2023-11-13 15:46:40,714 - mmseg - INFO - Multi-processing start method is `None` 2023-11-13 15:46:40,719 - mmseg - INFO - OpenCV num_threads is `128 2023-11-13 15:46:40,720 - mmseg - INFO - OMP num threads is 1 2023-11-13 15:46:40,824 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.8.17 (default, Jul 5 2023, 21:04:15) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/petrelfs/share/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (GCC) 7.5.0 PyTorch: 1.12.0 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-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;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.3.2 (built against CUDA 11.5) - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.0 OpenCV: 4.8.0 MMCV: 1.5.0 MMCV Compiler: GCC 7.5 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.27.0+a85a748 ------------------------------------------------------------ 2023-11-13 15:46:40,824 - mmseg - INFO - Distributed training: True 2023-11-13 15:46:41,536 - mmseg - INFO - Config: norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoder', pretrained='open-mmlab://resnet50_v1c', backbone=dict( type='Flash_InternImage_nsmx', core_op='FlashDCNv3', channels=80, depths=[4, 4, 21, 4], groups=[5, 10, 20, 40], mlp_ratio=4.0, drop_path_rate=0.3, norm_layer='LN', layer_scale=1.0, offset_scale=1.0, post_norm=True, with_cp=True, op_bias=True, init_cfg=dict( type='Pretrained', checkpoint= '/mnt/petrelfs/share_data/xiongyuwen/checkpoint/flash_internimage_s_1k_224_nosmx_dw/ckpt_epoch_ema_best.pth' )), decode_head=dict( type='UPerHead', in_channels=[80, 160, 320, 640], 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=320, in_index=2, channels=256, num_convs=1, concat_input=False, dropout_ratio=0.1, num_classes=150, norm_cfg=dict(type='SyncBN', requires_grad=True), align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), train_cfg=dict(), test_cfg=dict(mode='whole')) dataset_type = 'ADE20KDataset' data_root = 'data/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/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/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/ADEChallengeData2016', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=32), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) log_config = dict( interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=6e-05, betas=(0.9, 0.999), weight_decay=0.05, constructor='CustomLayerDecayOptimizerConstructor', paramwise_cfg=dict( num_layers=33, layer_decay_rate=1.0, depths=[4, 4, 21, 4])) 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 = '/mnt/petrelfs/share_data/xiongyuwen/checkpoint/flash_internimage_s_1k_224_nosmx_dw/ckpt_epoch_ema_best.pth' work_dir = './work_dirs/upernet_flash_internimage_s_512_160k_ade20k' gpu_ids = range(0, 8) auto_resume = False 2023-11-13 15:46:46,040 - mmseg - INFO - Set random seed to 133146995, deterministic: False 2023-11-13 15:46:46,041 - mmseg - INFO - using core type: FlashDCNv3 2023-11-13 15:46:46,041 - mmseg - INFO - using activation layer: GELU 2023-11-13 15:46:46,041 - mmseg - INFO - using main norm layer: LN 2023-11-13 15:46:46,041 - mmseg - INFO - using dpr: linear, 0.3 2023-11-13 15:46:46,041 - mmseg - INFO - level2_post_norm: False 2023-11-13 15:46:46,041 - mmseg - INFO - level2_post_norm_block_ids: None 2023-11-13 15:46:46,041 - mmseg - INFO - res_post_norm: False 2023-11-13 15:46:47,367 - mmseg - INFO - load checkpoint from local path: /mnt/petrelfs/share_data/xiongyuwen/checkpoint/flash_internimage_s_1k_224_nosmx_dw/ckpt_epoch_ema_best.pth 2023-11-13 15:46:48,965 - mmseg - INFO - _IncompatibleKeys(missing_keys=[], unexpected_keys=['conv_head.0.weight', 'conv_head.1.0.weight', 'conv_head.1.0.bias', 'conv_head.1.0.running_mean', 'conv_head.1.0.running_var', 'conv_head.1.0.num_batches_tracked', 'head.weight', 'head.bias']) 2023-11-13 15:46:49,004 - mmseg - INFO - initialize UPerHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} 2023-11-13 15:46:49,146 - mmseg - INFO - initialize FCNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} Name of parameter - Initialization information backbone.patch_embed.conv1.weight - torch.Size([40, 3, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.conv1.bias - torch.Size([40]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm1.1.weight - torch.Size([40]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm1.1.bias - torch.Size([40]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.conv2.weight - torch.Size([80, 40, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.conv2.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm2.1.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm2.1.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.gamma1 - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.gamma2 - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm1.0.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm1.0.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask_dw.weight - torch.Size([80, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask_dw.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask.weight - torch.Size([135, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask.bias - torch.Size([135]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.value_proj.weight - torch.Size([80, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.value_proj.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.output_proj.weight - torch.Size([80, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm2.0.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm2.0.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.mlp.fc1.weight - torch.Size([320, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.mlp.fc1.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.mlp.fc2.weight - torch.Size([80, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.gamma1 - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.gamma2 - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm1.0.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm1.0.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask_dw.weight - torch.Size([80, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask_dw.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask.weight - torch.Size([135, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask.bias - torch.Size([135]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.value_proj.weight - torch.Size([80, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.value_proj.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.output_proj.weight - torch.Size([80, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm2.0.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm2.0.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.mlp.fc1.weight - torch.Size([320, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.mlp.fc1.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.mlp.fc2.weight - torch.Size([80, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.gamma1 - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.gamma2 - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm1.0.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm1.0.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask_dw.weight - torch.Size([80, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask_dw.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask.weight - torch.Size([135, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask.bias - torch.Size([135]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.value_proj.weight - torch.Size([80, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.value_proj.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.output_proj.weight - torch.Size([80, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm2.0.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm2.0.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.mlp.fc1.weight - torch.Size([320, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.mlp.fc1.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.mlp.fc2.weight - torch.Size([80, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.gamma1 - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.gamma2 - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm1.0.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm1.0.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask_dw.weight - torch.Size([80, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask_dw.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask.weight - torch.Size([135, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask.bias - torch.Size([135]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.value_proj.weight - torch.Size([80, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.value_proj.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.output_proj.weight - torch.Size([80, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm2.0.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm2.0.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.mlp.fc1.weight - torch.Size([320, 80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.mlp.fc1.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.mlp.fc2.weight - torch.Size([80, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.downsample.conv.weight - torch.Size([160, 80, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.downsample.norm.1.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.downsample.norm.1.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.downsample.conv.weight - torch.Size([320, 160, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.downsample.norm.1.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.downsample.norm.1.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.downsample.conv.weight - torch.Size([640, 320, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.downsample.norm.1.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.downsample.norm.1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx 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, 640, 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, 640, 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, 640, 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, 640, 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, 2688, 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, 80, 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, 160, 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, 320, 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, 320, 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 2023-11-13 15:46:50,086 - mmseg - INFO - Loaded 20210 images 2023-11-13 15:46:51,133 - mmseg - INFO - {'num_layers': 33, 'layer_decay_rate': 1.0, 'depths': [4, 4, 21, 4]} 2023-11-13 15:46:51,133 - mmseg - INFO - Build CustomLayerDecayOptimizerConstructor 1.000000 - 35 2023-11-13 15:46:51,137 - mmseg - INFO - Param groups = { "layer_0_decay": { "param_names": [ "backbone.patch_embed.conv1.weight", "backbone.patch_embed.conv2.weight" ], "lr_scale": 1.0, "lr": 6e-05, "weight_decay": 0.05 }, "layer_0_no_decay": { "param_names": [ "backbone.patch_embed.conv1.bias", "backbone.patch_embed.norm1.1.weight", "backbone.patch_embed.norm1.1.bias", "backbone.patch_embed.conv2.bias", "backbone.patch_embed.norm2.1.weight", "backbone.patch_embed.norm2.1.bias" ], "lr_scale": 1.0, "lr": 6e-05, "weight_decay": 0.0 }, "layer_1_no_decay": { "param_names": [ "backbone.levels.0.blocks.0.gamma1", "backbone.levels.0.blocks.0.gamma2", "backbone.levels.0.blocks.0.norm1.0.weight", "backbone.levels.0.blocks.0.norm1.0.bias", "backbone.levels.0.blocks.0.dcn.offset_mask_dw.bias", "backbone.levels.0.blocks.0.dcn.offset_mask.bias", 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"decode_head.lateral_convs.0.bn.weight", "decode_head.lateral_convs.0.bn.bias", "decode_head.lateral_convs.1.bn.weight", "decode_head.lateral_convs.1.bn.bias", "decode_head.lateral_convs.2.bn.weight", "decode_head.lateral_convs.2.bn.bias", "decode_head.fpn_convs.0.bn.weight", "decode_head.fpn_convs.0.bn.bias", "decode_head.fpn_convs.1.bn.weight", "decode_head.fpn_convs.1.bn.bias", "decode_head.fpn_convs.2.bn.weight", "decode_head.fpn_convs.2.bn.bias", "decode_head.fpn_bottleneck.bn.weight", "decode_head.fpn_bottleneck.bn.bias", "auxiliary_head.conv_seg.bias", "auxiliary_head.convs.0.bn.weight", "auxiliary_head.convs.0.bn.bias" ], "lr_scale": 1.0, "lr": 6e-05, "weight_decay": 0.0 } } 2023-11-13 15:46:51,257 - mmseg - INFO - Loaded 2000 images 2023-11-13 15:46:51,258 - mmseg - INFO - Start running, host: lizhiqi@SH-IDC1-10-140-37-160, work_dir: /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/upernet_flash_internimage_s_512_160k_ade20k 2023-11-13 15:46:51,258 - 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 -------------------- 2023-11-13 15:46:51,258 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-11-13 15:46:51,258 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/upernet_flash_internimage_s_512_160k_ade20k by HardDiskBackend. 2023-11-13 15:47:45,654 - mmseg - INFO - Iter [50/160000] lr: 1.959e-06, eta: 20:08:19, time: 0.453, data_time: 0.009, memory: 3898, decode.loss_ce: 4.0488, decode.acc_seg: 1.0243, aux.loss_ce: 1.6169, aux.acc_seg: 1.0574, loss: 5.6657 2023-11-13 15:47:59,342 - mmseg - INFO - Iter [100/160000] lr: 3.958e-06, eta: 16:09:25, time: 0.274, data_time: 0.004, memory: 3898, decode.loss_ce: 3.9712, decode.acc_seg: 5.7241, aux.loss_ce: 1.6117, aux.acc_seg: 1.5830, loss: 5.5828 2023-11-13 15:48:11,714 - mmseg - INFO - Iter [150/160000] lr: 5.955e-06, eta: 14:25:48, time: 0.247, data_time: 0.003, memory: 3898, decode.loss_ce: 3.7979, decode.acc_seg: 25.4324, aux.loss_ce: 1.5921, aux.acc_seg: 4.8251, loss: 5.3900 2023-11-13 15:48:23,763 - mmseg - INFO - Iter [200/160000] lr: 7.950e-06, eta: 13:29:35, time: 0.241, data_time: 0.004, memory: 3898, decode.loss_ce: 3.5435, decode.acc_seg: 38.1493, aux.loss_ce: 1.5869, aux.acc_seg: 13.7903, loss: 5.1304 2023-11-13 15:48:35,781 - mmseg - INFO - Iter [250/160000] lr: 9.945e-06, eta: 12:55:28, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 3.2074, decode.acc_seg: 44.4717, aux.loss_ce: 1.5580, aux.acc_seg: 25.8746, loss: 4.7654 2023-11-13 15:48:47,650 - mmseg - INFO - Iter [300/160000] lr: 1.194e-05, eta: 12:31:19, time: 0.237, data_time: 0.003, memory: 3898, decode.loss_ce: 2.9506, decode.acc_seg: 46.3248, aux.loss_ce: 1.5117, aux.acc_seg: 34.2240, loss: 4.4623 2023-11-13 15:48:59,598 - mmseg - INFO - Iter [350/160000] lr: 1.393e-05, eta: 12:14:37, time: 0.239, data_time: 0.003, memory: 3898, decode.loss_ce: 2.7084, decode.acc_seg: 50.9815, aux.loss_ce: 1.4566, aux.acc_seg: 40.5357, loss: 4.1650 2023-11-13 15:49:13,173 - mmseg - INFO - Iter [400/160000] lr: 1.592e-05, eta: 12:12:53, time: 0.272, data_time: 0.005, memory: 3898, decode.loss_ce: 2.5274, decode.acc_seg: 53.7580, aux.loss_ce: 1.4090, aux.acc_seg: 43.8849, loss: 3.9365 2023-11-13 15:49:25,241 - mmseg - INFO - Iter [450/160000] lr: 1.791e-05, eta: 12:02:32, time: 0.241, data_time: 0.003, memory: 3898, decode.loss_ce: 2.3297, decode.acc_seg: 54.4231, aux.loss_ce: 1.3173, aux.acc_seg: 45.6493, loss: 3.6470 2023-11-13 15:49:37,088 - mmseg - INFO - Iter [500/160000] lr: 1.990e-05, eta: 11:53:04, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 2.1866, decode.acc_seg: 56.2398, aux.loss_ce: 1.2513, aux.acc_seg: 46.7409, loss: 3.4379 2023-11-13 15:49:49,055 - mmseg - INFO - Iter [550/160000] lr: 2.188e-05, eta: 11:45:42, time: 0.239, data_time: 0.003, memory: 3898, decode.loss_ce: 2.0268, decode.acc_seg: 56.5347, aux.loss_ce: 1.1728, aux.acc_seg: 47.4658, loss: 3.1996 2023-11-13 15:50:00,923 - mmseg - INFO - Iter [600/160000] lr: 2.387e-05, eta: 11:39:23, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 1.9167, decode.acc_seg: 59.4335, aux.loss_ce: 1.1290, aux.acc_seg: 49.6454, loss: 3.0457 2023-11-13 15:50:12,895 - mmseg - INFO - Iter [650/160000] lr: 2.585e-05, eta: 11:34:17, time: 0.239, data_time: 0.003, memory: 3898, decode.loss_ce: 1.8187, decode.acc_seg: 59.1556, aux.loss_ce: 1.0729, aux.acc_seg: 50.6013, loss: 2.8915 2023-11-13 15:50:24,674 - mmseg - INFO - Iter [700/160000] lr: 2.784e-05, eta: 11:29:11, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 1.7527, decode.acc_seg: 59.7398, aux.loss_ce: 1.0375, aux.acc_seg: 50.3916, loss: 2.7902 2023-11-13 15:50:38,133 - mmseg - INFO - Iter [750/160000] lr: 2.982e-05, eta: 11:30:34, time: 0.269, data_time: 0.004, memory: 3898, decode.loss_ce: 1.7274, decode.acc_seg: 58.6383, aux.loss_ce: 1.0087, aux.acc_seg: 49.6774, loss: 2.7362 2023-11-13 15:50:51,181 - mmseg - INFO - Iter [800/160000] lr: 3.180e-05, eta: 11:30:33, time: 0.261, data_time: 0.004, memory: 3898, decode.loss_ce: 1.5909, decode.acc_seg: 61.2821, aux.loss_ce: 0.9565, aux.acc_seg: 52.3461, loss: 2.5474 2023-11-13 15:51:03,786 - mmseg - INFO - Iter [850/160000] lr: 3.378e-05, eta: 11:29:04, time: 0.252, data_time: 0.004, memory: 3898, decode.loss_ce: 1.5540, decode.acc_seg: 62.0695, aux.loss_ce: 0.9146, aux.acc_seg: 53.1163, loss: 2.4686 2023-11-13 15:51:15,932 - mmseg - INFO - Iter [900/160000] lr: 3.576e-05, eta: 11:26:22, time: 0.243, data_time: 0.004, memory: 3898, decode.loss_ce: 1.4573, decode.acc_seg: 62.3900, aux.loss_ce: 0.8565, aux.acc_seg: 53.5835, loss: 2.3138 2023-11-13 15:51:27,829 - mmseg - INFO - Iter [950/160000] lr: 3.773e-05, eta: 11:23:14, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 1.4673, decode.acc_seg: 63.6808, aux.loss_ce: 0.8500, aux.acc_seg: 54.5423, loss: 2.3174 2023-11-13 15:51:39,949 - mmseg - INFO - Saving checkpoint at 1000 iterations 2023-11-13 15:51:42,429 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 15:51:42,429 - mmseg - INFO - Iter [1000/160000] lr: 3.971e-05, eta: 11:27:34, time: 0.292, data_time: 0.004, memory: 3898, decode.loss_ce: 1.4265, decode.acc_seg: 62.9154, aux.loss_ce: 0.8171, aux.acc_seg: 53.8067, loss: 2.2436 2023-11-13 15:51:54,488 - mmseg - INFO - Iter [1050/160000] lr: 4.168e-05, eta: 11:25:02, time: 0.241, data_time: 0.003, memory: 3898, decode.loss_ce: 1.3625, decode.acc_seg: 64.2124, aux.loss_ce: 0.7834, aux.acc_seg: 55.1765, loss: 2.1459 2023-11-13 15:52:06,380 - mmseg - INFO - Iter [1100/160000] lr: 4.366e-05, eta: 11:22:19, time: 0.238, data_time: 0.003, memory: 3898, decode.loss_ce: 1.3199, decode.acc_seg: 64.4622, aux.loss_ce: 0.7517, aux.acc_seg: 56.1558, loss: 2.0716 2023-11-13 15:52:18,190 - mmseg - INFO - Iter [1150/160000] lr: 4.563e-05, eta: 11:19:38, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 1.3168, decode.acc_seg: 65.1580, aux.loss_ce: 0.7481, aux.acc_seg: 56.7199, loss: 2.0649 2023-11-13 15:52:30,187 - mmseg - INFO - Iter [1200/160000] lr: 4.760e-05, eta: 11:17:35, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 1.2857, decode.acc_seg: 64.7932, aux.loss_ce: 0.7083, aux.acc_seg: 57.4530, loss: 1.9940 2023-11-13 15:52:41,981 - mmseg - INFO - Iter [1250/160000] lr: 4.957e-05, eta: 11:15:14, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 1.2489, decode.acc_seg: 65.0133, aux.loss_ce: 0.6827, aux.acc_seg: 58.2722, loss: 1.9316 2023-11-13 15:52:56,122 - mmseg - INFO - Iter [1300/160000] lr: 5.154e-05, eta: 11:17:50, time: 0.283, data_time: 0.048, memory: 3898, decode.loss_ce: 1.2001, decode.acc_seg: 66.5982, aux.loss_ce: 0.6669, aux.acc_seg: 59.2358, loss: 1.8670 2023-11-13 15:53:08,073 - mmseg - INFO - Iter [1350/160000] lr: 5.351e-05, eta: 11:15:55, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 1.1847, decode.acc_seg: 66.1594, aux.loss_ce: 0.6453, aux.acc_seg: 59.7733, loss: 1.8301 2023-11-13 15:53:19,862 - mmseg - INFO - Iter [1400/160000] lr: 5.547e-05, eta: 11:13:50, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 1.1435, decode.acc_seg: 67.3923, aux.loss_ce: 0.6266, aux.acc_seg: 61.0021, loss: 1.7701 2023-11-13 15:53:31,712 - mmseg - INFO - Iter [1450/160000] lr: 5.744e-05, eta: 11:11:59, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 1.0854, decode.acc_seg: 68.3281, aux.loss_ce: 0.6045, aux.acc_seg: 61.3228, loss: 1.6898 2023-11-13 15:53:44,063 - mmseg - INFO - Iter [1500/160000] lr: 5.940e-05, eta: 11:11:08, time: 0.247, data_time: 0.004, memory: 3898, decode.loss_ce: 1.1672, decode.acc_seg: 66.4088, aux.loss_ce: 0.6232, aux.acc_seg: 60.2075, loss: 1.7904 2023-11-13 15:53:56,190 - mmseg - INFO - Iter [1550/160000] lr: 5.942e-05, eta: 11:09:56, time: 0.242, data_time: 0.004, memory: 3898, decode.loss_ce: 1.0741, decode.acc_seg: 68.6364, aux.loss_ce: 0.5770, aux.acc_seg: 63.2370, loss: 1.6511 2023-11-13 15:54:08,319 - mmseg - INFO - Iter [1600/160000] lr: 5.940e-05, eta: 11:08:49, time: 0.243, data_time: 0.004, memory: 3898, decode.loss_ce: 1.0150, decode.acc_seg: 70.1743, aux.loss_ce: 0.5479, aux.acc_seg: 63.4267, loss: 1.5629 2023-11-13 15:54:20,128 - mmseg - INFO - Iter [1650/160000] lr: 5.938e-05, eta: 11:07:14, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 1.0326, decode.acc_seg: 69.0614, aux.loss_ce: 0.5560, aux.acc_seg: 63.5386, loss: 1.5885 2023-11-13 15:54:32,755 - mmseg - INFO - Iter [1700/160000] lr: 5.936e-05, eta: 11:07:00, time: 0.253, data_time: 0.004, memory: 3898, decode.loss_ce: 1.0188, decode.acc_seg: 68.8388, aux.loss_ce: 0.5410, aux.acc_seg: 63.4494, loss: 1.5598 2023-11-13 15:54:44,726 - mmseg - INFO - Iter [1750/160000] lr: 5.934e-05, eta: 11:05:47, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 1.0563, decode.acc_seg: 68.5730, aux.loss_ce: 0.5539, aux.acc_seg: 63.5955, loss: 1.6102 2023-11-13 15:54:56,553 - mmseg - INFO - Iter [1800/160000] lr: 5.933e-05, eta: 11:04:24, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.9745, decode.acc_seg: 70.2520, aux.loss_ce: 0.5253, aux.acc_seg: 64.4928, loss: 1.4998 2023-11-13 15:55:08,454 - mmseg - INFO - Iter [1850/160000] lr: 5.931e-05, eta: 11:03:11, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 1.0512, decode.acc_seg: 67.4779, aux.loss_ce: 0.5364, aux.acc_seg: 63.0287, loss: 1.5876 2023-11-13 15:55:20,259 - mmseg - INFO - Iter [1900/160000] lr: 5.929e-05, eta: 11:01:55, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.9958, decode.acc_seg: 70.2650, aux.loss_ce: 0.5191, aux.acc_seg: 64.9183, loss: 1.5149 2023-11-13 15:55:31,993 - mmseg - INFO - Iter [1950/160000] lr: 5.927e-05, eta: 11:00:35, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.9571, decode.acc_seg: 71.0263, aux.loss_ce: 0.5078, aux.acc_seg: 65.8449, loss: 1.4649 2023-11-13 15:55:43,714 - mmseg - INFO - Saving checkpoint at 2000 iterations 2023-11-13 15:55:46,622 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 15:55:46,622 - mmseg - INFO - Iter [2000/160000] lr: 5.925e-05, eta: 11:03:08, time: 0.293, data_time: 0.004, memory: 3898, decode.loss_ce: 1.0021, decode.acc_seg: 69.9339, aux.loss_ce: 0.5211, aux.acc_seg: 64.5823, loss: 1.5232 2023-11-13 15:55:58,381 - mmseg - INFO - Iter [2050/160000] lr: 5.923e-05, eta: 11:01:51, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.9003, decode.acc_seg: 71.4230, aux.loss_ce: 0.4819, aux.acc_seg: 66.5790, loss: 1.3822 2023-11-13 15:56:10,661 - mmseg - INFO - Iter [2100/160000] lr: 5.921e-05, eta: 11:01:16, time: 0.246, data_time: 0.004, memory: 3898, decode.loss_ce: 0.9714, decode.acc_seg: 69.3404, aux.loss_ce: 0.4992, aux.acc_seg: 65.0307, loss: 1.4706 2023-11-13 15:56:22,462 - mmseg - INFO - Iter [2150/160000] lr: 5.919e-05, eta: 11:00:08, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8923, decode.acc_seg: 71.2693, aux.loss_ce: 0.4770, aux.acc_seg: 66.6481, loss: 1.3693 2023-11-13 15:56:34,312 - mmseg - INFO - Iter [2200/160000] lr: 5.918e-05, eta: 10:59:05, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8826, decode.acc_seg: 72.0710, aux.loss_ce: 0.4781, aux.acc_seg: 66.6815, loss: 1.3607 2023-11-13 15:56:46,361 - mmseg - INFO - Iter [2250/160000] lr: 5.916e-05, eta: 10:58:17, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 0.9593, decode.acc_seg: 69.7730, aux.loss_ce: 0.5031, aux.acc_seg: 64.3223, loss: 1.4624 2023-11-13 15:56:58,242 - mmseg - INFO - Iter [2300/160000] lr: 5.914e-05, eta: 10:57:23, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.9886, decode.acc_seg: 69.0917, aux.loss_ce: 0.5094, aux.acc_seg: 64.4671, loss: 1.4981 2023-11-13 15:57:10,003 - mmseg - INFO - Iter [2350/160000] lr: 5.912e-05, eta: 10:56:20, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.9095, decode.acc_seg: 70.3871, aux.loss_ce: 0.4776, aux.acc_seg: 65.4317, loss: 1.3871 2023-11-13 15:57:22,024 - mmseg - INFO - Iter [2400/160000] lr: 5.910e-05, eta: 10:55:37, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 0.9053, decode.acc_seg: 70.6292, aux.loss_ce: 0.4823, aux.acc_seg: 65.1729, loss: 1.3876 2023-11-13 15:57:33,900 - mmseg - INFO - Iter [2450/160000] lr: 5.908e-05, eta: 10:54:45, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8794, decode.acc_seg: 72.2082, aux.loss_ce: 0.4702, aux.acc_seg: 66.4086, loss: 1.3497 2023-11-13 15:57:46,102 - mmseg - INFO - Iter [2500/160000] lr: 5.906e-05, eta: 10:54:16, time: 0.244, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8891, decode.acc_seg: 70.9688, aux.loss_ce: 0.4658, aux.acc_seg: 65.9371, loss: 1.3549 2023-11-13 15:58:00,810 - mmseg - INFO - Iter [2550/160000] lr: 5.904e-05, eta: 10:56:22, time: 0.294, data_time: 0.047, memory: 3898, decode.loss_ce: 0.9255, decode.acc_seg: 69.7217, aux.loss_ce: 0.4873, aux.acc_seg: 64.2296, loss: 1.4128 2023-11-13 15:58:13,180 - mmseg - INFO - Iter [2600/160000] lr: 5.903e-05, eta: 10:56:02, time: 0.247, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8701, decode.acc_seg: 71.5689, aux.loss_ce: 0.4609, aux.acc_seg: 66.2302, loss: 1.3310 2023-11-13 15:58:24,932 - mmseg - INFO - Iter [2650/160000] lr: 5.901e-05, eta: 10:55:04, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8463, decode.acc_seg: 71.7590, aux.loss_ce: 0.4541, aux.acc_seg: 66.7786, loss: 1.3003 2023-11-13 15:58:36,622 - mmseg - INFO - Iter [2700/160000] lr: 5.899e-05, eta: 10:54:05, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8254, decode.acc_seg: 73.4902, aux.loss_ce: 0.4349, aux.acc_seg: 68.5107, loss: 1.2604 2023-11-13 15:58:48,542 - mmseg - INFO - Iter [2750/160000] lr: 5.897e-05, eta: 10:53:21, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8284, decode.acc_seg: 72.6403, aux.loss_ce: 0.4470, aux.acc_seg: 66.5592, loss: 1.2754 2023-11-13 15:59:00,770 - mmseg - INFO - Iter [2800/160000] lr: 5.895e-05, eta: 10:52:55, time: 0.245, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8356, decode.acc_seg: 72.3120, aux.loss_ce: 0.4325, aux.acc_seg: 67.9538, loss: 1.2681 2023-11-13 15:59:12,470 - mmseg - INFO - Iter [2850/160000] lr: 5.893e-05, eta: 10:52:01, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7775, decode.acc_seg: 73.6543, aux.loss_ce: 0.4144, aux.acc_seg: 68.8598, loss: 1.1919 2023-11-13 15:59:25,318 - mmseg - INFO - Iter [2900/160000] lr: 5.891e-05, eta: 10:52:10, time: 0.257, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8532, decode.acc_seg: 72.2028, aux.loss_ce: 0.4517, aux.acc_seg: 67.1205, loss: 1.3049 2023-11-13 15:59:37,541 - mmseg - INFO - Iter [2950/160000] lr: 5.889e-05, eta: 10:51:46, time: 0.245, data_time: 0.004, memory: 3898, decode.loss_ce: 0.8121, decode.acc_seg: 72.4372, aux.loss_ce: 0.4298, aux.acc_seg: 67.7698, loss: 1.2419 2023-11-13 15:59:49,450 - mmseg - INFO - Saving checkpoint at 3000 iterations 2023-11-13 15:59:52,069 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 15:59:52,069 - mmseg - INFO - Iter [3000/160000] lr: 5.888e-05, eta: 10:53:22, time: 0.291, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7731, decode.acc_seg: 73.6682, aux.loss_ce: 0.4145, aux.acc_seg: 68.7167, loss: 1.1876 2023-11-13 16:00:03,840 - mmseg - INFO - Iter [3050/160000] lr: 5.886e-05, eta: 10:52:32, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7562, decode.acc_seg: 74.0207, aux.loss_ce: 0.4068, aux.acc_seg: 68.4998, loss: 1.1631 2023-11-13 16:00:16,032 - mmseg - INFO - Iter [3100/160000] lr: 5.884e-05, eta: 10:52:04, time: 0.243, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7699, decode.acc_seg: 73.6586, aux.loss_ce: 0.4081, aux.acc_seg: 68.7990, loss: 1.1779 2023-11-13 16:00:28,042 - mmseg - INFO - Iter [3150/160000] lr: 5.882e-05, eta: 10:51:29, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7918, decode.acc_seg: 73.3456, aux.loss_ce: 0.4153, aux.acc_seg: 68.7690, loss: 1.2071 2023-11-13 16:00:40,556 - mmseg - INFO - Iter [3200/160000] lr: 5.880e-05, eta: 10:51:21, time: 0.251, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7790, decode.acc_seg: 73.1729, aux.loss_ce: 0.4136, aux.acc_seg: 68.0596, loss: 1.1926 2023-11-13 16:00:52,415 - mmseg - INFO - Iter [3250/160000] lr: 5.878e-05, eta: 10:50:39, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7894, decode.acc_seg: 73.4257, aux.loss_ce: 0.4192, aux.acc_seg: 68.2553, loss: 1.2087 2023-11-13 16:01:05,190 - mmseg - INFO - Iter [3300/160000] lr: 5.876e-05, eta: 10:50:42, time: 0.256, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7716, decode.acc_seg: 73.9086, aux.loss_ce: 0.4127, aux.acc_seg: 68.0855, loss: 1.1844 2023-11-13 16:01:17,412 - mmseg - INFO - Iter [3350/160000] lr: 5.874e-05, eta: 10:50:17, time: 0.244, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7841, decode.acc_seg: 73.0480, aux.loss_ce: 0.4163, aux.acc_seg: 67.9908, loss: 1.2004 2023-11-13 16:01:29,722 - mmseg - INFO - Iter [3400/160000] lr: 5.873e-05, eta: 10:49:59, time: 0.247, data_time: 0.005, memory: 3898, decode.loss_ce: 0.7551, decode.acc_seg: 74.7440, aux.loss_ce: 0.4041, aux.acc_seg: 69.2876, loss: 1.1592 2023-11-13 16:01:41,970 - mmseg - INFO - Iter [3450/160000] lr: 5.871e-05, eta: 10:49:38, time: 0.245, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7583, decode.acc_seg: 74.1717, aux.loss_ce: 0.4128, aux.acc_seg: 68.0211, loss: 1.1711 2023-11-13 16:01:53,923 - mmseg - INFO - Iter [3500/160000] lr: 5.869e-05, eta: 10:49:03, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7290, decode.acc_seg: 74.5893, aux.loss_ce: 0.3867, aux.acc_seg: 69.8894, loss: 1.1157 2023-11-13 16:02:05,656 - mmseg - INFO - Iter [3550/160000] lr: 5.867e-05, eta: 10:48:19, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7648, decode.acc_seg: 73.6262, aux.loss_ce: 0.4063, aux.acc_seg: 68.5016, loss: 1.1711 2023-11-13 16:02:17,664 - mmseg - INFO - Iter [3600/160000] lr: 5.865e-05, eta: 10:47:48, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7551, decode.acc_seg: 73.9594, aux.loss_ce: 0.3890, aux.acc_seg: 69.5733, loss: 1.1441 2023-11-13 16:02:29,349 - mmseg - INFO - Iter [3650/160000] lr: 5.863e-05, eta: 10:47:04, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7598, decode.acc_seg: 73.9105, aux.loss_ce: 0.4021, aux.acc_seg: 69.1263, loss: 1.1619 2023-11-13 16:02:41,218 - mmseg - INFO - Iter [3700/160000] lr: 5.861e-05, eta: 10:46:29, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7640, decode.acc_seg: 74.3938, aux.loss_ce: 0.3998, aux.acc_seg: 69.1727, loss: 1.1638 2023-11-13 16:02:53,005 - mmseg - INFO - Iter [3750/160000] lr: 5.859e-05, eta: 10:45:50, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7321, decode.acc_seg: 74.0717, aux.loss_ce: 0.3847, aux.acc_seg: 69.2939, loss: 1.1168 2023-11-13 16:03:07,876 - mmseg - INFO - Iter [3800/160000] lr: 5.858e-05, eta: 10:47:19, time: 0.298, data_time: 0.048, memory: 3898, decode.loss_ce: 0.7155, decode.acc_seg: 75.6386, aux.loss_ce: 0.3795, aux.acc_seg: 70.7138, loss: 1.0950 2023-11-13 16:03:20,494 - mmseg - INFO - Iter [3850/160000] lr: 5.856e-05, eta: 10:47:14, time: 0.252, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7093, decode.acc_seg: 75.1513, aux.loss_ce: 0.3780, aux.acc_seg: 70.4460, loss: 1.0872 2023-11-13 16:03:32,353 - mmseg - INFO - Iter [3900/160000] lr: 5.854e-05, eta: 10:46:39, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6904, decode.acc_seg: 75.9545, aux.loss_ce: 0.3710, aux.acc_seg: 71.6211, loss: 1.0613 2023-11-13 16:03:44,418 - mmseg - INFO - Iter [3950/160000] lr: 5.852e-05, eta: 10:46:12, time: 0.241, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7348, decode.acc_seg: 75.2805, aux.loss_ce: 0.3994, aux.acc_seg: 69.2113, loss: 1.1342 2023-11-13 16:03:56,103 - mmseg - INFO - Saving checkpoint at 4000 iterations 2023-11-13 16:03:58,882 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:03:58,882 - mmseg - INFO - Iter [4000/160000] lr: 5.850e-05, eta: 10:47:19, time: 0.289, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6842, decode.acc_seg: 75.9200, aux.loss_ce: 0.3778, aux.acc_seg: 69.9209, loss: 1.0620 2023-11-13 16:04:10,798 - mmseg - INFO - Iter [4050/160000] lr: 5.848e-05, eta: 10:46:46, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7283, decode.acc_seg: 74.9221, aux.loss_ce: 0.3919, aux.acc_seg: 69.5862, loss: 1.1201 2023-11-13 16:04:22,904 - mmseg - INFO - Iter [4100/160000] lr: 5.846e-05, eta: 10:46:21, time: 0.242, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6954, decode.acc_seg: 75.7456, aux.loss_ce: 0.3709, aux.acc_seg: 70.5108, loss: 1.0663 2023-11-13 16:04:35,128 - mmseg - INFO - Iter [4150/160000] lr: 5.844e-05, eta: 10:46:01, time: 0.244, data_time: 0.005, memory: 3898, decode.loss_ce: 0.6992, decode.acc_seg: 76.0205, aux.loss_ce: 0.3725, aux.acc_seg: 70.7296, loss: 1.0717 2023-11-13 16:04:46,913 - mmseg - INFO - Iter [4200/160000] lr: 5.843e-05, eta: 10:45:23, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6783, decode.acc_seg: 76.7971, aux.loss_ce: 0.3547, aux.acc_seg: 71.3639, loss: 1.0330 2023-11-13 16:04:59,497 - mmseg - INFO - Iter [4250/160000] lr: 5.841e-05, eta: 10:45:17, time: 0.252, data_time: 0.005, memory: 3898, decode.loss_ce: 0.6920, decode.acc_seg: 75.2200, aux.loss_ce: 0.3629, aux.acc_seg: 70.7540, loss: 1.0548 2023-11-13 16:05:13,273 - mmseg - INFO - Iter [4300/160000] lr: 5.839e-05, eta: 10:45:54, time: 0.276, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6849, decode.acc_seg: 75.6040, aux.loss_ce: 0.3641, aux.acc_seg: 70.4537, loss: 1.0490 2023-11-13 16:05:24,982 - mmseg - INFO - Iter [4350/160000] lr: 5.837e-05, eta: 10:45:15, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6942, decode.acc_seg: 75.9662, aux.loss_ce: 0.3670, aux.acc_seg: 70.8564, loss: 1.0613 2023-11-13 16:05:37,933 - mmseg - INFO - Iter [4400/160000] lr: 5.835e-05, eta: 10:45:20, time: 0.258, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7133, decode.acc_seg: 74.5418, aux.loss_ce: 0.3775, aux.acc_seg: 69.4042, loss: 1.0908 2023-11-13 16:05:49,766 - mmseg - INFO - Iter [4450/160000] lr: 5.833e-05, eta: 10:44:47, time: 0.237, data_time: 0.005, memory: 3898, decode.loss_ce: 0.6660, decode.acc_seg: 75.8864, aux.loss_ce: 0.3506, aux.acc_seg: 71.9816, loss: 1.0166 2023-11-13 16:06:01,955 - mmseg - INFO - Iter [4500/160000] lr: 5.831e-05, eta: 10:44:26, time: 0.244, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6755, decode.acc_seg: 75.2344, aux.loss_ce: 0.3501, aux.acc_seg: 71.2948, loss: 1.0256 2023-11-13 16:06:13,753 - mmseg - INFO - Iter [4550/160000] lr: 5.829e-05, eta: 10:43:52, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6765, decode.acc_seg: 75.7602, aux.loss_ce: 0.3501, aux.acc_seg: 71.2289, loss: 1.0266 2023-11-13 16:06:25,642 - mmseg - INFO - Iter [4600/160000] lr: 5.828e-05, eta: 10:43:21, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.7026, decode.acc_seg: 75.7300, aux.loss_ce: 0.3638, aux.acc_seg: 71.0237, loss: 1.0664 2023-11-13 16:06:37,741 - mmseg - INFO - Iter [4650/160000] lr: 5.826e-05, eta: 10:42:58, time: 0.242, data_time: 0.005, memory: 3898, decode.loss_ce: 0.6967, decode.acc_seg: 75.3828, aux.loss_ce: 0.3663, aux.acc_seg: 70.0241, loss: 1.0630 2023-11-13 16:06:49,733 - mmseg - INFO - Iter [4700/160000] lr: 5.824e-05, eta: 10:42:32, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6988, decode.acc_seg: 74.7242, aux.loss_ce: 0.3613, aux.acc_seg: 70.1053, loss: 1.0602 2023-11-13 16:07:01,859 - mmseg - INFO - Iter [4750/160000] lr: 5.822e-05, eta: 10:42:10, time: 0.242, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6855, decode.acc_seg: 75.8682, aux.loss_ce: 0.3589, aux.acc_seg: 71.1138, loss: 1.0445 2023-11-13 16:07:13,559 - mmseg - INFO - Iter [4800/160000] lr: 5.820e-05, eta: 10:41:35, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6777, decode.acc_seg: 76.0225, aux.loss_ce: 0.3591, aux.acc_seg: 70.5851, loss: 1.0367 2023-11-13 16:07:25,848 - mmseg - INFO - Iter [4850/160000] lr: 5.818e-05, eta: 10:41:18, time: 0.246, data_time: 0.005, memory: 3898, decode.loss_ce: 0.6719, decode.acc_seg: 76.1523, aux.loss_ce: 0.3484, aux.acc_seg: 71.2712, loss: 1.0203 2023-11-13 16:07:37,520 - mmseg - INFO - Iter [4900/160000] lr: 5.816e-05, eta: 10:40:43, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6397, decode.acc_seg: 76.8977, aux.loss_ce: 0.3420, aux.acc_seg: 72.0294, loss: 0.9818 2023-11-13 16:07:49,396 - mmseg - INFO - Iter [4950/160000] lr: 5.814e-05, eta: 10:40:14, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6567, decode.acc_seg: 76.4257, aux.loss_ce: 0.3391, aux.acc_seg: 71.6945, loss: 0.9959 2023-11-13 16:08:01,077 - mmseg - INFO - Saving checkpoint at 5000 iterations 2023-11-13 16:08:03,710 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:08:03,710 - mmseg - INFO - Iter [5000/160000] lr: 5.813e-05, eta: 10:41:02, time: 0.286, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6778, decode.acc_seg: 76.0857, aux.loss_ce: 0.3420, aux.acc_seg: 71.7309, loss: 1.0197 2023-11-13 16:08:15,387 - mmseg - INFO - Iter [5050/160000] lr: 5.811e-05, eta: 10:40:27, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6601, decode.acc_seg: 76.0473, aux.loss_ce: 0.3351, aux.acc_seg: 72.1911, loss: 0.9953 2023-11-13 16:08:29,563 - mmseg - INFO - Iter [5100/160000] lr: 5.809e-05, eta: 10:41:08, time: 0.284, data_time: 0.049, memory: 3898, decode.loss_ce: 0.6512, decode.acc_seg: 76.2373, aux.loss_ce: 0.3495, aux.acc_seg: 70.3832, loss: 1.0007 2023-11-13 16:08:41,601 - mmseg - INFO - Iter [5150/160000] lr: 5.807e-05, eta: 10:40:44, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6573, decode.acc_seg: 76.9404, aux.loss_ce: 0.3547, aux.acc_seg: 71.1961, loss: 1.0119 2023-11-13 16:08:53,978 - mmseg - INFO - Iter [5200/160000] lr: 5.805e-05, eta: 10:40:31, time: 0.248, data_time: 0.005, memory: 3898, decode.loss_ce: 0.6267, decode.acc_seg: 76.1997, aux.loss_ce: 0.3321, aux.acc_seg: 71.7070, loss: 0.9589 2023-11-13 16:09:05,939 - mmseg - INFO - Iter [5250/160000] lr: 5.803e-05, eta: 10:40:05, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6256, decode.acc_seg: 77.1924, aux.loss_ce: 0.3303, aux.acc_seg: 72.7836, loss: 0.9559 2023-11-13 16:09:18,092 - mmseg - INFO - Iter [5300/160000] lr: 5.801e-05, eta: 10:39:45, time: 0.243, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6325, decode.acc_seg: 77.3270, aux.loss_ce: 0.3305, aux.acc_seg: 73.1727, loss: 0.9630 2023-11-13 16:09:30,487 - mmseg - INFO - Iter [5350/160000] lr: 5.799e-05, eta: 10:39:33, time: 0.248, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6418, decode.acc_seg: 76.4744, aux.loss_ce: 0.3330, aux.acc_seg: 71.3602, loss: 0.9748 2023-11-13 16:09:42,151 - mmseg - INFO - Iter [5400/160000] lr: 5.798e-05, eta: 10:38:59, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6349, decode.acc_seg: 76.7714, aux.loss_ce: 0.3315, aux.acc_seg: 72.0522, loss: 0.9663 2023-11-13 16:09:53,861 - mmseg - INFO - Iter [5450/160000] lr: 5.796e-05, eta: 10:38:27, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6459, decode.acc_seg: 76.2348, aux.loss_ce: 0.3398, aux.acc_seg: 70.9712, loss: 0.9857 2023-11-13 16:10:06,717 - mmseg - INFO - Iter [5500/160000] lr: 5.794e-05, eta: 10:38:28, time: 0.257, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6653, decode.acc_seg: 76.4491, aux.loss_ce: 0.3521, aux.acc_seg: 71.2593, loss: 1.0174 2023-11-13 16:10:18,377 - mmseg - INFO - Iter [5550/160000] lr: 5.792e-05, eta: 10:37:55, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6407, decode.acc_seg: 76.8260, aux.loss_ce: 0.3300, aux.acc_seg: 72.4932, loss: 0.9707 2023-11-13 16:10:30,210 - mmseg - INFO - Iter [5600/160000] lr: 5.790e-05, eta: 10:37:27, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6809, decode.acc_seg: 75.4941, aux.loss_ce: 0.3504, aux.acc_seg: 70.6390, loss: 1.0313 2023-11-13 16:10:41,879 - mmseg - INFO - Iter [5650/160000] lr: 5.788e-05, eta: 10:36:55, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6510, decode.acc_seg: 76.6538, aux.loss_ce: 0.3406, aux.acc_seg: 72.1417, loss: 0.9916 2023-11-13 16:10:53,572 - mmseg - INFO - Iter [5700/160000] lr: 5.786e-05, eta: 10:36:24, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6126, decode.acc_seg: 77.7012, aux.loss_ce: 0.3191, aux.acc_seg: 73.0704, loss: 0.9317 2023-11-13 16:11:05,376 - mmseg - INFO - Iter [5750/160000] lr: 5.784e-05, eta: 10:35:56, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6086, decode.acc_seg: 77.5995, aux.loss_ce: 0.3175, aux.acc_seg: 73.1593, loss: 0.9261 2023-11-13 16:11:17,864 - mmseg - INFO - Iter [5800/160000] lr: 5.783e-05, eta: 10:35:46, time: 0.249, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6232, decode.acc_seg: 77.0994, aux.loss_ce: 0.3306, aux.acc_seg: 72.4644, loss: 0.9539 2023-11-13 16:11:30,029 - mmseg - INFO - Iter [5850/160000] lr: 5.781e-05, eta: 10:35:29, time: 0.244, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5836, decode.acc_seg: 78.8145, aux.loss_ce: 0.3000, aux.acc_seg: 74.7528, loss: 0.8835 2023-11-13 16:11:41,754 - mmseg - INFO - Iter [5900/160000] lr: 5.779e-05, eta: 10:35:00, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6536, decode.acc_seg: 76.5136, aux.loss_ce: 0.3266, aux.acc_seg: 72.9895, loss: 0.9803 2023-11-13 16:11:53,655 - mmseg - INFO - Iter [5950/160000] lr: 5.777e-05, eta: 10:34:36, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6396, decode.acc_seg: 76.7619, aux.loss_ce: 0.3273, aux.acc_seg: 72.9868, loss: 0.9669 2023-11-13 16:12:05,353 - mmseg - INFO - Saving checkpoint at 6000 iterations 2023-11-13 16:12:08,019 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:12:08,019 - mmseg - INFO - Iter [6000/160000] lr: 5.775e-05, eta: 10:35:15, time: 0.287, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6460, decode.acc_seg: 76.5735, aux.loss_ce: 0.3260, aux.acc_seg: 72.1627, loss: 0.9720 2023-11-13 16:12:19,960 - mmseg - INFO - Iter [6050/160000] lr: 5.773e-05, eta: 10:34:52, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6363, decode.acc_seg: 77.1336, aux.loss_ce: 0.3237, aux.acc_seg: 72.9405, loss: 0.9600 2023-11-13 16:12:31,669 - mmseg - INFO - Iter [6100/160000] lr: 5.771e-05, eta: 10:34:22, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6096, decode.acc_seg: 76.6590, aux.loss_ce: 0.3019, aux.acc_seg: 73.4026, loss: 0.9115 2023-11-13 16:12:43,409 - mmseg - INFO - Iter [6150/160000] lr: 5.769e-05, eta: 10:33:54, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6415, decode.acc_seg: 77.0775, aux.loss_ce: 0.3213, aux.acc_seg: 73.7148, loss: 0.9627 2023-11-13 16:12:55,834 - mmseg - INFO - Iter [6200/160000] lr: 5.768e-05, eta: 10:33:44, time: 0.249, data_time: 0.005, memory: 3898, decode.loss_ce: 0.6211, decode.acc_seg: 77.8911, aux.loss_ce: 0.3208, aux.acc_seg: 73.2453, loss: 0.9419 2023-11-13 16:13:07,484 - mmseg - INFO - Iter [6250/160000] lr: 5.766e-05, eta: 10:33:14, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6416, decode.acc_seg: 76.8608, aux.loss_ce: 0.3298, aux.acc_seg: 72.6578, loss: 0.9714 2023-11-13 16:13:19,242 - mmseg - INFO - Iter [6300/160000] lr: 5.764e-05, eta: 10:32:47, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6291, decode.acc_seg: 77.5579, aux.loss_ce: 0.3196, aux.acc_seg: 73.1160, loss: 0.9488 2023-11-13 16:13:33,571 - mmseg - INFO - Iter [6350/160000] lr: 5.762e-05, eta: 10:33:22, time: 0.287, data_time: 0.049, memory: 3898, decode.loss_ce: 0.6154, decode.acc_seg: 77.2453, aux.loss_ce: 0.3139, aux.acc_seg: 73.3636, loss: 0.9293 2023-11-13 16:13:45,990 - mmseg - INFO - Iter [6400/160000] lr: 5.760e-05, eta: 10:33:11, time: 0.248, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6203, decode.acc_seg: 77.1920, aux.loss_ce: 0.3260, aux.acc_seg: 72.3984, loss: 0.9463 2023-11-13 16:13:57,937 - mmseg - INFO - Iter [6450/160000] lr: 5.758e-05, eta: 10:32:49, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5939, decode.acc_seg: 77.7321, aux.loss_ce: 0.3088, aux.acc_seg: 73.5995, loss: 0.9027 2023-11-13 16:14:09,633 - mmseg - INFO - Iter [6500/160000] lr: 5.756e-05, eta: 10:32:21, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5749, decode.acc_seg: 78.5856, aux.loss_ce: 0.2949, aux.acc_seg: 74.9121, loss: 0.8698 2023-11-13 16:14:21,458 - mmseg - INFO - Iter [6550/160000] lr: 5.754e-05, eta: 10:31:56, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6017, decode.acc_seg: 78.5818, aux.loss_ce: 0.3221, aux.acc_seg: 73.4981, loss: 0.9238 2023-11-13 16:14:33,090 - mmseg - INFO - Iter [6600/160000] lr: 5.753e-05, eta: 10:31:27, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6054, decode.acc_seg: 77.3688, aux.loss_ce: 0.3086, aux.acc_seg: 73.4731, loss: 0.9140 2023-11-13 16:14:46,037 - mmseg - INFO - Iter [6650/160000] lr: 5.751e-05, eta: 10:31:27, time: 0.258, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6032, decode.acc_seg: 78.0936, aux.loss_ce: 0.3128, aux.acc_seg: 73.5776, loss: 0.9160 2023-11-13 16:14:58,134 - mmseg - INFO - Iter [6700/160000] lr: 5.749e-05, eta: 10:31:10, time: 0.242, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5899, decode.acc_seg: 78.1928, aux.loss_ce: 0.2982, aux.acc_seg: 74.1174, loss: 0.8881 2023-11-13 16:15:09,795 - mmseg - INFO - Iter [6750/160000] lr: 5.747e-05, eta: 10:30:42, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5669, decode.acc_seg: 79.5366, aux.loss_ce: 0.2971, aux.acc_seg: 74.8511, loss: 0.8640 2023-11-13 16:15:21,644 - mmseg - INFO - Iter [6800/160000] lr: 5.745e-05, eta: 10:30:18, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5863, decode.acc_seg: 78.2306, aux.loss_ce: 0.2968, aux.acc_seg: 74.7380, loss: 0.8831 2023-11-13 16:15:33,305 - mmseg - INFO - Iter [6850/160000] lr: 5.743e-05, eta: 10:29:51, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6210, decode.acc_seg: 77.3558, aux.loss_ce: 0.3128, aux.acc_seg: 73.3065, loss: 0.9338 2023-11-13 16:15:45,521 - mmseg - INFO - Iter [6900/160000] lr: 5.741e-05, eta: 10:29:35, time: 0.244, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6075, decode.acc_seg: 77.9243, aux.loss_ce: 0.3039, aux.acc_seg: 74.7315, loss: 0.9115 2023-11-13 16:15:57,389 - mmseg - INFO - Iter [6950/160000] lr: 5.739e-05, eta: 10:29:13, time: 0.238, data_time: 0.005, memory: 3898, decode.loss_ce: 0.6161, decode.acc_seg: 78.0527, aux.loss_ce: 0.3097, aux.acc_seg: 74.4221, loss: 0.9257 2023-11-13 16:16:09,170 - mmseg - INFO - Saving checkpoint at 7000 iterations 2023-11-13 16:16:11,764 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:16:11,764 - mmseg - INFO - Iter [7000/160000] lr: 5.738e-05, eta: 10:29:45, time: 0.288, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5825, decode.acc_seg: 78.4478, aux.loss_ce: 0.2972, aux.acc_seg: 74.4294, loss: 0.8797 2023-11-13 16:16:23,458 - mmseg - INFO - Iter [7050/160000] lr: 5.736e-05, eta: 10:29:19, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6582, decode.acc_seg: 76.9160, aux.loss_ce: 0.3148, aux.acc_seg: 73.9675, loss: 0.9730 2023-11-13 16:16:35,540 - mmseg - INFO - Iter [7100/160000] lr: 5.734e-05, eta: 10:29:01, time: 0.242, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5688, decode.acc_seg: 79.2828, aux.loss_ce: 0.3003, aux.acc_seg: 74.7891, loss: 0.8691 2023-11-13 16:16:48,469 - mmseg - INFO - Iter [7150/160000] lr: 5.732e-05, eta: 10:29:01, time: 0.259, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5927, decode.acc_seg: 77.9084, aux.loss_ce: 0.3001, aux.acc_seg: 74.1011, loss: 0.8927 2023-11-13 16:17:00,628 - mmseg - INFO - Iter [7200/160000] lr: 5.730e-05, eta: 10:28:45, time: 0.243, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5884, decode.acc_seg: 77.8628, aux.loss_ce: 0.2998, aux.acc_seg: 73.9984, loss: 0.8883 2023-11-13 16:17:12,665 - mmseg - INFO - Iter [7250/160000] lr: 5.728e-05, eta: 10:28:26, time: 0.241, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5775, decode.acc_seg: 78.4894, aux.loss_ce: 0.2959, aux.acc_seg: 74.3818, loss: 0.8734 2023-11-13 16:17:24,774 - mmseg - INFO - Iter [7300/160000] lr: 5.726e-05, eta: 10:28:09, time: 0.242, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6116, decode.acc_seg: 77.5954, aux.loss_ce: 0.3099, aux.acc_seg: 73.7247, loss: 0.9215 2023-11-13 16:17:36,550 - mmseg - INFO - Iter [7350/160000] lr: 5.724e-05, eta: 10:27:44, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6119, decode.acc_seg: 78.1941, aux.loss_ce: 0.3118, aux.acc_seg: 73.3449, loss: 0.9237 2023-11-13 16:17:48,467 - mmseg - INFO - Iter [7400/160000] lr: 5.723e-05, eta: 10:27:23, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6217, decode.acc_seg: 76.5316, aux.loss_ce: 0.3110, aux.acc_seg: 72.7931, loss: 0.9327 2023-11-13 16:18:00,555 - mmseg - INFO - Iter [7450/160000] lr: 5.721e-05, eta: 10:27:05, time: 0.241, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5966, decode.acc_seg: 77.8849, aux.loss_ce: 0.3036, aux.acc_seg: 74.0770, loss: 0.9002 2023-11-13 16:18:12,256 - mmseg - INFO - Iter [7500/160000] lr: 5.719e-05, eta: 10:26:41, time: 0.235, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5921, decode.acc_seg: 77.7652, aux.loss_ce: 0.2983, aux.acc_seg: 74.1190, loss: 0.8904 2023-11-13 16:18:23,951 - mmseg - INFO - Iter [7550/160000] lr: 5.717e-05, eta: 10:26:16, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5737, decode.acc_seg: 78.6307, aux.loss_ce: 0.2940, aux.acc_seg: 74.3786, loss: 0.8677 2023-11-13 16:18:38,550 - mmseg - INFO - Iter [7600/160000] lr: 5.715e-05, eta: 10:26:48, time: 0.291, data_time: 0.049, memory: 3898, decode.loss_ce: 0.5722, decode.acc_seg: 78.4452, aux.loss_ce: 0.2943, aux.acc_seg: 74.4857, loss: 0.8666 2023-11-13 16:18:50,711 - mmseg - INFO - Iter [7650/160000] lr: 5.713e-05, eta: 10:26:33, time: 0.244, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5690, decode.acc_seg: 79.0781, aux.loss_ce: 0.2937, aux.acc_seg: 74.9165, loss: 0.8627 2023-11-13 16:19:02,534 - mmseg - INFO - Iter [7700/160000] lr: 5.711e-05, eta: 10:26:11, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5443, decode.acc_seg: 79.3896, aux.loss_ce: 0.2818, aux.acc_seg: 75.5681, loss: 0.8261 2023-11-13 16:19:14,211 - mmseg - INFO - Iter [7750/160000] lr: 5.709e-05, eta: 10:25:45, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5776, decode.acc_seg: 77.8799, aux.loss_ce: 0.2943, aux.acc_seg: 73.9006, loss: 0.8719 2023-11-13 16:19:25,887 - mmseg - INFO - Iter [7800/160000] lr: 5.708e-05, eta: 10:25:20, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5515, decode.acc_seg: 78.8713, aux.loss_ce: 0.2835, aux.acc_seg: 75.1829, loss: 0.8350 2023-11-13 16:19:38,186 - mmseg - INFO - Iter [7850/160000] lr: 5.706e-05, eta: 10:25:07, time: 0.246, data_time: 0.004, memory: 3898, decode.loss_ce: 0.6032, decode.acc_seg: 77.5064, aux.loss_ce: 0.3050, aux.acc_seg: 73.9496, loss: 0.9083 2023-11-13 16:19:50,292 - mmseg - INFO - Iter [7900/160000] lr: 5.704e-05, eta: 10:24:51, time: 0.242, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5600, decode.acc_seg: 79.8464, aux.loss_ce: 0.2829, aux.acc_seg: 76.1187, loss: 0.8429 2023-11-13 16:20:02,274 - mmseg - INFO - Iter [7950/160000] lr: 5.702e-05, eta: 10:24:31, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5929, decode.acc_seg: 78.3356, aux.loss_ce: 0.3016, aux.acc_seg: 73.8610, loss: 0.8945 2023-11-13 16:20:14,386 - mmseg - INFO - Saving checkpoint at 8000 iterations 2023-11-13 16:20:17,000 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:20:17,000 - mmseg - INFO - Iter [8000/160000] lr: 5.700e-05, eta: 10:25:05, time: 0.295, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5820, decode.acc_seg: 79.1084, aux.loss_ce: 0.2935, aux.acc_seg: 75.4906, loss: 0.8756 2023-11-13 16:20:28,667 - mmseg - INFO - Iter [8050/160000] lr: 5.698e-05, eta: 10:24:40, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5803, decode.acc_seg: 78.7651, aux.loss_ce: 0.2959, aux.acc_seg: 74.1890, loss: 0.8762 2023-11-13 16:20:40,328 - mmseg - INFO - Iter [8100/160000] lr: 5.696e-05, eta: 10:24:15, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5284, decode.acc_seg: 80.2506, aux.loss_ce: 0.2709, aux.acc_seg: 76.5254, loss: 0.7993 2023-11-13 16:20:52,086 - mmseg - INFO - Iter [8150/160000] lr: 5.694e-05, eta: 10:23:52, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5364, decode.acc_seg: 80.0256, aux.loss_ce: 0.2788, aux.acc_seg: 75.8198, loss: 0.8152 2023-11-13 16:21:03,910 - mmseg - INFO - Iter [8200/160000] lr: 5.693e-05, eta: 10:23:30, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5832, decode.acc_seg: 78.6228, aux.loss_ce: 0.2937, aux.acc_seg: 74.5057, loss: 0.8769 2023-11-13 16:21:16,798 - mmseg - INFO - Iter [8250/160000] lr: 5.691e-05, eta: 10:23:29, time: 0.258, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5729, decode.acc_seg: 79.0715, aux.loss_ce: 0.2844, aux.acc_seg: 76.0287, loss: 0.8574 2023-11-13 16:21:28,721 - mmseg - INFO - Iter [8300/160000] lr: 5.689e-05, eta: 10:23:09, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5602, decode.acc_seg: 79.3111, aux.loss_ce: 0.2843, aux.acc_seg: 75.5381, loss: 0.8445 2023-11-13 16:21:40,474 - mmseg - INFO - Iter [8350/160000] lr: 5.687e-05, eta: 10:22:46, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5487, decode.acc_seg: 78.7696, aux.loss_ce: 0.2742, aux.acc_seg: 75.3552, loss: 0.8230 2023-11-13 16:21:52,411 - mmseg - INFO - Iter [8400/160000] lr: 5.685e-05, eta: 10:22:27, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5933, decode.acc_seg: 78.4711, aux.loss_ce: 0.2982, aux.acc_seg: 74.4904, loss: 0.8915 2023-11-13 16:22:04,839 - mmseg - INFO - Iter [8450/160000] lr: 5.683e-05, eta: 10:22:17, time: 0.249, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5590, decode.acc_seg: 79.1562, aux.loss_ce: 0.2837, aux.acc_seg: 75.6899, loss: 0.8427 2023-11-13 16:22:16,440 - mmseg - INFO - Iter [8500/160000] lr: 5.681e-05, eta: 10:21:52, time: 0.232, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5523, decode.acc_seg: 79.5345, aux.loss_ce: 0.2776, aux.acc_seg: 75.6519, loss: 0.8300 2023-11-13 16:22:28,036 - mmseg - INFO - Iter [8550/160000] lr: 5.679e-05, eta: 10:21:27, time: 0.232, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5547, decode.acc_seg: 78.8728, aux.loss_ce: 0.2783, aux.acc_seg: 75.4145, loss: 0.8331 2023-11-13 16:22:40,197 - mmseg - INFO - Iter [8600/160000] lr: 5.678e-05, eta: 10:21:12, time: 0.243, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5714, decode.acc_seg: 78.5953, aux.loss_ce: 0.2876, aux.acc_seg: 74.5267, loss: 0.8589 2023-11-13 16:22:51,876 - mmseg - INFO - Iter [8650/160000] lr: 5.676e-05, eta: 10:20:48, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5677, decode.acc_seg: 79.6083, aux.loss_ce: 0.2899, aux.acc_seg: 75.4176, loss: 0.8576 2023-11-13 16:23:03,605 - mmseg - INFO - Iter [8700/160000] lr: 5.674e-05, eta: 10:20:26, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5212, decode.acc_seg: 79.8810, aux.loss_ce: 0.2644, aux.acc_seg: 76.3006, loss: 0.7856 2023-11-13 16:23:15,359 - mmseg - INFO - Iter [8750/160000] lr: 5.672e-05, eta: 10:20:04, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5795, decode.acc_seg: 77.2447, aux.loss_ce: 0.2853, aux.acc_seg: 74.2083, loss: 0.8648 2023-11-13 16:23:27,256 - mmseg - INFO - Iter [8800/160000] lr: 5.670e-05, eta: 10:19:45, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5359, decode.acc_seg: 79.6372, aux.loss_ce: 0.2706, aux.acc_seg: 76.0010, loss: 0.8064 2023-11-13 16:23:41,998 - mmseg - INFO - Iter [8850/160000] lr: 5.668e-05, eta: 10:20:15, time: 0.295, data_time: 0.049, memory: 3898, decode.loss_ce: 0.5662, decode.acc_seg: 78.9166, aux.loss_ce: 0.2768, aux.acc_seg: 75.8589, loss: 0.8430 2023-11-13 16:23:53,854 - mmseg - INFO - Iter [8900/160000] lr: 5.666e-05, eta: 10:19:55, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5205, decode.acc_seg: 79.8855, aux.loss_ce: 0.2677, aux.acc_seg: 76.2297, loss: 0.7882 2023-11-13 16:24:05,676 - mmseg - INFO - Iter [8950/160000] lr: 5.664e-05, eta: 10:19:34, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5513, decode.acc_seg: 79.3504, aux.loss_ce: 0.2809, aux.acc_seg: 75.6330, loss: 0.8322 2023-11-13 16:24:17,352 - mmseg - INFO - Saving checkpoint at 9000 iterations 2023-11-13 16:24:19,870 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:24:19,870 - mmseg - INFO - Iter [9000/160000] lr: 5.663e-05, eta: 10:19:53, time: 0.284, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5573, decode.acc_seg: 79.9511, aux.loss_ce: 0.2850, aux.acc_seg: 75.8672, loss: 0.8423 2023-11-13 16:24:31,667 - mmseg - INFO - Iter [9050/160000] lr: 5.661e-05, eta: 10:19:32, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5318, decode.acc_seg: 79.8155, aux.loss_ce: 0.2781, aux.acc_seg: 75.7849, loss: 0.8099 2023-11-13 16:24:44,506 - mmseg - INFO - Iter [9100/160000] lr: 5.659e-05, eta: 10:19:29, time: 0.257, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5384, decode.acc_seg: 79.7803, aux.loss_ce: 0.2769, aux.acc_seg: 75.8476, loss: 0.8153 2023-11-13 16:24:57,165 - mmseg - INFO - Iter [9150/160000] lr: 5.657e-05, eta: 10:19:22, time: 0.253, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5329, decode.acc_seg: 79.4851, aux.loss_ce: 0.2716, aux.acc_seg: 75.7255, loss: 0.8044 2023-11-13 16:25:08,933 - mmseg - INFO - Iter [9200/160000] lr: 5.655e-05, eta: 10:19:01, time: 0.236, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5393, decode.acc_seg: 79.6085, aux.loss_ce: 0.2815, aux.acc_seg: 74.9264, loss: 0.8207 2023-11-13 16:25:20,837 - mmseg - INFO - Iter [9250/160000] lr: 5.653e-05, eta: 10:18:42, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5433, decode.acc_seg: 79.1041, aux.loss_ce: 0.2690, aux.acc_seg: 75.9902, loss: 0.8123 2023-11-13 16:25:32,476 - mmseg - INFO - Iter [9300/160000] lr: 5.651e-05, eta: 10:18:19, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5268, decode.acc_seg: 80.3062, aux.loss_ce: 0.2637, aux.acc_seg: 77.6424, loss: 0.7906 2023-11-13 16:25:44,140 - mmseg - INFO - Iter [9350/160000] lr: 5.649e-05, eta: 10:17:56, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5144, decode.acc_seg: 80.4048, aux.loss_ce: 0.2605, aux.acc_seg: 76.7246, loss: 0.7749 2023-11-13 16:25:55,866 - mmseg - INFO - Iter [9400/160000] lr: 5.648e-05, eta: 10:17:34, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5286, decode.acc_seg: 79.8833, aux.loss_ce: 0.2664, aux.acc_seg: 76.0663, loss: 0.7949 2023-11-13 16:26:07,953 - mmseg - INFO - Iter [9450/160000] lr: 5.646e-05, eta: 10:17:19, time: 0.242, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5190, decode.acc_seg: 79.8849, aux.loss_ce: 0.2636, aux.acc_seg: 76.2824, loss: 0.7826 2023-11-13 16:26:21,178 - mmseg - INFO - Iter [9500/160000] lr: 5.644e-05, eta: 10:17:20, time: 0.264, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5998, decode.acc_seg: 77.4556, aux.loss_ce: 0.2975, aux.acc_seg: 73.5596, loss: 0.8973 2023-11-13 16:26:33,242 - mmseg - INFO - Iter [9550/160000] lr: 5.642e-05, eta: 10:17:05, time: 0.242, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5395, decode.acc_seg: 79.5933, aux.loss_ce: 0.2735, aux.acc_seg: 75.9936, loss: 0.8131 2023-11-13 16:26:45,689 - mmseg - INFO - Iter [9600/160000] lr: 5.640e-05, eta: 10:16:55, time: 0.249, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5570, decode.acc_seg: 79.7028, aux.loss_ce: 0.2770, aux.acc_seg: 75.4888, loss: 0.8341 2023-11-13 16:26:57,412 - mmseg - INFO - Iter [9650/160000] lr: 5.638e-05, eta: 10:16:33, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5647, decode.acc_seg: 78.7651, aux.loss_ce: 0.2816, aux.acc_seg: 75.0761, loss: 0.8463 2023-11-13 16:27:09,129 - mmseg - INFO - Iter [9700/160000] lr: 5.636e-05, eta: 10:16:12, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5479, decode.acc_seg: 79.6528, aux.loss_ce: 0.2683, aux.acc_seg: 76.5285, loss: 0.8162 2023-11-13 16:27:20,836 - mmseg - INFO - Iter [9750/160000] lr: 5.634e-05, eta: 10:15:50, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5369, decode.acc_seg: 79.7438, aux.loss_ce: 0.2735, aux.acc_seg: 76.0047, loss: 0.8104 2023-11-13 16:27:33,275 - mmseg - INFO - Iter [9800/160000] lr: 5.633e-05, eta: 10:15:40, time: 0.249, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5374, decode.acc_seg: 79.2445, aux.loss_ce: 0.2712, aux.acc_seg: 75.6278, loss: 0.8086 2023-11-13 16:27:45,001 - mmseg - INFO - Iter [9850/160000] lr: 5.631e-05, eta: 10:15:19, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5208, decode.acc_seg: 80.5014, aux.loss_ce: 0.2602, aux.acc_seg: 77.1977, loss: 0.7811 2023-11-13 16:27:56,869 - mmseg - INFO - Iter [9900/160000] lr: 5.629e-05, eta: 10:15:01, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5643, decode.acc_seg: 78.5353, aux.loss_ce: 0.2729, aux.acc_seg: 75.6731, loss: 0.8372 2023-11-13 16:28:09,136 - mmseg - INFO - Iter [9950/160000] lr: 5.627e-05, eta: 10:14:48, time: 0.245, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5224, decode.acc_seg: 80.1534, aux.loss_ce: 0.2667, aux.acc_seg: 76.3321, loss: 0.7891 2023-11-13 16:28:21,470 - mmseg - INFO - Saving checkpoint at 10000 iterations 2023-11-13 16:28:24,162 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:28:24,162 - mmseg - INFO - Iter [10000/160000] lr: 5.625e-05, eta: 10:15:17, time: 0.301, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5392, decode.acc_seg: 79.3247, aux.loss_ce: 0.2639, aux.acc_seg: 76.5459, loss: 0.8031 2023-11-13 16:28:36,110 - mmseg - INFO - Iter [10050/160000] lr: 5.623e-05, eta: 10:14:59, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5131, decode.acc_seg: 79.8374, aux.loss_ce: 0.2578, aux.acc_seg: 76.6425, loss: 0.7709 2023-11-13 16:28:48,062 - mmseg - INFO - Iter [10100/160000] lr: 5.621e-05, eta: 10:14:41, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5275, decode.acc_seg: 80.0104, aux.loss_ce: 0.2672, aux.acc_seg: 76.6056, loss: 0.7947 2023-11-13 16:29:03,098 - mmseg - INFO - Iter [10150/160000] lr: 5.619e-05, eta: 10:15:09, time: 0.301, data_time: 0.048, memory: 3898, decode.loss_ce: 0.4809, decode.acc_seg: 80.9929, aux.loss_ce: 0.2481, aux.acc_seg: 76.8480, loss: 0.7290 2023-11-13 16:29:15,175 - mmseg - INFO - Iter [10200/160000] lr: 5.618e-05, eta: 10:14:54, time: 0.242, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4980, decode.acc_seg: 80.2756, aux.loss_ce: 0.2600, aux.acc_seg: 76.3363, loss: 0.7580 2023-11-13 16:29:27,085 - mmseg - INFO - Iter [10250/160000] lr: 5.616e-05, eta: 10:14:35, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5166, decode.acc_seg: 81.0433, aux.loss_ce: 0.2680, aux.acc_seg: 76.9077, loss: 0.7846 2023-11-13 16:29:38,738 - mmseg - INFO - Iter [10300/160000] lr: 5.614e-05, eta: 10:14:14, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5081, decode.acc_seg: 80.5959, aux.loss_ce: 0.2586, aux.acc_seg: 77.0375, loss: 0.7666 2023-11-13 16:29:50,492 - mmseg - INFO - Iter [10350/160000] lr: 5.612e-05, eta: 10:13:53, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4897, decode.acc_seg: 81.2719, aux.loss_ce: 0.2531, aux.acc_seg: 77.2469, loss: 0.7428 2023-11-13 16:30:02,220 - mmseg - INFO - Iter [10400/160000] lr: 5.610e-05, eta: 10:13:32, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5430, decode.acc_seg: 79.2401, aux.loss_ce: 0.2757, aux.acc_seg: 75.9020, loss: 0.8188 2023-11-13 16:30:13,878 - mmseg - INFO - Iter [10450/160000] lr: 5.608e-05, eta: 10:13:11, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5100, decode.acc_seg: 80.7403, aux.loss_ce: 0.2571, aux.acc_seg: 77.3747, loss: 0.7672 2023-11-13 16:30:25,525 - mmseg - INFO - Iter [10500/160000] lr: 5.606e-05, eta: 10:12:49, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5150, decode.acc_seg: 80.7339, aux.loss_ce: 0.2686, aux.acc_seg: 75.9991, loss: 0.7835 2023-11-13 16:30:37,296 - mmseg - INFO - Iter [10550/160000] lr: 5.604e-05, eta: 10:12:30, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5044, decode.acc_seg: 80.7665, aux.loss_ce: 0.2563, aux.acc_seg: 77.2491, loss: 0.7607 2023-11-13 16:30:49,160 - mmseg - INFO - Iter [10600/160000] lr: 5.603e-05, eta: 10:12:11, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5190, decode.acc_seg: 80.0789, aux.loss_ce: 0.2566, aux.acc_seg: 77.1463, loss: 0.7756 2023-11-13 16:31:00,842 - mmseg - INFO - Iter [10650/160000] lr: 5.601e-05, eta: 10:11:50, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5183, decode.acc_seg: 80.4662, aux.loss_ce: 0.2616, aux.acc_seg: 76.7292, loss: 0.7798 2023-11-13 16:31:13,452 - mmseg - INFO - Iter [10700/160000] lr: 5.599e-05, eta: 10:11:42, time: 0.252, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5210, decode.acc_seg: 80.2866, aux.loss_ce: 0.2614, aux.acc_seg: 76.3131, loss: 0.7823 2023-11-13 16:31:25,600 - mmseg - INFO - Iter [10750/160000] lr: 5.597e-05, eta: 10:11:28, time: 0.243, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4985, decode.acc_seg: 81.6244, aux.loss_ce: 0.2488, aux.acc_seg: 78.1797, loss: 0.7473 2023-11-13 16:31:37,534 - mmseg - INFO - Iter [10800/160000] lr: 5.595e-05, eta: 10:11:11, time: 0.239, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5476, decode.acc_seg: 79.0891, aux.loss_ce: 0.2743, aux.acc_seg: 75.7485, loss: 0.8219 2023-11-13 16:31:50,494 - mmseg - INFO - Iter [10850/160000] lr: 5.593e-05, eta: 10:11:08, time: 0.259, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5187, decode.acc_seg: 80.1979, aux.loss_ce: 0.2598, aux.acc_seg: 76.6108, loss: 0.7785 2023-11-13 16:32:02,435 - mmseg - INFO - Iter [10900/160000] lr: 5.591e-05, eta: 10:10:51, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5426, decode.acc_seg: 79.5487, aux.loss_ce: 0.2749, aux.acc_seg: 75.6040, loss: 0.8174 2023-11-13 16:32:14,474 - mmseg - INFO - Iter [10950/160000] lr: 5.589e-05, eta: 10:10:35, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5245, decode.acc_seg: 79.8655, aux.loss_ce: 0.2613, aux.acc_seg: 76.8846, loss: 0.7858 2023-11-13 16:32:26,442 - mmseg - INFO - Saving checkpoint at 11000 iterations 2023-11-13 16:32:29,024 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:32:29,024 - mmseg - INFO - Iter [11000/160000] lr: 5.588e-05, eta: 10:10:53, time: 0.292, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5573, decode.acc_seg: 79.4798, aux.loss_ce: 0.2770, aux.acc_seg: 76.1143, loss: 0.8343 2023-11-13 16:32:41,674 - mmseg - INFO - Iter [11050/160000] lr: 5.586e-05, eta: 10:10:46, time: 0.253, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5051, decode.acc_seg: 80.4131, aux.loss_ce: 0.2519, aux.acc_seg: 77.0175, loss: 0.7570 2023-11-13 16:32:53,833 - mmseg - INFO - Iter [11100/160000] lr: 5.584e-05, eta: 10:10:32, time: 0.243, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5131, decode.acc_seg: 80.5134, aux.loss_ce: 0.2587, aux.acc_seg: 76.9309, loss: 0.7718 2023-11-13 16:33:05,573 - mmseg - INFO - Iter [11150/160000] lr: 5.582e-05, eta: 10:10:12, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5298, decode.acc_seg: 80.6984, aux.loss_ce: 0.2617, aux.acc_seg: 76.8845, loss: 0.7915 2023-11-13 16:33:17,179 - mmseg - INFO - Iter [11200/160000] lr: 5.580e-05, eta: 10:09:50, time: 0.232, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4915, decode.acc_seg: 81.2166, aux.loss_ce: 0.2504, aux.acc_seg: 77.5555, loss: 0.7419 2023-11-13 16:33:29,073 - mmseg - INFO - Iter [11250/160000] lr: 5.578e-05, eta: 10:09:33, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5452, decode.acc_seg: 79.0729, aux.loss_ce: 0.2666, aux.acc_seg: 75.9824, loss: 0.8119 2023-11-13 16:33:40,897 - mmseg - INFO - Iter [11300/160000] lr: 5.576e-05, eta: 10:09:14, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5647, decode.acc_seg: 78.7745, aux.loss_ce: 0.2787, aux.acc_seg: 75.7051, loss: 0.8433 2023-11-13 16:33:52,557 - mmseg - INFO - Iter [11350/160000] lr: 5.574e-05, eta: 10:08:54, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5048, decode.acc_seg: 80.9945, aux.loss_ce: 0.2496, aux.acc_seg: 77.2974, loss: 0.7544 2023-11-13 16:34:07,097 - mmseg - INFO - Iter [11400/160000] lr: 5.573e-05, eta: 10:09:11, time: 0.291, data_time: 0.049, memory: 3898, decode.loss_ce: 0.4898, decode.acc_seg: 81.1647, aux.loss_ce: 0.2504, aux.acc_seg: 77.4963, loss: 0.7403 2023-11-13 16:34:18,873 - mmseg - INFO - Iter [11450/160000] lr: 5.571e-05, eta: 10:08:51, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4967, decode.acc_seg: 80.9267, aux.loss_ce: 0.2542, aux.acc_seg: 77.0778, loss: 0.7509 2023-11-13 16:34:30,558 - mmseg - INFO - Iter [11500/160000] lr: 5.569e-05, eta: 10:08:32, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5046, decode.acc_seg: 80.8640, aux.loss_ce: 0.2593, aux.acc_seg: 77.0999, loss: 0.7639 2023-11-13 16:34:43,659 - mmseg - INFO - Iter [11550/160000] lr: 5.567e-05, eta: 10:08:30, time: 0.262, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4985, decode.acc_seg: 81.4401, aux.loss_ce: 0.2485, aux.acc_seg: 77.9723, loss: 0.7470 2023-11-13 16:34:55,336 - mmseg - INFO - Iter [11600/160000] lr: 5.565e-05, eta: 10:08:09, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5196, decode.acc_seg: 79.8552, aux.loss_ce: 0.2661, aux.acc_seg: 76.0042, loss: 0.7857 2023-11-13 16:35:07,108 - mmseg - INFO - Iter [11650/160000] lr: 5.563e-05, eta: 10:07:50, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4611, decode.acc_seg: 81.8705, aux.loss_ce: 0.2364, aux.acc_seg: 78.0418, loss: 0.6975 2023-11-13 16:35:18,946 - mmseg - INFO - Iter [11700/160000] lr: 5.561e-05, eta: 10:07:32, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5136, decode.acc_seg: 80.9932, aux.loss_ce: 0.2608, aux.acc_seg: 77.3758, loss: 0.7744 2023-11-13 16:35:31,517 - mmseg - INFO - Iter [11750/160000] lr: 5.559e-05, eta: 10:07:24, time: 0.251, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5057, decode.acc_seg: 80.7908, aux.loss_ce: 0.2522, aux.acc_seg: 77.5328, loss: 0.7579 2023-11-13 16:35:43,247 - mmseg - INFO - Iter [11800/160000] lr: 5.558e-05, eta: 10:07:04, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4899, decode.acc_seg: 81.3599, aux.loss_ce: 0.2505, aux.acc_seg: 77.3759, loss: 0.7404 2023-11-13 16:35:55,014 - mmseg - INFO - Iter [11850/160000] lr: 5.556e-05, eta: 10:06:45, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5005, decode.acc_seg: 81.4114, aux.loss_ce: 0.2574, aux.acc_seg: 77.2634, loss: 0.7579 2023-11-13 16:36:06,670 - mmseg - INFO - Iter [11900/160000] lr: 5.554e-05, eta: 10:06:25, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4779, decode.acc_seg: 81.1143, aux.loss_ce: 0.2435, aux.acc_seg: 77.6557, loss: 0.7213 2023-11-13 16:36:18,447 - mmseg - INFO - Iter [11950/160000] lr: 5.552e-05, eta: 10:06:07, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4383, decode.acc_seg: 82.7605, aux.loss_ce: 0.2238, aux.acc_seg: 79.4879, loss: 0.6621 2023-11-13 16:36:30,327 - mmseg - INFO - Saving checkpoint at 12000 iterations 2023-11-13 16:36:32,998 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:36:32,998 - mmseg - INFO - Iter [12000/160000] lr: 5.550e-05, eta: 10:06:22, time: 0.291, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4764, decode.acc_seg: 81.7364, aux.loss_ce: 0.2483, aux.acc_seg: 77.1966, loss: 0.7247 2023-11-13 16:36:46,597 - mmseg - INFO - Iter [12050/160000] lr: 5.548e-05, eta: 10:06:26, time: 0.271, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4917, decode.acc_seg: 80.4909, aux.loss_ce: 0.2463, aux.acc_seg: 77.2559, loss: 0.7379 2023-11-13 16:36:58,472 - mmseg - INFO - Iter [12100/160000] lr: 5.546e-05, eta: 10:06:09, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4972, decode.acc_seg: 81.0095, aux.loss_ce: 0.2521, aux.acc_seg: 77.7728, loss: 0.7492 2023-11-13 16:37:10,459 - mmseg - INFO - Iter [12150/160000] lr: 5.544e-05, eta: 10:05:53, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4942, decode.acc_seg: 80.6046, aux.loss_ce: 0.2516, aux.acc_seg: 76.8209, loss: 0.7458 2023-11-13 16:37:22,204 - mmseg - INFO - Iter [12200/160000] lr: 5.543e-05, eta: 10:05:34, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4997, decode.acc_seg: 80.7073, aux.loss_ce: 0.2477, aux.acc_seg: 77.4301, loss: 0.7474 2023-11-13 16:37:34,041 - mmseg - INFO - Iter [12250/160000] lr: 5.541e-05, eta: 10:05:16, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5083, decode.acc_seg: 80.4383, aux.loss_ce: 0.2557, aux.acc_seg: 77.1080, loss: 0.7641 2023-11-13 16:37:45,711 - mmseg - INFO - Iter [12300/160000] lr: 5.539e-05, eta: 10:04:56, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5223, decode.acc_seg: 80.4442, aux.loss_ce: 0.2586, aux.acc_seg: 77.1294, loss: 0.7810 2023-11-13 16:37:57,487 - mmseg - INFO - Iter [12350/160000] lr: 5.537e-05, eta: 10:04:38, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4954, decode.acc_seg: 80.8287, aux.loss_ce: 0.2546, aux.acc_seg: 77.0832, loss: 0.7499 2023-11-13 16:38:09,787 - mmseg - INFO - Iter [12400/160000] lr: 5.535e-05, eta: 10:04:25, time: 0.246, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4831, decode.acc_seg: 81.5251, aux.loss_ce: 0.2462, aux.acc_seg: 77.0153, loss: 0.7293 2023-11-13 16:38:21,509 - mmseg - INFO - Iter [12450/160000] lr: 5.533e-05, eta: 10:04:07, time: 0.235, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4775, decode.acc_seg: 81.7994, aux.loss_ce: 0.2444, aux.acc_seg: 77.6044, loss: 0.7219 2023-11-13 16:38:33,904 - mmseg - INFO - Iter [12500/160000] lr: 5.531e-05, eta: 10:03:56, time: 0.248, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5191, decode.acc_seg: 79.8027, aux.loss_ce: 0.2584, aux.acc_seg: 76.4600, loss: 0.7775 2023-11-13 16:38:46,422 - mmseg - INFO - Iter [12550/160000] lr: 5.529e-05, eta: 10:03:46, time: 0.250, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5043, decode.acc_seg: 80.5445, aux.loss_ce: 0.2539, aux.acc_seg: 76.9885, loss: 0.7582 2023-11-13 16:38:58,764 - mmseg - INFO - Iter [12600/160000] lr: 5.528e-05, eta: 10:03:35, time: 0.247, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4684, decode.acc_seg: 81.9913, aux.loss_ce: 0.2395, aux.acc_seg: 78.2370, loss: 0.7079 2023-11-13 16:39:12,708 - mmseg - INFO - Iter [12650/160000] lr: 5.526e-05, eta: 10:03:42, time: 0.279, data_time: 0.048, memory: 3898, decode.loss_ce: 0.4760, decode.acc_seg: 81.7387, aux.loss_ce: 0.2453, aux.acc_seg: 77.8677, loss: 0.7214 2023-11-13 16:39:24,384 - mmseg - INFO - Iter [12700/160000] lr: 5.524e-05, eta: 10:03:22, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4745, decode.acc_seg: 81.7737, aux.loss_ce: 0.2416, aux.acc_seg: 78.0059, loss: 0.7162 2023-11-13 16:39:36,185 - mmseg - INFO - Iter [12750/160000] lr: 5.522e-05, eta: 10:03:04, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4688, decode.acc_seg: 81.7768, aux.loss_ce: 0.2395, aux.acc_seg: 78.1715, loss: 0.7083 2023-11-13 16:39:47,896 - mmseg - INFO - Iter [12800/160000] lr: 5.520e-05, eta: 10:02:45, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4734, decode.acc_seg: 81.5795, aux.loss_ce: 0.2376, aux.acc_seg: 78.4318, loss: 0.7110 2023-11-13 16:39:59,926 - mmseg - INFO - Iter [12850/160000] lr: 5.518e-05, eta: 10:02:30, time: 0.241, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5010, decode.acc_seg: 81.5244, aux.loss_ce: 0.2581, aux.acc_seg: 77.5329, loss: 0.7591 2023-11-13 16:40:11,654 - mmseg - INFO - Iter [12900/160000] lr: 5.516e-05, eta: 10:02:12, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4699, decode.acc_seg: 82.2995, aux.loss_ce: 0.2441, aux.acc_seg: 77.9234, loss: 0.7140 2023-11-13 16:40:23,578 - mmseg - INFO - Iter [12950/160000] lr: 5.514e-05, eta: 10:01:55, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5051, decode.acc_seg: 80.3748, aux.loss_ce: 0.2553, aux.acc_seg: 76.6358, loss: 0.7605 2023-11-13 16:40:36,475 - mmseg - INFO - Saving checkpoint at 13000 iterations 2023-11-13 16:40:38,936 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:40:38,937 - mmseg - INFO - Iter [13000/160000] lr: 5.513e-05, eta: 10:02:18, time: 0.308, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4852, decode.acc_seg: 81.3515, aux.loss_ce: 0.2470, aux.acc_seg: 78.0910, loss: 0.7322 2023-11-13 16:40:51,405 - mmseg - INFO - Iter [13050/160000] lr: 5.511e-05, eta: 10:02:07, time: 0.249, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5080, decode.acc_seg: 80.9859, aux.loss_ce: 0.2536, aux.acc_seg: 77.1794, loss: 0.7616 2023-11-13 16:41:03,046 - mmseg - INFO - Iter [13100/160000] lr: 5.509e-05, eta: 10:01:48, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.5208, decode.acc_seg: 80.3410, aux.loss_ce: 0.2581, aux.acc_seg: 77.2706, loss: 0.7789 2023-11-13 16:41:14,948 - mmseg - INFO - Iter [13150/160000] lr: 5.507e-05, eta: 10:01:31, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4705, decode.acc_seg: 81.9409, aux.loss_ce: 0.2424, aux.acc_seg: 78.2837, loss: 0.7129 2023-11-13 16:41:26,711 - mmseg - INFO - Iter [13200/160000] lr: 5.505e-05, eta: 10:01:13, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4699, decode.acc_seg: 82.3073, aux.loss_ce: 0.2343, aux.acc_seg: 78.9092, loss: 0.7042 2023-11-13 16:41:38,642 - mmseg - INFO - Iter [13250/160000] lr: 5.503e-05, eta: 10:00:57, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4711, decode.acc_seg: 81.7091, aux.loss_ce: 0.2417, aux.acc_seg: 78.1141, loss: 0.7129 2023-11-13 16:41:50,618 - mmseg - INFO - Iter [13300/160000] lr: 5.501e-05, eta: 10:00:41, time: 0.239, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4811, decode.acc_seg: 81.6426, aux.loss_ce: 0.2409, aux.acc_seg: 78.5366, loss: 0.7220 2023-11-13 16:42:02,211 - mmseg - INFO - Iter [13350/160000] lr: 5.499e-05, eta: 10:00:21, time: 0.232, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4559, decode.acc_seg: 82.8585, aux.loss_ce: 0.2270, aux.acc_seg: 79.7580, loss: 0.6829 2023-11-13 16:42:13,823 - mmseg - INFO - Iter [13400/160000] lr: 5.498e-05, eta: 10:00:02, time: 0.232, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4833, decode.acc_seg: 81.5156, aux.loss_ce: 0.2399, aux.acc_seg: 78.1631, loss: 0.7231 2023-11-13 16:42:25,515 - mmseg - INFO - Iter [13450/160000] lr: 5.496e-05, eta: 9:59:43, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4847, decode.acc_seg: 81.7122, aux.loss_ce: 0.2426, aux.acc_seg: 78.4926, loss: 0.7273 2023-11-13 16:42:37,281 - mmseg - INFO - Iter [13500/160000] lr: 5.494e-05, eta: 9:59:25, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4969, decode.acc_seg: 80.3142, aux.loss_ce: 0.2550, aux.acc_seg: 76.4621, loss: 0.7518 2023-11-13 16:42:48,932 - mmseg - INFO - Iter [13550/160000] lr: 5.492e-05, eta: 9:59:06, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4874, decode.acc_seg: 81.3276, aux.loss_ce: 0.2463, aux.acc_seg: 77.6908, loss: 0.7336 2023-11-13 16:43:00,772 - mmseg - INFO - Iter [13600/160000] lr: 5.490e-05, eta: 9:58:49, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4808, decode.acc_seg: 81.4925, aux.loss_ce: 0.2456, aux.acc_seg: 77.5769, loss: 0.7264 2023-11-13 16:43:12,542 - mmseg - INFO - Iter [13650/160000] lr: 5.488e-05, eta: 9:58:32, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4677, decode.acc_seg: 81.6358, aux.loss_ce: 0.2303, aux.acc_seg: 78.4708, loss: 0.6980 2023-11-13 16:43:24,291 - mmseg - INFO - Iter [13700/160000] lr: 5.486e-05, eta: 9:58:14, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4738, decode.acc_seg: 81.6062, aux.loss_ce: 0.2385, aux.acc_seg: 78.6446, loss: 0.7123 2023-11-13 16:43:36,498 - mmseg - INFO - Iter [13750/160000] lr: 5.484e-05, eta: 9:58:01, time: 0.244, data_time: 0.005, memory: 3898, decode.loss_ce: 0.5015, decode.acc_seg: 80.9223, aux.loss_ce: 0.2516, aux.acc_seg: 77.1825, loss: 0.7531 2023-11-13 16:43:48,217 - mmseg - INFO - Iter [13800/160000] lr: 5.483e-05, eta: 9:57:43, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4684, decode.acc_seg: 82.0390, aux.loss_ce: 0.2363, aux.acc_seg: 78.4401, loss: 0.7047 2023-11-13 16:43:59,917 - mmseg - INFO - Iter [13850/160000] lr: 5.481e-05, eta: 9:57:24, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4887, decode.acc_seg: 81.0488, aux.loss_ce: 0.2447, aux.acc_seg: 77.2742, loss: 0.7334 2023-11-13 16:44:15,249 - mmseg - INFO - Iter [13900/160000] lr: 5.479e-05, eta: 9:57:44, time: 0.307, data_time: 0.050, memory: 3898, decode.loss_ce: 0.4500, decode.acc_seg: 82.1240, aux.loss_ce: 0.2285, aux.acc_seg: 78.1341, loss: 0.6785 2023-11-13 16:44:27,411 - mmseg - INFO - Iter [13950/160000] lr: 5.477e-05, eta: 9:57:31, time: 0.243, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4491, decode.acc_seg: 82.2746, aux.loss_ce: 0.2310, aux.acc_seg: 78.4846, loss: 0.6802 2023-11-13 16:44:39,475 - mmseg - INFO - Saving checkpoint at 14000 iterations 2023-11-13 16:44:42,165 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:44:42,165 - mmseg - INFO - Iter [14000/160000] lr: 5.475e-05, eta: 9:57:45, time: 0.295, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4440, decode.acc_seg: 82.3555, aux.loss_ce: 0.2300, aux.acc_seg: 78.4173, loss: 0.6740 2023-11-13 16:44:53,837 - mmseg - INFO - Iter [14050/160000] lr: 5.473e-05, eta: 9:57:26, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4555, decode.acc_seg: 82.5025, aux.loss_ce: 0.2346, aux.acc_seg: 78.6710, loss: 0.6901 2023-11-13 16:45:05,689 - mmseg - INFO - Iter [14100/160000] lr: 5.471e-05, eta: 9:57:09, time: 0.237, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4714, decode.acc_seg: 81.5809, aux.loss_ce: 0.2350, aux.acc_seg: 78.2538, loss: 0.7065 2023-11-13 16:45:17,427 - mmseg - INFO - Iter [14150/160000] lr: 5.469e-05, eta: 9:56:51, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4526, decode.acc_seg: 82.5724, aux.loss_ce: 0.2289, aux.acc_seg: 79.2702, loss: 0.6816 2023-11-13 16:45:29,232 - mmseg - INFO - Iter [14200/160000] lr: 5.468e-05, eta: 9:56:34, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4772, decode.acc_seg: 81.9061, aux.loss_ce: 0.2476, aux.acc_seg: 77.5141, loss: 0.7247 2023-11-13 16:45:41,110 - mmseg - INFO - Iter [14250/160000] lr: 5.466e-05, eta: 9:56:18, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4373, decode.acc_seg: 82.8170, aux.loss_ce: 0.2224, aux.acc_seg: 79.2169, loss: 0.6598 2023-11-13 16:45:52,717 - mmseg - INFO - Iter [14300/160000] lr: 5.464e-05, eta: 9:55:59, time: 0.232, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4181, decode.acc_seg: 83.2475, aux.loss_ce: 0.2153, aux.acc_seg: 79.7957, loss: 0.6333 2023-11-13 16:46:04,483 - mmseg - INFO - Iter [14350/160000] lr: 5.462e-05, eta: 9:55:42, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4632, decode.acc_seg: 82.2636, aux.loss_ce: 0.2382, aux.acc_seg: 78.7025, loss: 0.7014 2023-11-13 16:46:16,167 - mmseg - INFO - Iter [14400/160000] lr: 5.460e-05, eta: 9:55:23, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4627, decode.acc_seg: 82.2967, aux.loss_ce: 0.2391, aux.acc_seg: 78.7768, loss: 0.7018 2023-11-13 16:46:27,822 - mmseg - INFO - Iter [14450/160000] lr: 5.458e-05, eta: 9:55:05, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4677, decode.acc_seg: 81.7914, aux.loss_ce: 0.2427, aux.acc_seg: 77.8486, loss: 0.7103 2023-11-13 16:46:39,701 - mmseg - INFO - Iter [14500/160000] lr: 5.456e-05, eta: 9:54:49, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4449, decode.acc_seg: 82.5818, aux.loss_ce: 0.2317, aux.acc_seg: 78.9095, loss: 0.6765 2023-11-13 16:46:51,520 - mmseg - INFO - Iter [14550/160000] lr: 5.454e-05, eta: 9:54:32, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4995, decode.acc_seg: 82.0511, aux.loss_ce: 0.2480, aux.acc_seg: 78.8346, loss: 0.7474 2023-11-13 16:47:03,571 - mmseg - INFO - Iter [14600/160000] lr: 5.453e-05, eta: 9:54:17, time: 0.240, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4613, decode.acc_seg: 82.1191, aux.loss_ce: 0.2351, aux.acc_seg: 78.2796, loss: 0.6965 2023-11-13 16:47:15,819 - mmseg - INFO - Iter [14650/160000] lr: 5.451e-05, eta: 9:54:05, time: 0.245, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4742, decode.acc_seg: 82.2714, aux.loss_ce: 0.2383, aux.acc_seg: 78.5791, loss: 0.7125 2023-11-13 16:47:27,569 - mmseg - INFO - Iter [14700/160000] lr: 5.449e-05, eta: 9:53:48, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4788, decode.acc_seg: 81.1537, aux.loss_ce: 0.2331, aux.acc_seg: 78.2884, loss: 0.7119 2023-11-13 16:47:39,286 - mmseg - INFO - Iter [14750/160000] lr: 5.447e-05, eta: 9:53:30, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4496, decode.acc_seg: 82.3628, aux.loss_ce: 0.2284, aux.acc_seg: 78.8411, loss: 0.6780 2023-11-13 16:47:50,871 - mmseg - INFO - Iter [14800/160000] lr: 5.445e-05, eta: 9:53:11, time: 0.232, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4596, decode.acc_seg: 82.3418, aux.loss_ce: 0.2261, aux.acc_seg: 79.4016, loss: 0.6857 2023-11-13 16:48:02,705 - mmseg - INFO - Iter [14850/160000] lr: 5.443e-05, eta: 9:52:55, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4755, decode.acc_seg: 81.8210, aux.loss_ce: 0.2478, aux.acc_seg: 77.9563, loss: 0.7233 2023-11-13 16:48:14,369 - mmseg - INFO - Iter [14900/160000] lr: 5.441e-05, eta: 9:52:37, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4641, decode.acc_seg: 82.3181, aux.loss_ce: 0.2325, aux.acc_seg: 79.1148, loss: 0.6966 2023-11-13 16:48:25,958 - mmseg - INFO - Iter [14950/160000] lr: 5.439e-05, eta: 9:52:18, time: 0.232, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4608, decode.acc_seg: 81.7205, aux.loss_ce: 0.2337, aux.acc_seg: 78.3038, loss: 0.6945 2023-11-13 16:48:38,114 - mmseg - INFO - Saving checkpoint at 15000 iterations 2023-11-13 16:48:40,732 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:48:40,732 - mmseg - INFO - Iter [15000/160000] lr: 5.438e-05, eta: 9:52:30, time: 0.296, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4911, decode.acc_seg: 80.7813, aux.loss_ce: 0.2480, aux.acc_seg: 77.1840, loss: 0.7391 2023-11-13 16:48:53,877 - mmseg - INFO - Iter [15050/160000] lr: 5.436e-05, eta: 9:52:27, time: 0.263, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4700, decode.acc_seg: 81.8690, aux.loss_ce: 0.2388, aux.acc_seg: 78.1622, loss: 0.7087 2023-11-13 16:49:05,801 - mmseg - INFO - Iter [15100/160000] lr: 5.434e-05, eta: 9:52:11, time: 0.238, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4750, decode.acc_seg: 82.2090, aux.loss_ce: 0.2371, aux.acc_seg: 78.6952, loss: 0.7121 2023-11-13 16:49:17,932 - mmseg - INFO - Iter [15150/160000] lr: 5.432e-05, eta: 9:51:58, time: 0.243, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4926, decode.acc_seg: 81.4283, aux.loss_ce: 0.2509, aux.acc_seg: 77.0090, loss: 0.7435 2023-11-13 16:49:31,900 - mmseg - INFO - Iter [15200/160000] lr: 5.430e-05, eta: 9:52:02, time: 0.279, data_time: 0.049, memory: 3898, decode.loss_ce: 0.4541, decode.acc_seg: 82.5013, aux.loss_ce: 0.2387, aux.acc_seg: 78.1254, loss: 0.6928 2023-11-13 16:49:43,716 - mmseg - INFO - Iter [15250/160000] lr: 5.428e-05, eta: 9:51:45, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4415, decode.acc_seg: 82.6719, aux.loss_ce: 0.2267, aux.acc_seg: 79.0502, loss: 0.6682 2023-11-13 16:49:55,378 - mmseg - INFO - Iter [15300/160000] lr: 5.426e-05, eta: 9:51:27, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4170, decode.acc_seg: 83.4752, aux.loss_ce: 0.2122, aux.acc_seg: 80.1425, loss: 0.6292 2023-11-13 16:50:07,660 - mmseg - INFO - Iter [15350/160000] lr: 5.424e-05, eta: 9:51:15, time: 0.246, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4929, decode.acc_seg: 80.8564, aux.loss_ce: 0.2499, aux.acc_seg: 77.1481, loss: 0.7427 2023-11-13 16:50:19,479 - mmseg - INFO - Iter [15400/160000] lr: 5.423e-05, eta: 9:50:59, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4474, decode.acc_seg: 82.5609, aux.loss_ce: 0.2268, aux.acc_seg: 79.2871, loss: 0.6742 2023-11-13 16:50:31,285 - mmseg - INFO - Iter [15450/160000] lr: 5.421e-05, eta: 9:50:42, time: 0.236, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4457, decode.acc_seg: 82.1009, aux.loss_ce: 0.2296, aux.acc_seg: 78.9119, loss: 0.6753 2023-11-13 16:50:43,160 - mmseg - INFO - Iter [15500/160000] lr: 5.419e-05, eta: 9:50:26, time: 0.237, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4477, decode.acc_seg: 83.2316, aux.loss_ce: 0.2261, aux.acc_seg: 79.7339, loss: 0.6738 2023-11-13 16:50:55,005 - mmseg - INFO - Iter [15550/160000] lr: 5.417e-05, eta: 9:50:10, time: 0.237, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4612, decode.acc_seg: 82.3505, aux.loss_ce: 0.2364, aux.acc_seg: 78.7035, loss: 0.6976 2023-11-13 16:51:06,779 - mmseg - INFO - Iter [15600/160000] lr: 5.415e-05, eta: 9:49:53, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4556, decode.acc_seg: 82.4892, aux.loss_ce: 0.2291, aux.acc_seg: 79.0396, loss: 0.6847 2023-11-13 16:51:18,484 - mmseg - INFO - Iter [15650/160000] lr: 5.413e-05, eta: 9:49:36, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4387, decode.acc_seg: 82.8484, aux.loss_ce: 0.2262, aux.acc_seg: 79.2221, loss: 0.6649 2023-11-13 16:51:30,109 - mmseg - INFO - Iter [15700/160000] lr: 5.411e-05, eta: 9:49:18, time: 0.233, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4606, decode.acc_seg: 82.2950, aux.loss_ce: 0.2360, aux.acc_seg: 78.7338, loss: 0.6967 2023-11-13 16:51:41,786 - mmseg - INFO - Iter [15750/160000] lr: 5.409e-05, eta: 9:49:01, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4442, decode.acc_seg: 82.7070, aux.loss_ce: 0.2307, aux.acc_seg: 78.7197, loss: 0.6749 2023-11-13 16:51:53,537 - mmseg - INFO - Iter [15800/160000] lr: 5.408e-05, eta: 9:48:44, time: 0.235, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4772, decode.acc_seg: 81.6496, aux.loss_ce: 0.2449, aux.acc_seg: 77.8760, loss: 0.7221 2023-11-13 16:52:05,216 - mmseg - INFO - Iter [15850/160000] lr: 5.406e-05, eta: 9:48:26, time: 0.234, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4401, decode.acc_seg: 82.7789, aux.loss_ce: 0.2283, aux.acc_seg: 79.2775, loss: 0.6684 2023-11-13 16:52:16,788 - mmseg - INFO - Iter [15900/160000] lr: 5.404e-05, eta: 9:48:08, time: 0.231, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4384, decode.acc_seg: 83.4668, aux.loss_ce: 0.2251, aux.acc_seg: 80.1206, loss: 0.6634 2023-11-13 16:52:29,438 - mmseg - INFO - Iter [15950/160000] lr: 5.402e-05, eta: 9:47:59, time: 0.252, data_time: 0.004, memory: 3898, decode.loss_ce: 0.4906, decode.acc_seg: 80.9447, aux.loss_ce: 0.2414, aux.acc_seg: 77.5992, loss: 0.7320 2023-11-13 16:52:43,348 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-11-13 16:52:46,005 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:52:46,005 - mmseg - INFO - Iter [16000/160000] lr: 5.400e-05, eta: 9:48:26, time: 0.332, data_time: 0.005, memory: 3898, decode.loss_ce: 0.4306, decode.acc_seg: 82.9969, aux.loss_ce: 0.2195, aux.acc_seg: 79.6452, loss: 0.6502 2023-11-13 16:53:32,970 - mmseg - INFO - per class results: 2023-11-13 16:53:32,975 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.69 | 84.42 | | building | 82.93 | 92.94 | | sky | 93.97 | 97.4 | | floor | 79.83 | 88.37 | | tree | 73.44 | 85.14 | | ceiling | 81.69 | 92.62 | | road | 83.2 | 91.14 | | bed | 87.93 | 95.97 | | windowpane | 60.26 | 79.83 | | grass | 71.48 | 86.56 | | cabinet | 57.43 | 68.3 | | sidewalk | 64.66 | 79.45 | | person | 79.74 | 90.64 | | earth | 38.1 | 48.73 | | door | 47.12 | 69.26 | | table | 55.45 | 71.86 | | mountain | 58.68 | 72.96 | | plant | 54.05 | 66.27 | | curtain | 71.8 | 86.55 | | chair | 55.72 | 73.22 | | car | 83.67 | 93.45 | | water | 51.38 | 73.67 | | painting | 63.65 | 87.53 | | sofa | 64.03 | 83.16 | | shelf | 38.02 | 52.71 | | house | 50.11 | 61.74 | | sea | 55.78 | 79.28 | | mirror | 62.65 | 76.37 | | rug | 57.39 | 76.55 | | field | 28.78 | 43.71 | | armchair | 37.82 | 55.14 | | seat | 61.53 | 81.66 | | fence | 46.8 | 66.53 | | desk | 42.48 | 65.97 | | rock | 44.59 | 71.28 | | wardrobe | 43.81 | 65.75 | | lamp | 56.41 | 74.73 | | bathtub | 76.12 | 84.22 | | railing | 33.69 | 54.22 | | cushion | 54.05 | 76.46 | | base | 24.5 | 52.1 | | box | 21.33 | 27.24 | | column | 47.32 | 63.47 | | signboard | 36.73 | 46.25 | | chest of drawers | 38.66 | 47.56 | | counter | 39.11 | 53.38 | | sand | 36.33 | 47.67 | | sink | 68.79 | 77.66 | | skyscraper | 46.79 | 54.54 | | fireplace | 68.22 | 86.44 | | refrigerator | 70.44 | 89.15 | | grandstand | 51.04 | 78.13 | | path | 24.28 | 35.98 | | stairs | 31.92 | 36.98 | | runway | 66.04 | 93.3 | | case | 44.95 | 54.7 | | pool table | 91.0 | 96.24 | | pillow | 47.8 | 55.56 | | screen door | 64.68 | 83.78 | | stairway | 25.35 | 40.25 | | river | 20.85 | 25.93 | | bridge | 61.2 | 74.88 | | bookcase | 30.03 | 52.94 | | blind | 31.53 | 33.99 | | coffee table | 50.8 | 83.46 | | toilet | 79.33 | 91.83 | | flower | 36.21 | 48.91 | | book | 46.43 | 69.92 | | hill | 5.22 | 11.46 | | bench | 45.13 | 57.6 | | countertop | 53.32 | 66.41 | | stove | 68.79 | 81.23 | | palm | 46.86 | 59.74 | | kitchen island | 29.07 | 62.01 | | computer | 60.78 | 78.39 | | swivel chair | 44.31 | 68.81 | | boat | 41.38 | 52.41 | | bar | 41.6 | 51.7 | | arcade machine | 66.87 | 84.72 | | hovel | 30.29 | 44.98 | | bus | 88.74 | 96.45 | | towel | 56.25 | 69.53 | | light | 45.5 | 55.71 | | truck | 40.39 | 49.48 | | tower | 36.79 | 50.28 | | chandelier | 60.93 | 80.0 | | awning | 32.55 | 39.39 | | streetlight | 22.21 | 27.82 | | booth | 34.34 | 40.85 | | television receiver | 67.93 | 79.64 | | airplane | 52.59 | 64.31 | | dirt track | 1.23 | 1.4 | | apparel | 34.22 | 53.35 | | pole | 19.19 | 24.59 | | land | 1.04 | 1.12 | | bannister | 11.58 | 13.94 | | escalator | 21.99 | 24.7 | | ottoman | 52.74 | 60.36 | | bottle | 17.1 | 20.63 | | buffet | 33.36 | 39.38 | | poster | 17.41 | 21.99 | | stage | 11.97 | 19.14 | | van | 41.57 | 49.94 | | ship | 26.26 | 38.28 | | fountain | 31.17 | 34.09 | | conveyer belt | 48.54 | 79.08 | | canopy | 25.99 | 39.89 | | washer | 73.43 | 77.67 | | plaything | 32.12 | 49.5 | | swimming pool | 51.12 | 82.38 | | stool | 28.6 | 31.65 | | barrel | 30.23 | 74.55 | | basket | 32.32 | 43.42 | | waterfall | 47.15 | 60.82 | | tent | 69.22 | 98.49 | | bag | 6.35 | 6.77 | | minibike | 66.09 | 86.86 | | cradle | 66.65 | 98.83 | | oven | 39.58 | 48.96 | | ball | 35.35 | 42.5 | | food | 56.05 | 60.27 | | step | 11.12 | 11.55 | | tank | 46.88 | 53.74 | | trade name | 24.77 | 28.32 | | microwave | 79.93 | 95.08 | | pot | 38.12 | 44.78 | | animal | 64.3 | 66.14 | | bicycle | 58.53 | 75.13 | | lake | 2.33 | 2.62 | | dishwasher | 65.64 | 78.74 | | screen | 57.25 | 88.17 | | blanket | 4.82 | 5.25 | | sculpture | 52.83 | 66.79 | | hood | 52.98 | 60.51 | | sconce | 22.64 | 26.01 | | vase | 32.05 | 48.32 | | traffic light | 25.58 | 41.39 | | tray | 3.09 | 3.53 | | ashcan | 43.02 | 59.98 | | fan | 51.42 | 69.85 | | pier | 34.62 | 37.45 | | crt screen | 1.34 | 1.6 | | plate | 47.68 | 71.29 | | monitor | 33.94 | 78.13 | | bulletin board | 53.14 | 70.37 | | shower | 0.0 | 0.0 | | radiator | 52.87 | 57.22 | | glass | 10.43 | 11.3 | | clock | 26.87 | 33.8 | | flag | 43.51 | 51.21 | +---------------------+-------+-------+ 2023-11-13 16:53:32,975 - mmseg - INFO - Summary: 2023-11-13 16:53:32,975 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.09 | 45.81 | 58.96 | +-------+-------+-------+ 2023-11-13 16:53:35,630 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2023-11-13 16:53:35,631 - mmseg - INFO - Best mIoU is 0.4581 at 16000 iter. 2023-11-13 16:53:35,631 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:53:35,631 - mmseg - INFO - Iter(val) [250] aAcc: 0.8209, mIoU: 0.4581, mAcc: 0.5896, IoU.wall: 0.7569, IoU.building: 0.8293, IoU.sky: 0.9397, IoU.floor: 0.7983, IoU.tree: 0.7344, IoU.ceiling: 0.8169, IoU.road: 0.8320, IoU.bed : 0.8793, IoU.windowpane: 0.6026, IoU.grass: 0.7148, IoU.cabinet: 0.5743, IoU.sidewalk: 0.6466, IoU.person: 0.7974, IoU.earth: 0.3810, IoU.door: 0.4712, IoU.table: 0.5545, IoU.mountain: 0.5868, IoU.plant: 0.5405, IoU.curtain: 0.7180, IoU.chair: 0.5572, IoU.car: 0.8367, IoU.water: 0.5138, IoU.painting: 0.6365, IoU.sofa: 0.6403, IoU.shelf: 0.3802, IoU.house: 0.5011, IoU.sea: 0.5578, IoU.mirror: 0.6265, IoU.rug: 0.5739, IoU.field: 0.2878, IoU.armchair: 0.3782, IoU.seat: 0.6153, IoU.fence: 0.4680, IoU.desk: 0.4248, IoU.rock: 0.4459, IoU.wardrobe: 0.4381, IoU.lamp: 0.5641, IoU.bathtub: 0.7612, IoU.railing: 0.3369, IoU.cushion: 0.5405, IoU.base: 0.2450, IoU.box: 0.2133, IoU.column: 0.4732, IoU.signboard: 0.3673, IoU.chest of drawers: 0.3866, IoU.counter: 0.3911, IoU.sand: 0.3633, IoU.sink: 0.6879, IoU.skyscraper: 0.4679, IoU.fireplace: 0.6822, IoU.refrigerator: 0.7044, IoU.grandstand: 0.5104, IoU.path: 0.2428, IoU.stairs: 0.3192, IoU.runway: 0.6604, IoU.case: 0.4495, IoU.pool table: 0.9100, IoU.pillow: 0.4780, IoU.screen door: 0.6468, IoU.stairway: 0.2535, IoU.river: 0.2085, IoU.bridge: 0.6120, IoU.bookcase: 0.3003, IoU.blind: 0.3153, IoU.coffee table: 0.5080, IoU.toilet: 0.7933, IoU.flower: 0.3621, IoU.book: 0.4643, IoU.hill: 0.0522, IoU.bench: 0.4513, IoU.countertop: 0.5332, IoU.stove: 0.6879, IoU.palm: 0.4686, IoU.kitchen island: 0.2907, IoU.computer: 0.6078, IoU.swivel chair: 0.4431, IoU.boat: 0.4138, IoU.bar: 0.4160, IoU.arcade machine: 0.6687, IoU.hovel: 0.3029, IoU.bus: 0.8874, IoU.towel: 0.5625, IoU.light: 0.4550, IoU.truck: 0.4039, IoU.tower: 0.3679, IoU.chandelier: 0.6093, IoU.awning: 0.3255, IoU.streetlight: 0.2221, IoU.booth: 0.3434, IoU.television receiver: 0.6793, IoU.airplane: 0.5259, IoU.dirt track: 0.0123, IoU.apparel: 0.3422, IoU.pole: 0.1919, IoU.land: 0.0104, IoU.bannister: 0.1158, IoU.escalator: 0.2199, IoU.ottoman: 0.5274, IoU.bottle: 0.1710, IoU.buffet: 0.3336, IoU.poster: 0.1741, IoU.stage: 0.1197, IoU.van: 0.4157, IoU.ship: 0.2626, IoU.fountain: 0.3117, IoU.conveyer belt: 0.4854, IoU.canopy: 0.2599, IoU.washer: 0.7343, IoU.plaything: 0.3212, IoU.swimming pool: 0.5112, IoU.stool: 0.2860, IoU.barrel: 0.3023, IoU.basket: 0.3232, IoU.waterfall: 0.4715, IoU.tent: 0.6922, IoU.bag: 0.0635, IoU.minibike: 0.6609, IoU.cradle: 0.6665, IoU.oven: 0.3958, IoU.ball: 0.3535, IoU.food: 0.5605, IoU.step: 0.1112, IoU.tank: 0.4688, IoU.trade name: 0.2477, IoU.microwave: 0.7993, IoU.pot: 0.3812, IoU.animal: 0.6430, IoU.bicycle: 0.5853, IoU.lake: 0.0233, IoU.dishwasher: 0.6564, IoU.screen: 0.5725, IoU.blanket: 0.0482, IoU.sculpture: 0.5283, IoU.hood: 0.5298, IoU.sconce: 0.2264, IoU.vase: 0.3205, IoU.traffic light: 0.2558, IoU.tray: 0.0309, IoU.ashcan: 0.4302, IoU.fan: 0.5142, IoU.pier: 0.3462, IoU.crt screen: 0.0134, IoU.plate: 0.4768, IoU.monitor: 0.3394, IoU.bulletin board: 0.5314, IoU.shower: 0.0000, IoU.radiator: 0.5287, IoU.glass: 0.1043, IoU.clock: 0.2687, IoU.flag: 0.4351, Acc.wall: 0.8442, Acc.building: 0.9294, Acc.sky: 0.9740, Acc.floor: 0.8837, Acc.tree: 0.8514, Acc.ceiling: 0.9262, Acc.road: 0.9114, Acc.bed : 0.9597, Acc.windowpane: 0.7983, Acc.grass: 0.8656, Acc.cabinet: 0.6830, Acc.sidewalk: 0.7945, Acc.person: 0.9064, Acc.earth: 0.4873, Acc.door: 0.6926, Acc.table: 0.7186, Acc.mountain: 0.7296, Acc.plant: 0.6627, Acc.curtain: 0.8655, Acc.chair: 0.7322, Acc.car: 0.9345, Acc.water: 0.7367, Acc.painting: 0.8753, Acc.sofa: 0.8316, Acc.shelf: 0.5271, Acc.house: 0.6174, Acc.sea: 0.7928, Acc.mirror: 0.7637, Acc.rug: 0.7655, Acc.field: 0.4371, Acc.armchair: 0.5514, Acc.seat: 0.8166, Acc.fence: 0.6653, Acc.desk: 0.6597, Acc.rock: 0.7128, Acc.wardrobe: 0.6575, Acc.lamp: 0.7473, Acc.bathtub: 0.8422, Acc.railing: 0.5422, Acc.cushion: 0.7646, Acc.base: 0.5210, Acc.box: 0.2724, Acc.column: 0.6347, Acc.signboard: 0.4625, Acc.chest of drawers: 0.4756, Acc.counter: 0.5338, Acc.sand: 0.4767, Acc.sink: 0.7766, Acc.skyscraper: 0.5454, Acc.fireplace: 0.8644, Acc.refrigerator: 0.8915, Acc.grandstand: 0.7813, Acc.path: 0.3598, Acc.stairs: 0.3698, Acc.runway: 0.9330, Acc.case: 0.5470, Acc.pool table: 0.9624, Acc.pillow: 0.5556, Acc.screen door: 0.8378, Acc.stairway: 0.4025, Acc.river: 0.2593, Acc.bridge: 0.7488, Acc.bookcase: 0.5294, Acc.blind: 0.3399, Acc.coffee table: 0.8346, Acc.toilet: 0.9183, Acc.flower: 0.4891, Acc.book: 0.6992, Acc.hill: 0.1146, Acc.bench: 0.5760, Acc.countertop: 0.6641, Acc.stove: 0.8123, Acc.palm: 0.5974, Acc.kitchen island: 0.6201, Acc.computer: 0.7839, Acc.swivel chair: 0.6881, Acc.boat: 0.5241, Acc.bar: 0.5170, Acc.arcade machine: 0.8472, Acc.hovel: 0.4498, Acc.bus: 0.9645, Acc.towel: 0.6953, Acc.light: 0.5571, Acc.truck: 0.4948, Acc.tower: 0.5028, Acc.chandelier: 0.8000, Acc.awning: 0.3939, Acc.streetlight: 0.2782, Acc.booth: 0.4085, Acc.television receiver: 0.7964, Acc.airplane: 0.6431, Acc.dirt track: 0.0140, Acc.apparel: 0.5335, Acc.pole: 0.2459, Acc.land: 0.0112, Acc.bannister: 0.1394, Acc.escalator: 0.2470, Acc.ottoman: 0.6036, Acc.bottle: 0.2063, Acc.buffet: 0.3938, Acc.poster: 0.2199, Acc.stage: 0.1914, Acc.van: 0.4994, Acc.ship: 0.3828, Acc.fountain: 0.3409, Acc.conveyer belt: 0.7908, Acc.canopy: 0.3989, Acc.washer: 0.7767, Acc.plaything: 0.4950, Acc.swimming pool: 0.8238, Acc.stool: 0.3165, Acc.barrel: 0.7455, Acc.basket: 0.4342, Acc.waterfall: 0.6082, Acc.tent: 0.9849, Acc.bag: 0.0677, Acc.minibike: 0.8686, Acc.cradle: 0.9883, Acc.oven: 0.4896, Acc.ball: 0.4250, Acc.food: 0.6027, Acc.step: 0.1155, Acc.tank: 0.5374, Acc.trade name: 0.2832, Acc.microwave: 0.9508, Acc.pot: 0.4478, Acc.animal: 0.6614, Acc.bicycle: 0.7513, Acc.lake: 0.0262, Acc.dishwasher: 0.7874, Acc.screen: 0.8817, Acc.blanket: 0.0525, Acc.sculpture: 0.6679, Acc.hood: 0.6051, Acc.sconce: 0.2601, Acc.vase: 0.4832, Acc.traffic light: 0.4139, Acc.tray: 0.0353, Acc.ashcan: 0.5998, Acc.fan: 0.6985, Acc.pier: 0.3745, Acc.crt screen: 0.0160, Acc.plate: 0.7129, Acc.monitor: 0.7813, Acc.bulletin board: 0.7037, Acc.shower: 0.0000, Acc.radiator: 0.5722, Acc.glass: 0.1130, Acc.clock: 0.3380, Acc.flag: 0.5121 2023-11-13 16:53:47,808 - mmseg - INFO - Iter [16050/160000] lr: 5.398e-05, eta: 9:55:38, time: 1.236, data_time: 0.997, memory: 5958, decode.loss_ce: 0.4738, decode.acc_seg: 81.6969, aux.loss_ce: 0.2407, aux.acc_seg: 78.2045, loss: 0.7145 2023-11-13 16:53:59,614 - mmseg - INFO - Iter [16100/160000] lr: 5.396e-05, eta: 9:55:20, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4353, decode.acc_seg: 82.9150, aux.loss_ce: 0.2194, aux.acc_seg: 79.2690, loss: 0.6547 2023-11-13 16:54:11,480 - mmseg - INFO - Iter [16150/160000] lr: 5.394e-05, eta: 9:55:03, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4463, decode.acc_seg: 82.4402, aux.loss_ce: 0.2315, aux.acc_seg: 78.9891, loss: 0.6779 2023-11-13 16:54:23,291 - mmseg - INFO - Iter [16200/160000] lr: 5.393e-05, eta: 9:54:45, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4711, decode.acc_seg: 80.9756, aux.loss_ce: 0.2300, aux.acc_seg: 78.5762, loss: 0.7011 2023-11-13 16:54:36,325 - mmseg - INFO - Iter [16250/160000] lr: 5.391e-05, eta: 9:54:38, time: 0.260, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4801, decode.acc_seg: 81.2847, aux.loss_ce: 0.2419, aux.acc_seg: 78.1057, loss: 0.7219 2023-11-13 16:54:47,988 - mmseg - INFO - Iter [16300/160000] lr: 5.389e-05, eta: 9:54:19, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4612, decode.acc_seg: 82.5530, aux.loss_ce: 0.2366, aux.acc_seg: 78.7213, loss: 0.6978 2023-11-13 16:54:59,681 - mmseg - INFO - Iter [16350/160000] lr: 5.387e-05, eta: 9:54:01, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4670, decode.acc_seg: 81.8947, aux.loss_ce: 0.2434, aux.acc_seg: 77.7712, loss: 0.7105 2023-11-13 16:55:12,109 - mmseg - INFO - Iter [16400/160000] lr: 5.385e-05, eta: 9:53:48, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4550, decode.acc_seg: 82.6627, aux.loss_ce: 0.2346, aux.acc_seg: 79.0645, loss: 0.6896 2023-11-13 16:55:27,583 - mmseg - INFO - Iter [16450/160000] lr: 5.383e-05, eta: 9:54:03, time: 0.309, data_time: 0.049, memory: 5958, decode.loss_ce: 0.4204, decode.acc_seg: 83.2900, aux.loss_ce: 0.2164, aux.acc_seg: 79.6472, loss: 0.6369 2023-11-13 16:55:40,833 - mmseg - INFO - Iter [16500/160000] lr: 5.381e-05, eta: 9:53:58, time: 0.265, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4163, decode.acc_seg: 84.0371, aux.loss_ce: 0.2167, aux.acc_seg: 80.5140, loss: 0.6330 2023-11-13 16:55:52,518 - mmseg - INFO - Iter [16550/160000] lr: 5.379e-05, eta: 9:53:39, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4392, decode.acc_seg: 82.6912, aux.loss_ce: 0.2242, aux.acc_seg: 79.0461, loss: 0.6635 2023-11-13 16:56:04,158 - mmseg - INFO - Iter [16600/160000] lr: 5.378e-05, eta: 9:53:20, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4398, decode.acc_seg: 82.8115, aux.loss_ce: 0.2383, aux.acc_seg: 78.2809, loss: 0.6782 2023-11-13 16:56:16,102 - mmseg - INFO - Iter [16650/160000] lr: 5.376e-05, eta: 9:53:03, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4219, decode.acc_seg: 83.8987, aux.loss_ce: 0.2228, aux.acc_seg: 80.0071, loss: 0.6447 2023-11-13 16:56:27,944 - mmseg - INFO - Iter [16700/160000] lr: 5.374e-05, eta: 9:52:46, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4054, decode.acc_seg: 84.0510, aux.loss_ce: 0.2103, aux.acc_seg: 80.6780, loss: 0.6157 2023-11-13 16:56:39,882 - mmseg - INFO - Iter [16750/160000] lr: 5.372e-05, eta: 9:52:30, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4398, decode.acc_seg: 82.6073, aux.loss_ce: 0.2240, aux.acc_seg: 79.0152, loss: 0.6638 2023-11-13 16:56:51,598 - mmseg - INFO - Iter [16800/160000] lr: 5.370e-05, eta: 9:52:11, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4337, decode.acc_seg: 82.7947, aux.loss_ce: 0.2226, aux.acc_seg: 79.0283, loss: 0.6563 2023-11-13 16:57:03,262 - mmseg - INFO - Iter [16850/160000] lr: 5.368e-05, eta: 9:51:53, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4421, decode.acc_seg: 83.4295, aux.loss_ce: 0.2311, aux.acc_seg: 79.0642, loss: 0.6732 2023-11-13 16:57:15,180 - mmseg - INFO - Iter [16900/160000] lr: 5.366e-05, eta: 9:51:36, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4218, decode.acc_seg: 83.6399, aux.loss_ce: 0.2193, aux.acc_seg: 79.8813, loss: 0.6411 2023-11-13 16:57:26,834 - mmseg - INFO - Iter [16950/160000] lr: 5.364e-05, eta: 9:51:17, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4114, decode.acc_seg: 83.5762, aux.loss_ce: 0.2146, aux.acc_seg: 80.0951, loss: 0.6260 2023-11-13 16:57:38,643 - mmseg - INFO - Saving checkpoint at 17000 iterations 2023-11-13 16:57:41,319 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 16:57:41,319 - mmseg - INFO - Iter [17000/160000] lr: 5.363e-05, eta: 9:51:22, time: 0.290, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4263, decode.acc_seg: 82.7939, aux.loss_ce: 0.2187, aux.acc_seg: 79.5230, loss: 0.6450 2023-11-13 16:57:52,986 - mmseg - INFO - Iter [17050/160000] lr: 5.361e-05, eta: 9:51:04, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4522, decode.acc_seg: 82.5470, aux.loss_ce: 0.2352, aux.acc_seg: 78.5439, loss: 0.6874 2023-11-13 16:58:04,675 - mmseg - INFO - Iter [17100/160000] lr: 5.359e-05, eta: 9:50:45, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4677, decode.acc_seg: 81.5426, aux.loss_ce: 0.2314, aux.acc_seg: 78.1552, loss: 0.6991 2023-11-13 16:58:16,395 - mmseg - INFO - Iter [17150/160000] lr: 5.357e-05, eta: 9:50:27, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4600, decode.acc_seg: 82.1940, aux.loss_ce: 0.2339, aux.acc_seg: 78.6310, loss: 0.6939 2023-11-13 16:58:29,418 - mmseg - INFO - Iter [17200/160000] lr: 5.355e-05, eta: 9:50:20, time: 0.261, data_time: 0.006, memory: 5958, decode.loss_ce: 0.4600, decode.acc_seg: 82.4098, aux.loss_ce: 0.2300, aux.acc_seg: 79.1199, loss: 0.6900 2023-11-13 16:58:41,377 - mmseg - INFO - Iter [17250/160000] lr: 5.353e-05, eta: 9:50:04, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4530, decode.acc_seg: 82.9739, aux.loss_ce: 0.2367, aux.acc_seg: 79.3063, loss: 0.6898 2023-11-13 16:58:54,026 - mmseg - INFO - Iter [17300/160000] lr: 5.351e-05, eta: 9:49:54, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4338, decode.acc_seg: 83.0548, aux.loss_ce: 0.2284, aux.acc_seg: 79.2977, loss: 0.6622 2023-11-13 16:59:05,891 - mmseg - INFO - Iter [17350/160000] lr: 5.349e-05, eta: 9:49:37, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4389, decode.acc_seg: 82.5705, aux.loss_ce: 0.2230, aux.acc_seg: 79.2018, loss: 0.6619 2023-11-13 16:59:19,179 - mmseg - INFO - Iter [17400/160000] lr: 5.348e-05, eta: 9:49:32, time: 0.266, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4538, decode.acc_seg: 82.2192, aux.loss_ce: 0.2312, aux.acc_seg: 78.7697, loss: 0.6850 2023-11-13 16:59:30,881 - mmseg - INFO - Iter [17450/160000] lr: 5.346e-05, eta: 9:49:14, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4328, decode.acc_seg: 82.9065, aux.loss_ce: 0.2208, aux.acc_seg: 79.3888, loss: 0.6536 2023-11-13 16:59:43,272 - mmseg - INFO - Iter [17500/160000] lr: 5.344e-05, eta: 9:49:01, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4380, decode.acc_seg: 82.6256, aux.loss_ce: 0.2185, aux.acc_seg: 79.4009, loss: 0.6566 2023-11-13 16:59:55,849 - mmseg - INFO - Iter [17550/160000] lr: 5.342e-05, eta: 9:48:50, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4448, decode.acc_seg: 82.7296, aux.loss_ce: 0.2275, aux.acc_seg: 79.0552, loss: 0.6723 2023-11-13 17:00:08,205 - mmseg - INFO - Iter [17600/160000] lr: 5.340e-05, eta: 9:48:37, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4311, decode.acc_seg: 83.0808, aux.loss_ce: 0.2250, aux.acc_seg: 79.4379, loss: 0.6561 2023-11-13 17:00:19,881 - mmseg - INFO - Iter [17650/160000] lr: 5.338e-05, eta: 9:48:19, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4483, decode.acc_seg: 82.4220, aux.loss_ce: 0.2290, aux.acc_seg: 79.0569, loss: 0.6773 2023-11-13 17:00:33,921 - mmseg - INFO - Iter [17700/160000] lr: 5.336e-05, eta: 9:48:20, time: 0.281, data_time: 0.048, memory: 5958, decode.loss_ce: 0.4392, decode.acc_seg: 82.7625, aux.loss_ce: 0.2235, aux.acc_seg: 79.1634, loss: 0.6627 2023-11-13 17:00:45,706 - mmseg - INFO - Iter [17750/160000] lr: 5.334e-05, eta: 9:48:03, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4378, decode.acc_seg: 83.1616, aux.loss_ce: 0.2270, aux.acc_seg: 79.2297, loss: 0.6648 2023-11-13 17:00:57,816 - mmseg - INFO - Iter [17800/160000] lr: 5.333e-05, eta: 9:47:48, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4476, decode.acc_seg: 82.9021, aux.loss_ce: 0.2304, aux.acc_seg: 79.0961, loss: 0.6779 2023-11-13 17:01:09,950 - mmseg - INFO - Iter [17850/160000] lr: 5.331e-05, eta: 9:47:33, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4328, decode.acc_seg: 83.1316, aux.loss_ce: 0.2183, aux.acc_seg: 79.8187, loss: 0.6511 2023-11-13 17:01:22,310 - mmseg - INFO - Iter [17900/160000] lr: 5.329e-05, eta: 9:47:21, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4330, decode.acc_seg: 82.9987, aux.loss_ce: 0.2210, aux.acc_seg: 79.1736, loss: 0.6540 2023-11-13 17:01:34,042 - mmseg - INFO - Iter [17950/160000] lr: 5.327e-05, eta: 9:47:03, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4059, decode.acc_seg: 84.0611, aux.loss_ce: 0.2097, aux.acc_seg: 80.0407, loss: 0.6155 2023-11-13 17:01:45,840 - mmseg - INFO - Saving checkpoint at 18000 iterations 2023-11-13 17:01:48,515 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:01:48,515 - mmseg - INFO - Iter [18000/160000] lr: 5.325e-05, eta: 9:47:07, time: 0.289, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4263, decode.acc_seg: 82.7699, aux.loss_ce: 