diff --git "a/upernet_augreg_adapter_tiny_512_160k_ade20k.log" "b/upernet_augreg_adapter_tiny_512_160k_ade20k.log" new file mode 100644--- /dev/null +++ "b/upernet_augreg_adapter_tiny_512_160k_ade20k.log" @@ -0,0 +1,7303 @@ +2022-06-18 09:13:38,914 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: A100-SXM-80GB +CUDA_HOME: /mnt/lustre/share/cuda-11.1 +NVCC: Build cuda_11.1.TC455_06.29069683_0 +GCC: gcc (GCC) 7.3.0 +PyTorch: 1.9.0+cu111 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.0+cu111 +OpenCV: 4.5.5 +MMCV: 1.4.2 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.1 +MMSegmentation: 0.20.2+ +------------------------------------------------------------ + +2022-06-18 09:13:38,921 - mmseg - INFO - Distributed training: True +2022-06-18 09:13:39,357 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +model = dict( + type='EncoderDecoder', + pretrained= + 'pretrained/Ti_16-i21k-300ep-lr_0.001-aug_none-wd_0.03-do_0.0-sd_0.0--imagenet2012-steps_20k-lr_0.03-res_224.pth', + backbone=dict( + type='ViTAdapter', + patch_size=16, + embed_dim=192, + depth=12, + num_heads=3, + mlp_ratio=4, + drop_path_rate=0.1, + conv_inplane=64, + n_points=4, + deform_num_heads=6, + cffn_ratio=0.25, + deform_ratio=1.0, + layer_scale=True, + interaction_indexes=[[0, 2], [3, 5], [6, 8], [9, 11]], + window_attn=[ + False, False, False, False, False, False, False, False, False, + False, False, False + ], + window_size=[ + None, None, None, None, None, None, None, None, None, None, None, + None + ]), + decode_head=dict( + type='UPerHead', + in_channels=[192, 192, 192, 192], + in_index=[0, 1, 2, 3], + pool_scales=(1, 2, 3, 6), + channels=512, + dropout_ratio=0.1, + num_classes=150, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + auxiliary_head=dict( + type='FCNHead', + in_channels=192, + in_index=2, + channels=256, + num_convs=1, + concat_input=False, + dropout_ratio=0.1, + num_classes=150, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), + train_cfg=dict(), + test_cfg=dict(mode='slide', crop_size=(512, 512), stride=(341, 341))) +dataset_type = 'ADE20KDataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=True), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='ResizeToMultiple', size_divisor=32), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=4, + train=dict( + type='ADE20KDataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=True), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20KDataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='ResizeToMultiple', size_divisor=32), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20KDataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='ResizeToMultiple', size_divisor=32), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', + lr=0.00012, + betas=(0.9, 0.999), + weight_decay=0.01, + constructor='LayerDecayOptimizerConstructor', + paramwise_cfg=dict(num_layers=12, layer_decay_rate=0.95)) +optimizer_config = dict() +lr_config = dict( + policy='poly', + warmup='linear', + warmup_iters=1500, + warmup_ratio=1e-06, + power=1.0, + min_lr=0.0, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=1000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +pretrained = 'pretrained/Ti_16-i21k-300ep-lr_0.001-aug_none-wd_0.03-do_0.0-sd_0.0--imagenet2012-steps_20k-lr_0.03-res_224.pth' +fp16 = dict(loss_scale=dict(init_scale=512)) +work_dir = './work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2' +gpu_ids = range(0, 8) +auto_resume = False + +2022-06-18 09:13:47,931 - mmseg - INFO - Set random seed to 1249807556, deterministic: False +2022-06-18 09:13:48,337 - mmseg - WARNING - unexpected key in source state_dict: cls_token, norm.weight, norm.bias + +missing keys in source state_dict: blocks.2.gamma1, blocks.10.gamma1, blocks.9.gamma2, blocks.7.gamma2, blocks.10.gamma2, blocks.8.gamma2, blocks.5.gamma2, blocks.6.gamma1, blocks.7.gamma1, blocks.1.gamma1, blocks.9.gamma1, blocks.3.gamma2, blocks.3.gamma1, blocks.5.gamma1, blocks.8.gamma1, blocks.2.gamma2, blocks.0.gamma1, blocks.4.gamma2, blocks.1.gamma2, blocks.11.gamma2, blocks.4.gamma1, blocks.0.gamma2, blocks.11.gamma1, blocks.6.gamma2 + +2022-06-18 09:13:48,785 - mmseg - INFO - initialize UPerHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} +2022-06-18 09:13:48,904 - mmseg - INFO - initialize FCNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} +Name of parameter - Initialization information + +backbone.pos_embed - torch.Size([1, 197, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.level_embed - torch.Size([3, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.patch_embed.proj.weight - torch.Size([192, 3, 16, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.patch_embed.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.gamma1 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.gamma2 - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc1.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc2.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.stem.0.weight - torch.Size([64, 3, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.stem.1.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.stem.1.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.stem.3.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.stem.4.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.stem.4.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.stem.6.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.stem.7.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.stem.7.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.conv2.0.weight - torch.Size([128, 64, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.conv2.1.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.conv2.1.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.conv3.0.weight - torch.Size([256, 128, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.conv3.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.conv3.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.conv4.0.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.conv4.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.conv4.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc1.weight - torch.Size([192, 64, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc2.weight - torch.Size([192, 128, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc3.weight - torch.Size([192, 256, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc3.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc4.weight - torch.Size([192, 256, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc4.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.gamma - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([144, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([72, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([72]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([24, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([24]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.dwconv.dwconv.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([192, 48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.gamma - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([144, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([72, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([72]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([24, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([24]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.dwconv.dwconv.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([192, 48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.gamma - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([144, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([72, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([72]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([24, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([24]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.dwconv.dwconv.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([192, 48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.gamma - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([144, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([72, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([72]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([24, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([24]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.dwconv.dwconv.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([192, 48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.attn.attention_weights.weight - torch.Size([24, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.attn.attention_weights.bias - torch.Size([24]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([192, 48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.attn.attention_weights.weight - torch.Size([24, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.attn.attention_weights.bias - torch.Size([24]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.attn.value_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.attn.value_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.attn.output_proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.attn.output_proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([48, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([192, 48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.up.weight - torch.Size([192, 192, 2, 2]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.up.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm3.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm3.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm4.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm4.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.conv_seg.weight - torch.Size([150, 512, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +decode_head.conv_seg.bias - torch.Size([150]): +NormalInit: mean=0, std=0.01, bias=0 + +decode_head.psp_modules.0.1.conv.weight - torch.Size([512, 192, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.0.1.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.0.1.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.1.1.conv.weight - torch.Size([512, 192, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.1.1.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.1.1.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.2.1.conv.weight - torch.Size([512, 192, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.2.1.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.2.1.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.3.1.conv.weight - torch.Size([512, 192, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.3.1.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.3.1.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.bottleneck.conv.weight - torch.Size([512, 2240, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +decode_head.bottleneck.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.bottleneck.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.0.conv.weight - torch.Size([512, 192, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.0.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.0.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.1.conv.weight - torch.Size([512, 192, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.1.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.1.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.2.conv.weight - torch.Size([512, 192, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.2.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.2.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.0.conv.weight - torch.Size([512, 512, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.0.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.0.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.1.conv.weight - torch.Size([512, 512, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.1.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.1.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.2.conv.weight - torch.Size([512, 512, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.2.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.2.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_bottleneck.conv.weight - torch.Size([512, 2048, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +decode_head.fpn_bottleneck.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_bottleneck.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +auxiliary_head.conv_seg.weight - torch.Size([150, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +auxiliary_head.conv_seg.bias - torch.Size([150]): +NormalInit: mean=0, std=0.01, bias=0 + +auxiliary_head.convs.0.conv.weight - torch.Size([256, 192, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +auxiliary_head.convs.0.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +auxiliary_head.convs.0.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder +2022-06-18 09:13:48,909 - mmseg - INFO - EncoderDecoder( + (backbone): ViTAdapter( + (patch_embed): PatchEmbed( + (proj): Conv2d(3, 192, kernel_size=(16, 16), stride=(16, 16)) + (norm): Identity() + ) + (pos_drop): Dropout(p=0.0, inplace=False) + (blocks): Sequential( + (0): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): Identity() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (6): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (7): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (8): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (9): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (10): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (11): Block( + (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=192, out_features=576, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=192, out_features=192, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=192, out_features=768, bias=True) + (act): GELU() + (fc2): Linear(in_features=768, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (spm): SpatialPriorModule( + (stem): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) + (1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (4): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (7): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False) + ) + (conv2): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) + (1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + ) + (conv3): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) + (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + ) + (conv4): Sequential( + (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) + (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + ) + (fc1): Conv2d(64, 192, kernel_size=(1, 1), stride=(1, 1)) + (fc2): Conv2d(128, 192, kernel_size=(1, 1), stride=(1, 1)) + (fc3): Conv2d(256, 192, kernel_size=(1, 1), stride=(1, 1)) + (fc4): Conv2d(256, 192, kernel_size=(1, 1), stride=(1, 1)) + ) + (interactions): Sequential( + (0): InteractionBlock( + (injector): Injector( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=144, bias=True) + (attention_weights): Linear(in_features=192, out_features=72, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + ) + (extractor): Extractor( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) + (attention_weights): Linear(in_features=192, out_features=24, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=192, out_features=48, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) + ) + (act): GELU() + (fc2): Linear(in_features=48, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + ) + (1): InteractionBlock( + (injector): Injector( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=144, bias=True) + (attention_weights): Linear(in_features=192, out_features=72, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + ) + (extractor): Extractor( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) + (attention_weights): Linear(in_features=192, out_features=24, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=192, out_features=48, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) + ) + (act): GELU() + (fc2): Linear(in_features=48, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + ) + (2): InteractionBlock( + (injector): Injector( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=144, bias=True) + (attention_weights): Linear(in_features=192, out_features=72, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + ) + (extractor): Extractor( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) + (attention_weights): Linear(in_features=192, out_features=24, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=192, out_features=48, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) + ) + (act): GELU() + (fc2): Linear(in_features=48, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + ) + (3): InteractionBlock( + (injector): Injector( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=144, bias=True) + (attention_weights): Linear(in_features=192, out_features=72, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + ) + (extractor): Extractor( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) + (attention_weights): Linear(in_features=192, out_features=24, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=192, out_features=48, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) + ) + (act): GELU() + (fc2): Linear(in_features=48, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + (extra_extractors): Sequential( + (0): Extractor( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) + (attention_weights): Linear(in_features=192, out_features=24, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=192, out_features=48, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) + ) + (act): GELU() + (fc2): Linear(in_features=48, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (drop_path): Identity() + ) + (1): Extractor( + (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) + (attention_weights): Linear(in_features=192, out_features=24, bias=True) + (value_proj): Linear(in_features=192, out_features=192, bias=True) + (output_proj): Linear(in_features=192, out_features=192, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=192, out_features=48, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) + ) + (act): GELU() + (fc2): Linear(in_features=48, out_features=192, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) + (drop_path): Identity() + ) + ) + ) + ) + (up): ConvTranspose2d(192, 192, kernel_size=(2, 2), stride=(2, 2)) + (norm1): SyncBatchNorm(192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm2): SyncBatchNorm(192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm3): SyncBatchNorm(192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm4): SyncBatchNorm(192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + ) + (decode_head): UPerHead( + input_transform=multiple_select, ignore_index=255, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): Conv2d(512, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (psp_modules): PPM( + (0): Sequential( + (0): AdaptiveAvgPool2d(output_size=1) + (1): ConvModule( + (conv): Conv2d(192, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (1): Sequential( + (0): AdaptiveAvgPool2d(output_size=2) + (1): ConvModule( + (conv): Conv2d(192, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (2): Sequential( + (0): AdaptiveAvgPool2d(output_size=3) + (1): ConvModule( + (conv): Conv2d(192, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (3): Sequential( + (0): AdaptiveAvgPool2d(output_size=6) + (1): ConvModule( + (conv): Conv2d(192, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + ) + (bottleneck): ConvModule( + (conv): Conv2d(2240, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (lateral_convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(192, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + (1): ConvModule( + (conv): Conv2d(192, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + (2): ConvModule( + (conv): Conv2d(192, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + ) + (fpn_convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + (1): ConvModule( + (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + (2): ConvModule( + (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + ) + (fpn_bottleneck): ConvModule( + (conv): Conv2d(2048, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} + (auxiliary_head): FCNHead( + input_transform=None, ignore_index=255, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): Sequential( + (0): ConvModule( + (conv): Conv2d(192, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + ) + init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} +) +2022-06-18 09:13:49,358 - mmseg - INFO - Loaded 20210 images +2022-06-18 09:13:50,907 - mmseg - INFO - Loaded 2000 images +2022-06-18 09:13:50,908 - mmseg - INFO - Start running, host: chenzhe.vendor@SH-IDC1-10-140-1-140, work_dir: /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2 +2022-06-18 09:13:50,909 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) PolyLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) PolyLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) PolyLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2022-06-18 09:13:50,909 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2022-06-18 09:13:50,909 - mmseg - INFO - Checkpoints will be saved to /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2 by HardDiskBackend. +2022-06-18 09:14:39,193 - mmseg - INFO - Iter [50/160000] lr: 2.012e-06, eta: 14:00:57, time: 0.315, data_time: 0.005, memory: 36051, decode.loss_ce: 4.0444, decode.acc_seg: 0.6729, aux.loss_ce: 1.6267, aux.acc_seg: 0.8392, loss: 5.6710 +2022-06-18 09:14:50,471 - mmseg - INFO - Iter [100/160000] lr: 4.063e-06, eta: 11:46:37, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 3.9003, decode.acc_seg: 10.8894, aux.loss_ce: 1.6066, aux.acc_seg: 1.5800, loss: 5.5070 +2022-06-18 09:15:01,238 - mmseg - INFO - Iter [150/160000] lr: 6.113e-06, eta: 11:11:47, time: 0.226, data_time: 0.014, memory: 36051, decode.loss_ce: 3.5470, decode.acc_seg: 27.6230, aux.loss_ce: 1.5580, aux.acc_seg: 7.1965, loss: 5.1049 +2022-06-18 09:15:11,946 - mmseg - INFO - Iter [200/160000] lr: 8.162e-06, eta: 10:46:16, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 3.2188, decode.acc_seg: 31.6044, aux.loss_ce: 1.5384, aux.acc_seg: 15.7228, loss: 4.7573 +2022-06-18 09:15:22,661 - mmseg - INFO - Iter [250/160000] lr: 1.021e-05, eta: 10:30:58, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 2.9192, decode.acc_seg: 36.7022, aux.loss_ce: 1.4935, aux.acc_seg: 26.9340, loss: 4.4127 +2022-06-18 09:15:33,533 - mmseg - INFO - Iter [300/160000] lr: 1.226e-05, eta: 10:22:04, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 2.7135, decode.acc_seg: 37.4733, aux.loss_ce: 1.4207, aux.acc_seg: 32.7839, loss: 4.1342 +2022-06-18 09:15:43,935 - mmseg - INFO - Iter [350/160000] lr: 1.430e-05, eta: 10:12:08, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 2.3850, decode.acc_seg: 40.4061, aux.loss_ce: 1.2979, aux.acc_seg: 36.3468, loss: 3.6830 +2022-06-18 09:15:54,674 - mmseg - INFO - Iter [400/160000] lr: 1.635e-05, eta: 10:06:52, time: 0.215, data_time: 0.005, memory: 36051, decode.loss_ce: 2.2779, decode.acc_seg: 40.4846, aux.loss_ce: 1.2454, aux.acc_seg: 35.5059, loss: 3.5233 +2022-06-18 09:16:05,093 - mmseg - INFO - Iter [450/160000] lr: 1.839e-05, eta: 10:00:49, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 2.0749, decode.acc_seg: 42.2350, aux.loss_ce: 1.1511, aux.acc_seg: 37.4905, loss: 3.2260 +2022-06-18 09:16:15,650 - mmseg - INFO - Iter [500/160000] lr: 2.043e-05, eta: 9:56:41, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 1.9325, decode.acc_seg: 43.2656, aux.loss_ce: 1.0781, aux.acc_seg: 37.5890, loss: 3.0106 +2022-06-18 09:16:26,435 - mmseg - INFO - Iter [550/160000] lr: 2.247e-05, eta: 9:54:23, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 1.8670, decode.acc_seg: 44.3810, aux.loss_ce: 1.0302, aux.acc_seg: 38.6057, loss: 2.8971 +2022-06-18 09:16:37,455 - mmseg - INFO - Iter [600/160000] lr: 2.451e-05, eta: 9:53:29, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 1.7571, decode.acc_seg: 47.1808, aux.loss_ce: 0.9833, aux.acc_seg: 41.8480, loss: 2.7405 +2022-06-18 09:16:47,853 - mmseg - INFO - Iter [650/160000] lr: 2.654e-05, eta: 9:50:08, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 1.7078, decode.acc_seg: 45.6761, aux.loss_ce: 0.9233, aux.acc_seg: 40.8244, loss: 2.6311 +2022-06-18 09:16:58,553 - mmseg - INFO - Iter [700/160000] lr: 2.858e-05, eta: 9:48:24, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 1.6776, decode.acc_seg: 46.1618, aux.loss_ce: 0.8937, aux.acc_seg: 41.0269, loss: 2.5714 +2022-06-18 09:17:09,030 - mmseg - INFO - Iter [750/160000] lr: 3.062e-05, eta: 9:45:59, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 1.5798, decode.acc_seg: 48.3187, aux.loss_ce: 0.8375, aux.acc_seg: 43.5069, loss: 2.4173 +2022-06-18 09:17:19,722 - mmseg - INFO - Iter [800/160000] lr: 3.265e-05, eta: 9:44:41, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 1.5720, decode.acc_seg: 47.2639, aux.loss_ce: 0.8071, aux.acc_seg: 42.4675, loss: 2.3791 +2022-06-18 09:17:30,290 - mmseg - INFO - Iter [850/160000] lr: 3.468e-05, eta: 9:43:05, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 1.5413, decode.acc_seg: 46.4862, aux.loss_ce: 0.7743, aux.acc_seg: 43.2544, loss: 2.3155 +2022-06-18 09:17:41,254 - mmseg - INFO - Iter [900/160000] lr: 3.671e-05, eta: 9:42:49, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 1.5534, decode.acc_seg: 47.1853, aux.loss_ce: 0.7580, aux.acc_seg: 43.9120, loss: 2.3114 +2022-06-18 09:17:51,899 - mmseg - INFO - Iter [950/160000] lr: 3.874e-05, eta: 9:41:43, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 1.4714, decode.acc_seg: 47.6084, aux.loss_ce: 0.7194, aux.acc_seg: 44.3676, loss: 2.1908 +2022-06-18 09:18:02,497 - mmseg - INFO - Saving checkpoint at 1000 iterations +2022-06-18 09:18:04,674 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:18:04,674 - mmseg - INFO - Iter [1000/160000] lr: 4.077e-05, eta: 9:46:19, time: 0.255, data_time: 0.004, memory: 36051, decode.loss_ce: 1.4561, decode.acc_seg: 47.2251, aux.loss_ce: 0.7113, aux.acc_seg: 43.8296, loss: 2.1674 +2022-06-18 09:18:15,358 - mmseg - INFO - Iter [1050/160000] lr: 4.280e-05, eta: 9:45:03, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 1.4434, decode.acc_seg: 46.7176, aux.loss_ce: 0.6904, aux.acc_seg: 44.0138, loss: 2.1338 +2022-06-18 09:18:25,924 - mmseg - INFO - Iter [1100/160000] lr: 4.482e-05, eta: 9:43:48, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 1.4353, decode.acc_seg: 47.1348, aux.loss_ce: 0.6776, aux.acc_seg: 44.2691, loss: 2.1130 +2022-06-18 09:18:36,482 - mmseg - INFO - Iter [1150/160000] lr: 4.685e-05, eta: 9:42:35, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 1.3809, decode.acc_seg: 48.0180, aux.loss_ce: 0.6510, aux.acc_seg: 44.5877, loss: 2.0318 +2022-06-18 09:18:47,372 - mmseg - INFO - Iter [1200/160000] lr: 4.887e-05, eta: 9:42:09, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 1.3912, decode.acc_seg: 47.4519, aux.loss_ce: 0.6475, aux.acc_seg: 44.7114, loss: 2.0387 +2022-06-18 09:18:58,291 - mmseg - INFO - Iter [1250/160000] lr: 5.089e-05, eta: 9:41:46, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 1.3109, decode.acc_seg: 49.0238, aux.loss_ce: 0.6094, aux.acc_seg: 46.3929, loss: 1.9204 +2022-06-18 09:19:11,243 - mmseg - INFO - Iter [1300/160000] lr: 5.291e-05, eta: 9:45:36, time: 0.259, data_time: 0.048, memory: 36051, decode.loss_ce: 1.3271, decode.acc_seg: 48.4063, aux.loss_ce: 0.6113, aux.acc_seg: 46.4029, loss: 1.9384 +2022-06-18 09:19:21,834 - mmseg - INFO - Iter [1350/160000] lr: 5.493e-05, eta: 9:44:28, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 1.3413, decode.acc_seg: 48.5627, aux.loss_ce: 0.6183, aux.acc_seg: 46.4854, loss: 1.9597 +2022-06-18 09:19:32,515 - mmseg - INFO - Iter [1400/160000] lr: 5.695e-05, eta: 9:43:35, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 1.2906, decode.acc_seg: 50.2714, aux.loss_ce: 0.5974, aux.acc_seg: 48.2227, loss: 1.8880 +2022-06-18 09:19:43,515 - mmseg - INFO - Iter [1450/160000] lr: 5.897e-05, eta: 9:43:18, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 1.2256, decode.acc_seg: 51.0019, aux.loss_ce: 0.5581, aux.acc_seg: 49.0438, loss: 1.7837 +2022-06-18 09:19:54,148 - mmseg - INFO - Iter [1500/160000] lr: 6.098e-05, eta: 9:42:26, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 1.3191, decode.acc_seg: 49.7347, aux.loss_ce: 0.5958, aux.acc_seg: 48.4655, loss: 1.9149 +2022-06-18 09:20:04,750 - mmseg - INFO - Iter [1550/160000] lr: 6.100e-05, eta: 9:41:32, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 1.2459, decode.acc_seg: 49.7572, aux.loss_ce: 0.5568, aux.acc_seg: 48.3334, loss: 1.8027 +2022-06-18 09:20:15,435 - mmseg - INFO - Iter [1600/160000] lr: 6.099e-05, eta: 9:40:47, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 1.2023, decode.acc_seg: 51.2301, aux.loss_ce: 0.5399, aux.acc_seg: 50.2962, loss: 1.7421 +2022-06-18 09:20:26,407 - mmseg - INFO - Iter [1650/160000] lr: 6.097e-05, eta: 9:40:35, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 1.2868, decode.acc_seg: 50.3861, aux.loss_ce: 0.5758, aux.acc_seg: 48.9708, loss: 1.8626 +2022-06-18 09:20:37,565 - mmseg - INFO - Iter [1700/160000] lr: 6.095e-05, eta: 9:40:38, time: 0.223, data_time: 0.003, memory: 36051, decode.loss_ce: 1.2397, decode.acc_seg: 49.8011, aux.loss_ce: 0.5535, aux.acc_seg: 48.6138, loss: 1.7932 +2022-06-18 09:20:48,063 - mmseg - INFO - Iter [1750/160000] lr: 6.093e-05, eta: 9:39:42, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 1.2393, decode.acc_seg: 50.0638, aux.loss_ce: 0.5516, aux.acc_seg: 49.1813, loss: 1.7909 +2022-06-18 09:20:58,646 - mmseg - INFO - Iter [1800/160000] lr: 6.091e-05, eta: 9:38:55, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 1.1475, decode.acc_seg: 52.3120, aux.loss_ce: 0.5134, aux.acc_seg: 51.4137, loss: 1.6609 +2022-06-18 09:21:09,166 - mmseg - INFO - Iter [1850/160000] lr: 6.089e-05, eta: 9:38:05, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 1.1689, decode.acc_seg: 51.9917, aux.loss_ce: 0.5257, aux.acc_seg: 50.7107, loss: 1.6947 +2022-06-18 09:21:20,564 - mmseg - INFO - Iter [1900/160000] lr: 6.087e-05, eta: 9:37:53, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 1.1798, decode.acc_seg: 50.0312, aux.loss_ce: 0.5212, aux.acc_seg: 49.5971, loss: 1.7009 +2022-06-18 09:21:31,635 - mmseg - INFO - Iter [1950/160000] lr: 6.085e-05, eta: 9:38:26, time: 0.230, data_time: 0.013, memory: 36051, decode.loss_ce: 1.1983, decode.acc_seg: 51.9566, aux.loss_ce: 0.5309, aux.acc_seg: 51.0602, loss: 1.7293 +2022-06-18 09:21:42,138 - mmseg - INFO - Saving checkpoint at 2000 iterations +2022-06-18 09:21:43,380 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:21:43,381 - mmseg - INFO - Iter [2000/160000] lr: 6.083e-05, eta: 9:39:16, time: 0.235, data_time: 0.003, memory: 36051, decode.loss_ce: 1.1980, decode.acc_seg: 50.7980, aux.loss_ce: 0.5262, aux.acc_seg: 49.9137, loss: 1.7242 +2022-06-18 09:21:53,964 - mmseg - INFO - Iter [2050/160000] lr: 6.081e-05, eta: 9:38:33, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 1.1526, decode.acc_seg: 50.9234, aux.loss_ce: 0.5081, aux.acc_seg: 49.6221, loss: 1.6606 +2022-06-18 09:22:04,684 - mmseg - INFO - Iter [2100/160000] lr: 6.079e-05, eta: 9:38:02, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 1.2181, decode.acc_seg: 49.4986, aux.loss_ce: 0.5320, aux.acc_seg: 49.1697, loss: 1.7501 +2022-06-18 09:22:15,301 - mmseg - INFO - Iter [2150/160000] lr: 6.077e-05, eta: 9:37:24, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 1.2299, decode.acc_seg: 50.6476, aux.loss_ce: 0.5294, aux.acc_seg: 50.2412, loss: 1.7594 +2022-06-18 09:22:25,935 - mmseg - INFO - Iter [2200/160000] lr: 6.075e-05, eta: 9:36:48, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 1.1916, decode.acc_seg: 52.3632, aux.loss_ce: 0.5218, aux.acc_seg: 51.6333, loss: 1.7133 +2022-06-18 09:22:36,562 - mmseg - INFO - Iter [2250/160000] lr: 6.074e-05, eta: 9:36:14, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 1.1241, decode.acc_seg: 52.4516, aux.loss_ce: 0.4878, aux.acc_seg: 51.7362, loss: 1.6120 +2022-06-18 09:22:47,100 - mmseg - INFO - Iter [2300/160000] lr: 6.072e-05, eta: 9:35:34, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 1.1111, decode.acc_seg: 50.9788, aux.loss_ce: 0.4848, aux.acc_seg: 50.1004, loss: 1.5958 +2022-06-18 09:22:57,675 - mmseg - INFO - Iter [2350/160000] lr: 6.070e-05, eta: 9:34:58, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0664, decode.acc_seg: 52.3021, aux.loss_ce: 0.4679, aux.acc_seg: 51.4602, loss: 1.5343 +2022-06-18 09:23:08,266 - mmseg - INFO - Iter [2400/160000] lr: 6.068e-05, eta: 9:34:24, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 1.1056, decode.acc_seg: 52.5459, aux.loss_ce: 0.4881, aux.acc_seg: 51.0789, loss: 1.5937 +2022-06-18 09:23:19,074 - mmseg - INFO - Iter [2450/160000] lr: 6.066e-05, eta: 9:34:04, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0535, decode.acc_seg: 53.6936, aux.loss_ce: 0.4594, aux.acc_seg: 52.8062, loss: 1.5129 +2022-06-18 09:23:30,101 - mmseg - INFO - Iter [2500/160000] lr: 6.064e-05, eta: 9:34:00, time: 0.221, data_time: 0.003, memory: 36051, decode.loss_ce: 1.1129, decode.acc_seg: 51.0246, aux.loss_ce: 0.4838, aux.acc_seg: 49.8978, loss: 1.5967 +2022-06-18 09:23:44,051 - mmseg - INFO - Iter [2550/160000] lr: 6.062e-05, eta: 9:36:55, time: 0.279, data_time: 0.072, memory: 36051, decode.loss_ce: 1.0580, decode.acc_seg: 54.1371, aux.loss_ce: 0.4669, aux.acc_seg: 53.2090, loss: 1.5248 +2022-06-18 09:23:54,530 - mmseg - INFO - Iter [2600/160000] lr: 6.060e-05, eta: 9:36:13, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 1.0874, decode.acc_seg: 51.3188, aux.loss_ce: 0.4765, aux.acc_seg: 50.9856, loss: 1.5640 +2022-06-18 09:24:05,392 - mmseg - INFO - Iter [2650/160000] lr: 6.058e-05, eta: 9:35:55, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0620, decode.acc_seg: 55.2482, aux.loss_ce: 0.4615, aux.acc_seg: 54.1061, loss: 1.5235 +2022-06-18 09:24:16,293 - mmseg - INFO - Iter [2700/160000] lr: 6.056e-05, eta: 9:35:39, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 1.0448, decode.acc_seg: 53.3311, aux.loss_ce: 0.4590, aux.acc_seg: 52.4634, loss: 1.5038 +2022-06-18 09:24:26,854 - mmseg - INFO - Iter [2750/160000] lr: 6.054e-05, eta: 9:35:03, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0162, decode.acc_seg: 54.9579, aux.loss_ce: 0.4496, aux.acc_seg: 53.8505, loss: 1.4658 +2022-06-18 09:24:37,542 - mmseg - INFO - Iter [2800/160000] lr: 6.052e-05, eta: 9:34:37, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0486, decode.acc_seg: 51.5729, aux.loss_ce: 0.4549, aux.acc_seg: 50.7231, loss: 1.5035 +2022-06-18 09:24:48,101 - mmseg - INFO - Iter [2850/160000] lr: 6.050e-05, eta: 9:34:04, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0380, decode.acc_seg: 52.4574, aux.loss_ce: 0.4534, aux.acc_seg: 51.5583, loss: 1.4914 +2022-06-18 09:24:58,434 - mmseg - INFO - Iter [2900/160000] lr: 6.048e-05, eta: 9:33:19, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 1.0803, decode.acc_seg: 52.2331, aux.loss_ce: 0.4646, aux.acc_seg: 51.3368, loss: 1.5449 +2022-06-18 09:25:09,006 - mmseg - INFO - Iter [2950/160000] lr: 6.047e-05, eta: 9:32:48, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0196, decode.acc_seg: 53.2421, aux.loss_ce: 0.4434, aux.acc_seg: 52.4840, loss: 1.4630 +2022-06-18 09:25:19,961 - mmseg - INFO - Saving checkpoint at 3000 iterations +2022-06-18 09:25:22,027 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:25:22,027 - mmseg - INFO - Iter [3000/160000] lr: 6.045e-05, eta: 9:34:26, time: 0.260, data_time: 0.003, memory: 36051, decode.loss_ce: 1.0059, decode.acc_seg: 55.1501, aux.loss_ce: 0.4414, aux.acc_seg: 53.9050, loss: 1.4473 +2022-06-18 09:25:32,817 - mmseg - INFO - Iter [3050/160000] lr: 6.043e-05, eta: 9:34:05, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9666, decode.acc_seg: 55.3658, aux.loss_ce: 0.4234, aux.acc_seg: 54.0972, loss: 1.3900 +2022-06-18 09:25:43,811 - mmseg - INFO - Iter [3100/160000] lr: 6.041e-05, eta: 9:33:55, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 1.0383, decode.acc_seg: 53.6167, aux.loss_ce: 0.4487, aux.acc_seg: 52.6811, loss: 1.4870 +2022-06-18 09:25:54,486 - mmseg - INFO - Iter [3150/160000] lr: 6.039e-05, eta: 9:33:30, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0140, decode.acc_seg: 54.3740, aux.loss_ce: 0.4379, aux.acc_seg: 53.4494, loss: 1.4519 +2022-06-18 09:26:04,953 - mmseg - INFO - Iter [3200/160000] lr: 6.037e-05, eta: 9:32:54, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 1.0204, decode.acc_seg: 53.4007, aux.loss_ce: 0.4441, aux.acc_seg: 52.5403, loss: 1.4645 +2022-06-18 09:26:15,695 - mmseg - INFO - Iter [3250/160000] lr: 6.035e-05, eta: 9:32:32, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9725, decode.acc_seg: 53.3723, aux.loss_ce: 0.4222, aux.acc_seg: 52.3607, loss: 1.3947 +2022-06-18 09:26:26,701 - mmseg - INFO - Iter [3300/160000] lr: 6.033e-05, eta: 9:32:24, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 1.0287, decode.acc_seg: 52.9966, aux.loss_ce: 0.4419, aux.acc_seg: 52.0724, loss: 1.4706 +2022-06-18 09:26:37,422 - mmseg - INFO - Iter [3350/160000] lr: 6.031e-05, eta: 9:32:02, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0486, decode.acc_seg: 52.9655, aux.loss_ce: 0.4484, aux.acc_seg: 52.1699, loss: 1.4970 +2022-06-18 09:26:48,130 - mmseg - INFO - Iter [3400/160000] lr: 6.029e-05, eta: 9:31:39, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.9882, decode.acc_seg: 55.9751, aux.loss_ce: 0.4244, aux.acc_seg: 54.8236, loss: 1.4126 +2022-06-18 09:26:58,911 - mmseg - INFO - Iter [3450/160000] lr: 6.027e-05, eta: 9:31:21, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0268, decode.acc_seg: 54.3645, aux.loss_ce: 0.4425, aux.acc_seg: 53.3273, loss: 1.4693 +2022-06-18 09:27:09,619 - mmseg - INFO - Iter [3500/160000] lr: 6.025e-05, eta: 9:30:59, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 1.0168, decode.acc_seg: 54.1869, aux.loss_ce: 0.4361, aux.acc_seg: 53.3073, loss: 1.4529 +2022-06-18 09:27:20,483 - mmseg - INFO - Iter [3550/160000] lr: 6.023e-05, eta: 9:30:44, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9927, decode.acc_seg: 54.5628, aux.loss_ce: 0.4301, aux.acc_seg: 53.3693, loss: 1.4228 +2022-06-18 09:27:31,474 - mmseg - INFO - Iter [3600/160000] lr: 6.022e-05, eta: 9:30:35, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0157, decode.acc_seg: 53.4544, aux.loss_ce: 0.4372, aux.acc_seg: 52.5145, loss: 1.4528 +2022-06-18 09:27:42,075 - mmseg - INFO - Iter [3650/160000] lr: 6.020e-05, eta: 9:30:10, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 1.0239, decode.acc_seg: 53.9104, aux.loss_ce: 0.4342, aux.acc_seg: 53.2715, loss: 1.4581 +2022-06-18 09:27:53,014 - mmseg - INFO - Iter [3700/160000] lr: 6.018e-05, eta: 9:29:58, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9828, decode.acc_seg: 56.0235, aux.loss_ce: 0.4237, aux.acc_seg: 54.7894, loss: 1.4065 +2022-06-18 09:28:03,590 - mmseg - INFO - Iter [3750/160000] lr: 6.016e-05, eta: 9:29:33, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9430, decode.acc_seg: 55.5682, aux.loss_ce: 0.4060, aux.acc_seg: 54.4858, loss: 1.3490 +2022-06-18 09:28:16,349 - mmseg - INFO - Iter [3800/160000] lr: 6.014e-05, eta: 9:30:37, time: 0.255, data_time: 0.049, memory: 36051, decode.loss_ce: 0.9493, decode.acc_seg: 54.8847, aux.loss_ce: 0.4094, aux.acc_seg: 53.6097, loss: 1.3587 +2022-06-18 09:28:26,844 - mmseg - INFO - Iter [3850/160000] lr: 6.012e-05, eta: 9:30:07, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.9512, decode.acc_seg: 53.1643, aux.loss_ce: 0.4132, aux.acc_seg: 52.0672, loss: 1.3644 +2022-06-18 09:28:37,568 - mmseg - INFO - Iter [3900/160000] lr: 6.010e-05, eta: 9:29:47, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9615, decode.acc_seg: 55.7402, aux.loss_ce: 0.4113, aux.acc_seg: 54.8294, loss: 1.3728 +2022-06-18 09:28:48,129 - mmseg - INFO - Iter [3950/160000] lr: 6.008e-05, eta: 9:29:20, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.9271, decode.acc_seg: 57.2499, aux.loss_ce: 0.4019, aux.acc_seg: 56.1130, loss: 1.3290 +2022-06-18 09:28:58,653 - mmseg - INFO - Saving checkpoint at 4000 iterations +2022-06-18 09:29:00,710 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:29:00,713 - mmseg - INFO - Iter [4000/160000] lr: 6.006e-05, eta: 9:30:13, time: 0.252, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9200, decode.acc_seg: 56.0229, aux.loss_ce: 0.3929, aux.acc_seg: 55.4909, loss: 1.3130 +2022-06-18 09:29:12,130 - mmseg - INFO - Iter [4050/160000] lr: 6.004e-05, eta: 9:30:20, time: 0.228, data_time: 0.005, memory: 36051, decode.loss_ce: 0.9565, decode.acc_seg: 54.9216, aux.loss_ce: 0.4101, aux.acc_seg: 53.9062, loss: 1.3665 +2022-06-18 09:29:22,963 - mmseg - INFO - Iter [4100/160000] lr: 6.002e-05, eta: 9:30:03, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9332, decode.acc_seg: 56.9890, aux.loss_ce: 0.4004, aux.acc_seg: 55.7984, loss: 1.3336 +2022-06-18 09:29:33,633 - mmseg - INFO - Iter [4150/160000] lr: 6.000e-05, eta: 9:29:41, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8908, decode.acc_seg: 56.9870, aux.loss_ce: 0.3839, aux.acc_seg: 56.0351, loss: 1.2748 +2022-06-18 09:29:44,219 - mmseg - INFO - Iter [4200/160000] lr: 5.998e-05, eta: 9:29:16, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.9226, decode.acc_seg: 55.9915, aux.loss_ce: 0.3898, aux.acc_seg: 55.6135, loss: 1.3123 +2022-06-18 09:29:54,875 - mmseg - INFO - Iter [4250/160000] lr: 5.997e-05, eta: 9:28:54, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9884, decode.acc_seg: 55.2310, aux.loss_ce: 0.4228, aux.acc_seg: 54.1358, loss: 1.4112 +2022-06-18 09:30:05,452 - mmseg - INFO - Iter [4300/160000] lr: 5.995e-05, eta: 9:28:28, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.9455, decode.acc_seg: 56.1267, aux.loss_ce: 0.4020, aux.acc_seg: 55.2723, loss: 1.3475 +2022-06-18 09:30:16,103 - mmseg - INFO - Iter [4350/160000] lr: 5.993e-05, eta: 9:28:07, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8982, decode.acc_seg: 55.9053, aux.loss_ce: 0.3865, aux.acc_seg: 54.8457, loss: 1.2847 +2022-06-18 09:30:26,692 - mmseg - INFO - Iter [4400/160000] lr: 5.991e-05, eta: 9:27:44, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9379, decode.acc_seg: 55.9659, aux.loss_ce: 0.3999, aux.acc_seg: 55.0512, loss: 1.3378 +2022-06-18 09:30:37,482 - mmseg - INFO - Iter [4450/160000] lr: 5.989e-05, eta: 9:27:27, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9514, decode.acc_seg: 56.3322, aux.loss_ce: 0.4019, aux.acc_seg: 55.7762, loss: 1.3533 +2022-06-18 09:30:47,999 - mmseg - INFO - Iter [4500/160000] lr: 5.987e-05, eta: 9:27:01, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8871, decode.acc_seg: 55.8153, aux.loss_ce: 0.3749, aux.acc_seg: 55.0536, loss: 1.2620 +2022-06-18 09:30:58,594 - mmseg - INFO - Iter [4550/160000] lr: 5.985e-05, eta: 9:26:39, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8934, decode.acc_seg: 56.5616, aux.loss_ce: 0.3849, aux.acc_seg: 55.7391, loss: 1.2783 +2022-06-18 09:31:09,174 - mmseg - INFO - Iter [4600/160000] lr: 5.983e-05, eta: 9:26:15, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.9001, decode.acc_seg: 55.7095, aux.loss_ce: 0.3834, aux.acc_seg: 54.5867, loss: 1.2835 +2022-06-18 09:31:19,997 - mmseg - INFO - Iter [4650/160000] lr: 5.981e-05, eta: 9:26:01, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9221, decode.acc_seg: 56.6189, aux.loss_ce: 0.3916, aux.acc_seg: 55.5494, loss: 1.3137 +2022-06-18 09:31:30,625 - mmseg - INFO - Iter [4700/160000] lr: 5.979e-05, eta: 9:25:40, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.9049, decode.acc_seg: 55.2439, aux.loss_ce: 0.3862, aux.acc_seg: 54.4269, loss: 1.2911 +2022-06-18 09:31:41,226 - mmseg - INFO - Iter [4750/160000] lr: 5.977e-05, eta: 9:25:18, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9166, decode.acc_seg: 56.0707, aux.loss_ce: 0.3857, aux.acc_seg: 55.5355, loss: 1.3023 +2022-06-18 09:31:51,792 - mmseg - INFO - Iter [4800/160000] lr: 5.975e-05, eta: 9:24:56, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9083, decode.acc_seg: 54.8240, aux.loss_ce: 0.3849, aux.acc_seg: 54.0036, loss: 1.2933 +2022-06-18 09:32:02,902 - mmseg - INFO - Iter [4850/160000] lr: 5.973e-05, eta: 9:24:51, time: 0.222, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9367, decode.acc_seg: 54.8432, aux.loss_ce: 0.3953, aux.acc_seg: 54.0490, loss: 1.3320 +2022-06-18 09:32:13,483 - mmseg - INFO - Iter [4900/160000] lr: 5.971e-05, eta: 9:24:29, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9278, decode.acc_seg: 55.5176, aux.loss_ce: 0.3884, aux.acc_seg: 54.7986, loss: 1.3162 +2022-06-18 09:32:24,168 - mmseg - INFO - Iter [4950/160000] lr: 5.970e-05, eta: 9:24:11, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8834, decode.acc_seg: 56.0356, aux.loss_ce: 0.3743, aux.acc_seg: 55.2935, loss: 1.2577 +2022-06-18 09:32:34,853 - mmseg - INFO - Saving checkpoint at 5000 iterations +2022-06-18 09:32:36,847 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:32:36,847 - mmseg - INFO - Iter [5000/160000] lr: 5.968e-05, eta: 9:24:55, time: 0.254, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8999, decode.acc_seg: 54.5111, aux.loss_ce: 0.3840, aux.acc_seg: 53.7406, loss: 1.2840 +2022-06-18 09:32:47,435 - mmseg - INFO - Iter [5050/160000] lr: 5.966e-05, eta: 9:24:32, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8788, decode.acc_seg: 55.4273, aux.loss_ce: 0.3734, aux.acc_seg: 54.7409, loss: 1.2521 +2022-06-18 09:33:00,587 - mmseg - INFO - Iter [5100/160000] lr: 5.964e-05, eta: 9:25:29, time: 0.264, data_time: 0.052, memory: 36051, decode.loss_ce: 0.8699, decode.acc_seg: 56.8285, aux.loss_ce: 0.3709, aux.acc_seg: 56.0210, loss: 1.2408 +2022-06-18 09:33:11,397 - mmseg - INFO - Iter [5150/160000] lr: 5.962e-05, eta: 9:25:15, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8673, decode.acc_seg: 56.2579, aux.loss_ce: 0.3671, aux.acc_seg: 55.6682, loss: 1.2343 +2022-06-18 09:33:21,932 - mmseg - INFO - Iter [5200/160000] lr: 5.960e-05, eta: 9:24:51, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8973, decode.acc_seg: 55.9628, aux.loss_ce: 0.3824, aux.acc_seg: 55.4662, loss: 1.2797 +2022-06-18 09:33:33,009 - mmseg - INFO - Iter [5250/160000] lr: 5.958e-05, eta: 9:24:44, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8962, decode.acc_seg: 56.6753, aux.loss_ce: 0.3822, aux.acc_seg: 55.9935, loss: 1.2784 +2022-06-18 09:33:43,690 - mmseg - INFO - Iter [5300/160000] lr: 5.956e-05, eta: 9:24:25, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8518, decode.acc_seg: 56.8365, aux.loss_ce: 0.3612, aux.acc_seg: 56.1023, loss: 1.2131 +2022-06-18 09:33:54,544 - mmseg - INFO - Iter [5350/160000] lr: 5.954e-05, eta: 9:24:11, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8524, decode.acc_seg: 56.0736, aux.loss_ce: 0.3574, aux.acc_seg: 55.9016, loss: 1.2098 +2022-06-18 09:34:05,556 - mmseg - INFO - Iter [5400/160000] lr: 5.952e-05, eta: 9:24:03, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9322, decode.acc_seg: 53.9818, aux.loss_ce: 0.3898, aux.acc_seg: 53.3838, loss: 1.3219 +2022-06-18 09:34:16,504 - mmseg - INFO - Iter [5450/160000] lr: 5.950e-05, eta: 9:23:52, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8227, decode.acc_seg: 56.5145, aux.loss_ce: 0.3494, aux.acc_seg: 55.9383, loss: 1.1721 +2022-06-18 09:34:27,440 - mmseg - INFO - Iter [5500/160000] lr: 5.948e-05, eta: 9:23:40, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8677, decode.acc_seg: 55.8204, aux.loss_ce: 0.3685, aux.acc_seg: 55.0906, loss: 1.2361 +2022-06-18 09:34:38,009 - mmseg - INFO - Iter [5550/160000] lr: 5.946e-05, eta: 9:23:19, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8533, decode.acc_seg: 55.8344, aux.loss_ce: 0.3621, aux.acc_seg: 55.1449, loss: 1.2154 +2022-06-18 09:34:49,060 - mmseg - INFO - Iter [5600/160000] lr: 5.945e-05, eta: 9:23:11, time: 0.221, data_time: 0.011, memory: 36051, decode.loss_ce: 0.9022, decode.acc_seg: 55.3334, aux.loss_ce: 0.3768, aux.acc_seg: 54.8820, loss: 1.2791 +2022-06-18 09:34:59,676 - mmseg - INFO - Iter [5650/160000] lr: 5.943e-05, eta: 9:22:51, time: 0.212, data_time: 0.007, memory: 36051, decode.loss_ce: 0.8956, decode.acc_seg: 57.1540, aux.loss_ce: 0.3790, aux.acc_seg: 56.1364, loss: 1.2746 +2022-06-18 09:35:10,366 - mmseg - INFO - Iter [5700/160000] lr: 5.941e-05, eta: 9:22:33, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.9071, decode.acc_seg: 56.7764, aux.loss_ce: 0.3804, aux.acc_seg: 55.9546, loss: 1.2875 +2022-06-18 09:35:21,204 - mmseg - INFO - Iter [5750/160000] lr: 5.939e-05, eta: 9:22:15, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8995, decode.acc_seg: 55.3424, aux.loss_ce: 0.3780, aux.acc_seg: 54.6524, loss: 1.2776 +2022-06-18 09:35:31,958 - mmseg - INFO - Iter [5800/160000] lr: 5.937e-05, eta: 9:22:04, time: 0.219, data_time: 0.007, memory: 36051, decode.loss_ce: 0.9227, decode.acc_seg: 56.3314, aux.loss_ce: 0.3839, aux.acc_seg: 55.7474, loss: 1.3066 +2022-06-18 09:35:42,456 - mmseg - INFO - Iter [5850/160000] lr: 5.935e-05, eta: 9:21:42, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8599, decode.acc_seg: 57.8874, aux.loss_ce: 0.3631, aux.acc_seg: 57.1975, loss: 1.2230 +2022-06-18 09:35:53,201 - mmseg - INFO - Iter [5900/160000] lr: 5.933e-05, eta: 9:21:26, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8597, decode.acc_seg: 55.8178, aux.loss_ce: 0.3624, aux.acc_seg: 55.1516, loss: 1.2221 +2022-06-18 09:36:03,790 - mmseg - INFO - Iter [5950/160000] lr: 5.931e-05, eta: 9:21:06, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8536, decode.acc_seg: 55.3871, aux.loss_ce: 0.3607, aux.acc_seg: 54.8162, loss: 1.2143 +2022-06-18 09:36:14,360 - mmseg - INFO - Saving checkpoint at 6000 iterations +2022-06-18 09:36:16,401 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:36:16,402 - mmseg - INFO - Iter [6000/160000] lr: 5.929e-05, eta: 9:21:39, time: 0.253, data_time: 0.004, memory: 36051, decode.loss_ce: 0.9327, decode.acc_seg: 57.1664, aux.loss_ce: 0.3894, aux.acc_seg: 56.3517, loss: 1.3221 +2022-06-18 09:36:26,947 - mmseg - INFO - Iter [6050/160000] lr: 5.927e-05, eta: 9:21:18, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8100, decode.acc_seg: 59.7538, aux.loss_ce: 0.3421, aux.acc_seg: 59.0235, loss: 1.1522 +2022-06-18 09:36:37,655 - mmseg - INFO - Iter [6100/160000] lr: 5.925e-05, eta: 9:21:01, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8505, decode.acc_seg: 56.4063, aux.loss_ce: 0.3564, aux.acc_seg: 55.5247, loss: 1.2068 +2022-06-18 09:36:48,744 - mmseg - INFO - Iter [6150/160000] lr: 5.923e-05, eta: 9:20:54, time: 0.222, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8164, decode.acc_seg: 58.3382, aux.loss_ce: 0.3456, aux.acc_seg: 57.6160, loss: 1.1620 +2022-06-18 09:36:59,550 - mmseg - INFO - Iter [6200/160000] lr: 5.921e-05, eta: 9:20:39, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8420, decode.acc_seg: 57.6238, aux.loss_ce: 0.3560, aux.acc_seg: 56.7673, loss: 1.1980 +2022-06-18 09:37:10,194 - mmseg - INFO - Iter [6250/160000] lr: 5.920e-05, eta: 9:20:21, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8760, decode.acc_seg: 55.8475, aux.loss_ce: 0.3676, aux.acc_seg: 55.2794, loss: 1.2436 +2022-06-18 09:37:20,770 - mmseg - INFO - Iter [6300/160000] lr: 5.918e-05, eta: 9:20:02, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8054, decode.acc_seg: 56.9423, aux.loss_ce: 0.3381, aux.acc_seg: 56.2298, loss: 1.1435 +2022-06-18 09:37:34,377 - mmseg - INFO - Iter [6350/160000] lr: 5.916e-05, eta: 9:20:55, time: 0.272, data_time: 0.065, memory: 36051, decode.loss_ce: 0.8317, decode.acc_seg: 55.3083, aux.loss_ce: 0.3522, aux.acc_seg: 54.5483, loss: 1.1838 +2022-06-18 09:37:45,111 - mmseg - INFO - Iter [6400/160000] lr: 5.914e-05, eta: 9:20:39, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8292, decode.acc_seg: 58.3443, aux.loss_ce: 0.3520, aux.acc_seg: 57.5402, loss: 1.1813 +2022-06-18 09:37:56,082 - mmseg - INFO - Iter [6450/160000] lr: 5.912e-05, eta: 9:20:29, time: 0.219, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8575, decode.acc_seg: 57.4071, aux.loss_ce: 0.3580, aux.acc_seg: 56.6821, loss: 1.2156 +2022-06-18 09:38:07,188 - mmseg - INFO - Iter [6500/160000] lr: 5.910e-05, eta: 9:20:20, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8271, decode.acc_seg: 57.1828, aux.loss_ce: 0.3490, aux.acc_seg: 56.4030, loss: 1.1761 +2022-06-18 09:38:17,977 - mmseg - INFO - Iter [6550/160000] lr: 5.908e-05, eta: 9:20:07, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8403, decode.acc_seg: 58.3955, aux.loss_ce: 0.3489, aux.acc_seg: 57.8312, loss: 1.1892 +2022-06-18 09:38:28,445 - mmseg - INFO - Iter [6600/160000] lr: 5.906e-05, eta: 9:19:44, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7725, decode.acc_seg: 58.0301, aux.loss_ce: 0.3252, aux.acc_seg: 57.2992, loss: 1.0976 +2022-06-18 09:38:39,209 - mmseg - INFO - Iter [6650/160000] lr: 5.904e-05, eta: 9:19:29, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8443, decode.acc_seg: 58.2175, aux.loss_ce: 0.3567, aux.acc_seg: 57.4938, loss: 1.2011 +2022-06-18 09:38:49,730 - mmseg - INFO - Iter [6700/160000] lr: 5.902e-05, eta: 9:19:09, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8329, decode.acc_seg: 56.3565, aux.loss_ce: 0.3473, aux.acc_seg: 55.9328, loss: 1.1802 +2022-06-18 09:39:00,223 - mmseg - INFO - Iter [6750/160000] lr: 5.900e-05, eta: 9:18:48, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8830, decode.acc_seg: 55.4984, aux.loss_ce: 0.3692, aux.acc_seg: 54.8367, loss: 1.2521 +2022-06-18 09:39:11,071 - mmseg - INFO - Iter [6800/160000] lr: 5.898e-05, eta: 9:18:33, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8090, decode.acc_seg: 57.2125, aux.loss_ce: 0.3385, aux.acc_seg: 56.6560, loss: 1.1475 +2022-06-18 09:39:21,481 - mmseg - INFO - Iter [6850/160000] lr: 5.896e-05, eta: 9:18:12, time: 0.209, data_time: 0.005, memory: 36051, decode.loss_ce: 0.8330, decode.acc_seg: 57.4385, aux.loss_ce: 0.3500, aux.acc_seg: 57.1838, loss: 1.1830 +2022-06-18 09:39:32,059 - mmseg - INFO - Iter [6900/160000] lr: 5.894e-05, eta: 9:17:53, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8376, decode.acc_seg: 56.8255, aux.loss_ce: 0.3509, aux.acc_seg: 56.2091, loss: 1.1885 +2022-06-18 09:39:42,793 - mmseg - INFO - Iter [6950/160000] lr: 5.893e-05, eta: 9:17:38, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8262, decode.acc_seg: 58.2781, aux.loss_ce: 0.3477, aux.acc_seg: 57.7648, loss: 1.1740 +2022-06-18 09:39:53,392 - mmseg - INFO - Saving checkpoint at 7000 iterations +2022-06-18 09:39:55,737 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:39:55,738 - mmseg - INFO - Iter [7000/160000] lr: 5.891e-05, eta: 9:18:11, time: 0.259, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8672, decode.acc_seg: 57.4737, aux.loss_ce: 0.3635, aux.acc_seg: 56.8056, loss: 1.2307 +2022-06-18 09:40:06,728 - mmseg - INFO - Iter [7050/160000] lr: 5.889e-05, eta: 9:18:01, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8169, decode.acc_seg: 57.3522, aux.loss_ce: 0.3436, aux.acc_seg: 56.6218, loss: 1.1604 +2022-06-18 09:40:17,394 - mmseg - INFO - Iter [7100/160000] lr: 5.887e-05, eta: 9:17:44, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7932, decode.acc_seg: 58.7206, aux.loss_ce: 0.3324, aux.acc_seg: 58.2114, loss: 1.1256 +2022-06-18 09:40:28,074 - mmseg - INFO - Iter [7150/160000] lr: 5.885e-05, eta: 9:17:27, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8511, decode.acc_seg: 57.3426, aux.loss_ce: 0.3547, aux.acc_seg: 56.7649, loss: 1.2059 +2022-06-18 09:40:38,969 - mmseg - INFO - Iter [7200/160000] lr: 5.883e-05, eta: 9:17:15, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8695, decode.acc_seg: 56.4936, aux.loss_ce: 0.3629, aux.acc_seg: 56.0194, loss: 1.2324 +2022-06-18 09:40:49,521 - mmseg - INFO - Iter [7250/160000] lr: 5.881e-05, eta: 9:16:56, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8306, decode.acc_seg: 57.3381, aux.loss_ce: 0.3450, aux.acc_seg: 57.1203, loss: 1.1756 +2022-06-18 09:41:00,913 - mmseg - INFO - Iter [7300/160000] lr: 5.879e-05, eta: 9:16:55, time: 0.228, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7989, decode.acc_seg: 58.7199, aux.loss_ce: 0.3367, aux.acc_seg: 58.0720, loss: 1.1356 +2022-06-18 09:41:11,643 - mmseg - INFO - Iter [7350/160000] lr: 5.877e-05, eta: 9:16:39, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8161, decode.acc_seg: 57.6312, aux.loss_ce: 0.3422, aux.acc_seg: 57.0992, loss: 1.1583 +2022-06-18 09:41:22,523 - mmseg - INFO - Iter [7400/160000] lr: 5.875e-05, eta: 9:16:27, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8443, decode.acc_seg: 57.6008, aux.loss_ce: 0.3530, aux.acc_seg: 57.2703, loss: 1.1974 +2022-06-18 09:41:33,071 - mmseg - INFO - Iter [7450/160000] lr: 5.873e-05, eta: 9:16:08, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8699, decode.acc_seg: 57.7757, aux.loss_ce: 0.3620, aux.acc_seg: 57.1972, loss: 1.2319 +2022-06-18 09:41:43,801 - mmseg - INFO - Iter [7500/160000] lr: 5.871e-05, eta: 9:15:53, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8509, decode.acc_seg: 57.8880, aux.loss_ce: 0.3548, aux.acc_seg: 57.3043, loss: 1.2057 +2022-06-18 09:41:54,609 - mmseg - INFO - Iter [7550/160000] lr: 5.869e-05, eta: 9:15:40, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8507, decode.acc_seg: 56.8351, aux.loss_ce: 0.3568, aux.acc_seg: 56.3122, loss: 1.2074 +2022-06-18 09:42:07,359 - mmseg - INFO - Iter [7600/160000] lr: 5.868e-05, eta: 9:16:05, time: 0.255, data_time: 0.049, memory: 36051, decode.loss_ce: 0.8434, decode.acc_seg: 57.4155, aux.loss_ce: 0.3491, aux.acc_seg: 57.1648, loss: 1.1925 +2022-06-18 09:42:18,059 - mmseg - INFO - Iter [7650/160000] lr: 5.866e-05, eta: 9:15:48, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7770, decode.acc_seg: 58.4666, aux.loss_ce: 0.3271, aux.acc_seg: 57.9363, loss: 1.1041 +2022-06-18 09:42:28,625 - mmseg - INFO - Iter [7700/160000] lr: 5.864e-05, eta: 9:15:31, time: 0.212, data_time: 0.005, memory: 36051, decode.loss_ce: 0.7883, decode.acc_seg: 58.1344, aux.loss_ce: 0.3328, aux.acc_seg: 57.3747, loss: 1.1211 +2022-06-18 09:42:39,499 - mmseg - INFO - Iter [7750/160000] lr: 5.862e-05, eta: 9:15:18, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8336, decode.acc_seg: 56.7722, aux.loss_ce: 0.3498, aux.acc_seg: 55.9709, loss: 1.1834 +2022-06-18 09:42:50,191 - mmseg - INFO - Iter [7800/160000] lr: 5.860e-05, eta: 9:15:02, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8145, decode.acc_seg: 57.5885, aux.loss_ce: 0.3413, aux.acc_seg: 57.0600, loss: 1.1558 +2022-06-18 09:43:00,791 - mmseg - INFO - Iter [7850/160000] lr: 5.858e-05, eta: 9:14:45, time: 0.213, data_time: 0.005, memory: 36051, decode.loss_ce: 0.7746, decode.acc_seg: 57.2870, aux.loss_ce: 0.3242, aux.acc_seg: 56.8698, loss: 1.0988 +2022-06-18 09:43:11,582 - mmseg - INFO - Iter [7900/160000] lr: 5.856e-05, eta: 9:14:31, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8026, decode.acc_seg: 57.1239, aux.loss_ce: 0.3369, aux.acc_seg: 56.3920, loss: 1.1395 +2022-06-18 09:43:22,083 - mmseg - INFO - Iter [7950/160000] lr: 5.854e-05, eta: 9:14:12, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8071, decode.acc_seg: 59.9599, aux.loss_ce: 0.3370, aux.acc_seg: 59.3112, loss: 1.1441 +2022-06-18 09:43:32,679 - mmseg - INFO - Saving checkpoint at 8000 iterations +2022-06-18 09:43:35,329 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:43:35,329 - mmseg - INFO - Iter [8000/160000] lr: 5.852e-05, eta: 9:14:45, time: 0.265, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8008, decode.acc_seg: 57.3801, aux.loss_ce: 0.3308, aux.acc_seg: 57.0797, loss: 1.1316 +2022-06-18 09:43:46,311 - mmseg - INFO - Iter [8050/160000] lr: 5.850e-05, eta: 9:14:35, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8024, decode.acc_seg: 58.6366, aux.loss_ce: 0.3347, aux.acc_seg: 58.1498, loss: 1.1371 +2022-06-18 09:43:56,980 - mmseg - INFO - Iter [8100/160000] lr: 5.848e-05, eta: 9:14:18, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7884, decode.acc_seg: 55.4557, aux.loss_ce: 0.3313, aux.acc_seg: 54.9352, loss: 1.1197 +2022-06-18 09:44:07,653 - mmseg - INFO - Iter [8150/160000] lr: 5.846e-05, eta: 9:14:02, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8342, decode.acc_seg: 56.5442, aux.loss_ce: 0.3504, aux.acc_seg: 55.8152, loss: 1.1845 +2022-06-18 09:44:18,174 - mmseg - INFO - Iter [8200/160000] lr: 5.844e-05, eta: 9:13:44, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7367, decode.acc_seg: 60.2953, aux.loss_ce: 0.3128, aux.acc_seg: 59.2029, loss: 1.0495 +2022-06-18 09:44:28,942 - mmseg - INFO - Iter [8250/160000] lr: 5.843e-05, eta: 9:13:29, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8043, decode.acc_seg: 57.9046, aux.loss_ce: 0.3376, aux.acc_seg: 57.3625, loss: 1.1419 +2022-06-18 09:44:39,414 - mmseg - INFO - Iter [8300/160000] lr: 5.841e-05, eta: 9:13:10, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8882, decode.acc_seg: 58.5421, aux.loss_ce: 0.3677, aux.acc_seg: 57.7458, loss: 1.2559 +2022-06-18 09:44:50,020 - mmseg - INFO - Iter [8350/160000] lr: 5.839e-05, eta: 9:12:53, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8235, decode.acc_seg: 57.4170, aux.loss_ce: 0.3432, aux.acc_seg: 56.6420, loss: 1.1667 +2022-06-18 09:45:00,765 - mmseg - INFO - Iter [8400/160000] lr: 5.837e-05, eta: 9:12:38, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8470, decode.acc_seg: 58.1105, aux.loss_ce: 0.3507, aux.acc_seg: 57.8008, loss: 1.1978 +2022-06-18 09:45:11,260 - mmseg - INFO - Iter [8450/160000] lr: 5.835e-05, eta: 9:12:20, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7773, decode.acc_seg: 59.1042, aux.loss_ce: 0.3256, aux.acc_seg: 58.4930, loss: 1.1029 +2022-06-18 09:45:21,730 - mmseg - INFO - Iter [8500/160000] lr: 5.833e-05, eta: 9:12:00, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.8484, decode.acc_seg: 57.1345, aux.loss_ce: 0.3517, aux.acc_seg: 57.0529, loss: 1.2001 +2022-06-18 09:45:32,440 - mmseg - INFO - Iter [8550/160000] lr: 5.831e-05, eta: 9:11:45, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7886, decode.acc_seg: 58.8375, aux.loss_ce: 0.3304, aux.acc_seg: 58.1921, loss: 1.1190 +2022-06-18 09:45:42,929 - mmseg - INFO - Iter [8600/160000] lr: 5.829e-05, eta: 9:11:27, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7850, decode.acc_seg: 59.2466, aux.loss_ce: 0.3267, aux.acc_seg: 58.9547, loss: 1.1117 +2022-06-18 09:45:53,701 - mmseg - INFO - Iter [8650/160000] lr: 5.827e-05, eta: 9:11:13, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8199, decode.acc_seg: 57.7348, aux.loss_ce: 0.3437, aux.acc_seg: 57.1354, loss: 1.1636 +2022-06-18 09:46:04,581 - mmseg - INFO - Iter [8700/160000] lr: 5.825e-05, eta: 9:11:01, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8220, decode.acc_seg: 58.0780, aux.loss_ce: 0.3426, aux.acc_seg: 57.4147, loss: 1.1646 +2022-06-18 09:46:15,137 - mmseg - INFO - Iter [8750/160000] lr: 5.823e-05, eta: 9:10:44, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8222, decode.acc_seg: 57.9038, aux.loss_ce: 0.3442, aux.acc_seg: 57.5094, loss: 1.1664 +2022-06-18 09:46:25,518 - mmseg - INFO - Iter [8800/160000] lr: 5.821e-05, eta: 9:10:24, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7975, decode.acc_seg: 56.9193, aux.loss_ce: 0.3338, aux.acc_seg: 56.4854, loss: 1.1313 +2022-06-18 09:46:38,396 - mmseg - INFO - Iter [8850/160000] lr: 5.819e-05, eta: 9:10:46, time: 0.258, data_time: 0.050, memory: 36051, decode.loss_ce: 0.8070, decode.acc_seg: 57.7211, aux.loss_ce: 0.3383, aux.acc_seg: 57.0123, loss: 1.1453 +2022-06-18 09:46:49,192 - mmseg - INFO - Iter [8900/160000] lr: 5.817e-05, eta: 9:10:33, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7797, decode.acc_seg: 59.0187, aux.loss_ce: 0.3274, aux.acc_seg: 58.4389, loss: 1.1071 +2022-06-18 09:46:59,651 - mmseg - INFO - Iter [8950/160000] lr: 5.816e-05, eta: 9:10:14, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7243, decode.acc_seg: 60.3191, aux.loss_ce: 0.3075, aux.acc_seg: 59.6024, loss: 1.0318 +2022-06-18 09:47:09,949 - mmseg - INFO - Saving checkpoint at 9000 iterations +2022-06-18 09:47:12,001 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:47:12,007 - mmseg - INFO - Iter [9000/160000] lr: 5.814e-05, eta: 9:10:26, time: 0.246, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7280, decode.acc_seg: 59.1049, aux.loss_ce: 0.3063, aux.acc_seg: 58.1706, loss: 1.0343 +2022-06-18 09:47:22,576 - mmseg - INFO - Iter [9050/160000] lr: 5.812e-05, eta: 9:10:10, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7887, decode.acc_seg: 58.9787, aux.loss_ce: 0.3316, aux.acc_seg: 58.2823, loss: 1.1203 +2022-06-18 09:47:33,676 - mmseg - INFO - Iter [9100/160000] lr: 5.810e-05, eta: 9:10:02, time: 0.222, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7660, decode.acc_seg: 57.5132, aux.loss_ce: 0.3223, aux.acc_seg: 56.7492, loss: 1.0883 +2022-06-18 09:47:44,081 - mmseg - INFO - Iter [9150/160000] lr: 5.808e-05, eta: 9:09:42, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7856, decode.acc_seg: 59.4469, aux.loss_ce: 0.3284, aux.acc_seg: 58.8919, loss: 1.1141 +2022-06-18 09:47:54,602 - mmseg - INFO - Iter [9200/160000] lr: 5.806e-05, eta: 9:09:24, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7913, decode.acc_seg: 58.4054, aux.loss_ce: 0.3336, aux.acc_seg: 57.7765, loss: 1.1248 +2022-06-18 09:48:05,310 - mmseg - INFO - Iter [9250/160000] lr: 5.804e-05, eta: 9:09:10, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7820, decode.acc_seg: 58.1248, aux.loss_ce: 0.3267, aux.acc_seg: 57.4653, loss: 1.1087 +2022-06-18 09:48:15,812 - mmseg - INFO - Iter [9300/160000] lr: 5.802e-05, eta: 9:08:52, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7097, decode.acc_seg: 59.5717, aux.loss_ce: 0.2991, aux.acc_seg: 59.0766, loss: 1.0089 +2022-06-18 09:48:26,567 - mmseg - INFO - Iter [9350/160000] lr: 5.800e-05, eta: 9:08:38, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7664, decode.acc_seg: 58.4889, aux.loss_ce: 0.3239, aux.acc_seg: 57.6134, loss: 1.0903 +2022-06-18 09:48:37,199 - mmseg - INFO - Iter [9400/160000] lr: 5.798e-05, eta: 9:08:23, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7789, decode.acc_seg: 57.1971, aux.loss_ce: 0.3269, aux.acc_seg: 56.7061, loss: 1.1058 +2022-06-18 09:48:47,800 - mmseg - INFO - Iter [9450/160000] lr: 5.796e-05, eta: 9:08:06, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7873, decode.acc_seg: 59.5592, aux.loss_ce: 0.3296, aux.acc_seg: 58.9369, loss: 1.1170 +2022-06-18 09:48:58,456 - mmseg - INFO - Iter [9500/160000] lr: 5.794e-05, eta: 9:07:52, time: 0.214, data_time: 0.005, memory: 36051, decode.loss_ce: 0.7815, decode.acc_seg: 58.5714, aux.loss_ce: 0.3256, aux.acc_seg: 58.1204, loss: 1.1072 +2022-06-18 09:49:09,277 - mmseg - INFO - Iter [9550/160000] lr: 5.792e-05, eta: 9:07:39, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7909, decode.acc_seg: 57.5806, aux.loss_ce: 0.3281, aux.acc_seg: 57.1737, loss: 1.1191 +2022-06-18 09:49:20,229 - mmseg - INFO - Iter [9600/160000] lr: 5.791e-05, eta: 9:07:28, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7679, decode.acc_seg: 59.4121, aux.loss_ce: 0.3219, aux.acc_seg: 58.5961, loss: 1.0898 +2022-06-18 09:49:31,203 - mmseg - INFO - Iter [9650/160000] lr: 5.789e-05, eta: 9:07:18, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7771, decode.acc_seg: 61.0124, aux.loss_ce: 0.3231, aux.acc_seg: 60.6230, loss: 1.1001 +2022-06-18 09:49:41,837 - mmseg - INFO - Iter [9700/160000] lr: 5.787e-05, eta: 9:07:03, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7935, decode.acc_seg: 58.0344, aux.loss_ce: 0.3301, aux.acc_seg: 57.7472, loss: 1.1236 +2022-06-18 09:49:52,647 - mmseg - INFO - Iter [9750/160000] lr: 5.785e-05, eta: 9:06:51, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7373, decode.acc_seg: 58.6471, aux.loss_ce: 0.3078, aux.acc_seg: 58.2705, loss: 1.0451 +2022-06-18 09:50:03,339 - mmseg - INFO - Iter [9800/160000] lr: 5.783e-05, eta: 9:06:36, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8262, decode.acc_seg: 57.7095, aux.loss_ce: 0.3466, aux.acc_seg: 56.8575, loss: 1.1729 +2022-06-18 09:50:13,956 - mmseg - INFO - Iter [9850/160000] lr: 5.781e-05, eta: 9:06:20, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7414, decode.acc_seg: 58.7604, aux.loss_ce: 0.3092, aux.acc_seg: 58.0680, loss: 1.0506 +2022-06-18 09:50:24,513 - mmseg - INFO - Iter [9900/160000] lr: 5.779e-05, eta: 9:06:04, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8078, decode.acc_seg: 58.5670, aux.loss_ce: 0.3372, aux.acc_seg: 57.9591, loss: 1.1450 +2022-06-18 09:50:35,487 - mmseg - INFO - Iter [9950/160000] lr: 5.777e-05, eta: 9:05:54, time: 0.220, data_time: 0.006, memory: 36051, decode.loss_ce: 0.7976, decode.acc_seg: 59.0910, aux.loss_ce: 0.3317, aux.acc_seg: 58.7717, loss: 1.1294 +2022-06-18 09:50:46,012 - mmseg - INFO - Saving checkpoint at 10000 iterations +2022-06-18 09:50:48,067 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:50:48,067 - mmseg - INFO - Iter [10000/160000] lr: 5.775e-05, eta: 9:06:08, time: 0.252, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7851, decode.acc_seg: 58.9175, aux.loss_ce: 0.3284, aux.acc_seg: 58.4302, loss: 1.1135 +2022-06-18 09:50:58,842 - mmseg - INFO - Iter [10050/160000] lr: 5.773e-05, eta: 9:05:55, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7601, decode.acc_seg: 58.5259, aux.loss_ce: 0.3189, aux.acc_seg: 57.8068, loss: 1.0790 +2022-06-18 09:51:09,527 - mmseg - INFO - Iter [10100/160000] lr: 5.771e-05, eta: 9:05:41, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7641, decode.acc_seg: 58.7389, aux.loss_ce: 0.3193, aux.acc_seg: 58.2826, loss: 1.0834 +2022-06-18 09:51:22,588 - mmseg - INFO - Iter [10150/160000] lr: 5.769e-05, eta: 9:06:01, time: 0.261, data_time: 0.049, memory: 36051, decode.loss_ce: 0.7497, decode.acc_seg: 60.0696, aux.loss_ce: 0.3164, aux.acc_seg: 59.3371, loss: 1.0661 +2022-06-18 09:51:33,455 - mmseg - INFO - Iter [10200/160000] lr: 5.767e-05, eta: 9:05:50, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7666, decode.acc_seg: 59.4627, aux.loss_ce: 0.3229, aux.acc_seg: 59.0891, loss: 1.0895 +2022-06-18 09:51:43,862 - mmseg - INFO - Iter [10250/160000] lr: 5.766e-05, eta: 9:05:31, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7341, decode.acc_seg: 59.0814, aux.loss_ce: 0.3088, aux.acc_seg: 58.5724, loss: 1.0429 +2022-06-18 09:51:54,956 - mmseg - INFO - Iter [10300/160000] lr: 5.764e-05, eta: 9:05:22, time: 0.222, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7744, decode.acc_seg: 58.7304, aux.loss_ce: 0.3258, aux.acc_seg: 58.1025, loss: 1.1002 +2022-06-18 09:52:05,890 - mmseg - INFO - Iter [10350/160000] lr: 5.762e-05, eta: 9:05:11, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7439, decode.acc_seg: 58.8726, aux.loss_ce: 0.3064, aux.acc_seg: 58.4639, loss: 1.0503 +2022-06-18 09:52:16,724 - mmseg - INFO - Iter [10400/160000] lr: 5.760e-05, eta: 9:04:59, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7158, decode.acc_seg: 60.7742, aux.loss_ce: 0.3019, aux.acc_seg: 59.9724, loss: 1.0177 +2022-06-18 09:52:27,340 - mmseg - INFO - Iter [10450/160000] lr: 5.758e-05, eta: 9:04:44, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7045, decode.acc_seg: 60.7728, aux.loss_ce: 0.2941, aux.acc_seg: 60.5925, loss: 0.9987 +2022-06-18 09:52:37,937 - mmseg - INFO - Iter [10500/160000] lr: 5.756e-05, eta: 9:04:28, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7421, decode.acc_seg: 60.0004, aux.loss_ce: 0.3121, aux.acc_seg: 59.3901, loss: 1.0542 +2022-06-18 09:52:48,410 - mmseg - INFO - Iter [10550/160000] lr: 5.754e-05, eta: 9:04:11, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7205, decode.acc_seg: 59.7145, aux.loss_ce: 0.3007, aux.acc_seg: 59.3939, loss: 1.0212 +2022-06-18 09:52:59,005 - mmseg - INFO - Iter [10600/160000] lr: 5.752e-05, eta: 9:03:55, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7331, decode.acc_seg: 58.9504, aux.loss_ce: 0.3077, aux.acc_seg: 58.3486, loss: 1.0408 +2022-06-18 09:53:09,799 - mmseg - INFO - Iter [10650/160000] lr: 5.750e-05, eta: 9:03:43, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7549, decode.acc_seg: 58.8760, aux.loss_ce: 0.3176, aux.acc_seg: 58.2459, loss: 1.0725 +2022-06-18 09:53:20,811 - mmseg - INFO - Iter [10700/160000] lr: 5.748e-05, eta: 9:03:33, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.8030, decode.acc_seg: 59.2297, aux.loss_ce: 0.3352, aux.acc_seg: 58.7854, loss: 1.1381 +2022-06-18 09:53:31,768 - mmseg - INFO - Iter [10750/160000] lr: 5.746e-05, eta: 9:03:22, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7423, decode.acc_seg: 60.2338, aux.loss_ce: 0.3131, aux.acc_seg: 59.6810, loss: 1.0553 +2022-06-18 09:53:42,637 - mmseg - INFO - Iter [10800/160000] lr: 5.744e-05, eta: 9:03:11, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7599, decode.acc_seg: 59.1412, aux.loss_ce: 0.3197, aux.acc_seg: 58.4913, loss: 1.0796 +2022-06-18 09:53:53,212 - mmseg - INFO - Iter [10850/160000] lr: 5.742e-05, eta: 9:02:55, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7575, decode.acc_seg: 58.8647, aux.loss_ce: 0.3173, aux.acc_seg: 58.0100, loss: 1.0748 +2022-06-18 09:54:03,882 - mmseg - INFO - Iter [10900/160000] lr: 5.740e-05, eta: 9:02:40, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7649, decode.acc_seg: 59.3974, aux.loss_ce: 0.3229, aux.acc_seg: 58.6255, loss: 1.0878 +2022-06-18 09:54:14,543 - mmseg - INFO - Iter [10950/160000] lr: 5.739e-05, eta: 9:02:26, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7378, decode.acc_seg: 59.2423, aux.loss_ce: 0.3102, aux.acc_seg: 58.4472, loss: 1.0480 +2022-06-18 09:54:25,238 - mmseg - INFO - Saving checkpoint at 11000 iterations +2022-06-18 09:54:27,408 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:54:27,408 - mmseg - INFO - Iter [11000/160000] lr: 5.737e-05, eta: 9:02:42, time: 0.257, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7721, decode.acc_seg: 58.1217, aux.loss_ce: 0.3218, aux.acc_seg: 57.4921, loss: 1.0940 +2022-06-18 09:54:38,049 - mmseg - INFO - Iter [11050/160000] lr: 5.735e-05, eta: 9:02:27, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7751, decode.acc_seg: 59.0304, aux.loss_ce: 0.3235, aux.acc_seg: 58.5454, loss: 1.0986 +2022-06-18 09:54:48,772 - mmseg - INFO - Iter [11100/160000] lr: 5.733e-05, eta: 9:02:13, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7590, decode.acc_seg: 58.8577, aux.loss_ce: 0.3151, aux.acc_seg: 58.6967, loss: 1.0741 +2022-06-18 09:54:59,276 - mmseg - INFO - Iter [11150/160000] lr: 5.731e-05, eta: 9:01:57, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7354, decode.acc_seg: 57.7356, aux.loss_ce: 0.3091, aux.acc_seg: 57.1866, loss: 1.0446 +2022-06-18 09:55:09,886 - mmseg - INFO - Iter [11200/160000] lr: 5.729e-05, eta: 9:01:42, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7541, decode.acc_seg: 58.7746, aux.loss_ce: 0.3155, aux.acc_seg: 58.2168, loss: 1.0696 +2022-06-18 09:55:20,523 - mmseg - INFO - Iter [11250/160000] lr: 5.727e-05, eta: 9:01:27, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7456, decode.acc_seg: 58.7145, aux.loss_ce: 0.3130, aux.acc_seg: 57.8968, loss: 1.0586 +2022-06-18 09:55:31,447 - mmseg - INFO - Iter [11300/160000] lr: 5.725e-05, eta: 9:01:16, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7652, decode.acc_seg: 58.4772, aux.loss_ce: 0.3200, aux.acc_seg: 57.8483, loss: 1.0852 +2022-06-18 09:55:41,946 - mmseg - INFO - Iter [11350/160000] lr: 5.723e-05, eta: 9:00:59, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6790, decode.acc_seg: 60.1749, aux.loss_ce: 0.2851, aux.acc_seg: 59.4932, loss: 0.9641 +2022-06-18 09:55:54,889 - mmseg - INFO - Iter [11400/160000] lr: 5.721e-05, eta: 9:01:15, time: 0.259, data_time: 0.049, memory: 36051, decode.loss_ce: 0.7167, decode.acc_seg: 60.1511, aux.loss_ce: 0.3038, aux.acc_seg: 59.3110, loss: 1.0205 +2022-06-18 09:56:05,375 - mmseg - INFO - Iter [11450/160000] lr: 5.719e-05, eta: 9:00:59, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6831, decode.acc_seg: 60.8199, aux.loss_ce: 0.2894, aux.acc_seg: 60.0208, loss: 0.9725 +2022-06-18 09:56:15,789 - mmseg - INFO - Iter [11500/160000] lr: 5.717e-05, eta: 9:00:41, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7278, decode.acc_seg: 58.9731, aux.loss_ce: 0.3073, aux.acc_seg: 58.1557, loss: 1.0350 +2022-06-18 09:56:26,752 - mmseg - INFO - Iter [11550/160000] lr: 5.715e-05, eta: 9:00:31, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7297, decode.acc_seg: 60.8822, aux.loss_ce: 0.3047, aux.acc_seg: 60.2953, loss: 1.0345 +2022-06-18 09:56:37,544 - mmseg - INFO - Iter [11600/160000] lr: 5.714e-05, eta: 9:00:18, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6941, decode.acc_seg: 60.5673, aux.loss_ce: 0.2915, aux.acc_seg: 59.9904, loss: 0.9856 +2022-06-18 09:56:48,412 - mmseg - INFO - Iter [11650/160000] lr: 5.712e-05, eta: 9:00:06, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7200, decode.acc_seg: 59.4144, aux.loss_ce: 0.3054, aux.acc_seg: 58.6924, loss: 1.0253 +2022-06-18 09:56:59,262 - mmseg - INFO - Iter [11700/160000] lr: 5.710e-05, eta: 8:59:54, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7407, decode.acc_seg: 58.8332, aux.loss_ce: 0.3132, aux.acc_seg: 58.0591, loss: 1.0539 +2022-06-18 09:57:10,394 - mmseg - INFO - Iter [11750/160000] lr: 5.708e-05, eta: 8:59:46, time: 0.223, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7029, decode.acc_seg: 59.9204, aux.loss_ce: 0.2949, aux.acc_seg: 59.2978, loss: 0.9978 +2022-06-18 09:57:21,151 - mmseg - INFO - Iter [11800/160000] lr: 5.706e-05, eta: 8:59:33, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7415, decode.acc_seg: 59.1576, aux.loss_ce: 0.3091, aux.acc_seg: 58.6286, loss: 1.0506 +2022-06-18 09:57:31,592 - mmseg - INFO - Iter [11850/160000] lr: 5.704e-05, eta: 8:59:16, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7299, decode.acc_seg: 61.6899, aux.loss_ce: 0.3064, aux.acc_seg: 60.9995, loss: 1.0363 +2022-06-18 09:57:42,334 - mmseg - INFO - Iter [11900/160000] lr: 5.702e-05, eta: 8:59:03, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7351, decode.acc_seg: 59.1724, aux.loss_ce: 0.3061, aux.acc_seg: 58.6765, loss: 1.0411 +2022-06-18 09:57:53,186 - mmseg - INFO - Iter [11950/160000] lr: 5.700e-05, eta: 8:58:51, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6947, decode.acc_seg: 60.3180, aux.loss_ce: 0.2896, aux.acc_seg: 59.7373, loss: 0.9843 +2022-06-18 09:58:03,964 - mmseg - INFO - Saving checkpoint at 12000 iterations +2022-06-18 09:58:06,126 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 09:58:06,127 - mmseg - INFO - Iter [12000/160000] lr: 5.698e-05, eta: 8:59:05, time: 0.259, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7094, decode.acc_seg: 60.9698, aux.loss_ce: 0.2974, aux.acc_seg: 60.2853, loss: 1.0068 +2022-06-18 09:58:16,994 - mmseg - INFO - Iter [12050/160000] lr: 5.696e-05, eta: 8:58:54, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6677, decode.acc_seg: 60.8317, aux.loss_ce: 0.2854, aux.acc_seg: 60.1445, loss: 0.9532 +2022-06-18 09:58:27,712 - mmseg - INFO - Iter [12100/160000] lr: 5.694e-05, eta: 8:58:40, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7259, decode.acc_seg: 58.7163, aux.loss_ce: 0.3037, aux.acc_seg: 57.8715, loss: 1.0296 +2022-06-18 09:58:38,182 - mmseg - INFO - Iter [12150/160000] lr: 5.692e-05, eta: 8:58:24, time: 0.210, data_time: 0.005, memory: 36051, decode.loss_ce: 0.7179, decode.acc_seg: 60.3834, aux.loss_ce: 0.3002, aux.acc_seg: 60.0280, loss: 1.0181 +2022-06-18 09:58:48,989 - mmseg - INFO - Iter [12200/160000] lr: 5.690e-05, eta: 8:58:11, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6983, decode.acc_seg: 60.1654, aux.loss_ce: 0.2938, aux.acc_seg: 59.5335, loss: 0.9920 +2022-06-18 09:58:59,764 - mmseg - INFO - Iter [12250/160000] lr: 5.689e-05, eta: 8:57:59, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7390, decode.acc_seg: 59.5343, aux.loss_ce: 0.3072, aux.acc_seg: 58.9640, loss: 1.0461 +2022-06-18 09:59:10,679 - mmseg - INFO - Iter [12300/160000] lr: 5.687e-05, eta: 8:57:47, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7755, decode.acc_seg: 57.5365, aux.loss_ce: 0.3275, aux.acc_seg: 56.5129, loss: 1.1029 +2022-06-18 09:59:21,431 - mmseg - INFO - Iter [12350/160000] lr: 5.685e-05, eta: 8:57:35, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7552, decode.acc_seg: 59.1283, aux.loss_ce: 0.3143, aux.acc_seg: 58.6960, loss: 1.0695 +2022-06-18 09:59:32,221 - mmseg - INFO - Iter [12400/160000] lr: 5.683e-05, eta: 8:57:22, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7670, decode.acc_seg: 61.1695, aux.loss_ce: 0.3203, aux.acc_seg: 60.7416, loss: 1.0873 +2022-06-18 09:59:42,546 - mmseg - INFO - Iter [12450/160000] lr: 5.681e-05, eta: 8:57:04, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7349, decode.acc_seg: 58.9773, aux.loss_ce: 0.3083, aux.acc_seg: 58.6358, loss: 1.0432 +2022-06-18 09:59:52,914 - mmseg - INFO - Iter [12500/160000] lr: 5.679e-05, eta: 8:56:47, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7459, decode.acc_seg: 57.0321, aux.loss_ce: 0.3101, aux.acc_seg: 56.5330, loss: 1.0560 +2022-06-18 10:00:03,615 - mmseg - INFO - Iter [12550/160000] lr: 5.677e-05, eta: 8:56:33, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7466, decode.acc_seg: 59.2404, aux.loss_ce: 0.3090, aux.acc_seg: 58.6630, loss: 1.0556 +2022-06-18 10:00:14,141 - mmseg - INFO - Iter [12600/160000] lr: 5.675e-05, eta: 8:56:18, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7307, decode.acc_seg: 59.5509, aux.loss_ce: 0.3086, aux.acc_seg: 58.7215, loss: 1.0393 +2022-06-18 10:00:27,445 - mmseg - INFO - Iter [12650/160000] lr: 5.673e-05, eta: 8:56:34, time: 0.266, data_time: 0.048, memory: 36051, decode.loss_ce: 0.7417, decode.acc_seg: 59.6767, aux.loss_ce: 0.3092, aux.acc_seg: 59.1115, loss: 1.0509 +2022-06-18 10:00:37,953 - mmseg - INFO - Iter [12700/160000] lr: 5.671e-05, eta: 8:56:19, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7092, decode.acc_seg: 59.8331, aux.loss_ce: 0.3023, aux.acc_seg: 59.0203, loss: 1.0114 +2022-06-18 10:00:48,658 - mmseg - INFO - Iter [12750/160000] lr: 5.669e-05, eta: 8:56:05, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6918, decode.acc_seg: 60.3268, aux.loss_ce: 0.2906, aux.acc_seg: 60.0043, loss: 0.9825 +2022-06-18 10:00:59,900 - mmseg - INFO - Iter [12800/160000] lr: 5.667e-05, eta: 8:55:58, time: 0.225, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7247, decode.acc_seg: 61.5246, aux.loss_ce: 0.3049, aux.acc_seg: 60.9554, loss: 1.0296 +2022-06-18 10:01:10,668 - mmseg - INFO - Iter [12850/160000] lr: 5.665e-05, eta: 8:55:45, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7259, decode.acc_seg: 59.6760, aux.loss_ce: 0.3033, aux.acc_seg: 59.2508, loss: 1.0292 +2022-06-18 10:01:21,301 - mmseg - INFO - Iter [12900/160000] lr: 5.663e-05, eta: 8:55:31, time: 0.212, data_time: 0.005, memory: 36051, decode.loss_ce: 0.7310, decode.acc_seg: 59.3420, aux.loss_ce: 0.3053, aux.acc_seg: 59.1222, loss: 1.0363 +2022-06-18 10:01:32,159 - mmseg - INFO - Iter [12950/160000] lr: 5.662e-05, eta: 8:55:19, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7142, decode.acc_seg: 60.3320, aux.loss_ce: 0.2989, aux.acc_seg: 59.4059, loss: 1.0130 +2022-06-18 10:01:42,926 - mmseg - INFO - Saving checkpoint at 13000 iterations +2022-06-18 10:01:44,123 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:01:44,123 - mmseg - INFO - Iter [13000/160000] lr: 5.660e-05, eta: 8:55:20, time: 0.240, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7077, decode.acc_seg: 60.0445, aux.loss_ce: 0.2955, aux.acc_seg: 59.5789, loss: 1.0032 +2022-06-18 10:01:54,983 - mmseg - INFO - Iter [13050/160000] lr: 5.658e-05, eta: 8:55:09, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7482, decode.acc_seg: 60.2749, aux.loss_ce: 0.3151, aux.acc_seg: 59.1851, loss: 1.0632 +2022-06-18 10:02:05,809 - mmseg - INFO - Iter [13100/160000] lr: 5.656e-05, eta: 8:54:57, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7540, decode.acc_seg: 59.6854, aux.loss_ce: 0.3139, aux.acc_seg: 59.1153, loss: 1.0678 +2022-06-18 10:02:16,605 - mmseg - INFO - Iter [13150/160000] lr: 5.654e-05, eta: 8:54:44, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7299, decode.acc_seg: 59.6792, aux.loss_ce: 0.3044, aux.acc_seg: 59.0677, loss: 1.0343 +2022-06-18 10:02:27,497 - mmseg - INFO - Iter [13200/160000] lr: 5.652e-05, eta: 8:54:33, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6774, decode.acc_seg: 59.3533, aux.loss_ce: 0.2837, aux.acc_seg: 58.7956, loss: 0.9611 +2022-06-18 10:02:37,964 - mmseg - INFO - Iter [13250/160000] lr: 5.650e-05, eta: 8:54:17, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6904, decode.acc_seg: 61.0228, aux.loss_ce: 0.2914, aux.acc_seg: 60.3437, loss: 0.9818 +2022-06-18 10:02:48,928 - mmseg - INFO - Iter [13300/160000] lr: 5.648e-05, eta: 8:54:07, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7165, decode.acc_seg: 59.6435, aux.loss_ce: 0.3030, aux.acc_seg: 59.0210, loss: 1.0195 +2022-06-18 10:02:59,817 - mmseg - INFO - Iter [13350/160000] lr: 5.646e-05, eta: 8:53:55, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7115, decode.acc_seg: 60.3957, aux.loss_ce: 0.2960, aux.acc_seg: 59.8582, loss: 1.0075 +2022-06-18 10:03:10,544 - mmseg - INFO - Iter [13400/160000] lr: 5.644e-05, eta: 8:53:42, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7176, decode.acc_seg: 60.5355, aux.loss_ce: 0.2994, aux.acc_seg: 59.8136, loss: 1.0170 +2022-06-18 10:03:21,485 - mmseg - INFO - Iter [13450/160000] lr: 5.642e-05, eta: 8:53:31, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7157, decode.acc_seg: 59.8047, aux.loss_ce: 0.2997, aux.acc_seg: 59.3985, loss: 1.0154 +2022-06-18 10:03:32,159 - mmseg - INFO - Iter [13500/160000] lr: 5.640e-05, eta: 8:53:18, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6594, decode.acc_seg: 60.6200, aux.loss_ce: 0.2766, aux.acc_seg: 60.0307, loss: 0.9360 +2022-06-18 10:03:42,306 - mmseg - INFO - Iter [13550/160000] lr: 5.638e-05, eta: 8:52:59, time: 0.203, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6936, decode.acc_seg: 60.5395, aux.loss_ce: 0.2896, aux.acc_seg: 60.0542, loss: 0.9832 +2022-06-18 10:03:52,818 - mmseg - INFO - Iter [13600/160000] lr: 5.637e-05, eta: 8:52:43, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6996, decode.acc_seg: 60.2135, aux.loss_ce: 0.2958, aux.acc_seg: 59.4416, loss: 0.9955 +2022-06-18 10:04:03,543 - mmseg - INFO - Iter [13650/160000] lr: 5.635e-05, eta: 8:52:30, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7263, decode.acc_seg: 59.5114, aux.loss_ce: 0.3041, aux.acc_seg: 59.0933, loss: 1.0305 +2022-06-18 10:04:14,043 - mmseg - INFO - Iter [13700/160000] lr: 5.633e-05, eta: 8:52:15, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7151, decode.acc_seg: 59.8017, aux.loss_ce: 0.2983, aux.acc_seg: 59.1977, loss: 1.0134 +2022-06-18 10:04:24,971 - mmseg - INFO - Iter [13750/160000] lr: 5.631e-05, eta: 8:52:04, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7343, decode.acc_seg: 60.4466, aux.loss_ce: 0.3079, aux.acc_seg: 59.7303, loss: 1.0421 +2022-06-18 10:04:35,572 - mmseg - INFO - Iter [13800/160000] lr: 5.629e-05, eta: 8:51:50, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7115, decode.acc_seg: 59.0341, aux.loss_ce: 0.2998, aux.acc_seg: 58.2520, loss: 1.0112 +2022-06-18 10:04:46,147 - mmseg - INFO - Iter [13850/160000] lr: 5.627e-05, eta: 8:51:36, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7334, decode.acc_seg: 60.0204, aux.loss_ce: 0.3081, aux.acc_seg: 59.5408, loss: 1.0415 +2022-06-18 10:05:01,519 - mmseg - INFO - Iter [13900/160000] lr: 5.625e-05, eta: 8:52:11, time: 0.307, data_time: 0.094, memory: 36051, decode.loss_ce: 0.7173, decode.acc_seg: 60.3842, aux.loss_ce: 0.3030, aux.acc_seg: 59.5610, loss: 1.0203 +2022-06-18 10:05:12,538 - mmseg - INFO - Iter [13950/160000] lr: 5.623e-05, eta: 8:52:01, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6917, decode.acc_seg: 59.6976, aux.loss_ce: 0.2918, aux.acc_seg: 59.1167, loss: 0.9835 +2022-06-18 10:05:23,349 - mmseg - INFO - Saving checkpoint at 14000 iterations +2022-06-18 10:05:25,369 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:05:25,370 - mmseg - INFO - Iter [14000/160000] lr: 5.621e-05, eta: 8:52:10, time: 0.257, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6720, decode.acc_seg: 60.6287, aux.loss_ce: 0.2838, aux.acc_seg: 59.8761, loss: 0.9558 +2022-06-18 10:05:35,906 - mmseg - INFO - Iter [14050/160000] lr: 5.619e-05, eta: 8:51:55, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6714, decode.acc_seg: 60.5047, aux.loss_ce: 0.2812, aux.acc_seg: 59.8303, loss: 0.9525 +2022-06-18 10:05:46,493 - mmseg - INFO - Iter [14100/160000] lr: 5.617e-05, eta: 8:51:41, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7262, decode.acc_seg: 60.2057, aux.loss_ce: 0.3044, aux.acc_seg: 59.5680, loss: 1.0306 +2022-06-18 10:05:57,194 - mmseg - INFO - Iter [14150/160000] lr: 5.615e-05, eta: 8:51:27, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6965, decode.acc_seg: 59.4487, aux.loss_ce: 0.2942, aux.acc_seg: 58.5470, loss: 0.9906 +2022-06-18 10:06:07,747 - mmseg - INFO - Iter [14200/160000] lr: 5.613e-05, eta: 8:51:13, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6697, decode.acc_seg: 62.0267, aux.loss_ce: 0.2807, aux.acc_seg: 61.6898, loss: 0.9504 +2022-06-18 10:06:18,211 - mmseg - INFO - Iter [14250/160000] lr: 5.612e-05, eta: 8:50:57, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6429, decode.acc_seg: 61.2398, aux.loss_ce: 0.2725, aux.acc_seg: 60.7504, loss: 0.9154 +2022-06-18 10:06:29,396 - mmseg - INFO - Iter [14300/160000] lr: 5.610e-05, eta: 8:50:49, time: 0.224, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6994, decode.acc_seg: 60.0868, aux.loss_ce: 0.2928, aux.acc_seg: 59.5587, loss: 0.9922 +2022-06-18 10:06:39,747 - mmseg - INFO - Iter [14350/160000] lr: 5.608e-05, eta: 8:50:32, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7059, decode.acc_seg: 61.6003, aux.loss_ce: 0.2950, aux.acc_seg: 61.0240, loss: 1.0009 +2022-06-18 10:06:50,270 - mmseg - INFO - Iter [14400/160000] lr: 5.606e-05, eta: 8:50:17, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6894, decode.acc_seg: 60.0185, aux.loss_ce: 0.2903, aux.acc_seg: 59.1832, loss: 0.9797 +2022-06-18 10:07:00,917 - mmseg - INFO - Iter [14450/160000] lr: 5.604e-05, eta: 8:50:03, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6701, decode.acc_seg: 59.9110, aux.loss_ce: 0.2808, aux.acc_seg: 59.4725, loss: 0.9509 +2022-06-18 10:07:11,812 - mmseg - INFO - Iter [14500/160000] lr: 5.602e-05, eta: 8:49:52, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7039, decode.acc_seg: 60.3513, aux.loss_ce: 0.2952, aux.acc_seg: 59.5039, loss: 0.9991 +2022-06-18 10:07:22,521 - mmseg - INFO - Iter [14550/160000] lr: 5.600e-05, eta: 8:49:39, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6834, decode.acc_seg: 60.9888, aux.loss_ce: 0.2877, aux.acc_seg: 60.1763, loss: 0.9712 +2022-06-18 10:07:33,251 - mmseg - INFO - Iter [14600/160000] lr: 5.598e-05, eta: 8:49:26, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6941, decode.acc_seg: 61.6045, aux.loss_ce: 0.2913, aux.acc_seg: 60.9794, loss: 0.9854 +2022-06-18 10:07:43,963 - mmseg - INFO - Iter [14650/160000] lr: 5.596e-05, eta: 8:49:13, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6890, decode.acc_seg: 60.9951, aux.loss_ce: 0.2870, aux.acc_seg: 60.4894, loss: 0.9759 +2022-06-18 10:07:54,523 - mmseg - INFO - Iter [14700/160000] lr: 5.594e-05, eta: 8:48:58, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6655, decode.acc_seg: 61.0397, aux.loss_ce: 0.2817, aux.acc_seg: 60.3719, loss: 0.9472 +2022-06-18 10:08:05,380 - mmseg - INFO - Iter [14750/160000] lr: 5.592e-05, eta: 8:48:47, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6766, decode.acc_seg: 60.3572, aux.loss_ce: 0.2836, aux.acc_seg: 59.7912, loss: 0.9602 +2022-06-18 10:08:15,740 - mmseg - INFO - Iter [14800/160000] lr: 5.590e-05, eta: 8:48:30, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7292, decode.acc_seg: 59.8627, aux.loss_ce: 0.3061, aux.acc_seg: 59.0991, loss: 1.0353 +2022-06-18 10:08:26,487 - mmseg - INFO - Iter [14850/160000] lr: 5.588e-05, eta: 8:48:18, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7410, decode.acc_seg: 60.3460, aux.loss_ce: 0.3065, aux.acc_seg: 60.2395, loss: 1.0475 +2022-06-18 10:08:37,049 - mmseg - INFO - Iter [14900/160000] lr: 5.586e-05, eta: 8:48:03, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6965, decode.acc_seg: 60.5248, aux.loss_ce: 0.2922, aux.acc_seg: 60.0060, loss: 0.9887 +2022-06-18 10:08:47,697 - mmseg - INFO - Iter [14950/160000] lr: 5.585e-05, eta: 8:47:50, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7070, decode.acc_seg: 59.9622, aux.loss_ce: 0.2948, aux.acc_seg: 59.4623, loss: 1.0018 +2022-06-18 10:08:58,253 - mmseg - INFO - Saving checkpoint at 15000 iterations +2022-06-18 10:09:00,300 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:09:00,300 - mmseg - INFO - Iter [15000/160000] lr: 5.583e-05, eta: 8:47:55, time: 0.252, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7245, decode.acc_seg: 61.1054, aux.loss_ce: 0.3049, aux.acc_seg: 60.5058, loss: 1.0294 +2022-06-18 10:09:10,880 - mmseg - INFO - Iter [15050/160000] lr: 5.581e-05, eta: 8:47:41, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7110, decode.acc_seg: 60.1548, aux.loss_ce: 0.2964, aux.acc_seg: 59.6477, loss: 1.0074 +2022-06-18 10:09:21,324 - mmseg - INFO - Iter [15100/160000] lr: 5.579e-05, eta: 8:47:25, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6759, decode.acc_seg: 61.2089, aux.loss_ce: 0.2830, aux.acc_seg: 60.7503, loss: 0.9589 +2022-06-18 10:09:32,050 - mmseg - INFO - Iter [15150/160000] lr: 5.577e-05, eta: 8:47:13, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6733, decode.acc_seg: 60.0875, aux.loss_ce: 0.2839, aux.acc_seg: 59.6425, loss: 0.9572 +2022-06-18 10:09:45,488 - mmseg - INFO - Iter [15200/160000] lr: 5.575e-05, eta: 8:47:25, time: 0.268, data_time: 0.052, memory: 36051, decode.loss_ce: 0.6292, decode.acc_seg: 62.8533, aux.loss_ce: 0.2688, aux.acc_seg: 61.9788, loss: 0.8980 +2022-06-18 10:09:56,374 - mmseg - INFO - Iter [15250/160000] lr: 5.573e-05, eta: 8:47:14, time: 0.219, data_time: 0.006, memory: 36051, decode.loss_ce: 0.6736, decode.acc_seg: 61.6773, aux.loss_ce: 0.2862, aux.acc_seg: 60.8002, loss: 0.9598 +2022-06-18 10:10:07,058 - mmseg - INFO - Iter [15300/160000] lr: 5.571e-05, eta: 8:47:01, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6561, decode.acc_seg: 60.6672, aux.loss_ce: 0.2810, aux.acc_seg: 60.0637, loss: 0.9371 +2022-06-18 10:10:17,942 - mmseg - INFO - Iter [15350/160000] lr: 5.569e-05, eta: 8:46:49, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6352, decode.acc_seg: 60.5050, aux.loss_ce: 0.2696, aux.acc_seg: 59.9532, loss: 0.9048 +2022-06-18 10:10:28,596 - mmseg - INFO - Iter [15400/160000] lr: 5.567e-05, eta: 8:46:36, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6500, decode.acc_seg: 61.8687, aux.loss_ce: 0.2737, aux.acc_seg: 61.1162, loss: 0.9237 +2022-06-18 10:10:39,147 - mmseg - INFO - Iter [15450/160000] lr: 5.565e-05, eta: 8:46:22, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6971, decode.acc_seg: 60.6478, aux.loss_ce: 0.2933, aux.acc_seg: 60.0741, loss: 0.9904 +2022-06-18 10:10:49,723 - mmseg - INFO - Iter [15500/160000] lr: 5.563e-05, eta: 8:46:08, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6943, decode.acc_seg: 59.4029, aux.loss_ce: 0.2913, aux.acc_seg: 58.7828, loss: 0.9856 +2022-06-18 10:11:00,281 - mmseg - INFO - Iter [15550/160000] lr: 5.561e-05, eta: 8:45:53, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6515, decode.acc_seg: 62.1029, aux.loss_ce: 0.2748, aux.acc_seg: 61.2317, loss: 0.9263 +2022-06-18 10:11:10,917 - mmseg - INFO - Iter [15600/160000] lr: 5.560e-05, eta: 8:45:40, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6905, decode.acc_seg: 60.9676, aux.loss_ce: 0.2917, aux.acc_seg: 60.4339, loss: 0.9822 +2022-06-18 10:11:21,823 - mmseg - INFO - Iter [15650/160000] lr: 5.558e-05, eta: 8:45:29, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6893, decode.acc_seg: 61.1031, aux.loss_ce: 0.2913, aux.acc_seg: 60.4682, loss: 0.9806 +2022-06-18 10:11:32,133 - mmseg - INFO - Iter [15700/160000] lr: 5.556e-05, eta: 8:45:12, time: 0.206, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6537, decode.acc_seg: 60.4869, aux.loss_ce: 0.2760, aux.acc_seg: 59.8953, loss: 0.9297 +2022-06-18 10:11:42,616 - mmseg - INFO - Iter [15750/160000] lr: 5.554e-05, eta: 8:44:57, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6528, decode.acc_seg: 59.5469, aux.loss_ce: 0.2752, aux.acc_seg: 58.9005, loss: 0.9280 +2022-06-18 10:11:53,331 - mmseg - INFO - Iter [15800/160000] lr: 5.552e-05, eta: 8:44:45, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6583, decode.acc_seg: 61.2433, aux.loss_ce: 0.2757, aux.acc_seg: 60.5471, loss: 0.9339 +2022-06-18 10:12:03,928 - mmseg - INFO - Iter [15850/160000] lr: 5.550e-05, eta: 8:44:31, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6509, decode.acc_seg: 59.5501, aux.loss_ce: 0.2691, aux.acc_seg: 59.5583, loss: 0.9199 +2022-06-18 10:12:14,320 - mmseg - INFO - Iter [15900/160000] lr: 5.548e-05, eta: 8:44:15, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6899, decode.acc_seg: 61.3509, aux.loss_ce: 0.2886, aux.acc_seg: 60.8377, loss: 0.9785 +2022-06-18 10:12:25,008 - mmseg - INFO - Iter [15950/160000] lr: 5.546e-05, eta: 8:44:02, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7594, decode.acc_seg: 60.5202, aux.loss_ce: 0.3157, aux.acc_seg: 60.0391, loss: 1.0750 +2022-06-18 10:12:35,696 - mmseg - INFO - Saving checkpoint at 16000 iterations +2022-06-18 10:12:37,791 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:12:37,791 - mmseg - INFO - Iter [16000/160000] lr: 5.544e-05, eta: 8:44:08, time: 0.256, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6670, decode.acc_seg: 61.2971, aux.loss_ce: 0.2827, aux.acc_seg: 60.6917, loss: 0.9498 +2022-06-18 10:13:32,126 - mmseg - INFO - per class results: +2022-06-18 10:13:32,133 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 70.49 | 84.64 | +| building | 79.67 | 90.13 | +| sky | 93.41 | 96.91 | +| floor | 74.3 | 88.29 | +| tree | 67.26 | 88.16 | +| ceiling | 77.76 | 88.26 | +| road | 78.16 | 86.87 | +| bed | 77.2 | 94.88 | +| windowpane | 54.35 | 73.2 | +| grass | 66.42 | 87.51 | +| cabinet | 49.37 | 62.55 | +| sidewalk | 56.98 | 72.74 | +| person | 70.51 | 91.44 | +| earth | 29.2 | 38.06 | +| door | 31.02 | 44.43 | +| table | 40.55 | 56.47 | +| mountain | 47.52 | 71.88 | +| plant | 37.19 | 43.95 | +| curtain | 64.2 | 79.39 | +| chair | 41.35 | 58.39 | +| car | 74.16 | 92.05 | +| water | 38.95 | 47.13 | +| painting | 62.39 | 79.37 | +| sofa | 52.11 | 71.11 | +| shelf | 31.82 | 54.14 | +| house | 48.18 | 67.88 | +| sea | 45.19 | 72.34 | +| mirror | 33.46 | 36.88 | +| rug | 43.01 | 47.09 | +| field | 22.89 | 40.38 | +| armchair | 24.93 | 38.93 | +| seat | 49.86 | 57.93 | +| fence | 31.63 | 56.65 | +| desk | 27.31 | 49.68 | +| rock | 29.7 | 45.98 | +| wardrobe | 38.99 | 62.66 | +| lamp | 39.74 | 50.33 | +| bathtub | 56.25 | 70.49 | +| railing | 26.71 | 33.78 | +| cushion | 37.45 | 47.47 | +| base | 11.55 | 14.64 | +| box | 12.41 | 16.58 | +| column | 31.39 | 43.96 | +| signboard | 28.24 | 36.53 | +| chest of drawers | 28.75 | 58.54 | +| counter | 33.27 | 41.53 | +| sand | 36.9 | 47.45 | +| sink | 44.17 | 50.95 | +| skyscraper | 59.09 | 73.97 | +| fireplace | 46.91 | 79.34 | +| refrigerator | 46.06 | 72.02 | +| grandstand | 39.84 | 64.35 | +| path | 16.17 | 22.28 | +| stairs | 13.94 | 15.74 | +| runway | 61.58 | 76.0 | +| case | 32.9 | 36.78 | +| pool table | 86.99 | 93.92 | +| pillow | 40.05 | 48.74 | +| screen door | 47.77 | 59.6 | +| stairway | 15.99 | 22.99 | +| river | 17.27 | 35.21 | +| bridge | 28.22 | 42.34 | +| bookcase | 31.44 | 49.76 | +| blind | 26.34 | 31.35 | +| coffee table | 42.3 | 65.5 | +| toilet | 64.74 | 86.55 | +| flower | 22.08 | 26.58 | +| book | 44.35 | 60.79 | +| hill | 6.52 | 10.35 | +| bench | 35.38 | 41.81 | +| countertop | 46.67 | 61.77 | +| stove | 45.99 | 61.34 | +| palm | 43.63 | 52.74 | +| kitchen island | 17.68 | 29.19 | +| computer | 44.44 | 64.18 | +| swivel chair | 28.21 | 43.81 | +| boat | 56.42 | 60.76 | +| bar | 30.11 | 38.39 | +| arcade machine | 23.62 | 23.92 | +| hovel | 40.36 | 71.86 | +| bus | 68.12 | 77.78 | +| towel | 37.82 | 45.17 | +| light | 20.57 | 21.26 | +| truck | 0.02 | 0.03 | +| tower | 13.61 | 16.89 | +| chandelier | 51.06 | 73.57 | +| awning | 20.13 | 23.26 | +| streetlight | 5.95 | 6.86 | +| booth | 47.37 | 58.77 | +| television receiver | 47.71 | 60.91 | +| airplane | 46.33 | 64.18 | +| dirt track | 4.83 | 5.06 | +| apparel | 28.38 | 40.38 | +| pole | 18.34 | 30.85 | +| land | 0.47 | 0.49 | +| bannister | 0.03 | 0.03 | +| escalator | 7.59 | 7.7 | +| ottoman | 10.64 | 13.5 | +| bottle | 7.39 | 9.65 | +| buffet | 29.34 | 38.91 | +| poster | 0.99 | 1.12 | +| stage | 6.23 | 11.44 | +| van | 18.75 | 21.93 | +| ship | 6.37 | 7.05 | +| fountain | 13.25 | 15.0 | +| conveyer belt | 39.91 | 69.21 | +| canopy | 26.32 | 34.25 | +| washer | 45.44 | 65.45 | +| plaything | 4.86 | 9.04 | +| swimming pool | 36.34 | 70.76 | +| stool | 1.92 | 1.97 | +| barrel | 5.23 | 29.63 | +| basket | 12.95 | 16.22 | +| waterfall | 67.81 | 94.34 | +| tent | 75.68 | 99.59 | +| bag | 0.51 | 0.52 | +| minibike | 39.63 | 53.89 | +| cradle | 53.13 | 71.72 | +| oven | 4.59 | 5.11 | +| ball | 37.39 | 47.3 | +| food | 54.6 | 70.25 | +| step | 1.13 | 1.16 | +| tank | 25.92 | 29.49 | +| trade name | 19.42 | 21.6 | +| microwave | 22.77 | 24.19 | +| pot | 18.61 | 19.63 | +| animal | 53.04 | 57.88 | +| bicycle | 41.66 | 51.22 | +| lake | 0.8 | 1.21 | +| dishwasher | 23.17 | 28.39 | +| screen | 62.4 | 88.33 | +| blanket | 0.0 | 0.0 | +| sculpture | 28.19 | 37.37 | +| hood | 25.22 | 28.91 | +| sconce | 16.85 | 18.46 | +| vase | 17.3 | 23.55 | +| traffic light | 5.75 | 6.08 | +| tray | 1.61 | 1.77 | +| ashcan | 17.06 | 21.31 | +| fan | 34.69 | 47.81 | +| pier | 42.59 | 43.78 | +| crt screen | 0.0 | 0.0 | +| plate | 30.1 | 32.68 | +| monitor | 4.89 | 5.19 | +| bulletin board | 14.98 | 16.27 | +| shower | 0.0 | 0.0 | +| radiator | 29.18 | 30.78 | +| glass | 0.0 | 0.0 | +| clock | 4.66 | 4.96 | +| flag | 17.4 | 18.36 | ++---------------------+-------+-------+ +2022-06-18 10:13:32,133 - mmseg - INFO - Summary: +2022-06-18 10:13:32,133 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 77.11 | 33.52 | 44.04 | ++-------+-------+-------+ +2022-06-18 10:13:34,015 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2022-06-18 10:13:34,015 - mmseg - INFO - Best mIoU is 0.3352 at 16000 iter. +2022-06-18 10:13:34,026 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:13:34,027 - mmseg - INFO - Iter(val) [250] aAcc: 0.7711, mIoU: 0.3352, mAcc: 0.4404, IoU.wall: 0.7049, IoU.building: 0.7967, IoU.sky: 0.9341, IoU.floor: 0.7430, IoU.tree: 0.6726, IoU.ceiling: 0.7776, IoU.road: 0.7816, IoU.bed : 0.7720, IoU.windowpane: 0.5435, IoU.grass: 0.6642, IoU.cabinet: 0.4937, IoU.sidewalk: 0.5698, IoU.person: 0.7051, IoU.earth: 0.2920, IoU.door: 0.3102, IoU.table: 0.4055, IoU.mountain: 0.4752, IoU.plant: 0.3719, IoU.curtain: 0.6420, IoU.chair: 0.4135, IoU.car: 0.7416, IoU.water: 0.3895, IoU.painting: 0.6239, IoU.sofa: 0.5211, IoU.shelf: 0.3182, IoU.house: 0.4818, IoU.sea: 0.4519, IoU.mirror: 0.3346, IoU.rug: 0.4301, IoU.field: 0.2289, IoU.armchair: 0.2493, IoU.seat: 0.4986, IoU.fence: 0.3163, IoU.desk: 0.2731, IoU.rock: 0.2970, IoU.wardrobe: 0.3899, IoU.lamp: 0.3974, IoU.bathtub: 0.5625, IoU.railing: 0.2671, IoU.cushion: 0.3745, IoU.base: 0.1155, IoU.box: 0.1241, IoU.column: 0.3139, IoU.signboard: 0.2824, IoU.chest of drawers: 0.2875, IoU.counter: 0.3327, IoU.sand: 0.3690, IoU.sink: 0.4417, IoU.skyscraper: 0.5909, IoU.fireplace: 0.4691, IoU.refrigerator: 0.4606, IoU.grandstand: 0.3984, IoU.path: 0.1617, IoU.stairs: 0.1394, IoU.runway: 0.6158, IoU.case: 0.3290, IoU.pool table: 0.8699, IoU.pillow: 0.4005, IoU.screen door: 0.4777, IoU.stairway: 0.1599, IoU.river: 0.1727, IoU.bridge: 0.2822, IoU.bookcase: 0.3144, IoU.blind: 0.2634, IoU.coffee table: 0.4230, IoU.toilet: 0.6474, IoU.flower: 0.2208, IoU.book: 0.4435, IoU.hill: 0.0652, IoU.bench: 0.3538, IoU.countertop: 0.4667, IoU.stove: 0.4599, IoU.palm: 0.4363, IoU.kitchen island: 0.1768, IoU.computer: 0.4444, IoU.swivel chair: 0.2821, IoU.boat: 0.5642, IoU.bar: 0.3011, IoU.arcade machine: 0.2362, IoU.hovel: 0.4036, IoU.bus: 0.6812, IoU.towel: 0.3782, IoU.light: 0.2057, IoU.truck: 0.0002, IoU.tower: 0.1361, IoU.chandelier: 0.5106, IoU.awning: 0.2013, IoU.streetlight: 0.0595, IoU.booth: 0.4737, IoU.television receiver: 0.4771, IoU.airplane: 0.4633, IoU.dirt track: 0.0483, IoU.apparel: 0.2838, IoU.pole: 0.1834, IoU.land: 0.0047, IoU.bannister: 0.0003, IoU.escalator: 0.0759, IoU.ottoman: 0.1064, IoU.bottle: 0.0739, IoU.buffet: 0.2934, IoU.poster: 0.0099, IoU.stage: 0.0623, IoU.van: 0.1875, IoU.ship: 0.0637, IoU.fountain: 0.1325, IoU.conveyer belt: 0.3991, IoU.canopy: 0.2632, IoU.washer: 0.4544, IoU.plaything: 0.0486, IoU.swimming pool: 0.3634, IoU.stool: 0.0192, IoU.barrel: 0.0523, IoU.basket: 0.1295, IoU.waterfall: 0.6781, IoU.tent: 0.7568, IoU.bag: 0.0051, IoU.minibike: 0.3963, IoU.cradle: 0.5313, IoU.oven: 0.0459, IoU.ball: 0.3739, IoU.food: 0.5460, IoU.step: 0.0113, IoU.tank: 0.2592, IoU.trade name: 0.1942, IoU.microwave: 0.2277, IoU.pot: 0.1861, IoU.animal: 0.5304, IoU.bicycle: 0.4166, IoU.lake: 0.0080, IoU.dishwasher: 0.2317, IoU.screen: 0.6240, IoU.blanket: 0.0000, IoU.sculpture: 0.2819, IoU.hood: 0.2522, IoU.sconce: 0.1685, IoU.vase: 0.1730, IoU.traffic light: 0.0575, IoU.tray: 0.0161, IoU.ashcan: 0.1706, IoU.fan: 0.3469, IoU.pier: 0.4259, IoU.crt screen: 0.0000, IoU.plate: 0.3010, IoU.monitor: 0.0489, IoU.bulletin board: 0.1498, IoU.shower: 0.0000, IoU.radiator: 0.2918, IoU.glass: 0.0000, IoU.clock: 0.0466, IoU.flag: 0.1740, Acc.wall: 0.8464, Acc.building: 0.9013, Acc.sky: 0.9691, Acc.floor: 0.8829, Acc.tree: 0.8816, Acc.ceiling: 0.8826, Acc.road: 0.8687, Acc.bed : 0.9488, Acc.windowpane: 0.7320, Acc.grass: 0.8751, Acc.cabinet: 0.6255, Acc.sidewalk: 0.7274, Acc.person: 0.9144, Acc.earth: 0.3806, Acc.door: 0.4443, Acc.table: 0.5647, Acc.mountain: 0.7188, Acc.plant: 0.4395, Acc.curtain: 0.7939, Acc.chair: 0.5839, Acc.car: 0.9205, Acc.water: 0.4713, Acc.painting: 0.7937, Acc.sofa: 0.7111, Acc.shelf: 0.5414, Acc.house: 0.6788, Acc.sea: 0.7234, Acc.mirror: 0.3688, Acc.rug: 0.4709, Acc.field: 0.4038, Acc.armchair: 0.3893, Acc.seat: 0.5793, Acc.fence: 0.5665, Acc.desk: 0.4968, Acc.rock: 0.4598, Acc.wardrobe: 0.6266, Acc.lamp: 0.5033, Acc.bathtub: 0.7049, Acc.railing: 0.3378, Acc.cushion: 0.4747, Acc.base: 0.1464, Acc.box: 0.1658, Acc.column: 0.4396, Acc.signboard: 0.3653, Acc.chest of drawers: 0.5854, Acc.counter: 0.4153, Acc.sand: 0.4745, Acc.sink: 0.5095, Acc.skyscraper: 0.7397, Acc.fireplace: 0.7934, Acc.refrigerator: 0.7202, Acc.grandstand: 0.6435, Acc.path: 0.2228, Acc.stairs: 0.1574, Acc.runway: 0.7600, Acc.case: 0.3678, Acc.pool table: 0.9392, Acc.pillow: 0.4874, Acc.screen door: 0.5960, Acc.stairway: 0.2299, Acc.river: 0.3521, Acc.bridge: 0.4234, Acc.bookcase: 0.4976, Acc.blind: 0.3135, Acc.coffee table: 0.6550, Acc.toilet: 0.8655, Acc.flower: 0.2658, Acc.book: 0.6079, Acc.hill: 0.1035, Acc.bench: 0.4181, Acc.countertop: 0.6177, Acc.stove: 0.6134, Acc.palm: 0.5274, Acc.kitchen island: 0.2919, Acc.computer: 0.6418, Acc.swivel chair: 0.4381, Acc.boat: 0.6076, Acc.bar: 0.3839, Acc.arcade machine: 0.2392, Acc.hovel: 0.7186, Acc.bus: 0.7778, Acc.towel: 0.4517, Acc.light: 0.2126, Acc.truck: 0.0003, Acc.tower: 0.1689, Acc.chandelier: 0.7357, Acc.awning: 0.2326, Acc.streetlight: 0.0686, Acc.booth: 0.5877, Acc.television receiver: 0.6091, Acc.airplane: 0.6418, Acc.dirt track: 0.0506, Acc.apparel: 0.4038, Acc.pole: 0.3085, Acc.land: 0.0049, Acc.bannister: 0.0003, Acc.escalator: 0.0770, Acc.ottoman: 0.1350, Acc.bottle: 0.0965, Acc.buffet: 0.3891, Acc.poster: 0.0112, Acc.stage: 0.1144, Acc.van: 0.2193, Acc.ship: 0.0705, Acc.fountain: 0.1500, Acc.conveyer belt: 0.6921, Acc.canopy: 0.3425, Acc.washer: 0.6545, Acc.plaything: 0.0904, Acc.swimming pool: 0.7076, Acc.stool: 0.0197, Acc.barrel: 0.2963, Acc.basket: 0.1622, Acc.waterfall: 0.9434, Acc.tent: 0.9959, Acc.bag: 0.0052, Acc.minibike: 0.5389, Acc.cradle: 0.7172, Acc.oven: 0.0511, Acc.ball: 0.4730, Acc.food: 0.7025, Acc.step: 0.0116, Acc.tank: 0.2949, Acc.trade name: 0.2160, Acc.microwave: 0.2419, Acc.pot: 0.1963, Acc.animal: 0.5788, Acc.bicycle: 0.5122, Acc.lake: 0.0121, Acc.dishwasher: 0.2839, Acc.screen: 0.8833, Acc.blanket: 0.0000, Acc.sculpture: 0.3737, Acc.hood: 0.2891, Acc.sconce: 0.1846, Acc.vase: 0.2355, Acc.traffic light: 0.0608, Acc.tray: 0.0177, Acc.ashcan: 0.2131, Acc.fan: 0.4781, Acc.pier: 0.4378, Acc.crt screen: 0.0000, Acc.plate: 0.3268, Acc.monitor: 0.0519, Acc.bulletin board: 0.1627, Acc.shower: 0.0000, Acc.radiator: 0.3078, Acc.glass: 0.0000, Acc.clock: 0.0496, Acc.flag: 0.1836 +2022-06-18 10:13:45,131 - mmseg - INFO - Iter [16050/160000] lr: 5.542e-05, eta: 8:52:23, time: 1.346, data_time: 1.128, memory: 36051, decode.loss_ce: 0.6713, decode.acc_seg: 60.6374, aux.loss_ce: 0.2828, aux.acc_seg: 60.2924, loss: 0.9541 +2022-06-18 10:13:55,669 - mmseg - INFO - Iter [16100/160000] lr: 5.540e-05, eta: 8:52:07, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7002, decode.acc_seg: 60.1333, aux.loss_ce: 0.2929, aux.acc_seg: 59.6603, loss: 0.9931 +2022-06-18 10:14:06,555 - mmseg - INFO - Iter [16150/160000] lr: 5.538e-05, eta: 8:51:54, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6894, decode.acc_seg: 61.0761, aux.loss_ce: 0.2893, aux.acc_seg: 60.3321, loss: 0.9787 +2022-06-18 10:14:17,455 - mmseg - INFO - Iter [16200/160000] lr: 5.536e-05, eta: 8:51:41, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6975, decode.acc_seg: 60.9749, aux.loss_ce: 0.2911, aux.acc_seg: 60.3718, loss: 0.9886 +2022-06-18 10:14:27,870 - mmseg - INFO - Iter [16250/160000] lr: 5.535e-05, eta: 8:51:24, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6580, decode.acc_seg: 60.9738, aux.loss_ce: 0.2770, aux.acc_seg: 60.3908, loss: 0.9350 +2022-06-18 10:14:38,469 - mmseg - INFO - Iter [16300/160000] lr: 5.533e-05, eta: 8:51:09, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.7082, decode.acc_seg: 61.8019, aux.loss_ce: 0.2948, aux.acc_seg: 61.3828, loss: 1.0030 +2022-06-18 10:14:49,063 - mmseg - INFO - Iter [16350/160000] lr: 5.531e-05, eta: 8:50:53, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6979, decode.acc_seg: 60.2740, aux.loss_ce: 0.2929, aux.acc_seg: 59.6461, loss: 0.9908 +2022-06-18 10:14:59,880 - mmseg - INFO - Iter [16400/160000] lr: 5.529e-05, eta: 8:50:40, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6999, decode.acc_seg: 61.6976, aux.loss_ce: 0.2925, aux.acc_seg: 61.2071, loss: 0.9924 +2022-06-18 10:15:12,700 - mmseg - INFO - Iter [16450/160000] lr: 5.527e-05, eta: 8:50:44, time: 0.256, data_time: 0.049, memory: 36051, decode.loss_ce: 0.6762, decode.acc_seg: 62.0613, aux.loss_ce: 0.2855, aux.acc_seg: 61.2539, loss: 0.9617 +2022-06-18 10:15:23,566 - mmseg - INFO - Iter [16500/160000] lr: 5.525e-05, eta: 8:50:31, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6796, decode.acc_seg: 60.5445, aux.loss_ce: 0.2866, aux.acc_seg: 60.2136, loss: 0.9662 +2022-06-18 10:15:34,350 - mmseg - INFO - Iter [16550/160000] lr: 5.523e-05, eta: 8:50:17, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6779, decode.acc_seg: 60.8172, aux.loss_ce: 0.2860, aux.acc_seg: 60.2390, loss: 0.9640 +2022-06-18 10:15:44,802 - mmseg - INFO - Iter [16600/160000] lr: 5.521e-05, eta: 8:50:00, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6733, decode.acc_seg: 60.4997, aux.loss_ce: 0.2852, aux.acc_seg: 59.5407, loss: 0.9585 +2022-06-18 10:15:55,549 - mmseg - INFO - Iter [16650/160000] lr: 5.519e-05, eta: 8:49:46, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6691, decode.acc_seg: 61.2886, aux.loss_ce: 0.2814, aux.acc_seg: 60.6752, loss: 0.9505 +2022-06-18 10:16:06,151 - mmseg - INFO - Iter [16700/160000] lr: 5.517e-05, eta: 8:49:31, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6499, decode.acc_seg: 59.9224, aux.loss_ce: 0.2750, aux.acc_seg: 59.0168, loss: 0.9249 +2022-06-18 10:16:16,797 - mmseg - INFO - Iter [16750/160000] lr: 5.515e-05, eta: 8:49:16, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6227, decode.acc_seg: 62.4900, aux.loss_ce: 0.2629, aux.acc_seg: 62.1214, loss: 0.8855 +2022-06-18 10:16:27,371 - mmseg - INFO - Iter [16800/160000] lr: 5.513e-05, eta: 8:49:01, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6665, decode.acc_seg: 61.5913, aux.loss_ce: 0.2825, aux.acc_seg: 60.9839, loss: 0.9490 +2022-06-18 10:16:38,019 - mmseg - INFO - Iter [16850/160000] lr: 5.511e-05, eta: 8:48:46, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6521, decode.acc_seg: 60.1338, aux.loss_ce: 0.2735, aux.acc_seg: 59.7732, loss: 0.9256 +2022-06-18 10:16:48,461 - mmseg - INFO - Iter [16900/160000] lr: 5.509e-05, eta: 8:48:30, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6485, decode.acc_seg: 62.3898, aux.loss_ce: 0.2747, aux.acc_seg: 61.7552, loss: 0.9232 +2022-06-18 10:16:59,117 - mmseg - INFO - Iter [16950/160000] lr: 5.508e-05, eta: 8:48:15, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6738, decode.acc_seg: 60.4624, aux.loss_ce: 0.2843, aux.acc_seg: 59.7505, loss: 0.9581 +2022-06-18 10:17:10,312 - mmseg - INFO - Saving checkpoint at 17000 iterations +2022-06-18 10:17:12,393 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:17:12,393 - mmseg - INFO - Iter [17000/160000] lr: 5.506e-05, eta: 8:48:22, time: 0.265, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6852, decode.acc_seg: 60.7160, aux.loss_ce: 0.2912, aux.acc_seg: 60.1706, loss: 0.9764 +2022-06-18 10:17:23,119 - mmseg - INFO - Iter [17050/160000] lr: 5.504e-05, eta: 8:48:08, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6210, decode.acc_seg: 62.2575, aux.loss_ce: 0.2646, aux.acc_seg: 61.6148, loss: 0.8856 +2022-06-18 10:17:33,835 - mmseg - INFO - Iter [17100/160000] lr: 5.502e-05, eta: 8:47:54, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6861, decode.acc_seg: 61.4867, aux.loss_ce: 0.2879, aux.acc_seg: 60.6922, loss: 0.9740 +2022-06-18 10:17:44,590 - mmseg - INFO - Iter [17150/160000] lr: 5.500e-05, eta: 8:47:40, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6437, decode.acc_seg: 62.4488, aux.loss_ce: 0.2715, aux.acc_seg: 61.5612, loss: 0.9153 +2022-06-18 10:17:55,030 - mmseg - INFO - Iter [17200/160000] lr: 5.498e-05, eta: 8:47:24, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6378, decode.acc_seg: 61.6498, aux.loss_ce: 0.2693, aux.acc_seg: 60.8654, loss: 0.9071 +2022-06-18 10:18:05,500 - mmseg - INFO - Iter [17250/160000] lr: 5.496e-05, eta: 8:47:08, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.7180, decode.acc_seg: 60.0495, aux.loss_ce: 0.3021, aux.acc_seg: 59.4499, loss: 1.0201 +2022-06-18 10:18:15,786 - mmseg - INFO - Iter [17300/160000] lr: 5.494e-05, eta: 8:46:50, time: 0.206, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6617, decode.acc_seg: 61.0319, aux.loss_ce: 0.2816, aux.acc_seg: 60.0319, loss: 0.9434 +2022-06-18 10:18:26,162 - mmseg - INFO - Iter [17350/160000] lr: 5.492e-05, eta: 8:46:33, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6653, decode.acc_seg: 60.6874, aux.loss_ce: 0.2794, aux.acc_seg: 60.0545, loss: 0.9448 +2022-06-18 10:18:36,791 - mmseg - INFO - Iter [17400/160000] lr: 5.490e-05, eta: 8:46:19, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6281, decode.acc_seg: 61.9493, aux.loss_ce: 0.2650, aux.acc_seg: 61.4638, loss: 0.8931 +2022-06-18 10:18:47,385 - mmseg - INFO - Iter [17450/160000] lr: 5.488e-05, eta: 8:46:04, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6428, decode.acc_seg: 60.5574, aux.loss_ce: 0.2722, aux.acc_seg: 59.9817, loss: 0.9151 +2022-06-18 10:18:57,796 - mmseg - INFO - Iter [17500/160000] lr: 5.486e-05, eta: 8:45:47, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6708, decode.acc_seg: 60.6374, aux.loss_ce: 0.2839, aux.acc_seg: 60.0486, loss: 0.9547 +2022-06-18 10:19:08,362 - mmseg - INFO - Iter [17550/160000] lr: 5.484e-05, eta: 8:45:32, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6380, decode.acc_seg: 61.2190, aux.loss_ce: 0.2719, aux.acc_seg: 60.6396, loss: 0.9099 +2022-06-18 10:19:18,939 - mmseg - INFO - Iter [17600/160000] lr: 5.483e-05, eta: 8:45:17, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6429, decode.acc_seg: 61.1882, aux.loss_ce: 0.2729, aux.acc_seg: 60.5453, loss: 0.9158 +2022-06-18 10:19:29,634 - mmseg - INFO - Iter [17650/160000] lr: 5.481e-05, eta: 8:45:03, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6898, decode.acc_seg: 62.4856, aux.loss_ce: 0.2897, aux.acc_seg: 61.6423, loss: 0.9795 +2022-06-18 10:19:42,604 - mmseg - INFO - Iter [17700/160000] lr: 5.479e-05, eta: 8:45:07, time: 0.260, data_time: 0.049, memory: 36051, decode.loss_ce: 0.6311, decode.acc_seg: 61.2006, aux.loss_ce: 0.2679, aux.acc_seg: 60.3518, loss: 0.8990 +2022-06-18 10:19:53,590 - mmseg - INFO - Iter [17750/160000] lr: 5.477e-05, eta: 8:44:55, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6464, decode.acc_seg: 60.3098, aux.loss_ce: 0.2719, aux.acc_seg: 59.4255, loss: 0.9184 +2022-06-18 10:20:04,125 - mmseg - INFO - Iter [17800/160000] lr: 5.475e-05, eta: 8:44:40, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6391, decode.acc_seg: 63.2747, aux.loss_ce: 0.2674, aux.acc_seg: 62.5292, loss: 0.9065 +2022-06-18 10:20:14,510 - mmseg - INFO - Iter [17850/160000] lr: 5.473e-05, eta: 8:44:24, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6376, decode.acc_seg: 60.5922, aux.loss_ce: 0.2695, aux.acc_seg: 59.9776, loss: 0.9071 +2022-06-18 10:20:25,214 - mmseg - INFO - Iter [17900/160000] lr: 5.471e-05, eta: 8:44:09, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6372, decode.acc_seg: 61.7842, aux.loss_ce: 0.2682, aux.acc_seg: 61.0663, loss: 0.9054 +2022-06-18 10:20:36,104 - mmseg - INFO - Iter [17950/160000] lr: 5.469e-05, eta: 8:43:57, time: 0.219, data_time: 0.006, memory: 36051, decode.loss_ce: 0.6553, decode.acc_seg: 62.8222, aux.loss_ce: 0.2751, aux.acc_seg: 62.2864, loss: 0.9304 +2022-06-18 10:20:46,643 - mmseg - INFO - Saving checkpoint at 18000 iterations +2022-06-18 10:20:48,726 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:20:48,726 - mmseg - INFO - Iter [18000/160000] lr: 5.467e-05, eta: 8:43:58, time: 0.253, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6643, decode.acc_seg: 62.0101, aux.loss_ce: 0.2840, aux.acc_seg: 61.1258, loss: 0.9483 +2022-06-18 10:20:59,307 - mmseg - INFO - Iter [18050/160000] lr: 5.465e-05, eta: 8:43:43, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6860, decode.acc_seg: 61.0382, aux.loss_ce: 0.2857, aux.acc_seg: 60.4786, loss: 0.9718 +2022-06-18 10:21:09,903 - mmseg - INFO - Iter [18100/160000] lr: 5.463e-05, eta: 8:43:29, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5886, decode.acc_seg: 63.7337, aux.loss_ce: 0.2494, aux.acc_seg: 63.0704, loss: 0.8380 +2022-06-18 10:21:21,126 - mmseg - INFO - Iter [18150/160000] lr: 5.461e-05, eta: 8:43:19, time: 0.224, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6256, decode.acc_seg: 59.8442, aux.loss_ce: 0.2643, aux.acc_seg: 59.2665, loss: 0.8899 +2022-06-18 10:21:32,056 - mmseg - INFO - Iter [18200/160000] lr: 5.459e-05, eta: 8:43:07, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6523, decode.acc_seg: 61.1117, aux.loss_ce: 0.2758, aux.acc_seg: 60.3187, loss: 0.9282 +2022-06-18 10:21:43,174 - mmseg - INFO - Iter [18250/160000] lr: 5.458e-05, eta: 8:42:56, time: 0.222, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6398, decode.acc_seg: 62.0164, aux.loss_ce: 0.2671, aux.acc_seg: 61.4662, loss: 0.9069 +2022-06-18 10:21:53,724 - mmseg - INFO - Iter [18300/160000] lr: 5.456e-05, eta: 8:42:40, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6600, decode.acc_seg: 62.6202, aux.loss_ce: 0.2792, aux.acc_seg: 61.7872, loss: 0.9392 +2022-06-18 10:22:04,521 - mmseg - INFO - Iter [18350/160000] lr: 5.454e-05, eta: 8:42:27, time: 0.216, data_time: 0.006, memory: 36051, decode.loss_ce: 0.6673, decode.acc_seg: 60.8128, aux.loss_ce: 0.2809, aux.acc_seg: 60.3487, loss: 0.9482 +2022-06-18 10:22:14,881 - mmseg - INFO - Iter [18400/160000] lr: 5.452e-05, eta: 8:42:11, time: 0.209, data_time: 0.005, memory: 36051, decode.loss_ce: 0.6379, decode.acc_seg: 63.0477, aux.loss_ce: 0.2670, aux.acc_seg: 62.4564, loss: 0.9050 +2022-06-18 10:22:25,504 - mmseg - INFO - Iter [18450/160000] lr: 5.450e-05, eta: 8:41:57, time: 0.212, data_time: 0.006, memory: 36051, decode.loss_ce: 0.6407, decode.acc_seg: 61.3000, aux.loss_ce: 0.2687, aux.acc_seg: 60.8115, loss: 0.9093 +2022-06-18 10:22:36,000 - mmseg - INFO - Iter [18500/160000] lr: 5.448e-05, eta: 8:41:41, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6759, decode.acc_seg: 61.2213, aux.loss_ce: 0.2845, aux.acc_seg: 60.5343, loss: 0.9604 +2022-06-18 10:22:46,528 - mmseg - INFO - Iter [18550/160000] lr: 5.446e-05, eta: 8:41:26, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6843, decode.acc_seg: 61.1137, aux.loss_ce: 0.2867, aux.acc_seg: 60.5296, loss: 0.9710 +2022-06-18 10:22:57,114 - mmseg - INFO - Iter [18600/160000] lr: 5.444e-05, eta: 8:41:11, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6945, decode.acc_seg: 61.4177, aux.loss_ce: 0.2900, aux.acc_seg: 60.8119, loss: 0.9846 +2022-06-18 10:23:07,914 - mmseg - INFO - Iter [18650/160000] lr: 5.442e-05, eta: 8:40:59, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6487, decode.acc_seg: 61.0434, aux.loss_ce: 0.2747, aux.acc_seg: 60.3289, loss: 0.9234 +2022-06-18 10:23:18,404 - mmseg - INFO - Iter [18700/160000] lr: 5.440e-05, eta: 8:40:43, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6680, decode.acc_seg: 59.5481, aux.loss_ce: 0.2838, aux.acc_seg: 58.7583, loss: 0.9518 +2022-06-18 10:23:28,921 - mmseg - INFO - Iter [18750/160000] lr: 5.438e-05, eta: 8:40:28, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6289, decode.acc_seg: 61.6813, aux.loss_ce: 0.2626, aux.acc_seg: 61.4085, loss: 0.8915 +2022-06-18 10:23:39,465 - mmseg - INFO - Iter [18800/160000] lr: 5.436e-05, eta: 8:40:13, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6827, decode.acc_seg: 61.1574, aux.loss_ce: 0.2902, aux.acc_seg: 60.5547, loss: 0.9729 +2022-06-18 10:23:49,860 - mmseg - INFO - Iter [18850/160000] lr: 5.434e-05, eta: 8:39:57, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6834, decode.acc_seg: 59.3485, aux.loss_ce: 0.2881, aux.acc_seg: 58.5868, loss: 0.9715 +2022-06-18 10:24:00,420 - mmseg - INFO - Iter [18900/160000] lr: 5.432e-05, eta: 8:39:43, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6688, decode.acc_seg: 60.9247, aux.loss_ce: 0.2835, aux.acc_seg: 60.0453, loss: 0.9524 +2022-06-18 10:24:15,384 - mmseg - INFO - Iter [18950/160000] lr: 5.431e-05, eta: 8:40:00, time: 0.299, data_time: 0.049, memory: 36051, decode.loss_ce: 0.6268, decode.acc_seg: 61.8874, aux.loss_ce: 0.2663, aux.acc_seg: 61.3719, loss: 0.8932 +2022-06-18 10:24:26,057 - mmseg - INFO - Saving checkpoint at 19000 iterations +2022-06-18 10:24:28,797 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:24:28,797 - mmseg - INFO - Iter [19000/160000] lr: 5.429e-05, eta: 8:40:07, time: 0.269, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6076, decode.acc_seg: 62.9493, aux.loss_ce: 0.2577, aux.acc_seg: 62.1512, loss: 0.8652 +2022-06-18 10:24:39,319 - mmseg - INFO - Iter [19050/160000] lr: 5.427e-05, eta: 8:39:52, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6246, decode.acc_seg: 63.0831, aux.loss_ce: 0.2658, aux.acc_seg: 62.4743, loss: 0.8904 +2022-06-18 10:24:50,189 - mmseg - INFO - Iter [19100/160000] lr: 5.425e-05, eta: 8:39:39, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6349, decode.acc_seg: 63.7528, aux.loss_ce: 0.2679, aux.acc_seg: 63.0970, loss: 0.9028 +2022-06-18 10:25:00,765 - mmseg - INFO - Iter [19150/160000] lr: 5.423e-05, eta: 8:39:25, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6700, decode.acc_seg: 60.8069, aux.loss_ce: 0.2808, aux.acc_seg: 60.2909, loss: 0.9508 +2022-06-18 10:25:11,169 - mmseg - INFO - Iter [19200/160000] lr: 5.421e-05, eta: 8:39:09, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6522, decode.acc_seg: 62.6508, aux.loss_ce: 0.2753, aux.acc_seg: 61.7103, loss: 0.9275 +2022-06-18 10:25:21,702 - mmseg - INFO - Iter [19250/160000] lr: 5.419e-05, eta: 8:38:54, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6407, decode.acc_seg: 60.6215, aux.loss_ce: 0.2733, aux.acc_seg: 59.8179, loss: 0.9140 +2022-06-18 10:25:32,351 - mmseg - INFO - Iter [19300/160000] lr: 5.417e-05, eta: 8:38:40, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6585, decode.acc_seg: 61.6647, aux.loss_ce: 0.2785, aux.acc_seg: 61.1419, loss: 0.9370 +2022-06-18 10:25:43,070 - mmseg - INFO - Iter [19350/160000] lr: 5.415e-05, eta: 8:38:26, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6285, decode.acc_seg: 61.9155, aux.loss_ce: 0.2651, aux.acc_seg: 61.1377, loss: 0.8936 +2022-06-18 10:25:53,471 - mmseg - INFO - Iter [19400/160000] lr: 5.413e-05, eta: 8:38:10, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6188, decode.acc_seg: 63.0219, aux.loss_ce: 0.2610, aux.acc_seg: 62.4483, loss: 0.8799 +2022-06-18 10:26:04,241 - mmseg - INFO - Iter [19450/160000] lr: 5.411e-05, eta: 8:37:57, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6480, decode.acc_seg: 60.9988, aux.loss_ce: 0.2717, aux.acc_seg: 60.4744, loss: 0.9198 +2022-06-18 10:26:15,106 - mmseg - INFO - Iter [19500/160000] lr: 5.409e-05, eta: 8:37:45, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6328, decode.acc_seg: 63.4146, aux.loss_ce: 0.2651, aux.acc_seg: 62.7839, loss: 0.8979 +2022-06-18 10:26:25,979 - mmseg - INFO - Iter [19550/160000] lr: 5.407e-05, eta: 8:37:32, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6159, decode.acc_seg: 62.0930, aux.loss_ce: 0.2617, aux.acc_seg: 61.1268, loss: 0.8776 +2022-06-18 10:26:36,347 - mmseg - INFO - Iter [19600/160000] lr: 5.406e-05, eta: 8:37:16, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6413, decode.acc_seg: 60.2703, aux.loss_ce: 0.2735, aux.acc_seg: 59.4497, loss: 0.9148 +2022-06-18 10:26:47,117 - mmseg - INFO - Iter [19650/160000] lr: 5.404e-05, eta: 8:37:03, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6568, decode.acc_seg: 61.3515, aux.loss_ce: 0.2759, aux.acc_seg: 60.6481, loss: 0.9327 +2022-06-18 10:26:57,877 - mmseg - INFO - Iter [19700/160000] lr: 5.402e-05, eta: 8:36:50, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6496, decode.acc_seg: 61.7454, aux.loss_ce: 0.2728, aux.acc_seg: 61.1100, loss: 0.9223 +2022-06-18 10:27:08,665 - mmseg - INFO - Iter [19750/160000] lr: 5.400e-05, eta: 8:36:37, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6148, decode.acc_seg: 62.7880, aux.loss_ce: 0.2579, aux.acc_seg: 62.2929, loss: 0.8727 +2022-06-18 10:27:19,174 - mmseg - INFO - Iter [19800/160000] lr: 5.398e-05, eta: 8:36:23, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6661, decode.acc_seg: 61.1501, aux.loss_ce: 0.2803, aux.acc_seg: 60.2166, loss: 0.9465 +2022-06-18 10:27:30,403 - mmseg - INFO - Iter [19850/160000] lr: 5.396e-05, eta: 8:36:13, time: 0.225, data_time: 0.010, memory: 36051, decode.loss_ce: 0.6069, decode.acc_seg: 62.5233, aux.loss_ce: 0.2563, aux.acc_seg: 61.7534, loss: 0.8632 +2022-06-18 10:27:40,883 - mmseg - INFO - Iter [19900/160000] lr: 5.394e-05, eta: 8:35:58, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6243, decode.acc_seg: 62.0686, aux.loss_ce: 0.2630, aux.acc_seg: 61.3187, loss: 0.8873 +2022-06-18 10:27:51,623 - mmseg - INFO - Iter [19950/160000] lr: 5.392e-05, eta: 8:35:44, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6796, decode.acc_seg: 62.3448, aux.loss_ce: 0.2886, aux.acc_seg: 61.7781, loss: 0.9683 +2022-06-18 10:28:02,320 - mmseg - INFO - Saving checkpoint at 20000 iterations +2022-06-18 10:28:04,437 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:28:04,438 - mmseg - INFO - Iter [20000/160000] lr: 5.390e-05, eta: 8:35:46, time: 0.256, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6673, decode.acc_seg: 61.8312, aux.loss_ce: 0.2794, aux.acc_seg: 61.0401, loss: 0.9467 +2022-06-18 10:28:15,075 - mmseg - INFO - Iter [20050/160000] lr: 5.388e-05, eta: 8:35:32, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6297, decode.acc_seg: 62.2282, aux.loss_ce: 0.2623, aux.acc_seg: 61.6182, loss: 0.8920 +2022-06-18 10:28:25,774 - mmseg - INFO - Iter [20100/160000] lr: 5.386e-05, eta: 8:35:18, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6153, decode.acc_seg: 62.3178, aux.loss_ce: 0.2575, aux.acc_seg: 61.8039, loss: 0.8727 +2022-06-18 10:28:36,206 - mmseg - INFO - Iter [20150/160000] lr: 5.384e-05, eta: 8:35:03, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6606, decode.acc_seg: 60.3732, aux.loss_ce: 0.2764, aux.acc_seg: 60.0117, loss: 0.9370 +2022-06-18 10:28:46,679 - mmseg - INFO - Iter [20200/160000] lr: 5.382e-05, eta: 8:34:48, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6514, decode.acc_seg: 60.5939, aux.loss_ce: 0.2757, aux.acc_seg: 60.0852, loss: 0.9271 +2022-06-18 10:28:59,830 - mmseg - INFO - Iter [20250/160000] lr: 5.381e-05, eta: 8:34:51, time: 0.263, data_time: 0.052, memory: 36051, decode.loss_ce: 0.6331, decode.acc_seg: 61.7645, aux.loss_ce: 0.2687, aux.acc_seg: 60.8400, loss: 0.9018 +2022-06-18 10:29:10,393 - mmseg - INFO - Iter [20300/160000] lr: 5.379e-05, eta: 8:34:37, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6283, decode.acc_seg: 61.2204, aux.loss_ce: 0.2666, aux.acc_seg: 60.3657, loss: 0.8950 +2022-06-18 10:29:21,038 - mmseg - INFO - Iter [20350/160000] lr: 5.377e-05, eta: 8:34:23, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6196, decode.acc_seg: 63.0311, aux.loss_ce: 0.2606, aux.acc_seg: 62.3883, loss: 0.8802 +2022-06-18 10:29:31,522 - mmseg - INFO - Iter [20400/160000] lr: 5.375e-05, eta: 8:34:08, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5894, decode.acc_seg: 61.2731, aux.loss_ce: 0.2510, aux.acc_seg: 60.4555, loss: 0.8404 +2022-06-18 10:29:42,009 - mmseg - INFO - Iter [20450/160000] lr: 5.373e-05, eta: 8:33:53, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6435, decode.acc_seg: 61.2449, aux.loss_ce: 0.2730, aux.acc_seg: 60.5456, loss: 0.9164 +2022-06-18 10:29:52,682 - mmseg - INFO - Iter [20500/160000] lr: 5.371e-05, eta: 8:33:40, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6750, decode.acc_seg: 62.1497, aux.loss_ce: 0.2833, aux.acc_seg: 61.3931, loss: 0.9582 +2022-06-18 10:30:03,582 - mmseg - INFO - Iter [20550/160000] lr: 5.369e-05, eta: 8:33:28, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6540, decode.acc_seg: 60.3895, aux.loss_ce: 0.2758, aux.acc_seg: 59.7364, loss: 0.9299 +2022-06-18 10:30:14,057 - mmseg - INFO - Iter [20600/160000] lr: 5.367e-05, eta: 8:33:13, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5777, decode.acc_seg: 62.5722, aux.loss_ce: 0.2434, aux.acc_seg: 61.8483, loss: 0.8211 +2022-06-18 10:30:24,638 - mmseg - INFO - Iter [20650/160000] lr: 5.365e-05, eta: 8:32:59, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6177, decode.acc_seg: 63.6723, aux.loss_ce: 0.2626, aux.acc_seg: 63.1160, loss: 0.8803 +2022-06-18 10:30:35,102 - mmseg - INFO - Iter [20700/160000] lr: 5.363e-05, eta: 8:32:44, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6314, decode.acc_seg: 63.1841, aux.loss_ce: 0.2677, aux.acc_seg: 62.2774, loss: 0.8991 +2022-06-18 10:30:45,884 - mmseg - INFO - Iter [20750/160000] lr: 5.361e-05, eta: 8:32:31, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6409, decode.acc_seg: 62.5090, aux.loss_ce: 0.2681, aux.acc_seg: 61.7821, loss: 0.9091 +2022-06-18 10:30:56,339 - mmseg - INFO - Iter [20800/160000] lr: 5.359e-05, eta: 8:32:16, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6357, decode.acc_seg: 62.5762, aux.loss_ce: 0.2711, aux.acc_seg: 61.9345, loss: 0.9068 +2022-06-18 10:31:06,985 - mmseg - INFO - Iter [20850/160000] lr: 5.357e-05, eta: 8:32:02, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6217, decode.acc_seg: 62.9987, aux.loss_ce: 0.2640, aux.acc_seg: 62.4787, loss: 0.8858 +2022-06-18 10:31:17,725 - mmseg - INFO - Iter [20900/160000] lr: 5.355e-05, eta: 8:31:49, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6208, decode.acc_seg: 60.7513, aux.loss_ce: 0.2638, aux.acc_seg: 60.1822, loss: 0.8847 +2022-06-18 10:31:28,548 - mmseg - INFO - Iter [20950/160000] lr: 5.354e-05, eta: 8:31:37, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6312, decode.acc_seg: 62.3559, aux.loss_ce: 0.2680, aux.acc_seg: 61.5985, loss: 0.8993 +2022-06-18 10:31:39,473 - mmseg - INFO - Saving checkpoint at 21000 iterations +2022-06-18 10:31:40,707 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:31:40,707 - mmseg - INFO - Iter [21000/160000] lr: 5.352e-05, eta: 8:31:33, time: 0.243, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5927, decode.acc_seg: 62.3947, aux.loss_ce: 0.2518, aux.acc_seg: 61.5874, loss: 0.8445 +2022-06-18 10:31:51,153 - mmseg - INFO - Iter [21050/160000] lr: 5.350e-05, eta: 8:31:18, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6283, decode.acc_seg: 61.6163, aux.loss_ce: 0.2650, aux.acc_seg: 60.9929, loss: 0.8932 +2022-06-18 10:32:01,855 - mmseg - INFO - Iter [21100/160000] lr: 5.348e-05, eta: 8:31:05, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6043, decode.acc_seg: 62.8007, aux.loss_ce: 0.2576, aux.acc_seg: 62.1460, loss: 0.8619 +2022-06-18 10:32:12,640 - mmseg - INFO - Iter [21150/160000] lr: 5.346e-05, eta: 8:30:52, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6367, decode.acc_seg: 62.1912, aux.loss_ce: 0.2698, aux.acc_seg: 61.3966, loss: 0.9065 +2022-06-18 10:32:23,460 - mmseg - INFO - Iter [21200/160000] lr: 5.344e-05, eta: 8:30:40, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6375, decode.acc_seg: 61.6797, aux.loss_ce: 0.2685, aux.acc_seg: 61.0069, loss: 0.9060 +2022-06-18 10:32:34,392 - mmseg - INFO - Iter [21250/160000] lr: 5.342e-05, eta: 8:30:28, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6142, decode.acc_seg: 63.1289, aux.loss_ce: 0.2607, aux.acc_seg: 62.2556, loss: 0.8750 +2022-06-18 10:32:45,049 - mmseg - INFO - Iter [21300/160000] lr: 5.340e-05, eta: 8:30:14, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6554, decode.acc_seg: 61.0786, aux.loss_ce: 0.2783, aux.acc_seg: 60.5900, loss: 0.9337 +2022-06-18 10:32:55,610 - mmseg - INFO - Iter [21350/160000] lr: 5.338e-05, eta: 8:30:00, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6359, decode.acc_seg: 63.3910, aux.loss_ce: 0.2668, aux.acc_seg: 62.8324, loss: 0.9027 +2022-06-18 10:33:06,315 - mmseg - INFO - Iter [21400/160000] lr: 5.336e-05, eta: 8:29:47, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5974, decode.acc_seg: 61.5821, aux.loss_ce: 0.2535, aux.acc_seg: 60.8680, loss: 0.8509 +2022-06-18 10:33:16,957 - mmseg - INFO - Iter [21450/160000] lr: 5.334e-05, eta: 8:29:34, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6724, decode.acc_seg: 59.9571, aux.loss_ce: 0.2856, aux.acc_seg: 59.1031, loss: 0.9580 +2022-06-18 10:33:29,737 - mmseg - INFO - Iter [21500/160000] lr: 5.332e-05, eta: 8:29:34, time: 0.256, data_time: 0.048, memory: 36051, decode.loss_ce: 0.6136, decode.acc_seg: 61.5786, aux.loss_ce: 0.2570, aux.acc_seg: 61.2870, loss: 0.8706 +2022-06-18 10:33:40,522 - mmseg - INFO - Iter [21550/160000] lr: 5.330e-05, eta: 8:29:21, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6042, decode.acc_seg: 63.1493, aux.loss_ce: 0.2570, aux.acc_seg: 62.5114, loss: 0.8612 +2022-06-18 10:33:51,375 - mmseg - INFO - Iter [21600/160000] lr: 5.329e-05, eta: 8:29:09, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6208, decode.acc_seg: 61.2461, aux.loss_ce: 0.2655, aux.acc_seg: 60.2075, loss: 0.8864 +2022-06-18 10:34:02,023 - mmseg - INFO - Iter [21650/160000] lr: 5.327e-05, eta: 8:28:55, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5741, decode.acc_seg: 62.7418, aux.loss_ce: 0.2445, aux.acc_seg: 61.9121, loss: 0.8185 +2022-06-18 10:34:13,314 - mmseg - INFO - Iter [21700/160000] lr: 5.325e-05, eta: 8:28:46, time: 0.226, data_time: 0.017, memory: 36051, decode.loss_ce: 0.6213, decode.acc_seg: 61.1855, aux.loss_ce: 0.2669, aux.acc_seg: 60.3000, loss: 0.8882 +2022-06-18 10:34:24,042 - mmseg - INFO - Iter [21750/160000] lr: 5.323e-05, eta: 8:28:33, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6032, decode.acc_seg: 63.0252, aux.loss_ce: 0.2552, aux.acc_seg: 62.4339, loss: 0.8584 +2022-06-18 10:34:34,767 - mmseg - INFO - Iter [21800/160000] lr: 5.321e-05, eta: 8:28:20, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6251, decode.acc_seg: 61.2638, aux.loss_ce: 0.2651, aux.acc_seg: 60.8535, loss: 0.8903 +2022-06-18 10:34:45,381 - mmseg - INFO - Iter [21850/160000] lr: 5.319e-05, eta: 8:28:06, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5741, decode.acc_seg: 62.6048, aux.loss_ce: 0.2450, aux.acc_seg: 61.9198, loss: 0.8191 +2022-06-18 10:34:56,153 - mmseg - INFO - Iter [21900/160000] lr: 5.317e-05, eta: 8:27:53, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5864, decode.acc_seg: 63.8663, aux.loss_ce: 0.2527, aux.acc_seg: 62.9110, loss: 0.8391 +2022-06-18 10:35:07,054 - mmseg - INFO - Iter [21950/160000] lr: 5.315e-05, eta: 8:27:42, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5900, decode.acc_seg: 62.8637, aux.loss_ce: 0.2492, aux.acc_seg: 62.3713, loss: 0.8392 +2022-06-18 10:35:17,773 - mmseg - INFO - Saving checkpoint at 22000 iterations +2022-06-18 10:35:19,866 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:35:19,867 - mmseg - INFO - Iter [22000/160000] lr: 5.313e-05, eta: 8:27:42, time: 0.256, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6094, decode.acc_seg: 61.4869, aux.loss_ce: 0.2614, aux.acc_seg: 60.4738, loss: 0.8708 +2022-06-18 10:35:30,788 - mmseg - INFO - Iter [22050/160000] lr: 5.311e-05, eta: 8:27:30, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6349, decode.acc_seg: 61.3663, aux.loss_ce: 0.2687, aux.acc_seg: 60.6592, loss: 0.9036 +2022-06-18 10:35:41,368 - mmseg - INFO - Iter [22100/160000] lr: 5.309e-05, eta: 8:27:16, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6061, decode.acc_seg: 61.8491, aux.loss_ce: 0.2569, aux.acc_seg: 61.1569, loss: 0.8630 +2022-06-18 10:35:52,012 - mmseg - INFO - Iter [22150/160000] lr: 5.307e-05, eta: 8:27:03, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6337, decode.acc_seg: 62.8425, aux.loss_ce: 0.2672, aux.acc_seg: 62.1470, loss: 0.9009 +2022-06-18 10:36:02,682 - mmseg - INFO - Iter [22200/160000] lr: 5.305e-05, eta: 8:26:49, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6369, decode.acc_seg: 61.9314, aux.loss_ce: 0.2672, aux.acc_seg: 61.1485, loss: 0.9040 +2022-06-18 10:36:13,165 - mmseg - INFO - Iter [22250/160000] lr: 5.304e-05, eta: 8:26:35, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6658, decode.acc_seg: 61.8840, aux.loss_ce: 0.2831, aux.acc_seg: 61.1430, loss: 0.9489 +2022-06-18 10:36:23,928 - mmseg - INFO - Iter [22300/160000] lr: 5.302e-05, eta: 8:26:22, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6397, decode.acc_seg: 61.8552, aux.loss_ce: 0.2735, aux.acc_seg: 61.1514, loss: 0.9132 +2022-06-18 10:36:34,451 - mmseg - INFO - Iter [22350/160000] lr: 5.300e-05, eta: 8:26:08, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6522, decode.acc_seg: 60.8448, aux.loss_ce: 0.2744, aux.acc_seg: 60.2209, loss: 0.9266 +2022-06-18 10:36:45,323 - mmseg - INFO - Iter [22400/160000] lr: 5.298e-05, eta: 8:25:56, time: 0.218, data_time: 0.005, memory: 36051, decode.loss_ce: 0.6312, decode.acc_seg: 63.3655, aux.loss_ce: 0.2640, aux.acc_seg: 62.6506, loss: 0.8952 +2022-06-18 10:36:55,928 - mmseg - INFO - Iter [22450/160000] lr: 5.296e-05, eta: 8:25:42, time: 0.213, data_time: 0.005, memory: 36051, decode.loss_ce: 0.6013, decode.acc_seg: 62.4770, aux.loss_ce: 0.2556, aux.acc_seg: 61.9734, loss: 0.8569 +2022-06-18 10:37:06,525 - mmseg - INFO - Iter [22500/160000] lr: 5.294e-05, eta: 8:25:29, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6273, decode.acc_seg: 61.4570, aux.loss_ce: 0.2651, aux.acc_seg: 60.9924, loss: 0.8925 +2022-06-18 10:37:17,370 - mmseg - INFO - Iter [22550/160000] lr: 5.292e-05, eta: 8:25:17, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6346, decode.acc_seg: 62.3286, aux.loss_ce: 0.2695, aux.acc_seg: 61.5936, loss: 0.9041 +2022-06-18 10:37:28,203 - mmseg - INFO - Iter [22600/160000] lr: 5.290e-05, eta: 8:25:04, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6089, decode.acc_seg: 62.8591, aux.loss_ce: 0.2566, aux.acc_seg: 62.2882, loss: 0.8655 +2022-06-18 10:37:38,736 - mmseg - INFO - Iter [22650/160000] lr: 5.288e-05, eta: 8:24:50, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6059, decode.acc_seg: 63.7045, aux.loss_ce: 0.2584, aux.acc_seg: 62.8220, loss: 0.8643 +2022-06-18 10:37:49,455 - mmseg - INFO - Iter [22700/160000] lr: 5.286e-05, eta: 8:24:37, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6286, decode.acc_seg: 62.5988, aux.loss_ce: 0.2660, aux.acc_seg: 61.9781, loss: 0.8946 +2022-06-18 10:38:02,412 - mmseg - INFO - Iter [22750/160000] lr: 5.284e-05, eta: 8:24:38, time: 0.259, data_time: 0.048, memory: 36051, decode.loss_ce: 0.6311, decode.acc_seg: 62.6234, aux.loss_ce: 0.2706, aux.acc_seg: 61.8411, loss: 0.9017 +2022-06-18 10:38:13,099 - mmseg - INFO - Iter [22800/160000] lr: 5.282e-05, eta: 8:24:25, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6036, decode.acc_seg: 62.8911, aux.loss_ce: 0.2559, aux.acc_seg: 62.2437, loss: 0.8595 +2022-06-18 10:38:23,769 - mmseg - INFO - Iter [22850/160000] lr: 5.280e-05, eta: 8:24:12, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6012, decode.acc_seg: 63.6401, aux.loss_ce: 0.2567, aux.acc_seg: 63.0397, loss: 0.8579 +2022-06-18 10:38:34,667 - mmseg - INFO - Iter [22900/160000] lr: 5.278e-05, eta: 8:24:00, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6428, decode.acc_seg: 63.2749, aux.loss_ce: 0.2742, aux.acc_seg: 62.1066, loss: 0.9170 +2022-06-18 10:38:45,246 - mmseg - INFO - Iter [22950/160000] lr: 5.277e-05, eta: 8:23:46, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5843, decode.acc_seg: 63.8738, aux.loss_ce: 0.2472, aux.acc_seg: 63.1576, loss: 0.8315 +2022-06-18 10:38:55,978 - mmseg - INFO - Saving checkpoint at 23000 iterations +2022-06-18 10:38:58,025 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:38:58,025 - mmseg - INFO - Iter [23000/160000] lr: 5.275e-05, eta: 8:23:46, time: 0.256, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6066, decode.acc_seg: 62.6911, aux.loss_ce: 0.2600, aux.acc_seg: 61.8176, loss: 0.8665 +2022-06-18 10:39:08,824 - mmseg - INFO - Iter [23050/160000] lr: 5.273e-05, eta: 8:23:33, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5765, decode.acc_seg: 63.5685, aux.loss_ce: 0.2439, aux.acc_seg: 62.9330, loss: 0.8204 +2022-06-18 10:39:19,510 - mmseg - INFO - Iter [23100/160000] lr: 5.271e-05, eta: 8:23:20, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5648, decode.acc_seg: 64.9339, aux.loss_ce: 0.2404, aux.acc_seg: 64.1003, loss: 0.8052 +2022-06-18 10:39:30,185 - mmseg - INFO - Iter [23150/160000] lr: 5.269e-05, eta: 8:23:07, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5832, decode.acc_seg: 61.9608, aux.loss_ce: 0.2504, aux.acc_seg: 61.2749, loss: 0.8336 +2022-06-18 10:39:40,808 - mmseg - INFO - Iter [23200/160000] lr: 5.267e-05, eta: 8:22:54, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5631, decode.acc_seg: 62.8171, aux.loss_ce: 0.2394, aux.acc_seg: 62.1533, loss: 0.8025 +2022-06-18 10:39:51,681 - mmseg - INFO - Iter [23250/160000] lr: 5.265e-05, eta: 8:22:42, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6063, decode.acc_seg: 64.2328, aux.loss_ce: 0.2575, aux.acc_seg: 63.6850, loss: 0.8637 +2022-06-18 10:40:02,187 - mmseg - INFO - Iter [23300/160000] lr: 5.263e-05, eta: 8:22:28, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5739, decode.acc_seg: 63.9047, aux.loss_ce: 0.2461, aux.acc_seg: 62.9754, loss: 0.8199 +2022-06-18 10:40:12,769 - mmseg - INFO - Iter [23350/160000] lr: 5.261e-05, eta: 8:22:14, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6020, decode.acc_seg: 61.3396, aux.loss_ce: 0.2563, aux.acc_seg: 60.4734, loss: 0.8583 +2022-06-18 10:40:23,798 - mmseg - INFO - Iter [23400/160000] lr: 5.259e-05, eta: 8:22:03, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6240, decode.acc_seg: 61.4187, aux.loss_ce: 0.2640, aux.acc_seg: 60.6872, loss: 0.8880 +2022-06-18 10:40:34,347 - mmseg - INFO - Iter [23450/160000] lr: 5.257e-05, eta: 8:21:49, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6127, decode.acc_seg: 61.6329, aux.loss_ce: 0.2582, aux.acc_seg: 61.1092, loss: 0.8709 +2022-06-18 10:40:44,823 - mmseg - INFO - Iter [23500/160000] lr: 5.255e-05, eta: 8:21:35, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6059, decode.acc_seg: 62.4349, aux.loss_ce: 0.2587, aux.acc_seg: 61.5379, loss: 0.8647 +2022-06-18 10:40:55,940 - mmseg - INFO - Iter [23550/160000] lr: 5.253e-05, eta: 8:21:24, time: 0.223, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6288, decode.acc_seg: 63.3358, aux.loss_ce: 0.2627, aux.acc_seg: 62.9021, loss: 0.8915 +2022-06-18 10:41:07,254 - mmseg - INFO - Iter [23600/160000] lr: 5.252e-05, eta: 8:21:15, time: 0.226, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6246, decode.acc_seg: 62.9034, aux.loss_ce: 0.2636, aux.acc_seg: 62.1919, loss: 0.8882 +2022-06-18 10:41:17,727 - mmseg - INFO - Iter [23650/160000] lr: 5.250e-05, eta: 8:21:01, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6077, decode.acc_seg: 62.7992, aux.loss_ce: 0.2582, aux.acc_seg: 62.2781, loss: 0.8659 +2022-06-18 10:41:28,366 - mmseg - INFO - Iter [23700/160000] lr: 5.248e-05, eta: 8:20:48, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6201, decode.acc_seg: 61.9463, aux.loss_ce: 0.2632, aux.acc_seg: 61.1667, loss: 0.8833 +2022-06-18 10:41:39,194 - mmseg - INFO - Iter [23750/160000] lr: 5.246e-05, eta: 8:20:35, time: 0.217, data_time: 0.007, memory: 36051, decode.loss_ce: 0.6369, decode.acc_seg: 62.5355, aux.loss_ce: 0.2696, aux.acc_seg: 61.7598, loss: 0.9065 +2022-06-18 10:41:49,857 - mmseg - INFO - Iter [23800/160000] lr: 5.244e-05, eta: 8:20:22, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5995, decode.acc_seg: 61.8454, aux.loss_ce: 0.2530, aux.acc_seg: 61.1806, loss: 0.8525 +2022-06-18 10:42:00,496 - mmseg - INFO - Iter [23850/160000] lr: 5.242e-05, eta: 8:20:09, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6459, decode.acc_seg: 62.9001, aux.loss_ce: 0.2730, aux.acc_seg: 62.2302, loss: 0.9189 +2022-06-18 10:42:11,034 - mmseg - INFO - Iter [23900/160000] lr: 5.240e-05, eta: 8:19:55, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6180, decode.acc_seg: 62.8673, aux.loss_ce: 0.2632, aux.acc_seg: 62.1578, loss: 0.8812 +2022-06-18 10:42:21,581 - mmseg - INFO - Iter [23950/160000] lr: 5.238e-05, eta: 8:19:42, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5908, decode.acc_seg: 62.9678, aux.loss_ce: 0.2498, aux.acc_seg: 62.4607, loss: 0.8406 +2022-06-18 10:42:34,447 - mmseg - INFO - Saving checkpoint at 24000 iterations +2022-06-18 10:42:37,432 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:42:37,432 - mmseg - INFO - Iter [24000/160000] lr: 5.236e-05, eta: 8:19:58, time: 0.316, data_time: 0.050, memory: 36051, decode.loss_ce: 0.6104, decode.acc_seg: 62.1581, aux.loss_ce: 0.2576, aux.acc_seg: 61.5387, loss: 0.8680 +2022-06-18 10:42:48,623 - mmseg - INFO - Iter [24050/160000] lr: 5.234e-05, eta: 8:19:48, time: 0.225, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5492, decode.acc_seg: 63.2852, aux.loss_ce: 0.2325, aux.acc_seg: 62.5887, loss: 0.7816 +2022-06-18 10:42:59,225 - mmseg - INFO - Iter [24100/160000] lr: 5.232e-05, eta: 8:19:35, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6000, decode.acc_seg: 63.5784, aux.loss_ce: 0.2546, aux.acc_seg: 62.7124, loss: 0.8546 +2022-06-18 10:43:10,201 - mmseg - INFO - Iter [24150/160000] lr: 5.230e-05, eta: 8:19:23, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5672, decode.acc_seg: 64.3393, aux.loss_ce: 0.2434, aux.acc_seg: 63.1852, loss: 0.8106 +2022-06-18 10:43:20,720 - mmseg - INFO - Iter [24200/160000] lr: 5.228e-05, eta: 8:19:09, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5743, decode.acc_seg: 63.5365, aux.loss_ce: 0.2430, aux.acc_seg: 62.7605, loss: 0.8174 +2022-06-18 10:43:31,488 - mmseg - INFO - Iter [24250/160000] lr: 5.227e-05, eta: 8:18:57, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5804, decode.acc_seg: 64.4072, aux.loss_ce: 0.2490, aux.acc_seg: 63.6456, loss: 0.8294 +2022-06-18 10:43:41,834 - mmseg - INFO - Iter [24300/160000] lr: 5.225e-05, eta: 8:18:42, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5984, decode.acc_seg: 63.4359, aux.loss_ce: 0.2547, aux.acc_seg: 62.6512, loss: 0.8531 +2022-06-18 10:43:52,563 - mmseg - INFO - Iter [24350/160000] lr: 5.223e-05, eta: 8:18:29, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6028, decode.acc_seg: 62.1744, aux.loss_ce: 0.2558, aux.acc_seg: 61.6830, loss: 0.8586 +2022-06-18 10:44:03,281 - mmseg - INFO - Iter [24400/160000] lr: 5.221e-05, eta: 8:18:17, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5901, decode.acc_seg: 64.5831, aux.loss_ce: 0.2496, aux.acc_seg: 64.0825, loss: 0.8397 +2022-06-18 10:44:13,916 - mmseg - INFO - Iter [24450/160000] lr: 5.219e-05, eta: 8:18:03, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5719, decode.acc_seg: 62.4633, aux.loss_ce: 0.2459, aux.acc_seg: 61.6229, loss: 0.8178 +2022-06-18 10:44:24,501 - mmseg - INFO - Iter [24500/160000] lr: 5.217e-05, eta: 8:17:50, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6010, decode.acc_seg: 63.6518, aux.loss_ce: 0.2563, aux.acc_seg: 62.8923, loss: 0.8573 +2022-06-18 10:44:35,208 - mmseg - INFO - Iter [24550/160000] lr: 5.215e-05, eta: 8:17:37, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5490, decode.acc_seg: 64.5434, aux.loss_ce: 0.2368, aux.acc_seg: 63.5830, loss: 0.7858 +2022-06-18 10:44:45,814 - mmseg - INFO - Iter [24600/160000] lr: 5.213e-05, eta: 8:17:24, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5781, decode.acc_seg: 60.8283, aux.loss_ce: 0.2481, aux.acc_seg: 59.9899, loss: 0.8262 +2022-06-18 10:44:56,644 - mmseg - INFO - Iter [24650/160000] lr: 5.211e-05, eta: 8:17:12, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6039, decode.acc_seg: 62.1799, aux.loss_ce: 0.2557, aux.acc_seg: 61.4146, loss: 0.8595 +2022-06-18 10:45:07,139 - mmseg - INFO - Iter [24700/160000] lr: 5.209e-05, eta: 8:16:58, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5940, decode.acc_seg: 63.6470, aux.loss_ce: 0.2539, aux.acc_seg: 62.7530, loss: 0.8479 +2022-06-18 10:45:17,965 - mmseg - INFO - Iter [24750/160000] lr: 5.207e-05, eta: 8:16:46, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6255, decode.acc_seg: 63.4252, aux.loss_ce: 0.2623, aux.acc_seg: 63.1430, loss: 0.8878 +2022-06-18 10:45:28,466 - mmseg - INFO - Iter [24800/160000] lr: 5.205e-05, eta: 8:16:32, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5745, decode.acc_seg: 63.8012, aux.loss_ce: 0.2456, aux.acc_seg: 63.0246, loss: 0.8201 +2022-06-18 10:45:38,921 - mmseg - INFO - Iter [24850/160000] lr: 5.203e-05, eta: 8:16:18, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5907, decode.acc_seg: 61.8529, aux.loss_ce: 0.2496, aux.acc_seg: 61.1381, loss: 0.8403 +2022-06-18 10:45:49,536 - mmseg - INFO - Iter [24900/160000] lr: 5.201e-05, eta: 8:16:05, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5884, decode.acc_seg: 63.5843, aux.loss_ce: 0.2515, aux.acc_seg: 62.8771, loss: 0.8399 +2022-06-18 10:46:00,548 - mmseg - INFO - Iter [24950/160000] lr: 5.200e-05, eta: 8:15:54, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5810, decode.acc_seg: 63.3028, aux.loss_ce: 0.2454, aux.acc_seg: 62.6750, loss: 0.8264 +2022-06-18 10:46:11,349 - mmseg - INFO - Saving checkpoint at 25000 iterations +2022-06-18 10:46:13,384 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:46:13,384 - mmseg - INFO - Iter [25000/160000] lr: 5.198e-05, eta: 8:15:52, time: 0.257, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6319, decode.acc_seg: 62.6052, aux.loss_ce: 0.2698, aux.acc_seg: 61.8181, loss: 0.9017 +2022-06-18 10:46:23,997 - mmseg - INFO - Iter [25050/160000] lr: 5.196e-05, eta: 8:15:39, time: 0.212, data_time: 0.005, memory: 36051, decode.loss_ce: 0.6107, decode.acc_seg: 61.9344, aux.loss_ce: 0.2579, aux.acc_seg: 61.4864, loss: 0.8686 +2022-06-18 10:46:34,710 - mmseg - INFO - Iter [25100/160000] lr: 5.194e-05, eta: 8:15:27, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5934, decode.acc_seg: 63.0414, aux.loss_ce: 0.2516, aux.acc_seg: 62.6632, loss: 0.8450 +2022-06-18 10:46:45,430 - mmseg - INFO - Iter [25150/160000] lr: 5.192e-05, eta: 8:15:14, time: 0.214, data_time: 0.006, memory: 36051, decode.loss_ce: 0.5985, decode.acc_seg: 63.9794, aux.loss_ce: 0.2571, aux.acc_seg: 63.1519, loss: 0.8556 +2022-06-18 10:46:56,052 - mmseg - INFO - Iter [25200/160000] lr: 5.190e-05, eta: 8:15:01, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5920, decode.acc_seg: 62.8831, aux.loss_ce: 0.2519, aux.acc_seg: 61.9352, loss: 0.8439 +2022-06-18 10:47:06,692 - mmseg - INFO - Iter [25250/160000] lr: 5.188e-05, eta: 8:14:48, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6292, decode.acc_seg: 61.5742, aux.loss_ce: 0.2661, aux.acc_seg: 60.7887, loss: 0.8953 +2022-06-18 10:47:19,538 - mmseg - INFO - Iter [25300/160000] lr: 5.186e-05, eta: 8:14:47, time: 0.257, data_time: 0.048, memory: 36051, decode.loss_ce: 0.6215, decode.acc_seg: 63.0148, aux.loss_ce: 0.2640, aux.acc_seg: 62.3209, loss: 0.8855 +2022-06-18 10:47:30,101 - mmseg - INFO - Iter [25350/160000] lr: 5.184e-05, eta: 8:14:33, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5737, decode.acc_seg: 64.5814, aux.loss_ce: 0.2464, aux.acc_seg: 63.7479, loss: 0.8201 +2022-06-18 10:47:40,631 - mmseg - INFO - Iter [25400/160000] lr: 5.182e-05, eta: 8:14:19, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5757, decode.acc_seg: 62.1553, aux.loss_ce: 0.2446, aux.acc_seg: 61.5695, loss: 0.8203 +2022-06-18 10:47:51,149 - mmseg - INFO - Iter [25450/160000] lr: 5.180e-05, eta: 8:14:06, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5574, decode.acc_seg: 64.8765, aux.loss_ce: 0.2392, aux.acc_seg: 64.0071, loss: 0.7967 +2022-06-18 10:48:01,675 - mmseg - INFO - Iter [25500/160000] lr: 5.178e-05, eta: 8:13:52, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5898, decode.acc_seg: 63.3603, aux.loss_ce: 0.2508, aux.acc_seg: 62.5706, loss: 0.8406 +2022-06-18 10:48:12,308 - mmseg - INFO - Iter [25550/160000] lr: 5.176e-05, eta: 8:13:39, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5665, decode.acc_seg: 64.5485, aux.loss_ce: 0.2443, aux.acc_seg: 63.5446, loss: 0.8108 +2022-06-18 10:48:22,880 - mmseg - INFO - Iter [25600/160000] lr: 5.175e-05, eta: 8:13:26, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5984, decode.acc_seg: 62.4131, aux.loss_ce: 0.2559, aux.acc_seg: 61.6552, loss: 0.8542 +2022-06-18 10:48:33,406 - mmseg - INFO - Iter [25650/160000] lr: 5.173e-05, eta: 8:13:12, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5797, decode.acc_seg: 62.7374, aux.loss_ce: 0.2486, aux.acc_seg: 61.8262, loss: 0.8283 +2022-06-18 10:48:43,964 - mmseg - INFO - Iter [25700/160000] lr: 5.171e-05, eta: 8:12:59, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5901, decode.acc_seg: 62.0763, aux.loss_ce: 0.2502, aux.acc_seg: 61.4165, loss: 0.8403 +2022-06-18 10:48:54,350 - mmseg - INFO - Iter [25750/160000] lr: 5.169e-05, eta: 8:12:45, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5781, decode.acc_seg: 65.1125, aux.loss_ce: 0.2447, aux.acc_seg: 64.5884, loss: 0.8228 +2022-06-18 10:49:04,765 - mmseg - INFO - Iter [25800/160000] lr: 5.167e-05, eta: 8:12:30, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6205, decode.acc_seg: 62.9838, aux.loss_ce: 0.2650, aux.acc_seg: 62.0011, loss: 0.8854 +2022-06-18 10:49:15,408 - mmseg - INFO - Iter [25850/160000] lr: 5.165e-05, eta: 8:12:18, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5658, decode.acc_seg: 64.0811, aux.loss_ce: 0.2413, aux.acc_seg: 63.4160, loss: 0.8070 +2022-06-18 10:49:26,289 - mmseg - INFO - Iter [25900/160000] lr: 5.163e-05, eta: 8:12:06, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5728, decode.acc_seg: 62.8887, aux.loss_ce: 0.2458, aux.acc_seg: 61.9777, loss: 0.8186 +2022-06-18 10:49:36,763 - mmseg - INFO - Iter [25950/160000] lr: 5.161e-05, eta: 8:11:52, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5683, decode.acc_seg: 63.6575, aux.loss_ce: 0.2451, aux.acc_seg: 62.6473, loss: 0.8134 +2022-06-18 10:49:47,469 - mmseg - INFO - Saving checkpoint at 26000 iterations +2022-06-18 10:49:49,563 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:49:49,563 - mmseg - INFO - Iter [26000/160000] lr: 5.159e-05, eta: 8:11:50, time: 0.256, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5910, decode.acc_seg: 64.1127, aux.loss_ce: 0.2555, aux.acc_seg: 63.0501, loss: 0.8465 +2022-06-18 10:50:00,312 - mmseg - INFO - Iter [26050/160000] lr: 5.157e-05, eta: 8:11:38, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6003, decode.acc_seg: 63.1132, aux.loss_ce: 0.2561, aux.acc_seg: 62.3170, loss: 0.8564 +2022-06-18 10:50:10,915 - mmseg - INFO - Iter [26100/160000] lr: 5.155e-05, eta: 8:11:25, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5807, decode.acc_seg: 63.0762, aux.loss_ce: 0.2466, aux.acc_seg: 62.3624, loss: 0.8273 +2022-06-18 10:50:21,740 - mmseg - INFO - Iter [26150/160000] lr: 5.153e-05, eta: 8:11:13, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6161, decode.acc_seg: 62.0676, aux.loss_ce: 0.2623, aux.acc_seg: 61.5328, loss: 0.8783 +2022-06-18 10:50:32,199 - mmseg - INFO - Iter [26200/160000] lr: 5.151e-05, eta: 8:10:59, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6184, decode.acc_seg: 62.4869, aux.loss_ce: 0.2621, aux.acc_seg: 61.6017, loss: 0.8805 +2022-06-18 10:50:42,969 - mmseg - INFO - Iter [26250/160000] lr: 5.150e-05, eta: 8:10:47, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6099, decode.acc_seg: 62.3275, aux.loss_ce: 0.2566, aux.acc_seg: 61.8741, loss: 0.8665 +2022-06-18 10:50:53,435 - mmseg - INFO - Iter [26300/160000] lr: 5.148e-05, eta: 8:10:33, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5866, decode.acc_seg: 64.4317, aux.loss_ce: 0.2477, aux.acc_seg: 63.8778, loss: 0.8343 +2022-06-18 10:51:03,849 - mmseg - INFO - Iter [26350/160000] lr: 5.146e-05, eta: 8:10:19, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5937, decode.acc_seg: 63.5569, aux.loss_ce: 0.2529, aux.acc_seg: 62.7660, loss: 0.8466 +2022-06-18 10:51:14,085 - mmseg - INFO - Iter [26400/160000] lr: 5.144e-05, eta: 8:10:04, time: 0.205, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5874, decode.acc_seg: 63.5411, aux.loss_ce: 0.2496, aux.acc_seg: 63.0077, loss: 0.8370 +2022-06-18 10:51:24,758 - mmseg - INFO - Iter [26450/160000] lr: 5.142e-05, eta: 8:09:52, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.6284, decode.acc_seg: 62.1444, aux.loss_ce: 0.2645, aux.acc_seg: 61.4097, loss: 0.8929 +2022-06-18 10:51:35,836 - mmseg - INFO - Iter [26500/160000] lr: 5.140e-05, eta: 8:09:41, time: 0.222, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6114, decode.acc_seg: 62.8671, aux.loss_ce: 0.2562, aux.acc_seg: 62.1463, loss: 0.8676 +2022-06-18 10:51:49,181 - mmseg - INFO - Iter [26550/160000] lr: 5.138e-05, eta: 8:09:42, time: 0.267, data_time: 0.049, memory: 36051, decode.loss_ce: 0.5716, decode.acc_seg: 63.9813, aux.loss_ce: 0.2441, aux.acc_seg: 63.2001, loss: 0.8158 +2022-06-18 10:51:59,595 - mmseg - INFO - Iter [26600/160000] lr: 5.136e-05, eta: 8:09:28, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5589, decode.acc_seg: 62.9751, aux.loss_ce: 0.2395, aux.acc_seg: 61.9261, loss: 0.7985 +2022-06-18 10:52:10,105 - mmseg - INFO - Iter [26650/160000] lr: 5.134e-05, eta: 8:09:14, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5362, decode.acc_seg: 64.1659, aux.loss_ce: 0.2324, aux.acc_seg: 63.2208, loss: 0.7686 +2022-06-18 10:52:20,657 - mmseg - INFO - Iter [26700/160000] lr: 5.132e-05, eta: 8:09:01, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6006, decode.acc_seg: 62.7577, aux.loss_ce: 0.2556, aux.acc_seg: 62.1784, loss: 0.8563 +2022-06-18 10:52:31,321 - mmseg - INFO - Iter [26750/160000] lr: 5.130e-05, eta: 8:08:48, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5423, decode.acc_seg: 63.6086, aux.loss_ce: 0.2348, aux.acc_seg: 62.7557, loss: 0.7771 +2022-06-18 10:52:41,853 - mmseg - INFO - Iter [26800/160000] lr: 5.128e-05, eta: 8:08:35, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5757, decode.acc_seg: 62.2676, aux.loss_ce: 0.2449, aux.acc_seg: 61.8497, loss: 0.8205 +2022-06-18 10:52:52,301 - mmseg - INFO - Iter [26850/160000] lr: 5.126e-05, eta: 8:08:21, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5862, decode.acc_seg: 63.6909, aux.loss_ce: 0.2506, aux.acc_seg: 62.8536, loss: 0.8369 +2022-06-18 10:53:03,151 - mmseg - INFO - Iter [26900/160000] lr: 5.124e-05, eta: 8:08:09, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5724, decode.acc_seg: 63.2535, aux.loss_ce: 0.2452, aux.acc_seg: 62.4318, loss: 0.8176 +2022-06-18 10:53:13,639 - mmseg - INFO - Iter [26950/160000] lr: 5.123e-05, eta: 8:07:56, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5925, decode.acc_seg: 62.2596, aux.loss_ce: 0.2509, aux.acc_seg: 61.3966, loss: 0.8435 +2022-06-18 10:53:24,345 - mmseg - INFO - Saving checkpoint at 27000 iterations +2022-06-18 10:53:26,628 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:53:26,628 - mmseg - INFO - Iter [27000/160000] lr: 5.121e-05, eta: 8:07:55, time: 0.260, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5688, decode.acc_seg: 61.9696, aux.loss_ce: 0.2453, aux.acc_seg: 61.2730, loss: 0.8141 +2022-06-18 10:53:37,240 - mmseg - INFO - Iter [27050/160000] lr: 5.119e-05, eta: 8:07:42, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5882, decode.acc_seg: 62.7957, aux.loss_ce: 0.2495, aux.acc_seg: 61.9781, loss: 0.8377 +2022-06-18 10:53:47,886 - mmseg - INFO - Iter [27100/160000] lr: 5.117e-05, eta: 8:07:29, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5748, decode.acc_seg: 64.3943, aux.loss_ce: 0.2465, aux.acc_seg: 63.5083, loss: 0.8213 +2022-06-18 10:53:58,543 - mmseg - INFO - Iter [27150/160000] lr: 5.115e-05, eta: 8:07:16, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5984, decode.acc_seg: 62.9718, aux.loss_ce: 0.2563, aux.acc_seg: 62.3457, loss: 0.8547 +2022-06-18 10:54:08,963 - mmseg - INFO - Iter [27200/160000] lr: 5.113e-05, eta: 8:07:02, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5451, decode.acc_seg: 65.2192, aux.loss_ce: 0.2353, aux.acc_seg: 64.5201, loss: 0.7804 +2022-06-18 10:54:19,619 - mmseg - INFO - Iter [27250/160000] lr: 5.111e-05, eta: 8:06:49, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5831, decode.acc_seg: 62.8234, aux.loss_ce: 0.2504, aux.acc_seg: 62.0277, loss: 0.8335 +2022-06-18 10:54:30,456 - mmseg - INFO - Iter [27300/160000] lr: 5.109e-05, eta: 8:06:38, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5351, decode.acc_seg: 63.8681, aux.loss_ce: 0.2319, aux.acc_seg: 62.7518, loss: 0.7670 +2022-06-18 10:54:40,886 - mmseg - INFO - Iter [27350/160000] lr: 5.107e-05, eta: 8:06:24, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5975, decode.acc_seg: 62.5552, aux.loss_ce: 0.2536, aux.acc_seg: 61.9363, loss: 0.8511 +2022-06-18 10:54:51,844 - mmseg - INFO - Iter [27400/160000] lr: 5.105e-05, eta: 8:06:13, time: 0.219, data_time: 0.013, memory: 36051, decode.loss_ce: 0.6073, decode.acc_seg: 62.8988, aux.loss_ce: 0.2579, aux.acc_seg: 62.0427, loss: 0.8652 +2022-06-18 10:55:02,736 - mmseg - INFO - Iter [27450/160000] lr: 5.103e-05, eta: 8:06:01, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5495, decode.acc_seg: 65.3562, aux.loss_ce: 0.2368, aux.acc_seg: 64.6350, loss: 0.7863 +2022-06-18 10:55:13,297 - mmseg - INFO - Iter [27500/160000] lr: 5.101e-05, eta: 8:05:48, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5638, decode.acc_seg: 63.6583, aux.loss_ce: 0.2394, aux.acc_seg: 63.0751, loss: 0.8032 +2022-06-18 10:55:23,778 - mmseg - INFO - Iter [27550/160000] lr: 5.099e-05, eta: 8:05:35, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5786, decode.acc_seg: 64.5424, aux.loss_ce: 0.2463, aux.acc_seg: 64.0244, loss: 0.8249 +2022-06-18 10:55:34,310 - mmseg - INFO - Iter [27600/160000] lr: 5.098e-05, eta: 8:05:21, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5911, decode.acc_seg: 63.9314, aux.loss_ce: 0.2528, aux.acc_seg: 63.3075, loss: 0.8440 +2022-06-18 10:55:44,982 - mmseg - INFO - Iter [27650/160000] lr: 5.096e-05, eta: 8:05:09, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5652, decode.acc_seg: 62.9302, aux.loss_ce: 0.2387, aux.acc_seg: 62.2671, loss: 0.8039 +2022-06-18 10:55:55,739 - mmseg - INFO - Iter [27700/160000] lr: 5.094e-05, eta: 8:04:57, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5529, decode.acc_seg: 63.9569, aux.loss_ce: 0.2361, aux.acc_seg: 63.2600, loss: 0.7890 +2022-06-18 10:56:06,307 - mmseg - INFO - Iter [27750/160000] lr: 5.092e-05, eta: 8:04:44, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5668, decode.acc_seg: 64.6288, aux.loss_ce: 0.2382, aux.acc_seg: 64.1108, loss: 0.8051 +2022-06-18 10:56:19,444 - mmseg - INFO - Iter [27800/160000] lr: 5.090e-05, eta: 8:04:42, time: 0.261, data_time: 0.049, memory: 36051, decode.loss_ce: 0.5551, decode.acc_seg: 64.4638, aux.loss_ce: 0.2382, aux.acc_seg: 63.5802, loss: 0.7934 +2022-06-18 10:56:29,841 - mmseg - INFO - Iter [27850/160000] lr: 5.088e-05, eta: 8:04:29, time: 0.210, data_time: 0.005, memory: 36051, decode.loss_ce: 0.5800, decode.acc_seg: 63.8317, aux.loss_ce: 0.2471, aux.acc_seg: 63.0752, loss: 0.8271 +2022-06-18 10:56:40,522 - mmseg - INFO - Iter [27900/160000] lr: 5.086e-05, eta: 8:04:16, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5555, decode.acc_seg: 63.0129, aux.loss_ce: 0.2365, aux.acc_seg: 62.2889, loss: 0.7920 +2022-06-18 10:56:51,160 - mmseg - INFO - Iter [27950/160000] lr: 5.084e-05, eta: 8:04:03, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5249, decode.acc_seg: 64.3042, aux.loss_ce: 0.2250, aux.acc_seg: 63.4528, loss: 0.7498 +2022-06-18 10:57:01,981 - mmseg - INFO - Saving checkpoint at 28000 iterations +2022-06-18 10:57:04,224 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 10:57:04,224 - mmseg - INFO - Iter [28000/160000] lr: 5.082e-05, eta: 8:04:03, time: 0.263, data_time: 0.005, memory: 36051, decode.loss_ce: 0.5823, decode.acc_seg: 63.8145, aux.loss_ce: 0.2479, aux.acc_seg: 62.7665, loss: 0.8302 +2022-06-18 10:57:14,875 - mmseg - INFO - Iter [28050/160000] lr: 5.080e-05, eta: 8:03:50, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5157, decode.acc_seg: 65.8899, aux.loss_ce: 0.2257, aux.acc_seg: 64.8008, loss: 0.7414 +2022-06-18 10:57:25,452 - mmseg - INFO - Iter [28100/160000] lr: 5.078e-05, eta: 8:03:37, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5322, decode.acc_seg: 62.8594, aux.loss_ce: 0.2269, aux.acc_seg: 62.0906, loss: 0.7591 +2022-06-18 10:57:36,232 - mmseg - INFO - Iter [28150/160000] lr: 5.076e-05, eta: 8:03:25, time: 0.216, data_time: 0.005, memory: 36051, decode.loss_ce: 0.5675, decode.acc_seg: 63.6170, aux.loss_ce: 0.2402, aux.acc_seg: 62.9582, loss: 0.8077 +2022-06-18 10:57:46,794 - mmseg - INFO - Iter [28200/160000] lr: 5.074e-05, eta: 8:03:12, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5646, decode.acc_seg: 64.2190, aux.loss_ce: 0.2405, aux.acc_seg: 63.7041, loss: 0.8051 +2022-06-18 10:57:57,622 - mmseg - INFO - Iter [28250/160000] lr: 5.072e-05, eta: 8:03:00, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5938, decode.acc_seg: 62.5430, aux.loss_ce: 0.2573, aux.acc_seg: 61.4409, loss: 0.8511 +2022-06-18 10:58:08,358 - mmseg - INFO - Iter [28300/160000] lr: 5.071e-05, eta: 8:02:48, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5825, decode.acc_seg: 62.9785, aux.loss_ce: 0.2485, aux.acc_seg: 62.1886, loss: 0.8310 +2022-06-18 10:58:18,992 - mmseg - INFO - Iter [28350/160000] lr: 5.069e-05, eta: 8:02:35, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5712, decode.acc_seg: 62.2341, aux.loss_ce: 0.2471, aux.acc_seg: 61.4490, loss: 0.8183 +2022-06-18 10:58:29,914 - mmseg - INFO - Iter [28400/160000] lr: 5.067e-05, eta: 8:02:24, time: 0.218, data_time: 0.005, memory: 36051, decode.loss_ce: 0.5672, decode.acc_seg: 64.8017, aux.loss_ce: 0.2448, aux.acc_seg: 63.7660, loss: 0.8120 +2022-06-18 10:58:40,676 - mmseg - INFO - Iter [28450/160000] lr: 5.065e-05, eta: 8:02:12, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5814, decode.acc_seg: 63.2452, aux.loss_ce: 0.2497, aux.acc_seg: 62.1809, loss: 0.8312 +2022-06-18 10:58:51,123 - mmseg - INFO - Iter [28500/160000] lr: 5.063e-05, eta: 8:01:58, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5961, decode.acc_seg: 62.8650, aux.loss_ce: 0.2537, aux.acc_seg: 62.2629, loss: 0.8498 +2022-06-18 10:59:01,643 - mmseg - INFO - Iter [28550/160000] lr: 5.061e-05, eta: 8:01:45, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5785, decode.acc_seg: 63.2712, aux.loss_ce: 0.2453, aux.acc_seg: 62.7516, loss: 0.8238 +2022-06-18 10:59:12,432 - mmseg - INFO - Iter [28600/160000] lr: 5.059e-05, eta: 8:01:33, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5820, decode.acc_seg: 64.4702, aux.loss_ce: 0.2475, aux.acc_seg: 63.6281, loss: 0.8295 +2022-06-18 10:59:23,110 - mmseg - INFO - Iter [28650/160000] lr: 5.057e-05, eta: 8:01:21, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5416, decode.acc_seg: 63.3809, aux.loss_ce: 0.2337, aux.acc_seg: 62.4126, loss: 0.7753 +2022-06-18 10:59:33,928 - mmseg - INFO - Iter [28700/160000] lr: 5.055e-05, eta: 8:01:09, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5731, decode.acc_seg: 64.0272, aux.loss_ce: 0.2441, aux.acc_seg: 63.3023, loss: 0.8172 +2022-06-18 10:59:45,083 - mmseg - INFO - Iter [28750/160000] lr: 5.053e-05, eta: 8:00:58, time: 0.223, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5815, decode.acc_seg: 63.1990, aux.loss_ce: 0.2453, aux.acc_seg: 62.7942, loss: 0.8268 +2022-06-18 10:59:55,638 - mmseg - INFO - Iter [28800/160000] lr: 5.051e-05, eta: 8:00:45, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5506, decode.acc_seg: 63.0449, aux.loss_ce: 0.2361, aux.acc_seg: 62.1215, loss: 0.7867 +2022-06-18 11:00:06,198 - mmseg - INFO - Iter [28850/160000] lr: 5.049e-05, eta: 8:00:33, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5606, decode.acc_seg: 61.5181, aux.loss_ce: 0.2385, aux.acc_seg: 60.8887, loss: 0.7990 +2022-06-18 11:00:16,568 - mmseg - INFO - Iter [28900/160000] lr: 5.047e-05, eta: 8:00:19, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5671, decode.acc_seg: 64.5583, aux.loss_ce: 0.2412, aux.acc_seg: 63.9085, loss: 0.8083 +2022-06-18 11:00:27,289 - mmseg - INFO - Iter [28950/160000] lr: 5.046e-05, eta: 8:00:06, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5904, decode.acc_seg: 63.2923, aux.loss_ce: 0.2510, aux.acc_seg: 62.4383, loss: 0.8414 +2022-06-18 11:00:37,825 - mmseg - INFO - Saving checkpoint at 29000 iterations +2022-06-18 11:00:39,926 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:00:39,926 - mmseg - INFO - Iter [29000/160000] lr: 5.044e-05, eta: 8:00:03, time: 0.252, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5751, decode.acc_seg: 63.2008, aux.loss_ce: 0.2425, aux.acc_seg: 62.7366, loss: 0.8176 +2022-06-18 11:00:53,704 - mmseg - INFO - Iter [29050/160000] lr: 5.042e-05, eta: 8:00:04, time: 0.276, data_time: 0.063, memory: 36051, decode.loss_ce: 0.5516, decode.acc_seg: 63.0761, aux.loss_ce: 0.2359, aux.acc_seg: 62.2224, loss: 0.7876 +2022-06-18 11:01:04,587 - mmseg - INFO - Iter [29100/160000] lr: 5.040e-05, eta: 7:59:53, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5858, decode.acc_seg: 63.0020, aux.loss_ce: 0.2509, aux.acc_seg: 62.1760, loss: 0.8366 +2022-06-18 11:01:15,263 - mmseg - INFO - Iter [29150/160000] lr: 5.038e-05, eta: 7:59:41, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5720, decode.acc_seg: 63.7012, aux.loss_ce: 0.2415, aux.acc_seg: 62.9403, loss: 0.8135 +2022-06-18 11:01:25,937 - mmseg - INFO - Iter [29200/160000] lr: 5.036e-05, eta: 7:59:28, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5295, decode.acc_seg: 64.4761, aux.loss_ce: 0.2274, aux.acc_seg: 63.6811, loss: 0.7570 +2022-06-18 11:01:36,546 - mmseg - INFO - Iter [29250/160000] lr: 5.034e-05, eta: 7:59:15, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5430, decode.acc_seg: 64.1206, aux.loss_ce: 0.2302, aux.acc_seg: 63.4146, loss: 0.7732 +2022-06-18 11:01:47,270 - mmseg - INFO - Iter [29300/160000] lr: 5.032e-05, eta: 7:59:03, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5519, decode.acc_seg: 64.2449, aux.loss_ce: 0.2372, aux.acc_seg: 63.3715, loss: 0.7891 +2022-06-18 11:01:58,612 - mmseg - INFO - Iter [29350/160000] lr: 5.030e-05, eta: 7:58:54, time: 0.227, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5635, decode.acc_seg: 64.0732, aux.loss_ce: 0.2420, aux.acc_seg: 63.1007, loss: 0.8055 +2022-06-18 11:02:09,610 - mmseg - INFO - Iter [29400/160000] lr: 5.028e-05, eta: 7:58:43, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5453, decode.acc_seg: 63.2747, aux.loss_ce: 0.2321, aux.acc_seg: 62.6516, loss: 0.7774 +2022-06-18 11:02:20,153 - mmseg - INFO - Iter [29450/160000] lr: 5.026e-05, eta: 7:58:30, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5618, decode.acc_seg: 64.5631, aux.loss_ce: 0.2384, aux.acc_seg: 63.9467, loss: 0.8002 +2022-06-18 11:02:30,884 - mmseg - INFO - Iter [29500/160000] lr: 5.024e-05, eta: 7:58:17, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5686, decode.acc_seg: 63.1770, aux.loss_ce: 0.2436, aux.acc_seg: 62.2299, loss: 0.8122 +2022-06-18 11:02:41,670 - mmseg - INFO - Iter [29550/160000] lr: 5.022e-05, eta: 7:58:06, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5695, decode.acc_seg: 64.1570, aux.loss_ce: 0.2451, aux.acc_seg: 63.4488, loss: 0.8146 +2022-06-18 11:02:52,749 - mmseg - INFO - Iter [29600/160000] lr: 5.021e-05, eta: 7:57:55, time: 0.222, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5522, decode.acc_seg: 64.6675, aux.loss_ce: 0.2372, aux.acc_seg: 63.8329, loss: 0.7894 +2022-06-18 11:03:03,341 - mmseg - INFO - Iter [29650/160000] lr: 5.019e-05, eta: 7:57:42, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5476, decode.acc_seg: 64.2021, aux.loss_ce: 0.2364, aux.acc_seg: 63.3956, loss: 0.7839 +2022-06-18 11:03:14,078 - mmseg - INFO - Iter [29700/160000] lr: 5.017e-05, eta: 7:57:30, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5740, decode.acc_seg: 62.7030, aux.loss_ce: 0.2434, aux.acc_seg: 62.2667, loss: 0.8174 +2022-06-18 11:03:24,877 - mmseg - INFO - Iter [29750/160000] lr: 5.015e-05, eta: 7:57:18, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5478, decode.acc_seg: 65.9626, aux.loss_ce: 0.2357, aux.acc_seg: 65.2333, loss: 0.7836 +2022-06-18 11:03:35,681 - mmseg - INFO - Iter [29800/160000] lr: 5.013e-05, eta: 7:57:06, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5750, decode.acc_seg: 64.0129, aux.loss_ce: 0.2414, aux.acc_seg: 63.5971, loss: 0.8164 +2022-06-18 11:03:46,428 - mmseg - INFO - Iter [29850/160000] lr: 5.011e-05, eta: 7:56:54, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5538, decode.acc_seg: 63.3669, aux.loss_ce: 0.2364, aux.acc_seg: 62.8824, loss: 0.7903 +2022-06-18 11:03:56,928 - mmseg - INFO - Iter [29900/160000] lr: 5.009e-05, eta: 7:56:41, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5903, decode.acc_seg: 64.0478, aux.loss_ce: 0.2513, aux.acc_seg: 63.5010, loss: 0.8415 +2022-06-18 11:04:07,375 - mmseg - INFO - Iter [29950/160000] lr: 5.007e-05, eta: 7:56:28, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5747, decode.acc_seg: 63.2219, aux.loss_ce: 0.2457, aux.acc_seg: 62.6496, loss: 0.8204 +2022-06-18 11:04:17,742 - mmseg - INFO - Saving checkpoint at 30000 iterations +2022-06-18 11:04:19,841 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:04:19,841 - mmseg - INFO - Iter [30000/160000] lr: 5.005e-05, eta: 7:56:23, time: 0.249, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5382, decode.acc_seg: 64.8184, aux.loss_ce: 0.2295, aux.acc_seg: 63.8712, loss: 0.7676 +2022-06-18 11:04:30,315 - mmseg - INFO - Iter [30050/160000] lr: 5.003e-05, eta: 7:56:10, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5386, decode.acc_seg: 64.0137, aux.loss_ce: 0.2284, aux.acc_seg: 63.3171, loss: 0.7670 +2022-06-18 11:04:41,102 - mmseg - INFO - Iter [30100/160000] lr: 5.001e-05, eta: 7:55:58, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5468, decode.acc_seg: 63.6970, aux.loss_ce: 0.2346, aux.acc_seg: 62.9261, loss: 0.7815 +2022-06-18 11:04:51,916 - mmseg - INFO - Iter [30150/160000] lr: 4.999e-05, eta: 7:55:46, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5578, decode.acc_seg: 64.6054, aux.loss_ce: 0.2383, aux.acc_seg: 63.8009, loss: 0.7961 +2022-06-18 11:05:02,403 - mmseg - INFO - Iter [30200/160000] lr: 4.997e-05, eta: 7:55:33, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5903, decode.acc_seg: 63.6070, aux.loss_ce: 0.2521, aux.acc_seg: 62.7140, loss: 0.8425 +2022-06-18 11:05:12,961 - mmseg - INFO - Iter [30250/160000] lr: 4.995e-05, eta: 7:55:20, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5694, decode.acc_seg: 62.2028, aux.loss_ce: 0.2438, aux.acc_seg: 61.5021, loss: 0.8132 +2022-06-18 11:05:23,744 - mmseg - INFO - Iter [30300/160000] lr: 4.994e-05, eta: 7:55:08, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5614, decode.acc_seg: 63.7572, aux.loss_ce: 0.2402, aux.acc_seg: 63.2204, loss: 0.8016 +2022-06-18 11:05:36,817 - mmseg - INFO - Iter [30350/160000] lr: 4.992e-05, eta: 7:55:06, time: 0.262, data_time: 0.049, memory: 36051, decode.loss_ce: 0.5500, decode.acc_seg: 64.6065, aux.loss_ce: 0.2344, aux.acc_seg: 63.8571, loss: 0.7845 +2022-06-18 11:05:47,209 - mmseg - INFO - Iter [30400/160000] lr: 4.990e-05, eta: 7:54:53, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5455, decode.acc_seg: 64.9169, aux.loss_ce: 0.2339, aux.acc_seg: 63.9764, loss: 0.7794 +2022-06-18 11:05:57,756 - mmseg - INFO - Iter [30450/160000] lr: 4.988e-05, eta: 7:54:40, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5380, decode.acc_seg: 63.8727, aux.loss_ce: 0.2346, aux.acc_seg: 62.6164, loss: 0.7726 +2022-06-18 11:06:08,334 - mmseg - INFO - Iter [30500/160000] lr: 4.986e-05, eta: 7:54:27, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5596, decode.acc_seg: 64.2480, aux.loss_ce: 0.2405, aux.acc_seg: 63.3816, loss: 0.8001 +2022-06-18 11:06:19,031 - mmseg - INFO - Iter [30550/160000] lr: 4.984e-05, eta: 7:54:15, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5401, decode.acc_seg: 64.5834, aux.loss_ce: 0.2343, aux.acc_seg: 63.5165, loss: 0.7744 +2022-06-18 11:06:29,538 - mmseg - INFO - Iter [30600/160000] lr: 4.982e-05, eta: 7:54:02, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5423, decode.acc_seg: 63.8897, aux.loss_ce: 0.2333, aux.acc_seg: 63.0576, loss: 0.7755 +2022-06-18 11:06:40,541 - mmseg - INFO - Iter [30650/160000] lr: 4.980e-05, eta: 7:53:51, time: 0.220, data_time: 0.008, memory: 36051, decode.loss_ce: 0.5318, decode.acc_seg: 65.1576, aux.loss_ce: 0.2301, aux.acc_seg: 64.2816, loss: 0.7620 +2022-06-18 11:06:51,048 - mmseg - INFO - Iter [30700/160000] lr: 4.978e-05, eta: 7:53:38, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5593, decode.acc_seg: 65.4406, aux.loss_ce: 0.2377, aux.acc_seg: 64.7509, loss: 0.7971 +2022-06-18 11:07:01,818 - mmseg - INFO - Iter [30750/160000] lr: 4.976e-05, eta: 7:53:26, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5552, decode.acc_seg: 63.5737, aux.loss_ce: 0.2387, aux.acc_seg: 62.6960, loss: 0.7940 +2022-06-18 11:07:12,166 - mmseg - INFO - Iter [30800/160000] lr: 4.974e-05, eta: 7:53:12, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5553, decode.acc_seg: 64.2960, aux.loss_ce: 0.2363, aux.acc_seg: 63.6346, loss: 0.7916 +2022-06-18 11:07:22,568 - mmseg - INFO - Iter [30850/160000] lr: 4.972e-05, eta: 7:52:59, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5660, decode.acc_seg: 63.5129, aux.loss_ce: 0.2433, aux.acc_seg: 62.5757, loss: 0.8093 +2022-06-18 11:07:33,531 - mmseg - INFO - Iter [30900/160000] lr: 4.970e-05, eta: 7:52:48, time: 0.219, data_time: 0.008, memory: 36051, decode.loss_ce: 0.5464, decode.acc_seg: 63.8960, aux.loss_ce: 0.2317, aux.acc_seg: 63.2333, loss: 0.7781 +2022-06-18 11:07:44,507 - mmseg - INFO - Iter [30950/160000] lr: 4.969e-05, eta: 7:52:37, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.6050, decode.acc_seg: 61.8751, aux.loss_ce: 0.2592, aux.acc_seg: 61.2974, loss: 0.8642 +2022-06-18 11:07:55,161 - mmseg - INFO - Saving checkpoint at 31000 iterations +2022-06-18 11:07:57,274 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:07:57,274 - mmseg - INFO - Iter [31000/160000] lr: 4.967e-05, eta: 7:52:33, time: 0.255, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5846, decode.acc_seg: 63.9205, aux.loss_ce: 0.2533, aux.acc_seg: 63.0663, loss: 0.8379 +2022-06-18 11:08:08,068 - mmseg - INFO - Iter [31050/160000] lr: 4.965e-05, eta: 7:52:21, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5641, decode.acc_seg: 65.0907, aux.loss_ce: 0.2410, aux.acc_seg: 64.1788, loss: 0.8051 +2022-06-18 11:08:18,639 - mmseg - INFO - Iter [31100/160000] lr: 4.963e-05, eta: 7:52:09, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5487, decode.acc_seg: 64.3570, aux.loss_ce: 0.2349, aux.acc_seg: 63.5069, loss: 0.7836 +2022-06-18 11:08:29,234 - mmseg - INFO - Iter [31150/160000] lr: 4.961e-05, eta: 7:51:56, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5355, decode.acc_seg: 62.7548, aux.loss_ce: 0.2293, aux.acc_seg: 61.9648, loss: 0.7648 +2022-06-18 11:08:39,921 - mmseg - INFO - Iter [31200/160000] lr: 4.959e-05, eta: 7:51:44, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5612, decode.acc_seg: 62.4779, aux.loss_ce: 0.2386, aux.acc_seg: 61.5219, loss: 0.7998 +2022-06-18 11:08:50,614 - mmseg - INFO - Iter [31250/160000] lr: 4.957e-05, eta: 7:51:32, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5671, decode.acc_seg: 63.0263, aux.loss_ce: 0.2408, aux.acc_seg: 62.3454, loss: 0.8079 +2022-06-18 11:09:01,175 - mmseg - INFO - Iter [31300/160000] lr: 4.955e-05, eta: 7:51:19, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5487, decode.acc_seg: 62.7138, aux.loss_ce: 0.2355, aux.acc_seg: 61.9268, loss: 0.7842 +2022-06-18 11:09:11,936 - mmseg - INFO - Iter [31350/160000] lr: 4.953e-05, eta: 7:51:07, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5451, decode.acc_seg: 63.4126, aux.loss_ce: 0.2345, aux.acc_seg: 62.5759, loss: 0.7796 +2022-06-18 11:09:22,622 - mmseg - INFO - Iter [31400/160000] lr: 4.951e-05, eta: 7:50:55, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5765, decode.acc_seg: 62.8537, aux.loss_ce: 0.2475, aux.acc_seg: 62.0910, loss: 0.8240 +2022-06-18 11:09:33,253 - mmseg - INFO - Iter [31450/160000] lr: 4.949e-05, eta: 7:50:42, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5742, decode.acc_seg: 64.2579, aux.loss_ce: 0.2445, aux.acc_seg: 63.2426, loss: 0.8187 +2022-06-18 11:09:44,385 - mmseg - INFO - Iter [31500/160000] lr: 4.947e-05, eta: 7:50:32, time: 0.222, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5745, decode.acc_seg: 63.5373, aux.loss_ce: 0.2465, aux.acc_seg: 62.6379, loss: 0.8209 +2022-06-18 11:09:55,170 - mmseg - INFO - Iter [31550/160000] lr: 4.945e-05, eta: 7:50:20, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5664, decode.acc_seg: 64.0805, aux.loss_ce: 0.2405, aux.acc_seg: 63.2733, loss: 0.8069 +2022-06-18 11:10:08,202 - mmseg - INFO - Iter [31600/160000] lr: 4.944e-05, eta: 7:50:17, time: 0.260, data_time: 0.050, memory: 36051, decode.loss_ce: 0.5239, decode.acc_seg: 65.3530, aux.loss_ce: 0.2241, aux.acc_seg: 64.6718, loss: 0.7480 +2022-06-18 11:10:18,776 - mmseg - INFO - Iter [31650/160000] lr: 4.942e-05, eta: 7:50:05, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5415, decode.acc_seg: 63.7941, aux.loss_ce: 0.2335, aux.acc_seg: 62.9412, loss: 0.7750 +2022-06-18 11:10:29,874 - mmseg - INFO - Iter [31700/160000] lr: 4.940e-05, eta: 7:49:54, time: 0.221, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5341, decode.acc_seg: 65.0147, aux.loss_ce: 0.2305, aux.acc_seg: 64.0285, loss: 0.7646 +2022-06-18 11:10:40,873 - mmseg - INFO - Iter [31750/160000] lr: 4.938e-05, eta: 7:49:43, time: 0.221, data_time: 0.012, memory: 36051, decode.loss_ce: 0.5493, decode.acc_seg: 63.2411, aux.loss_ce: 0.2367, aux.acc_seg: 62.4597, loss: 0.7861 +2022-06-18 11:10:51,571 - mmseg - INFO - Iter [31800/160000] lr: 4.936e-05, eta: 7:49:31, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5510, decode.acc_seg: 64.1494, aux.loss_ce: 0.2341, aux.acc_seg: 63.2178, loss: 0.7851 +2022-06-18 11:11:02,464 - mmseg - INFO - Iter [31850/160000] lr: 4.934e-05, eta: 7:49:20, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5390, decode.acc_seg: 64.5414, aux.loss_ce: 0.2333, aux.acc_seg: 63.7498, loss: 0.7723 +2022-06-18 11:11:12,951 - mmseg - INFO - Iter [31900/160000] lr: 4.932e-05, eta: 7:49:07, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5388, decode.acc_seg: 65.4874, aux.loss_ce: 0.2335, aux.acc_seg: 64.4952, loss: 0.7723 +2022-06-18 11:11:23,606 - mmseg - INFO - Iter [31950/160000] lr: 4.930e-05, eta: 7:48:54, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5493, decode.acc_seg: 65.3935, aux.loss_ce: 0.2356, aux.acc_seg: 64.5809, loss: 0.7849 +2022-06-18 11:11:34,098 - mmseg - INFO - Saving checkpoint at 32000 iterations +2022-06-18 11:11:36,461 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:11:36,462 - mmseg - INFO - Iter [32000/160000] lr: 4.928e-05, eta: 7:48:51, time: 0.257, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5711, decode.acc_seg: 64.1823, aux.loss_ce: 0.2414, aux.acc_seg: 63.4713, loss: 0.8125 +2022-06-18 11:11:54,201 - mmseg - INFO - per class results: +2022-06-18 11:11:54,208 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 71.96 | 84.63 | +| building | 79.4 | 92.26 | +| sky | 93.25 | 96.61 | +| floor | 75.91 | 88.38 | +| tree | 70.38 | 86.39 | +| ceiling | 79.26 | 87.36 | +| road | 79.14 | 87.03 | +| bed | 81.83 | 92.15 | +| windowpane | 56.36 | 72.22 | +| grass | 68.87 | 88.58 | +| cabinet | 50.95 | 65.74 | +| sidewalk | 56.75 | 78.65 | +| person | 71.94 | 90.37 | +| earth | 31.14 | 42.52 | +| door | 31.47 | 41.56 | +| table | 43.88 | 59.27 | +| mountain | 54.21 | 69.7 | +| plant | 47.78 | 57.79 | +| curtain | 66.42 | 79.34 | +| chair | 40.39 | 52.1 | +| car | 76.57 | 88.82 | +| water | 45.6 | 58.63 | +| painting | 59.19 | 78.68 | +| sofa | 52.57 | 77.15 | +| shelf | 36.48 | 51.62 | +| house | 50.88 | 70.05 | +| sea | 55.02 | 84.42 | +| mirror | 54.37 | 68.06 | +| rug | 52.19 | 61.51 | +| field | 27.65 | 36.11 | +| armchair | 21.04 | 27.95 | +| seat | 49.0 | 60.61 | +| fence | 33.45 | 47.8 | +| desk | 33.44 | 46.39 | +| rock | 40.66 | 60.36 | +| wardrobe | 41.73 | 70.7 | +| lamp | 44.56 | 57.41 | +| bathtub | 50.57 | 83.5 | +| railing | 29.28 | 37.76 | +| cushion | 41.88 | 53.24 | +| base | 21.72 | 48.58 | +| box | 15.51 | 22.57 | +| column | 38.17 | 52.7 | +| signboard | 28.35 | 38.61 | +| chest of drawers | 38.03 | 61.1 | +| counter | 30.96 | 52.41 | +| sand | 33.01 | 49.84 | +| sink | 53.9 | 63.04 | +| skyscraper | 55.4 | 64.6 | +| fireplace | 48.61 | 76.21 | +| refrigerator | 51.43 | 77.65 | +| grandstand | 36.74 | 62.35 | +| path | 18.39 | 28.43 | +| stairs | 16.67 | 17.53 | +| runway | 69.84 | 92.79 | +| case | 42.91 | 68.69 | +| pool table | 89.51 | 94.3 | +| pillow | 41.37 | 47.86 | +| screen door | 52.26 | 76.55 | +| stairway | 21.71 | 29.58 | +| river | 11.62 | 17.26 | +| bridge | 40.51 | 62.24 | +| bookcase | 28.24 | 34.25 | +| blind | 32.69 | 40.26 | +| coffee table | 45.5 | 75.45 | +| toilet | 65.62 | 83.81 | +| flower | 28.65 | 43.14 | +| book | 42.58 | 69.98 | +| hill | 12.43 | 16.78 | +| bench | 34.7 | 45.27 | +| countertop | 46.48 | 56.96 | +| stove | 50.55 | 63.94 | +| palm | 38.46 | 45.9 | +| kitchen island | 27.34 | 72.28 | +| computer | 45.93 | 62.98 | +| swivel chair | 31.13 | 53.39 | +| boat | 58.22 | 74.83 | +| bar | 40.72 | 47.12 | +| arcade machine | 33.72 | 37.69 | +| hovel | 9.09 | 10.08 | +| bus | 58.83 | 86.51 | +| towel | 41.79 | 63.74 | +| light | 44.65 | 52.78 | +| truck | 6.7 | 9.1 | +| tower | 13.24 | 20.11 | +| chandelier | 53.84 | 77.37 | +| awning | 22.02 | 29.24 | +| streetlight | 8.4 | 9.88 | +| booth | 45.59 | 62.01 | +| television receiver | 55.69 | 64.61 | +| airplane | 59.32 | 85.32 | +| dirt track | 0.0 | 0.0 | +| apparel | 32.07 | 41.46 | +| pole | 8.37 | 9.89 | +| land | 3.79 | 4.8 | +| bannister | 0.72 | 0.83 | +| escalator | 8.1 | 9.57 | +| ottoman | 22.47 | 28.84 | +| bottle | 4.48 | 4.8 | +| buffet | 20.28 | 23.11 | +| poster | 12.49 | 19.77 | +| stage | 10.0 | 23.96 | +| van | 20.77 | 24.04 | +| ship | 14.58 | 16.11 | +| fountain | 3.9 | 4.73 | +| conveyer belt | 55.13 | 90.59 | +| canopy | 21.79 | 30.75 | +| washer | 55.34 | 69.77 | +| plaything | 11.14 | 21.09 | +| swimming pool | 52.29 | 66.83 | +| stool | 4.84 | 5.6 | +| barrel | 0.0 | 0.0 | +| basket | 18.76 | 22.04 | +| waterfall | 73.23 | 91.91 | +| tent | 63.16 | 99.5 | +| bag | 1.19 | 1.23 | +| minibike | 35.89 | 45.66 | +| cradle | 64.18 | 95.61 | +| oven | 19.28 | 24.09 | +| ball | 0.89 | 0.92 | +| food | 39.65 | 44.87 | +| step | 0.42 | 0.43 | +| tank | 37.16 | 44.13 | +| trade name | 15.76 | 17.07 | +| microwave | 30.63 | 36.74 | +| pot | 29.49 | 38.95 | +| animal | 55.05 | 59.7 | +| bicycle | 34.42 | 57.61 | +| lake | 18.51 | 34.07 | +| dishwasher | 32.25 | 77.16 | +| screen | 42.43 | 92.81 | +| blanket | 1.16 | 1.29 | +| sculpture | 25.64 | 38.15 | +| hood | 39.61 | 51.07 | +| sconce | 20.5 | 21.59 | +| vase | 18.2 | 22.57 | +| traffic light | 9.29 | 13.79 | +| tray | 2.09 | 2.24 | +| ashcan | 24.06 | 32.24 | +| fan | 41.91 | 50.32 | +| pier | 31.89 | 39.9 | +| crt screen | 4.36 | 15.16 | +| plate | 28.84 | 30.55 | +| monitor | 9.84 | 11.26 | +| bulletin board | 19.55 | 24.81 | +| shower | 0.0 | 0.0 | +| radiator | 49.5 | 53.14 | +| glass | 0.0 | 0.0 | +| clock | 4.58 | 5.1 | +| flag | 24.45 | 26.63 | ++---------------------+-------+-------+ +2022-06-18 11:11:54,208 - mmseg - INFO - Summary: +2022-06-18 11:11:54,208 - mmseg - INFO - ++------+-------+-------+ +| aAcc | mIoU | mAcc | ++------+-------+-------+ +| 78.5 | 36.11 | 48.36 | ++------+-------+-------+ +2022-06-18 11:11:54,225 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_16000.pth was removed +2022-06-18 11:11:56,211 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2022-06-18 11:11:56,211 - mmseg - INFO - Best mIoU is 0.3611 at 32000 iter. +2022-06-18 11:11:56,224 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:11:56,224 - mmseg - INFO - Iter(val) [250] aAcc: 0.7850, mIoU: 0.3611, mAcc: 0.4836, IoU.wall: 0.7196, IoU.building: 0.7940, IoU.sky: 0.9325, IoU.floor: 0.7591, IoU.tree: 0.7038, IoU.ceiling: 0.7926, IoU.road: 0.7914, IoU.bed : 0.8183, IoU.windowpane: 0.5636, IoU.grass: 0.6887, IoU.cabinet: 0.5095, IoU.sidewalk: 0.5675, IoU.person: 0.7194, IoU.earth: 0.3114, IoU.door: 0.3147, IoU.table: 0.4388, IoU.mountain: 0.5421, IoU.plant: 0.4778, IoU.curtain: 0.6642, IoU.chair: 0.4039, IoU.car: 0.7657, IoU.water: 0.4560, IoU.painting: 0.5919, IoU.sofa: 0.5257, IoU.shelf: 0.3648, IoU.house: 0.5088, IoU.sea: 0.5502, IoU.mirror: 0.5437, IoU.rug: 0.5219, IoU.field: 0.2765, IoU.armchair: 0.2104, IoU.seat: 0.4900, IoU.fence: 0.3345, IoU.desk: 0.3344, IoU.rock: 0.4066, IoU.wardrobe: 0.4173, IoU.lamp: 0.4456, IoU.bathtub: 0.5057, IoU.railing: 0.2928, IoU.cushion: 0.4188, IoU.base: 0.2172, IoU.box: 0.1551, IoU.column: 0.3817, IoU.signboard: 0.2835, IoU.chest of drawers: 0.3803, IoU.counter: 0.3096, IoU.sand: 0.3301, IoU.sink: 0.5390, IoU.skyscraper: 0.5540, IoU.fireplace: 0.4861, IoU.refrigerator: 0.5143, IoU.grandstand: 0.3674, IoU.path: 0.1839, IoU.stairs: 0.1667, IoU.runway: 0.6984, IoU.case: 0.4291, IoU.pool table: 0.8951, IoU.pillow: 0.4137, IoU.screen door: 0.5226, IoU.stairway: 0.2171, IoU.river: 0.1162, IoU.bridge: 0.4051, IoU.bookcase: 0.2824, IoU.blind: 0.3269, IoU.coffee table: 0.4550, IoU.toilet: 0.6562, IoU.flower: 0.2865, IoU.book: 0.4258, IoU.hill: 0.1243, IoU.bench: 0.3470, IoU.countertop: 0.4648, IoU.stove: 0.5055, IoU.palm: 0.3846, IoU.kitchen island: 0.2734, IoU.computer: 0.4593, IoU.swivel chair: 0.3113, IoU.boat: 0.5822, IoU.bar: 0.4072, IoU.arcade machine: 0.3372, IoU.hovel: 0.0909, IoU.bus: 0.5883, IoU.towel: 0.4179, IoU.light: 0.4465, IoU.truck: 0.0670, IoU.tower: 0.1324, IoU.chandelier: 0.5384, IoU.awning: 0.2202, IoU.streetlight: 0.0840, IoU.booth: 0.4559, IoU.television receiver: 0.5569, IoU.airplane: 0.5932, IoU.dirt track: 0.0000, IoU.apparel: 0.3207, IoU.pole: 0.0837, IoU.land: 0.0379, IoU.bannister: 0.0072, IoU.escalator: 0.0810, IoU.ottoman: 0.2247, IoU.bottle: 0.0448, IoU.buffet: 0.2028, IoU.poster: 0.1249, IoU.stage: 0.1000, IoU.van: 0.2077, IoU.ship: 0.1458, IoU.fountain: 0.0390, IoU.conveyer belt: 0.5513, IoU.canopy: 0.2179, IoU.washer: 0.5534, IoU.plaything: 0.1114, IoU.swimming pool: 0.5229, IoU.stool: 0.0484, IoU.barrel: 0.0000, IoU.basket: 0.1876, IoU.waterfall: 0.7323, IoU.tent: 0.6316, IoU.bag: 0.0119, IoU.minibike: 0.3589, IoU.cradle: 0.6418, IoU.oven: 0.1928, IoU.ball: 0.0089, IoU.food: 0.3965, IoU.step: 0.0042, IoU.tank: 0.3716, IoU.trade name: 0.1576, IoU.microwave: 0.3063, IoU.pot: 0.2949, IoU.animal: 0.5505, IoU.bicycle: 0.3442, IoU.lake: 0.1851, IoU.dishwasher: 0.3225, IoU.screen: 0.4243, IoU.blanket: 0.0116, IoU.sculpture: 0.2564, IoU.hood: 0.3961, IoU.sconce: 0.2050, IoU.vase: 0.1820, IoU.traffic light: 0.0929, IoU.tray: 0.0209, IoU.ashcan: 0.2406, IoU.fan: 0.4191, IoU.pier: 0.3189, IoU.crt screen: 0.0436, IoU.plate: 0.2884, IoU.monitor: 0.0984, IoU.bulletin board: 0.1955, IoU.shower: 0.0000, IoU.radiator: 0.4950, IoU.glass: 0.0000, IoU.clock: 0.0458, IoU.flag: 0.2445, Acc.wall: 0.8463, Acc.building: 0.9226, Acc.sky: 0.9661, Acc.floor: 0.8838, Acc.tree: 0.8639, Acc.ceiling: 0.8736, Acc.road: 0.8703, Acc.bed : 0.9215, Acc.windowpane: 0.7222, Acc.grass: 0.8858, Acc.cabinet: 0.6574, Acc.sidewalk: 0.7865, Acc.person: 0.9037, Acc.earth: 0.4252, Acc.door: 0.4156, Acc.table: 0.5927, Acc.mountain: 0.6970, Acc.plant: 0.5779, Acc.curtain: 0.7934, Acc.chair: 0.5210, Acc.car: 0.8882, Acc.water: 0.5863, Acc.painting: 0.7868, Acc.sofa: 0.7715, Acc.shelf: 0.5162, Acc.house: 0.7005, Acc.sea: 0.8442, Acc.mirror: 0.6806, Acc.rug: 0.6151, Acc.field: 0.3611, Acc.armchair: 0.2795, Acc.seat: 0.6061, Acc.fence: 0.4780, Acc.desk: 0.4639, Acc.rock: 0.6036, Acc.wardrobe: 0.7070, Acc.lamp: 0.5741, Acc.bathtub: 0.8350, Acc.railing: 0.3776, Acc.cushion: 0.5324, Acc.base: 0.4858, Acc.box: 0.2257, Acc.column: 0.5270, Acc.signboard: 0.3861, Acc.chest of drawers: 0.6110, Acc.counter: 0.5241, Acc.sand: 0.4984, Acc.sink: 0.6304, Acc.skyscraper: 0.6460, Acc.fireplace: 0.7621, Acc.refrigerator: 0.7765, Acc.grandstand: 0.6235, Acc.path: 0.2843, Acc.stairs: 0.1753, Acc.runway: 0.9279, Acc.case: 0.6869, Acc.pool table: 0.9430, Acc.pillow: 0.4786, Acc.screen door: 0.7655, Acc.stairway: 0.2958, Acc.river: 0.1726, Acc.bridge: 0.6224, Acc.bookcase: 0.3425, Acc.blind: 0.4026, Acc.coffee table: 0.7545, Acc.toilet: 0.8381, Acc.flower: 0.4314, Acc.book: 0.6998, Acc.hill: 0.1678, Acc.bench: 0.4527, Acc.countertop: 0.5696, Acc.stove: 0.6394, Acc.palm: 0.4590, Acc.kitchen island: 0.7228, Acc.computer: 0.6298, Acc.swivel chair: 0.5339, Acc.boat: 0.7483, Acc.bar: 0.4712, Acc.arcade machine: 0.3769, Acc.hovel: 0.1008, Acc.bus: 0.8651, Acc.towel: 0.6374, Acc.light: 0.5278, Acc.truck: 0.0910, Acc.tower: 0.2011, Acc.chandelier: 0.7737, Acc.awning: 0.2924, Acc.streetlight: 0.0988, Acc.booth: 0.6201, Acc.television receiver: 0.6461, Acc.airplane: 0.8532, Acc.dirt track: 0.0000, Acc.apparel: 0.4146, Acc.pole: 0.0989, Acc.land: 0.0480, Acc.bannister: 0.0083, Acc.escalator: 0.0957, Acc.ottoman: 0.2884, Acc.bottle: 0.0480, Acc.buffet: 0.2311, Acc.poster: 0.1977, Acc.stage: 0.2396, Acc.van: 0.2404, Acc.ship: 0.1611, Acc.fountain: 0.0473, Acc.conveyer belt: 0.9059, Acc.canopy: 0.3075, Acc.washer: 0.6977, Acc.plaything: 0.2109, Acc.swimming pool: 0.6683, Acc.stool: 0.0560, Acc.barrel: 0.0000, Acc.basket: 0.2204, Acc.waterfall: 0.9191, Acc.tent: 0.9950, Acc.bag: 0.0123, Acc.minibike: 0.4566, Acc.cradle: 0.9561, Acc.oven: 0.2409, Acc.ball: 0.0092, Acc.food: 0.4487, Acc.step: 0.0043, Acc.tank: 0.4413, Acc.trade name: 0.1707, Acc.microwave: 0.3674, Acc.pot: 0.3895, Acc.animal: 0.5970, Acc.bicycle: 0.5761, Acc.lake: 0.3407, Acc.dishwasher: 0.7716, Acc.screen: 0.9281, Acc.blanket: 0.0129, Acc.sculpture: 0.3815, Acc.hood: 0.5107, Acc.sconce: 0.2159, Acc.vase: 0.2257, Acc.traffic light: 0.1379, Acc.tray: 0.0224, Acc.ashcan: 0.3224, Acc.fan: 0.5032, Acc.pier: 0.3990, Acc.crt screen: 0.1516, Acc.plate: 0.3055, Acc.monitor: 0.1126, Acc.bulletin board: 0.2481, Acc.shower: 0.0000, Acc.radiator: 0.5314, Acc.glass: 0.0000, Acc.clock: 0.0510, Acc.flag: 0.2663 +2022-06-18 11:12:06,766 - mmseg - INFO - Iter [32050/160000] lr: 4.926e-05, eta: 7:49:57, time: 0.606, data_time: 0.399, memory: 36051, decode.loss_ce: 0.5316, decode.acc_seg: 65.3028, aux.loss_ce: 0.2280, aux.acc_seg: 64.3649, loss: 0.7596 +2022-06-18 11:12:17,095 - mmseg - INFO - Iter [32100/160000] lr: 4.924e-05, eta: 7:49:43, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5404, decode.acc_seg: 65.1896, aux.loss_ce: 0.2312, aux.acc_seg: 64.5408, loss: 0.7715 +2022-06-18 11:12:27,584 - mmseg - INFO - Iter [32150/160000] lr: 4.922e-05, eta: 7:49:30, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5469, decode.acc_seg: 64.5997, aux.loss_ce: 0.2346, aux.acc_seg: 63.7467, loss: 0.7815 +2022-06-18 11:12:38,297 - mmseg - INFO - Iter [32200/160000] lr: 4.920e-05, eta: 7:49:18, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5498, decode.acc_seg: 65.0847, aux.loss_ce: 0.2419, aux.acc_seg: 63.9203, loss: 0.7917 +2022-06-18 11:12:49,013 - mmseg - INFO - Iter [32250/160000] lr: 4.918e-05, eta: 7:49:06, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5454, decode.acc_seg: 64.2139, aux.loss_ce: 0.2370, aux.acc_seg: 62.9190, loss: 0.7824 +2022-06-18 11:12:59,563 - mmseg - INFO - Iter [32300/160000] lr: 4.917e-05, eta: 7:48:53, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5379, decode.acc_seg: 66.4658, aux.loss_ce: 0.2312, aux.acc_seg: 65.6054, loss: 0.7691 +2022-06-18 11:13:10,291 - mmseg - INFO - Iter [32350/160000] lr: 4.915e-05, eta: 7:48:41, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5489, decode.acc_seg: 62.9634, aux.loss_ce: 0.2326, aux.acc_seg: 62.3267, loss: 0.7815 +2022-06-18 11:13:20,817 - mmseg - INFO - Iter [32400/160000] lr: 4.913e-05, eta: 7:48:28, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5472, decode.acc_seg: 63.2710, aux.loss_ce: 0.2350, aux.acc_seg: 62.6099, loss: 0.7822 +2022-06-18 11:13:31,588 - mmseg - INFO - Iter [32450/160000] lr: 4.911e-05, eta: 7:48:16, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5595, decode.acc_seg: 63.8391, aux.loss_ce: 0.2365, aux.acc_seg: 63.1750, loss: 0.7960 +2022-06-18 11:13:42,246 - mmseg - INFO - Iter [32500/160000] lr: 4.909e-05, eta: 7:48:03, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5489, decode.acc_seg: 63.6859, aux.loss_ce: 0.2337, aux.acc_seg: 62.9097, loss: 0.7826 +2022-06-18 11:13:52,701 - mmseg - INFO - Iter [32550/160000] lr: 4.907e-05, eta: 7:47:50, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5605, decode.acc_seg: 64.0602, aux.loss_ce: 0.2431, aux.acc_seg: 63.0371, loss: 0.8036 +2022-06-18 11:14:03,269 - mmseg - INFO - Iter [32600/160000] lr: 4.905e-05, eta: 7:47:37, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5443, decode.acc_seg: 65.1740, aux.loss_ce: 0.2323, aux.acc_seg: 64.3528, loss: 0.7766 +2022-06-18 11:14:13,972 - mmseg - INFO - Iter [32650/160000] lr: 4.903e-05, eta: 7:47:25, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5768, decode.acc_seg: 62.6505, aux.loss_ce: 0.2452, aux.acc_seg: 61.7465, loss: 0.8220 +2022-06-18 11:14:24,607 - mmseg - INFO - Iter [32700/160000] lr: 4.901e-05, eta: 7:47:13, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5630, decode.acc_seg: 63.4317, aux.loss_ce: 0.2414, aux.acc_seg: 62.6353, loss: 0.8044 +2022-06-18 11:14:35,086 - mmseg - INFO - Iter [32750/160000] lr: 4.899e-05, eta: 7:47:00, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5478, decode.acc_seg: 63.2149, aux.loss_ce: 0.2334, aux.acc_seg: 62.3583, loss: 0.7812 +2022-06-18 11:14:45,988 - mmseg - INFO - Iter [32800/160000] lr: 4.897e-05, eta: 7:46:48, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5408, decode.acc_seg: 63.8146, aux.loss_ce: 0.2310, aux.acc_seg: 63.0118, loss: 0.7718 +2022-06-18 11:14:59,375 - mmseg - INFO - Iter [32850/160000] lr: 4.895e-05, eta: 7:46:46, time: 0.268, data_time: 0.066, memory: 36051, decode.loss_ce: 0.5724, decode.acc_seg: 64.3303, aux.loss_ce: 0.2423, aux.acc_seg: 63.6375, loss: 0.8147 +2022-06-18 11:15:10,044 - mmseg - INFO - Iter [32900/160000] lr: 4.893e-05, eta: 7:46:34, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4894, decode.acc_seg: 65.1807, aux.loss_ce: 0.2142, aux.acc_seg: 64.4613, loss: 0.7036 +2022-06-18 11:15:20,678 - mmseg - INFO - Iter [32950/160000] lr: 4.892e-05, eta: 7:46:22, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5454, decode.acc_seg: 63.9174, aux.loss_ce: 0.2332, aux.acc_seg: 63.0419, loss: 0.7786 +2022-06-18 11:15:31,389 - mmseg - INFO - Saving checkpoint at 33000 iterations +2022-06-18 11:15:32,780 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:15:32,780 - mmseg - INFO - Iter [33000/160000] lr: 4.890e-05, eta: 7:46:15, time: 0.242, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5217, decode.acc_seg: 65.0494, aux.loss_ce: 0.2235, aux.acc_seg: 64.4213, loss: 0.7452 +2022-06-18 11:15:43,067 - mmseg - INFO - Iter [33050/160000] lr: 4.888e-05, eta: 7:46:01, time: 0.206, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5080, decode.acc_seg: 64.5543, aux.loss_ce: 0.2184, aux.acc_seg: 63.7614, loss: 0.7265 +2022-06-18 11:15:53,536 - mmseg - INFO - Iter [33100/160000] lr: 4.886e-05, eta: 7:45:48, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5440, decode.acc_seg: 64.4705, aux.loss_ce: 0.2338, aux.acc_seg: 63.8434, loss: 0.7778 +2022-06-18 11:16:04,207 - mmseg - INFO - Iter [33150/160000] lr: 4.884e-05, eta: 7:45:35, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5334, decode.acc_seg: 65.4753, aux.loss_ce: 0.2324, aux.acc_seg: 64.4287, loss: 0.7658 +2022-06-18 11:16:15,003 - mmseg - INFO - Iter [33200/160000] lr: 4.882e-05, eta: 7:45:24, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5385, decode.acc_seg: 64.2009, aux.loss_ce: 0.2313, aux.acc_seg: 63.0992, loss: 0.7698 +2022-06-18 11:16:25,522 - mmseg - INFO - Iter [33250/160000] lr: 4.880e-05, eta: 7:45:11, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5131, decode.acc_seg: 63.8592, aux.loss_ce: 0.2213, aux.acc_seg: 62.9182, loss: 0.7343 +2022-06-18 11:16:36,084 - mmseg - INFO - Iter [33300/160000] lr: 4.878e-05, eta: 7:44:58, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5347, decode.acc_seg: 65.2591, aux.loss_ce: 0.2323, aux.acc_seg: 64.4340, loss: 0.7671 +2022-06-18 11:16:46,888 - mmseg - INFO - Iter [33350/160000] lr: 4.876e-05, eta: 7:44:46, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5162, decode.acc_seg: 65.4343, aux.loss_ce: 0.2227, aux.acc_seg: 64.7934, loss: 0.7389 +2022-06-18 11:16:57,353 - mmseg - INFO - Iter [33400/160000] lr: 4.874e-05, eta: 7:44:33, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5386, decode.acc_seg: 63.5872, aux.loss_ce: 0.2309, aux.acc_seg: 62.7707, loss: 0.7695 +2022-06-18 11:17:07,888 - mmseg - INFO - Iter [33450/160000] lr: 4.872e-05, eta: 7:44:20, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5442, decode.acc_seg: 64.6674, aux.loss_ce: 0.2360, aux.acc_seg: 63.6467, loss: 0.7802 +2022-06-18 11:17:18,397 - mmseg - INFO - Iter [33500/160000] lr: 4.870e-05, eta: 7:44:08, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5757, decode.acc_seg: 63.5285, aux.loss_ce: 0.2461, aux.acc_seg: 62.5384, loss: 0.8218 +2022-06-18 11:17:29,089 - mmseg - INFO - Iter [33550/160000] lr: 4.868e-05, eta: 7:43:55, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5166, decode.acc_seg: 65.4854, aux.loss_ce: 0.2206, aux.acc_seg: 64.7983, loss: 0.7372 +2022-06-18 11:17:39,828 - mmseg - INFO - Iter [33600/160000] lr: 4.867e-05, eta: 7:43:43, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5405, decode.acc_seg: 65.4830, aux.loss_ce: 0.2307, aux.acc_seg: 64.8001, loss: 0.7712 +2022-06-18 11:17:50,295 - mmseg - INFO - Iter [33650/160000] lr: 4.865e-05, eta: 7:43:30, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5703, decode.acc_seg: 64.1490, aux.loss_ce: 0.2438, aux.acc_seg: 63.4449, loss: 0.8141 +2022-06-18 11:18:00,836 - mmseg - INFO - Iter [33700/160000] lr: 4.863e-05, eta: 7:43:18, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5608, decode.acc_seg: 63.7544, aux.loss_ce: 0.2410, aux.acc_seg: 62.9925, loss: 0.8018 +2022-06-18 11:18:11,970 - mmseg - INFO - Iter [33750/160000] lr: 4.861e-05, eta: 7:43:07, time: 0.223, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5586, decode.acc_seg: 64.9242, aux.loss_ce: 0.2398, aux.acc_seg: 64.0566, loss: 0.7983 +2022-06-18 11:18:22,628 - mmseg - INFO - Iter [33800/160000] lr: 4.859e-05, eta: 7:42:55, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5265, decode.acc_seg: 64.3256, aux.loss_ce: 0.2244, aux.acc_seg: 63.7831, loss: 0.7509 +2022-06-18 11:18:33,065 - mmseg - INFO - Iter [33850/160000] lr: 4.857e-05, eta: 7:42:42, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5950, decode.acc_seg: 63.8037, aux.loss_ce: 0.2547, aux.acc_seg: 62.8617, loss: 0.8497 +2022-06-18 11:18:43,693 - mmseg - INFO - Iter [33900/160000] lr: 4.855e-05, eta: 7:42:29, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5550, decode.acc_seg: 63.7465, aux.loss_ce: 0.2377, aux.acc_seg: 62.7328, loss: 0.7927 +2022-06-18 11:18:54,273 - mmseg - INFO - Iter [33950/160000] lr: 4.853e-05, eta: 7:42:17, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5361, decode.acc_seg: 65.1820, aux.loss_ce: 0.2307, aux.acc_seg: 64.3216, loss: 0.7668 +2022-06-18 11:19:04,856 - mmseg - INFO - Saving checkpoint at 34000 iterations +2022-06-18 11:19:07,278 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:19:07,278 - mmseg - INFO - Iter [34000/160000] lr: 4.851e-05, eta: 7:42:13, time: 0.260, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5543, decode.acc_seg: 64.7124, aux.loss_ce: 0.2369, aux.acc_seg: 64.1319, loss: 0.7912 +2022-06-18 11:19:17,815 - mmseg - INFO - Iter [34050/160000] lr: 4.849e-05, eta: 7:42:00, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5563, decode.acc_seg: 64.3838, aux.loss_ce: 0.2400, aux.acc_seg: 63.3687, loss: 0.7963 +2022-06-18 11:19:28,362 - mmseg - INFO - Iter [34100/160000] lr: 4.847e-05, eta: 7:41:48, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5211, decode.acc_seg: 64.3042, aux.loss_ce: 0.2255, aux.acc_seg: 63.4868, loss: 0.7466 +2022-06-18 11:19:41,515 - mmseg - INFO - Iter [34150/160000] lr: 4.845e-05, eta: 7:41:45, time: 0.263, data_time: 0.048, memory: 36051, decode.loss_ce: 0.5198, decode.acc_seg: 64.5796, aux.loss_ce: 0.2225, aux.acc_seg: 63.5761, loss: 0.7423 +2022-06-18 11:19:52,156 - mmseg - INFO - Iter [34200/160000] lr: 4.843e-05, eta: 7:41:32, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5485, decode.acc_seg: 64.4863, aux.loss_ce: 0.2358, aux.acc_seg: 63.8115, loss: 0.7843 +2022-06-18 11:20:02,739 - mmseg - INFO - Iter [34250/160000] lr: 4.841e-05, eta: 7:41:20, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4746, decode.acc_seg: 65.6784, aux.loss_ce: 0.2070, aux.acc_seg: 64.7496, loss: 0.6816 +2022-06-18 11:20:13,042 - mmseg - INFO - Iter [34300/160000] lr: 4.840e-05, eta: 7:41:06, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5132, decode.acc_seg: 66.5224, aux.loss_ce: 0.2196, aux.acc_seg: 65.6342, loss: 0.7328 +2022-06-18 11:20:23,371 - mmseg - INFO - Iter [34350/160000] lr: 4.838e-05, eta: 7:40:53, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4863, decode.acc_seg: 66.6946, aux.loss_ce: 0.2104, aux.acc_seg: 65.8908, loss: 0.6967 +2022-06-18 11:20:33,974 - mmseg - INFO - Iter [34400/160000] lr: 4.836e-05, eta: 7:40:40, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5309, decode.acc_seg: 65.1377, aux.loss_ce: 0.2281, aux.acc_seg: 64.5241, loss: 0.7591 +2022-06-18 11:20:44,983 - mmseg - INFO - Iter [34450/160000] lr: 4.834e-05, eta: 7:40:29, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5177, decode.acc_seg: 62.9951, aux.loss_ce: 0.2232, aux.acc_seg: 62.2093, loss: 0.7409 +2022-06-18 11:20:55,138 - mmseg - INFO - Iter [34500/160000] lr: 4.832e-05, eta: 7:40:15, time: 0.203, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5412, decode.acc_seg: 65.8753, aux.loss_ce: 0.2302, aux.acc_seg: 65.1752, loss: 0.7714 +2022-06-18 11:21:05,629 - mmseg - INFO - Iter [34550/160000] lr: 4.830e-05, eta: 7:40:02, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5283, decode.acc_seg: 64.3477, aux.loss_ce: 0.2321, aux.acc_seg: 63.4259, loss: 0.7604 +2022-06-18 11:21:16,368 - mmseg - INFO - Iter [34600/160000] lr: 4.828e-05, eta: 7:39:50, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5671, decode.acc_seg: 63.4381, aux.loss_ce: 0.2452, aux.acc_seg: 62.5210, loss: 0.8123 +2022-06-18 11:21:26,869 - mmseg - INFO - Iter [34650/160000] lr: 4.826e-05, eta: 7:39:37, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5473, decode.acc_seg: 63.6594, aux.loss_ce: 0.2361, aux.acc_seg: 62.8618, loss: 0.7834 +2022-06-18 11:21:37,515 - mmseg - INFO - Iter [34700/160000] lr: 4.824e-05, eta: 7:39:25, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5225, decode.acc_seg: 66.0827, aux.loss_ce: 0.2233, aux.acc_seg: 65.3606, loss: 0.7458 +2022-06-18 11:21:48,309 - mmseg - INFO - Iter [34750/160000] lr: 4.822e-05, eta: 7:39:13, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5416, decode.acc_seg: 65.0517, aux.loss_ce: 0.2353, aux.acc_seg: 64.0335, loss: 0.7769 +2022-06-18 11:21:58,988 - mmseg - INFO - Iter [34800/160000] lr: 4.820e-05, eta: 7:39:01, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5303, decode.acc_seg: 65.1440, aux.loss_ce: 0.2281, aux.acc_seg: 64.0840, loss: 0.7584 +2022-06-18 11:22:09,446 - mmseg - INFO - Iter [34850/160000] lr: 4.818e-05, eta: 7:38:48, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5146, decode.acc_seg: 66.3877, aux.loss_ce: 0.2213, aux.acc_seg: 65.6142, loss: 0.7359 +2022-06-18 11:22:19,928 - mmseg - INFO - Iter [34900/160000] lr: 4.816e-05, eta: 7:38:35, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5693, decode.acc_seg: 63.1458, aux.loss_ce: 0.2447, aux.acc_seg: 62.3568, loss: 0.8140 +2022-06-18 11:22:30,985 - mmseg - INFO - Iter [34950/160000] lr: 4.815e-05, eta: 7:38:25, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4951, decode.acc_seg: 66.3068, aux.loss_ce: 0.2154, aux.acc_seg: 65.1891, loss: 0.7106 +2022-06-18 11:22:41,380 - mmseg - INFO - Saving checkpoint at 35000 iterations +2022-06-18 11:22:43,437 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:22:43,437 - mmseg - INFO - Iter [35000/160000] lr: 4.813e-05, eta: 7:38:19, time: 0.249, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5184, decode.acc_seg: 64.5144, aux.loss_ce: 0.2207, aux.acc_seg: 64.0701, loss: 0.7391 +2022-06-18 11:22:53,760 - mmseg - INFO - Iter [35050/160000] lr: 4.811e-05, eta: 7:38:05, time: 0.206, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5001, decode.acc_seg: 65.5134, aux.loss_ce: 0.2161, aux.acc_seg: 64.5547, loss: 0.7162 +2022-06-18 11:23:04,340 - mmseg - INFO - Iter [35100/160000] lr: 4.809e-05, eta: 7:37:53, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5546, decode.acc_seg: 65.9109, aux.loss_ce: 0.2418, aux.acc_seg: 64.8453, loss: 0.7964 +2022-06-18 11:23:15,111 - mmseg - INFO - Iter [35150/160000] lr: 4.807e-05, eta: 7:37:41, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5602, decode.acc_seg: 64.3665, aux.loss_ce: 0.2408, aux.acc_seg: 63.6953, loss: 0.8011 +2022-06-18 11:23:25,757 - mmseg - INFO - Iter [35200/160000] lr: 4.805e-05, eta: 7:37:29, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5134, decode.acc_seg: 63.7934, aux.loss_ce: 0.2199, aux.acc_seg: 63.0965, loss: 0.7333 +2022-06-18 11:23:36,366 - mmseg - INFO - Iter [35250/160000] lr: 4.803e-05, eta: 7:37:16, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5246, decode.acc_seg: 64.1927, aux.loss_ce: 0.2251, aux.acc_seg: 63.3184, loss: 0.7497 +2022-06-18 11:23:46,882 - mmseg - INFO - Iter [35300/160000] lr: 4.801e-05, eta: 7:37:04, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5288, decode.acc_seg: 63.9057, aux.loss_ce: 0.2260, aux.acc_seg: 63.1902, loss: 0.7548 +2022-06-18 11:23:57,688 - mmseg - INFO - Iter [35350/160000] lr: 4.799e-05, eta: 7:36:52, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5137, decode.acc_seg: 64.9920, aux.loss_ce: 0.2208, aux.acc_seg: 64.1231, loss: 0.7346 +2022-06-18 11:24:12,572 - mmseg - INFO - Iter [35400/160000] lr: 4.797e-05, eta: 7:36:55, time: 0.298, data_time: 0.049, memory: 36051, decode.loss_ce: 0.5318, decode.acc_seg: 64.7505, aux.loss_ce: 0.2271, aux.acc_seg: 63.8282, loss: 0.7589 +2022-06-18 11:24:23,452 - mmseg - INFO - Iter [35450/160000] lr: 4.795e-05, eta: 7:36:43, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5109, decode.acc_seg: 63.9250, aux.loss_ce: 0.2221, aux.acc_seg: 62.9797, loss: 0.7330 +2022-06-18 11:24:34,134 - mmseg - INFO - Iter [35500/160000] lr: 4.793e-05, eta: 7:36:31, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5021, decode.acc_seg: 65.2325, aux.loss_ce: 0.2177, aux.acc_seg: 64.5020, loss: 0.7198 +2022-06-18 11:24:45,060 - mmseg - INFO - Iter [35550/160000] lr: 4.791e-05, eta: 7:36:20, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5043, decode.acc_seg: 67.2728, aux.loss_ce: 0.2178, aux.acc_seg: 66.4286, loss: 0.7221 +2022-06-18 11:24:55,940 - mmseg - INFO - Iter [35600/160000] lr: 4.790e-05, eta: 7:36:08, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5077, decode.acc_seg: 65.7392, aux.loss_ce: 0.2172, aux.acc_seg: 65.0582, loss: 0.7250 +2022-06-18 11:25:06,670 - mmseg - INFO - Iter [35650/160000] lr: 4.788e-05, eta: 7:35:57, time: 0.216, data_time: 0.006, memory: 36051, decode.loss_ce: 0.4935, decode.acc_seg: 67.5085, aux.loss_ce: 0.2148, aux.acc_seg: 66.5955, loss: 0.7083 +2022-06-18 11:25:17,211 - mmseg - INFO - Iter [35700/160000] lr: 4.786e-05, eta: 7:35:44, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4977, decode.acc_seg: 64.8720, aux.loss_ce: 0.2157, aux.acc_seg: 63.9938, loss: 0.7133 +2022-06-18 11:25:27,729 - mmseg - INFO - Iter [35750/160000] lr: 4.784e-05, eta: 7:35:31, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5165, decode.acc_seg: 64.7861, aux.loss_ce: 0.2264, aux.acc_seg: 63.6283, loss: 0.7429 +2022-06-18 11:25:38,242 - mmseg - INFO - Iter [35800/160000] lr: 4.782e-05, eta: 7:35:19, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5210, decode.acc_seg: 65.0847, aux.loss_ce: 0.2252, aux.acc_seg: 63.9629, loss: 0.7462 +2022-06-18 11:25:48,833 - mmseg - INFO - Iter [35850/160000] lr: 4.780e-05, eta: 7:35:06, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5269, decode.acc_seg: 64.6764, aux.loss_ce: 0.2274, aux.acc_seg: 63.6124, loss: 0.7543 +2022-06-18 11:25:59,374 - mmseg - INFO - Iter [35900/160000] lr: 4.778e-05, eta: 7:34:54, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5004, decode.acc_seg: 63.0171, aux.loss_ce: 0.2139, aux.acc_seg: 62.1477, loss: 0.7143 +2022-06-18 11:26:10,082 - mmseg - INFO - Iter [35950/160000] lr: 4.776e-05, eta: 7:34:42, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4860, decode.acc_seg: 64.5753, aux.loss_ce: 0.2110, aux.acc_seg: 63.6025, loss: 0.6969 +2022-06-18 11:26:20,810 - mmseg - INFO - Saving checkpoint at 36000 iterations +2022-06-18 11:26:22,889 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:26:22,890 - mmseg - INFO - Iter [36000/160000] lr: 4.774e-05, eta: 7:34:37, time: 0.256, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5258, decode.acc_seg: 63.4814, aux.loss_ce: 0.2292, aux.acc_seg: 62.4792, loss: 0.7550 +2022-06-18 11:26:33,714 - mmseg - INFO - Iter [36050/160000] lr: 4.772e-05, eta: 7:34:25, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5760, decode.acc_seg: 62.3232, aux.loss_ce: 0.2436, aux.acc_seg: 61.7129, loss: 0.8196 +2022-06-18 11:26:44,370 - mmseg - INFO - Iter [36100/160000] lr: 4.770e-05, eta: 7:34:13, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5151, decode.acc_seg: 65.3678, aux.loss_ce: 0.2276, aux.acc_seg: 64.1160, loss: 0.7427 +2022-06-18 11:26:54,944 - mmseg - INFO - Iter [36150/160000] lr: 4.768e-05, eta: 7:34:01, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5042, decode.acc_seg: 64.9457, aux.loss_ce: 0.2173, aux.acc_seg: 64.0459, loss: 0.7215 +2022-06-18 11:27:05,627 - mmseg - INFO - Iter [36200/160000] lr: 4.766e-05, eta: 7:33:49, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5372, decode.acc_seg: 64.7746, aux.loss_ce: 0.2319, aux.acc_seg: 63.6840, loss: 0.7692 +2022-06-18 11:27:16,151 - mmseg - INFO - Iter [36250/160000] lr: 4.764e-05, eta: 7:33:36, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5304, decode.acc_seg: 63.9406, aux.loss_ce: 0.2293, aux.acc_seg: 63.1682, loss: 0.7597 +2022-06-18 11:27:26,945 - mmseg - INFO - Iter [36300/160000] lr: 4.763e-05, eta: 7:33:24, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5256, decode.acc_seg: 65.9052, aux.loss_ce: 0.2274, aux.acc_seg: 65.3153, loss: 0.7530 +2022-06-18 11:27:37,322 - mmseg - INFO - Iter [36350/160000] lr: 4.761e-05, eta: 7:33:11, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5123, decode.acc_seg: 64.7208, aux.loss_ce: 0.2210, aux.acc_seg: 63.7453, loss: 0.7332 +2022-06-18 11:27:47,808 - mmseg - INFO - Iter [36400/160000] lr: 4.759e-05, eta: 7:32:58, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4939, decode.acc_seg: 66.7149, aux.loss_ce: 0.2138, aux.acc_seg: 65.8122, loss: 0.7077 +2022-06-18 11:27:58,302 - mmseg - INFO - Iter [36450/160000] lr: 4.757e-05, eta: 7:32:46, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5192, decode.acc_seg: 65.7015, aux.loss_ce: 0.2280, aux.acc_seg: 64.4320, loss: 0.7472 +2022-06-18 11:28:09,010 - mmseg - INFO - Iter [36500/160000] lr: 4.755e-05, eta: 7:32:34, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5540, decode.acc_seg: 63.8587, aux.loss_ce: 0.2360, aux.acc_seg: 63.2276, loss: 0.7901 +2022-06-18 11:28:19,661 - mmseg - INFO - Iter [36550/160000] lr: 4.753e-05, eta: 7:32:22, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5561, decode.acc_seg: 64.1727, aux.loss_ce: 0.2407, aux.acc_seg: 63.1156, loss: 0.7967 +2022-06-18 11:28:30,460 - mmseg - INFO - Iter [36600/160000] lr: 4.751e-05, eta: 7:32:10, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5202, decode.acc_seg: 64.5305, aux.loss_ce: 0.2248, aux.acc_seg: 63.8060, loss: 0.7450 +2022-06-18 11:28:43,317 - mmseg - INFO - Iter [36650/160000] lr: 4.749e-05, eta: 7:32:05, time: 0.257, data_time: 0.049, memory: 36051, decode.loss_ce: 0.5196, decode.acc_seg: 65.6971, aux.loss_ce: 0.2234, aux.acc_seg: 64.6074, loss: 0.7430 +2022-06-18 11:28:53,957 - mmseg - INFO - Iter [36700/160000] lr: 4.747e-05, eta: 7:31:53, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4890, decode.acc_seg: 64.7242, aux.loss_ce: 0.2129, aux.acc_seg: 63.7074, loss: 0.7019 +2022-06-18 11:29:04,716 - mmseg - INFO - Iter [36750/160000] lr: 4.745e-05, eta: 7:31:41, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4932, decode.acc_seg: 65.0379, aux.loss_ce: 0.2153, aux.acc_seg: 64.3523, loss: 0.7085 +2022-06-18 11:29:15,780 - mmseg - INFO - Iter [36800/160000] lr: 4.743e-05, eta: 7:31:31, time: 0.222, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4878, decode.acc_seg: 65.8700, aux.loss_ce: 0.2108, aux.acc_seg: 65.2717, loss: 0.6986 +2022-06-18 11:29:26,539 - mmseg - INFO - Iter [36850/160000] lr: 4.741e-05, eta: 7:31:19, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5166, decode.acc_seg: 65.0669, aux.loss_ce: 0.2231, aux.acc_seg: 64.3062, loss: 0.7397 +2022-06-18 11:29:37,238 - mmseg - INFO - Iter [36900/160000] lr: 4.739e-05, eta: 7:31:07, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5163, decode.acc_seg: 65.5774, aux.loss_ce: 0.2227, aux.acc_seg: 64.8831, loss: 0.7390 +2022-06-18 11:29:47,736 - mmseg - INFO - Iter [36950/160000] lr: 4.738e-05, eta: 7:30:54, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5206, decode.acc_seg: 65.0326, aux.loss_ce: 0.2253, aux.acc_seg: 64.4633, loss: 0.7459 +2022-06-18 11:29:58,289 - mmseg - INFO - Saving checkpoint at 37000 iterations +2022-06-18 11:30:00,294 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:30:00,295 - mmseg - INFO - Iter [37000/160000] lr: 4.736e-05, eta: 7:30:48, time: 0.251, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5195, decode.acc_seg: 64.3381, aux.loss_ce: 0.2233, aux.acc_seg: 63.6030, loss: 0.7428 +2022-06-18 11:30:10,896 - mmseg - INFO - Iter [37050/160000] lr: 4.734e-05, eta: 7:30:36, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4976, decode.acc_seg: 65.5077, aux.loss_ce: 0.2152, aux.acc_seg: 64.7051, loss: 0.7128 +2022-06-18 11:30:21,504 - mmseg - INFO - Iter [37100/160000] lr: 4.732e-05, eta: 7:30:24, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4913, decode.acc_seg: 65.7373, aux.loss_ce: 0.2133, aux.acc_seg: 64.7874, loss: 0.7045 +2022-06-18 11:30:32,312 - mmseg - INFO - Iter [37150/160000] lr: 4.730e-05, eta: 7:30:12, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5360, decode.acc_seg: 65.2317, aux.loss_ce: 0.2291, aux.acc_seg: 64.4965, loss: 0.7651 +2022-06-18 11:30:42,867 - mmseg - INFO - Iter [37200/160000] lr: 4.728e-05, eta: 7:30:00, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5279, decode.acc_seg: 63.7869, aux.loss_ce: 0.2266, aux.acc_seg: 63.0728, loss: 0.7544 +2022-06-18 11:30:53,488 - mmseg - INFO - Iter [37250/160000] lr: 4.726e-05, eta: 7:29:48, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5083, decode.acc_seg: 66.0731, aux.loss_ce: 0.2188, aux.acc_seg: 65.1779, loss: 0.7270 +2022-06-18 11:31:03,894 - mmseg - INFO - Iter [37300/160000] lr: 4.724e-05, eta: 7:29:35, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5309, decode.acc_seg: 65.3056, aux.loss_ce: 0.2272, aux.acc_seg: 64.3929, loss: 0.7581 +2022-06-18 11:31:14,640 - mmseg - INFO - Iter [37350/160000] lr: 4.722e-05, eta: 7:29:23, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5176, decode.acc_seg: 65.4527, aux.loss_ce: 0.2226, aux.acc_seg: 64.6047, loss: 0.7402 +2022-06-18 11:31:25,568 - mmseg - INFO - Iter [37400/160000] lr: 4.720e-05, eta: 7:29:12, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5495, decode.acc_seg: 65.0424, aux.loss_ce: 0.2359, aux.acc_seg: 64.3303, loss: 0.7854 +2022-06-18 11:31:36,301 - mmseg - INFO - Iter [37450/160000] lr: 4.718e-05, eta: 7:29:00, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5213, decode.acc_seg: 63.3616, aux.loss_ce: 0.2268, aux.acc_seg: 62.4934, loss: 0.7482 +2022-06-18 11:31:46,779 - mmseg - INFO - Iter [37500/160000] lr: 4.716e-05, eta: 7:28:47, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5444, decode.acc_seg: 63.5628, aux.loss_ce: 0.2345, aux.acc_seg: 62.7066, loss: 0.7789 +2022-06-18 11:31:57,401 - mmseg - INFO - Iter [37550/160000] lr: 4.714e-05, eta: 7:28:35, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4966, decode.acc_seg: 66.5558, aux.loss_ce: 0.2146, aux.acc_seg: 65.6079, loss: 0.7112 +2022-06-18 11:32:08,148 - mmseg - INFO - Iter [37600/160000] lr: 4.713e-05, eta: 7:28:23, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5367, decode.acc_seg: 64.3850, aux.loss_ce: 0.2321, aux.acc_seg: 63.4841, loss: 0.7688 +2022-06-18 11:32:19,036 - mmseg - INFO - Iter [37650/160000] lr: 4.711e-05, eta: 7:28:12, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5290, decode.acc_seg: 65.0683, aux.loss_ce: 0.2275, aux.acc_seg: 64.3886, loss: 0.7565 +2022-06-18 11:32:29,696 - mmseg - INFO - Iter [37700/160000] lr: 4.709e-05, eta: 7:28:00, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5058, decode.acc_seg: 65.1999, aux.loss_ce: 0.2182, aux.acc_seg: 64.5364, loss: 0.7241 +2022-06-18 11:32:40,477 - mmseg - INFO - Iter [37750/160000] lr: 4.707e-05, eta: 7:27:48, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5213, decode.acc_seg: 63.8477, aux.loss_ce: 0.2259, aux.acc_seg: 63.0108, loss: 0.7471 +2022-06-18 11:32:51,048 - mmseg - INFO - Iter [37800/160000] lr: 4.705e-05, eta: 7:27:36, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5196, decode.acc_seg: 64.8554, aux.loss_ce: 0.2249, aux.acc_seg: 63.9407, loss: 0.7446 +2022-06-18 11:33:01,976 - mmseg - INFO - Iter [37850/160000] lr: 4.703e-05, eta: 7:27:25, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5151, decode.acc_seg: 63.8222, aux.loss_ce: 0.2216, aux.acc_seg: 63.0642, loss: 0.7367 +2022-06-18 11:33:15,007 - mmseg - INFO - Iter [37900/160000] lr: 4.701e-05, eta: 7:27:20, time: 0.261, data_time: 0.049, memory: 36051, decode.loss_ce: 0.5112, decode.acc_seg: 65.0630, aux.loss_ce: 0.2217, aux.acc_seg: 64.1687, loss: 0.7329 +2022-06-18 11:33:25,378 - mmseg - INFO - Iter [37950/160000] lr: 4.699e-05, eta: 7:27:07, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4961, decode.acc_seg: 65.2732, aux.loss_ce: 0.2176, aux.acc_seg: 64.2689, loss: 0.7137 +2022-06-18 11:33:35,726 - mmseg - INFO - Saving checkpoint at 38000 iterations +2022-06-18 11:33:37,761 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:33:37,761 - mmseg - INFO - Iter [38000/160000] lr: 4.697e-05, eta: 7:27:01, time: 0.248, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5126, decode.acc_seg: 66.3770, aux.loss_ce: 0.2207, aux.acc_seg: 65.6245, loss: 0.7334 +2022-06-18 11:33:48,288 - mmseg - INFO - Iter [38050/160000] lr: 4.695e-05, eta: 7:26:48, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4936, decode.acc_seg: 65.9496, aux.loss_ce: 0.2125, aux.acc_seg: 65.0908, loss: 0.7061 +2022-06-18 11:33:58,845 - mmseg - INFO - Iter [38100/160000] lr: 4.693e-05, eta: 7:26:36, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4823, decode.acc_seg: 65.9346, aux.loss_ce: 0.2101, aux.acc_seg: 65.2192, loss: 0.6924 +2022-06-18 11:34:09,282 - mmseg - INFO - Iter [38150/160000] lr: 4.691e-05, eta: 7:26:23, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4985, decode.acc_seg: 63.8886, aux.loss_ce: 0.2149, aux.acc_seg: 63.0795, loss: 0.7134 +2022-06-18 11:34:19,940 - mmseg - INFO - Iter [38200/160000] lr: 4.689e-05, eta: 7:26:11, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4714, decode.acc_seg: 66.4881, aux.loss_ce: 0.2005, aux.acc_seg: 66.0393, loss: 0.6719 +2022-06-18 11:34:30,746 - mmseg - INFO - Iter [38250/160000] lr: 4.687e-05, eta: 7:25:59, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4983, decode.acc_seg: 65.0180, aux.loss_ce: 0.2163, aux.acc_seg: 64.1822, loss: 0.7146 +2022-06-18 11:34:41,099 - mmseg - INFO - Iter [38300/160000] lr: 4.686e-05, eta: 7:25:46, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5098, decode.acc_seg: 65.5329, aux.loss_ce: 0.2200, aux.acc_seg: 64.7374, loss: 0.7299 +2022-06-18 11:34:51,595 - mmseg - INFO - Iter [38350/160000] lr: 4.684e-05, eta: 7:25:34, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4894, decode.acc_seg: 64.9242, aux.loss_ce: 0.2150, aux.acc_seg: 63.9954, loss: 0.7045 +2022-06-18 11:35:02,137 - mmseg - INFO - Iter [38400/160000] lr: 4.682e-05, eta: 7:25:21, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4843, decode.acc_seg: 64.9072, aux.loss_ce: 0.2117, aux.acc_seg: 63.9220, loss: 0.6960 +2022-06-18 11:35:12,943 - mmseg - INFO - Iter [38450/160000] lr: 4.680e-05, eta: 7:25:10, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4719, decode.acc_seg: 65.6125, aux.loss_ce: 0.2066, aux.acc_seg: 64.8154, loss: 0.6785 +2022-06-18 11:35:23,336 - mmseg - INFO - Iter [38500/160000] lr: 4.678e-05, eta: 7:24:57, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5180, decode.acc_seg: 64.0567, aux.loss_ce: 0.2229, aux.acc_seg: 63.3135, loss: 0.7409 +2022-06-18 11:35:34,012 - mmseg - INFO - Iter [38550/160000] lr: 4.676e-05, eta: 7:24:45, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4519, decode.acc_seg: 66.0512, aux.loss_ce: 0.1984, aux.acc_seg: 65.0943, loss: 0.6504 +2022-06-18 11:35:44,397 - mmseg - INFO - Iter [38600/160000] lr: 4.674e-05, eta: 7:24:32, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5056, decode.acc_seg: 64.9900, aux.loss_ce: 0.2190, aux.acc_seg: 64.2887, loss: 0.7246 +2022-06-18 11:35:54,818 - mmseg - INFO - Iter [38650/160000] lr: 4.672e-05, eta: 7:24:19, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4927, decode.acc_seg: 65.7579, aux.loss_ce: 0.2135, aux.acc_seg: 64.7378, loss: 0.7063 +2022-06-18 11:36:05,573 - mmseg - INFO - Iter [38700/160000] lr: 4.670e-05, eta: 7:24:08, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4912, decode.acc_seg: 65.3313, aux.loss_ce: 0.2149, aux.acc_seg: 64.3900, loss: 0.7061 +2022-06-18 11:36:16,397 - mmseg - INFO - Iter [38750/160000] lr: 4.668e-05, eta: 7:23:56, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5044, decode.acc_seg: 65.4020, aux.loss_ce: 0.2182, aux.acc_seg: 64.5970, loss: 0.7227 +2022-06-18 11:36:26,993 - mmseg - INFO - Iter [38800/160000] lr: 4.666e-05, eta: 7:23:44, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5251, decode.acc_seg: 65.2888, aux.loss_ce: 0.2312, aux.acc_seg: 64.0608, loss: 0.7563 +2022-06-18 11:36:37,656 - mmseg - INFO - Iter [38850/160000] lr: 4.664e-05, eta: 7:23:32, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5044, decode.acc_seg: 65.4355, aux.loss_ce: 0.2181, aux.acc_seg: 64.1835, loss: 0.7225 +2022-06-18 11:36:48,438 - mmseg - INFO - Iter [38900/160000] lr: 4.662e-05, eta: 7:23:20, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5058, decode.acc_seg: 64.1640, aux.loss_ce: 0.2193, aux.acc_seg: 63.1829, loss: 0.7251 +2022-06-18 11:36:58,802 - mmseg - INFO - Iter [38950/160000] lr: 4.661e-05, eta: 7:23:07, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5228, decode.acc_seg: 65.3537, aux.loss_ce: 0.2273, aux.acc_seg: 64.3730, loss: 0.7500 +2022-06-18 11:37:09,515 - mmseg - INFO - Saving checkpoint at 39000 iterations +2022-06-18 11:37:11,551 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:37:11,551 - mmseg - INFO - Iter [39000/160000] lr: 4.659e-05, eta: 7:23:02, time: 0.255, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5160, decode.acc_seg: 64.6168, aux.loss_ce: 0.2235, aux.acc_seg: 63.5348, loss: 0.7395 +2022-06-18 11:37:22,268 - mmseg - INFO - Iter [39050/160000] lr: 4.657e-05, eta: 7:22:50, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5089, decode.acc_seg: 65.1701, aux.loss_ce: 0.2190, aux.acc_seg: 64.3077, loss: 0.7279 +2022-06-18 11:37:33,015 - mmseg - INFO - Iter [39100/160000] lr: 4.655e-05, eta: 7:22:38, time: 0.217, data_time: 0.006, memory: 36051, decode.loss_ce: 0.5037, decode.acc_seg: 65.6737, aux.loss_ce: 0.2168, aux.acc_seg: 64.6868, loss: 0.7205 +2022-06-18 11:37:43,544 - mmseg - INFO - Iter [39150/160000] lr: 4.653e-05, eta: 7:22:26, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5162, decode.acc_seg: 64.7878, aux.loss_ce: 0.2254, aux.acc_seg: 63.7824, loss: 0.7415 +2022-06-18 11:37:56,940 - mmseg - INFO - Iter [39200/160000] lr: 4.651e-05, eta: 7:22:22, time: 0.268, data_time: 0.052, memory: 36051, decode.loss_ce: 0.5065, decode.acc_seg: 64.8373, aux.loss_ce: 0.2193, aux.acc_seg: 64.0363, loss: 0.7258 +2022-06-18 11:38:07,990 - mmseg - INFO - Iter [39250/160000] lr: 4.649e-05, eta: 7:22:12, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5032, decode.acc_seg: 65.3365, aux.loss_ce: 0.2178, aux.acc_seg: 64.3867, loss: 0.7210 +2022-06-18 11:38:18,990 - mmseg - INFO - Iter [39300/160000] lr: 4.647e-05, eta: 7:22:01, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4902, decode.acc_seg: 66.7686, aux.loss_ce: 0.2153, aux.acc_seg: 65.6203, loss: 0.7055 +2022-06-18 11:38:29,779 - mmseg - INFO - Iter [39350/160000] lr: 4.645e-05, eta: 7:21:49, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4741, decode.acc_seg: 65.9496, aux.loss_ce: 0.2085, aux.acc_seg: 64.9481, loss: 0.6826 +2022-06-18 11:38:40,330 - mmseg - INFO - Iter [39400/160000] lr: 4.643e-05, eta: 7:21:37, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4848, decode.acc_seg: 64.6995, aux.loss_ce: 0.2106, aux.acc_seg: 63.7561, loss: 0.6954 +2022-06-18 11:38:51,053 - mmseg - INFO - Iter [39450/160000] lr: 4.641e-05, eta: 7:21:25, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5065, decode.acc_seg: 65.3053, aux.loss_ce: 0.2182, aux.acc_seg: 64.3248, loss: 0.7248 +2022-06-18 11:39:01,799 - mmseg - INFO - Iter [39500/160000] lr: 4.639e-05, eta: 7:21:13, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4796, decode.acc_seg: 66.8905, aux.loss_ce: 0.2097, aux.acc_seg: 65.8544, loss: 0.6893 +2022-06-18 11:39:12,251 - mmseg - INFO - Iter [39550/160000] lr: 4.637e-05, eta: 7:21:01, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5312, decode.acc_seg: 65.8964, aux.loss_ce: 0.2274, aux.acc_seg: 65.1475, loss: 0.7586 +2022-06-18 11:39:22,844 - mmseg - INFO - Iter [39600/160000] lr: 4.636e-05, eta: 7:20:49, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4896, decode.acc_seg: 65.8185, aux.loss_ce: 0.2117, aux.acc_seg: 64.8503, loss: 0.7013 +2022-06-18 11:39:33,682 - mmseg - INFO - Iter [39650/160000] lr: 4.634e-05, eta: 7:20:37, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5268, decode.acc_seg: 63.7668, aux.loss_ce: 0.2268, aux.acc_seg: 63.0876, loss: 0.7536 +2022-06-18 11:39:44,303 - mmseg - INFO - Iter [39700/160000] lr: 4.632e-05, eta: 7:20:25, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5072, decode.acc_seg: 65.8036, aux.loss_ce: 0.2199, aux.acc_seg: 65.0927, loss: 0.7271 +2022-06-18 11:39:54,711 - mmseg - INFO - Iter [39750/160000] lr: 4.630e-05, eta: 7:20:12, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4759, decode.acc_seg: 67.0255, aux.loss_ce: 0.2053, aux.acc_seg: 66.3484, loss: 0.6812 +2022-06-18 11:40:05,484 - mmseg - INFO - Iter [39800/160000] lr: 4.628e-05, eta: 7:20:01, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4955, decode.acc_seg: 66.5554, aux.loss_ce: 0.2168, aux.acc_seg: 65.4465, loss: 0.7123 +2022-06-18 11:40:15,926 - mmseg - INFO - Iter [39850/160000] lr: 4.626e-05, eta: 7:19:48, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5210, decode.acc_seg: 65.7849, aux.loss_ce: 0.2267, aux.acc_seg: 64.6217, loss: 0.7477 +2022-06-18 11:40:27,044 - mmseg - INFO - Iter [39900/160000] lr: 4.624e-05, eta: 7:19:37, time: 0.222, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5232, decode.acc_seg: 65.2727, aux.loss_ce: 0.2280, aux.acc_seg: 64.3567, loss: 0.7512 +2022-06-18 11:40:37,568 - mmseg - INFO - Iter [39950/160000] lr: 4.622e-05, eta: 7:19:25, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5267, decode.acc_seg: 65.3452, aux.loss_ce: 0.2298, aux.acc_seg: 64.3674, loss: 0.7565 +2022-06-18 11:40:48,054 - mmseg - INFO - Saving checkpoint at 40000 iterations +2022-06-18 11:40:50,155 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:40:50,155 - mmseg - INFO - Iter [40000/160000] lr: 4.620e-05, eta: 7:19:19, time: 0.252, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4949, decode.acc_seg: 65.7295, aux.loss_ce: 0.2148, aux.acc_seg: 64.8372, loss: 0.7097 +2022-06-18 11:41:00,580 - mmseg - INFO - Iter [40050/160000] lr: 4.618e-05, eta: 7:19:06, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5047, decode.acc_seg: 65.0852, aux.loss_ce: 0.2203, aux.acc_seg: 64.2987, loss: 0.7249 +2022-06-18 11:41:11,133 - mmseg - INFO - Iter [40100/160000] lr: 4.616e-05, eta: 7:18:54, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5275, decode.acc_seg: 64.5946, aux.loss_ce: 0.2229, aux.acc_seg: 63.9267, loss: 0.7504 +2022-06-18 11:41:21,717 - mmseg - INFO - Iter [40150/160000] lr: 4.614e-05, eta: 7:18:42, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4983, decode.acc_seg: 66.1346, aux.loss_ce: 0.2153, aux.acc_seg: 65.2535, loss: 0.7136 +2022-06-18 11:41:32,442 - mmseg - INFO - Iter [40200/160000] lr: 4.612e-05, eta: 7:18:30, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4997, decode.acc_seg: 66.4873, aux.loss_ce: 0.2170, aux.acc_seg: 65.5386, loss: 0.7167 +2022-06-18 11:41:42,825 - mmseg - INFO - Iter [40250/160000] lr: 4.610e-05, eta: 7:18:17, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5293, decode.acc_seg: 65.6147, aux.loss_ce: 0.2285, aux.acc_seg: 64.6655, loss: 0.7577 +2022-06-18 11:41:53,535 - mmseg - INFO - Iter [40300/160000] lr: 4.609e-05, eta: 7:18:06, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4777, decode.acc_seg: 65.6799, aux.loss_ce: 0.2074, aux.acc_seg: 64.8085, loss: 0.6852 +2022-06-18 11:42:04,261 - mmseg - INFO - Iter [40350/160000] lr: 4.607e-05, eta: 7:17:54, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5318, decode.acc_seg: 66.8195, aux.loss_ce: 0.2276, aux.acc_seg: 66.0417, loss: 0.7595 +2022-06-18 11:42:14,707 - mmseg - INFO - Iter [40400/160000] lr: 4.605e-05, eta: 7:17:41, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5248, decode.acc_seg: 63.2990, aux.loss_ce: 0.2264, aux.acc_seg: 62.6652, loss: 0.7511 +2022-06-18 11:42:30,128 - mmseg - INFO - Iter [40450/160000] lr: 4.603e-05, eta: 7:17:43, time: 0.308, data_time: 0.050, memory: 36051, decode.loss_ce: 0.5159, decode.acc_seg: 64.7139, aux.loss_ce: 0.2218, aux.acc_seg: 63.9285, loss: 0.7377 +2022-06-18 11:42:40,904 - mmseg - INFO - Iter [40500/160000] lr: 4.601e-05, eta: 7:17:32, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4667, decode.acc_seg: 66.2178, aux.loss_ce: 0.2056, aux.acc_seg: 65.1369, loss: 0.6722 +2022-06-18 11:42:51,295 - mmseg - INFO - Iter [40550/160000] lr: 4.599e-05, eta: 7:17:19, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4659, decode.acc_seg: 66.2806, aux.loss_ce: 0.2039, aux.acc_seg: 65.3534, loss: 0.6698 +2022-06-18 11:43:01,756 - mmseg - INFO - Iter [40600/160000] lr: 4.597e-05, eta: 7:17:07, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4776, decode.acc_seg: 66.1726, aux.loss_ce: 0.2088, aux.acc_seg: 65.1274, loss: 0.6864 +2022-06-18 11:43:12,590 - mmseg - INFO - Iter [40650/160000] lr: 4.595e-05, eta: 7:16:55, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4955, decode.acc_seg: 65.1776, aux.loss_ce: 0.2183, aux.acc_seg: 63.9634, loss: 0.7138 +2022-06-18 11:43:23,248 - mmseg - INFO - Iter [40700/160000] lr: 4.593e-05, eta: 7:16:43, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4903, decode.acc_seg: 65.2674, aux.loss_ce: 0.2145, aux.acc_seg: 64.2180, loss: 0.7047 +2022-06-18 11:43:34,116 - mmseg - INFO - Iter [40750/160000] lr: 4.591e-05, eta: 7:16:32, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4623, decode.acc_seg: 65.9653, aux.loss_ce: 0.1982, aux.acc_seg: 65.2681, loss: 0.6605 +2022-06-18 11:43:44,637 - mmseg - INFO - Iter [40800/160000] lr: 4.589e-05, eta: 7:16:20, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4744, decode.acc_seg: 66.4973, aux.loss_ce: 0.2072, aux.acc_seg: 65.5317, loss: 0.6816 +2022-06-18 11:43:55,161 - mmseg - INFO - Iter [40850/160000] lr: 4.587e-05, eta: 7:16:07, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4592, decode.acc_seg: 64.3515, aux.loss_ce: 0.1989, aux.acc_seg: 63.7327, loss: 0.6580 +2022-06-18 11:44:05,784 - mmseg - INFO - Iter [40900/160000] lr: 4.585e-05, eta: 7:15:55, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4779, decode.acc_seg: 65.3312, aux.loss_ce: 0.2095, aux.acc_seg: 64.2397, loss: 0.6873 +2022-06-18 11:44:16,468 - mmseg - INFO - Iter [40950/160000] lr: 4.584e-05, eta: 7:15:43, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4677, decode.acc_seg: 65.8544, aux.loss_ce: 0.2029, aux.acc_seg: 64.9646, loss: 0.6706 +2022-06-18 11:44:27,172 - mmseg - INFO - Saving checkpoint at 41000 iterations +2022-06-18 11:44:29,242 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:44:29,242 - mmseg - INFO - Iter [41000/160000] lr: 4.582e-05, eta: 7:15:38, time: 0.256, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4887, decode.acc_seg: 66.1479, aux.loss_ce: 0.2129, aux.acc_seg: 65.2381, loss: 0.7015 +2022-06-18 11:44:40,193 - mmseg - INFO - Iter [41050/160000] lr: 4.580e-05, eta: 7:15:27, time: 0.219, data_time: 0.005, memory: 36051, decode.loss_ce: 0.5089, decode.acc_seg: 64.4263, aux.loss_ce: 0.2204, aux.acc_seg: 63.6664, loss: 0.7293 +2022-06-18 11:44:50,832 - mmseg - INFO - Iter [41100/160000] lr: 4.578e-05, eta: 7:15:15, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5241, decode.acc_seg: 65.9738, aux.loss_ce: 0.2249, aux.acc_seg: 65.0796, loss: 0.7490 +2022-06-18 11:45:01,574 - mmseg - INFO - Iter [41150/160000] lr: 4.576e-05, eta: 7:15:03, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5043, decode.acc_seg: 65.0661, aux.loss_ce: 0.2181, aux.acc_seg: 64.0975, loss: 0.7224 +2022-06-18 11:45:12,223 - mmseg - INFO - Iter [41200/160000] lr: 4.574e-05, eta: 7:14:51, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4551, decode.acc_seg: 66.8602, aux.loss_ce: 0.1982, aux.acc_seg: 66.1413, loss: 0.6533 +2022-06-18 11:45:22,991 - mmseg - INFO - Iter [41250/160000] lr: 4.572e-05, eta: 7:14:39, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4908, decode.acc_seg: 67.1106, aux.loss_ce: 0.2123, aux.acc_seg: 66.4142, loss: 0.7031 +2022-06-18 11:45:33,650 - mmseg - INFO - Iter [41300/160000] lr: 4.570e-05, eta: 7:14:27, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4799, decode.acc_seg: 66.0467, aux.loss_ce: 0.2068, aux.acc_seg: 65.4368, loss: 0.6867 +2022-06-18 11:45:44,032 - mmseg - INFO - Iter [41350/160000] lr: 4.568e-05, eta: 7:14:15, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4941, decode.acc_seg: 64.7194, aux.loss_ce: 0.2152, aux.acc_seg: 63.7269, loss: 0.7093 +2022-06-18 11:45:54,539 - mmseg - INFO - Iter [41400/160000] lr: 4.566e-05, eta: 7:14:02, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5223, decode.acc_seg: 64.9683, aux.loss_ce: 0.2272, aux.acc_seg: 64.0557, loss: 0.7495 +2022-06-18 11:46:05,049 - mmseg - INFO - Iter [41450/160000] lr: 4.564e-05, eta: 7:13:50, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4987, decode.acc_seg: 66.3616, aux.loss_ce: 0.2215, aux.acc_seg: 64.9833, loss: 0.7202 +2022-06-18 11:46:15,677 - mmseg - INFO - Iter [41500/160000] lr: 4.562e-05, eta: 7:13:38, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4961, decode.acc_seg: 65.0164, aux.loss_ce: 0.2141, aux.acc_seg: 64.2916, loss: 0.7102 +2022-06-18 11:46:26,474 - mmseg - INFO - Iter [41550/160000] lr: 4.560e-05, eta: 7:13:27, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5149, decode.acc_seg: 65.5503, aux.loss_ce: 0.2231, aux.acc_seg: 64.6963, loss: 0.7381 +2022-06-18 11:46:36,837 - mmseg - INFO - Iter [41600/160000] lr: 4.559e-05, eta: 7:13:14, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5262, decode.acc_seg: 65.6314, aux.loss_ce: 0.2253, aux.acc_seg: 64.6611, loss: 0.7515 +2022-06-18 11:46:48,072 - mmseg - INFO - Iter [41650/160000] lr: 4.557e-05, eta: 7:13:04, time: 0.225, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4847, decode.acc_seg: 66.6527, aux.loss_ce: 0.2108, aux.acc_seg: 65.9372, loss: 0.6955 +2022-06-18 11:47:01,023 - mmseg - INFO - Iter [41700/160000] lr: 4.555e-05, eta: 7:12:58, time: 0.259, data_time: 0.049, memory: 36051, decode.loss_ce: 0.5173, decode.acc_seg: 65.7734, aux.loss_ce: 0.2239, aux.acc_seg: 64.5541, loss: 0.7412 +2022-06-18 11:47:11,808 - mmseg - INFO - Iter [41750/160000] lr: 4.553e-05, eta: 7:12:47, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4818, decode.acc_seg: 66.5041, aux.loss_ce: 0.2088, aux.acc_seg: 65.6261, loss: 0.6906 +2022-06-18 11:47:22,388 - mmseg - INFO - Iter [41800/160000] lr: 4.551e-05, eta: 7:12:35, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4625, decode.acc_seg: 66.7445, aux.loss_ce: 0.2031, aux.acc_seg: 65.8706, loss: 0.6656 +2022-06-18 11:47:32,914 - mmseg - INFO - Iter [41850/160000] lr: 4.549e-05, eta: 7:12:22, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4885, decode.acc_seg: 65.8867, aux.loss_ce: 0.2141, aux.acc_seg: 64.8971, loss: 0.7026 +2022-06-18 11:47:43,803 - mmseg - INFO - Iter [41900/160000] lr: 4.547e-05, eta: 7:12:11, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4740, decode.acc_seg: 66.8493, aux.loss_ce: 0.2070, aux.acc_seg: 66.0103, loss: 0.6810 +2022-06-18 11:47:54,333 - mmseg - INFO - Iter [41950/160000] lr: 4.545e-05, eta: 7:11:59, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4700, decode.acc_seg: 65.1399, aux.loss_ce: 0.2070, aux.acc_seg: 64.0684, loss: 0.6770 +2022-06-18 11:48:05,026 - mmseg - INFO - Saving checkpoint at 42000 iterations +2022-06-18 11:48:07,117 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:48:07,117 - mmseg - INFO - Iter [42000/160000] lr: 4.543e-05, eta: 7:11:53, time: 0.256, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4606, decode.acc_seg: 65.1590, aux.loss_ce: 0.2016, aux.acc_seg: 64.1690, loss: 0.6622 +2022-06-18 11:48:17,648 - mmseg - INFO - Iter [42050/160000] lr: 4.541e-05, eta: 7:11:41, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4793, decode.acc_seg: 64.1930, aux.loss_ce: 0.2080, aux.acc_seg: 63.5030, loss: 0.6873 +2022-06-18 11:48:27,937 - mmseg - INFO - Iter [42100/160000] lr: 4.539e-05, eta: 7:11:28, time: 0.206, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4555, decode.acc_seg: 65.9909, aux.loss_ce: 0.2009, aux.acc_seg: 65.0901, loss: 0.6564 +2022-06-18 11:48:38,544 - mmseg - INFO - Iter [42150/160000] lr: 4.537e-05, eta: 7:11:16, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5214, decode.acc_seg: 65.9587, aux.loss_ce: 0.2226, aux.acc_seg: 65.1642, loss: 0.7440 +2022-06-18 11:48:48,939 - mmseg - INFO - Iter [42200/160000] lr: 4.535e-05, eta: 7:11:03, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4847, decode.acc_seg: 66.2773, aux.loss_ce: 0.2112, aux.acc_seg: 65.0206, loss: 0.6959 +2022-06-18 11:48:59,401 - mmseg - INFO - Iter [42250/160000] lr: 4.533e-05, eta: 7:10:51, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4926, decode.acc_seg: 65.4175, aux.loss_ce: 0.2168, aux.acc_seg: 64.2605, loss: 0.7094 +2022-06-18 11:49:10,522 - mmseg - INFO - Iter [42300/160000] lr: 4.532e-05, eta: 7:10:40, time: 0.222, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5459, decode.acc_seg: 65.3370, aux.loss_ce: 0.2385, aux.acc_seg: 64.1726, loss: 0.7844 +2022-06-18 11:49:21,181 - mmseg - INFO - Iter [42350/160000] lr: 4.530e-05, eta: 7:10:28, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5230, decode.acc_seg: 65.9772, aux.loss_ce: 0.2262, aux.acc_seg: 65.1969, loss: 0.7491 +2022-06-18 11:49:32,025 - mmseg - INFO - Iter [42400/160000] lr: 4.528e-05, eta: 7:10:17, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4950, decode.acc_seg: 67.5636, aux.loss_ce: 0.2151, aux.acc_seg: 66.3748, loss: 0.7101 +2022-06-18 11:49:43,022 - mmseg - INFO - Iter [42450/160000] lr: 4.526e-05, eta: 7:10:06, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4795, decode.acc_seg: 65.6166, aux.loss_ce: 0.2077, aux.acc_seg: 64.8841, loss: 0.6872 +2022-06-18 11:49:53,544 - mmseg - INFO - Iter [42500/160000] lr: 4.524e-05, eta: 7:09:54, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4938, decode.acc_seg: 64.2366, aux.loss_ce: 0.2140, aux.acc_seg: 63.6889, loss: 0.7078 +2022-06-18 11:50:04,352 - mmseg - INFO - Iter [42550/160000] lr: 4.522e-05, eta: 7:09:42, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4845, decode.acc_seg: 65.9376, aux.loss_ce: 0.2128, aux.acc_seg: 64.9681, loss: 0.6973 +2022-06-18 11:50:15,215 - mmseg - INFO - Iter [42600/160000] lr: 4.520e-05, eta: 7:09:31, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4807, decode.acc_seg: 66.5988, aux.loss_ce: 0.2100, aux.acc_seg: 65.5073, loss: 0.6906 +2022-06-18 11:50:25,956 - mmseg - INFO - Iter [42650/160000] lr: 4.518e-05, eta: 7:09:19, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5099, decode.acc_seg: 64.6347, aux.loss_ce: 0.2201, aux.acc_seg: 63.7437, loss: 0.7300 +2022-06-18 11:50:36,976 - mmseg - INFO - Iter [42700/160000] lr: 4.516e-05, eta: 7:09:09, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4910, decode.acc_seg: 64.4905, aux.loss_ce: 0.2128, aux.acc_seg: 63.6104, loss: 0.7039 +2022-06-18 11:50:47,488 - mmseg - INFO - Iter [42750/160000] lr: 4.514e-05, eta: 7:08:56, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4897, decode.acc_seg: 65.2390, aux.loss_ce: 0.2111, aux.acc_seg: 64.3643, loss: 0.7009 +2022-06-18 11:50:58,216 - mmseg - INFO - Iter [42800/160000] lr: 4.512e-05, eta: 7:08:45, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5131, decode.acc_seg: 64.8052, aux.loss_ce: 0.2233, aux.acc_seg: 64.0194, loss: 0.7364 +2022-06-18 11:51:08,697 - mmseg - INFO - Iter [42850/160000] lr: 4.510e-05, eta: 7:08:32, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4822, decode.acc_seg: 66.4499, aux.loss_ce: 0.2100, aux.acc_seg: 65.7246, loss: 0.6922 +2022-06-18 11:51:19,624 - mmseg - INFO - Iter [42900/160000] lr: 4.508e-05, eta: 7:08:21, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5377, decode.acc_seg: 66.6370, aux.loss_ce: 0.2327, aux.acc_seg: 65.6379, loss: 0.7705 +2022-06-18 11:51:32,250 - mmseg - INFO - Iter [42950/160000] lr: 4.507e-05, eta: 7:08:15, time: 0.253, data_time: 0.050, memory: 36051, decode.loss_ce: 0.5204, decode.acc_seg: 65.2712, aux.loss_ce: 0.2275, aux.acc_seg: 64.2580, loss: 0.7479 +2022-06-18 11:51:42,906 - mmseg - INFO - Saving checkpoint at 43000 iterations +2022-06-18 11:51:45,308 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:51:45,309 - mmseg - INFO - Iter [43000/160000] lr: 4.505e-05, eta: 7:08:10, time: 0.261, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4981, decode.acc_seg: 64.9424, aux.loss_ce: 0.2154, aux.acc_seg: 64.1144, loss: 0.7135 +2022-06-18 11:51:55,910 - mmseg - INFO - Iter [43050/160000] lr: 4.503e-05, eta: 7:07:57, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4826, decode.acc_seg: 65.6796, aux.loss_ce: 0.2119, aux.acc_seg: 64.4858, loss: 0.6945 +2022-06-18 11:52:06,433 - mmseg - INFO - Iter [43100/160000] lr: 4.501e-05, eta: 7:07:45, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4951, decode.acc_seg: 65.4290, aux.loss_ce: 0.2182, aux.acc_seg: 64.3113, loss: 0.7133 +2022-06-18 11:52:17,044 - mmseg - INFO - Iter [43150/160000] lr: 4.499e-05, eta: 7:07:33, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5119, decode.acc_seg: 64.7818, aux.loss_ce: 0.2222, aux.acc_seg: 63.8612, loss: 0.7340 +2022-06-18 11:52:28,157 - mmseg - INFO - Iter [43200/160000] lr: 4.497e-05, eta: 7:07:23, time: 0.223, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4964, decode.acc_seg: 64.3055, aux.loss_ce: 0.2178, aux.acc_seg: 63.3134, loss: 0.7142 +2022-06-18 11:52:38,962 - mmseg - INFO - Iter [43250/160000] lr: 4.495e-05, eta: 7:07:11, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4802, decode.acc_seg: 65.8515, aux.loss_ce: 0.2113, aux.acc_seg: 64.7694, loss: 0.6915 +2022-06-18 11:52:49,718 - mmseg - INFO - Iter [43300/160000] lr: 4.493e-05, eta: 7:07:00, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4767, decode.acc_seg: 66.2944, aux.loss_ce: 0.2107, aux.acc_seg: 65.2034, loss: 0.6874 +2022-06-18 11:53:00,365 - mmseg - INFO - Iter [43350/160000] lr: 4.491e-05, eta: 7:06:48, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4725, decode.acc_seg: 67.1022, aux.loss_ce: 0.2057, aux.acc_seg: 66.1712, loss: 0.6783 +2022-06-18 11:53:11,141 - mmseg - INFO - Iter [43400/160000] lr: 4.489e-05, eta: 7:06:36, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4376, decode.acc_seg: 65.9469, aux.loss_ce: 0.1930, aux.acc_seg: 64.8887, loss: 0.6307 +2022-06-18 11:53:21,944 - mmseg - INFO - Iter [43450/160000] lr: 4.487e-05, eta: 7:06:25, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4661, decode.acc_seg: 65.7456, aux.loss_ce: 0.2042, aux.acc_seg: 64.7208, loss: 0.6703 +2022-06-18 11:53:32,566 - mmseg - INFO - Iter [43500/160000] lr: 4.485e-05, eta: 7:06:13, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5100, decode.acc_seg: 64.9794, aux.loss_ce: 0.2206, aux.acc_seg: 64.0962, loss: 0.7307 +2022-06-18 11:53:43,231 - mmseg - INFO - Iter [43550/160000] lr: 4.483e-05, eta: 7:06:01, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4962, decode.acc_seg: 65.6693, aux.loss_ce: 0.2165, aux.acc_seg: 64.8681, loss: 0.7127 +2022-06-18 11:53:54,142 - mmseg - INFO - Iter [43600/160000] lr: 4.482e-05, eta: 7:05:50, time: 0.218, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4666, decode.acc_seg: 66.2847, aux.loss_ce: 0.2040, aux.acc_seg: 65.4942, loss: 0.6706 +2022-06-18 11:54:05,047 - mmseg - INFO - Iter [43650/160000] lr: 4.480e-05, eta: 7:05:39, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4735, decode.acc_seg: 67.0316, aux.loss_ce: 0.2072, aux.acc_seg: 65.9324, loss: 0.6807 +2022-06-18 11:54:16,001 - mmseg - INFO - Iter [43700/160000] lr: 4.478e-05, eta: 7:05:28, time: 0.219, data_time: 0.010, memory: 36051, decode.loss_ce: 0.4709, decode.acc_seg: 65.5550, aux.loss_ce: 0.2042, aux.acc_seg: 64.7567, loss: 0.6751 +2022-06-18 11:54:26,743 - mmseg - INFO - Iter [43750/160000] lr: 4.476e-05, eta: 7:05:16, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4900, decode.acc_seg: 65.5630, aux.loss_ce: 0.2137, aux.acc_seg: 64.6219, loss: 0.7036 +2022-06-18 11:54:37,497 - mmseg - INFO - Iter [43800/160000] lr: 4.474e-05, eta: 7:05:05, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5214, decode.acc_seg: 66.2276, aux.loss_ce: 0.2238, aux.acc_seg: 65.3160, loss: 0.7453 +2022-06-18 11:54:48,494 - mmseg - INFO - Iter [43850/160000] lr: 4.472e-05, eta: 7:04:54, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5063, decode.acc_seg: 64.8008, aux.loss_ce: 0.2207, aux.acc_seg: 63.9196, loss: 0.7270 +2022-06-18 11:54:59,559 - mmseg - INFO - Iter [43900/160000] lr: 4.470e-05, eta: 7:04:43, time: 0.221, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5043, decode.acc_seg: 66.3572, aux.loss_ce: 0.2180, aux.acc_seg: 65.4426, loss: 0.7223 +2022-06-18 11:55:10,188 - mmseg - INFO - Iter [43950/160000] lr: 4.468e-05, eta: 7:04:31, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4596, decode.acc_seg: 65.7433, aux.loss_ce: 0.1999, aux.acc_seg: 64.9504, loss: 0.6595 +2022-06-18 11:55:20,915 - mmseg - INFO - Saving checkpoint at 44000 iterations +2022-06-18 11:55:23,570 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:55:23,571 - mmseg - INFO - Iter [44000/160000] lr: 4.466e-05, eta: 7:04:26, time: 0.268, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4946, decode.acc_seg: 65.1915, aux.loss_ce: 0.2111, aux.acc_seg: 64.3952, loss: 0.7058 +2022-06-18 11:55:34,896 - mmseg - INFO - Iter [44050/160000] lr: 4.464e-05, eta: 7:04:16, time: 0.226, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4811, decode.acc_seg: 65.5497, aux.loss_ce: 0.2137, aux.acc_seg: 64.4492, loss: 0.6948 +2022-06-18 11:55:45,501 - mmseg - INFO - Iter [44100/160000] lr: 4.462e-05, eta: 7:04:04, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5003, decode.acc_seg: 65.8153, aux.loss_ce: 0.2173, aux.acc_seg: 65.0456, loss: 0.7176 +2022-06-18 11:55:55,938 - mmseg - INFO - Iter [44150/160000] lr: 4.460e-05, eta: 7:03:52, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5322, decode.acc_seg: 65.4683, aux.loss_ce: 0.2311, aux.acc_seg: 64.4929, loss: 0.7634 +2022-06-18 11:56:06,554 - mmseg - INFO - Iter [44200/160000] lr: 4.458e-05, eta: 7:03:40, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.5060, decode.acc_seg: 66.5311, aux.loss_ce: 0.2217, aux.acc_seg: 65.4701, loss: 0.7277 +2022-06-18 11:56:20,774 - mmseg - INFO - Iter [44250/160000] lr: 4.456e-05, eta: 7:03:38, time: 0.284, data_time: 0.052, memory: 36051, decode.loss_ce: 0.4551, decode.acc_seg: 66.5206, aux.loss_ce: 0.1995, aux.acc_seg: 65.6164, loss: 0.6546 +2022-06-18 11:56:31,445 - mmseg - INFO - Iter [44300/160000] lr: 4.455e-05, eta: 7:03:26, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4798, decode.acc_seg: 65.8541, aux.loss_ce: 0.2090, aux.acc_seg: 64.9723, loss: 0.6888 +2022-06-18 11:56:41,942 - mmseg - INFO - Iter [44350/160000] lr: 4.453e-05, eta: 7:03:14, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4844, decode.acc_seg: 66.2313, aux.loss_ce: 0.2107, aux.acc_seg: 65.1954, loss: 0.6952 +2022-06-18 11:56:52,495 - mmseg - INFO - Iter [44400/160000] lr: 4.451e-05, eta: 7:03:02, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4686, decode.acc_seg: 67.1736, aux.loss_ce: 0.2070, aux.acc_seg: 66.1509, loss: 0.6756 +2022-06-18 11:57:03,321 - mmseg - INFO - Iter [44450/160000] lr: 4.449e-05, eta: 7:02:50, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4787, decode.acc_seg: 65.7158, aux.loss_ce: 0.2100, aux.acc_seg: 64.8155, loss: 0.6887 +2022-06-18 11:57:13,925 - mmseg - INFO - Iter [44500/160000] lr: 4.447e-05, eta: 7:02:38, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4960, decode.acc_seg: 64.6158, aux.loss_ce: 0.2141, aux.acc_seg: 63.7032, loss: 0.7102 +2022-06-18 11:57:24,290 - mmseg - INFO - Iter [44550/160000] lr: 4.445e-05, eta: 7:02:26, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4800, decode.acc_seg: 65.4240, aux.loss_ce: 0.2099, aux.acc_seg: 64.4413, loss: 0.6899 +2022-06-18 11:57:35,572 - mmseg - INFO - Iter [44600/160000] lr: 4.443e-05, eta: 7:02:15, time: 0.226, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4637, decode.acc_seg: 66.6199, aux.loss_ce: 0.2063, aux.acc_seg: 65.2286, loss: 0.6700 +2022-06-18 11:57:46,043 - mmseg - INFO - Iter [44650/160000] lr: 4.441e-05, eta: 7:02:03, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4660, decode.acc_seg: 66.7724, aux.loss_ce: 0.2031, aux.acc_seg: 65.7503, loss: 0.6691 +2022-06-18 11:57:56,694 - mmseg - INFO - Iter [44700/160000] lr: 4.439e-05, eta: 7:01:51, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4833, decode.acc_seg: 65.3167, aux.loss_ce: 0.2085, aux.acc_seg: 64.5073, loss: 0.6918 +2022-06-18 11:58:07,427 - mmseg - INFO - Iter [44750/160000] lr: 4.437e-05, eta: 7:01:40, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4590, decode.acc_seg: 66.6366, aux.loss_ce: 0.2043, aux.acc_seg: 65.5079, loss: 0.6633 +2022-06-18 11:58:18,182 - mmseg - INFO - Iter [44800/160000] lr: 4.435e-05, eta: 7:01:28, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4859, decode.acc_seg: 66.5521, aux.loss_ce: 0.2147, aux.acc_seg: 65.5102, loss: 0.7006 +2022-06-18 11:58:28,939 - mmseg - INFO - Iter [44850/160000] lr: 4.433e-05, eta: 7:01:17, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4641, decode.acc_seg: 65.4420, aux.loss_ce: 0.2036, aux.acc_seg: 64.5664, loss: 0.6676 +2022-06-18 11:58:39,974 - mmseg - INFO - Iter [44900/160000] lr: 4.431e-05, eta: 7:01:06, time: 0.221, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4793, decode.acc_seg: 66.6731, aux.loss_ce: 0.2089, aux.acc_seg: 65.7681, loss: 0.6882 +2022-06-18 11:58:50,726 - mmseg - INFO - Iter [44950/160000] lr: 4.430e-05, eta: 7:00:54, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4639, decode.acc_seg: 66.8817, aux.loss_ce: 0.2035, aux.acc_seg: 66.0543, loss: 0.6674 +2022-06-18 11:59:01,619 - mmseg - INFO - Saving checkpoint at 45000 iterations +2022-06-18 11:59:03,600 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 11:59:03,600 - mmseg - INFO - Iter [45000/160000] lr: 4.428e-05, eta: 7:00:48, time: 0.258, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4570, decode.acc_seg: 65.8061, aux.loss_ce: 0.1998, aux.acc_seg: 64.6932, loss: 0.6567 +2022-06-18 11:59:14,549 - mmseg - INFO - Iter [45050/160000] lr: 4.426e-05, eta: 7:00:37, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4790, decode.acc_seg: 65.5326, aux.loss_ce: 0.2069, aux.acc_seg: 64.7481, loss: 0.6859 +2022-06-18 11:59:25,104 - mmseg - INFO - Iter [45100/160000] lr: 4.424e-05, eta: 7:00:25, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4875, decode.acc_seg: 66.6920, aux.loss_ce: 0.2128, aux.acc_seg: 65.8025, loss: 0.7002 +2022-06-18 11:59:35,916 - mmseg - INFO - Iter [45150/160000] lr: 4.422e-05, eta: 7:00:14, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4771, decode.acc_seg: 67.5679, aux.loss_ce: 0.2077, aux.acc_seg: 66.5158, loss: 0.6848 +2022-06-18 11:59:46,298 - mmseg - INFO - Iter [45200/160000] lr: 4.420e-05, eta: 7:00:01, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4575, decode.acc_seg: 67.4974, aux.loss_ce: 0.1985, aux.acc_seg: 66.6097, loss: 0.6560 +2022-06-18 11:59:57,124 - mmseg - INFO - Iter [45250/160000] lr: 4.418e-05, eta: 6:59:50, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4749, decode.acc_seg: 66.4579, aux.loss_ce: 0.2104, aux.acc_seg: 65.1385, loss: 0.6853 +2022-06-18 12:00:09,975 - mmseg - INFO - Iter [45300/160000] lr: 4.416e-05, eta: 6:59:44, time: 0.257, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4771, decode.acc_seg: 65.1011, aux.loss_ce: 0.2076, aux.acc_seg: 64.2753, loss: 0.6847 +2022-06-18 12:00:20,593 - mmseg - INFO - Iter [45350/160000] lr: 4.414e-05, eta: 6:59:32, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4755, decode.acc_seg: 66.1829, aux.loss_ce: 0.2084, aux.acc_seg: 65.1613, loss: 0.6839 +2022-06-18 12:00:31,057 - mmseg - INFO - Iter [45400/160000] lr: 4.412e-05, eta: 6:59:19, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.5157, decode.acc_seg: 67.2185, aux.loss_ce: 0.2253, aux.acc_seg: 65.8701, loss: 0.7410 +2022-06-18 12:00:41,662 - mmseg - INFO - Iter [45450/160000] lr: 4.410e-05, eta: 6:59:07, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4916, decode.acc_seg: 64.8456, aux.loss_ce: 0.2132, aux.acc_seg: 64.3462, loss: 0.7048 +2022-06-18 12:00:55,055 - mmseg - INFO - Iter [45500/160000] lr: 4.408e-05, eta: 6:59:03, time: 0.268, data_time: 0.052, memory: 36051, decode.loss_ce: 0.4698, decode.acc_seg: 66.3678, aux.loss_ce: 0.2061, aux.acc_seg: 65.3836, loss: 0.6759 +2022-06-18 12:01:05,839 - mmseg - INFO - Iter [45550/160000] lr: 4.406e-05, eta: 6:58:51, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4896, decode.acc_seg: 66.0775, aux.loss_ce: 0.2125, aux.acc_seg: 64.9839, loss: 0.7020 +2022-06-18 12:01:16,661 - mmseg - INFO - Iter [45600/160000] lr: 4.405e-05, eta: 6:58:40, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4554, decode.acc_seg: 66.2265, aux.loss_ce: 0.2007, aux.acc_seg: 65.0816, loss: 0.6561 +2022-06-18 12:01:27,294 - mmseg - INFO - Iter [45650/160000] lr: 4.403e-05, eta: 6:58:28, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4709, decode.acc_seg: 67.6906, aux.loss_ce: 0.2070, aux.acc_seg: 66.6093, loss: 0.6779 +2022-06-18 12:01:38,069 - mmseg - INFO - Iter [45700/160000] lr: 4.401e-05, eta: 6:58:16, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4667, decode.acc_seg: 66.3029, aux.loss_ce: 0.2062, aux.acc_seg: 65.2747, loss: 0.6728 +2022-06-18 12:01:49,008 - mmseg - INFO - Iter [45750/160000] lr: 4.399e-05, eta: 6:58:05, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4690, decode.acc_seg: 66.2781, aux.loss_ce: 0.2061, aux.acc_seg: 65.3222, loss: 0.6751 +2022-06-18 12:01:59,692 - mmseg - INFO - Iter [45800/160000] lr: 4.397e-05, eta: 6:57:54, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4588, decode.acc_seg: 67.0807, aux.loss_ce: 0.2005, aux.acc_seg: 66.1377, loss: 0.6593 +2022-06-18 12:02:10,333 - mmseg - INFO - Iter [45850/160000] lr: 4.395e-05, eta: 6:57:42, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4724, decode.acc_seg: 66.2928, aux.loss_ce: 0.2084, aux.acc_seg: 65.0347, loss: 0.6808 +2022-06-18 12:02:20,939 - mmseg - INFO - Iter [45900/160000] lr: 4.393e-05, eta: 6:57:30, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4688, decode.acc_seg: 66.8167, aux.loss_ce: 0.2044, aux.acc_seg: 66.0122, loss: 0.6732 +2022-06-18 12:02:31,626 - mmseg - INFO - Iter [45950/160000] lr: 4.391e-05, eta: 6:57:18, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4649, decode.acc_seg: 66.8550, aux.loss_ce: 0.2059, aux.acc_seg: 65.7143, loss: 0.6709 +2022-06-18 12:02:42,217 - mmseg - INFO - Saving checkpoint at 46000 iterations +2022-06-18 12:02:44,230 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:02:44,230 - mmseg - INFO - Iter [46000/160000] lr: 4.389e-05, eta: 6:57:11, time: 0.252, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4764, decode.acc_seg: 66.4188, aux.loss_ce: 0.2106, aux.acc_seg: 65.2242, loss: 0.6871 +2022-06-18 12:02:54,882 - mmseg - INFO - Iter [46050/160000] lr: 4.387e-05, eta: 6:56:59, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4650, decode.acc_seg: 66.1461, aux.loss_ce: 0.2021, aux.acc_seg: 65.2661, loss: 0.6671 +2022-06-18 12:03:05,559 - mmseg - INFO - Iter [46100/160000] lr: 4.385e-05, eta: 6:56:48, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4486, decode.acc_seg: 66.1031, aux.loss_ce: 0.1983, aux.acc_seg: 65.0959, loss: 0.6469 +2022-06-18 12:03:16,046 - mmseg - INFO - Iter [46150/160000] lr: 4.383e-05, eta: 6:56:36, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4724, decode.acc_seg: 65.4983, aux.loss_ce: 0.2067, aux.acc_seg: 64.5772, loss: 0.6791 +2022-06-18 12:03:26,543 - mmseg - INFO - Iter [46200/160000] lr: 4.381e-05, eta: 6:56:23, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4776, decode.acc_seg: 66.2112, aux.loss_ce: 0.2071, aux.acc_seg: 65.3938, loss: 0.6847 +2022-06-18 12:03:37,124 - mmseg - INFO - Iter [46250/160000] lr: 4.379e-05, eta: 6:56:11, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4800, decode.acc_seg: 66.6068, aux.loss_ce: 0.2109, aux.acc_seg: 65.6636, loss: 0.6909 +2022-06-18 12:03:48,138 - mmseg - INFO - Iter [46300/160000] lr: 4.378e-05, eta: 6:56:01, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4835, decode.acc_seg: 67.1926, aux.loss_ce: 0.2098, aux.acc_seg: 66.2609, loss: 0.6934 +2022-06-18 12:03:58,850 - mmseg - INFO - Iter [46350/160000] lr: 4.376e-05, eta: 6:55:49, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4328, decode.acc_seg: 66.1804, aux.loss_ce: 0.1905, aux.acc_seg: 65.3018, loss: 0.6234 +2022-06-18 12:04:09,561 - mmseg - INFO - Iter [46400/160000] lr: 4.374e-05, eta: 6:55:37, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4566, decode.acc_seg: 66.2387, aux.loss_ce: 0.2008, aux.acc_seg: 65.1085, loss: 0.6574 +2022-06-18 12:04:20,528 - mmseg - INFO - Iter [46450/160000] lr: 4.372e-05, eta: 6:55:26, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4515, decode.acc_seg: 66.1418, aux.loss_ce: 0.1970, aux.acc_seg: 65.2089, loss: 0.6485 +2022-06-18 12:04:31,119 - mmseg - INFO - Iter [46500/160000] lr: 4.370e-05, eta: 6:55:14, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4902, decode.acc_seg: 65.3582, aux.loss_ce: 0.2143, aux.acc_seg: 64.5462, loss: 0.7044 +2022-06-18 12:04:41,413 - mmseg - INFO - Iter [46550/160000] lr: 4.368e-05, eta: 6:55:02, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4810, decode.acc_seg: 66.8142, aux.loss_ce: 0.2108, aux.acc_seg: 65.7029, loss: 0.6918 +2022-06-18 12:04:52,019 - mmseg - INFO - Iter [46600/160000] lr: 4.366e-05, eta: 6:54:50, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4813, decode.acc_seg: 65.8374, aux.loss_ce: 0.2106, aux.acc_seg: 64.8012, loss: 0.6920 +2022-06-18 12:05:02,428 - mmseg - INFO - Iter [46650/160000] lr: 4.364e-05, eta: 6:54:38, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4573, decode.acc_seg: 66.4080, aux.loss_ce: 0.2019, aux.acc_seg: 65.1497, loss: 0.6592 +2022-06-18 12:05:12,907 - mmseg - INFO - Iter [46700/160000] lr: 4.362e-05, eta: 6:54:25, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4754, decode.acc_seg: 64.7099, aux.loss_ce: 0.2044, aux.acc_seg: 64.0649, loss: 0.6798 +2022-06-18 12:05:25,966 - mmseg - INFO - Iter [46750/160000] lr: 4.360e-05, eta: 6:54:19, time: 0.261, data_time: 0.049, memory: 36051, decode.loss_ce: 0.4754, decode.acc_seg: 65.1388, aux.loss_ce: 0.2049, aux.acc_seg: 64.5457, loss: 0.6803 +2022-06-18 12:05:36,712 - mmseg - INFO - Iter [46800/160000] lr: 4.358e-05, eta: 6:54:08, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4754, decode.acc_seg: 65.6727, aux.loss_ce: 0.2080, aux.acc_seg: 64.7915, loss: 0.6834 +2022-06-18 12:05:47,385 - mmseg - INFO - Iter [46850/160000] lr: 4.356e-05, eta: 6:53:56, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4224, decode.acc_seg: 67.8173, aux.loss_ce: 0.1867, aux.acc_seg: 66.7379, loss: 0.6091 +2022-06-18 12:05:58,254 - mmseg - INFO - Iter [46900/160000] lr: 4.354e-05, eta: 6:53:45, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4556, decode.acc_seg: 66.8630, aux.loss_ce: 0.2038, aux.acc_seg: 65.6732, loss: 0.6595 +2022-06-18 12:06:08,960 - mmseg - INFO - Iter [46950/160000] lr: 4.353e-05, eta: 6:53:33, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4634, decode.acc_seg: 67.2701, aux.loss_ce: 0.2064, aux.acc_seg: 66.2022, loss: 0.6698 +2022-06-18 12:06:19,888 - mmseg - INFO - Saving checkpoint at 47000 iterations +2022-06-18 12:06:21,949 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:06:21,949 - mmseg - INFO - Iter [47000/160000] lr: 4.351e-05, eta: 6:53:27, time: 0.260, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4547, decode.acc_seg: 66.0866, aux.loss_ce: 0.1987, aux.acc_seg: 65.1902, loss: 0.6534 +2022-06-18 12:06:32,388 - mmseg - INFO - Iter [47050/160000] lr: 4.349e-05, eta: 6:53:15, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4883, decode.acc_seg: 65.3952, aux.loss_ce: 0.2121, aux.acc_seg: 64.6558, loss: 0.7004 +2022-06-18 12:06:43,205 - mmseg - INFO - Iter [47100/160000] lr: 4.347e-05, eta: 6:53:04, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4659, decode.acc_seg: 66.2181, aux.loss_ce: 0.2016, aux.acc_seg: 65.4272, loss: 0.6676 +2022-06-18 12:06:54,132 - mmseg - INFO - Iter [47150/160000] lr: 4.345e-05, eta: 6:52:52, time: 0.219, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4659, decode.acc_seg: 67.4619, aux.loss_ce: 0.2035, aux.acc_seg: 66.5812, loss: 0.6694 +2022-06-18 12:07:05,036 - mmseg - INFO - Iter [47200/160000] lr: 4.343e-05, eta: 6:52:41, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4622, decode.acc_seg: 67.6000, aux.loss_ce: 0.2023, aux.acc_seg: 66.5012, loss: 0.6645 +2022-06-18 12:07:15,959 - mmseg - INFO - Iter [47250/160000] lr: 4.341e-05, eta: 6:52:30, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4802, decode.acc_seg: 67.0955, aux.loss_ce: 0.2090, aux.acc_seg: 66.1438, loss: 0.6893 +2022-06-18 12:07:26,547 - mmseg - INFO - Iter [47300/160000] lr: 4.339e-05, eta: 6:52:18, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4414, decode.acc_seg: 66.7780, aux.loss_ce: 0.1923, aux.acc_seg: 65.8440, loss: 0.6337 +2022-06-18 12:07:37,101 - mmseg - INFO - Iter [47350/160000] lr: 4.337e-05, eta: 6:52:06, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4480, decode.acc_seg: 66.9062, aux.loss_ce: 0.1994, aux.acc_seg: 65.7344, loss: 0.6473 +2022-06-18 12:07:47,709 - mmseg - INFO - Iter [47400/160000] lr: 4.335e-05, eta: 6:51:54, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4710, decode.acc_seg: 67.4034, aux.loss_ce: 0.2076, aux.acc_seg: 66.2156, loss: 0.6786 +2022-06-18 12:07:58,199 - mmseg - INFO - Iter [47450/160000] lr: 4.333e-05, eta: 6:51:42, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4544, decode.acc_seg: 67.1264, aux.loss_ce: 0.1988, aux.acc_seg: 66.1115, loss: 0.6532 +2022-06-18 12:08:08,746 - mmseg - INFO - Iter [47500/160000] lr: 4.331e-05, eta: 6:51:30, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4805, decode.acc_seg: 66.5687, aux.loss_ce: 0.2104, aux.acc_seg: 65.5792, loss: 0.6908 +2022-06-18 12:08:19,271 - mmseg - INFO - Iter [47550/160000] lr: 4.329e-05, eta: 6:51:18, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4505, decode.acc_seg: 65.6890, aux.loss_ce: 0.1967, aux.acc_seg: 64.7012, loss: 0.6472 +2022-06-18 12:08:29,877 - mmseg - INFO - Iter [47600/160000] lr: 4.328e-05, eta: 6:51:07, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4672, decode.acc_seg: 66.4807, aux.loss_ce: 0.2038, aux.acc_seg: 65.4396, loss: 0.6710 +2022-06-18 12:08:40,294 - mmseg - INFO - Iter [47650/160000] lr: 4.326e-05, eta: 6:50:54, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4679, decode.acc_seg: 67.2951, aux.loss_ce: 0.2065, aux.acc_seg: 66.5117, loss: 0.6744 +2022-06-18 12:08:51,047 - mmseg - INFO - Iter [47700/160000] lr: 4.324e-05, eta: 6:50:43, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4948, decode.acc_seg: 64.3940, aux.loss_ce: 0.2161, aux.acc_seg: 63.4005, loss: 0.7108 +2022-06-18 12:09:01,565 - mmseg - INFO - Iter [47750/160000] lr: 4.322e-05, eta: 6:50:31, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4728, decode.acc_seg: 64.6659, aux.loss_ce: 0.2061, aux.acc_seg: 63.7952, loss: 0.6789 +2022-06-18 12:09:12,489 - mmseg - INFO - Iter [47800/160000] lr: 4.320e-05, eta: 6:50:20, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4864, decode.acc_seg: 66.7730, aux.loss_ce: 0.2150, aux.acc_seg: 65.6132, loss: 0.7014 +2022-06-18 12:09:22,879 - mmseg - INFO - Iter [47850/160000] lr: 4.318e-05, eta: 6:50:07, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4631, decode.acc_seg: 67.4908, aux.loss_ce: 0.2043, aux.acc_seg: 66.3517, loss: 0.6673 +2022-06-18 12:09:33,601 - mmseg - INFO - Iter [47900/160000] lr: 4.316e-05, eta: 6:49:56, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4456, decode.acc_seg: 66.9120, aux.loss_ce: 0.1943, aux.acc_seg: 66.1230, loss: 0.6399 +2022-06-18 12:09:44,261 - mmseg - INFO - Iter [47950/160000] lr: 4.314e-05, eta: 6:49:44, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4618, decode.acc_seg: 66.0301, aux.loss_ce: 0.2003, aux.acc_seg: 65.2483, loss: 0.6621 +2022-06-18 12:09:57,500 - mmseg - INFO - Saving checkpoint at 48000 iterations +2022-06-18 12:09:59,760 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:09:59,760 - mmseg - INFO - Iter [48000/160000] lr: 4.312e-05, eta: 6:49:44, time: 0.310, data_time: 0.049, memory: 36051, decode.loss_ce: 0.4417, decode.acc_seg: 66.9714, aux.loss_ce: 0.1952, aux.acc_seg: 66.0722, loss: 0.6369 +2022-06-18 12:10:17,290 - mmseg - INFO - per class results: +2022-06-18 12:10:17,297 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 72.44 | 85.8 | +| building | 79.38 | 89.83 | +| sky | 94.02 | 97.1 | +| floor | 77.21 | 86.46 | +| tree | 70.39 | 87.01 | +| ceiling | 78.47 | 85.01 | +| road | 80.77 | 87.5 | +| bed | 80.36 | 88.41 | +| windowpane | 56.54 | 76.3 | +| grass | 62.73 | 75.48 | +| cabinet | 54.08 | 66.45 | +| sidewalk | 58.25 | 76.66 | +| person | 74.2 | 87.44 | +| earth | 31.96 | 45.12 | +| door | 36.54 | 54.8 | +| table | 45.5 | 67.41 | +| mountain | 53.27 | 72.31 | +| plant | 49.49 | 59.83 | +| curtain | 68.75 | 81.54 | +| chair | 45.03 | 68.15 | +| car | 76.64 | 91.59 | +| water | 59.44 | 72.17 | +| painting | 61.31 | 80.13 | +| sofa | 51.24 | 74.05 | +| shelf | 38.8 | 61.39 | +| house | 49.37 | 73.7 | +| sea | 59.94 | 77.44 | +| mirror | 59.19 | 70.86 | +| rug | 58.26 | 74.12 | +| field | 26.95 | 53.69 | +| armchair | 29.45 | 45.42 | +| seat | 46.53 | 77.53 | +| fence | 34.61 | 54.69 | +| desk | 39.7 | 59.82 | +| rock | 32.36 | 49.0 | +| wardrobe | 40.19 | 55.84 | +| lamp | 47.33 | 63.89 | +| bathtub | 65.3 | 71.71 | +| railing | 29.06 | 39.42 | +| cushion | 41.14 | 58.05 | +| base | 15.33 | 17.41 | +| box | 15.2 | 20.5 | +| column | 39.52 | 50.1 | +| signboard | 28.63 | 42.32 | +| chest of drawers | 38.62 | 44.53 | +| counter | 25.7 | 29.09 | +| sand | 34.29 | 50.93 | +| sink | 58.88 | 64.67 | +| skyscraper | 63.4 | 71.86 | +| fireplace | 61.52 | 78.7 | +| refrigerator | 64.39 | 81.28 | +| grandstand | 35.91 | 78.36 | +| path | 19.07 | 26.35 | +| stairs | 12.93 | 14.4 | +| runway | 72.6 | 94.56 | +| case | 42.96 | 59.31 | +| pool table | 89.03 | 96.62 | +| pillow | 44.52 | 54.59 | +| screen door | 54.57 | 62.01 | +| stairway | 24.09 | 38.56 | +| river | 14.31 | 24.07 | +| bridge | 52.24 | 73.42 | +| bookcase | 30.44 | 42.99 | +| blind | 30.97 | 33.17 | +| coffee table | 52.19 | 73.16 | +| toilet | 77.3 | 85.62 | +| flower | 28.38 | 42.0 | +| book | 39.22 | 70.54 | +| hill | 14.9 | 24.64 | +| bench | 33.31 | 41.97 | +| countertop | 45.47 | 59.9 | +| stove | 62.21 | 75.42 | +| palm | 45.14 | 60.36 | +| kitchen island | 29.43 | 59.68 | +| computer | 48.39 | 60.87 | +| swivel chair | 38.96 | 61.45 | +| boat | 51.13 | 75.46 | +| bar | 36.14 | 44.88 | +| arcade machine | 38.87 | 41.53 | +| hovel | 40.81 | 48.6 | +| bus | 64.99 | 83.39 | +| towel | 42.15 | 46.41 | +| light | 33.98 | 35.71 | +| truck | 11.58 | 15.28 | +| tower | 30.77 | 54.9 | +| chandelier | 56.43 | 76.14 | +| awning | 20.6 | 29.32 | +| streetlight | 13.19 | 15.53 | +| booth | 55.31 | 77.8 | +| television receiver | 47.81 | 74.73 | +| airplane | 45.15 | 62.21 | +| dirt track | 5.41 | 13.33 | +| apparel | 30.57 | 45.47 | +| pole | 13.91 | 17.94 | +| land | 4.59 | 6.0 | +| bannister | 7.4 | 9.69 | +| escalator | 29.54 | 43.62 | +| ottoman | 29.48 | 39.05 | +| bottle | 8.4 | 13.54 | +| buffet | 40.21 | 62.33 | +| poster | 13.43 | 16.2 | +| stage | 8.7 | 20.75 | +| van | 13.92 | 15.4 | +| ship | 4.25 | 4.32 | +| fountain | 22.1 | 28.2 | +| conveyer belt | 50.75 | 67.24 | +| canopy | 18.6 | 24.64 | +| washer | 53.84 | 63.7 | +| plaything | 14.22 | 19.34 | +| swimming pool | 41.12 | 73.53 | +| stool | 13.28 | 17.73 | +| barrel | 23.33 | 26.27 | +| basket | 16.3 | 21.41 | +| waterfall | 74.36 | 91.07 | +| tent | 64.34 | 99.27 | +| bag | 3.15 | 3.46 | +| minibike | 50.06 | 58.26 | +| cradle | 60.08 | 98.03 | +| oven | 22.62 | 48.33 | +| ball | 43.13 | 54.13 | +| food | 54.46 | 74.07 | +| step | 2.91 | 3.0 | +| tank | 33.16 | 33.93 | +| trade name | 1.78 | 1.8 | +| microwave | 29.81 | 36.45 | +| pot | 26.98 | 30.28 | +| animal | 56.13 | 61.88 | +| bicycle | 38.04 | 65.12 | +| lake | 57.66 | 62.17 | +| dishwasher | 44.27 | 62.03 | +| screen | 68.41 | 88.85 | +| blanket | 5.18 | 5.45 | +| sculpture | 34.13 | 51.05 | +| hood | 37.25 | 65.54 | +| sconce | 24.8 | 26.58 | +| vase | 18.76 | 24.61 | +| traffic light | 14.7 | 26.35 | +| tray | 4.02 | 5.16 | +| ashcan | 23.39 | 28.13 | +| fan | 41.37 | 51.83 | +| pier | 28.99 | 41.55 | +| crt screen | 2.11 | 5.01 | +| plate | 42.7 | 50.29 | +| monitor | 6.17 | 8.58 | +| bulletin board | 33.3 | 37.49 | +| shower | 0.0 | 0.0 | +| radiator | 45.32 | 52.11 | +| glass | 0.86 | 0.86 | +| clock | 6.98 | 7.98 | +| flag | 30.6 | 33.22 | ++---------------------+-------+-------+ +2022-06-18 12:10:17,297 - mmseg - INFO - Summary: +2022-06-18 12:10:17,297 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 79.05 | 39.23 | 51.56 | ++-------+-------+-------+ +2022-06-18 12:10:17,315 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_32000.pth was removed +2022-06-18 12:10:20,438 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2022-06-18 12:10:20,439 - mmseg - INFO - Best mIoU is 0.3923 at 48000 iter. +2022-06-18 12:10:20,447 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:10:20,447 - mmseg - INFO - Iter(val) [250] aAcc: 0.7905, mIoU: 0.3923, mAcc: 0.5156, IoU.wall: 0.7244, IoU.building: 0.7938, IoU.sky: 0.9402, IoU.floor: 0.7721, IoU.tree: 0.7039, IoU.ceiling: 0.7847, IoU.road: 0.8077, IoU.bed : 0.8036, IoU.windowpane: 0.5654, IoU.grass: 0.6273, IoU.cabinet: 0.5408, IoU.sidewalk: 0.5825, IoU.person: 0.7420, IoU.earth: 0.3196, IoU.door: 0.3654, IoU.table: 0.4550, IoU.mountain: 0.5327, IoU.plant: 0.4949, IoU.curtain: 0.6875, IoU.chair: 0.4503, IoU.car: 0.7664, IoU.water: 0.5944, IoU.painting: 0.6131, IoU.sofa: 0.5124, IoU.shelf: 0.3880, IoU.house: 0.4937, IoU.sea: 0.5994, IoU.mirror: 0.5919, IoU.rug: 0.5826, IoU.field: 0.2695, IoU.armchair: 0.2945, IoU.seat: 0.4653, IoU.fence: 0.3461, IoU.desk: 0.3970, IoU.rock: 0.3236, IoU.wardrobe: 0.4019, IoU.lamp: 0.4733, IoU.bathtub: 0.6530, IoU.railing: 0.2906, IoU.cushion: 0.4114, IoU.base: 0.1533, IoU.box: 0.1520, IoU.column: 0.3952, IoU.signboard: 0.2863, IoU.chest of drawers: 0.3862, IoU.counter: 0.2570, IoU.sand: 0.3429, IoU.sink: 0.5888, IoU.skyscraper: 0.6340, IoU.fireplace: 0.6152, IoU.refrigerator: 0.6439, IoU.grandstand: 0.3591, IoU.path: 0.1907, IoU.stairs: 0.1293, IoU.runway: 0.7260, IoU.case: 0.4296, IoU.pool table: 0.8903, IoU.pillow: 0.4452, IoU.screen door: 0.5457, IoU.stairway: 0.2409, IoU.river: 0.1431, IoU.bridge: 0.5224, IoU.bookcase: 0.3044, IoU.blind: 0.3097, IoU.coffee table: 0.5219, IoU.toilet: 0.7730, IoU.flower: 0.2838, IoU.book: 0.3922, IoU.hill: 0.1490, IoU.bench: 0.3331, IoU.countertop: 0.4547, IoU.stove: 0.6221, IoU.palm: 0.4514, IoU.kitchen island: 0.2943, IoU.computer: 0.4839, IoU.swivel chair: 0.3896, IoU.boat: 0.5113, IoU.bar: 0.3614, IoU.arcade machine: 0.3887, IoU.hovel: 0.4081, IoU.bus: 0.6499, IoU.towel: 0.4215, IoU.light: 0.3398, IoU.truck: 0.1158, IoU.tower: 0.3077, IoU.chandelier: 0.5643, IoU.awning: 0.2060, IoU.streetlight: 0.1319, IoU.booth: 0.5531, IoU.television receiver: 0.4781, IoU.airplane: 0.4515, IoU.dirt track: 0.0541, IoU.apparel: 0.3057, IoU.pole: 0.1391, IoU.land: 0.0459, IoU.bannister: 0.0740, IoU.escalator: 0.2954, IoU.ottoman: 0.2948, IoU.bottle: 0.0840, IoU.buffet: 0.4021, IoU.poster: 0.1343, IoU.stage: 0.0870, IoU.van: 0.1392, IoU.ship: 0.0425, IoU.fountain: 0.2210, IoU.conveyer belt: 0.5075, IoU.canopy: 0.1860, IoU.washer: 0.5384, IoU.plaything: 0.1422, IoU.swimming pool: 0.4112, IoU.stool: 0.1328, IoU.barrel: 0.2333, IoU.basket: 0.1630, IoU.waterfall: 0.7436, IoU.tent: 0.6434, IoU.bag: 0.0315, IoU.minibike: 0.5006, IoU.cradle: 0.6008, IoU.oven: 0.2262, IoU.ball: 0.4313, IoU.food: 0.5446, IoU.step: 0.0291, IoU.tank: 0.3316, IoU.trade name: 0.0178, IoU.microwave: 0.2981, IoU.pot: 0.2698, IoU.animal: 0.5613, IoU.bicycle: 0.3804, IoU.lake: 0.5766, IoU.dishwasher: 0.4427, IoU.screen: 0.6841, IoU.blanket: 0.0518, IoU.sculpture: 0.3413, IoU.hood: 0.3725, IoU.sconce: 0.2480, IoU.vase: 0.1876, IoU.traffic light: 0.1470, IoU.tray: 0.0402, IoU.ashcan: 0.2339, IoU.fan: 0.4137, IoU.pier: 0.2899, IoU.crt screen: 0.0211, IoU.plate: 0.4270, IoU.monitor: 0.0617, IoU.bulletin board: 0.3330, IoU.shower: 0.0000, IoU.radiator: 0.4532, IoU.glass: 0.0086, IoU.clock: 0.0698, IoU.flag: 0.3060, Acc.wall: 0.8580, Acc.building: 0.8983, Acc.sky: 0.9710, Acc.floor: 0.8646, Acc.tree: 0.8701, Acc.ceiling: 0.8501, Acc.road: 0.8750, Acc.bed : 0.8841, Acc.windowpane: 0.7630, Acc.grass: 0.7548, Acc.cabinet: 0.6645, Acc.sidewalk: 0.7666, Acc.person: 0.8744, Acc.earth: 0.4512, Acc.door: 0.5480, Acc.table: 0.6741, Acc.mountain: 0.7231, Acc.plant: 0.5983, Acc.curtain: 0.8154, Acc.chair: 0.6815, Acc.car: 0.9159, Acc.water: 0.7217, Acc.painting: 0.8013, Acc.sofa: 0.7405, Acc.shelf: 0.6139, Acc.house: 0.7370, Acc.sea: 0.7744, Acc.mirror: 0.7086, Acc.rug: 0.7412, Acc.field: 0.5369, Acc.armchair: 0.4542, Acc.seat: 0.7753, Acc.fence: 0.5469, Acc.desk: 0.5982, Acc.rock: 0.4900, Acc.wardrobe: 0.5584, Acc.lamp: 0.6389, Acc.bathtub: 0.7171, Acc.railing: 0.3942, Acc.cushion: 0.5805, Acc.base: 0.1741, Acc.box: 0.2050, Acc.column: 0.5010, Acc.signboard: 0.4232, Acc.chest of drawers: 0.4453, Acc.counter: 0.2909, Acc.sand: 0.5093, Acc.sink: 0.6467, Acc.skyscraper: 0.7186, Acc.fireplace: 0.7870, Acc.refrigerator: 0.8128, Acc.grandstand: 0.7836, Acc.path: 0.2635, Acc.stairs: 0.1440, Acc.runway: 0.9456, Acc.case: 0.5931, Acc.pool table: 0.9662, Acc.pillow: 0.5459, Acc.screen door: 0.6201, Acc.stairway: 0.3856, Acc.river: 0.2407, Acc.bridge: 0.7342, Acc.bookcase: 0.4299, Acc.blind: 0.3317, Acc.coffee table: 0.7316, Acc.toilet: 0.8562, Acc.flower: 0.4200, Acc.book: 0.7054, Acc.hill: 0.2464, Acc.bench: 0.4197, Acc.countertop: 0.5990, Acc.stove: 0.7542, Acc.palm: 0.6036, Acc.kitchen island: 0.5968, Acc.computer: 0.6087, Acc.swivel chair: 0.6145, Acc.boat: 0.7546, Acc.bar: 0.4488, Acc.arcade machine: 0.4153, Acc.hovel: 0.4860, Acc.bus: 0.8339, Acc.towel: 0.4641, Acc.light: 0.3571, Acc.truck: 0.1528, Acc.tower: 0.5490, Acc.chandelier: 0.7614, Acc.awning: 0.2932, Acc.streetlight: 0.1553, Acc.booth: 0.7780, Acc.television receiver: 0.7473, Acc.airplane: 0.6221, Acc.dirt track: 0.1333, Acc.apparel: 0.4547, Acc.pole: 0.1794, Acc.land: 0.0600, Acc.bannister: 0.0969, Acc.escalator: 0.4362, Acc.ottoman: 0.3905, Acc.bottle: 0.1354, Acc.buffet: 0.6233, Acc.poster: 0.1620, Acc.stage: 0.2075, Acc.van: 0.1540, Acc.ship: 0.0432, Acc.fountain: 0.2820, Acc.conveyer belt: 0.6724, Acc.canopy: 0.2464, Acc.washer: 0.6370, Acc.plaything: 0.1934, Acc.swimming pool: 0.7353, Acc.stool: 0.1773, Acc.barrel: 0.2627, Acc.basket: 0.2141, Acc.waterfall: 0.9107, Acc.tent: 0.9927, Acc.bag: 0.0346, Acc.minibike: 0.5826, Acc.cradle: 0.9803, Acc.oven: 0.4833, Acc.ball: 0.5413, Acc.food: 0.7407, Acc.step: 0.0300, Acc.tank: 0.3393, Acc.trade name: 0.0180, Acc.microwave: 0.3645, Acc.pot: 0.3028, Acc.animal: 0.6188, Acc.bicycle: 0.6512, Acc.lake: 0.6217, Acc.dishwasher: 0.6203, Acc.screen: 0.8885, Acc.blanket: 0.0545, Acc.sculpture: 0.5105, Acc.hood: 0.6554, Acc.sconce: 0.2658, Acc.vase: 0.2461, Acc.traffic light: 0.2635, Acc.tray: 0.0516, Acc.ashcan: 0.2813, Acc.fan: 0.5183, Acc.pier: 0.4155, Acc.crt screen: 0.0501, Acc.plate: 0.5029, Acc.monitor: 0.0858, Acc.bulletin board: 0.3749, Acc.shower: 0.0000, Acc.radiator: 0.5211, Acc.glass: 0.0086, Acc.clock: 0.0798, Acc.flag: 0.3322 +2022-06-18 12:10:31,229 - mmseg - INFO - Iter [48050/160000] lr: 4.310e-05, eta: 6:50:20, time: 0.629, data_time: 0.418, memory: 36051, decode.loss_ce: 0.4359, decode.acc_seg: 67.5076, aux.loss_ce: 0.1933, aux.acc_seg: 66.3109, loss: 0.6292 +2022-06-18 12:10:41,632 - mmseg - INFO - Iter [48100/160000] lr: 4.308e-05, eta: 6:50:08, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4432, decode.acc_seg: 68.3769, aux.loss_ce: 0.1962, aux.acc_seg: 67.1412, loss: 0.6394 +2022-06-18 12:10:52,486 - mmseg - INFO - Iter [48150/160000] lr: 4.306e-05, eta: 6:49:57, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4834, decode.acc_seg: 66.3666, aux.loss_ce: 0.2115, aux.acc_seg: 65.4886, loss: 0.6949 +2022-06-18 12:11:03,002 - mmseg - INFO - Iter [48200/160000] lr: 4.304e-05, eta: 6:49:45, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4711, decode.acc_seg: 66.0250, aux.loss_ce: 0.2066, aux.acc_seg: 64.9538, loss: 0.6778 +2022-06-18 12:11:13,397 - mmseg - INFO - Iter [48250/160000] lr: 4.302e-05, eta: 6:49:32, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4953, decode.acc_seg: 66.1318, aux.loss_ce: 0.2137, aux.acc_seg: 65.3096, loss: 0.7090 +2022-06-18 12:11:24,032 - mmseg - INFO - Iter [48300/160000] lr: 4.301e-05, eta: 6:49:20, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4477, decode.acc_seg: 66.3519, aux.loss_ce: 0.1970, aux.acc_seg: 65.4340, loss: 0.6447 +2022-06-18 12:11:34,941 - mmseg - INFO - Iter [48350/160000] lr: 4.299e-05, eta: 6:49:09, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4739, decode.acc_seg: 66.2850, aux.loss_ce: 0.2088, aux.acc_seg: 65.0809, loss: 0.6827 +2022-06-18 12:11:45,375 - mmseg - INFO - Iter [48400/160000] lr: 4.297e-05, eta: 6:48:57, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4554, decode.acc_seg: 66.5219, aux.loss_ce: 0.1999, aux.acc_seg: 65.5992, loss: 0.6552 +2022-06-18 12:11:56,186 - mmseg - INFO - Iter [48450/160000] lr: 4.295e-05, eta: 6:48:45, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4884, decode.acc_seg: 66.9124, aux.loss_ce: 0.2141, aux.acc_seg: 65.7708, loss: 0.7025 +2022-06-18 12:12:07,075 - mmseg - INFO - Iter [48500/160000] lr: 4.293e-05, eta: 6:48:34, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4400, decode.acc_seg: 66.8901, aux.loss_ce: 0.1943, aux.acc_seg: 65.8499, loss: 0.6343 +2022-06-18 12:12:17,768 - mmseg - INFO - Iter [48550/160000] lr: 4.291e-05, eta: 6:48:23, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4527, decode.acc_seg: 65.9129, aux.loss_ce: 0.1979, aux.acc_seg: 64.8818, loss: 0.6505 +2022-06-18 12:12:28,448 - mmseg - INFO - Iter [48600/160000] lr: 4.289e-05, eta: 6:48:11, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4450, decode.acc_seg: 66.8604, aux.loss_ce: 0.1975, aux.acc_seg: 65.7135, loss: 0.6425 +2022-06-18 12:12:38,922 - mmseg - INFO - Iter [48650/160000] lr: 4.287e-05, eta: 6:47:59, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4792, decode.acc_seg: 65.7382, aux.loss_ce: 0.2111, aux.acc_seg: 64.5914, loss: 0.6903 +2022-06-18 12:12:49,590 - mmseg - INFO - Iter [48700/160000] lr: 4.285e-05, eta: 6:47:47, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4848, decode.acc_seg: 66.4452, aux.loss_ce: 0.2109, aux.acc_seg: 65.4215, loss: 0.6958 +2022-06-18 12:13:00,122 - mmseg - INFO - Iter [48750/160000] lr: 4.283e-05, eta: 6:47:35, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4582, decode.acc_seg: 66.1820, aux.loss_ce: 0.2006, aux.acc_seg: 65.2551, loss: 0.6587 +2022-06-18 12:13:10,902 - mmseg - INFO - Iter [48800/160000] lr: 4.281e-05, eta: 6:47:23, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4843, decode.acc_seg: 66.1653, aux.loss_ce: 0.2100, aux.acc_seg: 65.5215, loss: 0.6943 +2022-06-18 12:13:21,553 - mmseg - INFO - Iter [48850/160000] lr: 4.279e-05, eta: 6:47:12, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4591, decode.acc_seg: 67.7056, aux.loss_ce: 0.1998, aux.acc_seg: 66.7867, loss: 0.6589 +2022-06-18 12:13:32,095 - mmseg - INFO - Iter [48900/160000] lr: 4.277e-05, eta: 6:47:00, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4387, decode.acc_seg: 67.4639, aux.loss_ce: 0.1921, aux.acc_seg: 66.5595, loss: 0.6308 +2022-06-18 12:13:42,678 - mmseg - INFO - Iter [48950/160000] lr: 4.276e-05, eta: 6:46:48, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4559, decode.acc_seg: 67.0660, aux.loss_ce: 0.1979, aux.acc_seg: 66.2353, loss: 0.6538 +2022-06-18 12:13:53,201 - mmseg - INFO - Saving checkpoint at 49000 iterations +2022-06-18 12:13:55,329 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:13:55,330 - mmseg - INFO - Iter [49000/160000] lr: 4.274e-05, eta: 6:46:40, time: 0.253, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4708, decode.acc_seg: 65.9844, aux.loss_ce: 0.2061, aux.acc_seg: 65.1052, loss: 0.6769 +2022-06-18 12:14:05,807 - mmseg - INFO - Iter [49050/160000] lr: 4.272e-05, eta: 6:46:28, time: 0.209, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4601, decode.acc_seg: 67.4590, aux.loss_ce: 0.2004, aux.acc_seg: 66.4053, loss: 0.6605 +2022-06-18 12:14:16,639 - mmseg - INFO - Iter [49100/160000] lr: 4.270e-05, eta: 6:46:17, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4558, decode.acc_seg: 66.3831, aux.loss_ce: 0.2006, aux.acc_seg: 65.3468, loss: 0.6564 +2022-06-18 12:14:27,440 - mmseg - INFO - Iter [49150/160000] lr: 4.268e-05, eta: 6:46:06, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4742, decode.acc_seg: 67.9923, aux.loss_ce: 0.2074, aux.acc_seg: 66.9882, loss: 0.6816 +2022-06-18 12:14:37,933 - mmseg - INFO - Iter [49200/160000] lr: 4.266e-05, eta: 6:45:53, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4566, decode.acc_seg: 64.7840, aux.loss_ce: 0.1997, aux.acc_seg: 63.8230, loss: 0.6563 +2022-06-18 12:14:48,740 - mmseg - INFO - Iter [49250/160000] lr: 4.264e-05, eta: 6:45:42, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4691, decode.acc_seg: 66.3323, aux.loss_ce: 0.2084, aux.acc_seg: 65.0674, loss: 0.6775 +2022-06-18 12:15:01,669 - mmseg - INFO - Iter [49300/160000] lr: 4.262e-05, eta: 6:45:35, time: 0.259, data_time: 0.050, memory: 36051, decode.loss_ce: 0.4876, decode.acc_seg: 66.8265, aux.loss_ce: 0.2125, aux.acc_seg: 65.6926, loss: 0.7001 +2022-06-18 12:15:12,144 - mmseg - INFO - Iter [49350/160000] lr: 4.260e-05, eta: 6:45:23, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4464, decode.acc_seg: 66.9637, aux.loss_ce: 0.1956, aux.acc_seg: 66.0107, loss: 0.6420 +2022-06-18 12:15:22,672 - mmseg - INFO - Iter [49400/160000] lr: 4.258e-05, eta: 6:45:11, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4289, decode.acc_seg: 67.4250, aux.loss_ce: 0.1883, aux.acc_seg: 66.3432, loss: 0.6171 +2022-06-18 12:15:33,443 - mmseg - INFO - Iter [49450/160000] lr: 4.256e-05, eta: 6:45:00, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4640, decode.acc_seg: 65.2012, aux.loss_ce: 0.2047, aux.acc_seg: 64.1178, loss: 0.6688 +2022-06-18 12:15:44,164 - mmseg - INFO - Iter [49500/160000] lr: 4.254e-05, eta: 6:44:48, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4831, decode.acc_seg: 66.6613, aux.loss_ce: 0.2114, aux.acc_seg: 65.6076, loss: 0.6944 +2022-06-18 12:15:54,840 - mmseg - INFO - Iter [49550/160000] lr: 4.252e-05, eta: 6:44:36, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4663, decode.acc_seg: 66.7785, aux.loss_ce: 0.2040, aux.acc_seg: 65.9773, loss: 0.6703 +2022-06-18 12:16:05,745 - mmseg - INFO - Iter [49600/160000] lr: 4.251e-05, eta: 6:44:25, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4553, decode.acc_seg: 67.7025, aux.loss_ce: 0.2012, aux.acc_seg: 66.6881, loss: 0.6565 +2022-06-18 12:16:16,552 - mmseg - INFO - Iter [49650/160000] lr: 4.249e-05, eta: 6:44:14, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4410, decode.acc_seg: 67.1760, aux.loss_ce: 0.1928, aux.acc_seg: 66.1730, loss: 0.6338 +2022-06-18 12:16:26,958 - mmseg - INFO - Iter [49700/160000] lr: 4.247e-05, eta: 6:44:02, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4964, decode.acc_seg: 66.7778, aux.loss_ce: 0.2182, aux.acc_seg: 65.6947, loss: 0.7146 +2022-06-18 12:16:37,849 - mmseg - INFO - Iter [49750/160000] lr: 4.245e-05, eta: 6:43:50, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4531, decode.acc_seg: 67.0736, aux.loss_ce: 0.1991, aux.acc_seg: 66.0417, loss: 0.6523 +2022-06-18 12:16:48,359 - mmseg - INFO - Iter [49800/160000] lr: 4.243e-05, eta: 6:43:38, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4518, decode.acc_seg: 66.7339, aux.loss_ce: 0.2003, aux.acc_seg: 65.9033, loss: 0.6521 +2022-06-18 12:16:58,926 - mmseg - INFO - Iter [49850/160000] lr: 4.241e-05, eta: 6:43:26, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4406, decode.acc_seg: 67.4164, aux.loss_ce: 0.1957, aux.acc_seg: 66.2305, loss: 0.6363 +2022-06-18 12:17:09,618 - mmseg - INFO - Iter [49900/160000] lr: 4.239e-05, eta: 6:43:15, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4478, decode.acc_seg: 66.6212, aux.loss_ce: 0.1952, aux.acc_seg: 65.7400, loss: 0.6430 +2022-06-18 12:17:20,447 - mmseg - INFO - Iter [49950/160000] lr: 4.237e-05, eta: 6:43:03, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4372, decode.acc_seg: 66.0665, aux.loss_ce: 0.1946, aux.acc_seg: 64.9875, loss: 0.6318 +2022-06-18 12:17:30,751 - mmseg - INFO - Saving checkpoint at 50000 iterations +2022-06-18 12:17:32,785 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:17:32,786 - mmseg - INFO - Iter [50000/160000] lr: 4.235e-05, eta: 6:42:55, time: 0.247, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4544, decode.acc_seg: 67.4998, aux.loss_ce: 0.2011, aux.acc_seg: 66.5543, loss: 0.6555 +2022-06-18 12:17:43,907 - mmseg - INFO - Iter [50050/160000] lr: 4.233e-05, eta: 6:42:45, time: 0.222, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4697, decode.acc_seg: 67.8633, aux.loss_ce: 0.2084, aux.acc_seg: 66.6194, loss: 0.6782 +2022-06-18 12:17:54,634 - mmseg - INFO - Iter [50100/160000] lr: 4.231e-05, eta: 6:42:33, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4757, decode.acc_seg: 67.5595, aux.loss_ce: 0.2072, aux.acc_seg: 66.7440, loss: 0.6828 +2022-06-18 12:18:05,544 - mmseg - INFO - Iter [50150/160000] lr: 4.229e-05, eta: 6:42:22, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4845, decode.acc_seg: 67.5910, aux.loss_ce: 0.2131, aux.acc_seg: 66.3480, loss: 0.6976 +2022-06-18 12:18:16,378 - mmseg - INFO - Iter [50200/160000] lr: 4.227e-05, eta: 6:42:11, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4340, decode.acc_seg: 67.1822, aux.loss_ce: 0.1943, aux.acc_seg: 66.1874, loss: 0.6283 +2022-06-18 12:18:27,063 - mmseg - INFO - Iter [50250/160000] lr: 4.225e-05, eta: 6:41:59, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4467, decode.acc_seg: 66.3534, aux.loss_ce: 0.1978, aux.acc_seg: 65.2844, loss: 0.6445 +2022-06-18 12:18:37,483 - mmseg - INFO - Iter [50300/160000] lr: 4.224e-05, eta: 6:41:47, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4462, decode.acc_seg: 66.3365, aux.loss_ce: 0.1960, aux.acc_seg: 65.4493, loss: 0.6422 +2022-06-18 12:18:48,211 - mmseg - INFO - Iter [50350/160000] lr: 4.222e-05, eta: 6:41:35, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4437, decode.acc_seg: 65.8540, aux.loss_ce: 0.1967, aux.acc_seg: 64.6991, loss: 0.6404 +2022-06-18 12:18:58,880 - mmseg - INFO - Iter [50400/160000] lr: 4.220e-05, eta: 6:41:24, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4572, decode.acc_seg: 66.4734, aux.loss_ce: 0.2008, aux.acc_seg: 65.5373, loss: 0.6580 +2022-06-18 12:19:09,482 - mmseg - INFO - Iter [50450/160000] lr: 4.218e-05, eta: 6:41:12, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4459, decode.acc_seg: 67.3547, aux.loss_ce: 0.1935, aux.acc_seg: 66.3910, loss: 0.6394 +2022-06-18 12:19:20,070 - mmseg - INFO - Iter [50500/160000] lr: 4.216e-05, eta: 6:41:00, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4883, decode.acc_seg: 65.0024, aux.loss_ce: 0.2125, aux.acc_seg: 64.0727, loss: 0.7008 +2022-06-18 12:19:32,983 - mmseg - INFO - Iter [50550/160000] lr: 4.214e-05, eta: 6:40:53, time: 0.258, data_time: 0.048, memory: 36051, decode.loss_ce: 0.4752, decode.acc_seg: 66.4402, aux.loss_ce: 0.2101, aux.acc_seg: 65.4509, loss: 0.6853 +2022-06-18 12:19:43,768 - mmseg - INFO - Iter [50600/160000] lr: 4.212e-05, eta: 6:40:42, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4392, decode.acc_seg: 67.7119, aux.loss_ce: 0.1959, aux.acc_seg: 66.5845, loss: 0.6351 +2022-06-18 12:19:54,214 - mmseg - INFO - Iter [50650/160000] lr: 4.210e-05, eta: 6:40:29, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4463, decode.acc_seg: 66.9205, aux.loss_ce: 0.1966, aux.acc_seg: 65.7450, loss: 0.6429 +2022-06-18 12:20:04,952 - mmseg - INFO - Iter [50700/160000] lr: 4.208e-05, eta: 6:40:18, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4241, decode.acc_seg: 67.3408, aux.loss_ce: 0.1877, aux.acc_seg: 66.1996, loss: 0.6119 +2022-06-18 12:20:15,642 - mmseg - INFO - Iter [50750/160000] lr: 4.206e-05, eta: 6:40:06, time: 0.214, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4527, decode.acc_seg: 66.3773, aux.loss_ce: 0.1982, aux.acc_seg: 65.5049, loss: 0.6509 +2022-06-18 12:20:26,630 - mmseg - INFO - Iter [50800/160000] lr: 4.204e-05, eta: 6:39:55, time: 0.219, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4376, decode.acc_seg: 67.3319, aux.loss_ce: 0.1928, aux.acc_seg: 66.4103, loss: 0.6304 +2022-06-18 12:20:37,399 - mmseg - INFO - Iter [50850/160000] lr: 4.202e-05, eta: 6:39:44, time: 0.217, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4641, decode.acc_seg: 66.7390, aux.loss_ce: 0.2067, aux.acc_seg: 65.5788, loss: 0.6707 +2022-06-18 12:20:48,210 - mmseg - INFO - Iter [50900/160000] lr: 4.200e-05, eta: 6:39:33, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4582, decode.acc_seg: 66.4948, aux.loss_ce: 0.2033, aux.acc_seg: 65.5055, loss: 0.6615 +2022-06-18 12:20:58,966 - mmseg - INFO - Iter [50950/160000] lr: 4.199e-05, eta: 6:39:21, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4522, decode.acc_seg: 65.6964, aux.loss_ce: 0.1959, aux.acc_seg: 64.9995, loss: 0.6481 +2022-06-18 12:21:09,457 - mmseg - INFO - Saving checkpoint at 51000 iterations +2022-06-18 12:21:11,543 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:21:11,543 - mmseg - INFO - Iter [51000/160000] lr: 4.197e-05, eta: 6:39:13, time: 0.252, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4741, decode.acc_seg: 67.0155, aux.loss_ce: 0.2108, aux.acc_seg: 65.8893, loss: 0.6849 +2022-06-18 12:21:22,108 - mmseg - INFO - Iter [51050/160000] lr: 4.195e-05, eta: 6:39:02, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4801, decode.acc_seg: 67.1033, aux.loss_ce: 0.2073, aux.acc_seg: 66.1658, loss: 0.6873 +2022-06-18 12:21:32,702 - mmseg - INFO - Iter [51100/160000] lr: 4.193e-05, eta: 6:38:50, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4479, decode.acc_seg: 66.0485, aux.loss_ce: 0.1960, aux.acc_seg: 65.1306, loss: 0.6440 +2022-06-18 12:21:43,236 - mmseg - INFO - Iter [51150/160000] lr: 4.191e-05, eta: 6:38:38, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4357, decode.acc_seg: 66.8028, aux.loss_ce: 0.1916, aux.acc_seg: 66.0141, loss: 0.6273 +2022-06-18 12:21:53,934 - mmseg - INFO - Iter [51200/160000] lr: 4.189e-05, eta: 6:38:26, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4395, decode.acc_seg: 66.7283, aux.loss_ce: 0.1939, aux.acc_seg: 65.6227, loss: 0.6334 +2022-06-18 12:22:04,432 - mmseg - INFO - Iter [51250/160000] lr: 4.187e-05, eta: 6:38:14, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4780, decode.acc_seg: 66.0643, aux.loss_ce: 0.2097, aux.acc_seg: 65.0345, loss: 0.6877 +2022-06-18 12:22:14,970 - mmseg - INFO - Iter [51300/160000] lr: 4.185e-05, eta: 6:38:02, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4555, decode.acc_seg: 66.1124, aux.loss_ce: 0.1977, aux.acc_seg: 65.1544, loss: 0.6531 +2022-06-18 12:22:25,708 - mmseg - INFO - Iter [51350/160000] lr: 4.183e-05, eta: 6:37:51, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4389, decode.acc_seg: 67.0919, aux.loss_ce: 0.1944, aux.acc_seg: 66.0309, loss: 0.6333 +2022-06-18 12:22:36,166 - mmseg - INFO - Iter [51400/160000] lr: 4.181e-05, eta: 6:37:39, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4455, decode.acc_seg: 67.8802, aux.loss_ce: 0.1947, aux.acc_seg: 66.9273, loss: 0.6403 +2022-06-18 12:22:46,818 - mmseg - INFO - Iter [51450/160000] lr: 4.179e-05, eta: 6:37:27, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4522, decode.acc_seg: 66.3081, aux.loss_ce: 0.1988, aux.acc_seg: 65.4066, loss: 0.6509 +2022-06-18 12:22:57,388 - mmseg - INFO - Iter [51500/160000] lr: 4.177e-05, eta: 6:37:15, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4558, decode.acc_seg: 67.2414, aux.loss_ce: 0.2012, aux.acc_seg: 66.1109, loss: 0.6570 +2022-06-18 12:23:07,916 - mmseg - INFO - Iter [51550/160000] lr: 4.175e-05, eta: 6:37:03, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4479, decode.acc_seg: 67.9767, aux.loss_ce: 0.1955, aux.acc_seg: 67.1460, loss: 0.6435 +2022-06-18 12:23:18,908 - mmseg - INFO - Iter [51600/160000] lr: 4.174e-05, eta: 6:36:52, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4526, decode.acc_seg: 67.4629, aux.loss_ce: 0.2002, aux.acc_seg: 66.4523, loss: 0.6528 +2022-06-18 12:23:29,307 - mmseg - INFO - Iter [51650/160000] lr: 4.172e-05, eta: 6:36:40, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4431, decode.acc_seg: 67.5556, aux.loss_ce: 0.1949, aux.acc_seg: 66.6078, loss: 0.6381 +2022-06-18 12:23:39,869 - mmseg - INFO - Iter [51700/160000] lr: 4.170e-05, eta: 6:36:28, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4461, decode.acc_seg: 66.8242, aux.loss_ce: 0.1969, aux.acc_seg: 65.8599, loss: 0.6430 +2022-06-18 12:23:50,519 - mmseg - INFO - Iter [51750/160000] lr: 4.168e-05, eta: 6:36:16, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4570, decode.acc_seg: 66.6581, aux.loss_ce: 0.2030, aux.acc_seg: 65.3078, loss: 0.6599 +2022-06-18 12:24:03,255 - mmseg - INFO - Iter [51800/160000] lr: 4.166e-05, eta: 6:36:09, time: 0.254, data_time: 0.051, memory: 36051, decode.loss_ce: 0.4464, decode.acc_seg: 67.4405, aux.loss_ce: 0.1981, aux.acc_seg: 66.1061, loss: 0.6444 +2022-06-18 12:24:13,902 - mmseg - INFO - Iter [51850/160000] lr: 4.164e-05, eta: 6:35:57, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4451, decode.acc_seg: 66.0797, aux.loss_ce: 0.1973, aux.acc_seg: 65.0726, loss: 0.6424 +2022-06-18 12:24:24,689 - mmseg - INFO - Iter [51900/160000] lr: 4.162e-05, eta: 6:35:46, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4404, decode.acc_seg: 66.5347, aux.loss_ce: 0.1904, aux.acc_seg: 65.6579, loss: 0.6308 +2022-06-18 12:24:35,262 - mmseg - INFO - Iter [51950/160000] lr: 4.160e-05, eta: 6:35:34, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4334, decode.acc_seg: 67.9354, aux.loss_ce: 0.1888, aux.acc_seg: 67.0381, loss: 0.6223 +2022-06-18 12:24:45,981 - mmseg - INFO - Saving checkpoint at 52000 iterations +2022-06-18 12:24:48,368 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:24:48,368 - mmseg - INFO - Iter [52000/160000] lr: 4.158e-05, eta: 6:35:28, time: 0.262, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4457, decode.acc_seg: 68.2085, aux.loss_ce: 0.1964, aux.acc_seg: 67.2300, loss: 0.6422 +2022-06-18 12:24:59,172 - mmseg - INFO - Iter [52050/160000] lr: 4.156e-05, eta: 6:35:16, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4835, decode.acc_seg: 66.1916, aux.loss_ce: 0.2122, aux.acc_seg: 65.3709, loss: 0.6957 +2022-06-18 12:25:09,786 - mmseg - INFO - Iter [52100/160000] lr: 4.154e-05, eta: 6:35:04, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4552, decode.acc_seg: 66.9926, aux.loss_ce: 0.2007, aux.acc_seg: 65.9947, loss: 0.6559 +2022-06-18 12:25:20,340 - mmseg - INFO - Iter [52150/160000] lr: 4.152e-05, eta: 6:34:53, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4345, decode.acc_seg: 66.9384, aux.loss_ce: 0.1938, aux.acc_seg: 65.6404, loss: 0.6283 +2022-06-18 12:25:30,954 - mmseg - INFO - Iter [52200/160000] lr: 4.150e-05, eta: 6:34:41, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4353, decode.acc_seg: 66.9826, aux.loss_ce: 0.1913, aux.acc_seg: 66.1383, loss: 0.6267 +2022-06-18 12:25:41,408 - mmseg - INFO - Iter [52250/160000] lr: 4.148e-05, eta: 6:34:29, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4417, decode.acc_seg: 67.5149, aux.loss_ce: 0.1968, aux.acc_seg: 66.5305, loss: 0.6385 +2022-06-18 12:25:51,947 - mmseg - INFO - Iter [52300/160000] lr: 4.147e-05, eta: 6:34:17, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4626, decode.acc_seg: 66.0868, aux.loss_ce: 0.2027, aux.acc_seg: 65.1563, loss: 0.6654 +2022-06-18 12:26:02,729 - mmseg - INFO - Iter [52350/160000] lr: 4.145e-05, eta: 6:34:05, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4479, decode.acc_seg: 67.2706, aux.loss_ce: 0.1984, aux.acc_seg: 66.1256, loss: 0.6463 +2022-06-18 12:26:13,430 - mmseg - INFO - Iter [52400/160000] lr: 4.143e-05, eta: 6:33:54, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4281, decode.acc_seg: 67.0192, aux.loss_ce: 0.1905, aux.acc_seg: 66.0298, loss: 0.6186 +2022-06-18 12:26:24,170 - mmseg - INFO - Iter [52450/160000] lr: 4.141e-05, eta: 6:33:42, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4888, decode.acc_seg: 68.6681, aux.loss_ce: 0.2149, aux.acc_seg: 67.6378, loss: 0.7037 +2022-06-18 12:26:34,844 - mmseg - INFO - Iter [52500/160000] lr: 4.139e-05, eta: 6:33:31, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4196, decode.acc_seg: 66.8886, aux.loss_ce: 0.1868, aux.acc_seg: 65.8196, loss: 0.6065 +2022-06-18 12:26:45,842 - mmseg - INFO - Iter [52550/160000] lr: 4.137e-05, eta: 6:33:20, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4322, decode.acc_seg: 67.3432, aux.loss_ce: 0.1942, aux.acc_seg: 66.1279, loss: 0.6264 +2022-06-18 12:26:56,756 - mmseg - INFO - Iter [52600/160000] lr: 4.135e-05, eta: 6:33:09, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4441, decode.acc_seg: 67.3291, aux.loss_ce: 0.1937, aux.acc_seg: 66.5777, loss: 0.6378 +2022-06-18 12:27:07,732 - mmseg - INFO - Iter [52650/160000] lr: 4.133e-05, eta: 6:32:58, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4349, decode.acc_seg: 68.8119, aux.loss_ce: 0.1952, aux.acc_seg: 67.5629, loss: 0.6301 +2022-06-18 12:27:18,585 - mmseg - INFO - Iter [52700/160000] lr: 4.131e-05, eta: 6:32:46, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4478, decode.acc_seg: 66.3976, aux.loss_ce: 0.1993, aux.acc_seg: 65.3098, loss: 0.6471 +2022-06-18 12:27:29,105 - mmseg - INFO - Iter [52750/160000] lr: 4.129e-05, eta: 6:32:35, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4185, decode.acc_seg: 67.3263, aux.loss_ce: 0.1856, aux.acc_seg: 66.3588, loss: 0.6041 +2022-06-18 12:27:40,074 - mmseg - INFO - Iter [52800/160000] lr: 4.127e-05, eta: 6:32:24, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4657, decode.acc_seg: 66.3597, aux.loss_ce: 0.2047, aux.acc_seg: 65.4947, loss: 0.6704 +2022-06-18 12:27:50,820 - mmseg - INFO - Iter [52850/160000] lr: 4.125e-05, eta: 6:32:12, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4477, decode.acc_seg: 67.2293, aux.loss_ce: 0.1975, aux.acc_seg: 66.2668, loss: 0.6452 +2022-06-18 12:28:01,385 - mmseg - INFO - Iter [52900/160000] lr: 4.123e-05, eta: 6:32:00, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4413, decode.acc_seg: 66.3041, aux.loss_ce: 0.1952, aux.acc_seg: 65.1628, loss: 0.6365 +2022-06-18 12:28:11,856 - mmseg - INFO - Iter [52950/160000] lr: 4.122e-05, eta: 6:31:48, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4617, decode.acc_seg: 67.5935, aux.loss_ce: 0.2063, aux.acc_seg: 66.2795, loss: 0.6679 +2022-06-18 12:28:22,588 - mmseg - INFO - Saving checkpoint at 53000 iterations +2022-06-18 12:28:24,824 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:28:24,824 - mmseg - INFO - Iter [53000/160000] lr: 4.120e-05, eta: 6:31:41, time: 0.259, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4495, decode.acc_seg: 66.2655, aux.loss_ce: 0.1986, aux.acc_seg: 65.2853, loss: 0.6480 +2022-06-18 12:28:37,903 - mmseg - INFO - Iter [53050/160000] lr: 4.118e-05, eta: 6:31:35, time: 0.262, data_time: 0.051, memory: 36051, decode.loss_ce: 0.4621, decode.acc_seg: 65.5983, aux.loss_ce: 0.2035, aux.acc_seg: 64.5607, loss: 0.6656 +2022-06-18 12:28:48,579 - mmseg - INFO - Iter [53100/160000] lr: 4.116e-05, eta: 6:31:23, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4477, decode.acc_seg: 68.4285, aux.loss_ce: 0.1966, aux.acc_seg: 67.4726, loss: 0.6442 +2022-06-18 12:28:59,209 - mmseg - INFO - Iter [53150/160000] lr: 4.114e-05, eta: 6:31:11, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4333, decode.acc_seg: 66.5926, aux.loss_ce: 0.1920, aux.acc_seg: 65.5956, loss: 0.6253 +2022-06-18 12:29:09,880 - mmseg - INFO - Iter [53200/160000] lr: 4.112e-05, eta: 6:31:00, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4645, decode.acc_seg: 66.3827, aux.loss_ce: 0.2044, aux.acc_seg: 65.3925, loss: 0.6688 +2022-06-18 12:29:20,626 - mmseg - INFO - Iter [53250/160000] lr: 4.110e-05, eta: 6:30:48, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4254, decode.acc_seg: 67.9893, aux.loss_ce: 0.1879, aux.acc_seg: 67.1257, loss: 0.6134 +2022-06-18 12:29:31,324 - mmseg - INFO - Iter [53300/160000] lr: 4.108e-05, eta: 6:30:37, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4474, decode.acc_seg: 67.2889, aux.loss_ce: 0.1964, aux.acc_seg: 66.2948, loss: 0.6437 +2022-06-18 12:29:42,049 - mmseg - INFO - Iter [53350/160000] lr: 4.106e-05, eta: 6:30:25, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4414, decode.acc_seg: 67.1862, aux.loss_ce: 0.1940, aux.acc_seg: 66.2158, loss: 0.6353 +2022-06-18 12:29:52,685 - mmseg - INFO - Iter [53400/160000] lr: 4.104e-05, eta: 6:30:13, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4454, decode.acc_seg: 66.9342, aux.loss_ce: 0.1968, aux.acc_seg: 65.8385, loss: 0.6422 +2022-06-18 12:30:03,104 - mmseg - INFO - Iter [53450/160000] lr: 4.102e-05, eta: 6:30:01, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4505, decode.acc_seg: 66.3230, aux.loss_ce: 0.1996, aux.acc_seg: 65.1793, loss: 0.6502 +2022-06-18 12:30:13,869 - mmseg - INFO - Iter [53500/160000] lr: 4.100e-05, eta: 6:29:50, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4444, decode.acc_seg: 67.0012, aux.loss_ce: 0.1977, aux.acc_seg: 65.8792, loss: 0.6421 +2022-06-18 12:30:24,341 - mmseg - INFO - Iter [53550/160000] lr: 4.098e-05, eta: 6:29:38, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4382, decode.acc_seg: 66.9394, aux.loss_ce: 0.1905, aux.acc_seg: 65.9884, loss: 0.6286 +2022-06-18 12:30:34,734 - mmseg - INFO - Iter [53600/160000] lr: 4.097e-05, eta: 6:29:26, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4481, decode.acc_seg: 66.7585, aux.loss_ce: 0.1974, aux.acc_seg: 65.7482, loss: 0.6454 +2022-06-18 12:30:45,782 - mmseg - INFO - Iter [53650/160000] lr: 4.095e-05, eta: 6:29:15, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4232, decode.acc_seg: 67.7053, aux.loss_ce: 0.1886, aux.acc_seg: 66.5683, loss: 0.6118 +2022-06-18 12:30:56,539 - mmseg - INFO - Iter [53700/160000] lr: 4.093e-05, eta: 6:29:04, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4512, decode.acc_seg: 67.6693, aux.loss_ce: 0.2011, aux.acc_seg: 66.4152, loss: 0.6524 +2022-06-18 12:31:06,981 - mmseg - INFO - Iter [53750/160000] lr: 4.091e-05, eta: 6:28:51, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4332, decode.acc_seg: 66.3936, aux.loss_ce: 0.1891, aux.acc_seg: 65.5295, loss: 0.6224 +2022-06-18 12:31:17,611 - mmseg - INFO - Iter [53800/160000] lr: 4.089e-05, eta: 6:28:40, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4211, decode.acc_seg: 67.5680, aux.loss_ce: 0.1869, aux.acc_seg: 66.4641, loss: 0.6080 +2022-06-18 12:31:28,038 - mmseg - INFO - Iter [53850/160000] lr: 4.087e-05, eta: 6:28:28, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4698, decode.acc_seg: 67.2032, aux.loss_ce: 0.2086, aux.acc_seg: 66.1188, loss: 0.6784 +2022-06-18 12:31:38,692 - mmseg - INFO - Iter [53900/160000] lr: 4.085e-05, eta: 6:28:16, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4636, decode.acc_seg: 66.1833, aux.loss_ce: 0.2025, aux.acc_seg: 65.2285, loss: 0.6661 +2022-06-18 12:31:49,773 - mmseg - INFO - Iter [53950/160000] lr: 4.083e-05, eta: 6:28:05, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4200, decode.acc_seg: 67.0522, aux.loss_ce: 0.1862, aux.acc_seg: 65.9709, loss: 0.6062 +2022-06-18 12:32:00,521 - mmseg - INFO - Saving checkpoint at 54000 iterations +2022-06-18 12:32:03,258 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:32:03,258 - mmseg - INFO - Iter [54000/160000] lr: 4.081e-05, eta: 6:27:59, time: 0.270, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4291, decode.acc_seg: 67.3869, aux.loss_ce: 0.1923, aux.acc_seg: 66.2718, loss: 0.6214 +2022-06-18 12:32:13,799 - mmseg - INFO - Iter [54050/160000] lr: 4.079e-05, eta: 6:27:47, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4298, decode.acc_seg: 67.3400, aux.loss_ce: 0.1900, aux.acc_seg: 66.3667, loss: 0.6198 +2022-06-18 12:32:24,348 - mmseg - INFO - Iter [54100/160000] lr: 4.077e-05, eta: 6:27:36, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4593, decode.acc_seg: 65.4685, aux.loss_ce: 0.2005, aux.acc_seg: 64.5142, loss: 0.6597 +2022-06-18 12:32:35,169 - mmseg - INFO - Iter [54150/160000] lr: 4.075e-05, eta: 6:27:24, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4237, decode.acc_seg: 67.1600, aux.loss_ce: 0.1884, aux.acc_seg: 66.1521, loss: 0.6122 +2022-06-18 12:32:46,102 - mmseg - INFO - Iter [54200/160000] lr: 4.073e-05, eta: 6:27:13, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4484, decode.acc_seg: 66.5061, aux.loss_ce: 0.2007, aux.acc_seg: 65.4085, loss: 0.6492 +2022-06-18 12:32:56,915 - mmseg - INFO - Iter [54250/160000] lr: 4.071e-05, eta: 6:27:02, time: 0.218, data_time: 0.006, memory: 36051, decode.loss_ce: 0.4458, decode.acc_seg: 66.5645, aux.loss_ce: 0.1946, aux.acc_seg: 65.3647, loss: 0.6405 +2022-06-18 12:33:07,417 - mmseg - INFO - Iter [54300/160000] lr: 4.070e-05, eta: 6:26:50, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4277, decode.acc_seg: 68.7486, aux.loss_ce: 0.1891, aux.acc_seg: 67.7840, loss: 0.6168 +2022-06-18 12:33:20,296 - mmseg - INFO - Iter [54350/160000] lr: 4.068e-05, eta: 6:26:43, time: 0.258, data_time: 0.049, memory: 36051, decode.loss_ce: 0.4113, decode.acc_seg: 68.2863, aux.loss_ce: 0.1827, aux.acc_seg: 67.2117, loss: 0.5939 +2022-06-18 12:33:30,738 - mmseg - INFO - Iter [54400/160000] lr: 4.066e-05, eta: 6:26:31, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4384, decode.acc_seg: 67.1793, aux.loss_ce: 0.1952, aux.acc_seg: 66.0904, loss: 0.6336 +2022-06-18 12:33:41,379 - mmseg - INFO - Iter [54450/160000] lr: 4.064e-05, eta: 6:26:19, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4274, decode.acc_seg: 67.1321, aux.loss_ce: 0.1924, aux.acc_seg: 65.8618, loss: 0.6198 +2022-06-18 12:33:52,226 - mmseg - INFO - Iter [54500/160000] lr: 4.062e-05, eta: 6:26:08, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4056, decode.acc_seg: 68.1106, aux.loss_ce: 0.1816, aux.acc_seg: 67.1307, loss: 0.5872 +2022-06-18 12:34:03,126 - mmseg - INFO - Iter [54550/160000] lr: 4.060e-05, eta: 6:25:57, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4335, decode.acc_seg: 67.8447, aux.loss_ce: 0.1912, aux.acc_seg: 66.8851, loss: 0.6247 +2022-06-18 12:34:13,761 - mmseg - INFO - Iter [54600/160000] lr: 4.058e-05, eta: 6:25:45, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4138, decode.acc_seg: 67.6052, aux.loss_ce: 0.1839, aux.acc_seg: 66.6313, loss: 0.5976 +2022-06-18 12:34:24,107 - mmseg - INFO - Iter [54650/160000] lr: 4.056e-05, eta: 6:25:33, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4408, decode.acc_seg: 68.1165, aux.loss_ce: 0.1953, aux.acc_seg: 66.8178, loss: 0.6361 +2022-06-18 12:34:34,442 - mmseg - INFO - Iter [54700/160000] lr: 4.054e-05, eta: 6:25:21, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4312, decode.acc_seg: 66.5810, aux.loss_ce: 0.1927, aux.acc_seg: 65.5265, loss: 0.6239 +2022-06-18 12:34:45,351 - mmseg - INFO - Iter [54750/160000] lr: 4.052e-05, eta: 6:25:10, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4275, decode.acc_seg: 67.0473, aux.loss_ce: 0.1905, aux.acc_seg: 65.7843, loss: 0.6180 +2022-06-18 12:34:55,827 - mmseg - INFO - Iter [54800/160000] lr: 4.050e-05, eta: 6:24:58, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4343, decode.acc_seg: 66.9548, aux.loss_ce: 0.1938, aux.acc_seg: 65.8591, loss: 0.6281 +2022-06-18 12:35:06,287 - mmseg - INFO - Iter [54850/160000] lr: 4.048e-05, eta: 6:24:46, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4358, decode.acc_seg: 66.9649, aux.loss_ce: 0.1931, aux.acc_seg: 65.9191, loss: 0.6290 +2022-06-18 12:35:17,439 - mmseg - INFO - Iter [54900/160000] lr: 4.046e-05, eta: 6:24:35, time: 0.223, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4528, decode.acc_seg: 67.0052, aux.loss_ce: 0.1992, aux.acc_seg: 65.8985, loss: 0.6520 +2022-06-18 12:35:28,324 - mmseg - INFO - Iter [54950/160000] lr: 4.045e-05, eta: 6:24:24, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4380, decode.acc_seg: 66.4223, aux.loss_ce: 0.1939, aux.acc_seg: 65.2684, loss: 0.6319 +2022-06-18 12:35:38,894 - mmseg - INFO - Saving checkpoint at 55000 iterations +2022-06-18 12:35:41,160 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:35:41,161 - mmseg - INFO - Iter [55000/160000] lr: 4.043e-05, eta: 6:24:16, time: 0.257, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4468, decode.acc_seg: 67.2173, aux.loss_ce: 0.1960, aux.acc_seg: 66.2033, loss: 0.6428 +2022-06-18 12:35:51,773 - mmseg - INFO - Iter [55050/160000] lr: 4.041e-05, eta: 6:24:05, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4550, decode.acc_seg: 66.1451, aux.loss_ce: 0.2021, aux.acc_seg: 65.1842, loss: 0.6571 +2022-06-18 12:36:02,632 - mmseg - INFO - Iter [55100/160000] lr: 4.039e-05, eta: 6:23:53, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4697, decode.acc_seg: 66.7804, aux.loss_ce: 0.2074, aux.acc_seg: 65.7894, loss: 0.6771 +2022-06-18 12:36:13,242 - mmseg - INFO - Iter [55150/160000] lr: 4.037e-05, eta: 6:23:42, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4282, decode.acc_seg: 67.5702, aux.loss_ce: 0.1896, aux.acc_seg: 66.4962, loss: 0.6178 +2022-06-18 12:36:24,057 - mmseg - INFO - Iter [55200/160000] lr: 4.035e-05, eta: 6:23:30, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4179, decode.acc_seg: 67.1212, aux.loss_ce: 0.1855, aux.acc_seg: 65.9648, loss: 0.6034 +2022-06-18 12:36:34,472 - mmseg - INFO - Iter [55250/160000] lr: 4.033e-05, eta: 6:23:18, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4521, decode.acc_seg: 67.6342, aux.loss_ce: 0.2014, aux.acc_seg: 66.5620, loss: 0.6535 +2022-06-18 12:36:45,678 - mmseg - INFO - Iter [55300/160000] lr: 4.031e-05, eta: 6:23:08, time: 0.224, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4575, decode.acc_seg: 66.0170, aux.loss_ce: 0.2005, aux.acc_seg: 65.0033, loss: 0.6580 +2022-06-18 12:36:56,647 - mmseg - INFO - Iter [55350/160000] lr: 4.029e-05, eta: 6:22:57, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4646, decode.acc_seg: 66.9035, aux.loss_ce: 0.2030, aux.acc_seg: 65.9672, loss: 0.6676 +2022-06-18 12:37:07,186 - mmseg - INFO - Iter [55400/160000] lr: 4.027e-05, eta: 6:22:45, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4445, decode.acc_seg: 67.5846, aux.loss_ce: 0.1952, aux.acc_seg: 66.5766, loss: 0.6397 +2022-06-18 12:37:17,531 - mmseg - INFO - Iter [55450/160000] lr: 4.025e-05, eta: 6:22:33, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4445, decode.acc_seg: 67.8353, aux.loss_ce: 0.2000, aux.acc_seg: 66.4486, loss: 0.6445 +2022-06-18 12:37:28,093 - mmseg - INFO - Iter [55500/160000] lr: 4.023e-05, eta: 6:22:21, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4115, decode.acc_seg: 67.7499, aux.loss_ce: 0.1840, aux.acc_seg: 66.5425, loss: 0.5955 +2022-06-18 12:37:38,567 - mmseg - INFO - Iter [55550/160000] lr: 4.021e-05, eta: 6:22:09, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4644, decode.acc_seg: 66.7395, aux.loss_ce: 0.2063, aux.acc_seg: 65.5359, loss: 0.6707 +2022-06-18 12:37:51,549 - mmseg - INFO - Iter [55600/160000] lr: 4.020e-05, eta: 6:22:02, time: 0.260, data_time: 0.051, memory: 36051, decode.loss_ce: 0.4695, decode.acc_seg: 66.8241, aux.loss_ce: 0.2055, aux.acc_seg: 65.8678, loss: 0.6750 +2022-06-18 12:38:02,204 - mmseg - INFO - Iter [55650/160000] lr: 4.018e-05, eta: 6:21:50, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4222, decode.acc_seg: 67.5318, aux.loss_ce: 0.1876, aux.acc_seg: 66.4113, loss: 0.6098 +2022-06-18 12:38:12,972 - mmseg - INFO - Iter [55700/160000] lr: 4.016e-05, eta: 6:21:39, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4356, decode.acc_seg: 68.1721, aux.loss_ce: 0.1956, aux.acc_seg: 66.9304, loss: 0.6312 +2022-06-18 12:38:23,581 - mmseg - INFO - Iter [55750/160000] lr: 4.014e-05, eta: 6:21:27, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4300, decode.acc_seg: 66.5773, aux.loss_ce: 0.1907, aux.acc_seg: 65.6580, loss: 0.6207 +2022-06-18 12:38:34,161 - mmseg - INFO - Iter [55800/160000] lr: 4.012e-05, eta: 6:21:16, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4261, decode.acc_seg: 68.4365, aux.loss_ce: 0.1883, aux.acc_seg: 67.4635, loss: 0.6144 +2022-06-18 12:38:44,726 - mmseg - INFO - Iter [55850/160000] lr: 4.010e-05, eta: 6:21:04, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3967, decode.acc_seg: 67.8915, aux.loss_ce: 0.1756, aux.acc_seg: 66.7790, loss: 0.5724 +2022-06-18 12:38:55,296 - mmseg - INFO - Iter [55900/160000] lr: 4.008e-05, eta: 6:20:52, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4424, decode.acc_seg: 68.0721, aux.loss_ce: 0.1968, aux.acc_seg: 66.8521, loss: 0.6393 +2022-06-18 12:39:06,018 - mmseg - INFO - Iter [55950/160000] lr: 4.006e-05, eta: 6:20:41, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4205, decode.acc_seg: 66.1862, aux.loss_ce: 0.1855, aux.acc_seg: 65.2567, loss: 0.6060 +2022-06-18 12:39:16,769 - mmseg - INFO - Saving checkpoint at 56000 iterations +2022-06-18 12:39:18,913 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:39:18,913 - mmseg - INFO - Iter [56000/160000] lr: 4.004e-05, eta: 6:20:33, time: 0.258, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4563, decode.acc_seg: 66.8026, aux.loss_ce: 0.2000, aux.acc_seg: 65.9923, loss: 0.6563 +2022-06-18 12:39:29,365 - mmseg - INFO - Iter [56050/160000] lr: 4.002e-05, eta: 6:20:21, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4394, decode.acc_seg: 67.5688, aux.loss_ce: 0.1941, aux.acc_seg: 66.7439, loss: 0.6335 +2022-06-18 12:39:39,893 - mmseg - INFO - Iter [56100/160000] lr: 4.000e-05, eta: 6:20:10, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4291, decode.acc_seg: 68.5813, aux.loss_ce: 0.1926, aux.acc_seg: 67.2340, loss: 0.6217 +2022-06-18 12:39:50,836 - mmseg - INFO - Iter [56150/160000] lr: 3.998e-05, eta: 6:19:59, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4279, decode.acc_seg: 66.7890, aux.loss_ce: 0.1907, aux.acc_seg: 65.6499, loss: 0.6186 +2022-06-18 12:40:01,628 - mmseg - INFO - Iter [56200/160000] lr: 3.996e-05, eta: 6:19:47, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4467, decode.acc_seg: 67.7221, aux.loss_ce: 0.1968, aux.acc_seg: 66.7603, loss: 0.6435 +2022-06-18 12:40:12,176 - mmseg - INFO - Iter [56250/160000] lr: 3.994e-05, eta: 6:19:35, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3984, decode.acc_seg: 68.6580, aux.loss_ce: 0.1777, aux.acc_seg: 67.5293, loss: 0.5761 +2022-06-18 12:40:22,817 - mmseg - INFO - Iter [56300/160000] lr: 3.993e-05, eta: 6:19:24, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4509, decode.acc_seg: 66.0740, aux.loss_ce: 0.2005, aux.acc_seg: 65.0291, loss: 0.6514 +2022-06-18 12:40:33,315 - mmseg - INFO - Iter [56350/160000] lr: 3.991e-05, eta: 6:19:12, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4424, decode.acc_seg: 68.6807, aux.loss_ce: 0.1939, aux.acc_seg: 67.4126, loss: 0.6363 +2022-06-18 12:40:43,863 - mmseg - INFO - Iter [56400/160000] lr: 3.989e-05, eta: 6:19:00, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4595, decode.acc_seg: 65.1744, aux.loss_ce: 0.2028, aux.acc_seg: 63.9712, loss: 0.6623 +2022-06-18 12:40:54,662 - mmseg - INFO - Iter [56450/160000] lr: 3.987e-05, eta: 6:18:49, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4473, decode.acc_seg: 67.1646, aux.loss_ce: 0.2002, aux.acc_seg: 65.8253, loss: 0.6474 +2022-06-18 12:41:05,126 - mmseg - INFO - Iter [56500/160000] lr: 3.985e-05, eta: 6:18:37, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4354, decode.acc_seg: 68.4022, aux.loss_ce: 0.1926, aux.acc_seg: 67.4148, loss: 0.6280 +2022-06-18 12:41:15,833 - mmseg - INFO - Iter [56550/160000] lr: 3.983e-05, eta: 6:18:26, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4282, decode.acc_seg: 67.5911, aux.loss_ce: 0.1898, aux.acc_seg: 66.6419, loss: 0.6180 +2022-06-18 12:41:26,758 - mmseg - INFO - Iter [56600/160000] lr: 3.981e-05, eta: 6:18:14, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4352, decode.acc_seg: 67.6397, aux.loss_ce: 0.1923, aux.acc_seg: 66.6868, loss: 0.6274 +2022-06-18 12:41:37,305 - mmseg - INFO - Iter [56650/160000] lr: 3.979e-05, eta: 6:18:03, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4402, decode.acc_seg: 67.8043, aux.loss_ce: 0.1972, aux.acc_seg: 66.6312, loss: 0.6374 +2022-06-18 12:41:47,765 - mmseg - INFO - Iter [56700/160000] lr: 3.977e-05, eta: 6:17:51, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4403, decode.acc_seg: 66.5199, aux.loss_ce: 0.1952, aux.acc_seg: 65.5237, loss: 0.6355 +2022-06-18 12:41:58,479 - mmseg - INFO - Iter [56750/160000] lr: 3.975e-05, eta: 6:17:39, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4573, decode.acc_seg: 67.7486, aux.loss_ce: 0.2035, aux.acc_seg: 66.4495, loss: 0.6608 +2022-06-18 12:42:08,936 - mmseg - INFO - Iter [56800/160000] lr: 3.973e-05, eta: 6:17:27, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4315, decode.acc_seg: 66.6580, aux.loss_ce: 0.1924, aux.acc_seg: 65.3995, loss: 0.6240 +2022-06-18 12:42:21,891 - mmseg - INFO - Iter [56850/160000] lr: 3.971e-05, eta: 6:17:20, time: 0.259, data_time: 0.049, memory: 36051, decode.loss_ce: 0.4230, decode.acc_seg: 67.6255, aux.loss_ce: 0.1854, aux.acc_seg: 66.8683, loss: 0.6083 +2022-06-18 12:42:32,623 - mmseg - INFO - Iter [56900/160000] lr: 3.969e-05, eta: 6:17:09, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3919, decode.acc_seg: 67.9355, aux.loss_ce: 0.1785, aux.acc_seg: 66.6799, loss: 0.5704 +2022-06-18 12:42:43,115 - mmseg - INFO - Iter [56950/160000] lr: 3.968e-05, eta: 6:16:57, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3991, decode.acc_seg: 68.9268, aux.loss_ce: 0.1770, aux.acc_seg: 67.7004, loss: 0.5761 +2022-06-18 12:42:53,702 - mmseg - INFO - Saving checkpoint at 57000 iterations +2022-06-18 12:42:55,919 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:42:55,919 - mmseg - INFO - Iter [57000/160000] lr: 3.966e-05, eta: 6:16:49, time: 0.256, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3910, decode.acc_seg: 68.2941, aux.loss_ce: 0.1734, aux.acc_seg: 67.3204, loss: 0.5644 +2022-06-18 12:43:06,640 - mmseg - INFO - Iter [57050/160000] lr: 3.964e-05, eta: 6:16:38, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4097, decode.acc_seg: 67.6008, aux.loss_ce: 0.1826, aux.acc_seg: 66.4407, loss: 0.5922 +2022-06-18 12:43:17,212 - mmseg - INFO - Iter [57100/160000] lr: 3.962e-05, eta: 6:16:26, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4293, decode.acc_seg: 67.6949, aux.loss_ce: 0.1922, aux.acc_seg: 66.4317, loss: 0.6215 +2022-06-18 12:43:27,548 - mmseg - INFO - Iter [57150/160000] lr: 3.960e-05, eta: 6:16:14, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4210, decode.acc_seg: 68.6479, aux.loss_ce: 0.1858, aux.acc_seg: 67.5756, loss: 0.6068 +2022-06-18 12:43:37,953 - mmseg - INFO - Iter [57200/160000] lr: 3.958e-05, eta: 6:16:02, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4172, decode.acc_seg: 67.3667, aux.loss_ce: 0.1863, aux.acc_seg: 66.2853, loss: 0.6034 +2022-06-18 12:43:48,564 - mmseg - INFO - Iter [57250/160000] lr: 3.956e-05, eta: 6:15:50, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4144, decode.acc_seg: 68.6211, aux.loss_ce: 0.1834, aux.acc_seg: 67.6105, loss: 0.5978 +2022-06-18 12:43:58,917 - mmseg - INFO - Iter [57300/160000] lr: 3.954e-05, eta: 6:15:38, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4591, decode.acc_seg: 65.8035, aux.loss_ce: 0.2042, aux.acc_seg: 64.8191, loss: 0.6633 +2022-06-18 12:44:09,444 - mmseg - INFO - Iter [57350/160000] lr: 3.952e-05, eta: 6:15:26, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4434, decode.acc_seg: 67.0768, aux.loss_ce: 0.1955, aux.acc_seg: 66.0143, loss: 0.6389 +2022-06-18 12:44:20,327 - mmseg - INFO - Iter [57400/160000] lr: 3.950e-05, eta: 6:15:15, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4511, decode.acc_seg: 67.5282, aux.loss_ce: 0.1994, aux.acc_seg: 66.2460, loss: 0.6505 +2022-06-18 12:44:30,613 - mmseg - INFO - Iter [57450/160000] lr: 3.948e-05, eta: 6:15:03, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4499, decode.acc_seg: 68.1205, aux.loss_ce: 0.1987, aux.acc_seg: 66.9683, loss: 0.6486 +2022-06-18 12:44:41,187 - mmseg - INFO - Iter [57500/160000] lr: 3.946e-05, eta: 6:14:51, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4324, decode.acc_seg: 67.9584, aux.loss_ce: 0.1917, aux.acc_seg: 67.2349, loss: 0.6242 +2022-06-18 12:44:51,843 - mmseg - INFO - Iter [57550/160000] lr: 3.944e-05, eta: 6:14:40, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4396, decode.acc_seg: 67.5495, aux.loss_ce: 0.1926, aux.acc_seg: 66.6235, loss: 0.6323 +2022-06-18 12:45:02,612 - mmseg - INFO - Iter [57600/160000] lr: 3.943e-05, eta: 6:14:29, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4375, decode.acc_seg: 65.7620, aux.loss_ce: 0.1937, aux.acc_seg: 64.7627, loss: 0.6312 +2022-06-18 12:45:13,477 - mmseg - INFO - Iter [57650/160000] lr: 3.941e-05, eta: 6:14:17, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4656, decode.acc_seg: 70.1647, aux.loss_ce: 0.2063, aux.acc_seg: 69.1439, loss: 0.6719 +2022-06-18 12:45:23,976 - mmseg - INFO - Iter [57700/160000] lr: 3.939e-05, eta: 6:14:06, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4125, decode.acc_seg: 66.9712, aux.loss_ce: 0.1818, aux.acc_seg: 66.0334, loss: 0.5943 +2022-06-18 12:45:34,365 - mmseg - INFO - Iter [57750/160000] lr: 3.937e-05, eta: 6:13:54, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4883, decode.acc_seg: 64.5006, aux.loss_ce: 0.2148, aux.acc_seg: 63.2819, loss: 0.7031 +2022-06-18 12:45:45,224 - mmseg - INFO - Iter [57800/160000] lr: 3.935e-05, eta: 6:13:42, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4327, decode.acc_seg: 67.3607, aux.loss_ce: 0.1930, aux.acc_seg: 66.4182, loss: 0.6257 +2022-06-18 12:45:56,077 - mmseg - INFO - Iter [57850/160000] lr: 3.933e-05, eta: 6:13:31, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4738, decode.acc_seg: 66.0790, aux.loss_ce: 0.2077, aux.acc_seg: 65.1397, loss: 0.6816 +2022-06-18 12:46:06,752 - mmseg - INFO - Iter [57900/160000] lr: 3.931e-05, eta: 6:13:20, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4456, decode.acc_seg: 67.4584, aux.loss_ce: 0.1983, aux.acc_seg: 66.2687, loss: 0.6438 +2022-06-18 12:46:17,307 - mmseg - INFO - Iter [57950/160000] lr: 3.929e-05, eta: 6:13:08, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4421, decode.acc_seg: 66.4414, aux.loss_ce: 0.1966, aux.acc_seg: 65.4441, loss: 0.6387 +2022-06-18 12:46:27,816 - mmseg - INFO - Saving checkpoint at 58000 iterations +2022-06-18 12:46:29,875 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:46:29,875 - mmseg - INFO - Iter [58000/160000] lr: 3.927e-05, eta: 6:13:00, time: 0.251, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4554, decode.acc_seg: 67.0524, aux.loss_ce: 0.1992, aux.acc_seg: 66.1255, loss: 0.6546 +2022-06-18 12:46:40,521 - mmseg - INFO - Iter [58050/160000] lr: 3.925e-05, eta: 6:12:48, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4291, decode.acc_seg: 67.2146, aux.loss_ce: 0.1889, aux.acc_seg: 66.4138, loss: 0.6180 +2022-06-18 12:46:54,091 - mmseg - INFO - Iter [58100/160000] lr: 3.923e-05, eta: 6:12:42, time: 0.271, data_time: 0.050, memory: 36051, decode.loss_ce: 0.4344, decode.acc_seg: 66.5951, aux.loss_ce: 0.1939, aux.acc_seg: 65.3176, loss: 0.6283 +2022-06-18 12:47:04,679 - mmseg - INFO - Iter [58150/160000] lr: 3.921e-05, eta: 6:12:30, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3917, decode.acc_seg: 66.8219, aux.loss_ce: 0.1746, aux.acc_seg: 65.7294, loss: 0.5663 +2022-06-18 12:47:15,511 - mmseg - INFO - Iter [58200/160000] lr: 3.919e-05, eta: 6:12:19, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3949, decode.acc_seg: 67.8849, aux.loss_ce: 0.1793, aux.acc_seg: 66.6092, loss: 0.5742 +2022-06-18 12:47:26,069 - mmseg - INFO - Iter [58250/160000] lr: 3.917e-05, eta: 6:12:07, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4338, decode.acc_seg: 67.7932, aux.loss_ce: 0.1907, aux.acc_seg: 66.9331, loss: 0.6245 +2022-06-18 12:47:36,658 - mmseg - INFO - Iter [58300/160000] lr: 3.916e-05, eta: 6:11:56, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4626, decode.acc_seg: 66.1722, aux.loss_ce: 0.2033, aux.acc_seg: 65.0041, loss: 0.6659 +2022-06-18 12:47:46,933 - mmseg - INFO - Iter [58350/160000] lr: 3.914e-05, eta: 6:11:44, time: 0.206, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4524, decode.acc_seg: 67.1601, aux.loss_ce: 0.2029, aux.acc_seg: 65.7160, loss: 0.6553 +2022-06-18 12:47:57,930 - mmseg - INFO - Iter [58400/160000] lr: 3.912e-05, eta: 6:11:33, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4500, decode.acc_seg: 67.1642, aux.loss_ce: 0.1966, aux.acc_seg: 66.2223, loss: 0.6465 +2022-06-18 12:48:08,362 - mmseg - INFO - Iter [58450/160000] lr: 3.910e-05, eta: 6:11:21, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4191, decode.acc_seg: 67.8033, aux.loss_ce: 0.1859, aux.acc_seg: 66.5818, loss: 0.6050 +2022-06-18 12:48:18,973 - mmseg - INFO - Iter [58500/160000] lr: 3.908e-05, eta: 6:11:09, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4153, decode.acc_seg: 68.8642, aux.loss_ce: 0.1817, aux.acc_seg: 68.0797, loss: 0.5970 +2022-06-18 12:48:29,490 - mmseg - INFO - Iter [58550/160000] lr: 3.906e-05, eta: 6:10:57, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4282, decode.acc_seg: 68.0879, aux.loss_ce: 0.1898, aux.acc_seg: 67.0805, loss: 0.6180 +2022-06-18 12:48:40,002 - mmseg - INFO - Iter [58600/160000] lr: 3.904e-05, eta: 6:10:46, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3997, decode.acc_seg: 67.3420, aux.loss_ce: 0.1774, aux.acc_seg: 66.4177, loss: 0.5771 +2022-06-18 12:48:50,701 - mmseg - INFO - Iter [58650/160000] lr: 3.902e-05, eta: 6:10:34, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4058, decode.acc_seg: 68.0054, aux.loss_ce: 0.1798, aux.acc_seg: 66.9542, loss: 0.5856 +2022-06-18 12:49:00,980 - mmseg - INFO - Iter [58700/160000] lr: 3.900e-05, eta: 6:10:22, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4071, decode.acc_seg: 67.1838, aux.loss_ce: 0.1818, aux.acc_seg: 66.1042, loss: 0.5888 +2022-06-18 12:49:11,867 - mmseg - INFO - Iter [58750/160000] lr: 3.898e-05, eta: 6:10:11, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4164, decode.acc_seg: 68.8930, aux.loss_ce: 0.1847, aux.acc_seg: 67.9462, loss: 0.6010 +2022-06-18 12:49:22,396 - mmseg - INFO - Iter [58800/160000] lr: 3.896e-05, eta: 6:09:59, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4218, decode.acc_seg: 70.2365, aux.loss_ce: 0.1875, aux.acc_seg: 69.1496, loss: 0.6092 +2022-06-18 12:49:33,444 - mmseg - INFO - Iter [58850/160000] lr: 3.894e-05, eta: 6:09:48, time: 0.221, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4484, decode.acc_seg: 67.1197, aux.loss_ce: 0.1955, aux.acc_seg: 66.3070, loss: 0.6440 +2022-06-18 12:49:44,447 - mmseg - INFO - Iter [58900/160000] lr: 3.892e-05, eta: 6:09:37, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4359, decode.acc_seg: 67.7620, aux.loss_ce: 0.1914, aux.acc_seg: 66.8794, loss: 0.6273 +2022-06-18 12:49:55,310 - mmseg - INFO - Iter [58950/160000] lr: 3.891e-05, eta: 6:09:26, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4307, decode.acc_seg: 67.8165, aux.loss_ce: 0.1934, aux.acc_seg: 66.7695, loss: 0.6241 +2022-06-18 12:50:05,987 - mmseg - INFO - Saving checkpoint at 59000 iterations +2022-06-18 12:50:07,260 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:50:07,260 - mmseg - INFO - Iter [59000/160000] lr: 3.889e-05, eta: 6:09:17, time: 0.239, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4309, decode.acc_seg: 67.9906, aux.loss_ce: 0.1916, aux.acc_seg: 67.1363, loss: 0.6226 +2022-06-18 12:50:17,840 - mmseg - INFO - Iter [59050/160000] lr: 3.887e-05, eta: 6:09:05, time: 0.212, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4078, decode.acc_seg: 67.0107, aux.loss_ce: 0.1827, aux.acc_seg: 65.8434, loss: 0.5904 +2022-06-18 12:50:28,583 - mmseg - INFO - Iter [59100/160000] lr: 3.885e-05, eta: 6:08:54, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3968, decode.acc_seg: 67.9347, aux.loss_ce: 0.1784, aux.acc_seg: 66.7800, loss: 0.5753 +2022-06-18 12:50:39,579 - mmseg - INFO - Iter [59150/160000] lr: 3.883e-05, eta: 6:08:43, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4502, decode.acc_seg: 67.0617, aux.loss_ce: 0.2000, aux.acc_seg: 66.0588, loss: 0.6502 +2022-06-18 12:50:50,235 - mmseg - INFO - Iter [59200/160000] lr: 3.881e-05, eta: 6:08:32, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4076, decode.acc_seg: 68.2762, aux.loss_ce: 0.1817, aux.acc_seg: 67.2351, loss: 0.5892 +2022-06-18 12:51:00,808 - mmseg - INFO - Iter [59250/160000] lr: 3.879e-05, eta: 6:08:20, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4485, decode.acc_seg: 67.3022, aux.loss_ce: 0.1991, aux.acc_seg: 66.1895, loss: 0.6475 +2022-06-18 12:51:11,294 - mmseg - INFO - Iter [59300/160000] lr: 