2022/08/25 22:15:00 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.7.13 (default, Mar 29 2022, 02:18:16) [GCC 7.5.0] CUDA available: True numpy_random_seed: 138715539 GPU 0: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/cache/share/cuda-11.1 NVCC: Cuda compilation tools, release 11.1, V11.1.74 GCC: gcc (GCC) 5.4.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.5.4 MMEngine: 0.0.1 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: slurm Distributed training: True GPU number: 1 ------------------------------------------------------------ 2022/08/25 22:15:00 - mmengine - INFO - Config: file_client_args = dict(backend='disk') model = dict( type='PSENet', backbone=dict( type='mmdet.ResNet', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=-1, norm_cfg=dict(type='SyncBN', requires_grad=True), init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'), norm_eval=True, style='caffe'), neck=dict( type='FPNF', in_channels=[256, 512, 1024, 2048], out_channels=256, fusion_type='concat'), det_head=dict( type='PSEHead', in_channels=[256], hidden_dim=256, out_channel=7, module_loss=dict(type='PSEModuleLoss'), postprocessor=dict(type='PSEPostprocessor', text_repr_type='poly')), data_preprocessor=dict( type='TextDetDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True, pad_size_divisor=32)) train_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='ShortScaleAspectJitter', short_size=736, scale_divisor=32), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='RandomRotate', max_angle=10), dict(type='TextDetRandomCrop', target_size=(736, 736)), dict(type='Pad', size=(736, 736)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] test_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(2240, 2240), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] ctw_det_data_root = 'data/det/ctw1500' ctw_det_train = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='ShortScaleAspectJitter', short_size=736, scale_divisor=32), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='RandomRotate', max_angle=10), dict(type='TextDetRandomCrop', target_size=(736, 736)), dict(type='Pad', size=(736, 736)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) ctw_det_test = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1280, 1280), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) default_scope = 'mmocr' env_cfg = dict( cudnn_benchmark=True, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) randomness = dict(seed=None) default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=5), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=20, out_dir=''), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffer=dict(type='SyncBuffersHook'), visualization=dict( type='VisualizationHook', interval=1, enable=False, show=False, draw_gt=False, draw_pred=False)) log_level = 'INFO' log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True) load_from = None resume = False val_evaluator = dict(type='HmeanIOUMetric') test_evaluator = dict(type='HmeanIOUMetric') vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='TextDetLocalVisualizer', name='visualizer', vis_backends=[dict(type='LocalVisBackend')]) optim_wrapper = dict( type='OptimWrapper', optimizer=dict(type='Adam', lr=0.0001)) train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=600, val_interval=40) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [dict(type='MultiStepLR', milestones=[200, 400], end=600)] test_pipeline_ctw = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1280, 1280), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] train_dataloader = dict( batch_size=16, num_workers=8, persistent_workers=False, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict( type='ShortScaleAspectJitter', short_size=736, scale_divisor=32), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='RandomRotate', max_angle=10), dict(type='TextDetRandomCrop', target_size=(736, 736)), dict(type='Pad', size=(736, 736)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) val_dataloader = dict( batch_size=1, num_workers=1, persistent_workers=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1280, 1280), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) test_dataloader = dict( batch_size=1, num_workers=1, persistent_workers=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1280, 1280), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) launcher = 'slurm' work_dir = './work_dirs/psenet_resnet50_fpnf_600e_ctw1500' Name of parameter - Initialization information backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet50 backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 neck.lateral_convs.0.conv.weight - torch.Size([256, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.lateral_convs.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.lateral_convs.1.conv.weight - torch.Size([256, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.lateral_convs.1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.lateral_convs.2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.lateral_convs.3.conv.weight - torch.Size([256, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.3.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.lateral_convs.3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.fpn_convs.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.fpn_convs.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.fpn_convs.1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.fpn_convs.1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.fpn_convs.2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.fpn_convs.2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.output_convs.conv.weight - torch.Size([256, 1024, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.output_convs.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet neck.output_convs.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet det_head.conv1.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of PSENet det_head.conv1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet det_head.bn1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet det_head.bn1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of PSENet det_head.conv2.weight - torch.Size([7, 256, 1, 1]): The value is the same before and after calling `init_weights` of PSENet det_head.conv2.bias - torch.Size([7]): The value is the same before and after calling `init_weights` of PSENet 2022/08/25 22:18:16 - mmengine - INFO - Epoch(train) [1][5/63] lr: 1.0000e-04 memory: 49301 data_time: 22.3293 loss_text: 0.3221 loss_kernel: 0.1908 loss: 0.5128 time: 26.1129 2022/08/25 22:18:20 - mmengine - INFO - Epoch(train) [1][10/63] lr: 1.0000e-04 eta: 5 days, 21:45:19 time: 13.5041 data_time: 11.1902 memory: 25127 loss_text: 0.2822 loss_kernel: 0.1647 loss: 0.4470 2022/08/25 22:18:25 - mmengine - INFO - Epoch(train) [1][15/63] lr: 1.0000e-04 eta: 5 days, 21:45:19 time: 0.9186 data_time: 0.0330 memory: 25127 loss_text: 0.2393 loss_kernel: 0.1248 loss: 0.3641 2022/08/25 22:18:30 - mmengine - INFO - Epoch(train) [1][20/63] lr: 1.0000e-04 eta: 3 days, 3:44:49 time: 0.9316 data_time: 0.0338 memory: 25127 loss_text: 0.2147 loss_kernel: 0.1030 loss: 0.3177 2022/08/25 22:18:34 - mmengine - INFO - Epoch(train) [1][25/63] lr: 1.0000e-04 eta: 3 days, 3:44:49 time: 0.8883 data_time: 0.0343 memory: 25127 loss_text: 0.1894 loss_kernel: 0.0956 loss: 0.2850 2022/08/25 22:18:39 - mmengine - INFO - Epoch(train) [1][30/63] lr: 1.0000e-04 eta: 2 days, 5:42:44 time: 0.9229 data_time: 0.0252 memory: 25127 loss_text: 0.1889 loss_kernel: 0.0927 loss: 0.2817 2022/08/25 22:18:43 - mmengine - INFO - Epoch(train) [1][35/63] lr: 1.0000e-04 eta: 2 days, 5:42:44 time: 0.9390 data_time: 0.0283 memory: 25127 loss_text: 0.1932 loss_kernel: 0.0889 loss: 0.2822 2022/08/25 22:18:48 - mmengine - INFO - Epoch(train) [1][40/63] lr: 1.0000e-04 eta: 1 day, 18:33:53 time: 0.8738 data_time: 0.0264 memory: 25127 loss_text: 0.1848 loss_kernel: 0.0823 loss: 0.2671 2022/08/25 22:18:52 - mmengine - INFO - Epoch(train) [1][45/63] lr: 1.0000e-04 eta: 1 day, 18:33:53 time: 0.8662 data_time: 0.0347 memory: 25127 loss_text: 0.1723 loss_kernel: 0.0755 loss: 0.2478 2022/08/25 22:18:56 - mmengine - INFO - Epoch(train) [1][50/63] lr: 1.0000e-04 eta: 1 day, 11:52:40 time: 0.8750 data_time: 0.0292 memory: 25127 loss_text: 0.1635 loss_kernel: 0.0716 loss: 0.2351 2022/08/25 22:19:01 - mmengine - INFO - Epoch(train) [1][55/63] lr: 1.0000e-04 eta: 1 day, 11:52:40 time: 0.8664 data_time: 0.0240 memory: 25127 loss_text: 0.1575 loss_kernel: 0.0713 loss: 0.2287 2022/08/25 22:19:05 - mmengine - INFO - Epoch(train) [1][60/63] lr: 1.0000e-04 eta: 1 day, 7:22:05 time: 0.8458 data_time: 0.0257 memory: 25127 loss_text: 0.1632 loss_kernel: 0.0721 loss: 0.2353 2022/08/25 22:19:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:20:44 - mmengine - INFO - Epoch(train) [2][5/63] lr: 1.0000e-04 eta: 1 day, 7:22:05 time: 10.0853 data_time: 8.3977 memory: 45472 loss_text: 0.1588 loss_kernel: 0.0724 loss: 0.2312 2022/08/25 22:20:49 - mmengine - INFO - Epoch(train) [2][10/63] lr: 1.0000e-04 eta: 1 day, 15:03:25 time: 9.2534 data_time: 8.4161 memory: 25127 loss_text: 0.1487 loss_kernel: 0.0660 loss: 0.2147 2022/08/25 22:20:53 - mmengine - INFO - Epoch(train) [2][15/63] lr: 1.0000e-04 eta: 1 day, 15:03:25 time: 0.8432 data_time: 0.0300 memory: 25127 loss_text: 0.1525 loss_kernel: 0.0676 loss: 0.2201 2022/08/25 22:20:57 - mmengine - INFO - Epoch(train) [2][20/63] lr: 1.0000e-04 eta: 1 day, 11:22:27 time: 0.8176 data_time: 0.0179 memory: 25127 loss_text: 0.1427 loss_kernel: 0.0629 loss: 0.2055 2022/08/25 22:21:01 - mmengine - INFO - Epoch(train) [2][25/63] lr: 1.0000e-04 eta: 1 day, 11:22:27 time: 0.8595 data_time: 0.0348 memory: 25127 loss_text: 0.1608 loss_kernel: 0.0724 loss: 0.2332 2022/08/25 22:21:05 - mmengine - INFO - Epoch(train) [2][30/63] lr: 1.0000e-04 eta: 1 day, 8:30:55 time: 0.8463 data_time: 0.0265 memory: 25127 loss_text: 0.1647 loss_kernel: 0.0733 loss: 0.2380 2022/08/25 22:21:10 - mmengine - INFO - Epoch(train) [2][35/63] lr: 1.0000e-04 eta: 1 day, 8:30:55 time: 0.9124 data_time: 0.0248 memory: 25127 loss_text: 0.1417 loss_kernel: 0.0609 loss: 0.2026 2022/08/25 22:21:14 - mmengine - INFO - Epoch(train) [2][40/63] lr: 1.0000e-04 eta: 1 day, 6:17:25 time: 0.9242 data_time: 0.0298 memory: 25127 loss_text: 0.1334 loss_kernel: 0.0589 loss: 0.1923 2022/08/25 22:21:19 - mmengine - INFO - Epoch(train) [2][45/63] lr: 1.0000e-04 eta: 1 day, 6:17:25 time: 0.8979 data_time: 0.0883 memory: 25127 loss_text: 0.1315 loss_kernel: 0.0603 loss: 0.1918 2022/08/25 22:21:24 - mmengine - INFO - Epoch(train) [2][50/63] lr: 1.0000e-04 eta: 1 day, 4:29:09 time: 0.9536 data_time: 0.1117 memory: 25127 loss_text: 0.1331 loss_kernel: 0.0595 loss: 0.1926 2022/08/25 22:21:28 - mmengine - INFO - Epoch(train) [2][55/63] lr: 1.0000e-04 eta: 1 day, 4:29:09 time: 0.8932 data_time: 0.0469 memory: 25127 loss_text: 0.1388 loss_kernel: 0.0614 loss: 0.2002 2022/08/25 22:21:32 - mmengine - INFO - Epoch(train) [2][60/63] lr: 1.0000e-04 eta: 1 day, 2:52:31 time: 0.8372 data_time: 0.0205 memory: 25127 loss_text: 0.1504 loss_kernel: 0.0649 loss: 0.2152 2022/08/25 22:21:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:23:03 - mmengine - INFO - Epoch(train) [3][5/63] lr: 1.0000e-04 eta: 1 day, 2:52:31 time: 9.2419 data_time: 8.4190 memory: 25127 loss_text: 0.1395 loss_kernel: 0.0633 loss: 0.2028 2022/08/25 22:23:07 - mmengine - INFO - Epoch(train) [3][10/63] lr: 1.0000e-04 eta: 1 day, 7:25:29 time: 9.2644 data_time: 8.4355 memory: 25127 loss_text: 0.1334 loss_kernel: 0.0582 loss: 0.1916 2022/08/25 22:23:12 - mmengine - INFO - Epoch(train) [3][15/63] lr: 1.0000e-04 eta: 1 day, 7:25:29 time: 0.8606 data_time: 0.0308 memory: 25127 loss_text: 0.1212 loss_kernel: 0.0532 loss: 0.1744 2022/08/25 22:23:16 - mmengine - INFO - Epoch(train) [3][20/63] lr: 1.0000e-04 eta: 1 day, 5:52:59 time: 0.8632 data_time: 0.0208 memory: 25127 loss_text: 0.1187 loss_kernel: 0.0527 loss: 0.1714 2022/08/25 22:23:20 - mmengine - INFO - Epoch(train) [3][25/63] lr: 1.0000e-04 eta: 1 day, 5:52:59 time: 0.8432 data_time: 0.0298 memory: 25127 loss_text: 0.1293 loss_kernel: 0.0584 loss: 0.1877 2022/08/25 22:23:24 - mmengine - INFO - Epoch(train) [3][30/63] lr: 1.0000e-04 eta: 1 day, 4:31:17 time: 0.8373 data_time: 0.0320 memory: 25127 loss_text: 0.1324 loss_kernel: 0.0596 loss: 0.1920 2022/08/25 22:23:29 - mmengine - INFO - Epoch(train) [3][35/63] lr: 1.0000e-04 eta: 1 day, 4:31:17 time: 0.8682 data_time: 0.0318 memory: 25127 loss_text: 0.1489 loss_kernel: 0.0602 loss: 0.2090 2022/08/25 22:23:33 - mmengine - INFO - Epoch(train) [3][40/63] lr: 1.0000e-04 eta: 1 day, 3:20:24 time: 0.8640 data_time: 0.0278 memory: 25127 loss_text: 0.1545 loss_kernel: 0.0641 loss: 0.2186 2022/08/25 22:23:37 - mmengine - INFO - Epoch(train) [3][45/63] lr: 1.0000e-04 eta: 1 day, 3:20:24 time: 0.8334 data_time: 0.0329 memory: 25127 loss_text: 0.1393 loss_kernel: 0.0604 loss: 0.1997 2022/08/25 22:23:42 - mmengine - INFO - Epoch(train) [3][50/63] lr: 1.0000e-04 eta: 1 day, 2:19:00 time: 0.9041 data_time: 0.0481 memory: 25127 loss_text: 0.1401 loss_kernel: 0.0591 loss: 0.1992 2022/08/25 22:23:46 - mmengine - INFO - Epoch(train) [3][55/63] lr: 1.0000e-04 eta: 1 day, 2:19:00 time: 0.8939 data_time: 0.0421 memory: 25127 loss_text: 0.1488 loss_kernel: 0.0608 loss: 0.2096 2022/08/25 22:23:50 - mmengine - INFO - Epoch(train) [3][60/63] lr: 1.0000e-04 eta: 1 day, 1:21:19 time: 0.8190 data_time: 0.0252 memory: 25127 loss_text: 0.1449 loss_kernel: 0.0588 loss: 0.2037 2022/08/25 22:23:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:25:24 - mmengine - INFO - Epoch(train) [4][5/63] lr: 1.0000e-04 eta: 1 day, 1:21:19 time: 9.4622 data_time: 8.6811 memory: 25127 loss_text: 0.1288 loss_kernel: 0.0550 loss: 0.1838 2022/08/25 22:25:28 - mmengine - INFO - Epoch(train) [4][10/63] lr: 1.0000e-04 eta: 1 day, 4:42:00 time: 9.5441 data_time: 8.7077 memory: 25127 loss_text: 0.1261 loss_kernel: 0.0548 loss: 0.1809 2022/08/25 22:25:32 - mmengine - INFO - Epoch(train) [4][15/63] lr: 1.0000e-04 eta: 1 day, 4:42:00 time: 0.8979 data_time: 0.0406 memory: 25127 loss_text: 0.1264 loss_kernel: 0.0569 loss: 0.1833 2022/08/25 22:25:37 - mmengine - INFO - Epoch(train) [4][20/63] lr: 1.0000e-04 eta: 1 day, 3:45:41 time: 0.8846 data_time: 0.0182 memory: 25127 loss_text: 0.1163 loss_kernel: 0.0547 loss: 0.1711 2022/08/25 22:25:41 - mmengine - INFO - Epoch(train) [4][25/63] lr: 1.0000e-04 eta: 1 day, 3:45:41 time: 0.8544 data_time: 0.0308 memory: 25127 loss_text: 0.1222 loss_kernel: 0.0549 loss: 0.1771 2022/08/25 22:25:45 - mmengine - INFO - Epoch(train) [4][30/63] lr: 1.0000e-04 eta: 1 day, 2:53:10 time: 0.8379 data_time: 0.0255 memory: 25127 loss_text: 0.1248 loss_kernel: 0.0562 loss: 0.1811 2022/08/25 22:25:49 - mmengine - INFO - Epoch(train) [4][35/63] lr: 1.0000e-04 eta: 1 day, 2:53:10 time: 0.8451 data_time: 0.0236 memory: 25127 loss_text: 0.1244 loss_kernel: 0.0527 loss: 0.1771 2022/08/25 22:25:54 - mmengine - INFO - Epoch(train) [4][40/63] lr: 1.0000e-04 eta: 1 day, 2:06:31 time: 0.8847 data_time: 0.0293 memory: 25127 loss_text: 0.1282 loss_kernel: 0.0539 loss: 0.1820 2022/08/25 22:25:58 - mmengine - INFO - Epoch(train) [4][45/63] lr: 1.0000e-04 eta: 1 day, 2:06:31 time: 0.8812 data_time: 0.0264 memory: 25127 loss_text: 0.1145 loss_kernel: 0.0517 loss: 0.1662 2022/08/25 22:26:03 - mmengine - INFO - Epoch(train) [4][50/63] lr: 1.0000e-04 eta: 1 day, 1:22:46 time: 0.8478 data_time: 0.0306 memory: 25127 loss_text: 0.1260 loss_kernel: 0.0545 loss: 0.1805 2022/08/25 22:26:07 - mmengine - INFO - Epoch(train) [4][55/63] lr: 1.0000e-04 eta: 1 day, 1:22:46 time: 0.8557 data_time: 0.0256 memory: 25127 loss_text: 0.1344 loss_kernel: 0.0579 loss: 0.1923 2022/08/25 22:26:11 - mmengine - INFO - Epoch(train) [4][60/63] lr: 1.0000e-04 eta: 1 day, 0:43:07 time: 0.8708 data_time: 0.0226 memory: 25127 loss_text: 0.1200 loss_kernel: 0.0538 loss: 0.1738 2022/08/25 22:26:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:27:43 - mmengine - INFO - Epoch(train) [5][5/63] lr: 1.0000e-04 eta: 1 day, 0:43:07 time: 9.3090 data_time: 8.5173 memory: 25127 loss_text: 0.1384 loss_kernel: 0.0607 loss: 0.1991 2022/08/25 22:27:47 - mmengine - INFO - Epoch(train) [5][10/63] lr: 1.0000e-04 eta: 1 day, 3:11:52 time: 9.3315 data_time: 8.5322 memory: 25127 loss_text: 0.1357 loss_kernel: 0.0598 loss: 0.1955 2022/08/25 22:27:52 - mmengine - INFO - Epoch(train) [5][15/63] lr: 1.0000e-04 eta: 1 day, 3:11:52 time: 0.8951 data_time: 0.0334 memory: 25127 loss_text: 0.1176 loss_kernel: 0.0513 loss: 0.1689 2022/08/25 22:27:56 - mmengine - INFO - Epoch(train) [5][20/63] lr: 1.0000e-04 eta: 1 day, 2:32:06 time: 0.8977 data_time: 0.0287 memory: 25127 loss_text: 0.1148 loss_kernel: 0.0504 loss: 0.1653 2022/08/25 22:28:00 - mmengine - INFO - Epoch(train) [5][25/63] lr: 1.0000e-04 eta: 1 day, 2:32:06 time: 0.8432 data_time: 0.0253 memory: 25127 loss_text: 0.1122 loss_kernel: 0.0522 loss: 0.1644 2022/08/25 22:28:05 - mmengine - INFO - Epoch(train) [5][30/63] lr: 1.0000e-04 eta: 1 day, 1:55:15 time: 0.9030 data_time: 0.0258 memory: 25127 loss_text: 0.1184 loss_kernel: 0.0529 loss: 0.1712 2022/08/25 22:28:09 - mmengine - INFO - Epoch(train) [5][35/63] lr: 1.0000e-04 eta: 1 day, 1:55:15 time: 0.8859 data_time: 0.0285 memory: 25127 loss_text: 0.1217 loss_kernel: 0.0509 loss: 0.1726 2022/08/25 22:28:14 - mmengine - INFO - Epoch(train) [5][40/63] lr: 1.0000e-04 eta: 1 day, 1:20:52 time: 0.9009 data_time: 0.0252 memory: 25127 loss_text: 0.1155 loss_kernel: 0.0540 loss: 0.1694 2022/08/25 22:28:18 - mmengine - INFO - Epoch(train) [5][45/63] lr: 1.0000e-04 eta: 1 day, 1:20:52 time: 0.9155 data_time: 0.0343 memory: 25127 loss_text: 0.1146 loss_kernel: 0.0528 loss: 0.1674 2022/08/25 22:28:22 - mmengine - INFO - Epoch(train) [5][50/63] lr: 1.0000e-04 eta: 1 day, 0:47:51 time: 0.8567 data_time: 0.0278 memory: 25127 loss_text: 0.1153 loss_kernel: 0.0510 loss: 0.1663 2022/08/25 22:28:27 - mmengine - INFO - Epoch(train) [5][55/63] lr: 1.0000e-04 eta: 1 day, 0:47:51 time: 0.8781 data_time: 0.0228 memory: 25127 loss_text: 0.1216 loss_kernel: 0.0524 loss: 0.1740 2022/08/25 22:28:31 - mmengine - INFO - Epoch(train) [5][60/63] lr: 1.0000e-04 eta: 1 day, 0:17:54 time: 0.9048 data_time: 0.0293 memory: 25127 loss_text: 0.1285 loss_kernel: 0.0568 loss: 0.1853 2022/08/25 22:28:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:30:01 - mmengine - INFO - Epoch(train) [6][5/63] lr: 1.0000e-04 eta: 1 day, 0:17:54 time: 9.1474 data_time: 8.3147 memory: 25127 loss_text: 0.1194 loss_kernel: 0.0540 loss: 0.1734 2022/08/25 22:30:05 - mmengine - INFO - Epoch(train) [6][10/63] lr: 1.0000e-04 eta: 1 day, 2:15:12 time: 9.1638 data_time: 8.3176 memory: 25127 loss_text: 0.1265 loss_kernel: 0.0573 loss: 0.1838 2022/08/25 22:30:10 - mmengine - INFO - Epoch(train) [6][15/63] lr: 1.0000e-04 eta: 1 day, 2:15:12 time: 0.8539 data_time: 0.0333 memory: 25127 loss_text: 0.1241 loss_kernel: 0.0566 loss: 0.1807 2022/08/25 22:30:14 - mmengine - INFO - Epoch(train) [6][20/63] lr: 1.0000e-04 eta: 1 day, 1:43:27 time: 0.8407 data_time: 0.0343 memory: 25127 loss_text: 0.1023 loss_kernel: 0.0494 loss: 0.1517 2022/08/25 22:30:18 - mmengine - INFO - Epoch(train) [6][25/63] lr: 1.0000e-04 eta: 1 day, 1:43:27 time: 0.8366 data_time: 0.0264 memory: 25127 loss_text: 0.1011 loss_kernel: 0.0492 loss: 0.1504 2022/08/25 22:30:24 - mmengine - INFO - Epoch(train) [6][30/63] lr: 1.0000e-04 eta: 1 day, 1:17:02 time: 1.0350 data_time: 0.0582 memory: 25127 loss_text: 0.1025 loss_kernel: 0.0487 loss: 0.1512 2022/08/25 22:30:28 - mmengine - INFO - Epoch(train) [6][35/63] lr: 1.0000e-04 eta: 1 day, 1:17:02 time: 1.0331 data_time: 0.0658 memory: 25127 loss_text: 0.1163 loss_kernel: 0.0539 loss: 0.1702 2022/08/25 22:30:32 - mmengine - INFO - Epoch(train) [6][40/63] lr: 1.0000e-04 eta: 1 day, 0:48:44 time: 0.8435 data_time: 0.0315 memory: 25127 loss_text: 0.1229 loss_kernel: 0.0556 loss: 0.1785 2022/08/25 22:30:37 - mmengine - INFO - Epoch(train) [6][45/63] lr: 1.0000e-04 eta: 1 day, 0:48:44 time: 0.8415 data_time: 0.0278 memory: 25127 loss_text: 0.1069 loss_kernel: 0.0490 loss: 0.1559 2022/08/25 22:30:41 - mmengine - INFO - Epoch(train) [6][50/63] lr: 1.0000e-04 eta: 1 day, 0:22:39 time: 0.8829 data_time: 0.0242 memory: 25127 loss_text: 0.1045 loss_kernel: 0.0484 loss: 0.1529 2022/08/25 22:30:45 - mmengine - INFO - Epoch(train) [6][55/63] lr: 1.0000e-04 eta: 1 day, 0:22:39 time: 0.8640 data_time: 0.0254 memory: 25127 loss_text: 0.1080 loss_kernel: 0.0482 loss: 0.1562 2022/08/25 22:30:50 - mmengine - INFO - Epoch(train) [6][60/63] lr: 1.0000e-04 eta: 23:57:16 time: 0.8413 data_time: 0.0250 memory: 25127 loss_text: 0.1131 loss_kernel: 0.0509 loss: 0.1640 2022/08/25 22:30:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:32:21 - mmengine - INFO - Epoch(train) [7][5/63] lr: 1.0000e-04 eta: 23:57:16 time: 9.2717 data_time: 8.4358 memory: 25127 loss_text: 0.1301 loss_kernel: 0.0584 loss: 0.1885 2022/08/25 22:32:25 - mmengine - INFO - Epoch(train) [7][10/63] lr: 1.0000e-04 eta: 1 day, 1:37:56 time: 9.2912 data_time: 8.4493 memory: 25127 loss_text: 0.1229 loss_kernel: 0.0520 loss: 0.1748 2022/08/25 22:32:30 - mmengine - INFO - Epoch(train) [7][15/63] lr: 1.0000e-04 eta: 1 day, 1:37:56 time: 0.9017 data_time: 0.0399 memory: 25127 loss_text: 0.1267 loss_kernel: 0.0525 loss: 0.1792 2022/08/25 22:32:34 - mmengine - INFO - Epoch(train) [7][20/63] lr: 1.0000e-04 eta: 1 day, 1:12:44 time: 0.8829 data_time: 0.0363 memory: 25127 loss_text: 0.1235 loss_kernel: 0.0539 loss: 0.1774 2022/08/25 22:32:38 - mmengine - INFO - Epoch(train) [7][25/63] lr: 1.0000e-04 eta: 1 day, 1:12:44 time: 0.8359 data_time: 0.0324 memory: 25127 loss_text: 0.1140 loss_kernel: 0.0518 loss: 0.1658 2022/08/25 22:32:43 - mmengine - INFO - Epoch(train) [7][30/63] lr: 1.0000e-04 eta: 1 day, 0:49:02 time: 0.9018 data_time: 0.0309 memory: 25127 loss_text: 0.1072 loss_kernel: 0.0501 loss: 0.1573 2022/08/25 22:32:47 - mmengine - INFO - Epoch(train) [7][35/63] lr: 1.0000e-04 eta: 1 day, 0:49:02 time: 0.9148 data_time: 0.0395 memory: 25127 loss_text: 0.1007 loss_kernel: 0.0490 loss: 0.1497 2022/08/25 22:32:51 - mmengine - INFO - Epoch(train) [7][40/63] lr: 1.0000e-04 eta: 1 day, 0:25:47 time: 0.8562 data_time: 0.0270 memory: 25127 loss_text: 0.1147 loss_kernel: 0.0530 loss: 0.1678 2022/08/25 22:32:56 - mmengine - INFO - Epoch(train) [7][45/63] lr: 1.0000e-04 eta: 1 day, 0:25:47 time: 0.8546 data_time: 0.0277 memory: 25127 loss_text: 0.1314 loss_kernel: 0.0590 loss: 0.1904 2022/08/25 22:33:00 - mmengine - INFO - Epoch(train) [7][50/63] lr: 1.0000e-04 eta: 1 day, 0:03:30 time: 0.8493 data_time: 0.0302 memory: 25127 loss_text: 0.1174 loss_kernel: 0.0521 loss: 0.1696 2022/08/25 22:33:05 - mmengine - INFO - Epoch(train) [7][55/63] lr: 1.0000e-04 eta: 1 day, 0:03:30 time: 0.8932 data_time: 0.0250 memory: 25127 loss_text: 0.1081 loss_kernel: 0.0477 loss: 0.1558 2022/08/25 22:33:09 - mmengine - INFO - Epoch(train) [7][60/63] lr: 1.0000e-04 eta: 23:42:54 time: 0.8951 data_time: 0.0281 memory: 25127 loss_text: 0.1261 loss_kernel: 0.0530 loss: 0.1791 2022/08/25 22:33:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:34:40 - mmengine - INFO - Epoch(train) [8][5/63] lr: 1.0000e-04 eta: 23:42:54 time: 9.2286 data_time: 8.4559 memory: 25127 loss_text: 0.1123 loss_kernel: 0.0506 loss: 0.1628 2022/08/25 22:34:44 - mmengine - INFO - Epoch(train) [8][10/63] lr: 1.0000e-04 eta: 1 day, 1:09:09 time: 9.2553 data_time: 8.4621 memory: 25127 loss_text: 0.1089 loss_kernel: 0.0528 loss: 0.1616 2022/08/25 22:34:49 - mmengine - INFO - Epoch(train) [8][15/63] lr: 1.0000e-04 eta: 1 day, 1:09:09 time: 0.8917 data_time: 0.0753 memory: 25127 loss_text: 0.1233 loss_kernel: 0.0555 loss: 0.1788 2022/08/25 22:34:53 - mmengine - INFO - Epoch(train) [8][20/63] lr: 1.0000e-04 eta: 1 day, 0:48:10 time: 0.9008 data_time: 0.0742 memory: 25127 loss_text: 0.1157 loss_kernel: 0.0508 loss: 0.1664 2022/08/25 22:34:57 - mmengine - INFO - Epoch(train) [8][25/63] lr: 1.0000e-04 eta: 1 day, 0:48:10 time: 0.8301 data_time: 0.0257 memory: 25127 loss_text: 0.0995 loss_kernel: 0.0468 loss: 0.1463 2022/08/25 22:35:01 - mmengine - INFO - Epoch(train) [8][30/63] lr: 1.0000e-04 eta: 1 day, 0:27:06 time: 0.8263 data_time: 0.0251 memory: 25127 loss_text: 0.0990 loss_kernel: 0.0446 loss: 0.1436 2022/08/25 22:35:05 - mmengine - INFO - Epoch(train) [8][35/63] lr: 1.0000e-04 eta: 1 day, 0:27:06 time: 0.8507 data_time: 0.0297 memory: 25127 loss_text: 0.0930 loss_kernel: 0.0426 loss: 0.1356 2022/08/25 22:35:10 - mmengine - INFO - Epoch(train) [8][40/63] lr: 1.0000e-04 eta: 1 day, 0:07:20 time: 0.8600 data_time: 0.0257 memory: 25127 loss_text: 0.0955 loss_kernel: 0.0473 loss: 0.1428 2022/08/25 22:35:14 - mmengine - INFO - Epoch(train) [8][45/63] lr: 1.0000e-04 eta: 1 day, 0:07:20 time: 0.8441 data_time: 0.0232 memory: 25127 loss_text: 0.1108 loss_kernel: 0.0524 loss: 0.1632 2022/08/25 22:35:18 - mmengine - INFO - Epoch(train) [8][50/63] lr: 1.0000e-04 eta: 23:47:57 time: 0.8270 data_time: 0.0246 memory: 25127 loss_text: 0.1104 loss_kernel: 0.0494 loss: 0.1598 2022/08/25 22:35:22 - mmengine - INFO - Epoch(train) [8][55/63] lr: 1.0000e-04 eta: 23:47:57 time: 0.8406 data_time: 0.0255 memory: 25127 loss_text: 0.1013 loss_kernel: 0.0475 loss: 0.1488 2022/08/25 22:35:26 - mmengine - INFO - Epoch(train) [8][60/63] lr: 1.0000e-04 eta: 23:29:25 time: 0.8340 data_time: 0.0269 memory: 25127 loss_text: 0.0978 loss_kernel: 0.0469 loss: 0.1447 2022/08/25 22:35:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:36:56 - mmengine - INFO - Epoch(train) [9][5/63] lr: 1.0000e-04 eta: 23:29:25 time: 9.0832 data_time: 8.3170 memory: 25127 loss_text: 0.0980 loss_kernel: 0.0456 loss: 0.1436 2022/08/25 22:37:00 - mmengine - INFO - Epoch(train) [9][10/63] lr: 1.0000e-04 eta: 1 day, 0:43:55 time: 9.1501 data_time: 8.3379 memory: 25127 loss_text: 0.0980 loss_kernel: 0.0448 loss: 0.1429 2022/08/25 22:37:04 - mmengine - INFO - Epoch(train) [9][15/63] lr: 1.0000e-04 eta: 1 day, 0:43:55 time: 0.8477 data_time: 0.0331 memory: 25127 loss_text: 0.1011 loss_kernel: 0.0454 loss: 0.1465 2022/08/25 22:37:08 - mmengine - INFO - Epoch(train) [9][20/63] lr: 1.0000e-04 eta: 1 day, 0:25:17 time: 0.8494 data_time: 0.0306 memory: 25127 loss_text: 0.1037 loss_kernel: 0.0464 loss: 0.1501 2022/08/25 22:37:14 - mmengine - INFO - Epoch(train) [9][25/63] lr: 1.0000e-04 eta: 1 day, 0:25:17 time: 1.0208 data_time: 0.0438 memory: 25127 loss_text: 0.1090 loss_kernel: 0.0491 loss: 0.1581 2022/08/25 22:37:18 - mmengine - INFO - Epoch(train) [9][30/63] lr: 1.0000e-04 eta: 1 day, 0:09:04 time: 0.9975 data_time: 0.0263 memory: 25127 loss_text: 0.1049 loss_kernel: 0.0463 loss: 0.1512 2022/08/25 22:37:23 - mmengine - INFO - Epoch(train) [9][35/63] lr: 1.0000e-04 eta: 1 day, 0:09:04 time: 0.8371 data_time: 0.0338 memory: 25127 loss_text: 0.1016 loss_kernel: 0.0483 loss: 0.1499 2022/08/25 22:37:27 - mmengine - INFO - Epoch(train) [9][40/63] lr: 1.0000e-04 eta: 23:51:34 time: 0.8343 data_time: 0.0310 memory: 25127 loss_text: 0.1056 loss_kernel: 0.0504 loss: 0.1560 2022/08/25 22:37:33 - mmengine - INFO - Epoch(train) [9][45/63] lr: 1.0000e-04 eta: 23:51:34 time: 1.0233 data_time: 0.0347 memory: 25127 loss_text: 0.1029 loss_kernel: 0.0470 loss: 0.1498 2022/08/25 22:37:37 - mmengine - INFO - Epoch(train) [9][50/63] lr: 1.0000e-04 eta: 23:36:52 time: 1.0282 data_time: 0.0417 memory: 25127 loss_text: 0.1159 loss_kernel: 0.0530 loss: 0.1689 2022/08/25 22:37:41 - mmengine - INFO - Epoch(train) [9][55/63] lr: 1.0000e-04 eta: 23:36:52 time: 0.8326 data_time: 0.0261 memory: 25127 loss_text: 0.1169 loss_kernel: 0.0516 loss: 0.1685 2022/08/25 22:37:45 - mmengine - INFO - Epoch(train) [9][60/63] lr: 1.0000e-04 eta: 23:20:32 time: 0.8328 data_time: 0.0247 memory: 25127 loss_text: 0.1056 loss_kernel: 0.0469 loss: 0.1525 2022/08/25 22:37:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:39:15 - mmengine - INFO - Epoch(train) [10][5/63] lr: 1.0000e-04 eta: 23:20:32 time: 9.1326 data_time: 8.3343 memory: 25127 loss_text: 0.1125 loss_kernel: 0.0520 loss: 0.1646 2022/08/25 22:39:20 - mmengine - INFO - Epoch(train) [10][10/63] lr: 1.0000e-04 eta: 1 day, 0:27:34 time: 9.2134 data_time: 8.3559 memory: 25127 loss_text: 0.1016 loss_kernel: 0.0498 loss: 0.1514 2022/08/25 22:39:24 - mmengine - INFO - Epoch(train) [10][15/63] lr: 1.0000e-04 eta: 1 day, 0:27:34 time: 0.8893 data_time: 0.0378 memory: 25127 loss_text: 0.1052 loss_kernel: 0.0484 loss: 0.1537 2022/08/25 22:39:28 - mmengine - INFO - Epoch(train) [10][20/63] lr: 1.0000e-04 eta: 1 day, 0:11:14 time: 0.8570 data_time: 0.0230 memory: 25127 loss_text: 0.1011 loss_kernel: 0.0440 loss: 0.1451 2022/08/25 22:39:32 - mmengine - INFO - Epoch(train) [10][25/63] lr: 1.0000e-04 eta: 1 day, 0:11:14 time: 0.8390 data_time: 0.0313 memory: 25127 loss_text: 0.0956 loss_kernel: 0.0454 loss: 0.1410 2022/08/25 22:39:37 - mmengine - INFO - Epoch(train) [10][30/63] lr: 1.0000e-04 eta: 23:55:29 time: 0.8608 data_time: 0.0319 memory: 25127 loss_text: 0.0979 loss_kernel: 0.0468 loss: 0.1447 2022/08/25 22:39:41 - mmengine - INFO - Epoch(train) [10][35/63] lr: 1.0000e-04 eta: 23:55:29 time: 0.8694 data_time: 0.0292 memory: 25127 loss_text: 0.0949 loss_kernel: 0.0449 loss: 0.1398 2022/08/25 22:39:46 - mmengine - INFO - Epoch(train) [10][40/63] lr: 1.0000e-04 eta: 23:40:38 time: 0.8991 data_time: 0.0262 memory: 25127 loss_text: 0.0952 loss_kernel: 0.0451 loss: 0.1403 2022/08/25 22:39:50 - mmengine - INFO - Epoch(train) [10][45/63] lr: 1.0000e-04 eta: 23:40:38 time: 0.8917 data_time: 0.0303 memory: 25127 loss_text: 0.0956 loss_kernel: 0.0472 loss: 0.1429 2022/08/25 22:39:54 - mmengine - INFO - Epoch(train) [10][50/63] lr: 1.0000e-04 eta: 23:25:39 time: 0.8379 data_time: 0.0279 memory: 25127 loss_text: 0.1036 loss_kernel: 0.0510 loss: 0.1545 2022/08/25 22:39:58 - mmengine - INFO - Epoch(train) [10][55/63] lr: 1.0000e-04 eta: 23:25:39 time: 0.8387 data_time: 0.0268 memory: 25127 loss_text: 0.1079 loss_kernel: 0.0503 loss: 0.1582 2022/08/25 22:40:03 - mmengine - INFO - Epoch(train) [10][60/63] lr: 1.0000e-04 eta: 23:11:14 time: 0.8476 data_time: 0.0262 memory: 25127 loss_text: 0.1112 loss_kernel: 0.0498 loss: 0.1610 2022/08/25 22:40:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:41:32 - mmengine - INFO - Epoch(train) [11][5/63] lr: 1.0000e-04 eta: 23:11:14 time: 9.0861 data_time: 8.3078 memory: 25127 loss_text: 0.1027 loss_kernel: 0.0485 loss: 0.1513 2022/08/25 22:41:36 - mmengine - INFO - Epoch(train) [11][10/63] lr: 1.0000e-04 eta: 1 day, 0:10:51 time: 9.1310 data_time: 8.3166 memory: 25127 loss_text: 0.1109 loss_kernel: 0.0493 loss: 0.1602 2022/08/25 22:41:40 - mmengine - INFO - Epoch(train) [11][15/63] lr: 1.0000e-04 eta: 1 day, 0:10:51 time: 0.8513 data_time: 0.0310 memory: 25127 loss_text: 0.1033 loss_kernel: 0.0474 loss: 0.1507 2022/08/25 22:41:45 - mmengine - INFO - Epoch(train) [11][20/63] lr: 1.0000e-04 eta: 23:56:33 time: 0.8814 data_time: 0.0314 memory: 25127 loss_text: 0.0981 loss_kernel: 0.0461 loss: 0.1442 2022/08/25 22:41:49 - mmengine - INFO - Epoch(train) [11][25/63] lr: 1.0000e-04 eta: 23:56:33 time: 0.8626 data_time: 0.0306 memory: 25127 loss_text: 0.0939 loss_kernel: 0.0453 loss: 0.1392 2022/08/25 22:41:53 - mmengine - INFO - Epoch(train) [11][30/63] lr: 1.0000e-04 eta: 23:42:11 time: 0.8300 data_time: 0.0264 memory: 25127 loss_text: 0.0827 loss_kernel: 0.0417 loss: 0.1243 2022/08/25 22:41:58 - mmengine - INFO - Epoch(train) [11][35/63] lr: 1.0000e-04 eta: 23:42:11 time: 0.8414 data_time: 0.0327 memory: 25127 loss_text: 0.0901 loss_kernel: 0.0427 loss: 0.1328 2022/08/25 22:42:02 - mmengine - INFO - Epoch(train) [11][40/63] lr: 1.0000e-04 eta: 23:28:32 time: 0.8607 data_time: 0.0310 memory: 25127 loss_text: 0.0961 loss_kernel: 0.0448 loss: 0.1409 2022/08/25 22:42:06 - mmengine - INFO - Epoch(train) [11][45/63] lr: 1.0000e-04 eta: 23:28:32 time: 0.8563 data_time: 0.0307 memory: 25127 loss_text: 0.0936 loss_kernel: 0.0457 loss: 0.1393 2022/08/25 22:42:10 - mmengine - INFO - Epoch(train) [11][50/63] lr: 1.0000e-04 eta: 23:15:00 time: 0.8309 data_time: 0.0319 memory: 25127 loss_text: 0.1019 loss_kernel: 0.0468 loss: 0.1488 2022/08/25 22:42:14 - mmengine - INFO - Epoch(train) [11][55/63] lr: 1.0000e-04 eta: 23:15:00 time: 0.8278 data_time: 0.0306 memory: 25127 loss_text: 0.1069 loss_kernel: 0.0488 loss: 0.1557 2022/08/25 22:42:19 - mmengine - INFO - Epoch(train) [11][60/63] lr: 1.0000e-04 eta: 23:01:58 time: 0.8421 data_time: 0.0292 memory: 25127 loss_text: 0.1044 loss_kernel: 0.0477 loss: 0.1521 2022/08/25 22:42:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:43:48 - mmengine - INFO - Epoch(train) [12][5/63] lr: 1.0000e-04 eta: 23:01:58 time: 9.0955 data_time: 8.2968 memory: 25127 loss_text: 0.1066 loss_kernel: 0.0495 loss: 0.1560 2022/08/25 22:43:52 - mmengine - INFO - Epoch(train) [12][10/63] lr: 1.0000e-04 eta: 23:56:19 time: 9.1394 data_time: 8.3139 memory: 25127 loss_text: 0.0970 loss_kernel: 0.0437 loss: 0.1407 2022/08/25 22:43:56 - mmengine - INFO - Epoch(train) [12][15/63] lr: 1.0000e-04 eta: 23:56:19 time: 0.8239 data_time: 0.0340 memory: 25127 loss_text: 0.1082 loss_kernel: 0.0493 loss: 0.1575 2022/08/25 22:44:01 - mmengine - INFO - Epoch(train) [12][20/63] lr: 1.0000e-04 eta: 23:43:22 time: 0.8748 data_time: 0.0226 memory: 25127 loss_text: 0.1090 loss_kernel: 0.0496 loss: 0.1586 2022/08/25 22:44:05 - mmengine - INFO - Epoch(train) [12][25/63] lr: 1.0000e-04 eta: 23:43:22 time: 0.9051 data_time: 0.0391 memory: 25127 loss_text: 0.0950 loss_kernel: 0.0446 loss: 0.1395 2022/08/25 22:44:09 - mmengine - INFO - Epoch(train) [12][30/63] lr: 1.0000e-04 eta: 23:30:25 time: 0.8329 data_time: 0.0381 memory: 25127 loss_text: 0.0869 loss_kernel: 0.0449 loss: 0.1318 2022/08/25 22:44:14 - mmengine - INFO - Epoch(train) [12][35/63] lr: 1.0000e-04 eta: 23:30:25 time: 0.8709 data_time: 0.0292 memory: 25127 loss_text: 0.0909 loss_kernel: 0.0459 loss: 0.1369 2022/08/25 22:44:18 - mmengine - INFO - Epoch(train) [12][40/63] lr: 1.0000e-04 eta: 23:18:11 time: 0.8748 data_time: 0.0306 memory: 25127 loss_text: 0.0955 loss_kernel: 0.0465 loss: 0.1420 2022/08/25 22:44:22 - mmengine - INFO - Epoch(train) [12][45/63] lr: 1.0000e-04 eta: 23:18:11 time: 0.8416 data_time: 0.0420 memory: 25127 loss_text: 0.0977 loss_kernel: 0.0454 loss: 0.1431 2022/08/25 22:44:27 - mmengine - INFO - Epoch(train) [12][50/63] lr: 1.0000e-04 eta: 23:06:06 time: 0.8555 data_time: 0.0462 memory: 25127 loss_text: 0.0876 loss_kernel: 0.0409 loss: 0.1285 2022/08/25 22:44:32 - mmengine - INFO - Epoch(train) [12][55/63] lr: 1.0000e-04 eta: 23:06:06 time: 0.9772 data_time: 0.0280 memory: 25127 loss_text: 0.0815 loss_kernel: 0.0403 loss: 0.1219 2022/08/25 22:44:36 - mmengine - INFO - Epoch(train) [12][60/63] lr: 1.0000e-04 eta: 22:55:21 time: 0.9788 data_time: 0.0265 memory: 25127 loss_text: 0.0902 loss_kernel: 0.0426 loss: 0.1328 2022/08/25 22:44:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:46:09 - mmengine - INFO - Epoch(train) [13][5/63] lr: 1.0000e-04 eta: 22:55:21 time: 9.3711 data_time: 8.5707 memory: 25127 loss_text: 0.0993 loss_kernel: 0.0487 loss: 0.1480 2022/08/25 22:46:13 - mmengine - INFO - Epoch(train) [13][10/63] lr: 1.0000e-04 eta: 23:47:44 time: 9.4564 data_time: 8.6109 memory: 25127 loss_text: 0.0954 loss_kernel: 0.0469 loss: 0.1423 2022/08/25 22:46:18 - mmengine - INFO - Epoch(train) [13][15/63] lr: 1.0000e-04 eta: 23:47:44 time: 0.8836 data_time: 0.0505 memory: 25127 loss_text: 0.0955 loss_kernel: 0.0447 loss: 0.1401 2022/08/25 22:46:22 - mmengine - INFO - Epoch(train) [13][20/63] lr: 1.0000e-04 eta: 23:35:45 time: 0.8550 data_time: 0.0184 memory: 25127 loss_text: 0.0892 loss_kernel: 0.0419 loss: 0.1311 2022/08/25 22:46:26 - mmengine - INFO - Epoch(train) [13][25/63] lr: 1.0000e-04 eta: 23:35:45 time: 0.8621 data_time: 0.0354 memory: 25127 loss_text: 0.0873 loss_kernel: 0.0432 loss: 0.1305 2022/08/25 22:46:31 - mmengine - INFO - Epoch(train) [13][30/63] lr: 1.0000e-04 eta: 23:24:23 time: 0.8948 data_time: 0.0266 memory: 25127 loss_text: 0.0871 loss_kernel: 0.0440 loss: 0.1311 2022/08/25 22:46:35 - mmengine - INFO - Epoch(train) [13][35/63] lr: 1.0000e-04 eta: 23:24:23 time: 0.9276 data_time: 0.0241 memory: 25127 loss_text: 0.0870 loss_kernel: 0.0461 loss: 0.1331 2022/08/25 22:46:40 - mmengine - INFO - Epoch(train) [13][40/63] lr: 1.0000e-04 eta: 23:13:20 time: 0.8989 data_time: 0.0315 memory: 25127 loss_text: 0.0876 loss_kernel: 0.0452 loss: 0.1328 2022/08/25 22:46:44 - mmengine - INFO - Epoch(train) [13][45/63] lr: 1.0000e-04 eta: 23:13:20 time: 0.8737 data_time: 0.0296 memory: 25127 loss_text: 0.0929 loss_kernel: 0.0448 loss: 0.1377 2022/08/25 22:46:49 - mmengine - INFO - Epoch(train) [13][50/63] lr: 1.0000e-04 eta: 23:02:29 time: 0.8911 data_time: 0.0344 memory: 25127 loss_text: 0.0907 loss_kernel: 0.0446 loss: 0.1352 2022/08/25 22:46:53 - mmengine - INFO - Epoch(train) [13][55/63] lr: 1.0000e-04 eta: 23:02:29 time: 0.8857 data_time: 0.0265 memory: 25127 loss_text: 0.0866 loss_kernel: 0.0434 loss: 0.1300 2022/08/25 22:46:57 - mmengine - INFO - Epoch(train) [13][60/63] lr: 1.0000e-04 eta: 22:51:36 time: 0.8500 data_time: 0.0197 memory: 25127 loss_text: 0.0871 loss_kernel: 0.0429 loss: 0.1301 2022/08/25 22:46:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:48:26 - mmengine - INFO - Epoch(train) [14][5/63] lr: 1.0000e-04 eta: 22:51:36 time: 9.0356 data_time: 8.2592 memory: 25127 loss_text: 0.0881 loss_kernel: 0.0446 loss: 0.1326 2022/08/25 22:48:31 - mmengine - INFO - Epoch(train) [14][10/63] lr: 1.0000e-04 eta: 23:37:26 time: 9.1241 data_time: 8.2865 memory: 25127 loss_text: 0.0917 loss_kernel: 0.0439 loss: 0.1356 2022/08/25 22:48:35 - mmengine - INFO - Epoch(train) [14][15/63] lr: 1.0000e-04 eta: 23:37:26 time: 0.9067 data_time: 0.0367 memory: 25127 loss_text: 0.0880 loss_kernel: 0.0452 loss: 0.1332 2022/08/25 22:48:39 - mmengine - INFO - Epoch(train) [14][20/63] lr: 1.0000e-04 eta: 23:26:39 time: 0.8831 data_time: 0.0346 memory: 25127 loss_text: 0.0965 loss_kernel: 0.0485 loss: 0.1450 2022/08/25 22:48:44 - mmengine - INFO - Epoch(train) [14][25/63] lr: 1.0000e-04 eta: 23:26:39 time: 0.8756 data_time: 0.0394 memory: 25127 loss_text: 0.1026 loss_kernel: 0.0505 loss: 0.1531 2022/08/25 22:48:48 - mmengine - INFO - Epoch(train) [14][30/63] lr: 1.0000e-04 eta: 23:16:13 time: 0.8979 data_time: 0.0244 memory: 25127 loss_text: 0.0892 loss_kernel: 0.0472 loss: 0.1364 2022/08/25 22:48:53 - mmengine - INFO - Epoch(train) [14][35/63] lr: 1.0000e-04 eta: 23:16:13 time: 0.9045 data_time: 0.0370 memory: 25127 loss_text: 0.0849 loss_kernel: 0.0434 loss: 0.1283 2022/08/25 22:48:57 - mmengine - INFO - Epoch(train) [14][40/63] lr: 1.0000e-04 eta: 23:05:53 time: 0.8778 data_time: 0.0366 memory: 25127 loss_text: 0.0926 loss_kernel: 0.0445 loss: 0.1372 2022/08/25 22:49:02 - mmengine - INFO - Epoch(train) [14][45/63] lr: 1.0000e-04 eta: 23:05:53 time: 0.8695 data_time: 0.0302 memory: 25127 loss_text: 0.0896 loss_kernel: 0.0434 loss: 0.1330 2022/08/25 22:49:06 - mmengine - INFO - Epoch(train) [14][50/63] lr: 1.0000e-04 eta: 22:55:48 time: 0.8809 data_time: 0.0349 memory: 25127 loss_text: 0.0906 loss_kernel: 0.0426 loss: 0.1332 2022/08/25 22:49:10 - mmengine - INFO - Epoch(train) [14][55/63] lr: 1.0000e-04 eta: 22:55:48 time: 0.8562 data_time: 0.0314 memory: 25127 loss_text: 0.0961 loss_kernel: 0.0432 loss: 0.1393 2022/08/25 22:49:14 - mmengine - INFO - Epoch(train) [14][60/63] lr: 1.0000e-04 eta: 22:45:38 time: 0.8355 data_time: 0.0226 memory: 25127 loss_text: 0.0880 loss_kernel: 0.0404 loss: 0.1284 2022/08/25 22:49:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:50:49 - mmengine - INFO - Epoch(train) [15][5/63] lr: 1.0000e-04 eta: 22:45:38 time: 9.6085 data_time: 8.7388 memory: 25127 loss_text: 0.1000 loss_kernel: 0.0464 loss: 0.1464 2022/08/25 22:50:53 - mmengine - INFO - Epoch(train) [15][10/63] lr: 1.0000e-04 eta: 23:32:00 time: 9.6793 data_time: 8.7902 memory: 25127 loss_text: 0.0821 loss_kernel: 0.0413 loss: 0.1234 2022/08/25 22:50:57 - mmengine - INFO - Epoch(train) [15][15/63] lr: 1.0000e-04 eta: 23:32:00 time: 0.8532 data_time: 0.0620 memory: 25127 loss_text: 0.0749 loss_kernel: 0.0408 loss: 0.1157 2022/08/25 22:51:02 - mmengine - INFO - Epoch(train) [15][20/63] lr: 1.0000e-04 eta: 23:21:37 time: 0.8292 data_time: 0.0237 memory: 25127 loss_text: 0.0789 loss_kernel: 0.0411 loss: 0.1200 2022/08/25 22:51:06 - mmengine - INFO - Epoch(train) [15][25/63] lr: 1.0000e-04 eta: 23:21:37 time: 0.8433 data_time: 0.0334 memory: 25127 loss_text: 0.0858 loss_kernel: 0.0428 loss: 0.1286 2022/08/25 22:51:10 - mmengine - INFO - Epoch(train) [15][30/63] lr: 1.0000e-04 eta: 23:11:26 time: 0.8240 data_time: 0.0325 memory: 25127 loss_text: 0.0886 loss_kernel: 0.0439 loss: 0.1325 2022/08/25 22:51:16 - mmengine - INFO - Epoch(train) [15][35/63] lr: 1.0000e-04 eta: 23:11:26 time: 1.0048 data_time: 0.0345 memory: 25127 loss_text: 0.0909 loss_kernel: 0.0443 loss: 0.1352 2022/08/25 22:51:20 - mmengine - INFO - Epoch(train) [15][40/63] lr: 1.0000e-04 eta: 23:02:46 time: 1.0205 data_time: 0.0345 memory: 25127 loss_text: 0.0912 loss_kernel: 0.0425 loss: 0.1337 2022/08/25 22:51:26 - mmengine - INFO - Epoch(train) [15][45/63] lr: 1.0000e-04 eta: 23:02:46 time: 0.9680 data_time: 0.1684 memory: 25127 loss_text: 0.0898 loss_kernel: 0.0437 loss: 0.1336 2022/08/25 22:51:30 - mmengine - INFO - Epoch(train) [15][50/63] lr: 1.0000e-04 eta: 22:53:50 time: 0.9528 data_time: 0.1694 memory: 25127 loss_text: 0.0905 loss_kernel: 0.0441 loss: 0.1346 2022/08/25 22:51:34 - mmengine - INFO - Epoch(train) [15][55/63] lr: 1.0000e-04 eta: 22:53:50 time: 0.8850 data_time: 0.0363 memory: 25127 loss_text: 0.0920 loss_kernel: 0.0446 loss: 0.1365 2022/08/25 22:51:39 - mmengine - INFO - Epoch(train) [15][60/63] lr: 1.0000e-04 eta: 22:44:39 time: 0.8836 data_time: 0.0310 memory: 25127 loss_text: 0.0982 loss_kernel: 0.0460 loss: 0.1442 2022/08/25 22:51:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:53:09 - mmengine - INFO - Epoch(train) [16][5/63] lr: 1.0000e-04 eta: 22:44:39 time: 9.1629 data_time: 8.3575 memory: 25127 loss_text: 0.1003 loss_kernel: 0.0435 loss: 0.1438 2022/08/25 22:53:13 - mmengine - INFO - Epoch(train) [16][10/63] lr: 1.0000e-04 eta: 23:24:52 time: 9.2176 data_time: 8.3766 memory: 25127 loss_text: 0.0935 loss_kernel: 0.0420 loss: 0.1356 2022/08/25 22:53:17 - mmengine - INFO - Epoch(train) [16][15/63] lr: 1.0000e-04 eta: 23:24:52 time: 0.8678 data_time: 0.0340 memory: 25127 loss_text: 0.0952 loss_kernel: 0.0406 loss: 0.1358 2022/08/25 22:53:22 - mmengine - INFO - Epoch(train) [16][20/63] lr: 1.0000e-04 eta: 23:15:33 time: 0.8827 data_time: 0.0506 memory: 25127 loss_text: 0.0941 loss_kernel: 0.0433 loss: 0.1374 2022/08/25 22:53:26 - mmengine - INFO - Epoch(train) [16][25/63] lr: 1.0000e-04 eta: 23:15:33 time: 0.8943 data_time: 0.0732 memory: 25127 loss_text: 0.0927 loss_kernel: 0.0444 loss: 0.1371 2022/08/25 22:53:30 - mmengine - INFO - Epoch(train) [16][30/63] lr: 1.0000e-04 eta: 23:06:16 time: 0.8593 data_time: 0.0379 memory: 25127 loss_text: 0.0912 loss_kernel: 0.0442 loss: 0.1354 2022/08/25 22:53:35 - mmengine - INFO - Epoch(train) [16][35/63] lr: 1.0000e-04 eta: 23:06:16 time: 0.8454 data_time: 0.0256 memory: 25127 loss_text: 0.0947 loss_kernel: 0.0431 loss: 0.1378 2022/08/25 22:53:39 - mmengine - INFO - Epoch(train) [16][40/63] lr: 1.0000e-04 eta: 22:57:17 time: 0.8756 data_time: 0.0376 memory: 25127 loss_text: 0.0891 loss_kernel: 0.0423 loss: 0.1314 2022/08/25 22:53:43 - mmengine - INFO - Epoch(train) [16][45/63] lr: 1.0000e-04 eta: 22:57:17 time: 0.8616 data_time: 0.0364 memory: 25127 loss_text: 0.0846 loss_kernel: 0.0425 loss: 0.1271 2022/08/25 22:53:47 - mmengine - INFO - Epoch(train) [16][50/63] lr: 1.0000e-04 eta: 22:48:06 time: 0.8173 data_time: 0.0315 memory: 25127 loss_text: 0.0949 loss_kernel: 0.0457 loss: 0.1406 2022/08/25 22:53:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:53:52 - mmengine - INFO - Epoch(train) [16][55/63] lr: 1.0000e-04 eta: 22:48:06 time: 0.8652 data_time: 0.0370 memory: 25127 loss_text: 0.0966 loss_kernel: 0.0475 loss: 0.1440 2022/08/25 22:53:56 - mmengine - INFO - Epoch(train) [16][60/63] lr: 1.0000e-04 eta: 22:39:28 time: 0.8755 data_time: 0.0306 memory: 25127 loss_text: 0.0993 loss_kernel: 0.0450 loss: 0.1443 2022/08/25 22:53:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:55:27 - mmengine - INFO - Epoch(train) [17][5/63] lr: 1.0000e-04 eta: 22:39:28 time: 9.2343 data_time: 8.4579 memory: 25127 loss_text: 0.1055 loss_kernel: 0.0505 loss: 0.1559 2022/08/25 22:55:32 - mmengine - INFO - Epoch(train) [17][10/63] lr: 1.0000e-04 eta: 23:18:02 time: 9.3668 data_time: 8.5431 memory: 25127 loss_text: 0.1025 loss_kernel: 0.0481 loss: 0.1506 2022/08/25 22:55:37 - mmengine - INFO - Epoch(train) [17][15/63] lr: 1.0000e-04 eta: 23:18:02 time: 0.9539 data_time: 0.1171 memory: 25127 loss_text: 0.0909 loss_kernel: 0.0440 loss: 0.1349 2022/08/25 22:55:41 - mmengine - INFO - Epoch(train) [17][20/63] lr: 1.0000e-04 eta: 23:09:24 time: 0.8958 data_time: 0.0436 memory: 25127 loss_text: 0.0917 loss_kernel: 0.0427 loss: 0.1344 2022/08/25 22:55:45 - mmengine - INFO - Epoch(train) [17][25/63] lr: 1.0000e-04 eta: 23:09:24 time: 0.8588 data_time: 0.0453 memory: 25127 loss_text: 0.0946 loss_kernel: 0.0421 loss: 0.1367 2022/08/25 22:55:50 - mmengine - INFO - Epoch(train) [17][30/63] lr: 1.0000e-04 eta: 23:00:46 time: 0.8692 data_time: 0.0379 memory: 25127 loss_text: 0.0898 loss_kernel: 0.0448 loss: 0.1346 2022/08/25 22:55:54 - mmengine - INFO - Epoch(train) [17][35/63] lr: 1.0000e-04 eta: 23:00:46 time: 0.8708 data_time: 0.0262 memory: 25127 loss_text: 0.0948 loss_kernel: 0.0459 loss: 0.1407 2022/08/25 22:55:59 - mmengine - INFO - Epoch(train) [17][40/63] lr: 1.0000e-04 eta: 22:52:40 time: 0.9317 data_time: 0.0343 memory: 25127 loss_text: 0.0958 loss_kernel: 0.0442 loss: 0.1400 2022/08/25 22:56:03 - mmengine - INFO - Epoch(train) [17][45/63] lr: 1.0000e-04 eta: 22:52:40 time: 0.9247 data_time: 0.0410 memory: 25127 loss_text: 0.0984 loss_kernel: 0.0483 loss: 0.1467 2022/08/25 22:56:07 - mmengine - INFO - Epoch(train) [17][50/63] lr: 1.0000e-04 eta: 22:44:12 time: 0.8412 data_time: 0.0347 memory: 25127 loss_text: 0.0964 loss_kernel: 0.0475 loss: 0.1440 2022/08/25 22:56:12 - mmengine - INFO - Epoch(train) [17][55/63] lr: 1.0000e-04 eta: 22:44:12 time: 0.8438 data_time: 0.0288 memory: 25127 loss_text: 0.0795 loss_kernel: 0.0386 loss: 0.1180 2022/08/25 22:56:16 - mmengine - INFO - Epoch(train) [17][60/63] lr: 1.0000e-04 eta: 22:35:58 time: 0.8564 data_time: 0.0337 memory: 25127 loss_text: 0.0764 loss_kernel: 0.0391 loss: 0.1155 2022/08/25 22:56:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 22:57:46 - mmengine - INFO - Epoch(train) [18][5/63] lr: 1.0000e-04 eta: 22:35:58 time: 9.1928 data_time: 8.3818 memory: 25127 loss_text: 0.0797 loss_kernel: 0.0399 loss: 0.1197 2022/08/25 22:57:50 - mmengine - INFO - Epoch(train) [18][10/63] lr: 1.0000e-04 eta: 23:11:23 time: 9.2196 data_time: 8.3937 memory: 25127 loss_text: 0.0763 loss_kernel: 0.0412 loss: 0.1175 2022/08/25 22:57:55 - mmengine - INFO - Epoch(train) [18][15/63] lr: 1.0000e-04 eta: 23:11:23 time: 0.8330 data_time: 0.0435 memory: 25127 loss_text: 0.0749 loss_kernel: 0.0405 loss: 0.1154 2022/08/25 22:57:59 - mmengine - INFO - Epoch(train) [18][20/63] lr: 1.0000e-04 eta: 23:02:56 time: 0.8353 data_time: 0.0479 memory: 25127 loss_text: 0.0813 loss_kernel: 0.0419 loss: 0.1231 2022/08/25 22:58:04 - mmengine - INFO - Epoch(train) [18][25/63] lr: 1.0000e-04 eta: 23:02:56 time: 0.9545 data_time: 0.0468 memory: 25127 loss_text: 0.0799 loss_kernel: 0.0426 loss: 0.1225 2022/08/25 22:58:08 - mmengine - INFO - Epoch(train) [18][30/63] lr: 1.0000e-04 eta: 22:55:22 time: 0.9673 data_time: 0.0344 memory: 25127 loss_text: 0.0761 loss_kernel: 0.0400 loss: 0.1160 2022/08/25 22:58:13 - mmengine - INFO - Epoch(train) [18][35/63] lr: 1.0000e-04 eta: 22:55:22 time: 0.8793 data_time: 0.0287 memory: 25127 loss_text: 0.0787 loss_kernel: 0.0398 loss: 0.1185 2022/08/25 22:58:17 - mmengine - INFO - Epoch(train) [18][40/63] lr: 1.0000e-04 eta: 22:47:22 time: 0.8621 data_time: 0.0282 memory: 25127 loss_text: 0.0853 loss_kernel: 0.0431 loss: 0.1284 2022/08/25 22:58:21 - mmengine - INFO - Epoch(train) [18][45/63] lr: 1.0000e-04 eta: 22:47:22 time: 0.8476 data_time: 0.0279 memory: 25127 loss_text: 0.0852 loss_kernel: 0.0445 loss: 0.1297 2022/08/25 22:58:26 - mmengine - INFO - Epoch(train) [18][50/63] lr: 1.0000e-04 eta: 22:39:28 time: 0.8547 data_time: 0.0270 memory: 25127 loss_text: 0.0867 loss_kernel: 0.0446 loss: 0.1313 2022/08/25 22:58:30 - mmengine - INFO - Epoch(train) [18][55/63] lr: 1.0000e-04 eta: 22:39:28 time: 0.8699 data_time: 0.0299 memory: 25127 loss_text: 0.0990 loss_kernel: 0.0476 loss: 0.1466 2022/08/25 22:58:34 - mmengine - INFO - Epoch(train) [18][60/63] lr: 1.0000e-04 eta: 22:31:44 time: 0.8620 data_time: 0.0303 memory: 25127 loss_text: 0.0855 loss_kernel: 0.0415 loss: 0.1269 2022/08/25 22:58:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:00:04 - mmengine - INFO - Epoch(train) [19][5/63] lr: 1.0000e-04 eta: 22:31:44 time: 9.1435 data_time: 8.3395 memory: 25127 loss_text: 0.0851 loss_kernel: 0.0438 loss: 0.1289 2022/08/25 23:00:09 - mmengine - INFO - Epoch(train) [19][10/63] lr: 1.0000e-04 eta: 23:05:03 time: 9.2053 data_time: 8.3469 memory: 25127 loss_text: 0.0843 loss_kernel: 0.0435 loss: 0.1278 2022/08/25 23:00:13 - mmengine - INFO - Epoch(train) [19][15/63] lr: 1.0000e-04 eta: 23:05:03 time: 0.8605 data_time: 0.0306 memory: 25127 loss_text: 0.0875 loss_kernel: 0.0447 loss: 0.1322 2022/08/25 23:00:17 - mmengine - INFO - Epoch(train) [19][20/63] lr: 1.0000e-04 eta: 22:57:09 time: 0.8436 data_time: 0.0258 memory: 25127 loss_text: 0.0887 loss_kernel: 0.0424 loss: 0.1311 2022/08/25 23:00:21 - mmengine - INFO - Epoch(train) [19][25/63] lr: 1.0000e-04 eta: 22:57:09 time: 0.8408 data_time: 0.0296 memory: 25127 loss_text: 0.0851 loss_kernel: 0.0417 loss: 0.1268 2022/08/25 23:00:27 - mmengine - INFO - Epoch(train) [19][30/63] lr: 1.0000e-04 eta: 22:50:08 time: 0.9914 data_time: 0.0292 memory: 25127 loss_text: 0.0827 loss_kernel: 0.0425 loss: 0.1251 2022/08/25 23:00:31 - mmengine - INFO - Epoch(train) [19][35/63] lr: 1.0000e-04 eta: 22:50:08 time: 0.9840 data_time: 0.0356 memory: 25127 loss_text: 0.0742 loss_kernel: 0.0372 loss: 0.1114 2022/08/25 23:00:35 - mmengine - INFO - Epoch(train) [19][40/63] lr: 1.0000e-04 eta: 22:42:21 time: 0.8179 data_time: 0.0304 memory: 25127 loss_text: 0.0875 loss_kernel: 0.0418 loss: 0.1293 2022/08/25 23:00:39 - mmengine - INFO - Epoch(train) [19][45/63] lr: 1.0000e-04 eta: 22:42:21 time: 0.8276 data_time: 0.0209 memory: 25127 loss_text: 0.0948 loss_kernel: 0.0463 loss: 0.1411 2022/08/25 23:00:44 - mmengine - INFO - Epoch(train) [19][50/63] lr: 1.0000e-04 eta: 22:35:00 time: 0.8791 data_time: 0.0326 memory: 25127 loss_text: 0.0790 loss_kernel: 0.0411 loss: 0.1201 2022/08/25 23:00:48 - mmengine - INFO - Epoch(train) [19][55/63] lr: 1.0000e-04 eta: 22:35:00 time: 0.8515 data_time: 0.0321 memory: 25127 loss_text: 0.0745 loss_kernel: 0.0381 loss: 0.1127 2022/08/25 23:00:52 - mmengine - INFO - Epoch(train) [19][60/63] lr: 1.0000e-04 eta: 22:27:41 time: 0.8602 data_time: 0.0235 memory: 25127 loss_text: 0.0802 loss_kernel: 0.0392 loss: 0.1194 2022/08/25 23:00:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:02:23 - mmengine - INFO - Epoch(train) [20][5/63] lr: 1.0000e-04 eta: 22:27:41 time: 9.2147 data_time: 8.3808 memory: 25127 loss_text: 0.0913 loss_kernel: 0.0444 loss: 0.1357 2022/08/25 23:02:27 - mmengine - INFO - Epoch(train) [20][10/63] lr: 1.0000e-04 eta: 22:59:21 time: 9.2319 data_time: 8.4126 memory: 25127 loss_text: 0.0850 loss_kernel: 0.0423 loss: 0.1272 2022/08/25 23:02:32 - mmengine - INFO - Epoch(train) [20][15/63] lr: 1.0000e-04 eta: 22:59:21 time: 0.9359 data_time: 0.0450 memory: 25127 loss_text: 0.0871 loss_kernel: 0.0434 loss: 0.1306 2022/08/25 23:02:36 - mmengine - INFO - Epoch(train) [20][20/63] lr: 1.0000e-04 eta: 22:52:15 time: 0.9211 data_time: 0.0301 memory: 25127 loss_text: 0.0812 loss_kernel: 0.0406 loss: 0.1218 2022/08/25 23:02:40 - mmengine - INFO - Epoch(train) [20][25/63] lr: 1.0000e-04 eta: 22:52:15 time: 0.8477 data_time: 0.0404 memory: 25127 loss_text: 0.0846 loss_kernel: 0.0418 loss: 0.1263 2022/08/25 23:02:45 - mmengine - INFO - Epoch(train) [20][30/63] lr: 1.0000e-04 eta: 22:44:59 time: 0.8643 data_time: 0.0248 memory: 25127 loss_text: 0.0790 loss_kernel: 0.0407 loss: 0.1197 2022/08/25 23:02:49 - mmengine - INFO - Epoch(train) [20][35/63] lr: 1.0000e-04 eta: 22:44:59 time: 0.8729 data_time: 0.0259 memory: 25127 loss_text: 0.0746 loss_kernel: 0.0378 loss: 0.1124 2022/08/25 23:02:54 - mmengine - INFO - Epoch(train) [20][40/63] lr: 1.0000e-04 eta: 22:37:53 time: 0.8715 data_time: 0.0291 memory: 25127 loss_text: 0.0814 loss_kernel: 0.0384 loss: 0.1199 2022/08/25 23:02:58 - mmengine - INFO - Epoch(train) [20][45/63] lr: 1.0000e-04 eta: 22:37:53 time: 0.8756 data_time: 0.0271 memory: 25127 loss_text: 0.0808 loss_kernel: 0.0397 loss: 0.1205 2022/08/25 23:03:03 - mmengine - INFO - Epoch(train) [20][50/63] lr: 1.0000e-04 eta: 22:31:19 time: 0.9626 data_time: 0.0326 memory: 25127 loss_text: 0.0754 loss_kernel: 0.0391 loss: 0.1146 2022/08/25 23:03:07 - mmengine - INFO - Epoch(train) [20][55/63] lr: 1.0000e-04 eta: 22:31:19 time: 0.9559 data_time: 0.0277 memory: 25127 loss_text: 0.0814 loss_kernel: 0.0432 loss: 0.1245 2022/08/25 23:03:12 - mmengine - INFO - Epoch(train) [20][60/63] lr: 1.0000e-04 eta: 22:24:22 time: 0.8573 data_time: 0.0209 memory: 25127 loss_text: 0.0862 loss_kernel: 0.0447 loss: 0.1309 2022/08/25 23:03:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:03:14 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/25 23:04:50 - mmengine - INFO - Epoch(train) [21][5/63] lr: 1.0000e-04 eta: 22:24:22 time: 9.0578 data_time: 8.2228 memory: 25127 loss_text: 0.0831 loss_kernel: 0.0390 loss: 0.1221 2022/08/25 23:04:54 - mmengine - INFO - Epoch(train) [21][10/63] lr: 1.0000e-04 eta: 22:53:40 time: 9.0817 data_time: 8.2446 memory: 25127 loss_text: 0.0942 loss_kernel: 0.0429 loss: 0.1371 2022/08/25 23:04:59 - mmengine - INFO - Epoch(train) [21][15/63] lr: 1.0000e-04 eta: 22:53:40 time: 0.8545 data_time: 0.0363 memory: 25127 loss_text: 0.1025 loss_kernel: 0.0466 loss: 0.1491 2022/08/25 23:05:03 - mmengine - INFO - Epoch(train) [21][20/63] lr: 1.0000e-04 eta: 22:46:49 time: 0.8943 data_time: 0.0287 memory: 25127 loss_text: 0.0996 loss_kernel: 0.0471 loss: 0.1467 2022/08/25 23:05:08 - mmengine - INFO - Epoch(train) [21][25/63] lr: 1.0000e-04 eta: 22:46:49 time: 0.9015 data_time: 0.0337 memory: 25127 loss_text: 0.0923 loss_kernel: 0.0455 loss: 0.1378 2022/08/25 23:05:12 - mmengine - INFO - Epoch(train) [21][30/63] lr: 1.0000e-04 eta: 22:39:53 time: 0.8575 data_time: 0.0300 memory: 25127 loss_text: 0.0782 loss_kernel: 0.0403 loss: 0.1185 2022/08/25 23:05:16 - mmengine - INFO - Epoch(train) [21][35/63] lr: 1.0000e-04 eta: 22:39:53 time: 0.8612 data_time: 0.0262 memory: 25127 loss_text: 0.0741 loss_kernel: 0.0390 loss: 0.1131 2022/08/25 23:05:21 - mmengine - INFO - Epoch(train) [21][40/63] lr: 1.0000e-04 eta: 22:33:08 time: 0.8701 data_time: 0.0255 memory: 25127 loss_text: 0.0786 loss_kernel: 0.0406 loss: 0.1192 2022/08/25 23:05:25 - mmengine - INFO - Epoch(train) [21][45/63] lr: 1.0000e-04 eta: 22:33:08 time: 0.8740 data_time: 0.0268 memory: 25127 loss_text: 0.0846 loss_kernel: 0.0437 loss: 0.1282 2022/08/25 23:05:29 - mmengine - INFO - Epoch(train) [21][50/63] lr: 1.0000e-04 eta: 22:26:31 time: 0.8805 data_time: 0.0295 memory: 25127 loss_text: 0.0944 loss_kernel: 0.0419 loss: 0.1363 2022/08/25 23:05:34 - mmengine - INFO - Epoch(train) [21][55/63] lr: 1.0000e-04 eta: 22:26:31 time: 0.8861 data_time: 0.0300 memory: 25127 loss_text: 0.0990 loss_kernel: 0.0431 loss: 0.1421 2022/08/25 23:05:38 - mmengine - INFO - Epoch(train) [21][60/63] lr: 1.0000e-04 eta: 22:19:55 time: 0.8596 data_time: 0.0237 memory: 25127 loss_text: 0.0951 loss_kernel: 0.0455 loss: 0.1406 2022/08/25 23:05:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:07:08 - mmengine - INFO - Epoch(train) [22][5/63] lr: 1.0000e-04 eta: 22:19:55 time: 9.0920 data_time: 8.2834 memory: 25127 loss_text: 0.0762 loss_kernel: 0.0379 loss: 0.1141 2022/08/25 23:07:12 - mmengine - INFO - Epoch(train) [22][10/63] lr: 1.0000e-04 eta: 22:47:55 time: 9.1118 data_time: 8.2890 memory: 25127 loss_text: 0.0738 loss_kernel: 0.0382 loss: 0.1121 2022/08/25 23:07:16 - mmengine - INFO - Epoch(train) [22][15/63] lr: 1.0000e-04 eta: 22:47:55 time: 0.8551 data_time: 0.0283 memory: 25127 loss_text: 0.0775 loss_kernel: 0.0393 loss: 0.1168 2022/08/25 23:07:20 - mmengine - INFO - Epoch(train) [22][20/63] lr: 1.0000e-04 eta: 22:41:19 time: 0.8735 data_time: 0.0431 memory: 25127 loss_text: 0.0769 loss_kernel: 0.0388 loss: 0.1157 2022/08/25 23:07:25 - mmengine - INFO - Epoch(train) [22][25/63] lr: 1.0000e-04 eta: 22:41:19 time: 0.8691 data_time: 0.0409 memory: 25127 loss_text: 0.0848 loss_kernel: 0.0431 loss: 0.1279 2022/08/25 23:07:29 - mmengine - INFO - Epoch(train) [22][30/63] lr: 1.0000e-04 eta: 22:34:43 time: 0.8548 data_time: 0.0245 memory: 25127 loss_text: 0.0828 loss_kernel: 0.0423 loss: 0.1251 2022/08/25 23:07:34 - mmengine - INFO - Epoch(train) [22][35/63] lr: 1.0000e-04 eta: 22:34:43 time: 0.9164 data_time: 0.0414 memory: 25127 loss_text: 0.0738 loss_kernel: 0.0382 loss: 0.1120 2022/08/25 23:07:38 - mmengine - INFO - Epoch(train) [22][40/63] lr: 1.0000e-04 eta: 22:28:27 time: 0.9072 data_time: 0.0408 memory: 25127 loss_text: 0.0737 loss_kernel: 0.0391 loss: 0.1129 2022/08/25 23:07:42 - mmengine - INFO - Epoch(train) [22][45/63] lr: 1.0000e-04 eta: 22:28:27 time: 0.8476 data_time: 0.0239 memory: 25127 loss_text: 0.0710 loss_kernel: 0.0382 loss: 0.1092 2022/08/25 23:07:47 - mmengine - INFO - Epoch(train) [22][50/63] lr: 1.0000e-04 eta: 22:22:02 time: 0.8532 data_time: 0.0253 memory: 25127 loss_text: 0.0763 loss_kernel: 0.0381 loss: 0.1144 2022/08/25 23:07:51 - mmengine - INFO - Epoch(train) [22][55/63] lr: 1.0000e-04 eta: 22:22:02 time: 0.8387 data_time: 0.0333 memory: 25127 loss_text: 0.0781 loss_kernel: 0.0391 loss: 0.1172 2022/08/25 23:07:56 - mmengine - INFO - Epoch(train) [22][60/63] lr: 1.0000e-04 eta: 22:16:02 time: 0.9282 data_time: 0.0284 memory: 25127 loss_text: 0.0762 loss_kernel: 0.0396 loss: 0.1158 2022/08/25 23:07:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:09:26 - mmengine - INFO - Epoch(train) [23][5/63] lr: 1.0000e-04 eta: 22:16:02 time: 9.1553 data_time: 8.3561 memory: 25127 loss_text: 0.0689 loss_kernel: 0.0369 loss: 0.1058 2022/08/25 23:09:30 - mmengine - INFO - Epoch(train) [23][10/63] lr: 1.0000e-04 eta: 22:43:10 time: 9.2126 data_time: 8.3708 memory: 25127 loss_text: 0.0738 loss_kernel: 0.0381 loss: 0.1118 2022/08/25 23:09:36 - mmengine - INFO - Epoch(train) [23][15/63] lr: 1.0000e-04 eta: 22:43:10 time: 0.9712 data_time: 0.0335 memory: 25127 loss_text: 0.0741 loss_kernel: 0.0387 loss: 0.1128 2022/08/25 23:09:40 - mmengine - INFO - Epoch(train) [23][20/63] lr: 1.0000e-04 eta: 22:37:14 time: 0.9585 data_time: 0.0305 memory: 25127 loss_text: 0.0663 loss_kernel: 0.0350 loss: 0.1013 2022/08/25 23:09:44 - mmengine - INFO - Epoch(train) [23][25/63] lr: 1.0000e-04 eta: 22:37:14 time: 0.8477 data_time: 0.0319 memory: 25127 loss_text: 0.0681 loss_kernel: 0.0367 loss: 0.1048 2022/08/25 23:09:48 - mmengine - INFO - Epoch(train) [23][30/63] lr: 1.0000e-04 eta: 22:30:54 time: 0.8471 data_time: 0.0268 memory: 25127 loss_text: 0.0730 loss_kernel: 0.0393 loss: 0.1122 2022/08/25 23:09:53 - mmengine - INFO - Epoch(train) [23][35/63] lr: 1.0000e-04 eta: 22:30:54 time: 0.9045 data_time: 0.0344 memory: 25127 loss_text: 0.0795 loss_kernel: 0.0404 loss: 0.1199 2022/08/25 23:09:57 - mmengine - INFO - Epoch(train) [23][40/63] lr: 1.0000e-04 eta: 22:24:57 time: 0.9132 data_time: 0.0347 memory: 25127 loss_text: 0.0772 loss_kernel: 0.0390 loss: 0.1162 2022/08/25 23:10:02 - mmengine - INFO - Epoch(train) [23][45/63] lr: 1.0000e-04 eta: 22:24:57 time: 0.8755 data_time: 0.0356 memory: 25127 loss_text: 0.0674 loss_kernel: 0.0355 loss: 0.1029 2022/08/25 23:10:06 - mmengine - INFO - Epoch(train) [23][50/63] lr: 1.0000e-04 eta: 22:18:51 time: 0.8606 data_time: 0.0311 memory: 25127 loss_text: 0.0764 loss_kernel: 0.0404 loss: 0.1167 2022/08/25 23:10:10 - mmengine - INFO - Epoch(train) [23][55/63] lr: 1.0000e-04 eta: 22:18:51 time: 0.8593 data_time: 0.0272 memory: 25127 loss_text: 0.0885 loss_kernel: 0.0436 loss: 0.1321 2022/08/25 23:10:15 - mmengine - INFO - Epoch(train) [23][60/63] lr: 1.0000e-04 eta: 22:12:52 time: 0.8691 data_time: 0.0314 memory: 25127 loss_text: 0.0911 loss_kernel: 0.0446 loss: 0.1357 2022/08/25 23:10:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:11:44 - mmengine - INFO - Epoch(train) [24][5/63] lr: 1.0000e-04 eta: 22:12:52 time: 9.1061 data_time: 8.3023 memory: 25127 loss_text: 0.0751 loss_kernel: 0.0382 loss: 0.1132 2022/08/25 23:11:48 - mmengine - INFO - Epoch(train) [24][10/63] lr: 1.0000e-04 eta: 22:38:29 time: 9.1466 data_time: 8.3095 memory: 25127 loss_text: 0.0796 loss_kernel: 0.0385 loss: 0.1180 2022/08/25 23:11:53 - mmengine - INFO - Epoch(train) [24][15/63] lr: 1.0000e-04 eta: 22:38:29 time: 0.8611 data_time: 0.0291 memory: 25127 loss_text: 0.0764 loss_kernel: 0.0376 loss: 0.1141 2022/08/25 23:11:57 - mmengine - INFO - Epoch(train) [24][20/63] lr: 1.0000e-04 eta: 22:32:27 time: 0.8692 data_time: 0.0474 memory: 25127 loss_text: 0.0728 loss_kernel: 0.0389 loss: 0.1117 2022/08/25 23:12:02 - mmengine - INFO - Epoch(train) [24][25/63] lr: 1.0000e-04 eta: 22:32:27 time: 0.8808 data_time: 0.0507 memory: 25127 loss_text: 0.0841 loss_kernel: 0.0438 loss: 0.1280 2022/08/25 23:12:06 - mmengine - INFO - Epoch(train) [24][30/63] lr: 1.0000e-04 eta: 22:26:40 time: 0.9133 data_time: 0.0250 memory: 25127 loss_text: 0.0764 loss_kernel: 0.0393 loss: 0.1156 2022/08/25 23:12:11 - mmengine - INFO - Epoch(train) [24][35/63] lr: 1.0000e-04 eta: 22:26:40 time: 0.8945 data_time: 0.0271 memory: 25127 loss_text: 0.0756 loss_kernel: 0.0375 loss: 0.1131 2022/08/25 23:12:16 - mmengine - INFO - Epoch(train) [24][40/63] lr: 1.0000e-04 eta: 22:21:03 time: 0.9335 data_time: 0.0320 memory: 25127 loss_text: 0.0803 loss_kernel: 0.0397 loss: 0.1201 2022/08/25 23:12:20 - mmengine - INFO - Epoch(train) [24][45/63] lr: 1.0000e-04 eta: 22:21:03 time: 0.9212 data_time: 0.0302 memory: 25127 loss_text: 0.0700 loss_kernel: 0.0374 loss: 0.1074 2022/08/25 23:12:25 - mmengine - INFO - Epoch(train) [24][50/63] lr: 1.0000e-04 eta: 22:15:27 time: 0.9171 data_time: 0.0319 memory: 25127 loss_text: 0.0795 loss_kernel: 0.0423 loss: 0.1218 2022/08/25 23:12:29 - mmengine - INFO - Epoch(train) [24][55/63] lr: 1.0000e-04 eta: 22:15:27 time: 0.9144 data_time: 0.0292 memory: 25127 loss_text: 0.0941 loss_kernel: 0.0479 loss: 0.1420 2022/08/25 23:12:33 - mmengine - INFO - Epoch(train) [24][60/63] lr: 1.0000e-04 eta: 22:09:37 time: 0.8453 data_time: 0.0231 memory: 25127 loss_text: 0.0961 loss_kernel: 0.0480 loss: 0.1441 2022/08/25 23:12:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:14:02 - mmengine - INFO - Epoch(train) [25][5/63] lr: 1.0000e-04 eta: 22:09:37 time: 9.0805 data_time: 8.2932 memory: 25127 loss_text: 0.0820 loss_kernel: 0.0406 loss: 0.1227 2022/08/25 23:14:06 - mmengine - INFO - Epoch(train) [25][10/63] lr: 1.0000e-04 eta: 22:34:01 time: 9.1207 data_time: 8.3095 memory: 25127 loss_text: 0.0878 loss_kernel: 0.0428 loss: 0.1305 2022/08/25 23:14:10 - mmengine - INFO - Epoch(train) [25][15/63] lr: 1.0000e-04 eta: 22:34:01 time: 0.8111 data_time: 0.0351 memory: 25127 loss_text: 0.0890 loss_kernel: 0.0422 loss: 0.1313 2022/08/25 23:14:16 - mmengine - INFO - Epoch(train) [25][20/63] lr: 1.0000e-04 eta: 22:28:27 time: 0.9218 data_time: 0.0334 memory: 25127 loss_text: 0.0860 loss_kernel: 0.0418 loss: 0.1278 2022/08/25 23:14:20 - mmengine - INFO - Epoch(train) [25][25/63] lr: 1.0000e-04 eta: 22:28:27 time: 0.9494 data_time: 0.0381 memory: 25127 loss_text: 0.0814 loss_kernel: 0.0400 loss: 0.1214 2022/08/25 23:14:24 - mmengine - INFO - Epoch(train) [25][30/63] lr: 1.0000e-04 eta: 22:22:36 time: 0.8330 data_time: 0.0281 memory: 25127 loss_text: 0.0800 loss_kernel: 0.0404 loss: 0.1204 2022/08/25 23:14:28 - mmengine - INFO - Epoch(train) [25][35/63] lr: 1.0000e-04 eta: 22:22:36 time: 0.8187 data_time: 0.0208 memory: 25127 loss_text: 0.0768 loss_kernel: 0.0395 loss: 0.1163 2022/08/25 23:14:32 - mmengine - INFO - Epoch(train) [25][40/63] lr: 1.0000e-04 eta: 22:16:45 time: 0.8129 data_time: 0.0224 memory: 25127 loss_text: 0.0766 loss_kernel: 0.0394 loss: 0.1160 2022/08/25 23:14:36 - mmengine - INFO - Epoch(train) [25][45/63] lr: 1.0000e-04 eta: 22:16:45 time: 0.8391 data_time: 0.0379 memory: 25127 loss_text: 0.0744 loss_kernel: 0.0405 loss: 0.1149 2022/08/25 23:14:41 - mmengine - INFO - Epoch(train) [25][50/63] lr: 1.0000e-04 eta: 22:11:03 time: 0.8374 data_time: 0.0326 memory: 25127 loss_text: 0.0657 loss_kernel: 0.0374 loss: 0.1032 2022/08/25 23:14:46 - mmengine - INFO - Epoch(train) [25][55/63] lr: 1.0000e-04 eta: 22:11:03 time: 0.9398 data_time: 0.0215 memory: 25127 loss_text: 0.0709 loss_kernel: 0.0369 loss: 0.1078 2022/08/25 23:14:50 - mmengine - INFO - Epoch(train) [25][60/63] lr: 1.0000e-04 eta: 22:05:52 time: 0.9466 data_time: 0.0228 memory: 25127 loss_text: 0.0759 loss_kernel: 0.0404 loss: 0.1163 2022/08/25 23:14:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:16:20 - mmengine - INFO - Epoch(train) [26][5/63] lr: 1.0000e-04 eta: 22:05:52 time: 9.1955 data_time: 8.4280 memory: 25127 loss_text: 0.0761 loss_kernel: 0.0402 loss: 0.1163 2022/08/25 23:16:25 - mmengine - INFO - Epoch(train) [26][10/63] lr: 1.0000e-04 eta: 22:29:43 time: 9.2433 data_time: 8.4388 memory: 25127 loss_text: 0.0845 loss_kernel: 0.0415 loss: 0.1260 2022/08/25 23:16:29 - mmengine - INFO - Epoch(train) [26][15/63] lr: 1.0000e-04 eta: 22:29:43 time: 0.8673 data_time: 0.0402 memory: 25127 loss_text: 0.0790 loss_kernel: 0.0390 loss: 0.1181 2022/08/25 23:16:33 - mmengine - INFO - Epoch(train) [26][20/63] lr: 1.0000e-04 eta: 22:24:14 time: 0.8880 data_time: 0.0435 memory: 25127 loss_text: 0.0720 loss_kernel: 0.0394 loss: 0.1113 2022/08/25 23:16:38 - mmengine - INFO - Epoch(train) [26][25/63] lr: 1.0000e-04 eta: 22:24:14 time: 0.8588 data_time: 0.0335 memory: 25127 loss_text: 0.0699 loss_kernel: 0.0368 loss: 0.1067 2022/08/25 23:16:42 - mmengine - INFO - Epoch(train) [26][30/63] lr: 1.0000e-04 eta: 22:18:45 time: 0.8648 data_time: 0.0259 memory: 25127 loss_text: 0.0718 loss_kernel: 0.0358 loss: 0.1076 2022/08/25 23:16:46 - mmengine - INFO - Epoch(train) [26][35/63] lr: 1.0000e-04 eta: 22:18:45 time: 0.8610 data_time: 0.0323 memory: 25127 loss_text: 0.0698 loss_kernel: 0.0364 loss: 0.1062 2022/08/25 23:16:51 - mmengine - INFO - Epoch(train) [26][40/63] lr: 1.0000e-04 eta: 22:13:17 time: 0.8556 data_time: 0.0328 memory: 25127 loss_text: 0.0772 loss_kernel: 0.0406 loss: 0.1177 2022/08/25 23:16:55 - mmengine - INFO - Epoch(train) [26][45/63] lr: 1.0000e-04 eta: 22:13:17 time: 0.8817 data_time: 0.0252 memory: 25127 loss_text: 0.0741 loss_kernel: 0.0400 loss: 0.1141 2022/08/25 23:16:59 - mmengine - INFO - Epoch(train) [26][50/63] lr: 1.0000e-04 eta: 22:07:54 time: 0.8587 data_time: 0.0238 memory: 25127 loss_text: 0.0651 loss_kernel: 0.0365 loss: 0.1016 2022/08/25 23:17:04 - mmengine - INFO - Epoch(train) [26][55/63] lr: 1.0000e-04 eta: 22:07:54 time: 0.8540 data_time: 0.0321 memory: 25127 loss_text: 0.0706 loss_kernel: 0.0383 loss: 0.1089 2022/08/25 23:17:08 - mmengine - INFO - Epoch(train) [26][60/63] lr: 1.0000e-04 eta: 22:02:34 time: 0.8546 data_time: 0.0250 memory: 25127 loss_text: 0.0756 loss_kernel: 0.0397 loss: 0.1154 2022/08/25 23:17:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:18:39 - mmengine - INFO - Epoch(train) [27][5/63] lr: 1.0000e-04 eta: 22:02:34 time: 9.2700 data_time: 8.4935 memory: 25127 loss_text: 0.0629 loss_kernel: 0.0351 loss: 0.0980 2022/08/25 23:18:43 - mmengine - INFO - Epoch(train) [27][10/63] lr: 1.0000e-04 eta: 22:25:49 time: 9.3421 data_time: 8.5180 memory: 25127 loss_text: 0.0683 loss_kernel: 0.0368 loss: 0.1051 2022/08/25 23:18:48 - mmengine - INFO - Epoch(train) [27][15/63] lr: 1.0000e-04 eta: 22:25:49 time: 0.8963 data_time: 0.0426 memory: 25127 loss_text: 0.0734 loss_kernel: 0.0388 loss: 0.1121 2022/08/25 23:18:52 - mmengine - INFO - Epoch(train) [27][20/63] lr: 1.0000e-04 eta: 22:20:33 time: 0.8890 data_time: 0.0278 memory: 25127 loss_text: 0.0696 loss_kernel: 0.0368 loss: 0.1064 2022/08/25 23:18:57 - mmengine - INFO - Epoch(train) [27][25/63] lr: 1.0000e-04 eta: 22:20:33 time: 0.8740 data_time: 0.0516 memory: 25127 loss_text: 0.0718 loss_kernel: 0.0381 loss: 0.1098 2022/08/25 23:19:01 - mmengine - INFO - Epoch(train) [27][30/63] lr: 1.0000e-04 eta: 22:15:17 time: 0.8659 data_time: 0.0381 memory: 25127 loss_text: 0.0658 loss_kernel: 0.0361 loss: 0.1020 2022/08/25 23:19:05 - mmengine - INFO - Epoch(train) [27][35/63] lr: 1.0000e-04 eta: 22:15:17 time: 0.8518 data_time: 0.0224 memory: 25127 loss_text: 0.0691 loss_kernel: 0.0365 loss: 0.1057 2022/08/25 23:19:09 - mmengine - INFO - Epoch(train) [27][40/63] lr: 1.0000e-04 eta: 22:09:58 time: 0.8409 data_time: 0.0302 memory: 25127 loss_text: 0.0719 loss_kernel: 0.0381 loss: 0.1100 2022/08/25 23:19:14 - mmengine - INFO - Epoch(train) [27][45/63] lr: 1.0000e-04 eta: 22:09:58 time: 0.8372 data_time: 0.0274 memory: 25127 loss_text: 0.0674 loss_kernel: 0.0370 loss: 0.1044 2022/08/25 23:19:18 - mmengine - INFO - Epoch(train) [27][50/63] lr: 1.0000e-04 eta: 22:04:45 time: 0.8469 data_time: 0.0340 memory: 25127 loss_text: 0.0703 loss_kernel: 0.0364 loss: 0.1067 2022/08/25 23:19:22 - mmengine - INFO - Epoch(train) [27][55/63] lr: 1.0000e-04 eta: 22:04:45 time: 0.8533 data_time: 0.0330 memory: 25127 loss_text: 0.0669 loss_kernel: 0.0345 loss: 0.1014 2022/08/25 23:19:26 - mmengine - INFO - Epoch(train) [27][60/63] lr: 1.0000e-04 eta: 21:59:36 time: 0.8516 data_time: 0.0219 memory: 25127 loss_text: 0.0601 loss_kernel: 0.0333 loss: 0.0934 2022/08/25 23:19:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:20:58 - mmengine - INFO - Epoch(train) [28][5/63] lr: 1.0000e-04 eta: 21:59:36 time: 9.3037 data_time: 8.5122 memory: 25127 loss_text: 0.0641 loss_kernel: 0.0350 loss: 0.0992 2022/08/25 23:21:02 - mmengine - INFO - Epoch(train) [28][10/63] lr: 1.0000e-04 eta: 22:21:53 time: 9.3280 data_time: 8.5249 memory: 25127 loss_text: 0.0636 loss_kernel: 0.0344 loss: 0.0980 2022/08/25 23:21:07 - mmengine - INFO - Epoch(train) [28][15/63] lr: 1.0000e-04 eta: 22:21:53 time: 0.9579 data_time: 0.0352 memory: 25127 loss_text: 0.0634 loss_kernel: 0.0343 loss: 0.0977 2022/08/25 23:21:11 - mmengine - INFO - Epoch(train) [28][20/63] lr: 1.0000e-04 eta: 22:17:04 time: 0.9563 data_time: 0.0338 memory: 25127 loss_text: 0.0697 loss_kernel: 0.0383 loss: 0.1079 2022/08/25 23:21:15 - mmengine - INFO - Epoch(train) [28][25/63] lr: 1.0000e-04 eta: 22:17:04 time: 0.8104 data_time: 0.0308 memory: 25127 loss_text: 0.0736 loss_kernel: 0.0410 loss: 0.1146 2022/08/25 23:21:20 - mmengine - INFO - Epoch(train) [28][30/63] lr: 1.0000e-04 eta: 22:11:50 time: 0.8246 data_time: 0.0268 memory: 25127 loss_text: 0.0727 loss_kernel: 0.0392 loss: 0.1119 2022/08/25 23:21:24 - mmengine - INFO - Epoch(train) [28][35/63] lr: 1.0000e-04 eta: 22:11:50 time: 0.8493 data_time: 0.0245 memory: 25127 loss_text: 0.0781 loss_kernel: 0.0398 loss: 0.1179 2022/08/25 23:21:29 - mmengine - INFO - Epoch(train) [28][40/63] lr: 1.0000e-04 eta: 22:06:54 time: 0.8949 data_time: 0.0389 memory: 25127 loss_text: 0.0756 loss_kernel: 0.0390 loss: 0.1146 2022/08/25 23:21:33 - mmengine - INFO - Epoch(train) [28][45/63] lr: 1.0000e-04 eta: 22:06:54 time: 0.8681 data_time: 0.0460 memory: 25127 loss_text: 0.0729 loss_kernel: 0.0379 loss: 0.1108 2022/08/25 23:21:37 - mmengine - INFO - Epoch(train) [28][50/63] lr: 1.0000e-04 eta: 22:01:46 time: 0.8193 data_time: 0.0274 memory: 25127 loss_text: 0.0745 loss_kernel: 0.0391 loss: 0.1136 2022/08/25 23:21:41 - mmengine - INFO - Epoch(train) [28][55/63] lr: 1.0000e-04 eta: 22:01:46 time: 0.8292 data_time: 0.0239 memory: 25127 loss_text: 0.0698 loss_kernel: 0.0363 loss: 0.1061 2022/08/25 23:21:46 - mmengine - INFO - Epoch(train) [28][60/63] lr: 1.0000e-04 eta: 21:57:08 time: 0.9480 data_time: 0.0320 memory: 25127 loss_text: 0.0748 loss_kernel: 0.0379 loss: 0.1127 2022/08/25 23:21:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:23:17 - mmengine - INFO - Epoch(train) [29][5/63] lr: 1.0000e-04 eta: 21:57:08 time: 9.3300 data_time: 8.4197 memory: 25127 loss_text: 0.0769 loss_kernel: 0.0426 loss: 0.1196 2022/08/25 23:23:21 - mmengine - INFO - Epoch(train) [29][10/63] lr: 1.0000e-04 eta: 22:18:27 time: 9.2907 data_time: 8.4596 memory: 25127 loss_text: 0.0862 loss_kernel: 0.0425 loss: 0.1287 2022/08/25 23:23:26 - mmengine - INFO - Epoch(train) [29][15/63] lr: 1.0000e-04 eta: 22:18:27 time: 0.9286 data_time: 0.0597 memory: 25127 loss_text: 0.0846 loss_kernel: 0.0434 loss: 0.1279 2022/08/25 23:23:30 - mmengine - INFO - Epoch(train) [29][20/63] lr: 1.0000e-04 eta: 22:13:36 time: 0.8939 data_time: 0.0229 memory: 25127 loss_text: 0.0740 loss_kernel: 0.0396 loss: 0.1136 2022/08/25 23:23:35 - mmengine - INFO - Epoch(train) [29][25/63] lr: 1.0000e-04 eta: 22:13:36 time: 0.8741 data_time: 0.0392 memory: 25127 loss_text: 0.0846 loss_kernel: 0.0429 loss: 0.1275 2022/08/25 23:23:39 - mmengine - INFO - Epoch(train) [29][30/63] lr: 1.0000e-04 eta: 22:08:42 time: 0.8690 data_time: 0.0253 memory: 25127 loss_text: 0.0833 loss_kernel: 0.0434 loss: 0.1267 2022/08/25 23:23:43 - mmengine - INFO - Epoch(train) [29][35/63] lr: 1.0000e-04 eta: 22:08:42 time: 0.8419 data_time: 0.0267 memory: 25127 loss_text: 0.0682 loss_kernel: 0.0357 loss: 0.1039 2022/08/25 23:23:48 - mmengine - INFO - Epoch(train) [29][40/63] lr: 1.0000e-04 eta: 22:03:49 time: 0.8554 data_time: 0.0320 memory: 25127 loss_text: 0.0703 loss_kernel: 0.0362 loss: 0.1065 2022/08/25 23:23:52 - mmengine - INFO - Epoch(train) [29][45/63] lr: 1.0000e-04 eta: 22:03:49 time: 0.8549 data_time: 0.0270 memory: 25127 loss_text: 0.0813 loss_kernel: 0.0413 loss: 0.1225 2022/08/25 23:23:56 - mmengine - INFO - Epoch(train) [29][50/63] lr: 1.0000e-04 eta: 21:58:58 time: 0.8505 data_time: 0.0342 memory: 25127 loss_text: 0.0782 loss_kernel: 0.0395 loss: 0.1177 2022/08/25 23:24:00 - mmengine - INFO - Epoch(train) [29][55/63] lr: 1.0000e-04 eta: 21:58:58 time: 0.8688 data_time: 0.0285 memory: 25127 loss_text: 0.0667 loss_kernel: 0.0355 loss: 0.1023 2022/08/25 23:24:05 - mmengine - INFO - Epoch(train) [29][60/63] lr: 1.0000e-04 eta: 21:54:16 time: 0.8853 data_time: 0.0240 memory: 25127 loss_text: 0.0866 loss_kernel: 0.0425 loss: 0.1291 2022/08/25 23:24:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:25:36 - mmengine - INFO - Epoch(train) [30][5/63] lr: 1.0000e-04 eta: 21:54:16 time: 9.3075 data_time: 8.4649 memory: 25127 loss_text: 0.0811 loss_kernel: 0.0413 loss: 0.1224 2022/08/25 23:25:41 - mmengine - INFO - Epoch(train) [30][10/63] lr: 1.0000e-04 eta: 22:15:02 time: 9.3551 data_time: 8.4999 memory: 25127 loss_text: 0.0739 loss_kernel: 0.0400 loss: 0.1139 2022/08/25 23:25:46 - mmengine - INFO - Epoch(train) [30][15/63] lr: 1.0000e-04 eta: 22:15:02 time: 0.9507 data_time: 0.0450 memory: 25127 loss_text: 0.0713 loss_kernel: 0.0402 loss: 0.1115 2022/08/25 23:25:50 - mmengine - INFO - Epoch(train) [30][20/63] lr: 1.0000e-04 eta: 22:10:21 time: 0.9015 data_time: 0.0186 memory: 25127 loss_text: 0.0722 loss_kernel: 0.0399 loss: 0.1121 2022/08/25 23:25:54 - mmengine - INFO - Epoch(train) [30][25/63] lr: 1.0000e-04 eta: 22:10:21 time: 0.8498 data_time: 0.0299 memory: 25127 loss_text: 0.0814 loss_kernel: 0.0432 loss: 0.1246 2022/08/25 23:25:58 - mmengine - INFO - Epoch(train) [30][30/63] lr: 1.0000e-04 eta: 22:05:37 time: 0.8669 data_time: 0.0322 memory: 25127 loss_text: 0.0777 loss_kernel: 0.0401 loss: 0.1178 2022/08/25 23:26:03 - mmengine - INFO - Epoch(train) [30][35/63] lr: 1.0000e-04 eta: 22:05:37 time: 0.8521 data_time: 0.0346 memory: 25127 loss_text: 0.0715 loss_kernel: 0.0368 loss: 0.1083 2022/08/25 23:26:07 - mmengine - INFO - Epoch(train) [30][40/63] lr: 1.0000e-04 eta: 22:00:51 time: 0.8435 data_time: 0.0271 memory: 25127 loss_text: 0.0787 loss_kernel: 0.0394 loss: 0.1181 2022/08/25 23:26:11 - mmengine - INFO - Epoch(train) [30][45/63] lr: 1.0000e-04 eta: 22:00:51 time: 0.8386 data_time: 0.0249 memory: 25127 loss_text: 0.0731 loss_kernel: 0.0371 loss: 0.1102 2022/08/25 23:26:16 - mmengine - INFO - Epoch(train) [30][50/63] lr: 1.0000e-04 eta: 21:56:13 time: 0.8684 data_time: 0.0385 memory: 25127 loss_text: 0.0697 loss_kernel: 0.0390 loss: 0.1087 2022/08/25 23:26:20 - mmengine - INFO - Epoch(train) [30][55/63] lr: 1.0000e-04 eta: 21:56:13 time: 0.8671 data_time: 0.0310 memory: 25127 loss_text: 0.0770 loss_kernel: 0.0383 loss: 0.1153 2022/08/25 23:26:24 - mmengine - INFO - Epoch(train) [30][60/63] lr: 1.0000e-04 eta: 21:51:34 time: 0.8449 data_time: 0.0184 memory: 25127 loss_text: 0.0804 loss_kernel: 0.0404 loss: 0.1208 2022/08/25 23:26:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:27:56 - mmengine - INFO - Epoch(train) [31][5/63] lr: 1.0000e-04 eta: 21:51:34 time: 9.3594 data_time: 8.5711 memory: 25127 loss_text: 0.0625 loss_kernel: 0.0360 loss: 0.0985 2022/08/25 23:28:00 - mmengine - INFO - Epoch(train) [31][10/63] lr: 1.0000e-04 eta: 22:11:43 time: 9.3997 data_time: 8.5999 memory: 25127 loss_text: 0.0634 loss_kernel: 0.0356 loss: 0.0990 2022/08/25 23:28:05 - mmengine - INFO - Epoch(train) [31][15/63] lr: 1.0000e-04 eta: 22:11:43 time: 0.9036 data_time: 0.0416 memory: 25127 loss_text: 0.0718 loss_kernel: 0.0383 loss: 0.1101 2022/08/25 23:28:10 - mmengine - INFO - Epoch(train) [31][20/63] lr: 1.0000e-04 eta: 22:07:30 time: 0.9983 data_time: 0.0381 memory: 25127 loss_text: 0.0756 loss_kernel: 0.0405 loss: 0.1161 2022/08/25 23:28:15 - mmengine - INFO - Epoch(train) [31][25/63] lr: 1.0000e-04 eta: 22:07:30 time: 0.9856 data_time: 0.0647 memory: 25127 loss_text: 0.0750 loss_kernel: 0.0395 loss: 0.1144 2022/08/25 23:28:19 - mmengine - INFO - Epoch(train) [31][30/63] lr: 1.0000e-04 eta: 22:02:57 time: 0.8758 data_time: 0.0390 memory: 25127 loss_text: 0.0758 loss_kernel: 0.0377 loss: 0.1135 2022/08/25 23:28:23 - mmengine - INFO - Epoch(train) [31][35/63] lr: 1.0000e-04 eta: 22:02:57 time: 0.8232 data_time: 0.0247 memory: 25127 loss_text: 0.0786 loss_kernel: 0.0375 loss: 0.1161 2022/08/25 23:28:29 - mmengine - INFO - Epoch(train) [31][40/63] lr: 1.0000e-04 eta: 21:58:40 time: 0.9497 data_time: 0.0281 memory: 25127 loss_text: 0.0734 loss_kernel: 0.0370 loss: 0.1104 2022/08/25 23:28:33 - mmengine - INFO - Epoch(train) [31][45/63] lr: 1.0000e-04 eta: 21:58:40 time: 0.9523 data_time: 0.0255 memory: 25127 loss_text: 0.0693 loss_kernel: 0.0364 loss: 0.1057 2022/08/25 23:28:37 - mmengine - INFO - Epoch(train) [31][50/63] lr: 1.0000e-04 eta: 21:54:08 time: 0.8534 data_time: 0.0330 memory: 25127 loss_text: 0.0690 loss_kernel: 0.0352 loss: 0.1042 2022/08/25 23:28:41 - mmengine - INFO - Epoch(train) [31][55/63] lr: 1.0000e-04 eta: 21:54:08 time: 0.8772 data_time: 0.0352 memory: 25127 loss_text: 0.0697 loss_kernel: 0.0359 loss: 0.1057 2022/08/25 23:28:46 - mmengine - INFO - Epoch(train) [31][60/63] lr: 1.0000e-04 eta: 21:49:41 time: 0.8657 data_time: 0.0259 memory: 25127 loss_text: 0.0680 loss_kernel: 0.0368 loss: 0.1047 2022/08/25 23:28:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:30:17 - mmengine - INFO - Epoch(train) [32][5/63] lr: 1.0000e-04 eta: 21:49:41 time: 9.3097 data_time: 8.4943 memory: 25127 loss_text: 0.0604 loss_kernel: 0.0318 loss: 0.0922 2022/08/25 23:30:22 - mmengine - INFO - Epoch(train) [32][10/63] lr: 1.0000e-04 eta: 22:09:00 time: 9.3543 data_time: 8.5033 memory: 25127 loss_text: 0.0665 loss_kernel: 0.0350 loss: 0.1016 2022/08/25 23:30:26 - mmengine - INFO - Epoch(train) [32][15/63] lr: 1.0000e-04 eta: 22:09:00 time: 0.8993 data_time: 0.0808 memory: 25127 loss_text: 0.0782 loss_kernel: 0.0390 loss: 0.1172 2022/08/25 23:30:31 - mmengine - INFO - Epoch(train) [32][20/63] lr: 1.0000e-04 eta: 22:04:36 time: 0.8907 data_time: 0.0850 memory: 25127 loss_text: 0.0886 loss_kernel: 0.0428 loss: 0.1314 2022/08/25 23:30:35 - mmengine - INFO - Epoch(train) [32][25/63] lr: 1.0000e-04 eta: 22:04:36 time: 0.8522 data_time: 0.0345 memory: 25127 loss_text: 0.0776 loss_kernel: 0.0390 loss: 0.1166 2022/08/25 23:30:39 - mmengine - INFO - Epoch(train) [32][30/63] lr: 1.0000e-04 eta: 22:00:05 time: 0.8420 data_time: 0.0255 memory: 25127 loss_text: 0.0673 loss_kernel: 0.0354 loss: 0.1028 2022/08/25 23:30:43 - mmengine - INFO - Epoch(train) [32][35/63] lr: 1.0000e-04 eta: 22:00:05 time: 0.8279 data_time: 0.0302 memory: 25127 loss_text: 0.0656 loss_kernel: 0.0357 loss: 0.1014 2022/08/25 23:30:47 - mmengine - INFO - Epoch(train) [32][40/63] lr: 1.0000e-04 eta: 21:55:34 time: 0.8258 data_time: 0.0276 memory: 25127 loss_text: 0.0691 loss_kernel: 0.0356 loss: 0.1047 2022/08/25 23:30:52 - mmengine - INFO - Epoch(train) [32][45/63] lr: 1.0000e-04 eta: 21:55:34 time: 0.8730 data_time: 0.0315 memory: 25127 loss_text: 0.0774 loss_kernel: 0.0385 loss: 0.1159 2022/08/25 23:30:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:30:56 - mmengine - INFO - Epoch(train) [32][50/63] lr: 1.0000e-04 eta: 21:51:13 time: 0.8712 data_time: 0.0311 memory: 25127 loss_text: 0.0794 loss_kernel: 0.0377 loss: 0.1170 2022/08/25 23:31:00 - mmengine - INFO - Epoch(train) [32][55/63] lr: 1.0000e-04 eta: 21:51:13 time: 0.8381 data_time: 0.0255 memory: 25127 loss_text: 0.0760 loss_kernel: 0.0386 loss: 0.1145 2022/08/25 23:31:04 - mmengine - INFO - Epoch(train) [32][60/63] lr: 1.0000e-04 eta: 21:46:49 time: 0.8336 data_time: 0.0257 memory: 25127 loss_text: 0.0702 loss_kernel: 0.0402 loss: 0.1105 2022/08/25 23:31:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:32:36 - mmengine - INFO - Epoch(train) [33][5/63] lr: 1.0000e-04 eta: 21:46:49 time: 9.3052 data_time: 8.4677 memory: 25127 loss_text: 0.0727 loss_kernel: 0.0362 loss: 0.1090 2022/08/25 23:32:40 - mmengine - INFO - Epoch(train) [33][10/63] lr: 1.0000e-04 eta: 22:05:25 time: 9.3307 data_time: 8.4889 memory: 25127 loss_text: 0.0797 loss_kernel: 0.0408 loss: 0.1205 2022/08/25 23:32:44 - mmengine - INFO - Epoch(train) [33][15/63] lr: 1.0000e-04 eta: 22:05:25 time: 0.8596 data_time: 0.0371 memory: 25127 loss_text: 0.0752 loss_kernel: 0.0391 loss: 0.1143 2022/08/25 23:32:49 - mmengine - INFO - Epoch(train) [33][20/63] lr: 1.0000e-04 eta: 22:01:03 time: 0.8595 data_time: 0.0207 memory: 25127 loss_text: 0.0749 loss_kernel: 0.0376 loss: 0.1125 2022/08/25 23:32:53 - mmengine - INFO - Epoch(train) [33][25/63] lr: 1.0000e-04 eta: 22:01:03 time: 0.8636 data_time: 0.0425 memory: 25127 loss_text: 0.0774 loss_kernel: 0.0394 loss: 0.1167 2022/08/25 23:32:57 - mmengine - INFO - Epoch(train) [33][30/63] lr: 1.0000e-04 eta: 21:56:42 time: 0.8449 data_time: 0.0341 memory: 25127 loss_text: 0.0691 loss_kernel: 0.0365 loss: 0.1056 2022/08/25 23:33:01 - mmengine - INFO - Epoch(train) [33][35/63] lr: 1.0000e-04 eta: 21:56:42 time: 0.8362 data_time: 0.0267 memory: 25127 loss_text: 0.0690 loss_kernel: 0.0372 loss: 0.1062 2022/08/25 23:33:06 - mmengine - INFO - Epoch(train) [33][40/63] lr: 1.0000e-04 eta: 21:52:31 time: 0.8953 data_time: 0.0332 memory: 25127 loss_text: 0.0639 loss_kernel: 0.0351 loss: 0.0990 2022/08/25 23:33:10 - mmengine - INFO - Epoch(train) [33][45/63] lr: 1.0000e-04 eta: 21:52:31 time: 0.8819 data_time: 0.0287 memory: 25127 loss_text: 0.0633 loss_kernel: 0.0337 loss: 0.0970 2022/08/25 23:33:14 - mmengine - INFO - Epoch(train) [33][50/63] lr: 1.0000e-04 eta: 21:48:12 time: 0.8345 data_time: 0.0331 memory: 25127 loss_text: 0.0652 loss_kernel: 0.0356 loss: 0.1008 2022/08/25 23:33:19 - mmengine - INFO - Epoch(train) [33][55/63] lr: 1.0000e-04 eta: 21:48:12 time: 0.8454 data_time: 0.0304 memory: 25127 loss_text: 0.0645 loss_kernel: 0.0354 loss: 0.1000 2022/08/25 23:33:23 - mmengine - INFO - Epoch(train) [33][60/63] lr: 1.0000e-04 eta: 21:43:56 time: 0.8361 data_time: 0.0249 memory: 25127 loss_text: 0.0583 loss_kernel: 0.0338 loss: 0.0921 2022/08/25 23:33:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:34:52 - mmengine - INFO - Epoch(train) [34][5/63] lr: 1.0000e-04 eta: 21:43:56 time: 9.0561 data_time: 8.2422 memory: 25127 loss_text: 0.0551 loss_kernel: 0.0320 loss: 0.0871 2022/08/25 23:34:56 - mmengine - INFO - Epoch(train) [34][10/63] lr: 1.0000e-04 eta: 22:01:15 time: 9.0915 data_time: 8.2608 memory: 25127 loss_text: 0.0606 loss_kernel: 0.0340 loss: 0.0946 2022/08/25 23:35:00 - mmengine - INFO - Epoch(train) [34][15/63] lr: 1.0000e-04 eta: 22:01:15 time: 0.8253 data_time: 0.0320 memory: 25127 loss_text: 0.0696 loss_kernel: 0.0385 loss: 0.1081 2022/08/25 23:35:04 - mmengine - INFO - Epoch(train) [34][20/63] lr: 1.0000e-04 eta: 21:56:53 time: 0.8104 data_time: 0.0189 memory: 25127 loss_text: 0.0722 loss_kernel: 0.0395 loss: 0.1117 2022/08/25 23:35:08 - mmengine - INFO - Epoch(train) [34][25/63] lr: 1.0000e-04 eta: 21:56:53 time: 0.8147 data_time: 0.0331 memory: 25127 loss_text: 0.0712 loss_kernel: 0.0383 loss: 0.1095 2022/08/25 23:35:12 - mmengine - INFO - Epoch(train) [34][30/63] lr: 1.0000e-04 eta: 21:52:35 time: 0.8182 data_time: 0.0261 memory: 25127 loss_text: 0.0642 loss_kernel: 0.0350 loss: 0.0992 2022/08/25 23:35:18 - mmengine - INFO - Epoch(train) [34][35/63] lr: 1.0000e-04 eta: 21:52:35 time: 0.9495 data_time: 0.0229 memory: 25127 loss_text: 0.0559 loss_kernel: 0.0324 loss: 0.0882 2022/08/25 23:35:22 - mmengine - INFO - Epoch(train) [34][40/63] lr: 1.0000e-04 eta: 21:48:45 time: 0.9692 data_time: 0.0271 memory: 25127 loss_text: 0.0624 loss_kernel: 0.0348 loss: 0.0971 2022/08/25 23:35:26 - mmengine - INFO - Epoch(train) [34][45/63] lr: 1.0000e-04 eta: 21:48:45 time: 0.8522 data_time: 0.0256 memory: 25127 loss_text: 0.0672 loss_kernel: 0.0370 loss: 0.1042 2022/08/25 23:35:30 - mmengine - INFO - Epoch(train) [34][50/63] lr: 1.0000e-04 eta: 21:44:36 time: 0.8469 data_time: 0.0339 memory: 25127 loss_text: 0.0626 loss_kernel: 0.0354 loss: 0.0980 2022/08/25 23:35:35 - mmengine - INFO - Epoch(train) [34][55/63] lr: 1.0000e-04 eta: 21:44:36 time: 0.8543 data_time: 0.0319 memory: 25127 loss_text: 0.0622 loss_kernel: 0.0345 loss: 0.0967 2022/08/25 23:35:39 - mmengine - INFO - Epoch(train) [34][60/63] lr: 1.0000e-04 eta: 21:40:34 time: 0.8745 data_time: 0.0234 memory: 25127 loss_text: 0.0621 loss_kernel: 0.0355 loss: 0.0975 2022/08/25 23:35:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:37:09 - mmengine - INFO - Epoch(train) [35][5/63] lr: 1.0000e-04 eta: 21:40:34 time: 9.0957 data_time: 8.2908 memory: 25127 loss_text: 0.0526 loss_kernel: 0.0319 loss: 0.0845 2022/08/25 23:37:13 - mmengine - INFO - Epoch(train) [35][10/63] lr: 1.0000e-04 eta: 21:57:33 time: 9.1726 data_time: 8.3187 memory: 25127 loss_text: 0.0569 loss_kernel: 0.0326 loss: 0.0895 2022/08/25 23:37:18 - mmengine - INFO - Epoch(train) [35][15/63] lr: 1.0000e-04 eta: 21:57:33 time: 0.9701 data_time: 0.0397 memory: 25127 loss_text: 0.0645 loss_kernel: 0.0355 loss: 0.1000 2022/08/25 23:37:23 - mmengine - INFO - Epoch(train) [35][20/63] lr: 1.0000e-04 eta: 21:53:40 time: 0.9382 data_time: 0.0243 memory: 25127 loss_text: 0.0688 loss_kernel: 0.0374 loss: 0.1062 2022/08/25 23:37:27 - mmengine - INFO - Epoch(train) [35][25/63] lr: 1.0000e-04 eta: 21:53:40 time: 0.8447 data_time: 0.0381 memory: 25127 loss_text: 0.0701 loss_kernel: 0.0400 loss: 0.1102 2022/08/25 23:37:31 - mmengine - INFO - Epoch(train) [35][30/63] lr: 1.0000e-04 eta: 21:49:34 time: 0.8418 data_time: 0.0291 memory: 25127 loss_text: 0.0697 loss_kernel: 0.0409 loss: 0.1106 2022/08/25 23:37:35 - mmengine - INFO - Epoch(train) [35][35/63] lr: 1.0000e-04 eta: 21:49:34 time: 0.8492 data_time: 0.0239 memory: 25127 loss_text: 0.0664 loss_kernel: 0.0369 loss: 0.1032 2022/08/25 23:37:39 - mmengine - INFO - Epoch(train) [35][40/63] lr: 1.0000e-04 eta: 21:45:30 time: 0.8484 data_time: 0.0323 memory: 25127 loss_text: 0.0618 loss_kernel: 0.0355 loss: 0.0973 2022/08/25 23:37:44 - mmengine - INFO - Epoch(train) [35][45/63] lr: 1.0000e-04 eta: 21:45:30 time: 0.8460 data_time: 0.0319 memory: 25127 loss_text: 0.0695 loss_kernel: 0.0378 loss: 0.1073 2022/08/25 23:37:48 - mmengine - INFO - Epoch(train) [35][50/63] lr: 1.0000e-04 eta: 21:41:32 time: 0.8666 data_time: 0.0366 memory: 25127 loss_text: 0.0705 loss_kernel: 0.0375 loss: 0.1080 2022/08/25 23:37:52 - mmengine - INFO - Epoch(train) [35][55/63] lr: 1.0000e-04 eta: 21:41:32 time: 0.8399 data_time: 0.0328 memory: 25127 loss_text: 0.0722 loss_kernel: 0.0393 loss: 0.1115 2022/08/25 23:37:57 - mmengine - INFO - Epoch(train) [35][60/63] lr: 1.0000e-04 eta: 21:37:36 time: 0.8720 data_time: 0.0218 memory: 25127 loss_text: 0.0657 loss_kernel: 0.0368 loss: 0.1025 2022/08/25 23:37:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:39:28 - mmengine - INFO - Epoch(train) [36][5/63] lr: 1.0000e-04 eta: 21:37:36 time: 9.2654 data_time: 8.4590 memory: 25127 loss_text: 0.0564 loss_kernel: 0.0325 loss: 0.0889 2022/08/25 23:39:32 - mmengine - INFO - Epoch(train) [36][10/63] lr: 1.0000e-04 eta: 21:54:28 time: 9.3175 data_time: 8.4824 memory: 25127 loss_text: 0.0592 loss_kernel: 0.0331 loss: 0.0923 2022/08/25 23:39:37 - mmengine - INFO - Epoch(train) [36][15/63] lr: 1.0000e-04 eta: 21:54:28 time: 0.9082 data_time: 0.0339 memory: 25127 loss_text: 0.0580 loss_kernel: 0.0341 loss: 0.0921 2022/08/25 23:39:41 - mmengine - INFO - Epoch(train) [36][20/63] lr: 1.0000e-04 eta: 21:50:31 time: 0.8747 data_time: 0.0196 memory: 25127 loss_text: 0.0596 loss_kernel: 0.0365 loss: 0.0961 2022/08/25 23:39:45 - mmengine - INFO - Epoch(train) [36][25/63] lr: 1.0000e-04 eta: 21:50:31 time: 0.8474 data_time: 0.0274 memory: 25127 loss_text: 0.0620 loss_kernel: 0.0361 loss: 0.0981 2022/08/25 23:39:50 - mmengine - INFO - Epoch(train) [36][30/63] lr: 1.0000e-04 eta: 21:46:35 time: 0.8685 data_time: 0.0267 memory: 25127 loss_text: 0.0585 loss_kernel: 0.0330 loss: 0.0915 2022/08/25 23:39:54 - mmengine - INFO - Epoch(train) [36][35/63] lr: 1.0000e-04 eta: 21:46:35 time: 0.9057 data_time: 0.0307 memory: 25127 loss_text: 0.0566 loss_kernel: 0.0329 loss: 0.0895 2022/08/25 23:39:59 - mmengine - INFO - Epoch(train) [36][40/63] lr: 1.0000e-04 eta: 21:42:47 time: 0.9011 data_time: 0.0255 memory: 25127 loss_text: 0.0546 loss_kernel: 0.0329 loss: 0.0875 2022/08/25 23:40:03 - mmengine - INFO - Epoch(train) [36][45/63] lr: 1.0000e-04 eta: 21:42:47 time: 0.8484 data_time: 0.0255 memory: 25127 loss_text: 0.0559 loss_kernel: 0.0329 loss: 0.0888 2022/08/25 23:40:07 - mmengine - INFO - Epoch(train) [36][50/63] lr: 1.0000e-04 eta: 21:38:53 time: 0.8516 data_time: 0.0401 memory: 25127 loss_text: 0.0596 loss_kernel: 0.0329 loss: 0.0925 2022/08/25 23:40:11 - mmengine - INFO - Epoch(train) [36][55/63] lr: 1.0000e-04 eta: 21:38:53 time: 0.8670 data_time: 0.0302 memory: 25127 loss_text: 0.0598 loss_kernel: 0.0330 loss: 0.0928 2022/08/25 23:40:16 - mmengine - INFO - Epoch(train) [36][60/63] lr: 1.0000e-04 eta: 21:35:00 time: 0.8491 data_time: 0.0185 memory: 25127 loss_text: 0.0585 loss_kernel: 0.0325 loss: 0.0910 2022/08/25 23:40:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:41:45 - mmengine - INFO - Epoch(train) [37][5/63] lr: 1.0000e-04 eta: 21:35:00 time: 9.1269 data_time: 8.3285 memory: 25127 loss_text: 0.0605 loss_kernel: 0.0344 loss: 0.0950 2022/08/25 23:41:50 - mmengine - INFO - Epoch(train) [37][10/63] lr: 1.0000e-04 eta: 21:50:57 time: 9.1618 data_time: 8.3481 memory: 25127 loss_text: 0.0574 loss_kernel: 0.0341 loss: 0.0916 2022/08/25 23:41:54 - mmengine - INFO - Epoch(train) [37][15/63] lr: 1.0000e-04 eta: 21:50:57 time: 0.8262 data_time: 0.0352 memory: 25127 loss_text: 0.0545 loss_kernel: 0.0338 loss: 0.0883 2022/08/25 23:41:59 - mmengine - INFO - Epoch(train) [37][20/63] lr: 1.0000e-04 eta: 21:47:25 time: 0.9889 data_time: 0.0354 memory: 25127 loss_text: 0.0552 loss_kernel: 0.0329 loss: 0.0881 2022/08/25 23:42:04 - mmengine - INFO - Epoch(train) [37][25/63] lr: 1.0000e-04 eta: 21:47:25 time: 1.0106 data_time: 0.0468 memory: 25127 loss_text: 0.0614 loss_kernel: 0.0352 loss: 0.0966 2022/08/25 23:42:08 - mmengine - INFO - Epoch(train) [37][30/63] lr: 1.0000e-04 eta: 21:43:30 time: 0.8322 data_time: 0.0282 memory: 25127 loss_text: 0.0620 loss_kernel: 0.0361 loss: 0.0981 2022/08/25 23:42:12 - mmengine - INFO - Epoch(train) [37][35/63] lr: 1.0000e-04 eta: 21:43:30 time: 0.8308 data_time: 0.0199 memory: 25127 loss_text: 0.0623 loss_kernel: 0.0351 loss: 0.0974 2022/08/25 23:42:17 - mmengine - INFO - Epoch(train) [37][40/63] lr: 1.0000e-04 eta: 21:39:48 time: 0.9030 data_time: 0.0328 memory: 25127 loss_text: 0.0625 loss_kernel: 0.0355 loss: 0.0979 2022/08/25 23:42:21 - mmengine - INFO - Epoch(train) [37][45/63] lr: 1.0000e-04 eta: 21:39:48 time: 0.9006 data_time: 0.0260 memory: 25127 loss_text: 0.0678 loss_kernel: 0.0376 loss: 0.1054 2022/08/25 23:42:25 - mmengine - INFO - Epoch(train) [37][50/63] lr: 1.0000e-04 eta: 21:35:58 time: 0.8358 data_time: 0.0212 memory: 25127 loss_text: 0.0773 loss_kernel: 0.0400 loss: 0.1174 2022/08/25 23:42:29 - mmengine - INFO - Epoch(train) [37][55/63] lr: 1.0000e-04 eta: 21:35:58 time: 0.8164 data_time: 0.0256 memory: 25127 loss_text: 0.0709 loss_kernel: 0.0375 loss: 0.1084 2022/08/25 23:42:33 - mmengine - INFO - Epoch(train) [37][60/63] lr: 1.0000e-04 eta: 21:32:07 time: 0.8257 data_time: 0.0231 memory: 25127 loss_text: 0.0708 loss_kernel: 0.0379 loss: 0.1087 2022/08/25 23:42:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:44:04 - mmengine - INFO - Epoch(train) [38][5/63] lr: 1.0000e-04 eta: 21:32:07 time: 9.2403 data_time: 8.4398 memory: 25127 loss_text: 0.0808 loss_kernel: 0.0417 loss: 0.1225 2022/08/25 23:44:09 - mmengine - INFO - Epoch(train) [38][10/63] lr: 1.0000e-04 eta: 21:47:55 time: 9.2829 data_time: 8.4620 memory: 25127 loss_text: 0.0735 loss_kernel: 0.0378 loss: 0.1113 2022/08/25 23:44:13 - mmengine - INFO - Epoch(train) [38][15/63] lr: 1.0000e-04 eta: 21:47:55 time: 0.8266 data_time: 0.0341 memory: 25127 loss_text: 0.0695 loss_kernel: 0.0369 loss: 0.1064 2022/08/25 23:44:17 - mmengine - INFO - Epoch(train) [38][20/63] lr: 1.0000e-04 eta: 21:44:06 time: 0.8451 data_time: 0.0292 memory: 25127 loss_text: 0.0779 loss_kernel: 0.0406 loss: 0.1186 2022/08/25 23:44:21 - mmengine - INFO - Epoch(train) [38][25/63] lr: 1.0000e-04 eta: 21:44:06 time: 0.8713 data_time: 0.0442 memory: 25127 loss_text: 0.0879 loss_kernel: 0.0442 loss: 0.1322 2022/08/25 23:44:25 - mmengine - INFO - Epoch(train) [38][30/63] lr: 1.0000e-04 eta: 21:40:16 time: 0.8223 data_time: 0.0231 memory: 25127 loss_text: 0.0751 loss_kernel: 0.0384 loss: 0.1135 2022/08/25 23:44:30 - mmengine - INFO - Epoch(train) [38][35/63] lr: 1.0000e-04 eta: 21:40:16 time: 0.8344 data_time: 0.0250 memory: 25127 loss_text: 0.0660 loss_kernel: 0.0354 loss: 0.1014 2022/08/25 23:44:34 - mmengine - INFO - Epoch(train) [38][40/63] lr: 1.0000e-04 eta: 21:36:30 time: 0.8325 data_time: 0.0336 memory: 25127 loss_text: 0.0703 loss_kernel: 0.0377 loss: 0.1081 2022/08/25 23:44:38 - mmengine - INFO - Epoch(train) [38][45/63] lr: 1.0000e-04 eta: 21:36:30 time: 0.8132 data_time: 0.0246 memory: 25127 loss_text: 0.0761 loss_kernel: 0.0388 loss: 0.1149 2022/08/25 23:44:42 - mmengine - INFO - Epoch(train) [38][50/63] lr: 1.0000e-04 eta: 21:32:42 time: 0.8136 data_time: 0.0325 memory: 25127 loss_text: 0.0720 loss_kernel: 0.0367 loss: 0.1087 2022/08/25 23:44:46 - mmengine - INFO - Epoch(train) [38][55/63] lr: 1.0000e-04 eta: 21:32:42 time: 0.8013 data_time: 0.0306 memory: 25127 loss_text: 0.0678 loss_kernel: 0.0350 loss: 0.1028 2022/08/25 23:44:51 - mmengine - INFO - Epoch(train) [38][60/63] lr: 1.0000e-04 eta: 21:29:13 time: 0.9248 data_time: 0.0231 memory: 25127 loss_text: 0.0680 loss_kernel: 0.0350 loss: 0.1029 2022/08/25 23:44:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:46:23 - mmengine - INFO - Epoch(train) [39][5/63] lr: 1.0000e-04 eta: 21:29:13 time: 9.3008 data_time: 8.4984 memory: 25127 loss_text: 0.0707 loss_kernel: 0.0370 loss: 0.1078 2022/08/25 23:46:27 - mmengine - INFO - Epoch(train) [39][10/63] lr: 1.0000e-04 eta: 21:44:44 time: 9.3534 data_time: 8.5120 memory: 25127 loss_text: 0.0699 loss_kernel: 0.0368 loss: 0.1067 2022/08/25 23:46:31 - mmengine - INFO - Epoch(train) [39][15/63] lr: 1.0000e-04 eta: 21:44:44 time: 0.8604 data_time: 0.0263 memory: 25127 loss_text: 0.0726 loss_kernel: 0.0384 loss: 0.1110 2022/08/25 23:46:35 - mmengine - INFO - Epoch(train) [39][20/63] lr: 1.0000e-04 eta: 21:41:04 time: 0.8674 data_time: 0.0184 memory: 25127 loss_text: 0.0651 loss_kernel: 0.0380 loss: 0.1031 2022/08/25 23:46:40 - mmengine - INFO - Epoch(train) [39][25/63] lr: 1.0000e-04 eta: 21:41:04 time: 0.8795 data_time: 0.0372 memory: 25127 loss_text: 0.0667 loss_kernel: 0.0376 loss: 0.1044 2022/08/25 23:46:44 - mmengine - INFO - Epoch(train) [39][30/63] lr: 1.0000e-04 eta: 21:37:27 time: 0.8670 data_time: 0.0330 memory: 25127 loss_text: 0.0746 loss_kernel: 0.0396 loss: 0.1142 2022/08/25 23:46:48 - mmengine - INFO - Epoch(train) [39][35/63] lr: 1.0000e-04 eta: 21:37:27 time: 0.8486 data_time: 0.0246 memory: 25127 loss_text: 0.0672 loss_kernel: 0.0362 loss: 0.1034 2022/08/25 23:46:53 - mmengine - INFO - Epoch(train) [39][40/63] lr: 1.0000e-04 eta: 21:33:50 time: 0.8618 data_time: 0.0307 memory: 25127 loss_text: 0.0588 loss_kernel: 0.0327 loss: 0.0915 2022/08/25 23:46:57 - mmengine - INFO - Epoch(train) [39][45/63] lr: 1.0000e-04 eta: 21:33:50 time: 0.8665 data_time: 0.0304 memory: 25127 loss_text: 0.0566 loss_kernel: 0.0309 loss: 0.0876 2022/08/25 23:47:01 - mmengine - INFO - Epoch(train) [39][50/63] lr: 1.0000e-04 eta: 21:30:17 time: 0.8683 data_time: 0.0337 memory: 25127 loss_text: 0.0613 loss_kernel: 0.0322 loss: 0.0936 2022/08/25 23:47:06 - mmengine - INFO - Epoch(train) [39][55/63] lr: 1.0000e-04 eta: 21:30:17 time: 0.8494 data_time: 0.0297 memory: 25127 loss_text: 0.0621 loss_kernel: 0.0335 loss: 0.0955 2022/08/25 23:47:10 - mmengine - INFO - Epoch(train) [39][60/63] lr: 1.0000e-04 eta: 21:26:40 time: 0.8377 data_time: 0.0233 memory: 25127 loss_text: 0.0640 loss_kernel: 0.0365 loss: 0.1005 2022/08/25 23:47:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:48:39 - mmengine - INFO - Epoch(train) [40][5/63] lr: 1.0000e-04 eta: 21:26:40 time: 9.1095 data_time: 8.2867 memory: 25127 loss_text: 0.0695 loss_kernel: 0.0390 loss: 0.1085 2022/08/25 23:48:44 - mmengine - INFO - Epoch(train) [40][10/63] lr: 1.0000e-04 eta: 21:41:22 time: 9.1969 data_time: 8.3299 memory: 25127 loss_text: 0.0603 loss_kernel: 0.0352 loss: 0.0955 2022/08/25 23:48:48 - mmengine - INFO - Epoch(train) [40][15/63] lr: 1.0000e-04 eta: 21:41:22 time: 0.8866 data_time: 0.0588 memory: 25127 loss_text: 0.0640 loss_kernel: 0.0343 loss: 0.0984 2022/08/25 23:48:52 - mmengine - INFO - Epoch(train) [40][20/63] lr: 1.0000e-04 eta: 21:37:45 time: 0.8411 data_time: 0.0179 memory: 25127 loss_text: 0.0641 loss_kernel: 0.0343 loss: 0.0985 2022/08/25 23:48:57 - mmengine - INFO - Epoch(train) [40][25/63] lr: 1.0000e-04 eta: 21:37:45 time: 0.8714 data_time: 0.0320 memory: 25127 loss_text: 0.0691 loss_kernel: 0.0373 loss: 0.1064 2022/08/25 23:49:01 - mmengine - INFO - Epoch(train) [40][30/63] lr: 1.0000e-04 eta: 21:34:20 time: 0.9141 data_time: 0.0504 memory: 25127 loss_text: 0.0655 loss_kernel: 0.0359 loss: 0.1014 2022/08/25 23:49:06 - mmengine - INFO - Epoch(train) [40][35/63] lr: 1.0000e-04 eta: 21:34:20 time: 0.8764 data_time: 0.0366 memory: 25127 loss_text: 0.0612 loss_kernel: 0.0346 loss: 0.0957 2022/08/25 23:49:10 - mmengine - INFO - Epoch(train) [40][40/63] lr: 1.0000e-04 eta: 21:30:47 time: 0.8495 data_time: 0.0231 memory: 25127 loss_text: 0.0624 loss_kernel: 0.0354 loss: 0.0978 2022/08/25 23:49:14 - mmengine - INFO - Epoch(train) [40][45/63] lr: 1.0000e-04 eta: 21:30:47 time: 0.8608 data_time: 0.0279 memory: 25127 loss_text: 0.0536 loss_kernel: 0.0317 loss: 0.0853 2022/08/25 23:49:19 - mmengine - INFO - Epoch(train) [40][50/63] lr: 1.0000e-04 eta: 21:27:17 time: 0.8609 data_time: 0.0319 memory: 25127 loss_text: 0.0579 loss_kernel: 0.0331 loss: 0.0910 2022/08/25 23:49:23 - mmengine - INFO - Epoch(train) [40][55/63] lr: 1.0000e-04 eta: 21:27:17 time: 0.8771 data_time: 0.0322 memory: 25127 loss_text: 0.0747 loss_kernel: 0.0409 loss: 0.1156 2022/08/25 23:49:27 - mmengine - INFO - Epoch(train) [40][60/63] lr: 1.0000e-04 eta: 21:23:48 time: 0.8529 data_time: 0.0234 memory: 25127 loss_text: 0.0754 loss_kernel: 0.0410 loss: 0.1164 2022/08/25 23:49:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:49:29 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/25 23:50:31 - mmengine - INFO - Epoch(val) [40][5/500] eta: 21:23:48 time: 11.2250 data_time: 4.6924 memory: 34627 2022/08/25 23:50:57 - mmengine - INFO - Epoch(val) [40][10/500] eta: 1:06:41 time: 8.1673 data_time: 2.3480 memory: 34632 2022/08/25 23:51:21 - mmengine - INFO - Epoch(val) [40][15/500] eta: 1:06:41 time: 5.0195 data_time: 0.0332 memory: 34585 2022/08/25 23:51:30 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:26:58 time: 3.3716 data_time: 0.0324 memory: 34559 2022/08/25 23:51:39 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:26:58 time: 1.7327 data_time: 0.0019 memory: 34570 2022/08/25 23:51:47 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:13:21 time: 1.7048 data_time: 0.0128 memory: 34564 2022/08/25 23:51:48 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:13:21 time: 0.9045 data_time: 0.0142 memory: 1700 2022/08/25 23:51:55 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:05:55 time: 0.7733 data_time: 0.0032 memory: 34585 2022/08/25 23:51:55 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:05:55 time: 0.7702 data_time: 0.0018 memory: 2076 2022/08/25 23:52:12 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:12:25 time: 1.6566 data_time: 0.0020 memory: 34596 2022/08/25 23:52:29 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:12:25 time: 3.3310 data_time: 0.0034 memory: 34590 2022/08/25 23:52:29 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:12:54 time: 1.7593 data_time: 0.0086 memory: 1700 2022/08/25 23:52:37 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:12:54 time: 0.8507 data_time: 0.0084 memory: 34522 2022/08/25 23:52:37 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:05:47 time: 0.8090 data_time: 0.0031 memory: 2076 2022/08/25 23:52:45 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:05:47 time: 0.8087 data_time: 0.0018 memory: 34538 2022/08/25 23:52:45 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:05:39 time: 0.8082 data_time: 0.0028 memory: 1700 2022/08/25 23:53:10 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:05:39 time: 2.4854 data_time: 0.0029 memory: 34560 2022/08/25 23:53:19 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:22:38 time: 3.3132 data_time: 0.0125 memory: 34617 2022/08/25 23:53:43 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:22:38 time: 3.3136 data_time: 0.0126 memory: 34554 2022/08/25 23:53:44 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:16:39 time: 2.4988 data_time: 0.0128 memory: 2076 2022/08/25 23:53:44 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:16:39 time: 0.0537 data_time: 0.0126 memory: 1700 2022/08/25 23:54:01 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:11:13 time: 1.7267 data_time: 0.0018 memory: 34612 2022/08/25 23:54:01 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:11:13 time: 1.7304 data_time: 0.0020 memory: 1700 2022/08/25 23:54:01 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:20 time: 0.0547 data_time: 0.0023 memory: 1700 2022/08/25 23:54:02 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:20 time: 0.0601 data_time: 0.0035 memory: 2076 2022/08/25 23:54:02 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:00:17 time: 0.0476 data_time: 0.0030 memory: 1700 2022/08/25 23:54:02 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:00:17 time: 0.0405 data_time: 0.0017 memory: 1850 2022/08/25 23:54:02 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:15 time: 0.0444 data_time: 0.0017 memory: 1700 2022/08/25 23:54:18 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:15 time: 1.6166 data_time: 0.0018 memory: 34627 2022/08/25 23:54:19 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:09:26 time: 1.6198 data_time: 0.0063 memory: 1700 2022/08/25 23:54:26 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:09:26 time: 0.8189 data_time: 0.0062 memory: 34590 2022/08/25 23:54:27 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:04:37 time: 0.8152 data_time: 0.0018 memory: 2076 2022/08/25 23:54:27 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:04:37 time: 0.0908 data_time: 0.0024 memory: 1775 2022/08/25 23:54:35 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:04:34 time: 0.8330 data_time: 0.0025 memory: 34596 2022/08/25 23:54:35 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:04:34 time: 0.7816 data_time: 0.0019 memory: 2076 2022/08/25 23:54:35 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:12 time: 0.0389 data_time: 0.0018 memory: 2076 2022/08/25 23:54:36 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:12 time: 0.0404 data_time: 0.0017 memory: 1700 2022/08/25 23:54:36 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:00:12 time: 0.0405 data_time: 0.0016 memory: 1813 2022/08/25 23:54:36 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:00:12 time: 0.0390 data_time: 0.0016 memory: 1775 2022/08/25 23:54:36 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:00:11 time: 0.0368 data_time: 0.0016 memory: 1775 2022/08/25 23:54:44 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:00:11 time: 0.7650 data_time: 0.0018 memory: 34507 2022/08/25 23:54:44 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:03:42 time: 0.7674 data_time: 0.0019 memory: 2076 2022/08/25 23:54:44 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:03:42 time: 0.0397 data_time: 0.0017 memory: 1700 2022/08/25 23:54:52 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:03:42 time: 0.7944 data_time: 0.0017 memory: 34528 2022/08/25 23:54:52 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:03:42 time: 0.7968 data_time: 0.0023 memory: 2076 2022/08/25 23:55:00 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:03:51 time: 0.8591 data_time: 0.0023 memory: 34569 2022/08/25 23:55:01 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:03:51 time: 0.8608 data_time: 0.0018 memory: 2076 2022/08/25 23:55:01 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:11 time: 0.0458 data_time: 0.0017 memory: 2076 2022/08/25 23:55:01 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:11 time: 0.0442 data_time: 0.0017 memory: 2076 2022/08/25 23:55:01 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:10 time: 0.0406 data_time: 0.0016 memory: 1700 2022/08/25 23:55:18 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:10 time: 1.6444 data_time: 0.0019 memory: 34575 2022/08/25 23:55:18 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:06:37 time: 1.6547 data_time: 0.0117 memory: 1700 2022/08/25 23:55:42 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:06:37 time: 2.4372 data_time: 0.0116 memory: 34622 2022/08/25 23:55:42 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:09:18 time: 2.4288 data_time: 0.0026 memory: 1926 2022/08/25 23:55:42 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:09:18 time: 0.0490 data_time: 0.0024 memory: 2076 2022/08/25 23:55:43 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:00:10 time: 0.0462 data_time: 0.0018 memory: 2001 2022/08/25 23:55:43 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:00:10 time: 0.0408 data_time: 0.0018 memory: 1700 2022/08/25 23:55:50 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:02:45 time: 0.7891 data_time: 0.0019 memory: 34606 2022/08/25 23:55:51 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:02:45 time: 0.7866 data_time: 0.0019 memory: 1813 2022/08/25 23:55:51 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:07 time: 0.0400 data_time: 0.0017 memory: 1737 2022/08/25 23:55:51 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:07 time: 0.0362 data_time: 0.0016 memory: 1700 2022/08/25 23:55:51 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:06 time: 0.0358 data_time: 0.0016 memory: 1775 2022/08/25 23:55:51 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:06 time: 0.0426 data_time: 0.0017 memory: 2001 2022/08/25 23:55:52 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:08 time: 0.0446 data_time: 0.0016 memory: 2001 2022/08/25 23:55:52 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:08 time: 0.0424 data_time: 0.0016 memory: 2076 2022/08/25 23:55:52 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:07 time: 0.0452 data_time: 0.0018 memory: 1737 2022/08/25 23:55:52 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:07 time: 0.0473 data_time: 0.0019 memory: 1926 2022/08/25 23:55:53 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:07 time: 0.0438 data_time: 0.0017 memory: 2039 2022/08/25 23:55:53 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:07 time: 0.0389 data_time: 0.0017 memory: 1926 2022/08/25 23:55:53 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:06 time: 0.0442 data_time: 0.0016 memory: 1701 2022/08/25 23:55:53 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:06 time: 0.0552 data_time: 0.0017 memory: 2039 2022/08/25 23:55:53 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:06 time: 0.0460 data_time: 0.0017 memory: 1737 2022/08/25 23:56:01 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:06 time: 0.7560 data_time: 0.0017 memory: 34501 2022/08/25 23:56:01 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:01:38 time: 0.7574 data_time: 0.0017 memory: 1813 2022/08/25 23:56:01 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:01:38 time: 0.0353 data_time: 0.0016 memory: 1700 2022/08/25 23:56:01 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:05 time: 0.0465 data_time: 0.0017 memory: 2039 2022/08/25 23:56:02 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:05 time: 0.0613 data_time: 0.0040 memory: 2039 2022/08/25 23:56:02 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:05 time: 0.0542 data_time: 0.0039 memory: 2076 2022/08/25 23:56:02 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:05 time: 0.0539 data_time: 0.0017 memory: 1700 2022/08/25 23:56:03 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:05 time: 0.0569 data_time: 0.0028 memory: 2039 2022/08/25 23:56:03 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:05 time: 0.0437 data_time: 0.0029 memory: 2039 2022/08/25 23:56:03 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:03 time: 0.0396 data_time: 0.0019 memory: 1814 2022/08/25 23:56:03 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:03 time: 0.0440 data_time: 0.0019 memory: 1700 2022/08/25 23:56:04 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:04 time: 0.0594 data_time: 0.0019 memory: 2001 2022/08/25 23:56:04 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:04 time: 0.0604 data_time: 0.0017 memory: 1701 2022/08/25 23:56:04 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:03 time: 0.0433 data_time: 0.0017 memory: 2076 2022/08/25 23:56:04 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:03 time: 0.0397 data_time: 0.0016 memory: 1700 2022/08/25 23:56:04 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:02 time: 0.0389 data_time: 0.0016 memory: 1850 2022/08/25 23:56:05 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:02 time: 0.0396 data_time: 0.0017 memory: 2001 2022/08/25 23:56:05 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:02 time: 0.0481 data_time: 0.0017 memory: 1700 2022/08/25 23:56:05 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:02 time: 0.0637 data_time: 0.0017 memory: 2076 2022/08/25 23:56:06 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:02 time: 0.0645 data_time: 0.0064 memory: 1775 2022/08/25 23:56:06 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:02 time: 0.0484 data_time: 0.0064 memory: 1963 2022/08/25 23:56:06 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:01 time: 0.0387 data_time: 0.0017 memory: 1775 2022/08/25 23:56:06 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:01 time: 0.0403 data_time: 0.0017 memory: 2076 2022/08/25 23:56:06 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:00 time: 0.0412 data_time: 0.0017 memory: 2039 2022/08/25 23:56:07 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:00 time: 0.0389 