0.2178, aux.acc_seg: 79.1950, loss: 0.6441 2023-11-13 17:02:00,236 - mmseg - INFO - Iter [18050/160000] lr: 5.323e-05, eta: 9:46:49, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4262, decode.acc_seg: 83.3849, aux.loss_ce: 0.2207, aux.acc_seg: 80.1081, loss: 0.6469 2023-11-13 17:02:12,270 - mmseg - INFO - Iter [18100/160000] lr: 5.321e-05, eta: 9:46:34, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4311, decode.acc_seg: 83.0805, aux.loss_ce: 0.2220, aux.acc_seg: 79.3672, loss: 0.6530 2023-11-13 17:02:24,103 - mmseg - INFO - Iter [18150/160000] lr: 5.319e-05, eta: 9:46:17, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4132, decode.acc_seg: 84.1374, aux.loss_ce: 0.2133, aux.acc_seg: 80.5542, loss: 0.6265 2023-11-13 17:02:35,789 - mmseg - INFO - Iter [18200/160000] lr: 5.318e-05, eta: 9:45:59, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4079, decode.acc_seg: 84.0435, aux.loss_ce: 0.2131, aux.acc_seg: 80.0682, loss: 0.6210 2023-11-13 17:02:47,488 - mmseg - INFO - Iter [18250/160000] lr: 5.316e-05, eta: 9:45:41, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4028, decode.acc_seg: 83.7022, aux.loss_ce: 0.2070, aux.acc_seg: 80.2940, loss: 0.6097 2023-11-13 17:03:00,554 - mmseg - INFO - Iter [18300/160000] lr: 5.314e-05, eta: 9:45:34, time: 0.261, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4365, decode.acc_seg: 82.7901, aux.loss_ce: 0.2225, aux.acc_seg: 79.3319, loss: 0.6591 2023-11-13 17:03:14,157 - mmseg - INFO - Iter [18350/160000] lr: 5.312e-05, eta: 9:45:31, time: 0.273, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4474, decode.acc_seg: 82.6873, aux.loss_ce: 0.2257, aux.acc_seg: 79.1223, loss: 0.6731 2023-11-13 17:03:25,826 - mmseg - INFO - Iter [18400/160000] lr: 5.310e-05, eta: 9:45:13, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3956, decode.acc_seg: 84.6156, aux.loss_ce: 0.2033, aux.acc_seg: 81.4664, loss: 0.5989 2023-11-13 17:03:37,511 - mmseg - INFO - Iter [18450/160000] lr: 5.308e-05, eta: 9:44:55, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4343, decode.acc_seg: 83.1696, aux.loss_ce: 0.2229, aux.acc_seg: 79.9650, loss: 0.6573 2023-11-13 17:03:49,268 - mmseg - INFO - Iter [18500/160000] lr: 5.306e-05, eta: 9:44:38, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4341, decode.acc_seg: 82.4430, aux.loss_ce: 0.2220, aux.acc_seg: 79.4226, loss: 0.6562 2023-11-13 17:04:01,299 - mmseg - INFO - Iter [18550/160000] lr: 5.304e-05, eta: 9:44:22, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4524, decode.acc_seg: 81.9877, aux.loss_ce: 0.2283, aux.acc_seg: 78.5949, loss: 0.6807 2023-11-13 17:04:12,971 - mmseg - INFO - Iter [18600/160000] lr: 5.303e-05, eta: 9:44:05, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4233, decode.acc_seg: 83.5053, aux.loss_ce: 0.2240, aux.acc_seg: 79.2406, loss: 0.6473 2023-11-13 17:04:24,641 - mmseg - INFO - Iter [18650/160000] lr: 5.301e-05, eta: 9:43:47, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4218, decode.acc_seg: 83.4980, aux.loss_ce: 0.2192, aux.acc_seg: 80.1079, loss: 0.6411 2023-11-13 17:04:36,377 - mmseg - INFO - Iter [18700/160000] lr: 5.299e-05, eta: 9:43:29, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4099, decode.acc_seg: 83.9055, aux.loss_ce: 0.2159, aux.acc_seg: 79.8907, loss: 0.6258 2023-11-13 17:04:48,409 - mmseg - INFO - Iter [18750/160000] lr: 5.297e-05, eta: 9:43:14, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4122, decode.acc_seg: 83.8118, aux.loss_ce: 0.2137, aux.acc_seg: 80.4672, loss: 0.6259 2023-11-13 17:05:00,134 - mmseg - INFO - Iter [18800/160000] lr: 5.295e-05, eta: 9:42:57, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4017, decode.acc_seg: 84.3912, aux.loss_ce: 0.2094, aux.acc_seg: 80.4365, loss: 0.6111 2023-11-13 17:05:11,982 - mmseg - INFO - Iter [18850/160000] lr: 5.293e-05, eta: 9:42:41, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4463, decode.acc_seg: 82.8695, aux.loss_ce: 0.2301, aux.acc_seg: 79.2939, loss: 0.6763 2023-11-13 17:05:24,889 - mmseg - INFO - Iter [18900/160000] lr: 5.291e-05, eta: 9:42:32, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4364, decode.acc_seg: 82.8068, aux.loss_ce: 0.2266, aux.acc_seg: 79.0569, loss: 0.6629 2023-11-13 17:05:39,613 - mmseg - INFO - Iter [18950/160000] lr: 5.289e-05, eta: 9:42:37, time: 0.294, data_time: 0.048, memory: 5958, decode.loss_ce: 0.4444, decode.acc_seg: 83.0221, aux.loss_ce: 0.2224, aux.acc_seg: 79.7062, loss: 0.6668 2023-11-13 17:05:51,255 - mmseg - INFO - Saving checkpoint at 19000 iterations 2023-11-13 17:05:54,047 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:05:54,048 - mmseg - INFO - Iter [19000/160000] lr: 5.288e-05, eta: 9:42:40, time: 0.289, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4201, decode.acc_seg: 83.0015, aux.loss_ce: 0.2218, aux.acc_seg: 78.9942, loss: 0.6419 2023-11-13 17:06:06,796 - mmseg - INFO - Iter [19050/160000] lr: 5.286e-05, eta: 9:42:30, time: 0.255, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3974, decode.acc_seg: 84.3377, aux.loss_ce: 0.2058, aux.acc_seg: 80.9829, loss: 0.6032 2023-11-13 17:06:18,930 - mmseg - INFO - Iter [19100/160000] lr: 5.284e-05, eta: 9:42:16, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4337, decode.acc_seg: 83.2052, aux.loss_ce: 0.2329, aux.acc_seg: 79.0685, loss: 0.6666 2023-11-13 17:06:30,806 - mmseg - INFO - Iter [19150/160000] lr: 5.282e-05, eta: 9:41:59, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4151, decode.acc_seg: 83.9538, aux.loss_ce: 0.2196, aux.acc_seg: 79.9730, loss: 0.6347 2023-11-13 17:06:42,485 - mmseg - INFO - Iter [19200/160000] lr: 5.280e-05, eta: 9:41:42, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4051, decode.acc_seg: 83.8631, aux.loss_ce: 0.2142, aux.acc_seg: 79.8306, loss: 0.6193 2023-11-13 17:06:54,403 - mmseg - INFO - Iter [19250/160000] lr: 5.278e-05, eta: 9:41:26, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4188, decode.acc_seg: 83.4519, aux.loss_ce: 0.2144, aux.acc_seg: 79.9930, loss: 0.6332 2023-11-13 17:07:06,216 - mmseg - INFO - Iter [19300/160000] lr: 5.276e-05, eta: 9:41:09, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3937, decode.acc_seg: 84.0500, aux.loss_ce: 0.2064, aux.acc_seg: 80.5634, loss: 0.6001 2023-11-13 17:07:18,595 - mmseg - INFO - Iter [19350/160000] lr: 5.274e-05, eta: 9:40:57, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4128, decode.acc_seg: 83.7162, aux.loss_ce: 0.2237, aux.acc_seg: 79.2543, loss: 0.6365 2023-11-13 17:07:30,874 - mmseg - INFO - Iter [19400/160000] lr: 5.273e-05, eta: 9:40:43, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4142, decode.acc_seg: 83.5910, aux.loss_ce: 0.2108, aux.acc_seg: 80.2045, loss: 0.6250 2023-11-13 17:07:42,610 - mmseg - INFO - Iter [19450/160000] lr: 5.271e-05, eta: 9:40:26, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4315, decode.acc_seg: 83.3971, aux.loss_ce: 0.2218, aux.acc_seg: 80.0503, loss: 0.6532 2023-11-13 17:07:54,291 - mmseg - INFO - Iter [19500/160000] lr: 5.269e-05, eta: 9:40:09, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4025, decode.acc_seg: 83.7621, aux.loss_ce: 0.2085, aux.acc_seg: 80.8250, loss: 0.6109 2023-11-13 17:08:06,001 - mmseg - INFO - Iter [19550/160000] lr: 5.267e-05, eta: 9:39:52, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4034, decode.acc_seg: 84.2636, aux.loss_ce: 0.2067, aux.acc_seg: 80.9630, loss: 0.6101 2023-11-13 17:08:18,153 - mmseg - INFO - Iter [19600/160000] lr: 5.265e-05, eta: 9:39:38, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4100, decode.acc_seg: 83.8889, aux.loss_ce: 0.2127, aux.acc_seg: 80.3011, loss: 0.6227 2023-11-13 17:08:29,762 - mmseg - INFO - Iter [19650/160000] lr: 5.263e-05, eta: 9:39:20, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4084, decode.acc_seg: 84.1321, aux.loss_ce: 0.2107, aux.acc_seg: 80.8662, loss: 0.6191 2023-11-13 17:08:41,956 - mmseg - INFO - Iter [19700/160000] lr: 5.261e-05, eta: 9:39:06, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4212, decode.acc_seg: 83.6583, aux.loss_ce: 0.2156, aux.acc_seg: 79.8355, loss: 0.6367 2023-11-13 17:08:53,590 - mmseg - INFO - Iter [19750/160000] lr: 5.259e-05, eta: 9:38:48, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4518, decode.acc_seg: 82.2458, aux.loss_ce: 0.2288, aux.acc_seg: 78.9324, loss: 0.6806 2023-11-13 17:09:05,258 - mmseg - INFO - Iter [19800/160000] lr: 5.258e-05, eta: 9:38:31, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4138, decode.acc_seg: 83.7042, aux.loss_ce: 0.2137, aux.acc_seg: 80.0615, loss: 0.6275 2023-11-13 17:09:17,376 - mmseg - INFO - Iter [19850/160000] lr: 5.256e-05, eta: 9:38:17, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4180, decode.acc_seg: 83.6421, aux.loss_ce: 0.2143, aux.acc_seg: 80.0651, loss: 0.6323 2023-11-13 17:09:29,743 - mmseg - INFO - Iter [19900/160000] lr: 5.254e-05, eta: 9:38:04, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4116, decode.acc_seg: 83.5043, aux.loss_ce: 0.2080, aux.acc_seg: 80.4958, loss: 0.6196 2023-11-13 17:09:42,336 - mmseg - INFO - Iter [19950/160000] lr: 5.252e-05, eta: 9:37:53, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4128, decode.acc_seg: 84.1096, aux.loss_ce: 0.2166, aux.acc_seg: 80.3074, loss: 0.6293 2023-11-13 17:09:54,982 - mmseg - INFO - Saving checkpoint at 20000 iterations 2023-11-13 17:09:57,743 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:09:57,743 - mmseg - INFO - Iter [20000/160000] lr: 5.250e-05, eta: 9:38:02, time: 0.309, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3945, decode.acc_seg: 84.6736, aux.loss_ce: 0.2029, aux.acc_seg: 81.2650, loss: 0.5975 2023-11-13 17:10:09,485 - mmseg - INFO - Iter [20050/160000] lr: 5.248e-05, eta: 9:37:45, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4104, decode.acc_seg: 83.7669, aux.loss_ce: 0.2080, aux.acc_seg: 80.3789, loss: 0.6184 2023-11-13 17:10:21,112 - mmseg - INFO - Iter [20100/160000] lr: 5.246e-05, eta: 9:37:28, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3929, decode.acc_seg: 84.7627, aux.loss_ce: 0.2046, aux.acc_seg: 81.2524, loss: 0.5975 2023-11-13 17:10:32,823 - mmseg - INFO - Iter [20150/160000] lr: 5.244e-05, eta: 9:37:10, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4151, decode.acc_seg: 83.2732, aux.loss_ce: 0.2203, aux.acc_seg: 79.2780, loss: 0.6354 2023-11-13 17:10:44,593 - mmseg - INFO - Iter [20200/160000] lr: 5.243e-05, eta: 9:36:54, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4432, decode.acc_seg: 82.8812, aux.loss_ce: 0.2265, aux.acc_seg: 79.4592, loss: 0.6698 2023-11-13 17:10:59,272 - mmseg - INFO - Iter [20250/160000] lr: 5.241e-05, eta: 9:36:57, time: 0.294, data_time: 0.049, memory: 5958, decode.loss_ce: 0.3844, decode.acc_seg: 84.6721, aux.loss_ce: 0.1993, aux.acc_seg: 81.4241, loss: 0.5837 2023-11-13 17:11:10,914 - mmseg - INFO - Iter [20300/160000] lr: 5.239e-05, eta: 9:36:40, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3893, decode.acc_seg: 84.3372, aux.loss_ce: 0.2109, aux.acc_seg: 80.4442, loss: 0.6003 2023-11-13 17:11:23,416 - mmseg - INFO - Iter [20350/160000] lr: 5.237e-05, eta: 9:36:28, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4041, decode.acc_seg: 84.1562, aux.loss_ce: 0.2149, aux.acc_seg: 80.2938, loss: 0.6190 2023-11-13 17:11:36,152 - mmseg - INFO - Iter [20400/160000] lr: 5.235e-05, eta: 9:36:18, time: 0.254, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3783, decode.acc_seg: 85.1215, aux.loss_ce: 0.1963, aux.acc_seg: 81.8489, loss: 0.5746 2023-11-13 17:11:48,698 - mmseg - INFO - Iter [20450/160000] lr: 5.233e-05, eta: 9:36:07, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3930, decode.acc_seg: 84.8467, aux.loss_ce: 0.1977, aux.acc_seg: 81.8427, loss: 0.5908 2023-11-13 17:12:00,753 - mmseg - INFO - Iter [20500/160000] lr: 5.231e-05, eta: 9:35:52, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4206, decode.acc_seg: 83.8061, aux.loss_ce: 0.2194, aux.acc_seg: 80.1119, loss: 0.6400 2023-11-13 17:12:12,568 - mmseg - INFO - Iter [20550/160000] lr: 5.229e-05, eta: 9:35:36, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4012, decode.acc_seg: 84.4550, aux.loss_ce: 0.2067, aux.acc_seg: 81.2616, loss: 0.6079 2023-11-13 17:12:24,272 - mmseg - INFO - Iter [20600/160000] lr: 5.228e-05, eta: 9:35:19, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3923, decode.acc_seg: 84.8522, aux.loss_ce: 0.2103, aux.acc_seg: 80.8816, loss: 0.6026 2023-11-13 17:12:35,919 - mmseg - INFO - Iter [20650/160000] lr: 5.226e-05, eta: 9:35:02, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4106, decode.acc_seg: 84.1731, aux.loss_ce: 0.2068, aux.acc_seg: 80.9488, loss: 0.6174 2023-11-13 17:12:47,623 - mmseg - INFO - Iter [20700/160000] lr: 5.224e-05, eta: 9:34:45, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3853, decode.acc_seg: 85.2263, aux.loss_ce: 0.2029, aux.acc_seg: 81.5871, loss: 0.5882 2023-11-13 17:12:59,436 - mmseg - INFO - Iter [20750/160000] lr: 5.222e-05, eta: 9:34:29, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4002, decode.acc_seg: 84.5264, aux.loss_ce: 0.2026, aux.acc_seg: 81.1003, loss: 0.6027 2023-11-13 17:13:11,649 - mmseg - INFO - Iter [20800/160000] lr: 5.220e-05, eta: 9:34:15, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3885, decode.acc_seg: 84.6217, aux.loss_ce: 0.2052, aux.acc_seg: 80.5883, loss: 0.5937 2023-11-13 17:13:23,479 - mmseg - INFO - Iter [20850/160000] lr: 5.218e-05, eta: 9:33:59, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3764, decode.acc_seg: 85.0300, aux.loss_ce: 0.2003, aux.acc_seg: 81.1300, loss: 0.5767 2023-11-13 17:13:35,098 - mmseg - INFO - Iter [20900/160000] lr: 5.216e-05, eta: 9:33:42, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4131, decode.acc_seg: 83.4090, aux.loss_ce: 0.2159, aux.acc_seg: 80.3115, loss: 0.6291 2023-11-13 17:13:46,703 - mmseg - INFO - Iter [20950/160000] lr: 5.214e-05, eta: 9:33:24, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4189, decode.acc_seg: 83.7092, aux.loss_ce: 0.2159, aux.acc_seg: 79.8322, loss: 0.6348 2023-11-13 17:13:58,360 - mmseg - INFO - Saving checkpoint at 21000 iterations 2023-11-13 17:14:00,856 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:14:00,856 - mmseg - INFO - Iter [21000/160000] lr: 5.213e-05, eta: 9:33:24, time: 0.283, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4213, decode.acc_seg: 83.5275, aux.loss_ce: 0.2157, aux.acc_seg: 79.7085, loss: 0.6369 2023-11-13 17:14:12,862 - mmseg - INFO - Iter [21050/160000] lr: 5.211e-05, eta: 9:33:09, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4000, decode.acc_seg: 83.7232, aux.loss_ce: 0.2010, aux.acc_seg: 80.9220, loss: 0.6010 2023-11-13 17:14:24,597 - mmseg - INFO - Iter [21100/160000] lr: 5.209e-05, eta: 9:32:52, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3934, decode.acc_seg: 84.4936, aux.loss_ce: 0.2008, aux.acc_seg: 81.3022, loss: 0.5942 2023-11-13 17:14:36,247 - mmseg - INFO - Iter [21150/160000] lr: 5.207e-05, eta: 9:32:35, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3842, decode.acc_seg: 84.8381, aux.loss_ce: 0.2016, aux.acc_seg: 81.0697, loss: 0.5857 2023-11-13 17:14:48,446 - mmseg - INFO - Iter [21200/160000] lr: 5.205e-05, eta: 9:32:22, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4070, decode.acc_seg: 84.0776, aux.loss_ce: 0.2125, aux.acc_seg: 80.5126, loss: 0.6194 2023-11-13 17:15:01,596 - mmseg - INFO - Iter [21250/160000] lr: 5.203e-05, eta: 9:32:14, time: 0.263, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3918, decode.acc_seg: 84.1462, aux.loss_ce: 0.2016, aux.acc_seg: 80.9715, loss: 0.5934 2023-11-13 17:15:13,466 - mmseg - INFO - Iter [21300/160000] lr: 5.201e-05, eta: 9:31:59, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4162, decode.acc_seg: 83.4667, aux.loss_ce: 0.2136, aux.acc_seg: 80.1250, loss: 0.6298 2023-11-13 17:15:25,079 - mmseg - INFO - Iter [21350/160000] lr: 5.199e-05, eta: 9:31:41, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4258, decode.acc_seg: 83.3778, aux.loss_ce: 0.2225, aux.acc_seg: 79.4724, loss: 0.6483 2023-11-13 17:15:36,937 - mmseg - INFO - Iter [21400/160000] lr: 5.198e-05, eta: 9:31:26, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4195, decode.acc_seg: 83.5782, aux.loss_ce: 0.2167, aux.acc_seg: 79.7854, loss: 0.6362 2023-11-13 17:15:48,713 - mmseg - INFO - Iter [21450/160000] lr: 5.196e-05, eta: 9:31:10, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4349, decode.acc_seg: 83.1824, aux.loss_ce: 0.2239, aux.acc_seg: 79.3115, loss: 0.6588 2023-11-13 17:16:02,797 - mmseg - INFO - Iter [21500/160000] lr: 5.194e-05, eta: 9:31:08, time: 0.282, data_time: 0.049, memory: 5958, decode.loss_ce: 0.3887, decode.acc_seg: 84.8329, aux.loss_ce: 0.2050, aux.acc_seg: 80.9056, loss: 0.5937 2023-11-13 17:16:14,522 - mmseg - INFO - Iter [21550/160000] lr: 5.192e-05, eta: 9:30:52, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3880, decode.acc_seg: 84.5678, aux.loss_ce: 0.2074, aux.acc_seg: 80.9175, loss: 0.5953 2023-11-13 17:16:26,150 - mmseg - INFO - Iter [21600/160000] lr: 5.190e-05, eta: 9:30:35, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3787, decode.acc_seg: 85.2183, aux.loss_ce: 0.1971, aux.acc_seg: 81.7707, loss: 0.5758 2023-11-13 17:16:38,025 - mmseg - INFO - Iter [21650/160000] lr: 5.188e-05, eta: 9:30:19, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3733, decode.acc_seg: 85.0623, aux.loss_ce: 0.1947, aux.acc_seg: 81.4377, loss: 0.5680 2023-11-13 17:16:49,813 - mmseg - INFO - Iter [21700/160000] lr: 5.186e-05, eta: 9:30:03, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4000, decode.acc_seg: 84.0193, aux.loss_ce: 0.2088, aux.acc_seg: 80.1784, loss: 0.6088 2023-11-13 17:17:02,173 - mmseg - INFO - Iter [21750/160000] lr: 5.184e-05, eta: 9:29:50, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3749, decode.acc_seg: 85.4326, aux.loss_ce: 0.1961, aux.acc_seg: 81.7755, loss: 0.5710 2023-11-13 17:17:14,801 - mmseg - INFO - Iter [21800/160000] lr: 5.183e-05, eta: 9:29:40, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4067, decode.acc_seg: 84.1266, aux.loss_ce: 0.2114, aux.acc_seg: 80.5033, loss: 0.6180 2023-11-13 17:17:26,459 - mmseg - INFO - Iter [21850/160000] lr: 5.181e-05, eta: 9:29:23, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3986, decode.acc_seg: 84.7029, aux.loss_ce: 0.2144, aux.acc_seg: 80.9255, loss: 0.6130 2023-11-13 17:17:38,316 - mmseg - INFO - Iter [21900/160000] lr: 5.179e-05, eta: 9:29:08, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4076, decode.acc_seg: 84.3196, aux.loss_ce: 0.2069, aux.acc_seg: 80.9627, loss: 0.6145 2023-11-13 17:17:50,390 - mmseg - INFO - Iter [21950/160000] lr: 5.177e-05, eta: 9:28:53, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3770, decode.acc_seg: 85.0490, aux.loss_ce: 0.1975, aux.acc_seg: 81.4423, loss: 0.5746 2023-11-13 17:18:03,181 - mmseg - INFO - Saving checkpoint at 22000 iterations 2023-11-13 17:18:05,834 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:18:05,834 - mmseg - INFO - Iter [22000/160000] lr: 5.175e-05, eta: 9:29:00, time: 0.309, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3913, decode.acc_seg: 84.7029, aux.loss_ce: 0.2016, aux.acc_seg: 81.3456, loss: 0.5928 2023-11-13 17:18:17,830 - mmseg - INFO - Iter [22050/160000] lr: 5.173e-05, eta: 9:28:45, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3924, decode.acc_seg: 84.3424, aux.loss_ce: 0.2092, aux.acc_seg: 80.2407, loss: 0.6017 2023-11-13 17:18:29,725 - mmseg - INFO - Iter [22100/160000] lr: 5.171e-05, eta: 9:28:30, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3956, decode.acc_seg: 83.8966, aux.loss_ce: 0.2063, aux.acc_seg: 79.9735, loss: 0.6019 2023-11-13 17:18:41,572 - mmseg - INFO - Iter [22150/160000] lr: 5.169e-05, eta: 9:28:15, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3916, decode.acc_seg: 84.4135, aux.loss_ce: 0.2041, aux.acc_seg: 80.7491, loss: 0.5957 2023-11-13 17:18:53,926 - mmseg - INFO - Iter [22200/160000] lr: 5.168e-05, eta: 9:28:02, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4047, decode.acc_seg: 84.5634, aux.loss_ce: 0.2110, aux.acc_seg: 80.7048, loss: 0.6157 2023-11-13 17:19:05,592 - mmseg - INFO - Iter [22250/160000] lr: 5.166e-05, eta: 9:27:45, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4200, decode.acc_seg: 83.5174, aux.loss_ce: 0.2156, aux.acc_seg: 80.1061, loss: 0.6355 2023-11-13 17:19:17,396 - mmseg - INFO - Iter [22300/160000] lr: 5.164e-05, eta: 9:27:30, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3891, decode.acc_seg: 84.5500, aux.loss_ce: 0.2026, aux.acc_seg: 80.8032, loss: 0.5916 2023-11-13 17:19:30,109 - mmseg - INFO - Iter [22350/160000] lr: 5.162e-05, eta: 9:27:19, time: 0.254, data_time: 0.006, memory: 5958, decode.loss_ce: 0.3973, decode.acc_seg: 84.6107, aux.loss_ce: 0.2026, aux.acc_seg: 81.3035, loss: 0.5999 2023-11-13 17:19:41,832 - mmseg - INFO - Iter [22400/160000] lr: 5.160e-05, eta: 9:27:03, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3910, decode.acc_seg: 84.6803, aux.loss_ce: 0.2026, aux.acc_seg: 81.5167, loss: 0.5936 2023-11-13 17:19:54,864 - mmseg - INFO - Iter [22450/160000] lr: 5.158e-05, eta: 9:26:55, time: 0.261, data_time: 0.006, memory: 5958, decode.loss_ce: 0.3981, decode.acc_seg: 84.6387, aux.loss_ce: 0.2102, aux.acc_seg: 80.7218, loss: 0.6083 2023-11-13 17:20:07,377 - mmseg - INFO - Iter [22500/160000] lr: 5.156e-05, eta: 9:26:43, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4043, decode.acc_seg: 84.2404, aux.loss_ce: 0.2104, aux.acc_seg: 80.4279, loss: 0.6147 2023-11-13 17:20:19,837 - mmseg - INFO - Iter [22550/160000] lr: 5.154e-05, eta: 9:26:31, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3820, decode.acc_seg: 85.0693, aux.loss_ce: 0.1945, aux.acc_seg: 82.0325, loss: 0.5764 2023-11-13 17:20:32,374 - mmseg - INFO - Iter [22600/160000] lr: 5.153e-05, eta: 9:26:20, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3685, decode.acc_seg: 84.5314, aux.loss_ce: 0.1924, aux.acc_seg: 81.5160, loss: 0.5610 2023-11-13 17:20:43,941 - mmseg - INFO - Iter [22650/160000] lr: 5.151e-05, eta: 9:26:03, time: 0.231, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4064, decode.acc_seg: 84.1380, aux.loss_ce: 0.2137, aux.acc_seg: 80.3185, loss: 0.6201 2023-11-13 17:20:56,250 - mmseg - INFO - Iter [22700/160000] lr: 5.149e-05, eta: 9:25:50, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4282, decode.acc_seg: 83.0972, aux.loss_ce: 0.2173, aux.acc_seg: 79.7178, loss: 0.6454 2023-11-13 17:21:10,272 - mmseg - INFO - Iter [22750/160000] lr: 5.147e-05, eta: 9:25:48, time: 0.280, data_time: 0.049, memory: 5958, decode.loss_ce: 0.4022, decode.acc_seg: 84.2353, aux.loss_ce: 0.2050, aux.acc_seg: 81.0850, loss: 0.6072 2023-11-13 17:21:23,147 - mmseg - INFO - Iter [22800/160000] lr: 5.145e-05, eta: 9:25:39, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4030, decode.acc_seg: 84.3454, aux.loss_ce: 0.2092, aux.acc_seg: 80.6042, loss: 0.6122 2023-11-13 17:21:35,329 - mmseg - INFO - Iter [22850/160000] lr: 5.143e-05, eta: 9:25:25, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3793, decode.acc_seg: 85.2893, aux.loss_ce: 0.1986, aux.acc_seg: 81.7964, loss: 0.5779 2023-11-13 17:21:47,003 - mmseg - INFO - Iter [22900/160000] lr: 5.141e-05, eta: 9:25:09, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3642, decode.acc_seg: 85.5095, aux.loss_ce: 0.1913, aux.acc_seg: 82.0059, loss: 0.5555 2023-11-13 17:21:58,661 - mmseg - INFO - Iter [22950/160000] lr: 5.139e-05, eta: 9:24:52, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3694, decode.acc_seg: 85.5018, aux.loss_ce: 0.2005, aux.acc_seg: 81.0945, loss: 0.5699 2023-11-13 17:22:10,292 - mmseg - INFO - Saving checkpoint at 23000 iterations 2023-11-13 17:22:12,880 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:22:12,880 - mmseg - INFO - Iter [23000/160000] lr: 5.138e-05, eta: 9:24:51, time: 0.284, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3905, decode.acc_seg: 84.5031, aux.loss_ce: 0.2047, aux.acc_seg: 81.1688, loss: 0.5953 2023-11-13 17:22:25,201 - mmseg - INFO - Iter [23050/160000] lr: 5.136e-05, eta: 9:24:38, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3695, decode.acc_seg: 85.1101, aux.loss_ce: 0.1944, aux.acc_seg: 81.5893, loss: 0.5639 2023-11-13 17:22:37,437 - mmseg - INFO - Iter [23100/160000] lr: 5.134e-05, eta: 9:24:25, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3717, decode.acc_seg: 84.9906, aux.loss_ce: 0.1974, aux.acc_seg: 81.2728, loss: 0.5691 2023-11-13 17:22:49,344 - mmseg - INFO - Iter [23150/160000] lr: 5.132e-05, eta: 9:24:10, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3963, decode.acc_seg: 84.1263, aux.loss_ce: 0.2089, aux.acc_seg: 80.2830, loss: 0.6052 2023-11-13 17:23:01,355 - mmseg - INFO - Iter [23200/160000] lr: 5.130e-05, eta: 9:23:55, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3890, decode.acc_seg: 84.7694, aux.loss_ce: 0.2049, aux.acc_seg: 81.2972, loss: 0.5940 2023-11-13 17:23:13,003 - mmseg - INFO - Iter [23250/160000] lr: 5.128e-05, eta: 9:23:39, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3742, decode.acc_seg: 85.0821, aux.loss_ce: 0.1981, aux.acc_seg: 81.4857, loss: 0.5723 2023-11-13 17:23:25,044 - mmseg - INFO - Iter [23300/160000] lr: 5.126e-05, eta: 9:23:25, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3898, decode.acc_seg: 84.4941, aux.loss_ce: 0.2023, aux.acc_seg: 81.3030, loss: 0.5921 2023-11-13 17:23:36,865 - mmseg - INFO - Iter [23350/160000] lr: 5.124e-05, eta: 9:23:09, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3812, decode.acc_seg: 85.1882, aux.loss_ce: 0.2020, aux.acc_seg: 81.8546, loss: 0.5832 2023-11-13 17:23:49,509 - mmseg - INFO - Iter [23400/160000] lr: 5.123e-05, eta: 9:22:58, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3818, decode.acc_seg: 85.1626, aux.loss_ce: 0.1973, aux.acc_seg: 82.0916, loss: 0.5790 2023-11-13 17:24:01,208 - mmseg - INFO - Iter [23450/160000] lr: 5.121e-05, eta: 9:22:42, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3906, decode.acc_seg: 84.5143, aux.loss_ce: 0.2005, aux.acc_seg: 80.6951, loss: 0.5911 2023-11-13 17:24:13,130 - mmseg - INFO - Iter [23500/160000] lr: 5.119e-05, eta: 9:22:27, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4012, decode.acc_seg: 84.2792, aux.loss_ce: 0.2038, aux.acc_seg: 80.9877, loss: 0.6049 2023-11-13 17:24:26,107 - mmseg - INFO - Iter [23550/160000] lr: 5.117e-05, eta: 9:22:18, time: 0.260, data_time: 0.006, memory: 5958, decode.loss_ce: 0.3937, decode.acc_seg: 84.9356, aux.loss_ce: 0.2030, aux.acc_seg: 81.3019, loss: 0.5966 2023-11-13 17:24:37,711 - mmseg - INFO - Iter [23600/160000] lr: 5.115e-05, eta: 9:22:02, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3654, decode.acc_seg: 85.3176, aux.loss_ce: 0.1936, aux.acc_seg: 81.9980, loss: 0.5590 2023-11-13 17:24:49,653 - mmseg - INFO - Iter [23650/160000] lr: 5.113e-05, eta: 9:21:47, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3711, decode.acc_seg: 85.6342, aux.loss_ce: 0.1948, aux.acc_seg: 82.1435, loss: 0.5659 2023-11-13 17:25:01,516 - mmseg - INFO - Iter [23700/160000] lr: 5.111e-05, eta: 9:21:32, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4022, decode.acc_seg: 84.2573, aux.loss_ce: 0.2080, aux.acc_seg: 80.7058, loss: 0.6102 2023-11-13 17:25:13,245 - mmseg - INFO - Iter [23750/160000] lr: 5.109e-05, eta: 9:21:16, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4004, decode.acc_seg: 83.8157, aux.loss_ce: 0.2028, aux.acc_seg: 80.8123, loss: 0.6032 2023-11-13 17:25:25,266 - mmseg - INFO - Iter [23800/160000] lr: 5.108e-05, eta: 9:21:01, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3839, decode.acc_seg: 84.8363, aux.loss_ce: 0.1948, aux.acc_seg: 81.5277, loss: 0.5788 2023-11-13 17:25:37,045 - mmseg - INFO - Iter [23850/160000] lr: 5.106e-05, eta: 9:20:45, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3835, decode.acc_seg: 84.9300, aux.loss_ce: 0.2008, aux.acc_seg: 81.1721, loss: 0.5843 2023-11-13 17:25:48,995 - mmseg - INFO - Iter [23900/160000] lr: 5.104e-05, eta: 9:20:31, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3868, decode.acc_seg: 84.7933, aux.loss_ce: 0.2073, aux.acc_seg: 80.7411, loss: 0.5941 2023-11-13 17:26:01,478 - mmseg - INFO - Iter [23950/160000] lr: 5.102e-05, eta: 9:20:19, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3797, decode.acc_seg: 84.4397, aux.loss_ce: 0.2028, aux.acc_seg: 80.7679, loss: 0.5825 2023-11-13 17:26:15,989 - mmseg - INFO - Saving checkpoint at 24000 iterations 2023-11-13 17:26:18,587 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:26:18,587 - mmseg - INFO - Iter [24000/160000] lr: 5.100e-05, eta: 9:20:34, time: 0.342, data_time: 0.049, memory: 5958, decode.loss_ce: 0.3964, decode.acc_seg: 84.3299, aux.loss_ce: 0.2046, aux.acc_seg: 80.9520, loss: 0.6009 2023-11-13 17:26:30,520 - mmseg - INFO - Iter [24050/160000] lr: 5.098e-05, eta: 9:20:19, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3699, decode.acc_seg: 85.2684, aux.loss_ce: 0.1989, aux.acc_seg: 81.4317, loss: 0.5688 2023-11-13 17:26:42,899 - mmseg - INFO - Iter [24100/160000] lr: 5.096e-05, eta: 9:20:07, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3661, decode.acc_seg: 85.4591, aux.loss_ce: 0.1964, aux.acc_seg: 81.6598, loss: 0.5625 2023-11-13 17:26:55,741 - mmseg - INFO - Iter [24150/160000] lr: 5.094e-05, eta: 9:19:57, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3697, decode.acc_seg: 85.1523, aux.loss_ce: 0.1927, aux.acc_seg: 81.5111, loss: 0.5624 2023-11-13 17:27:07,916 - mmseg - INFO - Iter [24200/160000] lr: 5.093e-05, eta: 9:19:44, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3840, decode.acc_seg: 84.6625, aux.loss_ce: 0.2002, aux.acc_seg: 80.9928, loss: 0.5842 2023-11-13 17:27:19,572 - mmseg - INFO - Iter [24250/160000] lr: 5.091e-05, eta: 9:19:27, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3721, decode.acc_seg: 85.4473, aux.loss_ce: 0.1980, aux.acc_seg: 81.4896, loss: 0.5701 2023-11-13 17:27:31,738 - mmseg - INFO - Iter [24300/160000] lr: 5.089e-05, eta: 9:19:14, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3795, decode.acc_seg: 85.1994, aux.loss_ce: 0.1984, aux.acc_seg: 81.6302, loss: 0.5779 2023-11-13 17:27:43,312 - mmseg - INFO - Iter [24350/160000] lr: 5.087e-05, eta: 9:18:57, time: 0.231, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3549, decode.acc_seg: 85.9003, aux.loss_ce: 0.1883, aux.acc_seg: 82.3522, loss: 0.5432 2023-11-13 17:27:55,869 - mmseg - INFO - Iter [24400/160000] lr: 5.085e-05, eta: 9:18:46, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3835, decode.acc_seg: 85.3179, aux.loss_ce: 0.2010, aux.acc_seg: 81.7129, loss: 0.5846 2023-11-13 17:28:07,509 - mmseg - INFO - Iter [24450/160000] lr: 5.083e-05, eta: 9:18:29, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4095, decode.acc_seg: 84.3272, aux.loss_ce: 0.2172, aux.acc_seg: 80.6667, loss: 0.6267 2023-11-13 17:28:19,181 - mmseg - INFO - Iter [24500/160000] lr: 5.081e-05, eta: 9:18:13, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3896, decode.acc_seg: 85.0834, aux.loss_ce: 0.2045, aux.acc_seg: 81.1309, loss: 0.5941 2023-11-13 17:28:31,009 - mmseg - INFO - Iter [24550/160000] lr: 5.079e-05, eta: 9:17:58, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.4045, decode.acc_seg: 83.9872, aux.loss_ce: 0.2079, aux.acc_seg: 80.4288, loss: 0.6125 2023-11-13 17:28:43,145 - mmseg - INFO - Iter [24600/160000] lr: 5.078e-05, eta: 9:17:44, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3882, decode.acc_seg: 85.4837, aux.loss_ce: 0.1973, aux.acc_seg: 82.0615, loss: 0.5855 2023-11-13 17:28:56,511 - mmseg - INFO - Iter [24650/160000] lr: 5.076e-05, eta: 9:17:38, time: 0.267, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4112, decode.acc_seg: 84.3269, aux.loss_ce: 0.2101, aux.acc_seg: 80.5356, loss: 0.6213 2023-11-13 17:29:08,151 - mmseg - INFO - Iter [24700/160000] lr: 5.074e-05, eta: 9:17:21, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3625, decode.acc_seg: 85.4216, aux.loss_ce: 0.1929, aux.acc_seg: 81.7435, loss: 0.5554 2023-11-13 17:29:19,834 - mmseg - INFO - Iter [24750/160000] lr: 5.072e-05, eta: 9:17:05, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3822, decode.acc_seg: 84.8541, aux.loss_ce: 0.2010, aux.acc_seg: 81.4026, loss: 0.5833 2023-11-13 17:29:31,442 - mmseg - INFO - Iter [24800/160000] lr: 5.070e-05, eta: 9:16:49, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3687, decode.acc_seg: 85.1367, aux.loss_ce: 0.1939, aux.acc_seg: 81.3590, loss: 0.5626 2023-11-13 17:29:43,303 - mmseg - INFO - Iter [24850/160000] lr: 5.068e-05, eta: 9:16:34, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3969, decode.acc_seg: 84.8585, aux.loss_ce: 0.2068, aux.acc_seg: 81.5664, loss: 0.6037 2023-11-13 17:29:55,135 - mmseg - INFO - Iter [24900/160000] lr: 5.066e-05, eta: 9:16:19, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3760, decode.acc_seg: 85.0765, aux.loss_ce: 0.1961, aux.acc_seg: 81.4287, loss: 0.5722 2023-11-13 17:30:07,661 - mmseg - INFO - Iter [24950/160000] lr: 5.064e-05, eta: 9:16:07, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3844, decode.acc_seg: 84.6779, aux.loss_ce: 0.1999, aux.acc_seg: 80.9300, loss: 0.5843 2023-11-13 17:30:19,410 - mmseg - INFO - Saving checkpoint at 25000 iterations 2023-11-13 17:30:22,076 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:30:22,076 - mmseg - INFO - Iter [25000/160000] lr: 5.063e-05, eta: 9:16:06, time: 0.289, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3804, decode.acc_seg: 85.0377, aux.loss_ce: 0.2020, aux.acc_seg: 81.2575, loss: 0.5824 2023-11-13 17:30:33,946 - mmseg - INFO - Iter [25050/160000] lr: 5.061e-05, eta: 9:15:51, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3808, decode.acc_seg: 85.1083, aux.loss_ce: 0.2057, aux.acc_seg: 80.8397, loss: 0.5864 2023-11-13 17:30:46,056 - mmseg - INFO - Iter [25100/160000] lr: 5.059e-05, eta: 9:15:37, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3844, decode.acc_seg: 84.9462, aux.loss_ce: 0.2038, aux.acc_seg: 81.4922, loss: 0.5882 2023-11-13 17:30:57,719 - mmseg - INFO - Iter [25150/160000] lr: 5.057e-05, eta: 9:15:21, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3809, decode.acc_seg: 84.6852, aux.loss_ce: 0.1958, aux.acc_seg: 81.5970, loss: 0.5767 2023-11-13 17:31:09,612 - mmseg - INFO - Iter [25200/160000] lr: 5.055e-05, eta: 9:15:06, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3568, decode.acc_seg: 85.7547, aux.loss_ce: 0.1893, aux.acc_seg: 82.2566, loss: 0.5461 2023-11-13 17:31:21,293 - mmseg - INFO - Iter [25250/160000] lr: 5.053e-05, eta: 9:14:50, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3678, decode.acc_seg: 85.4887, aux.loss_ce: 0.1947, aux.acc_seg: 82.0178, loss: 0.5625 2023-11-13 17:31:35,435 - mmseg - INFO - Iter [25300/160000] lr: 5.051e-05, eta: 9:14:48, time: 0.283, data_time: 0.051, memory: 5958, decode.loss_ce: 0.3750, decode.acc_seg: 85.0355, aux.loss_ce: 0.2034, aux.acc_seg: 80.5762, loss: 0.5784 2023-11-13 17:31:47,148 - mmseg - INFO - Iter [25350/160000] lr: 5.049e-05, eta: 9:14:32, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3841, decode.acc_seg: 85.1393, aux.loss_ce: 0.2058, aux.acc_seg: 81.0598, loss: 0.5899 2023-11-13 17:31:58,878 - mmseg - INFO - Iter [25400/160000] lr: 5.048e-05, eta: 9:14:16, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3643, decode.acc_seg: 85.5849, aux.loss_ce: 0.1963, aux.acc_seg: 81.6131, loss: 0.5606 2023-11-13 17:32:10,527 - mmseg - INFO - Iter [25450/160000] lr: 5.046e-05, eta: 9:14:00, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3647, decode.acc_seg: 85.4143, aux.loss_ce: 0.1912, aux.acc_seg: 81.9285, loss: 0.5560 2023-11-13 17:32:22,179 - mmseg - INFO - Iter [25500/160000] lr: 5.044e-05, eta: 9:13:44, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3611, decode.acc_seg: 85.4703, aux.loss_ce: 0.1990, aux.acc_seg: 81.4376, loss: 0.5602 2023-11-13 17:32:35,294 - mmseg - INFO - Iter [25550/160000] lr: 5.042e-05, eta: 9:13:36, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3819, decode.acc_seg: 84.7931, aux.loss_ce: 0.2059, aux.acc_seg: 80.6214, loss: 0.5878 2023-11-13 17:32:47,386 - mmseg - INFO - Iter [25600/160000] lr: 5.040e-05, eta: 9:13:22, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3741, decode.acc_seg: 85.3878, aux.loss_ce: 0.2003, aux.acc_seg: 81.5154, loss: 0.5743 2023-11-13 17:32:59,021 - mmseg - INFO - Iter [25650/160000] lr: 5.038e-05, eta: 9:13:06, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3833, decode.acc_seg: 84.5568, aux.loss_ce: 0.2058, aux.acc_seg: 80.3287, loss: 0.5891 2023-11-13 17:33:10,656 - mmseg - INFO - Iter [25700/160000] lr: 5.036e-05, eta: 9:12:50, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3521, decode.acc_seg: 86.2915, aux.loss_ce: 0.1847, aux.acc_seg: 82.8534, loss: 0.5368 2023-11-13 17:33:22,424 - mmseg - INFO - Iter [25750/160000] lr: 5.034e-05, eta: 9:12:34, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3434, decode.acc_seg: 86.1986, aux.loss_ce: 0.1881, aux.acc_seg: 82.0107, loss: 0.5315 2023-11-13 17:33:34,154 - mmseg - INFO - Iter [25800/160000] lr: 5.033e-05, eta: 9:12:19, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3758, decode.acc_seg: 85.5150, aux.loss_ce: 0.1958, aux.acc_seg: 82.0144, loss: 0.5716 2023-11-13 17:33:45,821 - mmseg - INFO - Iter [25850/160000] lr: 5.031e-05, eta: 9:12:03, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3704, decode.acc_seg: 85.4283, aux.loss_ce: 0.1873, aux.acc_seg: 82.4058, loss: 0.5576 2023-11-13 17:33:57,459 - mmseg - INFO - Iter [25900/160000] lr: 5.029e-05, eta: 9:11:47, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3724, decode.acc_seg: 85.4254, aux.loss_ce: 0.1951, aux.acc_seg: 81.9165, loss: 0.5675 2023-11-13 17:34:09,265 - mmseg - INFO - Iter [25950/160000] lr: 5.027e-05, eta: 9:11:32, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3607, decode.acc_seg: 85.4303, aux.loss_ce: 0.1914, aux.acc_seg: 81.8460, loss: 0.5521 2023-11-13 17:34:20,911 - mmseg - INFO - Saving checkpoint at 26000 iterations 2023-11-13 17:34:23,563 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:34:23,564 - mmseg - INFO - Iter [26000/160000] lr: 5.025e-05, eta: 9:11:29, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3669, decode.acc_seg: 85.1445, aux.loss_ce: 0.1910, aux.acc_seg: 81.8961, loss: 0.5579 2023-11-13 17:34:35,431 - mmseg - INFO - Iter [26050/160000] lr: 5.023e-05, eta: 9:11:15, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3583, decode.acc_seg: 85.6610, aux.loss_ce: 0.1877, aux.acc_seg: 82.1104, loss: 0.5460 2023-11-13 17:34:47,832 - mmseg - INFO - Iter [26100/160000] lr: 5.021e-05, eta: 9:11:03, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3678, decode.acc_seg: 85.4540, aux.loss_ce: 0.1970, aux.acc_seg: 82.0413, loss: 0.5648 2023-11-13 17:35:00,023 - mmseg - INFO - Iter [26150/160000] lr: 5.019e-05, eta: 9:10:49, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.4016, decode.acc_seg: 84.4263, aux.loss_ce: 0.2051, aux.acc_seg: 80.9543, loss: 0.6067 2023-11-13 17:35:12,724 - mmseg - INFO - Iter [26200/160000] lr: 5.018e-05, eta: 9:10:39, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3722, decode.acc_seg: 85.2700, aux.loss_ce: 0.1962, aux.acc_seg: 81.5899, loss: 0.5684 2023-11-13 17:35:24,377 - mmseg - INFO - Iter [26250/160000] lr: 5.016e-05, eta: 9:10:23, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3869, decode.acc_seg: 84.8741, aux.loss_ce: 0.2047, aux.acc_seg: 80.8329, loss: 0.5916 2023-11-13 17:35:36,685 - mmseg - INFO - Iter [26300/160000] lr: 5.014e-05, eta: 9:10:10, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3709, decode.acc_seg: 85.3638, aux.loss_ce: 0.1962, aux.acc_seg: 82.1181, loss: 0.5671 2023-11-13 17:35:49,776 - mmseg - INFO - Iter [26350/160000] lr: 5.012e-05, eta: 9:10:02, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3619, decode.acc_seg: 85.6076, aux.loss_ce: 0.1927, aux.acc_seg: 82.1444, loss: 0.5546 2023-11-13 17:36:01,540 - mmseg - INFO - Iter [26400/160000] lr: 5.010e-05, eta: 9:09:47, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3596, decode.acc_seg: 85.8611, aux.loss_ce: 0.1823, aux.acc_seg: 82.6017, loss: 0.5419 2023-11-13 17:36:13,379 - mmseg - INFO - Iter [26450/160000] lr: 5.008e-05, eta: 9:09:32, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3806, decode.acc_seg: 85.0108, aux.loss_ce: 0.1996, aux.acc_seg: 81.3757, loss: 0.5802 2023-11-13 17:36:25,083 - mmseg - INFO - Iter [26500/160000] lr: 5.006e-05, eta: 9:09:16, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3709, decode.acc_seg: 85.4784, aux.loss_ce: 0.1985, aux.acc_seg: 81.4947, loss: 0.5694 2023-11-13 17:36:39,231 - mmseg - INFO - Iter [26550/160000] lr: 5.004e-05, eta: 9:09:13, time: 0.283, data_time: 0.050, memory: 5958, decode.loss_ce: 0.3362, decode.acc_seg: 86.6300, aux.loss_ce: 0.1767, aux.acc_seg: 83.3908, loss: 0.5130 2023-11-13 17:36:51,199 - mmseg - INFO - Iter [26600/160000] lr: 5.003e-05, eta: 9:08:59, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3454, decode.acc_seg: 86.0134, aux.loss_ce: 0.1887, aux.acc_seg: 82.1344, loss: 0.5341 2023-11-13 17:37:02,930 - mmseg - INFO - Iter [26650/160000] lr: 5.001e-05, eta: 9:08:43, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3600, decode.acc_seg: 85.9289, aux.loss_ce: 0.1943, aux.acc_seg: 81.6230, loss: 0.5543 2023-11-13 17:37:15,420 - mmseg - INFO - Iter [26700/160000] lr: 4.999e-05, eta: 9:08:32, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3633, decode.acc_seg: 85.8458, aux.loss_ce: 0.1927, aux.acc_seg: 82.4941, loss: 0.5561 2023-11-13 17:37:27,880 - mmseg - INFO - Iter [26750/160000] lr: 4.997e-05, eta: 9:08:20, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3560, decode.acc_seg: 85.8239, aux.loss_ce: 0.1918, aux.acc_seg: 81.8558, loss: 0.5478 2023-11-13 17:37:39,544 - mmseg - INFO - Iter [26800/160000] lr: 4.995e-05, eta: 9:08:04, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3605, decode.acc_seg: 85.4330, aux.loss_ce: 0.1880, aux.acc_seg: 82.2193, loss: 0.5486 2023-11-13 17:37:51,705 - mmseg - INFO - Iter [26850/160000] lr: 4.993e-05, eta: 9:07:51, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3658, decode.acc_seg: 85.4513, aux.loss_ce: 0.1931, aux.acc_seg: 82.1543, loss: 0.5590 2023-11-13 17:38:03,973 - mmseg - INFO - Iter [26900/160000] lr: 4.991e-05, eta: 9:07:38, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3405, decode.acc_seg: 86.4181, aux.loss_ce: 0.1831, aux.acc_seg: 82.7361, loss: 0.5235 2023-11-13 17:38:16,059 - mmseg - INFO - Iter [26950/160000] lr: 4.989e-05, eta: 9:07:24, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3597, decode.acc_seg: 85.5583, aux.loss_ce: 0.1916, aux.acc_seg: 81.8035, loss: 0.5513 2023-11-13 17:38:27,707 - mmseg - INFO - Saving checkpoint at 27000 iterations 2023-11-13 17:38:30,257 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:38:30,257 - mmseg - INFO - Iter [27000/160000] lr: 4.988e-05, eta: 9:07:21, time: 0.284, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3689, decode.acc_seg: 85.5672, aux.loss_ce: 0.1970, aux.acc_seg: 81.3493, loss: 0.5660 2023-11-13 17:38:41,950 - mmseg - INFO - Iter [27050/160000] lr: 4.986e-05, eta: 9:07:06, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3684, decode.acc_seg: 85.7822, aux.loss_ce: 0.1966, aux.acc_seg: 82.2750, loss: 0.5649 2023-11-13 17:38:53,922 - mmseg - INFO - Iter [27100/160000] lr: 4.984e-05, eta: 9:06:52, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3515, decode.acc_seg: 86.3567, aux.loss_ce: 0.1878, aux.acc_seg: 82.6150, loss: 0.5394 2023-11-13 17:39:06,462 - mmseg - INFO - Iter [27150/160000] lr: 4.982e-05, eta: 9:06:40, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3740, decode.acc_seg: 85.2366, aux.loss_ce: 0.1936, aux.acc_seg: 81.4455, loss: 0.5676 2023-11-13 17:39:18,219 - mmseg - INFO - Iter [27200/160000] lr: 4.980e-05, eta: 9:06:25, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3581, decode.acc_seg: 85.8374, aux.loss_ce: 0.1909, aux.acc_seg: 82.4382, loss: 0.5490 2023-11-13 17:39:30,249 - mmseg - INFO - Iter [27250/160000] lr: 4.978e-05, eta: 9:06:11, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3535, decode.acc_seg: 86.1171, aux.loss_ce: 0.1895, aux.acc_seg: 82.5500, loss: 0.5430 2023-11-13 17:39:42,175 - mmseg - INFO - Iter [27300/160000] lr: 4.976e-05, eta: 9:05:57, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3544, decode.acc_seg: 86.0025, aux.loss_ce: 0.1878, aux.acc_seg: 82.3414, loss: 0.5423 2023-11-13 17:39:53,925 - mmseg - INFO - Iter [27350/160000] lr: 4.974e-05, eta: 9:05:41, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3532, decode.acc_seg: 85.8163, aux.loss_ce: 0.1819, aux.acc_seg: 82.6149, loss: 0.5352 2023-11-13 17:40:05,580 - mmseg - INFO - Iter [27400/160000] lr: 4.973e-05, eta: 9:05:26, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3313, decode.acc_seg: 86.8889, aux.loss_ce: 0.1749, aux.acc_seg: 83.5678, loss: 0.5063 2023-11-13 17:40:17,185 - mmseg - INFO - Iter [27450/160000] lr: 4.971e-05, eta: 9:05:10, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3495, decode.acc_seg: 86.2668, aux.loss_ce: 0.1879, aux.acc_seg: 82.6801, loss: 0.5373 2023-11-13 17:40:29,064 - mmseg - INFO - Iter [27500/160000] lr: 4.969e-05, eta: 9:04:55, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3651, decode.acc_seg: 85.2949, aux.loss_ce: 0.1940, aux.acc_seg: 81.6683, loss: 0.5592 2023-11-13 17:40:40,716 - mmseg - INFO - Iter [27550/160000] lr: 4.967e-05, eta: 9:04:40, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3563, decode.acc_seg: 85.7187, aux.loss_ce: 0.1904, aux.acc_seg: 82.1137, loss: 0.5467 2023-11-13 17:40:52,419 - mmseg - INFO - Iter [27600/160000] lr: 4.965e-05, eta: 9:04:24, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3443, decode.acc_seg: 86.5746, aux.loss_ce: 0.1820, aux.acc_seg: 83.0323, loss: 0.5263 2023-11-13 17:41:04,417 - mmseg - INFO - Iter [27650/160000] lr: 4.963e-05, eta: 9:04:10, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3831, decode.acc_seg: 84.5196, aux.loss_ce: 0.2015, aux.acc_seg: 80.7518, loss: 0.5846 2023-11-13 17:41:16,077 - mmseg - INFO - Iter [27700/160000] lr: 4.961e-05, eta: 9:03:55, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3834, decode.acc_seg: 84.9362, aux.loss_ce: 0.1971, aux.acc_seg: 81.3806, loss: 0.5805 2023-11-13 17:41:27,750 - mmseg - INFO - Iter [27750/160000] lr: 4.959e-05, eta: 9:03:39, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3625, decode.acc_seg: 85.4464, aux.loss_ce: 0.1915, aux.acc_seg: 81.8582, loss: 0.5540 2023-11-13 17:41:41,931 - mmseg - INFO - Iter [27800/160000] lr: 4.958e-05, eta: 9:03:36, time: 0.284, data_time: 0.052, memory: 5958, decode.loss_ce: 0.3550, decode.acc_seg: 85.5362, aux.loss_ce: 0.1855, aux.acc_seg: 82.4234, loss: 0.5404 2023-11-13 17:41:54,164 - mmseg - INFO - Iter [27850/160000] lr: 4.956e-05, eta: 9:03:23, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3444, decode.acc_seg: 86.1652, aux.loss_ce: 0.1915, aux.acc_seg: 81.9935, loss: 0.5359 2023-11-13 17:42:06,409 - mmseg - INFO - Iter [27900/160000] lr: 4.954e-05, eta: 9:03:10, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3315, decode.acc_seg: 86.6811, aux.loss_ce: 0.1812, aux.acc_seg: 82.6485, loss: 0.5127 2023-11-13 17:42:18,084 - mmseg - INFO - Iter [27950/160000] lr: 4.952e-05, eta: 9:02:55, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3454, decode.acc_seg: 86.3305, aux.loss_ce: 0.1888, aux.acc_seg: 81.8235, loss: 0.5343 2023-11-13 17:42:29,719 - mmseg - INFO - Saving checkpoint at 28000 iterations 2023-11-13 17:42:32,175 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:42:32,175 - mmseg - INFO - Iter [28000/160000] lr: 4.950e-05, eta: 9:02:51, time: 0.282, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3435, decode.acc_seg: 86.2795, aux.loss_ce: 0.1884, aux.acc_seg: 82.3928, loss: 0.5319 2023-11-13 17:42:43,827 - mmseg - INFO - Iter [28050/160000] lr: 4.948e-05, eta: 9:02:35, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3460, decode.acc_seg: 86.1785, aux.loss_ce: 0.1863, aux.acc_seg: 82.7524, loss: 0.5323 2023-11-13 17:42:55,493 - mmseg - INFO - Iter [28100/160000] lr: 4.946e-05, eta: 9:02:20, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3450, decode.acc_seg: 86.4563, aux.loss_ce: 0.1828, aux.acc_seg: 82.6062, loss: 0.5278 2023-11-13 17:43:07,097 - mmseg - INFO - Iter [28150/160000] lr: 4.944e-05, eta: 9:02:04, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3334, decode.acc_seg: 86.4775, aux.loss_ce: 0.1781, aux.acc_seg: 82.8359, loss: 0.5115 2023-11-13 17:43:18,726 - mmseg - INFO - Iter [28200/160000] lr: 4.943e-05, eta: 9:01:48, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3467, decode.acc_seg: 86.3092, aux.loss_ce: 0.1803, aux.acc_seg: 82.8333, loss: 0.5270 2023-11-13 17:43:31,975 - mmseg - INFO - Iter [28250/160000] lr: 4.941e-05, eta: 9:01:40, time: 0.265, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3558, decode.acc_seg: 86.1363, aux.loss_ce: 0.1908, aux.acc_seg: 82.5254, loss: 0.5466 2023-11-13 17:43:43,825 - mmseg - INFO - Iter [28300/160000] lr: 4.939e-05, eta: 9:01:26, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3674, decode.acc_seg: 85.9267, aux.loss_ce: 0.1961, aux.acc_seg: 81.9964, loss: 0.5635 2023-11-13 17:43:55,650 - mmseg - INFO - Iter [28350/160000] lr: 4.937e-05, eta: 9:01:11, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3611, decode.acc_seg: 85.7472, aux.loss_ce: 0.1870, aux.acc_seg: 82.4981, loss: 0.5481 2023-11-13 17:44:07,299 - mmseg - INFO - Iter [28400/160000] lr: 4.935e-05, eta: 9:00:55, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3547, decode.acc_seg: 86.1728, aux.loss_ce: 0.1850, aux.acc_seg: 82.9547, loss: 0.5397 2023-11-13 17:44:19,123 - mmseg - INFO - Iter [28450/160000] lr: 4.933e-05, eta: 9:00:41, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3503, decode.acc_seg: 85.8140, aux.loss_ce: 0.1905, aux.acc_seg: 81.7985, loss: 0.5407 2023-11-13 17:44:30,964 - mmseg - INFO - Iter [28500/160000] lr: 4.931e-05, eta: 9:00:26, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3797, decode.acc_seg: 85.5011, aux.loss_ce: 0.1970, aux.acc_seg: 82.2150, loss: 0.5768 2023-11-13 17:44:43,066 - mmseg - INFO - Iter [28550/160000] lr: 4.929e-05, eta: 9:00:13, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3694, decode.acc_seg: 85.4426, aux.loss_ce: 0.1873, aux.acc_seg: 82.1194, loss: 0.5567 2023-11-13 17:44:54,742 - mmseg - INFO - Iter [28600/160000] lr: 4.928e-05, eta: 8:59:57, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3690, decode.acc_seg: 85.3970, aux.loss_ce: 0.1920, aux.acc_seg: 82.0467, loss: 0.5610 2023-11-13 17:45:06,478 - mmseg - INFO - Iter [28650/160000] lr: 4.926e-05, eta: 8:59:42, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3694, decode.acc_seg: 85.5229, aux.loss_ce: 0.1923, aux.acc_seg: 81.8200, loss: 0.5617 2023-11-13 17:45:18,136 - mmseg - INFO - Iter [28700/160000] lr: 4.924e-05, eta: 8:59:27, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3756, decode.acc_seg: 85.3994, aux.loss_ce: 0.1927, aux.acc_seg: 82.1046, loss: 0.5683 2023-11-13 17:45:30,785 - mmseg - INFO - Iter [28750/160000] lr: 4.922e-05, eta: 8:59:16, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3418, decode.acc_seg: 86.3822, aux.loss_ce: 0.1876, aux.acc_seg: 82.0762, loss: 0.5294 2023-11-13 17:45:43,992 - mmseg - INFO - Iter [28800/160000] lr: 4.920e-05, eta: 8:59:08, time: 0.264, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3708, decode.acc_seg: 85.6007, aux.loss_ce: 0.1908, aux.acc_seg: 82.3132, loss: 0.5616 2023-11-13 17:45:56,402 - mmseg - INFO - Iter [28850/160000] lr: 4.918e-05, eta: 8:58:56, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3783, decode.acc_seg: 85.3664, aux.loss_ce: 0.2029, aux.acc_seg: 81.2836, loss: 0.5812 2023-11-13 17:46:09,102 - mmseg - INFO - Iter [28900/160000] lr: 4.916e-05, eta: 8:58:45, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3765, decode.acc_seg: 85.6466, aux.loss_ce: 0.1957, aux.acc_seg: 81.9986, loss: 0.5722 2023-11-13 17:46:20,778 - mmseg - INFO - Iter [28950/160000] lr: 4.914e-05, eta: 8:58:30, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3619, decode.acc_seg: 85.6641, aux.loss_ce: 0.1897, aux.acc_seg: 82.3920, loss: 0.5516 2023-11-13 17:46:32,410 - mmseg - INFO - Saving checkpoint at 29000 iterations 2023-11-13 17:46:35,037 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:46:35,037 - mmseg - INFO - Iter [29000/160000] lr: 4.913e-05, eta: 8:58:26, time: 0.285, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3702, decode.acc_seg: 85.4144, aux.loss_ce: 0.1931, aux.acc_seg: 81.8430, loss: 0.5633 2023-11-13 17:46:50,234 - mmseg - INFO - Iter [29050/160000] lr: 4.911e-05, eta: 8:58:27, time: 0.303, data_time: 0.049, memory: 5958, decode.loss_ce: 0.3545, decode.acc_seg: 85.7178, aux.loss_ce: 0.1885, aux.acc_seg: 82.4171, loss: 0.5430 2023-11-13 17:47:02,885 - mmseg - INFO - Iter [29100/160000] lr: 4.909e-05, eta: 8:58:16, time: 0.253, data_time: 0.006, memory: 5958, decode.loss_ce: 0.3385, decode.acc_seg: 86.7417, aux.loss_ce: 0.1824, aux.acc_seg: 83.0219, loss: 0.5209 2023-11-13 17:47:14,583 - mmseg - INFO - Iter [29150/160000] lr: 4.907e-05, eta: 8:58:01, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3463, decode.acc_seg: 86.2390, aux.loss_ce: 0.1856, aux.acc_seg: 82.6199, loss: 0.5319 2023-11-13 17:47:26,431 - mmseg - INFO - Iter [29200/160000] lr: 4.905e-05, eta: 8:57:46, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3475, decode.acc_seg: 85.9385, aux.loss_ce: 0.1887, aux.acc_seg: 81.9136, loss: 0.5363 2023-11-13 17:47:38,187 - mmseg - INFO - Iter [29250/160000] lr: 4.903e-05, eta: 8:57:31, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3341, decode.acc_seg: 86.3466, aux.loss_ce: 0.1871, aux.acc_seg: 82.6172, loss: 0.5212 2023-11-13 17:47:50,112 - mmseg - INFO - Iter [29300/160000] lr: 4.901e-05, eta: 8:57:17, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3391, decode.acc_seg: 86.2650, aux.loss_ce: 0.1886, aux.acc_seg: 82.3925, loss: 0.5277 2023-11-13 17:48:01,892 - mmseg - INFO - Iter [29350/160000] lr: 4.899e-05, eta: 8:57:02, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3360, decode.acc_seg: 86.5772, aux.loss_ce: 0.1821, aux.acc_seg: 83.0901, loss: 0.5180 2023-11-13 17:48:13,514 - mmseg - INFO - Iter [29400/160000] lr: 4.898e-05, eta: 8:56:47, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3593, decode.acc_seg: 85.9149, aux.loss_ce: 0.1880, aux.acc_seg: 82.5857, loss: 0.5473 2023-11-13 17:48:25,154 - mmseg - INFO - Iter [29450/160000] lr: 4.896e-05, eta: 8:56:32, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3369, decode.acc_seg: 86.4683, aux.loss_ce: 0.1785, aux.acc_seg: 83.0160, loss: 0.5154 2023-11-13 17:48:36,790 - mmseg - INFO - Iter [29500/160000] lr: 4.894e-05, eta: 8:56:16, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3346, decode.acc_seg: 86.6826, aux.loss_ce: 0.1865, aux.acc_seg: 82.2269, loss: 0.5211 2023-11-13 17:48:48,501 - mmseg - INFO - Iter [29550/160000] lr: 4.892e-05, eta: 8:56:01, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3596, decode.acc_seg: 85.8909, aux.loss_ce: 0.1926, aux.acc_seg: 82.3460, loss: 0.5522 2023-11-13 17:49:00,714 - mmseg - INFO - Iter [29600/160000] lr: 4.890e-05, eta: 8:55:48, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3438, decode.acc_seg: 86.3135, aux.loss_ce: 0.1835, aux.acc_seg: 82.3787, loss: 0.5273 2023-11-13 17:49:12,341 - mmseg - INFO - Iter [29650/160000] lr: 4.888e-05, eta: 8:55:33, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3410, decode.acc_seg: 86.3574, aux.loss_ce: 0.1798, aux.acc_seg: 83.1882, loss: 0.5208 2023-11-13 17:49:24,093 - mmseg - INFO - Iter [29700/160000] lr: 4.886e-05, eta: 8:55:18, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3310, decode.acc_seg: 86.6429, aux.loss_ce: 0.1791, aux.acc_seg: 83.2701, loss: 0.5101 2023-11-13 17:49:35,725 - mmseg - INFO - Iter [29750/160000] lr: 4.884e-05, eta: 8:55:03, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3262, decode.acc_seg: 86.7125, aux.loss_ce: 0.1790, aux.acc_seg: 82.8524, loss: 0.5052 2023-11-13 17:49:47,387 - mmseg - INFO - Iter [29800/160000] lr: 4.883e-05, eta: 8:54:47, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3480, decode.acc_seg: 86.0977, aux.loss_ce: 0.1841, aux.acc_seg: 82.7223, loss: 0.5321 2023-11-13 17:49:59,254 - mmseg - INFO - Iter [29850/160000] lr: 4.881e-05, eta: 8:54:33, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3714, decode.acc_seg: 85.1847, aux.loss_ce: 0.1936, aux.acc_seg: 81.8474, loss: 0.5650 2023-11-13 17:50:11,585 - mmseg - INFO - Iter [29900/160000] lr: 4.879e-05, eta: 8:54:21, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3325, decode.acc_seg: 86.7993, aux.loss_ce: 0.1847, aux.acc_seg: 82.6957, loss: 0.5172 2023-11-13 17:50:23,229 - mmseg - INFO - Iter [29950/160000] lr: 4.877e-05, eta: 8:54:06, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3528, decode.acc_seg: 86.0244, aux.loss_ce: 0.1887, aux.acc_seg: 82.3229, loss: 0.5416 2023-11-13 17:50:35,389 - mmseg - INFO - Saving checkpoint at 30000 iterations 2023-11-13 17:50:38,309 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:50:38,309 - mmseg - INFO - Iter [30000/160000] lr: 4.875e-05, eta: 8:54:05, time: 0.302, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3360, decode.acc_seg: 86.3366, aux.loss_ce: 0.1835, aux.acc_seg: 82.8283, loss: 0.5195 2023-11-13 17:50:50,110 - mmseg - INFO - Iter [30050/160000] lr: 4.873e-05, eta: 8:53:51, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3412, decode.acc_seg: 86.1290, aux.loss_ce: 0.1836, aux.acc_seg: 82.0361, loss: 0.5248 2023-11-13 17:51:01,755 - mmseg - INFO - Iter [30100/160000] lr: 4.871e-05, eta: 8:53:35, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3402, decode.acc_seg: 86.4888, aux.loss_ce: 0.1802, aux.acc_seg: 83.1236, loss: 0.5203 2023-11-13 17:51:13,820 - mmseg - INFO - Iter [30150/160000] lr: 4.869e-05, eta: 8:53:22, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3550, decode.acc_seg: 86.3599, aux.loss_ce: 0.1855, aux.acc_seg: 82.9762, loss: 0.5405 2023-11-13 17:51:26,966 - mmseg - INFO - Iter [30200/160000] lr: 4.868e-05, eta: 8:53:13, time: 0.263, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3444, decode.acc_seg: 85.9107, aux.loss_ce: 0.1805, aux.acc_seg: 82.5250, loss: 0.5249 2023-11-13 17:51:38,800 - mmseg - INFO - Iter [30250/160000] lr: 4.866e-05, eta: 8:52:59, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3795, decode.acc_seg: 85.0061, aux.loss_ce: 0.1953, aux.acc_seg: 82.0279, loss: 0.5748 2023-11-13 17:51:51,158 - mmseg - INFO - Iter [30300/160000] lr: 4.864e-05, eta: 8:52:47, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3439, decode.acc_seg: 86.4886, aux.loss_ce: 0.1869, aux.acc_seg: 82.3357, loss: 0.5308 2023-11-13 17:52:05,683 - mmseg - INFO - Iter [30350/160000] lr: 4.862e-05, eta: 8:52:43, time: 0.290, data_time: 0.048, memory: 5958, decode.loss_ce: 0.3469, decode.acc_seg: 86.1215, aux.loss_ce: 0.1893, aux.acc_seg: 82.2228, loss: 0.5362 2023-11-13 17:52:17,515 - mmseg - INFO - Iter [30400/160000] lr: 4.860e-05, eta: 8:52:29, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3330, decode.acc_seg: 86.5515, aux.loss_ce: 0.1774, aux.acc_seg: 83.1835, loss: 0.5104 2023-11-13 17:52:29,261 - mmseg - INFO - Iter [30450/160000] lr: 4.858e-05, eta: 8:52:14, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3359, decode.acc_seg: 86.6532, aux.loss_ce: 0.1828, aux.acc_seg: 82.8844, loss: 0.5188 2023-11-13 17:52:40,975 - mmseg - INFO - Iter [30500/160000] lr: 4.856e-05, eta: 8:51:59, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3337, decode.acc_seg: 86.6143, aux.loss_ce: 0.1794, aux.acc_seg: 83.2457, loss: 0.5131 2023-11-13 17:52:52,734 - mmseg - INFO - Iter [30550/160000] lr: 4.854e-05, eta: 8:51:45, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3226, decode.acc_seg: 87.0514, aux.loss_ce: 0.1770, aux.acc_seg: 83.1376, loss: 0.4996 2023-11-13 17:53:04,716 - mmseg - INFO - Iter [30600/160000] lr: 4.853e-05, eta: 8:51:31, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3207, decode.acc_seg: 86.9436, aux.loss_ce: 0.1742, aux.acc_seg: 83.1303, loss: 0.4949 2023-11-13 17:53:16,272 - mmseg - INFO - Iter [30650/160000] lr: 4.851e-05, eta: 8:51:15, time: 0.231, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3401, decode.acc_seg: 86.6226, aux.loss_ce: 0.1873, aux.acc_seg: 82.7847, loss: 0.5274 2023-11-13 17:53:27,920 - mmseg - INFO - Iter [30700/160000] lr: 4.849e-05, eta: 8:51:00, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3449, decode.acc_seg: 86.4385, aux.loss_ce: 0.1825, aux.acc_seg: 82.7820, loss: 0.5274 2023-11-13 17:53:40,189 - mmseg - INFO - Iter [30750/160000] lr: 4.847e-05, eta: 8:50:48, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3321, decode.acc_seg: 86.6651, aux.loss_ce: 0.1786, aux.acc_seg: 83.2120, loss: 0.5108 2023-11-13 17:53:52,423 - mmseg - INFO - Iter [30800/160000] lr: 4.845e-05, eta: 8:50:35, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3467, decode.acc_seg: 86.2590, aux.loss_ce: 0.1845, aux.acc_seg: 82.6575, loss: 0.5312 2023-11-13 17:54:04,244 - mmseg - INFO - Iter [30850/160000] lr: 4.843e-05, eta: 8:50:21, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3433, decode.acc_seg: 86.0579, aux.loss_ce: 0.1871, aux.acc_seg: 82.0377, loss: 0.5304 2023-11-13 17:54:16,156 - mmseg - INFO - Iter [30900/160000] lr: 4.841e-05, eta: 8:50:07, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3487, decode.acc_seg: 86.2436, aux.loss_ce: 0.1771, aux.acc_seg: 83.4181, loss: 0.5257 2023-11-13 17:54:27,965 - mmseg - INFO - Iter [30950/160000] lr: 4.839e-05, eta: 8:49:52, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3469, decode.acc_seg: 86.2048, aux.loss_ce: 0.1873, aux.acc_seg: 82.6825, loss: 0.5342 2023-11-13 17:54:39,823 - mmseg - INFO - Saving checkpoint at 31000 iterations 2023-11-13 17:54:42,479 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:54:42,479 - mmseg - INFO - Iter [31000/160000] lr: 4.838e-05, eta: 8:49:49, time: 0.290, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3579, decode.acc_seg: 86.2156, aux.loss_ce: 0.1841, aux.acc_seg: 83.1644, loss: 0.5419 2023-11-13 17:54:54,231 - mmseg - INFO - Iter [31050/160000] lr: 4.836e-05, eta: 8:49:34, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3337, decode.acc_seg: 86.6003, aux.loss_ce: 0.1823, aux.acc_seg: 83.0824, loss: 0.5160 2023-11-13 17:55:05,863 - mmseg - INFO - Iter [31100/160000] lr: 4.834e-05, eta: 8:49:19, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3323, decode.acc_seg: 86.4363, aux.loss_ce: 0.1770, aux.acc_seg: 83.0510, loss: 0.5093 2023-11-13 17:55:18,716 - mmseg - INFO - Iter [31150/160000] lr: 4.832e-05, eta: 8:49:09, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3393, decode.acc_seg: 86.8549, aux.loss_ce: 0.1842, aux.acc_seg: 83.0237, loss: 0.5235 2023-11-13 17:55:30,526 - mmseg - INFO - Iter [31200/160000] lr: 4.830e-05, eta: 8:48:55, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3432, decode.acc_seg: 86.0269, aux.loss_ce: 0.1863, aux.acc_seg: 82.0387, loss: 0.5295 2023-11-13 17:55:42,342 - mmseg - INFO - Iter [31250/160000] lr: 4.828e-05, eta: 8:48:40, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3635, decode.acc_seg: 85.6297, aux.loss_ce: 0.1927, aux.acc_seg: 82.2198, loss: 0.5561 2023-11-13 17:55:54,355 - mmseg - INFO - Iter [31300/160000] lr: 4.826e-05, eta: 8:48:27, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3337, decode.acc_seg: 86.8202, aux.loss_ce: 0.1820, aux.acc_seg: 83.0405, loss: 0.5158 2023-11-13 17:56:06,585 - mmseg - INFO - Iter [31350/160000] lr: 4.824e-05, eta: 8:48:14, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3544, decode.acc_seg: 86.2341, aux.loss_ce: 0.1886, aux.acc_seg: 82.3210, loss: 0.5429 2023-11-13 17:56:18,788 - mmseg - INFO - Iter [31400/160000] lr: 4.823e-05, eta: 8:48:01, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3329, decode.acc_seg: 86.7346, aux.loss_ce: 0.1758, aux.acc_seg: 83.4192, loss: 0.5086 2023-11-13 17:56:30,880 - mmseg - INFO - Iter [31450/160000] lr: 4.821e-05, eta: 8:47:48, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3625, decode.acc_seg: 85.6794, aux.loss_ce: 0.1980, aux.acc_seg: 81.2184, loss: 0.5605 2023-11-13 17:56:43,171 - mmseg - INFO - Iter [31500/160000] lr: 4.819e-05, eta: 8:47:35, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3503, decode.acc_seg: 85.9680, aux.loss_ce: 0.1880, aux.acc_seg: 82.0413, loss: 0.5383 2023-11-13 17:56:54,879 - mmseg - INFO - Iter [31550/160000] lr: 4.817e-05, eta: 8:47:21, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3408, decode.acc_seg: 86.6162, aux.loss_ce: 0.1802, aux.acc_seg: 83.2620, loss: 0.5210 2023-11-13 17:57:09,090 - mmseg - INFO - Iter [31600/160000] lr: 4.815e-05, eta: 8:47:16, time: 0.284, data_time: 0.049, memory: 5958, decode.loss_ce: 0.3047, decode.acc_seg: 87.2411, aux.loss_ce: 0.1683, aux.acc_seg: 83.2348, loss: 0.4730 2023-11-13 17:57:20,720 - mmseg - INFO - Iter [31650/160000] lr: 4.813e-05, eta: 8:47:01, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3137, decode.acc_seg: 87.3239, aux.loss_ce: 0.1699, aux.acc_seg: 83.8737, loss: 0.4835 2023-11-13 17:57:32,487 - mmseg - INFO - Iter [31700/160000] lr: 4.811e-05, eta: 8:46:46, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3191, decode.acc_seg: 87.5291, aux.loss_ce: 0.1806, aux.acc_seg: 83.2464, loss: 0.4997 2023-11-13 17:57:44,485 - mmseg - INFO - Iter [31750/160000] lr: 4.809e-05, eta: 8:46:33, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3287, decode.acc_seg: 86.7716, aux.loss_ce: 0.1759, aux.acc_seg: 83.2020, loss: 0.5046 2023-11-13 17:57:56,471 - mmseg - INFO - Iter [31800/160000] lr: 4.808e-05, eta: 8:46:19, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3353, decode.acc_seg: 86.9136, aux.loss_ce: 0.1788, aux.acc_seg: 83.3687, loss: 0.5141 2023-11-13 17:58:08,221 - mmseg - INFO - Iter [31850/160000] lr: 4.806e-05, eta: 8:46:04, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3210, decode.acc_seg: 87.4352, aux.loss_ce: 0.1694, aux.acc_seg: 84.1256, loss: 0.4904 2023-11-13 17:58:19,852 - mmseg - INFO - Iter [31900/160000] lr: 4.804e-05, eta: 8:45:49, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3353, decode.acc_seg: 86.7311, aux.loss_ce: 0.1844, aux.acc_seg: 82.6480, loss: 0.5197 2023-11-13 17:58:31,476 - mmseg - INFO - Iter [31950/160000] lr: 4.802e-05, eta: 8:45:34, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3577, decode.acc_seg: 85.7380, aux.loss_ce: 0.1903, aux.acc_seg: 82.0614, loss: 0.5480 2023-11-13 17:58:44,664 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-11-13 17:58:47,329 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:58:47,329 - mmseg - INFO - Iter [32000/160000] lr: 4.800e-05, eta: 8:45:36, time: 0.317, data_time: 0.006, memory: 5958, decode.loss_ce: 0.3346, decode.acc_seg: 86.4989, aux.loss_ce: 0.1814, aux.acc_seg: 82.8316, loss: 0.5160 2023-11-13 17:59:01,502 - mmseg - INFO - per class results: 2023-11-13 17:59:01,507 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.15 | 86.27 | | building | 82.26 | 92.62 | | sky | 94.43 | 96.83 | | floor | 81.34 | 89.0 | | tree | 74.37 | 88.67 | | ceiling | 83.39 | 93.12 | | road | 80.34 | 84.82 | | bed | 89.57 | 96.07 | | windowpane | 62.21 | 81.21 | | grass | 66.47 | 81.87 | | cabinet | 56.64 | 66.66 | | sidewalk | 62.51 | 89.13 | | person | 80.7 | 92.54 | | earth | 36.54 | 47.56 | | door | 52.38 | 66.35 | | table | 58.53 | 75.48 | | mountain | 58.85 | 77.55 | | plant | 52.78 | 64.95 | | curtain | 73.47 | 85.96 | | chair | 56.8 | 69.41 | | car | 83.67 | 92.47 | | water | 57.3 | 73.19 | | painting | 68.05 | 86.18 | | sofa | 66.15 | 83.12 | | shelf | 43.28 | 62.44 | | house | 53.66 | 72.98 | | sea | 57.81 | 77.93 | | mirror | 63.89 | 73.23 | | rug | 63.28 | 79.06 | | field | 25.49 | 44.2 | | armchair | 42.25 | 64.83 | | seat | 60.38 | 81.68 | | fence | 45.08 | 58.22 | | desk | 46.12 | 71.19 | | rock | 43.72 | 71.3 | | wardrobe | 47.86 | 72.8 | | lamp | 61.77 | 76.07 | | bathtub | 77.56 | 82.93 | | railing | 37.62 | 52.77 | | cushion | 57.83 | 70.2 | | base | 25.88 | 34.8 | | box | 24.09 | 33.09 | | column | 44.81 | 56.23 | | signboard | 34.26 | 50.69 | | chest of drawers | 44.17 | 67.8 | | counter | 29.34 | 36.2 | | sand | 45.57 | 72.18 | | sink | 72.28 | 79.11 | | skyscraper | 43.68 | 59.83 | | fireplace | 74.16 | 85.12 | | refrigerator | 77.42 | 87.72 | | grandstand | 48.01 | 70.5 | | path | 24.93 | 37.84 | | stairs | 30.75 | 35.63 | | runway | 66.51 | 89.78 | | case | 48.68 | 68.14 | | pool table | 92.89 | 96.64 | | pillow | 59.12 | 74.02 | | screen door | 56.52 | 64.26 | | stairway | 28.84 | 39.09 | | river | 7.47 | 12.43 | | bridge | 64.34 | 72.76 | | bookcase | 29.06 | 51.99 | | blind | 43.06 | 48.78 | | coffee table | 55.35 | 81.63 | | toilet | 83.17 | 89.57 | | flower | 40.95 | 53.86 | | book | 47.7 | 68.94 | | hill | 7.43 | 11.17 | | bench | 44.27 | 53.27 | | countertop | 49.05 | 73.94 | | stove | 73.82 | 83.67 | | palm | 50.86 | 69.51 | | kitchen island | 30.83 | 65.3 | | computer | 64.25 | 73.33 | | swivel chair | 45.58 | 62.87 | | boat | 39.57 | 50.5 | | bar | 44.07 | 65.73 | | arcade machine | 75.52 | 83.4 | | hovel | 12.63 | 13.48 | | bus | 86.63 | 96.23 | | towel | 60.06 | 74.68 | | light | 49.85 | 59.12 | | truck | 46.8 | 52.78 | | tower | 34.6 | 69.2 | | chandelier | 67.6 | 83.59 | | awning | 32.67 | 36.23 | | streetlight | 24.75 | 33.83 | | booth | 35.93 | 37.59 | | television receiver | 70.17 | 78.72 | | airplane | 60.88 | 68.28 | | dirt track | 2.87 | 11.86 | | apparel | 32.11 | 41.9 | | pole | 23.09 | 30.95 | | land | 4.54 | 7.32 | | bannister | 15.35 | 18.59 | | escalator | 53.27 | 76.67 | | ottoman | 49.83 | 63.1 | | bottle | 35.29 | 45.55 | | buffet | 38.45 | 49.67 | | poster | 26.18 | 36.69 | | stage | 15.18 | 31.09 | | van | 40.19 | 45.14 | | ship | 4.33 | 6.26 | | fountain | 23.55 | 24.87 | | conveyer belt | 47.42 | 75.8 | | canopy | 12.45 | 15.84 | | washer | 74.88 | 76.45 | | plaything | 28.18 | 38.56 | | swimming pool | 51.59 | 75.67 | | stool | 39.56 | 49.85 | | barrel | 48.41 | 65.12 | | basket | 33.99 | 48.83 | | waterfall | 48.84 | 54.29 | | tent | 95.16 | 98.22 | | bag | 11.07 | 12.35 | | minibike | 69.42 | 81.68 | | cradle | 77.58 | 95.98 | | oven | 51.71 | 61.74 | | ball | 45.32 | 53.69 | | food | 58.98 | 65.98 | | step | 15.94 | 18.49 | | tank | 57.44 | 63.21 | | trade name | 15.08 | 16.13 | | microwave | 83.79 | 94.5 | | pot | 42.76 | 50.92 | | animal | 65.4 | 67.48 | | bicycle | 57.7 | 78.05 | | lake | 69.54 | 75.58 | | dishwasher | 57.41 | 75.85 | | screen | 60.26 | 70.76 | | blanket | 13.46 | 16.89 | | sculpture | 61.71 | 74.51 | | hood | 56.4 | 65.26 | | sconce | 38.38 | 47.14 | | vase | 38.0 | 50.55 | | traffic light | 29.02 | 41.58 | | tray | 1.75 | 1.96 | | ashcan | 44.51 | 54.85 | | fan | 56.17 | 65.99 | | pier | 29.14 | 42.82 | | crt screen | 4.26 | 12.07 | | plate | 52.51 | 73.44 | | monitor | 10.69 | 17.49 | | bulletin board | 50.26 | 60.07 | | shower | 0.0 | 0.0 | | radiator | 49.69 | 54.54 | | glass | 12.36 | 12.99 | | clock | 29.42 | 38.83 | | flag | 45.67 | 48.97 | +---------------------+-------+-------+ 2023-11-13 17:59:01,507 - mmseg - INFO - Summary: 2023-11-13 17:59:01,507 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.65 | 48.28 | 60.26 | +-------+-------+-------+ 2023-11-13 17:59:01,564 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/upernet_flash_internimage_s_512_160k_ade20k/best_mIoU_iter_16000.pth was removed 2023-11-13 17:59:04,187 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2023-11-13 17:59:04,187 - mmseg - INFO - Best mIoU is 0.4828 at 32000 iter. 2023-11-13 17:59:04,187 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 17:59:04,187 - mmseg - INFO - Iter(val) [250] aAcc: 0.8265, mIoU: 0.4828, mAcc: 0.6026, IoU.wall: 0.7715, IoU.building: 0.8226, IoU.sky: 0.9443, IoU.floor: 0.8134, IoU.tree: 0.7437, IoU.ceiling: 0.8339, IoU.road: 0.8034, IoU.bed : 0.8957, IoU.windowpane: 0.6221, IoU.grass: 0.6647, IoU.cabinet: 0.5664, IoU.sidewalk: 0.6251, IoU.person: 0.8070, IoU.earth: 0.3654, IoU.door: 0.5238, IoU.table: 0.5853, IoU.mountain: 0.5885, IoU.plant: 0.5278, IoU.curtain: 0.7347, IoU.chair: 0.5680, IoU.car: 0.8367, IoU.water: 0.5730, IoU.painting: 0.6805, IoU.sofa: 0.6615, IoU.shelf: 0.4328, IoU.house: 0.5366, IoU.sea: 0.5781, IoU.mirror: 0.6389, IoU.rug: 0.6328, IoU.field: 0.2549, IoU.armchair: 0.4225, IoU.seat: 0.6038, IoU.fence: 0.4508, IoU.desk: 0.4612, IoU.rock: 0.4372, IoU.wardrobe: 0.4786, IoU.lamp: 0.6177, IoU.bathtub: 0.7756, IoU.railing: 0.3762, IoU.cushion: 0.5783, IoU.base: 0.2588, IoU.box: 0.2409, IoU.column: 0.4481, IoU.signboard: 0.3426, IoU.chest of drawers: 0.4417, IoU.counter: 0.2934, IoU.sand: 0.4557, IoU.sink: 0.7228, IoU.skyscraper: 0.4368, IoU.fireplace: 0.7416, IoU.refrigerator: 0.7742, IoU.grandstand: 0.4801, IoU.path: 0.2493, IoU.stairs: 0.3075, IoU.runway: 0.6651, IoU.case: 0.4868, IoU.pool table: 0.9289, IoU.pillow: 0.5912, IoU.screen door: 0.5652, IoU.stairway: 0.2884, IoU.river: 0.0747, IoU.bridge: 0.6434, IoU.bookcase: 0.2906, IoU.blind: 0.4306, IoU.coffee table: 0.5535, IoU.toilet: 0.8317, IoU.flower: 0.4095, IoU.book: 0.4770, IoU.hill: 0.0743, IoU.bench: 0.4427, IoU.countertop: 0.4905, IoU.stove: 0.7382, IoU.palm: 0.5086, IoU.kitchen island: 0.3083, IoU.computer: 0.6425, IoU.swivel chair: 0.4558, IoU.boat: 0.3957, IoU.bar: 0.4407, IoU.arcade machine: 0.7552, IoU.hovel: 0.1263, IoU.bus: 0.8663, IoU.towel: 0.6006, IoU.light: 0.4985, IoU.truck: 0.4680, IoU.tower: 0.3460, IoU.chandelier: 0.6760, IoU.awning: 0.3267, IoU.streetlight: 0.2475, IoU.booth: 0.3593, IoU.television receiver: 0.7017, IoU.airplane: 0.6088, IoU.dirt track: 0.0287, IoU.apparel: 0.3211, IoU.pole: 0.2309, IoU.land: 0.0454, IoU.bannister: 0.1535, IoU.escalator: 0.5327, IoU.ottoman: 0.4983, IoU.bottle: 0.3529, IoU.buffet: 0.3845, IoU.poster: 0.2618, IoU.stage: 0.1518, IoU.van: 0.4019, IoU.ship: 0.0433, IoU.fountain: 0.2355, IoU.conveyer belt: 0.4742, IoU.canopy: 0.1245, IoU.washer: 0.7488, IoU.plaything: 0.2818, IoU.swimming pool: 0.5159, IoU.stool: 0.3956, IoU.barrel: 0.4841, IoU.basket: 0.3399, IoU.waterfall: 0.4884, IoU.tent: 0.9516, IoU.bag: 0.1107, IoU.minibike: 0.6942, IoU.cradle: 0.7758, IoU.oven: 0.5171, IoU.ball: 0.4532, IoU.food: 0.5898, IoU.step: 0.1594, IoU.tank: 0.5744, IoU.trade name: 0.1508, IoU.microwave: 0.8379, IoU.pot: 0.4276, IoU.animal: 0.6540, IoU.bicycle: 0.5770, IoU.lake: 0.6954, IoU.dishwasher: 0.5741, IoU.screen: 0.6026, IoU.blanket: 0.1346, IoU.sculpture: 0.6171, IoU.hood: 0.5640, IoU.sconce: 0.3838, IoU.vase: 0.3800, IoU.traffic light: 0.2902, IoU.tray: 0.0175, IoU.ashcan: 0.4451, IoU.fan: 0.5617, IoU.pier: 0.2914, IoU.crt screen: 0.0426, IoU.plate: 0.5251, IoU.monitor: 0.1069, IoU.bulletin board: 0.5026, IoU.shower: 0.0000, IoU.radiator: 0.4969, IoU.glass: 0.1236, IoU.clock: 0.2942, IoU.flag: 0.4567, Acc.wall: 0.8627, Acc.building: 0.9262, Acc.sky: 0.9683, Acc.floor: 0.8900, Acc.tree: 0.8867, Acc.ceiling: 0.9312, Acc.road: 0.8482, Acc.bed : 0.9607, Acc.windowpane: 0.8121, Acc.grass: 0.8187, Acc.cabinet: 0.6666, Acc.sidewalk: 0.8913, Acc.person: 0.9254, Acc.earth: 0.4756, Acc.door: 0.6635, Acc.table: 0.7548, Acc.mountain: 0.7755, Acc.plant: 0.6495, Acc.curtain: 0.8596, Acc.chair: 0.6941, Acc.car: 0.9247, Acc.water: 0.7319, Acc.painting: 0.8618, Acc.sofa: 0.8312, Acc.shelf: 0.6244, Acc.house: 0.7298, Acc.sea: 0.7793, Acc.mirror: 0.7323, Acc.rug: 0.7906, Acc.field: 0.4420, Acc.armchair: 0.6483, Acc.seat: 0.8168, Acc.fence: 0.5822, Acc.desk: 0.7119, Acc.rock: 0.7130, Acc.wardrobe: 0.7280, Acc.lamp: 0.7607, Acc.bathtub: 0.8293, Acc.railing: 0.5277, Acc.cushion: 0.7020, Acc.base: 0.3480, Acc.box: 0.3309, Acc.column: 0.5623, Acc.signboard: 0.5069, Acc.chest of drawers: 0.6780, Acc.counter: 0.3620, Acc.sand: 0.7218, Acc.sink: 0.7911, Acc.skyscraper: 0.5983, Acc.fireplace: 0.8512, Acc.refrigerator: 0.8772, Acc.grandstand: 0.7050, Acc.path: 0.3784, Acc.stairs: 0.3563, Acc.runway: 0.8978, Acc.case: 0.6814, Acc.pool table: 0.9664, Acc.pillow: 0.7402, Acc.screen door: 0.6426, Acc.stairway: 0.3909, Acc.river: 0.1243, Acc.bridge: 0.7276, Acc.bookcase: 0.5199, Acc.blind: 0.4878, Acc.coffee table: 0.8163, Acc.toilet: 0.8957, Acc.flower: 0.5386, Acc.book: 0.6894, Acc.hill: 0.1117, Acc.bench: 0.5327, Acc.countertop: 0.7394, Acc.stove: 0.8367, Acc.palm: 0.6951, Acc.kitchen island: 0.6530, Acc.computer: 0.7333, Acc.swivel chair: 0.6287, Acc.boat: 0.5050, Acc.bar: 0.6573, Acc.arcade machine: 0.8340, Acc.hovel: 0.1348, Acc.bus: 0.9623, Acc.towel: 0.7468, Acc.light: 0.5912, Acc.truck: 0.5278, Acc.tower: 0.6920, Acc.chandelier: 0.8359, Acc.awning: 0.3623, Acc.streetlight: 0.3383, Acc.booth: 0.3759, Acc.television receiver: 0.7872, Acc.airplane: 0.6828, Acc.dirt track: 0.1186, Acc.apparel: 0.4190, Acc.pole: 0.3095, Acc.land: 0.0732, Acc.bannister: 0.1859, Acc.escalator: 0.7667, Acc.ottoman: 0.6310, Acc.bottle: 0.4555, Acc.buffet: 0.4967, Acc.poster: 0.3669, Acc.stage: 0.3109, Acc.van: 0.4514, Acc.ship: 0.0626, Acc.fountain: 0.2487, Acc.conveyer belt: 0.7580, Acc.canopy: 0.1584, Acc.washer: 0.7645, Acc.plaything: 0.3856, Acc.swimming pool: 0.7567, Acc.stool: 0.4985, Acc.barrel: 0.6512, Acc.basket: 0.4883, Acc.waterfall: 0.5429, Acc.tent: 0.9822, Acc.bag: 0.1235, Acc.minibike: 0.8168, Acc.cradle: 0.9598, Acc.oven: 0.6174, Acc.ball: 0.5369, Acc.food: 0.6598, Acc.step: 0.1849, Acc.tank: 0.6321, Acc.trade name: 0.1613, Acc.microwave: 0.9450, Acc.pot: 0.5092, Acc.animal: 0.6748, Acc.bicycle: 0.7805, Acc.lake: 0.7558, Acc.dishwasher: 0.7585, Acc.screen: 0.7076, Acc.blanket: 0.1689, Acc.sculpture: 0.7451, Acc.hood: 0.6526, Acc.sconce: 0.4714, Acc.vase: 0.5055, Acc.traffic light: 0.4158, Acc.tray: 0.0196, Acc.ashcan: 0.5485, Acc.fan: 0.6599, Acc.pier: 0.4282, Acc.crt screen: 0.1207, Acc.plate: 0.7344, Acc.monitor: 0.1749, Acc.bulletin board: 0.6007, Acc.shower: 0.0000, Acc.radiator: 0.5454, Acc.glass: 0.1299, Acc.clock: 0.3883, Acc.flag: 0.4897 2023-11-13 17:59:16,199 - mmseg - INFO - Iter [32050/160000] lr: 4.798e-05, eta: 8:46:30, time: 0.577, data_time: 0.342, memory: 5958, decode.loss_ce: 0.3205, decode.acc_seg: 86.8391, aux.loss_ce: 0.1748, aux.acc_seg: 83.3441, loss: 0.4953 2023-11-13 17:59:27,999 - mmseg - INFO - Iter [32100/160000] lr: 4.796e-05, eta: 8:46:15, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3540, decode.acc_seg: 85.7499, aux.loss_ce: 0.1879, aux.acc_seg: 81.9987, loss: 0.5418 2023-11-13 17:59:39,749 - mmseg - INFO - Iter [32150/160000] lr: 4.794e-05, eta: 8:46:01, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3431, decode.acc_seg: 86.7043, aux.loss_ce: 0.1801, aux.acc_seg: 83.0636, loss: 0.5232 2023-11-13 17:59:51,489 - mmseg - INFO - Iter [32200/160000] lr: 4.793e-05, eta: 8:45:46, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3355, decode.acc_seg: 86.5986, aux.loss_ce: 0.1833, aux.acc_seg: 82.8257, loss: 0.5188 2023-11-13 18:00:03,367 - mmseg - INFO - Iter [32250/160000] lr: 4.791e-05, eta: 8:45:32, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3300, decode.acc_seg: 86.8599, aux.loss_ce: 0.1782, aux.acc_seg: 83.2506, loss: 0.5081 2023-11-13 18:00:16,251 - mmseg - INFO - Iter [32300/160000] lr: 4.789e-05, eta: 8:45:22, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3077, decode.acc_seg: 87.4394, aux.loss_ce: 0.1683, aux.acc_seg: 83.9012, loss: 0.4760 2023-11-13 18:00:28,759 - mmseg - INFO - Iter [32350/160000] lr: 4.787e-05, eta: 8:45:10, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3177, decode.acc_seg: 87.6013, aux.loss_ce: 0.1783, aux.acc_seg: 83.6806, loss: 0.4960 2023-11-13 18:00:40,844 - mmseg - INFO - Iter [32400/160000] lr: 4.785e-05, eta: 8:44:57, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3292, decode.acc_seg: 86.9690, aux.loss_ce: 0.1744, aux.acc_seg: 83.7039, loss: 0.5035 2023-11-13 18:00:52,488 - mmseg - INFO - Iter [32450/160000] lr: 4.783e-05, eta: 8:44:41, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3307, decode.acc_seg: 86.8137, aux.loss_ce: 0.1813, aux.acc_seg: 82.9721, loss: 0.5121 2023-11-13 18:01:04,124 - mmseg - INFO - Iter [32500/160000] lr: 4.781e-05, eta: 8:44:26, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3309, decode.acc_seg: 86.8084, aux.loss_ce: 0.1772, aux.acc_seg: 83.4766, loss: 0.5081 2023-11-13 18:01:15,809 - mmseg - INFO - Iter [32550/160000] lr: 4.779e-05, eta: 8:44:11, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3542, decode.acc_seg: 86.1849, aux.loss_ce: 0.1868, aux.acc_seg: 82.6115, loss: 0.5410 2023-11-13 18:01:27,518 - mmseg - INFO - Iter [32600/160000] lr: 4.778e-05, eta: 8:43:57, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3446, decode.acc_seg: 86.1926, aux.loss_ce: 0.1873, aux.acc_seg: 82.4398, loss: 0.5319 2023-11-13 18:01:39,347 - mmseg - INFO - Iter [32650/160000] lr: 4.776e-05, eta: 8:43:42, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3374, decode.acc_seg: 86.3664, aux.loss_ce: 0.1796, aux.acc_seg: 83.0790, loss: 0.5170 2023-11-13 18:01:51,040 - mmseg - INFO - Iter [32700/160000] lr: 4.774e-05, eta: 8:43:27, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3114, decode.acc_seg: 87.5274, aux.loss_ce: 0.1670, aux.acc_seg: 83.9951, loss: 0.4783 2023-11-13 18:02:02,796 - mmseg - INFO - Iter [32750/160000] lr: 4.772e-05, eta: 8:43:13, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3342, decode.acc_seg: 86.7547, aux.loss_ce: 0.1777, aux.acc_seg: 83.1897, loss: 0.5119 2023-11-13 18:02:14,422 - mmseg - INFO - Iter [32800/160000] lr: 4.770e-05, eta: 8:42:58, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3478, decode.acc_seg: 86.2832, aux.loss_ce: 0.1869, aux.acc_seg: 82.5288, loss: 0.5348 2023-11-13 18:02:28,784 - mmseg - INFO - Iter [32850/160000] lr: 4.768e-05, eta: 8:42:53, time: 0.287, data_time: 0.047, memory: 5958, decode.loss_ce: 0.3414, decode.acc_seg: 86.3021, aux.loss_ce: 0.1796, aux.acc_seg: 82.8326, loss: 0.5210 2023-11-13 18:02:41,148 - mmseg - INFO - Iter [32900/160000] lr: 4.766e-05, eta: 8:42:41, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3427, decode.acc_seg: 86.3639, aux.loss_ce: 0.1834, aux.acc_seg: 82.9347, loss: 0.5261 2023-11-13 18:02:53,155 - mmseg - INFO - Iter [32950/160000] lr: 4.764e-05, eta: 8:42:27, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3230, decode.acc_seg: 86.8369, aux.loss_ce: 0.1787, aux.acc_seg: 83.0584, loss: 0.5016 2023-11-13 18:03:04,788 - mmseg - INFO - Saving checkpoint at 33000 iterations 2023-11-13 18:03:07,329 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:03:07,330 - mmseg - INFO - Iter [33000/160000] lr: 4.763e-05, eta: 8:42:22, time: 0.284, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3250, decode.acc_seg: 86.8363, aux.loss_ce: 0.1748, aux.acc_seg: 83.6286, loss: 0.4998 2023-11-13 18:03:19,852 - mmseg - INFO - Iter [33050/160000] lr: 4.761e-05, eta: 8:42:11, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3298, decode.acc_seg: 86.7635, aux.loss_ce: 0.1725, aux.acc_seg: 83.6857, loss: 0.5024 2023-11-13 18:03:32,214 - mmseg - INFO - Iter [33100/160000] lr: 4.759e-05, eta: 8:41:58, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3130, decode.acc_seg: 87.4626, aux.loss_ce: 0.1672, aux.acc_seg: 83.8946, loss: 0.4802 2023-11-13 18:03:44,740 - mmseg - INFO - Iter [33150/160000] lr: 4.757e-05, eta: 8:41:47, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3084, decode.acc_seg: 87.8776, aux.loss_ce: 0.1685, aux.acc_seg: 84.3615, loss: 0.4769 2023-11-13 18:03:56,405 - mmseg - INFO - Iter [33200/160000] lr: 4.755e-05, eta: 8:41:32, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3265, decode.acc_seg: 86.8340, aux.loss_ce: 0.1830, aux.acc_seg: 82.5701, loss: 0.5095 2023-11-13 18:04:08,098 - mmseg - INFO - Iter [33250/160000] lr: 4.753e-05, eta: 8:41:17, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3198, decode.acc_seg: 86.9365, aux.loss_ce: 0.1748, aux.acc_seg: 83.3230, loss: 0.4946 2023-11-13 18:04:20,344 - mmseg - INFO - Iter [33300/160000] lr: 4.751e-05, eta: 8:41:04, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3318, decode.acc_seg: 86.8425, aux.loss_ce: 0.1783, aux.acc_seg: 83.2107, loss: 0.5102 2023-11-13 18:04:32,522 - mmseg - INFO - Iter [33350/160000] lr: 4.749e-05, eta: 8:40:51, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3311, decode.acc_seg: 86.7640, aux.loss_ce: 0.1808, aux.acc_seg: 83.0242, loss: 0.5119 2023-11-13 18:04:44,844 - mmseg - INFO - Iter [33400/160000] lr: 4.748e-05, eta: 8:40:39, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3272, decode.acc_seg: 86.6438, aux.loss_ce: 0.1744, aux.acc_seg: 83.5288, loss: 0.5016 2023-11-13 18:04:56,633 - mmseg - INFO - Iter [33450/160000] lr: 4.746e-05, eta: 8:40:24, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3109, decode.acc_seg: 87.6123, aux.loss_ce: 0.1728, aux.acc_seg: 83.7419, loss: 0.4837 2023-11-13 18:05:08,260 - mmseg - INFO - Iter [33500/160000] lr: 4.744e-05, eta: 8:40:09, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3265, decode.acc_seg: 86.7590, aux.loss_ce: 0.1778, aux.acc_seg: 82.9654, loss: 0.5043 2023-11-13 18:05:21,165 - mmseg - INFO - Iter [33550/160000] lr: 4.742e-05, eta: 8:39:59, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3343, decode.acc_seg: 86.7729, aux.loss_ce: 0.1792, aux.acc_seg: 83.2243, loss: 0.5135 2023-11-13 18:05:33,967 - mmseg - INFO - Iter [33600/160000] lr: 4.740e-05, eta: 8:39:49, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3424, decode.acc_seg: 86.4279, aux.loss_ce: 0.1813, aux.acc_seg: 83.0632, loss: 0.5238 2023-11-13 18:05:45,622 - mmseg - INFO - Iter [33650/160000] lr: 4.738e-05, eta: 8:39:34, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3148, decode.acc_seg: 87.3881, aux.loss_ce: 0.1687, aux.acc_seg: 83.6411, loss: 0.4835 2023-11-13 18:05:57,723 - mmseg - INFO - Iter [33700/160000] lr: 4.736e-05, eta: 8:39:21, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3277, decode.acc_seg: 86.9642, aux.loss_ce: 0.1788, aux.acc_seg: 83.2757, loss: 0.5065 2023-11-13 18:06:09,617 - mmseg - INFO - Iter [33750/160000] lr: 4.734e-05, eta: 8:39:07, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3145, decode.acc_seg: 87.2056, aux.loss_ce: 0.1652, aux.acc_seg: 83.9745, loss: 0.4797 2023-11-13 18:06:21,236 - mmseg - INFO - Iter [33800/160000] lr: 4.733e-05, eta: 8:38:52, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3271, decode.acc_seg: 86.8572, aux.loss_ce: 0.1775, aux.acc_seg: 83.1989, loss: 0.5046 2023-11-13 18:06:32,935 - mmseg - INFO - Iter [33850/160000] lr: 4.731e-05, eta: 8:38:37, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3568, decode.acc_seg: 86.1271, aux.loss_ce: 0.1852, aux.acc_seg: 82.6448, loss: 0.5420 2023-11-13 18:06:44,570 - mmseg - INFO - Iter [33900/160000] lr: 4.729e-05, eta: 8:38:22, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3571, decode.acc_seg: 85.8910, aux.loss_ce: 0.1884, aux.acc_seg: 82.5761, loss: 0.5456 2023-11-13 18:06:56,335 - mmseg - INFO - Iter [33950/160000] lr: 4.727e-05, eta: 8:38:07, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3227, decode.acc_seg: 87.0295, aux.loss_ce: 0.1815, aux.acc_seg: 82.5491, loss: 0.5042 2023-11-13 18:07:08,037 - mmseg - INFO - Saving checkpoint at 34000 iterations 2023-11-13 18:07:10,566 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:07:10,566 - mmseg - INFO - Iter [34000/160000] lr: 4.725e-05, eta: 8:38:02, time: 0.285, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3277, decode.acc_seg: 86.8822, aux.loss_ce: 0.1788, aux.acc_seg: 83.1854, loss: 0.5065 2023-11-13 18:07:22,631 - mmseg - INFO - Iter [34050/160000] lr: 4.723e-05, eta: 8:37:49, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3501, decode.acc_seg: 86.0349, aux.loss_ce: 0.1874, aux.acc_seg: 82.3381, loss: 0.5376 2023-11-13 18:07:34,204 - mmseg - INFO - Iter [34100/160000] lr: 4.721e-05, eta: 8:37:34, time: 0.231, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3323, decode.acc_seg: 86.4538, aux.loss_ce: 0.1683, aux.acc_seg: 83.6814, loss: 0.5006 2023-11-13 18:07:48,291 - mmseg - INFO - Iter [34150/160000] lr: 4.719e-05, eta: 8:37:28, time: 0.282, data_time: 0.050, memory: 5958, decode.loss_ce: 0.3455, decode.acc_seg: 86.4967, aux.loss_ce: 0.1823, aux.acc_seg: 82.9282, loss: 0.5279 2023-11-13 18:08:00,065 - mmseg - INFO - Iter [34200/160000] lr: 4.718e-05, eta: 8:37:13, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3088, decode.acc_seg: 87.5043, aux.loss_ce: 0.1707, aux.acc_seg: 83.3737, loss: 0.4795 2023-11-13 18:08:11,745 - mmseg - INFO - Iter [34250/160000] lr: 4.716e-05, eta: 8:36:59, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2901, decode.acc_seg: 88.0621, aux.loss_ce: 0.1586, aux.acc_seg: 84.8618, loss: 0.4487 2023-11-13 18:08:23,341 - mmseg - INFO - Iter [34300/160000] lr: 4.714e-05, eta: 8:36:44, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3163, decode.acc_seg: 87.1844, aux.loss_ce: 0.1728, aux.acc_seg: 83.5041, loss: 0.4891 2023-11-13 18:08:35,317 - mmseg - INFO - Iter [34350/160000] lr: 4.712e-05, eta: 8:36:30, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3063, decode.acc_seg: 87.6573, aux.loss_ce: 0.1734, aux.acc_seg: 83.7803, loss: 0.4797 2023-11-13 18:08:47,973 - mmseg - INFO - Iter [34400/160000] lr: 4.710e-05, eta: 8:36:19, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3107, decode.acc_seg: 87.2137, aux.loss_ce: 0.1681, aux.acc_seg: 83.8763, loss: 0.4788 2023-11-13 18:09:01,379 - mmseg - INFO - Iter [34450/160000] lr: 4.708e-05, eta: 8:36:10, time: 0.269, data_time: 0.006, memory: 5958, decode.loss_ce: 0.3259, decode.acc_seg: 87.3775, aux.loss_ce: 0.1773, aux.acc_seg: 83.5773, loss: 0.5032 2023-11-13 18:09:13,454 - mmseg - INFO - Iter [34500/160000] lr: 4.706e-05, eta: 8:35:57, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3273, decode.acc_seg: 86.3970, aux.loss_ce: 0.1776, aux.acc_seg: 82.7668, loss: 0.5050 2023-11-13 18:09:25,073 - mmseg - INFO - Iter [34550/160000] lr: 4.704e-05, eta: 8:35:42, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3398, decode.acc_seg: 86.4661, aux.loss_ce: 0.1779, aux.acc_seg: 82.8820, loss: 0.5177 2023-11-13 18:09:36,943 - mmseg - INFO - Iter [34600/160000] lr: 4.703e-05, eta: 8:35:28, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3071, decode.acc_seg: 87.6875, aux.loss_ce: 0.1698, aux.acc_seg: 83.9570, loss: 0.4769 2023-11-13 18:09:49,036 - mmseg - INFO - Iter [34650/160000] lr: 4.701e-05, eta: 8:35:15, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3228, decode.acc_seg: 86.5600, aux.loss_ce: 0.1720, aux.acc_seg: 83.3087, loss: 0.4948 2023-11-13 18:10:01,003 - mmseg - INFO - Iter [34700/160000] lr: 4.699e-05, eta: 8:35:01, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3389, decode.acc_seg: 86.6705, aux.loss_ce: 0.1801, aux.acc_seg: 83.2868, loss: 0.5190 2023-11-13 18:10:12,687 - mmseg - INFO - Iter [34750/160000] lr: 4.697e-05, eta: 8:34:47, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3399, decode.acc_seg: 86.6281, aux.loss_ce: 0.1861, aux.acc_seg: 82.8575, loss: 0.5259 2023-11-13 18:10:24,387 - mmseg - INFO - Iter [34800/160000] lr: 4.695e-05, eta: 8:34:32, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3226, decode.acc_seg: 87.5531, aux.loss_ce: 0.1758, aux.acc_seg: 83.9420, loss: 0.4984 2023-11-13 18:10:36,137 - mmseg - INFO - Iter [34850/160000] lr: 4.693e-05, eta: 8:34:18, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3096, decode.acc_seg: 87.4256, aux.loss_ce: 0.1681, aux.acc_seg: 83.6278, loss: 0.4777 2023-11-13 18:10:47,844 - mmseg - INFO - Iter [34900/160000] lr: 4.691e-05, eta: 8:34:03, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3222, decode.acc_seg: 87.3296, aux.loss_ce: 0.1718, aux.acc_seg: 83.5891, loss: 0.4940 2023-11-13 18:11:01,586 - mmseg - INFO - Iter [34950/160000] lr: 4.689e-05, eta: 8:33:56, time: 0.275, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3223, decode.acc_seg: 86.8044, aux.loss_ce: 0.1776, aux.acc_seg: 82.8356, loss: 0.4999 2023-11-13 18:11:13,641 - mmseg - INFO - Saving checkpoint at 35000 iterations 2023-11-13 18:11:16,325 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:11:16,326 - mmseg - INFO - Iter [35000/160000] lr: 4.688e-05, eta: 8:33:52, time: 0.295, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3330, decode.acc_seg: 86.4898, aux.loss_ce: 0.1707, aux.acc_seg: 83.6874, loss: 0.5037 2023-11-13 18:11:28,089 - mmseg - INFO - Iter [35050/160000] lr: 4.686e-05, eta: 8:33:38, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3229, decode.acc_seg: 87.0488, aux.loss_ce: 0.1723, aux.acc_seg: 83.9526, loss: 0.4952 2023-11-13 18:11:39,805 - mmseg - INFO - Iter [35100/160000] lr: 4.684e-05, eta: 8:33:23, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3213, decode.acc_seg: 87.0939, aux.loss_ce: 0.1756, aux.acc_seg: 83.0669, loss: 0.4969 2023-11-13 18:11:51,794 - mmseg - INFO - Iter [35150/160000] lr: 4.682e-05, eta: 8:33:10, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3101, decode.acc_seg: 87.3478, aux.loss_ce: 0.1706, aux.acc_seg: 83.4911, loss: 0.4807 2023-11-13 18:12:03,476 - mmseg - INFO - Iter [35200/160000] lr: 4.680e-05, eta: 8:32:55, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3085, decode.acc_seg: 87.4742, aux.loss_ce: 0.1682, aux.acc_seg: 84.0283, loss: 0.4767 2023-11-13 18:12:15,185 - mmseg - INFO - Iter [35250/160000] lr: 4.678e-05, eta: 8:32:41, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3279, decode.acc_seg: 87.0089, aux.loss_ce: 0.1790, aux.acc_seg: 83.4421, loss: 0.5069 2023-11-13 18:12:26,919 - mmseg - INFO - Iter [35300/160000] lr: 4.676e-05, eta: 8:32:26, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3054, decode.acc_seg: 87.9637, aux.loss_ce: 0.1658, aux.acc_seg: 84.5281, loss: 0.4712 2023-11-13 18:12:38,774 - mmseg - INFO - Iter [35350/160000] lr: 4.674e-05, eta: 8:32:12, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3171, decode.acc_seg: 87.3030, aux.loss_ce: 0.1723, aux.acc_seg: 83.7349, loss: 0.4894 2023-11-13 18:12:53,073 - mmseg - INFO - Iter [35400/160000] lr: 4.673e-05, eta: 8:32:07, time: 0.287, data_time: 0.049, memory: 5958, decode.loss_ce: 0.3345, decode.acc_seg: 86.6163, aux.loss_ce: 0.1765, aux.acc_seg: 83.3632, loss: 0.5109 2023-11-13 18:13:05,811 - mmseg - INFO - Iter [35450/160000] lr: 4.671e-05, eta: 8:31:56, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3161, decode.acc_seg: 87.2127, aux.loss_ce: 0.1744, aux.acc_seg: 83.6178, loss: 0.4905 2023-11-13 18:13:17,986 - mmseg - INFO - Iter [35500/160000] lr: 4.669e-05, eta: 8:31:43, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3131, decode.acc_seg: 87.4623, aux.loss_ce: 0.1695, aux.acc_seg: 84.1057, loss: 0.4826 2023-11-13 18:13:29,804 - mmseg - INFO - Iter [35550/160000] lr: 4.667e-05, eta: 8:31:29, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3228, decode.acc_seg: 87.2796, aux.loss_ce: 0.1756, aux.acc_seg: 83.4628, loss: 0.4984 2023-11-13 18:13:41,817 - mmseg - INFO - Iter [35600/160000] lr: 4.665e-05, eta: 8:31:15, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3089, decode.acc_seg: 87.6964, aux.loss_ce: 0.1756, aux.acc_seg: 83.6261, loss: 0.4846 2023-11-13 18:13:54,941 - mmseg - INFO - Iter [35650/160000] lr: 4.663e-05, eta: 8:31:06, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2925, decode.acc_seg: 88.0085, aux.loss_ce: 0.1636, aux.acc_seg: 84.1730, loss: 0.4561 2023-11-13 18:14:08,278 - mmseg - INFO - Iter [35700/160000] lr: 4.661e-05, eta: 8:30:57, time: 0.267, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3385, decode.acc_seg: 86.7670, aux.loss_ce: 0.1832, aux.acc_seg: 83.0374, loss: 0.5216 2023-11-13 18:14:22,144 - mmseg - INFO - Iter [35750/160000] lr: 4.659e-05, eta: 8:30:50, time: 0.278, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3206, decode.acc_seg: 87.4019, aux.loss_ce: 0.1753, aux.acc_seg: 83.7748, loss: 0.4959 2023-11-13 18:14:33,973 - mmseg - INFO - Iter [35800/160000] lr: 4.658e-05, eta: 8:30:36, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3022, decode.acc_seg: 88.1503, aux.loss_ce: 0.1634, aux.acc_seg: 84.5343, loss: 0.4656 2023-11-13 18:14:45,806 - mmseg - INFO - Iter [35850/160000] lr: 4.656e-05, eta: 8:30:22, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3140, decode.acc_seg: 87.5397, aux.loss_ce: 0.1733, aux.acc_seg: 83.8867, loss: 0.4872 2023-11-13 18:14:57,424 - mmseg - INFO - Iter [35900/160000] lr: 4.654e-05, eta: 8:30:07, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3177, decode.acc_seg: 87.5333, aux.loss_ce: 0.1726, aux.acc_seg: 84.1816, loss: 0.4904 2023-11-13 18:15:09,488 - mmseg - INFO - Iter [35950/160000] lr: 4.652e-05, eta: 8:29:54, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3082, decode.acc_seg: 87.4384, aux.loss_ce: 0.1674, aux.acc_seg: 83.9361, loss: 0.4756 2023-11-13 18:15:21,107 - mmseg - INFO - Saving checkpoint at 36000 iterations 2023-11-13 18:15:23,980 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:15:23,980 - mmseg - INFO - Iter [36000/160000] lr: 4.650e-05, eta: 8:29:49, time: 0.290, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3084, decode.acc_seg: 87.6135, aux.loss_ce: 0.1674, aux.acc_seg: 84.1941, loss: 0.4758 2023-11-13 18:15:35,619 - mmseg - INFO - Iter [36050/160000] lr: 4.648e-05, eta: 8:29:34, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3205, decode.acc_seg: 87.1481, aux.loss_ce: 0.1753, aux.acc_seg: 83.4438, loss: 0.4958 2023-11-13 18:15:47,316 - mmseg - INFO - Iter [36100/160000] lr: 4.646e-05, eta: 8:29:20, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3269, decode.acc_seg: 86.9884, aux.loss_ce: 0.1766, aux.acc_seg: 83.3753, loss: 0.5035 2023-11-13 18:15:59,507 - mmseg - INFO - Iter [36150/160000] lr: 4.644e-05, eta: 8:29:07, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3185, decode.acc_seg: 87.2307, aux.loss_ce: 0.1735, aux.acc_seg: 83.6294, loss: 0.4920 2023-11-13 18:16:11,250 - mmseg - INFO - Iter [36200/160000] lr: 4.643e-05, eta: 8:28:52, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3345, decode.acc_seg: 86.2209, aux.loss_ce: 0.1814, aux.acc_seg: 82.4932, loss: 0.5159 2023-11-13 18:16:23,049 - mmseg - INFO - Iter [36250/160000] lr: 4.641e-05, eta: 8:28:38, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3266, decode.acc_seg: 86.9185, aux.loss_ce: 0.1786, aux.acc_seg: 83.1484, loss: 0.5051 2023-11-13 18:16:34,676 - mmseg - INFO - Iter [36300/160000] lr: 4.639e-05, eta: 8:28:24, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3064, decode.acc_seg: 87.5656, aux.loss_ce: 0.1689, aux.acc_seg: 84.0123, loss: 0.4752 2023-11-13 18:16:47,550 - mmseg - INFO - Iter [36350/160000] lr: 4.637e-05, eta: 8:28:13, time: 0.257, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3127, decode.acc_seg: 87.3690, aux.loss_ce: 0.1711, aux.acc_seg: 83.8770, loss: 0.4838 2023-11-13 18:16:59,242 - mmseg - INFO - Iter [36400/160000] lr: 4.635e-05, eta: 8:27:59, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3294, decode.acc_seg: 86.7524, aux.loss_ce: 0.1719, aux.acc_seg: 83.6815, loss: 0.5013 2023-11-13 18:17:10,998 - mmseg - INFO - Iter [36450/160000] lr: 4.633e-05, eta: 8:27:44, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3304, decode.acc_seg: 86.0010, aux.loss_ce: 0.1730, aux.acc_seg: 83.0792, loss: 0.5034 2023-11-13 18:17:22,630 - mmseg - INFO - Iter [36500/160000] lr: 4.631e-05, eta: 8:27:30, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3227, decode.acc_seg: 87.2409, aux.loss_ce: 0.1710, aux.acc_seg: 84.0962, loss: 0.4936 2023-11-13 18:17:34,352 - mmseg - INFO - Iter [36550/160000] lr: 4.629e-05, eta: 8:27:15, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3284, decode.acc_seg: 86.7555, aux.loss_ce: 0.1751, aux.acc_seg: 83.4837, loss: 0.5035 2023-11-13 18:17:46,441 - mmseg - INFO - Iter [36600/160000] lr: 4.628e-05, eta: 8:27:02, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3318, decode.acc_seg: 87.1830, aux.loss_ce: 0.1864, aux.acc_seg: 82.9231, loss: 0.5181 2023-11-13 18:18:00,352 - mmseg - INFO - Iter [36650/160000] lr: 4.626e-05, eta: 8:26:55, time: 0.278, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2939, decode.acc_seg: 88.3247, aux.loss_ce: 0.1579, aux.acc_seg: 84.7157, loss: 0.4518 2023-11-13 18:18:12,321 - mmseg - INFO - Iter [36700/160000] lr: 4.624e-05, eta: 8:26:42, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2982, decode.acc_seg: 88.1958, aux.loss_ce: 0.1664, aux.acc_seg: 84.5916, loss: 0.4646 2023-11-13 18:18:24,250 - mmseg - INFO - Iter [36750/160000] lr: 4.622e-05, eta: 8:26:28, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3039, decode.acc_seg: 87.8935, aux.loss_ce: 0.1629, aux.acc_seg: 84.6923, loss: 0.4668 2023-11-13 18:18:36,467 - mmseg - INFO - Iter [36800/160000] lr: 4.620e-05, eta: 8:26:15, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3142, decode.acc_seg: 87.5765, aux.loss_ce: 0.1698, aux.acc_seg: 84.0970, loss: 0.4840 2023-11-13 18:18:48,076 - mmseg - INFO - Iter [36850/160000] lr: 4.618e-05, eta: 8:26:00, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3028, decode.acc_seg: 88.0789, aux.loss_ce: 0.1662, aux.acc_seg: 84.2221, loss: 0.4690 2023-11-13 18:18:59,739 - mmseg - INFO - Iter [36900/160000] lr: 4.616e-05, eta: 8:25:46, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3134, decode.acc_seg: 87.4215, aux.loss_ce: 0.1669, aux.acc_seg: 84.2642, loss: 0.4803 2023-11-13 18:19:11,381 - mmseg - INFO - Iter [36950/160000] lr: 4.614e-05, eta: 8:25:31, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3156, decode.acc_seg: 87.4076, aux.loss_ce: 0.1668, aux.acc_seg: 84.0798, loss: 0.4824 2023-11-13 18:19:23,187 - mmseg - INFO - Saving checkpoint at 37000 iterations 2023-11-13 18:19:25,747 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:19:25,747 - mmseg - INFO - Iter [37000/160000] lr: 4.613e-05, eta: 8:25:26, time: 0.287, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3153, decode.acc_seg: 87.6363, aux.loss_ce: 0.1752, aux.acc_seg: 83.9263, loss: 0.4905 2023-11-13 18:19:37,605 - mmseg - INFO - Iter [37050/160000] lr: 4.611e-05, eta: 8:25:12, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3094, decode.acc_seg: 87.5956, aux.loss_ce: 0.1724, aux.acc_seg: 84.0060, loss: 0.4818 2023-11-13 18:19:49,388 - mmseg - INFO - Iter [37100/160000] lr: 4.609e-05, eta: 8:24:58, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3248, decode.acc_seg: 87.0973, aux.loss_ce: 0.1816, aux.acc_seg: 83.1065, loss: 0.5064 2023-11-13 18:20:01,108 - mmseg - INFO - Iter [37150/160000] lr: 4.607e-05, eta: 8:24:43, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3212, decode.acc_seg: 86.9787, aux.loss_ce: 0.1743, aux.acc_seg: 83.4341, loss: 0.4956 2023-11-13 18:20:13,282 - mmseg - INFO - Iter [37200/160000] lr: 4.605e-05, eta: 8:24:31, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3138, decode.acc_seg: 87.1187, aux.loss_ce: 0.1724, aux.acc_seg: 83.6756, loss: 0.4862 2023-11-13 18:20:24,911 - mmseg - INFO - Iter [37250/160000] lr: 4.603e-05, eta: 8:24:16, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3163, decode.acc_seg: 87.5296, aux.loss_ce: 0.1709, aux.acc_seg: 83.9843, loss: 0.4872 2023-11-13 18:20:36,688 - mmseg - INFO - Iter [37300/160000] lr: 4.601e-05, eta: 8:24:02, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3062, decode.acc_seg: 87.4978, aux.loss_ce: 0.1680, aux.acc_seg: 84.0328, loss: 0.4742 2023-11-13 18:20:48,498 - mmseg - INFO - Iter [37350/160000] lr: 4.599e-05, eta: 8:23:48, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3090, decode.acc_seg: 87.4242, aux.loss_ce: 0.1702, aux.acc_seg: 83.4662, loss: 0.4791 2023-11-13 18:21:01,632 - mmseg - INFO - Iter [37400/160000] lr: 4.598e-05, eta: 8:23:38, time: 0.263, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3187, decode.acc_seg: 86.8176, aux.loss_ce: 0.1688, aux.acc_seg: 83.4252, loss: 0.4875 2023-11-13 18:21:13,269 - mmseg - INFO - Iter [37450/160000] lr: 4.596e-05, eta: 8:23:24, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2930, decode.acc_seg: 88.0296, aux.loss_ce: 0.1635, aux.acc_seg: 84.0730, loss: 0.4564 2023-11-13 18:21:25,072 - mmseg - INFO - Iter [37500/160000] lr: 4.594e-05, eta: 8:23:10, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3145, decode.acc_seg: 87.4129, aux.loss_ce: 0.1667, aux.acc_seg: 83.9759, loss: 0.4812 2023-11-13 18:21:37,587 - mmseg - INFO - Iter [37550/160000] lr: 4.592e-05, eta: 8:22:58, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3329, decode.acc_seg: 86.6093, aux.loss_ce: 0.1874, aux.acc_seg: 82.4295, loss: 0.5204 2023-11-13 18:21:49,415 - mmseg - INFO - Iter [37600/160000] lr: 4.590e-05, eta: 8:22:44, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3161, decode.acc_seg: 87.6560, aux.loss_ce: 0.1746, aux.acc_seg: 84.0501, loss: 0.4907 2023-11-13 18:22:01,398 - mmseg - INFO - Iter [37650/160000] lr: 4.588e-05, eta: 8:22:31, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3212, decode.acc_seg: 86.9776, aux.loss_ce: 0.1736, aux.acc_seg: 83.3116, loss: 0.4948 2023-11-13 18:22:13,380 - mmseg - INFO - Iter [37700/160000] lr: 4.586e-05, eta: 8:22:17, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2954, decode.acc_seg: 87.9231, aux.loss_ce: 0.1581, aux.acc_seg: 85.0069, loss: 0.4536 2023-11-13 18:22:25,278 - mmseg - INFO - Iter [37750/160000] lr: 4.584e-05, eta: 8:22:03, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3111, decode.acc_seg: 87.2292, aux.loss_ce: 0.1703, aux.acc_seg: 83.5339, loss: 0.4814 2023-11-13 18:22:37,067 - mmseg - INFO - Iter [37800/160000] lr: 4.583e-05, eta: 8:21:49, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3033, decode.acc_seg: 87.7065, aux.loss_ce: 0.1602, aux.acc_seg: 84.4849, loss: 0.4635 2023-11-13 18:22:48,695 - mmseg - INFO - Iter [37850/160000] lr: 4.581e-05, eta: 8:21:35, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3160, decode.acc_seg: 87.5968, aux.loss_ce: 0.1732, aux.acc_seg: 84.2493, loss: 0.4891 2023-11-13 18:23:02,803 - mmseg - INFO - Iter [37900/160000] lr: 4.579e-05, eta: 8:21:28, time: 0.282, data_time: 0.049, memory: 5958, decode.loss_ce: 0.3080, decode.acc_seg: 87.6604, aux.loss_ce: 0.1648, aux.acc_seg: 84.1272, loss: 0.4728 2023-11-13 18:23:14,395 - mmseg - INFO - Iter [37950/160000] lr: 4.577e-05, eta: 8:21:14, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3005, decode.acc_seg: 88.0555, aux.loss_ce: 0.1654, aux.acc_seg: 84.3359, loss: 0.4658 2023-11-13 18:23:26,259 - mmseg - INFO - Saving checkpoint at 38000 iterations 2023-11-13 18:23:28,837 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:23:28,838 - mmseg - INFO - Iter [38000/160000] lr: 4.575e-05, eta: 8:21:08, time: 0.289, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2845, decode.acc_seg: 88.0351, aux.loss_ce: 0.1579, aux.acc_seg: 84.8340, loss: 0.4424 2023-11-13 18:23:40,735 - mmseg - INFO - Iter [38050/160000] lr: 4.573e-05, eta: 8:20:54, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2999, decode.acc_seg: 88.0612, aux.loss_ce: 0.1612, aux.acc_seg: 84.9218, loss: 0.4611 2023-11-13 18:23:52,378 - mmseg - INFO - Iter [38100/160000] lr: 4.571e-05, eta: 8:20:40, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3135, decode.acc_seg: 87.7329, aux.loss_ce: 0.1668, aux.acc_seg: 84.3281, loss: 0.4803 2023-11-13 18:24:04,353 - mmseg - INFO - Iter [38150/160000] lr: 4.569e-05, eta: 8:20:26, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3149, decode.acc_seg: 87.1968, aux.loss_ce: 0.1686, aux.acc_seg: 84.0421, loss: 0.4835 2023-11-13 18:24:16,433 - mmseg - INFO - Iter [38200/160000] lr: 4.568e-05, eta: 8:20:13, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2911, decode.acc_seg: 88.1991, aux.loss_ce: 0.1627, aux.acc_seg: 84.4371, loss: 0.4538 2023-11-13 18:24:28,083 - mmseg - INFO - Iter [38250/160000] lr: 4.566e-05, eta: 8:19:59, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2934, decode.acc_seg: 88.2032, aux.loss_ce: 0.1568, aux.acc_seg: 85.3341, loss: 0.4502 2023-11-13 18:24:40,171 - mmseg - INFO - Iter [38300/160000] lr: 4.564e-05, eta: 8:19:46, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3092, decode.acc_seg: 87.1865, aux.loss_ce: 0.1680, aux.acc_seg: 83.7488, loss: 0.4772 2023-11-13 18:24:51,778 - mmseg - INFO - Iter [38350/160000] lr: 4.562e-05, eta: 8:19:31, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3091, decode.acc_seg: 87.9946, aux.loss_ce: 0.1702, aux.acc_seg: 84.3508, loss: 0.4793 2023-11-13 18:25:03,469 - mmseg - INFO - Iter [38400/160000] lr: 4.560e-05, eta: 8:19:17, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3093, decode.acc_seg: 87.5779, aux.loss_ce: 0.1720, aux.acc_seg: 83.7828, loss: 0.4813 2023-11-13 18:25:15,078 - mmseg - INFO - Iter [38450/160000] lr: 4.558e-05, eta: 8:19:02, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3127, decode.acc_seg: 87.3447, aux.loss_ce: 0.1746, aux.acc_seg: 83.4414, loss: 0.4873 2023-11-13 18:25:28,232 - mmseg - INFO - Iter [38500/160000] lr: 4.556e-05, eta: 8:18:53, time: 0.263, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2980, decode.acc_seg: 87.9672, aux.loss_ce: 0.1656, aux.acc_seg: 84.4630, loss: 0.4636 2023-11-13 18:25:39,893 - mmseg - INFO - Iter [38550/160000] lr: 4.554e-05, eta: 8:18:38, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2899, decode.acc_seg: 88.1341, aux.loss_ce: 0.1614, aux.acc_seg: 84.7830, loss: 0.4513 2023-11-13 18:25:51,816 - mmseg - INFO - Iter [38600/160000] lr: 4.553e-05, eta: 8:18:25, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2961, decode.acc_seg: 87.6535, aux.loss_ce: 0.1633, aux.acc_seg: 84.2129, loss: 0.4593 2023-11-13 18:26:03,547 - mmseg - INFO - Iter [38650/160000] lr: 4.551e-05, eta: 8:18:11, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3153, decode.acc_seg: 87.2518, aux.loss_ce: 0.1723, aux.acc_seg: 83.5735, loss: 0.4877 2023-11-13 18:26:15,307 - mmseg - INFO - Iter [38700/160000] lr: 4.549e-05, eta: 8:17:57, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3153, decode.acc_seg: 87.3344, aux.loss_ce: 0.1736, aux.acc_seg: 83.5286, loss: 0.4890 2023-11-13 18:26:26,989 - mmseg - INFO - Iter [38750/160000] lr: 4.547e-05, eta: 8:17:42, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3047, decode.acc_seg: 87.9507, aux.loss_ce: 0.1704, aux.acc_seg: 83.7788, loss: 0.4751 2023-11-13 18:26:39,821 - mmseg - INFO - Iter [38800/160000] lr: 4.545e-05, eta: 8:17:31, time: 0.256, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3217, decode.acc_seg: 87.3385, aux.loss_ce: 0.1727, aux.acc_seg: 83.7987, loss: 0.4944 2023-11-13 18:26:51,744 - mmseg - INFO - Iter [38850/160000] lr: 4.543e-05, eta: 8:17:18, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2935, decode.acc_seg: 88.5395, aux.loss_ce: 0.1648, aux.acc_seg: 84.8175, loss: 0.4584 2023-11-13 18:27:03,744 - mmseg - INFO - Iter [38900/160000] lr: 4.541e-05, eta: 8:17:05, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3031, decode.acc_seg: 87.7425, aux.loss_ce: 0.1628, aux.acc_seg: 84.4837, loss: 0.4659 2023-11-13 18:27:15,520 - mmseg - INFO - Iter [38950/160000] lr: 4.539e-05, eta: 8:16:51, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3113, decode.acc_seg: 87.4854, aux.loss_ce: 0.1693, aux.acc_seg: 83.7357, loss: 0.4806 2023-11-13 18:27:27,843 - mmseg - INFO - Saving checkpoint at 39000 iterations 2023-11-13 18:27:30,464 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:27:30,464 - mmseg - INFO - Iter [39000/160000] lr: 4.538e-05, eta: 8:16:47, time: 0.300, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3044, decode.acc_seg: 