3.877e-05, eta: 6:08:08, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4774, decode.acc_seg: 66.8397, aux.loss_ce: 0.2115, aux.acc_seg: 65.6131, loss: 0.6889 +2022-06-18 12:51:21,540 - mmseg - INFO - Iter [59350/160000] lr: 3.875e-05, eta: 6:07:56, time: 0.205, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4337, decode.acc_seg: 66.3287, aux.loss_ce: 0.1946, aux.acc_seg: 65.0781, loss: 0.6284 +2022-06-18 12:51:34,419 - mmseg - INFO - Iter [59400/160000] lr: 3.873e-05, eta: 6:07:48, time: 0.258, data_time: 0.052, memory: 36051, decode.loss_ce: 0.4302, decode.acc_seg: 68.6798, aux.loss_ce: 0.1928, aux.acc_seg: 67.3819, loss: 0.6231 +2022-06-18 12:51:45,047 - mmseg - INFO - Iter [59450/160000] lr: 3.871e-05, eta: 6:07:37, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4213, decode.acc_seg: 69.3689, aux.loss_ce: 0.1822, aux.acc_seg: 68.3785, loss: 0.6035 +2022-06-18 12:51:55,606 - mmseg - INFO - Iter [59500/160000] lr: 3.869e-05, eta: 6:07:25, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3964, decode.acc_seg: 68.8328, aux.loss_ce: 0.1780, aux.acc_seg: 67.7868, loss: 0.5744 +2022-06-18 12:52:05,977 - mmseg - INFO - Iter [59550/160000] lr: 3.867e-05, eta: 6:07:13, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4021, decode.acc_seg: 67.3281, aux.loss_ce: 0.1778, aux.acc_seg: 66.1759, loss: 0.5799 +2022-06-18 12:52:16,741 - mmseg - INFO - Iter [59600/160000] lr: 3.866e-05, eta: 6:07:02, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4282, decode.acc_seg: 68.2609, aux.loss_ce: 0.1876, aux.acc_seg: 67.5757, loss: 0.6159 +2022-06-18 12:52:27,398 - mmseg - INFO - Iter [59650/160000] lr: 3.864e-05, eta: 6:06:50, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3953, decode.acc_seg: 66.7122, aux.loss_ce: 0.1787, aux.acc_seg: 65.5634, loss: 0.5741 +2022-06-18 12:52:38,133 - mmseg - INFO - Iter [59700/160000] lr: 3.862e-05, eta: 6:06:39, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4175, decode.acc_seg: 68.2500, aux.loss_ce: 0.1852, aux.acc_seg: 67.1926, loss: 0.6027 +2022-06-18 12:52:48,755 - mmseg - INFO - Iter [59750/160000] lr: 3.860e-05, eta: 6:06:27, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4224, decode.acc_seg: 67.4325, aux.loss_ce: 0.1861, aux.acc_seg: 66.5706, loss: 0.6085 +2022-06-18 12:52:59,371 - mmseg - INFO - Iter [59800/160000] lr: 3.858e-05, eta: 6:06:16, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4110, decode.acc_seg: 67.3961, aux.loss_ce: 0.1829, aux.acc_seg: 66.1502, loss: 0.5939 +2022-06-18 12:53:10,208 - mmseg - INFO - Iter [59850/160000] lr: 3.856e-05, eta: 6:06:04, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4175, decode.acc_seg: 67.1910, aux.loss_ce: 0.1886, aux.acc_seg: 65.9430, loss: 0.6061 +2022-06-18 12:53:20,953 - mmseg - INFO - Iter [59900/160000] lr: 3.854e-05, eta: 6:05:53, time: 0.216, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4348, decode.acc_seg: 68.5651, aux.loss_ce: 0.1932, aux.acc_seg: 67.4225, loss: 0.6280 +2022-06-18 12:53:31,399 - mmseg - INFO - Iter [59950/160000] lr: 3.852e-05, eta: 6:05:41, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4323, decode.acc_seg: 67.7711, aux.loss_ce: 0.1941, aux.acc_seg: 66.4501, loss: 0.6264 +2022-06-18 12:53:42,125 - mmseg - INFO - Saving checkpoint at 60000 iterations +2022-06-18 12:53:44,384 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:53:44,384 - mmseg - INFO - Iter [60000/160000] lr: 3.850e-05, eta: 6:05:34, time: 0.260, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4413, decode.acc_seg: 66.7615, aux.loss_ce: 0.2004, aux.acc_seg: 65.5589, loss: 0.6417 +2022-06-18 12:53:54,826 - mmseg - INFO - Iter [60050/160000] lr: 3.848e-05, eta: 6:05:22, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4595, decode.acc_seg: 66.8573, aux.loss_ce: 0.2042, aux.acc_seg: 65.8717, loss: 0.6637 +2022-06-18 12:54:05,721 - mmseg - INFO - Iter [60100/160000] lr: 3.846e-05, eta: 6:05:11, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3884, decode.acc_seg: 67.6684, aux.loss_ce: 0.1735, aux.acc_seg: 66.5188, loss: 0.5619 +2022-06-18 12:54:16,326 - mmseg - INFO - Iter [60150/160000] lr: 3.844e-05, eta: 6:04:59, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4123, decode.acc_seg: 67.7076, aux.loss_ce: 0.1863, aux.acc_seg: 66.4321, loss: 0.5986 +2022-06-18 12:54:27,304 - mmseg - INFO - Iter [60200/160000] lr: 3.842e-05, eta: 6:04:48, time: 0.219, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3997, decode.acc_seg: 68.3241, aux.loss_ce: 0.1763, aux.acc_seg: 67.4693, loss: 0.5760 +2022-06-18 12:54:37,959 - mmseg - INFO - Iter [60250/160000] lr: 3.840e-05, eta: 6:04:37, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4208, decode.acc_seg: 67.7111, aux.loss_ce: 0.1905, aux.acc_seg: 66.4870, loss: 0.6114 +2022-06-18 12:54:48,458 - mmseg - INFO - Iter [60300/160000] lr: 3.839e-05, eta: 6:04:25, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3983, decode.acc_seg: 68.0893, aux.loss_ce: 0.1768, aux.acc_seg: 66.9302, loss: 0.5751 +2022-06-18 12:54:59,178 - mmseg - INFO - Iter [60350/160000] lr: 3.837e-05, eta: 6:04:14, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4487, decode.acc_seg: 68.2419, aux.loss_ce: 0.1994, aux.acc_seg: 66.8910, loss: 0.6481 +2022-06-18 12:55:10,050 - mmseg - INFO - Iter [60400/160000] lr: 3.835e-05, eta: 6:04:03, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4341, decode.acc_seg: 68.5090, aux.loss_ce: 0.1943, aux.acc_seg: 67.3614, loss: 0.6284 +2022-06-18 12:55:20,837 - mmseg - INFO - Iter [60450/160000] lr: 3.833e-05, eta: 6:03:51, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4396, decode.acc_seg: 67.7762, aux.loss_ce: 0.1967, aux.acc_seg: 66.5171, loss: 0.6362 +2022-06-18 12:55:31,596 - mmseg - INFO - Iter [60500/160000] lr: 3.831e-05, eta: 6:03:40, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4346, decode.acc_seg: 68.3802, aux.loss_ce: 0.1935, aux.acc_seg: 67.1867, loss: 0.6281 +2022-06-18 12:55:42,343 - mmseg - INFO - Iter [60550/160000] lr: 3.829e-05, eta: 6:03:29, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4349, decode.acc_seg: 65.7000, aux.loss_ce: 0.1926, aux.acc_seg: 64.6359, loss: 0.6275 +2022-06-18 12:55:52,755 - mmseg - INFO - Iter [60600/160000] lr: 3.827e-05, eta: 6:03:17, time: 0.210, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4039, decode.acc_seg: 69.0114, aux.loss_ce: 0.1797, aux.acc_seg: 67.9249, loss: 0.5835 +2022-06-18 12:56:05,892 - mmseg - INFO - Iter [60650/160000] lr: 3.825e-05, eta: 6:03:09, time: 0.263, data_time: 0.050, memory: 36051, decode.loss_ce: 0.4124, decode.acc_seg: 67.9187, aux.loss_ce: 0.1851, aux.acc_seg: 66.6941, loss: 0.5976 +2022-06-18 12:56:16,414 - mmseg - INFO - Iter [60700/160000] lr: 3.823e-05, eta: 6:02:58, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4159, decode.acc_seg: 67.1124, aux.loss_ce: 0.1857, aux.acc_seg: 66.1099, loss: 0.6016 +2022-06-18 12:56:26,943 - mmseg - INFO - Iter [60750/160000] lr: 3.821e-05, eta: 6:02:46, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3990, decode.acc_seg: 66.9035, aux.loss_ce: 0.1769, aux.acc_seg: 65.8865, loss: 0.5759 +2022-06-18 12:56:37,323 - mmseg - INFO - Iter [60800/160000] lr: 3.819e-05, eta: 6:02:34, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4172, decode.acc_seg: 66.6410, aux.loss_ce: 0.1855, aux.acc_seg: 65.4888, loss: 0.6027 +2022-06-18 12:56:47,863 - mmseg - INFO - Iter [60850/160000] lr: 3.817e-05, eta: 6:02:23, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4420, decode.acc_seg: 66.0376, aux.loss_ce: 0.1983, aux.acc_seg: 64.9055, loss: 0.6403 +2022-06-18 12:56:58,233 - mmseg - INFO - Iter [60900/160000] lr: 3.815e-05, eta: 6:02:11, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4029, decode.acc_seg: 68.3253, aux.loss_ce: 0.1808, aux.acc_seg: 67.2646, loss: 0.5837 +2022-06-18 12:57:08,795 - mmseg - INFO - Iter [60950/160000] lr: 3.814e-05, eta: 6:01:59, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4049, decode.acc_seg: 67.4475, aux.loss_ce: 0.1825, aux.acc_seg: 66.3401, loss: 0.5874 +2022-06-18 12:57:19,708 - mmseg - INFO - Saving checkpoint at 61000 iterations +2022-06-18 12:57:21,942 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 12:57:21,942 - mmseg - INFO - Iter [61000/160000] lr: 3.812e-05, eta: 6:01:52, time: 0.263, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4006, decode.acc_seg: 66.7364, aux.loss_ce: 0.1808, aux.acc_seg: 65.4841, loss: 0.5814 +2022-06-18 12:57:32,536 - mmseg - INFO - Iter [61050/160000] lr: 3.810e-05, eta: 6:01:40, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3973, decode.acc_seg: 68.8872, aux.loss_ce: 0.1771, aux.acc_seg: 67.8663, loss: 0.5744 +2022-06-18 12:57:43,113 - mmseg - INFO - Iter [61100/160000] lr: 3.808e-05, eta: 6:01:28, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3840, decode.acc_seg: 68.7544, aux.loss_ce: 0.1697, aux.acc_seg: 67.9726, loss: 0.5537 +2022-06-18 12:57:53,951 - mmseg - INFO - Iter [61150/160000] lr: 3.806e-05, eta: 6:01:17, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4153, decode.acc_seg: 67.1121, aux.loss_ce: 0.1840, aux.acc_seg: 66.4204, loss: 0.5993 +2022-06-18 12:58:04,653 - mmseg - INFO - Iter [61200/160000] lr: 3.804e-05, eta: 6:01:06, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4183, decode.acc_seg: 68.5379, aux.loss_ce: 0.1857, aux.acc_seg: 67.2669, loss: 0.6039 +2022-06-18 12:58:15,002 - mmseg - INFO - Iter [61250/160000] lr: 3.802e-05, eta: 6:00:54, time: 0.209, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4091, decode.acc_seg: 67.9222, aux.loss_ce: 0.1846, aux.acc_seg: 66.6797, loss: 0.5937 +2022-06-18 12:58:25,620 - mmseg - INFO - Iter [61300/160000] lr: 3.800e-05, eta: 6:00:42, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4143, decode.acc_seg: 68.9346, aux.loss_ce: 0.1831, aux.acc_seg: 67.9482, loss: 0.5974 +2022-06-18 12:58:36,257 - mmseg - INFO - Iter [61350/160000] lr: 3.798e-05, eta: 6:00:31, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4067, decode.acc_seg: 67.7138, aux.loss_ce: 0.1822, aux.acc_seg: 66.4582, loss: 0.5889 +2022-06-18 12:58:46,933 - mmseg - INFO - Iter [61400/160000] lr: 3.796e-05, eta: 6:00:19, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4301, decode.acc_seg: 66.8956, aux.loss_ce: 0.1929, aux.acc_seg: 65.7253, loss: 0.6230 +2022-06-18 12:58:57,328 - mmseg - INFO - Iter [61450/160000] lr: 3.794e-05, eta: 6:00:08, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4260, decode.acc_seg: 66.5688, aux.loss_ce: 0.1896, aux.acc_seg: 65.5746, loss: 0.6155 +2022-06-18 12:59:08,274 - mmseg - INFO - Iter [61500/160000] lr: 3.792e-05, eta: 5:59:57, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3984, decode.acc_seg: 68.2136, aux.loss_ce: 0.1777, aux.acc_seg: 67.0976, loss: 0.5761 +2022-06-18 12:59:18,726 - mmseg - INFO - Iter [61550/160000] lr: 3.790e-05, eta: 5:59:45, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4094, decode.acc_seg: 68.1651, aux.loss_ce: 0.1836, aux.acc_seg: 67.1199, loss: 0.5930 +2022-06-18 12:59:29,196 - mmseg - INFO - Iter [61600/160000] lr: 3.789e-05, eta: 5:59:33, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4046, decode.acc_seg: 69.6512, aux.loss_ce: 0.1808, aux.acc_seg: 68.4285, loss: 0.5854 +2022-06-18 12:59:40,081 - mmseg - INFO - Iter [61650/160000] lr: 3.787e-05, eta: 5:59:22, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4501, decode.acc_seg: 66.4150, aux.loss_ce: 0.2014, aux.acc_seg: 65.0879, loss: 0.6516 +2022-06-18 12:59:50,647 - mmseg - INFO - Iter [61700/160000] lr: 3.785e-05, eta: 5:59:10, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4288, decode.acc_seg: 68.2603, aux.loss_ce: 0.1887, aux.acc_seg: 67.2078, loss: 0.6176 +2022-06-18 13:00:00,958 - mmseg - INFO - Iter [61750/160000] lr: 3.783e-05, eta: 5:58:58, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4099, decode.acc_seg: 66.6382, aux.loss_ce: 0.1847, aux.acc_seg: 65.3493, loss: 0.5946 +2022-06-18 13:00:11,457 - mmseg - INFO - Iter [61800/160000] lr: 3.781e-05, eta: 5:58:47, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4171, decode.acc_seg: 68.3375, aux.loss_ce: 0.1848, aux.acc_seg: 67.1337, loss: 0.6018 +2022-06-18 13:00:21,863 - mmseg - INFO - Iter [61850/160000] lr: 3.779e-05, eta: 5:58:35, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4297, decode.acc_seg: 68.1272, aux.loss_ce: 0.1886, aux.acc_seg: 67.3646, loss: 0.6184 +2022-06-18 13:00:34,840 - mmseg - INFO - Iter [61900/160000] lr: 3.777e-05, eta: 5:58:27, time: 0.260, data_time: 0.049, memory: 36051, decode.loss_ce: 0.4409, decode.acc_seg: 66.6649, aux.loss_ce: 0.1950, aux.acc_seg: 65.9026, loss: 0.6359 +2022-06-18 13:00:45,787 - mmseg - INFO - Iter [61950/160000] lr: 3.775e-05, eta: 5:58:16, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4237, decode.acc_seg: 67.6307, aux.loss_ce: 0.1911, aux.acc_seg: 66.3304, loss: 0.6149 +2022-06-18 13:00:56,916 - mmseg - INFO - Saving checkpoint at 62000 iterations +2022-06-18 13:00:58,993 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:00:58,993 - mmseg - INFO - Iter [62000/160000] lr: 3.773e-05, eta: 5:58:09, time: 0.264, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4152, decode.acc_seg: 67.7030, aux.loss_ce: 0.1868, aux.acc_seg: 66.6036, loss: 0.6021 +2022-06-18 13:01:09,633 - mmseg - INFO - Iter [62050/160000] lr: 3.771e-05, eta: 5:57:57, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3697, decode.acc_seg: 67.4791, aux.loss_ce: 0.1661, aux.acc_seg: 66.4229, loss: 0.5358 +2022-06-18 13:01:19,985 - mmseg - INFO - Iter [62100/160000] lr: 3.769e-05, eta: 5:57:45, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3956, decode.acc_seg: 68.3109, aux.loss_ce: 0.1781, aux.acc_seg: 67.2139, loss: 0.5737 +2022-06-18 13:01:30,503 - mmseg - INFO - Iter [62150/160000] lr: 3.767e-05, eta: 5:57:33, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4059, decode.acc_seg: 66.7660, aux.loss_ce: 0.1813, aux.acc_seg: 65.7396, loss: 0.5872 +2022-06-18 13:01:41,293 - mmseg - INFO - Iter [62200/160000] lr: 3.765e-05, eta: 5:57:22, time: 0.217, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4323, decode.acc_seg: 67.7749, aux.loss_ce: 0.1910, aux.acc_seg: 66.8958, loss: 0.6234 +2022-06-18 13:01:51,840 - mmseg - INFO - Iter [62250/160000] lr: 3.763e-05, eta: 5:57:11, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3922, decode.acc_seg: 67.5506, aux.loss_ce: 0.1759, aux.acc_seg: 66.4706, loss: 0.5681 +2022-06-18 13:02:02,427 - mmseg - INFO - Iter [62300/160000] lr: 3.762e-05, eta: 5:56:59, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3676, decode.acc_seg: 68.5383, aux.loss_ce: 0.1683, aux.acc_seg: 67.2197, loss: 0.5358 +2022-06-18 13:02:12,886 - mmseg - INFO - Iter [62350/160000] lr: 3.760e-05, eta: 5:56:47, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4027, decode.acc_seg: 67.7651, aux.loss_ce: 0.1803, aux.acc_seg: 66.7065, loss: 0.5830 +2022-06-18 13:02:23,694 - mmseg - INFO - Iter [62400/160000] lr: 3.758e-05, eta: 5:56:36, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3871, decode.acc_seg: 68.0974, aux.loss_ce: 0.1757, aux.acc_seg: 66.9725, loss: 0.5628 +2022-06-18 13:02:34,172 - mmseg - INFO - Iter [62450/160000] lr: 3.756e-05, eta: 5:56:25, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4054, decode.acc_seg: 68.2240, aux.loss_ce: 0.1801, aux.acc_seg: 67.1954, loss: 0.5856 +2022-06-18 13:02:44,883 - mmseg - INFO - Iter [62500/160000] lr: 3.754e-05, eta: 5:56:13, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3736, decode.acc_seg: 67.6134, aux.loss_ce: 0.1678, aux.acc_seg: 66.4452, loss: 0.5414 +2022-06-18 13:02:55,406 - mmseg - INFO - Iter [62550/160000] lr: 3.752e-05, eta: 5:56:02, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4216, decode.acc_seg: 67.4922, aux.loss_ce: 0.1876, aux.acc_seg: 66.3945, loss: 0.6091 +2022-06-18 13:03:06,287 - mmseg - INFO - Iter [62600/160000] lr: 3.750e-05, eta: 5:55:50, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4125, decode.acc_seg: 66.9412, aux.loss_ce: 0.1846, aux.acc_seg: 65.8916, loss: 0.5971 +2022-06-18 13:03:16,776 - mmseg - INFO - Iter [62650/160000] lr: 3.748e-05, eta: 5:55:39, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4093, decode.acc_seg: 68.8967, aux.loss_ce: 0.1828, aux.acc_seg: 67.9169, loss: 0.5921 +2022-06-18 13:03:27,207 - mmseg - INFO - Iter [62700/160000] lr: 3.746e-05, eta: 5:55:27, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4029, decode.acc_seg: 68.3532, aux.loss_ce: 0.1803, aux.acc_seg: 67.1781, loss: 0.5832 +2022-06-18 13:03:37,922 - mmseg - INFO - Iter [62750/160000] lr: 3.744e-05, eta: 5:55:16, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4014, decode.acc_seg: 68.6940, aux.loss_ce: 0.1781, aux.acc_seg: 67.5756, loss: 0.5795 +2022-06-18 13:03:48,734 - mmseg - INFO - Iter [62800/160000] lr: 3.742e-05, eta: 5:55:04, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4451, decode.acc_seg: 67.3084, aux.loss_ce: 0.1993, aux.acc_seg: 66.3395, loss: 0.6444 +2022-06-18 13:03:59,552 - mmseg - INFO - Iter [62850/160000] lr: 3.740e-05, eta: 5:54:53, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4219, decode.acc_seg: 67.9471, aux.loss_ce: 0.1883, aux.acc_seg: 66.8742, loss: 0.6102 +2022-06-18 13:04:10,270 - mmseg - INFO - Iter [62900/160000] lr: 3.738e-05, eta: 5:54:42, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4038, decode.acc_seg: 68.4908, aux.loss_ce: 0.1845, aux.acc_seg: 66.9951, loss: 0.5883 +2022-06-18 13:04:20,817 - mmseg - INFO - Iter [62950/160000] lr: 3.737e-05, eta: 5:54:30, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4033, decode.acc_seg: 67.0768, aux.loss_ce: 0.1784, aux.acc_seg: 66.2961, loss: 0.5817 +2022-06-18 13:04:31,401 - mmseg - INFO - Saving checkpoint at 63000 iterations +2022-06-18 13:04:32,684 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:04:32,685 - mmseg - INFO - Iter [63000/160000] lr: 3.735e-05, eta: 5:54:21, time: 0.237, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4306, decode.acc_seg: 67.4490, aux.loss_ce: 0.1911, aux.acc_seg: 66.3875, loss: 0.6217 +2022-06-18 13:04:43,542 - mmseg - INFO - Iter [63050/160000] lr: 3.733e-05, eta: 5:54:10, time: 0.217, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4073, decode.acc_seg: 69.2679, aux.loss_ce: 0.1837, aux.acc_seg: 68.3027, loss: 0.5910 +2022-06-18 13:04:54,480 - mmseg - INFO - Iter [63100/160000] lr: 3.731e-05, eta: 5:53:59, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4087, decode.acc_seg: 68.5822, aux.loss_ce: 0.1805, aux.acc_seg: 67.5763, loss: 0.5892 +2022-06-18 13:05:05,042 - mmseg - INFO - Iter [63150/160000] lr: 3.729e-05, eta: 5:53:47, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4142, decode.acc_seg: 68.1597, aux.loss_ce: 0.1847, aux.acc_seg: 66.9809, loss: 0.5989 +2022-06-18 13:05:18,480 - mmseg - INFO - Iter [63200/160000] lr: 3.727e-05, eta: 5:53:40, time: 0.268, data_time: 0.049, memory: 36051, decode.loss_ce: 0.4077, decode.acc_seg: 69.0975, aux.loss_ce: 0.1828, aux.acc_seg: 67.8967, loss: 0.5904 +2022-06-18 13:05:29,145 - mmseg - INFO - Iter [63250/160000] lr: 3.725e-05, eta: 5:53:29, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3936, decode.acc_seg: 69.0232, aux.loss_ce: 0.1762, aux.acc_seg: 67.8806, loss: 0.5698 +2022-06-18 13:05:40,116 - mmseg - INFO - Iter [63300/160000] lr: 3.723e-05, eta: 5:53:18, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4102, decode.acc_seg: 69.3746, aux.loss_ce: 0.1822, aux.acc_seg: 68.3142, loss: 0.5924 +2022-06-18 13:05:50,972 - mmseg - INFO - Iter [63350/160000] lr: 3.721e-05, eta: 5:53:06, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4068, decode.acc_seg: 68.0529, aux.loss_ce: 0.1833, aux.acc_seg: 66.7698, loss: 0.5900 +2022-06-18 13:06:01,639 - mmseg - INFO - Iter [63400/160000] lr: 3.719e-05, eta: 5:52:55, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4491, decode.acc_seg: 67.1318, aux.loss_ce: 0.2005, aux.acc_seg: 65.9580, loss: 0.6497 +2022-06-18 13:06:12,103 - mmseg - INFO - Iter [63450/160000] lr: 3.717e-05, eta: 5:52:43, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4274, decode.acc_seg: 67.2924, aux.loss_ce: 0.1882, aux.acc_seg: 66.2958, loss: 0.6156 +2022-06-18 13:06:22,552 - mmseg - INFO - Iter [63500/160000] lr: 3.715e-05, eta: 5:52:32, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4183, decode.acc_seg: 67.9294, aux.loss_ce: 0.1866, aux.acc_seg: 66.8545, loss: 0.6049 +2022-06-18 13:06:33,144 - mmseg - INFO - Iter [63550/160000] lr: 3.713e-05, eta: 5:52:20, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4108, decode.acc_seg: 68.9772, aux.loss_ce: 0.1821, aux.acc_seg: 67.9881, loss: 0.5929 +2022-06-18 13:06:43,589 - mmseg - INFO - Iter [63600/160000] lr: 3.712e-05, eta: 5:52:08, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4053, decode.acc_seg: 69.6957, aux.loss_ce: 0.1806, aux.acc_seg: 68.7024, loss: 0.5859 +2022-06-18 13:06:54,749 - mmseg - INFO - Iter [63650/160000] lr: 3.710e-05, eta: 5:51:58, time: 0.223, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4347, decode.acc_seg: 67.4379, aux.loss_ce: 0.1954, aux.acc_seg: 66.2122, loss: 0.6301 +2022-06-18 13:07:05,402 - mmseg - INFO - Iter [63700/160000] lr: 3.708e-05, eta: 5:51:46, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4244, decode.acc_seg: 67.9449, aux.loss_ce: 0.1897, aux.acc_seg: 66.6497, loss: 0.6141 +2022-06-18 13:07:16,244 - mmseg - INFO - Iter [63750/160000] lr: 3.706e-05, eta: 5:51:35, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4101, decode.acc_seg: 69.7588, aux.loss_ce: 0.1860, aux.acc_seg: 68.2554, loss: 0.5961 +2022-06-18 13:07:27,055 - mmseg - INFO - Iter [63800/160000] lr: 3.704e-05, eta: 5:51:24, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4042, decode.acc_seg: 68.6204, aux.loss_ce: 0.1804, aux.acc_seg: 67.5786, loss: 0.5845 +2022-06-18 13:07:37,740 - mmseg - INFO - Iter [63850/160000] lr: 3.702e-05, eta: 5:51:13, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4198, decode.acc_seg: 67.7985, aux.loss_ce: 0.1847, aux.acc_seg: 66.8440, loss: 0.6045 +2022-06-18 13:07:48,522 - mmseg - INFO - Iter [63900/160000] lr: 3.700e-05, eta: 5:51:01, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4123, decode.acc_seg: 68.1978, aux.loss_ce: 0.1838, aux.acc_seg: 67.1190, loss: 0.5961 +2022-06-18 13:07:59,233 - mmseg - INFO - Iter [63950/160000] lr: 3.698e-05, eta: 5:50:50, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4056, decode.acc_seg: 69.5702, aux.loss_ce: 0.1830, aux.acc_seg: 68.2396, loss: 0.5886 +2022-06-18 13:08:09,721 - mmseg - INFO - Saving checkpoint at 64000 iterations +2022-06-18 13:08:11,759 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:08:11,760 - mmseg - INFO - Iter [64000/160000] lr: 3.696e-05, eta: 5:50:41, time: 0.251, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4196, decode.acc_seg: 67.9416, aux.loss_ce: 0.1846, aux.acc_seg: 67.0190, loss: 0.6042 +2022-06-18 13:08:29,225 - mmseg - INFO - per class results: +2022-06-18 13:08:29,231 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.23 | 86.59 | +| building | 79.73 | 92.47 | +| sky | 93.5 | 97.48 | +| floor | 77.9 | 89.48 | +| tree | 72.02 | 82.61 | +| ceiling | 80.99 | 88.87 | +| road | 79.82 | 88.06 | +| bed | 83.69 | 93.45 | +| windowpane | 57.36 | 74.34 | +| grass | 62.48 | 77.85 | +| cabinet | 54.31 | 66.29 | +| sidewalk | 57.1 | 75.49 | +| person | 74.79 | 90.48 | +| earth | 30.61 | 43.07 | +| door | 38.66 | 51.8 | +| table | 48.1 | 66.9 | +| mountain | 52.32 | 72.02 | +| plant | 47.94 | 59.59 | +| curtain | 68.33 | 81.46 | +| chair | 45.27 | 60.07 | +| car | 78.51 | 89.09 | +| water | 46.39 | 58.76 | +| painting | 63.97 | 79.41 | +| sofa | 55.89 | 79.93 | +| shelf | 36.23 | 47.77 | +| house | 40.34 | 51.44 | +| sea | 54.73 | 84.43 | +| mirror | 54.73 | 59.25 | +| rug | 55.25 | 62.71 | +| field | 31.12 | 53.49 | +| armchair | 27.95 | 37.07 | +| seat | 55.81 | 69.14 | +| fence | 37.38 | 55.12 | +| desk | 39.37 | 58.76 | +| rock | 39.38 | 57.94 | +| wardrobe | 43.45 | 60.37 | +| lamp | 48.24 | 67.44 | +| bathtub | 61.48 | 80.05 | +| railing | 27.43 | 38.28 | +| cushion | 45.24 | 56.04 | +| base | 21.47 | 32.48 | +| box | 14.52 | 17.93 | +| column | 36.91 | 49.04 | +| signboard | 27.6 | 34.34 | +| chest of drawers | 35.21 | 52.95 | +| counter | 26.17 | 43.63 | +| sand | 38.0 | 65.89 | +| sink | 60.9 | 68.95 | +| skyscraper | 66.94 | 77.31 | +| fireplace | 65.24 | 83.61 | +| refrigerator | 64.31 | 80.56 | +| grandstand | 46.31 | 74.93 | +| path | 21.67 | 31.7 | +| stairs | 20.3 | 26.73 | +| runway | 67.47 | 87.89 | +| case | 37.65 | 71.35 | +| pool table | 90.26 | 96.06 | +| pillow | 50.97 | 63.71 | +| screen door | 58.07 | 71.77 | +| stairway | 21.04 | 27.69 | +| river | 8.93 | 19.23 | +| bridge | 45.31 | 55.6 | +| bookcase | 31.4 | 38.44 | +| blind | 30.67 | 33.89 | +| coffee table | 53.26 | 75.05 | +| toilet | 76.78 | 84.7 | +| flower | 29.06 | 54.25 | +| book | 41.97 | 69.09 | +| hill | 12.65 | 18.11 | +| bench | 31.48 | 45.4 | +| countertop | 47.21 | 65.33 | +| stove | 62.84 | 76.1 | +| palm | 47.86 | 71.59 | +| kitchen island | 30.69 | 60.47 | +| computer | 49.55 | 63.01 | +| swivel chair | 37.36 | 59.61 | +| boat | 54.89 | 69.02 | +| bar | 39.03 | 43.02 | +| arcade machine | 45.48 | 49.86 | +| hovel | 28.58 | 32.34 | +| bus | 76.51 | 84.65 | +| towel | 47.7 | 59.69 | +| light | 47.73 | 55.6 | +| truck | 7.18 | 8.52 | +| tower | 26.17 | 45.73 | +| chandelier | 57.35 | 76.81 | +| awning | 19.3 | 22.55 | +| streetlight | 14.34 | 18.07 | +| booth | 38.82 | 40.22 | +| television receiver | 43.19 | 67.49 | +| airplane | 53.87 | 61.18 | +| dirt track | 6.76 | 10.78 | +| apparel | 33.28 | 63.65 | +| pole | 15.37 | 21.3 | +| land | 7.47 | 17.83 | +| bannister | 1.79 | 2.23 | +| escalator | 22.81 | 36.5 | +| ottoman | 24.33 | 32.58 | +| bottle | 29.12 | 42.46 | +| buffet | 39.63 | 49.3 | +| poster | 14.82 | 17.92 | +| stage | 11.19 | 18.08 | +| van | 46.23 | 54.25 | +| ship | 64.33 | 67.14 | +| fountain | 22.12 | 33.11 | +| conveyer belt | 44.79 | 67.88 | +| canopy | 24.6 | 31.54 | +| washer | 55.23 | 72.7 | +| plaything | 15.11 | 22.92 | +| swimming pool | 59.7 | 76.99 | +| stool | 13.99 | 18.72 | +| barrel | 0.0 | 0.0 | +| basket | 20.16 | 24.6 | +| waterfall | 55.57 | 94.14 | +| tent | 89.55 | 98.78 | +| bag | 0.8 | 0.84 | +| minibike | 47.31 | 57.74 | +| cradle | 75.75 | 95.3 | +| oven | 24.74 | 37.51 | +| ball | 43.63 | 58.54 | +| food | 46.7 | 57.08 | +| step | 3.97 | 4.51 | +| tank | 25.86 | 29.35 | +| trade name | 15.06 | 16.17 | +| microwave | 32.04 | 36.8 | +| pot | 25.27 | 28.79 | +| animal | 53.87 | 60.36 | +| bicycle | 38.79 | 65.56 | +| lake | 54.99 | 59.56 | +| dishwasher | 47.44 | 58.21 | +| screen | 51.97 | 79.59 | +| blanket | 6.74 | 7.42 | +| sculpture | 27.05 | 43.84 | +| hood | 49.89 | 72.04 | +| sconce | 24.87 | 27.0 | +| vase | 19.45 | 33.59 | +| traffic light | 16.84 | 20.6 | +| tray | 4.6 | 6.05 | +| ashcan | 24.89 | 33.81 | +| fan | 45.63 | 60.98 | +| pier | 26.96 | 47.67 | +| crt screen | 6.99 | 26.99 | +| plate | 43.78 | 57.63 | +| monitor | 12.77 | 17.27 | +| bulletin board | 30.57 | 41.29 | +| shower | 0.0 | 0.0 | +| radiator | 48.48 | 62.92 | +| glass | 1.79 | 1.84 | +| clock | 12.02 | 13.5 | +| flag | 28.81 | 32.58 | ++---------------------+-------+-------+ +2022-06-18 13:08:29,232 - mmseg - INFO - Summary: +2022-06-18 13:08:29,232 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 79.55 | 40.45 | 52.64 | ++-------+-------+-------+ +2022-06-18 13:08:29,282 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_48000.pth was removed +2022-06-18 13:08:31,242 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2022-06-18 13:08:31,242 - mmseg - INFO - Best mIoU is 0.4045 at 64000 iter. +2022-06-18 13:08:31,250 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:08:31,251 - mmseg - INFO - Iter(val) [250] aAcc: 0.7955, mIoU: 0.4045, mAcc: 0.5264, IoU.wall: 0.7323, IoU.building: 0.7973, IoU.sky: 0.9350, IoU.floor: 0.7790, IoU.tree: 0.7202, IoU.ceiling: 0.8099, IoU.road: 0.7982, IoU.bed : 0.8369, IoU.windowpane: 0.5736, IoU.grass: 0.6248, IoU.cabinet: 0.5431, IoU.sidewalk: 0.5710, IoU.person: 0.7479, IoU.earth: 0.3061, IoU.door: 0.3866, IoU.table: 0.4810, IoU.mountain: 0.5232, IoU.plant: 0.4794, IoU.curtain: 0.6833, IoU.chair: 0.4527, IoU.car: 0.7851, IoU.water: 0.4639, IoU.painting: 0.6397, IoU.sofa: 0.5589, IoU.shelf: 0.3623, IoU.house: 0.4034, IoU.sea: 0.5473, IoU.mirror: 0.5473, IoU.rug: 0.5525, IoU.field: 0.3112, IoU.armchair: 0.2795, IoU.seat: 0.5581, IoU.fence: 0.3738, IoU.desk: 0.3937, IoU.rock: 0.3938, IoU.wardrobe: 0.4345, IoU.lamp: 0.4824, IoU.bathtub: 0.6148, IoU.railing: 0.2743, IoU.cushion: 0.4524, IoU.base: 0.2147, IoU.box: 0.1452, IoU.column: 0.3691, IoU.signboard: 0.2760, IoU.chest of drawers: 0.3521, IoU.counter: 0.2617, IoU.sand: 0.3800, IoU.sink: 0.6090, IoU.skyscraper: 0.6694, IoU.fireplace: 0.6524, IoU.refrigerator: 0.6431, IoU.grandstand: 0.4631, IoU.path: 0.2167, IoU.stairs: 0.2030, IoU.runway: 0.6747, IoU.case: 0.3765, IoU.pool table: 0.9026, IoU.pillow: 0.5097, IoU.screen door: 0.5807, IoU.stairway: 0.2104, IoU.river: 0.0893, IoU.bridge: 0.4531, IoU.bookcase: 0.3140, IoU.blind: 0.3067, IoU.coffee table: 0.5326, IoU.toilet: 0.7678, IoU.flower: 0.2906, IoU.book: 0.4197, IoU.hill: 0.1265, IoU.bench: 0.3148, IoU.countertop: 0.4721, IoU.stove: 0.6284, IoU.palm: 0.4786, IoU.kitchen island: 0.3069, IoU.computer: 0.4955, IoU.swivel chair: 0.3736, IoU.boat: 0.5489, IoU.bar: 0.3903, IoU.arcade machine: 0.4548, IoU.hovel: 0.2858, IoU.bus: 0.7651, IoU.towel: 0.4770, IoU.light: 0.4773, IoU.truck: 0.0718, IoU.tower: 0.2617, IoU.chandelier: 0.5735, IoU.awning: 0.1930, IoU.streetlight: 0.1434, IoU.booth: 0.3882, IoU.television receiver: 0.4319, IoU.airplane: 0.5387, IoU.dirt track: 0.0676, IoU.apparel: 0.3328, IoU.pole: 0.1537, IoU.land: 0.0747, IoU.bannister: 0.0179, IoU.escalator: 0.2281, IoU.ottoman: 0.2433, IoU.bottle: 0.2912, IoU.buffet: 0.3963, IoU.poster: 0.1482, IoU.stage: 0.1119, IoU.van: 0.4623, IoU.ship: 0.6433, IoU.fountain: 0.2212, IoU.conveyer belt: 0.4479, IoU.canopy: 0.2460, IoU.washer: 0.5523, IoU.plaything: 0.1511, IoU.swimming pool: 0.5970, IoU.stool: 0.1399, IoU.barrel: 0.0000, IoU.basket: 0.2016, IoU.waterfall: 0.5557, IoU.tent: 0.8955, IoU.bag: 0.0080, IoU.minibike: 0.4731, IoU.cradle: 0.7575, IoU.oven: 0.2474, IoU.ball: 0.4363, IoU.food: 0.4670, IoU.step: 0.0397, IoU.tank: 0.2586, IoU.trade name: 0.1506, IoU.microwave: 0.3204, IoU.pot: 0.2527, IoU.animal: 0.5387, IoU.bicycle: 0.3879, IoU.lake: 0.5499, IoU.dishwasher: 0.4744, IoU.screen: 0.5197, IoU.blanket: 0.0674, IoU.sculpture: 0.2705, IoU.hood: 0.4989, IoU.sconce: 0.2487, IoU.vase: 0.1945, IoU.traffic light: 0.1684, IoU.tray: 0.0460, IoU.ashcan: 0.2489, IoU.fan: 0.4563, IoU.pier: 0.2696, IoU.crt screen: 0.0699, IoU.plate: 0.4378, IoU.monitor: 0.1277, IoU.bulletin board: 0.3057, IoU.shower: 0.0000, IoU.radiator: 0.4848, IoU.glass: 0.0179, IoU.clock: 0.1202, IoU.flag: 0.2881, Acc.wall: 0.8659, Acc.building: 0.9247, Acc.sky: 0.9748, Acc.floor: 0.8948, Acc.tree: 0.8261, Acc.ceiling: 0.8887, Acc.road: 0.8806, Acc.bed : 0.9345, Acc.windowpane: 0.7434, Acc.grass: 0.7785, Acc.cabinet: 0.6629, Acc.sidewalk: 0.7549, Acc.person: 0.9048, Acc.earth: 0.4307, Acc.door: 0.5180, Acc.table: 0.6690, Acc.mountain: 0.7202, Acc.plant: 0.5959, Acc.curtain: 0.8146, Acc.chair: 0.6007, Acc.car: 0.8909, Acc.water: 0.5876, Acc.painting: 0.7941, Acc.sofa: 0.7993, Acc.shelf: 0.4777, Acc.house: 0.5144, Acc.sea: 0.8443, Acc.mirror: 0.5925, Acc.rug: 0.6271, Acc.field: 0.5349, Acc.armchair: 0.3707, Acc.seat: 0.6914, Acc.fence: 0.5512, Acc.desk: 0.5876, Acc.rock: 0.5794, Acc.wardrobe: 0.6037, Acc.lamp: 0.6744, Acc.bathtub: 0.8005, Acc.railing: 0.3828, Acc.cushion: 0.5604, Acc.base: 0.3248, Acc.box: 0.1793, Acc.column: 0.4904, Acc.signboard: 0.3434, Acc.chest of drawers: 0.5295, Acc.counter: 0.4363, Acc.sand: 0.6589, Acc.sink: 0.6895, Acc.skyscraper: 0.7731, Acc.fireplace: 0.8361, Acc.refrigerator: 0.8056, Acc.grandstand: 0.7493, Acc.path: 0.3170, Acc.stairs: 0.2673, Acc.runway: 0.8789, Acc.case: 0.7135, Acc.pool table: 0.9606, Acc.pillow: 0.6371, Acc.screen door: 0.7177, Acc.stairway: 0.2769, Acc.river: 0.1923, Acc.bridge: 0.5560, Acc.bookcase: 0.3844, Acc.blind: 0.3389, Acc.coffee table: 0.7505, Acc.toilet: 0.8470, Acc.flower: 0.5425, Acc.book: 0.6909, Acc.hill: 0.1811, Acc.bench: 0.4540, Acc.countertop: 0.6533, Acc.stove: 0.7610, Acc.palm: 0.7159, Acc.kitchen island: 0.6047, Acc.computer: 0.6301, Acc.swivel chair: 0.5961, Acc.boat: 0.6902, Acc.bar: 0.4302, Acc.arcade machine: 0.4986, Acc.hovel: 0.3234, Acc.bus: 0.8465, Acc.towel: 0.5969, Acc.light: 0.5560, Acc.truck: 0.0852, Acc.tower: 0.4573, Acc.chandelier: 0.7681, Acc.awning: 0.2255, Acc.streetlight: 0.1807, Acc.booth: 0.4022, Acc.television receiver: 0.6749, Acc.airplane: 0.6118, Acc.dirt track: 0.1078, Acc.apparel: 0.6365, Acc.pole: 0.2130, Acc.land: 0.1783, Acc.bannister: 0.0223, Acc.escalator: 0.3650, Acc.ottoman: 0.3258, Acc.bottle: 0.4246, Acc.buffet: 0.4930, Acc.poster: 0.1792, Acc.stage: 0.1808, Acc.van: 0.5425, Acc.ship: 0.6714, Acc.fountain: 0.3311, Acc.conveyer belt: 0.6788, Acc.canopy: 0.3154, Acc.washer: 0.7270, Acc.plaything: 0.2292, Acc.swimming pool: 0.7699, Acc.stool: 0.1872, Acc.barrel: 0.0000, Acc.basket: 0.2460, Acc.waterfall: 0.9414, Acc.tent: 0.9878, Acc.bag: 0.0084, Acc.minibike: 0.5774, Acc.cradle: 0.9530, Acc.oven: 0.3751, Acc.ball: 0.5854, Acc.food: 0.5708, Acc.step: 0.0451, Acc.tank: 0.2935, Acc.trade name: 0.1617, Acc.microwave: 0.3680, Acc.pot: 0.2879, Acc.animal: 0.6036, Acc.bicycle: 0.6556, Acc.lake: 0.5956, Acc.dishwasher: 0.5821, Acc.screen: 0.7959, Acc.blanket: 0.0742, Acc.sculpture: 0.4384, Acc.hood: 0.7204, Acc.sconce: 0.2700, Acc.vase: 0.3359, Acc.traffic light: 0.2060, Acc.tray: 0.0605, Acc.ashcan: 0.3381, Acc.fan: 0.6098, Acc.pier: 0.4767, Acc.crt screen: 0.2699, Acc.plate: 0.5763, Acc.monitor: 0.1727, Acc.bulletin board: 0.4129, Acc.shower: 0.0000, Acc.radiator: 0.6292, Acc.glass: 0.0184, Acc.clock: 0.1350, Acc.flag: 0.3258 +2022-06-18 13:08:41,888 - mmseg - INFO - Iter [64050/160000] lr: 3.694e-05, eta: 5:50:59, time: 0.602, data_time: 0.393, memory: 36051, decode.loss_ce: 0.4204, decode.acc_seg: 67.8601, aux.loss_ce: 0.1892, aux.acc_seg: 66.6741, loss: 0.6096 +2022-06-18 13:08:52,501 - mmseg - INFO - Iter [64100/160000] lr: 3.692e-05, eta: 5:50:48, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4287, decode.acc_seg: 67.0775, aux.loss_ce: 0.1887, aux.acc_seg: 66.1325, loss: 0.6174 +2022-06-18 13:09:03,558 - mmseg - INFO - Iter [64150/160000] lr: 3.690e-05, eta: 5:50:37, time: 0.223, data_time: 0.006, memory: 36051, decode.loss_ce: 0.4216, decode.acc_seg: 67.9521, aux.loss_ce: 0.1860, aux.acc_seg: 67.0630, loss: 0.6076 +2022-06-18 13:09:14,219 - mmseg - INFO - Iter [64200/160000] lr: 3.688e-05, eta: 5:50:25, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4232, decode.acc_seg: 67.7015, aux.loss_ce: 0.1884, aux.acc_seg: 66.5777, loss: 0.6115 +2022-06-18 13:09:24,817 - mmseg - INFO - Iter [64250/160000] lr: 3.686e-05, eta: 5:50:14, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4096, decode.acc_seg: 66.2019, aux.loss_ce: 0.1840, aux.acc_seg: 64.8968, loss: 0.5936 +2022-06-18 13:09:35,380 - mmseg - INFO - Iter [64300/160000] lr: 3.685e-05, eta: 5:50:02, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4042, decode.acc_seg: 68.8727, aux.loss_ce: 0.1817, aux.acc_seg: 67.6270, loss: 0.5859 +2022-06-18 13:09:45,843 - mmseg - INFO - Iter [64350/160000] lr: 3.683e-05, eta: 5:49:51, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4094, decode.acc_seg: 69.1659, aux.loss_ce: 0.1861, aux.acc_seg: 67.9050, loss: 0.5955 +2022-06-18 13:09:56,592 - mmseg - INFO - Iter [64400/160000] lr: 3.681e-05, eta: 5:49:39, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4091, decode.acc_seg: 67.1185, aux.loss_ce: 0.1842, aux.acc_seg: 66.0200, loss: 0.5933 +2022-06-18 13:10:09,649 - mmseg - INFO - Iter [64450/160000] lr: 3.679e-05, eta: 5:49:31, time: 0.261, data_time: 0.050, memory: 36051, decode.loss_ce: 0.4188, decode.acc_seg: 67.5640, aux.loss_ce: 0.1879, aux.acc_seg: 66.3830, loss: 0.6067 +2022-06-18 13:10:20,598 - mmseg - INFO - Iter [64500/160000] lr: 3.677e-05, eta: 5:49:20, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4084, decode.acc_seg: 68.1198, aux.loss_ce: 0.1819, aux.acc_seg: 67.0579, loss: 0.5903 +2022-06-18 13:10:31,707 - mmseg - INFO - Iter [64550/160000] lr: 3.675e-05, eta: 5:49:09, time: 0.222, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3895, decode.acc_seg: 67.6696, aux.loss_ce: 0.1771, aux.acc_seg: 66.3146, loss: 0.5665 +2022-06-18 13:10:42,570 - mmseg - INFO - Iter [64600/160000] lr: 3.673e-05, eta: 5:48:58, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3863, decode.acc_seg: 68.3381, aux.loss_ce: 0.1782, aux.acc_seg: 67.2054, loss: 0.5645 +2022-06-18 13:10:53,514 - mmseg - INFO - Iter [64650/160000] lr: 3.671e-05, eta: 5:48:47, time: 0.219, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4019, decode.acc_seg: 67.3675, aux.loss_ce: 0.1814, aux.acc_seg: 65.9972, loss: 0.5833 +2022-06-18 13:11:04,270 - mmseg - INFO - Iter [64700/160000] lr: 3.669e-05, eta: 5:48:36, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4043, decode.acc_seg: 67.8034, aux.loss_ce: 0.1818, aux.acc_seg: 66.6135, loss: 0.5861 +2022-06-18 13:11:14,832 - mmseg - INFO - Iter [64750/160000] lr: 3.667e-05, eta: 5:48:25, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4017, decode.acc_seg: 68.3243, aux.loss_ce: 0.1807, aux.acc_seg: 67.3242, loss: 0.5824 +2022-06-18 13:11:25,734 - mmseg - INFO - Iter [64800/160000] lr: 3.665e-05, eta: 5:48:13, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3888, decode.acc_seg: 68.0715, aux.loss_ce: 0.1773, aux.acc_seg: 66.6682, loss: 0.5661 +2022-06-18 13:11:36,134 - mmseg - INFO - Iter [64850/160000] lr: 3.663e-05, eta: 5:48:02, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3998, decode.acc_seg: 68.0006, aux.loss_ce: 0.1782, aux.acc_seg: 66.8423, loss: 0.5780 +2022-06-18 13:11:46,815 - mmseg - INFO - Iter [64900/160000] lr: 3.661e-05, eta: 5:47:50, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3973, decode.acc_seg: 68.6509, aux.loss_ce: 0.1764, aux.acc_seg: 67.5596, loss: 0.5737 +2022-06-18 13:11:57,325 - mmseg - INFO - Iter [64950/160000] lr: 3.660e-05, eta: 5:47:39, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4240, decode.acc_seg: 66.8249, aux.loss_ce: 0.1898, aux.acc_seg: 65.7293, loss: 0.6138 +2022-06-18 13:12:08,182 - mmseg - INFO - Saving checkpoint at 65000 iterations +2022-06-18 13:12:12,591 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:12:12,592 - mmseg - INFO - Iter [65000/160000] lr: 3.658e-05, eta: 5:47:34, time: 0.305, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3794, decode.acc_seg: 68.7265, aux.loss_ce: 0.1699, aux.acc_seg: 67.8746, loss: 0.5493 +2022-06-18 13:12:23,528 - mmseg - INFO - Iter [65050/160000] lr: 3.656e-05, eta: 5:47:23, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4423, decode.acc_seg: 68.0622, aux.loss_ce: 0.1947, aux.acc_seg: 67.0866, loss: 0.6370 +2022-06-18 13:12:34,216 - mmseg - INFO - Iter [65100/160000] lr: 3.654e-05, eta: 5:47:11, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4241, decode.acc_seg: 67.1159, aux.loss_ce: 0.1884, aux.acc_seg: 65.9652, loss: 0.6125 +2022-06-18 13:12:44,767 - mmseg - INFO - Iter [65150/160000] lr: 3.652e-05, eta: 5:47:00, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4084, decode.acc_seg: 68.8966, aux.loss_ce: 0.1826, aux.acc_seg: 67.7331, loss: 0.5911 +2022-06-18 13:12:55,218 - mmseg - INFO - Iter [65200/160000] lr: 3.650e-05, eta: 5:46:48, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4134, decode.acc_seg: 68.4682, aux.loss_ce: 0.1872, aux.acc_seg: 66.9833, loss: 0.6006 +2022-06-18 13:13:06,041 - mmseg - INFO - Iter [65250/160000] lr: 3.648e-05, eta: 5:46:37, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4050, decode.acc_seg: 69.4035, aux.loss_ce: 0.1799, aux.acc_seg: 68.3304, loss: 0.5849 +2022-06-18 13:13:16,703 - mmseg - INFO - Iter [65300/160000] lr: 3.646e-05, eta: 5:46:25, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4055, decode.acc_seg: 68.0648, aux.loss_ce: 0.1842, aux.acc_seg: 66.8625, loss: 0.5897 +2022-06-18 13:13:27,480 - mmseg - INFO - Iter [65350/160000] lr: 3.644e-05, eta: 5:46:14, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4212, decode.acc_seg: 67.4848, aux.loss_ce: 0.1875, aux.acc_seg: 66.1547, loss: 0.6088 +2022-06-18 13:13:37,867 - mmseg - INFO - Iter [65400/160000] lr: 3.642e-05, eta: 5:46:02, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4353, decode.acc_seg: 67.4577, aux.loss_ce: 0.1960, aux.acc_seg: 66.4184, loss: 0.6313 +2022-06-18 13:13:48,418 - mmseg - INFO - Iter [65450/160000] lr: 3.640e-05, eta: 5:45:51, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4144, decode.acc_seg: 68.5643, aux.loss_ce: 0.1833, aux.acc_seg: 67.5198, loss: 0.5977 +2022-06-18 13:13:59,429 - mmseg - INFO - Iter [65500/160000] lr: 3.638e-05, eta: 5:45:40, time: 0.220, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4165, decode.acc_seg: 68.2247, aux.loss_ce: 0.1867, aux.acc_seg: 67.1645, loss: 0.6032 +2022-06-18 13:14:10,029 - mmseg - INFO - Iter [65550/160000] lr: 3.636e-05, eta: 5:45:28, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3736, decode.acc_seg: 70.3202, aux.loss_ce: 0.1665, aux.acc_seg: 69.2501, loss: 0.5401 +2022-06-18 13:14:20,682 - mmseg - INFO - Iter [65600/160000] lr: 3.635e-05, eta: 5:45:17, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3958, decode.acc_seg: 68.3492, aux.loss_ce: 0.1747, aux.acc_seg: 67.3134, loss: 0.5705 +2022-06-18 13:14:31,363 - mmseg - INFO - Iter [65650/160000] lr: 3.633e-05, eta: 5:45:06, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4150, decode.acc_seg: 66.7206, aux.loss_ce: 0.1859, aux.acc_seg: 65.6951, loss: 0.6010 +2022-06-18 13:14:44,412 - mmseg - INFO - Iter [65700/160000] lr: 3.631e-05, eta: 5:44:58, time: 0.261, data_time: 0.051, memory: 36051, decode.loss_ce: 0.3795, decode.acc_seg: 69.9789, aux.loss_ce: 0.1703, aux.acc_seg: 69.0609, loss: 0.5498 +2022-06-18 13:14:55,296 - mmseg - INFO - Iter [65750/160000] lr: 3.629e-05, eta: 5:44:46, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4156, decode.acc_seg: 66.0267, aux.loss_ce: 0.1877, aux.acc_seg: 64.5926, loss: 0.6033 +2022-06-18 13:15:06,056 - mmseg - INFO - Iter [65800/160000] lr: 3.627e-05, eta: 5:44:35, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3539, decode.acc_seg: 70.4041, aux.loss_ce: 0.1593, aux.acc_seg: 69.1692, loss: 0.5132 +2022-06-18 13:15:16,966 - mmseg - INFO - Iter [65850/160000] lr: 3.625e-05, eta: 5:44:24, time: 0.218, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4109, decode.acc_seg: 68.7616, aux.loss_ce: 0.1847, aux.acc_seg: 67.5687, loss: 0.5956 +2022-06-18 13:15:27,848 - mmseg - INFO - Iter [65900/160000] lr: 3.623e-05, eta: 5:44:13, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3906, decode.acc_seg: 67.6412, aux.loss_ce: 0.1757, aux.acc_seg: 66.5325, loss: 0.5664 +2022-06-18 13:15:38,504 - mmseg - INFO - Iter [65950/160000] lr: 3.621e-05, eta: 5:44:02, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4026, decode.acc_seg: 69.6298, aux.loss_ce: 0.1798, aux.acc_seg: 68.5644, loss: 0.5824 +2022-06-18 13:15:48,897 - mmseg - INFO - Saving checkpoint at 66000 iterations +2022-06-18 13:15:50,934 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:15:50,934 - mmseg - INFO - Iter [66000/160000] lr: 3.619e-05, eta: 5:43:53, time: 0.249, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3988, decode.acc_seg: 67.8958, aux.loss_ce: 0.1807, aux.acc_seg: 66.4572, loss: 0.5795 +2022-06-18 13:16:01,359 - mmseg - INFO - Iter [66050/160000] lr: 3.617e-05, eta: 5:43:41, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4021, decode.acc_seg: 69.9118, aux.loss_ce: 0.1830, aux.acc_seg: 68.6122, loss: 0.5851 +2022-06-18 13:16:11,900 - mmseg - INFO - Iter [66100/160000] lr: 3.615e-05, eta: 5:43:29, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3987, decode.acc_seg: 68.4076, aux.loss_ce: 0.1764, aux.acc_seg: 67.4383, loss: 0.5751 +2022-06-18 13:16:22,489 - mmseg - INFO - Iter [66150/160000] lr: 3.613e-05, eta: 5:43:18, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3948, decode.acc_seg: 68.3958, aux.loss_ce: 0.1762, aux.acc_seg: 67.4802, loss: 0.5710 +2022-06-18 13:16:33,027 - mmseg - INFO - Iter [66200/160000] lr: 3.611e-05, eta: 5:43:06, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4028, decode.acc_seg: 68.1712, aux.loss_ce: 0.1794, aux.acc_seg: 67.1751, loss: 0.5822 +2022-06-18 13:16:43,600 - mmseg - INFO - Iter [66250/160000] lr: 3.609e-05, eta: 5:42:55, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3838, decode.acc_seg: 68.0063, aux.loss_ce: 0.1722, aux.acc_seg: 67.1410, loss: 0.5561 +2022-06-18 13:16:54,319 - mmseg - INFO - Iter [66300/160000] lr: 3.608e-05, eta: 5:42:43, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3862, decode.acc_seg: 66.9925, aux.loss_ce: 0.1745, aux.acc_seg: 66.0033, loss: 0.5607 +2022-06-18 13:17:04,882 - mmseg - INFO - Iter [66350/160000] lr: 3.606e-05, eta: 5:42:32, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4085, decode.acc_seg: 68.5347, aux.loss_ce: 0.1847, aux.acc_seg: 67.2640, loss: 0.5932 +2022-06-18 13:17:15,567 - mmseg - INFO - Iter [66400/160000] lr: 3.604e-05, eta: 5:42:20, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3932, decode.acc_seg: 68.1787, aux.loss_ce: 0.1777, aux.acc_seg: 66.9639, loss: 0.5709 +2022-06-18 13:17:26,107 - mmseg - INFO - Iter [66450/160000] lr: 3.602e-05, eta: 5:42:09, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3917, decode.acc_seg: 68.7601, aux.loss_ce: 0.1750, aux.acc_seg: 67.5935, loss: 0.5667 +2022-06-18 13:17:37,040 - mmseg - INFO - Iter [66500/160000] lr: 3.600e-05, eta: 5:41:58, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4012, decode.acc_seg: 67.3603, aux.loss_ce: 0.1800, aux.acc_seg: 65.9890, loss: 0.5812 +2022-06-18 13:17:47,465 - mmseg - INFO - Iter [66550/160000] lr: 3.598e-05, eta: 5:41:46, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4128, decode.acc_seg: 68.4693, aux.loss_ce: 0.1827, aux.acc_seg: 67.3163, loss: 0.5956 +2022-06-18 13:17:57,985 - mmseg - INFO - Iter [66600/160000] lr: 3.596e-05, eta: 5:41:34, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4167, decode.acc_seg: 69.1713, aux.loss_ce: 0.1877, aux.acc_seg: 68.0256, loss: 0.6044 +2022-06-18 13:18:08,808 - mmseg - INFO - Iter [66650/160000] lr: 3.594e-05, eta: 5:41:23, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3983, decode.acc_seg: 67.8535, aux.loss_ce: 0.1775, aux.acc_seg: 66.9698, loss: 0.5758 +2022-06-18 13:18:19,573 - mmseg - INFO - Iter [66700/160000] lr: 3.592e-05, eta: 5:41:12, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3929, decode.acc_seg: 67.9564, aux.loss_ce: 0.1751, aux.acc_seg: 66.9097, loss: 0.5680 +2022-06-18 13:18:30,049 - mmseg - INFO - Iter [66750/160000] lr: 3.590e-05, eta: 5:41:00, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4079, decode.acc_seg: 68.6528, aux.loss_ce: 0.1806, aux.acc_seg: 67.5473, loss: 0.5885 +2022-06-18 13:18:40,748 - mmseg - INFO - Iter [66800/160000] lr: 3.588e-05, eta: 5:40:49, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4192, decode.acc_seg: 67.2511, aux.loss_ce: 0.1873, aux.acc_seg: 66.2446, loss: 0.6066 +2022-06-18 13:18:51,441 - mmseg - INFO - Iter [66850/160000] lr: 3.586e-05, eta: 5:40:38, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4203, decode.acc_seg: 66.6940, aux.loss_ce: 0.1867, aux.acc_seg: 65.6061, loss: 0.6070 +2022-06-18 13:19:02,280 - mmseg - INFO - Iter [66900/160000] lr: 3.584e-05, eta: 5:40:26, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3950, decode.acc_seg: 68.1802, aux.loss_ce: 0.1793, aux.acc_seg: 66.9111, loss: 0.5743 +2022-06-18 13:19:15,249 - mmseg - INFO - Iter [66950/160000] lr: 3.583e-05, eta: 5:40:18, time: 0.259, data_time: 0.050, memory: 36051, decode.loss_ce: 0.3864, decode.acc_seg: 69.1737, aux.loss_ce: 0.1753, aux.acc_seg: 67.9008, loss: 0.5618 +2022-06-18 13:19:26,123 - mmseg - INFO - Saving checkpoint at 67000 iterations +2022-06-18 13:19:28,217 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:19:28,217 - mmseg - INFO - Iter [67000/160000] lr: 3.581e-05, eta: 5:40:10, time: 0.259, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3943, decode.acc_seg: 69.3965, aux.loss_ce: 0.1778, aux.acc_seg: 68.2849, loss: 0.5721 +2022-06-18 13:19:38,954 - mmseg - INFO - Iter [67050/160000] lr: 3.579e-05, eta: 5:39:59, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3739, decode.acc_seg: 67.9071, aux.loss_ce: 0.1688, aux.acc_seg: 66.7007, loss: 0.5426 +2022-06-18 13:19:49,471 - mmseg - INFO - Iter [67100/160000] lr: 3.577e-05, eta: 5:39:47, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3879, decode.acc_seg: 67.7294, aux.loss_ce: 0.1737, aux.acc_seg: 66.3423, loss: 0.5616 +2022-06-18 13:19:59,768 - mmseg - INFO - Iter [67150/160000] lr: 3.575e-05, eta: 5:39:35, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3886, decode.acc_seg: 69.6602, aux.loss_ce: 0.1751, aux.acc_seg: 68.2600, loss: 0.5637 +2022-06-18 13:20:10,503 - mmseg - INFO - Iter [67200/160000] lr: 3.573e-05, eta: 5:39:24, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3950, decode.acc_seg: 67.7762, aux.loss_ce: 0.1770, aux.acc_seg: 66.5429, loss: 0.5720 +2022-06-18 13:20:21,246 - mmseg - INFO - Iter [67250/160000] lr: 3.571e-05, eta: 5:39:13, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3954, decode.acc_seg: 67.6084, aux.loss_ce: 0.1809, aux.acc_seg: 66.2906, loss: 0.5764 +2022-06-18 13:20:32,099 - mmseg - INFO - Iter [67300/160000] lr: 3.569e-05, eta: 5:39:02, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3999, decode.acc_seg: 70.0821, aux.loss_ce: 0.1771, aux.acc_seg: 69.0678, loss: 0.5769 +2022-06-18 13:20:42,510 - mmseg - INFO - Iter [67350/160000] lr: 3.567e-05, eta: 5:38:50, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3938, decode.acc_seg: 66.9023, aux.loss_ce: 0.1778, aux.acc_seg: 65.5872, loss: 0.5716 +2022-06-18 13:20:53,095 - mmseg - INFO - Iter [67400/160000] lr: 3.565e-05, eta: 5:38:38, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3724, decode.acc_seg: 68.0595, aux.loss_ce: 0.1696, aux.acc_seg: 66.7861, loss: 0.5420 +2022-06-18 13:21:03,534 - mmseg - INFO - Iter [67450/160000] lr: 3.563e-05, eta: 5:38:27, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4098, decode.acc_seg: 67.9520, aux.loss_ce: 0.1839, aux.acc_seg: 66.6826, loss: 0.5937 +2022-06-18 13:21:14,201 - mmseg - INFO - Iter [67500/160000] lr: 3.561e-05, eta: 5:38:15, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4050, decode.acc_seg: 69.9579, aux.loss_ce: 0.1834, aux.acc_seg: 68.6244, loss: 0.5884 +2022-06-18 13:21:24,601 - mmseg - INFO - Iter [67550/160000] lr: 3.559e-05, eta: 5:38:03, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3855, decode.acc_seg: 69.2046, aux.loss_ce: 0.1709, aux.acc_seg: 68.1927, loss: 0.5564 +2022-06-18 13:21:35,179 - mmseg - INFO - Iter [67600/160000] lr: 3.557e-05, eta: 5:37:52, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4133, decode.acc_seg: 66.7947, aux.loss_ce: 0.1876, aux.acc_seg: 65.5833, loss: 0.6008 +2022-06-18 13:21:45,706 - mmseg - INFO - Iter [67650/160000] lr: 3.556e-05, eta: 5:37:40, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3875, decode.acc_seg: 68.8879, aux.loss_ce: 0.1760, aux.acc_seg: 67.7117, loss: 0.5636 +2022-06-18 13:21:56,254 - mmseg - INFO - Iter [67700/160000] lr: 3.554e-05, eta: 5:37:29, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4260, decode.acc_seg: 67.5029, aux.loss_ce: 0.1911, aux.acc_seg: 66.3974, loss: 0.6171 +2022-06-18 13:22:06,883 - mmseg - INFO - Iter [67750/160000] lr: 3.552e-05, eta: 5:37:17, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3912, decode.acc_seg: 67.4408, aux.loss_ce: 0.1753, aux.acc_seg: 66.5129, loss: 0.5664 +2022-06-18 13:22:17,590 - mmseg - INFO - Iter [67800/160000] lr: 3.550e-05, eta: 5:37:06, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4084, decode.acc_seg: 68.1499, aux.loss_ce: 0.1813, aux.acc_seg: 67.2019, loss: 0.5897 +2022-06-18 13:22:28,384 - mmseg - INFO - Iter [67850/160000] lr: 3.548e-05, eta: 5:36:55, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4052, decode.acc_seg: 68.5668, aux.loss_ce: 0.1839, aux.acc_seg: 67.1667, loss: 0.5891 +2022-06-18 13:22:39,132 - mmseg - INFO - Iter [67900/160000] lr: 3.546e-05, eta: 5:36:44, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4127, decode.acc_seg: 67.8852, aux.loss_ce: 0.1837, aux.acc_seg: 66.6376, loss: 0.5963 +2022-06-18 13:22:49,932 - mmseg - INFO - Iter [67950/160000] lr: 3.544e-05, eta: 5:36:32, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3981, decode.acc_seg: 69.0245, aux.loss_ce: 0.1821, aux.acc_seg: 67.6788, loss: 0.5802 +2022-06-18 13:23:00,572 - mmseg - INFO - Saving checkpoint at 68000 iterations +2022-06-18 13:23:02,743 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:23:02,743 - mmseg - INFO - Iter [68000/160000] lr: 3.542e-05, eta: 5:36:24, time: 0.257, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3881, decode.acc_seg: 69.7076, aux.loss_ce: 0.1737, aux.acc_seg: 68.6615, loss: 0.5619 +2022-06-18 13:23:13,250 - mmseg - INFO - Iter [68050/160000] lr: 3.540e-05, eta: 5:36:12, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4279, decode.acc_seg: 67.5495, aux.loss_ce: 0.1900, aux.acc_seg: 66.4507, loss: 0.6179 +2022-06-18 13:23:23,903 - mmseg - INFO - Iter [68100/160000] lr: 3.538e-05, eta: 5:36:01, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3991, decode.acc_seg: 68.4160, aux.loss_ce: 0.1795, aux.acc_seg: 67.0773, loss: 0.5786 +2022-06-18 13:23:34,676 - mmseg - INFO - Iter [68150/160000] lr: 3.536e-05, eta: 5:35:50, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4201, decode.acc_seg: 67.2350, aux.loss_ce: 0.1882, aux.acc_seg: 66.2124, loss: 0.6082 +2022-06-18 13:23:45,080 - mmseg - INFO - Iter [68200/160000] lr: 3.534e-05, eta: 5:35:38, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4081, decode.acc_seg: 67.8741, aux.loss_ce: 0.1844, aux.acc_seg: 66.5980, loss: 0.5924 +2022-06-18 13:23:58,057 - mmseg - INFO - Iter [68250/160000] lr: 3.532e-05, eta: 5:35:30, time: 0.260, data_time: 0.049, memory: 36051, decode.loss_ce: 0.4049, decode.acc_seg: 69.3351, aux.loss_ce: 0.1828, aux.acc_seg: 68.0823, loss: 0.5877 +2022-06-18 13:24:08,738 - mmseg - INFO - Iter [68300/160000] lr: 3.531e-05, eta: 5:35:18, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3625, decode.acc_seg: 69.7073, aux.loss_ce: 0.1637, aux.acc_seg: 68.7138, loss: 0.5261 +2022-06-18 13:24:19,186 - mmseg - INFO - Iter [68350/160000] lr: 3.529e-05, eta: 5:35:07, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4033, decode.acc_seg: 67.5235, aux.loss_ce: 0.1797, aux.acc_seg: 66.7261, loss: 0.5829 +2022-06-18 13:24:30,322 - mmseg - INFO - Iter [68400/160000] lr: 3.527e-05, eta: 5:34:56, time: 0.223, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3941, decode.acc_seg: 68.3856, aux.loss_ce: 0.1755, aux.acc_seg: 67.3300, loss: 0.5696 +2022-06-18 13:24:41,278 - mmseg - INFO - Iter [68450/160000] lr: 3.525e-05, eta: 5:34:45, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4199, decode.acc_seg: 68.7851, aux.loss_ce: 0.1884, aux.acc_seg: 67.5320, loss: 0.6083 +2022-06-18 13:24:51,888 - mmseg - INFO - Iter [68500/160000] lr: 3.523e-05, eta: 5:34:33, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4048, decode.acc_seg: 69.9963, aux.loss_ce: 0.1808, aux.acc_seg: 68.8538, loss: 0.5856 +2022-06-18 13:25:03,010 - mmseg - INFO - Iter [68550/160000] lr: 3.521e-05, eta: 5:34:23, time: 0.223, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3795, decode.acc_seg: 68.1804, aux.loss_ce: 0.1702, aux.acc_seg: 67.1215, loss: 0.5498 +2022-06-18 13:25:13,996 - mmseg - INFO - Iter [68600/160000] lr: 3.519e-05, eta: 5:34:12, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4060, decode.acc_seg: 66.2352, aux.loss_ce: 0.1807, aux.acc_seg: 65.2184, loss: 0.5868 +2022-06-18 13:25:24,406 - mmseg - INFO - Iter [68650/160000] lr: 3.517e-05, eta: 5:34:00, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3896, decode.acc_seg: 68.0789, aux.loss_ce: 0.1748, aux.acc_seg: 66.8581, loss: 0.5643 +2022-06-18 13:25:35,201 - mmseg - INFO - Iter [68700/160000] lr: 3.515e-05, eta: 5:33:49, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3984, decode.acc_seg: 67.6207, aux.loss_ce: 0.1796, aux.acc_seg: 66.3071, loss: 0.5780 +2022-06-18 13:25:45,858 - mmseg - INFO - Iter [68750/160000] lr: 3.513e-05, eta: 5:33:37, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3818, decode.acc_seg: 68.7787, aux.loss_ce: 0.1712, aux.acc_seg: 67.6095, loss: 0.5530 +2022-06-18 13:25:56,524 - mmseg - INFO - Iter [68800/160000] lr: 3.511e-05, eta: 5:33:26, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4041, decode.acc_seg: 68.2964, aux.loss_ce: 0.1797, aux.acc_seg: 67.2836, loss: 0.5838 +2022-06-18 13:26:06,766 - mmseg - INFO - Iter [68850/160000] lr: 3.509e-05, eta: 5:33:14, time: 0.205, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4040, decode.acc_seg: 68.5405, aux.loss_ce: 0.1846, aux.acc_seg: 67.3345, loss: 0.5886 +2022-06-18 13:26:17,732 - mmseg - INFO - Iter [68900/160000] lr: 3.507e-05, eta: 5:33:03, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4013, decode.acc_seg: 68.9503, aux.loss_ce: 0.1817, aux.acc_seg: 67.7282, loss: 0.5830 +2022-06-18 13:26:28,449 - mmseg - INFO - Iter [68950/160000] lr: 3.506e-05, eta: 5:32:52, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4068, decode.acc_seg: 69.0050, aux.loss_ce: 0.1855, aux.acc_seg: 67.7393, loss: 0.5923 +2022-06-18 13:26:39,308 - mmseg - INFO - Saving checkpoint at 69000 iterations +2022-06-18 13:26:41,261 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:26:41,261 - mmseg - INFO - Iter [69000/160000] lr: 3.504e-05, eta: 5:32:43, time: 0.256, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3886, decode.acc_seg: 68.3542, aux.loss_ce: 0.1757, aux.acc_seg: 67.0600, loss: 0.5643 +2022-06-18 13:26:51,689 - mmseg - INFO - Iter [69050/160000] lr: 3.502e-05, eta: 5:32:32, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4086, decode.acc_seg: 67.4338, aux.loss_ce: 0.1841, aux.acc_seg: 66.2617, loss: 0.5928 +2022-06-18 13:27:02,490 - mmseg - INFO - Iter [69100/160000] lr: 3.500e-05, eta: 5:32:20, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3971, decode.acc_seg: 69.3075, aux.loss_ce: 0.1755, aux.acc_seg: 68.3159, loss: 0.5726 +2022-06-18 13:27:13,190 - mmseg - INFO - Iter [69150/160000] lr: 3.498e-05, eta: 5:32:09, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4124, decode.acc_seg: 67.8048, aux.loss_ce: 0.1832, aux.acc_seg: 66.7711, loss: 0.5956 +2022-06-18 13:27:23,749 - mmseg - INFO - Iter [69200/160000] lr: 3.496e-05, eta: 5:31:58, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3988, decode.acc_seg: 68.3221, aux.loss_ce: 0.1782, aux.acc_seg: 67.3588, loss: 0.5770 +2022-06-18 13:27:34,439 - mmseg - INFO - Iter [69250/160000] lr: 3.494e-05, eta: 5:31:46, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3923, decode.acc_seg: 69.2165, aux.loss_ce: 0.1755, aux.acc_seg: 68.1316, loss: 0.5678 +2022-06-18 13:27:44,968 - mmseg - INFO - Iter [69300/160000] lr: 3.492e-05, eta: 5:31:35, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3976, decode.acc_seg: 68.3514, aux.loss_ce: 0.1802, aux.acc_seg: 67.0121, loss: 0.5778 +2022-06-18 13:27:55,282 - mmseg - INFO - Iter [69350/160000] lr: 3.490e-05, eta: 5:31:23, time: 0.206, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3902, decode.acc_seg: 70.3858, aux.loss_ce: 0.1733, aux.acc_seg: 69.2200, loss: 0.5635 +2022-06-18 13:28:05,937 - mmseg - INFO - Iter [69400/160000] lr: 3.488e-05, eta: 5:31:12, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4131, decode.acc_seg: 70.4437, aux.loss_ce: 0.1863, aux.acc_seg: 69.1108, loss: 0.5994 +2022-06-18 13:28:16,684 - mmseg - INFO - Iter [69450/160000] lr: 3.486e-05, eta: 5:31:00, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3698, decode.acc_seg: 69.0798, aux.loss_ce: 0.1651, aux.acc_seg: 68.1123, loss: 0.5349 +2022-06-18 13:28:29,520 - mmseg - INFO - Iter [69500/160000] lr: 3.484e-05, eta: 5:30:52, time: 0.257, data_time: 0.049, memory: 36051, decode.loss_ce: 0.3826, decode.acc_seg: 68.9153, aux.loss_ce: 0.1725, aux.acc_seg: 67.6884, loss: 0.5551 +2022-06-18 13:28:39,801 - mmseg - INFO - Iter [69550/160000] lr: 3.482e-05, eta: 5:30:40, time: 0.206, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3551, decode.acc_seg: 68.4662, aux.loss_ce: 0.1619, aux.acc_seg: 67.1753, loss: 0.5170 +2022-06-18 13:28:50,454 - mmseg - INFO - Iter [69600/160000] lr: 3.480e-05, eta: 5:30:29, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3741, decode.acc_seg: 69.5184, aux.loss_ce: 0.1700, aux.acc_seg: 68.3414, loss: 0.5442 +2022-06-18 13:29:01,325 - mmseg - INFO - Iter [69650/160000] lr: 3.479e-05, eta: 5:30:17, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4093, decode.acc_seg: 69.0502, aux.loss_ce: 0.1821, aux.acc_seg: 67.9316, loss: 0.5914 +2022-06-18 13:29:11,822 - mmseg - INFO - Iter [69700/160000] lr: 3.477e-05, eta: 5:30:06, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4104, decode.acc_seg: 68.5409, aux.loss_ce: 0.1834, aux.acc_seg: 67.4046, loss: 0.5938 +2022-06-18 13:29:22,422 - mmseg - INFO - Iter [69750/160000] lr: 3.475e-05, eta: 5:29:54, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3919, decode.acc_seg: 69.3509, aux.loss_ce: 0.1758, aux.acc_seg: 68.3796, loss: 0.5676 +2022-06-18 13:29:33,431 - mmseg - INFO - Iter [69800/160000] lr: 3.473e-05, eta: 5:29:44, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4266, decode.acc_seg: 68.3939, aux.loss_ce: 0.1924, aux.acc_seg: 66.9905, loss: 0.6189 +2022-06-18 13:29:44,139 - mmseg - INFO - Iter [69850/160000] lr: 3.471e-05, eta: 5:29:32, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3583, decode.acc_seg: 67.9558, aux.loss_ce: 0.1632, aux.acc_seg: 66.7493, loss: 0.5214 +2022-06-18 13:29:55,122 - mmseg - INFO - Iter [69900/160000] lr: 3.469e-05, eta: 5:29:21, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3934, decode.acc_seg: 68.8059, aux.loss_ce: 0.1781, aux.acc_seg: 67.5871, loss: 0.5715 +2022-06-18 13:30:05,893 - mmseg - INFO - Iter [69950/160000] lr: 3.467e-05, eta: 5:29:10, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4206, decode.acc_seg: 67.4422, aux.loss_ce: 0.1900, aux.acc_seg: 66.2788, loss: 0.6106 +2022-06-18 13:30:16,547 - mmseg - INFO - Saving checkpoint at 70000 iterations +2022-06-18 13:30:18,695 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:30:18,695 - mmseg - INFO - Iter [70000/160000] lr: 3.465e-05, eta: 5:29:01, time: 0.256, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3845, decode.acc_seg: 69.6388, aux.loss_ce: 0.1728, aux.acc_seg: 68.4546, loss: 0.5573 +2022-06-18 13:30:29,193 - mmseg - INFO - Iter [70050/160000] lr: 3.463e-05, eta: 5:28:50, time: 0.210, data_time: 0.005, memory: 36051, decode.loss_ce: 0.4115, decode.acc_seg: 68.2611, aux.loss_ce: 0.1846, aux.acc_seg: 67.1022, loss: 0.5962 +2022-06-18 13:30:39,494 - mmseg - INFO - Iter [70100/160000] lr: 3.461e-05, eta: 5:28:38, time: 0.206, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3873, decode.acc_seg: 68.1234, aux.loss_ce: 0.1739, aux.acc_seg: 67.0815, loss: 0.5612 +2022-06-18 13:30:49,939 - mmseg - INFO - Iter [70150/160000] lr: 3.459e-05, eta: 5:28:26, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3894, decode.acc_seg: 69.7748, aux.loss_ce: 0.1747, aux.acc_seg: 68.7810, loss: 0.5641 +2022-06-18 13:31:00,385 - mmseg - INFO - Iter [70200/160000] lr: 3.457e-05, eta: 5:28:15, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3969, decode.acc_seg: 68.8922, aux.loss_ce: 0.1783, aux.acc_seg: 67.7304, loss: 0.5752 +2022-06-18 13:31:10,732 - mmseg - INFO - Iter [70250/160000] lr: 3.455e-05, eta: 5:28:03, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4192, decode.acc_seg: 67.9016, aux.loss_ce: 0.1885, aux.acc_seg: 66.6546, loss: 0.6078 +2022-06-18 13:31:21,298 - mmseg - INFO - Iter [70300/160000] lr: 3.454e-05, eta: 5:27:52, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4139, decode.acc_seg: 68.3274, aux.loss_ce: 0.1877, aux.acc_seg: 66.9417, loss: 0.6016 +2022-06-18 13:31:32,142 - mmseg - INFO - Iter [70350/160000] lr: 3.452e-05, eta: 5:27:40, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4062, decode.acc_seg: 68.1158, aux.loss_ce: 0.1842, aux.acc_seg: 66.6977, loss: 0.5903 +2022-06-18 13:31:42,956 - mmseg - INFO - Iter [70400/160000] lr: 3.450e-05, eta: 5:27:29, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3511, decode.acc_seg: 68.2488, aux.loss_ce: 0.1574, aux.acc_seg: 67.0763, loss: 0.5085 +2022-06-18 13:31:53,540 - mmseg - INFO - Iter [70450/160000] lr: 3.448e-05, eta: 5:27:18, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3962, decode.acc_seg: 69.5346, aux.loss_ce: 0.1763, aux.acc_seg: 68.3643, loss: 0.5725 +2022-06-18 13:32:04,194 - mmseg - INFO - Iter [70500/160000] lr: 3.446e-05, eta: 5:27:06, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4046, decode.acc_seg: 66.7646, aux.loss_ce: 0.1807, aux.acc_seg: 65.6429, loss: 0.5853 +2022-06-18 13:32:14,548 - mmseg - INFO - Iter [70550/160000] lr: 3.444e-05, eta: 5:26:55, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4121, decode.acc_seg: 68.3540, aux.loss_ce: 0.1863, aux.acc_seg: 67.1502, loss: 0.5984 +2022-06-18 13:32:25,088 - mmseg - INFO - Iter [70600/160000] lr: 3.442e-05, eta: 5:26:43, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3700, decode.acc_seg: 69.0509, aux.loss_ce: 0.1655, aux.acc_seg: 68.1168, loss: 0.5355 +2022-06-18 13:32:35,671 - mmseg - INFO - Iter [70650/160000] lr: 3.440e-05, eta: 5:26:32, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3914, decode.acc_seg: 67.8881, aux.loss_ce: 0.1754, aux.acc_seg: 66.9390, loss: 0.5668 +2022-06-18 13:32:46,144 - mmseg - INFO - Iter [70700/160000] lr: 3.438e-05, eta: 5:26:20, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3870, decode.acc_seg: 68.5732, aux.loss_ce: 0.1701, aux.acc_seg: 67.7139, loss: 0.5571 +2022-06-18 13:32:58,960 - mmseg - INFO - Iter [70750/160000] lr: 3.436e-05, eta: 5:26:12, time: 0.256, data_time: 0.049, memory: 36051, decode.loss_ce: 0.3744, decode.acc_seg: 68.0529, aux.loss_ce: 0.1708, aux.acc_seg: 66.7958, loss: 0.5452 +2022-06-18 13:33:09,607 - mmseg - INFO - Iter [70800/160000] lr: 3.434e-05, eta: 5:26:00, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3942, decode.acc_seg: 69.6595, aux.loss_ce: 0.1781, aux.acc_seg: 68.4707, loss: 0.5723 +2022-06-18 13:33:20,139 - mmseg - INFO - Iter [70850/160000] lr: 3.432e-05, eta: 5:25:49, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3940, decode.acc_seg: 68.3521, aux.loss_ce: 0.1790, aux.acc_seg: 67.1479, loss: 0.5730 +2022-06-18 13:33:31,180 - mmseg - INFO - Iter [70900/160000] lr: 3.430e-05, eta: 5:25:38, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3619, decode.acc_seg: 69.8097, aux.loss_ce: 0.1638, aux.acc_seg: 68.6088, loss: 0.5257 +2022-06-18 13:33:41,923 - mmseg - INFO - Iter [70950/160000] lr: 3.429e-05, eta: 5:25:27, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3887, decode.acc_seg: 70.0706, aux.loss_ce: 0.1776, aux.acc_seg: 68.7675, loss: 0.5663 +2022-06-18 13:33:52,424 - mmseg - INFO - Saving checkpoint at 71000 iterations +2022-06-18 13:33:55,528 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:33:55,529 - mmseg - INFO - Iter [71000/160000] lr: 3.427e-05, eta: 5:25:19, time: 0.272, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3732, decode.acc_seg: 68.5430, aux.loss_ce: 0.1682, aux.acc_seg: 67.3027, loss: 0.5413 +2022-06-18 13:34:06,394 - mmseg - INFO - Iter [71050/160000] lr: 3.425e-05, eta: 5:25:08, time: 0.218, data_time: 0.006, memory: 36051, decode.loss_ce: 0.3591, decode.acc_seg: 68.9624, aux.loss_ce: 0.1646, aux.acc_seg: 67.5911, loss: 0.5236 +2022-06-18 13:34:17,523 - mmseg - INFO - Iter [71100/160000] lr: 3.423e-05, eta: 5:24:57, time: 0.223, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3662, decode.acc_seg: 68.6555, aux.loss_ce: 0.1662, aux.acc_seg: 67.4888, loss: 0.5324 +2022-06-18 13:34:28,129 - mmseg - INFO - Iter [71150/160000] lr: 3.421e-05, eta: 5:24:46, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3862, decode.acc_seg: 68.2833, aux.loss_ce: 0.1767, aux.acc_seg: 67.0640, loss: 0.5629 +2022-06-18 13:34:39,156 - mmseg - INFO - Iter [71200/160000] lr: 3.419e-05, eta: 5:24:35, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3895, decode.acc_seg: 69.6490, aux.loss_ce: 0.1730, aux.acc_seg: 68.7668, loss: 0.5625 +2022-06-18 13:34:49,942 - mmseg - INFO - Iter [71250/160000] lr: 3.417e-05, eta: 5:24:24, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3922, decode.acc_seg: 68.8356, aux.loss_ce: 0.1775, aux.acc_seg: 67.5272, loss: 0.5697 +2022-06-18 13:35:00,982 - mmseg - INFO - Iter [71300/160000] lr: 3.415e-05, eta: 5:24:13, time: 0.221, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3713, decode.acc_seg: 67.8912, aux.loss_ce: 0.1684, aux.acc_seg: 66.8246, loss: 0.5397 +2022-06-18 13:35:11,716 - mmseg - INFO - Iter [71350/160000] lr: 3.413e-05, eta: 5:24:01, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3963, decode.acc_seg: 68.2919, aux.loss_ce: 0.1793, aux.acc_seg: 67.0313, loss: 0.5756 +2022-06-18 13:35:22,330 - mmseg - INFO - Iter [71400/160000] lr: 3.411e-05, eta: 5:23:50, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3838, decode.acc_seg: 67.6748, aux.loss_ce: 0.1733, aux.acc_seg: 66.5777, loss: 0.5571 +2022-06-18 13:35:32,984 - mmseg - INFO - Iter [71450/160000] lr: 3.409e-05, eta: 5:23:39, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3867, decode.acc_seg: 69.6065, aux.loss_ce: 0.1710, aux.acc_seg: 68.5106, loss: 0.5577 +2022-06-18 13:35:43,647 - mmseg - INFO - Iter [71500/160000] lr: 3.407e-05, eta: 5:23:27, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3792, decode.acc_seg: 68.7822, aux.loss_ce: 0.1724, aux.acc_seg: 67.6337, loss: 0.5516 +2022-06-18 13:35:54,476 - mmseg - INFO - Iter [71550/160000] lr: 3.405e-05, eta: 5:23:16, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3740, decode.acc_seg: 69.6238, aux.loss_ce: 0.1709, aux.acc_seg: 68.3823, loss: 0.5449 +2022-06-18 13:36:05,226 - mmseg - INFO - Iter [71600/160000] lr: 3.403e-05, eta: 5:23:05, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3664, decode.acc_seg: 68.8004, aux.loss_ce: 0.1672, aux.acc_seg: 67.2907, loss: 0.5335 +2022-06-18 13:36:15,756 - mmseg - INFO - Iter [71650/160000] lr: 3.402e-05, eta: 5:22:53, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3870, decode.acc_seg: 67.8937, aux.loss_ce: 0.1738, aux.acc_seg: 66.6096, loss: 0.5608 +2022-06-18 13:36:26,469 - mmseg - INFO - Iter [71700/160000] lr: 3.400e-05, eta: 5:22:42, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3722, decode.acc_seg: 69.4332, aux.loss_ce: 0.1702, aux.acc_seg: 68.3553, loss: 0.5424 +2022-06-18 13:36:36,985 - mmseg - INFO - Iter [71750/160000] lr: 3.398e-05, eta: 5:22:31, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3955, decode.acc_seg: 68.7418, aux.loss_ce: 0.1785, aux.acc_seg: 67.5552, loss: 0.5740 +2022-06-18 13:36:47,714 - mmseg - INFO - Iter [71800/160000] lr: 3.396e-05, eta: 5:22:19, time: 0.215, data_time: 0.005, memory: 36051, decode.loss_ce: 0.3787, decode.acc_seg: 67.6697, aux.loss_ce: 0.1717, aux.acc_seg: 66.3283, loss: 0.5504 +2022-06-18 13:36:58,056 - mmseg - INFO - Iter [71850/160000] lr: 3.394e-05, eta: 5:22:08, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3977, decode.acc_seg: 68.3288, aux.loss_ce: 0.1789, aux.acc_seg: 67.1020, loss: 0.5766 +2022-06-18 13:37:09,098 - mmseg - INFO - Iter [71900/160000] lr: 3.392e-05, eta: 5:21:57, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3835, decode.acc_seg: 68.6498, aux.loss_ce: 0.1741, aux.acc_seg: 67.3136, loss: 0.5576 +2022-06-18 13:37:19,662 - mmseg - INFO - Iter [71950/160000] lr: 3.390e-05, eta: 5:21:45, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3864, decode.acc_seg: 68.3846, aux.loss_ce: 0.1728, aux.acc_seg: 67.4372, loss: 0.5592 +2022-06-18 13:37:32,558 - mmseg - INFO - Saving checkpoint at 72000 iterations +2022-06-18 13:37:34,588 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:37:34,588 - mmseg - INFO - Iter [72000/160000] lr: 3.388e-05, eta: 5:21:39, time: 0.299, data_time: 0.050, memory: 36051, decode.loss_ce: 0.3700, decode.acc_seg: 69.4175, aux.loss_ce: 0.1659, aux.acc_seg: 68.4607, loss: 0.5360 +2022-06-18 13:37:45,353 - mmseg - INFO - Iter [72050/160000] lr: 3.386e-05, eta: 5:21:28, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3738, decode.acc_seg: 69.2060, aux.loss_ce: 0.1675, aux.acc_seg: 68.1273, loss: 0.5413 +2022-06-18 13:37:55,789 - mmseg - INFO - Iter [72100/160000] lr: 3.384e-05, eta: 5:21:16, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4046, decode.acc_seg: 68.6855, aux.loss_ce: 0.1804, aux.acc_seg: 67.6046, loss: 0.5850 +2022-06-18 13:38:06,414 - mmseg - INFO - Iter [72150/160000] lr: 3.382e-05, eta: 5:21:05, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3748, decode.acc_seg: 69.7525, aux.loss_ce: 0.1703, aux.acc_seg: 68.6673, loss: 0.5451 +2022-06-18 13:38:17,009 - mmseg - INFO - Iter [72200/160000] lr: 3.380e-05, eta: 5:20:54, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3643, decode.acc_seg: 69.1469, aux.loss_ce: 0.1663, aux.acc_seg: 67.9127, loss: 0.5306 +2022-06-18 13:38:27,376 - mmseg - INFO - Iter [72250/160000] lr: 3.378e-05, eta: 5:20:42, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3788, decode.acc_seg: 68.3470, aux.loss_ce: 0.1704, aux.acc_seg: 67.1415, loss: 0.5492 +2022-06-18 13:38:37,770 - mmseg - INFO - Iter [72300/160000] lr: 3.377e-05, eta: 5:20:30, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3790, decode.acc_seg: 68.8698, aux.loss_ce: 0.1713, aux.acc_seg: 67.6790, loss: 0.5504 +2022-06-18 13:38:48,318 - mmseg - INFO - Iter [72350/160000] lr: 3.375e-05, eta: 5:20:19, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3841, decode.acc_seg: 67.9583, aux.loss_ce: 0.1737, aux.acc_seg: 66.7270, loss: 0.5578 +2022-06-18 13:38:59,219 - mmseg - INFO - Iter [72400/160000] lr: 3.373e-05, eta: 5:20:08, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3702, decode.acc_seg: 69.7458, aux.loss_ce: 0.1705, aux.acc_seg: 68.3265, loss: 0.5408 +2022-06-18 13:39:09,995 - mmseg - INFO - Iter [72450/160000] lr: 3.371e-05, eta: 5:19:57, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4012, decode.acc_seg: 68.5409, aux.loss_ce: 0.1790, aux.acc_seg: 67.5511, loss: 0.5803 +2022-06-18 13:39:20,976 - mmseg - INFO - Iter [72500/160000] lr: 3.369e-05, eta: 5:19:46, time: 0.220, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3699, decode.acc_seg: 69.6211, aux.loss_ce: 0.1665, aux.acc_seg: 68.5696, loss: 0.5363 +2022-06-18 13:39:31,319 - mmseg - INFO - Iter [72550/160000] lr: 3.367e-05, eta: 5:19:34, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3867, decode.acc_seg: 69.2734, aux.loss_ce: 0.1759, aux.acc_seg: 68.0779, loss: 0.5627 +2022-06-18 13:39:42,062 - mmseg - INFO - Iter [72600/160000] lr: 3.365e-05, eta: 5:19:23, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3921, decode.acc_seg: 69.7624, aux.loss_ce: 0.1763, aux.acc_seg: 68.5793, loss: 0.5684 +2022-06-18 13:39:53,031 - mmseg - INFO - Iter [72650/160000] lr: 3.363e-05, eta: 5:19:12, time: 0.219, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3719, decode.acc_seg: 70.0566, aux.loss_ce: 0.1681, aux.acc_seg: 68.7539, loss: 0.5399 +2022-06-18 13:40:04,071 - mmseg - INFO - Iter [72700/160000] lr: 3.361e-05, eta: 5:19:01, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3788, decode.acc_seg: 68.0764, aux.loss_ce: 0.1698, aux.acc_seg: 67.0374, loss: 0.5486 +2022-06-18 13:40:14,580 - mmseg - INFO - Iter [72750/160000] lr: 3.359e-05, eta: 5:18:49, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3629, decode.acc_seg: 71.6701, aux.loss_ce: 0.1653, aux.acc_seg: 70.5275, loss: 0.5282 +2022-06-18 13:40:25,419 - mmseg - INFO - Iter [72800/160000] lr: 3.357e-05, eta: 5:18:38, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3798, decode.acc_seg: 68.4510, aux.loss_ce: 0.1698, aux.acc_seg: 67.3042, loss: 0.5497 +2022-06-18 13:40:36,049 - mmseg - INFO - Iter [72850/160000] lr: 3.355e-05, eta: 5:18:27, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3927, decode.acc_seg: 68.4389, aux.loss_ce: 0.1759, aux.acc_seg: 67.4635, loss: 0.5686 +2022-06-18 13:40:46,790 - mmseg - INFO - Iter [72900/160000] lr: 3.353e-05, eta: 5:18:16, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3994, decode.acc_seg: 68.2167, aux.loss_ce: 0.1792, aux.acc_seg: 67.2213, loss: 0.5785 +2022-06-18 13:40:57,621 - mmseg - INFO - Iter [72950/160000] lr: 3.352e-05, eta: 5:18:05, time: 0.216, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3865, decode.acc_seg: 68.3124, aux.loss_ce: 0.1772, aux.acc_seg: 66.9898, loss: 0.5637 +2022-06-18 13:41:08,456 - mmseg - INFO - Saving checkpoint at 73000 iterations +2022-06-18 13:41:09,695 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:41:09,695 - mmseg - INFO - Iter [73000/160000] lr: 3.350e-05, eta: 5:17:55, time: 0.242, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3999, decode.acc_seg: 68.0630, aux.loss_ce: 0.1767, aux.acc_seg: 67.0969, loss: 0.5766 +2022-06-18 13:41:20,438 - mmseg - INFO - Iter [73050/160000] lr: 3.348e-05, eta: 5:17:44, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3700, decode.acc_seg: 69.2628, aux.loss_ce: 0.1681, aux.acc_seg: 68.1192, loss: 0.5380 +2022-06-18 13:41:31,171 - mmseg - INFO - Iter [73100/160000] lr: 3.346e-05, eta: 5:17:32, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3825, decode.acc_seg: 69.3152, aux.loss_ce: 0.1736, aux.acc_seg: 68.0835, loss: 0.5561 +2022-06-18 13:41:41,703 - mmseg - INFO - Iter [73150/160000] lr: 3.344e-05, eta: 5:17:21, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3939, decode.acc_seg: 68.8641, aux.loss_ce: 0.1771, aux.acc_seg: 67.7467, loss: 0.5709 +2022-06-18 13:41:52,591 - mmseg - INFO - Iter [73200/160000] lr: 3.342e-05, eta: 5:17:10, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3912, decode.acc_seg: 69.4414, aux.loss_ce: 0.1783, aux.acc_seg: 67.9495, loss: 0.5695 +2022-06-18 13:42:03,182 - mmseg - INFO - Iter [73250/160000] lr: 3.340e-05, eta: 5:16:59, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3950, decode.acc_seg: 68.5404, aux.loss_ce: 0.1790, aux.acc_seg: 67.1599, loss: 0.5740 +2022-06-18 13:42:16,154 - mmseg - INFO - Iter [73300/160000] lr: 3.338e-05, eta: 5:16:50, time: 0.259, data_time: 0.050, memory: 36051, decode.loss_ce: 0.3878, decode.acc_seg: 69.9665, aux.loss_ce: 0.1727, aux.acc_seg: 68.7584, loss: 0.5604 +2022-06-18 13:42:26,670 - mmseg - INFO - Iter [73350/160000] lr: 3.336e-05, eta: 5:16:38, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3804, decode.acc_seg: 69.0805, aux.loss_ce: 0.1734, aux.acc_seg: 67.8996, loss: 0.5538 +2022-06-18 13:42:37,270 - mmseg - INFO - Iter [73400/160000] lr: 3.334e-05, eta: 5:16:27, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3732, decode.acc_seg: 69.7160, aux.loss_ce: 0.1688, aux.acc_seg: 68.4312, loss: 0.5420 +2022-06-18 13:42:48,027 - mmseg - INFO - Iter [73450/160000] lr: 3.332e-05, eta: 5:16:16, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3771, decode.acc_seg: 67.1364, aux.loss_ce: 0.1700, aux.acc_seg: 66.0271, loss: 0.5471 +2022-06-18 13:42:58,449 - mmseg - INFO - Iter [73500/160000] lr: 3.330e-05, eta: 5:16:04, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3801, decode.acc_seg: 67.2799, aux.loss_ce: 0.1690, aux.acc_seg: 66.3203, loss: 0.5491 +2022-06-18 13:43:09,329 - mmseg - INFO - Iter [73550/160000] lr: 3.328e-05, eta: 5:15:53, time: 0.218, data_time: 0.005, memory: 36051, decode.loss_ce: 0.3768, decode.acc_seg: 68.7708, aux.loss_ce: 0.1717, aux.acc_seg: 67.5935, loss: 0.5485 +2022-06-18 13:43:20,222 - mmseg - INFO - Iter [73600/160000] lr: 3.326e-05, eta: 5:15:42, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3627, decode.acc_seg: 70.5790, aux.loss_ce: 0.1677, aux.acc_seg: 69.2524, loss: 0.5304 +2022-06-18 13:43:30,895 - mmseg - INFO - Iter [73650/160000] lr: 3.325e-05, eta: 5:15:31, time: 0.214, data_time: 0.005, memory: 36051, decode.loss_ce: 0.3800, decode.acc_seg: 69.0249, aux.loss_ce: 0.1736, aux.acc_seg: 67.8103, loss: 0.5536 +2022-06-18 13:43:41,330 - mmseg - INFO - Iter [73700/160000] lr: 3.323e-05, eta: 5:15:19, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4016, decode.acc_seg: 68.9535, aux.loss_ce: 0.1802, aux.acc_seg: 67.8560, loss: 0.5818 +2022-06-18 13:43:52,017 - mmseg - INFO - Iter [73750/160000] lr: 3.321e-05, eta: 5:15:08, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3673, decode.acc_seg: 69.1794, aux.loss_ce: 0.1687, aux.acc_seg: 67.9206, loss: 0.5360 +2022-06-18 13:44:02,754 - mmseg - INFO - Iter [73800/160000] lr: 3.319e-05, eta: 5:14:57, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3817, decode.acc_seg: 68.7488, aux.loss_ce: 0.1732, aux.acc_seg: 67.5292, loss: 0.5549 +2022-06-18 13:44:13,205 - mmseg - INFO - Iter [73850/160000] lr: 3.317e-05, eta: 5:14:45, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3557, decode.acc_seg: 69.2993, aux.loss_ce: 0.1608, aux.acc_seg: 68.2734, loss: 0.5164 +2022-06-18 13:44:24,012 - mmseg - INFO - Iter [73900/160000] lr: 3.315e-05, eta: 5:14:34, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3822, decode.acc_seg: 69.6619, aux.loss_ce: 0.1726, aux.acc_seg: 68.5510, loss: 0.5548 +2022-06-18 13:44:34,459 - mmseg - INFO - Iter [73950/160000] lr: 3.313e-05, eta: 5:14:23, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3767, decode.acc_seg: 69.5215, aux.loss_ce: 0.1707, aux.acc_seg: 68.2525, loss: 0.5473 +2022-06-18 13:44:45,128 - mmseg - INFO - Saving checkpoint at 74000 iterations +2022-06-18 13:44:46,488 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:44:46,488 - mmseg - INFO - Iter [74000/160000] lr: 3.311e-05, eta: 5:14:13, time: 0.241, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3525, decode.acc_seg: 69.5768, aux.loss_ce: 0.1592, aux.acc_seg: 68.5168, loss: 0.5117 +2022-06-18 13:44:56,899 - mmseg - INFO - Iter [74050/160000] lr: 3.309e-05, eta: 5:14:01, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3928, decode.acc_seg: 68.7010, aux.loss_ce: 0.1768, aux.acc_seg: 67.5318, loss: 0.5696 +2022-06-18 13:45:07,731 - mmseg - INFO - Iter [74100/160000] lr: 3.307e-05, eta: 5:13:50, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.4051, decode.acc_seg: 66.9724, aux.loss_ce: 0.1815, aux.acc_seg: 65.9033, loss: 0.5865 +2022-06-18 13:45:18,324 - mmseg - INFO - Iter [74150/160000] lr: 3.305e-05, eta: 5:13:39, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3836, decode.acc_seg: 68.6647, aux.loss_ce: 0.1727, aux.acc_seg: 67.5600, loss: 0.5563 +2022-06-18 13:45:28,851 - mmseg - INFO - Iter [74200/160000] lr: 3.303e-05, eta: 5:13:27, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3875, decode.acc_seg: 68.9955, aux.loss_ce: 0.1737, aux.acc_seg: 68.0052, loss: 0.5612 +2022-06-18 13:45:39,272 - mmseg - INFO - Iter [74250/160000] lr: 3.301e-05, eta: 5:13:16, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3987, decode.acc_seg: 68.4015, aux.loss_ce: 0.1793, aux.acc_seg: 67.2556, loss: 0.5780 +2022-06-18 13:45:50,145 - mmseg - INFO - Iter [74300/160000] lr: 3.300e-05, eta: 5:13:05, time: 0.217, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3803, decode.acc_seg: 68.7580, aux.loss_ce: 0.1730, aux.acc_seg: 67.5382, loss: 0.5533 +2022-06-18 13:46:00,546 - mmseg - INFO - Iter [74350/160000] lr: 3.298e-05, eta: 5:12:53, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3896, decode.acc_seg: 69.8522, aux.loss_ce: 0.1777, aux.acc_seg: 68.5190, loss: 0.5673 +2022-06-18 13:46:11,051 - mmseg - INFO - Iter [74400/160000] lr: 3.296e-05, eta: 5:12:42, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3934, decode.acc_seg: 68.0003, aux.loss_ce: 0.1786, aux.acc_seg: 66.6182, loss: 0.5720 +2022-06-18 13:46:21,701 - mmseg - INFO - Iter [74450/160000] lr: 3.294e-05, eta: 5:12:30, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3871, decode.acc_seg: 68.1427, aux.loss_ce: 0.1753, aux.acc_seg: 67.0592, loss: 0.5624 +2022-06-18 13:46:32,473 - mmseg - INFO - Iter [74500/160000] lr: 3.292e-05, eta: 5:12:19, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3881, decode.acc_seg: 67.8925, aux.loss_ce: 0.1737, aux.acc_seg: 66.8119, loss: 0.5618 +2022-06-18 13:46:45,696 - mmseg - INFO - Iter [74550/160000] lr: 3.290e-05, eta: 5:12:11, time: 0.264, data_time: 0.050, memory: 36051, decode.loss_ce: 0.3750, decode.acc_seg: 69.9292, aux.loss_ce: 0.1720, aux.acc_seg: 68.4797, loss: 0.5470 +2022-06-18 13:46:56,331 - mmseg - INFO - Iter [74600/160000] lr: 3.288e-05, eta: 5:11:59, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3654, decode.acc_seg: 69.2487, aux.loss_ce: 0.1638, aux.acc_seg: 68.3430, loss: 0.5292 +2022-06-18 13:47:06,931 - mmseg - INFO - Iter [74650/160000] lr: 3.286e-05, eta: 5:11:48, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3864, decode.acc_seg: 69.5726, aux.loss_ce: 0.1747, aux.acc_seg: 68.4442, loss: 0.5610 +2022-06-18 13:47:17,728 - mmseg - INFO - Iter [74700/160000] lr: 3.284e-05, eta: 5:11:37, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3667, decode.acc_seg: 69.7504, aux.loss_ce: 0.1668, aux.acc_seg: 68.4223, loss: 0.5335 +2022-06-18 13:47:28,359 - mmseg - INFO - Iter [74750/160000] lr: 3.282e-05, eta: 5:11:25, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3612, decode.acc_seg: 69.3185, aux.loss_ce: 0.1640, aux.acc_seg: 68.2102, loss: 0.5252 +2022-06-18 13:47:39,182 - mmseg - INFO - Iter [74800/160000] lr: 3.280e-05, eta: 5:11:14, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3741, decode.acc_seg: 70.3515, aux.loss_ce: 0.1692, aux.acc_seg: 68.9731, loss: 0.5433 +2022-06-18 13:47:49,777 - mmseg - INFO - Iter [74850/160000] lr: 3.278e-05, eta: 5:11:03, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3985, decode.acc_seg: 67.2805, aux.loss_ce: 0.1836, aux.acc_seg: 65.8078, loss: 0.5821 +2022-06-18 13:48:00,109 - mmseg - INFO - Iter [74900/160000] lr: 3.276e-05, eta: 5:10:51, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3761, decode.acc_seg: 69.3353, aux.loss_ce: 0.1707, aux.acc_seg: 68.2286, loss: 0.5468 +2022-06-18 13:48:10,833 - mmseg - INFO - Iter [74950/160000] lr: 3.275e-05, eta: 5:10:40, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3544, decode.acc_seg: 68.5102, aux.loss_ce: 0.1603, aux.acc_seg: 67.3441, loss: 0.5148 +2022-06-18 13:48:21,552 - mmseg - INFO - Saving checkpoint at 75000 iterations +2022-06-18 13:48:23,076 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:48:23,076 - mmseg - INFO - Iter [75000/160000] lr: 3.273e-05, eta: 5:10:31, time: 0.245, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3857, decode.acc_seg: 67.5347, aux.loss_ce: 0.1735, aux.acc_seg: 66.3720, loss: 0.5592 +2022-06-18 13:48:33,552 - mmseg - INFO - Iter [75050/160000] lr: 3.271e-05, eta: 5:10:19, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3504, decode.acc_seg: 70.5412, aux.loss_ce: 0.1592, aux.acc_seg: 69.4676, loss: 0.5095 +2022-06-18 13:48:44,287 - mmseg - INFO - Iter [75100/160000] lr: 3.269e-05, eta: 5:10:08, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3700, decode.acc_seg: 69.3217, aux.loss_ce: 0.1662, aux.acc_seg: 68.0985, loss: 0.5363 +2022-06-18 13:48:54,614 - mmseg - INFO - Iter [75150/160000] lr: 3.267e-05, eta: 5:09:56, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3731, decode.acc_seg: 68.3053, aux.loss_ce: 0.1705, aux.acc_seg: 67.1281, loss: 0.5437 +2022-06-18 13:49:05,269 - mmseg - INFO - Iter [75200/160000] lr: 3.265e-05, eta: 5:09:45, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3628, decode.acc_seg: 70.6278, aux.loss_ce: 0.1651, aux.acc_seg: 69.2625, loss: 0.5279 +2022-06-18 13:49:15,667 - mmseg - INFO - Iter [75250/160000] lr: 3.263e-05, eta: 5:09:33, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3834, decode.acc_seg: 68.7958, aux.loss_ce: 0.1736, aux.acc_seg: 67.5515, loss: 0.5570 +2022-06-18 13:49:26,119 - mmseg - INFO - Iter [75300/160000] lr: 3.261e-05, eta: 5:09:22, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3893, decode.acc_seg: 67.6904, aux.loss_ce: 0.1774, aux.acc_seg: 66.4657, loss: 0.5666 +2022-06-18 13:49:36,640 - mmseg - INFO - Iter [75350/160000] lr: 3.259e-05, eta: 5:09:10, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3813, decode.acc_seg: 68.4014, aux.loss_ce: 0.1739, aux.acc_seg: 66.9896, loss: 0.5552 +2022-06-18 13:49:47,172 - mmseg - INFO - Iter [75400/160000] lr: 3.257e-05, eta: 5:08:59, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4019, decode.acc_seg: 68.5955, aux.loss_ce: 0.1818, aux.acc_seg: 67.4560, loss: 0.5837 +2022-06-18 13:49:57,470 - mmseg - INFO - Iter [75450/160000] lr: 3.255e-05, eta: 5:08:47, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3849, decode.acc_seg: 69.8223, aux.loss_ce: 0.1735, aux.acc_seg: 68.6629, loss: 0.5584 +2022-06-18 13:50:07,984 - mmseg - INFO - Iter [75500/160000] lr: 3.253e-05, eta: 5:08:36, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3818, decode.acc_seg: 69.5302, aux.loss_ce: 0.1712, aux.acc_seg: 68.4252, loss: 0.5530 +2022-06-18 13:50:18,748 - mmseg - INFO - Iter [75550/160000] lr: 3.251e-05, eta: 5:08:25, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3902, decode.acc_seg: 68.7792, aux.loss_ce: 0.1766, aux.acc_seg: 67.6333, loss: 0.5668 +2022-06-18 13:50:29,234 - mmseg - INFO - Iter [75600/160000] lr: 3.249e-05, eta: 5:08:13, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3539, decode.acc_seg: 68.5906, aux.loss_ce: 0.1606, aux.acc_seg: 67.2629, loss: 0.5144 +2022-06-18 13:50:39,647 - mmseg - INFO - Iter [75650/160000] lr: 3.248e-05, eta: 5:08:02, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3734, decode.acc_seg: 70.4282, aux.loss_ce: 0.1692, aux.acc_seg: 69.1514, loss: 0.5425 +2022-06-18 13:50:50,044 - mmseg - INFO - Iter [75700/160000] lr: 3.246e-05, eta: 5:07:50, time: 0.208, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3675, decode.acc_seg: 69.5563, aux.loss_ce: 0.1672, aux.acc_seg: 68.4548, loss: 0.5347 +2022-06-18 13:51:00,880 - mmseg - INFO - Iter [75750/160000] lr: 3.244e-05, eta: 5:07:39, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3852, decode.acc_seg: 68.2138, aux.loss_ce: 0.1752, aux.acc_seg: 66.9929, loss: 0.5604 +2022-06-18 13:51:13,950 - mmseg - INFO - Iter [75800/160000] lr: 3.242e-05, eta: 5:07:30, time: 0.262, data_time: 0.051, memory: 36051, decode.loss_ce: 0.3700, decode.acc_seg: 69.2760, aux.loss_ce: 0.1672, aux.acc_seg: 68.0376, loss: 0.5372 +2022-06-18 13:51:24,801 - mmseg - INFO - Iter [75850/160000] lr: 3.240e-05, eta: 5:07:19, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3555, decode.acc_seg: 71.3966, aux.loss_ce: 0.1614, aux.acc_seg: 70.3106, loss: 0.5169 +2022-06-18 13:51:35,173 - mmseg - INFO - Iter [75900/160000] lr: 3.238e-05, eta: 5:07:08, time: 0.207, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3679, decode.acc_seg: 70.1694, aux.loss_ce: 0.1702, aux.acc_seg: 68.7125, loss: 0.5380 +2022-06-18 13:51:45,767 - mmseg - INFO - Iter [75950/160000] lr: 3.236e-05, eta: 5:06:56, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3825, decode.acc_seg: 68.5858, aux.loss_ce: 0.1728, aux.acc_seg: 67.3971, loss: 0.5553 +2022-06-18 13:51:56,434 - mmseg - INFO - Saving checkpoint at 76000 iterations +2022-06-18 13:51:58,647 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:51:58,647 - mmseg - INFO - Iter [76000/160000] lr: 3.234e-05, eta: 5:06:47, time: 0.258, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3868, decode.acc_seg: 68.0853, aux.loss_ce: 0.1754, aux.acc_seg: 67.0353, loss: 0.5622 +2022-06-18 13:52:09,300 - mmseg - INFO - Iter [76050/160000] lr: 3.232e-05, eta: 5:06:36, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3938, decode.acc_seg: 68.2262, aux.loss_ce: 0.1755, aux.acc_seg: 66.9561, loss: 0.5693 +2022-06-18 13:52:19,738 - mmseg - INFO - Iter [76100/160000] lr: 3.230e-05, eta: 5:06:25, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3755, decode.acc_seg: 68.9700, aux.loss_ce: 0.1735, aux.acc_seg: 67.5844, loss: 0.5490 +2022-06-18 13:52:30,324 - mmseg - INFO - Iter [76150/160000] lr: 3.228e-05, eta: 5:06:13, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3945, decode.acc_seg: 68.1812, aux.loss_ce: 0.1794, aux.acc_seg: 66.8704, loss: 0.5739 +2022-06-18 13:52:41,247 - mmseg - INFO - Iter [76200/160000] lr: 3.226e-05, eta: 5:06:02, time: 0.218, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3794, decode.acc_seg: 69.8435, aux.loss_ce: 0.1734, aux.acc_seg: 68.4047, loss: 0.5528 +2022-06-18 13:52:52,404 - mmseg - INFO - Iter [76250/160000] lr: 3.224e-05, eta: 5:05:51, time: 0.224, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3562, decode.acc_seg: 69.5517, aux.loss_ce: 0.1617, aux.acc_seg: 68.3549, loss: 0.5180 +2022-06-18 13:53:02,941 - mmseg - INFO - Iter [76300/160000] lr: 3.223e-05, eta: 5:05:40, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3657, decode.acc_seg: 68.8667, aux.loss_ce: 0.1653, aux.acc_seg: 67.7608, loss: 0.5310 +2022-06-18 13:53:13,566 - mmseg - INFO - Iter [76350/160000] lr: 3.221e-05, eta: 5:05:29, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4075, decode.acc_seg: 67.8535, aux.loss_ce: 0.1819, aux.acc_seg: 66.8144, loss: 0.5895 +2022-06-18 13:53:24,225 - mmseg - INFO - Iter [76400/160000] lr: 3.219e-05, eta: 5:05:17, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3672, decode.acc_seg: 68.4576, aux.loss_ce: 0.1669, aux.acc_seg: 67.0888, loss: 0.5341 +2022-06-18 13:53:34,705 - mmseg - INFO - Iter [76450/160000] lr: 3.217e-05, eta: 5:05:06, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3882, decode.acc_seg: 69.0734, aux.loss_ce: 0.1768, aux.acc_seg: 67.8533, loss: 0.5650 +2022-06-18 13:53:45,204 - mmseg - INFO - Iter [76500/160000] lr: 3.215e-05, eta: 5:04:55, time: 0.212, data_time: 0.005, memory: 36051, decode.loss_ce: 0.3702, decode.acc_seg: 67.9308, aux.loss_ce: 0.1704, aux.acc_seg: 66.5575, loss: 0.5406 +2022-06-18 13:53:56,089 - mmseg - INFO - Iter [76550/160000] lr: 3.213e-05, eta: 5:04:43, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3656, decode.acc_seg: 68.8341, aux.loss_ce: 0.1681, aux.acc_seg: 67.5939, loss: 0.5337 +2022-06-18 13:54:06,512 - mmseg - INFO - Iter [76600/160000] lr: 3.211e-05, eta: 5:04:32, time: 0.208, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3605, decode.acc_seg: 69.4312, aux.loss_ce: 0.1661, aux.acc_seg: 68.1602, loss: 0.5266 +2022-06-18 13:54:17,105 - mmseg - INFO - Iter [76650/160000] lr: 3.209e-05, eta: 5:04:21, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3556, decode.acc_seg: 67.8196, aux.loss_ce: 0.1646, aux.acc_seg: 66.4349, loss: 0.5202 +2022-06-18 13:54:27,452 - mmseg - INFO - Iter [76700/160000] lr: 3.207e-05, eta: 5:04:09, time: 0.207, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3885, decode.acc_seg: 68.9542, aux.loss_ce: 0.1761, aux.acc_seg: 67.7422, loss: 0.5647 +2022-06-18 13:54:38,164 - mmseg - INFO - Iter [76750/160000] lr: 3.205e-05, eta: 5:03:58, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3719, decode.acc_seg: 69.5916, aux.loss_ce: 0.1672, aux.acc_seg: 68.7177, loss: 0.5391 +2022-06-18 13:54:48,944 - mmseg - INFO - Iter [76800/160000] lr: 3.203e-05, eta: 5:03:47, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3895, decode.acc_seg: 68.3684, aux.loss_ce: 0.1749, aux.acc_seg: 67.1320, loss: 0.5644 +2022-06-18 13:54:59,457 - mmseg - INFO - Iter [76850/160000] lr: 3.201e-05, eta: 5:03:35, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3783, decode.acc_seg: 69.2865, aux.loss_ce: 0.1723, aux.acc_seg: 67.9020, loss: 0.5506 +2022-06-18 13:55:09,893 - mmseg - INFO - Iter [76900/160000] lr: 3.199e-05, eta: 5:03:24, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3980, decode.acc_seg: 67.3296, aux.loss_ce: 0.1783, aux.acc_seg: 66.1532, loss: 0.5763 +2022-06-18 13:55:20,625 - mmseg - INFO - Iter [76950/160000] lr: 3.198e-05, eta: 5:03:12, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3821, decode.acc_seg: 68.9094, aux.loss_ce: 0.1708, aux.acc_seg: 67.8449, loss: 0.5529 +2022-06-18 13:55:30,970 - mmseg - INFO - Saving checkpoint at 77000 iterations +2022-06-18 13:55:33,164 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:55:33,164 - mmseg - INFO - Iter [77000/160000] lr: 3.196e-05, eta: 5:03:03, time: 0.251, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3753, decode.acc_seg: 69.0120, aux.loss_ce: 0.1677, aux.acc_seg: 67.7242, loss: 0.5429 +2022-06-18 13:55:46,108 - mmseg - INFO - Iter [77050/160000] lr: 3.194e-05, eta: 5:02:54, time: 0.257, data_time: 0.048, memory: 36051, decode.loss_ce: 0.3784, decode.acc_seg: 69.0922, aux.loss_ce: 0.1716, aux.acc_seg: 67.7623, loss: 0.5500 +2022-06-18 13:55:56,869 - mmseg - INFO - Iter [77100/160000] lr: 3.192e-05, eta: 5:02:43, time: 0.217, data_time: 0.005, memory: 36051, decode.loss_ce: 0.3675, decode.acc_seg: 68.5572, aux.loss_ce: 0.1708, aux.acc_seg: 66.9359, loss: 0.5383 +2022-06-18 13:56:07,884 - mmseg - INFO - Iter [77150/160000] lr: 3.190e-05, eta: 5:02:32, time: 0.220, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3623, decode.acc_seg: 69.2995, aux.loss_ce: 0.1656, aux.acc_seg: 68.0559, loss: 0.5279 +2022-06-18 13:56:18,505 - mmseg - INFO - Iter [77200/160000] lr: 3.188e-05, eta: 5:02:21, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3691, decode.acc_seg: 66.9379, aux.loss_ce: 0.1678, aux.acc_seg: 65.8401, loss: 0.5369 +2022-06-18 13:56:29,226 - mmseg - INFO - Iter [77250/160000] lr: 3.186e-05, eta: 5:02:10, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3748, decode.acc_seg: 68.1282, aux.loss_ce: 0.1717, aux.acc_seg: 66.8032, loss: 0.5465 +2022-06-18 13:56:39,812 - mmseg - INFO - Iter [77300/160000] lr: 3.184e-05, eta: 5:01:59, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3720, decode.acc_seg: 68.4680, aux.loss_ce: 0.1699, aux.acc_seg: 67.2784, loss: 0.5419 +2022-06-18 13:56:50,398 - mmseg - INFO - Iter [77350/160000] lr: 3.182e-05, eta: 5:01:47, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3440, decode.acc_seg: 71.5371, aux.loss_ce: 0.1578, aux.acc_seg: 70.3711, loss: 0.5018 +2022-06-18 13:57:01,040 - mmseg - INFO - Iter [77400/160000] lr: 3.180e-05, eta: 5:01:36, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3725, decode.acc_seg: 69.1704, aux.loss_ce: 0.1686, aux.acc_seg: 68.1892, loss: 0.5412 +2022-06-18 13:57:11,539 - mmseg - INFO - Iter [77450/160000] lr: 3.178e-05, eta: 5:01:24, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3761, decode.acc_seg: 69.4654, aux.loss_ce: 0.1713, aux.acc_seg: 68.0764, loss: 0.5474 +2022-06-18 13:57:22,025 - mmseg - INFO - Iter [77500/160000] lr: 3.176e-05, eta: 5:01:13, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3634, decode.acc_seg: 69.4181, aux.loss_ce: 0.1649, aux.acc_seg: 68.2051, loss: 0.5283 +2022-06-18 13:57:32,944 - mmseg - INFO - Iter [77550/160000] lr: 3.174e-05, eta: 5:01:02, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3715, decode.acc_seg: 71.2594, aux.loss_ce: 0.1661, aux.acc_seg: 70.1513, loss: 0.5376 +2022-06-18 13:57:43,560 - mmseg - INFO - Iter [77600/160000] lr: 3.172e-05, eta: 5:00:51, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3665, decode.acc_seg: 69.9927, aux.loss_ce: 0.1688, aux.acc_seg: 68.7164, loss: 0.5353 +2022-06-18 13:57:54,234 - mmseg - INFO - Iter [77650/160000] lr: 3.171e-05, eta: 5:00:39, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3564, decode.acc_seg: 69.0152, aux.loss_ce: 0.1636, aux.acc_seg: 67.7980, loss: 0.5200 +2022-06-18 13:58:04,675 - mmseg - INFO - Iter [77700/160000] lr: 3.169e-05, eta: 5:00:28, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3479, decode.acc_seg: 69.7242, aux.loss_ce: 0.1586, aux.acc_seg: 68.4992, loss: 0.5065 +2022-06-18 13:58:15,225 - mmseg - INFO - Iter [77750/160000] lr: 3.167e-05, eta: 5:00:17, time: 0.211, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3775, decode.acc_seg: 69.0727, aux.loss_ce: 0.1705, aux.acc_seg: 67.9551, loss: 0.5481 +2022-06-18 13:58:25,953 - mmseg - INFO - Iter [77800/160000] lr: 3.165e-05, eta: 5:00:05, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3640, decode.acc_seg: 67.0158, aux.loss_ce: 0.1662, aux.acc_seg: 65.7470, loss: 0.5301 +2022-06-18 13:58:36,752 - mmseg - INFO - Iter [77850/160000] lr: 3.163e-05, eta: 4:59:54, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3729, decode.acc_seg: 69.0947, aux.loss_ce: 0.1694, aux.acc_seg: 67.7983, loss: 0.5423 +2022-06-18 13:58:47,327 - mmseg - INFO - Iter [77900/160000] lr: 3.161e-05, eta: 4:59:43, time: 0.211, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3430, decode.acc_seg: 69.5692, aux.loss_ce: 0.1581, aux.acc_seg: 68.2250, loss: 0.5011 +2022-06-18 13:58:58,095 - mmseg - INFO - Iter [77950/160000] lr: 3.159e-05, eta: 4:59:32, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3841, decode.acc_seg: 68.6706, aux.loss_ce: 0.1753, aux.acc_seg: 67.4178, loss: 0.5593 +2022-06-18 13:59:08,440 - mmseg - INFO - Saving checkpoint at 78000 iterations +2022-06-18 13:59:10,609 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 13:59:10,609 - mmseg - INFO - Iter [78000/160000] lr: 3.157e-05, eta: 4:59:22, time: 0.250, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3726, decode.acc_seg: 69.1047, aux.loss_ce: 0.1694, aux.acc_seg: 67.9284, loss: 0.5420 +2022-06-18 13:59:21,157 - mmseg - INFO - Iter [78050/160000] lr: 3.155e-05, eta: 4:59:11, time: 0.211, data_time: 0.005, memory: 36051, decode.loss_ce: 0.3944, decode.acc_seg: 70.2564, aux.loss_ce: 0.1803, aux.acc_seg: 68.8426, loss: 0.5748 +2022-06-18 13:59:31,840 - mmseg - INFO - Iter [78100/160000] lr: 3.153e-05, eta: 4:59:00, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3728, decode.acc_seg: 68.6772, aux.loss_ce: 0.1678, aux.acc_seg: 67.4405, loss: 0.5406 +2022-06-18 13:59:42,439 - mmseg - INFO - Iter [78150/160000] lr: 3.151e-05, eta: 4:58:49, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3829, decode.acc_seg: 70.0160, aux.loss_ce: 0.1750, aux.acc_seg: 68.6019, loss: 0.5580 +2022-06-18 13:59:52,929 - mmseg - INFO - Iter [78200/160000] lr: 3.149e-05, eta: 4:58:37, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3837, decode.acc_seg: 69.6831, aux.loss_ce: 0.1725, aux.acc_seg: 68.6019, loss: 0.5562 +2022-06-18 14:00:03,415 - mmseg - INFO - Iter [78250/160000] lr: 3.147e-05, eta: 4:58:26, time: 0.210, data_time: 0.004, memory: 36051, decode.loss_ce: 0.4082, decode.acc_seg: 68.3146, aux.loss_ce: 0.1857, aux.acc_seg: 67.0264, loss: 0.5940 +2022-06-18 14:00:13,898 - mmseg - INFO - Iter [78300/160000] lr: 3.146e-05, eta: 4:58:14, time: 0.210, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3622, decode.acc_seg: 68.8035, aux.loss_ce: 0.1642, aux.acc_seg: 67.6487, loss: 0.5264 +2022-06-18 14:00:27,326 - mmseg - INFO - Iter [78350/160000] lr: 3.144e-05, eta: 4:58:06, time: 0.268, data_time: 0.050, memory: 36051, decode.loss_ce: 0.3568, decode.acc_seg: 69.3244, aux.loss_ce: 0.1630, aux.acc_seg: 68.1372, loss: 0.5198 +2022-06-18 14:00:38,202 - mmseg - INFO - Iter [78400/160000] lr: 3.142e-05, eta: 4:57:55, time: 0.218, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3908, decode.acc_seg: 69.6464, aux.loss_ce: 0.1783, aux.acc_seg: 68.4135, loss: 0.5691 +2022-06-18 14:00:49,087 - mmseg - INFO - Iter [78450/160000] lr: 3.140e-05, eta: 4:57:44, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3656, decode.acc_seg: 69.6247, aux.loss_ce: 0.1667, aux.acc_seg: 68.4071, loss: 0.5323 +2022-06-18 14:00:59,751 - mmseg - INFO - Iter [78500/160000] lr: 3.138e-05, eta: 4:57:32, time: 0.213, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3674, decode.acc_seg: 69.9496, aux.loss_ce: 0.1699, aux.acc_seg: 68.5224, loss: 0.5373 +2022-06-18 14:01:10,511 - mmseg - INFO - Iter [78550/160000] lr: 3.136e-05, eta: 4:57:21, time: 0.216, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3602, decode.acc_seg: 69.6657, aux.loss_ce: 0.1637, aux.acc_seg: 68.3556, loss: 0.5239 +2022-06-18 14:01:20,939 - mmseg - INFO - Iter [78600/160000] lr: 3.134e-05, eta: 4:57:10, time: 0.209, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3563, decode.acc_seg: 68.5892, aux.loss_ce: 0.1660, aux.acc_seg: 67.1306, loss: 0.5223 +2022-06-18 14:01:31,666 - mmseg - INFO - Iter [78650/160000] lr: 3.132e-05, eta: 4:56:59, time: 0.215, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3540, decode.acc_seg: 68.9474, aux.loss_ce: 0.1634, aux.acc_seg: 67.5946, loss: 0.5174 +2022-06-18 14:01:41,972 - mmseg - INFO - Iter [78700/160000] lr: 3.130e-05, eta: 4:56:47, time: 0.206, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3645, decode.acc_seg: 68.3100, aux.loss_ce: 0.1660, aux.acc_seg: 67.3340, loss: 0.5305 +2022-06-18 14:01:52,645 - mmseg - INFO - Iter [78750/160000] lr: 3.128e-05, eta: 4:56:36, time: 0.213, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3475, decode.acc_seg: 70.0958, aux.loss_ce: 0.1624, aux.acc_seg: 68.7608, loss: 0.5100 +2022-06-18 14:02:03,481 - mmseg - INFO - Iter [78800/160000] lr: 3.126e-05, eta: 4:56:25, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3790, decode.acc_seg: 69.8986, aux.loss_ce: 0.1719, aux.acc_seg: 68.6693, loss: 0.5509 +2022-06-18 14:02:14,098 - mmseg - INFO - Iter [78850/160000] lr: 3.124e-05, eta: 4:56:13, time: 0.212, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3822, decode.acc_seg: 68.6235, aux.loss_ce: 0.1739, aux.acc_seg: 67.4164, loss: 0.5561 +2022-06-18 14:02:24,834 - mmseg - INFO - Iter [78900/160000] lr: 3.122e-05, eta: 4:56:02, time: 0.215, data_time: 0.005, memory: 36051, decode.loss_ce: 0.3760, decode.acc_seg: 70.1511, aux.loss_ce: 0.1716, aux.acc_seg: 69.0573, loss: 0.5476 +2022-06-18 14:02:35,295 - mmseg - INFO - Iter [78950/160000] lr: 3.121e-05, eta: 4:55:51, time: 0.209, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3858, decode.acc_seg: 69.9724, aux.loss_ce: 0.1737, aux.acc_seg: 68.5057, loss: 0.5596 +2022-06-18 14:02:46,214 - mmseg - INFO - Saving checkpoint at 79000 iterations +2022-06-18 14:02:48,487 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 14:02:48,487 - mmseg - INFO - Iter [79000/160000] lr: 3.119e-05, eta: 4:55:42, time: 0.264, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3693, decode.acc_seg: 68.0127, aux.loss_ce: 0.1675, aux.acc_seg: 66.9312, loss: 0.5368 +2022-06-18 14:02:59,258 - mmseg - INFO - Iter [79050/160000] lr: 3.117e-05, eta: 4:55:31, time: 0.215, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3511, decode.acc_seg: 69.2080, aux.loss_ce: 0.1577, aux.acc_seg: 68.0752, loss: 0.5088 +2022-06-18 14:03:10,113 - mmseg - INFO - Iter [79100/160000] lr: 3.115e-05, eta: 4:55:20, time: 0.217, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3865, decode.acc_seg: 69.0452, aux.loss_ce: 0.1766, aux.acc_seg: 67.5981, loss: 0.5631 +2022-06-18 14:03:20,776 - mmseg - INFO - Iter [79150/160000] lr: 3.113e-05, eta: 4:55:09, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3712, decode.acc_seg: 68.5439, aux.loss_ce: 0.1697, aux.acc_seg: 67.2910, loss: 0.5409 +2022-06-18 14:03:31,488 - mmseg - INFO - Iter [79200/160000] lr: 3.111e-05, eta: 4:54:58, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3930, decode.acc_seg: 68.9416, aux.loss_ce: 0.1770, aux.acc_seg: 67.7101, loss: 0.5700 +2022-06-18 14:03:42,193 - mmseg - INFO - Iter [79250/160000] lr: 3.109e-05, eta: 4:54:46, time: 0.214, data_time: 0.003, memory: 36051, decode.loss_ce: 0.3815, decode.acc_seg: 69.4657, aux.loss_ce: 0.1752, aux.acc_seg: 68.2020, loss: 0.5568 +2022-06-18 14:03:52,890 - mmseg - INFO - Iter [79300/160000] lr: 3.107e-05, eta: 4:54:35, time: 0.214, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3521, decode.acc_seg: 69.7078, aux.loss_ce: 0.1588, aux.acc_seg: 68.6449, loss: 0.5109 +2022-06-18 14:04:03,489 - mmseg - INFO - Iter [79350/160000] lr: 3.105e-05, eta: 4:54:24, time: 0.212, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3727, decode.acc_seg: 68.0575, aux.loss_ce: 0.1701, aux.acc_seg: 66.6723, loss: 0.5428 +2022-06-18 14:04:14,529 - mmseg - INFO - Iter [79400/160000] lr: 3.103e-05, eta: 4:54:13, time: 0.221, data_time: 0.004, memory: 36051, decode.loss_ce: 0.3666, decode.acc_seg: 70.3324, aux.loss_ce: 0.1673, aux.acc_seg: 69.0182, loss: 0.5339 + +2022-06-18 21:15:41,292 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:15:41,292 - mmseg - INFO - Iter [79000/160000] lr: 3.119e-05, eta: 316 days, 5:58:40, time: 6.747, data_time: 0.062, memory: 36327, decode.loss_ce: 0.2536, decode.acc_seg: 69.0818, aux.loss_ce: 0.1228, aux.acc_seg: 67.4027, loss: 0.3764 +2022-06-18 21:15:52,821 - mmseg - INFO - Iter [79050/160000] lr: 3.117e-05, eta: 6 days, 9:48:22, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3672, decode.acc_seg: 69.2188, aux.loss_ce: 0.1703, aux.acc_seg: 67.7711, loss: 0.5375 +2022-06-18 21:16:04,208 - mmseg - INFO - Iter [79100/160000] lr: 3.115e-05, eta: 3 days, 8:09:14, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3471, decode.acc_seg: 68.9272, aux.loss_ce: 0.1585, aux.acc_seg: 67.8301, loss: 0.5056 +2022-06-18 21:16:15,398 - mmseg - INFO - Iter [79150/160000] lr: 3.113e-05, eta: 2 days, 7:14:37, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3391, decode.acc_seg: 68.8769, aux.loss_ce: 0.1528, aux.acc_seg: 67.8117, loss: 0.4919 +2022-06-18 21:16:26,441 - mmseg - INFO - Iter [79200/160000] lr: 3.111e-05, eta: 1 day, 18:42:32, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3651, decode.acc_seg: 70.0252, aux.loss_ce: 0.1670, aux.acc_seg: 68.8340, loss: 0.5321 +2022-06-18 21:16:37,778 - mmseg - INFO - Iter [79250/160000] lr: 3.109e-05, eta: 1 day, 11:11:35, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3520, decode.acc_seg: 70.6326, aux.loss_ce: 0.1614, aux.acc_seg: 69.3014, loss: 0.5133 +2022-06-18 21:16:49,175 - mmseg - INFO - Iter [79300/160000] lr: 3.107e-05, eta: 1 day, 6:10:34, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3592, decode.acc_seg: 70.1440, aux.loss_ce: 0.1628, aux.acc_seg: 69.0392, loss: 0.5221 +2022-06-18 21:17:00,437 - mmseg - INFO - Iter [79350/160000] lr: 3.105e-05, eta: 1 day, 2:34:53, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3596, decode.acc_seg: 70.1771, aux.loss_ce: 0.1642, aux.acc_seg: 68.9585, loss: 0.5238 +2022-06-18 21:17:11,718 - mmseg - INFO - Iter [79400/160000] lr: 3.103e-05, eta: 23:52:57, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3475, decode.acc_seg: 70.4284, aux.loss_ce: 0.1573, aux.acc_seg: 69.3512, loss: 0.5048 +2022-06-18 21:17:22,647 - mmseg - INFO - Iter [79450/160000] lr: 3.101e-05, eta: 21:45:49, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3420, decode.acc_seg: 71.8619, aux.loss_ce: 0.1577, aux.acc_seg: 70.5229, loss: 0.4997 +2022-06-18 21:17:34,165 - mmseg - INFO - Iter [79500/160000] lr: 3.099e-05, eta: 20:05:35, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3429, decode.acc_seg: 70.1951, aux.loss_ce: 0.1587, aux.acc_seg: 68.9318, loss: 0.5016 +2022-06-18 21:17:45,415 - mmseg - INFO - Iter [79550/160000] lr: 3.097e-05, eta: 18:42:55, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3484, decode.acc_seg: 70.0437, aux.loss_ce: 0.1620, aux.acc_seg: 68.6670, loss: 0.5103 +2022-06-18 21:17:56,603 - mmseg - INFO - Iter [79600/160000] lr: 3.095e-05, eta: 17:33:45, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3582, decode.acc_seg: 69.3094, aux.loss_ce: 0.1629, aux.acc_seg: 68.1001, loss: 0.5212 +2022-06-18 21:18:07,858 - mmseg - INFO - Iter [79650/160000] lr: 3.094e-05, eta: 16:35:24, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3902, decode.acc_seg: 68.1100, aux.loss_ce: 0.1780, aux.acc_seg: 67.0258, loss: 0.5682 +2022-06-18 21:18:19,410 - mmseg - INFO - Iter [79700/160000] lr: 3.092e-05, eta: 15:45:51, time: 0.231, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3416, decode.acc_seg: 71.1825, aux.loss_ce: 0.1580, aux.acc_seg: 70.0146, loss: 0.4996 +2022-06-18 21:18:30,656 - mmseg - INFO - Iter [79750/160000] lr: 3.090e-05, eta: 15:02:23, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3559, decode.acc_seg: 69.5490, aux.loss_ce: 0.1605, aux.acc_seg: 68.5044, loss: 0.5164 +2022-06-18 21:18:41,786 - mmseg - INFO - Iter [79800/160000] lr: 3.088e-05, eta: 14:24:06, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3666, decode.acc_seg: 69.8960, aux.loss_ce: 0.1681, aux.acc_seg: 68.6135, loss: 0.5347 +2022-06-18 21:18:53,210 - mmseg - INFO - Iter [79850/160000] lr: 3.086e-05, eta: 13:50:43, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3585, decode.acc_seg: 69.4434, aux.loss_ce: 0.1643, aux.acc_seg: 68.2777, loss: 0.5228 +2022-06-18 21:19:04,247 - mmseg - INFO - Iter [79900/160000] lr: 3.084e-05, eta: 13:20:31, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3738, decode.acc_seg: 70.1563, aux.loss_ce: 0.1709, aux.acc_seg: 68.6690, loss: 0.5447 +2022-06-18 21:19:15,560 - mmseg - INFO - Iter [79950/160000] lr: 3.082e-05, eta: 12:53:49, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3854, decode.acc_seg: 69.7542, aux.loss_ce: 0.1766, aux.acc_seg: 68.3221, loss: 0.5620 +2022-06-18 21:19:26,842 - mmseg - INFO - Saving checkpoint at 80000 iterations +2022-06-18 21:19:27,873 