data_time: 0.0017 memory: 1700 2022/08/25 23:56:07 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0363 data_time: 0.0017 memory: 1963 2022/08/25 23:56:07 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0402 data_time: 0.0019 memory: 2076 2022/08/25 23:56:07 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.0584 data_time: 0.0097 memory: 1737 2022/08/25 23:56:07 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 23:56:07 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7769, precision: 0.5406, hmean: 0.6376 2022/08/25 23:56:07 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7769, precision: 0.5406, hmean: 0.6376 2022/08/25 23:56:07 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7769, precision: 0.5406, hmean: 0.6376 2022/08/25 23:56:07 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7769, precision: 0.5751, hmean: 0.6609 2022/08/25 23:56:07 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7763, precision: 0.6469, hmean: 0.7057 2022/08/25 23:56:07 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7672, precision: 0.7159, hmean: 0.7407 2022/08/25 23:56:07 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7047, precision: 0.8268, hmean: 0.7609 2022/08/25 23:56:07 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.8268 icdar/recall: 0.7047 icdar/hmean: 0.7609 2022/08/25 23:57:35 - mmengine - INFO - Epoch(train) [41][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 9.0977 data_time: 8.3181 memory: 25127 loss_text: 0.0562 loss_kernel: 0.0333 loss: 0.0895 2022/08/25 23:57:39 - mmengine - INFO - Epoch(train) [41][10/63] lr: 1.0000e-04 eta: 21:38:00 time: 9.1519 data_time: 8.3283 memory: 25127 loss_text: 0.0634 loss_kernel: 0.0364 loss: 0.0998 2022/08/25 23:57:43 - mmengine - INFO - Epoch(train) [41][15/63] lr: 1.0000e-04 eta: 21:38:00 time: 0.8246 data_time: 0.0276 memory: 25127 loss_text: 0.0711 loss_kernel: 0.0396 loss: 0.1107 2022/08/25 23:57:48 - mmengine - INFO - Epoch(train) [41][20/63] lr: 1.0000e-04 eta: 21:34:27 time: 0.8326 data_time: 0.0182 memory: 25127 loss_text: 0.0619 loss_kernel: 0.0337 loss: 0.0956 2022/08/25 23:57:52 - mmengine - INFO - Epoch(train) [41][25/63] lr: 1.0000e-04 eta: 21:34:27 time: 0.9000 data_time: 0.0620 memory: 25127 loss_text: 0.0641 loss_kernel: 0.0349 loss: 0.0990 2022/08/25 23:57:56 - mmengine - INFO - Epoch(train) [41][30/63] lr: 1.0000e-04 eta: 21:31:03 time: 0.8863 data_time: 0.0705 memory: 25127 loss_text: 0.0689 loss_kernel: 0.0386 loss: 0.1074 2022/08/25 23:58:00 - mmengine - INFO - Epoch(train) [41][35/63] lr: 1.0000e-04 eta: 21:31:03 time: 0.8425 data_time: 0.0315 memory: 25127 loss_text: 0.0668 loss_kernel: 0.0367 loss: 0.1035 2022/08/25 23:58:05 - mmengine - INFO - Epoch(train) [41][40/63] lr: 1.0000e-04 eta: 21:27:33 time: 0.8328 data_time: 0.0258 memory: 25127 loss_text: 0.0673 loss_kernel: 0.0363 loss: 0.1036 2022/08/25 23:58:09 - mmengine - INFO - Epoch(train) [41][45/63] lr: 1.0000e-04 eta: 21:27:33 time: 0.8744 data_time: 0.0342 memory: 25127 loss_text: 0.0681 loss_kernel: 0.0369 loss: 0.1050 2022/08/25 23:58:13 - mmengine - INFO - Epoch(train) [41][50/63] lr: 1.0000e-04 eta: 21:24:11 time: 0.8754 data_time: 0.0291 memory: 25127 loss_text: 0.0669 loss_kernel: 0.0357 loss: 0.1026 2022/08/25 23:58:18 - mmengine - INFO - Epoch(train) [41][55/63] lr: 1.0000e-04 eta: 21:24:11 time: 0.8533 data_time: 0.0265 memory: 25127 loss_text: 0.0636 loss_kernel: 0.0354 loss: 0.0990 2022/08/25 23:58:22 - mmengine - INFO - Epoch(train) [41][60/63] lr: 1.0000e-04 eta: 21:20:46 time: 0.8517 data_time: 0.0279 memory: 25127 loss_text: 0.0634 loss_kernel: 0.0362 loss: 0.0996 2022/08/25 23:58:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/25 23:59:51 - mmengine - INFO - Epoch(train) [42][5/63] lr: 1.0000e-04 eta: 21:20:46 time: 9.0816 data_time: 8.2714 memory: 25127 loss_text: 0.0623 loss_kernel: 0.0353 loss: 0.0976 2022/08/25 23:59:56 - mmengine - INFO - Epoch(train) [42][10/63] lr: 1.0000e-04 eta: 21:34:36 time: 9.1548 data_time: 8.2874 memory: 25127 loss_text: 0.0576 loss_kernel: 0.0324 loss: 0.0900 2022/08/26 00:00:11 - mmengine - INFO - Epoch(train) [42][15/63] lr: 1.0000e-04 eta: 21:34:36 time: 1.9480 data_time: 0.0331 memory: 25127 loss_text: 0.0638 loss_kernel: 0.0353 loss: 0.0991 2022/08/26 00:00:15 - mmengine - INFO - Epoch(train) [42][20/63] lr: 1.0000e-04 eta: 21:33:41 time: 1.9649 data_time: 0.0375 memory: 25127 loss_text: 0.0652 loss_kernel: 0.0370 loss: 0.1022 2022/08/26 00:00:19 - mmengine - INFO - Epoch(train) [42][25/63] lr: 1.0000e-04 eta: 21:33:41 time: 0.8854 data_time: 0.0400 memory: 25127 loss_text: 0.0601 loss_kernel: 0.0343 loss: 0.0944 2022/08/26 00:00:24 - mmengine - INFO - Epoch(train) [42][30/63] lr: 1.0000e-04 eta: 21:30:21 time: 0.8848 data_time: 0.0243 memory: 25127 loss_text: 0.0586 loss_kernel: 0.0329 loss: 0.0915 2022/08/26 00:00:29 - mmengine - INFO - Epoch(train) [42][35/63] lr: 1.0000e-04 eta: 21:30:21 time: 0.9124 data_time: 0.0368 memory: 25127 loss_text: 0.0612 loss_kernel: 0.0353 loss: 0.0965 2022/08/26 00:00:33 - mmengine - INFO - Epoch(train) [42][40/63] lr: 1.0000e-04 eta: 21:26:59 time: 0.8590 data_time: 0.0379 memory: 25127 loss_text: 0.0646 loss_kernel: 0.0368 loss: 0.1014 2022/08/26 00:00:37 - mmengine - INFO - Epoch(train) [42][45/63] lr: 1.0000e-04 eta: 21:26:59 time: 0.8295 data_time: 0.0236 memory: 25127 loss_text: 0.0574 loss_kernel: 0.0332 loss: 0.0906 2022/08/26 00:00:41 - mmengine - INFO - Epoch(train) [42][50/63] lr: 1.0000e-04 eta: 21:23:38 time: 0.8496 data_time: 0.0348 memory: 25127 loss_text: 0.0501 loss_kernel: 0.0303 loss: 0.0804 2022/08/26 00:00:46 - mmengine - INFO - Epoch(train) [42][55/63] lr: 1.0000e-04 eta: 21:23:38 time: 0.8740 data_time: 0.0328 memory: 25127 loss_text: 0.0576 loss_kernel: 0.0340 loss: 0.0916 2022/08/26 00:00:50 - mmengine - INFO - Epoch(train) [42][60/63] lr: 1.0000e-04 eta: 21:20:25 time: 0.9027 data_time: 0.0387 memory: 25127 loss_text: 0.0634 loss_kernel: 0.0354 loss: 0.0988 2022/08/26 00:00:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:02:20 - mmengine - INFO - Epoch(train) [43][5/63] lr: 1.0000e-04 eta: 21:20:25 time: 9.1337 data_time: 8.3290 memory: 25127 loss_text: 0.0649 loss_kernel: 0.0370 loss: 0.1019 2022/08/26 00:02:24 - mmengine - INFO - Epoch(train) [43][10/63] lr: 1.0000e-04 eta: 21:33:53 time: 9.1680 data_time: 8.3299 memory: 25127 loss_text: 0.0618 loss_kernel: 0.0366 loss: 0.0985 2022/08/26 00:02:29 - mmengine - INFO - Epoch(train) [43][15/63] lr: 1.0000e-04 eta: 21:33:53 time: 0.8689 data_time: 0.0403 memory: 25127 loss_text: 0.0524 loss_kernel: 0.0314 loss: 0.0837 2022/08/26 00:02:33 - mmengine - INFO - Epoch(train) [43][20/63] lr: 1.0000e-04 eta: 21:30:37 time: 0.8843 data_time: 0.0476 memory: 25127 loss_text: 0.0521 loss_kernel: 0.0312 loss: 0.0834 2022/08/26 00:02:37 - mmengine - INFO - Epoch(train) [43][25/63] lr: 1.0000e-04 eta: 21:30:37 time: 0.8640 data_time: 0.0241 memory: 25127 loss_text: 0.0611 loss_kernel: 0.0340 loss: 0.0951 2022/08/26 00:02:42 - mmengine - INFO - Epoch(train) [43][30/63] lr: 1.0000e-04 eta: 21:27:20 time: 0.8691 data_time: 0.0247 memory: 25127 loss_text: 0.0673 loss_kernel: 0.0377 loss: 0.1050 2022/08/26 00:02:46 - mmengine - INFO - Epoch(train) [43][35/63] lr: 1.0000e-04 eta: 21:27:20 time: 0.8899 data_time: 0.0336 memory: 25127 loss_text: 0.0719 loss_kernel: 0.0401 loss: 0.1120 2022/08/26 00:02:51 - mmengine - INFO - Epoch(train) [43][40/63] lr: 1.0000e-04 eta: 21:24:07 time: 0.8953 data_time: 0.0245 memory: 25127 loss_text: 0.0737 loss_kernel: 0.0387 loss: 0.1124 2022/08/26 00:02:55 - mmengine - INFO - Epoch(train) [43][45/63] lr: 1.0000e-04 eta: 21:24:07 time: 0.8653 data_time: 0.0234 memory: 25127 loss_text: 0.0652 loss_kernel: 0.0354 loss: 0.1006 2022/08/26 00:02:59 - mmengine - INFO - Epoch(train) [43][50/63] lr: 1.0000e-04 eta: 21:20:51 time: 0.8595 data_time: 0.0244 memory: 25127 loss_text: 0.0634 loss_kernel: 0.0344 loss: 0.0977 2022/08/26 00:03:04 - mmengine - INFO - Epoch(train) [43][55/63] lr: 1.0000e-04 eta: 21:20:51 time: 0.8713 data_time: 0.0256 memory: 25127 loss_text: 0.0632 loss_kernel: 0.0342 loss: 0.0974 2022/08/26 00:03:08 - mmengine - INFO - Epoch(train) [43][60/63] lr: 1.0000e-04 eta: 21:17:37 time: 0.8627 data_time: 0.0351 memory: 25127 loss_text: 0.0588 loss_kernel: 0.0322 loss: 0.0910 2022/08/26 00:03:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:04:37 - mmengine - INFO - Epoch(train) [44][5/63] lr: 1.0000e-04 eta: 21:17:37 time: 9.0872 data_time: 8.2973 memory: 25127 loss_text: 0.0586 loss_kernel: 0.0338 loss: 0.0924 2022/08/26 00:04:41 - mmengine - INFO - Epoch(train) [44][10/63] lr: 1.0000e-04 eta: 21:30:39 time: 9.1164 data_time: 8.3074 memory: 25127 loss_text: 0.0557 loss_kernel: 0.0350 loss: 0.0906 2022/08/26 00:04:46 - mmengine - INFO - Epoch(train) [44][15/63] lr: 1.0000e-04 eta: 21:30:39 time: 0.8358 data_time: 0.0338 memory: 25127 loss_text: 0.0605 loss_kernel: 0.0343 loss: 0.0948 2022/08/26 00:04:50 - mmengine - INFO - Epoch(train) [44][20/63] lr: 1.0000e-04 eta: 21:27:26 time: 0.8775 data_time: 0.0345 memory: 25127 loss_text: 0.0598 loss_kernel: 0.0327 loss: 0.0925 2022/08/26 00:04:54 - mmengine - INFO - Epoch(train) [44][25/63] lr: 1.0000e-04 eta: 21:27:26 time: 0.8580 data_time: 0.0304 memory: 25127 loss_text: 0.0555 loss_kernel: 0.0321 loss: 0.0876 2022/08/26 00:04:59 - mmengine - INFO - Epoch(train) [44][30/63] lr: 1.0000e-04 eta: 21:24:12 time: 0.8630 data_time: 0.0369 memory: 25127 loss_text: 0.0558 loss_kernel: 0.0328 loss: 0.0886 2022/08/26 00:05:03 - mmengine - INFO - Epoch(train) [44][35/63] lr: 1.0000e-04 eta: 21:24:12 time: 0.8666 data_time: 0.0367 memory: 25127 loss_text: 0.0613 loss_kernel: 0.0343 loss: 0.0956 2022/08/26 00:05:07 - mmengine - INFO - Epoch(train) [44][40/63] lr: 1.0000e-04 eta: 21:20:52 time: 0.7997 data_time: 0.0248 memory: 25127 loss_text: 0.0657 loss_kernel: 0.0356 loss: 0.1012 2022/08/26 00:05:11 - mmengine - INFO - Epoch(train) [44][45/63] lr: 1.0000e-04 eta: 21:20:52 time: 0.8437 data_time: 0.0440 memory: 25127 loss_text: 0.0650 loss_kernel: 0.0360 loss: 0.1011 2022/08/26 00:05:15 - mmengine - INFO - Epoch(train) [44][50/63] lr: 1.0000e-04 eta: 21:17:40 time: 0.8499 data_time: 0.0393 memory: 25127 loss_text: 0.0600 loss_kernel: 0.0354 loss: 0.0954 2022/08/26 00:05:20 - mmengine - INFO - Epoch(train) [44][55/63] lr: 1.0000e-04 eta: 21:17:40 time: 0.8545 data_time: 0.0261 memory: 25127 loss_text: 0.0577 loss_kernel: 0.0334 loss: 0.0911 2022/08/26 00:05:24 - mmengine - INFO - Epoch(train) [44][60/63] lr: 1.0000e-04 eta: 21:14:31 time: 0.8668 data_time: 0.0273 memory: 25127 loss_text: 0.0565 loss_kernel: 0.0330 loss: 0.0895 2022/08/26 00:05:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:06:55 - mmengine - INFO - Epoch(train) [45][5/63] lr: 1.0000e-04 eta: 21:14:31 time: 9.2532 data_time: 8.4775 memory: 25127 loss_text: 0.0577 loss_kernel: 0.0310 loss: 0.0887 2022/08/26 00:06:59 - mmengine - INFO - Epoch(train) [45][10/63] lr: 1.0000e-04 eta: 21:27:37 time: 9.3105 data_time: 8.4903 memory: 25127 loss_text: 0.0582 loss_kernel: 0.0322 loss: 0.0905 2022/08/26 00:07:03 - mmengine - INFO - Epoch(train) [45][15/63] lr: 1.0000e-04 eta: 21:27:37 time: 0.8605 data_time: 0.0271 memory: 25127 loss_text: 0.0604 loss_kernel: 0.0340 loss: 0.0944 2022/08/26 00:07:08 - mmengine - INFO - Epoch(train) [45][20/63] lr: 1.0000e-04 eta: 21:24:26 time: 0.8559 data_time: 0.0271 memory: 25127 loss_text: 0.0625 loss_kernel: 0.0339 loss: 0.0964 2022/08/26 00:07:12 - mmengine - INFO - Epoch(train) [45][25/63] lr: 1.0000e-04 eta: 21:24:26 time: 0.8550 data_time: 0.0412 memory: 25127 loss_text: 0.0634 loss_kernel: 0.0346 loss: 0.0980 2022/08/26 00:07:16 - mmengine - INFO - Epoch(train) [45][30/63] lr: 1.0000e-04 eta: 21:21:16 time: 0.8621 data_time: 0.0263 memory: 25127 loss_text: 0.0643 loss_kernel: 0.0353 loss: 0.0996 2022/08/26 00:07:21 - mmengine - INFO - Epoch(train) [45][35/63] lr: 1.0000e-04 eta: 21:21:16 time: 0.8689 data_time: 0.0267 memory: 25127 loss_text: 0.0617 loss_kernel: 0.0346 loss: 0.0963 2022/08/26 00:07:25 - mmengine - INFO - Epoch(train) [45][40/63] lr: 1.0000e-04 eta: 21:18:08 time: 0.8612 data_time: 0.0304 memory: 25127 loss_text: 0.0570 loss_kernel: 0.0337 loss: 0.0907 2022/08/26 00:07:30 - mmengine - INFO - Epoch(train) [45][45/63] lr: 1.0000e-04 eta: 21:18:08 time: 0.8788 data_time: 0.0306 memory: 25127 loss_text: 0.0518 loss_kernel: 0.0318 loss: 0.0836 2022/08/26 00:07:34 - mmengine - INFO - Epoch(train) [45][50/63] lr: 1.0000e-04 eta: 21:15:03 time: 0.8699 data_time: 0.0359 memory: 25127 loss_text: 0.0553 loss_kernel: 0.0324 loss: 0.0877 2022/08/26 00:07:38 - mmengine - INFO - Epoch(train) [45][55/63] lr: 1.0000e-04 eta: 21:15:03 time: 0.8577 data_time: 0.0266 memory: 25127 loss_text: 0.0592 loss_kernel: 0.0341 loss: 0.0933 2022/08/26 00:07:43 - mmengine - INFO - Epoch(train) [45][60/63] lr: 1.0000e-04 eta: 21:12:03 time: 0.9079 data_time: 0.0243 memory: 25127 loss_text: 0.0702 loss_kernel: 0.0388 loss: 0.1090 2022/08/26 00:07:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:09:12 - mmengine - INFO - Epoch(train) [46][5/63] lr: 1.0000e-04 eta: 21:12:03 time: 9.0671 data_time: 8.2453 memory: 25127 loss_text: 0.0597 loss_kernel: 0.0345 loss: 0.0942 2022/08/26 00:09:16 - mmengine - INFO - Epoch(train) [46][10/63] lr: 1.0000e-04 eta: 21:24:27 time: 9.1302 data_time: 8.2694 memory: 25127 loss_text: 0.0567 loss_kernel: 0.0333 loss: 0.0900 2022/08/26 00:09:20 - mmengine - INFO - Epoch(train) [46][15/63] lr: 1.0000e-04 eta: 21:24:27 time: 0.8447 data_time: 0.0342 memory: 25127 loss_text: 0.0529 loss_kernel: 0.0311 loss: 0.0840 2022/08/26 00:09:24 - mmengine - INFO - Epoch(train) [46][20/63] lr: 1.0000e-04 eta: 21:21:16 time: 0.8209 data_time: 0.0184 memory: 25127 loss_text: 0.0552 loss_kernel: 0.0332 loss: 0.0884 2022/08/26 00:09:29 - mmengine - INFO - Epoch(train) [46][25/63] lr: 1.0000e-04 eta: 21:21:16 time: 0.8564 data_time: 0.0337 memory: 25127 loss_text: 0.0593 loss_kernel: 0.0344 loss: 0.0936 2022/08/26 00:09:33 - mmengine - INFO - Epoch(train) [46][30/63] lr: 1.0000e-04 eta: 21:18:14 time: 0.8847 data_time: 0.0324 memory: 25127 loss_text: 0.0579 loss_kernel: 0.0332 loss: 0.0911 2022/08/26 00:09:37 - mmengine - INFO - Epoch(train) [46][35/63] lr: 1.0000e-04 eta: 21:18:14 time: 0.8508 data_time: 0.0234 memory: 25127 loss_text: 0.0579 loss_kernel: 0.0331 loss: 0.0910 2022/08/26 00:09:42 - mmengine - INFO - Epoch(train) [46][40/63] lr: 1.0000e-04 eta: 21:15:07 time: 0.8427 data_time: 0.0249 memory: 25127 loss_text: 0.0542 loss_kernel: 0.0309 loss: 0.0852 2022/08/26 00:09:46 - mmengine - INFO - Epoch(train) [46][45/63] lr: 1.0000e-04 eta: 21:15:07 time: 0.8797 data_time: 0.0283 memory: 25127 loss_text: 0.0532 loss_kernel: 0.0304 loss: 0.0836 2022/08/26 00:09:51 - mmengine - INFO - Epoch(train) [46][50/63] lr: 1.0000e-04 eta: 21:12:06 time: 0.8742 data_time: 0.0288 memory: 25127 loss_text: 0.0605 loss_kernel: 0.0349 loss: 0.0954 2022/08/26 00:09:55 - mmengine - INFO - Epoch(train) [46][55/63] lr: 1.0000e-04 eta: 21:12:06 time: 0.8567 data_time: 0.0339 memory: 25127 loss_text: 0.0703 loss_kernel: 0.0402 loss: 0.1105 2022/08/26 00:09:59 - mmengine - INFO - Epoch(train) [46][60/63] lr: 1.0000e-04 eta: 21:09:04 time: 0.8571 data_time: 0.0242 memory: 25127 loss_text: 0.0708 loss_kernel: 0.0395 loss: 0.1102 2022/08/26 00:10:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:11:29 - mmengine - INFO - Epoch(train) [47][5/63] lr: 1.0000e-04 eta: 21:09:04 time: 9.1136 data_time: 8.3135 memory: 25127 loss_text: 0.0609 loss_kernel: 0.0372 loss: 0.0980 2022/08/26 00:11:33 - mmengine - INFO - Epoch(train) [47][10/63] lr: 1.0000e-04 eta: 21:21:13 time: 9.1488 data_time: 8.3325 memory: 25127 loss_text: 0.0540 loss_kernel: 0.0331 loss: 0.0871 2022/08/26 00:11:37 - mmengine - INFO - Epoch(train) [47][15/63] lr: 1.0000e-04 eta: 21:21:13 time: 0.8130 data_time: 0.0317 memory: 25127 loss_text: 0.0531 loss_kernel: 0.0318 loss: 0.0850 2022/08/26 00:11:42 - mmengine - INFO - Epoch(train) [47][20/63] lr: 1.0000e-04 eta: 21:18:21 time: 0.9440 data_time: 0.0716 memory: 25127 loss_text: 0.0575 loss_kernel: 0.0350 loss: 0.0925 2022/08/26 00:11:46 - mmengine - INFO - Epoch(train) [47][25/63] lr: 1.0000e-04 eta: 21:18:21 time: 0.9608 data_time: 0.0802 memory: 25127 loss_text: 0.0555 loss_kernel: 0.0340 loss: 0.0894 2022/08/26 00:11:51 - mmengine - INFO - Epoch(train) [47][30/63] lr: 1.0000e-04 eta: 21:15:15 time: 0.8218 data_time: 0.0308 memory: 25127 loss_text: 0.0558 loss_kernel: 0.0333 loss: 0.0891 2022/08/26 00:11:55 - mmengine - INFO - Epoch(train) [47][35/63] lr: 1.0000e-04 eta: 21:15:15 time: 0.8462 data_time: 0.0473 memory: 25127 loss_text: 0.0603 loss_kernel: 0.0352 loss: 0.0955 2022/08/26 00:12:01 - mmengine - INFO - Epoch(train) [47][40/63] lr: 1.0000e-04 eta: 21:12:41 time: 1.0854 data_time: 0.0555 memory: 25127 loss_text: 0.0625 loss_kernel: 0.0360 loss: 0.0986 2022/08/26 00:12:06 - mmengine - INFO - Epoch(train) [47][45/63] lr: 1.0000e-04 eta: 21:12:41 time: 1.0976 data_time: 0.0574 memory: 25127 loss_text: 0.0549 loss_kernel: 0.0319 loss: 0.0868 2022/08/26 00:12:11 - mmengine - INFO - Epoch(train) [47][50/63] lr: 1.0000e-04 eta: 21:09:52 time: 0.9412 data_time: 0.1313 memory: 25127 loss_text: 0.0531 loss_kernel: 0.0305 loss: 0.0836 2022/08/26 00:12:15 - mmengine - INFO - Epoch(train) [47][55/63] lr: 1.0000e-04 eta: 21:09:52 time: 0.9509 data_time: 0.1320 memory: 25127 loss_text: 0.0539 loss_kernel: 0.0313 loss: 0.0852 2022/08/26 00:12:20 - mmengine - INFO - Epoch(train) [47][60/63] lr: 1.0000e-04 eta: 21:06:56 time: 0.8803 data_time: 0.0424 memory: 25127 loss_text: 0.0564 loss_kernel: 0.0320 loss: 0.0884 2022/08/26 00:12:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:13:50 - mmengine - INFO - Epoch(train) [48][5/63] lr: 1.0000e-04 eta: 21:06:56 time: 9.1489 data_time: 8.3315 memory: 25127 loss_text: 0.0614 loss_kernel: 0.0344 loss: 0.0957 2022/08/26 00:13:54 - mmengine - INFO - Epoch(train) [48][10/63] lr: 1.0000e-04 eta: 21:18:49 time: 9.1628 data_time: 8.3461 memory: 25127 loss_text: 0.0627 loss_kernel: 0.0356 loss: 0.0983 2022/08/26 00:13:58 - mmengine - INFO - Epoch(train) [48][15/63] lr: 1.0000e-04 eta: 21:18:49 time: 0.8431 data_time: 0.0333 memory: 25127 loss_text: 0.0508 loss_kernel: 0.0311 loss: 0.0819 2022/08/26 00:14:02 - mmengine - INFO - Epoch(train) [48][20/63] lr: 1.0000e-04 eta: 21:15:51 time: 0.8639 data_time: 0.0224 memory: 25127 loss_text: 0.0511 loss_kernel: 0.0309 loss: 0.0820 2022/08/26 00:14:07 - mmengine - INFO - Epoch(train) [48][25/63] lr: 1.0000e-04 eta: 21:15:51 time: 0.8798 data_time: 0.0413 memory: 25127 loss_text: 0.0568 loss_kernel: 0.0329 loss: 0.0897 2022/08/26 00:14:11 - mmengine - INFO - Epoch(train) [48][30/63] lr: 1.0000e-04 eta: 21:12:54 time: 0.8713 data_time: 0.0324 memory: 25127 loss_text: 0.0560 loss_kernel: 0.0325 loss: 0.0886 2022/08/26 00:14:15 - mmengine - INFO - Epoch(train) [48][35/63] lr: 1.0000e-04 eta: 21:12:54 time: 0.8541 data_time: 0.0232 memory: 25127 loss_text: 0.0513 loss_kernel: 0.0309 loss: 0.0822 2022/08/26 00:14:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:14:20 - mmengine - INFO - Epoch(train) [48][40/63] lr: 1.0000e-04 eta: 21:09:57 time: 0.8539 data_time: 0.0311 memory: 25127 loss_text: 0.0494 loss_kernel: 0.0304 loss: 0.0799 2022/08/26 00:14:24 - mmengine - INFO - Epoch(train) [48][45/63] lr: 1.0000e-04 eta: 21:09:57 time: 0.8512 data_time: 0.0290 memory: 25127 loss_text: 0.0523 loss_kernel: 0.0309 loss: 0.0832 2022/08/26 00:14:28 - mmengine - INFO - Epoch(train) [48][50/63] lr: 1.0000e-04 eta: 21:07:02 time: 0.8659 data_time: 0.0333 memory: 25127 loss_text: 0.0549 loss_kernel: 0.0309 loss: 0.0858 2022/08/26 00:14:32 - mmengine - INFO - Epoch(train) [48][55/63] lr: 1.0000e-04 eta: 21:07:02 time: 0.8519 data_time: 0.0291 memory: 25127 loss_text: 0.0590 loss_kernel: 0.0341 loss: 0.0932 2022/08/26 00:14:37 - mmengine - INFO - Epoch(train) [48][60/63] lr: 1.0000e-04 eta: 21:04:03 time: 0.8237 data_time: 0.0198 memory: 25127 loss_text: 0.0674 loss_kernel: 0.0384 loss: 0.1058 2022/08/26 00:14:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:16:08 - mmengine - INFO - Epoch(train) [49][5/63] lr: 1.0000e-04 eta: 21:04:03 time: 9.3203 data_time: 8.5369 memory: 25127 loss_text: 0.0622 loss_kernel: 0.0326 loss: 0.0948 2022/08/26 00:16:13 - mmengine - INFO - Epoch(train) [49][10/63] lr: 1.0000e-04 eta: 21:16:05 time: 9.3814 data_time: 8.5572 memory: 25127 loss_text: 0.0603 loss_kernel: 0.0327 loss: 0.0930 2022/08/26 00:16:17 - mmengine - INFO - Epoch(train) [49][15/63] lr: 1.0000e-04 eta: 21:16:05 time: 0.8774 data_time: 0.0313 memory: 25127 loss_text: 0.0660 loss_kernel: 0.0367 loss: 0.1027 2022/08/26 00:16:21 - mmengine - INFO - Epoch(train) [49][20/63] lr: 1.0000e-04 eta: 21:13:11 time: 0.8682 data_time: 0.0237 memory: 25127 loss_text: 0.0693 loss_kernel: 0.0375 loss: 0.1068 2022/08/26 00:16:26 - mmengine - INFO - Epoch(train) [49][25/63] lr: 1.0000e-04 eta: 21:13:11 time: 0.8623 data_time: 0.0444 memory: 25127 loss_text: 0.0602 loss_kernel: 0.0345 loss: 0.0946 2022/08/26 00:16:30 - mmengine - INFO - Epoch(train) [49][30/63] lr: 1.0000e-04 eta: 21:10:20 time: 0.8901 data_time: 0.0285 memory: 25127 loss_text: 0.0551 loss_kernel: 0.0320 loss: 0.0871 2022/08/26 00:16:34 - mmengine - INFO - Epoch(train) [49][35/63] lr: 1.0000e-04 eta: 21:10:20 time: 0.8840 data_time: 0.0191 memory: 25127 loss_text: 0.0591 loss_kernel: 0.0328 loss: 0.0919 2022/08/26 00:16:39 - mmengine - INFO - Epoch(train) [49][40/63] lr: 1.0000e-04 eta: 21:07:31 time: 0.8951 data_time: 0.0264 memory: 25127 loss_text: 0.0568 loss_kernel: 0.0329 loss: 0.0898 2022/08/26 00:16:43 - mmengine - INFO - Epoch(train) [49][45/63] lr: 1.0000e-04 eta: 21:07:31 time: 0.8806 data_time: 0.0249 memory: 25127 loss_text: 0.0659 loss_kernel: 0.0373 loss: 0.1033 2022/08/26 00:16:47 - mmengine - INFO - Epoch(train) [49][50/63] lr: 1.0000e-04 eta: 21:04:36 time: 0.8326 data_time: 0.0313 memory: 25127 loss_text: 0.0745 loss_kernel: 0.0388 loss: 0.1133 2022/08/26 00:16:52 - mmengine - INFO - Epoch(train) [49][55/63] lr: 1.0000e-04 eta: 21:04:36 time: 0.8484 data_time: 0.0275 memory: 25127 loss_text: 0.0695 loss_kernel: 0.0356 loss: 0.1051 2022/08/26 00:16:56 - mmengine - INFO - Epoch(train) [49][60/63] lr: 1.0000e-04 eta: 21:01:44 time: 0.8568 data_time: 0.0216 memory: 25127 loss_text: 0.0719 loss_kernel: 0.0363 loss: 0.1082 2022/08/26 00:16:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:18:28 - mmengine - INFO - Epoch(train) [50][5/63] lr: 1.0000e-04 eta: 21:01:44 time: 9.3726 data_time: 8.5900 memory: 25127 loss_text: 0.0684 loss_kernel: 0.0368 loss: 0.1053 2022/08/26 00:18:32 - mmengine - INFO - Epoch(train) [50][10/63] lr: 1.0000e-04 eta: 21:13:34 time: 9.4226 data_time: 8.6073 memory: 25127 loss_text: 0.0602 loss_kernel: 0.0336 loss: 0.0937 2022/08/26 00:18:37 - mmengine - INFO - Epoch(train) [50][15/63] lr: 1.0000e-04 eta: 21:13:34 time: 0.8428 data_time: 0.0366 memory: 25127 loss_text: 0.0593 loss_kernel: 0.0330 loss: 0.0923 2022/08/26 00:18:42 - mmengine - INFO - Epoch(train) [50][20/63] lr: 1.0000e-04 eta: 21:10:54 time: 0.9627 data_time: 0.0789 memory: 25127 loss_text: 0.0630 loss_kernel: 0.0341 loss: 0.0970 2022/08/26 00:18:46 - mmengine - INFO - Epoch(train) [50][25/63] lr: 1.0000e-04 eta: 21:10:54 time: 0.9582 data_time: 0.0809 memory: 25127 loss_text: 0.0630 loss_kernel: 0.0354 loss: 0.0985 2022/08/26 00:18:50 - mmengine - INFO - Epoch(train) [50][30/63] lr: 1.0000e-04 eta: 21:07:58 time: 0.8107 data_time: 0.0234 memory: 25127 loss_text: 0.0592 loss_kernel: 0.0340 loss: 0.0932 2022/08/26 00:18:54 - mmengine - INFO - Epoch(train) [50][35/63] lr: 1.0000e-04 eta: 21:07:58 time: 0.8143 data_time: 0.0284 memory: 25127 loss_text: 0.0611 loss_kernel: 0.0352 loss: 0.0963 2022/08/26 00:18:59 - mmengine - INFO - Epoch(train) [50][40/63] lr: 1.0000e-04 eta: 21:05:07 time: 0.8560 data_time: 0.0276 memory: 25127 loss_text: 0.0649 loss_kernel: 0.0357 loss: 0.1006 2022/08/26 00:19:03 - mmengine - INFO - Epoch(train) [50][45/63] lr: 1.0000e-04 eta: 21:05:07 time: 0.8796 data_time: 0.0253 memory: 25127 loss_text: 0.0554 loss_kernel: 0.0315 loss: 0.0869 2022/08/26 00:19:07 - mmengine - INFO - Epoch(train) [50][50/63] lr: 1.0000e-04 eta: 21:02:20 time: 0.8729 data_time: 0.0341 memory: 25127 loss_text: 0.0541 loss_kernel: 0.0317 loss: 0.0858 2022/08/26 00:19:12 - mmengine - INFO - Epoch(train) [50][55/63] lr: 1.0000e-04 eta: 21:02:20 time: 0.8523 data_time: 0.0302 memory: 25127 loss_text: 0.0607 loss_kernel: 0.0338 loss: 0.0944 2022/08/26 00:19:16 - mmengine - INFO - Epoch(train) [50][60/63] lr: 1.0000e-04 eta: 20:59:30 time: 0.8410 data_time: 0.0247 memory: 25127 loss_text: 0.0637 loss_kernel: 0.0358 loss: 0.0996 2022/08/26 00:19:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:20:47 - mmengine - INFO - Epoch(train) [51][5/63] lr: 1.0000e-04 eta: 20:59:30 time: 9.2670 data_time: 8.4822 memory: 25127 loss_text: 0.0553 loss_kernel: 0.0337 loss: 0.0891 2022/08/26 00:20:51 - mmengine - INFO - Epoch(train) [51][10/63] lr: 1.0000e-04 eta: 21:10:52 time: 9.3180 data_time: 8.5012 memory: 25127 loss_text: 0.0488 loss_kernel: 0.0311 loss: 0.0798 2022/08/26 00:20:56 - mmengine - INFO - Epoch(train) [51][15/63] lr: 1.0000e-04 eta: 21:10:52 time: 0.8802 data_time: 0.0349 memory: 25127 loss_text: 0.0508 loss_kernel: 0.0308 loss: 0.0815 2022/08/26 00:21:00 - mmengine - INFO - Epoch(train) [51][20/63] lr: 1.0000e-04 eta: 21:08:07 time: 0.8845 data_time: 0.0279 memory: 25127 loss_text: 0.0544 loss_kernel: 0.0330 loss: 0.0873 2022/08/26 00:21:04 - mmengine - INFO - Epoch(train) [51][25/63] lr: 1.0000e-04 eta: 21:08:07 time: 0.8545 data_time: 0.0271 memory: 25127 loss_text: 0.0583 loss_kernel: 0.0350 loss: 0.0934 2022/08/26 00:21:09 - mmengine - INFO - Epoch(train) [51][30/63] lr: 1.0000e-04 eta: 21:05:20 time: 0.8657 data_time: 0.0268 memory: 25127 loss_text: 0.0545 loss_kernel: 0.0330 loss: 0.0875 2022/08/26 00:21:13 - mmengine - INFO - Epoch(train) [51][35/63] lr: 1.0000e-04 eta: 21:05:20 time: 0.8655 data_time: 0.0366 memory: 25127 loss_text: 0.0464 loss_kernel: 0.0293 loss: 0.0757 2022/08/26 00:21:17 - mmengine - INFO - Epoch(train) [51][40/63] lr: 1.0000e-04 eta: 21:02:30 time: 0.8360 data_time: 0.0295 memory: 25127 loss_text: 0.0471 loss_kernel: 0.0286 loss: 0.0757 2022/08/26 00:21:22 - mmengine - INFO - Epoch(train) [51][45/63] lr: 1.0000e-04 eta: 21:02:30 time: 0.9517 data_time: 0.0261 memory: 25127 loss_text: 0.0532 loss_kernel: 0.0310 loss: 0.0842 2022/08/26 00:21:27 - mmengine - INFO - Epoch(train) [51][50/63] lr: 1.0000e-04 eta: 20:59:54 time: 0.9471 data_time: 0.0306 memory: 25127 loss_text: 0.0524 loss_kernel: 0.0305 loss: 0.0829 2022/08/26 00:21:31 - mmengine - INFO - Epoch(train) [51][55/63] lr: 1.0000e-04 eta: 20:59:54 time: 0.8337 data_time: 0.0280 memory: 25127 loss_text: 0.0507 loss_kernel: 0.0302 loss: 0.0808 2022/08/26 00:21:35 - mmengine - INFO - Epoch(train) [51][60/63] lr: 1.0000e-04 eta: 20:57:07 time: 0.8387 data_time: 0.0262 memory: 25127 loss_text: 0.0576 loss_kernel: 0.0327 loss: 0.0903 2022/08/26 00:21:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:23:07 - mmengine - INFO - Epoch(train) [52][5/63] lr: 1.0000e-04 eta: 20:57:07 time: 9.3163 data_time: 8.5472 memory: 25127 loss_text: 0.0564 loss_kernel: 0.0335 loss: 0.0900 2022/08/26 00:23:11 - mmengine - INFO - Epoch(train) [52][10/63] lr: 1.0000e-04 eta: 21:08:23 time: 9.3970 data_time: 8.5785 memory: 25127 loss_text: 0.0495 loss_kernel: 0.0299 loss: 0.0794 2022/08/26 00:23:16 - mmengine - INFO - Epoch(train) [52][15/63] lr: 1.0000e-04 eta: 21:08:23 time: 0.8912 data_time: 0.0431 memory: 25127 loss_text: 0.0503 loss_kernel: 0.0303 loss: 0.0806 2022/08/26 00:23:20 - mmengine - INFO - Epoch(train) [52][20/63] lr: 1.0000e-04 eta: 21:05:38 time: 0.8645 data_time: 0.0217 memory: 25127 loss_text: 0.0565 loss_kernel: 0.0329 loss: 0.0894 2022/08/26 00:23:24 - mmengine - INFO - Epoch(train) [52][25/63] lr: 1.0000e-04 eta: 21:05:38 time: 0.8431 data_time: 0.0414 memory: 25127 loss_text: 0.0536 loss_kernel: 0.0318 loss: 0.0855 2022/08/26 00:23:28 - mmengine - INFO - Epoch(train) [52][30/63] lr: 1.0000e-04 eta: 21:02:55 time: 0.8699 data_time: 0.0283 memory: 25127 loss_text: 0.0520 loss_kernel: 0.0309 loss: 0.0829 2022/08/26 00:23:33 - mmengine - INFO - Epoch(train) [52][35/63] lr: 1.0000e-04 eta: 21:02:55 time: 0.8725 data_time: 0.0232 memory: 25127 loss_text: 0.0696 loss_kernel: 0.0367 loss: 0.1063 2022/08/26 00:23:37 - mmengine - INFO - Epoch(train) [52][40/63] lr: 1.0000e-04 eta: 21:00:13 time: 0.8746 data_time: 0.0333 memory: 25127 loss_text: 0.0762 loss_kernel: 0.0403 loss: 0.1165 2022/08/26 00:23:41 - mmengine - INFO - Epoch(train) [52][45/63] lr: 1.0000e-04 eta: 21:00:13 time: 0.8801 data_time: 0.0318 memory: 25127 loss_text: 0.0721 loss_kernel: 0.0372 loss: 0.1094 2022/08/26 00:23:46 - mmengine - INFO - Epoch(train) [52][50/63] lr: 1.0000e-04 eta: 20:57:36 time: 0.9120 data_time: 0.0404 memory: 25127 loss_text: 0.0748 loss_kernel: 0.0370 loss: 0.1118 2022/08/26 00:23:51 - mmengine - INFO - Epoch(train) [52][55/63] lr: 1.0000e-04 eta: 20:57:36 time: 0.9061 data_time: 0.0367 memory: 25127 loss_text: 0.0734 loss_kernel: 0.0378 loss: 0.1113 2022/08/26 00:23:55 - mmengine - INFO - Epoch(train) [52][60/63] lr: 1.0000e-04 eta: 20:54:52 time: 0.8415 data_time: 0.0228 memory: 25127 loss_text: 0.0721 loss_kernel: 0.0377 loss: 0.1098 2022/08/26 00:23:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:25:26 - mmengine - INFO - Epoch(train) [53][5/63] lr: 1.0000e-04 eta: 20:54:52 time: 9.2960 data_time: 8.5153 memory: 25127 loss_text: 0.0618 loss_kernel: 0.0356 loss: 0.0973 2022/08/26 00:25:30 - mmengine - INFO - Epoch(train) [53][10/63] lr: 1.0000e-04 eta: 21:05:46 time: 9.3304 data_time: 8.5260 memory: 25127 loss_text: 0.0608 loss_kernel: 0.0327 loss: 0.0935 2022/08/26 00:25:34 - mmengine - INFO - Epoch(train) [53][15/63] lr: 1.0000e-04 eta: 21:05:46 time: 0.7938 data_time: 0.0297 memory: 25127 loss_text: 0.0674 loss_kernel: 0.0344 loss: 0.1018 2022/08/26 00:25:38 - mmengine - INFO - Epoch(train) [53][20/63] lr: 1.0000e-04 eta: 21:02:56 time: 0.7850 data_time: 0.0316 memory: 25127 loss_text: 0.0680 loss_kernel: 0.0363 loss: 0.1044 2022/08/26 00:25:43 - mmengine - INFO - Epoch(train) [53][25/63] lr: 1.0000e-04 eta: 21:02:56 time: 0.9219 data_time: 0.0292 memory: 25127 loss_text: 0.0634 loss_kernel: 0.0343 loss: 0.0977 2022/08/26 00:25:47 - mmengine - INFO - Epoch(train) [53][30/63] lr: 1.0000e-04 eta: 21:00:23 time: 0.9359 data_time: 0.0250 memory: 25127 loss_text: 0.0657 loss_kernel: 0.0355 loss: 0.1013 2022/08/26 00:25:52 - mmengine - INFO - Epoch(train) [53][35/63] lr: 1.0000e-04 eta: 21:00:23 time: 0.8452 data_time: 0.0355 memory: 25127 loss_text: 0.0635 loss_kernel: 0.0351 loss: 0.0986 2022/08/26 00:25:56 - mmengine - INFO - Epoch(train) [53][40/63] lr: 1.0000e-04 eta: 20:57:42 time: 0.8569 data_time: 0.0250 memory: 25127 loss_text: 0.0606 loss_kernel: 0.0346 loss: 0.0952 2022/08/26 00:26:00 - mmengine - INFO - Epoch(train) [53][45/63] lr: 1.0000e-04 eta: 20:57:42 time: 0.8641 data_time: 0.0250 memory: 25127 loss_text: 0.0588 loss_kernel: 0.0336 loss: 0.0924 2022/08/26 00:26:05 - mmengine - INFO - Epoch(train) [53][50/63] lr: 1.0000e-04 eta: 20:55:06 time: 0.8943 data_time: 0.0712 memory: 25127 loss_text: 0.0546 loss_kernel: 0.0313 loss: 0.0859 2022/08/26 00:26:09 - mmengine - INFO - Epoch(train) [53][55/63] lr: 1.0000e-04 eta: 20:55:06 time: 0.8618 data_time: 0.0657 memory: 25127 loss_text: 0.0594 loss_kernel: 0.0324 loss: 0.0919 2022/08/26 00:26:13 - mmengine - INFO - Epoch(train) [53][60/63] lr: 1.0000e-04 eta: 20:52:23 time: 0.8195 data_time: 0.0267 memory: 25127 loss_text: 0.0608 loss_kernel: 0.0337 loss: 0.0946 2022/08/26 00:26:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:27:43 - mmengine - INFO - Epoch(train) [54][5/63] lr: 1.0000e-04 eta: 20:52:23 time: 9.0983 data_time: 8.2400 memory: 25127 loss_text: 0.0650 loss_kernel: 0.0361 loss: 0.1012 2022/08/26 00:27:47 - mmengine - INFO - Epoch(train) [54][10/63] lr: 1.0000e-04 eta: 21:02:40 time: 9.1083 data_time: 8.2737 memory: 25127 loss_text: 0.0570 loss_kernel: 0.0324 loss: 0.0895 2022/08/26 00:27:52 - mmengine - INFO - Epoch(train) [54][15/63] lr: 1.0000e-04 eta: 21:02:40 time: 0.9098 data_time: 0.0449 memory: 25127 loss_text: 0.0563 loss_kernel: 0.0330 loss: 0.0893 2022/08/26 00:27:56 - mmengine - INFO - Epoch(train) [54][20/63] lr: 1.0000e-04 eta: 21:00:07 time: 0.9186 data_time: 0.0359 memory: 25127 loss_text: 0.0583 loss_kernel: 0.0338 loss: 0.0920 2022/08/26 00:28:01 - mmengine - INFO - Epoch(train) [54][25/63] lr: 1.0000e-04 eta: 21:00:07 time: 0.9053 data_time: 0.0424 memory: 25127 loss_text: 0.0575 loss_kernel: 0.0320 loss: 0.0895 2022/08/26 00:28:05 - mmengine - INFO - Epoch(train) [54][30/63] lr: 1.0000e-04 eta: 20:57:30 time: 0.8792 data_time: 0.0258 memory: 25127 loss_text: 0.0615 loss_kernel: 0.0348 loss: 0.0963 2022/08/26 00:28:09 - mmengine - INFO - Epoch(train) [54][35/63] lr: 1.0000e-04 eta: 20:57:30 time: 0.8328 data_time: 0.0272 memory: 25127 loss_text: 0.0579 loss_kernel: 0.0336 loss: 0.0914 2022/08/26 00:28:13 - mmengine - INFO - Epoch(train) [54][40/63] lr: 1.0000e-04 eta: 20:54:49 time: 0.8213 data_time: 0.0246 memory: 25127 loss_text: 0.0543 loss_kernel: 0.0313 loss: 0.0856 2022/08/26 00:28:17 - mmengine - INFO - Epoch(train) [54][45/63] lr: 1.0000e-04 eta: 20:54:49 time: 0.8216 data_time: 0.0249 memory: 25127 loss_text: 0.0533 loss_kernel: 0.0304 loss: 0.0837 2022/08/26 00:28:23 - mmengine - INFO - Epoch(train) [54][50/63] lr: 1.0000e-04 eta: 20:52:19 time: 0.9273 data_time: 0.0375 memory: 25127 loss_text: 0.0496 loss_kernel: 0.0296 loss: 0.0792 2022/08/26 00:28:27 - mmengine - INFO - Epoch(train) [54][55/63] lr: 1.0000e-04 eta: 20:52:19 time: 0.9235 data_time: 0.0341 memory: 25127 loss_text: 0.0556 loss_kernel: 0.0327 loss: 0.0883 2022/08/26 00:28:31 - mmengine - INFO - Epoch(train) [54][60/63] lr: 1.0000e-04 eta: 20:49:40 time: 0.8295 data_time: 0.0209 memory: 25127 loss_text: 0.0658 loss_kernel: 0.0333 loss: 0.0990 2022/08/26 00:28:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:30:02 - mmengine - INFO - Epoch(train) [55][5/63] lr: 1.0000e-04 eta: 20:49:40 time: 9.2108 data_time: 8.4223 memory: 25127 loss_text: 0.0646 loss_kernel: 0.0345 loss: 0.0991 2022/08/26 00:30:06 - mmengine - INFO - Epoch(train) [55][10/63] lr: 1.0000e-04 eta: 21:00:02 time: 9.2810 data_time: 8.4511 memory: 25127 loss_text: 0.0567 loss_kernel: 0.0328 loss: 0.0895 2022/08/26 00:30:11 - mmengine - INFO - Epoch(train) [55][15/63] lr: 1.0000e-04 eta: 21:00:02 time: 0.9450 data_time: 0.0378 memory: 25127 loss_text: 0.0524 loss_kernel: 0.0306 loss: 0.0830 2022/08/26 00:30:15 - mmengine - INFO - Epoch(train) [55][20/63] lr: 1.0000e-04 eta: 20:57:31 time: 0.9228 data_time: 0.0219 memory: 25127 loss_text: 0.0511 loss_kernel: 0.0306 loss: 0.0818 2022/08/26 00:30:20 - mmengine - INFO - Epoch(train) [55][25/63] lr: 1.0000e-04 eta: 20:57:31 time: 0.8574 data_time: 0.0496 memory: 25127 loss_text: 0.0529 loss_kernel: 0.0326 loss: 0.0855 2022/08/26 00:30:24 - mmengine - INFO - Epoch(train) [55][30/63] lr: 1.0000e-04 eta: 20:54:55 time: 0.8512 data_time: 0.0354 memory: 25127 loss_text: 0.0556 loss_kernel: 0.0333 loss: 0.0889 2022/08/26 00:30:28 - mmengine - INFO - Epoch(train) [55][35/63] lr: 1.0000e-04 eta: 20:54:55 time: 0.8466 data_time: 0.0219 memory: 25127 loss_text: 0.0531 loss_kernel: 0.0320 loss: 0.0850 2022/08/26 00:30:33 - mmengine - INFO - Epoch(train) [55][40/63] lr: 1.0000e-04 eta: 20:52:33 time: 0.9851 data_time: 0.0290 memory: 25127 loss_text: 0.0511 loss_kernel: 0.0325 loss: 0.0836 2022/08/26 00:30:38 - mmengine - INFO - Epoch(train) [55][45/63] lr: 1.0000e-04 eta: 20:52:33 time: 0.9765 data_time: 0.0249 memory: 25127 loss_text: 0.0577 loss_kernel: 0.0354 loss: 0.0931 2022/08/26 00:30:42 - mmengine - INFO - Epoch(train) [55][50/63] lr: 1.0000e-04 eta: 20:49:59 time: 0.8612 data_time: 0.0326 memory: 25127 loss_text: 0.0549 loss_kernel: 0.0328 loss: 0.0877 2022/08/26 00:30:46 - mmengine - INFO - Epoch(train) [55][55/63] lr: 1.0000e-04 eta: 20:49:59 time: 0.8533 data_time: 0.0284 memory: 25127 loss_text: 0.0549 loss_kernel: 0.0328 loss: 0.0876 2022/08/26 00:30:51 - mmengine - INFO - Epoch(train) [55][60/63] lr: 1.0000e-04 eta: 20:47:27 time: 0.8758 data_time: 0.0205 memory: 25127 loss_text: 0.0568 loss_kernel: 0.0335 loss: 0.0903 2022/08/26 00:30:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:32:22 - mmengine - INFO - Epoch(train) [56][5/63] lr: 1.0000e-04 eta: 20:47:27 time: 9.3175 data_time: 8.4605 memory: 25127 loss_text: 0.0615 loss_kernel: 0.0340 loss: 0.0955 2022/08/26 00:32:27 - mmengine - INFO - Epoch(train) [56][10/63] lr: 1.0000e-04 eta: 20:57:38 time: 9.3022 data_time: 8.4894 memory: 25127 loss_text: 0.0645 loss_kernel: 0.0359 loss: 0.1005 2022/08/26 00:32:31 - mmengine - INFO - Epoch(train) [56][15/63] lr: 1.0000e-04 eta: 20:57:38 time: 0.9038 data_time: 0.0397 memory: 25127 loss_text: 0.0559 loss_kernel: 0.0329 loss: 0.0889 2022/08/26 00:32:36 - mmengine - INFO - Epoch(train) [56][20/63] lr: 1.0000e-04 eta: 20:55:08 time: 0.9011 data_time: 0.0217 memory: 25127 loss_text: 0.0489 loss_kernel: 0.0303 loss: 0.0791 2022/08/26 00:32:40 - mmengine - INFO - Epoch(train) [56][25/63] lr: 1.0000e-04 eta: 20:55:08 time: 0.8605 data_time: 0.0311 memory: 25127 loss_text: 0.0498 loss_kernel: 0.0300 loss: 0.0798 2022/08/26 00:32:44 - mmengine - INFO - Epoch(train) [56][30/63] lr: 1.0000e-04 eta: 20:52:37 time: 0.8783 data_time: 0.0265 memory: 25127 loss_text: 0.0590 loss_kernel: 0.0340 loss: 0.0930 2022/08/26 00:32:49 - mmengine - INFO - Epoch(train) [56][35/63] lr: 1.0000e-04 eta: 20:52:37 time: 0.8827 data_time: 0.0330 memory: 25127 loss_text: 0.0588 loss_kernel: 0.0339 loss: 0.0927 2022/08/26 00:32:53 - mmengine - INFO - Epoch(train) [56][40/63] lr: 1.0000e-04 eta: 20:50:04 time: 0.8547 data_time: 0.0310 memory: 25127 loss_text: 0.0488 loss_kernel: 0.0284 loss: 0.0772 2022/08/26 00:32:57 - mmengine - INFO - Epoch(train) [56][45/63] lr: 1.0000e-04 eta: 20:50:04 time: 0.8368 data_time: 0.0275 memory: 25127 loss_text: 0.0567 loss_kernel: 0.0336 loss: 0.0903 2022/08/26 00:33:01 - mmengine - INFO - Epoch(train) [56][50/63] lr: 1.0000e-04 eta: 20:47:33 time: 0.8571 data_time: 0.0375 memory: 25127 loss_text: 0.0580 loss_kernel: 0.0343 loss: 0.0923 2022/08/26 00:33:06 - mmengine - INFO - Epoch(train) [56][55/63] lr: 1.0000e-04 eta: 20:47:33 time: 0.8902 data_time: 0.0287 memory: 25127 loss_text: 0.0561 loss_kernel: 0.0325 loss: 0.0885 2022/08/26 00:33:10 - mmengine - INFO - Epoch(train) [56][60/63] lr: 1.0000e-04 eta: 20:45:02 time: 0.8571 data_time: 0.0194 memory: 25127 loss_text: 0.0552 loss_kernel: 0.0323 loss: 0.0875 2022/08/26 00:33:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:34:39 - mmengine - INFO - Epoch(train) [57][5/63] lr: 1.0000e-04 eta: 20:45:02 time: 9.0767 data_time: 8.2930 memory: 25127 loss_text: 0.0481 loss_kernel: 0.0295 loss: 0.0776 2022/08/26 00:34:44 - mmengine - INFO - Epoch(train) [57][10/63] lr: 1.0000e-04 eta: 20:54:43 time: 9.1304 data_time: 8.3075 memory: 25127 loss_text: 0.0544 loss_kernel: 0.0328 loss: 0.0873 2022/08/26 00:34:48 - mmengine - INFO - Epoch(train) [57][15/63] lr: 1.0000e-04 eta: 20:54:43 time: 0.8406 data_time: 0.0422 memory: 25127 loss_text: 0.0595 loss_kernel: 0.0350 loss: 0.0945 2022/08/26 00:34:53 - mmengine - INFO - Epoch(train) [57][20/63] lr: 1.0000e-04 eta: 20:52:17 time: 0.9127 data_time: 0.0500 memory: 25127 loss_text: 0.0627 loss_kernel: 0.0354 loss: 0.0982 2022/08/26 00:34:57 - mmengine - INFO - Epoch(train) [57][25/63] lr: 1.0000e-04 eta: 20:52:17 time: 0.8965 data_time: 0.0345 memory: 25127 loss_text: 0.0588 loss_kernel: 0.0332 loss: 0.0920 2022/08/26 00:35:01 - mmengine - INFO - Epoch(train) [57][30/63] lr: 1.0000e-04 eta: 20:49:43 time: 0.8121 data_time: 0.0260 memory: 25127 loss_text: 0.0517 loss_kernel: 0.0305 loss: 0.0821 2022/08/26 00:35:05 - mmengine - INFO - Epoch(train) [57][35/63] lr: 1.0000e-04 eta: 20:49:43 time: 0.8337 data_time: 0.0397 memory: 25127 loss_text: 0.0501 loss_kernel: 0.0292 loss: 0.0793 2022/08/26 00:35:09 - mmengine - INFO - Epoch(train) [57][40/63] lr: 1.0000e-04 eta: 20:47:09 time: 0.8218 data_time: 0.0309 memory: 25127 loss_text: 0.0522 loss_kernel: 0.0304 loss: 0.0826 2022/08/26 00:35:15 - mmengine - INFO - Epoch(train) [57][45/63] lr: 1.0000e-04 eta: 20:47:09 time: 0.9519 data_time: 0.0199 memory: 25127 loss_text: 0.0565 loss_kernel: 0.0331 loss: 0.0896 2022/08/26 00:35:19 - mmengine - INFO - Epoch(train) [57][50/63] lr: 1.0000e-04 eta: 20:44:51 time: 0.9648 data_time: 0.0213 memory: 25127 loss_text: 0.0585 loss_kernel: 0.0330 loss: 0.0915 2022/08/26 00:35:23 - mmengine - INFO - Epoch(train) [57][55/63] lr: 1.0000e-04 eta: 20:44:51 time: 0.8427 data_time: 0.0239 memory: 25127 loss_text: 0.0595 loss_kernel: 0.0342 loss: 0.0936 2022/08/26 00:35:27 - mmengine - INFO - Epoch(train) [57][60/63] lr: 1.0000e-04 eta: 20:42:22 time: 0.8511 data_time: 0.0244 memory: 25127 loss_text: 0.0635 loss_kernel: 0.0349 loss: 0.0984 2022/08/26 00:35:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:36:56 - mmengine - INFO - Epoch(train) [58][5/63] lr: 1.0000e-04 eta: 20:42:22 time: 9.0567 data_time: 8.2530 memory: 25127 loss_text: 0.0671 loss_kernel: 0.0366 loss: 0.1038 2022/08/26 00:37:00 - mmengine - INFO - Epoch(train) [58][10/63] lr: 1.0000e-04 eta: 20:51:48 time: 9.0958 data_time: 8.2536 memory: 25127 loss_text: 0.0531 loss_kernel: 0.0310 loss: 0.0841 2022/08/26 00:37:05 - mmengine - INFO - Epoch(train) [58][15/63] lr: 1.0000e-04 eta: 20:51:48 time: 0.8601 data_time: 0.0272 memory: 25127 loss_text: 0.0503 loss_kernel: 0.0310 loss: 0.0813 2022/08/26 00:37:09 - mmengine - INFO - Epoch(train) [58][20/63] lr: 1.0000e-04 eta: 20:49:21 time: 0.8691 data_time: 0.0300 memory: 25127 loss_text: 0.0508 loss_kernel: 0.0311 loss: 0.0819 2022/08/26 00:37:13 - mmengine - INFO - Epoch(train) [58][25/63] lr: 1.0000e-04 eta: 20:49:21 time: 0.8593 data_time: 0.0263 memory: 25127 loss_text: 0.0521 loss_kernel: 0.0315 loss: 0.0835 2022/08/26 00:37:18 - mmengine - INFO - Epoch(train) [58][30/63] lr: 1.0000e-04 eta: 20:46:53 time: 0.8632 data_time: 0.0306 memory: 25127 loss_text: 0.0486 loss_kernel: 0.0303 loss: 0.0789 2022/08/26 00:37:22 - mmengine - INFO - Epoch(train) [58][35/63] lr: 1.0000e-04 eta: 20:46:53 time: 0.8540 data_time: 0.0312 memory: 25127 loss_text: 0.0456 loss_kernel: 0.0283 loss: 0.0739 2022/08/26 00:37:26 - mmengine - INFO - Epoch(train) [58][40/63] lr: 1.0000e-04 eta: 20:44:26 time: 0.8554 data_time: 0.0266 memory: 25127 loss_text: 0.0535 loss_kernel: 0.0314 loss: 0.0849 2022/08/26 00:37:31 - mmengine - INFO - Epoch(train) [58][45/63] lr: 1.0000e-04 eta: 20:44:26 time: 0.8574 data_time: 0.0294 memory: 25127 loss_text: 0.0599 loss_kernel: 0.0340 loss: 0.0938 2022/08/26 00:37:35 - mmengine - INFO - Epoch(train) [58][50/63] lr: 1.0000e-04 eta: 20:41:58 time: 0.8359 data_time: 0.0237 memory: 25127 loss_text: 0.0567 loss_kernel: 0.0329 loss: 0.0895 2022/08/26 00:37:39 - mmengine - INFO - Epoch(train) [58][55/63] lr: 1.0000e-04 eta: 20:41:58 time: 0.8476 data_time: 0.0248 memory: 25127 loss_text: 0.0553 loss_kernel: 0.0319 loss: 0.0872 2022/08/26 00:37:43 - mmengine - INFO - Epoch(train) [58][60/63] lr: 1.0000e-04 eta: 20:39:34 time: 0.8805 data_time: 0.0283 memory: 25127 loss_text: 0.0638 loss_kernel: 0.0352 loss: 0.0989 2022/08/26 00:37:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:39:13 - mmengine - INFO - Epoch(train) [59][5/63] lr: 1.0000e-04 eta: 20:39:34 time: 9.0859 data_time: 8.2603 memory: 25127 loss_text: 0.0537 loss_kernel: 0.0313 loss: 0.0851 2022/08/26 00:39:17 - mmengine - INFO - Epoch(train) [59][10/63] lr: 1.0000e-04 eta: 20:48:51 time: 9.1075 data_time: 8.2756 memory: 25127 loss_text: 0.0493 loss_kernel: 0.0299 loss: 0.0791 2022/08/26 00:39:23 - mmengine - INFO - Epoch(train) [59][15/63] lr: 1.0000e-04 eta: 20:48:51 time: 1.0258 data_time: 0.0350 memory: 25127 loss_text: 0.0492 loss_kernel: 0.0295 loss: 0.0787 2022/08/26 00:39:27 - mmengine - INFO - Epoch(train) [59][20/63] lr: 1.0000e-04 eta: 20:46:40 time: 1.0281 data_time: 0.0349 memory: 25127 loss_text: 0.0573 loss_kernel: 0.0329 loss: 0.0902 2022/08/26 00:39:32 - mmengine - INFO - Epoch(train) [59][25/63] lr: 1.0000e-04 eta: 20:46:40 time: 0.8651 data_time: 0.0403 memory: 25127 loss_text: 0.0635 loss_kernel: 0.0348 loss: 0.0983 2022/08/26 00:39:36 - mmengine - INFO - Epoch(train) [59][30/63] lr: 1.0000e-04 eta: 20:44:16 time: 0.8733 data_time: 0.0308 memory: 25127 loss_text: 0.0544 loss_kernel: 0.0317 loss: 0.0861 2022/08/26 00:39:40 - mmengine - INFO - Epoch(train) [59][35/63] lr: 1.0000e-04 eta: 20:44:16 time: 0.8866 data_time: 0.0326 memory: 25127 loss_text: 0.0545 loss_kernel: 0.0316 loss: 0.0861 2022/08/26 00:39:45 - mmengine - INFO - Epoch(train) [59][40/63] lr: 1.0000e-04 eta: 20:41:51 time: 0.8579 data_time: 0.0252 memory: 25127 loss_text: 0.0551 loss_kernel: 0.0306 loss: 0.0858 2022/08/26 00:39:49 - mmengine - INFO - Epoch(train) [59][45/63] lr: 1.0000e-04 eta: 20:41:51 time: 0.8690 data_time: 0.0316 memory: 25127 loss_text: 0.0533 loss_kernel: 0.0323 loss: 0.0856 2022/08/26 00:39:53 - mmengine - INFO - Epoch(train) [59][50/63] lr: 1.0000e-04 eta: 20:39:30 time: 0.8809 data_time: 0.0336 memory: 25127 loss_text: 0.0583 loss_kernel: 0.0341 loss: 0.0925 2022/08/26 00:39:58 - mmengine - INFO - Epoch(train) [59][55/63] lr: 1.0000e-04 eta: 20:39:30 time: 0.9358 data_time: 0.0235 memory: 25127 loss_text: 0.0562 loss_kernel: 0.0324 loss: 0.0885 2022/08/26 00:40:04 - mmengine - INFO - Epoch(train) [59][60/63] lr: 1.0000e-04 eta: 20:37:23 time: 1.0412 data_time: 0.0270 memory: 25127 loss_text: 0.0565 loss_kernel: 0.0330 loss: 0.0895 2022/08/26 00:40:06 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:41:34 - mmengine - INFO - Epoch(train) [60][5/63] lr: 1.0000e-04 eta: 20:37:23 time: 9.2914 data_time: 8.3378 memory: 25127 loss_text: 0.0499 loss_kernel: 0.0292 loss: 0.0792 2022/08/26 00:41:38 - mmengine - INFO - Epoch(train) [60][10/63] lr: 1.0000e-04 eta: 20:46:36 time: 9.1877 data_time: 8.3545 memory: 25127 loss_text: 0.0526 loss_kernel: 0.0306 loss: 0.0832 2022/08/26 00:41:42 - mmengine - INFO - Epoch(train) [60][15/63] lr: 1.0000e-04 eta: 20:46:36 time: 0.8361 data_time: 0.0315 memory: 25127 loss_text: 0.0562 loss_kernel: 0.0321 loss: 0.0883 2022/08/26 00:41:46 - mmengine - INFO - Epoch(train) [60][20/63] lr: 1.0000e-04 eta: 20:44:08 time: 0.8086 data_time: 0.0203 memory: 25127 loss_text: 0.0599 loss_kernel: 0.0347 loss: 0.0946 2022/08/26 00:41:51 - mmengine - INFO - Epoch(train) [60][25/63] lr: 1.0000e-04 eta: 20:44:08 time: 0.8255 data_time: 0.0267 memory: 25127 loss_text: 0.0569 loss_kernel: 0.0319 loss: 0.0888 2022/08/26 00:41:55 - mmengine - INFO - Epoch(train) [60][30/63] lr: 1.0000e-04 eta: 20:41:47 time: 0.8865 data_time: 0.0251 memory: 25127 loss_text: 0.0558 loss_kernel: 0.0304 loss: 0.0863 2022/08/26 00:42:00 - mmengine - INFO - Epoch(train) [60][35/63] lr: 1.0000e-04 eta: 20:41:47 time: 0.9233 data_time: 0.0340 memory: 25127 loss_text: 0.0646 loss_kernel: 0.0348 loss: 0.0995 2022/08/26 00:42:04 - mmengine - INFO - Epoch(train) [60][40/63] lr: 1.0000e-04 eta: 20:39:27 time: 0.8792 data_time: 0.0310 memory: 25127 loss_text: 0.0635 loss_kernel: 0.0352 loss: 0.0988 2022/08/26 00:42:08 - mmengine - INFO - Epoch(train) [60][45/63] lr: 1.0000e-04 eta: 20:39:27 time: 0.8548 data_time: 0.0281 memory: 25127 loss_text: 0.0578 loss_kernel: 0.0330 loss: 0.0908 2022/08/26 00:42:13 - mmengine - INFO - Epoch(train) [60][50/63] lr: 1.0000e-04 eta: 20:37:04 time: 0.8468 data_time: 0.0342 memory: 25127 loss_text: 0.0548 loss_kernel: 0.0316 loss: 0.0864 2022/08/26 00:42:17 - mmengine - INFO - Epoch(train) [60][55/63] lr: 1.0000e-04 eta: 20:37:04 time: 0.8258 data_time: 0.0262 memory: 25127 loss_text: 0.0528 loss_kernel: 0.0323 loss: 0.0852 2022/08/26 00:42:21 - mmengine - INFO - Epoch(train) [60][60/63] lr: 1.0000e-04 eta: 20:34:40 time: 0.8225 data_time: 0.0222 memory: 25127 loss_text: 0.0545 loss_kernel: 0.0324 loss: 0.0869 2022/08/26 00:42:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:42:24 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/26 00:43:57 - mmengine - INFO - Epoch(train) [61][5/63] lr: 1.0000e-04 eta: 20:34:40 time: 9.2152 data_time: 8.2914 memory: 25127 loss_text: 0.0488 loss_kernel: 0.0292 loss: 0.0780 2022/08/26 00:44:01 - mmengine - INFO - Epoch(train) [61][10/63] lr: 1.0000e-04 eta: 20:43:39 time: 9.1578 data_time: 8.3081 memory: 25127 loss_text: 0.0556 loss_kernel: 0.0323 loss: 0.0879 2022/08/26 00:44:06 - mmengine - INFO - Epoch(train) [61][15/63] lr: 1.0000e-04 eta: 20:43:39 time: 0.8930 data_time: 0.0365 memory: 25127 loss_text: 0.0608 loss_kernel: 0.0333 loss: 0.0941 2022/08/26 00:44:10 - mmengine - INFO - Epoch(train) [61][20/63] lr: 1.0000e-04 eta: 20:41:21 time: 0.8987 data_time: 0.0354 memory: 25127 loss_text: 0.0571 loss_kernel: 0.0329 loss: 0.0900 2022/08/26 00:44:14 - mmengine - INFO - Epoch(train) [61][25/63] lr: 1.0000e-04 eta: 20:41:21 time: 0.8631 data_time: 0.0355 memory: 25127 loss_text: 0.0528 loss_kernel: 0.0320 loss: 0.0848 2022/08/26 00:44:18 - mmengine - INFO - Epoch(train) [61][30/63] lr: 1.0000e-04 eta: 20:39:01 time: 0.8608 data_time: 0.0287 memory: 25127 loss_text: 0.0598 loss_kernel: 0.0335 loss: 0.0933 2022/08/26 00:44:23 - mmengine - INFO - Epoch(train) [61][35/63] lr: 1.0000e-04 eta: 20:39:01 time: 0.8611 data_time: 0.0256 memory: 25127 loss_text: 0.0661 loss_kernel: 0.0365 loss: 0.1026 2022/08/26 00:44:27 - mmengine - INFO - Epoch(train) [61][40/63] lr: 1.0000e-04 eta: 20:36:43 time: 0.8842 data_time: 0.0309 memory: 25127 loss_text: 0.0588 loss_kernel: 0.0347 loss: 0.0936 2022/08/26 00:44:32 - mmengine - INFO - Epoch(train) [61][45/63] lr: 1.0000e-04 eta: 20:36:43 time: 0.9012 data_time: 0.0388 memory: 25127 loss_text: 0.0516 loss_kernel: 0.0312 loss: 0.0828 2022/08/26 00:44:36 - mmengine - INFO - Epoch(train) [61][50/63] lr: 1.0000e-04 eta: 20:34:24 time: 0.8626 data_time: 0.0285 memory: 25127 loss_text: 0.0583 loss_kernel: 0.0330 loss: 0.0913 2022/08/26 00:44:40 - mmengine - INFO - Epoch(train) [61][55/63] lr: 1.0000e-04 eta: 20:34:24 time: 0.8474 data_time: 0.0235 memory: 25127 loss_text: 0.0604 loss_kernel: 0.0331 loss: 0.0935 2022/08/26 00:44:44 - mmengine - INFO - Epoch(train) [61][60/63] lr: 1.0000e-04 eta: 20:32:04 time: 0.8439 data_time: 0.0269 memory: 25127 loss_text: 0.0585 loss_kernel: 0.0326 loss: 0.0910 2022/08/26 00:44:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:46:18 - mmengine - INFO - Epoch(train) [62][5/63] lr: 1.0000e-04 eta: 20:32:04 time: 9.4815 data_time: 8.6809 memory: 25127 loss_text: 0.0486 loss_kernel: 0.0287 loss: 0.0773 2022/08/26 00:46:22 - mmengine - INFO - Epoch(train) [62][10/63] lr: 1.0000e-04 eta: 20:41:26 time: 9.5330 data_time: 8.7035 memory: 25127 loss_text: 0.0464 loss_kernel: 0.0274 loss: 0.0738 2022/08/26 00:46:26 - mmengine - INFO - Epoch(train) [62][15/63] lr: 1.0000e-04 eta: 20:41:26 time: 0.8468 data_time: 0.0365 memory: 25127 loss_text: 0.0504 loss_kernel: 0.0292 loss: 0.0795 2022/08/26 00:46:30 - mmengine - INFO - Epoch(train) [62][20/63] lr: 1.0000e-04 eta: 20:39:06 time: 0.8452 data_time: 0.0177 memory: 25127 loss_text: 0.0518 loss_kernel: 0.0313 loss: 0.0831 2022/08/26 00:46:35 - mmengine - INFO - Epoch(train) [62][25/63] lr: 1.0000e-04 eta: 20:39:06 time: 0.8794 data_time: 0.0390 memory: 25127 loss_text: 0.0472 loss_kernel: 0.0301 loss: 0.0773 2022/08/26 00:46:39 - mmengine - INFO - Epoch(train) [62][30/63] lr: 1.0000e-04 eta: 20:36:50 time: 0.8865 data_time: 0.0378 memory: 25127 loss_text: 0.0514 loss_kernel: 0.0308 loss: 0.0822 2022/08/26 00:46:44 - mmengine - INFO - Epoch(train) [62][35/63] lr: 1.0000e-04 eta: 20:36:50 time: 0.8643 data_time: 0.0260 memory: 25127 loss_text: 0.0525 loss_kernel: 0.0319 loss: 0.0844 2022/08/26 00:46:48 - mmengine - INFO - Epoch(train) [62][40/63] lr: 1.0000e-04 eta: 20:34:30 time: 0.8402 data_time: 0.0279 memory: 25127 loss_text: 0.0460 loss_kernel: 0.0285 loss: 0.0745 2022/08/26 00:46:52 - mmengine - INFO - Epoch(train) [62][45/63] lr: 1.0000e-04 eta: 20:34:30 time: 0.8720 data_time: 0.0292 memory: 25127 loss_text: 0.0546 loss_kernel: 0.0319 loss: 0.0865 2022/08/26 00:46:57 - mmengine - INFO - Epoch(train) [62][50/63] lr: 1.0000e-04 eta: 20:32:17 time: 0.9000 data_time: 0.0343 memory: 25127 loss_text: 0.0628 loss_kernel: 0.0352 loss: 0.0980 2022/08/26 00:47:01 - mmengine - INFO - Epoch(train) [62][55/63] lr: 1.0000e-04 eta: 20:32:17 time: 0.8611 data_time: 0.0317 memory: 25127 loss_text: 0.0672 loss_kernel: 0.0361 loss: 0.1033 2022/08/26 00:47:05 - mmengine - INFO - Epoch(train) [62][60/63] lr: 1.0000e-04 eta: 20:30:01 time: 0.8665 data_time: 0.0327 memory: 25127 loss_text: 0.0664 loss_kernel: 0.0360 loss: 0.1024 2022/08/26 00:47:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:48:36 - mmengine - INFO - Epoch(train) [63][5/63] lr: 1.0000e-04 eta: 20:30:01 time: 9.2163 data_time: 8.4180 memory: 25127 loss_text: 0.0686 loss_kernel: 0.0361 loss: 0.1048 2022/08/26 00:48:40 - mmengine - INFO - Epoch(train) [63][10/63] lr: 1.0000e-04 eta: 20:38:48 time: 9.2514 data_time: 8.4349 memory: 25127 loss_text: 0.0641 loss_kernel: 0.0343 loss: 0.0984 2022/08/26 00:48:45 - mmengine - INFO - Epoch(train) [63][15/63] lr: 1.0000e-04 eta: 20:38:48 time: 0.8573 data_time: 0.0326 memory: 25127 loss_text: 0.0641 loss_kernel: 0.0349 loss: 0.0991 2022/08/26 00:48:49 - mmengine - INFO - Epoch(train) [63][20/63] lr: 1.0000e-04 eta: 20:36:34 time: 0.8963 data_time: 0.0679 memory: 25127 loss_text: 0.0617 loss_kernel: 0.0336 loss: 0.0953 2022/08/26 00:48:54 - mmengine - INFO - Epoch(train) [63][25/63] lr: 1.0000e-04 eta: 20:36:34 time: 0.8956 data_time: 0.0724 memory: 25127 loss_text: 0.0635 loss_kernel: 0.0344 loss: 0.0979 2022/08/26 00:48:58 - mmengine - INFO - Epoch(train) [63][30/63] lr: 1.0000e-04 eta: 20:34:17 time: 0.8554 data_time: 0.0272 memory: 25127 loss_text: 0.0635 loss_kernel: 0.0368 loss: 0.1003 2022/08/26 00:49:02 - mmengine - INFO - Epoch(train) [63][35/63] lr: 1.0000e-04 eta: 20:34:17 time: 0.8287 data_time: 0.0301 memory: 25127 loss_text: 0.0566 loss_kernel: 0.0331 loss: 0.0897 2022/08/26 00:49:06 - mmengine - INFO - Epoch(train) [63][40/63] lr: 1.0000e-04 eta: 20:32:01 time: 0.8568 data_time: 0.0253 memory: 25127 loss_text: 0.0528 loss_kernel: 0.0291 loss: 0.0819 2022/08/26 00:49:10 - mmengine - INFO - Epoch(train) [63][45/63] lr: 1.0000e-04 eta: 20:32:01 time: 0.8530 data_time: 0.0238 memory: 25127 loss_text: 0.0560 loss_kernel: 0.0319 loss: 0.0879 2022/08/26 00:49:16 - mmengine - INFO - Epoch(train) [63][50/63] lr: 1.0000e-04 eta: 20:29:52 time: 0.9319 data_time: 0.0323 memory: 25127 loss_text: 0.0599 loss_kernel: 0.0349 loss: 0.0948 2022/08/26 00:49:20 - mmengine - INFO - Epoch(train) [63][55/63] lr: 1.0000e-04 eta: 20:29:52 time: 0.9423 data_time: 0.0276 memory: 25127 loss_text: 0.0624 loss_kernel: 0.0362 loss: 0.0985 2022/08/26 00:49:24 - mmengine - INFO - Epoch(train) [63][60/63] lr: 1.0000e-04 eta: 20:27:36 time: 0.8365 data_time: 0.0203 memory: 25127 loss_text: 0.0577 loss_kernel: 0.0332 loss: 0.0909 2022/08/26 00:49:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:50:54 - mmengine - INFO - Epoch(train) [64][5/63] lr: 1.0000e-04 eta: 20:27:36 time: 9.1783 data_time: 8.3980 memory: 25127 loss_text: 0.0582 loss_kernel: 0.0308 loss: 0.0889 2022/08/26 00:50:59 - mmengine - INFO - Epoch(train) [64][10/63] lr: 1.0000e-04 eta: 20:36:14 time: 9.2597 data_time: 8.4183 memory: 25127 loss_text: 0.0525 loss_kernel: 0.0300 loss: 0.0825 2022/08/26 00:51:03 - mmengine - INFO - Epoch(train) [64][15/63] lr: 1.0000e-04 eta: 20:36:14 time: 0.9086 data_time: 0.0437 memory: 25127 loss_text: 0.0495 loss_kernel: 0.0316 loss: 0.0812 2022/08/26 00:51:08 - mmengine - INFO - Epoch(train) [64][20/63] lr: 1.0000e-04 eta: 20:34:02 time: 0.8940 data_time: 0.0398 memory: 25127 loss_text: 0.0562 loss_kernel: 0.0333 loss: 0.0895 2022/08/26 00:51:12 - mmengine - INFO - Epoch(train) [64][25/63] lr: 1.0000e-04 eta: 20:34:02 time: 0.8541 data_time: 0.0420 memory: 25127 loss_text: 0.0596 loss_kernel: 0.0344 loss: 0.0940 2022/08/26 00:51:16 - mmengine - INFO - Epoch(train) [64][30/63] lr: 1.0000e-04 eta: 20:31:46 time: 0.8352 data_time: 0.0270 memory: 25127 loss_text: 0.0558 loss_kernel: 0.0332 loss: 0.0889 2022/08/26 00:51:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:51:20 - mmengine - INFO - Epoch(train) [64][35/63] lr: 1.0000e-04 eta: 20:31:46 time: 0.8346 data_time: 0.0228 memory: 25127 loss_text: 0.0522 loss_kernel: 0.0303 loss: 0.0825 2022/08/26 00:51:25 - mmengine - INFO - Epoch(train) [64][40/63] lr: 1.0000e-04 eta: 20:29:31 time: 0.8482 data_time: 0.0235 memory: 25127 loss_text: 0.0513 loss_kernel: 0.0312 loss: 0.0825 2022/08/26 00:51:29 - mmengine - INFO - Epoch(train) [64][45/63] lr: 1.0000e-04 eta: 20:29:31 time: 0.8477 data_time: 0.0238 memory: 25127 loss_text: 0.0516 loss_kernel: 0.0323 loss: 0.0839 2022/08/26 00:51:33 - mmengine - INFO - Epoch(train) [64][50/63] lr: 1.0000e-04 eta: 20:27:16 time: 0.8405 data_time: 0.0268 memory: 25127 loss_text: 0.0564 loss_kernel: 0.0323 loss: 0.0887 2022/08/26 00:51:37 - mmengine - INFO - Epoch(train) [64][55/63] lr: 1.0000e-04 eta: 20:27:16 time: 0.8471 data_time: 0.0246 memory: 25127 loss_text: 0.0580 loss_kernel: 0.0316 loss: 0.0896 2022/08/26 00:51:42 - mmengine - INFO - Epoch(train) [64][60/63] lr: 1.0000e-04 eta: 20:25:04 time: 0.8626 data_time: 0.0272 memory: 25127 loss_text: 0.0511 loss_kernel: 0.0293 loss: 0.0804 2022/08/26 00:51:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:53:12 - mmengine - INFO - Epoch(train) [65][5/63] lr: 1.0000e-04 eta: 20:25:04 time: 9.1898 data_time: 8.3515 memory: 25127 loss_text: 0.0460 loss_kernel: 0.0289 loss: 0.0749 2022/08/26 00:53:16 - mmengine - INFO - Epoch(train) [65][10/63] lr: 1.0000e-04 eta: 20:33:30 time: 9.2277 data_time: 8.3612 memory: 25127 loss_text: 0.0451 loss_kernel: 0.0273 loss: 0.0723 2022/08/26 00:53:21 - mmengine - INFO - Epoch(train) [65][15/63] lr: 1.0000e-04 eta: 20:33:30 time: 0.8649 data_time: 0.0422 memory: 25127 loss_text: 0.0483 loss_kernel: 0.0287 loss: 0.0770 2022/08/26 00:53:25 - mmengine - INFO - Epoch(train) [65][20/63] lr: 1.0000e-04 eta: 20:31:20 time: 0.8890 data_time: 0.0500 memory: 25127 loss_text: 0.0478 loss_kernel: 0.0292 loss: 0.0770 2022/08/26 00:53:29 - mmengine - INFO - Epoch(train) [65][25/63] lr: 1.0000e-04 eta: 20:31:20 time: 0.8897 data_time: 0.0435 memory: 25127 loss_text: 0.0435 loss_kernel: 0.0267 loss: 0.0702 2022/08/26 00:53:34 - mmengine - INFO - Epoch(train) [65][30/63] lr: 1.0000e-04 eta: 20:29:11 time: 0.9025 data_time: 0.0245 memory: 25127 loss_text: 0.0453 loss_kernel: 0.0272 loss: 0.0725 2022/08/26 00:53:38 - mmengine - INFO - Epoch(train) [65][35/63] lr: 1.0000e-04 eta: 20:29:11 time: 0.8876 data_time: 0.0259 memory: 25127 loss_text: 0.0502 loss_kernel: 0.0299 loss: 0.0801 2022/08/26 00:53:43 - mmengine - INFO - Epoch(train) [65][40/63] lr: 1.0000e-04 eta: 20:26:59 time: 0.8571 data_time: 0.0302 memory: 25127 loss_text: 0.0544 loss_kernel: 0.0323 loss: 0.0868 2022/08/26 00:53:47 - mmengine - INFO - Epoch(train) [65][45/63] lr: 1.0000e-04 eta: 20:26:59 time: 0.8677 data_time: 0.0428 memory: 25127 loss_text: 0.0496 loss_kernel: 0.0317 loss: 0.0813 2022/08/26 00:53:51 - mmengine - INFO - Epoch(train) [65][50/63] lr: 1.0000e-04 eta: 20:24:48 time: 0.8619 data_time: 0.0372 memory: 25127 loss_text: 0.0483 loss_kernel: 0.0306 loss: 0.0789 2022/08/26 00:53:56 - mmengine - INFO - Epoch(train) [65][55/63] lr: 1.0000e-04 eta: 20:24:48 time: 0.8572 data_time: 0.0269 memory: 25127 loss_text: 0.0516 loss_kernel: 0.0319 loss: 0.0835 2022/08/26 00:54:00 - mmengine - INFO - Epoch(train) [65][60/63] lr: 1.0000e-04 eta: 20:22:39 time: 0.8814 data_time: 0.0390 memory: 25127 loss_text: 0.0493 loss_kernel: 0.0316 loss: 0.0809 2022/08/26 00:54:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:55:31 - mmengine - INFO - Epoch(train) [66][5/63] lr: 1.0000e-04 eta: 20:22:39 time: 9.2021 data_time: 8.4103 memory: 25127 loss_text: 0.0431 loss_kernel: 0.0291 loss: 0.0722 2022/08/26 00:55:35 - mmengine - INFO - Epoch(train) [66][10/63] lr: 1.0000e-04 eta: 20:30:58 time: 9.2481 data_time: 8.4303 memory: 25127 loss_text: 0.0447 loss_kernel: 0.0288 loss: 0.0735 2022/08/26 00:55:39 - mmengine - INFO - Epoch(train) [66][15/63] lr: 1.0000e-04 eta: 20:30:58 time: 0.8386 data_time: 0.0331 memory: 25127 loss_text: 0.0505 loss_kernel: 0.0313 loss: 0.0817 2022/08/26 00:55:43 - mmengine - INFO - Epoch(train) [66][20/63] lr: 1.0000e-04 eta: 20:28:43 time: 0.8152 data_time: 0.0190 memory: 25127 loss_text: 0.0558 loss_kernel: 0.0331 loss: 0.0889 2022/08/26 00:55:47 - mmengine - INFO - Epoch(train) [66][25/63] lr: 1.0000e-04 eta: 20:28:43 time: 0.8255 data_time: 0.0305 memory: 25127 loss_text: 0.0541 loss_kernel: 0.0316 loss: 0.0857 2022/08/26 00:55:51 - mmengine - INFO - Epoch(train) [66][30/63] lr: 1.0000e-04 eta: 20:26:29 time: 0.8165 data_time: 0.0290 memory: 25127 loss_text: 0.0475 loss_kernel: 0.0288 loss: 0.0763 2022/08/26 00:55:56 - mmengine - INFO - Epoch(train) [66][35/63] lr: 1.0000e-04 eta: 20:26:29 time: 0.8962 data_time: 0.0362 memory: 25127 loss_text: 0.0462 loss_kernel: 0.0290 loss: 0.0752 2022/08/26 00:56:00 - mmengine - INFO - Epoch(train) [66][40/63] lr: 1.0000e-04 eta: 20:24:22 time: 0.8928 data_time: 0.0354 memory: 25127 loss_text: 0.0566 loss_kernel: 0.0326 loss: 0.0892 2022/08/26 00:56:05 - mmengine - INFO - Epoch(train) [66][45/63] lr: 1.0000e-04 eta: 20:24:22 time: 0.8923 data_time: 0.0267 memory: 25127 loss_text: 0.0581 loss_kernel: 0.0327 loss: 0.0908 2022/08/26 00:56:09 - mmengine - INFO - Epoch(train) [66][50/63] lr: 1.0000e-04 eta: 20:22:16 time: 0.8977 data_time: 0.0302 memory: 25127 loss_text: 0.0586 loss_kernel: 0.0329 loss: 0.0915 2022/08/26 00:56:14 - mmengine - INFO - Epoch(train) [66][55/63] lr: 1.0000e-04 eta: 20:22:16 time: 0.8522 data_time: 0.0238 memory: 25127 loss_text: 0.0605 loss_kernel: 0.0337 loss: 0.0943 2022/08/26 00:56:18 - mmengine - INFO - Epoch(train) [66][60/63] lr: 1.0000e-04 eta: 20:20:08 time: 0.8711 data_time: 0.0214 memory: 25127 loss_text: 0.0553 loss_kernel: 0.0314 loss: 0.0867 2022/08/26 00:56:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 00:57:48 - mmengine - INFO - Epoch(train) [67][5/63] lr: 1.0000e-04 eta: 20:20:08 time: 9.1531 data_time: 8.3630 memory: 25127 loss_text: 0.0556 loss_kernel: 0.0321 loss: 0.0877 2022/08/26 00:57:52 - mmengine - INFO - Epoch(train) [67][10/63] lr: 1.0000e-04 eta: 20:28:16 time: 9.2155 data_time: 8.3756 memory: 25127 loss_text: 0.0481 loss_kernel: 0.0289 loss: 0.0771 2022/08/26 00:57:57 - mmengine - INFO - Epoch(train) [67][15/63] lr: 1.0000e-04 eta: 20:28:16 time: 0.8835 data_time: 0.0323 memory: 25127 loss_text: 0.0507 loss_kernel: 0.0303 loss: 0.0809 2022/08/26 00:58:01 - mmengine - INFO - Epoch(train) [67][20/63] lr: 1.0000e-04 eta: 20:26:09 time: 0.8867 data_time: 0.0359 memory: 25127 loss_text: 0.0478 loss_kernel: 0.0298 loss: 0.0776 2022/08/26 00:58:06 - mmengine - INFO - Epoch(train) [67][25/63] lr: 1.0000e-04 eta: 20:26:09 time: 0.8780 data_time: 0.0458 memory: 25127 loss_text: 0.0459 loss_kernel: 0.0286 loss: 0.0745 2022/08/26 00:58:10 - mmengine - INFO - Epoch(train) [67][30/63] lr: 1.0000e-04 eta: 20:24:02 time: 0.8868 data_time: 0.0356 memory: 25127 loss_text: 0.0522 loss_kernel: 0.0305 loss: 0.0827 2022/08/26 00:58:14 - mmengine - INFO - Epoch(train) [67][35/63] lr: 1.0000e-04 eta: 20:24:02 time: 0.8721 data_time: 0.0304 memory: 25127 loss_text: 0.0525 loss_kernel: 0.0306 loss: 0.0832 2022/08/26 00:58:18 - mmengine - INFO - Epoch(train) [67][40/63] lr: 1.0000e-04 eta: 20:21:54 time: 0.8502 data_time: 0.0308 memory: 25127 loss_text: 0.0488 loss_kernel: 0.0301 loss: 0.0789 2022/08/26 00:58:23 - mmengine - INFO - Epoch(train) [67][45/63] lr: 1.0000e-04 eta: 20:21:54 time: 0.8479 data_time: 0.0287 memory: 25127 loss_text: 0.0486 loss_kernel: 0.0298 loss: 0.0784 2022/08/26 00:58:27 - mmengine - INFO - Epoch(train) [67][50/63] lr: 1.0000e-04 eta: 20:19:46 time: 0.8531 data_time: 0.0246 memory: 25127 loss_text: 0.0555 loss_kernel: 0.0331 loss: 0.0886 2022/08/26 00:58:31 - mmengine - INFO - Epoch(train) [67][55/63] lr: 1.0000e-04 eta: 20:19:46 time: 0.8563 data_time: 0.0303 memory: 25127 loss_text: 0.0576 loss_kernel: 0.0333 loss: 0.0908 2022/08/26 00:58:36 - mmengine - INFO - Epoch(train) [67][60/63] lr: 1.0000e-04 eta: 20:17:41 time: 0.8852 data_time: 0.0316 memory: 25127 loss_text: 0.0523 loss_kernel: 0.0299 loss: 0.0822 2022/08/26 00:58:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:00:05 - mmengine - INFO - Epoch(train) [68][5/63] lr: 1.0000e-04 eta: 20:17:41 time: 9.0879 data_time: 8.3038 memory: 25127 loss_text: 0.0467 loss_kernel: 0.0278 loss: 0.0745 2022/08/26 01:00:10 - mmengine - INFO - Epoch(train) [68][10/63] lr: 1.0000e-04 eta: 20:25:35 time: 9.1640 data_time: 8.3242 memory: 25127 loss_text: 0.0520 loss_kernel: 0.0308 loss: 0.0828 2022/08/26 01:00:14 - mmengine - INFO - Epoch(train) [68][15/63] lr: 1.0000e-04 eta: 20:25:35 time: 0.8543 data_time: 0.0331 memory: 25127 loss_text: 0.0520 loss_kernel: 0.0328 loss: 0.0848 2022/08/26 01:00:18 - mmengine - INFO - Epoch(train) [68][20/63] lr: 1.0000e-04 eta: 20:23:28 time: 0.8591 data_time: 0.0208 memory: 25127 loss_text: 0.0537 loss_kernel: 0.0327 loss: 0.0864 2022/08/26 01:00:23 - mmengine - INFO - Epoch(train) [68][25/63] lr: 1.0000e-04 eta: 20:23:28 time: 0.8700 data_time: 0.0334 memory: 25127 loss_text: 0.0606 loss_kernel: 0.0330 loss: 0.0936 2022/08/26 01:00:27 - mmengine - INFO - Epoch(train) [68][30/63] lr: 1.0000e-04 eta: 20:21:22 time: 0.8614 data_time: 0.0297 memory: 25127 loss_text: 0.0602 loss_kernel: 0.0338 loss: 0.0940 2022/08/26 01:00:31 - mmengine - INFO - Epoch(train) [68][35/63] lr: 1.0000e-04 eta: 20:21:22 time: 0.8543 data_time: 0.0315 memory: 25127 loss_text: 0.0531 loss_kernel: 0.0313 loss: 0.0843 2022/08/26 01:00:35 - mmengine - INFO - Epoch(train) [68][40/63] lr: 1.0000e-04 eta: 20:19:14 time: 0.8420 data_time: 0.0292 memory: 25127 loss_text: 0.0529 loss_kernel: 0.0302 loss: 0.0831 2022/08/26 01:00:40 - mmengine - INFO - Epoch(train) [68][45/63] lr: 1.0000e-04 eta: 20:19:14 time: 0.8448 data_time: 0.0280 memory: 25127 loss_text: 0.0512 loss_kernel: 0.0308 loss: 0.0820 2022/08/26 01:00:44 - mmengine - INFO - Epoch(train) [68][50/63] lr: 1.0000e-04 eta: 20:17:08 time: 0.8519 data_time: 0.0326 memory: 25127 loss_text: 0.0461 loss_kernel: 0.0288 loss: 0.0748 2022/08/26 01:00:48 - mmengine - INFO - Epoch(train) [68][55/63] lr: 1.0000e-04 eta: 20:17:08 time: 0.8742 data_time: 0.0281 memory: 25127 loss_text: 0.0543 loss_kernel: 0.0321 loss: 0.0864 2022/08/26 01:00:52 - mmengine - INFO - Epoch(train) [68][60/63] lr: 1.0000e-04 eta: 20:15:03 time: 0.8634 data_time: 0.0206 memory: 25127 loss_text: 0.0587 loss_kernel: 0.0345 loss: 0.0932 2022/08/26 01:00:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:02:21 - mmengine - INFO - Epoch(train) [69][5/63] lr: 1.0000e-04 eta: 20:15:03 time: 9.0502 data_time: 8.2722 memory: 25127 loss_text: 0.0476 loss_kernel: 0.0286 loss: 0.0762 2022/08/26 01:02:26 - mmengine - INFO - Epoch(train) [69][10/63] lr: 1.0000e-04 eta: 20:22:44 time: 9.0990 data_time: 8.2949 memory: 25127 loss_text: 0.0441 loss_kernel: 0.0264 loss: 0.0705 2022/08/26 01:02:30 - mmengine - INFO - Epoch(train) [69][15/63] lr: 1.0000e-04 eta: 20:22:44 time: 0.8357 data_time: 0.0378 memory: 25127 loss_text: 0.0473 loss_kernel: 0.0282 loss: 0.0754 2022/08/26 01:02:35 - mmengine - INFO - Epoch(train) [69][20/63] lr: 1.0000e-04 eta: 20:20:43 time: 0.9187 data_time: 0.0227 memory: 25127 loss_text: 0.0496 loss_kernel: 0.0298 loss: 0.0794 2022/08/26 01:02:39 - mmengine - INFO - Epoch(train) [69][25/63] lr: 1.0000e-04 eta: 20:20:43 time: 0.9277 data_time: 0.0323 memory: 25127 loss_text: 0.0476 loss_kernel: 0.0295 loss: 0.0770 2022/08/26 01:02:43 - mmengine - INFO - Epoch(train) [69][30/63] lr: 1.0000e-04 eta: 20:18:35 time: 0.8158 data_time: 0.0279 memory: 25127 loss_text: 0.0471 loss_kernel: 0.0295 loss: 0.0766 2022/08/26 01:02:47 - mmengine - INFO - Epoch(train) [69][35/63] lr: 1.0000e-04 eta: 20:18:35 time: 0.7883 data_time: 0.0267 memory: 25127 loss_text: 0.0509 loss_kernel: 0.0312 loss: 0.0821 2022/08/26 01:02:51 - mmengine - INFO - Epoch(train) [69][40/63] lr: 1.0000e-04 eta: 20:16:26 time: 0.7964 data_time: 0.0291 memory: 25127 loss_text: 0.0546 loss_kernel: 0.0317 loss: 0.0864 2022/08/26 01:02:57 - mmengine - INFO - Epoch(train) [69][45/63] lr: 1.0000e-04 eta: 20:16:26 time: 0.9703 data_time: 0.0338 memory: 25127 loss_text: 0.0577 loss_kernel: 0.0332 loss: 0.0909 2022/08/26 01:03:01 - mmengine - INFO - Epoch(train) [69][50/63] lr: 1.0000e-04 eta: 20:14:33 time: 0.9974 data_time: 0.0405 memory: 25127 loss_text: 0.0678 loss_kernel: 0.0337 loss: 0.1015 2022/08/26 01:03:05 - mmengine - INFO - Epoch(train) [69][55/63] lr: 1.0000e-04 eta: 20:14:33 time: 0.8629 data_time: 0.0311 memory: 25127 loss_text: 0.0731 loss_kernel: 0.0348 loss: 0.1078 2022/08/26 01:03:09 - mmengine - INFO - Epoch(train) [69][60/63] lr: 1.0000e-04 eta: 20:12:28 time: 0.8407 data_time: 0.0219 memory: 25127 loss_text: 0.0703 loss_kernel: 0.0371 loss: 0.1074 2022/08/26 01:03:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:04:38 - mmengine - INFO - Epoch(train) [70][5/63] lr: 1.0000e-04 eta: 20:12:28 time: 9.0443 data_time: 8.2703 memory: 25127 loss_text: 0.0692 loss_kernel: 0.0368 loss: 0.1060 2022/08/26 01:04:43 - mmengine - INFO - Epoch(train) [70][10/63] lr: 1.0000e-04 eta: 20:20:03 time: 9.1247 data_time: 8.2923 memory: 25127 loss_text: 0.0633 loss_kernel: 0.0339 loss: 0.0972 2022/08/26 01:04:47 - mmengine - INFO - Epoch(train) [70][15/63] lr: 1.0000e-04 eta: 20:20:03 time: 0.8966 data_time: 0.0339 memory: 25127 loss_text: 0.0574 loss_kernel: 0.0317 loss: 0.0891 2022/08/26 01:04:52 - mmengine - INFO - Epoch(train) [70][20/63] lr: 1.0000e-04 eta: 20:18:01 time: 0.8825 data_time: 0.0241 memory: 25127 loss_text: 0.0530 loss_kernel: 0.0303 loss: 0.0833 2022/08/26 01:04:56 - mmengine - INFO - Epoch(train) [70][25/63] lr: 1.0000e-04 eta: 20:18:01 time: 0.8467 data_time: 0.0264 memory: 25127 loss_text: 0.0576 loss_kernel: 0.0315 loss: 0.0891 2022/08/26 01:05:00 - mmengine - INFO - Epoch(train) [70][30/63] lr: 1.0000e-04 eta: 20:15:59 time: 0.8695 data_time: 0.0266 memory: 25127 loss_text: 0.0576 loss_kernel: 0.0308 loss: 0.0884 2022/08/26 01:05:05 - mmengine - INFO - Epoch(train) [70][35/63] lr: 1.0000e-04 eta: 20:15:59 time: 0.8784 data_time: 0.0407 memory: 25127 loss_text: 0.0540 loss_kernel: 0.0311 loss: 0.0851 2022/08/26 01:05:09 - mmengine - INFO - Epoch(train) [70][40/63] lr: 1.0000e-04 eta: 20:13:57 time: 0.8677 data_time: 0.0332 memory: 25127 loss_text: 0.0568 loss_kernel: 0.0327 loss: 0.0895 2022/08/26 01:05:13 - mmengine - INFO - Epoch(train) [70][45/63] lr: 1.0000e-04 eta: 20:13:57 time: 0.8433 data_time: 0.0218 memory: 25127 loss_text: 0.0526 loss_kernel: 0.0315 loss: 0.0841 2022/08/26 01:05:17 - mmengine - INFO - Epoch(train) [70][50/63] lr: 1.0000e-04 eta: 20:11:54 time: 0.8437 data_time: 0.0272 memory: 25127 loss_text: 0.0471 loss_kernel: 0.0297 loss: 0.0769 2022/08/26 01:05:22 - mmengine - INFO - Epoch(train) [70][55/63] lr: 1.0000e-04 eta: 20:11:54 time: 0.8567 data_time: 0.0277 memory: 25127 loss_text: 0.0545 loss_kernel: 0.0313 loss: 0.0858 2022/08/26 01:05:26 - mmengine - INFO - Epoch(train) [70][60/63] lr: 1.0000e-04 eta: 20:09:51 time: 0.8412 data_time: 0.0228 memory: 25127 loss_text: 0.0563 loss_kernel: 0.0323 loss: 0.0886 2022/08/26 01:05:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:06:55 - mmengine - INFO - Epoch(train) [71][5/63] lr: 1.0000e-04 eta: 20:09:51 time: 9.0850 data_time: 8.2921 memory: 25127 loss_text: 0.0512 loss_kernel: 0.0302 loss: 0.0814 2022/08/26 01:07:00 - mmengine - INFO - Epoch(train) [71][10/63] lr: 1.0000e-04 eta: 20:17:23 time: 9.1880 data_time: 8.3296 memory: 25127 loss_text: 0.0516 loss_kernel: 0.0306 loss: 0.0822 2022/08/26 01:07:05 - mmengine - INFO - Epoch(train) [71][15/63] lr: 1.0000e-04 eta: 20:17:23 time: 0.9963 data_time: 0.0527 memory: 25127 loss_text: 0.0522 loss_kernel: 0.0311 loss: 0.0833 2022/08/26 01:07:09 - mmengine - INFO - Epoch(train) [71][20/63] lr: 1.0000e-04 eta: 20:15:27 time: 0.9443 data_time: 0.0223 memory: 25127 loss_text: 0.0505 loss_kernel: 0.0299 loss: 0.0804 2022/08/26 01:07:14 - mmengine - INFO - Epoch(train) [71][25/63] lr: 1.0000e-04 eta: 20:15:27 time: 0.8405 data_time: 0.0319 memory: 25127 loss_text: 0.0537 loss_kernel: 0.0312 loss: 0.0850 2022/08/26 01:07:18 - mmengine - INFO - Epoch(train) [71][30/63] lr: 1.0000e-04 eta: 20:13:27 time: 0.8737 data_time: 0.0305 memory: 25127 loss_text: 0.0535 loss_kernel: 0.0314 loss: 0.0848 2022/08/26 01:07:22 - mmengine - INFO - Epoch(train) [71][35/63] lr: 1.0000e-04 eta: 20:13:27 time: 0.8728 data_time: 0.0251 memory: 25127 loss_text: 0.0499 loss_kernel: 0.0305 loss: 0.0804 2022/08/26 01:07:27 - mmengine - INFO - Epoch(train) [71][40/63] lr: 1.0000e-04 eta: 20:11:27 time: 0.8713 data_time: 0.0256 memory: 25127 loss_text: 0.0457 loss_kernel: 0.0287 loss: 0.0744 2022/08/26 01:07:31 - mmengine - INFO - Epoch(train) [71][45/63] lr: 1.0000e-04 eta: 20:11:27 time: 0.8698 data_time: 0.0290 memory: 25127 loss_text: 0.0509 loss_kernel: 0.0297 loss: 0.0806 2022/08/26 01:07:35 - mmengine - INFO - Epoch(train) [71][50/63] lr: 1.0000e-04 eta: 20:09:26 time: 0.8559 data_time: 0.0273 memory: 25127 loss_text: 0.0497 loss_kernel: 0.0288 loss: 0.0785 2022/08/26 01:07:40 - mmengine - INFO - Epoch(train) [71][55/63] lr: 1.0000e-04 eta: 20:09:26 time: 0.8636 data_time: 0.0246 memory: 25127 loss_text: 0.0442 loss_kernel: 0.0275 loss: 0.0717 2022/08/26 01:07:44 - mmengine - INFO - Epoch(train) [71][60/63] lr: 1.0000e-04 eta: 20:07:26 time: 0.8583 data_time: 0.0215 memory: 25127 loss_text: 0.0474 loss_kernel: 0.0296 loss: 0.0770 2022/08/26 01:07:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:09:13 - mmengine - INFO - Epoch(train) [72][5/63] lr: 1.0000e-04 eta: 20:07:26 time: 9.1158 data_time: 8.3228 memory: 25127 loss_text: 0.0475 loss_kernel: 0.0277 loss: 0.0752 2022/08/26 01:09:18 - mmengine - INFO - Epoch(train) [72][10/63] lr: 1.0000e-04 eta: 20:14:49 time: 9.1695 data_time: 8.3426 memory: 25127 loss_text: 0.0451 loss_kernel: 0.0269 loss: 0.0720 2022/08/26 01:09:22 - mmengine - INFO - Epoch(train) [72][15/63] lr: 1.0000e-04 eta: 20:14:49 time: 0.8277 data_time: 0.0326 memory: 25127 loss_text: 0.0601 loss_kernel: 0.0337 loss: 0.0938 2022/08/26 01:09:27 - mmengine - INFO - Epoch(train) [72][20/63] lr: 1.0000e-04 eta: 20:12:56 time: 0.9578 data_time: 0.0222 memory: 25127 loss_text: 0.0724 loss_kernel: 0.0394 loss: 0.1118 2022/08/26 01:09:32 - mmengine - INFO - Epoch(train) [72][25/63] lr: 1.0000e-04 eta: 20:12:56 time: 0.9885 data_time: 0.0303 memory: 25127 loss_text: 0.0600 loss_kernel: 0.0338 loss: 0.0938 2022/08/26 01:09:36 - mmengine - INFO - Epoch(train) [72][30/63] lr: 1.0000e-04 eta: 20:10:56 time: 0.8542 data_time: 0.0267 memory: 25127 loss_text: 0.0496 loss_kernel: 0.0293 loss: 0.0789 2022/08/26 01:09:40 - mmengine - INFO - Epoch(train) [72][35/63] lr: 1.0000e-04 eta: 20:10:56 time: 0.8592 data_time: 0.0344 memory: 25127 loss_text: 0.0469 loss_kernel: 0.0290 loss: 0.0759 2022/08/26 01:09:44 - mmengine - INFO - Epoch(train) [72][40/63] lr: 1.0000e-04 eta: 20:08:56 time: 0.8544 data_time: 0.0320 memory: 25127 loss_text: 0.0444 loss_kernel: 0.0289 loss: 0.0733 2022/08/26 01:09:49 - mmengine - INFO - Epoch(train) [72][45/63] lr: 1.0000e-04 eta: 20:08:56 time: 0.8733 data_time: 0.0287 memory: 25127 loss_text: 0.0540 loss_kernel: 0.0332 loss: 0.0872 2022/08/26 01:09:53 - mmengine - INFO - Epoch(train) [72][50/63] lr: 1.0000e-04 eta: 20:06:58 time: 0.8756 data_time: 0.0345 memory: 25127 loss_text: 0.0522 loss_kernel: 0.0335 loss: 0.0857 2022/08/26 01:09:57 - mmengine - INFO - Epoch(train) [72][55/63] lr: 1.0000e-04 eta: 20:06:58 time: 0.8425 data_time: 0.0259 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0275 loss: 0.0686 2022/08/26 01:10:02 - mmengine - INFO - Epoch(train) [72][60/63] lr: 1.0000e-04 eta: 20:04:59 time: 0.8463 data_time: 0.0197 memory: 25127 loss_text: 0.0443 loss_kernel: 0.0274 loss: 0.0717 2022/08/26 01:10:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:11:32 - mmengine - INFO - Epoch(train) [73][5/63] lr: 1.0000e-04 eta: 20:04:59 time: 9.1546 data_time: 8.3163 memory: 25127 loss_text: 0.0482 loss_kernel: 0.0292 loss: 0.0774 2022/08/26 01:11:36 - mmengine - INFO - Epoch(train) [73][10/63] lr: 1.0000e-04 eta: 20:12:20 time: 9.2349 data_time: 8.3465 memory: 25127 loss_text: 0.0436 loss_kernel: 0.0276 loss: 0.0711 2022/08/26 01:11:41 - mmengine - INFO - Epoch(train) [73][15/63] lr: 1.0000e-04 eta: 20:12:20 time: 0.8997 data_time: 0.0394 memory: 25127 loss_text: 0.0563 loss_kernel: 0.0336 loss: 0.0900 2022/08/26 01:11:45 - mmengine - INFO - Epoch(train) [73][20/63] lr: 1.0000e-04 eta: 20:10:23 time: 0.8841 data_time: 0.0285 memory: 25127 loss_text: 0.0583 loss_kernel: 0.0350 loss: 0.0933 2022/08/26 01:11:50 - mmengine - INFO - Epoch(train) [73][25/63] lr: 1.0000e-04 eta: 20:10:23 time: 0.8910 data_time: 0.0401 memory: 25127 loss_text: 0.0545 loss_kernel: 0.0333 loss: 0.0878 2022/08/26 01:11:54 - mmengine - INFO - Epoch(train) [73][30/63] lr: 1.0000e-04 eta: 20:08:26 time: 0.8790 data_time: 0.0369 memory: 25127 loss_text: 0.0499 loss_kernel: 0.0314 loss: 0.0813 2022/08/26 01:11:58 - mmengine - INFO - Epoch(train) [73][35/63] lr: 1.0000e-04 eta: 20:08:26 time: 0.8814 data_time: 0.0316 memory: 25127 loss_text: 0.0474 loss_kernel: 0.0300 loss: 0.0774 2022/08/26 01:12:03 - mmengine - INFO - Epoch(train) [73][40/63] lr: 1.0000e-04 eta: 20:06:29 time: 0.8769 data_time: 0.0275 memory: 25127 loss_text: 0.0469 loss_kernel: 0.0290 loss: 0.0758 2022/08/26 01:12:07 - mmengine - INFO - Epoch(train) [73][45/63] lr: 1.0000e-04 eta: 20:06:29 time: 0.8455 data_time: 0.0330 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0269 loss: 0.0680 2022/08/26 01:12:11 - mmengine - INFO - Epoch(train) [73][50/63] lr: 1.0000e-04 eta: 20:04:31 time: 0.8522 data_time: 0.0367 memory: 25127 loss_text: 0.0458 loss_kernel: 0.0295 loss: 0.0753 2022/08/26 01:12:16 - mmengine - INFO - Epoch(train) [73][55/63] lr: 1.0000e-04 eta: 20:04:31 time: 0.9246 data_time: 0.0370 memory: 25127 loss_text: 0.0452 loss_kernel: 0.0284 loss: 0.0736 2022/08/26 01:12:20 - mmengine - INFO - Epoch(train) [73][60/63] lr: 1.0000e-04 eta: 20:02:39 time: 0.9234 data_time: 0.0257 memory: 25127 loss_text: 0.0419 loss_kernel: 0.0264 loss: 0.0683 2022/08/26 01:12:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:13:50 - mmengine - INFO - Epoch(train) [74][5/63] lr: 1.0000e-04 eta: 20:02:39 time: 9.1379 data_time: 8.3300 memory: 25127 loss_text: 0.0430 loss_kernel: 0.0293 loss: 0.0723 2022/08/26 01:13:54 - mmengine - INFO - Epoch(train) [74][10/63] lr: 1.0000e-04 eta: 20:09:49 time: 9.1799 data_time: 8.3357 memory: 25127 loss_text: 0.0485 loss_kernel: 0.0294 loss: 0.0779 2022/08/26 01:13:59 - mmengine - INFO - Epoch(train) [74][15/63] lr: 1.0000e-04 eta: 20:09:49 time: 0.9070 data_time: 0.0776 memory: 25127 loss_text: 0.0502 loss_kernel: 0.0294 loss: 0.0796 2022/08/26 01:14:04 - mmengine - INFO - Epoch(train) [74][20/63] lr: 1.0000e-04 eta: 20:07:55 time: 0.9164 data_time: 0.0851 memory: 25127 loss_text: 0.0503 loss_kernel: 0.0298 loss: 0.0802 2022/08/26 01:14:08 - mmengine - INFO - Epoch(train) [74][25/63] lr: 1.0000e-04 eta: 20:07:55 time: 0.8708 data_time: 0.0275 memory: 25127 loss_text: 0.0668 loss_kernel: 0.0358 loss: 0.1026 2022/08/26 01:14:12 - mmengine - INFO - Epoch(train) [74][30/63] lr: 1.0000e-04 eta: 20:05:59 time: 0.8677 data_time: 0.0265 memory: 25127 loss_text: 0.0661 loss_kernel: 0.0335 loss: 0.0996 2022/08/26 01:14:16 - mmengine - INFO - Epoch(train) [74][35/63] lr: 1.0000e-04 eta: 20:05:59 time: 0.8386 data_time: 0.0260 memory: 25127 loss_text: 0.0493 loss_kernel: 0.0289 loss: 0.0782 2022/08/26 01:14:21 - mmengine - INFO - Epoch(train) [74][40/63] lr: 1.0000e-04 eta: 20:04:03 time: 0.8561 data_time: 0.0241 memory: 25127 loss_text: 0.0502 loss_kernel: 0.0317 loss: 0.0819 2022/08/26 01:14:25 - mmengine - INFO - Epoch(train) [74][45/63] lr: 1.0000e-04 eta: 20:04:03 time: 0.8601 data_time: 0.0334 memory: 25127 loss_text: 0.0563 loss_kernel: 0.0336 loss: 0.0899 2022/08/26 01:14:29 - mmengine - INFO - Epoch(train) [74][50/63] lr: 1.0000e-04 eta: 20:02:07 time: 0.8669 data_time: 0.0245 memory: 25127 loss_text: 0.0615 loss_kernel: 0.0347 loss: 0.0962 2022/08/26 01:14:34 - mmengine - INFO - Epoch(train) [74][55/63] lr: 1.0000e-04 eta: 20:02:07 time: 0.8682 data_time: 0.0224 memory: 25127 loss_text: 0.0636 loss_kernel: 0.0349 loss: 0.0985 2022/08/26 01:14:38 - mmengine - INFO - Epoch(train) [74][60/63] lr: 1.0000e-04 eta: 20:00:11 time: 0.8428 data_time: 0.0270 memory: 25127 loss_text: 0.0593 loss_kernel: 0.0343 loss: 0.0936 2022/08/26 01:14:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:16:10 - mmengine - INFO - Epoch(train) [75][5/63] lr: 1.0000e-04 eta: 20:00:11 time: 9.3909 data_time: 8.5798 memory: 25127 loss_text: 0.0588 loss_kernel: 0.0333 loss: 0.0921 2022/08/26 01:16:15 - mmengine - INFO - Epoch(train) [75][10/63] lr: 1.0000e-04 eta: 20:07:29 time: 9.4081 data_time: 8.5975 memory: 25127 loss_text: 0.0534 loss_kernel: 0.0302 loss: 0.0836 2022/08/26 01:16:19 - mmengine - INFO - Epoch(train) [75][15/63] lr: 1.0000e-04 eta: 20:07:29 time: 0.8823 data_time: 0.0382 memory: 25127 loss_text: 0.0516 loss_kernel: 0.0303 loss: 0.0819 2022/08/26 01:16:23 - mmengine - INFO - Epoch(train) [75][20/63] lr: 1.0000e-04 eta: 20:05:35 time: 0.8785 data_time: 0.0328 memory: 25127 loss_text: 0.0561 loss_kernel: 0.0305 loss: 0.0866 2022/08/26 01:16:28 - mmengine - INFO - Epoch(train) [75][25/63] lr: 1.0000e-04 eta: 20:05:35 time: 0.8582 data_time: 0.0423 memory: 25127 loss_text: 0.0583 loss_kernel: 0.0309 loss: 0.0892 2022/08/26 01:16:32 - mmengine - INFO - Epoch(train) [75][30/63] lr: 1.0000e-04 eta: 20:03:39 time: 0.8514 data_time: 0.0334 memory: 25127 loss_text: 0.0595 loss_kernel: 0.0338 loss: 0.0933 2022/08/26 01:16:36 - mmengine - INFO - Epoch(train) [75][35/63] lr: 1.0000e-04 eta: 20:03:39 time: 0.8477 data_time: 0.0283 memory: 25127 loss_text: 0.0550 loss_kernel: 0.0330 loss: 0.0880 2022/08/26 01:16:40 - mmengine - INFO - Epoch(train) [75][40/63] lr: 1.0000e-04 eta: 20:01:44 time: 0.8635 data_time: 0.0297 memory: 25127 loss_text: 0.0524 loss_kernel: 0.0323 loss: 0.0846 2022/08/26 01:16:45 - mmengine - INFO - Epoch(train) [75][45/63] lr: 1.0000e-04 eta: 20:01:44 time: 0.8586 data_time: 0.0340 memory: 25127 loss_text: 0.0575 loss_kernel: 0.0346 loss: 0.0921 2022/08/26 01:16:49 - mmengine - INFO - Epoch(train) [75][50/63] lr: 1.0000e-04 eta: 19:59:50 time: 0.8583 data_time: 0.0353 memory: 25127 loss_text: 0.0593 loss_kernel: 0.0338 loss: 0.0932 2022/08/26 01:16:53 - mmengine - INFO - Epoch(train) [75][55/63] lr: 1.0000e-04 eta: 19:59:50 time: 0.8770 data_time: 0.0287 memory: 25127 loss_text: 0.0530 loss_kernel: 0.0323 loss: 0.0853 2022/08/26 01:16:58 - mmengine - INFO - Epoch(train) [75][60/63] lr: 1.0000e-04 eta: 19:57:56 time: 0.8520 data_time: 0.0254 memory: 25127 loss_text: 0.0512 loss_kernel: 0.0321 loss: 0.0832 2022/08/26 01:17:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:18:27 - mmengine - INFO - Epoch(train) [76][5/63] lr: 1.0000e-04 eta: 19:57:56 time: 9.0389 data_time: 8.2367 memory: 25127 loss_text: 0.0534 loss_kernel: 0.0324 loss: 0.0857 2022/08/26 01:18:31 - mmengine - INFO - Epoch(train) [76][10/63] lr: 1.0000e-04 eta: 20:04:45 time: 9.0994 data_time: 8.2595 memory: 25127 loss_text: 0.0550 loss_kernel: 0.0330 loss: 0.0881 2022/08/26 01:18:35 - mmengine - INFO - Epoch(train) [76][15/63] lr: 1.0000e-04 eta: 20:04:45 time: 0.8315 data_time: 0.0354 memory: 25127 loss_text: 0.0532 loss_kernel: 0.0313 loss: 0.0845 2022/08/26 01:18:40 - mmengine - INFO - Epoch(train) [76][20/63] lr: 1.0000e-04 eta: 20:02:53 time: 0.8917 data_time: 0.0632 memory: 25127 loss_text: 0.0509 loss_kernel: 0.0319 loss: 0.0828 2022/08/26 01:18:44 - mmengine - INFO - Epoch(train) [76][25/63] lr: 1.0000e-04 eta: 20:02:53 time: 0.8997 data_time: 0.0737 memory: 25127 loss_text: 0.0457 loss_kernel: 0.0308 loss: 0.0764 2022/08/26 01:18:48 - mmengine - INFO - Epoch(train) [76][30/63] lr: 1.0000e-04 eta: 20:00:56 time: 0.8116 data_time: 0.0270 memory: 25127 loss_text: 0.0442 loss_kernel: 0.0281 loss: 0.0723 2022/08/26 01:18:52 - mmengine - INFO - Epoch(train) [76][35/63] lr: 1.0000e-04 eta: 20:00:56 time: 0.8339 data_time: 0.0269 memory: 25127 loss_text: 0.0465 loss_kernel: 0.0285 loss: 0.0750 2022/08/26 01:18:57 - mmengine - INFO - Epoch(train) [76][40/63] lr: 1.0000e-04 eta: 19:59:07 time: 0.9212 data_time: 0.0282 memory: 25127 loss_text: 0.0463 loss_kernel: 0.0285 loss: 0.0748 2022/08/26 01:19:01 - mmengine - INFO - Epoch(train) [76][45/63] lr: 1.0000e-04 eta: 19:59:07 time: 0.8909 data_time: 0.0266 memory: 25127 loss_text: 0.0466 loss_kernel: 0.0278 loss: 0.0744 2022/08/26 01:19:05 - mmengine - INFO - Epoch(train) [76][50/63] lr: 1.0000e-04 eta: 19:57:11 time: 0.8133 data_time: 0.0302 memory: 25127 loss_text: 0.0452 loss_kernel: 0.0279 loss: 0.0731 2022/08/26 01:19:09 - mmengine - INFO - Epoch(train) [76][55/63] lr: 1.0000e-04 eta: 19:57:11 time: 0.8198 data_time: 0.0253 memory: 25127 loss_text: 0.0420 loss_kernel: 0.0273 loss: 0.0693 2022/08/26 01:19:14 - mmengine - INFO - Epoch(train) [76][60/63] lr: 1.0000e-04 eta: 19:55:16 time: 0.8300 data_time: 0.0202 memory: 25127 loss_text: 0.0473 loss_kernel: 0.0284 loss: 0.0757 2022/08/26 01:19:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:20:47 - mmengine - INFO - Epoch(train) [77][5/63] lr: 1.0000e-04 eta: 19:55:16 time: 9.4545 data_time: 8.5476 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0268 loss: 0.0693 2022/08/26 01:20:51 - mmengine - INFO - Epoch(train) [77][10/63] lr: 1.0000e-04 eta: 20:02:20 time: 9.3936 data_time: 8.5681 memory: 25127 loss_text: 0.0453 loss_kernel: 0.0286 loss: 0.0739 2022/08/26 01:20:55 - mmengine - INFO - Epoch(train) [77][15/63] lr: 1.0000e-04 eta: 20:02:20 time: 0.8689 data_time: 0.0332 memory: 25127 loss_text: 0.0419 loss_kernel: 0.0263 loss: 0.0682 2022/08/26 01:20:59 - mmengine - INFO - Epoch(train) [77][20/63] lr: 1.0000e-04 eta: 20:00:26 time: 0.8424 data_time: 0.0178 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0243 loss: 0.0623 2022/08/26 01:21:04 - mmengine - INFO - Epoch(train) [77][25/63] lr: 1.0000e-04 eta: 20:00:26 time: 0.8604 data_time: 0.0384 memory: 25127 loss_text: 0.0416 loss_kernel: 0.0269 loss: 0.0686 2022/08/26 01:21:08 - mmengine - INFO - Epoch(train) [77][30/63] lr: 1.0000e-04 eta: 19:58:35 time: 0.8802 data_time: 0.0329 memory: 25127 loss_text: 0.0429 loss_kernel: 0.0277 loss: 0.0706 2022/08/26 01:21:12 - mmengine - INFO - Epoch(train) [77][35/63] lr: 1.0000e-04 eta: 19:58:35 time: 0.8645 data_time: 0.0227 memory: 25127 loss_text: 0.0505 loss_kernel: 0.0310 loss: 0.0815 2022/08/26 01:21:17 - mmengine - INFO - Epoch(train) [77][40/63] lr: 1.0000e-04 eta: 19:56:44 time: 0.8711 data_time: 0.0293 memory: 25127 loss_text: 0.0547 loss_kernel: 0.0330 loss: 0.0877 2022/08/26 01:21:21 - mmengine - INFO - Epoch(train) [77][45/63] lr: 1.0000e-04 eta: 19:56:44 time: 0.8623 data_time: 0.0290 memory: 25127 loss_text: 0.0475 loss_kernel: 0.0289 loss: 0.0765 2022/08/26 01:21:25 - mmengine - INFO - Epoch(train) [77][50/63] lr: 1.0000e-04 eta: 19:54:52 time: 0.8525 data_time: 0.0345 memory: 25127 loss_text: 0.0471 loss_kernel: 0.0285 loss: 0.0756 2022/08/26 01:21:30 - mmengine - INFO - Epoch(train) [77][55/63] lr: 1.0000e-04 eta: 19:54:52 time: 0.8928 data_time: 0.0313 memory: 25127 loss_text: 0.0454 loss_kernel: 0.0286 loss: 0.0739 2022/08/26 01:21:34 - mmengine - INFO - Epoch(train) [77][60/63] lr: 1.0000e-04 eta: 19:53:03 time: 0.8903 data_time: 0.0204 memory: 25127 loss_text: 0.0448 loss_kernel: 0.0276 loss: 0.0724 2022/08/26 01:21:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:23:05 - mmengine - INFO - Epoch(train) [78][5/63] lr: 1.0000e-04 eta: 19:53:03 time: 9.1809 data_time: 8.3550 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0240 loss: 0.0615 2022/08/26 01:23:09 - mmengine - INFO - Epoch(train) [78][10/63] lr: 1.0000e-04 eta: 19:59:48 time: 9.2257 data_time: 8.3806 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0264 loss: 0.0660 2022/08/26 01:23:13 - mmengine - INFO - Epoch(train) [78][15/63] lr: 1.0000e-04 eta: 19:59:48 time: 0.8848 data_time: 0.0444 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0270 loss: 0.0667 2022/08/26 01:23:18 - mmengine - INFO - Epoch(train) [78][20/63] lr: 1.0000e-04 eta: 19:57:57 time: 0.8626 data_time: 0.0220 memory: 25127 loss_text: 0.0442 loss_kernel: 0.0284 loss: 0.0726 2022/08/26 01:23:22 - mmengine - INFO - Epoch(train) [78][25/63] lr: 1.0000e-04 eta: 19:57:57 time: 0.8748 data_time: 0.0395 memory: 25127 loss_text: 0.0475 loss_kernel: 0.0297 loss: 0.0772 2022/08/26 01:23:27 - mmengine - INFO - Epoch(train) [78][30/63] lr: 1.0000e-04 eta: 19:56:08 time: 0.8888 data_time: 0.0338 memory: 25127 loss_text: 0.0488 loss_kernel: 0.0300 loss: 0.0788 2022/08/26 01:23:31 - mmengine - INFO - Epoch(train) [78][35/63] lr: 1.0000e-04 eta: 19:56:08 time: 0.8779 data_time: 0.0228 memory: 25127 loss_text: 0.0475 loss_kernel: 0.0285 loss: 0.0760 2022/08/26 01:23:35 - mmengine - INFO - Epoch(train) [78][40/63] lr: 1.0000e-04 eta: 19:54:18 time: 0.8681 data_time: 0.0283 memory: 25127 loss_text: 0.0421 loss_kernel: 0.0260 loss: 0.0681 2022/08/26 01:23:40 - mmengine - INFO - Epoch(train) [78][45/63] lr: 1.0000e-04 eta: 19:54:18 time: 0.8676 data_time: 0.0282 memory: 25127 loss_text: 0.0458 loss_kernel: 0.0279 loss: 0.0737 2022/08/26 01:23:44 - mmengine - INFO - Epoch(train) [78][50/63] lr: 1.0000e-04 eta: 19:52:27 time: 0.8583 data_time: 0.0295 memory: 25127 loss_text: 0.0462 loss_kernel: 0.0279 loss: 0.0740 2022/08/26 01:23:48 - mmengine - INFO - Epoch(train) [78][55/63] lr: 1.0000e-04 eta: 19:52:27 time: 0.8680 data_time: 0.0350 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0261 loss: 0.0675 2022/08/26 01:23:52 - mmengine - INFO - Epoch(train) [78][60/63] lr: 1.0000e-04 eta: 19:50:37 time: 0.8534 data_time: 0.0259 memory: 25127 loss_text: 0.0417 loss_kernel: 0.0272 loss: 0.0688 2022/08/26 01:23:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:25:26 - mmengine - INFO - Epoch(train) [79][5/63] lr: 1.0000e-04 eta: 19:50:37 time: 9.4505 data_time: 8.6551 memory: 25127 loss_text: 0.0439 loss_kernel: 0.0298 loss: 0.0736 2022/08/26 01:25:30 - mmengine - INFO - Epoch(train) [79][10/63] lr: 1.0000e-04 eta: 19:57:34 time: 9.4951 data_time: 8.6796 memory: 25127 loss_text: 0.0420 loss_kernel: 0.0270 loss: 0.0690 2022/08/26 01:25:34 - mmengine - INFO - Epoch(train) [79][15/63] lr: 1.0000e-04 eta: 19:57:34 time: 0.8486 data_time: 0.0478 memory: 25127 loss_text: 0.0402 loss_kernel: 0.0261 loss: 0.0663 2022/08/26 01:25:39 - mmengine - INFO - Epoch(train) [79][20/63] lr: 1.0000e-04 eta: 19:55:45 time: 0.8667 data_time: 0.0230 memory: 25127 loss_text: 0.0479 loss_kernel: 0.0308 loss: 0.0787 2022/08/26 01:25:43 - mmengine - INFO - Epoch(train) [79][25/63] lr: 1.0000e-04 eta: 19:55:45 time: 0.8674 data_time: 0.0283 memory: 25127 loss_text: 0.0518 loss_kernel: 0.0317 loss: 0.0835 2022/08/26 01:25:47 - mmengine - INFO - Epoch(train) [79][30/63] lr: 1.0000e-04 eta: 19:53:52 time: 0.8229 data_time: 0.0300 memory: 25127 loss_text: 0.0449 loss_kernel: 0.0284 loss: 0.0733 2022/08/26 01:25:51 - mmengine - INFO - Epoch(train) [79][35/63] lr: 1.0000e-04 eta: 19:53:52 time: 0.8338 data_time: 0.0265 memory: 25127 loss_text: 0.0482 loss_kernel: 0.0298 loss: 0.0779 2022/08/26 01:25:55 - mmengine - INFO - Epoch(train) [79][40/63] lr: 1.0000e-04 eta: 19:52:02 time: 0.8453 data_time: 0.0387 memory: 25127 loss_text: 0.0485 loss_kernel: 0.0287 loss: 0.0772 2022/08/26 01:26:01 - mmengine - INFO - Epoch(train) [79][45/63] lr: 1.0000e-04 eta: 19:52:02 time: 1.0079 data_time: 0.0713 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0259 loss: 0.0681 2022/08/26 01:26:05 - mmengine - INFO - Epoch(train) [79][50/63] lr: 1.0000e-04 eta: 19:50:24 time: 1.0180 data_time: 0.0640 memory: 25127 loss_text: 0.0448 loss_kernel: 0.0275 loss: 0.0723 2022/08/26 01:26:10 - mmengine - INFO - Epoch(train) [79][55/63] lr: 1.0000e-04 eta: 19:50:24 time: 0.8592 data_time: 0.0297 memory: 25127 loss_text: 0.0471 loss_kernel: 0.0279 loss: 0.0750 2022/08/26 01:26:14 - mmengine - INFO - Epoch(train) [79][60/63] lr: 1.0000e-04 eta: 19:48:35 time: 0.8624 data_time: 0.0233 memory: 25127 loss_text: 0.0519 loss_kernel: 0.0311 loss: 0.0830 2022/08/26 01:26:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:27:43 - mmengine - INFO - Epoch(train) [80][5/63] lr: 1.0000e-04 eta: 19:48:35 time: 9.0580 data_time: 8.2545 memory: 25127 loss_text: 0.0631 loss_kernel: 0.0361 loss: 0.0992 2022/08/26 01:27:47 - mmengine - INFO - Epoch(train) [80][10/63] lr: 1.0000e-04 eta: 19:54:59 time: 9.0930 data_time: 8.2549 memory: 25127 loss_text: 0.0710 loss_kernel: 0.0377 loss: 0.1087 2022/08/26 01:27:52 - mmengine - INFO - Epoch(train) [80][15/63] lr: 1.0000e-04 eta: 19:54:59 time: 0.8734 data_time: 0.0242 memory: 25127 loss_text: 0.0764 loss_kernel: 0.0380 loss: 0.1144 2022/08/26 01:27:56 - mmengine - INFO - Epoch(train) [80][20/63] lr: 1.0000e-04 eta: 19:53:12 time: 0.8756 data_time: 0.0269 memory: 25127 loss_text: 0.0617 loss_kernel: 0.0345 loss: 0.0962 2022/08/26 01:27:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:28:00 - mmengine - INFO - Epoch(train) [80][25/63] lr: 1.0000e-04 eta: 19:53:12 time: 0.8396 data_time: 0.0265 memory: 25127 loss_text: 0.0539 loss_kernel: 0.0311 loss: 0.0849 2022/08/26 01:28:05 - mmengine - INFO - Epoch(train) [80][30/63] lr: 1.0000e-04 eta: 19:51:23 time: 0.8529 data_time: 0.0257 memory: 25127 loss_text: 0.0617 loss_kernel: 0.0324 loss: 0.0942 2022/08/26 01:28:09 - mmengine - INFO - Epoch(train) [80][35/63] lr: 1.0000e-04 eta: 19:51:23 time: 0.8686 data_time: 0.0219 memory: 25127 loss_text: 0.0666 loss_kernel: 0.0348 loss: 0.1015 2022/08/26 01:28:13 - mmengine - INFO - Epoch(train) [80][40/63] lr: 1.0000e-04 eta: 19:49:35 time: 0.8654 data_time: 0.0255 memory: 25127 loss_text: 0.0596 loss_kernel: 0.0347 loss: 0.0943 2022/08/26 01:28:18 - mmengine - INFO - Epoch(train) [80][45/63] lr: 1.0000e-04 eta: 19:49:35 time: 0.8748 data_time: 0.0459 memory: 25127 loss_text: 0.0546 loss_kernel: 0.0339 loss: 0.0885 2022/08/26 01:28:22 - mmengine - INFO - Epoch(train) [80][50/63] lr: 1.0000e-04 eta: 19:47:48 time: 0.8709 data_time: 0.0365 memory: 25127 loss_text: 0.0528 loss_kernel: 0.0306 loss: 0.0833 2022/08/26 01:28:26 - mmengine - INFO - Epoch(train) [80][55/63] lr: 1.0000e-04 eta: 19:47:48 time: 0.8466 data_time: 0.0236 memory: 25127 loss_text: 0.0579 loss_kernel: 0.0334 loss: 0.0913 2022/08/26 01:28:30 - mmengine - INFO - Epoch(train) [80][60/63] lr: 1.0000e-04 eta: 19:45:58 time: 0.8188 data_time: 0.0250 memory: 25127 loss_text: 0.0605 loss_kernel: 0.0360 loss: 0.0965 2022/08/26 01:28:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:28:32 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/26 01:29:01 - mmengine - INFO - Epoch(val) [80][5/500] eta: 19:45:58 time: 2.4327 data_time: 2.3638 memory: 25127 2022/08/26 01:29:02 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:19:53 time: 2.4357 data_time: 2.3574 memory: 2076 2022/08/26 01:29:02 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:19:53 time: 0.0634 data_time: 0.0031 memory: 2001 2022/08/26 01:29:02 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:00:22 time: 0.0469 data_time: 0.0017 memory: 1700 2022/08/26 01:29:03 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:00:22 time: 0.0413 data_time: 0.0018 memory: 1700 2022/08/26 01:29:03 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:00:18 time: 0.0396 data_time: 0.0019 memory: 1700 2022/08/26 01:29:03 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:00:18 time: 0.0438 data_time: 0.0019 memory: 1700 2022/08/26 01:29:03 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:00:20 time: 0.0445 data_time: 0.0018 memory: 1737 2022/08/26 01:29:03 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:00:20 time: 0.0404 data_time: 0.0018 memory: 2076 2022/08/26 01:29:04 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:18 time: 0.0406 data_time: 0.0018 memory: 1813 2022/08/26 01:29:04 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:18 time: 0.0413 data_time: 0.0018 memory: 1775 2022/08/26 01:29:04 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:00:21 time: 0.0481 data_time: 0.0044 memory: 1700 2022/08/26 01:29:04 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:00:21 time: 0.0544 data_time: 0.0044 memory: 1813 2022/08/26 01:29:05 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:00:20 time: 0.0477 data_time: 0.0020 memory: 2076 2022/08/26 01:29:05 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:00:20 time: 0.0439 data_time: 0.0019 memory: 1813 2022/08/26 01:29:05 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:00:17 time: 0.0415 data_time: 0.0017 memory: 1700 2022/08/26 01:29:05 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:00:17 time: 0.0397 data_time: 0.0018 memory: 1700 2022/08/26 01:29:05 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:18 time: 0.0441 data_time: 0.0018 memory: 2076 2022/08/26 01:29:06 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:18 time: 0.0443 data_time: 0.0018 memory: 1737 2022/08/26 01:29:06 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:00:15 time: 0.0399 data_time: 0.0017 memory: 2076 2022/08/26 01:29:06 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:00:15 time: 0.0425 data_time: 0.0053 memory: 1700 2022/08/26 01:29:06 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:00:24 time: 0.0636 data_time: 0.0235 memory: 2076 2022/08/26 01:29:07 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:00:24 time: 0.0654 data_time: 0.0199 memory: 1700 2022/08/26 01:29:07 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:19 time: 0.0516 data_time: 0.0018 memory: 1700 2022/08/26 01:29:07 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:19 time: 0.0556 data_time: 0.0018 memory: 2076 2022/08/26 01:29:07 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:00:17 time: 0.0484 data_time: 0.0018 memory: 1700 2022/08/26 01:29:08 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:00:17 time: 0.0446 data_time: 0.0021 memory: 1850 2022/08/26 01:29:08 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:17 time: 0.0498 data_time: 0.0020 memory: 1700 2022/08/26 01:29:08 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:17 time: 0.0424 data_time: 0.0017 memory: 2039 2022/08/26 01:29:08 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:00:13 time: 0.0390 data_time: 0.0017 memory: 1700 2022/08/26 01:29:09 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:00:13 time: 0.0434 data_time: 0.0017 memory: 1963 2022/08/26 01:29:09 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:14 time: 0.0436 data_time: 0.0017 memory: 2076 2022/08/26 01:29:09 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:14 time: 0.0427 data_time: 0.0018 memory: 1775 2022/08/26 01:29:09 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:14 time: 0.0452 data_time: 0.0018 memory: 1963 2022/08/26 01:29:09 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:14 time: 0.0414 data_time: 0.0017 memory: 2076 2022/08/26 01:29:10 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:12 time: 0.0394 data_time: 0.0018 memory: 2076 2022/08/26 01:29:10 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:12 time: 0.0427 data_time: 0.0018 memory: 1700 2022/08/26 01:29:10 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:13 time: 0.0421 data_time: 0.0017 memory: 1813 2022/08/26 01:29:10 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:13 time: 0.0396 data_time: 0.0017 memory: 1775 2022/08/26 01:29:10 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:11 time: 0.0383 data_time: 0.0017 memory: 1775 2022/08/26 01:29:11 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:11 time: 0.0412 data_time: 0.0016 memory: 1700 2022/08/26 01:29:11 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:00:12 time: 0.0438 data_time: 0.0017 memory: 2076 2022/08/26 01:29:11 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:00:12 time: 0.0414 data_time: 0.0016 memory: 1700 2022/08/26 01:29:11 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:00:10 time: 0.0377 data_time: 0.0015 memory: 1850 2022/08/26 01:29:11 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:00:10 time: 0.0401 data_time: 0.0017 memory: 2076 2022/08/26 01:29:12 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:16 time: 0.0593 data_time: 0.0019 memory: 1700 2022/08/26 01:29:12 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:16 time: 0.0608 data_time: 0.0018 memory: 2076 2022/08/26 01:29:12 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:11 time: 0.0456 data_time: 0.0019 memory: 2076 2022/08/26 01:29:13 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:11 time: 0.0448 data_time: 0.0020 memory: 2076 2022/08/26 01:29:13 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:10 time: 0.0424 data_time: 0.0019 memory: 1700 2022/08/26 01:29:13 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:10 time: 0.0713 data_time: 0.0018 memory: 1737 2022/08/26 01:29:13 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:16 time: 0.0703 data_time: 0.0018 memory: 1700 2022/08/26 01:29:14 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:16 time: 0.0439 data_time: 0.0018 memory: 2001 2022/08/26 01:29:14 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:00:10 time: 0.0442 data_time: 0.0018 memory: 1926 2022/08/26 01:29:14 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:00:10 time: 0.0452 data_time: 0.0017 memory: 2076 2022/08/26 01:29:14 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:00:09 time: 0.0431 data_time: 0.0018 memory: 2001 2022/08/26 01:29:15 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:00:09 time: 0.0410 data_time: 0.0018 memory: 1700 2022/08/26 01:29:15 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:00:10 time: 0.0493 data_time: 0.0019 memory: 2076 2022/08/26 01:29:15 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:00:10 time: 0.0477 data_time: 0.0019 memory: 1813 2022/08/26 01:29:15 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:00:08 time: 0.0434 data_time: 0.0019 memory: 1737 2022/08/26 01:29:15 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:00:08 time: 0.0378 data_time: 0.0018 memory: 1700 2022/08/26 01:29:16 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:00:06 time: 0.0359 data_time: 0.0016 memory: 1775 2022/08/26 01:29:16 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:06 time: 0.0469 data_time: 0.0018 memory: 2001 2022/08/26 01:29:17 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:00:30 time: 0.1714 data_time: 0.0023 memory: 2001 2022/08/26 01:29:18 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:00:30 time: 0.1659 data_time: 0.0022 memory: 2076 2022/08/26 01:29:18 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:00:07 time: 0.0462 data_time: 0.0019 memory: 1737 2022/08/26 01:29:18 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:00:07 time: 0.0509 data_time: 0.0019 memory: 1926 2022/08/26 01:29:18 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:07 time: 0.0494 data_time: 0.0019 memory: 2039 2022/08/26 01:29:18 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:07 time: 0.0427 data_time: 0.0018 memory: 1926 2022/08/26 01:29:19 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:06 time: 0.0464 data_time: 0.0020 memory: 1700 2022/08/26 01:29:19 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:06 time: 0.0695 data_time: 0.0021 memory: 2039 2022/08/26 01:29:19 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:08 time: 0.0611 data_time: 0.0018 memory: 1737 2022/08/26 01:29:20 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:08 time: 0.0379 data_time: 0.0018 memory: 1588 2022/08/26 01:29:20 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:04 time: 0.0378 data_time: 0.0018 memory: 1813 2022/08/26 01:29:20 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:04 time: 0.0335 data_time: 0.0018 memory: 1700 2022/08/26 01:29:20 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:04 time: 0.0372 data_time: 0.0018 memory: 2039 2022/08/26 01:29:20 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:04 time: 0.0424 data_time: 0.0019 memory: 2039 2022/08/26 01:29:21 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:04 time: 0.0453 data_time: 0.0018 memory: 2076 2022/08/26 01:29:21 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:04 time: 0.0639 data_time: 0.0018 memory: 1700 2022/08/26 01:29:21 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:06 time: 0.0634 data_time: 0.0018 memory: 2039 2022/08/26 01:29:21 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:06 time: 0.0427 data_time: 0.0019 memory: 2039 2022/08/26 01:29:22 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:03 time: 0.0414 data_time: 0.0018 memory: 1813 2022/08/26 01:29:22 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:03 time: 0.0479 data_time: 0.0018 memory: 1700 2022/08/26 01:29:22 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:04 time: 0.0555 data_time: 0.0019 memory: 2001 2022/08/26 01:29:22 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:04 time: 0.0539 data_time: 0.0020 memory: 1700 2022/08/26 01:29:23 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:03 time: 0.0470 data_time: 0.0019 memory: 2076 2022/08/26 01:29:23 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:03 time: 0.0472 data_time: 0.0019 memory: 1700 2022/08/26 01:29:23 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:02 time: 0.0451 data_time: 0.0019 memory: 1850 2022/08/26 01:29:23 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:02 time: 0.0452 data_time: 0.0020 memory: 2001 2022/08/26 01:29:23 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:02 time: 0.0440 data_time: 0.0019 memory: 1700 2022/08/26 01:29:24 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:02 time: 0.0439 data_time: 0.0018 memory: 2076 2022/08/26 01:29:24 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:01 time: 0.0487 data_time: 0.0020 memory: 1775 2022/08/26 01:29:24 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:01 time: 0.0454 data_time: 0.0020 memory: 1963 2022/08/26 01:29:24 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:01 time: 0.0386 data_time: 0.0021 memory: 1775 2022/08/26 01:29:25 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:01 time: 0.0427 data_time: 0.0021 memory: 2076 2022/08/26 01:29:25 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:00 time: 0.0452 data_time: 0.0018 memory: 2039 2022/08/26 01:29:25 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:00 time: 0.0401 data_time: 0.0018 memory: 1700 2022/08/26 01:29:25 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:00 time: 0.0375 data_time: 0.0017 memory: 1963 2022/08/26 01:29:25 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:00 time: 0.0458 data_time: 0.0018 memory: 2076 2022/08/26 01:29:26 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.0459 data_time: 0.0018 memory: 1737 2022/08/26 01:29:26 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 01:29:26 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7665, precision: 0.4610, hmean: 0.5757 2022/08/26 01:29:26 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7665, precision: 0.4610, hmean: 0.5757 2022/08/26 01:29:26 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7665, precision: 0.4610, hmean: 0.5757 2022/08/26 01:29:26 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7665, precision: 0.5041, hmean: 0.6082 2022/08/26 01:29:26 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7659, precision: 0.5785, hmean: 0.6591 2022/08/26 01:29:26 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7610, precision: 0.6610, hmean: 0.7075 2022/08/26 01:29:26 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7197, precision: 0.7703, hmean: 0.7441 2022/08/26 01:29:26 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.7703 icdar/recall: 0.7197 icdar/hmean: 0.7441 2022/08/26 01:30:54 - mmengine - INFO - Epoch(train) [81][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 9.1769 data_time: 8.3793 memory: 25127 loss_text: 0.0463 loss_kernel: 0.0288 loss: 0.0751 2022/08/26 01:30:58 - mmengine - INFO - Epoch(train) [81][10/63] lr: 1.0000e-04 eta: 19:52:27 time: 9.2567 data_time: 8.4051 memory: 25127 loss_text: 0.0473 loss_kernel: 0.0294 loss: 0.0767 2022/08/26 01:31:03 - mmengine - INFO - Epoch(train) [81][15/63] lr: 1.0000e-04 eta: 19:52:27 time: 0.8740 data_time: 0.0389 memory: 25127 loss_text: 0.0560 loss_kernel: 0.0335 loss: 0.0894 2022/08/26 01:31:07 - mmengine - INFO - Epoch(train) [81][20/63] lr: 1.0000e-04 eta: 19:50:39 time: 0.8578 data_time: 0.0179 memory: 25127 loss_text: 0.0605 loss_kernel: 0.0351 loss: 0.0956 2022/08/26 01:31:12 - mmengine - INFO - Epoch(train) [81][25/63] lr: 1.0000e-04 eta: 19:50:39 time: 0.8947 data_time: 0.0562 memory: 25127 loss_text: 0.0501 loss_kernel: 0.0298 loss: 0.0799 2022/08/26 01:31:16 - mmengine - INFO - Epoch(train) [81][30/63] lr: 1.0000e-04 eta: 19:48:54 time: 0.8801 data_time: 0.0598 memory: 25127 loss_text: 0.0509 loss_kernel: 0.0304 loss: 0.0813 2022/08/26 01:31:21 - mmengine - INFO - Epoch(train) [81][35/63] lr: 1.0000e-04 eta: 19:48:54 time: 0.8973 data_time: 0.0835 memory: 25127 loss_text: 0.0500 loss_kernel: 0.0303 loss: 0.0803 2022/08/26 01:31:25 - mmengine - INFO - Epoch(train) [81][40/63] lr: 1.0000e-04 eta: 19:47:12 time: 0.9427 data_time: 0.1033 memory: 25127 loss_text: 0.0459 loss_kernel: 0.0276 loss: 0.0736 2022/08/26 01:31:30 - mmengine - INFO - Epoch(train) [81][45/63] lr: 1.0000e-04 eta: 19:47:12 time: 0.9002 data_time: 0.0547 memory: 25127 loss_text: 0.0540 loss_kernel: 0.0308 loss: 0.0848 2022/08/26 01:31:34 - mmengine - INFO - Epoch(train) [81][50/63] lr: 1.0000e-04 eta: 19:45:27 time: 0.8759 data_time: 0.0312 memory: 25127 loss_text: 0.0549 loss_kernel: 0.0315 loss: 0.0864 2022/08/26 01:31:38 - mmengine - INFO - Epoch(train) [81][55/63] lr: 1.0000e-04 eta: 19:45:27 time: 0.8420 data_time: 0.0242 memory: 25127 loss_text: 0.0470 loss_kernel: 0.0291 loss: 0.0761 2022/08/26 01:31:42 - mmengine - INFO - Epoch(train) [81][60/63] lr: 1.0000e-04 eta: 19:43:38 time: 0.8144 data_time: 0.0211 memory: 25127 loss_text: 0.0416 loss_kernel: 0.0274 loss: 0.0690 2022/08/26 01:31:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:33:14 - mmengine - INFO - Epoch(train) [82][5/63] lr: 1.0000e-04 eta: 19:43:38 time: 9.2874 data_time: 8.4855 memory: 25127 loss_text: 0.0405 loss_kernel: 0.0259 loss: 0.0664 2022/08/26 01:33:18 - mmengine - INFO - Epoch(train) [82][10/63] lr: 1.0000e-04 eta: 19:50:07 time: 9.3611 data_time: 8.5072 memory: 25127 loss_text: 0.0464 loss_kernel: 0.0293 loss: 0.0757 2022/08/26 01:33:22 - mmengine - INFO - Epoch(train) [82][15/63] lr: 1.0000e-04 eta: 19:50:07 time: 0.8794 data_time: 0.0336 memory: 25127 loss_text: 0.0478 loss_kernel: 0.0306 loss: 0.0784 2022/08/26 01:33:27 - mmengine - INFO - Epoch(train) [82][20/63] lr: 1.0000e-04 eta: 19:48:21 time: 0.8604 data_time: 0.0203 memory: 25127 loss_text: 0.0443 loss_kernel: 0.0291 loss: 0.0734 2022/08/26 01:33:31 - mmengine - INFO - Epoch(train) [82][25/63] lr: 1.0000e-04 eta: 19:48:21 time: 0.8529 data_time: 0.0422 memory: 25127 loss_text: 0.0440 loss_kernel: 0.0288 loss: 0.0728 2022/08/26 01:33:35 - mmengine - INFO - Epoch(train) [82][30/63] lr: 1.0000e-04 eta: 19:46:34 time: 0.8488 data_time: 0.0332 memory: 25127 loss_text: 0.0424 loss_kernel: 0.0269 loss: 0.0693 2022/08/26 01:33:40 - mmengine - INFO - Epoch(train) [82][35/63] lr: 1.0000e-04 eta: 19:46:34 time: 0.8708 data_time: 0.0265 memory: 25127 loss_text: 0.0442 loss_kernel: 0.0272 loss: 0.0715 2022/08/26 01:33:44 - mmengine - INFO - Epoch(train) [82][40/63] lr: 1.0000e-04 eta: 19:44:51 time: 0.8961 data_time: 0.0328 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0275 loss: 0.0702 2022/08/26 01:33:48 - mmengine - INFO - Epoch(train) [82][45/63] lr: 1.0000e-04 eta: 19:44:51 time: 0.8820 data_time: 0.0308 memory: 25127 loss_text: 0.0448 loss_kernel: 0.0284 loss: 0.0732 2022/08/26 01:33:53 - mmengine - INFO - Epoch(train) [82][50/63] lr: 1.0000e-04 eta: 19:43:06 time: 0.8588 data_time: 