87.7902, aux.loss_ce: 0.1625, aux.acc_seg: 84.6768, loss: 0.4668 2023-11-13 18:27:42,201 - mmseg - INFO - Iter [39050/160000] lr: 4.536e-05, eta: 8:16:32, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2991, decode.acc_seg: 87.8817, aux.loss_ce: 0.1623, aux.acc_seg: 84.2634, loss: 0.4614 2023-11-13 18:27:54,683 - mmseg - INFO - Iter [39100/160000] lr: 4.534e-05, eta: 8:16:21, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3085, decode.acc_seg: 87.2553, aux.loss_ce: 0.1646, aux.acc_seg: 84.0466, loss: 0.4731 2023-11-13 18:28:06,275 - mmseg - INFO - Iter [39150/160000] lr: 4.532e-05, eta: 8:16:06, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3186, decode.acc_seg: 86.9925, aux.loss_ce: 0.1675, aux.acc_seg: 83.9566, loss: 0.4861 2023-11-13 18:28:20,415 - mmseg - INFO - Iter [39200/160000] lr: 4.530e-05, eta: 8:15:59, time: 0.283, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2954, decode.acc_seg: 87.7480, aux.loss_ce: 0.1687, aux.acc_seg: 83.8681, loss: 0.4640 2023-11-13 18:28:32,165 - mmseg - INFO - Iter [39250/160000] lr: 4.528e-05, eta: 8:15:45, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3098, decode.acc_seg: 87.7312, aux.loss_ce: 0.1685, aux.acc_seg: 84.3213, loss: 0.4783 2023-11-13 18:28:43,802 - mmseg - INFO - Iter [39300/160000] lr: 4.526e-05, eta: 8:15:31, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2795, decode.acc_seg: 88.4654, aux.loss_ce: 0.1553, aux.acc_seg: 84.7371, loss: 0.4348 2023-11-13 18:28:55,569 - mmseg - INFO - Iter [39350/160000] lr: 4.524e-05, eta: 8:15:17, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2948, decode.acc_seg: 88.3088, aux.loss_ce: 0.1652, aux.acc_seg: 84.5590, loss: 0.4600 2023-11-13 18:29:07,216 - mmseg - INFO - Iter [39400/160000] lr: 4.523e-05, eta: 8:15:03, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2848, decode.acc_seg: 88.6469, aux.loss_ce: 0.1580, aux.acc_seg: 84.6620, loss: 0.4428 2023-11-13 18:29:19,001 - mmseg - INFO - Iter [39450/160000] lr: 4.521e-05, eta: 8:14:49, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3137, decode.acc_seg: 87.1370, aux.loss_ce: 0.1698, aux.acc_seg: 83.6127, loss: 0.4835 2023-11-13 18:29:30,645 - mmseg - INFO - Iter [39500/160000] lr: 4.519e-05, eta: 8:14:34, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3141, decode.acc_seg: 87.5832, aux.loss_ce: 0.1737, aux.acc_seg: 83.5274, loss: 0.4878 2023-11-13 18:29:42,328 - mmseg - INFO - Iter [39550/160000] lr: 4.517e-05, eta: 8:14:20, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3024, decode.acc_seg: 88.2067, aux.loss_ce: 0.1683, aux.acc_seg: 84.3696, loss: 0.4707 2023-11-13 18:29:54,271 - mmseg - INFO - Iter [39600/160000] lr: 4.515e-05, eta: 8:14:07, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2866, decode.acc_seg: 88.2785, aux.loss_ce: 0.1594, aux.acc_seg: 84.4710, loss: 0.4461 2023-11-13 18:30:06,306 - mmseg - INFO - Iter [39650/160000] lr: 4.513e-05, eta: 8:13:53, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3070, decode.acc_seg: 87.8412, aux.loss_ce: 0.1696, aux.acc_seg: 84.1684, loss: 0.4766 2023-11-13 18:30:18,564 - mmseg - INFO - Iter [39700/160000] lr: 4.511e-05, eta: 8:13:41, time: 0.245, data_time: 0.006, memory: 5958, decode.loss_ce: 0.3009, decode.acc_seg: 87.7491, aux.loss_ce: 0.1596, aux.acc_seg: 84.7206, loss: 0.4604 2023-11-13 18:30:30,532 - mmseg - INFO - Iter [39750/160000] lr: 4.509e-05, eta: 8:13:28, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2906, decode.acc_seg: 87.9432, aux.loss_ce: 0.1569, aux.acc_seg: 84.9667, loss: 0.4475 2023-11-13 18:30:42,749 - mmseg - INFO - Iter [39800/160000] lr: 4.508e-05, eta: 8:13:15, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2796, decode.acc_seg: 88.3791, aux.loss_ce: 0.1576, aux.acc_seg: 84.8017, loss: 0.4372 2023-11-13 18:30:54,364 - mmseg - INFO - Iter [39850/160000] lr: 4.506e-05, eta: 8:13:01, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2953, decode.acc_seg: 88.4135, aux.loss_ce: 0.1652, aux.acc_seg: 84.7591, loss: 0.4605 2023-11-13 18:31:06,174 - mmseg - INFO - Iter [39900/160000] lr: 4.504e-05, eta: 8:12:47, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2934, decode.acc_seg: 87.8529, aux.loss_ce: 0.1608, aux.acc_seg: 84.2950, loss: 0.4542 2023-11-13 18:31:17,843 - mmseg - INFO - Iter [39950/160000] lr: 4.502e-05, eta: 8:12:33, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3146, decode.acc_seg: 87.4992, aux.loss_ce: 0.1728, aux.acc_seg: 83.8922, loss: 0.4874 2023-11-13 18:31:29,500 - mmseg - INFO - Saving checkpoint at 40000 iterations 2023-11-13 18:31:32,044 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:31:32,045 - mmseg - INFO - Iter [40000/160000] lr: 4.500e-05, eta: 8:12:26, time: 0.284, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3082, decode.acc_seg: 87.6201, aux.loss_ce: 0.1676, aux.acc_seg: 83.7824, loss: 0.4758 2023-11-13 18:31:43,749 - mmseg - INFO - Iter [40050/160000] lr: 4.498e-05, eta: 8:12:12, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3078, decode.acc_seg: 87.2974, aux.loss_ce: 0.1641, aux.acc_seg: 84.0219, loss: 0.4718 2023-11-13 18:31:55,459 - mmseg - INFO - Iter [40100/160000] lr: 4.496e-05, eta: 8:11:58, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3152, decode.acc_seg: 87.5168, aux.loss_ce: 0.1694, aux.acc_seg: 84.1491, loss: 0.4846 2023-11-13 18:32:07,573 - mmseg - INFO - Iter [40150/160000] lr: 4.494e-05, eta: 8:11:45, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3129, decode.acc_seg: 87.7453, aux.loss_ce: 0.1716, aux.acc_seg: 83.8005, loss: 0.4845 2023-11-13 18:32:19,606 - mmseg - INFO - Iter [40200/160000] lr: 4.493e-05, eta: 8:11:32, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2828, decode.acc_seg: 88.6408, aux.loss_ce: 0.1579, aux.acc_seg: 84.6202, loss: 0.4407 2023-11-13 18:32:32,237 - mmseg - INFO - Iter [40250/160000] lr: 4.491e-05, eta: 8:11:20, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3087, decode.acc_seg: 87.5198, aux.loss_ce: 0.1645, aux.acc_seg: 84.3602, loss: 0.4732 2023-11-13 18:32:44,147 - mmseg - INFO - Iter [40300/160000] lr: 4.489e-05, eta: 8:11:07, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2990, decode.acc_seg: 87.6693, aux.loss_ce: 0.1601, aux.acc_seg: 84.4742, loss: 0.4592 2023-11-13 18:32:55,821 - mmseg - INFO - Iter [40350/160000] lr: 4.487e-05, eta: 8:10:53, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3085, decode.acc_seg: 87.5318, aux.loss_ce: 0.1689, aux.acc_seg: 83.9760, loss: 0.4774 2023-11-13 18:33:07,454 - mmseg - INFO - Iter [40400/160000] lr: 4.485e-05, eta: 8:10:38, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3122, decode.acc_seg: 87.5163, aux.loss_ce: 0.1714, aux.acc_seg: 83.6956, loss: 0.4835 2023-11-13 18:33:21,359 - mmseg - INFO - Iter [40450/160000] lr: 4.483e-05, eta: 8:10:31, time: 0.278, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2843, decode.acc_seg: 88.2696, aux.loss_ce: 0.1595, aux.acc_seg: 84.9450, loss: 0.4437 2023-11-13 18:33:33,214 - mmseg - INFO - Iter [40500/160000] lr: 4.481e-05, eta: 8:10:17, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2840, decode.acc_seg: 88.2047, aux.loss_ce: 0.1570, aux.acc_seg: 84.6874, loss: 0.4410 2023-11-13 18:33:44,975 - mmseg - INFO - Iter [40550/160000] lr: 4.479e-05, eta: 8:10:03, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2993, decode.acc_seg: 87.5830, aux.loss_ce: 0.1595, aux.acc_seg: 84.3345, loss: 0.4588 2023-11-13 18:33:56,637 - mmseg - INFO - Iter [40600/160000] lr: 4.478e-05, eta: 8:09:49, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2906, decode.acc_seg: 88.2781, aux.loss_ce: 0.1573, aux.acc_seg: 84.9503, loss: 0.4479 2023-11-13 18:34:08,267 - mmseg - INFO - Iter [40650/160000] lr: 4.476e-05, eta: 8:09:35, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2968, decode.acc_seg: 87.8151, aux.loss_ce: 0.1645, aux.acc_seg: 84.3118, loss: 0.4613 2023-11-13 18:34:21,189 - mmseg - INFO - Iter [40700/160000] lr: 4.474e-05, eta: 8:09:24, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3205, decode.acc_seg: 87.3490, aux.loss_ce: 0.1711, aux.acc_seg: 84.0567, loss: 0.4915 2023-11-13 18:34:33,026 - mmseg - INFO - Iter [40750/160000] lr: 4.472e-05, eta: 8:09:10, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2925, decode.acc_seg: 88.2936, aux.loss_ce: 0.1610, aux.acc_seg: 84.7178, loss: 0.4535 2023-11-13 18:34:44,931 - mmseg - INFO - Iter [40800/160000] lr: 4.470e-05, eta: 8:08:57, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2801, decode.acc_seg: 88.6152, aux.loss_ce: 0.1544, aux.acc_seg: 85.4493, loss: 0.4345 2023-11-13 18:34:56,607 - mmseg - INFO - Iter [40850/160000] lr: 4.468e-05, eta: 8:08:43, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3117, decode.acc_seg: 87.7769, aux.loss_ce: 0.1702, aux.acc_seg: 84.2667, loss: 0.4820 2023-11-13 18:35:09,240 - mmseg - INFO - Iter [40900/160000] lr: 4.466e-05, eta: 8:08:32, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2897, decode.acc_seg: 88.0522, aux.loss_ce: 0.1608, aux.acc_seg: 84.2017, loss: 0.4505 2023-11-13 18:35:20,918 - mmseg - INFO - Iter [40950/160000] lr: 4.464e-05, eta: 8:08:17, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2922, decode.acc_seg: 88.2899, aux.loss_ce: 0.1642, aux.acc_seg: 84.4801, loss: 0.4565 2023-11-13 18:35:33,151 - mmseg - INFO - Saving checkpoint at 41000 iterations 2023-11-13 18:35:35,785 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:35:35,785 - mmseg - INFO - Iter [41000/160000] lr: 4.463e-05, eta: 8:08:13, time: 0.297, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2822, decode.acc_seg: 88.3581, aux.loss_ce: 0.1583, aux.acc_seg: 84.9226, loss: 0.4405 2023-11-13 18:35:47,978 - mmseg - INFO - Iter [41050/160000] lr: 4.461e-05, eta: 8:08:00, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2902, decode.acc_seg: 88.4656, aux.loss_ce: 0.1606, aux.acc_seg: 84.5982, loss: 0.4508 2023-11-13 18:35:59,702 - mmseg - INFO - Iter [41100/160000] lr: 4.459e-05, eta: 8:07:46, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2975, decode.acc_seg: 88.0916, aux.loss_ce: 0.1639, aux.acc_seg: 84.3307, loss: 0.4614 2023-11-13 18:36:11,385 - mmseg - INFO - Iter [41150/160000] lr: 4.457e-05, eta: 8:07:32, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2942, decode.acc_seg: 87.9287, aux.loss_ce: 0.1616, aux.acc_seg: 84.6136, loss: 0.4558 2023-11-13 18:36:22,991 - mmseg - INFO - Iter [41200/160000] lr: 4.455e-05, eta: 8:07:17, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2883, decode.acc_seg: 88.4494, aux.loss_ce: 0.1528, aux.acc_seg: 85.3242, loss: 0.4411 2023-11-13 18:36:34,592 - mmseg - INFO - Iter [41250/160000] lr: 4.453e-05, eta: 8:07:03, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3115, decode.acc_seg: 87.3396, aux.loss_ce: 0.1744, aux.acc_seg: 83.6069, loss: 0.4859 2023-11-13 18:36:46,205 - mmseg - INFO - Iter [41300/160000] lr: 4.451e-05, eta: 8:06:49, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2970, decode.acc_seg: 88.3406, aux.loss_ce: 0.1638, aux.acc_seg: 84.9195, loss: 0.4607 2023-11-13 18:36:57,802 - mmseg - INFO - Iter [41350/160000] lr: 4.449e-05, eta: 8:06:34, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3225, decode.acc_seg: 87.3633, aux.loss_ce: 0.1728, aux.acc_seg: 83.9154, loss: 0.4953 2023-11-13 18:37:09,497 - mmseg - INFO - Iter [41400/160000] lr: 4.448e-05, eta: 8:06:20, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3024, decode.acc_seg: 87.6124, aux.loss_ce: 0.1621, aux.acc_seg: 84.6495, loss: 0.4645 2023-11-13 18:37:21,121 - mmseg - INFO - Iter [41450/160000] lr: 4.446e-05, eta: 8:06:06, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3071, decode.acc_seg: 87.4443, aux.loss_ce: 0.1652, aux.acc_seg: 84.1816, loss: 0.4723 2023-11-13 18:37:32,691 - mmseg - INFO - Iter [41500/160000] lr: 4.444e-05, eta: 8:05:52, time: 0.231, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3007, decode.acc_seg: 87.9385, aux.loss_ce: 0.1592, aux.acc_seg: 84.8090, loss: 0.4599 2023-11-13 18:37:44,313 - mmseg - INFO - Iter [41550/160000] lr: 4.442e-05, eta: 8:05:38, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3129, decode.acc_seg: 87.3995, aux.loss_ce: 0.1721, aux.acc_seg: 83.8040, loss: 0.4850 2023-11-13 18:37:56,198 - mmseg - INFO - Iter [41600/160000] lr: 4.440e-05, eta: 8:05:24, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2958, decode.acc_seg: 87.9444, aux.loss_ce: 0.1644, aux.acc_seg: 84.3254, loss: 0.4602 2023-11-13 18:38:07,858 - mmseg - INFO - Iter [41650/160000] lr: 4.438e-05, eta: 8:05:10, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3017, decode.acc_seg: 87.8666, aux.loss_ce: 0.1610, aux.acc_seg: 84.7776, loss: 0.4627 2023-11-13 18:38:21,941 - mmseg - INFO - Iter [41700/160000] lr: 4.436e-05, eta: 8:05:03, time: 0.282, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2866, decode.acc_seg: 88.4520, aux.loss_ce: 0.1597, aux.acc_seg: 85.0900, loss: 0.4463 2023-11-13 18:38:33,618 - mmseg - INFO - Iter [41750/160000] lr: 4.434e-05, eta: 8:04:49, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3034, decode.acc_seg: 87.9698, aux.loss_ce: 0.1656, aux.acc_seg: 84.6576, loss: 0.4689 2023-11-13 18:38:45,607 - mmseg - INFO - Iter [41800/160000] lr: 4.433e-05, eta: 8:04:35, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2883, decode.acc_seg: 88.3864, aux.loss_ce: 0.1623, aux.acc_seg: 84.5413, loss: 0.4507 2023-11-13 18:38:57,539 - mmseg - INFO - Iter [41850/160000] lr: 4.431e-05, eta: 8:04:22, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2976, decode.acc_seg: 87.9939, aux.loss_ce: 0.1627, aux.acc_seg: 84.4828, loss: 0.4604 2023-11-13 18:39:09,408 - mmseg - INFO - Iter [41900/160000] lr: 4.429e-05, eta: 8:04:09, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2876, decode.acc_seg: 88.2700, aux.loss_ce: 0.1592, aux.acc_seg: 84.4108, loss: 0.4468 2023-11-13 18:39:21,157 - mmseg - INFO - Iter [41950/160000] lr: 4.427e-05, eta: 8:03:55, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2938, decode.acc_seg: 88.5883, aux.loss_ce: 0.1642, aux.acc_seg: 84.6373, loss: 0.4581 2023-11-13 18:39:32,789 - mmseg - INFO - Saving checkpoint at 42000 iterations 2023-11-13 18:39:35,425 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:39:35,425 - mmseg - INFO - Iter [42000/160000] lr: 4.425e-05, eta: 8:03:48, time: 0.285, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2917, decode.acc_seg: 88.4430, aux.loss_ce: 0.1621, aux.acc_seg: 84.9758, loss: 0.4538 2023-11-13 18:39:47,491 - mmseg - INFO - Iter [42050/160000] lr: 4.423e-05, eta: 8:03:35, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2923, decode.acc_seg: 88.1919, aux.loss_ce: 0.1587, aux.acc_seg: 84.8284, loss: 0.4509 2023-11-13 18:40:00,165 - mmseg - INFO - Iter [42100/160000] lr: 4.421e-05, eta: 8:03:24, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2959, decode.acc_seg: 88.1627, aux.loss_ce: 0.1626, aux.acc_seg: 84.7285, loss: 0.4586 2023-11-13 18:40:11,791 - mmseg - INFO - Iter [42150/160000] lr: 4.419e-05, eta: 8:03:10, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2964, decode.acc_seg: 88.0940, aux.loss_ce: 0.1635, aux.acc_seg: 84.5812, loss: 0.4599 2023-11-13 18:40:23,653 - mmseg - INFO - Iter [42200/160000] lr: 4.418e-05, eta: 8:02:56, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2844, decode.acc_seg: 88.3457, aux.loss_ce: 0.1544, aux.acc_seg: 85.1743, loss: 0.4387 2023-11-13 18:40:35,301 - mmseg - INFO - Iter [42250/160000] lr: 4.416e-05, eta: 8:02:42, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2801, decode.acc_seg: 88.7086, aux.loss_ce: 0.1592, aux.acc_seg: 85.0574, loss: 0.4393 2023-11-13 18:40:46,937 - mmseg - INFO - Iter [42300/160000] lr: 4.414e-05, eta: 8:02:28, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2917, decode.acc_seg: 88.1380, aux.loss_ce: 0.1667, aux.acc_seg: 84.1499, loss: 0.4584 2023-11-13 18:40:58,757 - mmseg - INFO - Iter [42350/160000] lr: 4.412e-05, eta: 8:02:14, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2862, decode.acc_seg: 88.3571, aux.loss_ce: 0.1616, aux.acc_seg: 84.2143, loss: 0.4478 2023-11-13 18:41:11,430 - mmseg - INFO - Iter [42400/160000] lr: 4.410e-05, eta: 8:02:03, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3078, decode.acc_seg: 87.9078, aux.loss_ce: 0.1656, aux.acc_seg: 84.2965, loss: 0.4733 2023-11-13 18:41:23,833 - mmseg - INFO - Iter [42450/160000] lr: 4.408e-05, eta: 8:01:51, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3117, decode.acc_seg: 87.8342, aux.loss_ce: 0.1705, aux.acc_seg: 84.2892, loss: 0.4822 2023-11-13 18:41:35,502 - mmseg - INFO - Iter [42500/160000] lr: 4.406e-05, eta: 8:01:37, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3018, decode.acc_seg: 88.0103, aux.loss_ce: 0.1657, aux.acc_seg: 84.3104, loss: 0.4675 2023-11-13 18:41:47,427 - mmseg - INFO - Iter [42550/160000] lr: 4.404e-05, eta: 8:01:24, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2853, decode.acc_seg: 88.2650, aux.loss_ce: 0.1587, aux.acc_seg: 84.6072, loss: 0.4440 2023-11-13 18:41:59,057 - mmseg - INFO - Iter [42600/160000] lr: 4.403e-05, eta: 8:01:09, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2903, decode.acc_seg: 87.9689, aux.loss_ce: 0.1599, aux.acc_seg: 84.4377, loss: 0.4502 2023-11-13 18:42:10,696 - mmseg - INFO - Iter [42650/160000] lr: 4.401e-05, eta: 8:00:55, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2874, decode.acc_seg: 88.4469, aux.loss_ce: 0.1557, aux.acc_seg: 85.3092, loss: 0.4431 2023-11-13 18:42:22,433 - mmseg - INFO - Iter [42700/160000] lr: 4.399e-05, eta: 8:00:42, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2961, decode.acc_seg: 88.2541, aux.loss_ce: 0.1636, aux.acc_seg: 84.3622, loss: 0.4597 2023-11-13 18:42:34,116 - mmseg - INFO - Iter [42750/160000] lr: 4.397e-05, eta: 8:00:28, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2914, decode.acc_seg: 87.9952, aux.loss_ce: 0.1602, aux.acc_seg: 84.4460, loss: 0.4516 2023-11-13 18:42:45,712 - mmseg - INFO - Iter [42800/160000] lr: 4.395e-05, eta: 8:00:13, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2975, decode.acc_seg: 88.4201, aux.loss_ce: 0.1632, aux.acc_seg: 84.7823, loss: 0.4607 2023-11-13 18:42:57,344 - mmseg - INFO - Iter [42850/160000] lr: 4.393e-05, eta: 7:59:59, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3102, decode.acc_seg: 87.9575, aux.loss_ce: 0.1687, aux.acc_seg: 84.3234, loss: 0.4789 2023-11-13 18:43:09,626 - mmseg - INFO - Iter [42900/160000] lr: 4.391e-05, eta: 7:59:47, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2855, decode.acc_seg: 88.1817, aux.loss_ce: 0.1556, aux.acc_seg: 84.5099, loss: 0.4410 2023-11-13 18:43:23,894 - mmseg - INFO - Iter [42950/160000] lr: 4.389e-05, eta: 7:59:40, time: 0.286, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2763, decode.acc_seg: 88.6047, aux.loss_ce: 0.1497, aux.acc_seg: 85.2680, loss: 0.4259 2023-11-13 18:43:36,004 - mmseg - INFO - Saving checkpoint at 43000 iterations 2023-11-13 18:43:38,653 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:43:38,654 - mmseg - INFO - Iter [43000/160000] lr: 4.388e-05, eta: 7:59:34, time: 0.295, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2925, decode.acc_seg: 88.0616, aux.loss_ce: 0.1639, aux.acc_seg: 84.2177, loss: 0.4564 2023-11-13 18:43:50,555 - mmseg - INFO - Iter [43050/160000] lr: 4.386e-05, eta: 7:59:21, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2779, decode.acc_seg: 88.5248, aux.loss_ce: 0.1556, aux.acc_seg: 84.8953, loss: 0.4334 2023-11-13 18:44:02,372 - mmseg - INFO - Iter [43100/160000] lr: 4.384e-05, eta: 7:59:07, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2715, decode.acc_seg: 89.0637, aux.loss_ce: 0.1486, aux.acc_seg: 86.0128, loss: 0.4201 2023-11-13 18:44:14,978 - mmseg - INFO - Iter [43150/160000] lr: 4.382e-05, eta: 7:58:56, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2848, decode.acc_seg: 88.5837, aux.loss_ce: 0.1578, aux.acc_seg: 84.8072, loss: 0.4426 2023-11-13 18:44:26,594 - mmseg - INFO - Iter [43200/160000] lr: 4.380e-05, eta: 7:58:42, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2947, decode.acc_seg: 88.3361, aux.loss_ce: 0.1621, aux.acc_seg: 84.6276, loss: 0.4568 2023-11-13 18:44:38,186 - mmseg - INFO - Iter [43250/160000] lr: 4.378e-05, eta: 7:58:28, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2948, decode.acc_seg: 88.3514, aux.loss_ce: 0.1644, aux.acc_seg: 84.8017, loss: 0.4592 2023-11-13 18:44:50,352 - mmseg - INFO - Iter [43300/160000] lr: 4.376e-05, eta: 7:58:15, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2820, decode.acc_seg: 88.5327, aux.loss_ce: 0.1532, aux.acc_seg: 85.5487, loss: 0.4352 2023-11-13 18:45:02,160 - mmseg - INFO - Iter [43350/160000] lr: 4.374e-05, eta: 7:58:01, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2752, decode.acc_seg: 88.6265, aux.loss_ce: 0.1529, aux.acc_seg: 85.1241, loss: 0.4282 2023-11-13 18:45:14,056 - mmseg - INFO - Iter [43400/160000] lr: 4.373e-05, eta: 7:57:48, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2756, decode.acc_seg: 89.0125, aux.loss_ce: 0.1538, aux.acc_seg: 85.1638, loss: 0.4295 2023-11-13 18:45:25,662 - mmseg - INFO - Iter [43450/160000] lr: 4.371e-05, eta: 7:57:34, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2829, decode.acc_seg: 88.6751, aux.loss_ce: 0.1547, aux.acc_seg: 85.4900, loss: 0.4376 2023-11-13 18:45:37,345 - mmseg - INFO - Iter [43500/160000] lr: 4.369e-05, eta: 7:57:20, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2925, decode.acc_seg: 87.9674, aux.loss_ce: 0.1599, aux.acc_seg: 84.9358, loss: 0.4524 2023-11-13 18:45:49,127 - mmseg - INFO - Iter [43550/160000] lr: 4.367e-05, eta: 7:57:06, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2856, decode.acc_seg: 88.4288, aux.loss_ce: 0.1602, aux.acc_seg: 84.4336, loss: 0.4458 2023-11-13 18:46:00,735 - mmseg - INFO - Iter [43600/160000] lr: 4.365e-05, eta: 7:56:52, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2788, decode.acc_seg: 88.6445, aux.loss_ce: 0.1533, aux.acc_seg: 85.2961, loss: 0.4321 2023-11-13 18:46:12,399 - mmseg - INFO - Iter [43650/160000] lr: 4.363e-05, eta: 7:56:38, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2946, decode.acc_seg: 88.0911, aux.loss_ce: 0.1647, aux.acc_seg: 84.3706, loss: 0.4593 2023-11-13 18:46:24,235 - mmseg - INFO - Iter [43700/160000] lr: 4.361e-05, eta: 7:56:25, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2915, decode.acc_seg: 87.9728, aux.loss_ce: 0.1594, aux.acc_seg: 84.4246, loss: 0.4509 2023-11-13 18:46:35,833 - mmseg - INFO - Iter [43750/160000] lr: 4.359e-05, eta: 7:56:11, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2785, decode.acc_seg: 88.6825, aux.loss_ce: 0.1551, aux.acc_seg: 85.3106, loss: 0.4336 2023-11-13 18:46:47,523 - mmseg - INFO - Iter [43800/160000] lr: 4.358e-05, eta: 7:55:57, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2898, decode.acc_seg: 88.2344, aux.loss_ce: 0.1643, aux.acc_seg: 84.6486, loss: 0.4541 2023-11-13 18:46:59,192 - mmseg - INFO - Iter [43850/160000] lr: 4.356e-05, eta: 7:55:43, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2731, decode.acc_seg: 88.9407, aux.loss_ce: 0.1510, aux.acc_seg: 85.3171, loss: 0.4241 2023-11-13 18:47:10,815 - mmseg - INFO - Iter [43900/160000] lr: 4.354e-05, eta: 7:55:29, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2904, decode.acc_seg: 88.1253, aux.loss_ce: 0.1567, aux.acc_seg: 84.9602, loss: 0.4471 2023-11-13 18:47:23,516 - mmseg - INFO - Iter [43950/160000] lr: 4.352e-05, eta: 7:55:18, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2875, decode.acc_seg: 87.9460, aux.loss_ce: 0.1616, aux.acc_seg: 84.2030, loss: 0.4490 2023-11-13 18:47:35,188 - mmseg - INFO - Saving checkpoint at 44000 iterations 2023-11-13 18:47:37,866 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:47:37,867 - mmseg - INFO - Iter [44000/160000] lr: 4.350e-05, eta: 7:55:11, time: 0.287, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2740, decode.acc_seg: 88.8055, aux.loss_ce: 0.1517, aux.acc_seg: 85.1590, loss: 0.4258 2023-11-13 18:47:49,573 - mmseg - INFO - Iter [44050/160000] lr: 4.348e-05, eta: 7:54:57, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2730, decode.acc_seg: 88.5637, aux.loss_ce: 0.1569, aux.acc_seg: 85.0711, loss: 0.4300 2023-11-13 18:48:01,197 - mmseg - INFO - Iter [44100/160000] lr: 4.346e-05, eta: 7:54:43, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2932, decode.acc_seg: 88.3190, aux.loss_ce: 0.1642, aux.acc_seg: 84.4803, loss: 0.4574 2023-11-13 18:48:12,827 - mmseg - INFO - Iter [44150/160000] lr: 4.344e-05, eta: 7:54:29, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2860, decode.acc_seg: 88.2673, aux.loss_ce: 0.1605, aux.acc_seg: 84.5538, loss: 0.4465 2023-11-13 18:48:24,833 - mmseg - INFO - Iter [44200/160000] lr: 4.343e-05, eta: 7:54:16, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2826, decode.acc_seg: 88.6020, aux.loss_ce: 0.1557, aux.acc_seg: 85.1295, loss: 0.4383 2023-11-13 18:48:38,741 - mmseg - INFO - Iter [44250/160000] lr: 4.341e-05, eta: 7:54:08, time: 0.278, data_time: 0.047, memory: 5958, decode.loss_ce: 0.2783, decode.acc_seg: 88.6434, aux.loss_ce: 0.1592, aux.acc_seg: 84.6979, loss: 0.4375 2023-11-13 18:48:50,793 - mmseg - INFO - Iter [44300/160000] lr: 4.339e-05, eta: 7:53:55, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2781, decode.acc_seg: 88.4837, aux.loss_ce: 0.1543, aux.acc_seg: 85.3026, loss: 0.4325 2023-11-13 18:49:04,085 - mmseg - INFO - Iter [44350/160000] lr: 4.337e-05, eta: 7:53:45, time: 0.266, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2827, decode.acc_seg: 88.7264, aux.loss_ce: 0.1522, aux.acc_seg: 85.5223, loss: 0.4349 2023-11-13 18:49:16,053 - mmseg - INFO - Iter [44400/160000] lr: 4.335e-05, eta: 7:53:32, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2866, decode.acc_seg: 88.2294, aux.loss_ce: 0.1592, aux.acc_seg: 84.3630, loss: 0.4459 2023-11-13 18:49:27,734 - mmseg - INFO - Iter [44450/160000] lr: 4.333e-05, eta: 7:53:18, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2647, decode.acc_seg: 89.3420, aux.loss_ce: 0.1493, aux.acc_seg: 85.8757, loss: 0.4140 2023-11-13 18:49:39,620 - mmseg - INFO - Iter [44500/160000] lr: 4.331e-05, eta: 7:53:05, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2717, decode.acc_seg: 89.0884, aux.loss_ce: 0.1567, aux.acc_seg: 84.8168, loss: 0.4284 2023-11-13 18:49:51,921 - mmseg - INFO - Iter [44550/160000] lr: 4.329e-05, eta: 7:52:53, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2819, decode.acc_seg: 88.4646, aux.loss_ce: 0.1575, aux.acc_seg: 84.8419, loss: 0.4394 2023-11-13 18:50:03,603 - mmseg - INFO - Iter [44600/160000] lr: 4.328e-05, eta: 7:52:39, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2741, decode.acc_seg: 88.8227, aux.loss_ce: 0.1510, aux.acc_seg: 85.3887, loss: 0.4251 2023-11-13 18:50:15,245 - mmseg - INFO - Iter [44650/160000] lr: 4.326e-05, eta: 7:52:25, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2877, decode.acc_seg: 88.4559, aux.loss_ce: 0.1574, aux.acc_seg: 85.3811, loss: 0.4451 2023-11-13 18:50:27,016 - mmseg - INFO - Iter [44700/160000] lr: 4.324e-05, eta: 7:52:11, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2716, decode.acc_seg: 88.8923, aux.loss_ce: 0.1492, aux.acc_seg: 85.4236, loss: 0.4208 2023-11-13 18:50:38,697 - mmseg - INFO - Iter [44750/160000] lr: 4.322e-05, eta: 7:51:57, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2825, decode.acc_seg: 88.7988, aux.loss_ce: 0.1514, aux.acc_seg: 85.5126, loss: 0.4339 2023-11-13 18:50:50,468 - mmseg - INFO - Iter [44800/160000] lr: 4.320e-05, eta: 7:51:44, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.3015, decode.acc_seg: 87.9535, aux.loss_ce: 0.1631, aux.acc_seg: 84.7671, loss: 0.4645 2023-11-13 18:51:02,525 - mmseg - INFO - Iter [44850/160000] lr: 4.318e-05, eta: 7:51:31, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2894, decode.acc_seg: 88.5122, aux.loss_ce: 0.1568, aux.acc_seg: 85.1413, loss: 0.4462 2023-11-13 18:51:15,629 - mmseg - INFO - Iter [44900/160000] lr: 4.316e-05, eta: 7:51:21, time: 0.262, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2689, decode.acc_seg: 89.0471, aux.loss_ce: 0.1468, aux.acc_seg: 85.8439, loss: 0.4157 2023-11-13 18:51:27,429 - mmseg - INFO - Iter [44950/160000] lr: 4.314e-05, eta: 7:51:07, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2791, decode.acc_seg: 88.5690, aux.loss_ce: 0.1536, aux.acc_seg: 85.0360, loss: 0.4327 2023-11-13 18:51:39,541 - mmseg - INFO - Saving checkpoint at 45000 iterations 2023-11-13 18:51:42,062 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:51:42,063 - mmseg - INFO - Iter [45000/160000] lr: 4.313e-05, eta: 7:51:01, time: 0.293, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2837, decode.acc_seg: 88.4214, aux.loss_ce: 0.1564, aux.acc_seg: 84.7664, loss: 0.4401 2023-11-13 18:51:54,635 - mmseg - INFO - Iter [45050/160000] lr: 4.311e-05, eta: 7:50:49, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.3101, decode.acc_seg: 87.7829, aux.loss_ce: 0.1682, aux.acc_seg: 84.2316, loss: 0.4783 2023-11-13 18:52:06,957 - mmseg - INFO - Iter [45100/160000] lr: 4.309e-05, eta: 7:50:37, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2939, decode.acc_seg: 87.9484, aux.loss_ce: 0.1674, aux.acc_seg: 84.1211, loss: 0.4613 2023-11-13 18:52:19,174 - mmseg - INFO - Iter [45150/160000] lr: 4.307e-05, eta: 7:50:25, time: 0.245, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2739, decode.acc_seg: 88.7909, aux.loss_ce: 0.1522, aux.acc_seg: 85.1942, loss: 0.4262 2023-11-13 18:52:31,085 - mmseg - INFO - Iter [45200/160000] lr: 4.305e-05, eta: 7:50:11, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2919, decode.acc_seg: 88.2482, aux.loss_ce: 0.1595, aux.acc_seg: 85.0622, loss: 0.4513 2023-11-13 18:52:42,914 - mmseg - INFO - Iter [45250/160000] lr: 4.303e-05, eta: 7:49:58, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2806, decode.acc_seg: 88.6219, aux.loss_ce: 0.1531, aux.acc_seg: 85.2969, loss: 0.4337 2023-11-13 18:52:55,164 - mmseg - INFO - Iter [45300/160000] lr: 4.301e-05, eta: 7:49:46, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2875, decode.acc_seg: 88.4170, aux.loss_ce: 0.1566, aux.acc_seg: 85.1965, loss: 0.4441 2023-11-13 18:53:07,008 - mmseg - INFO - Iter [45350/160000] lr: 4.299e-05, eta: 7:49:32, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2891, decode.acc_seg: 88.3327, aux.loss_ce: 0.1612, aux.acc_seg: 84.3986, loss: 0.4503 2023-11-13 18:53:18,671 - mmseg - INFO - Iter [45400/160000] lr: 4.298e-05, eta: 7:49:18, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2908, decode.acc_seg: 88.1030, aux.loss_ce: 0.1598, aux.acc_seg: 85.0031, loss: 0.4506 2023-11-13 18:53:30,341 - mmseg - INFO - Iter [45450/160000] lr: 4.296e-05, eta: 7:49:04, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2826, decode.acc_seg: 88.4546, aux.loss_ce: 0.1533, aux.acc_seg: 85.1595, loss: 0.4359 2023-11-13 18:53:44,322 - mmseg - INFO - Iter [45500/160000] lr: 4.294e-05, eta: 7:48:56, time: 0.280, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2809, decode.acc_seg: 88.6026, aux.loss_ce: 0.1534, aux.acc_seg: 85.2522, loss: 0.4343 2023-11-13 18:53:56,027 - mmseg - INFO - Iter [45550/160000] lr: 4.292e-05, eta: 7:48:43, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2822, decode.acc_seg: 88.6860, aux.loss_ce: 0.1586, aux.acc_seg: 84.9254, loss: 0.4408 2023-11-13 18:54:08,284 - mmseg - INFO - Iter [45600/160000] lr: 4.290e-05, eta: 7:48:30, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2662, decode.acc_seg: 89.0016, aux.loss_ce: 0.1545, aux.acc_seg: 84.9724, loss: 0.4206 2023-11-13 18:54:19,973 - mmseg - INFO - Iter [45650/160000] lr: 4.288e-05, eta: 7:48:17, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2899, decode.acc_seg: 88.0915, aux.loss_ce: 0.1615, aux.acc_seg: 84.3520, loss: 0.4514 2023-11-13 18:54:31,984 - mmseg - INFO - Iter [45700/160000] lr: 4.286e-05, eta: 7:48:04, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2710, decode.acc_seg: 88.7904, aux.loss_ce: 0.1463, aux.acc_seg: 85.8180, loss: 0.4173 2023-11-13 18:54:43,591 - mmseg - INFO - Iter [45750/160000] lr: 4.284e-05, eta: 7:47:50, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2861, decode.acc_seg: 88.2061, aux.loss_ce: 0.1541, aux.acc_seg: 85.1816, loss: 0.4403 2023-11-13 18:54:55,574 - mmseg - INFO - Iter [45800/160000] lr: 4.283e-05, eta: 7:47:37, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2633, decode.acc_seg: 89.1800, aux.loss_ce: 0.1486, aux.acc_seg: 85.8086, loss: 0.4119 2023-11-13 18:55:07,257 - mmseg - INFO - Iter [45850/160000] lr: 4.281e-05, eta: 7:47:23, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2929, decode.acc_seg: 88.4727, aux.loss_ce: 0.1621, aux.acc_seg: 84.8833, loss: 0.4550 2023-11-13 18:55:19,484 - mmseg - INFO - Iter [45900/160000] lr: 4.279e-05, eta: 7:47:10, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2907, decode.acc_seg: 88.1466, aux.loss_ce: 0.1618, aux.acc_seg: 84.5979, loss: 0.4525 2023-11-13 18:55:31,252 - mmseg - INFO - Iter [45950/160000] lr: 4.277e-05, eta: 7:46:57, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2938, decode.acc_seg: 88.3308, aux.loss_ce: 0.1604, aux.acc_seg: 84.7705, loss: 0.4542 2023-11-13 18:55:43,069 - mmseg - INFO - Saving checkpoint at 46000 iterations 2023-11-13 18:55:45,688 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:55:45,688 - mmseg - INFO - Iter [46000/160000] lr: 4.275e-05, eta: 7:46:50, time: 0.289, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2710, decode.acc_seg: 88.6896, aux.loss_ce: 0.1493, aux.acc_seg: 85.6168, loss: 0.4203 2023-11-13 18:55:57,575 - mmseg - INFO - Iter [46050/160000] lr: 4.273e-05, eta: 7:46:37, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2730, decode.acc_seg: 88.8020, aux.loss_ce: 0.1556, aux.acc_seg: 85.0217, loss: 0.4286 2023-11-13 18:56:09,537 - mmseg - INFO - Iter [46100/160000] lr: 4.271e-05, eta: 7:46:24, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2750, decode.acc_seg: 88.8979, aux.loss_ce: 0.1545, aux.acc_seg: 85.1638, loss: 0.4295 2023-11-13 18:56:21,461 - mmseg - INFO - Iter [46150/160000] lr: 4.269e-05, eta: 7:46:10, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2876, decode.acc_seg: 88.4781, aux.loss_ce: 0.1537, aux.acc_seg: 85.2858, loss: 0.4414 2023-11-13 18:56:33,165 - mmseg - INFO - Iter [46200/160000] lr: 4.268e-05, eta: 7:45:57, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2613, decode.acc_seg: 89.1058, aux.loss_ce: 0.1425, aux.acc_seg: 86.4898, loss: 0.4039 2023-11-13 18:56:45,016 - mmseg - INFO - Iter [46250/160000] lr: 4.266e-05, eta: 7:45:43, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2721, decode.acc_seg: 89.0467, aux.loss_ce: 0.1503, aux.acc_seg: 85.5740, loss: 0.4224 2023-11-13 18:56:58,023 - mmseg - INFO - Iter [46300/160000] lr: 4.264e-05, eta: 7:45:33, time: 0.260, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2820, decode.acc_seg: 88.4121, aux.loss_ce: 0.1547, aux.acc_seg: 84.8620, loss: 0.4366 2023-11-13 18:57:09,918 - mmseg - INFO - Iter [46350/160000] lr: 4.262e-05, eta: 7:45:20, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2816, decode.acc_seg: 88.6338, aux.loss_ce: 0.1580, aux.acc_seg: 84.6523, loss: 0.4396 2023-11-13 18:57:21,555 - mmseg - INFO - Iter [46400/160000] lr: 4.260e-05, eta: 7:45:06, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2770, decode.acc_seg: 88.7008, aux.loss_ce: 0.1538, aux.acc_seg: 85.1243, loss: 0.4308 2023-11-13 18:57:33,325 - mmseg - INFO - Iter [46450/160000] lr: 4.258e-05, eta: 7:44:52, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2775, decode.acc_seg: 88.4489, aux.loss_ce: 0.1560, aux.acc_seg: 84.6912, loss: 0.4335 2023-11-13 18:57:45,295 - mmseg - INFO - Iter [46500/160000] lr: 4.256e-05, eta: 7:44:39, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2854, decode.acc_seg: 88.3096, aux.loss_ce: 0.1565, aux.acc_seg: 84.9941, loss: 0.4419 2023-11-13 18:57:57,166 - mmseg - INFO - Iter [46550/160000] lr: 4.254e-05, eta: 7:44:26, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2717, decode.acc_seg: 89.3008, aux.loss_ce: 0.1497, aux.acc_seg: 85.7593, loss: 0.4214 2023-11-13 18:58:09,166 - mmseg - INFO - Iter [46600/160000] lr: 4.253e-05, eta: 7:44:13, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2947, decode.acc_seg: 88.1827, aux.loss_ce: 0.1640, aux.acc_seg: 84.6204, loss: 0.4587 2023-11-13 18:58:20,921 - mmseg - INFO - Iter [46650/160000] lr: 4.251e-05, eta: 7:43:59, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2797, decode.acc_seg: 88.5829, aux.loss_ce: 0.1541, aux.acc_seg: 85.1575, loss: 0.4338 2023-11-13 18:58:32,574 - mmseg - INFO - Iter [46700/160000] lr: 4.249e-05, eta: 7:43:45, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2829, decode.acc_seg: 88.3901, aux.loss_ce: 0.1531, aux.acc_seg: 85.2832, loss: 0.4361 2023-11-13 18:58:46,479 - mmseg - INFO - Iter [46750/160000] lr: 4.247e-05, eta: 7:43:37, time: 0.278, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2839, decode.acc_seg: 88.3071, aux.loss_ce: 0.1594, aux.acc_seg: 84.6742, loss: 0.4432 2023-11-13 18:58:58,090 - mmseg - INFO - Iter [46800/160000] lr: 4.245e-05, eta: 7:43:23, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2820, decode.acc_seg: 88.5401, aux.loss_ce: 0.1577, aux.acc_seg: 85.0635, loss: 0.4397 2023-11-13 18:59:10,692 - mmseg - INFO - Iter [46850/160000] lr: 4.243e-05, eta: 7:43:12, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2847, decode.acc_seg: 88.6186, aux.loss_ce: 0.1561, aux.acc_seg: 85.3991, loss: 0.4408 2023-11-13 18:59:22,286 - mmseg - INFO - Iter [46900/160000] lr: 4.241e-05, eta: 7:42:58, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2745, decode.acc_seg: 88.8505, aux.loss_ce: 0.1558, aux.acc_seg: 85.1125, loss: 0.4303 2023-11-13 18:59:33,848 - mmseg - INFO - Iter [46950/160000] lr: 4.239e-05, eta: 7:42:44, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2886, decode.acc_seg: 88.5082, aux.loss_ce: 0.1593, aux.acc_seg: 84.9448, loss: 0.4479 2023-11-13 18:59:45,930 - mmseg - INFO - Saving checkpoint at 47000 iterations 2023-11-13 18:59:48,546 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 18:59:48,546 - mmseg - INFO - Iter [47000/160000] lr: 4.238e-05, eta: 7:42:37, time: 0.294, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2809, decode.acc_seg: 88.6922, aux.loss_ce: 0.1547, aux.acc_seg: 85.2980, loss: 0.4357 2023-11-13 19:00:00,475 - mmseg - INFO - Iter [47050/160000] lr: 4.236e-05, eta: 7:42:24, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2796, decode.acc_seg: 88.9243, aux.loss_ce: 0.1591, aux.acc_seg: 85.1043, loss: 0.4387 2023-11-13 19:00:12,479 - mmseg - INFO - Iter [47100/160000] lr: 4.234e-05, eta: 7:42:11, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2684, decode.acc_seg: 89.3462, aux.loss_ce: 0.1531, aux.acc_seg: 85.7659, loss: 0.4215 2023-11-13 19:00:24,475 - mmseg - INFO - Iter [47150/160000] lr: 4.232e-05, eta: 7:41:58, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2848, decode.acc_seg: 88.3368, aux.loss_ce: 0.1583, aux.acc_seg: 85.0101, loss: 0.4431 2023-11-13 19:00:36,417 - mmseg - INFO - Iter [47200/160000] lr: 4.230e-05, eta: 7:41:45, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2615, decode.acc_seg: 89.4557, aux.loss_ce: 0.1477, aux.acc_seg: 85.7844, loss: 0.4092 2023-11-13 19:00:48,230 - mmseg - INFO - Iter [47250/160000] lr: 4.228e-05, eta: 7:41:32, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2788, decode.acc_seg: 88.9884, aux.loss_ce: 0.1564, aux.acc_seg: 85.4743, loss: 0.4352 2023-11-13 19:00:59,937 - mmseg - INFO - Iter [47300/160000] lr: 4.226e-05, eta: 7:41:18, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2850, decode.acc_seg: 88.3833, aux.loss_ce: 0.1561, aux.acc_seg: 84.9049, loss: 0.4411 2023-11-13 19:01:11,698 - mmseg - INFO - Iter [47350/160000] lr: 4.224e-05, eta: 7:41:05, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2910, decode.acc_seg: 88.2977, aux.loss_ce: 0.1614, aux.acc_seg: 84.6376, loss: 0.4524 2023-11-13 19:01:23,635 - mmseg - INFO - Iter [47400/160000] lr: 4.223e-05, eta: 7:40:52, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2709, decode.acc_seg: 89.0499, aux.loss_ce: 0.1549, aux.acc_seg: 85.4700, loss: 0.4259 2023-11-13 19:01:35,305 - mmseg - INFO - Iter [47450/160000] lr: 4.221e-05, eta: 7:40:38, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2717, decode.acc_seg: 89.2677, aux.loss_ce: 0.1506, aux.acc_seg: 85.7305, loss: 0.4223 2023-11-13 19:01:46,898 - mmseg - INFO - Iter [47500/160000] lr: 4.219e-05, eta: 7:40:24, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2600, decode.acc_seg: 89.5151, aux.loss_ce: 0.1451, aux.acc_seg: 86.0080, loss: 0.4050 2023-11-13 19:01:58,764 - mmseg - INFO - Iter [47550/160000] lr: 4.217e-05, eta: 7:40:11, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2825, decode.acc_seg: 88.6767, aux.loss_ce: 0.1570, aux.acc_seg: 85.5087, loss: 0.4395 2023-11-13 19:02:10,374 - mmseg - INFO - Iter [47600/160000] lr: 4.215e-05, eta: 7:39:57, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2757, decode.acc_seg: 88.9160, aux.loss_ce: 0.1507, aux.acc_seg: 85.4329, loss: 0.4263 2023-11-13 19:02:21,955 - mmseg - INFO - Iter [47650/160000] lr: 4.213e-05, eta: 7:39:43, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2731, decode.acc_seg: 88.9919, aux.loss_ce: 0.1546, aux.acc_seg: 85.3014, loss: 0.4277 2023-11-13 19:02:33,639 - mmseg - INFO - Iter [47700/160000] lr: 4.211e-05, eta: 7:39:29, time: 0.234, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2497, decode.acc_seg: 89.7403, aux.loss_ce: 0.1410, aux.acc_seg: 86.3521, loss: 0.3907 2023-11-13 19:02:45,246 - mmseg - INFO - Iter [47750/160000] lr: 4.209e-05, eta: 7:39:15, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2676, decode.acc_seg: 88.6179, aux.loss_ce: 0.1522, aux.acc_seg: 84.8890, loss: 0.4198 2023-11-13 19:02:57,245 - mmseg - INFO - Iter [47800/160000] lr: 4.208e-05, eta: 7:39:02, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2838, decode.acc_seg: 88.4825, aux.loss_ce: 0.1544, aux.acc_seg: 85.2274, loss: 0.4382 2023-11-13 19:03:09,330 - mmseg - INFO - Iter [47850/160000] lr: 4.206e-05, eta: 7:38:50, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2762, decode.acc_seg: 88.8335, aux.loss_ce: 0.1525, aux.acc_seg: 85.7300, loss: 0.4287 2023-11-13 19:03:21,221 - mmseg - INFO - Iter [47900/160000] lr: 4.204e-05, eta: 7:38:37, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2759, decode.acc_seg: 88.6212, aux.loss_ce: 0.1540, aux.acc_seg: 85.1859, loss: 0.4299 2023-11-13 19:03:34,186 - mmseg - INFO - Iter [47950/160000] lr: 4.202e-05, eta: 7:38:26, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2690, decode.acc_seg: 89.1381, aux.loss_ce: 0.1553, aux.acc_seg: 84.7765, loss: 0.4243 2023-11-13 19:03:48,311 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-11-13 19:03:50,966 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:03:50,967 - mmseg - INFO - Iter [48000/160000] lr: 4.200e-05, eta: 7:38:24, time: 0.336, data_time: 0.048, memory: 5958, decode.loss_ce: 0.2708, decode.acc_seg: 89.0449, aux.loss_ce: 0.1499, aux.acc_seg: 85.7350, loss: 0.4207 2023-11-13 19:04:05,003 - mmseg - INFO - per class results: 2023-11-13 19:04:05,012 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.39 | 87.57 | | building | 82.37 | 91.02 | | sky | 94.49 | 97.29 | | floor | 81.11 | 90.29 | | tree | 73.81 | 88.76 | | ceiling | 84.25 | 90.39 | | road | 83.44 | 91.55 | | bed | 89.03 | 96.51 | | windowpane | 63.61 | 76.08 | | grass | 63.88 | 75.67 | | cabinet | 58.46 | 73.35 | | sidewalk | 67.19 | 79.43 | | person | 80.96 | 93.18 | | earth | 37.94 | 51.09 | | door | 52.54 | 69.77 | | table | 59.13 | 77.09 | | mountain | 61.61 | 77.15 | | plant | 49.74 | 59.97 | | curtain | 72.82 | 86.81 | | chair | 58.2 | 70.67 | | car | 85.75 | 92.72 | | water | 55.46 | 70.58 | | painting | 68.06 | 88.81 | | sofa | 67.29 | 88.22 | | shelf | 40.55 | 55.25 | | house | 51.24 | 75.82 | | sea | 58.81 | 81.44 | | mirror | 70.18 | 80.17 | | rug | 61.74 | 76.5 | | field | 26.03 | 40.95 | | armchair | 41.97 | 56.38 | | seat | 63.62 | 80.91 | | fence | 45.7 | 60.53 | | desk | 52.55 | 72.05 | | rock | 49.74 | 77.08 | | wardrobe | 46.0 | 62.83 | | lamp | 62.93 | 78.58 | | bathtub | 78.47 | 84.97 | | railing | 38.28 | 55.32 | | cushion | 53.58 | 61.88 | | base | 25.17 | 44.67 | | box | 26.62 | 35.6 | | column | 49.34 | 61.67 | | signboard | 37.34 | 50.22 | | chest of drawers | 36.95 | 52.1 | | counter | 32.26 | 47.38 | | sand | 50.33 | 81.18 | | sink | 73.5 | 79.41 | | skyscraper | 55.48 | 73.14 | | fireplace | 70.99 | 90.75 | | refrigerator | 73.75 | 87.5 | | grandstand | 54.05 | 77.97 | | path | 20.46 | 31.29 | | stairs | 36.34 | 49.54 | | runway | 61.76 | 82.95 | | case | 44.3 | 60.99 | | pool table | 93.11 | 96.78 | | pillow | 56.89 | 67.48 | | screen door | 67.2 | 87.63 | | stairway | 29.03 | 32.81 | | river | 8.68 | 13.22 | | bridge | 71.1 | 83.95 | | bookcase | 32.92 | 54.61 | | blind | 46.86 | 56.23 | | coffee table | 55.65 | 85.24 | | toilet | 83.76 | 89.38 | | flower | 41.25 | 60.25 | | book | 49.77 | 72.65 | | hill | 9.54 | 14.41 | | bench | 52.5 | 64.34 | | countertop | 52.61 | 70.54 | | stove | 75.61 | 82.91 | | palm | 50.99 | 69.1 | | kitchen island | 32.45 | 59.7 | | computer | 63.89 | 70.84 | | swivel chair | 48.02 | 65.83 | | boat | 42.03 | 51.94 | | bar | 41.24 | 55.7 | | arcade machine | 76.04 | 82.72 | | hovel | 38.14 | 42.35 | | bus | 92.51 | 96.57 | | towel | 61.03 | 75.23 | | light | 50.05 | 55.74 | | truck | 39.41 | 50.66 | | tower | 27.45 | 50.83 | | chandelier | 66.73 | 86.53 | | awning | 30.34 | 34.03 | | streetlight | 25.78 | 33.99 | | booth | 41.94 | 47.11 | | television receiver | 68.77 | 76.79 | | airplane | 59.46 | 67.16 | | dirt track | 11.01 | 24.03 | | apparel | 42.78 | 61.3 | | pole | 21.18 | 27.55 | | land | 3.18 | 7.65 | | bannister | 15.42 | 21.12 | | escalator | 36.65 | 51.36 | | ottoman | 48.73 | 65.56 | | bottle | 33.97 | 47.1 | | buffet | 27.86 | 33.28 | | poster | 26.85 | 33.04 | | stage | 19.9 | 29.95 | | van | 45.76 | 55.79 | | ship | 4.87 | 7.16 | | fountain | 26.27 | 27.12 | | conveyer belt | 56.67 | 89.11 | | canopy | 26.77 | 44.39 | | washer | 73.46 | 75.72 | | plaything | 22.1 | 26.32 | | swimming pool | 57.73 | 87.63 | | stool | 39.05 | 52.8 | | barrel | 53.14 | 72.65 | | basket | 35.28 | 46.92 | | waterfall | 48.52 | 67.01 | | tent | 88.39 | 97.77 | | bag | 14.36 | 16.39 | | minibike | 69.95 | 79.61 | | cradle | 80.17 | 92.18 | | oven | 52.88 | 66.94 | | ball | 25.51 | 27.04 | | food | 59.18 | 67.03 | | step | 17.98 | 24.02 | | tank | 53.07 | 65.77 | | trade name | 23.03 | 25.02 | | microwave | 84.28 | 95.15 | | pot | 43.28 | 51.2 | | animal | 67.18 | 71.19 | | bicycle | 57.92 | 73.42 | | lake | 62.48 | 88.88 | | dishwasher | 74.03 | 81.47 | | screen | 46.47 | 71.39 | | blanket | 13.74 | 16.4 | | sculpture | 60.39 | 77.95 | | hood | 55.87 | 61.22 | | sconce | 46.72 | 57.74 | | vase | 38.4 | 57.3 | | traffic light | 32.3 | 54.07 | | tray | 3.35 | 5.09 | | ashcan | 43.74 | 56.71 | | fan | 59.72 | 79.09 | | pier | 33.79 | 42.79 | | crt screen | 4.1 | 9.4 | | plate | 51.57 | 63.35 | | monitor | 37.67 | 48.39 | | bulletin board | 54.96 | 70.88 | | shower | 0.0 | 0.0 | | radiator | 49.48 | 55.61 | | glass | 12.63 | 13.37 | | clock | 35.8 | 43.68 | | flag | 46.46 | 50.11 | +---------------------+-------+-------+ 2023-11-13 19:04:05,012 - mmseg - INFO - Summary: 2023-11-13 19:04:05,012 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.05 | 49.46 | 61.92 | +-------+-------+-------+ 2023-11-13 19:04:05,066 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/upernet_flash_internimage_s_512_160k_ade20k/best_mIoU_iter_32000.pth was removed 2023-11-13 19:04:07,502 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2023-11-13 19:04:07,503 - mmseg - INFO - Best mIoU is 0.4946 at 48000 iter. 2023-11-13 19:04:07,503 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:04:07,504 - mmseg - INFO - Iter(val) [250] aAcc: 0.8305, mIoU: 0.4946, mAcc: 0.6192, IoU.wall: 0.7739, IoU.building: 0.8237, IoU.sky: 0.9449, IoU.floor: 0.8111, IoU.tree: 0.7381, IoU.ceiling: 0.8425, IoU.road: 0.8344, IoU.bed : 0.8903, IoU.windowpane: 0.6361, IoU.grass: 0.6388, IoU.cabinet: 0.5846, IoU.sidewalk: 0.6719, IoU.person: 0.8096, IoU.earth: 0.3794, IoU.door: 0.5254, IoU.table: 0.5913, IoU.mountain: 0.6161, IoU.plant: 0.4974, IoU.curtain: 0.7282, IoU.chair: 0.5820, IoU.car: 0.8575, IoU.water: 0.5546, IoU.painting: 0.6806, IoU.sofa: 0.6729, IoU.shelf: 0.4055, IoU.house: 0.5124, IoU.sea: 0.5881, IoU.mirror: 0.7018, IoU.rug: 0.6174, IoU.field: 0.2603, IoU.armchair: 0.4197, IoU.seat: 0.6362, IoU.fence: 0.4570, IoU.desk: 0.5255, IoU.rock: 0.4974, IoU.wardrobe: 0.4600, IoU.lamp: 0.6293, IoU.bathtub: 0.7847, IoU.railing: 0.3828, IoU.cushion: 0.5358, IoU.base: 0.2517, IoU.box: 0.2662, IoU.column: 0.4934, IoU.signboard: 0.3734, IoU.chest of drawers: 0.3695, IoU.counter: 0.3226, IoU.sand: 0.5033, IoU.sink: 0.7350, IoU.skyscraper: 0.5548, IoU.fireplace: 0.7099, IoU.refrigerator: 0.7375, IoU.grandstand: 0.5405, IoU.path: 0.2046, IoU.stairs: 0.3634, IoU.runway: 0.6176, IoU.case: 0.4430, IoU.pool table: 0.9311, IoU.pillow: 0.5689, IoU.screen door: 0.6720, IoU.stairway: 0.2903, IoU.river: 0.0868, IoU.bridge: 0.7110, IoU.bookcase: 0.3292, IoU.blind: 0.4686, IoU.coffee table: 0.5565, IoU.toilet: 0.8376, IoU.flower: 0.4125, IoU.book: 0.4977, IoU.hill: 0.0954, IoU.bench: 0.5250, IoU.countertop: 0.5261, IoU.stove: 0.7561, IoU.palm: 0.5099, IoU.kitchen island: 0.3245, IoU.computer: 0.6389, IoU.swivel chair: 0.4802, IoU.boat: 0.4203, IoU.bar: 0.4124, IoU.arcade machine: 0.7604, IoU.hovel: 0.3814, IoU.bus: 0.9251, IoU.towel: 0.6103, IoU.light: 0.5005, IoU.truck: 0.3941, IoU.tower: 0.2745, IoU.chandelier: 0.6673, IoU.awning: 0.3034, IoU.streetlight: 0.2578, IoU.booth: 0.4194, IoU.television receiver: 0.6877, IoU.airplane: 0.5946, IoU.dirt track: 0.1101, IoU.apparel: 0.4278, IoU.pole: 0.2118, IoU.land: 0.0318, IoU.bannister: 0.1542, IoU.escalator: 0.3665, IoU.ottoman: 0.4873, IoU.bottle: 0.3397, IoU.buffet: 0.2786, IoU.poster: 0.2685, IoU.stage: 0.1990, IoU.van: 0.4576, IoU.ship: 0.0487, IoU.fountain: 0.2627, IoU.conveyer belt: 0.5667, IoU.canopy: 0.2677, IoU.washer: 0.7346, IoU.plaything: 0.2210, IoU.swimming pool: 0.5773, IoU.stool: 0.3905, IoU.barrel: 0.5314, IoU.basket: 0.3528, IoU.waterfall: 0.4852, IoU.tent: 0.8839, IoU.bag: 0.1436, IoU.minibike: 0.6995, IoU.cradle: 0.8017, IoU.oven: 0.5288, IoU.ball: 0.2551, IoU.food: 0.5918, IoU.step: 0.1798, IoU.tank: 0.5307, IoU.trade name: 0.2303, IoU.microwave: 0.8428, IoU.pot: 0.4328, IoU.animal: 0.6718, IoU.bicycle: 0.5792, IoU.lake: 0.6248, IoU.dishwasher: 0.7403, IoU.screen: 0.4647, IoU.blanket: 0.1374, IoU.sculpture: 0.6039, IoU.hood: 0.5587, IoU.sconce: 0.4672, IoU.vase: 0.3840, IoU.traffic light: 0.3230, IoU.tray: 0.0335, IoU.ashcan: 0.4374, IoU.fan: 0.5972, IoU.pier: 0.3379, IoU.crt screen: 0.0410, IoU.plate: 0.5157, IoU.monitor: 0.3767, IoU.bulletin board: 0.5496, IoU.shower: 0.0000, IoU.radiator: 0.4948, IoU.glass: 0.1263, IoU.clock: 0.3580, IoU.flag: 0.4646, Acc.wall: 0.8757, Acc.building: 0.9102, Acc.sky: 0.9729, Acc.floor: 0.9029, Acc.tree: 0.8876, Acc.ceiling: 0.9039, Acc.road: 0.9155, Acc.bed : 0.9651, Acc.windowpane: 0.7608, Acc.grass: 0.7567, Acc.cabinet: 0.7335, Acc.sidewalk: 0.7943, Acc.person: 0.9318, Acc.earth: 0.5109, Acc.door: 0.6977, Acc.table: 0.7709, Acc.mountain: 0.7715, Acc.plant: 0.5997, Acc.curtain: 0.8681, Acc.chair: 0.7067, Acc.car: 0.9272, Acc.water: 0.7058, Acc.painting: 0.8881, Acc.sofa: 0.8822, Acc.shelf: 0.5525, Acc.house: 0.7582, Acc.sea: 0.8144, Acc.mirror: 0.8017, Acc.rug: 0.7650, Acc.field: 0.4095, Acc.armchair: 0.5638, Acc.seat: 0.8091, Acc.fence: 0.6053, Acc.desk: 0.7205, Acc.rock: 0.7708, Acc.wardrobe: 0.6283, Acc.lamp: 0.7858, Acc.bathtub: 0.8497, Acc.railing: 0.5532, Acc.cushion: 0.6188, Acc.base: 0.4467, Acc.box: 0.3560, Acc.column: 0.6167, Acc.signboard: 0.5022, Acc.chest of drawers: 0.5210, Acc.counter: 0.4738, Acc.sand: 0.8118, Acc.sink: 0.7941, Acc.skyscraper: 0.7314, Acc.fireplace: 0.9075, Acc.refrigerator: 0.8750, Acc.grandstand: 0.7797, Acc.path: 0.3129, Acc.stairs: 0.4954, Acc.runway: 0.8295, Acc.case: 0.6099, Acc.pool table: 0.9678, Acc.pillow: 0.6748, Acc.screen door: 0.8763, Acc.stairway: 0.3281, Acc.river: 0.1322, Acc.bridge: 0.8395, Acc.bookcase: 0.5461, Acc.blind: 0.5623, Acc.coffee table: 0.8524, Acc.toilet: 0.8938, Acc.flower: 0.6025, Acc.book: 0.7265, Acc.hill: 0.1441, Acc.bench: 0.6434, Acc.countertop: 0.7054, Acc.stove: 0.8291, Acc.palm: 0.6910, Acc.kitchen island: 0.5970, Acc.computer: 0.7084, Acc.swivel chair: 0.6583, Acc.boat: 0.5194, Acc.bar: 0.5570, Acc.arcade machine: 0.8272, Acc.hovel: 0.4235, Acc.bus: 0.9657, Acc.towel: 0.7523, Acc.light: 0.5574, Acc.truck: 0.5066, Acc.tower: 0.5083, Acc.chandelier: 0.8653, Acc.awning: 0.3403, Acc.streetlight: 0.3399, Acc.booth: 0.4711, Acc.television receiver: 0.7679, Acc.airplane: 0.6716, Acc.dirt track: 0.2403, Acc.apparel: 0.6130, Acc.pole: 0.2755, Acc.land: 0.0765, Acc.bannister: 0.2112, Acc.escalator: 0.5136, Acc.ottoman: 0.6556, Acc.bottle: 0.4710, Acc.buffet: 0.3328, Acc.poster: 0.3304, Acc.stage: 0.2995, Acc.van: 0.5579, Acc.ship: 0.0716, Acc.fountain: 0.2712, Acc.conveyer belt: 0.8911, Acc.canopy: 0.4439, Acc.washer: 0.7572, Acc.plaything: 0.2632, Acc.swimming pool: 0.8763, Acc.stool: 0.5280, Acc.barrel: 0.7265, Acc.basket: 0.4692, Acc.waterfall: 0.6701, Acc.tent: 0.9777, Acc.bag: 0.1639, Acc.minibike: 0.7961, Acc.cradle: 0.9218, Acc.oven: 0.6694, Acc.ball: 0.2704, Acc.food: 0.6703, Acc.step: 0.2402, Acc.tank: 0.6577, Acc.trade name: 0.2502, Acc.microwave: 0.9515, Acc.pot: 0.5120, Acc.animal: 0.7119, Acc.bicycle: 0.7342, Acc.lake: 0.8888, Acc.dishwasher: 0.8147, Acc.screen: 0.7139, Acc.blanket: 0.1640, Acc.sculpture: 0.7795, Acc.hood: 0.6122, Acc.sconce: 0.5774, Acc.vase: 0.5730, Acc.traffic light: 0.5407, Acc.tray: 0.0509, Acc.ashcan: 0.5671, Acc.fan: 0.7909, Acc.pier: 0.4279, Acc.crt screen: 0.0940, Acc.plate: 0.6335, Acc.monitor: 0.4839, Acc.bulletin board: 0.7088, Acc.shower: 0.0000, Acc.radiator: 0.5561, Acc.glass: 0.1337, Acc.clock: 0.4368, Acc.flag: 0.5011 2023-11-13 19:04:19,871 - mmseg - INFO - Iter [48050/160000] lr: 4.198e-05, eta: 7:38:51, time: 0.577, data_time: 0.336, memory: 5958, decode.loss_ce: 0.2877, decode.acc_seg: 88.2245, aux.loss_ce: 0.1564, aux.acc_seg: 85.1374, loss: 0.4441 2023-11-13 19:04:32,359 - mmseg - INFO - Iter [48100/160000] lr: 4.196e-05, eta: 7:38:39, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2556, decode.acc_seg: 89.4767, aux.loss_ce: 0.1428, aux.acc_seg: 86.1829, loss: 0.3984 2023-11-13 19:04:44,087 - mmseg - INFO - Iter [48150/160000] lr: 4.194e-05, eta: 7:38:25, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2695, decode.acc_seg: 88.9670, aux.loss_ce: 0.1516, aux.acc_seg: 85.3075, loss: 0.4211 2023-11-13 19:04:55,900 - mmseg - INFO - Iter [48200/160000] lr: 4.193e-05, eta: 7:38:12, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2524, decode.acc_seg: 89.6860, aux.loss_ce: 0.1443, aux.acc_seg: 86.1607, loss: 0.3967 2023-11-13 19:05:07,546 - mmseg - INFO - Iter [48250/160000] lr: 4.191e-05, eta: 7:37:58, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2935, decode.acc_seg: 88.3816, aux.loss_ce: 0.1635, aux.acc_seg: 84.8019, loss: 0.4571 2023-11-13 19:05:19,199 - mmseg - INFO - Iter [48300/160000] lr: 4.189e-05, eta: 7:37:44, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2626, decode.acc_seg: 89.3807, aux.loss_ce: 0.1479, aux.acc_seg: 85.6564, loss: 0.4105 2023-11-13 19:05:30,898 - mmseg - INFO - Iter [48350/160000] lr: 4.187e-05, eta: 7:37:30, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2725, decode.acc_seg: 89.0952, aux.loss_ce: 0.1529, aux.acc_seg: 85.4372, loss: 0.4254 2023-11-13 19:05:42,590 - mmseg - INFO - Iter [48400/160000] lr: 4.185e-05, eta: 7:37:17, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2699, decode.acc_seg: 88.9256, aux.loss_ce: 0.1513, aux.acc_seg: 85.4352, loss: 0.4211 2023-11-13 19:05:54,212 - mmseg - INFO - Iter [48450/160000] lr: 4.183e-05, eta: 7:37:03, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2809, decode.acc_seg: 88.5921, aux.loss_ce: 0.1562, aux.acc_seg: 85.0515, loss: 0.4371 2023-11-13 19:06:06,034 - mmseg - INFO - Iter [48500/160000] lr: 4.181e-05, eta: 7:36:50, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2871, decode.acc_seg: 88.4527, aux.loss_ce: 0.1595, aux.acc_seg: 84.7654, loss: 0.4466 2023-11-13 19:06:17,860 - mmseg - INFO - Iter [48550/160000] lr: 4.179e-05, eta: 7:36:36, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2687, decode.acc_seg: 88.9933, aux.loss_ce: 0.1478, aux.acc_seg: 85.7753, loss: 0.4166 2023-11-13 19:06:29,506 - mmseg - INFO - Iter [48600/160000] lr: 4.178e-05, eta: 7:36:22, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2926, decode.acc_seg: 88.3385, aux.loss_ce: 0.1589, aux.acc_seg: 85.2652, loss: 0.4515 2023-11-13 19:06:41,194 - mmseg - INFO - Iter [48650/160000] lr: 4.176e-05, eta: 7:36:09, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2741, decode.acc_seg: 88.6629, aux.loss_ce: 0.1550, aux.acc_seg: 84.9295, loss: 0.4291 2023-11-13 19:06:52,859 - mmseg - INFO - Iter [48700/160000] lr: 4.174e-05, eta: 7:35:55, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2764, decode.acc_seg: 88.7930, aux.loss_ce: 0.1505, aux.acc_seg: 85.5324, loss: 0.4269 2023-11-13 19:07:04,572 - mmseg - INFO - Iter [48750/160000] lr: 4.172e-05, eta: 7:35:41, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2602, decode.acc_seg: 89.6469, aux.loss_ce: 0.1447, aux.acc_seg: 86.5083, loss: 0.4049 2023-11-13 19:07:16,973 - mmseg - INFO - Iter [48800/160000] lr: 4.170e-05, eta: 7:35:29, time: 0.248, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2741, decode.acc_seg: 88.8712, aux.loss_ce: 0.1504, aux.acc_seg: 85.7114, loss: 0.4246 2023-11-13 19:07:29,888 - mmseg - INFO - Iter [48850/160000] lr: 4.168e-05, eta: 7:35:18, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2765, decode.acc_seg: 88.8101, aux.loss_ce: 0.1550, aux.acc_seg: 85.2114, loss: 0.4316 2023-11-13 19:07:41,567 - mmseg - INFO - Iter [48900/160000] lr: 4.166e-05, eta: 7:35:05, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2757, decode.acc_seg: 88.9997, aux.loss_ce: 0.1520, aux.acc_seg: 85.8963, loss: 0.4276 2023-11-13 19:07:53,234 - mmseg - INFO - Iter [48950/160000] lr: 4.164e-05, eta: 7:34:51, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2667, decode.acc_seg: 89.2277, aux.loss_ce: 0.1515, aux.acc_seg: 85.3548, loss: 0.4182 2023-11-13 19:08:04,884 - mmseg - INFO - Saving checkpoint at 49000 iterations 2023-11-13 19:08:07,407 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:08:07,407 - mmseg - INFO - Iter [49000/160000] lr: 4.163e-05, eta: 7:34:43, time: 0.283, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2595, decode.acc_seg: 89.0730, aux.loss_ce: 0.1450, aux.acc_seg: 85.5264, loss: 0.4045 2023-11-13 19:08:19,217 - mmseg - INFO - Iter [49050/160000] lr: 4.161e-05, eta: 7:34:30, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2723, decode.acc_seg: 88.8987, aux.loss_ce: 0.1533, aux.acc_seg: 85.4777, loss: 0.4255 2023-11-13 19:08:31,531 - mmseg - INFO - Iter [49100/160000] lr: 4.159e-05, eta: 7:34:17, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2689, decode.acc_seg: 89.1546, aux.loss_ce: 0.1466, aux.acc_seg: 85.9988, loss: 0.4154 2023-11-13 19:08:43,392 - mmseg - INFO - Iter [49150/160000] lr: 4.157e-05, eta: 7:34:04, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2698, decode.acc_seg: 89.0397, aux.loss_ce: 0.1500, aux.acc_seg: 85.6366, loss: 0.4198 2023-11-13 19:08:55,132 - mmseg - INFO - Iter [49200/160000] lr: 4.155e-05, eta: 7:33:51, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2920, decode.acc_seg: 88.2227, aux.loss_ce: 0.1583, aux.acc_seg: 84.8994, loss: 0.4503 2023-11-13 19:09:08,012 - mmseg - INFO - Iter [49250/160000] lr: 4.153e-05, eta: 7:33:40, time: 0.258, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2808, decode.acc_seg: 88.7416, aux.loss_ce: 0.1590, aux.acc_seg: 84.8799, loss: 0.4398 2023-11-13 19:09:21,950 - mmseg - INFO - Iter [49300/160000] lr: 4.151e-05, eta: 7:33:31, time: 0.279, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2634, decode.acc_seg: 89.0769, aux.loss_ce: 0.1514, aux.acc_seg: 85.2015, loss: 0.4148 2023-11-13 19:09:34,400 - mmseg - INFO - Iter [49350/160000] lr: 4.149e-05, eta: 7:33:19, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2704, decode.acc_seg: 89.0733, aux.loss_ce: 0.1493, aux.acc_seg: 85.6676, loss: 0.4197 2023-11-13 19:09:46,917 - mmseg - INFO - Iter [49400/160000] lr: 4.148e-05, eta: 7:33:07, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2576, decode.acc_seg: 89.4996, aux.loss_ce: 0.1428, aux.acc_seg: 86.2561, loss: 0.4004 2023-11-13 19:10:00,046 - mmseg - INFO - Iter [49450/160000] lr: 4.146e-05, eta: 7:32:57, time: 0.263, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2633, decode.acc_seg: 88.9662, aux.loss_ce: 0.1440, aux.acc_seg: 85.9801, loss: 0.4072 2023-11-13 19:10:12,451 - mmseg - INFO - Iter [49500/160000] lr: 4.144e-05, eta: 7:32:45, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2741, decode.acc_seg: 89.1339, aux.loss_ce: 0.1555, aux.acc_seg: 85.1005, loss: 0.4296 2023-11-13 19:10:25,427 - mmseg - INFO - Iter [49550/160000] lr: 4.142e-05, eta: 7:32:34, time: 0.260, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2611, decode.acc_seg: 89.3688, aux.loss_ce: 0.1482, aux.acc_seg: 85.8388, loss: 0.4093 2023-11-13 19:10:37,110 - mmseg - INFO - Iter [49600/160000] lr: 4.140e-05, eta: 7:32:21, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2718, decode.acc_seg: 88.7961, aux.loss_ce: 0.1568, aux.acc_seg: 85.0831, loss: 0.4286 2023-11-13 19:10:48,771 - mmseg - INFO - Iter [49650/160000] lr: 4.138e-05, eta: 7:32:07, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2664, decode.acc_seg: 89.1982, aux.loss_ce: 0.1476, aux.acc_seg: 85.8846, loss: 0.4141 2023-11-13 19:11:00,397 - mmseg - INFO - Iter [49700/160000] lr: 4.136e-05, eta: 7:31:53, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2711, decode.acc_seg: 89.1766, aux.loss_ce: 0.1484, aux.acc_seg: 86.0916, loss: 0.4196 2023-11-13 19:11:12,061 - mmseg - INFO - Iter [49750/160000] lr: 4.134e-05, eta: 7:31:39, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2535, decode.acc_seg: 89.7571, aux.loss_ce: 0.1445, aux.acc_seg: 86.2787, loss: 0.3980 2023-11-13 19:11:23,974 - mmseg - INFO - Iter [49800/160000] lr: 4.133e-05, eta: 7:31:26, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2706, decode.acc_seg: 89.0537, aux.loss_ce: 0.1544, aux.acc_seg: 85.2650, loss: 0.4250 2023-11-13 19:11:35,858 - mmseg - INFO - Iter [49850/160000] lr: 4.131e-05, eta: 7:31:13, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2808, decode.acc_seg: 88.6239, aux.loss_ce: 0.1551, aux.acc_seg: 85.3299, loss: 0.4359 2023-11-13 19:11:47,742 - mmseg - INFO - Iter [49900/160000] lr: 4.129e-05, eta: 7:31:00, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2635, decode.acc_seg: 89.1125, aux.loss_ce: 0.1471, aux.acc_seg: 85.7330, loss: 0.4106 2023-11-13 19:11:59,637 - mmseg - INFO - Iter [49950/160000] lr: 4.127e-05, eta: 7:30:47, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2704, decode.acc_seg: 89.1996, aux.loss_ce: 0.1520, aux.acc_seg: 86.0858, loss: 0.4224 2023-11-13 19:12:12,387 - mmseg - INFO - Saving checkpoint at 50000 iterations 2023-11-13 19:12:15,087 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:12:15,087 - mmseg - INFO - Iter [50000/160000] lr: 4.125e-05, eta: 7:30:41, time: 0.309, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2803, decode.acc_seg: 88.5117, aux.loss_ce: 0.1559, aux.acc_seg: 85.2401, loss: 0.4362 2023-11-13 19:12:27,568 - mmseg - INFO - Iter [50050/160000] lr: 4.123e-05, eta: 7:30:30, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2610, decode.acc_seg: 89.2448, aux.loss_ce: 0.1441, aux.acc_seg: 86.1815, loss: 0.4052 2023-11-13 19:12:39,326 - mmseg - INFO - Iter [50100/160000] lr: 4.121e-05, eta: 7:30:16, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2580, decode.acc_seg: 89.4609, aux.loss_ce: 0.1470, aux.acc_seg: 85.7622, loss: 0.4050 2023-11-13 19:12:50,943 - mmseg - INFO - Iter [50150/160000] lr: 4.119e-05, eta: 7:30:02, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2762, decode.acc_seg: 88.8815, aux.loss_ce: 0.1500, aux.acc_seg: 85.7261, loss: 0.4262 2023-11-13 19:13:02,522 - mmseg - INFO - Iter [50200/160000] lr: 4.118e-05, eta: 7:29:48, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2556, decode.acc_seg: 89.6266, aux.loss_ce: 0.1406, aux.acc_seg: 86.4659, loss: 0.3962 2023-11-13 19:13:14,857 - mmseg - INFO - Iter [50250/160000] lr: 4.116e-05, eta: 7:29:36, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2806, decode.acc_seg: 88.8343, aux.loss_ce: 0.1526, aux.acc_seg: 85.5563, loss: 0.4332 2023-11-13 19:13:26,454 - mmseg - INFO - Iter [50300/160000] lr: 4.114e-05, eta: 7:29:22, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2773, decode.acc_seg: 88.8592, aux.loss_ce: 0.1556, aux.acc_seg: 85.1509, loss: 0.4328 2023-11-13 19:13:38,439 - mmseg - INFO - Iter [50350/160000] lr: 4.112e-05, eta: 7:29:09, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2681, decode.acc_seg: 89.3763, aux.loss_ce: 0.1507, aux.acc_seg: 85.8018, loss: 0.4188 2023-11-13 19:13:50,875 - mmseg - INFO - Iter [50400/160000] lr: 4.110e-05, eta: 7:28:58, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2595, decode.acc_seg: 89.5083, aux.loss_ce: 0.1466, aux.acc_seg: 86.1200, loss: 0.4061 2023-11-13 19:14:02,678 - mmseg - INFO - Iter [50450/160000] lr: 4.108e-05, eta: 7:28:44, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2699, decode.acc_seg: 88.9629, aux.loss_ce: 0.1461, aux.acc_seg: 85.7666, loss: 0.4160 2023-11-13 19:14:14,327 - mmseg - INFO - Iter [50500/160000] lr: 4.106e-05, eta: 7:28:31, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2782, decode.acc_seg: 88.8472, aux.loss_ce: 0.1595, aux.acc_seg: 85.0674, loss: 0.4377 2023-11-13 19:14:28,920 - mmseg - INFO - Iter [50550/160000] lr: 4.104e-05, eta: 7:28:23, time: 0.292, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2670, decode.acc_seg: 88.9245, aux.loss_ce: 0.1536, aux.acc_seg: 85.1373, loss: 0.4207 2023-11-13 19:14:41,170 - mmseg - INFO - Iter [50600/160000] lr: 4.103e-05, eta: 7:28:11, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2721, decode.acc_seg: 88.9328, aux.loss_ce: 0.1523, aux.acc_seg: 85.4234, loss: 0.4245 2023-11-13 19:14:52,873 - mmseg - INFO - Iter [50650/160000] lr: 4.101e-05, eta: 7:27:57, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2677, decode.acc_seg: 89.0962, aux.loss_ce: 0.1480, aux.acc_seg: 85.7290, loss: 0.4157 2023-11-13 19:15:04,543 - mmseg - INFO - Iter [50700/160000] lr: 4.099e-05, eta: 7:27:44, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2516, decode.acc_seg: 89.7122, aux.loss_ce: 0.1429, aux.acc_seg: 86.3023, loss: 0.3945 2023-11-13 19:15:16,268 - mmseg - INFO - Iter [50750/160000] lr: 4.097e-05, eta: 7:27:30, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2625, decode.acc_seg: 89.0266, aux.loss_ce: 0.1466, aux.acc_seg: 85.4879, loss: 0.4091 2023-11-13 19:15:29,871 - mmseg - INFO - Iter [50800/160000] lr: 4.095e-05, eta: 7:27:21, time: 0.272, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2756, decode.acc_seg: 88.6416, aux.loss_ce: 0.1541, aux.acc_seg: 85.1275, loss: 0.4296 2023-11-13 19:15:41,615 - mmseg - INFO - Iter [50850/160000] lr: 4.093e-05, eta: 7:27:07, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2778, decode.acc_seg: 88.5442, aux.loss_ce: 0.1513, aux.acc_seg: 85.3568, loss: 0.4291 2023-11-13 19:15:53,301 - mmseg - INFO - Iter [50900/160000] lr: 4.091e-05, eta: 7:26:54, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2514, decode.acc_seg: 89.6113, aux.loss_ce: 0.1401, aux.acc_seg: 86.5891, loss: 0.3914 2023-11-13 19:16:04,903 - mmseg - INFO - Iter [50950/160000] lr: 4.089e-05, eta: 7:26:40, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2558, decode.acc_seg: 89.4482, aux.loss_ce: 0.1421, aux.acc_seg: 86.4787, loss: 0.3979 2023-11-13 19:16:16,601 - mmseg - INFO - Saving checkpoint at 51000 iterations 2023-11-13 19:16:19,112 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:16:19,112 - mmseg - INFO - Iter [51000/160000] lr: 4.088e-05, eta: 7:26:32, time: 0.284, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2714, decode.acc_seg: 89.3140, aux.loss_ce: 0.1497, aux.acc_seg: 85.9817, loss: 0.4211 2023-11-13 19:16:31,329 - mmseg - INFO - Iter [51050/160000] lr: 4.086e-05, eta: 7:26:19, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2648, decode.acc_seg: 89.3039, aux.loss_ce: 0.1472, aux.acc_seg: 85.9721, loss: 0.4120 2023-11-13 19:16:43,248 - mmseg - INFO - Iter [51100/160000] lr: 4.084e-05, eta: 7:26:06, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2569, decode.acc_seg: 89.5962, aux.loss_ce: 0.1434, aux.acc_seg: 86.3316, loss: 0.4003 2023-11-13 19:16:56,068 - mmseg - INFO - Iter [51150/160000] lr: 4.082e-05, eta: 7:25:55, time: 0.256, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2690, decode.acc_seg: 89.2752, aux.loss_ce: 0.1544, aux.acc_seg: 85.2300, loss: 0.4234 2023-11-13 19:17:07,742 - mmseg - INFO - Iter [51200/160000] lr: 4.080e-05, eta: 7:25:41, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2674, decode.acc_seg: 89.0930, aux.loss_ce: 0.1514, aux.acc_seg: 85.3252, loss: 0.4188 2023-11-13 19:17:19,420 - mmseg - INFO - Iter [51250/160000] lr: 4.078e-05, eta: 7:25:28, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2699, decode.acc_seg: 89.2596, aux.loss_ce: 0.1505, aux.acc_seg: 85.6165, loss: 0.4204 2023-11-13 19:17:31,143 - mmseg - INFO - Iter [51300/160000] lr: 4.076e-05, eta: 7:25:14, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2561, decode.acc_seg: 89.5760, aux.loss_ce: 0.1454, aux.acc_seg: 86.1496, loss: 0.4015 2023-11-13 19:17:42,840 - mmseg - INFO - Iter [51350/160000] lr: 4.074e-05, eta: 7:25:01, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2911, decode.acc_seg: 88.2887, aux.loss_ce: 0.1621, aux.acc_seg: 84.7952, loss: 0.4533 2023-11-13 19:17:54,847 - mmseg - INFO - Iter [51400/160000] lr: 4.073e-05, eta: 7:24:48, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2940, decode.acc_seg: 87.8925, aux.loss_ce: 0.1596, aux.acc_seg: 84.7671, loss: 0.4536 2023-11-13 19:18:06,623 - mmseg - INFO - Iter [51450/160000] lr: 4.071e-05, eta: 7:24:35, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2713, decode.acc_seg: 88.8685, aux.loss_ce: 0.1523, aux.acc_seg: 85.4355, loss: 0.4235 2023-11-13 19:18:18,293 - mmseg - INFO - Iter [51500/160000] lr: 4.069e-05, eta: 7:24:21, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2811, decode.acc_seg: 88.7769, aux.loss_ce: 0.1529, aux.acc_seg: 85.6796, loss: 0.4339 2023-11-13 19:18:30,135 - mmseg - INFO - Iter [51550/160000] lr: 4.067e-05, eta: 7:24:08, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2721, decode.acc_seg: 88.9774, aux.loss_ce: 0.1482, aux.acc_seg: 85.6192, loss: 0.4203 2023-11-13 19:18:41,837 - mmseg - INFO - Iter [51600/160000] lr: 4.065e-05, eta: 7:23:54, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2772, decode.acc_seg: 88.5244, aux.loss_ce: 0.1508, aux.acc_seg: 85.1826, loss: 0.4281 2023-11-13 19:18:54,058 - mmseg - INFO - Iter [51650/160000] lr: 4.063e-05, eta: 7:23:42, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2583, decode.acc_seg: 89.3836, aux.loss_ce: 0.1492, aux.acc_seg: 85.6596, loss: 0.4074 2023-11-13 19:19:05,749 - mmseg - INFO - Iter [51700/160000] lr: 4.061e-05, eta: 7:23:28, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2479, decode.acc_seg: 89.2800, aux.loss_ce: 0.1364, aux.acc_seg: 86.4124, loss: 0.3843 2023-11-13 19:19:17,402 - mmseg - INFO - Iter [51750/160000] lr: 4.059e-05, eta: 7:23:15, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2604, decode.acc_seg: 89.3718, aux.loss_ce: 0.1467, aux.acc_seg: 85.9176, loss: 0.4071 2023-11-13 19:19:31,590 - mmseg - INFO - Iter [51800/160000] lr: 4.058e-05, eta: 7:23:06, time: 0.284, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2626, decode.acc_seg: 89.3719, aux.loss_ce: 0.1503, aux.acc_seg: 85.8003, loss: 0.4129 2023-11-13 19:19:43,771 - mmseg - INFO - Iter [51850/160000] lr: 4.056e-05, eta: 7:22:54, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2533, decode.acc_seg: 89.5318, aux.loss_ce: 0.1424, aux.acc_seg: 85.9901, loss: 0.3958 2023-11-13 19:19:55,632 - mmseg - INFO - Iter [51900/160000] lr: 4.054e-05, eta: 7:22:41, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2599, decode.acc_seg: 89.2023, aux.loss_ce: 0.1457, aux.acc_seg: 85.9636, loss: 0.4056 2023-11-13 19:20:07,264 - mmseg - INFO - Iter [51950/160000] lr: 4.052e-05, eta: 7:22:27, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2528, decode.acc_seg: 89.8117, aux.loss_ce: 0.1447, aux.acc_seg: 86.3048, loss: 0.3975 2023-11-13 19:20:19,309 - mmseg - INFO - Saving checkpoint at 52000 iterations 2023-11-13 19:20:21,811 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:20:21,811 - mmseg - INFO - Iter [52000/160000] lr: 4.050e-05, eta: 7:22:19, time: 0.291, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2661, decode.acc_seg: 89.3008, aux.loss_ce: 0.1456, aux.acc_seg: 85.9665, loss: 0.4116 2023-11-13 19:20:33,437 - mmseg - INFO - Iter [52050/160000] lr: 4.048e-05, eta: 7:22:06, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2630, decode.acc_seg: 89.3745, aux.loss_ce: 0.1447, aux.acc_seg: 86.0480, loss: 0.4077 2023-11-13 19:20:45,216 - mmseg - INFO - Iter [52100/160000] lr: 4.046e-05, eta: 7:21:52, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2834, decode.acc_seg: 88.7982, aux.loss_ce: 0.1542, aux.acc_seg: 85.2904, loss: 0.4377 2023-11-13 19:20:57,226 - mmseg - INFO - Iter [52150/160000] lr: 4.044e-05, eta: 7:21:40, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2684, decode.acc_seg: 89.3290, aux.loss_ce: 0.1484, aux.acc_seg: 85.8315, loss: 0.4168 2023-11-13 19:21:08,955 - mmseg - INFO - Iter [52200/160000] lr: 4.043e-05, eta: 7:21:26, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2568, decode.acc_seg: 89.3946, aux.loss_ce: 0.1428, aux.acc_seg: 85.9086, loss: 0.3996 2023-11-13 19:21:20,655 - mmseg - INFO - Iter [52250/160000] lr: 4.041e-05, eta: 7:21:13, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2581, decode.acc_seg: 89.3921, aux.loss_ce: 0.1461, aux.acc_seg: 85.7053, loss: 0.4043 2023-11-13 19:21:32,944 - mmseg - INFO - Iter [52300/160000] lr: 4.039e-05, eta: 7:21:00, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2648, decode.acc_seg: 89.2724, aux.loss_ce: 0.1467, aux.acc_seg: 86.0576, loss: 0.4115 2023-11-13 19:21:44,650 - mmseg - INFO - Iter [52350/160000] lr: 4.037e-05, eta: 7:20:47, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2558, decode.acc_seg: 89.5115, aux.loss_ce: 0.1433, aux.acc_seg: 86.1303, loss: 0.3991 2023-11-13 19:21:57,802 - mmseg - INFO - Iter [52400/160000] lr: 4.035e-05, eta: 7:20:36, time: 0.263, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2659, decode.acc_seg: 89.5033, aux.loss_ce: 0.1488, aux.acc_seg: 86.3332, loss: 0.4147 2023-11-13 19:22:10,372 - mmseg - INFO - Iter [52450/160000] lr: 4.033e-05, eta: 7:20:25, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2756, decode.acc_seg: 89.1871, aux.loss_ce: 0.1554, aux.acc_seg: 85.2492, loss: 0.4310 2023-11-13 19:22:22,397 - mmseg - INFO - Iter [52500/160000] lr: 4.031e-05, eta: 7:20:12, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2575, decode.acc_seg: 89.3974, aux.loss_ce: 0.1424, aux.acc_seg: 86.2525, loss: 0.3999 2023-11-13 19:22:34,381 - mmseg - INFO - Iter [52550/160000] lr: 4.029e-05, eta: 7:19:59, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2745, decode.acc_seg: 88.8327, aux.loss_ce: 0.1559, aux.acc_seg: 84.9476, loss: 0.4304 2023-11-13 19:22:46,277 - mmseg - INFO - Iter [52600/160000] lr: 4.028e-05, eta: 7:19:46, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2565, decode.acc_seg: 89.4638, aux.loss_ce: 0.1454, aux.acc_seg: 85.9662, loss: 0.4019 2023-11-13 19:22:58,063 - mmseg - INFO - Iter [52650/160000] lr: 4.026e-05, eta: 7:19:33, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2622, decode.acc_seg: 89.1284, aux.loss_ce: 0.1447, aux.acc_seg: 85.9385, loss: 0.4069 2023-11-13 19:23:09,644 - mmseg - INFO - Iter [52700/160000] lr: 4.024e-05, eta: 7:19:19, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2592, decode.acc_seg: 89.2744, aux.loss_ce: 0.1441, aux.acc_seg: 86.0320, loss: 0.4032 2023-11-13 19:23:21,345 - mmseg - INFO - Iter [52750/160000] lr: 4.022e-05, eta: 7:19:05, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2699, decode.acc_seg: 88.9949, aux.loss_ce: 0.1474, aux.acc_seg: 85.9211, loss: 0.4174 2023-11-13 19:23:32,999 - mmseg - INFO - Iter [52800/160000] lr: 4.020e-05, eta: 7:18:52, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2518, decode.acc_seg: 89.4706, aux.loss_ce: 0.1374, aux.acc_seg: 86.3562, loss: 0.3891 2023-11-13 19:23:44,635 - mmseg - INFO - Iter [52850/160000] lr: 4.018e-05, eta: 7:18:38, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2600, decode.acc_seg: 89.0968, aux.loss_ce: 0.1459, aux.acc_seg: 85.7885, loss: 0.4058 2023-11-13 19:23:56,431 - mmseg - INFO - Iter [52900/160000] lr: 4.016e-05, eta: 7:18:25, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2435, decode.acc_seg: 89.6815, aux.loss_ce: 0.1404, aux.acc_seg: 86.1707, loss: 0.3839 2023-11-13 19:24:08,309 - mmseg - INFO - Iter [52950/160000] lr: 4.014e-05, eta: 7:18:12, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2621, decode.acc_seg: 89.0936, aux.loss_ce: 0.1484, aux.acc_seg: 85.3314, loss: 0.4106 2023-11-13 19:24:20,764 - mmseg - INFO - Saving checkpoint at 53000 iterations 2023-11-13 19:24:23,295 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:24:23,295 - mmseg - INFO - Iter [53000/160000] lr: 4.013e-05, eta: 7:18:05, time: 0.300, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2609, decode.acc_seg: 89.3911, aux.loss_ce: 0.1490, aux.acc_seg: 85.5844, loss: 0.4099 2023-11-13 19:24:38,411 - mmseg - INFO - Iter [53050/160000] lr: 4.011e-05, eta: 7:17:59, time: 0.302, data_time: 0.058, memory: 5958, decode.loss_ce: 0.2685, decode.acc_seg: 89.1156, aux.loss_ce: 0.1470, aux.acc_seg: 86.1834, loss: 0.4155 2023-11-13 19:24:50,921 - mmseg - INFO - Iter [53100/160000] lr: 4.009e-05, eta: 7:17:47, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2476, decode.acc_seg: 89.9408, aux.loss_ce: 0.1425, aux.acc_seg: 86.3859, loss: 0.3901 2023-11-13 19:25:03,164 - mmseg - INFO - Iter [53150/160000] lr: 4.007e-05, eta: 7:17:34, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2636, decode.acc_seg: 89.0073, aux.loss_ce: 0.1490, aux.acc_seg: 85.6400, loss: 0.4126 2023-11-13 19:25:14,945 - mmseg - INFO - Iter [53200/160000] lr: 4.005e-05, eta: 7:17:21, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2577, decode.acc_seg: 89.6662, aux.loss_ce: 0.1486, aux.acc_seg: 85.7335, loss: 0.4063 2023-11-13 19:25:26,675 - mmseg - INFO - Iter [53250/160000] lr: 4.003e-05, eta: 7:17:08, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2431, decode.acc_seg: 89.8104, aux.loss_ce: 0.1393, aux.acc_seg: 85.9740, loss: 0.3823 2023-11-13 19:25:38,907 - mmseg - INFO - Iter [53300/160000] lr: 4.001e-05, eta: 7:16:55, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2498, decode.acc_seg: 89.7553, aux.loss_ce: 0.1458, aux.acc_seg: 85.9169, loss: 0.3955 2023-11-13 19:25:50,969 - mmseg - INFO - Iter [53350/160000] lr: 3.999e-05, eta: 7:16:42, time: 0.241, data_time: 0.008, memory: 5958, decode.loss_ce: 0.2464, decode.acc_seg: 89.7086, aux.loss_ce: 0.1391, aux.acc_seg: 86.3522, loss: 0.3855 2023-11-13 19:26:02,621 - mmseg - INFO - Iter [53400/160000] lr: 3.998e-05, eta: 7:16:29, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2542, decode.acc_seg: 89.3528, aux.loss_ce: 0.1448, aux.acc_seg: 85.6522, loss: 0.3991 2023-11-13 19:26:14,663 - mmseg - INFO - Iter [53450/160000] lr: 3.996e-05, eta: 7:16:16, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2512, decode.acc_seg: 89.7352, aux.loss_ce: 0.1434, aux.acc_seg: 86.5034, loss: 0.3946 2023-11-13 19:26:26,396 - mmseg - INFO - Iter [53500/160000] lr: 3.994e-05, eta: 7:16:03, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2579, decode.acc_seg: 89.3932, aux.loss_ce: 0.1426, aux.acc_seg: 86.4335, loss: 0.4005 2023-11-13 19:26:38,300 - mmseg - INFO - Iter [53550/160000] lr: 3.992e-05, eta: 7:15:50, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2693, decode.acc_seg: 88.9321, aux.loss_ce: 0.1506, aux.acc_seg: 85.6126, loss: 0.4199 2023-11-13 19:26:49,941 - mmseg - INFO - Iter [53600/160000] lr: 3.990e-05, eta: 7:15:36, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2703, decode.acc_seg: 89.1838, aux.loss_ce: 0.1544, aux.acc_seg: 85.4311, loss: 0.4247 2023-11-13 19:27:01,604 - mmseg - INFO - Iter [53650/160000] lr: 3.988e-05, eta: 7:15:23, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2576, decode.acc_seg: 89.5060, aux.loss_ce: 0.1455, aux.acc_seg: 86.2581, loss: 0.4031 2023-11-13 19:27:13,225 - mmseg - INFO - Iter [53700/160000] lr: 3.986e-05, eta: 7:15:09, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2562, decode.acc_seg: 89.6752, aux.loss_ce: 0.1432, aux.acc_seg: 86.3284, loss: 0.3995 2023-11-13 19:27:24,983 - mmseg - INFO - Iter [53750/160000] lr: 3.984e-05, eta: 7:14:56, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2771, decode.acc_seg: 88.8645, aux.loss_ce: 0.1580, aux.acc_seg: 85.0999, loss: 0.4351 2023-11-13 19:27:36,766 - mmseg - INFO - Iter [53800/160000] lr: 3.983e-05, eta: 7:14:43, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2569, decode.acc_seg: 89.6833, aux.loss_ce: 0.1466, aux.acc_seg: 86.1638, loss: 0.4035 2023-11-13 19:27:48,529 - mmseg - INFO - Iter [53850/160000] lr: 3.981e-05, eta: 7:14:29, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2597, decode.acc_seg: 89.3301, aux.loss_ce: 0.1488, aux.acc_seg: 85.8007, loss: 0.4085 2023-11-13 19:28:00,156 - mmseg - INFO - Iter [53900/160000] lr: 3.979e-05, eta: 7:14:16, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2527, decode.acc_seg: 89.4444, aux.loss_ce: 0.1405, aux.acc_seg: 86.3480, loss: 0.3932 2023-11-13 19:28:11,806 - mmseg - INFO - Iter [53950/160000] lr: 3.977e-05, eta: 7:14:02, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2487, decode.acc_seg: 89.6909, aux.loss_ce: 0.1453, aux.acc_seg: 86.1803, loss: 0.3939 2023-11-13 19:28:23,612 - mmseg - INFO - Saving checkpoint at 54000 iterations 2023-11-13 19:28:26,105 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:28:26,105 - mmseg - INFO - Iter [54000/160000] lr: 3.975e-05, eta: 7:13:54, time: 0.286, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2580, decode.acc_seg: 89.3931, aux.loss_ce: 0.1400, aux.acc_seg: 86.4900, loss: 0.3980 2023-11-13 19:28:37,964 - mmseg - INFO - Iter [54050/160000] lr: 3.973e-05, eta: 7:13:41, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2406, decode.acc_seg: 90.2075, aux.loss_ce: 0.1383, aux.acc_seg: 86.8226, loss: 0.3789 2023-11-13 19:28:49,815 - mmseg - INFO - Iter [54100/160000] lr: 3.971e-05, eta: 7:13:28, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2585, decode.acc_seg: 89.5186, aux.loss_ce: 0.1447, aux.acc_seg: 86.1614, loss: 0.4033 2023-11-13 19:29:01,987 - mmseg - INFO - Iter [54150/160000] lr: 3.969e-05, eta: 7:13:15, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2572, decode.acc_seg: 89.3376, aux.loss_ce: 0.1441, aux.acc_seg: 86.2683, loss: 0.4014 2023-11-13 19:29:14,092 - mmseg - INFO - Iter [54200/160000] lr: 3.968e-05, eta: 7:13:02, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2625, decode.acc_seg: 89.3981, aux.loss_ce: 0.1472, aux.acc_seg: 85.9966, loss: 0.4097 2023-11-13 19:29:27,236 - mmseg - INFO - Iter [54250/160000] lr: 3.966e-05, eta: 7:12:52, time: 0.264, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2729, decode.acc_seg: 88.9465, aux.loss_ce: 0.1472, aux.acc_seg: 85.9305, loss: 0.4201 2023-11-13 19:29:38,864 - mmseg - INFO - Iter [54300/160000] lr: 3.964e-05, eta: 7:12:38, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2579, decode.acc_seg: 89.2014, aux.loss_ce: 0.1417, aux.acc_seg: 86.1408, loss: 0.3997 2023-11-13 19:29:53,266 - mmseg - INFO - Iter [54350/160000] lr: 3.962e-05, eta: 7:12:30, time: 0.288, data_time: 0.058, memory: 5958, decode.loss_ce: 0.2701, decode.acc_seg: 88.6533, aux.loss_ce: 0.1500, aux.acc_seg: 85.0851, loss: 0.4201 2023-11-13 19:30:05,538 - mmseg - INFO - Iter [54400/160000] lr: 3.960e-05, eta: 7:12:18, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2394, decode.acc_seg: 90.1673, aux.loss_ce: 0.1387, aux.acc_seg: 86.5980, loss: 0.3781 2023-11-13 19:30:17,586 - mmseg - INFO - Iter [54450/160000] lr: 3.958e-05, eta: 7:12:05, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2492, decode.acc_seg: 90.0414, aux.loss_ce: 0.1363, aux.acc_seg: 87.0168, loss: 0.3854 2023-11-13 19:30:29,251 - mmseg - INFO - Iter [54500/160000] lr: 3.956e-05, eta: 7:11:52, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2490, decode.acc_seg: 89.7615, aux.loss_ce: 0.1398, aux.acc_seg: 86.4045, loss: 0.3888 2023-11-13 19:30:41,072 - mmseg - INFO - Iter [54550/160000] lr: 3.954e-05, eta: 7:11:39, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2409, decode.acc_seg: 90.0138, aux.loss_ce: 0.1324, aux.acc_seg: 86.9932, loss: 0.3732 2023-11-13 19:30:53,004 - mmseg - INFO - Iter [54600/160000] lr: 3.953e-05, eta: 7:11:26, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2498, decode.acc_seg: 89.6154, aux.loss_ce: 0.1398, aux.acc_seg: 86.8127, loss: 0.3896 2023-11-13 19:31:06,071 - mmseg - INFO - Iter [54650/160000] lr: 3.951e-05, eta: 7:11:15, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2675, decode.acc_seg: 89.0601, aux.loss_ce: 0.1471, aux.acc_seg: 86.1534, loss: 0.4146 2023-11-13 19:31:19,350 - mmseg - INFO - Iter [54700/160000] lr: 3.949e-05, eta: 7:11:04, time: 0.266, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2616, decode.acc_seg: 89.4351, aux.loss_ce: 0.1537, aux.acc_seg: 85.4218, loss: 0.4153 2023-11-13 19:31:31,933 - mmseg - INFO - Iter [54750/160000] lr: 3.947e-05, eta: 7:10:53, time: 0.252, data_time: 0.007, memory: 5958, decode.loss_ce: 0.2593, decode.acc_seg: 89.3624, aux.loss_ce: 0.1408, aux.acc_seg: 86.2997, loss: 0.4002 2023-11-13 19:31:43,698 - mmseg - INFO - Iter [54800/160000] lr: 3.945e-05, eta: 7:10:39, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2486, decode.acc_seg: 89.9269, aux.loss_ce: 0.1401, aux.acc_seg: 86.7214, loss: 0.3886 2023-11-13 19:31:55,375 - mmseg - INFO - Iter [54850/160000] lr: 3.943e-05, eta: 7:10:26, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2547, decode.acc_seg: 89.9803, aux.loss_ce: 0.1460, aux.acc_seg: 86.2846, loss: 0.4007 2023-11-13 19:32:07,112 - mmseg - INFO - Iter [54900/160000] lr: 3.941e-05, eta: 7:10:13, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2699, decode.acc_seg: 89.1969, aux.loss_ce: 0.1502, aux.acc_seg: 85.5972, loss: 0.4201 2023-11-13 19:32:18,785 - mmseg - INFO - Iter [54950/160000] lr: 3.939e-05, eta: 7:09:59, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2390, decode.acc_seg: 90.0730, aux.loss_ce: 0.1388, aux.acc_seg: 86.6461, loss: 0.3779 2023-11-13 19:32:31,708 - mmseg - INFO - Saving checkpoint at 55000 iterations 2023-11-13 19:32:34,258 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:32:34,258 - mmseg - INFO - Iter [55000/160000] lr: 3.938e-05, eta: 7:09:53, time: 0.309, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2538, decode.acc_seg: 89.5419, aux.loss_ce: 0.1434, aux.acc_seg: 86.0513, loss: 0.3972 2023-11-13 19:32:46,150 - mmseg - INFO - Iter [55050/160000] lr: 3.936e-05, eta: 7:09:40, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2525, decode.acc_seg: 89.8135, aux.loss_ce: 0.1410, aux.acc_seg: 86.4828, loss: 0.3934 2023-11-13 19:33:00,038 - mmseg - INFO - Iter [55100/160000] lr: 3.934e-05, eta: 7:09:31, time: 0.278, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2467, decode.acc_seg: 90.1808, aux.loss_ce: 0.1392, aux.acc_seg: 86.7454, loss: 0.3859 2023-11-13 19:33:11,828 - mmseg - INFO - Iter [55150/160000] lr: 3.932e-05, eta: 7:09:18, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2666, decode.acc_seg: 89.0788, aux.loss_ce: 0.1476, aux.acc_seg: 85.8388, loss: 0.4142 2023-11-13 19:33:23,515 - mmseg - INFO - Iter [55200/160000] lr: 3.930e-05, eta: 7:09:04, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2704, decode.acc_seg: 89.2885, aux.loss_ce: 0.1525, aux.acc_seg: 85.6544, loss: 0.4229 2023-11-13 19:33:36,076 - mmseg - INFO - Iter [55250/160000] lr: 3.928e-05, eta: 7:08:52, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2715, decode.acc_seg: 88.6335, aux.loss_ce: 0.1499, aux.acc_seg: 85.4424, loss: 0.4215 2023-11-13 19:33:47,773 - mmseg - INFO - Iter [55300/160000] lr: 3.926e-05, eta: 7:08:39, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2678, decode.acc_seg: 89.1533, aux.loss_ce: 0.1521, aux.acc_seg: 85.6927, loss: 0.4199 2023-11-13 19:33:59,795 - mmseg - INFO - Iter [55350/160000] lr: 3.924e-05, eta: 7:08:26, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2538, decode.acc_seg: 89.3358, aux.loss_ce: 0.1418, aux.acc_seg: 86.3019, loss: 0.3957 2023-11-13 19:34:12,415 - mmseg - INFO - Iter [55400/160000] lr: 3.923e-05, eta: 7:08:15, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2567, decode.acc_seg: 89.3487, aux.loss_ce: 0.1417, aux.acc_seg: 86.1841, loss: 0.3983 2023-11-13 19:34:24,251 - mmseg - INFO - Iter [55450/160000] lr: 3.921e-05, eta: 7:08:02, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2633, decode.acc_seg: 89.0800, aux.loss_ce: 0.1478, aux.acc_seg: 85.8244, loss: 0.4111 2023-11-13 19:34:36,352 - mmseg - INFO - Iter [55500/160000] lr: 3.919e-05, eta: 7:07:49, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2669, decode.acc_seg: 89.1305, aux.loss_ce: 0.1468, aux.acc_seg: 86.0318, loss: 0.4137 2023-11-13 19:34:48,148 - mmseg - INFO - Iter [55550/160000] lr: 3.917e-05, eta: 7:07:36, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2686, decode.acc_seg: 89.0984, aux.loss_ce: 0.1547, aux.acc_seg: 85.2547, loss: 0.4233 2023-11-13 19:35:02,326 - mmseg - INFO - Iter [55600/160000] lr: 3.915e-05, eta: 7:07:27, time: 0.284, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2430, decode.acc_seg: 90.1876, aux.loss_ce: 0.1382, aux.acc_seg: 86.9387, loss: 0.3812 2023-11-13 19:35:14,308 - mmseg - INFO - Iter [55650/160000] lr: 3.913e-05, eta: 7:07:14, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2557, decode.acc_seg: 89.5795, aux.loss_ce: 0.1455, aux.acc_seg: 85.9938, loss: 0.4012 2023-11-13 19:35:26,076 - mmseg - INFO - Iter [55700/160000] lr: 3.911e-05, eta: 7:07:01, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2420, decode.acc_seg: 90.0844, aux.loss_ce: 0.1379, aux.acc_seg: 86.5252, loss: 0.3798 2023-11-13 19:35:37,720 - mmseg - INFO - Iter [55750/160000] lr: 3.909e-05, eta: 7:06:47, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2472, decode.acc_seg: 89.7835, aux.loss_ce: 0.1429, aux.acc_seg: 85.9325, loss: 0.3901 2023-11-13 19:35:49,414 - mmseg - INFO - Iter [55800/160000] lr: 3.908e-05, eta: 7:06:34, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2523, decode.acc_seg: 89.7339, aux.loss_ce: 0.1441, aux.acc_seg: 86.1904, loss: 0.3964 2023-11-13 19:36:01,643 - mmseg - INFO - Iter [55850/160000] lr: 3.906e-05, eta: 7:06:22, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2704, decode.acc_seg: 88.8857, aux.loss_ce: 0.1517, aux.acc_seg: 85.4726, loss: 0.4221 2023-11-13 19:36:13,334 - mmseg - INFO - Iter [55900/160000] lr: 3.904e-05, eta: 7:06:08, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2358, decode.acc_seg: 90.4684, aux.loss_ce: 0.1357, aux.acc_seg: 87.1813, loss: 0.3715 2023-11-13 19:36:25,013 - mmseg - INFO - Iter [55950/160000] lr: 3.902e-05, eta: 7:05:55, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2589, decode.acc_seg: 89.6309, aux.loss_ce: 0.1486, aux.acc_seg: 86.0060, loss: 0.4075 2023-11-13 19:36:36,652 - mmseg - INFO - Saving checkpoint at 56000 iterations 2023-11-13 19:36:39,322 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:36:39,322 - mmseg - INFO - Iter [56000/160000] lr: 3.900e-05, eta: 7:05:46, time: 0.286, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2438, decode.acc_seg: 89.9423, aux.loss_ce: 0.1347, aux.acc_seg: 86.8876, loss: 0.3785 2023-11-13 19:36:51,064 - mmseg - INFO - Iter [56050/160000] lr: 3.898e-05, eta: 7:05:33, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2558, decode.acc_seg: 89.6106, aux.loss_ce: 0.1443, aux.acc_seg: 86.4266, loss: 0.4001 2023-11-13 19:37:02,671 - mmseg - INFO - Iter [56100/160000] lr: 3.896e-05, eta: 7:05:20, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2685, decode.acc_seg: 89.0208, aux.loss_ce: 0.1492, aux.acc_seg: 86.0883, loss: 0.4177 2023-11-13 19:37:14,848 - mmseg - INFO - Iter [56150/160000] lr: 3.894e-05, eta: 7:05:07, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2531, decode.acc_seg: 89.5804, aux.loss_ce: 0.1446, aux.acc_seg: 86.1480, loss: 0.3977 2023-11-13 19:37:27,341 - mmseg - INFO - Iter [56200/160000] lr: 3.893e-05, eta: 7:04:55, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2513, decode.acc_seg: 89.5075, aux.loss_ce: 0.1401, aux.acc_seg: 86.5181, loss: 0.3914 2023-11-13 19:37:40,631 - mmseg - INFO - Iter [56250/160000] lr: 3.891e-05, eta: 7:04:45, time: 0.266, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2577, decode.acc_seg: 89.7671, aux.loss_ce: 0.1443, aux.acc_seg: 86.4765, loss: 0.4020 2023-11-13 19:37:52,359 - mmseg - INFO - Iter [56300/160000] lr: 3.889e-05, eta: 7:04:31, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2444, decode.acc_seg: 90.1288, aux.loss_ce: 0.1367, aux.acc_seg: 86.6817, loss: 0.3811 2023-11-13 19:38:04,606 - mmseg - INFO - Iter [56350/160000] lr: 3.887e-05, eta: 7:04:19, time: 0.244, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2510, decode.acc_seg: 89.5942, aux.loss_ce: 0.1443, aux.acc_seg: 86.1363, loss: 0.3952 2023-11-13 19:38:16,905 - mmseg - INFO - Iter [56400/160000] lr: 3.885e-05, eta: 7:04:07, time: 0.247, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2637, decode.acc_seg: 89.3891, aux.loss_ce: 0.1481, aux.acc_seg: 85.9005, loss: 0.4118 2023-11-13 19:38:28,866 - mmseg - INFO - Iter [56450/160000] lr: 3.883e-05, eta: 7:03:54, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2633, decode.acc_seg: 89.2715, aux.loss_ce: 0.1448, aux.acc_seg: 86.0020, loss: 0.4080 2023-11-13 19:38:41,798 - mmseg - INFO - Iter [56500/160000] lr: 3.881e-05, eta: 7:03:43, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2521, decode.acc_seg: 89.9050, aux.loss_ce: 0.1455, aux.acc_seg: 86.2094, loss: 0.3976 2023-11-13 19:38:54,385 - mmseg - INFO - Iter [56550/160000] lr: 3.879e-05, eta: 7:03:31, time: 0.252, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2584, decode.acc_seg: 89.3698, aux.loss_ce: 0.1442, aux.acc_seg: 86.1571, loss: 0.4026 2023-11-13 19:39:06,977 - mmseg - INFO - Iter [56600/160000] lr: 3.878e-05, eta: 7:03:19, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2556, decode.acc_seg: 89.6508, aux.loss_ce: 0.1403, aux.acc_seg: 86.7614, loss: 0.3959 2023-11-13 19:39:18,906 - mmseg - INFO - Iter [56650/160000] lr: 3.876e-05, eta: 7:03:07, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2524, decode.acc_seg: 89.5674, aux.loss_ce: 0.1412, aux.acc_seg: 86.3038, loss: 0.3936 2023-11-13 19:39:30,772 - mmseg - INFO - Iter [56700/160000] lr: 3.874e-05, eta: 7:02:53, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2746, decode.acc_seg: 88.8417, aux.loss_ce: 0.1538, aux.acc_seg: 85.4249, loss: 0.4284 2023-11-13 19:39:42,632 - mmseg - INFO - Iter [56750/160000] lr: 3.872e-05, eta: 7:02:40, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2420, decode.acc_seg: 89.7660, aux.loss_ce: 0.1376, aux.acc_seg: 86.0502, loss: 0.3796 2023-11-13 19:39:55,043 - mmseg - INFO - Iter [56800/160000] lr: 3.870e-05, eta: 7:02:28, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2462, decode.acc_seg: 90.2019, aux.loss_ce: 0.1402, aux.acc_seg: 86.5565, loss: 0.3864 2023-11-13 19:40:09,387 - mmseg - INFO - Iter [56850/160000] lr: 3.868e-05, eta: 7:02:20, time: 0.287, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2521, decode.acc_seg: 89.5383, aux.loss_ce: 0.1419, aux.acc_seg: 86.1494, loss: 0.3940 2023-11-13 19:40:20,988 - mmseg - INFO - Iter [56900/160000] lr: 3.866e-05, eta: 7:02:06, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2496, decode.acc_seg: 89.9049, aux.loss_ce: 0.1394, aux.acc_seg: 86.4086, loss: 0.3890 2023-11-13 19:40:32,610 - mmseg - INFO - Iter [56950/160000] lr: 3.864e-05, eta: 7:01:53, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2474, decode.acc_seg: 89.9474, aux.loss_ce: 0.1371, aux.acc_seg: 86.8628, loss: 0.3845 2023-11-13 19:40:44,386 - mmseg - INFO - Saving checkpoint at 57000 iterations 2023-11-13 19:40:47,072 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:40:47,072 - mmseg - INFO - Iter [57000/160000] lr: 3.863e-05, eta: 7:01:44, time: 0.289, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2428, decode.acc_seg: 90.2084, aux.loss_ce: 0.1372, aux.acc_seg: 86.6230, loss: 0.3800 2023-11-13 19:40:58,687 - mmseg - INFO - Iter [57050/160000] lr: 3.861e-05, eta: 7:01:31, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2537, decode.acc_seg: 89.4976, aux.loss_ce: 0.1460, aux.acc_seg: 86.0234, loss: 0.3998 2023-11-13 19:41:11,140 - mmseg - INFO - Iter [57100/160000] lr: 3.859e-05, eta: 7:01:19, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2564, decode.acc_seg: 89.5207, aux.loss_ce: 0.1478, aux.acc_seg: 85.8917, loss: 0.4042 2023-11-13 19:41:23,143 - mmseg - INFO - Iter [57150/160000] lr: 3.857e-05, eta: 7:01:06, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2505, decode.acc_seg: 89.9178, aux.loss_ce: 0.1421, aux.acc_seg: 86.7697, loss: 0.3926 2023-11-13 19:41:35,169 - mmseg - INFO - Iter [57200/160000] lr: 3.855e-05, eta: 7:00:53, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2447, decode.acc_seg: 90.1883, aux.loss_ce: 0.1358, aux.acc_seg: 87.1743, loss: 0.3805 2023-11-13 19:41:47,234 - mmseg - INFO - Iter [57250/160000] lr: 3.853e-05, eta: 7:00:41, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2552, decode.acc_seg: 89.4915, aux.loss_ce: 0.1433, aux.acc_seg: 86.0252, loss: 0.3985 2023-11-13 19:41:59,992 - mmseg - INFO - Iter [57300/160000] lr: 3.851e-05, eta: 7:00:29, time: 0.256, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2416, decode.acc_seg: 89.9721, aux.loss_ce: 0.1361, aux.acc_seg: 86.6198, loss: 0.3777 2023-11-13 19:42:12,236 - mmseg - INFO - Iter [57350/160000] lr: 3.849e-05, eta: 7:00:17, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2586, decode.acc_seg: 89.5609, aux.loss_ce: 0.1429, aux.acc_seg: 86.0432, loss: 0.4015 2023-11-13 19:42:23,986 - mmseg - INFO - Iter [57400/160000] lr: 3.848e-05, eta: 7:00:04, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2434, decode.acc_seg: 89.8280, aux.loss_ce: 0.1359, aux.acc_seg: 86.6044, loss: 0.3793 2023-11-13 19:42:35,609 - mmseg - INFO - Iter [57450/160000] lr: 3.846e-05, eta: 6:59:50, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2606, decode.acc_seg: 89.1961, aux.loss_ce: 0.1469, aux.acc_seg: 85.9003, loss: 0.4075 2023-11-13 19:42:47,719 - mmseg - INFO - Iter [57500/160000] lr: 3.844e-05, eta: 6:59:38, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2437, decode.acc_seg: 89.7795, aux.loss_ce: 0.1381, aux.acc_seg: 86.5853, loss: 0.3818 2023-11-13 19:42:59,780 - mmseg - INFO - Iter [57550/160000] lr: 3.842e-05, eta: 6:59:25, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2678, decode.acc_seg: 89.1366, aux.loss_ce: 0.1526, aux.acc_seg: 85.4117, loss: 0.4204 2023-11-13 19:43:11,650 - mmseg - INFO - Iter [57600/160000] lr: 3.840e-05, eta: 6:59:12, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2538, decode.acc_seg: 89.8203, aux.loss_ce: 0.1440, aux.acc_seg: 86.0626, loss: 0.3978 2023-11-13 19:43:23,391 - mmseg - INFO - Iter [57650/160000] lr: 3.838e-05, eta: 6:58:59, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2335, decode.acc_seg: 90.1759, aux.loss_ce: 0.1338, aux.acc_seg: 86.7721, loss: 0.3673 2023-11-13 19:43:35,397 - mmseg - INFO - Iter [57700/160000] lr: 3.836e-05, eta: 6:58:46, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2599, decode.acc_seg: 89.6070, aux.loss_ce: 0.1418, aux.acc_seg: 86.5000, loss: 0.4017 2023-11-13 19:43:48,041 - mmseg - INFO - Iter [57750/160000] lr: 3.834e-05, eta: 6:58:34, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2343, decode.acc_seg: 90.3944, aux.loss_ce: 0.1335, aux.acc_seg: 87.0621, loss: 0.3679 2023-11-13 19:44:00,096 - mmseg - INFO - Iter [57800/160000] lr: 3.833e-05, eta: 6:58:22, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2530, decode.acc_seg: 89.2375, aux.loss_ce: 0.1412, aux.acc_seg: 86.0430, loss: 0.3942 2023-11-13 19:44:11,756 - mmseg - INFO - Iter [57850/160000] lr: 3.831e-05, eta: 6:58:08, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2603, decode.acc_seg: 89.2875, aux.loss_ce: 0.1435, aux.acc_seg: 86.0241, loss: 0.4039 2023-11-13 19:44:23,344 - mmseg - INFO - Iter [57900/160000] lr: 3.829e-05, eta: 6:57:55, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2630, decode.acc_seg: 89.4143, aux.loss_ce: 0.1490, aux.acc_seg: 85.8122, loss: 0.4120 2023-11-13 19:44:34,970 - mmseg - INFO - Iter [57950/160000] lr: 3.827e-05, eta: 6:57:41, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2590, decode.acc_seg: 89.2223, aux.loss_ce: 0.1448, aux.acc_seg: 86.2895, loss: 0.4037 2023-11-13 19:44:46,593 - mmseg - INFO - Saving checkpoint at 58000 iterations 2023-11-13 19:44:49,162 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:44:49,162 - mmseg - INFO - Iter [58000/160000] lr: 3.825e-05, eta: 6:57:32, time: 0.284, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2516, decode.acc_seg: 89.7710, aux.loss_ce: 0.1442, aux.acc_seg: 86.2513, loss: 0.3959 2023-11-13 19:45:01,482 - mmseg - INFO - Iter [58050/160000] lr: 3.823e-05, eta: 6:57:20, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2421, decode.acc_seg: 90.1702, aux.loss_ce: 0.1359, aux.acc_seg: 87.0324, loss: 0.3779 2023-11-13 19:45:15,787 - mmseg - INFO - Iter [58100/160000] lr: 3.821e-05, eta: 6:57:12, time: 0.286, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2539, decode.acc_seg: 89.4345, aux.loss_ce: 0.1413, aux.acc_seg: 86.3984, loss: 0.3952 2023-11-13 19:45:27,638 - mmseg - INFO - Iter [58150/160000] lr: 3.819e-05, eta: 6:56:58, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2364, decode.acc_seg: 90.5046, aux.loss_ce: 0.1349, aux.acc_seg: 87.4084, loss: 0.3713 2023-11-13 19:45:39,363 - mmseg - INFO - Iter [58200/160000] lr: 3.818e-05, eta: 6:56:45, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2352, decode.acc_seg: 90.3630, aux.loss_ce: 0.1331, aux.acc_seg: 86.9553, loss: 0.3683 2023-11-13 19:45:51,014 - mmseg - INFO - Iter [58250/160000] lr: 3.816e-05, eta: 6:56:32, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2548, decode.acc_seg: 89.6811, aux.loss_ce: 0.1406, aux.acc_seg: 86.5968, loss: 0.3954 2023-11-13 19:46:04,246 - mmseg - INFO - Iter [58300/160000] lr: 3.814e-05, eta: 6:56:21, time: 0.265, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2367, decode.acc_seg: 90.2495, aux.loss_ce: 0.1359, aux.acc_seg: 86.9116, loss: 0.3726 2023-11-13 19:46:16,112 - mmseg - INFO - Iter [58350/160000] lr: 3.812e-05, eta: 6:56:08, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2489, decode.acc_seg: 89.9567, aux.loss_ce: 0.1430, aux.acc_seg: 86.3989, loss: 0.3919 2023-11-13 19:46:29,633 - mmseg - INFO - Iter [58400/160000] lr: 3.810e-05, eta: 6:55:58, time: 0.270, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2418, decode.acc_seg: 90.1358, aux.loss_ce: 0.1351, aux.acc_seg: 86.9353, loss: 0.3769 2023-11-13 19:46:41,364 - mmseg - INFO - Iter [58450/160000] lr: 3.808e-05, eta: 6:55:45, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2548, decode.acc_seg: 89.5546, aux.loss_ce: 0.1434, aux.acc_seg: 86.0809, loss: 0.3981 2023-11-13 19:46:53,070 - mmseg - INFO - Iter [58500/160000] lr: 3.806e-05, eta: 6:55:32, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2626, decode.acc_seg: 89.0651, aux.loss_ce: 0.1487, aux.acc_seg: 85.4441, loss: 0.4113 2023-11-13 19:47:05,219 - mmseg - INFO - Iter [58550/160000] lr: 3.804e-05, eta: 6:55:19, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2523, decode.acc_seg: 89.4859, aux.loss_ce: 0.1427, aux.acc_seg: 86.2693, loss: 0.3950 2023-11-13 19:47:16,877 - mmseg - INFO - Iter [58600/160000] lr: 3.803e-05, eta: 6:55:06, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2443, decode.acc_seg: 90.0361, aux.loss_ce: 0.1365, aux.acc_seg: 87.0340, loss: 0.3808 2023-11-13 19:47:29,058 - mmseg - INFO - Iter [58650/160000] lr: 3.801e-05, eta: 6:54:53, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2554, decode.acc_seg: 89.5615, aux.loss_ce: 0.1390, aux.acc_seg: 86.4235, loss: 0.3944 2023-11-13 19:47:41,269 - mmseg - INFO - Iter [58700/160000] lr: 3.799e-05, eta: 6:54:41, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2549, decode.acc_seg: 89.3646, aux.loss_ce: 0.1434, aux.acc_seg: 85.8805, loss: 0.3984 2023-11-13 19:47:53,593 - mmseg - INFO - Iter [58750/160000] lr: 3.797e-05, eta: 6:54:29, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2525, decode.acc_seg: 89.7676, aux.loss_ce: 0.1426, aux.acc_seg: 86.5332, loss: 0.3951 2023-11-13 19:48:05,516 - mmseg - INFO - Iter [58800/160000] lr: 3.795e-05, eta: 6:54:16, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2476, decode.acc_seg: 90.1001, aux.loss_ce: 0.1422, aux.acc_seg: 86.6950, loss: 0.3899 2023-11-13 19:48:17,370 - mmseg - INFO - Iter [58850/160000] lr: 3.793e-05, eta: 6:54:03, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2571, decode.acc_seg: 89.6438, aux.loss_ce: 0.1434, aux.acc_seg: 86.2282, loss: 0.4005 2023-11-13 19:48:29,011 - mmseg - INFO - Iter [58900/160000] lr: 3.791e-05, eta: 6:53:49, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2494, decode.acc_seg: 89.6762, aux.loss_ce: 0.1383, aux.acc_seg: 86.5128, loss: 0.3877 2023-11-13 19:48:40,629 - mmseg - INFO - Iter [58950/160000] lr: 3.789e-05, eta: 6:53:36, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2458, decode.acc_seg: 89.7082, aux.loss_ce: 0.1388, aux.acc_seg: 86.4614, loss: 0.3846 2023-11-13 19:48:52,470 - mmseg - INFO - Saving checkpoint at 59000 iterations 2023-11-13 19:48:55,111 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:48:55,111 - mmseg - INFO - Iter [59000/160000] lr: 3.788e-05, eta: 6:53:27, time: 0.290, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2472, decode.acc_seg: 90.0276, aux.loss_ce: 0.1398, aux.acc_seg: 86.3683, loss: 0.3870 2023-11-13 19:49:06,824 - mmseg - INFO - Iter [59050/160000] lr: 3.786e-05, eta: 6:53:14, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2493, decode.acc_seg: 89.8585, aux.loss_ce: 0.1367, aux.acc_seg: 86.8570, loss: 0.3860 2023-11-13 19:49:19,118 - mmseg - INFO - Iter [59100/160000] lr: 3.784e-05, eta: 6:53:02, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2516, decode.acc_seg: 89.7316, aux.loss_ce: 0.1371, aux.acc_seg: 86.6987, loss: 0.3887 2023-11-13 19:49:31,458 - mmseg - INFO - Iter [59150/160000] lr: 3.782e-05, eta: 6:52:50, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2396, decode.acc_seg: 89.9116, aux.loss_ce: 0.1348, aux.acc_seg: 86.8426, loss: 0.3745 2023-11-13 19:49:43,873 - mmseg - INFO - Iter [59200/160000] lr: 3.780e-05, eta: 6:52:38, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2445, decode.acc_seg: 89.8549, aux.loss_ce: 0.1432, aux.acc_seg: 86.0990, loss: 0.3876 2023-11-13 19:49:55,510 - mmseg - INFO - Iter [59250/160000] lr: 3.778e-05, eta: 6:52:24, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2289, decode.acc_seg: 90.4003, aux.loss_ce: 0.1323, aux.acc_seg: 86.8026, loss: 0.3612 2023-11-13 19:50:07,298 - mmseg - INFO - Iter [59300/160000] lr: 3.776e-05, eta: 6:52:11, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2452, decode.acc_seg: 90.0478, aux.loss_ce: 0.1380, aux.acc_seg: 86.8090, loss: 0.3832 2023-11-13 19:50:20,534 - mmseg - INFO - Iter [59350/160000] lr: 3.774e-05, eta: 6:52:01, time: 0.265, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2631, decode.acc_seg: 89.2990, aux.loss_ce: 0.1462, aux.acc_seg: 86.1671, loss: 0.4093 2023-11-13 19:50:34,435 - mmseg - INFO - Iter [59400/160000] lr: 3.773e-05, eta: 6:51:51, time: 0.278, data_time: 0.048, memory: 5958, decode.loss_ce: 0.2479, decode.acc_seg: 89.9507, aux.loss_ce: 0.1466, aux.acc_seg: 86.0027, loss: 0.3945 2023-11-13 19:50:47,485 - mmseg - INFO - Iter [59450/160000] lr: 3.771e-05, eta: 6:51:40, time: 0.261, data_time: 0.009, memory: 5958, decode.loss_ce: 0.2333, decode.acc_seg: 90.2081, aux.loss_ce: 0.1374, aux.acc_seg: 86.5577, loss: 0.3707 2023-11-13 19:50:59,149 - mmseg - INFO - Iter [59500/160000] lr: 3.769e-05, eta: 6:51:27, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2515, decode.acc_seg: 90.1666, aux.loss_ce: 0.1429, aux.acc_seg: 86.8624, loss: 0.3944 2023-11-13 19:51:10,782 - mmseg - INFO - Iter [59550/160000] lr: 3.767e-05, eta: 6:51:13, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2438, decode.acc_seg: 90.2745, aux.loss_ce: 0.1374, aux.acc_seg: 86.9582, loss: 0.3812 2023-11-13 19:51:22,348 - mmseg - INFO - Iter [59600/160000] lr: 3.765e-05, eta: 6:51:00, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2295, decode.acc_seg: 90.5213, aux.loss_ce: 0.1335, aux.acc_seg: 87.0912, loss: 0.3631 2023-11-13 19:51:34,248 - mmseg - INFO - Iter [59650/160000] lr: 3.763e-05, eta: 6:50:47, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2530, decode.acc_seg: 89.7309, aux.loss_ce: 0.1424, aux.acc_seg: 86.1216, loss: 0.3953 2023-11-13 19:51:47,428 - mmseg - INFO - Iter [59700/160000] lr: 3.761e-05, eta: 6:50:36, time: 0.264, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2306, decode.acc_seg: 90.3734, aux.loss_ce: 0.1294, aux.acc_seg: 87.4029, loss: 0.3600 2023-11-13 19:51:59,235 - mmseg - INFO - Iter [59750/160000] lr: 3.759e-05, eta: 6:50:23, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2403, decode.acc_seg: 90.1025, aux.loss_ce: 0.1365, aux.acc_seg: 86.6911, loss: 0.3768 2023-11-13 19:52:10,831 - mmseg - INFO - Iter [59800/160000] lr: 3.758e-05, eta: 6:50:10, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2471, decode.acc_seg: 89.8367, aux.loss_ce: 0.1413, aux.acc_seg: 86.3480, loss: 0.3884 2023-11-13 19:52:22,610 - mmseg - INFO - Iter [59850/160000] lr: 3.756e-05, eta: 6:49:56, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2407, decode.acc_seg: 90.0660, aux.loss_ce: 0.1406, aux.acc_seg: 86.3862, loss: 0.3813 2023-11-13 19:52:34,200 - mmseg - INFO - Iter [59900/160000] lr: 3.754e-05, eta: 6:49:43, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2521, decode.acc_seg: 89.7949, aux.loss_ce: 0.1439, aux.acc_seg: 86.6091, loss: 0.3960 2023-11-13 19:52:45,859 - mmseg - INFO - Iter [59950/160000] lr: 3.752e-05, eta: 6:49:30, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2373, decode.acc_seg: 90.2680, aux.loss_ce: 0.1345, aux.acc_seg: 87.0169, loss: 0.3718 2023-11-13 19:52:57,593 - mmseg - INFO - Saving checkpoint at 60000 iterations 2023-11-13 19:53:00,098 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:53:00,099 