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:19:27,874 - mmseg - INFO - Iter [80000/160000] lr: 3.080e-05, eta: 12:31:07, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3523, decode.acc_seg: 68.5758, aux.loss_ce: 0.1616, aux.acc_seg: 67.2095, loss: 0.5139 +2022-06-18 21:20:18,075 - mmseg - INFO - per class results: +2022-06-18 21:20:18,085 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.35 | 84.79 | +| building | 79.11 | 93.01 | +| sky | 94.12 | 97.24 | +| floor | 78.86 | 89.81 | +| tree | 72.41 | 84.54 | +| ceiling | 81.7 | 91.26 | +| road | 81.02 | 86.75 | +| bed | 85.03 | 94.26 | +| windowpane | 58.69 | 78.55 | +| grass | 63.44 | 80.55 | +| cabinet | 55.97 | 68.39 | +| sidewalk | 61.21 | 80.26 | +| person | 74.5 | 91.03 | +| earth | 27.13 | 36.7 | +| door | 36.53 | 45.54 | +| table | 49.6 | 67.55 | +| mountain | 50.69 | 79.03 | +| plant | 49.11 | 61.01 | +| curtain | 65.76 | 75.64 | +| chair | 45.2 | 57.42 | +| car | 78.96 | 90.2 | +| water | 49.99 | 66.31 | +| painting | 63.35 | 84.1 | +| sofa | 59.02 | 76.12 | +| shelf | 40.79 | 61.26 | +| house | 47.61 | 63.4 | +| sea | 58.5 | 90.11 | +| mirror | 58.73 | 72.06 | +| rug | 63.54 | 70.76 | +| field | 28.09 | 47.21 | +| armchair | 34.44 | 57.85 | +| seat | 57.44 | 68.31 | +| fence | 36.6 | 51.86 | +| desk | 45.83 | 67.71 | +| rock | 23.87 | 34.59 | +| wardrobe | 46.0 | 73.02 | +| lamp | 50.99 | 64.31 | +| bathtub | 68.03 | 76.12 | +| railing | 27.14 | 37.35 | +| cushion | 48.1 | 65.47 | +| base | 25.36 | 49.51 | +| box | 17.05 | 25.32 | +| column | 37.44 | 50.52 | +| signboard | 28.68 | 38.58 | +| chest of drawers | 39.75 | 52.48 | +| counter | 21.51 | 25.07 | +| sand | 36.65 | 60.15 | +| sink | 65.0 | 76.31 | +| skyscraper | 41.73 | 44.7 | +| fireplace | 62.83 | 86.03 | +| refrigerator | 62.74 | 70.33 | +| grandstand | 43.47 | 62.13 | +| path | 17.92 | 25.14 | +| stairs | 26.9 | 35.35 | +| runway | 71.73 | 92.15 | +| case | 46.88 | 68.05 | +| pool table | 90.78 | 95.34 | +| pillow | 51.32 | 61.23 | +| screen door | 65.1 | 71.74 | +| stairway | 24.55 | 39.72 | +| river | 6.96 | 8.24 | +| bridge | 24.48 | 28.61 | +| bookcase | 38.35 | 63.64 | +| blind | 37.8 | 42.99 | +| coffee table | 48.87 | 74.19 | +| toilet | 75.95 | 87.64 | +| flower | 34.59 | 53.7 | +| book | 42.74 | 58.22 | +| hill | 7.85 | 15.04 | +| bench | 34.46 | 46.33 | +| countertop | 55.49 | 77.96 | +| stove | 66.73 | 79.55 | +| palm | 47.7 | 70.27 | +| kitchen island | 41.38 | 75.04 | +| computer | 49.38 | 62.75 | +| swivel chair | 39.94 | 60.79 | +| boat | 67.04 | 76.34 | +| bar | 28.23 | 32.1 | +| arcade machine | 37.89 | 40.11 | +| hovel | 12.28 | 14.33 | +| bus | 72.3 | 89.03 | +| towel | 53.37 | 57.85 | +| light | 45.2 | 50.16 | +| truck | 8.87 | 12.76 | +| tower | 15.41 | 25.15 | +| chandelier | 58.28 | 67.64 | +| awning | 21.28 | 28.45 | +| streetlight | 16.34 | 21.48 | +| booth | 67.69 | 80.08 | +| television receiver | 50.15 | 72.77 | +| airplane | 61.18 | 78.21 | +| dirt track | 1.3 | 3.06 | +| apparel | 30.61 | 37.85 | +| pole | 16.57 | 23.37 | +| land | 1.45 | 2.93 | +| bannister | 1.01 | 1.33 | +| escalator | 7.94 | 8.86 | +| ottoman | 27.99 | 35.34 | +| bottle | 16.59 | 30.03 | +| buffet | 41.51 | 52.78 | +| poster | 17.5 | 20.93 | +| stage | 9.18 | 23.98 | +| van | 34.2 | 40.69 | +| ship | 18.56 | 19.97 | +| fountain | 10.83 | 12.17 | +| conveyer belt | 48.83 | 90.87 | +| canopy | 27.59 | 34.5 | +| washer | 66.19 | 73.34 | +| plaything | 15.22 | 24.58 | +| swimming pool | 61.6 | 82.46 | +| stool | 24.65 | 31.95 | +| barrel | 36.76 | 41.1 | +| basket | 20.83 | 25.33 | +| waterfall | 67.67 | 85.29 | +| tent | 87.05 | 97.86 | +| bag | 5.85 | 7.04 | +| minibike | 51.21 | 61.04 | +| cradle | 75.17 | 96.3 | +| oven | 30.76 | 50.12 | +| ball | 39.92 | 51.16 | +| food | 53.63 | 74.47 | +| step | 5.2 | 6.42 | +| tank | 32.66 | 40.17 | +| trade name | 17.21 | 18.79 | +| microwave | 30.9 | 34.06 | +| pot | 32.51 | 36.62 | +| animal | 57.09 | 63.91 | +| bicycle | 40.41 | 64.85 | +| lake | 9.63 | 10.65 | +| dishwasher | 42.55 | 61.63 | +| screen | 67.51 | 86.68 | +| blanket | 8.15 | 8.52 | +| sculpture | 34.21 | 47.88 | +| hood | 48.63 | 59.02 | +| sconce | 28.84 | 33.05 | +| vase | 24.46 | 31.11 | +| traffic light | 19.67 | 32.53 | +| tray | 5.02 | 7.13 | +| ashcan | 28.21 | 37.72 | +| fan | 48.77 | 63.09 | +| pier | 50.0 | 68.3 | +| crt screen | 12.5 | 24.72 | +| plate | 46.08 | 56.71 | +| monitor | 46.03 | 57.87 | +| bulletin board | 37.85 | 43.62 | +| shower | 0.01 | 0.02 | +| radiator | 44.3 | 47.84 | +| glass | 3.53 | 3.63 | +| clock | 7.85 | 9.4 | +| flag | 26.37 | 27.44 | ++---------------------+-------+-------+ +2022-06-18 21:20:18,085 - mmseg - INFO - Summary: +2022-06-18 21:20:18,086 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 79.91 | 41.47 | 53.11 | ++-------+-------+-------+ +2022-06-18 21:20:19,091 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2022-06-18 21:20:19,091 - mmseg - INFO - Best mIoU is 0.4147 at 80000 iter. +2022-06-18 21:20:19,099 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:20:19,100 - mmseg - INFO - Iter(val) [250] aAcc: 0.7991, mIoU: 0.4147, mAcc: 0.5311, IoU.wall: 0.7335, IoU.building: 0.7911, IoU.sky: 0.9412, IoU.floor: 0.7886, IoU.tree: 0.7241, IoU.ceiling: 0.8170, IoU.road: 0.8102, IoU.bed : 0.8503, IoU.windowpane: 0.5869, IoU.grass: 0.6344, IoU.cabinet: 0.5597, IoU.sidewalk: 0.6121, IoU.person: 0.7450, IoU.earth: 0.2713, IoU.door: 0.3653, IoU.table: 0.4960, IoU.mountain: 0.5069, IoU.plant: 0.4911, IoU.curtain: 0.6576, IoU.chair: 0.4520, IoU.car: 0.7896, IoU.water: 0.4999, IoU.painting: 0.6335, IoU.sofa: 0.5902, IoU.shelf: 0.4079, IoU.house: 0.4761, IoU.sea: 0.5850, IoU.mirror: 0.5873, IoU.rug: 0.6354, IoU.field: 0.2809, IoU.armchair: 0.3444, IoU.seat: 0.5744, IoU.fence: 0.3660, IoU.desk: 0.4583, IoU.rock: 0.2387, IoU.wardrobe: 0.4600, IoU.lamp: 0.5099, IoU.bathtub: 0.6803, IoU.railing: 0.2714, IoU.cushion: 0.4810, IoU.base: 0.2536, IoU.box: 0.1705, IoU.column: 0.3744, IoU.signboard: 0.2868, IoU.chest of drawers: 0.3975, IoU.counter: 0.2151, IoU.sand: 0.3665, IoU.sink: 0.6500, IoU.skyscraper: 0.4173, IoU.fireplace: 0.6283, IoU.refrigerator: 0.6274, IoU.grandstand: 0.4347, IoU.path: 0.1792, IoU.stairs: 0.2690, IoU.runway: 0.7173, IoU.case: 0.4688, IoU.pool table: 0.9078, IoU.pillow: 0.5132, IoU.screen door: 0.6510, IoU.stairway: 0.2455, IoU.river: 0.0696, IoU.bridge: 0.2448, IoU.bookcase: 0.3835, IoU.blind: 0.3780, IoU.coffee table: 0.4887, IoU.toilet: 0.7595, IoU.flower: 0.3459, IoU.book: 0.4274, IoU.hill: 0.0785, IoU.bench: 0.3446, IoU.countertop: 0.5549, IoU.stove: 0.6673, IoU.palm: 0.4770, IoU.kitchen island: 0.4138, IoU.computer: 0.4938, IoU.swivel chair: 0.3994, IoU.boat: 0.6704, IoU.bar: 0.2823, IoU.arcade machine: 0.3789, IoU.hovel: 0.1228, IoU.bus: 0.7230, IoU.towel: 0.5337, IoU.light: 0.4520, IoU.truck: 0.0887, IoU.tower: 0.1541, IoU.chandelier: 0.5828, IoU.awning: 0.2128, IoU.streetlight: 0.1634, IoU.booth: 0.6769, IoU.television receiver: 0.5015, IoU.airplane: 0.6118, IoU.dirt track: 0.0130, IoU.apparel: 0.3061, IoU.pole: 0.1657, IoU.land: 0.0145, IoU.bannister: 0.0101, IoU.escalator: 0.0794, IoU.ottoman: 0.2799, IoU.bottle: 0.1659, IoU.buffet: 0.4151, IoU.poster: 0.1750, IoU.stage: 0.0918, IoU.van: 0.3420, IoU.ship: 0.1856, IoU.fountain: 0.1083, IoU.conveyer belt: 0.4883, IoU.canopy: 0.2759, IoU.washer: 0.6619, IoU.plaything: 0.1522, IoU.swimming pool: 0.6160, IoU.stool: 0.2465, IoU.barrel: 0.3676, IoU.basket: 0.2083, IoU.waterfall: 0.6767, IoU.tent: 0.8705, IoU.bag: 0.0585, IoU.minibike: 0.5121, IoU.cradle: 0.7517, IoU.oven: 0.3076, IoU.ball: 0.3992, IoU.food: 0.5363, IoU.step: 0.0520, IoU.tank: 0.3266, IoU.trade name: 0.1721, IoU.microwave: 0.3090, IoU.pot: 0.3251, IoU.animal: 0.5709, IoU.bicycle: 0.4041, IoU.lake: 0.0963, IoU.dishwasher: 0.4255, IoU.screen: 0.6751, IoU.blanket: 0.0815, IoU.sculpture: 0.3421, IoU.hood: 0.4863, IoU.sconce: 0.2884, IoU.vase: 0.2446, IoU.traffic light: 0.1967, IoU.tray: 0.0502, IoU.ashcan: 0.2821, IoU.fan: 0.4877, IoU.pier: 0.5000, IoU.crt screen: 0.1250, IoU.plate: 0.4608, IoU.monitor: 0.4603, IoU.bulletin board: 0.3785, IoU.shower: 0.0001, IoU.radiator: 0.4430, IoU.glass: 0.0353, IoU.clock: 0.0785, IoU.flag: 0.2637, Acc.wall: 0.8479, Acc.building: 0.9301, Acc.sky: 0.9724, Acc.floor: 0.8981, Acc.tree: 0.8454, Acc.ceiling: 0.9126, Acc.road: 0.8675, Acc.bed : 0.9426, Acc.windowpane: 0.7855, Acc.grass: 0.8055, Acc.cabinet: 0.6839, Acc.sidewalk: 0.8026, Acc.person: 0.9103, Acc.earth: 0.3670, Acc.door: 0.4554, Acc.table: 0.6755, Acc.mountain: 0.7903, Acc.plant: 0.6101, Acc.curtain: 0.7564, Acc.chair: 0.5742, Acc.car: 0.9020, Acc.water: 0.6631, Acc.painting: 0.8410, Acc.sofa: 0.7612, Acc.shelf: 0.6126, Acc.house: 0.6340, Acc.sea: 0.9011, Acc.mirror: 0.7206, Acc.rug: 0.7076, Acc.field: 0.4721, Acc.armchair: 0.5785, Acc.seat: 0.6831, Acc.fence: 0.5186, Acc.desk: 0.6771, Acc.rock: 0.3459, Acc.wardrobe: 0.7302, Acc.lamp: 0.6431, Acc.bathtub: 0.7612, Acc.railing: 0.3735, Acc.cushion: 0.6547, Acc.base: 0.4951, Acc.box: 0.2532, Acc.column: 0.5052, Acc.signboard: 0.3858, Acc.chest of drawers: 0.5248, Acc.counter: 0.2507, Acc.sand: 0.6015, Acc.sink: 0.7631, Acc.skyscraper: 0.4470, Acc.fireplace: 0.8603, Acc.refrigerator: 0.7033, Acc.grandstand: 0.6213, Acc.path: 0.2514, Acc.stairs: 0.3535, Acc.runway: 0.9215, Acc.case: 0.6805, Acc.pool table: 0.9534, Acc.pillow: 0.6123, Acc.screen door: 0.7174, Acc.stairway: 0.3972, Acc.river: 0.0824, Acc.bridge: 0.2861, Acc.bookcase: 0.6364, Acc.blind: 0.4299, Acc.coffee table: 0.7419, Acc.toilet: 0.8764, Acc.flower: 0.5370, Acc.book: 0.5822, Acc.hill: 0.1504, Acc.bench: 0.4633, Acc.countertop: 0.7796, Acc.stove: 0.7955, Acc.palm: 0.7027, Acc.kitchen island: 0.7504, Acc.computer: 0.6275, Acc.swivel chair: 0.6079, Acc.boat: 0.7634, Acc.bar: 0.3210, Acc.arcade machine: 0.4011, Acc.hovel: 0.1433, Acc.bus: 0.8903, Acc.towel: 0.5785, Acc.light: 0.5016, Acc.truck: 0.1276, Acc.tower: 0.2515, Acc.chandelier: 0.6764, Acc.awning: 0.2845, Acc.streetlight: 0.2148, Acc.booth: 0.8008, Acc.television receiver: 0.7277, Acc.airplane: 0.7821, Acc.dirt track: 0.0306, Acc.apparel: 0.3785, Acc.pole: 0.2337, Acc.land: 0.0293, Acc.bannister: 0.0133, Acc.escalator: 0.0886, Acc.ottoman: 0.3534, Acc.bottle: 0.3003, Acc.buffet: 0.5278, Acc.poster: 0.2093, Acc.stage: 0.2398, Acc.van: 0.4069, Acc.ship: 0.1997, Acc.fountain: 0.1217, Acc.conveyer belt: 0.9087, Acc.canopy: 0.3450, Acc.washer: 0.7334, Acc.plaything: 0.2458, Acc.swimming pool: 0.8246, Acc.stool: 0.3195, Acc.barrel: 0.4110, Acc.basket: 0.2533, Acc.waterfall: 0.8529, Acc.tent: 0.9786, Acc.bag: 0.0704, Acc.minibike: 0.6104, Acc.cradle: 0.9630, Acc.oven: 0.5012, Acc.ball: 0.5116, Acc.food: 0.7447, Acc.step: 0.0642, Acc.tank: 0.4017, Acc.trade name: 0.1879, Acc.microwave: 0.3406, Acc.pot: 0.3662, Acc.animal: 0.6391, Acc.bicycle: 0.6485, Acc.lake: 0.1065, Acc.dishwasher: 0.6163, Acc.screen: 0.8668, Acc.blanket: 0.0852, Acc.sculpture: 0.4788, Acc.hood: 0.5902, Acc.sconce: 0.3305, Acc.vase: 0.3111, Acc.traffic light: 0.3253, Acc.tray: 0.0713, Acc.ashcan: 0.3772, Acc.fan: 0.6309, Acc.pier: 0.6830, Acc.crt screen: 0.2472, Acc.plate: 0.5671, Acc.monitor: 0.5787, Acc.bulletin board: 0.4362, Acc.shower: 0.0002, Acc.radiator: 0.4784, Acc.glass: 0.0363, Acc.clock: 0.0940, Acc.flag: 0.2744 +2022-06-18 21:20:30,631 - mmseg - INFO - Iter [80050/160000] lr: 3.078e-05, eta: 13:14:30, time: 1.255, data_time: 1.029, memory: 36327, decode.loss_ce: 0.3807, decode.acc_seg: 69.6215, aux.loss_ce: 0.1738, aux.acc_seg: 68.1888, loss: 0.5545 +2022-06-18 21:20:41,728 - mmseg - INFO - Iter [80100/160000] lr: 3.076e-05, eta: 12:51:22, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3635, decode.acc_seg: 68.6806, aux.loss_ce: 0.1658, aux.acc_seg: 67.4872, loss: 0.5292 +2022-06-18 21:20:53,124 - mmseg - INFO - Iter [80150/160000] lr: 3.074e-05, eta: 12:30:34, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3795, decode.acc_seg: 68.7563, aux.loss_ce: 0.1739, aux.acc_seg: 67.3019, loss: 0.5534 +2022-06-18 21:21:04,306 - mmseg - INFO - Iter [80200/160000] lr: 3.072e-05, eta: 12:11:14, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3602, decode.acc_seg: 68.6050, aux.loss_ce: 0.1651, aux.acc_seg: 67.2498, loss: 0.5254 +2022-06-18 21:21:15,601 - mmseg - INFO - Iter [80250/160000] lr: 3.070e-05, eta: 11:53:34, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3612, decode.acc_seg: 68.6999, aux.loss_ce: 0.1669, aux.acc_seg: 67.4005, loss: 0.5281 +2022-06-18 21:21:28,908 - mmseg - INFO - Iter [80300/160000] lr: 3.069e-05, eta: 11:39:18, time: 0.266, data_time: 0.047, memory: 36327, decode.loss_ce: 0.3328, decode.acc_seg: 70.3942, aux.loss_ce: 0.1541, aux.acc_seg: 69.0665, loss: 0.4869 +2022-06-18 21:21:40,246 - mmseg - INFO - Iter [80350/160000] lr: 3.067e-05, eta: 11:24:09, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3547, decode.acc_seg: 68.6226, aux.loss_ce: 0.1636, aux.acc_seg: 67.2349, loss: 0.5183 +2022-06-18 21:21:51,582 - mmseg - INFO - Iter [80400/160000] lr: 3.065e-05, eta: 11:10:03, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3342, decode.acc_seg: 70.4783, aux.loss_ce: 0.1546, aux.acc_seg: 69.1809, loss: 0.4887 +2022-06-18 21:22:02,748 - mmseg - INFO - Iter [80450/160000] lr: 3.063e-05, eta: 10:56:46, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3434, decode.acc_seg: 68.7241, aux.loss_ce: 0.1568, aux.acc_seg: 67.5198, loss: 0.5002 +2022-06-18 21:22:14,076 - mmseg - INFO - Iter [80500/160000] lr: 3.061e-05, eta: 10:44:28, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3591, decode.acc_seg: 69.4758, aux.loss_ce: 0.1650, aux.acc_seg: 68.1846, loss: 0.5241 +2022-06-18 21:22:25,466 - mmseg - INFO - Iter [80550/160000] lr: 3.059e-05, eta: 10:33:03, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3533, decode.acc_seg: 69.2334, aux.loss_ce: 0.1640, aux.acc_seg: 67.6793, loss: 0.5173 +2022-06-18 21:22:36,399 - mmseg - INFO - Iter [80600/160000] lr: 3.057e-05, eta: 10:21:55, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3769, decode.acc_seg: 70.0785, aux.loss_ce: 0.1709, aux.acc_seg: 68.9244, loss: 0.5478 +2022-06-18 21:22:47,914 - mmseg - INFO - Iter [80650/160000] lr: 3.055e-05, eta: 10:11:55, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3960, decode.acc_seg: 69.7005, aux.loss_ce: 0.1784, aux.acc_seg: 68.3735, loss: 0.5744 +2022-06-18 21:22:59,032 - mmseg - INFO - Iter [80700/160000] lr: 3.053e-05, eta: 10:02:12, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3623, decode.acc_seg: 68.9942, aux.loss_ce: 0.1640, aux.acc_seg: 67.7835, loss: 0.5262 +2022-06-18 21:23:10,135 - mmseg - INFO - Iter [80750/160000] lr: 3.051e-05, eta: 9:53:01, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3830, decode.acc_seg: 69.4550, aux.loss_ce: 0.1724, aux.acc_seg: 68.0950, loss: 0.5554 +2022-06-18 21:23:21,387 - mmseg - INFO - Iter [80800/160000] lr: 3.049e-05, eta: 9:44:25, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3501, decode.acc_seg: 69.3892, aux.loss_ce: 0.1594, aux.acc_seg: 68.1812, loss: 0.5096 +2022-06-18 21:23:32,876 - mmseg - INFO - Iter [80850/160000] lr: 3.047e-05, eta: 9:36:29, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3740, decode.acc_seg: 70.7433, aux.loss_ce: 0.1701, aux.acc_seg: 69.6075, loss: 0.5441 +2022-06-18 21:23:44,062 - mmseg - INFO - Iter [80900/160000] lr: 3.045e-05, eta: 9:28:43, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3753, decode.acc_seg: 68.4781, aux.loss_ce: 0.1701, aux.acc_seg: 67.2369, loss: 0.5454 +2022-06-18 21:23:55,470 - mmseg - INFO - Iter [80950/160000] lr: 3.044e-05, eta: 9:21:30, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3487, decode.acc_seg: 68.7421, aux.loss_ce: 0.1614, aux.acc_seg: 67.4787, loss: 0.5102 +2022-06-18 21:24:06,620 - mmseg - INFO - Saving checkpoint at 81000 iterations +2022-06-18 21:24:07,829 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:24:07,829 - mmseg - INFO - Iter [81000/160000] lr: 3.042e-05, eta: 9:15:15, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3732, decode.acc_seg: 69.2848, aux.loss_ce: 0.1688, aux.acc_seg: 67.8755, loss: 0.5420 +2022-06-18 21:24:18,841 - mmseg - INFO - Iter [81050/160000] lr: 3.040e-05, eta: 9:08:26, time: 0.220, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3674, decode.acc_seg: 67.9005, aux.loss_ce: 0.1653, aux.acc_seg: 66.8477, loss: 0.5327 +2022-06-18 21:24:30,195 - mmseg - INFO - Iter [81100/160000] lr: 3.038e-05, eta: 9:02:08, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3641, decode.acc_seg: 70.4907, aux.loss_ce: 0.1668, aux.acc_seg: 69.1934, loss: 0.5309 +2022-06-18 21:24:41,702 - mmseg - INFO - Iter [81150/160000] lr: 3.036e-05, eta: 8:56:15, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3572, decode.acc_seg: 69.7933, aux.loss_ce: 0.1647, aux.acc_seg: 68.5144, loss: 0.5219 +2022-06-18 21:24:53,077 - mmseg - INFO - Iter [81200/160000] lr: 3.034e-05, eta: 8:50:30, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3682, decode.acc_seg: 69.5597, aux.loss_ce: 0.1693, aux.acc_seg: 68.3089, loss: 0.5375 +2022-06-18 21:25:04,212 - mmseg - INFO - Iter [81250/160000] lr: 3.032e-05, eta: 8:44:53, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3754, decode.acc_seg: 69.5941, aux.loss_ce: 0.1701, aux.acc_seg: 68.5058, loss: 0.5454 +2022-06-18 21:25:15,610 - mmseg - INFO - Iter [81300/160000] lr: 3.030e-05, eta: 8:39:39, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3539, decode.acc_seg: 68.8329, aux.loss_ce: 0.1640, aux.acc_seg: 67.6099, loss: 0.5179 +2022-06-18 21:25:26,750 - mmseg - INFO - Iter [81350/160000] lr: 3.028e-05, eta: 8:34:29, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3532, decode.acc_seg: 68.7186, aux.loss_ce: 0.1600, aux.acc_seg: 67.4553, loss: 0.5132 +2022-06-18 21:25:38,030 - mmseg - INFO - Iter [81400/160000] lr: 3.026e-05, eta: 8:29:37, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3726, decode.acc_seg: 68.3036, aux.loss_ce: 0.1708, aux.acc_seg: 67.0419, loss: 0.5434 +2022-06-18 21:25:49,224 - mmseg - INFO - Iter [81450/160000] lr: 3.024e-05, eta: 8:24:53, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3536, decode.acc_seg: 70.1298, aux.loss_ce: 0.1596, aux.acc_seg: 68.9229, loss: 0.5131 +2022-06-18 21:26:00,553 - mmseg - INFO - Iter [81500/160000] lr: 3.022e-05, eta: 8:20:24, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3997, decode.acc_seg: 68.4530, aux.loss_ce: 0.1866, aux.acc_seg: 66.8999, loss: 0.5862 +2022-06-18 21:26:13,932 - mmseg - INFO - Iter [81550/160000] lr: 3.020e-05, eta: 8:17:08, time: 0.267, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3489, decode.acc_seg: 68.9976, aux.loss_ce: 0.1597, aux.acc_seg: 67.7801, loss: 0.5086 +2022-06-18 21:26:25,324 - mmseg - INFO - Iter [81600/160000] lr: 3.018e-05, eta: 8:12:59, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3662, decode.acc_seg: 67.9633, aux.loss_ce: 0.1704, aux.acc_seg: 66.6872, loss: 0.5366 +2022-06-18 21:26:36,561 - mmseg - INFO - Iter [81650/160000] lr: 3.017e-05, eta: 8:08:55, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3657, decode.acc_seg: 68.9770, aux.loss_ce: 0.1663, aux.acc_seg: 67.6754, loss: 0.5320 +2022-06-18 21:26:47,974 - mmseg - INFO - Iter [81700/160000] lr: 3.015e-05, eta: 8:05:05, time: 0.229, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3549, decode.acc_seg: 69.7563, aux.loss_ce: 0.1638, aux.acc_seg: 68.4438, loss: 0.5187 +2022-06-18 21:26:59,135 - mmseg - INFO - Iter [81750/160000] lr: 3.013e-05, eta: 8:01:14, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3768, decode.acc_seg: 70.5295, aux.loss_ce: 0.1721, aux.acc_seg: 69.1377, loss: 0.5489 +2022-06-18 21:27:10,497 - mmseg - INFO - Iter [81800/160000] lr: 3.011e-05, eta: 7:57:38, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3734, decode.acc_seg: 67.9484, aux.loss_ce: 0.1716, aux.acc_seg: 66.5396, loss: 0.5450 +2022-06-18 21:27:21,657 - mmseg - INFO - Iter [81850/160000] lr: 3.009e-05, eta: 7:54:04, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3691, decode.acc_seg: 68.4260, aux.loss_ce: 0.1710, aux.acc_seg: 66.9166, loss: 0.5401 +2022-06-18 21:27:33,268 - mmseg - INFO - Iter [81900/160000] lr: 3.007e-05, eta: 7:50:48, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3540, decode.acc_seg: 68.7833, aux.loss_ce: 0.1642, aux.acc_seg: 67.4208, loss: 0.5182 +2022-06-18 21:27:44,387 - mmseg - INFO - Iter [81950/160000] lr: 3.005e-05, eta: 7:47:25, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3455, decode.acc_seg: 69.0483, aux.loss_ce: 0.1593, aux.acc_seg: 67.7407, loss: 0.5048 +2022-06-18 21:27:55,592 - mmseg - INFO - Saving checkpoint at 82000 iterations +2022-06-18 21:27:56,670 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:27:56,671 - mmseg - INFO - Iter [82000/160000] lr: 3.003e-05, eta: 7:44:40, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3395, decode.acc_seg: 69.7936, aux.loss_ce: 0.1553, aux.acc_seg: 68.6230, loss: 0.4948 +2022-06-18 21:28:07,814 - mmseg - INFO - Iter [82050/160000] lr: 3.001e-05, eta: 7:41:30, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3580, decode.acc_seg: 70.2231, aux.loss_ce: 0.1617, aux.acc_seg: 69.2375, loss: 0.5196 +2022-06-18 21:28:19,185 - mmseg - INFO - Iter [82100/160000] lr: 2.999e-05, eta: 7:38:32, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3577, decode.acc_seg: 69.9296, aux.loss_ce: 0.1635, aux.acc_seg: 68.5727, loss: 0.5212 +2022-06-18 21:28:30,317 - mmseg - INFO - Iter [82150/160000] lr: 2.997e-05, eta: 7:35:33, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3549, decode.acc_seg: 70.3128, aux.loss_ce: 0.1606, aux.acc_seg: 69.0495, loss: 0.5155 +2022-06-18 21:28:41,558 - mmseg - INFO - Iter [82200/160000] lr: 2.995e-05, eta: 7:32:42, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3370, decode.acc_seg: 70.6549, aux.loss_ce: 0.1558, aux.acc_seg: 69.3305, loss: 0.4928 +2022-06-18 21:28:52,609 - mmseg - INFO - Iter [82250/160000] lr: 2.993e-05, eta: 7:29:51, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3417, decode.acc_seg: 69.8385, aux.loss_ce: 0.1562, aux.acc_seg: 68.4516, loss: 0.4979 +2022-06-18 21:29:03,576 - mmseg - INFO - Iter [82300/160000] lr: 2.992e-05, eta: 7:27:04, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3667, decode.acc_seg: 68.9357, aux.loss_ce: 0.1650, aux.acc_seg: 67.8038, loss: 0.5317 +2022-06-18 21:29:14,761 - mmseg - INFO - Iter [82350/160000] lr: 2.990e-05, eta: 7:24:25, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3464, decode.acc_seg: 69.5740, aux.loss_ce: 0.1585, aux.acc_seg: 68.3976, loss: 0.5049 +2022-06-18 21:29:26,038 - mmseg - INFO - Iter [82400/160000] lr: 2.988e-05, eta: 7:21:54, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3564, decode.acc_seg: 68.7067, aux.loss_ce: 0.1632, aux.acc_seg: 67.4068, loss: 0.5196 +2022-06-18 21:29:37,394 - mmseg - INFO - Iter [82450/160000] lr: 2.986e-05, eta: 7:19:28, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3969, decode.acc_seg: 69.6943, aux.loss_ce: 0.1802, aux.acc_seg: 68.5165, loss: 0.5771 +2022-06-18 21:29:48,750 - mmseg - INFO - Iter [82500/160000] lr: 2.984e-05, eta: 7:17:06, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3628, decode.acc_seg: 68.9013, aux.loss_ce: 0.1667, aux.acc_seg: 67.6894, loss: 0.5295 +2022-06-18 21:29:59,825 - mmseg - INFO - Iter [82550/160000] lr: 2.982e-05, eta: 7:14:42, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3891, decode.acc_seg: 69.0904, aux.loss_ce: 0.1774, aux.acc_seg: 67.6839, loss: 0.5665 +2022-06-18 21:30:11,061 - mmseg - INFO - Iter [82600/160000] lr: 2.980e-05, eta: 7:12:24, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3712, decode.acc_seg: 70.7719, aux.loss_ce: 0.1687, aux.acc_seg: 69.4997, loss: 0.5399 +2022-06-18 21:30:22,271 - mmseg - INFO - Iter [82650/160000] lr: 2.978e-05, eta: 7:10:10, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3437, decode.acc_seg: 69.0035, aux.loss_ce: 0.1571, aux.acc_seg: 67.7670, loss: 0.5008 +2022-06-18 21:30:33,864 - mmseg - INFO - Iter [82700/160000] lr: 2.976e-05, eta: 7:08:07, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3488, decode.acc_seg: 70.4709, aux.loss_ce: 0.1600, aux.acc_seg: 69.3246, loss: 0.5088 +2022-06-18 21:30:45,095 - mmseg - INFO - Iter [82750/160000] lr: 2.974e-05, eta: 7:06:00, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3487, decode.acc_seg: 69.9596, aux.loss_ce: 0.1601, aux.acc_seg: 68.8060, loss: 0.5089 +2022-06-18 21:30:58,842 - mmseg - INFO - Iter [82800/160000] lr: 2.972e-05, eta: 7:04:46, time: 0.275, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3576, decode.acc_seg: 69.1711, aux.loss_ce: 0.1641, aux.acc_seg: 67.9079, loss: 0.5217 +2022-06-18 21:31:10,207 - mmseg - INFO - Iter [82850/160000] lr: 2.970e-05, eta: 7:02:46, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3497, decode.acc_seg: 69.6950, aux.loss_ce: 0.1584, aux.acc_seg: 68.5238, loss: 0.5082 +2022-06-18 21:31:21,522 - mmseg - INFO - Iter [82900/160000] lr: 2.968e-05, eta: 7:00:49, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3373, decode.acc_seg: 71.3115, aux.loss_ce: 0.1576, aux.acc_seg: 69.8328, loss: 0.4949 +2022-06-18 21:31:32,749 - mmseg - INFO - Iter [82950/160000] lr: 2.967e-05, eta: 6:58:52, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3658, decode.acc_seg: 69.2417, aux.loss_ce: 0.1674, aux.acc_seg: 67.8717, loss: 0.5332 +2022-06-18 21:31:44,116 - mmseg - INFO - Saving checkpoint at 83000 iterations +2022-06-18 21:31:45,170 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:31:45,170 - mmseg - INFO - Iter [83000/160000] lr: 2.965e-05, eta: 6:57:21, time: 0.248, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3586, decode.acc_seg: 70.7026, aux.loss_ce: 0.1651, aux.acc_seg: 69.2421, loss: 0.5238 +2022-06-18 21:31:56,568 - mmseg - INFO - Iter [83050/160000] lr: 2.963e-05, eta: 6:55:32, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3401, decode.acc_seg: 69.2725, aux.loss_ce: 0.1572, aux.acc_seg: 68.0058, loss: 0.4974 +2022-06-18 21:32:07,817 - mmseg - INFO - Iter [83100/160000] lr: 2.961e-05, eta: 6:53:43, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3484, decode.acc_seg: 70.6654, aux.loss_ce: 0.1613, aux.acc_seg: 69.3001, loss: 0.5097 +2022-06-18 21:32:19,031 - mmseg - INFO - Iter [83150/160000] lr: 2.959e-05, eta: 6:51:56, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3582, decode.acc_seg: 70.6553, aux.loss_ce: 0.1648, aux.acc_seg: 69.3863, loss: 0.5231 +2022-06-18 21:32:30,361 - mmseg - INFO - Iter [83200/160000] lr: 2.957e-05, eta: 6:50:13, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3446, decode.acc_seg: 69.9422, aux.loss_ce: 0.1593, aux.acc_seg: 68.6342, loss: 0.5039 +2022-06-18 21:32:41,868 - mmseg - INFO - Iter [83250/160000] lr: 2.955e-05, eta: 6:48:35, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3573, decode.acc_seg: 69.8111, aux.loss_ce: 0.1627, aux.acc_seg: 68.4596, loss: 0.5200 +2022-06-18 21:32:52,924 - mmseg - INFO - Iter [83300/160000] lr: 2.953e-05, eta: 6:46:52, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3624, decode.acc_seg: 70.1227, aux.loss_ce: 0.1676, aux.acc_seg: 68.7168, loss: 0.5300 +2022-06-18 21:33:04,067 - mmseg - INFO - Iter [83350/160000] lr: 2.951e-05, eta: 6:45:12, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3498, decode.acc_seg: 70.2292, aux.loss_ce: 0.1631, aux.acc_seg: 68.6966, loss: 0.5129 +2022-06-18 21:33:15,341 - mmseg - INFO - Iter [83400/160000] lr: 2.949e-05, eta: 6:43:36, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3644, decode.acc_seg: 68.4516, aux.loss_ce: 0.1678, aux.acc_seg: 67.1472, loss: 0.5322 +2022-06-18 21:33:26,364 - mmseg - INFO - Iter [83450/160000] lr: 2.947e-05, eta: 6:41:58, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3738, decode.acc_seg: 68.9021, aux.loss_ce: 0.1724, aux.acc_seg: 67.6076, loss: 0.5462 +2022-06-18 21:33:37,685 - mmseg - INFO - Iter [83500/160000] lr: 2.945e-05, eta: 6:40:27, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3499, decode.acc_seg: 69.6907, aux.loss_ce: 0.1606, aux.acc_seg: 68.3806, loss: 0.5106 +2022-06-18 21:33:48,881 - mmseg - INFO - Iter [83550/160000] lr: 2.943e-05, eta: 6:38:55, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3401, decode.acc_seg: 70.7578, aux.loss_ce: 0.1572, aux.acc_seg: 69.3785, loss: 0.4973 +2022-06-18 21:34:00,356 - mmseg - INFO - Iter [83600/160000] lr: 2.941e-05, eta: 6:37:30, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3659, decode.acc_seg: 69.4056, aux.loss_ce: 0.1676, aux.acc_seg: 68.3199, loss: 0.5336 +2022-06-18 21:34:11,533 - mmseg - INFO - Iter [83650/160000] lr: 2.940e-05, eta: 6:36:02, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3600, decode.acc_seg: 70.6468, aux.loss_ce: 0.1658, aux.acc_seg: 69.3209, loss: 0.5258 +2022-06-18 21:34:22,906 - mmseg - INFO - Iter [83700/160000] lr: 2.938e-05, eta: 6:34:38, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3487, decode.acc_seg: 71.0824, aux.loss_ce: 0.1615, aux.acc_seg: 69.7621, loss: 0.5102 +2022-06-18 21:34:34,144 - mmseg - INFO - Iter [83750/160000] lr: 2.936e-05, eta: 6:33:14, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3881, decode.acc_seg: 69.6936, aux.loss_ce: 0.1746, aux.acc_seg: 68.6190, loss: 0.5627 +2022-06-18 21:34:45,536 - mmseg - INFO - Iter [83800/160000] lr: 2.934e-05, eta: 6:31:54, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3693, decode.acc_seg: 65.8935, aux.loss_ce: 0.1694, aux.acc_seg: 64.5155, loss: 0.5387 +2022-06-18 21:34:56,501 - mmseg - INFO - Iter [83850/160000] lr: 2.932e-05, eta: 6:30:28, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3702, decode.acc_seg: 68.7207, aux.loss_ce: 0.1682, aux.acc_seg: 67.3605, loss: 0.5384 +2022-06-18 21:35:07,640 - mmseg - INFO - Iter [83900/160000] lr: 2.930e-05, eta: 6:29:07, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3631, decode.acc_seg: 69.0715, aux.loss_ce: 0.1663, aux.acc_seg: 67.8732, loss: 0.5294 +2022-06-18 21:35:19,039 - mmseg - INFO - Iter [83950/160000] lr: 2.928e-05, eta: 6:27:51, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3569, decode.acc_seg: 68.2926, aux.loss_ce: 0.1625, aux.acc_seg: 67.1194, loss: 0.5193 +2022-06-18 21:35:30,114 - mmseg - INFO - Saving checkpoint at 84000 iterations +2022-06-18 21:35:31,231 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:35:31,231 - mmseg - INFO - Iter [84000/160000] lr: 2.926e-05, eta: 6:26:49, time: 0.244, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3547, decode.acc_seg: 68.1400, aux.loss_ce: 0.1618, aux.acc_seg: 67.0379, loss: 0.5165 +2022-06-18 21:35:42,083 - mmseg - INFO - Iter [84050/160000] lr: 2.924e-05, eta: 6:25:27, time: 0.217, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3631, decode.acc_seg: 69.0306, aux.loss_ce: 0.1673, aux.acc_seg: 67.8341, loss: 0.5304 +2022-06-18 21:35:55,922 - mmseg - INFO - Iter [84100/160000] lr: 2.922e-05, eta: 6:24:51, time: 0.277, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3483, decode.acc_seg: 71.2162, aux.loss_ce: 0.1610, aux.acc_seg: 69.7776, loss: 0.5093 +2022-06-18 21:36:07,130 - mmseg - INFO - Iter [84150/160000] lr: 2.920e-05, eta: 6:23:37, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3438, decode.acc_seg: 69.2521, aux.loss_ce: 0.1584, aux.acc_seg: 67.9205, loss: 0.5022 +2022-06-18 21:36:18,390 - mmseg - INFO - Iter [84200/160000] lr: 2.918e-05, eta: 6:22:25, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3402, decode.acc_seg: 68.9006, aux.loss_ce: 0.1559, aux.acc_seg: 67.5786, loss: 0.4961 +2022-06-18 21:36:29,909 - mmseg - INFO - Iter [84250/160000] lr: 2.916e-05, eta: 6:21:18, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3442, decode.acc_seg: 69.9734, aux.loss_ce: 0.1588, aux.acc_seg: 68.7635, loss: 0.5030 +2022-06-18 21:36:41,223 - mmseg - INFO - Iter [84300/160000] lr: 2.915e-05, eta: 6:20:08, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3517, decode.acc_seg: 69.8617, aux.loss_ce: 0.1633, aux.acc_seg: 68.4287, loss: 0.5150 +2022-06-18 21:36:52,444 - mmseg - INFO - Iter [84350/160000] lr: 2.913e-05, eta: 6:18:59, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3313, decode.acc_seg: 69.8393, aux.loss_ce: 0.1539, aux.acc_seg: 68.5042, loss: 0.4852 +2022-06-18 21:37:03,796 - mmseg - INFO - Iter [84400/160000] lr: 2.911e-05, eta: 6:17:52, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3452, decode.acc_seg: 68.5432, aux.loss_ce: 0.1599, aux.acc_seg: 67.1379, loss: 0.5052 +2022-06-18 21:37:15,137 - mmseg - INFO - Iter [84450/160000] lr: 2.909e-05, eta: 6:16:47, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3526, decode.acc_seg: 70.3296, aux.loss_ce: 0.1606, aux.acc_seg: 69.0767, loss: 0.5131 +2022-06-18 21:37:26,694 - mmseg - INFO - Iter [84500/160000] lr: 2.907e-05, eta: 6:15:45, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3619, decode.acc_seg: 70.0202, aux.loss_ce: 0.1685, aux.acc_seg: 68.6238, loss: 0.5305 +2022-06-18 21:37:37,908 - mmseg - INFO - Iter [84550/160000] lr: 2.905e-05, eta: 6:14:39, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3446, decode.acc_seg: 69.1025, aux.loss_ce: 0.1569, aux.acc_seg: 67.9957, loss: 0.5014 +2022-06-18 21:37:49,284 - mmseg - INFO - Iter [84600/160000] lr: 2.903e-05, eta: 6:13:37, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3544, decode.acc_seg: 68.0246, aux.loss_ce: 0.1628, aux.acc_seg: 66.6920, loss: 0.5172 +2022-06-18 21:38:00,400 - mmseg - INFO - Iter [84650/160000] lr: 2.901e-05, eta: 6:12:33, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3555, decode.acc_seg: 69.9354, aux.loss_ce: 0.1627, aux.acc_seg: 68.6921, loss: 0.5182 +2022-06-18 21:38:11,841 - mmseg - INFO - Iter [84700/160000] lr: 2.899e-05, eta: 6:11:33, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3537, decode.acc_seg: 70.3259, aux.loss_ce: 0.1607, aux.acc_seg: 69.1019, loss: 0.5143 +2022-06-18 21:38:23,077 - mmseg - INFO - Iter [84750/160000] lr: 2.897e-05, eta: 6:10:31, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3754, decode.acc_seg: 69.4044, aux.loss_ce: 0.1741, aux.acc_seg: 67.8114, loss: 0.5495 +2022-06-18 21:38:34,197 - mmseg - INFO - Iter [84800/160000] lr: 2.895e-05, eta: 6:09:29, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3672, decode.acc_seg: 68.3922, aux.loss_ce: 0.1687, aux.acc_seg: 67.2750, loss: 0.5359 +2022-06-18 21:38:45,384 - mmseg - INFO - Iter [84850/160000] lr: 2.893e-05, eta: 6:08:29, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3511, decode.acc_seg: 69.0123, aux.loss_ce: 0.1610, aux.acc_seg: 67.8803, loss: 0.5122 +2022-06-18 21:38:56,775 - mmseg - INFO - Iter [84900/160000] lr: 2.891e-05, eta: 6:07:32, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3561, decode.acc_seg: 69.3069, aux.loss_ce: 0.1632, aux.acc_seg: 67.9377, loss: 0.5193 +2022-06-18 21:39:08,143 - mmseg - INFO - Iter [84950/160000] lr: 2.890e-05, eta: 6:06:35, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3457, decode.acc_seg: 69.8789, aux.loss_ce: 0.1600, aux.acc_seg: 68.6415, loss: 0.5056 +2022-06-18 21:39:19,613 - mmseg - INFO - Saving checkpoint at 85000 iterations +2022-06-18 21:39:20,650 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:39:20,651 - mmseg - INFO - Iter [85000/160000] lr: 2.888e-05, eta: 6:05:54, time: 0.250, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3643, decode.acc_seg: 69.9067, aux.loss_ce: 0.1669, aux.acc_seg: 68.5385, loss: 0.5311 +2022-06-18 21:39:31,633 - mmseg - INFO - Iter [85050/160000] lr: 2.886e-05, eta: 6:04:54, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3635, decode.acc_seg: 69.5749, aux.loss_ce: 0.1660, aux.acc_seg: 68.2367, loss: 0.5295 +2022-06-18 21:39:42,938 - mmseg - INFO - Iter [85100/160000] lr: 2.884e-05, eta: 6:03:59, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3604, decode.acc_seg: 69.2226, aux.loss_ce: 0.1661, aux.acc_seg: 67.8447, loss: 0.5264 +2022-06-18 21:39:54,228 - mmseg - INFO - Iter [85150/160000] lr: 2.882e-05, eta: 6:03:04, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3557, decode.acc_seg: 70.5413, aux.loss_ce: 0.1642, aux.acc_seg: 69.0434, loss: 0.5198 +2022-06-18 21:40:05,603 - mmseg - INFO - Iter [85200/160000] lr: 2.880e-05, eta: 6:02:11, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3602, decode.acc_seg: 69.0837, aux.loss_ce: 0.1641, aux.acc_seg: 67.8630, loss: 0.5243 +2022-06-18 21:40:16,941 - mmseg - INFO - Iter [85250/160000] lr: 2.878e-05, eta: 6:01:19, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3454, decode.acc_seg: 69.4702, aux.loss_ce: 0.1587, aux.acc_seg: 67.9876, loss: 0.5042 +2022-06-18 21:40:28,335 - mmseg - INFO - Iter [85300/160000] lr: 2.876e-05, eta: 6:00:27, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3330, decode.acc_seg: 69.6675, aux.loss_ce: 0.1524, aux.acc_seg: 68.5347, loss: 0.4854 +2022-06-18 21:40:41,692 - mmseg - INFO - Iter [85350/160000] lr: 2.874e-05, eta: 6:00:00, time: 0.267, data_time: 0.047, memory: 36327, decode.loss_ce: 0.3608, decode.acc_seg: 68.3759, aux.loss_ce: 0.1648, aux.acc_seg: 66.9787, loss: 0.5257 +2022-06-18 21:40:53,104 - mmseg - INFO - Iter [85400/160000] lr: 2.872e-05, eta: 5:59:10, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3365, decode.acc_seg: 71.5405, aux.loss_ce: 0.1522, aux.acc_seg: 70.2860, loss: 0.4888 +2022-06-18 21:41:04,354 - mmseg - INFO - Iter [85450/160000] lr: 2.870e-05, eta: 5:58:18, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3376, decode.acc_seg: 70.6828, aux.loss_ce: 0.1559, aux.acc_seg: 69.2147, loss: 0.4935 +2022-06-18 21:41:15,524 - mmseg - INFO - Iter [85500/160000] lr: 2.868e-05, eta: 5:57:27, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3468, decode.acc_seg: 69.2195, aux.loss_ce: 0.1596, aux.acc_seg: 67.8768, loss: 0.5064 +2022-06-18 21:41:26,868 - mmseg - INFO - Iter [85550/160000] lr: 2.866e-05, eta: 5:56:38, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3561, decode.acc_seg: 70.5602, aux.loss_ce: 0.1642, aux.acc_seg: 69.3240, loss: 0.5203 +2022-06-18 21:41:38,290 - mmseg - INFO - Iter [85600/160000] lr: 2.864e-05, eta: 5:55:50, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3279, decode.acc_seg: 70.2209, aux.loss_ce: 0.1490, aux.acc_seg: 69.2447, loss: 0.4769 +2022-06-18 21:41:49,401 - mmseg - INFO - Iter [85650/160000] lr: 2.863e-05, eta: 5:54:59, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3324, decode.acc_seg: 71.0561, aux.loss_ce: 0.1539, aux.acc_seg: 69.6084, loss: 0.4862 +2022-06-18 21:42:00,991 - mmseg - INFO - Iter [85700/160000] lr: 2.861e-05, eta: 5:54:15, time: 0.231, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3444, decode.acc_seg: 68.9211, aux.loss_ce: 0.1572, aux.acc_seg: 67.7362, loss: 0.5016 +2022-06-18 21:42:12,389 - mmseg - INFO - Iter [85750/160000] lr: 2.859e-05, eta: 5:53:28, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3575, decode.acc_seg: 69.9216, aux.loss_ce: 0.1629, aux.acc_seg: 68.7587, loss: 0.5203 +2022-06-18 21:42:23,672 - mmseg - INFO - Iter [85800/160000] lr: 2.857e-05, eta: 5:52:42, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3603, decode.acc_seg: 70.0282, aux.loss_ce: 0.1643, aux.acc_seg: 68.9690, loss: 0.5245 +2022-06-18 21:42:35,137 - mmseg - INFO - Iter [85850/160000] lr: 2.855e-05, eta: 5:51:57, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3388, decode.acc_seg: 68.8622, aux.loss_ce: 0.1553, aux.acc_seg: 67.6283, loss: 0.4941 +2022-06-18 21:42:46,547 - mmseg - INFO - Iter [85900/160000] lr: 2.853e-05, eta: 5:51:12, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3654, decode.acc_seg: 70.1103, aux.loss_ce: 0.1718, aux.acc_seg: 68.6829, loss: 0.5372 +2022-06-18 21:42:57,830 - mmseg - INFO - Iter [85950/160000] lr: 2.851e-05, eta: 5:50:27, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3494, decode.acc_seg: 69.7699, aux.loss_ce: 0.1609, aux.acc_seg: 68.4479, loss: 0.5102 +2022-06-18 21:43:09,282 - mmseg - INFO - Saving checkpoint at 86000 iterations +2022-06-18 21:43:10,263 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:43:10,263 - mmseg - INFO - Iter [86000/160000] lr: 2.849e-05, eta: 5:49:54, time: 0.249, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3434, decode.acc_seg: 70.3419, aux.loss_ce: 0.1583, aux.acc_seg: 69.0947, loss: 0.5018 +2022-06-18 21:43:21,548 - mmseg - INFO - Iter [86050/160000] lr: 2.847e-05, eta: 5:49:09, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3437, decode.acc_seg: 69.7134, aux.loss_ce: 0.1619, aux.acc_seg: 68.2117, loss: 0.5056 +2022-06-18 21:43:33,069 - mmseg - INFO - Iter [86100/160000] lr: 2.845e-05, eta: 5:48:28, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3427, decode.acc_seg: 70.1004, aux.loss_ce: 0.1541, aux.acc_seg: 69.1317, loss: 0.4968 +2022-06-18 21:43:44,393 - mmseg - INFO - Iter [86150/160000] lr: 2.843e-05, eta: 5:47:44, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3424, decode.acc_seg: 70.0161, aux.loss_ce: 0.1572, aux.acc_seg: 68.7360, loss: 0.4996 +2022-06-18 21:43:55,590 - mmseg - INFO - Iter [86200/160000] lr: 2.841e-05, eta: 5:47:00, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3676, decode.acc_seg: 68.5003, aux.loss_ce: 0.1695, aux.acc_seg: 67.1256, loss: 0.5371 +2022-06-18 21:44:06,932 - mmseg - INFO - Iter [86250/160000] lr: 2.839e-05, eta: 5:46:18, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3478, decode.acc_seg: 69.4228, aux.loss_ce: 0.1606, aux.acc_seg: 68.1280, loss: 0.5084 +2022-06-18 21:44:18,272 - mmseg - INFO - Iter [86300/160000] lr: 2.838e-05, eta: 5:45:36, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3311, decode.acc_seg: 69.9283, aux.loss_ce: 0.1525, aux.acc_seg: 68.8979, loss: 0.4836 +2022-06-18 21:44:29,656 - mmseg - INFO - Iter [86350/160000] lr: 2.836e-05, eta: 5:44:55, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3496, decode.acc_seg: 69.3696, aux.loss_ce: 0.1604, aux.acc_seg: 68.1372, loss: 0.5100 +2022-06-18 21:44:40,887 - mmseg - INFO - Iter [86400/160000] lr: 2.834e-05, eta: 5:44:13, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3686, decode.acc_seg: 67.8892, aux.loss_ce: 0.1672, aux.acc_seg: 66.7947, loss: 0.5358 +2022-06-18 21:44:52,112 - mmseg - INFO - Iter [86450/160000] lr: 2.832e-05, eta: 5:43:31, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3544, decode.acc_seg: 69.3551, aux.loss_ce: 0.1657, aux.acc_seg: 67.9399, loss: 0.5201 +2022-06-18 21:45:03,539 - mmseg - INFO - Iter [86500/160000] lr: 2.830e-05, eta: 5:42:52, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3694, decode.acc_seg: 70.0824, aux.loss_ce: 0.1681, aux.acc_seg: 68.7817, loss: 0.5374 +2022-06-18 21:45:14,622 - mmseg - INFO - Iter [86550/160000] lr: 2.828e-05, eta: 5:42:10, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3673, decode.acc_seg: 69.1050, aux.loss_ce: 0.1705, aux.acc_seg: 67.5109, loss: 0.5378 +2022-06-18 21:45:28,199 - mmseg - INFO - Iter [86600/160000] lr: 2.826e-05, eta: 5:41:52, time: 0.271, data_time: 0.051, memory: 36327, decode.loss_ce: 0.3502, decode.acc_seg: 70.7553, aux.loss_ce: 0.1609, aux.acc_seg: 69.2306, loss: 0.5112 +2022-06-18 21:45:39,417 - mmseg - INFO - Iter [86650/160000] lr: 2.824e-05, eta: 5:41:12, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3235, decode.acc_seg: 69.5516, aux.loss_ce: 0.1529, aux.acc_seg: 68.1627, loss: 0.4764 +2022-06-18 21:45:50,781 - mmseg - INFO - Iter [86700/160000] lr: 2.822e-05, eta: 5:40:33, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3606, decode.acc_seg: 70.4667, aux.loss_ce: 0.1640, aux.acc_seg: 69.2901, loss: 0.5246 +2022-06-18 21:46:02,130 - mmseg - INFO - Iter [86750/160000] lr: 2.820e-05, eta: 5:39:55, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3603, decode.acc_seg: 68.8122, aux.loss_ce: 0.1698, aux.acc_seg: 67.1886, loss: 0.5301 +2022-06-18 21:46:13,348 - mmseg - INFO - Iter [86800/160000] lr: 2.818e-05, eta: 5:39:15, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3419, decode.acc_seg: 70.1665, aux.loss_ce: 0.1581, aux.acc_seg: 68.9370, loss: 0.5000 +2022-06-18 21:46:24,690 - mmseg - INFO - Iter [86850/160000] lr: 2.816e-05, eta: 5:38:37, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3483, decode.acc_seg: 68.5325, aux.loss_ce: 0.1603, aux.acc_seg: 67.3089, loss: 0.5086 +2022-06-18 21:46:36,094 - mmseg - INFO - Iter [86900/160000] lr: 2.814e-05, eta: 5:38:01, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3569, decode.acc_seg: 70.9507, aux.loss_ce: 0.1650, aux.acc_seg: 69.4219, loss: 0.5219 +2022-06-18 21:46:47,528 - mmseg - INFO - Iter [86950/160000] lr: 2.813e-05, eta: 5:37:24, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3247, decode.acc_seg: 69.3003, aux.loss_ce: 0.1487, aux.acc_seg: 68.0126, loss: 0.4735 +2022-06-18 21:46:59,013 - mmseg - INFO - Saving checkpoint at 87000 iterations +2022-06-18 21:47:00,192 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:47:00,192 - mmseg - INFO - Iter [87000/160000] lr: 2.811e-05, eta: 5:37:00, time: 0.253, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3247, decode.acc_seg: 69.6873, aux.loss_ce: 0.1518, aux.acc_seg: 68.2692, loss: 0.4765 +2022-06-18 21:47:11,361 - mmseg - INFO - Iter [87050/160000] lr: 2.809e-05, eta: 5:36:21, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3696, decode.acc_seg: 71.1746, aux.loss_ce: 0.1701, aux.acc_seg: 69.8715, loss: 0.5397 +2022-06-18 21:47:22,468 - mmseg - INFO - Iter [87100/160000] lr: 2.807e-05, eta: 5:35:43, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3486, decode.acc_seg: 69.1140, aux.loss_ce: 0.1608, aux.acc_seg: 67.7316, loss: 0.5094 +2022-06-18 21:47:33,619 - mmseg - INFO - Iter [87150/160000] lr: 2.805e-05, eta: 5:35:05, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3580, decode.acc_seg: 69.2480, aux.loss_ce: 0.1626, aux.acc_seg: 68.2190, loss: 0.5206 +2022-06-18 21:47:45,097 - mmseg - INFO - Iter [87200/160000] lr: 2.803e-05, eta: 5:34:31, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3532, decode.acc_seg: 71.2880, aux.loss_ce: 0.1614, aux.acc_seg: 69.9040, loss: 0.5146 +2022-06-18 21:47:56,337 - mmseg - INFO - Iter [87250/160000] lr: 2.801e-05, eta: 5:33:55, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3575, decode.acc_seg: 69.7564, aux.loss_ce: 0.1676, aux.acc_seg: 68.3617, loss: 0.5251 +2022-06-18 21:48:07,591 - mmseg - INFO - Iter [87300/160000] lr: 2.799e-05, eta: 5:33:19, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3543, decode.acc_seg: 70.7997, aux.loss_ce: 0.1660, aux.acc_seg: 69.1480, loss: 0.5202 +2022-06-18 21:48:18,832 - mmseg - INFO - Iter [87350/160000] lr: 2.797e-05, eta: 5:32:43, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3415, decode.acc_seg: 68.5738, aux.loss_ce: 0.1587, aux.acc_seg: 67.2676, loss: 0.5002 +2022-06-18 21:48:30,415 - mmseg - INFO - Iter [87400/160000] lr: 2.795e-05, eta: 5:32:11, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3338, decode.acc_seg: 69.9350, aux.loss_ce: 0.1544, aux.acc_seg: 68.6560, loss: 0.4882 +2022-06-18 21:48:41,452 - mmseg - INFO - Iter [87450/160000] lr: 2.793e-05, eta: 5:31:34, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3319, decode.acc_seg: 70.0145, aux.loss_ce: 0.1528, aux.acc_seg: 68.8068, loss: 0.4847 +2022-06-18 21:48:52,618 - mmseg - INFO - Iter [87500/160000] lr: 2.791e-05, eta: 5:30:59, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3512, decode.acc_seg: 69.6413, aux.loss_ce: 0.1593, aux.acc_seg: 68.4267, loss: 0.5105 +2022-06-18 21:49:04,056 - mmseg - INFO - Iter [87550/160000] lr: 2.789e-05, eta: 5:30:26, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3400, decode.acc_seg: 69.2983, aux.loss_ce: 0.1544, aux.acc_seg: 68.1905, loss: 0.4944 +2022-06-18 21:49:15,252 - mmseg - INFO - Iter [87600/160000] lr: 2.787e-05, eta: 5:29:51, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3593, decode.acc_seg: 69.5107, aux.loss_ce: 0.1653, aux.acc_seg: 68.1879, loss: 0.5246 +2022-06-18 21:49:26,543 - mmseg - INFO - Iter [87650/160000] lr: 2.786e-05, eta: 5:29:18, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3481, decode.acc_seg: 69.6111, aux.loss_ce: 0.1595, aux.acc_seg: 68.4224, loss: 0.5076 +2022-06-18 21:49:37,803 - mmseg - INFO - Iter [87700/160000] lr: 2.784e-05, eta: 5:28:44, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3600, decode.acc_seg: 68.8620, aux.loss_ce: 0.1666, aux.acc_seg: 67.4174, loss: 0.5266 +2022-06-18 21:49:49,144 - mmseg - INFO - Iter [87750/160000] lr: 2.782e-05, eta: 5:28:12, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3489, decode.acc_seg: 68.9531, aux.loss_ce: 0.1591, aux.acc_seg: 67.7771, loss: 0.5080 +2022-06-18 21:50:00,728 - mmseg - INFO - Iter [87800/160000] lr: 2.780e-05, eta: 5:27:41, time: 0.231, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3267, decode.acc_seg: 69.4584, aux.loss_ce: 0.1518, aux.acc_seg: 68.2751, loss: 0.4785 +2022-06-18 21:50:14,361 - mmseg - INFO - Iter [87850/160000] lr: 2.778e-05, eta: 5:27:28, time: 0.273, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3536, decode.acc_seg: 71.0262, aux.loss_ce: 0.1642, aux.acc_seg: 69.6216, loss: 0.5178 +2022-06-18 21:50:25,583 - mmseg - INFO - Iter [87900/160000] lr: 2.776e-05, eta: 5:26:55, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3482, decode.acc_seg: 69.0932, aux.loss_ce: 0.1602, aux.acc_seg: 67.7886, loss: 0.5084 +2022-06-18 21:50:36,800 - mmseg - INFO - Iter [87950/160000] lr: 2.774e-05, eta: 5:26:22, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3185, decode.acc_seg: 70.3932, aux.loss_ce: 0.1480, aux.acc_seg: 69.2859, loss: 0.4665 +2022-06-18 21:50:47,897 - mmseg - INFO - Saving checkpoint at 88000 iterations +2022-06-18 21:50:48,940 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:50:48,940 - mmseg - INFO - Iter [88000/160000] lr: 2.772e-05, eta: 5:25:57, time: 0.243, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3293, decode.acc_seg: 70.5580, aux.loss_ce: 0.1537, aux.acc_seg: 69.1102, loss: 0.4830 +2022-06-18 21:51:00,270 - mmseg - INFO - Iter [88050/160000] lr: 2.770e-05, eta: 5:25:25, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3353, decode.acc_seg: 69.2722, aux.loss_ce: 0.1567, aux.acc_seg: 67.7290, loss: 0.4919 +2022-06-18 21:51:11,488 - mmseg - INFO - Iter [88100/160000] lr: 2.768e-05, eta: 5:24:53, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3374, decode.acc_seg: 68.5737, aux.loss_ce: 0.1558, aux.acc_seg: 67.3248, loss: 0.4932 +2022-06-18 21:51:22,554 - mmseg - INFO - Iter [88150/160000] lr: 2.766e-05, eta: 5:24:20, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3439, decode.acc_seg: 72.0726, aux.loss_ce: 0.1611, aux.acc_seg: 70.6197, loss: 0.5050 +2022-06-18 21:51:33,952 - mmseg - INFO - Iter [88200/160000] lr: 2.764e-05, eta: 5:23:50, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3362, decode.acc_seg: 69.9590, aux.loss_ce: 0.1562, aux.acc_seg: 68.6863, loss: 0.4924 +2022-06-18 21:51:45,333 - mmseg - INFO - Iter [88250/160000] lr: 2.762e-05, eta: 5:23:19, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3468, decode.acc_seg: 69.9609, aux.loss_ce: 0.1599, aux.acc_seg: 68.7004, loss: 0.5068 +2022-06-18 21:51:56,412 - mmseg - INFO - Iter [88300/160000] lr: 2.761e-05, eta: 5:22:47, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3464, decode.acc_seg: 69.6129, aux.loss_ce: 0.1571, aux.acc_seg: 68.6744, loss: 0.5035 +2022-06-18 21:52:07,697 - mmseg - INFO - Iter [88350/160000] lr: 2.759e-05, eta: 5:22:17, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3451, decode.acc_seg: 69.6406, aux.loss_ce: 0.1583, aux.acc_seg: 68.4515, loss: 0.5033 +2022-06-18 21:52:18,881 - mmseg - INFO - Iter [88400/160000] lr: 2.757e-05, eta: 5:21:46, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3611, decode.acc_seg: 69.0757, aux.loss_ce: 0.1673, aux.acc_seg: 67.5679, loss: 0.5284 +2022-06-18 21:52:30,260 - mmseg - INFO - Iter [88450/160000] lr: 2.755e-05, eta: 5:21:16, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3601, decode.acc_seg: 69.7436, aux.loss_ce: 0.1650, aux.acc_seg: 68.5635, loss: 0.5251 +2022-06-18 21:52:41,934 - mmseg - INFO - Iter [88500/160000] lr: 2.753e-05, eta: 5:20:49, time: 0.233, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3346, decode.acc_seg: 70.2909, aux.loss_ce: 0.1536, aux.acc_seg: 69.0012, loss: 0.4882 +2022-06-18 21:52:53,200 - mmseg - INFO - Iter [88550/160000] lr: 2.751e-05, eta: 5:20:19, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3423, decode.acc_seg: 70.2058, aux.loss_ce: 0.1598, aux.acc_seg: 68.8721, loss: 0.5021 +2022-06-18 21:53:04,122 - mmseg - INFO - Iter [88600/160000] lr: 2.749e-05, eta: 5:19:47, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3411, decode.acc_seg: 70.3948, aux.loss_ce: 0.1587, aux.acc_seg: 69.1577, loss: 0.4998 +2022-06-18 21:53:15,460 - mmseg - INFO - Iter [88650/160000] lr: 2.747e-05, eta: 5:19:18, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3671, decode.acc_seg: 69.7968, aux.loss_ce: 0.1678, aux.acc_seg: 68.5410, loss: 0.5349 +2022-06-18 21:53:26,852 - mmseg - INFO - Iter [88700/160000] lr: 2.745e-05, eta: 5:18:50, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3448, decode.acc_seg: 70.3266, aux.loss_ce: 0.1584, aux.acc_seg: 69.0075, loss: 0.5032 +2022-06-18 21:53:38,198 - mmseg - INFO - Iter [88750/160000] lr: 2.743e-05, eta: 5:18:21, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3379, decode.acc_seg: 69.3479, aux.loss_ce: 0.1561, aux.acc_seg: 67.9647, loss: 0.4941 +2022-06-18 21:53:49,511 - mmseg - INFO - Iter [88800/160000] lr: 2.741e-05, eta: 5:17:53, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3579, decode.acc_seg: 69.4453, aux.loss_ce: 0.1632, aux.acc_seg: 68.1771, loss: 0.5211 +2022-06-18 21:54:00,832 - mmseg - INFO - Iter [88850/160000] lr: 2.739e-05, eta: 5:17:24, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3484, decode.acc_seg: 69.4038, aux.loss_ce: 0.1605, aux.acc_seg: 67.9174, loss: 0.5089 +2022-06-18 21:54:12,229 - mmseg - INFO - Iter [88900/160000] lr: 2.737e-05, eta: 5:16:56, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3412, decode.acc_seg: 69.0281, aux.loss_ce: 0.1579, aux.acc_seg: 67.6848, loss: 0.4991 +2022-06-18 21:54:23,504 - mmseg - INFO - Iter [88950/160000] lr: 2.736e-05, eta: 5:16:28, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3659, decode.acc_seg: 69.4764, aux.loss_ce: 0.1679, aux.acc_seg: 68.1165, loss: 0.5338 +2022-06-18 21:54:35,013 - mmseg - INFO - Saving checkpoint at 89000 iterations +2022-06-18 21:54:36,014 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:54:36,014 - mmseg - INFO - Iter [89000/160000] lr: 2.734e-05, eta: 5:16:09, time: 0.250, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3426, decode.acc_seg: 69.6453, aux.loss_ce: 0.1605, aux.acc_seg: 68.3441, loss: 0.5030 +2022-06-18 21:54:47,235 - mmseg - INFO - Iter [89050/160000] lr: 2.732e-05, eta: 5:15:40, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3364, decode.acc_seg: 69.1300, aux.loss_ce: 0.1526, aux.acc_seg: 68.0955, loss: 0.4889 +2022-06-18 21:54:58,488 - mmseg - INFO - Iter [89100/160000] lr: 2.730e-05, eta: 5:15:12, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3547, decode.acc_seg: 69.3219, aux.loss_ce: 0.1665, aux.acc_seg: 67.8912, loss: 0.5212 +2022-06-18 21:55:12,126 - mmseg - INFO - Iter [89150/160000] lr: 2.728e-05, eta: 5:15:01, time: 0.273, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3543, decode.acc_seg: 71.9817, aux.loss_ce: 0.1635, aux.acc_seg: 70.6863, loss: 0.5178 +2022-06-18 21:55:23,561 - mmseg - INFO - Iter [89200/160000] lr: 2.726e-05, eta: 5:14:34, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3408, decode.acc_seg: 70.0938, aux.loss_ce: 0.1586, aux.acc_seg: 68.8060, loss: 0.4994 +2022-06-18 21:55:34,951 - mmseg - INFO - Iter [89250/160000] lr: 2.724e-05, eta: 5:14:08, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3222, decode.acc_seg: 69.9676, aux.loss_ce: 0.1491, aux.acc_seg: 68.5768, loss: 0.4712 +2022-06-18 21:55:45,881 - mmseg - INFO - Iter [89300/160000] lr: 2.722e-05, eta: 5:13:38, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3479, decode.acc_seg: 71.3796, aux.loss_ce: 0.1600, aux.acc_seg: 70.1929, loss: 0.5079 +2022-06-18 21:55:57,303 - mmseg - INFO - Iter [89350/160000] lr: 2.720e-05, eta: 5:13:12, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3294, decode.acc_seg: 68.5644, aux.loss_ce: 0.1523, aux.acc_seg: 67.2643, loss: 0.4816 +2022-06-18 21:56:08,697 - mmseg - INFO - Iter [89400/160000] lr: 2.718e-05, eta: 5:12:45, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3290, decode.acc_seg: 70.4541, aux.loss_ce: 0.1510, aux.acc_seg: 69.3268, loss: 0.4801 +2022-06-18 21:56:20,055 - mmseg - INFO - Iter [89450/160000] lr: 2.716e-05, eta: 5:12:19, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3266, decode.acc_seg: 71.0461, aux.loss_ce: 0.1508, aux.acc_seg: 69.7900, loss: 0.4774 +2022-06-18 21:56:31,599 - mmseg - INFO - Iter [89500/160000] lr: 2.714e-05, eta: 5:11:54, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3276, decode.acc_seg: 70.4578, aux.loss_ce: 0.1504, aux.acc_seg: 69.2195, loss: 0.4780 +2022-06-18 21:56:42,566 - mmseg - INFO - Iter [89550/160000] lr: 2.712e-05, eta: 5:11:26, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3254, decode.acc_seg: 71.8789, aux.loss_ce: 0.1509, aux.acc_seg: 70.5381, loss: 0.4763 +2022-06-18 21:56:53,796 - mmseg - INFO - Iter [89600/160000] lr: 2.710e-05, eta: 5:10:59, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3216, decode.acc_seg: 71.1393, aux.loss_ce: 0.1473, aux.acc_seg: 70.0062, loss: 0.4689 +2022-06-18 21:57:05,101 - mmseg - INFO - Iter [89650/160000] lr: 2.709e-05, eta: 5:10:33, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3436, decode.acc_seg: 69.4700, aux.loss_ce: 0.1598, aux.acc_seg: 68.3278, loss: 0.5034 +2022-06-18 21:57:16,418 - mmseg - INFO - Iter [89700/160000] lr: 2.707e-05, eta: 5:10:07, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3471, decode.acc_seg: 68.9880, aux.loss_ce: 0.1608, aux.acc_seg: 67.5918, loss: 0.5078 +2022-06-18 21:57:27,856 - mmseg - INFO - Iter [89750/160000] lr: 2.705e-05, eta: 5:09:42, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3383, decode.acc_seg: 71.7208, aux.loss_ce: 0.1579, aux.acc_seg: 70.2473, loss: 0.4961 +2022-06-18 21:57:39,154 - mmseg - INFO - Iter [89800/160000] lr: 2.703e-05, eta: 5:09:16, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3343, decode.acc_seg: 71.9286, aux.loss_ce: 0.1547, aux.acc_seg: 70.4607, loss: 0.4890 +2022-06-18 21:57:50,284 - mmseg - INFO - Iter [89850/160000] lr: 2.701e-05, eta: 5:08:49, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3596, decode.acc_seg: 70.2098, aux.loss_ce: 0.1656, aux.acc_seg: 68.8068, loss: 0.5252 +2022-06-18 21:58:01,648 - mmseg - INFO - Iter [89900/160000] lr: 2.699e-05, eta: 5:08:24, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3405, decode.acc_seg: 70.9982, aux.loss_ce: 0.1597, aux.acc_seg: 69.7115, loss: 0.5002 +2022-06-18 21:58:12,988 - mmseg - INFO - Iter [89950/160000] lr: 2.697e-05, eta: 5:07:59, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3569, decode.acc_seg: 69.1175, aux.loss_ce: 0.1644, aux.acc_seg: 67.9679, loss: 0.5213 +2022-06-18 21:58:24,470 - mmseg - INFO - Saving checkpoint at 90000 iterations +2022-06-18 21:58:25,576 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 21:58:25,576 - mmseg - INFO - Iter [90000/160000] lr: 2.695e-05, eta: 5:07:42, time: 0.252, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3381, decode.acc_seg: 70.0323, aux.loss_ce: 0.1550, aux.acc_seg: 68.7447, loss: 0.4931 +2022-06-18 21:58:36,606 - mmseg - INFO - Iter [90050/160000] lr: 2.693e-05, eta: 5:07:15, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3386, decode.acc_seg: 68.9661, aux.loss_ce: 0.1563, aux.acc_seg: 67.7111, loss: 0.4949 +2022-06-18 21:58:48,019 - mmseg - INFO - Iter [90100/160000] lr: 2.691e-05, eta: 5:06:51, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3491, decode.acc_seg: 69.0834, aux.loss_ce: 0.1591, aux.acc_seg: 67.9070, loss: 0.5082 +2022-06-18 21:58:59,362 - mmseg - INFO - Iter [90150/160000] lr: 2.689e-05, eta: 5:06:26, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3274, decode.acc_seg: 69.5659, aux.loss_ce: 0.1521, aux.acc_seg: 68.3867, loss: 0.4795 +2022-06-18 21:59:10,623 - mmseg - INFO - Iter [90200/160000] lr: 2.687e-05, eta: 5:06:01, time: 0.227, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3626, decode.acc_seg: 68.5125, aux.loss_ce: 0.1683, aux.acc_seg: 66.9868, loss: 0.5309 +2022-06-18 21:59:21,824 - mmseg - INFO - Iter [90250/160000] lr: 2.685e-05, eta: 5:05:36, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3383, decode.acc_seg: 70.1936, aux.loss_ce: 0.1566, aux.acc_seg: 68.7218, loss: 0.4949 +2022-06-18 21:59:32,970 - mmseg - INFO - Iter [90300/160000] lr: 2.684e-05, eta: 5:05:11, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3478, decode.acc_seg: 70.0084, aux.loss_ce: 0.1615, aux.acc_seg: 68.7005, loss: 0.5093 +2022-06-18 21:59:44,178 - mmseg - INFO - Iter [90350/160000] lr: 2.682e-05, eta: 5:04:46, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3274, decode.acc_seg: 68.1414, aux.loss_ce: 0.1499, aux.acc_seg: 66.9404, loss: 0.4773 +2022-06-18 21:59:57,767 - mmseg - INFO - Iter [90400/160000] lr: 2.680e-05, eta: 5:04:35, time: 0.272, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3285, decode.acc_seg: 70.0438, aux.loss_ce: 0.1509, aux.acc_seg: 68.8867, loss: 0.4794 +2022-06-18 22:00:09,280 - mmseg - INFO - Iter [90450/160000] lr: 2.678e-05, eta: 5:04:12, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3270, decode.acc_seg: 70.9461, aux.loss_ce: 0.1535, aux.acc_seg: 69.6460, loss: 0.4805 +2022-06-18 22:00:20,589 - mmseg - INFO - Iter [90500/160000] lr: 2.676e-05, eta: 5:03:48, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3270, decode.acc_seg: 69.5865, aux.loss_ce: 0.1513, aux.acc_seg: 68.2933, loss: 0.4783 +2022-06-18 22:00:32,031 - mmseg - INFO - Iter [90550/160000] lr: 2.674e-05, eta: 5:03:25, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3171, decode.acc_seg: 69.8867, aux.loss_ce: 0.1489, aux.acc_seg: 68.5413, loss: 0.4661 +2022-06-18 22:00:43,149 - mmseg - INFO - Iter [90600/160000] lr: 2.672e-05, eta: 5:03:00, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3131, decode.acc_seg: 71.3837, aux.loss_ce: 0.1464, aux.acc_seg: 70.0499, loss: 0.4596 +2022-06-18 22:00:54,439 - mmseg - INFO - Iter [90650/160000] lr: 2.670e-05, eta: 5:02:36, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3499, decode.acc_seg: 68.8515, aux.loss_ce: 0.1629, aux.acc_seg: 67.5862, loss: 0.5129 +2022-06-18 22:01:05,839 - mmseg - INFO - Iter [90700/160000] lr: 2.668e-05, eta: 5:02:13, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3738, decode.acc_seg: 69.2006, aux.loss_ce: 0.1713, aux.acc_seg: 68.0596, loss: 0.5451 +2022-06-18 22:01:17,384 - mmseg - INFO - Iter [90750/160000] lr: 2.666e-05, eta: 5:01:51, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3274, decode.acc_seg: 70.4573, aux.loss_ce: 0.1518, aux.acc_seg: 69.1696, loss: 0.4792 +2022-06-18 22:01:28,795 - mmseg - INFO - Iter [90800/160000] lr: 2.664e-05, eta: 5:01:28, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3295, decode.acc_seg: 71.0234, aux.loss_ce: 0.1520, aux.acc_seg: 69.8550, loss: 0.4815 +2022-06-18 22:01:40,073 - mmseg - INFO - Iter [90850/160000] lr: 2.662e-05, eta: 5:01:05, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3194, decode.acc_seg: 69.9653, aux.loss_ce: 0.1504, aux.acc_seg: 68.5547, loss: 0.4698 +2022-06-18 22:01:51,163 - mmseg - INFO - Iter [90900/160000] lr: 2.660e-05, eta: 5:00:40, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3638, decode.acc_seg: 68.9058, aux.loss_ce: 0.1698, aux.acc_seg: 67.5663, loss: 0.5336 +2022-06-18 22:02:02,562 - mmseg - INFO - Iter [90950/160000] lr: 2.659e-05, eta: 5:00:18, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3535, decode.acc_seg: 69.7953, aux.loss_ce: 0.1644, aux.acc_seg: 68.5213, loss: 0.5179 +2022-06-18 22:02:13,785 - mmseg - INFO - Saving checkpoint at 91000 iterations +2022-06-18 22:02:14,847 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:02:14,847 - mmseg - INFO - Iter [91000/160000] lr: 2.657e-05, eta: 5:00:00, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3204, decode.acc_seg: 69.5828, aux.loss_ce: 0.1483, aux.acc_seg: 68.3216, loss: 0.4687 +2022-06-18 22:02:26,412 - mmseg - INFO - Iter [91050/160000] lr: 2.655e-05, eta: 4:59:39, time: 0.231, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3497, decode.acc_seg: 70.2983, aux.loss_ce: 0.1622, aux.acc_seg: 68.9667, loss: 0.5119 +2022-06-18 22:02:37,561 - mmseg - INFO - Iter [91100/160000] lr: 2.653e-05, eta: 4:59:15, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3381, decode.acc_seg: 70.2582, aux.loss_ce: 0.1562, aux.acc_seg: 68.8977, loss: 0.4943 +2022-06-18 22:02:48,749 - mmseg - INFO - Iter [91150/160000] lr: 2.651e-05, eta: 4:58:51, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3388, decode.acc_seg: 68.9354, aux.loss_ce: 0.1569, aux.acc_seg: 67.8514, loss: 0.4957 +2022-06-18 22:03:00,096 - mmseg - INFO - Iter [91200/160000] lr: 2.649e-05, eta: 4:58:29, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3427, decode.acc_seg: 70.0466, aux.loss_ce: 0.1582, aux.acc_seg: 68.7339, loss: 0.5009 +2022-06-18 22:03:11,158 - mmseg - INFO - Iter [91250/160000] lr: 2.647e-05, eta: 4:58:05, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3491, decode.acc_seg: 70.4750, aux.loss_ce: 0.1600, aux.acc_seg: 69.3369, loss: 0.5090 +2022-06-18 22:03:22,457 - mmseg - INFO - Iter [91300/160000] lr: 2.645e-05, eta: 4:57:42, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3474, decode.acc_seg: 70.7093, aux.loss_ce: 0.1603, aux.acc_seg: 69.2792, loss: 0.5077 +2022-06-18 22:03:33,550 - mmseg - INFO - Iter [91350/160000] lr: 2.643e-05, eta: 4:57:19, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3295, decode.acc_seg: 69.4587, aux.loss_ce: 0.1505, aux.acc_seg: 68.3162, loss: 0.4800 +2022-06-18 22:03:45,029 - mmseg - INFO - Iter [91400/160000] lr: 2.641e-05, eta: 4:56:57, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3486, decode.acc_seg: 70.9145, aux.loss_ce: 0.1620, aux.acc_seg: 69.2879, loss: 0.5107 +2022-06-18 22:03:56,376 - mmseg - INFO - Iter [91450/160000] lr: 2.639e-05, eta: 4:56:35, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3445, decode.acc_seg: 70.2713, aux.loss_ce: 0.1601, aux.acc_seg: 68.8821, loss: 0.5046 +2022-06-18 22:04:07,898 - mmseg - INFO - Iter [91500/160000] lr: 2.637e-05, eta: 4:56:14, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3454, decode.acc_seg: 68.9625, aux.loss_ce: 0.1604, aux.acc_seg: 67.6922, loss: 0.5058 +2022-06-18 22:04:19,038 - mmseg - INFO - Iter [91550/160000] lr: 2.635e-05, eta: 4:55:51, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3409, decode.acc_seg: 69.9950, aux.loss_ce: 0.1575, aux.acc_seg: 68.7471, loss: 0.4983 +2022-06-18 22:04:30,186 - mmseg - INFO - Iter [91600/160000] lr: 2.633e-05, eta: 4:55:28, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3257, decode.acc_seg: 69.2541, aux.loss_ce: 0.1521, aux.acc_seg: 67.9348, loss: 0.4777 +2022-06-18 22:04:44,093 - mmseg - INFO - Iter [91650/160000] lr: 2.632e-05, eta: 4:55:21, time: 0.279, data_time: 0.052, memory: 36327, decode.loss_ce: 0.3447, decode.acc_seg: 70.8562, aux.loss_ce: 0.1587, aux.acc_seg: 69.5099, loss: 0.5034 +2022-06-18 22:04:55,747 - mmseg - INFO - Iter [91700/160000] lr: 2.630e-05, eta: 4:55:01, time: 0.233, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3451, decode.acc_seg: 70.8399, aux.loss_ce: 0.1594, aux.acc_seg: 69.4635, loss: 0.5045 +2022-06-18 22:05:07,131 - mmseg - INFO - Iter [91750/160000] lr: 2.628e-05, eta: 4:54:39, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3582, decode.acc_seg: 70.3316, aux.loss_ce: 0.1630, aux.acc_seg: 69.1620, loss: 0.5212 +2022-06-18 22:05:18,502 - mmseg - INFO - Iter [91800/160000] lr: 2.626e-05, eta: 4:54:18, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3513, decode.acc_seg: 70.1039, aux.loss_ce: 0.1634, aux.acc_seg: 68.6205, loss: 0.5147 +2022-06-18 22:05:29,842 - mmseg - INFO - Iter [91850/160000] lr: 2.624e-05, eta: 4:53:56, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3589, decode.acc_seg: 68.7500, aux.loss_ce: 0.1658, aux.acc_seg: 67.5086, loss: 0.5247 +2022-06-18 22:05:41,166 - mmseg - INFO - Iter [91900/160000] lr: 2.622e-05, eta: 4:53:35, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3416, decode.acc_seg: 70.0398, aux.loss_ce: 0.1590, aux.acc_seg: 68.6817, loss: 0.5005 +2022-06-18 22:05:52,627 - mmseg - INFO - Iter [91950/160000] lr: 2.620e-05, eta: 4:53:14, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3526, decode.acc_seg: 69.4307, aux.loss_ce: 0.1596, aux.acc_seg: 68.0836, loss: 0.5122 +2022-06-18 22:06:04,076 - mmseg - INFO - Saving checkpoint at 92000 iterations +2022-06-18 22:06:05,069 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:06:05,069 - mmseg - INFO - Iter [92000/160000] lr: 2.618e-05, eta: 4:52:59, time: 0.249, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3528, decode.acc_seg: 70.6474, aux.loss_ce: 0.1595, aux.acc_seg: 69.5392, loss: 0.5123 +2022-06-18 22:06:16,246 - mmseg - INFO - Iter [92050/160000] lr: 2.616e-05, eta: 4:52:37, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3620, decode.acc_seg: 70.8446, aux.loss_ce: 0.1675, aux.acc_seg: 69.3594, loss: 0.5294 +2022-06-18 22:06:27,629 - mmseg - INFO - Iter [92100/160000] lr: 2.614e-05, eta: 4:52:16, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3509, decode.acc_seg: 70.5433, aux.loss_ce: 0.1607, aux.acc_seg: 69.4200, loss: 0.5117 +2022-06-18 22:06:38,761 - mmseg - INFO - Iter [92150/160000] lr: 2.612e-05, eta: 4:51:54, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3447, decode.acc_seg: 70.2633, aux.loss_ce: 0.1585, aux.acc_seg: 69.0379, loss: 0.5033 +2022-06-18 22:06:49,928 - mmseg - INFO - Iter [92200/160000] lr: 2.610e-05, eta: 4:51:32, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3226, decode.acc_seg: 70.3054, aux.loss_ce: 0.1500, aux.acc_seg: 69.1406, loss: 0.4726 +2022-06-18 22:07:01,355 - mmseg - INFO - Iter [92250/160000] lr: 2.608e-05, eta: 4:51:11, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3470, decode.acc_seg: 70.8289, aux.loss_ce: 0.1615, aux.acc_seg: 69.3295, loss: 0.5085 +2022-06-18 22:07:12,826 - mmseg - INFO - Iter [92300/160000] lr: 2.607e-05, eta: 4:50:51, time: 0.230, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3480, decode.acc_seg: 70.4161, aux.loss_ce: 0.1602, aux.acc_seg: 69.0621, loss: 0.5081 +2022-06-18 22:07:24,285 - mmseg - INFO - Iter [92350/160000] lr: 2.605e-05, eta: 4:50:31, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3816, decode.acc_seg: 69.9494, aux.loss_ce: 0.1715, aux.acc_seg: 68.7549, loss: 0.5531 +2022-06-18 22:07:35,543 - mmseg - INFO - Iter [92400/160000] lr: 2.603e-05, eta: 4:50:10, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3634, decode.acc_seg: 67.6089, aux.loss_ce: 0.1677, aux.acc_seg: 66.2496, loss: 0.5311 +2022-06-18 22:07:46,866 - mmseg - INFO - Iter [92450/160000] lr: 2.601e-05, eta: 4:49:50, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3506, decode.acc_seg: 67.8111, aux.loss_ce: 0.1621, aux.acc_seg: 66.4280, loss: 0.5127 +2022-06-18 22:07:58,188 - mmseg - INFO - Iter [92500/160000] lr: 2.599e-05, eta: 4:49:29, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3195, decode.acc_seg: 70.5525, aux.loss_ce: 0.1487, aux.acc_seg: 69.3456, loss: 0.4682 +2022-06-18 22:08:09,264 - mmseg - INFO - Iter [92550/160000] lr: 2.597e-05, eta: 4:49:07, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3440, decode.acc_seg: 70.8052, aux.loss_ce: 0.1584, aux.acc_seg: 69.5831, loss: 0.5024 +2022-06-18 22:08:20,587 - mmseg - INFO - Iter [92600/160000] lr: 2.595e-05, eta: 4:48:47, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3363, decode.acc_seg: 69.3397, aux.loss_ce: 0.1567, aux.acc_seg: 67.8953, loss: 0.4930 +2022-06-18 22:08:31,883 - mmseg - INFO - Iter [92650/160000] lr: 2.593e-05, eta: 4:48:26, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3429, decode.acc_seg: 69.3085, aux.loss_ce: 0.1596, aux.acc_seg: 67.8250, loss: 0.5025 +2022-06-18 22:08:43,023 - mmseg - INFO - Iter [92700/160000] lr: 2.591e-05, eta: 4:48:05, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3457, decode.acc_seg: 71.1058, aux.loss_ce: 0.1622, aux.acc_seg: 69.7485, loss: 0.5079 +2022-06-18 22:08:54,144 - mmseg - INFO - Iter [92750/160000] lr: 2.589e-05, eta: 4:47:44, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3681, decode.acc_seg: 70.9366, aux.loss_ce: 0.1679, aux.acc_seg: 69.7493, loss: 0.5360 +2022-06-18 22:09:05,425 - mmseg - INFO - Iter [92800/160000] lr: 2.587e-05, eta: 4:47:23, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3422, decode.acc_seg: 69.3714, aux.loss_ce: 0.1585, aux.acc_seg: 68.0374, loss: 0.5007 +2022-06-18 22:09:16,719 - mmseg - INFO - Iter [92850/160000] lr: 2.585e-05, eta: 4:47:03, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3420, decode.acc_seg: 69.1653, aux.loss_ce: 0.1584, aux.acc_seg: 67.7513, loss: 0.5004 +2022-06-18 22:09:30,108 - mmseg - INFO - Iter [92900/160000] lr: 2.583e-05, eta: 4:46:53, time: 0.268, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3604, decode.acc_seg: 69.1338, aux.loss_ce: 0.1649, aux.acc_seg: 67.8120, loss: 0.5252 +2022-06-18 22:09:41,511 - mmseg - INFO - Iter [92950/160000] lr: 2.582e-05, eta: 4:46:33, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3355, decode.acc_seg: 69.4439, aux.loss_ce: 0.1560, aux.acc_seg: 67.8010, loss: 0.4915 +2022-06-18 22:09:52,740 - mmseg - INFO - Saving checkpoint at 93000 iterations +2022-06-18 22:09:53,741 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:09:53,741 - mmseg - INFO - Iter [93000/160000] lr: 2.580e-05, eta: 4:46:18, time: 0.245, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3440, decode.acc_seg: 69.1651, aux.loss_ce: 0.1582, aux.acc_seg: 67.9153, loss: 0.5022 +2022-06-18 22:10:04,920 - mmseg - INFO - Iter [93050/160000] lr: 2.578e-05, eta: 4:45:57, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3379, decode.acc_seg: 69.5008, aux.loss_ce: 0.1559, aux.acc_seg: 68.1955, loss: 0.4938 +2022-06-18 22:10:16,186 - mmseg - INFO - Iter [93100/160000] lr: 2.576e-05, eta: 4:45:37, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3491, decode.acc_seg: 70.4293, aux.loss_ce: 0.1627, aux.acc_seg: 69.0158, loss: 0.5118 +2022-06-18 22:10:27,373 - mmseg - INFO - Iter [93150/160000] lr: 2.574e-05, eta: 4:45:16, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3406, decode.acc_seg: 69.5023, aux.loss_ce: 0.1595, aux.acc_seg: 68.2130, loss: 0.5002 +2022-06-18 22:10:38,823 - mmseg - INFO - Iter [93200/160000] lr: 2.572e-05, eta: 4:44:57, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3404, decode.acc_seg: 69.2662, aux.loss_ce: 0.1574, aux.acc_seg: 68.1567, loss: 0.4979 +2022-06-18 22:10:50,439 - mmseg - INFO - Iter [93250/160000] lr: 2.570e-05, eta: 4:44:39, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3372, decode.acc_seg: 69.6027, aux.loss_ce: 0.1551, aux.acc_seg: 68.2247, loss: 0.4924 +2022-06-18 22:11:01,483 - mmseg - INFO - Iter [93300/160000] lr: 2.568e-05, eta: 4:44:18, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3271, decode.acc_seg: 70.7065, aux.loss_ce: 0.1526, aux.acc_seg: 69.2995, loss: 0.4797 +2022-06-18 22:11:12,949 - mmseg - INFO - Iter [93350/160000] lr: 2.566e-05, eta: 4:43:59, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3352, decode.acc_seg: 70.2288, aux.loss_ce: 0.1573, aux.acc_seg: 68.8901, loss: 0.4925 +2022-06-18 22:11:24,314 - mmseg - INFO - Iter [93400/160000] lr: 2.564e-05, eta: 4:43:40, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3208, decode.acc_seg: 71.0261, aux.loss_ce: 0.1484, aux.acc_seg: 69.7564, loss: 0.4692 +2022-06-18 22:11:35,922 - mmseg - INFO - Iter [93450/160000] lr: 2.562e-05, eta: 4:43:21, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3263, decode.acc_seg: 69.9202, aux.loss_ce: 0.1510, aux.acc_seg: 68.5943, loss: 0.4773 +2022-06-18 22:11:47,277 - mmseg - INFO - Iter [93500/160000] lr: 2.560e-05, eta: 4:43:02, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3157, decode.acc_seg: 70.1887, aux.loss_ce: 0.1475, aux.acc_seg: 68.9869, loss: 0.4632 +2022-06-18 22:11:58,735 - mmseg - INFO - Iter [93550/160000] lr: 2.558e-05, eta: 4:42:43, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3255, decode.acc_seg: 71.0087, aux.loss_ce: 0.1525, aux.acc_seg: 69.6927, loss: 0.4780 +2022-06-18 22:12:09,807 - mmseg - INFO - Iter [93600/160000] lr: 2.556e-05, eta: 4:42:23, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3408, decode.acc_seg: 71.0482, aux.loss_ce: 0.1570, aux.acc_seg: 69.8328, loss: 0.4979 +2022-06-18 22:12:20,963 - mmseg - INFO - Iter [93650/160000] lr: 2.555e-05, eta: 4:42:03, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3348, decode.acc_seg: 70.1451, aux.loss_ce: 0.1581, aux.acc_seg: 68.5573, loss: 0.4929 +2022-06-18 22:12:32,110 - mmseg - INFO - Iter [93700/160000] lr: 2.553e-05, eta: 4:41:43, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3255, decode.acc_seg: 70.4061, aux.loss_ce: 0.1493, aux.acc_seg: 69.2926, loss: 0.4748 +2022-06-18 22:12:43,345 - mmseg - INFO - Iter [93750/160000] lr: 2.551e-05, eta: 4:41:23, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3337, decode.acc_seg: 71.1953, aux.loss_ce: 0.1536, aux.acc_seg: 69.9122, loss: 0.4873 +2022-06-18 22:12:54,527 - mmseg - INFO - Iter [93800/160000] lr: 2.549e-05, eta: 4:41:04, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3364, decode.acc_seg: 70.6770, aux.loss_ce: 0.1561, aux.acc_seg: 69.2316, loss: 0.4924 +2022-06-18 22:13:05,946 - mmseg - INFO - Iter [93850/160000] lr: 2.547e-05, eta: 4:40:45, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3286, decode.acc_seg: 69.5134, aux.loss_ce: 0.1557, aux.acc_seg: 68.0691, loss: 0.4842 +2022-06-18 22:13:17,169 - mmseg - INFO - Iter [93900/160000] lr: 2.545e-05, eta: 4:40:25, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3127, decode.acc_seg: 70.0911, aux.loss_ce: 0.1462, aux.acc_seg: 68.7032, loss: 0.4589 +2022-06-18 22:13:28,570 - mmseg - INFO - Iter [93950/160000] lr: 2.543e-05, eta: 4:40:07, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3373, decode.acc_seg: 69.8373, aux.loss_ce: 0.1569, aux.acc_seg: 68.3727, loss: 0.4942 +2022-06-18 22:13:39,786 - mmseg - INFO - Saving checkpoint at 94000 iterations +2022-06-18 22:13:40,813 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:13:40,815 - mmseg - INFO - Iter [94000/160000] lr: 2.541e-05, eta: 4:39:52, time: 0.245, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3235, decode.acc_seg: 71.5622, aux.loss_ce: 0.1488, aux.acc_seg: 70.3145, loss: 0.4723 +2022-06-18 22:13:52,103 - mmseg - INFO - Iter [94050/160000] lr: 2.539e-05, eta: 4:39:33, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3543, decode.acc_seg: 69.1841, aux.loss_ce: 0.1632, aux.acc_seg: 67.8824, loss: 0.5175 +2022-06-18 22:14:03,396 - mmseg - INFO - Iter [94100/160000] lr: 2.537e-05, eta: 4:39:14, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3417, decode.acc_seg: 69.3477, aux.loss_ce: 0.1575, aux.acc_seg: 68.0223, loss: 0.4992 +2022-06-18 22:14:14,756 - mmseg - INFO - Iter [94150/160000] lr: 2.535e-05, eta: 4:38:56, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3212, decode.acc_seg: 69.2595, aux.loss_ce: 0.1505, aux.acc_seg: 67.9304, loss: 0.4717 +2022-06-18 22:14:28,115 - mmseg - INFO - Iter [94200/160000] lr: 2.533e-05, eta: 4:38:46, time: 0.267, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3133, decode.acc_seg: 70.6467, aux.loss_ce: 0.1473, aux.acc_seg: 69.4076, loss: 0.4606 +2022-06-18 22:14:39,208 - mmseg - INFO - Iter [94250/160000] lr: 2.531e-05, eta: 4:38:26, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3325, decode.acc_seg: 70.1435, aux.loss_ce: 0.1562, aux.acc_seg: 68.7937, loss: 0.4887 +2022-06-18 22:14:50,424 - mmseg - INFO - Iter [94300/160000] lr: 2.530e-05, eta: 4:38:07, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3147, decode.acc_seg: 69.9281, aux.loss_ce: 0.1468, aux.acc_seg: 68.6516, loss: 0.4615 +2022-06-18 22:15:01,794 - mmseg - INFO - Iter [94350/160000] lr: 2.528e-05, eta: 4:37:49, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3233, decode.acc_seg: 69.5228, aux.loss_ce: 0.1509, aux.acc_seg: 68.2413, loss: 0.4743 +2022-06-18 22:15:13,047 - mmseg - INFO - Iter [94400/160000] lr: 2.526e-05, eta: 4:37:30, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3144, decode.acc_seg: 70.4471, aux.loss_ce: 0.1463, aux.acc_seg: 69.2024, loss: 0.4607 +2022-06-18 22:15:24,197 - mmseg - INFO - Iter [94450/160000] lr: 2.524e-05, eta: 4:37:10, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3356, decode.acc_seg: 70.1368, aux.loss_ce: 0.1575, aux.acc_seg: 68.7085, loss: 0.4932 +2022-06-18 22:15:35,620 - mmseg - INFO - Iter [94500/160000] lr: 2.522e-05, eta: 4:36:52, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3325, decode.acc_seg: 70.4706, aux.loss_ce: 0.1547, aux.acc_seg: 69.0942, loss: 0.4872 +2022-06-18 22:15:47,177 - mmseg - INFO - Iter [94550/160000] lr: 2.520e-05, eta: 4:36:35, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3120, decode.acc_seg: 70.2847, aux.loss_ce: 0.1460, aux.acc_seg: 68.9073, loss: 0.4580 +2022-06-18 22:15:58,731 - mmseg - INFO - Iter [94600/160000] lr: 2.518e-05, eta: 4:36:18, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3440, decode.acc_seg: 71.4953, aux.loss_ce: 0.1601, aux.acc_seg: 70.0346, loss: 0.5041 +2022-06-18 22:16:09,901 - mmseg - INFO - Iter [94650/160000] lr: 2.516e-05, eta: 4:35:58, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3309, decode.acc_seg: 69.5044, aux.loss_ce: 0.1526, aux.acc_seg: 68.2222, loss: 0.4835 +2022-06-18 22:16:21,391 - mmseg - INFO - Iter [94700/160000] lr: 2.514e-05, eta: 4:35:41, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3297, decode.acc_seg: 69.3417, aux.loss_ce: 0.1531, aux.acc_seg: 68.1658, loss: 0.4828 +2022-06-18 22:16:32,830 - mmseg - INFO - Iter [94750/160000] lr: 2.512e-05, eta: 4:35:23, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3304, decode.acc_seg: 68.7348, aux.loss_ce: 0.1544, aux.acc_seg: 67.4011, loss: 0.4848 +2022-06-18 22:16:43,935 - mmseg - INFO - Iter [94800/160000] lr: 2.510e-05, eta: 4:35:04, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3324, decode.acc_seg: 68.2410, aux.loss_ce: 0.1536, aux.acc_seg: 67.0148, loss: 0.4860 +2022-06-18 22:16:55,375 - mmseg - INFO - Iter [94850/160000] lr: 2.508e-05, eta: 4:34:47, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3147, decode.acc_seg: 69.4723, aux.loss_ce: 0.1465, aux.acc_seg: 68.2140, loss: 0.4612 +2022-06-18 22:17:06,743 - mmseg - INFO - Iter [94900/160000] lr: 2.506e-05, eta: 4:34:29, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3447, decode.acc_seg: 69.4753, aux.loss_ce: 0.1630, aux.acc_seg: 67.9637, loss: 0.5078 +2022-06-18 22:17:17,952 - mmseg - INFO - Iter [94950/160000] lr: 2.505e-05, eta: 4:34:10, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3379, decode.acc_seg: 70.1338, aux.loss_ce: 0.1567, aux.acc_seg: 68.8501, loss: 0.4946 +2022-06-18 22:17:29,378 - mmseg - INFO - Saving checkpoint at 95000 iterations +2022-06-18 22:17:30,364 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:17:30,364 - mmseg - INFO - Iter [95000/160000] lr: 2.503e-05, eta: 4:33:57, time: 0.249, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3300, decode.acc_seg: 70.3083, aux.loss_ce: 0.1524, aux.acc_seg: 68.9052, loss: 0.4824 +2022-06-18 22:17:41,633 - mmseg - INFO - Iter [95050/160000] lr: 2.501e-05, eta: 4:33:38, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3147, decode.acc_seg: 70.1604, aux.loss_ce: 0.1468, aux.acc_seg: 68.7275, loss: 0.4614 +2022-06-18 22:17:52,941 - mmseg - INFO - Iter [95100/160000] lr: 2.499e-05, eta: 4:33:20, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3194, decode.acc_seg: 70.7056, aux.loss_ce: 0.1491, aux.acc_seg: 69.4905, loss: 0.4685 +2022-06-18 22:18:04,300 - mmseg - INFO - Iter [95150/160000] lr: 2.497e-05, eta: 4:33:03, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3308, decode.acc_seg: 71.3553, aux.loss_ce: 0.1554, aux.acc_seg: 69.8954, loss: 0.4862 +2022-06-18 22:18:15,608 - mmseg - INFO - Iter [95200/160000] lr: 2.495e-05, eta: 4:32:45, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3409, decode.acc_seg: 70.6340, aux.loss_ce: 0.1601, aux.acc_seg: 69.1604, loss: 0.5011 +2022-06-18 22:18:26,897 - mmseg - INFO - Iter [95250/160000] lr: 2.493e-05, eta: 4:32:27, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3326, decode.acc_seg: 70.7950, aux.loss_ce: 0.1525, aux.acc_seg: 69.5912, loss: 0.4851 +2022-06-18 22:18:37,924 - mmseg - INFO - Iter [95300/160000] lr: 2.491e-05, eta: 4:32:08, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3396, decode.acc_seg: 69.7454, aux.loss_ce: 0.1562, aux.acc_seg: 68.4722, loss: 0.4958 +2022-06-18 22:18:49,234 - mmseg - INFO - Iter [95350/160000] lr: 2.489e-05, eta: 4:31:50, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3371, decode.acc_seg: 69.8742, aux.loss_ce: 0.1575, aux.acc_seg: 68.5842, loss: 0.4946 +2022-06-18 22:19:00,587 - mmseg - INFO - Iter [95400/160000] lr: 2.487e-05, eta: 4:31:32, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3381, decode.acc_seg: 71.4657, aux.loss_ce: 0.1563, aux.acc_seg: 70.0994, loss: 0.4944 +2022-06-18 22:19:14,414 - mmseg - INFO - Iter [95450/160000] lr: 2.485e-05, eta: 4:31:24, time: 0.277, data_time: 0.050, memory: 36327, decode.loss_ce: 0.3263, decode.acc_seg: 70.9693, aux.loss_ce: 0.1538, aux.acc_seg: 69.5148, loss: 0.4801 +2022-06-18 22:19:26,072 - mmseg - INFO - Iter [95500/160000] lr: 2.483e-05, eta: 4:31:08, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3098, decode.acc_seg: 70.7588, aux.loss_ce: 0.1455, aux.acc_seg: 69.4610, loss: 0.4553 +2022-06-18 22:19:37,405 - mmseg - INFO - Iter [95550/160000] lr: 2.481e-05, eta: 4:30:51, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3394, decode.acc_seg: 70.8997, aux.loss_ce: 0.1557, aux.acc_seg: 69.5921, loss: 0.4951 +2022-06-18 22:19:48,529 - mmseg - INFO - Iter [95600/160000] lr: 2.479e-05, eta: 4:30:32, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3373, decode.acc_seg: 70.4054, aux.loss_ce: 0.1546, aux.acc_seg: 69.2046, loss: 0.4919 +2022-06-18 22:19:59,907 - mmseg - INFO - Iter [95650/160000] lr: 2.478e-05, eta: 4:30:15, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3177, decode.acc_seg: 71.2900, aux.loss_ce: 0.1493, aux.acc_seg: 69.7014, loss: 0.4670 +2022-06-18 22:20:11,392 - mmseg - INFO - Iter [95700/160000] lr: 2.476e-05, eta: 4:29:58, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3334, decode.acc_seg: 69.8963, aux.loss_ce: 0.1568, aux.acc_seg: 68.5145, loss: 0.4903 +2022-06-18 22:20:22,629 - mmseg - INFO - Iter [95750/160000] lr: 2.474e-05, eta: 4:29:40, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3143, decode.acc_seg: 70.0958, aux.loss_ce: 0.1463, aux.acc_seg: 68.6399, loss: 0.4606 +2022-06-18 22:20:34,142 - mmseg - INFO - Iter [95800/160000] lr: 2.472e-05, eta: 4:29:23, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3241, decode.acc_seg: 71.4520, aux.loss_ce: 0.1501, aux.acc_seg: 70.2458, loss: 0.4742 +2022-06-18 22:20:45,431 - mmseg - INFO - Iter [95850/160000] lr: 2.470e-05, eta: 4:29:06, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3260, decode.acc_seg: 69.5465, aux.loss_ce: 0.1524, aux.acc_seg: 68.3468, loss: 0.4784 +2022-06-18 22:20:56,859 - mmseg - INFO - Iter [95900/160000] lr: 2.468e-05, eta: 4:28:49, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3458, decode.acc_seg: 69.6492, aux.loss_ce: 0.1611, aux.acc_seg: 68.2276, loss: 0.5069 +2022-06-18 22:21:08,039 - mmseg - INFO - Iter [95950/160000] lr: 2.466e-05, eta: 4:28:31, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3479, decode.acc_seg: 70.5608, aux.loss_ce: 0.1628, aux.acc_seg: 69.2636, loss: 0.5107 +2022-06-18 22:21:19,418 - mmseg - INFO - Saving checkpoint at 96000 iterations +2022-06-18 22:21:20,497 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:21:20,497 - mmseg - INFO - Iter [96000/160000] lr: 2.464e-05, eta: 4:28:18, time: 0.249, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3570, decode.acc_seg: 70.7833, aux.loss_ce: 0.1663, aux.acc_seg: 69.2920, loss: 0.5233 +2022-06-18 22:21:38,593 - mmseg - INFO - per class results: +2022-06-18 22:21:38,600 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 74.02 | 87.56 | +| building | 80.03 | 91.48 | +| sky | 93.86 | 96.67 | +| floor | 78.16 | 88.75 | +| tree | 71.87 | 88.85 | +| ceiling | 80.19 | 87.19 | +| road | 80.93 | 88.63 | +| bed | 84.31 | 95.42 | +| windowpane | 58.0 | 71.54 | +| grass | 66.76 | 83.01 | +| cabinet | 56.29 | 65.96 | +| sidewalk | 62.49 | 77.62 | +| person | 75.52 | 88.38 | +| earth | 34.67 | 50.83 | +| door | 38.76 | 49.59 | +| table | 51.6 | 64.85 | +| mountain | 53.34 | 70.6 | +| plant | 48.97 | 60.82 | +| curtain | 69.63 | 83.18 | +| chair | 49.15 | 69.43 | +| car | 79.07 | 90.13 | +| water | 52.13 | 64.56 | +| painting | 64.69 | 79.36 | +| sofa | 58.12 | 71.61 | +| shelf | 38.06 | 60.73 | +| house | 42.29 | 54.43 | +| sea | 56.67 | 83.89 | +| mirror | 59.86 | 73.66 | +| rug | 62.23 | 67.85 | +| field | 33.84 | 45.37 | +| armchair | 35.26 | 50.13 | +| seat | 60.24 | 71.84 | +| fence | 38.1 | 57.76 | +| desk | 42.92 | 62.89 | +| rock | 36.67 | 53.71 | +| wardrobe | 42.54 | 66.16 | +| lamp | 52.7 | 66.64 | +| bathtub | 67.51 | 76.47 | +| railing | 26.5 | 33.53 | +| cushion | 49.88 | 65.43 | +| base | 24.4 | 32.47 | +| box | 18.24 | 28.04 | +| column | 39.23 | 55.73 | +| signboard | 30.09 | 40.28 | +| chest of drawers | 36.38 | 62.05 | +| counter | 34.07 | 44.22 | +| sand | 35.37 | 57.6 | +| sink | 64.29 | 74.15 | +| skyscraper | 67.86 | 80.03 | +| fireplace | 63.88 | 81.65 | +| refrigerator | 63.71 | 77.19 | +| grandstand | 43.17 | 76.14 | +| path | 19.43 | 32.42 | +| stairs | 24.99 | 30.29 | +| runway | 66.85 | 86.58 | +| case | 43.65 | 55.45 | +| pool table | 84.37 | 95.96 | +| pillow | 48.55 | 58.42 | +| screen door | 59.96 | 69.79 | +| stairway | 24.32 | 30.42 | +| river | 7.99 | 15.89 | +| bridge | 25.28 | 30.1 | +| bookcase | 39.23 | 55.15 | +| blind | 40.65 | 55.06 | +| coffee table | 55.2 | 73.02 | +| toilet | 79.21 | 86.83 | +| flower | 29.81 | 38.91 | +| book | 42.61 | 69.29 | +| hill | 14.05 | 19.94 | +| bench | 33.06 | 43.86 | +| countertop | 55.7 | 80.13 | +| stove | 58.96 | 83.2 | +| palm | 49.16 | 69.22 | +| kitchen island | 43.37 | 74.55 | +| computer | 52.26 | 65.62 | +| swivel chair | 42.62 | 60.27 | +| boat | 66.67 | 78.04 | +| bar | 33.92 | 42.35 | +| arcade machine | 44.16 | 47.82 | +| hovel | 36.17 | 46.99 | +| bus | 69.38 | 86.46 | +| towel | 47.45 | 59.46 | +| light | 50.99 | 60.9 | +| truck | 10.7 | 16.82 | +| tower | 17.17 | 28.27 | +| chandelier | 55.67 | 62.88 | +| awning | 17.99 | 21.27 | +| streetlight | 15.86 | 18.67 | +| booth | 70.23 | 77.43 | +| television receiver | 54.01 | 70.3 | +| airplane | 54.39 | 61.33 | +| dirt track | 1.63 | 6.28 | +| apparel | 30.1 | 67.3 | +| pole | 18.33 | 26.74 | +| land | 0.45 | 0.57 | +| bannister | 1.91 | 2.37 | +| escalator | 6.54 | 7.47 | +| ottoman | 31.91 | 48.52 | +| bottle | 7.47 | 8.41 | +| buffet | 48.51 | 70.23 | +| poster | 21.22 | 28.1 | +| stage | 12.0 | 20.7 | +| van | 39.08 | 49.57 | +| ship | 14.99 | 15.38 | +| fountain | 6.13 | 6.64 | +| conveyer belt | 63.73 | 86.77 | +| canopy | 30.64 | 43.04 | +| washer | 65.84 | 75.76 | +| plaything | 16.85 | 27.33 | +| swimming pool | 47.61 | 72.84 | +| stool | 15.24 | 19.04 | +| barrel | 33.97 | 43.4 | +| basket | 21.4 | 25.35 | +| waterfall | 65.54 | 92.27 | +| tent | 93.11 | 98.78 | +| bag | 6.13 | 7.71 | +| minibike | 44.77 | 62.38 | +| cradle | 73.22 | 92.99 | +| oven | 13.07 | 23.35 | +| ball | 41.41 | 47.47 | +| food | 49.97 | 64.34 | +| step | 9.6 | 11.54 | +| tank | 36.31 | 42.77 | +| trade name | 24.63 | 29.22 | +| microwave | 34.3 | 38.31 | +| pot | 33.09 | 37.58 | +| animal | 55.58 | 58.81 | +| bicycle | 41.95 | 65.73 | +| lake | 57.88 | 67.96 | +| dishwasher | 43.6 | 62.47 | +| screen | 65.3 | 91.21 | +| blanket | 5.29 | 6.07 | +| sculpture | 37.64 | 40.97 | +| hood | 51.93 | 65.3 | +| sconce | 27.42 | 31.12 | +| vase | 25.36 | 31.1 | +| traffic light | 22.09 | 36.27 | +| tray | 5.85 | 8.94 | +| ashcan | 29.16 | 39.42 | +| fan | 51.87 | 68.24 | +| pier | 19.31 | 42.27 | +| crt screen | 13.86 | 15.37 | +| plate | 44.46 | 58.1 | +| monitor | 50.13 | 73.25 | +| bulletin board | 28.06 | 41.65 | +| shower | 0.0 | 0.0 | +| radiator | 46.53 | 55.09 | +| glass | 3.9 | 4.09 | +| clock | 12.05 | 13.4 | +| flag | 27.24 | 28.95 | ++---------------------+-------+-------+ +2022-06-18 22:21:38,600 - mmseg - INFO - Summary: +2022-06-18 22:21:38,600 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 80.44 | 42.28 | 54.21 | ++-------+-------+-------+ +2022-06-18 22:21:38,601 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_80000.pth was removed +2022-06-18 22:21:39,532 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_96000.pth. +2022-06-18 22:21:39,533 - mmseg - INFO - Best mIoU is 0.4228 at 96000 iter. +2022-06-18 22:21:39,541 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:21:39,541 - mmseg - INFO - Iter(val) [250] aAcc: 0.8044, mIoU: 0.4228, mAcc: 0.5421, IoU.wall: 0.7402, IoU.building: 0.8003, IoU.sky: 0.9386, IoU.floor: 0.7816, IoU.tree: 0.7187, IoU.ceiling: 0.8019, IoU.road: 0.8093, IoU.bed : 0.8431, IoU.windowpane: 0.5800, IoU.grass: 0.6676, IoU.cabinet: 0.5629, IoU.sidewalk: 0.6249, IoU.person: 0.7552, IoU.earth: 0.3467, IoU.door: 0.3876, IoU.table: 0.5160, IoU.mountain: 0.5334, IoU.plant: 0.4897, IoU.curtain: 0.6963, IoU.chair: 0.4915, IoU.car: 0.7907, IoU.water: 0.5213, IoU.painting: 0.6469, IoU.sofa: 0.5812, IoU.shelf: 0.3806, IoU.house: 0.4229, IoU.sea: 0.5667, IoU.mirror: 0.5986, IoU.rug: 0.6223, IoU.field: 0.3384, IoU.armchair: 0.3526, IoU.seat: 0.6024, IoU.fence: 0.3810, IoU.desk: 0.4292, IoU.rock: 0.3667, IoU.wardrobe: 0.4254, IoU.lamp: 0.5270, IoU.bathtub: 0.6751, IoU.railing: 0.2650, IoU.cushion: 0.4988, IoU.base: 0.2440, IoU.box: 0.1824, IoU.column: 0.3923, IoU.signboard: 0.3009, IoU.chest of drawers: 0.3638, IoU.counter: 0.3407, IoU.sand: 0.3537, IoU.sink: 0.6429, IoU.skyscraper: 0.6786, IoU.fireplace: 0.6388, IoU.refrigerator: 0.6371, IoU.grandstand: 0.4317, IoU.path: 0.1943, IoU.stairs: 0.2499, IoU.runway: 0.6685, IoU.case: 0.4365, IoU.pool table: 0.8437, IoU.pillow: 0.4855, IoU.screen door: 0.5996, IoU.stairway: 0.2432, IoU.river: 0.0799, IoU.bridge: 0.2528, IoU.bookcase: 0.3923, IoU.blind: 0.4065, IoU.coffee table: 0.5520, IoU.toilet: 0.7921, IoU.flower: 0.2981, IoU.book: 0.4261, IoU.hill: 0.1405, IoU.bench: 0.3306, IoU.countertop: 0.5570, IoU.stove: 0.5896, IoU.palm: 0.4916, IoU.kitchen island: 0.4337, IoU.computer: 0.5226, IoU.swivel chair: 0.4262, IoU.boat: 0.6667, IoU.bar: 0.3392, IoU.arcade machine: 0.4416, IoU.hovel: 0.3617, IoU.bus: 0.6938, IoU.towel: 0.4745, IoU.light: 0.5099, IoU.truck: 0.1070, IoU.tower: 0.1717, IoU.chandelier: 0.5567, IoU.awning: 0.1799, IoU.streetlight: 0.1586, IoU.booth: 0.7023, IoU.television receiver: 0.5401, IoU.airplane: 0.5439, IoU.dirt track: 0.0163, IoU.apparel: 0.3010, IoU.pole: 0.1833, IoU.land: 0.0045, IoU.bannister: 0.0191, IoU.escalator: 0.0654, IoU.ottoman: 0.3191, IoU.bottle: 0.0747, IoU.buffet: 0.4851, IoU.poster: 0.2122, IoU.stage: 0.1200, IoU.van: 0.3908, IoU.ship: 0.1499, IoU.fountain: 0.0613, IoU.conveyer belt: 0.6373, IoU.canopy: 0.3064, IoU.washer: 0.6584, IoU.plaything: 0.1685, IoU.swimming pool: 0.4761, IoU.stool: 0.1524, IoU.barrel: 0.3397, IoU.basket: 0.2140, IoU.waterfall: 0.6554, IoU.tent: 0.9311, IoU.bag: 0.0613, IoU.minibike: 0.4477, IoU.cradle: 0.7322, IoU.oven: 0.1307, IoU.ball: 0.4141, IoU.food: 0.4997, IoU.step: 0.0960, IoU.tank: 0.3631, IoU.trade name: 0.2463, IoU.microwave: 0.3430, IoU.pot: 0.3309, IoU.animal: 0.5558, IoU.bicycle: 0.4195, IoU.lake: 0.5788, IoU.dishwasher: 0.4360, IoU.screen: 0.6530, IoU.blanket: 0.0529, IoU.sculpture: 0.3764, IoU.hood: 0.5193, IoU.sconce: 0.2742, IoU.vase: 0.2536, IoU.traffic light: 0.2209, IoU.tray: 0.0585, IoU.ashcan: 0.2916, IoU.fan: 0.5187, IoU.pier: 0.1931, IoU.crt screen: 0.1386, IoU.plate: 0.4446, IoU.monitor: 0.5013, IoU.bulletin board: 0.2806, IoU.shower: 0.0000, IoU.radiator: 0.4653, IoU.glass: 0.0390, IoU.clock: 0.1205, IoU.flag: 0.2724, Acc.wall: 0.8756, Acc.building: 0.9148, Acc.sky: 0.9667, Acc.floor: 0.8875, Acc.tree: 0.8885, Acc.ceiling: 0.8719, Acc.road: 0.8863, Acc.bed : 0.9542, Acc.windowpane: 0.7154, Acc.grass: 0.8301, Acc.cabinet: 0.6596, Acc.sidewalk: 0.7762, Acc.person: 0.8838, Acc.earth: 0.5083, Acc.door: 0.4959, Acc.table: 0.6485, Acc.mountain: 0.7060, Acc.plant: 0.6082, Acc.curtain: 0.8318, Acc.chair: 0.6943, Acc.car: 0.9013, Acc.water: 0.6456, Acc.painting: 0.7936, Acc.sofa: 0.7161, Acc.shelf: 0.6073, Acc.house: 0.5443, Acc.sea: 0.8389, Acc.mirror: 0.7366, Acc.rug: 0.6785, Acc.field: 0.4537, Acc.armchair: 0.5013, Acc.seat: 0.7184, Acc.fence: 0.5776, Acc.desk: 0.6289, Acc.rock: 0.5371, Acc.wardrobe: 0.6616, Acc.lamp: 0.6664, Acc.bathtub: 0.7647, Acc.railing: 0.3353, Acc.cushion: 0.6543, Acc.base: 0.3247, Acc.box: 0.2804, Acc.column: 0.5573, Acc.signboard: 0.4028, Acc.chest of drawers: 0.6205, Acc.counter: 0.4422, Acc.sand: 0.5760, Acc.sink: 0.7415, Acc.skyscraper: 0.8003, Acc.fireplace: 0.8165, Acc.refrigerator: 0.7719, Acc.grandstand: 0.7614, Acc.path: 0.3242, Acc.stairs: 0.3029, Acc.runway: 0.8658, Acc.case: 0.5545, Acc.pool table: 0.9596, Acc.pillow: 0.5842, Acc.screen door: 0.6979, Acc.stairway: 0.3042, Acc.river: 0.1589, Acc.bridge: 0.3010, Acc.bookcase: 0.5515, Acc.blind: 0.5506, Acc.coffee table: 0.7302, Acc.toilet: 0.8683, Acc.flower: 0.3891, Acc.book: 0.6929, Acc.hill: 0.1994, Acc.bench: 0.4386, Acc.countertop: 0.8013, Acc.stove: 0.8320, Acc.palm: 0.6922, Acc.kitchen island: 0.7455, Acc.computer: 0.6562, Acc.swivel chair: 0.6027, Acc.boat: 0.7804, Acc.bar: 0.4235, Acc.arcade machine: 0.4782, Acc.hovel: 0.4699, Acc.bus: 0.8646, Acc.towel: 0.5946, Acc.light: 0.6090, Acc.truck: 0.1682, Acc.tower: 0.2827, Acc.chandelier: 0.6288, Acc.awning: 0.2127, Acc.streetlight: 0.1867, Acc.booth: 0.7743, Acc.television receiver: 0.7030, Acc.airplane: 0.6133, Acc.dirt track: 0.0628, Acc.apparel: 0.6730, Acc.pole: 0.2674, Acc.land: 0.0057, Acc.bannister: 0.0237, Acc.escalator: 0.0747, Acc.ottoman: 0.4852, Acc.bottle: 0.0841, Acc.buffet: 0.7023, Acc.poster: 0.2810, Acc.stage: 0.2070, Acc.van: 0.4957, Acc.ship: 0.1538, Acc.fountain: 0.0664, Acc.conveyer belt: 0.8677, Acc.canopy: 0.4304, Acc.washer: 0.7576, Acc.plaything: 0.2733, Acc.swimming pool: 0.7284, Acc.stool: 0.1904, Acc.barrel: 0.4340, Acc.basket: 0.2535, Acc.waterfall: 0.9227, Acc.tent: 0.9878, Acc.bag: 0.0771, Acc.minibike: 0.6238, Acc.cradle: 0.9299, Acc.oven: 0.2335, Acc.ball: 0.4747, Acc.food: 0.6434, Acc.step: 0.1154, Acc.tank: 0.4277, Acc.trade name: 0.2922, Acc.microwave: 0.3831, Acc.pot: 0.3758, Acc.animal: 0.5881, Acc.bicycle: 0.6573, Acc.lake: 0.6796, Acc.dishwasher: 0.6247, Acc.screen: 0.9121, Acc.blanket: 0.0607, Acc.sculpture: 0.4097, Acc.hood: 0.6530, Acc.sconce: 0.3112, Acc.vase: 0.3110, Acc.traffic light: 0.3627, Acc.tray: 0.0894, Acc.ashcan: 0.3942, Acc.fan: 0.6824, Acc.pier: 0.4227, Acc.crt screen: 0.1537, Acc.plate: 0.5810, Acc.monitor: 0.7325, Acc.bulletin board: 0.4165, Acc.shower: 0.0000, Acc.radiator: 0.5509, Acc.glass: 0.0409, Acc.clock: 0.1340, Acc.flag: 0.2895 +2022-06-18 22:21:50,959 - mmseg - INFO - Iter [96050/160000] lr: 2.462e-05, eta: 4:29:12, time: 0.608, data_time: 0.385, memory: 36327, decode.loss_ce: 0.3244, decode.acc_seg: 71.3191, aux.loss_ce: 0.1523, aux.acc_seg: 69.9636, loss: 0.4768 +2022-06-18 22:22:02,144 - mmseg - INFO - Iter [96100/160000] lr: 2.460e-05, eta: 4:28:54, time: 0.224, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3200, decode.acc_seg: 70.1843, aux.loss_ce: 0.1494, aux.acc_seg: 68.7377, loss: 0.4694 +2022-06-18 22:22:13,265 - mmseg - INFO - Iter [96150/160000] lr: 2.458e-05, eta: 4:28:36, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3117, decode.acc_seg: 71.1638, aux.loss_ce: 0.1458, aux.acc_seg: 69.9527, loss: 0.4575 +2022-06-18 22:22:24,588 - mmseg - INFO - Iter [96200/160000] lr: 2.456e-05, eta: 4:28:19, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3390, decode.acc_seg: 70.2932, aux.loss_ce: 0.1581, aux.acc_seg: 68.7126, loss: 0.4971 +2022-06-18 22:22:36,068 - mmseg - INFO - Iter [96250/160000] lr: 2.454e-05, eta: 4:28:02, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3279, decode.acc_seg: 70.9932, aux.loss_ce: 0.1544, aux.acc_seg: 69.4512, loss: 0.4824 +2022-06-18 22:22:47,396 - mmseg - INFO - Iter [96300/160000] lr: 2.453e-05, eta: 4:27:45, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3161, decode.acc_seg: 70.0554, aux.loss_ce: 0.1488, aux.acc_seg: 68.7924, loss: 0.4649 +2022-06-18 22:22:58,763 - mmseg - INFO - Iter [96350/160000] lr: 2.451e-05, eta: 4:27:28, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3174, decode.acc_seg: 71.2078, aux.loss_ce: 0.1481, aux.acc_seg: 69.8283, loss: 0.4654 +2022-06-18 22:23:09,883 - mmseg - INFO - Iter [96400/160000] lr: 2.449e-05, eta: 4:27:09, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3380, decode.acc_seg: 68.6581, aux.loss_ce: 0.1575, aux.acc_seg: 67.3589, loss: 0.4955 +2022-06-18 22:23:21,275 - mmseg - INFO - Iter [96450/160000] lr: 2.447e-05, eta: 4:26:52, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3322, decode.acc_seg: 70.7530, aux.loss_ce: 0.1531, aux.acc_seg: 69.5352, loss: 0.4853 +2022-06-18 22:23:32,734 - mmseg - INFO - Iter [96500/160000] lr: 2.445e-05, eta: 4:26:36, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3091, decode.acc_seg: 69.6699, aux.loss_ce: 0.1446, aux.acc_seg: 68.4069, loss: 0.4537 +2022-06-18 22:23:43,775 - mmseg - INFO - Iter [96550/160000] lr: 2.443e-05, eta: 4:26:18, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3281, decode.acc_seg: 70.2486, aux.loss_ce: 0.1524, aux.acc_seg: 68.8702, loss: 0.4805 +2022-06-18 22:23:54,959 - mmseg - INFO - Iter [96600/160000] lr: 2.441e-05, eta: 4:26:00, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3301, decode.acc_seg: 70.3823, aux.loss_ce: 0.1506, aux.acc_seg: 69.1127, loss: 0.4807 +2022-06-18 22:24:06,116 - mmseg - INFO - Iter [96650/160000] lr: 2.439e-05, eta: 4:25:42, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3593, decode.acc_seg: 70.6475, aux.loss_ce: 0.1651, aux.acc_seg: 69.5159, loss: 0.5243 +2022-06-18 22:24:19,697 - mmseg - INFO - Iter [96700/160000] lr: 2.437e-05, eta: 4:25:33, time: 0.272, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3327, decode.acc_seg: 69.0360, aux.loss_ce: 0.1568, aux.acc_seg: 67.4323, loss: 0.4895 +2022-06-18 22:24:30,822 - mmseg - INFO - Iter [96750/160000] lr: 2.435e-05, eta: 4:25:15, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3356, decode.acc_seg: 69.4410, aux.loss_ce: 0.1564, aux.acc_seg: 68.0515, loss: 0.4920 +2022-06-18 22:24:42,262 - mmseg - INFO - Iter [96800/160000] lr: 2.433e-05, eta: 4:24:59, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3226, decode.acc_seg: 70.6640, aux.loss_ce: 0.1501, aux.acc_seg: 69.2532, loss: 0.4727 +2022-06-18 22:24:53,609 - mmseg - INFO - Iter [96850/160000] lr: 2.431e-05, eta: 4:24:42, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3244, decode.acc_seg: 71.3712, aux.loss_ce: 0.1513, aux.acc_seg: 69.9891, loss: 0.4758 +2022-06-18 22:25:04,759 - mmseg - INFO - Iter [96900/160000] lr: 2.429e-05, eta: 4:24:24, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3285, decode.acc_seg: 69.4130, aux.loss_ce: 0.1524, aux.acc_seg: 68.1378, loss: 0.4809 +2022-06-18 22:25:16,129 - mmseg - INFO - Iter [96950/160000] lr: 2.428e-05, eta: 4:24:07, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3311, decode.acc_seg: 70.7383, aux.loss_ce: 0.1523, aux.acc_seg: 69.4468, loss: 0.4834 +2022-06-18 22:25:27,514 - mmseg - INFO - Saving checkpoint at 97000 iterations +2022-06-18 22:25:28,526 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:25:28,526 - mmseg - INFO - Iter [97000/160000] lr: 2.426e-05, eta: 4:23:54, time: 0.248, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3347, decode.acc_seg: 70.7689, aux.loss_ce: 0.1573, aux.acc_seg: 69.2706, loss: 0.4920 +2022-06-18 22:25:39,778 - mmseg - INFO - Iter [97050/160000] lr: 2.424e-05, eta: 4:23:37, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3393, decode.acc_seg: 71.2996, aux.loss_ce: 0.1553, aux.acc_seg: 70.1283, loss: 0.4946 +2022-06-18 22:25:50,949 - mmseg - INFO - Iter [97100/160000] lr: 2.422e-05, eta: 4:23:20, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3217, decode.acc_seg: 71.6882, aux.loss_ce: 0.1500, aux.acc_seg: 70.3265, loss: 0.4717 +2022-06-18 22:26:02,257 - mmseg - INFO - Iter [97150/160000] lr: 2.420e-05, eta: 4:23:03, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3195, decode.acc_seg: 69.1820, aux.loss_ce: 0.1506, aux.acc_seg: 67.8148, loss: 0.4701 +2022-06-18 22:26:13,615 - mmseg - INFO - Iter [97200/160000] lr: 2.418e-05, eta: 4:22:46, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3515, decode.acc_seg: 68.4463, aux.loss_ce: 0.1627, aux.acc_seg: 67.0854, loss: 0.5142 +2022-06-18 22:26:25,088 - mmseg - INFO - Iter [97250/160000] lr: 2.416e-05, eta: 4:22:30, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3231, decode.acc_seg: 70.3851, aux.loss_ce: 0.1520, aux.acc_seg: 69.0959, loss: 0.4751 +2022-06-18 22:26:36,540 - mmseg - INFO - Iter [97300/160000] lr: 2.414e-05, eta: 4:22:13, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3340, decode.acc_seg: 70.7840, aux.loss_ce: 0.1548, aux.acc_seg: 69.5407, loss: 0.4888 +2022-06-18 22:26:48,102 - mmseg - INFO - Iter [97350/160000] lr: 2.412e-05, eta: 4:21:57, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3334, decode.acc_seg: 70.2598, aux.loss_ce: 0.1536, aux.acc_seg: 68.9633, loss: 0.4870 +2022-06-18 22:26:59,644 - mmseg - INFO - Iter [97400/160000] lr: 2.410e-05, eta: 4:21:41, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3369, decode.acc_seg: 71.6704, aux.loss_ce: 0.1590, aux.acc_seg: 69.9932, loss: 0.4959 +2022-06-18 22:27:11,058 - mmseg - INFO - Iter [97450/160000] lr: 2.408e-05, eta: 4:21:25, time: 0.229, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3240, decode.acc_seg: 69.4582, aux.loss_ce: 0.1535, aux.acc_seg: 68.0692, loss: 0.4775 +2022-06-18 22:27:22,386 - mmseg - INFO - Iter [97500/160000] lr: 2.406e-05, eta: 4:21:09, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3261, decode.acc_seg: 71.2415, aux.loss_ce: 0.1549, aux.acc_seg: 69.6399, loss: 0.4810 +2022-06-18 22:27:33,871 - mmseg - INFO - Iter [97550/160000] lr: 2.404e-05, eta: 4:20:53, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3143, decode.acc_seg: 70.8988, aux.loss_ce: 0.1479, aux.acc_seg: 69.4315, loss: 0.4622 +2022-06-18 22:27:45,092 - mmseg - INFO - Iter [97600/160000] lr: 2.402e-05, eta: 4:20:36, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3306, decode.acc_seg: 69.7957, aux.loss_ce: 0.1542, aux.acc_seg: 68.4290, loss: 0.4849 +2022-06-18 22:27:56,682 - mmseg - INFO - Iter [97650/160000] lr: 2.401e-05, eta: 4:20:20, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3405, decode.acc_seg: 70.5112, aux.loss_ce: 0.1546, aux.acc_seg: 69.2741, loss: 0.4951 +2022-06-18 22:28:07,692 - mmseg - INFO - Iter [97700/160000] lr: 2.399e-05, eta: 4:20:02, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3278, decode.acc_seg: 68.6634, aux.loss_ce: 0.1558, aux.acc_seg: 67.1164, loss: 0.4835 +2022-06-18 22:28:18,752 - mmseg - INFO - Iter [97750/160000] lr: 2.397e-05, eta: 4:19:45, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3048, decode.acc_seg: 71.1547, aux.loss_ce: 0.1450, aux.acc_seg: 69.7122, loss: 0.4498 +2022-06-18 22:28:30,084 - mmseg - INFO - Iter [97800/160000] lr: 2.395e-05, eta: 4:19:28, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3268, decode.acc_seg: 71.7048, aux.loss_ce: 0.1536, aux.acc_seg: 70.2747, loss: 0.4804 +2022-06-18 22:28:41,268 - mmseg - INFO - Iter [97850/160000] lr: 2.393e-05, eta: 4:19:12, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3513, decode.acc_seg: 68.6964, aux.loss_ce: 0.1601, aux.acc_seg: 67.5257, loss: 0.5113 +2022-06-18 22:28:52,539 - mmseg - INFO - Iter [97900/160000] lr: 2.391e-05, eta: 4:18:55, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3369, decode.acc_seg: 70.8189, aux.loss_ce: 0.1569, aux.acc_seg: 69.5836, loss: 0.4938 +2022-06-18 22:29:05,966 - mmseg - INFO - Iter [97950/160000] lr: 2.389e-05, eta: 4:18:46, time: 0.269, data_time: 0.048, memory: 36327, decode.loss_ce: 0.3427, decode.acc_seg: 69.8512, aux.loss_ce: 0.1578, aux.acc_seg: 68.4901, loss: 0.5005 +2022-06-18 22:29:17,278 - mmseg - INFO - Saving checkpoint at 98000 iterations +2022-06-18 22:29:18,293 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:29:18,293 - mmseg - INFO - Iter [98000/160000] lr: 2.387e-05, eta: 4:18:32, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3308, decode.acc_seg: 71.5726, aux.loss_ce: 0.1530, aux.acc_seg: 70.2954, loss: 0.4838 +2022-06-18 22:29:29,491 - mmseg - INFO - Iter [98050/160000] lr: 2.385e-05, eta: 4:18:16, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3122, decode.acc_seg: 70.7727, aux.loss_ce: 0.1478, aux.acc_seg: 69.3345, loss: 0.4601 +2022-06-18 22:29:40,605 - mmseg - INFO - Iter [98100/160000] lr: 2.383e-05, eta: 4:17:59, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3116, decode.acc_seg: 71.8991, aux.loss_ce: 0.1477, aux.acc_seg: 70.5468, loss: 0.4593 +2022-06-18 22:29:51,717 - mmseg - INFO - Iter [98150/160000] lr: 2.381e-05, eta: 4:17:42, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3134, decode.acc_seg: 69.5958, aux.loss_ce: 0.1463, aux.acc_seg: 68.4647, loss: 0.4597 +2022-06-18 22:30:02,823 - mmseg - INFO - Iter [98200/160000] lr: 2.379e-05, eta: 4:17:25, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3057, decode.acc_seg: 71.2316, aux.loss_ce: 0.1428, aux.acc_seg: 69.8999, loss: 0.4485 +2022-06-18 22:30:14,173 - mmseg - INFO - Iter [98250/160000] lr: 2.377e-05, eta: 4:17:08, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3432, decode.acc_seg: 71.3333, aux.loss_ce: 0.1633, aux.acc_seg: 69.5144, loss: 0.5065 +2022-06-18 22:30:25,816 - mmseg - INFO - Iter [98300/160000] lr: 2.376e-05, eta: 4:16:53, time: 0.233, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3300, decode.acc_seg: 70.2092, aux.loss_ce: 0.1541, aux.acc_seg: 69.0128, loss: 0.4841 +2022-06-18 22:30:37,442 - mmseg - INFO - Iter [98350/160000] lr: 2.374e-05, eta: 4:16:38, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3150, decode.acc_seg: 68.6371, aux.loss_ce: 0.1463, aux.acc_seg: 67.5332, loss: 0.4613 +2022-06-18 22:30:48,653 - mmseg - INFO - Iter [98400/160000] lr: 2.372e-05, eta: 4:16:21, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3050, decode.acc_seg: 70.8121, aux.loss_ce: 0.1438, aux.acc_seg: 69.4266, loss: 0.4489 +2022-06-18 22:30:59,928 - mmseg - INFO - Iter [98450/160000] lr: 2.370e-05, eta: 4:16:05, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3348, decode.acc_seg: 70.2561, aux.loss_ce: 0.1577, aux.acc_seg: 68.7773, loss: 0.4924 +2022-06-18 22:31:11,152 - mmseg - INFO - Iter [98500/160000] lr: 2.368e-05, eta: 4:15:49, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3090, decode.acc_seg: 71.6562, aux.loss_ce: 0.1453, aux.acc_seg: 70.2603, loss: 0.4542 +2022-06-18 22:31:22,451 - mmseg - INFO - Iter [98550/160000] lr: 2.366e-05, eta: 4:15:32, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3274, decode.acc_seg: 71.4957, aux.loss_ce: 0.1520, aux.acc_seg: 70.2616, loss: 0.4794 +2022-06-18 22:31:33,605 - mmseg - INFO - Iter [98600/160000] lr: 2.364e-05, eta: 4:15:16, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3195, decode.acc_seg: 69.4223, aux.loss_ce: 0.1495, aux.acc_seg: 68.0935, loss: 0.4690 +2022-06-18 22:31:44,996 - mmseg - INFO - Iter [98650/160000] lr: 2.362e-05, eta: 4:15:00, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3446, decode.acc_seg: 69.8881, aux.loss_ce: 0.1597, aux.acc_seg: 68.4045, loss: 0.5043 +2022-06-18 22:31:56,398 - mmseg - INFO - Iter [98700/160000] lr: 2.360e-05, eta: 4:14:44, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3326, decode.acc_seg: 69.5153, aux.loss_ce: 0.1537, aux.acc_seg: 68.1428, loss: 0.4862 +2022-06-18 22:32:07,779 - mmseg - INFO - Iter [98750/160000] lr: 2.358e-05, eta: 4:14:28, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3200, decode.acc_seg: 69.6869, aux.loss_ce: 0.1511, aux.acc_seg: 68.3166, loss: 0.4712 +2022-06-18 22:32:19,212 - mmseg - INFO - Iter [98800/160000] lr: 2.356e-05, eta: 4:14:13, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3298, decode.acc_seg: 68.7600, aux.loss_ce: 0.1552, aux.acc_seg: 67.5539, loss: 0.4851 +2022-06-18 22:32:30,536 - mmseg - INFO - Iter [98850/160000] lr: 2.354e-05, eta: 4:13:57, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3133, decode.acc_seg: 70.3214, aux.loss_ce: 0.1463, aux.acc_seg: 69.0265, loss: 0.4596 +2022-06-18 22:32:41,547 - mmseg - INFO - Iter [98900/160000] lr: 2.352e-05, eta: 4:13:40, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3426, decode.acc_seg: 70.2508, aux.loss_ce: 0.1592, aux.acc_seg: 69.0110, loss: 0.5018 +2022-06-18 22:32:52,764 - mmseg - INFO - Iter [98950/160000] lr: 2.351e-05, eta: 4:13:24, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3154, decode.acc_seg: 72.6346, aux.loss_ce: 0.1475, aux.acc_seg: 71.4402, loss: 0.4629 +2022-06-18 22:33:04,059 - mmseg - INFO - Saving checkpoint at 99000 iterations +2022-06-18 22:33:05,111 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:33:05,111 - mmseg - INFO - Iter [99000/160000] lr: 2.349e-05, eta: 4:13:11, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3061, decode.acc_seg: 71.1450, aux.loss_ce: 0.1436, aux.acc_seg: 69.7985, loss: 0.4497 +2022-06-18 22:33:16,413 - mmseg - INFO - Iter [99050/160000] lr: 2.347e-05, eta: 4:12:55, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3086, decode.acc_seg: 71.2282, aux.loss_ce: 0.1447, aux.acc_seg: 69.8372, loss: 0.4534 +2022-06-18 22:33:27,579 - mmseg - INFO - Iter [99100/160000] lr: 2.345e-05, eta: 4:12:39, time: 0.223, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3355, decode.acc_seg: 69.6460, aux.loss_ce: 0.1553, aux.acc_seg: 68.4316, loss: 0.4908 +2022-06-18 22:33:38,859 - mmseg - INFO - Iter [99150/160000] lr: 2.343e-05, eta: 4:12:23, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3300, decode.acc_seg: 70.1675, aux.loss_ce: 0.1535, aux.acc_seg: 68.7559, loss: 0.4834 +2022-06-18 22:33:50,284 - mmseg - INFO - Iter [99200/160000] lr: 2.341e-05, eta: 4:12:07, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3254, decode.acc_seg: 70.7848, aux.loss_ce: 0.1517, aux.acc_seg: 69.1957, loss: 0.4770 +2022-06-18 22:34:04,013 - mmseg - INFO - Iter [99250/160000] lr: 2.339e-05, eta: 4:11:58, time: 0.274, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3002, decode.acc_seg: 71.0673, aux.loss_ce: 0.1417, aux.acc_seg: 69.6428, loss: 0.4419 +2022-06-18 22:34:15,646 - mmseg - INFO - Iter [99300/160000] lr: 2.337e-05, eta: 4:11:44, time: 0.233, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3299, decode.acc_seg: 69.8492, aux.loss_ce: 0.1534, aux.acc_seg: 68.5148, loss: 0.4833 +2022-06-18 22:34:27,033 - mmseg - INFO - Iter [99350/160000] lr: 2.335e-05, eta: 4:11:28, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3240, decode.acc_seg: 71.6264, aux.loss_ce: 0.1506, aux.acc_seg: 70.4546, loss: 0.4747 +2022-06-18 22:34:38,014 - mmseg - INFO - Iter [99400/160000] lr: 2.333e-05, eta: 4:11:11, time: 0.220, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3054, decode.acc_seg: 70.2914, aux.loss_ce: 0.1403, aux.acc_seg: 69.0249, loss: 0.4457 +2022-06-18 22:34:49,245 - mmseg - INFO - Iter [99450/160000] lr: 2.331e-05, eta: 4:10:55, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3000, decode.acc_seg: 70.0892, aux.loss_ce: 0.1431, aux.acc_seg: 68.6397, loss: 0.4431 +2022-06-18 22:35:00,464 - mmseg - INFO - Iter [99500/160000] lr: 2.329e-05, eta: 4:10:39, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3305, decode.acc_seg: 71.3331, aux.loss_ce: 0.1539, aux.acc_seg: 69.8217, loss: 0.4844 +2022-06-18 22:35:11,790 - mmseg - INFO - Iter [99550/160000] lr: 2.327e-05, eta: 4:10:24, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3337, decode.acc_seg: 70.2782, aux.loss_ce: 0.1576, aux.acc_seg: 68.7998, loss: 0.4913 +2022-06-18 22:35:23,237 - mmseg - INFO - Iter [99600/160000] lr: 2.325e-05, eta: 4:10:08, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3184, decode.acc_seg: 70.2049, aux.loss_ce: 0.1497, aux.acc_seg: 68.7720, loss: 0.4681 +2022-06-18 22:35:34,609 - mmseg - INFO - Iter [99650/160000] lr: 2.324e-05, eta: 4:09:53, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3506, decode.acc_seg: 71.7377, aux.loss_ce: 0.1629, aux.acc_seg: 70.4464, loss: 0.5136 +2022-06-18 22:35:45,581 - mmseg - INFO - Iter [99700/160000] lr: 2.322e-05, eta: 4:09:36, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3359, decode.acc_seg: 70.7584, aux.loss_ce: 0.1559, aux.acc_seg: 69.4440, loss: 0.4918 +2022-06-18 22:35:56,702 - mmseg - INFO - Iter [99750/160000] lr: 2.320e-05, eta: 4:09:20, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3204, decode.acc_seg: 71.9504, aux.loss_ce: 0.1503, aux.acc_seg: 70.6850, loss: 0.4707 +2022-06-18 22:36:07,971 - mmseg - INFO - Iter [99800/160000] lr: 2.318e-05, eta: 4:09:04, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3286, decode.acc_seg: 70.4255, aux.loss_ce: 0.1540, aux.acc_seg: 69.1353, loss: 0.4825 +2022-06-18 22:36:19,069 - mmseg - INFO - Iter [99850/160000] lr: 2.316e-05, eta: 4:08:48, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3284, decode.acc_seg: 71.0284, aux.loss_ce: 0.1544, aux.acc_seg: 69.6705, loss: 0.4828 +2022-06-18 22:36:30,318 - mmseg - INFO - Iter [99900/160000] lr: 2.314e-05, eta: 4:08:32, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3189, decode.acc_seg: 69.5682, aux.loss_ce: 0.1511, aux.acc_seg: 67.9422, loss: 0.4700 +2022-06-18 22:36:41,484 - mmseg - INFO - Iter [99950/160000] lr: 2.312e-05, eta: 4:08:16, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3220, decode.acc_seg: 69.7723, aux.loss_ce: 0.1516, aux.acc_seg: 68.4115, loss: 0.4737 +2022-06-18 22:36:52,528 - mmseg - INFO - Saving checkpoint at 100000 iterations +2022-06-18 22:36:53,520 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:36:53,520 - mmseg - INFO - Iter [100000/160000] lr: 2.310e-05, eta: 4:08:03, time: 0.241, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3193, decode.acc_seg: 70.3665, aux.loss_ce: 0.1469, aux.acc_seg: 69.1631, loss: 0.4662 +2022-06-18 22:37:04,811 - mmseg - INFO - Iter [100050/160000] lr: 2.308e-05, eta: 4:07:47, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3338, decode.acc_seg: 71.0390, aux.loss_ce: 0.1543, aux.acc_seg: 69.8838, loss: 0.4881 +2022-06-18 22:37:15,985 - mmseg - INFO - Iter [100100/160000] lr: 2.306e-05, eta: 4:07:31, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3411, decode.acc_seg: 70.0874, aux.loss_ce: 0.1579, aux.acc_seg: 68.7639, loss: 0.4990 +2022-06-18 22:37:27,135 - mmseg - INFO - Iter [100150/160000] lr: 2.304e-05, eta: 4:07:15, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3295, decode.acc_seg: 69.0253, aux.loss_ce: 0.1533, aux.acc_seg: 67.5841, loss: 0.4827 +2022-06-18 22:37:38,499 - mmseg - INFO - Iter [100200/160000] lr: 2.302e-05, eta: 4:07:00, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3023, decode.acc_seg: 70.4632, aux.loss_ce: 0.1456, aux.acc_seg: 68.8152, loss: 0.4479 +2022-06-18 22:37:49,897 - mmseg - INFO - Iter [100250/160000] lr: 2.300e-05, eta: 4:06:45, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3201, decode.acc_seg: 70.3587, aux.loss_ce: 0.1492, aux.acc_seg: 69.0819, loss: 0.4693 +2022-06-18 22:38:01,146 - mmseg - INFO - Iter [100300/160000] lr: 2.299e-05, eta: 4:06:29, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3200, decode.acc_seg: 70.6589, aux.loss_ce: 0.1504, aux.acc_seg: 69.2163, loss: 0.4704 +2022-06-18 22:38:12,512 - mmseg - INFO - Iter [100350/160000] lr: 2.297e-05, eta: 4:06:14, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3178, decode.acc_seg: 70.8705, aux.loss_ce: 0.1476, aux.acc_seg: 69.5652, loss: 0.4654 +2022-06-18 22:38:23,703 - mmseg - INFO - Iter [100400/160000] lr: 2.295e-05, eta: 4:05:58, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3091, decode.acc_seg: 70.4110, aux.loss_ce: 0.1431, aux.acc_seg: 69.2339, loss: 0.4522 +2022-06-18 22:38:34,942 - mmseg - INFO - Iter [100450/160000] lr: 2.293e-05, eta: 4:05:43, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3301, decode.acc_seg: 70.5790, aux.loss_ce: 0.1568, aux.acc_seg: 69.0555, loss: 0.4870 +2022-06-18 22:38:48,744 - mmseg - INFO - Iter [100500/160000] lr: 2.291e-05, eta: 4:05:34, time: 0.276, data_time: 0.050, memory: 36327, decode.loss_ce: 0.3335, decode.acc_seg: 69.2220, aux.loss_ce: 0.1543, aux.acc_seg: 67.8352, loss: 0.4878 +2022-06-18 22:38:59,903 - mmseg - INFO - Iter [100550/160000] lr: 2.289e-05, eta: 4:05:19, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3278, decode.acc_seg: 71.3723, aux.loss_ce: 0.1544, aux.acc_seg: 69.8763, loss: 0.4822 +2022-06-18 22:39:11,088 - mmseg - INFO - Iter [100600/160000] lr: 2.287e-05, eta: 4:05:03, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3357, decode.acc_seg: 69.7206, aux.loss_ce: 0.1578, aux.acc_seg: 68.3659, loss: 0.4935 +2022-06-18 22:39:22,339 - mmseg - INFO - Iter [100650/160000] lr: 2.285e-05, eta: 4:04:48, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3131, decode.acc_seg: 69.9664, aux.loss_ce: 0.1451, aux.acc_seg: 68.6808, loss: 0.4583 +2022-06-18 22:39:33,616 - mmseg - INFO - Iter [100700/160000] lr: 2.283e-05, eta: 4:04:32, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3226, decode.acc_seg: 71.0816, aux.loss_ce: 0.1506, aux.acc_seg: 69.8057, loss: 0.4732 +2022-06-18 22:39:44,941 - mmseg - INFO - Iter [100750/160000] lr: 2.281e-05, eta: 4:04:17, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3156, decode.acc_seg: 71.3793, aux.loss_ce: 0.1493, aux.acc_seg: 69.8118, loss: 0.4648 +2022-06-18 22:39:55,945 - mmseg - INFO - Iter [100800/160000] lr: 2.279e-05, eta: 4:04:01, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3112, decode.acc_seg: 69.9669, aux.loss_ce: 0.1481, aux.acc_seg: 68.4382, loss: 0.4592 +2022-06-18 22:40:07,297 - mmseg - INFO - Iter [100850/160000] lr: 2.277e-05, eta: 4:03:46, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2969, decode.acc_seg: 70.6349, aux.loss_ce: 0.1410, aux.acc_seg: 69.2382, loss: 0.4379 +2022-06-18 22:40:18,657 - mmseg - INFO - Iter [100900/160000] lr: 2.275e-05, eta: 4:03:31, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3062, decode.acc_seg: 72.0779, aux.loss_ce: 0.1451, aux.acc_seg: 70.6104, loss: 0.4513 +2022-06-18 22:40:29,907 - mmseg - INFO - Iter [100950/160000] lr: 2.274e-05, eta: 4:03:15, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3005, decode.acc_seg: 70.8255, aux.loss_ce: 0.1422, aux.acc_seg: 69.3663, loss: 0.4427 +2022-06-18 22:40:41,041 - mmseg - INFO - Saving checkpoint at 101000 iterations +2022-06-18 22:40:42,042 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:40:42,042 - mmseg - INFO - Iter [101000/160000] lr: 2.272e-05, eta: 4:03:02, time: 0.243, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2989, decode.acc_seg: 71.1828, aux.loss_ce: 0.1412, aux.acc_seg: 69.8994, loss: 0.4401 +2022-06-18 22:40:53,365 - mmseg - INFO - Iter [101050/160000] lr: 2.270e-05, eta: 4:02:47, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3293, decode.acc_seg: 69.1885, aux.loss_ce: 0.1530, aux.acc_seg: 67.8571, loss: 0.4823 +2022-06-18 22:41:04,705 - mmseg - INFO - Iter [101100/160000] lr: 2.268e-05, eta: 4:02:32, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3284, decode.acc_seg: 71.4807, aux.loss_ce: 0.1533, aux.acc_seg: 70.0374, loss: 0.4817 +2022-06-18 22:41:15,768 - mmseg - INFO - Iter [101150/160000] lr: 2.266e-05, eta: 4:02:16, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3190, decode.acc_seg: 70.4926, aux.loss_ce: 0.1491, aux.acc_seg: 69.0657, loss: 0.4681 +2022-06-18 22:41:27,135 - mmseg - INFO - Iter [101200/160000] lr: 2.264e-05, eta: 4:02:01, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3212, decode.acc_seg: 70.5766, aux.loss_ce: 0.1517, aux.acc_seg: 69.0521, loss: 0.4729 +2022-06-18 22:41:38,369 - mmseg - INFO - Iter [101250/160000] lr: 2.262e-05, eta: 4:01:46, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3290, decode.acc_seg: 71.1907, aux.loss_ce: 0.1524, aux.acc_seg: 69.8464, loss: 0.4814 +2022-06-18 22:41:49,471 - mmseg - INFO - Iter [101300/160000] lr: 2.260e-05, eta: 4:01:31, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3157, decode.acc_seg: 70.0798, aux.loss_ce: 0.1502, aux.acc_seg: 68.8018, loss: 0.4659 +2022-06-18 22:42:00,933 - mmseg - INFO - Iter [101350/160000] lr: 2.258e-05, eta: 4:01:16, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3426, decode.acc_seg: 70.6385, aux.loss_ce: 0.1603, aux.acc_seg: 69.2021, loss: 0.5029 +2022-06-18 22:42:12,289 - mmseg - INFO - Iter [101400/160000] lr: 2.256e-05, eta: 4:01:01, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3136, decode.acc_seg: 70.9909, aux.loss_ce: 0.1477, aux.acc_seg: 69.6575, loss: 0.4613 +2022-06-18 22:42:23,307 - mmseg - INFO - Iter [101450/160000] lr: 2.254e-05, eta: 4:00:45, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3269, decode.acc_seg: 72.0089, aux.loss_ce: 0.1539, aux.acc_seg: 70.6191, loss: 0.4809 +2022-06-18 22:42:34,837 - mmseg - INFO - Iter [101500/160000] lr: 2.252e-05, eta: 4:00:31, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3034, decode.acc_seg: 70.8059, aux.loss_ce: 0.1417, aux.acc_seg: 69.6277, loss: 0.4451 +2022-06-18 22:42:46,251 - mmseg - INFO - Iter [101550/160000] lr: 2.250e-05, eta: 4:00:16, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3204, decode.acc_seg: 70.5142, aux.loss_ce: 0.1488, aux.acc_seg: 69.2907, loss: 0.4692 +2022-06-18 22:42:57,297 - mmseg - INFO - Iter [101600/160000] lr: 2.248e-05, eta: 4:00:00, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3261, decode.acc_seg: 69.7997, aux.loss_ce: 0.1557, aux.acc_seg: 68.2764, loss: 0.4818 +2022-06-18 22:43:08,556 - mmseg - INFO - Iter [101650/160000] lr: 2.247e-05, eta: 3:59:45, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3053, decode.acc_seg: 70.7354, aux.loss_ce: 0.1438, aux.acc_seg: 69.4174, loss: 0.4491 +2022-06-18 22:43:19,901 - mmseg - INFO - Iter [101700/160000] lr: 2.245e-05, eta: 3:59:30, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3138, decode.acc_seg: 69.9419, aux.loss_ce: 0.1490, aux.acc_seg: 68.4307, loss: 0.4627 +2022-06-18 22:43:33,462 - mmseg - INFO - Iter [101750/160000] lr: 2.243e-05, eta: 3:59:21, time: 0.271, data_time: 0.050, memory: 36327, decode.loss_ce: 0.3324, decode.acc_seg: 69.9953, aux.loss_ce: 0.1568, aux.acc_seg: 68.5504, loss: 0.4892 +2022-06-18 22:43:44,460 - mmseg - INFO - Iter [101800/160000] lr: 2.241e-05, eta: 3:59:06, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3163, decode.acc_seg: 70.0613, aux.loss_ce: 0.1464, aux.acc_seg: 68.9414, loss: 0.4627 +2022-06-18 22:43:56,020 - mmseg - INFO - Iter [101850/160000] lr: 2.239e-05, eta: 3:58:51, time: 0.231, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3088, decode.acc_seg: 71.5522, aux.loss_ce: 0.1469, aux.acc_seg: 70.1097, loss: 0.4557 +2022-06-18 22:44:07,366 - mmseg - INFO - Iter [101900/160000] lr: 2.237e-05, eta: 3:58:36, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3190, decode.acc_seg: 71.9948, aux.loss_ce: 0.1505, aux.acc_seg: 70.2969, loss: 0.4695 +2022-06-18 22:44:18,708 - mmseg - INFO - Iter [101950/160000] lr: 2.235e-05, eta: 3:58:22, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3013, decode.acc_seg: 70.4696, aux.loss_ce: 0.1423, aux.acc_seg: 69.1718, loss: 0.4437 +2022-06-18 22:44:30,042 - mmseg - INFO - Saving checkpoint at 102000 iterations +2022-06-18 22:44:31,053 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:44:31,054 - mmseg - INFO - Iter [102000/160000] lr: 2.233e-05, eta: 3:58:09, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3119, decode.acc_seg: 71.3142, aux.loss_ce: 0.1468, aux.acc_seg: 70.0042, loss: 0.4587 +2022-06-18 22:44:42,431 - mmseg - INFO - Iter [102050/160000] lr: 2.231e-05, eta: 3:57:55, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3142, decode.acc_seg: 70.5298, aux.loss_ce: 0.1500, aux.acc_seg: 68.8862, loss: 0.4642 +2022-06-18 22:44:53,715 - mmseg - INFO - Iter [102100/160000] lr: 2.229e-05, eta: 3:57:40, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3260, decode.acc_seg: 71.1297, aux.loss_ce: 0.1534, aux.acc_seg: 69.6429, loss: 0.4793 +2022-06-18 22:45:04,793 - mmseg - INFO - Iter [102150/160000] lr: 2.227e-05, eta: 3:57:24, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3026, decode.acc_seg: 70.7729, aux.loss_ce: 0.1444, aux.acc_seg: 69.3664, loss: 0.4470 +2022-06-18 22:45:16,323 - mmseg - INFO - Iter [102200/160000] lr: 2.225e-05, eta: 3:57:10, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3008, decode.acc_seg: 69.5690, aux.loss_ce: 0.1404, aux.acc_seg: 68.3254, loss: 0.4411 +2022-06-18 22:45:27,842 - mmseg - INFO - Iter [102250/160000] lr: 2.223e-05, eta: 3:56:56, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3156, decode.acc_seg: 70.8954, aux.loss_ce: 0.1469, aux.acc_seg: 69.4281, loss: 0.4625 +2022-06-18 22:45:38,765 - mmseg - INFO - Iter [102300/160000] lr: 2.222e-05, eta: 3:56:40, time: 0.218, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3202, decode.acc_seg: 69.5980, aux.loss_ce: 0.1494, aux.acc_seg: 68.3616, loss: 0.4695 +2022-06-18 22:45:50,134 - mmseg - INFO - Iter [102350/160000] lr: 2.220e-05, eta: 3:56:26, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3136, decode.acc_seg: 71.1001, aux.loss_ce: 0.1489, aux.acc_seg: 69.5560, loss: 0.4625 +2022-06-18 22:46:01,280 - mmseg - INFO - Iter [102400/160000] lr: 2.218e-05, eta: 3:56:10, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3279, decode.acc_seg: 70.9630, aux.loss_ce: 0.1538, aux.acc_seg: 69.4084, loss: 0.4817 +2022-06-18 22:46:12,435 - mmseg - INFO - Iter [102450/160000] lr: 2.216e-05, eta: 3:55:55, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3121, decode.acc_seg: 71.3884, aux.loss_ce: 0.1465, aux.acc_seg: 70.1243, loss: 0.4585 +2022-06-18 22:46:23,507 - mmseg - INFO - Iter [102500/160000] lr: 2.214e-05, eta: 3:55:40, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3306, decode.acc_seg: 70.0992, aux.loss_ce: 0.1543, aux.acc_seg: 68.8083, loss: 0.4849 +2022-06-18 22:46:34,673 - mmseg - INFO - Iter [102550/160000] lr: 2.212e-05, eta: 3:55:25, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3235, decode.acc_seg: 70.4792, aux.loss_ce: 0.1527, aux.acc_seg: 69.0340, loss: 0.4761 +2022-06-18 22:46:46,109 - mmseg - INFO - Iter [102600/160000] lr: 2.210e-05, eta: 3:55:10, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3074, decode.acc_seg: 71.2377, aux.loss_ce: 0.1489, aux.acc_seg: 69.6322, loss: 0.4563 +2022-06-18 22:46:57,291 - mmseg - INFO - Iter [102650/160000] lr: 2.208e-05, eta: 3:54:56, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3336, decode.acc_seg: 71.9800, aux.loss_ce: 0.1535, aux.acc_seg: 70.6684, loss: 0.4871 +2022-06-18 22:47:08,341 - mmseg - INFO - Iter [102700/160000] lr: 2.206e-05, eta: 3:54:40, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3231, decode.acc_seg: 70.4729, aux.loss_ce: 0.1511, aux.acc_seg: 69.1619, loss: 0.4741 +2022-06-18 22:47:19,655 - mmseg - INFO - Iter [102750/160000] lr: 2.204e-05, eta: 3:54:26, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3080, decode.acc_seg: 70.7359, aux.loss_ce: 0.1448, aux.acc_seg: 69.4464, loss: 0.4528 +2022-06-18 22:47:31,083 - mmseg - INFO - Iter [102800/160000] lr: 2.202e-05, eta: 3:54:11, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3106, decode.acc_seg: 70.7158, aux.loss_ce: 0.1438, aux.acc_seg: 69.5479, loss: 0.4545 +2022-06-18 22:47:42,703 - mmseg - INFO - Iter [102850/160000] lr: 2.200e-05, eta: 3:53:57, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3081, decode.acc_seg: 71.0497, aux.loss_ce: 0.1451, aux.acc_seg: 69.6980, loss: 0.4532 +2022-06-18 22:47:53,878 - mmseg - INFO - Iter [102900/160000] lr: 2.198e-05, eta: 3:53:42, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3116, decode.acc_seg: 71.2370, aux.loss_ce: 0.1488, aux.acc_seg: 69.7703, loss: 0.4604 +2022-06-18 22:48:05,085 - mmseg - INFO - Iter [102950/160000] lr: 2.197e-05, eta: 3:53:28, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3242, decode.acc_seg: 69.1725, aux.loss_ce: 0.1509, aux.acc_seg: 67.9079, loss: 0.4751 +2022-06-18 22:48:18,690 - mmseg - INFO - Saving checkpoint at 103000 iterations +2022-06-18 22:48:19,686 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:48:19,686 - mmseg - INFO - Iter [103000/160000] lr: 2.195e-05, eta: 3:53:21, time: 0.292, data_time: 0.050, memory: 36327, decode.loss_ce: 0.3184, decode.acc_seg: 70.9756, aux.loss_ce: 0.1501, aux.acc_seg: 69.5791, loss: 0.4685 +2022-06-18 22:48:30,996 - mmseg - INFO - Iter [103050/160000] lr: 2.193e-05, eta: 3:53:06, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3070, decode.acc_seg: 72.3014, aux.loss_ce: 0.1464, aux.acc_seg: 70.7773, loss: 0.4534 +2022-06-18 22:48:42,157 - mmseg - INFO - Iter [103100/160000] lr: 2.191e-05, eta: 3:52:51, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3153, decode.acc_seg: 71.5569, aux.loss_ce: 0.1498, aux.acc_seg: 69.8566, loss: 0.4652 +2022-06-18 22:48:53,353 - mmseg - INFO - Iter [103150/160000] lr: 2.189e-05, eta: 3:52:37, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3185, decode.acc_seg: 70.8275, aux.loss_ce: 0.1480, aux.acc_seg: 69.4433, loss: 0.4665 +2022-06-18 22:49:04,712 - mmseg - INFO - Iter [103200/160000] lr: 2.187e-05, eta: 3:52:22, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3073, decode.acc_seg: 70.9525, aux.loss_ce: 0.1461, aux.acc_seg: 69.5152, loss: 0.4535 +2022-06-18 22:49:16,160 - mmseg - INFO - Iter [103250/160000] lr: 2.185e-05, eta: 3:52:08, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3119, decode.acc_seg: 70.9681, aux.loss_ce: 0.1506, aux.acc_seg: 69.3940, loss: 0.4625 +2022-06-18 22:49:27,311 - mmseg - INFO - Iter [103300/160000] lr: 2.183e-05, eta: 3:51:53, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3145, decode.acc_seg: 71.5534, aux.loss_ce: 0.1471, aux.acc_seg: 70.4322, loss: 0.4617 +2022-06-18 22:49:38,683 - mmseg - INFO - Iter [103350/160000] lr: 2.181e-05, eta: 3:51:39, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3084, decode.acc_seg: 70.3231, aux.loss_ce: 0.1461, aux.acc_seg: 69.0201, loss: 0.4545 +2022-06-18 22:49:50,301 - mmseg - INFO - Iter [103400/160000] lr: 2.179e-05, eta: 3:51:25, time: 0.233, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3001, decode.acc_seg: 72.2208, aux.loss_ce: 0.1405, aux.acc_seg: 70.9458, loss: 0.4406 +2022-06-18 22:50:01,585 - mmseg - INFO - Iter [103450/160000] lr: 2.177e-05, eta: 3:51:10, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3228, decode.acc_seg: 71.2901, aux.loss_ce: 0.1511, aux.acc_seg: 69.9089, loss: 0.4738 +2022-06-18 22:50:13,123 - mmseg - INFO - Iter [103500/160000] lr: 2.175e-05, eta: 3:50:56, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3173, decode.acc_seg: 71.5806, aux.loss_ce: 0.1504, aux.acc_seg: 70.1076, loss: 0.4677 +2022-06-18 22:50:24,437 - mmseg - INFO - Iter [103550/160000] lr: 2.173e-05, eta: 3:50:42, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3065, decode.acc_seg: 71.3852, aux.loss_ce: 0.1440, aux.acc_seg: 69.9035, loss: 0.4505 +2022-06-18 22:50:35,659 - mmseg - INFO - Iter [103600/160000] lr: 2.171e-05, eta: 3:50:27, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3107, decode.acc_seg: 70.1651, aux.loss_ce: 0.1465, aux.acc_seg: 68.7865, loss: 0.4572 +2022-06-18 22:50:47,031 - mmseg - INFO - Iter [103650/160000] lr: 2.170e-05, eta: 3:50:13, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3162, decode.acc_seg: 70.6730, aux.loss_ce: 0.1462, aux.acc_seg: 69.3621, loss: 0.4625 +2022-06-18 22:50:58,668 - mmseg - INFO - Iter [103700/160000] lr: 2.168e-05, eta: 3:49:59, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3277, decode.acc_seg: 70.8481, aux.loss_ce: 0.1543, aux.acc_seg: 69.4487, loss: 0.4819 +2022-06-18 22:51:10,041 - mmseg - INFO - Iter [103750/160000] lr: 2.166e-05, eta: 3:49:45, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3030, decode.acc_seg: 71.8545, aux.loss_ce: 0.1453, aux.acc_seg: 70.2823, loss: 0.4483 +2022-06-18 22:51:21,528 - mmseg - INFO - Iter [103800/160000] lr: 2.164e-05, eta: 3:49:31, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3178, decode.acc_seg: 71.9651, aux.loss_ce: 0.1481, aux.acc_seg: 70.5809, loss: 0.4659 +2022-06-18 22:51:32,823 - mmseg - INFO - Iter [103850/160000] lr: 2.162e-05, eta: 3:49:17, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3242, decode.acc_seg: 69.3076, aux.loss_ce: 0.1518, aux.acc_seg: 68.0154, loss: 0.4760 +2022-06-18 22:51:44,270 - mmseg - INFO - Iter [103900/160000] lr: 2.160e-05, eta: 3:49:03, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3204, decode.acc_seg: 69.7959, aux.loss_ce: 0.1504, aux.acc_seg: 68.3258, loss: 0.4708 +2022-06-18 22:51:55,809 - mmseg - INFO - Iter [103950/160000] lr: 2.158e-05, eta: 3:48:49, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3206, decode.acc_seg: 70.7661, aux.loss_ce: 0.1510, aux.acc_seg: 69.2575, loss: 0.4716 +2022-06-18 22:52:07,037 - mmseg - INFO - Saving checkpoint at 104000 iterations +2022-06-18 22:52:08,056 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:52:08,056 - mmseg - INFO - Iter [104000/160000] lr: 2.156e-05, eta: 3:48:37, time: 0.245, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3315, decode.acc_seg: 71.4756, aux.loss_ce: 0.1549, aux.acc_seg: 70.0976, loss: 0.4864 +2022-06-18 22:52:19,193 - mmseg - INFO - Iter [104050/160000] lr: 2.154e-05, eta: 3:48:22, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3144, decode.acc_seg: 70.0376, aux.loss_ce: 0.1456, aux.acc_seg: 68.7605, loss: 0.4600 +2022-06-18 22:52:30,607 - mmseg - INFO - Iter [104100/160000] lr: 2.152e-05, eta: 3:48:08, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3158, decode.acc_seg: 70.6271, aux.loss_ce: 0.1472, aux.acc_seg: 69.3772, loss: 0.4630 +2022-06-18 22:52:42,079 - mmseg - INFO - Iter [104150/160000] lr: 2.150e-05, eta: 3:47:54, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3155, decode.acc_seg: 71.5230, aux.loss_ce: 0.1489, aux.acc_seg: 70.0481, loss: 0.4644 +2022-06-18 22:52:53,614 - mmseg - INFO - Iter [104200/160000] lr: 2.148e-05, eta: 3:47:40, time: 0.231, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3177, decode.acc_seg: 69.5606, aux.loss_ce: 0.1462, aux.acc_seg: 68.3598, loss: 0.4640 +2022-06-18 22:53:04,667 - mmseg - INFO - Iter [104250/160000] lr: 2.146e-05, eta: 3:47:25, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3108, decode.acc_seg: 70.8287, aux.loss_ce: 0.1449, aux.acc_seg: 69.5772, loss: 0.4557 +2022-06-18 22:53:18,234 - mmseg - INFO - Iter [104300/160000] lr: 2.145e-05, eta: 3:47:16, time: 0.271, data_time: 0.050, memory: 36327, decode.loss_ce: 0.3429, decode.acc_seg: 71.4193, aux.loss_ce: 0.1624, aux.acc_seg: 69.8689, loss: 0.5053 +2022-06-18 22:53:29,611 - mmseg - INFO - Iter [104350/160000] lr: 2.143e-05, eta: 3:47:02, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3077, decode.acc_seg: 70.8358, aux.loss_ce: 0.1442, aux.acc_seg: 69.4569, loss: 0.4520 +2022-06-18 22:53:41,074 - mmseg - INFO - Iter [104400/160000] lr: 2.141e-05, eta: 3:46:48, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3017, decode.acc_seg: 70.7423, aux.loss_ce: 0.1423, aux.acc_seg: 69.1899, loss: 0.4439 +2022-06-18 22:53:52,503 - mmseg - INFO - Iter [104450/160000] lr: 2.139e-05, eta: 3:46:34, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3156, decode.acc_seg: 71.7801, aux.loss_ce: 0.1489, aux.acc_seg: 70.4193, loss: 0.4645 +2022-06-18 22:54:03,904 - mmseg - INFO - Iter [104500/160000] lr: 2.137e-05, eta: 3:46:20, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3241, decode.acc_seg: 70.9736, aux.loss_ce: 0.1492, aux.acc_seg: 69.6080, loss: 0.4734 +2022-06-18 22:54:15,391 - mmseg - INFO - Iter [104550/160000] lr: 2.135e-05, eta: 3:46:06, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3131, decode.acc_seg: 69.3517, aux.loss_ce: 0.1462, aux.acc_seg: 67.9458, loss: 0.4593 +2022-06-18 22:54:26,582 - mmseg - INFO - Iter [104600/160000] lr: 2.133e-05, eta: 3:45:51, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3203, decode.acc_seg: 70.0652, aux.loss_ce: 0.1496, aux.acc_seg: 68.6295, loss: 0.4699 +2022-06-18 22:54:37,824 - mmseg - INFO - Iter [104650/160000] lr: 2.131e-05, eta: 3:45:37, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3014, decode.acc_seg: 71.7871, aux.loss_ce: 0.1420, aux.acc_seg: 70.3201, loss: 0.4434 +2022-06-18 22:54:48,926 - mmseg - INFO - Iter [104700/160000] lr: 2.129e-05, eta: 3:45:22, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3150, decode.acc_seg: 70.2012, aux.loss_ce: 0.1497, aux.acc_seg: 68.7873, loss: 0.4647 +2022-06-18 22:55:00,320 - mmseg - INFO - Iter [104750/160000] lr: 2.127e-05, eta: 3:45:08, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2984, decode.acc_seg: 72.6937, aux.loss_ce: 0.1412, aux.acc_seg: 71.2609, loss: 0.4397 +2022-06-18 22:55:11,641 - mmseg - INFO - Iter [104800/160000] lr: 2.125e-05, eta: 3:44:54, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3384, decode.acc_seg: 69.2948, aux.loss_ce: 0.1581, aux.acc_seg: 67.7005, loss: 0.4964 +2022-06-18 22:55:23,155 - mmseg - INFO - Iter [104850/160000] lr: 2.123e-05, eta: 3:44:40, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3219, decode.acc_seg: 70.3188, aux.loss_ce: 0.1489, aux.acc_seg: 69.0508, loss: 0.4708 +2022-06-18 22:55:34,523 - mmseg - INFO - Iter [104900/160000] lr: 2.121e-05, eta: 3:44:26, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3011, decode.acc_seg: 70.3741, aux.loss_ce: 0.1417, aux.acc_seg: 69.0500, loss: 0.4427 +2022-06-18 22:55:45,691 - mmseg - INFO - Iter [104950/160000] lr: 2.119e-05, eta: 3:44:12, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3047, decode.acc_seg: 69.7979, aux.loss_ce: 0.1466, aux.acc_seg: 68.2371, loss: 0.4513 +2022-06-18 22:55:56,867 - mmseg - INFO - Saving checkpoint at 105000 iterations +2022-06-18 22:55:57,997 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:55:57,997 - mmseg - INFO - Iter [105000/160000] lr: 2.118e-05, eta: 3:44:00, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3055, decode.acc_seg: 71.2158, aux.loss_ce: 0.1433, aux.acc_seg: 69.9113, loss: 0.4488 +2022-06-18 22:56:09,219 - mmseg - INFO - Iter [105050/160000] lr: 2.116e-05, eta: 3:43:46, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3226, decode.acc_seg: 71.4363, aux.loss_ce: 0.1526, aux.acc_seg: 69.8907, loss: 0.4752 +2022-06-18 22:56:20,589 - mmseg - INFO - Iter [105100/160000] lr: 2.114e-05, eta: 3:43:32, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2970, decode.acc_seg: 69.9813, aux.loss_ce: 0.1415, aux.acc_seg: 68.5833, loss: 0.4385 +2022-06-18 22:56:31,884 - mmseg - INFO - Iter [105150/160000] lr: 2.112e-05, eta: 3:43:17, time: 0.226, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3088, decode.acc_seg: 70.4043, aux.loss_ce: 0.1476, aux.acc_seg: 69.0875, loss: 0.4565 +2022-06-18 22:56:43,315 - mmseg - INFO - Iter [105200/160000] lr: 2.110e-05, eta: 3:43:04, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3155, decode.acc_seg: 69.8943, aux.loss_ce: 0.1482, aux.acc_seg: 68.4547, loss: 0.4637 +2022-06-18 22:56:54,623 - mmseg - INFO - Iter [105250/160000] lr: 2.108e-05, eta: 3:42:49, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2956, decode.acc_seg: 70.1102, aux.loss_ce: 0.1386, aux.acc_seg: 68.6610, loss: 0.4342 +2022-06-18 22:57:05,690 - mmseg - INFO - Iter [105300/160000] lr: 2.106e-05, eta: 3:42:35, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3101, decode.acc_seg: 71.6710, aux.loss_ce: 0.1466, aux.acc_seg: 70.0849, loss: 0.4568 +2022-06-18 22:57:17,050 - mmseg - INFO - Iter [105350/160000] lr: 2.104e-05, eta: 3:42:21, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3015, decode.acc_seg: 71.7272, aux.loss_ce: 0.1455, aux.acc_seg: 70.0734, loss: 0.4471 +2022-06-18 22:57:28,251 - mmseg - INFO - Iter [105400/160000] lr: 2.102e-05, eta: 3:42:07, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3071, decode.acc_seg: 70.2117, aux.loss_ce: 0.1455, aux.acc_seg: 68.6934, loss: 0.4526 +2022-06-18 22:57:39,481 - mmseg - INFO - Iter [105450/160000] lr: 2.100e-05, eta: 3:41:52, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3304, decode.acc_seg: 69.6768, aux.loss_ce: 0.1570, aux.acc_seg: 68.1579, loss: 0.4874 +2022-06-18 22:57:50,850 - mmseg - INFO - Iter [105500/160000] lr: 2.098e-05, eta: 3:41:38, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3139, decode.acc_seg: 71.2205, aux.loss_ce: 0.1482, aux.acc_seg: 69.8717, loss: 0.4622 +2022-06-18 22:58:04,650 - mmseg - INFO - Iter [105550/160000] lr: 2.096e-05, eta: 3:41:30, time: 0.276, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2972, decode.acc_seg: 71.9435, aux.loss_ce: 0.1412, aux.acc_seg: 70.6111, loss: 0.4384 +2022-06-18 22:58:15,810 - mmseg - INFO - Iter [105600/160000] lr: 2.094e-05, eta: 3:41:15, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3159, decode.acc_seg: 68.7029, aux.loss_ce: 0.1489, aux.acc_seg: 67.1836, loss: 0.4648 +2022-06-18 22:58:27,070 - mmseg - INFO - Iter [105650/160000] lr: 2.093e-05, eta: 3:41:01, time: 0.226, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3120, decode.acc_seg: 70.1558, aux.loss_ce: 0.1476, aux.acc_seg: 68.7977, loss: 0.4596 +2022-06-18 22:58:38,333 - mmseg - INFO - Iter [105700/160000] lr: 2.091e-05, eta: 3:40:47, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3144, decode.acc_seg: 71.2945, aux.loss_ce: 0.1500, aux.acc_seg: 69.7035, loss: 0.4644 +2022-06-18 22:58:49,630 - mmseg - INFO - Iter [105750/160000] lr: 2.089e-05, eta: 3:40:33, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3100, decode.acc_seg: 71.3025, aux.loss_ce: 0.1471, aux.acc_seg: 69.7679, loss: 0.4571 +2022-06-18 22:59:00,754 - mmseg - INFO - Iter [105800/160000] lr: 2.087e-05, eta: 3:40:19, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3096, decode.acc_seg: 70.6832, aux.loss_ce: 0.1473, aux.acc_seg: 69.2483, loss: 0.4568 +2022-06-18 22:59:12,384 - mmseg - INFO - Iter [105850/160000] lr: 2.085e-05, eta: 3:40:05, time: 0.233, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3070, decode.acc_seg: 70.5623, aux.loss_ce: 0.1459, aux.acc_seg: 69.1998, loss: 0.4529 +2022-06-18 22:59:24,162 - mmseg - INFO - Iter [105900/160000] lr: 2.083e-05, eta: 3:39:52, time: 0.236, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3032, decode.acc_seg: 72.0393, aux.loss_ce: 0.1434, aux.acc_seg: 70.6338, loss: 0.4467 +2022-06-18 22:59:35,445 - mmseg - INFO - Iter [105950/160000] lr: 2.081e-05, eta: 3:39:38, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3255, decode.acc_seg: 72.3818, aux.loss_ce: 0.1542, aux.acc_seg: 70.7899, loss: 0.4797 +2022-06-18 22:59:46,988 - mmseg - INFO - Saving checkpoint at 106000 iterations +2022-06-18 22:59:48,021 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 22:59:48,022 - mmseg - INFO - Iter [106000/160000] lr: 2.079e-05, eta: 3:39:27, time: 0.252, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3099, decode.acc_seg: 70.9706, aux.loss_ce: 0.1473, aux.acc_seg: 69.2496, loss: 0.4572 +2022-06-18 22:59:59,310 - mmseg - INFO - Iter [106050/160000] lr: 2.077e-05, eta: 3:39:13, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3022, decode.acc_seg: 71.6867, aux.loss_ce: 0.1420, aux.acc_seg: 70.3207, loss: 0.4442 +2022-06-18 23:00:10,858 - mmseg - INFO - Iter [106100/160000] lr: 2.075e-05, eta: 3:38:59, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3262, decode.acc_seg: 70.6693, aux.loss_ce: 0.1536, aux.acc_seg: 69.2275, loss: 0.4798 +2022-06-18 23:00:22,189 - mmseg - INFO - Iter [106150/160000] lr: 2.073e-05, eta: 3:38:45, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3285, decode.acc_seg: 71.3356, aux.loss_ce: 0.1553, aux.acc_seg: 69.8699, loss: 0.4838 +2022-06-18 23:00:33,469 - mmseg - INFO - Iter [106200/160000] lr: 2.071e-05, eta: 3:38:31, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3257, decode.acc_seg: 73.5179, aux.loss_ce: 0.1518, aux.acc_seg: 72.2675, loss: 0.4775 +2022-06-18 23:00:45,143 - mmseg - INFO - Iter [106250/160000] lr: 2.069e-05, eta: 3:38:18, time: 0.234, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3300, decode.acc_seg: 69.9182, aux.loss_ce: 0.1545, aux.acc_seg: 68.6109, loss: 0.4845 +2022-06-18 23:00:56,372 - mmseg - INFO - Iter [106300/160000] lr: 2.068e-05, eta: 3:38:04, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3040, decode.acc_seg: 70.1528, aux.loss_ce: 0.1441, aux.acc_seg: 68.7796, loss: 0.4481 +2022-06-18 23:01:07,849 - mmseg - INFO - Iter [106350/160000] lr: 2.066e-05, eta: 3:37:51, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3303, decode.acc_seg: 70.7615, aux.loss_ce: 0.1550, aux.acc_seg: 69.3787, loss: 0.4853 +2022-06-18 23:01:19,073 - mmseg - INFO - Iter [106400/160000] lr: 2.064e-05, eta: 3:37:37, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3213, decode.acc_seg: 70.4996, aux.loss_ce: 0.1501, aux.acc_seg: 69.1832, loss: 0.4714 +2022-06-18 23:01:30,613 - mmseg - INFO - Iter [106450/160000] lr: 2.062e-05, eta: 3:37:23, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3171, decode.acc_seg: 70.8476, aux.loss_ce: 0.1503, aux.acc_seg: 69.2640, loss: 0.4675 +2022-06-18 23:01:41,779 - mmseg - INFO - Iter [106500/160000] lr: 2.060e-05, eta: 3:37:09, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3101, decode.acc_seg: 71.7830, aux.loss_ce: 0.1474, aux.acc_seg: 70.2422, loss: 0.4575 +2022-06-18 23:01:52,919 - mmseg - INFO - Iter [106550/160000] lr: 2.058e-05, eta: 3:36:55, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2906, decode.acc_seg: 69.7148, aux.loss_ce: 0.1369, aux.acc_seg: 68.5489, loss: 0.4275 +2022-06-18 23:02:04,338 - mmseg - INFO - Iter [106600/160000] lr: 2.056e-05, eta: 3:36:41, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3216, decode.acc_seg: 71.0765, aux.loss_ce: 0.1502, aux.acc_seg: 69.6687, loss: 0.4718 +2022-06-18 23:02:15,446 - mmseg - INFO - Iter [106650/160000] lr: 2.054e-05, eta: 3:36:27, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3025, decode.acc_seg: 70.0957, aux.loss_ce: 0.1434, aux.acc_seg: 68.6308, loss: 0.4459 +2022-06-18 23:02:27,066 - mmseg - INFO - Iter [106700/160000] lr: 2.052e-05, eta: 3:36:14, time: 0.232, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3127, decode.acc_seg: 70.9091, aux.loss_ce: 0.1445, aux.acc_seg: 69.7913, loss: 0.4573 +2022-06-18 23:02:38,606 - mmseg - INFO - Iter [106750/160000] lr: 2.050e-05, eta: 3:36:00, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2982, decode.acc_seg: 71.7463, aux.loss_ce: 0.1386, aux.acc_seg: 70.5131, loss: 0.4368 +2022-06-18 23:02:52,137 - mmseg - INFO - Iter [106800/160000] lr: 2.048e-05, eta: 3:35:51, time: 0.271, data_time: 0.048, memory: 36327, decode.loss_ce: 0.3017, decode.acc_seg: 71.4798, aux.loss_ce: 0.1432, aux.acc_seg: 70.1414, loss: 0.4449 +2022-06-18 23:03:03,217 - mmseg - INFO - Iter [106850/160000] lr: 2.046e-05, eta: 3:35:36, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3034, decode.acc_seg: 73.3548, aux.loss_ce: 0.1438, aux.acc_seg: 71.9801, loss: 0.4472 +2022-06-18 23:03:14,299 - mmseg - INFO - Iter [106900/160000] lr: 2.044e-05, eta: 3:35:22, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3065, decode.acc_seg: 70.3739, aux.loss_ce: 0.1445, aux.acc_seg: 69.1087, loss: 0.4510 +2022-06-18 23:03:25,539 - mmseg - INFO - Iter [106950/160000] lr: 2.042e-05, eta: 3:35:08, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3124, decode.acc_seg: 71.6682, aux.loss_ce: 0.1465, aux.acc_seg: 70.3146, loss: 0.4589 +2022-06-18 23:03:36,917 - mmseg - INFO - Saving checkpoint at 107000 iterations +2022-06-18 23:03:37,911 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:03:37,911 - mmseg - INFO - Iter [107000/160000] lr: 2.041e-05, eta: 3:34:57, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3173, decode.acc_seg: 70.6740, aux.loss_ce: 0.1500, aux.acc_seg: 69.4110, loss: 0.4673 +2022-06-18 23:03:49,049 - mmseg - INFO - Iter [107050/160000] lr: 2.039e-05, eta: 3:34:42, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2945, decode.acc_seg: 71.1490, aux.loss_ce: 0.1412, aux.acc_seg: 69.6303, loss: 0.4358 +2022-06-18 23:04:00,197 - mmseg - INFO - Iter [107100/160000] lr: 2.037e-05, eta: 3:34:28, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2925, decode.acc_seg: 71.7525, aux.loss_ce: 0.1376, aux.acc_seg: 70.4998, loss: 0.4301 +2022-06-18 23:04:11,393 - mmseg - INFO - Iter [107150/160000] lr: 2.035e-05, eta: 3:34:14, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3186, decode.acc_seg: 71.6298, aux.loss_ce: 0.1520, aux.acc_seg: 70.1390, loss: 0.4706 +2022-06-18 23:04:22,392 - mmseg - INFO - Iter [107200/160000] lr: 2.033e-05, eta: 3:34:00, time: 0.220, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2882, decode.acc_seg: 71.6213, aux.loss_ce: 0.1373, aux.acc_seg: 70.0987, loss: 0.4255 +2022-06-18 23:04:33,697 - mmseg - INFO - Iter [107250/160000] lr: 2.031e-05, eta: 3:33:46, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3043, decode.acc_seg: 70.5815, aux.loss_ce: 0.1452, aux.acc_seg: 69.0857, loss: 0.4495 +2022-06-18 23:04:44,976 - mmseg - INFO - Iter [107300/160000] lr: 2.029e-05, eta: 3:33:32, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3075, decode.acc_seg: 70.9659, aux.loss_ce: 0.1465, aux.acc_seg: 69.5875, loss: 0.4540 +2022-06-18 23:04:56,292 - mmseg - INFO - Iter [107350/160000] lr: 2.027e-05, eta: 3:33:19, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2955, decode.acc_seg: 69.9099, aux.loss_ce: 0.1405, aux.acc_seg: 68.5836, loss: 0.4360 +2022-06-18 23:05:07,538 - mmseg - INFO - Iter [107400/160000] lr: 2.025e-05, eta: 3:33:05, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2960, decode.acc_seg: 72.5746, aux.loss_ce: 0.1425, aux.acc_seg: 70.9723, loss: 0.4385 +2022-06-18 23:05:19,145 - mmseg - INFO - Iter [107450/160000] lr: 2.023e-05, eta: 3:32:52, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3084, decode.acc_seg: 71.0346, aux.loss_ce: 0.1468, aux.acc_seg: 69.6332, loss: 0.4552 +2022-06-18 23:05:30,566 - mmseg - INFO - Iter [107500/160000] lr: 2.021e-05, eta: 3:32:38, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3032, decode.acc_seg: 70.5175, aux.loss_ce: 0.1454, aux.acc_seg: 69.0533, loss: 0.4486 +2022-06-18 23:05:41,711 - mmseg - INFO - Iter [107550/160000] lr: 2.019e-05, eta: 3:32:24, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2986, decode.acc_seg: 70.6198, aux.loss_ce: 0.1419, aux.acc_seg: 69.3147, loss: 0.4405 +2022-06-18 23:05:52,826 - mmseg - INFO - Iter [107600/160000] lr: 2.017e-05, eta: 3:32:10, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3017, decode.acc_seg: 71.8828, aux.loss_ce: 0.1419, aux.acc_seg: 70.6366, loss: 0.4436 +2022-06-18 23:06:04,186 - mmseg - INFO - Iter [107650/160000] lr: 2.016e-05, eta: 3:31:57, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3118, decode.acc_seg: 71.8695, aux.loss_ce: 0.1463, aux.acc_seg: 70.3739, loss: 0.4581 +2022-06-18 23:06:15,532 - mmseg - INFO - Iter [107700/160000] lr: 2.014e-05, eta: 3:31:43, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3130, decode.acc_seg: 69.8699, aux.loss_ce: 0.1471, aux.acc_seg: 68.3735, loss: 0.4600 +2022-06-18 23:06:26,543 - mmseg - INFO - Iter [107750/160000] lr: 2.012e-05, eta: 3:31:29, time: 0.220, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3008, decode.acc_seg: 70.0022, aux.loss_ce: 0.1418, aux.acc_seg: 68.6116, loss: 0.4426 +2022-06-18 23:06:38,062 - mmseg - INFO - Iter [107800/160000] lr: 2.010e-05, eta: 3:31:16, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3110, decode.acc_seg: 69.7224, aux.loss_ce: 0.1467, aux.acc_seg: 68.4110, loss: 0.4577 +2022-06-18 23:06:49,389 - mmseg - INFO - Iter [107850/160000] lr: 2.008e-05, eta: 3:31:02, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3077, decode.acc_seg: 70.4881, aux.loss_ce: 0.1445, aux.acc_seg: 69.1458, loss: 0.4522 +2022-06-18 23:07:01,023 - mmseg - INFO - Iter [107900/160000] lr: 2.006e-05, eta: 3:30:49, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3088, decode.acc_seg: 71.4233, aux.loss_ce: 0.1467, aux.acc_seg: 70.0256, loss: 0.4555 +2022-06-18 23:07:12,325 - mmseg - INFO - Iter [107950/160000] lr: 2.004e-05, eta: 3:30:35, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3329, decode.acc_seg: 71.0765, aux.loss_ce: 0.1551, aux.acc_seg: 69.6038, loss: 0.4880 +2022-06-18 23:07:23,677 - mmseg - INFO - Saving checkpoint at 108000 iterations +2022-06-18 23:07:24,682 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:07:24,682 - mmseg - INFO - Iter [108000/160000] lr: 2.002e-05, eta: 3:30:23, time: 0.247, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3160, decode.acc_seg: 70.8088, aux.loss_ce: 0.1489, aux.acc_seg: 69.2128, loss: 0.4649 +2022-06-18 23:07:38,116 - mmseg - INFO - Iter [108050/160000] lr: 2.000e-05, eta: 3:30:14, time: 0.269, data_time: 0.048, memory: 36327, decode.loss_ce: 0.3207, decode.acc_seg: 71.2908, aux.loss_ce: 0.1522, aux.acc_seg: 69.6810, loss: 0.4729 +2022-06-18 23:07:49,066 - mmseg - INFO - Iter [108100/160000] lr: 1.998e-05, eta: 3:29:59, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2907, decode.acc_seg: 70.6976, aux.loss_ce: 0.1392, aux.acc_seg: 69.1541, loss: 0.4298 +2022-06-18 23:08:00,434 - mmseg - INFO - Iter [108150/160000] lr: 1.996e-05, eta: 3:29:46, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2962, decode.acc_seg: 72.0696, aux.loss_ce: 0.1405, aux.acc_seg: 70.5522, loss: 0.4367 +2022-06-18 23:08:11,443 - mmseg - INFO - Iter [108200/160000] lr: 1.994e-05, eta: 3:29:32, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2990, decode.acc_seg: 70.8959, aux.loss_ce: 0.1417, aux.acc_seg: 69.3701, loss: 0.4407 +2022-06-18 23:08:22,712 - mmseg - INFO - Iter [108250/160000] lr: 1.992e-05, eta: 3:29:18, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2848, decode.acc_seg: 71.4455, aux.loss_ce: 0.1340, aux.acc_seg: 70.1740, loss: 0.4188 +2022-06-18 23:08:34,323 - mmseg - INFO - Iter [108300/160000] lr: 1.991e-05, eta: 3:29:05, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3072, decode.acc_seg: 71.3314, aux.loss_ce: 0.1476, aux.acc_seg: 69.8521, loss: 0.4547 +2022-06-18 23:08:45,880 - mmseg - INFO - Iter [108350/160000] lr: 1.989e-05, eta: 3:28:52, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3006, decode.acc_seg: 70.2764, aux.loss_ce: 0.1426, aux.acc_seg: 68.9788, loss: 0.4431 +2022-06-18 23:08:57,024 - mmseg - INFO - Iter [108400/160000] lr: 1.987e-05, eta: 3:28:38, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3051, decode.acc_seg: 69.8566, aux.loss_ce: 0.1430, aux.acc_seg: 68.5646, loss: 0.4481 +2022-06-18 23:09:08,501 - mmseg - INFO - Iter [108450/160000] lr: 1.985e-05, eta: 3:28:25, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3079, decode.acc_seg: 71.5829, aux.loss_ce: 0.1463, aux.acc_seg: 70.1008, loss: 0.4542 +2022-06-18 23:09:19,409 - mmseg - INFO - Iter [108500/160000] lr: 1.983e-05, eta: 3:28:10, time: 0.218, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3022, decode.acc_seg: 70.8194, aux.loss_ce: 0.1423, aux.acc_seg: 69.3901, loss: 0.4445 +2022-06-18 23:09:30,527 - mmseg - INFO - Iter [108550/160000] lr: 1.981e-05, eta: 3:27:57, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3153, decode.acc_seg: 71.8610, aux.loss_ce: 0.1473, aux.acc_seg: 70.6043, loss: 0.4626 +2022-06-18 23:09:41,853 - mmseg - INFO - Iter [108600/160000] lr: 1.979e-05, eta: 3:27:43, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3084, decode.acc_seg: 71.8895, aux.loss_ce: 0.1447, aux.acc_seg: 70.6315, loss: 0.4531 +2022-06-18 23:09:53,232 - mmseg - INFO - Iter [108650/160000] lr: 1.977e-05, eta: 3:27:30, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3005, decode.acc_seg: 71.5153, aux.loss_ce: 0.1414, aux.acc_seg: 70.1096, loss: 0.4419 +2022-06-18 23:10:04,521 - mmseg - INFO - Iter [108700/160000] lr: 1.975e-05, eta: 3:27:16, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2962, decode.acc_seg: 70.4103, aux.loss_ce: 0.1405, aux.acc_seg: 69.0061, loss: 0.4368 +2022-06-18 23:10:15,787 - mmseg - INFO - Iter [108750/160000] lr: 1.973e-05, eta: 3:27:02, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3112, decode.acc_seg: 71.9276, aux.loss_ce: 0.1487, aux.acc_seg: 70.2708, loss: 0.4600 +2022-06-18 23:10:26,984 - mmseg - INFO - Iter [108800/160000] lr: 1.971e-05, eta: 3:26:49, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3321, decode.acc_seg: 70.8954, aux.loss_ce: 0.1578, aux.acc_seg: 69.2801, loss: 0.4900 +2022-06-18 23:10:38,281 - mmseg - INFO - Iter [108850/160000] lr: 1.969e-05, eta: 3:26:35, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3178, decode.acc_seg: 71.0371, aux.loss_ce: 0.1486, aux.acc_seg: 69.5134, loss: 0.4664 +2022-06-18 23:10:49,337 - mmseg - INFO - Iter [108900/160000] lr: 1.967e-05, eta: 3:26:21, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3237, decode.acc_seg: 70.3581, aux.loss_ce: 0.1523, aux.acc_seg: 68.9971, loss: 0.4760 +2022-06-18 23:11:00,260 - mmseg - INFO - Iter [108950/160000] lr: 1.965e-05, eta: 3:26:07, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2925, decode.acc_seg: 72.0334, aux.loss_ce: 0.1391, aux.acc_seg: 70.6113, loss: 0.4317 +2022-06-18 23:11:11,606 - mmseg - INFO - Saving checkpoint at 109000 iterations +2022-06-18 23:11:12,603 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:11:12,604 - mmseg - INFO - Iter [109000/160000] lr: 1.964e-05, eta: 3:25:55, time: 0.247, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3057, decode.acc_seg: 71.1673, aux.loss_ce: 0.1453, aux.acc_seg: 69.6804, loss: 0.4510 +2022-06-18 23:11:23,563 - mmseg - INFO - Iter [109050/160000] lr: 1.962e-05, eta: 3:25:41, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3161, decode.acc_seg: 70.2204, aux.loss_ce: 0.1495, aux.acc_seg: 68.6652, loss: 0.4656 +2022-06-18 23:11:34,998 - mmseg - INFO - Iter [109100/160000] lr: 1.960e-05, eta: 3:25:28, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3162, decode.acc_seg: 70.5525, aux.loss_ce: 0.1509, aux.acc_seg: 69.0855, loss: 0.4672 +2022-06-18 23:11:46,492 - mmseg - INFO - Iter [109150/160000] lr: 1.958e-05, eta: 3:25:15, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3177, decode.acc_seg: 70.7116, aux.loss_ce: 0.1489, aux.acc_seg: 69.3581, loss: 0.4666 +2022-06-18 23:11:57,666 - mmseg - INFO - Iter [109200/160000] lr: 1.956e-05, eta: 3:25:01, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3200, decode.acc_seg: 70.3849, aux.loss_ce: 0.1489, aux.acc_seg: 69.1090, loss: 0.4689 +2022-06-18 23:12:08,968 - mmseg - INFO - Iter [109250/160000] lr: 1.954e-05, eta: 3:24:48, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3117, decode.acc_seg: 69.0583, aux.loss_ce: 0.1462, aux.acc_seg: 67.6362, loss: 0.4578 +2022-06-18 23:12:20,221 - mmseg - INFO - Iter [109300/160000] lr: 1.952e-05, eta: 3:24:34, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2914, decode.acc_seg: 71.1412, aux.loss_ce: 0.1384, aux.acc_seg: 69.7683, loss: 0.4298 +2022-06-18 23:12:33,850 - mmseg - INFO - Iter [109350/160000] lr: 1.950e-05, eta: 3:24:25, time: 0.272, data_time: 0.052, memory: 36327, decode.loss_ce: 0.3003, decode.acc_seg: 71.8516, aux.loss_ce: 0.1416, aux.acc_seg: 70.6082, loss: 0.4418 +2022-06-18 23:12:45,174 - mmseg - INFO - Iter [109400/160000] lr: 1.948e-05, eta: 3:24:11, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3098, decode.acc_seg: 71.4526, aux.loss_ce: 0.1455, aux.acc_seg: 70.2172, loss: 0.4553 +2022-06-18 23:12:56,525 - mmseg - INFO - Iter [109450/160000] lr: 1.946e-05, eta: 3:23:58, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3107, decode.acc_seg: 71.8217, aux.loss_ce: 0.1475, aux.acc_seg: 70.2164, loss: 0.4582 +2022-06-18 23:13:07,675 - mmseg - INFO - Iter [109500/160000] lr: 1.944e-05, eta: 3:23:44, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3229, decode.acc_seg: 71.2066, aux.loss_ce: 0.1544, aux.acc_seg: 69.5133, loss: 0.4773 +2022-06-18 23:13:18,948 - mmseg - INFO - Iter [109550/160000] lr: 1.942e-05, eta: 3:23:31, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3166, decode.acc_seg: 70.5220, aux.loss_ce: 0.1506, aux.acc_seg: 69.1924, loss: 0.4673 +2022-06-18 23:13:30,447 - mmseg - INFO - Iter [109600/160000] lr: 1.940e-05, eta: 3:23:18, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3207, decode.acc_seg: 71.4054, aux.loss_ce: 0.1515, aux.acc_seg: 69.8907, loss: 0.4722 +2022-06-18 23:13:41,763 - mmseg - INFO - Iter [109650/160000] lr: 1.939e-05, eta: 3:23:04, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3170, decode.acc_seg: 71.3560, aux.loss_ce: 0.1507, aux.acc_seg: 69.8373, loss: 0.4677 +2022-06-18 23:13:53,061 - mmseg - INFO - Iter [109700/160000] lr: 1.937e-05, eta: 3:22:51, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3019, decode.acc_seg: 71.5804, aux.loss_ce: 0.1422, aux.acc_seg: 70.2503, loss: 0.4442 +2022-06-18 23:14:04,184 - mmseg - INFO - Iter [109750/160000] lr: 1.935e-05, eta: 3:22:37, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3115, decode.acc_seg: 69.3112, aux.loss_ce: 0.1466, aux.acc_seg: 67.9830, loss: 0.4581 +2022-06-18 23:14:15,425 - mmseg - INFO - Iter [109800/160000] lr: 1.933e-05, eta: 3:22:24, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2992, decode.acc_seg: 72.0177, aux.loss_ce: 0.1435, aux.acc_seg: 70.3573, loss: 0.4428 +2022-06-18 23:14:26,608 - mmseg - INFO - Iter [109850/160000] lr: 1.931e-05, eta: 3:22:10, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3019, decode.acc_seg: 70.7284, aux.loss_ce: 0.1451, aux.acc_seg: 69.2858, loss: 0.4469 +2022-06-18 23:14:38,020 - mmseg - INFO - Iter [109900/160000] lr: 1.929e-05, eta: 3:21:57, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3139, decode.acc_seg: 70.7932, aux.loss_ce: 0.1479, aux.acc_seg: 69.3889, loss: 0.4618 +2022-06-18 23:14:49,165 - mmseg - INFO - Iter [109950/160000] lr: 1.927e-05, eta: 3:21:43, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2982, decode.acc_seg: 70.0084, aux.loss_ce: 0.1439, aux.acc_seg: 68.5997, loss: 0.4421 +2022-06-18 23:15:00,382 - mmseg - INFO - Saving checkpoint at 110000 iterations +2022-06-18 23:15:01,425 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:15:01,425 - mmseg - INFO - Iter [110000/160000] lr: 1.925e-05, eta: 3:21:31, time: 0.245, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3095, decode.acc_seg: 71.4446, aux.loss_ce: 0.1462, aux.acc_seg: 69.9316, loss: 0.4558 +2022-06-18 23:15:12,823 - mmseg - INFO - Iter [110050/160000] lr: 1.923e-05, eta: 3:21:18, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2930, decode.acc_seg: 72.2284, aux.loss_ce: 0.1410, aux.acc_seg: 70.8189, loss: 0.4339 +2022-06-18 23:15:23,953 - mmseg - INFO - Iter [110100/160000] lr: 1.921e-05, eta: 3:21:05, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2999, decode.acc_seg: 70.7251, aux.loss_ce: 0.1448, aux.acc_seg: 69.0728, loss: 0.4447 +2022-06-18 23:15:35,134 - mmseg - INFO - Iter [110150/160000] lr: 1.919e-05, eta: 3:20:51, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3044, decode.acc_seg: 70.4845, aux.loss_ce: 0.1452, aux.acc_seg: 69.0075, loss: 0.4496 +2022-06-18 23:15:46,316 - mmseg - INFO - Iter [110200/160000] lr: 1.917e-05, eta: 3:20:38, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3006, decode.acc_seg: 70.2266, aux.loss_ce: 0.1408, aux.acc_seg: 68.8768, loss: 0.4415 +2022-06-18 23:15:57,581 - mmseg - INFO - Iter [110250/160000] lr: 1.915e-05, eta: 3:20:24, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2907, decode.acc_seg: 71.0574, aux.loss_ce: 0.1395, aux.acc_seg: 69.4525, loss: 0.4302 +2022-06-18 23:16:08,949 - mmseg - INFO - Iter [110300/160000] lr: 1.914e-05, eta: 3:20:11, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2969, decode.acc_seg: 69.6629, aux.loss_ce: 0.1417, aux.acc_seg: 68.1163, loss: 0.4385 +2022-06-18 23:16:20,344 - mmseg - INFO - Iter [110350/160000] lr: 1.912e-05, eta: 3:19:58, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2979, decode.acc_seg: 70.0202, aux.loss_ce: 0.1434, aux.acc_seg: 68.5932, loss: 0.4413 +2022-06-18 23:16:31,304 - mmseg - INFO - Iter [110400/160000] lr: 1.910e-05, eta: 3:19:44, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3211, decode.acc_seg: 70.2679, aux.loss_ce: 0.1527, aux.acc_seg: 68.6725, loss: 0.4738 +2022-06-18 23:16:42,516 - mmseg - INFO - Iter [110450/160000] lr: 1.908e-05, eta: 3:19:30, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3081, decode.acc_seg: 72.0936, aux.loss_ce: 0.1446, aux.acc_seg: 70.6558, loss: 0.4527 +2022-06-18 23:16:53,718 - mmseg - INFO - Iter [110500/160000] lr: 1.906e-05, eta: 3:19:17, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3089, decode.acc_seg: 71.4899, aux.loss_ce: 0.1471, aux.acc_seg: 70.0958, loss: 0.4560 +2022-06-18 23:17:04,984 - mmseg - INFO - Iter [110550/160000] lr: 1.904e-05, eta: 3:19:04, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2871, decode.acc_seg: 70.4378, aux.loss_ce: 0.1363, aux.acc_seg: 69.0164, loss: 0.4234 +2022-06-18 23:17:18,428 - mmseg - INFO - Iter [110600/160000] lr: 1.902e-05, eta: 3:18:54, time: 0.270, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2879, decode.acc_seg: 70.9658, aux.loss_ce: 0.1385, aux.acc_seg: 69.5819, loss: 0.4264 +2022-06-18 23:17:29,733 - mmseg - INFO - Iter [110650/160000] lr: 1.900e-05, eta: 3:18:40, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2959, decode.acc_seg: 70.5098, aux.loss_ce: 0.1419, aux.acc_seg: 68.9000, loss: 0.4378 +2022-06-18 23:17:41,127 - mmseg - INFO - Iter [110700/160000] lr: 1.898e-05, eta: 3:18:27, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2987, decode.acc_seg: 72.1008, aux.loss_ce: 0.1404, aux.acc_seg: 70.6027, loss: 0.4391 +2022-06-18 23:17:52,039 - mmseg - INFO - Iter [110750/160000] lr: 1.896e-05, eta: 3:18:13, time: 0.218, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3084, decode.acc_seg: 70.7395, aux.loss_ce: 0.1457, aux.acc_seg: 69.3210, loss: 0.4541 +2022-06-18 23:18:03,216 - mmseg - INFO - Iter [110800/160000] lr: 1.894e-05, eta: 3:18:00, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3034, decode.acc_seg: 72.1076, aux.loss_ce: 0.1416, aux.acc_seg: 70.6901, loss: 0.4450 +2022-06-18 23:18:14,399 - mmseg - INFO - Iter [110850/160000] lr: 1.892e-05, eta: 3:17:46, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2929, decode.acc_seg: 71.7277, aux.loss_ce: 0.1396, aux.acc_seg: 70.3311, loss: 0.4325 +2022-06-18 23:18:25,728 - mmseg - INFO - Iter [110900/160000] lr: 1.890e-05, eta: 3:17:33, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3035, decode.acc_seg: 70.4300, aux.loss_ce: 0.1452, aux.acc_seg: 68.9480, loss: 0.4487 +2022-06-18 23:18:37,017 - mmseg - INFO - Iter [110950/160000] lr: 1.888e-05, eta: 3:17:20, time: 0.227, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2983, decode.acc_seg: 71.9189, aux.loss_ce: 0.1412, aux.acc_seg: 70.5672, loss: 0.4395 +2022-06-18 23:18:48,529 - mmseg - INFO - Saving checkpoint at 111000 iterations +2022-06-18 23:18:49,511 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:18:49,511 - mmseg - INFO - Iter [111000/160000] lr: 1.887e-05, eta: 3:17:09, time: 0.250, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3023, decode.acc_seg: 70.0884, aux.loss_ce: 0.1431, aux.acc_seg: 68.7161, loss: 0.4455 +2022-06-18 23:19:00,997 - mmseg - INFO - Iter [111050/160000] lr: 1.885e-05, eta: 3:16:56, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3088, decode.acc_seg: 71.3539, aux.loss_ce: 0.1448, aux.acc_seg: 70.1486, loss: 0.4537 +2022-06-18 23:19:12,380 - mmseg - INFO - Iter [111100/160000] lr: 1.883e-05, eta: 3:16:42, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2977, decode.acc_seg: 71.0566, aux.loss_ce: 0.1409, aux.acc_seg: 69.5942, loss: 0.4386 +2022-06-18 23:19:23,839 - mmseg - INFO - Iter [111150/160000] lr: 1.881e-05, eta: 3:16:29, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2918, decode.acc_seg: 71.5626, aux.loss_ce: 0.1386, aux.acc_seg: 70.0861, loss: 0.4304 +2022-06-18 23:19:34,958 - mmseg - INFO - Iter [111200/160000] lr: 1.879e-05, eta: 3:16:16, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3116, decode.acc_seg: 71.0044, aux.loss_ce: 0.1468, aux.acc_seg: 69.5424, loss: 0.4584 +2022-06-18 23:19:46,076 - mmseg - INFO - Iter [111250/160000] lr: 1.877e-05, eta: 3:16:02, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3160, decode.acc_seg: 70.7761, aux.loss_ce: 0.1510, aux.acc_seg: 69.2710, loss: 0.4669 +2022-06-18 23:19:57,565 - mmseg - INFO - Iter [111300/160000] lr: 1.875e-05, eta: 3:15:50, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2827, decode.acc_seg: 72.1994, aux.loss_ce: 0.1347, aux.acc_seg: 70.8667, loss: 0.4174 +2022-06-18 23:20:08,706 - mmseg - INFO - Iter [111350/160000] lr: 1.873e-05, eta: 3:15:36, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3001, decode.acc_seg: 70.5543, aux.loss_ce: 0.1415, aux.acc_seg: 69.3214, loss: 0.4417 +2022-06-18 23:20:19,860 - mmseg - INFO - Iter [111400/160000] lr: 1.871e-05, eta: 3:15:23, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3392, decode.acc_seg: 69.6385, aux.loss_ce: 0.1585, aux.acc_seg: 68.1522, loss: 0.4977 +2022-06-18 23:20:31,257 - mmseg - INFO - Iter [111450/160000] lr: 1.869e-05, eta: 3:15:10, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2832, decode.acc_seg: 71.2961, aux.loss_ce: 0.1360, aux.acc_seg: 69.7852, loss: 0.4191 +2022-06-18 23:20:42,618 - mmseg - INFO - Iter [111500/160000] lr: 1.867e-05, eta: 3:14:57, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3063, decode.acc_seg: 69.9632, aux.loss_ce: 0.1452, aux.acc_seg: 68.5985, loss: 0.4515 +2022-06-18 23:20:53,899 - mmseg - INFO - Iter [111550/160000] lr: 1.865e-05, eta: 3:14:43, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3190, decode.acc_seg: 72.1526, aux.loss_ce: 0.1503, aux.acc_seg: 70.8449, loss: 0.4694 +2022-06-18 23:21:05,120 - mmseg - INFO - Iter [111600/160000] lr: 1.863e-05, eta: 3:14:30, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3030, decode.acc_seg: 70.9903, aux.loss_ce: 0.1419, aux.acc_seg: 69.7972, loss: 0.4449 +2022-06-18 23:21:16,578 - mmseg - INFO - Iter [111650/160000] lr: 1.862e-05, eta: 3:14:17, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3070, decode.acc_seg: 69.1479, aux.loss_ce: 0.1456, aux.acc_seg: 67.7772, loss: 0.4526 +2022-06-18 23:21:27,850 - mmseg - INFO - Iter [111700/160000] lr: 1.860e-05, eta: 3:14:04, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3137, decode.acc_seg: 72.1045, aux.loss_ce: 0.1479, aux.acc_seg: 70.6133, loss: 0.4616 +2022-06-18 23:21:39,253 - mmseg - INFO - Iter [111750/160000] lr: 1.858e-05, eta: 3:13:51, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3046, decode.acc_seg: 70.9261, aux.loss_ce: 0.1425, aux.acc_seg: 69.7204, loss: 0.4471 +2022-06-18 23:21:50,536 - mmseg - INFO - Iter [111800/160000] lr: 1.856e-05, eta: 3:13:38, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2945, decode.acc_seg: 70.7678, aux.loss_ce: 0.1390, aux.acc_seg: 69.3157, loss: 0.4335 +2022-06-18 23:22:04,210 - mmseg - INFO - Iter [111850/160000] lr: 1.854e-05, eta: 3:13:28, time: 0.273, data_time: 0.051, memory: 36327, decode.loss_ce: 0.3142, decode.acc_seg: 71.4512, aux.loss_ce: 0.1472, aux.acc_seg: 70.0892, loss: 0.4614 +2022-06-18 23:22:15,874 - mmseg - INFO - Iter [111900/160000] lr: 1.852e-05, eta: 3:13:15, time: 0.234, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2949, decode.acc_seg: 71.2922, aux.loss_ce: 0.1411, aux.acc_seg: 69.8040, loss: 0.4360 +2022-06-18 23:22:27,155 - mmseg - INFO - Iter [111950/160000] lr: 1.850e-05, eta: 3:13:02, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3081, decode.acc_seg: 70.4223, aux.loss_ce: 0.1481, aux.acc_seg: 68.8797, loss: 0.4562 +2022-06-18 23:22:38,576 - mmseg - INFO - Saving checkpoint at 112000 iterations +2022-06-18 23:22:39,640 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:22:39,641 - mmseg - INFO - Iter [112000/160000] lr: 1.848e-05, eta: 3:12:51, time: 0.250, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3108, decode.acc_seg: 71.7432, aux.loss_ce: 0.1459, aux.acc_seg: 70.4685, loss: 0.4567 +2022-06-18 23:22:58,203 - mmseg - INFO - per class results: +2022-06-18 23:22:58,217 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.99 | 85.83 | +| building | 80.58 | 91.71 | +| sky | 93.91 | 97.08 | +| floor | 78.8 | 88.99 | +| tree | 73.04 | 87.47 | +| ceiling | 81.88 | 91.8 | +| road | 81.96 | 89.06 | +| bed | 85.05 | 94.61 | +| windowpane | 57.47 | 72.84 | +| grass | 65.15 | 81.18 | +| cabinet | 56.04 | 68.46 | +| sidewalk | 61.73 | 79.22 | +| person | 74.99 | 89.25 | +| earth | 31.75 | 46.5 | +| door | 42.78 | 58.63 | +| table | 50.36 | 66.49 | +| mountain | 52.69 | 66.26 | +| plant | 49.69 | 62.72 | +| curtain | 68.27 | 84.44 | +| chair | 46.15 | 59.24 | +| car | 78.81 | 89.89 | +| water | 41.62 | 50.27 | +| painting | 66.03 | 81.31 | +| sofa | 58.33 | 80.94 | +| shelf | 38.19 | 53.55 | +| house | 41.51 | 51.47 | +| sea | 57.27 | 89.87 | +| mirror | 62.4 | 73.22 | +| rug | 62.19 | 72.33 | +| field | 38.01 | 53.33 | +| armchair | 34.21 | 49.92 | +| seat | 54.09 | 73.89 | +| fence | 40.7 | 57.43 | +| desk | 44.48 | 58.96 | +| rock | 40.97 | 72.42 | +| wardrobe | 46.24 | 73.82 | +| lamp | 52.93 | 65.43 | +| bathtub | 67.94 | 75.72 | +| railing | 31.07 | 43.06 | +| cushion | 46.59 | 58.81 | +| base | 21.17 | 24.67 | +| box | 18.08 | 24.49 | +| column | 38.13 | 50.14 | +| signboard | 31.23 | 43.35 | +| chest of drawers | 37.68 | 51.5 | +| counter | 29.48 | 35.57 | +| sand | 37.67 | 59.39 | +| sink | 65.74 | 77.69 | +| skyscraper | 66.48 | 84.12 | +| fireplace | 59.94 | 76.7 | +| refrigerator | 62.61 | 78.39 | +| grandstand | 41.52 | 70.11 | +| path | 15.58 | 25.15 | +| stairs | 24.34 | 28.8 | +| runway | 69.38 | 87.45 | +| case | 34.39 | 54.37 | +| pool table | 88.66 | 95.82 | +| pillow | 56.5 | 70.5 | +| screen door | 56.4 | 65.02 | +| stairway | 27.77 | 43.36 | +| river | 9.35 | 25.99 | +| bridge | 48.95 | 61.66 | +| bookcase | 41.46 | 54.68 | +| blind | 42.01 | 46.62 | +| coffee table | 48.21 | 81.61 | +| toilet | 79.22 | 85.4 | +| flower | 31.91 | 47.33 | +| book | 42.56 | 64.16 | +| hill | 14.58 | 21.56 | +| bench | 36.72 | 44.66 | +| countertop | 56.41 | 75.51 | +| stove | 68.09 | 80.3 | +| palm | 48.27 | 64.78 | +| kitchen island | 38.54 | 79.46 | +| computer | 52.21 | 62.73 | +| swivel chair | 40.4 | 63.82 | +| boat | 59.32 | 75.38 | +| bar | 33.55 | 40.81 | +| arcade machine | 37.44 | 41.09 | +| hovel | 10.02 | 10.82 | +| bus | 70.01 | 85.95 | +| towel | 51.81 | 64.68 | +| light | 48.37 | 54.98 | +| truck | 12.12 | 15.95 | +| tower | 32.02 | 53.56 | +| chandelier | 60.25 | 79.3 | +| awning | 19.84 | 28.17 | +| streetlight | 17.24 | 21.83 | +| booth | 63.45 | 67.75 | +| television receiver | 47.35 | 74.25 | +| airplane | 57.45 | 68.7 | +| dirt track | 2.56 | 7.17 | +| apparel | 40.65 | 60.93 | +| pole | 19.74 | 28.42 | +| land | 2.09 | 3.36 | +| bannister | 3.56 | 4.94 | +| escalator | 13.21 | 14.86 | +| ottoman | 32.94 | 47.63 | +| bottle | 26.76 | 49.51 | +| buffet | 36.14 | 48.68 | +| poster | 23.8 | 27.54 | +| stage | 10.14 | 18.14 | +| van | 27.59 | 32.38 | +| ship | 61.39 | 72.32 | +| fountain | 26.86 | 33.26 | +| conveyer belt | 64.45 | 86.19 | +| canopy | 26.7 | 30.98 | +| washer | 66.06 | 72.34 | +| plaything | 17.3 | 31.28 | +| swimming pool | 47.6 | 68.39 | +| stool | 22.43 | 30.69 | +| barrel | 21.5 | 47.63 | +| basket | 19.79 | 23.88 | +| waterfall | 65.89 | 91.26 | +| tent | 84.02 | 98.6 | +| bag | 4.55 | 6.1 | +| minibike | 42.62 | 49.79 | +| cradle | 72.45 | 93.04 | +| oven | 18.44 | 39.03 | +| ball | 46.22 | 63.97 | +| food | 53.67 | 76.36 | +| step | 7.45 | 8.72 | +| tank | 42.34 | 48.32 | +| trade name | 22.56 | 26.51 | +| microwave | 36.52 | 40.92 | +| pot | 30.49 | 36.15 | +| animal | 55.34 | 60.1 | +| bicycle | 40.53 | 70.71 | +| lake | 60.1 | 63.6 | +| dishwasher | 46.72 | 60.97 | +| screen | 60.83 | 82.56 | +| blanket | 4.55 | 4.85 | +| sculpture | 38.72 | 49.89 | +| hood | 61.22 | 74.48 | +| sconce | 38.99 | 49.4 | +| vase | 25.67 | 35.53 | +| traffic light | 22.75 | 34.33 | +| tray | 5.64 | 9.3 | +| ashcan | 28.04 | 33.41 | +| fan | 49.08 | 62.43 | +| pier | 25.5 | 40.11 | +| crt screen | 23.76 | 30.0 | +| plate | 44.03 | 55.67 | +| monitor | 50.29 | 75.63 | +| bulletin board | 31.65 | 42.86 | +| shower | 0.65 | 1.22 | +| radiator | 45.92 | 48.39 | +| glass | 5.51 | 6.38 | +| clock | 14.95 | 17.1 | +| flag | 30.88 | 33.04 | ++---------------------+-------+-------+ +2022-06-18 23:22:58,217 - mmseg - INFO - Summary: +2022-06-18 23:22:58,217 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 80.53 | 43.09 | 55.59 | ++-------+-------+-------+ +2022-06-18 23:22:58,219 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_96000.pth was removed +2022-06-18 23:22:59,072 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. +2022-06-18 23:22:59,072 - mmseg - INFO - Best mIoU is 0.4309 at 112000 iter. +2022-06-18 23:22:59,081 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:22:59,081 - mmseg - INFO - Iter(val) [250] aAcc: 0.8053, mIoU: 0.4309, mAcc: 0.5559, IoU.wall: 0.7399, IoU.building: 0.8058, IoU.sky: 0.9391, IoU.floor: 0.7880, IoU.tree: 0.7304, IoU.ceiling: 0.8188, IoU.road: 0.8196, IoU.bed : 0.8505, IoU.windowpane: 0.5747, IoU.grass: 0.6515, IoU.cabinet: 0.5604, IoU.sidewalk: 0.6173, IoU.person: 0.7499, IoU.earth: 0.3175, IoU.door: 0.4278, IoU.table: 0.5036, IoU.mountain: 0.5269, IoU.plant: 0.4969, IoU.curtain: 0.6827, IoU.chair: 0.4615, IoU.car: 0.7881, IoU.water: 0.4162, IoU.painting: 0.6603, IoU.sofa: 0.5833, IoU.shelf: 0.3819, IoU.house: 0.4151, IoU.sea: 0.5727, IoU.mirror: 0.6240, IoU.rug: 0.6219, IoU.field: 0.3801, IoU.armchair: 0.3421, IoU.seat: 0.5409, IoU.fence: 0.4070, IoU.desk: 0.4448, IoU.rock: 0.4097, IoU.wardrobe: 0.4624, IoU.lamp: 0.5293, IoU.bathtub: 0.6794, IoU.railing: 0.3107, IoU.cushion: 0.4659, IoU.base: 0.2117, IoU.box: 0.1808, IoU.column: 0.3813, IoU.signboard: 0.3123, IoU.chest of drawers: 0.3768, IoU.counter: 0.2948, IoU.sand: 0.3767, IoU.sink: 0.6574, IoU.skyscraper: 0.6648, IoU.fireplace: 0.5994, IoU.refrigerator: 0.6261, IoU.grandstand: 0.4152, IoU.path: 0.1558, IoU.stairs: 0.2434, IoU.runway: 0.6938, IoU.case: 0.3439, IoU.pool table: 0.8866, IoU.pillow: 0.5650, IoU.screen door: 0.5640, IoU.stairway: 0.2777, IoU.river: 0.0935, IoU.bridge: 0.4895, IoU.bookcase: 0.4146, IoU.blind: 0.4201, IoU.coffee table: 0.4821, IoU.toilet: 0.7922, IoU.flower: 0.3191, IoU.book: 0.4256, IoU.hill: 0.1458, IoU.bench: 0.3672, IoU.countertop: 0.5641, IoU.stove: 0.6809, IoU.palm: 0.4827, IoU.kitchen island: 0.3854, IoU.computer: 0.5221, IoU.swivel chair: 0.4040, IoU.boat: 0.5932, IoU.bar: 0.3355, IoU.arcade machine: 0.3744, IoU.hovel: 0.1002, IoU.bus: 0.7001, IoU.towel: 0.5181, IoU.light: 0.4837, IoU.truck: 0.1212, IoU.tower: 0.3202, IoU.chandelier: 0.6025, IoU.awning: 0.1984, IoU.streetlight: 0.1724, IoU.booth: 0.6345, IoU.television receiver: 0.4735, IoU.airplane: 0.5745, IoU.dirt track: 0.0256, IoU.apparel: 0.4065, IoU.pole: 0.1974, IoU.land: 0.0209, IoU.bannister: 0.0356, IoU.escalator: 0.1321, IoU.ottoman: 0.3294, IoU.bottle: 0.2676, IoU.buffet: 0.3614, IoU.poster: 0.2380, IoU.stage: 0.1014, IoU.van: 0.2759, IoU.ship: 0.6139, IoU.fountain: 0.2686, IoU.conveyer belt: 0.6445, IoU.canopy: 0.2670, IoU.washer: 0.6606, IoU.plaything: 0.1730, IoU.swimming pool: 0.4760, IoU.stool: 0.2243, IoU.barrel: 0.2150, IoU.basket: 0.1979, IoU.waterfall: 0.6589, IoU.tent: 0.8402, IoU.bag: 0.0455, IoU.minibike: 0.4262, IoU.cradle: 0.7245, IoU.oven: 0.1844, IoU.ball: 0.4622, IoU.food: 0.5367, IoU.step: 0.0745, IoU.tank: 0.4234, IoU.trade name: 0.2256, IoU.microwave: 0.3652, IoU.pot: 0.3049, IoU.animal: 0.5534, IoU.bicycle: 0.4053, IoU.lake: 0.6010, IoU.dishwasher: 0.4672, IoU.screen: 0.6083, IoU.blanket: 0.0455, IoU.sculpture: 0.3872, IoU.hood: 0.6122, IoU.sconce: 0.3899, IoU.vase: 0.2567, IoU.traffic light: 0.2275, IoU.tray: 0.0564, IoU.ashcan: 0.2804, IoU.fan: 0.4908, IoU.pier: 0.2550, IoU.crt screen: 0.2376, IoU.plate: 0.4403, IoU.monitor: 0.5029, IoU.bulletin board: 0.3165, IoU.shower: 0.0065, IoU.radiator: 0.4592, IoU.glass: 0.0551, IoU.clock: 0.1495, IoU.flag: 0.3088, Acc.wall: 0.8583, Acc.building: 0.9171, Acc.sky: 0.9708, Acc.floor: 0.8899, Acc.tree: 0.8747, Acc.ceiling: 0.9180, Acc.road: 0.8906, Acc.bed : 0.9461, Acc.windowpane: 0.7284, Acc.grass: 0.8118, Acc.cabinet: 0.6846, Acc.sidewalk: 0.7922, Acc.person: 0.8925, Acc.earth: 0.4650, Acc.door: 0.5863, Acc.table: 0.6649, Acc.mountain: 0.6626, Acc.plant: 0.6272, Acc.curtain: 0.8444, Acc.chair: 0.5924, Acc.car: 0.8989, Acc.water: 0.5027, Acc.painting: 0.8131, Acc.sofa: 0.8094, Acc.shelf: 0.5355, Acc.house: 0.5147, Acc.sea: 0.8987, Acc.mirror: 0.7322, Acc.rug: 0.7233, Acc.field: 0.5333, Acc.armchair: 0.4992, Acc.seat: 0.7389, Acc.fence: 0.5743, Acc.desk: 0.5896, Acc.rock: 0.7242, Acc.wardrobe: 0.7382, Acc.lamp: 0.6543, Acc.bathtub: 0.7572, Acc.railing: 0.4306, Acc.cushion: 0.5881, Acc.base: 0.2467, Acc.box: 0.2449, Acc.column: 0.5014, Acc.signboard: 0.4335, Acc.chest of drawers: 0.5150, Acc.counter: 0.3557, Acc.sand: 0.5939, Acc.sink: 0.7769, Acc.skyscraper: 0.8412, Acc.fireplace: 0.7670, Acc.refrigerator: 0.7839, Acc.grandstand: 0.7011, Acc.path: 0.2515, Acc.stairs: 0.2880, Acc.runway: 0.8745, Acc.case: 0.5437, Acc.pool table: 0.9582, Acc.pillow: 0.7050, Acc.screen door: 0.6502, Acc.stairway: 0.4336, Acc.river: 0.2599, Acc.bridge: 0.6166, Acc.bookcase: 0.5468, Acc.blind: 0.4662, Acc.coffee table: 0.8161, Acc.toilet: 0.8540, Acc.flower: 0.4733, Acc.book: 0.6416, Acc.hill: 0.2156, Acc.bench: 0.4466, Acc.countertop: 0.7551, Acc.stove: 0.8030, Acc.palm: 0.6478, Acc.kitchen island: 0.7946, Acc.computer: 0.6273, Acc.swivel chair: 0.6382, Acc.boat: 0.7538, Acc.bar: 0.4081, Acc.arcade machine: 0.4109, Acc.hovel: 0.1082, Acc.bus: 0.8595, Acc.towel: 0.6468, Acc.light: 0.5498, Acc.truck: 0.1595, Acc.tower: 0.5356, Acc.chandelier: 0.7930, Acc.awning: 0.2817, Acc.streetlight: 0.2183, Acc.booth: 0.6775, Acc.television receiver: 0.7425, Acc.airplane: 0.6870, Acc.dirt track: 0.0717, Acc.apparel: 0.6093, Acc.pole: 0.2842, Acc.land: 0.0336, Acc.bannister: 0.0494, Acc.escalator: 0.1486, Acc.ottoman: 0.4763, Acc.bottle: 0.4951, Acc.buffet: 0.4868, Acc.poster: 0.2754, Acc.stage: 0.1814, Acc.van: 0.3238, Acc.ship: 0.7232, Acc.fountain: 0.3326, Acc.conveyer belt: 0.8619, Acc.canopy: 0.3098, Acc.washer: 0.7234, Acc.plaything: 0.3128, Acc.swimming pool: 0.6839, Acc.stool: 0.3069, Acc.barrel: 0.4763, Acc.basket: 0.2388, Acc.waterfall: 0.9126, Acc.tent: 0.9860, Acc.bag: 0.0610, Acc.minibike: 0.4979, Acc.cradle: 0.9304, Acc.oven: 0.3903, Acc.ball: 0.6397, Acc.food: 0.7636, Acc.step: 0.0872, Acc.tank: 0.4832, Acc.trade name: 0.2651, Acc.microwave: 0.4092, Acc.pot: 0.3615, Acc.animal: 0.6010, Acc.bicycle: 0.7071, Acc.lake: 0.6360, Acc.dishwasher: 0.6097, Acc.screen: 0.8256, Acc.blanket: 0.0485, Acc.sculpture: 0.4989, Acc.hood: 0.7448, Acc.sconce: 0.4940, Acc.vase: 0.3553, Acc.traffic light: 0.3433, Acc.tray: 0.0930, Acc.ashcan: 0.3341, Acc.fan: 0.6243, Acc.pier: 0.4011, Acc.crt screen: 0.3000, Acc.plate: 0.5567, Acc.monitor: 0.7563, Acc.bulletin board: 0.4286, Acc.shower: 0.0122, Acc.radiator: 0.4839, Acc.glass: 0.0638, Acc.clock: 0.1710, Acc.flag: 0.3304 +2022-06-18 23:23:10,179 - mmseg - INFO - Iter [112050/160000] lr: 1.846e-05, eta: 3:13:05, time: 0.611, data_time: 0.392, memory: 36327, decode.loss_ce: 0.2859, decode.acc_seg: 71.2647, aux.loss_ce: 0.1364, aux.acc_seg: 69.8114, loss: 0.4223 +2022-06-18 23:23:21,451 - mmseg - INFO - Iter [112100/160000] lr: 1.844e-05, eta: 3:12:52, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2842, decode.acc_seg: 71.1257, aux.loss_ce: 0.1360, aux.acc_seg: 69.7430, loss: 0.4201 +2022-06-18 23:23:32,526 - mmseg - INFO - Iter [112150/160000] lr: 1.842e-05, eta: 3:12:39, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3276, decode.acc_seg: 70.3994, aux.loss_ce: 0.1534, aux.acc_seg: 69.0078, loss: 0.4810 +2022-06-18 23:23:43,873 - mmseg - INFO - Iter [112200/160000] lr: 1.840e-05, eta: 3:12:26, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2845, decode.acc_seg: 71.0433, aux.loss_ce: 0.1354, aux.acc_seg: 69.5501, loss: 0.4199 +2022-06-18 23:23:55,305 - mmseg - INFO - Iter [112250/160000] lr: 1.838e-05, eta: 3:12:13, time: 0.229, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2835, decode.acc_seg: 72.0742, aux.loss_ce: 0.1365, aux.acc_seg: 70.4837, loss: 0.4201 +2022-06-18 23:24:06,594 - mmseg - INFO - Iter [112300/160000] lr: 1.837e-05, eta: 3:11:59, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2968, decode.acc_seg: 70.4330, aux.loss_ce: 0.1417, aux.acc_seg: 68.9646, loss: 0.4385 +2022-06-18 23:24:18,115 - mmseg - INFO - Iter [112350/160000] lr: 1.835e-05, eta: 3:11:46, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3096, decode.acc_seg: 71.5061, aux.loss_ce: 0.1453, aux.acc_seg: 70.1875, loss: 0.4549 +2022-06-18 23:24:29,195 - mmseg - INFO - Iter [112400/160000] lr: 1.833e-05, eta: 3:11:33, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2943, decode.acc_seg: 70.9262, aux.loss_ce: 0.1401, aux.acc_seg: 69.5046, loss: 0.4344 +2022-06-18 23:24:40,701 - mmseg - INFO - Iter [112450/160000] lr: 1.831e-05, eta: 3:11:20, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3077, decode.acc_seg: 71.8796, aux.loss_ce: 0.1471, aux.acc_seg: 70.3672, loss: 0.4548 +2022-06-18 23:24:52,180 - mmseg - INFO - Iter [112500/160000] lr: 1.829e-05, eta: 3:11:07, time: 0.230, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2966, decode.acc_seg: 70.5291, aux.loss_ce: 0.1424, aux.acc_seg: 69.2294, loss: 0.4390 +2022-06-18 23:25:03,706 - mmseg - INFO - Iter [112550/160000] lr: 1.827e-05, eta: 3:10:54, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3220, decode.acc_seg: 70.9108, aux.loss_ce: 0.1511, aux.acc_seg: 69.4593, loss: 0.4731 +2022-06-18 23:25:14,970 - mmseg - INFO - Iter [112600/160000] lr: 1.825e-05, eta: 3:10:41, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2963, decode.acc_seg: 69.4828, aux.loss_ce: 0.1403, aux.acc_seg: 68.1340, loss: 0.4366 +2022-06-18 23:25:26,289 - mmseg - INFO - Iter [112650/160000] lr: 1.823e-05, eta: 3:10:28, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3119, decode.acc_seg: 71.0295, aux.loss_ce: 0.1493, aux.acc_seg: 69.5447, loss: 0.4612 +2022-06-18 23:25:37,534 - mmseg - INFO - Iter [112700/160000] lr: 1.821e-05, eta: 3:10:15, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3021, decode.acc_seg: 71.2641, aux.loss_ce: 0.1442, aux.acc_seg: 69.9042, loss: 0.4464 +2022-06-18 23:25:48,846 - mmseg - INFO - Iter [112750/160000] lr: 1.819e-05, eta: 3:10:02, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2954, decode.acc_seg: 72.5057, aux.loss_ce: 0.1392, aux.acc_seg: 71.1224, loss: 0.4345 +2022-06-18 23:26:00,088 - mmseg - INFO - Iter [112800/160000] lr: 1.817e-05, eta: 3:09:48, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2988, decode.acc_seg: 71.0408, aux.loss_ce: 0.1403, aux.acc_seg: 69.8774, loss: 0.4391 +2022-06-18 23:26:11,144 - mmseg - INFO - Iter [112850/160000] lr: 1.815e-05, eta: 3:09:35, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3186, decode.acc_seg: 72.3371, aux.loss_ce: 0.1502, aux.acc_seg: 71.0239, loss: 0.4688 +2022-06-18 23:26:22,563 - mmseg - INFO - Iter [112900/160000] lr: 1.813e-05, eta: 3:09:22, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2907, decode.acc_seg: 71.6070, aux.loss_ce: 0.1375, aux.acc_seg: 70.2982, loss: 0.4282 +2022-06-18 23:26:33,650 - mmseg - INFO - Iter [112950/160000] lr: 1.811e-05, eta: 3:09:09, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3184, decode.acc_seg: 71.5600, aux.loss_ce: 0.1521, aux.acc_seg: 70.1119, loss: 0.4704 +2022-06-18 23:26:45,004 - mmseg - INFO - Saving checkpoint at 113000 iterations +2022-06-18 23:26:45,994 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:26:45,994 - mmseg - INFO - Iter [113000/160000] lr: 1.810e-05, eta: 3:08:57, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3226, decode.acc_seg: 70.6960, aux.loss_ce: 0.1539, aux.acc_seg: 68.9695, loss: 0.4765 +2022-06-18 23:26:57,271 - mmseg - INFO - Iter [113050/160000] lr: 1.808e-05, eta: 3:08:44, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3046, decode.acc_seg: 71.6769, aux.loss_ce: 0.1456, aux.acc_seg: 69.9959, loss: 0.4502 +2022-06-18 23:27:08,445 - mmseg - INFO - Iter [113100/160000] lr: 1.806e-05, eta: 3:08:31, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2697, decode.acc_seg: 72.1060, aux.loss_ce: 0.1301, aux.acc_seg: 70.6496, loss: 0.3998 +2022-06-18 23:27:22,144 - mmseg - INFO - Iter [113150/160000] lr: 1.804e-05, eta: 3:08:21, time: 0.274, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3009, decode.acc_seg: 71.8024, aux.loss_ce: 0.1441, aux.acc_seg: 70.3733, loss: 0.4450 +2022-06-18 23:27:33,546 - mmseg - INFO - Iter [113200/160000] lr: 1.802e-05, eta: 3:08:08, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2833, decode.acc_seg: 71.3837, aux.loss_ce: 0.1353, aux.acc_seg: 69.9594, loss: 0.4186 +2022-06-18 23:27:44,765 - mmseg - INFO - Iter [113250/160000] lr: 1.800e-05, eta: 3:07:55, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2914, decode.acc_seg: 71.6128, aux.loss_ce: 0.1396, aux.acc_seg: 70.1592, loss: 0.4310 +2022-06-18 23:27:56,322 - mmseg - INFO - Iter [113300/160000] lr: 1.798e-05, eta: 3:07:42, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2993, decode.acc_seg: 71.1741, aux.loss_ce: 0.1427, aux.acc_seg: 69.5329, loss: 0.4420 +2022-06-18 23:28:07,509 - mmseg - INFO - Iter [113350/160000] lr: 1.796e-05, eta: 3:07:29, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2943, decode.acc_seg: 71.4495, aux.loss_ce: 0.1384, aux.acc_seg: 70.2114, loss: 0.4327 +2022-06-18 23:28:18,717 - mmseg - INFO - Iter [113400/160000] lr: 1.794e-05, eta: 3:07:15, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3141, decode.acc_seg: 71.2736, aux.loss_ce: 0.1490, aux.acc_seg: 69.6981, loss: 0.4631 +2022-06-18 23:28:29,872 - mmseg - INFO - Iter [113450/160000] lr: 1.792e-05, eta: 3:07:02, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2934, decode.acc_seg: 69.6367, aux.loss_ce: 0.1406, aux.acc_seg: 68.0701, loss: 0.4340 +2022-06-18 23:28:40,984 - mmseg - INFO - Iter [113500/160000] lr: 1.790e-05, eta: 3:06:49, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3111, decode.acc_seg: 71.4257, aux.loss_ce: 0.1502, aux.acc_seg: 69.7947, loss: 0.4613 +2022-06-18 23:28:52,345 - mmseg - INFO - Iter [113550/160000] lr: 1.788e-05, eta: 3:06:36, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2791, decode.acc_seg: 71.1263, aux.loss_ce: 0.1323, aux.acc_seg: 69.8799, loss: 0.4114 +2022-06-18 23:29:03,553 - mmseg - INFO - Iter [113600/160000] lr: 1.786e-05, eta: 3:06:23, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2753, decode.acc_seg: 71.7773, aux.loss_ce: 0.1330, aux.acc_seg: 70.3603, loss: 0.4083 +2022-06-18 23:29:14,706 - mmseg - INFO - Iter [113650/160000] lr: 1.785e-05, eta: 3:06:09, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3010, decode.acc_seg: 71.8137, aux.loss_ce: 0.1467, aux.acc_seg: 70.1132, loss: 0.4477 +2022-06-18 23:29:25,923 - mmseg - INFO - Iter [113700/160000] lr: 1.783e-05, eta: 3:05:56, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2973, decode.acc_seg: 72.4152, aux.loss_ce: 0.1429, aux.acc_seg: 70.9444, loss: 0.4401 +2022-06-18 23:29:37,163 - mmseg - INFO - Iter [113750/160000] lr: 1.781e-05, eta: 3:05:43, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3117, decode.acc_seg: 71.1037, aux.loss_ce: 0.1492, aux.acc_seg: 69.6084, loss: 0.4609 +2022-06-18 23:29:48,379 - mmseg - INFO - Iter [113800/160000] lr: 1.779e-05, eta: 3:05:30, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2887, decode.acc_seg: 71.8002, aux.loss_ce: 0.1372, aux.acc_seg: 70.4126, loss: 0.4258 +2022-06-18 23:29:59,523 - mmseg - INFO - Iter [113850/160000] lr: 1.777e-05, eta: 3:05:17, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2882, decode.acc_seg: 70.8274, aux.loss_ce: 0.1358, aux.acc_seg: 69.5388, loss: 0.4240 +2022-06-18 23:30:11,096 - mmseg - INFO - Iter [113900/160000] lr: 1.775e-05, eta: 3:05:04, time: 0.231, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3069, decode.acc_seg: 69.8066, aux.loss_ce: 0.1463, aux.acc_seg: 68.3781, loss: 0.4531 +2022-06-18 23:30:22,251 - mmseg - INFO - Iter [113950/160000] lr: 1.773e-05, eta: 3:04:51, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2952, decode.acc_seg: 72.5542, aux.loss_ce: 0.1402, aux.acc_seg: 71.0917, loss: 0.4354 +2022-06-18 23:30:33,802 - mmseg - INFO - Saving checkpoint at 114000 iterations +2022-06-18 23:30:34,797 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:30:34,797 - mmseg - INFO - Iter [114000/160000] lr: 1.771e-05, eta: 3:04:39, time: 0.251, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3006, decode.acc_seg: 69.9464, aux.loss_ce: 0.1424, aux.acc_seg: 68.6255, loss: 0.4430 +2022-06-18 23:30:46,297 - mmseg - INFO - Iter [114050/160000] lr: 1.769e-05, eta: 3:04:27, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2964, decode.acc_seg: 71.9195, aux.loss_ce: 0.1407, aux.acc_seg: 70.6077, loss: 0.4371 +2022-06-18 23:30:57,423 - mmseg - INFO - Iter [114100/160000] lr: 1.767e-05, eta: 3:04:13, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3068, decode.acc_seg: 70.9735, aux.loss_ce: 0.1459, aux.acc_seg: 69.4188, loss: 0.4527 +2022-06-18 23:31:08,748 - mmseg - INFO - Iter [114150/160000] lr: 1.765e-05, eta: 3:04:00, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3086, decode.acc_seg: 71.8760, aux.loss_ce: 0.1496, aux.acc_seg: 70.1053, loss: 0.4582 +2022-06-18 23:31:20,138 - mmseg - INFO - Iter [114200/160000] lr: 1.763e-05, eta: 3:03:48, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3017, decode.acc_seg: 70.5279, aux.loss_ce: 0.1454, aux.acc_seg: 68.8870, loss: 0.4471 +2022-06-18 23:31:31,353 - mmseg - INFO - Iter [114250/160000] lr: 1.761e-05, eta: 3:03:34, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3008, decode.acc_seg: 70.6520, aux.loss_ce: 0.1422, aux.acc_seg: 69.3315, loss: 0.4430 +2022-06-18 23:31:42,699 - mmseg - INFO - Iter [114300/160000] lr: 1.760e-05, eta: 3:03:21, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2944, decode.acc_seg: 70.6276, aux.loss_ce: 0.1413, aux.acc_seg: 69.0534, loss: 0.4357 +2022-06-18 23:31:54,017 - mmseg - INFO - Iter [114350/160000] lr: 1.758e-05, eta: 3:03:09, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2823, decode.acc_seg: 70.1511, aux.loss_ce: 0.1357, aux.acc_seg: 68.6725, loss: 0.4181 +2022-06-18 23:32:07,626 - mmseg - INFO - Iter [114400/160000] lr: 1.756e-05, eta: 3:02:59, time: 0.273, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2880, decode.acc_seg: 70.1912, aux.loss_ce: 0.1385, aux.acc_seg: 68.7015, loss: 0.4265 +2022-06-18 23:32:18,989 - mmseg - INFO - Iter [114450/160000] lr: 1.754e-05, eta: 3:02:46, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2953, decode.acc_seg: 70.7891, aux.loss_ce: 0.1433, aux.acc_seg: 69.1589, loss: 0.4385 +2022-06-18 23:32:30,222 - mmseg - INFO - Iter [114500/160000] lr: 1.752e-05, eta: 3:02:33, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2808, decode.acc_seg: 71.4954, aux.loss_ce: 0.1346, aux.acc_seg: 70.0226, loss: 0.4154 +2022-06-18 23:32:41,279 - mmseg - INFO - Iter [114550/160000] lr: 1.750e-05, eta: 3:02:19, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2906, decode.acc_seg: 72.5381, aux.loss_ce: 0.1402, aux.acc_seg: 71.1386, loss: 0.4307 +2022-06-18 23:32:52,600 - mmseg - INFO - Iter [114600/160000] lr: 1.748e-05, eta: 3:02:06, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2900, decode.acc_seg: 71.0635, aux.loss_ce: 0.1391, aux.acc_seg: 69.6467, loss: 0.4291 +2022-06-18 23:33:04,055 - mmseg - INFO - Iter [114650/160000] lr: 1.746e-05, eta: 3:01:54, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2810, decode.acc_seg: 72.3486, aux.loss_ce: 0.1321, aux.acc_seg: 71.1476, loss: 0.4131 +2022-06-18 23:33:15,431 - mmseg - INFO - Iter [114700/160000] lr: 1.744e-05, eta: 3:01:41, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3000, decode.acc_seg: 71.7248, aux.loss_ce: 0.1416, aux.acc_seg: 70.3609, loss: 0.4417 +2022-06-18 23:33:26,629 - mmseg - INFO - Iter [114750/160000] lr: 1.742e-05, eta: 3:01:28, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3102, decode.acc_seg: 70.7299, aux.loss_ce: 0.1485, aux.acc_seg: 69.1698, loss: 0.4586 +2022-06-18 23:33:37,784 - mmseg - INFO - Iter [114800/160000] lr: 1.740e-05, eta: 3:01:14, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2900, decode.acc_seg: 72.9773, aux.loss_ce: 0.1402, aux.acc_seg: 71.5923, loss: 0.4303 +2022-06-18 23:33:49,174 - mmseg - INFO - Iter [114850/160000] lr: 1.738e-05, eta: 3:01:02, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2671, decode.acc_seg: 71.6872, aux.loss_ce: 0.1299, aux.acc_seg: 70.1205, loss: 0.3970 +2022-06-18 23:34:00,403 - mmseg - INFO - Iter [114900/160000] lr: 1.736e-05, eta: 3:00:49, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3006, decode.acc_seg: 71.0680, aux.loss_ce: 0.1417, aux.acc_seg: 69.7478, loss: 0.4423 +2022-06-18 23:34:11,648 - mmseg - INFO - Iter [114950/160000] lr: 1.734e-05, eta: 3:00:36, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2950, decode.acc_seg: 70.7817, aux.loss_ce: 0.1392, aux.acc_seg: 69.4343, loss: 0.4343 +2022-06-18 23:34:23,168 - mmseg - INFO - Saving checkpoint at 115000 iterations +2022-06-18 23:34:24,144 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:34:24,144 - mmseg - INFO - Iter [115000/160000] lr: 1.733e-05, eta: 3:00:24, time: 0.250, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3077, decode.acc_seg: 71.4637, aux.loss_ce: 0.1447, aux.acc_seg: 69.9457, loss: 0.4524 +2022-06-18 23:34:35,405 - mmseg - INFO - Iter [115050/160000] lr: 1.731e-05, eta: 3:00:11, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3091, decode.acc_seg: 71.2438, aux.loss_ce: 0.1452, aux.acc_seg: 70.0241, loss: 0.4543 +2022-06-18 23:34:46,822 - mmseg - INFO - Iter [115100/160000] lr: 1.729e-05, eta: 2:59:58, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2935, decode.acc_seg: 70.7577, aux.loss_ce: 0.1389, aux.acc_seg: 69.4174, loss: 0.4324 +2022-06-18 23:34:58,351 - mmseg - INFO - Iter [115150/160000] lr: 1.727e-05, eta: 2:59:46, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2822, decode.acc_seg: 70.2331, aux.loss_ce: 0.1344, aux.acc_seg: 68.8713, loss: 0.4166 +2022-06-18 23:35:09,679 - mmseg - INFO - Iter [115200/160000] lr: 1.725e-05, eta: 2:59:33, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3139, decode.acc_seg: 72.1045, aux.loss_ce: 0.1507, aux.acc_seg: 70.3686, loss: 0.4646 +2022-06-18 23:35:21,056 - mmseg - INFO - Iter [115250/160000] lr: 1.723e-05, eta: 2:59:20, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2930, decode.acc_seg: 72.1615, aux.loss_ce: 0.1404, aux.acc_seg: 70.6620, loss: 0.4334 +2022-06-18 23:35:32,548 - mmseg - INFO - Iter [115300/160000] lr: 1.721e-05, eta: 2:59:07, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2900, decode.acc_seg: 72.5274, aux.loss_ce: 0.1371, aux.acc_seg: 71.1338, loss: 0.4271 +2022-06-18 23:35:43,938 - mmseg - INFO - Iter [115350/160000] lr: 1.719e-05, eta: 2:58:55, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3167, decode.acc_seg: 71.0305, aux.loss_ce: 0.1482, aux.acc_seg: 69.7231, loss: 0.4649 +2022-06-18 23:35:55,091 - mmseg - INFO - Iter [115400/160000] lr: 1.717e-05, eta: 2:58:41, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2685, decode.acc_seg: 71.7736, aux.loss_ce: 0.1280, aux.acc_seg: 70.4310, loss: 0.3965 +2022-06-18 23:36:06,496 - mmseg - INFO - Iter [115450/160000] lr: 1.715e-05, eta: 2:58:29, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2939, decode.acc_seg: 71.8614, aux.loss_ce: 0.1424, aux.acc_seg: 70.2076, loss: 0.4363 +2022-06-18 23:36:17,916 - mmseg - INFO - Iter [115500/160000] lr: 1.713e-05, eta: 2:58:16, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3122, decode.acc_seg: 71.1642, aux.loss_ce: 0.1492, aux.acc_seg: 69.8410, loss: 0.4614 +2022-06-18 23:36:29,308 - mmseg - INFO - Iter [115550/160000] lr: 1.711e-05, eta: 2:58:03, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3048, decode.acc_seg: 71.5853, aux.loss_ce: 0.1478, aux.acc_seg: 70.0779, loss: 0.4525 +2022-06-18 23:36:40,603 - mmseg - INFO - Iter [115600/160000] lr: 1.709e-05, eta: 2:57:50, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2938, decode.acc_seg: 70.8013, aux.loss_ce: 0.1432, aux.acc_seg: 69.2214, loss: 0.4370 +2022-06-18 23:36:54,527 - mmseg - INFO - Iter [115650/160000] lr: 1.708e-05, eta: 2:57:41, time: 0.279, data_time: 0.052, memory: 36327, decode.loss_ce: 0.3109, decode.acc_seg: 70.1873, aux.loss_ce: 0.1469, aux.acc_seg: 68.8245, loss: 0.4577 +2022-06-18 23:37:05,869 - mmseg - INFO - Iter [115700/160000] lr: 1.706e-05, eta: 2:57:28, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2822, decode.acc_seg: 72.0350, aux.loss_ce: 0.1344, aux.acc_seg: 70.5596, loss: 0.4166 +2022-06-18 23:37:17,291 - mmseg - INFO - Iter [115750/160000] lr: 1.704e-05, eta: 2:57:15, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2837, decode.acc_seg: 71.8306, aux.loss_ce: 0.1359, aux.acc_seg: 70.4884, loss: 0.4196 +2022-06-18 23:37:28,675 - mmseg - INFO - Iter [115800/160000] lr: 1.702e-05, eta: 2:57:02, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2947, decode.acc_seg: 73.3455, aux.loss_ce: 0.1399, aux.acc_seg: 71.7340, loss: 0.4346 +2022-06-18 23:37:39,761 - mmseg - INFO - Iter [115850/160000] lr: 1.700e-05, eta: 2:56:49, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2916, decode.acc_seg: 72.0341, aux.loss_ce: 0.1384, aux.acc_seg: 70.7976, loss: 0.4300 +2022-06-18 23:37:51,150 - mmseg - INFO - Iter [115900/160000] lr: 1.698e-05, eta: 2:56:36, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2913, decode.acc_seg: 71.0870, aux.loss_ce: 0.1375, aux.acc_seg: 69.7911, loss: 0.4288 +2022-06-18 23:38:02,291 - mmseg - INFO - Iter [115950/160000] lr: 1.696e-05, eta: 2:56:23, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2877, decode.acc_seg: 71.5177, aux.loss_ce: 0.1378, aux.acc_seg: 70.2223, loss: 0.4255 +2022-06-18 23:38:13,603 - mmseg - INFO - Saving checkpoint at 116000 iterations +2022-06-18 23:38:14,600 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:38:14,600 - mmseg - INFO - Iter [116000/160000] lr: 1.694e-05, eta: 2:56:12, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2966, decode.acc_seg: 70.9447, aux.loss_ce: 0.1416, aux.acc_seg: 69.6271, loss: 0.4383 +2022-06-18 23:38:25,842 - mmseg - INFO - Iter [116050/160000] lr: 1.692e-05, eta: 2:55:59, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2846, decode.acc_seg: 71.4056, aux.loss_ce: 0.1357, aux.acc_seg: 69.9865, loss: 0.4203 +2022-06-18 23:38:37,547 - mmseg - INFO - Iter [116100/160000] lr: 1.690e-05, eta: 2:55:46, time: 0.234, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2741, decode.acc_seg: 71.4801, aux.loss_ce: 0.1306, aux.acc_seg: 70.1026, loss: 0.4047 +2022-06-18 23:38:49,040 - mmseg - INFO - Iter [116150/160000] lr: 1.688e-05, eta: 2:55:34, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3155, decode.acc_seg: 70.5744, aux.loss_ce: 0.1520, aux.acc_seg: 68.8006, loss: 0.4675 +2022-06-18 23:39:00,381 - mmseg - INFO - Iter [116200/160000] lr: 1.686e-05, eta: 2:55:21, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3036, decode.acc_seg: 71.0308, aux.loss_ce: 0.1442, aux.acc_seg: 69.6691, loss: 0.4478 +2022-06-18 23:39:11,597 - mmseg - INFO - Iter [116250/160000] lr: 1.684e-05, eta: 2:55:08, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2938, decode.acc_seg: 71.4522, aux.loss_ce: 0.1393, aux.acc_seg: 70.0521, loss: 0.4330 +2022-06-18 23:39:22,989 - mmseg - INFO - Iter [116300/160000] lr: 1.683e-05, eta: 2:54:55, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3110, decode.acc_seg: 71.8635, aux.loss_ce: 0.1497, aux.acc_seg: 70.3302, loss: 0.4607 +2022-06-18 23:39:34,317 - mmseg - INFO - Iter [116350/160000] lr: 1.681e-05, eta: 2:54:42, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2757, decode.acc_seg: 71.3978, aux.loss_ce: 0.1323, aux.acc_seg: 70.0770, loss: 0.4080 +2022-06-18 23:39:45,721 - mmseg - INFO - Iter [116400/160000] lr: 1.679e-05, eta: 2:54:30, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2934, decode.acc_seg: 72.1752, aux.loss_ce: 0.1419, aux.acc_seg: 70.6380, loss: 0.4353 +2022-06-18 23:39:57,163 - mmseg - INFO - Iter [116450/160000] lr: 1.677e-05, eta: 2:54:17, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2889, decode.acc_seg: 70.6951, aux.loss_ce: 0.1397, aux.acc_seg: 69.2620, loss: 0.4286 +2022-06-18 23:40:08,515 - mmseg - INFO - Iter [116500/160000] lr: 1.675e-05, eta: 2:54:04, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2881, decode.acc_seg: 69.9961, aux.loss_ce: 0.1399, aux.acc_seg: 68.5456, loss: 0.4280 +2022-06-18 23:40:19,693 - mmseg - INFO - Iter [116550/160000] lr: 1.673e-05, eta: 2:53:51, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2885, decode.acc_seg: 71.7415, aux.loss_ce: 0.1380, aux.acc_seg: 70.3415, loss: 0.4265 +2022-06-18 23:40:31,022 - mmseg - INFO - Iter [116600/160000] lr: 1.671e-05, eta: 2:53:38, time: 0.227, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3027, decode.acc_seg: 70.1391, aux.loss_ce: 0.1450, aux.acc_seg: 68.6946, loss: 0.4477 +2022-06-18 23:40:42,105 - mmseg - INFO - Iter [116650/160000] lr: 1.669e-05, eta: 2:53:25, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3005, decode.acc_seg: 70.9527, aux.loss_ce: 0.1428, aux.acc_seg: 69.4782, loss: 0.4433 +2022-06-18 23:40:53,718 - mmseg - INFO - Iter [116700/160000] lr: 1.667e-05, eta: 2:53:13, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3038, decode.acc_seg: 72.2395, aux.loss_ce: 0.1440, aux.acc_seg: 70.8812, loss: 0.4478 +2022-06-18 23:41:05,214 - mmseg - INFO - Iter [116750/160000] lr: 1.665e-05, eta: 2:53:00, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2816, decode.acc_seg: 70.6303, aux.loss_ce: 0.1365, aux.acc_seg: 69.1320, loss: 0.4180 +2022-06-18 23:41:16,550 - mmseg - INFO - Iter [116800/160000] lr: 1.663e-05, eta: 2:52:48, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2907, decode.acc_seg: 70.7888, aux.loss_ce: 0.1389, aux.acc_seg: 69.3910, loss: 0.4296 +2022-06-18 23:41:28,021 - mmseg - INFO - Iter [116850/160000] lr: 1.661e-05, eta: 2:52:35, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3027, decode.acc_seg: 70.3757, aux.loss_ce: 0.1444, aux.acc_seg: 69.1001, loss: 0.4471 +2022-06-18 23:41:42,072 - mmseg - INFO - Iter [116900/160000] lr: 1.659e-05, eta: 2:52:25, time: 0.281, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2841, decode.acc_seg: 71.2945, aux.loss_ce: 0.1377, aux.acc_seg: 69.8064, loss: 0.4218 +2022-06-18 23:41:53,252 - mmseg - INFO - Iter [116950/160000] lr: 1.657e-05, eta: 2:52:12, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2920, decode.acc_seg: 71.7746, aux.loss_ce: 0.1414, aux.acc_seg: 70.1390, loss: 0.4335 +2022-06-18 23:42:04,489 - mmseg - INFO - Saving checkpoint at 117000 iterations +2022-06-18 23:42:05,537 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:42:05,538 - mmseg - INFO - Iter [117000/160000] lr: 1.656e-05, eta: 2:52:01, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3000, decode.acc_seg: 72.1152, aux.loss_ce: 0.1430, aux.acc_seg: 70.7260, loss: 0.4430 +2022-06-18 23:42:17,015 - mmseg - INFO - Iter [117050/160000] lr: 1.654e-05, eta: 2:51:48, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2911, decode.acc_seg: 73.2097, aux.loss_ce: 0.1408, aux.acc_seg: 71.6440, loss: 0.4320 +2022-06-18 23:42:28,214 - mmseg - INFO - Iter [117100/160000] lr: 1.652e-05, eta: 2:51:35, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3060, decode.acc_seg: 70.9526, aux.loss_ce: 0.1456, aux.acc_seg: 69.4788, loss: 0.4516 +2022-06-18 23:42:39,429 - mmseg - INFO - Iter [117150/160000] lr: 1.650e-05, eta: 2:51:22, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2905, decode.acc_seg: 71.2019, aux.loss_ce: 0.1393, aux.acc_seg: 69.7452, loss: 0.4298 +2022-06-18 23:42:50,820 - mmseg - INFO - Iter [117200/160000] lr: 1.648e-05, eta: 2:51:10, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2962, decode.acc_seg: 72.2388, aux.loss_ce: 0.1396, aux.acc_seg: 70.8588, loss: 0.4358 +2022-06-18 23:43:02,060 - mmseg - INFO - Iter [117250/160000] lr: 1.646e-05, eta: 2:50:57, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2895, decode.acc_seg: 71.3733, aux.loss_ce: 0.1371, aux.acc_seg: 70.1504, loss: 0.4267 +2022-06-18 23:43:13,402 - mmseg - INFO - Iter [117300/160000] lr: 1.644e-05, eta: 2:50:44, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2842, decode.acc_seg: 72.7629, aux.loss_ce: 0.1369, aux.acc_seg: 71.1552, loss: 0.4211 +2022-06-18 23:43:24,806 - mmseg - INFO - Iter [117350/160000] lr: 1.642e-05, eta: 2:50:31, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2913, decode.acc_seg: 71.6352, aux.loss_ce: 0.1386, aux.acc_seg: 70.1146, loss: 0.4300 +2022-06-18 23:43:36,237 - mmseg - INFO - Iter [117400/160000] lr: 1.640e-05, eta: 2:50:19, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3063, decode.acc_seg: 70.9853, aux.loss_ce: 0.1465, aux.acc_seg: 69.4714, loss: 0.4528 +2022-06-18 23:43:47,644 - mmseg - INFO - Iter [117450/160000] lr: 1.638e-05, eta: 2:50:06, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2768, decode.acc_seg: 70.5926, aux.loss_ce: 0.1326, aux.acc_seg: 69.2781, loss: 0.4094 +2022-06-18 23:43:58,829 - mmseg - INFO - Iter [117500/160000] lr: 1.636e-05, eta: 2:49:53, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2897, decode.acc_seg: 70.7304, aux.loss_ce: 0.1396, aux.acc_seg: 69.1149, loss: 0.4293 +2022-06-18 23:44:09,801 - mmseg - INFO - Iter [117550/160000] lr: 1.634e-05, eta: 2:49:40, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2928, decode.acc_seg: 71.1050, aux.loss_ce: 0.1403, aux.acc_seg: 69.6375, loss: 0.4331 +2022-06-18 23:44:21,254 - mmseg - INFO - Iter [117600/160000] lr: 1.632e-05, eta: 2:49:28, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3006, decode.acc_seg: 71.9994, aux.loss_ce: 0.1439, aux.acc_seg: 70.5650, loss: 0.4445 +2022-06-18 23:44:32,925 - mmseg - INFO - Iter [117650/160000] lr: 1.631e-05, eta: 2:49:15, time: 0.234, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2883, decode.acc_seg: 71.4516, aux.loss_ce: 0.1381, aux.acc_seg: 70.0643, loss: 0.4264 +2022-06-18 23:44:44,259 - mmseg - INFO - Iter [117700/160000] lr: 1.629e-05, eta: 2:49:03, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3003, decode.acc_seg: 72.0496, aux.loss_ce: 0.1430, aux.acc_seg: 70.5800, loss: 0.4433 +2022-06-18 23:44:55,429 - mmseg - INFO - Iter [117750/160000] lr: 1.627e-05, eta: 2:48:50, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2950, decode.acc_seg: 69.8363, aux.loss_ce: 0.1413, aux.acc_seg: 68.3959, loss: 0.4363 +2022-06-18 23:45:06,773 - mmseg - INFO - Iter [117800/160000] lr: 1.625e-05, eta: 2:48:37, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3148, decode.acc_seg: 72.3434, aux.loss_ce: 0.1515, aux.acc_seg: 70.8679, loss: 0.4663 +2022-06-18 23:45:18,162 - mmseg - INFO - Iter [117850/160000] lr: 1.623e-05, eta: 2:48:24, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3009, decode.acc_seg: 70.6373, aux.loss_ce: 0.1437, aux.acc_seg: 69.0413, loss: 0.4446 +2022-06-18 23:45:29,419 - mmseg - INFO - Iter [117900/160000] lr: 1.621e-05, eta: 2:48:12, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3126, decode.acc_seg: 72.0948, aux.loss_ce: 0.1478, aux.acc_seg: 70.6227, loss: 0.4604 +2022-06-18 23:45:40,750 - mmseg - INFO - Iter [117950/160000] lr: 1.619e-05, eta: 2:47:59, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2912, decode.acc_seg: 72.5357, aux.loss_ce: 0.1412, aux.acc_seg: 70.8771, loss: 0.4324 +2022-06-18 23:45:52,383 - mmseg - INFO - Saving checkpoint at 118000 iterations +2022-06-18 23:45:53,378 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:45:53,379 - mmseg - INFO - Iter [118000/160000] lr: 1.617e-05, eta: 2:47:48, time: 0.253, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3006, decode.acc_seg: 71.7769, aux.loss_ce: 0.1430, aux.acc_seg: 70.3288, loss: 0.4436 +2022-06-18 23:46:04,516 - mmseg - INFO - Iter [118050/160000] lr: 1.615e-05, eta: 2:47:35, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2842, decode.acc_seg: 70.9487, aux.loss_ce: 0.1384, aux.acc_seg: 69.3836, loss: 0.4226 +2022-06-18 23:46:15,791 - mmseg - INFO - Iter [118100/160000] lr: 1.613e-05, eta: 2:47:22, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3005, decode.acc_seg: 72.7580, aux.loss_ce: 0.1428, aux.acc_seg: 71.2591, loss: 0.4433 +2022-06-18 23:46:26,756 - mmseg - INFO - Iter [118150/160000] lr: 1.611e-05, eta: 2:47:09, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3083, decode.acc_seg: 70.0903, aux.loss_ce: 0.1465, aux.acc_seg: 68.5792, loss: 0.4547 +2022-06-18 23:46:40,436 - mmseg - INFO - Iter [118200/160000] lr: 1.609e-05, eta: 2:46:59, time: 0.274, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2790, decode.acc_seg: 72.5330, aux.loss_ce: 0.1337, aux.acc_seg: 70.9559, loss: 0.4126 +2022-06-18 23:46:51,703 - mmseg - INFO - Iter [118250/160000] lr: 1.607e-05, eta: 2:46:46, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2873, decode.acc_seg: 70.6333, aux.loss_ce: 0.1390, aux.acc_seg: 69.1540, loss: 0.4264 +2022-06-18 23:47:02,799 - mmseg - INFO - Iter [118300/160000] lr: 1.606e-05, eta: 2:46:33, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2808, decode.acc_seg: 70.6887, aux.loss_ce: 0.1360, aux.acc_seg: 69.2131, loss: 0.4168 +2022-06-18 23:47:14,132 - mmseg - INFO - Iter [118350/160000] lr: 1.604e-05, eta: 2:46:20, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2783, decode.acc_seg: 71.5455, aux.loss_ce: 0.1348, aux.acc_seg: 70.0534, loss: 0.4131 +2022-06-18 23:47:25,332 - mmseg - INFO - Iter [118400/160000] lr: 1.602e-05, eta: 2:46:08, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2877, decode.acc_seg: 70.3355, aux.loss_ce: 0.1375, aux.acc_seg: 68.9185, loss: 0.4252 +2022-06-18 23:47:36,862 - mmseg - INFO - Iter [118450/160000] lr: 1.600e-05, eta: 2:45:55, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2775, decode.acc_seg: 70.6025, aux.loss_ce: 0.1325, aux.acc_seg: 69.3368, loss: 0.4100 +2022-06-18 23:47:48,079 - mmseg - INFO - Iter [118500/160000] lr: 1.598e-05, eta: 2:45:42, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2811, decode.acc_seg: 72.1541, aux.loss_ce: 0.1356, aux.acc_seg: 70.6586, loss: 0.4167 +2022-06-18 23:47:59,224 - mmseg - INFO - Iter [118550/160000] lr: 1.596e-05, eta: 2:45:29, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2820, decode.acc_seg: 71.5178, aux.loss_ce: 0.1361, aux.acc_seg: 70.0711, loss: 0.4181 +2022-06-18 23:48:10,424 - mmseg - INFO - Iter [118600/160000] lr: 1.594e-05, eta: 2:45:17, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2759, decode.acc_seg: 71.9698, aux.loss_ce: 0.1330, aux.acc_seg: 70.5090, loss: 0.4089 +2022-06-18 23:48:21,611 - mmseg - INFO - Iter [118650/160000] lr: 1.592e-05, eta: 2:45:04, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2673, decode.acc_seg: 70.6000, aux.loss_ce: 0.1306, aux.acc_seg: 69.0344, loss: 0.3979 +2022-06-18 23:48:32,805 - mmseg - INFO - Iter [118700/160000] lr: 1.590e-05, eta: 2:44:51, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2834, decode.acc_seg: 72.0530, aux.loss_ce: 0.1360, aux.acc_seg: 70.3397, loss: 0.4194 +2022-06-18 23:48:44,198 - mmseg - INFO - Iter [118750/160000] lr: 1.588e-05, eta: 2:44:38, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2837, decode.acc_seg: 71.9804, aux.loss_ce: 0.1369, aux.acc_seg: 70.7369, loss: 0.4206 +2022-06-18 23:48:55,516 - mmseg - INFO - Iter [118800/160000] lr: 1.586e-05, eta: 2:44:26, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3060, decode.acc_seg: 71.4338, aux.loss_ce: 0.1459, aux.acc_seg: 69.8481, loss: 0.4519 +2022-06-18 23:49:07,059 - mmseg - INFO - Iter [118850/160000] lr: 1.584e-05, eta: 2:44:13, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3062, decode.acc_seg: 70.5399, aux.loss_ce: 0.1458, aux.acc_seg: 69.0642, loss: 0.4520 +2022-06-18 23:49:18,343 - mmseg - INFO - Iter [118900/160000] lr: 1.582e-05, eta: 2:44:01, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3026, decode.acc_seg: 71.6087, aux.loss_ce: 0.1456, aux.acc_seg: 70.0980, loss: 0.4481 +2022-06-18 23:49:29,732 - mmseg - INFO - Iter [118950/160000] lr: 1.580e-05, eta: 2:43:48, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2933, decode.acc_seg: 72.5252, aux.loss_ce: 0.1403, aux.acc_seg: 71.0149, loss: 0.4336 +2022-06-18 23:49:41,086 - mmseg - INFO - Saving checkpoint at 119000 iterations +2022-06-18 23:49:42,108 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:49:42,108 - mmseg - INFO - Iter [119000/160000] lr: 1.579e-05, eta: 2:43:37, time: 0.248, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2839, decode.acc_seg: 71.0104, aux.loss_ce: 0.1367, aux.acc_seg: 69.5789, loss: 0.4206 +2022-06-18 23:49:53,145 - mmseg - INFO - Iter [119050/160000] lr: 1.577e-05, eta: 2:43:24, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2949, decode.acc_seg: 70.2623, aux.loss_ce: 0.1427, aux.acc_seg: 68.7840, loss: 0.4376 +2022-06-18 23:50:04,355 - mmseg - INFO - Iter [119100/160000] lr: 1.575e-05, eta: 2:43:11, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2961, decode.acc_seg: 71.5390, aux.loss_ce: 0.1408, aux.acc_seg: 70.1817, loss: 0.4369 +2022-06-18 23:50:15,623 - mmseg - INFO - Iter [119150/160000] lr: 1.573e-05, eta: 2:42:58, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2764, decode.acc_seg: 71.6563, aux.loss_ce: 0.1345, aux.acc_seg: 69.9768, loss: 0.4109 +2022-06-18 23:50:27,268 - mmseg - INFO - Iter [119200/160000] lr: 1.571e-05, eta: 2:42:46, time: 0.232, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2930, decode.acc_seg: 70.7898, aux.loss_ce: 0.1402, aux.acc_seg: 69.3691, loss: 0.4332 +2022-06-18 23:50:38,609 - mmseg - INFO - Iter [119250/160000] lr: 1.569e-05, eta: 2:42:33, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3128, decode.acc_seg: 71.4210, aux.loss_ce: 0.1497, aux.acc_seg: 69.9177, loss: 0.4626 +2022-06-18 23:50:49,964 - mmseg - INFO - Iter [119300/160000] lr: 1.567e-05, eta: 2:42:21, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2838, decode.acc_seg: 71.6219, aux.loss_ce: 0.1339, aux.acc_seg: 70.2907, loss: 0.4177 +2022-06-18 23:51:01,313 - mmseg - INFO - Iter [119350/160000] lr: 1.565e-05, eta: 2:42:08, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2774, decode.acc_seg: 71.9791, aux.loss_ce: 0.1342, aux.acc_seg: 70.5772, loss: 0.4116 +2022-06-18 23:51:12,712 - mmseg - INFO - Iter [119400/160000] lr: 1.563e-05, eta: 2:41:56, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2857, decode.acc_seg: 71.0288, aux.loss_ce: 0.1380, aux.acc_seg: 69.4875, loss: 0.4237 +2022-06-18 23:51:26,460 - mmseg - INFO - Iter [119450/160000] lr: 1.561e-05, eta: 2:41:45, time: 0.275, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3021, decode.acc_seg: 70.5720, aux.loss_ce: 0.1448, aux.acc_seg: 69.1372, loss: 0.4469 +2022-06-18 23:51:37,917 - mmseg - INFO - Iter [119500/160000] lr: 1.559e-05, eta: 2:41:33, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2847, decode.acc_seg: 72.6784, aux.loss_ce: 0.1360, aux.acc_seg: 71.2235, loss: 0.4207 +2022-06-18 23:51:49,264 - mmseg - INFO - Iter [119550/160000] lr: 1.557e-05, eta: 2:41:20, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2994, decode.acc_seg: 72.0594, aux.loss_ce: 0.1415, aux.acc_seg: 70.7161, loss: 0.4409 +2022-06-18 23:52:00,513 - mmseg - INFO - Iter [119600/160000] lr: 1.555e-05, eta: 2:41:08, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2884, decode.acc_seg: 71.5152, aux.loss_ce: 0.1403, aux.acc_seg: 69.9077, loss: 0.4288 +2022-06-18 23:52:11,719 - mmseg - INFO - Iter [119650/160000] lr: 1.554e-05, eta: 2:40:55, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2858, decode.acc_seg: 70.9226, aux.loss_ce: 0.1407, aux.acc_seg: 69.1102, loss: 0.4265 +2022-06-18 23:52:23,149 - mmseg - INFO - Iter [119700/160000] lr: 1.552e-05, eta: 2:40:42, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2933, decode.acc_seg: 72.3507, aux.loss_ce: 0.1395, aux.acc_seg: 70.8737, loss: 0.4328 +2022-06-18 23:52:34,758 - mmseg - INFO - Iter [119750/160000] lr: 1.550e-05, eta: 2:40:30, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2918, decode.acc_seg: 71.6613, aux.loss_ce: 0.1381, aux.acc_seg: 70.2940, loss: 0.4299 +2022-06-18 23:52:45,972 - mmseg - INFO - Iter [119800/160000] lr: 1.548e-05, eta: 2:40:17, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2860, decode.acc_seg: 71.5867, aux.loss_ce: 0.1386, aux.acc_seg: 70.0293, loss: 0.4245 +2022-06-18 23:52:56,970 - mmseg - INFO - Iter [119850/160000] lr: 1.546e-05, eta: 2:40:05, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2998, decode.acc_seg: 71.0912, aux.loss_ce: 0.1409, aux.acc_seg: 69.7659, loss: 0.4407 +2022-06-18 23:53:08,352 - mmseg - INFO - Iter [119900/160000] lr: 1.544e-05, eta: 2:39:52, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2895, decode.acc_seg: 71.2092, aux.loss_ce: 0.1397, aux.acc_seg: 69.6566, loss: 0.4292 +2022-06-18 23:53:20,000 - mmseg - INFO - Iter [119950/160000] lr: 1.542e-05, eta: 2:39:40, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3058, decode.acc_seg: 71.9059, aux.loss_ce: 0.1451, aux.acc_seg: 70.5895, loss: 0.4509 +2022-06-18 23:53:31,280 - mmseg - INFO - Saving checkpoint at 120000 iterations +2022-06-18 23:53:32,284 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:53:32,284 - mmseg - INFO - Iter [120000/160000] lr: 1.540e-05, eta: 2:39:28, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2762, decode.acc_seg: 71.9023, aux.loss_ce: 0.1339, aux.acc_seg: 70.4376, loss: 0.4101 +2022-06-18 23:53:43,324 - mmseg - INFO - Iter [120050/160000] lr: 1.538e-05, eta: 2:39:15, time: 0.220, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2881, decode.acc_seg: 71.3253, aux.loss_ce: 0.1398, aux.acc_seg: 69.6469, loss: 0.4278 +2022-06-18 23:53:54,621 - mmseg - INFO - Iter [120100/160000] lr: 1.536e-05, eta: 2:39:03, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2811, decode.acc_seg: 72.3762, aux.loss_ce: 0.1366, aux.acc_seg: 