0.0355 memory: 25127 loss_text: 0.0485 loss_kernel: 0.0292 loss: 0.0777 2022/08/26 01:33:57 - mmengine - INFO - Epoch(train) [82][55/63] lr: 1.0000e-04 eta: 19:43:06 time: 0.8595 data_time: 0.0284 memory: 25127 loss_text: 0.0465 loss_kernel: 0.0281 loss: 0.0745 2022/08/26 01:34:01 - mmengine - INFO - Epoch(train) [82][60/63] lr: 1.0000e-04 eta: 19:41:21 time: 0.8617 data_time: 0.0223 memory: 25127 loss_text: 0.0487 loss_kernel: 0.0290 loss: 0.0777 2022/08/26 01:34:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:35:32 - mmengine - INFO - Epoch(train) [83][5/63] lr: 1.0000e-04 eta: 19:41:21 time: 9.2179 data_time: 8.4541 memory: 25127 loss_text: 0.0424 loss_kernel: 0.0259 loss: 0.0683 2022/08/26 01:35:36 - mmengine - INFO - Epoch(train) [83][10/63] lr: 1.0000e-04 eta: 19:47:40 time: 9.2742 data_time: 8.4757 memory: 25127 loss_text: 0.0477 loss_kernel: 0.0287 loss: 0.0764 2022/08/26 01:35:41 - mmengine - INFO - Epoch(train) [83][15/63] lr: 1.0000e-04 eta: 19:47:40 time: 0.8659 data_time: 0.0366 memory: 25127 loss_text: 0.0508 loss_kernel: 0.0316 loss: 0.0824 2022/08/26 01:35:45 - mmengine - INFO - Epoch(train) [83][20/63] lr: 1.0000e-04 eta: 19:45:54 time: 0.8544 data_time: 0.0226 memory: 25127 loss_text: 0.0497 loss_kernel: 0.0305 loss: 0.0802 2022/08/26 01:35:49 - mmengine - INFO - Epoch(train) [83][25/63] lr: 1.0000e-04 eta: 19:45:54 time: 0.8692 data_time: 0.0417 memory: 25127 loss_text: 0.0452 loss_kernel: 0.0268 loss: 0.0720 2022/08/26 01:35:54 - mmengine - INFO - Epoch(train) [83][30/63] lr: 1.0000e-04 eta: 19:44:10 time: 0.8764 data_time: 0.0395 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0255 loss: 0.0662 2022/08/26 01:35:59 - mmengine - INFO - Epoch(train) [83][35/63] lr: 1.0000e-04 eta: 19:44:10 time: 0.9424 data_time: 0.0328 memory: 25127 loss_text: 0.0409 loss_kernel: 0.0267 loss: 0.0676 2022/08/26 01:36:03 - mmengine - INFO - Epoch(train) [83][40/63] lr: 1.0000e-04 eta: 19:42:31 time: 0.9477 data_time: 0.0332 memory: 25127 loss_text: 0.0418 loss_kernel: 0.0267 loss: 0.0685 2022/08/26 01:36:07 - mmengine - INFO - Epoch(train) [83][45/63] lr: 1.0000e-04 eta: 19:42:31 time: 0.8713 data_time: 0.0328 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0260 loss: 0.0673 2022/08/26 01:36:12 - mmengine - INFO - Epoch(train) [83][50/63] lr: 1.0000e-04 eta: 19:40:49 time: 0.8839 data_time: 0.0398 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0264 loss: 0.0653 2022/08/26 01:36:16 - mmengine - INFO - Epoch(train) [83][55/63] lr: 1.0000e-04 eta: 19:40:49 time: 0.8479 data_time: 0.0306 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0264 loss: 0.0657 2022/08/26 01:36:20 - mmengine - INFO - Epoch(train) [83][60/63] lr: 1.0000e-04 eta: 19:39:04 time: 0.8432 data_time: 0.0188 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0276 loss: 0.0701 2022/08/26 01:36:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:37:51 - mmengine - INFO - Epoch(train) [84][5/63] lr: 1.0000e-04 eta: 19:39:04 time: 9.2143 data_time: 8.4169 memory: 25127 loss_text: 0.0433 loss_kernel: 0.0284 loss: 0.0717 2022/08/26 01:37:55 - mmengine - INFO - Epoch(train) [84][10/63] lr: 1.0000e-04 eta: 19:45:17 time: 9.2726 data_time: 8.4309 memory: 25127 loss_text: 0.0444 loss_kernel: 0.0274 loss: 0.0719 2022/08/26 01:38:00 - mmengine - INFO - Epoch(train) [84][15/63] lr: 1.0000e-04 eta: 19:45:17 time: 0.9025 data_time: 0.0348 memory: 25127 loss_text: 0.0434 loss_kernel: 0.0276 loss: 0.0710 2022/08/26 01:38:04 - mmengine - INFO - Epoch(train) [84][20/63] lr: 1.0000e-04 eta: 19:43:35 time: 0.8965 data_time: 0.0373 memory: 25127 loss_text: 0.0418 loss_kernel: 0.0277 loss: 0.0695 2022/08/26 01:38:09 - mmengine - INFO - Epoch(train) [84][25/63] lr: 1.0000e-04 eta: 19:43:35 time: 0.8601 data_time: 0.0385 memory: 25127 loss_text: 0.0403 loss_kernel: 0.0273 loss: 0.0677 2022/08/26 01:38:13 - mmengine - INFO - Epoch(train) [84][30/63] lr: 1.0000e-04 eta: 19:41:50 time: 0.8412 data_time: 0.0297 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0282 loss: 0.0728 2022/08/26 01:38:17 - mmengine - INFO - Epoch(train) [84][35/63] lr: 1.0000e-04 eta: 19:41:50 time: 0.8489 data_time: 0.0345 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0280 loss: 0.0726 2022/08/26 01:38:21 - mmengine - INFO - Epoch(train) [84][40/63] lr: 1.0000e-04 eta: 19:40:05 time: 0.8316 data_time: 0.0267 memory: 25127 loss_text: 0.0489 loss_kernel: 0.0303 loss: 0.0792 2022/08/26 01:38:25 - mmengine - INFO - Epoch(train) [84][45/63] lr: 1.0000e-04 eta: 19:40:05 time: 0.8302 data_time: 0.0250 memory: 25127 loss_text: 0.0480 loss_kernel: 0.0291 loss: 0.0771 2022/08/26 01:38:30 - mmengine - INFO - Epoch(train) [84][50/63] lr: 1.0000e-04 eta: 19:38:22 time: 0.8555 data_time: 0.0308 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0252 loss: 0.0645 2022/08/26 01:38:34 - mmengine - INFO - Epoch(train) [84][55/63] lr: 1.0000e-04 eta: 19:38:22 time: 0.8422 data_time: 0.0260 memory: 25127 loss_text: 0.0431 loss_kernel: 0.0276 loss: 0.0707 2022/08/26 01:38:38 - mmengine - INFO - Epoch(train) [84][60/63] lr: 1.0000e-04 eta: 19:36:40 time: 0.8719 data_time: 0.0324 memory: 25127 loss_text: 0.0558 loss_kernel: 0.0336 loss: 0.0893 2022/08/26 01:38:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:40:09 - mmengine - INFO - Epoch(train) [85][5/63] lr: 1.0000e-04 eta: 19:36:40 time: 9.3120 data_time: 8.4989 memory: 25127 loss_text: 0.0503 loss_kernel: 0.0306 loss: 0.0810 2022/08/26 01:40:14 - mmengine - INFO - Epoch(train) [85][10/63] lr: 1.0000e-04 eta: 19:42:51 time: 9.3289 data_time: 8.5130 memory: 25127 loss_text: 0.0436 loss_kernel: 0.0269 loss: 0.0705 2022/08/26 01:40:18 - mmengine - INFO - Epoch(train) [85][15/63] lr: 1.0000e-04 eta: 19:42:51 time: 0.8752 data_time: 0.0393 memory: 25127 loss_text: 0.0438 loss_kernel: 0.0269 loss: 0.0708 2022/08/26 01:40:22 - mmengine - INFO - Epoch(train) [85][20/63] lr: 1.0000e-04 eta: 19:41:09 time: 0.8657 data_time: 0.0215 memory: 25127 loss_text: 0.0476 loss_kernel: 0.0290 loss: 0.0767 2022/08/26 01:40:27 - mmengine - INFO - Epoch(train) [85][25/63] lr: 1.0000e-04 eta: 19:41:09 time: 0.8604 data_time: 0.0370 memory: 25127 loss_text: 0.0440 loss_kernel: 0.0272 loss: 0.0712 2022/08/26 01:40:31 - mmengine - INFO - Epoch(train) [85][30/63] lr: 1.0000e-04 eta: 19:39:28 time: 0.8892 data_time: 0.0365 memory: 25127 loss_text: 0.0457 loss_kernel: 0.0286 loss: 0.0743 2022/08/26 01:40:35 - mmengine - INFO - Epoch(train) [85][35/63] lr: 1.0000e-04 eta: 19:39:28 time: 0.8594 data_time: 0.0263 memory: 25127 loss_text: 0.0455 loss_kernel: 0.0286 loss: 0.0741 2022/08/26 01:40:40 - mmengine - INFO - Epoch(train) [85][40/63] lr: 1.0000e-04 eta: 19:37:44 time: 0.8392 data_time: 0.0284 memory: 25127 loss_text: 0.0385 loss_kernel: 0.0251 loss: 0.0636 2022/08/26 01:40:44 - mmengine - INFO - Epoch(train) [85][45/63] lr: 1.0000e-04 eta: 19:37:44 time: 0.8497 data_time: 0.0284 memory: 25127 loss_text: 0.0447 loss_kernel: 0.0273 loss: 0.0720 2022/08/26 01:40:48 - mmengine - INFO - Epoch(train) [85][50/63] lr: 1.0000e-04 eta: 19:36:02 time: 0.8533 data_time: 0.0339 memory: 25127 loss_text: 0.0468 loss_kernel: 0.0287 loss: 0.0756 2022/08/26 01:40:52 - mmengine - INFO - Epoch(train) [85][55/63] lr: 1.0000e-04 eta: 19:36:02 time: 0.8517 data_time: 0.0309 memory: 25127 loss_text: 0.0442 loss_kernel: 0.0283 loss: 0.0724 2022/08/26 01:40:57 - mmengine - INFO - Epoch(train) [85][60/63] lr: 1.0000e-04 eta: 19:34:21 time: 0.8635 data_time: 0.0210 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0283 loss: 0.0728 2022/08/26 01:40:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:42:28 - mmengine - INFO - Epoch(train) [86][5/63] lr: 1.0000e-04 eta: 19:34:21 time: 9.2937 data_time: 8.4900 memory: 25127 loss_text: 0.0401 loss_kernel: 0.0259 loss: 0.0659 2022/08/26 01:42:32 - mmengine - INFO - Epoch(train) [86][10/63] lr: 1.0000e-04 eta: 19:40:26 time: 9.3239 data_time: 8.5045 memory: 25127 loss_text: 0.0415 loss_kernel: 0.0264 loss: 0.0678 2022/08/26 01:42:36 - mmengine - INFO - Epoch(train) [86][15/63] lr: 1.0000e-04 eta: 19:40:26 time: 0.8335 data_time: 0.0275 memory: 25127 loss_text: 0.0539 loss_kernel: 0.0318 loss: 0.0857 2022/08/26 01:42:41 - mmengine - INFO - Epoch(train) [86][20/63] lr: 1.0000e-04 eta: 19:38:42 time: 0.8249 data_time: 0.0287 memory: 25127 loss_text: 0.0547 loss_kernel: 0.0315 loss: 0.0863 2022/08/26 01:42:45 - mmengine - INFO - Epoch(train) [86][25/63] lr: 1.0000e-04 eta: 19:38:42 time: 0.9025 data_time: 0.0514 memory: 25127 loss_text: 0.0492 loss_kernel: 0.0286 loss: 0.0778 2022/08/26 01:42:50 - mmengine - INFO - Epoch(train) [86][30/63] lr: 1.0000e-04 eta: 19:37:03 time: 0.9027 data_time: 0.0314 memory: 25127 loss_text: 0.0538 loss_kernel: 0.0301 loss: 0.0839 2022/08/26 01:42:54 - mmengine - INFO - Epoch(train) [86][35/63] lr: 1.0000e-04 eta: 19:37:03 time: 0.8469 data_time: 0.0190 memory: 25127 loss_text: 0.0476 loss_kernel: 0.0288 loss: 0.0764 2022/08/26 01:42:58 - mmengine - INFO - Epoch(train) [86][40/63] lr: 1.0000e-04 eta: 19:35:21 time: 0.8441 data_time: 0.0265 memory: 25127 loss_text: 0.0465 loss_kernel: 0.0282 loss: 0.0747 2022/08/26 01:43:03 - mmengine - INFO - Epoch(train) [86][45/63] lr: 1.0000e-04 eta: 19:35:21 time: 0.8661 data_time: 0.0246 memory: 25127 loss_text: 0.0479 loss_kernel: 0.0276 loss: 0.0756 2022/08/26 01:43:07 - mmengine - INFO - Epoch(train) [86][50/63] lr: 1.0000e-04 eta: 19:33:42 time: 0.8846 data_time: 0.0286 memory: 25127 loss_text: 0.0562 loss_kernel: 0.0315 loss: 0.0878 2022/08/26 01:43:11 - mmengine - INFO - Epoch(train) [86][55/63] lr: 1.0000e-04 eta: 19:33:42 time: 0.8634 data_time: 0.0269 memory: 25127 loss_text: 0.0631 loss_kernel: 0.0344 loss: 0.0975 2022/08/26 01:43:15 - mmengine - INFO - Epoch(train) [86][60/63] lr: 1.0000e-04 eta: 19:32:00 time: 0.8319 data_time: 0.0202 memory: 25127 loss_text: 0.0540 loss_kernel: 0.0301 loss: 0.0841 2022/08/26 01:43:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:44:47 - mmengine - INFO - Epoch(train) [87][5/63] lr: 1.0000e-04 eta: 19:32:00 time: 9.2861 data_time: 8.4838 memory: 25127 loss_text: 0.0602 loss_kernel: 0.0326 loss: 0.0928 2022/08/26 01:44:52 - mmengine - INFO - Epoch(train) [87][10/63] lr: 1.0000e-04 eta: 19:38:04 time: 9.3920 data_time: 8.5507 memory: 25127 loss_text: 0.0623 loss_kernel: 0.0333 loss: 0.0956 2022/08/26 01:44:56 - mmengine - INFO - Epoch(train) [87][15/63] lr: 1.0000e-04 eta: 19:38:04 time: 0.8863 data_time: 0.0770 memory: 25127 loss_text: 0.0613 loss_kernel: 0.0325 loss: 0.0938 2022/08/26 01:45:01 - mmengine - INFO - Epoch(train) [87][20/63] lr: 1.0000e-04 eta: 19:36:28 time: 0.9457 data_time: 0.0219 memory: 25127 loss_text: 0.0574 loss_kernel: 0.0309 loss: 0.0883 2022/08/26 01:45:05 - mmengine - INFO - Epoch(train) [87][25/63] lr: 1.0000e-04 eta: 19:36:28 time: 0.9771 data_time: 0.0559 memory: 25127 loss_text: 0.0551 loss_kernel: 0.0296 loss: 0.0846 2022/08/26 01:45:10 - mmengine - INFO - Epoch(train) [87][30/63] lr: 1.0000e-04 eta: 19:34:47 time: 0.8455 data_time: 0.0423 memory: 25127 loss_text: 0.0575 loss_kernel: 0.0306 loss: 0.0882 2022/08/26 01:45:14 - mmengine - INFO - Epoch(train) [87][35/63] lr: 1.0000e-04 eta: 19:34:47 time: 0.8292 data_time: 0.0164 memory: 25127 loss_text: 0.0582 loss_kernel: 0.0317 loss: 0.0899 2022/08/26 01:45:19 - mmengine - INFO - Epoch(train) [87][40/63] lr: 1.0000e-04 eta: 19:33:10 time: 0.8992 data_time: 0.0231 memory: 25127 loss_text: 0.0598 loss_kernel: 0.0330 loss: 0.0927 2022/08/26 01:45:23 - mmengine - INFO - Epoch(train) [87][45/63] lr: 1.0000e-04 eta: 19:33:10 time: 0.9065 data_time: 0.0254 memory: 25127 loss_text: 0.0612 loss_kernel: 0.0350 loss: 0.0962 2022/08/26 01:45:27 - mmengine - INFO - Epoch(train) [87][50/63] lr: 1.0000e-04 eta: 19:31:30 time: 0.8531 data_time: 0.0317 memory: 25127 loss_text: 0.0578 loss_kernel: 0.0336 loss: 0.0915 2022/08/26 01:45:32 - mmengine - INFO - Epoch(train) [87][55/63] lr: 1.0000e-04 eta: 19:31:30 time: 0.9015 data_time: 0.0279 memory: 25127 loss_text: 0.0509 loss_kernel: 0.0307 loss: 0.0816 2022/08/26 01:45:36 - mmengine - INFO - Epoch(train) [87][60/63] lr: 1.0000e-04 eta: 19:29:52 time: 0.8832 data_time: 0.0220 memory: 25127 loss_text: 0.0558 loss_kernel: 0.0329 loss: 0.0887 2022/08/26 01:45:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:47:06 - mmengine - INFO - Epoch(train) [88][5/63] lr: 1.0000e-04 eta: 19:29:52 time: 9.1421 data_time: 8.2951 memory: 25127 loss_text: 0.0497 loss_kernel: 0.0306 loss: 0.0803 2022/08/26 01:47:10 - mmengine - INFO - Epoch(train) [88][10/63] lr: 1.0000e-04 eta: 19:35:34 time: 9.1206 data_time: 8.2955 memory: 25127 loss_text: 0.0418 loss_kernel: 0.0263 loss: 0.0681 2022/08/26 01:47:14 - mmengine - INFO - Epoch(train) [88][15/63] lr: 1.0000e-04 eta: 19:35:34 time: 0.8606 data_time: 0.0304 memory: 25127 loss_text: 0.0464 loss_kernel: 0.0264 loss: 0.0729 2022/08/26 01:47:19 - mmengine - INFO - Epoch(train) [88][20/63] lr: 1.0000e-04 eta: 19:33:54 time: 0.8459 data_time: 0.0225 memory: 25127 loss_text: 0.0512 loss_kernel: 0.0287 loss: 0.0800 2022/08/26 01:47:23 - mmengine - INFO - Epoch(train) [88][25/63] lr: 1.0000e-04 eta: 19:33:54 time: 0.8362 data_time: 0.0273 memory: 25127 loss_text: 0.0504 loss_kernel: 0.0298 loss: 0.0802 2022/08/26 01:47:28 - mmengine - INFO - Epoch(train) [88][30/63] lr: 1.0000e-04 eta: 19:32:17 time: 0.9016 data_time: 0.0310 memory: 25127 loss_text: 0.0522 loss_kernel: 0.0302 loss: 0.0824 2022/08/26 01:47:32 - mmengine - INFO - Epoch(train) [88][35/63] lr: 1.0000e-04 eta: 19:32:17 time: 0.9232 data_time: 0.0365 memory: 25127 loss_text: 0.0487 loss_kernel: 0.0294 loss: 0.0781 2022/08/26 01:47:36 - mmengine - INFO - Epoch(train) [88][40/63] lr: 1.0000e-04 eta: 19:30:39 time: 0.8845 data_time: 0.0261 memory: 25127 loss_text: 0.0466 loss_kernel: 0.0293 loss: 0.0759 2022/08/26 01:47:41 - mmengine - INFO - Epoch(train) [88][45/63] lr: 1.0000e-04 eta: 19:30:39 time: 0.8607 data_time: 0.0222 memory: 25127 loss_text: 0.0474 loss_kernel: 0.0299 loss: 0.0773 2022/08/26 01:47:45 - mmengine - INFO - Epoch(train) [88][50/63] lr: 1.0000e-04 eta: 19:29:01 time: 0.8612 data_time: 0.0280 memory: 25127 loss_text: 0.0416 loss_kernel: 0.0277 loss: 0.0693 2022/08/26 01:47:49 - mmengine - INFO - Epoch(train) [88][55/63] lr: 1.0000e-04 eta: 19:29:01 time: 0.8846 data_time: 0.0263 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0268 loss: 0.0679 2022/08/26 01:47:54 - mmengine - INFO - Epoch(train) [88][60/63] lr: 1.0000e-04 eta: 19:27:23 time: 0.8658 data_time: 0.0235 memory: 25127 loss_text: 0.0492 loss_kernel: 0.0307 loss: 0.0799 2022/08/26 01:47:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:49:23 - mmengine - INFO - Epoch(train) [89][5/63] lr: 1.0000e-04 eta: 19:27:23 time: 9.1393 data_time: 8.3444 memory: 25127 loss_text: 0.0474 loss_kernel: 0.0291 loss: 0.0765 2022/08/26 01:49:28 - mmengine - INFO - Epoch(train) [89][10/63] lr: 1.0000e-04 eta: 19:33:05 time: 9.1927 data_time: 8.3650 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0261 loss: 0.0655 2022/08/26 01:49:32 - mmengine - INFO - Epoch(train) [89][15/63] lr: 1.0000e-04 eta: 19:33:05 time: 0.8913 data_time: 0.0309 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0260 loss: 0.0671 2022/08/26 01:49:37 - mmengine - INFO - Epoch(train) [89][20/63] lr: 1.0000e-04 eta: 19:31:29 time: 0.9073 data_time: 0.0312 memory: 25127 loss_text: 0.0390 loss_kernel: 0.0259 loss: 0.0649 2022/08/26 01:49:41 - mmengine - INFO - Epoch(train) [89][25/63] lr: 1.0000e-04 eta: 19:31:29 time: 0.8864 data_time: 0.0392 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0273 loss: 0.0700 2022/08/26 01:49:46 - mmengine - INFO - Epoch(train) [89][30/63] lr: 1.0000e-04 eta: 19:29:52 time: 0.8830 data_time: 0.0284 memory: 25127 loss_text: 0.0477 loss_kernel: 0.0284 loss: 0.0760 2022/08/26 01:49:50 - mmengine - INFO - Epoch(train) [89][35/63] lr: 1.0000e-04 eta: 19:29:52 time: 0.9063 data_time: 0.0374 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0278 loss: 0.0723 2022/08/26 01:49:55 - mmengine - INFO - Epoch(train) [89][40/63] lr: 1.0000e-04 eta: 19:28:16 time: 0.8908 data_time: 0.0321 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0278 loss: 0.0689 2022/08/26 01:49:59 - mmengine - INFO - Epoch(train) [89][45/63] lr: 1.0000e-04 eta: 19:28:16 time: 0.8766 data_time: 0.0249 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0264 loss: 0.0647 2022/08/26 01:50:03 - mmengine - INFO - Epoch(train) [89][50/63] lr: 1.0000e-04 eta: 19:26:39 time: 0.8760 data_time: 0.0331 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0264 loss: 0.0676 2022/08/26 01:50:08 - mmengine - INFO - Epoch(train) [89][55/63] lr: 1.0000e-04 eta: 19:26:39 time: 0.8864 data_time: 0.0284 memory: 25127 loss_text: 0.0468 loss_kernel: 0.0299 loss: 0.0767 2022/08/26 01:50:12 - mmengine - INFO - Epoch(train) [89][60/63] lr: 1.0000e-04 eta: 19:25:04 time: 0.8889 data_time: 0.0200 memory: 25127 loss_text: 0.0441 loss_kernel: 0.0291 loss: 0.0733 2022/08/26 01:50:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:51:40 - mmengine - INFO - Epoch(train) [90][5/63] lr: 1.0000e-04 eta: 19:25:04 time: 8.9190 data_time: 8.1119 memory: 25127 loss_text: 0.0507 loss_kernel: 0.0313 loss: 0.0820 2022/08/26 01:51:44 - mmengine - INFO - Epoch(train) [90][10/63] lr: 1.0000e-04 eta: 19:30:28 time: 8.9738 data_time: 8.1360 memory: 25127 loss_text: 0.0572 loss_kernel: 0.0333 loss: 0.0905 2022/08/26 01:51:49 - mmengine - INFO - Epoch(train) [90][15/63] lr: 1.0000e-04 eta: 19:30:28 time: 0.8767 data_time: 0.0346 memory: 25127 loss_text: 0.0595 loss_kernel: 0.0343 loss: 0.0937 2022/08/26 01:51:53 - mmengine - INFO - Epoch(train) [90][20/63] lr: 1.0000e-04 eta: 19:28:52 time: 0.8785 data_time: 0.0213 memory: 25127 loss_text: 0.0527 loss_kernel: 0.0316 loss: 0.0843 2022/08/26 01:51:57 - mmengine - INFO - Epoch(train) [90][25/63] lr: 1.0000e-04 eta: 19:28:52 time: 0.8477 data_time: 0.0372 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0271 loss: 0.0683 2022/08/26 01:52:02 - mmengine - INFO - Epoch(train) [90][30/63] lr: 1.0000e-04 eta: 19:27:15 time: 0.8570 data_time: 0.0337 memory: 25127 loss_text: 0.0433 loss_kernel: 0.0277 loss: 0.0710 2022/08/26 01:52:06 - mmengine - INFO - Epoch(train) [90][35/63] lr: 1.0000e-04 eta: 19:27:15 time: 0.8416 data_time: 0.0277 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0280 loss: 0.0726 2022/08/26 01:52:10 - mmengine - INFO - Epoch(train) [90][40/63] lr: 1.0000e-04 eta: 19:25:39 time: 0.8772 data_time: 0.0343 memory: 25127 loss_text: 0.0378 loss_kernel: 0.0250 loss: 0.0628 2022/08/26 01:52:15 - mmengine - INFO - Epoch(train) [90][45/63] lr: 1.0000e-04 eta: 19:25:39 time: 0.8898 data_time: 0.0329 memory: 25127 loss_text: 0.0372 loss_kernel: 0.0258 loss: 0.0630 2022/08/26 01:52:19 - mmengine - INFO - Epoch(train) [90][50/63] lr: 1.0000e-04 eta: 19:24:03 time: 0.8683 data_time: 0.0315 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0272 loss: 0.0660 2022/08/26 01:52:23 - mmengine - INFO - Epoch(train) [90][55/63] lr: 1.0000e-04 eta: 19:24:03 time: 0.8850 data_time: 0.0330 memory: 25127 loss_text: 0.0394 loss_kernel: 0.0264 loss: 0.0659 2022/08/26 01:52:28 - mmengine - INFO - Epoch(train) [90][60/63] lr: 1.0000e-04 eta: 19:22:26 time: 0.8457 data_time: 0.0239 memory: 25127 loss_text: 0.0431 loss_kernel: 0.0279 loss: 0.0710 2022/08/26 01:52:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:53:56 - mmengine - INFO - Epoch(train) [91][5/63] lr: 1.0000e-04 eta: 19:22:26 time: 9.0025 data_time: 8.2253 memory: 25127 loss_text: 0.0403 loss_kernel: 0.0257 loss: 0.0660 2022/08/26 01:54:00 - mmengine - INFO - Epoch(train) [91][10/63] lr: 1.0000e-04 eta: 19:27:49 time: 9.0459 data_time: 8.2412 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0249 loss: 0.0638 2022/08/26 01:54:05 - mmengine - INFO - Epoch(train) [91][15/63] lr: 1.0000e-04 eta: 19:27:49 time: 0.8824 data_time: 0.0393 memory: 25127 loss_text: 0.0416 loss_kernel: 0.0257 loss: 0.0673 2022/08/26 01:54:09 - mmengine - INFO - Epoch(train) [91][20/63] lr: 1.0000e-04 eta: 19:26:16 time: 0.9071 data_time: 0.0380 memory: 25127 loss_text: 0.0436 loss_kernel: 0.0269 loss: 0.0706 2022/08/26 01:54:14 - mmengine - INFO - Epoch(train) [91][25/63] lr: 1.0000e-04 eta: 19:26:16 time: 0.8561 data_time: 0.0291 memory: 25127 loss_text: 0.0476 loss_kernel: 0.0291 loss: 0.0766 2022/08/26 01:54:18 - mmengine - INFO - Epoch(train) [91][30/63] lr: 1.0000e-04 eta: 19:24:39 time: 0.8566 data_time: 0.0330 memory: 25127 loss_text: 0.0456 loss_kernel: 0.0300 loss: 0.0757 2022/08/26 01:54:22 - mmengine - INFO - Epoch(train) [91][35/63] lr: 1.0000e-04 eta: 19:24:39 time: 0.8690 data_time: 0.0370 memory: 25127 loss_text: 0.0444 loss_kernel: 0.0303 loss: 0.0747 2022/08/26 01:54:27 - mmengine - INFO - Epoch(train) [91][40/63] lr: 1.0000e-04 eta: 19:23:04 time: 0.8612 data_time: 0.0306 memory: 25127 loss_text: 0.0438 loss_kernel: 0.0284 loss: 0.0723 2022/08/26 01:54:31 - mmengine - INFO - Epoch(train) [91][45/63] lr: 1.0000e-04 eta: 19:23:04 time: 0.8972 data_time: 0.0521 memory: 25127 loss_text: 0.0404 loss_kernel: 0.0261 loss: 0.0666 2022/08/26 01:54:35 - mmengine - INFO - Epoch(train) [91][50/63] lr: 1.0000e-04 eta: 19:21:29 time: 0.8690 data_time: 0.0397 memory: 25127 loss_text: 0.0388 loss_kernel: 0.0249 loss: 0.0638 2022/08/26 01:54:40 - mmengine - INFO - Epoch(train) [91][55/63] lr: 1.0000e-04 eta: 19:21:29 time: 0.9078 data_time: 0.0310 memory: 25127 loss_text: 0.0534 loss_kernel: 0.0308 loss: 0.0841 2022/08/26 01:54:44 - mmengine - INFO - Epoch(train) [91][60/63] lr: 1.0000e-04 eta: 19:19:56 time: 0.9112 data_time: 0.0385 memory: 25127 loss_text: 0.0568 loss_kernel: 0.0312 loss: 0.0880 2022/08/26 01:54:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:56:14 - mmengine - INFO - Epoch(train) [92][5/63] lr: 1.0000e-04 eta: 19:19:56 time: 9.1130 data_time: 8.3533 memory: 25127 loss_text: 0.0461 loss_kernel: 0.0265 loss: 0.0726 2022/08/26 01:56:18 - mmengine - INFO - Epoch(train) [92][10/63] lr: 1.0000e-04 eta: 19:25:24 time: 9.1960 data_time: 8.3794 memory: 25127 loss_text: 0.0526 loss_kernel: 0.0293 loss: 0.0818 2022/08/26 01:56:23 - mmengine - INFO - Epoch(train) [92][15/63] lr: 1.0000e-04 eta: 19:25:24 time: 0.8730 data_time: 0.0405 memory: 25127 loss_text: 0.0547 loss_kernel: 0.0297 loss: 0.0844 2022/08/26 01:56:27 - mmengine - INFO - Epoch(train) [92][20/63] lr: 1.0000e-04 eta: 19:23:48 time: 0.8554 data_time: 0.0287 memory: 25127 loss_text: 0.0534 loss_kernel: 0.0297 loss: 0.0831 2022/08/26 01:56:31 - mmengine - INFO - Epoch(train) [92][25/63] lr: 1.0000e-04 eta: 19:23:48 time: 0.8529 data_time: 0.0415 memory: 25127 loss_text: 0.0618 loss_kernel: 0.0327 loss: 0.0945 2022/08/26 01:56:36 - mmengine - INFO - Epoch(train) [92][30/63] lr: 1.0000e-04 eta: 19:22:13 time: 0.8552 data_time: 0.0269 memory: 25127 loss_text: 0.0614 loss_kernel: 0.0329 loss: 0.0943 2022/08/26 01:56:40 - mmengine - INFO - Epoch(train) [92][35/63] lr: 1.0000e-04 eta: 19:22:13 time: 0.8549 data_time: 0.0249 memory: 25127 loss_text: 0.0603 loss_kernel: 0.0315 loss: 0.0918 2022/08/26 01:56:44 - mmengine - INFO - Epoch(train) [92][40/63] lr: 1.0000e-04 eta: 19:20:38 time: 0.8646 data_time: 0.0285 memory: 25127 loss_text: 0.0661 loss_kernel: 0.0340 loss: 0.1001 2022/08/26 01:56:48 - mmengine - INFO - Epoch(train) [92][45/63] lr: 1.0000e-04 eta: 19:20:38 time: 0.8655 data_time: 0.0249 memory: 25127 loss_text: 0.0700 loss_kernel: 0.0368 loss: 0.1068 2022/08/26 01:56:53 - mmengine - INFO - Epoch(train) [92][50/63] lr: 1.0000e-04 eta: 19:19:03 time: 0.8407 data_time: 0.0279 memory: 25127 loss_text: 0.0706 loss_kernel: 0.0364 loss: 0.1070 2022/08/26 01:56:57 - mmengine - INFO - Epoch(train) [92][55/63] lr: 1.0000e-04 eta: 19:19:03 time: 0.8350 data_time: 0.0266 memory: 25127 loss_text: 0.0613 loss_kernel: 0.0331 loss: 0.0944 2022/08/26 01:57:01 - mmengine - INFO - Epoch(train) [92][60/63] lr: 1.0000e-04 eta: 19:17:28 time: 0.8530 data_time: 0.0202 memory: 25127 loss_text: 0.0577 loss_kernel: 0.0321 loss: 0.0898 2022/08/26 01:57:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 01:58:31 - mmengine - INFO - Epoch(train) [93][5/63] lr: 1.0000e-04 eta: 19:17:28 time: 9.1205 data_time: 8.3131 memory: 25127 loss_text: 0.0499 loss_kernel: 0.0298 loss: 0.0797 2022/08/26 01:58:35 - mmengine - INFO - Epoch(train) [93][10/63] lr: 1.0000e-04 eta: 19:22:51 time: 9.1877 data_time: 8.3427 memory: 25127 loss_text: 0.0475 loss_kernel: 0.0292 loss: 0.0766 2022/08/26 01:58:41 - mmengine - INFO - Epoch(train) [93][15/63] lr: 1.0000e-04 eta: 19:22:51 time: 0.9925 data_time: 0.0412 memory: 25127 loss_text: 0.0495 loss_kernel: 0.0278 loss: 0.0773 2022/08/26 01:58:45 - mmengine - INFO - Epoch(train) [93][20/63] lr: 1.0000e-04 eta: 19:21:22 time: 0.9633 data_time: 0.0220 memory: 25127 loss_text: 0.0480 loss_kernel: 0.0284 loss: 0.0764 2022/08/26 01:58:49 - mmengine - INFO - Epoch(train) [93][25/63] lr: 1.0000e-04 eta: 19:21:22 time: 0.8673 data_time: 0.0382 memory: 25127 loss_text: 0.0493 loss_kernel: 0.0289 loss: 0.0782 2022/08/26 01:58:53 - mmengine - INFO - Epoch(train) [93][30/63] lr: 1.0000e-04 eta: 19:19:47 time: 0.8458 data_time: 0.0249 memory: 25127 loss_text: 0.0551 loss_kernel: 0.0308 loss: 0.0858 2022/08/26 01:58:58 - mmengine - INFO - Epoch(train) [93][35/63] lr: 1.0000e-04 eta: 19:19:47 time: 0.8571 data_time: 0.0218 memory: 25127 loss_text: 0.0523 loss_kernel: 0.0298 loss: 0.0821 2022/08/26 01:59:02 - mmengine - INFO - Epoch(train) [93][40/63] lr: 1.0000e-04 eta: 19:18:14 time: 0.8790 data_time: 0.0332 memory: 25127 loss_text: 0.0502 loss_kernel: 0.0300 loss: 0.0802 2022/08/26 01:59:07 - mmengine - INFO - Epoch(train) [93][45/63] lr: 1.0000e-04 eta: 19:18:14 time: 0.8892 data_time: 0.0346 memory: 25127 loss_text: 0.0501 loss_kernel: 0.0301 loss: 0.0802 2022/08/26 01:59:11 - mmengine - INFO - Epoch(train) [93][50/63] lr: 1.0000e-04 eta: 19:16:44 time: 0.9233 data_time: 0.0357 memory: 25127 loss_text: 0.0486 loss_kernel: 0.0274 loss: 0.0760 2022/08/26 01:59:16 - mmengine - INFO - Epoch(train) [93][55/63] lr: 1.0000e-04 eta: 19:16:44 time: 0.8961 data_time: 0.0285 memory: 25127 loss_text: 0.0486 loss_kernel: 0.0275 loss: 0.0760 2022/08/26 01:59:20 - mmengine - INFO - Epoch(train) [93][60/63] lr: 1.0000e-04 eta: 19:15:11 time: 0.8654 data_time: 0.0197 memory: 25127 loss_text: 0.0535 loss_kernel: 0.0311 loss: 0.0846 2022/08/26 01:59:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:00:53 - mmengine - INFO - Epoch(train) [94][5/63] lr: 1.0000e-04 eta: 19:15:11 time: 9.4076 data_time: 8.5966 memory: 25127 loss_text: 0.0517 loss_kernel: 0.0308 loss: 0.0824 2022/08/26 02:00:57 - mmengine - INFO - Epoch(train) [94][10/63] lr: 1.0000e-04 eta: 19:20:45 time: 9.4780 data_time: 8.6293 memory: 25127 loss_text: 0.0576 loss_kernel: 0.0320 loss: 0.0896 2022/08/26 02:01:02 - mmengine - INFO - Epoch(train) [94][15/63] lr: 1.0000e-04 eta: 19:20:45 time: 0.9272 data_time: 0.0431 memory: 25127 loss_text: 0.0541 loss_kernel: 0.0295 loss: 0.0836 2022/08/26 02:01:06 - mmengine - INFO - Epoch(train) [94][20/63] lr: 1.0000e-04 eta: 19:19:14 time: 0.9069 data_time: 0.0217 memory: 25127 loss_text: 0.0578 loss_kernel: 0.0334 loss: 0.0911 2022/08/26 02:01:10 - mmengine - INFO - Epoch(train) [94][25/63] lr: 1.0000e-04 eta: 19:19:14 time: 0.8623 data_time: 0.0344 memory: 25127 loss_text: 0.0593 loss_kernel: 0.0332 loss: 0.0925 2022/08/26 02:01:15 - mmengine - INFO - Epoch(train) [94][30/63] lr: 1.0000e-04 eta: 19:17:41 time: 0.8584 data_time: 0.0293 memory: 25127 loss_text: 0.0515 loss_kernel: 0.0285 loss: 0.0801 2022/08/26 02:01:19 - mmengine - INFO - Epoch(train) [94][35/63] lr: 1.0000e-04 eta: 19:17:41 time: 0.8603 data_time: 0.0340 memory: 25127 loss_text: 0.0498 loss_kernel: 0.0274 loss: 0.0772 2022/08/26 02:01:23 - mmengine - INFO - Epoch(train) [94][40/63] lr: 1.0000e-04 eta: 19:16:08 time: 0.8589 data_time: 0.0320 memory: 25127 loss_text: 0.0496 loss_kernel: 0.0290 loss: 0.0787 2022/08/26 02:01:28 - mmengine - INFO - Epoch(train) [94][45/63] lr: 1.0000e-04 eta: 19:16:08 time: 0.8457 data_time: 0.0301 memory: 25127 loss_text: 0.0460 loss_kernel: 0.0291 loss: 0.0751 2022/08/26 02:01:33 - mmengine - INFO - Epoch(train) [94][50/63] lr: 1.0000e-04 eta: 19:14:39 time: 0.9344 data_time: 0.0842 memory: 25127 loss_text: 0.0461 loss_kernel: 0.0286 loss: 0.0747 2022/08/26 02:01:37 - mmengine - INFO - Epoch(train) [94][55/63] lr: 1.0000e-04 eta: 19:14:39 time: 0.9195 data_time: 0.0724 memory: 25127 loss_text: 0.0500 loss_kernel: 0.0298 loss: 0.0798 2022/08/26 02:01:41 - mmengine - INFO - Epoch(train) [94][60/63] lr: 1.0000e-04 eta: 19:13:08 time: 0.8798 data_time: 0.0182 memory: 25127 loss_text: 0.0509 loss_kernel: 0.0307 loss: 0.0816 2022/08/26 02:01:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:03:12 - mmengine - INFO - Epoch(train) [95][5/63] lr: 1.0000e-04 eta: 19:13:08 time: 9.1484 data_time: 8.3532 memory: 25127 loss_text: 0.0502 loss_kernel: 0.0297 loss: 0.0799 2022/08/26 02:03:17 - mmengine - INFO - Epoch(train) [95][10/63] lr: 1.0000e-04 eta: 19:18:29 time: 9.3327 data_time: 8.3725 memory: 25127 loss_text: 0.0450 loss_kernel: 0.0293 loss: 0.0744 2022/08/26 02:03:28 - mmengine - INFO - Epoch(train) [95][15/63] lr: 1.0000e-04 eta: 19:18:29 time: 1.6341 data_time: 0.0399 memory: 25127 loss_text: 0.0400 loss_kernel: 0.0276 loss: 0.0676 2022/08/26 02:03:32 - mmengine - INFO - Epoch(train) [95][20/63] lr: 1.0000e-04 eta: 19:17:32 time: 1.5239 data_time: 0.0407 memory: 25127 loss_text: 0.0403 loss_kernel: 0.0269 loss: 0.0672 2022/08/26 02:03:37 - mmengine - INFO - Epoch(train) [95][25/63] lr: 1.0000e-04 eta: 19:17:32 time: 0.8726 data_time: 0.0422 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0301 loss: 0.0746 2022/08/26 02:03:41 - mmengine - INFO - Epoch(train) [95][30/63] lr: 1.0000e-04 eta: 19:16:01 time: 0.8703 data_time: 0.0216 memory: 25127 loss_text: 0.0437 loss_kernel: 0.0272 loss: 0.0709 2022/08/26 02:03:45 - mmengine - INFO - Epoch(train) [95][35/63] lr: 1.0000e-04 eta: 19:16:01 time: 0.8787 data_time: 0.0263 memory: 25127 loss_text: 0.0521 loss_kernel: 0.0302 loss: 0.0823 2022/08/26 02:03:50 - mmengine - INFO - Epoch(train) [95][40/63] lr: 1.0000e-04 eta: 19:14:31 time: 0.9057 data_time: 0.0288 memory: 25127 loss_text: 0.0541 loss_kernel: 0.0343 loss: 0.0885 2022/08/26 02:03:54 - mmengine - INFO - Epoch(train) [95][45/63] lr: 1.0000e-04 eta: 19:14:31 time: 0.8922 data_time: 0.0271 memory: 25127 loss_text: 0.0454 loss_kernel: 0.0298 loss: 0.0752 2022/08/26 02:03:59 - mmengine - INFO - Epoch(train) [95][50/63] lr: 1.0000e-04 eta: 19:12:59 time: 0.8571 data_time: 0.0414 memory: 25127 loss_text: 0.0471 loss_kernel: 0.0282 loss: 0.0753 2022/08/26 02:04:03 - mmengine - INFO - Epoch(train) [95][55/63] lr: 1.0000e-04 eta: 19:12:59 time: 0.8717 data_time: 0.0260 memory: 25127 loss_text: 0.0424 loss_kernel: 0.0263 loss: 0.0687 2022/08/26 02:04:07 - mmengine - INFO - Epoch(train) [95][60/63] lr: 1.0000e-04 eta: 19:11:28 time: 0.8728 data_time: 0.0166 memory: 25127 loss_text: 0.0442 loss_kernel: 0.0269 loss: 0.0711 2022/08/26 02:04:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:05:38 - mmengine - INFO - Epoch(train) [96][5/63] lr: 1.0000e-04 eta: 19:11:28 time: 9.2135 data_time: 8.3947 memory: 25127 loss_text: 0.0437 loss_kernel: 0.0285 loss: 0.0722 2022/08/26 02:05:42 - mmengine - INFO - Epoch(train) [96][10/63] lr: 1.0000e-04 eta: 19:16:40 time: 9.2373 data_time: 8.4240 memory: 25127 loss_text: 0.0460 loss_kernel: 0.0301 loss: 0.0761 2022/08/26 02:05:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:05:47 - mmengine - INFO - Epoch(train) [96][15/63] lr: 1.0000e-04 eta: 19:16:40 time: 0.9497 data_time: 0.0463 memory: 25127 loss_text: 0.0459 loss_kernel: 0.0287 loss: 0.0746 2022/08/26 02:05:52 - mmengine - INFO - Epoch(train) [96][20/63] lr: 1.0000e-04 eta: 19:15:13 time: 0.9580 data_time: 0.0408 memory: 25127 loss_text: 0.0437 loss_kernel: 0.0268 loss: 0.0705 2022/08/26 02:05:56 - mmengine - INFO - Epoch(train) [96][25/63] lr: 1.0000e-04 eta: 19:15:13 time: 0.8605 data_time: 0.0551 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0269 loss: 0.0715 2022/08/26 02:06:15 - mmengine - INFO - Epoch(train) [96][30/63] lr: 1.0000e-04 eta: 19:14:59 time: 2.3260 data_time: 0.0451 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0254 loss: 0.0664 2022/08/26 02:06:22 - mmengine - INFO - Epoch(train) [96][35/63] lr: 1.0000e-04 eta: 19:14:59 time: 2.6055 data_time: 0.1328 memory: 25127 loss_text: 0.0402 loss_kernel: 0.0256 loss: 0.0658 2022/08/26 02:06:26 - mmengine - INFO - Epoch(train) [96][40/63] lr: 1.0000e-04 eta: 19:13:42 time: 1.1215 data_time: 0.1156 memory: 25127 loss_text: 0.0423 loss_kernel: 0.0270 loss: 0.0693 2022/08/26 02:06:31 - mmengine - INFO - Epoch(train) [96][45/63] lr: 1.0000e-04 eta: 19:13:42 time: 0.9304 data_time: 0.0985 memory: 25127 loss_text: 0.0485 loss_kernel: 0.0282 loss: 0.0767 2022/08/26 02:06:35 - mmengine - INFO - Epoch(train) [96][50/63] lr: 1.0000e-04 eta: 19:12:14 time: 0.9256 data_time: 0.1052 memory: 25127 loss_text: 0.0468 loss_kernel: 0.0280 loss: 0.0748 2022/08/26 02:06:40 - mmengine - INFO - Epoch(train) [96][55/63] lr: 1.0000e-04 eta: 19:12:14 time: 0.8418 data_time: 0.0233 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0262 loss: 0.0659 2022/08/26 02:06:44 - mmengine - INFO - Epoch(train) [96][60/63] lr: 1.0000e-04 eta: 19:10:42 time: 0.8367 data_time: 0.0264 memory: 25127 loss_text: 0.0382 loss_kernel: 0.0258 loss: 0.0640 2022/08/26 02:06:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:08:15 - mmengine - INFO - Epoch(train) [97][5/63] lr: 1.0000e-04 eta: 19:10:42 time: 9.2441 data_time: 8.4431 memory: 25127 loss_text: 0.0429 loss_kernel: 0.0265 loss: 0.0694 2022/08/26 02:08:19 - mmengine - INFO - Epoch(train) [97][10/63] lr: 1.0000e-04 eta: 19:15:52 time: 9.2874 data_time: 8.4463 memory: 25127 loss_text: 0.0472 loss_kernel: 0.0280 loss: 0.0752 2022/08/26 02:08:23 - mmengine - INFO - Epoch(train) [97][15/63] lr: 1.0000e-04 eta: 19:15:52 time: 0.8524 data_time: 0.0304 memory: 25127 loss_text: 0.0473 loss_kernel: 0.0288 loss: 0.0761 2022/08/26 02:08:27 - mmengine - INFO - Epoch(train) [97][20/63] lr: 1.0000e-04 eta: 19:14:21 time: 0.8588 data_time: 0.0368 memory: 25127 loss_text: 0.0460 loss_kernel: 0.0286 loss: 0.0746 2022/08/26 02:08:32 - mmengine - INFO - Epoch(train) [97][25/63] lr: 1.0000e-04 eta: 19:14:21 time: 0.8833 data_time: 0.0419 memory: 25127 loss_text: 0.0421 loss_kernel: 0.0265 loss: 0.0686 2022/08/26 02:08:36 - mmengine - INFO - Epoch(train) [97][30/63] lr: 1.0000e-04 eta: 19:12:52 time: 0.9079 data_time: 0.0403 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0262 loss: 0.0676 2022/08/26 02:08:41 - mmengine - INFO - Epoch(train) [97][35/63] lr: 1.0000e-04 eta: 19:12:52 time: 0.8664 data_time: 0.0273 memory: 25127 loss_text: 0.0434 loss_kernel: 0.0273 loss: 0.0707 2022/08/26 02:08:45 - mmengine - INFO - Epoch(train) [97][40/63] lr: 1.0000e-04 eta: 19:11:21 time: 0.8467 data_time: 0.0313 memory: 25127 loss_text: 0.0491 loss_kernel: 0.0291 loss: 0.0782 2022/08/26 02:08:49 - mmengine - INFO - Epoch(train) [97][45/63] lr: 1.0000e-04 eta: 19:11:21 time: 0.8434 data_time: 0.0337 memory: 25127 loss_text: 0.0585 loss_kernel: 0.0314 loss: 0.0900 2022/08/26 02:08:54 - mmengine - INFO - Epoch(train) [97][50/63] lr: 1.0000e-04 eta: 19:09:52 time: 0.8758 data_time: 0.0274 memory: 25127 loss_text: 0.0533 loss_kernel: 0.0290 loss: 0.0822 2022/08/26 02:08:58 - mmengine - INFO - Epoch(train) [97][55/63] lr: 1.0000e-04 eta: 19:09:52 time: 0.8615 data_time: 0.0278 memory: 25127 loss_text: 0.0532 loss_kernel: 0.0307 loss: 0.0838 2022/08/26 02:09:02 - mmengine - INFO - Epoch(train) [97][60/63] lr: 1.0000e-04 eta: 19:08:21 time: 0.8439 data_time: 0.0271 memory: 25127 loss_text: 0.0530 loss_kernel: 0.0305 loss: 0.0835 2022/08/26 02:09:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:10:34 - mmengine - INFO - Epoch(train) [98][5/63] lr: 1.0000e-04 eta: 19:08:21 time: 9.3113 data_time: 8.5113 memory: 25127 loss_text: 0.0440 loss_kernel: 0.0270 loss: 0.0710 2022/08/26 02:10:38 - mmengine - INFO - Epoch(train) [98][10/63] lr: 1.0000e-04 eta: 19:13:32 time: 9.3857 data_time: 8.5409 memory: 25127 loss_text: 0.0487 loss_kernel: 0.0287 loss: 0.0774 2022/08/26 02:10:43 - mmengine - INFO - Epoch(train) [98][15/63] lr: 1.0000e-04 eta: 19:13:32 time: 0.9000 data_time: 0.0470 memory: 25127 loss_text: 0.0524 loss_kernel: 0.0321 loss: 0.0844 2022/08/26 02:10:47 - mmengine - INFO - Epoch(train) [98][20/63] lr: 1.0000e-04 eta: 19:12:02 time: 0.8652 data_time: 0.0237 memory: 25127 loss_text: 0.0469 loss_kernel: 0.0295 loss: 0.0764 2022/08/26 02:10:51 - mmengine - INFO - Epoch(train) [98][25/63] lr: 1.0000e-04 eta: 19:12:02 time: 0.8678 data_time: 0.0370 memory: 25127 loss_text: 0.0423 loss_kernel: 0.0270 loss: 0.0693 2022/08/26 02:10:56 - mmengine - INFO - Epoch(train) [98][30/63] lr: 1.0000e-04 eta: 19:10:33 time: 0.8860 data_time: 0.0408 memory: 25127 loss_text: 0.0440 loss_kernel: 0.0283 loss: 0.0723 2022/08/26 02:11:00 - mmengine - INFO - Epoch(train) [98][35/63] lr: 1.0000e-04 eta: 19:10:33 time: 0.8611 data_time: 0.0348 memory: 25127 loss_text: 0.0456 loss_kernel: 0.0291 loss: 0.0747 2022/08/26 02:11:04 - mmengine - INFO - Epoch(train) [98][40/63] lr: 1.0000e-04 eta: 19:09:03 time: 0.8494 data_time: 0.0282 memory: 25127 loss_text: 0.0487 loss_kernel: 0.0298 loss: 0.0785 2022/08/26 02:11:09 - mmengine - INFO - Epoch(train) [98][45/63] lr: 1.0000e-04 eta: 19:09:03 time: 0.8534 data_time: 0.0254 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0297 loss: 0.0742 2022/08/26 02:11:13 - mmengine - INFO - Epoch(train) [98][50/63] lr: 1.0000e-04 eta: 19:07:34 time: 0.8602 data_time: 0.0323 memory: 25127 loss_text: 0.0442 loss_kernel: 0.0290 loss: 0.0733 2022/08/26 02:11:17 - mmengine - INFO - Epoch(train) [98][55/63] lr: 1.0000e-04 eta: 19:07:34 time: 0.8701 data_time: 0.0312 memory: 25127 loss_text: 0.0532 loss_kernel: 0.0306 loss: 0.0838 2022/08/26 02:11:22 - mmengine - INFO - Epoch(train) [98][60/63] lr: 1.0000e-04 eta: 19:06:07 time: 0.9074 data_time: 0.0223 memory: 25127 loss_text: 0.0486 loss_kernel: 0.0295 loss: 0.0781 2022/08/26 02:11:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:12:52 - mmengine - INFO - Epoch(train) [99][5/63] lr: 1.0000e-04 eta: 19:06:07 time: 9.2135 data_time: 8.4108 memory: 25127 loss_text: 0.0552 loss_kernel: 0.0344 loss: 0.0895 2022/08/26 02:12:57 - mmengine - INFO - Epoch(train) [99][10/63] lr: 1.0000e-04 eta: 19:11:08 time: 9.2769 data_time: 8.4321 memory: 25127 loss_text: 0.0498 loss_kernel: 0.0313 loss: 0.0812 2022/08/26 02:13:01 - mmengine - INFO - Epoch(train) [99][15/63] lr: 1.0000e-04 eta: 19:11:08 time: 0.8846 data_time: 0.0389 memory: 25127 loss_text: 0.0448 loss_kernel: 0.0273 loss: 0.0721 2022/08/26 02:13:06 - mmengine - INFO - Epoch(train) [99][20/63] lr: 1.0000e-04 eta: 19:09:39 time: 0.8626 data_time: 0.0330 memory: 25127 loss_text: 0.0367 loss_kernel: 0.0249 loss: 0.0616 2022/08/26 02:13:10 - mmengine - INFO - Epoch(train) [99][25/63] lr: 1.0000e-04 eta: 19:09:39 time: 0.8432 data_time: 0.0303 memory: 25127 loss_text: 0.0428 loss_kernel: 0.0287 loss: 0.0715 2022/08/26 02:13:14 - mmengine - INFO - Epoch(train) [99][30/63] lr: 1.0000e-04 eta: 19:08:08 time: 0.8249 data_time: 0.0233 memory: 25127 loss_text: 0.0463 loss_kernel: 0.0312 loss: 0.0774 2022/08/26 02:13:18 - mmengine - INFO - Epoch(train) [99][35/63] lr: 1.0000e-04 eta: 19:08:08 time: 0.8621 data_time: 0.0335 memory: 25127 loss_text: 0.0438 loss_kernel: 0.0286 loss: 0.0723 2022/08/26 02:13:23 - mmengine - INFO - Epoch(train) [99][40/63] lr: 1.0000e-04 eta: 19:06:40 time: 0.8811 data_time: 0.0290 memory: 25127 loss_text: 0.0404 loss_kernel: 0.0255 loss: 0.0660 2022/08/26 02:13:27 - mmengine - INFO - Epoch(train) [99][45/63] lr: 1.0000e-04 eta: 19:06:40 time: 0.8466 data_time: 0.0246 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0268 loss: 0.0681 2022/08/26 02:13:31 - mmengine - INFO - Epoch(train) [99][50/63] lr: 1.0000e-04 eta: 19:05:10 time: 0.8249 data_time: 0.0227 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0286 loss: 0.0710 2022/08/26 02:13:35 - mmengine - INFO - Epoch(train) [99][55/63] lr: 1.0000e-04 eta: 19:05:10 time: 0.8339 data_time: 0.0236 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0260 loss: 0.0635 2022/08/26 02:13:40 - mmengine - INFO - Epoch(train) [99][60/63] lr: 1.0000e-04 eta: 19:03:42 time: 0.8767 data_time: 0.0287 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0286 loss: 0.0731 2022/08/26 02:13:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:15:11 - mmengine - INFO - Epoch(train) [100][5/63] lr: 1.0000e-04 eta: 19:03:42 time: 9.2776 data_time: 8.4765 memory: 25127 loss_text: 0.0406 loss_kernel: 0.0263 loss: 0.0669 2022/08/26 02:15:15 - mmengine - INFO - Epoch(train) [100][10/63] lr: 1.0000e-04 eta: 19:08:42 time: 9.3182 data_time: 8.4944 memory: 25127 loss_text: 0.0378 loss_kernel: 0.0246 loss: 0.0624 2022/08/26 02:15:19 - mmengine - INFO - Epoch(train) [100][15/63] lr: 1.0000e-04 eta: 19:08:42 time: 0.8487 data_time: 0.0317 memory: 25127 loss_text: 0.0400 loss_kernel: 0.0250 loss: 0.0649 2022/08/26 02:15:24 - mmengine - INFO - Epoch(train) [100][20/63] lr: 1.0000e-04 eta: 19:07:15 time: 0.9055 data_time: 0.0219 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0248 loss: 0.0641 2022/08/26 02:15:28 - mmengine - INFO - Epoch(train) [100][25/63] lr: 1.0000e-04 eta: 19:07:15 time: 0.9137 data_time: 0.0301 memory: 25127 loss_text: 0.0382 loss_kernel: 0.0253 loss: 0.0635 2022/08/26 02:15:33 - mmengine - INFO - Epoch(train) [100][30/63] lr: 1.0000e-04 eta: 19:05:47 time: 0.8608 data_time: 0.0310 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0251 loss: 0.0630 2022/08/26 02:15:37 - mmengine - INFO - Epoch(train) [100][35/63] lr: 1.0000e-04 eta: 19:05:47 time: 0.8714 data_time: 0.0396 memory: 25127 loss_text: 0.0368 loss_kernel: 0.0244 loss: 0.0612 2022/08/26 02:15:42 - mmengine - INFO - Epoch(train) [100][40/63] lr: 1.0000e-04 eta: 19:04:23 time: 0.9302 data_time: 0.0318 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0267 loss: 0.0678 2022/08/26 02:15:46 - mmengine - INFO - Epoch(train) [100][45/63] lr: 1.0000e-04 eta: 19:04:23 time: 0.9167 data_time: 0.0252 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0264 loss: 0.0676 2022/08/26 02:15:50 - mmengine - INFO - Epoch(train) [100][50/63] lr: 1.0000e-04 eta: 19:02:54 time: 0.8496 data_time: 0.0347 memory: 25127 loss_text: 0.0429 loss_kernel: 0.0258 loss: 0.0687 2022/08/26 02:15:55 - mmengine - INFO - Epoch(train) [100][55/63] lr: 1.0000e-04 eta: 19:02:54 time: 0.8405 data_time: 0.0281 memory: 25127 loss_text: 0.0443 loss_kernel: 0.0277 loss: 0.0720 2022/08/26 02:15:59 - mmengine - INFO - Epoch(train) [100][60/63] lr: 1.0000e-04 eta: 19:01:25 time: 0.8283 data_time: 0.0183 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0277 loss: 0.0691 2022/08/26 02:16:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:16:02 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/26 02:17:36 - mmengine - INFO - Epoch(train) [101][5/63] lr: 1.0000e-04 eta: 19:01:25 time: 9.3326 data_time: 8.4727 memory: 25127 loss_text: 0.0432 loss_kernel: 0.0261 loss: 0.0693 2022/08/26 02:17:41 - mmengine - INFO - Epoch(train) [101][10/63] lr: 1.0000e-04 eta: 19:06:21 time: 9.3327 data_time: 8.4985 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0234 loss: 0.0604 2022/08/26 02:17:45 - mmengine - INFO - Epoch(train) [101][15/63] lr: 1.0000e-04 eta: 19:06:21 time: 0.8654 data_time: 0.0348 memory: 25127 loss_text: 0.0424 loss_kernel: 0.0259 loss: 0.0683 2022/08/26 02:17:49 - mmengine - INFO - Epoch(train) [101][20/63] lr: 1.0000e-04 eta: 19:04:54 time: 0.8629 data_time: 0.0230 memory: 25127 loss_text: 0.0437 loss_kernel: 0.0275 loss: 0.0712 2022/08/26 02:17:54 - mmengine - INFO - Epoch(train) [101][25/63] lr: 1.0000e-04 eta: 19:04:54 time: 0.8588 data_time: 0.0434 memory: 25127 loss_text: 0.0390 loss_kernel: 0.0256 loss: 0.0646 2022/08/26 02:17:58 - mmengine - INFO - Epoch(train) [101][30/63] lr: 1.0000e-04 eta: 19:03:26 time: 0.8617 data_time: 0.0290 memory: 25127 loss_text: 0.0368 loss_kernel: 0.0247 loss: 0.0615 2022/08/26 02:18:02 - mmengine - INFO - Epoch(train) [101][35/63] lr: 1.0000e-04 eta: 19:03:26 time: 0.8710 data_time: 0.0278 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0247 loss: 0.0606 2022/08/26 02:18:07 - mmengine - INFO - Epoch(train) [101][40/63] lr: 1.0000e-04 eta: 19:02:01 time: 0.9003 data_time: 0.0398 memory: 25127 loss_text: 0.0457 loss_kernel: 0.0278 loss: 0.0736 2022/08/26 02:18:11 - mmengine - INFO - Epoch(train) [101][45/63] lr: 1.0000e-04 eta: 19:02:01 time: 0.8986 data_time: 0.0307 memory: 25127 loss_text: 0.0470 loss_kernel: 0.0282 loss: 0.0752 2022/08/26 02:18:15 - mmengine - INFO - Epoch(train) [101][50/63] lr: 1.0000e-04 eta: 19:00:34 time: 0.8566 data_time: 0.0337 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0266 loss: 0.0688 2022/08/26 02:18:20 - mmengine - INFO - Epoch(train) [101][55/63] lr: 1.0000e-04 eta: 19:00:34 time: 0.8616 data_time: 0.0314 memory: 25127 loss_text: 0.0451 loss_kernel: 0.0279 loss: 0.0730 2022/08/26 02:18:24 - mmengine - INFO - Epoch(train) [101][60/63] lr: 1.0000e-04 eta: 18:59:07 time: 0.8558 data_time: 0.0211 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0272 loss: 0.0694 2022/08/26 02:18:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:19:54 - mmengine - INFO - Epoch(train) [102][5/63] lr: 1.0000e-04 eta: 18:59:07 time: 9.1120 data_time: 8.3230 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0282 loss: 0.0708 2022/08/26 02:19:58 - mmengine - INFO - Epoch(train) [102][10/63] lr: 1.0000e-04 eta: 19:03:51 time: 9.1694 data_time: 8.3297 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0265 loss: 0.0657 2022/08/26 02:20:02 - mmengine - INFO - Epoch(train) [102][15/63] lr: 1.0000e-04 eta: 19:03:51 time: 0.8837 data_time: 0.0324 memory: 25127 loss_text: 0.0471 loss_kernel: 0.0288 loss: 0.0759 2022/08/26 02:20:07 - mmengine - INFO - Epoch(train) [102][20/63] lr: 1.0000e-04 eta: 19:02:26 time: 0.8915 data_time: 0.0432 memory: 25127 loss_text: 0.0454 loss_kernel: 0.0270 loss: 0.0724 2022/08/26 02:20:11 - mmengine - INFO - Epoch(train) [102][25/63] lr: 1.0000e-04 eta: 19:02:26 time: 0.8525 data_time: 0.0328 memory: 25127 loss_text: 0.0400 loss_kernel: 0.0249 loss: 0.0649 2022/08/26 02:20:15 - mmengine - INFO - Epoch(train) [102][30/63] lr: 1.0000e-04 eta: 19:00:59 time: 0.8521 data_time: 0.0248 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0247 loss: 0.0632 2022/08/26 02:20:20 - mmengine - INFO - Epoch(train) [102][35/63] lr: 1.0000e-04 eta: 19:00:59 time: 0.8818 data_time: 0.0402 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0245 loss: 0.0616 2022/08/26 02:20:24 - mmengine - INFO - Epoch(train) [102][40/63] lr: 1.0000e-04 eta: 18:59:33 time: 0.8795 data_time: 0.0313 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0254 loss: 0.0647 2022/08/26 02:20:28 - mmengine - INFO - Epoch(train) [102][45/63] lr: 1.0000e-04 eta: 18:59:33 time: 0.8600 data_time: 0.0281 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0255 loss: 0.0662 2022/08/26 02:20:33 - mmengine - INFO - Epoch(train) [102][50/63] lr: 1.0000e-04 eta: 18:58:06 time: 0.8441 data_time: 0.0299 memory: 25127 loss_text: 0.0387 loss_kernel: 0.0248 loss: 0.0635 2022/08/26 02:20:37 - mmengine - INFO - Epoch(train) [102][55/63] lr: 1.0000e-04 eta: 18:58:06 time: 0.8737 data_time: 0.0265 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0241 loss: 0.0594 2022/08/26 02:20:41 - mmengine - INFO - Epoch(train) [102][60/63] lr: 1.0000e-04 eta: 18:56:40 time: 0.8665 data_time: 0.0304 memory: 25127 loss_text: 0.0430 loss_kernel: 0.0263 loss: 0.0693 2022/08/26 02:20:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:22:11 - mmengine - INFO - Epoch(train) [103][5/63] lr: 1.0000e-04 eta: 18:56:40 time: 9.1424 data_time: 8.3544 memory: 25127 loss_text: 0.0508 loss_kernel: 0.0296 loss: 0.0803 2022/08/26 02:22:15 - mmengine - INFO - Epoch(train) [103][10/63] lr: 1.0000e-04 eta: 19:01:22 time: 9.1756 data_time: 8.3621 memory: 25127 loss_text: 0.0408 loss_kernel: 0.0255 loss: 0.0663 2022/08/26 02:22:19 - mmengine - INFO - Epoch(train) [103][15/63] lr: 1.0000e-04 eta: 19:01:22 time: 0.8287 data_time: 0.0352 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0238 loss: 0.0580 2022/08/26 02:22:24 - mmengine - INFO - Epoch(train) [103][20/63] lr: 1.0000e-04 eta: 18:59:59 time: 0.9262 data_time: 0.0335 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0239 loss: 0.0589 2022/08/26 02:22:29 - mmengine - INFO - Epoch(train) [103][25/63] lr: 1.0000e-04 eta: 18:59:59 time: 0.9306 data_time: 0.0253 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0253 loss: 0.0636 2022/08/26 02:22:33 - mmengine - INFO - Epoch(train) [103][30/63] lr: 1.0000e-04 eta: 18:58:31 time: 0.8286 data_time: 0.0229 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0274 loss: 0.0686 2022/08/26 02:22:37 - mmengine - INFO - Epoch(train) [103][35/63] lr: 1.0000e-04 eta: 18:58:31 time: 0.8416 data_time: 0.0323 memory: 25127 loss_text: 0.0433 loss_kernel: 0.0273 loss: 0.0707 2022/08/26 02:22:41 - mmengine - INFO - Epoch(train) [103][40/63] lr: 1.0000e-04 eta: 18:57:05 time: 0.8465 data_time: 0.0257 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0253 loss: 0.0642 2022/08/26 02:22:46 - mmengine - INFO - Epoch(train) [103][45/63] lr: 1.0000e-04 eta: 18:57:05 time: 0.8925 data_time: 0.0402 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0278 loss: 0.0722 2022/08/26 02:22:50 - mmengine - INFO - Epoch(train) [103][50/63] lr: 1.0000e-04 eta: 18:55:41 time: 0.9035 data_time: 0.0436 memory: 25127 loss_text: 0.0486 loss_kernel: 0.0291 loss: 0.0777 2022/08/26 02:22:55 - mmengine - INFO - Epoch(train) [103][55/63] lr: 1.0000e-04 eta: 18:55:41 time: 0.8803 data_time: 0.0389 memory: 25127 loss_text: 0.0392 loss_kernel: 0.0260 loss: 0.0651 2022/08/26 02:22:59 - mmengine - INFO - Epoch(train) [103][60/63] lr: 1.0000e-04 eta: 18:54:18 time: 0.8900 data_time: 0.0383 memory: 25127 loss_text: 0.0355 loss_kernel: 0.0244 loss: 0.0599 2022/08/26 02:23:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:24:28 - mmengine - INFO - Epoch(train) [104][5/63] lr: 1.0000e-04 eta: 18:54:18 time: 9.0684 data_time: 8.2811 memory: 25127 loss_text: 0.0440 loss_kernel: 0.0284 loss: 0.0724 2022/08/26 02:24:33 - mmengine - INFO - Epoch(train) [104][10/63] lr: 1.0000e-04 eta: 18:58:55 time: 9.1697 data_time: 8.3039 memory: 25127 loss_text: 0.0390 loss_kernel: 0.0252 loss: 0.0643 2022/08/26 02:24:37 - mmengine - INFO - Epoch(train) [104][15/63] lr: 1.0000e-04 eta: 18:58:55 time: 0.8856 data_time: 0.0361 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0249 loss: 0.0624 2022/08/26 02:24:41 - mmengine - INFO - Epoch(train) [104][20/63] lr: 1.0000e-04 eta: 18:57:29 time: 0.8418 data_time: 0.0197 memory: 25127 loss_text: 0.0349 loss_kernel: 0.0238 loss: 0.0586 2022/08/26 02:24:46 - mmengine - INFO - Epoch(train) [104][25/63] lr: 1.0000e-04 eta: 18:57:29 time: 0.8433 data_time: 0.0276 memory: 25127 loss_text: 0.0387 loss_kernel: 0.0253 loss: 0.0640 2022/08/26 02:24:50 - mmengine - INFO - Epoch(train) [104][30/63] lr: 1.0000e-04 eta: 18:56:03 time: 0.8496 data_time: 0.0288 memory: 25127 loss_text: 0.0440 loss_kernel: 0.0276 loss: 0.0717 2022/08/26 02:24:54 - mmengine - INFO - Epoch(train) [104][35/63] lr: 1.0000e-04 eta: 18:56:03 time: 0.8619 data_time: 0.0322 memory: 25127 loss_text: 0.0403 loss_kernel: 0.0255 loss: 0.0658 2022/08/26 02:24:58 - mmengine - INFO - Epoch(train) [104][40/63] lr: 1.0000e-04 eta: 18:54:37 time: 0.8515 data_time: 0.0296 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0247 loss: 0.0627 2022/08/26 02:25:04 - mmengine - INFO - Epoch(train) [104][45/63] lr: 1.0000e-04 eta: 18:54:37 time: 0.9545 data_time: 0.0266 memory: 25127 loss_text: 0.0408 loss_kernel: 0.0269 loss: 0.0678 2022/08/26 02:25:08 - mmengine - INFO - Epoch(train) [104][50/63] lr: 1.0000e-04 eta: 18:53:19 time: 0.9867 data_time: 0.0597 memory: 25127 loss_text: 0.0478 loss_kernel: 0.0289 loss: 0.0767 2022/08/26 02:25:13 - mmengine - INFO - Epoch(train) [104][55/63] lr: 1.0000e-04 eta: 18:53:19 time: 0.8919 data_time: 0.0733 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0275 loss: 0.0720 2022/08/26 02:25:17 - mmengine - INFO - Epoch(train) [104][60/63] lr: 1.0000e-04 eta: 18:51:54 time: 0.8586 data_time: 0.0405 memory: 25127 loss_text: 0.0363 loss_kernel: 0.0254 loss: 0.0617 2022/08/26 02:25:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:26:49 - mmengine - INFO - Epoch(train) [105][5/63] lr: 1.0000e-04 eta: 18:51:54 time: 9.3208 data_time: 8.4964 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0235 loss: 0.0589 2022/08/26 02:26:53 - mmengine - INFO - Epoch(train) [105][10/63] lr: 1.0000e-04 eta: 18:56:38 time: 9.3738 data_time: 8.5146 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0264 loss: 0.0678 2022/08/26 02:26:57 - mmengine - INFO - Epoch(train) [105][15/63] lr: 1.0000e-04 eta: 18:56:38 time: 0.8876 data_time: 0.0313 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0263 loss: 0.0676 2022/08/26 02:27:02 - mmengine - INFO - Epoch(train) [105][20/63] lr: 1.0000e-04 eta: 18:55:15 time: 0.9037 data_time: 0.0244 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0235 loss: 0.0605 2022/08/26 02:27:06 - mmengine - INFO - Epoch(train) [105][25/63] lr: 1.0000e-04 eta: 18:55:15 time: 0.8583 data_time: 0.0306 memory: 25127 loss_text: 0.0456 loss_kernel: 0.0268 loss: 0.0724 2022/08/26 02:27:10 - mmengine - INFO - Epoch(train) [105][30/63] lr: 1.0000e-04 eta: 18:53:50 time: 0.8570 data_time: 0.0266 memory: 25127 loss_text: 0.0493 loss_kernel: 0.0289 loss: 0.0782 2022/08/26 02:27:15 - mmengine - INFO - Epoch(train) [105][35/63] lr: 1.0000e-04 eta: 18:53:50 time: 0.8564 data_time: 0.0302 memory: 25127 loss_text: 0.0406 loss_kernel: 0.0268 loss: 0.0674 2022/08/26 02:27:19 - mmengine - INFO - Epoch(train) [105][40/63] lr: 1.0000e-04 eta: 18:52:26 time: 0.8545 data_time: 0.0289 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0267 loss: 0.0692 2022/08/26 02:27:23 - mmengine - INFO - Epoch(train) [105][45/63] lr: 1.0000e-04 eta: 18:52:26 time: 0.8785 data_time: 0.0276 memory: 25127 loss_text: 0.0438 loss_kernel: 0.0283 loss: 0.0720 2022/08/26 02:27:28 - mmengine - INFO - Epoch(train) [105][50/63] lr: 1.0000e-04 eta: 18:51:02 time: 0.8676 data_time: 0.0337 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0288 loss: 0.0733 2022/08/26 02:27:32 - mmengine - INFO - Epoch(train) [105][55/63] lr: 1.0000e-04 eta: 18:51:02 time: 0.8598 data_time: 0.0287 memory: 25127 loss_text: 0.0455 loss_kernel: 0.0266 loss: 0.0721 2022/08/26 02:27:36 - mmengine - INFO - Epoch(train) [105][60/63] lr: 1.0000e-04 eta: 18:49:39 time: 0.8625 data_time: 0.0236 memory: 25127 loss_text: 0.0439 loss_kernel: 0.0257 loss: 0.0696 2022/08/26 02:27:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:29:06 - mmengine - INFO - Epoch(train) [106][5/63] lr: 1.0000e-04 eta: 18:49:39 time: 9.1530 data_time: 8.3669 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0241 loss: 0.0612 2022/08/26 02:29:10 - mmengine - INFO - Epoch(train) [106][10/63] lr: 1.0000e-04 eta: 18:54:10 time: 9.1922 data_time: 8.3969 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0242 loss: 0.0635 2022/08/26 02:29:15 - mmengine - INFO - Epoch(train) [106][15/63] lr: 1.0000e-04 eta: 18:54:10 time: 0.8496 data_time: 0.0502 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0253 loss: 0.0646 2022/08/26 02:29:19 - mmengine - INFO - Epoch(train) [106][20/63] lr: 1.0000e-04 eta: 18:52:45 time: 0.8301 data_time: 0.0345 memory: 25127 loss_text: 0.0438 loss_kernel: 0.0265 loss: 0.0703 2022/08/26 02:29:23 - mmengine - INFO - Epoch(train) [106][25/63] lr: 1.0000e-04 eta: 18:52:45 time: 0.8786 data_time: 0.0313 memory: 25127 loss_text: 0.0459 loss_kernel: 0.0271 loss: 0.0729 2022/08/26 02:29:28 - mmengine - INFO - Epoch(train) [106][30/63] lr: 1.0000e-04 eta: 18:51:22 time: 0.8769 data_time: 0.0292 memory: 25127 loss_text: 0.0435 loss_kernel: 0.0274 loss: 0.0710 2022/08/26 02:29:32 - mmengine - INFO - Epoch(train) [106][35/63] lr: 1.0000e-04 eta: 18:51:22 time: 0.8172 data_time: 0.0332 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0280 loss: 0.0702 2022/08/26 02:29:36 - mmengine - INFO - Epoch(train) [106][40/63] lr: 1.0000e-04 eta: 18:49:57 time: 0.8460 data_time: 0.0344 memory: 25127 loss_text: 0.0421 loss_kernel: 0.0274 loss: 0.0695 2022/08/26 02:29:40 - mmengine - INFO - Epoch(train) [106][45/63] lr: 1.0000e-04 eta: 18:49:57 time: 0.8637 data_time: 0.0350 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0258 loss: 0.0683 2022/08/26 02:29:44 - mmengine - INFO - Epoch(train) [106][50/63] lr: 1.0000e-04 eta: 18:48:34 time: 0.8500 data_time: 0.0304 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0247 loss: 0.0627 2022/08/26 02:29:49 - mmengine - INFO - Epoch(train) [106][55/63] lr: 1.0000e-04 eta: 18:48:34 time: 0.8517 data_time: 0.0261 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0239 loss: 0.0590 2022/08/26 02:29:53 - mmengine - INFO - Epoch(train) [106][60/63] lr: 1.0000e-04 eta: 18:47:10 time: 0.8510 data_time: 0.0292 memory: 25127 loss_text: 0.0390 loss_kernel: 0.0242 loss: 0.0632 2022/08/26 02:29:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:31:25 - mmengine - INFO - Epoch(train) [107][5/63] lr: 1.0000e-04 eta: 18:47:10 time: 9.3069 data_time: 8.5066 memory: 25127 loss_text: 0.0365 loss_kernel: 0.0241 loss: 0.0606 2022/08/26 02:31:29 - mmengine - INFO - Epoch(train) [107][10/63] lr: 1.0000e-04 eta: 18:51:47 time: 9.3813 data_time: 8.5448 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0257 loss: 0.0628 2022/08/26 02:31:34 - mmengine - INFO - Epoch(train) [107][15/63] lr: 1.0000e-04 eta: 18:51:47 time: 0.9131 data_time: 0.0489 memory: 25127 loss_text: 0.0402 loss_kernel: 0.0269 loss: 0.0671 2022/08/26 02:31:38 - mmengine - INFO - Epoch(train) [107][20/63] lr: 1.0000e-04 eta: 18:50:25 time: 0.8829 data_time: 0.0252 memory: 25127 loss_text: 0.0448 loss_kernel: 0.0269 loss: 0.0718 2022/08/26 02:31:43 - mmengine - INFO - Epoch(train) [107][25/63] lr: 1.0000e-04 eta: 18:50:25 time: 0.8875 data_time: 0.0372 memory: 25127 loss_text: 0.0441 loss_kernel: 0.0258 loss: 0.0699 2022/08/26 02:31:47 - mmengine - INFO - Epoch(train) [107][30/63] lr: 1.0000e-04 eta: 18:49:02 time: 0.8697 data_time: 0.0271 memory: 25127 loss_text: 0.0430 loss_kernel: 0.0266 loss: 0.0696 2022/08/26 02:31:51 - mmengine - INFO - Epoch(train) [107][35/63] lr: 1.0000e-04 eta: 18:49:02 time: 0.8430 data_time: 0.0215 memory: 25127 loss_text: 0.0432 loss_kernel: 0.0270 loss: 0.0703 2022/08/26 02:31:55 - mmengine - INFO - Epoch(train) [107][40/63] lr: 1.0000e-04 eta: 18:47:40 time: 0.8801 data_time: 0.0258 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0240 loss: 0.0594 2022/08/26 02:32:00 - mmengine - INFO - Epoch(train) [107][45/63] lr: 1.0000e-04 eta: 18:47:40 time: 0.8633 data_time: 0.0275 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0233 loss: 0.0563 2022/08/26 02:32:04 - mmengine - INFO - Epoch(train) [107][50/63] lr: 1.0000e-04 eta: 18:46:18 time: 0.8654 data_time: 0.0294 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0226 loss: 0.0567 2022/08/26 02:32:08 - mmengine - INFO - Epoch(train) [107][55/63] lr: 1.0000e-04 eta: 18:46:18 time: 0.8655 data_time: 0.0334 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0274 loss: 0.0686 2022/08/26 02:32:14 - mmengine - INFO - Epoch(train) [107][60/63] lr: 1.0000e-04 eta: 18:45:00 time: 0.9458 data_time: 0.0304 memory: 25127 loss_text: 0.0415 loss_kernel: 0.0280 loss: 0.0695 2022/08/26 02:32:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:33:46 - mmengine - INFO - Epoch(train) [108][5/63] lr: 1.0000e-04 eta: 18:45:00 time: 9.5062 data_time: 8.5872 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0239 loss: 0.0605 2022/08/26 02:33:50 - mmengine - INFO - Epoch(train) [108][10/63] lr: 1.0000e-04 eta: 18:49:37 time: 9.4696 data_time: 8.6017 memory: 25127 loss_text: 0.0387 loss_kernel: 0.0229 loss: 0.0615 2022/08/26 02:33:56 - mmengine - INFO - Epoch(train) [108][15/63] lr: 1.0000e-04 eta: 18:49:37 time: 0.9708 data_time: 0.0399 memory: 25127 loss_text: 0.0436 loss_kernel: 0.0259 loss: 0.0695 2022/08/26 02:34:00 - mmengine - INFO - Epoch(train) [108][20/63] lr: 1.0000e-04 eta: 18:48:19 time: 0.9587 data_time: 0.0373 memory: 25127 loss_text: 0.0449 loss_kernel: 0.0279 loss: 0.0729 2022/08/26 02:34:04 - mmengine - INFO - Epoch(train) [108][25/63] lr: 1.0000e-04 eta: 18:48:19 time: 0.8628 data_time: 0.0313 memory: 25127 loss_text: 0.0398 loss_kernel: 0.0253 loss: 0.0652 2022/08/26 02:34:09 - mmengine - INFO - Epoch(train) [108][30/63] lr: 1.0000e-04 eta: 18:46:57 time: 0.8644 data_time: 0.0256 memory: 25127 loss_text: 0.0461 loss_kernel: 0.0293 loss: 0.0754 2022/08/26 02:34:13 - mmengine - INFO - Epoch(train) [108][35/63] lr: 1.0000e-04 eta: 18:46:57 time: 0.8927 data_time: 0.0362 memory: 25127 loss_text: 0.0465 loss_kernel: 0.0294 loss: 0.0759 2022/08/26 02:34:18 - mmengine - INFO - Epoch(train) [108][40/63] lr: 1.0000e-04 eta: 18:45:36 time: 0.8946 data_time: 0.0286 memory: 25127 loss_text: 0.0390 loss_kernel: 0.0264 loss: 0.0654 2022/08/26 02:34:22 - mmengine - INFO - Epoch(train) [108][45/63] lr: 1.0000e-04 eta: 18:45:36 time: 0.8572 data_time: 0.0247 memory: 25127 loss_text: 0.0388 loss_kernel: 0.0263 loss: 0.0650 2022/08/26 02:34:26 - mmengine - INFO - Epoch(train) [108][50/63] lr: 1.0000e-04 eta: 18:44:14 time: 0.8508 data_time: 0.0319 memory: 25127 loss_text: 0.0450 loss_kernel: 0.0269 loss: 0.0719 2022/08/26 02:34:30 - mmengine - INFO - Epoch(train) [108][55/63] lr: 1.0000e-04 eta: 18:44:14 time: 0.8645 data_time: 0.0261 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0264 loss: 0.0709 2022/08/26 02:34:35 - mmengine - INFO - Epoch(train) [108][60/63] lr: 1.0000e-04 eta: 18:42:53 time: 0.8786 data_time: 0.0362 memory: 25127 loss_text: 0.0468 loss_kernel: 0.0274 loss: 0.0742 2022/08/26 02:34:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:36:09 - mmengine - INFO - Epoch(train) [109][5/63] lr: 1.0000e-04 eta: 18:42:53 time: 9.5389 data_time: 8.7077 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0234 loss: 0.0595 2022/08/26 02:36:13 - mmengine - INFO - Epoch(train) [109][10/63] lr: 1.0000e-04 eta: 18:47:33 time: 9.5960 data_time: 8.7308 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0236 loss: 0.0590 2022/08/26 02:36:18 - mmengine - INFO - Epoch(train) [109][15/63] lr: 1.0000e-04 eta: 18:47:33 time: 0.9105 data_time: 0.0366 memory: 25127 loss_text: 0.0456 loss_kernel: 0.0275 loss: 0.0731 2022/08/26 02:36:22 - mmengine - INFO - Epoch(train) [109][20/63] lr: 1.0000e-04 eta: 18:46:13 time: 0.9028 data_time: 0.0225 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0270 loss: 0.0717 2022/08/26 02:36:27 - mmengine - INFO - Epoch(train) [109][25/63] lr: 1.0000e-04 eta: 18:46:13 time: 0.8776 data_time: 0.0412 memory: 25127 loss_text: 0.0391 loss_kernel: 0.0244 loss: 0.0635 2022/08/26 02:36:31 - mmengine - INFO - Epoch(train) [109][30/63] lr: 1.0000e-04 eta: 18:44:51 time: 0.8697 data_time: 0.0338 memory: 25127 loss_text: 0.0390 loss_kernel: 0.0244 loss: 0.0634 2022/08/26 02:36:36 - mmengine - INFO - Epoch(train) [109][35/63] lr: 1.0000e-04 eta: 18:44:51 time: 0.8908 data_time: 0.0253 memory: 25127 loss_text: 0.0387 loss_kernel: 0.0245 loss: 0.0632 2022/08/26 02:36:40 - mmengine - INFO - Epoch(train) [109][40/63] lr: 1.0000e-04 eta: 18:43:31 time: 0.8893 data_time: 0.0300 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0273 loss: 0.0686 2022/08/26 02:36:44 - mmengine - INFO - Epoch(train) [109][45/63] lr: 1.0000e-04 eta: 18:43:31 time: 0.8622 data_time: 0.0309 memory: 25127 loss_text: 0.0423 loss_kernel: 0.0281 loss: 0.0704 2022/08/26 02:36:49 - mmengine - INFO - Epoch(train) [109][50/63] lr: 1.0000e-04 eta: 18:42:11 time: 0.8921 data_time: 0.0348 memory: 25127 loss_text: 0.0419 loss_kernel: 0.0277 loss: 0.0696 2022/08/26 02:36:53 - mmengine - INFO - Epoch(train) [109][55/63] lr: 1.0000e-04 eta: 18:42:11 time: 0.9019 data_time: 0.0307 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0257 loss: 0.0652 2022/08/26 02:36:58 - mmengine - INFO - Epoch(train) [109][60/63] lr: 1.0000e-04 eta: 18:40:51 time: 0.8765 data_time: 0.0235 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0252 loss: 0.0641 2022/08/26 02:37:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:38:29 - mmengine - INFO - Epoch(train) [110][5/63] lr: 1.0000e-04 eta: 18:40:51 time: 9.2689 data_time: 8.4620 memory: 25127 loss_text: 0.0382 loss_kernel: 0.0258 loss: 0.0641 2022/08/26 02:38:33 - mmengine - INFO - Epoch(train) [110][10/63] lr: 1.0000e-04 eta: 18:45:15 time: 9.3268 data_time: 8.4920 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0237 loss: 0.0597 2022/08/26 02:38:37 - mmengine - INFO - Epoch(train) [110][15/63] lr: 1.0000e-04 eta: 18:45:15 time: 0.8394 data_time: 0.0405 memory: 25127 loss_text: 0.0400 loss_kernel: 0.0255 loss: 0.0655 2022/08/26 02:38:41 - mmengine - INFO - Epoch(train) [110][20/63] lr: 1.0000e-04 eta: 18:43:52 time: 0.8108 data_time: 0.0192 memory: 25127 loss_text: 0.0451 loss_kernel: 0.0258 loss: 0.0709 2022/08/26 02:38:47 - mmengine - INFO - Epoch(train) [110][25/63] lr: 1.0000e-04 eta: 18:43:52 time: 1.0096 data_time: 0.0680 memory: 25127 loss_text: 0.0441 loss_kernel: 0.0258 loss: 0.0699 2022/08/26 02:38:51 - mmengine - INFO - Epoch(train) [110][30/63] lr: 1.0000e-04 eta: 18:42:37 time: 1.0055 data_time: 0.0616 memory: 25127 loss_text: 0.0491 loss_kernel: 0.0296 loss: 0.0786 2022/08/26 02:38:56 - mmengine - INFO - Epoch(train) [110][35/63] lr: 1.0000e-04 eta: 18:42:37 time: 0.8544 data_time: 0.0282 memory: 25127 loss_text: 0.0555 loss_kernel: 0.0313 loss: 0.0868 2022/08/26 02:39:00 - mmengine - INFO - Epoch(train) [110][40/63] lr: 1.0000e-04 eta: 18:41:17 time: 0.8736 data_time: 0.0293 memory: 25127 loss_text: 0.0568 loss_kernel: 0.0323 loss: 0.0891 2022/08/26 02:39:05 - mmengine - INFO - Epoch(train) [110][45/63] lr: 1.0000e-04 eta: 18:41:17 time: 0.9296 data_time: 0.0909 memory: 25127 loss_text: 0.0534 loss_kernel: 0.0309 loss: 0.0843 2022/08/26 02:39:09 - mmengine - INFO - Epoch(train) [110][50/63] lr: 1.0000e-04 eta: 18:40:00 time: 0.9347 data_time: 0.0976 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0276 loss: 0.0721 2022/08/26 02:39:15 - mmengine - INFO - Epoch(train) [110][55/63] lr: 1.0000e-04 eta: 18:40:00 time: 0.9691 data_time: 0.0839 memory: 25127 loss_text: 0.0435 loss_kernel: 0.0283 loss: 0.0718 2022/08/26 02:39:19 - mmengine - INFO - Epoch(train) [110][60/63] lr: 1.0000e-04 eta: 18:38:44 time: 0.9578 data_time: 0.0782 memory: 25127 loss_text: 0.0417 loss_kernel: 0.0272 loss: 0.0689 2022/08/26 02:39:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:40:50 - mmengine - INFO - Epoch(train) [111][5/63] lr: 1.0000e-04 eta: 18:38:44 time: 9.2994 data_time: 8.4721 memory: 25127 loss_text: 0.0369 loss_kernel: 0.0249 loss: 0.0618 2022/08/26 02:40:55 - mmengine - INFO - Epoch(train) [111][10/63] lr: 1.0000e-04 eta: 18:43:07 time: 9.3774 data_time: 8.4991 memory: 25127 loss_text: 0.0435 loss_kernel: 0.0278 loss: 0.0713 2022/08/26 02:41:00 - mmengine - INFO - Epoch(train) [111][15/63] lr: 1.0000e-04 eta: 18:43:07 time: 0.9666 data_time: 0.0394 memory: 25127 loss_text: 0.0472 loss_kernel: 0.0274 loss: 0.0747 2022/08/26 02:41:04 - mmengine - INFO - Epoch(train) [111][20/63] lr: 1.0000e-04 eta: 18:41:50 time: 0.9463 data_time: 0.0220 memory: 25127 loss_text: 0.0441 loss_kernel: 0.0261 loss: 0.0701 2022/08/26 02:41:09 - mmengine - INFO - Epoch(train) [111][25/63] lr: 1.0000e-04 eta: 18:41:50 time: 0.8875 data_time: 0.0327 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0262 loss: 0.0677 2022/08/26 02:41:14 - mmengine - INFO - Epoch(train) [111][30/63] lr: 1.0000e-04 eta: 18:40:33 time: 0.9431 data_time: 0.0314 memory: 25127 loss_text: 0.0410 loss_kernel: 0.0267 loss: 0.0677 2022/08/26 02:41:18 - mmengine - INFO - Epoch(train) [111][35/63] lr: 1.0000e-04 eta: 18:40:33 time: 0.9460 data_time: 0.0294 memory: 25127 loss_text: 0.0415 loss_kernel: 0.0264 loss: 0.0679 2022/08/26 02:41:23 - mmengine - INFO - Epoch(train) [111][40/63] lr: 1.0000e-04 eta: 18:39:13 time: 0.8674 data_time: 0.0274 memory: 25127 loss_text: 0.0442 loss_kernel: 0.0272 loss: 0.0714 2022/08/26 02:41:27 - mmengine - INFO - Epoch(train) [111][45/63] lr: 1.0000e-04 eta: 18:39:13 time: 0.8254 data_time: 0.0282 memory: 25127 loss_text: 0.0474 loss_kernel: 0.0286 loss: 0.0760 2022/08/26 02:41:31 - mmengine - INFO - Epoch(train) [111][50/63] lr: 1.0000e-04 eta: 18:37:54 time: 0.8636 data_time: 0.0317 memory: 25127 loss_text: 0.0410 loss_kernel: 0.0253 loss: 0.0662 2022/08/26 02:41:36 - mmengine - INFO - Epoch(train) [111][55/63] lr: 1.0000e-04 eta: 18:37:54 time: 0.8820 data_time: 0.0268 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0228 loss: 0.0571 2022/08/26 02:41:40 - mmengine - INFO - Epoch(train) [111][60/63] lr: 1.0000e-04 eta: 18:36:34 time: 0.8691 data_time: 0.0202 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0228 loss: 0.0576 2022/08/26 02:41:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:43:09 - mmengine - INFO - Epoch(train) [112][5/63] lr: 1.0000e-04 eta: 18:36:34 time: 9.0824 data_time: 8.2759 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0234 loss: 0.0579 2022/08/26 02:43:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:43:13 - mmengine - INFO - Epoch(train) [112][10/63] lr: 1.0000e-04 eta: 18:40:43 time: 9.1166 data_time: 8.2839 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0253 loss: 0.0605 2022/08/26 02:43:18 - mmengine - INFO - Epoch(train) [112][15/63] lr: 1.0000e-04 eta: 18:40:43 time: 0.8668 data_time: 0.0561 memory: 25127 loss_text: 0.0405 loss_kernel: 0.0271 loss: 0.0676 2022/08/26 02:43:22 - mmengine - INFO - Epoch(train) [112][20/63] lr: 1.0000e-04 eta: 18:39:23 time: 0.8620 data_time: 0.0536 memory: 25127 loss_text: 0.0401 loss_kernel: 0.0259 loss: 0.0660 2022/08/26 02:43:27 - mmengine - INFO - Epoch(train) [112][25/63] lr: 1.0000e-04 eta: 18:39:23 time: 0.8987 data_time: 0.0245 memory: 25127 loss_text: 0.0382 loss_kernel: 0.0248 loss: 0.0630 2022/08/26 02:43:32 - mmengine - INFO - Epoch(train) [112][30/63] lr: 1.0000e-04 eta: 18:38:09 time: 0.9967 data_time: 0.0290 memory: 25127 loss_text: 0.0426 loss_kernel: 0.0259 loss: 0.0685 2022/08/26 02:43:36 - mmengine - INFO - Epoch(train) [112][35/63] lr: 1.0000e-04 eta: 18:38:09 time: 0.9623 data_time: 0.0302 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0255 loss: 0.0667 2022/08/26 02:43:42 - mmengine - INFO - Epoch(train) [112][40/63] lr: 1.0000e-04 eta: 18:36:55 time: 0.9765 data_time: 0.0260 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0250 loss: 0.0662 2022/08/26 02:43:46 - mmengine - INFO - Epoch(train) [112][45/63] lr: 1.0000e-04 eta: 18:36:55 time: 0.9448 data_time: 0.0245 memory: 25127 loss_text: 0.0409 loss_kernel: 0.0247 loss: 0.0656 2022/08/26 02:43:50 - mmengine - INFO - Epoch(train) [112][50/63] lr: 1.0000e-04 eta: 18:35:35 time: 0.8571 data_time: 0.0239 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0255 loss: 0.0635 2022/08/26 02:43:55 - mmengine - INFO - Epoch(train) [112][55/63] lr: 1.0000e-04 eta: 18:35:35 time: 0.8769 data_time: 0.0288 memory: 25127 loss_text: 0.0418 loss_kernel: 0.0274 loss: 0.0693 2022/08/26 02:43:59 - mmengine - INFO - Epoch(train) [112][60/63] lr: 1.0000e-04 eta: 18:34:16 time: 0.8613 data_time: 0.0262 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0279 loss: 0.0724 2022/08/26 02:44:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:45:29 - mmengine - INFO - Epoch(train) [113][5/63] lr: 1.0000e-04 eta: 18:34:16 time: 9.2226 data_time: 8.4296 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0243 loss: 0.0604 2022/08/26 02:45:34 - mmengine - INFO - Epoch(train) [113][10/63] lr: 1.0000e-04 eta: 18:38:28 time: 9.2612 data_time: 8.4338 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0271 loss: 0.0717 2022/08/26 02:45:38 - mmengine - INFO - Epoch(train) [113][15/63] lr: 1.0000e-04 eta: 18:38:28 time: 0.8818 data_time: 0.0374 memory: 25127 loss_text: 0.0455 loss_kernel: 0.0278 loss: 0.0733 2022/08/26 02:45:43 - mmengine - INFO - Epoch(train) [113][20/63] lr: 1.0000e-04 eta: 18:37:10 time: 0.8895 data_time: 0.0370 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0254 loss: 0.0620 2022/08/26 02:45:47 - mmengine - INFO - Epoch(train) [113][25/63] lr: 1.0000e-04 eta: 18:37:10 time: 0.8633 data_time: 0.0324 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0271 loss: 0.0660 2022/08/26 02:45:51 - mmengine - INFO - Epoch(train) [113][30/63] lr: 1.0000e-04 eta: 18:35:50 time: 0.8512 data_time: 0.0336 memory: 25127 loss_text: 0.0378 loss_kernel: 0.0250 loss: 0.0628 2022/08/26 02:45:56 - mmengine - INFO - Epoch(train) [113][35/63] lr: 1.0000e-04 eta: 18:35:50 time: 0.8638 data_time: 0.0291 memory: 25127 loss_text: 0.0359 loss_kernel: 0.0232 loss: 0.0592 2022/08/26 02:46:00 - mmengine - INFO - Epoch(train) [113][40/63] lr: 1.0000e-04 eta: 18:34:31 time: 0.8518 data_time: 0.0285 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0239 loss: 0.0593 2022/08/26 02:46:04 - mmengine - INFO - Epoch(train) [113][45/63] lr: 1.0000e-04 eta: 18:34:31 time: 0.8084 data_time: 0.0225 memory: 25127 loss_text: 0.0334 loss_kernel: 0.0233 loss: 0.0567 2022/08/26 02:46:08 - mmengine - INFO - Epoch(train) [113][50/63] lr: 1.0000e-04 eta: 18:33:10 time: 0.8122 data_time: 0.0260 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0240 loss: 0.0572 2022/08/26 02:46:12 - mmengine - INFO - Epoch(train) [113][55/63] lr: 1.0000e-04 eta: 18:33:10 time: 0.8269 data_time: 0.0304 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0234 loss: 0.0567 2022/08/26 02:46:16 - mmengine - INFO - Epoch(train) [113][60/63] lr: 1.0000e-04 eta: 18:31:50 time: 0.8346 data_time: 0.0232 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0229 loss: 0.0566 2022/08/26 02:46:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:47:45 - mmengine - INFO - Epoch(train) [114][5/63] lr: 1.0000e-04 eta: 18:31:50 time: 9.0690 data_time: 8.2825 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0255 loss: 0.0629 2022/08/26 02:47:50 - mmengine - INFO - Epoch(train) [114][10/63] lr: 1.0000e-04 eta: 18:35:54 time: 9.1339 data_time: 8.2988 memory: 25127 loss_text: 0.0372 loss_kernel: 0.0245 loss: 0.0616 2022/08/26 02:47:54 - mmengine - INFO - Epoch(train) [114][15/63] lr: 1.0000e-04 eta: 18:35:54 time: 0.8990 data_time: 0.0373 memory: 25127 loss_text: 0.0378 loss_kernel: 0.0243 loss: 0.0621 2022/08/26 02:47:59 - mmengine - INFO - Epoch(train) [114][20/63] lr: 1.0000e-04 eta: 18:34:36 time: 0.8959 data_time: 0.0335 memory: 25127 loss_text: 0.0435 loss_kernel: 0.0269 loss: 0.0704 2022/08/26 02:48:03 - mmengine - INFO - Epoch(train) [114][25/63] lr: 1.0000e-04 eta: 18:34:36 time: 0.8536 data_time: 0.0298 memory: 25127 loss_text: 0.0441 loss_kernel: 0.0278 loss: 0.0719 2022/08/26 02:48:07 - mmengine - INFO - Epoch(train) [114][30/63] lr: 1.0000e-04 eta: 18:33:18 time: 0.8583 data_time: 0.0240 memory: 25127 loss_text: 0.0376 loss_kernel: 0.0245 loss: 0.0621 2022/08/26 02:48:12 - mmengine - INFO - Epoch(train) [114][35/63] lr: 1.0000e-04 eta: 18:33:18 time: 0.9620 data_time: 0.0347 memory: 25127 loss_text: 0.0372 loss_kernel: 0.0243 loss: 0.0615 2022/08/26 02:48:17 - mmengine - INFO - Epoch(train) [114][40/63] lr: 1.0000e-04 eta: 18:32:04 time: 0.9541 data_time: 0.0294 memory: 25127 loss_text: 0.0372 loss_kernel: 0.0247 loss: 0.0619 2022/08/26 02:48:21 - mmengine - INFO - Epoch(train) [114][45/63] lr: 1.0000e-04 eta: 18:32:04 time: 0.8631 data_time: 0.0240 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0249 loss: 0.0610 2022/08/26 02:48:25 - mmengine - INFO - Epoch(train) [114][50/63] lr: 1.0000e-04 eta: 18:30:46 time: 0.8651 data_time: 0.0243 memory: 25127 loss_text: 0.0450 loss_kernel: 0.0277 loss: 0.0726 2022/08/26 02:48:30 - mmengine - INFO - Epoch(train) [114][55/63] lr: 1.0000e-04 eta: 18:30:46 time: 0.8702 data_time: 0.0262 memory: 25127 loss_text: 0.0451 loss_kernel: 0.0263 loss: 0.0714 2022/08/26 02:48:34 - mmengine - INFO - Epoch(train) [114][60/63] lr: 1.0000e-04 eta: 18:29:28 time: 0.8612 data_time: 0.0271 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0251 loss: 0.0662 2022/08/26 02:48:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:50:04 - mmengine - INFO - Epoch(train) [115][5/63] lr: 1.0000e-04 eta: 18:29:28 time: 9.1884 data_time: 8.3958 memory: 25127 loss_text: 0.0464 loss_kernel: 0.0264 loss: 0.0728 2022/08/26 02:50:08 - mmengine - INFO - Epoch(train) [115][10/63] lr: 1.0000e-04 eta: 18:33:32 time: 9.2255 data_time: 8.4122 memory: 25127 loss_text: 0.0503 loss_kernel: 0.0286 loss: 0.0789 2022/08/26 02:50:12 - mmengine - INFO - Epoch(train) [115][15/63] lr: 1.0000e-04 eta: 18:33:32 time: 0.8195 data_time: 0.0302 memory: 25127 loss_text: 0.0469 loss_kernel: 0.0270 loss: 0.0739 2022/08/26 02:50:18 - mmengine - INFO - Epoch(train) [115][20/63] lr: 1.0000e-04 eta: 18:32:17 time: 0.9389 data_time: 0.0169 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0253 loss: 0.0680 2022/08/26 02:50:23 - mmengine - INFO - Epoch(train) [115][25/63] lr: 1.0000e-04 eta: 18:32:17 time: 1.0168 data_time: 0.0402 memory: 25127 loss_text: 0.0462 loss_kernel: 0.0274 loss: 0.0737 2022/08/26 02:50:27 - mmengine - INFO - Epoch(train) [115][30/63] lr: 1.0000e-04 eta: 18:31:01 time: 0.8965 data_time: 0.0369 memory: 25127 loss_text: 0.0462 loss_kernel: 0.0276 loss: 0.0738 2022/08/26 02:50:31 - mmengine - INFO - Epoch(train) [115][35/63] lr: 1.0000e-04 eta: 18:31:01 time: 0.8371 data_time: 0.0265 memory: 25127 loss_text: 0.0434 loss_kernel: 0.0266 loss: 0.0700 2022/08/26 02:50:36 - mmengine - INFO - Epoch(train) [115][40/63] lr: 1.0000e-04 eta: 18:29:45 time: 0.9006 data_time: 0.0283 memory: 25127 loss_text: 0.0473 loss_kernel: 0.0292 loss: 0.0766 2022/08/26 02:50:40 - mmengine - INFO - Epoch(train) [115][45/63] lr: 1.0000e-04 eta: 18:29:45 time: 0.9265 data_time: 0.0279 memory: 25127 loss_text: 0.0439 loss_kernel: 0.0274 loss: 0.0713 2022/08/26 02:50:45 - mmengine - INFO - Epoch(train) [115][50/63] lr: 1.0000e-04 eta: 18:28:28 time: 0.8723 data_time: 0.0352 memory: 25127 loss_text: 0.0385 loss_kernel: 0.0242 loss: 0.0627 2022/08/26 02:50:49 - mmengine - INFO - Epoch(train) [115][55/63] lr: 1.0000e-04 eta: 18:28:28 time: 0.8518 data_time: 0.0319 memory: 25127 loss_text: 0.0363 loss_kernel: 0.0241 loss: 0.0603 2022/08/26 02:50:53 - mmengine - INFO - Epoch(train) [115][60/63] lr: 1.0000e-04 eta: 18:27:11 time: 0.8673 data_time: 0.0213 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0246 loss: 0.0620 2022/08/26 02:50:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:52:23 - mmengine - INFO - Epoch(train) [116][5/63] lr: 1.0000e-04 eta: 18:27:11 time: 9.1444 data_time: 8.2655 memory: 25127 loss_text: 0.0369 loss_kernel: 0.0235 loss: 0.0604 2022/08/26 02:52:28 - mmengine - INFO - Epoch(train) [116][10/63] lr: 1.0000e-04 eta: 18:31:12 time: 9.2122 data_time: 8.2827 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0255 loss: 0.0662 2022/08/26 02:52:32 - mmengine - INFO - Epoch(train) [116][15/63] lr: 1.0000e-04 eta: 18:31:12 time: 0.8916 data_time: 0.0321 memory: 25127 loss_text: 0.0401 loss_kernel: 0.0255 loss: 0.0656 2022/08/26 02:52:36 - mmengine - INFO - Epoch(train) [116][20/63] lr: 1.0000e-04 eta: 18:29:55 time: 0.8817 data_time: 0.0219 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0249 loss: 0.0634 2022/08/26 02:52:40 - mmengine - INFO - Epoch(train) [116][25/63] lr: 1.0000e-04 eta: 18:29:55 time: 0.8432 data_time: 0.0276 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0245 loss: 0.0616 2022/08/26 02:52:45 - mmengine - INFO - Epoch(train) [116][30/63] lr: 1.0000e-04 eta: 18:28:39 time: 0.8799 data_time: 0.0237 memory: 25127 loss_text: 0.0364 loss_kernel: 0.0234 loss: 0.0599 2022/08/26 02:52:49 - mmengine - INFO - Epoch(train) [116][35/63] lr: 1.0000e-04 eta: 18:28:39 time: 0.8916 data_time: 0.0362 memory: 25127 loss_text: 0.0483 loss_kernel: 0.0280 loss: 0.0763 2022/08/26 02:52:53 - mmengine - INFO - Epoch(train) [116][40/63] lr: 1.0000e-04 eta: 18:27:21 time: 0.8270 data_time: 0.0314 memory: 25127 loss_text: 0.0657 loss_kernel: 0.0318 loss: 0.0975 2022/08/26 02:52:59 - mmengine - INFO - Epoch(train) [116][45/63] lr: 1.0000e-04 eta: 18:27:21 time: 0.9364 data_time: 0.0263 memory: 25127 loss_text: 0.0653 loss_kernel: 0.0307 loss: 0.0960 2022/08/26 02:53:03 - mmengine - INFO - Epoch(train) [116][50/63] lr: 1.0000e-04 eta: 18:26:08 time: 0.9571 data_time: 0.0329 memory: 25127 loss_text: 0.0591 loss_kernel: 0.0299 loss: 0.0890 2022/08/26 02:53:07 - mmengine - INFO - Epoch(train) [116][55/63] lr: 1.0000e-04 eta: 18:26:08 time: 0.8387 data_time: 0.0232 memory: 25127 loss_text: 0.0691 loss_kernel: 0.0347 loss: 0.1038 2022/08/26 02:53:11 - mmengine - INFO - Epoch(train) [116][60/63] lr: 1.0000e-04 eta: 18:24:49 time: 0.8169 data_time: 0.0198 memory: 25127 loss_text: 0.0779 loss_kernel: 0.0369 loss: 0.1149 2022/08/26 02:53:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:54:42 - mmengine - INFO - Epoch(train) [117][5/63] lr: 1.0000e-04 eta: 18:24:49 time: 9.2016 data_time: 8.4201 memory: 25127 loss_text: 0.0725 loss_kernel: 0.0372 loss: 0.1097 2022/08/26 02:54:46 - mmengine - INFO - Epoch(train) [117][10/63] lr: 1.0000e-04 eta: 18:28:50 time: 9.2846 data_time: 8.4386 memory: 25127 loss_text: 0.0688 loss_kernel: 0.0379 loss: 0.1067 2022/08/26 02:54:51 - mmengine - INFO - Epoch(train) [117][15/63] lr: 1.0000e-04 eta: 18:28:50 time: 0.9150 data_time: 0.0297 memory: 25127 loss_text: 0.0646 loss_kernel: 0.0338 loss: 0.0985 2022/08/26 02:54:55 - mmengine - INFO - Epoch(train) [117][20/63] lr: 1.0000e-04 eta: 18:27:35 time: 0.9060 data_time: 0.0225 memory: 25127 loss_text: 0.0554 loss_kernel: 0.0294 loss: 0.0848 2022/08/26 02:55:00 - mmengine - INFO - Epoch(train) [117][25/63] lr: 1.0000e-04 eta: 18:27:35 time: 0.8626 data_time: 0.0409 memory: 25127 loss_text: 0.0573 loss_kernel: 0.0312 loss: 0.0885 2022/08/26 02:55:04 - mmengine - INFO - Epoch(train) [117][30/63] lr: 1.0000e-04 eta: 18:26:19 time: 0.8698 data_time: 0.0307 memory: 25127 loss_text: 0.0604 loss_kernel: 0.0333 loss: 0.0937 2022/08/26 02:55:08 - mmengine - INFO - Epoch(train) [117][35/63] lr: 1.0000e-04 eta: 18:26:19 time: 0.8570 data_time: 0.0218 memory: 25127 loss_text: 0.0584 loss_kernel: 0.0314 loss: 0.0898 2022/08/26 02:55:13 - mmengine - INFO - Epoch(train) [117][40/63] lr: 1.0000e-04 eta: 18:25:04 time: 0.8946 data_time: 0.0254 memory: 25127 loss_text: 0.0545 loss_kernel: 0.0293 loss: 0.0838 2022/08/26 02:55:17 - mmengine - INFO - Epoch(train) [117][45/63] lr: 1.0000e-04 eta: 18:25:04 time: 0.9114 data_time: 0.0252 memory: 25127 loss_text: 0.0544 loss_kernel: 0.0311 loss: 0.0855 2022/08/26 02:55:22 - mmengine - INFO - Epoch(train) [117][50/63] lr: 1.0000e-04 eta: 18:23:48 time: 0.8662 data_time: 0.0332 memory: 25127 loss_text: 0.0607 loss_kernel: 0.0342 loss: 0.0948 2022/08/26 02:55:26 - mmengine - INFO - Epoch(train) [117][55/63] lr: 1.0000e-04 eta: 18:23:48 time: 0.8522 data_time: 0.0278 memory: 25127 loss_text: 0.0586 loss_kernel: 0.0296 loss: 0.0882 2022/08/26 02:55:30 - mmengine - INFO - Epoch(train) [117][60/63] lr: 1.0000e-04 eta: 18:22:32 time: 0.8600 data_time: 0.0194 memory: 25127 loss_text: 0.0497 loss_kernel: 0.0260 loss: 0.0757 2022/08/26 02:55:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:56:59 - mmengine - INFO - Epoch(train) [118][5/63] lr: 1.0000e-04 eta: 18:22:32 time: 9.0564 data_time: 8.2661 memory: 25127 loss_text: 0.0443 loss_kernel: 0.0268 loss: 0.0711 2022/08/26 02:57:04 - mmengine - INFO - Epoch(train) [118][10/63] lr: 1.0000e-04 eta: 18:26:23 time: 9.1198 data_time: 8.2902 memory: 25127 loss_text: 0.0491 loss_kernel: 0.0292 loss: 0.0783 2022/08/26 02:57:08 - mmengine - INFO - Epoch(train) [118][15/63] lr: 1.0000e-04 eta: 18:26:23 time: 0.8695 data_time: 0.0337 memory: 25127 loss_text: 0.0667 loss_kernel: 0.0343 loss: 0.1010 2022/08/26 02:57:12 - mmengine - INFO - Epoch(train) [118][20/63] lr: 1.0000e-04 eta: 18:25:07 time: 0.8800 data_time: 0.0298 memory: 25127 loss_text: 0.0734 loss_kernel: 0.0370 loss: 0.1104 2022/08/26 02:57:17 - mmengine - INFO - Epoch(train) [118][25/63] lr: 1.0000e-04 eta: 18:25:07 time: 0.8969 data_time: 0.0572 memory: 25127 loss_text: 0.0568 loss_kernel: 0.0326 loss: 0.0894 2022/08/26 02:57:21 - mmengine - INFO - Epoch(train) [118][30/63] lr: 1.0000e-04 eta: 18:23:52 time: 0.8743 data_time: 0.0380 memory: 25127 loss_text: 0.0480 loss_kernel: 0.0291 loss: 0.0772 2022/08/26 02:57:26 - mmengine - INFO - Epoch(train) [118][35/63] lr: 1.0000e-04 eta: 18:23:52 time: 0.8618 data_time: 0.0241 memory: 25127 loss_text: 0.0538 loss_kernel: 0.0308 loss: 0.0847 2022/08/26 02:57:30 - mmengine - INFO - Epoch(train) [118][40/63] lr: 1.0000e-04 eta: 18:22:36 time: 0.8621 data_time: 0.0294 memory: 25127 loss_text: 0.0617 loss_kernel: 0.0324 loss: 0.0941 2022/08/26 02:57:34 - mmengine - INFO - Epoch(train) [118][45/63] lr: 1.0000e-04 eta: 18:22:36 time: 0.8722 data_time: 0.0259 memory: 25127 loss_text: 0.0666 loss_kernel: 0.0342 loss: 0.1008 2022/08/26 02:57:39 - mmengine - INFO - Epoch(train) [118][50/63] lr: 1.0000e-04 eta: 18:21:21 time: 0.8747 data_time: 0.0326 memory: 25127 loss_text: 0.0621 loss_kernel: 0.0315 loss: 0.0936 2022/08/26 02:57:43 - mmengine - INFO - Epoch(train) [118][55/63] lr: 1.0000e-04 eta: 18:21:21 time: 0.8652 data_time: 0.0325 memory: 25127 loss_text: 0.0604 loss_kernel: 0.0310 loss: 0.0914 2022/08/26 02:57:47 - mmengine - INFO - Epoch(train) [118][60/63] lr: 1.0000e-04 eta: 18:20:05 time: 0.8486 data_time: 0.0231 memory: 25127 loss_text: 0.0600 loss_kernel: 0.0331 loss: 0.0932 2022/08/26 02:57:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 02:59:16 - mmengine - INFO - Epoch(train) [119][5/63] lr: 1.0000e-04 eta: 18:20:05 time: 9.0435 data_time: 8.2681 memory: 25127 loss_text: 0.0575 loss_kernel: 0.0306 loss: 0.0881 2022/08/26 02:59:20 - mmengine - INFO - Epoch(train) [119][10/63] lr: 1.0000e-04 eta: 18:23:54 time: 9.1331 data_time: 8.3038 memory: 25127 loss_text: 0.0590 loss_kernel: 0.0330 loss: 0.0920 2022/08/26 02:59:24 - mmengine - INFO - Epoch(train) [119][15/63] lr: 1.0000e-04 eta: 18:23:54 time: 0.8502 data_time: 0.0480 memory: 25127 loss_text: 0.0512 loss_kernel: 0.0295 loss: 0.0807 2022/08/26 02:59:30 - mmengine - INFO - Epoch(train) [119][20/63] lr: 1.0000e-04 eta: 18:22:40 time: 0.9040 data_time: 0.0286 memory: 25127 loss_text: 0.0434 loss_kernel: 0.0261 loss: 0.0696 2022/08/26 02:59:34 - mmengine - INFO - Epoch(train) [119][25/63] lr: 1.0000e-04 eta: 18:22:40 time: 0.9206 data_time: 0.0416 memory: 25127 loss_text: 0.0423 loss_kernel: 0.0254 loss: 0.0677 2022/08/26 02:59:38 - mmengine - INFO - Epoch(train) [119][30/63] lr: 1.0000e-04 eta: 18:21:24 time: 0.8304 data_time: 0.0260 memory: 25127 loss_text: 0.0450 loss_kernel: 0.0273 loss: 0.0723 2022/08/26 02:59:42 - mmengine - INFO - Epoch(train) [119][35/63] lr: 1.0000e-04 eta: 18:21:24 time: 0.8405 data_time: 0.0315 memory: 25127 loss_text: 0.0492 loss_kernel: 0.0304 loss: 0.0796 2022/08/26 02:59:46 - mmengine - INFO - Epoch(train) [119][40/63] lr: 1.0000e-04 eta: 18:20:07 time: 0.8354 data_time: 0.0298 memory: 25127 loss_text: 0.0492 loss_kernel: 0.0302 loss: 0.0793 2022/08/26 02:59:50 - mmengine - INFO - Epoch(train) [119][45/63] lr: 1.0000e-04 eta: 18:20:07 time: 0.8311 data_time: 0.0223 memory: 25127 loss_text: 0.0494 loss_kernel: 0.0295 loss: 0.0790 2022/08/26 02:59:55 - mmengine - INFO - Epoch(train) [119][50/63] lr: 1.0000e-04 eta: 18:18:53 time: 0.8845 data_time: 0.0362 memory: 25127 loss_text: 0.0479 loss_kernel: 0.0283 loss: 0.0762 2022/08/26 02:59:59 - mmengine - INFO - Epoch(train) [119][55/63] lr: 1.0000e-04 eta: 18:18:53 time: 0.9105 data_time: 0.0337 memory: 25127 loss_text: 0.0392 loss_kernel: 0.0253 loss: 0.0645 2022/08/26 03:00:04 - mmengine - INFO - Epoch(train) [119][60/63] lr: 1.0000e-04 eta: 18:17:38 time: 0.8608 data_time: 0.0211 memory: 25127 loss_text: 0.0364 loss_kernel: 0.0240 loss: 0.0604 2022/08/26 03:00:06 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:01:33 - mmengine - INFO - Epoch(train) [120][5/63] lr: 1.0000e-04 eta: 18:17:38 time: 9.1049 data_time: 8.2884 memory: 25127 loss_text: 0.0409 loss_kernel: 0.0256 loss: 0.0666 2022/08/26 03:01:38 - mmengine - INFO - Epoch(train) [120][10/63] lr: 1.0000e-04 eta: 18:21:25 time: 9.1515 data_time: 8.3150 memory: 25127 loss_text: 0.0430 loss_kernel: 0.0276 loss: 0.0705 2022/08/26 03:01:42 - mmengine - INFO - Epoch(train) [120][15/63] lr: 1.0000e-04 eta: 18:21:25 time: 0.8809 data_time: 0.0384 memory: 25127 loss_text: 0.0454 loss_kernel: 0.0285 loss: 0.0739 2022/08/26 03:01:46 - mmengine - INFO - Epoch(train) [120][20/63] lr: 1.0000e-04 eta: 18:20:11 time: 0.8740 data_time: 0.0256 memory: 25127 loss_text: 0.0408 loss_kernel: 0.0256 loss: 0.0664 2022/08/26 03:01:51 - mmengine - INFO - Epoch(train) [120][25/63] lr: 1.0000e-04 eta: 18:20:11 time: 0.8614 data_time: 0.0349 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0252 loss: 0.0659 2022/08/26 03:01:55 - mmengine - INFO - Epoch(train) [120][30/63] lr: 1.0000e-04 eta: 18:18:57 time: 0.8910 data_time: 0.0308 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0255 loss: 0.0662 2022/08/26 03:01:59 - mmengine - INFO - Epoch(train) [120][35/63] lr: 1.0000e-04 eta: 18:18:57 time: 0.8760 data_time: 0.0308 memory: 25127 loss_text: 0.0410 loss_kernel: 0.0257 loss: 0.0667 2022/08/26 03:02:04 - mmengine - INFO - Epoch(train) [120][40/63] lr: 1.0000e-04 eta: 18:17:42 time: 0.8434 data_time: 0.0260 memory: 25127 loss_text: 0.0398 loss_kernel: 0.0265 loss: 0.0663 2022/08/26 03:02:08 - mmengine - INFO - Epoch(train) [120][45/63] lr: 1.0000e-04 eta: 18:17:42 time: 0.8391 data_time: 0.0259 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0259 loss: 0.0619 2022/08/26 03:02:12 - mmengine - INFO - Epoch(train) [120][50/63] lr: 1.0000e-04 eta: 18:16:26 time: 0.8333 data_time: 0.0322 memory: 25127 loss_text: 0.0357 loss_kernel: 0.0255 loss: 0.0612 2022/08/26 03:02:16 - mmengine - INFO - Epoch(train) [120][55/63] lr: 1.0000e-04 eta: 18:16:26 time: 0.8597 data_time: 0.0261 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0265 loss: 0.0631 2022/08/26 03:02:21 - mmengine - INFO - Epoch(train) [120][60/63] lr: 1.0000e-04 eta: 18:15:12 time: 0.8667 data_time: 0.0205 memory: 25127 loss_text: 0.0448 loss_kernel: 0.0288 loss: 0.0735 2022/08/26 03:02:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:02:23 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/26 03:02:52 - mmengine - INFO - Epoch(val) [120][5/500] eta: 18:15:12 time: 2.3675 data_time: 2.3119 memory: 25127 2022/08/26 03:02:52 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:19:25 time: 2.3787 data_time: 2.3124 memory: 2076 2022/08/26 03:02:52 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:19:25 time: 0.0555 data_time: 0.0023 memory: 2001 2022/08/26 03:02:53 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:00:22 time: 0.0461 data_time: 0.0018 memory: 1700 2022/08/26 03:02:53 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:00:22 time: 0.0396 data_time: 0.0017 memory: 1700 2022/08/26 03:02:53 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:00:17 time: 0.0374 data_time: 0.0017 memory: 1700 2022/08/26 03:02:53 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:00:17 time: 0.0412 data_time: 0.0017 memory: 1700 2022/08/26 03:02:54 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:19 time: 0.0428 data_time: 0.0017 memory: 1737 2022/08/26 03:02:54 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:19 time: 0.0390 data_time: 0.0017 memory: 2076 2022/08/26 03:02:54 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:17 time: 0.0399 data_time: 0.0017 memory: 1813 2022/08/26 03:02:54 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:17 time: 0.0408 data_time: 0.0017 memory: 1775 2022/08/26 03:02:54 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:00:18 time: 0.0417 data_time: 0.0017 memory: 1700 2022/08/26 03:02:55 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:00:18 time: 0.0461 data_time: 0.0017 memory: 1813 2022/08/26 03:02:55 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:00:18 time: 0.0441 data_time: 0.0017 memory: 2076 2022/08/26 03:02:55 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:00:18 time: 0.0429 data_time: 0.0017 memory: 1813 2022/08/26 03:02:55 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:00:17 time: 0.0418 data_time: 0.0016 memory: 1700 2022/08/26 03:02:55 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:00:17 time: 0.0396 data_time: 0.0016 memory: 1700 2022/08/26 03:02:56 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:00:17 time: 0.0420 data_time: 0.0016 memory: 2076 2022/08/26 03:02:56 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:00:17 time: 0.0403 data_time: 0.0016 memory: 1737 2022/08/26 03:02:56 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:00:15 time: 0.0389 data_time: 0.0017 memory: 2076 2022/08/26 03:02:56 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:00:15 time: 0.0391 data_time: 0.0017 memory: 1700 2022/08/26 03:02:56 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:00:16 time: 0.0417 data_time: 0.0018 memory: 2076 2022/08/26 03:02:57 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:00:16 time: 0.0443 data_time: 0.0018 memory: 1700 2022/08/26 03:02:57 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:18 time: 0.0478 data_time: 0.0018 memory: 1700 2022/08/26 03:02:57 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:18 time: 0.0528 data_time: 0.0018 memory: 2076 2022/08/26 03:02:57 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:00:16 time: 0.0448 data_time: 0.0017 memory: 1700 2022/08/26 03:02:58 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:00:16 time: 0.0399 data_time: 0.0016 memory: 1850 2022/08/26 03:02:58 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:15 time: 0.0430 data_time: 0.0016 memory: 1700 2022/08/26 03:02:58 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:15 time: 0.0392 data_time: 0.0016 memory: 2039 2022/08/26 03:02:58 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:13 time: 0.0372 data_time: 0.0017 memory: 1700 2022/08/26 03:02:58 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:13 time: 0.0399 data_time: 0.0017 memory: 1963 2022/08/26 03:02:59 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:14 time: 0.0439 data_time: 0.0018 memory: 2076 2022/08/26 03:02:59 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:14 time: 0.0434 data_time: 0.0018 memory: 1775 2022/08/26 03:02:59 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:15 time: 0.0455 data_time: 0.0018 memory: 1963 2022/08/26 03:02:59 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:15 time: 0.0438 data_time: 0.0018 memory: 2076 2022/08/26 03:02:59 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:12 time: 0.0387 data_time: 0.0017 memory: 2076 2022/08/26 03:03:00 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:12 time: 0.0409 data_time: 0.0017 memory: 1700 2022/08/26 03:03:00 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:12 time: 0.0414 data_time: 0.0017 memory: 1813 2022/08/26 03:03:00 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:12 time: 0.0377 data_time: 0.0017 memory: 1775 2022/08/26 03:03:00 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:00:10 time: 0.0364 data_time: 0.0017 memory: 1775 2022/08/26 03:03:00 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:00:10 time: 0.0376 data_time: 0.0017 memory: 1700 2022/08/26 03:03:01 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:00:11 time: 0.0406 data_time: 0.0017 memory: 2076 2022/08/26 03:03:01 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:00:11 time: 0.0406 data_time: 0.0017 memory: 1700 2022/08/26 03:03:01 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:10 time: 0.0368 data_time: 0.0017 memory: 1850 2022/08/26 03:03:01 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:10 time: 0.0392 data_time: 0.0017 memory: 2076 2022/08/26 03:03:02 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:16 time: 0.0599 data_time: 0.0044 memory: 1700 2022/08/26 03:03:02 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:16 time: 0.1029 data_time: 0.0120 memory: 2076 2022/08/26 03:03:02 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:22 time: 0.0864 data_time: 0.0094 memory: 2076 2022/08/26 03:03:03 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:22 time: 0.0429 data_time: 0.0017 memory: 2076 2022/08/26 03:03:03 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:10 time: 0.0404 data_time: 0.0018 memory: 1700 2022/08/26 03:03:03 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:10 time: 0.0673 data_time: 0.0018 memory: 1737 2022/08/26 03:03:03 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:15 time: 0.0653 data_time: 0.0020 memory: 1700 2022/08/26 03:03:04 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:15 time: 0.0411 data_time: 0.0019 memory: 2001 2022/08/26 03:03:04 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:10 time: 0.0441 data_time: 0.0017 memory: 1926 2022/08/26 03:03:04 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:10 time: 0.0449 data_time: 0.0016 memory: 2076 2022/08/26 03:03:04 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:09 time: 0.0414 data_time: 0.0016 memory: 2001 2022/08/26 03:03:05 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:09 time: 0.0396 data_time: 0.0016 memory: 1700 2022/08/26 03:03:05 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:00:09 time: 0.0475 data_time: 0.0017 memory: 2076 2022/08/26 03:03:06 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:00:09 time: 0.0991 data_time: 0.0184 memory: 1813 2022/08/26 03:03:06 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:25 time: 0.1253 data_time: 0.0499 memory: 1737 2022/08/26 03:03:06 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:25 time: 0.0672 data_time: 0.0331 memory: 1700 2022/08/26 03:03:06 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:06 time: 0.0338 data_time: 0.0016 memory: 1775 2022/08/26 03:03:07 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:06 time: 0.0402 data_time: 0.0017 memory: 2001 2022/08/26 03:03:07 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:08 time: 0.0446 data_time: 0.0017 memory: 2001 2022/08/26 03:03:07 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:08 time: 0.0430 data_time: 0.0017 memory: 2076 2022/08/26 03:03:07 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:07 time: 0.0413 data_time: 0.0018 memory: 1737 2022/08/26 03:03:08 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:07 time: 0.0454 data_time: 0.0018 memory: 1926 2022/08/26 03:03:08 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:07 time: 0.0448 data_time: 0.0017 memory: 2039 2022/08/26 03:03:08 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:07 time: 0.0373 data_time: 0.0017 memory: 1926 2022/08/26 03:03:08 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:06 time: 0.0420 data_time: 0.0015 memory: 1700 2022/08/26 03:03:08 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:06 time: 0.0559 data_time: 0.0015 memory: 2039 2022/08/26 03:03:09 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:06 time: 0.0473 data_time: 0.0015 memory: 1737 2022/08/26 03:03:09 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:06 time: 0.0346 data_time: 0.0014 memory: 1588 2022/08/26 03:03:09 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:04 time: 0.0345 data_time: 0.0014 memory: 1813 2022/08/26 03:03:09 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:04 time: 0.0308 data_time: 0.0014 memory: 1700 2022/08/26 03:03:09 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:04 time: 0.0354 data_time: 0.0014 memory: 2039 2022/08/26 03:03:10 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:04 time: 0.0403 data_time: 0.0014 memory: 2039 2022/08/26 03:03:10 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:04 time: 0.0439 data_time: 0.0015 memory: 2076 2022/08/26 03:03:10 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:04 time: 0.0603 data_time: 0.0017 memory: 1700 2022/08/26 03:03:10 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:05 time: 0.0591 data_time: 0.0019 memory: 2039 2022/08/26 03:03:11 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:05 time: 0.0419 data_time: 0.0018 memory: 2039 2022/08/26 03:03:11 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:03 time: 0.0407 data_time: 0.0020 memory: 1813 2022/08/26 03:03:11 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:03 time: 0.0456 data_time: 0.0021 memory: 1700 2022/08/26 03:03:11 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:04 time: 0.0505 data_time: 0.0020 memory: 2001 2022/08/26 03:03:12 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:04 time: 0.0508 data_time: 0.0019 memory: 1700 2022/08/26 03:03:12 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:03 time: 0.0449 data_time: 0.0018 memory: 2076 2022/08/26 03:03:12 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:03 time: 0.0419 data_time: 0.0018 memory: 1700 2022/08/26 03:03:12 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:02 time: 0.0407 data_time: 0.0017 memory: 1850 2022/08/26 03:03:12 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:02 time: 0.0406 data_time: 0.0017 memory: 2001 2022/08/26 03:03:13 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:02 time: 0.0413 data_time: 0.0017 memory: 1700 2022/08/26 03:03:13 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:02 time: 0.0411 data_time: 0.0017 memory: 2076 2022/08/26 03:03:13 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:01 time: 0.0409 data_time: 0.0017 memory: 1775 2022/08/26 03:03:13 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:01 time: 0.0393 data_time: 0.0017 memory: 1963 2022/08/26 03:03:13 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:01 time: 0.0370 data_time: 0.0017 memory: 1775 2022/08/26 03:03:14 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:01 time: 0.0444 data_time: 0.0018 memory: 2076 2022/08/26 03:03:14 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:01 time: 0.0508 data_time: 0.0021 memory: 2039 2022/08/26 03:03:14 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:01 time: 0.0417 data_time: 0.0019 memory: 1700 2022/08/26 03:03:14 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:00 time: 0.0341 data_time: 0.0015 memory: 1963 2022/08/26 03:03:14 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:00 time: 0.0410 data_time: 0.0016 memory: 2076 2022/08/26 03:03:15 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.0429 data_time: 0.0015 memory: 1737 2022/08/26 03:03:15 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 03:03:15 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7707, precision: 0.5258, hmean: 0.6252 2022/08/26 03:03:15 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7707, precision: 0.5258, hmean: 0.6252 2022/08/26 03:03:15 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7707, precision: 0.5258, hmean: 0.6252 2022/08/26 03:03:15 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7707, precision: 0.5644, hmean: 0.6516 2022/08/26 03:03:15 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7704, precision: 0.6462, hmean: 0.7029 2022/08/26 03:03:15 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7652, precision: 0.7294, hmean: 0.7469 2022/08/26 03:03:15 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7288, precision: 0.8209, hmean: 0.7721 2022/08/26 03:03:15 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.8209 icdar/recall: 0.7288 icdar/hmean: 0.7721 2022/08/26 03:04:42 - mmengine - INFO - Epoch(train) [121][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 9.1458 data_time: 8.3447 memory: 25127 loss_text: 0.0362 loss_kernel: 0.0238 loss: 0.0600 2022/08/26 03:04:47 - mmengine - INFO - Epoch(train) [121][10/63] lr: 1.0000e-04 eta: 18:18:59 time: 9.2122 data_time: 8.3807 memory: 25127 loss_text: 0.0359 loss_kernel: 0.0236 loss: 0.0595 2022/08/26 03:04:52 - mmengine - INFO - Epoch(train) [121][15/63] lr: 1.0000e-04 eta: 18:18:59 time: 0.9178 data_time: 0.0481 memory: 25127 loss_text: 0.0455 loss_kernel: 0.0286 loss: 0.0741 2022/08/26 03:04:56 - mmengine - INFO - Epoch(train) [121][20/63] lr: 1.0000e-04 eta: 18:17:46 time: 0.8994 data_time: 0.0225 memory: 25127 loss_text: 0.0467 loss_kernel: 0.0296 loss: 0.0763 2022/08/26 03:05:00 - mmengine - INFO - Epoch(train) [121][25/63] lr: 1.0000e-04 eta: 18:17:46 time: 0.8524 data_time: 0.0360 memory: 25127 loss_text: 0.0385 loss_kernel: 0.0244 loss: 0.0629 2022/08/26 03:05:05 - mmengine - INFO - Epoch(train) [121][30/63] lr: 1.0000e-04 eta: 18:16:32 time: 0.8748 data_time: 0.0273 memory: 25127 loss_text: 0.0381 loss_kernel: 0.0238 loss: 0.0618 2022/08/26 03:05:09 - mmengine - INFO - Epoch(train) [121][35/63] lr: 1.0000e-04 eta: 18:16:32 time: 0.8916 data_time: 0.0302 memory: 25127 loss_text: 0.0382 loss_kernel: 0.0239 loss: 0.0620 2022/08/26 03:05:13 - mmengine - INFO - Epoch(train) [121][40/63] lr: 1.0000e-04 eta: 18:15:19 time: 0.8678 data_time: 0.0298 memory: 25127 loss_text: 0.0394 loss_kernel: 0.0256 loss: 0.0650 2022/08/26 03:05:18 - mmengine - INFO - Epoch(train) [121][45/63] lr: 1.0000e-04 eta: 18:15:19 time: 0.8505 data_time: 0.0242 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0267 loss: 0.0681 2022/08/26 03:05:22 - mmengine - INFO - Epoch(train) [121][50/63] lr: 1.0000e-04 eta: 18:14:04 time: 0.8524 data_time: 0.0308 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0246 loss: 0.0629 2022/08/26 03:05:26 - mmengine - INFO - Epoch(train) [121][55/63] lr: 1.0000e-04 eta: 18:14:04 time: 0.8643 data_time: 0.0231 memory: 25127 loss_text: 0.0358 loss_kernel: 0.0242 loss: 0.0600 2022/08/26 03:05:30 - mmengine - INFO - Epoch(train) [121][60/63] lr: 1.0000e-04 eta: 18:12:50 time: 0.8440 data_time: 0.0263 memory: 25127 loss_text: 0.0388 loss_kernel: 0.0256 loss: 0.0644 2022/08/26 03:05:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:07:01 - mmengine - INFO - Epoch(train) [122][5/63] lr: 1.0000e-04 eta: 18:12:50 time: 9.1614 data_time: 8.4003 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0239 loss: 0.0584 2022/08/26 03:07:05 - mmengine - INFO - Epoch(train) [122][10/63] lr: 1.0000e-04 eta: 18:16:34 time: 9.2123 data_time: 8.4175 memory: 25127 loss_text: 0.0317 loss_kernel: 0.0222 loss: 0.0539 2022/08/26 03:07:09 - mmengine - INFO - Epoch(train) [122][15/63] lr: 1.0000e-04 eta: 18:16:34 time: 0.8178 data_time: 0.0351 memory: 25127 loss_text: 0.0457 loss_kernel: 0.0285 loss: 0.0742 2022/08/26 03:07:13 - mmengine - INFO - Epoch(train) [122][20/63] lr: 1.0000e-04 eta: 18:15:20 time: 0.8521 data_time: 0.0345 memory: 25127 loss_text: 0.0465 loss_kernel: 0.0280 loss: 0.0745 2022/08/26 03:07:18 - mmengine - INFO - Epoch(train) [122][25/63] lr: 1.0000e-04 eta: 18:15:20 time: 0.9241 data_time: 0.0387 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0222 loss: 0.0562 2022/08/26 03:07:22 - mmengine - INFO - Epoch(train) [122][30/63] lr: 1.0000e-04 eta: 18:14:08 time: 0.9013 data_time: 0.0254 memory: 25127 loss_text: 0.0358 loss_kernel: 0.0237 loss: 0.0595 2022/08/26 03:07:27 - mmengine - INFO - Epoch(train) [122][35/63] lr: 1.0000e-04 eta: 18:14:08 time: 0.8639 data_time: 0.0244 memory: 25127 loss_text: 0.0356 loss_kernel: 0.0247 loss: 0.0602 2022/08/26 03:07:31 - mmengine - INFO - Epoch(train) [122][40/63] lr: 1.0000e-04 eta: 18:12:55 time: 0.8711 data_time: 0.0308 memory: 25127 loss_text: 0.0394 loss_kernel: 0.0272 loss: 0.0666 2022/08/26 03:07:36 - mmengine - INFO - Epoch(train) [122][45/63] lr: 1.0000e-04 eta: 18:12:55 time: 0.8891 data_time: 0.0377 memory: 25127 loss_text: 0.0404 loss_kernel: 0.0268 loss: 0.0672 2022/08/26 03:07:40 - mmengine - INFO - Epoch(train) [122][50/63] lr: 1.0000e-04 eta: 18:11:42 time: 0.8862 data_time: 0.0383 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0249 loss: 0.0620 2022/08/26 03:07:44 - mmengine - INFO - Epoch(train) [122][55/63] lr: 1.0000e-04 eta: 18:11:42 time: 0.8695 data_time: 0.0266 memory: 25127 loss_text: 0.0356 loss_kernel: 0.0237 loss: 0.0593 2022/08/26 03:07:49 - mmengine - INFO - Epoch(train) [122][60/63] lr: 1.0000e-04 eta: 18:10:30 time: 0.8766 data_time: 0.0248 memory: 25127 loss_text: 0.0507 loss_kernel: 0.0294 loss: 0.0801 2022/08/26 03:07:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:09:18 - mmengine - INFO - Epoch(train) [123][5/63] lr: 1.0000e-04 eta: 18:10:30 time: 9.0520 data_time: 8.2516 memory: 25127 loss_text: 0.0447 loss_kernel: 0.0270 loss: 0.0716 2022/08/26 03:09:22 - mmengine - INFO - Epoch(train) [123][10/63] lr: 1.0000e-04 eta: 18:14:08 time: 9.1287 data_time: 8.2768 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0214 loss: 0.0538 2022/08/26 03:09:26 - mmengine - INFO - Epoch(train) [123][15/63] lr: 1.0000e-04 eta: 18:14:08 time: 0.8823 data_time: 0.0359 memory: 25127 loss_text: 0.0327 loss_kernel: 0.0227 loss: 0.0554 2022/08/26 03:09:31 - mmengine - INFO - Epoch(train) [123][20/63] lr: 1.0000e-04 eta: 18:12:55 time: 0.8666 data_time: 0.0211 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0244 loss: 0.0598 2022/08/26 03:09:35 - mmengine - INFO - Epoch(train) [123][25/63] lr: 1.0000e-04 eta: 18:12:55 time: 0.8487 data_time: 0.0398 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0232 loss: 0.0580 2022/08/26 03:09:39 - mmengine - INFO - Epoch(train) [123][30/63] lr: 1.0000e-04 eta: 18:11:41 time: 0.8574 data_time: 0.0311 memory: 25127 loss_text: 0.0379 loss_kernel: 0.0240 loss: 0.0619 2022/08/26 03:09:43 - mmengine - INFO - Epoch(train) [123][35/63] lr: 1.0000e-04 eta: 18:11:41 time: 0.8312 data_time: 0.0201 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0256 loss: 0.0670 2022/08/26 03:09:48 - mmengine - INFO - Epoch(train) [123][40/63] lr: 1.0000e-04 eta: 18:10:28 time: 0.8401 data_time: 0.0458 memory: 25127 loss_text: 0.0439 loss_kernel: 0.0269 loss: 0.0707 2022/08/26 03:09:52 - mmengine - INFO - Epoch(train) [123][45/63] lr: 1.0000e-04 eta: 18:10:28 time: 0.8585 data_time: 0.0473 memory: 25127 loss_text: 0.0458 loss_kernel: 0.0276 loss: 0.0734 2022/08/26 03:09:56 - mmengine - INFO - Epoch(train) [123][50/63] lr: 1.0000e-04 eta: 18:09:13 time: 0.8211 data_time: 0.0240 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0236 loss: 0.0631 2022/08/26 03:10:00 - mmengine - INFO - Epoch(train) [123][55/63] lr: 1.0000e-04 eta: 18:09:13 time: 0.7974 data_time: 0.0244 memory: 25127 loss_text: 0.0356 loss_kernel: 0.0230 loss: 0.0585 2022/08/26 03:10:04 - mmengine - INFO - Epoch(train) [123][60/63] lr: 1.0000e-04 eta: 18:07:58 time: 0.7988 data_time: 0.0248 memory: 25127 loss_text: 0.0401 loss_kernel: 0.0257 loss: 0.0658 2022/08/26 03:10:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:11:35 - mmengine - INFO - Epoch(train) [124][5/63] lr: 1.0000e-04 eta: 18:07:58 time: 9.2188 data_time: 8.3542 memory: 25127 loss_text: 0.0328 loss_kernel: 0.0232 loss: 0.0559 2022/08/26 03:11:39 - mmengine - INFO - Epoch(train) [124][10/63] lr: 1.0000e-04 eta: 18:11:37 time: 9.2074 data_time: 8.3781 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0243 loss: 0.0587 2022/08/26 03:11:44 - mmengine - INFO - Epoch(train) [124][15/63] lr: 1.0000e-04 eta: 18:11:37 time: 0.9031 data_time: 0.0404 memory: 25127 loss_text: 0.0470 loss_kernel: 0.0282 loss: 0.0752 2022/08/26 03:11:48 - mmengine - INFO - Epoch(train) [124][20/63] lr: 1.0000e-04 eta: 18:10:25 time: 0.8688 data_time: 0.0221 memory: 25127 loss_text: 0.0502 loss_kernel: 0.0289 loss: 0.0791 2022/08/26 03:11:52 - mmengine - INFO - Epoch(train) [124][25/63] lr: 1.0000e-04 eta: 18:10:25 time: 0.8463 data_time: 0.0358 memory: 25127 loss_text: 0.0426 loss_kernel: 0.0263 loss: 0.0689 2022/08/26 03:11:56 - mmengine - INFO - Epoch(train) [124][30/63] lr: 1.0000e-04 eta: 18:09:12 time: 0.8681 data_time: 0.0321 memory: 25127 loss_text: 0.0480 loss_kernel: 0.0289 loss: 0.0768 2022/08/26 03:12:01 - mmengine - INFO - Epoch(train) [124][35/63] lr: 1.0000e-04 eta: 18:09:12 time: 0.8617 data_time: 0.0248 memory: 25127 loss_text: 0.0436 loss_kernel: 0.0272 loss: 0.0708 2022/08/26 03:12:05 - mmengine - INFO - Epoch(train) [124][40/63] lr: 1.0000e-04 eta: 18:08:00 time: 0.8772 data_time: 0.0281 memory: 25127 loss_text: 0.0336 loss_kernel: 0.0232 loss: 0.0568 2022/08/26 03:12:09 - mmengine - INFO - Epoch(train) [124][45/63] lr: 1.0000e-04 eta: 18:08:00 time: 0.8817 data_time: 0.0271 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0242 loss: 0.0635 2022/08/26 03:12:14 - mmengine - INFO - Epoch(train) [124][50/63] lr: 