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 6:49:21, time: 0.285, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2415, decode.acc_seg: 90.1329, aux.loss_ce: 0.1350, aux.acc_seg: 87.0864, loss: 0.3766 2023-11-13 19:53:12,080 - mmseg - INFO - Iter [60050/160000] lr: 3.748e-05, eta: 6:49:08, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2513, decode.acc_seg: 89.5932, aux.loss_ce: 0.1433, aux.acc_seg: 86.0650, loss: 0.3946 2023-11-13 19:53:25,460 - mmseg - INFO - Iter [60100/160000] lr: 3.746e-05, eta: 6:48:57, time: 0.268, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2547, decode.acc_seg: 89.6152, aux.loss_ce: 0.1474, aux.acc_seg: 86.3966, loss: 0.4021 2023-11-13 19:53:37,363 - mmseg - INFO - Iter [60150/160000] lr: 3.744e-05, eta: 6:48:45, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2444, decode.acc_seg: 89.6409, aux.loss_ce: 0.1407, aux.acc_seg: 86.2973, loss: 0.3850 2023-11-13 19:53:49,040 - mmseg - INFO - Iter [60200/160000] lr: 3.743e-05, eta: 6:48:31, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2558, decode.acc_seg: 89.5004, aux.loss_ce: 0.1452, aux.acc_seg: 86.1607, loss: 0.4011 2023-11-13 19:54:00,625 - mmseg - INFO - Iter [60250/160000] lr: 3.741e-05, eta: 6:48:18, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2548, decode.acc_seg: 89.4334, aux.loss_ce: 0.1443, aux.acc_seg: 85.9108, loss: 0.3991 2023-11-13 19:54:12,840 - mmseg - INFO - Iter [60300/160000] lr: 3.739e-05, eta: 6:48:05, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2360, decode.acc_seg: 90.1100, aux.loss_ce: 0.1370, aux.acc_seg: 86.5636, loss: 0.3730 2023-11-13 19:54:25,112 - mmseg - INFO - Iter [60350/160000] lr: 3.737e-05, eta: 6:47:53, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2380, decode.acc_seg: 90.1861, aux.loss_ce: 0.1372, aux.acc_seg: 86.6913, loss: 0.3752 2023-11-13 19:54:36,793 - mmseg - INFO - Iter [60400/160000] lr: 3.735e-05, eta: 6:47:40, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2506, decode.acc_seg: 89.9292, aux.loss_ce: 0.1421, aux.acc_seg: 86.6737, loss: 0.3927 2023-11-13 19:54:48,422 - mmseg - INFO - Iter [60450/160000] lr: 3.733e-05, eta: 6:47:27, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2375, decode.acc_seg: 90.2017, aux.loss_ce: 0.1366, aux.acc_seg: 86.7377, loss: 0.3741 2023-11-13 19:55:00,511 - mmseg - INFO - Iter [60500/160000] lr: 3.731e-05, eta: 6:47:14, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2449, decode.acc_seg: 90.0425, aux.loss_ce: 0.1402, aux.acc_seg: 86.5120, loss: 0.3851 2023-11-13 19:55:12,877 - mmseg - INFO - Iter [60550/160000] lr: 3.729e-05, eta: 6:47:02, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2352, decode.acc_seg: 90.4181, aux.loss_ce: 0.1345, aux.acc_seg: 86.9488, loss: 0.3697 2023-11-13 19:55:24,511 - mmseg - INFO - Iter [60600/160000] lr: 3.728e-05, eta: 6:46:49, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2499, decode.acc_seg: 89.6306, aux.loss_ce: 0.1397, aux.acc_seg: 86.5762, loss: 0.3897 2023-11-13 19:55:38,483 - mmseg - INFO - Iter [60650/160000] lr: 3.726e-05, eta: 6:46:39, time: 0.279, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2470, decode.acc_seg: 89.8687, aux.loss_ce: 0.1407, aux.acc_seg: 86.3147, loss: 0.3877 2023-11-13 19:55:50,136 - mmseg - INFO - Iter [60700/160000] lr: 3.724e-05, eta: 6:46:26, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2373, decode.acc_seg: 90.5289, aux.loss_ce: 0.1346, aux.acc_seg: 87.0811, loss: 0.3719 2023-11-13 19:56:01,912 - mmseg - INFO - Iter [60750/160000] lr: 3.722e-05, eta: 6:46:13, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2511, decode.acc_seg: 89.8540, aux.loss_ce: 0.1384, aux.acc_seg: 86.9111, loss: 0.3895 2023-11-13 19:56:13,563 - mmseg - INFO - Iter [60800/160000] lr: 3.720e-05, eta: 6:45:59, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2341, decode.acc_seg: 90.2397, aux.loss_ce: 0.1323, aux.acc_seg: 86.9161, loss: 0.3664 2023-11-13 19:56:25,241 - mmseg - INFO - Iter [60850/160000] lr: 3.718e-05, eta: 6:45:46, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2325, decode.acc_seg: 90.3130, aux.loss_ce: 0.1307, aux.acc_seg: 86.9340, loss: 0.3632 2023-11-13 19:56:36,963 - mmseg - INFO - Iter [60900/160000] lr: 3.716e-05, eta: 6:45:33, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2536, decode.acc_seg: 89.6801, aux.loss_ce: 0.1404, aux.acc_seg: 86.3295, loss: 0.3939 2023-11-13 19:56:48,614 - mmseg - INFO - Iter [60950/160000] lr: 3.714e-05, eta: 6:45:20, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2570, decode.acc_seg: 89.6291, aux.loss_ce: 0.1479, aux.acc_seg: 86.1278, loss: 0.4049 2023-11-13 19:57:00,239 - mmseg - INFO - Saving checkpoint at 61000 iterations 2023-11-13 19:57:02,941 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 19:57:02,942 - mmseg - INFO - Iter [61000/160000] lr: 3.713e-05, eta: 6:45:11, time: 0.287, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2442, decode.acc_seg: 90.0003, aux.loss_ce: 0.1354, aux.acc_seg: 86.6922, loss: 0.3796 2023-11-13 19:57:14,892 - mmseg - INFO - Iter [61050/160000] lr: 3.711e-05, eta: 6:44:58, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2512, decode.acc_seg: 89.7565, aux.loss_ce: 0.1391, aux.acc_seg: 86.6398, loss: 0.3903 2023-11-13 19:57:26,969 - mmseg - INFO - Iter [61100/160000] lr: 3.709e-05, eta: 6:44:45, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2375, decode.acc_seg: 90.1050, aux.loss_ce: 0.1383, aux.acc_seg: 86.5694, loss: 0.3758 2023-11-13 19:57:39,310 - mmseg - INFO - Iter [61150/160000] lr: 3.707e-05, eta: 6:44:33, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2514, decode.acc_seg: 89.7946, aux.loss_ce: 0.1436, aux.acc_seg: 86.0890, loss: 0.3949 2023-11-13 19:57:50,950 - mmseg - INFO - Iter [61200/160000] lr: 3.705e-05, eta: 6:44:20, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2368, decode.acc_seg: 90.1460, aux.loss_ce: 0.1311, aux.acc_seg: 87.2628, loss: 0.3679 2023-11-13 19:58:03,143 - mmseg - INFO - Iter [61250/160000] lr: 3.703e-05, eta: 6:44:07, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2537, decode.acc_seg: 89.6275, aux.loss_ce: 0.1387, aux.acc_seg: 86.3513, loss: 0.3923 2023-11-13 19:58:14,690 - mmseg - INFO - Iter [61300/160000] lr: 3.701e-05, eta: 6:43:54, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2362, decode.acc_seg: 90.4369, aux.loss_ce: 0.1356, aux.acc_seg: 86.9528, loss: 0.3718 2023-11-13 19:58:26,358 - mmseg - INFO - Iter [61350/160000] lr: 3.699e-05, eta: 6:43:41, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2304, decode.acc_seg: 90.6217, aux.loss_ce: 0.1357, aux.acc_seg: 87.1231, loss: 0.3661 2023-11-13 19:58:38,723 - mmseg - INFO - Iter [61400/160000] lr: 3.698e-05, eta: 6:43:28, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2286, decode.acc_seg: 90.6929, aux.loss_ce: 0.1286, aux.acc_seg: 87.5706, loss: 0.3571 2023-11-13 19:58:50,733 - mmseg - INFO - Iter [61450/160000] lr: 3.696e-05, eta: 6:43:16, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2391, decode.acc_seg: 90.0358, aux.loss_ce: 0.1379, aux.acc_seg: 86.5889, loss: 0.3770 2023-11-13 19:59:02,307 - mmseg - INFO - Iter [61500/160000] lr: 3.694e-05, eta: 6:43:02, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2482, decode.acc_seg: 90.0833, aux.loss_ce: 0.1404, aux.acc_seg: 86.9173, loss: 0.3885 2023-11-13 19:59:14,012 - mmseg - INFO - Iter [61550/160000] lr: 3.692e-05, eta: 6:42:49, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2416, decode.acc_seg: 89.8686, aux.loss_ce: 0.1361, aux.acc_seg: 86.5021, loss: 0.3777 2023-11-13 19:59:25,633 - mmseg - INFO - Iter [61600/160000] lr: 3.690e-05, eta: 6:42:36, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2480, decode.acc_seg: 90.0177, aux.loss_ce: 0.1388, aux.acc_seg: 86.7032, loss: 0.3869 2023-11-13 19:59:38,249 - mmseg - INFO - Iter [61650/160000] lr: 3.688e-05, eta: 6:42:24, time: 0.252, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2545, decode.acc_seg: 89.9461, aux.loss_ce: 0.1448, aux.acc_seg: 86.5074, loss: 0.3993 2023-11-13 19:59:50,273 - mmseg - INFO - Iter [61700/160000] lr: 3.686e-05, eta: 6:42:11, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2381, decode.acc_seg: 90.0001, aux.loss_ce: 0.1390, aux.acc_seg: 86.2827, loss: 0.3771 2023-11-13 20:00:01,942 - mmseg - INFO - Iter [61750/160000] lr: 3.684e-05, eta: 6:41:58, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2579, decode.acc_seg: 89.5943, aux.loss_ce: 0.1421, aux.acc_seg: 86.4101, loss: 0.4001 2023-11-13 20:00:13,575 - mmseg - INFO - Iter [61800/160000] lr: 3.683e-05, eta: 6:41:45, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2467, decode.acc_seg: 89.9832, aux.loss_ce: 0.1390, aux.acc_seg: 86.7178, loss: 0.3857 2023-11-13 20:00:25,177 - mmseg - INFO - Iter [61850/160000] lr: 3.681e-05, eta: 6:41:32, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2420, decode.acc_seg: 89.8435, aux.loss_ce: 0.1324, aux.acc_seg: 87.0358, loss: 0.3743 2023-11-13 20:00:39,078 - mmseg - INFO - Iter [61900/160000] lr: 3.679e-05, eta: 6:41:22, time: 0.278, data_time: 0.048, memory: 5958, decode.loss_ce: 0.2445, decode.acc_seg: 89.8411, aux.loss_ce: 0.1375, aux.acc_seg: 86.6041, loss: 0.3820 2023-11-13 20:00:50,708 - mmseg - INFO - Iter [61950/160000] lr: 3.677e-05, eta: 6:41:09, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2246, decode.acc_seg: 90.4183, aux.loss_ce: 0.1316, aux.acc_seg: 87.0193, loss: 0.3562 2023-11-13 20:01:02,306 - mmseg - INFO - Saving checkpoint at 62000 iterations 2023-11-13 20:01:04,869 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:01:04,869 - mmseg - INFO - Iter [62000/160000] lr: 3.675e-05, eta: 6:40:59, time: 0.283, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2336, decode.acc_seg: 90.3041, aux.loss_ce: 0.1321, aux.acc_seg: 86.9787, loss: 0.3657 2023-11-13 20:01:16,536 - mmseg - INFO - Iter [62050/160000] lr: 3.673e-05, eta: 6:40:46, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2450, decode.acc_seg: 89.9246, aux.loss_ce: 0.1447, aux.acc_seg: 86.0309, loss: 0.3897 2023-11-13 20:01:28,126 - mmseg - INFO - Iter [62100/160000] lr: 3.671e-05, eta: 6:40:33, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2232, decode.acc_seg: 90.6130, aux.loss_ce: 0.1254, aux.acc_seg: 87.6893, loss: 0.3486 2023-11-13 20:01:39,788 - mmseg - INFO - Iter [62150/160000] lr: 3.669e-05, eta: 6:40:19, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2301, decode.acc_seg: 90.3476, aux.loss_ce: 0.1364, aux.acc_seg: 86.8245, loss: 0.3665 2023-11-13 20:01:51,538 - mmseg - INFO - Iter [62200/160000] lr: 3.668e-05, eta: 6:40:06, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2369, decode.acc_seg: 90.0806, aux.loss_ce: 0.1337, aux.acc_seg: 86.8525, loss: 0.3706 2023-11-13 20:02:03,130 - mmseg - INFO - Iter [62250/160000] lr: 3.666e-05, eta: 6:39:53, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2302, decode.acc_seg: 90.8217, aux.loss_ce: 0.1282, aux.acc_seg: 87.7087, loss: 0.3584 2023-11-13 20:02:15,228 - mmseg - INFO - Iter [62300/160000] lr: 3.664e-05, eta: 6:39:40, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2335, decode.acc_seg: 90.3141, aux.loss_ce: 0.1341, aux.acc_seg: 86.9397, loss: 0.3676 2023-11-13 20:02:27,047 - mmseg - INFO - Iter [62350/160000] lr: 3.662e-05, eta: 6:39:27, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2364, decode.acc_seg: 90.2251, aux.loss_ce: 0.1371, aux.acc_seg: 86.6581, loss: 0.3735 2023-11-13 20:02:38,697 - mmseg - INFO - Iter [62400/160000] lr: 3.660e-05, eta: 6:39:14, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2484, decode.acc_seg: 90.0002, aux.loss_ce: 0.1417, aux.acc_seg: 86.5937, loss: 0.3901 2023-11-13 20:02:50,422 - mmseg - INFO - Iter [62450/160000] lr: 3.658e-05, eta: 6:39:01, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2491, decode.acc_seg: 89.4407, aux.loss_ce: 0.1424, aux.acc_seg: 86.1892, loss: 0.3915 2023-11-13 20:03:02,087 - mmseg - INFO - Iter [62500/160000] lr: 3.656e-05, eta: 6:38:48, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2353, decode.acc_seg: 90.5001, aux.loss_ce: 0.1357, aux.acc_seg: 87.1510, loss: 0.3709 2023-11-13 20:03:13,998 - mmseg - INFO - Iter [62550/160000] lr: 3.654e-05, eta: 6:38:35, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2401, decode.acc_seg: 90.3204, aux.loss_ce: 0.1311, aux.acc_seg: 87.7740, loss: 0.3713 2023-11-13 20:03:25,881 - mmseg - INFO - Iter [62600/160000] lr: 3.653e-05, eta: 6:38:22, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2356, decode.acc_seg: 90.1444, aux.loss_ce: 0.1378, aux.acc_seg: 86.3729, loss: 0.3734 2023-11-13 20:03:37,586 - mmseg - INFO - Iter [62650/160000] lr: 3.651e-05, eta: 6:38:09, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2351, decode.acc_seg: 90.3168, aux.loss_ce: 0.1354, aux.acc_seg: 86.9134, loss: 0.3704 2023-11-13 20:03:49,470 - mmseg - INFO - Iter [62700/160000] lr: 3.649e-05, eta: 6:37:56, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2287, decode.acc_seg: 90.3180, aux.loss_ce: 0.1283, aux.acc_seg: 87.2883, loss: 0.3570 2023-11-13 20:04:01,464 - mmseg - INFO - Iter [62750/160000] lr: 3.647e-05, eta: 6:37:43, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2348, decode.acc_seg: 90.3284, aux.loss_ce: 0.1332, aux.acc_seg: 87.0480, loss: 0.3680 2023-11-13 20:04:13,078 - mmseg - INFO - Iter [62800/160000] lr: 3.645e-05, eta: 6:37:30, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2419, decode.acc_seg: 90.4382, aux.loss_ce: 0.1350, aux.acc_seg: 87.2196, loss: 0.3770 2023-11-13 20:04:24,890 - mmseg - INFO - Iter [62850/160000] lr: 3.643e-05, eta: 6:37:17, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2415, decode.acc_seg: 90.0642, aux.loss_ce: 0.1373, aux.acc_seg: 86.8004, loss: 0.3788 2023-11-13 20:04:37,684 - mmseg - INFO - Iter [62900/160000] lr: 3.641e-05, eta: 6:37:06, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2378, decode.acc_seg: 90.1942, aux.loss_ce: 0.1382, aux.acc_seg: 86.7935, loss: 0.3760 2023-11-13 20:04:49,293 - mmseg - INFO - Iter [62950/160000] lr: 3.639e-05, eta: 6:36:52, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2483, decode.acc_seg: 90.1011, aux.loss_ce: 0.1382, aux.acc_seg: 86.9492, loss: 0.3865 2023-11-13 20:05:01,469 - mmseg - INFO - Saving checkpoint at 63000 iterations 2023-11-13 20:05:04,071 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:05:04,071 - mmseg - INFO - Iter [63000/160000] lr: 3.638e-05, eta: 6:36:44, time: 0.296, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2407, decode.acc_seg: 90.0656, aux.loss_ce: 0.1382, aux.acc_seg: 86.7085, loss: 0.3789 2023-11-13 20:05:15,746 - mmseg - INFO - Iter [63050/160000] lr: 3.636e-05, eta: 6:36:31, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2435, decode.acc_seg: 90.0817, aux.loss_ce: 0.1395, aux.acc_seg: 86.5141, loss: 0.3830 2023-11-13 20:05:27,451 - mmseg - INFO - Iter [63100/160000] lr: 3.634e-05, eta: 6:36:18, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2450, decode.acc_seg: 89.9330, aux.loss_ce: 0.1378, aux.acc_seg: 86.4882, loss: 0.3828 2023-11-13 20:05:39,039 - mmseg - INFO - Iter [63150/160000] lr: 3.632e-05, eta: 6:36:04, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2444, decode.acc_seg: 90.0792, aux.loss_ce: 0.1375, aux.acc_seg: 86.5983, loss: 0.3819 2023-11-13 20:05:53,012 - mmseg - INFO - Iter [63200/160000] lr: 3.630e-05, eta: 6:35:55, time: 0.279, data_time: 0.051, memory: 5958, decode.loss_ce: 0.2351, decode.acc_seg: 90.5359, aux.loss_ce: 0.1324, aux.acc_seg: 87.2915, loss: 0.3675 2023-11-13 20:06:06,006 - mmseg - INFO - Iter [63250/160000] lr: 3.628e-05, eta: 6:35:44, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2270, decode.acc_seg: 90.8244, aux.loss_ce: 0.1267, aux.acc_seg: 87.8451, loss: 0.3537 2023-11-13 20:06:17,948 - mmseg - INFO - Iter [63300/160000] lr: 3.626e-05, eta: 6:35:31, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2517, decode.acc_seg: 89.7347, aux.loss_ce: 0.1389, aux.acc_seg: 86.4694, loss: 0.3907 2023-11-13 20:06:30,827 - mmseg - INFO - Iter [63350/160000] lr: 3.624e-05, eta: 6:35:19, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2246, decode.acc_seg: 90.5076, aux.loss_ce: 0.1273, aux.acc_seg: 87.4029, loss: 0.3520 2023-11-13 20:06:42,415 - mmseg - INFO - Iter [63400/160000] lr: 3.623e-05, eta: 6:35:06, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2262, decode.acc_seg: 91.0225, aux.loss_ce: 0.1312, aux.acc_seg: 87.4909, loss: 0.3574 2023-11-13 20:06:54,036 - mmseg - INFO - Iter [63450/160000] lr: 3.621e-05, eta: 6:34:53, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2399, decode.acc_seg: 90.2785, aux.loss_ce: 0.1361, aux.acc_seg: 87.2375, loss: 0.3760 2023-11-13 20:07:05,738 - mmseg - INFO - Iter [63500/160000] lr: 3.619e-05, eta: 6:34:40, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2462, decode.acc_seg: 89.9544, aux.loss_ce: 0.1366, aux.acc_seg: 86.7842, loss: 0.3827 2023-11-13 20:07:17,382 - mmseg - INFO - Iter [63550/160000] lr: 3.617e-05, eta: 6:34:27, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2374, decode.acc_seg: 90.4494, aux.loss_ce: 0.1365, aux.acc_seg: 87.3231, loss: 0.3739 2023-11-13 20:07:29,181 - mmseg - INFO - Iter [63600/160000] lr: 3.615e-05, eta: 6:34:14, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2378, decode.acc_seg: 90.3852, aux.loss_ce: 0.1364, aux.acc_seg: 86.8734, loss: 0.3741 2023-11-13 20:07:41,081 - mmseg - INFO - Iter [63650/160000] lr: 3.613e-05, eta: 6:34:01, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2162, decode.acc_seg: 91.0118, aux.loss_ce: 0.1249, aux.acc_seg: 87.9492, loss: 0.3411 2023-11-13 20:07:52,980 - mmseg - INFO - Iter [63700/160000] lr: 3.611e-05, eta: 6:33:48, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2223, decode.acc_seg: 90.7491, aux.loss_ce: 0.1312, aux.acc_seg: 87.1045, loss: 0.3535 2023-11-13 20:08:05,407 - mmseg - INFO - Iter [63750/160000] lr: 3.609e-05, eta: 6:33:36, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2433, decode.acc_seg: 89.7868, aux.loss_ce: 0.1377, aux.acc_seg: 86.2875, loss: 0.3810 2023-11-13 20:08:17,592 - mmseg - INFO - Iter [63800/160000] lr: 3.608e-05, eta: 6:33:23, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2365, decode.acc_seg: 90.3057, aux.loss_ce: 0.1330, aux.acc_seg: 87.1842, loss: 0.3695 2023-11-13 20:08:30,524 - mmseg - INFO - Iter [63850/160000] lr: 3.606e-05, eta: 6:33:12, time: 0.259, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2356, decode.acc_seg: 90.2859, aux.loss_ce: 0.1307, aux.acc_seg: 87.2554, loss: 0.3663 2023-11-13 20:08:42,204 - mmseg - INFO - Iter [63900/160000] lr: 3.604e-05, eta: 6:32:59, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2298, decode.acc_seg: 90.7215, aux.loss_ce: 0.1296, aux.acc_seg: 87.6427, loss: 0.3593 2023-11-13 20:08:53,971 - mmseg - INFO - Iter [63950/160000] lr: 3.602e-05, eta: 6:32:46, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2402, decode.acc_seg: 89.8746, aux.loss_ce: 0.1382, aux.acc_seg: 86.3108, loss: 0.3784 2023-11-13 20:09:07,031 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-11-13 20:09:09,781 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:09:09,782 - mmseg - INFO - Iter [64000/160000] lr: 3.600e-05, eta: 6:32:39, time: 0.316, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2291, decode.acc_seg: 90.6016, aux.loss_ce: 0.1333, aux.acc_seg: 87.0440, loss: 0.3625 2023-11-13 20:09:23,843 - mmseg - INFO - per class results: 2023-11-13 20:09:23,848 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.49 | 88.49 | | building | 83.49 | 92.76 | | sky | 94.5 | 97.62 | | floor | 82.4 | 90.13 | | tree | 74.15 | 87.06 | | ceiling | 84.28 | 91.71 | | road | 83.42 | 92.81 | | bed | 89.85 | 96.65 | | windowpane | 63.0 | 78.11 | | grass | 64.83 | 75.67 | | cabinet | 60.07 | 74.1 | | sidewalk | 65.36 | 75.54 | | person | 81.42 | 92.87 | | earth | 35.68 | 48.85 | | door | 53.96 | 70.44 | | table | 59.91 | 77.11 | | mountain | 57.33 | 75.98 | | plant | 52.82 | 65.32 | | curtain | 72.92 | 85.89 | | chair | 58.02 | 70.43 | | car | 84.24 | 92.21 | | water | 52.32 | 65.46 | | painting | 70.29 | 86.94 | | sofa | 66.63 | 78.52 | | shelf | 41.58 | 57.64 | | house | 51.99 | 65.64 | | sea | 62.5 | 89.91 | | mirror | 71.64 | 79.95 | | rug | 64.09 | 77.14 | | field | 28.47 | 57.38 | | armchair | 44.47 | 69.71 | | seat | 61.26 | 77.11 | | fence | 45.85 | 65.13 | | desk | 49.82 | 71.2 | | rock | 42.95 | 65.22 | | wardrobe | 51.59 | 71.74 | | lamp | 63.73 | 79.09 | | bathtub | 76.09 | 80.36 | | railing | 36.55 | 48.81 | | cushion | 56.28 | 76.1 | | base | 23.92 | 37.81 | | box | 27.24 | 38.32 | | column | 48.68 | 57.01 | | signboard | 38.42 | 53.42 | | chest of drawers | 46.26 | 69.28 | | counter | 31.5 | 41.05 | | sand | 49.16 | 59.24 | | sink | 69.52 | 80.8 | | skyscraper | 53.42 | 66.73 | | fireplace | 74.71 | 88.83 | | refrigerator | 79.27 | 85.41 | | grandstand | 52.31 | 77.92 | | path | 25.32 | 37.37 | | stairs | 34.68 | 44.17 | | runway | 63.16 | 86.5 | | case | 37.16 | 48.59 | | pool table | 92.17 | 97.68 | | pillow | 49.66 | 53.91 | | screen door | 80.54 | 87.14 | | stairway | 29.36 | 35.97 | | river | 15.16 | 25.82 | | bridge | 71.11 | 81.11 | | bookcase | 35.48 | 62.19 | | blind | 41.61 | 46.9 | | coffee table | 52.22 | 83.0 | | toilet | 84.36 | 90.55 | | flower | 44.89 | 57.3 | | book | 49.38 | 70.32 | | hill | 11.31 | 17.97 | | bench | 49.48 | 59.68 | | countertop | 54.73 | 72.88 | | stove | 79.58 | 88.03 | | palm | 52.17 | 74.75 | | kitchen island | 32.35 | 58.29 | | computer | 73.16 | 84.18 | | swivel chair | 45.1 | 60.58 | | boat | 43.56 | 50.79 | | bar | 40.76 | 52.53 | | arcade machine | 75.46 | 81.65 | | hovel | 38.17 | 42.99 | | bus | 90.83 | 97.03 | | towel | 63.77 | 75.47 | | light | 46.43 | 49.27 | | truck | 40.04 | 57.36 | | tower | 34.69 | 68.57 | | chandelier | 69.06 | 79.75 | | awning | 37.17 | 43.89 | | streetlight | 28.23 | 36.64 | | booth | 47.46 | 53.01 | | television receiver | 71.24 | 79.49 | | airplane | 66.32 | 78.45 | | dirt track | 11.77 | 31.25 | | apparel | 43.9 | 66.28 | | pole | 26.55 | 38.12 | | land | 5.53 | 8.21 | | bannister | 13.47 | 16.09 | | escalator | 32.56 | 42.88 | | ottoman | 50.7 | 66.14 | | bottle | 29.63 | 38.43 | | buffet | 29.17 | 36.09 | | poster | 16.88 | 18.75 | | stage | 18.56 | 29.38 | | van | 48.27 | 58.02 | | ship | 11.07 | 16.87 | | fountain | 23.18 | 24.39 | | conveyer belt | 60.73 | 87.97 | | canopy | 17.65 | 27.69 | | washer | 73.81 | 76.05 | | plaything | 23.33 | 31.68 | | swimming pool | 53.91 | 87.68 | | stool | 41.08 | 58.51 | | barrel | 35.6 | 64.74 | | basket | 36.18 | 46.96 | | waterfall | 50.14 | 56.43 | | tent | 90.0 | 98.47 | | bag | 13.11 | 15.67 | | minibike | 69.87 | 83.61 | | cradle | 79.46 | 86.69 | | oven | 39.83 | 64.42 | | ball | 38.42 | 41.55 | | food | 57.59 | 76.48 | | step | 8.41 | 9.6 | | tank | 61.05 | 65.0 | | trade name | 22.7 | 25.42 | | microwave | 70.45 | 80.15 | | pot | 47.01 | 53.65 | | animal | 64.83 | 67.41 | | bicycle | 58.01 | 76.96 | | lake | 58.34 | 66.36 | | dishwasher | 75.48 | 84.21 | | screen | 49.41 | 67.83 | | blanket | 15.6 | 19.39 | | sculpture | 67.88 | 77.2 | | hood | 58.69 | 63.83 | | sconce | 45.89 | 54.0 | | vase | 40.03 | 52.28 | | traffic light | 34.79 | 56.54 | | tray | 4.52 | 9.98 | | ashcan | 45.15 | 59.79 | | fan | 62.72 | 74.15 | | pier | 29.9 | 39.84 | | crt screen | 4.81 | 13.45 | | plate | 54.2 | 64.72 | | monitor | 24.12 | 26.52 | | bulletin board | 49.97 | 67.79 | | shower | 0.0 | 0.0 | | radiator | 54.8 | 62.6 | | glass | 12.05 | 12.67 | | clock | 34.53 | 41.53 | | flag | 46.55 | 52.01 | +---------------------+-------+-------+ 2023-11-13 20:09:23,848 - mmseg - INFO - Summary: 2023-11-13 20:09:23,849 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.35 | 49.69 | 61.67 | +-------+-------+-------+ 2023-11-13 20:09:23,903 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/upernet_flash_internimage_s_512_160k_ade20k/best_mIoU_iter_48000.pth was removed 2023-11-13 20:09:26,496 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. 2023-11-13 20:09:26,496 - mmseg - INFO - Best mIoU is 0.4969 at 64000 iter. 2023-11-13 20:09:26,497 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:09:26,497 - mmseg - INFO - Iter(val) [250] aAcc: 0.8335, mIoU: 0.4969, mAcc: 0.6167, IoU.wall: 0.7849, IoU.building: 0.8349, IoU.sky: 0.9450, IoU.floor: 0.8240, IoU.tree: 0.7415, IoU.ceiling: 0.8428, IoU.road: 0.8342, IoU.bed : 0.8985, IoU.windowpane: 0.6300, IoU.grass: 0.6483, IoU.cabinet: 0.6007, IoU.sidewalk: 0.6536, IoU.person: 0.8142, IoU.earth: 0.3568, IoU.door: 0.5396, IoU.table: 0.5991, IoU.mountain: 0.5733, IoU.plant: 0.5282, IoU.curtain: 0.7292, IoU.chair: 0.5802, IoU.car: 0.8424, IoU.water: 0.5232, IoU.painting: 0.7029, IoU.sofa: 0.6663, IoU.shelf: 0.4158, IoU.house: 0.5199, IoU.sea: 0.6250, IoU.mirror: 0.7164, IoU.rug: 0.6409, IoU.field: 0.2847, IoU.armchair: 0.4447, IoU.seat: 0.6126, IoU.fence: 0.4585, IoU.desk: 0.4982, IoU.rock: 0.4295, IoU.wardrobe: 0.5159, IoU.lamp: 0.6373, IoU.bathtub: 0.7609, IoU.railing: 0.3655, IoU.cushion: 0.5628, IoU.base: 0.2392, IoU.box: 0.2724, IoU.column: 0.4868, IoU.signboard: 0.3842, IoU.chest of drawers: 0.4626, IoU.counter: 0.3150, IoU.sand: 0.4916, IoU.sink: 0.6952, IoU.skyscraper: 0.5342, IoU.fireplace: 0.7471, IoU.refrigerator: 0.7927, IoU.grandstand: 0.5231, IoU.path: 0.2532, IoU.stairs: 0.3468, IoU.runway: 0.6316, IoU.case: 0.3716, IoU.pool table: 0.9217, IoU.pillow: 0.4966, IoU.screen door: 0.8054, IoU.stairway: 0.2936, IoU.river: 0.1516, IoU.bridge: 0.7111, IoU.bookcase: 0.3548, IoU.blind: 0.4161, IoU.coffee table: 0.5222, IoU.toilet: 0.8436, IoU.flower: 0.4489, IoU.book: 0.4938, IoU.hill: 0.1131, IoU.bench: 0.4948, IoU.countertop: 0.5473, IoU.stove: 0.7958, IoU.palm: 0.5217, IoU.kitchen island: 0.3235, IoU.computer: 0.7316, IoU.swivel chair: 0.4510, IoU.boat: 0.4356, IoU.bar: 0.4076, IoU.arcade machine: 0.7546, IoU.hovel: 0.3817, IoU.bus: 0.9083, IoU.towel: 0.6377, IoU.light: 0.4643, IoU.truck: 0.4004, IoU.tower: 0.3469, IoU.chandelier: 0.6906, IoU.awning: 0.3717, IoU.streetlight: 0.2823, IoU.booth: 0.4746, IoU.television receiver: 0.7124, IoU.airplane: 0.6632, IoU.dirt track: 0.1177, IoU.apparel: 0.4390, IoU.pole: 0.2655, IoU.land: 0.0553, IoU.bannister: 0.1347, IoU.escalator: 0.3256, IoU.ottoman: 0.5070, IoU.bottle: 0.2963, IoU.buffet: 0.2917, IoU.poster: 0.1688, IoU.stage: 0.1856, IoU.van: 0.4827, IoU.ship: 0.1107, IoU.fountain: 0.2318, IoU.conveyer belt: 0.6073, IoU.canopy: 0.1765, IoU.washer: 0.7381, IoU.plaything: 0.2333, IoU.swimming pool: 0.5391, IoU.stool: 0.4108, IoU.barrel: 0.3560, IoU.basket: 0.3618, IoU.waterfall: 0.5014, IoU.tent: 0.9000, IoU.bag: 0.1311, IoU.minibike: 0.6987, IoU.cradle: 0.7946, IoU.oven: 0.3983, IoU.ball: 0.3842, IoU.food: 0.5759, IoU.step: 0.0841, IoU.tank: 0.6105, IoU.trade name: 0.2270, IoU.microwave: 0.7045, IoU.pot: 0.4701, IoU.animal: 0.6483, IoU.bicycle: 0.5801, IoU.lake: 0.5834, IoU.dishwasher: 0.7548, IoU.screen: 0.4941, IoU.blanket: 0.1560, IoU.sculpture: 0.6788, IoU.hood: 0.5869, IoU.sconce: 0.4589, IoU.vase: 0.4003, IoU.traffic light: 0.3479, IoU.tray: 0.0452, IoU.ashcan: 0.4515, IoU.fan: 0.6272, IoU.pier: 0.2990, IoU.crt screen: 0.0481, IoU.plate: 0.5420, IoU.monitor: 0.2412, IoU.bulletin board: 0.4997, IoU.shower: 0.0000, IoU.radiator: 0.5480, IoU.glass: 0.1205, IoU.clock: 0.3453, IoU.flag: 0.4655, Acc.wall: 0.8849, Acc.building: 0.9276, Acc.sky: 0.9762, Acc.floor: 0.9013, Acc.tree: 0.8706, Acc.ceiling: 0.9171, Acc.road: 0.9281, Acc.bed : 0.9665, Acc.windowpane: 0.7811, Acc.grass: 0.7567, Acc.cabinet: 0.7410, Acc.sidewalk: 0.7554, Acc.person: 0.9287, Acc.earth: 0.4885, Acc.door: 0.7044, Acc.table: 0.7711, Acc.mountain: 0.7598, Acc.plant: 0.6532, Acc.curtain: 0.8589, Acc.chair: 0.7043, Acc.car: 0.9221, Acc.water: 0.6546, Acc.painting: 0.8694, Acc.sofa: 0.7852, Acc.shelf: 0.5764, Acc.house: 0.6564, Acc.sea: 0.8991, Acc.mirror: 0.7995, Acc.rug: 0.7714, Acc.field: 0.5738, Acc.armchair: 0.6971, Acc.seat: 0.7711, Acc.fence: 0.6513, Acc.desk: 0.7120, Acc.rock: 0.6522, Acc.wardrobe: 0.7174, Acc.lamp: 0.7909, Acc.bathtub: 0.8036, Acc.railing: 0.4881, Acc.cushion: 0.7610, Acc.base: 0.3781, Acc.box: 0.3832, Acc.column: 0.5701, Acc.signboard: 0.5342, Acc.chest of drawers: 0.6928, Acc.counter: 0.4105, Acc.sand: 0.5924, Acc.sink: 0.8080, Acc.skyscraper: 0.6673, Acc.fireplace: 0.8883, Acc.refrigerator: 0.8541, Acc.grandstand: 0.7792, Acc.path: 0.3737, Acc.stairs: 0.4417, Acc.runway: 0.8650, Acc.case: 0.4859, Acc.pool table: 0.9768, Acc.pillow: 0.5391, Acc.screen door: 0.8714, Acc.stairway: 0.3597, Acc.river: 0.2582, Acc.bridge: 0.8111, Acc.bookcase: 0.6219, Acc.blind: 0.4690, Acc.coffee table: 0.8300, Acc.toilet: 0.9055, Acc.flower: 0.5730, Acc.book: 0.7032, Acc.hill: 0.1797, Acc.bench: 0.5968, Acc.countertop: 0.7288, Acc.stove: 0.8803, Acc.palm: 0.7475, Acc.kitchen island: 0.5829, Acc.computer: 0.8418, Acc.swivel chair: 0.6058, Acc.boat: 0.5079, Acc.bar: 0.5253, Acc.arcade machine: 0.8165, Acc.hovel: 0.4299, Acc.bus: 0.9703, Acc.towel: 0.7547, Acc.light: 0.4927, Acc.truck: 0.5736, Acc.tower: 0.6857, Acc.chandelier: 0.7975, Acc.awning: 0.4389, Acc.streetlight: 0.3664, Acc.booth: 0.5301, Acc.television receiver: 0.7949, Acc.airplane: 0.7845, Acc.dirt track: 0.3125, Acc.apparel: 0.6628, Acc.pole: 0.3812, Acc.land: 0.0821, Acc.bannister: 0.1609, Acc.escalator: 0.4288, Acc.ottoman: 0.6614, Acc.bottle: 0.3843, Acc.buffet: 0.3609, Acc.poster: 0.1875, Acc.stage: 0.2938, Acc.van: 0.5802, Acc.ship: 0.1687, Acc.fountain: 0.2439, Acc.conveyer belt: 0.8797, Acc.canopy: 0.2769, Acc.washer: 0.7605, Acc.plaything: 0.3168, Acc.swimming pool: 0.8768, Acc.stool: 0.5851, Acc.barrel: 0.6474, Acc.basket: 0.4696, Acc.waterfall: 0.5643, Acc.tent: 0.9847, Acc.bag: 0.1567, Acc.minibike: 0.8361, Acc.cradle: 0.8669, Acc.oven: 0.6442, Acc.ball: 0.4155, Acc.food: 0.7648, Acc.step: 0.0960, Acc.tank: 0.6500, Acc.trade name: 0.2542, Acc.microwave: 0.8015, Acc.pot: 0.5365, Acc.animal: 0.6741, Acc.bicycle: 0.7696, Acc.lake: 0.6636, Acc.dishwasher: 0.8421, Acc.screen: 0.6783, Acc.blanket: 0.1939, Acc.sculpture: 0.7720, Acc.hood: 0.6383, Acc.sconce: 0.5400, Acc.vase: 0.5228, Acc.traffic light: 0.5654, Acc.tray: 0.0998, Acc.ashcan: 0.5979, Acc.fan: 0.7415, Acc.pier: 0.3984, Acc.crt screen: 0.1345, Acc.plate: 0.6472, Acc.monitor: 0.2652, Acc.bulletin board: 0.6779, Acc.shower: 0.0000, Acc.radiator: 0.6260, Acc.glass: 0.1267, Acc.clock: 0.4153, Acc.flag: 0.5201 2023-11-13 20:09:38,636 - mmseg - INFO - Iter [64050/160000] lr: 3.598e-05, eta: 6:32:52, time: 0.577, data_time: 0.339, memory: 5958, decode.loss_ce: 0.2312, decode.acc_seg: 90.5495, aux.loss_ce: 0.1328, aux.acc_seg: 86.9491, loss: 0.3640 2023-11-13 20:09:51,288 - mmseg - INFO - Iter [64100/160000] lr: 3.596e-05, eta: 6:32:40, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2415, decode.acc_seg: 90.1754, aux.loss_ce: 0.1382, aux.acc_seg: 86.7683, loss: 0.3797 2023-11-13 20:10:03,319 - mmseg - INFO - Iter [64150/160000] lr: 3.594e-05, eta: 6:32:27, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2414, decode.acc_seg: 90.1628, aux.loss_ce: 0.1408, aux.acc_seg: 86.4421, loss: 0.3821 2023-11-13 20:10:16,188 - mmseg - INFO - Iter [64200/160000] lr: 3.593e-05, eta: 6:32:16, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2281, decode.acc_seg: 90.5812, aux.loss_ce: 0.1317, aux.acc_seg: 87.2478, loss: 0.3599 2023-11-13 20:10:27,864 - mmseg - INFO - Iter [64250/160000] lr: 3.591e-05, eta: 6:32:03, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2411, decode.acc_seg: 89.9403, aux.loss_ce: 0.1376, aux.acc_seg: 86.5592, loss: 0.3787 2023-11-13 20:10:39,511 - mmseg - INFO - Iter [64300/160000] lr: 3.589e-05, eta: 6:31:49, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2253, decode.acc_seg: 90.6852, aux.loss_ce: 0.1283, aux.acc_seg: 87.5262, loss: 0.3535 2023-11-13 20:10:52,628 - mmseg - INFO - Iter [64350/160000] lr: 3.587e-05, eta: 6:31:38, time: 0.262, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2354, decode.acc_seg: 90.3193, aux.loss_ce: 0.1357, aux.acc_seg: 86.8261, loss: 0.3711 2023-11-13 20:11:04,766 - mmseg - INFO - Iter [64400/160000] lr: 3.585e-05, eta: 6:31:26, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2355, decode.acc_seg: 90.4228, aux.loss_ce: 0.1332, aux.acc_seg: 87.2746, loss: 0.3687 2023-11-13 20:11:18,720 - mmseg - INFO - Iter [64450/160000] lr: 3.583e-05, eta: 6:31:16, time: 0.279, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2334, decode.acc_seg: 90.5533, aux.loss_ce: 0.1348, aux.acc_seg: 87.2465, loss: 0.3682 2023-11-13 20:11:30,420 - mmseg - INFO - Iter [64500/160000] lr: 3.581e-05, eta: 6:31:03, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2296, decode.acc_seg: 90.9203, aux.loss_ce: 0.1279, aux.acc_seg: 88.0123, loss: 0.3575 2023-11-13 20:11:42,847 - mmseg - INFO - Iter [64550/160000] lr: 3.579e-05, eta: 6:30:51, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2330, decode.acc_seg: 90.6598, aux.loss_ce: 0.1368, aux.acc_seg: 87.3362, loss: 0.3698 2023-11-13 20:11:55,775 - mmseg - INFO - Iter [64600/160000] lr: 3.578e-05, eta: 6:30:39, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2292, decode.acc_seg: 90.6030, aux.loss_ce: 0.1320, aux.acc_seg: 87.2283, loss: 0.3612 2023-11-13 20:12:07,437 - mmseg - INFO - Iter [64650/160000] lr: 3.576e-05, eta: 6:30:26, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2511, decode.acc_seg: 89.8961, aux.loss_ce: 0.1474, aux.acc_seg: 86.1747, loss: 0.3984 2023-11-13 20:12:19,741 - mmseg - INFO - Iter [64700/160000] lr: 3.574e-05, eta: 6:30:14, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2432, decode.acc_seg: 90.1290, aux.loss_ce: 0.1365, aux.acc_seg: 86.8078, loss: 0.3797 2023-11-13 20:12:31,368 - mmseg - INFO - Iter [64750/160000] lr: 3.572e-05, eta: 6:30:01, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2278, decode.acc_seg: 90.5520, aux.loss_ce: 0.1325, aux.acc_seg: 87.1472, loss: 0.3603 2023-11-13 20:12:43,277 - mmseg - INFO - Iter [64800/160000] lr: 3.570e-05, eta: 6:29:48, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2311, decode.acc_seg: 90.3695, aux.loss_ce: 0.1357, aux.acc_seg: 86.7024, loss: 0.3667 2023-11-13 20:12:54,933 - mmseg - INFO - Iter [64850/160000] lr: 3.568e-05, eta: 6:29:35, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2343, decode.acc_seg: 90.3094, aux.loss_ce: 0.1319, aux.acc_seg: 87.1602, loss: 0.3663 2023-11-13 20:13:06,690 - mmseg - INFO - Iter [64900/160000] lr: 3.566e-05, eta: 6:29:22, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2421, decode.acc_seg: 90.2983, aux.loss_ce: 0.1369, aux.acc_seg: 87.0002, loss: 0.3790 2023-11-13 20:13:18,280 - mmseg - INFO - Iter [64950/160000] lr: 3.564e-05, eta: 6:29:08, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2303, decode.acc_seg: 90.3704, aux.loss_ce: 0.1320, aux.acc_seg: 87.2287, loss: 0.3623 2023-11-13 20:13:30,222 - mmseg - INFO - Saving checkpoint at 65000 iterations 2023-11-13 20:13:32,966 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:13:32,966 - mmseg - INFO - Iter [65000/160000] lr: 3.563e-05, eta: 6:29:00, time: 0.294, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2405, decode.acc_seg: 90.2941, aux.loss_ce: 0.1369, aux.acc_seg: 86.7163, loss: 0.3773 2023-11-13 20:13:44,613 - mmseg - INFO - Iter [65050/160000] lr: 3.561e-05, eta: 6:28:46, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2390, decode.acc_seg: 90.3326, aux.loss_ce: 0.1375, aux.acc_seg: 87.1372, loss: 0.3765 2023-11-13 20:13:56,346 - mmseg - INFO - Iter [65100/160000] lr: 3.559e-05, eta: 6:28:33, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2290, decode.acc_seg: 90.4717, aux.loss_ce: 0.1300, aux.acc_seg: 87.1529, loss: 0.3590 2023-11-13 20:14:09,254 - mmseg - INFO - Iter [65150/160000] lr: 3.557e-05, eta: 6:28:22, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2428, decode.acc_seg: 90.0818, aux.loss_ce: 0.1395, aux.acc_seg: 86.5137, loss: 0.3822 2023-11-13 20:14:20,866 - mmseg - INFO - Iter [65200/160000] lr: 3.555e-05, eta: 6:28:09, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2434, decode.acc_seg: 89.9941, aux.loss_ce: 0.1378, aux.acc_seg: 86.6728, loss: 0.3812 2023-11-13 20:14:32,467 - mmseg - INFO - Iter [65250/160000] lr: 3.553e-05, eta: 6:27:55, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2371, decode.acc_seg: 90.3089, aux.loss_ce: 0.1337, aux.acc_seg: 87.4072, loss: 0.3708 2023-11-13 20:14:44,049 - mmseg - INFO - Iter [65300/160000] lr: 3.551e-05, eta: 6:27:42, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2265, decode.acc_seg: 90.4569, aux.loss_ce: 0.1281, aux.acc_seg: 87.4731, loss: 0.3547 2023-11-13 20:14:55,933 - mmseg - INFO - Iter [65350/160000] lr: 3.549e-05, eta: 6:27:29, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2244, decode.acc_seg: 90.7029, aux.loss_ce: 0.1295, aux.acc_seg: 87.2512, loss: 0.3540 2023-11-13 20:15:07,560 - mmseg - INFO - Iter [65400/160000] lr: 3.548e-05, eta: 6:27:16, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2381, decode.acc_seg: 90.2716, aux.loss_ce: 0.1351, aux.acc_seg: 86.9850, loss: 0.3732 2023-11-13 20:15:19,155 - mmseg - INFO - Iter [65450/160000] lr: 3.546e-05, eta: 6:27:03, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2395, decode.acc_seg: 90.2575, aux.loss_ce: 0.1351, aux.acc_seg: 86.8553, loss: 0.3746 2023-11-13 20:15:31,008 - mmseg - INFO - Iter [65500/160000] lr: 3.544e-05, eta: 6:26:50, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2270, decode.acc_seg: 90.4205, aux.loss_ce: 0.1335, aux.acc_seg: 86.8486, loss: 0.3605 2023-11-13 20:15:44,027 - mmseg - INFO - Iter [65550/160000] lr: 3.542e-05, eta: 6:26:39, time: 0.260, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2381, decode.acc_seg: 90.1667, aux.loss_ce: 0.1311, aux.acc_seg: 87.1133, loss: 0.3692 2023-11-13 20:15:55,839 - mmseg - INFO - Iter [65600/160000] lr: 3.540e-05, eta: 6:26:26, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2257, decode.acc_seg: 90.5195, aux.loss_ce: 0.1289, aux.acc_seg: 87.3740, loss: 0.3545 2023-11-13 20:16:07,603 - mmseg - INFO - Iter [65650/160000] lr: 3.538e-05, eta: 6:26:13, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2454, decode.acc_seg: 89.7353, aux.loss_ce: 0.1401, aux.acc_seg: 86.1763, loss: 0.3855 2023-11-13 20:16:21,702 - mmseg - INFO - Iter [65700/160000] lr: 3.536e-05, eta: 6:26:03, time: 0.282, data_time: 0.048, memory: 5958, decode.loss_ce: 0.2266, decode.acc_seg: 90.5879, aux.loss_ce: 0.1283, aux.acc_seg: 87.5137, loss: 0.3550 2023-11-13 20:16:33,981 - mmseg - INFO - Iter [65750/160000] lr: 3.534e-05, eta: 6:25:51, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2484, decode.acc_seg: 89.4553, aux.loss_ce: 0.1391, aux.acc_seg: 86.0470, loss: 0.3875 2023-11-13 20:16:45,925 - mmseg - INFO - Iter [65800/160000] lr: 3.533e-05, eta: 6:25:38, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2310, decode.acc_seg: 90.5725, aux.loss_ce: 0.1315, aux.acc_seg: 87.2710, loss: 0.3625 2023-11-13 20:16:58,125 - mmseg - INFO - Iter [65850/160000] lr: 3.531e-05, eta: 6:25:26, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2403, decode.acc_seg: 90.0930, aux.loss_ce: 0.1359, aux.acc_seg: 86.8231, loss: 0.3762 2023-11-13 20:17:10,155 - mmseg - INFO - Iter [65900/160000] lr: 3.529e-05, eta: 6:25:13, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2266, decode.acc_seg: 90.6327, aux.loss_ce: 0.1323, aux.acc_seg: 87.2345, loss: 0.3589 2023-11-13 20:17:21,925 - mmseg - INFO - Iter [65950/160000] lr: 3.527e-05, eta: 6:25:00, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2243, decode.acc_seg: 90.6043, aux.loss_ce: 0.1332, aux.acc_seg: 86.7189, loss: 0.3576 2023-11-13 20:17:33,690 - mmseg - INFO - Saving checkpoint at 66000 iterations 2023-11-13 20:17:36,253 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:17:36,253 - mmseg - INFO - Iter [66000/160000] lr: 3.525e-05, eta: 6:24:51, time: 0.287, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2258, decode.acc_seg: 90.9072, aux.loss_ce: 0.1325, aux.acc_seg: 87.5610, loss: 0.3583 2023-11-13 20:17:49,518 - mmseg - INFO - Iter [66050/160000] lr: 3.523e-05, eta: 6:24:40, time: 0.265, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2329, decode.acc_seg: 90.1635, aux.loss_ce: 0.1306, aux.acc_seg: 87.1547, loss: 0.3635 2023-11-13 20:18:02,129 - mmseg - INFO - Iter [66100/160000] lr: 3.521e-05, eta: 6:24:28, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2400, decode.acc_seg: 89.9978, aux.loss_ce: 0.1347, aux.acc_seg: 86.7931, loss: 0.3746 2023-11-13 20:18:13,887 - mmseg - INFO - Iter [66150/160000] lr: 3.519e-05, eta: 6:24:15, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2366, decode.acc_seg: 90.2489, aux.loss_ce: 0.1344, aux.acc_seg: 86.8186, loss: 0.3711 2023-11-13 20:18:25,670 - mmseg - INFO - Iter [66200/160000] lr: 3.518e-05, eta: 6:24:02, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2366, decode.acc_seg: 90.3675, aux.loss_ce: 0.1338, aux.acc_seg: 87.0569, loss: 0.3704 2023-11-13 20:18:37,351 - mmseg - INFO - Iter [66250/160000] lr: 3.516e-05, eta: 6:23:49, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2494, decode.acc_seg: 90.0364, aux.loss_ce: 0.1372, aux.acc_seg: 86.9225, loss: 0.3866 2023-11-13 20:18:49,251 - mmseg - INFO - Iter [66300/160000] lr: 3.514e-05, eta: 6:23:36, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2448, decode.acc_seg: 89.8783, aux.loss_ce: 0.1390, aux.acc_seg: 86.6474, loss: 0.3838 2023-11-13 20:19:01,006 - mmseg - INFO - Iter [66350/160000] lr: 3.512e-05, eta: 6:23:23, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2275, decode.acc_seg: 90.7897, aux.loss_ce: 0.1271, aux.acc_seg: 87.7156, loss: 0.3546 2023-11-13 20:19:12,831 - mmseg - INFO - Iter [66400/160000] lr: 3.510e-05, eta: 6:23:10, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2311, decode.acc_seg: 90.2697, aux.loss_ce: 0.1335, aux.acc_seg: 86.8669, loss: 0.3646 2023-11-13 20:19:25,382 - mmseg - INFO - Iter [66450/160000] lr: 3.508e-05, eta: 6:22:58, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2455, decode.acc_seg: 89.8693, aux.loss_ce: 0.1386, aux.acc_seg: 86.6117, loss: 0.3841 2023-11-13 20:19:37,370 - mmseg - INFO - Iter [66500/160000] lr: 3.506e-05, eta: 6:22:45, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2331, decode.acc_seg: 90.6474, aux.loss_ce: 0.1338, aux.acc_seg: 87.1911, loss: 0.3669 2023-11-13 20:19:49,501 - mmseg - INFO - Iter [66550/160000] lr: 3.504e-05, eta: 6:22:33, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2315, decode.acc_seg: 90.4392, aux.loss_ce: 0.1296, aux.acc_seg: 87.7829, loss: 0.3611 2023-11-13 20:20:02,660 - mmseg - INFO - Iter [66600/160000] lr: 3.503e-05, eta: 6:22:22, time: 0.263, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2353, decode.acc_seg: 90.4601, aux.loss_ce: 0.1333, aux.acc_seg: 87.2366, loss: 0.3686 2023-11-13 20:20:14,366 - mmseg - INFO - Iter [66650/160000] lr: 3.501e-05, eta: 6:22:09, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2317, decode.acc_seg: 90.5074, aux.loss_ce: 0.1328, aux.acc_seg: 86.9872, loss: 0.3645 2023-11-13 20:20:26,060 - mmseg - INFO - Iter [66700/160000] lr: 3.499e-05, eta: 6:21:56, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2389, decode.acc_seg: 90.1212, aux.loss_ce: 0.1344, aux.acc_seg: 86.8810, loss: 0.3733 2023-11-13 20:20:37,822 - mmseg - INFO - Iter [66750/160000] lr: 3.497e-05, eta: 6:21:43, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2321, decode.acc_seg: 90.4462, aux.loss_ce: 0.1314, aux.acc_seg: 87.3928, loss: 0.3635 2023-11-13 20:20:49,754 - mmseg - INFO - Iter [66800/160000] lr: 3.495e-05, eta: 6:21:30, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2265, decode.acc_seg: 90.6560, aux.loss_ce: 0.1300, aux.acc_seg: 87.3465, loss: 0.3565 2023-11-13 20:21:01,363 - mmseg - INFO - Iter [66850/160000] lr: 3.493e-05, eta: 6:21:17, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2489, decode.acc_seg: 89.9645, aux.loss_ce: 0.1405, aux.acc_seg: 86.5153, loss: 0.3894 2023-11-13 20:21:13,029 - mmseg - INFO - Iter [66900/160000] lr: 3.491e-05, eta: 6:21:03, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2309, decode.acc_seg: 90.3774, aux.loss_ce: 0.1316, aux.acc_seg: 87.1717, loss: 0.3626 2023-11-13 20:21:26,914 - mmseg - INFO - Iter [66950/160000] lr: 3.489e-05, eta: 6:20:53, time: 0.278, data_time: 0.048, memory: 5958, decode.loss_ce: 0.2361, decode.acc_seg: 90.3634, aux.loss_ce: 0.1389, aux.acc_seg: 86.9537, loss: 0.3750 2023-11-13 20:21:38,580 - mmseg - INFO - Saving checkpoint at 67000 iterations 2023-11-13 20:21:41,136 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:21:41,136 - mmseg - INFO - Iter [67000/160000] lr: 3.488e-05, eta: 6:20:44, time: 0.284, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2331, decode.acc_seg: 90.4121, aux.loss_ce: 0.1371, aux.acc_seg: 86.8131, loss: 0.3702 2023-11-13 20:21:52,959 - mmseg - INFO - Iter [67050/160000] lr: 3.486e-05, eta: 6:20:31, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2230, decode.acc_seg: 90.6957, aux.loss_ce: 0.1268, aux.acc_seg: 87.4437, loss: 0.3498 2023-11-13 20:22:04,774 - mmseg - INFO - Iter [67100/160000] lr: 3.484e-05, eta: 6:20:18, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2190, decode.acc_seg: 90.9383, aux.loss_ce: 0.1306, aux.acc_seg: 87.4066, loss: 0.3496 2023-11-13 20:22:17,434 - mmseg - INFO - Iter [67150/160000] lr: 3.482e-05, eta: 6:20:06, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2341, decode.acc_seg: 90.4040, aux.loss_ce: 0.1322, aux.acc_seg: 87.1513, loss: 0.3664 2023-11-13 20:22:29,888 - mmseg - INFO - Iter [67200/160000] lr: 3.480e-05, eta: 6:19:54, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2234, decode.acc_seg: 90.6798, aux.loss_ce: 0.1280, aux.acc_seg: 87.6145, loss: 0.3514 2023-11-13 20:22:43,008 - mmseg - INFO - Iter [67250/160000] lr: 3.478e-05, eta: 6:19:43, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2321, decode.acc_seg: 90.4454, aux.loss_ce: 0.1312, aux.acc_seg: 87.2158, loss: 0.3633 2023-11-13 20:22:55,258 - mmseg - INFO - Iter [67300/160000] lr: 3.476e-05, eta: 6:19:31, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2353, decode.acc_seg: 90.3042, aux.loss_ce: 0.1368, aux.acc_seg: 86.8679, loss: 0.3721 2023-11-13 20:23:06,963 - mmseg - INFO - Iter [67350/160000] lr: 3.474e-05, eta: 6:19:18, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2240, decode.acc_seg: 90.5619, aux.loss_ce: 0.1310, aux.acc_seg: 87.2297, loss: 0.3550 2023-11-13 20:23:18,606 - mmseg - INFO - Iter [67400/160000] lr: 3.473e-05, eta: 6:19:04, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2211, decode.acc_seg: 90.8406, aux.loss_ce: 0.1284, aux.acc_seg: 87.5108, loss: 0.3496 2023-11-13 20:23:31,350 - mmseg - INFO - Iter [67450/160000] lr: 3.471e-05, eta: 6:18:53, time: 0.255, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2259, decode.acc_seg: 90.9159, aux.loss_ce: 0.1318, aux.acc_seg: 87.4424, loss: 0.3577 2023-11-13 20:23:43,106 - mmseg - INFO - Iter [67500/160000] lr: 3.469e-05, eta: 6:18:40, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2332, decode.acc_seg: 90.6265, aux.loss_ce: 0.1327, aux.acc_seg: 87.0964, loss: 0.3659 2023-11-13 20:23:54,761 - mmseg - INFO - Iter [67550/160000] lr: 3.467e-05, eta: 6:18:27, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2238, decode.acc_seg: 90.8124, aux.loss_ce: 0.1274, aux.acc_seg: 87.6096, loss: 0.3512 2023-11-13 20:24:06,464 - mmseg - INFO - Iter [67600/160000] lr: 3.465e-05, eta: 6:18:14, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2187, decode.acc_seg: 91.2718, aux.loss_ce: 0.1265, aux.acc_seg: 87.7822, loss: 0.3452 2023-11-13 20:24:18,078 - mmseg - INFO - Iter [67650/160000] lr: 3.463e-05, eta: 6:18:00, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2222, decode.acc_seg: 90.7350, aux.loss_ce: 0.1311, aux.acc_seg: 87.1888, loss: 0.3533 2023-11-13 20:24:29,810 - mmseg - INFO - Iter [67700/160000] lr: 3.461e-05, eta: 6:17:47, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2380, decode.acc_seg: 90.3872, aux.loss_ce: 0.1313, aux.acc_seg: 87.4105, loss: 0.3694 2023-11-13 20:24:42,201 - mmseg - INFO - Iter [67750/160000] lr: 3.459e-05, eta: 6:17:35, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2233, decode.acc_seg: 90.8308, aux.loss_ce: 0.1288, aux.acc_seg: 87.4986, loss: 0.3522 2023-11-13 20:24:54,018 - mmseg - INFO - Iter [67800/160000] lr: 3.458e-05, eta: 6:17:22, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2417, decode.acc_seg: 90.0194, aux.loss_ce: 0.1362, aux.acc_seg: 86.7883, loss: 0.3779 2023-11-13 20:25:06,969 - mmseg - INFO - Iter [67850/160000] lr: 3.456e-05, eta: 6:17:11, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2262, decode.acc_seg: 90.6671, aux.loss_ce: 0.1296, aux.acc_seg: 87.5562, loss: 0.3558 2023-11-13 20:25:18,706 - mmseg - INFO - Iter [67900/160000] lr: 3.454e-05, eta: 6:16:58, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2385, decode.acc_seg: 90.5385, aux.loss_ce: 0.1336, aux.acc_seg: 87.3890, loss: 0.3721 2023-11-13 20:25:30,748 - mmseg - INFO - Iter [67950/160000] lr: 3.452e-05, eta: 6:16:45, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2491, decode.acc_seg: 89.8157, aux.loss_ce: 0.1454, aux.acc_seg: 86.4143, loss: 0.3945 2023-11-13 20:25:42,361 - mmseg - INFO - Saving checkpoint at 68000 iterations 2023-11-13 20:25:44,933 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:25:44,933 - mmseg - INFO - Iter [68000/160000] lr: 3.450e-05, eta: 6:16:36, time: 0.284, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2306, decode.acc_seg: 90.2045, aux.loss_ce: 0.1315, aux.acc_seg: 87.1400, loss: 0.3621 2023-11-13 20:25:56,639 - mmseg - INFO - Iter [68050/160000] lr: 3.448e-05, eta: 6:16:23, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2387, decode.acc_seg: 90.3562, aux.loss_ce: 0.1375, aux.acc_seg: 86.9803, loss: 0.3762 2023-11-13 20:26:08,300 - mmseg - INFO - Iter [68100/160000] lr: 3.446e-05, eta: 6:16:09, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2465, decode.acc_seg: 89.7179, aux.loss_ce: 0.1365, aux.acc_seg: 86.6900, loss: 0.3830 2023-11-13 20:26:20,402 - mmseg - INFO - Iter [68150/160000] lr: 3.444e-05, eta: 6:15:57, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2394, decode.acc_seg: 90.3723, aux.loss_ce: 0.1358, aux.acc_seg: 87.3817, loss: 0.3752 2023-11-13 20:26:32,080 - mmseg - INFO - Iter [68200/160000] lr: 3.443e-05, eta: 6:15:44, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2446, decode.acc_seg: 89.7655, aux.loss_ce: 0.1369, aux.acc_seg: 86.5941, loss: 0.3815 2023-11-13 20:26:46,154 - mmseg - INFO - Iter [68250/160000] lr: 3.441e-05, eta: 6:15:34, time: 0.282, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2249, decode.acc_seg: 90.6427, aux.loss_ce: 0.1267, aux.acc_seg: 87.5238, loss: 0.3516 2023-11-13 20:26:58,031 - mmseg - INFO - Iter [68300/160000] lr: 3.439e-05, eta: 6:15:21, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2292, decode.acc_seg: 90.6725, aux.loss_ce: 0.1282, aux.acc_seg: 87.5004, loss: 0.3574 2023-11-13 20:27:10,091 - mmseg - INFO - Iter [68350/160000] lr: 3.437e-05, eta: 6:15:09, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2265, decode.acc_seg: 90.6044, aux.loss_ce: 0.1318, aux.acc_seg: 87.2164, loss: 0.3583 2023-11-13 20:27:21,760 - mmseg - INFO - Iter [68400/160000] lr: 3.435e-05, eta: 6:14:56, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2302, decode.acc_seg: 90.6127, aux.loss_ce: 0.1332, aux.acc_seg: 87.1666, loss: 0.3633 2023-11-13 20:27:35,300 - mmseg - INFO - Iter [68450/160000] lr: 3.433e-05, eta: 6:14:45, time: 0.270, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2190, decode.acc_seg: 90.9610, aux.loss_ce: 0.1267, aux.acc_seg: 87.8195, loss: 0.3457 2023-11-13 20:27:47,905 - mmseg - INFO - Iter [68500/160000] lr: 3.431e-05, eta: 6:14:33, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2332, decode.acc_seg: 90.6115, aux.loss_ce: 0.1322, aux.acc_seg: 87.5586, loss: 0.3654 2023-11-13 20:27:59,869 - mmseg - INFO - Iter [68550/160000] lr: 3.429e-05, eta: 6:14:20, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2275, decode.acc_seg: 90.3051, aux.loss_ce: 0.1272, aux.acc_seg: 87.2746, loss: 0.3548 2023-11-13 20:28:11,529 - mmseg - INFO - Iter [68600/160000] lr: 3.428e-05, eta: 6:14:07, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2364, decode.acc_seg: 90.2310, aux.loss_ce: 0.1306, aux.acc_seg: 87.1921, loss: 0.3670 2023-11-13 20:28:23,093 - mmseg - INFO - Iter [68650/160000] lr: 3.426e-05, eta: 6:13:54, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2299, decode.acc_seg: 90.5062, aux.loss_ce: 0.1306, aux.acc_seg: 87.3635, loss: 0.3605 2023-11-13 20:28:35,234 - mmseg - INFO - Iter [68700/160000] lr: 3.424e-05, eta: 6:13:42, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2240, decode.acc_seg: 91.0318, aux.loss_ce: 0.1285, aux.acc_seg: 87.7166, loss: 0.3524 2023-11-13 20:28:47,588 - mmseg - INFO - Iter [68750/160000] lr: 3.422e-05, eta: 6:13:29, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2213, decode.acc_seg: 90.6828, aux.loss_ce: 0.1270, aux.acc_seg: 87.6481, loss: 0.3483 2023-11-13 20:28:59,238 - mmseg - INFO - Iter [68800/160000] lr: 3.420e-05, eta: 6:13:16, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2162, decode.acc_seg: 90.9929, aux.loss_ce: 0.1245, aux.acc_seg: 87.9771, loss: 0.3407 2023-11-13 20:29:11,470 - mmseg - INFO - Iter [68850/160000] lr: 3.418e-05, eta: 6:13:04, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2268, decode.acc_seg: 90.4729, aux.loss_ce: 0.1273, aux.acc_seg: 87.6036, loss: 0.3542 2023-11-13 20:29:24,683 - mmseg - INFO - Iter [68900/160000] lr: 3.416e-05, eta: 6:12:53, time: 0.264, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2342, decode.acc_seg: 90.4411, aux.loss_ce: 0.1339, aux.acc_seg: 86.9922, loss: 0.3681 2023-11-13 20:29:36,966 - mmseg - INFO - Iter [68950/160000] lr: 3.414e-05, eta: 6:12:41, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2262, decode.acc_seg: 90.5865, aux.loss_ce: 0.1271, aux.acc_seg: 87.6775, loss: 0.3533 2023-11-13 20:29:48,706 - mmseg - INFO - Saving checkpoint at 69000 iterations 2023-11-13 20:29:51,190 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:29:51,191 - mmseg - INFO - Iter [69000/160000] lr: 3.413e-05, eta: 6:12:31, time: 0.284, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2213, decode.acc_seg: 90.6440, aux.loss_ce: 0.1325, aux.acc_seg: 87.1109, loss: 0.3538 2023-11-13 20:30:03,035 - mmseg - INFO - Iter [69050/160000] lr: 3.411e-05, eta: 6:12:18, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2229, decode.acc_seg: 90.7449, aux.loss_ce: 0.1279, aux.acc_seg: 87.7877, loss: 0.3508 2023-11-13 20:30:15,240 - mmseg - INFO - Iter [69100/160000] lr: 3.409e-05, eta: 6:12:06, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2315, decode.acc_seg: 90.4959, aux.loss_ce: 0.1334, aux.acc_seg: 87.3289, loss: 0.3649 2023-11-13 20:30:27,237 - mmseg - INFO - Iter [69150/160000] lr: 3.407e-05, eta: 6:11:53, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2319, decode.acc_seg: 90.4088, aux.loss_ce: 0.1342, aux.acc_seg: 87.2231, loss: 0.3661 2023-11-13 20:30:39,543 - mmseg - INFO - Iter [69200/160000] lr: 3.405e-05, eta: 6:11:41, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2273, decode.acc_seg: 90.8735, aux.loss_ce: 0.1297, aux.acc_seg: 87.4996, loss: 0.3570 2023-11-13 20:30:51,259 - mmseg - INFO - Iter [69250/160000] lr: 3.403e-05, eta: 6:11:28, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2306, decode.acc_seg: 90.3601, aux.loss_ce: 0.1337, aux.acc_seg: 86.8932, loss: 0.3643 2023-11-13 20:31:04,485 - mmseg - INFO - Iter [69300/160000] lr: 3.401e-05, eta: 6:11:17, time: 0.265, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2299, decode.acc_seg: 90.6838, aux.loss_ce: 0.1289, aux.acc_seg: 87.7274, loss: 0.3589 2023-11-13 20:31:16,116 - mmseg - INFO - Iter [69350/160000] lr: 3.399e-05, eta: 6:11:04, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2315, decode.acc_seg: 90.5076, aux.loss_ce: 0.1306, aux.acc_seg: 87.5136, loss: 0.3622 2023-11-13 20:31:29,115 - mmseg - INFO - Iter [69400/160000] lr: 3.398e-05, eta: 6:10:52, time: 0.260, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2233, decode.acc_seg: 90.6863, aux.loss_ce: 0.1345, aux.acc_seg: 86.8826, loss: 0.3578 2023-11-13 20:31:40,970 - mmseg - INFO - Iter [69450/160000] lr: 3.396e-05, eta: 6:10:39, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2323, decode.acc_seg: 90.3384, aux.loss_ce: 0.1343, aux.acc_seg: 86.9295, loss: 0.3666 2023-11-13 20:31:54,951 - mmseg - INFO - Iter [69500/160000] lr: 3.394e-05, eta: 6:10:29, time: 0.280, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2208, decode.acc_seg: 90.9085, aux.loss_ce: 0.1217, aux.acc_seg: 88.0171, loss: 0.3425 2023-11-13 20:32:06,837 - mmseg - INFO - Iter [69550/160000] lr: 3.392e-05, eta: 6:10:16, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2437, decode.acc_seg: 90.2736, aux.loss_ce: 0.1419, aux.acc_seg: 86.3345, loss: 0.3856 2023-11-13 20:32:18,744 - mmseg - INFO - Iter [69600/160000] lr: 3.390e-05, eta: 6:10:04, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2178, decode.acc_seg: 91.0657, aux.loss_ce: 0.1210, aux.acc_seg: 88.1500, loss: 0.3388 2023-11-13 20:32:30,321 - mmseg - INFO - Iter [69650/160000] lr: 3.388e-05, eta: 6:09:51, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2189, decode.acc_seg: 91.0915, aux.loss_ce: 0.1272, aux.acc_seg: 87.7429, loss: 0.3461 2023-11-13 20:32:43,385 - mmseg - INFO - Iter [69700/160000] lr: 3.386e-05, eta: 6:09:39, time: 0.261, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2220, decode.acc_seg: 91.2169, aux.loss_ce: 0.1245, aux.acc_seg: 88.1671, loss: 0.3465 2023-11-13 20:32:55,067 - mmseg - INFO - Iter [69750/160000] lr: 3.384e-05, eta: 6:09:26, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2360, decode.acc_seg: 90.3783, aux.loss_ce: 0.1345, aux.acc_seg: 87.0790, loss: 0.3706 2023-11-13 20:33:06,770 - mmseg - INFO - Iter [69800/160000] lr: 3.383e-05, eta: 6:09:13, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2313, decode.acc_seg: 90.4333, aux.loss_ce: 0.1324, aux.acc_seg: 86.9867, loss: 0.3637 2023-11-13 20:33:18,444 - mmseg - INFO - Iter [69850/160000] lr: 3.381e-05, eta: 6:09:00, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2270, decode.acc_seg: 90.6378, aux.loss_ce: 0.1300, aux.acc_seg: 87.3804, loss: 0.3570 2023-11-13 20:33:30,520 - mmseg - INFO - Iter [69900/160000] lr: 3.379e-05, eta: 6:08:48, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2277, decode.acc_seg: 90.8128, aux.loss_ce: 0.1311, aux.acc_seg: 87.4828, loss: 0.3588 2023-11-13 20:33:42,887 - mmseg - INFO - Iter [69950/160000] lr: 3.377e-05, eta: 6:08:35, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2239, decode.acc_seg: 90.9705, aux.loss_ce: 0.1298, aux.acc_seg: 87.6760, loss: 0.3537 2023-11-13 20:33:54,506 - mmseg - INFO - Saving checkpoint at 70000 iterations 2023-11-13 20:33:57,134 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:33:57,135 - mmseg - INFO - Iter [70000/160000] lr: 3.375e-05, eta: 6:08:26, time: 0.285, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2179, decode.acc_seg: 90.9320, aux.loss_ce: 0.1255, aux.acc_seg: 87.7227, loss: 0.3435 2023-11-13 20:34:09,096 - mmseg - INFO - Iter [70050/160000] lr: 3.373e-05, eta: 6:08:13, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2141, decode.acc_seg: 91.2718, aux.loss_ce: 0.1254, aux.acc_seg: 87.8315, loss: 0.3394 2023-11-13 20:34:20,765 - mmseg - INFO - Iter [70100/160000] lr: 3.371e-05, eta: 6:08:00, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2297, decode.acc_seg: 90.1214, aux.loss_ce: 0.1301, aux.acc_seg: 86.9501, loss: 0.3598 2023-11-13 20:34:32,640 - mmseg - INFO - Iter [70150/160000] lr: 3.369e-05, eta: 6:07:47, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2278, decode.acc_seg: 90.2847, aux.loss_ce: 0.1301, aux.acc_seg: 86.9948, loss: 0.3579 2023-11-13 20:34:44,564 - mmseg - INFO - Iter [70200/160000] lr: 3.368e-05, eta: 6:07:34, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2138, decode.acc_seg: 90.9907, aux.loss_ce: 0.1231, aux.acc_seg: 87.9029, loss: 0.3368 2023-11-13 20:34:57,099 - mmseg - INFO - Iter [70250/160000] lr: 3.366e-05, eta: 6:07:22, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2351, decode.acc_seg: 90.2712, aux.loss_ce: 0.1361, aux.acc_seg: 86.8129, loss: 0.3711 2023-11-13 20:35:09,430 - mmseg - INFO - Iter [70300/160000] lr: 3.364e-05, eta: 6:07:10, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2286, decode.acc_seg: 90.4215, aux.loss_ce: 0.1325, aux.acc_seg: 87.0106, loss: 0.3611 2023-11-13 20:35:22,600 - mmseg - INFO - Iter [70350/160000] lr: 3.362e-05, eta: 6:06:59, time: 0.264, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2242, decode.acc_seg: 90.7054, aux.loss_ce: 0.1297, aux.acc_seg: 87.6129, loss: 0.3539 2023-11-13 20:35:34,567 - mmseg - INFO - Iter [70400/160000] lr: 3.360e-05, eta: 6:06:46, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2296, decode.acc_seg: 90.4331, aux.loss_ce: 0.1319, aux.acc_seg: 87.0293, loss: 0.3614 2023-11-13 20:35:46,828 - mmseg - INFO - Iter [70450/160000] lr: 3.358e-05, eta: 6:06:34, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2265, decode.acc_seg: 90.4785, aux.loss_ce: 0.1313, aux.acc_seg: 87.1554, loss: 0.3578 2023-11-13 20:35:59,046 - mmseg - INFO - Iter [70500/160000] lr: 3.356e-05, eta: 6:06:22, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2307, decode.acc_seg: 90.3436, aux.loss_ce: 0.1319, aux.acc_seg: 86.8505, loss: 0.3626 2023-11-13 20:36:10,811 - mmseg - INFO - Iter [70550/160000] lr: 3.354e-05, eta: 6:06:09, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2188, decode.acc_seg: 90.8739, aux.loss_ce: 0.1269, aux.acc_seg: 87.7048, loss: 0.3458 2023-11-13 20:36:22,716 - mmseg - INFO - Iter [70600/160000] lr: 3.353e-05, eta: 6:05:56, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2415, decode.acc_seg: 90.1302, aux.loss_ce: 0.1397, aux.acc_seg: 86.7108, loss: 0.3811 2023-11-13 20:36:34,504 - mmseg - INFO - Iter [70650/160000] lr: 3.351e-05, eta: 6:05:43, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2285, decode.acc_seg: 90.2943, aux.loss_ce: 0.1325, aux.acc_seg: 86.9409, loss: 0.3610 2023-11-13 20:36:46,213 - mmseg - INFO - Iter [70700/160000] lr: 3.349e-05, eta: 6:05:30, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2273, decode.acc_seg: 90.6720, aux.loss_ce: 0.1346, aux.acc_seg: 86.6952, loss: 0.3619 2023-11-13 20:37:00,163 - mmseg - INFO - Iter [70750/160000] lr: 3.347e-05, eta: 6:05:20, time: 0.279, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2235, decode.acc_seg: 90.8078, aux.loss_ce: 0.1307, aux.acc_seg: 87.4132, loss: 0.3542 2023-11-13 20:37:12,479 - mmseg - INFO - Iter [70800/160000] lr: 3.345e-05, eta: 6:05:08, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2261, decode.acc_seg: 90.5898, aux.loss_ce: 0.1300, aux.acc_seg: 87.2438, loss: 0.3561 2023-11-13 20:37:24,110 - mmseg - INFO - Iter [70850/160000] lr: 3.343e-05, eta: 6:04:55, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2248, decode.acc_seg: 90.6970, aux.loss_ce: 0.1315, aux.acc_seg: 87.1629, loss: 0.3563 2023-11-13 20:37:35,890 - mmseg - INFO - Iter [70900/160000] lr: 3.341e-05, eta: 6:04:42, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2026, decode.acc_seg: 91.4801, aux.loss_ce: 0.1138, aux.acc_seg: 88.8263, loss: 0.3163 2023-11-13 20:37:48,150 - mmseg - INFO - Iter [70950/160000] lr: 3.339e-05, eta: 6:04:29, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2330, decode.acc_seg: 90.6034, aux.loss_ce: 0.1317, aux.acc_seg: 87.6621, loss: 0.3647 2023-11-13 20:38:01,087 - mmseg - INFO - Saving checkpoint at 71000 iterations 2023-11-13 20:38:03,711 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:38:03,711 - mmseg - INFO - Iter [71000/160000] lr: 3.338e-05, eta: 6:04:21, time: 0.311, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2142, decode.acc_seg: 91.0676, aux.loss_ce: 0.1240, aux.acc_seg: 88.0187, loss: 0.3382 2023-11-13 20:38:15,448 - mmseg - INFO - Iter [71050/160000] lr: 3.336e-05, eta: 6:04:08, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2191, decode.acc_seg: 90.7617, aux.loss_ce: 0.1282, aux.acc_seg: 87.2472, loss: 0.3472 2023-11-13 20:38:27,040 - mmseg - INFO - Iter [71100/160000] lr: 3.334e-05, eta: 6:03:55, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2214, decode.acc_seg: 90.8772, aux.loss_ce: 0.1309, aux.acc_seg: 87.5653, loss: 0.3523 2023-11-13 20:38:38,654 - mmseg - INFO - Iter [71150/160000] lr: 3.332e-05, eta: 6:03:42, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2291, decode.acc_seg: 90.4217, aux.loss_ce: 0.1304, aux.acc_seg: 87.4416, loss: 0.3595 2023-11-13 20:38:52,471 - mmseg - INFO - Iter [71200/160000] lr: 3.330e-05, eta: 6:03:32, time: 0.276, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2072, decode.acc_seg: 91.3469, aux.loss_ce: 0.1222, aux.acc_seg: 88.0552, loss: 0.3295 2023-11-13 20:39:04,901 - mmseg - INFO - Iter [71250/160000] lr: 3.328e-05, eta: 6:03:20, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2372, decode.acc_seg: 90.2140, aux.loss_ce: 0.1366, aux.acc_seg: 87.0837, loss: 0.3738 2023-11-13 20:39:16,560 - mmseg - INFO - Iter [71300/160000] lr: 3.326e-05, eta: 6:03:07, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2306, decode.acc_seg: 90.8419, aux.loss_ce: 0.1342, aux.acc_seg: 87.2223, loss: 0.3647 2023-11-13 20:39:28,994 - mmseg - INFO - Iter [71350/160000] lr: 3.324e-05, eta: 6:02:54, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2275, decode.acc_seg: 90.5650, aux.loss_ce: 0.1309, aux.acc_seg: 87.0055, loss: 0.3583 2023-11-13 20:39:41,298 - mmseg - INFO - Iter [71400/160000] lr: 3.323e-05, eta: 6:02:42, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2131, decode.acc_seg: 90.8400, aux.loss_ce: 0.1217, aux.acc_seg: 87.9855, loss: 0.3348 2023-11-13 20:39:53,628 - mmseg - INFO - Iter [71450/160000] lr: 3.321e-05, eta: 6:02:30, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2220, decode.acc_seg: 90.8487, aux.loss_ce: 0.1240, aux.acc_seg: 88.2128, loss: 0.3460 2023-11-13 20:40:05,202 - mmseg - INFO - Iter [71500/160000] lr: 3.319e-05, eta: 6:02:17, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2289, decode.acc_seg: 90.4621, aux.loss_ce: 0.1262, aux.acc_seg: 87.6758, loss: 0.3551 2023-11-13 20:40:16,814 - mmseg - INFO - Iter [71550/160000] lr: 3.317e-05, eta: 6:02:04, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2308, decode.acc_seg: 90.5151, aux.loss_ce: 0.1321, aux.acc_seg: 87.2102, loss: 0.3629 2023-11-13 20:40:28,962 - mmseg - INFO - Iter [71600/160000] lr: 3.315e-05, eta: 6:01:51, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2257, decode.acc_seg: 90.5175, aux.loss_ce: 0.1287, aux.acc_seg: 87.5165, loss: 0.3544 2023-11-13 20:40:40,673 - mmseg - INFO - Iter [71650/160000] lr: 3.313e-05, eta: 6:01:38, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2137, decode.acc_seg: 91.2137, aux.loss_ce: 0.1203, aux.acc_seg: 88.5091, loss: 0.3340 2023-11-13 20:40:52,564 - mmseg - INFO - Iter [71700/160000] lr: 3.311e-05, eta: 6:01:25, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2066, decode.acc_seg: 91.2901, aux.loss_ce: 0.1206, aux.acc_seg: 88.0434, loss: 0.3272 2023-11-13 20:41:05,159 - mmseg - INFO - Iter [71750/160000] lr: 3.309e-05, eta: 6:01:14, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2237, decode.acc_seg: 90.9473, aux.loss_ce: 0.1258, aux.acc_seg: 87.9858, loss: 0.3496 2023-11-13 20:41:17,678 - mmseg - INFO - Iter [71800/160000] lr: 3.308e-05, eta: 6:01:02, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2274, decode.acc_seg: 90.5192, aux.loss_ce: 0.1319, aux.acc_seg: 87.1681, loss: 0.3593 2023-11-13 20:41:29,462 - mmseg - INFO - Iter [71850/160000] lr: 3.306e-05, eta: 6:00:49, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2128, decode.acc_seg: 91.4557, aux.loss_ce: 0.1271, aux.acc_seg: 87.9798, loss: 0.3399 2023-11-13 20:41:41,211 - mmseg - INFO - Iter [71900/160000] lr: 3.304e-05, eta: 6:00:36, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2137, decode.acc_seg: 91.1988, aux.loss_ce: 0.1246, aux.acc_seg: 87.9222, loss: 0.3382 2023-11-13 20:41:54,048 - mmseg - INFO - Iter [71950/160000] lr: 3.302e-05, eta: 6:00:24, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2535, decode.acc_seg: 89.9358, aux.loss_ce: 0.1402, aux.acc_seg: 86.8059, loss: 0.3937 2023-11-13 20:42:08,109 - mmseg - INFO - Saving checkpoint at 72000 iterations 2023-11-13 20:42:10,923 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:42:10,923 - mmseg - INFO - Iter [72000/160000] lr: 3.300e-05, eta: 6:00:18, time: 0.338, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2374, decode.acc_seg: 90.5328, aux.loss_ce: 0.1325, aux.acc_seg: 87.4719, loss: 0.3699 2023-11-13 20:42:24,909 - mmseg - INFO - Iter [72050/160000] lr: 3.298e-05, eta: 6:00:07, time: 0.280, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2253, decode.acc_seg: 90.5397, aux.loss_ce: 0.1250, aux.acc_seg: 87.6040, loss: 0.3502 2023-11-13 20:42:37,796 - mmseg - INFO - Iter [72100/160000] lr: 3.296e-05, eta: 5:59:56, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2184, decode.acc_seg: 90.9301, aux.loss_ce: 0.1230, aux.acc_seg: 87.9516, loss: 0.3414 2023-11-13 20:42:49,418 - mmseg - INFO - Iter [72150/160000] lr: 3.294e-05, eta: 5:59:43, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2156, decode.acc_seg: 91.2108, aux.loss_ce: 0.1282, aux.acc_seg: 87.6007, loss: 0.3438 2023-11-13 20:43:01,661 - mmseg - INFO - Iter [72200/160000] lr: 3.293e-05, eta: 5:59:30, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2190, decode.acc_seg: 90.8533, aux.loss_ce: 0.1285, aux.acc_seg: 87.4683, loss: 0.3475 2023-11-13 20:43:13,461 - mmseg - INFO - Iter [72250/160000] lr: 3.291e-05, eta: 5:59:17, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2293, decode.acc_seg: 90.5552, aux.loss_ce: 0.1352, aux.acc_seg: 86.9707, loss: 0.3644 2023-11-13 20:43:25,557 - mmseg - INFO - Iter [72300/160000] lr: 3.289e-05, eta: 5:59:05, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2250, decode.acc_seg: 90.8389, aux.loss_ce: 0.1287, aux.acc_seg: 87.7259, loss: 0.3538 2023-11-13 20:43:37,167 - mmseg - INFO - Iter [72350/160000] lr: 3.287e-05, eta: 5:58:52, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2167, decode.acc_seg: 91.0617, aux.loss_ce: 0.1227, aux.acc_seg: 88.1000, loss: 0.3393 2023-11-13 20:43:49,001 - mmseg - INFO - Iter [72400/160000] lr: 3.285e-05, eta: 5:58:39, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2113, decode.acc_seg: 91.2457, aux.loss_ce: 0.1225, aux.acc_seg: 88.0203, loss: 0.3338 2023-11-13 20:44:00,633 - mmseg - INFO - Iter [72450/160000] lr: 3.283e-05, eta: 5:58:26, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2045, decode.acc_seg: 91.3666, aux.loss_ce: 0.1181, aux.acc_seg: 88.3728, loss: 0.3226 2023-11-13 20:44:12,540 - mmseg - INFO - Iter [72500/160000] lr: 3.281e-05, eta: 5:58:13, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2142, decode.acc_seg: 91.0438, aux.loss_ce: 0.1265, aux.acc_seg: 87.6170, loss: 0.3407 2023-11-13 20:44:24,290 - mmseg - INFO - Iter [72550/160000] lr: 3.279e-05, eta: 5:58:00, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2205, decode.acc_seg: 90.8964, aux.loss_ce: 0.1291, aux.acc_seg: 87.3079, loss: 0.3496 2023-11-13 20:44:36,724 - mmseg - INFO - Iter [72600/160000] lr: 3.278e-05, eta: 5:57:48, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2302, decode.acc_seg: 90.5107, aux.loss_ce: 0.1312, aux.acc_seg: 87.1658, loss: 0.3614 2023-11-13 20:44:50,619 - mmseg - INFO - Iter [72650/160000] lr: 3.276e-05, eta: 5:57:38, time: 0.278, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2228, decode.acc_seg: 90.7405, aux.loss_ce: 0.1299, aux.acc_seg: 87.2088, loss: 0.3527 2023-11-13 20:45:02,545 - mmseg - INFO - Iter [72700/160000] lr: 3.274e-05, eta: 5:57:25, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2030, decode.acc_seg: 91.7387, aux.loss_ce: 0.1187, aux.acc_seg: 88.6120, loss: 0.3218 2023-11-13 20:45:14,681 - mmseg - INFO - Iter [72750/160000] lr: 3.272e-05, eta: 5:57:13, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2108, decode.acc_seg: 91.3325, aux.loss_ce: 0.1248, aux.acc_seg: 87.9629, loss: 0.3356 2023-11-13 20:45:26,957 - mmseg - INFO - Iter [72800/160000] lr: 3.270e-05, eta: 5:57:00, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2320, decode.acc_seg: 90.7063, aux.loss_ce: 0.1288, aux.acc_seg: 87.8770, loss: 0.3608 2023-11-13 20:45:38,974 - mmseg - INFO - Iter [72850/160000] lr: 3.268e-05, eta: 5:56:48, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2133, decode.acc_seg: 90.7882, aux.loss_ce: 0.1198, aux.acc_seg: 87.7650, loss: 0.3331 2023-11-13 20:45:51,409 - mmseg - INFO - Iter [72900/160000] lr: 3.266e-05, eta: 5:56:36, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2280, decode.acc_seg: 90.6371, aux.loss_ce: 0.1301, aux.acc_seg: 87.4461, loss: 0.3581 2023-11-13 20:46:03,880 - mmseg - INFO - Iter [72950/160000] lr: 3.264e-05, eta: 5:56:24, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2302, decode.acc_seg: 90.1954, aux.loss_ce: 0.1280, aux.acc_seg: 87.3016, loss: 0.3582 2023-11-13 20:46:15,439 - mmseg - INFO - Saving checkpoint at 73000 iterations 2023-11-13 20:46:18,158 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:46:18,158 - mmseg - INFO - Iter [73000/160000] lr: 3.263e-05, eta: 5:56:14, time: 0.286, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2239, decode.acc_seg: 90.6823, aux.loss_ce: 0.1342, aux.acc_seg: 87.1608, loss: 0.3581 2023-11-13 20:46:30,261 - mmseg - INFO - Iter [73050/160000] lr: 3.261e-05, eta: 5:56:01, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2141, decode.acc_seg: 91.1183, aux.loss_ce: 0.1242, aux.acc_seg: 87.9449, loss: 0.3383 2023-11-13 20:46:43,630 - mmseg - INFO - Iter [73100/160000] lr: 3.259e-05, eta: 5:55:50, time: 0.267, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2285, decode.acc_seg: 90.5553, aux.loss_ce: 0.1351, aux.acc_seg: 87.3485, loss: 0.3636 2023-11-13 20:46:56,031 - mmseg - INFO - Iter [73150/160000] lr: 3.257e-05, eta: 5:55:38, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2212, decode.acc_seg: 90.6982, aux.loss_ce: 0.1296, aux.acc_seg: 87.4314, loss: 0.3507 2023-11-13 20:47:07,756 - mmseg - INFO - Iter [73200/160000] lr: 3.255e-05, eta: 5:55:25, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2155, decode.acc_seg: 90.7750, aux.loss_ce: 0.1251, aux.acc_seg: 87.5097, loss: 0.3406 2023-11-13 20:47:19,360 - mmseg - INFO - Iter [73250/160000] lr: 3.253e-05, eta: 5:55:12, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2177, decode.acc_seg: 90.8590, aux.loss_ce: 0.1277, aux.acc_seg: 87.5694, loss: 0.3454 2023-11-13 20:47:33,483 - mmseg - INFO - Iter [73300/160000] lr: 3.251e-05, eta: 5:55:02, time: 0.282, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2143, decode.acc_seg: 91.2294, aux.loss_ce: 0.1258, aux.acc_seg: 87.9077, loss: 0.3401 2023-11-13 20:47:45,173 - mmseg - INFO - Iter [73350/160000] lr: 3.249e-05, eta: 5:54:49, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2144, decode.acc_seg: 91.2370, aux.loss_ce: 0.1263, aux.acc_seg: 87.9375, loss: 0.3407 2023-11-13 20:47:56,842 - mmseg - INFO - Iter [73400/160000] lr: 3.248e-05, eta: 5:54:36, time: 0.233, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2054, decode.acc_seg: 91.2749, aux.loss_ce: 0.1228, aux.acc_seg: 87.7080, loss: 0.3282 2023-11-13 20:48:09,692 - mmseg - INFO - Iter [73450/160000] lr: 3.246e-05, eta: 5:54:24, time: 0.256, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2171, decode.acc_seg: 90.9255, aux.loss_ce: 0.1250, aux.acc_seg: 88.0173, loss: 0.3422 2023-11-13 20:48:21,775 - mmseg - INFO - Iter [73500/160000] lr: 3.244e-05, eta: 5:54:12, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2228, decode.acc_seg: 90.7049, aux.loss_ce: 0.1286, aux.acc_seg: 87.2711, loss: 0.3514 2023-11-13 20:48:33,670 - mmseg - INFO - Iter [73550/160000] lr: 3.242e-05, eta: 5:53:59, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2265, decode.acc_seg: 90.8066, aux.loss_ce: 0.1302, aux.acc_seg: 87.7902, loss: 0.3567 2023-11-13 20:48:45,408 - mmseg - INFO - Iter [73600/160000] lr: 3.240e-05, eta: 5:53:46, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2103, decode.acc_seg: 91.2443, aux.loss_ce: 0.1235, aux.acc_seg: 87.8681, loss: 0.3339 2023-11-13 20:48:57,424 - mmseg - INFO - Iter [73650/160000] lr: 3.238e-05, eta: 5:53:34, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2158, decode.acc_seg: 91.1504, aux.loss_ce: 0.1266, aux.acc_seg: 87.9300, loss: 0.3424 2023-11-13 20:49:09,061 - mmseg - INFO - Iter [73700/160000] lr: 3.236e-05, eta: 5:53:21, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2172, decode.acc_seg: 90.8698, aux.loss_ce: 0.1236, aux.acc_seg: 87.9730, loss: 0.3408 2023-11-13 20:49:20,689 - mmseg - INFO - Iter [73750/160000] lr: 3.234e-05, eta: 5:53:07, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2178, decode.acc_seg: 90.9043, aux.loss_ce: 0.1249, aux.acc_seg: 87.9398, loss: 0.3427 2023-11-13 20:49:32,256 - mmseg - INFO - Iter [73800/160000] lr: 3.233e-05, eta: 5:52:54, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2284, decode.acc_seg: 90.6582, aux.loss_ce: 0.1321, aux.acc_seg: 87.3179, loss: 0.3605 2023-11-13 20:49:43,959 - mmseg - INFO - Iter [73850/160000] lr: 3.231e-05, eta: 5:52:41, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2216, decode.acc_seg: 90.7464, aux.loss_ce: 0.1285, aux.acc_seg: 87.4250, loss: 0.3500 2023-11-13 20:49:55,756 - mmseg - INFO - Iter [73900/160000] lr: 3.229e-05, eta: 5:52:29, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2146, decode.acc_seg: 91.0342, aux.loss_ce: 0.1233, aux.acc_seg: 87.9299, loss: 0.3379 2023-11-13 20:50:07,396 - mmseg - INFO - Iter [73950/160000] lr: 3.227e-05, eta: 5:52:15, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2187, decode.acc_seg: 90.8087, aux.loss_ce: 0.1244, aux.acc_seg: 87.6080, loss: 0.3431 2023-11-13 20:50:19,143 - mmseg - INFO - Saving checkpoint at 74000 iterations 2023-11-13 20:50:21,803 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:50:21,803 - mmseg - INFO - Iter [74000/160000] lr: 3.225e-05, eta: 5:52:06, time: 0.288, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2168, decode.acc_seg: 90.9168, aux.loss_ce: 0.1234, aux.acc_seg: 87.8221, loss: 0.3402 2023-11-13 20:50:33,464 - mmseg - INFO - Iter [74050/160000] lr: 3.223e-05, eta: 5:51:53, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2164, decode.acc_seg: 91.0551, aux.loss_ce: 0.1275, aux.acc_seg: 87.7406, loss: 0.3439 2023-11-13 20:50:45,220 - mmseg - INFO - Iter [74100/160000] lr: 3.221e-05, eta: 5:51:40, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2163, decode.acc_seg: 91.0916, aux.loss_ce: 0.1289, aux.acc_seg: 87.5346, loss: 0.3452 2023-11-13 20:50:57,329 - mmseg - INFO - Iter [74150/160000] lr: 3.219e-05, eta: 5:51:27, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2287, decode.acc_seg: 90.4580, aux.loss_ce: 0.1330, aux.acc_seg: 87.1424, loss: 0.3617 2023-11-13 20:51:10,006 - mmseg - INFO - Iter [74200/160000] lr: 3.218e-05, eta: 5:51:15, time: 0.254, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2167, decode.acc_seg: 91.0167, aux.loss_ce: 0.1287, aux.acc_seg: 87.3161, loss: 0.3454 2023-11-13 20:51:21,838 - mmseg - INFO - Iter [74250/160000] lr: 3.216e-05, eta: 5:51:03, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2223, decode.acc_seg: 90.8093, aux.loss_ce: 0.1273, aux.acc_seg: 87.5717, loss: 0.3496 2023-11-13 20:51:33,725 - mmseg - INFO - Iter [74300/160000] lr: 3.214e-05, eta: 5:50:50, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2344, decode.acc_seg: 90.3653, aux.loss_ce: 0.1332, aux.acc_seg: 87.1622, loss: 0.3676 2023-11-13 20:51:45,847 - mmseg - INFO - Iter [74350/160000] lr: 3.212e-05, eta: 5:50:37, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2339, decode.acc_seg: 90.3204, aux.loss_ce: 0.1327, aux.acc_seg: 87.1333, loss: 0.3665 2023-11-13 20:51:57,496 - mmseg - INFO - Iter [74400/160000] lr: 3.210e-05, eta: 5:50:24, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2295, decode.acc_seg: 90.4406, aux.loss_ce: 0.1310, aux.acc_seg: 87.1940, loss: 0.3605 2023-11-13 20:52:09,154 - mmseg - INFO - Iter [74450/160000] lr: 3.208e-05, eta: 5:50:11, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2098, decode.acc_seg: 91.2423, aux.loss_ce: 0.1224, aux.acc_seg: 88.0076, loss: 0.3322 2023-11-13 20:52:21,630 - mmseg - INFO - Iter [74500/160000] lr: 3.206e-05, eta: 5:49:59, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2230, decode.acc_seg: 90.7002, aux.loss_ce: 0.1273, aux.acc_seg: 87.5423, loss: 0.3502 2023-11-13 20:52:35,727 - mmseg - INFO - Iter [74550/160000] lr: 3.204e-05, eta: 5:49:49, time: 0.282, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2147, decode.acc_seg: 91.0464, aux.loss_ce: 0.1236, aux.acc_seg: 87.9560, loss: 0.3383 2023-11-13 20:52:47,384 - mmseg - INFO - Iter [74600/160000] lr: 3.203e-05, eta: 5:49:36, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2090, decode.acc_seg: 91.3251, aux.loss_ce: 0.1240, aux.acc_seg: 87.9734, loss: 0.3330 2023-11-13 20:52:59,030 - mmseg - INFO - Iter [74650/160000] lr: 3.201e-05, eta: 5:49:23, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2158, decode.acc_seg: 91.0121, aux.loss_ce: 0.1238, aux.acc_seg: 87.9851, loss: 0.3395 2023-11-13 20:53:10,669 - mmseg - INFO - Iter [74700/160000] lr: 3.199e-05, eta: 5:49:10, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2230, decode.acc_seg: 90.7244, aux.loss_ce: 0.1358, aux.acc_seg: 86.7675, loss: 0.3588 2023-11-13 20:53:22,313 - mmseg - INFO - Iter [74750/160000] lr: 3.197e-05, eta: 5:48:57, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2263, decode.acc_seg: 90.6820, aux.loss_ce: 0.1284, aux.acc_seg: 87.5014, loss: 0.3547 2023-11-13 20:53:34,150 - mmseg - INFO - Iter [74800/160000] lr: 3.195e-05, eta: 5:48:44, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2087, decode.acc_seg: 91.3977, aux.loss_ce: 0.1233, aux.acc_seg: 88.2867, loss: 0.3320 2023-11-13 20:53:45,759 - mmseg - INFO - Iter [74850/160000] lr: 3.193e-05, eta: 5:48:31, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2218, decode.acc_seg: 90.6527, aux.loss_ce: 0.1313, aux.acc_seg: 87.0048, loss: 0.3531 2023-11-13 20:53:57,424 - mmseg - INFO - Iter [74900/160000] lr: 3.191e-05, eta: 5:48:18, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2096, decode.acc_seg: 91.0061, aux.loss_ce: 0.1241, aux.acc_seg: 87.5163, loss: 0.3338 2023-11-13 20:54:09,054 - mmseg - INFO - Iter [74950/160000] lr: 3.189e-05, eta: 5:48:05, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2164, decode.acc_seg: 91.0594, aux.loss_ce: 0.1265, aux.acc_seg: 87.9436, loss: 0.3428 2023-11-13 20:54:21,938 - mmseg - INFO - Saving checkpoint at 75000 iterations 2023-11-13 20:54:24,472 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:54:24,472 - mmseg - INFO - Iter [75000/160000] lr: 3.188e-05, eta: 5:47:57, time: 0.309, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2092, decode.acc_seg: 91.2325, aux.loss_ce: 0.1225, aux.acc_seg: 87.8827, loss: 0.3317 2023-11-13 20:54:36,572 - mmseg - INFO - Iter [75050/160000] lr: 3.186e-05, eta: 5:47:44, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2203, decode.acc_seg: 90.8163, aux.loss_ce: 0.1278, aux.acc_seg: 87.6561, loss: 0.3481 2023-11-13 20:54:48,320 - mmseg - INFO - Iter [75100/160000] lr: 3.184e-05, eta: 5:47:31, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2126, decode.acc_seg: 91.4213, aux.loss_ce: 0.1223, aux.acc_seg: 88.5352, loss: 0.3349 2023-11-13 20:54:59,952 - mmseg - INFO - Iter [75150/160000] lr: 3.182e-05, eta: 5:47:18, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2228, decode.acc_seg: 90.6992, aux.loss_ce: 0.1304, aux.acc_seg: 87.2959, loss: 0.3532 2023-11-13 20:55:11,562 - mmseg - INFO - Iter [75200/160000] lr: 3.180e-05, eta: 5:47:05, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2162, decode.acc_seg: 91.0809, aux.loss_ce: 0.1225, aux.acc_seg: 87.8784, loss: 0.3387 2023-11-13 20:55:23,649 - mmseg - INFO - Iter [75250/160000] lr: 3.178e-05, eta: 5:46:53, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2104, decode.acc_seg: 91.3595, aux.loss_ce: 0.1223, aux.acc_seg: 88.0345, loss: 0.3327 2023-11-13 20:55:35,350 - mmseg - INFO - Iter [75300/160000] lr: 3.176e-05, eta: 5:46:40, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2249, decode.acc_seg: 90.6242, aux.loss_ce: 0.1287, aux.acc_seg: 87.6334, loss: 0.3536 2023-11-13 20:55:47,083 - mmseg - INFO - Iter [75350/160000] lr: 3.174e-05, eta: 5:46:27, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2160, decode.acc_seg: 90.8956, aux.loss_ce: 0.1221, aux.acc_seg: 88.1398, loss: 0.3382 2023-11-13 20:55:58,967 - mmseg - INFO - Iter [75400/160000] lr: 3.173e-05, eta: 5:46:14, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2260, decode.acc_seg: 90.8122, aux.loss_ce: 0.1338, aux.acc_seg: 87.5143, loss: 0.3598 2023-11-13 20:56:10,685 - mmseg - INFO - Iter [75450/160000] lr: 3.171e-05, eta: 5:46:01, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2137, decode.acc_seg: 91.0003, aux.loss_ce: 0.1232, aux.acc_seg: 87.9591, loss: 0.3369 2023-11-13 20:56:23,426 - mmseg - INFO - Iter [75500/160000] lr: 3.169e-05, eta: 5:45:49, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2144, decode.acc_seg: 91.1754, aux.loss_ce: 0.1195, aux.acc_seg: 88.5336, loss: 0.3339 2023-11-13 20:56:35,675 - mmseg - INFO - Iter [75550/160000] lr: 3.167e-05, eta: 5:45:37, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2404, decode.acc_seg: 90.1028, aux.loss_ce: 0.1365, aux.acc_seg: 86.9165, loss: 0.3769 2023-11-13 20:56:47,370 - mmseg - INFO - Iter [75600/160000] lr: 3.165e-05, eta: 5:45:24, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2352, decode.acc_seg: 90.3678, aux.loss_ce: 0.1295, aux.acc_seg: 87.7121, loss: 0.3646 2023-11-13 20:56:59,006 - mmseg - INFO - Iter [75650/160000] lr: 3.163e-05, eta: 5:45:11, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2271, decode.acc_seg: 90.6722, aux.loss_ce: 0.1265, aux.acc_seg: 87.8745, loss: 0.3536 2023-11-13 20:57:11,181 - mmseg - INFO - Iter [75700/160000] lr: 3.161e-05, eta: 5:44:59, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2104, decode.acc_seg: 91.0698, aux.loss_ce: 0.1253, aux.acc_seg: 87.6660, loss: 0.3357 2023-11-13 20:57:24,023 - mmseg - INFO - Iter [75750/160000] lr: 3.159e-05, eta: 5:44:47, time: 0.256, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2136, decode.acc_seg: 91.0094, aux.loss_ce: 0.1227, aux.acc_seg: 87.9715, loss: 0.3363 2023-11-13 20:57:39,099 - mmseg - INFO - Iter [75800/160000] lr: 3.158e-05, eta: 5:44:38, time: 0.302, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2130, decode.acc_seg: 91.2116, aux.loss_ce: 0.1202, aux.acc_seg: 88.1560, loss: 0.3331 2023-11-13 20:57:52,403 - mmseg - INFO - Iter [75850/160000] lr: 3.156e-05, eta: 5:44:27, time: 0.265, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2047, decode.acc_seg: 91.4969, aux.loss_ce: 0.1205, aux.acc_seg: 88.2769, loss: 0.3252 2023-11-13 20:58:05,696 - mmseg - INFO - Iter [75900/160000] lr: 3.154e-05, eta: 5:44:16, time: 0.266, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2161, decode.acc_seg: 90.9046, aux.loss_ce: 0.1235, aux.acc_seg: 87.7273, loss: 0.3396 2023-11-13 20:58:17,316 - mmseg - INFO - Iter [75950/160000] lr: 3.152e-05, eta: 5:44:03, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2136, decode.acc_seg: 91.2786, aux.loss_ce: 0.1235, aux.acc_seg: 88.0647, loss: 0.3371 2023-11-13 20:58:29,142 - mmseg - INFO - Saving checkpoint at 76000 iterations 2023-11-13 20:58:31,665 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 20:58:31,665 - mmseg - INFO - Iter [76000/160000] lr: 3.150e-05, eta: 5:43:53, time: 0.287, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2196, decode.acc_seg: 90.8163, aux.loss_ce: 0.1302, aux.acc_seg: 87.4024, loss: 0.3498 2023-11-13 20:58:43,329 - mmseg - INFO - Iter [76050/160000] lr: 3.148e-05, eta: 5:43:40, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2104, decode.acc_seg: 91.4282, aux.loss_ce: 0.1243, aux.acc_seg: 88.1073, loss: 0.3346 2023-11-13 20:58:55,283 - mmseg - INFO - Iter [76100/160000] lr: 3.146e-05, eta: 5:43:27, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2079, decode.acc_seg: 91.3104, aux.loss_ce: 0.1174, aux.acc_seg: 88.5339, loss: 0.3254 2023-11-13 20:59:06,968 - mmseg - INFO - Iter [76150/160000] lr: 3.144e-05, eta: 5:43:14, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2216, decode.acc_seg: 90.7852, aux.loss_ce: 0.1275, aux.acc_seg: 87.5068, loss: 0.3492 2023-11-13 20:59:18,611 - mmseg - INFO - Iter [76200/160000] lr: 3.143e-05, eta: 5:43:01, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2182, decode.acc_seg: 91.0783, aux.loss_ce: 0.1261, aux.acc_seg: 87.6829, loss: 0.3443 2023-11-13 20:59:30,987 - mmseg - INFO - Iter [76250/160000] lr: 3.141e-05, eta: 5:42:49, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2107, decode.acc_seg: 91.0673, aux.loss_ce: 0.1204, aux.acc_seg: 88.0741, loss: 0.3311 2023-11-13 20:59:43,053 - mmseg - INFO - Iter [76300/160000] lr: 3.139e-05, eta: 5:42:37, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2233, decode.acc_seg: 90.8505, aux.loss_ce: 0.1297, aux.acc_seg: 87.6744, loss: 0.3530 2023-11-13 20:59:55,067 - mmseg - INFO - Iter [76350/160000] lr: 3.137e-05, eta: 5:42:24, time: 0.240, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2089, decode.acc_seg: 91.3185, aux.loss_ce: 0.1202, aux.acc_seg: 88.1849, loss: 0.3291 2023-11-13 21:00:06,881 - mmseg - INFO - Iter [76400/160000] lr: 3.135e-05, eta: 5:42:11, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2080, decode.acc_seg: 91.0907, aux.loss_ce: 0.1209, aux.acc_seg: 87.8809, loss: 0.3289 2023-11-13 21:00:19,156 - mmseg - INFO - Iter [76450/160000] lr: 3.133e-05, eta: 5:41:59, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2141, decode.acc_seg: 91.1048, aux.loss_ce: 0.1263, aux.acc_seg: 87.8906, loss: 0.3405 2023-11-13 21:00:30,857 - mmseg - INFO - Iter [76500/160000] lr: 3.131e-05, eta: 5:41:46, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2144, decode.acc_seg: 90.8760, aux.loss_ce: 0.1244, aux.acc_seg: 87.6496, loss: 0.3388 2023-11-13 21:00:43,983 - mmseg - INFO - Iter [76550/160000] lr: 3.129e-05, eta: 5:41:35, time: 0.263, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2176, decode.acc_seg: 91.0360, aux.loss_ce: 0.1263, aux.acc_seg: 87.8359, loss: 0.3439 2023-11-13 21:00:55,582 - mmseg - INFO - Iter [76600/160000] lr: 3.128e-05, eta: 5:41:22, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2264, decode.acc_seg: 91.0541, aux.loss_ce: 0.1282, aux.acc_seg: 87.9359, loss: 0.3546 2023-11-13 21:01:07,578 - mmseg - INFO - Iter [76650/160000] lr: 3.126e-05, eta: 5:41:09, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2242, decode.acc_seg: 90.7803, aux.loss_ce: 0.1310, aux.acc_seg: 87.3297, loss: 0.3551 2023-11-13 21:01:19,233 - mmseg - INFO - Iter [76700/160000] lr: 3.124e-05, eta: 5:40:56, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2057, decode.acc_seg: 91.4415, aux.loss_ce: 0.1203, aux.acc_seg: 88.3736, loss: 0.3260 2023-11-13 21:01:31,082 - mmseg - INFO - Iter [76750/160000] lr: 3.122e-05, eta: 5:40:43, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2141, decode.acc_seg: 91.0611, aux.loss_ce: 0.1218, aux.acc_seg: 87.9521, loss: 0.3359 2023-11-13 21:01:43,191 - mmseg - INFO - Iter [76800/160000] lr: 3.120e-05, eta: 5:40:31, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2176, decode.acc_seg: 90.9530, aux.loss_ce: 0.1255, aux.acc_seg: 87.8118, loss: 0.3431 2023-11-13 21:01:55,402 - mmseg - INFO - Iter [76850/160000] lr: 3.118e-05, eta: 5:40:19, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2133, decode.acc_seg: 91.2855, aux.loss_ce: 0.1213, aux.acc_seg: 88.3340, loss: 0.3346 2023-11-13 21:02:07,085 - mmseg - INFO - Iter [76900/160000] lr: 3.116e-05, eta: 5:40:06, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2224, decode.acc_seg: 90.8729, aux.loss_ce: 0.1261, aux.acc_seg: 87.7365, loss: 0.3485 2023-11-13 21:02:18,681 - mmseg - INFO - Iter [76950/160000] lr: 3.114e-05, eta: 5:39:53, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2221, decode.acc_seg: 91.2035, aux.loss_ce: 0.1264, aux.acc_seg: 88.1891, loss: 0.3486 2023-11-13 21:02:31,717 - mmseg - INFO - Saving checkpoint at 77000 iterations 2023-11-13 21:02:34,369 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:02:34,369 - mmseg - INFO - Iter [77000/160000] lr: 3.113e-05, eta: 5:39:44, time: 0.314, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2217, decode.acc_seg: 90.6361, aux.loss_ce: 0.1299, aux.acc_seg: 87.2328, loss: 0.3517 2023-11-13 21:02:49,398 - mmseg - INFO - Iter [77050/160000] lr: 3.111e-05, eta: 5:39:35, time: 0.300, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2092, decode.acc_seg: 91.3234, aux.loss_ce: 0.1233, aux.acc_seg: 88.1002, loss: 0.3325 2023-11-13 21:03:01,811 - mmseg - INFO - Iter [77100/160000] lr: 3.109e-05, eta: 5:39:23, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2132, decode.acc_seg: 91.2975, aux.loss_ce: 0.1247, aux.acc_seg: 88.1547, loss: 0.3379 2023-11-13 21:03:13,433 - mmseg - INFO - Iter [77150/160000] lr: 3.107e-05, eta: 5:39:10, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2040, decode.acc_seg: 91.4768, aux.loss_ce: 0.1208, aux.acc_seg: 88.2107, loss: 0.3248 2023-11-13 21:03:26,074 - mmseg - INFO - Iter [77200/160000] lr: 3.105e-05, eta: 5:38:58, time: 0.252, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2203, decode.acc_seg: 90.5640, aux.loss_ce: 0.1298, aux.acc_seg: 87.1231, loss: 0.3501 2023-11-13 21:03:37,807 - mmseg - INFO - Iter [77250/160000] lr: 3.103e-05, eta: 5:38:45, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2142, decode.acc_seg: 90.9208, aux.loss_ce: 0.1234, aux.acc_seg: 87.8412, loss: 0.3376 2023-11-13 21:03:49,616 - mmseg - INFO - Iter [77300/160000] lr: 3.101e-05, eta: 5:38:32, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1956, decode.acc_seg: 91.9110, aux.loss_ce: 0.1166, aux.acc_seg: 88.7734, loss: 0.3122 2023-11-13 21:04:01,276 - mmseg - INFO - Iter [77350/160000] lr: 3.099e-05, eta: 5:38:19, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2170, decode.acc_seg: 90.8702, aux.loss_ce: 0.1255, aux.acc_seg: 87.6848, loss: 0.3425 2023-11-13 21:04:12,966 - mmseg - INFO - Iter [77400/160000] lr: 3.098e-05, eta: 5:38:06, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1982, decode.acc_seg: 91.7629, aux.loss_ce: 0.1165, aux.acc_seg: 88.7530, loss: 0.3147 2023-11-13 21:04:24,558 - mmseg - INFO - Iter [77450/160000] lr: 3.096e-05, eta: 5:37:53, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2169, decode.acc_seg: 91.0956, aux.loss_ce: 0.1248, aux.acc_seg: 88.1023, loss: 0.3417 2023-11-13 21:04:36,379 - mmseg - INFO - Iter [77500/160000] lr: 3.094e-05, eta: 5:37:40, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2102, decode.acc_seg: 91.2247, aux.loss_ce: 0.1169, aux.acc_seg: 88.5904, loss: 0.3270 2023-11-13 21:04:48,873 - mmseg - INFO - Iter [77550/160000] lr: 3.092e-05, eta: 5:37:28, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2124, decode.acc_seg: 91.0512, aux.loss_ce: 0.1230, aux.acc_seg: 87.9885, loss: 0.3354 2023-11-13 21:05:00,590 - mmseg - INFO - Iter [77600/160000] lr: 3.090e-05, eta: 5:37:15, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2194, decode.acc_seg: 90.9577, aux.loss_ce: 0.1310, aux.acc_seg: 87.5741, loss: 0.3504 2023-11-13 21:05:12,611 - mmseg - INFO - Iter [77650/160000] lr: 3.088e-05, eta: 5:37:03, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2206, decode.acc_seg: 91.0010, aux.loss_ce: 0.1277, aux.acc_seg: 87.6743, loss: 0.3482 2023-11-13 21:05:24,364 - mmseg - INFO - Iter [77700/160000] lr: 3.086e-05, eta: 5:36:50, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2120, decode.acc_seg: 91.0533, aux.loss_ce: 0.1222, aux.acc_seg: 88.1791, loss: 0.3342 2023-11-13 21:05:36,030 - mmseg - INFO - Iter [77750/160000] lr: 3.084e-05, eta: 5:36:37, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2227, decode.acc_seg: 90.8838, aux.loss_ce: 0.1277, aux.acc_seg: 87.9127, loss: 0.3504 2023-11-13 21:05:48,299 - mmseg - INFO - Iter [77800/160000] lr: 3.083e-05, eta: 5:36:25, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2107, decode.acc_seg: 91.1699, aux.loss_ce: 0.1194, aux.acc_seg: 88.2030, loss: 0.3301 2023-11-13 21:06:00,305 - mmseg - INFO - Iter [77850/160000] lr: 3.081e-05, eta: 5:36:12, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2104, decode.acc_seg: 91.3847, aux.loss_ce: 0.1215, aux.acc_seg: 88.2087, loss: 0.3319 2023-11-13 21:06:11,881 - mmseg - INFO - Iter [77900/160000] lr: 3.079e-05, eta: 5:35:59, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2239, decode.acc_seg: 90.9655, aux.loss_ce: 0.1285, aux.acc_seg: 87.7079, loss: 0.3524 2023-11-13 21:06:23,897 - mmseg - INFO - Iter [77950/160000] lr: 3.077e-05, eta: 5:35:47, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1987, decode.acc_seg: 91.6754, aux.loss_ce: 0.1150, aux.acc_seg: 88.8574, loss: 0.3137 2023-11-13 21:06:35,622 - mmseg - INFO - Saving checkpoint at 78000 iterations 2023-11-13 21:06:38,242 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:06:38,242 - mmseg - INFO - Iter [78000/160000] lr: 3.075e-05, eta: 5:35:37, time: 0.287, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2154, decode.acc_seg: 91.0934, aux.loss_ce: 0.1241, aux.acc_seg: 87.9507, loss: 0.3395 2023-11-13 21:06:50,006 - mmseg - INFO - Iter [78050/160000] lr: 3.073e-05, eta: 5:35:24, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2112, decode.acc_seg: 91.3296, aux.loss_ce: 0.1210, aux.acc_seg: 88.4106, loss: 0.3322 2023-11-13 21:07:01,741 - mmseg - INFO - Iter [78100/160000] lr: 3.071e-05, eta: 5:35:11, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2181, decode.acc_seg: 91.0933, aux.loss_ce: 0.1274, aux.acc_seg: 87.7190, loss: 0.3455 2023-11-13 21:07:13,681 - mmseg - INFO - Iter [78150/160000] lr: 3.069e-05, eta: 5:34:58, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2130, decode.acc_seg: 90.9198, aux.loss_ce: 0.1224, aux.acc_seg: 87.8832, loss: 0.3354 2023-11-13 21:07:25,613 - mmseg - INFO - Iter [78200/160000] lr: 3.068e-05, eta: 5:34:46, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2040, decode.acc_seg: 91.7036, aux.loss_ce: 0.1194, aux.acc_seg: 88.6895, loss: 0.3234 2023-11-13 21:07:37,461 - mmseg - INFO - Iter [78250/160000] lr: 3.066e-05, eta: 5:34:33, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2290, decode.acc_seg: 90.5656, aux.loss_ce: 0.1265, aux.acc_seg: 87.7064, loss: 0.3555 2023-11-13 21:07:49,121 - mmseg - INFO - Iter [78300/160000] lr: 3.064e-05, eta: 5:34:20, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2152, decode.acc_seg: 91.0119, aux.loss_ce: 0.1253, aux.acc_seg: 87.6300, loss: 0.3404 2023-11-13 21:08:03,170 - mmseg - INFO - Iter [78350/160000] lr: 3.062e-05, eta: 5:34:10, time: 0.281, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2087, decode.acc_seg: 91.1811, aux.loss_ce: 0.1231, aux.acc_seg: 87.7635, loss: 0.3317 2023-11-13 21:08:15,368 - mmseg - INFO - Iter [78400/160000] lr: 3.060e-05, eta: 5:33:57, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2094, decode.acc_seg: 90.9444, aux.loss_ce: 0.1203, aux.acc_seg: 87.7875, loss: 0.3297 2023-11-13 21:08:27,599 - mmseg - INFO - Iter [78450/160000] lr: 3.058e-05, eta: 5:33:45, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2092, decode.acc_seg: 91.3095, aux.loss_ce: 0.1218, aux.acc_seg: 88.1497, loss: 0.3311 2023-11-13 21:08:39,634 - mmseg - INFO - Iter [78500/160000] lr: 3.056e-05, eta: 5:33:32, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2092, decode.acc_seg: 91.2549, aux.loss_ce: 0.1216, aux.acc_seg: 88.0934, loss: 0.3308 2023-11-13 21:08:51,376 - mmseg - INFO - Iter [78550/160000] lr: 3.054e-05, eta: 5:33:19, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2086, decode.acc_seg: 91.4481, aux.loss_ce: 0.1203, aux.acc_seg: 88.2930, loss: 0.3289 2023-11-13 21:09:03,050 - mmseg - INFO - Iter [78600/160000] lr: 3.053e-05, eta: 5:33:07, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2112, decode.acc_seg: 91.1577, aux.loss_ce: 0.1222, aux.acc_seg: 88.0104, loss: 0.3335 2023-11-13 21:09:14,801 - mmseg - INFO - Iter [78650/160000] lr: 3.051e-05, eta: 5:32:54, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2080, decode.acc_seg: 91.5059, aux.loss_ce: 0.1210, aux.acc_seg: 88.2109, loss: 0.3290 2023-11-13 21:09:27,130 - mmseg - INFO - Iter [78700/160000] lr: 3.049e-05, eta: 5:32:42, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2230, decode.acc_seg: 90.8875, aux.loss_ce: 0.1251, aux.acc_seg: 88.0396, loss: 0.3481 2023-11-13 21:09:38,792 - mmseg - INFO - Iter [78750/160000] lr: 3.047e-05, eta: 5:32:29, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2025, decode.acc_seg: 91.6679, aux.loss_ce: 0.1169, aux.acc_seg: 88.6759, loss: 0.3194 2023-11-13 21:09:50,758 - mmseg - INFO - Iter [78800/160000] lr: 3.045e-05, eta: 5:32:16, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2185, decode.acc_seg: 90.8294, aux.loss_ce: 0.1255, aux.acc_seg: 87.8588, loss: 0.3440 2023-11-13 21:10:02,984 - mmseg - INFO - Iter [78850/160000] lr: 3.043e-05, eta: 5:32:04, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2158, decode.acc_seg: 91.1517, aux.loss_ce: 0.1241, aux.acc_seg: 88.0971, loss: 0.3399 2023-11-13 21:10:14,626 - mmseg - INFO - Iter [78900/160000] lr: 3.041e-05, eta: 5:31:51, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2198, decode.acc_seg: 90.7703, aux.loss_ce: 0.1249, aux.acc_seg: 87.8009, loss: 0.3447 2023-11-13 21:10:26,274 - mmseg - INFO - Iter [78950/160000] lr: 3.039e-05, eta: 5:31:38, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2172, decode.acc_seg: 90.8320, aux.loss_ce: 0.1251, aux.acc_seg: 87.5955, loss: 0.3423 2023-11-13 21:10:37,937 - mmseg - INFO - Saving checkpoint at 79000 iterations 2023-11-13 21:10:40,436 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:10:40,436 - mmseg - INFO - Iter [79000/160000] lr: 3.038e-05, eta: 5:31:28, time: 0.283, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2177, decode.acc_seg: 90.9862, aux.loss_ce: 0.1208, aux.acc_seg: 88.2517, loss: 0.3385 2023-11-13 21:10:52,203 - mmseg - INFO - Iter [79050/160000] lr: 3.036e-05, eta: 5:31:15, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2035, decode.acc_seg: 91.2583, aux.loss_ce: 0.1179, aux.acc_seg: 88.3816, loss: 0.3214 2023-11-13 21:11:03,987 - mmseg - INFO - Iter [79100/160000] lr: 3.034e-05, eta: 5:31:02, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2031, decode.acc_seg: 91.3854, aux.loss_ce: 0.1216, aux.acc_seg: 88.0800, loss: 0.3247 2023-11-13 21:11:16,278 - mmseg - INFO - Iter [79150/160000] lr: 3.032e-05, eta: 5:30:50, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2116, decode.acc_seg: 91.1508, aux.loss_ce: 0.1260, aux.acc_seg: 87.4967, loss: 0.3376 2023-11-13 21:11:29,777 - mmseg - INFO - Iter [79200/160000] lr: 3.030e-05, eta: 5:30:39, time: 0.270, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2069, decode.acc_seg: 91.5590, aux.loss_ce: 0.1194, aux.acc_seg: 88.4591, loss: 0.3263 2023-11-13 21:11:42,469 - mmseg - INFO - Iter [79250/160000] lr: 3.028e-05, eta: 5:30:27, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2144, decode.acc_seg: 91.0506, aux.loss_ce: 0.1209, aux.acc_seg: 88.1262, loss: 0.3353 2023-11-13 21:11:54,120 - mmseg - INFO - Iter [79300/160000] lr: 3.026e-05, eta: 5:30:14, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1864, decode.acc_seg: 92.1699, aux.loss_ce: 0.1116, aux.acc_seg: 88.8891, loss: 0.2980 2023-11-13 21:12:06,761 - mmseg - INFO - Iter [79350/160000] lr: 3.024e-05, eta: 5:30:02, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2130, decode.acc_seg: 91.1376, aux.loss_ce: 0.1263, aux.acc_seg: 87.8178, loss: 0.3394 2023-11-13 21:12:18,621 - mmseg - INFO - Iter [79400/160000] lr: 3.023e-05, eta: 5:29:49, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2139, decode.acc_seg: 91.0540, aux.loss_ce: 0.1250, aux.acc_seg: 87.8636, loss: 0.3390 2023-11-13 21:12:31,457 - mmseg - INFO - Iter [79450/160000] lr: 3.021e-05, eta: 5:29:38, time: 0.256, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2120, decode.acc_seg: 91.0102, aux.loss_ce: 0.1233, aux.acc_seg: 87.8892, loss: 0.3353 2023-11-13 21:12:43,136 - mmseg - INFO - Iter [79500/160000] lr: 3.019e-05, eta: 5:29:25, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2003, decode.acc_seg: 91.5972, aux.loss_ce: 0.1165, aux.acc_seg: 88.7137, loss: 0.3168 2023-11-13 21:12:55,129 - mmseg - INFO - Iter [79550/160000] lr: 3.017e-05, eta: 5:29:12, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2096, decode.acc_seg: 91.2360, aux.loss_ce: 0.1250, aux.acc_seg: 87.7355, loss: 0.3346 2023-11-13 21:13:09,065 - mmseg - INFO - Iter [79600/160000] lr: 3.015e-05, eta: 5:29:02, time: 0.279, data_time: 0.048, memory: 5958, decode.loss_ce: 0.2164, decode.acc_seg: 90.9222, aux.loss_ce: 0.1241, aux.acc_seg: 87.7687, loss: 0.3405 2023-11-13 21:13:20,892 - mmseg - INFO - Iter [79650/160000] lr: 3.013e-05, eta: 5:28:49, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2158, decode.acc_seg: 91.0808, aux.loss_ce: 0.1231, aux.acc_seg: 87.6672, loss: 0.3389 2023-11-13 21:13:34,203 - mmseg - INFO - Iter [79700/160000] lr: 3.011e-05, eta: 5:28:38, time: 0.266, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2146, decode.acc_seg: 91.2419, aux.loss_ce: 0.1219, aux.acc_seg: 88.2208, loss: 0.3365 2023-11-13 21:13:45,984 - mmseg - INFO - Iter [79750/160000] lr: 3.009e-05, eta: 5:28:25, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2052, decode.acc_seg: 91.2804, aux.loss_ce: 0.1180, aux.acc_seg: 88.2786, loss: 0.3232 2023-11-13 21:13:58,257 - mmseg - INFO - Iter [79800/160000] lr: 3.008e-05, eta: 5:28:12, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2148, decode.acc_seg: 91.0303, aux.loss_ce: 0.1213, aux.acc_seg: 88.2019, loss: 0.3361 2023-11-13 21:14:11,282 - mmseg - INFO - Iter [79850/160000] lr: 3.006e-05, eta: 5:28:01, time: 0.260, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2005, decode.acc_seg: 91.6667, aux.loss_ce: 0.1154, aux.acc_seg: 88.6411, loss: 0.3159 2023-11-13 21:14:23,761 - mmseg - INFO - Iter [79900/160000] lr: 3.004e-05, eta: 5:27:49, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2198, decode.acc_seg: 90.8695, aux.loss_ce: 0.1282, aux.acc_seg: 87.3655, loss: 0.3480 2023-11-13 21:14:35,407 - mmseg - INFO - Iter [79950/160000] lr: 3.002e-05, eta: 5:27:36, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2040, decode.acc_seg: 91.6090, aux.loss_ce: 0.1160, aux.acc_seg: 88.7878, loss: 0.3200 2023-11-13 21:14:47,534 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-11-13 21:14:50,395 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:14:50,395 - mmseg - INFO - Iter [80000/160000] lr: 3.000e-05, eta: 5:27:26, time: 0.300, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2098, decode.acc_seg: 91.2433, aux.loss_ce: 0.1192, aux.acc_seg: 88.4423, loss: 0.3290 2023-11-13 21:15:04,416 - mmseg - INFO - per class results: 2023-11-13 21:15:04,421 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.39 | 86.89 | | building | 81.51 | 93.07 | | sky | 94.47 | 97.48 | | floor | 81.73 | 89.87 | | tree | 74.08 | 88.68 | | ceiling | 83.67 | 91.67 | | road | 83.97 | 90.56 | | bed | 90.04 | 96.29 | | windowpane | 63.12 | 79.88 | | grass | 65.56 | 79.88 | | cabinet | 59.02 | 71.52 | | sidewalk | 66.38 | 85.04 | | person | 81.82 | 93.48 | | earth | 37.74 | 49.22 | | door | 54.03 | 69.72 | | table | 62.3 | 78.25 | | mountain | 57.82 | 72.35 | | plant | 51.59 | 64.04 | | curtain | 74.33 | 85.16 | | chair | 57.51 | 68.75 | | car | 84.69 | 92.76 | | water | 44.39 | 52.46 | | painting | 70.36 | 88.05 | | sofa | 67.21 | 80.3 | | shelf | 40.0 | 62.08 | | house | 54.84 | 66.29 | | sea | 60.69 | 81.09 | | mirror | 74.18 | 82.52 | | rug | 62.04 | 74.05 | | field | 25.94 | 44.13 | | armchair | 43.78 | 67.02 | | seat | 62.32 | 83.27 | | fence | 45.02 | 63.34 | | desk | 51.27 | 66.72 | | rock | 42.05 | 70.12 | | wardrobe | 44.27 | 65.15 | | lamp | 65.52 | 76.02 | | bathtub | 73.15 | 76.77 | | railing | 36.2 | 47.86 | | cushion | 59.73 | 71.82 | | base | 20.65 | 28.23 | | box | 27.47 | 36.05 | | column | 46.53 | 54.65 | | signboard | 38.39 | 52.63 | | chest of drawers | 43.01 | 64.99 | | counter | 31.48 | 42.2 | | sand | 45.1 | 62.27 | | sink | 69.16 | 81.0 | | skyscraper | 46.64 | 60.66 | | fireplace | 71.54 | 91.56 | | refrigerator | 79.07 | 87.75 | | grandstand | 49.95 | 74.45 | | path | 23.41 | 35.02 | | stairs | 33.8 | 41.88 | | runway | 63.16 | 84.9 | | case | 39.33 | 54.43 | | pool table | 93.55 | 96.37 | | pillow | 58.73 | 68.61 | | screen door | 78.86 | 82.33 | | stairway | 28.41 | 37.96 | | river | 9.26 | 33.93 | | bridge | 73.7 | 80.85 | | bookcase | 39.56 | 65.59 | | blind | 42.88 | 48.9 | | coffee table | 61.31 | 78.03 | | toilet | 85.29 | 91.05 | | flower | 41.16 | 59.59 | | book | 45.76 | 69.4 | | hill | 11.79 | 21.71 | | bench | 47.12 | 54.41 | | countertop | 57.21 | 72.4 | | stove | 78.53 | 88.77 | | palm | 53.91 | 69.55 | | kitchen island | 32.76 | 60.33 | | computer | 69.21 | 75.05 | | swivel chair | 45.01 | 60.45 | | boat | 42.96 | 50.8 | | bar | 46.9 | 64.28 | | arcade machine | 76.05 | 82.56 | | hovel | 41.3 | 45.37 | | bus | 91.14 | 97.3 | | towel | 64.98 | 76.23 | | light | 53.17 | 60.81 | | truck | 44.36 | 56.22 | | tower | 24.7 | 36.81 | | chandelier | 70.55 | 83.15 | | awning | 32.51 | 37.29 | | streetlight | 27.18 | 35.02 | | booth | 46.34 | 52.45 | | television receiver | 72.19 | 82.58 | | airplane | 65.26 | 73.92 | | dirt track | 11.05 | 19.11 | | apparel | 39.18 | 51.8 | | pole | 20.45 | 26.12 | | land | 4.12 | 5.77 | | bannister | 17.76 | 21.23 | | escalator | 49.59 | 74.98 | | ottoman | 51.26 | 70.85 | | bottle | 29.07 | 37.58 | | buffet | 38.36 | 47.53 | | poster | 32.56 | 42.82 | | stage | 22.22 | 31.77 | | van | 44.18 | 57.21 | | ship | 8.05 | 11.88 | | fountain | 20.22 | 21.34 | | conveyer belt | 61.77 | 92.72 | | canopy | 13.27 | 20.62 | | washer | 72.99 | 75.27 | | plaything | 30.52 | 45.73 | | swimming pool | 45.37 | 71.18 | | stool | 41.23 | 59.61 | | barrel | 28.87 | 66.57 | | basket | 35.7 | 47.36 | | waterfall | 52.4 | 59.13 | | tent | 87.98 | 98.59 | | bag | 16.79 | 21.74 | | minibike | 68.14 | 84.94 | | cradle | 85.78 | 95.44 | | oven | 28.33 | 75.31 | | ball | 42.36 | 46.05 | | food | 60.99 | 73.28 | | step | 11.65 | 14.43 | | tank | 58.57 | 60.71 | | trade name | 29.13 | 37.01 | | microwave | 44.77 | 48.71 | | pot | 45.83 | 51.52 | | animal | 64.77 | 67.23 | | bicycle | 53.17 | 65.35 | | lake | 62.62 | 78.13 | | dishwasher | 69.56 | 72.65 | | screen | 56.77 | 68.77 | | blanket | 19.71 | 23.93 | | sculpture | 60.01 | 78.71 | | hood | 59.98 | 67.52 | | sconce | 46.96 | 55.94 | | vase | 44.1 | 56.73 | | traffic light | 30.57 | 57.88 | | tray | 8.33 | 14.58 | | ashcan | 45.67 | 56.46 | | fan | 61.09 | 73.05 | | pier | 31.1 | 39.72 | | crt screen | 6.43 | 17.28 | | plate | 55.79 | 69.85 | | monitor | 13.84 | 20.21 | | bulletin board | 45.37 | 69.61 | | shower | 0.04 | 0.12 | | radiator | 58.49 | 68.11 | | glass | 14.13 | 15.32 | | clock | 38.25 | 45.75 | | flag | 45.17 | 48.16 | +---------------------+-------+-------+ 2023-11-13 21:15:04,421 - mmseg - INFO - Summary: 2023-11-13 21:15:04,422 