70.9399, loss: 0.4177 +2022-06-18 23:54:05,822 - mmseg - INFO - Iter [120150/160000] lr: 1.534e-05, eta: 2:38:50, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2879, decode.acc_seg: 72.6641, aux.loss_ce: 0.1382, aux.acc_seg: 71.1129, loss: 0.4262 +2022-06-18 23:54:17,221 - mmseg - INFO - Iter [120200/160000] lr: 1.532e-05, eta: 2:38:37, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2929, decode.acc_seg: 71.0935, aux.loss_ce: 0.1386, aux.acc_seg: 69.8534, loss: 0.4315 +2022-06-18 23:54:28,310 - mmseg - INFO - Iter [120250/160000] lr: 1.530e-05, eta: 2:38:25, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2879, decode.acc_seg: 72.5197, aux.loss_ce: 0.1385, aux.acc_seg: 71.0547, loss: 0.4264 +2022-06-18 23:54:39,559 - mmseg - INFO - Iter [120300/160000] lr: 1.529e-05, eta: 2:38:12, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2976, decode.acc_seg: 72.0916, aux.loss_ce: 0.1387, aux.acc_seg: 70.7428, loss: 0.4363 +2022-06-18 23:54:50,789 - mmseg - INFO - Iter [120350/160000] lr: 1.527e-05, eta: 2:37:59, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2897, decode.acc_seg: 69.8338, aux.loss_ce: 0.1387, aux.acc_seg: 68.5280, loss: 0.4284 +2022-06-18 23:55:02,152 - mmseg - INFO - Iter [120400/160000] lr: 1.525e-05, eta: 2:37:47, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3022, decode.acc_seg: 71.2186, aux.loss_ce: 0.1461, aux.acc_seg: 69.5690, loss: 0.4483 +2022-06-18 23:55:13,671 - mmseg - INFO - Iter [120450/160000] lr: 1.523e-05, eta: 2:37:34, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2861, decode.acc_seg: 71.9127, aux.loss_ce: 0.1382, aux.acc_seg: 70.3873, loss: 0.4243 +2022-06-18 23:55:25,063 - mmseg - INFO - Iter [120500/160000] lr: 1.521e-05, eta: 2:37:22, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2865, decode.acc_seg: 70.4871, aux.loss_ce: 0.1374, aux.acc_seg: 69.2105, loss: 0.4239 +2022-06-18 23:55:36,501 - mmseg - INFO - Iter [120550/160000] lr: 1.519e-05, eta: 2:37:10, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3092, decode.acc_seg: 70.9005, aux.loss_ce: 0.1459, aux.acc_seg: 69.5666, loss: 0.4551 +2022-06-18 23:55:47,623 - mmseg - INFO - Iter [120600/160000] lr: 1.517e-05, eta: 2:36:57, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2862, decode.acc_seg: 70.4786, aux.loss_ce: 0.1382, aux.acc_seg: 69.1916, loss: 0.4244 +2022-06-18 23:55:59,018 - mmseg - INFO - Iter [120650/160000] lr: 1.515e-05, eta: 2:36:44, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2796, decode.acc_seg: 71.1947, aux.loss_ce: 0.1347, aux.acc_seg: 69.7918, loss: 0.4143 +2022-06-18 23:56:12,625 - mmseg - INFO - Iter [120700/160000] lr: 1.513e-05, eta: 2:36:34, time: 0.272, data_time: 0.049, memory: 36327, decode.loss_ce: 0.3003, decode.acc_seg: 72.7899, aux.loss_ce: 0.1444, aux.acc_seg: 71.0326, loss: 0.4446 +2022-06-18 23:56:23,852 - mmseg - INFO - Iter [120750/160000] lr: 1.511e-05, eta: 2:36:21, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2659, decode.acc_seg: 72.4330, aux.loss_ce: 0.1280, aux.acc_seg: 70.9687, loss: 0.3939 +2022-06-18 23:56:35,176 - mmseg - INFO - Iter [120800/160000] lr: 1.509e-05, eta: 2:36:09, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2784, decode.acc_seg: 70.1018, aux.loss_ce: 0.1331, aux.acc_seg: 68.7401, loss: 0.4115 +2022-06-18 23:56:46,274 - mmseg - INFO - Iter [120850/160000] lr: 1.507e-05, eta: 2:35:56, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2784, decode.acc_seg: 71.9722, aux.loss_ce: 0.1353, aux.acc_seg: 70.3150, loss: 0.4137 +2022-06-18 23:56:57,709 - mmseg - INFO - Iter [120900/160000] lr: 1.505e-05, eta: 2:35:44, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2838, decode.acc_seg: 72.0452, aux.loss_ce: 0.1349, aux.acc_seg: 70.7517, loss: 0.4186 +2022-06-18 23:57:08,864 - mmseg - INFO - Iter [120950/160000] lr: 1.503e-05, eta: 2:35:31, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2931, decode.acc_seg: 71.9728, aux.loss_ce: 0.1412, aux.acc_seg: 70.5357, loss: 0.4343 +2022-06-18 23:57:20,399 - mmseg - INFO - Saving checkpoint at 121000 iterations +2022-06-18 23:57:21,394 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-18 23:57:21,394 - mmseg - INFO - Iter [121000/160000] lr: 1.502e-05, eta: 2:35:20, time: 0.251, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2890, decode.acc_seg: 71.2769, aux.loss_ce: 0.1392, aux.acc_seg: 69.8588, loss: 0.4282 +2022-06-18 23:57:32,561 - mmseg - INFO - Iter [121050/160000] lr: 1.500e-05, eta: 2:35:07, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2863, decode.acc_seg: 69.9469, aux.loss_ce: 0.1379, aux.acc_seg: 68.4718, loss: 0.4242 +2022-06-18 23:57:43,903 - mmseg - INFO - Iter [121100/160000] lr: 1.498e-05, eta: 2:34:54, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2707, decode.acc_seg: 71.3073, aux.loss_ce: 0.1305, aux.acc_seg: 69.7225, loss: 0.4012 +2022-06-18 23:57:54,856 - mmseg - INFO - Iter [121150/160000] lr: 1.496e-05, eta: 2:34:41, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2866, decode.acc_seg: 72.5616, aux.loss_ce: 0.1387, aux.acc_seg: 71.0584, loss: 0.4252 +2022-06-18 23:58:05,933 - mmseg - INFO - Iter [121200/160000] lr: 1.494e-05, eta: 2:34:29, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2789, decode.acc_seg: 71.9722, aux.loss_ce: 0.1381, aux.acc_seg: 70.3598, loss: 0.4171 +2022-06-18 23:58:17,275 - mmseg - INFO - Iter [121250/160000] lr: 1.492e-05, eta: 2:34:16, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2929, decode.acc_seg: 70.1796, aux.loss_ce: 0.1418, aux.acc_seg: 68.5666, loss: 0.4347 +2022-06-18 23:58:28,835 - mmseg - INFO - Iter [121300/160000] lr: 1.490e-05, eta: 2:34:04, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2903, decode.acc_seg: 71.8331, aux.loss_ce: 0.1412, aux.acc_seg: 70.3491, loss: 0.4315 +2022-06-18 23:58:40,067 - mmseg - INFO - Iter [121350/160000] lr: 1.488e-05, eta: 2:33:51, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3070, decode.acc_seg: 72.1029, aux.loss_ce: 0.1465, aux.acc_seg: 70.6961, loss: 0.4535 +2022-06-18 23:58:51,391 - mmseg - INFO - Iter [121400/160000] lr: 1.486e-05, eta: 2:33:39, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2707, decode.acc_seg: 72.6341, aux.loss_ce: 0.1295, aux.acc_seg: 71.3213, loss: 0.4002 +2022-06-18 23:59:02,775 - mmseg - INFO - Iter [121450/160000] lr: 1.484e-05, eta: 2:33:26, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2853, decode.acc_seg: 71.4805, aux.loss_ce: 0.1353, aux.acc_seg: 70.1237, loss: 0.4206 +2022-06-18 23:59:14,169 - mmseg - INFO - Iter [121500/160000] lr: 1.482e-05, eta: 2:33:14, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2834, decode.acc_seg: 72.1213, aux.loss_ce: 0.1390, aux.acc_seg: 70.4961, loss: 0.4224 +2022-06-18 23:59:25,531 - mmseg - INFO - Iter [121550/160000] lr: 1.480e-05, eta: 2:33:01, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2842, decode.acc_seg: 73.0123, aux.loss_ce: 0.1372, aux.acc_seg: 71.4541, loss: 0.4215 +2022-06-18 23:59:36,917 - mmseg - INFO - Iter [121600/160000] lr: 1.478e-05, eta: 2:32:49, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2814, decode.acc_seg: 71.3522, aux.loss_ce: 0.1350, aux.acc_seg: 69.9839, loss: 0.4164 +2022-06-18 23:59:48,139 - mmseg - INFO - Iter [121650/160000] lr: 1.477e-05, eta: 2:32:36, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2887, decode.acc_seg: 71.5949, aux.loss_ce: 0.1397, aux.acc_seg: 69.9527, loss: 0.4285 +2022-06-18 23:59:59,332 - mmseg - INFO - Iter [121700/160000] lr: 1.475e-05, eta: 2:32:24, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2785, decode.acc_seg: 70.6951, aux.loss_ce: 0.1326, aux.acc_seg: 69.3690, loss: 0.4111 +2022-06-19 00:00:11,822 - mmseg - INFO - Iter [121750/160000] lr: 1.473e-05, eta: 2:32:12, time: 0.250, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2847, decode.acc_seg: 72.1535, aux.loss_ce: 0.1383, aux.acc_seg: 70.5100, loss: 0.4230 +2022-06-19 00:00:23,276 - mmseg - INFO - Iter [121800/160000] lr: 1.471e-05, eta: 2:32:00, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2697, decode.acc_seg: 70.6344, aux.loss_ce: 0.1339, aux.acc_seg: 68.8951, loss: 0.4036 +2022-06-19 00:00:34,584 - mmseg - INFO - Iter [121850/160000] lr: 1.469e-05, eta: 2:31:48, time: 0.227, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2801, decode.acc_seg: 72.9228, aux.loss_ce: 0.1352, aux.acc_seg: 71.5412, loss: 0.4152 +2022-06-19 00:00:46,095 - mmseg - INFO - Iter [121900/160000] lr: 1.467e-05, eta: 2:31:35, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2836, decode.acc_seg: 71.6545, aux.loss_ce: 0.1396, aux.acc_seg: 70.0153, loss: 0.4232 +2022-06-19 00:00:59,392 - mmseg - INFO - Iter [121950/160000] lr: 1.465e-05, eta: 2:31:24, time: 0.266, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2819, decode.acc_seg: 71.3478, aux.loss_ce: 0.1361, aux.acc_seg: 69.8501, loss: 0.4181 +2022-06-19 00:01:10,684 - mmseg - INFO - Saving checkpoint at 122000 iterations +2022-06-19 00:01:11,703 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:01:11,703 - mmseg - INFO - Iter [122000/160000] lr: 1.463e-05, eta: 2:31:13, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2816, decode.acc_seg: 70.6851, aux.loss_ce: 0.1363, aux.acc_seg: 69.0907, loss: 0.4179 +2022-06-19 00:01:22,786 - mmseg - INFO - Iter [122050/160000] lr: 1.461e-05, eta: 2:31:00, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2829, decode.acc_seg: 72.2653, aux.loss_ce: 0.1368, aux.acc_seg: 70.6766, loss: 0.4197 +2022-06-19 00:01:33,881 - mmseg - INFO - Iter [122100/160000] lr: 1.459e-05, eta: 2:30:47, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2984, decode.acc_seg: 70.5875, aux.loss_ce: 0.1435, aux.acc_seg: 69.0842, loss: 0.4420 +2022-06-19 00:01:45,104 - mmseg - INFO - Iter [122150/160000] lr: 1.457e-05, eta: 2:30:35, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2804, decode.acc_seg: 71.1231, aux.loss_ce: 0.1371, aux.acc_seg: 69.4961, loss: 0.4176 +2022-06-19 00:01:56,570 - mmseg - INFO - Iter [122200/160000] lr: 1.455e-05, eta: 2:30:23, time: 0.230, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2891, decode.acc_seg: 71.4915, aux.loss_ce: 0.1406, aux.acc_seg: 69.8670, loss: 0.4296 +2022-06-19 00:02:07,850 - mmseg - INFO - Iter [122250/160000] lr: 1.453e-05, eta: 2:30:10, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2902, decode.acc_seg: 71.0303, aux.loss_ce: 0.1405, aux.acc_seg: 69.5547, loss: 0.4308 +2022-06-19 00:02:19,113 - mmseg - INFO - Iter [122300/160000] lr: 1.452e-05, eta: 2:29:58, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2680, decode.acc_seg: 72.0057, aux.loss_ce: 0.1309, aux.acc_seg: 70.4846, loss: 0.3990 +2022-06-19 00:02:30,517 - mmseg - INFO - Iter [122350/160000] lr: 1.450e-05, eta: 2:29:45, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2797, decode.acc_seg: 72.8351, aux.loss_ce: 0.1352, aux.acc_seg: 71.3532, loss: 0.4149 +2022-06-19 00:02:41,902 - mmseg - INFO - Iter [122400/160000] lr: 1.448e-05, eta: 2:29:33, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2792, decode.acc_seg: 72.6241, aux.loss_ce: 0.1326, aux.acc_seg: 71.3458, loss: 0.4118 +2022-06-19 00:02:53,313 - mmseg - INFO - Iter [122450/160000] lr: 1.446e-05, eta: 2:29:20, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2764, decode.acc_seg: 70.7001, aux.loss_ce: 0.1336, aux.acc_seg: 69.0777, loss: 0.4100 +2022-06-19 00:03:04,703 - mmseg - INFO - Iter [122500/160000] lr: 1.444e-05, eta: 2:29:08, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2908, decode.acc_seg: 71.7061, aux.loss_ce: 0.1387, aux.acc_seg: 70.3824, loss: 0.4295 +2022-06-19 00:03:16,265 - mmseg - INFO - Iter [122550/160000] lr: 1.442e-05, eta: 2:28:56, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2775, decode.acc_seg: 71.8941, aux.loss_ce: 0.1356, aux.acc_seg: 70.2908, loss: 0.4131 +2022-06-19 00:03:27,359 - mmseg - INFO - Iter [122600/160000] lr: 1.440e-05, eta: 2:28:43, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2841, decode.acc_seg: 71.6308, aux.loss_ce: 0.1399, aux.acc_seg: 70.1037, loss: 0.4240 +2022-06-19 00:03:38,512 - mmseg - INFO - Iter [122650/160000] lr: 1.438e-05, eta: 2:28:30, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2807, decode.acc_seg: 71.9996, aux.loss_ce: 0.1335, aux.acc_seg: 70.6261, loss: 0.4142 +2022-06-19 00:03:49,680 - mmseg - INFO - Iter [122700/160000] lr: 1.436e-05, eta: 2:28:18, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2814, decode.acc_seg: 72.5255, aux.loss_ce: 0.1351, aux.acc_seg: 71.0651, loss: 0.4166 +2022-06-19 00:04:01,091 - mmseg - INFO - Iter [122750/160000] lr: 1.434e-05, eta: 2:28:06, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2988, decode.acc_seg: 71.0890, aux.loss_ce: 0.1423, aux.acc_seg: 69.6867, loss: 0.4411 +2022-06-19 00:04:12,379 - mmseg - INFO - Iter [122800/160000] lr: 1.432e-05, eta: 2:27:53, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2866, decode.acc_seg: 72.3708, aux.loss_ce: 0.1395, aux.acc_seg: 70.7015, loss: 0.4261 +2022-06-19 00:04:23,803 - mmseg - INFO - Iter [122850/160000] lr: 1.430e-05, eta: 2:27:41, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2968, decode.acc_seg: 70.9446, aux.loss_ce: 0.1422, aux.acc_seg: 69.4633, loss: 0.4390 +2022-06-19 00:04:35,386 - mmseg - INFO - Iter [122900/160000] lr: 1.428e-05, eta: 2:27:28, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3000, decode.acc_seg: 71.2746, aux.loss_ce: 0.1441, aux.acc_seg: 69.6271, loss: 0.4441 +2022-06-19 00:04:46,863 - mmseg - INFO - Iter [122950/160000] lr: 1.426e-05, eta: 2:27:16, time: 0.230, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2793, decode.acc_seg: 71.2145, aux.loss_ce: 0.1371, aux.acc_seg: 69.5293, loss: 0.4165 +2022-06-19 00:04:58,255 - mmseg - INFO - Saving checkpoint at 123000 iterations +2022-06-19 00:04:59,251 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:04:59,251 - mmseg - INFO - Iter [123000/160000] lr: 1.425e-05, eta: 2:27:05, time: 0.248, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2995, decode.acc_seg: 71.9054, aux.loss_ce: 0.1422, aux.acc_seg: 70.3861, loss: 0.4416 +2022-06-19 00:05:10,610 - mmseg - INFO - Iter [123050/160000] lr: 1.423e-05, eta: 2:26:52, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2971, decode.acc_seg: 72.4823, aux.loss_ce: 0.1422, aux.acc_seg: 71.0464, loss: 0.4393 +2022-06-19 00:05:22,049 - mmseg - INFO - Iter [123100/160000] lr: 1.421e-05, eta: 2:26:40, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2821, decode.acc_seg: 72.8037, aux.loss_ce: 0.1350, aux.acc_seg: 71.3969, loss: 0.4170 +2022-06-19 00:05:33,564 - mmseg - INFO - Iter [123150/160000] lr: 1.419e-05, eta: 2:26:28, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3029, decode.acc_seg: 69.9991, aux.loss_ce: 0.1457, aux.acc_seg: 68.3653, loss: 0.4486 +2022-06-19 00:05:44,893 - mmseg - INFO - Iter [123200/160000] lr: 1.417e-05, eta: 2:26:15, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3325, decode.acc_seg: 70.9925, aux.loss_ce: 0.1568, aux.acc_seg: 69.4896, loss: 0.4893 +2022-06-19 00:05:58,689 - mmseg - INFO - Iter [123250/160000] lr: 1.415e-05, eta: 2:26:05, time: 0.276, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2748, decode.acc_seg: 71.2755, aux.loss_ce: 0.1323, aux.acc_seg: 69.8899, loss: 0.4071 +2022-06-19 00:06:10,212 - mmseg - INFO - Iter [123300/160000] lr: 1.413e-05, eta: 2:25:53, time: 0.230, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2831, decode.acc_seg: 71.1024, aux.loss_ce: 0.1384, aux.acc_seg: 69.4519, loss: 0.4215 +2022-06-19 00:06:21,489 - mmseg - INFO - Iter [123350/160000] lr: 1.411e-05, eta: 2:25:40, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2811, decode.acc_seg: 72.0914, aux.loss_ce: 0.1362, aux.acc_seg: 70.5338, loss: 0.4173 +2022-06-19 00:06:32,783 - mmseg - INFO - Iter [123400/160000] lr: 1.409e-05, eta: 2:25:28, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2821, decode.acc_seg: 72.0882, aux.loss_ce: 0.1377, aux.acc_seg: 70.5299, loss: 0.4198 +2022-06-19 00:06:44,429 - mmseg - INFO - Iter [123450/160000] lr: 1.407e-05, eta: 2:25:16, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2896, decode.acc_seg: 73.1274, aux.loss_ce: 0.1387, aux.acc_seg: 71.6123, loss: 0.4284 +2022-06-19 00:06:55,899 - mmseg - INFO - Iter [123500/160000] lr: 1.405e-05, eta: 2:25:03, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2843, decode.acc_seg: 70.5754, aux.loss_ce: 0.1372, aux.acc_seg: 69.1046, loss: 0.4215 +2022-06-19 00:07:07,386 - mmseg - INFO - Iter [123550/160000] lr: 1.403e-05, eta: 2:24:51, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2787, decode.acc_seg: 72.2892, aux.loss_ce: 0.1353, aux.acc_seg: 70.8797, loss: 0.4140 +2022-06-19 00:07:19,061 - mmseg - INFO - Iter [123600/160000] lr: 1.401e-05, eta: 2:24:39, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2816, decode.acc_seg: 71.0656, aux.loss_ce: 0.1367, aux.acc_seg: 69.5105, loss: 0.4182 +2022-06-19 00:07:30,480 - mmseg - INFO - Iter [123650/160000] lr: 1.400e-05, eta: 2:24:26, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2933, decode.acc_seg: 71.5060, aux.loss_ce: 0.1408, aux.acc_seg: 69.9794, loss: 0.4341 +2022-06-19 00:07:41,913 - mmseg - INFO - Iter [123700/160000] lr: 1.398e-05, eta: 2:24:14, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2894, decode.acc_seg: 70.6126, aux.loss_ce: 0.1378, aux.acc_seg: 69.0881, loss: 0.4273 +2022-06-19 00:07:53,295 - mmseg - INFO - Iter [123750/160000] lr: 1.396e-05, eta: 2:24:02, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2975, decode.acc_seg: 71.6240, aux.loss_ce: 0.1429, aux.acc_seg: 70.1639, loss: 0.4404 +2022-06-19 00:08:04,513 - mmseg - INFO - Iter [123800/160000] lr: 1.394e-05, eta: 2:23:49, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2899, decode.acc_seg: 72.2172, aux.loss_ce: 0.1381, aux.acc_seg: 70.8483, loss: 0.4280 +2022-06-19 00:08:15,836 - mmseg - INFO - Iter [123850/160000] lr: 1.392e-05, eta: 2:23:37, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2803, decode.acc_seg: 69.9560, aux.loss_ce: 0.1328, aux.acc_seg: 68.5519, loss: 0.4131 +2022-06-19 00:08:27,240 - mmseg - INFO - Iter [123900/160000] lr: 1.390e-05, eta: 2:23:25, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2781, decode.acc_seg: 71.6924, aux.loss_ce: 0.1343, aux.acc_seg: 70.1991, loss: 0.4124 +2022-06-19 00:08:38,681 - mmseg - INFO - Iter [123950/160000] lr: 1.388e-05, eta: 2:23:12, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2766, decode.acc_seg: 72.5396, aux.loss_ce: 0.1362, aux.acc_seg: 70.9459, loss: 0.4128 +2022-06-19 00:08:50,192 - mmseg - INFO - Saving checkpoint at 124000 iterations +2022-06-19 00:08:51,260 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:08:51,260 - mmseg - INFO - Iter [124000/160000] lr: 1.386e-05, eta: 2:23:01, time: 0.252, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2776, decode.acc_seg: 71.4575, aux.loss_ce: 0.1324, aux.acc_seg: 70.0648, loss: 0.4101 +2022-06-19 00:09:02,348 - mmseg - INFO - Iter [124050/160000] lr: 1.384e-05, eta: 2:22:48, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3039, decode.acc_seg: 71.6419, aux.loss_ce: 0.1441, aux.acc_seg: 70.2361, loss: 0.4480 +2022-06-19 00:09:13,714 - mmseg - INFO - Iter [124100/160000] lr: 1.382e-05, eta: 2:22:36, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2867, decode.acc_seg: 72.3573, aux.loss_ce: 0.1394, aux.acc_seg: 70.6915, loss: 0.4261 +2022-06-19 00:09:25,038 - mmseg - INFO - Iter [124150/160000] lr: 1.380e-05, eta: 2:22:24, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2825, decode.acc_seg: 71.7312, aux.loss_ce: 0.1379, aux.acc_seg: 70.0088, loss: 0.4204 +2022-06-19 00:09:36,551 - mmseg - INFO - Iter [124200/160000] lr: 1.378e-05, eta: 2:22:11, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2865, decode.acc_seg: 71.7652, aux.loss_ce: 0.1351, aux.acc_seg: 70.4109, loss: 0.4217 +2022-06-19 00:09:47,886 - mmseg - INFO - Iter [124250/160000] lr: 1.376e-05, eta: 2:21:59, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2930, decode.acc_seg: 70.6954, aux.loss_ce: 0.1427, aux.acc_seg: 69.1137, loss: 0.4357 +2022-06-19 00:09:59,182 - mmseg - INFO - Iter [124300/160000] lr: 1.375e-05, eta: 2:21:47, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2666, decode.acc_seg: 71.4868, aux.loss_ce: 0.1298, aux.acc_seg: 69.8074, loss: 0.3964 +2022-06-19 00:10:10,670 - mmseg - INFO - Iter [124350/160000] lr: 1.373e-05, eta: 2:21:34, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2974, decode.acc_seg: 71.6961, aux.loss_ce: 0.1423, aux.acc_seg: 70.2576, loss: 0.4397 +2022-06-19 00:10:21,828 - mmseg - INFO - Iter [124400/160000] lr: 1.371e-05, eta: 2:21:22, time: 0.224, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2890, decode.acc_seg: 72.8350, aux.loss_ce: 0.1385, aux.acc_seg: 71.3404, loss: 0.4275 +2022-06-19 00:10:33,157 - mmseg - INFO - Iter [124450/160000] lr: 1.369e-05, eta: 2:21:09, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2624, decode.acc_seg: 72.4839, aux.loss_ce: 0.1269, aux.acc_seg: 71.0143, loss: 0.3893 +2022-06-19 00:10:46,681 - mmseg - INFO - Iter [124500/160000] lr: 1.367e-05, eta: 2:20:59, time: 0.270, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2912, decode.acc_seg: 70.9686, aux.loss_ce: 0.1413, aux.acc_seg: 69.4716, loss: 0.4324 +2022-06-19 00:10:58,006 - mmseg - INFO - Iter [124550/160000] lr: 1.365e-05, eta: 2:20:46, time: 0.227, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2864, decode.acc_seg: 71.2148, aux.loss_ce: 0.1381, aux.acc_seg: 69.8257, loss: 0.4245 +2022-06-19 00:11:09,286 - mmseg - INFO - Iter [124600/160000] lr: 1.363e-05, eta: 2:20:34, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2686, decode.acc_seg: 71.2323, aux.loss_ce: 0.1309, aux.acc_seg: 69.8353, loss: 0.3995 +2022-06-19 00:11:20,561 - mmseg - INFO - Iter [124650/160000] lr: 1.361e-05, eta: 2:20:22, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2767, decode.acc_seg: 71.2800, aux.loss_ce: 0.1332, aux.acc_seg: 69.8797, loss: 0.4099 +2022-06-19 00:11:31,793 - mmseg - INFO - Iter [124700/160000] lr: 1.359e-05, eta: 2:20:09, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2810, decode.acc_seg: 70.3959, aux.loss_ce: 0.1350, aux.acc_seg: 68.7920, loss: 0.4160 +2022-06-19 00:11:42,917 - mmseg - INFO - Iter [124750/160000] lr: 1.357e-05, eta: 2:19:57, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2755, decode.acc_seg: 73.2361, aux.loss_ce: 0.1324, aux.acc_seg: 71.9007, loss: 0.4079 +2022-06-19 00:11:54,114 - mmseg - INFO - Iter [124800/160000] lr: 1.355e-05, eta: 2:19:44, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2933, decode.acc_seg: 70.5139, aux.loss_ce: 0.1403, aux.acc_seg: 68.9881, loss: 0.4337 +2022-06-19 00:12:05,532 - mmseg - INFO - Iter [124850/160000] lr: 1.353e-05, eta: 2:19:32, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2812, decode.acc_seg: 72.2602, aux.loss_ce: 0.1351, aux.acc_seg: 70.7808, loss: 0.4163 +2022-06-19 00:12:16,867 - mmseg - INFO - Iter [124900/160000] lr: 1.351e-05, eta: 2:19:20, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2778, decode.acc_seg: 71.0622, aux.loss_ce: 0.1345, aux.acc_seg: 69.6398, loss: 0.4123 +2022-06-19 00:12:28,141 - mmseg - INFO - Iter [124950/160000] lr: 1.349e-05, eta: 2:19:07, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2848, decode.acc_seg: 72.2724, aux.loss_ce: 0.1364, aux.acc_seg: 70.8642, loss: 0.4212 +2022-06-19 00:12:39,495 - mmseg - INFO - Saving checkpoint at 125000 iterations +2022-06-19 00:12:40,504 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:12:40,504 - mmseg - INFO - Iter [125000/160000] lr: 1.348e-05, eta: 2:18:56, time: 0.248, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2831, decode.acc_seg: 72.1004, aux.loss_ce: 0.1395, aux.acc_seg: 70.3203, loss: 0.4226 +2022-06-19 00:12:51,749 - mmseg - INFO - Iter [125050/160000] lr: 1.346e-05, eta: 2:18:43, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2769, decode.acc_seg: 71.4379, aux.loss_ce: 0.1340, aux.acc_seg: 69.7038, loss: 0.4109 +2022-06-19 00:13:03,140 - mmseg - INFO - Iter [125100/160000] lr: 1.344e-05, eta: 2:18:31, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2635, decode.acc_seg: 72.4593, aux.loss_ce: 0.1287, aux.acc_seg: 70.9389, loss: 0.3922 +2022-06-19 00:13:14,648 - mmseg - INFO - Iter [125150/160000] lr: 1.342e-05, eta: 2:18:19, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2779, decode.acc_seg: 71.7376, aux.loss_ce: 0.1356, aux.acc_seg: 70.2237, loss: 0.4135 +2022-06-19 00:13:25,994 - mmseg - INFO - Iter [125200/160000] lr: 1.340e-05, eta: 2:18:06, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2951, decode.acc_seg: 69.9550, aux.loss_ce: 0.1415, aux.acc_seg: 68.6637, loss: 0.4365 +2022-06-19 00:13:37,378 - mmseg - INFO - Iter [125250/160000] lr: 1.338e-05, eta: 2:17:54, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2946, decode.acc_seg: 70.4173, aux.loss_ce: 0.1414, aux.acc_seg: 68.8157, loss: 0.4360 +2022-06-19 00:13:48,822 - mmseg - INFO - Iter [125300/160000] lr: 1.336e-05, eta: 2:17:42, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2713, decode.acc_seg: 72.6529, aux.loss_ce: 0.1301, aux.acc_seg: 71.1065, loss: 0.4014 +2022-06-19 00:14:00,408 - mmseg - INFO - Iter [125350/160000] lr: 1.334e-05, eta: 2:17:30, time: 0.231, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2826, decode.acc_seg: 71.8918, aux.loss_ce: 0.1352, aux.acc_seg: 70.4886, loss: 0.4178 +2022-06-19 00:14:11,500 - mmseg - INFO - Iter [125400/160000] lr: 1.332e-05, eta: 2:17:17, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2761, decode.acc_seg: 71.7643, aux.loss_ce: 0.1340, aux.acc_seg: 70.1577, loss: 0.4100 +2022-06-19 00:14:22,795 - mmseg - INFO - Iter [125450/160000] lr: 1.330e-05, eta: 2:17:05, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2602, decode.acc_seg: 71.3976, aux.loss_ce: 0.1255, aux.acc_seg: 70.0168, loss: 0.3857 +2022-06-19 00:14:34,093 - mmseg - INFO - Iter [125500/160000] lr: 1.328e-05, eta: 2:16:52, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2792, decode.acc_seg: 72.7274, aux.loss_ce: 0.1358, aux.acc_seg: 71.0301, loss: 0.4149 +2022-06-19 00:14:45,540 - mmseg - INFO - Iter [125550/160000] lr: 1.326e-05, eta: 2:16:40, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2739, decode.acc_seg: 71.6084, aux.loss_ce: 0.1324, aux.acc_seg: 70.1357, loss: 0.4063 +2022-06-19 00:14:56,861 - mmseg - INFO - Iter [125600/160000] lr: 1.324e-05, eta: 2:16:28, time: 0.227, data_time: 0.005, memory: 36327, decode.loss_ce: 0.3000, decode.acc_seg: 72.0305, aux.loss_ce: 0.1453, aux.acc_seg: 70.4584, loss: 0.4453 +2022-06-19 00:15:07,902 - mmseg - INFO - Iter [125650/160000] lr: 1.323e-05, eta: 2:16:15, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2883, decode.acc_seg: 72.0907, aux.loss_ce: 0.1382, aux.acc_seg: 70.6311, loss: 0.4265 +2022-06-19 00:15:19,364 - mmseg - INFO - Iter [125700/160000] lr: 1.321e-05, eta: 2:16:03, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2803, decode.acc_seg: 71.7721, aux.loss_ce: 0.1383, aux.acc_seg: 70.1071, loss: 0.4186 +2022-06-19 00:15:32,843 - mmseg - INFO - Iter [125750/160000] lr: 1.319e-05, eta: 2:15:52, time: 0.270, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2884, decode.acc_seg: 71.5094, aux.loss_ce: 0.1389, aux.acc_seg: 69.9370, loss: 0.4273 +2022-06-19 00:15:44,282 - mmseg - INFO - Iter [125800/160000] lr: 1.317e-05, eta: 2:15:40, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.3078, decode.acc_seg: 70.0950, aux.loss_ce: 0.1488, aux.acc_seg: 68.3451, loss: 0.4566 +2022-06-19 00:15:55,410 - mmseg - INFO - Iter [125850/160000] lr: 1.315e-05, eta: 2:15:28, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2599, decode.acc_seg: 72.6175, aux.loss_ce: 0.1279, aux.acc_seg: 70.9257, loss: 0.3878 +2022-06-19 00:16:06,809 - mmseg - INFO - Iter [125900/160000] lr: 1.313e-05, eta: 2:15:15, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2902, decode.acc_seg: 72.4491, aux.loss_ce: 0.1392, aux.acc_seg: 70.9020, loss: 0.4294 +2022-06-19 00:16:17,951 - mmseg - INFO - Iter [125950/160000] lr: 1.311e-05, eta: 2:15:03, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2828, decode.acc_seg: 72.1161, aux.loss_ce: 0.1354, aux.acc_seg: 70.5830, loss: 0.4182 +2022-06-19 00:16:29,306 - mmseg - INFO - Saving checkpoint at 126000 iterations +2022-06-19 00:16:30,278 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:16:30,278 - mmseg - INFO - Iter [126000/160000] lr: 1.309e-05, eta: 2:14:51, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2785, decode.acc_seg: 70.9568, aux.loss_ce: 0.1342, aux.acc_seg: 69.5428, loss: 0.4127 +2022-06-19 00:16:41,226 - mmseg - INFO - Iter [126050/160000] lr: 1.307e-05, eta: 2:14:39, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2803, decode.acc_seg: 71.7929, aux.loss_ce: 0.1352, aux.acc_seg: 70.2455, loss: 0.4154 +2022-06-19 00:16:52,345 - mmseg - INFO - Iter [126100/160000] lr: 1.305e-05, eta: 2:14:26, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2875, decode.acc_seg: 71.5831, aux.loss_ce: 0.1343, aux.acc_seg: 70.3147, loss: 0.4218 +2022-06-19 00:17:03,318 - mmseg - INFO - Iter [126150/160000] lr: 1.303e-05, eta: 2:14:14, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2640, decode.acc_seg: 71.8010, aux.loss_ce: 0.1297, aux.acc_seg: 70.2954, loss: 0.3937 +2022-06-19 00:17:14,862 - mmseg - INFO - Iter [126200/160000] lr: 1.301e-05, eta: 2:14:02, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2743, decode.acc_seg: 71.5078, aux.loss_ce: 0.1335, aux.acc_seg: 69.8917, loss: 0.4078 +2022-06-19 00:17:26,356 - mmseg - INFO - Iter [126250/160000] lr: 1.299e-05, eta: 2:13:49, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2822, decode.acc_seg: 72.5433, aux.loss_ce: 0.1371, aux.acc_seg: 71.0879, loss: 0.4193 +2022-06-19 00:17:37,585 - mmseg - INFO - Iter [126300/160000] lr: 1.298e-05, eta: 2:13:37, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2686, decode.acc_seg: 71.8503, aux.loss_ce: 0.1299, aux.acc_seg: 70.4968, loss: 0.3985 +2022-06-19 00:17:48,683 - mmseg - INFO - Iter [126350/160000] lr: 1.296e-05, eta: 2:13:25, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2765, decode.acc_seg: 71.6669, aux.loss_ce: 0.1338, aux.acc_seg: 70.1167, loss: 0.4103 +2022-06-19 00:17:59,914 - mmseg - INFO - Iter [126400/160000] lr: 1.294e-05, eta: 2:13:12, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2650, decode.acc_seg: 72.3488, aux.loss_ce: 0.1290, aux.acc_seg: 70.9320, loss: 0.3939 +2022-06-19 00:18:11,274 - mmseg - INFO - Iter [126450/160000] lr: 1.292e-05, eta: 2:13:00, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2807, decode.acc_seg: 72.4986, aux.loss_ce: 0.1370, aux.acc_seg: 70.8830, loss: 0.4177 +2022-06-19 00:18:22,567 - mmseg - INFO - Iter [126500/160000] lr: 1.290e-05, eta: 2:12:48, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2640, decode.acc_seg: 71.1480, aux.loss_ce: 0.1294, aux.acc_seg: 69.4978, loss: 0.3934 +2022-06-19 00:18:33,991 - mmseg - INFO - Iter [126550/160000] lr: 1.288e-05, eta: 2:12:35, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2741, decode.acc_seg: 72.1346, aux.loss_ce: 0.1320, aux.acc_seg: 70.8971, loss: 0.4061 +2022-06-19 00:18:45,012 - mmseg - INFO - Iter [126600/160000] lr: 1.286e-05, eta: 2:12:23, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2735, decode.acc_seg: 70.8291, aux.loss_ce: 0.1321, aux.acc_seg: 69.3341, loss: 0.4056 +2022-06-19 00:18:56,263 - mmseg - INFO - Iter [126650/160000] lr: 1.284e-05, eta: 2:12:11, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2884, decode.acc_seg: 72.2237, aux.loss_ce: 0.1393, aux.acc_seg: 70.6084, loss: 0.4276 +2022-06-19 00:19:07,548 - mmseg - INFO - Iter [126700/160000] lr: 1.282e-05, eta: 2:11:58, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2745, decode.acc_seg: 71.0413, aux.loss_ce: 0.1345, aux.acc_seg: 69.3733, loss: 0.4090 +2022-06-19 00:19:19,140 - mmseg - INFO - Iter [126750/160000] lr: 1.280e-05, eta: 2:11:46, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2748, decode.acc_seg: 71.6947, aux.loss_ce: 0.1345, aux.acc_seg: 70.2013, loss: 0.4093 +2022-06-19 00:19:30,339 - mmseg - INFO - Iter [126800/160000] lr: 1.278e-05, eta: 2:11:34, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2813, decode.acc_seg: 71.1605, aux.loss_ce: 0.1357, aux.acc_seg: 69.6372, loss: 0.4170 +2022-06-19 00:19:41,385 - mmseg - INFO - Iter [126850/160000] lr: 1.276e-05, eta: 2:11:21, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2897, decode.acc_seg: 72.4707, aux.loss_ce: 0.1376, aux.acc_seg: 70.9775, loss: 0.4272 +2022-06-19 00:19:52,900 - mmseg - INFO - Iter [126900/160000] lr: 1.274e-05, eta: 2:11:09, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2855, decode.acc_seg: 72.0013, aux.loss_ce: 0.1371, aux.acc_seg: 70.6010, loss: 0.4226 +2022-06-19 00:20:04,093 - mmseg - INFO - Iter [126950/160000] lr: 1.272e-05, eta: 2:10:57, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2721, decode.acc_seg: 73.8791, aux.loss_ce: 0.1309, aux.acc_seg: 72.2635, loss: 0.4030 +2022-06-19 00:20:17,642 - mmseg - INFO - Saving checkpoint at 127000 iterations +2022-06-19 00:20:18,649 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:20:18,649 - mmseg - INFO - Iter [127000/160000] lr: 1.271e-05, eta: 2:10:47, time: 0.291, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2829, decode.acc_seg: 70.6389, aux.loss_ce: 0.1359, aux.acc_seg: 69.1588, loss: 0.4188 +2022-06-19 00:20:30,053 - mmseg - INFO - Iter [127050/160000] lr: 1.269e-05, eta: 2:10:34, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2592, decode.acc_seg: 72.7317, aux.loss_ce: 0.1256, aux.acc_seg: 71.4164, loss: 0.3848 +2022-06-19 00:20:41,326 - mmseg - INFO - Iter [127100/160000] lr: 1.267e-05, eta: 2:10:22, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2603, decode.acc_seg: 72.4159, aux.loss_ce: 0.1243, aux.acc_seg: 71.1310, loss: 0.3846 +2022-06-19 00:20:52,484 - mmseg - INFO - Iter [127150/160000] lr: 1.265e-05, eta: 2:10:10, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2838, decode.acc_seg: 71.4523, aux.loss_ce: 0.1380, aux.acc_seg: 69.6868, loss: 0.4217 +2022-06-19 00:21:03,804 - mmseg - INFO - Iter [127200/160000] lr: 1.263e-05, eta: 2:09:58, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2707, decode.acc_seg: 71.8353, aux.loss_ce: 0.1316, aux.acc_seg: 70.3479, loss: 0.4023 +2022-06-19 00:21:15,076 - mmseg - INFO - Iter [127250/160000] lr: 1.261e-05, eta: 2:09:45, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2912, decode.acc_seg: 71.1305, aux.loss_ce: 0.1398, aux.acc_seg: 69.7610, loss: 0.4310 +2022-06-19 00:21:26,180 - mmseg - INFO - Iter [127300/160000] lr: 1.259e-05, eta: 2:09:33, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2749, decode.acc_seg: 71.8865, aux.loss_ce: 0.1337, aux.acc_seg: 70.3632, loss: 0.4085 +2022-06-19 00:21:37,250 - mmseg - INFO - Iter [127350/160000] lr: 1.257e-05, eta: 2:09:20, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2933, decode.acc_seg: 72.3500, aux.loss_ce: 0.1454, aux.acc_seg: 70.4043, loss: 0.4387 +2022-06-19 00:21:48,187 - mmseg - INFO - Iter [127400/160000] lr: 1.255e-05, eta: 2:09:08, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2839, decode.acc_seg: 71.4173, aux.loss_ce: 0.1380, aux.acc_seg: 69.8515, loss: 0.4219 +2022-06-19 00:21:59,518 - mmseg - INFO - Iter [127450/160000] lr: 1.253e-05, eta: 2:08:56, time: 0.226, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2835, decode.acc_seg: 70.7397, aux.loss_ce: 0.1383, aux.acc_seg: 69.1448, loss: 0.4218 +2022-06-19 00:22:10,760 - mmseg - INFO - Iter [127500/160000] lr: 1.251e-05, eta: 2:08:43, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2787, decode.acc_seg: 70.4179, aux.loss_ce: 0.1333, aux.acc_seg: 68.9303, loss: 0.4120 +2022-06-19 00:22:22,263 - mmseg - INFO - Iter [127550/160000] lr: 1.249e-05, eta: 2:08:31, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2786, decode.acc_seg: 71.3830, aux.loss_ce: 0.1351, aux.acc_seg: 69.7940, loss: 0.4137 +2022-06-19 00:22:33,500 - mmseg - INFO - Iter [127600/160000] lr: 1.247e-05, eta: 2:08:19, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2747, decode.acc_seg: 71.5665, aux.loss_ce: 0.1330, aux.acc_seg: 70.0513, loss: 0.4077 +2022-06-19 00:22:44,904 - mmseg - INFO - Iter [127650/160000] lr: 1.246e-05, eta: 2:08:07, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2863, decode.acc_seg: 70.4868, aux.loss_ce: 0.1374, aux.acc_seg: 69.1738, loss: 0.4237 +2022-06-19 00:22:56,213 - mmseg - INFO - Iter [127700/160000] lr: 1.244e-05, eta: 2:07:54, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2761, decode.acc_seg: 72.0869, aux.loss_ce: 0.1341, aux.acc_seg: 70.5873, loss: 0.4101 +2022-06-19 00:23:07,624 - mmseg - INFO - Iter [127750/160000] lr: 1.242e-05, eta: 2:07:42, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2649, decode.acc_seg: 72.3512, aux.loss_ce: 0.1291, aux.acc_seg: 70.8473, loss: 0.3940 +2022-06-19 00:23:19,107 - mmseg - INFO - Iter [127800/160000] lr: 1.240e-05, eta: 2:07:30, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2779, decode.acc_seg: 72.5211, aux.loss_ce: 0.1360, aux.acc_seg: 70.8625, loss: 0.4139 +2022-06-19 00:23:30,289 - mmseg - INFO - Iter [127850/160000] lr: 1.238e-05, eta: 2:07:18, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2738, decode.acc_seg: 71.9456, aux.loss_ce: 0.1331, aux.acc_seg: 70.3478, loss: 0.4068 +2022-06-19 00:23:41,689 - mmseg - INFO - Iter [127900/160000] lr: 1.236e-05, eta: 2:07:05, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2668, decode.acc_seg: 71.7001, aux.loss_ce: 0.1287, aux.acc_seg: 70.0746, loss: 0.3955 +2022-06-19 00:23:52,946 - mmseg - INFO - Iter [127950/160000] lr: 1.234e-05, eta: 2:06:53, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2757, decode.acc_seg: 72.5378, aux.loss_ce: 0.1339, aux.acc_seg: 70.9981, loss: 0.4096 +2022-06-19 00:24:03,976 - mmseg - INFO - Saving checkpoint at 128000 iterations +2022-06-19 00:24:05,051 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:24:05,051 - mmseg - INFO - Iter [128000/160000] lr: 1.232e-05, eta: 2:06:41, time: 0.242, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2661, decode.acc_seg: 72.9254, aux.loss_ce: 0.1306, aux.acc_seg: 71.2972, loss: 0.3967 +2022-06-19 00:24:23,579 - mmseg - INFO - per class results: +2022-06-19 00:24:23,587 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 74.64 | 86.82 | +| building | 80.55 | 92.99 | +| sky | 94.23 | 97.42 | +| floor | 79.26 | 89.64 | +| tree | 72.94 | 87.11 | +| ceiling | 82.23 | 91.66 | +| road | 80.38 | 87.07 | +| bed | 86.05 | 94.68 | +| windowpane | 58.87 | 74.92 | +| grass | 64.9 | 80.38 | +| cabinet | 59.07 | 73.69 | +| sidewalk | 60.13 | 80.67 | +| person | 75.7 | 90.47 | +| earth | 31.17 | 44.34 | +| door | 41.73 | 54.97 | +| table | 52.12 | 69.19 | +| mountain | 52.96 | 69.96 | +| plant | 49.7 | 62.46 | +| curtain | 68.36 | 80.98 | +| chair | 47.01 | 61.58 | +| car | 79.58 | 89.96 | +| water | 52.32 | 65.82 | +| painting | 67.12 | 82.54 | +| sofa | 58.94 | 77.67 | +| shelf | 39.31 | 55.85 | +| house | 37.21 | 43.21 | +| sea | 60.04 | 88.11 | +| mirror | 63.87 | 72.85 | +| rug | 62.43 | 67.87 | +| field | 29.78 | 43.61 | +| armchair | 36.12 | 55.78 | +| seat | 59.96 | 70.55 | +| fence | 40.06 | 57.08 | +| desk | 42.16 | 62.26 | +| rock | 41.61 | 65.63 | +| wardrobe | 45.55 | 58.11 | +| lamp | 55.2 | 67.32 | +| bathtub | 69.46 | 73.72 | +| railing | 30.19 | 41.66 | +| cushion | 47.48 | 58.1 | +| base | 24.26 | 38.14 | +| box | 20.34 | 29.2 | +| column | 41.5 | 54.66 | +| signboard | 30.73 | 43.51 | +| chest of drawers | 33.76 | 50.7 | +| counter | 30.38 | 37.25 | +| sand | 33.93 | 56.8 | +| sink | 67.31 | 76.83 | +| skyscraper | 62.11 | 74.39 | +| fireplace | 66.36 | 84.25 | +| refrigerator | 69.1 | 76.48 | +| grandstand | 44.49 | 74.19 | +| path | 19.19 | 30.08 | +| stairs | 28.76 | 36.78 | +| runway | 69.54 | 90.53 | +| case | 42.99 | 51.61 | +| pool table | 89.16 | 95.88 | +| pillow | 57.12 | 74.71 | +| screen door | 58.81 | 65.15 | +| stairway | 28.9 | 39.71 | +| river | 10.95 | 18.0 | +| bridge | 56.9 | 70.62 | +| bookcase | 42.51 | 58.91 | +| blind | 43.68 | 49.99 | +| coffee table | 53.6 | 82.47 | +| toilet | 80.65 | 87.04 | +| flower | 32.35 | 42.16 | +| book | 41.92 | 65.04 | +| hill | 15.27 | 20.53 | +| bench | 32.86 | 42.72 | +| countertop | 54.89 | 80.64 | +| stove | 67.96 | 82.03 | +| palm | 46.85 | 67.07 | +| kitchen island | 42.85 | 74.1 | +| computer | 52.0 | 67.27 | +| swivel chair | 41.48 | 64.72 | +| boat | 61.83 | 75.52 | +| bar | 30.32 | 34.69 | +| arcade machine | 42.73 | 45.72 | +| hovel | 13.9 | 15.3 | +| bus | 68.99 | 89.74 | +| towel | 51.42 | 59.09 | +| light | 48.48 | 54.77 | +| truck | 13.31 | 16.93 | +| tower | 14.56 | 24.22 | +| chandelier | 60.5 | 72.92 | +| awning | 18.34 | 24.96 | +| streetlight | 18.25 | 23.53 | +| booth | 58.68 | 64.26 | +| television receiver | 46.83 | 74.39 | +| airplane | 58.01 | 68.57 | +| dirt track | 2.63 | 4.23 | +| apparel | 33.82 | 49.24 | +| pole | 18.83 | 26.0 | +| land | 3.35 | 5.3 | +| bannister | 3.06 | 4.11 | +| escalator | 13.85 | 15.6 | +| ottoman | 28.91 | 38.6 | +| bottle | 32.01 | 48.86 | +| buffet | 36.26 | 45.09 | +| poster | 23.25 | 27.67 | +| stage | 11.49 | 16.16 | +| van | 34.35 | 41.67 | +| ship | 71.38 | 74.94 | +| fountain | 11.52 | 12.53 | +| conveyer belt | 67.73 | 86.42 | +| canopy | 26.24 | 30.71 | +| washer | 63.84 | 73.3 | +| plaything | 14.2 | 21.49 | +| swimming pool | 55.62 | 62.84 | +| stool | 22.43 | 29.51 | +| barrel | 15.9 | 36.02 | +| basket | 21.35 | 27.69 | +| waterfall | 69.71 | 90.95 | +| tent | 80.14 | 99.06 | +| bag | 4.62 | 5.63 | +| minibike | 48.44 | 62.78 | +| cradle | 74.12 | 96.26 | +| oven | 19.9 | 37.98 | +| ball | 42.05 | 48.42 | +| food | 50.46 | 61.72 | +| step | 7.98 | 9.19 | +| tank | 33.59 | 40.11 | +| trade name | 21.27 | 24.04 | +| microwave | 35.01 | 39.49 | +| pot | 32.25 | 39.48 | +| animal | 54.33 | 57.07 | +| bicycle | 43.14 | 69.54 | +| lake | 58.57 | 63.59 | +| dishwasher | 54.71 | 66.12 | +| screen | 61.66 | 83.79 | +| blanket | 3.41 | 3.52 | +| sculpture | 42.01 | 54.44 | +| hood | 55.8 | 69.34 | +| sconce | 40.9 | 50.3 | +| vase | 25.11 | 33.34 | +| traffic light | 26.3 | 36.29 | +| tray | 5.65 | 9.69 | +| ashcan | 30.08 | 39.02 | +| fan | 54.27 | 65.0 | +| pier | 17.44 | 45.67 | +| crt screen | 12.52 | 18.58 | +| plate | 40.17 | 46.53 | +| monitor | 56.41 | 74.44 | +| bulletin board | 32.13 | 47.52 | +| shower | 0.19 | 0.28 | +| radiator | 45.6 | 50.84 | +| glass | 2.6 | 2.66 | +| clock | 23.75 | 31.92 | +| flag | 29.25 | 31.58 | ++---------------------+-------+-------+ +2022-06-19 00:24:23,588 - mmseg - INFO - Summary: +2022-06-19 00:24:23,588 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 80.91 | 43.46 | 55.01 | ++-------+-------+-------+ +2022-06-19 00:24:23,591 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_112000.pth was removed +2022-06-19 00:24:24,429 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_128000.pth. +2022-06-19 00:24:24,430 - mmseg - INFO - Best mIoU is 0.4346 at 128000 iter. +2022-06-19 00:24:24,438 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:24:24,438 - mmseg - INFO - Iter(val) [250] aAcc: 0.8091, mIoU: 0.4346, mAcc: 0.5501, IoU.wall: 0.7464, IoU.building: 0.8055, IoU.sky: 0.9423, IoU.floor: 0.7926, IoU.tree: 0.7294, IoU.ceiling: 0.8223, IoU.road: 0.8038, IoU.bed : 0.8605, IoU.windowpane: 0.5887, IoU.grass: 0.6490, IoU.cabinet: 0.5907, IoU.sidewalk: 0.6013, IoU.person: 0.7570, IoU.earth: 0.3117, IoU.door: 0.4173, IoU.table: 0.5212, IoU.mountain: 0.5296, IoU.plant: 0.4970, IoU.curtain: 0.6836, IoU.chair: 0.4701, IoU.car: 0.7958, IoU.water: 0.5232, IoU.painting: 0.6712, IoU.sofa: 0.5894, IoU.shelf: 0.3931, IoU.house: 0.3721, IoU.sea: 0.6004, IoU.mirror: 0.6387, IoU.rug: 0.6243, IoU.field: 0.2978, IoU.armchair: 0.3612, IoU.seat: 0.5996, IoU.fence: 0.4006, IoU.desk: 0.4216, IoU.rock: 0.4161, IoU.wardrobe: 0.4555, IoU.lamp: 0.5520, IoU.bathtub: 0.6946, IoU.railing: 0.3019, IoU.cushion: 0.4748, IoU.base: 0.2426, IoU.box: 0.2034, IoU.column: 0.4150, IoU.signboard: 0.3073, IoU.chest of drawers: 0.3376, IoU.counter: 0.3038, IoU.sand: 0.3393, IoU.sink: 0.6731, IoU.skyscraper: 0.6211, IoU.fireplace: 0.6636, IoU.refrigerator: 0.6910, IoU.grandstand: 0.4449, IoU.path: 0.1919, IoU.stairs: 0.2876, IoU.runway: 0.6954, IoU.case: 0.4299, IoU.pool table: 0.8916, IoU.pillow: 0.5712, IoU.screen door: 0.5881, IoU.stairway: 0.2890, IoU.river: 0.1095, IoU.bridge: 0.5690, IoU.bookcase: 0.4251, IoU.blind: 0.4368, IoU.coffee table: 0.5360, IoU.toilet: 0.8065, IoU.flower: 0.3235, IoU.book: 0.4192, IoU.hill: 0.1527, IoU.bench: 0.3286, IoU.countertop: 0.5489, IoU.stove: 0.6796, IoU.palm: 0.4685, IoU.kitchen island: 0.4285, IoU.computer: 0.5200, IoU.swivel chair: 0.4148, IoU.boat: 0.6183, IoU.bar: 0.3032, IoU.arcade machine: 0.4273, IoU.hovel: 0.1390, IoU.bus: 0.6899, IoU.towel: 0.5142, IoU.light: 0.4848, IoU.truck: 0.1331, IoU.tower: 0.1456, IoU.chandelier: 0.6050, IoU.awning: 0.1834, IoU.streetlight: 0.1825, IoU.booth: 0.5868, IoU.television receiver: 0.4683, IoU.airplane: 0.5801, IoU.dirt track: 0.0263, IoU.apparel: 0.3382, IoU.pole: 0.1883, IoU.land: 0.0335, IoU.bannister: 0.0306, IoU.escalator: 0.1385, IoU.ottoman: 0.2891, IoU.bottle: 0.3201, IoU.buffet: 0.3626, IoU.poster: 0.2325, IoU.stage: 0.1149, IoU.van: 0.3435, IoU.ship: 0.7138, IoU.fountain: 0.1152, IoU.conveyer belt: 0.6773, IoU.canopy: 0.2624, IoU.washer: 0.6384, IoU.plaything: 0.1420, IoU.swimming pool: 0.5562, IoU.stool: 0.2243, IoU.barrel: 0.1590, IoU.basket: 0.2135, IoU.waterfall: 0.6971, IoU.tent: 0.8014, IoU.bag: 0.0462, IoU.minibike: 0.4844, IoU.cradle: 0.7412, IoU.oven: 0.1990, IoU.ball: 0.4205, IoU.food: 0.5046, IoU.step: 0.0798, IoU.tank: 0.3359, IoU.trade name: 0.2127, IoU.microwave: 0.3501, IoU.pot: 0.3225, IoU.animal: 0.5433, IoU.bicycle: 0.4314, IoU.lake: 0.5857, IoU.dishwasher: 0.5471, IoU.screen: 0.6166, IoU.blanket: 0.0341, IoU.sculpture: 0.4201, IoU.hood: 0.5580, IoU.sconce: 0.4090, IoU.vase: 0.2511, IoU.traffic light: 0.2630, IoU.tray: 0.0565, IoU.ashcan: 0.3008, IoU.fan: 0.5427, IoU.pier: 0.1744, IoU.crt screen: 0.1252, IoU.plate: 0.4017, IoU.monitor: 0.5641, IoU.bulletin board: 0.3213, IoU.shower: 0.0019, IoU.radiator: 0.4560, IoU.glass: 0.0260, IoU.clock: 0.2375, IoU.flag: 0.2925, Acc.wall: 0.8682, Acc.building: 0.9299, Acc.sky: 0.9742, Acc.floor: 0.8964, Acc.tree: 0.8711, Acc.ceiling: 0.9166, Acc.road: 0.8707, Acc.bed : 0.9468, Acc.windowpane: 0.7492, Acc.grass: 0.8038, Acc.cabinet: 0.7369, Acc.sidewalk: 0.8067, Acc.person: 0.9047, Acc.earth: 0.4434, Acc.door: 0.5497, Acc.table: 0.6919, Acc.mountain: 0.6996, Acc.plant: 0.6246, Acc.curtain: 0.8098, Acc.chair: 0.6158, Acc.car: 0.8996, Acc.water: 0.6582, Acc.painting: 0.8254, Acc.sofa: 0.7767, Acc.shelf: 0.5585, Acc.house: 0.4321, Acc.sea: 0.8811, Acc.mirror: 0.7285, Acc.rug: 0.6787, Acc.field: 0.4361, Acc.armchair: 0.5578, Acc.seat: 0.7055, Acc.fence: 0.5708, Acc.desk: 0.6226, Acc.rock: 0.6563, Acc.wardrobe: 0.5811, Acc.lamp: 0.6732, Acc.bathtub: 0.7372, Acc.railing: 0.4166, Acc.cushion: 0.5810, Acc.base: 0.3814, Acc.box: 0.2920, Acc.column: 0.5466, Acc.signboard: 0.4351, Acc.chest of drawers: 0.5070, Acc.counter: 0.3725, Acc.sand: 0.5680, Acc.sink: 0.7683, Acc.skyscraper: 0.7439, Acc.fireplace: 0.8425, Acc.refrigerator: 0.7648, Acc.grandstand: 0.7419, Acc.path: 0.3008, Acc.stairs: 0.3678, Acc.runway: 0.9053, Acc.case: 0.5161, Acc.pool table: 0.9588, Acc.pillow: 0.7471, Acc.screen door: 0.6515, Acc.stairway: 0.3971, Acc.river: 0.1800, Acc.bridge: 0.7062, Acc.bookcase: 0.5891, Acc.blind: 0.4999, Acc.coffee table: 0.8247, Acc.toilet: 0.8704, Acc.flower: 0.4216, Acc.book: 0.6504, Acc.hill: 0.2053, Acc.bench: 0.4272, Acc.countertop: 0.8064, Acc.stove: 0.8203, Acc.palm: 0.6707, Acc.kitchen island: 0.7410, Acc.computer: 0.6727, Acc.swivel chair: 0.6472, Acc.boat: 0.7552, Acc.bar: 0.3469, Acc.arcade machine: 0.4572, Acc.hovel: 0.1530, Acc.bus: 0.8974, Acc.towel: 0.5909, Acc.light: 0.5477, Acc.truck: 0.1693, Acc.tower: 0.2422, Acc.chandelier: 0.7292, Acc.awning: 0.2496, Acc.streetlight: 0.2353, Acc.booth: 0.6426, Acc.television receiver: 0.7439, Acc.airplane: 0.6857, Acc.dirt track: 0.0423, Acc.apparel: 0.4924, Acc.pole: 0.2600, Acc.land: 0.0530, Acc.bannister: 0.0411, Acc.escalator: 0.1560, Acc.ottoman: 0.3860, Acc.bottle: 0.4886, Acc.buffet: 0.4509, Acc.poster: 0.2767, Acc.stage: 0.1616, Acc.van: 0.4167, Acc.ship: 0.7494, Acc.fountain: 0.1253, Acc.conveyer belt: 0.8642, Acc.canopy: 0.3071, Acc.washer: 0.7330, Acc.plaything: 0.2149, Acc.swimming pool: 0.6284, Acc.stool: 0.2951, Acc.barrel: 0.3602, Acc.basket: 0.2769, Acc.waterfall: 0.9095, Acc.tent: 0.9906, Acc.bag: 0.0563, Acc.minibike: 0.6278, Acc.cradle: 0.9626, Acc.oven: 0.3798, Acc.ball: 0.4842, Acc.food: 0.6172, Acc.step: 0.0919, Acc.tank: 0.4011, Acc.trade name: 0.2404, Acc.microwave: 0.3949, Acc.pot: 0.3948, Acc.animal: 0.5707, Acc.bicycle: 0.6954, Acc.lake: 0.6359, Acc.dishwasher: 0.6612, Acc.screen: 0.8379, Acc.blanket: 0.0352, Acc.sculpture: 0.5444, Acc.hood: 0.6934, Acc.sconce: 0.5030, Acc.vase: 0.3334, Acc.traffic light: 0.3629, Acc.tray: 0.0969, Acc.ashcan: 0.3902, Acc.fan: 0.6500, Acc.pier: 0.4567, Acc.crt screen: 0.1858, Acc.plate: 0.4653, Acc.monitor: 0.7444, Acc.bulletin board: 0.4752, Acc.shower: 0.0028, Acc.radiator: 0.5084, Acc.glass: 0.0266, Acc.clock: 0.3192, Acc.flag: 0.3158 +2022-06-19 00:24:35,509 - mmseg - INFO - Iter [128050/160000] lr: 1.230e-05, eta: 2:06:42, time: 0.609, data_time: 0.392, memory: 36327, decode.loss_ce: 0.2777, decode.acc_seg: 72.3913, aux.loss_ce: 0.1347, aux.acc_seg: 70.9111, loss: 0.4124 +2022-06-19 00:24:46,837 - mmseg - INFO - Iter [128100/160000] lr: 1.228e-05, eta: 2:06:29, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2777, decode.acc_seg: 70.9505, aux.loss_ce: 0.1330, aux.acc_seg: 69.4813, loss: 0.4107 +2022-06-19 00:24:58,304 - mmseg - INFO - Iter [128150/160000] lr: 1.226e-05, eta: 2:06:17, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2864, decode.acc_seg: 72.4591, aux.loss_ce: 0.1396, aux.acc_seg: 70.9107, loss: 0.4260 +2022-06-19 00:25:09,278 - mmseg - INFO - Iter [128200/160000] lr: 1.224e-05, eta: 2:06:05, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2830, decode.acc_seg: 71.8222, aux.loss_ce: 0.1376, aux.acc_seg: 70.3578, loss: 0.4206 +2022-06-19 00:25:20,214 - mmseg - INFO - Iter [128250/160000] lr: 1.222e-05, eta: 2:05:52, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2890, decode.acc_seg: 72.2935, aux.loss_ce: 0.1392, aux.acc_seg: 70.8776, loss: 0.4282 +2022-06-19 00:25:33,513 - mmseg - INFO - Iter [128300/160000] lr: 1.221e-05, eta: 2:05:41, time: 0.266, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2839, decode.acc_seg: 71.5259, aux.loss_ce: 0.1368, aux.acc_seg: 69.9738, loss: 0.4207 +2022-06-19 00:25:44,849 - mmseg - INFO - Iter [128350/160000] lr: 1.219e-05, eta: 2:05:29, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2627, decode.acc_seg: 72.2282, aux.loss_ce: 0.1294, aux.acc_seg: 70.5981, loss: 0.3921 +2022-06-19 00:25:55,984 - mmseg - INFO - Iter [128400/160000] lr: 1.217e-05, eta: 2:05:17, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2587, decode.acc_seg: 71.1450, aux.loss_ce: 0.1266, aux.acc_seg: 69.6355, loss: 0.3854 +2022-06-19 00:26:07,025 - mmseg - INFO - Iter [128450/160000] lr: 1.215e-05, eta: 2:05:04, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2727, decode.acc_seg: 72.3530, aux.loss_ce: 0.1331, aux.acc_seg: 70.7427, loss: 0.4058 +2022-06-19 00:26:18,414 - mmseg - INFO - Iter [128500/160000] lr: 1.213e-05, eta: 2:04:52, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2667, decode.acc_seg: 72.3400, aux.loss_ce: 0.1309, aux.acc_seg: 70.6804, loss: 0.3976 +2022-06-19 00:26:29,778 - mmseg - INFO - Iter [128550/160000] lr: 1.211e-05, eta: 2:04:40, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2844, decode.acc_seg: 72.1777, aux.loss_ce: 0.1385, aux.acc_seg: 70.4905, loss: 0.4229 +2022-06-19 00:26:41,139 - mmseg - INFO - Iter [128600/160000] lr: 1.209e-05, eta: 2:04:28, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2776, decode.acc_seg: 73.3511, aux.loss_ce: 0.1365, aux.acc_seg: 71.7891, loss: 0.4141 +2022-06-19 00:26:52,649 - mmseg - INFO - Iter [128650/160000] lr: 1.207e-05, eta: 2:04:15, time: 0.230, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2597, decode.acc_seg: 73.3941, aux.loss_ce: 0.1274, aux.acc_seg: 71.7893, loss: 0.3871 +2022-06-19 00:27:04,005 - mmseg - INFO - Iter [128700/160000] lr: 1.205e-05, eta: 2:04:03, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2865, decode.acc_seg: 73.1074, aux.loss_ce: 0.1384, aux.acc_seg: 71.6194, loss: 0.4248 +2022-06-19 00:27:15,401 - mmseg - INFO - Iter [128750/160000] lr: 1.203e-05, eta: 2:03:51, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2686, decode.acc_seg: 72.1823, aux.loss_ce: 0.1321, aux.acc_seg: 70.6481, loss: 0.4008 +2022-06-19 00:27:26,406 - mmseg - INFO - Iter [128800/160000] lr: 1.201e-05, eta: 2:03:39, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2713, decode.acc_seg: 71.2970, aux.loss_ce: 0.1311, aux.acc_seg: 69.9228, loss: 0.4023 +2022-06-19 00:27:37,599 - mmseg - INFO - Iter [128850/160000] lr: 1.199e-05, eta: 2:03:26, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2718, decode.acc_seg: 71.4967, aux.loss_ce: 0.1332, aux.acc_seg: 69.8489, loss: 0.4050 +2022-06-19 00:27:48,741 - mmseg - INFO - Iter [128900/160000] lr: 1.197e-05, eta: 2:03:14, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2794, decode.acc_seg: 72.8288, aux.loss_ce: 0.1376, aux.acc_seg: 70.9818, loss: 0.4170 +2022-06-19 00:27:59,954 - mmseg - INFO - Iter [128950/160000] lr: 1.195e-05, eta: 2:03:02, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2560, decode.acc_seg: 71.3491, aux.loss_ce: 0.1249, aux.acc_seg: 69.7756, loss: 0.3809 +2022-06-19 00:28:11,414 - mmseg - INFO - Saving checkpoint at 129000 iterations +2022-06-19 00:28:12,410 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:28:12,410 - mmseg - INFO - Iter [129000/160000] lr: 1.194e-05, eta: 2:02:50, time: 0.249, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2703, decode.acc_seg: 71.8929, aux.loss_ce: 0.1305, aux.acc_seg: 70.4828, loss: 0.4008 +2022-06-19 00:28:23,877 - mmseg - INFO - Iter [129050/160000] lr: 1.192e-05, eta: 2:02:38, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2702, decode.acc_seg: 72.1328, aux.loss_ce: 0.1335, aux.acc_seg: 70.3722, loss: 0.4038 +2022-06-19 00:28:35,196 - mmseg - INFO - Iter [129100/160000] lr: 1.190e-05, eta: 2:02:26, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2710, decode.acc_seg: 73.7023, aux.loss_ce: 0.1321, aux.acc_seg: 72.1038, loss: 0.4031 +2022-06-19 00:28:46,323 - mmseg - INFO - Iter [129150/160000] lr: 1.188e-05, eta: 2:02:13, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2842, decode.acc_seg: 70.8729, aux.loss_ce: 0.1379, aux.acc_seg: 69.2321, loss: 0.4221 +2022-06-19 00:28:57,441 - mmseg - INFO - Iter [129200/160000] lr: 1.186e-05, eta: 2:02:01, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2567, decode.acc_seg: 72.1698, aux.loss_ce: 0.1239, aux.acc_seg: 70.8652, loss: 0.3806 +2022-06-19 00:29:08,850 - mmseg - INFO - Iter [129250/160000] lr: 1.184e-05, eta: 2:01:49, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2758, decode.acc_seg: 70.7245, aux.loss_ce: 0.1345, aux.acc_seg: 69.3500, loss: 0.4103 +2022-06-19 00:29:20,158 - mmseg - INFO - Iter [129300/160000] lr: 1.182e-05, eta: 2:01:36, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2645, decode.acc_seg: 70.5519, aux.loss_ce: 0.1297, aux.acc_seg: 69.0394, loss: 0.3942 +2022-06-19 00:29:31,537 - mmseg - INFO - Iter [129350/160000] lr: 1.180e-05, eta: 2:01:24, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2742, decode.acc_seg: 72.6271, aux.loss_ce: 0.1324, aux.acc_seg: 71.0880, loss: 0.4065 +2022-06-19 00:29:43,147 - mmseg - INFO - Iter [129400/160000] lr: 1.178e-05, eta: 2:01:12, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2778, decode.acc_seg: 72.1292, aux.loss_ce: 0.1356, aux.acc_seg: 70.4645, loss: 0.4134 +2022-06-19 00:29:54,585 - mmseg - INFO - Iter [129450/160000] lr: 1.176e-05, eta: 2:01:00, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2951, decode.acc_seg: 71.7283, aux.loss_ce: 0.1430, aux.acc_seg: 70.1332, loss: 0.4381 +2022-06-19 00:30:05,998 - mmseg - INFO - Iter [129500/160000] lr: 1.174e-05, eta: 2:00:48, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2747, decode.acc_seg: 72.5735, aux.loss_ce: 0.1341, aux.acc_seg: 71.0226, loss: 0.4088 +2022-06-19 00:30:19,465 - mmseg - INFO - Iter [129550/160000] lr: 1.172e-05, eta: 2:00:37, time: 0.269, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2836, decode.acc_seg: 72.5601, aux.loss_ce: 0.1383, aux.acc_seg: 70.9372, loss: 0.4219 +2022-06-19 00:30:31,011 - mmseg - INFO - Iter [129600/160000] lr: 1.170e-05, eta: 2:00:25, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2817, decode.acc_seg: 73.2298, aux.loss_ce: 0.1383, aux.acc_seg: 71.4750, loss: 0.4200 +2022-06-19 00:30:42,200 - mmseg - INFO - Iter [129650/160000] lr: 1.169e-05, eta: 2:00:13, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2956, decode.acc_seg: 72.7938, aux.loss_ce: 0.1438, aux.acc_seg: 71.2127, loss: 0.4394 +2022-06-19 00:30:53,569 - mmseg - INFO - Iter [129700/160000] lr: 1.167e-05, eta: 2:00:00, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2578, decode.acc_seg: 73.0272, aux.loss_ce: 0.1257, aux.acc_seg: 71.6199, loss: 0.3835 +2022-06-19 00:31:05,005 - mmseg - INFO - Iter [129750/160000] lr: 1.165e-05, eta: 1:59:48, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2594, decode.acc_seg: 72.4656, aux.loss_ce: 0.1282, aux.acc_seg: 70.8182, loss: 0.3876 +2022-06-19 00:31:16,259 - mmseg - INFO - Iter [129800/160000] lr: 1.163e-05, eta: 1:59:36, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2506, decode.acc_seg: 72.9408, aux.loss_ce: 0.1241, aux.acc_seg: 71.3169, loss: 0.3746 +2022-06-19 00:31:27,577 - mmseg - INFO - Iter [129850/160000] lr: 1.161e-05, eta: 1:59:24, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2748, decode.acc_seg: 71.2767, aux.loss_ce: 0.1338, aux.acc_seg: 69.6976, loss: 0.4086 +2022-06-19 00:31:38,688 - mmseg - INFO - Iter [129900/160000] lr: 1.159e-05, eta: 1:59:11, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2673, decode.acc_seg: 72.4052, aux.loss_ce: 0.1314, aux.acc_seg: 70.8037, loss: 0.3987 +2022-06-19 00:31:50,039 - mmseg - INFO - Iter [129950/160000] lr: 1.157e-05, eta: 1:58:59, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2631, decode.acc_seg: 70.2226, aux.loss_ce: 0.1290, aux.acc_seg: 68.6205, loss: 0.3920 +2022-06-19 00:32:01,477 - mmseg - INFO - Saving checkpoint at 130000 iterations +2022-06-19 00:32:02,428 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:32:02,429 - mmseg - INFO - Iter [130000/160000] lr: 1.155e-05, eta: 1:58:48, time: 0.248, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2661, decode.acc_seg: 71.4289, aux.loss_ce: 0.1297, aux.acc_seg: 69.8298, loss: 0.3958 +2022-06-19 00:32:13,532 - mmseg - INFO - Iter [130050/160000] lr: 1.153e-05, eta: 1:58:35, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2766, decode.acc_seg: 71.2829, aux.loss_ce: 0.1349, aux.acc_seg: 69.7469, loss: 0.4115 +2022-06-19 00:32:24,969 - mmseg - INFO - Iter [130100/160000] lr: 1.151e-05, eta: 1:58:23, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2580, decode.acc_seg: 72.6024, aux.loss_ce: 0.1251, aux.acc_seg: 71.1676, loss: 0.3831 +2022-06-19 00:32:36,354 - mmseg - INFO - Iter [130150/160000] lr: 1.149e-05, eta: 1:58:11, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2650, decode.acc_seg: 71.7104, aux.loss_ce: 0.1281, aux.acc_seg: 70.2004, loss: 0.3930 +2022-06-19 00:32:47,653 - mmseg - INFO - Iter [130200/160000] lr: 1.147e-05, eta: 1:57:59, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2844, decode.acc_seg: 71.0241, aux.loss_ce: 0.1385, aux.acc_seg: 69.3945, loss: 0.4228 +2022-06-19 00:32:58,917 - mmseg - INFO - Iter [130250/160000] lr: 1.145e-05, eta: 1:57:47, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2694, decode.acc_seg: 72.6155, aux.loss_ce: 0.1318, aux.acc_seg: 71.0180, loss: 0.4012 +2022-06-19 00:33:10,132 - mmseg - INFO - Iter [130300/160000] lr: 1.144e-05, eta: 1:57:34, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2732, decode.acc_seg: 71.8848, aux.loss_ce: 0.1347, aux.acc_seg: 70.2888, loss: 0.4079 +2022-06-19 00:33:21,488 - mmseg - INFO - Iter [130350/160000] lr: 1.142e-05, eta: 1:57:22, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2609, decode.acc_seg: 73.3945, aux.loss_ce: 0.1266, aux.acc_seg: 72.0604, loss: 0.3875 +2022-06-19 00:33:32,752 - mmseg - INFO - Iter [130400/160000] lr: 1.140e-05, eta: 1:57:10, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2640, decode.acc_seg: 70.4217, aux.loss_ce: 0.1286, aux.acc_seg: 68.9436, loss: 0.3925 +2022-06-19 00:33:44,099 - mmseg - INFO - Iter [130450/160000] lr: 1.138e-05, eta: 1:56:58, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2571, decode.acc_seg: 72.4930, aux.loss_ce: 0.1276, aux.acc_seg: 70.9025, loss: 0.3847 +2022-06-19 00:33:55,367 - mmseg - INFO - Iter [130500/160000] lr: 1.136e-05, eta: 1:56:46, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.3017, decode.acc_seg: 71.5550, aux.loss_ce: 0.1456, aux.acc_seg: 70.0840, loss: 0.4473 +2022-06-19 00:34:06,741 - mmseg - INFO - Iter [130550/160000] lr: 1.134e-05, eta: 1:56:33, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2698, decode.acc_seg: 71.4521, aux.loss_ce: 0.1303, aux.acc_seg: 70.1199, loss: 0.4001 +2022-06-19 00:34:18,141 - mmseg - INFO - Iter [130600/160000] lr: 1.132e-05, eta: 1:56:21, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2819, decode.acc_seg: 71.9220, aux.loss_ce: 0.1353, aux.acc_seg: 70.4574, loss: 0.4172 +2022-06-19 00:34:29,555 - mmseg - INFO - Iter [130650/160000] lr: 1.130e-05, eta: 1:56:09, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2735, decode.acc_seg: 71.7535, aux.loss_ce: 0.1309, aux.acc_seg: 70.3428, loss: 0.4043 +2022-06-19 00:34:40,886 - mmseg - INFO - Iter [130700/160000] lr: 1.128e-05, eta: 1:55:57, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2693, decode.acc_seg: 71.6764, aux.loss_ce: 0.1307, aux.acc_seg: 70.1422, loss: 0.4000 +2022-06-19 00:34:52,150 - mmseg - INFO - Iter [130750/160000] lr: 1.126e-05, eta: 1:55:45, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2799, decode.acc_seg: 71.4675, aux.loss_ce: 0.1360, aux.acc_seg: 69.9866, loss: 0.4159 +2022-06-19 00:35:05,706 - mmseg - INFO - Iter [130800/160000] lr: 1.124e-05, eta: 1:55:34, time: 0.271, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2785, decode.acc_seg: 72.4402, aux.loss_ce: 0.1366, aux.acc_seg: 70.8307, loss: 0.4151 +2022-06-19 00:35:16,803 - mmseg - INFO - Iter [130850/160000] lr: 1.122e-05, eta: 1:55:21, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2578, decode.acc_seg: 70.1552, aux.loss_ce: 0.1255, aux.acc_seg: 68.6565, loss: 0.3834 +2022-06-19 00:35:27,915 - mmseg - INFO - Iter [130900/160000] lr: 1.120e-05, eta: 1:55:09, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2935, decode.acc_seg: 70.6326, aux.loss_ce: 0.1427, aux.acc_seg: 69.1176, loss: 0.4362 +2022-06-19 00:35:39,220 - mmseg - INFO - Iter [130950/160000] lr: 1.118e-05, eta: 1:54:57, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2711, decode.acc_seg: 72.6549, aux.loss_ce: 0.1324, aux.acc_seg: 71.0604, loss: 0.4035 +2022-06-19 00:35:50,633 - mmseg - INFO - Saving checkpoint at 131000 iterations +2022-06-19 00:35:51,575 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:35:51,576 - mmseg - INFO - Iter [131000/160000] lr: 1.117e-05, eta: 1:54:45, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2683, decode.acc_seg: 72.9504, aux.loss_ce: 0.1306, aux.acc_seg: 71.4393, loss: 0.3989 +2022-06-19 00:36:02,932 - mmseg - INFO - Iter [131050/160000] lr: 1.115e-05, eta: 1:54:33, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2756, decode.acc_seg: 72.8764, aux.loss_ce: 0.1353, aux.acc_seg: 71.3995, loss: 0.4109 +2022-06-19 00:36:14,326 - mmseg - INFO - Iter [131100/160000] lr: 1.113e-05, eta: 1:54:21, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2733, decode.acc_seg: 71.5055, aux.loss_ce: 0.1370, aux.acc_seg: 69.6371, loss: 0.4103 +2022-06-19 00:36:25,418 - mmseg - INFO - Iter [131150/160000] lr: 1.111e-05, eta: 1:54:09, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2482, decode.acc_seg: 72.4213, aux.loss_ce: 0.1233, aux.acc_seg: 70.7694, loss: 0.3716 +2022-06-19 00:36:36,870 - mmseg - INFO - Iter [131200/160000] lr: 1.109e-05, eta: 1:53:57, time: 0.229, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2721, decode.acc_seg: 71.9033, aux.loss_ce: 0.1317, aux.acc_seg: 70.3535, loss: 0.4039 +2022-06-19 00:36:48,357 - mmseg - INFO - Iter [131250/160000] lr: 1.107e-05, eta: 1:53:45, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2568, decode.acc_seg: 72.2240, aux.loss_ce: 0.1265, aux.acc_seg: 70.7625, loss: 0.3833 +2022-06-19 00:36:59,412 - mmseg - INFO - Iter [131300/160000] lr: 1.105e-05, eta: 1:53:32, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2762, decode.acc_seg: 71.9846, aux.loss_ce: 0.1358, aux.acc_seg: 70.3037, loss: 0.4121 +2022-06-19 00:37:10,701 - mmseg - INFO - Iter [131350/160000] lr: 1.103e-05, eta: 1:53:20, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2744, decode.acc_seg: 72.4481, aux.loss_ce: 0.1320, aux.acc_seg: 71.1135, loss: 0.4064 +2022-06-19 00:37:21,984 - mmseg - INFO - Iter [131400/160000] lr: 1.101e-05, eta: 1:53:08, time: 0.226, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2576, decode.acc_seg: 72.4683, aux.loss_ce: 0.1280, aux.acc_seg: 70.8651, loss: 0.3856 +2022-06-19 00:37:33,366 - mmseg - INFO - Iter [131450/160000] lr: 1.099e-05, eta: 1:52:56, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2832, decode.acc_seg: 73.3978, aux.loss_ce: 0.1377, aux.acc_seg: 71.9153, loss: 0.4209 +2022-06-19 00:37:44,852 - mmseg - INFO - Iter [131500/160000] lr: 1.097e-05, eta: 1:52:44, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2645, decode.acc_seg: 71.9506, aux.loss_ce: 0.1279, aux.acc_seg: 70.4315, loss: 0.3924 +2022-06-19 00:37:56,105 - mmseg - INFO - Iter [131550/160000] lr: 1.095e-05, eta: 1:52:31, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2652, decode.acc_seg: 71.9979, aux.loss_ce: 0.1296, aux.acc_seg: 70.4707, loss: 0.3948 +2022-06-19 00:38:07,318 - mmseg - INFO - Iter [131600/160000] lr: 1.093e-05, eta: 1:52:19, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2605, decode.acc_seg: 72.7416, aux.loss_ce: 0.1268, aux.acc_seg: 71.2790, loss: 0.3873 +2022-06-19 00:38:18,658 - mmseg - INFO - Iter [131650/160000] lr: 1.092e-05, eta: 1:52:07, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2688, decode.acc_seg: 71.9377, aux.loss_ce: 0.1316, aux.acc_seg: 70.3094, loss: 0.4004 +2022-06-19 00:38:29,923 - mmseg - INFO - Iter [131700/160000] lr: 1.090e-05, eta: 1:51:55, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2742, decode.acc_seg: 72.1584, aux.loss_ce: 0.1328, aux.acc_seg: 70.6205, loss: 0.4071 +2022-06-19 00:38:41,013 - mmseg - INFO - Iter [131750/160000] lr: 1.088e-05, eta: 1:51:43, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2559, decode.acc_seg: 72.1259, aux.loss_ce: 0.1257, aux.acc_seg: 70.6550, loss: 0.3816 +2022-06-19 00:38:52,088 - mmseg - INFO - Iter [131800/160000] lr: 1.086e-05, eta: 1:51:30, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2710, decode.acc_seg: 70.7758, aux.loss_ce: 0.1329, aux.acc_seg: 69.2264, loss: 0.4039 +2022-06-19 00:39:03,353 - mmseg - INFO - Iter [131850/160000] lr: 1.084e-05, eta: 1:51:18, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2701, decode.acc_seg: 71.1239, aux.loss_ce: 0.1314, aux.acc_seg: 69.6554, loss: 0.4015 +2022-06-19 00:39:14,713 - mmseg - INFO - Iter [131900/160000] lr: 1.082e-05, eta: 1:51:06, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2703, decode.acc_seg: 74.0158, aux.loss_ce: 0.1317, aux.acc_seg: 72.5708, loss: 0.4020 +2022-06-19 00:39:25,920 - mmseg - INFO - Iter [131950/160000] lr: 1.080e-05, eta: 1:50:54, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2580, decode.acc_seg: 71.1640, aux.loss_ce: 0.1255, aux.acc_seg: 69.7479, loss: 0.3835 +2022-06-19 00:39:37,379 - mmseg - INFO - Saving checkpoint at 132000 iterations +2022-06-19 00:39:38,325 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:39:38,326 - mmseg - INFO - Iter [132000/160000] lr: 1.078e-05, eta: 1:50:42, time: 0.248, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2837, decode.acc_seg: 71.6973, aux.loss_ce: 0.1387, aux.acc_seg: 69.9972, loss: 0.4223 +2022-06-19 00:39:52,030 - mmseg - INFO - Iter [132050/160000] lr: 1.076e-05, eta: 1:50:31, time: 0.274, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2777, decode.acc_seg: 71.1466, aux.loss_ce: 0.1338, aux.acc_seg: 69.7121, loss: 0.4116 +2022-06-19 00:40:03,444 - mmseg - INFO - Iter [132100/160000] lr: 1.074e-05, eta: 1:50:19, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2680, decode.acc_seg: 72.0257, aux.loss_ce: 0.1312, aux.acc_seg: 70.4995, loss: 0.3992 +2022-06-19 00:40:14,667 - mmseg - INFO - Iter [132150/160000] lr: 1.072e-05, eta: 1:50:07, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2783, decode.acc_seg: 72.4002, aux.loss_ce: 0.1376, aux.acc_seg: 70.5635, loss: 0.4158 +2022-06-19 00:40:25,874 - mmseg - INFO - Iter [132200/160000] lr: 1.070e-05, eta: 1:49:55, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2728, decode.acc_seg: 72.4605, aux.loss_ce: 0.1332, aux.acc_seg: 70.9076, loss: 0.4061 +2022-06-19 00:40:37,330 - mmseg - INFO - Iter [132250/160000] lr: 1.068e-05, eta: 1:49:43, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2659, decode.acc_seg: 71.9318, aux.loss_ce: 0.1296, aux.acc_seg: 70.4861, loss: 0.3956 +2022-06-19 00:40:48,604 - mmseg - INFO - Iter [132300/160000] lr: 1.067e-05, eta: 1:49:31, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2647, decode.acc_seg: 72.1712, aux.loss_ce: 0.1299, aux.acc_seg: 70.5023, loss: 0.3946 +2022-06-19 00:41:00,020 - mmseg - INFO - Iter [132350/160000] lr: 1.065e-05, eta: 1:49:19, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2725, decode.acc_seg: 71.5341, aux.loss_ce: 0.1323, aux.acc_seg: 70.0847, loss: 0.4048 +2022-06-19 00:41:11,471 - mmseg - INFO - Iter [132400/160000] lr: 1.063e-05, eta: 1:49:06, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2900, decode.acc_seg: 70.8749, aux.loss_ce: 0.1396, aux.acc_seg: 69.4216, loss: 0.4296 +2022-06-19 00:41:22,924 - mmseg - INFO - Iter [132450/160000] lr: 1.061e-05, eta: 1:48:54, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2548, decode.acc_seg: 72.9760, aux.loss_ce: 0.1250, aux.acc_seg: 71.4180, loss: 0.3798 +2022-06-19 00:41:34,497 - mmseg - INFO - Iter [132500/160000] lr: 1.059e-05, eta: 1:48:42, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2768, decode.acc_seg: 71.0326, aux.loss_ce: 0.1332, aux.acc_seg: 69.4951, loss: 0.4100 +2022-06-19 00:41:45,733 - mmseg - INFO - Iter [132550/160000] lr: 1.057e-05, eta: 1:48:30, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2865, decode.acc_seg: 71.5560, aux.loss_ce: 0.1419, aux.acc_seg: 69.9467, loss: 0.4283 +2022-06-19 00:41:56,872 - mmseg - INFO - Iter [132600/160000] lr: 1.055e-05, eta: 1:48:18, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2764, decode.acc_seg: 72.0426, aux.loss_ce: 0.1352, aux.acc_seg: 70.4406, loss: 0.4116 +2022-06-19 00:42:08,289 - mmseg - INFO - Iter [132650/160000] lr: 1.053e-05, eta: 1:48:06, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2683, decode.acc_seg: 72.3113, aux.loss_ce: 0.1309, aux.acc_seg: 70.8746, loss: 0.3992 +2022-06-19 00:42:19,741 - mmseg - INFO - Iter [132700/160000] lr: 1.051e-05, eta: 1:47:54, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2799, decode.acc_seg: 73.6150, aux.loss_ce: 0.1360, aux.acc_seg: 72.0456, loss: 0.4159 +2022-06-19 00:42:30,922 - mmseg - INFO - Iter [132750/160000] lr: 1.049e-05, eta: 1:47:42, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2853, decode.acc_seg: 72.0066, aux.loss_ce: 0.1383, aux.acc_seg: 70.3440, loss: 0.4236 +2022-06-19 00:42:42,437 - mmseg - INFO - Iter [132800/160000] lr: 1.047e-05, eta: 1:47:30, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2655, decode.acc_seg: 71.2148, aux.loss_ce: 0.1274, aux.acc_seg: 69.7998, loss: 0.3930 +2022-06-19 00:42:54,018 - mmseg - INFO - Iter [132850/160000] lr: 1.045e-05, eta: 1:47:18, time: 0.232, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2960, decode.acc_seg: 71.6404, aux.loss_ce: 0.1441, aux.acc_seg: 69.9075, loss: 0.4401 +2022-06-19 00:43:05,319 - mmseg - INFO - Iter [132900/160000] lr: 1.043e-05, eta: 1:47:05, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2598, decode.acc_seg: 72.5902, aux.loss_ce: 0.1274, aux.acc_seg: 71.0701, loss: 0.3872 +2022-06-19 00:43:16,805 - mmseg - INFO - Iter [132950/160000] lr: 1.041e-05, eta: 1:46:53, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2599, decode.acc_seg: 71.1709, aux.loss_ce: 0.1274, aux.acc_seg: 69.7069, loss: 0.3873 +2022-06-19 00:43:28,291 - mmseg - INFO - Saving checkpoint at 133000 iterations +2022-06-19 00:43:29,282 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:43:29,282 - mmseg - INFO - Iter [133000/160000] lr: 1.040e-05, eta: 1:46:42, time: 0.250, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2560, decode.acc_seg: 71.3083, aux.loss_ce: 0.1246, aux.acc_seg: 69.8306, loss: 0.3806 +2022-06-19 00:43:40,241 - mmseg - INFO - Iter [133050/160000] lr: 1.038e-05, eta: 1:46:30, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2537, decode.acc_seg: 73.5881, aux.loss_ce: 0.1231, aux.acc_seg: 72.1910, loss: 0.3768 +2022-06-19 00:43:51,649 - mmseg - INFO - Iter [133100/160000] lr: 1.036e-05, eta: 1:46:17, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2595, decode.acc_seg: 70.5001, aux.loss_ce: 0.1279, aux.acc_seg: 69.0424, loss: 0.3874 +2022-06-19 00:44:03,131 - mmseg - INFO - Iter [133150/160000] lr: 1.034e-05, eta: 1:46:05, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2683, decode.acc_seg: 72.0413, aux.loss_ce: 0.1312, aux.acc_seg: 70.4958, loss: 0.3995 +2022-06-19 00:44:14,348 - mmseg - INFO - Iter [133200/160000] lr: 1.032e-05, eta: 1:45:53, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2735, decode.acc_seg: 72.6126, aux.loss_ce: 0.1333, aux.acc_seg: 71.0640, loss: 0.4067 +2022-06-19 00:44:25,543 - mmseg - INFO - Iter [133250/160000] lr: 1.030e-05, eta: 1:45:41, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2807, decode.acc_seg: 72.6407, aux.loss_ce: 0.1335, aux.acc_seg: 71.2671, loss: 0.4143 +2022-06-19 00:44:36,840 - mmseg - INFO - Iter [133300/160000] lr: 1.028e-05, eta: 1:45:29, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2682, decode.acc_seg: 71.3826, aux.loss_ce: 0.1279, aux.acc_seg: 69.9693, loss: 0.3961 +2022-06-19 00:44:50,238 - mmseg - INFO - Iter [133350/160000] lr: 1.026e-05, eta: 1:45:18, time: 0.268, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2639, decode.acc_seg: 73.0674, aux.loss_ce: 0.1299, aux.acc_seg: 71.5884, loss: 0.3938 +2022-06-19 00:45:01,584 - mmseg - INFO - Iter [133400/160000] lr: 1.024e-05, eta: 1:45:06, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2650, decode.acc_seg: 71.4090, aux.loss_ce: 0.1296, aux.acc_seg: 69.7231, loss: 0.3946 +2022-06-19 00:45:12,798 - mmseg - INFO - Iter [133450/160000] lr: 1.022e-05, eta: 1:44:54, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2680, decode.acc_seg: 72.2749, aux.loss_ce: 0.1334, aux.acc_seg: 70.6477, loss: 0.4013 +2022-06-19 00:45:24,031 - mmseg - INFO - Iter [133500/160000] lr: 1.020e-05, eta: 1:44:41, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2529, decode.acc_seg: 71.6028, aux.loss_ce: 0.1246, aux.acc_seg: 70.0332, loss: 0.3775 +2022-06-19 00:45:35,316 - mmseg - INFO - Iter [133550/160000] lr: 1.018e-05, eta: 1:44:29, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2697, decode.acc_seg: 72.3246, aux.loss_ce: 0.1306, aux.acc_seg: 70.8317, loss: 0.4004 +2022-06-19 00:45:46,356 - mmseg - INFO - Iter [133600/160000] lr: 1.016e-05, eta: 1:44:17, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2643, decode.acc_seg: 73.4081, aux.loss_ce: 0.1293, aux.acc_seg: 71.9978, loss: 0.3936 +2022-06-19 00:45:57,545 - mmseg - INFO - Iter [133650/160000] lr: 1.015e-05, eta: 1:44:05, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2686, decode.acc_seg: 72.0466, aux.loss_ce: 0.1285, aux.acc_seg: 70.8390, loss: 0.3971 +2022-06-19 00:46:08,833 - mmseg - INFO - Iter [133700/160000] lr: 1.013e-05, eta: 1:43:53, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2743, decode.acc_seg: 71.2831, aux.loss_ce: 0.1332, aux.acc_seg: 69.7545, loss: 0.4075 +2022-06-19 00:46:20,188 - mmseg - INFO - Iter [133750/160000] lr: 1.011e-05, eta: 1:43:41, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2650, decode.acc_seg: 72.1974, aux.loss_ce: 0.1311, aux.acc_seg: 70.5214, loss: 0.3962 +2022-06-19 00:46:31,500 - mmseg - INFO - Iter [133800/160000] lr: 1.009e-05, eta: 1:43:29, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2702, decode.acc_seg: 72.0554, aux.loss_ce: 0.1329, aux.acc_seg: 70.4185, loss: 0.4031 +2022-06-19 00:46:42,659 - mmseg - INFO - Iter [133850/160000] lr: 1.007e-05, eta: 1:43:16, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2603, decode.acc_seg: 71.0675, aux.loss_ce: 0.1272, aux.acc_seg: 69.5206, loss: 0.3875 +2022-06-19 00:46:53,860 - mmseg - INFO - Iter [133900/160000] lr: 1.005e-05, eta: 1:43:04, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2675, decode.acc_seg: 71.5783, aux.loss_ce: 0.1309, aux.acc_seg: 69.9932, loss: 0.3984 +2022-06-19 00:47:05,108 - mmseg - INFO - Iter [133950/160000] lr: 1.003e-05, eta: 1:42:52, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2577, decode.acc_seg: 73.0042, aux.loss_ce: 0.1274, aux.acc_seg: 71.4157, loss: 0.3850 +2022-06-19 00:47:16,348 - mmseg - INFO - Saving checkpoint at 134000 iterations +2022-06-19 00:47:17,309 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:47:17,309 - mmseg - INFO - Iter [134000/160000] lr: 1.001e-05, eta: 1:42:40, time: 0.244, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2548, decode.acc_seg: 72.0442, aux.loss_ce: 0.1248, aux.acc_seg: 70.4862, loss: 0.3796 +2022-06-19 00:47:28,656 - mmseg - INFO - Iter [134050/160000] lr: 9.991e-06, eta: 1:42:28, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2619, decode.acc_seg: 71.6239, aux.loss_ce: 0.1271, aux.acc_seg: 70.0986, loss: 0.3890 +2022-06-19 00:47:40,029 - mmseg - INFO - Iter [134100/160000] lr: 9.972e-06, eta: 1:42:16, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2828, decode.acc_seg: 72.0355, aux.loss_ce: 0.1365, aux.acc_seg: 70.3985, loss: 0.4193 +2022-06-19 00:47:51,509 - mmseg - INFO - Iter [134150/160000] lr: 9.953e-06, eta: 1:42:04, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2662, decode.acc_seg: 73.0534, aux.loss_ce: 0.1282, aux.acc_seg: 71.7146, loss: 0.3944 +2022-06-19 00:48:02,932 - mmseg - INFO - Iter [134200/160000] lr: 9.934e-06, eta: 1:41:52, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2669, decode.acc_seg: 71.1332, aux.loss_ce: 0.1330, aux.acc_seg: 69.3234, loss: 0.3999 +2022-06-19 00:48:14,183 - mmseg - INFO - Iter [134250/160000] lr: 9.914e-06, eta: 1:41:40, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2631, decode.acc_seg: 71.6182, aux.loss_ce: 0.1293, aux.acc_seg: 69.9060, loss: 0.3924 +2022-06-19 00:48:25,726 - mmseg - INFO - Iter [134300/160000] lr: 9.895e-06, eta: 1:41:28, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2813, decode.acc_seg: 71.9797, aux.loss_ce: 0.1384, aux.acc_seg: 70.3255, loss: 0.4197 +2022-06-19 00:48:36,934 - mmseg - INFO - Iter [134350/160000] lr: 9.876e-06, eta: 1:41:16, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2774, decode.acc_seg: 71.5968, aux.loss_ce: 0.1359, aux.acc_seg: 69.8450, loss: 0.4133 +2022-06-19 00:48:48,221 - mmseg - INFO - Iter [134400/160000] lr: 9.857e-06, eta: 1:41:04, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2705, decode.acc_seg: 73.0778, aux.loss_ce: 0.1312, aux.acc_seg: 71.5298, loss: 0.4017 +2022-06-19 00:48:59,678 - mmseg - INFO - Iter [134450/160000] lr: 9.837e-06, eta: 1:40:52, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2589, decode.acc_seg: 72.5518, aux.loss_ce: 0.1261, aux.acc_seg: 71.0857, loss: 0.3851 +2022-06-19 00:49:11,055 - mmseg - INFO - Iter [134500/160000] lr: 9.818e-06, eta: 1:40:40, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2676, decode.acc_seg: 73.5599, aux.loss_ce: 0.1308, aux.acc_seg: 71.9930, loss: 0.3984 +2022-06-19 00:49:22,337 - mmseg - INFO - Iter [134550/160000] lr: 9.799e-06, eta: 1:40:28, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2692, decode.acc_seg: 72.1985, aux.loss_ce: 0.1323, aux.acc_seg: 70.6423, loss: 0.4015 +2022-06-19 00:49:36,042 - mmseg - INFO - Iter [134600/160000] lr: 9.780e-06, eta: 1:40:17, time: 0.274, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2667, decode.acc_seg: 72.9534, aux.loss_ce: 0.1290, aux.acc_seg: 71.3805, loss: 0.3957 +2022-06-19 00:49:47,393 - mmseg - INFO - Iter [134650/160000] lr: 9.760e-06, eta: 1:40:05, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2604, decode.acc_seg: 71.3970, aux.loss_ce: 0.1299, aux.acc_seg: 69.6742, loss: 0.3903 +2022-06-19 00:49:58,785 - mmseg - INFO - Iter [134700/160000] lr: 9.741e-06, eta: 1:39:53, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2605, decode.acc_seg: 73.4581, aux.loss_ce: 0.1279, aux.acc_seg: 71.8394, loss: 0.3883 +2022-06-19 00:50:10,128 - mmseg - INFO - Iter [134750/160000] lr: 9.722e-06, eta: 1:39:40, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2596, decode.acc_seg: 72.0306, aux.loss_ce: 0.1251, aux.acc_seg: 70.6276, loss: 0.3848 +2022-06-19 00:50:21,604 - mmseg - INFO - Iter [134800/160000] lr: 9.703e-06, eta: 1:39:28, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2651, decode.acc_seg: 72.0393, aux.loss_ce: 0.1305, aux.acc_seg: 70.4469, loss: 0.3955 +2022-06-19 00:50:33,189 - mmseg - INFO - Iter [134850/160000] lr: 9.683e-06, eta: 1:39:17, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2714, decode.acc_seg: 71.6759, aux.loss_ce: 0.1328, aux.acc_seg: 70.2072, loss: 0.4042 +2022-06-19 00:50:44,543 - mmseg - INFO - Iter [134900/160000] lr: 9.664e-06, eta: 1:39:04, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2857, decode.acc_seg: 72.1687, aux.loss_ce: 0.1378, aux.acc_seg: 70.6327, loss: 0.4234 +2022-06-19 00:50:55,913 - mmseg - INFO - Iter [134950/160000] lr: 9.645e-06, eta: 1:38:52, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2734, decode.acc_seg: 72.3214, aux.loss_ce: 0.1341, aux.acc_seg: 70.6881, loss: 0.4075 +2022-06-19 00:51:07,445 - mmseg - INFO - Saving checkpoint at 135000 iterations +2022-06-19 00:51:08,439 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:51:08,440 - mmseg - INFO - Iter [135000/160000] lr: 9.626e-06, eta: 1:38:41, time: 0.251, data_time: 0.006, memory: 36327, decode.loss_ce: 0.2875, decode.acc_seg: 72.4422, aux.loss_ce: 0.1413, aux.acc_seg: 70.7049, loss: 0.4289 +2022-06-19 00:51:19,347 - mmseg - INFO - Iter [135050/160000] lr: 9.606e-06, eta: 1:38:29, time: 0.218, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2673, decode.acc_seg: 73.5613, aux.loss_ce: 0.1296, aux.acc_seg: 71.9884, loss: 0.3969 +2022-06-19 00:51:30,765 - mmseg - INFO - Iter [135100/160000] lr: 9.587e-06, eta: 1:38:17, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2721, decode.acc_seg: 72.0430, aux.loss_ce: 0.1339, aux.acc_seg: 70.3145, loss: 0.4060 +2022-06-19 00:51:41,952 - mmseg - INFO - Iter [135150/160000] lr: 9.568e-06, eta: 1:38:04, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2635, decode.acc_seg: 70.5273, aux.loss_ce: 0.1312, aux.acc_seg: 68.7692, loss: 0.3947 +2022-06-19 00:51:53,424 - mmseg - INFO - Iter [135200/160000] lr: 9.549e-06, eta: 1:37:52, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2705, decode.acc_seg: 73.3833, aux.loss_ce: 0.1307, aux.acc_seg: 71.8975, loss: 0.4012 +2022-06-19 00:52:04,969 - mmseg - INFO - Iter [135250/160000] lr: 9.529e-06, eta: 1:37:40, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2704, decode.acc_seg: 72.8224, aux.loss_ce: 0.1311, aux.acc_seg: 71.2895, loss: 0.4015 +2022-06-19 00:52:16,451 - mmseg - INFO - Iter [135300/160000] lr: 9.510e-06, eta: 1:37:28, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2883, decode.acc_seg: 71.7589, aux.loss_ce: 0.1380, aux.acc_seg: 70.4311, loss: 0.4263 +2022-06-19 00:52:27,510 - mmseg - INFO - Iter [135350/160000] lr: 9.491e-06, eta: 1:37:16, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2615, decode.acc_seg: 73.1210, aux.loss_ce: 0.1281, aux.acc_seg: 71.6027, loss: 0.3896 +2022-06-19 00:52:38,985 - mmseg - INFO - Iter [135400/160000] lr: 9.472e-06, eta: 1:37:04, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2749, decode.acc_seg: 71.9337, aux.loss_ce: 0.1348, aux.acc_seg: 70.2348, loss: 0.4097 +2022-06-19 00:52:50,648 - mmseg - INFO - Iter [135450/160000] lr: 9.452e-06, eta: 1:36:52, time: 0.234, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2688, decode.acc_seg: 72.2760, aux.loss_ce: 0.1291, aux.acc_seg: 70.8423, loss: 0.3980 +2022-06-19 00:53:01,988 - mmseg - INFO - Iter [135500/160000] lr: 9.433e-06, eta: 1:36:40, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2546, decode.acc_seg: 72.6759, aux.loss_ce: 0.1255, aux.acc_seg: 71.1209, loss: 0.3801 +2022-06-19 00:53:13,292 - mmseg - INFO - Iter [135550/160000] lr: 9.414e-06, eta: 1:36:28, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2733, decode.acc_seg: 71.2008, aux.loss_ce: 0.1335, aux.acc_seg: 69.5245, loss: 0.4068 +2022-06-19 00:53:24,598 - mmseg - INFO - Iter [135600/160000] lr: 9.395e-06, eta: 1:36:16, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2613, decode.acc_seg: 71.8409, aux.loss_ce: 0.1269, aux.acc_seg: 70.3796, loss: 0.3882 +2022-06-19 00:53:36,082 - mmseg - INFO - Iter [135650/160000] lr: 9.375e-06, eta: 1:36:04, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2675, decode.acc_seg: 72.5754, aux.loss_ce: 0.1312, aux.acc_seg: 70.9606, loss: 0.3987 +2022-06-19 00:53:47,249 - mmseg - INFO - Iter [135700/160000] lr: 9.356e-06, eta: 1:35:52, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2595, decode.acc_seg: 72.7023, aux.loss_ce: 0.1265, aux.acc_seg: 71.1991, loss: 0.3860 +2022-06-19 00:53:58,683 - mmseg - INFO - Iter [135750/160000] lr: 9.337e-06, eta: 1:35:40, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2787, decode.acc_seg: 72.8076, aux.loss_ce: 0.1357, aux.acc_seg: 71.0997, loss: 0.4144 +2022-06-19 00:54:10,059 - mmseg - INFO - Iter [135800/160000] lr: 9.318e-06, eta: 1:35:28, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2649, decode.acc_seg: 71.7061, aux.loss_ce: 0.1291, aux.acc_seg: 70.2819, loss: 0.3939 +2022-06-19 00:54:23,862 - mmseg - INFO - Iter [135850/160000] lr: 9.298e-06, eta: 1:35:17, time: 0.276, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2792, decode.acc_seg: 73.1208, aux.loss_ce: 0.1364, aux.acc_seg: 71.6058, loss: 0.4156 +2022-06-19 00:54:34,803 - mmseg - INFO - Iter [135900/160000] lr: 9.279e-06, eta: 1:35:05, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2544, decode.acc_seg: 71.9778, aux.loss_ce: 0.1258, aux.acc_seg: 70.4427, loss: 0.3802 +2022-06-19 00:54:45,972 - mmseg - INFO - Iter [135950/160000] lr: 9.260e-06, eta: 1:34:53, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2428, decode.acc_seg: 72.2815, aux.loss_ce: 0.1196, aux.acc_seg: 70.6184, loss: 0.3624 +2022-06-19 00:54:57,263 - mmseg - INFO - Saving checkpoint at 136000 iterations +2022-06-19 00:54:58,249 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:54:58,249 - mmseg - INFO - Iter [136000/160000] lr: 9.241e-06, eta: 1:34:41, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2641, decode.acc_seg: 73.2664, aux.loss_ce: 0.1286, aux.acc_seg: 71.9300, loss: 0.3927 +2022-06-19 00:55:09,386 - mmseg - INFO - Iter [136050/160000] lr: 9.221e-06, eta: 1:34:29, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2660, decode.acc_seg: 72.7593, aux.loss_ce: 0.1270, aux.acc_seg: 71.4226, loss: 0.3931 +2022-06-19 00:55:20,820 - mmseg - INFO - Iter [136100/160000] lr: 9.202e-06, eta: 1:34:17, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2710, decode.acc_seg: 71.3747, aux.loss_ce: 0.1324, aux.acc_seg: 69.8588, loss: 0.4034 +2022-06-19 00:55:32,121 - mmseg - INFO - Iter [136150/160000] lr: 9.183e-06, eta: 1:34:05, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2474, decode.acc_seg: 73.1229, aux.loss_ce: 0.1227, aux.acc_seg: 71.5381, loss: 0.3700 +2022-06-19 00:55:43,499 - mmseg - INFO - Iter [136200/160000] lr: 9.164e-06, eta: 1:33:53, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2713, decode.acc_seg: 71.5517, aux.loss_ce: 0.1325, aux.acc_seg: 69.8470, loss: 0.4038 +2022-06-19 00:55:54,896 - mmseg - INFO - Iter [136250/160000] lr: 9.144e-06, eta: 1:33:41, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2777, decode.acc_seg: 71.7139, aux.loss_ce: 0.1335, aux.acc_seg: 70.3735, loss: 0.4112 +2022-06-19 00:56:06,170 - mmseg - INFO - Iter [136300/160000] lr: 9.125e-06, eta: 1:33:29, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2706, decode.acc_seg: 71.7404, aux.loss_ce: 0.1325, aux.acc_seg: 70.1803, loss: 0.4030 +2022-06-19 00:56:17,714 - mmseg - INFO - Iter [136350/160000] lr: 9.106e-06, eta: 1:33:17, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2749, decode.acc_seg: 72.6608, aux.loss_ce: 0.1358, aux.acc_seg: 71.0900, loss: 0.4107 +2022-06-19 00:56:28,969 - mmseg - INFO - Iter [136400/160000] lr: 9.087e-06, eta: 1:33:05, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2601, decode.acc_seg: 73.0043, aux.loss_ce: 0.1303, aux.acc_seg: 71.3088, loss: 0.3905 +2022-06-19 00:56:40,354 - mmseg - INFO - Iter [136450/160000] lr: 9.067e-06, eta: 1:32:53, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2619, decode.acc_seg: 72.7362, aux.loss_ce: 0.1298, aux.acc_seg: 70.9820, loss: 0.3917 +2022-06-19 00:56:51,539 - mmseg - INFO - Iter [136500/160000] lr: 9.048e-06, eta: 1:32:41, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2675, decode.acc_seg: 72.6198, aux.loss_ce: 0.1308, aux.acc_seg: 71.0374, loss: 0.3984 +2022-06-19 00:57:02,857 - mmseg - INFO - Iter [136550/160000] lr: 9.029e-06, eta: 1:32:29, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2528, decode.acc_seg: 71.3907, aux.loss_ce: 0.1251, aux.acc_seg: 69.8168, loss: 0.3779 +2022-06-19 00:57:14,306 - mmseg - INFO - Iter [136600/160000] lr: 9.010e-06, eta: 1:32:17, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2674, decode.acc_seg: 72.0437, aux.loss_ce: 0.1304, aux.acc_seg: 70.5538, loss: 0.3979 +2022-06-19 00:57:25,607 - mmseg - INFO - Iter [136650/160000] lr: 8.990e-06, eta: 1:32:05, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2724, decode.acc_seg: 74.0877, aux.loss_ce: 0.1345, aux.acc_seg: 72.3192, loss: 0.4069 +2022-06-19 00:57:36,734 - mmseg - INFO - Iter [136700/160000] lr: 8.971e-06, eta: 1:31:52, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2515, decode.acc_seg: 72.8090, aux.loss_ce: 0.1242, aux.acc_seg: 71.1886, loss: 0.3757 +2022-06-19 00:57:48,281 - mmseg - INFO - Iter [136750/160000] lr: 8.952e-06, eta: 1:31:40, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2724, decode.acc_seg: 71.0668, aux.loss_ce: 0.1344, aux.acc_seg: 69.4590, loss: 0.4068 +2022-06-19 00:57:59,545 - mmseg - INFO - Iter [136800/160000] lr: 8.933e-06, eta: 1:31:28, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2623, decode.acc_seg: 70.4620, aux.loss_ce: 0.1298, aux.acc_seg: 68.8508, loss: 0.3922 +2022-06-19 00:58:10,967 - mmseg - INFO - Iter [136850/160000] lr: 8.913e-06, eta: 1:31:16, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2665, decode.acc_seg: 72.5586, aux.loss_ce: 0.1309, aux.acc_seg: 71.0203, loss: 0.3974 +2022-06-19 00:58:22,033 - mmseg - INFO - Iter [136900/160000] lr: 8.894e-06, eta: 1:31:04, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2581, decode.acc_seg: 73.9435, aux.loss_ce: 0.1288, aux.acc_seg: 72.1653, loss: 0.3870 +2022-06-19 00:58:33,277 - mmseg - INFO - Iter [136950/160000] lr: 8.875e-06, eta: 1:30:52, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2534, decode.acc_seg: 71.0536, aux.loss_ce: 0.1237, aux.acc_seg: 69.6429, loss: 0.3771 +2022-06-19 00:58:44,786 - mmseg - INFO - Saving checkpoint at 137000 iterations +2022-06-19 00:58:45,839 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 00:58:45,839 - mmseg - INFO - Iter [137000/160000] lr: 8.856e-06, eta: 1:30:41, time: 0.252, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2633, decode.acc_seg: 72.4898, aux.loss_ce: 0.1290, aux.acc_seg: 70.9145, loss: 0.3923 +2022-06-19 00:58:56,967 - mmseg - INFO - Iter [137050/160000] lr: 8.836e-06, eta: 1:30:29, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2712, decode.acc_seg: 72.9858, aux.loss_ce: 0.1308, aux.acc_seg: 71.4882, loss: 0.4021 +2022-06-19 00:59:10,576 - mmseg - INFO - Iter [137100/160000] lr: 8.817e-06, eta: 1:30:17, time: 0.272, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2466, decode.acc_seg: 71.7041, aux.loss_ce: 0.1226, aux.acc_seg: 70.1140, loss: 0.3692 +2022-06-19 00:59:21,670 - mmseg - INFO - Iter [137150/160000] lr: 8.798e-06, eta: 1:30:05, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2714, decode.acc_seg: 71.8176, aux.loss_ce: 0.1325, aux.acc_seg: 70.2046, loss: 0.4039 +2022-06-19 00:59:33,044 - mmseg - INFO - Iter [137200/160000] lr: 8.779e-06, eta: 1:29:53, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2646, decode.acc_seg: 71.9180, aux.loss_ce: 0.1303, aux.acc_seg: 70.2895, loss: 0.3950 +2022-06-19 00:59:44,286 - mmseg - INFO - Iter [137250/160000] lr: 8.759e-06, eta: 1:29:41, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2677, decode.acc_seg: 71.2402, aux.loss_ce: 0.1317, aux.acc_seg: 69.6294, loss: 0.3994 +2022-06-19 00:59:55,497 - mmseg - INFO - Iter [137300/160000] lr: 8.740e-06, eta: 1:29:29, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2545, decode.acc_seg: 71.5362, aux.loss_ce: 0.1264, aux.acc_seg: 69.9388, loss: 0.3809 +2022-06-19 01:00:07,022 - mmseg - INFO - Iter [137350/160000] lr: 8.721e-06, eta: 1:29:17, time: 0.231, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2937, decode.acc_seg: 71.8678, aux.loss_ce: 0.1447, aux.acc_seg: 70.1329, loss: 0.4384 +2022-06-19 01:00:18,372 - mmseg - INFO - Iter [137400/160000] lr: 8.702e-06, eta: 1:29:05, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2591, decode.acc_seg: 71.7605, aux.loss_ce: 0.1261, aux.acc_seg: 70.3493, loss: 0.3852 +2022-06-19 01:00:29,670 - mmseg - INFO - Iter [137450/160000] lr: 8.682e-06, eta: 1:28:53, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2644, decode.acc_seg: 72.1869, aux.loss_ce: 0.1306, aux.acc_seg: 70.6884, loss: 0.3950 +2022-06-19 01:00:40,987 - mmseg - INFO - Iter [137500/160000] lr: 8.663e-06, eta: 1:28:41, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2571, decode.acc_seg: 71.5972, aux.loss_ce: 0.1252, aux.acc_seg: 70.1485, loss: 0.3823 +2022-06-19 01:00:52,526 - mmseg - INFO - Iter [137550/160000] lr: 8.644e-06, eta: 1:28:29, time: 0.231, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2637, decode.acc_seg: 73.4320, aux.loss_ce: 0.1291, aux.acc_seg: 71.8700, loss: 0.3928 +2022-06-19 01:01:03,797 - mmseg - INFO - Iter [137600/160000] lr: 8.625e-06, eta: 1:28:17, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2639, decode.acc_seg: 73.2719, aux.loss_ce: 0.1297, aux.acc_seg: 71.5861, loss: 0.3937 +2022-06-19 01:01:15,087 - mmseg - INFO - Iter [137650/160000] lr: 8.605e-06, eta: 1:28:05, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2604, decode.acc_seg: 72.3249, aux.loss_ce: 0.1262, aux.acc_seg: 70.9042, loss: 0.3866 +2022-06-19 01:01:26,591 - mmseg - INFO - Iter [137700/160000] lr: 8.586e-06, eta: 1:27:53, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2542, decode.acc_seg: 72.1910, aux.loss_ce: 0.1236, aux.acc_seg: 70.7449, loss: 0.3778 +2022-06-19 01:01:37,832 - mmseg - INFO - Iter [137750/160000] lr: 8.567e-06, eta: 1:27:41, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2782, decode.acc_seg: 72.4289, aux.loss_ce: 0.1357, aux.acc_seg: 70.8091, loss: 0.4140 +2022-06-19 01:01:49,113 - mmseg - INFO - Iter [137800/160000] lr: 8.548e-06, eta: 1:27:29, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2677, decode.acc_seg: 72.9639, aux.loss_ce: 0.1323, aux.acc_seg: 71.2398, loss: 0.4000 +2022-06-19 01:02:00,394 - mmseg - INFO - Iter [137850/160000] lr: 8.528e-06, eta: 1:27:17, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2635, decode.acc_seg: 70.8978, aux.loss_ce: 0.1315, aux.acc_seg: 69.1027, loss: 0.3950 +2022-06-19 01:02:11,611 - mmseg - INFO - Iter [137900/160000] lr: 8.509e-06, eta: 1:27:05, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2778, decode.acc_seg: 72.7812, aux.loss_ce: 0.1358, aux.acc_seg: 71.3145, loss: 0.4136 +2022-06-19 01:02:22,916 - mmseg - INFO - Iter [137950/160000] lr: 8.490e-06, eta: 1:26:53, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2609, decode.acc_seg: 72.6629, aux.loss_ce: 0.1291, aux.acc_seg: 70.9590, loss: 0.3900 +2022-06-19 01:02:34,352 - mmseg - INFO - Saving checkpoint at 138000 iterations +2022-06-19 01:02:35,373 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:02:35,373 - mmseg - INFO - Iter [138000/160000] lr: 8.471e-06, eta: 1:26:41, time: 0.250, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2581, decode.acc_seg: 72.3732, aux.loss_ce: 0.1275, aux.acc_seg: 70.8115, loss: 0.3856 +2022-06-19 01:02:46,508 - mmseg - INFO - Iter [138050/160000] lr: 8.451e-06, eta: 1:26:29, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2639, decode.acc_seg: 72.4364, aux.loss_ce: 0.1272, aux.acc_seg: 71.0650, loss: 0.3911 +2022-06-19 01:02:57,803 - mmseg - INFO - Iter [138100/160000] lr: 8.432e-06, eta: 1:26:17, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2524, decode.acc_seg: 73.0257, aux.loss_ce: 0.1232, aux.acc_seg: 71.5572, loss: 0.3756 +2022-06-19 01:03:09,001 - mmseg - INFO - Iter [138150/160000] lr: 8.413e-06, eta: 1:26:05, time: 0.225, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2842, decode.acc_seg: 72.3500, aux.loss_ce: 0.1394, aux.acc_seg: 70.6481, loss: 0.4237 +2022-06-19 01:03:20,430 - mmseg - INFO - Iter [138200/160000] lr: 8.394e-06, eta: 1:25:53, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2820, decode.acc_seg: 72.6425, aux.loss_ce: 0.1375, aux.acc_seg: 71.2210, loss: 0.4195 +2022-06-19 01:03:31,584 - mmseg - INFO - Iter [138250/160000] lr: 8.374e-06, eta: 1:25:41, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2737, decode.acc_seg: 71.5396, aux.loss_ce: 0.1347, aux.acc_seg: 69.8734, loss: 0.4083 +2022-06-19 01:03:42,606 - mmseg - INFO - Iter [138300/160000] lr: 8.355e-06, eta: 1:25:29, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2677, decode.acc_seg: 72.0247, aux.loss_ce: 0.1315, aux.acc_seg: 70.4346, loss: 0.3992 +2022-06-19 01:03:53,868 - mmseg - INFO - Iter [138350/160000] lr: 8.336e-06, eta: 1:25:17, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2899, decode.acc_seg: 71.9650, aux.loss_ce: 0.1403, aux.acc_seg: 70.3191, loss: 0.4302 +2022-06-19 01:04:07,346 - mmseg - INFO - Iter [138400/160000] lr: 8.317e-06, eta: 1:25:06, time: 0.269, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2716, decode.acc_seg: 73.4568, aux.loss_ce: 0.1363, aux.acc_seg: 71.5991, loss: 0.4079 +2022-06-19 01:04:18,680 - mmseg - INFO - Iter [138450/160000] lr: 8.297e-06, eta: 1:24:54, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2527, decode.acc_seg: 71.8953, aux.loss_ce: 0.1233, aux.acc_seg: 70.3327, loss: 0.3760 +2022-06-19 01:04:30,009 - mmseg - INFO - Iter [138500/160000] lr: 8.278e-06, eta: 1:24:42, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2711, decode.acc_seg: 72.4995, aux.loss_ce: 0.1324, aux.acc_seg: 71.0717, loss: 0.4035 +2022-06-19 01:04:41,342 - mmseg - INFO - Iter [138550/160000] lr: 8.259e-06, eta: 1:24:30, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2490, decode.acc_seg: 72.6127, aux.loss_ce: 0.1245, aux.acc_seg: 70.8572, loss: 0.3734 +2022-06-19 01:04:52,421 - mmseg - INFO - Iter [138600/160000] lr: 8.240e-06, eta: 1:24:18, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2668, decode.acc_seg: 71.7650, aux.loss_ce: 0.1303, aux.acc_seg: 70.1389, loss: 0.3971 +2022-06-19 01:05:03,803 - mmseg - INFO - Iter [138650/160000] lr: 8.220e-06, eta: 1:24:06, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2659, decode.acc_seg: 70.3692, aux.loss_ce: 0.1294, aux.acc_seg: 68.9331, loss: 0.3953 +2022-06-19 01:05:15,038 - mmseg - INFO - Iter [138700/160000] lr: 8.201e-06, eta: 1:23:54, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2752, decode.acc_seg: 73.2187, aux.loss_ce: 0.1341, aux.acc_seg: 71.6193, loss: 0.4093 +2022-06-19 01:05:26,373 - mmseg - INFO - Iter [138750/160000] lr: 8.182e-06, eta: 1:23:42, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2638, decode.acc_seg: 71.9912, aux.loss_ce: 0.1263, aux.acc_seg: 70.5619, loss: 0.3901 +2022-06-19 01:05:37,868 - mmseg - INFO - Iter [138800/160000] lr: 8.163e-06, eta: 1:23:30, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2565, decode.acc_seg: 71.8363, aux.loss_ce: 0.1273, aux.acc_seg: 70.1587, loss: 0.3838 +2022-06-19 01:05:49,423 - mmseg - INFO - Iter [138850/160000] lr: 8.143e-06, eta: 1:23:18, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2632, decode.acc_seg: 71.7951, aux.loss_ce: 0.1306, aux.acc_seg: 70.0554, loss: 0.3938 +2022-06-19 01:06:00,822 - mmseg - INFO - Iter [138900/160000] lr: 8.124e-06, eta: 1:23:06, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2575, decode.acc_seg: 71.5863, aux.loss_ce: 0.1246, aux.acc_seg: 70.1427, loss: 0.3821 +2022-06-19 01:06:12,044 - mmseg - INFO - Iter [138950/160000] lr: 8.105e-06, eta: 1:22:54, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2572, decode.acc_seg: 73.0181, aux.loss_ce: 0.1274, aux.acc_seg: 71.4429, loss: 0.3847 +2022-06-19 01:06:23,289 - mmseg - INFO - Saving checkpoint at 139000 iterations +2022-06-19 01:06:24,232 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:06:24,232 - mmseg - INFO - Iter [139000/160000] lr: 8.086e-06, eta: 1:22:42, time: 0.244, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2822, decode.acc_seg: 70.3357, aux.loss_ce: 0.1360, aux.acc_seg: 68.9164, loss: 0.4183 +2022-06-19 01:06:35,588 - mmseg - INFO - Iter [139050/160000] lr: 8.066e-06, eta: 1:22:30, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2752, decode.acc_seg: 72.4416, aux.loss_ce: 0.1357, aux.acc_seg: 70.8032, loss: 0.4108 +2022-06-19 01:06:46,726 - mmseg - INFO - Iter [139100/160000] lr: 8.047e-06, eta: 1:22:18, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2588, decode.acc_seg: 73.4960, aux.loss_ce: 0.1256, aux.acc_seg: 72.0234, loss: 0.3844 +2022-06-19 01:06:57,797 - mmseg - INFO - Iter [139150/160000] lr: 8.028e-06, eta: 1:22:06, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2795, decode.acc_seg: 71.7046, aux.loss_ce: 0.1377, aux.acc_seg: 69.8883, loss: 0.4171 +2022-06-19 01:07:09,114 - mmseg - INFO - Iter [139200/160000] lr: 8.009e-06, eta: 1:21:54, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2492, decode.acc_seg: 72.3723, aux.loss_ce: 0.1232, aux.acc_seg: 70.8208, loss: 0.3724 +2022-06-19 01:07:20,443 - mmseg - INFO - Iter [139250/160000] lr: 7.989e-06, eta: 1:21:42, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2561, decode.acc_seg: 71.6901, aux.loss_ce: 0.1257, aux.acc_seg: 69.9652, loss: 0.3818 +2022-06-19 01:07:31,569 - mmseg - INFO - Iter [139300/160000] lr: 7.970e-06, eta: 1:21:30, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2458, decode.acc_seg: 71.4875, aux.loss_ce: 0.1228, aux.acc_seg: 69.8861, loss: 0.3686 +2022-06-19 01:07:42,898 - mmseg - INFO - Iter [139350/160000] lr: 7.951e-06, eta: 1:21:18, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2688, decode.acc_seg: 73.6576, aux.loss_ce: 0.1338, aux.acc_seg: 71.9144, loss: 0.4026 +2022-06-19 01:07:54,303 - mmseg - INFO - Iter [139400/160000] lr: 7.932e-06, eta: 1:21:06, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2622, decode.acc_seg: 73.0606, aux.loss_ce: 0.1314, aux.acc_seg: 71.3392, loss: 0.3936 +2022-06-19 01:08:05,638 - mmseg - INFO - Iter [139450/160000] lr: 7.912e-06, eta: 1:20:54, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2679, decode.acc_seg: 71.3967, aux.loss_ce: 0.1313, aux.acc_seg: 69.8463, loss: 0.3991 +2022-06-19 01:08:16,796 - mmseg - INFO - Iter [139500/160000] lr: 7.893e-06, eta: 1:20:42, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2548, decode.acc_seg: 73.4362, aux.loss_ce: 0.1261, aux.acc_seg: 71.9158, loss: 0.3809 +2022-06-19 01:08:28,012 - mmseg - INFO - Iter [139550/160000] lr: 7.874e-06, eta: 1:20:30, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2555, decode.acc_seg: 71.0980, aux.loss_ce: 0.1267, aux.acc_seg: 69.4831, loss: 0.3822 +2022-06-19 01:08:39,494 - mmseg - INFO - Iter [139600/160000] lr: 7.855e-06, eta: 1:20:18, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2626, decode.acc_seg: 73.4414, aux.loss_ce: 0.1277, aux.acc_seg: 72.0677, loss: 0.3903 +2022-06-19 01:08:53,162 - mmseg - INFO - Iter [139650/160000] lr: 7.835e-06, eta: 1:20:07, time: 0.273, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2643, decode.acc_seg: 72.8886, aux.loss_ce: 0.1299, aux.acc_seg: 71.1178, loss: 0.3942 +2022-06-19 01:09:04,504 - mmseg - INFO - Iter [139700/160000] lr: 7.816e-06, eta: 1:19:55, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2572, decode.acc_seg: 72.4652, aux.loss_ce: 0.1271, aux.acc_seg: 70.7994, loss: 0.3843 +2022-06-19 01:09:15,780 - mmseg - INFO - Iter [139750/160000] lr: 7.797e-06, eta: 1:19:43, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2614, decode.acc_seg: 72.7465, aux.loss_ce: 0.1256, aux.acc_seg: 71.2887, loss: 0.3870 +2022-06-19 01:09:27,078 - mmseg - INFO - Iter [139800/160000] lr: 7.778e-06, eta: 1:19:31, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2660, decode.acc_seg: 71.6759, aux.loss_ce: 0.1311, aux.acc_seg: 70.1363, loss: 0.3971 +2022-06-19 01:09:38,408 - mmseg - INFO - Iter [139850/160000] lr: 7.758e-06, eta: 1:19:19, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2710, decode.acc_seg: 71.3011, aux.loss_ce: 0.1344, aux.acc_seg: 69.5291, loss: 0.4054 +2022-06-19 01:09:49,494 - mmseg - INFO - Iter [139900/160000] lr: 7.739e-06, eta: 1:19:07, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2763, decode.acc_seg: 73.2261, aux.loss_ce: 0.1353, aux.acc_seg: 71.5908, loss: 0.4116 +2022-06-19 01:10:00,784 - mmseg - INFO - Iter [139950/160000] lr: 7.720e-06, eta: 1:18:55, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2610, decode.acc_seg: 72.1336, aux.loss_ce: 0.1274, aux.acc_seg: 70.5741, loss: 0.3884 +2022-06-19 01:10:12,101 - mmseg - INFO - Saving checkpoint at 140000 iterations +2022-06-19 01:10:13,055 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:10:13,055 - mmseg - INFO - Iter [140000/160000] lr: 7.701e-06, eta: 1:18:44, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2831, decode.acc_seg: 71.9073, aux.loss_ce: 0.1385, aux.acc_seg: 70.1970, loss: 0.4216 +2022-06-19 01:10:24,239 - mmseg - INFO - Iter [140050/160000] lr: 7.681e-06, eta: 1:18:32, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2622, decode.acc_seg: 73.6366, aux.loss_ce: 0.1290, aux.acc_seg: 71.9792, loss: 0.3911 +2022-06-19 01:10:35,301 - mmseg - INFO - Iter [140100/160000] lr: 7.662e-06, eta: 1:18:20, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2744, decode.acc_seg: 72.9251, aux.loss_ce: 0.1341, aux.acc_seg: 71.3948, loss: 0.4085 +2022-06-19 01:10:46,663 - mmseg - INFO - Iter [140150/160000] lr: 7.643e-06, eta: 1:18:08, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2496, decode.acc_seg: 72.1071, aux.loss_ce: 0.1251, aux.acc_seg: 70.4243, loss: 0.3748 +2022-06-19 01:10:57,919 - mmseg - INFO - Iter [140200/160000] lr: 7.624e-06, eta: 1:17:56, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2585, decode.acc_seg: 72.0744, aux.loss_ce: 0.1292, aux.acc_seg: 70.5595, loss: 0.3877 +2022-06-19 01:11:09,313 - mmseg - INFO - Iter [140250/160000] lr: 7.604e-06, eta: 1:17:44, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2608, decode.acc_seg: 72.8240, aux.loss_ce: 0.1299, aux.acc_seg: 71.1097, loss: 0.3907 +2022-06-19 01:11:20,500 - mmseg - INFO - Iter [140300/160000] lr: 7.585e-06, eta: 1:17:32, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2710, decode.acc_seg: 72.3210, aux.loss_ce: 0.1296, aux.acc_seg: 70.8129, loss: 0.4006 +2022-06-19 01:11:32,115 - mmseg - INFO - Iter [140350/160000] lr: 7.566e-06, eta: 1:17:20, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2646, decode.acc_seg: 72.3004, aux.loss_ce: 0.1309, aux.acc_seg: 70.6328, loss: 0.3955 +2022-06-19 01:11:43,633 - mmseg - INFO - Iter [140400/160000] lr: 7.547e-06, eta: 1:17:08, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2680, decode.acc_seg: 72.1836, aux.loss_ce: 0.1334, aux.acc_seg: 70.4310, loss: 0.4014 +2022-06-19 01:11:54,898 - mmseg - INFO - Iter [140450/160000] lr: 7.527e-06, eta: 1:16:56, time: 0.226, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2572, decode.acc_seg: 71.9128, aux.loss_ce: 0.1292, aux.acc_seg: 70.1825, loss: 0.3863 +2022-06-19 01:12:06,038 - mmseg - INFO - Iter [140500/160000] lr: 7.508e-06, eta: 1:16:44, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2679, decode.acc_seg: 71.7065, aux.loss_ce: 0.1311, aux.acc_seg: 70.1187, loss: 0.3990 +2022-06-19 01:12:17,166 - mmseg - INFO - Iter [140550/160000] lr: 7.489e-06, eta: 1:16:32, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2603, decode.acc_seg: 72.8727, aux.loss_ce: 0.1261, aux.acc_seg: 71.4804, loss: 0.3865 +2022-06-19 01:12:28,479 - mmseg - INFO - Iter [140600/160000] lr: 7.470e-06, eta: 1:16:20, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2596, decode.acc_seg: 72.3733, aux.loss_ce: 0.1274, aux.acc_seg: 70.8384, loss: 0.3869 +2022-06-19 01:12:39,594 - mmseg - INFO - Iter [140650/160000] lr: 7.450e-06, eta: 1:16:08, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2718, decode.acc_seg: 71.1791, aux.loss_ce: 0.1344, aux.acc_seg: 69.2541, loss: 0.4062 +2022-06-19 01:12:50,870 - mmseg - INFO - Iter [140700/160000] lr: 7.431e-06, eta: 1:15:56, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2601, decode.acc_seg: 72.8205, aux.loss_ce: 0.1272, aux.acc_seg: 71.2086, loss: 0.3873 +2022-06-19 01:13:02,310 - mmseg - INFO - Iter [140750/160000] lr: 7.412e-06, eta: 1:15:44, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2750, decode.acc_seg: 72.3124, aux.loss_ce: 0.1355, aux.acc_seg: 70.5097, loss: 0.4106 +2022-06-19 01:13:13,660 - mmseg - INFO - Iter [140800/160000] lr: 7.393e-06, eta: 1:15:32, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2697, decode.acc_seg: 72.6584, aux.loss_ce: 0.1338, aux.acc_seg: 70.9869, loss: 0.4035 +2022-06-19 01:13:25,064 - mmseg - INFO - Iter [140850/160000] lr: 7.373e-06, eta: 1:15:20, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2805, decode.acc_seg: 72.1605, aux.loss_ce: 0.1373, aux.acc_seg: 70.7082, loss: 0.4178 +2022-06-19 01:13:38,654 - mmseg - INFO - Iter [140900/160000] lr: 7.354e-06, eta: 1:15:09, time: 0.272, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2710, decode.acc_seg: 70.9309, aux.loss_ce: 0.1321, aux.acc_seg: 69.2924, loss: 0.4031 +2022-06-19 01:13:50,151 - mmseg - INFO - Iter [140950/160000] lr: 7.335e-06, eta: 1:14:57, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2814, decode.acc_seg: 71.9025, aux.loss_ce: 0.1365, aux.acc_seg: 70.3938, loss: 0.4179 +2022-06-19 01:14:01,378 - mmseg - INFO - Saving checkpoint at 141000 iterations +2022-06-19 01:14:02,357 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:14:02,357 - mmseg - INFO - Iter [141000/160000] lr: 7.316e-06, eta: 1:14:45, time: 0.244, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2676, decode.acc_seg: 72.6709, aux.loss_ce: 0.1320, aux.acc_seg: 71.0141, loss: 0.3996 +2022-06-19 01:14:13,452 - mmseg - INFO - Iter [141050/160000] lr: 7.296e-06, eta: 1:14:33, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2472, decode.acc_seg: 71.4981, aux.loss_ce: 0.1228, aux.acc_seg: 70.0001, loss: 0.3700 +2022-06-19 01:14:24,941 - mmseg - INFO - Iter [141100/160000] lr: 7.277e-06, eta: 1:14:21, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2755, decode.acc_seg: 72.3729, aux.loss_ce: 0.1344, aux.acc_seg: 70.9445, loss: 0.4099 +2022-06-19 01:14:36,336 - mmseg - INFO - Iter [141150/160000] lr: 7.258e-06, eta: 1:14:09, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2596, decode.acc_seg: 71.5614, aux.loss_ce: 0.1267, aux.acc_seg: 70.1424, loss: 0.3863 +2022-06-19 01:14:47,810 - mmseg - INFO - Iter [141200/160000] lr: 7.239e-06, eta: 1:13:58, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2610, decode.acc_seg: 72.7026, aux.loss_ce: 0.1289, aux.acc_seg: 71.0753, loss: 0.3898 +2022-06-19 01:14:59,141 - mmseg - INFO - Iter [141250/160000] lr: 7.219e-06, eta: 1:13:46, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2598, decode.acc_seg: 74.6386, aux.loss_ce: 0.1281, aux.acc_seg: 72.9633, loss: 0.3879 +2022-06-19 01:15:10,372 - mmseg - INFO - Iter [141300/160000] lr: 7.200e-06, eta: 1:13:34, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2667, decode.acc_seg: 