1.0000e-04 eta: 18:06:48 time: 0.8505 data_time: 0.0326 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0236 loss: 0.0620 2022/08/26 03:12:18 - mmengine - INFO - Epoch(train) [124][55/63] lr: 1.0000e-04 eta: 18:06:48 time: 0.8427 data_time: 0.0314 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0216 loss: 0.0538 2022/08/26 03:12:22 - mmengine - INFO - Epoch(train) [124][60/63] lr: 1.0000e-04 eta: 18:05:36 time: 0.8734 data_time: 0.0310 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0225 loss: 0.0543 2022/08/26 03:12:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:13:51 - mmengine - INFO - Epoch(train) [125][5/63] lr: 1.0000e-04 eta: 18:05:36 time: 9.0509 data_time: 8.2548 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0214 loss: 0.0530 2022/08/26 03:13:56 - mmengine - INFO - Epoch(train) [125][10/63] lr: 1.0000e-04 eta: 18:09:09 time: 9.1232 data_time: 8.2923 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0208 loss: 0.0525 2022/08/26 03:14:00 - mmengine - INFO - Epoch(train) [125][15/63] lr: 1.0000e-04 eta: 18:09:09 time: 0.9049 data_time: 0.0791 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0222 loss: 0.0529 2022/08/26 03:14:05 - mmengine - INFO - Epoch(train) [125][20/63] lr: 1.0000e-04 eta: 18:07:58 time: 0.8851 data_time: 0.0513 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0236 loss: 0.0577 2022/08/26 03:14:09 - mmengine - INFO - Epoch(train) [125][25/63] lr: 1.0000e-04 eta: 18:07:58 time: 0.8439 data_time: 0.0242 memory: 25127 loss_text: 0.0440 loss_kernel: 0.0264 loss: 0.0704 2022/08/26 03:14:13 - mmengine - INFO - Epoch(train) [125][30/63] lr: 1.0000e-04 eta: 18:06:45 time: 0.8492 data_time: 0.0244 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0260 loss: 0.0687 2022/08/26 03:14:18 - mmengine - INFO - Epoch(train) [125][35/63] lr: 1.0000e-04 eta: 18:06:45 time: 0.8874 data_time: 0.0317 memory: 25127 loss_text: 0.0408 loss_kernel: 0.0250 loss: 0.0658 2022/08/26 03:14:22 - mmengine - INFO - Epoch(train) [125][40/63] lr: 1.0000e-04 eta: 18:05:35 time: 0.9030 data_time: 0.0252 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0258 loss: 0.0680 2022/08/26 03:14:26 - mmengine - INFO - Epoch(train) [125][45/63] lr: 1.0000e-04 eta: 18:05:35 time: 0.8768 data_time: 0.0249 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0246 loss: 0.0641 2022/08/26 03:14:31 - mmengine - INFO - Epoch(train) [125][50/63] lr: 1.0000e-04 eta: 18:04:23 time: 0.8535 data_time: 0.0287 memory: 25127 loss_text: 0.0472 loss_kernel: 0.0269 loss: 0.0741 2022/08/26 03:14:35 - mmengine - INFO - Epoch(train) [125][55/63] lr: 1.0000e-04 eta: 18:04:23 time: 0.8711 data_time: 0.0288 memory: 25127 loss_text: 0.0521 loss_kernel: 0.0298 loss: 0.0819 2022/08/26 03:14:40 - mmengine - INFO - Epoch(train) [125][60/63] lr: 1.0000e-04 eta: 18:03:12 time: 0.8818 data_time: 0.0293 memory: 25127 loss_text: 0.0456 loss_kernel: 0.0281 loss: 0.0737 2022/08/26 03:14:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:16:10 - mmengine - INFO - Epoch(train) [126][5/63] lr: 1.0000e-04 eta: 18:03:12 time: 9.2312 data_time: 8.4298 memory: 25127 loss_text: 0.0494 loss_kernel: 0.0297 loss: 0.0791 2022/08/26 03:16:14 - mmengine - INFO - Epoch(train) [126][10/63] lr: 1.0000e-04 eta: 18:06:48 time: 9.2589 data_time: 8.4498 memory: 25127 loss_text: 0.0404 loss_kernel: 0.0251 loss: 0.0655 2022/08/26 03:16:19 - mmengine - INFO - Epoch(train) [126][15/63] lr: 1.0000e-04 eta: 18:06:48 time: 0.8689 data_time: 0.0320 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0262 loss: 0.0676 2022/08/26 03:16:23 - mmengine - INFO - Epoch(train) [126][20/63] lr: 1.0000e-04 eta: 18:05:38 time: 0.8981 data_time: 0.0289 memory: 25127 loss_text: 0.0434 loss_kernel: 0.0264 loss: 0.0698 2022/08/26 03:16:28 - mmengine - INFO - Epoch(train) [126][25/63] lr: 1.0000e-04 eta: 18:05:38 time: 0.8687 data_time: 0.0352 memory: 25127 loss_text: 0.0472 loss_kernel: 0.0278 loss: 0.0750 2022/08/26 03:16:32 - mmengine - INFO - Epoch(train) [126][30/63] lr: 1.0000e-04 eta: 18:04:24 time: 0.8169 data_time: 0.0246 memory: 25127 loss_text: 0.0516 loss_kernel: 0.0310 loss: 0.0826 2022/08/26 03:16:36 - mmengine - INFO - Epoch(train) [126][35/63] lr: 1.0000e-04 eta: 18:04:24 time: 0.8211 data_time: 0.0322 memory: 25127 loss_text: 0.0442 loss_kernel: 0.0278 loss: 0.0720 2022/08/26 03:16:41 - mmengine - INFO - Epoch(train) [126][40/63] lr: 1.0000e-04 eta: 18:03:14 time: 0.8998 data_time: 0.0273 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0265 loss: 0.0678 2022/08/26 03:16:45 - mmengine - INFO - Epoch(train) [126][45/63] lr: 1.0000e-04 eta: 18:03:14 time: 0.8946 data_time: 0.0254 memory: 25127 loss_text: 0.0460 loss_kernel: 0.0291 loss: 0.0751 2022/08/26 03:16:50 - mmengine - INFO - Epoch(train) [126][50/63] lr: 1.0000e-04 eta: 18:02:06 time: 0.9275 data_time: 0.0486 memory: 25127 loss_text: 0.0467 loss_kernel: 0.0288 loss: 0.0755 2022/08/26 03:16:54 - mmengine - INFO - Epoch(train) [126][55/63] lr: 1.0000e-04 eta: 18:02:06 time: 0.9535 data_time: 0.0382 memory: 25127 loss_text: 0.0452 loss_kernel: 0.0275 loss: 0.0727 2022/08/26 03:16:58 - mmengine - INFO - Epoch(train) [126][60/63] lr: 1.0000e-04 eta: 18:00:54 time: 0.8482 data_time: 0.0186 memory: 25127 loss_text: 0.0421 loss_kernel: 0.0265 loss: 0.0686 2022/08/26 03:17:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:18:28 - mmengine - INFO - Epoch(train) [127][5/63] lr: 1.0000e-04 eta: 18:00:54 time: 9.0823 data_time: 8.3011 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0276 loss: 0.0703 2022/08/26 03:18:32 - mmengine - INFO - Epoch(train) [127][10/63] lr: 1.0000e-04 eta: 18:04:24 time: 9.1619 data_time: 8.3210 memory: 25127 loss_text: 0.0486 loss_kernel: 0.0297 loss: 0.0783 2022/08/26 03:18:37 - mmengine - INFO - Epoch(train) [127][15/63] lr: 1.0000e-04 eta: 18:04:24 time: 0.9000 data_time: 0.0342 memory: 25127 loss_text: 0.0469 loss_kernel: 0.0288 loss: 0.0757 2022/08/26 03:18:41 - mmengine - INFO - Epoch(train) [127][20/63] lr: 1.0000e-04 eta: 18:03:14 time: 0.8998 data_time: 0.0266 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0271 loss: 0.0683 2022/08/26 03:18:46 - mmengine - INFO - Epoch(train) [127][25/63] lr: 1.0000e-04 eta: 18:03:14 time: 0.8696 data_time: 0.0407 memory: 25127 loss_text: 0.0433 loss_kernel: 0.0275 loss: 0.0708 2022/08/26 03:18:50 - mmengine - INFO - Epoch(train) [127][30/63] lr: 1.0000e-04 eta: 18:02:03 time: 0.8603 data_time: 0.0357 memory: 25127 loss_text: 0.0443 loss_kernel: 0.0268 loss: 0.0711 2022/08/26 03:18:54 - mmengine - INFO - Epoch(train) [127][35/63] lr: 1.0000e-04 eta: 18:02:03 time: 0.8549 data_time: 0.0233 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0223 loss: 0.0584 2022/08/26 03:18:58 - mmengine - INFO - Epoch(train) [127][40/63] lr: 1.0000e-04 eta: 18:00:52 time: 0.8483 data_time: 0.0268 memory: 25127 loss_text: 0.0357 loss_kernel: 0.0228 loss: 0.0586 2022/08/26 03:19:03 - mmengine - INFO - Epoch(train) [127][45/63] lr: 1.0000e-04 eta: 18:00:52 time: 0.8667 data_time: 0.0352 memory: 25127 loss_text: 0.0372 loss_kernel: 0.0236 loss: 0.0608 2022/08/26 03:19:07 - mmengine - INFO - Epoch(train) [127][50/63] lr: 1.0000e-04 eta: 17:59:42 time: 0.8809 data_time: 0.0359 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0245 loss: 0.0657 2022/08/26 03:19:11 - mmengine - INFO - Epoch(train) [127][55/63] lr: 1.0000e-04 eta: 17:59:42 time: 0.8711 data_time: 0.0310 memory: 25127 loss_text: 0.0504 loss_kernel: 0.0281 loss: 0.0785 2022/08/26 03:19:16 - mmengine - INFO - Epoch(train) [127][60/63] lr: 1.0000e-04 eta: 17:58:31 time: 0.8591 data_time: 0.0238 memory: 25127 loss_text: 0.0486 loss_kernel: 0.0289 loss: 0.0774 2022/08/26 03:19:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:19:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:20:46 - mmengine - INFO - Epoch(train) [128][5/63] lr: 1.0000e-04 eta: 17:58:31 time: 9.1660 data_time: 8.3666 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0247 loss: 0.0620 2022/08/26 03:20:50 - mmengine - INFO - Epoch(train) [128][10/63] lr: 1.0000e-04 eta: 18:02:01 time: 9.2253 data_time: 8.3832 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0239 loss: 0.0613 2022/08/26 03:20:54 - mmengine - INFO - Epoch(train) [128][15/63] lr: 1.0000e-04 eta: 18:02:01 time: 0.8574 data_time: 0.0354 memory: 25127 loss_text: 0.0381 loss_kernel: 0.0233 loss: 0.0614 2022/08/26 03:20:59 - mmengine - INFO - Epoch(train) [128][20/63] lr: 1.0000e-04 eta: 18:00:50 time: 0.8582 data_time: 0.0341 memory: 25127 loss_text: 0.0363 loss_kernel: 0.0237 loss: 0.0600 2022/08/26 03:21:03 - mmengine - INFO - Epoch(train) [128][25/63] lr: 1.0000e-04 eta: 18:00:50 time: 0.8759 data_time: 0.0342 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0233 loss: 0.0587 2022/08/26 03:21:07 - mmengine - INFO - Epoch(train) [128][30/63] lr: 1.0000e-04 eta: 17:59:39 time: 0.8546 data_time: 0.0292 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0219 loss: 0.0550 2022/08/26 03:21:12 - mmengine - INFO - Epoch(train) [128][35/63] lr: 1.0000e-04 eta: 17:59:39 time: 0.8525 data_time: 0.0364 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0229 loss: 0.0558 2022/08/26 03:21:16 - mmengine - INFO - Epoch(train) [128][40/63] lr: 1.0000e-04 eta: 17:58:29 time: 0.8631 data_time: 0.0311 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0272 loss: 0.0699 2022/08/26 03:21:20 - mmengine - INFO - Epoch(train) [128][45/63] lr: 1.0000e-04 eta: 17:58:29 time: 0.8747 data_time: 0.0304 memory: 25127 loss_text: 0.0406 loss_kernel: 0.0261 loss: 0.0667 2022/08/26 03:21:25 - mmengine - INFO - Epoch(train) [128][50/63] lr: 1.0000e-04 eta: 17:57:19 time: 0.8874 data_time: 0.0362 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0245 loss: 0.0616 2022/08/26 03:21:29 - mmengine - INFO - Epoch(train) [128][55/63] lr: 1.0000e-04 eta: 17:57:19 time: 0.8571 data_time: 0.0297 memory: 25127 loss_text: 0.0388 loss_kernel: 0.0252 loss: 0.0640 2022/08/26 03:21:33 - mmengine - INFO - Epoch(train) [128][60/63] lr: 1.0000e-04 eta: 17:56:09 time: 0.8466 data_time: 0.0271 memory: 25127 loss_text: 0.0488 loss_kernel: 0.0291 loss: 0.0780 2022/08/26 03:21:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:23:03 - mmengine - INFO - Epoch(train) [129][5/63] lr: 1.0000e-04 eta: 17:56:09 time: 9.1286 data_time: 8.3321 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0262 loss: 0.0689 2022/08/26 03:23:07 - mmengine - INFO - Epoch(train) [129][10/63] lr: 1.0000e-04 eta: 17:59:35 time: 9.1962 data_time: 8.3532 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0240 loss: 0.0615 2022/08/26 03:23:12 - mmengine - INFO - Epoch(train) [129][15/63] lr: 1.0000e-04 eta: 17:59:35 time: 0.8705 data_time: 0.0504 memory: 25127 loss_text: 0.0410 loss_kernel: 0.0257 loss: 0.0668 2022/08/26 03:23:16 - mmengine - INFO - Epoch(train) [129][20/63] lr: 1.0000e-04 eta: 17:58:25 time: 0.8510 data_time: 0.0445 memory: 25127 loss_text: 0.0409 loss_kernel: 0.0258 loss: 0.0667 2022/08/26 03:23:21 - mmengine - INFO - Epoch(train) [129][25/63] lr: 1.0000e-04 eta: 17:58:25 time: 0.9758 data_time: 0.0322 memory: 25127 loss_text: 0.0379 loss_kernel: 0.0237 loss: 0.0616 2022/08/26 03:23:26 - mmengine - INFO - Epoch(train) [129][30/63] lr: 1.0000e-04 eta: 17:57:19 time: 0.9710 data_time: 0.0242 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0211 loss: 0.0533 2022/08/26 03:23:30 - mmengine - INFO - Epoch(train) [129][35/63] lr: 1.0000e-04 eta: 17:57:19 time: 0.8629 data_time: 0.0295 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0220 loss: 0.0543 2022/08/26 03:23:34 - mmengine - INFO - Epoch(train) [129][40/63] lr: 1.0000e-04 eta: 17:56:09 time: 0.8726 data_time: 0.0300 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0219 loss: 0.0533 2022/08/26 03:23:39 - mmengine - INFO - Epoch(train) [129][45/63] lr: 1.0000e-04 eta: 17:56:09 time: 0.8513 data_time: 0.0291 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0216 loss: 0.0530 2022/08/26 03:23:43 - mmengine - INFO - Epoch(train) [129][50/63] lr: 1.0000e-04 eta: 17:54:58 time: 0.8341 data_time: 0.0278 memory: 25127 loss_text: 0.0396 loss_kernel: 0.0263 loss: 0.0659 2022/08/26 03:23:47 - mmengine - INFO - Epoch(train) [129][55/63] lr: 1.0000e-04 eta: 17:54:58 time: 0.8701 data_time: 0.0286 memory: 25127 loss_text: 0.0399 loss_kernel: 0.0280 loss: 0.0679 2022/08/26 03:23:52 - mmengine - INFO - Epoch(train) [129][60/63] lr: 1.0000e-04 eta: 17:53:52 time: 0.9427 data_time: 0.0356 memory: 25127 loss_text: 0.0394 loss_kernel: 0.0265 loss: 0.0659 2022/08/26 03:23:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:25:23 - mmengine - INFO - Epoch(train) [130][5/63] lr: 1.0000e-04 eta: 17:53:52 time: 9.2848 data_time: 8.4742 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0248 loss: 0.0643 2022/08/26 03:25:28 - mmengine - INFO - Epoch(train) [130][10/63] lr: 1.0000e-04 eta: 17:57:22 time: 9.3711 data_time: 8.4988 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0239 loss: 0.0583 2022/08/26 03:25:33 - mmengine - INFO - Epoch(train) [130][15/63] lr: 1.0000e-04 eta: 17:57:22 time: 0.9543 data_time: 0.0624 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0241 loss: 0.0612 2022/08/26 03:25:37 - mmengine - INFO - Epoch(train) [130][20/63] lr: 1.0000e-04 eta: 17:56:14 time: 0.9156 data_time: 0.0349 memory: 25127 loss_text: 0.0372 loss_kernel: 0.0232 loss: 0.0605 2022/08/26 03:25:42 - mmengine - INFO - Epoch(train) [130][25/63] lr: 1.0000e-04 eta: 17:56:14 time: 0.8686 data_time: 0.0294 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0251 loss: 0.0635 2022/08/26 03:25:46 - mmengine - INFO - Epoch(train) [130][30/63] lr: 1.0000e-04 eta: 17:55:05 time: 0.8845 data_time: 0.0426 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0245 loss: 0.0618 2022/08/26 03:25:50 - mmengine - INFO - Epoch(train) [130][35/63] lr: 1.0000e-04 eta: 17:55:05 time: 0.8686 data_time: 0.0288 memory: 25127 loss_text: 0.0357 loss_kernel: 0.0235 loss: 0.0592 2022/08/26 03:25:55 - mmengine - INFO - Epoch(train) [130][40/63] lr: 1.0000e-04 eta: 17:53:57 time: 0.8819 data_time: 0.0280 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0238 loss: 0.0591 2022/08/26 03:25:59 - mmengine - INFO - Epoch(train) [130][45/63] lr: 1.0000e-04 eta: 17:53:57 time: 0.8882 data_time: 0.0324 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0257 loss: 0.0632 2022/08/26 03:26:03 - mmengine - INFO - Epoch(train) [130][50/63] lr: 1.0000e-04 eta: 17:52:47 time: 0.8473 data_time: 0.0259 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0246 loss: 0.0611 2022/08/26 03:26:08 - mmengine - INFO - Epoch(train) [130][55/63] lr: 1.0000e-04 eta: 17:52:47 time: 0.8528 data_time: 0.0366 memory: 25127 loss_text: 0.0392 loss_kernel: 0.0250 loss: 0.0642 2022/08/26 03:26:12 - mmengine - INFO - Epoch(train) [130][60/63] lr: 1.0000e-04 eta: 17:51:38 time: 0.8770 data_time: 0.0327 memory: 25127 loss_text: 0.0439 loss_kernel: 0.0273 loss: 0.0712 2022/08/26 03:26:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:27:43 - mmengine - INFO - Epoch(train) [131][5/63] lr: 1.0000e-04 eta: 17:51:38 time: 9.2283 data_time: 8.3928 memory: 25127 loss_text: 0.0396 loss_kernel: 0.0243 loss: 0.0639 2022/08/26 03:27:47 - mmengine - INFO - Epoch(train) [131][10/63] lr: 1.0000e-04 eta: 17:55:02 time: 9.2535 data_time: 8.4084 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0251 loss: 0.0647 2022/08/26 03:27:51 - mmengine - INFO - Epoch(train) [131][15/63] lr: 1.0000e-04 eta: 17:55:02 time: 0.8788 data_time: 0.0372 memory: 25127 loss_text: 0.0390 loss_kernel: 0.0248 loss: 0.0637 2022/08/26 03:27:56 - mmengine - INFO - Epoch(train) [131][20/63] lr: 1.0000e-04 eta: 17:53:53 time: 0.8705 data_time: 0.0235 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0228 loss: 0.0565 2022/08/26 03:28:00 - mmengine - INFO - Epoch(train) [131][25/63] lr: 1.0000e-04 eta: 17:53:53 time: 0.8686 data_time: 0.0353 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0234 loss: 0.0585 2022/08/26 03:28:04 - mmengine - INFO - Epoch(train) [131][30/63] lr: 1.0000e-04 eta: 17:52:45 time: 0.8723 data_time: 0.0306 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0207 loss: 0.0536 2022/08/26 03:28:09 - mmengine - INFO - Epoch(train) [131][35/63] lr: 1.0000e-04 eta: 17:52:45 time: 0.8647 data_time: 0.0239 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0215 loss: 0.0555 2022/08/26 03:28:13 - mmengine - INFO - Epoch(train) [131][40/63] lr: 1.0000e-04 eta: 17:51:35 time: 0.8514 data_time: 0.0286 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0252 loss: 0.0649 2022/08/26 03:28:17 - mmengine - INFO - Epoch(train) [131][45/63] lr: 1.0000e-04 eta: 17:51:35 time: 0.8663 data_time: 0.0348 memory: 25127 loss_text: 0.0401 loss_kernel: 0.0259 loss: 0.0659 2022/08/26 03:28:22 - mmengine - INFO - Epoch(train) [131][50/63] lr: 1.0000e-04 eta: 17:50:27 time: 0.8802 data_time: 0.0415 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0248 loss: 0.0593 2022/08/26 03:28:26 - mmengine - INFO - Epoch(train) [131][55/63] lr: 1.0000e-04 eta: 17:50:27 time: 0.8613 data_time: 0.0326 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0265 loss: 0.0637 2022/08/26 03:28:30 - mmengine - INFO - Epoch(train) [131][60/63] lr: 1.0000e-04 eta: 17:49:18 time: 0.8422 data_time: 0.0205 memory: 25127 loss_text: 0.0376 loss_kernel: 0.0247 loss: 0.0623 2022/08/26 03:28:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:30:01 - mmengine - INFO - Epoch(train) [132][5/63] lr: 1.0000e-04 eta: 17:49:18 time: 9.2092 data_time: 8.4258 memory: 25127 loss_text: 0.0367 loss_kernel: 0.0231 loss: 0.0598 2022/08/26 03:30:05 - mmengine - INFO - Epoch(train) [132][10/63] lr: 1.0000e-04 eta: 17:52:40 time: 9.2659 data_time: 8.4500 memory: 25127 loss_text: 0.0372 loss_kernel: 0.0239 loss: 0.0611 2022/08/26 03:30:10 - mmengine - INFO - Epoch(train) [132][15/63] lr: 1.0000e-04 eta: 17:52:40 time: 0.9134 data_time: 0.0433 memory: 25127 loss_text: 0.0364 loss_kernel: 0.0234 loss: 0.0598 2022/08/26 03:30:14 - mmengine - INFO - Epoch(train) [132][20/63] lr: 1.0000e-04 eta: 17:51:33 time: 0.9119 data_time: 0.0396 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0240 loss: 0.0623 2022/08/26 03:30:18 - mmengine - INFO - Epoch(train) [132][25/63] lr: 1.0000e-04 eta: 17:51:33 time: 0.8543 data_time: 0.0390 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0259 loss: 0.0685 2022/08/26 03:30:23 - mmengine - INFO - Epoch(train) [132][30/63] lr: 1.0000e-04 eta: 17:50:23 time: 0.8383 data_time: 0.0292 memory: 25127 loss_text: 0.0433 loss_kernel: 0.0266 loss: 0.0700 2022/08/26 03:30:27 - mmengine - INFO - Epoch(train) [132][35/63] lr: 1.0000e-04 eta: 17:50:23 time: 0.8275 data_time: 0.0270 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0235 loss: 0.0581 2022/08/26 03:30:32 - mmengine - INFO - Epoch(train) [132][40/63] lr: 1.0000e-04 eta: 17:49:18 time: 0.9416 data_time: 0.0271 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0234 loss: 0.0555 2022/08/26 03:30:36 - mmengine - INFO - Epoch(train) [132][45/63] lr: 1.0000e-04 eta: 17:49:18 time: 0.9479 data_time: 0.0360 memory: 25127 loss_text: 0.0400 loss_kernel: 0.0257 loss: 0.0657 2022/08/26 03:30:40 - mmengine - INFO - Epoch(train) [132][50/63] lr: 1.0000e-04 eta: 17:48:09 time: 0.8422 data_time: 0.0289 memory: 25127 loss_text: 0.0435 loss_kernel: 0.0263 loss: 0.0699 2022/08/26 03:30:45 - mmengine - INFO - Epoch(train) [132][55/63] lr: 1.0000e-04 eta: 17:48:09 time: 0.8802 data_time: 0.0284 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0237 loss: 0.0607 2022/08/26 03:30:49 - mmengine - INFO - Epoch(train) [132][60/63] lr: 1.0000e-04 eta: 17:47:01 time: 0.8747 data_time: 0.0277 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0241 loss: 0.0621 2022/08/26 03:30:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:32:20 - mmengine - INFO - Epoch(train) [133][5/63] lr: 1.0000e-04 eta: 17:47:01 time: 9.2216 data_time: 8.4247 memory: 25127 loss_text: 0.0454 loss_kernel: 0.0297 loss: 0.0751 2022/08/26 03:32:24 - mmengine - INFO - Epoch(train) [133][10/63] lr: 1.0000e-04 eta: 17:50:21 time: 9.2848 data_time: 8.4469 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0267 loss: 0.0657 2022/08/26 03:32:29 - mmengine - INFO - Epoch(train) [133][15/63] lr: 1.0000e-04 eta: 17:50:21 time: 0.8745 data_time: 0.0402 memory: 25127 loss_text: 0.0320 loss_kernel: 0.0227 loss: 0.0547 2022/08/26 03:32:33 - mmengine - INFO - Epoch(train) [133][20/63] lr: 1.0000e-04 eta: 17:49:13 time: 0.8587 data_time: 0.0317 memory: 25127 loss_text: 0.0317 loss_kernel: 0.0208 loss: 0.0525 2022/08/26 03:32:37 - mmengine - INFO - Epoch(train) [133][25/63] lr: 1.0000e-04 eta: 17:49:13 time: 0.8707 data_time: 0.0343 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0235 loss: 0.0601 2022/08/26 03:32:42 - mmengine - INFO - Epoch(train) [133][30/63] lr: 1.0000e-04 eta: 17:48:05 time: 0.8740 data_time: 0.0276 memory: 25127 loss_text: 0.0451 loss_kernel: 0.0278 loss: 0.0729 2022/08/26 03:32:46 - mmengine - INFO - Epoch(train) [133][35/63] lr: 1.0000e-04 eta: 17:48:05 time: 0.8767 data_time: 0.0295 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0269 loss: 0.0695 2022/08/26 03:32:50 - mmengine - INFO - Epoch(train) [133][40/63] lr: 1.0000e-04 eta: 17:46:57 time: 0.8658 data_time: 0.0261 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0250 loss: 0.0633 2022/08/26 03:32:55 - mmengine - INFO - Epoch(train) [133][45/63] lr: 1.0000e-04 eta: 17:46:57 time: 0.8649 data_time: 0.0337 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0275 loss: 0.0701 2022/08/26 03:32:59 - mmengine - INFO - Epoch(train) [133][50/63] lr: 1.0000e-04 eta: 17:45:50 time: 0.8716 data_time: 0.0368 memory: 25127 loss_text: 0.0385 loss_kernel: 0.0271 loss: 0.0656 2022/08/26 03:33:03 - mmengine - INFO - Epoch(train) [133][55/63] lr: 1.0000e-04 eta: 17:45:50 time: 0.8593 data_time: 0.0300 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0221 loss: 0.0536 2022/08/26 03:33:07 - mmengine - INFO - Epoch(train) [133][60/63] lr: 1.0000e-04 eta: 17:44:41 time: 0.8292 data_time: 0.0253 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0209 loss: 0.0532 2022/08/26 03:33:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:34:39 - mmengine - INFO - Epoch(train) [134][5/63] lr: 1.0000e-04 eta: 17:44:41 time: 9.2793 data_time: 8.3919 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0271 loss: 0.0717 2022/08/26 03:34:43 - mmengine - INFO - Epoch(train) [134][10/63] lr: 1.0000e-04 eta: 17:47:58 time: 9.2548 data_time: 8.4155 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0232 loss: 0.0598 2022/08/26 03:34:48 - mmengine - INFO - Epoch(train) [134][15/63] lr: 1.0000e-04 eta: 17:47:58 time: 0.9027 data_time: 0.0369 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0221 loss: 0.0557 2022/08/26 03:34:52 - mmengine - INFO - Epoch(train) [134][20/63] lr: 1.0000e-04 eta: 17:46:51 time: 0.8917 data_time: 0.0272 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0221 loss: 0.0551 2022/08/26 03:34:56 - mmengine - INFO - Epoch(train) [134][25/63] lr: 1.0000e-04 eta: 17:46:51 time: 0.8532 data_time: 0.0328 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0227 loss: 0.0576 2022/08/26 03:35:01 - mmengine - INFO - Epoch(train) [134][30/63] lr: 1.0000e-04 eta: 17:45:43 time: 0.8635 data_time: 0.0242 memory: 25127 loss_text: 0.0349 loss_kernel: 0.0226 loss: 0.0576 2022/08/26 03:35:05 - mmengine - INFO - Epoch(train) [134][35/63] lr: 1.0000e-04 eta: 17:45:43 time: 0.8831 data_time: 0.0314 memory: 25127 loss_text: 0.0358 loss_kernel: 0.0233 loss: 0.0591 2022/08/26 03:35:09 - mmengine - INFO - Epoch(train) [134][40/63] lr: 1.0000e-04 eta: 17:44:36 time: 0.8672 data_time: 0.0289 memory: 25127 loss_text: 0.0349 loss_kernel: 0.0238 loss: 0.0587 2022/08/26 03:35:14 - mmengine - INFO - Epoch(train) [134][45/63] lr: 1.0000e-04 eta: 17:44:36 time: 0.8578 data_time: 0.0232 memory: 25127 loss_text: 0.0320 loss_kernel: 0.0228 loss: 0.0548 2022/08/26 03:35:18 - mmengine - INFO - Epoch(train) [134][50/63] lr: 1.0000e-04 eta: 17:43:29 time: 0.8759 data_time: 0.0370 memory: 25127 loss_text: 0.0399 loss_kernel: 0.0266 loss: 0.0666 2022/08/26 03:35:22 - mmengine - INFO - Epoch(train) [134][55/63] lr: 1.0000e-04 eta: 17:43:29 time: 0.8732 data_time: 0.0330 memory: 25127 loss_text: 0.0419 loss_kernel: 0.0273 loss: 0.0692 2022/08/26 03:35:27 - mmengine - INFO - Epoch(train) [134][60/63] lr: 1.0000e-04 eta: 17:42:21 time: 0.8443 data_time: 0.0217 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0256 loss: 0.0651 2022/08/26 03:35:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:36:56 - mmengine - INFO - Epoch(train) [135][5/63] lr: 1.0000e-04 eta: 17:42:21 time: 9.0549 data_time: 8.2497 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0234 loss: 0.0577 2022/08/26 03:37:00 - mmengine - INFO - Epoch(train) [135][10/63] lr: 1.0000e-04 eta: 17:45:31 time: 9.1106 data_time: 8.2803 memory: 25127 loss_text: 0.0367 loss_kernel: 0.0241 loss: 0.0608 2022/08/26 03:37:04 - mmengine - INFO - Epoch(train) [135][15/63] lr: 1.0000e-04 eta: 17:45:31 time: 0.8430 data_time: 0.0452 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0252 loss: 0.0659 2022/08/26 03:37:08 - mmengine - INFO - Epoch(train) [135][20/63] lr: 1.0000e-04 eta: 17:44:22 time: 0.8216 data_time: 0.0186 memory: 25127 loss_text: 0.0381 loss_kernel: 0.0244 loss: 0.0625 2022/08/26 03:37:13 - mmengine - INFO - Epoch(train) [135][25/63] lr: 1.0000e-04 eta: 17:44:22 time: 0.8554 data_time: 0.0333 memory: 25127 loss_text: 0.0388 loss_kernel: 0.0255 loss: 0.0643 2022/08/26 03:37:17 - mmengine - INFO - Epoch(train) [135][30/63] lr: 1.0000e-04 eta: 17:43:15 time: 0.8575 data_time: 0.0329 memory: 25127 loss_text: 0.0410 loss_kernel: 0.0263 loss: 0.0672 2022/08/26 03:37:21 - mmengine - INFO - Epoch(train) [135][35/63] lr: 1.0000e-04 eta: 17:43:15 time: 0.8682 data_time: 0.0356 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0230 loss: 0.0573 2022/08/26 03:37:25 - mmengine - INFO - Epoch(train) [135][40/63] lr: 1.0000e-04 eta: 17:42:08 time: 0.8724 data_time: 0.0360 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0218 loss: 0.0526 2022/08/26 03:37:30 - mmengine - INFO - Epoch(train) [135][45/63] lr: 1.0000e-04 eta: 17:42:08 time: 0.8455 data_time: 0.0281 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0215 loss: 0.0530 2022/08/26 03:37:34 - mmengine - INFO - Epoch(train) [135][50/63] lr: 1.0000e-04 eta: 17:41:01 time: 0.8456 data_time: 0.0305 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0214 loss: 0.0526 2022/08/26 03:37:38 - mmengine - INFO - Epoch(train) [135][55/63] lr: 1.0000e-04 eta: 17:41:01 time: 0.8604 data_time: 0.0279 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0239 loss: 0.0569 2022/08/26 03:37:43 - mmengine - INFO - Epoch(train) [135][60/63] lr: 1.0000e-04 eta: 17:39:55 time: 0.8862 data_time: 0.0251 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0277 loss: 0.0690 2022/08/26 03:37:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:39:15 - mmengine - INFO - Epoch(train) [136][5/63] lr: 1.0000e-04 eta: 17:39:55 time: 9.3895 data_time: 8.5778 memory: 25127 loss_text: 0.0471 loss_kernel: 0.0276 loss: 0.0747 2022/08/26 03:39:19 - mmengine - INFO - Epoch(train) [136][10/63] lr: 1.0000e-04 eta: 17:43:14 time: 9.4362 data_time: 8.6010 memory: 25127 loss_text: 0.0467 loss_kernel: 0.0273 loss: 0.0740 2022/08/26 03:39:24 - mmengine - INFO - Epoch(train) [136][15/63] lr: 1.0000e-04 eta: 17:43:14 time: 0.8727 data_time: 0.0348 memory: 25127 loss_text: 0.0400 loss_kernel: 0.0244 loss: 0.0644 2022/08/26 03:39:28 - mmengine - INFO - Epoch(train) [136][20/63] lr: 1.0000e-04 eta: 17:42:07 time: 0.8580 data_time: 0.0200 memory: 25127 loss_text: 0.0328 loss_kernel: 0.0214 loss: 0.0542 2022/08/26 03:39:33 - mmengine - INFO - Epoch(train) [136][25/63] lr: 1.0000e-04 eta: 17:42:07 time: 0.9021 data_time: 0.0830 memory: 25127 loss_text: 0.0367 loss_kernel: 0.0234 loss: 0.0601 2022/08/26 03:39:37 - mmengine - INFO - Epoch(train) [136][30/63] lr: 1.0000e-04 eta: 17:41:01 time: 0.8927 data_time: 0.0773 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0257 loss: 0.0671 2022/08/26 03:39:41 - mmengine - INFO - Epoch(train) [136][35/63] lr: 1.0000e-04 eta: 17:41:01 time: 0.8276 data_time: 0.0242 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0235 loss: 0.0609 2022/08/26 03:39:45 - mmengine - INFO - Epoch(train) [136][40/63] lr: 1.0000e-04 eta: 17:39:54 time: 0.8467 data_time: 0.0263 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0238 loss: 0.0613 2022/08/26 03:39:50 - mmengine - INFO - Epoch(train) [136][45/63] lr: 1.0000e-04 eta: 17:39:54 time: 0.8573 data_time: 0.0333 memory: 25127 loss_text: 0.0372 loss_kernel: 0.0248 loss: 0.0620 2022/08/26 03:39:54 - mmengine - INFO - Epoch(train) [136][50/63] lr: 1.0000e-04 eta: 17:38:46 time: 0.8243 data_time: 0.0380 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0251 loss: 0.0621 2022/08/26 03:39:58 - mmengine - INFO - Epoch(train) [136][55/63] lr: 1.0000e-04 eta: 17:38:46 time: 0.8797 data_time: 0.0297 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0271 loss: 0.0632 2022/08/26 03:40:02 - mmengine - INFO - Epoch(train) [136][60/63] lr: 1.0000e-04 eta: 17:37:40 time: 0.8796 data_time: 0.0222 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0248 loss: 0.0560 2022/08/26 03:40:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:41:32 - mmengine - INFO - Epoch(train) [137][5/63] lr: 1.0000e-04 eta: 17:37:40 time: 9.1201 data_time: 8.3364 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0242 loss: 0.0586 2022/08/26 03:41:37 - mmengine - INFO - Epoch(train) [137][10/63] lr: 1.0000e-04 eta: 17:40:49 time: 9.2035 data_time: 8.3622 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0230 loss: 0.0567 2022/08/26 03:41:41 - mmengine - INFO - Epoch(train) [137][15/63] lr: 1.0000e-04 eta: 17:40:49 time: 0.8849 data_time: 0.0349 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0219 loss: 0.0551 2022/08/26 03:41:46 - mmengine - INFO - Epoch(train) [137][20/63] lr: 1.0000e-04 eta: 17:39:44 time: 0.9047 data_time: 0.0206 memory: 25127 loss_text: 0.0451 loss_kernel: 0.0273 loss: 0.0724 2022/08/26 03:41:50 - mmengine - INFO - Epoch(train) [137][25/63] lr: 1.0000e-04 eta: 17:39:44 time: 0.9166 data_time: 0.0403 memory: 25127 loss_text: 0.0460 loss_kernel: 0.0273 loss: 0.0733 2022/08/26 03:41:55 - mmengine - INFO - Epoch(train) [137][30/63] lr: 1.0000e-04 eta: 17:38:38 time: 0.8862 data_time: 0.0316 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0254 loss: 0.0676 2022/08/26 03:41:59 - mmengine - INFO - Epoch(train) [137][35/63] lr: 1.0000e-04 eta: 17:38:38 time: 0.8974 data_time: 0.0213 memory: 25127 loss_text: 0.0458 loss_kernel: 0.0280 loss: 0.0738 2022/08/26 03:42:04 - mmengine - INFO - Epoch(train) [137][40/63] lr: 1.0000e-04 eta: 17:37:34 time: 0.9059 data_time: 0.0266 memory: 25127 loss_text: 0.0444 loss_kernel: 0.0272 loss: 0.0716 2022/08/26 03:42:08 - mmengine - INFO - Epoch(train) [137][45/63] lr: 1.0000e-04 eta: 17:37:34 time: 0.8684 data_time: 0.0327 memory: 25127 loss_text: 0.0453 loss_kernel: 0.0282 loss: 0.0735 2022/08/26 03:42:12 - mmengine - INFO - Epoch(train) [137][50/63] lr: 1.0000e-04 eta: 17:36:27 time: 0.8566 data_time: 0.0373 memory: 25127 loss_text: 0.0469 loss_kernel: 0.0292 loss: 0.0761 2022/08/26 03:42:16 - mmengine - INFO - Epoch(train) [137][55/63] lr: 1.0000e-04 eta: 17:36:27 time: 0.8619 data_time: 0.0296 memory: 25127 loss_text: 0.0418 loss_kernel: 0.0254 loss: 0.0672 2022/08/26 03:42:21 - mmengine - INFO - Epoch(train) [137][60/63] lr: 1.0000e-04 eta: 17:35:21 time: 0.8584 data_time: 0.0215 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0247 loss: 0.0658 2022/08/26 03:42:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:43:50 - mmengine - INFO - Epoch(train) [138][5/63] lr: 1.0000e-04 eta: 17:35:21 time: 9.0670 data_time: 8.2930 memory: 25127 loss_text: 0.0347 loss_kernel: 0.0237 loss: 0.0584 2022/08/26 03:43:54 - mmengine - INFO - Epoch(train) [138][10/63] lr: 1.0000e-04 eta: 17:38:25 time: 9.1125 data_time: 8.3086 memory: 25127 loss_text: 0.0369 loss_kernel: 0.0244 loss: 0.0612 2022/08/26 03:43:58 - mmengine - INFO - Epoch(train) [138][15/63] lr: 1.0000e-04 eta: 17:38:25 time: 0.8244 data_time: 0.0292 memory: 25127 loss_text: 0.0368 loss_kernel: 0.0232 loss: 0.0600 2022/08/26 03:44:03 - mmengine - INFO - Epoch(train) [138][20/63] lr: 1.0000e-04 eta: 17:37:21 time: 0.9264 data_time: 0.0394 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0234 loss: 0.0600 2022/08/26 03:44:07 - mmengine - INFO - Epoch(train) [138][25/63] lr: 1.0000e-04 eta: 17:37:21 time: 0.9314 data_time: 0.0410 memory: 25127 loss_text: 0.0457 loss_kernel: 0.0285 loss: 0.0742 2022/08/26 03:44:11 - mmengine - INFO - Epoch(train) [138][30/63] lr: 1.0000e-04 eta: 17:36:14 time: 0.8121 data_time: 0.0240 memory: 25127 loss_text: 0.0456 loss_kernel: 0.0283 loss: 0.0740 2022/08/26 03:44:16 - mmengine - INFO - Epoch(train) [138][35/63] lr: 1.0000e-04 eta: 17:36:14 time: 0.8725 data_time: 0.0482 memory: 25127 loss_text: 0.0453 loss_kernel: 0.0265 loss: 0.0718 2022/08/26 03:44:20 - mmengine - INFO - Epoch(train) [138][40/63] lr: 1.0000e-04 eta: 17:35:09 time: 0.8959 data_time: 0.0441 memory: 25127 loss_text: 0.0511 loss_kernel: 0.0288 loss: 0.0800 2022/08/26 03:44:25 - mmengine - INFO - Epoch(train) [138][45/63] lr: 1.0000e-04 eta: 17:35:09 time: 0.8844 data_time: 0.0295 memory: 25127 loss_text: 0.0492 loss_kernel: 0.0297 loss: 0.0789 2022/08/26 03:44:29 - mmengine - INFO - Epoch(train) [138][50/63] lr: 1.0000e-04 eta: 17:34:04 time: 0.8889 data_time: 0.0261 memory: 25127 loss_text: 0.0443 loss_kernel: 0.0289 loss: 0.0732 2022/08/26 03:44:33 - mmengine - INFO - Epoch(train) [138][55/63] lr: 1.0000e-04 eta: 17:34:04 time: 0.8478 data_time: 0.0244 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0252 loss: 0.0659 2022/08/26 03:44:38 - mmengine - INFO - Epoch(train) [138][60/63] lr: 1.0000e-04 eta: 17:32:58 time: 0.8401 data_time: 0.0314 memory: 25127 loss_text: 0.0431 loss_kernel: 0.0271 loss: 0.0701 2022/08/26 03:44:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:46:09 - mmengine - INFO - Epoch(train) [139][5/63] lr: 1.0000e-04 eta: 17:32:58 time: 9.2685 data_time: 8.4776 memory: 25127 loss_text: 0.0415 loss_kernel: 0.0265 loss: 0.0679 2022/08/26 03:46:13 - mmengine - INFO - Epoch(train) [139][10/63] lr: 1.0000e-04 eta: 17:36:07 time: 9.3187 data_time: 8.4948 memory: 25127 loss_text: 0.0417 loss_kernel: 0.0259 loss: 0.0676 2022/08/26 03:46:18 - mmengine - INFO - Epoch(train) [139][15/63] lr: 1.0000e-04 eta: 17:36:07 time: 0.8816 data_time: 0.0417 memory: 25127 loss_text: 0.0363 loss_kernel: 0.0239 loss: 0.0602 2022/08/26 03:46:22 - mmengine - INFO - Epoch(train) [139][20/63] lr: 1.0000e-04 eta: 17:35:02 time: 0.8789 data_time: 0.0363 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0274 loss: 0.0686 2022/08/26 03:46:26 - mmengine - INFO - Epoch(train) [139][25/63] lr: 1.0000e-04 eta: 17:35:02 time: 0.8701 data_time: 0.0404 memory: 25127 loss_text: 0.0401 loss_kernel: 0.0280 loss: 0.0681 2022/08/26 03:46:31 - mmengine - INFO - Epoch(train) [139][30/63] lr: 1.0000e-04 eta: 17:33:56 time: 0.8636 data_time: 0.0294 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0231 loss: 0.0566 2022/08/26 03:46:35 - mmengine - INFO - Epoch(train) [139][35/63] lr: 1.0000e-04 eta: 17:33:56 time: 0.8419 data_time: 0.0224 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0216 loss: 0.0540 2022/08/26 03:46:39 - mmengine - INFO - Epoch(train) [139][40/63] lr: 1.0000e-04 eta: 17:32:50 time: 0.8413 data_time: 0.0281 memory: 25127 loss_text: 0.0364 loss_kernel: 0.0225 loss: 0.0589 2022/08/26 03:46:44 - mmengine - INFO - Epoch(train) [139][45/63] lr: 1.0000e-04 eta: 17:32:50 time: 0.8783 data_time: 0.0569 memory: 25127 loss_text: 0.0452 loss_kernel: 0.0262 loss: 0.0715 2022/08/26 03:46:48 - mmengine - INFO - Epoch(train) [139][50/63] lr: 1.0000e-04 eta: 17:31:45 time: 0.8608 data_time: 0.0555 memory: 25127 loss_text: 0.0426 loss_kernel: 0.0271 loss: 0.0697 2022/08/26 03:46:52 - mmengine - INFO - Epoch(train) [139][55/63] lr: 1.0000e-04 eta: 17:31:45 time: 0.8449 data_time: 0.0263 memory: 25127 loss_text: 0.0403 loss_kernel: 0.0258 loss: 0.0660 2022/08/26 03:46:56 - mmengine - INFO - Epoch(train) [139][60/63] lr: 1.0000e-04 eta: 17:30:39 time: 0.8376 data_time: 0.0247 memory: 25127 loss_text: 0.0443 loss_kernel: 0.0270 loss: 0.0713 2022/08/26 03:46:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:48:26 - mmengine - INFO - Epoch(train) [140][5/63] lr: 1.0000e-04 eta: 17:30:39 time: 9.1773 data_time: 8.3876 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0224 loss: 0.0569 2022/08/26 03:48:31 - mmengine - INFO - Epoch(train) [140][10/63] lr: 1.0000e-04 eta: 17:33:43 time: 9.2349 data_time: 8.3987 memory: 25127 loss_text: 0.0381 loss_kernel: 0.0244 loss: 0.0625 2022/08/26 03:48:35 - mmengine - INFO - Epoch(train) [140][15/63] lr: 1.0000e-04 eta: 17:33:43 time: 0.8709 data_time: 0.0401 memory: 25127 loss_text: 0.0420 loss_kernel: 0.0264 loss: 0.0684 2022/08/26 03:48:39 - mmengine - INFO - Epoch(train) [140][20/63] lr: 1.0000e-04 eta: 17:32:38 time: 0.8830 data_time: 0.0404 memory: 25127 loss_text: 0.0456 loss_kernel: 0.0282 loss: 0.0738 2022/08/26 03:48:44 - mmengine - INFO - Epoch(train) [140][25/63] lr: 1.0000e-04 eta: 17:32:38 time: 0.8602 data_time: 0.0248 memory: 25127 loss_text: 0.0489 loss_kernel: 0.0285 loss: 0.0774 2022/08/26 03:48:48 - mmengine - INFO - Epoch(train) [140][30/63] lr: 1.0000e-04 eta: 17:31:34 time: 0.8804 data_time: 0.0245 memory: 25127 loss_text: 0.0394 loss_kernel: 0.0240 loss: 0.0635 2022/08/26 03:48:53 - mmengine - INFO - Epoch(train) [140][35/63] lr: 1.0000e-04 eta: 17:31:34 time: 0.8922 data_time: 0.0376 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0237 loss: 0.0598 2022/08/26 03:48:57 - mmengine - INFO - Epoch(train) [140][40/63] lr: 1.0000e-04 eta: 17:30:28 time: 0.8465 data_time: 0.0292 memory: 25127 loss_text: 0.0415 loss_kernel: 0.0260 loss: 0.0676 2022/08/26 03:49:01 - mmengine - INFO - Epoch(train) [140][45/63] lr: 1.0000e-04 eta: 17:30:28 time: 0.8252 data_time: 0.0225 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0238 loss: 0.0608 2022/08/26 03:49:05 - mmengine - INFO - Epoch(train) [140][50/63] lr: 1.0000e-04 eta: 17:29:23 time: 0.8425 data_time: 0.0232 memory: 25127 loss_text: 0.0311 loss_kernel: 0.0206 loss: 0.0517 2022/08/26 03:49:10 - mmengine - INFO - Epoch(train) [140][55/63] lr: 1.0000e-04 eta: 17:29:23 time: 0.8670 data_time: 0.0244 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0218 loss: 0.0554 2022/08/26 03:49:14 - mmengine - INFO - Epoch(train) [140][60/63] lr: 1.0000e-04 eta: 17:28:18 time: 0.8804 data_time: 0.0303 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0236 loss: 0.0597 2022/08/26 03:49:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:49:16 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/26 03:50:49 - mmengine - INFO - Epoch(train) [141][5/63] lr: 1.0000e-04 eta: 17:28:18 time: 9.1097 data_time: 8.3128 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0210 loss: 0.0514 2022/08/26 03:50:53 - mmengine - INFO - Epoch(train) [141][10/63] lr: 1.0000e-04 eta: 17:31:18 time: 9.1579 data_time: 8.3209 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0236 loss: 0.0550 2022/08/26 03:50:58 - mmengine - INFO - Epoch(train) [141][15/63] lr: 1.0000e-04 eta: 17:31:18 time: 0.9334 data_time: 0.0304 memory: 25127 loss_text: 0.0467 loss_kernel: 0.0301 loss: 0.0768 2022/08/26 03:51:02 - mmengine - INFO - Epoch(train) [141][20/63] lr: 1.0000e-04 eta: 17:30:15 time: 0.9274 data_time: 0.0239 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0280 loss: 0.0725 2022/08/26 03:51:07 - mmengine - INFO - Epoch(train) [141][25/63] lr: 1.0000e-04 eta: 17:30:15 time: 0.8628 data_time: 0.0257 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0237 loss: 0.0560 2022/08/26 03:51:11 - mmengine - INFO - Epoch(train) [141][30/63] lr: 1.0000e-04 eta: 17:29:11 time: 0.8732 data_time: 0.0273 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0226 loss: 0.0539 2022/08/26 03:51:15 - mmengine - INFO - Epoch(train) [141][35/63] lr: 1.0000e-04 eta: 17:29:11 time: 0.8650 data_time: 0.0279 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0230 loss: 0.0579 2022/08/26 03:51:20 - mmengine - INFO - Epoch(train) [141][40/63] lr: 1.0000e-04 eta: 17:28:07 time: 0.8845 data_time: 0.0328 memory: 25127 loss_text: 0.0368 loss_kernel: 0.0228 loss: 0.0597 2022/08/26 03:51:24 - mmengine - INFO - Epoch(train) [141][45/63] lr: 1.0000e-04 eta: 17:28:07 time: 0.8762 data_time: 0.0288 memory: 25127 loss_text: 0.0328 loss_kernel: 0.0212 loss: 0.0541 2022/08/26 03:51:28 - mmengine - INFO - Epoch(train) [141][50/63] lr: 1.0000e-04 eta: 17:27:02 time: 0.8581 data_time: 0.0262 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0226 loss: 0.0549 2022/08/26 03:51:33 - mmengine - INFO - Epoch(train) [141][55/63] lr: 1.0000e-04 eta: 17:27:02 time: 0.8757 data_time: 0.0303 memory: 25127 loss_text: 0.0402 loss_kernel: 0.0263 loss: 0.0665 2022/08/26 03:51:37 - mmengine - INFO - Epoch(train) [141][60/63] lr: 1.0000e-04 eta: 17:25:58 time: 0.8630 data_time: 0.0233 memory: 25127 loss_text: 0.0495 loss_kernel: 0.0287 loss: 0.0782 2022/08/26 03:51:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:53:08 - mmengine - INFO - Epoch(train) [142][5/63] lr: 1.0000e-04 eta: 17:25:58 time: 9.3027 data_time: 8.4897 memory: 25127 loss_text: 0.0503 loss_kernel: 0.0306 loss: 0.0809 2022/08/26 03:53:13 - mmengine - INFO - Epoch(train) [142][10/63] lr: 1.0000e-04 eta: 17:29:01 time: 9.3261 data_time: 8.5023 memory: 25127 loss_text: 0.0386 loss_kernel: 0.0246 loss: 0.0633 2022/08/26 03:53:17 - mmengine - INFO - Epoch(train) [142][15/63] lr: 1.0000e-04 eta: 17:29:01 time: 0.8211 data_time: 0.0304 memory: 25127 loss_text: 0.0376 loss_kernel: 0.0240 loss: 0.0616 2022/08/26 03:53:22 - mmengine - INFO - Epoch(train) [142][20/63] lr: 1.0000e-04 eta: 17:27:58 time: 0.9099 data_time: 0.0413 memory: 25127 loss_text: 0.0437 loss_kernel: 0.0269 loss: 0.0705 2022/08/26 03:53:26 - mmengine - INFO - Epoch(train) [142][25/63] lr: 1.0000e-04 eta: 17:27:58 time: 0.9118 data_time: 0.0453 memory: 25127 loss_text: 0.0460 loss_kernel: 0.0278 loss: 0.0738 2022/08/26 03:53:30 - mmengine - INFO - Epoch(train) [142][30/63] lr: 1.0000e-04 eta: 17:26:53 time: 0.8251 data_time: 0.0255 memory: 25127 loss_text: 0.0399 loss_kernel: 0.0242 loss: 0.0641 2022/08/26 03:53:34 - mmengine - INFO - Epoch(train) [142][35/63] lr: 1.0000e-04 eta: 17:26:53 time: 0.8280 data_time: 0.0228 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0231 loss: 0.0585 2022/08/26 03:53:38 - mmengine - INFO - Epoch(train) [142][40/63] lr: 1.0000e-04 eta: 17:25:47 time: 0.8177 data_time: 0.0247 memory: 25127 loss_text: 0.0359 loss_kernel: 0.0238 loss: 0.0597 2022/08/26 03:53:43 - mmengine - INFO - Epoch(train) [142][45/63] lr: 1.0000e-04 eta: 17:25:47 time: 0.8679 data_time: 0.0387 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0257 loss: 0.0665 2022/08/26 03:53:47 - mmengine - INFO - Epoch(train) [142][50/63] lr: 1.0000e-04 eta: 17:24:43 time: 0.8684 data_time: 0.0362 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0246 loss: 0.0626 2022/08/26 03:53:51 - mmengine - INFO - Epoch(train) [142][55/63] lr: 1.0000e-04 eta: 17:24:43 time: 0.8240 data_time: 0.0227 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0221 loss: 0.0550 2022/08/26 03:53:55 - mmengine - INFO - Epoch(train) [142][60/63] lr: 1.0000e-04 eta: 17:23:38 time: 0.8212 data_time: 0.0224 memory: 25127 loss_text: 0.0376 loss_kernel: 0.0248 loss: 0.0624 2022/08/26 03:53:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:55:25 - mmengine - INFO - Epoch(train) [143][5/63] lr: 1.0000e-04 eta: 17:23:38 time: 9.1875 data_time: 8.4130 memory: 25127 loss_text: 0.0315 loss_kernel: 0.0217 loss: 0.0532 2022/08/26 03:55:30 - mmengine - INFO - Epoch(train) [143][10/63] lr: 1.0000e-04 eta: 17:26:37 time: 9.2588 data_time: 8.4363 memory: 25127 loss_text: 0.0379 loss_kernel: 0.0237 loss: 0.0615 2022/08/26 03:55:34 - mmengine - INFO - Epoch(train) [143][15/63] lr: 1.0000e-04 eta: 17:26:37 time: 0.8766 data_time: 0.0428 memory: 25127 loss_text: 0.0451 loss_kernel: 0.0275 loss: 0.0727 2022/08/26 03:55:39 - mmengine - INFO - Epoch(train) [143][20/63] lr: 1.0000e-04 eta: 17:25:33 time: 0.8717 data_time: 0.0272 memory: 25127 loss_text: 0.0429 loss_kernel: 0.0269 loss: 0.0698 2022/08/26 03:55:43 - mmengine - INFO - Epoch(train) [143][25/63] lr: 1.0000e-04 eta: 17:25:33 time: 0.8562 data_time: 0.0284 memory: 25127 loss_text: 0.0392 loss_kernel: 0.0250 loss: 0.0643 2022/08/26 03:55:47 - mmengine - INFO - Epoch(train) [143][30/63] lr: 1.0000e-04 eta: 17:24:29 time: 0.8606 data_time: 0.0290 memory: 25127 loss_text: 0.0403 loss_kernel: 0.0258 loss: 0.0661 2022/08/26 03:55:51 - mmengine - INFO - Epoch(train) [143][35/63] lr: 1.0000e-04 eta: 17:24:29 time: 0.8472 data_time: 0.0306 memory: 25127 loss_text: 0.0399 loss_kernel: 0.0252 loss: 0.0651 2022/08/26 03:55:56 - mmengine - INFO - Epoch(train) [143][40/63] lr: 1.0000e-04 eta: 17:23:25 time: 0.8481 data_time: 0.0292 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0228 loss: 0.0574 2022/08/26 03:56:00 - mmengine - INFO - Epoch(train) [143][45/63] lr: 1.0000e-04 eta: 17:23:25 time: 0.8587 data_time: 0.0251 memory: 25127 loss_text: 0.0369 loss_kernel: 0.0243 loss: 0.0612 2022/08/26 03:56:05 - mmengine - INFO - Epoch(train) [143][50/63] lr: 1.0000e-04 eta: 17:22:23 time: 0.8933 data_time: 0.0268 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0247 loss: 0.0628 2022/08/26 03:56:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:56:09 - mmengine - INFO - Epoch(train) [143][55/63] lr: 1.0000e-04 eta: 17:22:23 time: 0.9054 data_time: 0.0309 memory: 25127 loss_text: 0.0342 loss_kernel: 0.0223 loss: 0.0566 2022/08/26 03:56:13 - mmengine - INFO - Epoch(train) [143][60/63] lr: 1.0000e-04 eta: 17:21:19 time: 0.8743 data_time: 0.0243 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0223 loss: 0.0553 2022/08/26 03:56:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 03:57:44 - mmengine - INFO - Epoch(train) [144][5/63] lr: 1.0000e-04 eta: 17:21:19 time: 9.2237 data_time: 8.4277 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0251 loss: 0.0626 2022/08/26 03:57:48 - mmengine - INFO - Epoch(train) [144][10/63] lr: 1.0000e-04 eta: 17:24:17 time: 9.2779 data_time: 8.4551 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0225 loss: 0.0554 2022/08/26 03:57:53 - mmengine - INFO - Epoch(train) [144][15/63] lr: 1.0000e-04 eta: 17:24:17 time: 0.9164 data_time: 0.0398 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0221 loss: 0.0551 2022/08/26 03:57:57 - mmengine - INFO - Epoch(train) [144][20/63] lr: 1.0000e-04 eta: 17:23:14 time: 0.8917 data_time: 0.0214 memory: 25127 loss_text: 0.0362 loss_kernel: 0.0237 loss: 0.0598 2022/08/26 03:58:02 - mmengine - INFO - Epoch(train) [144][25/63] lr: 1.0000e-04 eta: 17:23:14 time: 0.8511 data_time: 0.0337 memory: 25127 loss_text: 0.0432 loss_kernel: 0.0255 loss: 0.0687 2022/08/26 03:58:06 - mmengine - INFO - Epoch(train) [144][30/63] lr: 1.0000e-04 eta: 17:22:11 time: 0.8808 data_time: 0.0300 memory: 25127 loss_text: 0.0453 loss_kernel: 0.0271 loss: 0.0725 2022/08/26 03:58:10 - mmengine - INFO - Epoch(train) [144][35/63] lr: 1.0000e-04 eta: 17:22:11 time: 0.8858 data_time: 0.0297 memory: 25127 loss_text: 0.0449 loss_kernel: 0.0265 loss: 0.0714 2022/08/26 03:58:15 - mmengine - INFO - Epoch(train) [144][40/63] lr: 1.0000e-04 eta: 17:21:08 time: 0.8537 data_time: 0.0245 memory: 25127 loss_text: 0.0408 loss_kernel: 0.0255 loss: 0.0663 2022/08/26 03:58:19 - mmengine - INFO - Epoch(train) [144][45/63] lr: 1.0000e-04 eta: 17:21:08 time: 0.8612 data_time: 0.0255 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0258 loss: 0.0641 2022/08/26 03:58:24 - mmengine - INFO - Epoch(train) [144][50/63] lr: 1.0000e-04 eta: 17:20:05 time: 0.8792 data_time: 0.0327 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0265 loss: 0.0692 2022/08/26 03:58:28 - mmengine - INFO - Epoch(train) [144][55/63] lr: 1.0000e-04 eta: 17:20:05 time: 0.8652 data_time: 0.0245 memory: 25127 loss_text: 0.0535 loss_kernel: 0.0319 loss: 0.0854 2022/08/26 03:58:32 - mmengine - INFO - Epoch(train) [144][60/63] lr: 1.0000e-04 eta: 17:19:01 time: 0.8476 data_time: 0.0188 memory: 25127 loss_text: 0.0517 loss_kernel: 0.0313 loss: 0.0830 2022/08/26 03:58:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:00:02 - mmengine - INFO - Epoch(train) [145][5/63] lr: 1.0000e-04 eta: 17:19:01 time: 9.1815 data_time: 8.3703 memory: 25127 loss_text: 0.0394 loss_kernel: 0.0262 loss: 0.0656 2022/08/26 04:00:06 - mmengine - INFO - Epoch(train) [145][10/63] lr: 1.0000e-04 eta: 17:21:55 time: 9.1925 data_time: 8.3778 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0238 loss: 0.0579 2022/08/26 04:00:11 - mmengine - INFO - Epoch(train) [145][15/63] lr: 1.0000e-04 eta: 17:21:55 time: 0.8421 data_time: 0.0264 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0254 loss: 0.0665 2022/08/26 04:00:16 - mmengine - INFO - Epoch(train) [145][20/63] lr: 1.0000e-04 eta: 17:20:53 time: 0.9255 data_time: 0.0727 memory: 25127 loss_text: 0.0465 loss_kernel: 0.0280 loss: 0.0745 2022/08/26 04:00:20 - mmengine - INFO - Epoch(train) [145][25/63] lr: 1.0000e-04 eta: 17:20:53 time: 0.9005 data_time: 0.0736 memory: 25127 loss_text: 0.0378 loss_kernel: 0.0246 loss: 0.0624 2022/08/26 04:00:24 - mmengine - INFO - Epoch(train) [145][30/63] lr: 1.0000e-04 eta: 17:19:49 time: 0.8120 data_time: 0.0230 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0224 loss: 0.0556 2022/08/26 04:00:28 - mmengine - INFO - Epoch(train) [145][35/63] lr: 1.0000e-04 eta: 17:19:49 time: 0.8157 data_time: 0.0222 memory: 25127 loss_text: 0.0434 loss_kernel: 0.0269 loss: 0.0702 2022/08/26 04:00:32 - mmengine - INFO - Epoch(train) [145][40/63] lr: 1.0000e-04 eta: 17:18:45 time: 0.8553 data_time: 0.0285 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0262 loss: 0.0687 2022/08/26 04:00:37 - mmengine - INFO - Epoch(train) [145][45/63] lr: 1.0000e-04 eta: 17:18:45 time: 0.8723 data_time: 0.0359 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0220 loss: 0.0555 2022/08/26 04:00:41 - mmengine - INFO - Epoch(train) [145][50/63] lr: 1.0000e-04 eta: 17:17:42 time: 0.8380 data_time: 0.0274 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0241 loss: 0.0615 2022/08/26 04:00:45 - mmengine - INFO - Epoch(train) [145][55/63] lr: 1.0000e-04 eta: 17:17:42 time: 0.8846 data_time: 0.0328 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0249 loss: 0.0644 2022/08/26 04:00:50 - mmengine - INFO - Epoch(train) [145][60/63] lr: 1.0000e-04 eta: 17:16:40 time: 0.8828 data_time: 0.0330 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0224 loss: 0.0577 2022/08/26 04:00:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:02:19 - mmengine - INFO - Epoch(train) [146][5/63] lr: 1.0000e-04 eta: 17:16:40 time: 9.1458 data_time: 8.3092 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0225 loss: 0.0579 2022/08/26 04:02:24 - mmengine - INFO - Epoch(train) [146][10/63] lr: 1.0000e-04 eta: 17:19:30 time: 9.1731 data_time: 8.3366 memory: 25127 loss_text: 0.0362 loss_kernel: 0.0236 loss: 0.0598 2022/08/26 04:02:29 - mmengine - INFO - Epoch(train) [146][15/63] lr: 1.0000e-04 eta: 17:19:30 time: 0.9379 data_time: 0.0495 memory: 25127 loss_text: 0.0459 loss_kernel: 0.0281 loss: 0.0740 2022/08/26 04:02:33 - mmengine - INFO - Epoch(train) [146][20/63] lr: 1.0000e-04 eta: 17:18:29 time: 0.9199 data_time: 0.0275 memory: 25127 loss_text: 0.0438 loss_kernel: 0.0268 loss: 0.0706 2022/08/26 04:02:37 - mmengine - INFO - Epoch(train) [146][25/63] lr: 1.0000e-04 eta: 17:18:29 time: 0.8499 data_time: 0.0324 memory: 25127 loss_text: 0.0362 loss_kernel: 0.0229 loss: 0.0591 2022/08/26 04:02:42 - mmengine - INFO - Epoch(train) [146][30/63] lr: 1.0000e-04 eta: 17:17:26 time: 0.8472 data_time: 0.0256 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0238 loss: 0.0614 2022/08/26 04:02:46 - mmengine - INFO - Epoch(train) [146][35/63] lr: 1.0000e-04 eta: 17:17:26 time: 0.8473 data_time: 0.0273 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0217 loss: 0.0538 2022/08/26 04:02:50 - mmengine - INFO - Epoch(train) [146][40/63] lr: 1.0000e-04 eta: 17:16:23 time: 0.8509 data_time: 0.0274 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0209 loss: 0.0516 2022/08/26 04:02:55 - mmengine - INFO - Epoch(train) [146][45/63] lr: 1.0000e-04 eta: 17:16:23 time: 0.8703 data_time: 0.0312 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0208 loss: 0.0526 2022/08/26 04:02:59 - mmengine - INFO - Epoch(train) [146][50/63] lr: 1.0000e-04 eta: 17:15:21 time: 0.8695 data_time: 0.0326 memory: 25127 loss_text: 0.0317 loss_kernel: 0.0217 loss: 0.0534 2022/08/26 04:03:03 - mmengine - INFO - Epoch(train) [146][55/63] lr: 1.0000e-04 eta: 17:15:21 time: 0.8623 data_time: 0.0272 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0242 loss: 0.0563 2022/08/26 04:03:07 - mmengine - INFO - Epoch(train) [146][60/63] lr: 1.0000e-04 eta: 17:14:18 time: 0.8593 data_time: 0.0303 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0252 loss: 0.0628 2022/08/26 04:03:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:04:37 - mmengine - INFO - Epoch(train) [147][5/63] lr: 1.0000e-04 eta: 17:14:18 time: 9.1265 data_time: 8.3368 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0210 loss: 0.0516 2022/08/26 04:04:42 - mmengine - INFO - Epoch(train) [147][10/63] lr: 1.0000e-04 eta: 17:17:09 time: 9.2154 data_time: 8.3581 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0224 loss: 0.0574 2022/08/26 04:04:47 - mmengine - INFO - Epoch(train) [147][15/63] lr: 1.0000e-04 eta: 17:17:09 time: 0.9465 data_time: 0.0445 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0260 loss: 0.0685 2022/08/26 04:04:51 - mmengine - INFO - Epoch(train) [147][20/63] lr: 1.0000e-04 eta: 17:16:08 time: 0.9134 data_time: 0.0362 memory: 25127 loss_text: 0.0379 loss_kernel: 0.0251 loss: 0.0630 2022/08/26 04:04:55 - mmengine - INFO - Epoch(train) [147][25/63] lr: 1.0000e-04 eta: 17:16:08 time: 0.8739 data_time: 0.0415 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0220 loss: 0.0516 2022/08/26 04:05:00 - mmengine - INFO - Epoch(train) [147][30/63] lr: 1.0000e-04 eta: 17:15:06 time: 0.8794 data_time: 0.0296 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0203 loss: 0.0490 2022/08/26 04:05:04 - mmengine - INFO - Epoch(train) [147][35/63] lr: 1.0000e-04 eta: 17:15:06 time: 0.8714 data_time: 0.0280 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0201 loss: 0.0513 2022/08/26 04:05:08 - mmengine - INFO - Epoch(train) [147][40/63] lr: 1.0000e-04 eta: 17:14:04 time: 0.8848 data_time: 0.0284 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0214 loss: 0.0538 2022/08/26 04:05:13 - mmengine - INFO - Epoch(train) [147][45/63] lr: 1.0000e-04 eta: 17:14:04 time: 0.8943 data_time: 0.0255 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0237 loss: 0.0582 2022/08/26 04:05:17 - mmengine - INFO - Epoch(train) [147][50/63] lr: 1.0000e-04 eta: 17:13:03 time: 0.8858 data_time: 0.0285 memory: 25127 loss_text: 0.0336 loss_kernel: 0.0228 loss: 0.0564 2022/08/26 04:05:22 - mmengine - INFO - Epoch(train) [147][55/63] lr: 1.0000e-04 eta: 17:13:03 time: 0.8689 data_time: 0.0298 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0232 loss: 0.0592 2022/08/26 04:05:26 - mmengine - INFO - Epoch(train) [147][60/63] lr: 1.0000e-04 eta: 17:12:00 time: 0.8507 data_time: 0.0331 memory: 25127 loss_text: 0.0449 loss_kernel: 0.0271 loss: 0.0720 2022/08/26 04:05:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:06:55 - mmengine - INFO - Epoch(train) [148][5/63] lr: 1.0000e-04 eta: 17:12:00 time: 9.0548 data_time: 8.2686 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0230 loss: 0.0585 2022/08/26 04:06:59 - mmengine - INFO - Epoch(train) [148][10/63] lr: 1.0000e-04 eta: 17:14:45 time: 9.0929 data_time: 8.2779 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0212 loss: 0.0521 2022/08/26 04:07:03 - mmengine - INFO - Epoch(train) [148][15/63] lr: 1.0000e-04 eta: 17:14:45 time: 0.8579 data_time: 0.0323 memory: 25127 loss_text: 0.0303 loss_kernel: 0.0206 loss: 0.0509 2022/08/26 04:07:08 - mmengine - INFO - Epoch(train) [148][20/63] lr: 1.0000e-04 eta: 17:13:43 time: 0.8724 data_time: 0.0380 memory: 25127 loss_text: 0.0303 loss_kernel: 0.0209 loss: 0.0512 2022/08/26 04:07:12 - mmengine - INFO - Epoch(train) [148][25/63] lr: 1.0000e-04 eta: 17:13:43 time: 0.8280 data_time: 0.0343 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0231 loss: 0.0575 2022/08/26 04:07:16 - mmengine - INFO - Epoch(train) [148][30/63] lr: 1.0000e-04 eta: 17:12:40 time: 0.8092 data_time: 0.0274 memory: 25127 loss_text: 0.0416 loss_kernel: 0.0254 loss: 0.0670 2022/08/26 04:07:20 - mmengine - INFO - Epoch(train) [148][35/63] lr: 1.0000e-04 eta: 17:12:40 time: 0.8713 data_time: 0.0505 memory: 25127 loss_text: 0.0377 loss_kernel: 0.0239 loss: 0.0616 2022/08/26 04:07:24 - mmengine - INFO - Epoch(train) [148][40/63] lr: 1.0000e-04 eta: 17:11:38 time: 0.8641 data_time: 0.0426 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0221 loss: 0.0534 2022/08/26 04:07:28 - mmengine - INFO - Epoch(train) [148][45/63] lr: 1.0000e-04 eta: 17:11:38 time: 0.8065 data_time: 0.0238 memory: 25127 loss_text: 0.0336 loss_kernel: 0.0224 loss: 0.0560 2022/08/26 04:07:33 - mmengine - INFO - Epoch(train) [148][50/63] lr: 1.0000e-04 eta: 17:10:36 time: 0.8539 data_time: 0.0252 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0220 loss: 0.0557 2022/08/26 04:07:37 - mmengine - INFO - Epoch(train) [148][55/63] lr: 1.0000e-04 eta: 17:10:36 time: 0.8595 data_time: 0.0284 memory: 25127 loss_text: 0.0325 loss_kernel: 0.0218 loss: 0.0544 2022/08/26 04:07:41 - mmengine - INFO - Epoch(train) [148][60/63] lr: 1.0000e-04 eta: 17:09:33 time: 0.8331 data_time: 0.0284 memory: 25127 loss_text: 0.0327 loss_kernel: 0.0221 loss: 0.0547 2022/08/26 04:07:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:09:10 - mmengine - INFO - Epoch(train) [149][5/63] lr: 1.0000e-04 eta: 17:09:33 time: 9.0474 data_time: 8.2577 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0236 loss: 0.0581 2022/08/26 04:09:15 - mmengine - INFO - Epoch(train) [149][10/63] lr: 1.0000e-04 eta: 17:12:16 time: 9.0952 data_time: 8.2652 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0245 loss: 0.0620 2022/08/26 04:09:19 - mmengine - INFO - Epoch(train) [149][15/63] lr: 1.0000e-04 eta: 17:12:16 time: 0.8976 data_time: 0.0350 memory: 25127 loss_text: 0.0458 loss_kernel: 0.0285 loss: 0.0743 2022/08/26 04:09:23 - mmengine - INFO - Epoch(train) [149][20/63] lr: 1.0000e-04 eta: 17:11:15 time: 0.8795 data_time: 0.0203 memory: 25127 loss_text: 0.0432 loss_kernel: 0.0271 loss: 0.0703 2022/08/26 04:09:28 - mmengine - INFO - Epoch(train) [149][25/63] lr: 1.0000e-04 eta: 17:11:15 time: 0.8386 data_time: 0.0277 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0215 loss: 0.0543 2022/08/26 04:09:32 - mmengine - INFO - Epoch(train) [149][30/63] lr: 1.0000e-04 eta: 17:10:14 time: 0.8762 data_time: 0.0311 memory: 25127 loss_text: 0.0347 loss_kernel: 0.0231 loss: 0.0578 2022/08/26 04:09:36 - mmengine - INFO - Epoch(train) [149][35/63] lr: 1.0000e-04 eta: 17:10:14 time: 0.8646 data_time: 0.0354 memory: 25127 loss_text: 0.0362 loss_kernel: 0.0234 loss: 0.0596 2022/08/26 04:09:40 - mmengine - INFO - Epoch(train) [149][40/63] lr: 1.0000e-04 eta: 17:09:11 time: 0.8267 data_time: 0.0245 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0220 loss: 0.0549 2022/08/26 04:09:45 - mmengine - INFO - Epoch(train) [149][45/63] lr: 1.0000e-04 eta: 17:09:11 time: 0.8428 data_time: 0.0241 memory: 25127 loss_text: 0.0320 loss_kernel: 0.0220 loss: 0.0540 2022/08/26 04:09:49 - mmengine - INFO - Epoch(train) [149][50/63] lr: 1.0000e-04 eta: 17:08:10 time: 0.8597 data_time: 0.0343 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0215 loss: 0.0524 2022/08/26 04:09:53 - mmengine - INFO - Epoch(train) [149][55/63] lr: 1.0000e-04 eta: 17:08:10 time: 0.8625 data_time: 0.0280 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0234 loss: 0.0576 2022/08/26 04:09:57 - mmengine - INFO - Epoch(train) [149][60/63] lr: 1.0000e-04 eta: 17:07:08 time: 0.8444 data_time: 0.0206 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0236 loss: 0.0584 2022/08/26 04:10:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:11:27 - mmengine - INFO - Epoch(train) [150][5/63] lr: 1.0000e-04 eta: 17:07:08 time: 9.0947 data_time: 8.2688 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0225 loss: 0.0540 2022/08/26 04:11:31 - mmengine - INFO - Epoch(train) [150][10/63] lr: 1.0000e-04 eta: 17:09:51 time: 9.1575 data_time: 8.2962 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0222 loss: 0.0575 2022/08/26 04:11:35 - mmengine - INFO - Epoch(train) [150][15/63] lr: 1.0000e-04 eta: 17:09:51 time: 0.8653 data_time: 0.0433 memory: 25127 loss_text: 0.0382 loss_kernel: 0.0237 loss: 0.0620 2022/08/26 04:11:40 - mmengine - INFO - Epoch(train) [150][20/63] lr: 1.0000e-04 eta: 17:08:50 time: 0.8634 data_time: 0.0266 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0242 loss: 0.0613 2022/08/26 04:11:44 - mmengine - INFO - Epoch(train) [150][25/63] lr: 1.0000e-04 eta: 17:08:50 time: 0.8751 data_time: 0.0333 memory: 25127 loss_text: 0.0327 loss_kernel: 0.0221 loss: 0.0548 2022/08/26 04:11:49 - mmengine - INFO - Epoch(train) [150][30/63] lr: 1.0000e-04 eta: 17:07:49 time: 0.8664 data_time: 0.0262 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0207 loss: 0.0494 2022/08/26 04:11:53 - mmengine - INFO - Epoch(train) [150][35/63] lr: 1.0000e-04 eta: 17:07:49 time: 0.8623 data_time: 0.0283 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0217 loss: 0.0522 2022/08/26 04:11:57 - mmengine - INFO - Epoch(train) [150][40/63] lr: 1.0000e-04 eta: 17:06:47 time: 0.8541 data_time: 0.0295 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0209 loss: 0.0526 2022/08/26 04:12:01 - mmengine - INFO - Epoch(train) [150][45/63] lr: 1.0000e-04 eta: 17:06:47 time: 0.8459 data_time: 0.0264 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0208 loss: 0.0526 2022/08/26 04:12:06 - mmengine - INFO - Epoch(train) [150][50/63] lr: 1.0000e-04 eta: 17:05:46 time: 0.8636 data_time: 0.0316 memory: 25127 loss_text: 0.0363 loss_kernel: 0.0237 loss: 0.0600 2022/08/26 04:12:10 - mmengine - INFO - Epoch(train) [150][55/63] lr: 1.0000e-04 eta: 17:05:46 time: 0.8635 data_time: 0.0259 memory: 25127 loss_text: 0.0399 loss_kernel: 0.0251 loss: 0.0650 2022/08/26 04:12:15 - mmengine - INFO - Epoch(train) [150][60/63] lr: 1.0000e-04 eta: 17:04:46 time: 0.8809 data_time: 0.0217 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0223 loss: 0.0567 2022/08/26 04:12:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:13:44 - mmengine - INFO - Epoch(train) [151][5/63] lr: 1.0000e-04 eta: 17:04:46 time: 9.0858 data_time: 8.2531 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0222 loss: 0.0530 2022/08/26 04:13:48 - mmengine - INFO - Epoch(train) [151][10/63] lr: 1.0000e-04 eta: 17:07:25 time: 9.0644 data_time: 8.2638 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0227 loss: 0.0529 2022/08/26 04:13:52 - mmengine - INFO - Epoch(train) [151][15/63] lr: 1.0000e-04 eta: 17:07:25 time: 0.8703 data_time: 0.0316 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0259 loss: 0.0666 2022/08/26 04:13:57 - mmengine - INFO - Epoch(train) [151][20/63] lr: 1.0000e-04 eta: 17:06:26 time: 0.9277 data_time: 0.0274 memory: 25127 loss_text: 0.0470 loss_kernel: 0.0284 loss: 0.0753 2022/08/26 04:14:01 - mmengine - INFO - Epoch(train) [151][25/63] lr: 1.0000e-04 eta: 17:06:26 time: 0.8820 data_time: 0.0326 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0253 loss: 0.0666 2022/08/26 04:14:05 - mmengine - INFO - Epoch(train) [151][30/63] lr: 1.0000e-04 eta: 17:05:24 time: 0.8373 data_time: 0.0323 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0243 loss: 0.0623 2022/08/26 04:14:10 - mmengine - INFO - Epoch(train) [151][35/63] lr: 1.0000e-04 eta: 17:05:24 time: 0.8970 data_time: 0.0293 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0229 loss: 0.0567 2022/08/26 04:14:14 - mmengine - INFO - Epoch(train) [151][40/63] lr: 1.0000e-04 eta: 17:04:25 time: 0.9022 data_time: 0.0277 memory: 25127 loss_text: 0.0303 loss_kernel: 0.0216 loss: 0.0519 2022/08/26 04:14:18 - mmengine - INFO - Epoch(train) [151][45/63] lr: 1.0000e-04 eta: 17:04:25 time: 0.8327 data_time: 0.0320 memory: 25127 loss_text: 0.0303 loss_kernel: 0.0221 loss: 0.0524 2022/08/26 04:14:23 - mmengine - INFO - Epoch(train) [151][50/63] lr: 1.0000e-04 eta: 17:03:24 time: 0.8756 data_time: 0.0269 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0236 loss: 0.0582 2022/08/26 04:14:27 - mmengine - INFO - Epoch(train) [151][55/63] lr: 1.0000e-04 eta: 17:03:24 time: 0.8871 data_time: 0.0233 memory: 25127 loss_text: 0.0364 loss_kernel: 0.0236 loss: 0.0600 2022/08/26 04:14:31 - mmengine - INFO - Epoch(train) [151][60/63] lr: 1.0000e-04 eta: 17:02:23 time: 0.8323 data_time: 0.0243 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0233 loss: 0.0593 2022/08/26 04:14:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:16:02 - mmengine - INFO - Epoch(train) [152][5/63] lr: 1.0000e-04 eta: 17:02:23 time: 9.2255 data_time: 8.3684 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0215 loss: 0.0534 2022/08/26 04:16:06 - mmengine - INFO - Epoch(train) [152][10/63] lr: 1.0000e-04 eta: 17:05:05 time: 9.2349 data_time: 8.3794 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0204 loss: 0.0504 2022/08/26 04:16:11 - mmengine - INFO - Epoch(train) [152][15/63] lr: 1.0000e-04 eta: 17:05:05 time: 0.8695 data_time: 0.0377 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0211 loss: 0.0512 2022/08/26 04:16:15 - mmengine - INFO - Epoch(train) [152][20/63] lr: 1.0000e-04 eta: 17:04:05 time: 0.8666 data_time: 0.0462 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0206 loss: 0.0514 2022/08/26 04:16:19 - mmengine - INFO - Epoch(train) [152][25/63] lr: 1.0000e-04 eta: 17:04:05 time: 0.8505 data_time: 0.0337 memory: 25127 loss_text: 0.0326 loss_kernel: 0.0208 loss: 0.0534 2022/08/26 04:16:24 - mmengine - INFO - Epoch(train) [152][30/63] lr: 1.0000e-04 eta: 17:03:04 time: 0.8601 data_time: 0.0261 memory: 25127 loss_text: 0.0358 loss_kernel: 0.0233 loss: 0.0591 2022/08/26 04:16:28 - mmengine - INFO - Epoch(train) [152][35/63] lr: 1.0000e-04 eta: 17:03:04 time: 0.8709 data_time: 0.0308 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0228 loss: 0.0571 2022/08/26 04:16:33 - mmengine - INFO - Epoch(train) [152][40/63] lr: 1.0000e-04 eta: 17:02:05 time: 0.8990 data_time: 0.0259 memory: 25127 loss_text: 0.0334 loss_kernel: 0.0222 loss: 0.0556 2022/08/26 04:16:37 - mmengine - INFO - Epoch(train) [152][45/63] lr: 1.0000e-04 eta: 17:02:05 time: 0.8891 data_time: 0.0347 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0226 loss: 0.0570 2022/08/26 04:16:41 - mmengine - INFO - Epoch(train) [152][50/63] lr: 1.0000e-04 eta: 17:01:03 time: 0.8333 data_time: 0.0307 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0221 loss: 0.0544 2022/08/26 04:16:45 - mmengine - INFO - Epoch(train) [152][55/63] lr: 1.0000e-04 eta: 17:01:03 time: 0.8305 data_time: 0.0234 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0223 loss: 0.0533 2022/08/26 04:16:49 - mmengine - INFO - Epoch(train) [152][60/63] lr: 1.0000e-04 eta: 17:00:02 time: 0.8205 data_time: 0.0230 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0235 loss: 0.0572 2022/08/26 04:16:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:18:19 - mmengine - INFO - Epoch(train) [153][5/63] lr: 1.0000e-04 eta: 17:00:02 time: 9.1586 data_time: 8.3814 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0202 loss: 0.0488 2022/08/26 04:18:24 - mmengine - INFO - Epoch(train) [153][10/63] lr: 1.0000e-04 eta: 17:02:42 time: 9.2293 data_time: 8.4001 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0219 loss: 0.0559 2022/08/26 04:18:28 - mmengine - INFO - Epoch(train) [153][15/63] lr: 1.0000e-04 eta: 17:02:42 time: 0.8891 data_time: 0.0308 memory: 25127 loss_text: 0.0365 loss_kernel: 0.0241 loss: 0.0607 2022/08/26 04:18:33 - mmengine - INFO - Epoch(train) [153][20/63] lr: 1.0000e-04 eta: 17:01:43 time: 0.8989 data_time: 0.0237 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0239 loss: 0.0587 2022/08/26 04:18:37 - mmengine - INFO - Epoch(train) [153][25/63] lr: 1.0000e-04 eta: 17:01:43 time: 0.8883 data_time: 0.0366 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0220 loss: 0.0556 2022/08/26 04:18:42 - mmengine - INFO - Epoch(train) [153][30/63] lr: 1.0000e-04 eta: 17:00:44 time: 0.8986 data_time: 0.0359 memory: 25127 loss_text: 0.0349 loss_kernel: 0.0225 loss: 0.0574 2022/08/26 04:18:46 - mmengine - INFO - Epoch(train) [153][35/63] lr: 1.0000e-04 eta: 17:00:44 time: 0.9050 data_time: 0.0370 memory: 25127 loss_text: 0.0365 loss_kernel: 0.0234 loss: 0.0598 2022/08/26 04:18:51 - mmengine - INFO - Epoch(train) [153][40/63] lr: 1.0000e-04 eta: 16:59:45 time: 0.8929 data_time: 0.0322 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0217 loss: 0.0546 2022/08/26 04:18:55 - mmengine - INFO - Epoch(train) [153][45/63] lr: 1.0000e-04 eta: 16:59:45 time: 0.8873 data_time: 0.0308 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0218 loss: 0.0523 2022/08/26 04:18:59 - mmengine - INFO - Epoch(train) [153][50/63] lr: 1.0000e-04 eta: 16:58:45 time: 0.8733 data_time: 0.0345 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0207 loss: 0.0497 2022/08/26 04:19:04 - mmengine - INFO - Epoch(train) [153][55/63] lr: 1.0000e-04 eta: 16:58:45 time: 0.8540 data_time: 0.0261 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0203 loss: 0.0508 2022/08/26 04:19:08 - mmengine - INFO - Epoch(train) [153][60/63] lr: 1.0000e-04 eta: 16:57:45 time: 0.8673 data_time: 0.0220 memory: 25127 loss_text: 0.0315 loss_kernel: 0.0218 loss: 0.0533 2022/08/26 04:19:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:20:38 - mmengine - INFO - Epoch(train) [154][5/63] lr: 1.0000e-04 eta: 16:57:45 time: 9.1260 data_time: 8.3363 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0244 loss: 0.0609 2022/08/26 04:20:42 - mmengine - INFO - Epoch(train) [154][10/63] lr: 1.0000e-04 eta: 17:00:22 time: 9.1526 data_time: 8.3480 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0256 loss: 0.0629 2022/08/26 04:20:46 - mmengine - INFO - Epoch(train) [154][15/63] lr: 1.0000e-04 eta: 17:00:22 time: 0.8303 data_time: 0.0318 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0222 loss: 0.0530 2022/08/26 04:20:50 - mmengine - INFO - Epoch(train) [154][20/63] lr: 1.0000e-04 eta: 16:59:21 time: 0.8241 data_time: 0.0264 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0206 loss: 0.0505 2022/08/26 04:20:55 - mmengine - INFO - Epoch(train) [154][25/63] lr: 1.0000e-04 eta: 16:59:21 time: 0.8597 data_time: 0.0359 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0198 loss: 0.0490 2022/08/26 04:20:59 - mmengine - INFO - Epoch(train) [154][30/63] lr: 1.0000e-04 eta: 16:58:21 time: 0.8630 data_time: 0.0367 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0201 loss: 0.0493 2022/08/26 04:21:03 - mmengine - INFO - Epoch(train) [154][35/63] lr: 1.0000e-04 eta: 16:58:21 time: 0.8740 data_time: 0.0230 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0216 loss: 0.0517 2022/08/26 04:21:08 - mmengine - INFO - Epoch(train) [154][40/63] lr: 1.0000e-04 eta: 16:57:22 time: 0.8832 data_time: 0.0284 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0225 loss: 0.0565 2022/08/26 04:21:12 - mmengine - INFO - Epoch(train) [154][45/63] lr: 1.0000e-04 eta: 16:57:22 time: 0.8643 data_time: 0.0345 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0218 loss: 0.0563 2022/08/26 04:21:17 - mmengine - INFO - Epoch(train) [154][50/63] lr: 1.0000e-04 eta: 16:56:23 time: 0.9001 data_time: 0.0283 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0213 loss: 0.0518 2022/08/26 04:21:21 - mmengine - INFO - Epoch(train) [154][55/63] lr: 1.0000e-04 eta: 16:56:23 time: 0.8804 data_time: 0.0241 memory: 25127 loss_text: 0.0336 loss_kernel: 0.0232 loss: 0.0569 2022/08/26 04:21:25 - mmengine - INFO - Epoch(train) [154][60/63] lr: 1.0000e-04 eta: 16:55:24 time: 0.8841 data_time: 0.0240 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0229 loss: 0.0571 2022/08/26 04:21:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:22:56 - mmengine - INFO - Epoch(train) [155][5/63] lr: 1.0000e-04 eta: 16:55:24 time: 9.2817 data_time: 8.4625 memory: 25127 loss_text: 0.0400 loss_kernel: 0.0248 loss: 0.0648 2022/08/26 04:23:01 - mmengine - INFO - Epoch(train) [155][10/63] lr: 1.0000e-04 eta: 16:58:04 time: 9.3148 data_time: 8.4824 memory: 25127 loss_text: 0.0328 loss_kernel: 0.0212 loss: 0.0540 2022/08/26 04:23:05 - mmengine - INFO - Epoch(train) [155][15/63] lr: 1.0000e-04 eta: 16:58:04 time: 0.8851 data_time: 0.0338 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0223 loss: 0.0573 2022/08/26 04:23:09 - mmengine - INFO - Epoch(train) [155][20/63] lr: 1.0000e-04 eta: 16:57:05 time: 0.8756 data_time: 0.0209 memory: 25127 loss_text: 0.0359 loss_kernel: 0.0227 loss: 0.0585 2022/08/26 04:23:14 - mmengine - INFO - Epoch(train) [155][25/63] lr: 1.0000e-04 eta: 16:57:05 time: 0.9102 data_time: 0.0361 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0226 loss: 0.0580 2022/08/26 04:23:19 - mmengine - INFO - Epoch(train) [155][30/63] lr: 1.0000e-04 eta: 16:56:06 time: 0.9073 data_time: 0.0267 memory: 25127 loss_text: 0.0376 loss_kernel: 0.0239 loss: 0.0615 2022/08/26 04:23:23 - mmengine - INFO - Epoch(train) [155][35/63] lr: 1.0000e-04 eta: 16:56:06 time: 0.8396 data_time: 0.0209 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0221 loss: 0.0553 2022/08/26 04:23:27 - mmengine - INFO - Epoch(train) [155][40/63] lr: 1.0000e-04 eta: 16:55:06 time: 0.8387 data_time: 0.0307 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0204 loss: 0.0501 2022/08/26 04:23:31 - mmengine - INFO - Epoch(train) [155][45/63] lr: 1.0000e-04 eta: 16:55:06 time: 0.8211 data_time: 0.0268 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0223 loss: 0.0567 2022/08/26 04:23:35 - mmengine - INFO - Epoch(train) [155][50/63] lr: 1.0000e-04 eta: 16:54:06 time: 0.8407 data_time: 0.0297 memory: 25127 loss_text: 0.0349 loss_kernel: 0.0221 loss: 0.0571 2022/08/26 04:23:39 - mmengine - INFO - Epoch(train) [155][55/63] lr: 1.0000e-04 eta: 16:54:06 time: 0.8533 data_time: 0.0296 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0199 loss: 0.0494 2022/08/26 04:23:44 - mmengine - INFO - Epoch(train) [155][60/63] lr: 1.0000e-04 eta: 16:53:08 time: 0.8789 data_time: 0.0216 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0205 loss: 0.0491 2022/08/26 04:23:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:25:17 - mmengine - INFO - Epoch(train) [156][5/63] lr: 1.0000e-04 eta: 16:53:08 time: 9.5211 data_time: 8.6784 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0219 loss: 0.0512 2022/08/26 04:25:22 - mmengine - INFO - Epoch(train) [156][10/63] lr: 1.0000e-04 eta: 16:55:53 time: 9.5603 data_time: 8.7167 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0203 loss: 0.0491 2022/08/26 04:25:26 - mmengine - INFO - Epoch(train) [156][15/63] lr: 1.0000e-04 eta: 16:55:53 time: 0.8783 data_time: 0.0508 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0210 loss: 0.0510 2022/08/26 04:25:30 - mmengine - INFO - Epoch(train) [156][20/63] lr: 1.0000e-04 eta: 16:54:53 time: 0.8425 data_time: 0.0222 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0219 loss: 0.0544 2022/08/26 04:25:35 - mmengine - INFO - Epoch(train) [156][25/63] lr: 1.0000e-04 eta: 16:54:53 time: 0.8543 data_time: 0.0373 memory: 25127 loss_text: 0.0404 loss_kernel: 0.0248 loss: 0.0652 2022/08/26 04:25:39 - mmengine - INFO - Epoch(train) [156][30/63] lr: 1.0000e-04 eta: 16:53:53 time: 0.8551 data_time: 0.0246 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0237 loss: 0.0620 2022/08/26 04:25:43 - mmengine - INFO - Epoch(train) [156][35/63] lr: 1.0000e-04 eta: 16:53:53 time: 0.8542 data_time: 0.0224 memory: 25127 loss_text: 0.0311 loss_kernel: 0.0207 loss: 0.0519 2022/08/26 04:25:48 - mmengine - INFO - Epoch(train) [156][40/63] lr: 1.0000e-04 eta: 16:52:54 time: 0.8686 data_time: 0.0268 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0224 loss: 0.0564 2022/08/26 04:25:52 - mmengine - INFO - Epoch(train) [156][45/63] lr: 1.0000e-04 eta: 16:52:54 time: 0.8770 data_time: 0.0256 memory: 25127 loss_text: 0.0379 loss_kernel: 0.0240 loss: 0.0619 2022/08/26 04:25:56 - mmengine - INFO - Epoch(train) [156][50/63] lr: 1.0000e-04 eta: 16:51:56 time: 0.8683 data_time: 0.0325 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0246 loss: 0.0630 2022/08/26 04:26:01 - mmengine - INFO - Epoch(train) [156][55/63] lr: 1.0000e-04 eta: 16:51:56 time: 0.8627 data_time: 0.0287 memory: 25127 loss_text: 0.0376 loss_kernel: 0.0238 loss: 0.0614 2022/08/26 04:26:05 - mmengine - INFO - Epoch(train) [156][60/63] lr: 1.0000e-04 eta: 16:50:56 time: 0.8517 data_time: 0.0223 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0209 loss: 0.0544 2022/08/26 04:26:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:27:35 - mmengine - INFO - Epoch(train) [157][5/63] lr: 1.0000e-04 eta: 16:50:56 time: 9.1787 data_time: 8.3909 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0211 loss: 0.0531 2022/08/26 04:27:39 - mmengine - INFO - Epoch(train) [157][10/63] lr: 1.0000e-04 eta: 16:53:30 time: 9.2263 data_time: 8.4171 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0215 loss: 0.0520 2022/08/26 04:27:45 - mmengine - INFO - Epoch(train) [157][15/63] lr: 1.0000e-04 eta: 16:53:30 time: 0.9572 data_time: 0.0358 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0207 loss: 0.0488 2022/08/26 04:27:49 - mmengine - INFO - Epoch(train) [157][20/63] lr: 1.0000e-04 eta: 16:52:34 time: 0.9569 data_time: 0.0233 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0196 loss: 0.0480 2022/08/26 04:27:53 - mmengine - INFO - Epoch(train) [157][25/63] lr: 1.0000e-04 eta: 16:52:34 time: 0.8415 data_time: 0.0346 memory: 25127 loss_text: 0.0339 loss_kernel: 0.0221 loss: 0.0560 2022/08/26 04:27:57 - mmengine - INFO - Epoch(train) [157][30/63] lr: 1.0000e-04 eta: 16:51:35 time: 0.8464 data_time: 0.0279 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0241 loss: 0.0625 2022/08/26 04:28:02 - mmengine - INFO - Epoch(train) [157][35/63] lr: 1.0000e-04 eta: 16:51:35 time: 0.8755 data_time: 0.0469 memory: 25127 loss_text: 0.0367 loss_kernel: 0.0233 loss: 0.0599 2022/08/26 04:28:06 - mmengine - INFO - Epoch(train) [157][40/63] lr: 1.0000e-04 eta: 16:50:36 time: 0.8768 data_time: 0.0412 memory: 25127 loss_text: 0.0407 loss_kernel: 0.0252 loss: 0.0659 2022/08/26 04:28:11 - mmengine - INFO - Epoch(train) [157][45/63] lr: 1.0000e-04 eta: 16:50:36 time: 0.8667 data_time: 0.0235 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0234 loss: 0.0587 2022/08/26 04:28:15 - mmengine - INFO - Epoch(train) [157][50/63] lr: 1.0000e-04 eta: 16:49:38 time: 0.8748 data_time: 0.0409 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0225 loss: 0.0570 2022/08/26 04:28:19 - mmengine - INFO - Epoch(train) [157][55/63] lr: 1.0000e-04 eta: 16:49:38 time: 0.8602 data_time: 0.0336 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0231 loss: 0.0580 2022/08/26 04:28:24 - mmengine - INFO - Epoch(train) [157][60/63] lr: 1.0000e-04 eta: 16:48:40 time: 0.8772 data_time: 0.0207 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0205 loss: 0.0491 2022/08/26 04:28:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:29:53 - mmengine - INFO - Epoch(train) [158][5/63] lr: 1.0000e-04 eta: 16:48:40 time: 9.0968 data_time: 8.2768 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0217 loss: 0.0531 2022/08/26 04:29:57 - mmengine - INFO - Epoch(train) [158][10/63] lr: 1.0000e-04 eta: 16:51:08 time: 9.0987 data_time: 8.2900 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0215 loss: 0.0538 2022/08/26 04:30:01 - mmengine - INFO - Epoch(train) [158][15/63] lr: 1.0000e-04 eta: 16:51:08 time: 0.8111 data_time: 0.0335 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0220 loss: 0.0543 2022/08/26 04:30:06 - mmengine - INFO - Epoch(train) [158][20/63] lr: 1.0000e-04 eta: 16:50:11 time: 0.9104 data_time: 0.0373 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0227 loss: 0.0537 2022/08/26 04:30:10 - mmengine - INFO - Epoch(train) [158][25/63] lr: 1.0000e-04 eta: 16:50:11 time: 0.9207 data_time: 0.0389 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0236 loss: 0.0582 2022/08/26 04:30:14 - mmengine - INFO - Epoch(train) [158][30/63] lr: 1.0000e-04 eta: 16:49:11 time: 0.8242 data_time: 0.0284 memory: 25127 loss_text: 0.0342 loss_kernel: 0.0223 loss: 0.0564 2022/08/26 04:30:18 - mmengine - INFO - Epoch(train) [158][35/63] lr: 1.0000e-04 eta: 16:49:11 time: 0.8289 data_time: 0.0295 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0202 loss: 0.0503 2022/08/26 04:30:23 - mmengine - INFO - Epoch(train) [158][40/63] lr: 1.0000e-04 eta: 16:48:12 time: 0.8312 data_time: 0.0324 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0191 loss: 0.0470 2022/08/26 04:30:27 - mmengine - INFO - Epoch(train) [158][45/63] lr: 1.0000e-04 eta: 16:48:12 time: 0.8976 data_time: 0.0300 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0204 loss: 0.0491 2022/08/26 04:30:32 - mmengine - INFO - Epoch(train) [158][50/63] lr: 1.0000e-04 eta: 16:47:15 time: 0.9004 data_time: 0.0265 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0230 loss: 0.0574 2022/08/26 04:30:36 - mmengine - INFO - Epoch(train) [158][55/63] lr: 1.0000e-04 eta: 16:47:15 time: 0.9016 data_time: 0.0394 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0214 loss: 0.0538 2022/08/26 04:30:41 - mmengine - INFO - Epoch(train) [158][60/63] lr: 1.0000e-04 eta: 16:46:18 time: 0.9058 data_time: 0.0362 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0200 loss: 0.0504 2022/08/26 04:30:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:32:10 - mmengine - INFO - Epoch(train) [159][5/63] lr: 1.0000e-04 eta: 16:46:18 time: 9.0527 data_time: 8.2547 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0191 loss: 0.0458 2022/08/26 04:32:14 - mmengine - INFO - Epoch(train) [159][10/63] lr: 1.0000e-04 eta: 16:48:45 time: 9.1064 data_time: 8.2712 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0203 loss: 0.0479 2022/08/26 04:32:19 - mmengine - INFO - Epoch(train) [159][15/63] lr: 1.0000e-04 eta: 16:48:45 time: 0.8971 data_time: 0.0388 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0222 loss: 0.0554 2022/08/26 04:32:23 - mmengine - INFO - Epoch(train) [159][20/63] lr: 1.0000e-04 eta: 16:47:48 time: 0.9027 data_time: 0.0267 memory: 25127 loss_text: 0.0325 loss_kernel: 0.0210 loss: 0.0535 2022/08/26 04:32:27 - mmengine - INFO - Epoch(train) [159][25/63] lr: 1.0000e-04 eta: 16:47:48 time: 0.8809 data_time: 0.0348 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0201 loss: 0.0485 2022/08/26 04:32:32 - mmengine - INFO - Epoch(train) [159][30/63] lr: 1.0000e-04 eta: 16:46:50 time: 0.8614 data_time: 0.0293 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0214 loss: 0.0523 2022/08/26 04:32:36 - mmengine - INFO - Epoch(train) [159][35/63] lr: 1.0000e-04 eta: 16:46:50 time: 0.8257 data_time: 0.0245 memory: 25127 loss_text: 0.0357 loss_kernel: 0.0226 loss: 0.0583 2022/08/26 04:32:40 - mmengine - INFO - Epoch(train) [159][40/63] lr: 1.0000e-04 eta: 16:45:51 time: 0.8385 data_time: 0.0303 memory: 25127 loss_text: 0.0334 loss_kernel: 0.0220 loss: 0.0554 2022/08/26 04:32:44 - mmengine - INFO - Epoch(train) [159][45/63] lr: 1.0000e-04 eta: 16:45:51 time: 0.8600 data_time: 0.0275 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0233 loss: 0.0576 2022/08/26 04:32:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:32:48 - mmengine - INFO - Epoch(train) [159][50/63] lr: 1.0000e-04 eta: 16:44:52 time: 0.8442 data_time: 0.0264 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0250 loss: 0.0643 2022/08/26 04:32:53 - mmengine - INFO - Epoch(train) [159][55/63] lr: 1.0000e-04 eta: 16:44:52 time: 0.8549 data_time: 0.0291 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0226 loss: 0.0580 2022/08/26 04:32:57 - mmengine - INFO - Epoch(train) [159][60/63] lr: 1.0000e-04 eta: 16:43:55 time: 0.8693 data_time: 0.0305 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0208 loss: 0.0517 2022/08/26 04:32:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:34:27 - mmengine - INFO - Epoch(train) [160][5/63] lr: 1.0000e-04 eta: 16:43:55 time: 9.1750 data_time: 8.3580 memory: 25127 loss_text: 0.0387 loss_kernel: 0.0245 loss: 0.0632 2022/08/26 04:34:32 - mmengine - INFO - Epoch(train) [160][10/63] lr: 1.0000e-04 eta: 16:46:24 time: 9.2336 data_time: 8.3839 memory: 25127 loss_text: 0.0432 loss_kernel: 0.0266 loss: 0.0698 2022/08/26 04:34:36 - mmengine - INFO - Epoch(train) [160][15/63] lr: 1.0000e-04 eta: 16:46:24 time: 0.8751 data_time: 0.0389 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0246 loss: 0.0643 2022/08/26 04:34:40 - mmengine - INFO - Epoch(train) [160][20/63] lr: 1.0000e-04 eta: 16:45:26 time: 0.8421 data_time: 0.0176 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0232 loss: 0.0582 2022/08/26 04:34:45 - mmengine - INFO - Epoch(train) [160][25/63] lr: 1.0000e-04 eta: 16:45:26 time: 0.8839 data_time: 0.0303 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0216 loss: 0.0533 2022/08/26 04:34:49 - mmengine - INFO - Epoch(train) [160][30/63] lr: 1.0000e-04 eta: 16:44:29 time: 0.9124 data_time: 0.0307 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0201 loss: 0.0506 2022/08/26 04:34:54 - mmengine - INFO - Epoch(train) [160][35/63] lr: 1.0000e-04 eta: 16:44:29 time: 0.8988 data_time: 0.0310 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0196 loss: 0.0500 2022/08/26 04:34:58 - mmengine - INFO - Epoch(train) [160][40/63] lr: 1.0000e-04 eta: 16:43:32 time: 0.8877 data_time: 0.0261 memory: 25127 loss_text: 0.0315 loss_kernel: 0.0215 loss: 0.0530 2022/08/26 04:35:03 - mmengine - INFO - Epoch(train) [160][45/63] lr: 1.0000e-04 eta: 16:43:32 time: 0.8743 data_time: 0.0232 memory: 25127 loss_text: 0.0326 loss_kernel: 0.0226 loss: 0.0552 2022/08/26 04:35:07 - mmengine - INFO - Epoch(train) [160][50/63] lr: 1.0000e-04 eta: 16:42:34 time: 0.8746 data_time: 0.0307 memory: 25127 loss_text: 0.0454 loss_kernel: 0.0265 loss: 0.0719 2022/08/26 04:35:11 - mmengine - INFO - Epoch(train) [160][55/63] lr: 1.0000e-04 eta: 16:42:34 time: 0.8619 data_time: 0.0247 memory: 25127 loss_text: 0.0473 loss_kernel: 0.0272 loss: 0.0745 2022/08/26 04:35:16 - mmengine - INFO - Epoch(train) [160][60/63] lr: 1.0000e-04 eta: 16:41:38 time: 0.8894 data_time: 0.0218 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0220 loss: 0.0561 2022/08/26 04:35:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:35:18 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/26 04:35:48 - mmengine - INFO - Epoch(val) [160][5/500] eta: 16:41:38 time: 2.4188 data_time: 2.3532 memory: 25127 2022/08/26 04:35:48 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:19:52 time: 2.4342 data_time: 2.3549 memory: 2076 2022/08/26 04:35:49 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:19:52 time: 0.0637 data_time: 0.0035 memory: 2001 2022/08/26 04:35:49 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:00:25 time: 0.0536 data_time: 0.0019 memory: 1700 2022/08/26 04:35:49 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:00:25 time: 0.0478 data_time: 0.0021 memory: 1700 2022/08/26 04:35:49 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:00:20 time: 0.0440 data_time: 0.0027 memory: 1700 2022/08/26 04:35:49 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:00:20 time: 0.0436 data_time: 0.0025 memory: 1700 2022/08/26 04:35:50 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:00:20 time: 0.0449 data_time: 0.0018 memory: 1737 2022/08/26 04:35:50 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:00:20 time: 0.0422 data_time: 0.0017 memory: 2076 2022/08/26 04:35:50 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:00:18 time: 0.0406 data_time: 0.0019 memory: 1813 2022/08/26 04:35:50 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:00:18 time: 0.0416 data_time: 0.0020 memory: 1775 2022/08/26 04:35:51 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:00:20 time: 0.0477 data_time: 0.0019 memory: 1700 2022/08/26 04:35:51 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:00:20 time: 0.0529 data_time: 0.0019 memory: 1813 2022/08/26 04:35:51 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:00:20 time: 0.0479 data_time: 0.0018 memory: 2076 2022/08/26 04:35:51 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:00:20 time: 0.0461 data_time: 0.0018 memory: 1813 2022/08/26 04:35:52 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:00:18 time: 0.0443 data_time: 0.0019 memory: 1700 2022/08/26 04:35:52 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:00:18 time: 0.0397 data_time: 0.0019 memory: 1700 2022/08/26 04:35:52 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:00:17 time: 0.0436 data_time: 0.0019 memory: 2076 2022/08/26 04:35:52 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:00:17 time: 0.0439 data_time: 0.0019 memory: 1737 2022/08/26 04:35:52 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:00:16 time: 0.0409 data_time: 0.0018 memory: 2076 2022/08/26 04:35:53 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:00:16 time: 0.0400 data_time: 0.0018 memory: 1700 2022/08/26 04:35:53 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:00:16 time: 0.0428 data_time: 0.0020 memory: 2076 2022/08/26 04:35:53 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:00:16 time: 0.0431 data_time: 0.0021 memory: 1700 2022/08/26 04:35:53 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:00:20 time: 0.0546 data_time: 0.0021 memory: 1700 2022/08/26 04:35:54 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:00:20 time: 0.0662 data_time: 0.0022 memory: 2076 2022/08/26 04:35:54 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:00:19 time: 0.0517 data_time: 0.0021 memory: 1700 2022/08/26 04:35:54 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:00:19 time: 0.0426 data_time: 0.0021 memory: 1850 2022/08/26 04:35:54 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:00:16 time: 0.0446 data_time: 0.0021 memory: 1700 2022/08/26 04:35:54 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:00:16 time: 0.0414 data_time: 0.0021 memory: 2039 2022/08/26 04:35:55 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:00:14 time: 0.0409 data_time: 0.0021 memory: 1700 2022/08/26 04:35:55 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:00:14 time: 0.0450 data_time: 0.0022 memory: 1963 2022/08/26 04:35:55 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:00:15 time: 0.0468 data_time: 0.0023 memory: 2076 2022/08/26 04:35:55 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:00:15 time: 0.0441 data_time: 0.0024 memory: 1775 2022/08/26 04:35:56 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:00:14 time: 0.0446 data_time: 0.0023 memory: 1963 2022/08/26 04:35:56 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:00:14 time: 0.0447 data_time: 0.0022 memory: 2076 2022/08/26 04:35:56 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:13 time: 0.0414 data_time: 0.0021 memory: 2076 2022/08/26 04:35:56 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:13 time: 0.0412 data_time: 0.0021 memory: 1700 2022/08/26 04:35:56 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:00:13 time: 0.0437 data_time: 0.0021 memory: 1813 2022/08/26 04:35:57 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:00:13 time: 0.0421 data_time: 0.0024 memory: 1775 2022/08/26 04:35:57 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:00:11 time: 0.0388 data_time: 0.0024 memory: 1775 2022/08/26 04:35:57 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:00:11 time: 0.0387 data_time: 0.0021 memory: 1700 2022/08/26 04:35:57 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:00:12 time: 0.0418 data_time: 0.0028 memory: 2076 2022/08/26 04:35:57 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:00:12 time: 0.0416 data_time: 0.0028 memory: 1700 2022/08/26 04:35:58 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:14 time: 0.0505 data_time: 0.0021 memory: 1850 2022/08/26 04:35:58 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:14 time: 0.0634 data_time: 0.0033 memory: 2076 2022/08/26 04:35:59 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:20 time: 0.0755 data_time: 0.0044 memory: 1700 2022/08/26 04:35:59 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:20 time: 0.0685 data_time: 0.0032 memory: 2076 2022/08/26 04:35:59 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:15 time: 0.0585 data_time: 0.0020 memory: 2076 2022/08/26 04:35:59 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:15 time: 0.0535 data_time: 0.0019 memory: 2076 2022/08/26 04:36:00 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:10 time: 0.0404 data_time: 0.0017 memory: 1700 2022/08/26 04:36:00 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:10 time: 0.0702 data_time: 0.0027 memory: 1737 2022/08/26 04:36:00 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:16 time: 0.0706 data_time: 0.0028 memory: 1700 2022/08/26 04:36:00 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:16 time: 0.0441 data_time: 0.0020 memory: 2001 2022/08/26 04:36:01 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:10 time: 0.0437 data_time: 0.0019 memory: 1926 2022/08/26 04:36:01 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:10 time: 0.0448 data_time: 0.0019 memory: 2076 2022/08/26 04:36:01 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:00:09 time: 0.0425 data_time: 0.0019 memory: 2001 2022/08/26 04:36:01 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:00:09 time: 0.0417 data_time: 0.0019 memory: 1700 2022/08/26 04:36:02 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:10 time: 0.0484 data_time: 0.0020 memory: 2076 2022/08/26 04:36:02 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:10 time: 0.0439 data_time: 0.0019 memory: 1813 2022/08/26 04:36:02 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:00:07 time: 0.0393 data_time: 0.0025 memory: 1737 2022/08/26 04:36:02 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:00:07 time: 0.0363 data_time: 0.0025 memory: 1700 2022/08/26 04:36:02 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:06 time: 0.0361 data_time: 0.0017 memory: 1775 2022/08/26 04:36:03 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:06 time: 0.0421 data_time: 0.0019 memory: 2001 2022/08/26 04:36:03 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:08 time: 0.0468 data_time: 0.0019 memory: 2001 2022/08/26 04:36:03 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:08 time: 0.0485 data_time: 0.0020 memory: 2076 2022/08/26 04:36:03 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:00:07 time: 0.0468 data_time: 0.0020 memory: 1737 2022/08/26 04:36:04 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:00:07 time: 0.0557 data_time: 0.0019 memory: 1926 2022/08/26 04:36:04 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:00:08 time: 0.0552 data_time: 0.0019 memory: 2039 2022/08/26 04:36:04 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:00:08 time: 0.0869 data_time: 0.0464 memory: 1926 2022/08/26 04:36:05 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:13 time: 0.0909 data_time: 0.0466 memory: 1700 2022/08/26 04:36:05 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:13 time: 0.0646 data_time: 0.0021 memory: 2039 2022/08/26 04:36:05 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:07 time: 0.0569 data_time: 0.0019 memory: 1737 2022/08/26 04:36:05 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:07 time: 0.0383 data_time: 0.0018 memory: 1588 2022/08/26 04:36:06 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:06 time: 0.0538 data_time: 0.0024 memory: 1813 2022/08/26 04:36:06 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:06 time: 0.0510 data_time: 0.0031 memory: 1700 2022/08/26 04:36:06 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:04 time: 0.0390 data_time: 0.0024 memory: 2039 2022/08/26 04:36:06 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:04 time: 0.0431 data_time: 0.0018 memory: 2039 2022/08/26 04:36:07 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:05 time: 0.0467 data_time: 0.0018 memory: 2076 2022/08/26 04:36:07 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:05 time: 0.0631 data_time: 0.0018 memory: 1700 2022/08/26 04:36:07 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:06 time: 0.0614 data_time: 0.0018 memory: 2039 2022/08/26 04:36:08 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:06 time: 0.0438 data_time: 0.0021 memory: 2039 2022/08/26 04:36:08 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:03 time: 0.0424 data_time: 0.0022 memory: 1813 2022/08/26 04:36:08 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:03 time: 0.0468 data_time: 0.0019 memory: 1700 2022/08/26 04:36:09 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:07 time: 0.0888 data_time: 0.0179 memory: 2001 2022/08/26 04:36:09 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:07 time: 0.0929 data_time: 0.0207 memory: 1700 2022/08/26 04:36:09 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:03 time: 0.0494 data_time: 0.0047 memory: 2076 2022/08/26 04:36:09 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:03 time: 0.0513 data_time: 0.0018 memory: 1700 2022/08/26 04:36:10 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:03 time: 0.0514 data_time: 0.0018 memory: 1850 2022/08/26 04:36:10 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:03 time: 0.0454 data_time: 0.0019 memory: 2001 2022/08/26 04:36:10 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:02 time: 0.0458 data_time: 0.0019 memory: 1700 2022/08/26 04:36:10 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:02 time: 0.0439 data_time: 0.0019 memory: 2076 2022/08/26 04:36:11 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:01 time: 0.0431 data_time: 0.0018 memory: 1775 2022/08/26 04:36:11 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:01 time: 0.0484 data_time: 0.0023 memory: 1963 2022/08/26 04:36:11 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:01 time: 0.0506 data_time: 0.0033 memory: 1775 2022/08/26 04:36:11 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:01 time: 0.0477 data_time: 0.0027 memory: 2076 2022/08/26 04:36:12 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:00 time: 0.0476 data_time: 0.0020 memory: 2039 2022/08/26 04:36:12 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:00 time: 0.0418 data_time: 0.0020 memory: 1700 2022/08/26 04:36:12 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:00 time: 0.0364 data_time: 0.0018 memory: 1963 2022/08/26 04:36:12 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:00 time: 0.0434 data_time: 0.0020 memory: 2076 2022/08/26 04:36:12 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.0457 data_time: 0.0020 memory: 1737 2022/08/26 04:36:12 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 04:36:12 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7850, precision: 0.5001, hmean: 0.6110 2022/08/26 04:36:12 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7850, precision: 0.5001, hmean: 0.6110 2022/08/26 04:36:12 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7850, precision: 0.5001, hmean: 0.6110 2022/08/26 04:36:12 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7850, precision: 0.5290, hmean: 0.6321 2022/08/26 04:36:12 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7847, precision: 0.5983, hmean: 0.6790 2022/08/26 04:36:12 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7831, precision: 0.6808, hmean: 0.7284 2022/08/26 04:36:12 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7564, precision: 0.7784, hmean: 0.7673 2022/08/26 04:36:12 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.7784 icdar/recall: 0.7564 icdar/hmean: 0.7673 2022/08/26 04:37:39 - mmengine - INFO - Epoch(train) [161][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 9.0658 data_time: 8.2673 memory: 25127 loss_text: 0.0415 loss_kernel: 0.0254 loss: 0.0669 2022/08/26 04:37:44 - mmengine - INFO - Epoch(train) [161][10/63] lr: 1.0000e-04 eta: 16:44:03 time: 9.1481 data_time: 8.3085 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0196 loss: 0.0492 2022/08/26 04:37:49 - mmengine - INFO - Epoch(train) [161][15/63] lr: 1.0000e-04 eta: 16:44:03 time: 0.9297 data_time: 0.0662 memory: 25127 loss_text: 0.0336 loss_kernel: 0.0216 loss: 0.0552 2022/08/26 04:37:53 - mmengine - INFO - Epoch(train) [161][20/63] lr: 1.0000e-04 eta: 16:43:06 time: 0.8803 data_time: 0.0313 memory: 25127 loss_text: 0.0327 loss_kernel: 0.0220 loss: 0.0546 2022/08/26 04:37:57 - mmengine - INFO - Epoch(train) [161][25/63] lr: 1.0000e-04 eta: 16:43:06 time: 0.8697 data_time: 0.0441 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0217 loss: 0.0526 2022/08/26 04:38:02 - mmengine - INFO - Epoch(train) [161][30/63] lr: 1.0000e-04 eta: 16:42:09 time: 0.8816 data_time: 0.0406 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0233 loss: 0.0583 2022/08/26 04:38:06 - mmengine - INFO - Epoch(train) [161][35/63] lr: 1.0000e-04 eta: 16:42:09 time: 0.8652 data_time: 0.0209 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0235 loss: 0.0581 2022/08/26 04:38:10 - mmengine - INFO - Epoch(train) [161][40/63] lr: 1.0000e-04 eta: 16:41:12 time: 0.8659 data_time: 0.0288 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0224 loss: 0.0520 2022/08/26 04:38:15 - mmengine - INFO - Epoch(train) [161][45/63] lr: 1.0000e-04 eta: 16:41:12 time: 0.8860 data_time: 0.0326 memory: 25127 loss_text: 0.0356 loss_kernel: 0.0241 loss: 0.0596 2022/08/26 04:38:19 - mmengine - INFO - Epoch(train) [161][50/63] lr: 1.0000e-04 eta: 16:40:15 time: 0.8782 data_time: 0.0298 memory: 25127 loss_text: 0.0421 loss_kernel: 0.0256 loss: 0.0678 2022/08/26 04:38:24 - mmengine - INFO - Epoch(train) [161][55/63] lr: 1.0000e-04 eta: 16:40:15 time: 0.8905 data_time: 0.0297 memory: 25127 loss_text: 0.0439 loss_kernel: 0.0260 loss: 0.0699 2022/08/26 04:38:28 - mmengine - INFO - Epoch(train) [161][60/63] lr: 1.0000e-04 eta: 16:39:18 time: 0.9037 data_time: 0.0244 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0236 loss: 0.0625 2022/08/26 04:38:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:39:58 - mmengine - INFO - Epoch(train) [162][5/63] lr: 1.0000e-04 eta: 16:39:18 time: 9.1450 data_time: 8.3340 memory: 25127 loss_text: 0.0358 loss_kernel: 0.0229 loss: 0.0586 2022/08/26 04:40:02 - mmengine - INFO - Epoch(train) [162][10/63] lr: 1.0000e-04 eta: 16:41:43 time: 9.1777 data_time: 8.3612 memory: 25127 loss_text: 0.0439 loss_kernel: 0.0265 loss: 0.0705 2022/08/26 04:40:07 - mmengine - INFO - Epoch(train) [162][15/63] lr: 1.0000e-04 eta: 16:41:43 time: 0.8600 data_time: 0.0455 memory: 25127 loss_text: 0.0460 loss_kernel: 0.0275 loss: 0.0735 2022/08/26 04:40:11 - mmengine - INFO - Epoch(train) [162][20/63] lr: 1.0000e-04 eta: 16:40:46 time: 0.8686 data_time: 0.0360 memory: 25127 loss_text: 0.0398 loss_kernel: 0.0247 loss: 0.0645 2022/08/26 04:40:15 - mmengine - INFO - Epoch(train) [162][25/63] lr: 1.0000e-04 eta: 16:40:46 time: 0.8612 data_time: 0.0412 memory: 25127 loss_text: 0.0326 loss_kernel: 0.0214 loss: 0.0540 2022/08/26 04:40:19 - mmengine - INFO - Epoch(train) [162][30/63] lr: 1.0000e-04 eta: 16:39:48 time: 0.8439 data_time: 0.0324 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0210 loss: 0.0526 2022/08/26 04:40:23 - mmengine - INFO - Epoch(train) [162][35/63] lr: 1.0000e-04 eta: 16:39:48 time: 0.8110 data_time: 0.0293 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0205 loss: 0.0511 2022/08/26 04:40:28 - mmengine - INFO - Epoch(train) [162][40/63] lr: 1.0000e-04 eta: 16:38:51 time: 0.8680 data_time: 0.0281 memory: 25127 loss_text: 0.0311 loss_kernel: 0.0212 loss: 0.0523 2022/08/26 04:40:32 - mmengine - INFO - Epoch(train) [162][45/63] lr: 1.0000e-04 eta: 16:38:51 time: 0.8736 data_time: 0.0294 memory: 25127 loss_text: 0.0338 loss_kernel: 0.0227 loss: 0.0565 2022/08/26 04:40:36 - mmengine - INFO - Epoch(train) [162][50/63] lr: 1.0000e-04 eta: 16:37:53 time: 0.8290 data_time: 0.0365 memory: 25127 loss_text: 0.0396 loss_kernel: 0.0246 loss: 0.0642 2022/08/26 04:40:40 - mmengine - INFO - Epoch(train) [162][55/63] lr: 1.0000e-04 eta: 16:37:53 time: 0.8416 data_time: 0.0324 memory: 25127 loss_text: 0.0399 loss_kernel: 0.0246 loss: 0.0646 2022/08/26 04:40:45 - mmengine - INFO - Epoch(train) [162][60/63] lr: 1.0000e-04 eta: 16:36:56 time: 0.8558 data_time: 0.0213 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0244 loss: 0.0597 2022/08/26 04:40:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:42:15 - mmengine - INFO - Epoch(train) [163][5/63] lr: 1.0000e-04 eta: 16:36:56 time: 9.2203 data_time: 8.3588 memory: 25127 loss_text: 0.0451 loss_kernel: 0.0257 loss: 0.0708 2022/08/26 04:42:19 - mmengine - INFO - Epoch(train) [163][10/63] lr: 1.0000e-04 eta: 16:39:20 time: 9.2034 data_time: 8.3682 memory: 25127 loss_text: 0.0848 loss_kernel: 0.0371 loss: 0.1219 2022/08/26 04:42:24 - mmengine - INFO - Epoch(train) [163][15/63] lr: 1.0000e-04 eta: 16:39:20 time: 0.8648 data_time: 0.0330 memory: 25127 loss_text: 0.1014 loss_kernel: 0.0410 loss: 0.1424 2022/08/26 04:42:28 - mmengine - INFO - Epoch(train) [163][20/63] lr: 1.0000e-04 eta: 16:38:23 time: 0.8615 data_time: 0.0239 memory: 25127 loss_text: 0.0825 loss_kernel: 0.0364 loss: 0.1188 2022/08/26 04:42:32 - mmengine - INFO - Epoch(train) [163][25/63] lr: 1.0000e-04 eta: 16:38:23 time: 0.8474 data_time: 0.0244 memory: 25127 loss_text: 0.0791 loss_kernel: 0.0358 loss: 0.1149 2022/08/26 04:42:37 - mmengine - INFO - Epoch(train) [163][30/63] lr: 1.0000e-04 eta: 16:37:26 time: 0.8495 data_time: 0.0265 memory: 25127 loss_text: 0.0741 loss_kernel: 0.0339 loss: 0.1080 2022/08/26 04:42:41 - mmengine - INFO - Epoch(train) [163][35/63] lr: 1.0000e-04 eta: 16:37:26 time: 0.8364 data_time: 0.0267 memory: 25127 loss_text: 0.0791 loss_kernel: 0.0353 loss: 0.1144 2022/08/26 04:42:45 - mmengine - INFO - Epoch(train) [163][40/63] lr: 1.0000e-04 eta: 16:36:29 time: 0.8604 data_time: 0.0257 memory: 25127 loss_text: 0.0871 loss_kernel: 0.0371 loss: 0.1242 2022/08/26 04:42:49 - mmengine - INFO - Epoch(train) [163][45/63] lr: 1.0000e-04 eta: 16:36:29 time: 0.8652 data_time: 0.0271 memory: 25127 loss_text: 0.0884 loss_kernel: 0.0408 loss: 0.1292 2022/08/26 04:42:54 - mmengine - INFO - Epoch(train) [163][50/63] lr: 1.0000e-04 eta: 16:35:31 time: 0.8420 data_time: 0.0255 memory: 25127 loss_text: 0.0791 loss_kernel: 0.0369 loss: 0.1160 2022/08/26 04:42:58 - mmengine - INFO - Epoch(train) [163][55/63] lr: 1.0000e-04 eta: 16:35:31 time: 0.8536 data_time: 0.0268 memory: 25127 loss_text: 0.0755 loss_kernel: 0.0341 loss: 0.1096 2022/08/26 04:43:02 - mmengine - INFO - Epoch(train) [163][60/63] lr: 1.0000e-04 eta: 16:34:34 time: 0.8405 data_time: 0.0289 memory: 25127 loss_text: 0.0899 loss_kernel: 0.0434 loss: 0.1334 2022/08/26 04:43:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:44:31 - mmengine - INFO - Epoch(train) [164][5/63] lr: 1.0000e-04 eta: 16:34:34 time: 9.0704 data_time: 8.2696 memory: 25127 loss_text: 0.0863 loss_kernel: 0.0398 loss: 0.1261 2022/08/26 04:44:36 - mmengine - INFO - Epoch(train) [164][10/63] lr: 1.0000e-04 eta: 16:36:55 time: 9.1374 data_time: 8.2912 memory: 25127 loss_text: 0.0780 loss_kernel: 0.0389 loss: 0.1169 2022/08/26 04:44:40 - mmengine - INFO - Epoch(train) [164][15/63] lr: 1.0000e-04 eta: 16:36:55 time: 0.8772 data_time: 0.0371 memory: 25127 loss_text: 0.0794 loss_kernel: 0.0415 loss: 0.1210 2022/08/26 04:44:44 - mmengine - INFO - Epoch(train) [164][20/63] lr: 1.0000e-04 eta: 16:35:58 time: 0.8626 data_time: 0.0243 memory: 25127 loss_text: 0.0769 loss_kernel: 0.0360 loss: 0.1129 2022/08/26 04:44:49 - mmengine - INFO - Epoch(train) [164][25/63] lr: 1.0000e-04 eta: 16:35:58 time: 0.8714 data_time: 0.0336 memory: 25127 loss_text: 0.0710 loss_kernel: 0.0328 loss: 0.1038 2022/08/26 04:44:53 - mmengine - INFO - Epoch(train) [164][30/63] lr: 1.0000e-04 eta: 16:35:03 time: 0.8940 data_time: 0.0281 memory: 25127 loss_text: 0.0643 loss_kernel: 0.0321 loss: 0.0964 2022/08/26 04:44:57 - mmengine - INFO - Epoch(train) [164][35/63] lr: 1.0000e-04 eta: 16:35:03 time: 0.8784 data_time: 0.0363 memory: 25127 loss_text: 0.0561 loss_kernel: 0.0289 loss: 0.0850 2022/08/26 04:45:02 - mmengine - INFO - Epoch(train) [164][40/63] lr: 1.0000e-04 eta: 16:34:06 time: 0.8632 data_time: 0.0328 memory: 25127 loss_text: 0.0472 loss_kernel: 0.0265 loss: 0.0737 2022/08/26 04:45:06 - mmengine - INFO - Epoch(train) [164][45/63] lr: 1.0000e-04 eta: 16:34:06 time: 0.8602 data_time: 0.0284 memory: 25127 loss_text: 0.0480 loss_kernel: 0.0292 loss: 0.0772 2022/08/26 04:45:10 - mmengine - INFO - Epoch(train) [164][50/63] lr: 1.0000e-04 eta: 16:33:09 time: 0.8575 data_time: 0.0357 memory: 25127 loss_text: 0.0634 loss_kernel: 0.0365 loss: 0.0999 2022/08/26 04:45:15 - mmengine - INFO - Epoch(train) [164][55/63] lr: 1.0000e-04 eta: 16:33:09 time: 0.8575 data_time: 0.0263 memory: 25127 loss_text: 0.0611 loss_kernel: 0.0329 loss: 0.0940 2022/08/26 04:45:19 - mmengine - INFO - Epoch(train) [164][60/63] lr: 1.0000e-04 eta: 16:32:13 time: 0.8499 data_time: 0.0218 memory: 25127 loss_text: 0.0432 loss_kernel: 0.0253 loss: 0.0685 2022/08/26 04:45:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:46:49 - mmengine - INFO - Epoch(train) [165][5/63] lr: 1.0000e-04 eta: 16:32:13 time: 9.2052 data_time: 8.4089 memory: 25127 loss_text: 0.0603 loss_kernel: 0.0307 loss: 0.0910 2022/08/26 04:46:54 - mmengine - INFO - Epoch(train) [165][10/63] lr: 1.0000e-04 eta: 16:34:36 time: 9.2662 data_time: 8.4358 memory: 25127 loss_text: 0.0592 loss_kernel: 0.0305 loss: 0.0897 2022/08/26 04:46:58 - mmengine - INFO - Epoch(train) [165][15/63] lr: 1.0000e-04 eta: 16:34:36 time: 0.8440 data_time: 0.0355 memory: 25127 loss_text: 0.0529 loss_kernel: 0.0288 loss: 0.0818 2022/08/26 04:47:02 - mmengine - INFO - Epoch(train) [165][20/63] lr: 1.0000e-04 eta: 16:33:38 time: 0.8238 data_time: 0.0187 memory: 25127 loss_text: 0.0526 loss_kernel: 0.0261 loss: 0.0787 2022/08/26 04:47:07 - mmengine - INFO - Epoch(train) [165][25/63] lr: 1.0000e-04 eta: 16:33:38 time: 0.8737 data_time: 0.0379 memory: 25127 loss_text: 0.0586 loss_kernel: 0.0296 loss: 0.0882 2022/08/26 04:47:11 - mmengine - INFO - Epoch(train) [165][30/63] lr: 1.0000e-04 eta: 16:32:42 time: 0.8827 data_time: 0.0361 memory: 25127 loss_text: 0.0586 loss_kernel: 0.0309 loss: 0.0895 2022/08/26 04:47:15 - mmengine - INFO - Epoch(train) [165][35/63] lr: 1.0000e-04 eta: 16:32:42 time: 0.8623 data_time: 0.0256 memory: 25127 loss_text: 0.0502 loss_kernel: 0.0278 loss: 0.0780 2022/08/26 04:47:19 - mmengine - INFO - Epoch(train) [165][40/63] lr: 1.0000e-04 eta: 16:31:46 time: 0.8628 data_time: 0.0277 memory: 25127 loss_text: 0.0548 loss_kernel: 0.0307 loss: 0.0855 2022/08/26 04:47:23 - mmengine - INFO - Epoch(train) [165][45/63] lr: 1.0000e-04 eta: 16:31:46 time: 0.8292 data_time: 0.0275 memory: 25127 loss_text: 0.0530 loss_kernel: 0.0295 loss: 0.0825 2022/08/26 04:47:28 - mmengine - INFO - Epoch(train) [165][50/63] lr: 1.0000e-04 eta: 16:30:49 time: 0.8260 data_time: 0.0323 memory: 25127 loss_text: 0.0477 loss_kernel: 0.0278 loss: 0.0755 2022/08/26 04:47:32 - mmengine - INFO - Epoch(train) [165][55/63] lr: 1.0000e-04 eta: 16:30:49 time: 0.8375 data_time: 0.0307 memory: 25127 loss_text: 0.0466 loss_kernel: 0.0272 loss: 0.0738 2022/08/26 04:47:36 - mmengine - INFO - Epoch(train) [165][60/63] lr: 1.0000e-04 eta: 16:29:52 time: 0.8216 data_time: 0.0211 memory: 25127 loss_text: 0.0473 loss_kernel: 0.0268 loss: 0.0742 2022/08/26 04:47:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:49:06 - mmengine - INFO - Epoch(train) [166][5/63] lr: 1.0000e-04 eta: 16:29:52 time: 9.1661 data_time: 8.3784 memory: 25127 loss_text: 0.0463 loss_kernel: 0.0284 loss: 0.0747 2022/08/26 04:49:11 - mmengine - INFO - Epoch(train) [166][10/63] lr: 1.0000e-04 eta: 16:32:12 time: 9.2398 data_time: 8.4000 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0244 loss: 0.0615 2022/08/26 04:49:15 - mmengine - INFO - Epoch(train) [166][15/63] lr: 1.0000e-04 eta: 16:32:12 time: 0.8667 data_time: 0.0348 memory: 25127 loss_text: 0.0380 loss_kernel: 0.0238 loss: 0.0618 2022/08/26 04:49:19 - mmengine - INFO - Epoch(train) [166][20/63] lr: 1.0000e-04 eta: 16:31:16 time: 0.8595 data_time: 0.0188 memory: 25127 loss_text: 0.0427 loss_kernel: 0.0256 loss: 0.0683 2022/08/26 04:49:24 - mmengine - INFO - Epoch(train) [166][25/63] lr: 1.0000e-04 eta: 16:31:16 time: 0.8887 data_time: 0.0301 memory: 25127 loss_text: 0.0418 loss_kernel: 0.0262 loss: 0.0680 2022/08/26 04:49:28 - mmengine - INFO - Epoch(train) [166][30/63] lr: 1.0000e-04 eta: 16:30:21 time: 0.8967 data_time: 0.0319 memory: 25127 loss_text: 0.0396 loss_kernel: 0.0248 loss: 0.0644 2022/08/26 04:49:32 - mmengine - INFO - Epoch(train) [166][35/63] lr: 1.0000e-04 eta: 16:30:21 time: 0.8670 data_time: 0.0347 memory: 25127 loss_text: 0.0469 loss_kernel: 0.0270 loss: 0.0739 2022/08/26 04:49:37 - mmengine - INFO - Epoch(train) [166][40/63] lr: 1.0000e-04 eta: 16:29:26 time: 0.8842 data_time: 0.0318 memory: 25127 loss_text: 0.0464 loss_kernel: 0.0264 loss: 0.0728 2022/08/26 04:49:41 - mmengine - INFO - Epoch(train) [166][45/63] lr: 1.0000e-04 eta: 16:29:26 time: 0.8770 data_time: 0.0279 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0239 loss: 0.0622 2022/08/26 04:49:46 - mmengine - INFO - Epoch(train) [166][50/63] lr: 1.0000e-04 eta: 16:28:30 time: 0.8599 data_time: 0.0280 memory: 25127 loss_text: 0.0406 loss_kernel: 0.0256 loss: 0.0662 2022/08/26 04:49:50 - mmengine - INFO - Epoch(train) [166][55/63] lr: 1.0000e-04 eta: 16:28:30 time: 0.8679 data_time: 0.0363 memory: 25127 loss_text: 0.0480 loss_kernel: 0.0271 loss: 0.0751 2022/08/26 04:49:54 - mmengine - INFO - Epoch(train) [166][60/63] lr: 1.0000e-04 eta: 16:27:33 time: 0.8483 data_time: 0.0316 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0251 loss: 0.0697 2022/08/26 04:49:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:51:25 - mmengine - INFO - Epoch(train) [167][5/63] lr: 1.0000e-04 eta: 16:27:33 time: 9.2411 data_time: 8.4254 memory: 25127 loss_text: 0.0401 loss_kernel: 0.0237 loss: 0.0638 2022/08/26 04:51:29 - mmengine - INFO - Epoch(train) [167][10/63] lr: 1.0000e-04 eta: 16:29:54 time: 9.2795 data_time: 8.4412 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0232 loss: 0.0625 2022/08/26 04:51:34 - mmengine - INFO - Epoch(train) [167][15/63] lr: 1.0000e-04 eta: 16:29:54 time: 0.8840 data_time: 0.0318 memory: 25127 loss_text: 0.0434 loss_kernel: 0.0265 loss: 0.0700 2022/08/26 04:51:38 - mmengine - INFO - Epoch(train) [167][20/63] lr: 1.0000e-04 eta: 16:28:59 time: 0.9038 data_time: 0.0465 memory: 25127 loss_text: 0.0409 loss_kernel: 0.0256 loss: 0.0665 2022/08/26 04:51:43 - mmengine - INFO - Epoch(train) [167][25/63] lr: 1.0000e-04 eta: 16:28:59 time: 0.8839 data_time: 0.0504 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0220 loss: 0.0572 2022/08/26 04:51:47 - mmengine - INFO - Epoch(train) [167][30/63] lr: 1.0000e-04 eta: 16:28:03 time: 0.8684 data_time: 0.0237 memory: 25127 loss_text: 0.0430 loss_kernel: 0.0250 loss: 0.0680 2022/08/26 04:51:51 - mmengine - INFO - Epoch(train) [167][35/63] lr: 1.0000e-04 eta: 16:28:03 time: 0.8725 data_time: 0.0246 memory: 25127 loss_text: 0.0448 loss_kernel: 0.0264 loss: 0.0712 2022/08/26 04:51:56 - mmengine - INFO - Epoch(train) [167][40/63] lr: 1.0000e-04 eta: 16:27:08 time: 0.8821 data_time: 0.0276 memory: 25127 loss_text: 0.0387 loss_kernel: 0.0251 loss: 0.0638 2022/08/26 04:52:00 - mmengine - INFO - Epoch(train) [167][45/63] lr: 1.0000e-04 eta: 16:27:08 time: 0.8717 data_time: 0.0254 memory: 25127 loss_text: 0.0363 loss_kernel: 0.0260 loss: 0.0623 2022/08/26 04:52:04 - mmengine - INFO - Epoch(train) [167][50/63] lr: 1.0000e-04 eta: 16:26:12 time: 0.8527 data_time: 0.0293 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0264 loss: 0.0615 2022/08/26 04:52:09 - mmengine - INFO - Epoch(train) [167][55/63] lr: 1.0000e-04 eta: 16:26:12 time: 0.8612 data_time: 0.0295 memory: 25127 loss_text: 0.0429 loss_kernel: 0.0284 loss: 0.0713 2022/08/26 04:52:13 - mmengine - INFO - Epoch(train) [167][60/63] lr: 1.0000e-04 eta: 16:25:16 time: 0.8453 data_time: 0.0239 memory: 25127 loss_text: 0.0483 loss_kernel: 0.0292 loss: 0.0775 2022/08/26 04:52:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:53:43 - mmengine - INFO - Epoch(train) [168][5/63] lr: 1.0000e-04 eta: 16:25:16 time: 9.1767 data_time: 8.3953 memory: 25127 loss_text: 0.0455 loss_kernel: 0.0276 loss: 0.0731 2022/08/26 04:53:47 - mmengine - INFO - Epoch(train) [168][10/63] lr: 1.0000e-04 eta: 16:27:34 time: 9.2356 data_time: 8.4242 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0260 loss: 0.0670 2022/08/26 04:53:52 - mmengine - INFO - Epoch(train) [168][15/63] lr: 1.0000e-04 eta: 16:27:34 time: 0.8432 data_time: 0.0400 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0234 loss: 0.0589 2022/08/26 04:53:56 - mmengine - INFO - Epoch(train) [168][20/63] lr: 1.0000e-04 eta: 16:26:39 time: 0.8824 data_time: 0.0200 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0210 loss: 0.0517 2022/08/26 04:54:00 - mmengine - INFO - Epoch(train) [168][25/63] lr: 1.0000e-04 eta: 16:26:39 time: 0.8906 data_time: 0.0306 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0214 loss: 0.0519 2022/08/26 04:54:05 - mmengine - INFO - Epoch(train) [168][30/63] lr: 1.0000e-04 eta: 16:25:43 time: 0.8271 data_time: 0.0237 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0234 loss: 0.0580 2022/08/26 04:54:10 - mmengine - INFO - Epoch(train) [168][35/63] lr: 1.0000e-04 eta: 16:25:43 time: 0.9132 data_time: 0.0279 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0254 loss: 0.0649 2022/08/26 04:54:14 - mmengine - INFO - Epoch(train) [168][40/63] lr: 1.0000e-04 eta: 16:24:49 time: 0.9168 data_time: 0.0276 memory: 25127 loss_text: 0.0347 loss_kernel: 0.0236 loss: 0.0583 2022/08/26 04:54:18 - mmengine - INFO - Epoch(train) [168][45/63] lr: 1.0000e-04 eta: 16:24:49 time: 0.8668 data_time: 0.0286 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0231 loss: 0.0574 2022/08/26 04:54:23 - mmengine - INFO - Epoch(train) [168][50/63] lr: 1.0000e-04 eta: 16:23:54 time: 0.8856 data_time: 0.0388 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0218 loss: 0.0559 2022/08/26 04:54:27 - mmengine - INFO - Epoch(train) [168][55/63] lr: 1.0000e-04 eta: 16:23:54 time: 0.8591 data_time: 0.0256 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0207 loss: 0.0520 2022/08/26 04:54:31 - mmengine - INFO - Epoch(train) [168][60/63] lr: 1.0000e-04 eta: 16:22:59 time: 0.8568 data_time: 0.0218 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0235 loss: 0.0588 2022/08/26 04:54:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:56:03 - mmengine - INFO - Epoch(train) [169][5/63] lr: 1.0000e-04 eta: 16:22:59 time: 9.3449 data_time: 8.5371 memory: 25127 loss_text: 0.0386 loss_kernel: 0.0235 loss: 0.0621 2022/08/26 04:56:07 - mmengine - INFO - Epoch(train) [169][10/63] lr: 1.0000e-04 eta: 16:25:20 time: 9.4005 data_time: 8.5577 memory: 25127 loss_text: 0.0359 loss_kernel: 0.0233 loss: 0.0592 2022/08/26 04:56:12 - mmengine - INFO - Epoch(train) [169][15/63] lr: 1.0000e-04 eta: 16:25:20 time: 0.8528 data_time: 0.0388 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0210 loss: 0.0527 2022/08/26 04:56:16 - mmengine - INFO - Epoch(train) [169][20/63] lr: 1.0000e-04 eta: 16:24:24 time: 0.8495 data_time: 0.0354 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0218 loss: 0.0570 2022/08/26 04:56:20 - mmengine - INFO - Epoch(train) [169][25/63] lr: 1.0000e-04 eta: 16:24:24 time: 0.8552 data_time: 0.0381 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0218 loss: 0.0559 2022/08/26 04:56:24 - mmengine - INFO - Epoch(train) [169][30/63] lr: 1.0000e-04 eta: 16:23:28 time: 0.8424 data_time: 0.0276 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0197 loss: 0.0479 2022/08/26 04:56:29 - mmengine - INFO - Epoch(train) [169][35/63] lr: 1.0000e-04 eta: 16:23:28 time: 0.8474 data_time: 0.0287 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0198 loss: 0.0474 2022/08/26 04:56:33 - mmengine - INFO - Epoch(train) [169][40/63] lr: 1.0000e-04 eta: 16:22:32 time: 0.8393 data_time: 0.0282 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0204 loss: 0.0494 2022/08/26 04:56:37 - mmengine - INFO - Epoch(train) [169][45/63] lr: 1.0000e-04 eta: 16:22:32 time: 0.8449 data_time: 0.0273 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0203 loss: 0.0503 2022/08/26 04:56:41 - mmengine - INFO - Epoch(train) [169][50/63] lr: 1.0000e-04 eta: 16:21:37 time: 0.8522 data_time: 0.0300 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0240 loss: 0.0600 2022/08/26 04:56:45 - mmengine - INFO - Epoch(train) [169][55/63] lr: 1.0000e-04 eta: 16:21:37 time: 0.8340 data_time: 0.0267 memory: 25127 loss_text: 0.0378 loss_kernel: 0.0257 loss: 0.0635 2022/08/26 04:56:50 - mmengine - INFO - Epoch(train) [169][60/63] lr: 1.0000e-04 eta: 16:20:42 time: 0.8701 data_time: 0.0246 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0230 loss: 0.0561 2022/08/26 04:56:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 04:58:21 - mmengine - INFO - Epoch(train) [170][5/63] lr: 1.0000e-04 eta: 16:20:42 time: 9.2491 data_time: 8.4257 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0208 loss: 0.0517 2022/08/26 04:58:25 - mmengine - INFO - Epoch(train) [170][10/63] lr: 1.0000e-04 eta: 16:22:58 time: 9.2636 data_time: 8.4392 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0215 loss: 0.0522 2022/08/26 04:58:29 - mmengine - INFO - Epoch(train) [170][15/63] lr: 1.0000e-04 eta: 16:22:58 time: 0.8434 data_time: 0.0397 memory: 25127 loss_text: 0.0386 loss_kernel: 0.0245 loss: 0.0631 2022/08/26 04:58:34 - mmengine - INFO - Epoch(train) [170][20/63] lr: 1.0000e-04 eta: 16:22:04 time: 0.8964 data_time: 0.0714 memory: 25127 loss_text: 0.0365 loss_kernel: 0.0223 loss: 0.0588 2022/08/26 04:58:38 - mmengine - INFO - Epoch(train) [170][25/63] lr: 1.0000e-04 eta: 16:22:04 time: 0.9042 data_time: 0.0688 memory: 25127 loss_text: 0.0325 loss_kernel: 0.0216 loss: 0.0540 2022/08/26 04:58:43 - mmengine - INFO - Epoch(train) [170][30/63] lr: 1.0000e-04 eta: 16:21:09 time: 0.8791 data_time: 0.0297 memory: 25127 loss_text: 0.0381 loss_kernel: 0.0241 loss: 0.0622 2022/08/26 04:58:47 - mmengine - INFO - Epoch(train) [170][35/63] lr: 1.0000e-04 eta: 16:21:09 time: 0.8702 data_time: 0.0272 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0240 loss: 0.0629 2022/08/26 04:58:51 - mmengine - INFO - Epoch(train) [170][40/63] lr: 1.0000e-04 eta: 16:20:14 time: 0.8575 data_time: 0.0281 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0228 loss: 0.0572 2022/08/26 04:58:56 - mmengine - INFO - Epoch(train) [170][45/63] lr: 1.0000e-04 eta: 16:20:14 time: 0.8718 data_time: 0.0348 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0249 loss: 0.0634 2022/08/26 04:59:00 - mmengine - INFO - Epoch(train) [170][50/63] lr: 1.0000e-04 eta: 16:19:20 time: 0.8626 data_time: 0.0303 memory: 25127 loss_text: 0.0365 loss_kernel: 0.0239 loss: 0.0605 2022/08/26 04:59:05 - mmengine - INFO - Epoch(train) [170][55/63] lr: 1.0000e-04 eta: 16:19:20 time: 0.8776 data_time: 0.0284 memory: 25127 loss_text: 0.0339 loss_kernel: 0.0227 loss: 0.0566 2022/08/26 04:59:09 - mmengine - INFO - Epoch(train) [170][60/63] lr: 1.0000e-04 eta: 16:18:25 time: 0.8743 data_time: 0.0278 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0247 loss: 0.0636 2022/08/26 04:59:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:00:39 - mmengine - INFO - Epoch(train) [171][5/63] lr: 1.0000e-04 eta: 16:18:25 time: 9.1688 data_time: 8.3778 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0238 loss: 0.0591 2022/08/26 05:00:43 - mmengine - INFO - Epoch(train) [171][10/63] lr: 1.0000e-04 eta: 16:20:39 time: 9.2168 data_time: 8.3954 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0230 loss: 0.0582 2022/08/26 05:00:48 - mmengine - INFO - Epoch(train) [171][15/63] lr: 1.0000e-04 eta: 16:20:39 time: 0.8964 data_time: 0.0353 memory: 25127 loss_text: 0.0363 loss_kernel: 0.0237 loss: 0.0600 2022/08/26 05:00:52 - mmengine - INFO - Epoch(train) [171][20/63] lr: 1.0000e-04 eta: 16:19:45 time: 0.9007 data_time: 0.0265 memory: 25127 loss_text: 0.0388 loss_kernel: 0.0250 loss: 0.0638 2022/08/26 05:00:57 - mmengine - INFO - Epoch(train) [171][25/63] lr: 1.0000e-04 eta: 16:19:45 time: 0.8897 data_time: 0.0378 memory: 25127 loss_text: 0.0327 loss_kernel: 0.0217 loss: 0.0544 2022/08/26 05:01:01 - mmengine - INFO - Epoch(train) [171][30/63] lr: 1.0000e-04 eta: 16:18:51 time: 0.8808 data_time: 0.0273 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0192 loss: 0.0464 2022/08/26 05:01:05 - mmengine - INFO - Epoch(train) [171][35/63] lr: 1.0000e-04 eta: 16:18:51 time: 0.8498 data_time: 0.0259 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0237 loss: 0.0607 2022/08/26 05:01:10 - mmengine - INFO - Epoch(train) [171][40/63] lr: 1.0000e-04 eta: 16:17:56 time: 0.8695 data_time: 0.0275 memory: 25127 loss_text: 0.0372 loss_kernel: 0.0241 loss: 0.0613 2022/08/26 05:01:14 - mmengine - INFO - Epoch(train) [171][45/63] lr: 1.0000e-04 eta: 16:17:56 time: 0.8689 data_time: 0.0268 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0203 loss: 0.0495 2022/08/26 05:01:18 - mmengine - INFO - Epoch(train) [171][50/63] lr: 1.0000e-04 eta: 16:17:02 time: 0.8670 data_time: 0.0347 memory: 25127 loss_text: 0.0317 loss_kernel: 0.0208 loss: 0.0525 2022/08/26 05:01:23 - mmengine - INFO - Epoch(train) [171][55/63] lr: 1.0000e-04 eta: 16:17:02 time: 0.8863 data_time: 0.0300 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0210 loss: 0.0522 2022/08/26 05:01:27 - mmengine - INFO - Epoch(train) [171][60/63] lr: 1.0000e-04 eta: 16:16:08 time: 0.8785 data_time: 0.0249 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0214 loss: 0.0514 2022/08/26 05:01:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:02:56 - mmengine - INFO - Epoch(train) [172][5/63] lr: 1.0000e-04 eta: 16:16:08 time: 9.0455 data_time: 8.2582 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0237 loss: 0.0591 2022/08/26 05:03:00 - mmengine - INFO - Epoch(train) [172][10/63] lr: 1.0000e-04 eta: 16:18:17 time: 9.0959 data_time: 8.2787 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0225 loss: 0.0562 2022/08/26 05:03:04 - mmengine - INFO - Epoch(train) [172][15/63] lr: 1.0000e-04 eta: 16:18:17 time: 0.8271 data_time: 0.0366 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0219 loss: 0.0551 2022/08/26 05:03:10 - mmengine - INFO - Epoch(train) [172][20/63] lr: 1.0000e-04 eta: 16:17:24 time: 0.9124 data_time: 0.0207 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0223 loss: 0.0573 2022/08/26 05:03:14 - mmengine - INFO - Epoch(train) [172][25/63] lr: 1.0000e-04 eta: 16:17:24 time: 0.9370 data_time: 0.0244 memory: 25127 loss_text: 0.0378 loss_kernel: 0.0235 loss: 0.0613 2022/08/26 05:03:18 - mmengine - INFO - Epoch(train) [172][30/63] lr: 1.0000e-04 eta: 16:16:30 time: 0.8858 data_time: 0.0295 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0219 loss: 0.0542 2022/08/26 05:03:23 - mmengine - INFO - Epoch(train) [172][35/63] lr: 1.0000e-04 eta: 16:16:30 time: 0.8837 data_time: 0.0314 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0212 loss: 0.0516 2022/08/26 05:03:28 - mmengine - INFO - Epoch(train) [172][40/63] lr: 1.0000e-04 eta: 16:15:37 time: 0.9093 data_time: 0.0291 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0222 loss: 0.0566 2022/08/26 05:03:32 - mmengine - INFO - Epoch(train) [172][45/63] lr: 1.0000e-04 eta: 16:15:37 time: 0.9216 data_time: 0.0279 memory: 25127 loss_text: 0.0338 loss_kernel: 0.0221 loss: 0.0559 2022/08/26 05:03:36 - mmengine - INFO - Epoch(train) [172][50/63] lr: 1.0000e-04 eta: 16:14:42 time: 0.8581 data_time: 0.0311 memory: 25127 loss_text: 0.0311 loss_kernel: 0.0207 loss: 0.0518 2022/08/26 05:03:41 - mmengine - INFO - Epoch(train) [172][55/63] lr: 1.0000e-04 eta: 16:14:42 time: 0.9437 data_time: 0.0307 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0224 loss: 0.0575 2022/08/26 05:03:46 - mmengine - INFO - Epoch(train) [172][60/63] lr: 1.0000e-04 eta: 16:13:50 time: 0.9420 data_time: 0.0216 memory: 25127 loss_text: 0.0347 loss_kernel: 0.0233 loss: 0.0580 2022/08/26 05:03:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:05:19 - mmengine - INFO - Epoch(train) [173][5/63] lr: 1.0000e-04 eta: 16:13:50 time: 9.4824 data_time: 8.6118 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0236 loss: 0.0550 2022/08/26 05:05:23 - mmengine - INFO - Epoch(train) [173][10/63] lr: 1.0000e-04 eta: 16:16:07 time: 9.4683 data_time: 8.6268 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0218 loss: 0.0520 2022/08/26 05:05:28 - mmengine - INFO - Epoch(train) [173][15/63] lr: 1.0000e-04 eta: 16:16:07 time: 0.8720 data_time: 0.0307 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0217 loss: 0.0515 2022/08/26 05:05:32 - mmengine - INFO - Epoch(train) [173][20/63] lr: 1.0000e-04 eta: 16:15:13 time: 0.8521 data_time: 0.0241 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0207 loss: 0.0528 2022/08/26 05:05:36 - mmengine - INFO - Epoch(train) [173][25/63] lr: 1.0000e-04 eta: 16:15:13 time: 0.8780 data_time: 0.0396 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0209 loss: 0.0528 2022/08/26 05:05:41 - mmengine - INFO - Epoch(train) [173][30/63] lr: 1.0000e-04 eta: 16:14:19 time: 0.8739 data_time: 0.0247 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0211 loss: 0.0513 2022/08/26 05:05:45 - mmengine - INFO - Epoch(train) [173][35/63] lr: 1.0000e-04 eta: 16:14:19 time: 0.8596 data_time: 0.0242 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0218 loss: 0.0548 2022/08/26 05:05:49 - mmengine - INFO - Epoch(train) [173][40/63] lr: 1.0000e-04 eta: 16:13:25 time: 0.8647 data_time: 0.0291 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0222 loss: 0.0584 2022/08/26 05:05:53 - mmengine - INFO - Epoch(train) [173][45/63] lr: 1.0000e-04 eta: 16:13:25 time: 0.8560 data_time: 0.0299 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0214 loss: 0.0536 2022/08/26 05:05:58 - mmengine - INFO - Epoch(train) [173][50/63] lr: 1.0000e-04 eta: 16:12:31 time: 0.8596 data_time: 0.0438 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0195 loss: 0.0456 2022/08/26 05:06:02 - mmengine - INFO - Epoch(train) [173][55/63] lr: 1.0000e-04 eta: 16:12:31 time: 0.8409 data_time: 0.0338 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0192 loss: 0.0455 2022/08/26 05:06:06 - mmengine - INFO - Epoch(train) [173][60/63] lr: 1.0000e-04 eta: 16:11:36 time: 0.8395 data_time: 0.0243 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0253 loss: 0.0626 2022/08/26 05:06:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:07:36 - mmengine - INFO - Epoch(train) [174][5/63] lr: 1.0000e-04 eta: 16:11:36 time: 9.0973 data_time: 8.2694 memory: 25127 loss_text: 0.0398 loss_kernel: 0.0250 loss: 0.0648 2022/08/26 05:07:40 - mmengine - INFO - Epoch(train) [174][10/63] lr: 1.0000e-04 eta: 16:13:44 time: 9.1394 data_time: 8.2857 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0215 loss: 0.0537 2022/08/26 05:07:45 - mmengine - INFO - Epoch(train) [174][15/63] lr: 1.0000e-04 eta: 16:13:44 time: 0.9037 data_time: 0.0335 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0219 loss: 0.0525 2022/08/26 05:07:49 - mmengine - INFO - Epoch(train) [174][20/63] lr: 1.0000e-04 eta: 16:12:51 time: 0.9134 data_time: 0.0290 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0223 loss: 0.0521 2022/08/26 05:07:54 - mmengine - INFO - Epoch(train) [174][25/63] lr: 1.0000e-04 eta: 16:12:51 time: 0.8907 data_time: 0.0432 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0207 loss: 0.0488 2022/08/26 05:07:58 - mmengine - INFO - Epoch(train) [174][30/63] lr: 1.0000e-04 eta: 16:11:57 time: 0.8714 data_time: 0.0287 memory: 25127 loss_text: 0.0294 loss_kernel: 0.0220 loss: 0.0514 2022/08/26 05:08:02 - mmengine - INFO - Epoch(train) [174][35/63] lr: 1.0000e-04 eta: 16:11:57 time: 0.8574 data_time: 0.0303 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0215 loss: 0.0513 2022/08/26 05:08:06 - mmengine - INFO - Epoch(train) [174][40/63] lr: 1.0000e-04 eta: 16:11:04 time: 0.8670 data_time: 0.0362 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0230 loss: 0.0604 2022/08/26 05:08:11 - mmengine - INFO - Epoch(train) [174][45/63] lr: 1.0000e-04 eta: 16:11:04 time: 0.8434 data_time: 0.0258 memory: 25127 loss_text: 0.0379 loss_kernel: 0.0237 loss: 0.0616 2022/08/26 05:08:15 - mmengine - INFO - Epoch(train) [174][50/63] lr: 1.0000e-04 eta: 16:10:10 time: 0.8522 data_time: 0.0379 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0208 loss: 0.0496 2022/08/26 05:08:19 - mmengine - INFO - Epoch(train) [174][55/63] lr: 1.0000e-04 eta: 16:10:10 time: 0.8691 data_time: 0.0343 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0211 loss: 0.0497 2022/08/26 05:08:23 - mmengine - INFO - Epoch(train) [174][60/63] lr: 1.0000e-04 eta: 16:09:16 time: 0.8550 data_time: 0.0205 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0241 loss: 0.0601 2022/08/26 05:08:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:09:54 - mmengine - INFO - Epoch(train) [175][5/63] lr: 1.0000e-04 eta: 16:09:16 time: 9.2035 data_time: 8.4056 memory: 25127 loss_text: 0.0368 loss_kernel: 0.0235 loss: 0.0603 2022/08/26 05:09:58 - mmengine - INFO - Epoch(train) [175][10/63] lr: 1.0000e-04 eta: 16:11:26 time: 9.2700 data_time: 8.4288 memory: 25127 loss_text: 0.0294 loss_kernel: 0.0203 loss: 0.0497 2022/08/26 05:10:03 - mmengine - INFO - Epoch(train) [175][15/63] lr: 1.0000e-04 eta: 16:11:26 time: 0.8596 data_time: 0.0352 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0207 loss: 0.0520 2022/08/26 05:10:07 - mmengine - INFO - Epoch(train) [175][20/63] lr: 1.0000e-04 eta: 16:10:31 time: 0.8297 data_time: 0.0235 memory: 25127 loss_text: 0.0401 loss_kernel: 0.0242 loss: 0.0643 2022/08/26 05:10:12 - mmengine - INFO - Epoch(train) [175][25/63] lr: 1.0000e-04 eta: 16:10:31 time: 0.8965 data_time: 0.0351 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0251 loss: 0.0664 2022/08/26 05:10:16 - mmengine - INFO - Epoch(train) [175][30/63] lr: 1.0000e-04 eta: 16:09:38 time: 0.9050 data_time: 0.0288 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0244 loss: 0.0595 2022/08/26 05:10:20 - mmengine - INFO - Epoch(train) [175][35/63] lr: 1.0000e-04 eta: 16:09:38 time: 0.8738 data_time: 0.0275 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0221 loss: 0.0534 2022/08/26 05:10:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:10:25 - mmengine - INFO - Epoch(train) [175][40/63] lr: 1.0000e-04 eta: 16:08:45 time: 0.8783 data_time: 0.0307 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0204 loss: 0.0521 2022/08/26 05:10:29 - mmengine - INFO - Epoch(train) [175][45/63] lr: 1.0000e-04 eta: 16:08:45 time: 0.8498 data_time: 0.0317 memory: 25127 loss_text: 0.0369 loss_kernel: 0.0238 loss: 0.0607 2022/08/26 05:10:33 - mmengine - INFO - Epoch(train) [175][50/63] lr: 1.0000e-04 eta: 16:07:51 time: 0.8416 data_time: 0.0322 memory: 25127 loss_text: 0.0409 loss_kernel: 0.0260 loss: 0.0669 2022/08/26 05:10:37 - mmengine - INFO - Epoch(train) [175][55/63] lr: 1.0000e-04 eta: 16:07:51 time: 0.8324 data_time: 0.0285 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0242 loss: 0.0635 2022/08/26 05:10:42 - mmengine - INFO - Epoch(train) [175][60/63] lr: 1.0000e-04 eta: 16:06:59 time: 0.9005 data_time: 0.0580 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0221 loss: 0.0558 2022/08/26 05:10:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:12:12 - mmengine - INFO - Epoch(train) [176][5/63] lr: 1.0000e-04 eta: 16:06:59 time: 9.1643 data_time: 8.3717 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0227 loss: 0.0559 2022/08/26 05:12:17 - mmengine - INFO - Epoch(train) [176][10/63] lr: 1.0000e-04 eta: 16:09:07 time: 9.2482 data_time: 8.3991 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0264 loss: 0.0676 2022/08/26 05:12:21 - mmengine - INFO - Epoch(train) [176][15/63] lr: 1.0000e-04 eta: 16:09:07 time: 0.9007 data_time: 0.0386 memory: 25127 loss_text: 0.0398 loss_kernel: 0.0257 loss: 0.0655 2022/08/26 05:12:25 - mmengine - INFO - Epoch(train) [176][20/63] lr: 1.0000e-04 eta: 16:08:13 time: 0.8670 data_time: 0.0175 memory: 25127 loss_text: 0.0381 loss_kernel: 0.0236 loss: 0.0618 2022/08/26 05:12:30 - mmengine - INFO - Epoch(train) [176][25/63] lr: 1.0000e-04 eta: 16:08:13 time: 0.8633 data_time: 0.0348 memory: 25127 loss_text: 0.0386 loss_kernel: 0.0238 loss: 0.0624 2022/08/26 05:12:34 - mmengine - INFO - Epoch(train) [176][30/63] lr: 1.0000e-04 eta: 16:07:20 time: 0.8573 data_time: 0.0278 memory: 25127 loss_text: 0.0334 loss_kernel: 0.0232 loss: 0.0566 2022/08/26 05:12:38 - mmengine - INFO - Epoch(train) [176][35/63] lr: 1.0000e-04 eta: 16:07:20 time: 0.8395 data_time: 0.0196 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0212 loss: 0.0494 2022/08/26 05:12:42 - mmengine - INFO - Epoch(train) [176][40/63] lr: 1.0000e-04 eta: 16:06:26 time: 0.8536 data_time: 0.0260 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0198 loss: 0.0470 2022/08/26 05:12:47 - mmengine - INFO - Epoch(train) [176][45/63] lr: 1.0000e-04 eta: 16:06:26 time: 0.8621 data_time: 0.0298 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0202 loss: 0.0495 2022/08/26 05:12:51 - mmengine - INFO - Epoch(train) [176][50/63] lr: 1.0000e-04 eta: 16:05:33 time: 0.8456 data_time: 0.0323 memory: 25127 loss_text: 0.0421 loss_kernel: 0.0256 loss: 0.0677 2022/08/26 05:12:55 - mmengine - INFO - Epoch(train) [176][55/63] lr: 1.0000e-04 eta: 16:05:33 time: 0.8333 data_time: 0.0261 memory: 25127 loss_text: 0.0420 loss_kernel: 0.0253 loss: 0.0673 2022/08/26 05:12:59 - mmengine - INFO - Epoch(train) [176][60/63] lr: 1.0000e-04 eta: 16:04:39 time: 0.8507 data_time: 0.0206 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0194 loss: 0.0477 2022/08/26 05:13:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:14:30 - mmengine - INFO - Epoch(train) [177][5/63] lr: 1.0000e-04 eta: 16:04:39 time: 9.2076 data_time: 8.4127 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0203 loss: 0.0512 2022/08/26 05:14:34 - mmengine - INFO - Epoch(train) [177][10/63] lr: 1.0000e-04 eta: 16:06:47 time: 9.2805 data_time: 8.4265 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0225 loss: 0.0562 2022/08/26 05:14:39 - mmengine - INFO - Epoch(train) [177][15/63] lr: 1.0000e-04 eta: 16:06:47 time: 0.8994 data_time: 0.0281 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0236 loss: 0.0590 2022/08/26 05:14:43 - mmengine - INFO - Epoch(train) [177][20/63] lr: 1.0000e-04 eta: 16:05:54 time: 0.8892 data_time: 0.0234 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0231 loss: 0.0583 2022/08/26 05:14:48 - mmengine - INFO - Epoch(train) [177][25/63] lr: 1.0000e-04 eta: 16:05:54 time: 0.8799 data_time: 0.0357 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0208 loss: 0.0529 2022/08/26 05:14:52 - mmengine - INFO - Epoch(train) [177][30/63] lr: 1.0000e-04 eta: 16:05:01 time: 0.8803 data_time: 0.0297 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0196 loss: 0.0496 2022/08/26 05:14:57 - mmengine - INFO - Epoch(train) [177][35/63] lr: 1.0000e-04 eta: 16:05:01 time: 0.8804 data_time: 0.0307 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0236 loss: 0.0624 2022/08/26 05:15:01 - mmengine - INFO - Epoch(train) [177][40/63] lr: 1.0000e-04 eta: 16:04:09 time: 0.8798 data_time: 0.0281 memory: 25127 loss_text: 0.0459 loss_kernel: 0.0269 loss: 0.0728 2022/08/26 05:15:05 - mmengine - INFO - Epoch(train) [177][45/63] lr: 1.0000e-04 eta: 16:04:09 time: 0.8815 data_time: 0.0245 memory: 25127 loss_text: 0.0357 loss_kernel: 0.0226 loss: 0.0583 2022/08/26 05:15:10 - mmengine - INFO - Epoch(train) [177][50/63] lr: 1.0000e-04 eta: 16:03:17 time: 0.8934 data_time: 0.0319 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0225 loss: 0.0573 2022/08/26 05:15:14 - mmengine - INFO - Epoch(train) [177][55/63] lr: 1.0000e-04 eta: 16:03:17 time: 0.8762 data_time: 0.0270 memory: 25127 loss_text: 0.0359 loss_kernel: 0.0234 loss: 0.0592 2022/08/26 05:15:18 - mmengine - INFO - Epoch(train) [177][60/63] lr: 1.0000e-04 eta: 16:02:23 time: 0.8441 data_time: 0.0236 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0202 loss: 0.0495 2022/08/26 05:15:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:16:48 - mmengine - INFO - Epoch(train) [178][5/63] lr: 1.0000e-04 eta: 16:02:23 time: 9.1150 data_time: 8.3339 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0197 loss: 0.0475 2022/08/26 05:16:53 - mmengine - INFO - Epoch(train) [178][10/63] lr: 1.0000e-04 eta: 16:04:27 time: 9.1954 data_time: 8.3713 memory: 25127 loss_text: 0.0338 loss_kernel: 0.0222 loss: 0.0560 2022/08/26 05:16:57 - mmengine - INFO - Epoch(train) [178][15/63] lr: 1.0000e-04 eta: 16:04:27 time: 0.8513 data_time: 0.0528 memory: 25127 loss_text: 0.0398 loss_kernel: 0.0277 loss: 0.0675 2022/08/26 05:17:02 - mmengine - INFO - Epoch(train) [178][20/63] lr: 1.0000e-04 eta: 16:03:36 time: 0.9231 data_time: 0.0293 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0252 loss: 0.0583 2022/08/26 05:17:06 - mmengine - INFO - Epoch(train) [178][25/63] lr: 1.0000e-04 eta: 16:03:36 time: 0.9466 data_time: 0.0367 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0217 loss: 0.0553 2022/08/26 05:17:10 - mmengine - INFO - Epoch(train) [178][30/63] lr: 1.0000e-04 eta: 16:02:42 time: 0.8441 data_time: 0.0236 memory: 25127 loss_text: 0.0387 loss_kernel: 0.0235 loss: 0.0621 2022/08/26 05:17:15 - mmengine - INFO - Epoch(train) [178][35/63] lr: 1.0000e-04 eta: 16:02:42 time: 0.8895 data_time: 0.0275 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0214 loss: 0.0535 2022/08/26 05:17:19 - mmengine - INFO - Epoch(train) [178][40/63] lr: 1.0000e-04 eta: 16:01:50 time: 0.8891 data_time: 0.0285 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0199 loss: 0.0482 2022/08/26 05:17:24 - mmengine - INFO - Epoch(train) [178][45/63] lr: 1.0000e-04 eta: 16:01:50 time: 0.8683 data_time: 0.0250 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0201 loss: 0.0501 2022/08/26 05:17:28 - mmengine - INFO - Epoch(train) [178][50/63] lr: 1.0000e-04 eta: 16:00:58 time: 0.8804 data_time: 0.0328 memory: 25127 loss_text: 0.0378 loss_kernel: 0.0242 loss: 0.0619 2022/08/26 05:17:32 - mmengine - INFO - Epoch(train) [178][55/63] lr: 1.0000e-04 eta: 16:00:58 time: 0.8619 data_time: 0.0290 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0247 loss: 0.0620 2022/08/26 05:17:36 - mmengine - INFO - Epoch(train) [178][60/63] lr: 1.0000e-04 eta: 16:00:05 time: 0.8520 data_time: 0.0205 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0238 loss: 0.0591 2022/08/26 05:17:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:19:06 - mmengine - INFO - Epoch(train) [179][5/63] lr: 1.0000e-04 eta: 16:00:05 time: 9.1309 data_time: 8.3169 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0192 loss: 0.0469 2022/08/26 05:19:11 - mmengine - INFO - Epoch(train) [179][10/63] lr: 1.0000e-04 eta: 16:02:08 time: 9.1901 data_time: 8.3494 memory: 25127 loss_text: 0.0399 loss_kernel: 0.0243 loss: 0.0642 2022/08/26 05:19:15 - mmengine - INFO - Epoch(train) [179][15/63] lr: 1.0000e-04 eta: 16:02:08 time: 0.8734 data_time: 0.0424 memory: 25127 loss_text: 0.0445 loss_kernel: 0.0264 loss: 0.0709 2022/08/26 05:19:19 - mmengine - INFO - Epoch(train) [179][20/63] lr: 1.0000e-04 eta: 16:01:15 time: 0.8652 data_time: 0.0261 memory: 25127 loss_text: 0.0369 loss_kernel: 0.0233 loss: 0.0602 2022/08/26 05:19:23 - mmengine - INFO - Epoch(train) [179][25/63] lr: 1.0000e-04 eta: 16:01:15 time: 0.8332 data_time: 0.0372 memory: 25127 loss_text: 0.0405 loss_kernel: 0.0244 loss: 0.0650 2022/08/26 05:19:27 - mmengine - INFO - Epoch(train) [179][30/63] lr: 1.0000e-04 eta: 16:00:21 time: 0.8013 data_time: 0.0272 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0222 loss: 0.0583 2022/08/26 05:19:32 - mmengine - INFO - Epoch(train) [179][35/63] lr: 1.0000e-04 eta: 16:00:21 time: 0.8771 data_time: 0.0267 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0197 loss: 0.0483 2022/08/26 05:19:36 - mmengine - INFO - Epoch(train) [179][40/63] lr: 1.0000e-04 eta: 15:59:29 time: 0.8796 data_time: 0.0286 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0209 loss: 0.0519 2022/08/26 05:19:40 - mmengine - INFO - Epoch(train) [179][45/63] lr: 1.0000e-04 eta: 15:59:29 time: 0.8280 data_time: 0.0276 memory: 25127 loss_text: 0.0347 loss_kernel: 0.0227 loss: 0.0573 2022/08/26 05:19:44 - mmengine - INFO - Epoch(train) [179][50/63] lr: 1.0000e-04 eta: 15:58:36 time: 0.8376 data_time: 0.0333 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0218 loss: 0.0548 2022/08/26 05:19:49 - mmengine - INFO - Epoch(train) [179][55/63] lr: 1.0000e-04 eta: 15:58:36 time: 0.9205 data_time: 0.0341 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0213 loss: 0.0532 2022/08/26 05:19:54 - mmengine - INFO - Epoch(train) [179][60/63] lr: 1.0000e-04 eta: 15:57:45 time: 0.9225 data_time: 0.0270 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0248 loss: 0.0643 2022/08/26 05:19:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:21:25 - mmengine - INFO - Epoch(train) [180][5/63] lr: 1.0000e-04 eta: 15:57:45 time: 9.2806 data_time: 8.5011 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0218 loss: 0.0537 2022/08/26 05:21:29 - mmengine - INFO - Epoch(train) [180][10/63] lr: 1.0000e-04 eta: 15:59:50 time: 9.3526 data_time: 8.5166 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0195 loss: 0.0470 2022/08/26 05:21:34 - mmengine - INFO - Epoch(train) [180][15/63] lr: 1.0000e-04 eta: 15:59:50 time: 0.8761 data_time: 0.0262 memory: 25127 loss_text: 0.0315 loss_kernel: 0.0200 loss: 0.0515 2022/08/26 05:21:38 - mmengine - INFO - Epoch(train) [180][20/63] lr: 1.0000e-04 eta: 15:58:58 time: 0.8757 data_time: 0.0210 memory: 25127 loss_text: 0.0325 loss_kernel: 0.0206 loss: 0.0532 2022/08/26 05:21:42 - mmengine - INFO - Epoch(train) [180][25/63] lr: 1.0000e-04 eta: 15:58:58 time: 0.8613 data_time: 0.0310 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0227 loss: 0.0558 2022/08/26 05:21:47 - mmengine - INFO - Epoch(train) [180][30/63] lr: 1.0000e-04 eta: 15:58:06 time: 0.8546 data_time: 0.0316 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0237 loss: 0.0588 2022/08/26 05:21:51 - mmengine - INFO - Epoch(train) [180][35/63] lr: 1.0000e-04 eta: 15:58:06 time: 0.8751 data_time: 0.0325 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0218 loss: 0.0531 2022/08/26 05:21:56 - mmengine - INFO - Epoch(train) [180][40/63] lr: 1.0000e-04 eta: 15:57:14 time: 0.8946 data_time: 0.0305 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0205 loss: 0.0495 2022/08/26 05:22:00 - mmengine - INFO - Epoch(train) [180][45/63] lr: 1.0000e-04 eta: 15:57:14 time: 0.8850 data_time: 0.0294 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0203 loss: 0.0496 2022/08/26 05:22:04 - mmengine - INFO - Epoch(train) [180][50/63] lr: 1.0000e-04 eta: 15:56:22 time: 0.8653 data_time: 0.0314 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0189 loss: 0.0458 2022/08/26 05:22:08 - mmengine - INFO - Epoch(train) [180][55/63] lr: 1.0000e-04 eta: 15:56:22 time: 0.8442 data_time: 0.0339 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0204 loss: 0.0508 2022/08/26 05:22:13 - mmengine - INFO - Epoch(train) [180][60/63] lr: 1.0000e-04 eta: 15:55:29 time: 0.8364 data_time: 0.0262 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0217 loss: 0.0539 2022/08/26 05:22:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:22:15 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/26 05:23:48 - mmengine - INFO - Epoch(train) [181][5/63] lr: 1.0000e-04 eta: 15:55:29 time: 9.0891 data_time: 8.3157 memory: 25127 loss_text: 0.0327 loss_kernel: 0.0223 loss: 0.0550 2022/08/26 05:23:52 - mmengine - INFO - Epoch(train) [181][10/63] lr: 1.0000e-04 eta: 15:57:29 time: 9.1614 data_time: 8.3365 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0210 loss: 0.0491 2022/08/26 05:23:56 - mmengine - INFO - Epoch(train) [181][15/63] lr: 1.0000e-04 eta: 15:57:29 time: 0.8457 data_time: 0.0327 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0206 loss: 0.0489 2022/08/26 05:24:01 - mmengine - INFO - Epoch(train) [181][20/63] lr: 1.0000e-04 eta: 15:56:37 time: 0.8526 data_time: 0.0219 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0210 loss: 0.0539 2022/08/26 05:24:05 - mmengine - INFO - Epoch(train) [181][25/63] lr: 1.0000e-04 eta: 15:56:37 time: 0.8655 data_time: 0.0286 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0210 loss: 0.0520 2022/08/26 05:24:09 - mmengine - INFO - Epoch(train) [181][30/63] lr: 1.0000e-04 eta: 15:55:45 time: 0.8721 data_time: 0.0357 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0219 loss: 0.0528 2022/08/26 05:24:14 - mmengine - INFO - Epoch(train) [181][35/63] lr: 1.0000e-04 eta: 15:55:45 time: 0.8981 data_time: 0.0439 memory: 25127 loss_text: 0.0367 loss_kernel: 0.0238 loss: 0.0605 2022/08/26 05:24:18 - mmengine - INFO - Epoch(train) [181][40/63] lr: 1.0000e-04 eta: 15:54:53 time: 0.8716 data_time: 0.0299 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0226 loss: 0.0578 2022/08/26 05:24:22 - mmengine - INFO - Epoch(train) [181][45/63] lr: 1.0000e-04 eta: 15:54:53 time: 0.8434 data_time: 0.0267 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0208 loss: 0.0522 2022/08/26 05:24:27 - mmengine - INFO - Epoch(train) [181][50/63] lr: 1.0000e-04 eta: 15:54:01 time: 0.8478 data_time: 0.0321 memory: 25127 loss_text: 0.0339 loss_kernel: 0.0223 loss: 0.0561 2022/08/26 05:24:31 - mmengine - INFO - Epoch(train) [181][55/63] lr: 1.0000e-04 eta: 15:54:01 time: 0.8600 data_time: 0.0290 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0236 loss: 0.0609 2022/08/26 05:24:35 - mmengine - INFO - Epoch(train) [181][60/63] lr: 1.0000e-04 eta: 15:53:09 time: 0.8721 data_time: 0.0230 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0207 loss: 0.0528 2022/08/26 05:24:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:26:06 - mmengine - INFO - Epoch(train) [182][5/63] lr: 1.0000e-04 eta: 15:53:09 time: 9.2851 data_time: 8.4782 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0189 loss: 0.0458 2022/08/26 05:26:11 - mmengine - INFO - Epoch(train) [182][10/63] lr: 1.0000e-04 eta: 15:55:11 time: 9.3142 data_time: 8.5067 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0201 loss: 0.0473 2022/08/26 05:26:15 - mmengine - INFO - Epoch(train) [182][15/63] lr: 1.0000e-04 eta: 15:55:11 time: 0.8255 data_time: 0.0391 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0240 loss: 0.0607 2022/08/26 05:26:19 - mmengine - INFO - Epoch(train) [182][20/63] lr: 1.0000e-04 eta: 15:54:19 time: 0.8500 data_time: 0.0256 memory: 25127 loss_text: 0.0436 loss_kernel: 0.0262 loss: 0.0698 2022/08/26 05:26:23 - mmengine - INFO - Epoch(train) [182][25/63] lr: 1.0000e-04 eta: 15:54:19 time: 0.8695 data_time: 0.0417 memory: 25127 loss_text: 0.0347 loss_kernel: 0.0232 loss: 0.0580 2022/08/26 05:26:27 - mmengine - INFO - Epoch(train) [182][30/63] lr: 1.0000e-04 eta: 15:53:26 time: 0.8081 data_time: 0.0246 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0232 loss: 0.0592 2022/08/26 05:26:31 - mmengine - INFO - Epoch(train) [182][35/63] lr: 1.0000e-04 eta: 15:53:26 time: 0.8060 data_time: 0.0224 memory: 25127 loss_text: 0.0342 loss_kernel: 0.0216 loss: 0.0558 2022/08/26 05:26:36 - mmengine - INFO - Epoch(train) [182][40/63] lr: 1.0000e-04 eta: 15:52:33 time: 0.8271 data_time: 0.0310 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0185 loss: 0.0444 2022/08/26 05:26:41 - mmengine - INFO - Epoch(train) [182][45/63] lr: 1.0000e-04 eta: 15:52:33 time: 0.9722 data_time: 0.0392 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0204 loss: 0.0470 2022/08/26 05:26:45 - mmengine - INFO - Epoch(train) [182][50/63] lr: 1.0000e-04 eta: 15:51:44 time: 0.9696 data_time: 0.0483 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0225 loss: 0.0538 2022/08/26 05:26:49 - mmengine - INFO - Epoch(train) [182][55/63] lr: 1.0000e-04 eta: 15:51:44 time: 0.8229 data_time: 0.0318 memory: 25127 loss_text: 0.0325 loss_kernel: 0.0213 loss: 0.0538 2022/08/26 05:26:53 - mmengine - INFO - Epoch(train) [182][60/63] lr: 1.0000e-04 eta: 15:50:51 time: 0.8155 data_time: 0.0176 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0184 loss: 0.0447 2022/08/26 05:26:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:28:22 - mmengine - INFO - Epoch(train) [183][5/63] lr: 1.0000e-04 eta: 15:50:51 time: 9.0300 data_time: 8.2296 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0191 loss: 0.0476 2022/08/26 05:28:27 - mmengine - INFO - Epoch(train) [183][10/63] lr: 1.0000e-04 eta: 15:52:47 time: 9.0950 data_time: 8.2570 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0193 loss: 0.0468 2022/08/26 05:28:32 - mmengine - INFO - Epoch(train) [183][15/63] lr: 1.0000e-04 eta: 15:52:47 time: 0.9287 data_time: 0.0376 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0198 loss: 0.0465 2022/08/26 05:28:36 - mmengine - INFO - Epoch(train) [183][20/63] lr: 1.0000e-04 eta: 15:51:57 time: 0.9340 data_time: 0.0314 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0190 loss: 0.0458 2022/08/26 05:28:40 - mmengine - INFO - Epoch(train) [183][25/63] lr: 1.0000e-04 eta: 15:51:57 time: 0.8895 data_time: 0.0427 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0200 loss: 0.0500 2022/08/26 05:28:45 - mmengine - INFO - Epoch(train) [183][30/63] lr: 1.0000e-04 eta: 15:51:05 time: 0.8751 data_time: 0.0333 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0205 loss: 0.0510 2022/08/26 05:28:49 - mmengine - INFO - Epoch(train) [183][35/63] lr: 1.0000e-04 eta: 15:51:05 time: 0.8725 data_time: 0.0341 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0213 loss: 0.0492 2022/08/26 05:28:53 - mmengine - INFO - Epoch(train) [183][40/63] lr: 1.0000e-04 eta: 15:50:14 time: 0.8661 data_time: 0.0271 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0232 loss: 0.0554 2022/08/26 05:28:58 - mmengine - INFO - Epoch(train) [183][45/63] lr: 1.0000e-04 eta: 15:50:14 time: 0.8628 data_time: 0.0264 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0212 loss: 0.0531 2022/08/26 05:29:02 - mmengine - INFO - Epoch(train) [183][50/63] lr: 1.0000e-04 eta: 15:49:23 time: 0.8813 data_time: 0.0375 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0200 loss: 0.0502 2022/08/26 05:29:07 - mmengine - INFO - Epoch(train) [183][55/63] lr: 1.0000e-04 eta: 15:49:23 time: 0.8737 data_time: 0.0337 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0218 loss: 0.0568 2022/08/26 05:29:11 - mmengine - INFO - Epoch(train) [183][60/63] lr: 1.0000e-04 eta: 15:48:31 time: 0.8449 data_time: 0.0248 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0216 loss: 0.0534 2022/08/26 05:29:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:30:41 - mmengine - INFO - Epoch(train) [184][5/63] lr: 1.0000e-04 eta: 15:48:31 time: 9.1408 data_time: 8.3632 memory: 25127 loss_text: 0.0398 loss_kernel: 0.0234 loss: 0.0632 2022/08/26 05:30:45 - mmengine - INFO - Epoch(train) [184][10/63] lr: 1.0000e-04 eta: 15:50:29 time: 9.2163 data_time: 8.3778 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0221 loss: 0.0562 2022/08/26 05:30:49 - mmengine - INFO - Epoch(train) [184][15/63] lr: 1.0000e-04 eta: 15:50:29 time: 0.8439 data_time: 0.0319 memory: 25127 loss_text: 0.0392 loss_kernel: 0.0250 loss: 0.0642 2022/08/26 05:30:53 - mmengine - INFO - Epoch(train) [184][20/63] lr: 1.0000e-04 eta: 15:49:36 time: 0.8264 data_time: 0.0222 memory: 25127 loss_text: 0.0401 loss_kernel: 0.0257 loss: 0.0659 2022/08/26 05:30:58 - mmengine - INFO - Epoch(train) [184][25/63] lr: 1.0000e-04 eta: 15:49:36 time: 0.8494 data_time: 0.0344 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0191 loss: 0.0466 2022/08/26 05:31:02 - mmengine - INFO - Epoch(train) [184][30/63] lr: 1.0000e-04 eta: 15:48:45 time: 0.8593 data_time: 0.0331 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0193 loss: 0.0475 2022/08/26 05:31:06 - mmengine - INFO - Epoch(train) [184][35/63] lr: 1.0000e-04 eta: 15:48:45 time: 0.8541 data_time: 0.0230 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0205 loss: 0.0491 2022/08/26 05:31:11 - mmengine - INFO - Epoch(train) [184][40/63] lr: 1.0000e-04 eta: 15:47:54 time: 0.8876 data_time: 0.0272 memory: 25127 loss_text: 0.0289 loss_kernel: 0.0204 loss: 0.0493 2022/08/26 05:31:15 - mmengine - INFO - Epoch(train) [184][45/63] lr: 1.0000e-04 eta: 15:47:54 time: 0.8857 data_time: 0.0343 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0199 loss: 0.0492 2022/08/26 05:31:19 - mmengine - INFO - Epoch(train) [184][50/63] lr: 1.0000e-04 eta: 15:47:03 time: 0.8499 data_time: 0.0315 memory: 25127 loss_text: 0.0391 loss_kernel: 0.0247 loss: 0.0638 2022/08/26 05:31:23 - mmengine - INFO - Epoch(train) [184][55/63] lr: 1.0000e-04 eta: 15:47:03 time: 0.8422 data_time: 0.0258 memory: 25127 loss_text: 0.0376 loss_kernel: 0.0236 loss: 0.0612 2022/08/26 05:31:27 - mmengine - INFO - Epoch(train) [184][60/63] lr: 1.0000e-04 eta: 15:46:11 time: 0.8337 data_time: 0.0214 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0211 loss: 0.0544 2022/08/26 05:31:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:32:57 - mmengine - INFO - Epoch(train) [185][5/63] lr: 1.0000e-04 eta: 15:46:11 time: 9.1258 data_time: 8.3542 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0184 loss: 0.0448 2022/08/26 05:33:02 - mmengine - INFO - Epoch(train) [185][10/63] lr: 1.0000e-04 eta: 15:48:07 time: 9.1950 data_time: 8.3806 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0211 loss: 0.0521 2022/08/26 05:33:06 - mmengine - INFO - Epoch(train) [185][15/63] lr: 1.0000e-04 eta: 15:48:07 time: 0.8282 data_time: 0.0364 memory: 25127 loss_text: 0.0439 loss_kernel: 0.0260 loss: 0.0699 2022/08/26 05:33:11 - mmengine - INFO - Epoch(train) [185][20/63] lr: 1.0000e-04 eta: 15:47:16 time: 0.8950 data_time: 0.0175 memory: 25127 loss_text: 0.0433 loss_kernel: 0.0253 loss: 0.0687 2022/08/26 05:33:15 - mmengine - INFO - Epoch(train) [185][25/63] lr: 1.0000e-04 eta: 15:47:16 time: 0.9643 data_time: 0.0394 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0224 loss: 0.0578 2022/08/26 05:33:19 - mmengine - INFO - Epoch(train) [185][30/63] lr: 1.0000e-04 eta: 15:46:25 time: 0.8638 data_time: 0.0302 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0206 loss: 0.0518 2022/08/26 05:33:23 - mmengine - INFO - Epoch(train) [185][35/63] lr: 1.0000e-04 eta: 15:46:25 time: 0.8225 data_time: 0.0210 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0185 loss: 0.0445 2022/08/26 05:33:27 - mmengine - INFO - Epoch(train) [185][40/63] lr: 1.0000e-04 eta: 15:45:33 time: 0.8247 data_time: 0.0256 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0186 loss: 0.0446 2022/08/26 05:33:33 - mmengine - INFO - Epoch(train) [185][45/63] lr: 1.0000e-04 eta: 15:45:33 time: 0.9424 data_time: 0.0278 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0208 loss: 0.0514 2022/08/26 05:33:37 - mmengine - INFO - Epoch(train) [185][50/63] lr: 1.0000e-04 eta: 15:44:44 time: 0.9502 data_time: 0.0338 memory: 25127 loss_text: 0.0411 loss_kernel: 0.0258 loss: 0.0668 2022/08/26 05:33:41 - mmengine - INFO - Epoch(train) [185][55/63] lr: 1.0000e-04 eta: 15:44:44 time: 0.8351 data_time: 0.0285 memory: 25127 loss_text: 0.0412 loss_kernel: 0.0250 loss: 0.0662 2022/08/26 05:33:46 - mmengine - INFO - Epoch(train) [185][60/63] lr: 1.0000e-04 eta: 15:43:53 time: 0.8718 data_time: 0.0233 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0212 loss: 0.0543 2022/08/26 05:33:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:35:15 - mmengine - INFO - Epoch(train) [186][5/63] lr: 1.0000e-04 eta: 15:43:53 time: 9.1306 data_time: 8.3191 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0238 loss: 0.0612 2022/08/26 05:35:20 - mmengine - INFO - Epoch(train) [186][10/63] lr: 1.0000e-04 eta: 15:45:48 time: 9.1918 data_time: 8.3472 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0198 loss: 0.0483 2022/08/26 05:35:24 - mmengine - INFO - Epoch(train) [186][15/63] lr: 1.0000e-04 eta: 15:45:48 time: 0.8748 data_time: 0.0453 memory: 25127 loss_text: 0.0317 loss_kernel: 0.0214 loss: 0.0531 2022/08/26 05:35:28 - mmengine - INFO - Epoch(train) [186][20/63] lr: 1.0000e-04 eta: 15:44:57 time: 0.8456 data_time: 0.0207 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0219 loss: 0.0538 2022/08/26 05:35:33 - mmengine - INFO - Epoch(train) [186][25/63] lr: 1.0000e-04 eta: 15:44:57 time: 0.8513 data_time: 0.0312 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0203 loss: 0.0481 2022/08/26 05:35:37 - mmengine - INFO - Epoch(train) [186][30/63] lr: 1.0000e-04 eta: 15:44:06 time: 0.8739 data_time: 0.0465 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0188 loss: 0.0450 2022/08/26 05:35:41 - mmengine - INFO - Epoch(train) [186][35/63] lr: 1.0000e-04 eta: 15:44:06 time: 0.8631 data_time: 0.0364 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0182 loss: 0.0445 2022/08/26 05:35:46 - mmengine - INFO - Epoch(train) [186][40/63] lr: 1.0000e-04 eta: 15:43:15 time: 0.8587 data_time: 0.0267 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0197 loss: 0.0464 2022/08/26 05:35:50 - mmengine - INFO - Epoch(train) [186][45/63] lr: 1.0000e-04 eta: 15:43:15 time: 0.8696 data_time: 0.0280 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0219 loss: 0.0524 2022/08/26 05:35:54 - mmengine - INFO - Epoch(train) [186][50/63] lr: 1.0000e-04 eta: 15:42:24 time: 0.8495 data_time: 0.0270 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0213 loss: 0.0537 2022/08/26 05:35:59 - mmengine - INFO - Epoch(train) [186][55/63] lr: 1.0000e-04 eta: 15:42:24 time: 0.8376 data_time: 0.0306 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0189 loss: 0.0471 2022/08/26 05:36:03 - mmengine - INFO - Epoch(train) [186][60/63] lr: 1.0000e-04 eta: 15:41:33 time: 0.8773 data_time: 0.0414 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0210 loss: 0.0522 2022/08/26 05:36:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:37:34 - mmengine - INFO - Epoch(train) [187][5/63] lr: 1.0000e-04 eta: 15:41:33 time: 9.2200 data_time: 8.4291 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0224 loss: 0.0572 2022/08/26 05:37:38 - mmengine - INFO - Epoch(train) [187][10/63] lr: 1.0000e-04 eta: 15:43:29 time: 9.2841 data_time: 8.4492 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0247 loss: 0.0644 2022/08/26 05:37:42 - mmengine - INFO - Epoch(train) [187][15/63] lr: 1.0000e-04 eta: 15:43:29 time: 0.8654 data_time: 0.0354 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0240 loss: 0.0614 2022/08/26 05:37:47 - mmengine - INFO - Epoch(train) [187][20/63] lr: 1.0000e-04 eta: 15:42:38 time: 0.8687 data_time: 0.0278 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0201 loss: 0.0483 2022/08/26 05:37:51 - mmengine - INFO - Epoch(train) [187][25/63] lr: 1.0000e-04 eta: 15:42:38 time: 0.8727 data_time: 0.0339 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0207 loss: 0.0510 2022/08/26 05:37:56 - mmengine - INFO - Epoch(train) [187][30/63] lr: 1.0000e-04 eta: 15:41:48 time: 0.8787 data_time: 0.0260 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0203 loss: 0.0503 2022/08/26 05:38:00 - mmengine - INFO - Epoch(train) [187][35/63] lr: 1.0000e-04 eta: 15:41:48 time: 0.8764 data_time: 0.0263 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0183 loss: 0.0443 2022/08/26 05:38:04 - mmengine - INFO - Epoch(train) [187][40/63] lr: 1.0000e-04 eta: 15:40:57 time: 0.8620 data_time: 0.0253 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0188 loss: 0.0463 2022/08/26 05:38:09 - mmengine - INFO - Epoch(train) [187][45/63] lr: 1.0000e-04 eta: 15:40:57 time: 0.8850 data_time: 0.0262 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0207 loss: 0.0519 2022/08/26 05:38:13 - mmengine - INFO - Epoch(train) [187][50/63] lr: 1.0000e-04 eta: 15:40:07 time: 0.8841 data_time: 0.0346 memory: 25127 loss_text: 0.0342 loss_kernel: 0.0223 loss: 0.0565 2022/08/26 05:38:17 - mmengine - INFO - Epoch(train) [187][55/63] lr: 1.0000e-04 eta: 15:40:07 time: 0.8558 data_time: 0.0263 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0194 loss: 0.0484 2022/08/26 05:38:21 - mmengine - INFO - Epoch(train) [187][60/63] lr: 1.0000e-04 eta: 15:39:17 time: 0.8442 data_time: 0.0228 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0178 loss: 0.0438 2022/08/26 05:38:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:39:52 - mmengine - INFO - Epoch(train) [188][5/63] lr: 1.0000e-04 eta: 15:39:17 time: 9.2437 data_time: 8.4502 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0204 loss: 0.0516 2022/08/26 05:39:56 - mmengine - INFO - Epoch(train) [188][10/63] lr: 1.0000e-04 eta: 15:41:11 time: 9.2772 data_time: 8.4614 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0192 loss: 0.0484 2022/08/26 05:40:01 - mmengine - INFO - Epoch(train) [188][15/63] lr: 1.0000e-04 eta: 15:41:11 time: 0.8950 data_time: 0.0264 memory: 25127 loss_text: 0.0289 loss_kernel: 0.0193 loss: 0.0482 2022/08/26 05:40:05 - mmengine - INFO - Epoch(train) [188][20/63] lr: 1.0000e-04 eta: 15:40:21 time: 0.9076 data_time: 0.0358 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0206 loss: 0.0503 2022/08/26 05:40:10 - mmengine - INFO - Epoch(train) [188][25/63] lr: 1.0000e-04 eta: 15:40:21 time: 0.8503 data_time: 0.0441 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0197 loss: 0.0470 2022/08/26 05:40:14 - mmengine - INFO - Epoch(train) [188][30/63] lr: 1.0000e-04 eta: 15:39:31 time: 0.8564 data_time: 0.0304 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0205 loss: 0.0504 2022/08/26 05:40:18 - mmengine - INFO - Epoch(train) [188][35/63] lr: 1.0000e-04 eta: 15:39:31 time: 0.8571 data_time: 0.0317 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0202 loss: 0.0493 2022/08/26 05:40:22 - mmengine - INFO - Epoch(train) [188][40/63] lr: 1.0000e-04 eta: 15:38:40 time: 0.8393 data_time: 0.0332 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0184 loss: 0.0455 2022/08/26 05:40:27 - mmengine - INFO - Epoch(train) [188][45/63] lr: 1.0000e-04 eta: 15:38:40 time: 0.8773 data_time: 0.0291 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0191 loss: 0.0474 2022/08/26 05:40:31 - mmengine - INFO - Epoch(train) [188][50/63] lr: 1.0000e-04 eta: 15:37:50 time: 0.8845 data_time: 0.0249 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0196 loss: 0.0465 2022/08/26 05:40:36 - mmengine - INFO - Epoch(train) [188][55/63] lr: 1.0000e-04 eta: 15:37:50 time: 0.8490 data_time: 0.0243 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0196 loss: 0.0456 2022/08/26 05:40:40 - mmengine - INFO - Epoch(train) [188][60/63] lr: 1.0000e-04 eta: 15:36:59 time: 0.8455 data_time: 0.0275 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0217 loss: 0.0539 2022/08/26 05:40:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:42:10 - mmengine - INFO - Epoch(train) [189][5/63] lr: 1.0000e-04 eta: 15:36:59 time: 9.1493 data_time: 8.3513 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0206 loss: 0.0522 2022/08/26 05:42:14 - mmengine - INFO - Epoch(train) [189][10/63] lr: 1.0000e-04 eta: 15:38:51 time: 9.1938 data_time: 8.3544 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0229 loss: 0.0581 2022/08/26 05:42:18 - mmengine - INFO - Epoch(train) [189][15/63] lr: 1.0000e-04 eta: 15:38:51 time: 0.8584 data_time: 0.0342 memory: 25127 loss_text: 0.0364 loss_kernel: 0.0243 loss: 0.0607 2022/08/26 05:42:23 - mmengine - INFO - Epoch(train) [189][20/63] lr: 1.0000e-04 eta: 15:38:01 time: 0.8807 data_time: 0.0444 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0234 loss: 0.0594 2022/08/26 05:42:27 - mmengine - INFO - Epoch(train) [189][25/63] lr: 1.0000e-04 eta: 15:38:01 time: 0.8534 data_time: 0.0309 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0217 loss: 0.0529 2022/08/26 05:42:31 - mmengine - INFO - Epoch(train) [189][30/63] lr: 1.0000e-04 eta: 15:37:11 time: 0.8576 data_time: 0.0304 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0221 loss: 0.0534 2022/08/26 05:42:36 - mmengine - INFO - Epoch(train) [189][35/63] lr: 1.0000e-04 eta: 15:37:11 time: 0.8676 data_time: 0.0365 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0212 loss: 0.0521 2022/08/26 05:42:40 - mmengine - INFO - Epoch(train) [189][40/63] lr: 1.0000e-04 eta: 15:36:19 time: 0.8223 data_time: 0.0261 memory: 25127 loss_text: 0.0303 loss_kernel: 0.0208 loss: 0.0510 2022/08/26 05:42:44 - mmengine - INFO - Epoch(train) [189][45/63] lr: 1.0000e-04 eta: 15:36:19 time: 0.8893 data_time: 0.0379 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0204 loss: 0.0512 2022/08/26 05:42:48 - mmengine - INFO - Epoch(train) [189][50/63] lr: 1.0000e-04 eta: 15:35:30 time: 0.8828 data_time: 0.0331 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0196 loss: 0.0466 2022/08/26 05:42:53 - mmengine - INFO - Epoch(train) [189][55/63] lr: 1.0000e-04 eta: 15:35:30 time: 0.8286 data_time: 0.0256 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0210 loss: 0.0468 2022/08/26 05:42:57 - mmengine - INFO - Epoch(train) [189][60/63] lr: 1.0000e-04 eta: 15:34:39 time: 0.8323 data_time: 0.0268 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0207 loss: 0.0464 2022/08/26 05:42:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:44:28 - mmengine - INFO - Epoch(train) [190][5/63] lr: 1.0000e-04 eta: 15:34:39 time: 9.2295 data_time: 8.4540 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0194 loss: 0.0466 2022/08/26 05:44:32 - mmengine - INFO - Epoch(train) [190][10/63] lr: 1.0000e-04 eta: 15:36:33 time: 9.3413 data_time: 8.5019 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0194 loss: 0.0468 2022/08/26 05:44:37 - mmengine - INFO - Epoch(train) [190][15/63] lr: 1.0000e-04 eta: 15:36:33 time: 0.9197 data_time: 0.0652 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0200 loss: 0.0468 2022/08/26 05:44:41 - mmengine - INFO - Epoch(train) [190][20/63] lr: 1.0000e-04 eta: 15:35:43 time: 0.8664 data_time: 0.0223 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0205 loss: 0.0472 2022/08/26 05:44:45 - mmengine - INFO - Epoch(train) [190][25/63] lr: 1.0000e-04 eta: 15:35:43 time: 0.8696 data_time: 0.0373 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0207 loss: 0.0491 2022/08/26 05:44:50 - mmengine - INFO - Epoch(train) [190][30/63] lr: 1.0000e-04 eta: 15:34:53 time: 0.8781 data_time: 0.0369 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0200 loss: 0.0480 2022/08/26 05:44:54 - mmengine - INFO - Epoch(train) [190][35/63] lr: 1.0000e-04 eta: 15:34:53 time: 0.8469 data_time: 0.0238 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0183 loss: 0.0453 2022/08/26 05:44:58 - mmengine - INFO - Epoch(train) [190][40/63] lr: 1.0000e-04 eta: 15:34:03 time: 0.8602 data_time: 0.0261 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0193 loss: 0.0467 2022/08/26 05:45:03 - mmengine - INFO - Epoch(train) [190][45/63] lr: 1.0000e-04 eta: 15:34:03 time: 0.8714 data_time: 0.0360 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0202 loss: 0.0471 2022/08/26 05:45:07 - mmengine - INFO - Epoch(train) [190][50/63] lr: 1.0000e-04 eta: 15:33:13 time: 0.8620 data_time: 0.0347 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0231 loss: 0.0591 2022/08/26 05:45:11 - mmengine - INFO - Epoch(train) [190][55/63] lr: 1.0000e-04 eta: 15:33:13 time: 0.8612 data_time: 0.0290 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0245 loss: 0.0667 2022/08/26 05:45:15 - mmengine - INFO - Epoch(train) [190][60/63] lr: 1.0000e-04 eta: 15:32:23 time: 0.8525 data_time: 0.0247 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0234 loss: 0.0609 2022/08/26 05:45:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:46:47 - mmengine - INFO - Epoch(train) [191][5/63] lr: 1.0000e-04 eta: 15:32:23 time: 9.2765 data_time: 8.4928 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0235 loss: 0.0585 2022/08/26 05:46:51 - mmengine - INFO - Epoch(train) [191][10/63] lr: 1.0000e-04 eta: 15:34:15 time: 9.3266 data_time: 8.5099 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0239 loss: 0.0591 2022/08/26 05:46:55 - mmengine - INFO - Epoch(train) [191][15/63] lr: 1.0000e-04 eta: 15:34:15 time: 0.8578 data_time: 0.0373 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0221 loss: 0.0529 2022/08/26 05:47:00 - mmengine - INFO - Epoch(train) [191][20/63] lr: 1.0000e-04 eta: 15:33:25 time: 0.8640 data_time: 0.0323 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0218 loss: 0.0498 2022/08/26 05:47:04 - mmengine - INFO - Epoch(train) [191][25/63] lr: 1.0000e-04 eta: 15:33:25 time: 0.8598 data_time: 0.0332 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0214 loss: 0.0504 2022/08/26 05:47:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:47:08 - mmengine - INFO - Epoch(train) [191][30/63] lr: 1.0000e-04 eta: 15:32:35 time: 0.8500 data_time: 0.0265 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0198 loss: 0.0479 2022/08/26 05:47:13 - mmengine - INFO - Epoch(train) [191][35/63] lr: 1.0000e-04 eta: 15:32:35 time: 0.8578 data_time: 0.0280 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0199 loss: 0.0482 2022/08/26 05:47:17 - mmengine - INFO - Epoch(train) [191][40/63] lr: 1.0000e-04 eta: 15:31:45 time: 0.8554 data_time: 0.0254 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0244 loss: 0.0641 2022/08/26 05:47:21 - mmengine - INFO - Epoch(train) [191][45/63] lr: 1.0000e-04 eta: 15:31:45 time: 0.8627 data_time: 0.0261 memory: 25127 loss_text: 0.0379 loss_kernel: 0.0235 loss: 0.0614 2022/08/26 05:47:25 - mmengine - INFO - Epoch(train) [191][50/63] lr: 1.0000e-04 eta: 15:30:55 time: 0.8449 data_time: 0.0280 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0203 loss: 0.0510 2022/08/26 05:47:29 - mmengine - INFO - Epoch(train) [191][55/63] lr: 1.0000e-04 eta: 15:30:55 time: 0.8230 data_time: 0.0255 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0211 loss: 0.0525 2022/08/26 05:47:34 - mmengine - INFO - Epoch(train) [191][60/63] lr: 1.0000e-04 eta: 15:30:05 time: 0.8393 data_time: 0.0258 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0222 loss: 0.0554 2022/08/26 05:47:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:49:04 - mmengine - INFO - Epoch(train) [192][5/63] lr: 1.0000e-04 eta: 15:30:05 time: 9.1746 data_time: 8.3742 memory: 25127 loss_text: 0.0396 loss_kernel: 0.0231 loss: 0.0627 2022/08/26 05:49:08 - mmengine - INFO - Epoch(train) [192][10/63] lr: 1.0000e-04 eta: 15:31:54 time: 9.2035 data_time: 8.3905 memory: 25127 loss_text: 0.0364 loss_kernel: 0.0222 loss: 0.0586 2022/08/26 05:49:13 - mmengine - INFO - Epoch(train) [192][15/63] lr: 1.0000e-04 eta: 15:31:54 time: 0.9029 data_time: 0.0309 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0211 loss: 0.0530 2022/08/26 05:49:17 - mmengine - INFO - Epoch(train) [192][20/63] lr: 1.0000e-04 eta: 15:31:04 time: 0.8767 data_time: 0.0209 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0220 loss: 0.0550 2022/08/26 05:49:21 - mmengine - INFO - Epoch(train) [192][25/63] lr: 1.0000e-04 eta: 15:31:04 time: 0.8111 data_time: 0.0299 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0222 loss: 0.0558 2022/08/26 05:49:25 - mmengine - INFO - Epoch(train) [192][30/63] lr: 1.0000e-04 eta: 15:30:14 time: 0.8372 data_time: 0.0316 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0210 loss: 0.0533 2022/08/26 05:49:29 - mmengine - INFO - Epoch(train) [192][35/63] lr: 1.0000e-04 eta: 15:30:14 time: 0.8445 data_time: 0.0292 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0200 loss: 0.0506 2022/08/26 05:49:34 - mmengine - INFO - Epoch(train) [192][40/63] lr: 1.0000e-04 eta: 15:29:25 time: 0.8687 data_time: 0.0531 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0190 loss: 0.0458 2022/08/26 05:49:38 - mmengine - INFO - Epoch(train) [192][45/63] lr: 1.0000e-04 eta: 15:29:25 time: 0.8526 data_time: 0.0544 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0191 loss: 0.0461 2022/08/26 05:49:42 - mmengine - INFO - Epoch(train) [192][50/63] lr: 1.0000e-04 eta: 15:28:35 time: 0.8566 data_time: 0.0303 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0193 loss: 0.0468 2022/08/26 05:49:47 - mmengine - INFO - Epoch(train) [192][55/63] lr: 1.0000e-04 eta: 15:28:35 time: 0.8703 data_time: 0.0309 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0186 loss: 0.0447 2022/08/26 05:49:51 - mmengine - INFO - Epoch(train) [192][60/63] lr: 1.0000e-04 eta: 15:27:46 time: 0.8757 data_time: 0.0275 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0185 loss: 0.0445 2022/08/26 05:49:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:51:20 - mmengine - INFO - Epoch(train) [193][5/63] lr: 1.0000e-04 eta: 15:27:46 time: 9.1053 data_time: 8.2560 memory: 25127 loss_text: 0.0476 loss_kernel: 0.0270 loss: 0.0745 2022/08/26 05:51:25 - mmengine - INFO - Epoch(train) [193][10/63] lr: 1.0000e-04 eta: 15:29:32 time: 9.1120 data_time: 8.2781 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0194 loss: 0.0475 2022/08/26 05:51:29 - mmengine - INFO - Epoch(train) [193][15/63] lr: 1.0000e-04 eta: 15:29:32 time: 0.8803 data_time: 0.0487 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0201 loss: 0.0492 2022/08/26 05:51:34 - mmengine - INFO - Epoch(train) [193][20/63] lr: 1.0000e-04 eta: 15:28:43 time: 0.8788 data_time: 0.0497 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0235 loss: 0.0596 2022/08/26 05:51:38 - mmengine - INFO - Epoch(train) [193][25/63] lr: 1.0000e-04 eta: 15:28:43 time: 0.8688 data_time: 0.0420 memory: 25127 loss_text: 0.0369 loss_kernel: 0.0236 loss: 0.0605 2022/08/26 05:51:42 - mmengine - INFO - Epoch(train) [193][30/63] lr: 1.0000e-04 eta: 15:27:53 time: 0.8604 data_time: 0.0266 memory: 25127 loss_text: 0.0334 loss_kernel: 0.0214 loss: 0.0549 2022/08/26 05:51:47 - mmengine - INFO - Epoch(train) [193][35/63] lr: 1.0000e-04 eta: 15:27:53 time: 0.8630 data_time: 0.0301 memory: 25127 loss_text: 0.0396 loss_kernel: 0.0248 loss: 0.0644 2022/08/26 05:51:51 - mmengine - INFO - Epoch(train) [193][40/63] lr: 1.0000e-04 eta: 15:27:04 time: 0.8809 data_time: 0.0288 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0236 loss: 0.0602 2022/08/26 05:51:55 - mmengine - INFO - Epoch(train) [193][45/63] lr: 1.0000e-04 eta: 15:27:04 time: 0.8991 data_time: 0.0369 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0226 loss: 0.0579 2022/08/26 05:52:00 - mmengine - INFO - Epoch(train) [193][50/63] lr: 1.0000e-04 eta: 15:26:16 time: 0.8898 data_time: 0.0317 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0219 loss: 0.0554 2022/08/26 05:52:04 - mmengine - INFO - Epoch(train) [193][55/63] lr: 1.0000e-04 eta: 15:26:16 time: 0.8738 data_time: 0.0274 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0202 loss: 0.0493 2022/08/26 05:52:09 - mmengine - INFO - Epoch(train) [193][60/63] lr: 1.0000e-04 eta: 15:25:26 time: 0.8581 data_time: 0.0278 memory: 25127 loss_text: 0.0357 loss_kernel: 0.0224 loss: 0.0581 2022/08/26 05:52:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:53:37 - mmengine - INFO - Epoch(train) [194][5/63] lr: 1.0000e-04 eta: 15:25:26 time: 9.0154 data_time: 8.2199 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0246 loss: 0.0661 2022/08/26 05:53:41 - mmengine - INFO - Epoch(train) [194][10/63] lr: 1.0000e-04 eta: 15:27:09 time: 9.0313 data_time: 8.2289 memory: 25127 loss_text: 0.0404 loss_kernel: 0.0247 loss: 0.0651 2022/08/26 05:53:45 - mmengine - INFO - Epoch(train) [194][15/63] lr: 1.0000e-04 eta: 15:27:09 time: 0.8382 data_time: 0.0367 memory: 25127 loss_text: 0.0376 loss_kernel: 0.0239 loss: 0.0615 2022/08/26 05:53:50 - mmengine - INFO - Epoch(train) [194][20/63] lr: 1.0000e-04 eta: 15:26:20 time: 0.8546 data_time: 0.0301 memory: 25127 loss_text: 0.0385 loss_kernel: 0.0242 loss: 0.0627 2022/08/26 05:53:54 - mmengine - INFO - Epoch(train) [194][25/63] lr: 1.0000e-04 eta: 15:26:20 time: 0.8377 data_time: 0.0302 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0224 loss: 0.0598 2022/08/26 05:53:58 - mmengine - INFO - Epoch(train) [194][30/63] lr: 1.0000e-04 eta: 15:25:30 time: 0.8528 data_time: 0.0357 memory: 25127 loss_text: 0.0440 loss_kernel: 0.0235 loss: 0.0675 2022/08/26 05:54:02 - mmengine - INFO - Epoch(train) [194][35/63] lr: 1.0000e-04 eta: 15:25:30 time: 0.8385 data_time: 0.0312 memory: 25127 loss_text: 0.0503 loss_kernel: 0.0253 loss: 0.0756 2022/08/26 05:54:06 - mmengine - INFO - Epoch(train) [194][40/63] lr: 1.0000e-04 eta: 15:24:40 time: 0.8220 data_time: 0.0292 memory: 25127 loss_text: 0.0481 loss_kernel: 0.0265 loss: 0.0746 2022/08/26 05:54:11 - mmengine - INFO - Epoch(train) [194][45/63] lr: 1.0000e-04 eta: 15:24:40 time: 0.8374 data_time: 0.0250 memory: 25127 loss_text: 0.0419 loss_kernel: 0.0254 loss: 0.0673 2022/08/26 05:54:15 - mmengine - INFO - Epoch(train) [194][50/63] lr: 1.0000e-04 eta: 15:23:52 time: 0.8991 data_time: 0.0325 memory: 25127 loss_text: 0.0389 loss_kernel: 0.0243 loss: 0.0632 2022/08/26 05:54:19 - mmengine - INFO - Epoch(train) [194][55/63] lr: 1.0000e-04 eta: 15:23:52 time: 0.8783 data_time: 0.0361 memory: 25127 loss_text: 0.0434 loss_kernel: 0.0256 loss: 0.0690 2022/08/26 05:54:24 - mmengine - INFO - Epoch(train) [194][60/63] lr: 1.0000e-04 eta: 15:23:03 time: 0.8326 data_time: 0.0245 memory: 25127 loss_text: 0.0426 loss_kernel: 0.0252 loss: 0.0678 2022/08/26 05:54:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:55:54 - mmengine - INFO - Epoch(train) [195][5/63] lr: 1.0000e-04 eta: 15:23:03 time: 9.1881 data_time: 8.4035 memory: 25127 loss_text: 0.0402 loss_kernel: 0.0230 loss: 0.0632 2022/08/26 05:55:58 - mmengine - INFO - Epoch(train) [195][10/63] lr: 1.0000e-04 eta: 15:24:48 time: 9.2034 data_time: 8.4195 memory: 25127 loss_text: 0.0430 loss_kernel: 0.0253 loss: 0.0683 2022/08/26 05:56:02 - mmengine - INFO - Epoch(train) [195][15/63] lr: 1.0000e-04 eta: 15:24:48 time: 0.8424 data_time: 0.0382 memory: 25127 loss_text: 0.0391 loss_kernel: 0.0246 loss: 0.0637 2022/08/26 05:56:06 - mmengine - INFO - Epoch(train) [195][20/63] lr: 1.0000e-04 eta: 15:23:59 time: 0.8502 data_time: 0.0370 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0226 loss: 0.0577 2022/08/26 05:56:11 - mmengine - INFO - Epoch(train) [195][25/63] lr: 1.0000e-04 eta: 15:23:59 time: 0.8279 data_time: 0.0418 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0249 loss: 0.0672 2022/08/26 05:56:15 - mmengine - INFO - Epoch(train) [195][30/63] lr: 1.0000e-04 eta: 15:23:09 time: 0.8268 data_time: 0.0278 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0239 loss: 0.0636 2022/08/26 05:56:19 - mmengine - INFO - Epoch(train) [195][35/63] lr: 1.0000e-04 eta: 15:23:09 time: 0.8359 data_time: 0.0312 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0208 loss: 0.0521 2022/08/26 05:56:23 - mmengine - INFO - Epoch(train) [195][40/63] lr: 1.0000e-04 eta: 15:22:20 time: 0.8479 data_time: 0.0450 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0197 loss: 0.0493 2022/08/26 05:56:27 - mmengine - INFO - Epoch(train) [195][45/63] lr: 1.0000e-04 eta: 15:22:20 time: 0.8335 data_time: 0.0317 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0190 loss: 0.0475 2022/08/26 05:56:32 - mmengine - INFO - Epoch(train) [195][50/63] lr: 1.0000e-04 eta: 15:21:31 time: 0.8807 data_time: 0.0222 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0196 loss: 0.0471 2022/08/26 05:56:36 - mmengine - INFO - Epoch(train) [195][55/63] lr: 1.0000e-04 eta: 15:21:31 time: 0.8989 data_time: 0.0319 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0206 loss: 0.0494 2022/08/26 05:56:40 - mmengine - INFO - Epoch(train) [195][60/63] lr: 1.0000e-04 eta: 15:20:42 time: 0.8401 data_time: 0.0260 memory: 25127 loss_text: 0.0449 loss_kernel: 0.0271 loss: 0.0720 2022/08/26 05:56:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 05:58:10 - mmengine - INFO - Epoch(train) [196][5/63] lr: 1.0000e-04 eta: 15:20:42 time: 9.1173 data_time: 8.2941 memory: 25127 loss_text: 0.0466 loss_kernel: 0.0241 loss: 0.0707 2022/08/26 05:58:14 - mmengine - INFO - Epoch(train) [196][10/63] lr: 1.0000e-04 eta: 15:22:25 time: 9.1394 data_time: 8.3125 memory: 25127 loss_text: 0.0446 loss_kernel: 0.0236 loss: 0.0682 2022/08/26 05:58:18 - mmengine - INFO - Epoch(train) [196][15/63] lr: 1.0000e-04 eta: 15:22:25 time: 0.8458 data_time: 0.0316 memory: 25127 loss_text: 0.0573 loss_kernel: 0.0282 loss: 0.0855 2022/08/26 05:58:23 - mmengine - INFO - Epoch(train) [196][20/63] lr: 1.0000e-04 eta: 15:21:36 time: 0.8512 data_time: 0.0256 memory: 25127 loss_text: 0.0693 loss_kernel: 0.0328 loss: 0.1021 2022/08/26 05:58:27 - mmengine - INFO - Epoch(train) [196][25/63] lr: 1.0000e-04 eta: 15:21:36 time: 0.8513 data_time: 0.0382 memory: 25127 loss_text: 0.0672 loss_kernel: 0.0325 loss: 0.0997 2022/08/26 05:58:31 - mmengine - INFO - Epoch(train) [196][30/63] lr: 1.0000e-04 eta: 15:20:47 time: 0.8479 data_time: 0.0308 memory: 25127 loss_text: 0.0586 loss_kernel: 0.0310 loss: 0.0895 2022/08/26 05:58:36 - mmengine - INFO - Epoch(train) [196][35/63] lr: 1.0000e-04 eta: 15:20:47 time: 0.8734 data_time: 0.0311 memory: 25127 loss_text: 0.0615 loss_kernel: 0.0317 loss: 0.0932 2022/08/26 05:58:40 - mmengine - INFO - Epoch(train) [196][40/63] lr: 1.0000e-04 eta: 15:19:59 time: 0.8812 data_time: 0.0256 memory: 25127 loss_text: 0.0594 loss_kernel: 0.0294 loss: 0.0888 2022/08/26 05:58:44 - mmengine - INFO - Epoch(train) [196][45/63] lr: 1.0000e-04 eta: 15:19:59 time: 0.8481 data_time: 0.0297 memory: 25127 loss_text: 0.0558 loss_kernel: 0.0288 loss: 0.0846 2022/08/26 05:58:48 - mmengine - INFO - Epoch(train) [196][50/63] lr: 1.0000e-04 eta: 15:19:10 time: 0.8242 data_time: 0.0381 memory: 25127 loss_text: 0.0526 loss_kernel: 0.0282 loss: 0.0809 2022/08/26 05:58:53 - mmengine - INFO - Epoch(train) [196][55/63] lr: 1.0000e-04 eta: 15:19:10 time: 0.8425 data_time: 0.0250 memory: 25127 loss_text: 0.0524 loss_kernel: 0.0278 loss: 0.0802 2022/08/26 05:58:57 - mmengine - INFO - Epoch(train) [196][60/63] lr: 1.0000e-04 eta: 15:18:21 time: 0.8460 data_time: 0.0191 memory: 25127 loss_text: 0.0508 loss_kernel: 0.0279 loss: 0.0787 2022/08/26 05:58:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:00:29 - mmengine - INFO - Epoch(train) [197][5/63] lr: 1.0000e-04 eta: 15:18:21 time: 9.4020 data_time: 8.6182 memory: 25127 loss_text: 0.0495 loss_kernel: 0.0276 loss: 0.0771 2022/08/26 06:00:34 - mmengine - INFO - Epoch(train) [197][10/63] lr: 1.0000e-04 eta: 15:20:10 time: 9.4754 data_time: 8.6393 memory: 25127 loss_text: 0.0404 loss_kernel: 0.0248 loss: 0.0653 2022/08/26 06:00:38 - mmengine - INFO - Epoch(train) [197][15/63] lr: 1.0000e-04 eta: 15:20:10 time: 0.8609 data_time: 0.0321 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0231 loss: 0.0601 2022/08/26 06:00:42 - mmengine - INFO - Epoch(train) [197][20/63] lr: 1.0000e-04 eta: 15:19:21 time: 0.8453 data_time: 0.0249 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0238 loss: 0.0612 2022/08/26 06:00:46 - mmengine - INFO - Epoch(train) [197][25/63] lr: 1.0000e-04 eta: 15:19:21 time: 0.8503 data_time: 0.0408 memory: 25127 loss_text: 0.0355 loss_kernel: 0.0235 loss: 0.0590 2022/08/26 06:00:51 - mmengine - INFO - Epoch(train) [197][30/63] lr: 1.0000e-04 eta: 15:18:32 time: 0.8350 data_time: 0.0275 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0227 loss: 0.0561 2022/08/26 06:00:55 - mmengine - INFO - Epoch(train) [197][35/63] lr: 1.0000e-04 eta: 15:18:32 time: 0.8295 data_time: 0.0233 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0240 loss: 0.0606 2022/08/26 06:00:59 - mmengine - INFO - Epoch(train) [197][40/63] lr: 1.0000e-04 eta: 15:17:43 time: 0.8570 data_time: 0.0277 memory: 25127 loss_text: 0.0379 loss_kernel: 0.0238 loss: 0.0616 2022/08/26 06:01:04 - mmengine - INFO - Epoch(train) [197][45/63] lr: 1.0000e-04 eta: 15:17:43 time: 0.8771 data_time: 0.0260 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0232 loss: 0.0567 2022/08/26 06:01:08 - mmengine - INFO - Epoch(train) [197][50/63] lr: 1.0000e-04 eta: 15:16:55 time: 0.8738 data_time: 0.0349 memory: 25127 loss_text: 0.0336 loss_kernel: 0.0235 loss: 0.0571 2022/08/26 06:01:12 - mmengine - INFO - Epoch(train) [197][55/63] lr: 1.0000e-04 eta: 15:16:55 time: 0.8697 data_time: 0.0274 memory: 25127 loss_text: 0.0339 loss_kernel: 0.0215 loss: 0.0554 2022/08/26 06:01:17 - mmengine - INFO - Epoch(train) [197][60/63] lr: 1.0000e-04 eta: 15:16:07 time: 0.8882 data_time: 0.0208 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0212 loss: 0.0557 2022/08/26 06:01:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:02:47 - mmengine - INFO - Epoch(train) [198][5/63] lr: 1.0000e-04 eta: 15:16:07 time: 9.1597 data_time: 8.3595 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0232 loss: 0.0584 2022/08/26 06:02:51 - mmengine - INFO - Epoch(train) [198][10/63] lr: 1.0000e-04 eta: 15:17:49 time: 9.1918 data_time: 8.3785 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0240 loss: 0.0635 2022/08/26 06:02:56 - mmengine - INFO - Epoch(train) [198][15/63] lr: 1.0000e-04 eta: 15:17:49 time: 0.8860 data_time: 0.0276 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0222 loss: 0.0563 2022/08/26 06:03:00 - mmengine - INFO - Epoch(train) [198][20/63] lr: 1.0000e-04 eta: 15:17:01 time: 0.8712 data_time: 0.0174 memory: 25127 loss_text: 0.0336 loss_kernel: 0.0226 loss: 0.0562 2022/08/26 06:03:04 - mmengine - INFO - Epoch(train) [198][25/63] lr: 1.0000e-04 eta: 15:17:01 time: 0.8421 data_time: 0.0245 memory: 25127 loss_text: 0.0414 loss_kernel: 0.0268 loss: 0.0681 2022/08/26 06:03:08 - mmengine - INFO - Epoch(train) [198][30/63] lr: 1.0000e-04 eta: 15:16:13 time: 0.8511 data_time: 0.0248 memory: 25127 loss_text: 0.0432 loss_kernel: 0.0283 loss: 0.0714 2022/08/26 06:03:13 - mmengine - INFO - Epoch(train) [198][35/63] lr: 1.0000e-04 eta: 15:16:13 time: 0.8748 data_time: 0.0342 memory: 25127 loss_text: 0.0368 loss_kernel: 0.0237 loss: 0.0604 2022/08/26 06:03:17 - mmengine - INFO - Epoch(train) [198][40/63] lr: 1.0000e-04 eta: 15:15:25 time: 0.8974 data_time: 0.0479 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0240 loss: 0.0638 2022/08/26 06:03:21 - mmengine - INFO - Epoch(train) [198][45/63] lr: 1.0000e-04 eta: 15:15:25 time: 0.8553 data_time: 0.0436 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0232 loss: 0.0607 2022/08/26 06:03:26 - mmengine - INFO - Epoch(train) [198][50/63] lr: 1.0000e-04 eta: 15:14:36 time: 0.8429 data_time: 0.0346 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0191 loss: 0.0470 2022/08/26 06:03:30 - mmengine - INFO - Epoch(train) [198][55/63] lr: 1.0000e-04 eta: 15:14:36 time: 0.8880 data_time: 0.0297 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0214 loss: 0.0510 2022/08/26 06:03:34 - mmengine - INFO - Epoch(train) [198][60/63] lr: 1.0000e-04 eta: 15:13:49 time: 0.8888 data_time: 0.0205 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0243 loss: 0.0617 2022/08/26 06:03:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:05:04 - mmengine - INFO - Epoch(train) [199][5/63] lr: 1.0000e-04 eta: 15:13:49 time: 9.0729 data_time: 8.2830 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0189 loss: 0.0467 2022/08/26 06:05:08 - mmengine - INFO - Epoch(train) [199][10/63] lr: 1.0000e-04 eta: 15:15:29 time: 9.1473 data_time: 8.3093 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0197 loss: 0.0480 2022/08/26 06:05:12 - mmengine - INFO - Epoch(train) [199][15/63] lr: 1.0000e-04 eta: 15:15:29 time: 0.8723 data_time: 0.0366 memory: 25127 loss_text: 0.0368 loss_kernel: 0.0241 loss: 0.0609 2022/08/26 06:05:17 - mmengine - INFO - Epoch(train) [199][20/63] lr: 1.0000e-04 eta: 15:14:41 time: 0.8559 data_time: 0.0204 memory: 25127 loss_text: 0.0392 loss_kernel: 0.0238 loss: 0.0630 2022/08/26 06:05:21 - mmengine - INFO - Epoch(train) [199][25/63] lr: 1.0000e-04 eta: 15:14:41 time: 0.8766 data_time: 0.0358 memory: 25127 loss_text: 0.0317 loss_kernel: 0.0200 loss: 0.0516 2022/08/26 06:05:25 - mmengine - INFO - Epoch(train) [199][30/63] lr: 1.0000e-04 eta: 15:13:53 time: 0.8789 data_time: 0.0254 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0198 loss: 0.0490 2022/08/26 06:05:30 - mmengine - INFO - Epoch(train) [199][35/63] lr: 1.0000e-04 eta: 15:13:53 time: 0.8566 data_time: 0.0230 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0193 loss: 0.0480 2022/08/26 06:05:34 - mmengine - INFO - Epoch(train) [199][40/63] lr: 1.0000e-04 eta: 15:13:05 time: 0.8790 data_time: 0.0274 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0187 loss: 0.0479 2022/08/26 06:05:38 - mmengine - INFO - Epoch(train) [199][45/63] lr: 1.0000e-04 eta: 15:13:05 time: 0.8810 data_time: 0.0225 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0195 loss: 0.0504 2022/08/26 06:05:43 - mmengine - INFO - Epoch(train) [199][50/63] lr: 1.0000e-04 eta: 15:12:17 time: 0.8434 data_time: 0.0318 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0204 loss: 0.0505 2022/08/26 06:05:47 - mmengine - INFO - Epoch(train) [199][55/63] lr: 1.0000e-04 eta: 15:12:17 time: 0.8294 data_time: 0.0273 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0199 loss: 0.0478 2022/08/26 06:05:51 - mmengine - INFO - Epoch(train) [199][60/63] lr: 1.0000e-04 eta: 15:11:28 time: 0.8183 data_time: 0.0185 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0187 loss: 0.0455 2022/08/26 06:05:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:07:21 - mmengine - INFO - Epoch(train) [200][5/63] lr: 1.0000e-04 eta: 15:11:28 time: 9.1870 data_time: 8.3205 memory: 25127 loss_text: 0.0402 loss_kernel: 0.0240 loss: 0.0642 2022/08/26 06:07:26 - mmengine - INFO - Epoch(train) [200][10/63] lr: 1.0000e-04 eta: 15:13:08 time: 9.1734 data_time: 8.3459 memory: 25127 loss_text: 0.0398 loss_kernel: 0.0245 loss: 0.0643 2022/08/26 06:07:30 - mmengine - INFO - Epoch(train) [200][15/63] lr: 1.0000e-04 eta: 15:13:08 time: 0.8863 data_time: 0.0375 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0241 loss: 0.0639 2022/08/26 06:07:35 - mmengine - INFO - Epoch(train) [200][20/63] lr: 1.0000e-04 eta: 15:12:20 time: 0.8780 data_time: 0.0206 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0226 loss: 0.0580 2022/08/26 06:07:39 - mmengine - INFO - Epoch(train) [200][25/63] lr: 1.0000e-04 eta: 15:12:20 time: 0.8755 data_time: 0.0401 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0213 loss: 0.0534 2022/08/26 06:07:43 - mmengine - INFO - Epoch(train) [200][30/63] lr: 1.0000e-04 eta: 15:11:33 time: 0.8666 data_time: 0.0282 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0209 loss: 0.0532 2022/08/26 06:07:47 - mmengine - INFO - Epoch(train) [200][35/63] lr: 1.0000e-04 eta: 15:11:33 time: 0.8552 data_time: 0.0226 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0220 loss: 0.0572 2022/08/26 06:07:52 - mmengine - INFO - Epoch(train) [200][40/63] lr: 1.0000e-04 eta: 15:10:44 time: 0.8471 data_time: 0.0295 memory: 25127 loss_text: 0.0315 loss_kernel: 0.0215 loss: 0.0531 2022/08/26 06:07:56 - mmengine - INFO - Epoch(train) [200][45/63] lr: 1.0000e-04 eta: 15:10:44 time: 0.8367 data_time: 0.0247 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0214 loss: 0.0533 2022/08/26 06:08:00 - mmengine - INFO - Epoch(train) [200][50/63] lr: 1.0000e-04 eta: 15:09:57 time: 0.8633 data_time: 0.0334 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0200 loss: 0.0509 2022/08/26 06:08:05 - mmengine - INFO - Epoch(train) [200][55/63] lr: 1.0000e-04 eta: 15:09:57 time: 0.8779 data_time: 0.0303 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0225 loss: 0.0595 2022/08/26 06:08:09 - mmengine - INFO - Epoch(train) [200][60/63] lr: 1.0000e-04 eta: 15:09:09 time: 0.8458 data_time: 0.0192 memory: 25127 loss_text: 0.0379 loss_kernel: 0.0237 loss: 0.0616 2022/08/26 06:08:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:08:11 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/26 06:08:41 - mmengine - INFO - Epoch(val) [200][5/500] eta: 15:09:09 time: 2.4596 data_time: 2.3878 memory: 25127 2022/08/26 06:08:41 - mmengine - INFO - Epoch(val) [200][10/500] eta: 0:20:13 time: 2.4756 data_time: 2.3918 memory: 2076 2022/08/26 06:08:41 - mmengine - INFO - Epoch(val) [200][15/500] eta: 0:20:13 time: 0.0651 data_time: 0.0061 memory: 2001 2022/08/26 06:08:42 - mmengine - INFO - Epoch(val) [200][20/500] eta: 0:00:24 time: 0.0514 data_time: 0.0022 memory: 1700 2022/08/26 06:08:42 - mmengine - INFO - Epoch(val) [200][25/500] eta: 0:00:24 time: 0.0414 data_time: 0.0019 memory: 1700 2022/08/26 06:08:42 - mmengine - INFO - Epoch(val) [200][30/500] eta: 0:00:18 time: 0.0391 data_time: 0.0022 memory: 1700 2022/08/26 06:08:42 - mmengine - INFO - Epoch(val) [200][35/500] eta: 0:00:18 time: 0.0427 data_time: 0.0023 memory: 1700 2022/08/26 06:08:42 - mmengine - INFO - Epoch(val) [200][40/500] eta: 0:00:20 time: 0.0450 data_time: 0.0019 memory: 1737 2022/08/26 06:08:43 - mmengine - INFO - Epoch(val) [200][45/500] eta: 0:00:20 time: 0.0414 data_time: 0.0020 memory: 2076 2022/08/26 06:08:43 - mmengine - INFO - Epoch(val) [200][50/500] eta: 0:00:18 time: 0.0403 data_time: 0.0022 memory: 1813 2022/08/26 06:08:43 - mmengine - INFO - Epoch(val) [200][55/500] eta: 0:00:18 time: 0.0442 data_time: 0.0024 memory: 1775 2022/08/26 06:08:43 - mmengine - INFO - Epoch(val) [200][60/500] eta: 0:00:20 time: 0.0473 data_time: 0.0021 memory: 1700 2022/08/26 06:08:44 - mmengine - INFO - Epoch(val) [200][65/500] eta: 0:00:20 time: 0.0563 data_time: 0.0019 memory: 1813 2022/08/26 06:08:44 - mmengine - INFO - Epoch(val) [200][70/500] eta: 0:00:22 time: 0.0532 data_time: 0.0018 memory: 2076 2022/08/26 06:08:44 - mmengine - INFO - Epoch(val) [200][75/500] eta: 0:00:22 time: 0.0457 data_time: 0.0019 memory: 1813 2022/08/26 06:08:44 - mmengine - INFO - Epoch(val) [200][80/500] eta: 0:00:18 time: 0.0440 data_time: 0.0019 memory: 1700 2022/08/26 06:08:44 - mmengine - INFO - Epoch(val) [200][85/500] eta: 0:00:18 time: 0.0387 data_time: 0.0018 memory: 1700 2022/08/26 06:08:45 - mmengine - INFO - Epoch(val) [200][90/500] eta: 0:00:17 time: 0.0434 data_time: 0.0017 memory: 2076 2022/08/26 06:08:45 - mmengine - INFO - Epoch(val) [200][95/500] eta: 0:00:17 time: 0.0449 data_time: 0.0017 memory: 1737 2022/08/26 06:08:45 - mmengine - INFO - Epoch(val) [200][100/500] eta: 0:00:16 time: 0.0409 data_time: 0.0018 memory: 2076 2022/08/26 06:08:45 - mmengine - INFO - Epoch(val) [200][105/500] eta: 0:00:16 time: 0.0417 data_time: 0.0018 memory: 1700 2022/08/26 06:08:46 - mmengine - INFO - Epoch(val) [200][110/500] eta: 0:00:17 time: 0.0436 data_time: 0.0019 memory: 2076 2022/08/26 06:08:46 - mmengine - INFO - Epoch(val) [200][115/500] eta: 0:00:17 time: 0.0476 data_time: 0.0025 memory: 1700 2022/08/26 06:08:46 - mmengine - INFO - Epoch(val) [200][120/500] eta: 0:00:21 time: 0.0564 data_time: 0.0027 memory: 1700 2022/08/26 06:08:46 - mmengine - INFO - Epoch(val) [200][125/500] eta: 0:00:21 time: 0.0619 data_time: 0.0021 memory: 2076 2022/08/26 06:08:47 - mmengine - INFO - Epoch(val) [200][130/500] eta: 0:00:18 time: 0.0509 data_time: 0.0018 memory: 1700 2022/08/26 06:08:47 - mmengine - INFO - Epoch(val) [200][135/500] eta: 0:00:18 time: 0.0426 data_time: 0.0018 memory: 1850 2022/08/26 06:08:47 - mmengine - INFO - Epoch(val) [200][140/500] eta: 0:00:16 time: 0.0458 data_time: 0.0019 memory: 1700 2022/08/26 06:08:47 - mmengine - INFO - Epoch(val) [200][145/500] eta: 0:00:16 time: 0.0418 data_time: 0.0019 memory: 2039 2022/08/26 06:08:48 - mmengine - INFO - Epoch(val) [200][150/500] eta: 0:00:14 time: 0.0401 data_time: 0.0019 memory: 1700 2022/08/26 06:08:48 - mmengine - INFO - Epoch(val) [200][155/500] eta: 0:00:14 time: 0.0476 data_time: 0.0020 memory: 1963 2022/08/26 06:08:48 - mmengine - INFO - Epoch(val) [200][160/500] eta: 0:00:17 time: 0.0518 data_time: 0.0021 memory: 2076 2022/08/26 06:08:48 - mmengine - INFO - Epoch(val) [200][165/500] eta: 0:00:17 time: 0.0474 data_time: 0.0020 memory: 1775 2022/08/26 06:08:49 - mmengine - INFO - Epoch(val) [200][170/500] eta: 0:00:16 time: 0.0497 data_time: 0.0020 memory: 1963 2022/08/26 06:08:49 - mmengine - INFO - Epoch(val) [200][175/500] eta: 0:00:16 time: 0.0487 data_time: 0.0020 memory: 2076 2022/08/26 06:08:49 - mmengine - INFO - Epoch(val) [200][180/500] eta: 0:00:13 time: 0.0428 data_time: 0.0020 memory: 2076 2022/08/26 06:08:49 - mmengine - INFO - Epoch(val) [200][185/500] eta: 0:00:13 time: 0.0424 data_time: 0.0019 memory: 1700 2022/08/26 06:08:49 - mmengine - INFO - Epoch(val) [200][190/500] eta: 0:00:12 time: 0.0411 data_time: 0.0017 memory: 1813 2022/08/26 06:08:50 - mmengine - INFO - Epoch(val) [200][195/500] eta: 0:00:12 time: 0.0393 data_time: 0.0019 memory: 1775 2022/08/26 06:08:50 - mmengine - INFO - Epoch(val) [200][200/500] eta: 0:00:12 time: 0.0408 data_time: 0.0028 memory: 1775 2022/08/26 06:08:50 - mmengine - INFO - Epoch(val) [200][205/500] eta: 0:00:12 time: 0.0436 data_time: 0.0026 memory: 1700 2022/08/26 06:08:50 - mmengine - INFO - Epoch(val) [200][210/500] eta: 0:00:12 time: 0.0444 data_time: 0.0018 memory: 2076 2022/08/26 06:08:50 - mmengine - INFO - Epoch(val) [200][215/500] eta: 0:00:12 time: 0.0426 data_time: 0.0017 memory: 1700 2022/08/26 06:08:51 - mmengine - INFO - Epoch(val) [200][220/500] eta: 0:00:15 time: 0.0544 data_time: 0.0018 memory: 1850 2022/08/26 06:08:51 - mmengine - INFO - Epoch(val) [200][225/500] eta: 0:00:15 time: 0.0567 data_time: 0.0023 memory: 2076 2022/08/26 06:08:52 - mmengine - INFO - Epoch(val) [200][230/500] eta: 0:00:25 time: 0.0945 data_time: 0.0115 memory: 1700 2022/08/26 06:08:52 - mmengine - INFO - Epoch(val) [200][235/500] eta: 0:00:25 time: 0.0977 data_time: 0.0118 memory: 2076 2022/08/26 06:08:52 - mmengine - INFO - Epoch(val) [200][240/500] eta: 0:00:12 time: 0.0491 data_time: 0.0025 memory: 2076 2022/08/26 06:08:52 - mmengine - INFO - Epoch(val) [200][245/500] eta: 0:00:12 time: 0.0455 data_time: 0.0020 memory: 2076 2022/08/26 06:08:53 - mmengine - INFO - Epoch(val) [200][250/500] eta: 0:00:11 time: 0.0443 data_time: 0.0022 memory: 1700 2022/08/26 06:08:53 - mmengine - INFO - Epoch(val) [200][255/500] eta: 0:00:11 time: 0.0891 data_time: 0.0176 memory: 1737 2022/08/26 06:08:54 - mmengine - INFO - Epoch(val) [200][260/500] eta: 0:00:20 time: 0.0865 data_time: 0.0177 memory: 1700 2022/08/26 06:08:54 - mmengine - INFO - Epoch(val) [200][265/500] eta: 0:00:20 time: 0.0429 data_time: 0.0023 memory: 2001 2022/08/26 06:08:54 - mmengine - INFO - Epoch(val) [200][270/500] eta: 0:00:09 time: 0.0434 data_time: 0.0021 memory: 1926 2022/08/26 06:08:54 - mmengine - INFO - Epoch(val) [200][275/500] eta: 0:00:09 time: 0.0458 data_time: 0.0019 memory: 2076 2022/08/26 06:08:54 - mmengine - INFO - Epoch(val) [200][280/500] eta: 0:00:09 time: 0.0450 data_time: 0.0019 memory: 2001 2022/08/26 06:08:55 - mmengine - INFO - Epoch(val) [200][285/500] eta: 0:00:09 time: 0.0415 data_time: 0.0018 memory: 1700 2022/08/26 06:08:55 - mmengine - INFO - Epoch(val) [200][290/500] eta: 0:00:09 time: 0.0454 data_time: 0.0018 memory: 2076 2022/08/26 06:08:55 - mmengine - INFO - Epoch(val) [200][295/500] eta: 0:00:09 time: 0.0443 data_time: 0.0020 memory: 1813 2022/08/26 06:08:55 - mmengine - INFO - Epoch(val) [200][300/500] eta: 0:00:08 time: 0.0426 data_time: 0.0020 memory: 1737 2022/08/26 06:08:55 - mmengine - INFO - Epoch(val) [200][305/500] eta: 0:00:08 time: 0.0408 data_time: 0.0019 memory: 1700 2022/08/26 06:08:56 - mmengine - INFO - Epoch(val) [200][310/500] eta: 0:00:07 time: 0.0381 data_time: 0.0018 memory: 1775 2022/08/26 06:08:56 - mmengine - INFO - Epoch(val) [200][315/500] eta: 0:00:07 time: 0.0414 data_time: 0.0018 memory: 2001 2022/08/26 06:08:56 - mmengine - INFO - Epoch(val) [200][320/500] eta: 0:00:08 time: 0.0465 data_time: 0.0018 memory: 2001 2022/08/26 06:08:56 - mmengine - INFO - Epoch(val) [200][325/500] eta: 0:00:08 time: 0.0470 data_time: 0.0020 memory: 2076 2022/08/26 06:08:57 - mmengine - INFO - Epoch(val) [200][330/500] eta: 0:00:07 time: 0.0467 data_time: 0.0026 memory: 1737 2022/08/26 06:08:57 - mmengine - INFO - Epoch(val) [200][335/500] eta: 0:00:07 time: 0.0519 data_time: 0.0024 memory: 1926 2022/08/26 06:08:57 - mmengine - INFO - Epoch(val) [200][340/500] eta: 0:00:08 time: 0.0511 data_time: 0.0019 memory: 2039 2022/08/26 06:08:57 - mmengine - INFO - Epoch(val) [200][345/500] eta: 0:00:08 time: 0.0412 data_time: 0.0018 memory: 1926 2022/08/26 06:08:58 - mmengine - INFO - Epoch(val) [200][350/500] eta: 0:00:07 time: 0.0474 data_time: 0.0018 memory: 1700 2022/08/26 06:08:58 - mmengine - INFO - Epoch(val) [200][355/500] eta: 0:00:07 time: 0.0695 data_time: 0.0019 memory: 2039 2022/08/26 06:08:58 - mmengine - INFO - Epoch(val) [200][360/500] eta: 0:00:08 time: 0.0599 data_time: 0.0020 memory: 1737 2022/08/26 06:08:58 - mmengine - INFO - Epoch(val) [200][365/500] eta: 0:00:08 time: 0.0386 data_time: 0.0019 memory: 1588 2022/08/26 06:08:59 - mmengine - INFO - Epoch(val) [200][370/500] eta: 0:00:05 time: 0.0385 data_time: 0.0019 memory: 1813 2022/08/26 06:08:59 - mmengine - INFO - Epoch(val) [200][375/500] eta: 0:00:05 time: 0.0354 data_time: 0.0019 memory: 1700 2022/08/26 06:08:59 - mmengine - INFO - Epoch(val) [200][380/500] eta: 0:00:04 time: 0.0383 data_time: 0.0018 memory: 2039 2022/08/26 06:08:59 - mmengine - INFO - Epoch(val) [200][385/500] eta: 0:00:04 time: 0.0417 data_time: 0.0020 memory: 2039 2022/08/26 06:08:59 - mmengine - INFO - Epoch(val) [200][390/500] eta: 0:00:04 time: 0.0444 data_time: 0.0019 memory: 2076 2022/08/26 06:09:00 - mmengine - INFO - Epoch(val) [200][395/500] eta: 0:00:04 time: 0.0612 data_time: 0.0019 memory: 1700 2022/08/26 06:09:00 - mmengine - INFO - Epoch(val) [200][400/500] eta: 0:00:06 time: 0.0634 data_time: 0.0026 memory: 2039 2022/08/26 06:09:00 - mmengine - INFO - Epoch(val) [200][405/500] eta: 0:00:06 time: 0.0464 data_time: 0.0026 memory: 2039 2022/08/26 06:09:00 - mmengine - INFO - Epoch(val) [200][410/500] eta: 0:00:03 time: 0.0427 data_time: 0.0018 memory: 1813 2022/08/26 06:09:01 - mmengine - INFO - Epoch(val) [200][415/500] eta: 0:00:03 time: 0.0505 data_time: 0.0018 memory: 1700 2022/08/26 06:09:01 - mmengine - INFO - Epoch(val) [200][420/500] eta: 0:00:06 time: 0.0756 data_time: 0.0021 memory: 2001 2022/08/26 06:09:01 - mmengine - INFO - Epoch(val) [200][425/500] eta: 0:00:06 time: 0.0736 data_time: 0.0020 memory: 1700 2022/08/26 06:09:02 - mmengine - INFO - Epoch(val) [200][430/500] eta: 0:00:03 time: 0.0461 data_time: 0.0018 memory: 2076 2022/08/26 06:09:02 - mmengine - INFO - Epoch(val) [200][435/500] eta: 0:00:03 time: 0.0434 data_time: 0.0018 memory: 1700 2022/08/26 06:09:02 - mmengine - INFO - Epoch(val) [200][440/500] eta: 0:00:02 time: 0.0437 data_time: 0.0019 memory: 1850 2022/08/26 06:09:02 - mmengine - INFO - Epoch(val) [200][445/500] eta: 0:00:02 time: 0.0434 data_time: 0.0018 memory: 2001 2022/08/26 06:09:03 - mmengine - INFO - Epoch(val) [200][450/500] eta: 0:00:02 time: 0.0438 data_time: 0.0019 memory: 1700 2022/08/26 06:09:03 - mmengine - INFO - Epoch(val) [200][455/500] eta: 0:00:02 time: 0.0509 data_time: 0.0019 memory: 2076 2022/08/26 06:09:03 - mmengine - INFO - Epoch(val) [200][460/500] eta: 0:00:02 time: 0.0591 data_time: 0.0120 memory: 1775 2022/08/26 06:09:03 - mmengine - INFO - Epoch(val) [200][465/500] eta: 0:00:02 time: 0.0502 data_time: 0.0120 memory: 1963 2022/08/26 06:09:04 - mmengine - INFO - Epoch(val) [200][470/500] eta: 0:00:01 time: 0.0404 data_time: 0.0019 memory: 1775 2022/08/26 06:09:04 - mmengine - INFO - Epoch(val) [200][475/500] eta: 0:00:01 time: 0.0514 data_time: 0.0019 memory: 2076 2022/08/26 06:09:04 - mmengine - INFO - Epoch(val) [200][480/500] eta: 0:00:01 time: 0.0528 data_time: 0.0022 memory: 2039 2022/08/26 06:09:04 - mmengine - INFO - Epoch(val) [200][485/500] eta: 0:00:01 time: 0.0417 data_time: 0.0022 memory: 1700 2022/08/26 06:09:04 - mmengine - INFO - Epoch(val) [200][490/500] eta: 0:00:00 time: 0.0371 data_time: 0.0019 memory: 1963 2022/08/26 06:09:05 - mmengine - INFO - Epoch(val) [200][495/500] eta: 0:00:00 time: 0.0425 data_time: 0.0019 memory: 2076 2022/08/26 06:09:06 - mmengine - INFO - Epoch(val) [200][500/500] eta: 0:00:00 time: 0.1215 data_time: 0.0041 memory: 1737 2022/08/26 06:09:06 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 06:09:06 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8029, precision: 0.4792, hmean: 0.6002 2022/08/26 06:09:06 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8029, precision: 0.4792, hmean: 0.6002 2022/08/26 06:09:06 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8029, precision: 0.4792, hmean: 0.6002 2022/08/26 06:09:06 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8029, precision: 0.5051, hmean: 0.6201 2022/08/26 06:09:06 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8026, precision: 0.5756, hmean: 0.6704 2022/08/26 06:09:06 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8003, precision: 0.6616, hmean: 0.7244 2022/08/26 06:09:06 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7704, precision: 0.7637, hmean: 0.7670 2022/08/26 06:09:06 - mmengine - INFO - Epoch(val) [200][500/500] icdar/precision: 0.7637 icdar/recall: 0.7704 icdar/hmean: 0.7670 2022/08/26 06:10:36 - mmengine - INFO - Epoch(train) [201][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 9.3759 data_time: 8.5775 memory: 25127 loss_text: 0.0362 loss_kernel: 0.0236 loss: 0.0598 2022/08/26 06:10:40 - mmengine - INFO - Epoch(train) [201][10/63] lr: 1.0000e-05 eta: 15:10:53 time: 9.4429 data_time: 8.5918 memory: 25127 loss_text: 0.0367 loss_kernel: 0.0231 loss: 0.0598 2022/08/26 06:10:45 - mmengine - INFO - Epoch(train) [201][15/63] lr: 1.0000e-05 eta: 15:10:53 time: 0.8887 data_time: 0.0263 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0189 loss: 0.0460 2022/08/26 06:10:49 - mmengine - INFO - Epoch(train) [201][20/63] lr: 1.0000e-05 eta: 15:10:05 time: 0.8736 data_time: 0.0267 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0181 loss: 0.0441 2022/08/26 06:10:53 - mmengine - INFO - Epoch(train) [201][25/63] lr: 1.0000e-05 eta: 15:10:05 time: 0.8731 data_time: 0.0410 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0180 loss: 0.0453 2022/08/26 06:10:58 - mmengine - INFO - Epoch(train) [201][30/63] lr: 1.0000e-05 eta: 15:09:17 time: 0.8517 data_time: 0.0234 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0180 loss: 0.0441 2022/08/26 06:11:02 - mmengine - INFO - Epoch(train) [201][35/63] lr: 1.0000e-05 eta: 15:09:17 time: 0.8351 data_time: 0.0217 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0178 loss: 0.0420 2022/08/26 06:11:06 - mmengine - INFO - Epoch(train) [201][40/63] lr: 1.0000e-05 eta: 15:08:30 time: 0.8576 data_time: 0.0270 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0174 loss: 0.0417 2022/08/26 06:11:10 - mmengine - INFO - Epoch(train) [201][45/63] lr: 1.0000e-05 eta: 15:08:30 time: 0.8420 data_time: 0.0263 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0194 loss: 0.0494 2022/08/26 06:11:15 - mmengine - INFO - Epoch(train) [201][50/63] lr: 1.0000e-05 eta: 15:07:42 time: 0.8406 data_time: 0.0349 memory: 25127 loss_text: 0.0339 loss_kernel: 0.0218 loss: 0.0557 2022/08/26 06:11:19 - mmengine - INFO - Epoch(train) [201][55/63] lr: 1.0000e-05 eta: 15:07:42 time: 0.8741 data_time: 0.0278 memory: 25127 loss_text: 0.0320 loss_kernel: 0.0212 loss: 0.0533 2022/08/26 06:11:23 - mmengine - INFO - Epoch(train) [201][60/63] lr: 1.0000e-05 eta: 15:06:54 time: 0.8711 data_time: 0.0218 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0251 loss: 0.0664 2022/08/26 06:11:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:12:54 - mmengine - INFO - Epoch(train) [202][5/63] lr: 1.0000e-05 eta: 15:06:54 time: 9.2309 data_time: 8.4384 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0222 loss: 0.0563 2022/08/26 06:12:58 - mmengine - INFO - Epoch(train) [202][10/63] lr: 1.0000e-05 eta: 15:08:34 time: 9.2786 data_time: 8.4458 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0186 loss: 0.0443 2022/08/26 06:13:03 - mmengine - INFO - Epoch(train) [202][15/63] lr: 1.0000e-05 eta: 15:08:34 time: 0.8521 data_time: 0.0327 memory: 25127 loss_text: 0.0325 loss_kernel: 0.0208 loss: 0.0533 2022/08/26 06:13:07 - mmengine - INFO - Epoch(train) [202][20/63] lr: 1.0000e-05 eta: 15:07:47 time: 0.8531 data_time: 0.0408 memory: 25127 loss_text: 0.0317 loss_kernel: 0.0202 loss: 0.0519 2022/08/26 06:13:11 - mmengine - INFO - Epoch(train) [202][25/63] lr: 1.0000e-05 eta: 15:07:47 time: 0.8583 data_time: 0.0399 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0190 loss: 0.0423 2022/08/26 06:13:16 - mmengine - INFO - Epoch(train) [202][30/63] lr: 1.0000e-05 eta: 15:07:00 time: 0.8915 data_time: 0.0305 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0198 loss: 0.0439 2022/08/26 06:13:20 - mmengine - INFO - Epoch(train) [202][35/63] lr: 1.0000e-05 eta: 15:07:00 time: 0.8826 data_time: 0.0291 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0196 loss: 0.0482 2022/08/26 06:13:24 - mmengine - INFO - Epoch(train) [202][40/63] lr: 1.0000e-05 eta: 15:06:12 time: 0.8455 data_time: 0.0330 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0199 loss: 0.0492 2022/08/26 06:13:28 - mmengine - INFO - Epoch(train) [202][45/63] lr: 1.0000e-05 eta: 15:06:12 time: 0.8334 data_time: 0.0288 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0196 loss: 0.0498 2022/08/26 06:13:32 - mmengine - INFO - Epoch(train) [202][50/63] lr: 1.0000e-05 eta: 15:05:23 time: 0.8084 data_time: 0.0235 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0218 loss: 0.0591 2022/08/26 06:13:37 - mmengine - INFO - Epoch(train) [202][55/63] lr: 1.0000e-05 eta: 15:05:23 time: 0.9169 data_time: 0.0277 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0210 loss: 0.0543 2022/08/26 06:13:42 - mmengine - INFO - Epoch(train) [202][60/63] lr: 1.0000e-05 eta: 15:04:37 time: 0.9342 data_time: 0.0273 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0207 loss: 0.0504 2022/08/26 06:13:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:15:12 - mmengine - INFO - Epoch(train) [203][5/63] lr: 1.0000e-05 eta: 15:04:37 time: 9.1509 data_time: 8.3646 memory: 25127 loss_text: 0.0328 loss_kernel: 0.0211 loss: 0.0539 2022/08/26 06:15:16 - mmengine - INFO - Epoch(train) [203][10/63] lr: 1.0000e-05 eta: 15:06:15 time: 9.2115 data_time: 8.3755 memory: 25127 loss_text: 0.0347 loss_kernel: 0.0218 loss: 0.0565 2022/08/26 06:15:20 - mmengine - INFO - Epoch(train) [203][15/63] lr: 1.0000e-05 eta: 15:06:15 time: 0.8341 data_time: 0.0297 memory: 25127 loss_text: 0.0365 loss_kernel: 0.0235 loss: 0.0599 2022/08/26 06:15:24 - mmengine - INFO - Epoch(train) [203][20/63] lr: 1.0000e-05 eta: 15:05:27 time: 0.8455 data_time: 0.0284 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0208 loss: 0.0504 2022/08/26 06:15:29 - mmengine - INFO - Epoch(train) [203][25/63] lr: 1.0000e-05 eta: 15:05:27 time: 0.8693 data_time: 0.0328 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0199 loss: 0.0496 2022/08/26 06:15:33 - mmengine - INFO - Epoch(train) [203][30/63] lr: 1.0000e-05 eta: 15:04:40 time: 0.8476 data_time: 0.0257 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0195 loss: 0.0484 2022/08/26 06:15:37 - mmengine - INFO - Epoch(train) [203][35/63] lr: 1.0000e-05 eta: 15:04:40 time: 0.8516 data_time: 0.0213 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0196 loss: 0.0481 2022/08/26 06:15:41 - mmengine - INFO - Epoch(train) [203][40/63] lr: 1.0000e-05 eta: 15:03:53 time: 0.8653 data_time: 0.0236 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0207 loss: 0.0538 2022/08/26 06:15:46 - mmengine - INFO - Epoch(train) [203][45/63] lr: 1.0000e-05 eta: 15:03:53 time: 0.8820 data_time: 0.0310 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0194 loss: 0.0491 2022/08/26 06:15:50 - mmengine - INFO - Epoch(train) [203][50/63] lr: 1.0000e-05 eta: 15:03:06 time: 0.8776 data_time: 0.0314 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0182 loss: 0.0435 2022/08/26 06:15:54 - mmengine - INFO - Epoch(train) [203][55/63] lr: 1.0000e-05 eta: 15:03:06 time: 0.8481 data_time: 0.0301 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0176 loss: 0.0416 2022/08/26 06:15:59 - mmengine - INFO - Epoch(train) [203][60/63] lr: 1.0000e-05 eta: 15:02:18 time: 0.8403 data_time: 0.0296 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0219 loss: 0.0554 2022/08/26 06:16:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:17:29 - mmengine - INFO - Epoch(train) [204][5/63] lr: 1.0000e-05 eta: 15:02:18 time: 9.2111 data_time: 8.4143 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0194 loss: 0.0478 2022/08/26 06:17:34 - mmengine - INFO - Epoch(train) [204][10/63] lr: 1.0000e-05 eta: 15:03:56 time: 9.2691 data_time: 8.4291 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0197 loss: 0.0475 2022/08/26 06:17:38 - mmengine - INFO - Epoch(train) [204][15/63] lr: 1.0000e-05 eta: 15:03:56 time: 0.8722 data_time: 0.0288 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0197 loss: 0.0485 2022/08/26 06:17:42 - mmengine - INFO - Epoch(train) [204][20/63] lr: 1.0000e-05 eta: 15:03:09 time: 0.8810 data_time: 0.0193 memory: 25127 loss_text: 0.0328 loss_kernel: 0.0218 loss: 0.0546 2022/08/26 06:17:47 - mmengine - INFO - Epoch(train) [204][25/63] lr: 1.0000e-05 eta: 15:03:09 time: 0.8613 data_time: 0.0301 memory: 25127 loss_text: 0.0327 loss_kernel: 0.0227 loss: 0.0554 2022/08/26 06:17:51 - mmengine - INFO - Epoch(train) [204][30/63] lr: 1.0000e-05 eta: 15:02:22 time: 0.8492 data_time: 0.0267 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0195 loss: 0.0481 2022/08/26 06:17:55 - mmengine - INFO - Epoch(train) [204][35/63] lr: 1.0000e-05 eta: 15:02:22 time: 0.8623 data_time: 0.0262 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0177 loss: 0.0429 2022/08/26 06:18:00 - mmengine - INFO - Epoch(train) [204][40/63] lr: 1.0000e-05 eta: 15:01:35 time: 0.8837 data_time: 0.0307 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0183 loss: 0.0440 2022/08/26 06:18:04 - mmengine - INFO - Epoch(train) [204][45/63] lr: 1.0000e-05 eta: 15:01:35 time: 0.8730 data_time: 0.0299 memory: 25127 loss_text: 0.0311 loss_kernel: 0.0217 loss: 0.0529 2022/08/26 06:18:08 - mmengine - INFO - Epoch(train) [204][50/63] lr: 1.0000e-05 eta: 15:00:48 time: 0.8408 data_time: 0.0259 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0218 loss: 0.0532 2022/08/26 06:18:12 - mmengine - INFO - Epoch(train) [204][55/63] lr: 1.0000e-05 eta: 15:00:48 time: 0.8338 data_time: 0.0230 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0187 loss: 0.0461 2022/08/26 06:18:16 - mmengine - INFO - Epoch(train) [204][60/63] lr: 1.0000e-05 eta: 15:00:00 time: 0.8392 data_time: 0.0219 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0213 loss: 0.0529 2022/08/26 06:18:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:19:46 - mmengine - INFO - Epoch(train) [205][5/63] lr: 1.0000e-05 eta: 15:00:00 time: 9.0857 data_time: 8.3023 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0200 loss: 0.0501 2022/08/26 06:19:50 - mmengine - INFO - Epoch(train) [205][10/63] lr: 1.0000e-05 eta: 15:01:35 time: 9.1221 data_time: 8.3172 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0201 loss: 0.0504 2022/08/26 06:19:54 - mmengine - INFO - Epoch(train) [205][15/63] lr: 1.0000e-05 eta: 15:01:35 time: 0.8472 data_time: 0.0331 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0214 loss: 0.0547 2022/08/26 06:19:59 - mmengine - INFO - Epoch(train) [205][20/63] lr: 1.0000e-05 eta: 15:00:49 time: 0.9245 data_time: 0.0359 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0226 loss: 0.0578 2022/08/26 06:20:03 - mmengine - INFO - Epoch(train) [205][25/63] lr: 1.0000e-05 eta: 15:00:49 time: 0.8953 data_time: 0.0325 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0203 loss: 0.0501 2022/08/26 06:20:08 - mmengine - INFO - Epoch(train) [205][30/63] lr: 1.0000e-05 eta: 15:00:01 time: 0.8402 data_time: 0.0217 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0213 loss: 0.0544 2022/08/26 06:20:12 - mmengine - INFO - Epoch(train) [205][35/63] lr: 1.0000e-05 eta: 15:00:01 time: 0.8836 data_time: 0.0255 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0194 loss: 0.0492 2022/08/26 06:20:17 - mmengine - INFO - Epoch(train) [205][40/63] lr: 1.0000e-05 eta: 14:59:16 time: 0.9605 data_time: 0.0249 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0183 loss: 0.0452 2022/08/26 06:20:21 - mmengine - INFO - Epoch(train) [205][45/63] lr: 1.0000e-05 eta: 14:59:16 time: 0.9239 data_time: 0.0324 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0182 loss: 0.0448 2022/08/26 06:20:26 - mmengine - INFO - Epoch(train) [205][50/63] lr: 1.0000e-05 eta: 14:58:30 time: 0.8718 data_time: 0.0416 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0178 loss: 0.0418 2022/08/26 06:20:30 - mmengine - INFO - Epoch(train) [205][55/63] lr: 1.0000e-05 eta: 14:58:30 time: 0.8705 data_time: 0.0348 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0193 loss: 0.0468 2022/08/26 06:20:34 - mmengine - INFO - Epoch(train) [205][60/63] lr: 1.0000e-05 eta: 14:57:43 time: 0.8599 data_time: 0.0249 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0197 loss: 0.0480 2022/08/26 06:20:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:22:05 - mmengine - INFO - Epoch(train) [206][5/63] lr: 1.0000e-05 eta: 14:57:43 time: 9.2230 data_time: 8.4029 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0181 loss: 0.0450 2022/08/26 06:22:10 - mmengine - INFO - Epoch(train) [206][10/63] lr: 1.0000e-05 eta: 14:59:19 time: 9.2716 data_time: 8.4406 memory: 25127 loss_text: 0.0326 loss_kernel: 0.0212 loss: 0.0538 2022/08/26 06:22:14 - mmengine - INFO - Epoch(train) [206][15/63] lr: 1.0000e-05 eta: 14:59:19 time: 0.8671 data_time: 0.0503 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0204 loss: 0.0511 2022/08/26 06:22:18 - mmengine - INFO - Epoch(train) [206][20/63] lr: 1.0000e-05 eta: 14:58:32 time: 0.8700 data_time: 0.0241 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0169 loss: 0.0396 2022/08/26 06:22:23 - mmengine - INFO - Epoch(train) [206][25/63] lr: 1.0000e-05 eta: 14:58:32 time: 0.8889 data_time: 0.0361 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0189 loss: 0.0440 2022/08/26 06:22:27 - mmengine - INFO - Epoch(train) [206][30/63] lr: 1.0000e-05 eta: 14:57:46 time: 0.8585 data_time: 0.0284 memory: 25127 loss_text: 0.0294 loss_kernel: 0.0201 loss: 0.0495 2022/08/26 06:22:31 - mmengine - INFO - Epoch(train) [206][35/63] lr: 1.0000e-05 eta: 14:57:46 time: 0.8336 data_time: 0.0275 memory: 25127 loss_text: 0.0335 loss_kernel: 0.0217 loss: 0.0552 2022/08/26 06:22:35 - mmengine - INFO - Epoch(train) [206][40/63] lr: 1.0000e-05 eta: 14:56:58 time: 0.8258 data_time: 0.0294 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0241 loss: 0.0624 2022/08/26 06:22:39 - mmengine - INFO - Epoch(train) [206][45/63] lr: 1.0000e-05 eta: 14:56:58 time: 0.8223 data_time: 0.0254 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0220 loss: 0.0566 2022/08/26 06:22:43 - mmengine - INFO - Epoch(train) [206][50/63] lr: 1.0000e-05 eta: 14:56:11 time: 0.8183 data_time: 0.0296 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0216 loss: 0.0532 2022/08/26 06:22:48 - mmengine - INFO - Epoch(train) [206][55/63] lr: 1.0000e-05 eta: 14:56:11 time: 0.9041 data_time: 0.0337 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0206 loss: 0.0504 2022/08/26 06:22:52 - mmengine - INFO - Epoch(train) [206][60/63] lr: 1.0000e-05 eta: 14:55:25 time: 0.9232 data_time: 0.0265 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0195 loss: 0.0482 2022/08/26 06:22:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:24:22 - mmengine - INFO - Epoch(train) [207][5/63] lr: 1.0000e-05 eta: 14:55:25 time: 9.0956 data_time: 8.2957 memory: 25127 loss_text: 0.0377 loss_kernel: 0.0228 loss: 0.0605 2022/08/26 06:24:26 - mmengine - INFO - Epoch(train) [207][10/63] lr: 1.0000e-05 eta: 14:56:58 time: 9.1571 data_time: 8.3091 memory: 25127 loss_text: 0.0344 loss_kernel: 0.0217 loss: 0.0561 2022/08/26 06:24:31 - mmengine - INFO - Epoch(train) [207][15/63] lr: 1.0000e-05 eta: 14:56:58 time: 0.8808 data_time: 0.0354 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0227 loss: 0.0594 2022/08/26 06:24:35 - mmengine - INFO - Epoch(train) [207][20/63] lr: 1.0000e-05 eta: 14:56:12 time: 0.8684 data_time: 0.0373 memory: 25127 loss_text: 0.0311 loss_kernel: 0.0202 loss: 0.0513 2022/08/26 06:24:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:24:39 - mmengine - INFO - Epoch(train) [207][25/63] lr: 1.0000e-05 eta: 14:56:12 time: 0.8564 data_time: 0.0377 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0169 loss: 0.0400 2022/08/26 06:24:44 - mmengine - INFO - Epoch(train) [207][30/63] lr: 1.0000e-05 eta: 14:55:25 time: 0.8625 data_time: 0.0304 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0171 loss: 0.0408 2022/08/26 06:24:48 - mmengine - INFO - Epoch(train) [207][35/63] lr: 1.0000e-05 eta: 