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.99 | 49.54 | 61.62 | +-------+-------+-------+ 2023-11-13 21:15:04,423 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:15:04,423 - mmseg - INFO - Iter(val) [250] aAcc: 0.8299, mIoU: 0.4954, mAcc: 0.6162, IoU.wall: 0.7739, IoU.building: 0.8151, IoU.sky: 0.9447, IoU.floor: 0.8173, IoU.tree: 0.7408, IoU.ceiling: 0.8367, IoU.road: 0.8397, IoU.bed : 0.9004, IoU.windowpane: 0.6312, IoU.grass: 0.6556, IoU.cabinet: 0.5902, IoU.sidewalk: 0.6638, IoU.person: 0.8182, IoU.earth: 0.3774, IoU.door: 0.5403, IoU.table: 0.6230, IoU.mountain: 0.5782, IoU.plant: 0.5159, IoU.curtain: 0.7433, IoU.chair: 0.5751, IoU.car: 0.8469, IoU.water: 0.4439, IoU.painting: 0.7036, IoU.sofa: 0.6721, IoU.shelf: 0.4000, IoU.house: 0.5484, IoU.sea: 0.6069, IoU.mirror: 0.7418, IoU.rug: 0.6204, IoU.field: 0.2594, IoU.armchair: 0.4378, IoU.seat: 0.6232, IoU.fence: 0.4502, IoU.desk: 0.5127, IoU.rock: 0.4205, IoU.wardrobe: 0.4427, IoU.lamp: 0.6552, IoU.bathtub: 0.7315, IoU.railing: 0.3620, IoU.cushion: 0.5973, IoU.base: 0.2065, IoU.box: 0.2747, IoU.column: 0.4653, IoU.signboard: 0.3839, IoU.chest of drawers: 0.4301, IoU.counter: 0.3148, IoU.sand: 0.4510, IoU.sink: 0.6916, IoU.skyscraper: 0.4664, IoU.fireplace: 0.7154, IoU.refrigerator: 0.7907, IoU.grandstand: 0.4995, IoU.path: 0.2341, IoU.stairs: 0.3380, IoU.runway: 0.6316, IoU.case: 0.3933, IoU.pool table: 0.9355, IoU.pillow: 0.5873, IoU.screen door: 0.7886, IoU.stairway: 0.2841, IoU.river: 0.0926, IoU.bridge: 0.7370, IoU.bookcase: 0.3956, IoU.blind: 0.4288, IoU.coffee table: 0.6131, IoU.toilet: 0.8529, IoU.flower: 0.4116, IoU.book: 0.4576, IoU.hill: 0.1179, IoU.bench: 0.4712, IoU.countertop: 0.5721, IoU.stove: 0.7853, IoU.palm: 0.5391, IoU.kitchen island: 0.3276, IoU.computer: 0.6921, IoU.swivel chair: 0.4501, IoU.boat: 0.4296, IoU.bar: 0.4690, IoU.arcade machine: 0.7605, IoU.hovel: 0.4130, IoU.bus: 0.9114, IoU.towel: 0.6498, IoU.light: 0.5317, IoU.truck: 0.4436, IoU.tower: 0.2470, IoU.chandelier: 0.7055, IoU.awning: 0.3251, IoU.streetlight: 0.2718, IoU.booth: 0.4634, IoU.television receiver: 0.7219, IoU.airplane: 0.6526, IoU.dirt track: 0.1105, IoU.apparel: 0.3918, IoU.pole: 0.2045, IoU.land: 0.0412, IoU.bannister: 0.1776, IoU.escalator: 0.4959, IoU.ottoman: 0.5126, IoU.bottle: 0.2907, IoU.buffet: 0.3836, IoU.poster: 0.3256, IoU.stage: 0.2222, IoU.van: 0.4418, IoU.ship: 0.0805, IoU.fountain: 0.2022, IoU.conveyer belt: 0.6177, IoU.canopy: 0.1327, IoU.washer: 0.7299, IoU.plaything: 0.3052, IoU.swimming pool: 0.4537, IoU.stool: 0.4123, IoU.barrel: 0.2887, IoU.basket: 0.3570, IoU.waterfall: 0.5240, IoU.tent: 0.8798, IoU.bag: 0.1679, IoU.minibike: 0.6814, IoU.cradle: 0.8578, IoU.oven: 0.2833, IoU.ball: 0.4236, IoU.food: 0.6099, IoU.step: 0.1165, IoU.tank: 0.5857, IoU.trade name: 0.2913, IoU.microwave: 0.4477, IoU.pot: 0.4583, IoU.animal: 0.6477, IoU.bicycle: 0.5317, IoU.lake: 0.6262, IoU.dishwasher: 0.6956, IoU.screen: 0.5677, IoU.blanket: 0.1971, IoU.sculpture: 0.6001, IoU.hood: 0.5998, IoU.sconce: 0.4696, IoU.vase: 0.4410, IoU.traffic light: 0.3057, IoU.tray: 0.0833, IoU.ashcan: 0.4567, IoU.fan: 0.6109, IoU.pier: 0.3110, IoU.crt screen: 0.0643, IoU.plate: 0.5579, IoU.monitor: 0.1384, IoU.bulletin board: 0.4537, IoU.shower: 0.0004, IoU.radiator: 0.5849, IoU.glass: 0.1413, IoU.clock: 0.3825, IoU.flag: 0.4517, Acc.wall: 0.8689, Acc.building: 0.9307, Acc.sky: 0.9748, Acc.floor: 0.8987, Acc.tree: 0.8868, Acc.ceiling: 0.9167, Acc.road: 0.9056, Acc.bed : 0.9629, Acc.windowpane: 0.7988, Acc.grass: 0.7988, Acc.cabinet: 0.7152, Acc.sidewalk: 0.8504, Acc.person: 0.9348, Acc.earth: 0.4922, Acc.door: 0.6972, Acc.table: 0.7825, Acc.mountain: 0.7235, Acc.plant: 0.6404, Acc.curtain: 0.8516, Acc.chair: 0.6875, Acc.car: 0.9276, Acc.water: 0.5246, Acc.painting: 0.8805, Acc.sofa: 0.8030, Acc.shelf: 0.6208, Acc.house: 0.6629, Acc.sea: 0.8109, Acc.mirror: 0.8252, Acc.rug: 0.7405, Acc.field: 0.4413, Acc.armchair: 0.6702, Acc.seat: 0.8327, Acc.fence: 0.6334, Acc.desk: 0.6672, Acc.rock: 0.7012, Acc.wardrobe: 0.6515, Acc.lamp: 0.7602, Acc.bathtub: 0.7677, Acc.railing: 0.4786, Acc.cushion: 0.7182, Acc.base: 0.2823, Acc.box: 0.3605, Acc.column: 0.5465, Acc.signboard: 0.5263, Acc.chest of drawers: 0.6499, Acc.counter: 0.4220, Acc.sand: 0.6227, Acc.sink: 0.8100, Acc.skyscraper: 0.6066, Acc.fireplace: 0.9156, Acc.refrigerator: 0.8775, Acc.grandstand: 0.7445, Acc.path: 0.3502, Acc.stairs: 0.4188, Acc.runway: 0.8490, Acc.case: 0.5443, Acc.pool table: 0.9637, Acc.pillow: 0.6861, Acc.screen door: 0.8233, Acc.stairway: 0.3796, Acc.river: 0.3393, Acc.bridge: 0.8085, Acc.bookcase: 0.6559, Acc.blind: 0.4890, Acc.coffee table: 0.7803, Acc.toilet: 0.9105, Acc.flower: 0.5959, Acc.book: 0.6940, Acc.hill: 0.2171, Acc.bench: 0.5441, Acc.countertop: 0.7240, Acc.stove: 0.8877, Acc.palm: 0.6955, Acc.kitchen island: 0.6033, Acc.computer: 0.7505, Acc.swivel chair: 0.6045, Acc.boat: 0.5080, Acc.bar: 0.6428, Acc.arcade machine: 0.8256, Acc.hovel: 0.4537, Acc.bus: 0.9730, Acc.towel: 0.7623, Acc.light: 0.6081, Acc.truck: 0.5622, Acc.tower: 0.3681, Acc.chandelier: 0.8315, Acc.awning: 0.3729, Acc.streetlight: 0.3502, Acc.booth: 0.5245, Acc.television receiver: 0.8258, Acc.airplane: 0.7392, Acc.dirt track: 0.1911, Acc.apparel: 0.5180, Acc.pole: 0.2612, Acc.land: 0.0577, Acc.bannister: 0.2123, Acc.escalator: 0.7498, Acc.ottoman: 0.7085, Acc.bottle: 0.3758, Acc.buffet: 0.4753, Acc.poster: 0.4282, Acc.stage: 0.3177, Acc.van: 0.5721, Acc.ship: 0.1188, Acc.fountain: 0.2134, Acc.conveyer belt: 0.9272, Acc.canopy: 0.2062, Acc.washer: 0.7527, Acc.plaything: 0.4573, Acc.swimming pool: 0.7118, Acc.stool: 0.5961, Acc.barrel: 0.6657, Acc.basket: 0.4736, Acc.waterfall: 0.5913, Acc.tent: 0.9859, Acc.bag: 0.2174, Acc.minibike: 0.8494, Acc.cradle: 0.9544, Acc.oven: 0.7531, Acc.ball: 0.4605, Acc.food: 0.7328, Acc.step: 0.1443, Acc.tank: 0.6071, Acc.trade name: 0.3701, Acc.microwave: 0.4871, Acc.pot: 0.5152, Acc.animal: 0.6723, Acc.bicycle: 0.6535, Acc.lake: 0.7813, Acc.dishwasher: 0.7265, Acc.screen: 0.6877, Acc.blanket: 0.2393, Acc.sculpture: 0.7871, Acc.hood: 0.6752, Acc.sconce: 0.5594, Acc.vase: 0.5673, Acc.traffic light: 0.5788, Acc.tray: 0.1458, Acc.ashcan: 0.5646, Acc.fan: 0.7305, Acc.pier: 0.3972, Acc.crt screen: 0.1728, Acc.plate: 0.6985, Acc.monitor: 0.2021, Acc.bulletin board: 0.6961, Acc.shower: 0.0012, Acc.radiator: 0.6811, Acc.glass: 0.1532, Acc.clock: 0.4575, Acc.flag: 0.4816 2023-11-13 21:15:16,600 - mmseg - INFO - Iter [80050/160000] lr: 2.998e-05, eta: 5:27:28, time: 0.524, data_time: 0.285, memory: 5958, decode.loss_ce: 0.2065, decode.acc_seg: 91.4751, aux.loss_ce: 0.1198, aux.acc_seg: 88.3546, loss: 0.3263 2023-11-13 21:15:28,441 - mmseg - INFO - Iter [80100/160000] lr: 2.996e-05, eta: 5:27:15, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1986, decode.acc_seg: 91.8952, aux.loss_ce: 0.1160, aux.acc_seg: 88.8005, loss: 0.3146 2023-11-13 21:15:40,325 - mmseg - INFO - Iter [80150/160000] lr: 2.994e-05, eta: 5:27:03, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1973, decode.acc_seg: 91.6491, aux.loss_ce: 0.1132, aux.acc_seg: 88.9505, loss: 0.3105 2023-11-13 21:15:52,460 - mmseg - INFO - Iter [80200/160000] lr: 2.993e-05, eta: 5:26:50, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2193, decode.acc_seg: 90.9869, aux.loss_ce: 0.1303, aux.acc_seg: 87.3353, loss: 0.3497 2023-11-13 21:16:04,746 - mmseg - INFO - Iter [80250/160000] lr: 2.991e-05, eta: 5:26:38, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2253, decode.acc_seg: 90.7099, aux.loss_ce: 0.1277, aux.acc_seg: 87.4842, loss: 0.3530 2023-11-13 21:16:16,518 - mmseg - INFO - Iter [80300/160000] lr: 2.989e-05, eta: 5:26:25, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2254, decode.acc_seg: 90.6774, aux.loss_ce: 0.1301, aux.acc_seg: 87.5729, loss: 0.3555 2023-11-13 21:16:28,182 - mmseg - INFO - Iter [80350/160000] lr: 2.987e-05, eta: 5:26:12, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2069, decode.acc_seg: 90.9889, aux.loss_ce: 0.1206, aux.acc_seg: 87.6264, loss: 0.3274 2023-11-13 21:16:40,533 - mmseg - INFO - Iter [80400/160000] lr: 2.985e-05, eta: 5:26:00, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2099, decode.acc_seg: 91.4804, aux.loss_ce: 0.1171, aux.acc_seg: 88.6352, loss: 0.3269 2023-11-13 21:16:52,216 - mmseg - INFO - Iter [80450/160000] lr: 2.983e-05, eta: 5:25:47, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2110, decode.acc_seg: 91.1862, aux.loss_ce: 0.1194, aux.acc_seg: 88.3430, loss: 0.3304 2023-11-13 21:17:03,818 - mmseg - INFO - Iter [80500/160000] lr: 2.981e-05, eta: 5:25:34, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2046, decode.acc_seg: 91.1968, aux.loss_ce: 0.1225, aux.acc_seg: 87.6436, loss: 0.3272 2023-11-13 21:17:15,897 - mmseg - INFO - Iter [80550/160000] lr: 2.979e-05, eta: 5:25:22, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2083, decode.acc_seg: 90.9960, aux.loss_ce: 0.1194, aux.acc_seg: 87.9497, loss: 0.3277 2023-11-13 21:17:27,501 - mmseg - INFO - Iter [80600/160000] lr: 2.978e-05, eta: 5:25:09, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2098, decode.acc_seg: 91.3063, aux.loss_ce: 0.1192, aux.acc_seg: 88.4522, loss: 0.3290 2023-11-13 21:17:39,123 - mmseg - INFO - Iter [80650/160000] lr: 2.976e-05, eta: 5:24:56, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2085, decode.acc_seg: 91.1384, aux.loss_ce: 0.1222, aux.acc_seg: 88.1007, loss: 0.3307 2023-11-13 21:17:50,728 - mmseg - INFO - Iter [80700/160000] lr: 2.974e-05, eta: 5:24:43, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2164, decode.acc_seg: 91.1985, aux.loss_ce: 0.1234, aux.acc_seg: 88.3334, loss: 0.3398 2023-11-13 21:18:02,608 - mmseg - INFO - Iter [80750/160000] lr: 2.972e-05, eta: 5:24:30, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2061, decode.acc_seg: 91.5202, aux.loss_ce: 0.1229, aux.acc_seg: 88.2008, loss: 0.3290 2023-11-13 21:18:14,277 - mmseg - INFO - Iter [80800/160000] lr: 2.970e-05, eta: 5:24:17, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2068, decode.acc_seg: 91.4608, aux.loss_ce: 0.1173, aux.acc_seg: 88.5292, loss: 0.3240 2023-11-13 21:18:28,205 - mmseg - INFO - Iter [80850/160000] lr: 2.968e-05, eta: 5:24:07, time: 0.279, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2206, decode.acc_seg: 90.7842, aux.loss_ce: 0.1248, aux.acc_seg: 87.7427, loss: 0.3454 2023-11-13 21:18:39,988 - mmseg - INFO - Iter [80900/160000] lr: 2.966e-05, eta: 5:23:54, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2036, decode.acc_seg: 91.3192, aux.loss_ce: 0.1179, aux.acc_seg: 88.3133, loss: 0.3215 2023-11-13 21:18:53,187 - mmseg - INFO - Iter [80950/160000] lr: 2.964e-05, eta: 5:23:42, time: 0.264, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2076, decode.acc_seg: 91.3604, aux.loss_ce: 0.1230, aux.acc_seg: 87.9019, loss: 0.3306 2023-11-13 21:19:05,865 - mmseg - INFO - Saving checkpoint at 81000 iterations 2023-11-13 21:19:08,600 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:19:08,601 - mmseg - INFO - Iter [81000/160000] lr: 2.963e-05, eta: 5:23:33, time: 0.308, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2061, decode.acc_seg: 91.4781, aux.loss_ce: 0.1211, aux.acc_seg: 88.3575, loss: 0.3272 2023-11-13 21:19:20,303 - mmseg - INFO - Iter [81050/160000] lr: 2.961e-05, eta: 5:23:20, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2031, decode.acc_seg: 91.3862, aux.loss_ce: 0.1174, aux.acc_seg: 88.4109, loss: 0.3205 2023-11-13 21:19:32,865 - mmseg - INFO - Iter [81100/160000] lr: 2.959e-05, eta: 5:23:08, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2024, decode.acc_seg: 91.6747, aux.loss_ce: 0.1202, aux.acc_seg: 88.3652, loss: 0.3225 2023-11-13 21:19:44,731 - mmseg - INFO - Iter [81150/160000] lr: 2.957e-05, eta: 5:22:56, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2080, decode.acc_seg: 90.9292, aux.loss_ce: 0.1216, aux.acc_seg: 87.8049, loss: 0.3296 2023-11-13 21:19:56,988 - mmseg - INFO - Iter [81200/160000] lr: 2.955e-05, eta: 5:22:43, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2095, decode.acc_seg: 91.0637, aux.loss_ce: 0.1237, aux.acc_seg: 87.6895, loss: 0.3332 2023-11-13 21:20:08,886 - mmseg - INFO - Iter [81250/160000] lr: 2.953e-05, eta: 5:22:31, time: 0.238, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2076, decode.acc_seg: 91.5117, aux.loss_ce: 0.1219, aux.acc_seg: 88.2914, loss: 0.3296 2023-11-13 21:20:20,967 - mmseg - INFO - Iter [81300/160000] lr: 2.951e-05, eta: 5:22:18, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2016, decode.acc_seg: 91.6038, aux.loss_ce: 0.1166, aux.acc_seg: 88.4875, loss: 0.3182 2023-11-13 21:20:33,171 - mmseg - INFO - Iter [81350/160000] lr: 2.949e-05, eta: 5:22:06, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2145, decode.acc_seg: 90.9405, aux.loss_ce: 0.1235, aux.acc_seg: 87.7223, loss: 0.3380 2023-11-13 21:20:44,821 - mmseg - INFO - Iter [81400/160000] lr: 2.948e-05, eta: 5:21:53, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1956, decode.acc_seg: 91.7415, aux.loss_ce: 0.1136, aux.acc_seg: 88.7753, loss: 0.3092 2023-11-13 21:20:57,263 - mmseg - INFO - Iter [81450/160000] lr: 2.946e-05, eta: 5:21:41, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2171, decode.acc_seg: 91.0769, aux.loss_ce: 0.1262, aux.acc_seg: 87.7583, loss: 0.3433 2023-11-13 21:21:08,879 - mmseg - INFO - Iter [81500/160000] lr: 2.944e-05, eta: 5:21:28, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2116, decode.acc_seg: 91.2053, aux.loss_ce: 0.1238, aux.acc_seg: 87.9177, loss: 0.3354 2023-11-13 21:21:20,678 - mmseg - INFO - Iter [81550/160000] lr: 2.942e-05, eta: 5:21:15, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2056, decode.acc_seg: 91.5011, aux.loss_ce: 0.1183, aux.acc_seg: 88.6952, loss: 0.3239 2023-11-13 21:21:32,566 - mmseg - INFO - Iter [81600/160000] lr: 2.940e-05, eta: 5:21:02, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1891, decode.acc_seg: 92.0043, aux.loss_ce: 0.1099, aux.acc_seg: 89.1133, loss: 0.2990 2023-11-13 21:21:44,432 - mmseg - INFO - Iter [81650/160000] lr: 2.938e-05, eta: 5:20:50, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2003, decode.acc_seg: 91.7167, aux.loss_ce: 0.1144, aux.acc_seg: 88.8552, loss: 0.3147 2023-11-13 21:21:56,149 - mmseg - INFO - Iter [81700/160000] lr: 2.936e-05, eta: 5:20:37, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2153, decode.acc_seg: 91.3274, aux.loss_ce: 0.1247, aux.acc_seg: 88.1023, loss: 0.3400 2023-11-13 21:22:07,861 - mmseg - INFO - Iter [81750/160000] lr: 2.934e-05, eta: 5:20:24, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2046, decode.acc_seg: 91.3801, aux.loss_ce: 0.1187, aux.acc_seg: 88.2538, loss: 0.3233 2023-11-13 21:22:19,589 - mmseg - INFO - Iter [81800/160000] lr: 2.933e-05, eta: 5:20:11, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2013, decode.acc_seg: 91.5525, aux.loss_ce: 0.1173, aux.acc_seg: 88.4305, loss: 0.3186 2023-11-13 21:22:31,251 - mmseg - INFO - Iter [81850/160000] lr: 2.931e-05, eta: 5:19:58, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2131, decode.acc_seg: 91.0681, aux.loss_ce: 0.1260, aux.acc_seg: 87.8314, loss: 0.3391 2023-11-13 21:22:43,887 - mmseg - INFO - Iter [81900/160000] lr: 2.929e-05, eta: 5:19:46, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2165, decode.acc_seg: 91.3048, aux.loss_ce: 0.1250, aux.acc_seg: 88.1883, loss: 0.3415 2023-11-13 21:22:56,393 - mmseg - INFO - Iter [81950/160000] lr: 2.927e-05, eta: 5:19:34, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2140, decode.acc_seg: 91.2486, aux.loss_ce: 0.1218, aux.acc_seg: 88.2361, loss: 0.3358 2023-11-13 21:23:08,087 - mmseg - INFO - Saving checkpoint at 82000 iterations 2023-11-13 21:23:10,715 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:23:10,715 - mmseg - INFO - Iter [82000/160000] lr: 2.925e-05, eta: 5:19:24, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2209, decode.acc_seg: 91.0490, aux.loss_ce: 0.1262, aux.acc_seg: 87.9308, loss: 0.3471 2023-11-13 21:23:22,411 - mmseg - INFO - Iter [82050/160000] lr: 2.923e-05, eta: 5:19:11, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2202, decode.acc_seg: 91.1005, aux.loss_ce: 0.1273, aux.acc_seg: 87.8590, loss: 0.3475 2023-11-13 21:23:36,396 - mmseg - INFO - Iter [82100/160000] lr: 2.921e-05, eta: 5:19:00, time: 0.280, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2028, decode.acc_seg: 91.5956, aux.loss_ce: 0.1171, aux.acc_seg: 88.1770, loss: 0.3199 2023-11-13 21:23:48,201 - mmseg - INFO - Iter [82150/160000] lr: 2.919e-05, eta: 5:18:48, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2077, decode.acc_seg: 91.3661, aux.loss_ce: 0.1204, aux.acc_seg: 88.2512, loss: 0.3282 2023-11-13 21:24:00,607 - mmseg - INFO - Iter [82200/160000] lr: 2.918e-05, eta: 5:18:35, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2093, decode.acc_seg: 91.1702, aux.loss_ce: 0.1233, aux.acc_seg: 87.8728, loss: 0.3326 2023-11-13 21:24:12,425 - mmseg - INFO - Iter [82250/160000] lr: 2.916e-05, eta: 5:18:23, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1969, decode.acc_seg: 91.8193, aux.loss_ce: 0.1187, aux.acc_seg: 88.7401, loss: 0.3156 2023-11-13 21:24:24,210 - mmseg - INFO - Iter [82300/160000] lr: 2.914e-05, eta: 5:18:10, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1881, decode.acc_seg: 91.8764, aux.loss_ce: 0.1106, aux.acc_seg: 88.9449, loss: 0.2987 2023-11-13 21:24:35,800 - mmseg - INFO - Iter [82350/160000] lr: 2.912e-05, eta: 5:17:57, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2056, decode.acc_seg: 91.4520, aux.loss_ce: 0.1187, aux.acc_seg: 88.2315, loss: 0.3244 2023-11-13 21:24:47,854 - mmseg - INFO - Iter [82400/160000] lr: 2.910e-05, eta: 5:17:45, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2155, decode.acc_seg: 91.1886, aux.loss_ce: 0.1228, aux.acc_seg: 87.9584, loss: 0.3383 2023-11-13 21:24:59,628 - mmseg - INFO - Iter [82450/160000] lr: 2.908e-05, eta: 5:17:32, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2098, decode.acc_seg: 91.0776, aux.loss_ce: 0.1221, aux.acc_seg: 88.0455, loss: 0.3319 2023-11-13 21:25:11,234 - mmseg - INFO - Iter [82500/160000] lr: 2.906e-05, eta: 5:17:19, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2048, decode.acc_seg: 91.3988, aux.loss_ce: 0.1195, aux.acc_seg: 88.4042, loss: 0.3243 2023-11-13 21:25:22,874 - mmseg - INFO - Iter [82550/160000] lr: 2.904e-05, eta: 5:17:06, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2086, decode.acc_seg: 91.4637, aux.loss_ce: 0.1224, aux.acc_seg: 88.2631, loss: 0.3310 2023-11-13 21:25:35,761 - mmseg - INFO - Iter [82600/160000] lr: 2.903e-05, eta: 5:16:54, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2034, decode.acc_seg: 91.6223, aux.loss_ce: 0.1170, aux.acc_seg: 88.5246, loss: 0.3204 2023-11-13 21:25:47,441 - mmseg - INFO - Iter [82650/160000] lr: 2.901e-05, eta: 5:16:41, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2018, decode.acc_seg: 91.6477, aux.loss_ce: 0.1176, aux.acc_seg: 88.4292, loss: 0.3194 2023-11-13 21:25:59,349 - mmseg - INFO - Iter [82700/160000] lr: 2.899e-05, eta: 5:16:29, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2129, decode.acc_seg: 91.3137, aux.loss_ce: 0.1234, aux.acc_seg: 88.1280, loss: 0.3363 2023-11-13 21:26:10,946 - mmseg - INFO - Iter [82750/160000] lr: 2.897e-05, eta: 5:16:16, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1983, decode.acc_seg: 91.5223, aux.loss_ce: 0.1148, aux.acc_seg: 88.6584, loss: 0.3131 2023-11-13 21:26:22,698 - mmseg - INFO - Iter [82800/160000] lr: 2.895e-05, eta: 5:16:03, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2044, decode.acc_seg: 91.5746, aux.loss_ce: 0.1178, aux.acc_seg: 88.5195, loss: 0.3222 2023-11-13 21:26:34,349 - mmseg - INFO - Iter [82850/160000] lr: 2.893e-05, eta: 5:15:50, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2034, decode.acc_seg: 91.5918, aux.loss_ce: 0.1237, aux.acc_seg: 88.1518, loss: 0.3272 2023-11-13 21:26:46,169 - mmseg - INFO - Iter [82900/160000] lr: 2.891e-05, eta: 5:15:37, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2090, decode.acc_seg: 91.3679, aux.loss_ce: 0.1214, aux.acc_seg: 88.2151, loss: 0.3304 2023-11-13 21:26:58,532 - mmseg - INFO - Iter [82950/160000] lr: 2.889e-05, eta: 5:15:25, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2082, decode.acc_seg: 91.4438, aux.loss_ce: 0.1220, aux.acc_seg: 88.2048, loss: 0.3301 2023-11-13 21:27:11,570 - mmseg - INFO - Saving checkpoint at 83000 iterations 2023-11-13 21:27:14,179 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:27:14,179 - mmseg - INFO - Iter [83000/160000] lr: 2.888e-05, eta: 5:15:16, time: 0.313, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1871, decode.acc_seg: 92.0171, aux.loss_ce: 0.1119, aux.acc_seg: 88.8126, loss: 0.2989 2023-11-13 21:27:25,926 - mmseg - INFO - Iter [83050/160000] lr: 2.886e-05, eta: 5:15:03, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2117, decode.acc_seg: 91.1870, aux.loss_ce: 0.1180, aux.acc_seg: 88.4208, loss: 0.3297 2023-11-13 21:27:37,823 - mmseg - INFO - Iter [83100/160000] lr: 2.884e-05, eta: 5:14:51, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2134, decode.acc_seg: 91.0786, aux.loss_ce: 0.1185, aux.acc_seg: 88.2455, loss: 0.3319 2023-11-13 21:27:49,653 - mmseg - INFO - Iter [83150/160000] lr: 2.882e-05, eta: 5:14:38, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2026, decode.acc_seg: 91.2690, aux.loss_ce: 0.1200, aux.acc_seg: 87.9520, loss: 0.3226 2023-11-13 21:28:01,970 - mmseg - INFO - Iter [83200/160000] lr: 2.880e-05, eta: 5:14:26, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2085, decode.acc_seg: 91.1255, aux.loss_ce: 0.1230, aux.acc_seg: 87.6648, loss: 0.3314 2023-11-13 21:28:13,944 - mmseg - INFO - Iter [83250/160000] lr: 2.878e-05, eta: 5:14:13, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2055, decode.acc_seg: 91.3027, aux.loss_ce: 0.1160, aux.acc_seg: 88.5016, loss: 0.3215 2023-11-13 21:28:25,579 - mmseg - INFO - Iter [83300/160000] lr: 2.876e-05, eta: 5:14:00, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2055, decode.acc_seg: 91.4243, aux.loss_ce: 0.1186, aux.acc_seg: 88.4866, loss: 0.3241 2023-11-13 21:28:37,262 - mmseg - INFO - Iter [83350/160000] lr: 2.874e-05, eta: 5:13:47, time: 0.234, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2037, decode.acc_seg: 91.6089, aux.loss_ce: 0.1180, aux.acc_seg: 88.7116, loss: 0.3217 2023-11-13 21:28:51,467 - mmseg - INFO - Iter [83400/160000] lr: 2.873e-05, eta: 5:13:37, time: 0.284, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1965, decode.acc_seg: 91.6828, aux.loss_ce: 0.1148, aux.acc_seg: 88.8003, loss: 0.3113 2023-11-13 21:29:03,478 - mmseg - INFO - Iter [83450/160000] lr: 2.871e-05, eta: 5:13:24, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2095, decode.acc_seg: 91.2985, aux.loss_ce: 0.1202, aux.acc_seg: 88.2701, loss: 0.3296 2023-11-13 21:29:15,228 - mmseg - INFO - Iter [83500/160000] lr: 2.869e-05, eta: 5:13:12, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2058, decode.acc_seg: 91.3259, aux.loss_ce: 0.1241, aux.acc_seg: 87.6386, loss: 0.3300 2023-11-13 21:29:27,003 - mmseg - INFO - Iter [83550/160000] lr: 2.867e-05, eta: 5:12:59, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2024, decode.acc_seg: 91.6603, aux.loss_ce: 0.1200, aux.acc_seg: 88.4365, loss: 0.3224 2023-11-13 21:29:39,105 - mmseg - INFO - Iter [83600/160000] lr: 2.865e-05, eta: 5:12:46, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2074, decode.acc_seg: 91.4237, aux.loss_ce: 0.1219, aux.acc_seg: 88.2707, loss: 0.3292 2023-11-13 21:29:51,018 - mmseg - INFO - Iter [83650/160000] lr: 2.863e-05, eta: 5:12:34, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1980, decode.acc_seg: 91.3371, aux.loss_ce: 0.1151, aux.acc_seg: 88.2552, loss: 0.3131 2023-11-13 21:30:02,755 - mmseg - INFO - Iter [83700/160000] lr: 2.861e-05, eta: 5:12:21, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1994, decode.acc_seg: 91.7627, aux.loss_ce: 0.1166, aux.acc_seg: 88.6766, loss: 0.3160 2023-11-13 21:30:14,501 - mmseg - INFO - Iter [83750/160000] lr: 2.859e-05, eta: 5:12:08, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2062, decode.acc_seg: 91.2492, aux.loss_ce: 0.1159, aux.acc_seg: 88.5158, loss: 0.3221 2023-11-13 21:30:26,713 - mmseg - INFO - Iter [83800/160000] lr: 2.858e-05, eta: 5:11:56, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1988, decode.acc_seg: 91.7920, aux.loss_ce: 0.1164, aux.acc_seg: 88.6056, loss: 0.3153 2023-11-13 21:30:38,966 - mmseg - INFO - Iter [83850/160000] lr: 2.856e-05, eta: 5:11:44, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2051, decode.acc_seg: 91.3454, aux.loss_ce: 0.1176, aux.acc_seg: 88.4941, loss: 0.3227 2023-11-13 21:30:50,825 - mmseg - INFO - Iter [83900/160000] lr: 2.854e-05, eta: 5:11:31, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2004, decode.acc_seg: 91.4536, aux.loss_ce: 0.1187, aux.acc_seg: 88.1731, loss: 0.3191 2023-11-13 21:31:02,426 - mmseg - INFO - Iter [83950/160000] lr: 2.852e-05, eta: 5:11:18, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2079, decode.acc_seg: 91.3178, aux.loss_ce: 0.1204, aux.acc_seg: 88.1499, loss: 0.3282 2023-11-13 21:31:15,101 - mmseg - INFO - Saving checkpoint at 84000 iterations 2023-11-13 21:31:17,754 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:31:17,754 - mmseg - INFO - Iter [84000/160000] lr: 2.850e-05, eta: 5:11:09, time: 0.307, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1997, decode.acc_seg: 91.5930, aux.loss_ce: 0.1165, aux.acc_seg: 88.5760, loss: 0.3162 2023-11-13 21:31:30,590 - mmseg - INFO - Iter [84050/160000] lr: 2.848e-05, eta: 5:10:57, time: 0.257, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2146, decode.acc_seg: 91.3703, aux.loss_ce: 0.1242, aux.acc_seg: 88.3221, loss: 0.3388 2023-11-13 21:31:43,728 - mmseg - INFO - Iter [84100/160000] lr: 2.846e-05, eta: 5:10:45, time: 0.263, data_time: 0.006, memory: 5958, decode.loss_ce: 0.2060, decode.acc_seg: 91.4540, aux.loss_ce: 0.1192, aux.acc_seg: 88.4415, loss: 0.3252 2023-11-13 21:31:55,435 - mmseg - INFO - Iter [84150/160000] lr: 2.844e-05, eta: 5:10:32, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2108, decode.acc_seg: 91.2624, aux.loss_ce: 0.1178, aux.acc_seg: 88.5988, loss: 0.3286 2023-11-13 21:32:07,161 - mmseg - INFO - Iter [84200/160000] lr: 2.843e-05, eta: 5:10:20, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2155, decode.acc_seg: 91.1380, aux.loss_ce: 0.1234, aux.acc_seg: 88.0699, loss: 0.3389 2023-11-13 21:32:19,089 - mmseg - INFO - Iter [84250/160000] lr: 2.841e-05, eta: 5:10:07, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2143, decode.acc_seg: 90.9898, aux.loss_ce: 0.1276, aux.acc_seg: 87.6900, loss: 0.3419 2023-11-13 21:32:31,481 - mmseg - INFO - Iter [84300/160000] lr: 2.839e-05, eta: 5:09:55, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1979, decode.acc_seg: 91.9012, aux.loss_ce: 0.1179, aux.acc_seg: 88.5646, loss: 0.3158 2023-11-13 21:32:43,241 - mmseg - INFO - Iter [84350/160000] lr: 2.837e-05, eta: 5:09:42, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2002, decode.acc_seg: 91.5030, aux.loss_ce: 0.1158, aux.acc_seg: 88.4030, loss: 0.3160 2023-11-13 21:32:54,946 - mmseg - INFO - Iter [84400/160000] lr: 2.835e-05, eta: 5:09:29, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1948, decode.acc_seg: 91.8012, aux.loss_ce: 0.1135, aux.acc_seg: 88.7592, loss: 0.3083 2023-11-13 21:33:07,154 - mmseg - INFO - Iter [84450/160000] lr: 2.833e-05, eta: 5:09:17, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2155, decode.acc_seg: 91.1014, aux.loss_ce: 0.1235, aux.acc_seg: 87.9720, loss: 0.3390 2023-11-13 21:33:19,230 - mmseg - INFO - Iter [84500/160000] lr: 2.831e-05, eta: 5:09:05, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2069, decode.acc_seg: 91.3625, aux.loss_ce: 0.1244, aux.acc_seg: 88.0319, loss: 0.3313 2023-11-13 21:33:31,319 - mmseg - INFO - Iter [84550/160000] lr: 2.829e-05, eta: 5:08:52, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2070, decode.acc_seg: 91.5365, aux.loss_ce: 0.1204, aux.acc_seg: 88.3138, loss: 0.3273 2023-11-13 21:33:43,121 - mmseg - INFO - Iter [84600/160000] lr: 2.828e-05, eta: 5:08:39, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2040, decode.acc_seg: 91.5248, aux.loss_ce: 0.1179, aux.acc_seg: 88.5607, loss: 0.3219 2023-11-13 21:33:57,192 - mmseg - INFO - Iter [84650/160000] lr: 2.826e-05, eta: 5:08:29, time: 0.281, data_time: 0.050, memory: 5958, decode.loss_ce: 0.2093, decode.acc_seg: 91.0968, aux.loss_ce: 0.1211, aux.acc_seg: 88.0064, loss: 0.3304 2023-11-13 21:34:08,902 - mmseg - INFO - Iter [84700/160000] lr: 2.824e-05, eta: 5:08:16, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2106, decode.acc_seg: 91.4938, aux.loss_ce: 0.1240, aux.acc_seg: 88.3852, loss: 0.3346 2023-11-13 21:34:20,783 - mmseg - INFO - Iter [84750/160000] lr: 2.822e-05, eta: 5:08:03, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2098, decode.acc_seg: 91.4149, aux.loss_ce: 0.1199, aux.acc_seg: 88.3914, loss: 0.3297 2023-11-13 21:34:32,360 - mmseg - INFO - Iter [84800/160000] lr: 2.820e-05, eta: 5:07:50, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2006, decode.acc_seg: 91.3637, aux.loss_ce: 0.1166, aux.acc_seg: 88.2531, loss: 0.3172 2023-11-13 21:34:45,324 - mmseg - INFO - Iter [84850/160000] lr: 2.818e-05, eta: 5:07:39, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2152, decode.acc_seg: 91.0849, aux.loss_ce: 0.1255, aux.acc_seg: 87.9209, loss: 0.3407 2023-11-13 21:34:57,613 - mmseg - INFO - Iter [84900/160000] lr: 2.816e-05, eta: 5:07:26, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2123, decode.acc_seg: 91.4354, aux.loss_ce: 0.1228, aux.acc_seg: 88.5177, loss: 0.3351 2023-11-13 21:35:09,639 - mmseg - INFO - Iter [84950/160000] lr: 2.814e-05, eta: 5:07:14, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2025, decode.acc_seg: 91.4277, aux.loss_ce: 0.1189, aux.acc_seg: 88.2371, loss: 0.3215 2023-11-13 21:35:22,069 - mmseg - INFO - Saving checkpoint at 85000 iterations 2023-11-13 21:35:24,648 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:35:24,649 - mmseg - INFO - Iter [85000/160000] lr: 2.813e-05, eta: 5:07:04, time: 0.300, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1908, decode.acc_seg: 91.8649, aux.loss_ce: 0.1161, aux.acc_seg: 88.4531, loss: 0.3069 2023-11-13 21:35:36,960 - mmseg - INFO - Iter [85050/160000] lr: 2.811e-05, eta: 5:06:52, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1921, decode.acc_seg: 92.0482, aux.loss_ce: 0.1130, aux.acc_seg: 88.9675, loss: 0.3051 2023-11-13 21:35:49,054 - mmseg - INFO - Iter [85100/160000] lr: 2.809e-05, eta: 5:06:39, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1992, decode.acc_seg: 91.6710, aux.loss_ce: 0.1167, aux.acc_seg: 88.5458, loss: 0.3159 2023-11-13 21:36:00,799 - mmseg - INFO - Iter [85150/160000] lr: 2.807e-05, eta: 5:06:27, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1949, decode.acc_seg: 91.8227, aux.loss_ce: 0.1143, aux.acc_seg: 88.9296, loss: 0.3092 2023-11-13 21:36:13,111 - mmseg - INFO - Iter [85200/160000] lr: 2.805e-05, eta: 5:06:14, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2142, decode.acc_seg: 91.2152, aux.loss_ce: 0.1206, aux.acc_seg: 88.5227, loss: 0.3348 2023-11-13 21:36:25,015 - mmseg - INFO - Iter [85250/160000] lr: 2.803e-05, eta: 5:06:02, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2092, decode.acc_seg: 91.4336, aux.loss_ce: 0.1201, aux.acc_seg: 88.2129, loss: 0.3293 2023-11-13 21:36:37,254 - mmseg - INFO - Iter [85300/160000] lr: 2.801e-05, eta: 5:05:49, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2067, decode.acc_seg: 91.3153, aux.loss_ce: 0.1197, aux.acc_seg: 88.4139, loss: 0.3264 2023-11-13 21:36:49,134 - mmseg - INFO - Iter [85350/160000] lr: 2.799e-05, eta: 5:05:37, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1983, decode.acc_seg: 91.5446, aux.loss_ce: 0.1178, aux.acc_seg: 88.2800, loss: 0.3161 2023-11-13 21:37:00,751 - mmseg - INFO - Iter [85400/160000] lr: 2.798e-05, eta: 5:05:24, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2022, decode.acc_seg: 91.6281, aux.loss_ce: 0.1152, aux.acc_seg: 88.8137, loss: 0.3174 2023-11-13 21:37:12,616 - mmseg - INFO - Iter [85450/160000] lr: 2.796e-05, eta: 5:05:11, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2090, decode.acc_seg: 91.2021, aux.loss_ce: 0.1237, aux.acc_seg: 88.0037, loss: 0.3328 2023-11-13 21:37:25,268 - mmseg - INFO - Iter [85500/160000] lr: 2.794e-05, eta: 5:04:59, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1991, decode.acc_seg: 91.6681, aux.loss_ce: 0.1152, aux.acc_seg: 88.6327, loss: 0.3143 2023-11-13 21:37:36,909 - mmseg - INFO - Iter [85550/160000] lr: 2.792e-05, eta: 5:04:46, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1884, decode.acc_seg: 92.2181, aux.loss_ce: 0.1101, aux.acc_seg: 89.2738, loss: 0.2984 2023-11-13 21:37:48,481 - mmseg - INFO - Iter [85600/160000] lr: 2.790e-05, eta: 5:04:34, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1999, decode.acc_seg: 91.5967, aux.loss_ce: 0.1234, aux.acc_seg: 87.7478, loss: 0.3234 2023-11-13 21:38:00,516 - mmseg - INFO - Iter [85650/160000] lr: 2.788e-05, eta: 5:04:21, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2062, decode.acc_seg: 91.4490, aux.loss_ce: 0.1197, aux.acc_seg: 88.4366, loss: 0.3259 2023-11-13 21:38:12,366 - mmseg - INFO - Iter [85700/160000] lr: 2.786e-05, eta: 5:04:08, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2096, decode.acc_seg: 91.2748, aux.loss_ce: 0.1199, aux.acc_seg: 88.2743, loss: 0.3295 2023-11-13 21:38:24,092 - mmseg - INFO - Iter [85750/160000] lr: 2.784e-05, eta: 5:03:56, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2145, decode.acc_seg: 91.0868, aux.loss_ce: 0.1271, aux.acc_seg: 87.6435, loss: 0.3416 2023-11-13 21:38:35,698 - mmseg - INFO - Iter [85800/160000] lr: 2.783e-05, eta: 5:03:43, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2001, decode.acc_seg: 91.4711, aux.loss_ce: 0.1147, aux.acc_seg: 88.6312, loss: 0.3148 2023-11-13 21:38:47,686 - mmseg - INFO - Iter [85850/160000] lr: 2.781e-05, eta: 5:03:30, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2161, decode.acc_seg: 91.1068, aux.loss_ce: 0.1247, aux.acc_seg: 87.9117, loss: 0.3408 2023-11-13 21:39:02,732 - mmseg - INFO - Iter [85900/160000] lr: 2.779e-05, eta: 5:03:20, time: 0.300, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2061, decode.acc_seg: 91.3002, aux.loss_ce: 0.1193, aux.acc_seg: 88.0765, loss: 0.3254 2023-11-13 21:39:15,540 - mmseg - INFO - Iter [85950/160000] lr: 2.777e-05, eta: 5:03:08, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2024, decode.acc_seg: 91.5937, aux.loss_ce: 0.1228, aux.acc_seg: 87.9731, loss: 0.3252 2023-11-13 21:39:27,299 - mmseg - INFO - Saving checkpoint at 86000 iterations 2023-11-13 21:39:29,852 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:39:29,852 - mmseg - INFO - Iter [86000/160000] lr: 2.775e-05, eta: 5:02:58, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2041, decode.acc_seg: 91.6817, aux.loss_ce: 0.1185, aux.acc_seg: 88.6128, loss: 0.3226 2023-11-13 21:39:41,709 - mmseg - INFO - Iter [86050/160000] lr: 2.773e-05, eta: 5:02:45, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2091, decode.acc_seg: 91.4640, aux.loss_ce: 0.1221, aux.acc_seg: 88.2159, loss: 0.3312 2023-11-13 21:39:53,576 - mmseg - INFO - Iter [86100/160000] lr: 2.771e-05, eta: 5:02:33, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1883, decode.acc_seg: 92.1341, aux.loss_ce: 0.1108, aux.acc_seg: 89.0744, loss: 0.2992 2023-11-13 21:40:05,782 - mmseg - INFO - Iter [86150/160000] lr: 2.769e-05, eta: 5:02:20, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1884, decode.acc_seg: 92.0044, aux.loss_ce: 0.1120, aux.acc_seg: 88.8847, loss: 0.3003 2023-11-13 21:40:18,367 - mmseg - INFO - Iter [86200/160000] lr: 2.768e-05, eta: 5:02:08, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2096, decode.acc_seg: 91.3720, aux.loss_ce: 0.1223, aux.acc_seg: 88.5526, loss: 0.3319 2023-11-13 21:40:30,277 - mmseg - INFO - Iter [86250/160000] lr: 2.766e-05, eta: 5:01:56, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2013, decode.acc_seg: 91.5317, aux.loss_ce: 0.1167, aux.acc_seg: 88.5956, loss: 0.3181 2023-11-13 21:40:42,439 - mmseg - INFO - Iter [86300/160000] lr: 2.764e-05, eta: 5:01:43, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2022, decode.acc_seg: 91.4885, aux.loss_ce: 0.1167, aux.acc_seg: 88.5140, loss: 0.3189 2023-11-13 21:40:54,316 - mmseg - INFO - Iter [86350/160000] lr: 2.762e-05, eta: 5:01:31, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2135, decode.acc_seg: 90.9537, aux.loss_ce: 0.1231, aux.acc_seg: 88.0355, loss: 0.3366 2023-11-13 21:41:05,949 - mmseg - INFO - Iter [86400/160000] lr: 2.760e-05, eta: 5:01:18, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2003, decode.acc_seg: 91.7227, aux.loss_ce: 0.1173, aux.acc_seg: 88.6118, loss: 0.3177 2023-11-13 21:41:17,580 - mmseg - INFO - Iter [86450/160000] lr: 2.758e-05, eta: 5:01:05, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2056, decode.acc_seg: 91.2813, aux.loss_ce: 0.1194, aux.acc_seg: 88.2267, loss: 0.3249 2023-11-13 21:41:30,127 - mmseg - INFO - Iter [86500/160000] lr: 2.756e-05, eta: 5:00:53, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2016, decode.acc_seg: 91.6371, aux.loss_ce: 0.1134, aux.acc_seg: 88.6922, loss: 0.3150 2023-11-13 21:41:41,854 - mmseg - INFO - Iter [86550/160000] lr: 2.754e-05, eta: 5:00:40, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2074, decode.acc_seg: 91.5166, aux.loss_ce: 0.1212, aux.acc_seg: 88.3214, loss: 0.3287 2023-11-13 21:41:54,249 - mmseg - INFO - Iter [86600/160000] lr: 2.753e-05, eta: 5:00:28, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1938, decode.acc_seg: 91.6837, aux.loss_ce: 0.1117, aux.acc_seg: 89.0397, loss: 0.3054 2023-11-13 21:42:05,832 - mmseg - INFO - Iter [86650/160000] lr: 2.751e-05, eta: 5:00:15, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2066, decode.acc_seg: 91.4109, aux.loss_ce: 0.1182, aux.acc_seg: 88.2711, loss: 0.3248 2023-11-13 21:42:17,810 - mmseg - INFO - Iter [86700/160000] lr: 2.749e-05, eta: 5:00:03, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1992, decode.acc_seg: 91.5947, aux.loss_ce: 0.1175, aux.acc_seg: 88.5264, loss: 0.3168 2023-11-13 21:42:29,569 - mmseg - INFO - Iter [86750/160000] lr: 2.747e-05, eta: 4:59:50, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2090, decode.acc_seg: 91.3359, aux.loss_ce: 0.1207, aux.acc_seg: 88.3443, loss: 0.3297 2023-11-13 21:42:41,197 - mmseg - INFO - Iter [86800/160000] lr: 2.745e-05, eta: 4:59:37, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2044, decode.acc_seg: 91.3531, aux.loss_ce: 0.1175, aux.acc_seg: 88.4184, loss: 0.3219 2023-11-13 21:42:52,840 - mmseg - INFO - Iter [86850/160000] lr: 2.743e-05, eta: 4:59:24, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1957, decode.acc_seg: 91.8823, aux.loss_ce: 0.1126, aux.acc_seg: 89.1087, loss: 0.3083 2023-11-13 21:43:04,744 - mmseg - INFO - Iter [86900/160000] lr: 2.741e-05, eta: 4:59:12, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1964, decode.acc_seg: 91.7646, aux.loss_ce: 0.1136, aux.acc_seg: 88.8287, loss: 0.3099 2023-11-13 21:43:16,482 - mmseg - INFO - Iter [86950/160000] lr: 2.739e-05, eta: 4:58:59, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2025, decode.acc_seg: 91.5914, aux.loss_ce: 0.1182, aux.acc_seg: 88.5724, loss: 0.3207 2023-11-13 21:43:28,035 - mmseg - INFO - Saving checkpoint at 87000 iterations 2023-11-13 21:43:30,813 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:43:30,813 - mmseg - INFO - Iter [87000/160000] lr: 2.738e-05, eta: 4:58:48, time: 0.287, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2063, decode.acc_seg: 91.5651, aux.loss_ce: 0.1182, aux.acc_seg: 88.6359, loss: 0.3245 2023-11-13 21:43:42,461 - mmseg - INFO - Iter [87050/160000] lr: 2.736e-05, eta: 4:58:36, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1994, decode.acc_seg: 91.6123, aux.loss_ce: 0.1167, aux.acc_seg: 88.5524, loss: 0.3161 2023-11-13 21:43:54,518 - mmseg - INFO - Iter [87100/160000] lr: 2.734e-05, eta: 4:58:23, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2093, decode.acc_seg: 91.4441, aux.loss_ce: 0.1174, aux.acc_seg: 88.7769, loss: 0.3267 2023-11-13 21:44:08,551 - mmseg - INFO - Iter [87150/160000] lr: 2.732e-05, eta: 4:58:12, time: 0.281, data_time: 0.049, memory: 5958, decode.loss_ce: 0.2023, decode.acc_seg: 91.3976, aux.loss_ce: 0.1176, aux.acc_seg: 88.4240, loss: 0.3198 2023-11-13 21:44:21,713 - mmseg - INFO - Iter [87200/160000] lr: 2.730e-05, eta: 4:58:01, time: 0.263, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1955, decode.acc_seg: 91.7412, aux.loss_ce: 0.1148, aux.acc_seg: 88.5556, loss: 0.3103 2023-11-13 21:44:33,519 - mmseg - INFO - Iter [87250/160000] lr: 2.728e-05, eta: 4:57:48, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2035, decode.acc_seg: 91.6048, aux.loss_ce: 0.1159, aux.acc_seg: 88.7291, loss: 0.3194 2023-11-13 21:44:45,140 - mmseg - INFO - Iter [87300/160000] lr: 2.726e-05, eta: 4:57:35, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2029, decode.acc_seg: 91.4385, aux.loss_ce: 0.1179, aux.acc_seg: 88.3510, loss: 0.3208 2023-11-13 21:44:56,831 - mmseg - INFO - Iter [87350/160000] lr: 2.724e-05, eta: 4:57:22, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2047, decode.acc_seg: 91.3049, aux.loss_ce: 0.1205, aux.acc_seg: 87.8915, loss: 0.3252 2023-11-13 21:45:08,563 - mmseg - INFO - Iter [87400/160000] lr: 2.723e-05, eta: 4:57:10, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2070, decode.acc_seg: 91.3422, aux.loss_ce: 0.1200, aux.acc_seg: 88.1653, loss: 0.3270 2023-11-13 21:45:20,212 - mmseg - INFO - Iter [87450/160000] lr: 2.721e-05, eta: 4:56:57, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1958, decode.acc_seg: 91.8706, aux.loss_ce: 0.1151, aux.acc_seg: 88.9309, loss: 0.3109 2023-11-13 21:45:32,754 - mmseg - INFO - Iter [87500/160000] lr: 2.719e-05, eta: 4:56:45, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2161, decode.acc_seg: 90.9204, aux.loss_ce: 0.1272, aux.acc_seg: 87.4866, loss: 0.3433 2023-11-13 21:45:44,718 - mmseg - INFO - Iter [87550/160000] lr: 2.717e-05, eta: 4:56:32, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1993, decode.acc_seg: 91.6229, aux.loss_ce: 0.1184, aux.acc_seg: 88.3992, loss: 0.3177 2023-11-13 21:45:57,219 - mmseg - INFO - Iter [87600/160000] lr: 2.715e-05, eta: 4:56:20, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1945, decode.acc_seg: 91.7996, aux.loss_ce: 0.1146, aux.acc_seg: 88.8818, loss: 0.3091 2023-11-13 21:46:09,830 - mmseg - INFO - Iter [87650/160000] lr: 2.713e-05, eta: 4:56:08, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2082, decode.acc_seg: 91.2589, aux.loss_ce: 0.1248, aux.acc_seg: 87.7421, loss: 0.3330 2023-11-13 21:46:21,756 - mmseg - INFO - Iter [87700/160000] lr: 2.711e-05, eta: 4:55:56, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2071, decode.acc_seg: 91.3501, aux.loss_ce: 0.1181, aux.acc_seg: 88.3214, loss: 0.3252 2023-11-13 21:46:33,381 - mmseg - INFO - Iter [87750/160000] lr: 2.709e-05, eta: 4:55:43, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1888, decode.acc_seg: 91.8424, aux.loss_ce: 0.1142, aux.acc_seg: 88.6406, loss: 0.3029 2023-11-13 21:46:45,177 - mmseg - INFO - Iter [87800/160000] lr: 2.708e-05, eta: 4:55:30, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1978, decode.acc_seg: 91.8384, aux.loss_ce: 0.1171, aux.acc_seg: 88.7732, loss: 0.3150 2023-11-13 21:46:57,416 - mmseg - INFO - Iter [87850/160000] lr: 2.706e-05, eta: 4:55:18, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2115, decode.acc_seg: 91.2388, aux.loss_ce: 0.1246, aux.acc_seg: 87.8431, loss: 0.3360 2023-11-13 21:47:09,204 - mmseg - INFO - Iter [87900/160000] lr: 2.704e-05, eta: 4:55:05, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2089, decode.acc_seg: 91.3438, aux.loss_ce: 0.1216, aux.acc_seg: 88.3605, loss: 0.3305 2023-11-13 21:47:21,104 - mmseg - INFO - Iter [87950/160000] lr: 2.702e-05, eta: 4:54:53, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1940, decode.acc_seg: 91.9059, aux.loss_ce: 0.1106, aux.acc_seg: 89.0216, loss: 0.3046 2023-11-13 21:47:33,544 - mmseg - INFO - Saving checkpoint at 88000 iterations 2023-11-13 21:47:36,309 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:47:36,309 - mmseg - INFO - Iter [88000/160000] lr: 2.700e-05, eta: 4:54:43, time: 0.305, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2054, decode.acc_seg: 91.4726, aux.loss_ce: 0.1187, aux.acc_seg: 88.4342, loss: 0.3241 2023-11-13 21:47:48,727 - mmseg - INFO - Iter [88050/160000] lr: 2.698e-05, eta: 4:54:30, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1872, decode.acc_seg: 92.0976, aux.loss_ce: 0.1110, aux.acc_seg: 88.8540, loss: 0.2982 2023-11-13 21:48:00,706 - mmseg - INFO - Iter [88100/160000] lr: 2.696e-05, eta: 4:54:18, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2064, decode.acc_seg: 91.3258, aux.loss_ce: 0.1202, aux.acc_seg: 88.4647, loss: 0.3266 2023-11-13 21:48:12,951 - mmseg - INFO - Iter [88150/160000] lr: 2.694e-05, eta: 4:54:06, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1963, decode.acc_seg: 91.7771, aux.loss_ce: 0.1154, aux.acc_seg: 88.6558, loss: 0.3117 2023-11-13 21:48:24,714 - mmseg - INFO - Iter [88200/160000] lr: 2.693e-05, eta: 4:53:53, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2001, decode.acc_seg: 91.5135, aux.loss_ce: 0.1180, aux.acc_seg: 88.4195, loss: 0.3181 2023-11-13 21:48:36,816 - mmseg - INFO - Iter [88250/160000] lr: 2.691e-05, eta: 4:53:41, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2034, decode.acc_seg: 91.5924, aux.loss_ce: 0.1165, aux.acc_seg: 88.7343, loss: 0.3199 2023-11-13 21:48:48,843 - mmseg - INFO - Iter [88300/160000] lr: 2.689e-05, eta: 4:53:28, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1889, decode.acc_seg: 92.0607, aux.loss_ce: 0.1132, aux.acc_seg: 88.8521, loss: 0.3021 2023-11-13 21:49:00,427 - mmseg - INFO - Iter [88350/160000] lr: 2.687e-05, eta: 4:53:15, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1995, decode.acc_seg: 91.7976, aux.loss_ce: 0.1164, aux.acc_seg: 88.7413, loss: 0.3159 2023-11-13 21:49:12,030 - mmseg - INFO - Iter [88400/160000] lr: 2.685e-05, eta: 4:53:02, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2091, decode.acc_seg: 91.1207, aux.loss_ce: 0.1211, aux.acc_seg: 88.0432, loss: 0.3302 2023-11-13 21:49:26,630 - mmseg - INFO - Iter [88450/160000] lr: 2.683e-05, eta: 4:52:52, time: 0.292, data_time: 0.048, memory: 5958, decode.loss_ce: 0.2009, decode.acc_seg: 91.4191, aux.loss_ce: 0.1181, aux.acc_seg: 88.3360, loss: 0.3190 2023-11-13 21:49:39,413 - mmseg - INFO - Iter [88500/160000] lr: 2.681e-05, eta: 4:52:40, time: 0.255, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1897, decode.acc_seg: 91.9710, aux.loss_ce: 0.1163, aux.acc_seg: 88.5159, loss: 0.3060 2023-11-13 21:49:51,645 - mmseg - INFO - Iter [88550/160000] lr: 2.679e-05, eta: 4:52:28, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1988, decode.acc_seg: 91.7409, aux.loss_ce: 0.1147, aux.acc_seg: 88.6428, loss: 0.3135 2023-11-13 21:50:03,347 - mmseg - INFO - Iter [88600/160000] lr: 2.678e-05, eta: 4:52:15, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2076, decode.acc_seg: 91.2834, aux.loss_ce: 0.1235, aux.acc_seg: 88.0516, loss: 0.3310 2023-11-13 21:50:15,274 - mmseg - INFO - Iter [88650/160000] lr: 2.676e-05, eta: 4:52:02, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1913, decode.acc_seg: 91.9560, aux.loss_ce: 0.1120, aux.acc_seg: 89.0872, loss: 0.3032 2023-11-13 21:50:27,023 - mmseg - INFO - Iter [88700/160000] lr: 2.674e-05, eta: 4:51:50, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2044, decode.acc_seg: 91.5443, aux.loss_ce: 0.1221, aux.acc_seg: 88.1200, loss: 0.3265 2023-11-13 21:50:39,590 - mmseg - INFO - Iter [88750/160000] lr: 2.672e-05, eta: 4:51:38, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2011, decode.acc_seg: 91.5239, aux.loss_ce: 0.1179, aux.acc_seg: 88.5765, loss: 0.3190 2023-11-13 21:50:51,305 - mmseg - INFO - Iter [88800/160000] lr: 2.670e-05, eta: 4:51:25, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1901, decode.acc_seg: 91.6832, aux.loss_ce: 0.1129, aux.acc_seg: 88.5178, loss: 0.3030 2023-11-13 21:51:02,973 - mmseg - INFO - Iter [88850/160000] lr: 2.668e-05, eta: 4:51:12, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1979, decode.acc_seg: 91.8311, aux.loss_ce: 0.1180, aux.acc_seg: 88.5669, loss: 0.3158 2023-11-13 21:51:15,601 - mmseg - INFO - Iter [88900/160000] lr: 2.666e-05, eta: 4:51:00, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1894, decode.acc_seg: 91.8576, aux.loss_ce: 0.1120, aux.acc_seg: 88.9477, loss: 0.3014 2023-11-13 21:51:28,758 - mmseg - INFO - Iter [88950/160000] lr: 2.664e-05, eta: 4:50:49, time: 0.263, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1991, decode.acc_seg: 91.7479, aux.loss_ce: 0.1197, aux.acc_seg: 88.3315, loss: 0.3188 2023-11-13 21:51:40,648 - mmseg - INFO - Saving checkpoint at 89000 iterations 2023-11-13 21:51:43,227 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:51:43,227 - mmseg - INFO - Iter [89000/160000] lr: 2.663e-05, eta: 4:50:38, time: 0.289, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1897, decode.acc_seg: 92.2925, aux.loss_ce: 0.1095, aux.acc_seg: 89.5341, loss: 0.2992 2023-11-13 21:51:55,853 - mmseg - INFO - Iter [89050/160000] lr: 2.661e-05, eta: 4:50:26, time: 0.252, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1967, decode.acc_seg: 91.7931, aux.loss_ce: 0.1149, aux.acc_seg: 88.8402, loss: 0.3116 2023-11-13 21:52:08,123 - mmseg - INFO - Iter [89100/160000] lr: 2.659e-05, eta: 4:50:14, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1873, decode.acc_seg: 91.9608, aux.loss_ce: 0.1112, aux.acc_seg: 88.8264, loss: 0.2984 2023-11-13 21:52:19,747 - mmseg - INFO - Iter [89150/160000] lr: 2.657e-05, eta: 4:50:01, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1993, decode.acc_seg: 91.7071, aux.loss_ce: 0.1122, aux.acc_seg: 89.0520, loss: 0.3115 2023-11-13 21:52:32,179 - mmseg - INFO - Iter [89200/160000] lr: 2.655e-05, eta: 4:49:49, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2001, decode.acc_seg: 91.6112, aux.loss_ce: 0.1191, aux.acc_seg: 88.2919, loss: 0.3192 2023-11-13 21:52:44,286 - mmseg - INFO - Iter [89250/160000] lr: 2.653e-05, eta: 4:49:36, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1971, decode.acc_seg: 91.7443, aux.loss_ce: 0.1157, aux.acc_seg: 88.8590, loss: 0.3128 2023-11-13 21:52:55,869 - mmseg - INFO - Iter [89300/160000] lr: 2.651e-05, eta: 4:49:24, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2022, decode.acc_seg: 91.6456, aux.loss_ce: 0.1179, aux.acc_seg: 88.5702, loss: 0.3201 2023-11-13 21:53:07,575 - mmseg - INFO - Iter [89350/160000] lr: 2.649e-05, eta: 4:49:11, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2079, decode.acc_seg: 91.4230, aux.loss_ce: 0.1229, aux.acc_seg: 88.0632, loss: 0.3308 2023-11-13 21:53:19,538 - mmseg - INFO - Iter [89400/160000] lr: 2.648e-05, eta: 4:48:58, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2047, decode.acc_seg: 91.2949, aux.loss_ce: 0.1190, aux.acc_seg: 88.2167, loss: 0.3237 2023-11-13 21:53:31,639 - mmseg - INFO - Iter [89450/160000] lr: 2.646e-05, eta: 4:48:46, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2014, decode.acc_seg: 91.8159, aux.loss_ce: 0.1142, aux.acc_seg: 89.1239, loss: 0.3155 2023-11-13 21:53:43,345 - mmseg - INFO - Iter [89500/160000] lr: 2.644e-05, eta: 4:48:33, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1851, decode.acc_seg: 92.0391, aux.loss_ce: 0.1122, aux.acc_seg: 88.6253, loss: 0.2972 2023-11-13 21:53:55,254 - mmseg - INFO - Iter [89550/160000] lr: 2.642e-05, eta: 4:48:21, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1954, decode.acc_seg: 91.9276, aux.loss_ce: 0.1149, aux.acc_seg: 88.8001, loss: 0.3103 2023-11-13 21:54:06,889 - mmseg - INFO - Iter [89600/160000] lr: 2.640e-05, eta: 4:48:08, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2035, decode.acc_seg: 91.4969, aux.loss_ce: 0.1181, aux.acc_seg: 88.6117, loss: 0.3216 2023-11-13 21:54:18,536 - mmseg - INFO - Iter [89650/160000] lr: 2.638e-05, eta: 4:47:55, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2004, decode.acc_seg: 91.4620, aux.loss_ce: 0.1162, aux.acc_seg: 88.5755, loss: 0.3166 2023-11-13 21:54:33,236 - mmseg - INFO - Iter [89700/160000] lr: 2.636e-05, eta: 4:47:45, time: 0.294, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1874, decode.acc_seg: 91.9329, aux.loss_ce: 0.1081, aux.acc_seg: 89.1532, loss: 0.2955 2023-11-13 21:54:45,234 - mmseg - INFO - Iter [89750/160000] lr: 2.634e-05, eta: 4:47:32, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1841, decode.acc_seg: 92.2495, aux.loss_ce: 0.1089, aux.acc_seg: 89.1895, loss: 0.2930 2023-11-13 21:54:56,953 - mmseg - INFO - Iter [89800/160000] lr: 2.633e-05, eta: 4:47:19, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1794, decode.acc_seg: 92.3783, aux.loss_ce: 0.1059, aux.acc_seg: 89.4615, loss: 0.2853 2023-11-13 21:55:08,843 - mmseg - INFO - Iter [89850/160000] lr: 2.631e-05, eta: 4:47:07, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1954, decode.acc_seg: 91.8646, aux.loss_ce: 0.1150, aux.acc_seg: 88.8955, loss: 0.3104 2023-11-13 21:55:23,087 - mmseg - INFO - Iter [89900/160000] lr: 2.629e-05, eta: 4:46:56, time: 0.285, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1972, decode.acc_seg: 91.8179, aux.loss_ce: 0.1161, aux.acc_seg: 88.6327, loss: 0.3134 2023-11-13 21:55:37,161 - mmseg - INFO - Iter [89950/160000] lr: 2.627e-05, eta: 4:46:45, time: 0.281, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1879, decode.acc_seg: 92.3824, aux.loss_ce: 0.1117, aux.acc_seg: 89.3935, loss: 0.2996 2023-11-13 21:55:49,041 - mmseg - INFO - Saving checkpoint at 90000 iterations 2023-11-13 21:55:51,835 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:55:51,835 - mmseg - INFO - Iter [90000/160000] lr: 2.625e-05, eta: 4:46:35, time: 0.294, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2088, decode.acc_seg: 91.4863, aux.loss_ce: 0.1221, aux.acc_seg: 88.2785, loss: 0.3309 2023-11-13 21:56:04,088 - mmseg - INFO - Iter [90050/160000] lr: 2.623e-05, eta: 4:46:23, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1975, decode.acc_seg: 91.8656, aux.loss_ce: 0.1190, aux.acc_seg: 88.7035, loss: 0.3165 2023-11-13 21:56:16,027 - mmseg - INFO - Iter [90100/160000] lr: 2.621e-05, eta: 4:46:10, time: 0.239, data_time: 0.008, memory: 5958, decode.loss_ce: 0.1994, decode.acc_seg: 91.6348, aux.loss_ce: 0.1165, aux.acc_seg: 88.6805, loss: 0.3159 2023-11-13 21:56:27,909 - mmseg - INFO - Iter [90150/160000] lr: 2.619e-05, eta: 4:45:57, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2057, decode.acc_seg: 91.4160, aux.loss_ce: 0.1181, aux.acc_seg: 88.3746, loss: 0.3238 2023-11-13 21:56:40,334 - mmseg - INFO - Iter [90200/160000] lr: 2.618e-05, eta: 4:45:45, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1985, decode.acc_seg: 91.3189, aux.loss_ce: 0.1192, aux.acc_seg: 88.2239, loss: 0.3177 2023-11-13 21:56:53,439 - mmseg - INFO - Iter [90250/160000] lr: 2.616e-05, eta: 4:45:34, time: 0.263, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1978, decode.acc_seg: 91.8640, aux.loss_ce: 0.1114, aux.acc_seg: 89.1144, loss: 0.3092 2023-11-13 21:57:05,149 - mmseg - INFO - Iter [90300/160000] lr: 2.614e-05, eta: 4:45:21, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2003, decode.acc_seg: 91.5559, aux.loss_ce: 0.1149, aux.acc_seg: 88.7900, loss: 0.3152 2023-11-13 21:57:16,895 - mmseg - INFO - Iter [90350/160000] lr: 2.612e-05, eta: 4:45:08, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2092, decode.acc_seg: 91.0480, aux.loss_ce: 0.1219, aux.acc_seg: 87.9885, loss: 0.3311 2023-11-13 21:57:28,513 - mmseg - INFO - Iter [90400/160000] lr: 2.610e-05, eta: 4:44:55, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2204, decode.acc_seg: 90.9818, aux.loss_ce: 0.1241, aux.acc_seg: 88.3601, loss: 0.3445 2023-11-13 21:57:40,307 - mmseg - INFO - Iter [90450/160000] lr: 2.608e-05, eta: 4:44:43, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1872, decode.acc_seg: 92.1179, aux.loss_ce: 0.1063, aux.acc_seg: 89.4996, loss: 0.2935 2023-11-13 21:57:53,248 - mmseg - INFO - Iter [90500/160000] lr: 2.606e-05, eta: 4:44:31, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2051, decode.acc_seg: 91.6302, aux.loss_ce: 0.1216, aux.acc_seg: 88.3977, loss: 0.3267 2023-11-13 21:58:04,824 - mmseg - INFO - Iter [90550/160000] lr: 2.604e-05, eta: 4:44:18, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1985, decode.acc_seg: 91.6587, aux.loss_ce: 0.1167, aux.acc_seg: 88.6755, loss: 0.3152 2023-11-13 21:58:16,473 - mmseg - INFO - Iter [90600/160000] lr: 2.603e-05, eta: 4:44:05, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2073, decode.acc_seg: 91.6095, aux.loss_ce: 0.1199, aux.acc_seg: 88.3281, loss: 0.3272 2023-11-13 21:58:28,186 - mmseg - INFO - Iter [90650/160000] lr: 2.601e-05, eta: 4:43:53, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1904, decode.acc_seg: 92.1410, aux.loss_ce: 0.1154, aux.acc_seg: 88.8261, loss: 0.3058 2023-11-13 21:58:39,886 - mmseg - INFO - Iter [90700/160000] lr: 2.599e-05, eta: 4:43:40, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1900, decode.acc_seg: 92.0044, aux.loss_ce: 0.1137, aux.acc_seg: 88.9374, loss: 0.3037 2023-11-13 21:58:52,385 - mmseg - INFO - Iter [90750/160000] lr: 2.597e-05, eta: 4:43:28, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1934, decode.acc_seg: 91.7716, aux.loss_ce: 0.1136, aux.acc_seg: 88.7652, loss: 0.3070 2023-11-13 21:59:04,105 - mmseg - INFO - Iter [90800/160000] lr: 2.595e-05, eta: 4:43:15, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1956, decode.acc_seg: 91.8328, aux.loss_ce: 0.1159, aux.acc_seg: 88.7390, loss: 0.3115 2023-11-13 21:59:15,737 - mmseg - INFO - Iter [90850/160000] lr: 2.593e-05, eta: 4:43:02, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1984, decode.acc_seg: 91.7600, aux.loss_ce: 0.1159, aux.acc_seg: 88.6221, loss: 0.3143 2023-11-13 21:59:27,817 - mmseg - INFO - Iter [90900/160000] lr: 2.591e-05, eta: 4:42:50, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2004, decode.acc_seg: 91.6787, aux.loss_ce: 0.1168, aux.acc_seg: 88.4497, loss: 0.3172 2023-11-13 21:59:41,857 - mmseg - INFO - Iter [90950/160000] lr: 2.589e-05, eta: 4:42:39, time: 0.281, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1906, decode.acc_seg: 92.1720, aux.loss_ce: 0.1105, aux.acc_seg: 89.3607, loss: 0.3011 2023-11-13 21:59:54,669 - mmseg - INFO - Saving checkpoint at 91000 iterations 2023-11-13 21:59:57,420 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 21:59:57,420 - mmseg - INFO - Iter [91000/160000] lr: 2.588e-05, eta: 4:42:29, time: 0.311, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1859, decode.acc_seg: 92.1673, aux.loss_ce: 0.1120, aux.acc_seg: 89.1119, loss: 0.2980 2023-11-13 22:00:09,391 - mmseg - INFO - Iter [91050/160000] lr: 2.586e-05, eta: 4:42:17, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2028, decode.acc_seg: 91.5540, aux.loss_ce: 0.1162, aux.acc_seg: 88.7312, loss: 0.3190 2023-11-13 22:00:21,713 - mmseg - INFO - Iter [91100/160000] lr: 2.584e-05, eta: 4:42:04, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1895, decode.acc_seg: 92.0578, aux.loss_ce: 0.1123, aux.acc_seg: 88.9522, loss: 0.3018 2023-11-13 22:00:33,354 - mmseg - INFO - Iter [91150/160000] lr: 2.582e-05, eta: 4:41:52, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1872, decode.acc_seg: 92.1010, aux.loss_ce: 0.1110, aux.acc_seg: 88.8008, loss: 0.2982 2023-11-13 22:00:45,079 - mmseg - INFO - Iter [91200/160000] lr: 2.580e-05, eta: 4:41:39, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1939, decode.acc_seg: 91.8681, aux.loss_ce: 0.1146, aux.acc_seg: 88.7955, loss: 0.3085 2023-11-13 22:00:57,025 - mmseg - INFO - Iter [91250/160000] lr: 2.578e-05, eta: 4:41:26, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1894, decode.acc_seg: 92.0190, aux.loss_ce: 0.1112, aux.acc_seg: 88.8786, loss: 0.3006 2023-11-13 22:01:09,334 - mmseg - INFO - Iter [91300/160000] lr: 2.576e-05, eta: 4:41:14, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1935, decode.acc_seg: 91.7750, aux.loss_ce: 0.1155, aux.acc_seg: 88.7790, loss: 0.3090 2023-11-13 22:01:21,039 - mmseg - INFO - Iter [91350/160000] lr: 2.574e-05, eta: 4:41:01, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1920, decode.acc_seg: 91.9771, aux.loss_ce: 0.1127, aux.acc_seg: 89.0555, loss: 0.3047 2023-11-13 22:01:34,418 - mmseg - INFO - Iter [91400/160000] lr: 2.573e-05, eta: 4:40:50, time: 0.268, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1833, decode.acc_seg: 92.5577, aux.loss_ce: 0.1082, aux.acc_seg: 89.5232, loss: 0.2915 2023-11-13 22:01:46,077 - mmseg - INFO - Iter [91450/160000] lr: 2.571e-05, eta: 4:40:37, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1938, decode.acc_seg: 91.8523, aux.loss_ce: 0.1157, aux.acc_seg: 88.6399, loss: 0.3095 2023-11-13 22:01:57,806 - mmseg - INFO - Iter [91500/160000] lr: 2.569e-05, eta: 4:40:24, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2071, decode.acc_seg: 91.5007, aux.loss_ce: 0.1235, aux.acc_seg: 88.0818, loss: 0.3306 2023-11-13 22:02:10,171 - mmseg - INFO - Iter [91550/160000] lr: 2.567e-05, eta: 4:40:12, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1994, decode.acc_seg: 91.4816, aux.loss_ce: 0.1156, aux.acc_seg: 88.6068, loss: 0.3150 2023-11-13 22:02:21,847 - mmseg - INFO - Iter [91600/160000] lr: 2.565e-05, eta: 4:40:00, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1950, decode.acc_seg: 91.6474, aux.loss_ce: 0.1127, aux.acc_seg: 88.7247, loss: 0.3077 2023-11-13 22:02:33,437 - mmseg - INFO - Iter [91650/160000] lr: 2.563e-05, eta: 4:39:47, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1879, decode.acc_seg: 92.2854, aux.loss_ce: 0.1145, aux.acc_seg: 89.1389, loss: 0.3024 2023-11-13 22:02:45,084 - mmseg - INFO - Iter [91700/160000] lr: 2.561e-05, eta: 4:39:34, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1961, decode.acc_seg: 91.8428, aux.loss_ce: 0.1155, aux.acc_seg: 88.8168, loss: 0.3116 2023-11-13 22:02:57,334 - mmseg - INFO - Iter [91750/160000] lr: 2.559e-05, eta: 4:39:22, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1903, decode.acc_seg: 91.9175, aux.loss_ce: 0.1147, aux.acc_seg: 88.5795, loss: 0.3050 2023-11-13 22:03:09,330 - mmseg - INFO - Iter [91800/160000] lr: 2.558e-05, eta: 4:39:09, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2052, decode.acc_seg: 91.4080, aux.loss_ce: 0.1186, aux.acc_seg: 88.3855, loss: 0.3238 2023-11-13 22:03:20,883 - mmseg - INFO - Iter [91850/160000] lr: 2.556e-05, eta: 4:38:56, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1896, decode.acc_seg: 92.0346, aux.loss_ce: 0.1101, aux.acc_seg: 89.0024, loss: 0.2998 2023-11-13 22:03:32,496 - mmseg - INFO - Iter [91900/160000] lr: 2.554e-05, eta: 4:38:44, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1913, decode.acc_seg: 91.9915, aux.loss_ce: 0.1116, aux.acc_seg: 89.1602, loss: 0.3029 2023-11-13 22:03:44,108 - mmseg - INFO - Iter [91950/160000] lr: 2.552e-05, eta: 4:38:31, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2015, decode.acc_seg: 91.4641, aux.loss_ce: 0.1194, aux.acc_seg: 88.1115, loss: 0.3209 2023-11-13 22:03:55,723 - mmseg - INFO - Saving checkpoint at 92000 iterations 2023-11-13 22:03:58,482 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:03:58,482 - mmseg - INFO - Iter [92000/160000] lr: 2.550e-05, eta: 4:38:20, time: 0.288, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2019, decode.acc_seg: 91.5739, aux.loss_ce: 0.1177, aux.acc_seg: 88.6634, loss: 0.3197 2023-11-13 22:04:11,505 - mmseg - INFO - Iter [92050/160000] lr: 2.548e-05, eta: 4:38:08, time: 0.260, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1951, decode.acc_seg: 91.7793, aux.loss_ce: 0.1133, aux.acc_seg: 89.0129, loss: 0.3084 2023-11-13 22:04:24,068 - mmseg - INFO - Iter [92100/160000] lr: 2.546e-05, eta: 4:37:56, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1955, decode.acc_seg: 91.8263, aux.loss_ce: 0.1184, aux.acc_seg: 88.4644, loss: 0.3139 2023-11-13 22:04:35,871 - mmseg - INFO - Iter [92150/160000] lr: 2.544e-05, eta: 4:37:44, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1930, decode.acc_seg: 91.6823, aux.loss_ce: 0.1155, aux.acc_seg: 88.5219, loss: 0.3086 2023-11-13 22:04:50,222 - mmseg - INFO - Iter [92200/160000] lr: 2.543e-05, eta: 4:37:33, time: 0.287, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1873, decode.acc_seg: 92.0691, aux.loss_ce: 0.1128, aux.acc_seg: 88.7274, loss: 0.3001 2023-11-13 22:05:01,910 - mmseg - INFO - Iter [92250/160000] lr: 2.541e-05, eta: 4:37:20, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1934, decode.acc_seg: 91.8958, aux.loss_ce: 0.1158, aux.acc_seg: 88.7979, loss: 0.3092 2023-11-13 22:05:13,667 - mmseg - INFO - Iter [92300/160000] lr: 2.539e-05, eta: 4:37:07, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1844, decode.acc_seg: 92.3049, aux.loss_ce: 0.1101, aux.acc_seg: 89.4181, loss: 0.2945 2023-11-13 22:05:25,582 - mmseg - INFO - Iter [92350/160000] lr: 2.537e-05, eta: 4:36:55, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1953, decode.acc_seg: 91.9883, aux.loss_ce: 0.1107, aux.acc_seg: 89.5183, loss: 0.3060 2023-11-13 22:05:37,190 - mmseg - INFO - Iter [92400/160000] lr: 2.535e-05, eta: 4:36:42, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1918, decode.acc_seg: 92.0260, aux.loss_ce: 0.1166, aux.acc_seg: 88.5418, loss: 0.3084 2023-11-13 22:05:48,924 - mmseg - INFO - Iter [92450/160000] lr: 2.533e-05, eta: 4:36:30, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1973, decode.acc_seg: 91.7959, aux.loss_ce: 0.1139, aux.acc_seg: 89.0907, loss: 0.3112 2023-11-13 22:06:00,749 - mmseg - INFO - Iter [92500/160000] lr: 2.531e-05, eta: 4:36:17, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1936, decode.acc_seg: 91.8931, aux.loss_ce: 0.1137, aux.acc_seg: 88.7990, loss: 0.3073 2023-11-13 22:06:12,413 - mmseg - INFO - Iter [92550/160000] lr: 2.529e-05, eta: 4:36:04, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1901, decode.acc_seg: 92.1030, aux.loss_ce: 0.1090, aux.acc_seg: 89.2965, loss: 0.2991 2023-11-13 22:06:24,290 - mmseg - INFO - Iter [92600/160000] lr: 2.528e-05, eta: 4:35:52, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1997, decode.acc_seg: 91.4778, aux.loss_ce: 0.1173, aux.acc_seg: 88.4603, loss: 0.3170 2023-11-13 22:06:35,975 - mmseg - INFO - Iter [92650/160000] lr: 2.526e-05, eta: 4:35:39, time: 0.234, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1851, decode.acc_seg: 92.0487, aux.loss_ce: 0.1085, aux.acc_seg: 89.0656, loss: 0.2936 2023-11-13 22:06:47,973 - mmseg - INFO - Iter [92700/160000] lr: 2.524e-05, eta: 4:35:26, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1907, decode.acc_seg: 91.7565, aux.loss_ce: 0.1132, aux.acc_seg: 88.5761, loss: 0.3039 2023-11-13 22:06:59,636 - mmseg - INFO - Iter [92750/160000] lr: 2.522e-05, eta: 4:35:14, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1916, decode.acc_seg: 91.6461, aux.loss_ce: 0.1112, aux.acc_seg: 88.6633, loss: 0.3028 2023-11-13 22:07:11,649 - mmseg - INFO - Iter [92800/160000] lr: 2.520e-05, eta: 4:35:01, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1824, decode.acc_seg: 92.2635, aux.loss_ce: 0.1107, aux.acc_seg: 89.1017, loss: 0.2931 2023-11-13 22:07:24,053 - mmseg - INFO - Iter [92850/160000] lr: 2.518e-05, eta: 4:34:49, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2101, decode.acc_seg: 91.4539, aux.loss_ce: 0.1219, aux.acc_seg: 88.4877, loss: 0.3320 2023-11-13 22:07:35,664 - mmseg - INFO - Iter [92900/160000] lr: 2.516e-05, eta: 4:34:36, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1991, decode.acc_seg: 91.5701, aux.loss_ce: 0.1160, aux.acc_seg: 88.5726, loss: 0.3151 2023-11-13 22:07:47,285 - mmseg - INFO - Iter [92950/160000] lr: 2.514e-05, eta: 4:34:24, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1885, decode.acc_seg: 92.2077, aux.loss_ce: 0.1094, aux.acc_seg: 89.2294, loss: 0.2979 2023-11-13 22:07:59,111 - mmseg - INFO - Saving checkpoint at 93000 iterations 2023-11-13 22:08:02,005 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:08:02,005 - mmseg - INFO - Iter [93000/160000] lr: 2.513e-05, eta: 4:34:13, time: 0.294, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1845, decode.acc_seg: 92.1049, aux.loss_ce: 0.1072, aux.acc_seg: 89.1311, loss: 0.2917 2023-11-13 22:08:14,076 - mmseg - INFO - Iter [93050/160000] lr: 2.511e-05, eta: 4:34:01, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1972, decode.acc_seg: 91.7564, aux.loss_ce: 0.1155, aux.acc_seg: 88.7666, loss: 0.3128 2023-11-13 22:08:25,906 - mmseg - INFO - Iter [93100/160000] lr: 2.509e-05, eta: 4:33:48, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1949, decode.acc_seg: 91.6494, aux.loss_ce: 0.1162, aux.acc_seg: 88.3530, loss: 0.3110 2023-11-13 22:08:37,843 - mmseg - INFO - Iter [93150/160000] lr: 2.507e-05, eta: 4:33:35, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1998, decode.acc_seg: 91.4864, aux.loss_ce: 0.1184, aux.acc_seg: 88.0639, loss: 0.3182 2023-11-13 22:08:49,493 - mmseg - INFO - Iter [93200/160000] lr: 2.505e-05, eta: 4:33:23, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2040, decode.acc_seg: 91.4732, aux.loss_ce: 0.1143, aux.acc_seg: 88.8272, loss: 0.3183 2023-11-13 22:09:01,312 - mmseg - INFO - Iter [93250/160000] lr: 2.503e-05, eta: 4:33:10, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1933, decode.acc_seg: 91.9708, aux.loss_ce: 0.1142, aux.acc_seg: 88.9737, loss: 0.3075 2023-11-13 22:09:13,954 - mmseg - INFO - Iter [93300/160000] lr: 2.501e-05, eta: 4:32:58, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2003, decode.acc_seg: 91.5667, aux.loss_ce: 0.1171, aux.acc_seg: 88.3608, loss: 0.3174 2023-11-13 22:09:25,653 - mmseg - INFO - Iter [93350/160000] lr: 2.499e-05, eta: 4:32:45, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1854, decode.acc_seg: 92.0985, aux.loss_ce: 0.1075, aux.acc_seg: 89.3303, loss: 0.2929 2023-11-13 22:09:37,858 - mmseg - INFO - Iter [93400/160000] lr: 2.498e-05, eta: 4:32:33, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1946, decode.acc_seg: 91.8062, aux.loss_ce: 0.1105, aux.acc_seg: 89.3984, loss: 0.3051 2023-11-13 22:09:49,746 - mmseg - INFO - Iter [93450/160000] lr: 2.496e-05, eta: 4:32:20, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2034, decode.acc_seg: 91.5390, aux.loss_ce: 0.1203, aux.acc_seg: 88.4263, loss: 0.3237 2023-11-13 22:10:03,852 - mmseg - INFO - Iter [93500/160000] lr: 2.494e-05, eta: 4:32:10, time: 0.283, data_time: 0.051, memory: 5958, decode.loss_ce: 0.1983, decode.acc_seg: 91.6972, aux.loss_ce: 0.1127, aux.acc_seg: 89.0923, loss: 0.3109 2023-11-13 22:10:16,005 - mmseg - INFO - Iter [93550/160000] lr: 2.492e-05, eta: 4:31:57, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1997, decode.acc_seg: 91.6368, aux.loss_ce: 0.1172, aux.acc_seg: 88.7289, loss: 0.3168 2023-11-13 22:10:27,591 - mmseg - INFO - Iter [93600/160000] lr: 2.490e-05, eta: 4:31:44, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1940, decode.acc_seg: 91.9297, aux.loss_ce: 0.1145, aux.acc_seg: 88.7030, loss: 0.3085 2023-11-13 22:10:40,109 - mmseg - INFO - Iter [93650/160000] lr: 2.488e-05, eta: 4:31:32, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1904, decode.acc_seg: 92.1585, aux.loss_ce: 0.1099, aux.acc_seg: 89.3643, loss: 0.3002 2023-11-13 22:10:51,872 - mmseg - INFO - Iter [93700/160000] lr: 2.486e-05, eta: 4:31:20, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1919, decode.acc_seg: 91.9735, aux.loss_ce: 0.1123, aux.acc_seg: 89.1838, loss: 0.3042 2023-11-13 22:11:03,742 - mmseg - INFO - Iter [93750/160000] lr: 2.484e-05, eta: 4:31:07, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1897, decode.acc_seg: 92.0603, aux.loss_ce: 0.1113, aux.acc_seg: 89.1641, loss: 0.3010 2023-11-13 22:11:15,518 - mmseg - INFO - Iter [93800/160000] lr: 2.483e-05, eta: 4:30:54, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1914, decode.acc_seg: 91.9979, aux.loss_ce: 0.1133, aux.acc_seg: 88.9189, loss: 0.3047 2023-11-13 22:11:27,953 - mmseg - INFO - Iter [93850/160000] lr: 2.481e-05, eta: 4:30:42, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1841, decode.acc_seg: 92.1978, aux.loss_ce: 0.1110, aux.acc_seg: 89.0332, loss: 0.2951 2023-11-13 22:11:39,800 - mmseg - INFO - Iter [93900/160000] lr: 2.479e-05, eta: 4:30:30, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1857, decode.acc_seg: 92.2809, aux.loss_ce: 0.1107, aux.acc_seg: 89.2214, loss: 0.2963 2023-11-13 22:11:52,382 - mmseg - INFO - Iter [93950/160000] lr: 2.477e-05, eta: 4:30:18, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1859, decode.acc_seg: 92.1543, aux.loss_ce: 0.1095, aux.acc_seg: 89.1274, loss: 0.2954 2023-11-13 22:12:04,119 - mmseg - INFO - Saving checkpoint at 94000 iterations 2023-11-13 22:12:06,890 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:12:06,891 - mmseg - INFO - Iter [94000/160000] lr: 2.475e-05, eta: 4:30:07, time: 0.290, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2006, decode.acc_seg: 91.5412, aux.loss_ce: 0.1167, aux.acc_seg: 88.4805, loss: 0.3173 2023-11-13 22:12:18,861 - mmseg - INFO - Iter [94050/160000] lr: 2.473e-05, eta: 4:29:54, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1831, decode.acc_seg: 92.1983, aux.loss_ce: 0.1060, aux.acc_seg: 89.4915, loss: 0.2891 2023-11-13 22:12:30,697 - mmseg - INFO - Iter [94100/160000] lr: 2.471e-05, eta: 4:29:42, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1903, decode.acc_seg: 91.9962, aux.loss_ce: 0.1123, aux.acc_seg: 89.0914, loss: 0.3026 2023-11-13 22:12:43,370 - mmseg - INFO - Iter [94150/160000] lr: 2.469e-05, eta: 4:29:30, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2013, decode.acc_seg: 91.5067, aux.loss_ce: 0.1150, aux.acc_seg: 88.6977, loss: 0.3162 2023-11-13 22:12:55,478 - mmseg - INFO - Iter [94200/160000] lr: 2.468e-05, eta: 4:29:17, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1996, decode.acc_seg: 91.3114, aux.loss_ce: 0.1163, aux.acc_seg: 88.2635, loss: 0.3159 2023-11-13 22:13:07,075 - mmseg - INFO - Iter [94250/160000] lr: 2.466e-05, eta: 4:29:05, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1949, decode.acc_seg: 91.7959, aux.loss_ce: 0.1137, aux.acc_seg: 88.8504, loss: 0.3086 2023-11-13 22:13:18,660 - mmseg - INFO - Iter [94300/160000] lr: 2.464e-05, eta: 4:28:52, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1946, decode.acc_seg: 91.5925, aux.loss_ce: 0.1099, aux.acc_seg: 88.8900, loss: 0.3045 2023-11-13 22:13:30,707 - mmseg - INFO - Iter [94350/160000] lr: 2.462e-05, eta: 4:28:39, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1930, decode.acc_seg: 91.8719, aux.loss_ce: 0.1106, aux.acc_seg: 88.9208, loss: 0.3036 2023-11-13 22:13:43,116 - mmseg - INFO - Iter [94400/160000] lr: 2.460e-05, eta: 4:28:27, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1960, decode.acc_seg: 91.7023, aux.loss_ce: 0.1107, aux.acc_seg: 88.9837, loss: 0.3067 2023-11-13 22:13:54,688 - mmseg - INFO - Iter [94450/160000] lr: 2.458e-05, eta: 4:28:15, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1969, decode.acc_seg: 91.9553, aux.loss_ce: 0.1160, aux.acc_seg: 89.0333, loss: 0.3129 2023-11-13 22:14:06,326 - mmseg - INFO - Iter [94500/160000] lr: 2.456e-05, eta: 4:28:02, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1882, decode.acc_seg: 91.9435, aux.loss_ce: 0.1126, aux.acc_seg: 88.7778, loss: 0.3007 2023-11-13 22:14:18,837 - mmseg - INFO - Iter [94550/160000] lr: 2.454e-05, eta: 4:27:50, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1845, decode.acc_seg: 92.1273, aux.loss_ce: 0.1120, aux.acc_seg: 88.7369, loss: 0.2964 2023-11-13 22:14:31,815 - mmseg - INFO - Iter [94600/160000] lr: 2.453e-05, eta: 4:27:38, time: 0.260, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1951, decode.acc_seg: 91.7459, aux.loss_ce: 0.1129, aux.acc_seg: 88.6872, loss: 0.3080 2023-11-13 22:14:43,404 - mmseg - INFO - Iter [94650/160000] lr: 2.451e-05, eta: 4:27:25, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1910, decode.acc_seg: 91.9898, aux.loss_ce: 0.1112, aux.acc_seg: 88.9926, loss: 0.3022 2023-11-13 22:14:55,144 - mmseg - INFO - Iter [94700/160000] lr: 2.449e-05, eta: 4:27:13, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1731, decode.acc_seg: 92.5230, aux.loss_ce: 0.1018, aux.acc_seg: 89.7239, loss: 0.2749 2023-11-13 22:15:09,047 - mmseg - INFO - Iter [94750/160000] lr: 2.447e-05, eta: 4:27:01, time: 0.278, data_time: 0.050, memory: 5958, decode.loss_ce: 0.1977, decode.acc_seg: 91.7539, aux.loss_ce: 0.1148, aux.acc_seg: 88.7625, loss: 0.3125 2023-11-13 22:15:20,966 - mmseg - INFO - Iter [94800/160000] lr: 2.445e-05, eta: 4:26:49, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1924, decode.acc_seg: 92.0830, aux.loss_ce: 0.1144, aux.acc_seg: 88.8450, loss: 0.3068 2023-11-13 22:15:32,907 - mmseg - INFO - Iter [94850/160000] lr: 2.443e-05, eta: 4:26:36, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1874, decode.acc_seg: 91.9917, aux.loss_ce: 0.1106, aux.acc_seg: 88.8646, loss: 0.2980 2023-11-13 22:15:45,775 - mmseg - INFO - Iter [94900/160000] lr: 2.441e-05, eta: 4:26:24, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1816, decode.acc_seg: 92.2763, aux.loss_ce: 0.1077, aux.acc_seg: 89.3689, loss: 0.2893 2023-11-13 22:15:57,420 - mmseg - INFO - Iter [94950/160000] lr: 2.439e-05, eta: 4:26:12, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1864, decode.acc_seg: 92.1478, aux.loss_ce: 0.1094, aux.acc_seg: 89.3081, loss: 0.2958 2023-11-13 22:16:09,033 - mmseg - INFO - Saving checkpoint at 95000 iterations 2023-11-13 22:16:11,674 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:16:11,674 - mmseg - INFO - Iter [95000/160000] lr: 2.438e-05, eta: 4:26:01, time: 0.285, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1925, decode.acc_seg: 91.9576, aux.loss_ce: 0.1139, aux.acc_seg: 88.8499, loss: 0.3064 2023-11-13 22:16:23,374 - mmseg - INFO - Iter [95050/160000] lr: 2.436e-05, eta: 4:25:48, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1849, decode.acc_seg: 92.2347, aux.loss_ce: 0.1079, aux.acc_seg: 89.2611, loss: 0.2929 2023-11-13 22:16:35,097 - mmseg - INFO - Iter [95100/160000] lr: 2.434e-05, eta: 4:25:35, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1874, decode.acc_seg: 92.0535, aux.loss_ce: 0.1107, aux.acc_seg: 88.9930, loss: 0.2981 2023-11-13 22:16:46,925 - mmseg - INFO - Iter [95150/160000] lr: 2.432e-05, eta: 4:25:23, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1955, decode.acc_seg: 91.9964, aux.loss_ce: 0.1153, aux.acc_seg: 89.0134, loss: 0.3108 2023-11-13 22:17:00,775 - mmseg - INFO - Iter [95200/160000] lr: 2.430e-05, eta: 4:25:12, time: 0.277, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1923, decode.acc_seg: 91.9584, aux.loss_ce: 0.1129, aux.acc_seg: 88.8844, loss: 0.3053 2023-11-13 22:17:12,592 - mmseg - INFO - Iter [95250/160000] lr: 2.428e-05, eta: 4:24:59, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1825, decode.acc_seg: 92.3566, aux.loss_ce: 0.1090, aux.acc_seg: 89.5093, loss: 0.2915 2023-11-13 22:17:24,633 - mmseg - INFO - Iter [95300/160000] lr: 2.426e-05, eta: 4:24:47, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1918, decode.acc_seg: 91.9162, aux.loss_ce: 0.1107, aux.acc_seg: 89.1370, loss: 0.3025 2023-11-13 22:17:36,343 - mmseg - INFO - Iter [95350/160000] lr: 2.424e-05, eta: 4:24:34, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1788, decode.acc_seg: 92.4651, aux.loss_ce: 0.1070, aux.acc_seg: 89.3774, loss: 0.2859 2023-11-13 22:17:47,956 - mmseg - INFO - Iter [95400/160000] lr: 2.423e-05, eta: 4:24:21, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1940, decode.acc_seg: 91.9962, aux.loss_ce: 0.1134, aux.acc_seg: 88.9823, loss: 0.3073 2023-11-13 22:18:00,027 - mmseg - INFO - Iter [95450/160000] lr: 2.421e-05, eta: 4:24:09, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1799, decode.acc_seg: 92.2919, aux.loss_ce: 0.1099, aux.acc_seg: 89.1835, loss: 0.2897 2023-11-13 22:18:11,652 - mmseg - INFO - Iter [95500/160000] lr: 2.419e-05, eta: 4:23:56, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1963, decode.acc_seg: 91.7098, aux.loss_ce: 0.1155, aux.acc_seg: 88.6467, loss: 0.3118 2023-11-13 22:18:23,512 - mmseg - INFO - Iter [95550/160000] lr: 2.417e-05, eta: 4:23:44, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1976, decode.acc_seg: 91.4954, aux.loss_ce: 0.1147, aux.acc_seg: 88.7669, loss: 0.3123 2023-11-13 22:18:35,291 - mmseg - INFO - Iter [95600/160000] lr: 2.415e-05, eta: 4:23:31, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1963, decode.acc_seg: 91.7258, aux.loss_ce: 0.1135, aux.acc_seg: 88.7423, loss: 0.3097 2023-11-13 22:18:47,019 - mmseg - INFO - Iter [95650/160000] lr: 2.413e-05, eta: 4:23:18, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1875, decode.acc_seg: 92.3429, aux.loss_ce: 0.1085, aux.acc_seg: 89.5969, loss: 0.2961 2023-11-13 22:18:59,347 - mmseg - INFO - Iter [95700/160000] lr: 2.411e-05, eta: 4:23:06, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1899, decode.acc_seg: 91.7806, aux.loss_ce: 0.1128, aux.acc_seg: 88.7441, loss: 0.3028 2023-11-13 22:19:10,997 - mmseg - INFO - Iter [95750/160000] lr: 2.409e-05, eta: 4:22:53, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2008, decode.acc_seg: 91.8414, aux.loss_ce: 0.1199, aux.acc_seg: 88.4940, loss: 0.3207 2023-11-13 22:19:23,051 - mmseg - INFO - Iter [95800/160000] lr: 2.408e-05, eta: 4:22:41, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1936, decode.acc_seg: 91.8874, aux.loss_ce: 0.1153, aux.acc_seg: 88.7073, loss: 0.3088 2023-11-13 22:19:34,690 - mmseg - INFO - Iter [95850/160000] lr: 2.406e-05, eta: 4:22:28, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1905, decode.acc_seg: 91.8819, aux.loss_ce: 0.1092, aux.acc_seg: 89.2384, loss: 0.2998 2023-11-13 22:19:46,550 - mmseg - INFO - Iter [95900/160000] lr: 2.404e-05, eta: 4:22:16, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1909, decode.acc_seg: 91.9387, aux.loss_ce: 0.1133, aux.acc_seg: 88.8681, loss: 0.3042 2023-11-13 22:19:59,186 - mmseg - INFO - Iter [95950/160000] lr: 2.402e-05, eta: 4:22:04, time: 0.252, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1949, decode.acc_seg: 91.9044, aux.loss_ce: 0.1145, aux.acc_seg: 88.9540, loss: 0.3093 2023-11-13 22:20:13,502 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-11-13 22:20:16,155 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:20:16,155 - mmseg - INFO - Iter [96000/160000] lr: 2.400e-05, eta: 4:21:55, time: 0.340, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1852, decode.acc_seg: 92.0612, aux.loss_ce: 0.1103, aux.acc_seg: 89.0965, loss: 0.2954 2023-11-13 22:20:30,259 - mmseg - INFO - per class results: 2023-11-13 22:20:30,264 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.62 | 87.52 | | building | 82.52 | 90.84 | | sky | 94.56 | 97.62 | | floor | 81.51 | 91.0 | | tree | 73.7 | 85.98 | | ceiling | 84.62 | 93.1 | | road | 84.33 | 90.17 | | bed | 90.36 | 96.46 | | windowpane | 62.97 | 82.27 | | grass | 65.14 | 78.0 | | cabinet | 61.78 | 76.31 | | sidewalk | 67.5 | 85.08 | | person | 81.76 | 92.87 | | earth | 36.5 | 48.92 | | door | 54.79 | 70.8 | | table | 58.51 | 74.95 | | mountain | 61.7 | 76.67 | | plant | 52.29 | 68.64 | | curtain | 73.74 | 85.49 | | chair | 59.43 | 72.29 | | car | 85.51 | 93.11 | | water | 53.61 | 68.24 | | painting | 70.37 | 86.99 | | sofa | 67.25 | 83.09 | | shelf | 40.32 | 54.79 | | house | 44.86 | 77.93 | | sea | 56.52 | 75.59 | | mirror | 71.37 | 78.6 | | rug | 60.97 | 72.09 | | field | 26.16 | 43.19 | | armchair | 45.45 | 67.68 | | seat | 62.81 | 81.04 | | fence | 46.88 | 62.79 | | desk | 49.66 | 66.69 | | rock | 47.08 | 71.8 | | wardrobe | 54.01 | 70.34 | | lamp | 65.32 | 79.41 | | bathtub | 77.13 | 83.0 | | railing | 39.33 | 53.07 | | cushion | 61.22 | 71.41 | | base | 24.89 | 37.06 | | box | 26.4 | 35.25 | | column | 51.64 | 63.72 | | signboard | 37.85 | 54.83 | | chest of drawers | 42.89 | 63.91 | | counter | 37.03 | 47.21 | | sand | 45.63 | 71.98 | | sink | 73.37 | 79.63 | | skyscraper | 35.75 | 44.69 | | fireplace | 77.73 | 90.71 | | refrigerator | 78.74 | 87.29 | | grandstand | 52.36 | 77.2 | | path | 23.95 | 34.91 | | stairs | 33.54 | 40.46 | | runway | 62.55 | 83.67 | | case | 38.93 | 53.61 | | pool table | 91.88 | 97.9 | | pillow | 62.35 | 74.3 | | screen door | 73.82 | 76.78 | | stairway | 29.09 | 35.7 | | river | 7.96 | 18.23 | | bridge | 75.32 | 84.35 | | bookcase | 36.54 | 56.6 | | blind | 40.78 | 47.07 | | coffee table | 50.03 | 82.88 | | toilet | 85.64 | 92.29 | | flower | 45.09 | 58.75 | | book | 47.89 | 76.18 | | hill | 9.04 | 17.03 | | bench | 47.3 | 55.08 | | countertop | 50.89 | 64.34 | | stove | 79.1 | 86.55 | | palm | 52.6 | 75.79 | | kitchen island | 33.92 | 61.29 | | computer | 71.07 | 80.42 | | swivel chair | 44.61 | 58.8 | | boat | 52.74 | 66.58 | | bar | 45.31 | 61.28 | | arcade machine | 76.69 | 82.76 | | hovel | 17.26 | 18.75 | | bus | 90.3 | 97.21 | | towel | 65.8 | 78.56 | | light | 51.41 | 56.46 | | truck | 40.18 | 52.59 | | tower | 26.52 | 48.05 | | chandelier | 71.1 | 86.91 | | awning | 35.81 | 45.97 | | streetlight | 29.23 | 40.03 | | booth | 49.09 | 52.9 | | television receiver | 72.55 | 81.62 | | airplane | 60.82 | 66.71 | | dirt track | 7.61 | 13.26 | | apparel | 41.05 | 55.2 | | pole | 23.98 | 35.58 | | land | 8.13 | 11.94 | | bannister | 16.58 | 20.61 | | escalator | 24.24 | 29.58 | | ottoman | 51.74 | 69.93 | | bottle | 38.01 | 65.77 | | buffet | 40.89 | 52.86 | | poster | 31.76 | 41.65 | | stage | 22.76 | 29.34 | | van | 43.72 | 57.8 | | ship | 6.24 | 8.04 | | fountain | 19.57 | 20.86 | | conveyer belt | 61.39 | 91.94 | | canopy | 22.32 | 34.35 | | washer | 73.38 | 76.92 | | plaything | 24.07 | 33.9 | | swimming pool | 58.78 | 83.14 | | stool | 42.95 | 60.51 | | barrel | 51.58 | 67.8 | | basket | 33.13 | 42.2 | | waterfall | 47.43 | 59.82 | | tent | 94.77 | 98.28 | | bag | 15.46 | 18.41 | | minibike | 68.08 | 83.48 | | cradle | 82.22 | 93.48 | | oven | 48.36 | 65.94 | | ball | 50.57 | 62.3 | | food | 56.49 | 66.85 | | step | 17.66 | 22.83 | | tank | 60.8 | 65.0 | | trade name | 26.92 | 30.97 | | microwave | 80.1 | 90.71 | | pot | 46.58 | 55.23 | | animal | 65.61 | 69.69 | | bicycle | 52.47 | 67.73 | | lake | 56.69 | 63.68 | | dishwasher | 77.8 | 82.28 | | screen | 52.81 | 62.3 | | blanket | 16.9 | 18.97 | | sculpture | 66.6 | 85.43 | | hood | 58.37 | 68.36 | | sconce | 49.34 | 60.36 | | vase | 41.14 | 62.61 | | traffic light | 34.85 | 59.85 | | tray | 8.29 | 19.75 | | ashcan | 43.76 | 58.33 | | fan | 60.14 | 68.25 | | pier | 29.46 | 44.5 | | crt screen | 6.41 | 23.76 | | plate | 55.5 | 73.26 | | monitor | 9.12 | 11.48 | | bulletin board | 46.4 | 67.72 | | shower | 1.2 | 2.36 | | radiator | 55.48 | 64.36 | | glass | 16.27 | 18.18 | | clock | 39.94 | 49.78 | | flag | 45.12 | 49.06 | +---------------------+-------+-------+ 2023-11-13 22:20:30,264 - mmseg - INFO - Summary: 2023-11-13 22:20:30,264 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.33 | 50.16 | 62.38 | +-------+-------+-------+ 2023-11-13 22:20:30,274 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/upernet_flash_internimage_s_512_160k_ade20k/best_mIoU_iter_64000.pth was removed 2023-11-13 22:20:32,836 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_96000.pth. 2023-11-13 22:20:32,836 - mmseg - INFO - Best mIoU is 0.5016 at 96000 iter. 2023-11-13 22:20:32,836 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:20:32,836 - mmseg - INFO - Iter(val) [250] aAcc: 0.8333, mIoU: 0.5016, mAcc: 0.6238, IoU.wall: 0.7862, IoU.building: 0.8252, IoU.sky: 0.9456, IoU.floor: 0.8151, IoU.tree: 0.7370, IoU.ceiling: 0.8462, IoU.road: 0.8433, IoU.bed : 0.9036, IoU.windowpane: 0.6297, IoU.grass: 0.6514, IoU.cabinet: 0.6178, IoU.sidewalk: 0.6750, IoU.person: 0.8176, IoU.earth: 0.3650, IoU.door: 0.5479, IoU.table: 0.5851, IoU.mountain: 0.6170, IoU.plant: 0.5229, IoU.curtain: 0.7374, IoU.chair: 0.5943, IoU.car: 0.8551, IoU.water: 0.5361, IoU.painting: 0.7037, IoU.sofa: 0.6725, IoU.shelf: 0.4032, IoU.house: 0.4486, IoU.sea: 0.5652, IoU.mirror: 0.7137, IoU.rug: 0.6097, IoU.field: 0.2616, IoU.armchair: 0.4545, IoU.seat: 0.6281, IoU.fence: 0.4688, IoU.desk: 0.4966, IoU.rock: 0.4708, IoU.wardrobe: 0.5401, IoU.lamp: 0.6532, IoU.bathtub: 0.7713, IoU.railing: 0.3933, IoU.cushion: 0.6122, IoU.base: 0.2489, IoU.box: 0.2640, IoU.column: 0.5164, IoU.signboard: 0.3785, IoU.chest of drawers: 0.4289, IoU.counter: 0.3703, IoU.sand: 0.4563, IoU.sink: 0.7337, IoU.skyscraper: 0.3575, IoU.fireplace: 0.7773, IoU.refrigerator: 0.7874, IoU.grandstand: 0.5236, IoU.path: 0.2395, IoU.stairs: 0.3354, IoU.runway: 0.6255, IoU.case: 0.3893, IoU.pool table: 0.9188, IoU.pillow: 0.6235, IoU.screen door: 0.7382, IoU.stairway: 0.2909, IoU.river: 0.0796, IoU.bridge: 0.7532, IoU.bookcase: 0.3654, IoU.blind: 0.4078, IoU.coffee table: 0.5003, IoU.toilet: 0.8564, IoU.flower: 0.4509, IoU.book: 0.4789, IoU.hill: 0.0904, IoU.bench: 0.4730, IoU.countertop: 0.5089, IoU.stove: 0.7910, IoU.palm: 0.5260, IoU.kitchen island: 0.3392, IoU.computer: 0.7107, IoU.swivel chair: 0.4461, IoU.boat: 0.5274, IoU.bar: 0.4531, IoU.arcade machine: 0.7669, IoU.hovel: 0.1726, IoU.bus: 0.9030, IoU.towel: 0.6580, IoU.light: 0.5141, IoU.truck: 0.4018, IoU.tower: 0.2652, IoU.chandelier: 0.7110, IoU.awning: 0.3581, IoU.streetlight: 0.2923, IoU.booth: 0.4909, IoU.television receiver: 0.7255, IoU.airplane: 0.6082, IoU.dirt track: 0.0761, IoU.apparel: 0.4105, IoU.pole: 0.2398, IoU.land: 0.0813, IoU.bannister: 0.1658, IoU.escalator: 0.2424, IoU.ottoman: 0.5174, IoU.bottle: 0.3801, IoU.buffet: 0.4089, IoU.poster: 0.3176, IoU.stage: 0.2276, IoU.van: 0.4372, IoU.ship: 0.0624, IoU.fountain: 0.1957, IoU.conveyer belt: 0.6139, IoU.canopy: 0.2232, IoU.washer: 0.7338, IoU.plaything: 0.2407, IoU.swimming pool: 0.5878, IoU.stool: 0.4295, IoU.barrel: 0.5158, IoU.basket: 0.3313, IoU.waterfall: 0.4743, IoU.tent: 0.9477, IoU.bag: 0.1546, IoU.minibike: 0.6808, IoU.cradle: 0.8222, IoU.oven: 0.4836, IoU.ball: 0.5057, IoU.food: 0.5649, IoU.step: 0.1766, IoU.tank: 0.6080, IoU.trade name: 0.2692, IoU.microwave: 0.8010, IoU.pot: 0.4658, IoU.animal: 0.6561, IoU.bicycle: 0.5247, IoU.lake: 0.5669, IoU.dishwasher: 0.7780, IoU.screen: 0.5281, IoU.blanket: 0.1690, IoU.sculpture: 0.6660, IoU.hood: 0.5837, IoU.sconce: 0.4934, IoU.vase: 0.4114, IoU.traffic light: 0.3485, IoU.tray: 0.0829, IoU.ashcan: 0.4376, IoU.fan: 0.6014, IoU.pier: 0.2946, IoU.crt screen: 0.0641, IoU.plate: 0.5550, IoU.monitor: 0.0912, IoU.bulletin board: 0.4640, IoU.shower: 0.0120, IoU.radiator: 0.5548, IoU.glass: 0.1627, IoU.clock: 0.3994, IoU.flag: 0.4512, Acc.wall: 0.8752, Acc.building: 0.9084, Acc.sky: 0.9762, Acc.floor: 0.9100, Acc.tree: 0.8598, Acc.ceiling: 0.9310, Acc.road: 0.9017, Acc.bed : 0.9646, Acc.windowpane: 0.8227, Acc.grass: 0.7800, Acc.cabinet: 0.7631, Acc.sidewalk: 0.8508, Acc.person: 0.9287, Acc.earth: 0.4892, Acc.door: 0.7080, Acc.table: 0.7495, Acc.mountain: 0.7667, Acc.plant: 0.6864, Acc.curtain: 0.8549, Acc.chair: 0.7229, Acc.car: 0.9311, Acc.water: 0.6824, Acc.painting: 0.8699, Acc.sofa: 0.8309, Acc.shelf: 0.5479, Acc.house: 0.7793, Acc.sea: 0.7559, Acc.mirror: 0.7860, Acc.rug: 0.7209, Acc.field: 0.4319, Acc.armchair: 0.6768, Acc.seat: 0.8104, Acc.fence: 0.6279, Acc.desk: 0.6669, Acc.rock: 0.7180, Acc.wardrobe: 0.7034, Acc.lamp: 0.7941, Acc.bathtub: 0.8300, Acc.railing: 0.5307, Acc.cushion: 0.7141, Acc.base: 0.3706, Acc.box: 0.3525, Acc.column: 0.6372, Acc.signboard: 0.5483, Acc.chest of drawers: 0.6391, Acc.counter: 0.4721, Acc.sand: 0.7198, Acc.sink: 0.7963, Acc.skyscraper: 0.4469, Acc.fireplace: 0.9071, Acc.refrigerator: 0.8729, Acc.grandstand: 0.7720, Acc.path: 0.3491, Acc.stairs: 0.4046, Acc.runway: 0.8367, Acc.case: 0.5361, Acc.pool table: 0.9790, Acc.pillow: 0.7430, Acc.screen door: 0.7678, Acc.stairway: 0.3570, Acc.river: 0.1823, Acc.bridge: 0.8435, Acc.bookcase: 0.5660, Acc.blind: 0.4707, Acc.coffee table: 0.8288, Acc.toilet: 0.9229, Acc.flower: 0.5875, Acc.book: 0.7618, Acc.hill: 0.1703, Acc.bench: 0.5508, Acc.countertop: 0.6434, Acc.stove: 0.8655, Acc.palm: 0.7579, Acc.kitchen island: 0.6129, Acc.computer: 0.8042, Acc.swivel chair: 0.5880, Acc.boat: 0.6658, Acc.bar: 0.6128, Acc.arcade machine: 0.8276, Acc.hovel: 0.1875, Acc.bus: 0.9721, Acc.towel: 0.7856, Acc.light: 0.5646, Acc.truck: 0.5259, Acc.tower: 0.4805, Acc.chandelier: 0.8691, Acc.awning: 0.4597, Acc.streetlight: 0.4003, Acc.booth: 0.5290, Acc.television receiver: 0.8162, Acc.airplane: 0.6671, Acc.dirt track: 0.1326, Acc.apparel: 0.5520, Acc.pole: 0.3558, Acc.land: 0.1194, Acc.bannister: 0.2061, Acc.escalator: 0.2958, Acc.ottoman: 0.6993, Acc.bottle: 0.6577, Acc.buffet: 0.5286, Acc.poster: 0.4165, Acc.stage: 0.2934, Acc.van: 0.5780, Acc.ship: 0.0804, Acc.fountain: 0.2086, Acc.conveyer belt: 0.9194, Acc.canopy: 0.3435, Acc.washer: 0.7692, Acc.plaything: 0.3390, Acc.swimming pool: 0.8314, Acc.stool: 0.6051, Acc.barrel: 0.6780, Acc.basket: 0.4220, Acc.waterfall: 0.5982, Acc.tent: 0.9828, Acc.bag: 0.1841, Acc.minibike: 0.8348, Acc.cradle: 0.9348, Acc.oven: 0.6594, Acc.ball: 0.6230, Acc.food: 0.6685, Acc.step: 0.2283, Acc.tank: 0.6500, Acc.trade name: 0.3097, Acc.microwave: 0.9071, Acc.pot: 0.5523, Acc.animal: 0.6969, Acc.bicycle: 0.6773, Acc.lake: 0.6368, Acc.dishwasher: 0.8228, Acc.screen: 0.6230, Acc.blanket: 0.1897, Acc.sculpture: 0.8543, Acc.hood: 0.6836, Acc.sconce: 0.6036, Acc.vase: 0.6261, Acc.traffic light: 0.5985, Acc.tray: 0.1975, Acc.ashcan: 0.5833, Acc.fan: 0.6825, Acc.pier: 0.4450, Acc.crt screen: 0.2376, Acc.plate: 0.7326, Acc.monitor: 0.1148, Acc.bulletin board: 0.6772, Acc.shower: 0.0236, Acc.radiator: 0.6436, Acc.glass: 0.1818, Acc.clock: 0.4978, Acc.flag: 0.4906 2023-11-13 22:20:44,895 - mmseg - INFO - Iter [96050/160000] lr: 2.398e-05, eta: 4:21:53, time: 0.575, data_time: 0.338, memory: 5958, decode.loss_ce: 0.1986, decode.acc_seg: 91.6334, aux.loss_ce: 0.1118, aux.acc_seg: 88.8534, loss: 0.3105 2023-11-13 22:20:57,104 - mmseg - INFO - Iter [96100/160000] lr: 2.396e-05, eta: 4:21:41, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1883, decode.acc_seg: 91.8895, aux.loss_ce: 0.1119, aux.acc_seg: 88.8926, loss: 0.3002 2023-11-13 22:21:08,854 - mmseg - INFO - Iter [96150/160000] lr: 2.394e-05, eta: 4:21:28, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1873, decode.acc_seg: 92.2101, aux.loss_ce: 0.1105, aux.acc_seg: 89.2033, loss: 0.2977 2023-11-13 22:21:20,682 - mmseg - INFO - Iter [96200/160000] lr: 2.393e-05, eta: 4:21:16, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1893, decode.acc_seg: 91.9573, aux.loss_ce: 0.1095, aux.acc_seg: 89.0950, loss: 0.2988 2023-11-13 22:21:33,046 - mmseg - INFO - Iter [96250/160000] lr: 2.391e-05, eta: 4:21:03, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1945, decode.acc_seg: 91.8311, aux.loss_ce: 0.1132, aux.acc_seg: 88.8214, loss: 0.3076 2023-11-13 22:21:44,861 - mmseg - INFO - Iter [96300/160000] lr: 2.389e-05, eta: 4:20:51, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1900, decode.acc_seg: 92.0739, aux.loss_ce: 0.1133, aux.acc_seg: 89.0416, loss: 0.3033 2023-11-13 22:21:56,609 - mmseg - INFO - Iter [96350/160000] lr: 2.387e-05, eta: 4:20:38, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1864, decode.acc_seg: 92.1031, aux.loss_ce: 0.1097, aux.acc_seg: 88.8985, loss: 0.2961 2023-11-13 22:22:09,343 - mmseg - INFO - Iter [96400/160000] lr: 2.385e-05, eta: 4:20:26, time: 0.255, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2038, decode.acc_seg: 91.6978, aux.loss_ce: 0.1230, aux.acc_seg: 88.4520, loss: 0.3269 2023-11-13 22:22:21,101 - mmseg - INFO - Iter [96450/160000] lr: 2.383e-05, eta: 4:20:14, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1900, decode.acc_seg: 91.9811, aux.loss_ce: 0.1105, aux.acc_seg: 89.1805, loss: 0.3005 2023-11-13 22:22:34,969 - mmseg - INFO - Iter [96500/160000] lr: 2.381e-05, eta: 4:20:02, time: 0.277, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1837, decode.acc_seg: 92.1215, aux.loss_ce: 0.1057, aux.acc_seg: 89.3596, loss: 0.2894 2023-11-13 22:22:48,965 - mmseg - INFO - Iter [96550/160000] lr: 2.379e-05, eta: 4:19:51, time: 0.280, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1953, decode.acc_seg: 91.8778, aux.loss_ce: 0.1147, aux.acc_seg: 88.8826, loss: 0.3100 2023-11-13 22:23:01,441 - mmseg - INFO - Iter [96600/160000] lr: 2.378e-05, eta: 4:19:39, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1930, decode.acc_seg: 91.8484, aux.loss_ce: 0.1137, aux.acc_seg: 88.6582, loss: 0.3067 2023-11-13 22:23:13,701 - mmseg - INFO - Iter [96650/160000] lr: 2.376e-05, eta: 4:19:27, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1850, decode.acc_seg: 91.8583, aux.loss_ce: 0.1100, aux.acc_seg: 88.7179, loss: 0.2950 2023-11-13 22:23:26,573 - mmseg - INFO - Iter [96700/160000] lr: 2.374e-05, eta: 4:19:15, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1836, decode.acc_seg: 92.1005, aux.loss_ce: 0.1092, aux.acc_seg: 89.1850, loss: 0.2929 2023-11-13 22:23:38,742 - mmseg - INFO - Iter [96750/160000] lr: 2.372e-05, eta: 4:19:02, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1829, decode.acc_seg: 92.1120, aux.loss_ce: 0.1090, aux.acc_seg: 89.0459, loss: 0.2919 2023-11-13 22:23:50,591 - mmseg - INFO - Iter [96800/160000] lr: 2.370e-05, eta: 4:18:50, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1870, decode.acc_seg: 92.2277, aux.loss_ce: 0.1113, aux.acc_seg: 89.1258, loss: 0.2983 2023-11-13 22:24:02,246 - mmseg - INFO - Iter [96850/160000] lr: 2.368e-05, eta: 4:18:37, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1963, decode.acc_seg: 91.6714, aux.loss_ce: 0.1145, aux.acc_seg: 88.4421, loss: 0.3108 2023-11-13 22:24:13,853 - mmseg - INFO - Iter [96900/160000] lr: 2.366e-05, eta: 4:18:24, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1863, decode.acc_seg: 92.1590, aux.loss_ce: 0.1107, aux.acc_seg: 89.1288, loss: 0.2970 2023-11-13 22:24:25,712 - mmseg - INFO - Iter [96950/160000] lr: 2.364e-05, eta: 4:18:12, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1879, decode.acc_seg: 91.9200, aux.loss_ce: 0.1077, aux.acc_seg: 89.3647, loss: 0.2956 2023-11-13 22:24:37,349 - mmseg - INFO - Saving checkpoint at 97000 iterations 2023-11-13 22:24:39,860 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:24:39,861 - mmseg - INFO - Iter [97000/160000] lr: 2.363e-05, eta: 4:18:01, time: 0.283, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1888, decode.acc_seg: 92.1087, aux.loss_ce: 0.1111, aux.acc_seg: 88.7649, loss: 0.2999 2023-11-13 22:24:51,778 - mmseg - INFO - Iter [97050/160000] lr: 2.361e-05, eta: 4:17:48, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1894, decode.acc_seg: 92.0790, aux.loss_ce: 0.1099, aux.acc_seg: 89.0707, loss: 0.2994 2023-11-13 22:25:03,729 - mmseg - INFO - Iter [97100/160000] lr: 2.359e-05, eta: 4:17:36, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1923, decode.acc_seg: 92.0963, aux.loss_ce: 0.1147, aux.acc_seg: 88.9927, loss: 0.3070 2023-11-13 22:25:15,900 - mmseg - INFO - Iter [97150/160000] lr: 2.357e-05, eta: 4:17:23, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1868, decode.acc_seg: 92.1614, aux.loss_ce: 0.1103, aux.acc_seg: 89.0852, loss: 0.2972 2023-11-13 22:25:28,070 - mmseg - INFO - Iter [97200/160000] lr: 2.355e-05, eta: 4:17:11, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1930, decode.acc_seg: 91.9771, aux.loss_ce: 0.1120, aux.acc_seg: 88.8727, loss: 0.3050 2023-11-13 22:25:39,628 - mmseg - INFO - Iter [97250/160000] lr: 2.353e-05, eta: 4:16:58, time: 0.231, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1876, decode.acc_seg: 91.8495, aux.loss_ce: 0.1101, aux.acc_seg: 88.9025, loss: 0.2977 2023-11-13 22:25:55,839 - mmseg - INFO - Iter [97300/160000] lr: 2.351e-05, eta: 4:16:49, time: 0.324, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1908, decode.acc_seg: 91.9659, aux.loss_ce: 0.1144, aux.acc_seg: 88.9217, loss: 0.3052 2023-11-13 22:26:07,672 - mmseg - INFO - Iter [97350/160000] lr: 2.349e-05, eta: 4:16:36, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1821, decode.acc_seg: 92.2594, aux.loss_ce: 0.1077, aux.acc_seg: 89.2242, loss: 0.2898 2023-11-13 22:26:20,474 - mmseg - INFO - Iter [97400/160000] lr: 2.348e-05, eta: 4:16:24, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1787, decode.acc_seg: 92.4347, aux.loss_ce: 0.1030, aux.acc_seg: 89.6736, loss: 0.2818 2023-11-13 22:26:32,225 - mmseg - INFO - Iter [97450/160000] lr: 2.346e-05, eta: 4:16:11, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1870, decode.acc_seg: 92.2837, aux.loss_ce: 0.1156, aux.acc_seg: 88.9444, loss: 0.3026 2023-11-13 22:26:44,106 - mmseg - INFO - Iter [97500/160000] lr: 2.344e-05, eta: 4:15:59, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1878, decode.acc_seg: 91.9869, aux.loss_ce: 0.1089, aux.acc_seg: 89.0087, loss: 0.2967 2023-11-13 22:26:55,920 - mmseg - INFO - Iter [97550/160000] lr: 2.342e-05, eta: 4:15:46, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1835, decode.acc_seg: 92.2651, aux.loss_ce: 0.1106, aux.acc_seg: 89.0942, loss: 0.2942 2023-11-13 22:27:07,571 - mmseg - INFO - Iter [97600/160000] lr: 2.340e-05, eta: 4:15:34, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1838, decode.acc_seg: 92.1643, aux.loss_ce: 0.1081, aux.acc_seg: 89.2984, loss: 0.2919 2023-11-13 22:27:19,233 - mmseg - INFO - Iter [97650/160000] lr: 2.338e-05, eta: 4:15:21, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1841, decode.acc_seg: 92.3692, aux.loss_ce: 0.1089, aux.acc_seg: 89.5291, loss: 0.2931 2023-11-13 22:27:30,976 - mmseg - INFO - Iter [97700/160000] lr: 2.336e-05, eta: 4:15:08, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2007, decode.acc_seg: 91.7428, aux.loss_ce: 0.1199, aux.acc_seg: 88.5910, loss: 0.3206 2023-11-13 22:27:42,874 - mmseg - INFO - Iter [97750/160000] lr: 2.334e-05, eta: 4:14:56, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2007, decode.acc_seg: 91.6980, aux.loss_ce: 0.1158, aux.acc_seg: 88.7344, loss: 0.3165 2023-11-13 22:27:54,540 - mmseg - INFO - Iter [97800/160000] lr: 2.333e-05, eta: 4:14:43, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1920, decode.acc_seg: 91.6990, aux.loss_ce: 0.1126, aux.acc_seg: 88.8526, loss: 0.3046 2023-11-13 22:28:06,253 - mmseg - INFO - Iter [97850/160000] lr: 2.331e-05, eta: 4:14:30, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1821, decode.acc_seg: 92.1557, aux.loss_ce: 0.1087, aux.acc_seg: 89.0747, loss: 0.2909 2023-11-13 22:28:18,707 - mmseg - INFO - Iter [97900/160000] lr: 2.329e-05, eta: 4:14:18, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1818, decode.acc_seg: 92.3792, aux.loss_ce: 0.1065, aux.acc_seg: 89.2600, loss: 0.2884 2023-11-13 22:28:30,474 - mmseg - INFO - Iter [97950/160000] lr: 2.327e-05, eta: 4:14:06, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1884, decode.acc_seg: 92.1674, aux.loss_ce: 0.1108, aux.acc_seg: 89.2282, loss: 0.2992 2023-11-13 22:28:42,420 - mmseg - INFO - Saving checkpoint at 98000 iterations 2023-11-13 22:28:44,925 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:28:44,925 - mmseg - INFO - Iter [98000/160000] lr: 2.325e-05, eta: 4:13:55, time: 0.289, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1828, decode.acc_seg: 92.4548, aux.loss_ce: 0.1060, aux.acc_seg: 89.5939, loss: 0.2887 2023-11-13 22:28:56,642 - mmseg - INFO - Iter [98050/160000] lr: 2.323e-05, eta: 4:13:42, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1899, decode.acc_seg: 91.9790, aux.loss_ce: 0.1131, aux.acc_seg: 88.7902, loss: 0.3030 2023-11-13 22:29:08,279 - mmseg - INFO - Iter [98100/160000] lr: 2.321e-05, eta: 4:13:29, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1877, decode.acc_seg: 92.2666, aux.loss_ce: 0.1120, aux.acc_seg: 89.5338, loss: 0.2996 2023-11-13 22:29:20,058 - mmseg - INFO - Iter [98150/160000] lr: 2.319e-05, eta: 4:13:17, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1874, decode.acc_seg: 92.2115, aux.loss_ce: 0.1125, aux.acc_seg: 88.9774, loss: 0.2998 2023-11-13 22:29:32,519 - mmseg - INFO - Iter [98200/160000] lr: 2.318e-05, eta: 4:13:04, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1842, decode.acc_seg: 92.2316, aux.loss_ce: 0.1116, aux.acc_seg: 89.0248, loss: 0.2957 2023-11-13 22:29:44,174 - mmseg - INFO - Iter [98250/160000] lr: 2.316e-05, eta: 4:12:52, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1978, decode.acc_seg: 91.6991, aux.loss_ce: 0.1180, aux.acc_seg: 88.4278, loss: 0.3158 2023-11-13 22:29:57,119 - mmseg - INFO - Iter [98300/160000] lr: 2.314e-05, eta: 4:12:40, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1859, decode.acc_seg: 92.0772, aux.loss_ce: 0.1081, aux.acc_seg: 89.1692, loss: 0.2940 2023-11-13 22:30:08,725 - mmseg - INFO - Iter [98350/160000] lr: 2.312e-05, eta: 4:12:27, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1848, decode.acc_seg: 92.0626, aux.loss_ce: 0.1105, aux.acc_seg: 88.9221, loss: 0.2953 2023-11-13 22:30:20,353 - mmseg - INFO - Iter [98400/160000] lr: 2.310e-05, eta: 4:12:15, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1987, decode.acc_seg: 91.5153, aux.loss_ce: 0.1174, aux.acc_seg: 88.2944, loss: 0.3161 2023-11-13 22:30:32,236 - mmseg - INFO - Iter [98450/160000] lr: 2.308e-05, eta: 4:12:02, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1848, decode.acc_seg: 92.1415, aux.loss_ce: 0.1088, aux.acc_seg: 89.3125, loss: 0.2937 2023-11-13 22:30:43,809 - mmseg - INFO - Iter [98500/160000] lr: 2.306e-05, eta: 4:11:49, time: 0.231, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1897, decode.acc_seg: 92.0407, aux.loss_ce: 0.1104, aux.acc_seg: 89.0557, loss: 0.3001 2023-11-13 22:30:57,783 - mmseg - INFO - Iter [98550/160000] lr: 2.304e-05, eta: 4:11:38, time: 0.279, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1907, decode.acc_seg: 91.8539, aux.loss_ce: 0.1126, aux.acc_seg: 88.9606, loss: 0.3033 2023-11-13 22:31:09,442 - mmseg - INFO - Iter [98600/160000] lr: 2.303e-05, eta: 4:11:25, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1879, decode.acc_seg: 92.0465, aux.loss_ce: 0.1120, aux.acc_seg: 89.1097, loss: 0.2999 2023-11-13 22:31:21,296 - mmseg - INFO - Iter [98650/160000] lr: 2.301e-05, eta: 4:11:13, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1952, decode.acc_seg: 91.9861, aux.loss_ce: 0.1155, aux.acc_seg: 89.0763, loss: 0.3107 2023-11-13 22:31:33,132 - mmseg - INFO - Iter [98700/160000] lr: 2.299e-05, eta: 4:11:00, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1764, decode.acc_seg: 92.4495, aux.loss_ce: 0.1044, aux.acc_seg: 89.6902, loss: 0.2809 2023-11-13 22:31:44,814 - mmseg - INFO - Iter [98750/160000] lr: 2.297e-05, eta: 4:10:48, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1911, decode.acc_seg: 91.8755, aux.loss_ce: 0.1113, aux.acc_seg: 89.0002, loss: 0.3024 2023-11-13 22:31:56,426 - mmseg - INFO - Iter [98800/160000] lr: 2.295e-05, eta: 4:10:35, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1843, decode.acc_seg: 91.9852, aux.loss_ce: 0.1106, aux.acc_seg: 88.8657, loss: 0.2949 2023-11-13 22:32:08,129 - mmseg - INFO - Iter [98850/160000] lr: 2.293e-05, eta: 4:10:22, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1841, decode.acc_seg: 91.9955, aux.loss_ce: 0.1104, aux.acc_seg: 88.8133, loss: 0.2945 2023-11-13 22:32:20,166 - mmseg - INFO - Iter [98900/160000] lr: 2.291e-05, eta: 4:10:10, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1897, decode.acc_seg: 91.8139, aux.loss_ce: 0.1115, aux.acc_seg: 88.8163, loss: 0.3012 2023-11-13 22:32:31,984 - mmseg - INFO - Iter [98950/160000] lr: 2.289e-05, eta: 4:09:57, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1892, decode.acc_seg: 92.0174, aux.loss_ce: 0.1116, aux.acc_seg: 89.1496, loss: 0.3008 2023-11-13 22:32:43,690 - mmseg - INFO - Saving checkpoint at 99000 iterations 2023-11-13 22:32:46,293 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:32:46,293 - mmseg - INFO - Iter [99000/160000] lr: 2.288e-05, eta: 4:09:46, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1903, decode.acc_seg: 92.0979, aux.loss_ce: 0.1114, aux.acc_seg: 88.9081, loss: 0.3018 2023-11-13 22:32:58,111 - mmseg - INFO - Iter [99050/160000] lr: 2.286e-05, eta: 4:09:34, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1849, decode.acc_seg: 92.1936, aux.loss_ce: 0.1108, aux.acc_seg: 89.2065, loss: 0.2957 2023-11-13 22:33:09,778 - mmseg - INFO - Iter [99100/160000] lr: 2.284e-05, eta: 4:09:21, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1931, decode.acc_seg: 91.8929, aux.loss_ce: 0.1127, aux.acc_seg: 89.0160, loss: 0.3059 2023-11-13 22:33:21,575 - mmseg - INFO - Iter [99150/160000] lr: 2.282e-05, eta: 4:09:08, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1859, decode.acc_seg: 92.3571, aux.loss_ce: 0.1121, aux.acc_seg: 89.1575, loss: 0.2980 2023-11-13 22:33:34,698 - mmseg - INFO - Iter [99200/160000] lr: 2.280e-05, eta: 4:08:57, time: 0.262, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1799, decode.acc_seg: 92.3184, aux.loss_ce: 0.1112, aux.acc_seg: 89.0042, loss: 0.2912 2023-11-13 22:33:46,402 - mmseg - INFO - Iter [99250/160000] lr: 2.278e-05, eta: 4:08:44, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1845, decode.acc_seg: 92.1198, aux.loss_ce: 0.1103, aux.acc_seg: 88.9566, loss: 0.2949 2023-11-13 22:33:58,579 - mmseg - INFO - Iter [99300/160000] lr: 2.276e-05, eta: 4:08:32, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1809, decode.acc_seg: 92.5006, aux.loss_ce: 0.1073, aux.acc_seg: 89.6044, loss: 0.2881 2023-11-13 22:34:10,213 - mmseg - INFO - Iter [99350/160000] lr: 2.274e-05, eta: 4:08:19, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1897, decode.acc_seg: 92.0317, aux.loss_ce: 0.1184, aux.acc_seg: 88.2933, loss: 0.3081 2023-11-13 22:34:22,434 - mmseg - INFO - Iter [99400/160000] lr: 2.273e-05, eta: 4:08:07, time: 0.244, data_time: 0.007, memory: 5958, decode.loss_ce: 0.1848, decode.acc_seg: 92.1619, aux.loss_ce: 0.1085, aux.acc_seg: 89.2649, loss: 0.2932 2023-11-13 22:34:34,585 - mmseg - INFO - Iter [99450/160000] lr: 2.271e-05, eta: 4:07:54, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1869, decode.acc_seg: 92.1062, aux.loss_ce: 0.1115, aux.acc_seg: 89.0884, loss: 0.2984 2023-11-13 22:34:46,214 - mmseg - INFO - Iter [99500/160000] lr: 2.269e-05, eta: 4:07:42, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1873, decode.acc_seg: 92.2235, aux.loss_ce: 0.1067, aux.acc_seg: 89.6058, loss: 0.2940 2023-11-13 22:34:57,957 - mmseg - INFO - Iter [99550/160000] lr: 2.267e-05, eta: 4:07:29, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2117, decode.acc_seg: 91.5027, aux.loss_ce: 0.1211, aux.acc_seg: 88.6183, loss: 0.3328 2023-11-13 22:35:09,735 - mmseg - INFO - Iter [99600/160000] lr: 2.265e-05, eta: 4:07:16, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1945, decode.acc_seg: 91.8904, aux.loss_ce: 0.1143, aux.acc_seg: 88.9348, loss: 0.3088 2023-11-13 22:35:21,347 - mmseg - INFO - Iter [99650/160000] lr: 2.263e-05, eta: 4:07:04, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1873, decode.acc_seg: 92.1100, aux.loss_ce: 0.1140, aux.acc_seg: 88.8371, loss: 0.3013 2023-11-13 22:35:32,988 - mmseg - INFO - Iter [99700/160000] lr: 