72.5725, aux.loss_ce: 0.1325, aux.acc_seg: 71.0110, loss: 0.3992 +2022-06-19 01:15:21,644 - mmseg - INFO - Iter [141350/160000] lr: 7.181e-06, eta: 1:13:22, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2697, decode.acc_seg: 72.1896, aux.loss_ce: 0.1365, aux.acc_seg: 70.3389, loss: 0.4062 +2022-06-19 01:15:33,048 - mmseg - INFO - Iter [141400/160000] lr: 7.162e-06, eta: 1:13:10, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2556, decode.acc_seg: 73.5865, aux.loss_ce: 0.1264, aux.acc_seg: 71.9296, loss: 0.3820 +2022-06-19 01:15:44,385 - mmseg - INFO - Iter [141450/160000] lr: 7.142e-06, eta: 1:12:58, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2543, decode.acc_seg: 72.4701, aux.loss_ce: 0.1256, aux.acc_seg: 70.8022, loss: 0.3799 +2022-06-19 01:15:55,899 - mmseg - INFO - Iter [141500/160000] lr: 7.123e-06, eta: 1:12:46, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2589, decode.acc_seg: 72.4262, aux.loss_ce: 0.1267, aux.acc_seg: 70.9634, loss: 0.3856 +2022-06-19 01:16:07,134 - mmseg - INFO - Iter [141550/160000] lr: 7.104e-06, eta: 1:12:34, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2597, decode.acc_seg: 72.2578, aux.loss_ce: 0.1296, aux.acc_seg: 70.5562, loss: 0.3893 +2022-06-19 01:16:18,543 - mmseg - INFO - Iter [141600/160000] lr: 7.085e-06, eta: 1:12:22, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2583, decode.acc_seg: 69.7406, aux.loss_ce: 0.1259, aux.acc_seg: 68.2385, loss: 0.3842 +2022-06-19 01:16:29,869 - mmseg - INFO - Iter [141650/160000] lr: 7.065e-06, eta: 1:12:10, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2532, decode.acc_seg: 73.3209, aux.loss_ce: 0.1246, aux.acc_seg: 71.8752, loss: 0.3778 +2022-06-19 01:16:41,280 - mmseg - INFO - Iter [141700/160000] lr: 7.046e-06, eta: 1:11:58, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2505, decode.acc_seg: 72.1674, aux.loss_ce: 0.1250, aux.acc_seg: 70.5195, loss: 0.3755 +2022-06-19 01:16:52,623 - mmseg - INFO - Iter [141750/160000] lr: 7.027e-06, eta: 1:11:46, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2699, decode.acc_seg: 71.6291, aux.loss_ce: 0.1302, aux.acc_seg: 70.0899, loss: 0.4001 +2022-06-19 01:17:03,961 - mmseg - INFO - Iter [141800/160000] lr: 7.008e-06, eta: 1:11:34, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2602, decode.acc_seg: 72.2343, aux.loss_ce: 0.1309, aux.acc_seg: 70.3489, loss: 0.3911 +2022-06-19 01:17:15,281 - mmseg - INFO - Iter [141850/160000] lr: 6.988e-06, eta: 1:11:22, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2555, decode.acc_seg: 71.3602, aux.loss_ce: 0.1281, aux.acc_seg: 69.5599, loss: 0.3836 +2022-06-19 01:17:26,557 - mmseg - INFO - Iter [141900/160000] lr: 6.969e-06, eta: 1:11:10, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2708, decode.acc_seg: 71.6130, aux.loss_ce: 0.1322, aux.acc_seg: 70.0425, loss: 0.4030 +2022-06-19 01:17:37,901 - mmseg - INFO - Iter [141950/160000] lr: 6.950e-06, eta: 1:10:58, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2706, decode.acc_seg: 71.0125, aux.loss_ce: 0.1311, aux.acc_seg: 69.5882, loss: 0.4017 +2022-06-19 01:17:49,248 - mmseg - INFO - Saving checkpoint at 142000 iterations +2022-06-19 01:17:50,205 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:17:50,205 - mmseg - INFO - Iter [142000/160000] lr: 6.931e-06, eta: 1:10:47, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2583, decode.acc_seg: 71.8422, aux.loss_ce: 0.1269, aux.acc_seg: 70.1609, loss: 0.3852 +2022-06-19 01:18:01,684 - mmseg - INFO - Iter [142050/160000] lr: 6.911e-06, eta: 1:10:35, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2693, decode.acc_seg: 73.1242, aux.loss_ce: 0.1335, aux.acc_seg: 71.4086, loss: 0.4028 +2022-06-19 01:18:12,936 - mmseg - INFO - Iter [142100/160000] lr: 6.892e-06, eta: 1:10:23, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2634, decode.acc_seg: 73.4704, aux.loss_ce: 0.1307, aux.acc_seg: 71.7784, loss: 0.3941 +2022-06-19 01:18:26,411 - mmseg - INFO - Iter [142150/160000] lr: 6.873e-06, eta: 1:10:12, time: 0.270, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2544, decode.acc_seg: 72.4880, aux.loss_ce: 0.1241, aux.acc_seg: 71.0106, loss: 0.3785 +2022-06-19 01:18:37,843 - mmseg - INFO - Iter [142200/160000] lr: 6.854e-06, eta: 1:10:00, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2589, decode.acc_seg: 71.4840, aux.loss_ce: 0.1286, aux.acc_seg: 70.0822, loss: 0.3875 +2022-06-19 01:18:49,464 - mmseg - INFO - Iter [142250/160000] lr: 6.834e-06, eta: 1:09:48, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2537, decode.acc_seg: 73.1618, aux.loss_ce: 0.1251, aux.acc_seg: 71.6562, loss: 0.3788 +2022-06-19 01:19:00,784 - mmseg - INFO - Iter [142300/160000] lr: 6.815e-06, eta: 1:09:36, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2554, decode.acc_seg: 73.7346, aux.loss_ce: 0.1273, aux.acc_seg: 72.1101, loss: 0.3827 +2022-06-19 01:19:12,235 - mmseg - INFO - Iter [142350/160000] lr: 6.796e-06, eta: 1:09:24, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2845, decode.acc_seg: 71.3096, aux.loss_ce: 0.1419, aux.acc_seg: 69.5283, loss: 0.4264 +2022-06-19 01:19:23,503 - mmseg - INFO - Iter [142400/160000] lr: 6.777e-06, eta: 1:09:12, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2683, decode.acc_seg: 72.0488, aux.loss_ce: 0.1337, aux.acc_seg: 70.5123, loss: 0.4020 +2022-06-19 01:19:34,982 - mmseg - INFO - Iter [142450/160000] lr: 6.757e-06, eta: 1:09:00, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2692, decode.acc_seg: 71.6809, aux.loss_ce: 0.1320, aux.acc_seg: 70.0610, loss: 0.4012 +2022-06-19 01:19:46,302 - mmseg - INFO - Iter [142500/160000] lr: 6.738e-06, eta: 1:08:48, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2608, decode.acc_seg: 73.4583, aux.loss_ce: 0.1266, aux.acc_seg: 71.8851, loss: 0.3874 +2022-06-19 01:19:57,802 - mmseg - INFO - Iter [142550/160000] lr: 6.719e-06, eta: 1:08:36, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2573, decode.acc_seg: 73.4721, aux.loss_ce: 0.1266, aux.acc_seg: 71.9902, loss: 0.3839 +2022-06-19 01:20:08,992 - mmseg - INFO - Iter [142600/160000] lr: 6.699e-06, eta: 1:08:24, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2468, decode.acc_seg: 73.9671, aux.loss_ce: 0.1231, aux.acc_seg: 72.4051, loss: 0.3699 +2022-06-19 01:20:20,404 - mmseg - INFO - Iter [142650/160000] lr: 6.680e-06, eta: 1:08:13, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2799, decode.acc_seg: 71.8580, aux.loss_ce: 0.1375, aux.acc_seg: 70.2516, loss: 0.4175 +2022-06-19 01:20:31,813 - mmseg - INFO - Iter [142700/160000] lr: 6.661e-06, eta: 1:08:01, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2493, decode.acc_seg: 73.2716, aux.loss_ce: 0.1232, aux.acc_seg: 71.6901, loss: 0.3725 +2022-06-19 01:20:42,889 - mmseg - INFO - Iter [142750/160000] lr: 6.642e-06, eta: 1:07:49, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2618, decode.acc_seg: 73.3564, aux.loss_ce: 0.1290, aux.acc_seg: 71.8477, loss: 0.3909 +2022-06-19 01:20:54,044 - mmseg - INFO - Iter [142800/160000] lr: 6.622e-06, eta: 1:07:37, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2568, decode.acc_seg: 72.7662, aux.loss_ce: 0.1265, aux.acc_seg: 71.1930, loss: 0.3833 +2022-06-19 01:21:05,396 - mmseg - INFO - Iter [142850/160000] lr: 6.603e-06, eta: 1:07:25, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2514, decode.acc_seg: 72.3883, aux.loss_ce: 0.1245, aux.acc_seg: 70.8726, loss: 0.3759 +2022-06-19 01:21:16,753 - mmseg - INFO - Iter [142900/160000] lr: 6.584e-06, eta: 1:07:13, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2598, decode.acc_seg: 72.4583, aux.loss_ce: 0.1296, aux.acc_seg: 70.8315, loss: 0.3894 +2022-06-19 01:21:28,403 - mmseg - INFO - Iter [142950/160000] lr: 6.565e-06, eta: 1:07:01, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2544, decode.acc_seg: 73.7015, aux.loss_ce: 0.1272, aux.acc_seg: 72.0333, loss: 0.3817 +2022-06-19 01:21:39,694 - mmseg - INFO - Saving checkpoint at 143000 iterations +2022-06-19 01:21:40,655 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:21:40,655 - mmseg - INFO - Iter [143000/160000] lr: 6.545e-06, eta: 1:06:49, time: 0.245, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2515, decode.acc_seg: 71.6183, aux.loss_ce: 0.1273, aux.acc_seg: 69.7654, loss: 0.3788 +2022-06-19 01:21:51,502 - mmseg - INFO - Iter [143050/160000] lr: 6.526e-06, eta: 1:06:37, time: 0.217, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2664, decode.acc_seg: 71.8524, aux.loss_ce: 0.1305, aux.acc_seg: 70.2993, loss: 0.3969 +2022-06-19 01:22:02,720 - mmseg - INFO - Iter [143100/160000] lr: 6.507e-06, eta: 1:06:25, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2721, decode.acc_seg: 72.1537, aux.loss_ce: 0.1316, aux.acc_seg: 70.6319, loss: 0.4037 +2022-06-19 01:22:14,228 - mmseg - INFO - Iter [143150/160000] lr: 6.488e-06, eta: 1:06:14, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2715, decode.acc_seg: 70.9677, aux.loss_ce: 0.1323, aux.acc_seg: 69.5545, loss: 0.4038 +2022-06-19 01:22:25,702 - mmseg - INFO - Iter [143200/160000] lr: 6.468e-06, eta: 1:06:02, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2625, decode.acc_seg: 71.8590, aux.loss_ce: 0.1294, aux.acc_seg: 70.3488, loss: 0.3920 +2022-06-19 01:22:37,080 - mmseg - INFO - Iter [143250/160000] lr: 6.449e-06, eta: 1:05:50, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2579, decode.acc_seg: 71.1894, aux.loss_ce: 0.1261, aux.acc_seg: 69.7810, loss: 0.3840 +2022-06-19 01:22:48,434 - mmseg - INFO - Iter [143300/160000] lr: 6.430e-06, eta: 1:05:38, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2658, decode.acc_seg: 71.9481, aux.loss_ce: 0.1329, aux.acc_seg: 70.1308, loss: 0.3987 +2022-06-19 01:23:00,245 - mmseg - INFO - Iter [143350/160000] lr: 6.411e-06, eta: 1:05:26, time: 0.236, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2560, decode.acc_seg: 72.7100, aux.loss_ce: 0.1259, aux.acc_seg: 71.0568, loss: 0.3818 +2022-06-19 01:23:11,890 - mmseg - INFO - Iter [143400/160000] lr: 6.391e-06, eta: 1:05:14, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2530, decode.acc_seg: 71.9936, aux.loss_ce: 0.1262, aux.acc_seg: 70.2908, loss: 0.3792 +2022-06-19 01:23:25,402 - mmseg - INFO - Iter [143450/160000] lr: 6.372e-06, eta: 1:05:03, time: 0.270, data_time: 0.051, memory: 36327, decode.loss_ce: 0.2645, decode.acc_seg: 72.4904, aux.loss_ce: 0.1313, aux.acc_seg: 70.8804, loss: 0.3958 +2022-06-19 01:23:36,663 - mmseg - INFO - Iter [143500/160000] lr: 6.353e-06, eta: 1:04:51, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2525, decode.acc_seg: 71.6853, aux.loss_ce: 0.1254, aux.acc_seg: 70.1148, loss: 0.3779 +2022-06-19 01:23:47,933 - mmseg - INFO - Iter [143550/160000] lr: 6.334e-06, eta: 1:04:39, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2487, decode.acc_seg: 71.8273, aux.loss_ce: 0.1244, aux.acc_seg: 70.2377, loss: 0.3731 +2022-06-19 01:23:59,662 - mmseg - INFO - Iter [143600/160000] lr: 6.314e-06, eta: 1:04:27, time: 0.235, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2670, decode.acc_seg: 72.4132, aux.loss_ce: 0.1295, aux.acc_seg: 70.9371, loss: 0.3965 +2022-06-19 01:24:10,966 - mmseg - INFO - Iter [143650/160000] lr: 6.295e-06, eta: 1:04:15, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2562, decode.acc_seg: 71.5994, aux.loss_ce: 0.1254, aux.acc_seg: 70.0611, loss: 0.3816 +2022-06-19 01:24:21,952 - mmseg - INFO - Iter [143700/160000] lr: 6.276e-06, eta: 1:04:03, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2621, decode.acc_seg: 71.4622, aux.loss_ce: 0.1297, aux.acc_seg: 69.7130, loss: 0.3918 +2022-06-19 01:24:33,225 - mmseg - INFO - Iter [143750/160000] lr: 6.257e-06, eta: 1:03:51, time: 0.226, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2695, decode.acc_seg: 72.1259, aux.loss_ce: 0.1324, aux.acc_seg: 70.5573, loss: 0.4019 +2022-06-19 01:24:44,641 - mmseg - INFO - Iter [143800/160000] lr: 6.237e-06, eta: 1:03:40, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2525, decode.acc_seg: 72.3464, aux.loss_ce: 0.1231, aux.acc_seg: 70.6628, loss: 0.3756 +2022-06-19 01:24:55,738 - mmseg - INFO - Iter [143850/160000] lr: 6.218e-06, eta: 1:03:28, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2524, decode.acc_seg: 72.5385, aux.loss_ce: 0.1239, aux.acc_seg: 70.9943, loss: 0.3764 +2022-06-19 01:25:07,117 - mmseg - INFO - Iter [143900/160000] lr: 6.199e-06, eta: 1:03:16, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2477, decode.acc_seg: 73.9439, aux.loss_ce: 0.1236, aux.acc_seg: 72.3152, loss: 0.3713 +2022-06-19 01:25:18,506 - mmseg - INFO - Iter [143950/160000] lr: 6.180e-06, eta: 1:03:04, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2740, decode.acc_seg: 72.0692, aux.loss_ce: 0.1349, aux.acc_seg: 70.4076, loss: 0.4089 +2022-06-19 01:25:29,703 - mmseg - INFO - Saving checkpoint at 144000 iterations +2022-06-19 01:25:30,755 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:25:30,756 - mmseg - INFO - Iter [144000/160000] lr: 6.160e-06, eta: 1:02:52, time: 0.245, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2465, decode.acc_seg: 73.6883, aux.loss_ce: 0.1236, aux.acc_seg: 71.9071, loss: 0.3701 +2022-06-19 01:25:48,845 - mmseg - INFO - per class results: +2022-06-19 01:25:48,852 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 74.71 | 87.51 | +| building | 80.44 | 92.78 | +| sky | 94.08 | 96.89 | +| floor | 78.99 | 89.79 | +| tree | 72.85 | 86.95 | +| ceiling | 82.78 | 91.31 | +| road | 81.56 | 88.21 | +| bed | 85.7 | 95.14 | +| windowpane | 59.34 | 73.93 | +| grass | 66.51 | 83.18 | +| cabinet | 59.59 | 74.96 | +| sidewalk | 60.91 | 80.43 | +| person | 75.88 | 89.84 | +| earth | 31.48 | 44.54 | +| door | 42.08 | 55.55 | +| table | 53.77 | 70.86 | +| mountain | 52.73 | 69.81 | +| plant | 50.12 | 62.22 | +| curtain | 68.84 | 82.13 | +| chair | 47.91 | 61.77 | +| car | 79.94 | 90.36 | +| water | 50.22 | 61.67 | +| painting | 68.11 | 83.44 | +| sofa | 59.52 | 79.07 | +| shelf | 40.12 | 55.81 | +| house | 31.86 | 39.63 | +| sea | 57.49 | 82.91 | +| mirror | 62.57 | 72.83 | +| rug | 63.34 | 69.71 | +| field | 30.42 | 44.96 | +| armchair | 36.28 | 55.44 | +| seat | 61.31 | 72.59 | +| fence | 40.27 | 54.68 | +| desk | 43.62 | 61.51 | +| rock | 40.0 | 64.96 | +| wardrobe | 47.4 | 58.44 | +| lamp | 55.26 | 68.3 | +| bathtub | 69.82 | 74.61 | +| railing | 28.52 | 37.77 | +| cushion | 49.86 | 60.21 | +| base | 28.06 | 35.48 | +| box | 19.48 | 30.02 | +| column | 38.88 | 51.57 | +| signboard | 29.83 | 41.7 | +| chest of drawers | 34.66 | 53.94 | +| counter | 30.1 | 37.6 | +| sand | 35.68 | 56.01 | +| sink | 68.18 | 77.86 | +| skyscraper | 59.65 | 70.97 | +| fireplace | 62.99 | 80.89 | +| refrigerator | 66.64 | 77.45 | +| grandstand | 46.47 | 72.95 | +| path | 17.46 | 28.39 | +| stairs | 24.49 | 31.89 | +| runway | 69.95 | 89.92 | +| case | 47.22 | 63.38 | +| pool table | 87.51 | 96.22 | +| pillow | 58.83 | 74.07 | +| screen door | 63.05 | 65.36 | +| stairway | 28.66 | 39.01 | +| river | 7.69 | 17.52 | +| bridge | 52.61 | 63.28 | +| bookcase | 46.47 | 58.56 | +| blind | 46.01 | 54.09 | +| coffee table | 53.45 | 79.76 | +| toilet | 81.88 | 87.56 | +| flower | 33.76 | 45.02 | +| book | 41.74 | 63.35 | +| hill | 15.04 | 22.87 | +| bench | 34.82 | 44.34 | +| countertop | 55.73 | 76.61 | +| stove | 69.52 | 80.41 | +| palm | 48.2 | 70.32 | +| kitchen island | 39.26 | 61.67 | +| computer | 52.91 | 64.49 | +| swivel chair | 43.21 | 63.44 | +| boat | 62.23 | 76.36 | +| bar | 30.75 | 34.95 | +| arcade machine | 38.85 | 41.27 | +| hovel | 10.16 | 11.14 | +| bus | 70.92 | 89.52 | +| towel | 50.12 | 66.77 | +| light | 49.39 | 55.35 | +| truck | 12.45 | 17.79 | +| tower | 18.48 | 28.52 | +| chandelier | 58.09 | 69.02 | +| awning | 19.93 | 24.48 | +| streetlight | 18.89 | 23.83 | +| booth | 59.31 | 61.65 | +| television receiver | 55.77 | 72.54 | +| airplane | 56.41 | 66.08 | +| dirt track | 6.16 | 10.33 | +| apparel | 37.84 | 60.7 | +| pole | 20.58 | 28.73 | +| land | 4.69 | 6.3 | +| bannister | 4.3 | 6.06 | +| escalator | 13.11 | 14.93 | +| ottoman | 32.76 | 44.45 | +| bottle | 31.53 | 50.22 | +| buffet | 31.65 | 38.93 | +| poster | 27.74 | 34.74 | +| stage | 13.38 | 17.52 | +| van | 36.1 | 44.2 | +| ship | 13.33 | 15.69 | +| fountain | 15.44 | 16.86 | +| conveyer belt | 65.53 | 80.05 | +| canopy | 26.37 | 29.37 | +| washer | 68.26 | 70.99 | +| plaything | 13.99 | 18.99 | +| swimming pool | 44.95 | 61.67 | +| stool | 29.11 | 38.2 | +| barrel | 9.4 | 16.24 | +| basket | 20.1 | 27.24 | +| waterfall | 62.62 | 91.51 | +| tent | 89.37 | 98.98 | +| bag | 4.87 | 6.42 | +| minibike | 50.43 | 62.64 | +| cradle | 74.55 | 93.4 | +| oven | 18.16 | 41.61 | +| ball | 36.01 | 39.9 | +| food | 51.69 | 66.77 | +| step | 9.21 | 10.83 | +| tank | 34.33 | 39.01 | +| trade name | 20.79 | 23.62 | +| microwave | 35.78 | 40.55 | +| pot | 31.7 | 37.85 | +| animal | 55.53 | 59.03 | +| bicycle | 43.38 | 70.17 | +| lake | 61.38 | 66.39 | +| dishwasher | 53.61 | 66.86 | +| screen | 64.86 | 82.79 | +| blanket | 7.77 | 8.48 | +| sculpture | 35.89 | 52.66 | +| hood | 59.95 | 71.48 | +| sconce | 41.01 | 51.17 | +| vase | 27.87 | 41.94 | +| traffic light | 25.92 | 38.09 | +| tray | 5.31 | 7.85 | +| ashcan | 33.59 | 45.88 | +| fan | 53.53 | 66.41 | +| pier | 26.03 | 44.21 | +| crt screen | 11.23 | 15.88 | +| plate | 42.84 | 52.68 | +| monitor | 57.07 | 69.56 | +| bulletin board | 34.02 | 42.33 | +| shower | 1.13 | 1.57 | +| radiator | 48.65 | 54.37 | +| glass | 4.71 | 5.1 | +| clock | 22.01 | 27.88 | +| flag | 28.74 | 30.29 | ++---------------------+-------+-------+ +2022-06-19 01:25:48,852 - mmseg - INFO - Summary: +2022-06-19 01:25:48,852 - mmseg - INFO - ++------+-------+-------+ +| aAcc | mIoU | mAcc | ++------+-------+-------+ +| 81.0 | 43.47 | 54.62 | ++------+-------+-------+ +2022-06-19 01:25:48,854 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_128000.pth was removed +2022-06-19 01:25:49,694 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_144000.pth. +2022-06-19 01:25:49,694 - mmseg - INFO - Best mIoU is 0.4347 at 144000 iter. +2022-06-19 01:25:49,702 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:25:49,703 - mmseg - INFO - Iter(val) [250] aAcc: 0.8100, mIoU: 0.4347, mAcc: 0.5462, IoU.wall: 0.7471, IoU.building: 0.8044, IoU.sky: 0.9408, IoU.floor: 0.7899, IoU.tree: 0.7285, IoU.ceiling: 0.8278, IoU.road: 0.8156, IoU.bed : 0.8570, IoU.windowpane: 0.5934, IoU.grass: 0.6651, IoU.cabinet: 0.5959, IoU.sidewalk: 0.6091, IoU.person: 0.7588, IoU.earth: 0.3148, IoU.door: 0.4208, IoU.table: 0.5377, IoU.mountain: 0.5273, IoU.plant: 0.5012, IoU.curtain: 0.6884, IoU.chair: 0.4791, IoU.car: 0.7994, IoU.water: 0.5022, IoU.painting: 0.6811, IoU.sofa: 0.5952, IoU.shelf: 0.4012, IoU.house: 0.3186, IoU.sea: 0.5749, IoU.mirror: 0.6257, IoU.rug: 0.6334, IoU.field: 0.3042, IoU.armchair: 0.3628, IoU.seat: 0.6131, IoU.fence: 0.4027, IoU.desk: 0.4362, IoU.rock: 0.4000, IoU.wardrobe: 0.4740, IoU.lamp: 0.5526, IoU.bathtub: 0.6982, IoU.railing: 0.2852, IoU.cushion: 0.4986, IoU.base: 0.2806, IoU.box: 0.1948, IoU.column: 0.3888, IoU.signboard: 0.2983, IoU.chest of drawers: 0.3466, IoU.counter: 0.3010, IoU.sand: 0.3568, IoU.sink: 0.6818, IoU.skyscraper: 0.5965, IoU.fireplace: 0.6299, IoU.refrigerator: 0.6664, IoU.grandstand: 0.4647, IoU.path: 0.1746, IoU.stairs: 0.2449, IoU.runway: 0.6995, IoU.case: 0.4722, IoU.pool table: 0.8751, IoU.pillow: 0.5883, IoU.screen door: 0.6305, IoU.stairway: 0.2866, IoU.river: 0.0769, IoU.bridge: 0.5261, IoU.bookcase: 0.4647, IoU.blind: 0.4601, IoU.coffee table: 0.5345, IoU.toilet: 0.8188, IoU.flower: 0.3376, IoU.book: 0.4174, IoU.hill: 0.1504, IoU.bench: 0.3482, IoU.countertop: 0.5573, IoU.stove: 0.6952, IoU.palm: 0.4820, IoU.kitchen island: 0.3926, IoU.computer: 0.5291, IoU.swivel chair: 0.4321, IoU.boat: 0.6223, IoU.bar: 0.3075, IoU.arcade machine: 0.3885, IoU.hovel: 0.1016, IoU.bus: 0.7092, IoU.towel: 0.5012, IoU.light: 0.4939, IoU.truck: 0.1245, IoU.tower: 0.1848, IoU.chandelier: 0.5809, IoU.awning: 0.1993, IoU.streetlight: 0.1889, IoU.booth: 0.5931, IoU.television receiver: 0.5577, IoU.airplane: 0.5641, IoU.dirt track: 0.0616, IoU.apparel: 0.3784, IoU.pole: 0.2058, IoU.land: 0.0469, IoU.bannister: 0.0430, IoU.escalator: 0.1311, IoU.ottoman: 0.3276, IoU.bottle: 0.3153, IoU.buffet: 0.3165, IoU.poster: 0.2774, IoU.stage: 0.1338, IoU.van: 0.3610, IoU.ship: 0.1333, IoU.fountain: 0.1544, IoU.conveyer belt: 0.6553, IoU.canopy: 0.2637, IoU.washer: 0.6826, IoU.plaything: 0.1399, IoU.swimming pool: 0.4495, IoU.stool: 0.2911, IoU.barrel: 0.0940, IoU.basket: 0.2010, IoU.waterfall: 0.6262, IoU.tent: 0.8937, IoU.bag: 0.0487, IoU.minibike: 0.5043, IoU.cradle: 0.7455, IoU.oven: 0.1816, IoU.ball: 0.3601, IoU.food: 0.5169, IoU.step: 0.0921, IoU.tank: 0.3433, IoU.trade name: 0.2079, IoU.microwave: 0.3578, IoU.pot: 0.3170, IoU.animal: 0.5553, IoU.bicycle: 0.4338, IoU.lake: 0.6138, IoU.dishwasher: 0.5361, IoU.screen: 0.6486, IoU.blanket: 0.0777, IoU.sculpture: 0.3589, IoU.hood: 0.5995, IoU.sconce: 0.4101, IoU.vase: 0.2787, IoU.traffic light: 0.2592, IoU.tray: 0.0531, IoU.ashcan: 0.3359, IoU.fan: 0.5353, IoU.pier: 0.2603, IoU.crt screen: 0.1123, IoU.plate: 0.4284, IoU.monitor: 0.5707, IoU.bulletin board: 0.3402, IoU.shower: 0.0113, IoU.radiator: 0.4865, IoU.glass: 0.0471, IoU.clock: 0.2201, IoU.flag: 0.2874, Acc.wall: 0.8751, Acc.building: 0.9278, Acc.sky: 0.9689, Acc.floor: 0.8979, Acc.tree: 0.8695, Acc.ceiling: 0.9131, Acc.road: 0.8821, Acc.bed : 0.9514, Acc.windowpane: 0.7393, Acc.grass: 0.8318, Acc.cabinet: 0.7496, Acc.sidewalk: 0.8043, Acc.person: 0.8984, Acc.earth: 0.4454, Acc.door: 0.5555, Acc.table: 0.7086, Acc.mountain: 0.6981, Acc.plant: 0.6222, Acc.curtain: 0.8213, Acc.chair: 0.6177, Acc.car: 0.9036, Acc.water: 0.6167, Acc.painting: 0.8344, Acc.sofa: 0.7907, Acc.shelf: 0.5581, Acc.house: 0.3963, Acc.sea: 0.8291, Acc.mirror: 0.7283, Acc.rug: 0.6971, Acc.field: 0.4496, Acc.armchair: 0.5544, Acc.seat: 0.7259, Acc.fence: 0.5468, Acc.desk: 0.6151, Acc.rock: 0.6496, Acc.wardrobe: 0.5844, Acc.lamp: 0.6830, Acc.bathtub: 0.7461, Acc.railing: 0.3777, Acc.cushion: 0.6021, Acc.base: 0.3548, Acc.box: 0.3002, Acc.column: 0.5157, Acc.signboard: 0.4170, Acc.chest of drawers: 0.5394, Acc.counter: 0.3760, Acc.sand: 0.5601, Acc.sink: 0.7786, Acc.skyscraper: 0.7097, Acc.fireplace: 0.8089, Acc.refrigerator: 0.7745, Acc.grandstand: 0.7295, Acc.path: 0.2839, Acc.stairs: 0.3189, Acc.runway: 0.8992, Acc.case: 0.6338, Acc.pool table: 0.9622, Acc.pillow: 0.7407, Acc.screen door: 0.6536, Acc.stairway: 0.3901, Acc.river: 0.1752, Acc.bridge: 0.6328, Acc.bookcase: 0.5856, Acc.blind: 0.5409, Acc.coffee table: 0.7976, Acc.toilet: 0.8756, Acc.flower: 0.4502, Acc.book: 0.6335, Acc.hill: 0.2287, Acc.bench: 0.4434, Acc.countertop: 0.7661, Acc.stove: 0.8041, Acc.palm: 0.7032, Acc.kitchen island: 0.6167, Acc.computer: 0.6449, Acc.swivel chair: 0.6344, Acc.boat: 0.7636, Acc.bar: 0.3495, Acc.arcade machine: 0.4127, Acc.hovel: 0.1114, Acc.bus: 0.8952, Acc.towel: 0.6677, Acc.light: 0.5535, Acc.truck: 0.1779, Acc.tower: 0.2852, Acc.chandelier: 0.6902, Acc.awning: 0.2448, Acc.streetlight: 0.2383, Acc.booth: 0.6165, Acc.television receiver: 0.7254, Acc.airplane: 0.6608, Acc.dirt track: 0.1033, Acc.apparel: 0.6070, Acc.pole: 0.2873, Acc.land: 0.0630, Acc.bannister: 0.0606, Acc.escalator: 0.1493, Acc.ottoman: 0.4445, Acc.bottle: 0.5022, Acc.buffet: 0.3893, Acc.poster: 0.3474, Acc.stage: 0.1752, Acc.van: 0.4420, Acc.ship: 0.1569, Acc.fountain: 0.1686, Acc.conveyer belt: 0.8005, Acc.canopy: 0.2937, Acc.washer: 0.7099, Acc.plaything: 0.1899, Acc.swimming pool: 0.6167, Acc.stool: 0.3820, Acc.barrel: 0.1624, Acc.basket: 0.2724, Acc.waterfall: 0.9151, Acc.tent: 0.9898, Acc.bag: 0.0642, Acc.minibike: 0.6264, Acc.cradle: 0.9340, Acc.oven: 0.4161, Acc.ball: 0.3990, Acc.food: 0.6677, Acc.step: 0.1083, Acc.tank: 0.3901, Acc.trade name: 0.2362, Acc.microwave: 0.4055, Acc.pot: 0.3785, Acc.animal: 0.5903, Acc.bicycle: 0.7017, Acc.lake: 0.6639, Acc.dishwasher: 0.6686, Acc.screen: 0.8279, Acc.blanket: 0.0848, Acc.sculpture: 0.5266, Acc.hood: 0.7148, Acc.sconce: 0.5117, Acc.vase: 0.4194, Acc.traffic light: 0.3809, Acc.tray: 0.0785, Acc.ashcan: 0.4588, Acc.fan: 0.6641, Acc.pier: 0.4421, Acc.crt screen: 0.1588, Acc.plate: 0.5268, Acc.monitor: 0.6956, Acc.bulletin board: 0.4233, Acc.shower: 0.0157, Acc.radiator: 0.5437, Acc.glass: 0.0510, Acc.clock: 0.2788, Acc.flag: 0.3029 +2022-06-19 01:26:01,085 - mmseg - INFO - Iter [144050/160000] lr: 6.141e-06, eta: 1:02:45, time: 0.607, data_time: 0.383, memory: 36327, decode.loss_ce: 0.2643, decode.acc_seg: 72.0099, aux.loss_ce: 0.1289, aux.acc_seg: 70.4987, loss: 0.3932 +2022-06-19 01:26:12,505 - mmseg - INFO - Iter [144100/160000] lr: 6.122e-06, eta: 1:02:33, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2684, decode.acc_seg: 70.7188, aux.loss_ce: 0.1324, aux.acc_seg: 69.3114, loss: 0.4008 +2022-06-19 01:26:24,008 - mmseg - INFO - Iter [144150/160000] lr: 6.103e-06, eta: 1:02:21, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2592, decode.acc_seg: 72.9152, aux.loss_ce: 0.1269, aux.acc_seg: 71.3068, loss: 0.3861 +2022-06-19 01:26:35,279 - mmseg - INFO - Iter [144200/160000] lr: 6.083e-06, eta: 1:02:09, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2608, decode.acc_seg: 72.5454, aux.loss_ce: 0.1285, aux.acc_seg: 70.9339, loss: 0.3893 +2022-06-19 01:26:46,730 - mmseg - INFO - Iter [144250/160000] lr: 6.064e-06, eta: 1:01:57, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2681, decode.acc_seg: 72.9589, aux.loss_ce: 0.1316, aux.acc_seg: 71.3904, loss: 0.3997 +2022-06-19 01:26:57,973 - mmseg - INFO - Iter [144300/160000] lr: 6.045e-06, eta: 1:01:45, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2574, decode.acc_seg: 72.1274, aux.loss_ce: 0.1302, aux.acc_seg: 70.3463, loss: 0.3876 +2022-06-19 01:27:09,394 - mmseg - INFO - Iter [144350/160000] lr: 6.026e-06, eta: 1:01:33, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2589, decode.acc_seg: 71.7798, aux.loss_ce: 0.1279, aux.acc_seg: 70.3093, loss: 0.3867 +2022-06-19 01:27:20,845 - mmseg - INFO - Iter [144400/160000] lr: 6.006e-06, eta: 1:01:22, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2485, decode.acc_seg: 72.5367, aux.loss_ce: 0.1229, aux.acc_seg: 70.9354, loss: 0.3714 +2022-06-19 01:27:32,292 - mmseg - INFO - Iter [144450/160000] lr: 5.987e-06, eta: 1:01:10, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2560, decode.acc_seg: 73.3425, aux.loss_ce: 0.1272, aux.acc_seg: 71.5850, loss: 0.3832 +2022-06-19 01:27:43,360 - mmseg - INFO - Iter [144500/160000] lr: 5.968e-06, eta: 1:00:58, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2767, decode.acc_seg: 72.9867, aux.loss_ce: 0.1325, aux.acc_seg: 71.5758, loss: 0.4092 +2022-06-19 01:27:54,571 - mmseg - INFO - Iter [144550/160000] lr: 5.949e-06, eta: 1:00:46, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2470, decode.acc_seg: 73.4303, aux.loss_ce: 0.1226, aux.acc_seg: 71.9168, loss: 0.3697 +2022-06-19 01:28:05,898 - mmseg - INFO - Iter [144600/160000] lr: 5.929e-06, eta: 1:00:34, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2551, decode.acc_seg: 73.3434, aux.loss_ce: 0.1234, aux.acc_seg: 72.0276, loss: 0.3784 +2022-06-19 01:28:17,101 - mmseg - INFO - Iter [144650/160000] lr: 5.910e-06, eta: 1:00:22, time: 0.224, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2725, decode.acc_seg: 70.6705, aux.loss_ce: 0.1341, aux.acc_seg: 69.0779, loss: 0.4067 +2022-06-19 01:28:30,736 - mmseg - INFO - Iter [144700/160000] lr: 5.891e-06, eta: 1:00:11, time: 0.273, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2536, decode.acc_seg: 72.6298, aux.loss_ce: 0.1243, aux.acc_seg: 71.2396, loss: 0.3779 +2022-06-19 01:28:42,008 - mmseg - INFO - Iter [144750/160000] lr: 5.872e-06, eta: 0:59:59, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2600, decode.acc_seg: 71.0611, aux.loss_ce: 0.1321, aux.acc_seg: 69.2831, loss: 0.3920 +2022-06-19 01:28:53,452 - mmseg - INFO - Iter [144800/160000] lr: 5.852e-06, eta: 0:59:47, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2374, decode.acc_seg: 72.9199, aux.loss_ce: 0.1180, aux.acc_seg: 71.4879, loss: 0.3554 +2022-06-19 01:29:04,537 - mmseg - INFO - Iter [144850/160000] lr: 5.833e-06, eta: 0:59:35, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2569, decode.acc_seg: 72.7391, aux.loss_ce: 0.1269, aux.acc_seg: 71.1770, loss: 0.3838 +2022-06-19 01:29:15,770 - mmseg - INFO - Iter [144900/160000] lr: 5.814e-06, eta: 0:59:23, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2416, decode.acc_seg: 71.8639, aux.loss_ce: 0.1193, aux.acc_seg: 70.3445, loss: 0.3609 +2022-06-19 01:29:27,182 - mmseg - INFO - Iter [144950/160000] lr: 5.795e-06, eta: 0:59:11, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2560, decode.acc_seg: 73.8508, aux.loss_ce: 0.1276, aux.acc_seg: 72.2417, loss: 0.3835 +2022-06-19 01:29:38,345 - mmseg - INFO - Saving checkpoint at 145000 iterations +2022-06-19 01:29:39,285 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:29:39,285 - mmseg - INFO - Iter [145000/160000] lr: 5.775e-06, eta: 0:58:59, time: 0.242, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2537, decode.acc_seg: 70.7461, aux.loss_ce: 0.1252, aux.acc_seg: 69.1912, loss: 0.3789 +2022-06-19 01:29:50,445 - mmseg - INFO - Iter [145050/160000] lr: 5.756e-06, eta: 0:58:47, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2696, decode.acc_seg: 73.6883, aux.loss_ce: 0.1326, aux.acc_seg: 71.9992, loss: 0.4022 +2022-06-19 01:30:01,655 - mmseg - INFO - Iter [145100/160000] lr: 5.737e-06, eta: 0:58:35, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2513, decode.acc_seg: 73.0003, aux.loss_ce: 0.1228, aux.acc_seg: 71.4987, loss: 0.3741 +2022-06-19 01:30:12,890 - mmseg - INFO - Iter [145150/160000] lr: 5.718e-06, eta: 0:58:23, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2681, decode.acc_seg: 72.5407, aux.loss_ce: 0.1328, aux.acc_seg: 70.7965, loss: 0.4010 +2022-06-19 01:30:24,059 - mmseg - INFO - Iter [145200/160000] lr: 5.698e-06, eta: 0:58:11, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2654, decode.acc_seg: 71.6292, aux.loss_ce: 0.1321, aux.acc_seg: 69.9775, loss: 0.3975 +2022-06-19 01:30:35,404 - mmseg - INFO - Iter [145250/160000] lr: 5.679e-06, eta: 0:58:00, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2608, decode.acc_seg: 72.5630, aux.loss_ce: 0.1278, aux.acc_seg: 71.0123, loss: 0.3886 +2022-06-19 01:30:46,458 - mmseg - INFO - Iter [145300/160000] lr: 5.660e-06, eta: 0:57:48, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2642, decode.acc_seg: 71.0386, aux.loss_ce: 0.1313, aux.acc_seg: 69.3342, loss: 0.3955 +2022-06-19 01:30:57,698 - mmseg - INFO - Iter [145350/160000] lr: 5.641e-06, eta: 0:57:36, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2615, decode.acc_seg: 72.3699, aux.loss_ce: 0.1308, aux.acc_seg: 70.5592, loss: 0.3923 +2022-06-19 01:31:08,919 - mmseg - INFO - Iter [145400/160000] lr: 5.621e-06, eta: 0:57:24, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2644, decode.acc_seg: 71.7822, aux.loss_ce: 0.1289, aux.acc_seg: 70.1309, loss: 0.3933 +2022-06-19 01:31:20,331 - mmseg - INFO - Iter [145450/160000] lr: 5.602e-06, eta: 0:57:12, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2539, decode.acc_seg: 71.9550, aux.loss_ce: 0.1259, aux.acc_seg: 70.4147, loss: 0.3798 +2022-06-19 01:31:31,583 - mmseg - INFO - Iter [145500/160000] lr: 5.583e-06, eta: 0:57:00, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2460, decode.acc_seg: 72.5293, aux.loss_ce: 0.1221, aux.acc_seg: 70.9877, loss: 0.3682 +2022-06-19 01:31:42,825 - mmseg - INFO - Iter [145550/160000] lr: 5.564e-06, eta: 0:56:48, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2620, decode.acc_seg: 72.3648, aux.loss_ce: 0.1293, aux.acc_seg: 70.8269, loss: 0.3913 +2022-06-19 01:31:54,162 - mmseg - INFO - Iter [145600/160000] lr: 5.544e-06, eta: 0:56:36, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2569, decode.acc_seg: 74.0163, aux.loss_ce: 0.1256, aux.acc_seg: 72.4264, loss: 0.3825 +2022-06-19 01:32:05,316 - mmseg - INFO - Iter [145650/160000] lr: 5.525e-06, eta: 0:56:24, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2506, decode.acc_seg: 72.2563, aux.loss_ce: 0.1246, aux.acc_seg: 70.8078, loss: 0.3752 +2022-06-19 01:32:16,831 - mmseg - INFO - Iter [145700/160000] lr: 5.506e-06, eta: 0:56:12, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2503, decode.acc_seg: 73.2067, aux.loss_ce: 0.1230, aux.acc_seg: 71.7564, loss: 0.3733 +2022-06-19 01:32:28,404 - mmseg - INFO - Iter [145750/160000] lr: 5.487e-06, eta: 0:56:01, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2497, decode.acc_seg: 71.6225, aux.loss_ce: 0.1225, aux.acc_seg: 70.2325, loss: 0.3723 +2022-06-19 01:32:39,474 - mmseg - INFO - Iter [145800/160000] lr: 5.467e-06, eta: 0:55:49, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2515, decode.acc_seg: 72.5108, aux.loss_ce: 0.1257, aux.acc_seg: 70.8252, loss: 0.3773 +2022-06-19 01:32:50,886 - mmseg - INFO - Iter [145850/160000] lr: 5.448e-06, eta: 0:55:37, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2641, decode.acc_seg: 72.3831, aux.loss_ce: 0.1326, aux.acc_seg: 70.6933, loss: 0.3967 +2022-06-19 01:33:01,726 - mmseg - INFO - Iter [145900/160000] lr: 5.429e-06, eta: 0:55:25, time: 0.217, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2439, decode.acc_seg: 72.7888, aux.loss_ce: 0.1194, aux.acc_seg: 71.4340, loss: 0.3633 +2022-06-19 01:33:15,452 - mmseg - INFO - Iter [145950/160000] lr: 5.410e-06, eta: 0:55:13, time: 0.274, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2585, decode.acc_seg: 72.6376, aux.loss_ce: 0.1286, aux.acc_seg: 70.9766, loss: 0.3872 +2022-06-19 01:33:26,538 - mmseg - INFO - Saving checkpoint at 146000 iterations +2022-06-19 01:33:27,519 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:33:27,519 - mmseg - INFO - Iter [146000/160000] lr: 5.390e-06, eta: 0:55:02, time: 0.241, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2612, decode.acc_seg: 73.0492, aux.loss_ce: 0.1296, aux.acc_seg: 71.2914, loss: 0.3908 +2022-06-19 01:33:39,110 - mmseg - INFO - Iter [146050/160000] lr: 5.371e-06, eta: 0:54:50, time: 0.232, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2527, decode.acc_seg: 73.0362, aux.loss_ce: 0.1239, aux.acc_seg: 71.5968, loss: 0.3766 +2022-06-19 01:33:50,387 - mmseg - INFO - Iter [146100/160000] lr: 5.352e-06, eta: 0:54:38, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2626, decode.acc_seg: 71.3332, aux.loss_ce: 0.1318, aux.acc_seg: 69.5959, loss: 0.3944 +2022-06-19 01:34:01,631 - mmseg - INFO - Iter [146150/160000] lr: 5.333e-06, eta: 0:54:26, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2633, decode.acc_seg: 70.9679, aux.loss_ce: 0.1279, aux.acc_seg: 69.5003, loss: 0.3913 +2022-06-19 01:34:12,869 - mmseg - INFO - Iter [146200/160000] lr: 5.313e-06, eta: 0:54:14, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2492, decode.acc_seg: 72.7452, aux.loss_ce: 0.1239, aux.acc_seg: 71.1267, loss: 0.3732 +2022-06-19 01:34:23,892 - mmseg - INFO - Iter [146250/160000] lr: 5.294e-06, eta: 0:54:02, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2591, decode.acc_seg: 72.3057, aux.loss_ce: 0.1280, aux.acc_seg: 70.7516, loss: 0.3871 +2022-06-19 01:34:35,184 - mmseg - INFO - Iter [146300/160000] lr: 5.275e-06, eta: 0:53:50, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2509, decode.acc_seg: 72.0135, aux.loss_ce: 0.1234, aux.acc_seg: 70.5594, loss: 0.3743 +2022-06-19 01:34:46,320 - mmseg - INFO - Iter [146350/160000] lr: 5.256e-06, eta: 0:53:38, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2554, decode.acc_seg: 71.6104, aux.loss_ce: 0.1252, aux.acc_seg: 70.0927, loss: 0.3806 +2022-06-19 01:34:57,790 - mmseg - INFO - Iter [146400/160000] lr: 5.236e-06, eta: 0:53:26, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2449, decode.acc_seg: 72.1447, aux.loss_ce: 0.1217, aux.acc_seg: 70.6640, loss: 0.3666 +2022-06-19 01:35:09,030 - mmseg - INFO - Iter [146450/160000] lr: 5.217e-06, eta: 0:53:15, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2718, decode.acc_seg: 72.7145, aux.loss_ce: 0.1364, aux.acc_seg: 70.9075, loss: 0.4082 +2022-06-19 01:35:20,526 - mmseg - INFO - Iter [146500/160000] lr: 5.198e-06, eta: 0:53:03, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2657, decode.acc_seg: 72.9642, aux.loss_ce: 0.1308, aux.acc_seg: 71.3628, loss: 0.3964 +2022-06-19 01:35:32,150 - mmseg - INFO - Iter [146550/160000] lr: 5.179e-06, eta: 0:52:51, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2467, decode.acc_seg: 73.5717, aux.loss_ce: 0.1237, aux.acc_seg: 72.0420, loss: 0.3705 +2022-06-19 01:35:43,514 - mmseg - INFO - Iter [146600/160000] lr: 5.159e-06, eta: 0:52:39, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2561, decode.acc_seg: 72.4566, aux.loss_ce: 0.1268, aux.acc_seg: 70.7356, loss: 0.3829 +2022-06-19 01:35:54,676 - mmseg - INFO - Iter [146650/160000] lr: 5.140e-06, eta: 0:52:27, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2438, decode.acc_seg: 72.3664, aux.loss_ce: 0.1213, aux.acc_seg: 70.5991, loss: 0.3651 +2022-06-19 01:36:06,252 - mmseg - INFO - Iter [146700/160000] lr: 5.121e-06, eta: 0:52:15, time: 0.232, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2591, decode.acc_seg: 71.9340, aux.loss_ce: 0.1292, aux.acc_seg: 70.3424, loss: 0.3883 +2022-06-19 01:36:17,930 - mmseg - INFO - Iter [146750/160000] lr: 5.102e-06, eta: 0:52:03, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2725, decode.acc_seg: 71.7132, aux.loss_ce: 0.1373, aux.acc_seg: 69.8171, loss: 0.4099 +2022-06-19 01:36:29,300 - mmseg - INFO - Iter [146800/160000] lr: 5.082e-06, eta: 0:51:52, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2440, decode.acc_seg: 72.5241, aux.loss_ce: 0.1202, aux.acc_seg: 71.0151, loss: 0.3642 +2022-06-19 01:36:40,454 - mmseg - INFO - Iter [146850/160000] lr: 5.063e-06, eta: 0:51:40, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2561, decode.acc_seg: 73.5846, aux.loss_ce: 0.1283, aux.acc_seg: 71.8851, loss: 0.3844 +2022-06-19 01:36:52,021 - mmseg - INFO - Iter [146900/160000] lr: 5.044e-06, eta: 0:51:28, time: 0.231, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2570, decode.acc_seg: 71.7087, aux.loss_ce: 0.1275, aux.acc_seg: 70.0894, loss: 0.3845 +2022-06-19 01:37:03,315 - mmseg - INFO - Iter [146950/160000] lr: 5.025e-06, eta: 0:51:16, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2361, decode.acc_seg: 71.8525, aux.loss_ce: 0.1172, aux.acc_seg: 70.2873, loss: 0.3533 +2022-06-19 01:37:14,618 - mmseg - INFO - Saving checkpoint at 147000 iterations +2022-06-19 01:37:15,575 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:37:15,577 - mmseg - INFO - Iter [147000/160000] lr: 5.005e-06, eta: 0:51:04, time: 0.245, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2492, decode.acc_seg: 73.7623, aux.loss_ce: 0.1224, aux.acc_seg: 72.3187, loss: 0.3716 +2022-06-19 01:37:26,826 - mmseg - INFO - Iter [147050/160000] lr: 4.986e-06, eta: 0:50:52, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2473, decode.acc_seg: 71.3613, aux.loss_ce: 0.1229, aux.acc_seg: 69.7458, loss: 0.3701 +2022-06-19 01:37:38,265 - mmseg - INFO - Iter [147100/160000] lr: 4.967e-06, eta: 0:50:40, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2682, decode.acc_seg: 72.0126, aux.loss_ce: 0.1333, aux.acc_seg: 70.3554, loss: 0.4015 +2022-06-19 01:37:49,727 - mmseg - INFO - Iter [147150/160000] lr: 4.948e-06, eta: 0:50:29, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2660, decode.acc_seg: 71.2441, aux.loss_ce: 0.1324, aux.acc_seg: 69.6037, loss: 0.3984 +2022-06-19 01:38:00,661 - mmseg - INFO - Iter [147200/160000] lr: 4.928e-06, eta: 0:50:17, time: 0.219, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2632, decode.acc_seg: 72.6792, aux.loss_ce: 0.1304, aux.acc_seg: 70.9232, loss: 0.3936 +2022-06-19 01:38:14,471 - mmseg - INFO - Iter [147250/160000] lr: 4.909e-06, eta: 0:50:05, time: 0.276, data_time: 0.051, memory: 36327, decode.loss_ce: 0.2564, decode.acc_seg: 73.3133, aux.loss_ce: 0.1275, aux.acc_seg: 71.8044, loss: 0.3839 +2022-06-19 01:38:25,488 - mmseg - INFO - Iter [147300/160000] lr: 4.890e-06, eta: 0:49:53, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2509, decode.acc_seg: 73.2093, aux.loss_ce: 0.1213, aux.acc_seg: 71.8334, loss: 0.3722 +2022-06-19 01:38:36,564 - mmseg - INFO - Iter [147350/160000] lr: 4.871e-06, eta: 0:49:41, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2493, decode.acc_seg: 71.5194, aux.loss_ce: 0.1227, aux.acc_seg: 70.1100, loss: 0.3720 +2022-06-19 01:38:47,801 - mmseg - INFO - Iter [147400/160000] lr: 4.851e-06, eta: 0:49:30, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2544, decode.acc_seg: 72.6159, aux.loss_ce: 0.1284, aux.acc_seg: 70.7535, loss: 0.3828 +2022-06-19 01:38:59,010 - mmseg - INFO - Iter [147450/160000] lr: 4.832e-06, eta: 0:49:18, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2535, decode.acc_seg: 72.4061, aux.loss_ce: 0.1262, aux.acc_seg: 70.8205, loss: 0.3797 +2022-06-19 01:39:10,417 - mmseg - INFO - Iter [147500/160000] lr: 4.813e-06, eta: 0:49:06, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2538, decode.acc_seg: 72.5976, aux.loss_ce: 0.1247, aux.acc_seg: 71.0669, loss: 0.3785 +2022-06-19 01:39:21,602 - mmseg - INFO - Iter [147550/160000] lr: 4.794e-06, eta: 0:48:54, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2586, decode.acc_seg: 70.1613, aux.loss_ce: 0.1249, aux.acc_seg: 68.7289, loss: 0.3835 +2022-06-19 01:39:32,623 - mmseg - INFO - Iter [147600/160000] lr: 4.774e-06, eta: 0:48:42, time: 0.220, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2598, decode.acc_seg: 70.9992, aux.loss_ce: 0.1272, aux.acc_seg: 69.6363, loss: 0.3871 +2022-06-19 01:39:43,901 - mmseg - INFO - Iter [147650/160000] lr: 4.755e-06, eta: 0:48:30, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2475, decode.acc_seg: 72.9174, aux.loss_ce: 0.1242, aux.acc_seg: 71.2144, loss: 0.3717 +2022-06-19 01:39:55,298 - mmseg - INFO - Iter [147700/160000] lr: 4.736e-06, eta: 0:48:18, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2604, decode.acc_seg: 72.5610, aux.loss_ce: 0.1282, aux.acc_seg: 71.1159, loss: 0.3886 +2022-06-19 01:40:06,664 - mmseg - INFO - Iter [147750/160000] lr: 4.717e-06, eta: 0:48:06, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2504, decode.acc_seg: 71.9456, aux.loss_ce: 0.1248, aux.acc_seg: 70.3856, loss: 0.3752 +2022-06-19 01:40:17,727 - mmseg - INFO - Iter [147800/160000] lr: 4.697e-06, eta: 0:47:54, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2590, decode.acc_seg: 71.8874, aux.loss_ce: 0.1286, aux.acc_seg: 70.3759, loss: 0.3875 +2022-06-19 01:40:29,099 - mmseg - INFO - Iter [147850/160000] lr: 4.678e-06, eta: 0:47:43, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2517, decode.acc_seg: 71.3624, aux.loss_ce: 0.1227, aux.acc_seg: 69.8542, loss: 0.3744 +2022-06-19 01:40:40,478 - mmseg - INFO - Iter [147900/160000] lr: 4.659e-06, eta: 0:47:31, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2520, decode.acc_seg: 73.3351, aux.loss_ce: 0.1235, aux.acc_seg: 71.8755, loss: 0.3755 +2022-06-19 01:40:51,979 - mmseg - INFO - Iter [147950/160000] lr: 4.640e-06, eta: 0:47:19, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2693, decode.acc_seg: 73.7119, aux.loss_ce: 0.1355, aux.acc_seg: 71.8834, loss: 0.4047 +2022-06-19 01:41:03,252 - mmseg - INFO - Saving checkpoint at 148000 iterations +2022-06-19 01:41:04,212 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:41:04,212 - mmseg - INFO - Iter [148000/160000] lr: 4.620e-06, eta: 0:47:07, time: 0.245, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2603, decode.acc_seg: 72.4834, aux.loss_ce: 0.1295, aux.acc_seg: 70.8046, loss: 0.3897 +2022-06-19 01:41:15,487 - mmseg - INFO - Iter [148050/160000] lr: 4.601e-06, eta: 0:46:55, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2493, decode.acc_seg: 71.7667, aux.loss_ce: 0.1224, aux.acc_seg: 70.2464, loss: 0.3717 +2022-06-19 01:41:27,099 - mmseg - INFO - Iter [148100/160000] lr: 4.582e-06, eta: 0:46:44, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2426, decode.acc_seg: 72.2830, aux.loss_ce: 0.1190, aux.acc_seg: 70.8948, loss: 0.3616 +2022-06-19 01:41:38,528 - mmseg - INFO - Iter [148150/160000] lr: 4.563e-06, eta: 0:46:32, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2698, decode.acc_seg: 71.5395, aux.loss_ce: 0.1328, aux.acc_seg: 69.8337, loss: 0.4026 +2022-06-19 01:41:49,545 - mmseg - INFO - Iter [148200/160000] lr: 4.543e-06, eta: 0:46:20, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2534, decode.acc_seg: 73.6581, aux.loss_ce: 0.1268, aux.acc_seg: 71.7971, loss: 0.3802 +2022-06-19 01:42:00,715 - mmseg - INFO - Iter [148250/160000] lr: 4.524e-06, eta: 0:46:08, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2482, decode.acc_seg: 73.4428, aux.loss_ce: 0.1214, aux.acc_seg: 71.9900, loss: 0.3695 +2022-06-19 01:42:11,914 - mmseg - INFO - Iter [148300/160000] lr: 4.505e-06, eta: 0:45:56, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2530, decode.acc_seg: 72.2814, aux.loss_ce: 0.1267, aux.acc_seg: 70.6554, loss: 0.3797 +2022-06-19 01:42:23,458 - mmseg - INFO - Iter [148350/160000] lr: 4.486e-06, eta: 0:45:44, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2521, decode.acc_seg: 72.7921, aux.loss_ce: 0.1234, aux.acc_seg: 71.3172, loss: 0.3755 +2022-06-19 01:42:34,834 - mmseg - INFO - Iter [148400/160000] lr: 4.466e-06, eta: 0:45:32, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2524, decode.acc_seg: 74.6644, aux.loss_ce: 0.1256, aux.acc_seg: 73.0077, loss: 0.3780 +2022-06-19 01:42:46,002 - mmseg - INFO - Iter [148450/160000] lr: 4.447e-06, eta: 0:45:21, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2331, decode.acc_seg: 72.2800, aux.loss_ce: 0.1146, aux.acc_seg: 70.8285, loss: 0.3477 +2022-06-19 01:42:59,518 - mmseg - INFO - Iter [148500/160000] lr: 4.428e-06, eta: 0:45:09, time: 0.270, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2503, decode.acc_seg: 72.7848, aux.loss_ce: 0.1247, aux.acc_seg: 71.0638, loss: 0.3751 +2022-06-19 01:43:10,752 - mmseg - INFO - Iter [148550/160000] lr: 4.409e-06, eta: 0:44:57, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2441, decode.acc_seg: 70.4194, aux.loss_ce: 0.1220, aux.acc_seg: 68.8702, loss: 0.3662 +2022-06-19 01:43:21,981 - mmseg - INFO - Iter [148600/160000] lr: 4.389e-06, eta: 0:44:45, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2330, decode.acc_seg: 73.6038, aux.loss_ce: 0.1175, aux.acc_seg: 71.9986, loss: 0.3505 +2022-06-19 01:43:33,213 - mmseg - INFO - Iter [148650/160000] lr: 4.370e-06, eta: 0:44:33, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2640, decode.acc_seg: 72.8073, aux.loss_ce: 0.1297, aux.acc_seg: 71.3020, loss: 0.3937 +2022-06-19 01:43:44,333 - mmseg - INFO - Iter [148700/160000] lr: 4.351e-06, eta: 0:44:22, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2573, decode.acc_seg: 72.6722, aux.loss_ce: 0.1296, aux.acc_seg: 70.7542, loss: 0.3869 +2022-06-19 01:43:55,236 - mmseg - INFO - Iter [148750/160000] lr: 4.332e-06, eta: 0:44:10, time: 0.218, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2455, decode.acc_seg: 73.2082, aux.loss_ce: 0.1226, aux.acc_seg: 71.6454, loss: 0.3681 +2022-06-19 01:44:06,956 - mmseg - INFO - Iter [148800/160000] lr: 4.312e-06, eta: 0:43:58, time: 0.234, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2786, decode.acc_seg: 71.6697, aux.loss_ce: 0.1346, aux.acc_seg: 70.1998, loss: 0.4132 +2022-06-19 01:44:18,293 - mmseg - INFO - Iter [148850/160000] lr: 4.293e-06, eta: 0:43:46, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2427, decode.acc_seg: 73.2619, aux.loss_ce: 0.1209, aux.acc_seg: 71.7227, loss: 0.3636 +2022-06-19 01:44:29,631 - mmseg - INFO - Iter [148900/160000] lr: 4.274e-06, eta: 0:43:34, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2677, decode.acc_seg: 72.7761, aux.loss_ce: 0.1349, aux.acc_seg: 71.0116, loss: 0.4026 +2022-06-19 01:44:40,726 - mmseg - INFO - Iter [148950/160000] lr: 4.255e-06, eta: 0:43:22, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2509, decode.acc_seg: 73.8533, aux.loss_ce: 0.1236, aux.acc_seg: 72.3585, loss: 0.3745 +2022-06-19 01:44:51,888 - mmseg - INFO - Saving checkpoint at 149000 iterations +2022-06-19 01:44:52,834 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:44:52,834 - mmseg - INFO - Iter [149000/160000] lr: 4.235e-06, eta: 0:43:11, time: 0.243, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2571, decode.acc_seg: 72.7415, aux.loss_ce: 0.1280, aux.acc_seg: 71.0867, loss: 0.3851 +2022-06-19 01:45:04,183 - mmseg - INFO - Iter [149050/160000] lr: 4.216e-06, eta: 0:42:59, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2602, decode.acc_seg: 71.8333, aux.loss_ce: 0.1264, aux.acc_seg: 70.2718, loss: 0.3866 +2022-06-19 01:45:15,488 - mmseg - INFO - Iter [149100/160000] lr: 4.197e-06, eta: 0:42:47, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2516, decode.acc_seg: 73.0549, aux.loss_ce: 0.1254, aux.acc_seg: 71.4017, loss: 0.3771 +2022-06-19 01:45:26,804 - mmseg - INFO - Iter [149150/160000] lr: 4.178e-06, eta: 0:42:35, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2397, decode.acc_seg: 73.3691, aux.loss_ce: 0.1186, aux.acc_seg: 71.8190, loss: 0.3583 +2022-06-19 01:45:38,159 - mmseg - INFO - Iter [149200/160000] lr: 4.158e-06, eta: 0:42:23, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2549, decode.acc_seg: 72.5031, aux.loss_ce: 0.1246, aux.acc_seg: 71.1074, loss: 0.3794 +2022-06-19 01:45:49,817 - mmseg - INFO - Iter [149250/160000] lr: 4.139e-06, eta: 0:42:11, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2787, decode.acc_seg: 71.9743, aux.loss_ce: 0.1378, aux.acc_seg: 70.2106, loss: 0.4165 +2022-06-19 01:46:00,990 - mmseg - INFO - Iter [149300/160000] lr: 4.120e-06, eta: 0:41:59, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2541, decode.acc_seg: 74.1171, aux.loss_ce: 0.1274, aux.acc_seg: 72.2950, loss: 0.3815 +2022-06-19 01:46:12,567 - mmseg - INFO - Iter [149350/160000] lr: 4.101e-06, eta: 0:41:48, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2662, decode.acc_seg: 72.8220, aux.loss_ce: 0.1306, aux.acc_seg: 71.2300, loss: 0.3968 +2022-06-19 01:46:23,902 - mmseg - INFO - Iter [149400/160000] lr: 4.081e-06, eta: 0:41:36, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2674, decode.acc_seg: 71.9179, aux.loss_ce: 0.1297, aux.acc_seg: 70.4596, loss: 0.3971 +2022-06-19 01:46:35,342 - mmseg - INFO - Iter [149450/160000] lr: 4.062e-06, eta: 0:41:24, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2480, decode.acc_seg: 73.4655, aux.loss_ce: 0.1224, aux.acc_seg: 71.8733, loss: 0.3703 +2022-06-19 01:46:46,653 - mmseg - INFO - Iter [149500/160000] lr: 4.043e-06, eta: 0:41:12, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2566, decode.acc_seg: 70.1005, aux.loss_ce: 0.1264, aux.acc_seg: 68.7053, loss: 0.3830 +2022-06-19 01:46:57,772 - mmseg - INFO - Iter [149550/160000] lr: 4.024e-06, eta: 0:41:00, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2486, decode.acc_seg: 73.3222, aux.loss_ce: 0.1249, aux.acc_seg: 71.6428, loss: 0.3735 +2022-06-19 01:47:09,319 - mmseg - INFO - Iter [149600/160000] lr: 4.004e-06, eta: 0:40:48, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2532, decode.acc_seg: 73.8327, aux.loss_ce: 0.1246, aux.acc_seg: 72.2281, loss: 0.3778 +2022-06-19 01:47:20,952 - mmseg - INFO - Iter [149650/160000] lr: 3.985e-06, eta: 0:40:37, time: 0.233, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2533, decode.acc_seg: 71.6500, aux.loss_ce: 0.1251, aux.acc_seg: 70.0897, loss: 0.3783 +2022-06-19 01:47:32,165 - mmseg - INFO - Iter [149700/160000] lr: 3.966e-06, eta: 0:40:25, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2475, decode.acc_seg: 72.6740, aux.loss_ce: 0.1227, aux.acc_seg: 71.1086, loss: 0.3702 +2022-06-19 01:47:45,777 - mmseg - INFO - Iter [149750/160000] lr: 3.947e-06, eta: 0:40:13, time: 0.273, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2549, decode.acc_seg: 73.4277, aux.loss_ce: 0.1264, aux.acc_seg: 71.8213, loss: 0.3813 +2022-06-19 01:47:57,132 - mmseg - INFO - Iter [149800/160000] lr: 3.927e-06, eta: 0:40:01, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2640, decode.acc_seg: 72.2403, aux.loss_ce: 0.1293, aux.acc_seg: 70.7388, loss: 0.3933 +2022-06-19 01:48:08,381 - mmseg - INFO - Iter [149850/160000] lr: 3.908e-06, eta: 0:39:50, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2615, decode.acc_seg: 71.2558, aux.loss_ce: 0.1285, aux.acc_seg: 69.7321, loss: 0.3900 +2022-06-19 01:48:19,617 - mmseg - INFO - Iter [149900/160000] lr: 3.889e-06, eta: 0:39:38, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2585, decode.acc_seg: 72.3764, aux.loss_ce: 0.1267, aux.acc_seg: 70.7283, loss: 0.3852 +2022-06-19 01:48:30,975 - mmseg - INFO - Iter [149950/160000] lr: 3.870e-06, eta: 0:39:26, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2724, decode.acc_seg: 72.5207, aux.loss_ce: 0.1335, aux.acc_seg: 70.8587, loss: 0.4059 +2022-06-19 01:48:42,292 - mmseg - INFO - Saving checkpoint at 150000 iterations +2022-06-19 01:48:43,239 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:48:43,239 - mmseg - INFO - Iter [150000/160000] lr: 3.850e-06, eta: 0:39:14, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2363, decode.acc_seg: 70.7450, aux.loss_ce: 0.1172, aux.acc_seg: 69.1768, loss: 0.3535 +2022-06-19 01:48:54,422 - mmseg - INFO - Iter [150050/160000] lr: 3.831e-06, eta: 0:39:02, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2505, decode.acc_seg: 73.3832, aux.loss_ce: 0.1257, aux.acc_seg: 71.7135, loss: 0.3762 +2022-06-19 01:49:05,750 - mmseg - INFO - Iter [150100/160000] lr: 3.812e-06, eta: 0:38:51, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2411, decode.acc_seg: 71.9919, aux.loss_ce: 0.1217, aux.acc_seg: 70.2439, loss: 0.3629 +2022-06-19 01:49:17,049 - mmseg - INFO - Iter [150150/160000] lr: 3.793e-06, eta: 0:38:39, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2604, decode.acc_seg: 71.1139, aux.loss_ce: 0.1276, aux.acc_seg: 69.7585, loss: 0.3880 +2022-06-19 01:49:28,276 - mmseg - INFO - Iter [150200/160000] lr: 3.773e-06, eta: 0:38:27, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2534, decode.acc_seg: 72.3667, aux.loss_ce: 0.1260, aux.acc_seg: 70.9106, loss: 0.3794 +2022-06-19 01:49:39,772 - mmseg - INFO - Iter [150250/160000] lr: 3.754e-06, eta: 0:38:15, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2501, decode.acc_seg: 72.5929, aux.loss_ce: 0.1262, aux.acc_seg: 70.8548, loss: 0.3763 +2022-06-19 01:49:51,079 - mmseg - INFO - Iter [150300/160000] lr: 3.735e-06, eta: 0:38:03, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2693, decode.acc_seg: 72.8734, aux.loss_ce: 0.1332, aux.acc_seg: 71.1635, loss: 0.4025 +2022-06-19 01:50:02,215 - mmseg - INFO - Iter [150350/160000] lr: 3.716e-06, eta: 0:37:51, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2485, decode.acc_seg: 73.1510, aux.loss_ce: 0.1231, aux.acc_seg: 71.5048, loss: 0.3716 +2022-06-19 01:50:13,623 - mmseg - INFO - Iter [150400/160000] lr: 3.696e-06, eta: 0:37:40, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2601, decode.acc_seg: 71.9276, aux.loss_ce: 0.1286, aux.acc_seg: 70.3642, loss: 0.3887 +2022-06-19 01:50:24,561 - mmseg - INFO - Iter [150450/160000] lr: 3.677e-06, eta: 0:37:28, time: 0.219, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2419, decode.acc_seg: 73.5488, aux.loss_ce: 0.1196, aux.acc_seg: 71.9790, loss: 0.3615 +2022-06-19 01:50:36,033 - mmseg - INFO - Iter [150500/160000] lr: 3.658e-06, eta: 0:37:16, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2413, decode.acc_seg: 72.3374, aux.loss_ce: 0.1220, aux.acc_seg: 70.5210, loss: 0.3633 +2022-06-19 01:50:47,467 - mmseg - INFO - Iter [150550/160000] lr: 3.639e-06, eta: 0:37:04, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2489, decode.acc_seg: 74.3882, aux.loss_ce: 0.1238, aux.acc_seg: 72.7389, loss: 0.3727 +2022-06-19 01:50:58,973 - mmseg - INFO - Iter [150600/160000] lr: 3.619e-06, eta: 0:36:52, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2505, decode.acc_seg: 72.9756, aux.loss_ce: 0.1245, aux.acc_seg: 71.3530, loss: 0.3749 +2022-06-19 01:51:10,421 - mmseg - INFO - Iter [150650/160000] lr: 3.600e-06, eta: 0:36:40, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2579, decode.acc_seg: 72.0466, aux.loss_ce: 0.1273, aux.acc_seg: 70.4692, loss: 0.3852 +2022-06-19 01:51:21,902 - mmseg - INFO - Iter [150700/160000] lr: 3.581e-06, eta: 0:36:29, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2419, decode.acc_seg: 72.8518, aux.loss_ce: 0.1222, aux.acc_seg: 71.2394, loss: 0.3641 +2022-06-19 01:51:33,125 - mmseg - INFO - Iter [150750/160000] lr: 3.562e-06, eta: 0:36:17, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2406, decode.acc_seg: 73.9053, aux.loss_ce: 0.1198, aux.acc_seg: 72.3250, loss: 0.3604 +2022-06-19 01:51:44,437 - mmseg - INFO - Iter [150800/160000] lr: 3.542e-06, eta: 0:36:05, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2611, decode.acc_seg: 72.2131, aux.loss_ce: 0.1281, aux.acc_seg: 70.6715, loss: 0.3892 +2022-06-19 01:51:55,823 - mmseg - INFO - Iter [150850/160000] lr: 3.523e-06, eta: 0:35:53, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2511, decode.acc_seg: 71.4415, aux.loss_ce: 0.1253, aux.acc_seg: 69.7956, loss: 0.3764 +2022-06-19 01:52:07,007 - mmseg - INFO - Iter [150900/160000] lr: 3.504e-06, eta: 0:35:41, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2650, decode.acc_seg: 73.1702, aux.loss_ce: 0.1303, aux.acc_seg: 71.4401, loss: 0.3953 +2022-06-19 01:52:18,350 - mmseg - INFO - Iter [150950/160000] lr: 3.485e-06, eta: 0:35:29, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2586, decode.acc_seg: 71.9571, aux.loss_ce: 0.1265, aux.acc_seg: 70.4744, loss: 0.3851 +2022-06-19 01:52:32,208 - mmseg - INFO - Saving checkpoint at 151000 iterations +2022-06-19 01:52:33,215 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:52:33,215 - mmseg - INFO - Iter [151000/160000] lr: 3.465e-06, eta: 0:35:18, time: 0.297, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2509, decode.acc_seg: 73.8582, aux.loss_ce: 0.1243, aux.acc_seg: 72.2449, loss: 0.3752 +2022-06-19 01:52:44,595 - mmseg - INFO - Iter [151050/160000] lr: 3.446e-06, eta: 0:35:06, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2498, decode.acc_seg: 71.5722, aux.loss_ce: 0.1241, aux.acc_seg: 70.0541, loss: 0.3739 +2022-06-19 01:52:55,872 - mmseg - INFO - Iter [151100/160000] lr: 3.427e-06, eta: 0:34:54, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2529, decode.acc_seg: 71.8262, aux.loss_ce: 0.1263, aux.acc_seg: 70.3072, loss: 0.3792 +2022-06-19 01:53:07,111 - mmseg - INFO - Iter [151150/160000] lr: 3.408e-06, eta: 0:34:43, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2513, decode.acc_seg: 71.2018, aux.loss_ce: 0.1273, aux.acc_seg: 69.4642, loss: 0.3786 +2022-06-19 01:53:18,631 - mmseg - INFO - Iter [151200/160000] lr: 3.388e-06, eta: 0:34:31, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2531, decode.acc_seg: 70.6511, aux.loss_ce: 0.1253, aux.acc_seg: 68.9923, loss: 0.3784 +2022-06-19 01:53:29,927 - mmseg - INFO - Iter [151250/160000] lr: 3.369e-06, eta: 0:34:19, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2542, decode.acc_seg: 71.2906, aux.loss_ce: 0.1269, aux.acc_seg: 69.5622, loss: 0.3810 +2022-06-19 01:53:41,208 - mmseg - INFO - Iter [151300/160000] lr: 3.350e-06, eta: 0:34:07, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2478, decode.acc_seg: 73.3060, aux.loss_ce: 0.1228, aux.acc_seg: 71.8224, loss: 0.3706 +2022-06-19 01:53:52,394 - mmseg - INFO - Iter [151350/160000] lr: 3.331e-06, eta: 0:33:55, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2481, decode.acc_seg: 70.9522, aux.loss_ce: 0.1233, aux.acc_seg: 69.4469, loss: 0.3714 +2022-06-19 01:54:03,656 - mmseg - INFO - Iter [151400/160000] lr: 3.311e-06, eta: 0:33:43, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2381, decode.acc_seg: 71.3181, aux.loss_ce: 0.1196, aux.acc_seg: 69.7484, loss: 0.3576 +2022-06-19 01:54:14,873 - mmseg - INFO - Iter [151450/160000] lr: 3.292e-06, eta: 0:33:32, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2574, decode.acc_seg: 71.7998, aux.loss_ce: 0.1279, aux.acc_seg: 70.1994, loss: 0.3853 +2022-06-19 01:54:26,040 - mmseg - INFO - Iter [151500/160000] lr: 3.273e-06, eta: 0:33:20, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2430, decode.acc_seg: 74.8043, aux.loss_ce: 0.1221, aux.acc_seg: 73.1951, loss: 0.3651 +2022-06-19 01:54:37,206 - mmseg - INFO - Iter [151550/160000] lr: 3.254e-06, eta: 0:33:08, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2589, decode.acc_seg: 71.8261, aux.loss_ce: 0.1301, aux.acc_seg: 70.0504, loss: 0.3890 +2022-06-19 01:54:48,587 - mmseg - INFO - Iter [151600/160000] lr: 3.234e-06, eta: 0:32:56, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2385, decode.acc_seg: 72.1834, aux.loss_ce: 0.1192, aux.acc_seg: 70.4979, loss: 0.3577 +2022-06-19 01:54:59,901 - mmseg - INFO - Iter [151650/160000] lr: 3.215e-06, eta: 0:32:44, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2408, decode.acc_seg: 72.8802, aux.loss_ce: 0.1217, aux.acc_seg: 71.2848, loss: 0.3626 +2022-06-19 01:55:11,113 - mmseg - INFO - Iter [151700/160000] lr: 3.196e-06, eta: 0:32:33, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2633, decode.acc_seg: 71.9798, aux.loss_ce: 0.1307, aux.acc_seg: 70.1727, loss: 0.3940 +2022-06-19 01:55:22,475 - mmseg - INFO - Iter [151750/160000] lr: 3.177e-06, eta: 0:32:21, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2357, decode.acc_seg: 74.1826, aux.loss_ce: 0.1164, aux.acc_seg: 72.7503, loss: 0.3521 +2022-06-19 01:55:33,963 - mmseg - INFO - Iter [151800/160000] lr: 3.157e-06, eta: 0:32:09, time: 0.230, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2503, decode.acc_seg: 72.9696, aux.loss_ce: 0.1243, aux.acc_seg: 71.3549, loss: 0.3746 +2022-06-19 01:55:45,125 - mmseg - INFO - Iter [151850/160000] lr: 3.138e-06, eta: 0:31:57, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2488, decode.acc_seg: 71.6146, aux.loss_ce: 0.1233, aux.acc_seg: 70.0804, loss: 0.3721 +2022-06-19 01:55:56,503 - mmseg - INFO - Iter [151900/160000] lr: 3.119e-06, eta: 0:31:45, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2434, decode.acc_seg: 72.4697, aux.loss_ce: 0.1212, aux.acc_seg: 70.9528, loss: 0.3646 +2022-06-19 01:56:07,793 - mmseg - INFO - Iter [151950/160000] lr: 3.100e-06, eta: 0:31:33, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2600, decode.acc_seg: 72.1818, aux.loss_ce: 0.1288, aux.acc_seg: 70.6479, loss: 0.3888 +2022-06-19 01:56:19,128 - mmseg - INFO - Saving checkpoint at 152000 iterations +2022-06-19 01:56:20,085 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 01:56:20,085 - mmseg - INFO - Iter [152000/160000] lr: 3.080e-06, eta: 0:31:22, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2642, decode.acc_seg: 73.4748, aux.loss_ce: 0.1300, aux.acc_seg: 71.8044, loss: 0.3941 +2022-06-19 01:56:31,786 - mmseg - INFO - Iter [152050/160000] lr: 3.061e-06, eta: 0:31:10, time: 0.234, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2385, decode.acc_seg: 71.2828, aux.loss_ce: 0.1181, aux.acc_seg: 69.8421, loss: 0.3566 +2022-06-19 01:56:43,016 - mmseg - INFO - Iter [152100/160000] lr: 3.042e-06, eta: 0:30:58, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2382, decode.acc_seg: 72.4892, aux.loss_ce: 0.1191, aux.acc_seg: 70.7972, loss: 0.3573 +2022-06-19 01:56:54,451 - mmseg - INFO - Iter [152150/160000] lr: 3.023e-06, eta: 0:30:46, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2584, decode.acc_seg: 74.0677, aux.loss_ce: 0.1293, aux.acc_seg: 72.4318, loss: 0.3877 +2022-06-19 01:57:05,774 - mmseg - INFO - Iter [152200/160000] lr: 3.003e-06, eta: 0:30:35, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2497, decode.acc_seg: 72.6656, aux.loss_ce: 0.1234, aux.acc_seg: 71.1125, loss: 0.3731 +2022-06-19 01:57:16,943 - mmseg - INFO - Iter [152250/160000] lr: 2.984e-06, eta: 0:30:23, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2477, decode.acc_seg: 72.3689, aux.loss_ce: 0.1237, aux.acc_seg: 70.7037, loss: 0.3713 +2022-06-19 01:57:30,763 - mmseg - INFO - Iter [152300/160000] lr: 2.965e-06, eta: 0:30:11, time: 0.276, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2481, decode.acc_seg: 74.1306, aux.loss_ce: 0.1220, aux.acc_seg: 72.7315, loss: 0.3701 +2022-06-19 01:57:42,151 - mmseg - INFO - Iter [152350/160000] lr: 2.946e-06, eta: 0:29:59, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2633, decode.acc_seg: 72.0226, aux.loss_ce: 0.1283, aux.acc_seg: 70.5082, loss: 0.3915 +2022-06-19 01:57:53,260 - mmseg - INFO - Iter [152400/160000] lr: 2.926e-06, eta: 0:29:48, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2496, decode.acc_seg: 74.2325, aux.loss_ce: 0.1245, aux.acc_seg: 72.6097, loss: 0.3741 +2022-06-19 01:58:04,900 - mmseg - INFO - Iter [152450/160000] lr: 2.907e-06, eta: 0:29:36, time: 0.232, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2410, decode.acc_seg: 71.5295, aux.loss_ce: 0.1220, aux.acc_seg: 69.9386, loss: 0.3630 +2022-06-19 01:58:16,010 - mmseg - INFO - Iter [152500/160000] lr: 2.888e-06, eta: 0:29:24, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2555, decode.acc_seg: 72.1336, aux.loss_ce: 0.1266, aux.acc_seg: 70.6312, loss: 0.3821 +2022-06-19 01:58:27,459 - mmseg - INFO - Iter [152550/160000] lr: 2.869e-06, eta: 0:29:12, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2495, decode.acc_seg: 71.5411, aux.loss_ce: 0.1261, aux.acc_seg: 69.8043, loss: 0.3756 +2022-06-19 01:58:38,716 - mmseg - INFO - Iter [152600/160000] lr: 2.849e-06, eta: 0:29:00, time: 0.225, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2382, decode.acc_seg: 72.9084, aux.loss_ce: 0.1187, aux.acc_seg: 71.3336, loss: 0.3569 +2022-06-19 01:58:50,084 - mmseg - INFO - Iter [152650/160000] lr: 2.830e-06, eta: 0:28:49, time: 0.227, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2664, decode.acc_seg: 72.4968, aux.loss_ce: 0.1324, aux.acc_seg: 70.8849, loss: 0.3987 +2022-06-19 01:59:01,284 - mmseg - INFO - Iter [152700/160000] lr: 2.811e-06, eta: 0:28:37, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2590, decode.acc_seg: 71.7689, aux.loss_ce: 0.1305, aux.acc_seg: 70.0240, loss: 0.3895 +2022-06-19 01:59:12,542 - mmseg - INFO - Iter [152750/160000] lr: 2.792e-06, eta: 0:28:25, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2471, decode.acc_seg: 73.3614, aux.loss_ce: 0.1245, aux.acc_seg: 71.5476, loss: 0.3716 +2022-06-19 01:59:23,786 - mmseg - INFO - Iter [152800/160000] lr: 2.772e-06, eta: 0:28:13, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2591, decode.acc_seg: 72.3652, aux.loss_ce: 0.1306, aux.acc_seg: 70.7050, loss: 0.3897 +2022-06-19 01:59:34,774 - mmseg - INFO - Iter [152850/160000] lr: 2.753e-06, eta: 0:28:01, time: 0.220, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2440, decode.acc_seg: 71.8948, aux.loss_ce: 0.1202, aux.acc_seg: 70.3857, loss: 0.3642 +2022-06-19 01:59:46,158 - mmseg - INFO - Iter [152900/160000] lr: 2.734e-06, eta: 0:27:49, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2477, decode.acc_seg: 73.0762, aux.loss_ce: 0.1221, aux.acc_seg: 71.5796, loss: 0.3698 +2022-06-19 01:59:57,665 - mmseg - INFO - Iter [152950/160000] lr: 2.715e-06, eta: 0:27:38, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2470, decode.acc_seg: 72.9000, aux.loss_ce: 0.1223, aux.acc_seg: 71.2975, loss: 0.3693 +2022-06-19 02:00:11,013 - mmseg - INFO - Saving checkpoint at 153000 iterations +2022-06-19 02:00:11,992 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 02:00:11,993 - mmseg - INFO - Iter [153000/160000] lr: 2.695e-06, eta: 0:27:26, time: 0.287, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2341, decode.acc_seg: 72.9857, aux.loss_ce: 0.1175, aux.acc_seg: 71.3590, loss: 0.3516 +2022-06-19 02:00:23,342 - mmseg - INFO - Iter [153050/160000] lr: 2.676e-06, eta: 0:27:14, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2578, decode.acc_seg: 72.8171, aux.loss_ce: 0.1267, aux.acc_seg: 71.3822, loss: 0.3844 +2022-06-19 02:00:34,742 - mmseg - INFO - Iter [153100/160000] lr: 2.657e-06, eta: 0:27:03, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2544, decode.acc_seg: 72.0839, aux.loss_ce: 0.1272, aux.acc_seg: 70.4092, loss: 0.3816 +2022-06-19 02:00:45,852 - mmseg - INFO - Iter [153150/160000] lr: 2.638e-06, eta: 0:26:51, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2374, decode.acc_seg: 71.2791, aux.loss_ce: 0.1196, aux.acc_seg: 69.7648, loss: 0.3570 +2022-06-19 02:00:57,347 - mmseg - INFO - Iter [153200/160000] lr: 2.618e-06, eta: 0:26:39, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2525, decode.acc_seg: 74.0630, aux.loss_ce: 0.1247, aux.acc_seg: 72.4761, loss: 0.3773 +2022-06-19 02:01:08,562 - mmseg - INFO - Iter [153250/160000] lr: 2.599e-06, eta: 0:26:27, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2445, decode.acc_seg: 72.9499, aux.loss_ce: 0.1224, aux.acc_seg: 71.2837, loss: 0.3669 +2022-06-19 02:01:19,973 - mmseg - INFO - Iter [153300/160000] lr: 2.580e-06, eta: 0:26:15, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2534, decode.acc_seg: 72.1263, aux.loss_ce: 0.1250, aux.acc_seg: 70.5562, loss: 0.3784 +2022-06-19 02:01:31,404 - mmseg - INFO - Iter [153350/160000] lr: 2.561e-06, eta: 0:26:04, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2529, decode.acc_seg: 73.1428, aux.loss_ce: 0.1249, aux.acc_seg: 71.6339, loss: 0.3778 +2022-06-19 02:01:42,813 - mmseg - INFO - Iter [153400/160000] lr: 2.541e-06, eta: 0:25:52, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2465, decode.acc_seg: 71.1127, aux.loss_ce: 0.1216, aux.acc_seg: 69.3345, loss: 0.3681 +2022-06-19 02:01:54,072 - mmseg - INFO - Iter [153450/160000] lr: 2.522e-06, eta: 0:25:40, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2499, decode.acc_seg: 72.2413, aux.loss_ce: 0.1249, aux.acc_seg: 70.4924, loss: 0.3748 +2022-06-19 02:02:05,418 - mmseg - INFO - Iter [153500/160000] lr: 2.503e-06, eta: 0:25:28, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2478, decode.acc_seg: 73.2344, aux.loss_ce: 0.1227, aux.acc_seg: 71.6894, loss: 0.3705 +2022-06-19 02:02:18,749 - mmseg - INFO - Iter [153550/160000] lr: 2.484e-06, eta: 0:25:17, time: 0.267, data_time: 0.050, memory: 36327, decode.loss_ce: 0.2486, decode.acc_seg: 73.5647, aux.loss_ce: 0.1240, aux.acc_seg: 72.0464, loss: 0.3726 +2022-06-19 02:02:30,113 - mmseg - INFO - Iter [153600/160000] lr: 2.464e-06, eta: 0:25:05, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2406, decode.acc_seg: 73.1198, aux.loss_ce: 0.1195, aux.acc_seg: 71.5507, loss: 0.3601 +2022-06-19 02:02:41,163 - mmseg - INFO - Iter [153650/160000] lr: 2.445e-06, eta: 0:24:53, time: 0.221, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2571, decode.acc_seg: 73.1025, aux.loss_ce: 0.1301, aux.acc_seg: 71.3301, loss: 0.3871 +2022-06-19 02:02:52,299 - mmseg - INFO - Iter [153700/160000] lr: 2.426e-06, eta: 0:24:41, time: 0.223, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2471, decode.acc_seg: 73.5961, aux.loss_ce: 0.1226, aux.acc_seg: 72.0787, loss: 0.3697 +2022-06-19 02:03:03,743 - mmseg - INFO - Iter [153750/160000] lr: 2.407e-06, eta: 0:24:29, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2498, decode.acc_seg: 71.8023, aux.loss_ce: 0.1252, aux.acc_seg: 70.0396, loss: 0.3751 +2022-06-19 02:03:15,193 - mmseg - INFO - Iter [153800/160000] lr: 2.387e-06, eta: 0:24:18, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2636, decode.acc_seg: 73.2029, aux.loss_ce: 0.1302, aux.acc_seg: 71.7990, loss: 0.3938 +2022-06-19 02:03:26,561 - mmseg - INFO - Iter [153850/160000] lr: 2.368e-06, eta: 0:24:06, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2567, decode.acc_seg: 72.0914, aux.loss_ce: 0.1289, aux.acc_seg: 70.2189, loss: 0.3857 +2022-06-19 02:03:37,986 - mmseg - INFO - Iter [153900/160000] lr: 2.349e-06, eta: 0:23:54, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2514, decode.acc_seg: 73.1253, aux.loss_ce: 0.1246, aux.acc_seg: 71.6190, loss: 0.3760 +2022-06-19 02:03:49,221 - mmseg - INFO - Iter [153950/160000] lr: 2.330e-06, eta: 0:23:42, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2345, decode.acc_seg: 72.2297, aux.loss_ce: 0.1189, aux.acc_seg: 70.5233, loss: 0.3534 +2022-06-19 02:04:00,619 - mmseg - INFO - Saving checkpoint at 154000 iterations +2022-06-19 02:04:01,572 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 02:04:01,572 - mmseg - INFO - Iter [154000/160000] lr: 2.310e-06, eta: 0:23:30, time: 0.247, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2587, decode.acc_seg: 71.8511, aux.loss_ce: 0.1268, aux.acc_seg: 70.3971, loss: 0.3855 +2022-06-19 02:04:12,716 - mmseg - INFO - Iter [154050/160000] lr: 2.291e-06, eta: 0:23:19, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2553, decode.acc_seg: 73.3929, aux.loss_ce: 0.1277, aux.acc_seg: 71.9391, loss: 0.3829 +2022-06-19 02:04:24,198 - mmseg - INFO - Iter [154100/160000] lr: 2.272e-06, eta: 0:23:07, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2576, decode.acc_seg: 73.2066, aux.loss_ce: 0.1279, aux.acc_seg: 71.6130, loss: 0.3855 +2022-06-19 02:04:36,078 - mmseg - INFO - Iter [154150/160000] lr: 2.253e-06, eta: 0:22:55, time: 0.238, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2597, decode.acc_seg: 71.7773, aux.loss_ce: 0.1293, aux.acc_seg: 70.0872, loss: 0.3890 +2022-06-19 02:04:47,567 - mmseg - INFO - Iter [154200/160000] lr: 2.233e-06, eta: 0:22:43, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2512, decode.acc_seg: 72.5334, aux.loss_ce: 0.1246, aux.acc_seg: 71.0116, loss: 0.3758 +2022-06-19 02:04:59,083 - mmseg - INFO - Iter [154250/160000] lr: 2.214e-06, eta: 0:22:32, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2488, decode.acc_seg: 71.5744, aux.loss_ce: 0.1248, aux.acc_seg: 69.8959, loss: 0.3736 +2022-06-19 02:05:10,155 - mmseg - INFO - Iter [154300/160000] lr: 2.195e-06, eta: 0:22:20, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2577, decode.acc_seg: 72.5780, aux.loss_ce: 0.1284, aux.acc_seg: 70.9638, loss: 0.3861 +2022-06-19 02:05:21,353 - mmseg - INFO - Iter [154350/160000] lr: 2.176e-06, eta: 0:22:08, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2641, decode.acc_seg: 72.0754, aux.loss_ce: 0.1301, aux.acc_seg: 70.6208, loss: 0.3943 +2022-06-19 02:05:32,606 - mmseg - INFO - Iter [154400/160000] lr: 2.156e-06, eta: 0:21:56, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2507, decode.acc_seg: 72.4775, aux.loss_ce: 0.1245, aux.acc_seg: 70.8497, loss: 0.3753 +2022-06-19 02:05:44,007 - mmseg - INFO - Iter [154450/160000] lr: 2.137e-06, eta: 0:21:44, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2557, decode.acc_seg: 73.8491, aux.loss_ce: 0.1253, aux.acc_seg: 72.4079, loss: 0.3810 +2022-06-19 02:05:55,333 - mmseg - INFO - Iter [154500/160000] lr: 2.118e-06, eta: 0:21:33, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2559, decode.acc_seg: 73.9983, aux.loss_ce: 0.1268, aux.acc_seg: 72.3485, loss: 0.3826 +2022-06-19 02:06:06,824 - mmseg - INFO - Iter [154550/160000] lr: 2.099e-06, eta: 0:21:21, time: 0.230, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2553, decode.acc_seg: 73.2086, aux.loss_ce: 0.1277, aux.acc_seg: 71.5205, loss: 0.3829 +2022-06-19 02:06:18,251 - mmseg - INFO - Iter [154600/160000] lr: 2.079e-06, eta: 0:21:09, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2567, decode.acc_seg: 73.7201, aux.loss_ce: 0.1257, aux.acc_seg: 72.1716, loss: 0.3824 +2022-06-19 02:06:29,666 - mmseg - INFO - Iter [154650/160000] lr: 2.060e-06, eta: 0:20:57, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2425, decode.acc_seg: 73.9043, aux.loss_ce: 0.1209, aux.acc_seg: 72.5109, loss: 0.3633 +2022-06-19 02:06:41,155 - mmseg - INFO - Iter [154700/160000] lr: 2.041e-06, eta: 0:20:45, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2363, decode.acc_seg: 72.1425, aux.loss_ce: 0.1198, aux.acc_seg: 70.4380, loss: 0.3561 +2022-06-19 02:06:52,518 - mmseg - INFO - Iter [154750/160000] lr: 2.022e-06, eta: 0:20:34, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2481, decode.acc_seg: 72.2400, aux.loss_ce: 0.1220, aux.acc_seg: 70.7945, loss: 0.3701 +2022-06-19 02:07:05,718 - mmseg - INFO - Iter [154800/160000] lr: 2.002e-06, eta: 0:20:22, time: 0.264, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2465, decode.acc_seg: 72.6283, aux.loss_ce: 0.1231, aux.acc_seg: 71.2018, loss: 0.3696 +2022-06-19 02:07:17,101 - mmseg - INFO - Iter [154850/160000] lr: 1.983e-06, eta: 0:20:10, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2462, decode.acc_seg: 73.9712, aux.loss_ce: 0.1224, aux.acc_seg: 72.3498, loss: 0.3686 +2022-06-19 02:07:28,431 - mmseg - INFO - Iter [154900/160000] lr: 1.964e-06, eta: 0:19:58, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2310, decode.acc_seg: 73.9174, aux.loss_ce: 0.1150, aux.acc_seg: 72.4426, loss: 0.3460 +2022-06-19 02:07:39,765 - mmseg - INFO - Iter [154950/160000] lr: 1.945e-06, eta: 0:19:47, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2460, decode.acc_seg: 73.7084, aux.loss_ce: 0.1253, aux.acc_seg: 71.9077, loss: 0.3713 +2022-06-19 02:07:51,061 - mmseg - INFO - Saving checkpoint at 155000 iterations +2022-06-19 02:07:52,027 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 02:07:52,027 - mmseg - INFO - Iter [155000/160000] lr: 1.925e-06, eta: 0:19:35, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2579, decode.acc_seg: 71.3929, aux.loss_ce: 0.1283, aux.acc_seg: 69.8011, loss: 0.3862 +2022-06-19 02:08:03,438 - mmseg - INFO - Iter [155050/160000] lr: 1.906e-06, eta: 0:19:23, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2488, decode.acc_seg: 71.6468, aux.loss_ce: 0.1250, aux.acc_seg: 69.9474, loss: 0.3739 +2022-06-19 02:08:14,758 - mmseg - INFO - Iter [155100/160000] lr: 1.887e-06, eta: 0:19:11, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2519, decode.acc_seg: 72.0245, aux.loss_ce: 0.1263, aux.acc_seg: 70.4283, loss: 0.3782 +2022-06-19 02:08:26,073 - mmseg - INFO - Iter [155150/160000] lr: 1.868e-06, eta: 0:19:00, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2569, decode.acc_seg: 72.7589, aux.loss_ce: 0.1281, aux.acc_seg: 71.0239, loss: 0.3850 +2022-06-19 02:08:37,444 - mmseg - INFO - Iter [155200/160000] lr: 1.848e-06, eta: 0:18:48, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2461, decode.acc_seg: 73.4720, aux.loss_ce: 0.1224, aux.acc_seg: 71.9528, loss: 0.3684 +2022-06-19 02:08:48,511 - mmseg - INFO - Iter [155250/160000] lr: 1.829e-06, eta: 0:18:36, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2410, decode.acc_seg: 73.0215, aux.loss_ce: 0.1185, aux.acc_seg: 71.5956, loss: 0.3596 +2022-06-19 02:08:59,781 - mmseg - INFO - Iter [155300/160000] lr: 1.810e-06, eta: 0:18:24, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2454, decode.acc_seg: 73.6035, aux.loss_ce: 0.1231, aux.acc_seg: 71.9346, loss: 0.3685 +2022-06-19 02:09:11,588 - mmseg - INFO - Iter [155350/160000] lr: 1.791e-06, eta: 0:18:13, time: 0.236, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2563, decode.acc_seg: 75.0085, aux.loss_ce: 0.1291, aux.acc_seg: 73.1289, loss: 0.3854 +2022-06-19 02:09:22,814 - mmseg - INFO - Iter [155400/160000] lr: 1.771e-06, eta: 0:18:01, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2369, decode.acc_seg: 72.0861, aux.loss_ce: 0.1186, aux.acc_seg: 70.4716, loss: 0.3556 +2022-06-19 02:09:34,220 - mmseg - INFO - Iter [155450/160000] lr: 1.752e-06, eta: 0:17:49, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2542, decode.acc_seg: 72.4016, aux.loss_ce: 0.1267, aux.acc_seg: 70.6892, loss: 0.3809 +2022-06-19 02:09:45,442 - mmseg - INFO - Iter [155500/160000] lr: 1.733e-06, eta: 0:17:37, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2505, decode.acc_seg: 71.7610, aux.loss_ce: 0.1254, aux.acc_seg: 70.1355, loss: 0.3760 +2022-06-19 02:09:56,841 - mmseg - INFO - Iter [155550/160000] lr: 1.714e-06, eta: 0:17:25, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2542, decode.acc_seg: 71.9245, aux.loss_ce: 0.1274, aux.acc_seg: 70.2321, loss: 0.3817 +2022-06-19 02:10:08,188 - mmseg - INFO - Iter [155600/160000] lr: 1.694e-06, eta: 0:17:14, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2543, decode.acc_seg: 72.8322, aux.loss_ce: 0.1258, aux.acc_seg: 71.2626, loss: 0.3801 +2022-06-19 02:10:19,355 - mmseg - INFO - Iter [155650/160000] lr: 1.675e-06, eta: 0:17:02, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2364, decode.acc_seg: 72.0118, aux.loss_ce: 0.1186, aux.acc_seg: 70.4111, loss: 0.3550 +2022-06-19 02:10:30,554 - mmseg - INFO - Iter [155700/160000] lr: 1.656e-06, eta: 0:16:50, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2690, decode.acc_seg: 72.9430, aux.loss_ce: 0.1339, aux.acc_seg: 71.2206, loss: 0.4029 +2022-06-19 02:10:41,787 - mmseg - INFO - Iter [155750/160000] lr: 1.637e-06, eta: 0:16:38, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2466, decode.acc_seg: 73.9437, aux.loss_ce: 0.1215, aux.acc_seg: 72.3105, loss: 0.3680 +2022-06-19 02:10:53,301 - mmseg - INFO - Iter [155800/160000] lr: 1.617e-06, eta: 0:16:27, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2572, decode.acc_seg: 72.6373, aux.loss_ce: 0.1286, aux.acc_seg: 70.8120, loss: 0.3858 +2022-06-19 02:11:04,764 - mmseg - INFO - Iter [155850/160000] lr: 1.598e-06, eta: 0:16:15, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2518, decode.acc_seg: 72.3730, aux.loss_ce: 0.1245, aux.acc_seg: 70.9418, loss: 0.3763 +2022-06-19 02:11:16,089 - mmseg - INFO - Iter [155900/160000] lr: 1.579e-06, eta: 0:16:03, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2635, decode.acc_seg: 73.4269, aux.loss_ce: 0.1320, aux.acc_seg: 71.6317, loss: 0.3955 +2022-06-19 02:11:27,433 - mmseg - INFO - Iter [155950/160000] lr: 1.560e-06, eta: 0:15:51, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2616, decode.acc_seg: 73.0224, aux.loss_ce: 0.1270, aux.acc_seg: 71.6010, loss: 0.3886 +2022-06-19 02:11:38,788 - mmseg - INFO - Saving checkpoint at 156000 iterations +2022-06-19 02:11:39,731 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 02:11:39,732 - mmseg - INFO - Iter [156000/160000] lr: 1.540e-06, eta: 0:15:40, time: 0.246, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2501, decode.acc_seg: 72.6969, aux.loss_ce: 0.1267, aux.acc_seg: 70.7819, loss: 0.3767 +2022-06-19 02:11:53,066 - mmseg - INFO - Iter [156050/160000] lr: 1.521e-06, eta: 0:15:28, time: 0.266, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2401, decode.acc_seg: 73.7763, aux.loss_ce: 0.1213, aux.acc_seg: 72.1440, loss: 0.3614 +2022-06-19 02:12:04,169 - mmseg - INFO - Iter [156100/160000] lr: 1.502e-06, eta: 0:15:16, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2519, decode.acc_seg: 73.5246, aux.loss_ce: 0.1252, aux.acc_seg: 71.9393, loss: 0.3771 +2022-06-19 02:12:15,664 - mmseg - INFO - Iter [156150/160000] lr: 1.483e-06, eta: 0:15:04, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2629, decode.acc_seg: 72.9430, aux.loss_ce: 0.1282, aux.acc_seg: 71.3887, loss: 0.3911 +2022-06-19 02:12:26,707 - mmseg - INFO - Iter [156200/160000] lr: 1.463e-06, eta: 0:14:53, time: 0.221, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2497, decode.acc_seg: 72.8556, aux.loss_ce: 0.1246, aux.acc_seg: 71.2701, loss: 0.3744 +2022-06-19 02:12:38,129 - mmseg - INFO - Iter [156250/160000] lr: 1.444e-06, eta: 0:14:41, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2383, decode.acc_seg: 70.5995, aux.loss_ce: 0.1178, aux.acc_seg: 69.2109, loss: 0.3561 +2022-06-19 02:12:49,247 - mmseg - INFO - Iter [156300/160000] lr: 1.425e-06, eta: 0:14:29, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2405, decode.acc_seg: 71.2713, aux.loss_ce: 0.1209, aux.acc_seg: 69.6959, loss: 0.3615 +2022-06-19 02:13:00,626 - mmseg - INFO - Iter [156350/160000] lr: 1.406e-06, eta: 0:14:17, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2356, decode.acc_seg: 74.1634, aux.loss_ce: 0.1173, aux.acc_seg: 72.6201, loss: 0.3529 +2022-06-19 02:13:12,029 - mmseg - INFO - Iter [156400/160000] lr: 1.386e-06, eta: 0:14:05, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2490, decode.acc_seg: 72.8517, aux.loss_ce: 0.1246, aux.acc_seg: 71.3390, loss: 0.3736 +2022-06-19 02:13:23,373 - mmseg - INFO - Iter [156450/160000] lr: 1.367e-06, eta: 0:13:54, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2581, decode.acc_seg: 72.6773, aux.loss_ce: 0.1291, aux.acc_seg: 71.0185, loss: 0.3872 +2022-06-19 02:13:34,752 - mmseg - INFO - Iter [156500/160000] lr: 1.348e-06, eta: 0:13:42, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2425, decode.acc_seg: 73.1987, aux.loss_ce: 0.1205, aux.acc_seg: 71.5678, loss: 0.3629 +2022-06-19 02:13:45,913 - mmseg - INFO - Iter [156550/160000] lr: 1.329e-06, eta: 0:13:30, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2537, decode.acc_seg: 74.4700, aux.loss_ce: 0.1264, aux.acc_seg: 72.8550, loss: 0.3801 +2022-06-19 02:13:57,340 - mmseg - INFO - Iter [156600/160000] lr: 1.309e-06, eta: 0:13:18, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2536, decode.acc_seg: 72.7464, aux.loss_ce: 0.1258, aux.acc_seg: 71.0771, loss: 0.3794 +2022-06-19 02:14:08,580 - mmseg - INFO - Iter [156650/160000] lr: 1.290e-06, eta: 0:13:07, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2433, decode.acc_seg: 73.3679, aux.loss_ce: 0.1202, aux.acc_seg: 71.8829, loss: 0.3636 +2022-06-19 02:14:19,706 - mmseg - INFO - Iter [156700/160000] lr: 1.271e-06, eta: 0:12:55, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2614, decode.acc_seg: 72.4442, aux.loss_ce: 0.1284, aux.acc_seg: 70.8485, loss: 0.3898 +2022-06-19 02:14:30,853 - mmseg - INFO - Iter [156750/160000] lr: 1.252e-06, eta: 0:12:43, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2549, decode.acc_seg: 72.5604, aux.loss_ce: 0.1259, aux.acc_seg: 71.1152, loss: 0.3808 +2022-06-19 02:14:42,251 - mmseg - INFO - Iter [156800/160000] lr: 1.232e-06, eta: 0:12:31, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2395, decode.acc_seg: 72.9050, aux.loss_ce: 0.1194, aux.acc_seg: 71.2751, loss: 0.3589 +2022-06-19 02:14:53,579 - mmseg - INFO - Iter [156850/160000] lr: 1.213e-06, eta: 0:12:20, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2450, decode.acc_seg: 73.3676, aux.loss_ce: 0.1225, aux.acc_seg: 71.7457, loss: 0.3675 +2022-06-19 02:15:05,193 - mmseg - INFO - Iter [156900/160000] lr: 1.194e-06, eta: 0:12:08, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2471, decode.acc_seg: 72.6408, aux.loss_ce: 0.1242, aux.acc_seg: 71.0566, loss: 0.3713 +2022-06-19 02:15:16,362 - mmseg - INFO - Iter [156950/160000] lr: 1.175e-06, eta: 0:11:56, time: 0.224, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2454, decode.acc_seg: 73.1524, aux.loss_ce: 0.1253, aux.acc_seg: 71.4682, loss: 0.3706 +2022-06-19 02:15:27,658 - mmseg - INFO - Saving checkpoint at 157000 iterations +2022-06-19 02:15:28,613 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 02:15:28,613 - mmseg - INFO - Iter [157000/160000] lr: 1.155e-06, eta: 0:11:44, time: 0.245, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2413, decode.acc_seg: 73.0063, aux.loss_ce: 0.1184, aux.acc_seg: 71.5921, loss: 0.3597 +2022-06-19 02:15:39,857 - mmseg - INFO - Iter [157050/160000] lr: 1.136e-06, eta: 0:11:32, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2577, decode.acc_seg: 71.4021, aux.loss_ce: 0.1286, aux.acc_seg: 69.8312, loss: 0.3863 +2022-06-19 02:15:51,143 - mmseg - INFO - Iter [157100/160000] lr: 1.117e-06, eta: 0:11:21, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2354, decode.acc_seg: 72.9523, aux.loss_ce: 0.1168, aux.acc_seg: 71.3915, loss: 0.3522 +2022-06-19 02:16:02,589 - mmseg - INFO - Iter [157150/160000] lr: 1.098e-06, eta: 0:11:09, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2657, decode.acc_seg: 73.0973, aux.loss_ce: 0.1331, aux.acc_seg: 71.4912, loss: 0.3988 +2022-06-19 02:16:13,913 - mmseg - INFO - Iter [157200/160000] lr: 1.078e-06, eta: 0:10:57, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2473, decode.acc_seg: 72.9721, aux.loss_ce: 0.1220, aux.acc_seg: 71.4633, loss: 0.3692 +2022-06-19 02:16:25,094 - mmseg - INFO - Iter [157250/160000] lr: 1.059e-06, eta: 0:10:45, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2550, decode.acc_seg: 72.0952, aux.loss_ce: 0.1278, aux.acc_seg: 70.3578, loss: 0.3828 +2022-06-19 02:16:36,388 - mmseg - INFO - Iter [157300/160000] lr: 1.040e-06, eta: 0:10:34, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2548, decode.acc_seg: 73.2573, aux.loss_ce: 0.1263, aux.acc_seg: 71.6032, loss: 0.3811 +2022-06-19 02:16:49,980 - mmseg - INFO - Iter [157350/160000] lr: 1.021e-06, eta: 0:10:22, time: 0.272, data_time: 0.048, memory: 36327, decode.loss_ce: 0.2392, decode.acc_seg: 72.0103, aux.loss_ce: 0.1211, aux.acc_seg: 70.1807, loss: 0.3603 +2022-06-19 02:17:01,212 - mmseg - INFO - Iter [157400/160000] lr: 1.001e-06, eta: 0:10:10, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2351, decode.acc_seg: 73.0289, aux.loss_ce: 0.1192, aux.acc_seg: 71.3547, loss: 0.3544 +2022-06-19 02:17:12,582 - mmseg - INFO - Iter [157450/160000] lr: 9.822e-07, eta: 0:09:58, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2544, decode.acc_seg: 73.3149, aux.loss_ce: 0.1289, aux.acc_seg: 71.5384, loss: 0.3834 +2022-06-19 02:17:23,829 - mmseg - INFO - Iter [157500/160000] lr: 9.629e-07, eta: 0:09:47, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2443, decode.acc_seg: 73.1411, aux.loss_ce: 0.1226, aux.acc_seg: 71.4767, loss: 0.3669 +2022-06-19 02:17:35,239 - mmseg - INFO - Iter [157550/160000] lr: 9.437e-07, eta: 0:09:35, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2441, decode.acc_seg: 72.1316, aux.loss_ce: 0.1214, aux.acc_seg: 70.6236, loss: 0.3655 +2022-06-19 02:17:46,608 - mmseg - INFO - Iter [157600/160000] lr: 9.244e-07, eta: 0:09:23, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2424, decode.acc_seg: 72.7809, aux.loss_ce: 0.1238, aux.acc_seg: 70.8260, loss: 0.3662 +2022-06-19 02:17:57,971 - mmseg - INFO - Iter [157650/160000] lr: 9.052e-07, eta: 0:09:11, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2598, decode.acc_seg: 71.9278, aux.loss_ce: 0.1283, aux.acc_seg: 70.3492, loss: 0.3882 +2022-06-19 02:18:09,324 - mmseg - INFO - Iter [157700/160000] lr: 8.859e-07, eta: 0:09:00, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2523, decode.acc_seg: 72.3457, aux.loss_ce: 0.1273, aux.acc_seg: 70.5535, loss: 0.3796 +2022-06-19 02:18:20,876 - mmseg - INFO - Iter [157750/160000] lr: 8.666e-07, eta: 0:08:48, time: 0.231, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2447, decode.acc_seg: 73.3467, aux.loss_ce: 0.1231, aux.acc_seg: 71.6202, loss: 0.3678 +2022-06-19 02:18:32,332 - mmseg - INFO - Iter [157800/160000] lr: 8.474e-07, eta: 0:08:36, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2402, decode.acc_seg: 73.6927, aux.loss_ce: 0.1211, aux.acc_seg: 71.9757, loss: 0.3613 +2022-06-19 02:18:43,551 - mmseg - INFO - Iter [157850/160000] lr: 8.281e-07, eta: 0:08:24, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2536, decode.acc_seg: 72.2465, aux.loss_ce: 0.1259, aux.acc_seg: 70.6719, loss: 0.3795 +2022-06-19 02:18:54,994 - mmseg - INFO - Iter [157900/160000] lr: 8.089e-07, eta: 0:08:13, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2446, decode.acc_seg: 73.6436, aux.loss_ce: 0.1244, aux.acc_seg: 71.8502, loss: 0.3690 +2022-06-19 02:19:06,155 - mmseg - INFO - Iter [157950/160000] lr: 7.896e-07, eta: 0:08:01, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2549, decode.acc_seg: 73.2170, aux.loss_ce: 0.1250, aux.acc_seg: 71.7330, loss: 0.3799 +2022-06-19 02:19:17,305 - mmseg - INFO - Saving checkpoint at 158000 iterations +2022-06-19 02:19:18,286 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 02:19:18,287 - mmseg - INFO - Iter [158000/160000] lr: 7.704e-07, eta: 0:07:49, time: 0.243, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2530, decode.acc_seg: 71.6858, aux.loss_ce: 0.1261, aux.acc_seg: 70.0476, loss: 0.3790 +2022-06-19 02:19:29,435 - mmseg - INFO - Iter [158050/160000] lr: 7.511e-07, eta: 0:07:37, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2411, decode.acc_seg: 71.8486, aux.loss_ce: 0.1201, aux.acc_seg: 70.3608, loss: 0.3612 +2022-06-19 02:19:40,762 - mmseg - INFO - Iter [158100/160000] lr: 7.319e-07, eta: 0:07:26, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2632, decode.acc_seg: 71.6898, aux.loss_ce: 0.1309, aux.acc_seg: 69.9944, loss: 0.3941 +2022-06-19 02:19:52,180 - mmseg - INFO - Iter [158150/160000] lr: 7.126e-07, eta: 0:07:14, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2435, decode.acc_seg: 73.2963, aux.loss_ce: 0.1201, aux.acc_seg: 71.7578, loss: 0.3635 +2022-06-19 02:20:03,423 - mmseg - INFO - Iter [158200/160000] lr: 6.934e-07, eta: 0:07:02, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2601, decode.acc_seg: 72.0605, aux.loss_ce: 0.1296, aux.acc_seg: 70.4995, loss: 0.3898 +2022-06-19 02:20:14,762 - mmseg - INFO - Iter [158250/160000] lr: 6.741e-07, eta: 0:06:50, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2543, decode.acc_seg: 72.7179, aux.loss_ce: 0.1261, aux.acc_seg: 71.0464, loss: 0.3804 +2022-06-19 02:20:26,044 - mmseg - INFO - Iter [158300/160000] lr: 6.549e-07, eta: 0:06:39, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2375, decode.acc_seg: 72.2752, aux.loss_ce: 0.1188, aux.acc_seg: 70.8283, loss: 0.3563 +2022-06-19 02:20:37,561 - mmseg - INFO - Iter [158350/160000] lr: 6.356e-07, eta: 0:06:27, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2420, decode.acc_seg: 72.0561, aux.loss_ce: 0.1201, aux.acc_seg: 70.4941, loss: 0.3621 +2022-06-19 02:20:48,718 - mmseg - INFO - Iter [158400/160000] lr: 6.164e-07, eta: 0:06:15, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2349, decode.acc_seg: 73.8928, aux.loss_ce: 0.1172, aux.acc_seg: 72.3665, loss: 0.3521 +2022-06-19 02:21:00,152 - mmseg - INFO - Iter [158450/160000] lr: 5.971e-07, eta: 0:06:03, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2402, decode.acc_seg: 72.2244, aux.loss_ce: 0.1196, aux.acc_seg: 70.6188, loss: 0.3598 +2022-06-19 02:21:11,496 - mmseg - INFO - Iter [158500/160000] lr: 5.779e-07, eta: 0:05:52, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2309, decode.acc_seg: 74.1139, aux.loss_ce: 0.1163, aux.acc_seg: 72.3977, loss: 0.3472 +2022-06-19 02:21:22,622 - mmseg - INFO - Iter [158550/160000] lr: 5.586e-07, eta: 0:05:40, time: 0.222, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2494, decode.acc_seg: 72.3952, aux.loss_ce: 0.1264, aux.acc_seg: 70.7042, loss: 0.3759 +2022-06-19 02:21:36,244 - mmseg - INFO - Iter [158600/160000] lr: 5.394e-07, eta: 0:05:28, time: 0.273, data_time: 0.051, memory: 36327, decode.loss_ce: 0.2531, decode.acc_seg: 72.7917, aux.loss_ce: 0.1266, aux.acc_seg: 70.9917, loss: 0.3797 +2022-06-19 02:21:47,698 - mmseg - INFO - Iter [158650/160000] lr: 5.201e-07, eta: 0:05:16, time: 0.229, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2482, decode.acc_seg: 72.2749, aux.loss_ce: 0.1225, aux.acc_seg: 70.7419, loss: 0.3707 +2022-06-19 02:21:59,073 - mmseg - INFO - Iter [158700/160000] lr: 5.009e-07, eta: 0:05:05, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2575, decode.acc_seg: 72.0421, aux.loss_ce: 0.1283, aux.acc_seg: 70.3846, loss: 0.3858 +2022-06-19 02:22:10,436 - mmseg - INFO - Iter [158750/160000] lr: 4.816e-07, eta: 0:04:53, time: 0.227, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2464, decode.acc_seg: 72.5763, aux.loss_ce: 0.1243, aux.acc_seg: 70.9331, loss: 0.3707 +2022-06-19 02:22:21,835 - mmseg - INFO - Iter [158800/160000] lr: 4.624e-07, eta: 0:04:41, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2439, decode.acc_seg: 72.7689, aux.loss_ce: 0.1212, aux.acc_seg: 71.2488, loss: 0.3652 +2022-06-19 02:22:33,332 - mmseg - INFO - Iter [158850/160000] lr: 4.431e-07, eta: 0:04:30, time: 0.230, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2515, decode.acc_seg: 73.5322, aux.loss_ce: 0.1249, aux.acc_seg: 71.7735, loss: 0.3764 +2022-06-19 02:22:44,557 - mmseg - INFO - Iter [158900/160000] lr: 4.239e-07, eta: 0:04:18, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2644, decode.acc_seg: 73.2002, aux.loss_ce: 0.1292, aux.acc_seg: 71.6205, loss: 0.3936 +2022-06-19 02:22:55,937 - mmseg - INFO - Iter [158950/160000] lr: 4.046e-07, eta: 0:04:06, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2408, decode.acc_seg: 72.4824, aux.loss_ce: 0.1231, aux.acc_seg: 70.7635, loss: 0.3639 +2022-06-19 02:23:07,032 - mmseg - INFO - Saving checkpoint at 159000 iterations +2022-06-19 02:23:07,981 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 02:23:07,981 - mmseg - INFO - Iter [159000/160000] lr: 3.854e-07, eta: 0:03:54, time: 0.241, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2383, decode.acc_seg: 73.2811, aux.loss_ce: 0.1201, aux.acc_seg: 71.6348, loss: 0.3583 +2022-06-19 02:23:19,062 - mmseg - INFO - Iter [159050/160000] lr: 3.661e-07, eta: 0:03:43, time: 0.222, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2571, decode.acc_seg: 72.5770, aux.loss_ce: 0.1294, aux.acc_seg: 70.7197, loss: 0.3865 +2022-06-19 02:23:30,553 - mmseg - INFO - Iter [159100/160000] lr: 3.469e-07, eta: 0:03:31, time: 0.229, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2487, decode.acc_seg: 72.9982, aux.loss_ce: 0.1227, aux.acc_seg: 71.3863, loss: 0.3715 +2022-06-19 02:23:41,925 - mmseg - INFO - Iter [159150/160000] lr: 3.276e-07, eta: 0:03:19, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2536, decode.acc_seg: 71.4260, aux.loss_ce: 0.1247, aux.acc_seg: 69.8851, loss: 0.3783 +2022-06-19 02:23:53,086 - mmseg - INFO - Iter [159200/160000] lr: 3.084e-07, eta: 0:03:07, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2505, decode.acc_seg: 72.0958, aux.loss_ce: 0.1243, aux.acc_seg: 70.5880, loss: 0.3748 +2022-06-19 02:24:04,450 - mmseg - INFO - Iter [159250/160000] lr: 2.891e-07, eta: 0:02:56, time: 0.227, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2470, decode.acc_seg: 71.4304, aux.loss_ce: 0.1221, aux.acc_seg: 69.7597, loss: 0.3691 +2022-06-19 02:24:15,657 - mmseg - INFO - Iter [159300/160000] lr: 2.699e-07, eta: 0:02:44, time: 0.224, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2406, decode.acc_seg: 73.0340, aux.loss_ce: 0.1215, aux.acc_seg: 71.3351, loss: 0.3620 +2022-06-19 02:24:26,955 - mmseg - INFO - Iter [159350/160000] lr: 2.506e-07, eta: 0:02:32, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2428, decode.acc_seg: 72.9177, aux.loss_ce: 0.1213, aux.acc_seg: 71.3386, loss: 0.3641 +2022-06-19 02:24:38,120 - mmseg - INFO - Iter [159400/160000] lr: 2.314e-07, eta: 0:02:20, time: 0.223, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2530, decode.acc_seg: 72.9581, aux.loss_ce: 0.1253, aux.acc_seg: 71.3978, loss: 0.3783 +2022-06-19 02:24:49,322 - mmseg - INFO - Iter [159450/160000] lr: 2.121e-07, eta: 0:02:09, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2331, decode.acc_seg: 72.5841, aux.loss_ce: 0.1156, aux.acc_seg: 71.0524, loss: 0.3487 +2022-06-19 02:25:00,724 - mmseg - INFO - Iter [159500/160000] lr: 1.929e-07, eta: 0:01:57, time: 0.228, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2333, decode.acc_seg: 71.6959, aux.loss_ce: 0.1151, aux.acc_seg: 70.3913, loss: 0.3484 +2022-06-19 02:25:11,928 - mmseg - INFO - Iter [159550/160000] lr: 1.736e-07, eta: 0:01:45, time: 0.224, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2477, decode.acc_seg: 73.6696, aux.loss_ce: 0.1258, aux.acc_seg: 71.9225, loss: 0.3735 +2022-06-19 02:25:23,479 - mmseg - INFO - Iter [159600/160000] lr: 1.544e-07, eta: 0:01:33, time: 0.231, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2401, decode.acc_seg: 71.4223, aux.loss_ce: 0.1198, aux.acc_seg: 69.8439, loss: 0.3599 +2022-06-19 02:25:34,895 - mmseg - INFO - Iter [159650/160000] lr: 1.351e-07, eta: 0:01:22, time: 0.228, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2399, decode.acc_seg: 72.5506, aux.loss_ce: 0.1198, aux.acc_seg: 70.9147, loss: 0.3597 +2022-06-19 02:25:46,147 - mmseg - INFO - Iter [159700/160000] lr: 1.159e-07, eta: 0:01:10, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2461, decode.acc_seg: 72.4745, aux.loss_ce: 0.1260, aux.acc_seg: 70.3919, loss: 0.3722 +2022-06-19 02:25:57,518 - mmseg - INFO - Iter [159750/160000] lr: 9.664e-08, eta: 0:00:58, time: 0.228, data_time: 0.005, memory: 36327, decode.loss_ce: 0.2278, decode.acc_seg: 71.6247, aux.loss_ce: 0.1150, aux.acc_seg: 70.0069, loss: 0.3428 +2022-06-19 02:26:08,785 - mmseg - INFO - Iter [159800/160000] lr: 7.739e-08, eta: 0:00:46, time: 0.226, data_time: 0.003, memory: 36327, decode.loss_ce: 0.2383, decode.acc_seg: 73.0585, aux.loss_ce: 0.1208, aux.acc_seg: 71.3290, loss: 0.3591 +2022-06-19 02:26:22,253 - mmseg - INFO - Iter [159850/160000] lr: 5.814e-08, eta: 0:00:35, time: 0.269, data_time: 0.049, memory: 36327, decode.loss_ce: 0.2286, decode.acc_seg: 72.3269, aux.loss_ce: 0.1136, aux.acc_seg: 70.8212, loss: 0.3423 +2022-06-19 02:26:33,492 - mmseg - INFO - Iter [159900/160000] lr: 3.889e-08, eta: 0:00:23, time: 0.225, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2463, decode.acc_seg: 73.0680, aux.loss_ce: 0.1227, aux.acc_seg: 71.4335, loss: 0.3691 +2022-06-19 02:26:44,770 - mmseg - INFO - Iter [159950/160000] lr: 1.964e-08, eta: 0:00:11, time: 0.226, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2468, decode.acc_seg: 72.3670, aux.loss_ce: 0.1218, aux.acc_seg: 70.7958, loss: 0.3686 +2022-06-19 02:26:55,994 - mmseg - INFO - Saving checkpoint at 160000 iterations +2022-06-19 02:26:57,244 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 02:26:57,244 - mmseg - INFO - Iter [160000/160000] lr: 3.850e-10, eta: 0:00:00, time: 0.249, data_time: 0.004, memory: 36327, decode.loss_ce: 0.2453, decode.acc_seg: 73.0301, aux.loss_ce: 0.1227, aux.acc_seg: 71.4438, loss: 0.3680 +2022-06-19 02:27:16,077 - mmseg - INFO - per class results: +2022-06-19 02:27:16,084 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 74.66 | 87.19 | +| building | 80.84 | 92.21 | +| sky | 94.14 | 97.26 | +| floor | 79.12 | 89.59 | +| tree | 73.01 | 87.3 | +| ceiling | 82.45 | 91.45 | +| road | 81.93 | 88.68 | +| bed | 86.06 | 95.15 | +| windowpane | 59.0 | 75.54 | +| grass | 64.67 | 80.08 | +| cabinet | 58.22 | 72.43 | +| sidewalk | 61.38 | 79.51 | +| person | 75.92 | 89.93 | +| earth | 31.84 | 45.24 | +| door | 42.37 | 54.64 | +| table | 53.4 | 69.85 | +| mountain | 53.01 | 72.15 | +| plant | 49.59 | 62.48 | +| curtain | 69.05 | 81.65 | +| chair | 49.56 | 65.45 | +| car | 80.36 | 90.34 | +| water | 52.22 | 64.94 | +| painting | 67.83 | 82.98 | +| sofa | 60.74 | 80.12 | +| shelf | 41.1 | 58.71 | +| house | 37.95 | 48.99 | +| sea | 58.02 | 83.24 | +| mirror | 63.17 | 72.55 | +| rug | 63.5 | 71.33 | +| field | 30.45 | 45.16 | +| armchair | 37.68 | 53.74 | +| seat | 59.52 | 71.8 | +| fence | 39.72 | 54.66 | +| desk | 43.45 | 62.01 | +| rock | 36.97 | 57.15 | +| wardrobe | 43.22 | 59.86 | +| lamp | 55.89 | 69.01 | +| bathtub | 71.62 | 76.72 | +| railing | 29.83 | 40.43 | +| cushion | 51.01 | 63.0 | +| base | 27.96 | 36.24 | +| box | 19.8 | 29.3 | +| column | 38.87 | 49.95 | +| signboard | 30.03 | 43.51 | +| chest of drawers | 35.86 | 55.55 | +| counter | 29.28 | 35.63 | +| sand | 34.99 | 56.29 | +| sink | 69.17 | 77.45 | +| skyscraper | 66.53 | 81.8 | +| fireplace | 62.46 | 78.9 | +| refrigerator | 69.58 | 80.32 | +| grandstand | 44.52 | 75.22 | +| path | 17.92 | 28.77 | +| stairs | 24.6 | 30.49 | +| runway | 70.67 | 90.73 | +| case | 45.66 | 58.65 | +| pool table | 87.56 | 95.85 | +| pillow | 59.17 | 73.34 | +| screen door | 66.21 | 70.24 | +| stairway | 28.44 | 40.99 | +| river | 8.51 | 17.82 | +| bridge | 56.15 | 65.69 | +| bookcase | 45.05 | 60.61 | +| blind | 42.04 | 49.86 | +| coffee table | 52.93 | 79.0 | +| toilet | 81.61 | 87.9 | +| flower | 32.92 | 44.59 | +| book | 41.7 | 63.84 | +| hill | 13.77 | 21.44 | +| bench | 32.45 | 44.0 | +| countertop | 57.22 | 78.36 | +| stove | 68.7 | 79.07 | +| palm | 48.75 | 72.17 | +| kitchen island | 37.04 | 59.91 | +| computer | 51.65 | 64.7 | +| swivel chair | 45.21 | 63.46 | +| boat | 62.89 | 74.25 | +| bar | 30.11 | 34.26 | +| arcade machine | 38.75 | 41.51 | +| hovel | 9.11 | 10.25 | +| bus | 72.34 | 88.87 | +| towel | 54.5 | 65.62 | +| light | 50.36 | 57.09 | +| truck | 13.04 | 18.47 | +| tower | 23.67 | 39.9 | +| chandelier | 60.95 | 73.16 | +| awning | 20.46 | 25.72 | +| streetlight | 18.21 | 22.17 | +| booth | 59.21 | 62.07 | +| television receiver | 54.63 | 72.89 | +| airplane | 56.8 | 65.55 | +| dirt track | 11.7 | 18.31 | +| apparel | 34.79 | 51.04 | +| pole | 21.69 | 31.26 | +| land | 4.44 | 6.24 | +| bannister | 4.92 | 6.7 | +| escalator | 13.28 | 15.14 | +| ottoman | 31.68 | 42.29 | +| bottle | 31.12 | 50.75 | +| buffet | 34.16 | 42.95 | +| poster | 29.67 | 36.78 | +| stage | 13.51 | 17.86 | +| van | 39.37 | 48.69 | +| ship | 26.35 | 29.43 | +| fountain | 13.08 | 14.28 | +| conveyer belt | 65.06 | 78.06 | +| canopy | 27.14 | 31.65 | +| washer | 68.68 | 72.4 | +| plaything | 15.0 | 22.69 | +| swimming pool | 49.29 | 63.42 | +| stool | 26.96 | 35.65 | +| barrel | 10.92 | 23.13 | +| basket | 19.55 | 25.49 | +| waterfall | 65.26 | 90.58 | +| tent | 89.36 | 98.79 | +| bag | 5.1 | 6.81 | +| minibike | 51.68 | 65.44 | +| cradle | 74.77 | 95.85 | +| oven | 17.91 | 40.09 | +| ball | 39.89 | 44.11 | +| food | 52.36 | 66.86 | +| step | 8.99 | 9.87 | +| tank | 36.82 | 41.61 | +| trade name | 21.81 | 25.2 | +| microwave | 36.18 | 41.25 | +| pot | 31.73 | 37.28 | +| animal | 56.32 | 60.29 | +| bicycle | 43.19 | 70.91 | +| lake | 61.62 | 67.15 | +| dishwasher | 53.25 | 68.66 | +| screen | 62.43 | 85.58 | +| blanket | 7.87 | 8.52 | +| sculpture | 41.35 | 55.59 | +| hood | 60.0 | 70.72 | +| sconce | 40.3 | 49.41 | +| vase | 26.8 | 37.32 | +| traffic light | 26.48 | 38.24 | +| tray | 6.38 | 11.4 | +| ashcan | 32.21 | 41.63 | +| fan | 52.4 | 66.86 | +| pier | 24.17 | 44.18 | +| crt screen | 9.67 | 14.13 | +| plate | 44.23 | 54.53 | +| monitor | 57.25 | 70.36 | +| bulletin board | 33.08 | 44.37 | +| shower | 0.95 | 1.03 | +| radiator | 48.22 | 56.02 | +| glass | 5.11 | 5.38 | +| clock | 23.49 | 28.82 | +| flag | 30.06 | 31.87 | ++---------------------+-------+-------+ +2022-06-19 02:27:16,084 - mmseg - INFO - Summary: +2022-06-19 02:27:16,084 - mmseg - INFO - ++-------+------+-------+ +| aAcc | mIoU | mAcc | ++-------+------+-------+ +| 81.07 | 43.9 | 55.26 | ++-------+------+-------+ +2022-06-19 02:27:16,087 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_augreg_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_144000.pth was removed +2022-06-19 02:27:17,133 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_160000.pth. +2022-06-19 02:27:17,133 - mmseg - INFO - Best mIoU is 0.4390 at 160000 iter. +2022-06-19 02:27:17,150 - mmseg - INFO - Exp name: upernet_augreg_adapter_tiny_512_160_ade20k_try2.py +2022-06-19 02:27:17,151 - mmseg - INFO - Iter(val) [250] aAcc: 0.8107, mIoU: 0.4390, mAcc: 0.5526, IoU.wall: 0.7466, IoU.building: 0.8084, IoU.sky: 0.9414, IoU.floor: 0.7912, IoU.tree: 0.7301, IoU.ceiling: 0.8245, IoU.road: 0.8193, IoU.bed : 0.8606, IoU.windowpane: 0.5900, IoU.grass: 0.6467, IoU.cabinet: 0.5822, IoU.sidewalk: 0.6138, IoU.person: 0.7592, IoU.earth: 0.3184, IoU.door: 0.4237, IoU.table: 0.5340, IoU.mountain: 0.5301, IoU.plant: 0.4959, IoU.curtain: 0.6905, IoU.chair: 0.4956, IoU.car: 0.8036, IoU.water: 0.5222, IoU.painting: 0.6783, IoU.sofa: 0.6074, IoU.shelf: 0.4110, IoU.house: 0.3795, IoU.sea: 0.5802, IoU.mirror: 0.6317, IoU.rug: 0.6350, IoU.field: 0.3045, IoU.armchair: 0.3768, IoU.seat: 0.5952, IoU.fence: 0.3972, IoU.desk: 0.4345, IoU.rock: 0.3697, IoU.wardrobe: 0.4322, IoU.lamp: 0.5589, IoU.bathtub: 0.7162, IoU.railing: 0.2983, IoU.cushion: 0.5101, IoU.base: 0.2796, IoU.box: 0.1980, IoU.column: 0.3887, IoU.signboard: 0.3003, IoU.chest of drawers: 0.3586, IoU.counter: 0.2928, IoU.sand: 0.3499, IoU.sink: 0.6917, IoU.skyscraper: 0.6653, IoU.fireplace: 0.6246, IoU.refrigerator: 0.6958, IoU.grandstand: 0.4452, IoU.path: 0.1792, IoU.stairs: 0.2460, IoU.runway: 0.7067, IoU.case: 0.4566, IoU.pool table: 0.8756, IoU.pillow: 0.5917, IoU.screen door: 0.6621, IoU.stairway: 0.2844, IoU.river: 0.0851, IoU.bridge: 0.5615, IoU.bookcase: 0.4505, IoU.blind: 0.4204, IoU.coffee table: 0.5293, IoU.toilet: 0.8161, IoU.flower: 0.3292, IoU.book: 0.4170, IoU.hill: 0.1377, IoU.bench: 0.3245, IoU.countertop: 0.5722, IoU.stove: 0.6870, IoU.palm: 0.4875, IoU.kitchen island: 0.3704, IoU.computer: 0.5165, IoU.swivel chair: 0.4521, IoU.boat: 0.6289, IoU.bar: 0.3011, IoU.arcade machine: 0.3875, IoU.hovel: 0.0911, IoU.bus: 0.7234, IoU.towel: 0.5450, IoU.light: 0.5036, IoU.truck: 0.1304, IoU.tower: 0.2367, IoU.chandelier: 0.6095, IoU.awning: 0.2046, IoU.streetlight: 0.1821, IoU.booth: 0.5921, IoU.television receiver: 0.5463, IoU.airplane: 0.5680, IoU.dirt track: 0.1170, IoU.apparel: 0.3479, IoU.pole: 0.2169, IoU.land: 0.0444, IoU.bannister: 0.0492, IoU.escalator: 0.1328, IoU.ottoman: 0.3168, IoU.bottle: 0.3112, IoU.buffet: 0.3416, IoU.poster: 0.2967, IoU.stage: 0.1351, IoU.van: 0.3937, IoU.ship: 0.2635, IoU.fountain: 0.1308, IoU.conveyer belt: 0.6506, IoU.canopy: 0.2714, IoU.washer: 0.6868, IoU.plaything: 0.1500, IoU.swimming pool: 0.4929, IoU.stool: 0.2696, IoU.barrel: 0.1092, IoU.basket: 0.1955, IoU.waterfall: 0.6526, IoU.tent: 0.8936, IoU.bag: 0.0510, IoU.minibike: 0.5168, IoU.cradle: 0.7477, IoU.oven: 0.1791, IoU.ball: 0.3989, IoU.food: 0.5236, IoU.step: 0.0899, IoU.tank: 0.3682, IoU.trade name: 0.2181, IoU.microwave: 0.3618, IoU.pot: 0.3173, IoU.animal: 0.5632, IoU.bicycle: 0.4319, IoU.lake: 0.6162, IoU.dishwasher: 0.5325, IoU.screen: 0.6243, IoU.blanket: 0.0787, IoU.sculpture: 0.4135, IoU.hood: 0.6000, IoU.sconce: 0.4030, IoU.vase: 0.2680, IoU.traffic light: 0.2648, IoU.tray: 0.0638, IoU.ashcan: 0.3221, IoU.fan: 0.5240, IoU.pier: 0.2417, IoU.crt screen: 0.0967, IoU.plate: 0.4423, IoU.monitor: 0.5725, IoU.bulletin board: 0.3308, IoU.shower: 0.0095, IoU.radiator: 0.4822, IoU.glass: 0.0511, IoU.clock: 0.2349, IoU.flag: 0.3006, Acc.wall: 0.8719, Acc.building: 0.9221, Acc.sky: 0.9726, Acc.floor: 0.8959, Acc.tree: 0.8730, Acc.ceiling: 0.9145, Acc.road: 0.8868, Acc.bed : 0.9515, Acc.windowpane: 0.7554, Acc.grass: 0.8008, Acc.cabinet: 0.7243, Acc.sidewalk: 0.7951, Acc.person: 0.8993, Acc.earth: 0.4524, Acc.door: 0.5464, Acc.table: 0.6985, Acc.mountain: 0.7215, Acc.plant: 0.6248, Acc.curtain: 0.8165, Acc.chair: 0.6545, Acc.car: 0.9034, Acc.water: 0.6494, Acc.painting: 0.8298, Acc.sofa: 0.8012, Acc.shelf: 0.5871, Acc.house: 0.4899, Acc.sea: 0.8324, Acc.mirror: 0.7255, Acc.rug: 0.7133, Acc.field: 0.4516, Acc.armchair: 0.5374, Acc.seat: 0.7180, Acc.fence: 0.5466, Acc.desk: 0.6201, Acc.rock: 0.5715, Acc.wardrobe: 0.5986, Acc.lamp: 0.6901, Acc.bathtub: 0.7672, Acc.railing: 0.4043, Acc.cushion: 0.6300, Acc.base: 0.3624, Acc.box: 0.2930, Acc.column: 0.4995, Acc.signboard: 0.4351, Acc.chest of drawers: 0.5555, Acc.counter: 0.3563, Acc.sand: 0.5629, Acc.sink: 0.7745, Acc.skyscraper: 0.8180, Acc.fireplace: 0.7890, Acc.refrigerator: 0.8032, Acc.grandstand: 0.7522, Acc.path: 0.2877, Acc.stairs: 0.3049, Acc.runway: 0.9073, Acc.case: 0.5865, Acc.pool table: 0.9585, Acc.pillow: 0.7334, Acc.screen door: 0.7024, Acc.stairway: 0.4099, Acc.river: 0.1782, Acc.bridge: 0.6569, Acc.bookcase: 0.6061, Acc.blind: 0.4986, Acc.coffee table: 0.7900, Acc.toilet: 0.8790, Acc.flower: 0.4459, Acc.book: 0.6384, Acc.hill: 0.2144, Acc.bench: 0.4400, Acc.countertop: 0.7836, Acc.stove: 0.7907, Acc.palm: 0.7217, Acc.kitchen island: 0.5991, Acc.computer: 0.6470, Acc.swivel chair: 0.6346, Acc.boat: 0.7425, Acc.bar: 0.3426, Acc.arcade machine: 0.4151, Acc.hovel: 0.1025, Acc.bus: 0.8887, Acc.towel: 0.6562, Acc.light: 0.5709, Acc.truck: 0.1847, Acc.tower: 0.3990, Acc.chandelier: 0.7316, Acc.awning: 0.2572, Acc.streetlight: 0.2217, Acc.booth: 0.6207, Acc.television receiver: 0.7289, Acc.airplane: 0.6555, Acc.dirt track: 0.1831, Acc.apparel: 0.5104, Acc.pole: 0.3126, Acc.land: 0.0624, Acc.bannister: 0.0670, Acc.escalator: 0.1514, Acc.ottoman: 0.4229, Acc.bottle: 0.5075, Acc.buffet: 0.4295, Acc.poster: 0.3678, Acc.stage: 0.1786, Acc.van: 0.4869, Acc.ship: 0.2943, Acc.fountain: 0.1428, Acc.conveyer belt: 0.7806, Acc.canopy: 0.3165, Acc.washer: 0.7240, Acc.plaything: 0.2269, Acc.swimming pool: 0.6342, Acc.stool: 0.3565, Acc.barrel: 0.2313, Acc.basket: 0.2549, Acc.waterfall: 0.9058, Acc.tent: 0.9879, Acc.bag: 0.0681, Acc.minibike: 0.6544, Acc.cradle: 0.9585, Acc.oven: 0.4009, Acc.ball: 0.4411, Acc.food: 0.6686, Acc.step: 0.0987, Acc.tank: 0.4161, Acc.trade name: 0.2520, Acc.microwave: 0.4125, Acc.pot: 0.3728, Acc.animal: 0.6029, Acc.bicycle: 0.7091, Acc.lake: 0.6715, Acc.dishwasher: 0.6866, Acc.screen: 0.8558, Acc.blanket: 0.0852, Acc.sculpture: 0.5559, Acc.hood: 0.7072, Acc.sconce: 0.4941, Acc.vase: 0.3732, Acc.traffic light: 0.3824, Acc.tray: 0.1140, Acc.ashcan: 0.4163, Acc.fan: 0.6686, Acc.pier: 0.4418, Acc.crt screen: 0.1413, Acc.plate: 0.5453, Acc.monitor: 0.7036, Acc.bulletin board: 0.4437, Acc.shower: 0.0103, Acc.radiator: 0.5602, Acc.glass: 0.0538, Acc.clock: 0.2882, Acc.flag: 0.3187 +