14:55:25 time: 0.8676 data_time: 0.0386 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0201 loss: 0.0500 2022/08/26 06:24:52 - mmengine - INFO - Epoch(train) [207][40/63] lr: 1.0000e-05 eta: 14:54:39 time: 0.8593 data_time: 0.0310 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0206 loss: 0.0504 2022/08/26 06:24:57 - mmengine - INFO - Epoch(train) [207][45/63] lr: 1.0000e-05 eta: 14:54:39 time: 0.8752 data_time: 0.0299 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0180 loss: 0.0424 2022/08/26 06:25:01 - mmengine - INFO - Epoch(train) [207][50/63] lr: 1.0000e-05 eta: 14:53:53 time: 0.8760 data_time: 0.0323 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0186 loss: 0.0442 2022/08/26 06:25:05 - mmengine - INFO - Epoch(train) [207][55/63] lr: 1.0000e-05 eta: 14:53:53 time: 0.8735 data_time: 0.0278 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0206 loss: 0.0491 2022/08/26 06:25:10 - mmengine - INFO - Epoch(train) [207][60/63] lr: 1.0000e-05 eta: 14:53:06 time: 0.8702 data_time: 0.0300 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0202 loss: 0.0489 2022/08/26 06:25:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:26:41 - mmengine - INFO - Epoch(train) [208][5/63] lr: 1.0000e-05 eta: 14:53:06 time: 9.3439 data_time: 8.5621 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0189 loss: 0.0472 2022/08/26 06:26:46 - mmengine - INFO - Epoch(train) [208][10/63] lr: 1.0000e-05 eta: 14:54:43 time: 9.4094 data_time: 8.5852 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0181 loss: 0.0451 2022/08/26 06:26:50 - mmengine - INFO - Epoch(train) [208][15/63] lr: 1.0000e-05 eta: 14:54:43 time: 0.8492 data_time: 0.0370 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0192 loss: 0.0474 2022/08/26 06:26:54 - mmengine - INFO - Epoch(train) [208][20/63] lr: 1.0000e-05 eta: 14:53:56 time: 0.8356 data_time: 0.0260 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0194 loss: 0.0478 2022/08/26 06:26:59 - mmengine - INFO - Epoch(train) [208][25/63] lr: 1.0000e-05 eta: 14:53:56 time: 0.9392 data_time: 0.0398 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0248 loss: 0.0623 2022/08/26 06:27:03 - mmengine - INFO - Epoch(train) [208][30/63] lr: 1.0000e-05 eta: 14:53:11 time: 0.9288 data_time: 0.0283 memory: 25127 loss_text: 0.0338 loss_kernel: 0.0237 loss: 0.0574 2022/08/26 06:27:08 - mmengine - INFO - Epoch(train) [208][35/63] lr: 1.0000e-05 eta: 14:53:11 time: 0.8659 data_time: 0.0227 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0194 loss: 0.0438 2022/08/26 06:27:12 - mmengine - INFO - Epoch(train) [208][40/63] lr: 1.0000e-05 eta: 14:52:25 time: 0.8801 data_time: 0.0285 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0211 loss: 0.0500 2022/08/26 06:27:17 - mmengine - INFO - Epoch(train) [208][45/63] lr: 1.0000e-05 eta: 14:52:25 time: 0.8528 data_time: 0.0356 memory: 25127 loss_text: 0.0317 loss_kernel: 0.0208 loss: 0.0526 2022/08/26 06:27:21 - mmengine - INFO - Epoch(train) [208][50/63] lr: 1.0000e-05 eta: 14:51:39 time: 0.8534 data_time: 0.0341 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0196 loss: 0.0500 2022/08/26 06:27:25 - mmengine - INFO - Epoch(train) [208][55/63] lr: 1.0000e-05 eta: 14:51:39 time: 0.8530 data_time: 0.0291 memory: 25127 loss_text: 0.0334 loss_kernel: 0.0208 loss: 0.0542 2022/08/26 06:27:29 - mmengine - INFO - Epoch(train) [208][60/63] lr: 1.0000e-05 eta: 14:50:52 time: 0.8520 data_time: 0.0278 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0214 loss: 0.0544 2022/08/26 06:27:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:28:58 - mmengine - INFO - Epoch(train) [209][5/63] lr: 1.0000e-05 eta: 14:50:52 time: 8.9824 data_time: 8.1835 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0199 loss: 0.0490 2022/08/26 06:29:02 - mmengine - INFO - Epoch(train) [209][10/63] lr: 1.0000e-05 eta: 14:52:21 time: 9.0397 data_time: 8.1973 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0200 loss: 0.0491 2022/08/26 06:29:07 - mmengine - INFO - Epoch(train) [209][15/63] lr: 1.0000e-05 eta: 14:52:21 time: 0.9014 data_time: 0.0527 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0193 loss: 0.0481 2022/08/26 06:29:11 - mmengine - INFO - Epoch(train) [209][20/63] lr: 1.0000e-05 eta: 14:51:36 time: 0.9072 data_time: 0.0477 memory: 25127 loss_text: 0.0328 loss_kernel: 0.0206 loss: 0.0534 2022/08/26 06:29:15 - mmengine - INFO - Epoch(train) [209][25/63] lr: 1.0000e-05 eta: 14:51:36 time: 0.8651 data_time: 0.0292 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0188 loss: 0.0471 2022/08/26 06:29:19 - mmengine - INFO - Epoch(train) [209][30/63] lr: 1.0000e-05 eta: 14:50:50 time: 0.8496 data_time: 0.0317 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0169 loss: 0.0402 2022/08/26 06:29:24 - mmengine - INFO - Epoch(train) [209][35/63] lr: 1.0000e-05 eta: 14:50:50 time: 0.8737 data_time: 0.0350 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0173 loss: 0.0409 2022/08/26 06:29:28 - mmengine - INFO - Epoch(train) [209][40/63] lr: 1.0000e-05 eta: 14:50:04 time: 0.8771 data_time: 0.0299 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0171 loss: 0.0410 2022/08/26 06:29:32 - mmengine - INFO - Epoch(train) [209][45/63] lr: 1.0000e-05 eta: 14:50:04 time: 0.8405 data_time: 0.0270 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0166 loss: 0.0396 2022/08/26 06:29:37 - mmengine - INFO - Epoch(train) [209][50/63] lr: 1.0000e-05 eta: 14:49:18 time: 0.8947 data_time: 0.0319 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0169 loss: 0.0404 2022/08/26 06:29:42 - mmengine - INFO - Epoch(train) [209][55/63] lr: 1.0000e-05 eta: 14:49:18 time: 0.9096 data_time: 0.0356 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0184 loss: 0.0440 2022/08/26 06:29:46 - mmengine - INFO - Epoch(train) [209][60/63] lr: 1.0000e-05 eta: 14:48:32 time: 0.8415 data_time: 0.0283 memory: 25127 loss_text: 0.0388 loss_kernel: 0.0243 loss: 0.0631 2022/08/26 06:29:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:31:16 - mmengine - INFO - Epoch(train) [210][5/63] lr: 1.0000e-05 eta: 14:48:32 time: 9.2132 data_time: 8.3995 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0196 loss: 0.0491 2022/08/26 06:31:21 - mmengine - INFO - Epoch(train) [210][10/63] lr: 1.0000e-05 eta: 14:50:04 time: 9.2684 data_time: 8.4146 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0172 loss: 0.0407 2022/08/26 06:31:25 - mmengine - INFO - Epoch(train) [210][15/63] lr: 1.0000e-05 eta: 14:50:04 time: 0.8694 data_time: 0.0350 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0181 loss: 0.0428 2022/08/26 06:31:30 - mmengine - INFO - Epoch(train) [210][20/63] lr: 1.0000e-05 eta: 14:49:19 time: 0.9120 data_time: 0.0266 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0188 loss: 0.0473 2022/08/26 06:31:34 - mmengine - INFO - Epoch(train) [210][25/63] lr: 1.0000e-05 eta: 14:49:19 time: 0.9166 data_time: 0.0322 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0176 loss: 0.0445 2022/08/26 06:31:38 - mmengine - INFO - Epoch(train) [210][30/63] lr: 1.0000e-05 eta: 14:48:33 time: 0.8685 data_time: 0.0308 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0170 loss: 0.0394 2022/08/26 06:31:43 - mmengine - INFO - Epoch(train) [210][35/63] lr: 1.0000e-05 eta: 14:48:33 time: 0.8574 data_time: 0.0257 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0180 loss: 0.0417 2022/08/26 06:31:47 - mmengine - INFO - Epoch(train) [210][40/63] lr: 1.0000e-05 eta: 14:47:47 time: 0.8726 data_time: 0.0293 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0195 loss: 0.0481 2022/08/26 06:31:52 - mmengine - INFO - Epoch(train) [210][45/63] lr: 1.0000e-05 eta: 14:47:47 time: 0.8959 data_time: 0.0376 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0217 loss: 0.0548 2022/08/26 06:31:56 - mmengine - INFO - Epoch(train) [210][50/63] lr: 1.0000e-05 eta: 14:47:02 time: 0.8865 data_time: 0.0339 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0222 loss: 0.0583 2022/08/26 06:32:00 - mmengine - INFO - Epoch(train) [210][55/63] lr: 1.0000e-05 eta: 14:47:02 time: 0.8678 data_time: 0.0307 memory: 25127 loss_text: 0.0357 loss_kernel: 0.0220 loss: 0.0578 2022/08/26 06:32:04 - mmengine - INFO - Epoch(train) [210][60/63] lr: 1.0000e-05 eta: 14:46:16 time: 0.8540 data_time: 0.0258 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0199 loss: 0.0505 2022/08/26 06:32:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:33:36 - mmengine - INFO - Epoch(train) [211][5/63] lr: 1.0000e-05 eta: 14:46:16 time: 9.2604 data_time: 8.4617 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0204 loss: 0.0512 2022/08/26 06:33:40 - mmengine - INFO - Epoch(train) [211][10/63] lr: 1.0000e-05 eta: 14:47:48 time: 9.2744 data_time: 8.4737 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0218 loss: 0.0564 2022/08/26 06:33:44 - mmengine - INFO - Epoch(train) [211][15/63] lr: 1.0000e-05 eta: 14:47:48 time: 0.8810 data_time: 0.0344 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0208 loss: 0.0532 2022/08/26 06:33:49 - mmengine - INFO - Epoch(train) [211][20/63] lr: 1.0000e-05 eta: 14:47:03 time: 0.9152 data_time: 0.0354 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0229 loss: 0.0599 2022/08/26 06:33:53 - mmengine - INFO - Epoch(train) [211][25/63] lr: 1.0000e-05 eta: 14:47:03 time: 0.8650 data_time: 0.0323 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0221 loss: 0.0553 2022/08/26 06:33:57 - mmengine - INFO - Epoch(train) [211][30/63] lr: 1.0000e-05 eta: 14:46:17 time: 0.8596 data_time: 0.0267 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0180 loss: 0.0418 2022/08/26 06:34:02 - mmengine - INFO - Epoch(train) [211][35/63] lr: 1.0000e-05 eta: 14:46:17 time: 0.8730 data_time: 0.0353 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0195 loss: 0.0480 2022/08/26 06:34:06 - mmengine - INFO - Epoch(train) [211][40/63] lr: 1.0000e-05 eta: 14:45:31 time: 0.8676 data_time: 0.0313 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0234 loss: 0.0618 2022/08/26 06:34:10 - mmengine - INFO - Epoch(train) [211][45/63] lr: 1.0000e-05 eta: 14:45:31 time: 0.8757 data_time: 0.0253 memory: 25127 loss_text: 0.0328 loss_kernel: 0.0207 loss: 0.0535 2022/08/26 06:34:15 - mmengine - INFO - Epoch(train) [211][50/63] lr: 1.0000e-05 eta: 14:44:45 time: 0.8618 data_time: 0.0249 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0172 loss: 0.0408 2022/08/26 06:34:19 - mmengine - INFO - Epoch(train) [211][55/63] lr: 1.0000e-05 eta: 14:44:45 time: 0.8662 data_time: 0.0305 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0222 loss: 0.0543 2022/08/26 06:34:23 - mmengine - INFO - Epoch(train) [211][60/63] lr: 1.0000e-05 eta: 14:44:00 time: 0.8597 data_time: 0.0288 memory: 25127 loss_text: 0.0317 loss_kernel: 0.0217 loss: 0.0534 2022/08/26 06:34:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:35:54 - mmengine - INFO - Epoch(train) [212][5/63] lr: 1.0000e-05 eta: 14:44:00 time: 9.2697 data_time: 8.4775 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0195 loss: 0.0509 2022/08/26 06:35:59 - mmengine - INFO - Epoch(train) [212][10/63] lr: 1.0000e-05 eta: 14:45:31 time: 9.3138 data_time: 8.5032 memory: 25127 loss_text: 0.0354 loss_kernel: 0.0224 loss: 0.0579 2022/08/26 06:36:03 - mmengine - INFO - Epoch(train) [212][15/63] lr: 1.0000e-05 eta: 14:45:31 time: 0.8355 data_time: 0.0388 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0220 loss: 0.0552 2022/08/26 06:36:07 - mmengine - INFO - Epoch(train) [212][20/63] lr: 1.0000e-05 eta: 14:44:46 time: 0.8711 data_time: 0.0247 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0211 loss: 0.0523 2022/08/26 06:36:12 - mmengine - INFO - Epoch(train) [212][25/63] lr: 1.0000e-05 eta: 14:44:46 time: 0.8811 data_time: 0.0358 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0230 loss: 0.0614 2022/08/26 06:36:16 - mmengine - INFO - Epoch(train) [212][30/63] lr: 1.0000e-05 eta: 14:43:59 time: 0.8285 data_time: 0.0227 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0221 loss: 0.0568 2022/08/26 06:36:20 - mmengine - INFO - Epoch(train) [212][35/63] lr: 1.0000e-05 eta: 14:43:59 time: 0.8352 data_time: 0.0273 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0191 loss: 0.0464 2022/08/26 06:36:24 - mmengine - INFO - Epoch(train) [212][40/63] lr: 1.0000e-05 eta: 14:43:13 time: 0.8321 data_time: 0.0290 memory: 25127 loss_text: 0.0315 loss_kernel: 0.0195 loss: 0.0510 2022/08/26 06:36:28 - mmengine - INFO - Epoch(train) [212][45/63] lr: 1.0000e-05 eta: 14:43:13 time: 0.8550 data_time: 0.0221 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0194 loss: 0.0493 2022/08/26 06:36:33 - mmengine - INFO - Epoch(train) [212][50/63] lr: 1.0000e-05 eta: 14:42:28 time: 0.8634 data_time: 0.0315 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0169 loss: 0.0402 2022/08/26 06:36:37 - mmengine - INFO - Epoch(train) [212][55/63] lr: 1.0000e-05 eta: 14:42:28 time: 0.8184 data_time: 0.0254 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0189 loss: 0.0468 2022/08/26 06:36:41 - mmengine - INFO - Epoch(train) [212][60/63] lr: 1.0000e-05 eta: 14:41:41 time: 0.8149 data_time: 0.0186 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0196 loss: 0.0488 2022/08/26 06:36:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:38:11 - mmengine - INFO - Epoch(train) [213][5/63] lr: 1.0000e-05 eta: 14:41:41 time: 9.1555 data_time: 8.3634 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0191 loss: 0.0440 2022/08/26 06:38:15 - mmengine - INFO - Epoch(train) [213][10/63] lr: 1.0000e-05 eta: 14:43:11 time: 9.2400 data_time: 8.3801 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0177 loss: 0.0426 2022/08/26 06:38:20 - mmengine - INFO - Epoch(train) [213][15/63] lr: 1.0000e-05 eta: 14:43:11 time: 0.8815 data_time: 0.0351 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0178 loss: 0.0425 2022/08/26 06:38:24 - mmengine - INFO - Epoch(train) [213][20/63] lr: 1.0000e-05 eta: 14:42:25 time: 0.8638 data_time: 0.0359 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0191 loss: 0.0453 2022/08/26 06:38:28 - mmengine - INFO - Epoch(train) [213][25/63] lr: 1.0000e-05 eta: 14:42:25 time: 0.8544 data_time: 0.0352 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0187 loss: 0.0441 2022/08/26 06:38:33 - mmengine - INFO - Epoch(train) [213][30/63] lr: 1.0000e-05 eta: 14:41:40 time: 0.8534 data_time: 0.0268 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0197 loss: 0.0479 2022/08/26 06:38:37 - mmengine - INFO - Epoch(train) [213][35/63] lr: 1.0000e-05 eta: 14:41:40 time: 0.8615 data_time: 0.0260 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0194 loss: 0.0474 2022/08/26 06:38:41 - mmengine - INFO - Epoch(train) [213][40/63] lr: 1.0000e-05 eta: 14:40:54 time: 0.8580 data_time: 0.0337 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0171 loss: 0.0398 2022/08/26 06:38:45 - mmengine - INFO - Epoch(train) [213][45/63] lr: 1.0000e-05 eta: 14:40:54 time: 0.8544 data_time: 0.0432 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0181 loss: 0.0428 2022/08/26 06:38:50 - mmengine - INFO - Epoch(train) [213][50/63] lr: 1.0000e-05 eta: 14:40:08 time: 0.8474 data_time: 0.0305 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0185 loss: 0.0438 2022/08/26 06:38:54 - mmengine - INFO - Epoch(train) [213][55/63] lr: 1.0000e-05 eta: 14:40:08 time: 0.8550 data_time: 0.0249 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0190 loss: 0.0432 2022/08/26 06:38:58 - mmengine - INFO - Epoch(train) [213][60/63] lr: 1.0000e-05 eta: 14:39:23 time: 0.8655 data_time: 0.0291 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0209 loss: 0.0504 2022/08/26 06:39:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:40:30 - mmengine - INFO - Epoch(train) [214][5/63] lr: 1.0000e-05 eta: 14:39:23 time: 9.3808 data_time: 8.5686 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0190 loss: 0.0472 2022/08/26 06:40:35 - mmengine - INFO - Epoch(train) [214][10/63] lr: 1.0000e-05 eta: 14:40:55 time: 9.4326 data_time: 8.5867 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0203 loss: 0.0495 2022/08/26 06:40:39 - mmengine - INFO - Epoch(train) [214][15/63] lr: 1.0000e-05 eta: 14:40:55 time: 0.8763 data_time: 0.0389 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0209 loss: 0.0505 2022/08/26 06:40:43 - mmengine - INFO - Epoch(train) [214][20/63] lr: 1.0000e-05 eta: 14:40:10 time: 0.8569 data_time: 0.0238 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0184 loss: 0.0439 2022/08/26 06:40:48 - mmengine - INFO - Epoch(train) [214][25/63] lr: 1.0000e-05 eta: 14:40:10 time: 0.8650 data_time: 0.0392 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0192 loss: 0.0480 2022/08/26 06:40:52 - mmengine - INFO - Epoch(train) [214][30/63] lr: 1.0000e-05 eta: 14:39:25 time: 0.8795 data_time: 0.0338 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0185 loss: 0.0456 2022/08/26 06:40:57 - mmengine - INFO - Epoch(train) [214][35/63] lr: 1.0000e-05 eta: 14:39:25 time: 0.8677 data_time: 0.0237 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0167 loss: 0.0397 2022/08/26 06:41:01 - mmengine - INFO - Epoch(train) [214][40/63] lr: 1.0000e-05 eta: 14:38:39 time: 0.8587 data_time: 0.0261 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0165 loss: 0.0392 2022/08/26 06:41:05 - mmengine - INFO - Epoch(train) [214][45/63] lr: 1.0000e-05 eta: 14:38:39 time: 0.8515 data_time: 0.0286 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0167 loss: 0.0397 2022/08/26 06:41:09 - mmengine - INFO - Epoch(train) [214][50/63] lr: 1.0000e-05 eta: 14:37:54 time: 0.8566 data_time: 0.0357 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0226 loss: 0.0563 2022/08/26 06:41:14 - mmengine - INFO - Epoch(train) [214][55/63] lr: 1.0000e-05 eta: 14:37:54 time: 0.8577 data_time: 0.0331 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0229 loss: 0.0572 2022/08/26 06:41:18 - mmengine - INFO - Epoch(train) [214][60/63] lr: 1.0000e-05 eta: 14:37:09 time: 0.8433 data_time: 0.0229 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0187 loss: 0.0443 2022/08/26 06:41:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:42:48 - mmengine - INFO - Epoch(train) [215][5/63] lr: 1.0000e-05 eta: 14:37:09 time: 9.1461 data_time: 8.3529 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0188 loss: 0.0432 2022/08/26 06:42:52 - mmengine - INFO - Epoch(train) [215][10/63] lr: 1.0000e-05 eta: 14:38:35 time: 9.1568 data_time: 8.3660 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0178 loss: 0.0414 2022/08/26 06:42:56 - mmengine - INFO - Epoch(train) [215][15/63] lr: 1.0000e-05 eta: 14:38:35 time: 0.8622 data_time: 0.0391 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0189 loss: 0.0449 2022/08/26 06:43:01 - mmengine - INFO - Epoch(train) [215][20/63] lr: 1.0000e-05 eta: 14:37:50 time: 0.9063 data_time: 0.0662 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0183 loss: 0.0443 2022/08/26 06:43:05 - mmengine - INFO - Epoch(train) [215][25/63] lr: 1.0000e-05 eta: 14:37:50 time: 0.8721 data_time: 0.0577 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0174 loss: 0.0408 2022/08/26 06:43:09 - mmengine - INFO - Epoch(train) [215][30/63] lr: 1.0000e-05 eta: 14:37:05 time: 0.8510 data_time: 0.0268 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0194 loss: 0.0448 2022/08/26 06:43:14 - mmengine - INFO - Epoch(train) [215][35/63] lr: 1.0000e-05 eta: 14:37:05 time: 0.8423 data_time: 0.0270 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0179 loss: 0.0419 2022/08/26 06:43:19 - mmengine - INFO - Epoch(train) [215][40/63] lr: 1.0000e-05 eta: 14:36:21 time: 0.9297 data_time: 0.0311 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0165 loss: 0.0390 2022/08/26 06:43:23 - mmengine - INFO - Epoch(train) [215][45/63] lr: 1.0000e-05 eta: 14:36:21 time: 0.9230 data_time: 0.0292 memory: 25127 loss_text: 0.0477 loss_kernel: 0.0265 loss: 0.0742 2022/08/26 06:43:27 - mmengine - INFO - Epoch(train) [215][50/63] lr: 1.0000e-05 eta: 14:35:35 time: 0.8284 data_time: 0.0257 memory: 25127 loss_text: 0.0523 loss_kernel: 0.0285 loss: 0.0808 2022/08/26 06:43:31 - mmengine - INFO - Epoch(train) [215][55/63] lr: 1.0000e-05 eta: 14:35:35 time: 0.8363 data_time: 0.0331 memory: 25127 loss_text: 0.0374 loss_kernel: 0.0227 loss: 0.0601 2022/08/26 06:43:35 - mmengine - INFO - Epoch(train) [215][60/63] lr: 1.0000e-05 eta: 14:34:50 time: 0.8248 data_time: 0.0259 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0212 loss: 0.0540 2022/08/26 06:43:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:45:07 - mmengine - INFO - Epoch(train) [216][5/63] lr: 1.0000e-05 eta: 14:34:50 time: 9.2873 data_time: 8.3420 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0186 loss: 0.0458 2022/08/26 06:45:11 - mmengine - INFO - Epoch(train) [216][10/63] lr: 1.0000e-05 eta: 14:36:16 time: 9.1826 data_time: 8.3372 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0187 loss: 0.0461 2022/08/26 06:45:15 - mmengine - INFO - Epoch(train) [216][15/63] lr: 1.0000e-05 eta: 14:36:16 time: 0.8463 data_time: 0.0361 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0208 loss: 0.0539 2022/08/26 06:45:20 - mmengine - INFO - Epoch(train) [216][20/63] lr: 1.0000e-05 eta: 14:35:31 time: 0.8885 data_time: 0.0395 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0209 loss: 0.0530 2022/08/26 06:45:24 - mmengine - INFO - Epoch(train) [216][25/63] lr: 1.0000e-05 eta: 14:35:31 time: 0.9059 data_time: 0.0217 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0177 loss: 0.0416 2022/08/26 06:45:29 - mmengine - INFO - Epoch(train) [216][30/63] lr: 1.0000e-05 eta: 14:34:46 time: 0.8824 data_time: 0.0257 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0199 loss: 0.0459 2022/08/26 06:45:33 - mmengine - INFO - Epoch(train) [216][35/63] lr: 1.0000e-05 eta: 14:34:46 time: 0.8767 data_time: 0.0357 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0196 loss: 0.0462 2022/08/26 06:45:37 - mmengine - INFO - Epoch(train) [216][40/63] lr: 1.0000e-05 eta: 14:34:02 time: 0.8764 data_time: 0.0269 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0179 loss: 0.0438 2022/08/26 06:45:42 - mmengine - INFO - Epoch(train) [216][45/63] lr: 1.0000e-05 eta: 14:34:02 time: 0.8827 data_time: 0.0259 memory: 25127 loss_text: 0.0388 loss_kernel: 0.0238 loss: 0.0626 2022/08/26 06:45:46 - mmengine - INFO - Epoch(train) [216][50/63] lr: 1.0000e-05 eta: 14:33:17 time: 0.8776 data_time: 0.0277 memory: 25127 loss_text: 0.0377 loss_kernel: 0.0235 loss: 0.0612 2022/08/26 06:45:50 - mmengine - INFO - Epoch(train) [216][55/63] lr: 1.0000e-05 eta: 14:33:17 time: 0.8701 data_time: 0.0307 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0191 loss: 0.0460 2022/08/26 06:45:55 - mmengine - INFO - Epoch(train) [216][60/63] lr: 1.0000e-05 eta: 14:32:32 time: 0.8664 data_time: 0.0317 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0206 loss: 0.0514 2022/08/26 06:45:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:47:24 - mmengine - INFO - Epoch(train) [217][5/63] lr: 1.0000e-05 eta: 14:32:32 time: 9.0923 data_time: 8.2891 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0209 loss: 0.0514 2022/08/26 06:47:28 - mmengine - INFO - Epoch(train) [217][10/63] lr: 1.0000e-05 eta: 14:33:57 time: 9.1483 data_time: 8.3051 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0197 loss: 0.0488 2022/08/26 06:47:33 - mmengine - INFO - Epoch(train) [217][15/63] lr: 1.0000e-05 eta: 14:33:57 time: 0.8917 data_time: 0.0377 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0193 loss: 0.0499 2022/08/26 06:47:37 - mmengine - INFO - Epoch(train) [217][20/63] lr: 1.0000e-05 eta: 14:33:12 time: 0.8714 data_time: 0.0239 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0187 loss: 0.0473 2022/08/26 06:47:42 - mmengine - INFO - Epoch(train) [217][25/63] lr: 1.0000e-05 eta: 14:33:12 time: 0.8532 data_time: 0.0389 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0169 loss: 0.0401 2022/08/26 06:47:46 - mmengine - INFO - Epoch(train) [217][30/63] lr: 1.0000e-05 eta: 14:32:27 time: 0.8591 data_time: 0.0395 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0179 loss: 0.0421 2022/08/26 06:47:50 - mmengine - INFO - Epoch(train) [217][35/63] lr: 1.0000e-05 eta: 14:32:27 time: 0.8515 data_time: 0.0254 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0206 loss: 0.0488 2022/08/26 06:47:54 - mmengine - INFO - Epoch(train) [217][40/63] lr: 1.0000e-05 eta: 14:31:43 time: 0.8681 data_time: 0.0292 memory: 25127 loss_text: 0.0328 loss_kernel: 0.0224 loss: 0.0552 2022/08/26 06:47:59 - mmengine - INFO - Epoch(train) [217][45/63] lr: 1.0000e-05 eta: 14:31:43 time: 0.9087 data_time: 0.0377 memory: 25127 loss_text: 0.0336 loss_kernel: 0.0215 loss: 0.0550 2022/08/26 06:48:03 - mmengine - INFO - Epoch(train) [217][50/63] lr: 1.0000e-05 eta: 14:30:58 time: 0.8927 data_time: 0.0350 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0213 loss: 0.0545 2022/08/26 06:48:08 - mmengine - INFO - Epoch(train) [217][55/63] lr: 1.0000e-05 eta: 14:30:58 time: 0.8535 data_time: 0.0272 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0197 loss: 0.0479 2022/08/26 06:48:12 - mmengine - INFO - Epoch(train) [217][60/63] lr: 1.0000e-05 eta: 14:30:14 time: 0.8610 data_time: 0.0225 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0198 loss: 0.0490 2022/08/26 06:48:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:49:43 - mmengine - INFO - Epoch(train) [218][5/63] lr: 1.0000e-05 eta: 14:30:14 time: 9.2914 data_time: 8.5079 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0198 loss: 0.0481 2022/08/26 06:49:48 - mmengine - INFO - Epoch(train) [218][10/63] lr: 1.0000e-05 eta: 14:31:41 time: 9.3488 data_time: 8.5320 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0204 loss: 0.0487 2022/08/26 06:49:52 - mmengine - INFO - Epoch(train) [218][15/63] lr: 1.0000e-05 eta: 14:31:41 time: 0.8541 data_time: 0.0357 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0189 loss: 0.0462 2022/08/26 06:49:56 - mmengine - INFO - Epoch(train) [218][20/63] lr: 1.0000e-05 eta: 14:30:56 time: 0.8254 data_time: 0.0190 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0178 loss: 0.0410 2022/08/26 06:50:01 - mmengine - INFO - Epoch(train) [218][25/63] lr: 1.0000e-05 eta: 14:30:56 time: 0.9499 data_time: 0.0339 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0192 loss: 0.0468 2022/08/26 06:50:06 - mmengine - INFO - Epoch(train) [218][30/63] lr: 1.0000e-05 eta: 14:30:13 time: 0.9522 data_time: 0.0282 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0191 loss: 0.0471 2022/08/26 06:50:10 - mmengine - INFO - Epoch(train) [218][35/63] lr: 1.0000e-05 eta: 14:30:13 time: 0.8911 data_time: 0.0224 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0178 loss: 0.0422 2022/08/26 06:50:14 - mmengine - INFO - Epoch(train) [218][40/63] lr: 1.0000e-05 eta: 14:29:28 time: 0.8841 data_time: 0.0257 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0204 loss: 0.0523 2022/08/26 06:50:19 - mmengine - INFO - Epoch(train) [218][45/63] lr: 1.0000e-05 eta: 14:29:28 time: 0.8911 data_time: 0.0277 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0207 loss: 0.0526 2022/08/26 06:50:24 - mmengine - INFO - Epoch(train) [218][50/63] lr: 1.0000e-05 eta: 14:28:45 time: 0.9105 data_time: 0.0293 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0190 loss: 0.0438 2022/08/26 06:50:28 - mmengine - INFO - Epoch(train) [218][55/63] lr: 1.0000e-05 eta: 14:28:45 time: 0.8541 data_time: 0.0274 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0189 loss: 0.0441 2022/08/26 06:50:32 - mmengine - INFO - Epoch(train) [218][60/63] lr: 1.0000e-05 eta: 14:28:00 time: 0.8423 data_time: 0.0266 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0174 loss: 0.0417 2022/08/26 06:50:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:52:02 - mmengine - INFO - Epoch(train) [219][5/63] lr: 1.0000e-05 eta: 14:28:00 time: 9.1376 data_time: 8.3477 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0199 loss: 0.0482 2022/08/26 06:52:06 - mmengine - INFO - Epoch(train) [219][10/63] lr: 1.0000e-05 eta: 14:29:24 time: 9.2337 data_time: 8.3681 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0195 loss: 0.0475 2022/08/26 06:52:11 - mmengine - INFO - Epoch(train) [219][15/63] lr: 1.0000e-05 eta: 14:29:24 time: 0.8838 data_time: 0.0320 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0175 loss: 0.0415 2022/08/26 06:52:15 - mmengine - INFO - Epoch(train) [219][20/63] lr: 1.0000e-05 eta: 14:28:40 time: 0.8608 data_time: 0.0235 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0174 loss: 0.0403 2022/08/26 06:52:20 - mmengine - INFO - Epoch(train) [219][25/63] lr: 1.0000e-05 eta: 14:28:40 time: 0.8868 data_time: 0.0311 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0186 loss: 0.0455 2022/08/26 06:52:24 - mmengine - INFO - Epoch(train) [219][30/63] lr: 1.0000e-05 eta: 14:27:55 time: 0.8812 data_time: 0.0266 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0192 loss: 0.0474 2022/08/26 06:52:28 - mmengine - INFO - Epoch(train) [219][35/63] lr: 1.0000e-05 eta: 14:27:55 time: 0.8689 data_time: 0.0277 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0197 loss: 0.0488 2022/08/26 06:52:33 - mmengine - INFO - Epoch(train) [219][40/63] lr: 1.0000e-05 eta: 14:27:11 time: 0.8727 data_time: 0.0276 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0194 loss: 0.0481 2022/08/26 06:52:37 - mmengine - INFO - Epoch(train) [219][45/63] lr: 1.0000e-05 eta: 14:27:11 time: 0.8540 data_time: 0.0307 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0169 loss: 0.0396 2022/08/26 06:52:41 - mmengine - INFO - Epoch(train) [219][50/63] lr: 1.0000e-05 eta: 14:26:27 time: 0.8783 data_time: 0.0324 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0162 loss: 0.0374 2022/08/26 06:52:46 - mmengine - INFO - Epoch(train) [219][55/63] lr: 1.0000e-05 eta: 14:26:27 time: 0.8792 data_time: 0.0276 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0176 loss: 0.0420 2022/08/26 06:52:50 - mmengine - INFO - Epoch(train) [219][60/63] lr: 1.0000e-05 eta: 14:25:42 time: 0.8405 data_time: 0.0254 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0182 loss: 0.0432 2022/08/26 06:52:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:54:19 - mmengine - INFO - Epoch(train) [220][5/63] lr: 1.0000e-05 eta: 14:25:42 time: 9.0692 data_time: 8.2740 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0185 loss: 0.0463 2022/08/26 06:54:23 - mmengine - INFO - Epoch(train) [220][10/63] lr: 1.0000e-05 eta: 14:27:04 time: 9.1314 data_time: 8.2847 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0165 loss: 0.0393 2022/08/26 06:54:28 - mmengine - INFO - Epoch(train) [220][15/63] lr: 1.0000e-05 eta: 14:27:04 time: 0.8814 data_time: 0.0324 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0179 loss: 0.0412 2022/08/26 06:54:32 - mmengine - INFO - Epoch(train) [220][20/63] lr: 1.0000e-05 eta: 14:26:20 time: 0.8910 data_time: 0.0331 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0223 loss: 0.0547 2022/08/26 06:54:37 - mmengine - INFO - Epoch(train) [220][25/63] lr: 1.0000e-05 eta: 14:26:20 time: 0.8723 data_time: 0.0315 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0208 loss: 0.0520 2022/08/26 06:54:41 - mmengine - INFO - Epoch(train) [220][30/63] lr: 1.0000e-05 eta: 14:25:36 time: 0.8930 data_time: 0.0268 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0210 loss: 0.0500 2022/08/26 06:54:45 - mmengine - INFO - Epoch(train) [220][35/63] lr: 1.0000e-05 eta: 14:25:36 time: 0.8956 data_time: 0.0271 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0208 loss: 0.0503 2022/08/26 06:54:50 - mmengine - INFO - Epoch(train) [220][40/63] lr: 1.0000e-05 eta: 14:24:52 time: 0.8643 data_time: 0.0323 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0173 loss: 0.0404 2022/08/26 06:54:54 - mmengine - INFO - Epoch(train) [220][45/63] lr: 1.0000e-05 eta: 14:24:52 time: 0.8612 data_time: 0.0370 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0177 loss: 0.0411 2022/08/26 06:54:59 - mmengine - INFO - Epoch(train) [220][50/63] lr: 1.0000e-05 eta: 14:24:08 time: 0.8767 data_time: 0.0280 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0171 loss: 0.0408 2022/08/26 06:55:03 - mmengine - INFO - Epoch(train) [220][55/63] lr: 1.0000e-05 eta: 14:24:08 time: 0.8744 data_time: 0.0263 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0174 loss: 0.0402 2022/08/26 06:55:07 - mmengine - INFO - Epoch(train) [220][60/63] lr: 1.0000e-05 eta: 14:23:24 time: 0.8575 data_time: 0.0281 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0171 loss: 0.0391 2022/08/26 06:55:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:55:09 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/26 06:56:43 - mmengine - INFO - Epoch(train) [221][5/63] lr: 1.0000e-05 eta: 14:23:24 time: 9.2408 data_time: 8.4711 memory: 25127 loss_text: 0.0356 loss_kernel: 0.0229 loss: 0.0585 2022/08/26 06:56:48 - mmengine - INFO - Epoch(train) [221][10/63] lr: 1.0000e-05 eta: 14:24:47 time: 9.2783 data_time: 8.4893 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0229 loss: 0.0588 2022/08/26 06:56:52 - mmengine - INFO - Epoch(train) [221][15/63] lr: 1.0000e-05 eta: 14:24:47 time: 0.8331 data_time: 0.0341 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0196 loss: 0.0477 2022/08/26 06:56:56 - mmengine - INFO - Epoch(train) [221][20/63] lr: 1.0000e-05 eta: 14:24:03 time: 0.8317 data_time: 0.0266 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0196 loss: 0.0487 2022/08/26 06:57:00 - mmengine - INFO - Epoch(train) [221][25/63] lr: 1.0000e-05 eta: 14:24:03 time: 0.8636 data_time: 0.0390 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0173 loss: 0.0422 2022/08/26 06:57:05 - mmengine - INFO - Epoch(train) [221][30/63] lr: 1.0000e-05 eta: 14:23:19 time: 0.8821 data_time: 0.0327 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0169 loss: 0.0409 2022/08/26 06:57:09 - mmengine - INFO - Epoch(train) [221][35/63] lr: 1.0000e-05 eta: 14:23:19 time: 0.8775 data_time: 0.0244 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0170 loss: 0.0403 2022/08/26 06:57:13 - mmengine - INFO - Epoch(train) [221][40/63] lr: 1.0000e-05 eta: 14:22:35 time: 0.8552 data_time: 0.0256 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0197 loss: 0.0451 2022/08/26 06:57:18 - mmengine - INFO - Epoch(train) [221][45/63] lr: 1.0000e-05 eta: 14:22:35 time: 0.8474 data_time: 0.0326 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0216 loss: 0.0519 2022/08/26 06:57:22 - mmengine - INFO - Epoch(train) [221][50/63] lr: 1.0000e-05 eta: 14:21:51 time: 0.8552 data_time: 0.0403 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0189 loss: 0.0465 2022/08/26 06:57:26 - mmengine - INFO - Epoch(train) [221][55/63] lr: 1.0000e-05 eta: 14:21:51 time: 0.8456 data_time: 0.0327 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0187 loss: 0.0442 2022/08/26 06:57:30 - mmengine - INFO - Epoch(train) [221][60/63] lr: 1.0000e-05 eta: 14:21:06 time: 0.8483 data_time: 0.0200 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0194 loss: 0.0465 2022/08/26 06:57:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 06:59:01 - mmengine - INFO - Epoch(train) [222][5/63] lr: 1.0000e-05 eta: 14:21:06 time: 9.1852 data_time: 8.3886 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0182 loss: 0.0445 2022/08/26 06:59:05 - mmengine - INFO - Epoch(train) [222][10/63] lr: 1.0000e-05 eta: 14:22:29 time: 9.2549 data_time: 8.4188 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0194 loss: 0.0472 2022/08/26 06:59:10 - mmengine - INFO - Epoch(train) [222][15/63] lr: 1.0000e-05 eta: 14:22:29 time: 0.9073 data_time: 0.0422 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0183 loss: 0.0435 2022/08/26 06:59:14 - mmengine - INFO - Epoch(train) [222][20/63] lr: 1.0000e-05 eta: 14:21:45 time: 0.9014 data_time: 0.0284 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0198 loss: 0.0481 2022/08/26 06:59:18 - mmengine - INFO - Epoch(train) [222][25/63] lr: 1.0000e-05 eta: 14:21:45 time: 0.8673 data_time: 0.0395 memory: 25127 loss_text: 0.0397 loss_kernel: 0.0245 loss: 0.0641 2022/08/26 06:59:23 - mmengine - INFO - Epoch(train) [222][30/63] lr: 1.0000e-05 eta: 14:21:01 time: 0.8484 data_time: 0.0382 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0216 loss: 0.0564 2022/08/26 06:59:27 - mmengine - INFO - Epoch(train) [222][35/63] lr: 1.0000e-05 eta: 14:21:01 time: 0.8415 data_time: 0.0387 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0172 loss: 0.0409 2022/08/26 06:59:31 - mmengine - INFO - Epoch(train) [222][40/63] lr: 1.0000e-05 eta: 14:20:17 time: 0.8739 data_time: 0.0363 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0164 loss: 0.0384 2022/08/26 06:59:35 - mmengine - INFO - Epoch(train) [222][45/63] lr: 1.0000e-05 eta: 14:20:17 time: 0.8634 data_time: 0.0277 memory: 25127 loss_text: 0.0359 loss_kernel: 0.0218 loss: 0.0577 2022/08/26 06:59:40 - mmengine - INFO - Epoch(train) [222][50/63] lr: 1.0000e-05 eta: 14:19:33 time: 0.8412 data_time: 0.0435 memory: 25127 loss_text: 0.0370 loss_kernel: 0.0230 loss: 0.0600 2022/08/26 06:59:44 - mmengine - INFO - Epoch(train) [222][55/63] lr: 1.0000e-05 eta: 14:19:33 time: 0.8466 data_time: 0.0462 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0198 loss: 0.0472 2022/08/26 06:59:49 - mmengine - INFO - Epoch(train) [222][60/63] lr: 1.0000e-05 eta: 14:18:50 time: 0.9261 data_time: 0.0198 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0226 loss: 0.0572 2022/08/26 06:59:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:01:19 - mmengine - INFO - Epoch(train) [223][5/63] lr: 1.0000e-05 eta: 14:18:50 time: 9.2198 data_time: 8.3123 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0174 loss: 0.0432 2022/08/26 07:01:23 - mmengine - INFO - Epoch(train) [223][10/63] lr: 1.0000e-05 eta: 14:20:11 time: 9.1863 data_time: 8.3362 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0183 loss: 0.0448 2022/08/26 07:01:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:01:27 - mmengine - INFO - Epoch(train) [223][15/63] lr: 1.0000e-05 eta: 14:20:11 time: 0.8585 data_time: 0.0383 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0190 loss: 0.0467 2022/08/26 07:01:32 - mmengine - INFO - Epoch(train) [223][20/63] lr: 1.0000e-05 eta: 14:19:27 time: 0.8540 data_time: 0.0246 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0197 loss: 0.0479 2022/08/26 07:01:36 - mmengine - INFO - Epoch(train) [223][25/63] lr: 1.0000e-05 eta: 14:19:27 time: 0.8679 data_time: 0.0473 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0190 loss: 0.0428 2022/08/26 07:01:41 - mmengine - INFO - Epoch(train) [223][30/63] lr: 1.0000e-05 eta: 14:18:43 time: 0.8954 data_time: 0.0333 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0185 loss: 0.0410 2022/08/26 07:01:45 - mmengine - INFO - Epoch(train) [223][35/63] lr: 1.0000e-05 eta: 14:18:43 time: 0.9111 data_time: 0.0226 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0173 loss: 0.0403 2022/08/26 07:01:49 - mmengine - INFO - Epoch(train) [223][40/63] lr: 1.0000e-05 eta: 14:18:00 time: 0.8896 data_time: 0.0287 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0172 loss: 0.0425 2022/08/26 07:01:54 - mmengine - INFO - Epoch(train) [223][45/63] lr: 1.0000e-05 eta: 14:18:00 time: 0.8703 data_time: 0.0267 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0183 loss: 0.0443 2022/08/26 07:01:58 - mmengine - INFO - Epoch(train) [223][50/63] lr: 1.0000e-05 eta: 14:17:17 time: 0.8863 data_time: 0.0411 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0193 loss: 0.0477 2022/08/26 07:02:03 - mmengine - INFO - Epoch(train) [223][55/63] lr: 1.0000e-05 eta: 14:17:17 time: 0.8729 data_time: 0.0398 memory: 25127 loss_text: 0.0356 loss_kernel: 0.0217 loss: 0.0573 2022/08/26 07:02:07 - mmengine - INFO - Epoch(train) [223][60/63] lr: 1.0000e-05 eta: 14:16:33 time: 0.8349 data_time: 0.0238 memory: 25127 loss_text: 0.0367 loss_kernel: 0.0229 loss: 0.0596 2022/08/26 07:02:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:03:37 - mmengine - INFO - Epoch(train) [224][5/63] lr: 1.0000e-05 eta: 14:16:33 time: 9.1897 data_time: 8.4242 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0248 loss: 0.0670 2022/08/26 07:03:41 - mmengine - INFO - Epoch(train) [224][10/63] lr: 1.0000e-05 eta: 14:17:53 time: 9.2444 data_time: 8.4328 memory: 25127 loss_text: 0.0365 loss_kernel: 0.0222 loss: 0.0586 2022/08/26 07:03:46 - mmengine - INFO - Epoch(train) [224][15/63] lr: 1.0000e-05 eta: 14:17:53 time: 0.8753 data_time: 0.0306 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0187 loss: 0.0473 2022/08/26 07:03:50 - mmengine - INFO - Epoch(train) [224][20/63] lr: 1.0000e-05 eta: 14:17:10 time: 0.8842 data_time: 0.0307 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0206 loss: 0.0491 2022/08/26 07:03:55 - mmengine - INFO - Epoch(train) [224][25/63] lr: 1.0000e-05 eta: 14:17:10 time: 0.8641 data_time: 0.0314 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0208 loss: 0.0489 2022/08/26 07:03:59 - mmengine - INFO - Epoch(train) [224][30/63] lr: 1.0000e-05 eta: 14:16:26 time: 0.8791 data_time: 0.0301 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0207 loss: 0.0506 2022/08/26 07:04:04 - mmengine - INFO - Epoch(train) [224][35/63] lr: 1.0000e-05 eta: 14:16:26 time: 0.9045 data_time: 0.0335 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0183 loss: 0.0438 2022/08/26 07:04:08 - mmengine - INFO - Epoch(train) [224][40/63] lr: 1.0000e-05 eta: 14:15:43 time: 0.8822 data_time: 0.0309 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0170 loss: 0.0406 2022/08/26 07:04:12 - mmengine - INFO - Epoch(train) [224][45/63] lr: 1.0000e-05 eta: 14:15:43 time: 0.8672 data_time: 0.0256 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0172 loss: 0.0408 2022/08/26 07:04:17 - mmengine - INFO - Epoch(train) [224][50/63] lr: 1.0000e-05 eta: 14:15:00 time: 0.8704 data_time: 0.0264 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0188 loss: 0.0426 2022/08/26 07:04:21 - mmengine - INFO - Epoch(train) [224][55/63] lr: 1.0000e-05 eta: 14:15:00 time: 0.8653 data_time: 0.0312 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0191 loss: 0.0428 2022/08/26 07:04:25 - mmengine - INFO - Epoch(train) [224][60/63] lr: 1.0000e-05 eta: 14:14:16 time: 0.8766 data_time: 0.0300 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0174 loss: 0.0408 2022/08/26 07:04:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:05:57 - mmengine - INFO - Epoch(train) [225][5/63] lr: 1.0000e-05 eta: 14:14:16 time: 9.3229 data_time: 8.5211 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0216 loss: 0.0567 2022/08/26 07:06:01 - mmengine - INFO - Epoch(train) [225][10/63] lr: 1.0000e-05 eta: 14:15:38 time: 9.3631 data_time: 8.5318 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0163 loss: 0.0397 2022/08/26 07:06:05 - mmengine - INFO - Epoch(train) [225][15/63] lr: 1.0000e-05 eta: 14:15:38 time: 0.8443 data_time: 0.0268 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0187 loss: 0.0466 2022/08/26 07:06:10 - mmengine - INFO - Epoch(train) [225][20/63] lr: 1.0000e-05 eta: 14:14:55 time: 0.9094 data_time: 0.0198 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0196 loss: 0.0483 2022/08/26 07:06:15 - mmengine - INFO - Epoch(train) [225][25/63] lr: 1.0000e-05 eta: 14:14:55 time: 0.9242 data_time: 0.0345 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0187 loss: 0.0432 2022/08/26 07:06:19 - mmengine - INFO - Epoch(train) [225][30/63] lr: 1.0000e-05 eta: 14:14:12 time: 0.8545 data_time: 0.0301 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0183 loss: 0.0421 2022/08/26 07:06:23 - mmengine - INFO - Epoch(train) [225][35/63] lr: 1.0000e-05 eta: 14:14:12 time: 0.8471 data_time: 0.0256 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0177 loss: 0.0418 2022/08/26 07:06:28 - mmengine - INFO - Epoch(train) [225][40/63] lr: 1.0000e-05 eta: 14:13:28 time: 0.8626 data_time: 0.0309 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0194 loss: 0.0479 2022/08/26 07:06:32 - mmengine - INFO - Epoch(train) [225][45/63] lr: 1.0000e-05 eta: 14:13:28 time: 0.9025 data_time: 0.0300 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0188 loss: 0.0468 2022/08/26 07:06:36 - mmengine - INFO - Epoch(train) [225][50/63] lr: 1.0000e-05 eta: 14:12:45 time: 0.8849 data_time: 0.0273 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0173 loss: 0.0422 2022/08/26 07:06:41 - mmengine - INFO - Epoch(train) [225][55/63] lr: 1.0000e-05 eta: 14:12:45 time: 0.8527 data_time: 0.0262 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0188 loss: 0.0464 2022/08/26 07:06:45 - mmengine - INFO - Epoch(train) [225][60/63] lr: 1.0000e-05 eta: 14:12:02 time: 0.8548 data_time: 0.0265 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0200 loss: 0.0500 2022/08/26 07:06:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:08:15 - mmengine - INFO - Epoch(train) [226][5/63] lr: 1.0000e-05 eta: 14:12:02 time: 9.1651 data_time: 8.3558 memory: 25127 loss_text: 0.0222 loss_kernel: 0.0166 loss: 0.0388 2022/08/26 07:08:19 - mmengine - INFO - Epoch(train) [226][10/63] lr: 1.0000e-05 eta: 14:13:20 time: 9.2267 data_time: 8.3778 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0194 loss: 0.0477 2022/08/26 07:08:24 - mmengine - INFO - Epoch(train) [226][15/63] lr: 1.0000e-05 eta: 14:13:20 time: 0.8846 data_time: 0.0406 memory: 25127 loss_text: 0.0315 loss_kernel: 0.0220 loss: 0.0534 2022/08/26 07:08:29 - mmengine - INFO - Epoch(train) [226][20/63] lr: 1.0000e-05 eta: 14:12:38 time: 0.9121 data_time: 0.0311 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0212 loss: 0.0513 2022/08/26 07:08:33 - mmengine - INFO - Epoch(train) [226][25/63] lr: 1.0000e-05 eta: 14:12:38 time: 0.8915 data_time: 0.0375 memory: 25127 loss_text: 0.0303 loss_kernel: 0.0198 loss: 0.0500 2022/08/26 07:08:37 - mmengine - INFO - Epoch(train) [226][30/63] lr: 1.0000e-05 eta: 14:11:54 time: 0.8636 data_time: 0.0297 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0174 loss: 0.0426 2022/08/26 07:08:42 - mmengine - INFO - Epoch(train) [226][35/63] lr: 1.0000e-05 eta: 14:11:54 time: 0.8784 data_time: 0.0230 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0179 loss: 0.0438 2022/08/26 07:08:46 - mmengine - INFO - Epoch(train) [226][40/63] lr: 1.0000e-05 eta: 14:11:12 time: 0.8888 data_time: 0.0259 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0182 loss: 0.0445 2022/08/26 07:08:51 - mmengine - INFO - Epoch(train) [226][45/63] lr: 1.0000e-05 eta: 14:11:12 time: 0.8990 data_time: 0.0327 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0189 loss: 0.0451 2022/08/26 07:08:55 - mmengine - INFO - Epoch(train) [226][50/63] lr: 1.0000e-05 eta: 14:10:29 time: 0.8761 data_time: 0.0282 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0187 loss: 0.0447 2022/08/26 07:08:59 - mmengine - INFO - Epoch(train) [226][55/63] lr: 1.0000e-05 eta: 14:10:29 time: 0.8497 data_time: 0.0243 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0159 loss: 0.0377 2022/08/26 07:09:03 - mmengine - INFO - Epoch(train) [226][60/63] lr: 1.0000e-05 eta: 14:09:45 time: 0.8270 data_time: 0.0257 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0162 loss: 0.0393 2022/08/26 07:09:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:10:34 - mmengine - INFO - Epoch(train) [227][5/63] lr: 1.0000e-05 eta: 14:09:45 time: 9.2211 data_time: 8.4162 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0193 loss: 0.0475 2022/08/26 07:10:38 - mmengine - INFO - Epoch(train) [227][10/63] lr: 1.0000e-05 eta: 14:11:04 time: 9.3048 data_time: 8.4359 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0169 loss: 0.0392 2022/08/26 07:10:43 - mmengine - INFO - Epoch(train) [227][15/63] lr: 1.0000e-05 eta: 14:11:04 time: 0.8873 data_time: 0.0398 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0160 loss: 0.0383 2022/08/26 07:10:47 - mmengine - INFO - Epoch(train) [227][20/63] lr: 1.0000e-05 eta: 14:10:21 time: 0.8728 data_time: 0.0351 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0196 loss: 0.0494 2022/08/26 07:10:52 - mmengine - INFO - Epoch(train) [227][25/63] lr: 1.0000e-05 eta: 14:10:21 time: 0.8656 data_time: 0.0328 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0199 loss: 0.0498 2022/08/26 07:10:56 - mmengine - INFO - Epoch(train) [227][30/63] lr: 1.0000e-05 eta: 14:09:38 time: 0.8760 data_time: 0.0260 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0192 loss: 0.0475 2022/08/26 07:11:00 - mmengine - INFO - Epoch(train) [227][35/63] lr: 1.0000e-05 eta: 14:09:38 time: 0.8774 data_time: 0.0254 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0192 loss: 0.0465 2022/08/26 07:11:05 - mmengine - INFO - Epoch(train) [227][40/63] lr: 1.0000e-05 eta: 14:08:55 time: 0.8771 data_time: 0.0255 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0178 loss: 0.0434 2022/08/26 07:11:09 - mmengine - INFO - Epoch(train) [227][45/63] lr: 1.0000e-05 eta: 14:08:55 time: 0.8809 data_time: 0.0357 memory: 25127 loss_text: 0.0382 loss_kernel: 0.0229 loss: 0.0612 2022/08/26 07:11:14 - mmengine - INFO - Epoch(train) [227][50/63] lr: 1.0000e-05 eta: 14:08:12 time: 0.8826 data_time: 0.0300 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0225 loss: 0.0577 2022/08/26 07:11:18 - mmengine - INFO - Epoch(train) [227][55/63] lr: 1.0000e-05 eta: 14:08:12 time: 0.8581 data_time: 0.0252 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0170 loss: 0.0394 2022/08/26 07:11:22 - mmengine - INFO - Epoch(train) [227][60/63] lr: 1.0000e-05 eta: 14:07:29 time: 0.8485 data_time: 0.0316 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0174 loss: 0.0406 2022/08/26 07:11:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:12:51 - mmengine - INFO - Epoch(train) [228][5/63] lr: 1.0000e-05 eta: 14:07:29 time: 9.0650 data_time: 8.2509 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0197 loss: 0.0474 2022/08/26 07:12:55 - mmengine - INFO - Epoch(train) [228][10/63] lr: 1.0000e-05 eta: 14:08:44 time: 9.0900 data_time: 8.2733 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0219 loss: 0.0523 2022/08/26 07:13:00 - mmengine - INFO - Epoch(train) [228][15/63] lr: 1.0000e-05 eta: 14:08:44 time: 0.9126 data_time: 0.0363 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0203 loss: 0.0486 2022/08/26 07:13:04 - mmengine - INFO - Epoch(train) [228][20/63] lr: 1.0000e-05 eta: 14:08:02 time: 0.9114 data_time: 0.0204 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0188 loss: 0.0468 2022/08/26 07:13:09 - mmengine - INFO - Epoch(train) [228][25/63] lr: 1.0000e-05 eta: 14:08:02 time: 0.8409 data_time: 0.0328 memory: 25127 loss_text: 0.0393 loss_kernel: 0.0235 loss: 0.0627 2022/08/26 07:13:13 - mmengine - INFO - Epoch(train) [228][30/63] lr: 1.0000e-05 eta: 14:07:18 time: 0.8373 data_time: 0.0237 memory: 25127 loss_text: 0.0348 loss_kernel: 0.0220 loss: 0.0568 2022/08/26 07:13:17 - mmengine - INFO - Epoch(train) [228][35/63] lr: 1.0000e-05 eta: 14:07:18 time: 0.8469 data_time: 0.0231 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0183 loss: 0.0445 2022/08/26 07:13:22 - mmengine - INFO - Epoch(train) [228][40/63] lr: 1.0000e-05 eta: 14:06:36 time: 0.9246 data_time: 0.0303 memory: 25127 loss_text: 0.0402 loss_kernel: 0.0239 loss: 0.0642 2022/08/26 07:13:26 - mmengine - INFO - Epoch(train) [228][45/63] lr: 1.0000e-05 eta: 14:06:36 time: 0.9198 data_time: 0.0263 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0224 loss: 0.0584 2022/08/26 07:13:31 - mmengine - INFO - Epoch(train) [228][50/63] lr: 1.0000e-05 eta: 14:05:53 time: 0.8582 data_time: 0.0316 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0177 loss: 0.0431 2022/08/26 07:13:35 - mmengine - INFO - Epoch(train) [228][55/63] lr: 1.0000e-05 eta: 14:05:53 time: 0.8556 data_time: 0.0285 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0168 loss: 0.0411 2022/08/26 07:13:39 - mmengine - INFO - Epoch(train) [228][60/63] lr: 1.0000e-05 eta: 14:05:10 time: 0.8423 data_time: 0.0192 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0183 loss: 0.0453 2022/08/26 07:13:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:15:09 - mmengine - INFO - Epoch(train) [229][5/63] lr: 1.0000e-05 eta: 14:05:10 time: 9.1343 data_time: 8.3240 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0173 loss: 0.0404 2022/08/26 07:15:13 - mmengine - INFO - Epoch(train) [229][10/63] lr: 1.0000e-05 eta: 14:06:25 time: 9.1434 data_time: 8.3362 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0183 loss: 0.0413 2022/08/26 07:15:17 - mmengine - INFO - Epoch(train) [229][15/63] lr: 1.0000e-05 eta: 14:06:25 time: 0.8357 data_time: 0.0320 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0172 loss: 0.0395 2022/08/26 07:15:21 - mmengine - INFO - Epoch(train) [229][20/63] lr: 1.0000e-05 eta: 14:05:42 time: 0.8347 data_time: 0.0244 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0166 loss: 0.0390 2022/08/26 07:15:26 - mmengine - INFO - Epoch(train) [229][25/63] lr: 1.0000e-05 eta: 14:05:42 time: 0.8497 data_time: 0.0344 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0207 loss: 0.0502 2022/08/26 07:15:30 - mmengine - INFO - Epoch(train) [229][30/63] lr: 1.0000e-05 eta: 14:04:58 time: 0.8426 data_time: 0.0301 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0218 loss: 0.0549 2022/08/26 07:15:34 - mmengine - INFO - Epoch(train) [229][35/63] lr: 1.0000e-05 eta: 14:04:58 time: 0.8279 data_time: 0.0271 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0189 loss: 0.0475 2022/08/26 07:15:38 - mmengine - INFO - Epoch(train) [229][40/63] lr: 1.0000e-05 eta: 14:04:15 time: 0.8226 data_time: 0.0298 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0181 loss: 0.0432 2022/08/26 07:15:42 - mmengine - INFO - Epoch(train) [229][45/63] lr: 1.0000e-05 eta: 14:04:15 time: 0.8491 data_time: 0.0285 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0169 loss: 0.0407 2022/08/26 07:15:46 - mmengine - INFO - Epoch(train) [229][50/63] lr: 1.0000e-05 eta: 14:03:32 time: 0.8456 data_time: 0.0269 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0173 loss: 0.0436 2022/08/26 07:15:51 - mmengine - INFO - Epoch(train) [229][55/63] lr: 1.0000e-05 eta: 14:03:32 time: 0.8321 data_time: 0.0268 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0178 loss: 0.0445 2022/08/26 07:15:55 - mmengine - INFO - Epoch(train) [229][60/63] lr: 1.0000e-05 eta: 14:02:48 time: 0.8222 data_time: 0.0218 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0176 loss: 0.0414 2022/08/26 07:15:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:17:25 - mmengine - INFO - Epoch(train) [230][5/63] lr: 1.0000e-05 eta: 14:02:48 time: 9.1735 data_time: 8.3983 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0211 loss: 0.0528 2022/08/26 07:17:29 - mmengine - INFO - Epoch(train) [230][10/63] lr: 1.0000e-05 eta: 14:04:05 time: 9.2473 data_time: 8.4107 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0169 loss: 0.0399 2022/08/26 07:17:33 - mmengine - INFO - Epoch(train) [230][15/63] lr: 1.0000e-05 eta: 14:04:05 time: 0.8504 data_time: 0.0263 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0186 loss: 0.0457 2022/08/26 07:17:38 - mmengine - INFO - Epoch(train) [230][20/63] lr: 1.0000e-05 eta: 14:03:22 time: 0.8542 data_time: 0.0224 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0198 loss: 0.0465 2022/08/26 07:17:42 - mmengine - INFO - Epoch(train) [230][25/63] lr: 1.0000e-05 eta: 14:03:22 time: 0.8696 data_time: 0.0374 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0177 loss: 0.0402 2022/08/26 07:17:46 - mmengine - INFO - Epoch(train) [230][30/63] lr: 1.0000e-05 eta: 14:02:39 time: 0.8487 data_time: 0.0274 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0176 loss: 0.0422 2022/08/26 07:17:51 - mmengine - INFO - Epoch(train) [230][35/63] lr: 1.0000e-05 eta: 14:02:39 time: 0.8401 data_time: 0.0240 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0180 loss: 0.0421 2022/08/26 07:17:55 - mmengine - INFO - Epoch(train) [230][40/63] lr: 1.0000e-05 eta: 14:01:56 time: 0.8491 data_time: 0.0302 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0175 loss: 0.0409 2022/08/26 07:17:59 - mmengine - INFO - Epoch(train) [230][45/63] lr: 1.0000e-05 eta: 14:01:56 time: 0.8497 data_time: 0.0262 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0207 loss: 0.0540 2022/08/26 07:18:03 - mmengine - INFO - Epoch(train) [230][50/63] lr: 1.0000e-05 eta: 14:01:13 time: 0.8593 data_time: 0.0360 memory: 25127 loss_text: 0.0355 loss_kernel: 0.0218 loss: 0.0574 2022/08/26 07:18:08 - mmengine - INFO - Epoch(train) [230][55/63] lr: 1.0000e-05 eta: 14:01:13 time: 0.8507 data_time: 0.0335 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0194 loss: 0.0489 2022/08/26 07:18:12 - mmengine - INFO - Epoch(train) [230][60/63] lr: 1.0000e-05 eta: 14:00:30 time: 0.8562 data_time: 0.0196 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0187 loss: 0.0454 2022/08/26 07:18:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:19:41 - mmengine - INFO - Epoch(train) [231][5/63] lr: 1.0000e-05 eta: 14:00:30 time: 9.0995 data_time: 8.3013 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0175 loss: 0.0409 2022/08/26 07:19:46 - mmengine - INFO - Epoch(train) [231][10/63] lr: 1.0000e-05 eta: 14:01:44 time: 9.1324 data_time: 8.3157 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0170 loss: 0.0398 2022/08/26 07:19:50 - mmengine - INFO - Epoch(train) [231][15/63] lr: 1.0000e-05 eta: 14:01:44 time: 0.8735 data_time: 0.0370 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0216 loss: 0.0535 2022/08/26 07:19:54 - mmengine - INFO - Epoch(train) [231][20/63] lr: 1.0000e-05 eta: 14:01:01 time: 0.8755 data_time: 0.0325 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0222 loss: 0.0573 2022/08/26 07:19:59 - mmengine - INFO - Epoch(train) [231][25/63] lr: 1.0000e-05 eta: 14:01:01 time: 0.8536 data_time: 0.0358 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0208 loss: 0.0526 2022/08/26 07:20:03 - mmengine - INFO - Epoch(train) [231][30/63] lr: 1.0000e-05 eta: 14:00:19 time: 0.8542 data_time: 0.0316 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0187 loss: 0.0457 2022/08/26 07:20:07 - mmengine - INFO - Epoch(train) [231][35/63] lr: 1.0000e-05 eta: 14:00:19 time: 0.8405 data_time: 0.0274 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0162 loss: 0.0385 2022/08/26 07:20:12 - mmengine - INFO - Epoch(train) [231][40/63] lr: 1.0000e-05 eta: 13:59:36 time: 0.8725 data_time: 0.0322 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0198 loss: 0.0475 2022/08/26 07:20:16 - mmengine - INFO - Epoch(train) [231][45/63] lr: 1.0000e-05 eta: 13:59:36 time: 0.8805 data_time: 0.0321 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0203 loss: 0.0487 2022/08/26 07:20:20 - mmengine - INFO - Epoch(train) [231][50/63] lr: 1.0000e-05 eta: 13:58:54 time: 0.8736 data_time: 0.0278 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0169 loss: 0.0401 2022/08/26 07:20:25 - mmengine - INFO - Epoch(train) [231][55/63] lr: 1.0000e-05 eta: 13:58:54 time: 0.8800 data_time: 0.0301 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0169 loss: 0.0413 2022/08/26 07:20:29 - mmengine - INFO - Epoch(train) [231][60/63] lr: 1.0000e-05 eta: 13:58:11 time: 0.8573 data_time: 0.0266 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0197 loss: 0.0492 2022/08/26 07:20:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:21:58 - mmengine - INFO - Epoch(train) [232][5/63] lr: 1.0000e-05 eta: 13:58:11 time: 9.1089 data_time: 8.3191 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0199 loss: 0.0463 2022/08/26 07:22:03 - mmengine - INFO - Epoch(train) [232][10/63] lr: 1.0000e-05 eta: 13:59:25 time: 9.1532 data_time: 8.3356 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0193 loss: 0.0451 2022/08/26 07:22:07 - mmengine - INFO - Epoch(train) [232][15/63] lr: 1.0000e-05 eta: 13:59:25 time: 0.8408 data_time: 0.0318 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0164 loss: 0.0382 2022/08/26 07:22:12 - mmengine - INFO - Epoch(train) [232][20/63] lr: 1.0000e-05 eta: 13:58:43 time: 0.9023 data_time: 0.0246 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0181 loss: 0.0430 2022/08/26 07:22:16 - mmengine - INFO - Epoch(train) [232][25/63] lr: 1.0000e-05 eta: 13:58:43 time: 0.9077 data_time: 0.0313 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0192 loss: 0.0451 2022/08/26 07:22:20 - mmengine - INFO - Epoch(train) [232][30/63] lr: 1.0000e-05 eta: 13:58:00 time: 0.8542 data_time: 0.0309 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0176 loss: 0.0404 2022/08/26 07:22:24 - mmengine - INFO - Epoch(train) [232][35/63] lr: 1.0000e-05 eta: 13:58:00 time: 0.8464 data_time: 0.0305 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0167 loss: 0.0405 2022/08/26 07:22:29 - mmengine - INFO - Epoch(train) [232][40/63] lr: 1.0000e-05 eta: 13:57:17 time: 0.8361 data_time: 0.0328 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0161 loss: 0.0399 2022/08/26 07:22:34 - mmengine - INFO - Epoch(train) [232][45/63] lr: 1.0000e-05 eta: 13:57:17 time: 0.9256 data_time: 0.0330 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0184 loss: 0.0451 2022/08/26 07:22:38 - mmengine - INFO - Epoch(train) [232][50/63] lr: 1.0000e-05 eta: 13:56:36 time: 0.9203 data_time: 0.0243 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0193 loss: 0.0465 2022/08/26 07:22:42 - mmengine - INFO - Epoch(train) [232][55/63] lr: 1.0000e-05 eta: 13:56:36 time: 0.8542 data_time: 0.0227 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0191 loss: 0.0432 2022/08/26 07:22:46 - mmengine - INFO - Epoch(train) [232][60/63] lr: 1.0000e-05 eta: 13:55:54 time: 0.8570 data_time: 0.0215 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0188 loss: 0.0441 2022/08/26 07:22:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:24:16 - mmengine - INFO - Epoch(train) [233][5/63] lr: 1.0000e-05 eta: 13:55:54 time: 9.1498 data_time: 8.3549 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0203 loss: 0.0533 2022/08/26 07:24:21 - mmengine - INFO - Epoch(train) [233][10/63] lr: 1.0000e-05 eta: 13:57:07 time: 9.2161 data_time: 8.3740 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0183 loss: 0.0450 2022/08/26 07:24:25 - mmengine - INFO - Epoch(train) [233][15/63] lr: 1.0000e-05 eta: 13:57:07 time: 0.8580 data_time: 0.0308 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0177 loss: 0.0406 2022/08/26 07:24:29 - mmengine - INFO - Epoch(train) [233][20/63] lr: 1.0000e-05 eta: 13:56:25 time: 0.8604 data_time: 0.0228 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0220 loss: 0.0528 2022/08/26 07:24:34 - mmengine - INFO - Epoch(train) [233][25/63] lr: 1.0000e-05 eta: 13:56:25 time: 0.8617 data_time: 0.0303 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0210 loss: 0.0510 2022/08/26 07:24:38 - mmengine - INFO - Epoch(train) [233][30/63] lr: 1.0000e-05 eta: 13:55:42 time: 0.8466 data_time: 0.0267 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0200 loss: 0.0494 2022/08/26 07:24:42 - mmengine - INFO - Epoch(train) [233][35/63] lr: 1.0000e-05 eta: 13:55:42 time: 0.8546 data_time: 0.0343 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0230 loss: 0.0582 2022/08/26 07:24:46 - mmengine - INFO - Epoch(train) [233][40/63] lr: 1.0000e-05 eta: 13:55:00 time: 0.8614 data_time: 0.0338 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0188 loss: 0.0463 2022/08/26 07:24:51 - mmengine - INFO - Epoch(train) [233][45/63] lr: 1.0000e-05 eta: 13:55:00 time: 0.8748 data_time: 0.0347 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0170 loss: 0.0411 2022/08/26 07:24:55 - mmengine - INFO - Epoch(train) [233][50/63] lr: 1.0000e-05 eta: 13:54:18 time: 0.8788 data_time: 0.0382 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0177 loss: 0.0426 2022/08/26 07:24:59 - mmengine - INFO - Epoch(train) [233][55/63] lr: 1.0000e-05 eta: 13:54:18 time: 0.8403 data_time: 0.0240 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0169 loss: 0.0406 2022/08/26 07:25:04 - mmengine - INFO - Epoch(train) [233][60/63] lr: 1.0000e-05 eta: 13:53:35 time: 0.8328 data_time: 0.0175 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0177 loss: 0.0410 2022/08/26 07:25:06 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:26:34 - mmengine - INFO - Epoch(train) [234][5/63] lr: 1.0000e-05 eta: 13:53:35 time: 9.1665 data_time: 8.3537 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0204 loss: 0.0494 2022/08/26 07:26:38 - mmengine - INFO - Epoch(train) [234][10/63] lr: 1.0000e-05 eta: 13:54:48 time: 9.2088 data_time: 8.3653 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0195 loss: 0.0503 2022/08/26 07:26:42 - mmengine - INFO - Epoch(train) [234][15/63] lr: 1.0000e-05 eta: 13:54:48 time: 0.8727 data_time: 0.0350 memory: 25127 loss_text: 0.0457 loss_kernel: 0.0262 loss: 0.0718 2022/08/26 07:26:47 - mmengine - INFO - Epoch(train) [234][20/63] lr: 1.0000e-05 eta: 13:54:06 time: 0.8588 data_time: 0.0277 memory: 25127 loss_text: 0.0438 loss_kernel: 0.0254 loss: 0.0692 2022/08/26 07:26:51 - mmengine - INFO - Epoch(train) [234][25/63] lr: 1.0000e-05 eta: 13:54:06 time: 0.8487 data_time: 0.0269 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0187 loss: 0.0468 2022/08/26 07:26:55 - mmengine - INFO - Epoch(train) [234][30/63] lr: 1.0000e-05 eta: 13:53:23 time: 0.8621 data_time: 0.0263 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0202 loss: 0.0500 2022/08/26 07:26:59 - mmengine - INFO - Epoch(train) [234][35/63] lr: 1.0000e-05 eta: 13:53:23 time: 0.8435 data_time: 0.0232 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0186 loss: 0.0444 2022/08/26 07:27:04 - mmengine - INFO - Epoch(train) [234][40/63] lr: 1.0000e-05 eta: 13:52:41 time: 0.8445 data_time: 0.0277 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0168 loss: 0.0398 2022/08/26 07:27:08 - mmengine - INFO - Epoch(train) [234][45/63] lr: 1.0000e-05 eta: 13:52:41 time: 0.8426 data_time: 0.0318 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0174 loss: 0.0434 2022/08/26 07:27:12 - mmengine - INFO - Epoch(train) [234][50/63] lr: 1.0000e-05 eta: 13:51:59 time: 0.8386 data_time: 0.0304 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0178 loss: 0.0442 2022/08/26 07:27:16 - mmengine - INFO - Epoch(train) [234][55/63] lr: 1.0000e-05 eta: 13:51:59 time: 0.8470 data_time: 0.0294 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0169 loss: 0.0400 2022/08/26 07:27:20 - mmengine - INFO - Epoch(train) [234][60/63] lr: 1.0000e-05 eta: 13:51:16 time: 0.8380 data_time: 0.0270 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0188 loss: 0.0471 2022/08/26 07:27:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:28:51 - mmengine - INFO - Epoch(train) [235][5/63] lr: 1.0000e-05 eta: 13:51:16 time: 9.1750 data_time: 8.4006 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0174 loss: 0.0398 2022/08/26 07:28:55 - mmengine - INFO - Epoch(train) [235][10/63] lr: 1.0000e-05 eta: 13:52:28 time: 9.2229 data_time: 8.4096 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0176 loss: 0.0413 2022/08/26 07:28:59 - mmengine - INFO - Epoch(train) [235][15/63] lr: 1.0000e-05 eta: 13:52:28 time: 0.8389 data_time: 0.0500 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0192 loss: 0.0482 2022/08/26 07:29:04 - mmengine - INFO - Epoch(train) [235][20/63] lr: 1.0000e-05 eta: 13:51:47 time: 0.9341 data_time: 0.0437 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0205 loss: 0.0527 2022/08/26 07:29:08 - mmengine - INFO - Epoch(train) [235][25/63] lr: 1.0000e-05 eta: 13:51:47 time: 0.9322 data_time: 0.0308 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0191 loss: 0.0466 2022/08/26 07:29:13 - mmengine - INFO - Epoch(train) [235][30/63] lr: 1.0000e-05 eta: 13:51:05 time: 0.8499 data_time: 0.0296 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0182 loss: 0.0445 2022/08/26 07:29:17 - mmengine - INFO - Epoch(train) [235][35/63] lr: 1.0000e-05 eta: 13:51:05 time: 0.8436 data_time: 0.0257 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0171 loss: 0.0439 2022/08/26 07:29:21 - mmengine - INFO - Epoch(train) [235][40/63] lr: 1.0000e-05 eta: 13:50:23 time: 0.8705 data_time: 0.0246 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0184 loss: 0.0470 2022/08/26 07:29:26 - mmengine - INFO - Epoch(train) [235][45/63] lr: 1.0000e-05 eta: 13:50:23 time: 0.8891 data_time: 0.0344 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0199 loss: 0.0480 2022/08/26 07:29:30 - mmengine - INFO - Epoch(train) [235][50/63] lr: 1.0000e-05 eta: 13:49:41 time: 0.8377 data_time: 0.0291 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0174 loss: 0.0404 2022/08/26 07:29:34 - mmengine - INFO - Epoch(train) [235][55/63] lr: 1.0000e-05 eta: 13:49:41 time: 0.8209 data_time: 0.0244 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0161 loss: 0.0379 2022/08/26 07:29:38 - mmengine - INFO - Epoch(train) [235][60/63] lr: 1.0000e-05 eta: 13:48:59 time: 0.8350 data_time: 0.0295 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0163 loss: 0.0373 2022/08/26 07:29:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:31:10 - mmengine - INFO - Epoch(train) [236][5/63] lr: 1.0000e-05 eta: 13:48:59 time: 9.3074 data_time: 8.5070 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0170 loss: 0.0402 2022/08/26 07:31:14 - mmengine - INFO - Epoch(train) [236][10/63] lr: 1.0000e-05 eta: 13:50:12 time: 9.3445 data_time: 8.5109 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0177 loss: 0.0420 2022/08/26 07:31:18 - mmengine - INFO - Epoch(train) [236][15/63] lr: 1.0000e-05 eta: 13:50:12 time: 0.8501 data_time: 0.0321 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0175 loss: 0.0405 2022/08/26 07:31:22 - mmengine - INFO - Epoch(train) [236][20/63] lr: 1.0000e-05 eta: 13:49:30 time: 0.8573 data_time: 0.0358 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0169 loss: 0.0387 2022/08/26 07:31:27 - mmengine - INFO - Epoch(train) [236][25/63] lr: 1.0000e-05 eta: 13:49:30 time: 0.8586 data_time: 0.0305 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0170 loss: 0.0406 2022/08/26 07:31:31 - mmengine - INFO - Epoch(train) [236][30/63] lr: 1.0000e-05 eta: 13:48:48 time: 0.8599 data_time: 0.0266 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0178 loss: 0.0425 2022/08/26 07:31:35 - mmengine - INFO - Epoch(train) [236][35/63] lr: 1.0000e-05 eta: 13:48:48 time: 0.8756 data_time: 0.0355 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0184 loss: 0.0425 2022/08/26 07:31:40 - mmengine - INFO - Epoch(train) [236][40/63] lr: 1.0000e-05 eta: 13:48:06 time: 0.8594 data_time: 0.0299 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0192 loss: 0.0464 2022/08/26 07:31:44 - mmengine - INFO - Epoch(train) [236][45/63] lr: 1.0000e-05 eta: 13:48:06 time: 0.8644 data_time: 0.0256 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0184 loss: 0.0453 2022/08/26 07:31:48 - mmengine - INFO - Epoch(train) [236][50/63] lr: 1.0000e-05 eta: 13:47:24 time: 0.8563 data_time: 0.0266 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0177 loss: 0.0416 2022/08/26 07:31:52 - mmengine - INFO - Epoch(train) [236][55/63] lr: 1.0000e-05 eta: 13:47:24 time: 0.8184 data_time: 0.0234 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0191 loss: 0.0455 2022/08/26 07:31:56 - mmengine - INFO - Epoch(train) [236][60/63] lr: 1.0000e-05 eta: 13:46:42 time: 0.8190 data_time: 0.0241 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0181 loss: 0.0443 2022/08/26 07:31:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:33:27 - mmengine - INFO - Epoch(train) [237][5/63] lr: 1.0000e-05 eta: 13:46:42 time: 9.2167 data_time: 8.4374 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0178 loss: 0.0424 2022/08/26 07:33:31 - mmengine - INFO - Epoch(train) [237][10/63] lr: 1.0000e-05 eta: 13:47:54 time: 9.2963 data_time: 8.4568 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0193 loss: 0.0440 2022/08/26 07:33:36 - mmengine - INFO - Epoch(train) [237][15/63] lr: 1.0000e-05 eta: 13:47:54 time: 0.8768 data_time: 0.0341 memory: 25127 loss_text: 0.0326 loss_kernel: 0.0226 loss: 0.0553 2022/08/26 07:33:40 - mmengine - INFO - Epoch(train) [237][20/63] lr: 1.0000e-05 eta: 13:47:12 time: 0.8605 data_time: 0.0220 memory: 25127 loss_text: 0.0366 loss_kernel: 0.0235 loss: 0.0600 2022/08/26 07:33:44 - mmengine - INFO - Epoch(train) [237][25/63] lr: 1.0000e-05 eta: 13:47:12 time: 0.8681 data_time: 0.0454 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0200 loss: 0.0474 2022/08/26 07:33:49 - mmengine - INFO - Epoch(train) [237][30/63] lr: 1.0000e-05 eta: 13:46:30 time: 0.8536 data_time: 0.0355 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0165 loss: 0.0381 2022/08/26 07:33:53 - mmengine - INFO - Epoch(train) [237][35/63] lr: 1.0000e-05 eta: 13:46:30 time: 0.8378 data_time: 0.0228 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0154 loss: 0.0362 2022/08/26 07:33:57 - mmengine - INFO - Epoch(train) [237][40/63] lr: 1.0000e-05 eta: 13:45:49 time: 0.8606 data_time: 0.0325 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0175 loss: 0.0430 2022/08/26 07:34:01 - mmengine - INFO - Epoch(train) [237][45/63] lr: 1.0000e-05 eta: 13:45:49 time: 0.8520 data_time: 0.0288 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0179 loss: 0.0437 2022/08/26 07:34:06 - mmengine - INFO - Epoch(train) [237][50/63] lr: 1.0000e-05 eta: 13:45:07 time: 0.8601 data_time: 0.0351 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0159 loss: 0.0390 2022/08/26 07:34:10 - mmengine - INFO - Epoch(train) [237][55/63] lr: 1.0000e-05 eta: 13:45:07 time: 0.8634 data_time: 0.0361 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0178 loss: 0.0426 2022/08/26 07:34:14 - mmengine - INFO - Epoch(train) [237][60/63] lr: 1.0000e-05 eta: 13:44:25 time: 0.8464 data_time: 0.0222 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0182 loss: 0.0419 2022/08/26 07:34:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:35:44 - mmengine - INFO - Epoch(train) [238][5/63] lr: 1.0000e-05 eta: 13:44:25 time: 9.1655 data_time: 8.3328 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0185 loss: 0.0460 2022/08/26 07:35:49 - mmengine - INFO - Epoch(train) [238][10/63] lr: 1.0000e-05 eta: 13:45:34 time: 9.1808 data_time: 8.3590 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0197 loss: 0.0498 2022/08/26 07:35:53 - mmengine - INFO - Epoch(train) [238][15/63] lr: 1.0000e-05 eta: 13:45:34 time: 0.8963 data_time: 0.0411 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0204 loss: 0.0503 2022/08/26 07:35:57 - mmengine - INFO - Epoch(train) [238][20/63] lr: 1.0000e-05 eta: 13:44:53 time: 0.8708 data_time: 0.0251 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0169 loss: 0.0381 2022/08/26 07:36:02 - mmengine - INFO - Epoch(train) [238][25/63] lr: 1.0000e-05 eta: 13:44:53 time: 0.8397 data_time: 0.0338 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0163 loss: 0.0382 2022/08/26 07:36:06 - mmengine - INFO - Epoch(train) [238][30/63] lr: 1.0000e-05 eta: 13:44:12 time: 0.8871 data_time: 0.0314 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0164 loss: 0.0388 2022/08/26 07:36:11 - mmengine - INFO - Epoch(train) [238][35/63] lr: 1.0000e-05 eta: 13:44:12 time: 0.9048 data_time: 0.0350 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0174 loss: 0.0398 2022/08/26 07:36:15 - mmengine - INFO - Epoch(train) [238][40/63] lr: 1.0000e-05 eta: 13:43:31 time: 0.8822 data_time: 0.0282 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0172 loss: 0.0391 2022/08/26 07:36:20 - mmengine - INFO - Epoch(train) [238][45/63] lr: 1.0000e-05 eta: 13:43:31 time: 0.8880 data_time: 0.0272 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0172 loss: 0.0397 2022/08/26 07:36:24 - mmengine - INFO - Epoch(train) [238][50/63] lr: 1.0000e-05 eta: 13:42:49 time: 0.8880 data_time: 0.0388 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0195 loss: 0.0470 2022/08/26 07:36:28 - mmengine - INFO - Epoch(train) [238][55/63] lr: 1.0000e-05 eta: 13:42:49 time: 0.8791 data_time: 0.0279 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0200 loss: 0.0509 2022/08/26 07:36:33 - mmengine - INFO - Epoch(train) [238][60/63] lr: 1.0000e-05 eta: 13:42:08 time: 0.8733 data_time: 0.0189 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0193 loss: 0.0456 2022/08/26 07:36:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:38:03 - mmengine - INFO - Epoch(train) [239][5/63] lr: 1.0000e-05 eta: 13:42:08 time: 9.1953 data_time: 8.4034 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0219 loss: 0.0526 2022/08/26 07:38:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:38:08 - mmengine - INFO - Epoch(train) [239][10/63] lr: 1.0000e-05 eta: 13:43:18 time: 9.2616 data_time: 8.4205 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0181 loss: 0.0420 2022/08/26 07:38:12 - mmengine - INFO - Epoch(train) [239][15/63] lr: 1.0000e-05 eta: 13:43:18 time: 0.9209 data_time: 0.0368 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0186 loss: 0.0432 2022/08/26 07:38:17 - mmengine - INFO - Epoch(train) [239][20/63] lr: 1.0000e-05 eta: 13:42:37 time: 0.9063 data_time: 0.0268 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0180 loss: 0.0410 2022/08/26 07:38:21 - mmengine - INFO - Epoch(train) [239][25/63] lr: 1.0000e-05 eta: 13:42:37 time: 0.8532 data_time: 0.0354 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0174 loss: 0.0394 2022/08/26 07:38:25 - mmengine - INFO - Epoch(train) [239][30/63] lr: 1.0000e-05 eta: 13:41:56 time: 0.8497 data_time: 0.0305 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0168 loss: 0.0379 2022/08/26 07:38:29 - mmengine - INFO - Epoch(train) [239][35/63] lr: 1.0000e-05 eta: 13:41:56 time: 0.8469 data_time: 0.0226 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0166 loss: 0.0386 2022/08/26 07:38:34 - mmengine - INFO - Epoch(train) [239][40/63] lr: 1.0000e-05 eta: 13:41:14 time: 0.8623 data_time: 0.0252 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0186 loss: 0.0444 2022/08/26 07:38:38 - mmengine - INFO - Epoch(train) [239][45/63] lr: 1.0000e-05 eta: 13:41:14 time: 0.8590 data_time: 0.0303 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0186 loss: 0.0435 2022/08/26 07:38:43 - mmengine - INFO - Epoch(train) [239][50/63] lr: 1.0000e-05 eta: 13:40:34 time: 0.9074 data_time: 0.0328 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0217 loss: 0.0533 2022/08/26 07:38:47 - mmengine - INFO - Epoch(train) [239][55/63] lr: 1.0000e-05 eta: 13:40:34 time: 0.9127 data_time: 0.0296 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0214 loss: 0.0534 2022/08/26 07:38:51 - mmengine - INFO - Epoch(train) [239][60/63] lr: 1.0000e-05 eta: 13:39:52 time: 0.8411 data_time: 0.0252 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0182 loss: 0.0448 2022/08/26 07:38:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:40:24 - mmengine - INFO - Epoch(train) [240][5/63] lr: 1.0000e-05 eta: 13:39:52 time: 9.4237 data_time: 8.5891 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0213 loss: 0.0559 2022/08/26 07:40:29 - mmengine - INFO - Epoch(train) [240][10/63] lr: 1.0000e-05 eta: 13:41:05 time: 9.4873 data_time: 8.6282 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0225 loss: 0.0562 2022/08/26 07:40:33 - mmengine - INFO - Epoch(train) [240][15/63] lr: 1.0000e-05 eta: 13:41:05 time: 0.8813 data_time: 0.0508 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0207 loss: 0.0509 2022/08/26 07:40:37 - mmengine - INFO - Epoch(train) [240][20/63] lr: 1.0000e-05 eta: 13:40:23 time: 0.8430 data_time: 0.0231 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0204 loss: 0.0517 2022/08/26 07:40:41 - mmengine - INFO - Epoch(train) [240][25/63] lr: 1.0000e-05 eta: 13:40:23 time: 0.8696 data_time: 0.0344 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0178 loss: 0.0438 2022/08/26 07:40:46 - mmengine - INFO - Epoch(train) [240][30/63] lr: 1.0000e-05 eta: 13:39:42 time: 0.8722 data_time: 0.0281 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0157 loss: 0.0363 2022/08/26 07:40:50 - mmengine - INFO - Epoch(train) [240][35/63] lr: 1.0000e-05 eta: 13:39:42 time: 0.8606 data_time: 0.0278 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0172 loss: 0.0396 2022/08/26 07:40:54 - mmengine - INFO - Epoch(train) [240][40/63] lr: 1.0000e-05 eta: 13:39:01 time: 0.8579 data_time: 0.0283 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0193 loss: 0.0471 2022/08/26 07:40:59 - mmengine - INFO - Epoch(train) [240][45/63] lr: 1.0000e-05 eta: 13:39:01 time: 0.8580 data_time: 0.0281 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0185 loss: 0.0454 2022/08/26 07:41:03 - mmengine - INFO - Epoch(train) [240][50/63] lr: 1.0000e-05 eta: 13:38:19 time: 0.8670 data_time: 0.0282 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0165 loss: 0.0383 2022/08/26 07:41:07 - mmengine - INFO - Epoch(train) [240][55/63] lr: 1.0000e-05 eta: 13:38:19 time: 0.8704 data_time: 0.0290 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0167 loss: 0.0385 2022/08/26 07:41:12 - mmengine - INFO - Epoch(train) [240][60/63] lr: 1.0000e-05 eta: 13:37:38 time: 0.8594 data_time: 0.0252 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0172 loss: 0.0388 2022/08/26 07:41:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:41:14 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/26 07:41:44 - mmengine - INFO - Epoch(val) [240][5/500] eta: 13:37:38 time: 2.4947 data_time: 2.3570 memory: 25127 2022/08/26 07:41:44 - mmengine - INFO - Epoch(val) [240][10/500] eta: 0:19:51 time: 2.4312 data_time: 2.3555 memory: 2076 2022/08/26 07:41:44 - mmengine - INFO - Epoch(val) [240][15/500] eta: 0:19:51 time: 0.0588 data_time: 0.0024 memory: 2001 2022/08/26 07:41:44 - mmengine - INFO - Epoch(val) [240][20/500] eta: 0:00:22 time: 0.0473 data_time: 0.0018 memory: 1700 2022/08/26 07:41:45 - mmengine - INFO - Epoch(val) [240][25/500] eta: 0:00:22 time: 0.0439 data_time: 0.0021 memory: 1700 2022/08/26 07:41:45 - mmengine - INFO - Epoch(val) [240][30/500] eta: 0:00:19 time: 0.0421 data_time: 0.0021 memory: 1700 2022/08/26 07:41:45 - mmengine - INFO - Epoch(val) [240][35/500] eta: 0:00:19 time: 0.0416 data_time: 0.0018 memory: 1700 2022/08/26 07:41:45 - mmengine - INFO - Epoch(val) [240][40/500] eta: 0:00:20 time: 0.0440 data_time: 0.0018 memory: 1737 2022/08/26 07:41:45 - mmengine - INFO - Epoch(val) [240][45/500] eta: 0:00:20 time: 0.0410 data_time: 0.0018 memory: 2076 2022/08/26 07:41:46 - mmengine - INFO - Epoch(val) [240][50/500] eta: 0:00:18 time: 0.0412 data_time: 0.0018 memory: 1813 2022/08/26 07:41:46 - mmengine - INFO - Epoch(val) [240][55/500] eta: 0:00:18 time: 0.0429 data_time: 0.0017 memory: 1775 2022/08/26 07:41:46 - mmengine - INFO - Epoch(val) [240][60/500] eta: 0:00:19 time: 0.0450 data_time: 0.0016 memory: 1700 2022/08/26 07:41:46 - mmengine - INFO - Epoch(val) [240][65/500] eta: 0:00:19 time: 0.0516 data_time: 0.0017 memory: 1813 2022/08/26 07:41:47 - mmengine - INFO - Epoch(val) [240][70/500] eta: 0:00:20 time: 0.0473 data_time: 0.0018 memory: 2076 2022/08/26 07:41:47 - mmengine - INFO - Epoch(val) [240][75/500] eta: 0:00:20 time: 0.0441 data_time: 0.0018 memory: 1813 2022/08/26 07:41:47 - mmengine - INFO - Epoch(val) [240][80/500] eta: 0:00:18 time: 0.0437 data_time: 0.0017 memory: 1700 2022/08/26 07:41:47 - mmengine - INFO - Epoch(val) [240][85/500] eta: 0:00:18 time: 0.0398 data_time: 0.0018 memory: 1700 2022/08/26 07:41:47 - mmengine - INFO - Epoch(val) [240][90/500] eta: 0:00:17 time: 0.0438 data_time: 0.0018 memory: 2076 2022/08/26 07:41:48 - mmengine - INFO - Epoch(val) [240][95/500] eta: 0:00:17 time: 0.0450 data_time: 0.0018 memory: 1737 2022/08/26 07:41:48 - mmengine - INFO - Epoch(val) [240][100/500] eta: 0:00:17 time: 0.0430 data_time: 0.0017 memory: 2076 2022/08/26 07:41:48 - mmengine - INFO - Epoch(val) [240][105/500] eta: 0:00:17 time: 0.0440 data_time: 0.0018 memory: 1700 2022/08/26 07:41:48 - mmengine - INFO - Epoch(val) [240][110/500] eta: 0:00:18 time: 0.0484 data_time: 0.0019 memory: 2076 2022/08/26 07:41:49 - mmengine - INFO - Epoch(val) [240][115/500] eta: 0:00:18 time: 0.0454 data_time: 0.0018 memory: 1700 2022/08/26 07:41:49 - mmengine - INFO - Epoch(val) [240][120/500] eta: 0:00:18 time: 0.0491 data_time: 0.0018 memory: 1700 2022/08/26 07:41:49 - mmengine - INFO - Epoch(val) [240][125/500] eta: 0:00:18 time: 0.0633 data_time: 0.0019 memory: 2076 2022/08/26 07:41:49 - mmengine - INFO - Epoch(val) [240][130/500] eta: 0:00:19 time: 0.0525 data_time: 0.0018 memory: 1700 2022/08/26 07:41:50 - mmengine - INFO - Epoch(val) [240][135/500] eta: 0:00:19 time: 0.0404 data_time: 0.0017 memory: 1850 2022/08/26 07:41:50 - mmengine - INFO - Epoch(val) [240][140/500] eta: 0:00:16 time: 0.0446 data_time: 0.0017 memory: 1700 2022/08/26 07:41:50 - mmengine - INFO - Epoch(val) [240][145/500] eta: 0:00:16 time: 0.0423 data_time: 0.0018 memory: 2039 2022/08/26 07:41:50 - mmengine - INFO - Epoch(val) [240][150/500] eta: 0:00:14 time: 0.0404 data_time: 0.0018 memory: 1700 2022/08/26 07:41:50 - mmengine - INFO - Epoch(val) [240][155/500] eta: 0:00:14 time: 0.0437 data_time: 0.0017 memory: 1963 2022/08/26 07:41:51 - mmengine - INFO - Epoch(val) [240][160/500] eta: 0:00:15 time: 0.0456 data_time: 0.0017 memory: 2076 2022/08/26 07:41:51 - mmengine - INFO - Epoch(val) [240][165/500] eta: 0:00:15 time: 0.0439 data_time: 0.0017 memory: 1775 2022/08/26 07:41:51 - mmengine - INFO - Epoch(val) [240][170/500] eta: 0:00:14 time: 0.0447 data_time: 0.0018 memory: 1963 2022/08/26 07:41:51 - mmengine - INFO - Epoch(val) [240][175/500] eta: 0:00:14 time: 0.0445 data_time: 0.0017 memory: 2076 2022/08/26 07:41:51 - mmengine - INFO - Epoch(val) [240][180/500] eta: 0:00:12 time: 0.0403 data_time: 0.0017 memory: 2076 2022/08/26 07:41:52 - mmengine - INFO - Epoch(val) [240][185/500] eta: 0:00:12 time: 0.0462 data_time: 0.0042 memory: 1700 2022/08/26 07:41:52 - mmengine - INFO - Epoch(val) [240][190/500] eta: 0:00:14 time: 0.0479 data_time: 0.0043 memory: 1813 2022/08/26 07:41:52 - mmengine - INFO - Epoch(val) [240][195/500] eta: 0:00:14 time: 0.0390 data_time: 0.0018 memory: 1775 2022/08/26 07:41:52 - mmengine - INFO - Epoch(val) [240][200/500] eta: 0:00:11 time: 0.0379 data_time: 0.0018 memory: 1775 2022/08/26 07:41:53 - mmengine - INFO - Epoch(val) [240][205/500] eta: 0:00:11 time: 0.0395 data_time: 0.0017 memory: 1700 2022/08/26 07:41:53 - mmengine - INFO - Epoch(val) [240][210/500] eta: 0:00:12 time: 0.0417 data_time: 0.0018 memory: 2076 2022/08/26 07:41:53 - mmengine - INFO - Epoch(val) [240][215/500] eta: 0:00:12 time: 0.0419 data_time: 0.0018 memory: 1700 2022/08/26 07:41:53 - mmengine - INFO - Epoch(val) [240][220/500] eta: 0:00:10 time: 0.0388 data_time: 0.0017 memory: 1850 2022/08/26 07:41:53 - mmengine - INFO - Epoch(val) [240][225/500] eta: 0:00:10 time: 0.0410 data_time: 0.0018 memory: 2076 2022/08/26 07:41:54 - mmengine - INFO - Epoch(val) [240][230/500] eta: 0:00:15 time: 0.0581 data_time: 0.0019 memory: 1700 2022/08/26 07:41:54 - mmengine - INFO - Epoch(val) [240][235/500] eta: 0:00:15 time: 0.0582 data_time: 0.0018 memory: 2076 2022/08/26 07:41:54 - mmengine - INFO - Epoch(val) [240][240/500] eta: 0:00:12 time: 0.0469 data_time: 0.0017 memory: 2076 2022/08/26 07:41:54 - mmengine - INFO - Epoch(val) [240][245/500] eta: 0:00:12 time: 0.0449 data_time: 0.0018 memory: 2076 2022/08/26 07:41:55 - mmengine - INFO - Epoch(val) [240][250/500] eta: 0:00:09 time: 0.0396 data_time: 0.0018 memory: 1700 2022/08/26 07:41:55 - mmengine - INFO - Epoch(val) [240][255/500] eta: 0:00:09 time: 0.0658 data_time: 0.0017 memory: 1737 2022/08/26 07:41:55 - mmengine - INFO - Epoch(val) [240][260/500] eta: 0:00:15 time: 0.0651 data_time: 0.0018 memory: 1700 2022/08/26 07:41:55 - mmengine - INFO - Epoch(val) [240][265/500] eta: 0:00:15 time: 0.0408 data_time: 0.0018 memory: 2001 2022/08/26 07:41:56 - mmengine - INFO - Epoch(val) [240][270/500] eta: 0:00:09 time: 0.0426 data_time: 0.0018 memory: 1926 2022/08/26 07:41:56 - mmengine - INFO - Epoch(val) [240][275/500] eta: 0:00:09 time: 0.0457 data_time: 0.0017 memory: 2076 2022/08/26 07:41:56 - mmengine - INFO - Epoch(val) [240][280/500] eta: 0:00:09 time: 0.0426 data_time: 0.0017 memory: 2001 2022/08/26 07:41:56 - mmengine - INFO - Epoch(val) [240][285/500] eta: 0:00:09 time: 0.0377 data_time: 0.0016 memory: 1700 2022/08/26 07:41:57 - mmengine - INFO - Epoch(val) [240][290/500] eta: 0:00:09 time: 0.0444 data_time: 0.0017 memory: 2076 2022/08/26 07:41:57 - mmengine - INFO - Epoch(val) [240][295/500] eta: 0:00:09 time: 0.0441 data_time: 0.0018 memory: 1813 2022/08/26 07:41:57 - mmengine - INFO - Epoch(val) [240][300/500] eta: 0:00:08 time: 0.0411 data_time: 0.0018 memory: 1737 2022/08/26 07:41:57 - mmengine - INFO - Epoch(val) [240][305/500] eta: 0:00:08 time: 0.0366 data_time: 0.0017 memory: 1700 2022/08/26 07:41:57 - mmengine - INFO - Epoch(val) [240][310/500] eta: 0:00:06 time: 0.0355 data_time: 0.0016 memory: 1775 2022/08/26 07:41:58 - mmengine - INFO - Epoch(val) [240][315/500] eta: 0:00:06 time: 0.0441 data_time: 0.0017 memory: 2001 2022/08/26 07:41:58 - mmengine - INFO - Epoch(val) [240][320/500] eta: 0:00:08 time: 0.0471 data_time: 0.0018 memory: 2001 2022/08/26 07:41:58 - mmengine - INFO - Epoch(val) [240][325/500] eta: 0:00:08 time: 0.0463 data_time: 0.0018 memory: 2076 2022/08/26 07:41:58 - mmengine - INFO - Epoch(val) [240][330/500] eta: 0:00:07 time: 0.0442 data_time: 0.0017 memory: 1737 2022/08/26 07:41:58 - mmengine - INFO - Epoch(val) [240][335/500] eta: 0:00:07 time: 0.0454 data_time: 0.0016 memory: 1926 2022/08/26 07:41:59 - mmengine - INFO - Epoch(val) [240][340/500] eta: 0:00:07 time: 0.0478 data_time: 0.0018 memory: 2039 2022/08/26 07:41:59 - mmengine - INFO - Epoch(val) [240][345/500] eta: 0:00:07 time: 0.0414 data_time: 0.0019 memory: 1926 2022/08/26 07:41:59 - mmengine - INFO - Epoch(val) [240][350/500] eta: 0:00:06 time: 0.0445 data_time: 0.0018 memory: 1700 2022/08/26 07:42:00 - mmengine - INFO - Epoch(val) [240][355/500] eta: 0:00:06 time: 0.0640 data_time: 0.0018 memory: 2039 2022/08/26 07:42:00 - mmengine - INFO - Epoch(val) [240][360/500] eta: 0:00:07 time: 0.0553 data_time: 0.0017 memory: 1737 2022/08/26 07:42:00 - mmengine - INFO - Epoch(val) [240][365/500] eta: 0:00:07 time: 0.0373 data_time: 0.0016 memory: 1588 2022/08/26 07:42:00 - mmengine - INFO - Epoch(val) [240][370/500] eta: 0:00:04 time: 0.0363 data_time: 0.0016 memory: 1813 2022/08/26 07:42:00 - mmengine - INFO - Epoch(val) [240][375/500] eta: 0:00:04 time: 0.0318 data_time: 0.0016 memory: 1700 2022/08/26 07:42:00 - mmengine - INFO - Epoch(val) [240][380/500] eta: 0:00:04 time: 0.0359 data_time: 0.0017 memory: 2039 2022/08/26 07:42:01 - mmengine - INFO - Epoch(val) [240][385/500] eta: 0:00:04 time: 0.0411 data_time: 0.0017 memory: 2039 2022/08/26 07:42:01 - mmengine - INFO - Epoch(val) [240][390/500] eta: 0:00:05 time: 0.0458 data_time: 0.0017 memory: 2076 2022/08/26 07:42:01 - mmengine - INFO - Epoch(val) [240][395/500] eta: 0:00:05 time: 0.0626 data_time: 0.0018 memory: 1700 2022/08/26 07:42:02 - mmengine - INFO - Epoch(val) [240][400/500] eta: 0:00:06 time: 0.0640 data_time: 0.0018 memory: 2039 2022/08/26 07:42:03 - mmengine - INFO - Epoch(val) [240][405/500] eta: 0:00:06 time: 0.1261 data_time: 0.0034 memory: 2039 2022/08/26 07:42:03 - mmengine - INFO - Epoch(val) [240][410/500] eta: 0:00:13 time: 0.1481 data_time: 0.0213 memory: 1813 2022/08/26 07:42:03 - mmengine - INFO - Epoch(val) [240][415/500] eta: 0:00:13 time: 0.0774 data_time: 0.0203 memory: 1700 2022/08/26 07:42:04 - mmengine - INFO - Epoch(val) [240][420/500] eta: 0:00:04 time: 0.0610 data_time: 0.0024 memory: 2001 2022/08/26 07:42:04 - mmengine - INFO - Epoch(val) [240][425/500] eta: 0:00:04 time: 0.0610 data_time: 0.0020 memory: 1700 2022/08/26 07:42:04 - mmengine - INFO - Epoch(val) [240][430/500] eta: 0:00:03 time: 0.0510 data_time: 0.0019 memory: 2076 2022/08/26 07:42:04 - mmengine - INFO - Epoch(val) [240][435/500] eta: 0:00:03 time: 0.0440 data_time: 0.0017 memory: 1700 2022/08/26 07:42:05 - mmengine - INFO - Epoch(val) [240][440/500] eta: 0:00:02 time: 0.0417 data_time: 0.0017 memory: 1850 2022/08/26 07:42:05 - mmengine - INFO - Epoch(val) [240][445/500] eta: 0:00:02 time: 0.0417 data_time: 0.0017 memory: 2001 2022/08/26 07:42:05 - mmengine - INFO - Epoch(val) [240][450/500] eta: 0:00:02 time: 0.0418 data_time: 0.0018 memory: 1700 2022/08/26 07:42:05 - mmengine - INFO - Epoch(val) [240][455/500] eta: 0:00:02 time: 0.0439 data_time: 0.0017 memory: 2076 2022/08/26 07:42:05 - mmengine - INFO - Epoch(val) [240][460/500] eta: 0:00:01 time: 0.0430 data_time: 0.0018 memory: 1775 2022/08/26 07:42:06 - mmengine - INFO - Epoch(val) [240][465/500] eta: 0:00:01 time: 0.0388 data_time: 0.0018 memory: 1963 2022/08/26 07:42:06 - mmengine - INFO - Epoch(val) [240][470/500] eta: 0:00:01 time: 0.0378 data_time: 0.0017 memory: 1775 2022/08/26 07:42:06 - mmengine - INFO - Epoch(val) [240][475/500] eta: 0:00:01 time: 0.0425 data_time: 0.0017 memory: 2076 2022/08/26 07:42:06 - mmengine - INFO - Epoch(val) [240][480/500] eta: 0:00:00 time: 0.0449 data_time: 0.0018 memory: 2039 2022/08/26 07:42:06 - mmengine - INFO - Epoch(val) [240][485/500] eta: 0:00:00 time: 0.0400 data_time: 0.0018 memory: 1700 2022/08/26 07:42:07 - mmengine - INFO - Epoch(val) [240][490/500] eta: 0:00:00 time: 0.0359 data_time: 0.0018 memory: 1963 2022/08/26 07:42:07 - mmengine - INFO - Epoch(val) [240][495/500] eta: 0:00:00 time: 0.0419 data_time: 0.0017 memory: 2076 2022/08/26 07:42:07 - mmengine - INFO - Epoch(val) [240][500/500] eta: 0:00:00 time: 0.0439 data_time: 0.0017 memory: 1737 2022/08/26 07:42:07 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 07:42:07 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7886, precision: 0.4992, hmean: 0.6114 2022/08/26 07:42:07 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7886, precision: 0.4992, hmean: 0.6114 2022/08/26 07:42:07 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7886, precision: 0.4992, hmean: 0.6114 2022/08/26 07:42:07 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7886, precision: 0.5224, hmean: 0.6285 2022/08/26 07:42:07 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7880, precision: 0.5946, hmean: 0.6778 2022/08/26 07:42:07 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7850, precision: 0.6792, hmean: 0.7283 2022/08/26 07:42:07 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7623, precision: 0.7726, hmean: 0.7674 2022/08/26 07:42:07 - mmengine - INFO - Epoch(val) [240][500/500] icdar/precision: 0.7726 icdar/recall: 0.7623 icdar/hmean: 0.7674 2022/08/26 07:43:36 - mmengine - INFO - Epoch(train) [241][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 9.2505 data_time: 8.4212 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0180 loss: 0.0445 2022/08/26 07:43:40 - mmengine - INFO - Epoch(train) [241][10/63] lr: 1.0000e-05 eta: 13:38:47 time: 9.3071 data_time: 8.4392 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0182 loss: 0.0449 2022/08/26 07:43:45 - mmengine - INFO - Epoch(train) [241][15/63] lr: 1.0000e-05 eta: 13:38:47 time: 0.8767 data_time: 0.0331 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0163 loss: 0.0384 2022/08/26 07:43:49 - mmengine - INFO - Epoch(train) [241][20/63] lr: 1.0000e-05 eta: 13:38:07 time: 0.8901 data_time: 0.0212 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0175 loss: 0.0427 2022/08/26 07:43:54 - mmengine - INFO - Epoch(train) [241][25/63] lr: 1.0000e-05 eta: 13:38:07 time: 0.9008 data_time: 0.0343 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0185 loss: 0.0445 2022/08/26 07:43:58 - mmengine - INFO - Epoch(train) [241][30/63] lr: 1.0000e-05 eta: 13:37:26 time: 0.8751 data_time: 0.0248 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0163 loss: 0.0397 2022/08/26 07:44:02 - mmengine - INFO - Epoch(train) [241][35/63] lr: 1.0000e-05 eta: 13:37:26 time: 0.8699 data_time: 0.0297 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0181 loss: 0.0453 2022/08/26 07:44:07 - mmengine - INFO - Epoch(train) [241][40/63] lr: 1.0000e-05 eta: 13:36:45 time: 0.8779 data_time: 0.0361 memory: 25127 loss_text: 0.0315 loss_kernel: 0.0215 loss: 0.0530 2022/08/26 07:44:11 - mmengine - INFO - Epoch(train) [241][45/63] lr: 1.0000e-05 eta: 13:36:45 time: 0.8805 data_time: 0.0284 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0214 loss: 0.0545 2022/08/26 07:44:16 - mmengine - INFO - Epoch(train) [241][50/63] lr: 1.0000e-05 eta: 13:36:04 time: 0.8841 data_time: 0.0282 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0215 loss: 0.0537 2022/08/26 07:44:20 - mmengine - INFO - Epoch(train) [241][55/63] lr: 1.0000e-05 eta: 13:36:04 time: 0.9015 data_time: 0.0254 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0192 loss: 0.0466 2022/08/26 07:44:25 - mmengine - INFO - Epoch(train) [241][60/63] lr: 1.0000e-05 eta: 13:35:23 time: 0.8969 data_time: 0.0224 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0189 loss: 0.0469 2022/08/26 07:44:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:45:55 - mmengine - INFO - Epoch(train) [242][5/63] lr: 1.0000e-05 eta: 13:35:23 time: 9.1902 data_time: 8.3748 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0165 loss: 0.0386 2022/08/26 07:45:59 - mmengine - INFO - Epoch(train) [242][10/63] lr: 1.0000e-05 eta: 13:36:31 time: 9.2555 data_time: 8.3851 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0180 loss: 0.0434 2022/08/26 07:46:04 - mmengine - INFO - Epoch(train) [242][15/63] lr: 1.0000e-05 eta: 13:36:31 time: 0.8898 data_time: 0.0234 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0195 loss: 0.0451 2022/08/26 07:46:08 - mmengine - INFO - Epoch(train) [242][20/63] lr: 1.0000e-05 eta: 13:35:51 time: 0.8855 data_time: 0.0242 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0187 loss: 0.0442 2022/08/26 07:46:13 - mmengine - INFO - Epoch(train) [242][25/63] lr: 1.0000e-05 eta: 13:35:51 time: 0.8932 data_time: 0.0327 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0178 loss: 0.0435 2022/08/26 07:46:17 - mmengine - INFO - Epoch(train) [242][30/63] lr: 1.0000e-05 eta: 13:35:10 time: 0.9029 data_time: 0.0360 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0176 loss: 0.0393 2022/08/26 07:46:22 - mmengine - INFO - Epoch(train) [242][35/63] lr: 1.0000e-05 eta: 13:35:10 time: 0.8997 data_time: 0.0436 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0168 loss: 0.0389 2022/08/26 07:46:26 - mmengine - INFO - Epoch(train) [242][40/63] lr: 1.0000e-05 eta: 13:34:29 time: 0.8821 data_time: 0.0279 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0187 loss: 0.0467 2022/08/26 07:46:30 - mmengine - INFO - Epoch(train) [242][45/63] lr: 1.0000e-05 eta: 13:34:29 time: 0.8729 data_time: 0.0244 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0188 loss: 0.0462 2022/08/26 07:46:35 - mmengine - INFO - Epoch(train) [242][50/63] lr: 1.0000e-05 eta: 13:33:49 time: 0.8960 data_time: 0.0380 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0164 loss: 0.0380 2022/08/26 07:46:40 - mmengine - INFO - Epoch(train) [242][55/63] lr: 1.0000e-05 eta: 13:33:49 time: 0.9098 data_time: 0.0290 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0167 loss: 0.0392 2022/08/26 07:46:44 - mmengine - INFO - Epoch(train) [242][60/63] lr: 1.0000e-05 eta: 13:33:08 time: 0.8776 data_time: 0.0193 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0184 loss: 0.0460 2022/08/26 07:46:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:48:13 - mmengine - INFO - Epoch(train) [243][5/63] lr: 1.0000e-05 eta: 13:33:08 time: 9.0668 data_time: 8.2743 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0179 loss: 0.0440 2022/08/26 07:48:17 - mmengine - INFO - Epoch(train) [243][10/63] lr: 1.0000e-05 eta: 13:34:13 time: 9.1116 data_time: 8.2883 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0196 loss: 0.0477 2022/08/26 07:48:21 - mmengine - INFO - Epoch(train) [243][15/63] lr: 1.0000e-05 eta: 13:34:13 time: 0.8405 data_time: 0.0268 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0258 loss: 0.0671 2022/08/26 07:48:27 - mmengine - INFO - Epoch(train) [243][20/63] lr: 1.0000e-05 eta: 13:33:34 time: 0.9443 data_time: 0.0262 memory: 25127 loss_text: 0.0394 loss_kernel: 0.0239 loss: 0.0633 2022/08/26 07:48:31 - mmengine - INFO - Epoch(train) [243][25/63] lr: 1.0000e-05 eta: 13:33:34 time: 0.9594 data_time: 0.0332 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0198 loss: 0.0505 2022/08/26 07:48:35 - mmengine - INFO - Epoch(train) [243][30/63] lr: 1.0000e-05 eta: 13:32:53 time: 0.8608 data_time: 0.0369 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0192 loss: 0.0454 2022/08/26 07:48:39 - mmengine - INFO - Epoch(train) [243][35/63] lr: 1.0000e-05 eta: 13:32:53 time: 0.8495 data_time: 0.0341 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0191 loss: 0.0450 2022/08/26 07:48:44 - mmengine - INFO - Epoch(train) [243][40/63] lr: 1.0000e-05 eta: 13:32:12 time: 0.8936 data_time: 0.0271 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0184 loss: 0.0445 2022/08/26 07:48:49 - mmengine - INFO - Epoch(train) [243][45/63] lr: 1.0000e-05 eta: 13:32:12 time: 0.9103 data_time: 0.0352 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0170 loss: 0.0398 2022/08/26 07:48:53 - mmengine - INFO - Epoch(train) [243][50/63] lr: 1.0000e-05 eta: 13:31:31 time: 0.8617 data_time: 0.0336 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0165 loss: 0.0393 2022/08/26 07:48:57 - mmengine - INFO - Epoch(train) [243][55/63] lr: 1.0000e-05 eta: 13:31:31 time: 0.8593 data_time: 0.0282 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0166 loss: 0.0397 2022/08/26 07:49:01 - mmengine - INFO - Epoch(train) [243][60/63] lr: 1.0000e-05 eta: 13:30:51 time: 0.8588 data_time: 0.0230 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0204 loss: 0.0518 2022/08/26 07:49:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:50:33 - mmengine - INFO - Epoch(train) [244][5/63] lr: 1.0000e-05 eta: 13:30:51 time: 9.2633 data_time: 8.4353 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0155 loss: 0.0366 2022/08/26 07:50:37 - mmengine - INFO - Epoch(train) [244][10/63] lr: 1.0000e-05 eta: 13:31:58 time: 9.2932 data_time: 8.4505 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0171 loss: 0.0434 2022/08/26 07:50:41 - mmengine - INFO - Epoch(train) [244][15/63] lr: 1.0000e-05 eta: 13:31:58 time: 0.8671 data_time: 0.0320 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0182 loss: 0.0454 2022/08/26 07:50:46 - mmengine - INFO - Epoch(train) [244][20/63] lr: 1.0000e-05 eta: 13:31:17 time: 0.8668 data_time: 0.0258 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0171 loss: 0.0399 2022/08/26 07:50:50 - mmengine - INFO - Epoch(train) [244][25/63] lr: 1.0000e-05 eta: 13:31:17 time: 0.8675 data_time: 0.0382 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0186 loss: 0.0454 2022/08/26 07:50:54 - mmengine - INFO - Epoch(train) [244][30/63] lr: 1.0000e-05 eta: 13:30:36 time: 0.8826 data_time: 0.0272 memory: 25127 loss_text: 0.0294 loss_kernel: 0.0194 loss: 0.0488 2022/08/26 07:50:59 - mmengine - INFO - Epoch(train) [244][35/63] lr: 1.0000e-05 eta: 13:30:36 time: 0.8708 data_time: 0.0247 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0177 loss: 0.0425 2022/08/26 07:51:03 - mmengine - INFO - Epoch(train) [244][40/63] lr: 1.0000e-05 eta: 13:29:56 time: 0.8499 data_time: 0.0301 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0169 loss: 0.0400 2022/08/26 07:51:07 - mmengine - INFO - Epoch(train) [244][45/63] lr: 1.0000e-05 eta: 13:29:56 time: 0.8512 data_time: 0.0293 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0166 loss: 0.0392 2022/08/26 07:51:11 - mmengine - INFO - Epoch(train) [244][50/63] lr: 1.0000e-05 eta: 13:29:15 time: 0.8481 data_time: 0.0370 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0175 loss: 0.0403 2022/08/26 07:51:16 - mmengine - INFO - Epoch(train) [244][55/63] lr: 1.0000e-05 eta: 13:29:15 time: 0.8811 data_time: 0.0297 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0175 loss: 0.0409 2022/08/26 07:51:20 - mmengine - INFO - Epoch(train) [244][60/63] lr: 1.0000e-05 eta: 13:28:34 time: 0.8657 data_time: 0.0196 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0161 loss: 0.0390 2022/08/26 07:51:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:52:50 - mmengine - INFO - Epoch(train) [245][5/63] lr: 1.0000e-05 eta: 13:28:34 time: 9.1391 data_time: 8.3363 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0164 loss: 0.0384 2022/08/26 07:52:54 - mmengine - INFO - Epoch(train) [245][10/63] lr: 1.0000e-05 eta: 13:29:39 time: 9.2095 data_time: 8.3552 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0159 loss: 0.0369 2022/08/26 07:52:59 - mmengine - INFO - Epoch(train) [245][15/63] lr: 1.0000e-05 eta: 13:29:39 time: 0.8877 data_time: 0.0415 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0164 loss: 0.0387 2022/08/26 07:53:03 - mmengine - INFO - Epoch(train) [245][20/63] lr: 1.0000e-05 eta: 13:28:59 time: 0.8747 data_time: 0.0343 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0182 loss: 0.0446 2022/08/26 07:53:07 - mmengine - INFO - Epoch(train) [245][25/63] lr: 1.0000e-05 eta: 13:28:59 time: 0.8562 data_time: 0.0316 memory: 25127 loss_text: 0.0352 loss_kernel: 0.0220 loss: 0.0573 2022/08/26 07:53:12 - mmengine - INFO - Epoch(train) [245][30/63] lr: 1.0000e-05 eta: 13:28:18 time: 0.8688 data_time: 0.0343 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0203 loss: 0.0507 2022/08/26 07:53:16 - mmengine - INFO - Epoch(train) [245][35/63] lr: 1.0000e-05 eta: 13:28:18 time: 0.8756 data_time: 0.0286 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0167 loss: 0.0379 2022/08/26 07:53:21 - mmengine - INFO - Epoch(train) [245][40/63] lr: 1.0000e-05 eta: 13:27:38 time: 0.8759 data_time: 0.0251 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0190 loss: 0.0458 2022/08/26 07:53:25 - mmengine - INFO - Epoch(train) [245][45/63] lr: 1.0000e-05 eta: 13:27:38 time: 0.8689 data_time: 0.0378 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0176 loss: 0.0432 2022/08/26 07:53:29 - mmengine - INFO - Epoch(train) [245][50/63] lr: 1.0000e-05 eta: 13:26:57 time: 0.8598 data_time: 0.0357 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0177 loss: 0.0439 2022/08/26 07:53:33 - mmengine - INFO - Epoch(train) [245][55/63] lr: 1.0000e-05 eta: 13:26:57 time: 0.8611 data_time: 0.0291 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0193 loss: 0.0483 2022/08/26 07:53:38 - mmengine - INFO - Epoch(train) [245][60/63] lr: 1.0000e-05 eta: 13:26:17 time: 0.8554 data_time: 0.0252 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0186 loss: 0.0427 2022/08/26 07:53:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:55:09 - mmengine - INFO - Epoch(train) [246][5/63] lr: 1.0000e-05 eta: 13:26:17 time: 9.2665 data_time: 8.4682 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0173 loss: 0.0392 2022/08/26 07:55:13 - mmengine - INFO - Epoch(train) [246][10/63] lr: 1.0000e-05 eta: 13:27:22 time: 9.2967 data_time: 8.4838 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0182 loss: 0.0442 2022/08/26 07:55:17 - mmengine - INFO - Epoch(train) [246][15/63] lr: 1.0000e-05 eta: 13:27:22 time: 0.8419 data_time: 0.0411 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0185 loss: 0.0459 2022/08/26 07:55:22 - mmengine - INFO - Epoch(train) [246][20/63] lr: 1.0000e-05 eta: 13:26:42 time: 0.8750 data_time: 0.0429 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0161 loss: 0.0384 2022/08/26 07:55:26 - mmengine - INFO - Epoch(train) [246][25/63] lr: 1.0000e-05 eta: 13:26:42 time: 0.8804 data_time: 0.0335 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0201 loss: 0.0461 2022/08/26 07:55:30 - mmengine - INFO - Epoch(train) [246][30/63] lr: 1.0000e-05 eta: 13:26:01 time: 0.8411 data_time: 0.0189 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0209 loss: 0.0477 2022/08/26 07:55:34 - mmengine - INFO - Epoch(train) [246][35/63] lr: 1.0000e-05 eta: 13:26:01 time: 0.8368 data_time: 0.0267 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0190 loss: 0.0464 2022/08/26 07:55:38 - mmengine - INFO - Epoch(train) [246][40/63] lr: 1.0000e-05 eta: 13:25:20 time: 0.8335 data_time: 0.0295 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0182 loss: 0.0458 2022/08/26 07:55:43 - mmengine - INFO - Epoch(train) [246][45/63] lr: 1.0000e-05 eta: 13:25:20 time: 0.8363 data_time: 0.0257 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0176 loss: 0.0437 2022/08/26 07:55:47 - mmengine - INFO - Epoch(train) [246][50/63] lr: 1.0000e-05 eta: 13:24:40 time: 0.8310 data_time: 0.0255 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0199 loss: 0.0503 2022/08/26 07:55:51 - mmengine - INFO - Epoch(train) [246][55/63] lr: 1.0000e-05 eta: 13:24:40 time: 0.8215 data_time: 0.0240 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0226 loss: 0.0545 2022/08/26 07:55:55 - mmengine - INFO - Epoch(train) [246][60/63] lr: 1.0000e-05 eta: 13:23:59 time: 0.8591 data_time: 0.0232 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0211 loss: 0.0477 2022/08/26 07:55:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:57:26 - mmengine - INFO - Epoch(train) [247][5/63] lr: 1.0000e-05 eta: 13:23:59 time: 9.2469 data_time: 8.4384 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0184 loss: 0.0442 2022/08/26 07:57:31 - mmengine - INFO - Epoch(train) [247][10/63] lr: 1.0000e-05 eta: 13:25:04 time: 9.2989 data_time: 8.4632 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0162 loss: 0.0371 2022/08/26 07:57:35 - mmengine - INFO - Epoch(train) [247][15/63] lr: 1.0000e-05 eta: 13:25:04 time: 0.8770 data_time: 0.0382 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0179 loss: 0.0430 2022/08/26 07:57:39 - mmengine - INFO - Epoch(train) [247][20/63] lr: 1.0000e-05 eta: 13:24:24 time: 0.8571 data_time: 0.0300 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0184 loss: 0.0432 2022/08/26 07:57:43 - mmengine - INFO - Epoch(train) [247][25/63] lr: 1.0000e-05 eta: 13:24:24 time: 0.8483 data_time: 0.0451 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0179 loss: 0.0403 2022/08/26 07:57:48 - mmengine - INFO - Epoch(train) [247][30/63] lr: 1.0000e-05 eta: 13:23:43 time: 0.8379 data_time: 0.0269 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0192 loss: 0.0465 2022/08/26 07:57:52 - mmengine - INFO - Epoch(train) [247][35/63] lr: 1.0000e-05 eta: 13:23:43 time: 0.8433 data_time: 0.0248 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0202 loss: 0.0510 2022/08/26 07:57:57 - mmengine - INFO - Epoch(train) [247][40/63] lr: 1.0000e-05 eta: 13:23:03 time: 0.8923 data_time: 0.0285 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0192 loss: 0.0467 2022/08/26 07:58:01 - mmengine - INFO - Epoch(train) [247][45/63] lr: 1.0000e-05 eta: 13:23:03 time: 0.8797 data_time: 0.0301 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0190 loss: 0.0459 2022/08/26 07:58:05 - mmengine - INFO - Epoch(train) [247][50/63] lr: 1.0000e-05 eta: 13:22:22 time: 0.8286 data_time: 0.0340 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0192 loss: 0.0447 2022/08/26 07:58:09 - mmengine - INFO - Epoch(train) [247][55/63] lr: 1.0000e-05 eta: 13:22:22 time: 0.8205 data_time: 0.0275 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0191 loss: 0.0442 2022/08/26 07:58:13 - mmengine - INFO - Epoch(train) [247][60/63] lr: 1.0000e-05 eta: 13:21:42 time: 0.8163 data_time: 0.0206 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0202 loss: 0.0514 2022/08/26 07:58:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 07:59:44 - mmengine - INFO - Epoch(train) [248][5/63] lr: 1.0000e-05 eta: 13:21:42 time: 9.2622 data_time: 8.4433 memory: 25127 loss_text: 0.0222 loss_kernel: 0.0162 loss: 0.0383 2022/08/26 07:59:49 - mmengine - INFO - Epoch(train) [248][10/63] lr: 1.0000e-05 eta: 13:22:46 time: 9.3079 data_time: 8.4556 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0171 loss: 0.0394 2022/08/26 07:59:53 - mmengine - INFO - Epoch(train) [248][15/63] lr: 1.0000e-05 eta: 13:22:46 time: 0.8817 data_time: 0.0253 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0206 loss: 0.0506 2022/08/26 07:59:57 - mmengine - INFO - Epoch(train) [248][20/63] lr: 1.0000e-05 eta: 13:22:06 time: 0.8762 data_time: 0.0241 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0204 loss: 0.0508 2022/08/26 08:00:02 - mmengine - INFO - Epoch(train) [248][25/63] lr: 1.0000e-05 eta: 13:22:06 time: 0.8869 data_time: 0.0384 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0183 loss: 0.0406 2022/08/26 08:00:06 - mmengine - INFO - Epoch(train) [248][30/63] lr: 1.0000e-05 eta: 13:21:26 time: 0.8883 data_time: 0.0311 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0177 loss: 0.0397 2022/08/26 08:00:11 - mmengine - INFO - Epoch(train) [248][35/63] lr: 1.0000e-05 eta: 