2.261e-05, eta: 4:06:51, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1916, decode.acc_seg: 91.8086, aux.loss_ce: 0.1144, aux.acc_seg: 88.5367, loss: 0.3060 2023-11-13 22:35:44,617 - mmseg - INFO - Iter [99750/160000] lr: 2.259e-05, eta: 4:06:38, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1929, decode.acc_seg: 91.7048, aux.loss_ce: 0.1132, aux.acc_seg: 88.8317, loss: 0.3061 2023-11-13 22:35:58,735 - mmseg - INFO - Iter [99800/160000] lr: 2.258e-05, eta: 4:06:27, time: 0.282, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1910, decode.acc_seg: 92.0218, aux.loss_ce: 0.1113, aux.acc_seg: 88.9911, loss: 0.3023 2023-11-13 22:36:10,818 - mmseg - INFO - Iter [99850/160000] lr: 2.256e-05, eta: 4:06:15, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1790, decode.acc_seg: 92.2319, aux.loss_ce: 0.1082, aux.acc_seg: 89.0474, loss: 0.2872 2023-11-13 22:36:22,675 - mmseg - INFO - Iter [99900/160000] lr: 2.254e-05, eta: 4:06:02, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1798, decode.acc_seg: 92.2989, aux.loss_ce: 0.1095, aux.acc_seg: 89.1390, loss: 0.2893 2023-11-13 22:36:35,833 - mmseg - INFO - Iter [99950/160000] lr: 2.252e-05, eta: 4:05:50, time: 0.264, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1809, decode.acc_seg: 92.3088, aux.loss_ce: 0.1076, aux.acc_seg: 89.4027, loss: 0.2885 2023-11-13 22:36:47,866 - mmseg - INFO - Saving checkpoint at 100000 iterations 2023-11-13 22:36:50,412 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:36:50,412 - mmseg - INFO - Iter [100000/160000] lr: 2.250e-05, eta: 4:05:40, time: 0.292, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1757, decode.acc_seg: 92.5870, aux.loss_ce: 0.1074, aux.acc_seg: 89.4474, loss: 0.2832 2023-11-13 22:37:02,038 - mmseg - INFO - Iter [100050/160000] lr: 2.248e-05, eta: 4:05:27, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1786, decode.acc_seg: 92.2657, aux.loss_ce: 0.1050, aux.acc_seg: 89.4110, loss: 0.2837 2023-11-13 22:37:13,702 - mmseg - INFO - Iter [100100/160000] lr: 2.246e-05, eta: 4:05:14, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1840, decode.acc_seg: 92.1502, aux.loss_ce: 0.1078, aux.acc_seg: 89.4199, loss: 0.2918 2023-11-13 22:37:26,202 - mmseg - INFO - Iter [100150/160000] lr: 2.244e-05, eta: 4:05:02, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1885, decode.acc_seg: 92.0612, aux.loss_ce: 0.1084, aux.acc_seg: 89.4095, loss: 0.2969 2023-11-13 22:37:38,431 - mmseg - INFO - Iter [100200/160000] lr: 2.243e-05, eta: 4:04:50, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1913, decode.acc_seg: 92.0400, aux.loss_ce: 0.1135, aux.acc_seg: 89.1033, loss: 0.3049 2023-11-13 22:37:50,214 - mmseg - INFO - Iter [100250/160000] lr: 2.241e-05, eta: 4:04:37, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1855, decode.acc_seg: 92.3826, aux.loss_ce: 0.1069, aux.acc_seg: 89.4432, loss: 0.2924 2023-11-13 22:38:02,386 - mmseg - INFO - Iter [100300/160000] lr: 2.239e-05, eta: 4:04:25, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1833, decode.acc_seg: 92.0408, aux.loss_ce: 0.1115, aux.acc_seg: 88.9160, loss: 0.2948 2023-11-13 22:38:14,209 - mmseg - INFO - Iter [100350/160000] lr: 2.237e-05, eta: 4:04:12, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1839, decode.acc_seg: 92.1188, aux.loss_ce: 0.1077, aux.acc_seg: 89.1181, loss: 0.2917 2023-11-13 22:38:25,992 - mmseg - INFO - Iter [100400/160000] lr: 2.235e-05, eta: 4:04:00, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1860, decode.acc_seg: 92.1525, aux.loss_ce: 0.1121, aux.acc_seg: 88.9839, loss: 0.2981 2023-11-13 22:38:37,701 - mmseg - INFO - Iter [100450/160000] lr: 2.233e-05, eta: 4:03:47, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1871, decode.acc_seg: 92.0965, aux.loss_ce: 0.1113, aux.acc_seg: 88.9691, loss: 0.2984 2023-11-13 22:38:50,810 - mmseg - INFO - Iter [100500/160000] lr: 2.231e-05, eta: 4:03:35, time: 0.261, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1915, decode.acc_seg: 91.6005, aux.loss_ce: 0.1138, aux.acc_seg: 88.3802, loss: 0.3053 2023-11-13 22:39:02,546 - mmseg - INFO - Iter [100550/160000] lr: 2.229e-05, eta: 4:03:23, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1867, decode.acc_seg: 92.0139, aux.loss_ce: 0.1082, aux.acc_seg: 89.2578, loss: 0.2949 2023-11-13 22:39:14,341 - mmseg - INFO - Iter [100600/160000] lr: 2.228e-05, eta: 4:03:10, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1872, decode.acc_seg: 91.9338, aux.loss_ce: 0.1087, aux.acc_seg: 89.0905, loss: 0.2960 2023-11-13 22:39:26,119 - mmseg - INFO - Iter [100650/160000] lr: 2.226e-05, eta: 4:02:58, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1832, decode.acc_seg: 92.1752, aux.loss_ce: 0.1084, aux.acc_seg: 89.2748, loss: 0.2916 2023-11-13 22:39:37,720 - mmseg - INFO - Iter [100700/160000] lr: 2.224e-05, eta: 4:02:45, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.2043, decode.acc_seg: 91.8106, aux.loss_ce: 0.1161, aux.acc_seg: 88.8544, loss: 0.3205 2023-11-13 22:39:49,557 - mmseg - INFO - Iter [100750/160000] lr: 2.222e-05, eta: 4:02:32, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1745, decode.acc_seg: 92.3917, aux.loss_ce: 0.1050, aux.acc_seg: 89.3464, loss: 0.2795 2023-11-13 22:40:01,355 - mmseg - INFO - Iter [100800/160000] lr: 2.220e-05, eta: 4:02:20, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1820, decode.acc_seg: 92.2761, aux.loss_ce: 0.1126, aux.acc_seg: 88.9278, loss: 0.2946 2023-11-13 22:40:12,967 - mmseg - INFO - Iter [100850/160000] lr: 2.218e-05, eta: 4:02:07, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1680, decode.acc_seg: 92.7669, aux.loss_ce: 0.0989, aux.acc_seg: 89.9903, loss: 0.2670 2023-11-13 22:40:24,592 - mmseg - INFO - Iter [100900/160000] lr: 2.216e-05, eta: 4:01:54, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1911, decode.acc_seg: 91.9384, aux.loss_ce: 0.1143, aux.acc_seg: 88.7969, loss: 0.3053 2023-11-13 22:40:36,210 - mmseg - INFO - Iter [100950/160000] lr: 2.214e-05, eta: 4:01:42, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1974, decode.acc_seg: 91.7303, aux.loss_ce: 0.1137, aux.acc_seg: 88.8865, loss: 0.3112 2023-11-13 22:40:47,844 - mmseg - INFO - Saving checkpoint at 101000 iterations 2023-11-13 22:40:50,490 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:40:50,490 - mmseg - INFO - Iter [101000/160000] lr: 2.213e-05, eta: 4:01:31, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1835, decode.acc_seg: 92.3077, aux.loss_ce: 0.1110, aux.acc_seg: 89.2135, loss: 0.2945 2023-11-13 22:41:05,021 - mmseg - INFO - Iter [101050/160000] lr: 2.211e-05, eta: 4:01:20, time: 0.291, data_time: 0.047, memory: 5958, decode.loss_ce: 0.1875, decode.acc_seg: 92.2305, aux.loss_ce: 0.1091, aux.acc_seg: 89.6197, loss: 0.2965 2023-11-13 22:41:17,023 - mmseg - INFO - Iter [101100/160000] lr: 2.209e-05, eta: 4:01:07, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1842, decode.acc_seg: 92.2028, aux.loss_ce: 0.1117, aux.acc_seg: 89.0890, loss: 0.2959 2023-11-13 22:41:29,657 - mmseg - INFO - Iter [101150/160000] lr: 2.207e-05, eta: 4:00:55, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1799, decode.acc_seg: 92.3399, aux.loss_ce: 0.1062, aux.acc_seg: 89.4073, loss: 0.2861 2023-11-13 22:41:42,611 - mmseg - INFO - Iter [101200/160000] lr: 2.205e-05, eta: 4:00:43, time: 0.259, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1829, decode.acc_seg: 92.3227, aux.loss_ce: 0.1096, aux.acc_seg: 89.2328, loss: 0.2925 2023-11-13 22:41:56,265 - mmseg - INFO - Iter [101250/160000] lr: 2.203e-05, eta: 4:00:32, time: 0.273, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1776, decode.acc_seg: 92.4108, aux.loss_ce: 0.1101, aux.acc_seg: 89.2001, loss: 0.2877 2023-11-13 22:42:08,541 - mmseg - INFO - Iter [101300/160000] lr: 2.201e-05, eta: 4:00:19, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1930, decode.acc_seg: 92.0040, aux.loss_ce: 0.1180, aux.acc_seg: 88.6997, loss: 0.3110 2023-11-13 22:42:20,489 - mmseg - INFO - Iter [101350/160000] lr: 2.199e-05, eta: 4:00:07, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1821, decode.acc_seg: 92.2264, aux.loss_ce: 0.1119, aux.acc_seg: 89.1563, loss: 0.2941 2023-11-13 22:42:32,235 - mmseg - INFO - Iter [101400/160000] lr: 2.198e-05, eta: 3:59:54, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1790, decode.acc_seg: 92.3760, aux.loss_ce: 0.1060, aux.acc_seg: 89.5019, loss: 0.2850 2023-11-13 22:42:45,288 - mmseg - INFO - Iter [101450/160000] lr: 2.196e-05, eta: 3:59:43, time: 0.261, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1951, decode.acc_seg: 92.0157, aux.loss_ce: 0.1128, aux.acc_seg: 89.1682, loss: 0.3079 2023-11-13 22:42:57,654 - mmseg - INFO - Iter [101500/160000] lr: 2.194e-05, eta: 3:59:30, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1931, decode.acc_seg: 91.9305, aux.loss_ce: 0.1124, aux.acc_seg: 89.2621, loss: 0.3055 2023-11-13 22:43:09,366 - mmseg - INFO - Iter [101550/160000] lr: 2.192e-05, eta: 3:59:18, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1860, decode.acc_seg: 92.4061, aux.loss_ce: 0.1116, aux.acc_seg: 89.3341, loss: 0.2976 2023-11-13 22:43:20,995 - mmseg - INFO - Iter [101600/160000] lr: 2.190e-05, eta: 3:59:05, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1828, decode.acc_seg: 92.2556, aux.loss_ce: 0.1089, aux.acc_seg: 89.0560, loss: 0.2917 2023-11-13 22:43:33,268 - mmseg - INFO - Iter [101650/160000] lr: 2.188e-05, eta: 3:58:53, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1794, decode.acc_seg: 92.4852, aux.loss_ce: 0.1049, aux.acc_seg: 89.6244, loss: 0.2843 2023-11-13 22:43:44,952 - mmseg - INFO - Iter [101700/160000] lr: 2.186e-05, eta: 3:58:40, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1846, decode.acc_seg: 91.9243, aux.loss_ce: 0.1122, aux.acc_seg: 88.8943, loss: 0.2968 2023-11-13 22:43:56,556 - mmseg - INFO - Iter [101750/160000] lr: 2.184e-05, eta: 3:58:27, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1974, decode.acc_seg: 91.7666, aux.loss_ce: 0.1169, aux.acc_seg: 88.6988, loss: 0.3142 2023-11-13 22:44:08,333 - mmseg - INFO - Iter [101800/160000] lr: 2.183e-05, eta: 3:58:15, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1811, decode.acc_seg: 92.5142, aux.loss_ce: 0.1077, aux.acc_seg: 89.6103, loss: 0.2889 2023-11-13 22:44:19,967 - mmseg - INFO - Iter [101850/160000] lr: 2.181e-05, eta: 3:58:02, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1839, decode.acc_seg: 92.1334, aux.loss_ce: 0.1076, aux.acc_seg: 89.3396, loss: 0.2915 2023-11-13 22:44:31,672 - mmseg - INFO - Iter [101900/160000] lr: 2.179e-05, eta: 3:57:50, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1895, decode.acc_seg: 91.9032, aux.loss_ce: 0.1150, aux.acc_seg: 88.5654, loss: 0.3045 2023-11-13 22:44:43,446 - mmseg - INFO - Iter [101950/160000] lr: 2.177e-05, eta: 3:57:37, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1742, decode.acc_seg: 92.5343, aux.loss_ce: 0.1006, aux.acc_seg: 89.9724, loss: 0.2748 2023-11-13 22:44:55,233 - mmseg - INFO - Saving checkpoint at 102000 iterations 2023-11-13 22:44:57,840 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:44:57,840 - mmseg - INFO - Iter [102000/160000] lr: 2.175e-05, eta: 3:57:26, time: 0.288, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1827, decode.acc_seg: 92.3795, aux.loss_ce: 0.1090, aux.acc_seg: 89.2558, loss: 0.2917 2023-11-13 22:45:09,804 - mmseg - INFO - Iter [102050/160000] lr: 2.173e-05, eta: 3:57:14, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1828, decode.acc_seg: 92.1191, aux.loss_ce: 0.1083, aux.acc_seg: 89.1051, loss: 0.2912 2023-11-13 22:45:21,767 - mmseg - INFO - Iter [102100/160000] lr: 2.171e-05, eta: 3:57:01, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1934, decode.acc_seg: 91.8182, aux.loss_ce: 0.1165, aux.acc_seg: 88.5515, loss: 0.3098 2023-11-13 22:45:33,366 - mmseg - INFO - Iter [102150/160000] lr: 2.169e-05, eta: 3:56:48, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1752, decode.acc_seg: 92.5770, aux.loss_ce: 0.1041, aux.acc_seg: 89.6839, loss: 0.2793 2023-11-13 22:45:45,636 - mmseg - INFO - Iter [102200/160000] lr: 2.168e-05, eta: 3:56:36, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1792, decode.acc_seg: 92.3388, aux.loss_ce: 0.1041, aux.acc_seg: 89.5962, loss: 0.2832 2023-11-13 22:45:57,312 - mmseg - INFO - Iter [102250/160000] lr: 2.166e-05, eta: 3:56:24, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1668, decode.acc_seg: 92.8220, aux.loss_ce: 0.0988, aux.acc_seg: 90.2304, loss: 0.2657 2023-11-13 22:46:09,284 - mmseg - INFO - Iter [102300/160000] lr: 2.164e-05, eta: 3:56:11, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.2026, decode.acc_seg: 91.7086, aux.loss_ce: 0.1221, aux.acc_seg: 88.3172, loss: 0.3247 2023-11-13 22:46:23,319 - mmseg - INFO - Iter [102350/160000] lr: 2.162e-05, eta: 3:56:00, time: 0.281, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1825, decode.acc_seg: 92.3135, aux.loss_ce: 0.1052, aux.acc_seg: 89.4862, loss: 0.2877 2023-11-13 22:46:35,128 - mmseg - INFO - Iter [102400/160000] lr: 2.160e-05, eta: 3:55:47, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1873, decode.acc_seg: 92.1341, aux.loss_ce: 0.1143, aux.acc_seg: 88.6919, loss: 0.3016 2023-11-13 22:46:46,757 - mmseg - INFO - Iter [102450/160000] lr: 2.158e-05, eta: 3:55:35, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1811, decode.acc_seg: 92.1516, aux.loss_ce: 0.1071, aux.acc_seg: 89.2690, loss: 0.2881 2023-11-13 22:46:58,383 - mmseg - INFO - Iter [102500/160000] lr: 2.156e-05, eta: 3:55:22, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1884, decode.acc_seg: 91.9264, aux.loss_ce: 0.1113, aux.acc_seg: 89.0144, loss: 0.2997 2023-11-13 22:47:09,987 - mmseg - INFO - Iter [102550/160000] lr: 2.154e-05, eta: 3:55:09, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1790, decode.acc_seg: 92.4004, aux.loss_ce: 0.1056, aux.acc_seg: 89.6317, loss: 0.2846 2023-11-13 22:47:21,766 - mmseg - INFO - Iter [102600/160000] lr: 2.153e-05, eta: 3:54:57, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1824, decode.acc_seg: 92.2967, aux.loss_ce: 0.1089, aux.acc_seg: 89.2456, loss: 0.2914 2023-11-13 22:47:33,483 - mmseg - INFO - Iter [102650/160000] lr: 2.151e-05, eta: 3:54:44, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1860, decode.acc_seg: 92.2752, aux.loss_ce: 0.1141, aux.acc_seg: 88.7866, loss: 0.3001 2023-11-13 22:47:45,199 - mmseg - INFO - Iter [102700/160000] lr: 2.149e-05, eta: 3:54:32, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1925, decode.acc_seg: 91.6382, aux.loss_ce: 0.1147, aux.acc_seg: 88.3914, loss: 0.3072 2023-11-13 22:47:56,829 - mmseg - INFO - Iter [102750/160000] lr: 2.147e-05, eta: 3:54:19, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1859, decode.acc_seg: 92.2924, aux.loss_ce: 0.1106, aux.acc_seg: 89.2043, loss: 0.2964 2023-11-13 22:48:08,421 - mmseg - INFO - Iter [102800/160000] lr: 2.145e-05, eta: 3:54:06, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1816, decode.acc_seg: 92.4357, aux.loss_ce: 0.1058, aux.acc_seg: 89.5470, loss: 0.2875 2023-11-13 22:48:20,029 - mmseg - INFO - Iter [102850/160000] lr: 2.143e-05, eta: 3:53:54, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1823, decode.acc_seg: 92.5587, aux.loss_ce: 0.1079, aux.acc_seg: 89.7430, loss: 0.2902 2023-11-13 22:48:32,359 - mmseg - INFO - Iter [102900/160000] lr: 2.141e-05, eta: 3:53:41, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1836, decode.acc_seg: 92.1914, aux.loss_ce: 0.1073, aux.acc_seg: 89.4405, loss: 0.2909 2023-11-13 22:48:43,983 - mmseg - INFO - Iter [102950/160000] lr: 2.139e-05, eta: 3:53:29, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1808, decode.acc_seg: 92.0976, aux.loss_ce: 0.1078, aux.acc_seg: 89.0747, loss: 0.2886 2023-11-13 22:48:55,632 - mmseg - INFO - Saving checkpoint at 103000 iterations 2023-11-13 22:48:58,246 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:48:58,246 - mmseg - INFO - Iter [103000/160000] lr: 2.138e-05, eta: 3:53:17, time: 0.285, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1828, decode.acc_seg: 92.2409, aux.loss_ce: 0.1107, aux.acc_seg: 88.9884, loss: 0.2934 2023-11-13 22:49:10,530 - mmseg - INFO - Iter [103050/160000] lr: 2.136e-05, eta: 3:53:05, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1860, decode.acc_seg: 92.1126, aux.loss_ce: 0.1096, aux.acc_seg: 89.1123, loss: 0.2956 2023-11-13 22:49:22,208 - mmseg - INFO - Iter [103100/160000] lr: 2.134e-05, eta: 3:52:53, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1841, decode.acc_seg: 92.1574, aux.loss_ce: 0.1127, aux.acc_seg: 88.9962, loss: 0.2968 2023-11-13 22:49:33,800 - mmseg - INFO - Iter [103150/160000] lr: 2.132e-05, eta: 3:52:40, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1926, decode.acc_seg: 91.8686, aux.loss_ce: 0.1117, aux.acc_seg: 89.0461, loss: 0.3043 2023-11-13 22:49:45,906 - mmseg - INFO - Iter [103200/160000] lr: 2.130e-05, eta: 3:52:28, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1773, decode.acc_seg: 92.4990, aux.loss_ce: 0.1059, aux.acc_seg: 89.3337, loss: 0.2832 2023-11-13 22:49:57,606 - mmseg - INFO - Iter [103250/160000] lr: 2.128e-05, eta: 3:52:15, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1729, decode.acc_seg: 92.5845, aux.loss_ce: 0.1064, aux.acc_seg: 89.1917, loss: 0.2793 2023-11-13 22:50:09,338 - mmseg - INFO - Iter [103300/160000] lr: 2.126e-05, eta: 3:52:02, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1869, decode.acc_seg: 92.1117, aux.loss_ce: 0.1108, aux.acc_seg: 89.1902, loss: 0.2977 2023-11-13 22:50:21,430 - mmseg - INFO - Iter [103350/160000] lr: 2.124e-05, eta: 3:51:50, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1775, decode.acc_seg: 92.0897, aux.loss_ce: 0.1083, aux.acc_seg: 88.6837, loss: 0.2858 2023-11-13 22:50:33,039 - mmseg - INFO - Iter [103400/160000] lr: 2.123e-05, eta: 3:51:37, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1886, decode.acc_seg: 92.0867, aux.loss_ce: 0.1092, aux.acc_seg: 89.2713, loss: 0.2978 2023-11-13 22:50:44,746 - mmseg - INFO - Iter [103450/160000] lr: 2.121e-05, eta: 3:51:25, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1924, decode.acc_seg: 91.9271, aux.loss_ce: 0.1124, aux.acc_seg: 89.0715, loss: 0.3049 2023-11-13 22:50:56,653 - mmseg - INFO - Iter [103500/160000] lr: 2.119e-05, eta: 3:51:12, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1805, decode.acc_seg: 92.3450, aux.loss_ce: 0.1067, aux.acc_seg: 89.3788, loss: 0.2872 2023-11-13 22:51:08,296 - mmseg - INFO - Iter [103550/160000] lr: 2.117e-05, eta: 3:51:00, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1891, decode.acc_seg: 91.8012, aux.loss_ce: 0.1110, aux.acc_seg: 88.8077, loss: 0.3002 2023-11-13 22:51:22,255 - mmseg - INFO - Iter [103600/160000] lr: 2.115e-05, eta: 3:50:48, time: 0.279, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1859, decode.acc_seg: 92.2088, aux.loss_ce: 0.1127, aux.acc_seg: 88.7920, loss: 0.2986 2023-11-13 22:51:33,953 - mmseg - INFO - Iter [103650/160000] lr: 2.113e-05, eta: 3:50:36, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1812, decode.acc_seg: 92.4260, aux.loss_ce: 0.1053, aux.acc_seg: 89.6882, loss: 0.2866 2023-11-13 22:51:45,592 - mmseg - INFO - Iter [103700/160000] lr: 2.111e-05, eta: 3:50:23, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1851, decode.acc_seg: 92.2167, aux.loss_ce: 0.1148, aux.acc_seg: 88.9025, loss: 0.2999 2023-11-13 22:51:57,922 - mmseg - INFO - Iter [103750/160000] lr: 2.109e-05, eta: 3:50:11, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1804, decode.acc_seg: 92.3576, aux.loss_ce: 0.1075, aux.acc_seg: 89.1560, loss: 0.2879 2023-11-13 22:52:09,907 - mmseg - INFO - Iter [103800/160000] lr: 2.108e-05, eta: 3:49:58, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1864, decode.acc_seg: 92.1838, aux.loss_ce: 0.1077, aux.acc_seg: 89.2776, loss: 0.2940 2023-11-13 22:52:22,400 - mmseg - INFO - Iter [103850/160000] lr: 2.106e-05, eta: 3:49:46, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1792, decode.acc_seg: 92.3392, aux.loss_ce: 0.1110, aux.acc_seg: 89.0321, loss: 0.2902 2023-11-13 22:52:34,581 - mmseg - INFO - Iter [103900/160000] lr: 2.104e-05, eta: 3:49:34, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1859, decode.acc_seg: 92.1649, aux.loss_ce: 0.1088, aux.acc_seg: 89.2162, loss: 0.2947 2023-11-13 22:52:47,371 - mmseg - INFO - Iter [103950/160000] lr: 2.102e-05, eta: 3:49:22, time: 0.256, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1711, decode.acc_seg: 92.6400, aux.loss_ce: 0.1068, aux.acc_seg: 89.1711, loss: 0.2779 2023-11-13 22:52:59,177 - mmseg - INFO - Saving checkpoint at 104000 iterations 2023-11-13 22:53:01,906 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:53:01,906 - mmseg - INFO - Iter [104000/160000] lr: 2.100e-05, eta: 3:49:11, time: 0.291, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1779, decode.acc_seg: 92.3112, aux.loss_ce: 0.1081, aux.acc_seg: 89.3040, loss: 0.2860 2023-11-13 22:53:13,825 - mmseg - INFO - Iter [104050/160000] lr: 2.098e-05, eta: 3:48:58, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1767, decode.acc_seg: 92.2622, aux.loss_ce: 0.1038, aux.acc_seg: 89.3028, loss: 0.2804 2023-11-13 22:53:25,535 - mmseg - INFO - Iter [104100/160000] lr: 2.096e-05, eta: 3:48:46, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1913, decode.acc_seg: 92.1107, aux.loss_ce: 0.1144, aux.acc_seg: 89.0357, loss: 0.3057 2023-11-13 22:53:37,116 - mmseg - INFO - Iter [104150/160000] lr: 2.094e-05, eta: 3:48:33, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1722, decode.acc_seg: 92.5705, aux.loss_ce: 0.1039, aux.acc_seg: 89.6154, loss: 0.2761 2023-11-13 22:53:49,047 - mmseg - INFO - Iter [104200/160000] lr: 2.093e-05, eta: 3:48:21, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1931, decode.acc_seg: 92.1469, aux.loss_ce: 0.1148, aux.acc_seg: 89.0913, loss: 0.3079 2023-11-13 22:54:01,125 - mmseg - INFO - Iter [104250/160000] lr: 2.091e-05, eta: 3:48:08, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1766, decode.acc_seg: 92.3654, aux.loss_ce: 0.1062, aux.acc_seg: 89.5327, loss: 0.2829 2023-11-13 22:54:12,815 - mmseg - INFO - Iter [104300/160000] lr: 2.089e-05, eta: 3:47:56, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1978, decode.acc_seg: 91.8730, aux.loss_ce: 0.1178, aux.acc_seg: 88.6891, loss: 0.3156 2023-11-13 22:54:24,510 - mmseg - INFO - Iter [104350/160000] lr: 2.087e-05, eta: 3:47:43, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1775, decode.acc_seg: 92.4482, aux.loss_ce: 0.1041, aux.acc_seg: 89.7350, loss: 0.2816 2023-11-13 22:54:36,203 - mmseg - INFO - Iter [104400/160000] lr: 2.085e-05, eta: 3:47:31, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1852, decode.acc_seg: 92.4278, aux.loss_ce: 0.1086, aux.acc_seg: 89.5184, loss: 0.2937 2023-11-13 22:54:47,795 - mmseg - INFO - Iter [104450/160000] lr: 2.083e-05, eta: 3:47:18, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1746, decode.acc_seg: 92.4970, aux.loss_ce: 0.1059, aux.acc_seg: 89.4404, loss: 0.2804 2023-11-13 22:54:59,861 - mmseg - INFO - Iter [104500/160000] lr: 2.081e-05, eta: 3:47:06, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1831, decode.acc_seg: 92.2552, aux.loss_ce: 0.1084, aux.acc_seg: 89.3456, loss: 0.2915 2023-11-13 22:55:11,568 - mmseg - INFO - Iter [104550/160000] lr: 2.079e-05, eta: 3:46:53, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1731, decode.acc_seg: 92.7576, aux.loss_ce: 0.1025, aux.acc_seg: 90.0775, loss: 0.2756 2023-11-13 22:55:23,724 - mmseg - INFO - Iter [104600/160000] lr: 2.078e-05, eta: 3:46:41, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1806, decode.acc_seg: 92.3870, aux.loss_ce: 0.1090, aux.acc_seg: 89.2115, loss: 0.2896 2023-11-13 22:55:35,664 - mmseg - INFO - Iter [104650/160000] lr: 2.076e-05, eta: 3:46:28, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1789, decode.acc_seg: 92.3716, aux.loss_ce: 0.1063, aux.acc_seg: 89.2670, loss: 0.2853 2023-11-13 22:55:49,203 - mmseg - INFO - Iter [104700/160000] lr: 2.074e-05, eta: 3:46:17, time: 0.271, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1792, decode.acc_seg: 92.3136, aux.loss_ce: 0.1046, aux.acc_seg: 89.6870, loss: 0.2838 2023-11-13 22:56:01,087 - mmseg - INFO - Iter [104750/160000] lr: 2.072e-05, eta: 3:46:04, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1862, decode.acc_seg: 92.0034, aux.loss_ce: 0.1151, aux.acc_seg: 88.5831, loss: 0.3013 2023-11-13 22:56:12,715 - mmseg - INFO - Iter [104800/160000] lr: 2.070e-05, eta: 3:45:51, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1785, decode.acc_seg: 92.2157, aux.loss_ce: 0.1077, aux.acc_seg: 89.2487, loss: 0.2862 2023-11-13 22:56:27,373 - mmseg - INFO - Iter [104850/160000] lr: 2.068e-05, eta: 3:45:40, time: 0.293, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1791, decode.acc_seg: 92.5149, aux.loss_ce: 0.1115, aux.acc_seg: 89.0839, loss: 0.2906 2023-11-13 22:56:39,727 - mmseg - INFO - Iter [104900/160000] lr: 2.066e-05, eta: 3:45:28, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1752, decode.acc_seg: 92.4904, aux.loss_ce: 0.1049, aux.acc_seg: 89.5905, loss: 0.2802 2023-11-13 22:56:51,320 - mmseg - INFO - Iter [104950/160000] lr: 2.064e-05, eta: 3:45:16, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1816, decode.acc_seg: 92.4786, aux.loss_ce: 0.1079, aux.acc_seg: 89.6318, loss: 0.2895 2023-11-13 22:57:03,107 - mmseg - INFO - Saving checkpoint at 105000 iterations 2023-11-13 22:57:05,673 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 22:57:05,673 - mmseg - INFO - Iter [105000/160000] lr: 2.063e-05, eta: 3:45:04, time: 0.287, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1755, decode.acc_seg: 92.6538, aux.loss_ce: 0.1019, aux.acc_seg: 90.0476, loss: 0.2774 2023-11-13 22:57:17,443 - mmseg - INFO - Iter [105050/160000] lr: 2.061e-05, eta: 3:44:52, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1793, decode.acc_seg: 92.5031, aux.loss_ce: 0.1057, aux.acc_seg: 89.6630, loss: 0.2850 2023-11-13 22:57:29,931 - mmseg - INFO - Iter [105100/160000] lr: 2.059e-05, eta: 3:44:40, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1650, decode.acc_seg: 92.8581, aux.loss_ce: 0.1010, aux.acc_seg: 89.8194, loss: 0.2661 2023-11-13 22:57:41,579 - mmseg - INFO - Iter [105150/160000] lr: 2.057e-05, eta: 3:44:27, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1758, decode.acc_seg: 92.5558, aux.loss_ce: 0.1084, aux.acc_seg: 89.1660, loss: 0.2842 2023-11-13 22:57:53,341 - mmseg - INFO - Iter [105200/160000] lr: 2.055e-05, eta: 3:44:15, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1854, decode.acc_seg: 92.3943, aux.loss_ce: 0.1110, aux.acc_seg: 89.3989, loss: 0.2964 2023-11-13 22:58:04,969 - mmseg - INFO - Iter [105250/160000] lr: 2.053e-05, eta: 3:44:02, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1823, decode.acc_seg: 92.0817, aux.loss_ce: 0.1076, aux.acc_seg: 89.1709, loss: 0.2899 2023-11-13 22:58:18,038 - mmseg - INFO - Iter [105300/160000] lr: 2.051e-05, eta: 3:43:50, time: 0.261, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1826, decode.acc_seg: 92.4168, aux.loss_ce: 0.1083, aux.acc_seg: 89.3542, loss: 0.2910 2023-11-13 22:58:31,008 - mmseg - INFO - Iter [105350/160000] lr: 2.049e-05, eta: 3:43:38, time: 0.259, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1820, decode.acc_seg: 92.4606, aux.loss_ce: 0.1070, aux.acc_seg: 89.4365, loss: 0.2891 2023-11-13 22:58:42,611 - mmseg - INFO - Iter [105400/160000] lr: 2.048e-05, eta: 3:43:25, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1848, decode.acc_seg: 92.3107, aux.loss_ce: 0.1094, aux.acc_seg: 89.4398, loss: 0.2942 2023-11-13 22:58:54,205 - mmseg - INFO - Iter [105450/160000] lr: 2.046e-05, eta: 3:43:13, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1798, decode.acc_seg: 92.3538, aux.loss_ce: 0.1078, aux.acc_seg: 89.2944, loss: 0.2876 2023-11-13 22:59:05,819 - mmseg - INFO - Iter [105500/160000] lr: 2.044e-05, eta: 3:43:00, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1795, decode.acc_seg: 92.5740, aux.loss_ce: 0.1090, aux.acc_seg: 89.5655, loss: 0.2885 2023-11-13 22:59:17,426 - mmseg - INFO - Iter [105550/160000] lr: 2.042e-05, eta: 3:42:48, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1856, decode.acc_seg: 91.9093, aux.loss_ce: 0.1113, aux.acc_seg: 88.9889, loss: 0.2969 2023-11-13 22:59:29,553 - mmseg - INFO - Iter [105600/160000] lr: 2.040e-05, eta: 3:42:35, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1939, decode.acc_seg: 91.5946, aux.loss_ce: 0.1126, aux.acc_seg: 88.7817, loss: 0.3065 2023-11-13 22:59:41,644 - mmseg - INFO - Iter [105650/160000] lr: 2.038e-05, eta: 3:42:23, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1896, decode.acc_seg: 91.9723, aux.loss_ce: 0.1124, aux.acc_seg: 89.1331, loss: 0.3020 2023-11-13 22:59:54,057 - mmseg - INFO - Iter [105700/160000] lr: 2.036e-05, eta: 3:42:11, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1810, decode.acc_seg: 92.1707, aux.loss_ce: 0.1088, aux.acc_seg: 89.2194, loss: 0.2898 2023-11-13 23:00:05,858 - mmseg - INFO - Iter [105750/160000] lr: 2.034e-05, eta: 3:41:58, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1876, decode.acc_seg: 92.1185, aux.loss_ce: 0.1085, aux.acc_seg: 89.1006, loss: 0.2961 2023-11-13 23:00:18,801 - mmseg - INFO - Iter [105800/160000] lr: 2.033e-05, eta: 3:41:46, time: 0.259, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1874, decode.acc_seg: 91.9711, aux.loss_ce: 0.1122, aux.acc_seg: 89.0023, loss: 0.2995 2023-11-13 23:00:30,402 - mmseg - INFO - Iter [105850/160000] lr: 2.031e-05, eta: 3:41:34, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1841, decode.acc_seg: 92.1616, aux.loss_ce: 0.1151, aux.acc_seg: 88.8459, loss: 0.2993 2023-11-13 23:00:42,015 - mmseg - INFO - Iter [105900/160000] lr: 2.029e-05, eta: 3:41:21, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1841, decode.acc_seg: 92.2825, aux.loss_ce: 0.1106, aux.acc_seg: 89.2796, loss: 0.2947 2023-11-13 23:00:53,901 - mmseg - INFO - Iter [105950/160000] lr: 2.027e-05, eta: 3:41:09, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1807, decode.acc_seg: 92.1976, aux.loss_ce: 0.1081, aux.acc_seg: 89.0562, loss: 0.2888 2023-11-13 23:01:05,517 - mmseg - INFO - Saving checkpoint at 106000 iterations 2023-11-13 23:01:08,252 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:01:08,252 - mmseg - INFO - Iter [106000/160000] lr: 2.025e-05, eta: 3:40:57, time: 0.287, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1703, decode.acc_seg: 92.6749, aux.loss_ce: 0.0995, aux.acc_seg: 89.9306, loss: 0.2698 2023-11-13 23:01:20,601 - mmseg - INFO - Iter [106050/160000] lr: 2.023e-05, eta: 3:40:45, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1746, decode.acc_seg: 92.7126, aux.loss_ce: 0.1078, aux.acc_seg: 89.5848, loss: 0.2824 2023-11-13 23:01:34,759 - mmseg - INFO - Iter [106100/160000] lr: 2.021e-05, eta: 3:40:34, time: 0.283, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1763, decode.acc_seg: 92.6383, aux.loss_ce: 0.1055, aux.acc_seg: 89.6993, loss: 0.2818 2023-11-13 23:01:47,719 - mmseg - INFO - Iter [106150/160000] lr: 2.019e-05, eta: 3:40:22, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1781, decode.acc_seg: 92.3818, aux.loss_ce: 0.1069, aux.acc_seg: 89.4298, loss: 0.2850 2023-11-13 23:01:59,435 - mmseg - INFO - Iter [106200/160000] lr: 2.018e-05, eta: 3:40:09, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1860, decode.acc_seg: 92.1383, aux.loss_ce: 0.1116, aux.acc_seg: 88.9760, loss: 0.2977 2023-11-13 23:02:12,092 - mmseg - INFO - Iter [106250/160000] lr: 2.016e-05, eta: 3:39:57, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1894, decode.acc_seg: 92.0917, aux.loss_ce: 0.1113, aux.acc_seg: 89.1176, loss: 0.3007 2023-11-13 23:02:23,825 - mmseg - INFO - Iter [106300/160000] lr: 2.014e-05, eta: 3:39:45, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1738, decode.acc_seg: 92.5997, aux.loss_ce: 0.1081, aux.acc_seg: 89.4017, loss: 0.2819 2023-11-13 23:02:36,083 - mmseg - INFO - Iter [106350/160000] lr: 2.012e-05, eta: 3:39:32, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1785, decode.acc_seg: 92.3708, aux.loss_ce: 0.1050, aux.acc_seg: 89.3935, loss: 0.2835 2023-11-13 23:02:47,984 - mmseg - INFO - Iter [106400/160000] lr: 2.010e-05, eta: 3:39:20, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1843, decode.acc_seg: 92.1352, aux.loss_ce: 0.1100, aux.acc_seg: 89.1674, loss: 0.2943 2023-11-13 23:02:59,614 - mmseg - INFO - Iter [106450/160000] lr: 2.008e-05, eta: 3:39:07, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1834, decode.acc_seg: 92.2646, aux.loss_ce: 0.1091, aux.acc_seg: 89.3131, loss: 0.2925 2023-11-13 23:03:11,249 - mmseg - INFO - Iter [106500/160000] lr: 2.006e-05, eta: 3:38:55, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1772, decode.acc_seg: 92.3904, aux.loss_ce: 0.1078, aux.acc_seg: 89.2182, loss: 0.2850 2023-11-13 23:03:23,877 - mmseg - INFO - Iter [106550/160000] lr: 2.004e-05, eta: 3:38:43, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1885, decode.acc_seg: 92.0195, aux.loss_ce: 0.1078, aux.acc_seg: 89.1304, loss: 0.2963 2023-11-13 23:03:35,862 - mmseg - INFO - Iter [106600/160000] lr: 2.003e-05, eta: 3:38:30, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1771, decode.acc_seg: 92.5643, aux.loss_ce: 0.1044, aux.acc_seg: 89.6857, loss: 0.2816 2023-11-13 23:03:47,599 - mmseg - INFO - Iter [106650/160000] lr: 2.001e-05, eta: 3:38:18, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1859, decode.acc_seg: 92.1717, aux.loss_ce: 0.1120, aux.acc_seg: 89.1500, loss: 0.2979 2023-11-13 23:03:59,673 - mmseg - INFO - Iter [106700/160000] lr: 1.999e-05, eta: 3:38:05, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1791, decode.acc_seg: 92.5187, aux.loss_ce: 0.1126, aux.acc_seg: 88.9915, loss: 0.2917 2023-11-13 23:04:11,657 - mmseg - INFO - Iter [106750/160000] lr: 1.997e-05, eta: 3:37:53, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1714, decode.acc_seg: 92.6198, aux.loss_ce: 0.1053, aux.acc_seg: 89.3761, loss: 0.2768 2023-11-13 23:04:23,937 - mmseg - INFO - Iter [106800/160000] lr: 1.995e-05, eta: 3:37:41, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1719, decode.acc_seg: 92.6781, aux.loss_ce: 0.1004, aux.acc_seg: 89.9199, loss: 0.2723 2023-11-13 23:04:35,649 - mmseg - INFO - Iter [106850/160000] lr: 1.993e-05, eta: 3:37:28, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1870, decode.acc_seg: 92.2535, aux.loss_ce: 0.1081, aux.acc_seg: 89.5730, loss: 0.2951 2023-11-13 23:04:47,317 - mmseg - INFO - Iter [106900/160000] lr: 1.991e-05, eta: 3:37:15, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1855, decode.acc_seg: 92.3352, aux.loss_ce: 0.1086, aux.acc_seg: 89.6500, loss: 0.2941 2023-11-13 23:04:58,970 - mmseg - INFO - Iter [106950/160000] lr: 1.989e-05, eta: 3:37:03, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1816, decode.acc_seg: 92.2170, aux.loss_ce: 0.1043, aux.acc_seg: 89.6109, loss: 0.2859 2023-11-13 23:05:11,486 - mmseg - INFO - Saving checkpoint at 107000 iterations 2023-11-13 23:05:14,202 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:05:14,202 - mmseg - INFO - Iter [107000/160000] lr: 1.988e-05, eta: 3:36:52, time: 0.305, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1774, decode.acc_seg: 92.4115, aux.loss_ce: 0.1053, aux.acc_seg: 89.5892, loss: 0.2826 2023-11-13 23:05:25,884 - mmseg - INFO - Iter [107050/160000] lr: 1.986e-05, eta: 3:36:39, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1845, decode.acc_seg: 92.2864, aux.loss_ce: 0.1077, aux.acc_seg: 89.4002, loss: 0.2922 2023-11-13 23:05:38,079 - mmseg - INFO - Iter [107100/160000] lr: 1.984e-05, eta: 3:36:27, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1789, decode.acc_seg: 92.4081, aux.loss_ce: 0.1063, aux.acc_seg: 89.5456, loss: 0.2852 2023-11-13 23:05:49,684 - mmseg - INFO - Iter [107150/160000] lr: 1.982e-05, eta: 3:36:15, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1939, decode.acc_seg: 91.9443, aux.loss_ce: 0.1169, aux.acc_seg: 88.8666, loss: 0.3108 2023-11-13 23:06:01,474 - mmseg - INFO - Iter [107200/160000] lr: 1.980e-05, eta: 3:36:02, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1719, decode.acc_seg: 92.5548, aux.loss_ce: 0.1043, aux.acc_seg: 89.5017, loss: 0.2762 2023-11-13 23:06:13,097 - mmseg - INFO - Iter [107250/160000] lr: 1.978e-05, eta: 3:35:49, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1718, decode.acc_seg: 92.5140, aux.loss_ce: 0.1033, aux.acc_seg: 89.6505, loss: 0.2751 2023-11-13 23:06:25,302 - mmseg - INFO - Iter [107300/160000] lr: 1.976e-05, eta: 3:35:37, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1942, decode.acc_seg: 91.9328, aux.loss_ce: 0.1162, aux.acc_seg: 88.7372, loss: 0.3105 2023-11-13 23:06:37,439 - mmseg - INFO - Iter [107350/160000] lr: 1.974e-05, eta: 3:35:25, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1795, decode.acc_seg: 92.3055, aux.loss_ce: 0.1072, aux.acc_seg: 89.3665, loss: 0.2868 2023-11-13 23:06:51,378 - mmseg - INFO - Iter [107400/160000] lr: 1.973e-05, eta: 3:35:13, time: 0.279, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1886, decode.acc_seg: 91.9535, aux.loss_ce: 0.1083, aux.acc_seg: 89.2088, loss: 0.2969 2023-11-13 23:07:03,180 - mmseg - INFO - Iter [107450/160000] lr: 1.971e-05, eta: 3:35:01, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1743, decode.acc_seg: 92.4755, aux.loss_ce: 0.1024, aux.acc_seg: 89.5701, loss: 0.2767 2023-11-13 23:07:16,384 - mmseg - INFO - Iter [107500/160000] lr: 1.969e-05, eta: 3:34:49, time: 0.264, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1853, decode.acc_seg: 92.0382, aux.loss_ce: 0.1082, aux.acc_seg: 89.1513, loss: 0.2935 2023-11-13 23:07:28,158 - mmseg - INFO - Iter [107550/160000] lr: 1.967e-05, eta: 3:34:36, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1726, decode.acc_seg: 92.7108, aux.loss_ce: 0.1042, aux.acc_seg: 89.6923, loss: 0.2768 2023-11-13 23:07:39,942 - mmseg - INFO - Iter [107600/160000] lr: 1.965e-05, eta: 3:34:24, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1808, decode.acc_seg: 92.5145, aux.loss_ce: 0.1078, aux.acc_seg: 89.5351, loss: 0.2886 2023-11-13 23:07:51,975 - mmseg - INFO - Iter [107650/160000] lr: 1.963e-05, eta: 3:34:12, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1735, decode.acc_seg: 92.8121, aux.loss_ce: 0.1054, aux.acc_seg: 89.7590, loss: 0.2789 2023-11-13 23:08:03,624 - mmseg - INFO - Iter [107700/160000] lr: 1.961e-05, eta: 3:33:59, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1743, decode.acc_seg: 92.6821, aux.loss_ce: 0.1055, aux.acc_seg: 89.6659, loss: 0.2798 2023-11-13 23:08:15,397 - mmseg - INFO - Iter [107750/160000] lr: 1.959e-05, eta: 3:33:46, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1680, decode.acc_seg: 92.9000, aux.loss_ce: 0.1009, aux.acc_seg: 89.8333, loss: 0.2689 2023-11-13 23:08:27,497 - mmseg - INFO - Iter [107800/160000] lr: 1.958e-05, eta: 3:33:34, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1842, decode.acc_seg: 92.3115, aux.loss_ce: 0.1094, aux.acc_seg: 89.1125, loss: 0.2936 2023-11-13 23:08:41,390 - mmseg - INFO - Iter [107850/160000] lr: 1.956e-05, eta: 3:33:23, time: 0.279, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1756, decode.acc_seg: 92.5171, aux.loss_ce: 0.1042, aux.acc_seg: 89.6992, loss: 0.2797 2023-11-13 23:08:53,031 - mmseg - INFO - Iter [107900/160000] lr: 1.954e-05, eta: 3:33:10, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1798, decode.acc_seg: 92.3289, aux.loss_ce: 0.1079, aux.acc_seg: 89.2161, loss: 0.2877 2023-11-13 23:09:04,673 - mmseg - INFO - Iter [107950/160000] lr: 1.952e-05, eta: 3:32:57, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1772, decode.acc_seg: 92.4878, aux.loss_ce: 0.1054, aux.acc_seg: 89.2715, loss: 0.2826 2023-11-13 23:09:16,355 - mmseg - INFO - Saving checkpoint at 108000 iterations 2023-11-13 23:09:18,886 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:09:18,887 - mmseg - INFO - Iter [108000/160000] lr: 1.950e-05, eta: 3:32:46, time: 0.284, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1806, decode.acc_seg: 92.3977, aux.loss_ce: 0.1066, aux.acc_seg: 89.3281, loss: 0.2872 2023-11-13 23:09:30,665 - mmseg - INFO - Iter [108050/160000] lr: 1.948e-05, eta: 3:32:34, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1873, decode.acc_seg: 92.3900, aux.loss_ce: 0.1114, aux.acc_seg: 89.4719, loss: 0.2987 2023-11-13 23:09:42,689 - mmseg - INFO - Iter [108100/160000] lr: 1.946e-05, eta: 3:32:21, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1816, decode.acc_seg: 92.1533, aux.loss_ce: 0.1098, aux.acc_seg: 89.1908, loss: 0.2914 2023-11-13 23:09:54,593 - mmseg - INFO - Iter [108150/160000] lr: 1.944e-05, eta: 3:32:09, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1788, decode.acc_seg: 92.3810, aux.loss_ce: 0.1079, aux.acc_seg: 89.4291, loss: 0.2867 2023-11-13 23:10:06,385 - mmseg - INFO - Iter [108200/160000] lr: 1.943e-05, eta: 3:31:56, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1715, decode.acc_seg: 92.7509, aux.loss_ce: 0.1041, aux.acc_seg: 89.7882, loss: 0.2755 2023-11-13 23:10:18,230 - mmseg - INFO - Iter [108250/160000] lr: 1.941e-05, eta: 3:31:44, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1842, decode.acc_seg: 92.3502, aux.loss_ce: 0.1138, aux.acc_seg: 89.0424, loss: 0.2980 2023-11-13 23:10:30,040 - mmseg - INFO - Iter [108300/160000] lr: 1.939e-05, eta: 3:31:31, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1821, decode.acc_seg: 92.4298, aux.loss_ce: 0.1064, aux.acc_seg: 89.5487, loss: 0.2885 2023-11-13 23:10:42,261 - mmseg - INFO - Iter [108350/160000] lr: 1.937e-05, eta: 3:31:19, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1753, decode.acc_seg: 92.6689, aux.loss_ce: 0.1051, aux.acc_seg: 89.6095, loss: 0.2804 2023-11-13 23:10:54,495 - mmseg - INFO - Iter [108400/160000] lr: 1.935e-05, eta: 3:31:07, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1761, decode.acc_seg: 92.4876, aux.loss_ce: 0.1034, aux.acc_seg: 89.7713, loss: 0.2795 2023-11-13 23:11:06,236 - mmseg - INFO - Iter [108450/160000] lr: 1.933e-05, eta: 3:30:54, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1823, decode.acc_seg: 92.3744, aux.loss_ce: 0.1091, aux.acc_seg: 89.4011, loss: 0.2914 2023-11-13 23:11:18,314 - mmseg - INFO - Iter [108500/160000] lr: 1.931e-05, eta: 3:30:42, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1796, decode.acc_seg: 92.6549, aux.loss_ce: 0.1062, aux.acc_seg: 89.6391, loss: 0.2858 2023-11-13 23:11:30,426 - mmseg - INFO - Iter [108550/160000] lr: 1.929e-05, eta: 3:30:29, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1780, decode.acc_seg: 92.4097, aux.loss_ce: 0.1109, aux.acc_seg: 88.9941, loss: 0.2889 2023-11-13 23:11:43,547 - mmseg - INFO - Iter [108600/160000] lr: 1.928e-05, eta: 3:30:18, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1779, decode.acc_seg: 92.5321, aux.loss_ce: 0.1053, aux.acc_seg: 89.7997, loss: 0.2831 2023-11-13 23:11:58,031 - mmseg - INFO - Iter [108650/160000] lr: 1.926e-05, eta: 3:30:06, time: 0.290, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1733, decode.acc_seg: 92.6584, aux.loss_ce: 0.1034, aux.acc_seg: 89.8284, loss: 0.2767 2023-11-13 23:12:09,869 - mmseg - INFO - Iter [108700/160000] lr: 1.924e-05, eta: 3:29:54, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1781, decode.acc_seg: 92.2725, aux.loss_ce: 0.1077, aux.acc_seg: 89.3522, loss: 0.2858 2023-11-13 23:12:21,520 - mmseg - INFO - Iter [108750/160000] lr: 1.922e-05, eta: 3:29:41, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1742, decode.acc_seg: 92.5116, aux.loss_ce: 0.1033, aux.acc_seg: 89.6006, loss: 0.2775 2023-11-13 23:12:33,278 - mmseg - INFO - Iter [108800/160000] lr: 1.920e-05, eta: 3:29:29, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1752, decode.acc_seg: 92.5851, aux.loss_ce: 0.1060, aux.acc_seg: 89.4918, loss: 0.2812 2023-11-13 23:12:45,033 - mmseg - INFO - Iter [108850/160000] lr: 1.918e-05, eta: 3:29:16, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1741, decode.acc_seg: 92.7718, aux.loss_ce: 0.1037, aux.acc_seg: 90.0510, loss: 0.2778 2023-11-13 23:12:56,924 - mmseg - INFO - Iter [108900/160000] lr: 1.916e-05, eta: 3:29:04, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1689, decode.acc_seg: 92.7912, aux.loss_ce: 0.1068, aux.acc_seg: 89.3847, loss: 0.2757 2023-11-13 23:13:08,597 - mmseg - INFO - Iter [108950/160000] lr: 1.914e-05, eta: 3:28:51, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1809, decode.acc_seg: 92.0180, aux.loss_ce: 0.1070, aux.acc_seg: 89.1859, loss: 0.2879 2023-11-13 23:13:20,415 - mmseg - INFO - Saving checkpoint at 109000 iterations 2023-11-13 23:13:22,978 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:13:22,978 - mmseg - INFO - Iter [109000/160000] lr: 1.913e-05, eta: 3:28:40, time: 0.288, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1736, decode.acc_seg: 92.5652, aux.loss_ce: 0.1053, aux.acc_seg: 89.4502, loss: 0.2790 2023-11-13 23:13:34,858 - mmseg - INFO - Iter [109050/160000] lr: 1.911e-05, eta: 3:28:27, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1748, decode.acc_seg: 92.6880, aux.loss_ce: 0.1040, aux.acc_seg: 89.9218, loss: 0.2788 2023-11-13 23:13:46,512 - mmseg - INFO - Iter [109100/160000] lr: 1.909e-05, eta: 3:28:15, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1873, decode.acc_seg: 92.1950, aux.loss_ce: 0.1133, aux.acc_seg: 89.0279, loss: 0.3006 2023-11-13 23:13:59,011 - mmseg - INFO - Iter [109150/160000] lr: 1.907e-05, eta: 3:28:03, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1676, decode.acc_seg: 92.7775, aux.loss_ce: 0.1002, aux.acc_seg: 89.9921, loss: 0.2679 2023-11-13 23:14:10,668 - mmseg - INFO - Iter [109200/160000] lr: 1.905e-05, eta: 3:27:50, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1671, decode.acc_seg: 92.9597, aux.loss_ce: 0.0989, aux.acc_seg: 90.2692, loss: 0.2660 2023-11-13 23:14:22,437 - mmseg - INFO - Iter [109250/160000] lr: 1.903e-05, eta: 3:27:38, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1706, decode.acc_seg: 92.6994, aux.loss_ce: 0.1018, aux.acc_seg: 89.8233, loss: 0.2724 2023-11-13 23:14:34,048 - mmseg - INFO - Iter [109300/160000] lr: 1.901e-05, eta: 3:27:25, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1806, decode.acc_seg: 92.4131, aux.loss_ce: 0.1098, aux.acc_seg: 89.3377, loss: 0.2904 2023-11-13 23:14:45,732 - mmseg - INFO - Iter [109350/160000] lr: 1.899e-05, eta: 3:27:13, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1749, decode.acc_seg: 92.5708, aux.loss_ce: 0.1071, aux.acc_seg: 89.5480, loss: 0.2820 2023-11-13 23:14:57,495 - mmseg - INFO - Iter [109400/160000] lr: 1.898e-05, eta: 3:27:00, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1780, decode.acc_seg: 92.3454, aux.loss_ce: 0.1072, aux.acc_seg: 89.3436, loss: 0.2851 2023-11-13 23:15:09,649 - mmseg - INFO - Iter [109450/160000] lr: 1.896e-05, eta: 3:26:48, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1888, decode.acc_seg: 91.9945, aux.loss_ce: 0.1089, aux.acc_seg: 89.1757, loss: 0.2978 2023-11-13 23:15:21,958 - mmseg - INFO - Iter [109500/160000] lr: 1.894e-05, eta: 3:26:35, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1745, decode.acc_seg: 92.5950, aux.loss_ce: 0.1030, aux.acc_seg: 89.7370, loss: 0.2775 2023-11-13 23:15:33,615 - mmseg - INFO - Iter [109550/160000] lr: 1.892e-05, eta: 3:26:23, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1751, decode.acc_seg: 92.6731, aux.loss_ce: 0.1041, aux.acc_seg: 89.8418, loss: 0.2792 2023-11-13 23:15:45,397 - mmseg - INFO - Iter [109600/160000] lr: 1.890e-05, eta: 3:26:10, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1733, decode.acc_seg: 92.5571, aux.loss_ce: 0.1061, aux.acc_seg: 89.5961, loss: 0.2794 2023-11-13 23:15:57,569 - mmseg - INFO - Iter [109650/160000] lr: 1.888e-05, eta: 3:25:58, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1835, decode.acc_seg: 92.1382, aux.loss_ce: 0.1089, aux.acc_seg: 89.0706, loss: 0.2924 2023-11-13 23:16:09,232 - mmseg - INFO - Iter [109700/160000] lr: 1.886e-05, eta: 3:25:45, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1757, decode.acc_seg: 92.2697, aux.loss_ce: 0.1057, aux.acc_seg: 89.1628, loss: 0.2814 2023-11-13 23:16:21,737 - mmseg - INFO - Iter [109750/160000] lr: 1.884e-05, eta: 3:25:33, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1838, decode.acc_seg: 92.4423, aux.loss_ce: 0.1103, aux.acc_seg: 89.3814, loss: 0.2940 2023-11-13 23:16:33,669 - mmseg - INFO - Iter [109800/160000] lr: 1.883e-05, eta: 3:25:21, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1878, decode.acc_seg: 92.1440, aux.loss_ce: 0.1103, aux.acc_seg: 89.1027, loss: 0.2981 2023-11-13 23:16:45,575 - mmseg - INFO - Iter [109850/160000] lr: 1.881e-05, eta: 3:25:08, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1834, decode.acc_seg: 92.4960, aux.loss_ce: 0.1076, aux.acc_seg: 89.6086, loss: 0.2910 2023-11-13 23:16:59,649 - mmseg - INFO - Iter [109900/160000] lr: 1.879e-05, eta: 3:24:57, time: 0.281, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1771, decode.acc_seg: 92.7102, aux.loss_ce: 0.1064, aux.acc_seg: 89.6638, loss: 0.2836 2023-11-13 23:17:11,286 - mmseg - INFO - Iter [109950/160000] lr: 1.877e-05, eta: 3:24:44, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1705, decode.acc_seg: 92.7184, aux.loss_ce: 0.1001, aux.acc_seg: 89.9400, loss: 0.2706 2023-11-13 23:17:23,157 - mmseg - INFO - Saving checkpoint at 110000 iterations 2023-11-13 23:17:25,761 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:17:25,762 - mmseg - INFO - Iter [110000/160000] lr: 1.875e-05, eta: 3:24:33, time: 0.290, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1766, decode.acc_seg: 92.4018, aux.loss_ce: 0.1075, aux.acc_seg: 89.3218, loss: 0.2840 2023-11-13 23:17:37,421 - mmseg - INFO - Iter [110050/160000] lr: 1.873e-05, eta: 3:24:21, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1674, decode.acc_seg: 92.9360, aux.loss_ce: 0.1014, aux.acc_seg: 90.2123, loss: 0.2688 2023-11-13 23:17:49,028 - mmseg - INFO - Iter [110100/160000] lr: 1.871e-05, eta: 3:24:08, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1728, decode.acc_seg: 92.6155, aux.loss_ce: 0.1032, aux.acc_seg: 89.9070, loss: 0.2760 2023-11-13 23:18:00,646 - mmseg - INFO - Iter [110150/160000] lr: 1.869e-05, eta: 3:23:55, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1755, decode.acc_seg: 92.5468, aux.loss_ce: 0.1059, aux.acc_seg: 89.5147, loss: 0.2814 2023-11-13 23:18:12,291 - mmseg - INFO - Iter [110200/160000] lr: 1.868e-05, eta: 3:23:43, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1728, decode.acc_seg: 92.6205, aux.loss_ce: 0.1070, aux.acc_seg: 89.5457, loss: 0.2798 2023-11-13 23:18:23,999 - mmseg - INFO - Iter [110250/160000] lr: 1.866e-05, eta: 3:23:30, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1767, decode.acc_seg: 92.4692, aux.loss_ce: 0.1067, aux.acc_seg: 89.4607, loss: 0.2835 2023-11-13 23:18:35,702 - mmseg - INFO - Iter [110300/160000] lr: 1.864e-05, eta: 3:23:18, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1696, decode.acc_seg: 92.7429, aux.loss_ce: 0.1004, aux.acc_seg: 90.0847, loss: 0.2700 2023-11-13 23:18:47,403 - mmseg - INFO - Iter [110350/160000] lr: 1.862e-05, eta: 3:23:05, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1608, decode.acc_seg: 93.1556, aux.loss_ce: 0.0978, aux.acc_seg: 90.3774, loss: 0.2586 2023-11-13 23:18:59,074 - mmseg - INFO - Iter [110400/160000] lr: 1.860e-05, eta: 3:22:53, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1802, decode.acc_seg: 92.5190, aux.loss_ce: 0.1071, aux.acc_seg: 89.4398, loss: 0.2873 2023-11-13 23:19:12,468 - mmseg - INFO - Iter [110450/160000] lr: 1.858e-05, eta: 3:22:41, time: 0.268, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1627, decode.acc_seg: 92.9778, aux.loss_ce: 0.0992, aux.acc_seg: 89.9597, loss: 0.2619 2023-11-13 23:19:24,505 - mmseg - INFO - Iter [110500/160000] lr: 1.856e-05, eta: 3:22:29, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1737, decode.acc_seg: 92.5518, aux.loss_ce: 0.1033, aux.acc_seg: 89.5093, loss: 0.2770 2023-11-13 23:19:36,225 - mmseg - INFO - Iter [110550/160000] lr: 1.854e-05, eta: 3:22:16, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1911, decode.acc_seg: 92.2093, aux.loss_ce: 0.1097, aux.acc_seg: 89.2676, loss: 0.3008 2023-11-13 23:19:48,655 - mmseg - INFO - Iter [110600/160000] lr: 1.853e-05, eta: 3:22:04, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1874, decode.acc_seg: 92.1683, aux.loss_ce: 0.1087, aux.acc_seg: 89.3287, loss: 0.2961 2023-11-13 23:20:00,597 - mmseg - INFO - Iter [110650/160000] lr: 1.851e-05, eta: 3:21:52, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1819, decode.acc_seg: 92.2366, aux.loss_ce: 0.1091, aux.acc_seg: 89.1692, loss: 0.2909 2023-11-13 23:20:13,302 - mmseg - INFO - Iter [110700/160000] lr: 1.849e-05, eta: 3:21:39, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1784, decode.acc_seg: 92.3754, aux.loss_ce: 0.1087, aux.acc_seg: 89.0450, loss: 0.2871 2023-11-13 23:20:24,923 - mmseg - INFO - Iter [110750/160000] lr: 1.847e-05, eta: 3:21:27, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1847, decode.acc_seg: 92.2326, aux.loss_ce: 0.1120, aux.acc_seg: 89.0026, loss: 0.2966 2023-11-13 23:20:37,202 - mmseg - INFO - Iter [110800/160000] lr: 1.845e-05, eta: 3:21:15, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1794, decode.acc_seg: 92.3081, aux.loss_ce: 0.1078, aux.acc_seg: 89.3498, loss: 0.2872 2023-11-13 23:20:48,834 - mmseg - INFO - Iter [110850/160000] lr: 1.843e-05, eta: 3:21:02, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1786, decode.acc_seg: 92.4193, aux.loss_ce: 0.1099, aux.acc_seg: 89.3237, loss: 0.2885 2023-11-13 23:21:02,089 - mmseg - INFO - Iter [110900/160000] lr: 1.841e-05, eta: 3:20:50, time: 0.265, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1742, decode.acc_seg: 92.6918, aux.loss_ce: 0.1024, aux.acc_seg: 90.0756, loss: 0.2766 2023-11-13 23:21:13,708 - mmseg - INFO - Iter [110950/160000] lr: 1.839e-05, eta: 3:20:38, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1787, decode.acc_seg: 92.4537, aux.loss_ce: 0.1106, aux.acc_seg: 89.2830, loss: 0.2893 2023-11-13 23:21:25,724 - mmseg - INFO - Saving checkpoint at 111000 iterations 2023-11-13 23:21:28,243 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:21:28,244 - mmseg - INFO - Iter [111000/160000] lr: 1.838e-05, eta: 3:20:26, time: 0.291, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1798, decode.acc_seg: 92.4876, aux.loss_ce: 0.1082, aux.acc_seg: 89.7394, loss: 0.2880 2023-11-13 23:21:40,637 - mmseg - INFO - Iter [111050/160000] lr: 1.836e-05, eta: 3:20:14, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1844, decode.acc_seg: 92.0889, aux.loss_ce: 0.1101, aux.acc_seg: 88.9100, loss: 0.2945 2023-11-13 23:21:52,421 - mmseg - INFO - Iter [111100/160000] lr: 1.834e-05, eta: 3:20:02, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1848, decode.acc_seg: 92.2342, aux.loss_ce: 0.1087, aux.acc_seg: 89.3011, loss: 0.2935 2023-11-13 23:22:07,183 - mmseg - INFO - Iter [111150/160000] lr: 1.832e-05, eta: 3:19:50, time: 0.296, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1852, decode.acc_seg: 92.2700, aux.loss_ce: 0.1134, aux.acc_seg: 89.0577, loss: 0.2987 2023-11-13 23:22:18,928 - mmseg - INFO - Iter [111200/160000] lr: 1.830e-05, eta: 3:19:38, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1861, decode.acc_seg: 92.4263, aux.loss_ce: 0.1130, aux.acc_seg: 89.3439, loss: 0.2991 2023-11-13 23:22:30,660 - mmseg - INFO - Iter [111250/160000] lr: 1.828e-05, eta: 3:19:25, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1732, decode.acc_seg: 92.4597, aux.loss_ce: 0.1049, aux.acc_seg: 89.3701, loss: 0.2781 2023-11-13 23:22:42,329 - mmseg - INFO - Iter [111300/160000] lr: 1.826e-05, eta: 3:19:13, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1790, decode.acc_seg: 92.4929, aux.loss_ce: 0.1067, aux.acc_seg: 89.4476, loss: 0.2857 2023-11-13 23:22:54,427 - mmseg - INFO - Iter [111350/160000] lr: 1.824e-05, eta: 3:19:01, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1697, decode.acc_seg: 92.8593, aux.loss_ce: 0.1007, aux.acc_seg: 90.1358, loss: 0.2704 2023-11-13 23:23:06,236 - mmseg - INFO - Iter [111400/160000] lr: 1.823e-05, eta: 3:18:48, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1722, decode.acc_seg: 92.6979, aux.loss_ce: 0.1043, aux.acc_seg: 89.7182, loss: 0.2765 2023-11-13 23:23:17,828 - mmseg - INFO - Iter [111450/160000] lr: 1.821e-05, eta: 3:18:36, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1757, decode.acc_seg: 92.6259, aux.loss_ce: 0.1052, aux.acc_seg: 89.8376, loss: 0.2809 2023-11-13 23:23:29,543 - mmseg - INFO - Iter [111500/160000] lr: 1.819e-05, eta: 3:18:23, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1705, decode.acc_seg: 92.7450, aux.loss_ce: 0.1047, aux.acc_seg: 89.5989, loss: 0.2752 2023-11-13 23:23:42,190 - mmseg - INFO - Iter [111550/160000] lr: 1.817e-05, eta: 3:18:11, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1743, decode.acc_seg: 92.7135, aux.loss_ce: 0.1065, aux.acc_seg: 89.4591, loss: 0.2808 2023-11-13 23:23:54,053 - mmseg - INFO - Iter [111600/160000] lr: 1.815e-05, eta: 3:17:58, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1783, decode.acc_seg: 92.3716, aux.loss_ce: 0.1058, aux.acc_seg: 89.5740, loss: 0.2841 2023-11-13 23:24:06,631 - mmseg - INFO - Iter [111650/160000] lr: 1.813e-05, eta: 3:17:46, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1815, decode.acc_seg: 92.5199, aux.loss_ce: 0.1083, aux.acc_seg: 89.5244, loss: 0.2898 2023-11-13 23:24:19,055 - mmseg - INFO - Iter [111700/160000] lr: 1.811e-05, eta: 3:17:34, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1779, decode.acc_seg: 92.1520, aux.loss_ce: 0.1076, aux.acc_seg: 89.1090, loss: 0.2856 2023-11-13 23:24:30,874 - mmseg - INFO - Iter [111750/160000] lr: 1.809e-05, eta: 3:17:22, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1702, decode.acc_seg: 92.6164, aux.loss_ce: 0.1029, aux.acc_seg: 89.6838, loss: 0.2731 2023-11-13 23:24:42,527 - mmseg - INFO - Iter [111800/160000] lr: 1.808e-05, eta: 3:17:09, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1709, decode.acc_seg: 92.7171, aux.loss_ce: 0.1034, aux.acc_seg: 89.6007, loss: 0.2743 2023-11-13 23:24:54,227 - mmseg - INFO - Iter [111850/160000] lr: 1.806e-05, eta: 3:16:57, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1775, decode.acc_seg: 92.5559, aux.loss_ce: 0.1050, aux.acc_seg: 89.5863, loss: 0.2825 2023-11-13 23:25:05,805 - mmseg - INFO - Iter [111900/160000] lr: 1.804e-05, eta: 3:16:44, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1754, decode.acc_seg: 92.5388, aux.loss_ce: 0.1060, aux.acc_seg: 89.5710, loss: 0.2814 2023-11-13 23:25:17,862 - mmseg - INFO - Iter [111950/160000] lr: 1.802e-05, eta: 3:16:32, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1738, decode.acc_seg: 92.6620, aux.loss_ce: 0.1049, aux.acc_seg: 89.8082, loss: 0.2786 2023-11-13 23:25:29,506 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-11-13 23:25:32,184 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:25:32,185 - mmseg - INFO - Iter [112000/160000] lr: 1.800e-05, eta: 3:16:20, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1817, decode.acc_seg: 92.3790, aux.loss_ce: 0.1101, aux.acc_seg: 89.2614, loss: 0.2918 2023-11-13 23:25:46,162 - mmseg - INFO - per class results: 2023-11-13 23:25:46,167 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.76 | 88.41 | | building | 83.18 | 92.86 | | sky | 94.59 | 97.65 | | floor | 82.12 | 91.31 | | tree | 73.95 | 88.57 | | ceiling | 85.21 | 93.06 | | road | 84.59 | 92.14 | | bed | 90.4 | 96.19 | | windowpane | 63.16 | 80.9 | | grass | 67.06 | 81.35 | | cabinet | 61.81 | 73.98 | | sidewalk | 66.72 | 80.43 | | person | 82.05 | 93.41 | | earth | 36.02 | 48.15 | | door | 53.76 | 65.73 | | table | 62.44 | 78.89 | | mountain | 58.29 | 72.88 | | plant | 50.25 | 62.28 | | curtain | 74.39 | 85.11 | | chair | 59.69 | 73.11 | | car | 84.85 | 92.76 | | water | 56.21 | 74.92 | | painting | 69.93 | 87.32 | | sofa | 67.21 | 79.9 | | shelf | 42.64 | 60.92 | | house | 48.79 | 63.18 | | sea | 61.84 | 75.12 | | mirror | 73.57 | 79.8 | | rug | 60.0 | 70.63 | | field | 28.85 | 44.92 | | armchair | 44.97 | 67.09 | | seat | 63.36 | 81.54 | | fence | 46.87 | 63.43 | | desk | 48.79 | 68.2 | | rock | 44.74 | 73.15 | | wardrobe | 52.46 | 74.47 | | lamp | 65.5 | 78.33 | | bathtub | 77.8 | 82.71 | | railing | 37.81 | 53.48 | | cushion | 61.22 | 73.42 | | base | 23.16 | 35.86 | | box | 29.93 | 38.8 | | column | 50.58 | 64.02 | | signboard | 37.56 | 48.26 | | chest of drawers | 44.12 | 59.42 | | counter | 31.55 | 42.79 | | sand | 39.76 | 60.57 | | sink | 72.5 | 80.55 | | skyscraper | 43.94 | 55.64 | | fireplace | 75.34 | 88.0 | | refrigerator | 78.75 | 86.38 | | grandstand | 51.35 | 75.59 | | path | 26.71 | 40.34 | | stairs | 32.67 | 39.36 | | runway | 63.11 | 85.34 | | case | 37.91 | 50.65 | | pool table | 93.79 | 97.2 | | pillow | 60.68 | 71.08 | | screen door | 75.75 | 82.55 | | stairway | 29.57 | 37.7 | | river | 6.36 | 12.72 | | bridge | 73.26 | 85.38 | | bookcase | 37.84 | 57.01 | | blind | 41.82 | 48.43 | | coffee table | 60.85 | 80.75 | | toilet | 85.69 | 91.67 | | flower | 41.91 | 57.25 | | book | 48.91 | 74.78 | | hill | 8.11 | 12.75 | | bench | 46.82 | 54.08 | | countertop | 53.62 | 66.68 | | stove | 80.05 | 86.36 | | palm | 52.84 | 69.54 | | kitchen island | 33.06 | 59.28 | | computer | 72.08 | 79.71 | | swivel chair | 44.69 | 60.3 | | boat | 43.42 | 52.18 | | bar | 43.09 | 59.22 | | arcade machine | 77.39 | 81.75 | | hovel | 40.44 | 43.89 | | bus | 89.47 | 97.56 | | towel | 64.34 | 75.77 | | light | 56.22 | 67.38 | | truck | 43.44 | 52.7 | | tower | 28.26 | 43.15 | | chandelier | 69.68 | 79.73 | | awning | 30.57 | 38.74 | | streetlight | 28.69 | 35.83 | | booth | 48.38 | 49.3 | | television receiver | 70.96 | 83.96 | | airplane | 59.69 | 65.35 | | dirt track | 15.05 | 26.61 | | apparel | 45.59 | 57.67 | | pole | 25.57 | 39.71 | | land | 4.93 | 7.04 | | bannister | 17.38 | 21.46 | | escalator | 33.12 | 43.68 | | ottoman | 51.19 | 67.02 | | bottle | 36.48 | 47.18 | | buffet | 37.44 | 46.22 | | poster | 33.71 | 41.89 | | stage | 21.75 | 29.91 | | van | 43.21 | 60.12 | | ship | 10.5 | 15.98 | | fountain | 19.87 | 21.03 | | conveyer belt | 56.17 | 77.28 | | canopy | 17.69 | 27.18 | | washer | 73.46 | 75.84 | | plaything | 24.42 | 33.77 | | swimming pool | 57.48 | 79.15 | | stool | 42.1 | 57.27 | | barrel | 54.66 | 78.94 | | basket | 34.8 | 45.06 | | waterfall | 46.83 | 56.79 | | tent | 94.14 | 98.54 | | bag | 19.74 | 23.67 | | minibike | 66.96 | 83.62 | | cradle | 84.56 | 96.62 | | oven | 57.02 | 67.74 | | ball | 41.41 | 44.69 | | food | 55.23 | 64.68 | | step | 13.16 | 16.2 | | tank | 56.47 | 61.85 | | trade name | 32.93 | 40.89 | | microwave | 83.73 | 94.09 | | pot | 45.82 | 53.85 | | animal | 67.12 | 70.42 | | bicycle | 54.34 | 75.63 | | lake | 40.42 | 48.28 | | dishwasher | 76.6 | 82.26 | | screen | 52.05 | 75.11 | | blanket | 20.35 | 23.4 | | sculpture | 62.13 | 81.19 | | hood | 63.44 | 69.57 | | sconce | 49.53 | 59.71 | | vase | 44.1 | 58.42 | | traffic light | 35.69 | 59.51 | | tray | 7.78 | 15.24 | | ashcan | 46.47 | 59.64 | | fan | 65.4 | 75.12 | | pier | 32.64 | 50.41 | | crt screen | 5.91 | 17.41 | | plate | 56.26 | 68.43 | | monitor | 7.19 | 8.84 | | bulletin board | 45.83 | 60.7 | | shower | 1.95 | 5.83 | | radiator | 59.07 | 68.42 | | glass | 14.69 | 16.4 | | clock | 41.09 | 51.21 | | flag | 44.49 | 47.86 | +---------------------+-------+-------+ 2023-11-13 23:25:46,167 - mmseg - INFO - Summary: 2023-11-13 23:25:46,167 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 83.67 | 50.5 | 61.98 | +-------+------+-------+ 2023-11-13 23:25:46,180 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/upernet_flash_internimage_s_512_160k_ade20k/best_mIoU_iter_96000.pth was removed 2023-11-13 23:25:48,659 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. 2023-11-13 23:25:48,660 - mmseg - INFO - Best mIoU is 0.5050 at 112000 iter. 2023-11-13 23:25:48,661 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:25:48,661 - mmseg - INFO - Iter(val) [250] aAcc: 0.8367, mIoU: 0.5050, mAcc: 0.6198, IoU.wall: 0.7876, IoU.building: 0.8318, IoU.sky: 0.9459, IoU.floor: 0.8212, IoU.tree: 0.7395, IoU.ceiling: 0.8521, IoU.road: 0.8459, IoU.bed : 0.9040, IoU.windowpane: 0.6316, IoU.grass: 0.6706, IoU.cabinet: 0.6181, IoU.sidewalk: 0.6672, IoU.person: 0.8205, IoU.earth: 0.3602, IoU.door: 0.5376, IoU.table: 0.6244, IoU.mountain: 0.5829, IoU.plant: 0.5025, IoU.curtain: 0.7439, IoU.chair: 0.5969, IoU.car: 0.8485, IoU.water: 0.5621, IoU.painting: 0.6993, IoU.sofa: 0.6721, IoU.shelf: 0.4264, IoU.house: 0.4879, IoU.sea: 0.6184, IoU.mirror: 0.7357, IoU.rug: 0.6000, IoU.field: 0.2885, IoU.armchair: 0.4497, IoU.seat: 0.6336, IoU.fence: 0.4687, IoU.desk: 0.4879, IoU.rock: 0.4474, IoU.wardrobe: 0.5246, IoU.lamp: 0.6550, IoU.bathtub: 0.7780, IoU.railing: 0.3781, IoU.cushion: 0.6122, IoU.base: 0.2316, IoU.box: 0.2993, IoU.column: 0.5058, IoU.signboard: 0.3756, IoU.chest of drawers: 0.4412, IoU.counter: 0.3155, IoU.sand: 0.3976, IoU.sink: 0.7250, IoU.skyscraper: 0.4394, IoU.fireplace: 0.7534, IoU.refrigerator: 0.7875, IoU.grandstand: 0.5135, IoU.path: 0.2671, IoU.stairs: 0.3267, IoU.runway: 0.6311, IoU.case: 0.3791, IoU.pool table: 0.9379, IoU.pillow: 0.6068, IoU.screen door: 0.7575, IoU.stairway: 0.2957, IoU.river: 0.0636, IoU.bridge: 0.7326, IoU.bookcase: 0.3784, IoU.blind: 0.4182, IoU.coffee table: 0.6085, IoU.toilet: 0.8569, IoU.flower: 0.4191, IoU.book: 0.4891, IoU.hill: 0.0811, IoU.bench: 0.4682, IoU.countertop: 0.5362, IoU.stove: 0.8005, IoU.palm: 0.5284, IoU.kitchen island: 0.3306, IoU.computer: 0.7208, IoU.swivel chair: 0.4469, IoU.boat: 0.4342, IoU.bar: 0.4309, IoU.arcade machine: 0.7739, IoU.hovel: 0.4044, IoU.bus: 0.8947, IoU.towel: 0.6434, IoU.light: 0.5622, IoU.truck: 0.4344, IoU.tower: 0.2826, IoU.chandelier: 0.6968, IoU.awning: 0.3057, IoU.streetlight: 0.2869, IoU.booth: 0.4838, IoU.television receiver: 0.7096, IoU.airplane: 0.5969, IoU.dirt track: 0.1505, IoU.apparel: 0.4559, IoU.pole: 0.2557, IoU.land: 0.0493, IoU.bannister: 0.1738, IoU.escalator: 0.3312, IoU.ottoman: 0.5119, IoU.bottle: 0.3648, IoU.buffet: 0.3744, IoU.poster: 0.3371, IoU.stage: 0.2175, IoU.van: 0.4321, IoU.ship: 0.1050, IoU.fountain: 0.1987, IoU.conveyer belt: 0.5617, IoU.canopy: 0.1769, IoU.washer: 0.7346, IoU.plaything: 0.2442, IoU.swimming pool: 0.5748, IoU.stool: 0.4210, IoU.barrel: 0.5466, IoU.basket: 0.3480, IoU.waterfall: 0.4683, IoU.tent: 0.9414, IoU.bag: 0.1974, IoU.minibike: 0.6696, IoU.cradle: 0.8456, IoU.oven: 0.5702, IoU.ball: 0.4141, IoU.food: 0.5523, IoU.step: 0.1316, IoU.tank: 0.5647, IoU.trade name: 0.3293, IoU.microwave: 0.8373, IoU.pot: 0.4582, IoU.animal: 0.6712, IoU.bicycle: 0.5434, IoU.lake: 0.4042, IoU.dishwasher: 0.7660, IoU.screen: 0.5205, IoU.blanket: 0.2035, IoU.sculpture: 0.6213, IoU.hood: 0.6344, IoU.sconce: 0.4953, IoU.vase: 0.4410, IoU.traffic light: 0.3569, IoU.tray: 0.0778, IoU.ashcan: 0.4647, IoU.fan: 0.6540, IoU.pier: 0.3264, IoU.crt screen: 0.0591, IoU.plate: 0.5626, IoU.monitor: 0.0719, IoU.bulletin board: 0.4583, IoU.shower: 0.0195, IoU.radiator: 0.5907, IoU.glass: 0.1469, IoU.clock: 0.4109, IoU.flag: 0.4449, Acc.wall: 0.8841, Acc.building: 0.9286, Acc.sky: 0.9765, Acc.floor: 0.9131, Acc.tree: 0.8857, Acc.ceiling: 0.9306, Acc.road: 0.9214, Acc.bed : 0.9619, Acc.windowpane: 0.8090, Acc.grass: 0.8135, Acc.cabinet: 0.7398, Acc.sidewalk: 0.8043, Acc.person: 0.9341, Acc.earth: 0.4815, Acc.door: 0.6573, Acc.table: 0.7889, Acc.mountain: 0.7288, Acc.plant: 0.6228, Acc.curtain: 0.8511, Acc.chair: 0.7311, Acc.car: 0.9276, Acc.water: 0.7492, Acc.painting: 0.8732, Acc.sofa: 0.7990, Acc.shelf: 0.6092, Acc.house: 0.6318, Acc.sea: 0.7512, Acc.mirror: 0.7980, Acc.rug: 0.7063, Acc.field: 0.4492, Acc.armchair: 0.6709, Acc.seat: 0.8154, Acc.fence: 0.6343, Acc.desk: 0.6820, Acc.rock: 0.7315, Acc.wardrobe: 0.7447, Acc.lamp: 0.7833, Acc.bathtub: 0.8271, Acc.railing: 0.5348, Acc.cushion: 0.7342, Acc.base: 0.3586, Acc.box: 0.3880, Acc.column: 0.6402, Acc.signboard: 0.4826, Acc.chest of drawers: 0.5942, Acc.counter: 0.4279, Acc.sand: 0.6057, Acc.sink: 0.8055, Acc.skyscraper: 0.5564, Acc.fireplace: 0.8800, Acc.refrigerator: 0.8638, Acc.grandstand: 0.7559, Acc.path: 0.4034, Acc.stairs: 0.3936, Acc.runway: 0.8534, Acc.case: 0.5065, Acc.pool table: 0.9720, Acc.pillow: 0.7108, Acc.screen door: 0.8255, Acc.stairway: 0.3770, Acc.river: 0.1272, Acc.bridge: 0.8538, Acc.bookcase: 0.5701, Acc.blind: 0.4843, Acc.coffee table: 0.8075, Acc.toilet: 0.9167, Acc.flower: 0.5725, Acc.book: 0.7478, Acc.hill: 0.1275, Acc.bench: 0.5408, Acc.countertop: 0.6668, Acc.stove: 0.8636, Acc.palm: 0.6954, Acc.kitchen island: 0.5928, Acc.computer: 0.7971, Acc.swivel chair: 0.6030, Acc.boat: 0.5218, Acc.bar: 0.5922, Acc.arcade machine: 0.8175, Acc.hovel: 0.4389, Acc.bus: 0.9756, Acc.towel: 0.7577, Acc.light: 0.6738, Acc.truck: 0.5270, Acc.tower: 0.4315, Acc.chandelier: 0.7973, Acc.awning: 0.3874, Acc.streetlight: 0.3583, Acc.booth: 0.4930, Acc.television receiver: 0.8396, Acc.airplane: 0.6535, Acc.dirt track: 0.2661, Acc.apparel: 0.5767, Acc.pole: 0.3971, Acc.land: 0.0704, Acc.bannister: 0.2146, Acc.escalator: 0.4368, Acc.ottoman: 0.6702, Acc.bottle: 0.4718, Acc.buffet: 0.4622, Acc.poster: 0.4189, Acc.stage: 0.2991, Acc.van: 0.6012, Acc.ship: 0.1598, Acc.fountain: 0.2103, Acc.conveyer belt: 0.7728, Acc.canopy: 0.2718, Acc.washer: 0.7584, Acc.plaything: 0.3377, Acc.swimming pool: 0.7915, Acc.stool: 0.5727, Acc.barrel: 0.7894, Acc.basket: 0.4506, Acc.waterfall: 0.5679, Acc.tent: 0.9854, Acc.bag: 0.2367, Acc.minibike: 0.8362, Acc.cradle: 0.9662, Acc.oven: 0.6774, Acc.ball: 0.4469, Acc.food: 0.6468, Acc.step: 0.1620, Acc.tank: 0.6185, Acc.trade name: 0.4089, Acc.microwave: 0.9409, Acc.pot: 0.5385, Acc.animal: 0.7042, Acc.bicycle: 0.7563, Acc.lake: 0.4828, Acc.dishwasher: 0.8226, Acc.screen: 0.7511, Acc.blanket: 0.2340, Acc.sculpture: 0.8119, Acc.hood: 0.6957, Acc.sconce: 0.5971, Acc.vase: 0.5842, Acc.traffic light: 0.5951, Acc.tray: 0.1524, Acc.ashcan: 0.5964, Acc.fan: 0.7512, Acc.pier: 0.5041, Acc.crt screen: 0.1741, Acc.plate: 0.6843, Acc.monitor: 0.0884, Acc.bulletin board: 0.6070, Acc.shower: 0.0583, Acc.radiator: 0.6842, Acc.glass: 0.1640, Acc.clock: 0.5121, Acc.flag: 0.4786 2023-11-13 23:26:00,691 - mmseg - INFO - Iter [112050/160000] lr: 1.798e-05, eta: 3:16:15, time: 0.570, data_time: 0.335, memory: 5958, decode.loss_ce: 0.1835, decode.acc_seg: 92.3618, aux.loss_ce: 0.1072, aux.acc_seg: 89.4289, loss: 0.2908 2023-11-13 23:26:12,520 - mmseg - INFO - Iter [112100/160000] lr: 1.796e-05, eta: 3:16:02, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1806, decode.acc_seg: 92.2905, aux.loss_ce: 0.1080, aux.acc_seg: 89.3921, loss: 0.2887 2023-11-13 23:26:24,473 - mmseg - INFO - Iter [112150/160000] lr: 1.794e-05, eta: 3:15:50, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1720, decode.acc_seg: 92.7707, aux.loss_ce: 0.1044, aux.acc_seg: 89.9193, loss: 0.2764 2023-11-13 23:26:36,155 - mmseg - INFO - Iter [112200/160000] lr: 1.793e-05, eta: 3:15:38, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1725, decode.acc_seg: 92.5646, aux.loss_ce: 0.1013, aux.acc_seg: 89.8573, loss: 0.2738 2023-11-13 23:26:47,834 - mmseg - INFO - Iter [112250/160000] lr: 1.791e-05, eta: 3:15:25, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1775, decode.acc_seg: 92.6287, aux.loss_ce: 0.1061, aux.acc_seg: 89.8536, loss: 0.2837 2023-11-13 23:26:59,516 - mmseg - INFO - Iter [112300/160000] lr: 1.789e-05, eta: 3:15:12, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1764, decode.acc_seg: 92.4708, aux.loss_ce: 0.1073, aux.acc_seg: 89.4850, loss: 0.2837 2023-11-13 23:27:11,654 - mmseg - INFO - Iter [112350/160000] lr: 1.787e-05, eta: 3:15:00, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1702, decode.acc_seg: 92.6710, aux.loss_ce: 0.1043, aux.acc_seg: 89.5822, loss: 0.2745 2023-11-13 23:27:23,326 - mmseg - INFO - Iter [112400/160000] lr: 1.785e-05, eta: 3:14:48, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1752, decode.acc_seg: 92.5697, aux.loss_ce: 0.1089, aux.acc_seg: 89.2303, loss: 0.2840 2023-11-13 23:27:37,440 - mmseg - INFO - Iter [112450/160000] lr: 1.783e-05, eta: 3:14:36, time: 0.282, data_time: 0.046, memory: 5958, decode.loss_ce: 0.1666, decode.acc_seg: 93.0045, aux.loss_ce: 0.1014, aux.acc_seg: 90.0455, loss: 0.2680 2023-11-13 23:27:49,298 - mmseg - INFO - Iter [112500/160000] lr: 1.781e-05, eta: 3:14:24, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1776, decode.acc_seg: 92.4493, aux.loss_ce: 0.1075, aux.acc_seg: 89.5856, loss: 0.2851 2023-11-13 23:28:02,194 - mmseg - INFO - Iter [112550/160000] lr: 1.779e-05, eta: 3:14:12, time: 0.258, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1786, decode.acc_seg: 92.4434, aux.loss_ce: 0.1079, aux.acc_seg: 89.4470, loss: 0.2865 2023-11-13 23:28:13,868 - mmseg - INFO - Iter [112600/160000] lr: 1.778e-05, eta: 3:13:59, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1736, decode.acc_seg: 92.5677, aux.loss_ce: 0.1024, aux.acc_seg: 89.8018, loss: 0.2759 2023-11-13 23:28:25,628 - mmseg - INFO - Iter [112650/160000] lr: 1.776e-05, eta: 3:13:47, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1696, decode.acc_seg: 92.7629, aux.loss_ce: 0.1023, aux.acc_seg: 90.0296, loss: 0.2719 2023-11-13 23:28:38,339 - mmseg - INFO - Iter [112700/160000] lr: 1.774e-05, eta: 3:13:34, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1791, decode.acc_seg: 92.3999, aux.loss_ce: 0.1086, aux.acc_seg: 89.3478, loss: 0.2876 2023-11-13 23:28:50,744 - mmseg - INFO - Iter [112750/160000] lr: 1.772e-05, eta: 3:13:22, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1758, decode.acc_seg: 92.4582, aux.loss_ce: 0.1067, aux.acc_seg: 89.4942, loss: 0.2825 2023-11-13 23:29:02,380 - mmseg - INFO - Iter [112800/160000] lr: 1.770e-05, eta: 3:13:10, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1756, decode.acc_seg: 92.5564, aux.loss_ce: 0.1074, aux.acc_seg: 89.5297, loss: 0.2830 2023-11-13 23:29:14,022 - mmseg - INFO - Iter [112850/160000] lr: 1.768e-05, eta: 3:12:57, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1729, decode.acc_seg: 92.4989, aux.loss_ce: 0.1078, aux.acc_seg: 89.1123, loss: 0.2807 2023-11-13 23:29:26,377 - mmseg - INFO - Iter [112900/160000] lr: 1.766e-05, eta: 3:12:45, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1693, decode.acc_seg: 92.9776, aux.loss_ce: 0.1018, aux.acc_seg: 90.1005, loss: 0.2711 2023-11-13 23:29:38,059 - mmseg - INFO - Iter [112950/160000] lr: 1.764e-05, eta: 3:12:32, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1748, decode.acc_seg: 92.4775, aux.loss_ce: 0.1058, aux.acc_seg: 89.4199, loss: 0.2806 2023-11-13 23:29:49,900 - mmseg - INFO - Saving checkpoint at 113000 iterations 2023-11-13 23:29:52,527 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:29:52,527 - mmseg - INFO - Iter [113000/160000] lr: 1.763e-05, eta: 3:12:21, time: 0.289, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1744, decode.acc_seg: 92.7034, aux.loss_ce: 0.1086, aux.acc_seg: 89.3454, loss: 0.2830 2023-11-13 23:30:04,141 - mmseg - INFO - Iter [113050/160000] lr: 1.761e-05, eta: 3:12:08, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1754, decode.acc_seg: 92.4770, aux.loss_ce: 0.1032, aux.acc_seg: 89.7395, loss: 0.2786 2023-11-13 23:30:15,985 - mmseg - INFO - Iter [113100/160000] lr: 1.759e-05, eta: 3:11:56, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1791, decode.acc_seg: 92.5931, aux.loss_ce: 0.1056, aux.acc_seg: 89.8790, loss: 0.2847 2023-11-13 23:30:27,598 - mmseg - INFO - Iter [113150/160000] lr: 1.757e-05, eta: 3:11:43, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1804, decode.acc_seg: 92.4863, aux.loss_ce: 0.1099, aux.acc_seg: 89.4512, loss: 0.2903 2023-11-13 23:30:39,387 - mmseg - INFO - Iter [113200/160000] lr: 1.755e-05, eta: 3:11:31, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1647, decode.acc_seg: 92.7928, aux.loss_ce: 0.0981, aux.acc_seg: 89.9837, loss: 0.2628 2023-11-13 23:30:50,951 - mmseg - INFO - Iter [113250/160000] lr: 1.753e-05, eta: 3:11:18, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1733, decode.acc_seg: 92.7148, aux.loss_ce: 0.1026, aux.acc_seg: 89.8589, loss: 0.2759 2023-11-13 23:31:04,402 - mmseg - INFO - Iter [113300/160000] lr: 1.751e-05, eta: 3:11:07, time: 0.268, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1653, decode.acc_seg: 92.8299, aux.loss_ce: 0.0980, aux.acc_seg: 90.0163, loss: 0.2633 2023-11-13 23:31:16,208 - mmseg - INFO - Iter [113350/160000] lr: 1.749e-05, eta: 3:10:54, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1798, decode.acc_seg: 92.1336, aux.loss_ce: 0.1067, aux.acc_seg: 89.3074, loss: 0.2865 2023-11-13 23:31:28,262 - mmseg - INFO - Iter [113400/160000] lr: 1.748e-05, eta: 3:10:42, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1751, decode.acc_seg: 92.5333, aux.loss_ce: 0.1053, aux.acc_seg: 89.5145, loss: 0.2803 2023-11-13 23:31:40,109 - mmseg - INFO - Iter [113450/160000] lr: 1.746e-05, eta: 3:10:29, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1801, decode.acc_seg: 92.3432, aux.loss_ce: 0.1080, aux.acc_seg: 89.3288, loss: 0.2881 2023-11-13 23:31:51,910 - mmseg - INFO - Iter [113500/160000] lr: 1.744e-05, eta: 3:10:17, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1742, decode.acc_seg: 92.7137, aux.loss_ce: 0.1053, aux.acc_seg: 89.5963, loss: 0.2795 2023-11-13 23:32:03,687 - mmseg - INFO - Iter [113550/160000] lr: 1.742e-05, eta: 3:10:04, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1711, decode.acc_seg: 92.7857, aux.loss_ce: 0.1053, aux.acc_seg: 89.6250, loss: 0.2764 2023-11-13 23:32:15,404 - mmseg - INFO - Iter [113600/160000] lr: 1.740e-05, eta: 3:09:52, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1751, decode.acc_seg: 92.4626, aux.loss_ce: 0.1074, aux.acc_seg: 89.2710, loss: 0.2825 2023-11-13 23:32:27,102 - mmseg - INFO - Iter [113650/160000] lr: 1.738e-05, eta: 3:09:39, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1667, decode.acc_seg: 92.9010, aux.loss_ce: 0.1019, aux.acc_seg: 89.9412, loss: 0.2686 2023-11-13 23:32:41,258 - mmseg - INFO - Iter [113700/160000] lr: 1.736e-05, eta: 3:09:28, time: 0.283, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1712, decode.acc_seg: 92.6929, aux.loss_ce: 0.1015, aux.acc_seg: 89.9084, loss: 0.2727 2023-11-13 23:32:52,969 - mmseg - INFO - Iter [113750/160000] lr: 1.734e-05, eta: 3:09:15, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1691, decode.acc_seg: 92.8187, aux.loss_ce: 0.1019, aux.acc_seg: 90.0246, loss: 0.2710 2023-11-13 23:33:04,729 - mmseg - INFO - Iter [113800/160000] lr: 1.733e-05, eta: 3:09:03, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1707, decode.acc_seg: 92.5074, aux.loss_ce: 0.1039, aux.acc_seg: 89.3747, loss: 0.2746 2023-11-13 23:33:16,520 - mmseg - INFO - Iter [113850/160000] lr: 1.731e-05, eta: 3:08:50, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1646, decode.acc_seg: 92.6429, aux.loss_ce: 0.1005, aux.acc_seg: 89.5876, loss: 0.2651 2023-11-13 23:33:28,721 - mmseg - INFO - Iter [113900/160000] lr: 1.729e-05, eta: 3:08:38, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1955, decode.acc_seg: 91.7036, aux.loss_ce: 0.1141, aux.acc_seg: 88.7760, loss: 0.3096 2023-11-13 23:33:41,149 - mmseg - INFO - Iter [113950/160000] lr: 1.727e-05, eta: 3:08:26, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1851, decode.acc_seg: 92.3380, aux.loss_ce: 0.1115, aux.acc_seg: 89.2727, loss: 0.2966 2023-11-13 23:33:53,195 - mmseg - INFO - Saving checkpoint at 114000 iterations 2023-11-13 23:33:55,956 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:33:55,956 - mmseg - INFO - Iter [114000/160000] lr: 1.725e-05, eta: 3:08:15, time: 0.296, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1726, decode.acc_seg: 92.8146, aux.loss_ce: 0.1030, aux.acc_seg: 89.8458, loss: 0.2757 2023-11-13 23:34:08,431 - mmseg - INFO - Iter [114050/160000] lr: 1.723e-05, eta: 3:08:02, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1792, decode.acc_seg: 92.4460, aux.loss_ce: 0.1091, aux.acc_seg: 89.2876, loss: 0.2883 2023-11-13 23:34:21,514 - mmseg - INFO - Iter [114100/160000] lr: 1.721e-05, eta: 3:07:50, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1744, decode.acc_seg: 92.7962, aux.loss_ce: 0.1033, aux.acc_seg: 90.1565, loss: 0.2777 2023-11-13 23:34:33,615 - mmseg - INFO - Iter [114150/160000] lr: 1.719e-05, eta: 3:07:38, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1692, decode.acc_seg: 92.6698, aux.loss_ce: 0.1003, aux.acc_seg: 89.9206, loss: 0.2694 2023-11-13 23:34:45,675 - mmseg - INFO - Iter [114200/160000] lr: 1.718e-05, eta: 3:07:26, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1687, decode.acc_seg: 92.8763, aux.loss_ce: 0.1021, aux.acc_seg: 89.8874, loss: 0.2708 2023-11-13 23:34:57,999 - mmseg - INFO - Iter [114250/160000] lr: 1.716e-05, eta: 3:07:13, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1665, decode.acc_seg: 92.7912, aux.loss_ce: 0.0982, aux.acc_seg: 90.1131, loss: 0.2648 2023-11-13 23:35:09,990 - mmseg - INFO - Iter [114300/160000] lr: 1.714e-05, eta: 3:07:01, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1765, decode.acc_seg: 92.5271, aux.loss_ce: 0.1055, aux.acc_seg: 89.4832, loss: 0.2820 2023-11-13 23:35:21,638 - mmseg - INFO - Iter [114350/160000] lr: 1.712e-05, eta: 3:06:49, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1669, decode.acc_seg: 92.8135, aux.loss_ce: 0.1020, aux.acc_seg: 89.7816, loss: 0.2689 2023-11-13 23:35:34,244 - mmseg - INFO - Iter [114400/160000] lr: 1.710e-05, eta: 3:06:36, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1691, decode.acc_seg: 92.9645, aux.loss_ce: 0.0997, aux.acc_seg: 90.0994, loss: 0.2689 2023-11-13 23:35:47,367 - mmseg - INFO - Iter [114450/160000] lr: 1.708e-05, eta: 3:06:24, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1820, decode.acc_seg: 92.4293, aux.loss_ce: 0.1089, aux.acc_seg: 89.2586, loss: 0.2909 2023-11-13 23:35:59,530 - mmseg - INFO - Iter [114500/160000] lr: 1.706e-05, eta: 3:06:12, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1707, decode.acc_seg: 92.7764, aux.loss_ce: 0.1011, aux.acc_seg: 89.8460, loss: 0.2718 2023-11-13 23:36:11,245 - mmseg - INFO - Iter [114550/160000] lr: 1.704e-05, eta: 3:06:00, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1721, decode.acc_seg: 92.8814, aux.loss_ce: 0.1055, aux.acc_seg: 89.6126, loss: 0.2776 2023-11-13 23:36:23,242 - mmseg - INFO - Iter [114600/160000] lr: 1.703e-05, eta: 3:05:47, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1837, decode.acc_seg: 92.1366, aux.loss_ce: 0.1109, aux.acc_seg: 88.8759, loss: 0.2947 2023-11-13 23:36:34,926 - mmseg - INFO - Iter [114650/160000] lr: 1.701e-05, eta: 3:05:35, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1763, decode.acc_seg: 92.4407, aux.loss_ce: 0.1050, aux.acc_seg: 89.6041, loss: 0.2813 2023-11-13 23:36:46,598 - mmseg - INFO - Iter [114700/160000] lr: 1.699e-05, eta: 3:05:22, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1734, decode.acc_seg: 92.6824, aux.loss_ce: 0.1024, aux.acc_seg: 89.9883, loss: 0.2758 2023-11-13 23:36:58,525 - mmseg - INFO - Iter [114750/160000] lr: 1.697e-05, eta: 3:05:10, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1838, decode.acc_seg: 92.1869, aux.loss_ce: 0.1108, aux.acc_seg: 89.2647, loss: 0.2945 2023-11-13 23:37:10,478 - mmseg - INFO - Iter [114800/160000] lr: 1.695e-05, eta: 3:04:57, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1589, decode.acc_seg: 92.9716, aux.loss_ce: 0.0936, aux.acc_seg: 90.4750, loss: 0.2525 2023-11-13 23:37:22,236 - mmseg - INFO - Iter [114850/160000] lr: 1.693e-05, eta: 3:04:45, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1799, decode.acc_seg: 92.4698, aux.loss_ce: 0.1104, aux.acc_seg: 89.2245, loss: 0.2903 2023-11-13 23:37:34,993 - mmseg - INFO - Iter [114900/160000] lr: 1.691e-05, eta: 3:04:33, time: 0.255, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1686, decode.acc_seg: 92.8663, aux.loss_ce: 0.1004, aux.acc_seg: 90.1283, loss: 0.2690 2023-11-13 23:37:49,005 - mmseg - INFO - Iter [114950/160000] lr: 1.689e-05, eta: 3:04:21, time: 0.280, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1825, decode.acc_seg: 92.3197, aux.loss_ce: 0.1075, aux.acc_seg: 89.5342, loss: 0.2901 2023-11-13 23:38:01,113 - mmseg - INFO - Saving checkpoint at 115000 iterations 2023-11-13 23:38:03,753 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:38:03,754 - mmseg - INFO - Iter [115000/160000] lr: 1.688e-05, eta: 3:04:10, time: 0.295, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1682, decode.acc_seg: 92.8485, aux.loss_ce: 0.1027, aux.acc_seg: 89.8240, loss: 0.2709 2023-11-13 23:38:15,416 - mmseg - INFO - Iter [115050/160000] lr: 1.686e-05, eta: 3:03:57, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1650, decode.acc_seg: 92.9251, aux.loss_ce: 0.0984, aux.acc_seg: 90.0751, loss: 0.2633 2023-11-13 23:38:27,301 - mmseg - INFO - Iter [115100/160000] lr: 1.684e-05, eta: 3:03:45, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1706, decode.acc_seg: 92.8128, aux.loss_ce: 0.1004, aux.acc_seg: 90.0055, loss: 0.2710 2023-11-13 23:38:39,049 - mmseg - INFO - Iter [115150/160000] lr: 1.682e-05, eta: 3:03:33, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1731, decode.acc_seg: 92.4131, aux.loss_ce: 0.1054, aux.acc_seg: 89.3424, loss: 0.2785 2023-11-13 23:38:51,265 - mmseg - INFO - Iter [115200/160000] lr: 1.680e-05, eta: 3:03:20, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1716, decode.acc_seg: 92.6959, aux.loss_ce: 0.1012, aux.acc_seg: 90.0823, loss: 0.2728 2023-11-13 23:39:02,969 - mmseg - INFO - Iter [115250/160000] lr: 1.678e-05, eta: 3:03:08, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1738, decode.acc_seg: 92.6249, aux.loss_ce: 0.1054, aux.acc_seg: 89.5225, loss: 0.2793 2023-11-13 23:39:14,632 - mmseg - INFO - Iter [115300/160000] lr: 1.676e-05, eta: 3:02:55, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1666, decode.acc_seg: 92.8348, aux.loss_ce: 0.1002, aux.acc_seg: 89.9618, loss: 0.2668 2023-11-13 23:39:26,612 - mmseg - INFO - Iter [115350/160000] lr: 1.674e-05, eta: 3:02:43, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1635, decode.acc_seg: 92.9969, aux.loss_ce: 0.1011, aux.acc_seg: 89.9205, loss: 0.2646 2023-11-13 23:39:38,441 - mmseg - INFO - Iter [115400/160000] lr: 1.673e-05, eta: 3:02:30, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1660, decode.acc_seg: 92.6895, aux.loss_ce: 0.0983, aux.acc_seg: 89.9451, loss: 0.2643 2023-11-13 23:39:51,083 - mmseg - INFO - Iter [115450/160000] lr: 1.671e-05, eta: 3:02:18, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1711, decode.acc_seg: 92.8302, aux.loss_ce: 0.1046, aux.acc_seg: 89.9387, loss: 0.2757 2023-11-13 23:40:03,126 - mmseg - INFO - Iter [115500/160000] lr: 1.669e-05, eta: 3:02:06, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1741, decode.acc_seg: 92.5297, aux.loss_ce: 0.1032, aux.acc_seg: 89.8387, loss: 0.2773 2023-11-13 23:40:15,134 - mmseg - INFO - Iter [115550/160000] lr: 1.667e-05, eta: 3:01:53, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1673, decode.acc_seg: 92.7015, aux.loss_ce: 0.0994, aux.acc_seg: 89.9273, loss: 0.2668 2023-11-13 23:40:27,491 - mmseg - INFO - Iter [115600/160000] lr: 1.665e-05, eta: 3:01:41, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1712, decode.acc_seg: 92.6372, aux.loss_ce: 0.1062, aux.acc_seg: 89.5716, loss: 0.2774 2023-11-13 23:40:39,250 - mmseg - INFO - Iter [115650/160000] lr: 1.663e-05, eta: 3:01:29, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1721, decode.acc_seg: 92.7389, aux.loss_ce: 0.1021, aux.acc_seg: 89.7085, loss: 0.2742 2023-11-13 23:40:51,266 - mmseg - INFO - Iter [115700/160000] lr: 1.661e-05, eta: 3:01:16, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1747, decode.acc_seg: 92.5391, aux.loss_ce: 0.1077, aux.acc_seg: 89.2584, loss: 0.2824 2023-11-13 23:41:03,038 - mmseg - INFO - Iter [115750/160000] lr: 1.659e-05, eta: 3:01:04, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1756, decode.acc_seg: 92.6612, aux.loss_ce: 0.1090, aux.acc_seg: 89.4674, loss: 0.2847 2023-11-13 23:41:15,304 - mmseg - INFO - Iter [115800/160000] lr: 1.658e-05, eta: 3:00:52, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1761, decode.acc_seg: 92.6616, aux.loss_ce: 0.1068, aux.acc_seg: 89.6004, loss: 0.2829 2023-11-13 23:41:27,087 - mmseg - INFO - Iter [115850/160000] lr: 1.656e-05, eta: 3:00:39, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1596, decode.acc_seg: 93.0849, aux.loss_ce: 0.0962, aux.acc_seg: 90.0745, loss: 0.2558 2023-11-13 23:41:38,804 - mmseg - INFO - Iter [115900/160000] lr: 1.654e-05, eta: 3:00:27, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1741, decode.acc_seg: 92.5558, aux.loss_ce: 0.1050, aux.acc_seg: 89.6565, loss: 0.2791 2023-11-13 23:41:50,424 - mmseg - INFO - Iter [115950/160000] lr: 1.652e-05, eta: 3:00:14, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1778, decode.acc_seg: 92.5286, aux.loss_ce: 0.1053, aux.acc_seg: 89.6511, loss: 0.2830 2023-11-13 23:42:02,591 - mmseg - INFO - Saving checkpoint at 116000 iterations 2023-11-13 23:42:05,374 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:42:05,374 - mmseg - INFO - Iter [116000/160000] lr: 1.650e-05, eta: 3:00:03, time: 0.299, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1751, decode.acc_seg: 92.3965, aux.loss_ce: 0.1055, aux.acc_seg: 89.2594, loss: 0.2805 2023-11-13 23:42:17,136 - mmseg - INFO - Iter [116050/160000] lr: 1.648e-05, eta: 2:59:50, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1627, decode.acc_seg: 93.1081, aux.loss_ce: 0.0990, aux.acc_seg: 90.2359, loss: 0.2617 2023-11-13 23:42:30,149 - mmseg - INFO - Iter [116100/160000] lr: 1.646e-05, eta: 2:59:38, time: 0.260, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1759, decode.acc_seg: 92.5570, aux.loss_ce: 0.1080, aux.acc_seg: 89.1754, loss: 0.2839 2023-11-13 23:42:41,786 - mmseg - INFO - Iter [116150/160000] lr: 1.644e-05, eta: 2:59:26, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1698, decode.acc_seg: 92.8593, aux.loss_ce: 0.1024, aux.acc_seg: 90.0270, loss: 0.2722 2023-11-13 23:42:55,706 - mmseg - INFO - Iter [116200/160000] lr: 1.643e-05, eta: 2:59:14, time: 0.278, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1750, decode.acc_seg: 92.3872, aux.loss_ce: 0.1037, aux.acc_seg: 89.5723, loss: 0.2787 2023-11-13 23:43:08,160 - mmseg - INFO - Iter [116250/160000] lr: 1.641e-05, eta: 2:59:02, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1719, decode.acc_seg: 92.6786, aux.loss_ce: 0.1076, aux.acc_seg: 89.1914, loss: 0.2795 2023-11-13 23:43:20,053 - mmseg - INFO - Iter [116300/160000] lr: 1.639e-05, eta: 2:58:50, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1660, decode.acc_seg: 92.7949, aux.loss_ce: 0.1004, aux.acc_seg: 90.0247, loss: 0.2664 2023-11-13 23:43:31,771 - mmseg - INFO - Iter [116350/160000] lr: 1.637e-05, eta: 2:58:37, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1691, decode.acc_seg: 92.9742, aux.loss_ce: 0.1034, aux.acc_seg: 89.9128, loss: 0.2725 2023-11-13 23:43:43,548 - mmseg - INFO - Iter [116400/160000] lr: 1.635e-05, eta: 2:58:25, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1721, decode.acc_seg: 92.7621, aux.loss_ce: 0.1057, aux.acc_seg: 89.5836, loss: 0.2778 2023-11-13 23:43:56,068 - mmseg - INFO - Iter [116450/160000] lr: 1.633e-05, eta: 2:58:12, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1660, decode.acc_seg: 93.0341, aux.loss_ce: 0.0976, aux.acc_seg: 90.3433, loss: 0.2636 2023-11-13 23:44:08,271 - mmseg - INFO - Iter [116500/160000] lr: 1.631e-05, eta: 2:58:00, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1665, decode.acc_seg: 92.8682, aux.loss_ce: 0.0995, aux.acc_seg: 89.9944, loss: 0.2660 2023-11-13 23:44:21,142 - mmseg - INFO - Iter [116550/160000] lr: 1.629e-05, eta: 2:57:48, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1689, decode.acc_seg: 92.7144, aux.loss_ce: 0.1012, aux.acc_seg: 89.7934, loss: 0.2701 2023-11-13 23:44:32,862 - mmseg - INFO - Iter [116600/160000] lr: 1.628e-05, eta: 2:57:36, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1676, decode.acc_seg: 92.8232, aux.loss_ce: 0.1007, aux.acc_seg: 89.9330, loss: 0.2683 2023-11-13 23:44:45,439 - mmseg - INFO - Iter [116650/160000] lr: 1.626e-05, eta: 2:57:23, time: 0.252, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1696, decode.acc_seg: 92.7222, aux.loss_ce: 0.1019, aux.acc_seg: 89.6467, loss: 0.2715 2023-11-13 23:44:57,056 - mmseg - INFO - Iter [116700/160000] lr: 1.624e-05, eta: 2:57:11, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1748, decode.acc_seg: 92.4652, aux.loss_ce: 0.1065, aux.acc_seg: 89.3414, loss: 0.2813 2023-11-13 23:45:08,717 - mmseg - INFO - Iter [116750/160000] lr: 1.622e-05, eta: 2:56:58, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1704, decode.acc_seg: 92.6504, aux.loss_ce: 0.1070, aux.acc_seg: 89.3874, loss: 0.2774 2023-11-13 23:45:20,722 - mmseg - INFO - Iter [116800/160000] lr: 1.620e-05, eta: 2:56:46, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1664, decode.acc_seg: 92.9460, aux.loss_ce: 0.1012, aux.acc_seg: 90.0793, loss: 0.2676 2023-11-13 23:45:32,445 - mmseg - INFO - Iter [116850/160000] lr: 1.618e-05, eta: 2:56:34, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1635, decode.acc_seg: 92.9828, aux.loss_ce: 0.0977, aux.acc_seg: 90.2072, loss: 0.2611 2023-11-13 23:45:44,039 - mmseg - INFO - Iter [116900/160000] lr: 1.616e-05, eta: 2:56:21, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1688, decode.acc_seg: 92.6181, aux.loss_ce: 0.1010, aux.acc_seg: 89.8454, loss: 0.2697 2023-11-13 23:45:55,730 - mmseg - INFO - Iter [116950/160000] lr: 1.614e-05, eta: 2:56:09, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1779, decode.acc_seg: 92.4053, aux.loss_ce: 0.1064, aux.acc_seg: 89.4178, loss: 0.2843 2023-11-13 23:46:07,695 - mmseg - INFO - Saving checkpoint at 117000 iterations 2023-11-13 23:46:10,274 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:46:10,274 - mmseg - INFO - Iter [117000/160000] lr: 1.613e-05, eta: 2:55:57, time: 0.291, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1597, decode.acc_seg: 92.9729, aux.loss_ce: 0.0983, aux.acc_seg: 90.0489, loss: 0.2580 2023-11-13 23:46:22,577 - mmseg - INFO - Iter [117050/160000] lr: 1.611e-05, eta: 2:55:45, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1681, decode.acc_seg: 92.7907, aux.loss_ce: 0.1027, aux.acc_seg: 89.6464, loss: 0.2708 2023-11-13 23:46:34,697 - mmseg - INFO - Iter [117100/160000] lr: 1.609e-05, eta: 2:55:33, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1784, decode.acc_seg: 92.5178, aux.loss_ce: 0.1079, aux.acc_seg: 89.3727, loss: 0.2864 2023-11-13 23:46:46,378 - mmseg - INFO - Iter [117150/160000] lr: 1.607e-05, eta: 2:55:20, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1761, decode.acc_seg: 92.5156, aux.loss_ce: 0.1053, aux.acc_seg: 89.4878, loss: 0.2814 2023-11-13 23:46:59,477 - mmseg - INFO - Iter [117200/160000] lr: 1.605e-05, eta: 2:55:08, time: 0.262, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1742, decode.acc_seg: 92.7350, aux.loss_ce: 0.1047, aux.acc_seg: 89.7126, loss: 0.2789 2023-11-13 23:47:11,388 - mmseg - INFO - Iter [117250/160000] lr: 1.603e-05, eta: 2:54:56, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1669, decode.acc_seg: 92.8580, aux.loss_ce: 0.1017, aux.acc_seg: 89.8059, loss: 0.2686 2023-11-13 23:47:23,225 - mmseg - INFO - Iter [117300/160000] lr: 1.601e-05, eta: 2:54:43, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1758, decode.acc_seg: 92.6461, aux.loss_ce: 0.1044, aux.acc_seg: 89.8845, loss: 0.2803 2023-11-13 23:47:34,853 - mmseg - INFO - Iter [117350/160000] lr: 1.599e-05, eta: 2:54:31, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1715, decode.acc_seg: 92.9152, aux.loss_ce: 0.1060, aux.acc_seg: 89.7827, loss: 0.2775 2023-11-13 23:47:46,516 - mmseg - INFO - Iter [117400/160000] lr: 1.598e-05, eta: 2:54:18, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1681, decode.acc_seg: 92.7929, aux.loss_ce: 0.1041, aux.acc_seg: 89.6600, loss: 0.2721 2023-11-13 23:47:59,108 - mmseg - INFO - Iter [117450/160000] lr: 1.596e-05, eta: 2:54:06, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1801, decode.acc_seg: 92.3916, aux.loss_ce: 0.1095, aux.acc_seg: 89.3038, loss: 0.2896 2023-11-13 23:48:13,138 - mmseg - INFO - Iter [117500/160000] lr: 1.594e-05, eta: 2:53:54, time: 0.281, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1787, decode.acc_seg: 92.4916, aux.loss_ce: 0.1046, aux.acc_seg: 89.7346, loss: 0.2832 2023-11-13 23:48:25,246 - mmseg - INFO - Iter [117550/160000] lr: 1.592e-05, eta: 2:53:42, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1692, decode.acc_seg: 92.7981, aux.loss_ce: 0.0977, aux.acc_seg: 90.3117, loss: 0.2669 2023-11-13 23:48:37,148 - mmseg - INFO - Iter [117600/160000] lr: 1.590e-05, eta: 2:53:30, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1696, decode.acc_seg: 92.6881, aux.loss_ce: 0.1007, aux.acc_seg: 89.8815, loss: 0.2704 2023-11-13 23:48:49,662 - mmseg - INFO - Iter [117650/160000] lr: 1.588e-05, eta: 2:53:17, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1682, decode.acc_seg: 92.7253, aux.loss_ce: 0.1037, aux.acc_seg: 89.6100, loss: 0.2719 2023-11-13 23:49:01,518 - mmseg - INFO - Iter [117700/160000] lr: 1.586e-05, eta: 2:53:05, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1721, decode.acc_seg: 92.7498, aux.loss_ce: 0.1030, aux.acc_seg: 89.7561, loss: 0.2751 2023-11-13 23:49:13,399 - mmseg - INFO - Iter [117750/160000] lr: 1.584e-05, eta: 2:52:53, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1683, decode.acc_seg: 92.7444, aux.loss_ce: 0.1020, aux.acc_seg: 89.8511, loss: 0.2703 2023-11-13 23:49:26,096 - mmseg - INFO - Iter [117800/160000] lr: 1.583e-05, eta: 2:52:40, time: 0.255, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1655, decode.acc_seg: 92.7403, aux.loss_ce: 0.1004, aux.acc_seg: 89.8811, loss: 0.2659 2023-11-13 23:49:37,739 - mmseg - INFO - Iter [117850/160000] lr: 1.581e-05, eta: 2:52:28, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1739, decode.acc_seg: 92.5755, aux.loss_ce: 0.1051, aux.acc_seg: 89.6744, loss: 0.2789 2023-11-13 23:49:49,627 - mmseg - INFO - Iter [117900/160000] lr: 1.579e-05, eta: 2:52:16, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1742, decode.acc_seg: 92.7806, aux.loss_ce: 0.1039, aux.acc_seg: 89.7412, loss: 0.2781 2023-11-13 23:50:01,270 - mmseg - INFO - Iter [117950/160000] lr: 1.577e-05, eta: 2:52:03, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1693, decode.acc_seg: 92.7264, aux.loss_ce: 0.1022, aux.acc_seg: 89.8349, loss: 0.2715 2023-11-13 23:50:13,218 - mmseg - INFO - Saving checkpoint at 118000 iterations 2023-11-13 23:50:15,825 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:50:15,825 - mmseg - INFO - Iter [118000/160000] lr: 1.575e-05, eta: 2:51:52, time: 0.291, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1776, decode.acc_seg: 92.4288, aux.loss_ce: 0.1056, aux.acc_seg: 89.7679, loss: 0.2831 2023-11-13 23:50:29,887 - mmseg - INFO - Iter [118050/160000] lr: 1.573e-05, eta: 2:51:40, time: 0.281, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1645, decode.acc_seg: 92.9169, aux.loss_ce: 0.1021, aux.acc_seg: 89.7977, loss: 0.2666 2023-11-13 23:50:41,982 - mmseg - INFO - Iter [118100/160000] lr: 1.571e-05, eta: 2:51:28, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1775, decode.acc_seg: 92.4532, aux.loss_ce: 0.1085, aux.acc_seg: 89.4667, loss: 0.2859 2023-11-13 23:50:53,556 - mmseg - INFO - Iter [118150/160000] lr: 1.569e-05, eta: 2:51:15, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1776, decode.acc_seg: 92.4440, aux.loss_ce: 0.1068, aux.acc_seg: 89.5951, loss: 0.2844 2023-11-13 23:51:05,256 - mmseg - INFO - Iter [118200/160000] lr: 1.568e-05, eta: 2:51:03, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1610, decode.acc_seg: 93.1628, aux.loss_ce: 0.0989, aux.acc_seg: 90.2165, loss: 0.2599 2023-11-13 23:51:16,962 - mmseg - INFO - Iter [118250/160000] lr: 1.566e-05, eta: 2:50:50, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1730, decode.acc_seg: 92.7392, aux.loss_ce: 0.1030, aux.acc_seg: 90.0639, loss: 0.2760 2023-11-13 23:51:29,543 - mmseg - INFO - Iter [118300/160000] lr: 1.564e-05, eta: 2:50:38, time: 0.252, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1748, decode.acc_seg: 92.3997, aux.loss_ce: 0.1079, aux.acc_seg: 89.2232, loss: 0.2827 2023-11-13 23:51:41,292 - mmseg - INFO - Iter [118350/160000] lr: 1.562e-05, eta: 2:50:25, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1739, decode.acc_seg: 92.8251, aux.loss_ce: 0.1061, aux.acc_seg: 89.8818, loss: 0.2800 2023-11-13 23:51:53,098 - mmseg - INFO - Iter [118400/160000] lr: 1.560e-05, eta: 2:50:13, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1718, decode.acc_seg: 92.6466, aux.loss_ce: 0.1096, aux.acc_seg: 89.4548, loss: 0.2814 2023-11-13 23:52:04,660 - mmseg - INFO - Iter [118450/160000] lr: 1.558e-05, eta: 2:50:01, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1703, decode.acc_seg: 92.9018, aux.loss_ce: 0.0998, aux.acc_seg: 90.1817, loss: 0.2701 2023-11-13 23:52:16,379 - mmseg - INFO - Iter [118500/160000] lr: 1.556e-05, eta: 2:49:48, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1616, decode.acc_seg: 92.9974, aux.loss_ce: 0.0962, aux.acc_seg: 90.4853, loss: 0.2579 2023-11-13 23:52:28,506 - mmseg - INFO - Iter [118550/160000] lr: 1.554e-05, eta: 2:49:36, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1783, decode.acc_seg: 92.4662, aux.loss_ce: 0.1079, aux.acc_seg: 89.2757, loss: 0.2862 2023-11-13 23:52:40,175 - mmseg - INFO - Iter [118600/160000] lr: 1.553e-05, eta: 2:49:23, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1752, decode.acc_seg: 92.5981, aux.loss_ce: 0.1085, aux.acc_seg: 89.3172, loss: 0.2837 2023-11-13 23:52:51,810 - mmseg - INFO - Iter [118650/160000] lr: 1.551e-05, eta: 2:49:11, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1782, decode.acc_seg: 92.3628, aux.loss_ce: 0.1060, aux.acc_seg: 89.5324, loss: 0.2841 2023-11-13 23:53:03,446 - mmseg - INFO - Iter [118700/160000] lr: 1.549e-05, eta: 2:48:58, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1682, decode.acc_seg: 92.7778, aux.loss_ce: 0.1005, aux.acc_seg: 90.0955, loss: 0.2687 2023-11-13 23:53:17,791 - mmseg - INFO - Iter [118750/160000] lr: 1.547e-05, eta: 2:48:47, time: 0.287, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1667, decode.acc_seg: 92.9046, aux.loss_ce: 0.1030, aux.acc_seg: 89.9075, loss: 0.2697 2023-11-13 23:53:29,468 - mmseg - INFO - Iter [118800/160000] lr: 1.545e-05, eta: 2:48:34, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1606, decode.acc_seg: 92.9835, aux.loss_ce: 0.0987, aux.acc_seg: 89.9369, loss: 0.2592 2023-11-13 23:53:41,216 - mmseg - INFO - Iter [118850/160000] lr: 1.543e-05, eta: 2:48:22, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1742, decode.acc_seg: 92.4286, aux.loss_ce: 0.1049, aux.acc_seg: 89.4366, loss: 0.2791 2023-11-13 23:53:53,697 - mmseg - INFO - Iter [118900/160000] lr: 1.541e-05, eta: 2:48:10, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1641, decode.acc_seg: 92.9165, aux.loss_ce: 0.1014, aux.acc_seg: 89.8339, loss: 0.2655 2023-11-13 23:54:05,475 - mmseg - INFO - Iter [118950/160000] lr: 1.539e-05, eta: 2:47:57, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1662, decode.acc_seg: 92.7935, aux.loss_ce: 0.0998, aux.acc_seg: 90.0238, loss: 0.2660 2023-11-13 23:54:17,326 - mmseg - INFO - Saving checkpoint at 119000 iterations 2023-11-13 23:54:19,970 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:54:19,970 - mmseg - INFO - Iter [119000/160000] lr: 1.538e-05, eta: 2:47:46, time: 0.290, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1704, decode.acc_seg: 92.7551, aux.loss_ce: 0.1021, aux.acc_seg: 89.9601, loss: 0.2725 2023-11-13 23:54:31,655 - mmseg - INFO - Iter [119050/160000] lr: 1.536e-05, eta: 2:47:33, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1695, decode.acc_seg: 92.8481, aux.loss_ce: 0.0985, aux.acc_seg: 90.2265, loss: 0.2679 2023-11-13 23:54:43,573 - mmseg - INFO - Iter [119100/160000] lr: 1.534e-05, eta: 2:47:21, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1795, decode.acc_seg: 92.4922, aux.loss_ce: 0.1068, aux.acc_seg: 89.6467, loss: 0.2863 2023-11-13 23:54:55,259 - mmseg - INFO - Iter [119150/160000] lr: 1.532e-05, eta: 2:47:08, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1708, decode.acc_seg: 92.7660, aux.loss_ce: 0.1022, aux.acc_seg: 89.9496, loss: 0.2730 2023-11-13 23:55:06,912 - mmseg - INFO - Iter [119200/160000] lr: 1.530e-05, eta: 2:46:56, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1709, decode.acc_seg: 92.8261, aux.loss_ce: 0.1018, aux.acc_seg: 89.9460, loss: 0.2727 2023-11-13 23:55:19,092 - mmseg - INFO - Iter [119250/160000] lr: 1.528e-05, eta: 2:46:43, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1788, decode.acc_seg: 92.5373, aux.loss_ce: 0.1059, aux.acc_seg: 89.6484, loss: 0.2846 2023-11-13 23:55:30,746 - mmseg - INFO - Iter [119300/160000] lr: 1.526e-05, eta: 2:46:31, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1739, decode.acc_seg: 92.7049, aux.loss_ce: 0.1035, aux.acc_seg: 89.7366, loss: 0.2774 2023-11-13 23:55:42,437 - mmseg - INFO - Iter [119350/160000] lr: 1.524e-05, eta: 2:46:18, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1808, decode.acc_seg: 92.3271, aux.loss_ce: 0.1097, aux.acc_seg: 89.2390, loss: 0.2905 2023-11-13 23:55:54,953 - mmseg - INFO - Iter [119400/160000] lr: 1.523e-05, eta: 2:46:06, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1645, decode.acc_seg: 92.9063, aux.loss_ce: 0.1007, aux.acc_seg: 89.7537, loss: 0.2653 2023-11-13 23:56:06,575 - mmseg - INFO - Iter [119450/160000] lr: 1.521e-05, eta: 2:45:54, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1693, decode.acc_seg: 92.8346, aux.loss_ce: 0.1005, aux.acc_seg: 90.1716, loss: 0.2698 2023-11-13 23:56:18,374 - mmseg - INFO - Iter [119500/160000] lr: 1.519e-05, eta: 2:45:41, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1698, decode.acc_seg: 92.9318, aux.loss_ce: 0.1049, aux.acc_seg: 89.8717, loss: 0.2747 2023-11-13 23:56:30,051 - mmseg - INFO - Iter [119550/160000] lr: 1.517e-05, eta: 2:45:29, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1718, decode.acc_seg: 92.7550, aux.loss_ce: 0.1046, aux.acc_seg: 89.7546, loss: 0.2764 2023-11-13 23:56:41,841 - mmseg - INFO - Iter [119600/160000] lr: 1.515e-05, eta: 2:45:16, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1671, decode.acc_seg: 92.9527, aux.loss_ce: 0.1039, aux.acc_seg: 89.7965, loss: 0.2710 2023-11-13 23:56:53,499 - mmseg - INFO - Iter [119650/160000] lr: 1.513e-05, eta: 2:45:04, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1625, decode.acc_seg: 92.9948, aux.loss_ce: 0.0999, aux.acc_seg: 89.9057, loss: 0.2624 2023-11-13 23:57:05,578 - mmseg - INFO - Iter [119700/160000] lr: 1.511e-05, eta: 2:44:52, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1772, decode.acc_seg: 92.5840, aux.loss_ce: 0.1076, aux.acc_seg: 89.4846, loss: 0.2849 2023-11-13 23:57:18,089 - mmseg - INFO - Iter [119750/160000] lr: 1.509e-05, eta: 2:44:39, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1749, decode.acc_seg: 92.4806, aux.loss_ce: 0.1058, aux.acc_seg: 89.5415, loss: 0.2807 2023-11-13 23:57:29,720 - mmseg - INFO - Iter [119800/160000] lr: 1.508e-05, eta: 2:44:27, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1672, decode.acc_seg: 92.8242, aux.loss_ce: 0.0994, aux.acc_seg: 90.1014, loss: 0.2666 2023-11-13 23:57:41,365 - mmseg - INFO - Iter [119850/160000] lr: 1.506e-05, eta: 2:44:14, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1718, decode.acc_seg: 92.6005, aux.loss_ce: 0.1054, aux.acc_seg: 89.5579, loss: 0.2772 2023-11-13 23:57:53,037 - mmseg - INFO - Iter [119900/160000] lr: 1.504e-05, eta: 2:44:02, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1625, decode.acc_seg: 93.1428, aux.loss_ce: 0.0994, aux.acc_seg: 90.0746, loss: 0.2619 2023-11-13 23:58:04,804 - mmseg - INFO - Iter [119950/160000] lr: 1.502e-05, eta: 2:43:50, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1819, decode.acc_seg: 92.3653, aux.loss_ce: 0.1109, aux.acc_seg: 89.0609, loss: 0.2927 2023-11-13 23:58:18,702 - mmseg - INFO - Saving checkpoint at 120000 iterations 2023-11-13 23:58:21,428 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-13 23:58:21,428 - mmseg - INFO - Iter [120000/160000] lr: 1.500e-05, eta: 2:43:39, time: 0.333, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1726, decode.acc_seg: 92.6494, aux.loss_ce: 0.1028, aux.acc_seg: 89.8302, loss: 0.2755 2023-11-13 23:58:33,776 - mmseg - INFO - Iter [120050/160000] lr: 1.498e-05, eta: 2:43:26, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1634, decode.acc_seg: 92.8047, aux.loss_ce: 0.1015, aux.acc_seg: 89.5515, loss: 0.2648 2023-11-13 23:58:45,498 - mmseg - INFO - Iter [120100/160000] lr: 1.496e-05, eta: 2:43:14, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1703, decode.acc_seg: 92.8587, aux.loss_ce: 0.1016, aux.acc_seg: 89.8447, loss: 0.2719 2023-11-13 23:58:57,347 - mmseg - INFO - Iter [120150/160000] lr: 1.494e-05, eta: 2:43:02, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1726, decode.acc_seg: 92.5834, aux.loss_ce: 0.1089, aux.acc_seg: 89.2746, loss: 0.2815 2023-11-13 23:59:09,169 - mmseg - INFO - Iter [120200/160000] lr: 1.493e-05, eta: 2:42:49, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1627, decode.acc_seg: 92.9920, aux.loss_ce: 0.0987, aux.acc_seg: 90.1567, loss: 0.2614 2023-11-13 23:59:20,845 - mmseg - INFO - Iter [120250/160000] lr: 1.491e-05, eta: 2:42:37, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1655, decode.acc_seg: 92.9089, aux.loss_ce: 0.1010, aux.acc_seg: 90.0757, loss: 0.2665 2023-11-13 23:59:33,165 - mmseg - INFO - Iter [120300/160000] lr: 1.489e-05, eta: 2:42:24, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1661, decode.acc_seg: 93.0116, aux.loss_ce: 0.1001, aux.acc_seg: 90.1628, loss: 0.2662 2023-11-13 23:59:44,808 - mmseg - INFO - Iter [120350/160000] lr: 1.487e-05, eta: 2:42:12, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1661, decode.acc_seg: 92.9672, aux.loss_ce: 0.1006, aux.acc_seg: 89.9635, loss: 0.2667 2023-11-13 23:59:56,510 - mmseg - INFO - Iter [120400/160000] lr: 1.485e-05, eta: 2:42:00, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1654, decode.acc_seg: 92.9980, aux.loss_ce: 0.1039, aux.acc_seg: 89.8021, loss: 0.2693 2023-11-14 00:00:08,422 - mmseg - INFO - Iter [120450/160000] lr: 1.483e-05, eta: 2:41:47, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1546, decode.acc_seg: 93.3691, aux.loss_ce: 0.0923, aux.acc_seg: 90.7153, loss: 0.2468 2023-11-14 00:00:20,169 - mmseg - INFO - Iter [120500/160000] lr: 1.481e-05, eta: 2:41:35, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1756, decode.acc_seg: 92.5405, aux.loss_ce: 0.1099, aux.acc_seg: 89.5118, loss: 0.2855 2023-11-14 00:00:31,800 - mmseg - INFO - Iter [120550/160000] lr: 1.479e-05, eta: 2:41:22, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1620, decode.acc_seg: 93.1065, aux.loss_ce: 0.0977, aux.acc_seg: 90.4028, loss: 0.2597 2023-11-14 