13:21:26 time: 0.8632 data_time: 0.0221 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0185 loss: 0.0463 2022/08/26 08:00:15 - mmengine - INFO - Epoch(train) [248][40/63] lr: 1.0000e-05 eta: 13:20:46 time: 0.8705 data_time: 0.0257 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0187 loss: 0.0457 2022/08/26 08:00:19 - mmengine - INFO - Epoch(train) [248][45/63] lr: 1.0000e-05 eta: 13:20:46 time: 0.8785 data_time: 0.0334 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0164 loss: 0.0382 2022/08/26 08:00:24 - mmengine - INFO - Epoch(train) [248][50/63] lr: 1.0000e-05 eta: 13:20:06 time: 0.8832 data_time: 0.0351 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0160 loss: 0.0385 2022/08/26 08:00:28 - mmengine - INFO - Epoch(train) [248][55/63] lr: 1.0000e-05 eta: 13:20:06 time: 0.8688 data_time: 0.0266 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0168 loss: 0.0403 2022/08/26 08:00:33 - mmengine - INFO - Epoch(train) [248][60/63] lr: 1.0000e-05 eta: 13:19:26 time: 0.8811 data_time: 0.0234 memory: 25127 loss_text: 0.0365 loss_kernel: 0.0227 loss: 0.0592 2022/08/26 08:00:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:02:03 - mmengine - INFO - Epoch(train) [249][5/63] lr: 1.0000e-05 eta: 13:19:26 time: 9.2652 data_time: 8.4024 memory: 25127 loss_text: 0.0384 loss_kernel: 0.0247 loss: 0.0632 2022/08/26 08:02:08 - mmengine - INFO - Epoch(train) [249][10/63] lr: 1.0000e-05 eta: 13:20:30 time: 9.2712 data_time: 8.4234 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0191 loss: 0.0490 2022/08/26 08:02:12 - mmengine - INFO - Epoch(train) [249][15/63] lr: 1.0000e-05 eta: 13:20:30 time: 0.8746 data_time: 0.0345 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0179 loss: 0.0453 2022/08/26 08:02:16 - mmengine - INFO - Epoch(train) [249][20/63] lr: 1.0000e-05 eta: 13:19:50 time: 0.8683 data_time: 0.0216 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0166 loss: 0.0406 2022/08/26 08:02:21 - mmengine - INFO - Epoch(train) [249][25/63] lr: 1.0000e-05 eta: 13:19:50 time: 0.8656 data_time: 0.0361 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0179 loss: 0.0447 2022/08/26 08:02:25 - mmengine - INFO - Epoch(train) [249][30/63] lr: 1.0000e-05 eta: 13:19:10 time: 0.8560 data_time: 0.0290 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0185 loss: 0.0449 2022/08/26 08:02:29 - mmengine - INFO - Epoch(train) [249][35/63] lr: 1.0000e-05 eta: 13:19:10 time: 0.8486 data_time: 0.0224 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0230 loss: 0.0549 2022/08/26 08:02:34 - mmengine - INFO - Epoch(train) [249][40/63] lr: 1.0000e-05 eta: 13:18:30 time: 0.8751 data_time: 0.0288 memory: 25127 loss_text: 0.0336 loss_kernel: 0.0238 loss: 0.0574 2022/08/26 08:02:38 - mmengine - INFO - Epoch(train) [249][45/63] lr: 1.0000e-05 eta: 13:18:30 time: 0.8766 data_time: 0.0287 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0179 loss: 0.0432 2022/08/26 08:02:42 - mmengine - INFO - Epoch(train) [249][50/63] lr: 1.0000e-05 eta: 13:17:50 time: 0.8534 data_time: 0.0349 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0193 loss: 0.0516 2022/08/26 08:02:47 - mmengine - INFO - Epoch(train) [249][55/63] lr: 1.0000e-05 eta: 13:17:50 time: 0.8528 data_time: 0.0307 memory: 25127 loss_text: 0.0399 loss_kernel: 0.0236 loss: 0.0635 2022/08/26 08:02:51 - mmengine - INFO - Epoch(train) [249][60/63] lr: 1.0000e-05 eta: 13:17:10 time: 0.8558 data_time: 0.0197 memory: 25127 loss_text: 0.0356 loss_kernel: 0.0231 loss: 0.0587 2022/08/26 08:02:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:04:22 - mmengine - INFO - Epoch(train) [250][5/63] lr: 1.0000e-05 eta: 13:17:10 time: 9.2925 data_time: 8.4878 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0159 loss: 0.0385 2022/08/26 08:04:27 - mmengine - INFO - Epoch(train) [250][10/63] lr: 1.0000e-05 eta: 13:18:13 time: 9.3473 data_time: 8.5100 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0176 loss: 0.0405 2022/08/26 08:04:31 - mmengine - INFO - Epoch(train) [250][15/63] lr: 1.0000e-05 eta: 13:18:13 time: 0.8382 data_time: 0.0323 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0170 loss: 0.0378 2022/08/26 08:04:35 - mmengine - INFO - Epoch(train) [250][20/63] lr: 1.0000e-05 eta: 13:17:33 time: 0.8368 data_time: 0.0158 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0172 loss: 0.0421 2022/08/26 08:04:39 - mmengine - INFO - Epoch(train) [250][25/63] lr: 1.0000e-05 eta: 13:17:33 time: 0.8711 data_time: 0.0465 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0177 loss: 0.0436 2022/08/26 08:04:43 - mmengine - INFO - Epoch(train) [250][30/63] lr: 1.0000e-05 eta: 13:16:53 time: 0.8512 data_time: 0.0406 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0202 loss: 0.0508 2022/08/26 08:04:48 - mmengine - INFO - Epoch(train) [250][35/63] lr: 1.0000e-05 eta: 13:16:53 time: 0.9007 data_time: 0.0732 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0205 loss: 0.0507 2022/08/26 08:04:52 - mmengine - INFO - Epoch(train) [250][40/63] lr: 1.0000e-05 eta: 13:16:13 time: 0.8961 data_time: 0.0823 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0181 loss: 0.0442 2022/08/26 08:04:57 - mmengine - INFO - Epoch(train) [250][45/63] lr: 1.0000e-05 eta: 13:16:13 time: 0.8378 data_time: 0.0305 memory: 25127 loss_text: 0.0320 loss_kernel: 0.0209 loss: 0.0529 2022/08/26 08:05:01 - mmengine - INFO - Epoch(train) [250][50/63] lr: 1.0000e-05 eta: 13:15:33 time: 0.8475 data_time: 0.0321 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0215 loss: 0.0548 2022/08/26 08:05:05 - mmengine - INFO - Epoch(train) [250][55/63] lr: 1.0000e-05 eta: 13:15:33 time: 0.8475 data_time: 0.0323 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0203 loss: 0.0511 2022/08/26 08:05:09 - mmengine - INFO - Epoch(train) [250][60/63] lr: 1.0000e-05 eta: 13:14:53 time: 0.8475 data_time: 0.0257 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0191 loss: 0.0458 2022/08/26 08:05:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:06:38 - mmengine - INFO - Epoch(train) [251][5/63] lr: 1.0000e-05 eta: 13:14:53 time: 9.0133 data_time: 8.2095 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0225 loss: 0.0584 2022/08/26 08:06:42 - mmengine - INFO - Epoch(train) [251][10/63] lr: 1.0000e-05 eta: 13:15:53 time: 9.0635 data_time: 8.2234 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0186 loss: 0.0449 2022/08/26 08:06:47 - mmengine - INFO - Epoch(train) [251][15/63] lr: 1.0000e-05 eta: 13:15:53 time: 0.8776 data_time: 0.0302 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0160 loss: 0.0381 2022/08/26 08:06:51 - mmengine - INFO - Epoch(train) [251][20/63] lr: 1.0000e-05 eta: 13:15:13 time: 0.8740 data_time: 0.0250 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0165 loss: 0.0397 2022/08/26 08:06:56 - mmengine - INFO - Epoch(train) [251][25/63] lr: 1.0000e-05 eta: 13:15:13 time: 0.8684 data_time: 0.0376 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0183 loss: 0.0450 2022/08/26 08:07:00 - mmengine - INFO - Epoch(train) [251][30/63] lr: 1.0000e-05 eta: 13:14:33 time: 0.8625 data_time: 0.0318 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0176 loss: 0.0431 2022/08/26 08:07:04 - mmengine - INFO - Epoch(train) [251][35/63] lr: 1.0000e-05 eta: 13:14:33 time: 0.8506 data_time: 0.0254 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0170 loss: 0.0412 2022/08/26 08:07:08 - mmengine - INFO - Epoch(train) [251][40/63] lr: 1.0000e-05 eta: 13:13:53 time: 0.8750 data_time: 0.0315 memory: 25127 loss_text: 0.0289 loss_kernel: 0.0191 loss: 0.0481 2022/08/26 08:07:13 - mmengine - INFO - Epoch(train) [251][45/63] lr: 1.0000e-05 eta: 13:13:53 time: 0.8762 data_time: 0.0287 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0190 loss: 0.0465 2022/08/26 08:07:17 - mmengine - INFO - Epoch(train) [251][50/63] lr: 1.0000e-05 eta: 13:13:14 time: 0.8600 data_time: 0.0307 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0173 loss: 0.0415 2022/08/26 08:07:22 - mmengine - INFO - Epoch(train) [251][55/63] lr: 1.0000e-05 eta: 13:13:14 time: 0.8816 data_time: 0.0363 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0162 loss: 0.0390 2022/08/26 08:07:26 - mmengine - INFO - Epoch(train) [251][60/63] lr: 1.0000e-05 eta: 13:12:34 time: 0.8642 data_time: 0.0271 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0177 loss: 0.0428 2022/08/26 08:07:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:08:54 - mmengine - INFO - Epoch(train) [252][5/63] lr: 1.0000e-05 eta: 13:12:34 time: 9.0165 data_time: 8.1799 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0191 loss: 0.0434 2022/08/26 08:08:59 - mmengine - INFO - Epoch(train) [252][10/63] lr: 1.0000e-05 eta: 13:13:33 time: 9.0810 data_time: 8.2019 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0189 loss: 0.0443 2022/08/26 08:09:03 - mmengine - INFO - Epoch(train) [252][15/63] lr: 1.0000e-05 eta: 13:13:33 time: 0.8810 data_time: 0.0385 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0177 loss: 0.0436 2022/08/26 08:09:08 - mmengine - INFO - Epoch(train) [252][20/63] lr: 1.0000e-05 eta: 13:12:53 time: 0.8794 data_time: 0.0257 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0190 loss: 0.0482 2022/08/26 08:09:12 - mmengine - INFO - Epoch(train) [252][25/63] lr: 1.0000e-05 eta: 13:12:53 time: 0.8801 data_time: 0.0333 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0203 loss: 0.0510 2022/08/26 08:09:16 - mmengine - INFO - Epoch(train) [252][30/63] lr: 1.0000e-05 eta: 13:12:14 time: 0.8776 data_time: 0.0350 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0180 loss: 0.0432 2022/08/26 08:09:21 - mmengine - INFO - Epoch(train) [252][35/63] lr: 1.0000e-05 eta: 13:12:14 time: 0.8928 data_time: 0.0472 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0155 loss: 0.0358 2022/08/26 08:09:25 - mmengine - INFO - Epoch(train) [252][40/63] lr: 1.0000e-05 eta: 13:11:35 time: 0.8881 data_time: 0.0372 memory: 25127 loss_text: 0.0213 loss_kernel: 0.0156 loss: 0.0369 2022/08/26 08:09:30 - mmengine - INFO - Epoch(train) [252][45/63] lr: 1.0000e-05 eta: 13:11:35 time: 0.8704 data_time: 0.0262 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0168 loss: 0.0401 2022/08/26 08:09:34 - mmengine - INFO - Epoch(train) [252][50/63] lr: 1.0000e-05 eta: 13:10:55 time: 0.8709 data_time: 0.0398 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0170 loss: 0.0395 2022/08/26 08:09:39 - mmengine - INFO - Epoch(train) [252][55/63] lr: 1.0000e-05 eta: 13:10:55 time: 0.8959 data_time: 0.0315 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0185 loss: 0.0439 2022/08/26 08:09:43 - mmengine - INFO - Epoch(train) [252][60/63] lr: 1.0000e-05 eta: 13:10:16 time: 0.8943 data_time: 0.0214 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0200 loss: 0.0500 2022/08/26 08:09:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:11:13 - mmengine - INFO - Epoch(train) [253][5/63] lr: 1.0000e-05 eta: 13:10:16 time: 9.1553 data_time: 8.3678 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0175 loss: 0.0433 2022/08/26 08:11:17 - mmengine - INFO - Epoch(train) [253][10/63] lr: 1.0000e-05 eta: 13:11:16 time: 9.2072 data_time: 8.3892 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0159 loss: 0.0376 2022/08/26 08:11:21 - mmengine - INFO - Epoch(train) [253][15/63] lr: 1.0000e-05 eta: 13:11:16 time: 0.8369 data_time: 0.0291 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0156 loss: 0.0371 2022/08/26 08:11:26 - mmengine - INFO - Epoch(train) [253][20/63] lr: 1.0000e-05 eta: 13:10:37 time: 0.8913 data_time: 0.0200 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0149 loss: 0.0358 2022/08/26 08:11:30 - mmengine - INFO - Epoch(train) [253][25/63] lr: 1.0000e-05 eta: 13:10:37 time: 0.9157 data_time: 0.0389 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0158 loss: 0.0377 2022/08/26 08:11:35 - mmengine - INFO - Epoch(train) [253][30/63] lr: 1.0000e-05 eta: 13:09:57 time: 0.8368 data_time: 0.0278 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0163 loss: 0.0380 2022/08/26 08:11:39 - mmengine - INFO - Epoch(train) [253][35/63] lr: 1.0000e-05 eta: 13:09:57 time: 0.8504 data_time: 0.0269 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0168 loss: 0.0385 2022/08/26 08:11:43 - mmengine - INFO - Epoch(train) [253][40/63] lr: 1.0000e-05 eta: 13:09:17 time: 0.8766 data_time: 0.0351 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0181 loss: 0.0446 2022/08/26 08:11:48 - mmengine - INFO - Epoch(train) [253][45/63] lr: 1.0000e-05 eta: 13:09:17 time: 0.8615 data_time: 0.0268 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0183 loss: 0.0455 2022/08/26 08:11:52 - mmengine - INFO - Epoch(train) [253][50/63] lr: 1.0000e-05 eta: 13:08:38 time: 0.8632 data_time: 0.0331 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0170 loss: 0.0397 2022/08/26 08:11:56 - mmengine - INFO - Epoch(train) [253][55/63] lr: 1.0000e-05 eta: 13:08:38 time: 0.8609 data_time: 0.0297 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0164 loss: 0.0378 2022/08/26 08:12:01 - mmengine - INFO - Epoch(train) [253][60/63] lr: 1.0000e-05 eta: 13:07:59 time: 0.8923 data_time: 0.0188 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0185 loss: 0.0447 2022/08/26 08:12:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:13:31 - mmengine - INFO - Epoch(train) [254][5/63] lr: 1.0000e-05 eta: 13:07:59 time: 9.1559 data_time: 8.3025 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0206 loss: 0.0491 2022/08/26 08:13:35 - mmengine - INFO - Epoch(train) [254][10/63] lr: 1.0000e-05 eta: 13:08:58 time: 9.1620 data_time: 8.3127 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0194 loss: 0.0472 2022/08/26 08:13:39 - mmengine - INFO - Epoch(train) [254][15/63] lr: 1.0000e-05 eta: 13:08:58 time: 0.8721 data_time: 0.0401 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0179 loss: 0.0434 2022/08/26 08:13:43 - mmengine - INFO - Epoch(train) [254][20/63] lr: 1.0000e-05 eta: 13:08:18 time: 0.8592 data_time: 0.0338 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0185 loss: 0.0445 2022/08/26 08:13:48 - mmengine - INFO - Epoch(train) [254][25/63] lr: 1.0000e-05 eta: 13:08:18 time: 0.8403 data_time: 0.0315 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0184 loss: 0.0441 2022/08/26 08:13:52 - mmengine - INFO - Epoch(train) [254][30/63] lr: 1.0000e-05 eta: 13:07:39 time: 0.8589 data_time: 0.0390 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0172 loss: 0.0395 2022/08/26 08:13:56 - mmengine - INFO - Epoch(train) [254][35/63] lr: 1.0000e-05 eta: 13:07:39 time: 0.8718 data_time: 0.0280 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0211 loss: 0.0524 2022/08/26 08:14:01 - mmengine - INFO - Epoch(train) [254][40/63] lr: 1.0000e-05 eta: 13:06:59 time: 0.8580 data_time: 0.0245 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0206 loss: 0.0527 2022/08/26 08:14:05 - mmengine - INFO - Epoch(train) [254][45/63] lr: 1.0000e-05 eta: 13:06:59 time: 0.8533 data_time: 0.0261 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0164 loss: 0.0390 2022/08/26 08:14:09 - mmengine - INFO - Epoch(train) [254][50/63] lr: 1.0000e-05 eta: 13:06:20 time: 0.8897 data_time: 0.0340 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0162 loss: 0.0376 2022/08/26 08:14:14 - mmengine - INFO - Epoch(train) [254][55/63] lr: 1.0000e-05 eta: 13:06:20 time: 0.8824 data_time: 0.0375 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0190 loss: 0.0465 2022/08/26 08:14:18 - mmengine - INFO - Epoch(train) [254][60/63] lr: 1.0000e-05 eta: 13:05:41 time: 0.8803 data_time: 0.0255 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0189 loss: 0.0462 2022/08/26 08:14:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:14:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:15:48 - mmengine - INFO - Epoch(train) [255][5/63] lr: 1.0000e-05 eta: 13:05:41 time: 9.1187 data_time: 8.3185 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0165 loss: 0.0399 2022/08/26 08:15:52 - mmengine - INFO - Epoch(train) [255][10/63] lr: 1.0000e-05 eta: 13:06:39 time: 9.1612 data_time: 8.3211 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0183 loss: 0.0424 2022/08/26 08:15:57 - mmengine - INFO - Epoch(train) [255][15/63] lr: 1.0000e-05 eta: 13:06:39 time: 0.8886 data_time: 0.0316 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0181 loss: 0.0401 2022/08/26 08:16:01 - mmengine - INFO - Epoch(train) [255][20/63] lr: 1.0000e-05 eta: 13:06:00 time: 0.8913 data_time: 0.0349 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0187 loss: 0.0444 2022/08/26 08:16:05 - mmengine - INFO - Epoch(train) [255][25/63] lr: 1.0000e-05 eta: 13:06:00 time: 0.8635 data_time: 0.0271 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0179 loss: 0.0438 2022/08/26 08:16:10 - mmengine - INFO - Epoch(train) [255][30/63] lr: 1.0000e-05 eta: 13:05:21 time: 0.8771 data_time: 0.0290 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0151 loss: 0.0357 2022/08/26 08:16:14 - mmengine - INFO - Epoch(train) [255][35/63] lr: 1.0000e-05 eta: 13:05:21 time: 0.8728 data_time: 0.0301 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0175 loss: 0.0432 2022/08/26 08:16:19 - mmengine - INFO - Epoch(train) [255][40/63] lr: 1.0000e-05 eta: 13:04:42 time: 0.8763 data_time: 0.0278 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0191 loss: 0.0465 2022/08/26 08:16:23 - mmengine - INFO - Epoch(train) [255][45/63] lr: 1.0000e-05 eta: 13:04:42 time: 0.9216 data_time: 0.0333 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0166 loss: 0.0390 2022/08/26 08:16:28 - mmengine - INFO - Epoch(train) [255][50/63] lr: 1.0000e-05 eta: 13:04:03 time: 0.9045 data_time: 0.0298 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0163 loss: 0.0400 2022/08/26 08:16:32 - mmengine - INFO - Epoch(train) [255][55/63] lr: 1.0000e-05 eta: 13:04:03 time: 0.8694 data_time: 0.0253 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0173 loss: 0.0416 2022/08/26 08:16:36 - mmengine - INFO - Epoch(train) [255][60/63] lr: 1.0000e-05 eta: 13:03:24 time: 0.8679 data_time: 0.0255 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0172 loss: 0.0395 2022/08/26 08:16:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:18:05 - mmengine - INFO - Epoch(train) [256][5/63] lr: 1.0000e-05 eta: 13:03:24 time: 9.0675 data_time: 8.2769 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0191 loss: 0.0471 2022/08/26 08:18:10 - mmengine - INFO - Epoch(train) [256][10/63] lr: 1.0000e-05 eta: 13:04:22 time: 9.1453 data_time: 8.2982 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0198 loss: 0.0481 2022/08/26 08:18:15 - mmengine - INFO - Epoch(train) [256][15/63] lr: 1.0000e-05 eta: 13:04:22 time: 0.9503 data_time: 0.0428 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0195 loss: 0.0475 2022/08/26 08:18:19 - mmengine - INFO - Epoch(train) [256][20/63] lr: 1.0000e-05 eta: 13:03:43 time: 0.9265 data_time: 0.0230 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0213 loss: 0.0525 2022/08/26 08:18:24 - mmengine - INFO - Epoch(train) [256][25/63] lr: 1.0000e-05 eta: 13:03:43 time: 0.8827 data_time: 0.0355 memory: 25127 loss_text: 0.0311 loss_kernel: 0.0211 loss: 0.0522 2022/08/26 08:18:28 - mmengine - INFO - Epoch(train) [256][30/63] lr: 1.0000e-05 eta: 13:03:04 time: 0.8730 data_time: 0.0298 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0183 loss: 0.0446 2022/08/26 08:18:32 - mmengine - INFO - Epoch(train) [256][35/63] lr: 1.0000e-05 eta: 13:03:04 time: 0.8654 data_time: 0.0259 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0166 loss: 0.0384 2022/08/26 08:18:37 - mmengine - INFO - Epoch(train) [256][40/63] lr: 1.0000e-05 eta: 13:02:25 time: 0.8835 data_time: 0.0352 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0171 loss: 0.0399 2022/08/26 08:18:41 - mmengine - INFO - Epoch(train) [256][45/63] lr: 1.0000e-05 eta: 13:02:25 time: 0.8625 data_time: 0.0267 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0164 loss: 0.0389 2022/08/26 08:18:46 - mmengine - INFO - Epoch(train) [256][50/63] lr: 1.0000e-05 eta: 13:01:46 time: 0.8745 data_time: 0.0313 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0177 loss: 0.0440 2022/08/26 08:18:50 - mmengine - INFO - Epoch(train) [256][55/63] lr: 1.0000e-05 eta: 13:01:46 time: 0.8814 data_time: 0.0305 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0186 loss: 0.0458 2022/08/26 08:18:54 - mmengine - INFO - Epoch(train) [256][60/63] lr: 1.0000e-05 eta: 13:01:07 time: 0.8537 data_time: 0.0227 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0165 loss: 0.0394 2022/08/26 08:18:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:20:25 - mmengine - INFO - Epoch(train) [257][5/63] lr: 1.0000e-05 eta: 13:01:07 time: 9.2413 data_time: 8.4321 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0169 loss: 0.0417 2022/08/26 08:20:29 - mmengine - INFO - Epoch(train) [257][10/63] lr: 1.0000e-05 eta: 13:02:06 time: 9.2811 data_time: 8.4356 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0169 loss: 0.0426 2022/08/26 08:20:34 - mmengine - INFO - Epoch(train) [257][15/63] lr: 1.0000e-05 eta: 13:02:06 time: 0.8744 data_time: 0.0344 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0176 loss: 0.0438 2022/08/26 08:20:38 - mmengine - INFO - Epoch(train) [257][20/63] lr: 1.0000e-05 eta: 13:01:27 time: 0.8749 data_time: 0.0263 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0183 loss: 0.0453 2022/08/26 08:20:42 - mmengine - INFO - Epoch(train) [257][25/63] lr: 1.0000e-05 eta: 13:01:27 time: 0.8714 data_time: 0.0294 memory: 25127 loss_text: 0.0326 loss_kernel: 0.0206 loss: 0.0532 2022/08/26 08:20:47 - mmengine - INFO - Epoch(train) [257][30/63] lr: 1.0000e-05 eta: 13:00:48 time: 0.8478 data_time: 0.0299 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0194 loss: 0.0473 2022/08/26 08:20:51 - mmengine - INFO - Epoch(train) [257][35/63] lr: 1.0000e-05 eta: 13:00:48 time: 0.8255 data_time: 0.0209 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0167 loss: 0.0389 2022/08/26 08:20:55 - mmengine - INFO - Epoch(train) [257][40/63] lr: 1.0000e-05 eta: 13:00:08 time: 0.8351 data_time: 0.0280 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0160 loss: 0.0385 2022/08/26 08:20:59 - mmengine - INFO - Epoch(train) [257][45/63] lr: 1.0000e-05 eta: 13:00:08 time: 0.8759 data_time: 0.0318 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0185 loss: 0.0452 2022/08/26 08:21:04 - mmengine - INFO - Epoch(train) [257][50/63] lr: 1.0000e-05 eta: 12:59:29 time: 0.8778 data_time: 0.0243 memory: 25127 loss_text: 0.0321 loss_kernel: 0.0203 loss: 0.0524 2022/08/26 08:21:08 - mmengine - INFO - Epoch(train) [257][55/63] lr: 1.0000e-05 eta: 12:59:29 time: 0.8545 data_time: 0.0290 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0207 loss: 0.0525 2022/08/26 08:21:12 - mmengine - INFO - Epoch(train) [257][60/63] lr: 1.0000e-05 eta: 12:58:50 time: 0.8398 data_time: 0.0268 memory: 25127 loss_text: 0.0303 loss_kernel: 0.0200 loss: 0.0503 2022/08/26 08:21:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:22:43 - mmengine - INFO - Epoch(train) [258][5/63] lr: 1.0000e-05 eta: 12:58:50 time: 9.2375 data_time: 8.4283 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0162 loss: 0.0393 2022/08/26 08:22:48 - mmengine - INFO - Epoch(train) [258][10/63] lr: 1.0000e-05 eta: 12:59:49 time: 9.3256 data_time: 8.4569 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0191 loss: 0.0459 2022/08/26 08:22:53 - mmengine - INFO - Epoch(train) [258][15/63] lr: 1.0000e-05 eta: 12:59:49 time: 0.9673 data_time: 0.0452 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0206 loss: 0.0492 2022/08/26 08:22:57 - mmengine - INFO - Epoch(train) [258][20/63] lr: 1.0000e-05 eta: 12:59:11 time: 0.9453 data_time: 0.0197 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0204 loss: 0.0491 2022/08/26 08:23:02 - mmengine - INFO - Epoch(train) [258][25/63] lr: 1.0000e-05 eta: 12:59:11 time: 0.9010 data_time: 0.0366 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0183 loss: 0.0445 2022/08/26 08:23:06 - mmengine - INFO - Epoch(train) [258][30/63] lr: 1.0000e-05 eta: 12:58:32 time: 0.8911 data_time: 0.0288 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0153 loss: 0.0359 2022/08/26 08:23:10 - mmengine - INFO - Epoch(train) [258][35/63] lr: 1.0000e-05 eta: 12:58:32 time: 0.8850 data_time: 0.0229 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0157 loss: 0.0360 2022/08/26 08:23:15 - mmengine - INFO - Epoch(train) [258][40/63] lr: 1.0000e-05 eta: 12:57:54 time: 0.8832 data_time: 0.0308 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0186 loss: 0.0447 2022/08/26 08:23:19 - mmengine - INFO - Epoch(train) [258][45/63] lr: 1.0000e-05 eta: 12:57:54 time: 0.8654 data_time: 0.0292 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0189 loss: 0.0457 2022/08/26 08:23:24 - mmengine - INFO - Epoch(train) [258][50/63] lr: 1.0000e-05 eta: 12:57:15 time: 0.8869 data_time: 0.0352 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0202 loss: 0.0501 2022/08/26 08:23:28 - mmengine - INFO - Epoch(train) [258][55/63] lr: 1.0000e-05 eta: 12:57:15 time: 0.9031 data_time: 0.0322 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0188 loss: 0.0475 2022/08/26 08:23:33 - mmengine - INFO - Epoch(train) [258][60/63] lr: 1.0000e-05 eta: 12:56:36 time: 0.8844 data_time: 0.0198 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0171 loss: 0.0423 2022/08/26 08:23:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:25:02 - mmengine - INFO - Epoch(train) [259][5/63] lr: 1.0000e-05 eta: 12:56:36 time: 9.1532 data_time: 8.3406 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0193 loss: 0.0492 2022/08/26 08:25:07 - mmengine - INFO - Epoch(train) [259][10/63] lr: 1.0000e-05 eta: 12:57:33 time: 9.1896 data_time: 8.3422 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0179 loss: 0.0444 2022/08/26 08:25:11 - mmengine - INFO - Epoch(train) [259][15/63] lr: 1.0000e-05 eta: 12:57:33 time: 0.8659 data_time: 0.0203 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0192 loss: 0.0485 2022/08/26 08:25:15 - mmengine - INFO - Epoch(train) [259][20/63] lr: 1.0000e-05 eta: 12:56:54 time: 0.8735 data_time: 0.0325 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0211 loss: 0.0541 2022/08/26 08:25:20 - mmengine - INFO - Epoch(train) [259][25/63] lr: 1.0000e-05 eta: 12:56:54 time: 0.8778 data_time: 0.0330 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0211 loss: 0.0517 2022/08/26 08:25:24 - mmengine - INFO - Epoch(train) [259][30/63] lr: 1.0000e-05 eta: 12:56:15 time: 0.8790 data_time: 0.0267 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0197 loss: 0.0469 2022/08/26 08:25:29 - mmengine - INFO - Epoch(train) [259][35/63] lr: 1.0000e-05 eta: 12:56:15 time: 0.8708 data_time: 0.0253 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0168 loss: 0.0391 2022/08/26 08:25:33 - mmengine - INFO - Epoch(train) [259][40/63] lr: 1.0000e-05 eta: 12:55:37 time: 0.9005 data_time: 0.0305 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0204 loss: 0.0511 2022/08/26 08:25:38 - mmengine - INFO - Epoch(train) [259][45/63] lr: 1.0000e-05 eta: 12:55:37 time: 0.8944 data_time: 0.0364 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0216 loss: 0.0561 2022/08/26 08:25:42 - mmengine - INFO - Epoch(train) [259][50/63] lr: 1.0000e-05 eta: 12:54:58 time: 0.8506 data_time: 0.0249 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0193 loss: 0.0495 2022/08/26 08:25:46 - mmengine - INFO - Epoch(train) [259][55/63] lr: 1.0000e-05 eta: 12:54:58 time: 0.8630 data_time: 0.0239 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0175 loss: 0.0435 2022/08/26 08:25:51 - mmengine - INFO - Epoch(train) [259][60/63] lr: 1.0000e-05 eta: 12:54:20 time: 0.8839 data_time: 0.0272 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0199 loss: 0.0505 2022/08/26 08:25:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:27:21 - mmengine - INFO - Epoch(train) [260][5/63] lr: 1.0000e-05 eta: 12:54:20 time: 9.2057 data_time: 8.3777 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0189 loss: 0.0457 2022/08/26 08:27:25 - mmengine - INFO - Epoch(train) [260][10/63] lr: 1.0000e-05 eta: 12:55:16 time: 9.2232 data_time: 8.4013 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0186 loss: 0.0462 2022/08/26 08:27:29 - mmengine - INFO - Epoch(train) [260][15/63] lr: 1.0000e-05 eta: 12:55:16 time: 0.8573 data_time: 0.0393 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0199 loss: 0.0507 2022/08/26 08:27:34 - mmengine - INFO - Epoch(train) [260][20/63] lr: 1.0000e-05 eta: 12:54:37 time: 0.8444 data_time: 0.0215 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0173 loss: 0.0422 2022/08/26 08:27:39 - mmengine - INFO - Epoch(train) [260][25/63] lr: 1.0000e-05 eta: 12:54:37 time: 0.9042 data_time: 0.0372 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0197 loss: 0.0467 2022/08/26 08:27:43 - mmengine - INFO - Epoch(train) [260][30/63] lr: 1.0000e-05 eta: 12:53:58 time: 0.8940 data_time: 0.0265 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0200 loss: 0.0474 2022/08/26 08:27:47 - mmengine - INFO - Epoch(train) [260][35/63] lr: 1.0000e-05 eta: 12:53:58 time: 0.8495 data_time: 0.0199 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0164 loss: 0.0388 2022/08/26 08:27:51 - mmengine - INFO - Epoch(train) [260][40/63] lr: 1.0000e-05 eta: 12:53:20 time: 0.8624 data_time: 0.0257 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0186 loss: 0.0466 2022/08/26 08:27:55 - mmengine - INFO - Epoch(train) [260][45/63] lr: 1.0000e-05 eta: 12:53:20 time: 0.8383 data_time: 0.0239 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0197 loss: 0.0506 2022/08/26 08:28:00 - mmengine - INFO - Epoch(train) [260][50/63] lr: 1.0000e-05 eta: 12:52:42 time: 0.9046 data_time: 0.0365 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0178 loss: 0.0437 2022/08/26 08:28:05 - mmengine - INFO - Epoch(train) [260][55/63] lr: 1.0000e-05 eta: 12:52:42 time: 0.9128 data_time: 0.0350 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0166 loss: 0.0387 2022/08/26 08:28:09 - mmengine - INFO - Epoch(train) [260][60/63] lr: 1.0000e-05 eta: 12:52:03 time: 0.8547 data_time: 0.0227 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0204 loss: 0.0458 2022/08/26 08:28:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:28:11 - mmengine - INFO - Saving checkpoint at 260 epochs 2022/08/26 08:29:45 - mmengine - INFO - Epoch(train) [261][5/63] lr: 1.0000e-05 eta: 12:52:03 time: 9.2159 data_time: 8.3948 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0188 loss: 0.0399 2022/08/26 08:29:50 - mmengine - INFO - Epoch(train) [261][10/63] lr: 1.0000e-05 eta: 12:52:59 time: 9.2826 data_time: 8.4136 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0174 loss: 0.0406 2022/08/26 08:29:54 - mmengine - INFO - Epoch(train) [261][15/63] lr: 1.0000e-05 eta: 12:52:59 time: 0.9173 data_time: 0.0324 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0159 loss: 0.0385 2022/08/26 08:29:59 - mmengine - INFO - Epoch(train) [261][20/63] lr: 1.0000e-05 eta: 12:52:21 time: 0.8938 data_time: 0.0226 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0174 loss: 0.0427 2022/08/26 08:30:03 - mmengine - INFO - Epoch(train) [261][25/63] lr: 1.0000e-05 eta: 12:52:21 time: 0.8589 data_time: 0.0299 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0176 loss: 0.0429 2022/08/26 08:30:07 - mmengine - INFO - Epoch(train) [261][30/63] lr: 1.0000e-05 eta: 12:51:42 time: 0.8613 data_time: 0.0254 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0152 loss: 0.0358 2022/08/26 08:30:12 - mmengine - INFO - Epoch(train) [261][35/63] lr: 1.0000e-05 eta: 12:51:42 time: 0.8869 data_time: 0.0260 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0182 loss: 0.0440 2022/08/26 08:30:16 - mmengine - INFO - Epoch(train) [261][40/63] lr: 1.0000e-05 eta: 12:51:04 time: 0.8745 data_time: 0.0271 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0230 loss: 0.0581 2022/08/26 08:30:20 - mmengine - INFO - Epoch(train) [261][45/63] lr: 1.0000e-05 eta: 12:51:04 time: 0.8589 data_time: 0.0283 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0221 loss: 0.0566 2022/08/26 08:30:24 - mmengine - INFO - Epoch(train) [261][50/63] lr: 1.0000e-05 eta: 12:50:25 time: 0.8557 data_time: 0.0282 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0179 loss: 0.0433 2022/08/26 08:30:29 - mmengine - INFO - Epoch(train) [261][55/63] lr: 1.0000e-05 eta: 12:50:25 time: 0.8445 data_time: 0.0264 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0186 loss: 0.0425 2022/08/26 08:30:33 - mmengine - INFO - Epoch(train) [261][60/63] lr: 1.0000e-05 eta: 12:49:47 time: 0.8648 data_time: 0.0265 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0209 loss: 0.0493 2022/08/26 08:30:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:32:03 - mmengine - INFO - Epoch(train) [262][5/63] lr: 1.0000e-05 eta: 12:49:47 time: 9.1771 data_time: 8.3508 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0182 loss: 0.0441 2022/08/26 08:32:08 - mmengine - INFO - Epoch(train) [262][10/63] lr: 1.0000e-05 eta: 12:50:42 time: 9.2232 data_time: 8.3710 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0185 loss: 0.0448 2022/08/26 08:32:12 - mmengine - INFO - Epoch(train) [262][15/63] lr: 1.0000e-05 eta: 12:50:42 time: 0.9029 data_time: 0.0390 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0168 loss: 0.0397 2022/08/26 08:32:16 - mmengine - INFO - Epoch(train) [262][20/63] lr: 1.0000e-05 eta: 12:50:04 time: 0.8876 data_time: 0.0218 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0181 loss: 0.0445 2022/08/26 08:32:21 - mmengine - INFO - Epoch(train) [262][25/63] lr: 1.0000e-05 eta: 12:50:04 time: 0.8948 data_time: 0.0451 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0191 loss: 0.0449 2022/08/26 08:32:26 - mmengine - INFO - Epoch(train) [262][30/63] lr: 1.0000e-05 eta: 12:49:26 time: 0.9094 data_time: 0.0431 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0173 loss: 0.0392 2022/08/26 08:32:30 - mmengine - INFO - Epoch(train) [262][35/63] lr: 1.0000e-05 eta: 12:49:26 time: 0.8683 data_time: 0.0278 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0176 loss: 0.0432 2022/08/26 08:32:34 - mmengine - INFO - Epoch(train) [262][40/63] lr: 1.0000e-05 eta: 12:48:47 time: 0.8714 data_time: 0.0282 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0195 loss: 0.0493 2022/08/26 08:32:39 - mmengine - INFO - Epoch(train) [262][45/63] lr: 1.0000e-05 eta: 12:48:47 time: 0.8898 data_time: 0.0264 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0212 loss: 0.0552 2022/08/26 08:32:43 - mmengine - INFO - Epoch(train) [262][50/63] lr: 1.0000e-05 eta: 12:48:09 time: 0.8784 data_time: 0.0317 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0194 loss: 0.0491 2022/08/26 08:32:47 - mmengine - INFO - Epoch(train) [262][55/63] lr: 1.0000e-05 eta: 12:48:09 time: 0.8588 data_time: 0.0301 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0169 loss: 0.0394 2022/08/26 08:32:51 - mmengine - INFO - Epoch(train) [262][60/63] lr: 1.0000e-05 eta: 12:47:30 time: 0.8402 data_time: 0.0227 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0203 loss: 0.0491 2022/08/26 08:32:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:34:23 - mmengine - INFO - Epoch(train) [263][5/63] lr: 1.0000e-05 eta: 12:47:30 time: 9.2921 data_time: 8.4936 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0187 loss: 0.0447 2022/08/26 08:34:27 - mmengine - INFO - Epoch(train) [263][10/63] lr: 1.0000e-05 eta: 12:48:26 time: 9.3537 data_time: 8.5101 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0177 loss: 0.0425 2022/08/26 08:34:31 - mmengine - INFO - Epoch(train) [263][15/63] lr: 1.0000e-05 eta: 12:48:26 time: 0.8582 data_time: 0.0272 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0152 loss: 0.0367 2022/08/26 08:34:36 - mmengine - INFO - Epoch(train) [263][20/63] lr: 1.0000e-05 eta: 12:47:47 time: 0.8176 data_time: 0.0245 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0172 loss: 0.0417 2022/08/26 08:34:40 - mmengine - INFO - Epoch(train) [263][25/63] lr: 1.0000e-05 eta: 12:47:47 time: 0.8581 data_time: 0.0295 memory: 25127 loss_text: 0.0319 loss_kernel: 0.0211 loss: 0.0531 2022/08/26 08:34:44 - mmengine - INFO - Epoch(train) [263][30/63] lr: 1.0000e-05 eta: 12:47:09 time: 0.8783 data_time: 0.0265 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0209 loss: 0.0538 2022/08/26 08:34:49 - mmengine - INFO - Epoch(train) [263][35/63] lr: 1.0000e-05 eta: 12:47:09 time: 0.8808 data_time: 0.0383 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0181 loss: 0.0440 2022/08/26 08:34:53 - mmengine - INFO - Epoch(train) [263][40/63] lr: 1.0000e-05 eta: 12:46:31 time: 0.8869 data_time: 0.0296 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0170 loss: 0.0399 2022/08/26 08:34:57 - mmengine - INFO - Epoch(train) [263][45/63] lr: 1.0000e-05 eta: 12:46:31 time: 0.8650 data_time: 0.0248 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0171 loss: 0.0412 2022/08/26 08:35:02 - mmengine - INFO - Epoch(train) [263][50/63] lr: 1.0000e-05 eta: 12:45:53 time: 0.8681 data_time: 0.0328 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0173 loss: 0.0414 2022/08/26 08:35:06 - mmengine - INFO - Epoch(train) [263][55/63] lr: 1.0000e-05 eta: 12:45:53 time: 0.8664 data_time: 0.0258 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0189 loss: 0.0466 2022/08/26 08:35:10 - mmengine - INFO - Epoch(train) [263][60/63] lr: 1.0000e-05 eta: 12:45:15 time: 0.8540 data_time: 0.0186 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0190 loss: 0.0465 2022/08/26 08:35:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:36:42 - mmengine - INFO - Epoch(train) [264][5/63] lr: 1.0000e-05 eta: 12:45:15 time: 9.2724 data_time: 8.4883 memory: 25127 loss_text: 0.0311 loss_kernel: 0.0209 loss: 0.0520 2022/08/26 08:36:46 - mmengine - INFO - Epoch(train) [264][10/63] lr: 1.0000e-05 eta: 12:46:10 time: 9.3305 data_time: 8.5088 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0165 loss: 0.0390 2022/08/26 08:36:50 - mmengine - INFO - Epoch(train) [264][15/63] lr: 1.0000e-05 eta: 12:46:10 time: 0.8411 data_time: 0.0297 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0162 loss: 0.0386 2022/08/26 08:36:54 - mmengine - INFO - Epoch(train) [264][20/63] lr: 1.0000e-05 eta: 12:45:31 time: 0.8425 data_time: 0.0232 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0161 loss: 0.0384 2022/08/26 08:36:59 - mmengine - INFO - Epoch(train) [264][25/63] lr: 1.0000e-05 eta: 12:45:31 time: 0.8667 data_time: 0.0421 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0150 loss: 0.0350 2022/08/26 08:37:03 - mmengine - INFO - Epoch(train) [264][30/63] lr: 1.0000e-05 eta: 12:44:53 time: 0.8301 data_time: 0.0267 memory: 25127 loss_text: 0.0199 loss_kernel: 0.0150 loss: 0.0349 2022/08/26 08:37:07 - mmengine - INFO - Epoch(train) [264][35/63] lr: 1.0000e-05 eta: 12:44:53 time: 0.8116 data_time: 0.0190 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0170 loss: 0.0417 2022/08/26 08:37:11 - mmengine - INFO - Epoch(train) [264][40/63] lr: 1.0000e-05 eta: 12:44:14 time: 0.8322 data_time: 0.0272 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0191 loss: 0.0463 2022/08/26 08:37:15 - mmengine - INFO - Epoch(train) [264][45/63] lr: 1.0000e-05 eta: 12:44:14 time: 0.8387 data_time: 0.0255 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0202 loss: 0.0490 2022/08/26 08:37:20 - mmengine - INFO - Epoch(train) [264][50/63] lr: 1.0000e-05 eta: 12:43:36 time: 0.8618 data_time: 0.0439 memory: 25127 loss_text: 0.0311 loss_kernel: 0.0202 loss: 0.0513 2022/08/26 08:37:24 - mmengine - INFO - Epoch(train) [264][55/63] lr: 1.0000e-05 eta: 12:43:36 time: 0.8510 data_time: 0.0395 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0191 loss: 0.0492 2022/08/26 08:37:28 - mmengine - INFO - Epoch(train) [264][60/63] lr: 1.0000e-05 eta: 12:42:57 time: 0.8274 data_time: 0.0193 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0179 loss: 0.0439 2022/08/26 08:37:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:38:57 - mmengine - INFO - Epoch(train) [265][5/63] lr: 1.0000e-05 eta: 12:42:57 time: 9.0364 data_time: 8.2526 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0186 loss: 0.0459 2022/08/26 08:39:01 - mmengine - INFO - Epoch(train) [265][10/63] lr: 1.0000e-05 eta: 12:43:49 time: 9.0958 data_time: 8.2634 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0159 loss: 0.0369 2022/08/26 08:39:05 - mmengine - INFO - Epoch(train) [265][15/63] lr: 1.0000e-05 eta: 12:43:49 time: 0.8715 data_time: 0.0303 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0158 loss: 0.0373 2022/08/26 08:39:10 - mmengine - INFO - Epoch(train) [265][20/63] lr: 1.0000e-05 eta: 12:43:11 time: 0.8771 data_time: 0.0394 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0195 loss: 0.0487 2022/08/26 08:39:14 - mmengine - INFO - Epoch(train) [265][25/63] lr: 1.0000e-05 eta: 12:43:11 time: 0.8610 data_time: 0.0430 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0196 loss: 0.0490 2022/08/26 08:39:19 - mmengine - INFO - Epoch(train) [265][30/63] lr: 1.0000e-05 eta: 12:42:33 time: 0.8749 data_time: 0.0291 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0156 loss: 0.0372 2022/08/26 08:39:23 - mmengine - INFO - Epoch(train) [265][35/63] lr: 1.0000e-05 eta: 12:42:33 time: 0.8962 data_time: 0.0316 memory: 25127 loss_text: 0.0213 loss_kernel: 0.0159 loss: 0.0371 2022/08/26 08:39:27 - mmengine - INFO - Epoch(train) [265][40/63] lr: 1.0000e-05 eta: 12:41:55 time: 0.8786 data_time: 0.0271 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0169 loss: 0.0381 2022/08/26 08:39:32 - mmengine - INFO - Epoch(train) [265][45/63] lr: 1.0000e-05 eta: 12:41:55 time: 0.8704 data_time: 0.0340 memory: 25127 loss_text: 0.0214 loss_kernel: 0.0177 loss: 0.0391 2022/08/26 08:39:36 - mmengine - INFO - Epoch(train) [265][50/63] lr: 1.0000e-05 eta: 12:41:17 time: 0.8841 data_time: 0.0374 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0174 loss: 0.0389 2022/08/26 08:39:41 - mmengine - INFO - Epoch(train) [265][55/63] lr: 1.0000e-05 eta: 12:41:17 time: 0.8776 data_time: 0.0304 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0183 loss: 0.0439 2022/08/26 08:39:45 - mmengine - INFO - Epoch(train) [265][60/63] lr: 1.0000e-05 eta: 12:40:39 time: 0.8666 data_time: 0.0274 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0186 loss: 0.0435 2022/08/26 08:39:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:41:15 - mmengine - INFO - Epoch(train) [266][5/63] lr: 1.0000e-05 eta: 12:40:39 time: 9.2100 data_time: 8.3998 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0182 loss: 0.0439 2022/08/26 08:41:20 - mmengine - INFO - Epoch(train) [266][10/63] lr: 1.0000e-05 eta: 12:41:32 time: 9.2447 data_time: 8.4093 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0176 loss: 0.0431 2022/08/26 08:41:24 - mmengine - INFO - Epoch(train) [266][15/63] lr: 1.0000e-05 eta: 12:41:32 time: 0.8712 data_time: 0.0345 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0156 loss: 0.0380 2022/08/26 08:41:28 - mmengine - INFO - Epoch(train) [266][20/63] lr: 1.0000e-05 eta: 12:40:54 time: 0.8819 data_time: 0.0350 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0180 loss: 0.0449 2022/08/26 08:41:33 - mmengine - INFO - Epoch(train) [266][25/63] lr: 1.0000e-05 eta: 12:40:54 time: 0.8725 data_time: 0.0340 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0188 loss: 0.0452 2022/08/26 08:41:37 - mmengine - INFO - Epoch(train) [266][30/63] lr: 1.0000e-05 eta: 12:40:16 time: 0.8743 data_time: 0.0282 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0162 loss: 0.0379 2022/08/26 08:41:42 - mmengine - INFO - Epoch(train) [266][35/63] lr: 1.0000e-05 eta: 12:40:16 time: 0.8771 data_time: 0.0282 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0163 loss: 0.0375 2022/08/26 08:41:46 - mmengine - INFO - Epoch(train) [266][40/63] lr: 1.0000e-05 eta: 12:39:38 time: 0.8632 data_time: 0.0290 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0176 loss: 0.0399 2022/08/26 08:41:50 - mmengine - INFO - Epoch(train) [266][45/63] lr: 1.0000e-05 eta: 12:39:38 time: 0.8538 data_time: 0.0286 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0170 loss: 0.0387 2022/08/26 08:41:54 - mmengine - INFO - Epoch(train) [266][50/63] lr: 1.0000e-05 eta: 12:39:00 time: 0.8498 data_time: 0.0320 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0169 loss: 0.0390 2022/08/26 08:41:59 - mmengine - INFO - Epoch(train) [266][55/63] lr: 1.0000e-05 eta: 12:39:00 time: 0.8626 data_time: 0.0301 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0197 loss: 0.0510 2022/08/26 08:42:03 - mmengine - INFO - Epoch(train) [266][60/63] lr: 1.0000e-05 eta: 12:38:22 time: 0.8641 data_time: 0.0271 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0211 loss: 0.0571 2022/08/26 08:42:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:43:32 - mmengine - INFO - Epoch(train) [267][5/63] lr: 1.0000e-05 eta: 12:38:22 time: 9.0272 data_time: 8.2056 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0170 loss: 0.0425 2022/08/26 08:43:36 - mmengine - INFO - Epoch(train) [267][10/63] lr: 1.0000e-05 eta: 12:39:13 time: 9.0805 data_time: 8.2237 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0161 loss: 0.0368 2022/08/26 08:43:40 - mmengine - INFO - Epoch(train) [267][15/63] lr: 1.0000e-05 eta: 12:39:13 time: 0.8333 data_time: 0.0321 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0159 loss: 0.0369 2022/08/26 08:43:44 - mmengine - INFO - Epoch(train) [267][20/63] lr: 1.0000e-05 eta: 12:38:34 time: 0.8184 data_time: 0.0194 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0159 loss: 0.0370 2022/08/26 08:43:49 - mmengine - INFO - Epoch(train) [267][25/63] lr: 1.0000e-05 eta: 12:38:34 time: 0.8725 data_time: 0.0316 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0173 loss: 0.0417 2022/08/26 08:43:53 - mmengine - INFO - Epoch(train) [267][30/63] lr: 1.0000e-05 eta: 12:37:57 time: 0.8881 data_time: 0.0339 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0162 loss: 0.0396 2022/08/26 08:43:57 - mmengine - INFO - Epoch(train) [267][35/63] lr: 1.0000e-05 eta: 12:37:57 time: 0.8429 data_time: 0.0298 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0171 loss: 0.0413 2022/08/26 08:44:01 - mmengine - INFO - Epoch(train) [267][40/63] lr: 1.0000e-05 eta: 12:37:18 time: 0.8328 data_time: 0.0304 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0176 loss: 0.0425 2022/08/26 08:44:05 - mmengine - INFO - Epoch(train) [267][45/63] lr: 1.0000e-05 eta: 12:37:18 time: 0.8391 data_time: 0.0312 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0167 loss: 0.0400 2022/08/26 08:44:10 - mmengine - INFO - Epoch(train) [267][50/63] lr: 1.0000e-05 eta: 12:36:41 time: 0.9039 data_time: 0.0260 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0184 loss: 0.0419 2022/08/26 08:44:14 - mmengine - INFO - Epoch(train) [267][55/63] lr: 1.0000e-05 eta: 12:36:41 time: 0.8992 data_time: 0.0232 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0194 loss: 0.0462 2022/08/26 08:44:19 - mmengine - INFO - Epoch(train) [267][60/63] lr: 1.0000e-05 eta: 12:36:03 time: 0.8329 data_time: 0.0252 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0188 loss: 0.0460 2022/08/26 08:44:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:45:49 - mmengine - INFO - Epoch(train) [268][5/63] lr: 1.0000e-05 eta: 12:36:03 time: 9.1973 data_time: 8.3927 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0174 loss: 0.0430 2022/08/26 08:45:54 - mmengine - INFO - Epoch(train) [268][10/63] lr: 1.0000e-05 eta: 12:36:55 time: 9.2969 data_time: 8.4499 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0179 loss: 0.0436 2022/08/26 08:45:58 - mmengine - INFO - Epoch(train) [268][15/63] lr: 1.0000e-05 eta: 12:36:55 time: 0.9294 data_time: 0.0788 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0166 loss: 0.0378 2022/08/26 08:46:03 - mmengine - INFO - Epoch(train) [268][20/63] lr: 1.0000e-05 eta: 12:36:18 time: 0.8767 data_time: 0.0287 memory: 25127 loss_text: 0.0213 loss_kernel: 0.0166 loss: 0.0379 2022/08/26 08:46:07 - mmengine - INFO - Epoch(train) [268][25/63] lr: 1.0000e-05 eta: 12:36:18 time: 0.8739 data_time: 0.0477 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0181 loss: 0.0444 2022/08/26 08:46:12 - mmengine - INFO - Epoch(train) [268][30/63] lr: 1.0000e-05 eta: 12:35:40 time: 0.8952 data_time: 0.0551 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0182 loss: 0.0457 2022/08/26 08:46:16 - mmengine - INFO - Epoch(train) [268][35/63] lr: 1.0000e-05 eta: 12:35:40 time: 0.9072 data_time: 0.0571 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0167 loss: 0.0397 2022/08/26 08:46:21 - mmengine - INFO - Epoch(train) [268][40/63] lr: 1.0000e-05 eta: 12:35:03 time: 0.8984 data_time: 0.0391 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0166 loss: 0.0383 2022/08/26 08:46:25 - mmengine - INFO - Epoch(train) [268][45/63] lr: 1.0000e-05 eta: 12:35:03 time: 0.9206 data_time: 0.0665 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0171 loss: 0.0400 2022/08/26 08:46:30 - mmengine - INFO - Epoch(train) [268][50/63] lr: 1.0000e-05 eta: 12:34:26 time: 0.9202 data_time: 0.0699 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0179 loss: 0.0443 2022/08/26 08:46:34 - mmengine - INFO - Epoch(train) [268][55/63] lr: 1.0000e-05 eta: 12:34:26 time: 0.8685 data_time: 0.0268 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0179 loss: 0.0437 2022/08/26 08:46:39 - mmengine - INFO - Epoch(train) [268][60/63] lr: 1.0000e-05 eta: 12:33:48 time: 0.8737 data_time: 0.0284 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0191 loss: 0.0455 2022/08/26 08:46:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:48:08 - mmengine - INFO - Epoch(train) [269][5/63] lr: 1.0000e-05 eta: 12:33:48 time: 9.1611 data_time: 8.3521 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0200 loss: 0.0505 2022/08/26 08:48:13 - mmengine - INFO - Epoch(train) [269][10/63] lr: 1.0000e-05 eta: 12:34:40 time: 9.2274 data_time: 8.3913 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0218 loss: 0.0558 2022/08/26 08:48:17 - mmengine - INFO - Epoch(train) [269][15/63] lr: 1.0000e-05 eta: 12:34:40 time: 0.8988 data_time: 0.0554 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0195 loss: 0.0487 2022/08/26 08:48:22 - mmengine - INFO - Epoch(train) [269][20/63] lr: 1.0000e-05 eta: 12:34:02 time: 0.8671 data_time: 0.0201 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0179 loss: 0.0444 2022/08/26 08:48:26 - mmengine - INFO - Epoch(train) [269][25/63] lr: 1.0000e-05 eta: 12:34:02 time: 0.8572 data_time: 0.0357 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0193 loss: 0.0463 2022/08/26 08:48:30 - mmengine - INFO - Epoch(train) [269][30/63] lr: 1.0000e-05 eta: 12:33:24 time: 0.8666 data_time: 0.0302 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0177 loss: 0.0396 2022/08/26 08:48:35 - mmengine - INFO - Epoch(train) [269][35/63] lr: 1.0000e-05 eta: 12:33:24 time: 0.8674 data_time: 0.0206 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0172 loss: 0.0396 2022/08/26 08:48:39 - mmengine - INFO - Epoch(train) [269][40/63] lr: 1.0000e-05 eta: 12:32:46 time: 0.8559 data_time: 0.0256 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0170 loss: 0.0393 2022/08/26 08:48:43 - mmengine - INFO - Epoch(train) [269][45/63] lr: 1.0000e-05 eta: 12:32:46 time: 0.8536 data_time: 0.0277 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0168 loss: 0.0400 2022/08/26 08:48:48 - mmengine - INFO - Epoch(train) [269][50/63] lr: 1.0000e-05 eta: 12:32:09 time: 0.8528 data_time: 0.0328 memory: 25127 loss_text: 0.0320 loss_kernel: 0.0216 loss: 0.0537 2022/08/26 08:48:52 - mmengine - INFO - Epoch(train) [269][55/63] lr: 1.0000e-05 eta: 12:32:09 time: 0.8508 data_time: 0.0298 memory: 25127 loss_text: 0.0347 loss_kernel: 0.0223 loss: 0.0570 2022/08/26 08:48:56 - mmengine - INFO - Epoch(train) [269][60/63] lr: 1.0000e-05 eta: 12:31:31 time: 0.8568 data_time: 0.0209 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0175 loss: 0.0432 2022/08/26 08:48:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:50:29 - mmengine - INFO - Epoch(train) [270][5/63] lr: 1.0000e-05 eta: 12:31:31 time: 9.4273 data_time: 8.6318 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0183 loss: 0.0459 2022/08/26 08:50:33 - mmengine - INFO - Epoch(train) [270][10/63] lr: 1.0000e-05 eta: 12:32:25 time: 9.4876 data_time: 8.6541 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0186 loss: 0.0462 2022/08/26 08:50:37 - mmengine - INFO - Epoch(train) [270][15/63] lr: 1.0000e-05 eta: 12:32:25 time: 0.8524 data_time: 0.0329 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0172 loss: 0.0398 2022/08/26 08:50:42 - mmengine - INFO - Epoch(train) [270][20/63] lr: 1.0000e-05 eta: 12:31:48 time: 0.9136 data_time: 0.0363 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0177 loss: 0.0394 2022/08/26 08:50:47 - mmengine - INFO - Epoch(train) [270][25/63] lr: 1.0000e-05 eta: 12:31:48 time: 0.9341 data_time: 0.0512 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0169 loss: 0.0388 2022/08/26 08:50:51 - mmengine - INFO - Epoch(train) [270][30/63] lr: 1.0000e-05 eta: 12:31:10 time: 0.8698 data_time: 0.0280 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0173 loss: 0.0429 2022/08/26 08:50:55 - mmengine - INFO - Epoch(train) [270][35/63] lr: 1.0000e-05 eta: 12:31:10 time: 0.8724 data_time: 0.0304 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0178 loss: 0.0433 2022/08/26 08:51:00 - mmengine - INFO - Epoch(train) [270][40/63] lr: 1.0000e-05 eta: 12:30:33 time: 0.8617 data_time: 0.0326 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0165 loss: 0.0377 2022/08/26 08:51:04 - mmengine - INFO - Epoch(train) [270][45/63] lr: 1.0000e-05 eta: 12:30:33 time: 0.8507 data_time: 0.0260 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0164 loss: 0.0380 2022/08/26 08:51:08 - mmengine - INFO - Epoch(train) [270][50/63] lr: 1.0000e-05 eta: 12:29:55 time: 0.8568 data_time: 0.0295 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0164 loss: 0.0389 2022/08/26 08:51:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:51:13 - mmengine - INFO - Epoch(train) [270][55/63] lr: 1.0000e-05 eta: 12:29:55 time: 0.8758 data_time: 0.0256 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0206 loss: 0.0522 2022/08/26 08:51:17 - mmengine - INFO - Epoch(train) [270][60/63] lr: 1.0000e-05 eta: 12:29:18 time: 0.8738 data_time: 0.0206 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0220 loss: 0.0563 2022/08/26 08:51:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:52:48 - mmengine - INFO - Epoch(train) [271][5/63] lr: 1.0000e-05 eta: 12:29:18 time: 9.2377 data_time: 8.4215 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0176 loss: 0.0422 2022/08/26 08:52:52 - mmengine - INFO - Epoch(train) [271][10/63] lr: 1.0000e-05 eta: 12:30:08 time: 9.2660 data_time: 8.4335 memory: 25127 loss_text: 0.0204 loss_kernel: 0.0160 loss: 0.0365 2022/08/26 08:52:57 - mmengine - INFO - Epoch(train) [271][15/63] lr: 1.0000e-05 eta: 12:30:08 time: 0.8789 data_time: 0.0282 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0168 loss: 0.0412 2022/08/26 08:53:01 - mmengine - INFO - Epoch(train) [271][20/63] lr: 1.0000e-05 eta: 12:29:31 time: 0.8915 data_time: 0.0280 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0166 loss: 0.0412 2022/08/26 08:53:05 - mmengine - INFO - Epoch(train) [271][25/63] lr: 1.0000e-05 eta: 12:29:31 time: 0.8795 data_time: 0.0362 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0158 loss: 0.0378 2022/08/26 08:53:10 - mmengine - INFO - Epoch(train) [271][30/63] lr: 1.0000e-05 eta: 12:28:54 time: 0.8746 data_time: 0.0260 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0202 loss: 0.0512 2022/08/26 08:53:14 - mmengine - INFO - Epoch(train) [271][35/63] lr: 1.0000e-05 eta: 12:28:54 time: 0.8527 data_time: 0.0241 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0199 loss: 0.0494 2022/08/26 08:53:18 - mmengine - INFO - Epoch(train) [271][40/63] lr: 1.0000e-05 eta: 12:28:16 time: 0.8368 data_time: 0.0279 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0163 loss: 0.0378 2022/08/26 08:53:23 - mmengine - INFO - Epoch(train) [271][45/63] lr: 1.0000e-05 eta: 12:28:16 time: 0.8869 data_time: 0.0288 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0211 loss: 0.0503 2022/08/26 08:53:27 - mmengine - INFO - Epoch(train) [271][50/63] lr: 1.0000e-05 eta: 12:27:39 time: 0.8782 data_time: 0.0310 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0204 loss: 0.0489 2022/08/26 08:53:31 - mmengine - INFO - Epoch(train) [271][55/63] lr: 1.0000e-05 eta: 12:27:39 time: 0.8160 data_time: 0.0257 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0168 loss: 0.0401 2022/08/26 08:53:35 - mmengine - INFO - Epoch(train) [271][60/63] lr: 1.0000e-05 eta: 12:27:01 time: 0.8177 data_time: 0.0225 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0172 loss: 0.0403 2022/08/26 08:53:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:55:07 - mmengine - INFO - Epoch(train) [272][5/63] lr: 1.0000e-05 eta: 12:27:01 time: 9.3101 data_time: 8.5107 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0194 loss: 0.0462 2022/08/26 08:55:11 - mmengine - INFO - Epoch(train) [272][10/63] lr: 1.0000e-05 eta: 12:27:52 time: 9.3913 data_time: 8.5308 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0181 loss: 0.0440 2022/08/26 08:55:15 - mmengine - INFO - Epoch(train) [272][15/63] lr: 1.0000e-05 eta: 12:27:52 time: 0.8723 data_time: 0.0328 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0158 loss: 0.0370 2022/08/26 08:55:20 - mmengine - INFO - Epoch(train) [272][20/63] lr: 1.0000e-05 eta: 12:27:15 time: 0.8478 data_time: 0.0214 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0160 loss: 0.0368 2022/08/26 08:55:24 - mmengine - INFO - Epoch(train) [272][25/63] lr: 1.0000e-05 eta: 12:27:15 time: 0.8680 data_time: 0.0439 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0169 loss: 0.0385 2022/08/26 08:55:28 - mmengine - INFO - Epoch(train) [272][30/63] lr: 1.0000e-05 eta: 12:26:37 time: 0.8618 data_time: 0.0355 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0161 loss: 0.0376 2022/08/26 08:55:32 - mmengine - INFO - Epoch(train) [272][35/63] lr: 1.0000e-05 eta: 12:26:37 time: 0.8506 data_time: 0.0221 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0153 loss: 0.0360 2022/08/26 08:55:37 - mmengine - INFO - Epoch(train) [272][40/63] lr: 1.0000e-05 eta: 12:26:00 time: 0.8617 data_time: 0.0303 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0202 loss: 0.0498 2022/08/26 08:55:41 - mmengine - INFO - Epoch(train) [272][45/63] lr: 1.0000e-05 eta: 12:26:00 time: 0.8780 data_time: 0.0300 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0208 loss: 0.0502 2022/08/26 08:55:45 - mmengine - INFO - Epoch(train) [272][50/63] lr: 1.0000e-05 eta: 12:25:23 time: 0.8676 data_time: 0.0318 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0164 loss: 0.0373 2022/08/26 08:55:50 - mmengine - INFO - Epoch(train) [272][55/63] lr: 1.0000e-05 eta: 12:25:23 time: 0.8925 data_time: 0.0304 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0189 loss: 0.0475 2022/08/26 08:55:54 - mmengine - INFO - Epoch(train) [272][60/63] lr: 1.0000e-05 eta: 12:24:46 time: 0.8914 data_time: 0.0221 memory: 25127 loss_text: 0.0349 loss_kernel: 0.0220 loss: 0.0569 2022/08/26 08:55:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:57:25 - mmengine - INFO - Epoch(train) [273][5/63] lr: 1.0000e-05 eta: 12:24:46 time: 9.1695 data_time: 8.3794 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0218 loss: 0.0560 2022/08/26 08:57:29 - mmengine - INFO - Epoch(train) [273][10/63] lr: 1.0000e-05 eta: 12:25:35 time: 9.2163 data_time: 8.3950 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0181 loss: 0.0437 2022/08/26 08:57:33 - mmengine - INFO - Epoch(train) [273][15/63] lr: 1.0000e-05 eta: 12:25:35 time: 0.8499 data_time: 0.0372 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0206 loss: 0.0470 2022/08/26 08:57:37 - mmengine - INFO - Epoch(train) [273][20/63] lr: 1.0000e-05 eta: 12:24:57 time: 0.8406 data_time: 0.0290 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0188 loss: 0.0432 2022/08/26 08:57:42 - mmengine - INFO - Epoch(train) [273][25/63] lr: 1.0000e-05 eta: 12:24:57 time: 0.8478 data_time: 0.0316 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0163 loss: 0.0403 2022/08/26 08:57:46 - mmengine - INFO - Epoch(train) [273][30/63] lr: 1.0000e-05 eta: 12:24:20 time: 0.8671 data_time: 0.0356 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0158 loss: 0.0378 2022/08/26 08:57:50 - mmengine - INFO - Epoch(train) [273][35/63] lr: 1.0000e-05 eta: 12:24:20 time: 0.8802 data_time: 0.0308 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0171 loss: 0.0406 2022/08/26 08:57:55 - mmengine - INFO - Epoch(train) [273][40/63] lr: 1.0000e-05 eta: 12:23:43 time: 0.8781 data_time: 0.0305 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0208 loss: 0.0524 2022/08/26 08:57:59 - mmengine - INFO - Epoch(train) [273][45/63] lr: 1.0000e-05 eta: 12:23:43 time: 0.8955 data_time: 0.0340 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0191 loss: 0.0493 2022/08/26 08:58:04 - mmengine - INFO - Epoch(train) [273][50/63] lr: 1.0000e-05 eta: 12:23:06 time: 0.9346 data_time: 0.0358 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0177 loss: 0.0439 2022/08/26 08:58:08 - mmengine - INFO - Epoch(train) [273][55/63] lr: 1.0000e-05 eta: 12:23:06 time: 0.8952 data_time: 0.0333 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0179 loss: 0.0433 2022/08/26 08:58:13 - mmengine - INFO - Epoch(train) [273][60/63] lr: 1.0000e-05 eta: 12:22:29 time: 0.8534 data_time: 0.0226 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0180 loss: 0.0439 2022/08/26 08:58:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 08:59:43 - mmengine - INFO - Epoch(train) [274][5/63] lr: 1.0000e-05 eta: 12:22:29 time: 9.1530 data_time: 8.3523 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0156 loss: 0.0367 2022/08/26 08:59:47 - mmengine - INFO - Epoch(train) [274][10/63] lr: 1.0000e-05 eta: 12:23:17 time: 9.1987 data_time: 8.3682 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0187 loss: 0.0470 2022/08/26 08:59:51 - mmengine - INFO - Epoch(train) [274][15/63] lr: 1.0000e-05 eta: 12:23:17 time: 0.8421 data_time: 0.0338 memory: 25127 loss_text: 0.0409 loss_kernel: 0.0237 loss: 0.0646 2022/08/26 08:59:55 - mmengine - INFO - Epoch(train) [274][20/63] lr: 1.0000e-05 eta: 12:22:40 time: 0.8242 data_time: 0.0263 memory: 25127 loss_text: 0.0425 loss_kernel: 0.0255 loss: 0.0681 2022/08/26 08:59:59 - mmengine - INFO - Epoch(train) [274][25/63] lr: 1.0000e-05 eta: 12:22:40 time: 0.8455 data_time: 0.0413 memory: 25127 loss_text: 0.0349 loss_kernel: 0.0231 loss: 0.0580 2022/08/26 09:00:04 - mmengine - INFO - Epoch(train) [274][30/63] lr: 1.0000e-05 eta: 12:22:02 time: 0.8570 data_time: 0.0306 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0198 loss: 0.0480 2022/08/26 09:00:08 - mmengine - INFO - Epoch(train) [274][35/63] lr: 1.0000e-05 eta: 12:22:02 time: 0.8488 data_time: 0.0238 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0170 loss: 0.0399 2022/08/26 09:00:12 - mmengine - INFO - Epoch(train) [274][40/63] lr: 1.0000e-05 eta: 12:21:25 time: 0.8490 data_time: 0.0338 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0161 loss: 0.0384 2022/08/26 09:00:16 - mmengine - INFO - Epoch(train) [274][45/63] lr: 1.0000e-05 eta: 12:21:25 time: 0.8461 data_time: 0.0344 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0185 loss: 0.0449 2022/08/26 09:00:21 - mmengine - INFO - Epoch(train) [274][50/63] lr: 1.0000e-05 eta: 12:20:48 time: 0.8484 data_time: 0.0342 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0186 loss: 0.0436 2022/08/26 09:00:25 - mmengine - INFO - Epoch(train) [274][55/63] lr: 1.0000e-05 eta: 12:20:48 time: 0.8455 data_time: 0.0291 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0185 loss: 0.0450 2022/08/26 09:00:29 - mmengine - INFO - Epoch(train) [274][60/63] lr: 1.0000e-05 eta: 12:20:10 time: 0.8407 data_time: 0.0210 memory: 25127 loss_text: 0.0357 loss_kernel: 0.0222 loss: 0.0578 2022/08/26 09:00:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:01:59 - mmengine - INFO - Epoch(train) [275][5/63] lr: 1.0000e-05 eta: 12:20:10 time: 9.1624 data_time: 8.3404 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0168 loss: 0.0411 2022/08/26 09:02:04 - mmengine - INFO - Epoch(train) [275][10/63] lr: 1.0000e-05 eta: 12:20:58 time: 9.2072 data_time: 8.3520 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0157 loss: 0.0392 2022/08/26 09:02:08 - mmengine - INFO - Epoch(train) [275][15/63] lr: 1.0000e-05 eta: 12:20:58 time: 0.8664 data_time: 0.0322 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0161 loss: 0.0403 2022/08/26 09:02:12 - mmengine - INFO - Epoch(train) [275][20/63] lr: 1.0000e-05 eta: 12:20:21 time: 0.8663 data_time: 0.0431 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0218 loss: 0.0567 2022/08/26 09:02:17 - mmengine - INFO - Epoch(train) [275][25/63] lr: 1.0000e-05 eta: 12:20:21 time: 0.8990 data_time: 0.0448 memory: 25127 loss_text: 0.0358 loss_kernel: 0.0220 loss: 0.0578 2022/08/26 09:02:21 - mmengine - INFO - Epoch(train) [275][30/63] lr: 1.0000e-05 eta: 12:19:44 time: 0.8879 data_time: 0.0315 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0193 loss: 0.0494 2022/08/26 09:02:26 - mmengine - INFO - Epoch(train) [275][35/63] lr: 1.0000e-05 eta: 12:19:44 time: 0.8675 data_time: 0.0313 memory: 25127 loss_text: 0.0342 loss_kernel: 0.0209 loss: 0.0551 2022/08/26 09:02:30 - mmengine - INFO - Epoch(train) [275][40/63] lr: 1.0000e-05 eta: 12:19:08 time: 0.9250 data_time: 0.0530 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0198 loss: 0.0507 2022/08/26 09:02:35 - mmengine - INFO - Epoch(train) [275][45/63] lr: 1.0000e-05 eta: 12:19:08 time: 0.9148 data_time: 0.0540 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0181 loss: 0.0436 2022/08/26 09:02:39 - mmengine - INFO - Epoch(train) [275][50/63] lr: 1.0000e-05 eta: 12:18:31 time: 0.8789 data_time: 0.0580 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0163 loss: 0.0387 2022/08/26 09:02:44 - mmengine - INFO - Epoch(train) [275][55/63] lr: 1.0000e-05 eta: 12:18:31 time: 0.9140 data_time: 0.0638 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0157 loss: 0.0377 2022/08/26 09:02:48 - mmengine - INFO - Epoch(train) [275][60/63] lr: 1.0000e-05 eta: 12:17:55 time: 0.8889 data_time: 0.0222 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0183 loss: 0.0440 2022/08/26 09:02:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:04:17 - mmengine - INFO - Epoch(train) [276][5/63] lr: 1.0000e-05 eta: 12:17:55 time: 9.0512 data_time: 8.2530 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0153 loss: 0.0348 2022/08/26 09:04:22 - mmengine - INFO - Epoch(train) [276][10/63] lr: 1.0000e-05 eta: 12:18:41 time: 9.1174 data_time: 8.2746 memory: 25127 loss_text: 0.0213 loss_kernel: 0.0171 loss: 0.0384 2022/08/26 09:04:26 - mmengine - INFO - Epoch(train) [276][15/63] lr: 1.0000e-05 eta: 12:18:41 time: 0.8808 data_time: 0.0391 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0189 loss: 0.0452 2022/08/26 09:04:30 - mmengine - INFO - Epoch(train) [276][20/63] lr: 1.0000e-05 eta: 12:18:04 time: 0.8668 data_time: 0.0283 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0206 loss: 0.0529 2022/08/26 09:04:35 - mmengine - INFO - Epoch(train) [276][25/63] lr: 1.0000e-05 eta: 12:18:04 time: 0.8865 data_time: 0.0445 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0203 loss: 0.0500 2022/08/26 09:04:39 - mmengine - INFO - Epoch(train) [276][30/63] lr: 1.0000e-05 eta: 12:17:27 time: 0.8901 data_time: 0.0347 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0191 loss: 0.0461 2022/08/26 09:04:44 - mmengine - INFO - Epoch(train) [276][35/63] lr: 1.0000e-05 eta: 12:17:27 time: 0.8861 data_time: 0.0215 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0180 loss: 0.0434 2022/08/26 09:04:48 - mmengine - INFO - Epoch(train) [276][40/63] lr: 1.0000e-05 eta: 12:16:51 time: 0.8906 data_time: 0.0347 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0156 loss: 0.0367 2022/08/26 09:04:52 - mmengine - INFO - Epoch(train) [276][45/63] lr: 1.0000e-05 eta: 12:16:51 time: 0.8757 data_time: 0.0377 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0155 loss: 0.0367 2022/08/26 09:04:57 - mmengine - INFO - Epoch(train) [276][50/63] lr: 1.0000e-05 eta: 12:16:14 time: 0.8653 data_time: 0.0306 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0196 loss: 0.0496 2022/08/26 09:05:01 - mmengine - INFO - Epoch(train) [276][55/63] lr: 1.0000e-05 eta: 12:16:14 time: 0.8781 data_time: 0.0290 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0199 loss: 0.0500 2022/08/26 09:05:05 - mmengine - INFO - Epoch(train) [276][60/63] lr: 1.0000e-05 eta: 12:15:37 time: 0.8659 data_time: 0.0249 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0170 loss: 0.0375 2022/08/26 09:05:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:06:34 - mmengine - INFO - Epoch(train) [277][5/63] lr: 1.0000e-05 eta: 12:15:37 time: 9.0595 data_time: 8.2672 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0179 loss: 0.0439 2022/08/26 09:06:39 - mmengine - INFO - Epoch(train) [277][10/63] lr: 1.0000e-05 eta: 12:16:23 time: 9.1141 data_time: 8.2831 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0179 loss: 0.0450 2022/08/26 09:06:43 - mmengine - INFO - Epoch(train) [277][15/63] lr: 1.0000e-05 eta: 12:16:23 time: 0.8448 data_time: 0.0304 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0175 loss: 0.0434 2022/08/26 09:06:47 - mmengine - INFO - Epoch(train) [277][20/63] lr: 1.0000e-05 eta: 12:15:46 time: 0.8474 data_time: 0.0232 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0189 loss: 0.0494 2022/08/26 09:06:52 - mmengine - INFO - Epoch(train) [277][25/63] lr: 1.0000e-05 eta: 12:15:46 time: 0.8635 data_time: 0.0365 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0178 loss: 0.0442 2022/08/26 09:06:56 - mmengine - INFO - Epoch(train) [277][30/63] lr: 1.0000e-05 eta: 12:15:09 time: 0.8436 data_time: 0.0336 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0153 loss: 0.0363 2022/08/26 09:07:00 - mmengine - INFO - Epoch(train) [277][35/63] lr: 1.0000e-05 eta: 12:15:09 time: 0.8836 data_time: 0.0408 memory: 25127 loss_text: 0.0313 loss_kernel: 0.0199 loss: 0.0513 2022/08/26 09:07:05 - mmengine - INFO - Epoch(train) [277][40/63] lr: 1.0000e-05 eta: 12:14:32 time: 0.9104 data_time: 0.0464 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0208 loss: 0.0530 2022/08/26 09:07:09 - mmengine - INFO - Epoch(train) [277][45/63] lr: 1.0000e-05 eta: 12:14:32 time: 0.8491 data_time: 0.0311 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0188 loss: 0.0463 2022/08/26 09:07:13 - mmengine - INFO - Epoch(train) [277][50/63] lr: 1.0000e-05 eta: 12:13:55 time: 0.8293 data_time: 0.0223 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0225 loss: 0.0576 2022/08/26 09:07:17 - mmengine - INFO - Epoch(train) [277][55/63] lr: 1.0000e-05 eta: 12:13:55 time: 0.8329 data_time: 0.0272 memory: 25127 loss_text: 0.0406 loss_kernel: 0.0254 loss: 0.0659 2022/08/26 09:07:22 - mmengine - INFO - Epoch(train) [277][60/63] lr: 1.0000e-05 eta: 12:13:18 time: 0.8764 data_time: 0.0256 memory: 25127 loss_text: 0.0346 loss_kernel: 0.0219 loss: 0.0565 2022/08/26 09:07:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:08:51 - mmengine - INFO - Epoch(train) [278][5/63] lr: 1.0000e-05 eta: 12:13:18 time: 9.1678 data_time: 8.3178 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0186 loss: 0.0462 2022/08/26 09:08:57 - mmengine - INFO - Epoch(train) [278][10/63] lr: 1.0000e-05 eta: 12:14:05 time: 9.2470 data_time: 8.3974 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0193 loss: 0.0476 2022/08/26 09:09:01 - mmengine - INFO - Epoch(train) [278][15/63] lr: 1.0000e-05 eta: 12:14:05 time: 0.9399 data_time: 0.0957 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0172 loss: 0.0420 2022/08/26 09:09:05 - mmengine - INFO - Epoch(train) [278][20/63] lr: 1.0000e-05 eta: 12:13:29 time: 0.8711 data_time: 0.0293 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0163 loss: 0.0389 2022/08/26 09:09:10 - mmengine - INFO - Epoch(train) [278][25/63] lr: 1.0000e-05 eta: 12:13:29 time: 0.8657 data_time: 0.0347 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0176 loss: 0.0439 2022/08/26 09:09:14 - mmengine - INFO - Epoch(train) [278][30/63] lr: 1.0000e-05 eta: 12:12:52 time: 0.8678 data_time: 0.0316 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0170 loss: 0.0419 2022/08/26 09:09:18 - mmengine - INFO - Epoch(train) [278][35/63] lr: 1.0000e-05 eta: 12:12:52 time: 0.8712 data_time: 0.0378 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0167 loss: 0.0395 2022/08/26 09:09:23 - mmengine - INFO - Epoch(train) [278][40/63] lr: 1.0000e-05 eta: 12:12:15 time: 0.8785 data_time: 0.0315 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0166 loss: 0.0392 2022/08/26 09:09:27 - mmengine - INFO - Epoch(train) [278][45/63] lr: 1.0000e-05 eta: 12:12:15 time: 0.8757 data_time: 0.0307 memory: 25127 loss_text: 0.0353 loss_kernel: 0.0222 loss: 0.0575 2022/08/26 09:09:32 - mmengine - INFO - Epoch(train) [278][50/63] lr: 1.0000e-05 eta: 12:11:39 time: 0.8949 data_time: 0.0391 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0225 loss: 0.0585 2022/08/26 09:09:36 - mmengine - INFO - Epoch(train) [278][55/63] lr: 1.0000e-05 eta: 12:11:39 time: 0.8966 data_time: 0.0330 memory: 25127 loss_text: 0.0308 loss_kernel: 0.0204 loss: 0.0513 2022/08/26 09:09:40 - mmengine - INFO - Epoch(train) [278][60/63] lr: 1.0000e-05 eta: 12:11:02 time: 0.8606 data_time: 0.0213 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0208 loss: 0.0512 2022/08/26 09:09:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:11:12 - mmengine - INFO - Epoch(train) [279][5/63] lr: 1.0000e-05 eta: 12:11:02 time: 9.2956 data_time: 8.4819 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0187 loss: 0.0447 2022/08/26 09:11:16 - mmengine - INFO - Epoch(train) [279][10/63] lr: 1.0000e-05 eta: 12:11:50 time: 9.3421 data_time: 8.4911 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0188 loss: 0.0450 2022/08/26 09:11:20 - mmengine - INFO - Epoch(train) [279][15/63] lr: 1.0000e-05 eta: 12:11:50 time: 0.8709 data_time: 0.0319 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0168 loss: 0.0388 2022/08/26 09:11:25 - mmengine - INFO - Epoch(train) [279][20/63] lr: 1.0000e-05 eta: 12:11:13 time: 0.8752 data_time: 0.0384 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0169 loss: 0.0383 2022/08/26 09:11:29 - mmengine - INFO - Epoch(train) [279][25/63] lr: 1.0000e-05 eta: 12:11:13 time: 0.8863 data_time: 0.0476 memory: 25127 loss_text: 0.0447 loss_kernel: 0.0258 loss: 0.0705 2022/08/26 09:11:34 - mmengine - INFO - Epoch(train) [279][30/63] lr: 1.0000e-05 eta: 12:10:37 time: 0.8797 data_time: 0.0333 memory: 25127 loss_text: 0.0448 loss_kernel: 0.0256 loss: 0.0704 2022/08/26 09:11:38 - mmengine - INFO - Epoch(train) [279][35/63] lr: 1.0000e-05 eta: 12:10:37 time: 0.8795 data_time: 0.0264 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0208 loss: 0.0536 2022/08/26 09:11:42 - mmengine - INFO - Epoch(train) [279][40/63] lr: 1.0000e-05 eta: 12:10:00 time: 0.8727 data_time: 0.0285 memory: 25127 loss_text: 0.0337 loss_kernel: 0.0213 loss: 0.0550 2022/08/26 09:11:47 - mmengine - INFO - Epoch(train) [279][45/63] lr: 1.0000e-05 eta: 12:10:00 time: 0.8742 data_time: 0.0378 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0169 loss: 0.0397 2022/08/26 09:11:51 - mmengine - INFO - Epoch(train) [279][50/63] lr: 1.0000e-05 eta: 12:09:24 time: 0.8690 data_time: 0.0305 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0160 loss: 0.0381 2022/08/26 09:11:56 - mmengine - INFO - Epoch(train) [279][55/63] lr: 1.0000e-05 eta: 12:09:24 time: 0.8827 data_time: 0.0269 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0179 loss: 0.0434 2022/08/26 09:12:00 - mmengine - INFO - Epoch(train) [279][60/63] lr: 1.0000e-05 eta: 12:08:47 time: 0.8842 data_time: 0.0285 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0180 loss: 0.0436 2022/08/26 09:12:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:13:29 - mmengine - INFO - Epoch(train) [280][5/63] lr: 1.0000e-05 eta: 12:08:47 time: 9.0644 data_time: 8.2613 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0162 loss: 0.0388 2022/08/26 09:13:33 - mmengine - INFO - Epoch(train) [280][10/63] lr: 1.0000e-05 eta: 12:09:32 time: 9.1169 data_time: 8.2907 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0190 loss: 0.0458 2022/08/26 09:13:37 - mmengine - INFO - Epoch(train) [280][15/63] lr: 1.0000e-05 eta: 12:09:32 time: 0.8369 data_time: 0.0421 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0200 loss: 0.0484 2022/08/26 09:13:42 - mmengine - INFO - Epoch(train) [280][20/63] lr: 1.0000e-05 eta: 12:08:55 time: 0.8770 data_time: 0.0326 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0180 loss: 0.0425 2022/08/26 09:13:46 - mmengine - INFO - Epoch(train) [280][25/63] lr: 1.0000e-05 eta: 12:08:55 time: 0.8923 data_time: 0.0379 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0157 loss: 0.0383 2022/08/26 09:13:51 - mmengine - INFO - Epoch(train) [280][30/63] lr: 1.0000e-05 eta: 12:08:19 time: 0.9300 data_time: 0.0217 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0148 loss: 0.0358 2022/08/26 09:13:56 - mmengine - INFO - Epoch(train) [280][35/63] lr: 1.0000e-05 eta: 12:08:19 time: 1.0002 data_time: 0.0430 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0174 loss: 0.0379 2022/08/26 09:14:00 - mmengine - INFO - Epoch(train) [280][40/63] lr: 1.0000e-05 eta: 12:07:43 time: 0.9084 data_time: 0.0439 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0183 loss: 0.0418 2022/08/26 09:14:05 - mmengine - INFO - Epoch(train) [280][45/63] lr: 1.0000e-05 eta: 12:07:43 time: 0.8358 data_time: 0.0262 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0163 loss: 0.0394 2022/08/26 09:14:09 - mmengine - INFO - Epoch(train) [280][50/63] lr: 1.0000e-05 eta: 12:07:06 time: 0.8360 data_time: 0.0313 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0160 loss: 0.0372 2022/08/26 09:14:14 - mmengine - INFO - Epoch(train) [280][55/63] lr: 1.0000e-05 eta: 12:07:06 time: 0.9081 data_time: 0.0327 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0172 loss: 0.0425 2022/08/26 09:14:18 - mmengine - INFO - Epoch(train) [280][60/63] lr: 1.0000e-05 eta: 12:06:30 time: 0.9055 data_time: 0.0226 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0205 loss: 0.0534 2022/08/26 09:14:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:14:20 - mmengine - INFO - Saving checkpoint at 280 epochs 2022/08/26 09:14:51 - mmengine - INFO - Epoch(val) [280][5/500] eta: 12:06:30 time: 2.4490 data_time: 2.3861 memory: 25127 2022/08/26 09:14:51 - mmengine - INFO - Epoch(val) [280][10/500] eta: 0:20:06 time: 2.4619 data_time: 2.3867 memory: 2076 2022/08/26 09:14:51 - mmengine - INFO - Epoch(val) [280][15/500] eta: 0:20:06 time: 0.0591 data_time: 0.0023 memory: 2001 2022/08/26 09:14:51 - mmengine - INFO - Epoch(val) [280][20/500] eta: 0:00:23 time: 0.0481 data_time: 0.0017 memory: 1700 2022/08/26 09:14:52 - mmengine - INFO - Epoch(val) [280][25/500] eta: 0:00:23 time: 0.0404 data_time: 0.0017 memory: 1700 2022/08/26 09:14:52 - mmengine - INFO - Epoch(val) [280][30/500] eta: 0:00:18 time: 0.0399 data_time: 0.0017 memory: 1700 2022/08/26 09:14:52 - mmengine - INFO - Epoch(val) [280][35/500] eta: 0:00:18 time: 0.0428 data_time: 0.0019 memory: 1700 2022/08/26 09:14:52 - mmengine - INFO - Epoch(val) [280][40/500] eta: 0:00:19 time: 0.0425 data_time: 0.0019 memory: 1737 2022/08/26 09:14:52 - mmengine - INFO - Epoch(val) [280][45/500] eta: 0:00:19 time: 0.0394 data_time: 0.0021 memory: 2076 2022/08/26 09:14:53 - mmengine - INFO - Epoch(val) [280][50/500] eta: 0:00:18 time: 0.0403 data_time: 0.0023 memory: 1813 2022/08/26 09:14:53 - mmengine - INFO - Epoch(val) [280][55/500] eta: 0:00:18 time: 0.0425 data_time: 0.0019 memory: 1775 2022/08/26 09:14:53 - mmengine - INFO - Epoch(val) [280][60/500] eta: 0:00:20 time: 0.0466 data_time: 0.0018 memory: 1700 2022/08/26 09:14:53 - mmengine - INFO - Epoch(val) [280][65/500] eta: 0:00:20 time: 0.0526 data_time: 0.0022 memory: 1813 2022/08/26 09:14:54 - mmengine - INFO - Epoch(val) [280][70/500] eta: 0:00:21 time: 0.0497 data_time: 0.0026 memory: 2076 2022/08/26 09:14:54 - mmengine - INFO - Epoch(val) [280][75/500] eta: 0:00:21 time: 0.0465 data_time: 0.0029 memory: 1813 2022/08/26 09:14:54 - mmengine - INFO - Epoch(val) [280][80/500] eta: 0:00:18 time: 0.0447 data_time: 0.0024 memory: 1700 2022/08/26 09:14:54 - mmengine - INFO - Epoch(val) [280][85/500] eta: 0:00:18 time: 0.0413 data_time: 0.0017 memory: 1700 2022/08/26 09:14:54 - mmengine - INFO - Epoch(val) [280][90/500] eta: 0:00:19 time: 0.0467 data_time: 0.0022 memory: 2076 2022/08/26 09:14:55 - mmengine - INFO - Epoch(val) [280][95/500] eta: 0:00:19 time: 0.0485 data_time: 0.0022 memory: 1737 2022/08/26 09:14:55 - mmengine - INFO - Epoch(val) [280][100/500] eta: 0:00:17 time: 0.0433 data_time: 0.0019 memory: 2076 2022/08/26 09:14:55 - mmengine - INFO - Epoch(val) [280][105/500] eta: 0:00:17 time: 0.0401 data_time: 0.0019 memory: 1700 2022/08/26 09:14:55 - mmengine - INFO - Epoch(val) [280][110/500] eta: 0:00:16 time: 0.0429 data_time: 0.0020 memory: 2076 2022/08/26 09:14:56 - mmengine - INFO - Epoch(val) [280][115/500] eta: 0:00:16 time: 0.0462 data_time: 0.0019 memory: 1700 2022/08/26 09:14:56 - mmengine - INFO - Epoch(val) [280][120/500] eta: 0:00:19 time: 0.0526 data_time: 0.0019 memory: 1700 2022/08/26 09:14:56 - mmengine - INFO - Epoch(val) [280][125/500] eta: 0:00:19 time: 0.0654 data_time: 0.0021 memory: 2076 2022/08/26 09:14:56 - mmengine - INFO - Epoch(val) [280][130/500] eta: 0:00:20 time: 0.0548 data_time: 0.0020 memory: 1700 2022/08/26 09:14:57 - mmengine - INFO - Epoch(val) [280][135/500] eta: 0:00:20 time: 0.0415 data_time: 0.0018 memory: 1850 2022/08/26 09:14:57 - mmengine - INFO - Epoch(val) [280][140/500] eta: 0:00:16 time: 0.0453 data_time: 0.0021 memory: 1700 2022/08/26 09:14:57 - mmengine - INFO - Epoch(val) [280][145/500] eta: 0:00:16 time: 0.0421 data_time: 0.0020 memory: 2039 2022/08/26 09:14:57 - mmengine - INFO - Epoch(val) [280][150/500] eta: 0:00:14 time: 0.0404 data_time: 0.0017 memory: 1700 2022/08/26 09:14:57 - mmengine - INFO - Epoch(val) [280][155/500] eta: 0:00:14 time: 0.0436 data_time: 0.0018 memory: 1963 2022/08/26 09:14:58 - mmengine - INFO - Epoch(val) [280][160/500] eta: 0:00:16 time: 0.0471 data_time: 0.0019 memory: 2076 2022/08/26 09:14:58 - mmengine - INFO - Epoch(val) [280][165/500] eta: 0:00:16 time: 0.0456 data_time: 0.0018 memory: 1775 2022/08/26 09:14:58 - mmengine - INFO - Epoch(val) [280][170/500] eta: 0:00:15 time: 0.0456 data_time: 0.0018 memory: 1963 2022/08/26 09:14:58 - mmengine - INFO - Epoch(val) [280][175/500] eta: 0:00:15 time: 0.0469 data_time: 0.0019 memory: 2076 2022/08/26 09:14:59 - mmengine - INFO - Epoch(val) [280][180/500] eta: 0:00:14 time: 0.0441 data_time: 0.0021 memory: 2076 2022/08/26 09:14:59 - mmengine - INFO - Epoch(val) [280][185/500] eta: 0:00:14 time: 0.0421 data_time: 0.0020 memory: 1700 2022/08/26 09:14:59 - mmengine - INFO - Epoch(val) [280][190/500] eta: 0:00:12 time: 0.0410 data_time: 0.0017 memory: 1813 2022/08/26 09:14:59 - mmengine - INFO - Epoch(val) [280][195/500] eta: 0:00:12 time: 0.0379 data_time: 0.0016 memory: 1775 2022/08/26 09:14:59 - mmengine - INFO - Epoch(val) [280][200/500] eta: 0:00:10 time: 0.0363 data_time: 0.0016 memory: 1775 2022/08/26 09:15:00 - mmengine - INFO - Epoch(val) [280][205/500] eta: 0:00:10 time: 0.0393 data_time: 0.0016 memory: 1700 2022/08/26 09:15:00 - mmengine - INFO - Epoch(val) [280][210/500] eta: 0:00:12 time: 0.0436 data_time: 0.0016 memory: 2076 2022/08/26 09:15:00 - mmengine - INFO - Epoch(val) [280][215/500] eta: 0:00:12 time: 0.0417 data_time: 0.0016 memory: 1700 2022/08/26 09:15:00 - mmengine - INFO - Epoch(val) [280][220/500] eta: 0:00:10 time: 0.0376 data_time: 0.0016 memory: 1850 2022/08/26 09:15:01 - mmengine - INFO - Epoch(val) [280][225/500] eta: 0:00:10 time: 0.0666 data_time: 0.0035 memory: 2076 2022/08/26 09:15:01 - mmengine - INFO - Epoch(val) [280][230/500] eta: 0:00:28 time: 0.1041 data_time: 0.0130 memory: 1700 2022/08/26 09:15:01 - mmengine - INFO - Epoch(val) [280][235/500] eta: 0:00:28 time: 0.0821 data_time: 0.0115 memory: 2076 2022/08/26 09:15:02 - mmengine - INFO - Epoch(val) [280][240/500] eta: 0:00:13 time: 0.0523 data_time: 0.0020 memory: 2076 2022/08/26 09:15:02 - mmengine - INFO - Epoch(val) [280][245/500] eta: 0:00:13 time: 0.0463 data_time: 0.0018 memory: 2076 2022/08/26 09:15:02 - mmengine - INFO - Epoch(val) [280][250/500] eta: 0:00:09 time: 0.0391 data_time: 0.0018 memory: 1700 2022/08/26 09:15:03 - mmengine - INFO - Epoch(val) [280][255/500] eta: 0:00:09 time: 0.0677 data_time: 0.0018 memory: 1737 2022/08/26 09:15:03 - mmengine - INFO - Epoch(val) [280][260/500] eta: 0:00:16 time: 0.0672 data_time: 0.0017 memory: 1700 2022/08/26 09:15:03 - mmengine - INFO - Epoch(val) [280][265/500] eta: 0:00:16 time: 0.0412 data_time: 0.0020 memory: 2001 2022/08/26 09:15:03 - mmengine - INFO - Epoch(val) [280][270/500] eta: 0:00:10 time: 0.0446 data_time: 0.0020 memory: 1926 2022/08/26 09:15:04 - mmengine - INFO - Epoch(val) [280][275/500] eta: 0:00:10 time: 0.0469 data_time: 0.0016 memory: 2076 2022/08/26 09:15:04 - mmengine - INFO - Epoch(val) [280][280/500] eta: 0:00:09 time: 0.0422 data_time: 0.0017 memory: 2001 2022/08/26 09:15:04 - mmengine - INFO - Epoch(val) [280][285/500] eta: 0:00:09 time: 0.0374 data_time: 0.0016 memory: 1700 2022/08/26 09:15:04 - mmengine - INFO - Epoch(val) [280][290/500] eta: 0:00:09 time: 0.0443 data_time: 0.0015 memory: 2076 2022/08/26 09:15:04 - mmengine - INFO - Epoch(val) [280][295/500] eta: 0:00:09 time: 0.0455 data_time: 0.0019 memory: 1813 2022/08/26 09:15:05 - mmengine - INFO - Epoch(val) [280][300/500] eta: 0:00:08 time: 0.0420 data_time: 0.0022 memory: 1737 2022/08/26 09:15:05 - mmengine - INFO - Epoch(val) [280][305/500] eta: 0:00:08 time: 0.0375 data_time: 0.0022 memory: 1700 2022/08/26 09:15:05 - mmengine - INFO - Epoch(val) [280][310/500] eta: 0:00:07 time: 0.0373 data_time: 0.0021 memory: 1775 2022/08/26 09:15:05 - mmengine - INFO - Epoch(val) [280][315/500] eta: 0:00:07 time: 0.0455 data_time: 0.0018 memory: 2001 2022/08/26 09:15:05 - mmengine - INFO - Epoch(val) [280][320/500] eta: 0:00:08 time: 0.0484 data_time: 0.0018 memory: 2001 2022/08/26 09:15:06 - mmengine - INFO - Epoch(val) [280][325/500] eta: 0:00:08 time: 0.0500 data_time: 0.0022 memory: 2076 2022/08/26 09:15:06 - mmengine - INFO - Epoch(val) [280][330/500] eta: 0:00:08 time: 0.0476 data_time: 0.0023 memory: 1737 2022/08/26 09:15:06 - mmengine - INFO - Epoch(val) [280][335/500] eta: 0:00:08 time: 0.0455 data_time: 0.0019 memory: 1926 2022/08/26 09:15:06 - mmengine - INFO - Epoch(val) [280][340/500] eta: 0:00:08 time: 0.0508 data_time: 0.0017 memory: 2039 2022/08/26 09:15:07 - mmengine - INFO - Epoch(val) [280][345/500] eta: 0:00:08 time: 0.0454 data_time: 0.0018 memory: 1926 2022/08/26 09:15:07 - mmengine - INFO - Epoch(val) [280][350/500] eta: 0:00:07 time: 0.0472 data_time: 0.0017 memory: 1700 2022/08/26 09:15:07 - mmengine - INFO - Epoch(val) [280][355/500] eta: 0:00:07 time: 0.0653 data_time: 0.0017 memory: 2039 2022/08/26 09:15:07 - mmengine - INFO - Epoch(val) [280][360/500] eta: 0:00:07 time: 0.0552 data_time: 0.0017 memory: 1737 2022/08/26 09:15:08 - mmengine - INFO - Epoch(val) [280][365/500] eta: 0:00:07 time: 0.0359 data_time: 0.0016 memory: 1588 2022/08/26 09:15:08 - mmengine - INFO - Epoch(val) [280][370/500] eta: 0:00:04 time: 0.0361 data_time: 0.0016 memory: 1813 2022/08/26 09:15:08 - mmengine - INFO - Epoch(val) [280][375/500] eta: 0:00:04 time: 0.0339 data_time: 0.0016 memory: 1700 2022/08/26 09:15:08 - mmengine - INFO - Epoch(val) [280][380/500] eta: 0:00:04 time: 0.0365 data_time: 0.0016 memory: 2039 2022/08/26 09:15:08 - mmengine - INFO - Epoch(val) [280][385/500] eta: 0:00:04 time: 0.0418 data_time: 0.0017 memory: 2039 2022/08/26 09:15:09 - mmengine - INFO - Epoch(val) [280][390/500] eta: 0:00:05 time: 0.0484 data_time: 0.0018 memory: 2076 2022/08/26 09:15:09 - mmengine - INFO - Epoch(val) [280][395/500] eta: 0:00:05 time: 0.0628 data_time: 0.0018 memory: 1700 2022/08/26 09:15:09 - mmengine - INFO - Epoch(val) [280][400/500] eta: 0:00:06 time: 0.0618 data_time: 0.0019 memory: 2039 2022/08/26 09:15:09 - mmengine - INFO - Epoch(val) [280][405/500] eta: 0:00:06 time: 0.0465 data_time: 0.0019 memory: 2039 2022/08/26 09:15:10 - mmengine - INFO - Epoch(val) [280][410/500] eta: 0:00:03 time: 0.0415 data_time: 0.0018 memory: 1813 2022/08/26 09:15:10 - mmengine - INFO - Epoch(val) [280][415/500] eta: 0:00:03 time: 0.0465 data_time: 0.0017 memory: 1700 2022/08/26 09:15:10 - mmengine - INFO - Epoch(val) [280][420/500] eta: 0:00:04 time: 0.0575 data_time: 0.0017 memory: 2001 2022/08/26 09:15:11 - mmengine - INFO - Epoch(val) [280][425/500] eta: 0:00:04 time: 0.0589 data_time: 0.0017 memory: 1700 2022/08/26 09:15:11 - mmengine - INFO - Epoch(val) [280][430/500] eta: 0:00:03 time: 0.0535 data_time: 0.0034 memory: 2076 2022/08/26 09:15:11 - mmengine - INFO - Epoch(val) [280][435/500] eta: 0:00:03 time: 0.0679 data_time: 0.0035 memory: 1700 2022/08/26 09:15:11 - mmengine - INFO - Epoch(val) [280][440/500] eta: 0:00:03 time: 0.0640 data_time: 0.0021 memory: 1850 2022/08/26 09:15:12 - mmengine - INFO - Epoch(val) [280][445/500] eta: 0:00:03 time: 0.0452 data_time: 0.0020 memory: 2001 2022/08/26 09:15:12 - mmengine - INFO - Epoch(val) [280][450/500] eta: 0:00:02 time: 0.0434 data_time: 0.0017 memory: 1700 2022/08/26 09:15:12 - mmengine - INFO - Epoch(val) [280][455/500] eta: 0:00:02 time: 0.0449 data_time: 0.0017 memory: 2076 2022/08/26 09:15:12 - mmengine - INFO - Epoch(val) [280][460/500] eta: 0:00:01 time: 0.0419 data_time: 0.0017 memory: 1775 2022/08/26 09:15:12 - mmengine - INFO - Epoch(val) [280][465/500] eta: 0:00:01 time: 0.0369 data_time: 0.0017 memory: 1963 2022/08/26 09:15:13 - mmengine - INFO - Epoch(val) [280][470/500] eta: 0:00:01 time: 0.0376 data_time: 0.0017 memory: 1775 2022/08/26 09:15:13 - mmengine - INFO - Epoch(val) [280][475/500] eta: 0:00:01 time: 0.0520 data_time: 0.0019 memory: 2076 2022/08/26 09:15:13 - mmengine - INFO - Epoch(val) [280][480/500] eta: 0:00:01 time: 0.0539 data_time: 0.0019 memory: 2039 2022/08/26 09:15:13 - mmengine - INFO - Epoch(val) [280][485/500] eta: 0:00:01 time: 0.0393 data_time: 0.0018 memory: 1700 2022/08/26 09:15:14 - mmengine - INFO - Epoch(val) [280][490/500] eta: 0:00:00 time: 0.0362 data_time: 0.0018 memory: 1963 2022/08/26 09:15:14 - mmengine - INFO - Epoch(val) [280][495/500] eta: 0:00:00 time: 0.0448 data_time: 0.0018 memory: 2076 2022/08/26 09:15:14 - mmengine - INFO - Epoch(val) [280][500/500] eta: 0:00:00 time: 0.0452 data_time: 0.0017 memory: 1737 2022/08/26 09:15:14 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 09:15:14 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7951, precision: 0.5044, hmean: 0.6173 2022/08/26 09:15:14 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7951, precision: 0.5044, hmean: 0.6173 2022/08/26 09:15:14 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7951, precision: 0.5044, hmean: 0.6173 2022/08/26 09:15:14 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7951, precision: 0.5246, hmean: 0.6321 2022/08/26 09:15:14 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7951, precision: 0.5982, hmean: 0.6828 2022/08/26 09:15:14 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7928, precision: 0.6866, hmean: 0.7359 2022/08/26 09:15:14 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7714, precision: 0.7810, hmean: 0.7762 2022/08/26 09:15:14 - mmengine - INFO - Epoch(val) [280][500/500] icdar/precision: 0.7810 icdar/recall: 0.7714 icdar/hmean: 0.7762 2022/08/26 09:16:40 - mmengine - INFO - Epoch(train) [281][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 8.9991 data_time: 8.1963 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0156 loss: 0.0358 2022/08/26 09:16:45 - mmengine - INFO - Epoch(train) [281][10/63] lr: 1.0000e-05 eta: 12:07:14 time: 9.0425 data_time: 8.2210 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0153 loss: 0.0358 2022/08/26 09:16:49 - mmengine - INFO - Epoch(train) [281][15/63] lr: 1.0000e-05 eta: 12:07:14 time: 0.8218 data_time: 0.0389 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0159 loss: 0.0371 2022/08/26 09:16:53 - mmengine - INFO - Epoch(train) [281][20/63] lr: 1.0000e-05 eta: 12:06:37 time: 0.8829 data_time: 0.0310 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0191 loss: 0.0461 2022/08/26 09:16:57 - mmengine - INFO - Epoch(train) [281][25/63] lr: 1.0000e-05 eta: 12:06:37 time: 0.8819 data_time: 0.0319 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0209 loss: 0.0518 2022/08/26 09:17:02 - mmengine - INFO - Epoch(train) [281][30/63] lr: 1.0000e-05 eta: 12:06:00 time: 0.8170 data_time: 0.0287 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0181 loss: 0.0431 2022/08/26 09:17:06 - mmengine - INFO - Epoch(train) [281][35/63] lr: 1.0000e-05 eta: 12:06:00 time: 0.8294 data_time: 0.0304 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0166 loss: 0.0375 2022/08/26 09:17:10 - mmengine - INFO - Epoch(train) [281][40/63] lr: 1.0000e-05 eta: 12:05:23 time: 0.8260 data_time: 0.0283 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0160 loss: 0.0361 2022/08/26 09:17:14 - mmengine - INFO - Epoch(train) [281][45/63] lr: 1.0000e-05 eta: 12:05:23 time: 0.8558 data_time: 0.0364 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0144 loss: 0.0339 2022/08/26 09:17:18 - mmengine - INFO - Epoch(train) [281][50/63] lr: 1.0000e-05 eta: 12:04:47 time: 0.8414 data_time: 0.0312 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0159 loss: 0.0355 2022/08/26 09:17:23 - mmengine - INFO - Epoch(train) [281][55/63] lr: 1.0000e-05 eta: 12:04:47 time: 0.8743 data_time: 0.0249 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0164 loss: 0.0364 2022/08/26 09:17:27 - mmengine - INFO - Epoch(train) [281][60/63] lr: 1.0000e-05 eta: 12:04:11 time: 0.8890 data_time: 0.0241 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0151 loss: 0.0349 2022/08/26 09:17:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:18:57 - mmengine - INFO - Epoch(train) [282][5/63] lr: 1.0000e-05 eta: 12:04:11 time: 9.1630 data_time: 8.3595 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0192 loss: 0.0460 2022/08/26 09:19:02 - mmengine - INFO - Epoch(train) [282][10/63] lr: 1.0000e-05 eta: 12:04:55 time: 9.2181 data_time: 8.3829 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0178 loss: 0.0437 2022/08/26 09:19:06 - mmengine - INFO - Epoch(train) [282][15/63] lr: 1.0000e-05 eta: 12:04:55 time: 0.8883 data_time: 0.0320 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0192 loss: 0.0488 2022/08/26 09:19:11 - mmengine - INFO - Epoch(train) [282][20/63] lr: 1.0000e-05 eta: 12:04:19 time: 0.8920 data_time: 0.0210 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0194 loss: 0.0492 2022/08/26 09:19:15 - mmengine - INFO - Epoch(train) [282][25/63] lr: 1.0000e-05 eta: 12:04:19 time: 0.8986 data_time: 0.0537 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0161 loss: 0.0371 2022/08/26 09:19:19 - mmengine - INFO - Epoch(train) [282][30/63] lr: 1.0000e-05 eta: 12:03:43 time: 0.8911 data_time: 0.0502 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0159 loss: 0.0368 2022/08/26 09:19:24 - mmengine - INFO - Epoch(train) [282][35/63] lr: 1.0000e-05 eta: 12:03:43 time: 0.8622 data_time: 0.0310 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0173 loss: 0.0430 2022/08/26 09:19:28 - mmengine - INFO - Epoch(train) [282][40/63] lr: 1.0000e-05 eta: 12:03:07 time: 0.8616 data_time: 0.0294 memory: 25127 loss_text: 0.0267 loss_kernel: 0.0182 loss: 0.0449 2022/08/26 09:19:32 - mmengine - INFO - Epoch(train) [282][45/63] lr: 1.0000e-05 eta: 12:03:07 time: 0.8580 data_time: 0.0255 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0186 loss: 0.0440 2022/08/26 09:19:37 - mmengine - INFO - Epoch(train) [282][50/63] lr: 1.0000e-05 eta: 12:02:30 time: 0.8535 data_time: 0.0373 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0212 loss: 0.0510 2022/08/26 09:19:41 - mmengine - INFO - Epoch(train) [282][55/63] lr: 1.0000e-05 eta: 12:02:30 time: 0.8404 data_time: 0.0334 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0206 loss: 0.0507 2022/08/26 09:19:45 - mmengine - INFO - Epoch(train) [282][60/63] lr: 1.0000e-05 eta: 12:01:54 time: 0.8479 data_time: 0.0181 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0197 loss: 0.0469 2022/08/26 09:19:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:21:17 - mmengine - INFO - Epoch(train) [283][5/63] lr: 1.0000e-05 eta: 12:01:54 time: 9.3044 data_time: 8.5120 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0177 loss: 0.0394 2022/08/26 09:21:21 - mmengine - INFO - Epoch(train) [283][10/63] lr: 1.0000e-05 eta: 12:02:40 time: 9.3780 data_time: 8.5268 memory: 25127 loss_text: 0.0196 loss_kernel: 0.0148 loss: 0.0344 2022/08/26 09:21:25 - mmengine - INFO - Epoch(train) [283][15/63] lr: 1.0000e-05 eta: 12:02:40 time: 0.8813 data_time: 0.0301 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0175 loss: 0.0428 2022/08/26 09:21:30 - mmengine - INFO - Epoch(train) [283][20/63] lr: 1.0000e-05 eta: 12:02:04 time: 0.8749 data_time: 0.0274 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0175 loss: 0.0439 2022/08/26 09:21:34 - mmengine - INFO - Epoch(train) [283][25/63] lr: 1.0000e-05 eta: 12:02:04 time: 0.8656 data_time: 0.0400 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0192 loss: 0.0496 2022/08/26 09:21:38 - mmengine - INFO - Epoch(train) [283][30/63] lr: 1.0000e-05 eta: 12:01:27 time: 0.8524 data_time: 0.0339 memory: 25127 loss_text: 0.0350 loss_kernel: 0.0233 loss: 0.0583 2022/08/26 09:21:43 - mmengine - INFO - Epoch(train) [283][35/63] lr: 1.0000e-05 eta: 12:01:27 time: 0.8711 data_time: 0.0251 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0197 loss: 0.0455 2022/08/26 09:21:47 - mmengine - INFO - Epoch(train) [283][40/63] lr: 1.0000e-05 eta: 12:00:51 time: 0.8820 data_time: 0.0258 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0172 loss: 0.0387 2022/08/26 09:21:52 - mmengine - INFO - Epoch(train) [283][45/63] lr: 1.0000e-05 eta: 12:00:51 time: 0.8756 data_time: 0.0261 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0168 loss: 0.0385 2022/08/26 09:21:56 - mmengine - INFO - Epoch(train) [283][50/63] lr: 1.0000e-05 eta: 12:00:15 time: 0.8819 data_time: 0.0318 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0161 loss: 0.0394 2022/08/26 09:22:00 - mmengine - INFO - Epoch(train) [283][55/63] lr: 1.0000e-05 eta: 12:00:15 time: 0.8832 data_time: 0.0341 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0187 loss: 0.0465 2022/08/26 09:22:05 - mmengine - INFO - Epoch(train) [283][60/63] lr: 1.0000e-05 eta: 11:59:39 time: 0.8691 data_time: 0.0265 memory: 25127 loss_text: 0.0345 loss_kernel: 0.0217 loss: 0.0562 2022/08/26 09:22:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:23:36 - mmengine - INFO - Epoch(train) [284][5/63] lr: 1.0000e-05 eta: 11:59:39 time: 9.3107 data_time: 8.5078 memory: 25127 loss_text: 0.0330 loss_kernel: 0.0207 loss: 0.0537 2022/08/26 09:23:41 - mmengine - INFO - Epoch(train) [284][10/63] lr: 1.0000e-05 eta: 12:00:24 time: 9.3432 data_time: 8.5235 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0151 loss: 0.0352 2022/08/26 09:23:45 - mmengine - INFO - Epoch(train) [284][15/63] lr: 1.0000e-05 eta: 12:00:24 time: 0.8545 data_time: 0.0432 memory: 25127 loss_text: 0.0199 loss_kernel: 0.0152 loss: 0.0351 2022/08/26 09:23:49 - mmengine - INFO - Epoch(train) [284][20/63] lr: 1.0000e-05 eta: 11:59:47 time: 0.8403 data_time: 0.0338 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0195 loss: 0.0491 2022/08/26 09:23:54 - mmengine - INFO - Epoch(train) [284][25/63] lr: 1.0000e-05 eta: 11:59:47 time: 0.9032 data_time: 0.0271 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0190 loss: 0.0487 2022/08/26 09:23:58 - mmengine - INFO - Epoch(train) [284][30/63] lr: 1.0000e-05 eta: 11:59:12 time: 0.8996 data_time: 0.0303 memory: 25127 loss_text: 0.0196 loss_kernel: 0.0144 loss: 0.0340 2022/08/26 09:24:02 - mmengine - INFO - Epoch(train) [284][35/63] lr: 1.0000e-05 eta: 11:59:12 time: 0.8597 data_time: 0.0594 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0171 loss: 0.0415 2022/08/26 09:24:07 - mmengine - INFO - Epoch(train) [284][40/63] lr: 1.0000e-05 eta: 11:58:36 time: 0.8804 data_time: 0.0568 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0194 loss: 0.0486 2022/08/26 09:24:11 - mmengine - INFO - Epoch(train) [284][45/63] lr: 1.0000e-05 eta: 11:58:36 time: 0.8702 data_time: 0.0312 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0175 loss: 0.0429 2022/08/26 09:24:16 - mmengine - INFO - Epoch(train) [284][50/63] lr: 1.0000e-05 eta: 11:58:00 time: 0.8907 data_time: 0.0294 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0171 loss: 0.0422 2022/08/26 09:24:20 - mmengine - INFO - Epoch(train) [284][55/63] lr: 1.0000e-05 eta: 11:58:00 time: 0.8827 data_time: 0.0351 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0185 loss: 0.0467 2022/08/26 09:24:24 - mmengine - INFO - Epoch(train) [284][60/63] lr: 1.0000e-05 eta: 11:57:24 time: 0.8559 data_time: 0.0342 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0193 loss: 0.0492 2022/08/26 09:24:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:25:54 - mmengine - INFO - Epoch(train) [285][5/63] lr: 1.0000e-05 eta: 11:57:24 time: 9.1719 data_time: 8.3598 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0182 loss: 0.0447 2022/08/26 09:25:59 - mmengine - INFO - Epoch(train) [285][10/63] lr: 1.0000e-05 eta: 11:58:07 time: 9.2519 data_time: 8.3887 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0187 loss: 0.0447 2022/08/26 09:26:03 - mmengine - INFO - Epoch(train) [285][15/63] lr: 1.0000e-05 eta: 11:58:07 time: 0.9083 data_time: 0.0408 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0177 loss: 0.0429 2022/08/26 09:26:08 - mmengine - INFO - Epoch(train) [285][20/63] lr: 1.0000e-05 eta: 11:57:31 time: 0.8736 data_time: 0.0199 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0178 loss: 0.0436 2022/08/26 09:26:12 - mmengine - INFO - Epoch(train) [285][25/63] lr: 1.0000e-05 eta: 11:57:31 time: 0.8737 data_time: 0.0360 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0199 loss: 0.0491 2022/08/26 09:26:16 - mmengine - INFO - Epoch(train) [285][30/63] lr: 1.0000e-05 eta: 11:56:55 time: 0.8667 data_time: 0.0282 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0172 loss: 0.0415 2022/08/26 09:26:21 - mmengine - INFO - Epoch(train) [285][35/63] lr: 1.0000e-05 eta: 11:56:55 time: 0.8449 data_time: 0.0269 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0173 loss: 0.0407 2022/08/26 09:26:25 - mmengine - INFO - Epoch(train) [285][40/63] lr: 1.0000e-05 eta: 11:56:20 time: 0.8996 data_time: 0.0304 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0187 loss: 0.0471 2022/08/26 09:26:30 - mmengine - INFO - Epoch(train) [285][45/63] lr: 1.0000e-05 eta: 11:56:20 time: 0.9005 data_time: 0.0256 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0179 loss: 0.0443 2022/08/26 09:26:34 - mmengine - INFO - Epoch(train) [285][50/63] lr: 1.0000e-05 eta: 11:55:44 time: 0.8732 data_time: 0.0327 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0197 loss: 0.0478 2022/08/26 09:26:38 - mmengine - INFO - Epoch(train) [285][55/63] lr: 1.0000e-05 eta: 11:55:44 time: 0.8770 data_time: 0.0272 memory: 25127 loss_text: 0.0320 loss_kernel: 0.0211 loss: 0.0531 2022/08/26 09:26:43 - mmengine - INFO - Epoch(train) [285][60/63] lr: 1.0000e-05 eta: 11:55:08 time: 0.8905 data_time: 0.0235 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0179 loss: 0.0439 2022/08/26 09:26:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:28:12 - mmengine - INFO - Epoch(train) [286][5/63] lr: 1.0000e-05 eta: 11:55:08 time: 9.1205 data_time: 8.2913 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0215 loss: 0.0529 2022/08/26 09:28:17 - mmengine - INFO - Epoch(train) [286][10/63] lr: 1.0000e-05 eta: 11:55:50 time: 9.1699 data_time: 8.3155 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0222 loss: 0.0563 2022/08/26 09:28:21 - mmengine - INFO - Epoch(train) [286][15/63] lr: 1.0000e-05 eta: 11:55:50 time: 0.8945 data_time: 0.0342 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0206 loss: 0.0535 2022/08/26 09:28:26 - mmengine - INFO - Epoch(train) [286][20/63] lr: 1.0000e-05 eta: 11:55:14 time: 0.8711 data_time: 0.0216 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0191 loss: 0.0484 2022/08/26 09:28:30 - mmengine - INFO - Epoch(train) [286][25/63] lr: 1.0000e-05 eta: 11:55:14 time: 0.8858 data_time: 0.0387 memory: 25127 loss_text: 0.0342 loss_kernel: 0.0209 loss: 0.0551 2022/08/26 09:28:34 - mmengine - INFO - Epoch(train) [286][30/63] lr: 1.0000e-05 eta: 11:54:38 time: 0.8833 data_time: 0.0278 memory: 25127 loss_text: 0.0338 loss_kernel: 0.0211 loss: 0.0548 2022/08/26 09:28:39 - mmengine - INFO - Epoch(train) [286][35/63] lr: 1.0000e-05 eta: 11:54:38 time: 0.8758 data_time: 0.0194 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0172 loss: 0.0419 2022/08/26 09:28:43 - mmengine - INFO - Epoch(train) [286][40/63] lr: 1.0000e-05 eta: 11:54:03 time: 0.8887 data_time: 0.0252 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0172 loss: 0.0429 2022/08/26 09:28:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:28:48 - mmengine - INFO - Epoch(train) [286][45/63] lr: 1.0000e-05 eta: 11:54:03 time: 0.8951 data_time: 0.0245 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0192 loss: 0.0450 2022/08/26 09:28:52 - mmengine - INFO - Epoch(train) [286][50/63] lr: 1.0000e-05 eta: 11:53:27 time: 0.8931 data_time: 0.0263 memory: 25127 loss_text: 0.0214 loss_kernel: 0.0170 loss: 0.0385 2022/08/26 09:28:57 - mmengine - INFO - Epoch(train) [286][55/63] lr: 1.0000e-05 eta: 11:53:27 time: 0.8847 data_time: 0.0257 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0163 loss: 0.0383 2022/08/26 09:29:01 - mmengine - INFO - Epoch(train) [286][60/63] lr: 1.0000e-05 eta: 11:52:52 time: 0.8897 data_time: 0.0232 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0185 loss: 0.0453 2022/08/26 09:29:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:30:32 - mmengine - INFO - Epoch(train) [287][5/63] lr: 1.0000e-05 eta: 11:52:52 time: 9.2917 data_time: 8.4898 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0192 loss: 0.0445 2022/08/26 09:30:37 - mmengine - INFO - Epoch(train) [287][10/63] lr: 1.0000e-05 eta: 11:53:35 time: 9.3440 data_time: 8.4999 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0203 loss: 0.0469 2022/08/26 09:30:41 - mmengine - INFO - Epoch(train) [287][15/63] lr: 1.0000e-05 eta: 11:53:35 time: 0.8744 data_time: 0.0235 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0173 loss: 0.0398 2022/08/26 09:30:46 - mmengine - INFO - Epoch(train) [287][20/63] lr: 1.0000e-05 eta: 11:52:59 time: 0.8749 data_time: 0.0234 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0156 loss: 0.0373 2022/08/26 09:30:50 - mmengine - INFO - Epoch(train) [287][25/63] lr: 1.0000e-05 eta: 11:52:59 time: 0.8889 data_time: 0.0279 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0168 loss: 0.0422 2022/08/26 09:30:55 - mmengine - INFO - Epoch(train) [287][30/63] lr: 1.0000e-05 eta: 11:52:24 time: 0.8921 data_time: 0.0264 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0190 loss: 0.0482 2022/08/26 09:30:59 - mmengine - INFO - Epoch(train) [287][35/63] lr: 1.0000e-05 eta: 11:52:24 time: 0.8961 data_time: 0.0334 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0181 loss: 0.0429 2022/08/26 09:31:03 - mmengine - INFO - Epoch(train) [287][40/63] lr: 1.0000e-05 eta: 11:51:48 time: 0.8892 data_time: 0.0283 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0163 loss: 0.0370 2022/08/26 09:31:08 - mmengine - INFO - Epoch(train) [287][45/63] lr: 1.0000e-05 eta: 11:51:48 time: 0.8931 data_time: 0.0262 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0175 loss: 0.0407 2022/08/26 09:31:12 - mmengine - INFO - Epoch(train) [287][50/63] lr: 1.0000e-05 eta: 11:51:12 time: 0.8796 data_time: 0.0336 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0183 loss: 0.0452 2022/08/26 09:31:17 - mmengine - INFO - Epoch(train) [287][55/63] lr: 1.0000e-05 eta: 11:51:12 time: 0.8575 data_time: 0.0258 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0183 loss: 0.0469 2022/08/26 09:31:21 - mmengine - INFO - Epoch(train) [287][60/63] lr: 1.0000e-05 eta: 11:50:37 time: 0.8556 data_time: 0.0187 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0191 loss: 0.0446 2022/08/26 09:31:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:32:51 - mmengine - INFO - Epoch(train) [288][5/63] lr: 1.0000e-05 eta: 11:50:37 time: 9.1248 data_time: 8.3320 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0194 loss: 0.0446 2022/08/26 09:32:55 - mmengine - INFO - Epoch(train) [288][10/63] lr: 1.0000e-05 eta: 11:51:18 time: 9.1673 data_time: 8.3514 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0179 loss: 0.0421 2022/08/26 09:32:59 - mmengine - INFO - Epoch(train) [288][15/63] lr: 1.0000e-05 eta: 11:51:18 time: 0.8422 data_time: 0.0335 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0161 loss: 0.0369 2022/08/26 09:33:04 - mmengine - INFO - Epoch(train) [288][20/63] lr: 1.0000e-05 eta: 11:50:42 time: 0.8882 data_time: 0.0261 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0195 loss: 0.0502 2022/08/26 09:33:08 - mmengine - INFO - Epoch(train) [288][25/63] lr: 1.0000e-05 eta: 11:50:42 time: 0.9017 data_time: 0.0356 memory: 25127 loss_text: 0.0342 loss_kernel: 0.0215 loss: 0.0557 2022/08/26 09:33:12 - mmengine - INFO - Epoch(train) [288][30/63] lr: 1.0000e-05 eta: 11:50:06 time: 0.8404 data_time: 0.0290 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0213 loss: 0.0503 2022/08/26 09:33:16 - mmengine - INFO - Epoch(train) [288][35/63] lr: 1.0000e-05 eta: 11:50:06 time: 0.8276 data_time: 0.0221 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0181 loss: 0.0423 2022/08/26 09:33:20 - mmengine - INFO - Epoch(train) [288][40/63] lr: 1.0000e-05 eta: 11:49:30 time: 0.8342 data_time: 0.0243 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0170 loss: 0.0426 2022/08/26 09:33:25 - mmengine - INFO - Epoch(train) [288][45/63] lr: 1.0000e-05 eta: 11:49:30 time: 0.9012 data_time: 0.0270 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0201 loss: 0.0511 2022/08/26 09:33:29 - mmengine - INFO - Epoch(train) [288][50/63] lr: 1.0000e-05 eta: 11:48:55 time: 0.8938 data_time: 0.0270 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0169 loss: 0.0416 2022/08/26 09:33:34 - mmengine - INFO - Epoch(train) [288][55/63] lr: 1.0000e-05 eta: 11:48:55 time: 0.8406 data_time: 0.0235 memory: 25127 loss_text: 0.0194 loss_kernel: 0.0150 loss: 0.0344 2022/08/26 09:33:38 - mmengine - INFO - Epoch(train) [288][60/63] lr: 1.0000e-05 eta: 11:48:19 time: 0.8415 data_time: 0.0203 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0160 loss: 0.0368 2022/08/26 09:33:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:35:07 - mmengine - INFO - Epoch(train) [289][5/63] lr: 1.0000e-05 eta: 11:48:19 time: 9.0877 data_time: 8.2944 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0199 loss: 0.0495 2022/08/26 09:35:12 - mmengine - INFO - Epoch(train) [289][10/63] lr: 1.0000e-05 eta: 11:48:59 time: 9.1517 data_time: 8.3024 memory: 25127 loss_text: 0.0334 loss_kernel: 0.0205 loss: 0.0539 2022/08/26 09:35:16 - mmengine - INFO - Epoch(train) [289][15/63] lr: 1.0000e-05 eta: 11:48:59 time: 0.8947 data_time: 0.0311 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0178 loss: 0.0442 2022/08/26 09:35:21 - mmengine - INFO - Epoch(train) [289][20/63] lr: 1.0000e-05 eta: 11:48:24 time: 0.8957 data_time: 0.0325 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0172 loss: 0.0421 2022/08/26 09:35:25 - mmengine - INFO - Epoch(train) [289][25/63] lr: 1.0000e-05 eta: 11:48:24 time: 0.8675 data_time: 0.0320 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0182 loss: 0.0465 2022/08/26 09:35:29 - mmengine - INFO - Epoch(train) [289][30/63] lr: 1.0000e-05 eta: 11:47:48 time: 0.8752 data_time: 0.0302 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0172 loss: 0.0424 2022/08/26 09:35:34 - mmengine - INFO - Epoch(train) [289][35/63] lr: 1.0000e-05 eta: 