00:00:43,975 - mmseg - INFO - Iter [120600/160000] lr: 1.478e-05, eta: 2:41:10, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1620, decode.acc_seg: 92.9575, aux.loss_ce: 0.0983, aux.acc_seg: 90.1235, loss: 0.2602 2023-11-14 00:00:56,132 - mmseg - INFO - Iter [120650/160000] lr: 1.476e-05, eta: 2:40:58, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1635, decode.acc_seg: 93.0436, aux.loss_ce: 0.0974, aux.acc_seg: 90.3873, loss: 0.2609 2023-11-14 00:01:08,237 - mmseg - INFO - Iter [120700/160000] lr: 1.474e-05, eta: 2:40:45, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1732, decode.acc_seg: 92.6008, aux.loss_ce: 0.1036, aux.acc_seg: 89.8192, loss: 0.2769 2023-11-14 00:01:21,842 - mmseg - INFO - Iter [120750/160000] lr: 1.472e-05, eta: 2:40:33, time: 0.272, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1692, decode.acc_seg: 92.8318, aux.loss_ce: 0.1046, aux.acc_seg: 89.7126, loss: 0.2738 2023-11-14 00:01:33,592 - mmseg - INFO - Iter [120800/160000] lr: 1.470e-05, eta: 2:40:21, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1562, decode.acc_seg: 93.2350, aux.loss_ce: 0.0953, aux.acc_seg: 90.4057, loss: 0.2515 2023-11-14 00:01:45,655 - mmseg - INFO - Iter [120850/160000] lr: 1.468e-05, eta: 2:40:09, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1662, decode.acc_seg: 92.8862, aux.loss_ce: 0.1001, aux.acc_seg: 89.9022, loss: 0.2663 2023-11-14 00:01:57,919 - mmseg - INFO - Iter [120900/160000] lr: 1.466e-05, eta: 2:39:56, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1743, decode.acc_seg: 92.7170, aux.loss_ce: 0.1061, aux.acc_seg: 89.8052, loss: 0.2804 2023-11-14 00:02:09,953 - mmseg - INFO - Iter [120950/160000] lr: 1.464e-05, eta: 2:39:44, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1740, decode.acc_seg: 92.5183, aux.loss_ce: 0.1030, aux.acc_seg: 89.6700, loss: 0.2770 2023-11-14 00:02:22,545 - mmseg - INFO - Saving checkpoint at 121000 iterations 2023-11-14 00:02:25,161 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:02:25,162 - mmseg - INFO - Iter [121000/160000] lr: 1.463e-05, eta: 2:39:33, time: 0.304, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1671, decode.acc_seg: 93.0539, aux.loss_ce: 0.0974, aux.acc_seg: 90.5152, loss: 0.2645 2023-11-14 00:02:36,929 - mmseg - INFO - Iter [121050/160000] lr: 1.461e-05, eta: 2:39:20, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1617, decode.acc_seg: 92.9386, aux.loss_ce: 0.0995, aux.acc_seg: 89.7586, loss: 0.2613 2023-11-14 00:02:48,866 - mmseg - INFO - Iter [121100/160000] lr: 1.459e-05, eta: 2:39:08, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1773, decode.acc_seg: 92.5620, aux.loss_ce: 0.1033, aux.acc_seg: 89.8550, loss: 0.2806 2023-11-14 00:03:00,510 - mmseg - INFO - Iter [121150/160000] lr: 1.457e-05, eta: 2:38:55, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1723, decode.acc_seg: 92.7547, aux.loss_ce: 0.1068, aux.acc_seg: 89.6009, loss: 0.2791 2023-11-14 00:03:12,146 - mmseg - INFO - Iter [121200/160000] lr: 1.455e-05, eta: 2:38:43, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1717, decode.acc_seg: 92.8808, aux.loss_ce: 0.1034, aux.acc_seg: 89.7598, loss: 0.2751 2023-11-14 00:03:26,239 - mmseg - INFO - Iter [121250/160000] lr: 1.453e-05, eta: 2:38:31, time: 0.282, data_time: 0.050, memory: 5958, decode.loss_ce: 0.1634, decode.acc_seg: 92.9794, aux.loss_ce: 0.0980, aux.acc_seg: 90.1636, loss: 0.2614 2023-11-14 00:03:37,868 - mmseg - INFO - Iter [121300/160000] lr: 1.451e-05, eta: 2:38:19, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1748, decode.acc_seg: 92.6252, aux.loss_ce: 0.1060, aux.acc_seg: 89.4992, loss: 0.2807 2023-11-14 00:03:49,493 - mmseg - INFO - Iter [121350/160000] lr: 1.449e-05, eta: 2:38:06, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1757, decode.acc_seg: 92.6255, aux.loss_ce: 0.1073, aux.acc_seg: 89.5878, loss: 0.2830 2023-11-14 00:04:01,340 - mmseg - INFO - Iter [121400/160000] lr: 1.448e-05, eta: 2:37:54, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1765, decode.acc_seg: 92.4244, aux.loss_ce: 0.1057, aux.acc_seg: 89.5158, loss: 0.2821 2023-11-14 00:04:13,046 - mmseg - INFO - Iter [121450/160000] lr: 1.446e-05, eta: 2:37:41, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1689, decode.acc_seg: 92.7953, aux.loss_ce: 0.1025, aux.acc_seg: 89.7346, loss: 0.2713 2023-11-14 00:04:25,171 - mmseg - INFO - Iter [121500/160000] lr: 1.444e-05, eta: 2:37:29, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1633, decode.acc_seg: 92.9683, aux.loss_ce: 0.0974, aux.acc_seg: 90.0814, loss: 0.2607 2023-11-14 00:04:37,230 - mmseg - INFO - Iter [121550/160000] lr: 1.442e-05, eta: 2:37:17, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1714, decode.acc_seg: 92.7312, aux.loss_ce: 0.1023, aux.acc_seg: 89.8884, loss: 0.2737 2023-11-14 00:04:48,873 - mmseg - INFO - Iter [121600/160000] lr: 1.440e-05, eta: 2:37:04, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1671, decode.acc_seg: 92.9651, aux.loss_ce: 0.1036, aux.acc_seg: 89.8401, loss: 0.2707 2023-11-14 00:05:00,484 - mmseg - INFO - Iter [121650/160000] lr: 1.438e-05, eta: 2:36:52, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1612, decode.acc_seg: 93.0672, aux.loss_ce: 0.0997, aux.acc_seg: 89.9751, loss: 0.2609 2023-11-14 00:05:12,313 - mmseg - INFO - Iter [121700/160000] lr: 1.436e-05, eta: 2:36:39, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1778, decode.acc_seg: 92.5065, aux.loss_ce: 0.1079, aux.acc_seg: 89.3595, loss: 0.2858 2023-11-14 00:05:24,354 - mmseg - INFO - Iter [121750/160000] lr: 1.434e-05, eta: 2:36:27, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1679, decode.acc_seg: 92.9626, aux.loss_ce: 0.1022, aux.acc_seg: 90.0923, loss: 0.2701 2023-11-14 00:05:38,411 - mmseg - INFO - Iter [121800/160000] lr: 1.433e-05, eta: 2:36:15, time: 0.281, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1704, decode.acc_seg: 92.5322, aux.loss_ce: 0.1047, aux.acc_seg: 89.3422, loss: 0.2751 2023-11-14 00:05:50,491 - mmseg - INFO - Iter [121850/160000] lr: 1.431e-05, eta: 2:36:03, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1664, decode.acc_seg: 92.8500, aux.loss_ce: 0.0993, aux.acc_seg: 90.0060, loss: 0.2657 2023-11-14 00:06:02,884 - mmseg - INFO - Iter [121900/160000] lr: 1.429e-05, eta: 2:35:51, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1622, decode.acc_seg: 93.0759, aux.loss_ce: 0.0983, aux.acc_seg: 90.2133, loss: 0.2605 2023-11-14 00:06:14,523 - mmseg - INFO - Iter [121950/160000] lr: 1.427e-05, eta: 2:35:38, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1673, decode.acc_seg: 92.9265, aux.loss_ce: 0.1003, aux.acc_seg: 90.0838, loss: 0.2676 2023-11-14 00:06:26,294 - mmseg - INFO - Saving checkpoint at 122000 iterations 2023-11-14 00:06:28,945 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:06:28,945 - mmseg - INFO - Iter [122000/160000] lr: 1.425e-05, eta: 2:35:27, time: 0.288, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1623, decode.acc_seg: 93.0556, aux.loss_ce: 0.0980, aux.acc_seg: 90.2410, loss: 0.2602 2023-11-14 00:06:40,933 - mmseg - INFO - Iter [122050/160000] lr: 1.423e-05, eta: 2:35:14, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1609, decode.acc_seg: 93.1049, aux.loss_ce: 0.0940, aux.acc_seg: 90.7320, loss: 0.2549 2023-11-14 00:06:52,515 - mmseg - INFO - Iter [122100/160000] lr: 1.421e-05, eta: 2:35:02, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1694, decode.acc_seg: 92.7986, aux.loss_ce: 0.1055, aux.acc_seg: 89.4341, loss: 0.2749 2023-11-14 00:07:04,514 - mmseg - INFO - Iter [122150/160000] lr: 1.419e-05, eta: 2:34:49, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1646, decode.acc_seg: 93.0567, aux.loss_ce: 0.1005, aux.acc_seg: 90.2103, loss: 0.2651 2023-11-14 00:07:16,412 - mmseg - INFO - Iter [122200/160000] lr: 1.418e-05, eta: 2:34:37, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1712, decode.acc_seg: 92.7867, aux.loss_ce: 0.1035, aux.acc_seg: 89.8181, loss: 0.2746 2023-11-14 00:07:28,100 - mmseg - INFO - Iter [122250/160000] lr: 1.416e-05, eta: 2:34:25, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1718, decode.acc_seg: 92.5357, aux.loss_ce: 0.1041, aux.acc_seg: 89.5102, loss: 0.2759 2023-11-14 00:07:40,500 - mmseg - INFO - Iter [122300/160000] lr: 1.414e-05, eta: 2:34:12, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1686, decode.acc_seg: 92.8787, aux.loss_ce: 0.1016, aux.acc_seg: 89.9633, loss: 0.2702 2023-11-14 00:07:52,780 - mmseg - INFO - Iter [122350/160000] lr: 1.412e-05, eta: 2:34:00, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1615, decode.acc_seg: 93.2216, aux.loss_ce: 0.1008, aux.acc_seg: 90.2358, loss: 0.2623 2023-11-14 00:08:04,528 - mmseg - INFO - Iter [122400/160000] lr: 1.410e-05, eta: 2:33:48, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1624, decode.acc_seg: 93.0896, aux.loss_ce: 0.0986, aux.acc_seg: 90.2373, loss: 0.2610 2023-11-14 00:08:17,500 - mmseg - INFO - Iter [122450/160000] lr: 1.408e-05, eta: 2:33:36, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1689, decode.acc_seg: 92.7898, aux.loss_ce: 0.1039, aux.acc_seg: 89.5113, loss: 0.2728 2023-11-14 00:08:29,332 - mmseg - INFO - Iter [122500/160000] lr: 1.406e-05, eta: 2:33:23, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1788, decode.acc_seg: 92.4107, aux.loss_ce: 0.1072, aux.acc_seg: 89.6465, loss: 0.2860 2023-11-14 00:08:44,021 - mmseg - INFO - Iter [122550/160000] lr: 1.404e-05, eta: 2:33:12, time: 0.293, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1550, decode.acc_seg: 93.2548, aux.loss_ce: 0.0935, aux.acc_seg: 90.5338, loss: 0.2485 2023-11-14 00:08:56,555 - mmseg - INFO - Iter [122600/160000] lr: 1.403e-05, eta: 2:33:00, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1626, decode.acc_seg: 92.9046, aux.loss_ce: 0.0982, aux.acc_seg: 89.9560, loss: 0.2607 2023-11-14 00:09:09,030 - mmseg - INFO - Iter [122650/160000] lr: 1.401e-05, eta: 2:32:47, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1742, decode.acc_seg: 92.5942, aux.loss_ce: 0.1063, aux.acc_seg: 89.4726, loss: 0.2806 2023-11-14 00:09:21,556 - mmseg - INFO - Iter [122700/160000] lr: 1.399e-05, eta: 2:32:35, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1722, decode.acc_seg: 92.7197, aux.loss_ce: 0.1040, aux.acc_seg: 89.8401, loss: 0.2762 2023-11-14 00:09:33,252 - mmseg - INFO - Iter [122750/160000] lr: 1.397e-05, eta: 2:32:23, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1653, decode.acc_seg: 92.8765, aux.loss_ce: 0.1003, aux.acc_seg: 90.0444, loss: 0.2656 2023-11-14 00:09:45,092 - mmseg - INFO - Iter [122800/160000] lr: 1.395e-05, eta: 2:32:10, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1638, decode.acc_seg: 92.9333, aux.loss_ce: 0.0995, aux.acc_seg: 89.9819, loss: 0.2633 2023-11-14 00:09:56,968 - mmseg - INFO - Iter [122850/160000] lr: 1.393e-05, eta: 2:31:58, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1696, decode.acc_seg: 92.8903, aux.loss_ce: 0.1031, aux.acc_seg: 89.9612, loss: 0.2727 2023-11-14 00:10:08,611 - mmseg - INFO - Iter [122900/160000] lr: 1.391e-05, eta: 2:31:45, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1742, decode.acc_seg: 92.6347, aux.loss_ce: 0.1041, aux.acc_seg: 89.6517, loss: 0.2784 2023-11-14 00:10:21,733 - mmseg - INFO - Iter [122950/160000] lr: 1.389e-05, eta: 2:31:33, time: 0.262, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1614, decode.acc_seg: 93.0651, aux.loss_ce: 0.0984, aux.acc_seg: 90.2048, loss: 0.2597 2023-11-14 00:10:33,390 - mmseg - INFO - Saving checkpoint at 123000 iterations 2023-11-14 00:10:36,023 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:10:36,023 - mmseg - INFO - Iter [123000/160000] lr: 1.388e-05, eta: 2:31:22, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1591, decode.acc_seg: 93.2873, aux.loss_ce: 0.0989, aux.acc_seg: 90.2430, loss: 0.2580 2023-11-14 00:10:48,294 - mmseg - INFO - Iter [123050/160000] lr: 1.386e-05, eta: 2:31:09, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1600, decode.acc_seg: 93.1037, aux.loss_ce: 0.0991, aux.acc_seg: 90.0302, loss: 0.2591 2023-11-14 00:11:00,414 - mmseg - INFO - Iter [123100/160000] lr: 1.384e-05, eta: 2:30:57, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1622, decode.acc_seg: 92.9350, aux.loss_ce: 0.0985, aux.acc_seg: 90.1383, loss: 0.2607 2023-11-14 00:11:12,220 - mmseg - INFO - Iter [123150/160000] lr: 1.382e-05, eta: 2:30:45, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1655, decode.acc_seg: 92.9051, aux.loss_ce: 0.1023, aux.acc_seg: 89.8136, loss: 0.2678 2023-11-14 00:11:24,169 - mmseg - INFO - Iter [123200/160000] lr: 1.380e-05, eta: 2:30:32, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1673, decode.acc_seg: 92.8047, aux.loss_ce: 0.1025, aux.acc_seg: 89.5993, loss: 0.2698 2023-11-14 00:11:36,347 - mmseg - INFO - Iter [123250/160000] lr: 1.378e-05, eta: 2:30:20, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1659, decode.acc_seg: 93.0652, aux.loss_ce: 0.1023, aux.acc_seg: 90.0989, loss: 0.2682 2023-11-14 00:11:48,111 - mmseg - INFO - Iter [123300/160000] lr: 1.376e-05, eta: 2:30:08, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1582, decode.acc_seg: 93.3472, aux.loss_ce: 0.0951, aux.acc_seg: 90.7031, loss: 0.2533 2023-11-14 00:12:00,370 - mmseg - INFO - Iter [123350/160000] lr: 1.374e-05, eta: 2:29:55, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1713, decode.acc_seg: 92.5001, aux.loss_ce: 0.1076, aux.acc_seg: 89.0364, loss: 0.2789 2023-11-14 00:12:12,035 - mmseg - INFO - Iter [123400/160000] lr: 1.373e-05, eta: 2:29:43, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1589, decode.acc_seg: 93.0648, aux.loss_ce: 0.0973, aux.acc_seg: 89.9900, loss: 0.2562 2023-11-14 00:12:23,646 - mmseg - INFO - Iter [123450/160000] lr: 1.371e-05, eta: 2:29:30, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1697, decode.acc_seg: 92.7041, aux.loss_ce: 0.1019, aux.acc_seg: 89.7396, loss: 0.2716 2023-11-14 00:12:36,295 - mmseg - INFO - Iter [123500/160000] lr: 1.369e-05, eta: 2:29:18, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1621, decode.acc_seg: 93.1176, aux.loss_ce: 0.0957, aux.acc_seg: 90.5146, loss: 0.2577 2023-11-14 00:12:48,215 - mmseg - INFO - Iter [123550/160000] lr: 1.367e-05, eta: 2:29:06, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1663, decode.acc_seg: 92.8021, aux.loss_ce: 0.1028, aux.acc_seg: 89.6046, loss: 0.2692 2023-11-14 00:13:00,113 - mmseg - INFO - Iter [123600/160000] lr: 1.365e-05, eta: 2:28:54, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1673, decode.acc_seg: 92.7377, aux.loss_ce: 0.1017, aux.acc_seg: 89.9483, loss: 0.2690 2023-11-14 00:13:13,202 - mmseg - INFO - Iter [123650/160000] lr: 1.363e-05, eta: 2:28:41, time: 0.261, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1720, decode.acc_seg: 92.9136, aux.loss_ce: 0.1026, aux.acc_seg: 89.9596, loss: 0.2745 2023-11-14 00:13:25,054 - mmseg - INFO - Iter [123700/160000] lr: 1.361e-05, eta: 2:28:29, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1736, decode.acc_seg: 92.6121, aux.loss_ce: 0.1022, aux.acc_seg: 89.7888, loss: 0.2757 2023-11-14 00:13:36,895 - mmseg - INFO - Iter [123750/160000] lr: 1.359e-05, eta: 2:28:17, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1624, decode.acc_seg: 92.9102, aux.loss_ce: 0.1000, aux.acc_seg: 89.8315, loss: 0.2624 2023-11-14 00:13:50,786 - mmseg - INFO - Iter [123800/160000] lr: 1.358e-05, eta: 2:28:05, time: 0.278, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1694, decode.acc_seg: 92.8020, aux.loss_ce: 0.1006, aux.acc_seg: 89.8921, loss: 0.2700 2023-11-14 00:14:02,424 - mmseg - INFO - Iter [123850/160000] lr: 1.356e-05, eta: 2:27:52, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1686, decode.acc_seg: 92.7505, aux.loss_ce: 0.1012, aux.acc_seg: 89.9593, loss: 0.2697 2023-11-14 00:14:15,654 - mmseg - INFO - Iter [123900/160000] lr: 1.354e-05, eta: 2:27:40, time: 0.265, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1688, decode.acc_seg: 92.5663, aux.loss_ce: 0.1022, aux.acc_seg: 89.7529, loss: 0.2710 2023-11-14 00:14:27,261 - mmseg - INFO - Iter [123950/160000] lr: 1.352e-05, eta: 2:27:28, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1609, decode.acc_seg: 93.0594, aux.loss_ce: 0.1011, aux.acc_seg: 89.8680, loss: 0.2620 2023-11-14 00:14:38,946 - mmseg - INFO - Saving checkpoint at 124000 iterations 2023-11-14 00:14:41,514 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:14:41,514 - mmseg - INFO - Iter [124000/160000] lr: 1.350e-05, eta: 2:27:16, time: 0.285, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1653, decode.acc_seg: 93.0410, aux.loss_ce: 0.0989, aux.acc_seg: 90.1931, loss: 0.2643 2023-11-14 00:14:55,090 - mmseg - INFO - Iter [124050/160000] lr: 1.348e-05, eta: 2:27:04, time: 0.271, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1682, decode.acc_seg: 92.8083, aux.loss_ce: 0.1033, aux.acc_seg: 89.9503, loss: 0.2714 2023-11-14 00:15:07,782 - mmseg - INFO - Iter [124100/160000] lr: 1.346e-05, eta: 2:26:52, time: 0.254, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1602, decode.acc_seg: 93.1171, aux.loss_ce: 0.0954, aux.acc_seg: 90.5084, loss: 0.2555 2023-11-14 00:15:19,623 - mmseg - INFO - Iter [124150/160000] lr: 1.344e-05, eta: 2:26:40, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1565, decode.acc_seg: 93.2290, aux.loss_ce: 0.0964, aux.acc_seg: 90.4038, loss: 0.2529 2023-11-14 00:15:31,437 - mmseg - INFO - Iter [124200/160000] lr: 1.343e-05, eta: 2:26:27, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1620, decode.acc_seg: 93.0757, aux.loss_ce: 0.1003, aux.acc_seg: 89.8822, loss: 0.2623 2023-11-14 00:15:43,074 - mmseg - INFO - Iter [124250/160000] lr: 1.341e-05, eta: 2:26:15, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1657, decode.acc_seg: 92.9363, aux.loss_ce: 0.1024, aux.acc_seg: 89.9173, loss: 0.2680 2023-11-14 00:15:54,882 - mmseg - INFO - Iter [124300/160000] lr: 1.339e-05, eta: 2:26:03, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1631, decode.acc_seg: 92.8778, aux.loss_ce: 0.1008, aux.acc_seg: 89.7071, loss: 0.2640 2023-11-14 00:16:06,501 - mmseg - INFO - Iter [124350/160000] lr: 1.337e-05, eta: 2:25:50, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1685, decode.acc_seg: 93.0685, aux.loss_ce: 0.1029, aux.acc_seg: 90.2055, loss: 0.2714 2023-11-14 00:16:18,750 - mmseg - INFO - Iter [124400/160000] lr: 1.335e-05, eta: 2:25:38, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1710, decode.acc_seg: 92.7355, aux.loss_ce: 0.1024, aux.acc_seg: 89.7888, loss: 0.2734 2023-11-14 00:16:30,383 - mmseg - INFO - Iter [124450/160000] lr: 1.333e-05, eta: 2:25:25, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1723, decode.acc_seg: 92.4711, aux.loss_ce: 0.1065, aux.acc_seg: 89.0518, loss: 0.2789 2023-11-14 00:16:42,415 - mmseg - INFO - Iter [124500/160000] lr: 1.331e-05, eta: 2:25:13, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1628, decode.acc_seg: 93.1452, aux.loss_ce: 0.1001, aux.acc_seg: 90.2564, loss: 0.2629 2023-11-14 00:16:54,030 - mmseg - INFO - Iter [124550/160000] lr: 1.329e-05, eta: 2:25:01, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1677, decode.acc_seg: 92.8382, aux.loss_ce: 0.1003, aux.acc_seg: 89.8306, loss: 0.2679 2023-11-14 00:17:05,671 - mmseg - INFO - Iter [124600/160000] lr: 1.328e-05, eta: 2:24:48, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1617, decode.acc_seg: 93.0870, aux.loss_ce: 0.0988, aux.acc_seg: 90.1707, loss: 0.2605 2023-11-14 00:17:17,270 - mmseg - INFO - Iter [124650/160000] lr: 1.326e-05, eta: 2:24:36, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1741, decode.acc_seg: 92.6736, aux.loss_ce: 0.1035, aux.acc_seg: 89.8894, loss: 0.2776 2023-11-14 00:17:29,102 - mmseg - INFO - Iter [124700/160000] lr: 1.324e-05, eta: 2:24:23, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1736, decode.acc_seg: 92.4907, aux.loss_ce: 0.1037, aux.acc_seg: 89.7107, loss: 0.2773 2023-11-14 00:17:40,997 - mmseg - INFO - Iter [124750/160000] lr: 1.322e-05, eta: 2:24:11, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1677, decode.acc_seg: 92.8617, aux.loss_ce: 0.1021, aux.acc_seg: 89.8694, loss: 0.2698 2023-11-14 00:17:52,595 - mmseg - INFO - Iter [124800/160000] lr: 1.320e-05, eta: 2:23:58, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1653, decode.acc_seg: 92.6793, aux.loss_ce: 0.1005, aux.acc_seg: 89.8675, loss: 0.2658 2023-11-14 00:18:04,285 - mmseg - INFO - Iter [124850/160000] lr: 1.318e-05, eta: 2:23:46, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1670, decode.acc_seg: 92.9899, aux.loss_ce: 0.0996, aux.acc_seg: 90.3873, loss: 0.2666 2023-11-14 00:18:16,152 - mmseg - INFO - Iter [124900/160000] lr: 1.316e-05, eta: 2:23:34, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1647, decode.acc_seg: 92.9470, aux.loss_ce: 0.1043, aux.acc_seg: 89.5242, loss: 0.2689 2023-11-14 00:18:28,367 - mmseg - INFO - Iter [124950/160000] lr: 1.314e-05, eta: 2:23:21, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1640, decode.acc_seg: 92.8633, aux.loss_ce: 0.1028, aux.acc_seg: 89.6384, loss: 0.2668 2023-11-14 00:18:40,842 - mmseg - INFO - Saving checkpoint at 125000 iterations 2023-11-14 00:18:43,490 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:18:43,490 - mmseg - INFO - Iter [125000/160000] lr: 1.313e-05, eta: 2:23:10, time: 0.303, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1554, decode.acc_seg: 93.4113, aux.loss_ce: 0.0940, aux.acc_seg: 90.6890, loss: 0.2494 2023-11-14 00:18:57,587 - mmseg - INFO - Iter [125050/160000] lr: 1.311e-05, eta: 2:22:58, time: 0.282, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1523, decode.acc_seg: 93.2507, aux.loss_ce: 0.0951, aux.acc_seg: 90.2090, loss: 0.2474 2023-11-14 00:19:09,383 - mmseg - INFO - Iter [125100/160000] lr: 1.309e-05, eta: 2:22:46, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1622, decode.acc_seg: 92.9079, aux.loss_ce: 0.1007, aux.acc_seg: 89.9019, loss: 0.2629 2023-11-14 00:19:22,124 - mmseg - INFO - Iter [125150/160000] lr: 1.307e-05, eta: 2:22:33, time: 0.254, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1618, decode.acc_seg: 93.0510, aux.loss_ce: 0.0981, aux.acc_seg: 90.0492, loss: 0.2599 2023-11-14 00:19:35,124 - mmseg - INFO - Iter [125200/160000] lr: 1.305e-05, eta: 2:22:21, time: 0.261, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1807, decode.acc_seg: 92.4255, aux.loss_ce: 0.1076, aux.acc_seg: 89.3793, loss: 0.2883 2023-11-14 00:19:46,942 - mmseg - INFO - Iter [125250/160000] lr: 1.303e-05, eta: 2:22:09, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1643, decode.acc_seg: 93.0685, aux.loss_ce: 0.0994, aux.acc_seg: 90.2856, loss: 0.2637 2023-11-14 00:19:58,732 - mmseg - INFO - Iter [125300/160000] lr: 1.301e-05, eta: 2:21:57, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1592, decode.acc_seg: 92.9378, aux.loss_ce: 0.0986, aux.acc_seg: 90.1078, loss: 0.2578 2023-11-14 00:20:10,836 - mmseg - INFO - Iter [125350/160000] lr: 1.299e-05, eta: 2:21:44, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1729, decode.acc_seg: 92.7612, aux.loss_ce: 0.1042, aux.acc_seg: 89.8656, loss: 0.2770 2023-11-14 00:20:22,627 - mmseg - INFO - Iter [125400/160000] lr: 1.298e-05, eta: 2:21:32, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1561, decode.acc_seg: 93.3490, aux.loss_ce: 0.0961, aux.acc_seg: 90.3737, loss: 0.2522 2023-11-14 00:20:34,986 - mmseg - INFO - Iter [125450/160000] lr: 1.296e-05, eta: 2:21:20, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1649, decode.acc_seg: 92.9434, aux.loss_ce: 0.1012, aux.acc_seg: 90.0140, loss: 0.2660 2023-11-14 00:20:47,426 - mmseg - INFO - Iter [125500/160000] lr: 1.294e-05, eta: 2:21:07, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1659, decode.acc_seg: 93.0234, aux.loss_ce: 0.1015, aux.acc_seg: 89.9099, loss: 0.2673 2023-11-14 00:20:59,094 - mmseg - INFO - Iter [125550/160000] lr: 1.292e-05, eta: 2:20:55, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1666, decode.acc_seg: 92.8434, aux.loss_ce: 0.1028, aux.acc_seg: 89.7412, loss: 0.2694 2023-11-14 00:21:11,701 - mmseg - INFO - Iter [125600/160000] lr: 1.290e-05, eta: 2:20:43, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1663, decode.acc_seg: 92.8975, aux.loss_ce: 0.1006, aux.acc_seg: 89.9947, loss: 0.2669 2023-11-14 00:21:23,312 - mmseg - INFO - Iter [125650/160000] lr: 1.288e-05, eta: 2:20:30, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1653, decode.acc_seg: 93.0586, aux.loss_ce: 0.1009, aux.acc_seg: 90.0745, loss: 0.2661 2023-11-14 00:21:35,516 - mmseg - INFO - Iter [125700/160000] lr: 1.286e-05, eta: 2:20:18, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1562, decode.acc_seg: 93.1603, aux.loss_ce: 0.0982, aux.acc_seg: 90.1170, loss: 0.2544 2023-11-14 00:21:48,000 - mmseg - INFO - Iter [125750/160000] lr: 1.284e-05, eta: 2:20:06, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1486, decode.acc_seg: 93.6807, aux.loss_ce: 0.0904, aux.acc_seg: 91.0302, loss: 0.2390 2023-11-14 00:21:59,667 - mmseg - INFO - Iter [125800/160000] lr: 1.283e-05, eta: 2:19:53, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1671, decode.acc_seg: 92.8532, aux.loss_ce: 0.1036, aux.acc_seg: 89.7990, loss: 0.2707 2023-11-14 00:22:11,363 - mmseg - INFO - Iter [125850/160000] lr: 1.281e-05, eta: 2:19:41, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1606, decode.acc_seg: 93.0690, aux.loss_ce: 0.0948, aux.acc_seg: 90.5229, loss: 0.2554 2023-11-14 00:22:23,489 - mmseg - INFO - Iter [125900/160000] lr: 1.279e-05, eta: 2:19:29, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1676, decode.acc_seg: 92.6302, aux.loss_ce: 0.1040, aux.acc_seg: 89.6947, loss: 0.2716 2023-11-14 00:22:35,174 - mmseg - INFO - Iter [125950/160000] lr: 1.277e-05, eta: 2:19:16, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1554, decode.acc_seg: 93.2168, aux.loss_ce: 0.0944, aux.acc_seg: 90.4124, loss: 0.2498 2023-11-14 00:22:47,130 - mmseg - INFO - Saving checkpoint at 126000 iterations 2023-11-14 00:22:50,197 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:22:50,197 - mmseg - INFO - Iter [126000/160000] lr: 1.275e-05, eta: 2:19:05, time: 0.300, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1655, decode.acc_seg: 92.8561, aux.loss_ce: 0.0979, aux.acc_seg: 90.2005, loss: 0.2634 2023-11-14 00:23:01,888 - mmseg - INFO - Iter [126050/160000] lr: 1.273e-05, eta: 2:18:52, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1714, decode.acc_seg: 92.9557, aux.loss_ce: 0.1048, aux.acc_seg: 89.9878, loss: 0.2761 2023-11-14 00:23:14,178 - mmseg - INFO - Iter [126100/160000] lr: 1.271e-05, eta: 2:18:40, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1645, decode.acc_seg: 92.9035, aux.loss_ce: 0.0989, aux.acc_seg: 90.1972, loss: 0.2634 2023-11-14 00:23:26,019 - mmseg - INFO - Iter [126150/160000] lr: 1.269e-05, eta: 2:18:28, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1705, decode.acc_seg: 92.6149, aux.loss_ce: 0.1017, aux.acc_seg: 90.0083, loss: 0.2722 2023-11-14 00:23:37,927 - mmseg - INFO - Iter [126200/160000] lr: 1.268e-05, eta: 2:18:15, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1595, decode.acc_seg: 93.1767, aux.loss_ce: 0.0981, aux.acc_seg: 90.2477, loss: 0.2576 2023-11-14 00:23:49,549 - mmseg - INFO - Iter [126250/160000] lr: 1.266e-05, eta: 2:18:03, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1731, decode.acc_seg: 92.7077, aux.loss_ce: 0.0998, aux.acc_seg: 90.2046, loss: 0.2729 2023-11-14 00:24:01,236 - mmseg - INFO - Iter [126300/160000] lr: 1.264e-05, eta: 2:17:50, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1601, decode.acc_seg: 93.0343, aux.loss_ce: 0.0958, aux.acc_seg: 90.1586, loss: 0.2559 2023-11-14 00:24:15,195 - mmseg - INFO - Iter [126350/160000] lr: 1.262e-05, eta: 2:17:39, time: 0.279, data_time: 0.046, memory: 5958, decode.loss_ce: 0.1699, decode.acc_seg: 92.7654, aux.loss_ce: 0.1023, aux.acc_seg: 89.9191, loss: 0.2722 2023-11-14 00:24:27,468 - mmseg - INFO - Iter [126400/160000] lr: 1.260e-05, eta: 2:17:26, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1649, decode.acc_seg: 93.1706, aux.loss_ce: 0.1017, aux.acc_seg: 90.2744, loss: 0.2667 2023-11-14 00:24:39,560 - mmseg - INFO - Iter [126450/160000] lr: 1.258e-05, eta: 2:17:14, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1748, decode.acc_seg: 92.7045, aux.loss_ce: 0.1051, aux.acc_seg: 89.7673, loss: 0.2799 2023-11-14 00:24:51,910 - mmseg - INFO - Iter [126500/160000] lr: 1.256e-05, eta: 2:17:02, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1667, decode.acc_seg: 92.9744, aux.loss_ce: 0.1005, aux.acc_seg: 90.2276, loss: 0.2672 2023-11-14 00:25:03,969 - mmseg - INFO - Iter [126550/160000] lr: 1.254e-05, eta: 2:16:49, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1578, decode.acc_seg: 93.1007, aux.loss_ce: 0.0946, aux.acc_seg: 90.2906, loss: 0.2524 2023-11-14 00:25:16,403 - mmseg - INFO - Iter [126600/160000] lr: 1.253e-05, eta: 2:16:37, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1657, decode.acc_seg: 92.9838, aux.loss_ce: 0.1000, aux.acc_seg: 90.2396, loss: 0.2656 2023-11-14 00:25:28,170 - mmseg - INFO - Iter [126650/160000] lr: 1.251e-05, eta: 2:16:25, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1606, decode.acc_seg: 93.0409, aux.loss_ce: 0.1001, aux.acc_seg: 89.8280, loss: 0.2606 2023-11-14 00:25:39,831 - mmseg - INFO - Iter [126700/160000] lr: 1.249e-05, eta: 2:16:12, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1604, decode.acc_seg: 92.9846, aux.loss_ce: 0.0971, aux.acc_seg: 90.2444, loss: 0.2574 2023-11-14 00:25:51,697 - mmseg - INFO - Iter [126750/160000] lr: 1.247e-05, eta: 2:16:00, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1660, decode.acc_seg: 92.9720, aux.loss_ce: 0.1002, aux.acc_seg: 89.9779, loss: 0.2663 2023-11-14 00:26:03,350 - mmseg - INFO - Iter [126800/160000] lr: 1.245e-05, eta: 2:15:48, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1670, decode.acc_seg: 92.8438, aux.loss_ce: 0.0990, aux.acc_seg: 90.1511, loss: 0.2660 2023-11-14 00:26:15,061 - mmseg - INFO - Iter [126850/160000] lr: 1.243e-05, eta: 2:15:35, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1728, decode.acc_seg: 92.7463, aux.loss_ce: 0.1038, aux.acc_seg: 89.7760, loss: 0.2766 2023-11-14 00:26:27,909 - mmseg - INFO - Iter [126900/160000] lr: 1.241e-05, eta: 2:15:23, time: 0.256, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1689, decode.acc_seg: 92.8383, aux.loss_ce: 0.1012, aux.acc_seg: 89.9918, loss: 0.2701 2023-11-14 00:26:39,952 - mmseg - INFO - Iter [126950/160000] lr: 1.239e-05, eta: 2:15:11, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1699, decode.acc_seg: 92.7126, aux.loss_ce: 0.1057, aux.acc_seg: 89.7969, loss: 0.2756 2023-11-14 00:26:51,561 - mmseg - INFO - Saving checkpoint at 127000 iterations 2023-11-14 00:26:54,026 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:26:54,026 - mmseg - INFO - Iter [127000/160000] lr: 1.238e-05, eta: 2:14:59, time: 0.281, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1682, decode.acc_seg: 92.8372, aux.loss_ce: 0.1008, aux.acc_seg: 89.8354, loss: 0.2691 2023-11-14 00:27:06,077 - mmseg - INFO - Iter [127050/160000] lr: 1.236e-05, eta: 2:14:47, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1606, decode.acc_seg: 93.1081, aux.loss_ce: 0.0969, aux.acc_seg: 90.2724, loss: 0.2575 2023-11-14 00:27:17,874 - mmseg - INFO - Iter [127100/160000] lr: 1.234e-05, eta: 2:14:34, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1557, decode.acc_seg: 93.3592, aux.loss_ce: 0.0970, aux.acc_seg: 90.4192, loss: 0.2527 2023-11-14 00:27:29,720 - mmseg - INFO - Iter [127150/160000] lr: 1.232e-05, eta: 2:14:22, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1605, decode.acc_seg: 92.9131, aux.loss_ce: 0.0976, aux.acc_seg: 90.0982, loss: 0.2581 2023-11-14 00:27:41,636 - mmseg - INFO - Iter [127200/160000] lr: 1.230e-05, eta: 2:14:09, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1603, decode.acc_seg: 92.9881, aux.loss_ce: 0.0983, aux.acc_seg: 90.2039, loss: 0.2586 2023-11-14 00:27:53,434 - mmseg - INFO - Iter [127250/160000] lr: 1.228e-05, eta: 2:13:57, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1560, decode.acc_seg: 93.1439, aux.loss_ce: 0.0972, aux.acc_seg: 90.1564, loss: 0.2532 2023-11-14 00:28:05,441 - mmseg - INFO - Iter [127300/160000] lr: 1.226e-05, eta: 2:13:45, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1670, decode.acc_seg: 92.9553, aux.loss_ce: 0.1001, aux.acc_seg: 90.0265, loss: 0.2671 2023-11-14 00:28:17,209 - mmseg - INFO - Iter [127350/160000] lr: 1.224e-05, eta: 2:13:32, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1730, decode.acc_seg: 92.5077, aux.loss_ce: 0.1062, aux.acc_seg: 89.0692, loss: 0.2791 2023-11-14 00:28:28,915 - mmseg - INFO - Iter [127400/160000] lr: 1.223e-05, eta: 2:13:20, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1606, decode.acc_seg: 93.0403, aux.loss_ce: 0.0987, aux.acc_seg: 90.1779, loss: 0.2593 2023-11-14 00:28:40,576 - mmseg - INFO - Iter [127450/160000] lr: 1.221e-05, eta: 2:13:07, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1632, decode.acc_seg: 92.9782, aux.loss_ce: 0.0998, aux.acc_seg: 90.0815, loss: 0.2630 2023-11-14 00:28:52,293 - mmseg - INFO - Iter [127500/160000] lr: 1.219e-05, eta: 2:12:55, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1663, decode.acc_seg: 93.0382, aux.loss_ce: 0.0998, aux.acc_seg: 90.1941, loss: 0.2661 2023-11-14 00:29:03,986 - mmseg - INFO - Iter [127550/160000] lr: 1.217e-05, eta: 2:12:43, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1658, decode.acc_seg: 93.0838, aux.loss_ce: 0.1002, aux.acc_seg: 90.2720, loss: 0.2660 2023-11-14 00:29:18,005 - mmseg - INFO - Iter [127600/160000] lr: 1.215e-05, eta: 2:12:31, time: 0.280, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1636, decode.acc_seg: 92.8188, aux.loss_ce: 0.1014, aux.acc_seg: 89.6919, loss: 0.2651 2023-11-14 00:29:29,720 - mmseg - INFO - Iter [127650/160000] lr: 1.213e-05, eta: 2:12:18, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1642, decode.acc_seg: 93.1705, aux.loss_ce: 0.1026, aux.acc_seg: 90.0059, loss: 0.2667 2023-11-14 00:29:41,509 - mmseg - INFO - Iter [127700/160000] lr: 1.211e-05, eta: 2:12:06, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1552, decode.acc_seg: 93.2155, aux.loss_ce: 0.0924, aux.acc_seg: 90.5510, loss: 0.2477 2023-11-14 00:29:53,312 - mmseg - INFO - Iter [127750/160000] lr: 1.209e-05, eta: 2:11:54, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1620, decode.acc_seg: 93.2326, aux.loss_ce: 0.1039, aux.acc_seg: 89.9768, loss: 0.2658 2023-11-14 00:30:05,079 - mmseg - INFO - Iter [127800/160000] lr: 1.208e-05, eta: 2:11:41, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1674, decode.acc_seg: 92.7441, aux.loss_ce: 0.1068, aux.acc_seg: 89.3445, loss: 0.2742 2023-11-14 00:30:17,052 - mmseg - INFO - Iter [127850/160000] lr: 1.206e-05, eta: 2:11:29, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1564, decode.acc_seg: 93.1728, aux.loss_ce: 0.0958, aux.acc_seg: 90.2013, loss: 0.2522 2023-11-14 00:30:28,699 - mmseg - INFO - Iter [127900/160000] lr: 1.204e-05, eta: 2:11:16, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1656, decode.acc_seg: 93.0915, aux.loss_ce: 0.1010, aux.acc_seg: 90.2958, loss: 0.2666 2023-11-14 00:30:40,733 - mmseg - INFO - Iter [127950/160000] lr: 1.202e-05, eta: 2:11:04, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1661, decode.acc_seg: 93.1173, aux.loss_ce: 0.1006, aux.acc_seg: 90.4030, loss: 0.2667 2023-11-14 00:30:52,394 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-11-14 00:30:54,938 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:30:54,938 - mmseg - INFO - Iter [128000/160000] lr: 1.200e-05, eta: 2:10:52, time: 0.284, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1664, decode.acc_seg: 92.8445, aux.loss_ce: 0.1029, aux.acc_seg: 89.8113, loss: 0.2693 2023-11-14 00:31:08,856 - mmseg - INFO - per class results: 2023-11-14 00:31:08,861 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.4 | 87.82 | | building | 82.98 | 92.64 | | sky | 94.45 | 97.32 | | floor | 82.07 | 89.97 | | tree | 73.63 | 88.07 | | ceiling | 84.56 | 92.56 | | road | 84.75 | 91.79 | | bed | 90.42 | 96.25 | | windowpane | 63.44 | 80.69 | | grass | 65.25 | 78.46 | | cabinet | 60.54 | 74.93 | | sidewalk | 67.81 | 80.22 | | person | 82.15 | 93.79 | | earth | 35.67 | 50.89 | | door | 55.44 | 70.24 | | table | 62.74 | 78.84 | | mountain | 59.45 | 75.71 | | plant | 50.43 | 61.35 | | curtain | 73.88 | 85.68 | | chair | 60.36 | 74.64 | | car | 85.33 | 93.12 | | water | 47.09 | 59.71 | | painting | 70.08 | 87.9 | | sofa | 67.88 | 80.0 | | shelf | 41.2 | 57.91 | | house | 47.89 | 72.24 | | sea | 55.34 | 78.4 | | mirror | 70.66 | 75.45 | | rug | 62.77 | 76.33 | | field | 25.55 | 40.11 | | armchair | 46.9 | 70.25 | | seat | 62.95 | 83.34 | | fence | 48.39 | 63.57 | | desk | 50.69 | 65.52 | | rock | 47.15 | 74.62 | | wardrobe | 51.31 | 70.13 | | lamp | 66.55 | 78.38 | | bathtub | 77.07 | 81.59 | | railing | 36.83 | 49.77 | | cushion | 61.84 | 77.12 | | base | 19.3 | 23.8 | | box | 29.64 | 40.84 | | column | 50.74 | 63.1 | | signboard | 38.51 | 52.0 | | chest of drawers | 48.0 | 73.01 | | counter | 32.9 | 42.8 | | sand | 45.03 | 74.46 | | sink | 71.46 | 81.03 | | skyscraper | 58.65 | 75.95 | | fireplace | 75.14 | 88.88 | | refrigerator | 80.35 | 86.48 | | grandstand | 52.9 | 79.87 | | path | 26.65 | 43.61 | | stairs | 34.18 | 43.38 | | runway | 63.35 | 85.43 | | case | 37.53 | 48.71 | | pool table | 93.45 | 97.53 | | pillow | 58.32 | 65.04 | | screen door | 71.86 | 81.89 | | stairway | 28.88 | 34.17 | | river | 6.86 | 19.17 | | bridge | 69.73 | 83.51 | | bookcase | 40.11 | 59.17 | | blind | 43.59 | 49.28 | | coffee table | 58.93 | 81.96 | | toilet | 86.07 | 91.47 | | flower | 44.98 | 56.06 | | book | 48.64 | 73.08 | | hill | 6.49 | 10.25 | | bench | 46.51 | 54.66 | | countertop | 53.93 | 68.63 | | stove | 78.27 | 82.66 | | palm | 53.4 | 72.34 | | kitchen island | 34.97 | 60.11 | | computer | 70.49 | 78.4 | | swivel chair | 45.01 | 57.79 | | boat | 44.73 | 55.18 | | bar | 31.83 | 43.03 | | arcade machine | 76.29 | 81.98 | | hovel | 21.94 | 23.6 | | bus | 92.56 | 97.22 | | towel | 62.24 | 75.44 | | light | 56.28 | 65.92 | | truck | 42.54 | 52.96 | | tower | 25.95 | 31.61 | | chandelier | 71.76 | 85.2 | | awning | 32.68 | 40.73 | | streetlight | 31.29 | 41.01 | | booth | 43.56 | 45.04 | | television receiver | 73.35 | 80.84 | | airplane | 60.52 | 68.86 | | dirt track | 12.2 | 31.85 | | apparel | 49.01 | 60.21 | | pole | 25.34 | 39.88 | | land | 6.34 | 9.28 | | bannister | 16.29 | 20.22 | | escalator | 33.78 | 46.72 | | ottoman | 54.63 | 73.38 | | bottle | 38.96 | 64.93 | | buffet | 27.42 | 33.8 | | poster | 32.09 | 41.2 | | stage | 21.97 | 28.91 | | van | 43.59 | 59.1 | | ship | 19.08 | 28.42 | | fountain | 19.9 | 21.11 | | conveyer belt | 60.55 | 85.33 | | canopy | 23.0 | 34.85 | | washer | 73.58 | 76.09 | | plaything | 25.75 | 36.63 | | swimming pool | 46.84 | 64.86 | | stool | 43.73 | 61.59 | | barrel | 44.27 | 71.1 | | basket | 34.54 | 43.11 | | waterfall | 47.67 | 57.45 | | tent | 94.81 | 98.46 | | bag | 14.2 | 16.49 | | minibike | 68.99 | 86.43 | | cradle | 83.79 | 93.44 | | oven | 41.74 | 67.79 | | ball | 49.37 | 55.21 | | food | 57.3 | 68.87 | | step | 11.05 | 13.57 | | tank | 57.08 | 64.5 | | trade name | 28.26 | 32.25 | | microwave | 72.81 | 80.78 | | pot | 46.61 | 54.3 | | animal | 67.37 | 70.69 | | bicycle | 56.52 | 75.7 | | lake | 32.13 | 37.41 | | dishwasher | 76.19 | 81.87 | | screen | 50.39 | 70.99 | | blanket | 20.28 | 23.21 | | sculpture | 65.11 | 83.58 | | hood | 58.86 | 68.87 | | sconce | 50.13 | 63.55 | | vase | 44.54 | 59.21 | | traffic light | 35.11 | 57.64 | | tray | 9.78 | 21.81 | | ashcan | 47.84 | 57.32 | | fan | 65.29 | 78.1 | | pier | 30.96 | 43.9 | | crt screen | 5.73 | 18.56 | | plate | 55.34 | 70.34 | | monitor | 9.23 | 10.71 | | bulletin board | 38.32 | 56.24 | | shower | 4.1 | 6.55 | | radiator | 58.71 | 66.99 | | glass | 15.49 | 16.9 | | clock | 41.59 | 53.41 | | flag | 44.07 | 47.39 | +---------------------+-------+-------+ 2023-11-14 00:31:08,861 - mmseg - INFO - Summary: 2023-11-14 00:31:08,862 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 83.4 | 50.09 | 62.06 | +------+-------+-------+ 2023-11-14 00:31:08,862 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:31:08,863 - mmseg - INFO - Iter(val) [250] aAcc: 0.8340, mIoU: 0.5009, mAcc: 0.6206, IoU.wall: 0.7840, IoU.building: 0.8298, IoU.sky: 0.9445, IoU.floor: 0.8207, IoU.tree: 0.7363, IoU.ceiling: 0.8456, IoU.road: 0.8475, IoU.bed : 0.9042, IoU.windowpane: 0.6344, IoU.grass: 0.6525, IoU.cabinet: 0.6054, IoU.sidewalk: 0.6781, IoU.person: 0.8215, IoU.earth: 0.3567, IoU.door: 0.5544, IoU.table: 0.6274, IoU.mountain: 0.5945, IoU.plant: 0.5043, IoU.curtain: 0.7388, IoU.chair: 0.6036, IoU.car: 0.8533, IoU.water: 0.4709, IoU.painting: 0.7008, IoU.sofa: 0.6788, IoU.shelf: 0.4120, IoU.house: 0.4789, IoU.sea: 0.5534, IoU.mirror: 0.7066, IoU.rug: 0.6277, IoU.field: 0.2555, IoU.armchair: 0.4690, IoU.seat: 0.6295, IoU.fence: 0.4839, IoU.desk: 0.5069, IoU.rock: 0.4715, IoU.wardrobe: 0.5131, IoU.lamp: 0.6655, IoU.bathtub: 0.7707, IoU.railing: 0.3683, IoU.cushion: 0.6184, IoU.base: 0.1930, IoU.box: 0.2964, IoU.column: 0.5074, IoU.signboard: 0.3851, IoU.chest of drawers: 0.4800, IoU.counter: 0.3290, IoU.sand: 0.4503, IoU.sink: 0.7146, IoU.skyscraper: 0.5865, IoU.fireplace: 0.7514, IoU.refrigerator: 0.8035, IoU.grandstand: 0.5290, IoU.path: 0.2665, IoU.stairs: 0.3418, IoU.runway: 0.6335, IoU.case: 0.3753, IoU.pool table: 0.9345, IoU.pillow: 0.5832, IoU.screen door: 0.7186, IoU.stairway: 0.2888, IoU.river: 0.0686, IoU.bridge: 0.6973, IoU.bookcase: 0.4011, IoU.blind: 0.4359, IoU.coffee table: 0.5893, IoU.toilet: 0.8607, IoU.flower: 0.4498, IoU.book: 0.4864, IoU.hill: 0.0649, IoU.bench: 0.4651, IoU.countertop: 0.5393, IoU.stove: 0.7827, IoU.palm: 0.5340, IoU.kitchen island: 0.3497, IoU.computer: 0.7049, IoU.swivel chair: 0.4501, IoU.boat: 0.4473, IoU.bar: 0.3183, IoU.arcade machine: 0.7629, IoU.hovel: 0.2194, IoU.bus: 0.9256, IoU.towel: 0.6224, IoU.light: 0.5628, IoU.truck: 0.4254, IoU.tower: 0.2595, IoU.chandelier: 0.7176, IoU.awning: 0.3268, IoU.streetlight: 0.3129, IoU.booth: 0.4356, IoU.television receiver: 0.7335, IoU.airplane: 0.6052, IoU.dirt track: 0.1220, IoU.apparel: 0.4901, IoU.pole: 0.2534, IoU.land: 0.0634, IoU.bannister: 0.1629, IoU.escalator: 0.3378, IoU.ottoman: 0.5463, IoU.bottle: 0.3896, IoU.buffet: 0.2742, IoU.poster: 0.3209, IoU.stage: 0.2197, IoU.van: 0.4359, IoU.ship: 0.1908, IoU.fountain: 0.1990, IoU.conveyer belt: 0.6055, IoU.canopy: 0.2300, IoU.washer: 0.7358, IoU.plaything: 0.2575, IoU.swimming pool: 0.4684, IoU.stool: 0.4373, IoU.barrel: 0.4427, IoU.basket: 0.3454, IoU.waterfall: 0.4767, IoU.tent: 0.9481, IoU.bag: 0.1420, IoU.minibike: 0.6899, IoU.cradle: 0.8379, IoU.oven: 0.4174, IoU.ball: 0.4937, IoU.food: 0.5730, IoU.step: 0.1105, IoU.tank: 0.5708, IoU.trade name: 0.2826, IoU.microwave: 0.7281, IoU.pot: 0.4661, IoU.animal: 0.6737, IoU.bicycle: 0.5652, IoU.lake: 0.3213, IoU.dishwasher: 0.7619, IoU.screen: 0.5039, IoU.blanket: 0.2028, IoU.sculpture: 0.6511, IoU.hood: 0.5886, IoU.sconce: 0.5013, IoU.vase: 0.4454, IoU.traffic light: 0.3511, IoU.tray: 0.0978, IoU.ashcan: 0.4784, IoU.fan: 0.6529, IoU.pier: 0.3096, IoU.crt screen: 0.0573, IoU.plate: 0.5534, IoU.monitor: 0.0923, IoU.bulletin board: 0.3832, IoU.shower: 0.0410, IoU.radiator: 0.5871, IoU.glass: 0.1549, IoU.clock: 0.4159, IoU.flag: 0.4407, Acc.wall: 0.8782, Acc.building: 0.9264, Acc.sky: 0.9732, Acc.floor: 0.8997, Acc.tree: 0.8807, Acc.ceiling: 0.9256, Acc.road: 0.9179, Acc.bed : 0.9625, Acc.windowpane: 0.8069, Acc.grass: 0.7846, Acc.cabinet: 0.7493, Acc.sidewalk: 0.8022, Acc.person: 0.9379, Acc.earth: 0.5089, Acc.door: 0.7024, Acc.table: 0.7884, Acc.mountain: 0.7571, Acc.plant: 0.6135, Acc.curtain: 0.8568, Acc.chair: 0.7464, Acc.car: 0.9312, Acc.water: 0.5971, Acc.painting: 0.8790, Acc.sofa: 0.8000, Acc.shelf: 0.5791, Acc.house: 0.7224, Acc.sea: 0.7840, Acc.mirror: 0.7545, Acc.rug: 0.7633, Acc.field: 0.4011, Acc.armchair: 0.7025, Acc.seat: 0.8334, Acc.fence: 0.6357, Acc.desk: 0.6552, Acc.rock: 0.7462, Acc.wardrobe: 0.7013, Acc.lamp: 0.7838, Acc.bathtub: 0.8159, Acc.railing: 0.4977, Acc.cushion: 0.7712, Acc.base: 0.2380, Acc.box: 0.4084, Acc.column: 0.6310, Acc.signboard: 0.5200, Acc.chest of drawers: 0.7301, Acc.counter: 0.4280, Acc.sand: 0.7446, Acc.sink: 0.8103, Acc.skyscraper: 0.7595, Acc.fireplace: 0.8888, Acc.refrigerator: 0.8648, Acc.grandstand: 0.7987, Acc.path: 0.4361, Acc.stairs: 0.4338, Acc.runway: 0.8543, Acc.case: 0.4871, Acc.pool table: 0.9753, Acc.pillow: 0.6504, Acc.screen door: 0.8189, Acc.stairway: 0.3417, Acc.river: 0.1917, Acc.bridge: 0.8351, Acc.bookcase: 0.5917, Acc.blind: 0.4928, Acc.coffee table: 0.8196, Acc.toilet: 0.9147, Acc.flower: 0.5606, Acc.book: 0.7308, Acc.hill: 0.1025, Acc.bench: 0.5466, Acc.countertop: 0.6863, Acc.stove: 0.8266, Acc.palm: 0.7234, Acc.kitchen island: 0.6011, Acc.computer: 0.7840, Acc.swivel chair: 0.5779, Acc.boat: 0.5518, Acc.bar: 0.4303, Acc.arcade machine: 0.8198, Acc.hovel: 0.2360, Acc.bus: 0.9722, Acc.towel: 0.7544, Acc.light: 0.6592, Acc.truck: 0.5296, Acc.tower: 0.3161, Acc.chandelier: 0.8520, Acc.awning: 0.4073, Acc.streetlight: 0.4101, Acc.booth: 0.4504, Acc.television receiver: 0.8084, Acc.airplane: 0.6886, Acc.dirt track: 0.3185, Acc.apparel: 0.6021, Acc.pole: 0.3988, Acc.land: 0.0928, Acc.bannister: 0.2022, Acc.escalator: 0.4672, Acc.ottoman: 0.7338, Acc.bottle: 0.6493, Acc.buffet: 0.3380, Acc.poster: 0.4120, Acc.stage: 0.2891, Acc.van: 0.5910, Acc.ship: 0.2842, Acc.fountain: 0.2111, Acc.conveyer belt: 0.8533, Acc.canopy: 0.3485, Acc.washer: 0.7609, Acc.plaything: 0.3663, Acc.swimming pool: 0.6486, Acc.stool: 0.6159, Acc.barrel: 0.7110, Acc.basket: 0.4311, Acc.waterfall: 0.5745, Acc.tent: 0.9846, Acc.bag: 0.1649, Acc.minibike: 0.8643, Acc.cradle: 0.9344, Acc.oven: 0.6779, Acc.ball: 0.5521, Acc.food: 0.6887, Acc.step: 0.1357, Acc.tank: 0.6450, Acc.trade name: 0.3225, Acc.microwave: 0.8078, Acc.pot: 0.5430, Acc.animal: 0.7069, Acc.bicycle: 0.7570, Acc.lake: 0.3741, Acc.dishwasher: 0.8187, Acc.screen: 0.7099, Acc.blanket: 0.2321, Acc.sculpture: 0.8358, Acc.hood: 0.6887, Acc.sconce: 0.6355, Acc.vase: 0.5921, Acc.traffic light: 0.5764, Acc.tray: 0.2181, Acc.ashcan: 0.5732, Acc.fan: 0.7810, Acc.pier: 0.4390, Acc.crt screen: 0.1856, Acc.plate: 0.7034, Acc.monitor: 0.1071, Acc.bulletin board: 0.5624, Acc.shower: 0.0655, Acc.radiator: 0.6699, Acc.glass: 0.1690, Acc.clock: 0.5341, Acc.flag: 0.4739 2023-11-14 00:31:21,185 - mmseg - INFO - Iter [128050/160000] lr: 1.198e-05, eta: 2:10:43, time: 0.524, data_time: 0.283, memory: 5958, decode.loss_ce: 0.1663, decode.acc_seg: 92.7603, aux.loss_ce: 0.0999, aux.acc_seg: 90.0961, loss: 0.2662 2023-11-14 00:31:33,064 - mmseg - INFO - Iter [128100/160000] lr: 1.196e-05, eta: 2:10:31, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1662, decode.acc_seg: 92.9025, aux.loss_ce: 0.1000, aux.acc_seg: 89.8687, loss: 0.2662 2023-11-14 00:31:44,906 - mmseg - INFO - Iter [128150/160000] lr: 1.194e-05, eta: 2:10:19, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1535, decode.acc_seg: 93.2747, aux.loss_ce: 0.0938, aux.acc_seg: 90.3953, loss: 0.2473 2023-11-14 00:31:57,511 - mmseg - INFO - Iter [128200/160000] lr: 1.193e-05, eta: 2:10:07, time: 0.252, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1679, decode.acc_seg: 92.9853, aux.loss_ce: 0.1023, aux.acc_seg: 90.1129, loss: 0.2702 2023-11-14 00:32:09,268 - mmseg - INFO - Iter [128250/160000] lr: 1.191e-05, eta: 2:09:54, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1569, decode.acc_seg: 93.3352, aux.loss_ce: 0.0966, aux.acc_seg: 90.6285, loss: 0.2535 2023-11-14 00:32:20,920 - mmseg - INFO - Iter [128300/160000] lr: 1.189e-05, eta: 2:09:42, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1661, decode.acc_seg: 92.7800, aux.loss_ce: 0.1023, aux.acc_seg: 89.7121, loss: 0.2685 2023-11-14 00:32:33,399 - mmseg - INFO - Iter [128350/160000] lr: 1.187e-05, eta: 2:09:29, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1567, decode.acc_seg: 93.3758, aux.loss_ce: 0.0969, aux.acc_seg: 90.4692, loss: 0.2537 2023-11-14 00:32:45,474 - mmseg - INFO - Iter [128400/160000] lr: 1.185e-05, eta: 2:09:17, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1718, decode.acc_seg: 92.7907, aux.loss_ce: 0.1056, aux.acc_seg: 89.7256, loss: 0.2774 2023-11-14 00:32:57,104 - mmseg - INFO - Iter [128450/160000] lr: 1.183e-05, eta: 2:09:05, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1575, decode.acc_seg: 93.3413, aux.loss_ce: 0.0970, aux.acc_seg: 90.4008, loss: 0.2546 2023-11-14 00:33:09,529 - mmseg - INFO - Iter [128500/160000] lr: 1.181e-05, eta: 2:08:52, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1651, decode.acc_seg: 92.8649, aux.loss_ce: 0.1013, aux.acc_seg: 90.0227, loss: 0.2664 2023-11-14 00:33:21,199 - mmseg - INFO - Iter [128550/160000] lr: 1.179e-05, eta: 2:08:40, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1626, decode.acc_seg: 93.0571, aux.loss_ce: 0.0982, aux.acc_seg: 90.2326, loss: 0.2607 2023-11-14 00:33:32,973 - mmseg - INFO - Iter [128600/160000] lr: 1.178e-05, eta: 2:08:28, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1671, decode.acc_seg: 92.8264, aux.loss_ce: 0.1019, aux.acc_seg: 89.8341, loss: 0.2690 2023-11-14 00:33:45,764 - mmseg - INFO - Iter [128650/160000] lr: 1.176e-05, eta: 2:08:16, time: 0.256, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1721, decode.acc_seg: 92.6356, aux.loss_ce: 0.1041, aux.acc_seg: 89.5242, loss: 0.2762 2023-11-14 00:33:57,492 - mmseg - INFO - Iter [128700/160000] lr: 1.174e-05, eta: 2:08:03, time: 0.235, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1651, decode.acc_seg: 92.7862, aux.loss_ce: 0.1041, aux.acc_seg: 89.5136, loss: 0.2692 2023-11-14 00:34:09,592 - mmseg - INFO - Iter [128750/160000] lr: 1.172e-05, eta: 2:07:51, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1681, decode.acc_seg: 92.8403, aux.loss_ce: 0.1037, aux.acc_seg: 89.6424, loss: 0.2718 2023-11-14 00:34:21,421 - mmseg - INFO - Iter [128800/160000] lr: 1.170e-05, eta: 2:07:38, time: 0.237, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1651, decode.acc_seg: 92.9859, aux.loss_ce: 0.0987, aux.acc_seg: 90.1142, loss: 0.2638 2023-11-14 00:34:35,449 - mmseg - INFO - Iter [128850/160000] lr: 1.168e-05, eta: 2:07:27, time: 0.281, data_time: 0.050, memory: 5958, decode.loss_ce: 0.1687, decode.acc_seg: 92.8962, aux.loss_ce: 0.1030, aux.acc_seg: 89.8560, loss: 0.2717 2023-11-14 00:34:47,749 - mmseg - INFO - Iter [128900/160000] lr: 1.166e-05, eta: 2:07:14, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1665, decode.acc_seg: 92.9211, aux.loss_ce: 0.1032, aux.acc_seg: 89.7269, loss: 0.2697 2023-11-14 00:34:59,376 - mmseg - INFO - Iter [128950/160000] lr: 1.164e-05, eta: 2:07:02, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1674, decode.acc_seg: 92.7607, aux.loss_ce: 0.0998, aux.acc_seg: 90.1537, loss: 0.2672 2023-11-14 00:35:11,475 - mmseg - INFO - Saving checkpoint at 129000 iterations 2023-11-14 00:35:14,176 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:35:14,176 - mmseg - INFO - Iter [129000/160000] lr: 1.163e-05, eta: 2:06:50, time: 0.296, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1530, decode.acc_seg: 93.4332, aux.loss_ce: 0.0932, aux.acc_seg: 90.6171, loss: 0.2462 2023-11-14 00:35:25,938 - mmseg - INFO - Iter [129050/160000] lr: 1.161e-05, eta: 2:06:38, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1615, decode.acc_seg: 93.1189, aux.loss_ce: 0.1020, aux.acc_seg: 89.8999, loss: 0.2635 2023-11-14 00:35:37,651 - mmseg - INFO - Iter [129100/160000] lr: 1.159e-05, eta: 2:06:25, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1659, decode.acc_seg: 92.7927, aux.loss_ce: 0.1002, aux.acc_seg: 89.7047, loss: 0.2661 2023-11-14 00:35:49,254 - mmseg - INFO - Iter [129150/160000] lr: 1.157e-05, eta: 2:06:13, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1676, decode.acc_seg: 92.7564, aux.loss_ce: 0.1025, aux.acc_seg: 89.9308, loss: 0.2701 2023-11-14 00:36:03,224 - mmseg - INFO - Iter [129200/160000] lr: 1.155e-05, eta: 2:06:01, time: 0.279, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1624, decode.acc_seg: 92.9456, aux.loss_ce: 0.0967, aux.acc_seg: 90.2646, loss: 0.2591 2023-11-14 00:36:15,163 - mmseg - INFO - Iter [129250/160000] lr: 1.153e-05, eta: 2:05:49, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1617, decode.acc_seg: 93.1306, aux.loss_ce: 0.0996, aux.acc_seg: 90.3830, loss: 0.2613 2023-11-14 00:36:26,953 - mmseg - INFO - Iter [129300/160000] lr: 1.151e-05, eta: 2:05:36, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1621, decode.acc_seg: 93.0058, aux.loss_ce: 0.0986, aux.acc_seg: 90.1508, loss: 0.2608 2023-11-14 00:36:38,578 - mmseg - INFO - Iter [129350/160000] lr: 1.149e-05, eta: 2:05:24, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1619, decode.acc_seg: 93.0681, aux.loss_ce: 0.0985, aux.acc_seg: 90.0699, loss: 0.2605 2023-11-14 00:36:50,406 - mmseg - INFO - Iter [129400/160000] lr: 1.148e-05, eta: 2:05:12, time: 0.237, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1618, decode.acc_seg: 92.8442, aux.loss_ce: 0.0992, aux.acc_seg: 89.9560, loss: 0.2610 2023-11-14 00:37:02,458 - mmseg - INFO - Iter [129450/160000] lr: 1.146e-05, eta: 2:04:59, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1666, decode.acc_seg: 92.6886, aux.loss_ce: 0.1049, aux.acc_seg: 89.4072, loss: 0.2714 2023-11-14 00:37:14,086 - mmseg - INFO - Iter [129500/160000] lr: 1.144e-05, eta: 2:04:47, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1618, decode.acc_seg: 93.1343, aux.loss_ce: 0.0974, aux.acc_seg: 90.4513, loss: 0.2592 2023-11-14 00:37:25,984 - mmseg - INFO - Iter [129550/160000] lr: 1.142e-05, eta: 2:04:34, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1675, decode.acc_seg: 92.9716, aux.loss_ce: 0.1054, aux.acc_seg: 89.7002, loss: 0.2728 2023-11-14 00:37:37,797 - mmseg - INFO - Iter [129600/160000] lr: 1.140e-05, eta: 2:04:22, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1628, decode.acc_seg: 92.9484, aux.loss_ce: 0.0986, aux.acc_seg: 90.0681, loss: 0.2614 2023-11-14 00:37:49,389 - mmseg - INFO - Iter [129650/160000] lr: 1.138e-05, eta: 2:04:10, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1706, decode.acc_seg: 92.6661, aux.loss_ce: 0.1019, aux.acc_seg: 89.9815, loss: 0.2725 2023-11-14 00:38:01,159 - mmseg - INFO - Iter [129700/160000] lr: 1.136e-05, eta: 2:03:57, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1536, decode.acc_seg: 93.3142, aux.loss_ce: 0.0955, aux.acc_seg: 90.4163, loss: 0.2491 2023-11-14 00:38:13,102 - mmseg - INFO - Iter [129750/160000] lr: 1.134e-05, eta: 2:03:45, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1713, decode.acc_seg: 92.7760, aux.loss_ce: 0.1030, aux.acc_seg: 89.9535, loss: 0.2743 2023-11-14 00:38:24,874 - mmseg - INFO - Iter [129800/160000] lr: 1.133e-05, eta: 2:03:32, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1614, decode.acc_seg: 93.2862, aux.loss_ce: 0.0962, aux.acc_seg: 90.5336, loss: 0.2576 2023-11-14 00:38:36,479 - mmseg - INFO - Iter [129850/160000] lr: 1.131e-05, eta: 2:03:20, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1723, decode.acc_seg: 92.6105, aux.loss_ce: 0.1059, aux.acc_seg: 89.5862, loss: 0.2783 2023-11-14 00:38:48,890 - mmseg - INFO - Iter [129900/160000] lr: 1.129e-05, eta: 2:03:08, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1629, decode.acc_seg: 92.9817, aux.loss_ce: 0.1005, aux.acc_seg: 90.0533, loss: 0.2634 2023-11-14 00:39:00,975 - mmseg - INFO - Iter [129950/160000] lr: 1.127e-05, eta: 2:02:55, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1609, decode.acc_seg: 93.0671, aux.loss_ce: 0.0956, aux.acc_seg: 90.3645, loss: 0.2565 2023-11-14 00:39:13,085 - mmseg - INFO - Saving checkpoint at 130000 iterations 2023-11-14 00:39:15,819 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:39:15,819 - mmseg - INFO - Iter [130000/160000] lr: 1.125e-05, eta: 2:02:44, time: 0.297, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1677, decode.acc_seg: 92.7590, aux.loss_ce: 0.1016, aux.acc_seg: 89.7130, loss: 0.2693 2023-11-14 00:39:27,874 - mmseg - INFO - Iter [130050/160000] lr: 1.123e-05, eta: 2:02:31, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1608, decode.acc_seg: 93.0789, aux.loss_ce: 0.0966, aux.acc_seg: 90.2785, loss: 0.2573 2023-11-14 00:39:41,950 - mmseg - INFO - Iter [130100/160000] lr: 1.121e-05, eta: 2:02:20, time: 0.282, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1582, decode.acc_seg: 93.0743, aux.loss_ce: 0.0943, aux.acc_seg: 90.4325, loss: 0.2525 2023-11-14 00:39:53,753 - mmseg - INFO - Iter [130150/160000] lr: 1.119e-05, eta: 2:02:07, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1596, decode.acc_seg: 93.1755, aux.loss_ce: 0.0974, aux.acc_seg: 90.4466, loss: 0.2571 2023-11-14 00:40:06,086 - mmseg - INFO - Iter [130200/160000] lr: 1.118e-05, eta: 2:01:55, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1502, decode.acc_seg: 93.4228, aux.loss_ce: 0.0926, aux.acc_seg: 90.3988, loss: 0.2428 2023-11-14 00:40:17,915 - mmseg - INFO - Iter [130250/160000] lr: 1.116e-05, eta: 2:01:43, time: 0.237, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1603, decode.acc_seg: 93.0582, aux.loss_ce: 0.0979, aux.acc_seg: 90.0320, loss: 0.2582 2023-11-14 00:40:29,720 - mmseg - INFO - Iter [130300/160000] lr: 1.114e-05, eta: 2:01:30, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1635, decode.acc_seg: 93.2667, aux.loss_ce: 0.1005, aux.acc_seg: 90.5008, loss: 0.2640 2023-11-14 00:40:41,579 - mmseg - INFO - Iter [130350/160000] lr: 1.112e-05, eta: 2:01:18, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1679, decode.acc_seg: 92.8507, aux.loss_ce: 0.1006, aux.acc_seg: 89.8304, loss: 0.2685 2023-11-14 00:40:53,269 - mmseg - INFO - Iter [130400/160000] lr: 1.110e-05, eta: 2:01:05, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1620, decode.acc_seg: 93.1822, aux.loss_ce: 0.0996, aux.acc_seg: 90.2810, loss: 0.2616 2023-11-14 00:41:05,074 - mmseg - INFO - Iter [130450/160000] lr: 1.108e-05, eta: 2:00:53, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1599, decode.acc_seg: 93.3073, aux.loss_ce: 0.0969, aux.acc_seg: 90.6564, loss: 0.2567 2023-11-14 00:41:17,092 - mmseg - INFO - Iter [130500/160000] lr: 1.106e-05, eta: 2:00:41, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1620, decode.acc_seg: 92.8907, aux.loss_ce: 0.1003, aux.acc_seg: 89.9123, loss: 0.2624 2023-11-14 00:41:28,890 - mmseg - INFO - Iter [130550/160000] lr: 1.104e-05, eta: 2:00:28, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1520, decode.acc_seg: 93.3946, aux.loss_ce: 0.0964, aux.acc_seg: 90.3647, loss: 0.2483 2023-11-14 00:41:41,873 - mmseg - INFO - Iter [130600/160000] lr: 1.103e-05, eta: 2:00:16, time: 0.260, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1735, decode.acc_seg: 92.8046, aux.loss_ce: 0.1081, aux.acc_seg: 89.6134, loss: 0.2816 2023-11-14 00:41:55,378 - mmseg - INFO - Iter [130650/160000] lr: 1.101e-05, eta: 2:00:04, time: 0.269, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1573, decode.acc_seg: 92.9975, aux.loss_ce: 0.0942, aux.acc_seg: 90.1812, loss: 0.2515 2023-11-14 00:42:07,513 - mmseg - INFO - Iter [130700/160000] lr: 1.099e-05, eta: 1:59:52, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1649, decode.acc_seg: 92.8581, aux.loss_ce: 0.1001, aux.acc_seg: 90.0684, loss: 0.2650 2023-11-14 00:42:19,442 - mmseg - INFO - Iter [130750/160000] lr: 1.097e-05, eta: 1:59:40, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1595, decode.acc_seg: 92.9829, aux.loss_ce: 0.0995, aux.acc_seg: 89.8228, loss: 0.2591 2023-11-14 00:42:31,638 - mmseg - INFO - Iter [130800/160000] lr: 1.095e-05, eta: 1:59:27, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1633, decode.acc_seg: 93.0631, aux.loss_ce: 0.1018, aux.acc_seg: 90.1025, loss: 0.2651 2023-11-14 00:42:43,305 - mmseg - INFO - Iter [130850/160000] lr: 1.093e-05, eta: 1:59:15, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1700, decode.acc_seg: 92.8810, aux.loss_ce: 0.1022, aux.acc_seg: 89.8391, loss: 0.2723 2023-11-14 00:42:54,930 - mmseg - INFO - Iter [130900/160000] lr: 1.091e-05, eta: 1:59:02, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1618, decode.acc_seg: 92.9547, aux.loss_ce: 0.1001, aux.acc_seg: 89.9446, loss: 0.2618 2023-11-14 00:43:06,522 - mmseg - INFO - Iter [130950/160000] lr: 1.089e-05, eta: 1:58:50, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1628, decode.acc_seg: 92.9787, aux.loss_ce: 0.1005, aux.acc_seg: 89.9803, loss: 0.2633 2023-11-14 00:43:18,484 - mmseg - INFO - Saving checkpoint at 131000 iterations 2023-11-14 00:43:21,064 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:43:21,065 - mmseg - INFO - Iter [131000/160000] lr: 1.088e-05, eta: 1:58:38, time: 0.291, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1629, decode.acc_seg: 93.1993, aux.loss_ce: 0.0996, aux.acc_seg: 90.2642, loss: 0.2625 2023-11-14 00:43:33,226 - mmseg - INFO - Iter [131050/160000] lr: 1.086e-05, eta: 1:58:26, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1611, decode.acc_seg: 93.1957, aux.loss_ce: 0.0988, aux.acc_seg: 90.1511, loss: 0.2598 2023-11-14 00:43:45,044 - mmseg - INFO - Iter [131100/160000] lr: 1.084e-05, eta: 1:58:14, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1609, decode.acc_seg: 93.0699, aux.loss_ce: 0.1001, aux.acc_seg: 90.0140, loss: 0.2610 2023-11-14 00:43:56,665 - mmseg - INFO - Iter [131150/160000] lr: 1.082e-05, eta: 1:58:01, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1610, decode.acc_seg: 93.0268, aux.loss_ce: 0.0960, aux.acc_seg: 90.1795, loss: 0.2570 2023-11-14 00:44:08,448 - mmseg - INFO - Iter [131200/160000] lr: 1.080e-05, eta: 1:57:49, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1664, decode.acc_seg: 92.9244, aux.loss_ce: 0.1021, aux.acc_seg: 89.8948, loss: 0.2685 2023-11-14 00:44:20,084 - mmseg - INFO - Iter [131250/160000] lr: 1.078e-05, eta: 1:57:36, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1568, decode.acc_seg: 93.2658, aux.loss_ce: 0.0955, aux.acc_seg: 90.5071, loss: 0.2523 2023-11-14 00:44:32,266 - mmseg - INFO - Iter [131300/160000] lr: 1.076e-05, eta: 1:57:24, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1562, decode.acc_seg: 93.2057, aux.loss_ce: 0.0943, aux.acc_seg: 90.5992, loss: 0.2505 2023-11-14 00:44:43,887 - mmseg - INFO - Iter [131350/160000] lr: 1.074e-05, eta: 1:57:12, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1604, decode.acc_seg: 93.1758, aux.loss_ce: 0.0971, aux.acc_seg: 90.2817, loss: 0.2575 2023-11-14 00:44:57,903 - mmseg - INFO - Iter [131400/160000] lr: 1.073e-05, eta: 1:57:00, time: 0.280, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1641, decode.acc_seg: 93.1323, aux.loss_ce: 0.1000, aux.acc_seg: 90.5151, loss: 0.2640 2023-11-14 00:45:10,247 - mmseg - INFO - Iter [131450/160000] lr: 1.071e-05, eta: 1:56:48, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1694, decode.acc_seg: 92.7350, aux.loss_ce: 0.1046, aux.acc_seg: 89.5766, loss: 0.2740 2023-11-14 00:45:22,790 - mmseg - INFO - Iter [131500/160000] lr: 1.069e-05, eta: 1:56:35, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1671, decode.acc_seg: 92.8420, aux.loss_ce: 0.1046, aux.acc_seg: 89.7154, loss: 0.2717 2023-11-14 00:45:34,584 - mmseg - INFO - Iter [131550/160000] lr: 1.067e-05, eta: 1:56:23, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1627, decode.acc_seg: 93.1988, aux.loss_ce: 0.0950, aux.acc_seg: 90.5728, loss: 0.2577 2023-11-14 00:45:46,240 - mmseg - INFO - Iter [131600/160000] lr: 1.065e-05, eta: 1:56:11, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1646, decode.acc_seg: 93.0517, aux.loss_ce: 0.0999, aux.acc_seg: 90.2512, loss: 0.2645 2023-11-14 00:45:57,945 - mmseg - INFO - Iter [131650/160000] lr: 1.063e-05, eta: 1:55:58, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1574, decode.acc_seg: 93.1712, aux.loss_ce: 0.0977, aux.acc_seg: 90.1396, loss: 0.2550 2023-11-14 00:46:10,240 - mmseg - INFO - Iter [131700/160000] lr: 1.061e-05, eta: 1:55:46, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1625, decode.acc_seg: 92.8771, aux.loss_ce: 0.1002, aux.acc_seg: 89.7629, loss: 0.2627 2023-11-14 00:46:23,015 - mmseg - INFO - Iter [131750/160000] lr: 1.059e-05, eta: 1:55:34, time: 0.255, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1621, decode.acc_seg: 93.0131, aux.loss_ce: 0.1009, aux.acc_seg: 90.0404, loss: 0.2630 2023-11-14 00:46:35,420 - mmseg - INFO - Iter [131800/160000] lr: 1.058e-05, eta: 1:55:21, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1567, decode.acc_seg: 93.2719, aux.loss_ce: 0.0937, aux.acc_seg: 90.5445, loss: 0.2504 2023-11-14 00:46:47,169 - mmseg - INFO - Iter [131850/160000] lr: 1.056e-05, eta: 1:55:09, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1626, decode.acc_seg: 93.1778, aux.loss_ce: 0.0981, aux.acc_seg: 90.4290, loss: 0.2606 2023-11-14 00:46:59,673 - mmseg - INFO - Iter [131900/160000] lr: 1.054e-05, eta: 1:54:57, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1566, decode.acc_seg: 93.3207, aux.loss_ce: 0.0961, aux.acc_seg: 90.6264, loss: 0.2526 2023-11-14 00:47:11,742 - mmseg - INFO - Iter [131950/160000] lr: 1.052e-05, eta: 1:54:45, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1566, decode.acc_seg: 93.2509, aux.loss_ce: 0.0977, aux.acc_seg: 90.3781, loss: 0.2543 2023-11-14 00:47:23,614 - mmseg - INFO - Saving checkpoint at 132000 iterations 2023-11-14 00:47:26,264 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:47:26,265 - mmseg - INFO - Iter [132000/160000] lr: 1.050e-05, eta: 1:54:33, time: 0.290, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1688, decode.acc_seg: 92.7356, aux.loss_ce: 0.1001, aux.acc_seg: 89.8581, loss: 0.2688 2023-11-14 00:47:38,482 - mmseg - INFO - Iter [132050/160000] lr: 1.048e-05, eta: 1:54:20, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1581, decode.acc_seg: 93.3202, aux.loss_ce: 0.0981, aux.acc_seg: 90.2687, loss: 0.2563 2023-11-14 00:47:50,219 - mmseg - INFO - Iter [132100/160000] lr: 1.046e-05, eta: 1:54:08, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1707, decode.acc_seg: 92.6552, aux.loss_ce: 0.1029, aux.acc_seg: 89.8579, loss: 0.2736 2023-11-14 00:48:01,912 - mmseg - INFO - Iter [132150/160000] lr: 1.044e-05, eta: 1:53:56, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1601, decode.acc_seg: 93.0824, aux.loss_ce: 0.0996, aux.acc_seg: 90.0292, loss: 0.2597 2023-11-14 00:48:13,598 - mmseg - INFO - Iter [132200/160000] lr: 1.043e-05, eta: 1:53:43, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1637, decode.acc_seg: 93.1857, aux.loss_ce: 0.0993, aux.acc_seg: 90.4199, loss: 0.2630 2023-11-14 00:48:25,502 - mmseg - INFO - Iter [132250/160000] lr: 1.041e-05, eta: 1:53:31, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1595, decode.acc_seg: 93.2056, aux.loss_ce: 0.0994, aux.acc_seg: 90.1593, loss: 0.2590 2023-11-14 00:48:37,235 - mmseg - INFO - Iter [132300/160000] lr: 1.039e-05, eta: 1:53:19, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1636, decode.acc_seg: 93.1045, aux.loss_ce: 0.1013, aux.acc_seg: 89.9597, loss: 0.2649 2023-11-14 00:48:48,929 - mmseg - INFO - Iter [132350/160000] lr: 1.037e-05, eta: 1:53:06, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1556, decode.acc_seg: 93.3574, aux.loss_ce: 0.0934, aux.acc_seg: 90.6878, loss: 0.2491 2023-11-14 00:49:00,550 - mmseg - INFO - Iter [132400/160000] lr: 1.035e-05, eta: 1:52:54, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1601, decode.acc_seg: 93.0426, aux.loss_ce: 0.0978, aux.acc_seg: 90.0902, loss: 0.2579 2023-11-14 00:49:12,421 - mmseg - INFO - Iter [132450/160000] lr: 1.033e-05, eta: 1:52:41, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1615, decode.acc_seg: 93.0479, aux.loss_ce: 0.1004, aux.acc_seg: 89.8778, loss: 0.2619 2023-11-14 00:49:24,648 - mmseg - INFO - Iter [132500/160000] lr: 1.031e-05, eta: 1:52:29, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1580, decode.acc_seg: 93.3274, aux.loss_ce: 0.0949, aux.acc_seg: 90.5742, loss: 0.2530 2023-11-14 00:49:36,701 - mmseg - INFO - Iter [132550/160000] lr: 1.029e-05, eta: 1:52:17, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1769, decode.acc_seg: 92.5462, aux.loss_ce: 0.1084, aux.acc_seg: 89.4050, loss: 0.2853 2023-11-14 00:49:48,478 - mmseg - INFO - Iter [132600/160000] lr: 1.028e-05, eta: 1:52:04, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1585, decode.acc_seg: 93.0081, aux.loss_ce: 0.0962, aux.acc_seg: 90.3535, loss: 0.2547 2023-11-14 00:50:02,630 - mmseg - INFO - Iter [132650/160000] lr: 1.026e-05, eta: 1:51:53, time: 0.283, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1583, decode.acc_seg: 93.2426, aux.loss_ce: 0.0994, aux.acc_seg: 90.1719, loss: 0.2577 2023-11-14 00:50:14,306 - mmseg - INFO - Iter [132700/160000] lr: 1.024e-05, eta: 1:51:40, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1617, decode.acc_seg: 93.0324, aux.loss_ce: 0.0999, aux.acc_seg: 90.0225, loss: 0.2617 2023-11-14 00:50:27,100 - mmseg - INFO - Iter [132750/160000] lr: 1.022e-05, eta: 1:51:28, time: 0.255, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1694, decode.acc_seg: 92.8838, aux.loss_ce: 0.1029, aux.acc_seg: 90.0821, loss: 0.2724 2023-11-14 00:50:38,964 - mmseg - INFO - Iter [132800/160000] lr: 1.020e-05, eta: 1:51:16, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1571, decode.acc_seg: 93.0268, aux.loss_ce: 0.0992, aux.acc_seg: 89.9657, loss: 0.2563 2023-11-14 00:50:51,847 - mmseg - INFO - Iter [132850/160000] lr: 1.018e-05, eta: 1:51:03, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1594, decode.acc_seg: 92.9596, aux.loss_ce: 0.0993, aux.acc_seg: 89.7345, loss: 0.2588 2023-11-14 00:51:03,602 - mmseg - INFO - Iter [132900/160000] lr: 1.016e-05, eta: 1:50:51, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1546, decode.acc_seg: 93.3449, aux.loss_ce: 0.0965, aux.acc_seg: 90.3545, loss: 0.2510 2023-11-14 00:51:15,181 - mmseg - INFO - Iter [132950/160000] lr: 1.014e-05, eta: 1:50:39, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1711, decode.acc_seg: 92.7554, aux.loss_ce: 0.1000, aux.acc_seg: 90.0415, loss: 0.2711 2023-11-14 00:51:27,482 - mmseg - INFO - Saving checkpoint at 133000 iterations 2023-11-14 00:51:30,227 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:51:30,227 - mmseg - INFO - Iter [133000/160000] lr: 1.013e-05, eta: 1:50:27, time: 0.301, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1622, decode.acc_seg: 92.8477, aux.loss_ce: 0.0961, aux.acc_seg: 90.1447, loss: 0.2583 2023-11-14 00:51:42,043 - mmseg - INFO - Iter [133050/160000] lr: 1.011e-05, eta: 1:50:15, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1665, decode.acc_seg: 92.9544, aux.loss_ce: 0.1026, aux.acc_seg: 89.7975, loss: 0.2691 2023-11-14 00:51:53,773 - mmseg - INFO - Iter [133100/160000] lr: 1.009e-05, eta: 1:50:02, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1575, decode.acc_seg: 93.2588, aux.loss_ce: 0.0968, aux.acc_seg: 90.5803, loss: 0.2544 2023-11-14 00:52:05,367 - mmseg - INFO - Iter [133150/160000] lr: 1.007e-05, eta: 1:49:50, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1662, decode.acc_seg: 92.8641, aux.loss_ce: 0.1006, aux.acc_seg: 90.0876, loss: 0.2668 2023-11-14 00:52:17,493 - mmseg - INFO - Iter [133200/160000] lr: 1.005e-05, eta: 1:49:38, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1597, decode.acc_seg: 93.0266, aux.loss_ce: 0.0984, aux.acc_seg: 90.3129, loss: 0.2581 2023-11-14 00:52:29,093 - mmseg - INFO - Iter [133250/160000] lr: 1.003e-05, eta: 1:49:25, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1557, decode.acc_seg: 93.4069, aux.loss_ce: 0.0946, aux.acc_seg: 90.7511, loss: 0.2503 2023-11-14 00:52:40,804 - mmseg - INFO - Iter [133300/160000] lr: 1.001e-05, eta: 1:49:13, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1591, decode.acc_seg: 93.2706, aux.loss_ce: 0.0965, aux.acc_seg: 90.3750, loss: 0.2556 2023-11-14 00:52:52,987 - mmseg - INFO - Iter [133350/160000] lr: 9.994e-06, eta: 1:49:00, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1632, decode.acc_seg: 93.0897, aux.loss_ce: 0.1027, aux.acc_seg: 89.9293, loss: 0.2659 2023-11-14 00:53:04,688 - mmseg - INFO - Iter [133400/160000] lr: 9.975e-06, eta: 1:48:48, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1627, decode.acc_seg: 93.0361, aux.loss_ce: 0.0998, aux.acc_seg: 90.1105, loss: 0.2625 2023-11-14 00:53:16,722 - mmseg - INFO - Iter [133450/160000] lr: 9.957e-06, eta: 1:48:36, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1551, decode.acc_seg: 93.1552, aux.loss_ce: 0.0929, aux.acc_seg: 90.2674, loss: 0.2480 2023-11-14 00:53:29,084 - mmseg - INFO - Iter [133500/160000] lr: 9.938e-06, eta: 1:48:23, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1559, decode.acc_seg: 93.1876, aux.loss_ce: 0.0949, aux.acc_seg: 90.4161, loss: 0.2508 2023-11-14 00:53:40,823 - mmseg - INFO - Iter [133550/160000] lr: 9.919e-06, eta: 1:48:11, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1550, decode.acc_seg: 93.0447, aux.loss_ce: 0.0940, aux.acc_seg: 90.4321, loss: 0.2489 2023-11-14 00:53:52,604 - mmseg - INFO - Iter [133600/160000] lr: 9.900e-06, eta: 1:47:59, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1663, decode.acc_seg: 92.7516, aux.loss_ce: 0.1048, aux.acc_seg: 89.4810, loss: 0.2710 2023-11-14 00:54:04,289 - mmseg - INFO - Iter [133650/160000] lr: 9.882e-06, eta: 1:47:46, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1748, decode.acc_seg: 92.5353, aux.loss_ce: 0.1067, aux.acc_seg: 89.6594, loss: 0.2815 2023-11-14 00:54:15,973 - mmseg - INFO - Iter [133700/160000] lr: 9.863e-06, eta: 1:47:34, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1592, decode.acc_seg: 93.0415, aux.loss_ce: 0.0978, aux.acc_seg: 90.1031, loss: 0.2570 2023-11-14 00:54:27,595 - mmseg - INFO - Iter [133750/160000] lr: 9.844e-06, eta: 1:47:22, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1513, decode.acc_seg: 93.5971, aux.loss_ce: 0.0938, aux.acc_seg: 90.7350, loss: 0.2451 2023-11-14 00:54:39,329 - mmseg - INFO - Iter [133800/160000] lr: 9.825e-06, eta: 1:47:09, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1659, decode.acc_seg: 92.8043, aux.loss_ce: 0.1033, aux.acc_seg: 89.7202, loss: 0.2692 2023-11-14 00:54:53,270 - mmseg - INFO - Iter [133850/160000] lr: 9.807e-06, eta: 1:46:57, time: 0.279, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1465, decode.acc_seg: 93.6011, aux.loss_ce: 0.0880, aux.acc_seg: 91.0234, loss: 0.2344 2023-11-14 00:55:07,430 - mmseg - INFO - Iter [133900/160000] lr: 9.788e-06, eta: 1:46:45, time: 0.283, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1582, decode.acc_seg: 93.1688, aux.loss_ce: 0.0967, aux.acc_seg: 90.2285, loss: 0.2549 2023-11-14 00:55:19,680 - mmseg - INFO - Iter [133950/160000] lr: 9.769e-06, eta: 1:46:33, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1608, decode.acc_seg: 93.2191, aux.loss_ce: 0.0997, aux.acc_seg: 90.2960, loss: 0.2605 2023-11-14 00:55:31,804 - mmseg - INFO - Saving checkpoint at 134000 iterations 2023-11-14 00:55:34,414 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:55:34,414 - mmseg - INFO - Iter [134000/160000] lr: 9.750e-06, eta: 1:46:21, time: 0.295, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1607, decode.acc_seg: 93.2701, aux.loss_ce: 0.0986, aux.acc_seg: 90.3484, loss: 0.2593 2023-11-14 00:55:46,194 - mmseg - INFO - Iter [134050/160000] lr: 9.732e-06, eta: 1:46:09, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1615, decode.acc_seg: 93.1075, aux.loss_ce: 0.0984, aux.acc_seg: 90.2356, loss: 0.2599 2023-11-14 00:55:58,072 - mmseg - INFO - Iter [134100/160000] lr: 9.713e-06, eta: 1:45:57, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1646, decode.acc_seg: 93.2200, aux.loss_ce: 0.0995, aux.acc_seg: 90.3611, loss: 0.2641 2023-11-14 00:56:10,553 - mmseg - INFO - Iter [134150/160000] lr: 9.694e-06, eta: 1:45:44, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1678, decode.acc_seg: 92.8925, aux.loss_ce: 0.1053, aux.acc_seg: 89.6502, loss: 0.2732 2023-11-14 00:56:22,949 - mmseg - INFO - Iter [134200/160000] lr: 9.675e-06, eta: 1:45:32, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1540, decode.acc_seg: 93.3240, aux.loss_ce: 0.0935, aux.acc_seg: 90.4781, loss: 0.2475 2023-11-14 00:56:34,717 - mmseg - INFO - Iter [134250/160000] lr: 9.657e-06, eta: 1:45:20, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1595, decode.acc_seg: 93.3340, aux.loss_ce: 0.0976, aux.acc_seg: 90.4405, loss: 0.2571 2023-11-14 00:56:46,617 - mmseg - INFO - Iter [134300/160000] lr: 9.638e-06, eta: 1:45:07, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1625, decode.acc_seg: 92.9550, aux.loss_ce: 0.0994, aux.acc_seg: 90.1041, loss: 0.2619 2023-11-14 00:56:58,343 - mmseg - INFO - Iter [134350/160000] lr: 9.619e-06, eta: 1:44:55, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1618, decode.acc_seg: 93.0429, aux.loss_ce: 0.0988, aux.acc_seg: 90.0751, loss: 0.2606 2023-11-14 00:57:09,970 - mmseg - INFO - Iter [134400/160000] lr: 9.600e-06, eta: 1:44:43, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1556, decode.acc_seg: 93.2096, aux.loss_ce: 0.0954, aux.acc_seg: 90.4212, loss: 0.2509 2023-11-14 00:57:21,862 - mmseg - INFO - Iter [134450/160000] lr: 9.582e-06, eta: 1:44:30, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1652, decode.acc_seg: 92.9559, aux.loss_ce: 0.0980, aux.acc_seg: 90.2645, loss: 0.2632 2023-11-14 00:57:33,871 - mmseg - INFO - Iter [134500/160000] lr: 9.563e-06, eta: 1:44:18, time: 0.240, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1644, decode.acc_seg: 92.9304, aux.loss_ce: 0.0993, aux.acc_seg: 89.9883, loss: 0.2637 2023-11-14 00:57:45,580 - mmseg - INFO - Iter [134550/160000] lr: 9.544e-06, eta: 1:44:06, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1590, decode.acc_seg: 93.2815, aux.loss_ce: 0.0981, aux.acc_seg: 90.4506, loss: 0.2571 2023-11-14 00:57:57,207 - mmseg - INFO - Iter [134600/160000] lr: 9.525e-06, eta: 1:43:53, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1519, decode.acc_seg: 93.1826, aux.loss_ce: 0.0929, aux.acc_seg: 90.1453, loss: 0.2447 2023-11-14 00:58:09,010 - mmseg - INFO - Iter [134650/160000] lr: 9.507e-06, eta: 1:43:41, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1572, decode.acc_seg: 93.2545, aux.loss_ce: 0.0978, aux.acc_seg: 90.3052, loss: 0.2550 2023-11-14 00:58:21,278 - mmseg - INFO - Iter [134700/160000] lr: 9.488e-06, eta: 1:43:29, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1598, decode.acc_seg: 93.0675, aux.loss_ce: 0.0990, aux.acc_seg: 90.2749, loss: 0.2588 2023-11-14 00:58:34,124 - mmseg - INFO - Iter [134750/160000] lr: 9.469e-06, eta: 1:43:16, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1636, decode.acc_seg: 92.8643, aux.loss_ce: 0.1002, aux.acc_seg: 89.8059, loss: 0.2638 2023-11-14 00:58:45,858 - mmseg - INFO - Iter [134800/160000] lr: 9.450e-06, eta: 1:43:04, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1585, decode.acc_seg: 93.1685, aux.loss_ce: 0.0974, aux.acc_seg: 90.2169, loss: 0.2559 2023-11-14 00:58:57,562 - mmseg - INFO - Iter [134850/160000] lr: 9.432e-06, eta: 1:42:52, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1685, decode.acc_seg: 92.8696, aux.loss_ce: 0.1033, aux.acc_seg: 89.9075, loss: 0.2717 2023-11-14 00:59:09,756 - mmseg - INFO - Iter [134900/160000] lr: 9.413e-06, eta: 1:42:39, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1620, decode.acc_seg: 93.1563, aux.loss_ce: 0.0993, aux.acc_seg: 90.3553, loss: 0.2613 2023-11-14 00:59:21,822 - mmseg - INFO - Iter [134950/160000] lr: 9.394e-06, eta: 1:42:27, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1603, decode.acc_seg: 93.1768, aux.loss_ce: 0.0987, aux.acc_seg: 90.3458, loss: 0.2591 2023-11-14 00:59:33,589 - mmseg - INFO - Saving checkpoint at 135000 iterations 2023-11-14 00:59:36,141 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 00:59:36,141 - mmseg - INFO - Iter [135000/160000] lr: 9.375e-06, eta: 1:42:15, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1637, decode.acc_seg: 92.9125, aux.loss_ce: 0.0989, aux.acc_seg: 89.9956, loss: 0.2626 2023-11-14 00:59:47,941 - mmseg - INFO - Iter [135050/160000] lr: 9.357e-06, eta: 1:42:03, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1550, decode.acc_seg: 93.2738, aux.loss_ce: 0.0946, aux.acc_seg: 90.4169, loss: 0.2496 2023-11-14 01:00:00,000 - mmseg - INFO - Iter [135100/160000] lr: 9.338e-06, eta: 1:41:50, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1664, decode.acc_seg: 92.8433, aux.loss_ce: 0.1034, aux.acc_seg: 89.6881, loss: 0.2698 2023-11-14 01:00:14,128 - mmseg - INFO - Iter [135150/160000] lr: 9.319e-06, eta: 1:41:39, time: 0.283, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1602, decode.acc_seg: 93.0991, aux.loss_ce: 0.0992, aux.acc_seg: 90.1598, loss: 0.2594 2023-11-14 01:00:25,818 - mmseg - INFO - Iter [135200/160000] lr: 9.300e-06, eta: 1:41:26, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1558, decode.acc_seg: 93.3613, aux.loss_ce: 0.0949, aux.acc_seg: 90.7425, loss: 0.2507 2023-11-14 01:00:37,438 - mmseg - INFO - Iter [135250/160000] lr: 9.282e-06, eta: 1:41:14, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1530, decode.acc_seg: 93.6125, aux.loss_ce: 0.0936, aux.acc_seg: 90.9051, loss: 0.2466 2023-11-14 01:00:49,103 - mmseg - INFO - Iter [135300/160000] lr: 9.263e-06, eta: 1:41:01, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1600, decode.acc_seg: 93.2424, aux.loss_ce: 0.0983, aux.acc_seg: 90.4236, loss: 0.2583 2023-11-14 01:01:00,930 - mmseg - INFO - Iter [135350/160000] lr: 9.244e-06, eta: 1:40:49, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1642, decode.acc_seg: 93.0189, aux.loss_ce: 0.1017, aux.acc_seg: 89.9420, loss: 0.2659 2023-11-14 01:01:13,131 - mmseg - INFO - Iter [135400/160000] lr: 9.225e-06, eta: 1:40:37, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1495, decode.acc_seg: 93.5186, aux.loss_ce: 0.0920, aux.acc_seg: 90.7291, loss: 0.2415 2023-11-14 01:01:24,918 - mmseg - INFO - Iter [135450/160000] lr: 9.207e-06, eta: 1:40:24, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1573, decode.acc_seg: 93.1697, aux.loss_ce: 0.0971, aux.acc_seg: 90.2055, loss: 0.2544 2023-11-14 01:01:36,632 - mmseg - INFO - Iter [135500/160000] lr: 9.188e-06, eta: 1:40:12, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1623, decode.acc_seg: 93.1017, aux.loss_ce: 0.0958, aux.acc_seg: 90.5356, loss: 0.2581 2023-11-14 01:01:48,608 - mmseg - INFO - Iter [135550/160000] lr: 9.169e-06, eta: 1:40:00, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1592, decode.acc_seg: 93.1729, aux.loss_ce: 0.0966, aux.acc_seg: 90.2499, loss: 0.2557 2023-11-14 01:02:02,604 - mmseg - INFO - Iter [135600/160000] lr: 9.150e-06, eta: 1:39:48, time: 0.281, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1529, decode.acc_seg: 93.4177, aux.loss_ce: 0.0951, aux.acc_seg: 90.4269, loss: 0.2480 2023-11-14 01:02:14,728 - mmseg - INFO - Iter [135650/160000] lr: 9.132e-06, eta: 1:39:35, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1594, decode.acc_seg: 93.1367, aux.loss_ce: 0.0991, aux.acc_seg: 90.1225, loss: 0.2585 2023-11-14 01:02:26,942 - mmseg - INFO - Iter [135700/160000] lr: 9.113e-06, eta: 1:39:23, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1605, decode.acc_seg: 93.0087, aux.loss_ce: 0.1000, aux.acc_seg: 89.8114, loss: 0.2605 2023-11-14 01:02:38,608 - mmseg - INFO - Iter [135750/160000] lr: 9.094e-06, eta: 1:39:11, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1607, decode.acc_seg: 93.1188, aux.loss_ce: 0.0983, aux.acc_seg: 90.2633, loss: 0.2590 2023-11-14 01:02:50,268 - mmseg - INFO - Iter [135800/160000] lr: 9.075e-06, eta: 1:38:58, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1609, decode.acc_seg: 93.1238, aux.loss_ce: 0.0997, aux.acc_seg: 90.0281, loss: 0.2606 2023-11-14 01:03:02,464 - mmseg - INFO - Iter [135850/160000] lr: 9.057e-06, eta: 1:38:46, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1587, decode.acc_seg: 93.2001, aux.loss_ce: 0.1008, aux.acc_seg: 90.2148, loss: 0.2595 2023-11-14 01:03:14,394 - mmseg - INFO - Iter [135900/160000] lr: 9.038e-06, eta: 1:38:34, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1595, decode.acc_seg: 93.1073, aux.loss_ce: 0.0951, aux.acc_seg: 90.5527, loss: 0.2546 2023-11-14 01:03:27,230 - mmseg - INFO - Iter [135950/160000] lr: 9.019e-06, eta: 1:38:22, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1505, decode.acc_seg: 93.4712, aux.loss_ce: 0.0918, aux.acc_seg: 90.7643, loss: 0.2423 2023-11-14 01:03:39,380 - mmseg - INFO - Saving checkpoint at 136000 iterations 2023-11-14 01:03:41,905 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:03:41,906 - mmseg - INFO - Iter [136000/160000] lr: 9.000e-06, eta: 1:38:10, time: 0.294, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1547, decode.acc_seg: 93.3509, aux.loss_ce: 0.0954, aux.acc_seg: 90.3855, loss: 0.2501 2023-11-14 01:03:53,823 - mmseg - INFO - Iter [136050/160000] lr: 8.982e-06, eta: 1:37:57, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1619, decode.acc_seg: 93.0295, aux.loss_ce: 0.0979, aux.acc_seg: 90.0068, loss: 0.2598 2023-11-14 01:04:05,895 - mmseg - INFO - Iter [136100/160000] lr: 8.963e-06, eta: 1:37:45, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1543, decode.acc_seg: 93.3113, aux.loss_ce: 0.0937, aux.acc_seg: 90.5529, loss: 0.2481 2023-11-14 01:04:17,552 - mmseg - INFO - Iter [136150/160000] lr: 8.944e-06, eta: 1:37:33, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1641, decode.acc_seg: 92.8572, aux.loss_ce: 0.1006, aux.acc_seg: 89.9627, loss: 0.2647 2023-11-14 01:04:29,601 - mmseg - INFO - Iter [136200/160000] lr: 8.925e-06, eta: 1:37:20, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1602, decode.acc_seg: 93.0719, aux.loss_ce: 0.0967, aux.acc_seg: 90.2297, loss: 0.2569 2023-11-14 01:04:41,788 - mmseg - INFO - Iter [136250/160000] lr: 8.907e-06, eta: 1:37:08, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1668, decode.acc_seg: 92.7250, aux.loss_ce: 0.1024, aux.acc_seg: 89.6388, loss: 0.2692 2023-11-14 01:04:55,498 - mmseg - INFO - Iter [136300/160000] lr: 8.888e-06, eta: 1:36:56, time: 0.274, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1625, decode.acc_seg: 93.0249, aux.loss_ce: 0.1017, aux.acc_seg: 90.0798, loss: 0.2642 2023-11-14 01:05:08,244 - mmseg - INFO - Iter [136350/160000] lr: 8.869e-06, eta: 1:36:44, time: 0.255, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1543, decode.acc_seg: 93.2444, aux.loss_ce: 0.0936, aux.acc_seg: 90.4857, loss: 0.2479 2023-11-14 01:05:20,031 - mmseg - INFO - Iter [136400/160000] lr: 8.850e-06, eta: 1:36:32, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1612, decode.acc_seg: 93.1550, aux.loss_ce: 0.1003, aux.acc_seg: 90.1835, loss: 0.2615 2023-11-14 01:05:34,023 - mmseg - INFO - Iter [136450/160000] lr: 8.832e-06, eta: 1:36:20, time: 0.280, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1581, decode.acc_seg: 93.4007, aux.loss_ce: 0.0992, aux.acc_seg: 90.5250, loss: 0.2573 2023-11-14 01:05:45,722 - mmseg - INFO - Iter [136500/160000] lr: 8.813e-06, eta: 1:36:07, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1585, decode.acc_seg: 93.1811, aux.loss_ce: 0.0971, aux.acc_seg: 90.3050, loss: 0.2556 2023-11-14 01:05:57,353 - mmseg - INFO - Iter [136550/160000] lr: 8.794e-06, eta: 1:35:55, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1534, decode.acc_seg: 93.4189, aux.loss_ce: 0.0923, aux.acc_seg: 90.8177, loss: 0.2458 2023-11-14 01:06:09,125 - mmseg - INFO - Iter [136600/160000] lr: 8.775e-06, eta: 1:35:42, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1537, decode.acc_seg: 93.3658, aux.loss_ce: 0.0964, aux.acc_seg: 90.2785, loss: 0.2501 2023-11-14 01:06:21,182 - mmseg - INFO - Iter [136650/160000] lr: 8.757e-06, eta: 1:35:30, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1568, decode.acc_seg: 93.0893, aux.loss_ce: 0.0978, aux.acc_seg: 89.9897, loss: 0.2546 2023-11-14 01:06:32,954 - mmseg - INFO - Iter [136700/160000] lr: 8.738e-06, eta: 1:35:18, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1531, decode.acc_seg: 93.4651, aux.loss_ce: 0.0996, aux.acc_seg: 90.3177, loss: 0.2527 2023-11-14 01:06:44,813 - mmseg - INFO - Iter [136750/160000] lr: 8.719e-06, eta: 1:35:05, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1544, decode.acc_seg: 93.2634, aux.loss_ce: 0.0935, aux.acc_seg: 90.5421, loss: 0.2479 2023-11-14 01:06:56,526 - mmseg - INFO - Iter [136800/160000] lr: 8.700e-06, eta: 1:34:53, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1649, decode.acc_seg: 93.0348, aux.loss_ce: 0.1002, aux.acc_seg: 90.1678, loss: 0.2650 2023-11-14 01:07:08,351 - mmseg - INFO - Iter [136850/160000] lr: 8.682e-06, eta: 1:34:41, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1532, decode.acc_seg: 93.2163, aux.loss_ce: 0.0965, aux.acc_seg: 89.9195, loss: 0.2497 2023-11-14 01:07:20,630 - mmseg - INFO - Iter [136900/160000] lr: 8.663e-06, eta: 1:34:28, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1612, decode.acc_seg: 93.0299, aux.loss_ce: 0.0965, aux.acc_seg: 90.2783, loss: 0.2577 2023-11-14 01:07:32,295 - mmseg - INFO - Iter [136950/160000] lr: 8.644e-06, eta: 1:34:16, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1561, decode.acc_seg: 93.1845, aux.loss_ce: 0.0938, aux.acc_seg: 90.4191, loss: 0.2499 2023-11-14 01:07:43,976 - mmseg - INFO - Saving checkpoint at 137000 iterations 2023-11-14 01:07:46,565 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:07:46,565 - mmseg - INFO - Iter [137000/160000] lr: 8.625e-06, eta: 1:34:04, time: 0.285, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1596, decode.acc_seg: 93.2715, aux.loss_ce: 0.1008, aux.acc_seg: 90.2317, loss: 0.2604 2023-11-14 01:07:58,282 - mmseg - INFO - Iter [137050/160000] lr: 8.607e-06, eta: 1:33:52, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1560, decode.acc_seg: 93.2876, aux.loss_ce: 0.0968, aux.acc_seg: 90.2300, loss: 0.2528 2023-11-14 01:08:10,475 - mmseg - INFO - Iter [137100/160000] lr: 8.588e-06, eta: 1:33:40, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1505, decode.acc_seg: 93.5378, aux.loss_ce: 0.0911, aux.acc_seg: 90.9114, loss: 0.2415 2023-11-14 01:08:22,246 - mmseg - INFO - Iter [137150/160000] lr: 8.569e-06, eta: 1:33:27, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1628, decode.acc_seg: 92.8790, aux.loss_ce: 0.0964, aux.acc_seg: 90.2304, loss: 0.2593 2023-11-14 01:08:33,895 - mmseg - INFO - Iter [137200/160000] lr: 8.550e-06, eta: 1:33:15, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1588, decode.acc_seg: 93.3528, aux.loss_ce: 0.0978, aux.acc_seg: 90.5031, loss: 0.2566 2023-11-14 01:08:45,644 - mmseg - INFO - Iter [137250/160000] lr: 8.532e-06, eta: 1:33:02, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1613, decode.acc_seg: 93.0418, aux.loss_ce: 0.0966, aux.acc_seg: 90.5012, loss: 0.2579 2023-11-14 01:08:57,296 - mmseg - INFO - Iter [137300/160000] lr: 8.513e-06, eta: 1:32:50, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1534, decode.acc_seg: 93.3644, aux.loss_ce: 0.0965, aux.acc_seg: 90.4229, loss: 0.2499 2023-11-14 01:09:08,879 - mmseg - INFO - Iter [137350/160000] lr: 8.494e-06, eta: 1:32:38, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1609, decode.acc_seg: 93.3677, aux.loss_ce: 0.0976, aux.acc_seg: 90.6046, loss: 0.2585 2023-11-14 01:09:20,654 - mmseg - INFO - Iter [137400/160000] lr: 8.475e-06, eta: 1:32:25, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1610, decode.acc_seg: 93.0238, aux.loss_ce: 0.1018, aux.acc_seg: 89.7367, loss: 0.2629 2023-11-14 01:09:32,372 - mmseg - INFO - Iter [137450/160000] lr: 8.457e-06, eta: 1:32:13, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1632, decode.acc_seg: 92.9270, aux.loss_ce: 0.1004, aux.acc_seg: 89.8647, loss: 0.2635 2023-11-14 01:09:44,229 - mmseg - INFO - Iter [137500/160000] lr: 8.438e-06, eta: 1:32:01, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1643, decode.acc_seg: 92.9446, aux.loss_ce: 0.0999, aux.acc_seg: 90.1074, loss: 0.2643 2023-11-14 01:09:55,904 - mmseg - INFO - Iter [137550/160000] lr: 8.419e-06, eta: 1:31:48, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1602, decode.acc_seg: 93.0734, aux.loss_ce: 0.0973, aux.acc_seg: 90.1365, loss: 0.2575 2023-11-14 01:10:08,012 - mmseg - INFO - Iter [137600/160000] lr: 8.400e-06, eta: 1:31:36, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1505, decode.acc_seg: 93.3724, aux.loss_ce: 0.0932, aux.acc_seg: 90.4656, loss: 0.2437 2023-11-14 01:10:19,604 - mmseg - INFO - Iter [137650/160000] lr: 8.382e-06, eta: 1:31:24, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1564, decode.acc_seg: 93.2966, aux.loss_ce: 0.0946, aux.acc_seg: 90.5177, loss: 0.2510 2023-11-14 01:10:34,221 - mmseg - INFO - Iter [137700/160000] lr: 8.363e-06, eta: 1:31:12, time: 0.292, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1605, decode.acc_seg: 92.8724, aux.loss_ce: 0.1007, aux.acc_seg: 89.7232, loss: 0.2612 2023-11-14 01:10:45,990 - mmseg - INFO - Iter [137750/160000] lr: 8.344e-06, eta: 1:30:59, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1545, decode.acc_seg: 93.3567, aux.loss_ce: 0.0997, aux.acc_seg: 90.3183, loss: 0.2542 2023-11-14 01:10:57,899 - mmseg - INFO - Iter [137800/160000] lr: 8.325e-06, eta: 1:30:47, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1610, decode.acc_seg: 93.1207, aux.loss_ce: 0.0980, aux.acc_seg: 90.3278, loss: 0.2589 2023-11-14 01:11:09,905 - mmseg - INFO - Iter [137850/160000] lr: 8.307e-06, eta: 1:30:35, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1646, decode.acc_seg: 92.8983, aux.loss_ce: 0.1008, aux.acc_seg: 89.8171, loss: 0.2654 2023-11-14 01:11:22,010 - mmseg - INFO - Iter [137900/160000] lr: 8.288e-06, eta: 1:30:22, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1608, decode.acc_seg: 93.2925, aux.loss_ce: 0.0988, aux.acc_seg: 90.4901, loss: 0.2596 2023-11-14 01:11:34,715 - mmseg - INFO - Iter [137950/160000] lr: 8.269e-06, eta: 1:30:10, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1666, decode.acc_seg: 92.7686, aux.loss_ce: 0.1001, aux.acc_seg: 89.9692, loss: 0.2667 2023-11-14 01:11:46,344 - mmseg - INFO - Saving checkpoint at 138000 iterations 2023-11-14 01:11:48,975 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:11:48,975 - mmseg - INFO - Iter [138000/160000] lr: 8.250e-06, eta: 1:29:58, time: 0.285, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1599, decode.acc_seg: 92.9695, aux.loss_ce: 0.1018, aux.acc_seg: 89.7609, loss: 0.2616 2023-11-14 01:12:00,820 - mmseg - INFO - Iter [138050/160000] lr: 8.232e-06, eta: 1:29:46, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1609, decode.acc_seg: 93.1132, aux.loss_ce: 0.0976, aux.acc_seg: 90.2786, loss: 0.2585 2023-11-14 01:12:12,707 - mmseg - INFO - Iter [138100/160000] lr: 8.213e-06, eta: 1:29:34, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1496, decode.acc_seg: 93.4639, aux.loss_ce: 0.0941, aux.acc_seg: 90.5224, loss: 0.2437 2023-11-14 01:12:24,399 - mmseg - INFO - Iter [138150/160000] lr: 8.194e-06, eta: 1:29:21, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1535, decode.acc_seg: 93.3781, aux.loss_ce: 0.0974, aux.acc_seg: 90.2596, loss: 0.2509 2023-11-14 01:12:36,351 - mmseg - INFO - Iter [138200/160000] lr: 8.175e-06, eta: 1:29:09, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1606, decode.acc_seg: 93.1280, aux.loss_ce: 0.1012, aux.acc_seg: 89.9710, loss: 0.2618 2023-11-14 01:12:48,458 - mmseg - INFO - Iter [138250/160000] lr: 8.157e-06, eta: 1:28:57, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1671, decode.acc_seg: 92.9084, aux.loss_ce: 0.1013, aux.acc_seg: 89.8973, loss: 0.2683 2023-11-14 01:13:00,406 - mmseg - INFO - Iter [138300/160000] lr: 8.138e-06, eta: 1:28:44, time: 0.239, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1589, decode.acc_seg: 92.9976, aux.loss_ce: 0.0945, aux.acc_seg: 90.1475, loss: 0.2534 2023-11-14 01:13:12,126 - mmseg - INFO - Iter [138350/160000] lr: 8.119e-06, eta: 1:28:32, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1486, decode.acc_seg: 93.5622, aux.loss_ce: 0.0902, aux.acc_seg: 90.9563, loss: 0.2389 2023-11-14 01:13:23,729 - mmseg - INFO - Iter [138400/160000] lr: 8.100e-06, eta: 1:28:20, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1471, decode.acc_seg: 93.7378, aux.loss_ce: 0.0917, aux.acc_seg: 90.8911, loss: 0.2388 2023-11-14 01:13:35,346 - mmseg - INFO - Iter [138450/160000] lr: 8.082e-06, eta: 1:28:07, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1562, decode.acc_seg: 93.4225, aux.loss_ce: 0.0967, aux.acc_seg: 90.5234, loss: 0.2529 2023-11-14 01:13:46,960 - mmseg - INFO - Iter [138500/160000] lr: 8.063e-06, eta: 1:27:55, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1552, decode.acc_seg: 93.2922, aux.loss_ce: 0.0955, aux.acc_seg: 90.3674, loss: 0.2507 2023-11-14 01:13:58,566 - mmseg - INFO - Iter [138550/160000] lr: 8.044e-06, eta: 1:27:42, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1551, decode.acc_seg: 93.3518, aux.loss_ce: 0.0968, aux.acc_seg: 90.4368, loss: 0.2520 2023-11-14 01:14:10,380 - mmseg - INFO - Iter [138600/160000] lr: 8.025e-06, eta: 1:27:30, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1578, decode.acc_seg: 93.1380, aux.loss_ce: 0.0931, aux.acc_seg: 90.5990, loss: 0.2509 2023-11-14 01:14:22,043 - mmseg - INFO - Iter [138650/160000] lr: 8.007e-06, eta: 1:27:18, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1612, decode.acc_seg: 93.1420, aux.loss_ce: 0.0996, aux.acc_seg: 90.2659, loss: 0.2608 2023-11-14 01:14:33,762 - mmseg - INFO - Iter [138700/160000] lr: 7.988e-06, eta: 1:27:05, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1528, decode.acc_seg: 93.3133, aux.loss_ce: 0.0959, aux.acc_seg: 90.4212, loss: 0.2487 2023-11-14 01:14:45,420 - mmseg - INFO - Iter [138750/160000] lr: 7.969e-06, eta: 1:26:53, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1570, decode.acc_seg: 93.3144, aux.loss_ce: 0.0973, aux.acc_seg: 90.3509, loss: 0.2543 2023-11-14 01:14:57,438 - mmseg - INFO - Iter [138800/160000] lr: 7.950e-06, eta: 1:26:41, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1598, decode.acc_seg: 93.2090, aux.loss_ce: 0.0989, aux.acc_seg: 90.3218, loss: 0.2587 2023-11-14 01:15:09,301 - mmseg - INFO - Iter [138850/160000] lr: 7.932e-06, eta: 1:26:28, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1581, decode.acc_seg: 93.1967, aux.loss_ce: 0.0970, aux.acc_seg: 90.1639, loss: 0.2551 2023-11-14 01:15:21,977 - mmseg - INFO - Iter [138900/160000] lr: 7.913e-06, eta: 1:26:16, time: 0.253, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1616, decode.acc_seg: 92.9382, aux.loss_ce: 0.1006, aux.acc_seg: 89.8950, loss: 0.2621 2023-11-14 01:15:36,229 - mmseg - INFO - Iter [138950/160000] lr: 7.894e-06, eta: 1:26:04, time: 0.285, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1625, decode.acc_seg: 93.1102, aux.loss_ce: 0.1012, aux.acc_seg: 89.9250, loss: 0.2637 2023-11-14 01:15:47,923 - mmseg - INFO - Saving checkpoint at 139000 iterations 2023-11-14 01:15:50,652 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:15:50,652 - mmseg - INFO - Iter [139000/160000] lr: 7.875e-06, eta: 1:25:52, time: 0.288, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1586, decode.acc_seg: 93.2976, aux.loss_ce: 0.0966, aux.acc_seg: 90.5239, loss: 0.2552 2023-11-14 01:16:02,239 - mmseg - INFO - Iter [139050/160000] lr: 7.857e-06, eta: 1:25:40, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1574, decode.acc_seg: 93.3439, aux.loss_ce: 0.0970, aux.acc_seg: 90.4010, loss: 0.2544 2023-11-14 01:16:14,895 - mmseg - INFO - Iter [139100/160000] lr: 7.838e-06, eta: 1:25:28, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1562, decode.acc_seg: 93.2922, aux.loss_ce: 0.0975, aux.acc_seg: 90.2291, loss: 0.2537 2023-11-14 01:16:26,726 - mmseg - INFO - Iter [139150/160000] lr: 7.819e-06, eta: 1:25:15, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1523, decode.acc_seg: 93.3368, aux.loss_ce: 0.0963, aux.acc_seg: 90.1090, loss: 0.2486 2023-11-14 01:16:39,217 - mmseg - INFO - Iter [139200/160000] lr: 7.800e-06, eta: 1:25:03, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1545, decode.acc_seg: 93.3565, aux.loss_ce: 0.0932, aux.acc_seg: 90.6632, loss: 0.2477 2023-11-14 01:16:50,792 - mmseg - INFO - Iter [139250/160000] lr: 7.782e-06, eta: 1:24:51, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1521, decode.acc_seg: 93.3620, aux.loss_ce: 0.0938, aux.acc_seg: 90.5040, loss: 0.2459 2023-11-14 01:17:02,647 - mmseg - INFO - Iter [139300/160000] lr: 7.763e-06, eta: 1:24:38, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1526, decode.acc_seg: 93.5312, aux.loss_ce: 0.0954, aux.acc_seg: 90.6818, loss: 0.2480 2023-11-14 01:17:14,853 - mmseg - INFO - Iter [139350/160000] lr: 7.744e-06, eta: 1:24:26, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1561, decode.acc_seg: 93.4394, aux.loss_ce: 0.0962, aux.acc_seg: 90.5792, loss: 0.2522 2023-11-14 01:17:26,506 - mmseg - INFO - Iter [139400/160000] lr: 7.725e-06, eta: 1:24:14, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1514, decode.acc_seg: 93.4540, aux.loss_ce: 0.0929, aux.acc_seg: 90.6243, loss: 0.2443 2023-11-14 01:17:38,235 - mmseg - INFO - Iter [139450/160000] lr: 7.707e-06, eta: 1:24:01, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1634, decode.acc_seg: 92.8831, aux.loss_ce: 0.0997, aux.acc_seg: 90.1431, loss: 0.2631 2023-11-14 01:17:51,324 - mmseg - INFO - Iter [139500/160000] lr: 7.688e-06, eta: 1:23:49, time: 0.262, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1577, decode.acc_seg: 93.2078, aux.loss_ce: 0.0982, aux.acc_seg: 90.2482, loss: 0.2559 2023-11-14 01:18:03,354 - mmseg - INFO - Iter [139550/160000] lr: 7.669e-06, eta: 1:23:37, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1528, decode.acc_seg: 93.4059, aux.loss_ce: 0.0960, aux.acc_seg: 90.5489, loss: 0.2488 2023-11-14 01:18:15,099 - mmseg - INFO - Iter [139600/160000] lr: 7.650e-06, eta: 1:23:25, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1593, decode.acc_seg: 93.0716, aux.loss_ce: 0.0962, aux.acc_seg: 90.2720, loss: 0.2554 2023-11-14 01:18:28,121 - mmseg - INFO - Iter [139650/160000] lr: 7.632e-06, eta: 1:23:13, time: 0.260, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1647, decode.acc_seg: 93.0731, aux.loss_ce: 0.1027, aux.acc_seg: 89.9183, loss: 0.2674 2023-11-14 01:18:39,809 - mmseg - INFO - Iter [139700/160000] lr: 7.613e-06, eta: 1:23:00, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1565, decode.acc_seg: 93.1365, aux.loss_ce: 0.0964, aux.acc_seg: 90.3220, loss: 0.2529 2023-11-14 01:18:51,534 - mmseg - INFO - Iter [139750/160000] lr: 7.594e-06, eta: 1:22:48, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1610, decode.acc_seg: 93.0938, aux.loss_ce: 0.0984, aux.acc_seg: 90.1244, loss: 0.2595 2023-11-14 01:19:03,448 - mmseg - INFO - Iter [139800/160000] lr: 7.575e-06, eta: 1:22:36, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1622, decode.acc_seg: 93.0250, aux.loss_ce: 0.0979, aux.acc_seg: 90.2011, loss: 0.2600 2023-11-14 01:19:16,359 - mmseg - INFO - Iter [139850/160000] lr: 7.557e-06, eta: 1:22:23, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1670, decode.acc_seg: 92.9115, aux.loss_ce: 0.1002, aux.acc_seg: 89.9797, loss: 0.2673 2023-11-14 01:19:28,415 - mmseg - INFO - Iter [139900/160000] lr: 7.538e-06, eta: 1:22:11, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1584, decode.acc_seg: 93.2366, aux.loss_ce: 0.1001, aux.acc_seg: 90.0491, loss: 0.2585 2023-11-14 01:19:40,039 - mmseg - INFO - Iter [139950/160000] lr: 7.519e-06, eta: 1:21:59, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1552, decode.acc_seg: 93.1932, aux.loss_ce: 0.0948, aux.acc_seg: 90.4776, loss: 0.2500 2023-11-14 01:19:51,857 - mmseg - INFO - Saving checkpoint at 140000 iterations 2023-11-14 01:19:54,339 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:19:54,339 - mmseg - INFO - Iter [140000/160000] lr: 7.500e-06, eta: 1:21:47, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1611, decode.acc_seg: 93.0487, aux.loss_ce: 0.0986, aux.acc_seg: 90.1611, loss: 0.2597 2023-11-14 01:20:06,158 - mmseg - INFO - Iter [140050/160000] lr: 7.482e-06, eta: 1:21:34, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1574, decode.acc_seg: 93.2248, aux.loss_ce: 0.0955, aux.acc_seg: 90.4994, loss: 0.2529 2023-11-14 01:20:17,809 - mmseg - INFO - Iter [140100/160000] lr: 7.463e-06, eta: 1:21:22, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1526, decode.acc_seg: 93.3501, aux.loss_ce: 0.0918, aux.acc_seg: 90.7729, loss: 0.2444 2023-11-14 01:20:29,419 - mmseg - INFO - Iter [140150/160000] lr: 7.444e-06, eta: 1:21:10, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1525, decode.acc_seg: 93.3562, aux.loss_ce: 0.0932, aux.acc_seg: 90.5248, loss: 0.2457 2023-11-14 01:20:44,262 - mmseg - INFO - Iter [140200/160000] lr: 7.425e-06, eta: 1:20:58, time: 0.297, data_time: 0.050, memory: 5958, decode.loss_ce: 0.1653, decode.acc_seg: 93.0619, aux.loss_ce: 0.0957, aux.acc_seg: 90.5621, loss: 0.2610 2023-11-14 01:20:57,322 - mmseg - INFO - Iter [140250/160000] lr: 7.407e-06, eta: 1:20:46, time: 0.261, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1700, decode.acc_seg: 92.8927, aux.loss_ce: 0.1040, aux.acc_seg: 89.9308, loss: 0.2740 2023-11-14 01:21:09,015 - mmseg - INFO - Iter [140300/160000] lr: 7.388e-06, eta: 1:20:33, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1482, decode.acc_seg: 93.6867, aux.loss_ce: 0.0906, aux.acc_seg: 90.9940, loss: 0.2388 2023-11-14 01:21:21,831 - mmseg - INFO - Iter [140350/160000] lr: 7.369e-06, eta: 1:20:21, time: 0.256, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1517, decode.acc_seg: 93.2252, aux.loss_ce: 0.0941, aux.acc_seg: 90.3881, loss: 0.2458 2023-11-14 01:21:34,493 - mmseg - INFO - Iter [140400/160000] lr: 7.350e-06, eta: 1:20:09, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1551, decode.acc_seg: 93.5304, aux.loss_ce: 0.0936, aux.acc_seg: 91.0147, loss: 0.2487 2023-11-14 01:21:46,204 - mmseg - INFO - Iter [140450/160000] lr: 7.332e-06, eta: 1:19:56, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1553, decode.acc_seg: 93.2675, aux.loss_ce: 0.0968, aux.acc_seg: 90.1761, loss: 0.2521 2023-11-14 01:21:58,764 - mmseg - INFO - Iter [140500/160000] lr: 7.313e-06, eta: 1:19:44, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1479, decode.acc_seg: 93.5541, aux.loss_ce: 0.0890, aux.acc_seg: 90.9435, loss: 0.2368 2023-11-14 01:22:10,504 - mmseg - INFO - Iter [140550/160000] lr: 7.294e-06, eta: 1:19:32, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1502, decode.acc_seg: 93.4985, aux.loss_ce: 0.0939, aux.acc_seg: 90.7776, loss: 0.2441 2023-11-14 01:22:22,422 - mmseg - INFO - Iter [140600/160000] lr: 7.275e-06, eta: 1:19:20, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1549, decode.acc_seg: 93.1810, aux.loss_ce: 0.0947, aux.acc_seg: 90.1950, loss: 0.2496 2023-11-14 01:22:34,032 - mmseg - INFO - Iter [140650/160000] lr: 7.257e-06, eta: 1:19:07, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1561, decode.acc_seg: 93.4287, aux.loss_ce: 0.0935, aux.acc_seg: 90.6673, loss: 0.2497 2023-11-14 01:22:46,495 - mmseg - INFO - Iter [140700/160000] lr: 7.238e-06, eta: 1:18:55, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1579, decode.acc_seg: 93.2813, aux.loss_ce: 0.0944, aux.acc_seg: 90.6642, loss: 0.2523 2023-11-14 01:22:59,015 - mmseg - INFO - Iter [140750/160000] lr: 7.219e-06, eta: 1:18:43, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1571, decode.acc_seg: 93.3206, aux.loss_ce: 0.0967, aux.acc_seg: 90.1939, loss: 0.2538 2023-11-14 01:23:11,083 - mmseg - INFO - Iter [140800/160000] lr: 7.200e-06, eta: 1:18:30, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1637, decode.acc_seg: 93.0262, aux.loss_ce: 0.0999, aux.acc_seg: 90.1778, loss: 0.2637 2023-11-14 01:23:22,706 - mmseg - INFO - Iter [140850/160000] lr: 7.182e-06, eta: 1:18:18, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1617, decode.acc_seg: 93.1008, aux.loss_ce: 0.0988, aux.acc_seg: 90.1303, loss: 0.2605 2023-11-14 01:23:34,528 - mmseg - INFO - Iter [140900/160000] lr: 7.163e-06, eta: 1:18:06, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1630, decode.acc_seg: 93.0710, aux.loss_ce: 0.0988, aux.acc_seg: 90.2016, loss: 0.2618 2023-11-14 01:23:46,142 - mmseg - INFO - Iter [140950/160000] lr: 7.144e-06, eta: 1:17:53, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1470, decode.acc_seg: 93.5825, aux.loss_ce: 0.0912, aux.acc_seg: 90.6460, loss: 0.2382 2023-11-14 01:23:58,184 - mmseg - INFO - Saving checkpoint at 141000 iterations 2023-11-14 01:24:00,679 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:24:00,679 - mmseg - INFO - Iter [141000/160000] lr: 7.125e-06, eta: 1:17:41, time: 0.291, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1566, decode.acc_seg: 93.3731, aux.loss_ce: 0.0950, aux.acc_seg: 90.5904, loss: 0.2516 2023-11-14 01:24:12,282 - mmseg - INFO - Iter [141050/160000] lr: 7.107e-06, eta: 1:17:29, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1552, decode.acc_seg: 93.2807, aux.loss_ce: 0.0993, aux.acc_seg: 90.0827, loss: 0.2545 2023-11-14 01:24:23,886 - mmseg - INFO - Iter [141100/160000] lr: 7.088e-06, eta: 1:17:17, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1673, decode.acc_seg: 92.9833, aux.loss_ce: 0.1054, aux.acc_seg: 89.7018, loss: 0.2728 2023-11-14 01:24:36,075 - mmseg - INFO - Iter [141150/160000] lr: 7.069e-06, eta: 1:17:04, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1591, decode.acc_seg: 93.1437, aux.loss_ce: 0.0976, aux.acc_seg: 90.2434, loss: 0.2567 2023-11-14 01:24:47,740 - mmseg - INFO - Iter [141200/160000] lr: 7.050e-06, eta: 1:16:52, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1545, decode.acc_seg: 93.4473, aux.loss_ce: 0.0966, aux.acc_seg: 90.4066, loss: 0.2511 2023-11-14 01:25:00,412 - mmseg - INFO - Iter [141250/160000] lr: 7.032e-06, eta: 1:16:40, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1562, decode.acc_seg: 93.2919, aux.loss_ce: 0.0951, aux.acc_seg: 90.4326, loss: 0.2514 2023-11-14 01:25:12,086 - mmseg - INFO - Iter [141300/160000] lr: 7.013e-06, eta: 1:16:28, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1475, decode.acc_seg: 93.5373, aux.loss_ce: 0.0956, aux.acc_seg: 90.4650, loss: 0.2431 2023-11-14 01:25:23,711 - mmseg - INFO - Iter [141350/160000] lr: 6.994e-06, eta: 1:16:15, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1718, decode.acc_seg: 92.7891, aux.loss_ce: 0.1038, aux.acc_seg: 89.8518, loss: 0.2756 2023-11-14 01:25:35,461 - mmseg - INFO - Iter [141400/160000] lr: 6.975e-06, eta: 1:16:03, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1548, decode.acc_seg: 93.3284, aux.loss_ce: 0.0945, aux.acc_seg: 90.7318, loss: 0.2493 2023-11-14 01:25:47,293 - mmseg - INFO - Iter [141450/160000] lr: 6.957e-06, eta: 1:15:51, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1532, decode.acc_seg: 93.3605, aux.loss_ce: 0.0954, aux.acc_seg: 90.5086, loss: 0.2486 2023-11-14 01:26:03,072 - mmseg - INFO - Iter [141500/160000] lr: 6.938e-06, eta: 1:15:39, time: 0.316, data_time: 0.050, memory: 5958, decode.loss_ce: 0.1587, decode.acc_seg: 93.2641, aux.loss_ce: 0.0996, aux.acc_seg: 90.0569, loss: 0.2583 2023-11-14 01:26:14,833 - mmseg - INFO - Iter [141550/160000] lr: 6.919e-06, eta: 1:15:26, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1570, decode.acc_seg: 93.3662, aux.loss_ce: 0.0974, aux.acc_seg: 90.3498, loss: 0.2544 2023-11-14 01:26:27,182 - mmseg - INFO - Iter [141600/160000] lr: 6.900e-06, eta: 1:15:14, time: 0.247, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1491, decode.acc_seg: 93.5181, aux.loss_ce: 0.0939, aux.acc_seg: 90.7066, loss: 0.2431 2023-11-14 01:26:38,817 - mmseg - INFO - Iter [141650/160000] lr: 6.882e-06, eta: 1:15:02, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1615, decode.acc_seg: 92.9493, aux.loss_ce: 0.0986, aux.acc_seg: 90.1034, loss: 0.2601 2023-11-14 01:26:50,874 - mmseg - INFO - Iter [141700/160000] lr: 6.863e-06, eta: 1:14:50, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1542, decode.acc_seg: 93.3541, aux.loss_ce: 0.0951, aux.acc_seg: 90.4307, loss: 0.2492 2023-11-14 01:27:02,650 - mmseg - INFO - Iter [141750/160000] lr: 6.844e-06, eta: 1:14:37, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1515, decode.acc_seg: 93.4762, aux.loss_ce: 0.0937, aux.acc_seg: 90.6801, loss: 0.2452 2023-11-14 01:27:14,276 - mmseg - INFO - Iter [141800/160000] lr: 6.825e-06, eta: 1:14:25, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1581, decode.acc_seg: 93.3220, aux.loss_ce: 0.0990, aux.acc_seg: 90.4220, loss: 0.2571 2023-11-14 01:27:26,675 - mmseg - INFO - Iter [141850/160000] lr: 6.807e-06, eta: 1:14:13, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1485, decode.acc_seg: 93.5342, aux.loss_ce: 0.0912, aux.acc_seg: 90.7263, loss: 0.2397 2023-11-14 01:27:38,547 - mmseg - INFO - Iter [141900/160000] lr: 6.788e-06, eta: 1:14:00, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1465, decode.acc_seg: 93.6596, aux.loss_ce: 0.0911, aux.acc_seg: 90.6345, loss: 0.2377 2023-11-14 01:27:51,063 - mmseg - INFO - Iter [141950/160000] lr: 6.769e-06, eta: 1:13:48, time: 0.251, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1538, decode.acc_seg: 93.3774, aux.loss_ce: 0.0952, aux.acc_seg: 90.5648, loss: 0.2490 2023-11-14 01:28:02,738 - mmseg - INFO - Saving checkpoint at 142000 iterations 2023-11-14 01:28:05,339 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:28:05,339 - mmseg - INFO - Iter [142000/160000] lr: 6.750e-06, eta: 1:13:36, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1555, decode.acc_seg: 93.2110, aux.loss_ce: 0.0978, aux.acc_seg: 90.2531, loss: 0.2533 2023-11-14 01:28:17,047 - mmseg - INFO - Iter [142050/160000] lr: 6.732e-06, eta: 1:13:24, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1513, decode.acc_seg: 93.5641, aux.loss_ce: 0.0921, aux.acc_seg: 90.8316, loss: 0.2434 2023-11-14 01:28:30,844 - mmseg - INFO - Iter [142100/160000] lr: 6.713e-06, eta: 1:13:12, time: 0.275, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1614, decode.acc_seg: 93.2362, aux.loss_ce: 0.0971, aux.acc_seg: 90.3134, loss: 0.2585 2023-11-14 01:28:43,949 - mmseg - INFO - Iter [142150/160000] lr: 6.694e-06, eta: 1:12:59, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1603, decode.acc_seg: 93.1235, aux.loss_ce: 0.1001, aux.acc_seg: 89.9836, loss: 0.2605 2023-11-14 01:28:56,864 - mmseg - INFO - Iter [142200/160000] lr: 6.675e-06, eta: 1:12:47, time: 0.259, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1477, decode.acc_seg: 93.6342, aux.loss_ce: 0.0914, aux.acc_seg: 90.9095, loss: 0.2392 2023-11-14 01:29:08,611 - mmseg - INFO - Iter [142250/160000] lr: 6.657e-06, eta: 1:12:35, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1499, decode.acc_seg: 93.4657, aux.loss_ce: 0.0939, aux.acc_seg: 90.5016, loss: 0.2438 2023-11-14 01:29:20,405 - mmseg - INFO - Iter [142300/160000] lr: 6.638e-06, eta: 1:12:23, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1545, decode.acc_seg: 93.4178, aux.loss_ce: 0.0934, aux.acc_seg: 90.7046, loss: 0.2479 2023-11-14 01:29:32,775 - mmseg - INFO - Iter [142350/160000] lr: 6.619e-06, eta: 1:12:10, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1557, decode.acc_seg: 93.2895, aux.loss_ce: 0.0985, aux.acc_seg: 90.1278, loss: 0.2542 2023-11-14 01:29:44,859 - mmseg - INFO - Iter [142400/160000] lr: 6.600e-06, eta: 1:11:58, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1594, decode.acc_seg: 93.1407, aux.loss_ce: 0.0984, aux.acc_seg: 90.0696, loss: 0.2578 2023-11-14 01:29:56,715 - mmseg - INFO - Iter [142450/160000] lr: 6.582e-06, eta: 1:11:46, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1598, decode.acc_seg: 93.2071, aux.loss_ce: 0.0978, aux.acc_seg: 90.3299, loss: 0.2576 2023-11-14 01:30:08,697 - mmseg - INFO - Iter [142500/160000] lr: 6.563e-06, eta: 1:11:33, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1711, decode.acc_seg: 92.5623, aux.loss_ce: 0.1062, aux.acc_seg: 89.5010, loss: 0.2774 2023-11-14 01:30:20,495 - mmseg - INFO - Iter [142550/160000] lr: 6.544e-06, eta: 1:11:21, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1606, decode.acc_seg: 92.9694, aux.loss_ce: 0.0989, aux.acc_seg: 90.0080, loss: 0.2595 2023-11-14 01:30:32,165 - mmseg - INFO - Iter [142600/160000] lr: 6.525e-06, eta: 1:11:09, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1532, decode.acc_seg: 93.3575, aux.loss_ce: 0.0945, aux.acc_seg: 90.5867, loss: 0.2477 2023-11-14 01:30:44,612 - mmseg - INFO - Iter [142650/160000] lr: 6.507e-06, eta: 1:10:57, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1614, decode.acc_seg: 93.1564, aux.loss_ce: 0.0976, aux.acc_seg: 90.3894, loss: 0.2590 2023-11-14 01:30:56,381 - mmseg - INFO - Iter [142700/160000] lr: 6.488e-06, eta: 1:10:44, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1579, decode.acc_seg: 93.3950, aux.loss_ce: 0.1014, aux.acc_seg: 90.0994, loss: 0.2593 2023-11-14 01:31:11,425 - mmseg - INFO - Iter [142750/160000] lr: 6.469e-06, eta: 1:10:32, time: 0.301, data_time: 0.050, memory: 5958, decode.loss_ce: 0.1718, decode.acc_seg: 92.6574, aux.loss_ce: 0.1071, aux.acc_seg: 89.5097, loss: 0.2789 2023-11-14 01:31:23,132 - mmseg - INFO - Iter [142800/160000] lr: 6.450e-06, eta: 1:10:20, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1629, decode.acc_seg: 93.2965, aux.loss_ce: 0.0978, aux.acc_seg: 90.4552, loss: 0.2607 2023-11-14 01:31:35,522 - mmseg - INFO - Iter [142850/160000] lr: 6.432e-06, eta: 1:10:08, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1602, decode.acc_seg: 93.1964, aux.loss_ce: 0.0994, aux.acc_seg: 90.2090, loss: 0.2595 2023-11-14 01:31:47,310 - mmseg - INFO - Iter [142900/160000] lr: 6.413e-06, eta: 1:09:55, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1598, decode.acc_seg: 93.3560, aux.loss_ce: 0.1014, aux.acc_seg: 90.2670, loss: 0.2612 2023-11-14 01:31:59,725 - mmseg - INFO - Iter [142950/160000] lr: 6.394e-06, eta: 1:09:43, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1568, decode.acc_seg: 93.0439, aux.loss_ce: 0.0983, aux.acc_seg: 89.9767, loss: 0.2551 2023-11-14 01:32:11,416 - mmseg - INFO - Saving checkpoint at 143000 iterations 2023-11-14 01:32:14,022 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:32:14,022 - mmseg - INFO - Iter [143000/160000] lr: 6.375e-06, eta: 1:09:31, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1654, decode.acc_seg: 92.9971, aux.loss_ce: 0.1018, aux.acc_seg: 89.9438, loss: 0.2673 2023-11-14 01:32:25,716 - mmseg - INFO - Iter [143050/160000] lr: 6.357e-06, eta: 1:09:19, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1616, decode.acc_seg: 93.1161, aux.loss_ce: 0.0996, aux.acc_seg: 90.2472, loss: 0.2612 2023-11-14 01:32:37,343 - mmseg - INFO - Iter [143100/160000] lr: 6.338e-06, eta: 1:09:06, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1579, decode.acc_seg: 93.3010, aux.loss_ce: 0.0988, aux.acc_seg: 90.2736, loss: 0.2567 2023-11-14 01:32:48,996 - mmseg - INFO - Iter [143150/160000] lr: 6.319e-06, eta: 1:08:54, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1587, decode.acc_seg: 93.3845, aux.loss_ce: 0.0984, aux.acc_seg: 90.4070, loss: 0.2572 2023-11-14 01:33:00,880 - mmseg - INFO - Iter [143200/160000] lr: 6.300e-06, eta: 1:08:42, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1539, decode.acc_seg: 93.3681, aux.loss_ce: 0.0964, aux.acc_seg: 90.4641, loss: 0.2503 2023-11-14 01:33:12,604 - mmseg - INFO - Iter [143250/160000] lr: 6.282e-06, eta: 1:08:29, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1545, decode.acc_seg: 93.1217, aux.loss_ce: 0.0963, aux.acc_seg: 90.0042, loss: 0.2508 2023-11-14 01:33:24,216 - mmseg - INFO - Iter [143300/160000] lr: 6.263e-06, eta: 1:08:17, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1609, decode.acc_seg: 92.9157, aux.loss_ce: 0.0990, aux.acc_seg: 89.8867, loss: 0.2599 2023-11-14 01:33:35,981 - mmseg - INFO - Iter [143350/160000] lr: 6.244e-06, eta: 1:08:05, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1599, decode.acc_seg: 93.1654, aux.loss_ce: 0.0976, aux.acc_seg: 90.4339, loss: 0.2575 2023-11-14 01:33:47,648 - mmseg - INFO - Iter [143400/160000] lr: 6.225e-06, eta: 1:07:52, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1637, decode.acc_seg: 93.1243, aux.loss_ce: 0.1004, aux.acc_seg: 89.9593, loss: 0.2642 2023-11-14 01:33:59,328 - mmseg - INFO - Iter [143450/160000] lr: 6.207e-06, eta: 1:07:40, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1545, decode.acc_seg: 93.4277, aux.loss_ce: 0.0946, aux.acc_seg: 90.5554, loss: 0.2491 2023-11-14 01:34:11,791 - mmseg - INFO - Iter [143500/160000] lr: 6.188e-06, eta: 1:07:28, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1541, decode.acc_seg: 93.2837, aux.loss_ce: 0.0937, aux.acc_seg: 90.7071, loss: 0.2478 2023-11-14 01:34:23,448 - mmseg - INFO - Iter [143550/160000] lr: 6.169e-06, eta: 1:07:15, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1556, decode.acc_seg: 93.3701, aux.loss_ce: 0.0979, aux.acc_seg: 90.5413, loss: 0.2536 2023-11-14 01:34:35,123 - mmseg - INFO - Iter [143600/160000] lr: 6.150e-06, eta: 1:07:03, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1595, decode.acc_seg: 93.1862, aux.loss_ce: 0.0971, aux.acc_seg: 90.1893, loss: 0.2566 2023-11-14 01:34:47,533 - mmseg - INFO - Iter [143650/160000] lr: 6.132e-06, eta: 1:06:51, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1488, decode.acc_seg: 93.6256, aux.loss_ce: 0.0910, aux.acc_seg: 90.8160, loss: 0.2398 2023-11-14 01:34:59,364 - mmseg - INFO - Iter [143700/160000] lr: 6.113e-06, eta: 1:06:39, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1589, decode.acc_seg: 93.2980, aux.loss_ce: 0.0957, aux.acc_seg: 90.4777, loss: 0.2546 2023-11-14 01:35:12,311 - mmseg - INFO - Iter [143750/160000] lr: 6.094e-06, eta: 1:06:26, time: 0.258, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1526, decode.acc_seg: 93.3505, aux.loss_ce: 0.0949, aux.acc_seg: 90.5576, loss: 0.2475 2023-11-14 01:35:24,565 - mmseg - INFO - Iter [143800/160000] lr: 6.075e-06, eta: 1:06:14, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1640, decode.acc_seg: 92.9496, aux.loss_ce: 0.0970, aux.acc_seg: 90.3478, loss: 0.2610 2023-11-14 01:35:36,402 - mmseg - INFO - Iter [143850/160000] lr: 6.057e-06, eta: 1:06:02, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1549, decode.acc_seg: 93.4452, aux.loss_ce: 0.0934, aux.acc_seg: 90.7784, loss: 0.2483 2023-11-14 01:35:48,200 - mmseg - INFO - Iter [143900/160000] lr: 6.038e-06, eta: 1:05:49, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1580, decode.acc_seg: 93.0727, aux.loss_ce: 0.0974, aux.acc_seg: 89.9885, loss: 0.2554 2023-11-14 01:36:01,513 - mmseg - INFO - Iter [143950/160000] lr: 6.019e-06, eta: 1:05:37, time: 0.266, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1509, decode.acc_seg: 93.4269, aux.loss_ce: 0.0958, aux.acc_seg: 90.5198, loss: 0.2467 2023-11-14 01:36:16,019 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-11-14 01:36:18,677 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:36:18,678 - mmseg - INFO - Iter [144000/160000] lr: 6.000e-06, eta: 1:05:26, time: 0.343, data_time: 0.047, memory: 5958, decode.loss_ce: 0.1567, decode.acc_seg: 93.3588, aux.loss_ce: 0.0940, aux.acc_seg: 90.7229, loss: 0.2507 2023-11-14 01:36:32,645 - mmseg - INFO - per class results: 2023-11-14 01:36:32,651 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.56 | 88.47 | | building | 83.25 | 92.4 | | sky | 94.62 | 97.66 | | floor | 81.91 | 90.58 | | tree | 73.79 | 87.69 | | ceiling | 85.1 | 92.68 | | road | 85.15 | 91.63 | | bed | 90.33 | 96.58 | | windowpane | 63.26 | 79.99 | | grass | 65.47 | 78.59 | | cabinet | 61.6 | 74.02 | | sidewalk | 67.96 | 83.1 | | person | 82.08 | 93.48 | | earth | 37.79 | 52.44 | | door | 54.04 | 69.43 | | table | 62.86 | 80.73 | | mountain | 58.73 | 74.15 | | plant | 51.05 | 62.61 | | curtain | 73.42 | 86.91 | | chair | 59.99 | 74.06 | | car | 85.21 | 92.91 | | water | 51.3 | 65.41 | | painting | 70.42 | 87.37 | | sofa | 68.0 | 83.39 | | shelf | 42.44 | 56.63 | | house | 50.32 | 71.46 | | sea | 57.18 | 76.2 | | mirror | 71.52 | 77.11 | | rug | 60.72 | 73.52 | | field | 29.45 | 45.49 | | armchair | 45.19 | 63.68 | | seat | 62.22 | 82.27 | | fence | 48.1 | 65.89 | | desk | 50.12 | 67.76 | | rock | 44.04 | 69.92 | | wardrobe | 51.23 | 70.1 | | lamp | 66.51 | 78.3 | | bathtub | 75.93 | 81.06 | | railing | 36.93 | 49.87 | | cushion | 60.16 | 70.2 | | base | 23.9 | 34.17 | | box | 27.99 | 37.02 | | column | 50.23 | 63.15 | | signboard | 39.43 | 52.95 | | chest of drawers | 42.77 | 62.4 | | counter | 32.91 | 44.99 | | sand | 44.71 | 63.2 | | sink | 70.97 | 81.34 | | skyscraper | 47.82 | 59.71 | | fireplace | 76.96 | 88.44 | | refrigerator | 78.73 | 86.8 | | grandstand | 50.97 | 75.08 | | path | 27.77 | 41.51 | | stairs | 33.93 | 41.75 | | runway | 64.23 | 85.83 | | case | 40.74 | 52.77 | | pool table | 93.12 | 97.39 | | pillow | 59.5 | 69.96 | | screen door | 74.65 | 85.06 | | stairway | 30.45 | 37.33 | | river | 7.32 | 18.83 | | bridge | 73.39 | 81.69 | | bookcase | 41.93 | 55.06 | | blind | 40.78 | 46.05 | | coffee table | 63.78 | 85.7 | | toilet | 85.58 | 91.0 | | flower | 40.41 | 49.79 | | book | 48.92 | 74.5 | | hill | 10.3 | 15.92 | | bench | 48.57 | 55.91 | | countertop | 54.94 | 75.1 | | stove | 78.44 | 84.77 | | palm | 53.24 | 71.49 | | kitchen island | 39.98 | 69.82 | | computer | 73.63 | 81.26 | | swivel chair | 44.36 | 58.39 | | boat | 44.51 | 53.52 | | bar | 42.55 | 57.45 | | arcade machine | 74.96 | 80.11 | | hovel | 24.82 | 27.2 | | bus | 90.12 | 97.54 | | towel | 64.41 | 76.8 | | light | 56.16 | 64.43 | | truck | 41.06 | 53.37 | | tower | 29.78 | 49.32 | | chandelier | 72.04 | 84.19 | | awning | 30.1 | 35.53 | | streetlight | 29.92 | 39.53 | | booth | 42.95 | 44.88 | | television receiver | 73.65 | 81.02 | | airplane | 60.35 | 71.97 | | dirt track | 16.93 | 32.09 | | apparel | 46.66 | 61.11 | | pole | 23.35 | 34.56 | | land | 4.78 | 6.3 | | bannister | 16.96 | 21.69 | | escalator | 33.59 | 44.46 | | ottoman | 51.83 | 69.28 | | bottle | 39.37 | 62.98 | | buffet | 34.99 | 43.2 | | poster | 32.71 | 42.96 | | stage | 21.0 | 29.02 | | van | 43.03 | 56.58 | | ship | 10.5 | 15.49 | | fountain | 19.91 | 21.08 | | conveyer belt | 58.95 | 82.42 | | canopy | 18.54 | 26.89 | | washer | 73.28 | 75.56 | | plaything | 26.32 | 37.57 | | swimming pool | 43.44 | 67.17 | | stool | 45.62 | 63.42 | | barrel | 48.15 | 72.98 | | basket | 34.51 | 42.18 | | waterfall | 50.72 | 62.61 | | tent | 93.26 | 98.52 | | bag | 17.72 | 21.67 | | minibike | 68.68 | 84.24 | | cradle | 84.85 | 95.95 | | oven | 51.29 | 69.64 | | ball | 49.93 | 64.02 | | food | 57.59 | 66.24 | | step | 14.44 | 18.29 | | tank | 58.83 | 64.38 | | trade name | 31.0 | 35.62 | | microwave | 79.99 | 88.61 | | pot | 46.95 | 55.11 | | animal | 67.04 | 70.48 | | bicycle | 54.57 | 71.77 | | lake | 30.51 | 35.2 | | dishwasher | 75.55 | 81.24 | | screen | 50.88 | 70.48 | | blanket | 17.71 | 21.57 | | sculpture | 67.32 | 83.52 | | hood | 59.92 | 67.95 | | sconce | 50.24 | 62.85 | | vase | 44.26 | 57.07 | | traffic light | 35.03 | 58.06 | | tray | 10.18 | 21.55 | | ashcan | 48.17 | 58.69 | | fan | 65.15 | 76.51 | | pier | 29.76 | 45.97 | | crt screen | 3.8 | 11.66 | | plate | 55.09 | 70.99 | | monitor | 9.79 | 11.55 | | bulletin board | 39.21 | 55.48 | | shower | 4.92 | 6.37 | | radiator | 58.11 | 64.78 | | glass | 15.99 | 17.38 | | clock | 42.19 | 50.92 | | flag | 43.73 | 47.09 | +---------------------+-------+-------+ 2023-11-14 01:36:32,651 - mmseg - INFO - Summary: 2023-11-14 01:36:32,651 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.62 | 50.41 | 62.14 | +-------+-------+-------+ 2023-11-14 01:36:32,652 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:36:32,652 - mmseg - INFO - Iter(val) [250] aAcc: 0.8362, mIoU: 0.5041, mAcc: 0.6214, IoU.wall: 0.7856, IoU.building: 0.8325, IoU.sky: 0.9462, IoU.floor: 0.8191, IoU.tree: 0.7379, IoU.ceiling: 0.8510, IoU.road: 0.8515, IoU.bed : 0.9033, IoU.windowpane: 0.6326, IoU.grass: 0.6547, IoU.cabinet: 0.6160, IoU.sidewalk: 0.6796, IoU.person: 0.8208, IoU.earth: 0.3779, IoU.door: 0.5404, IoU.table: 0.6286, IoU.mountain: 0.5873, IoU.plant: 0.5105, IoU.curtain: 0.7342, IoU.chair: 0.5999, IoU.car: 0.8521, IoU.water: 0.5130, IoU.painting: 0.7042, IoU.sofa: 0.6800, IoU.shelf: 0.4244, IoU.house: 0.5032, IoU.sea: 0.5718, IoU.mirror: 0.7152, IoU.rug: 0.6072, IoU.field: 0.2945, IoU.armchair: 0.4519, IoU.seat: 0.6222, IoU.fence: 0.4810, IoU.desk: 0.5012, IoU.rock: 0.4404, IoU.wardrobe: 0.5123, IoU.lamp: 0.6651, IoU.bathtub: 0.7593, IoU.railing: 0.3693, IoU.cushion: 0.6016, IoU.base: 0.2390, IoU.box: 0.2799, IoU.column: 0.5023, IoU.signboard: 0.3943, IoU.chest of drawers: 0.4277, IoU.counter: 0.3291, IoU.sand: 0.4471, IoU.sink: 0.7097, IoU.skyscraper: 0.4782, IoU.fireplace: 0.7696, IoU.refrigerator: 0.7873, IoU.grandstand: 0.5097, IoU.path: 0.2777, IoU.stairs: 0.3393, IoU.runway: 0.6423, IoU.case: 0.4074, IoU.pool table: 0.9312, IoU.pillow: 0.5950, IoU.screen door: 0.7465, IoU.stairway: 0.3045, IoU.river: 0.0732, IoU.bridge: 0.7339, IoU.bookcase: 0.4193, IoU.blind: 0.4078, IoU.coffee table: 0.6378, IoU.toilet: 0.8558, IoU.flower: 0.4041, IoU.book: 0.4892, IoU.hill: 0.1030, IoU.bench: 0.4857, IoU.countertop: 0.5494, IoU.stove: 0.7844, IoU.palm: 0.5324, IoU.kitchen island: 0.3998, IoU.computer: 0.7363, IoU.swivel chair: 0.4436, IoU.boat: 0.4451, IoU.bar: 0.4255, IoU.arcade machine: 0.7496, IoU.hovel: 0.2482, IoU.bus: 0.9012, IoU.towel: 0.6441, IoU.light: 0.5616, IoU.truck: 0.4106, IoU.tower: 0.2978, IoU.chandelier: 0.7204, IoU.awning: 0.3010, IoU.streetlight: 0.2992, IoU.booth: 0.4295, IoU.television receiver: 0.7365, IoU.airplane: 0.6035, IoU.dirt track: 0.1693, IoU.apparel: 0.4666, IoU.pole: 0.2335, IoU.land: 0.0478, IoU.bannister: 0.1696, IoU.escalator: 0.3359, IoU.ottoman: 0.5183, IoU.bottle: 0.3937, IoU.buffet: 0.3499, IoU.poster: 0.3271, IoU.stage: 0.2100, IoU.van: 0.4303, IoU.ship: 0.1050, IoU.fountain: 0.1991, IoU.conveyer belt: 0.5895, IoU.canopy: 0.1854, IoU.washer: 0.7328, IoU.plaything: 0.2632, IoU.swimming pool: 0.4344, IoU.stool: 0.4562, IoU.barrel: 0.4815, IoU.basket: 0.3451, IoU.waterfall: 0.5072, IoU.tent: 0.9326, IoU.bag: 0.1772, IoU.minibike: 0.6868, IoU.cradle: 0.8485, IoU.oven: 0.5129, IoU.ball: 0.4993, IoU.food: 0.5759, IoU.step: 0.1444, IoU.tank: 0.5883, IoU.trade name: 0.3100, IoU.microwave: 0.7999, IoU.pot: 0.4695, IoU.animal: 0.6704, IoU.bicycle: 0.5457, IoU.lake: 0.3051, IoU.dishwasher: 0.7555, IoU.screen: 0.5088, IoU.blanket: 0.1771, IoU.sculpture: 0.6732, IoU.hood: 0.5992, IoU.sconce: 0.5024, IoU.vase: 0.4426, IoU.traffic light: 0.3503, IoU.tray: 0.1018, IoU.ashcan: 0.4817, IoU.fan: 0.6515, IoU.pier: 0.2976, IoU.crt screen: 0.0380, IoU.plate: 0.5509, IoU.monitor: 0.0979, IoU.bulletin board: 0.3921, IoU.shower: 0.0492, IoU.radiator: 0.5811, IoU.glass: 0.1599, IoU.clock: 0.4219, IoU.flag: 0.4373, Acc.wall: 0.8847, Acc.building: 0.9240, Acc.sky: 0.9766, Acc.floor: 0.9058, Acc.tree: 0.8769, Acc.ceiling: 0.9268, Acc.road: 0.9163, Acc.bed : 0.9658, Acc.windowpane: 0.7999, Acc.grass: 0.7859, Acc.cabinet: 0.7402, Acc.sidewalk: 0.8310, Acc.person: 0.9348, Acc.earth: 0.5244, Acc.door: 0.6943, Acc.table: 0.8073, Acc.mountain: 0.7415, Acc.plant: 0.6261, Acc.curtain: 0.8691, Acc.chair: 0.7406, Acc.car: 0.9291, Acc.water: 0.6541, Acc.painting: 0.8737, Acc.sofa: 0.8339, Acc.shelf: 0.5663, Acc.house: 0.7146, Acc.sea: 0.7620, Acc.mirror: 0.7711, Acc.rug: 0.7352, Acc.field: 0.4549, Acc.armchair: 0.6368, Acc.seat: 0.8227, Acc.fence: 0.6589, Acc.desk: 0.6776, Acc.rock: 0.6992, Acc.wardrobe: 0.7010, Acc.lamp: 0.7830, Acc.bathtub: 0.8106, Acc.railing: 0.4987, Acc.cushion: 0.7020, Acc.base: 0.3417, Acc.box: 0.3702, Acc.column: 0.6315, Acc.signboard: 0.5295, Acc.chest of drawers: 0.6240, Acc.counter: 0.4499, Acc.sand: 0.6320, Acc.sink: 0.8134, Acc.skyscraper: 0.5971, Acc.fireplace: 0.8844, Acc.refrigerator: 0.8680, Acc.grandstand: 0.7508, Acc.path: 0.4151, Acc.stairs: 0.4175, Acc.runway: 0.8583, Acc.case: 0.5277, Acc.pool table: 0.9739, Acc.pillow: 0.6996, Acc.screen door: 0.8506, Acc.stairway: 0.3733, Acc.river: 0.1883, Acc.bridge: 0.8169, Acc.bookcase: 0.5506, Acc.blind: 0.4605, Acc.coffee table: 0.8570, Acc.toilet: 0.9100, Acc.flower: 0.4979, Acc.book: 0.7450, Acc.hill: 0.1592, Acc.bench: 0.5591, Acc.countertop: 0.7510, Acc.stove: 0.8477, Acc.palm: 0.7149, Acc.kitchen island: 0.6982, Acc.computer: 0.8126, Acc.swivel chair: 0.5839, Acc.boat: 0.5352, Acc.bar: 0.5745, Acc.arcade machine: 0.8011, Acc.hovel: 0.2720, Acc.bus: 0.9754, Acc.towel: 0.7680, Acc.light: 0.6443, Acc.truck: 0.5337, Acc.tower: 0.4932, Acc.chandelier: 0.8419, Acc.awning: 0.3553, Acc.streetlight: 0.3953, Acc.booth: 0.4488, Acc.television receiver: 0.8102, Acc.airplane: 0.7197, Acc.dirt track: 0.3209, Acc.apparel: 0.6111, Acc.pole: 0.3456, Acc.land: 0.0630, Acc.bannister: 0.2169, Acc.escalator: 0.4446, Acc.ottoman: 0.6928, Acc.bottle: 0.6298, Acc.buffet: 0.4320, Acc.poster: 0.4296, Acc.stage: 0.2902, Acc.van: 0.5658, Acc.ship: 0.1549, Acc.fountain: 0.2108, Acc.conveyer belt: 0.8242, Acc.canopy: 0.2689, Acc.washer: 0.7556, Acc.plaything: 0.3757, Acc.swimming pool: 0.6717, Acc.stool: 0.6342, Acc.barrel: 0.7298, Acc.basket: 0.4218, Acc.waterfall: 0.6261, Acc.tent: 0.9852, Acc.bag: 0.2167, Acc.minibike: 0.8424, Acc.cradle: 0.9595, Acc.oven: 0.6964, Acc.ball: 0.6402, Acc.food: 0.6624, Acc.step: 0.1829, Acc.tank: 0.6438, Acc.trade name: 0.3562, Acc.microwave: 0.8861, Acc.pot: 0.5511, Acc.animal: 0.7048, Acc.bicycle: 0.7177, Acc.lake: 0.3520, Acc.dishwasher: 0.8124, Acc.screen: 0.7048, Acc.blanket: 0.2157, Acc.sculpture: 0.8352, Acc.hood: 0.6795, Acc.sconce: 0.6285, Acc.vase: 0.5707, Acc.traffic light: 0.5806, Acc.tray: 0.2155, Acc.ashcan: 0.5869, Acc.fan: 0.7651, Acc.pier: 0.4597, Acc.crt screen: 0.1166, Acc.plate: 0.7099, Acc.monitor: 0.1155, Acc.bulletin board: 0.5548, Acc.shower: 0.0637, Acc.radiator: 0.6478, Acc.glass: 0.1738, Acc.clock: 0.5092, Acc.flag: 0.4709 2023-11-14 01:36:44,634 - mmseg - INFO - Iter [144050/160000] lr: 5.982e-06, eta: 1:05:15, time: 0.519, data_time: 0.284, memory: 5958, decode.loss_ce: 0.1571, decode.acc_seg: 93.2912, aux.loss_ce: 0.0973, aux.acc_seg: 90.2720, loss: 0.2544 2023-11-14 01:36:56,663 - mmseg - INFO - Iter [144100/160000] lr: 5.963e-06, eta: 1:05:03, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1575, decode.acc_seg: 93.2307, aux.loss_ce: 0.0970, aux.acc_seg: 90.3621, loss: 0.2545 2023-11-14 01:37:08,638 - mmseg - INFO - Iter [144150/160000] lr: 5.944e-06, eta: 1:04:50, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1514, decode.acc_seg: 93.3462, aux.loss_ce: 0.0950, aux.acc_seg: 90.3101, loss: 0.2464 2023-11-14 01:37:20,958 - mmseg - INFO - Iter [144200/160000] lr: 5.925e-06, eta: 1:04:38, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1619, decode.acc_seg: 92.9936, aux.loss_ce: 0.1002, aux.acc_seg: 90.0913, loss: 0.2621 2023-11-14 01:37:33,262 - mmseg - INFO - Iter [144250/160000] lr: 5.907e-06, eta: 1:04:26, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1524, decode.acc_seg: 93.2775, aux.loss_ce: 0.0919, aux.acc_seg: 90.6688, loss: 0.2443 2023-11-14 01:37:45,176 - mmseg - INFO - Iter [144300/160000] lr: 5.888e-06, eta: 1:04:13, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1560, decode.acc_seg: 93.2900, aux.loss_ce: 0.1001, aux.acc_seg: 90.0206, loss: 0.2561 2023-11-14 01:37:56,910 - mmseg - INFO - Iter [144350/160000] lr: 5.869e-06, eta: 1:04:01, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1546, decode.acc_seg: 93.1731, aux.loss_ce: 0.0965, aux.acc_seg: 90.1969, loss: 0.2510 2023-11-14 01:38:08,520 - mmseg - INFO - Iter [144400/160000] lr: 5.850e-06, eta: 1:03:49, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1520, decode.acc_seg: 93.5878, aux.loss_ce: 0.0923, aux.acc_seg: 90.7236, loss: 0.2444 2023-11-14 01:38:21,057 - mmseg - INFO - Iter [144450/160000] lr: 5.832e-06, eta: 1:03:36, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1480, decode.acc_seg: 93.6402, aux.loss_ce: 0.0899, aux.acc_seg: 90.9818, loss: 0.2378 2023-11-14 01:38:33,914 - mmseg - INFO - Iter [144500/160000] lr: 5.813e-06, eta: 1:03:24, time: 0.257, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1487, decode.acc_seg: 93.5952, aux.loss_ce: 0.0957, aux.acc_seg: 90.7543, loss: 0.2444 2023-11-14 01:38:46,777 - mmseg - INFO - Iter [144550/160000] lr: 5.794e-06, eta: 1:03:12, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1592, decode.acc_seg: 93.2367, aux.loss_ce: 0.0964, aux.acc_seg: 90.4409, loss: 0.2556 2023-11-14 01:38:58,404 - mmseg - INFO - Iter [144600/160000] lr: 5.775e-06, eta: 1:03:00, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1536, decode.acc_seg: 93.4470, aux.loss_ce: 0.0940, aux.acc_seg: 90.6460, loss: 0.2476 2023-11-14 01:39:11,361 - mmseg - INFO - Iter [144650/160000] lr: 5.757e-06, eta: 1:02:47, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1522, decode.acc_seg: 93.3928, aux.loss_ce: 0.0926, aux.acc_seg: 90.7245, loss: 0.2448 2023-11-14 01:39:22,972 - mmseg - INFO - Iter [144700/160000] lr: 5.738e-06, eta: 1:02:35, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1524, decode.acc_seg: 93.2877, aux.loss_ce: 0.0944, aux.acc_seg: 90.4091, loss: 0.2468 2023-11-14 01:39:34,630 - mmseg - INFO - Iter [144750/160000] lr: 5.719e-06, eta: 1:02:23, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1574, decode.acc_seg: 93.1832, aux.loss_ce: 0.0983, aux.acc_seg: 90.2940, loss: 0.2557 2023-11-14 01:39:46,548 - mmseg - INFO - Iter [144800/160000] lr: 5.700e-06, eta: 1:02:10, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1527, decode.acc_seg: 93.5533, aux.loss_ce: 0.0942, aux.acc_seg: 90.7853, loss: 0.2470 2023-11-14 01:39:58,775 - mmseg - INFO - Iter [144850/160000] lr: 5.682e-06, eta: 1:01:58, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1615, decode.acc_seg: 93.3513, aux.loss_ce: 0.0967, aux.acc_seg: 90.4441, loss: 0.2581 2023-11-14 01:40:10,521 - mmseg - INFO - Iter [144900/160000] lr: 5.663e-06, eta: 1:01:46, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1586, decode.acc_seg: 93.0253, aux.loss_ce: 0.0977, aux.acc_seg: 90.0435, loss: 0.2563 2023-11-14 01:40:22,173 - mmseg - INFO - Iter [144950/160000] lr: 5.644e-06, eta: 1:01:34, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1592, decode.acc_seg: 93.1185, aux.loss_ce: 0.0977, aux.acc_seg: 90.3118, loss: 0.2569 2023-11-14 01:40:34,011 - mmseg - INFO - Saving checkpoint at 145000 iterations 2023-11-14 01:40:36,505 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:40:36,505 - mmseg - INFO - Iter [145000/160000] lr: 5.625e-06, eta: 1:01:21, time: 0.287, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1657, decode.acc_seg: 92.7383, aux.loss_ce: 0.1025, aux.acc_seg: 89.5353, loss: 0.2682 2023-11-14 01:40:48,230 - mmseg - INFO - Iter [145050/160000] lr: 5.607e-06, eta: 1:01:09, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1520, decode.acc_seg: 93.4066, aux.loss_ce: 0.0949, aux.acc_seg: 90.4542, loss: 0.2469 2023-11-14 01:41:01,267 - mmseg - INFO - Iter [145100/160000] lr: 5.588e-06, eta: 1:00:57, time: 0.260, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1592, decode.acc_seg: 93.1170, aux.loss_ce: 0.0997, aux.acc_seg: 89.9452, loss: 0.2589 2023-11-14 01:41:13,265 - mmseg - INFO - Iter [145150/160000] lr: 5.569e-06, eta: 1:00:45, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1614, decode.acc_seg: 93.0368, aux.loss_ce: 0.0961, aux.acc_seg: 90.3888, loss: 0.2574 2023-11-14 01:41:25,254 - mmseg - INFO - Iter [145200/160000] lr: 5.550e-06, eta: 1:00:32, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1566, decode.acc_seg: 93.2052, aux.loss_ce: 0.0986, aux.acc_seg: 90.0201, loss: 0.2552 2023-11-14 01:41:40,086 - mmseg - INFO - Iter [145250/160000] lr: 5.532e-06, eta: 1:00:20, time: 0.296, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1599, decode.acc_seg: 93.3087, aux.loss_ce: 0.1000, aux.acc_seg: 90.3761, loss: 0.2599 2023-11-14 01:41:54,119 - mmseg - INFO - Iter [145300/160000] lr: 5.513e-06, eta: 1:00:08, time: 0.281, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1504, decode.acc_seg: 93.4186, aux.loss_ce: 0.0941, aux.acc_seg: 90.4202, loss: 0.2446 2023-11-14 01:42:06,300 - mmseg - INFO - Iter [145350/160000] lr: 5.494e-06, eta: 0:59:56, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1615, decode.acc_seg: 92.9575, aux.loss_ce: 0.0977, aux.acc_seg: 89.8591, loss: 0.2592 2023-11-14 01:42:18,050 - mmseg - INFO - Iter [145400/160000] lr: 5.475e-06, eta: 0:59:44, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1521, decode.acc_seg: 93.4119, aux.loss_ce: 0.0940, aux.acc_seg: 90.6148, loss: 0.2461 2023-11-14 01:42:29,649 - mmseg - INFO - Iter [145450/160000] lr: 5.457e-06, eta: 0:59:31, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1536, decode.acc_seg: 93.2335, aux.loss_ce: 0.0933, aux.acc_seg: 90.6780, loss: 0.2469 2023-11-14 01:42:42,622 - mmseg - INFO - Iter [145500/160000] lr: 5.438e-06, eta: 0:59:19, time: 0.259, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1480, decode.acc_seg: 93.6266, aux.loss_ce: 0.0920, aux.acc_seg: 90.8364, loss: 0.2400 2023-11-14 01:42:54,524 - mmseg - INFO - Iter [145550/160000] lr: 5.419e-06, eta: 0:59:07, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1607, decode.acc_seg: 93.1361, aux.loss_ce: 0.1001, aux.acc_seg: 90.0989, loss: 0.2608 2023-11-14 01:43:06,253 - mmseg - INFO - Iter [145600/160000] lr: 5.400e-06, eta: 0:58:54, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1508, decode.acc_seg: 93.5840, aux.loss_ce: 0.0955, aux.acc_seg: 90.3968, loss: 0.2462 2023-11-14 01:43:18,286 - mmseg - INFO - Iter [145650/160000] lr: 5.382e-06, eta: 0:58:42, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1509, decode.acc_seg: 93.3248, aux.loss_ce: 0.0959, aux.acc_seg: 90.2304, loss: 0.2468 2023-11-14 01:43:29,918 - mmseg - INFO - Iter [145700/160000] lr: 5.363e-06, eta: 0:58:30, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1531, decode.acc_seg: 93.3611, aux.loss_ce: 0.0947, aux.acc_seg: 90.6189, loss: 0.2477 2023-11-14 01:43:41,818 - mmseg - INFO - Iter [145750/160000] lr: 5.344e-06, eta: 0:58:18, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1560, decode.acc_seg: 93.3753, aux.loss_ce: 0.0954, aux.acc_seg: 90.5944, loss: 0.2514 2023-11-14 01:43:53,425 - mmseg - INFO - Iter [145800/160000] lr: 5.325e-06, eta: 0:58:05, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1502, decode.acc_seg: 93.6239, aux.loss_ce: 0.0913, aux.acc_seg: 90.9196, loss: 0.2415 2023-11-14 01:44:05,213 - mmseg - INFO - Iter [145850/160000] lr: 5.307e-06, eta: 0:57:53, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1568, decode.acc_seg: 93.2468, aux.loss_ce: 0.0985, aux.acc_seg: 90.0820, loss: 0.2554 2023-11-14 01:44:16,834 - mmseg - INFO - Iter [145900/160000] lr: 5.288e-06, eta: 0:57:41, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1539, decode.acc_seg: 93.3306, aux.loss_ce: 0.0987, aux.acc_seg: 90.0706, loss: 0.2526 2023-11-14 01:44:28,539 - mmseg - INFO - Iter [145950/160000] lr: 5.269e-06, eta: 0:57:28, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1522, decode.acc_seg: 93.1795, aux.loss_ce: 0.0953, aux.acc_seg: 90.2362, loss: 0.2474 2023-11-14 01:44:40,488 - mmseg - INFO - Saving checkpoint at 146000 iterations 2023-11-14 01:44:43,031 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:44:43,031 - mmseg - INFO - Iter [146000/160000] lr: 5.250e-06, eta: 0:57:16, time: 0.290, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1553, decode.acc_seg: 93.3167, aux.loss_ce: 0.0949, aux.acc_seg: 90.5246, loss: 0.2502 2023-11-14 01:44:54,766 - mmseg - INFO - Iter [146050/160000] lr: 5.232e-06, eta: 0:57:04, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1575, decode.acc_seg: 93.1380, aux.loss_ce: 0.0955, aux.acc_seg: 90.4633, loss: 0.2530 2023-11-14 01:45:06,504 - mmseg - INFO - Iter [146100/160000] lr: 5.213e-06, eta: 0:56:51, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1529, decode.acc_seg: 93.4209, aux.loss_ce: 0.1000, aux.acc_seg: 90.1012, loss: 0.2529 2023-11-14 01:45:18,361 - mmseg - INFO - Iter [146150/160000] lr: 5.194e-06, eta: 0:56:39, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1585, decode.acc_seg: 93.0768, aux.loss_ce: 0.1019, aux.acc_seg: 89.9844, loss: 0.2603 2023-11-14 01:45:30,044 - mmseg - INFO - Iter [146200/160000] lr: 5.175e-06, eta: 0:56:27, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1484, decode.acc_seg: 93.5847, aux.loss_ce: 0.0923, aux.acc_seg: 90.8919, loss: 0.2407 2023-11-14 01:45:41,661 - mmseg - INFO - Iter [146250/160000] lr: 5.157e-06, eta: 0:56:14, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1485, decode.acc_seg: 93.5892, aux.loss_ce: 0.0911, aux.acc_seg: 90.8083, loss: 0.2396 2023-11-14 01:45:53,823 - mmseg - INFO - Iter [146300/160000] lr: 5.138e-06, eta: 0:56:02, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1576, decode.acc_seg: 93.2090, aux.loss_ce: 0.0985, aux.acc_seg: 90.3090, loss: 0.2561 2023-11-14 01:46:05,632 - mmseg - INFO - Iter [146350/160000] lr: 5.119e-06, eta: 0:55:50, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1563, decode.acc_seg: 93.2596, aux.loss_ce: 0.0973, aux.acc_seg: 90.2042, loss: 0.2537 2023-11-14 01:46:17,418 - mmseg - INFO - Iter [146400/160000] lr: 5.100e-06, eta: 0:55:38, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1551, decode.acc_seg: 93.3183, aux.loss_ce: 0.0949, aux.acc_seg: 90.5953, loss: 0.2500 2023-11-14 01:46:30,158 - mmseg - INFO - Iter [146450/160000] lr: 5.082e-06, eta: 0:55:25, time: 0.255, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1577, decode.acc_seg: 93.2246, aux.loss_ce: 0.0985, aux.acc_seg: 90.1434, loss: 0.2562 2023-11-14 01:46:42,952 - mmseg - INFO - Iter [146500/160000] lr: 5.063e-06, eta: 0:55:13, time: 0.256, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1493, decode.acc_seg: 93.5055, aux.loss_ce: 0.0947, aux.acc_seg: 90.4285, loss: 0.2441 2023-11-14 01:46:57,159 - mmseg - INFO - Iter [146550/160000] lr: 5.044e-06, eta: 0:55:01, time: 0.284, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1539, decode.acc_seg: 93.1873, aux.loss_ce: 0.0960, aux.acc_seg: 90.2976, loss: 0.2499 2023-11-14 01:47:08,882 - mmseg - INFO - Iter [146600/160000] lr: 5.025e-06, eta: 0:54:49, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1589, decode.acc_seg: 93.3221, aux.loss_ce: 0.1009, aux.acc_seg: 90.0902, loss: 0.2599 2023-11-14 01:47:20,516 - mmseg - INFO - Iter [146650/160000] lr: 5.007e-06, eta: 0:54:36, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1461, decode.acc_seg: 93.6102, aux.loss_ce: 0.0893, aux.acc_seg: 90.9344, loss: 0.2354 2023-11-14 01:47:33,004 - mmseg - INFO - Iter [146700/160000] lr: 4.988e-06, eta: 0:54:24, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1504, decode.acc_seg: 93.5273, aux.loss_ce: 0.0955, aux.acc_seg: 90.5442, loss: 0.2459 2023-11-14 01:47:45,435 - mmseg - INFO - Iter [146750/160000] lr: 4.969e-06, eta: 0:54:12, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1509, decode.acc_seg: 93.4158, aux.loss_ce: 0.0938, aux.acc_seg: 90.5325, loss: 0.2447 2023-11-14 01:47:57,971 - mmseg - INFO - Iter [146800/160000] lr: 4.950e-06, eta: 0:54:00, time: 0.250, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1542, decode.acc_seg: 93.3065, aux.loss_ce: 0.0942, aux.acc_seg: 90.5414, loss: 0.2485 2023-11-14 01:48:09,650 - mmseg - INFO - Iter [146850/160000] lr: 4.932e-06, eta: 0:53:47, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1489, decode.acc_seg: 93.6055, aux.loss_ce: 0.0941, aux.acc_seg: 90.6501, loss: 0.2431 2023-11-14 01:48:21,276 - mmseg - INFO - Iter [146900/160000] lr: 4.913e-06, eta: 0:53:35, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1577, decode.acc_seg: 93.2357, aux.loss_ce: 0.0987, aux.acc_seg: 90.1656, loss: 0.2564 2023-11-14 01:48:33,344 - mmseg - INFO - Iter [146950/160000] lr: 4.894e-06, eta: 0:53:23, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1559, decode.acc_seg: 93.4069, aux.loss_ce: 0.0954, aux.acc_seg: 90.6078, loss: 0.2513 2023-11-14 01:48:45,002 - mmseg - INFO - Saving checkpoint at 147000 iterations 2023-11-14 01:48:47,579 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:48:47,579 - mmseg - INFO - Iter [147000/160000] lr: 4.875e-06, eta: 0:53:11, time: 0.285, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1518, decode.acc_seg: 93.4630, aux.loss_ce: 0.0941, aux.acc_seg: 90.6605, loss: 0.2459 2023-11-14 01:49:00,003 - mmseg - INFO - Iter [147050/160000] lr: 4.857e-06, eta: 0:52:58, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1566, decode.acc_seg: 93.3492, aux.loss_ce: 0.0974, aux.acc_seg: 90.1933, loss: 0.2541 2023-11-14 01:49:11,734 - mmseg - INFO - Iter [147100/160000] lr: 4.838e-06, eta: 0:52:46, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1526, decode.acc_seg: 93.4365, aux.loss_ce: 0.0964, aux.acc_seg: 90.3200, loss: 0.2490 2023-11-14 01:49:23,606 - mmseg - INFO - Iter [147150/160000] lr: 4.819e-06, eta: 0:52:34, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1434, decode.acc_seg: 93.7484, aux.loss_ce: 0.0884, aux.acc_seg: 90.9939, loss: 0.2319 2023-11-14 01:49:35,687 - mmseg - INFO - Iter [147200/160000] lr: 4.800e-06, eta: 0:52:21, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1582, decode.acc_seg: 93.2646, aux.loss_ce: 0.0975, aux.acc_seg: 90.3664, loss: 0.2557 2023-11-14 01:49:47,374 - mmseg - INFO - Iter [147250/160000] lr: 4.782e-06, eta: 0:52:09, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1601, decode.acc_seg: 93.1032, aux.loss_ce: 0.0987, aux.acc_seg: 90.0751, loss: 0.2588 2023-11-14 01:50:00,226 - mmseg - INFO - Iter [147300/160000] lr: 4.763e-06, eta: 0:51:57, time: 0.256, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1531, decode.acc_seg: 93.3049, aux.loss_ce: 0.0915, aux.acc_seg: 90.7354, loss: 0.2446 2023-11-14 01:50:12,102 - mmseg - INFO - Iter [147350/160000] lr: 4.744e-06, eta: 0:51:45, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1635, decode.acc_seg: 93.0912, aux.loss_ce: 0.1023, aux.acc_seg: 89.9668, loss: 0.2658 2023-11-14 01:50:23,690 - mmseg - INFO - Iter [147400/160000] lr: 4.725e-06, eta: 0:51:32, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1451, decode.acc_seg: 93.7936, aux.loss_ce: 0.0887, aux.acc_seg: 91.2700, loss: 0.2338 2023-11-14 01:50:35,391 - mmseg - INFO - Iter [147450/160000] lr: 4.707e-06, eta: 0:51:20, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1574, decode.acc_seg: 93.1144, aux.loss_ce: 0.0968, aux.acc_seg: 90.2461, loss: 0.2543 2023-11-14 01:50:47,083 - mmseg - INFO - Iter [147500/160000] lr: 4.688e-06, eta: 0:51:08, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1549, decode.acc_seg: 93.4493, aux.loss_ce: 0.0977, aux.acc_seg: 90.3719, loss: 0.2526 2023-11-14 01:50:58,721 - mmseg - INFO - Iter [147550/160000] lr: 4.669e-06, eta: 0:50:55, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1530, decode.acc_seg: 93.4011, aux.loss_ce: 0.0951, aux.acc_seg: 90.4869, loss: 0.2482 2023-11-14 01:51:10,782 - mmseg - INFO - Iter [147600/160000] lr: 4.650e-06, eta: 0:50:43, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1560, decode.acc_seg: 93.3621, aux.loss_ce: 0.0971, aux.acc_seg: 90.4309, loss: 0.2531 2023-11-14 01:51:22,884 - mmseg - INFO - Iter [147650/160000] lr: 4.632e-06, eta: 0:50:31, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1532, decode.acc_seg: 93.2906, aux.loss_ce: 0.0971, aux.acc_seg: 90.1228, loss: 0.2504 2023-11-14 01:51:34,694 - mmseg - INFO - Iter [147700/160000] lr: 4.613e-06, eta: 0:50:18, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1518, decode.acc_seg: 93.3995, aux.loss_ce: 0.0943, aux.acc_seg: 90.6350, loss: 0.2461 2023-11-14 01:51:47,741 - mmseg - INFO - Iter [147750/160000] lr: 4.594e-06, eta: 0:50:06, time: 0.261, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1502, decode.acc_seg: 93.4133, aux.loss_ce: 0.0958, aux.acc_seg: 90.2434, loss: 0.2459 2023-11-14 01:52:01,841 - mmseg - INFO - Iter [147800/160000] lr: 4.575e-06, eta: 0:49:54, time: 0.281, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1568, decode.acc_seg: 93.2433, aux.loss_ce: 0.0945, aux.acc_seg: 90.6352, loss: 0.2514 2023-11-14 01:52:13,619 - mmseg - INFO - Iter [147850/160000] lr: 4.557e-06, eta: 0:49:42, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1473, decode.acc_seg: 93.6703, aux.loss_ce: 0.0923, aux.acc_seg: 90.8403, loss: 0.2396 2023-11-14 01:52:25,523 - mmseg - INFO - Iter [147900/160000] lr: 4.538e-06, eta: 0:49:29, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1470, decode.acc_seg: 93.5416, aux.loss_ce: 0.0931, aux.acc_seg: 90.5075, loss: 0.2401 2023-11-14 01:52:37,589 - mmseg - INFO - Iter [147950/160000] lr: 4.519e-06, eta: 0:49:17, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1514, decode.acc_seg: 93.6021, aux.loss_ce: 0.0924, aux.acc_seg: 90.8640, loss: 0.2438 2023-11-14 01:52:50,931 - mmseg - INFO - Saving checkpoint at 148000 iterations 2023-11-14 01:52:53,430 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:52:53,430 - mmseg - INFO - Iter [148000/160000] lr: 4.500e-06, eta: 0:49:05, time: 0.317, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1606, decode.acc_seg: 93.2336, aux.loss_ce: 0.0992, aux.acc_seg: 90.3236, loss: 0.2598 2023-11-14 01:53:05,794 - mmseg - INFO - Iter [148050/160000] lr: 4.482e-06, eta: 0:48:53, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1646, decode.acc_seg: 93.0764, aux.loss_ce: 0.1028, aux.acc_seg: 89.8583, loss: 0.2674 2023-11-14 01:53:17,560 - mmseg - INFO - Iter [148100/160000] lr: 4.463e-06, eta: 0:48:41, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1506, decode.acc_seg: 93.4905, aux.loss_ce: 0.0936, aux.acc_seg: 90.5837, loss: 0.2443 2023-11-14 01:53:29,376 - mmseg - INFO - Iter [148150/160000] lr: 4.444e-06, eta: 0:48:28, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1546, decode.acc_seg: 93.3467, aux.loss_ce: 0.0955, aux.acc_seg: 90.4121, loss: 0.2501 2023-11-14 01:53:41,262 - mmseg - INFO - Iter [148200/160000] lr: 4.425e-06, eta: 0:48:16, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1564, decode.acc_seg: 93.5263, aux.loss_ce: 0.0943, aux.acc_seg: 90.8859, loss: 0.2507 2023-11-14 01:53:53,220 - mmseg - INFO - Iter [148250/160000] lr: 4.407e-06, eta: 0:48:04, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1505, decode.acc_seg: 93.4340, aux.loss_ce: 0.0905, aux.acc_seg: 90.7884, loss: 0.2410 2023-11-14 01:54:04,823 - mmseg - INFO - Iter [148300/160000] lr: 4.388e-06, eta: 0:47:51, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1465, decode.acc_seg: 93.7417, aux.loss_ce: 0.0923, aux.acc_seg: 90.8598, loss: 0.2387 2023-11-14 01:54:18,215 - mmseg - INFO - Iter [148350/160000] lr: 4.369e-06, eta: 0:47:39, time: 0.268, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1495, decode.acc_seg: 93.6103, aux.loss_ce: 0.0917, aux.acc_seg: 90.8761, loss: 0.2412 2023-11-14 01:54:29,821 - mmseg - INFO - Iter [148400/160000] lr: 4.350e-06, eta: 0:47:27, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1618, decode.acc_seg: 93.1058, aux.loss_ce: 0.0999, aux.acc_seg: 90.1270, loss: 0.2617 2023-11-14 01:54:42,006 - mmseg - INFO - Iter [148450/160000] lr: 4.332e-06, eta: 0:47:15, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1586, decode.acc_seg: 92.8457, aux.loss_ce: 0.0971, aux.acc_seg: 90.0012, loss: 0.2557 2023-11-14 01:54:54,006 - mmseg - INFO - Iter [148500/160000] lr: 4.313e-06, eta: 0:47:02, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1540, decode.acc_seg: 93.3269, aux.loss_ce: 0.0944, aux.acc_seg: 90.3467, loss: 0.2484 2023-11-14 01:55:05,599 - mmseg - INFO - Iter [148550/160000] lr: 4.294e-06, eta: 0:46:50, time: 0.232, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1575, decode.acc_seg: 93.2766, aux.loss_ce: 0.0959, aux.acc_seg: 90.4997, loss: 0.2534 2023-11-14 01:55:17,591 - mmseg - INFO - Iter [148600/160000] lr: 4.275e-06, eta: 0:46:38, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1693, decode.acc_seg: 92.9863, aux.loss_ce: 0.1028, aux.acc_seg: 90.0229, loss: 0.2720 2023-11-14 01:55:29,200 - mmseg - INFO - Iter [148650/160000] lr: 4.257e-06, eta: 0:46:25, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1546, decode.acc_seg: 93.3513, aux.loss_ce: 0.0993, aux.acc_seg: 90.1816, loss: 0.2539 2023-11-14 01:55:40,848 - mmseg - INFO - Iter [148700/160000] lr: 4.238e-06, eta: 0:46:13, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1435, decode.acc_seg: 93.8038, aux.loss_ce: 0.0924, aux.acc_seg: 90.8523, loss: 0.2359 2023-11-14 01:55:52,495 - mmseg - INFO - Iter [148750/160000] lr: 4.219e-06, eta: 0:46:01, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1531, decode.acc_seg: 93.4760, aux.loss_ce: 0.0931, aux.acc_seg: 90.7763, loss: 0.2462 2023-11-14 01:56:04,245 - mmseg - INFO - Iter [148800/160000] lr: 4.200e-06, eta: 0:45:48, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1530, decode.acc_seg: 93.3774, aux.loss_ce: 0.0955, aux.acc_seg: 90.4450, loss: 0.2485 2023-11-14 01:56:16,649 - mmseg - INFO - Iter [148850/160000] lr: 4.182e-06, eta: 0:45:36, time: 0.248, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1559, decode.acc_seg: 93.4080, aux.loss_ce: 0.0956, aux.acc_seg: 90.6173, loss: 0.2515 2023-11-14 01:56:28,278 - mmseg - INFO - Iter [148900/160000] lr: 4.163e-06, eta: 0:45:24, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1543, decode.acc_seg: 93.4890, aux.loss_ce: 0.0948, aux.acc_seg: 90.5860, loss: 0.2491 2023-11-14 01:56:40,020 - mmseg - INFO - Iter [148950/160000] lr: 4.144e-06, eta: 0:45:11, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1567, decode.acc_seg: 93.2080, aux.loss_ce: 0.0980, aux.acc_seg: 90.2227, loss: 0.2547 2023-11-14 01:56:51,737 - mmseg - INFO - Saving checkpoint at 149000 iterations 2023-11-14 01:56:54,544 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 01:56:54,545 - mmseg - INFO - Iter [149000/160000] lr: 4.125e-06, eta: 0:44:59, time: 0.290, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1561, decode.acc_seg: 93.4459, aux.loss_ce: 0.0993, aux.acc_seg: 90.2591, loss: 0.2554 2023-11-14 01:57:08,869 - mmseg - INFO - Iter [149050/160000] lr: 4.107e-06, eta: 0:44:47, time: 0.286, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1486, decode.acc_seg: 93.5717, aux.loss_ce: 0.0916, aux.acc_seg: 90.6604, loss: 0.2402 2023-11-14 01:57:20,515 - mmseg - INFO - Iter [149100/160000] lr: 4.088e-06, eta: 0:44:35, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1520, decode.acc_seg: 93.2886, aux.loss_ce: 0.0934, aux.acc_seg: 90.5461, loss: 0.2454 2023-11-14 01:57:32,096 - mmseg - INFO - Iter [149150/160000] lr: 4.069e-06, eta: 0:44:23, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1528, decode.acc_seg: 93.5562, aux.loss_ce: 0.0958, aux.acc_seg: 90.7706, loss: 0.2486 2023-11-14 01:57:43,750 - mmseg - INFO - Iter [149200/160000] lr: 4.050e-06, eta: 0:44:10, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1586, decode.acc_seg: 93.2856, aux.loss_ce: 0.0959, aux.acc_seg: 90.5222, loss: 0.2545 2023-11-14 01:57:56,612 - mmseg - INFO - Iter [149250/160000] lr: 4.032e-06, eta: 0:43:58, time: 0.257, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1525, decode.acc_seg: 93.5063, aux.loss_ce: 0.0960, aux.acc_seg: 90.4337, loss: 0.2485 2023-11-14 01:58:08,237 - mmseg - INFO - Iter [149300/160000] lr: 4.013e-06, eta: 0:43:46, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1555, decode.acc_seg: 93.3564, aux.loss_ce: 0.0937, aux.acc_seg: 90.6177, loss: 0.2493 2023-11-14 01:58:19,820 - mmseg - INFO - Iter [149350/160000] lr: 3.994e-06, eta: 0:43:33, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1556, decode.acc_seg: 93.3666, aux.loss_ce: 0.0983, aux.acc_seg: 90.2707, loss: 0.2539 2023-11-14 01:58:31,818 - mmseg - INFO - Iter [149400/160000] lr: 3.975e-06, eta: 0:43:21, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1509, decode.acc_seg: 93.5663, aux.loss_ce: 0.0921, aux.acc_seg: 90.8610, loss: 0.2430 2023-11-14 01:58:43,433 - mmseg - INFO - Iter [149450/160000] lr: 3.957e-06, eta: 0:43:09, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1549, decode.acc_seg: 93.4482, aux.loss_ce: 0.0996, aux.acc_seg: 90.1612, loss: 0.2546 2023-11-14 01:58:55,137 - mmseg - INFO - Iter [149500/160000] lr: 3.938e-06, eta: 0:42:56, time: 0.234, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1469, decode.acc_seg: 93.5364, aux.loss_ce: 0.0919, aux.acc_seg: 90.5825, loss: 0.2388 2023-11-14 01:59:06,721 - mmseg - INFO - Iter [149550/160000] lr: 3.919e-06, eta: 0:42:44, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1640, decode.acc_seg: 93.1104, aux.loss_ce: 0.0992, aux.acc_seg: 90.0764, loss: 0.2632 2023-11-14 01:59:18,519 - mmseg - INFO - Iter [149600/160000] lr: 3.900e-06, eta: 0:42:32, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1492, decode.acc_seg: 93.6391, aux.loss_ce: 0.0914, aux.acc_seg: 90.8074, loss: 0.2406 2023-11-14 01:59:30,133 - mmseg - INFO - Iter [149650/160000] lr: 3.882e-06, eta: 0:42:20, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1594, decode.acc_seg: 93.1511, aux.loss_ce: 0.0996, aux.acc_seg: 90.1294, loss: 0.2591 2023-11-14 01:59:42,011 - mmseg - INFO - Iter [149700/160000] lr: 3.863e-06, eta: 0:42:07, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1486, decode.acc_seg: 93.4602, aux.loss_ce: 0.0918, aux.acc_seg: 90.5093, loss: 0.2404 2023-11-14 01:59:53,800 - mmseg - INFO - Iter [149750/160000] lr: 3.844e-06, eta: 0:41:55, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1603, decode.acc_seg: 93.0525, aux.loss_ce: 0.0981, aux.acc_seg: 90.2978, loss: 0.2584 2023-11-14 02:00:06,537 - mmseg - INFO - Iter [149800/160000] lr: 3.825e-06, eta: 0:41:43, time: 0.255, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1540, decode.acc_seg: 93.3503, aux.loss_ce: 0.0971, aux.acc_seg: 90.3701, loss: 0.2511 2023-11-14 02:00:18,171 - mmseg - INFO - Iter [149850/160000] lr: 3.807e-06, eta: 0:41:30, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1484, decode.acc_seg: 93.5572, aux.loss_ce: 0.0902, aux.acc_seg: 90.9321, loss: 0.2386 2023-11-14 02:00:29,820 - mmseg - INFO - Iter [149900/160000] lr: 3.788e-06, eta: 0:41:18, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1485, decode.acc_seg: 93.5938, aux.loss_ce: 0.0920, aux.acc_seg: 90.7072, loss: 0.2406 2023-11-14 02:00:41,600 - mmseg - INFO - Iter [149950/160000] lr: 3.769e-06, eta: 0:41:06, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1578, decode.acc_seg: 93.3565, aux.loss_ce: 0.0982, aux.acc_seg: 90.4077, loss: 0.2560 2023-11-14 02:00:53,183 - mmseg - INFO - Saving checkpoint at 150000 iterations 2023-11-14 02:00:55,911 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:00:55,911 - mmseg - INFO - Iter [150000/160000] lr: 3.750e-06, eta: 0:40:54, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1471, decode.acc_seg: 93.6323, aux.loss_ce: 0.0903, aux.acc_seg: 90.9285, loss: 0.2374 2023-11-14 02:01:07,553 - mmseg - INFO - Iter [150050/160000] lr: 3.732e-06, eta: 0:40:41, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1524, decode.acc_seg: 93.2640, aux.loss_ce: 0.0935, aux.acc_seg: 90.5212, loss: 0.2459 2023-11-14 02:01:19,243 - mmseg - INFO - Iter [150100/160000] lr: 3.713e-06, eta: 0:40:29, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1490, decode.acc_seg: 93.5468, aux.loss_ce: 0.0938, aux.acc_seg: 90.6728, loss: 0.2428 2023-11-14 02:01:30,966 - mmseg - INFO - Iter [150150/160000] lr: 3.694e-06, eta: 0:40:17, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1570, decode.acc_seg: 93.1981, aux.loss_ce: 0.1007, aux.acc_seg: 89.9858, loss: 0.2577 2023-11-14 02:01:42,825 - mmseg - INFO - Iter [150200/160000] lr: 3.675e-06, eta: 0:40:04, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1386, decode.acc_seg: 93.8989, aux.loss_ce: 0.0865, aux.acc_seg: 91.2179, loss: 0.2251 2023-11-14 02:01:54,481 - mmseg - INFO - Iter [150250/160000] lr: 3.657e-06, eta: 0:39:52, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1538, decode.acc_seg: 93.1650, aux.loss_ce: 0.0966, aux.acc_seg: 90.0146, loss: 0.2504 2023-11-14 02:02:08,372 - mmseg - INFO - Iter [150300/160000] lr: 3.638e-06, eta: 0:39:40, time: 0.278, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1518, decode.acc_seg: 93.4536, aux.loss_ce: 0.0943, aux.acc_seg: 90.4168, loss: 0.2461 2023-11-14 02:02:20,077 - mmseg - INFO - Iter [150350/160000] lr: 3.619e-06, eta: 0:39:28, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1516, decode.acc_seg: 93.5182, aux.loss_ce: 0.0962, aux.acc_seg: 90.4476, loss: 0.2479 2023-11-14 02:02:31,830 - mmseg - INFO - Iter [150400/160000] lr: 3.600e-06, eta: 0:39:15, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1488, decode.acc_seg: 93.6627, aux.loss_ce: 0.0923, aux.acc_seg: 91.0175, loss: 0.2411 2023-11-14 02:02:43,613 - mmseg - INFO - Iter [150450/160000] lr: 3.582e-06, eta: 0:39:03, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1469, decode.acc_seg: 93.6799, aux.loss_ce: 0.0915, aux.acc_seg: 90.9658, loss: 0.2384 2023-11-14 02:02:55,322 - mmseg - INFO - Iter [150500/160000] lr: 3.563e-06, eta: 0:38:51, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1514, decode.acc_seg: 93.4597, aux.loss_ce: 0.0963, aux.acc_seg: 90.3161, loss: 0.2477 2023-11-14 02:03:07,255 - mmseg - INFO - Iter [150550/160000] lr: 3.544e-06, eta: 0:38:38, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1548, decode.acc_seg: 93.3320, aux.loss_ce: 0.0971, aux.acc_seg: 90.3139, loss: 0.2520 2023-11-14 02:03:19,154 - mmseg - INFO - Iter [150600/160000] lr: 3.525e-06, eta: 0:38:26, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1581, decode.acc_seg: 93.2733, aux.loss_ce: 0.0964, aux.acc_seg: 90.4887, loss: 0.2545 2023-11-14 02:03:31,259 - mmseg - INFO - Iter [150650/160000] lr: 3.507e-06, eta: 0:38:14, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1507, decode.acc_seg: 93.4766, aux.loss_ce: 0.0946, aux.acc_seg: 90.3892, loss: 0.2453 2023-11-14 02:03:42,923 - mmseg - INFO - Iter [150700/160000] lr: 3.488e-06, eta: 0:38:02, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1553, decode.acc_seg: 93.4768, aux.loss_ce: 0.0977, aux.acc_seg: 90.4804, loss: 0.2530 2023-11-14 02:03:54,595 - mmseg - INFO - Iter [150750/160000] lr: 3.469e-06, eta: 0:37:49, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1494, decode.acc_seg: 93.5387, aux.loss_ce: 0.0949, aux.acc_seg: 90.5772, loss: 0.2444 2023-11-14 02:04:06,237 - mmseg - INFO - Iter [150800/160000] lr: 3.450e-06, eta: 0:37:37, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1562, decode.acc_seg: 93.3751, aux.loss_ce: 0.1000, aux.acc_seg: 90.0954, loss: 0.2562 2023-11-14 02:04:18,133 - mmseg - INFO - Iter [150850/160000] lr: 3.432e-06, eta: 0:37:25, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1570, decode.acc_seg: 93.3922, aux.loss_ce: 0.0999, aux.acc_seg: 90.1793, loss: 0.2569 2023-11-14 02:04:29,954 - mmseg - INFO - Iter [150900/160000] lr: 3.413e-06, eta: 0:37:12, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1590, decode.acc_seg: 93.2140, aux.loss_ce: 0.0971, aux.acc_seg: 90.2942, loss: 0.2561 2023-11-14 02:04:41,581 - mmseg - INFO - Iter [150950/160000] lr: 3.394e-06, eta: 0:37:00, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1571, decode.acc_seg: 93.1073, aux.loss_ce: 0.0964, aux.acc_seg: 90.2673, loss: 0.2535 2023-11-14 02:04:53,396 - mmseg - INFO - Saving checkpoint at 151000 iterations 2023-11-14 02:04:55,851 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:04:55,851 - mmseg - INFO - Iter [151000/160000] lr: 3.375e-06, eta: 0:36:48, time: 0.285, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1534, decode.acc_seg: 93.5154, aux.loss_ce: 0.0936, aux.acc_seg: 90.6904, loss: 0.2470 2023-11-14 02:05:07,983 - mmseg - INFO - Iter [151050/160000] lr: 3.357e-06, eta: 0:36:36, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1556, decode.acc_seg: 93.2282, aux.loss_ce: 0.0948, aux.acc_seg: 90.6643, loss: 0.2504 2023-11-14 02:05:20,221 - mmseg - INFO - Iter [151100/160000] lr: 3.338e-06, eta: 0:36:23, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1448, decode.acc_seg: 93.7445, aux.loss_ce: 0.0932, aux.acc_seg: 90.6283, loss: 0.2380 2023-11-14 02:05:31,827 - mmseg - INFO - Iter [151150/160000] lr: 3.319e-06, eta: 0:36:11, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1591, decode.acc_seg: 93.2476, aux.loss_ce: 0.1011, aux.acc_seg: 90.1155, loss: 0.2602 2023-11-14 02:05:43,472 - mmseg - INFO - Iter [151200/160000] lr: 3.300e-06, eta: 0:35:59, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1471, decode.acc_seg: 93.5934, aux.loss_ce: 0.0901, aux.acc_seg: 90.9236, loss: 0.2372 2023-11-14 02:05:55,373 - mmseg - INFO - Iter [151250/160000] lr: 3.282e-06, eta: 0:35:46, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1544, decode.acc_seg: 93.4408, aux.loss_ce: 0.0959, aux.acc_seg: 90.5465, loss: 0.2503 2023-11-14 02:06:07,023 - mmseg - INFO - Iter [151300/160000] lr: 3.263e-06, eta: 0:35:34, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1458, decode.acc_seg: 93.5445, aux.loss_ce: 0.0905, aux.acc_seg: 90.8587, loss: 0.2363 2023-11-14 02:06:18,650 - mmseg - INFO - Iter [151350/160000] lr: 3.244e-06, eta: 0:35:22, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1614, decode.acc_seg: 92.9927, aux.loss_ce: 0.1003, aux.acc_seg: 90.1293, loss: 0.2617 2023-11-14 02:06:30,698 - mmseg - INFO - Iter [151400/160000] lr: 3.225e-06, eta: 0:35:10, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1520, decode.acc_seg: 93.3442, aux.loss_ce: 0.0923, aux.acc_seg: 90.7760, loss: 0.2442 2023-11-14 02:06:42,358 - mmseg - INFO - Iter [151450/160000] lr: 3.207e-06, eta: 0:34:57, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1546, decode.acc_seg: 93.4215, aux.loss_ce: 0.0939, aux.acc_seg: 90.7506, loss: 0.2485 2023-11-14 02:06:54,016 - mmseg - INFO - Iter [151500/160000] lr: 3.188e-06, eta: 0:34:45, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1553, decode.acc_seg: 93.0671, aux.loss_ce: 0.0961, aux.acc_seg: 90.1422, loss: 0.2515 2023-11-14 02:07:05,764 - mmseg - INFO - Iter [151550/160000] lr: 3.169e-06, eta: 0:34:33, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1542, decode.acc_seg: 93.2121, aux.loss_ce: 0.0933, aux.acc_seg: 90.5302, loss: 0.2475 2023-11-14 02:07:19,663 - mmseg - INFO - Iter [151600/160000] lr: 3.150e-06, eta: 0:34:20, time: 0.278, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1489, decode.acc_seg: 93.6663, aux.loss_ce: 0.0931, aux.acc_seg: 90.8209, loss: 0.2420 2023-11-14 02:07:31,386 - mmseg - INFO - Iter [151650/160000] lr: 3.132e-06, eta: 0:34:08, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1598, decode.acc_seg: 93.3039, aux.loss_ce: 0.0978, aux.acc_seg: 90.3979, loss: 0.2575 2023-11-14 02:07:43,010 - mmseg - INFO - Iter [151700/160000] lr: 3.113e-06, eta: 0:33:56, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1484, decode.acc_seg: 93.6278, aux.loss_ce: 0.0948, aux.acc_seg: 90.5884, loss: 0.2432 2023-11-14 02:07:54,638 - mmseg - INFO - Iter [151750/160000] lr: 3.094e-06, eta: 0:33:44, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1477, decode.acc_seg: 93.4537, aux.loss_ce: 0.0928, aux.acc_seg: 90.4735, loss: 0.2405 2023-11-14 02:08:06,434 - mmseg - INFO - Iter [151800/160000] lr: 3.075e-06, eta: 0:33:31, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1589, decode.acc_seg: 93.1574, aux.loss_ce: 0.1016, aux.acc_seg: 89.8542, loss: 0.2605 2023-11-14 02:08:18,095 - mmseg - INFO - Iter [151850/160000] lr: 3.057e-06, eta: 0:33:19, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1503, decode.acc_seg: 93.5399, aux.loss_ce: 0.0936, aux.acc_seg: 90.7479, loss: 0.2439 2023-11-14 02:08:29,777 - mmseg - INFO - Iter [151900/160000] lr: 3.038e-06, eta: 0:33:07, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1595, decode.acc_seg: 93.2559, aux.loss_ce: 0.0982, aux.acc_seg: 90.4582, loss: 0.2577 2023-11-14 02:08:41,792 - mmseg - INFO - Iter [151950/160000] lr: 3.019e-06, eta: 0:32:54, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1575, decode.acc_seg: 93.1726, aux.loss_ce: 0.0974, aux.acc_seg: 90.1607, loss: 0.2549 2023-11-14 02:08:53,483 - mmseg - INFO - Saving checkpoint at 152000 iterations 2023-11-14 02:08:56,108 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:08:56,109 - mmseg - INFO - Iter [152000/160000] lr: 3.000e-06, eta: 0:32:42, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1498, decode.acc_seg: 93.5377, aux.loss_ce: 0.0933, aux.acc_seg: 90.6147, loss: 0.2430 2023-11-14 02:09:07,799 - mmseg - INFO - Iter [152050/160000] lr: 2.982e-06, eta: 0:32:30, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1558, decode.acc_seg: 93.3329, aux.loss_ce: 0.0977, aux.acc_seg: 90.4186, loss: 0.2535 2023-11-14 02:09:19,478 - mmseg - INFO - Iter [152100/160000] lr: 2.963e-06, eta: 0:32:18, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1565, decode.acc_seg: 93.2590, aux.loss_ce: 0.0967, aux.acc_seg: 90.3373, loss: 0.2532 2023-11-14 02:09:31,150 - mmseg - INFO - Iter [152150/160000] lr: 2.944e-06, eta: 0:32:05, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1545, decode.acc_seg: 93.4050, aux.loss_ce: 0.0957, aux.acc_seg: 90.7595, loss: 0.2502 2023-11-14 02:09:43,378 - mmseg - INFO - Iter [152200/160000] lr: 2.925e-06, eta: 0:31:53, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1520, decode.acc_seg: 93.5456, aux.loss_ce: 0.0962, aux.acc_seg: 90.5558, loss: 0.2482 2023-11-14 02:09:55,190 - mmseg - INFO - Iter [152250/160000] lr: 2.907e-06, eta: 0:31:41, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1523, decode.acc_seg: 93.3553, aux.loss_ce: 0.0942, aux.acc_seg: 90.4581, loss: 0.2465 2023-11-14 02:10:06,849 - mmseg - INFO - Iter [152300/160000] lr: 2.888e-06, eta: 0:31:28, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1463, decode.acc_seg: 93.6526, aux.loss_ce: 0.0923, aux.acc_seg: 90.8348, loss: 0.2386 2023-11-14 02:10:18,848 - mmseg - INFO - Iter [152350/160000] lr: 2.869e-06, eta: 0:31:16, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1571, decode.acc_seg: 93.2964, aux.loss_ce: 0.0956, aux.acc_seg: 90.6440, loss: 0.2527 2023-11-14 02:10:30,423 - mmseg - INFO - Iter [152400/160000] lr: 2.850e-06, eta: 0:31:04, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1504, decode.acc_seg: 93.5099, aux.loss_ce: 0.0948, aux.acc_seg: 90.5207, loss: 0.2452 2023-11-14 02:10:42,019 - mmseg - INFO - Iter [152450/160000] lr: 2.832e-06, eta: 0:30:52, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1589, decode.acc_seg: 93.0067, aux.loss_ce: 0.1000, aux.acc_seg: 89.8679, loss: 0.2589 2023-11-14 02:10:55,189 - mmseg - INFO - Iter [152500/160000] lr: 2.813e-06, eta: 0:30:39, time: 0.263, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1517, decode.acc_seg: 93.3414, aux.loss_ce: 0.0931, aux.acc_seg: 90.4844, loss: 0.2448 2023-11-14 02:11:07,574 - mmseg - INFO - Iter [152550/160000] lr: 2.794e-06, eta: 0:30:27, time: 0.248, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1572, decode.acc_seg: 93.3193, aux.loss_ce: 0.0992, aux.acc_seg: 90.1701, loss: 0.2564 2023-11-14 02:11:19,263 - mmseg - INFO - Iter [152600/160000] lr: 2.775e-06, eta: 0:30:15, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1532, decode.acc_seg: 93.3246, aux.loss_ce: 0.0956, aux.acc_seg: 90.3986, loss: 0.2488 2023-11-14 02:11:31,929 - mmseg - INFO - Iter [152650/160000] lr: 2.757e-06, eta: 0:30:03, time: 0.253, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1470, decode.acc_seg: 93.4162, aux.loss_ce: 0.0944, aux.acc_seg: 90.3672, loss: 0.2414 2023-11-14 02:11:43,938 - mmseg - INFO - Iter [152700/160000] lr: 2.738e-06, eta: 0:29:50, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1428, decode.acc_seg: 93.7457, aux.loss_ce: 0.0884, aux.acc_seg: 91.0713, loss: 0.2312 2023-11-14 02:11:56,012 - mmseg - INFO - Iter [152750/160000] lr: 2.719e-06, eta: 0:29:38, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1507, decode.acc_seg: 93.4776, aux.loss_ce: 0.0945, aux.acc_seg: 90.4163, loss: 0.2453 2023-11-14 02:12:08,181 - mmseg - INFO - Iter [152800/160000] lr: 2.700e-06, eta: 0:29:26, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1505, decode.acc_seg: 93.5489, aux.loss_ce: 0.0942, aux.acc_seg: 90.5620, loss: 0.2448 2023-11-14 02:12:22,135 - mmseg - INFO - Iter [152850/160000] lr: 2.682e-06, eta: 0:29:14, time: 0.279, data_time: 0.047, memory: 5958, decode.loss_ce: 0.1502, decode.acc_seg: 93.5041, aux.loss_ce: 0.0970, aux.acc_seg: 90.3858, loss: 0.2472 2023-11-14 02:12:33,728 - mmseg - INFO - Iter [152900/160000] lr: 2.663e-06, eta: 0:29:01, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1579, decode.acc_seg: 93.2785, aux.loss_ce: 0.0988, aux.acc_seg: 90.2699, loss: 0.2566 2023-11-14 02:12:45,361 - mmseg - INFO - Iter [152950/160000] lr: 2.644e-06, eta: 0:28:49, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1528, decode.acc_seg: 93.3659, aux.loss_ce: 0.0935, aux.acc_seg: 90.4350, loss: 0.2464 2023-11-14 02:12:57,220 - mmseg - INFO - Saving checkpoint at 153000 iterations 2023-11-14 02:12:59,882 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:12:59,882 - mmseg - INFO - Iter [153000/160000] lr: 2.625e-06, eta: 0:28:37, time: 0.291, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1505, decode.acc_seg: 93.4440, aux.loss_ce: 0.0933, aux.acc_seg: 90.6985, loss: 0.2438 2023-11-14 02:13:11,590 - mmseg - INFO - Iter [153050/160000] lr: 2.607e-06, eta: 0:28:25, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1529, decode.acc_seg: 93.3297, aux.loss_ce: 0.0976, aux.acc_seg: 90.1369, loss: 0.2505 2023-11-14 02:13:23,457 - mmseg - INFO - Iter [153100/160000] lr: 2.588e-06, eta: 0:28:12, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1511, decode.acc_seg: 93.6255, aux.loss_ce: 0.0970, aux.acc_seg: 90.4781, loss: 0.2481 2023-11-14 02:13:36,690 - mmseg - INFO - Iter [153150/160000] lr: 2.569e-06, eta: 0:28:00, time: 0.264, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1530, decode.acc_seg: 93.3789, aux.loss_ce: 0.0937, aux.acc_seg: 90.5882, loss: 0.2466 2023-11-14 02:13:49,122 - mmseg - INFO - Iter [153200/160000] lr: 2.550e-06, eta: 0:27:48, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1531, decode.acc_seg: 93.4542, aux.loss_ce: 0.0961, aux.acc_seg: 90.3253, loss: 0.2491 2023-11-14 02:14:01,273 - mmseg - INFO - Iter [153250/160000] lr: 2.532e-06, eta: 0:27:35, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1539, decode.acc_seg: 93.2010, aux.loss_ce: 0.0984, aux.acc_seg: 90.0506, loss: 0.2523 2023-11-14 02:14:13,080 - mmseg - INFO - Iter [153300/160000] lr: 2.513e-06, eta: 0:27:23, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1502, decode.acc_seg: 93.5605, aux.loss_ce: 0.0917, aux.acc_seg: 90.9153, loss: 0.2419 2023-11-14 02:14:24,677 - mmseg - INFO - Iter [153350/160000] lr: 2.494e-06, eta: 0:27:11, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1483, decode.acc_seg: 93.6328, aux.loss_ce: 0.0921, aux.acc_seg: 90.9955, loss: 0.2405 2023-11-14 02:14:36,444 - mmseg - INFO - Iter [153400/160000] lr: 2.475e-06, eta: 0:26:59, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1520, decode.acc_seg: 93.5338, aux.loss_ce: 0.0944, aux.acc_seg: 90.7616, loss: 0.2464 2023-11-14 02:14:48,283 - mmseg - INFO - Iter [153450/160000] lr: 2.457e-06, eta: 0:26:46, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1518, decode.acc_seg: 93.3166, aux.loss_ce: 0.0924, aux.acc_seg: 90.6254, loss: 0.2442 2023-11-14 02:15:00,326 - mmseg - INFO - Iter [153500/160000] lr: 2.438e-06, eta: 0:26:34, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1580, decode.acc_seg: 93.0775, aux.loss_ce: 0.0980, aux.acc_seg: 90.2583, loss: 0.2560 2023-11-14 02:15:12,167 - mmseg - INFO - Iter [153550/160000] lr: 2.419e-06, eta: 0:26:22, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1548, decode.acc_seg: 93.2710, aux.loss_ce: 0.0978, aux.acc_seg: 90.3452, loss: 0.2525 2023-11-14 02:15:23,990 - mmseg - INFO - Iter [153600/160000] lr: 2.400e-06, eta: 0:26:10, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1570, decode.acc_seg: 93.2663, aux.loss_ce: 0.0940, aux.acc_seg: 90.5506, loss: 0.2510 2023-11-14 02:15:36,054 - mmseg - INFO - Iter [153650/160000] lr: 2.382e-06, eta: 0:25:57, time: 0.241, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1446, decode.acc_seg: 93.5923, aux.loss_ce: 0.0928, aux.acc_seg: 90.5863, loss: 0.2374 2023-11-14 02:15:47,996 - mmseg - INFO - Iter [153700/160000] lr: 2.363e-06, eta: 0:25:45, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1486, decode.acc_seg: 93.5420, aux.loss_ce: 0.0929, aux.acc_seg: 90.6433, loss: 0.2415 2023-11-14 02:15:59,650 - mmseg - INFO - Iter [153750/160000] lr: 2.344e-06, eta: 0:25:33, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1443, decode.acc_seg: 93.6104, aux.loss_ce: 0.0920, aux.acc_seg: 90.6328, loss: 0.2363 2023-11-14 02:16:11,547 - mmseg - INFO - Iter [153800/160000] lr: 2.325e-06, eta: 0:25:20, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1499, decode.acc_seg: 93.6055, aux.loss_ce: 0.0939, aux.acc_seg: 90.6989, loss: 0.2438 2023-11-14 02:16:23,143 - mmseg - INFO - Iter [153850/160000] lr: 2.307e-06, eta: 0:25:08, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1474, decode.acc_seg: 93.7719, aux.loss_ce: 0.0921, aux.acc_seg: 90.8856, loss: 0.2395 2023-11-14 02:16:35,239 - mmseg - INFO - Iter [153900/160000] lr: 2.288e-06, eta: 0:24:56, time: 0.242, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1451, decode.acc_seg: 93.7236, aux.loss_ce: 0.0940, aux.acc_seg: 90.5635, loss: 0.2390 2023-11-14 02:16:46,893 - mmseg - INFO - Iter [153950/160000] lr: 2.269e-06, eta: 0:24:44, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1505, decode.acc_seg: 93.4092, aux.loss_ce: 0.0946, aux.acc_seg: 90.4698, loss: 0.2450 2023-11-14 02:16:59,241 - mmseg - INFO - Saving checkpoint at 154000 iterations 2023-11-14 02:17:01,872 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:17:01,872 - mmseg - INFO - Iter [154000/160000] lr: 2.250e-06, eta: 0:24:31, time: 0.300, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1522, decode.acc_seg: 93.3419, aux.loss_ce: 0.0958, aux.acc_seg: 90.4883, loss: 0.2480 2023-11-14 02:17:13,630 - mmseg - INFO - Iter [154050/160000] lr: 2.232e-06, eta: 0:24:19, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1527, decode.acc_seg: 93.5090, aux.loss_ce: 0.0952, aux.acc_seg: 90.6204, loss: 0.2478 2023-11-14 02:17:27,554 - mmseg - INFO - Iter [154100/160000] lr: 2.213e-06, eta: 0:24:07, time: 0.278, data_time: 0.047, memory: 5958, decode.loss_ce: 0.1407, decode.acc_seg: 93.7352, aux.loss_ce: 0.0912, aux.acc_seg: 90.6984, loss: 0.2318 2023-11-14 02:17:39,263 - mmseg - INFO - Iter [154150/160000] lr: 2.194e-06, eta: 0:23:55, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1513, decode.acc_seg: 93.4078, aux.loss_ce: 0.0964, aux.acc_seg: 90.4475, loss: 0.2477 2023-11-14 02:17:51,077 - mmseg - INFO - Iter [154200/160000] lr: 2.175e-06, eta: 0:23:42, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1550, decode.acc_seg: 93.1440, aux.loss_ce: 0.0958, aux.acc_seg: 90.3493, loss: 0.2507 2023-11-14 02:18:03,216 - mmseg - INFO - Iter [154250/160000] lr: 2.157e-06, eta: 0:23:30, time: 0.243, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1469, decode.acc_seg: 93.6259, aux.loss_ce: 0.0899, aux.acc_seg: 91.0269, loss: 0.2368 2023-11-14 02:18:15,126 - mmseg - INFO - Iter [154300/160000] lr: 2.138e-06, eta: 0:23:18, time: 0.238, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1508, decode.acc_seg: 93.5187, aux.loss_ce: 0.0946, aux.acc_seg: 90.6873, loss: 0.2454 2023-11-14 02:18:26,829 - mmseg - INFO - Iter [154350/160000] lr: 2.119e-06, eta: 0:23:05, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1529, decode.acc_seg: 93.7201, aux.loss_ce: 0.0937, aux.acc_seg: 90.9304, loss: 0.2466 2023-11-14 02:18:38,420 - mmseg - INFO - Iter [154400/160000] lr: 2.100e-06, eta: 0:22:53, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1494, decode.acc_seg: 93.4586, aux.loss_ce: 0.0942, aux.acc_seg: 90.5655, loss: 0.2436 2023-11-14 02:18:50,606 - mmseg - INFO - Iter [154450/160000] lr: 2.082e-06, eta: 0:22:41, time: 0.244, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1460, decode.acc_seg: 93.6652, aux.loss_ce: 0.0934, aux.acc_seg: 90.6319, loss: 0.2394 2023-11-14 02:19:02,207 - mmseg - INFO - Iter [154500/160000] lr: 2.063e-06, eta: 0:22:29, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1569, decode.acc_seg: 93.2482, aux.loss_ce: 0.0945, aux.acc_seg: 90.6717, loss: 0.2514 2023-11-14 02:19:13,826 - mmseg - INFO - Iter [154550/160000] lr: 2.044e-06, eta: 0:22:16, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1620, decode.acc_seg: 93.0718, aux.loss_ce: 0.1012, aux.acc_seg: 89.9764, loss: 0.2632 2023-11-14 02:19:26,029 - mmseg - INFO - Iter [154600/160000] lr: 2.025e-06, eta: 0:22:04, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1502, decode.acc_seg: 93.4249, aux.loss_ce: 0.0942, aux.acc_seg: 90.5586, loss: 0.2444 2023-11-14 02:19:38,337 - mmseg - INFO - Iter [154650/160000] lr: 2.007e-06, eta: 0:21:52, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1529, decode.acc_seg: 93.4653, aux.loss_ce: 0.0931, aux.acc_seg: 90.7581, loss: 0.2460 2023-11-14 02:19:50,090 - mmseg - INFO - Iter [154700/160000] lr: 1.988e-06, eta: 0:21:40, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1533, decode.acc_seg: 93.4734, aux.loss_ce: 0.0971, aux.acc_seg: 90.4638, loss: 0.2504 2023-11-14 02:20:02,114 - mmseg - INFO - Iter [154750/160000] lr: 1.969e-06, eta: 0:21:27, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1608, decode.acc_seg: 93.1388, aux.loss_ce: 0.0980, aux.acc_seg: 90.2585, loss: 0.2588 2023-11-14 02:20:13,743 - mmseg - INFO - Iter [154800/160000] lr: 1.950e-06, eta: 0:21:15, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1494, decode.acc_seg: 93.4384, aux.loss_ce: 0.0959, aux.acc_seg: 90.3712, loss: 0.2453 2023-11-14 02:20:26,207 - mmseg - INFO - Iter [154850/160000] lr: 1.932e-06, eta: 0:21:03, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1572, decode.acc_seg: 93.2383, aux.loss_ce: 0.0954, aux.acc_seg: 90.5303, loss: 0.2526 2023-11-14 02:20:38,146 - mmseg - INFO - Iter [154900/160000] lr: 1.913e-06, eta: 0:20:50, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1463, decode.acc_seg: 93.6337, aux.loss_ce: 0.0901, aux.acc_seg: 90.8047, loss: 0.2364 2023-11-14 02:20:49,755 - mmseg - INFO - Iter [154950/160000] lr: 1.894e-06, eta: 0:20:38, time: 0.233, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1492, decode.acc_seg: 93.6632, aux.loss_ce: 0.0956, aux.acc_seg: 90.5174, loss: 0.2447 2023-11-14 02:21:01,412 - mmseg - INFO - Saving checkpoint at 155000 iterations 2023-11-14 02:21:04,182 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:21:04,182 - mmseg - INFO - Iter [155000/160000] lr: 1.875e-06, eta: 0:20:26, time: 0.289, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1528, decode.acc_seg: 93.3805, aux.loss_ce: 0.0966, aux.acc_seg: 90.3674, loss: 0.2494 2023-11-14 02:21:18,002 - mmseg - INFO - Iter [155050/160000] lr: 1.857e-06, eta: 0:20:14, time: 0.276, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1587, decode.acc_seg: 93.1861, aux.loss_ce: 0.0968, aux.acc_seg: 90.2798, loss: 0.2555 2023-11-14 02:21:30,247 - mmseg - INFO - Iter [155100/160000] lr: 1.838e-06, eta: 0:20:01, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1591, decode.acc_seg: 93.2087, aux.loss_ce: 0.0972, aux.acc_seg: 90.3485, loss: 0.2563 2023-11-14 02:21:41,923 - mmseg - INFO - Iter [155150/160000] lr: 1.819e-06, eta: 0:19:49, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1520, decode.acc_seg: 93.3421, aux.loss_ce: 0.0943, aux.acc_seg: 90.4740, loss: 0.2463 2023-11-14 02:21:53,674 - mmseg - INFO - Iter [155200/160000] lr: 1.800e-06, eta: 0:19:37, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1507, decode.acc_seg: 93.4823, aux.loss_ce: 0.0952, aux.acc_seg: 90.5181, loss: 0.2459 2023-11-14 02:22:05,972 - mmseg - INFO - Iter [155250/160000] lr: 1.782e-06, eta: 0:19:25, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1520, decode.acc_seg: 93.3486, aux.loss_ce: 0.0941, aux.acc_seg: 90.6282, loss: 0.2461 2023-11-14 02:22:17,642 - mmseg - INFO - Iter [155300/160000] lr: 1.763e-06, eta: 0:19:12, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1594, decode.acc_seg: 93.2107, aux.loss_ce: 0.1014, aux.acc_seg: 89.9793, loss: 0.2608 2023-11-14 02:22:31,552 - mmseg - INFO - Iter [155350/160000] lr: 1.744e-06, eta: 0:19:00, time: 0.278, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1519, decode.acc_seg: 93.3670, aux.loss_ce: 0.0961, aux.acc_seg: 90.4758, loss: 0.2480 2023-11-14 02:22:43,402 - mmseg - INFO - Iter [155400/160000] lr: 1.725e-06, eta: 0:18:48, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1465, decode.acc_seg: 93.5545, aux.loss_ce: 0.0898, aux.acc_seg: 90.8316, loss: 0.2364 2023-11-14 02:22:55,049 - mmseg - INFO - Iter [155450/160000] lr: 1.707e-06, eta: 0:18:36, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1426, decode.acc_seg: 93.8743, aux.loss_ce: 0.0868, aux.acc_seg: 91.3721, loss: 0.2293 2023-11-14 02:23:06,920 - mmseg - INFO - Iter [155500/160000] lr: 1.688e-06, eta: 0:18:23, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1508, decode.acc_seg: 93.3604, aux.loss_ce: 0.0968, aux.acc_seg: 90.0984, loss: 0.2476 2023-11-14 02:23:19,164 - mmseg - INFO - Iter [155550/160000] lr: 1.669e-06, eta: 0:18:11, time: 0.245, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1399, decode.acc_seg: 93.7685, aux.loss_ce: 0.0884, aux.acc_seg: 90.9155, loss: 0.2283 2023-11-14 02:23:31,631 - mmseg - INFO - Iter [155600/160000] lr: 1.650e-06, eta: 0:17:59, time: 0.249, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1523, decode.acc_seg: 93.5003, aux.loss_ce: 0.0959, aux.acc_seg: 90.3720, loss: 0.2483 2023-11-14 02:23:43,284 - mmseg - INFO - Iter [155650/160000] lr: 1.632e-06, eta: 0:17:47, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1482, decode.acc_seg: 93.5578, aux.loss_ce: 0.0924, aux.acc_seg: 90.7519, loss: 0.2407 2023-11-14 02:23:55,018 - mmseg - INFO - Iter [155700/160000] lr: 1.613e-06, eta: 0:17:34, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1536, decode.acc_seg: 93.4063, aux.loss_ce: 0.0954, aux.acc_seg: 90.6619, loss: 0.2491 2023-11-14 02:24:06,626 - mmseg - INFO - Iter [155750/160000] lr: 1.594e-06, eta: 0:17:22, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1508, decode.acc_seg: 93.5504, aux.loss_ce: 0.0955, aux.acc_seg: 90.6010, loss: 0.2462 2023-11-14 02:24:19,510 - mmseg - INFO - Iter [155800/160000] lr: 1.575e-06, eta: 0:17:10, time: 0.258, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1523, decode.acc_seg: 93.4053, aux.loss_ce: 0.0938, aux.acc_seg: 90.5134, loss: 0.2460 2023-11-14 02:24:31,152 - mmseg - INFO - Iter [155850/160000] lr: 1.557e-06, eta: 0:16:57, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1527, decode.acc_seg: 93.3589, aux.loss_ce: 0.0955, aux.acc_seg: 90.3628, loss: 0.2482 2023-11-14 02:24:43,361 - mmseg - INFO - Iter [155900/160000] lr: 1.538e-06, eta: 0:16:45, time: 0.244, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1551, decode.acc_seg: 93.2535, aux.loss_ce: 0.0960, aux.acc_seg: 90.4198, loss: 0.2510 2023-11-14 02:24:54,925 - mmseg - INFO - Iter [155950/160000] lr: 1.519e-06, eta: 0:16:33, time: 0.231, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1557, decode.acc_seg: 93.3987, aux.loss_ce: 0.0954, aux.acc_seg: 90.5291, loss: 0.2511 2023-11-14 02:25:06,532 - mmseg - INFO - Saving checkpoint at 156000 iterations 2023-11-14 02:25:09,235 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:25:09,235 - mmseg - INFO - Iter [156000/160000] lr: 1.500e-06, eta: 0:16:21, time: 0.286, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1477, decode.acc_seg: 93.5889, aux.loss_ce: 0.0921, aux.acc_seg: 90.6695, loss: 0.2398 2023-11-14 02:25:21,580 - mmseg - INFO - Iter [156050/160000] lr: 1.482e-06, eta: 0:16:08, time: 0.246, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1490, decode.acc_seg: 93.5917, aux.loss_ce: 0.0950, aux.acc_seg: 90.6004, loss: 0.2440 2023-11-14 02:25:33,476 - mmseg - INFO - Iter [156100/160000] lr: 1.463e-06, eta: 0:15:56, time: 0.239, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1573, decode.acc_seg: 93.1859, aux.loss_ce: 0.0959, aux.acc_seg: 90.4265, loss: 0.2531 2023-11-14 02:25:45,150 - mmseg - INFO - Iter [156150/160000] lr: 1.444e-06, eta: 0:15:44, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1417, decode.acc_seg: 93.8139, aux.loss_ce: 0.0882, aux.acc_seg: 91.1269, loss: 0.2299 2023-11-14 02:25:56,780 - mmseg - INFO - Iter [156200/160000] lr: 1.425e-06, eta: 0:15:32, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1488, decode.acc_seg: 93.5698, aux.loss_ce: 0.0954, aux.acc_seg: 90.4665, loss: 0.2442 2023-11-14 02:26:08,433 - mmseg - INFO - Iter [156250/160000] lr: 1.407e-06, eta: 0:15:19, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1522, decode.acc_seg: 93.5527, aux.loss_ce: 0.0980, aux.acc_seg: 90.4159, loss: 0.2502 2023-11-14 02:26:20,127 - mmseg - INFO - Iter [156300/160000] lr: 1.388e-06, eta: 0:15:07, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1585, decode.acc_seg: 93.1573, aux.loss_ce: 0.0984, aux.acc_seg: 90.2939, loss: 0.2569 2023-11-14 02:26:33,125 - mmseg - INFO - Iter [156350/160000] lr: 1.369e-06, eta: 0:14:55, time: 0.260, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1455, decode.acc_seg: 93.7018, aux.loss_ce: 0.0890, aux.acc_seg: 90.9618, loss: 0.2345 2023-11-14 02:26:44,756 - mmseg - INFO - Iter [156400/160000] lr: 1.350e-06, eta: 0:14:42, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1439, decode.acc_seg: 93.7216, aux.loss_ce: 0.0900, aux.acc_seg: 90.9071, loss: 0.2339 2023-11-14 02:26:56,374 - mmseg - INFO - Iter [156450/160000] lr: 1.332e-06, eta: 0:14:30, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1461, decode.acc_seg: 93.6902, aux.loss_ce: 0.0922, aux.acc_seg: 90.7731, loss: 0.2383 2023-11-14 02:27:08,808 - mmseg - INFO - Iter [156500/160000] lr: 1.313e-06, eta: 0:14:18, time: 0.249, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1616, decode.acc_seg: 92.9539, aux.loss_ce: 0.1019, aux.acc_seg: 89.7818, loss: 0.2635 2023-11-14 02:27:20,478 - mmseg - INFO - Iter [156550/160000] lr: 1.294e-06, eta: 0:14:06, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1425, decode.acc_seg: 93.6768, aux.loss_ce: 0.0879, aux.acc_seg: 90.9717, loss: 0.2305 2023-11-14 02:27:32,097 - mmseg - INFO - Iter [156600/160000] lr: 1.275e-06, eta: 0:13:53, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1512, decode.acc_seg: 93.4220, aux.loss_ce: 0.0932, aux.acc_seg: 90.6880, loss: 0.2444 2023-11-14 02:27:45,963 - mmseg - INFO - Iter [156650/160000] lr: 1.257e-06, eta: 0:13:41, time: 0.277, data_time: 0.049, memory: 5958, decode.loss_ce: 0.1508, decode.acc_seg: 93.5532, aux.loss_ce: 0.0945, aux.acc_seg: 90.5451, loss: 0.2453 2023-11-14 02:27:57,766 - mmseg - INFO - Iter [156700/160000] lr: 1.238e-06, eta: 0:13:29, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1518, decode.acc_seg: 93.2302, aux.loss_ce: 0.0948, aux.acc_seg: 90.2771, loss: 0.2466 2023-11-14 02:28:10,296 - mmseg - INFO - Iter [156750/160000] lr: 1.219e-06, eta: 0:13:17, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1562, decode.acc_seg: 93.3304, aux.loss_ce: 0.0989, aux.acc_seg: 90.3009, loss: 0.2551 2023-11-14 02:28:23,768 - mmseg - INFO - Iter [156800/160000] lr: 1.200e-06, eta: 0:13:04, time: 0.270, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1517, decode.acc_seg: 93.4428, aux.loss_ce: 0.0953, aux.acc_seg: 90.5429, loss: 0.2471 2023-11-14 02:28:36,064 - mmseg - INFO - Iter [156850/160000] lr: 1.182e-06, eta: 0:12:52, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1516, decode.acc_seg: 93.4514, aux.loss_ce: 0.0963, aux.acc_seg: 90.4443, loss: 0.2479 2023-11-14 02:28:47,703 - mmseg - INFO - Iter [156900/160000] lr: 1.163e-06, eta: 0:12:40, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1540, decode.acc_seg: 93.3829, aux.loss_ce: 0.0968, aux.acc_seg: 90.2994, loss: 0.2508 2023-11-14 02:28:59,432 - mmseg - INFO - Iter [156950/160000] lr: 1.144e-06, eta: 0:12:28, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1460, decode.acc_seg: 93.6071, aux.loss_ce: 0.0909, aux.acc_seg: 90.6290, loss: 0.2369 2023-11-14 02:29:11,071 - mmseg - INFO - Saving checkpoint at 157000 iterations 2023-11-14 02:29:13,597 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:29:13,597 - mmseg - INFO - Iter [157000/160000] lr: 1.125e-06, eta: 0:12:15, time: 0.283, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1457, decode.acc_seg: 93.8515, aux.loss_ce: 0.0907, aux.acc_seg: 91.1211, loss: 0.2364 2023-11-14 02:29:25,441 - mmseg - INFO - Iter [157050/160000] lr: 1.107e-06, eta: 0:12:03, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1491, decode.acc_seg: 93.7296, aux.loss_ce: 0.0926, aux.acc_seg: 90.8509, loss: 0.2417 2023-11-14 02:29:37,736 - mmseg - INFO - Iter [157100/160000] lr: 1.088e-06, eta: 0:11:51, time: 0.246, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1534, decode.acc_seg: 93.2819, aux.loss_ce: 0.0927, aux.acc_seg: 90.7357, loss: 0.2462 2023-11-14 02:29:49,632 - mmseg - INFO - Iter [157150/160000] lr: 1.069e-06, eta: 0:11:39, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1464, decode.acc_seg: 93.6498, aux.loss_ce: 0.0924, aux.acc_seg: 90.7465, loss: 0.2388 2023-11-14 02:30:01,276 - mmseg - INFO - Iter [157200/160000] lr: 1.050e-06, eta: 0:11:26, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1542, decode.acc_seg: 93.2612, aux.loss_ce: 0.0961, aux.acc_seg: 90.4020, loss: 0.2503 2023-11-14 02:30:12,970 - mmseg - INFO - Iter [157250/160000] lr: 1.032e-06, eta: 0:11:14, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1537, decode.acc_seg: 93.2140, aux.loss_ce: 0.0964, aux.acc_seg: 90.2873, loss: 0.2501 2023-11-14 02:30:24,739 - mmseg - INFO - Iter [157300/160000] lr: 1.013e-06, eta: 0:11:02, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1465, decode.acc_seg: 93.7020, aux.loss_ce: 0.0924, aux.acc_seg: 90.8181, loss: 0.2389 2023-11-14 02:30:36,424 - mmseg - INFO - Iter [157350/160000] lr: 9.941e-07, eta: 0:10:49, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1545, decode.acc_seg: 93.3629, aux.loss_ce: 0.0962, aux.acc_seg: 90.3669, loss: 0.2507 2023-11-14 02:30:48,984 - mmseg - INFO - Iter [157400/160000] lr: 9.754e-07, eta: 0:10:37, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1529, decode.acc_seg: 93.3781, aux.loss_ce: 0.0945, aux.acc_seg: 90.5285, loss: 0.2474 2023-11-14 02:31:01,077 - mmseg - INFO - Iter [157450/160000] lr: 9.566e-07, eta: 0:10:25, time: 0.242, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1522, decode.acc_seg: 93.4805, aux.loss_ce: 0.0981, aux.acc_seg: 90.3439, loss: 0.2503 2023-11-14 02:31:12,691 - mmseg - INFO - Iter [157500/160000] lr: 9.379e-07, eta: 0:10:13, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1421, decode.acc_seg: 93.7719, aux.loss_ce: 0.0879, aux.acc_seg: 91.0982, loss: 0.2300 2023-11-14 02:31:24,477 - mmseg - INFO - Iter [157550/160000] lr: 9.191e-07, eta: 0:10:00, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1534, decode.acc_seg: 93.3862, aux.loss_ce: 0.0940, aux.acc_seg: 90.6488, loss: 0.2474 2023-11-14 02:31:36,191 - mmseg - INFO - Iter [157600/160000] lr: 9.004e-07, eta: 0:09:48, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1536, decode.acc_seg: 93.4061, aux.loss_ce: 0.0952, aux.acc_seg: 90.5115, loss: 0.2487 2023-11-14 02:31:47,968 - mmseg - INFO - Iter [157650/160000] lr: 8.816e-07, eta: 0:09:36, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1548, decode.acc_seg: 93.2376, aux.loss_ce: 0.0988, aux.acc_seg: 90.2188, loss: 0.2536 2023-11-14 02:31:59,728 - mmseg - INFO - Iter [157700/160000] lr: 8.629e-07, eta: 0:09:24, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1538, decode.acc_seg: 93.3928, aux.loss_ce: 0.0953, aux.acc_seg: 90.4880, loss: 0.2491 2023-11-14 02:32:11,395 - mmseg - INFO - Iter [157750/160000] lr: 8.441e-07, eta: 0:09:11, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1574, decode.acc_seg: 93.3667, aux.loss_ce: 0.0956, aux.acc_seg: 90.6172, loss: 0.2530 2023-11-14 02:32:23,564 - mmseg - INFO - Iter [157800/160000] lr: 8.254e-07, eta: 0:08:59, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1555, decode.acc_seg: 93.2849, aux.loss_ce: 0.0978, aux.acc_seg: 90.1590, loss: 0.2533 2023-11-14 02:32:36,641 - mmseg - INFO - Iter [157850/160000] lr: 8.066e-07, eta: 0:08:47, time: 0.262, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1496, decode.acc_seg: 93.5300, aux.loss_ce: 0.0938, aux.acc_seg: 90.8657, loss: 0.2434 2023-11-14 02:32:50,657 - mmseg - INFO - Iter [157900/160000] lr: 7.879e-07, eta: 0:08:35, time: 0.280, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1636, decode.acc_seg: 93.0230, aux.loss_ce: 0.1009, aux.acc_seg: 90.0711, loss: 0.2645 2023-11-14 02:33:02,686 - mmseg - INFO - Iter [157950/160000] lr: 7.691e-07, eta: 0:08:22, time: 0.240, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1531, decode.acc_seg: 93.4372, aux.loss_ce: 0.0962, aux.acc_seg: 90.5299, loss: 0.2492 2023-11-14 02:33:14,635 - mmseg - INFO - Saving checkpoint at 158000 iterations 2023-11-14 02:33:17,180 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:33:17,180 - mmseg - INFO - Iter [158000/160000] lr: 7.504e-07, eta: 0:08:10, time: 0.291, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1509, decode.acc_seg: 93.5573, aux.loss_ce: 0.0948, aux.acc_seg: 90.7483, loss: 0.2457 2023-11-14 02:33:28,934 - mmseg - INFO - Iter [158050/160000] lr: 7.316e-07, eta: 0:07:58, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1530, decode.acc_seg: 93.4932, aux.loss_ce: 0.0940, aux.acc_seg: 90.6519, loss: 0.2470 2023-11-14 02:33:40,805 - mmseg - INFO - Iter [158100/160000] lr: 7.129e-07, eta: 0:07:46, time: 0.237, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1513, decode.acc_seg: 93.4125, aux.loss_ce: 0.0944, aux.acc_seg: 90.5073, loss: 0.2457 2023-11-14 02:33:52,502 - mmseg - INFO - Iter [158150/160000] lr: 6.941e-07, eta: 0:07:33, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1551, decode.acc_seg: 93.3559, aux.loss_ce: 0.0960, aux.acc_seg: 90.4006, loss: 0.2511 2023-11-14 02:34:04,799 - mmseg - INFO - Iter [158200/160000] lr: 6.754e-07, eta: 0:07:21, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1599, decode.acc_seg: 93.2495, aux.loss_ce: 0.0976, aux.acc_seg: 90.6729, loss: 0.2575 2023-11-14 02:34:16,830 - mmseg - INFO - Iter [158250/160000] lr: 6.566e-07, eta: 0:07:09, time: 0.241, data_time: 0.006, memory: 5958, decode.loss_ce: 0.1489, decode.acc_seg: 93.4077, aux.loss_ce: 0.0934, aux.acc_seg: 90.3608, loss: 0.2424 2023-11-14 02:34:29,373 - mmseg - INFO - Iter [158300/160000] lr: 6.379e-07, eta: 0:06:56, time: 0.250, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1665, decode.acc_seg: 92.9058, aux.loss_ce: 0.0997, aux.acc_seg: 90.1201, loss: 0.2662 2023-11-14 02:34:41,090 - mmseg - INFO - Iter [158350/160000] lr: 6.191e-07, eta: 0:06:44, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1493, decode.acc_seg: 93.4830, aux.loss_ce: 0.0922, aux.acc_seg: 90.6166, loss: 0.2416 2023-11-14 02:34:52,751 - mmseg - INFO - Iter [158400/160000] lr: 6.004e-07, eta: 0:06:32, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1470, decode.acc_seg: 93.6732, aux.loss_ce: 0.0937, aux.acc_seg: 90.5998, loss: 0.2407 2023-11-14 02:35:04,505 - mmseg - INFO - Iter [158450/160000] lr: 5.816e-07, eta: 0:06:20, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1461, decode.acc_seg: 93.7583, aux.loss_ce: 0.0909, aux.acc_seg: 90.8962, loss: 0.2369 2023-11-14 02:35:16,307 - mmseg - INFO - Iter [158500/160000] lr: 5.629e-07, eta: 0:06:07, time: 0.236, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1454, decode.acc_seg: 93.5537, aux.loss_ce: 0.0931, aux.acc_seg: 90.4837, loss: 0.2386 2023-11-14 02:35:28,262 - mmseg - INFO - Iter [158550/160000] lr: 5.441e-07, eta: 0:05:55, time: 0.239, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1492, decode.acc_seg: 93.5026, aux.loss_ce: 0.0955, aux.acc_seg: 90.4248, loss: 0.2447 2023-11-14 02:35:40,120 - mmseg - INFO - Iter [158600/160000] lr: 5.254e-07, eta: 0:05:43, time: 0.237, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1493, decode.acc_seg: 93.6563, aux.loss_ce: 0.0939, aux.acc_seg: 90.9286, loss: 0.2432 2023-11-14 02:35:51,841 - mmseg - INFO - Iter [158650/160000] lr: 5.066e-07, eta: 0:05:31, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1571, decode.acc_seg: 93.3096, aux.loss_ce: 0.0941, aux.acc_seg: 90.4998, loss: 0.2513 2023-11-14 02:36:03,561 - mmseg - INFO - Iter [158700/160000] lr: 4.879e-07, eta: 0:05:18, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1459, decode.acc_seg: 93.6754, aux.loss_ce: 0.0926, aux.acc_seg: 90.6445, loss: 0.2385 2023-11-14 02:36:15,354 - mmseg - INFO - Iter [158750/160000] lr: 4.691e-07, eta: 0:05:06, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1454, decode.acc_seg: 93.4887, aux.loss_ce: 0.0897, aux.acc_seg: 90.8047, loss: 0.2351 2023-11-14 02:36:27,493 - mmseg - INFO - Iter [158800/160000] lr: 4.504e-07, eta: 0:04:54, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1492, decode.acc_seg: 93.5896, aux.loss_ce: 0.0935, aux.acc_seg: 90.6264, loss: 0.2427 2023-11-14 02:36:39,220 - mmseg - INFO - Iter [158850/160000] lr: 4.316e-07, eta: 0:04:42, time: 0.235, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1526, decode.acc_seg: 93.4398, aux.loss_ce: 0.0939, aux.acc_seg: 90.6605, loss: 0.2465 2023-11-14 02:36:51,409 - mmseg - INFO - Iter [158900/160000] lr: 4.129e-07, eta: 0:04:29, time: 0.243, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1479, decode.acc_seg: 93.3634, aux.loss_ce: 0.0927, aux.acc_seg: 90.4664, loss: 0.2405 2023-11-14 02:37:03,296 - mmseg - INFO - Iter [158950/160000] lr: 3.941e-07, eta: 0:04:17, time: 0.238, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1506, decode.acc_seg: 93.5530, aux.loss_ce: 0.0977, aux.acc_seg: 90.1749, loss: 0.2483 2023-11-14 02:37:14,961 - mmseg - INFO - Saving checkpoint at 159000 iterations 2023-11-14 02:37:17,562 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:37:17,562 - mmseg - INFO - Iter [159000/160000] lr: 3.754e-07, eta: 0:04:05, time: 0.285, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1547, decode.acc_seg: 93.3973, aux.loss_ce: 0.0983, aux.acc_seg: 90.2875, loss: 0.2530 2023-11-14 02:37:29,267 - mmseg - INFO - Iter [159050/160000] lr: 3.566e-07, eta: 0:03:52, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1517, decode.acc_seg: 93.4315, aux.loss_ce: 0.0932, aux.acc_seg: 90.6433, loss: 0.2448 2023-11-14 02:37:41,816 - mmseg - INFO - Iter [159100/160000] lr: 3.379e-07, eta: 0:03:40, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1500, decode.acc_seg: 93.4661, aux.loss_ce: 0.0942, aux.acc_seg: 90.5076, loss: 0.2441 2023-11-14 02:37:55,851 - mmseg - INFO - Iter [159150/160000] lr: 3.191e-07, eta: 0:03:28, time: 0.280, data_time: 0.048, memory: 5958, decode.loss_ce: 0.1472, decode.acc_seg: 93.5939, aux.loss_ce: 0.0900, aux.acc_seg: 90.8730, loss: 0.2372 2023-11-14 02:38:07,534 - mmseg - INFO - Iter [159200/160000] lr: 3.004e-07, eta: 0:03:16, time: 0.234, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1487, decode.acc_seg: 93.5329, aux.loss_ce: 0.0929, aux.acc_seg: 90.6556, loss: 0.2416 2023-11-14 02:38:19,193 - mmseg - INFO - Iter [159250/160000] lr: 2.816e-07, eta: 0:03:03, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1485, decode.acc_seg: 93.4086, aux.loss_ce: 0.0928, aux.acc_seg: 90.2902, loss: 0.2413 2023-11-14 02:38:30,839 - mmseg - INFO - Iter [159300/160000] lr: 2.629e-07, eta: 0:02:51, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1516, decode.acc_seg: 93.4291, aux.loss_ce: 0.0965, aux.acc_seg: 90.4177, loss: 0.2482 2023-11-14 02:38:43,564 - mmseg - INFO - Iter [159350/160000] lr: 2.441e-07, eta: 0:02:39, time: 0.254, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1514, decode.acc_seg: 93.5758, aux.loss_ce: 0.0950, aux.acc_seg: 90.7232, loss: 0.2464 2023-11-14 02:38:55,206 - mmseg - INFO - Iter [159400/160000] lr: 2.254e-07, eta: 0:02:27, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1473, decode.acc_seg: 93.6860, aux.loss_ce: 0.0966, aux.acc_seg: 90.4627, loss: 0.2438 2023-11-14 02:39:06,993 - mmseg - INFO - Iter [159450/160000] lr: 2.066e-07, eta: 0:02:14, time: 0.236, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1494, decode.acc_seg: 93.5573, aux.loss_ce: 0.0957, aux.acc_seg: 90.4783, loss: 0.2451 2023-11-14 02:39:18,624 - mmseg - INFO - Iter [159500/160000] lr: 1.879e-07, eta: 0:02:02, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1532, decode.acc_seg: 93.4004, aux.loss_ce: 0.0967, aux.acc_seg: 90.3669, loss: 0.2499 2023-11-14 02:39:30,385 - mmseg - INFO - Iter [159550/160000] lr: 1.691e-07, eta: 0:01:50, time: 0.235, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1512, decode.acc_seg: 93.4919, aux.loss_ce: 0.0954, aux.acc_seg: 90.6729, loss: 0.2466 2023-11-14 02:39:42,064 - mmseg - INFO - Iter [159600/160000] lr: 1.504e-07, eta: 0:01:38, time: 0.234, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1544, decode.acc_seg: 93.3612, aux.loss_ce: 0.0978, aux.acc_seg: 90.2080, loss: 0.2522 2023-11-14 02:39:53,735 - mmseg - INFO - Iter [159650/160000] lr: 1.316e-07, eta: 0:01:25, time: 0.233, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1491, decode.acc_seg: 93.4828, aux.loss_ce: 0.0947, aux.acc_seg: 90.3778, loss: 0.2438 2023-11-14 02:40:05,760 - mmseg - INFO - Iter [159700/160000] lr: 1.129e-07, eta: 0:01:13, time: 0.241, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1470, decode.acc_seg: 93.4904, aux.loss_ce: 0.0926, aux.acc_seg: 90.4889, loss: 0.2395 2023-11-14 02:40:18,314 - mmseg - INFO - Iter [159750/160000] lr: 9.413e-08, eta: 0:01:01, time: 0.251, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1558, decode.acc_seg: 93.2762, aux.loss_ce: 0.0951, aux.acc_seg: 90.5140, loss: 0.2508 2023-11-14 02:40:29,914 - mmseg - INFO - Iter [159800/160000] lr: 7.537e-08, eta: 0:00:49, time: 0.232, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1510, decode.acc_seg: 93.5118, aux.loss_ce: 0.0952, aux.acc_seg: 90.6120, loss: 0.2462 2023-11-14 02:40:42,287 - mmseg - INFO - Iter [159850/160000] lr: 5.663e-08, eta: 0:00:36, time: 0.247, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1508, decode.acc_seg: 93.3745, aux.loss_ce: 0.0927, aux.acc_seg: 90.6476, loss: 0.2435 2023-11-14 02:40:54,558 - mmseg - INFO - Iter [159900/160000] lr: 3.787e-08, eta: 0:00:24, time: 0.245, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1492, decode.acc_seg: 93.5179, aux.loss_ce: 0.0944, aux.acc_seg: 90.4164, loss: 0.2436 2023-11-14 02:41:06,576 - mmseg - INFO - Iter [159950/160000] lr: 1.913e-08, eta: 0:00:12, time: 0.240, data_time: 0.005, memory: 5958, decode.loss_ce: 0.1559, decode.acc_seg: 93.2797, aux.loss_ce: 0.0978, aux.acc_seg: 90.2417, loss: 0.2537 2023-11-14 02:41:18,351 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-11-14 02:41:21,056 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:41:21,057 - mmseg - INFO - Iter [160000/160000] lr: 3.750e-10, eta: 0:00:00, time: 0.290, data_time: 0.004, memory: 5958, decode.loss_ce: 0.1506, decode.acc_seg: 93.4341, aux.loss_ce: 0.0927, aux.acc_seg: 90.6659, loss: 0.2433 2023-11-14 02:41:34,987 - mmseg - INFO - per class results: 2023-11-14 02:41:34,993 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.6 | 88.49 | | building | 83.67 | 93.66 | | sky | 94.52 | 97.49 | | floor | 81.89 | 91.09 | | tree | 73.79 | 87.28 | | ceiling | 84.88 | 92.88 | | road | 85.18 | 91.59 | | bed | 90.26 | 96.58 | | windowpane | 63.97 | 79.75 | | grass | 65.42 | 79.51 | | cabinet | 61.42 | 74.43 | | sidewalk | 68.16 | 83.15 | | person | 82.38 | 93.39 | | earth | 37.8 | 51.87 | | door | 53.64 | 68.41 | | table | 63.02 | 79.96 | | mountain | 57.96 | 73.04 | | plant | 50.98 | 62.86 | | curtain | 74.04 | 85.84 | | chair | 59.92 | 73.86 | | car | 85.36 | 92.85 | | water | 52.01 | 66.52 | | painting | 70.67 | 87.19 | | sofa | 67.99 | 83.97 | | shelf | 41.27 | 55.88 | | house | 54.96 | 68.23 | | sea | 56.89 | 77.79 | | mirror | 72.98 | 79.69 | | rug | 59.25 | 70.37 | | field | 28.45 | 42.71 | | armchair | 44.64 | 61.73 | | seat | 61.93 | 82.52 | | fence | 48.14 | 65.33 | | desk | 50.55 | 68.12 | | rock | 43.9 | 70.71 | | wardrobe | 52.39 | 71.52 | | lamp | 66.78 | 78.19 | | bathtub | 76.56 | 81.29 | | railing | 37.09 | 49.85 | | cushion | 61.68 | 73.51 | | base | 24.17 | 33.62 | | box | 28.85 | 38.22 | | column | 50.73 | 62.89 | | signboard | 38.92 | 52.96 | | chest of drawers | 42.83 | 62.98 | | counter | 33.79 | 44.4 | | sand | 50.52 | 72.61 | | sink | 71.23 | 80.93 | | skyscraper | 44.48 | 55.99 | | fireplace | 76.87 | 89.41 | | refrigerator | 80.74 | 86.51 | | grandstand | 51.28 | 75.58 | | path | 27.96 | 40.86 | | stairs | 32.53 | 40.71 | | runway | 63.97 | 85.47 | | case | 40.14 | 52.39 | | pool table | 93.77 | 97.34 | | pillow | 59.16 | 68.07 | | screen door | 73.57 | 84.42 | | stairway | 29.54 | 36.67 | | river | 7.12 | 16.11 | | bridge | 75.22 | 83.99 | | bookcase | 39.51 | 56.73 | | blind | 43.48 | 49.81 | | coffee table | 61.75 | 84.86 | | toilet | 85.96 | 91.41 | | flower | 44.35 | 58.07 | | book | 47.95 | 76.42 | | hill | 6.76 | 10.15 | | bench | 48.02 | 55.33 | | countertop | 52.78 | 72.52 | | stove | 79.19 | 85.24 | | palm | 53.29 | 73.45 | | kitchen island | 37.07 | 63.65 | | computer | 72.59 | 80.7 | | swivel chair | 43.92 | 57.04 | | boat | 44.93 | 53.28 | | bar | 36.14 | 48.79 | | arcade machine | 76.87 | 81.19 | | hovel | 35.21 | 38.87 | | bus | 91.48 | 97.44 | | towel | 63.95 | 75.85 | | light | 55.84 | 64.13 | | truck | 42.96 | 54.62 | | tower | 35.35 | 45.15 | | chandelier | 72.17 | 83.3 | | awning | 30.44 | 36.45 | | streetlight | 30.1 | 39.66 | | booth | 41.13 | 42.31 | | television receiver | 73.8 | 80.44 | | airplane | 59.21 | 68.98 | | dirt track | 17.45 | 31.12 | | apparel | 48.33 | 62.94 | | pole | 23.68 | 35.04 | | land | 5.12 | 6.82 | | bannister | 17.65 | 22.8 | | escalator | 33.73 | 45.03 | | ottoman | 51.65 | 69.15 | | bottle | 39.3 | 61.15 | | buffet | 35.38 | 43.86 | | poster | 33.82 | 40.57 | | stage | 21.38 | 29.92 | | van | 43.86 | 58.02 | | ship | 11.54 | 17.29 | | fountain | 19.93 | 21.11 | | conveyer belt | 64.44 | 87.18 | | canopy | 18.52 | 28.5 | | washer | 73.1 | 75.57 | | plaything | 27.96 | 39.11 | | swimming pool | 46.49 | 70.29 | | stool | 44.32 | 60.52 | | barrel | 49.65 | 73.32 | | basket | 34.0 | 42.78 | | waterfall | 47.83 | 57.68 | | tent | 92.61 | 98.68 | | bag | 17.72 | 22.5 | | minibike | 68.58 | 85.23 | | cradle | 83.23 | 92.54 | | oven | 48.43 | 70.59 | | ball | 50.03 | 60.71 | | food | 57.68 | 65.18 | | step | 14.23 | 17.52 | | tank | 60.84 | 63.01 | | trade name | 31.25 | 36.93 | | microwave | 77.42 | 85.96 | | pot | 46.59 | 53.62 | | animal | 66.97 | 70.21 | | bicycle | 54.43 | 74.86 | | lake | 29.79 | 34.08 | | dishwasher | 76.41 | 82.04 | | screen | 52.35 | 70.17 | | blanket | 17.48 | 20.13 | | sculpture | 65.67 | 82.06 | | hood | 60.52 | 68.57 | | sconce | 50.68 | 63.13 | | vase | 44.56 | 58.37 | | traffic light | 35.21 | 58.62 | | tray | 10.35 | 21.83 | | ashcan | 47.25 | 58.17 | | fan | 66.22 | 78.39 | | pier | 30.45 | 43.98 | | crt screen | 6.2 | 19.8 | | plate | 54.97 | 69.94 | | monitor | 10.59 | 12.15 | | bulletin board | 39.96 | 57.03 | | shower | 4.78 | 7.68 | | radiator | 57.51 | 63.88 | | glass | 15.75 | 17.11 | | clock | 42.21 | 51.3 | | flag | 43.85 | 47.28 | +---------------------+-------+-------+ 2023-11-14 02:41:34,993 - mmseg - INFO - Summary: 2023-11-14 02:41:34,993 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 83.73 | 50.6 | 62.16 | +-------+------+-------+ 2023-11-14 02:41:35,000 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/upernet_flash_internimage_s_512_160k_ade20k/best_mIoU_iter_112000.pth was removed 2023-11-14 02:41:38,204 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_160000.pth. 2023-11-14 02:41:38,205 - mmseg - INFO - Best mIoU is 0.5060 at 160000 iter. 2023-11-14 02:41:38,205 - mmseg - INFO - Exp name: upernet_flash_internimage_s_512_160k_ade20k.py 2023-11-14 02:41:38,205 - mmseg - INFO - Iter(val) [250] aAcc: 0.8373, mIoU: 0.5060, mAcc: 0.6216, IoU.wall: 0.7860, IoU.building: 0.8367, IoU.sky: 0.9452, IoU.floor: 0.8189, IoU.tree: 0.7379, IoU.ceiling: 0.8488, IoU.road: 0.8518, IoU.bed : 0.9026, IoU.windowpane: 0.6397, IoU.grass: 0.6542, IoU.cabinet: 0.6142, IoU.sidewalk: 0.6816, IoU.person: 0.8238, IoU.earth: 0.3780, IoU.door: 0.5364, IoU.table: 0.6302, IoU.mountain: 0.5796, IoU.plant: 0.5098, IoU.curtain: 0.7404, IoU.chair: 0.5992, IoU.car: 0.8536, IoU.water: 0.5201, IoU.painting: 0.7067, IoU.sofa: 0.6799, IoU.shelf: 0.4127, IoU.house: 0.5496, IoU.sea: 0.5689, IoU.mirror: 0.7298, IoU.rug: 0.5925, IoU.field: 0.2845, IoU.armchair: 0.4464, IoU.seat: 0.6193, IoU.fence: 0.4814, IoU.desk: 0.5055, IoU.rock: 0.4390, IoU.wardrobe: 0.5239, IoU.lamp: 0.6678, IoU.bathtub: 0.7656, IoU.railing: 0.3709, IoU.cushion: 0.6168, IoU.base: 0.2417, IoU.box: 0.2885, IoU.column: 0.5073, IoU.signboard: 0.3892, IoU.chest of drawers: 0.4283, IoU.counter: 0.3379, IoU.sand: 0.5052, IoU.sink: 0.7123, IoU.skyscraper: 0.4448, IoU.fireplace: 0.7687, IoU.refrigerator: 0.8074, IoU.grandstand: 0.5128, IoU.path: 0.2796, IoU.stairs: 0.3253, IoU.runway: 0.6397, IoU.case: 0.4014, IoU.pool table: 0.9377, IoU.pillow: 0.5916, IoU.screen door: 0.7357, IoU.stairway: 0.2954, IoU.river: 0.0712, IoU.bridge: 0.7522, IoU.bookcase: 0.3951, IoU.blind: 0.4348, IoU.coffee table: 0.6175, IoU.toilet: 0.8596, IoU.flower: 0.4435, IoU.book: 0.4795, IoU.hill: 0.0676, IoU.bench: 0.4802, IoU.countertop: 0.5278, IoU.stove: 0.7919, IoU.palm: 0.5329, IoU.kitchen island: 0.3707, IoU.computer: 0.7259, IoU.swivel chair: 0.4392, IoU.boat: 0.4493, IoU.bar: 0.3614, IoU.arcade machine: 0.7687, IoU.hovel: 0.3521, IoU.bus: 0.9148, IoU.towel: 0.6395, IoU.light: 0.5584, IoU.truck: 0.4296, IoU.tower: 0.3535, IoU.chandelier: 0.7217, IoU.awning: 0.3044, IoU.streetlight: 0.3010, IoU.booth: 0.4113, IoU.television receiver: 0.7380, IoU.airplane: 0.5921, IoU.dirt track: 0.1745, IoU.apparel: 0.4833, IoU.pole: 0.2368, IoU.land: 0.0512, IoU.bannister: 0.1765, IoU.escalator: 0.3373, IoU.ottoman: 0.5165, IoU.bottle: 0.3930, IoU.buffet: 0.3538, IoU.poster: 0.3382, IoU.stage: 0.2138, IoU.van: 0.4386, IoU.ship: 0.1154, IoU.fountain: 0.1993, IoU.conveyer belt: 0.6444, IoU.canopy: 0.1852, IoU.washer: 0.7310, IoU.plaything: 0.2796, IoU.swimming pool: 0.4649, IoU.stool: 0.4432, IoU.barrel: 0.4965, IoU.basket: 0.3400, IoU.waterfall: 0.4783, IoU.tent: 0.9261, IoU.bag: 0.1772, IoU.minibike: 0.6858, IoU.cradle: 0.8323, IoU.oven: 0.4843, IoU.ball: 0.5003, IoU.food: 0.5768, IoU.step: 0.1423, IoU.tank: 0.6084, IoU.trade name: 0.3125, IoU.microwave: 0.7742, IoU.pot: 0.4659, IoU.animal: 0.6697, IoU.bicycle: 0.5443, IoU.lake: 0.2979, IoU.dishwasher: 0.7641, IoU.screen: 0.5235, IoU.blanket: 0.1748, IoU.sculpture: 0.6567, IoU.hood: 0.6052, IoU.sconce: 0.5068, IoU.vase: 0.4456, IoU.traffic light: 0.3521, IoU.tray: 0.1035, IoU.ashcan: 0.4725, IoU.fan: 0.6622, IoU.pier: 0.3045, IoU.crt screen: 0.0620, IoU.plate: 0.5497, IoU.monitor: 0.1059, IoU.bulletin board: 0.3996, IoU.shower: 0.0478, IoU.radiator: 0.5751, IoU.glass: 0.1575, IoU.clock: 0.4221, IoU.flag: 0.4385, Acc.wall: 0.8849, Acc.building: 0.9366, Acc.sky: 0.9749, Acc.floor: 0.9109, Acc.tree: 0.8728, Acc.ceiling: 0.9288, Acc.road: 0.9159, Acc.bed : 0.9658, Acc.windowpane: 0.7975, Acc.grass: 0.7951, Acc.cabinet: 0.7443, Acc.sidewalk: 0.8315, Acc.person: 0.9339, Acc.earth: 0.5187, Acc.door: 0.6841, Acc.table: 0.7996, Acc.mountain: 0.7304, Acc.plant: 0.6286, Acc.curtain: 0.8584, Acc.chair: 0.7386, Acc.car: 0.9285, Acc.water: 0.6652, Acc.painting: 0.8719, Acc.sofa: 0.8397, Acc.shelf: 0.5588, Acc.house: 0.6823, Acc.sea: 0.7779, Acc.mirror: 0.7969, Acc.rug: 0.7037, Acc.field: 0.4271, Acc.armchair: 0.6173, Acc.seat: 0.8252, Acc.fence: 0.6533, Acc.desk: 0.6812, Acc.rock: 0.7071, Acc.wardrobe: 0.7152, Acc.lamp: 0.7819, Acc.bathtub: 0.8129, Acc.railing: 0.4985, Acc.cushion: 0.7351, Acc.base: 0.3362, Acc.box: 0.3822, Acc.column: 0.6289, Acc.signboard: 0.5296, Acc.chest of drawers: 0.6298, Acc.counter: 0.4440, Acc.sand: 0.7261, Acc.sink: 0.8093, Acc.skyscraper: 0.5599, Acc.fireplace: 0.8941, Acc.refrigerator: 0.8651, Acc.grandstand: 0.7558, Acc.path: 0.4086, Acc.stairs: 0.4071, Acc.runway: 0.8547, Acc.case: 0.5239, Acc.pool table: 0.9734, Acc.pillow: 0.6807, Acc.screen door: 0.8442, Acc.stairway: 0.3667, Acc.river: 0.1611, Acc.bridge: 0.8399, Acc.bookcase: 0.5673, Acc.blind: 0.4981, Acc.coffee table: 0.8486, Acc.toilet: 0.9141, Acc.flower: 0.5807, Acc.book: 0.7642, Acc.hill: 0.1015, Acc.bench: 0.5533, Acc.countertop: 0.7252, Acc.stove: 0.8524, Acc.palm: 0.7345, Acc.kitchen island: 0.6365, Acc.computer: 0.8070, Acc.swivel chair: 0.5704, Acc.boat: 0.5328, Acc.bar: 0.4879, Acc.arcade machine: 0.8119, Acc.hovel: 0.3887, Acc.bus: 0.9744, Acc.towel: 0.7585, Acc.light: 0.6413, Acc.truck: 0.5462, Acc.tower: 0.4515, Acc.chandelier: 0.8330, Acc.awning: 0.3645, Acc.streetlight: 0.3966, Acc.booth: 0.4231, Acc.television receiver: 0.8044, Acc.airplane: 0.6898, Acc.dirt track: 0.3112, Acc.apparel: 0.6294, Acc.pole: 0.3504, Acc.land: 0.0682, Acc.bannister: 0.2280, Acc.escalator: 0.4503, Acc.ottoman: 0.6915, Acc.bottle: 0.6115, Acc.buffet: 0.4386, Acc.poster: 0.4057, Acc.stage: 0.2992, Acc.van: 0.5802, Acc.ship: 0.1729, Acc.fountain: 0.2111, Acc.conveyer belt: 0.8718, Acc.canopy: 0.2850, Acc.washer: 0.7557, Acc.plaything: 0.3911, Acc.swimming pool: 0.7029, Acc.stool: 0.6052, Acc.barrel: 0.7332, Acc.basket: 0.4278, Acc.waterfall: 0.5768, Acc.tent: 0.9868, Acc.bag: 0.2250, Acc.minibike: 0.8523, Acc.cradle: 0.9254, Acc.oven: 0.7059, Acc.ball: 0.6071, Acc.food: 0.6518, Acc.step: 0.1752, Acc.tank: 0.6301, Acc.trade name: 0.3693, Acc.microwave: 0.8596, Acc.pot: 0.5362, Acc.animal: 0.7021, Acc.bicycle: 0.7486, Acc.lake: 0.3408, Acc.dishwasher: 0.8204, Acc.screen: 0.7017, Acc.blanket: 0.2013, Acc.sculpture: 0.8206, Acc.hood: 0.6857, Acc.sconce: 0.6313, Acc.vase: 0.5837, Acc.traffic light: 0.5862, Acc.tray: 0.2183, Acc.ashcan: 0.5817, Acc.fan: 0.7839, Acc.pier: 0.4398, Acc.crt screen: 0.1980, Acc.plate: 0.6994, Acc.monitor: 0.1215, Acc.bulletin board: 0.5703, Acc.shower: 0.0768, Acc.radiator: 0.6388, Acc.glass: 0.1711, Acc.clock: 0.5130, Acc.flag: 0.4728