11:47:48 time: 0.8795 data_time: 0.0303 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0152 loss: 0.0354 2022/08/26 09:35:38 - mmengine - INFO - Epoch(train) [289][40/63] lr: 1.0000e-05 eta: 11:47:13 time: 0.8632 data_time: 0.0292 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0167 loss: 0.0407 2022/08/26 09:35:42 - mmengine - INFO - Epoch(train) [289][45/63] lr: 1.0000e-05 eta: 11:47:13 time: 0.8804 data_time: 0.0337 memory: 25127 loss_text: 0.0340 loss_kernel: 0.0213 loss: 0.0553 2022/08/26 09:35:47 - mmengine - INFO - Epoch(train) [289][50/63] lr: 1.0000e-05 eta: 11:46:37 time: 0.8707 data_time: 0.0301 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0197 loss: 0.0498 2022/08/26 09:35:51 - mmengine - INFO - Epoch(train) [289][55/63] lr: 1.0000e-05 eta: 11:46:37 time: 0.8596 data_time: 0.0232 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0159 loss: 0.0377 2022/08/26 09:35:55 - mmengine - INFO - Epoch(train) [289][60/63] lr: 1.0000e-05 eta: 11:46:02 time: 0.8723 data_time: 0.0251 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0174 loss: 0.0432 2022/08/26 09:35:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:37:27 - mmengine - INFO - Epoch(train) [290][5/63] lr: 1.0000e-05 eta: 11:46:02 time: 9.2923 data_time: 8.4914 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0188 loss: 0.0469 2022/08/26 09:37:31 - mmengine - INFO - Epoch(train) [290][10/63] lr: 1.0000e-05 eta: 11:46:44 time: 9.3540 data_time: 8.5075 memory: 25127 loss_text: 0.0193 loss_kernel: 0.0147 loss: 0.0340 2022/08/26 09:37:36 - mmengine - INFO - Epoch(train) [290][15/63] lr: 1.0000e-05 eta: 11:46:44 time: 0.8938 data_time: 0.0314 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0180 loss: 0.0433 2022/08/26 09:37:40 - mmengine - INFO - Epoch(train) [290][20/63] lr: 1.0000e-05 eta: 11:46:08 time: 0.8732 data_time: 0.0217 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0193 loss: 0.0461 2022/08/26 09:37:44 - mmengine - INFO - Epoch(train) [290][25/63] lr: 1.0000e-05 eta: 11:46:08 time: 0.8697 data_time: 0.0312 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0179 loss: 0.0421 2022/08/26 09:37:49 - mmengine - INFO - Epoch(train) [290][30/63] lr: 1.0000e-05 eta: 11:45:33 time: 0.8813 data_time: 0.0275 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0192 loss: 0.0463 2022/08/26 09:37:53 - mmengine - INFO - Epoch(train) [290][35/63] lr: 1.0000e-05 eta: 11:45:33 time: 0.8993 data_time: 0.0346 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0202 loss: 0.0500 2022/08/26 09:37:58 - mmengine - INFO - Epoch(train) [290][40/63] lr: 1.0000e-05 eta: 11:44:58 time: 0.9147 data_time: 0.0317 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0202 loss: 0.0504 2022/08/26 09:38:02 - mmengine - INFO - Epoch(train) [290][45/63] lr: 1.0000e-05 eta: 11:44:58 time: 0.8947 data_time: 0.0308 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0183 loss: 0.0446 2022/08/26 09:38:07 - mmengine - INFO - Epoch(train) [290][50/63] lr: 1.0000e-05 eta: 11:44:22 time: 0.8773 data_time: 0.0412 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0174 loss: 0.0435 2022/08/26 09:38:11 - mmengine - INFO - Epoch(train) [290][55/63] lr: 1.0000e-05 eta: 11:44:22 time: 0.8576 data_time: 0.0278 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0179 loss: 0.0445 2022/08/26 09:38:15 - mmengine - INFO - Epoch(train) [290][60/63] lr: 1.0000e-05 eta: 11:43:47 time: 0.8594 data_time: 0.0223 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0180 loss: 0.0426 2022/08/26 09:38:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:39:47 - mmengine - INFO - Epoch(train) [291][5/63] lr: 1.0000e-05 eta: 11:43:47 time: 9.3229 data_time: 8.5216 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0160 loss: 0.0363 2022/08/26 09:39:51 - mmengine - INFO - Epoch(train) [291][10/63] lr: 1.0000e-05 eta: 11:44:29 time: 9.3725 data_time: 8.5396 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0172 loss: 0.0416 2022/08/26 09:39:56 - mmengine - INFO - Epoch(train) [291][15/63] lr: 1.0000e-05 eta: 11:44:29 time: 0.8751 data_time: 0.0260 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0189 loss: 0.0480 2022/08/26 09:40:00 - mmengine - INFO - Epoch(train) [291][20/63] lr: 1.0000e-05 eta: 11:43:54 time: 0.8954 data_time: 0.0252 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0206 loss: 0.0557 2022/08/26 09:40:04 - mmengine - INFO - Epoch(train) [291][25/63] lr: 1.0000e-05 eta: 11:43:54 time: 0.8796 data_time: 0.0436 memory: 25127 loss_text: 0.0395 loss_kernel: 0.0242 loss: 0.0637 2022/08/26 09:40:09 - mmengine - INFO - Epoch(train) [291][30/63] lr: 1.0000e-05 eta: 11:43:18 time: 0.8516 data_time: 0.0257 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0208 loss: 0.0507 2022/08/26 09:40:13 - mmengine - INFO - Epoch(train) [291][35/63] lr: 1.0000e-05 eta: 11:43:18 time: 0.8394 data_time: 0.0222 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0166 loss: 0.0410 2022/08/26 09:40:18 - mmengine - INFO - Epoch(train) [291][40/63] lr: 1.0000e-05 eta: 11:42:43 time: 0.9235 data_time: 0.0274 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0168 loss: 0.0412 2022/08/26 09:40:22 - mmengine - INFO - Epoch(train) [291][45/63] lr: 1.0000e-05 eta: 11:42:43 time: 0.9295 data_time: 0.0221 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0184 loss: 0.0450 2022/08/26 09:40:26 - mmengine - INFO - Epoch(train) [291][50/63] lr: 1.0000e-05 eta: 11:42:08 time: 0.8543 data_time: 0.0328 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0186 loss: 0.0445 2022/08/26 09:40:31 - mmengine - INFO - Epoch(train) [291][55/63] lr: 1.0000e-05 eta: 11:42:08 time: 0.8573 data_time: 0.0297 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0163 loss: 0.0365 2022/08/26 09:40:35 - mmengine - INFO - Epoch(train) [291][60/63] lr: 1.0000e-05 eta: 11:41:32 time: 0.8636 data_time: 0.0192 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0166 loss: 0.0371 2022/08/26 09:40:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:42:06 - mmengine - INFO - Epoch(train) [292][5/63] lr: 1.0000e-05 eta: 11:41:32 time: 9.2878 data_time: 8.4630 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0192 loss: 0.0431 2022/08/26 09:42:11 - mmengine - INFO - Epoch(train) [292][10/63] lr: 1.0000e-05 eta: 11:42:13 time: 9.3314 data_time: 8.4810 memory: 25127 loss_text: 0.0320 loss_kernel: 0.0214 loss: 0.0534 2022/08/26 09:42:15 - mmengine - INFO - Epoch(train) [292][15/63] lr: 1.0000e-05 eta: 11:42:13 time: 0.9012 data_time: 0.0309 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0195 loss: 0.0502 2022/08/26 09:42:20 - mmengine - INFO - Epoch(train) [292][20/63] lr: 1.0000e-05 eta: 11:41:38 time: 0.8926 data_time: 0.0216 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0168 loss: 0.0401 2022/08/26 09:42:24 - mmengine - INFO - Epoch(train) [292][25/63] lr: 1.0000e-05 eta: 11:41:38 time: 0.8749 data_time: 0.0421 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0188 loss: 0.0446 2022/08/26 09:42:28 - mmengine - INFO - Epoch(train) [292][30/63] lr: 1.0000e-05 eta: 11:41:03 time: 0.8543 data_time: 0.0358 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0182 loss: 0.0442 2022/08/26 09:42:32 - mmengine - INFO - Epoch(train) [292][35/63] lr: 1.0000e-05 eta: 11:41:03 time: 0.8385 data_time: 0.0270 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0158 loss: 0.0377 2022/08/26 09:42:37 - mmengine - INFO - Epoch(train) [292][40/63] lr: 1.0000e-05 eta: 11:40:27 time: 0.8878 data_time: 0.0313 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0161 loss: 0.0382 2022/08/26 09:42:41 - mmengine - INFO - Epoch(train) [292][45/63] lr: 1.0000e-05 eta: 11:40:27 time: 0.8809 data_time: 0.0287 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0174 loss: 0.0438 2022/08/26 09:42:46 - mmengine - INFO - Epoch(train) [292][50/63] lr: 1.0000e-05 eta: 11:39:52 time: 0.8505 data_time: 0.0320 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0176 loss: 0.0441 2022/08/26 09:42:50 - mmengine - INFO - Epoch(train) [292][55/63] lr: 1.0000e-05 eta: 11:39:52 time: 0.8561 data_time: 0.0308 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0206 loss: 0.0520 2022/08/26 09:42:55 - mmengine - INFO - Epoch(train) [292][60/63] lr: 1.0000e-05 eta: 11:39:17 time: 0.9055 data_time: 0.0220 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0200 loss: 0.0498 2022/08/26 09:42:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:44:25 - mmengine - INFO - Epoch(train) [293][5/63] lr: 1.0000e-05 eta: 11:39:17 time: 9.2173 data_time: 8.3476 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0150 loss: 0.0369 2022/08/26 09:44:29 - mmengine - INFO - Epoch(train) [293][10/63] lr: 1.0000e-05 eta: 11:39:57 time: 9.2410 data_time: 8.3776 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0151 loss: 0.0351 2022/08/26 09:44:34 - mmengine - INFO - Epoch(train) [293][15/63] lr: 1.0000e-05 eta: 11:39:57 time: 0.8850 data_time: 0.0395 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0155 loss: 0.0361 2022/08/26 09:44:38 - mmengine - INFO - Epoch(train) [293][20/63] lr: 1.0000e-05 eta: 11:39:21 time: 0.8641 data_time: 0.0194 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0156 loss: 0.0364 2022/08/26 09:44:42 - mmengine - INFO - Epoch(train) [293][25/63] lr: 1.0000e-05 eta: 11:39:21 time: 0.8747 data_time: 0.0285 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0170 loss: 0.0391 2022/08/26 09:44:47 - mmengine - INFO - Epoch(train) [293][30/63] lr: 1.0000e-05 eta: 11:38:46 time: 0.8933 data_time: 0.0261 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0186 loss: 0.0445 2022/08/26 09:44:51 - mmengine - INFO - Epoch(train) [293][35/63] lr: 1.0000e-05 eta: 11:38:46 time: 0.8945 data_time: 0.0315 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0186 loss: 0.0462 2022/08/26 09:44:56 - mmengine - INFO - Epoch(train) [293][40/63] lr: 1.0000e-05 eta: 11:38:11 time: 0.8646 data_time: 0.0272 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0170 loss: 0.0404 2022/08/26 09:45:00 - mmengine - INFO - Epoch(train) [293][45/63] lr: 1.0000e-05 eta: 11:38:11 time: 0.8795 data_time: 0.0569 memory: 25127 loss_text: 0.0204 loss_kernel: 0.0154 loss: 0.0358 2022/08/26 09:45:05 - mmengine - INFO - Epoch(train) [293][50/63] lr: 1.0000e-05 eta: 11:37:36 time: 0.8968 data_time: 0.0645 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0178 loss: 0.0429 2022/08/26 09:45:09 - mmengine - INFO - Epoch(train) [293][55/63] lr: 1.0000e-05 eta: 11:37:36 time: 0.8607 data_time: 0.0247 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0203 loss: 0.0504 2022/08/26 09:45:13 - mmengine - INFO - Epoch(train) [293][60/63] lr: 1.0000e-05 eta: 11:37:01 time: 0.8592 data_time: 0.0198 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0182 loss: 0.0454 2022/08/26 09:45:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:46:43 - mmengine - INFO - Epoch(train) [294][5/63] lr: 1.0000e-05 eta: 11:37:01 time: 9.1446 data_time: 8.3426 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0174 loss: 0.0428 2022/08/26 09:46:47 - mmengine - INFO - Epoch(train) [294][10/63] lr: 1.0000e-05 eta: 11:37:39 time: 9.1857 data_time: 8.3502 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0175 loss: 0.0430 2022/08/26 09:46:52 - mmengine - INFO - Epoch(train) [294][15/63] lr: 1.0000e-05 eta: 11:37:39 time: 0.8626 data_time: 0.0400 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0173 loss: 0.0435 2022/08/26 09:46:56 - mmengine - INFO - Epoch(train) [294][20/63] lr: 1.0000e-05 eta: 11:37:04 time: 0.8705 data_time: 0.0348 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0188 loss: 0.0497 2022/08/26 09:47:00 - mmengine - INFO - Epoch(train) [294][25/63] lr: 1.0000e-05 eta: 11:37:04 time: 0.8643 data_time: 0.0283 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0187 loss: 0.0479 2022/08/26 09:47:05 - mmengine - INFO - Epoch(train) [294][30/63] lr: 1.0000e-05 eta: 11:36:29 time: 0.8765 data_time: 0.0374 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0189 loss: 0.0472 2022/08/26 09:47:09 - mmengine - INFO - Epoch(train) [294][35/63] lr: 1.0000e-05 eta: 11:36:29 time: 0.8753 data_time: 0.0283 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0174 loss: 0.0420 2022/08/26 09:47:14 - mmengine - INFO - Epoch(train) [294][40/63] lr: 1.0000e-05 eta: 11:35:54 time: 0.8882 data_time: 0.0230 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0154 loss: 0.0369 2022/08/26 09:47:18 - mmengine - INFO - Epoch(train) [294][45/63] lr: 1.0000e-05 eta: 11:35:54 time: 0.9047 data_time: 0.0358 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0181 loss: 0.0439 2022/08/26 09:47:22 - mmengine - INFO - Epoch(train) [294][50/63] lr: 1.0000e-05 eta: 11:35:19 time: 0.8737 data_time: 0.0341 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0185 loss: 0.0434 2022/08/26 09:47:27 - mmengine - INFO - Epoch(train) [294][55/63] lr: 1.0000e-05 eta: 11:35:19 time: 0.8694 data_time: 0.0283 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0179 loss: 0.0441 2022/08/26 09:47:31 - mmengine - INFO - Epoch(train) [294][60/63] lr: 1.0000e-05 eta: 11:34:44 time: 0.8656 data_time: 0.0236 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0187 loss: 0.0465 2022/08/26 09:47:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:49:01 - mmengine - INFO - Epoch(train) [295][5/63] lr: 1.0000e-05 eta: 11:34:44 time: 9.2046 data_time: 8.4127 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0149 loss: 0.0370 2022/08/26 09:49:06 - mmengine - INFO - Epoch(train) [295][10/63] lr: 1.0000e-05 eta: 11:35:23 time: 9.2539 data_time: 8.4318 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0151 loss: 0.0374 2022/08/26 09:49:10 - mmengine - INFO - Epoch(train) [295][15/63] lr: 1.0000e-05 eta: 11:35:23 time: 0.8559 data_time: 0.0382 memory: 25127 loss_text: 0.0214 loss_kernel: 0.0158 loss: 0.0372 2022/08/26 09:49:14 - mmengine - INFO - Epoch(train) [295][20/63] lr: 1.0000e-05 eta: 11:34:48 time: 0.8571 data_time: 0.0351 memory: 25127 loss_text: 0.0222 loss_kernel: 0.0165 loss: 0.0388 2022/08/26 09:49:19 - mmengine - INFO - Epoch(train) [295][25/63] lr: 1.0000e-05 eta: 11:34:48 time: 0.8486 data_time: 0.0385 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0179 loss: 0.0404 2022/08/26 09:49:23 - mmengine - INFO - Epoch(train) [295][30/63] lr: 1.0000e-05 eta: 11:34:12 time: 0.8525 data_time: 0.0347 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0170 loss: 0.0382 2022/08/26 09:49:28 - mmengine - INFO - Epoch(train) [295][35/63] lr: 1.0000e-05 eta: 11:34:12 time: 0.9276 data_time: 0.0362 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0180 loss: 0.0432 2022/08/26 09:49:32 - mmengine - INFO - Epoch(train) [295][40/63] lr: 1.0000e-05 eta: 11:33:38 time: 0.9100 data_time: 0.0260 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0179 loss: 0.0431 2022/08/26 09:49:36 - mmengine - INFO - Epoch(train) [295][45/63] lr: 1.0000e-05 eta: 11:33:38 time: 0.8538 data_time: 0.0293 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0146 loss: 0.0344 2022/08/26 09:49:40 - mmengine - INFO - Epoch(train) [295][50/63] lr: 1.0000e-05 eta: 11:33:02 time: 0.8486 data_time: 0.0285 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0175 loss: 0.0432 2022/08/26 09:49:45 - mmengine - INFO - Epoch(train) [295][55/63] lr: 1.0000e-05 eta: 11:33:02 time: 0.8589 data_time: 0.0254 memory: 25127 loss_text: 0.0301 loss_kernel: 0.0195 loss: 0.0495 2022/08/26 09:49:49 - mmengine - INFO - Epoch(train) [295][60/63] lr: 1.0000e-05 eta: 11:32:27 time: 0.8600 data_time: 0.0298 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0199 loss: 0.0522 2022/08/26 09:49:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:51:19 - mmengine - INFO - Epoch(train) [296][5/63] lr: 1.0000e-05 eta: 11:32:27 time: 9.1821 data_time: 8.3788 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0162 loss: 0.0391 2022/08/26 09:51:24 - mmengine - INFO - Epoch(train) [296][10/63] lr: 1.0000e-05 eta: 11:33:06 time: 9.2498 data_time: 8.3914 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0164 loss: 0.0400 2022/08/26 09:51:28 - mmengine - INFO - Epoch(train) [296][15/63] lr: 1.0000e-05 eta: 11:33:06 time: 0.8671 data_time: 0.0352 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0187 loss: 0.0470 2022/08/26 09:51:32 - mmengine - INFO - Epoch(train) [296][20/63] lr: 1.0000e-05 eta: 11:32:31 time: 0.8646 data_time: 0.0292 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0172 loss: 0.0428 2022/08/26 09:51:37 - mmengine - INFO - Epoch(train) [296][25/63] lr: 1.0000e-05 eta: 11:32:31 time: 0.8694 data_time: 0.0325 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0152 loss: 0.0371 2022/08/26 09:51:41 - mmengine - INFO - Epoch(train) [296][30/63] lr: 1.0000e-05 eta: 11:31:56 time: 0.8798 data_time: 0.0332 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0156 loss: 0.0376 2022/08/26 09:51:46 - mmengine - INFO - Epoch(train) [296][35/63] lr: 1.0000e-05 eta: 11:31:56 time: 0.8826 data_time: 0.0289 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0167 loss: 0.0420 2022/08/26 09:51:50 - mmengine - INFO - Epoch(train) [296][40/63] lr: 1.0000e-05 eta: 11:31:21 time: 0.8789 data_time: 0.0303 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0167 loss: 0.0412 2022/08/26 09:51:54 - mmengine - INFO - Epoch(train) [296][45/63] lr: 1.0000e-05 eta: 11:31:21 time: 0.8908 data_time: 0.0339 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0164 loss: 0.0376 2022/08/26 09:51:59 - mmengine - INFO - Epoch(train) [296][50/63] lr: 1.0000e-05 eta: 11:30:46 time: 0.8845 data_time: 0.0302 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0165 loss: 0.0382 2022/08/26 09:52:03 - mmengine - INFO - Epoch(train) [296][55/63] lr: 1.0000e-05 eta: 11:30:46 time: 0.8567 data_time: 0.0298 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0186 loss: 0.0480 2022/08/26 09:52:07 - mmengine - INFO - Epoch(train) [296][60/63] lr: 1.0000e-05 eta: 11:30:11 time: 0.8665 data_time: 0.0317 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0223 loss: 0.0595 2022/08/26 09:52:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:53:38 - mmengine - INFO - Epoch(train) [297][5/63] lr: 1.0000e-05 eta: 11:30:11 time: 9.2169 data_time: 8.4012 memory: 25127 loss_text: 0.0349 loss_kernel: 0.0221 loss: 0.0570 2022/08/26 09:53:42 - mmengine - INFO - Epoch(train) [297][10/63] lr: 1.0000e-05 eta: 11:30:49 time: 9.2542 data_time: 8.4039 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0178 loss: 0.0411 2022/08/26 09:53:47 - mmengine - INFO - Epoch(train) [297][15/63] lr: 1.0000e-05 eta: 11:30:49 time: 0.8844 data_time: 0.0207 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0184 loss: 0.0431 2022/08/26 09:53:51 - mmengine - INFO - Epoch(train) [297][20/63] lr: 1.0000e-05 eta: 11:30:15 time: 0.9017 data_time: 0.0248 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0179 loss: 0.0426 2022/08/26 09:53:55 - mmengine - INFO - Epoch(train) [297][25/63] lr: 1.0000e-05 eta: 11:30:15 time: 0.8617 data_time: 0.0302 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0154 loss: 0.0363 2022/08/26 09:54:00 - mmengine - INFO - Epoch(train) [297][30/63] lr: 1.0000e-05 eta: 11:29:40 time: 0.8654 data_time: 0.0260 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0173 loss: 0.0433 2022/08/26 09:54:04 - mmengine - INFO - Epoch(train) [297][35/63] lr: 1.0000e-05 eta: 11:29:40 time: 0.8925 data_time: 0.0247 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0187 loss: 0.0447 2022/08/26 09:54:09 - mmengine - INFO - Epoch(train) [297][40/63] lr: 1.0000e-05 eta: 11:29:05 time: 0.8953 data_time: 0.0280 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0161 loss: 0.0363 2022/08/26 09:54:13 - mmengine - INFO - Epoch(train) [297][45/63] lr: 1.0000e-05 eta: 11:29:05 time: 0.8858 data_time: 0.0352 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0156 loss: 0.0366 2022/08/26 09:54:17 - mmengine - INFO - Epoch(train) [297][50/63] lr: 1.0000e-05 eta: 11:28:30 time: 0.8554 data_time: 0.0292 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0159 loss: 0.0371 2022/08/26 09:54:22 - mmengine - INFO - Epoch(train) [297][55/63] lr: 1.0000e-05 eta: 11:28:30 time: 0.8800 data_time: 0.0264 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0188 loss: 0.0473 2022/08/26 09:54:26 - mmengine - INFO - Epoch(train) [297][60/63] lr: 1.0000e-05 eta: 11:27:55 time: 0.8796 data_time: 0.0278 memory: 25127 loss_text: 0.0315 loss_kernel: 0.0208 loss: 0.0523 2022/08/26 09:54:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:55:58 - mmengine - INFO - Epoch(train) [298][5/63] lr: 1.0000e-05 eta: 11:27:55 time: 9.3100 data_time: 8.5203 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0163 loss: 0.0397 2022/08/26 09:56:02 - mmengine - INFO - Epoch(train) [298][10/63] lr: 1.0000e-05 eta: 11:28:34 time: 9.3758 data_time: 8.5465 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0162 loss: 0.0381 2022/08/26 09:56:07 - mmengine - INFO - Epoch(train) [298][15/63] lr: 1.0000e-05 eta: 11:28:34 time: 0.8959 data_time: 0.0434 memory: 25127 loss_text: 0.0222 loss_kernel: 0.0169 loss: 0.0392 2022/08/26 09:56:11 - mmengine - INFO - Epoch(train) [298][20/63] lr: 1.0000e-05 eta: 11:27:59 time: 0.8740 data_time: 0.0239 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0170 loss: 0.0381 2022/08/26 09:56:15 - mmengine - INFO - Epoch(train) [298][25/63] lr: 1.0000e-05 eta: 11:27:59 time: 0.8458 data_time: 0.0359 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0189 loss: 0.0423 2022/08/26 09:56:19 - mmengine - INFO - Epoch(train) [298][30/63] lr: 1.0000e-05 eta: 11:27:24 time: 0.8359 data_time: 0.0270 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0201 loss: 0.0484 2022/08/26 09:56:24 - mmengine - INFO - Epoch(train) [298][35/63] lr: 1.0000e-05 eta: 11:27:24 time: 0.8346 data_time: 0.0239 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0176 loss: 0.0455 2022/08/26 09:56:28 - mmengine - INFO - Epoch(train) [298][40/63] lr: 1.0000e-05 eta: 11:26:50 time: 0.8952 data_time: 0.0325 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0158 loss: 0.0390 2022/08/26 09:56:32 - mmengine - INFO - Epoch(train) [298][45/63] lr: 1.0000e-05 eta: 11:26:50 time: 0.8860 data_time: 0.0278 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0154 loss: 0.0364 2022/08/26 09:56:37 - mmengine - INFO - Epoch(train) [298][50/63] lr: 1.0000e-05 eta: 11:26:15 time: 0.8458 data_time: 0.0330 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0149 loss: 0.0350 2022/08/26 09:56:41 - mmengine - INFO - Epoch(train) [298][55/63] lr: 1.0000e-05 eta: 11:26:15 time: 0.8444 data_time: 0.0285 memory: 25127 loss_text: 0.0199 loss_kernel: 0.0153 loss: 0.0353 2022/08/26 09:56:45 - mmengine - INFO - Epoch(train) [298][60/63] lr: 1.0000e-05 eta: 11:25:40 time: 0.8645 data_time: 0.0197 memory: 25127 loss_text: 0.0303 loss_kernel: 0.0194 loss: 0.0497 2022/08/26 09:56:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 09:58:16 - mmengine - INFO - Epoch(train) [299][5/63] lr: 1.0000e-05 eta: 11:25:40 time: 9.2472 data_time: 8.4137 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0175 loss: 0.0404 2022/08/26 09:58:20 - mmengine - INFO - Epoch(train) [299][10/63] lr: 1.0000e-05 eta: 11:26:17 time: 9.2714 data_time: 8.4448 memory: 25127 loss_text: 0.0214 loss_kernel: 0.0167 loss: 0.0380 2022/08/26 09:58:25 - mmengine - INFO - Epoch(train) [299][15/63] lr: 1.0000e-05 eta: 11:26:17 time: 0.8479 data_time: 0.0432 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0190 loss: 0.0440 2022/08/26 09:58:29 - mmengine - INFO - Epoch(train) [299][20/63] lr: 1.0000e-05 eta: 11:25:42 time: 0.8248 data_time: 0.0230 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0200 loss: 0.0485 2022/08/26 09:58:33 - mmengine - INFO - Epoch(train) [299][25/63] lr: 1.0000e-05 eta: 11:25:42 time: 0.8259 data_time: 0.0299 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0170 loss: 0.0422 2022/08/26 09:58:37 - mmengine - INFO - Epoch(train) [299][30/63] lr: 1.0000e-05 eta: 11:25:07 time: 0.8388 data_time: 0.0264 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0168 loss: 0.0417 2022/08/26 09:58:41 - mmengine - INFO - Epoch(train) [299][35/63] lr: 1.0000e-05 eta: 11:25:07 time: 0.8367 data_time: 0.0289 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0180 loss: 0.0457 2022/08/26 09:58:46 - mmengine - INFO - Epoch(train) [299][40/63] lr: 1.0000e-05 eta: 11:24:32 time: 0.8525 data_time: 0.0268 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0176 loss: 0.0424 2022/08/26 09:58:50 - mmengine - INFO - Epoch(train) [299][45/63] lr: 1.0000e-05 eta: 11:24:32 time: 0.8631 data_time: 0.0283 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0175 loss: 0.0399 2022/08/26 09:58:54 - mmengine - INFO - Epoch(train) [299][50/63] lr: 1.0000e-05 eta: 11:23:57 time: 0.8540 data_time: 0.0348 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0171 loss: 0.0394 2022/08/26 09:58:58 - mmengine - INFO - Epoch(train) [299][55/63] lr: 1.0000e-05 eta: 11:23:57 time: 0.8411 data_time: 0.0314 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0187 loss: 0.0460 2022/08/26 09:59:02 - mmengine - INFO - Epoch(train) [299][60/63] lr: 1.0000e-05 eta: 11:23:22 time: 0.8271 data_time: 0.0211 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0184 loss: 0.0456 2022/08/26 09:59:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:00:33 - mmengine - INFO - Epoch(train) [300][5/63] lr: 1.0000e-05 eta: 11:23:22 time: 9.2223 data_time: 8.4333 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0177 loss: 0.0426 2022/08/26 10:00:38 - mmengine - INFO - Epoch(train) [300][10/63] lr: 1.0000e-05 eta: 11:24:00 time: 9.3309 data_time: 8.4896 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0181 loss: 0.0431 2022/08/26 10:00:42 - mmengine - INFO - Epoch(train) [300][15/63] lr: 1.0000e-05 eta: 11:24:00 time: 0.9090 data_time: 0.0714 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0162 loss: 0.0377 2022/08/26 10:00:47 - mmengine - INFO - Epoch(train) [300][20/63] lr: 1.0000e-05 eta: 11:23:25 time: 0.8643 data_time: 0.0206 memory: 25127 loss_text: 0.0213 loss_kernel: 0.0152 loss: 0.0366 2022/08/26 10:00:51 - mmengine - INFO - Epoch(train) [300][25/63] lr: 1.0000e-05 eta: 11:23:25 time: 0.8820 data_time: 0.0290 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0180 loss: 0.0418 2022/08/26 10:00:56 - mmengine - INFO - Epoch(train) [300][30/63] lr: 1.0000e-05 eta: 11:22:50 time: 0.8926 data_time: 0.0285 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0182 loss: 0.0421 2022/08/26 10:01:00 - mmengine - INFO - Epoch(train) [300][35/63] lr: 1.0000e-05 eta: 11:22:50 time: 0.8728 data_time: 0.0246 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0153 loss: 0.0359 2022/08/26 10:01:04 - mmengine - INFO - Epoch(train) [300][40/63] lr: 1.0000e-05 eta: 11:22:16 time: 0.8803 data_time: 0.0263 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0150 loss: 0.0353 2022/08/26 10:01:09 - mmengine - INFO - Epoch(train) [300][45/63] lr: 1.0000e-05 eta: 11:22:16 time: 0.8850 data_time: 0.0318 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0170 loss: 0.0415 2022/08/26 10:01:13 - mmengine - INFO - Epoch(train) [300][50/63] lr: 1.0000e-05 eta: 11:21:42 time: 0.8877 data_time: 0.0417 memory: 25127 loss_text: 0.0294 loss_kernel: 0.0205 loss: 0.0498 2022/08/26 10:01:18 - mmengine - INFO - Epoch(train) [300][55/63] lr: 1.0000e-05 eta: 11:21:42 time: 0.8949 data_time: 0.0386 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0212 loss: 0.0517 2022/08/26 10:01:22 - mmengine - INFO - Epoch(train) [300][60/63] lr: 1.0000e-05 eta: 11:21:07 time: 0.8689 data_time: 0.0254 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0190 loss: 0.0459 2022/08/26 10:01:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:01:24 - mmengine - INFO - Saving checkpoint at 300 epochs 2022/08/26 10:02:58 - mmengine - INFO - Epoch(train) [301][5/63] lr: 1.0000e-05 eta: 11:21:07 time: 9.2388 data_time: 8.4046 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0173 loss: 0.0391 2022/08/26 10:03:03 - mmengine - INFO - Epoch(train) [301][10/63] lr: 1.0000e-05 eta: 11:21:44 time: 9.2884 data_time: 8.4333 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0188 loss: 0.0431 2022/08/26 10:03:07 - mmengine - INFO - Epoch(train) [301][15/63] lr: 1.0000e-05 eta: 11:21:44 time: 0.9123 data_time: 0.0439 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0194 loss: 0.0444 2022/08/26 10:03:12 - mmengine - INFO - Epoch(train) [301][20/63] lr: 1.0000e-05 eta: 11:21:09 time: 0.8901 data_time: 0.0229 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0165 loss: 0.0382 2022/08/26 10:03:16 - mmengine - INFO - Epoch(train) [301][25/63] lr: 1.0000e-05 eta: 11:21:09 time: 0.8853 data_time: 0.0410 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0177 loss: 0.0428 2022/08/26 10:03:20 - mmengine - INFO - Epoch(train) [301][30/63] lr: 1.0000e-05 eta: 11:20:35 time: 0.8765 data_time: 0.0295 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0182 loss: 0.0429 2022/08/26 10:03:25 - mmengine - INFO - Epoch(train) [301][35/63] lr: 1.0000e-05 eta: 11:20:35 time: 0.8651 data_time: 0.0238 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0159 loss: 0.0354 2022/08/26 10:03:29 - mmengine - INFO - Epoch(train) [301][40/63] lr: 1.0000e-05 eta: 11:20:00 time: 0.8774 data_time: 0.0306 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0158 loss: 0.0392 2022/08/26 10:03:34 - mmengine - INFO - Epoch(train) [301][45/63] lr: 1.0000e-05 eta: 11:20:00 time: 0.8840 data_time: 0.0286 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0172 loss: 0.0419 2022/08/26 10:03:38 - mmengine - INFO - Epoch(train) [301][50/63] lr: 1.0000e-05 eta: 11:19:26 time: 0.8849 data_time: 0.0343 memory: 25127 loss_text: 0.0199 loss_kernel: 0.0160 loss: 0.0359 2022/08/26 10:03:42 - mmengine - INFO - Epoch(train) [301][55/63] lr: 1.0000e-05 eta: 11:19:26 time: 0.8767 data_time: 0.0280 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0171 loss: 0.0418 2022/08/26 10:03:47 - mmengine - INFO - Epoch(train) [301][60/63] lr: 1.0000e-05 eta: 11:18:51 time: 0.8676 data_time: 0.0192 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0175 loss: 0.0430 2022/08/26 10:03:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:05:18 - mmengine - INFO - Epoch(train) [302][5/63] lr: 1.0000e-05 eta: 11:18:51 time: 9.3199 data_time: 8.5103 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0170 loss: 0.0424 2022/08/26 10:05:23 - mmengine - INFO - Epoch(train) [302][10/63] lr: 1.0000e-05 eta: 11:19:28 time: 9.3529 data_time: 8.5337 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0156 loss: 0.0356 2022/08/26 10:05:27 - mmengine - INFO - Epoch(train) [302][15/63] lr: 1.0000e-05 eta: 11:19:28 time: 0.8816 data_time: 0.0404 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0194 loss: 0.0470 2022/08/26 10:05:31 - mmengine - INFO - Epoch(train) [302][20/63] lr: 1.0000e-05 eta: 11:18:54 time: 0.8760 data_time: 0.0201 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0193 loss: 0.0498 2022/08/26 10:05:36 - mmengine - INFO - Epoch(train) [302][25/63] lr: 1.0000e-05 eta: 11:18:54 time: 0.8834 data_time: 0.0329 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0159 loss: 0.0403 2022/08/26 10:05:40 - mmengine - INFO - Epoch(train) [302][30/63] lr: 1.0000e-05 eta: 11:18:20 time: 0.8915 data_time: 0.0357 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0155 loss: 0.0375 2022/08/26 10:05:45 - mmengine - INFO - Epoch(train) [302][35/63] lr: 1.0000e-05 eta: 11:18:20 time: 0.8603 data_time: 0.0254 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0154 loss: 0.0351 2022/08/26 10:05:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:05:49 - mmengine - INFO - Epoch(train) [302][40/63] lr: 1.0000e-05 eta: 11:17:45 time: 0.8859 data_time: 0.0294 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0157 loss: 0.0358 2022/08/26 10:05:54 - mmengine - INFO - Epoch(train) [302][45/63] lr: 1.0000e-05 eta: 11:17:45 time: 0.8931 data_time: 0.0388 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0169 loss: 0.0411 2022/08/26 10:05:58 - mmengine - INFO - Epoch(train) [302][50/63] lr: 1.0000e-05 eta: 11:17:11 time: 0.8576 data_time: 0.0328 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0184 loss: 0.0467 2022/08/26 10:06:02 - mmengine - INFO - Epoch(train) [302][55/63] lr: 1.0000e-05 eta: 11:17:11 time: 0.8499 data_time: 0.0250 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0193 loss: 0.0489 2022/08/26 10:06:07 - mmengine - INFO - Epoch(train) [302][60/63] lr: 1.0000e-05 eta: 11:16:36 time: 0.8699 data_time: 0.0215 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0177 loss: 0.0434 2022/08/26 10:06:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:07:37 - mmengine - INFO - Epoch(train) [303][5/63] lr: 1.0000e-05 eta: 11:16:36 time: 9.2427 data_time: 8.4064 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0175 loss: 0.0417 2022/08/26 10:07:42 - mmengine - INFO - Epoch(train) [303][10/63] lr: 1.0000e-05 eta: 11:17:12 time: 9.2838 data_time: 8.4251 memory: 25127 loss_text: 0.0225 loss_kernel: 0.0178 loss: 0.0402 2022/08/26 10:07:46 - mmengine - INFO - Epoch(train) [303][15/63] lr: 1.0000e-05 eta: 11:17:12 time: 0.9020 data_time: 0.0334 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0177 loss: 0.0406 2022/08/26 10:07:51 - mmengine - INFO - Epoch(train) [303][20/63] lr: 1.0000e-05 eta: 11:16:38 time: 0.8906 data_time: 0.0262 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0149 loss: 0.0348 2022/08/26 10:07:55 - mmengine - INFO - Epoch(train) [303][25/63] lr: 1.0000e-05 eta: 11:16:38 time: 0.8849 data_time: 0.0363 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0162 loss: 0.0367 2022/08/26 10:07:59 - mmengine - INFO - Epoch(train) [303][30/63] lr: 1.0000e-05 eta: 11:16:04 time: 0.8768 data_time: 0.0251 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0190 loss: 0.0441 2022/08/26 10:08:04 - mmengine - INFO - Epoch(train) [303][35/63] lr: 1.0000e-05 eta: 11:16:04 time: 0.8702 data_time: 0.0301 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0216 loss: 0.0557 2022/08/26 10:08:08 - mmengine - INFO - Epoch(train) [303][40/63] lr: 1.0000e-05 eta: 11:15:29 time: 0.8776 data_time: 0.0266 memory: 25127 loss_text: 0.0422 loss_kernel: 0.0243 loss: 0.0665 2022/08/26 10:08:13 - mmengine - INFO - Epoch(train) [303][45/63] lr: 1.0000e-05 eta: 11:15:29 time: 0.8862 data_time: 0.0269 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0200 loss: 0.0519 2022/08/26 10:08:17 - mmengine - INFO - Epoch(train) [303][50/63] lr: 1.0000e-05 eta: 11:14:55 time: 0.8857 data_time: 0.0344 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0164 loss: 0.0395 2022/08/26 10:08:21 - mmengine - INFO - Epoch(train) [303][55/63] lr: 1.0000e-05 eta: 11:14:55 time: 0.8444 data_time: 0.0222 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0167 loss: 0.0407 2022/08/26 10:08:25 - mmengine - INFO - Epoch(train) [303][60/63] lr: 1.0000e-05 eta: 11:14:20 time: 0.8286 data_time: 0.0187 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0150 loss: 0.0355 2022/08/26 10:08:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:09:55 - mmengine - INFO - Epoch(train) [304][5/63] lr: 1.0000e-05 eta: 11:14:20 time: 9.1628 data_time: 8.2733 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0180 loss: 0.0428 2022/08/26 10:10:00 - mmengine - INFO - Epoch(train) [304][10/63] lr: 1.0000e-05 eta: 11:14:54 time: 9.1597 data_time: 8.2899 memory: 25127 loss_text: 0.0263 loss_kernel: 0.0191 loss: 0.0454 2022/08/26 10:10:04 - mmengine - INFO - Epoch(train) [304][15/63] lr: 1.0000e-05 eta: 11:14:54 time: 0.9161 data_time: 0.0312 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0191 loss: 0.0475 2022/08/26 10:10:09 - mmengine - INFO - Epoch(train) [304][20/63] lr: 1.0000e-05 eta: 11:14:20 time: 0.9061 data_time: 0.0281 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0168 loss: 0.0407 2022/08/26 10:10:13 - mmengine - INFO - Epoch(train) [304][25/63] lr: 1.0000e-05 eta: 11:14:20 time: 0.9031 data_time: 0.0363 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0160 loss: 0.0372 2022/08/26 10:10:18 - mmengine - INFO - Epoch(train) [304][30/63] lr: 1.0000e-05 eta: 11:13:46 time: 0.8998 data_time: 0.0341 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0159 loss: 0.0375 2022/08/26 10:10:22 - mmengine - INFO - Epoch(train) [304][35/63] lr: 1.0000e-05 eta: 11:13:46 time: 0.8828 data_time: 0.0310 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0167 loss: 0.0414 2022/08/26 10:10:27 - mmengine - INFO - Epoch(train) [304][40/63] lr: 1.0000e-05 eta: 11:13:12 time: 0.8772 data_time: 0.0279 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0163 loss: 0.0400 2022/08/26 10:10:31 - mmengine - INFO - Epoch(train) [304][45/63] lr: 1.0000e-05 eta: 11:13:12 time: 0.8737 data_time: 0.0276 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0169 loss: 0.0399 2022/08/26 10:10:36 - mmengine - INFO - Epoch(train) [304][50/63] lr: 1.0000e-05 eta: 11:12:38 time: 0.9017 data_time: 0.0303 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0175 loss: 0.0417 2022/08/26 10:10:40 - mmengine - INFO - Epoch(train) [304][55/63] lr: 1.0000e-05 eta: 11:12:38 time: 0.8937 data_time: 0.0268 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0161 loss: 0.0385 2022/08/26 10:10:44 - mmengine - INFO - Epoch(train) [304][60/63] lr: 1.0000e-05 eta: 11:12:04 time: 0.8636 data_time: 0.0216 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0161 loss: 0.0377 2022/08/26 10:10:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:12:14 - mmengine - INFO - Epoch(train) [305][5/63] lr: 1.0000e-05 eta: 11:12:04 time: 9.1471 data_time: 8.3442 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0168 loss: 0.0410 2022/08/26 10:12:19 - mmengine - INFO - Epoch(train) [305][10/63] lr: 1.0000e-05 eta: 11:12:38 time: 9.2305 data_time: 8.3839 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0175 loss: 0.0430 2022/08/26 10:12:23 - mmengine - INFO - Epoch(train) [305][15/63] lr: 1.0000e-05 eta: 11:12:38 time: 0.8818 data_time: 0.0529 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0176 loss: 0.0430 2022/08/26 10:12:28 - mmengine - INFO - Epoch(train) [305][20/63] lr: 1.0000e-05 eta: 11:12:04 time: 0.8669 data_time: 0.0184 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0163 loss: 0.0400 2022/08/26 10:12:32 - mmengine - INFO - Epoch(train) [305][25/63] lr: 1.0000e-05 eta: 11:12:04 time: 0.8720 data_time: 0.0273 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0172 loss: 0.0426 2022/08/26 10:12:36 - mmengine - INFO - Epoch(train) [305][30/63] lr: 1.0000e-05 eta: 11:11:30 time: 0.8413 data_time: 0.0235 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0160 loss: 0.0379 2022/08/26 10:12:41 - mmengine - INFO - Epoch(train) [305][35/63] lr: 1.0000e-05 eta: 11:11:30 time: 0.8893 data_time: 0.0242 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0152 loss: 0.0364 2022/08/26 10:12:45 - mmengine - INFO - Epoch(train) [305][40/63] lr: 1.0000e-05 eta: 11:10:56 time: 0.9088 data_time: 0.0260 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0169 loss: 0.0405 2022/08/26 10:12:50 - mmengine - INFO - Epoch(train) [305][45/63] lr: 1.0000e-05 eta: 11:10:56 time: 0.8802 data_time: 0.0211 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0166 loss: 0.0399 2022/08/26 10:12:54 - mmengine - INFO - Epoch(train) [305][50/63] lr: 1.0000e-05 eta: 11:10:22 time: 0.8767 data_time: 0.0271 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0153 loss: 0.0356 2022/08/26 10:12:58 - mmengine - INFO - Epoch(train) [305][55/63] lr: 1.0000e-05 eta: 11:10:22 time: 0.8637 data_time: 0.0259 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0179 loss: 0.0441 2022/08/26 10:13:03 - mmengine - INFO - Epoch(train) [305][60/63] lr: 1.0000e-05 eta: 11:09:48 time: 0.8880 data_time: 0.0231 memory: 25127 loss_text: 0.0307 loss_kernel: 0.0200 loss: 0.0507 2022/08/26 10:13:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:14:32 - mmengine - INFO - Epoch(train) [306][5/63] lr: 1.0000e-05 eta: 11:09:48 time: 9.1142 data_time: 8.2711 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0169 loss: 0.0417 2022/08/26 10:14:36 - mmengine - INFO - Epoch(train) [306][10/63] lr: 1.0000e-05 eta: 11:10:21 time: 9.1300 data_time: 8.2892 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0188 loss: 0.0485 2022/08/26 10:14:41 - mmengine - INFO - Epoch(train) [306][15/63] lr: 1.0000e-05 eta: 11:10:21 time: 0.8666 data_time: 0.0362 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0189 loss: 0.0472 2022/08/26 10:14:45 - mmengine - INFO - Epoch(train) [306][20/63] lr: 1.0000e-05 eta: 11:09:46 time: 0.8551 data_time: 0.0254 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0164 loss: 0.0393 2022/08/26 10:14:49 - mmengine - INFO - Epoch(train) [306][25/63] lr: 1.0000e-05 eta: 11:09:46 time: 0.8557 data_time: 0.0273 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0179 loss: 0.0432 2022/08/26 10:14:53 - mmengine - INFO - Epoch(train) [306][30/63] lr: 1.0000e-05 eta: 11:09:12 time: 0.8466 data_time: 0.0302 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0185 loss: 0.0438 2022/08/26 10:14:58 - mmengine - INFO - Epoch(train) [306][35/63] lr: 1.0000e-05 eta: 11:09:12 time: 0.8492 data_time: 0.0296 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0177 loss: 0.0419 2022/08/26 10:15:02 - mmengine - INFO - Epoch(train) [306][40/63] lr: 1.0000e-05 eta: 11:08:38 time: 0.8375 data_time: 0.0217 memory: 25127 loss_text: 0.0304 loss_kernel: 0.0208 loss: 0.0512 2022/08/26 10:15:06 - mmengine - INFO - Epoch(train) [306][45/63] lr: 1.0000e-05 eta: 11:08:38 time: 0.8183 data_time: 0.0244 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0186 loss: 0.0452 2022/08/26 10:15:10 - mmengine - INFO - Epoch(train) [306][50/63] lr: 1.0000e-05 eta: 11:08:03 time: 0.8203 data_time: 0.0241 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0171 loss: 0.0423 2022/08/26 10:15:14 - mmengine - INFO - Epoch(train) [306][55/63] lr: 1.0000e-05 eta: 11:08:03 time: 0.8329 data_time: 0.0284 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0176 loss: 0.0429 2022/08/26 10:15:18 - mmengine - INFO - Epoch(train) [306][60/63] lr: 1.0000e-05 eta: 11:07:29 time: 0.8385 data_time: 0.0291 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0173 loss: 0.0415 2022/08/26 10:15:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:16:49 - mmengine - INFO - Epoch(train) [307][5/63] lr: 1.0000e-05 eta: 11:07:29 time: 9.1813 data_time: 8.3750 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0174 loss: 0.0419 2022/08/26 10:16:53 - mmengine - INFO - Epoch(train) [307][10/63] lr: 1.0000e-05 eta: 11:08:02 time: 9.2375 data_time: 8.3935 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0188 loss: 0.0465 2022/08/26 10:16:57 - mmengine - INFO - Epoch(train) [307][15/63] lr: 1.0000e-05 eta: 11:08:02 time: 0.8605 data_time: 0.0319 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0184 loss: 0.0440 2022/08/26 10:17:02 - mmengine - INFO - Epoch(train) [307][20/63] lr: 1.0000e-05 eta: 11:07:28 time: 0.8622 data_time: 0.0255 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0171 loss: 0.0390 2022/08/26 10:17:06 - mmengine - INFO - Epoch(train) [307][25/63] lr: 1.0000e-05 eta: 11:07:28 time: 0.8849 data_time: 0.0346 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0169 loss: 0.0416 2022/08/26 10:17:11 - mmengine - INFO - Epoch(train) [307][30/63] lr: 1.0000e-05 eta: 11:06:54 time: 0.8986 data_time: 0.0304 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0191 loss: 0.0487 2022/08/26 10:17:15 - mmengine - INFO - Epoch(train) [307][35/63] lr: 1.0000e-05 eta: 11:06:54 time: 0.8832 data_time: 0.0311 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0181 loss: 0.0437 2022/08/26 10:17:19 - mmengine - INFO - Epoch(train) [307][40/63] lr: 1.0000e-05 eta: 11:06:20 time: 0.8826 data_time: 0.0348 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0160 loss: 0.0368 2022/08/26 10:17:24 - mmengine - INFO - Epoch(train) [307][45/63] lr: 1.0000e-05 eta: 11:06:20 time: 0.8714 data_time: 0.0321 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0164 loss: 0.0367 2022/08/26 10:17:28 - mmengine - INFO - Epoch(train) [307][50/63] lr: 1.0000e-05 eta: 11:05:46 time: 0.8597 data_time: 0.0328 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0183 loss: 0.0429 2022/08/26 10:17:32 - mmengine - INFO - Epoch(train) [307][55/63] lr: 1.0000e-05 eta: 11:05:46 time: 0.8611 data_time: 0.0343 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0188 loss: 0.0478 2022/08/26 10:17:37 - mmengine - INFO - Epoch(train) [307][60/63] lr: 1.0000e-05 eta: 11:05:12 time: 0.8525 data_time: 0.0231 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0187 loss: 0.0480 2022/08/26 10:17:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:19:07 - mmengine - INFO - Epoch(train) [308][5/63] lr: 1.0000e-05 eta: 11:05:12 time: 9.1952 data_time: 8.3925 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0189 loss: 0.0474 2022/08/26 10:19:11 - mmengine - INFO - Epoch(train) [308][10/63] lr: 1.0000e-05 eta: 11:05:45 time: 9.2482 data_time: 8.4014 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0153 loss: 0.0356 2022/08/26 10:19:16 - mmengine - INFO - Epoch(train) [308][15/63] lr: 1.0000e-05 eta: 11:05:45 time: 0.9155 data_time: 0.0321 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0165 loss: 0.0388 2022/08/26 10:19:20 - mmengine - INFO - Epoch(train) [308][20/63] lr: 1.0000e-05 eta: 11:05:12 time: 0.9033 data_time: 0.0345 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0183 loss: 0.0449 2022/08/26 10:19:25 - mmengine - INFO - Epoch(train) [308][25/63] lr: 1.0000e-05 eta: 11:05:12 time: 0.8571 data_time: 0.0271 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0174 loss: 0.0427 2022/08/26 10:19:29 - mmengine - INFO - Epoch(train) [308][30/63] lr: 1.0000e-05 eta: 11:04:38 time: 0.8659 data_time: 0.0236 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0170 loss: 0.0402 2022/08/26 10:19:34 - mmengine - INFO - Epoch(train) [308][35/63] lr: 1.0000e-05 eta: 11:04:38 time: 0.8830 data_time: 0.0309 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0177 loss: 0.0436 2022/08/26 10:19:39 - mmengine - INFO - Epoch(train) [308][40/63] lr: 1.0000e-05 eta: 11:04:05 time: 1.0143 data_time: 0.0265 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0176 loss: 0.0447 2022/08/26 10:19:43 - mmengine - INFO - Epoch(train) [308][45/63] lr: 1.0000e-05 eta: 11:04:05 time: 0.9805 data_time: 0.0244 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0169 loss: 0.0413 2022/08/26 10:19:48 - mmengine - INFO - Epoch(train) [308][50/63] lr: 1.0000e-05 eta: 11:03:31 time: 0.8516 data_time: 0.0288 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0180 loss: 0.0449 2022/08/26 10:19:52 - mmengine - INFO - Epoch(train) [308][55/63] lr: 1.0000e-05 eta: 11:03:31 time: 0.8761 data_time: 0.0262 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0173 loss: 0.0438 2022/08/26 10:19:57 - mmengine - INFO - Epoch(train) [308][60/63] lr: 1.0000e-05 eta: 11:02:57 time: 0.8913 data_time: 0.0235 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0171 loss: 0.0380 2022/08/26 10:19:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:21:27 - mmengine - INFO - Epoch(train) [309][5/63] lr: 1.0000e-05 eta: 11:02:57 time: 9.1971 data_time: 8.3872 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0201 loss: 0.0487 2022/08/26 10:21:31 - mmengine - INFO - Epoch(train) [309][10/63] lr: 1.0000e-05 eta: 11:03:30 time: 9.2169 data_time: 8.4034 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0167 loss: 0.0411 2022/08/26 10:21:36 - mmengine - INFO - Epoch(train) [309][15/63] lr: 1.0000e-05 eta: 11:03:30 time: 0.8458 data_time: 0.0339 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0165 loss: 0.0382 2022/08/26 10:21:40 - mmengine - INFO - Epoch(train) [309][20/63] lr: 1.0000e-05 eta: 11:02:56 time: 0.8527 data_time: 0.0294 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0170 loss: 0.0395 2022/08/26 10:21:44 - mmengine - INFO - Epoch(train) [309][25/63] lr: 1.0000e-05 eta: 11:02:56 time: 0.8361 data_time: 0.0319 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0162 loss: 0.0377 2022/08/26 10:21:48 - mmengine - INFO - Epoch(train) [309][30/63] lr: 1.0000e-05 eta: 11:02:22 time: 0.8332 data_time: 0.0345 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0161 loss: 0.0372 2022/08/26 10:21:52 - mmengine - INFO - Epoch(train) [309][35/63] lr: 1.0000e-05 eta: 11:02:22 time: 0.8321 data_time: 0.0307 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0155 loss: 0.0362 2022/08/26 10:21:57 - mmengine - INFO - Epoch(train) [309][40/63] lr: 1.0000e-05 eta: 11:01:48 time: 0.8387 data_time: 0.0243 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0149 loss: 0.0350 2022/08/26 10:22:01 - mmengine - INFO - Epoch(train) [309][45/63] lr: 1.0000e-05 eta: 11:01:48 time: 0.8576 data_time: 0.0332 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0163 loss: 0.0401 2022/08/26 10:22:05 - mmengine - INFO - Epoch(train) [309][50/63] lr: 1.0000e-05 eta: 11:01:13 time: 0.8357 data_time: 0.0290 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0164 loss: 0.0398 2022/08/26 10:22:10 - mmengine - INFO - Epoch(train) [309][55/63] lr: 1.0000e-05 eta: 11:01:13 time: 0.8806 data_time: 0.0245 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0178 loss: 0.0436 2022/08/26 10:22:14 - mmengine - INFO - Epoch(train) [309][60/63] lr: 1.0000e-05 eta: 11:00:40 time: 0.8995 data_time: 0.0256 memory: 25127 loss_text: 0.0368 loss_kernel: 0.0222 loss: 0.0591 2022/08/26 10:22:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:23:44 - mmengine - INFO - Epoch(train) [310][5/63] lr: 1.0000e-05 eta: 11:00:40 time: 9.2030 data_time: 8.3931 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0167 loss: 0.0416 2022/08/26 10:23:49 - mmengine - INFO - Epoch(train) [310][10/63] lr: 1.0000e-05 eta: 11:01:13 time: 9.2764 data_time: 8.4182 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0161 loss: 0.0380 2022/08/26 10:23:53 - mmengine - INFO - Epoch(train) [310][15/63] lr: 1.0000e-05 eta: 11:01:13 time: 0.8752 data_time: 0.0373 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0191 loss: 0.0448 2022/08/26 10:23:57 - mmengine - INFO - Epoch(train) [310][20/63] lr: 1.0000e-05 eta: 11:00:39 time: 0.8477 data_time: 0.0180 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0180 loss: 0.0425 2022/08/26 10:24:02 - mmengine - INFO - Epoch(train) [310][25/63] lr: 1.0000e-05 eta: 11:00:39 time: 0.8743 data_time: 0.0501 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0165 loss: 0.0415 2022/08/26 10:24:06 - mmengine - INFO - Epoch(train) [310][30/63] lr: 1.0000e-05 eta: 11:00:05 time: 0.8882 data_time: 0.0410 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0188 loss: 0.0487 2022/08/26 10:24:11 - mmengine - INFO - Epoch(train) [310][35/63] lr: 1.0000e-05 eta: 11:00:05 time: 0.8793 data_time: 0.0230 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0172 loss: 0.0414 2022/08/26 10:24:15 - mmengine - INFO - Epoch(train) [310][40/63] lr: 1.0000e-05 eta: 10:59:31 time: 0.8785 data_time: 0.0339 memory: 25127 loss_text: 0.0222 loss_kernel: 0.0159 loss: 0.0381 2022/08/26 10:24:19 - mmengine - INFO - Epoch(train) [310][45/63] lr: 1.0000e-05 eta: 10:59:31 time: 0.8764 data_time: 0.0294 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0178 loss: 0.0449 2022/08/26 10:24:24 - mmengine - INFO - Epoch(train) [310][50/63] lr: 1.0000e-05 eta: 10:58:58 time: 0.8663 data_time: 0.0336 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0193 loss: 0.0485 2022/08/26 10:24:28 - mmengine - INFO - Epoch(train) [310][55/63] lr: 1.0000e-05 eta: 10:58:58 time: 0.8951 data_time: 0.0345 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0191 loss: 0.0478 2022/08/26 10:24:33 - mmengine - INFO - Epoch(train) [310][60/63] lr: 1.0000e-05 eta: 10:58:24 time: 0.8906 data_time: 0.0233 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0190 loss: 0.0477 2022/08/26 10:24:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:26:02 - mmengine - INFO - Epoch(train) [311][5/63] lr: 1.0000e-05 eta: 10:58:24 time: 9.1462 data_time: 8.3362 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0171 loss: 0.0418 2022/08/26 10:26:07 - mmengine - INFO - Epoch(train) [311][10/63] lr: 1.0000e-05 eta: 10:58:56 time: 9.2141 data_time: 8.3510 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0198 loss: 0.0481 2022/08/26 10:26:12 - mmengine - INFO - Epoch(train) [311][15/63] lr: 1.0000e-05 eta: 10:58:56 time: 0.9132 data_time: 0.0385 memory: 25127 loss_text: 0.0338 loss_kernel: 0.0216 loss: 0.0554 2022/08/26 10:26:16 - mmengine - INFO - Epoch(train) [311][20/63] lr: 1.0000e-05 eta: 10:58:22 time: 0.8910 data_time: 0.0342 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0179 loss: 0.0463 2022/08/26 10:26:20 - mmengine - INFO - Epoch(train) [311][25/63] lr: 1.0000e-05 eta: 10:58:22 time: 0.8629 data_time: 0.0314 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0166 loss: 0.0415 2022/08/26 10:26:25 - mmengine - INFO - Epoch(train) [311][30/63] lr: 1.0000e-05 eta: 10:57:48 time: 0.8705 data_time: 0.0299 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0169 loss: 0.0424 2022/08/26 10:26:29 - mmengine - INFO - Epoch(train) [311][35/63] lr: 1.0000e-05 eta: 10:57:48 time: 0.8650 data_time: 0.0232 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0163 loss: 0.0369 2022/08/26 10:26:33 - mmengine - INFO - Epoch(train) [311][40/63] lr: 1.0000e-05 eta: 10:57:15 time: 0.8708 data_time: 0.0289 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0204 loss: 0.0495 2022/08/26 10:26:38 - mmengine - INFO - Epoch(train) [311][45/63] lr: 1.0000e-05 eta: 10:57:15 time: 0.8732 data_time: 0.0391 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0203 loss: 0.0527 2022/08/26 10:26:42 - mmengine - INFO - Epoch(train) [311][50/63] lr: 1.0000e-05 eta: 10:56:41 time: 0.8597 data_time: 0.0285 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0180 loss: 0.0461 2022/08/26 10:26:46 - mmengine - INFO - Epoch(train) [311][55/63] lr: 1.0000e-05 eta: 10:56:41 time: 0.8840 data_time: 0.0257 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0187 loss: 0.0477 2022/08/26 10:26:51 - mmengine - INFO - Epoch(train) [311][60/63] lr: 1.0000e-05 eta: 10:56:08 time: 0.9053 data_time: 0.0288 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0178 loss: 0.0430 2022/08/26 10:26:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:28:21 - mmengine - INFO - Epoch(train) [312][5/63] lr: 1.0000e-05 eta: 10:56:08 time: 9.1433 data_time: 8.3485 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0190 loss: 0.0480 2022/08/26 10:28:25 - mmengine - INFO - Epoch(train) [312][10/63] lr: 1.0000e-05 eta: 10:56:39 time: 9.1686 data_time: 8.3675 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0202 loss: 0.0526 2022/08/26 10:28:29 - mmengine - INFO - Epoch(train) [312][15/63] lr: 1.0000e-05 eta: 10:56:39 time: 0.8554 data_time: 0.0305 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0165 loss: 0.0411 2022/08/26 10:28:34 - mmengine - INFO - Epoch(train) [312][20/63] lr: 1.0000e-05 eta: 10:56:05 time: 0.8622 data_time: 0.0249 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0160 loss: 0.0378 2022/08/26 10:28:38 - mmengine - INFO - Epoch(train) [312][25/63] lr: 1.0000e-05 eta: 10:56:05 time: 0.8549 data_time: 0.0461 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0160 loss: 0.0377 2022/08/26 10:28:42 - mmengine - INFO - Epoch(train) [312][30/63] lr: 1.0000e-05 eta: 10:55:31 time: 0.8510 data_time: 0.0385 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0166 loss: 0.0412 2022/08/26 10:28:46 - mmengine - INFO - Epoch(train) [312][35/63] lr: 1.0000e-05 eta: 10:55:31 time: 0.8439 data_time: 0.0314 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0165 loss: 0.0401 2022/08/26 10:28:51 - mmengine - INFO - Epoch(train) [312][40/63] lr: 1.0000e-05 eta: 10:54:57 time: 0.8477 data_time: 0.0338 memory: 25127 loss_text: 0.0192 loss_kernel: 0.0150 loss: 0.0343 2022/08/26 10:28:55 - mmengine - INFO - Epoch(train) [312][45/63] lr: 1.0000e-05 eta: 10:54:57 time: 0.8665 data_time: 0.0302 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0154 loss: 0.0354 2022/08/26 10:28:59 - mmengine - INFO - Epoch(train) [312][50/63] lr: 1.0000e-05 eta: 10:54:24 time: 0.8751 data_time: 0.0331 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0168 loss: 0.0409 2022/08/26 10:29:04 - mmengine - INFO - Epoch(train) [312][55/63] lr: 1.0000e-05 eta: 10:54:24 time: 0.8700 data_time: 0.0311 memory: 25127 loss_text: 0.0326 loss_kernel: 0.0213 loss: 0.0539 2022/08/26 10:29:08 - mmengine - INFO - Epoch(train) [312][60/63] lr: 1.0000e-05 eta: 10:53:50 time: 0.8441 data_time: 0.0210 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0196 loss: 0.0481 2022/08/26 10:29:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:30:38 - mmengine - INFO - Epoch(train) [313][5/63] lr: 1.0000e-05 eta: 10:53:50 time: 9.1868 data_time: 8.3847 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0177 loss: 0.0435 2022/08/26 10:30:42 - mmengine - INFO - Epoch(train) [313][10/63] lr: 1.0000e-05 eta: 10:54:21 time: 9.2444 data_time: 8.3879 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0175 loss: 0.0436 2022/08/26 10:30:47 - mmengine - INFO - Epoch(train) [313][15/63] lr: 1.0000e-05 eta: 10:54:21 time: 0.8907 data_time: 0.0314 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0158 loss: 0.0396 2022/08/26 10:30:52 - mmengine - INFO - Epoch(train) [313][20/63] lr: 1.0000e-05 eta: 10:53:48 time: 0.9049 data_time: 0.0418 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0155 loss: 0.0395 2022/08/26 10:30:56 - mmengine - INFO - Epoch(train) [313][25/63] lr: 1.0000e-05 eta: 10:53:48 time: 0.8660 data_time: 0.0289 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0171 loss: 0.0430 2022/08/26 10:31:00 - mmengine - INFO - Epoch(train) [313][30/63] lr: 1.0000e-05 eta: 10:53:14 time: 0.8491 data_time: 0.0289 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0172 loss: 0.0423 2022/08/26 10:31:04 - mmengine - INFO - Epoch(train) [313][35/63] lr: 1.0000e-05 eta: 10:53:14 time: 0.8390 data_time: 0.0306 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0164 loss: 0.0396 2022/08/26 10:31:08 - mmengine - INFO - Epoch(train) [313][40/63] lr: 1.0000e-05 eta: 10:52:40 time: 0.8345 data_time: 0.0250 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0164 loss: 0.0391 2022/08/26 10:31:13 - mmengine - INFO - Epoch(train) [313][45/63] lr: 1.0000e-05 eta: 10:52:40 time: 0.8663 data_time: 0.0381 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0155 loss: 0.0363 2022/08/26 10:31:17 - mmengine - INFO - Epoch(train) [313][50/63] lr: 1.0000e-05 eta: 10:52:07 time: 0.8502 data_time: 0.0313 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0183 loss: 0.0444 2022/08/26 10:31:21 - mmengine - INFO - Epoch(train) [313][55/63] lr: 1.0000e-05 eta: 10:52:07 time: 0.8582 data_time: 0.0260 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0208 loss: 0.0513 2022/08/26 10:31:26 - mmengine - INFO - Epoch(train) [313][60/63] lr: 1.0000e-05 eta: 10:51:33 time: 0.8684 data_time: 0.0265 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0207 loss: 0.0521 2022/08/26 10:31:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:32:56 - mmengine - INFO - Epoch(train) [314][5/63] lr: 1.0000e-05 eta: 10:51:33 time: 9.1856 data_time: 8.3875 memory: 25127 loss_text: 0.0339 loss_kernel: 0.0196 loss: 0.0535 2022/08/26 10:33:00 - mmengine - INFO - Epoch(train) [314][10/63] lr: 1.0000e-05 eta: 10:52:04 time: 9.2460 data_time: 8.4101 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0188 loss: 0.0489 2022/08/26 10:33:05 - mmengine - INFO - Epoch(train) [314][15/63] lr: 1.0000e-05 eta: 10:52:04 time: 0.8687 data_time: 0.0343 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0192 loss: 0.0485 2022/08/26 10:33:09 - mmengine - INFO - Epoch(train) [314][20/63] lr: 1.0000e-05 eta: 10:51:30 time: 0.8678 data_time: 0.0241 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0155 loss: 0.0375 2022/08/26 10:33:13 - mmengine - INFO - Epoch(train) [314][25/63] lr: 1.0000e-05 eta: 10:51:30 time: 0.8757 data_time: 0.0452 memory: 25127 loss_text: 0.0221 loss_kernel: 0.0154 loss: 0.0375 2022/08/26 10:33:18 - mmengine - INFO - Epoch(train) [314][30/63] lr: 1.0000e-05 eta: 10:50:57 time: 0.8812 data_time: 0.0306 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0167 loss: 0.0405 2022/08/26 10:33:22 - mmengine - INFO - Epoch(train) [314][35/63] lr: 1.0000e-05 eta: 10:50:57 time: 0.8738 data_time: 0.0237 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0186 loss: 0.0462 2022/08/26 10:33:26 - mmengine - INFO - Epoch(train) [314][40/63] lr: 1.0000e-05 eta: 10:50:24 time: 0.8633 data_time: 0.0345 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0203 loss: 0.0522 2022/08/26 10:33:31 - mmengine - INFO - Epoch(train) [314][45/63] lr: 1.0000e-05 eta: 10:50:24 time: 0.8627 data_time: 0.0250 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0196 loss: 0.0487 2022/08/26 10:33:35 - mmengine - INFO - Epoch(train) [314][50/63] lr: 1.0000e-05 eta: 10:49:50 time: 0.8679 data_time: 0.0238 memory: 25127 loss_text: 0.0223 loss_kernel: 0.0175 loss: 0.0398 2022/08/26 10:33:39 - mmengine - INFO - Epoch(train) [314][55/63] lr: 1.0000e-05 eta: 10:49:50 time: 0.8703 data_time: 0.0286 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0181 loss: 0.0427 2022/08/26 10:33:44 - mmengine - INFO - Epoch(train) [314][60/63] lr: 1.0000e-05 eta: 10:49:17 time: 0.8682 data_time: 0.0235 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0194 loss: 0.0486 2022/08/26 10:33:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:35:14 - mmengine - INFO - Epoch(train) [315][5/63] lr: 1.0000e-05 eta: 10:49:17 time: 9.1713 data_time: 8.3730 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0175 loss: 0.0452 2022/08/26 10:35:18 - mmengine - INFO - Epoch(train) [315][10/63] lr: 1.0000e-05 eta: 10:49:47 time: 9.2570 data_time: 8.4055 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0202 loss: 0.0531 2022/08/26 10:35:23 - mmengine - INFO - Epoch(train) [315][15/63] lr: 1.0000e-05 eta: 10:49:47 time: 0.9105 data_time: 0.0485 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0193 loss: 0.0485 2022/08/26 10:35:27 - mmengine - INFO - Epoch(train) [315][20/63] lr: 1.0000e-05 eta: 10:49:14 time: 0.8934 data_time: 0.0359 memory: 25127 loss_text: 0.0192 loss_kernel: 0.0149 loss: 0.0341 2022/08/26 10:35:32 - mmengine - INFO - Epoch(train) [315][25/63] lr: 1.0000e-05 eta: 10:49:14 time: 0.8837 data_time: 0.0433 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0170 loss: 0.0417 2022/08/26 10:35:36 - mmengine - INFO - Epoch(train) [315][30/63] lr: 1.0000e-05 eta: 10:48:41 time: 0.8734 data_time: 0.0340 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0185 loss: 0.0477 2022/08/26 10:35:40 - mmengine - INFO - Epoch(train) [315][35/63] lr: 1.0000e-05 eta: 10:48:41 time: 0.8629 data_time: 0.0307 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0171 loss: 0.0415 2022/08/26 10:35:45 - mmengine - INFO - Epoch(train) [315][40/63] lr: 1.0000e-05 eta: 10:48:07 time: 0.8597 data_time: 0.0271 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0156 loss: 0.0356 2022/08/26 10:35:49 - mmengine - INFO - Epoch(train) [315][45/63] lr: 1.0000e-05 eta: 10:48:07 time: 0.8616 data_time: 0.0333 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0159 loss: 0.0373 2022/08/26 10:35:53 - mmengine - INFO - Epoch(train) [315][50/63] lr: 1.0000e-05 eta: 10:47:34 time: 0.8648 data_time: 0.0340 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0180 loss: 0.0443 2022/08/26 10:35:58 - mmengine - INFO - Epoch(train) [315][55/63] lr: 1.0000e-05 eta: 10:47:34 time: 0.8627 data_time: 0.0261 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0177 loss: 0.0421 2022/08/26 10:36:02 - mmengine - INFO - Epoch(train) [315][60/63] lr: 1.0000e-05 eta: 10:47:00 time: 0.8553 data_time: 0.0216 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0163 loss: 0.0390 2022/08/26 10:36:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:37:31 - mmengine - INFO - Epoch(train) [316][5/63] lr: 1.0000e-05 eta: 10:47:00 time: 9.0958 data_time: 8.3016 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0193 loss: 0.0484 2022/08/26 10:37:36 - mmengine - INFO - Epoch(train) [316][10/63] lr: 1.0000e-05 eta: 10:47:30 time: 9.1433 data_time: 8.3306 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0210 loss: 0.0539 2022/08/26 10:37:40 - mmengine - INFO - Epoch(train) [316][15/63] lr: 1.0000e-05 eta: 10:47:30 time: 0.8757 data_time: 0.0419 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0195 loss: 0.0495 2022/08/26 10:37:44 - mmengine - INFO - Epoch(train) [316][20/63] lr: 1.0000e-05 eta: 10:46:56 time: 0.8560 data_time: 0.0239 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0175 loss: 0.0426 2022/08/26 10:37:48 - mmengine - INFO - Epoch(train) [316][25/63] lr: 1.0000e-05 eta: 10:46:56 time: 0.8183 data_time: 0.0254 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0170 loss: 0.0413 2022/08/26 10:37:53 - mmengine - INFO - Epoch(train) [316][30/63] lr: 1.0000e-05 eta: 10:46:22 time: 0.8283 data_time: 0.0210 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0173 loss: 0.0412 2022/08/26 10:37:57 - mmengine - INFO - Epoch(train) [316][35/63] lr: 1.0000e-05 eta: 10:46:22 time: 0.8405 data_time: 0.0289 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0172 loss: 0.0411 2022/08/26 10:38:01 - mmengine - INFO - Epoch(train) [316][40/63] lr: 1.0000e-05 eta: 10:45:49 time: 0.8435 data_time: 0.0261 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0166 loss: 0.0412 2022/08/26 10:38:05 - mmengine - INFO - Epoch(train) [316][45/63] lr: 1.0000e-05 eta: 10:45:49 time: 0.8287 data_time: 0.0216 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0146 loss: 0.0352 2022/08/26 10:38:09 - mmengine - INFO - Epoch(train) [316][50/63] lr: 1.0000e-05 eta: 10:45:15 time: 0.8147 data_time: 0.0249 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0182 loss: 0.0463 2022/08/26 10:38:13 - mmengine - INFO - Epoch(train) [316][55/63] lr: 1.0000e-05 eta: 10:45:15 time: 0.8266 data_time: 0.0259 memory: 25127 loss_text: 0.0289 loss_kernel: 0.0190 loss: 0.0479 2022/08/26 10:38:17 - mmengine - INFO - Epoch(train) [316][60/63] lr: 1.0000e-05 eta: 10:44:41 time: 0.8276 data_time: 0.0229 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0159 loss: 0.0370 2022/08/26 10:38:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:39:48 - mmengine - INFO - Epoch(train) [317][5/63] lr: 1.0000e-05 eta: 10:44:41 time: 9.1782 data_time: 8.3205 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0174 loss: 0.0430 2022/08/26 10:39:52 - mmengine - INFO - Epoch(train) [317][10/63] lr: 1.0000e-05 eta: 10:45:10 time: 9.1565 data_time: 8.3213 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0169 loss: 0.0414 2022/08/26 10:39:56 - mmengine - INFO - Epoch(train) [317][15/63] lr: 1.0000e-05 eta: 10:45:10 time: 0.8792 data_time: 0.0327 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0175 loss: 0.0423 2022/08/26 10:40:01 - mmengine - INFO - Epoch(train) [317][20/63] lr: 1.0000e-05 eta: 10:44:37 time: 0.8871 data_time: 0.0388 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0170 loss: 0.0406 2022/08/26 10:40:05 - mmengine - INFO - Epoch(train) [317][25/63] lr: 1.0000e-05 eta: 10:44:37 time: 0.8677 data_time: 0.0319 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0164 loss: 0.0400 2022/08/26 10:40:10 - mmengine - INFO - Epoch(train) [317][30/63] lr: 1.0000e-05 eta: 10:44:04 time: 0.8834 data_time: 0.0322 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0151 loss: 0.0349 2022/08/26 10:40:14 - mmengine - INFO - Epoch(train) [317][35/63] lr: 1.0000e-05 eta: 10:44:04 time: 0.8731 data_time: 0.0293 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0181 loss: 0.0428 2022/08/26 10:40:18 - mmengine - INFO - Epoch(train) [317][40/63] lr: 1.0000e-05 eta: 10:43:31 time: 0.8662 data_time: 0.0287 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0179 loss: 0.0436 2022/08/26 10:40:22 - mmengine - INFO - Epoch(train) [317][45/63] lr: 1.0000e-05 eta: 10:43:31 time: 0.8569 data_time: 0.0288 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0153 loss: 0.0361 2022/08/26 10:40:27 - mmengine - INFO - Epoch(train) [317][50/63] lr: 1.0000e-05 eta: 10:42:58 time: 0.8736 data_time: 0.0269 memory: 25127 loss_text: 0.0204 loss_kernel: 0.0149 loss: 0.0353 2022/08/26 10:40:31 - mmengine - INFO - Epoch(train) [317][55/63] lr: 1.0000e-05 eta: 10:42:58 time: 0.8820 data_time: 0.0280 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0163 loss: 0.0390 2022/08/26 10:40:36 - mmengine - INFO - Epoch(train) [317][60/63] lr: 1.0000e-05 eta: 10:42:24 time: 0.8607 data_time: 0.0270 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0168 loss: 0.0395 2022/08/26 10:40:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:42:06 - mmengine - INFO - Epoch(train) [318][5/63] lr: 1.0000e-05 eta: 10:42:24 time: 9.2006 data_time: 8.3956 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0173 loss: 0.0416 2022/08/26 10:42:10 - mmengine - INFO - Epoch(train) [318][10/63] lr: 1.0000e-05 eta: 10:42:54 time: 9.2562 data_time: 8.4154 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0170 loss: 0.0411 2022/08/26 10:42:15 - mmengine - INFO - Epoch(train) [318][15/63] lr: 1.0000e-05 eta: 10:42:54 time: 0.8824 data_time: 0.0384 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0182 loss: 0.0462 2022/08/26 10:42:19 - mmengine - INFO - Epoch(train) [318][20/63] lr: 1.0000e-05 eta: 10:42:21 time: 0.8912 data_time: 0.0311 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0195 loss: 0.0478 2022/08/26 10:42:24 - mmengine - INFO - Epoch(train) [318][25/63] lr: 1.0000e-05 eta: 10:42:21 time: 0.8889 data_time: 0.0390 memory: 25127 loss_text: 0.0204 loss_kernel: 0.0165 loss: 0.0370 2022/08/26 10:42:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:42:28 - mmengine - INFO - Epoch(train) [318][30/63] lr: 1.0000e-05 eta: 10:41:48 time: 0.8827 data_time: 0.0295 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0151 loss: 0.0352 2022/08/26 10:42:33 - mmengine - INFO - Epoch(train) [318][35/63] lr: 1.0000e-05 eta: 10:41:48 time: 0.8805 data_time: 0.0298 memory: 25127 loss_text: 0.0191 loss_kernel: 0.0145 loss: 0.0335 2022/08/26 10:42:37 - mmengine - INFO - Epoch(train) [318][40/63] lr: 1.0000e-05 eta: 10:41:15 time: 0.8851 data_time: 0.0301 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0165 loss: 0.0370 2022/08/26 10:42:41 - mmengine - INFO - Epoch(train) [318][45/63] lr: 1.0000e-05 eta: 10:41:15 time: 0.8864 data_time: 0.0317 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0184 loss: 0.0414 2022/08/26 10:42:46 - mmengine - INFO - Epoch(train) [318][50/63] lr: 1.0000e-05 eta: 10:40:42 time: 0.8873 data_time: 0.0374 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0172 loss: 0.0392 2022/08/26 10:42:50 - mmengine - INFO - Epoch(train) [318][55/63] lr: 1.0000e-05 eta: 10:40:42 time: 0.8767 data_time: 0.0302 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0145 loss: 0.0343 2022/08/26 10:42:55 - mmengine - INFO - Epoch(train) [318][60/63] lr: 1.0000e-05 eta: 10:40:09 time: 0.8698 data_time: 0.0232 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0150 loss: 0.0362 2022/08/26 10:42:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:44:24 - mmengine - INFO - Epoch(train) [319][5/63] lr: 1.0000e-05 eta: 10:40:09 time: 9.0576 data_time: 8.2593 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0215 loss: 0.0539 2022/08/26 10:44:28 - mmengine - INFO - Epoch(train) [319][10/63] lr: 1.0000e-05 eta: 10:40:36 time: 9.0932 data_time: 8.2678 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0209 loss: 0.0518 2022/08/26 10:44:32 - mmengine - INFO - Epoch(train) [319][15/63] lr: 1.0000e-05 eta: 10:40:36 time: 0.8457 data_time: 0.0301 memory: 25127 loss_text: 0.0303 loss_kernel: 0.0194 loss: 0.0497 2022/08/26 10:44:36 - mmengine - INFO - Epoch(train) [319][20/63] lr: 1.0000e-05 eta: 10:40:03 time: 0.8548 data_time: 0.0305 memory: 25127 loss_text: 0.0189 loss_kernel: 0.0148 loss: 0.0336 2022/08/26 10:44:41 - mmengine - INFO - Epoch(train) [319][25/63] lr: 1.0000e-05 eta: 10:40:03 time: 0.8608 data_time: 0.0307 memory: 25127 loss_text: 0.0218 loss_kernel: 0.0161 loss: 0.0379 2022/08/26 10:44:45 - mmengine - INFO - Epoch(train) [319][30/63] lr: 1.0000e-05 eta: 10:39:30 time: 0.8696 data_time: 0.0342 memory: 25127 loss_text: 0.0262 loss_kernel: 0.0181 loss: 0.0444 2022/08/26 10:44:49 - mmengine - INFO - Epoch(train) [319][35/63] lr: 1.0000e-05 eta: 10:39:30 time: 0.8601 data_time: 0.0276 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0166 loss: 0.0405 2022/08/26 10:44:54 - mmengine - INFO - Epoch(train) [319][40/63] lr: 1.0000e-05 eta: 10:38:57 time: 0.8488 data_time: 0.0301 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0170 loss: 0.0445 2022/08/26 10:44:58 - mmengine - INFO - Epoch(train) [319][45/63] lr: 1.0000e-05 eta: 10:38:57 time: 0.8732 data_time: 0.0386 memory: 25127 loss_text: 0.0364 loss_kernel: 0.0209 loss: 0.0572 2022/08/26 10:45:02 - mmengine - INFO - Epoch(train) [319][50/63] lr: 1.0000e-05 eta: 10:38:24 time: 0.8766 data_time: 0.0234 memory: 25127 loss_text: 0.0351 loss_kernel: 0.0215 loss: 0.0566 2022/08/26 10:45:07 - mmengine - INFO - Epoch(train) [319][55/63] lr: 1.0000e-05 eta: 10:38:24 time: 0.8698 data_time: 0.0222 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0182 loss: 0.0452 2022/08/26 10:45:11 - mmengine - INFO - Epoch(train) [319][60/63] lr: 1.0000e-05 eta: 10:37:51 time: 0.8694 data_time: 0.0256 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0191 loss: 0.0490 2022/08/26 10:45:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:46:40 - mmengine - INFO - Epoch(train) [320][5/63] lr: 1.0000e-05 eta: 10:37:51 time: 9.0624 data_time: 8.2753 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0202 loss: 0.0533 2022/08/26 10:46:45 - mmengine - INFO - Epoch(train) [320][10/63] lr: 1.0000e-05 eta: 10:38:18 time: 9.1247 data_time: 8.2958 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0188 loss: 0.0483 2022/08/26 10:46:49 - mmengine - INFO - Epoch(train) [320][15/63] lr: 1.0000e-05 eta: 10:38:18 time: 0.8765 data_time: 0.0404 memory: 25127 loss_text: 0.0264 loss_kernel: 0.0170 loss: 0.0434 2022/08/26 10:46:53 - mmengine - INFO - Epoch(train) [320][20/63] lr: 1.0000e-05 eta: 10:37:45 time: 0.8680 data_time: 0.0227 memory: 25127 loss_text: 0.0213 loss_kernel: 0.0149 loss: 0.0362 2022/08/26 10:46:58 - mmengine - INFO - Epoch(train) [320][25/63] lr: 1.0000e-05 eta: 10:37:45 time: 0.8778 data_time: 0.0322 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0170 loss: 0.0420 2022/08/26 10:47:02 - mmengine - INFO - Epoch(train) [320][30/63] lr: 1.0000e-05 eta: 10:37:12 time: 0.8748 data_time: 0.0353 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0191 loss: 0.0481 2022/08/26 10:47:06 - mmengine - INFO - Epoch(train) [320][35/63] lr: 1.0000e-05 eta: 10:37:12 time: 0.8464 data_time: 0.0310 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0167 loss: 0.0406 2022/08/26 10:47:10 - mmengine - INFO - Epoch(train) [320][40/63] lr: 1.0000e-05 eta: 10:36:39 time: 0.8417 data_time: 0.0280 memory: 25127 loss_text: 0.0199 loss_kernel: 0.0154 loss: 0.0352 2022/08/26 10:47:15 - mmengine - INFO - Epoch(train) [320][45/63] lr: 1.0000e-05 eta: 10:36:39 time: 0.8577 data_time: 0.0354 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0159 loss: 0.0360 2022/08/26 10:47:19 - mmengine - INFO - Epoch(train) [320][50/63] lr: 1.0000e-05 eta: 10:36:06 time: 0.8468 data_time: 0.0346 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0156 loss: 0.0356 2022/08/26 10:47:23 - mmengine - INFO - Epoch(train) [320][55/63] lr: 1.0000e-05 eta: 10:36:06 time: 0.8341 data_time: 0.0288 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0175 loss: 0.0413 2022/08/26 10:47:27 - mmengine - INFO - Epoch(train) [320][60/63] lr: 1.0000e-05 eta: 10:35:33 time: 0.8544 data_time: 0.0297 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0190 loss: 0.0465 2022/08/26 10:47:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:47:30 - mmengine - INFO - Saving checkpoint at 320 epochs 2022/08/26 10:47:59 - mmengine - INFO - Epoch(val) [320][5/500] eta: 10:35:33 time: 2.4167 data_time: 2.3601 memory: 25127 2022/08/26 10:48:00 - mmengine - INFO - Epoch(val) [320][10/500] eta: 0:19:50 time: 2.4297 data_time: 2.3613 memory: 2076 2022/08/26 10:48:00 - mmengine - INFO - Epoch(val) [320][15/500] eta: 0:19:50 time: 0.0588 data_time: 0.0030 memory: 2001 2022/08/26 10:48:00 - mmengine - INFO - Epoch(val) [320][20/500] eta: 0:00:22 time: 0.0479 data_time: 0.0019 memory: 1700 2022/08/26 10:48:00 - mmengine - INFO - Epoch(val) [320][25/500] eta: 0:00:22 time: 0.0406 data_time: 0.0019 memory: 1700 2022/08/26 10:48:01 - mmengine - INFO - Epoch(val) [320][30/500] eta: 0:00:18 time: 0.0388 data_time: 0.0019 memory: 1700 2022/08/26 10:48:01 - mmengine - INFO - Epoch(val) [320][35/500] eta: 0:00:18 time: 0.0418 data_time: 0.0018 memory: 1700 2022/08/26 10:48:01 - mmengine - INFO - Epoch(val) [320][40/500] eta: 0:00:20 time: 0.0439 data_time: 0.0019 memory: 1737 2022/08/26 10:48:01 - mmengine - INFO - Epoch(val) [320][45/500] eta: 0:00:20 time: 0.0409 data_time: 0.0020 memory: 2076 2022/08/26 10:48:01 - mmengine - INFO - Epoch(val) [320][50/500] eta: 0:00:18 time: 0.0418 data_time: 0.0020 memory: 1813 2022/08/26 10:48:02 - mmengine - INFO - Epoch(val) [320][55/500] eta: 0:00:18 time: 0.0424 data_time: 0.0020 memory: 1775 2022/08/26 10:48:02 - mmengine - INFO - Epoch(val) [320][60/500] eta: 0:00:19 time: 0.0454 data_time: 0.0018 memory: 1700 2022/08/26 10:48:02 - mmengine - INFO - Epoch(val) [320][65/500] eta: 0:00:19 time: 0.0527 data_time: 0.0020 memory: 1813 2022/08/26 10:48:02 - mmengine - INFO - Epoch(val) [320][70/500] eta: 0:00:20 time: 0.0479 data_time: 0.0020 memory: 2076 2022/08/26 10:48:03 - mmengine - INFO - Epoch(val) [320][75/500] eta: 0:00:20 time: 0.0444 data_time: 0.0018 memory: 1813 2022/08/26 10:48:03 - mmengine - INFO - Epoch(val) [320][80/500] eta: 0:00:18 time: 0.0436 data_time: 0.0018 memory: 1700 2022/08/26 10:48:03 - mmengine - INFO - Epoch(val) [320][85/500] eta: 0:00:18 time: 0.0390 data_time: 0.0018 memory: 1700 2022/08/26 10:48:03 - mmengine - INFO - Epoch(val) [320][90/500] eta: 0:00:18 time: 0.0443 data_time: 0.0018 memory: 2076 2022/08/26 10:48:03 - mmengine - INFO - Epoch(val) [320][95/500] eta: 0:00:18 time: 0.0447 data_time: 0.0017 memory: 1737 2022/08/26 10:48:04 - mmengine - INFO - Epoch(val) [320][100/500] eta: 0:00:16 time: 0.0407 data_time: 0.0017 memory: 2076 2022/08/26 10:48:04 - mmengine - INFO - Epoch(val) [320][105/500] eta: 0:00:16 time: 0.0402 data_time: 0.0018 memory: 1700 2022/08/26 10:48:04 - mmengine - INFO - Epoch(val) [320][110/500] eta: 0:00:16 time: 0.0432 data_time: 0.0018 memory: 2076 2022/08/26 10:48:04 - mmengine - INFO - Epoch(val) [320][115/500] eta: 0:00:16 time: 0.0434 data_time: 0.0018 memory: 1700 2022/08/26 10:48:05 - mmengine - INFO - Epoch(val) [320][120/500] eta: 0:00:19 time: 0.0505 data_time: 0.0018 memory: 1700 2022/08/26 10:48:05 - mmengine - INFO - Epoch(val) [320][125/500] eta: 0:00:19 time: 0.0631 data_time: 0.0019 memory: 2076 2022/08/26 10:48:05 - mmengine - INFO - Epoch(val) [320][130/500] eta: 0:00:18 time: 0.0507 data_time: 0.0020 memory: 1700 2022/08/26 10:48:05 - mmengine - INFO - Epoch(val) [320][135/500] eta: 0:00:18 time: 0.0399 data_time: 0.0018 memory: 1850 2022/08/26 10:48:06 - mmengine - INFO - Epoch(val) [320][140/500] eta: 0:00:15 time: 0.0435 data_time: 0.0017 memory: 1700 2022/08/26 10:48:06 - mmengine - INFO - Epoch(val) [320][145/500] eta: 0:00:15 time: 0.0407 data_time: 0.0016 memory: 2039 2022/08/26 10:48:06 - mmengine - INFO - Epoch(val) [320][150/500] eta: 0:00:14 time: 0.0402 data_time: 0.0016 memory: 1700 2022/08/26 10:48:06 - mmengine - INFO - Epoch(val) [320][155/500] eta: 0:00:14 time: 0.0430 data_time: 0.0017 memory: 1963 2022/08/26 10:48:06 - mmengine - INFO - Epoch(val) [320][160/500] eta: 0:00:15 time: 0.0442 data_time: 0.0018 memory: 2076 2022/08/26 10:48:07 - mmengine - INFO - Epoch(val) [320][165/500] eta: 0:00:15 time: 0.0453 data_time: 0.0019 memory: 1775 2022/08/26 10:48:07 - mmengine - INFO - Epoch(val) [320][170/500] eta: 0:00:16 time: 0.0498 data_time: 0.0020 memory: 1963 2022/08/26 10:48:07 - mmengine - INFO - Epoch(val) [320][175/500] eta: 0:00:16 time: 0.0490 data_time: 0.0018 memory: 2076 2022/08/26 10:48:07 - mmengine - INFO - Epoch(val) [320][180/500] eta: 0:00:13 time: 0.0421 data_time: 0.0017 memory: 2076 2022/08/26 10:48:08 - mmengine - INFO - Epoch(val) [320][185/500] eta: 0:00:13 time: 0.0515 data_time: 0.0017 memory: 1700 2022/08/26 10:48:08 - mmengine - INFO - Epoch(val) [320][190/500] eta: 0:00:16 time: 0.0532 data_time: 0.0021 memory: 1813 2022/08/26 10:48:08 - mmengine - INFO - Epoch(val) [320][195/500] eta: 0:00:16 time: 0.0409 data_time: 0.0026 memory: 1775 2022/08/26 10:48:08 - mmengine - INFO - Epoch(val) [320][200/500] eta: 0:00:11 time: 0.0383 data_time: 0.0022 memory: 1775 2022/08/26 10:48:08 - mmengine - INFO - Epoch(val) [320][205/500] eta: 0:00:11 time: 0.0404 data_time: 0.0017 memory: 1700 2022/08/26 10:48:09 - mmengine - INFO - Epoch(val) [320][210/500] eta: 0:00:13 time: 0.0450 data_time: 0.0018 memory: 2076 2022/08/26 10:48:09 - mmengine - INFO - Epoch(val) [320][215/500] eta: 0:00:13 time: 0.0429 data_time: 0.0018 memory: 1700 2022/08/26 10:48:09 - mmengine - INFO - Epoch(val) [320][220/500] eta: 0:00:10 time: 0.0385 data_time: 0.0018 memory: 1850 2022/08/26 10:48:09 - mmengine - INFO - Epoch(val) [320][225/500] eta: 0:00:10 time: 0.0497 data_time: 0.0020 memory: 2076 2022/08/26 10:48:10 - mmengine - INFO - Epoch(val) [320][230/500] eta: 0:00:35 time: 0.1331 data_time: 0.0404 memory: 1700 2022/08/26 10:48:11 - mmengine - INFO - Epoch(val) [320][235/500] eta: 0:00:35 time: 0.1277 data_time: 0.0415 memory: 2076 2022/08/26 10:48:11 - mmengine - INFO - Epoch(val) [320][240/500] eta: 0:00:12 time: 0.0499 data_time: 0.0031 memory: 2076 2022/08/26 10:48:11 - mmengine - INFO - Epoch(val) [320][245/500] eta: 0:00:12 time: 0.0456 data_time: 0.0019 memory: 2076 2022/08/26 10:48:11 - mmengine - INFO - Epoch(val) [320][250/500] eta: 0:00:10 time: 0.0406 data_time: 0.0018 memory: 1700 2022/08/26 10:48:12 - mmengine - INFO - Epoch(val) [320][255/500] eta: 0:00:10 time: 0.0636 data_time: 0.0018 memory: 1737 2022/08/26 10:48:12 - mmengine - INFO - Epoch(val) [320][260/500] eta: 0:00:14 time: 0.0623 data_time: 0.0019 memory: 1700 2022/08/26 10:48:12 - mmengine - INFO - Epoch(val) [320][265/500] eta: 0:00:14 time: 0.0450 data_time: 0.0020 memory: 2001 2022/08/26 10:48:12 - mmengine - INFO - Epoch(val) [320][270/500] eta: 0:00:10 time: 0.0469 data_time: 0.0019 memory: 1926 2022/08/26 10:48:13 - mmengine - INFO - Epoch(val) [320][275/500] eta: 0:00:10 time: 0.0452 data_time: 0.0019 memory: 2076 2022/08/26 10:48:13 - mmengine - INFO - Epoch(val) [320][280/500] eta: 0:00:09 time: 0.0430 data_time: 0.0020 memory: 2001 2022/08/26 10:48:13 - mmengine - INFO - Epoch(val) [320][285/500] eta: 0:00:09 time: 0.0418 data_time: 0.0019 memory: 1700 2022/08/26 10:48:13 - mmengine - INFO - Epoch(val) [320][290/500] eta: 0:00:10 time: 0.0486 data_time: 0.0020 memory: 2076 2022/08/26 10:48:14 - mmengine - INFO - Epoch(val) [320][295/500] eta: 0:00:10 time: 0.0453 data_time: 0.0019 memory: 1813 2022/08/26 10:48:14 - mmengine - INFO - Epoch(val) [320][300/500] eta: 0:00:08 time: 0.0408 data_time: 0.0019 memory: 1737 2022/08/26 10:48:14 - mmengine - INFO - Epoch(val) [320][305/500] eta: 0:00:08 time: 0.0364 data_time: 0.0019 memory: 1700 2022/08/26 10:48:14 - mmengine - INFO - Epoch(val) [320][310/500] eta: 0:00:06 time: 0.0361 data_time: 0.0017 memory: 1775 2022/08/26 10:48:14 - mmengine - INFO - Epoch(val) [320][315/500] eta: 0:00:06 time: 0.0423 data_time: 0.0017 memory: 2001 2022/08/26 10:48:15 - mmengine - INFO - Epoch(val) [320][320/500] eta: 0:00:08 time: 0.0470 data_time: 0.0017 memory: 2001 2022/08/26 10:48:15 - mmengine - INFO - Epoch(val) [320][325/500] eta: 0:00:08 time: 0.0470 data_time: 0.0017 memory: 2076 2022/08/26 10:48:15 - mmengine - INFO - Epoch(val) [320][330/500] eta: 0:00:07 time: 0.0431 data_time: 0.0019 memory: 1737 2022/08/26 10:48:15 - mmengine - INFO - Epoch(val) [320][335/500] eta: 0:00:07 time: 0.0473 data_time: 0.0020 memory: 1926 2022/08/26 10:48:15 - mmengine - INFO - Epoch(val) [320][340/500] eta: 0:00:07 time: 0.0484 data_time: 0.0019 memory: 2039 2022/08/26 10:48:16 - mmengine - INFO - Epoch(val) [320][345/500] eta: 0:00:07 time: 0.0402 data_time: 0.0018 memory: 1926 2022/08/26 10:48:16 - mmengine - INFO - Epoch(val) [320][350/500] eta: 0:00:06 time: 0.0460 data_time: 0.0018 memory: 1700 2022/08/26 10:48:16 - mmengine - INFO - Epoch(val) [320][355/500] eta: 0:00:06 time: 0.0639 data_time: 0.0019 memory: 2039 2022/08/26 10:48:16 - mmengine - INFO - Epoch(val) [320][360/500] eta: 0:00:07 time: 0.0540 data_time: 0.0019 memory: 1737 2022/08/26 10:48:17 - mmengine - INFO - Epoch(val) [320][365/500] eta: 0:00:07 time: 0.0372 data_time: 0.0018 memory: 1588 2022/08/26 10:48:17 - mmengine - INFO - Epoch(val) [320][370/500] eta: 0:00:04 time: 0.0373 data_time: 0.0018 memory: 1813 2022/08/26 10:48:17 - mmengine - INFO - Epoch(val) [320][375/500] eta: 0:00:04 time: 0.0342 data_time: 0.0017 memory: 1700 2022/08/26 10:48:17 - mmengine - INFO - Epoch(val) [320][380/500] eta: 0:00:04 time: 0.0375 data_time: 0.0017 memory: 2039 2022/08/26 10:48:17 - mmengine - INFO - Epoch(val) [320][385/500] eta: 0:00:04 time: 0.0407 data_time: 0.0017 memory: 2039 2022/08/26 10:48:18 - mmengine - INFO - Epoch(val) [320][390/500] eta: 0:00:05 time: 0.0462 data_time: 0.0018 memory: 2076 2022/08/26 10:48:18 - mmengine - INFO - Epoch(val) [320][395/500] eta: 0:00:05 time: 0.0636 data_time: 0.0023 memory: 1700 2022/08/26 10:48:18 - mmengine - INFO - Epoch(val) [320][400/500] eta: 0:00:06 time: 0.0652 data_time: 0.0023 memory: 2039 2022/08/26 10:48:19 - mmengine - INFO - Epoch(val) [320][405/500] eta: 0:00:06 time: 0.0496 data_time: 0.0018 memory: 2039 2022/08/26 10:48:19 - mmengine - INFO - Epoch(val) [320][410/500] eta: 0:00:04 time: 0.0445 data_time: 0.0019 memory: 1813 2022/08/26 10:48:19 - mmengine - INFO - Epoch(val) [320][415/500] eta: 0:00:04 time: 0.0493 data_time: 0.0019 memory: 1700 2022/08/26 10:48:19 - mmengine - INFO - Epoch(val) [320][420/500] eta: 0:00:04 time: 0.0569 data_time: 0.0018 memory: 2001 2022/08/26 10:48:20 - mmengine - INFO - Epoch(val) [320][425/500] eta: 0:00:04 time: 0.0631 data_time: 0.0020 memory: 1700 2022/08/26 10:48:20 - mmengine - INFO - Epoch(val) [320][430/500] eta: 0:00:03 time: 0.0541 data_time: 0.0021 memory: 2076 2022/08/26 10:48:20 - mmengine - INFO - Epoch(val) [320][435/500] eta: 0:00:03 time: 0.0433 data_time: 0.0021 memory: 1700 2022/08/26 10:48:20 - mmengine - INFO - Epoch(val) [320][440/500] eta: 0:00:02 time: 0.0433 data_time: 0.0029 memory: 1850 2022/08/26 10:48:21 - mmengine - INFO - Epoch(val) [320][445/500] eta: 0:00:02 time: 0.0469 data_time: 0.0029 memory: 2001 2022/08/26 10:48:21 - mmengine - INFO - Epoch(val) [320][450/500] eta: 0:00:02 time: 0.0473 data_time: 0.0022 memory: 1700 2022/08/26 10:48:21 - mmengine - INFO - Epoch(val) [320][455/500] eta: 0:00:02 time: 0.0481 data_time: 0.0025 memory: 2076 2022/08/26 10:48:21 - mmengine - INFO - Epoch(val) [320][460/500] eta: 0:00:01 time: 0.0447 data_time: 0.0021 memory: 1775 2022/08/26 10:48:21 - mmengine - INFO - Epoch(val) [320][465/500] eta: 0:00:01 time: 0.0380 data_time: 0.0018 memory: 1963 2022/08/26 10:48:22 - mmengine - INFO - Epoch(val) [320][470/500] eta: 0:00:01 time: 0.0381 data_time: 0.0018 memory: 1775 2022/08/26 10:48:22 - mmengine - INFO - Epoch(val) [320][475/500] eta: 0:00:01 time: 0.0435 data_time: 0.0019 memory: 2076 2022/08/26 10:48:22 - mmengine - INFO - Epoch(val) [320][480/500] eta: 0:00:00 time: 0.0471 data_time: 0.0019 memory: 2039 2022/08/26 10:48:22 - mmengine - INFO - Epoch(val) [320][485/500] eta: 0:00:00 time: 0.0444 data_time: 0.0035 memory: 1700 2022/08/26 10:48:23 - mmengine - INFO - Epoch(val) [320][490/500] eta: 0:00:00 time: 0.0504 data_time: 0.0035 memory: 1963 2022/08/26 10:48:23 - mmengine - INFO - Epoch(val) [320][495/500] eta: 0:00:00 time: 0.0555 data_time: 0.0019 memory: 2076 2022/08/26 10:48:23 - mmengine - INFO - Epoch(val) [320][500/500] eta: 0:00:00 time: 0.0538 data_time: 0.0061 memory: 1737 2022/08/26 10:48:23 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 10:48:23 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7961, precision: 0.5095, hmean: 0.6213 2022/08/26 10:48:23 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7961, precision: 0.5095, hmean: 0.6213 2022/08/26 10:48:23 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7961, precision: 0.5095, hmean: 0.6213 2022/08/26 10:48:23 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7961, precision: 0.5267, hmean: 0.6340 2022/08/26 10:48:23 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7958, precision: 0.5958, hmean: 0.6814 2022/08/26 10:48:23 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7941, precision: 0.6781, hmean: 0.7316 2022/08/26 10:48:23 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7743, precision: 0.7746, hmean: 0.7744 2022/08/26 10:48:23 - mmengine - INFO - Epoch(val) [320][500/500] icdar/precision: 0.7746 icdar/recall: 0.7743 icdar/hmean: 0.7744 2022/08/26 10:49:52 - mmengine - INFO - Epoch(train) [321][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 9.2259 data_time: 8.3892 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0171 loss: 0.0418 2022/08/26 10:49:56 - mmengine - INFO - Epoch(train) [321][10/63] lr: 1.0000e-05 eta: 10:36:01 time: 9.2820 data_time: 8.4178 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0153 loss: 0.0358 2022/08/26 10:50:00 - mmengine - INFO - Epoch(train) [321][15/63] lr: 1.0000e-05 eta: 10:36:01 time: 0.8874 data_time: 0.0431 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0194 loss: 0.0485 2022/08/26 10:50:05 - mmengine - INFO - Epoch(train) [321][20/63] lr: 1.0000e-05 eta: 10:35:28 time: 0.8731 data_time: 0.0173 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0200 loss: 0.0505 2022/08/26 10:50:09 - mmengine - INFO - Epoch(train) [321][25/63] lr: 1.0000e-05 eta: 10:35:28 time: 0.8854 data_time: 0.0348 memory: 25127 loss_text: 0.0306 loss_kernel: 0.0194 loss: 0.0500 2022/08/26 10:50:14 - mmengine - INFO - Epoch(train) [321][30/63] lr: 1.0000e-05 eta: 10:34:56 time: 0.8962 data_time: 0.0275 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0186 loss: 0.0479 2022/08/26 10:50:18 - mmengine - INFO - Epoch(train) [321][35/63] lr: 1.0000e-05 eta: 10:34:56 time: 0.8938 data_time: 0.0223 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0156 loss: 0.0361 2022/08/26 10:50:23 - mmengine - INFO - Epoch(train) [321][40/63] lr: 1.0000e-05 eta: 10:34:23 time: 0.8663 data_time: 0.0313 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0183 loss: 0.0440 2022/08/26 10:50:27 - mmengine - INFO - Epoch(train) [321][45/63] lr: 1.0000e-05 eta: 10:34:23 time: 0.8511 data_time: 0.0292 memory: 25127 loss_text: 0.0289 loss_kernel: 0.0191 loss: 0.0480 2022/08/26 10:50:31 - mmengine - INFO - Epoch(train) [321][50/63] lr: 1.0000e-05 eta: 10:33:50 time: 0.8452 data_time: 0.0308 memory: 25127 loss_text: 0.0275 loss_kernel: 0.0178 loss: 0.0454 2022/08/26 10:50:35 - mmengine - INFO - Epoch(train) [321][55/63] lr: 1.0000e-05 eta: 10:33:50 time: 0.8325 data_time: 0.0260 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0200 loss: 0.0524 2022/08/26 10:50:39 - mmengine - INFO - Epoch(train) [321][60/63] lr: 1.0000e-05 eta: 10:33:16 time: 0.8360 data_time: 0.0207 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0192 loss: 0.0482 2022/08/26 10:50:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:52:09 - mmengine - INFO - Epoch(train) [322][5/63] lr: 1.0000e-05 eta: 10:33:16 time: 9.1622 data_time: 8.3522 memory: 25127 loss_text: 0.0305 loss_kernel: 0.0191 loss: 0.0495 2022/08/26 10:52:14 - mmengine - INFO - Epoch(train) [322][10/63] lr: 1.0000e-05 eta: 10:33:44 time: 9.2188 data_time: 8.3806 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0204 loss: 0.0545 2022/08/26 10:52:18 - mmengine - INFO - Epoch(train) [322][15/63] lr: 1.0000e-05 eta: 10:33:44 time: 0.8818 data_time: 0.0421 memory: 25127 loss_text: 0.0312 loss_kernel: 0.0193 loss: 0.0505 2022/08/26 10:52:23 - mmengine - INFO - Epoch(train) [322][20/63] lr: 1.0000e-05 eta: 10:33:11 time: 0.8823 data_time: 0.0185 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0202 loss: 0.0512 2022/08/26 10:52:27 - mmengine - INFO - Epoch(train) [322][25/63] lr: 1.0000e-05 eta: 10:33:11 time: 0.9118 data_time: 0.0291 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0179 loss: 0.0415 2022/08/26 10:52:32 - mmengine - INFO - Epoch(train) [322][30/63] lr: 1.0000e-05 eta: 10:32:39 time: 0.9019 data_time: 0.0241 memory: 25127 loss_text: 0.0193 loss_kernel: 0.0152 loss: 0.0345 2022/08/26 10:52:36 - mmengine - INFO - Epoch(train) [322][35/63] lr: 1.0000e-05 eta: 10:32:39 time: 0.9119 data_time: 0.0230 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0169 loss: 0.0414 2022/08/26 10:52:41 - mmengine - INFO - Epoch(train) [322][40/63] lr: 1.0000e-05 eta: 10:32:06 time: 0.9152 data_time: 0.0325 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0199 loss: 0.0497 2022/08/26 10:52:45 - mmengine - INFO - Epoch(train) [322][45/63] lr: 1.0000e-05 eta: 10:32:06 time: 0.8901 data_time: 0.0290 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0191 loss: 0.0475 2022/08/26 10:52:50 - mmengine - INFO - Epoch(train) [322][50/63] lr: 1.0000e-05 eta: 10:31:34 time: 0.8985 data_time: 0.0295 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0187 loss: 0.0467 2022/08/26 10:52:54 - mmengine - INFO - Epoch(train) [322][55/63] lr: 1.0000e-05 eta: 10:31:34 time: 0.9083 data_time: 0.0320 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0172 loss: 0.0410 2022/08/26 10:52:59 - mmengine - INFO - Epoch(train) [322][60/63] lr: 1.0000e-05 eta: 10:31:01 time: 0.8861 data_time: 0.0256 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0192 loss: 0.0489 2022/08/26 10:53:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:54:28 - mmengine - INFO - Epoch(train) [323][5/63] lr: 1.0000e-05 eta: 10:31:01 time: 9.0674 data_time: 8.2465 memory: 25127 loss_text: 0.0424 loss_kernel: 0.0249 loss: 0.0673 2022/08/26 10:54:32 - mmengine - INFO - Epoch(train) [323][10/63] lr: 1.0000e-05 eta: 10:31:27 time: 9.0979 data_time: 8.2626 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0186 loss: 0.0463 2022/08/26 10:54:36 - mmengine - INFO - Epoch(train) [323][15/63] lr: 1.0000e-05 eta: 10:31:27 time: 0.8522 data_time: 0.0335 memory: 25127 loss_text: 0.0192 loss_kernel: 0.0148 loss: 0.0339 2022/08/26 10:54:42 - mmengine - INFO - Epoch(train) [323][20/63] lr: 1.0000e-05 eta: 10:30:55 time: 0.9417 data_time: 0.0277 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0184 loss: 0.0427 2022/08/26 10:54:46 - mmengine - INFO - Epoch(train) [323][25/63] lr: 1.0000e-05 eta: 10:30:55 time: 0.9634 data_time: 0.0326 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0210 loss: 0.0496 2022/08/26 10:54:50 - mmengine - INFO - Epoch(train) [323][30/63] lr: 1.0000e-05 eta: 10:30:22 time: 0.8918 data_time: 0.0296 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0176 loss: 0.0421 2022/08/26 10:54:55 - mmengine - INFO - Epoch(train) [323][35/63] lr: 1.0000e-05 eta: 10:30:22 time: 0.8946 data_time: 0.0340 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0170 loss: 0.0411 2022/08/26 10:54:59 - mmengine - INFO - Epoch(train) [323][40/63] lr: 1.0000e-05 eta: 10:29:50 time: 0.8750 data_time: 0.0262 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0166 loss: 0.0401 2022/08/26 10:55:03 - mmengine - INFO - Epoch(train) [323][45/63] lr: 1.0000e-05 eta: 10:29:50 time: 0.8532 data_time: 0.0235 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0167 loss: 0.0414 2022/08/26 10:55:08 - mmengine - INFO - Epoch(train) [323][50/63] lr: 1.0000e-05 eta: 10:29:17 time: 0.8548 data_time: 0.0269 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0185 loss: 0.0472 2022/08/26 10:55:12 - mmengine - INFO - Epoch(train) [323][55/63] lr: 1.0000e-05 eta: 10:29:17 time: 0.8652 data_time: 0.0243 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0181 loss: 0.0433 2022/08/26 10:55:17 - mmengine - INFO - Epoch(train) [323][60/63] lr: 1.0000e-05 eta: 10:28:44 time: 0.8955 data_time: 0.0264 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0196 loss: 0.0455 2022/08/26 10:55:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:56:47 - mmengine - INFO - Epoch(train) [324][5/63] lr: 1.0000e-05 eta: 10:28:44 time: 9.1445 data_time: 8.3349 memory: 25127 loss_text: 0.0192 loss_kernel: 0.0151 loss: 0.0342 2022/08/26 10:56:51 - mmengine - INFO - Epoch(train) [324][10/63] lr: 1.0000e-05 eta: 10:29:11 time: 9.2074 data_time: 8.3590 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0153 loss: 0.0348 2022/08/26 10:56:55 - mmengine - INFO - Epoch(train) [324][15/63] lr: 1.0000e-05 eta: 10:29:11 time: 0.8519 data_time: 0.0428 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0182 loss: 0.0419 2022/08/26 10:56:59 - mmengine - INFO - Epoch(train) [324][20/63] lr: 1.0000e-05 eta: 10:28:38 time: 0.8421 data_time: 0.0342 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0186 loss: 0.0433 2022/08/26 10:57:04 - mmengine - INFO - Epoch(train) [324][25/63] lr: 1.0000e-05 eta: 10:28:38 time: 0.8751 data_time: 0.0419 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0159 loss: 0.0368 2022/08/26 10:57:08 - mmengine - INFO - Epoch(train) [324][30/63] lr: 1.0000e-05 eta: 10:28:05 time: 0.8663 data_time: 0.0288 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0168 loss: 0.0376 2022/08/26 10:57:12 - mmengine - INFO - Epoch(train) [324][35/63] lr: 1.0000e-05 eta: 10:28:05 time: 0.8585 data_time: 0.0264 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0167 loss: 0.0374 2022/08/26 10:57:16 - mmengine - INFO - Epoch(train) [324][40/63] lr: 1.0000e-05 eta: 10:27:32 time: 0.8430 data_time: 0.0314 memory: 25127 loss_text: 0.0329 loss_kernel: 0.0214 loss: 0.0543 2022/08/26 10:57:21 - mmengine - INFO - Epoch(train) [324][45/63] lr: 1.0000e-05 eta: 10:27:32 time: 0.8389 data_time: 0.0352 memory: 25127 loss_text: 0.0375 loss_kernel: 0.0226 loss: 0.0600 2022/08/26 10:57:25 - mmengine - INFO - Epoch(train) [324][50/63] lr: 1.0000e-05 eta: 10:27:00 time: 0.8744 data_time: 0.0332 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0174 loss: 0.0431 2022/08/26 10:57:29 - mmengine - INFO - Epoch(train) [324][55/63] lr: 1.0000e-05 eta: 10:27:00 time: 0.8661 data_time: 0.0303 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0153 loss: 0.0364 2022/08/26 10:57:34 - mmengine - INFO - Epoch(train) [324][60/63] lr: 1.0000e-05 eta: 10:26:27 time: 0.8390 data_time: 0.0299 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0147 loss: 0.0347 2022/08/26 10:57:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 10:59:03 - mmengine - INFO - Epoch(train) [325][5/63] lr: 1.0000e-05 eta: 10:26:27 time: 9.0591 data_time: 8.2652 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0186 loss: 0.0479 2022/08/26 10:59:07 - mmengine - INFO - Epoch(train) [325][10/63] lr: 1.0000e-05 eta: 10:26:53 time: 9.1369 data_time: 8.2789 memory: 25127 loss_text: 0.0378 loss_kernel: 0.0228 loss: 0.0606 2022/08/26 10:59:12 - mmengine - INFO - Epoch(train) [325][15/63] lr: 1.0000e-05 eta: 10:26:53 time: 0.9327 data_time: 0.0381 memory: 25127 loss_text: 0.0338 loss_kernel: 0.0215 loss: 0.0552 2022/08/26 10:59:16 - mmengine - INFO - Epoch(train) [325][20/63] lr: 1.0000e-05 eta: 10:26:20 time: 0.9138 data_time: 0.0366 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0193 loss: 0.0483 2022/08/26 10:59:21 - mmengine - INFO - Epoch(train) [325][25/63] lr: 1.0000e-05 eta: 10:26:20 time: 0.8679 data_time: 0.0349 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0172 loss: 0.0427 2022/08/26 10:59:25 - mmengine - INFO - Epoch(train) [325][30/63] lr: 1.0000e-05 eta: 10:25:48 time: 0.8814 data_time: 0.0306 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0147 loss: 0.0353 2022/08/26 10:59:29 - mmengine - INFO - Epoch(train) [325][35/63] lr: 1.0000e-05 eta: 10:25:48 time: 0.8829 data_time: 0.0321 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0145 loss: 0.0342 2022/08/26 10:59:34 - mmengine - INFO - Epoch(train) [325][40/63] lr: 1.0000e-05 eta: 10:25:15 time: 0.8757 data_time: 0.0254 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0162 loss: 0.0401 2022/08/26 10:59:38 - mmengine - INFO - Epoch(train) [325][45/63] lr: 1.0000e-05 eta: 10:25:15 time: 0.8759 data_time: 0.0249 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0163 loss: 0.0398 2022/08/26 10:59:43 - mmengine - INFO - Epoch(train) [325][50/63] lr: 1.0000e-05 eta: 10:24:43 time: 0.8713 data_time: 0.0310 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0151 loss: 0.0352 2022/08/26 10:59:47 - mmengine - INFO - Epoch(train) [325][55/63] lr: 1.0000e-05 eta: 10:24:43 time: 0.8609 data_time: 0.0278 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0171 loss: 0.0409 2022/08/26 10:59:51 - mmengine - INFO - Epoch(train) [325][60/63] lr: 1.0000e-05 eta: 10:24:10 time: 0.8524 data_time: 0.0246 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0183 loss: 0.0458 2022/08/26 10:59:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:01:21 - mmengine - INFO - Epoch(train) [326][5/63] lr: 1.0000e-05 eta: 10:24:10 time: 9.1598 data_time: 8.3303 memory: 25127 loss_text: 0.0204 loss_kernel: 0.0167 loss: 0.0370 2022/08/26 11:01:26 - mmengine - INFO - Epoch(train) [326][10/63] lr: 1.0000e-05 eta: 10:24:36 time: 9.2163 data_time: 8.3520 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0173 loss: 0.0388 2022/08/26 11:01:30 - mmengine - INFO - Epoch(train) [326][15/63] lr: 1.0000e-05 eta: 10:24:36 time: 0.8911 data_time: 0.0422 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0154 loss: 0.0363 2022/08/26 11:01:34 - mmengine - INFO - Epoch(train) [326][20/63] lr: 1.0000e-05 eta: 10:24:04 time: 0.8757 data_time: 0.0244 memory: 25127 loss_text: 0.0194 loss_kernel: 0.0146 loss: 0.0339 2022/08/26 11:01:39 - mmengine - INFO - Epoch(train) [326][25/63] lr: 1.0000e-05 eta: 10:24:04 time: 0.8748 data_time: 0.0256 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0181 loss: 0.0437 2022/08/26 11:01:43 - mmengine - INFO - Epoch(train) [326][30/63] lr: 1.0000e-05 eta: 10:23:31 time: 0.8934 data_time: 0.0327 memory: 25127 loss_text: 0.0273 loss_kernel: 0.0191 loss: 0.0463 2022/08/26 11:01:48 - mmengine - INFO - Epoch(train) [326][35/63] lr: 1.0000e-05 eta: 10:23:31 time: 0.8910 data_time: 0.0364 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0181 loss: 0.0439 2022/08/26 11:01:52 - mmengine - INFO - Epoch(train) [326][40/63] lr: 1.0000e-05 eta: 10:22:59 time: 0.8792 data_time: 0.0290 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0181 loss: 0.0422 2022/08/26 11:01:57 - mmengine - INFO - Epoch(train) [326][45/63] lr: 1.0000e-05 eta: 10:22:59 time: 0.8909 data_time: 0.0291 memory: 25127 loss_text: 0.0192 loss_kernel: 0.0158 loss: 0.0350 2022/08/26 11:02:01 - mmengine - INFO - Epoch(train) [326][50/63] lr: 1.0000e-05 eta: 10:22:26 time: 0.8868 data_time: 0.0356 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0164 loss: 0.0393 2022/08/26 11:02:05 - mmengine - INFO - Epoch(train) [326][55/63] lr: 1.0000e-05 eta: 10:22:26 time: 0.8694 data_time: 0.0304 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0166 loss: 0.0409 2022/08/26 11:02:10 - mmengine - INFO - Epoch(train) [326][60/63] lr: 1.0000e-05 eta: 10:21:54 time: 0.8583 data_time: 0.0221 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0172 loss: 0.0427 2022/08/26 11:02:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:03:39 - mmengine - INFO - Epoch(train) [327][5/63] lr: 1.0000e-05 eta: 10:21:54 time: 9.1273 data_time: 8.3297 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0171 loss: 0.0418 2022/08/26 11:03:43 - mmengine - INFO - Epoch(train) [327][10/63] lr: 1.0000e-05 eta: 10:22:19 time: 9.1548 data_time: 8.3315 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0172 loss: 0.0410 2022/08/26 11:03:48 - mmengine - INFO - Epoch(train) [327][15/63] lr: 1.0000e-05 eta: 10:22:19 time: 0.8323 data_time: 0.0288 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0156 loss: 0.0352 2022/08/26 11:03:52 - mmengine - INFO - Epoch(train) [327][20/63] lr: 1.0000e-05 eta: 10:21:47 time: 0.8903 data_time: 0.0356 memory: 25127 loss_text: 0.0314 loss_kernel: 0.0196 loss: 0.0509 2022/08/26 11:03:57 - mmengine - INFO - Epoch(train) [327][25/63] lr: 1.0000e-05 eta: 10:21:47 time: 0.9003 data_time: 0.0281 memory: 25127 loss_text: 0.0361 loss_kernel: 0.0211 loss: 0.0572 2022/08/26 11:04:01 - mmengine - INFO - Epoch(train) [327][30/63] lr: 1.0000e-05 eta: 10:21:14 time: 0.8540 data_time: 0.0302 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0193 loss: 0.0493 2022/08/26 11:04:06 - mmengine - INFO - Epoch(train) [327][35/63] lr: 1.0000e-05 eta: 10:21:14 time: 0.9019 data_time: 0.0653 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0178 loss: 0.0436 2022/08/26 11:04:10 - mmengine - INFO - Epoch(train) [327][40/63] lr: 1.0000e-05 eta: 10:20:42 time: 0.8809 data_time: 0.0536 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0201 loss: 0.0454 2022/08/26 11:04:14 - mmengine - INFO - Epoch(train) [327][45/63] lr: 1.0000e-05 eta: 10:20:42 time: 0.8252 data_time: 0.0282 memory: 25127 loss_text: 0.0300 loss_kernel: 0.0224 loss: 0.0524 2022/08/26 11:04:18 - mmengine - INFO - Epoch(train) [327][50/63] lr: 1.0000e-05 eta: 10:20:09 time: 0.8490 data_time: 0.0295 memory: 25127 loss_text: 0.0295 loss_kernel: 0.0195 loss: 0.0490 2022/08/26 11:04:23 - mmengine - INFO - Epoch(train) [327][55/63] lr: 1.0000e-05 eta: 10:20:09 time: 0.8866 data_time: 0.0284 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0175 loss: 0.0429 2022/08/26 11:04:27 - mmengine - INFO - Epoch(train) [327][60/63] lr: 1.0000e-05 eta: 10:19:37 time: 0.8816 data_time: 0.0311 memory: 25127 loss_text: 0.0204 loss_kernel: 0.0152 loss: 0.0356 2022/08/26 11:04:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:05:59 - mmengine - INFO - Epoch(train) [328][5/63] lr: 1.0000e-05 eta: 10:19:37 time: 9.3922 data_time: 8.5816 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0161 loss: 0.0392 2022/08/26 11:06:04 - mmengine - INFO - Epoch(train) [328][10/63] lr: 1.0000e-05 eta: 10:20:04 time: 9.4522 data_time: 8.6045 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0165 loss: 0.0392 2022/08/26 11:06:08 - mmengine - INFO - Epoch(train) [328][15/63] lr: 1.0000e-05 eta: 10:20:04 time: 0.8819 data_time: 0.0396 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0169 loss: 0.0404 2022/08/26 11:06:13 - mmengine - INFO - Epoch(train) [328][20/63] lr: 1.0000e-05 eta: 10:19:32 time: 0.8693 data_time: 0.0226 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0187 loss: 0.0472 2022/08/26 11:06:17 - mmengine - INFO - Epoch(train) [328][25/63] lr: 1.0000e-05 eta: 10:19:32 time: 0.8808 data_time: 0.0280 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0198 loss: 0.0491 2022/08/26 11:06:21 - mmengine - INFO - Epoch(train) [328][30/63] lr: 1.0000e-05 eta: 10:18:59 time: 0.8935 data_time: 0.0265 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0209 loss: 0.0496 2022/08/26 11:06:26 - mmengine - INFO - Epoch(train) [328][35/63] lr: 1.0000e-05 eta: 10:18:59 time: 0.9240 data_time: 0.0741 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0177 loss: 0.0415 2022/08/26 11:06:30 - mmengine - INFO - Epoch(train) [328][40/63] lr: 1.0000e-05 eta: 10:18:27 time: 0.9005 data_time: 0.0649 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0144 loss: 0.0339 2022/08/26 11:06:35 - mmengine - INFO - Epoch(train) [328][45/63] lr: 1.0000e-05 eta: 10:18:27 time: 0.8677 data_time: 0.0221 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0168 loss: 0.0412 2022/08/26 11:06:40 - mmengine - INFO - Epoch(train) [328][50/63] lr: 1.0000e-05 eta: 10:17:55 time: 0.9052 data_time: 0.0309 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0180 loss: 0.0438 2022/08/26 11:06:44 - mmengine - INFO - Epoch(train) [328][55/63] lr: 1.0000e-05 eta: 10:17:55 time: 0.8905 data_time: 0.0249 memory: 25127 loss_text: 0.0213 loss_kernel: 0.0160 loss: 0.0373 2022/08/26 11:06:48 - mmengine - INFO - Epoch(train) [328][60/63] lr: 1.0000e-05 eta: 10:17:23 time: 0.8463 data_time: 0.0193 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0170 loss: 0.0415 2022/08/26 11:06:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:08:19 - mmengine - INFO - Epoch(train) [329][5/63] lr: 1.0000e-05 eta: 10:17:23 time: 9.2931 data_time: 8.4822 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0173 loss: 0.0458 2022/08/26 11:08:24 - mmengine - INFO - Epoch(train) [329][10/63] lr: 1.0000e-05 eta: 10:17:49 time: 9.3557 data_time: 8.4931 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0223 loss: 0.0595 2022/08/26 11:08:28 - mmengine - INFO - Epoch(train) [329][15/63] lr: 1.0000e-05 eta: 10:17:49 time: 0.8682 data_time: 0.0253 memory: 25127 loss_text: 0.0453 loss_kernel: 0.0263 loss: 0.0715 2022/08/26 11:08:33 - mmengine - INFO - Epoch(train) [329][20/63] lr: 1.0000e-05 eta: 10:17:17 time: 0.8721 data_time: 0.0239 memory: 25127 loss_text: 0.0298 loss_kernel: 0.0201 loss: 0.0500 2022/08/26 11:08:37 - mmengine - INFO - Epoch(train) [329][25/63] lr: 1.0000e-05 eta: 10:17:17 time: 0.8975 data_time: 0.0355 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0173 loss: 0.0420 2022/08/26 11:08:42 - mmengine - INFO - Epoch(train) [329][30/63] lr: 1.0000e-05 eta: 10:16:45 time: 0.9189 data_time: 0.0356 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0177 loss: 0.0452 2022/08/26 11:08:46 - mmengine - INFO - Epoch(train) [329][35/63] lr: 1.0000e-05 eta: 10:16:45 time: 0.8902 data_time: 0.0267 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0162 loss: 0.0406 2022/08/26 11:08:50 - mmengine - INFO - Epoch(train) [329][40/63] lr: 1.0000e-05 eta: 10:16:12 time: 0.8787 data_time: 0.0271 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0163 loss: 0.0373 2022/08/26 11:08:55 - mmengine - INFO - Epoch(train) [329][45/63] lr: 1.0000e-05 eta: 10:16:12 time: 0.8888 data_time: 0.0352 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0161 loss: 0.0367 2022/08/26 11:08:59 - mmengine - INFO - Epoch(train) [329][50/63] lr: 1.0000e-05 eta: 10:15:40 time: 0.8714 data_time: 0.0280 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0145 loss: 0.0345 2022/08/26 11:09:04 - mmengine - INFO - Epoch(train) [329][55/63] lr: 1.0000e-05 eta: 10:15:40 time: 0.8840 data_time: 0.0241 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0166 loss: 0.0414 2022/08/26 11:09:08 - mmengine - INFO - Epoch(train) [329][60/63] lr: 1.0000e-05 eta: 10:15:08 time: 0.8791 data_time: 0.0242 memory: 25127 loss_text: 0.0289 loss_kernel: 0.0188 loss: 0.0477 2022/08/26 11:09:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:10:39 - mmengine - INFO - Epoch(train) [330][5/63] lr: 1.0000e-05 eta: 10:15:08 time: 9.2467 data_time: 8.4427 memory: 25127 loss_text: 0.0291 loss_kernel: 0.0195 loss: 0.0486 2022/08/26 11:10:43 - mmengine - INFO - Epoch(train) [330][10/63] lr: 1.0000e-05 eta: 10:15:33 time: 9.2885 data_time: 8.4584 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0159 loss: 0.0362 2022/08/26 11:10:47 - mmengine - INFO - Epoch(train) [330][15/63] lr: 1.0000e-05 eta: 10:15:33 time: 0.8542 data_time: 0.0319 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0167 loss: 0.0409 2022/08/26 11:10:52 - mmengine - INFO - Epoch(train) [330][20/63] lr: 1.0000e-05 eta: 10:15:01 time: 0.8682 data_time: 0.0262 memory: 25127 loss_text: 0.0320 loss_kernel: 0.0205 loss: 0.0525 2022/08/26 11:10:57 - mmengine - INFO - Epoch(train) [330][25/63] lr: 1.0000e-05 eta: 10:15:01 time: 0.9121 data_time: 0.0469 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0191 loss: 0.0476 2022/08/26 11:11:01 - mmengine - INFO - Epoch(train) [330][30/63] lr: 1.0000e-05 eta: 10:14:29 time: 0.9002 data_time: 0.0445 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0158 loss: 0.0360 2022/08/26 11:11:05 - mmengine - INFO - Epoch(train) [330][35/63] lr: 1.0000e-05 eta: 10:14:29 time: 0.8821 data_time: 0.0284 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0160 loss: 0.0371 2022/08/26 11:11:10 - mmengine - INFO - Epoch(train) [330][40/63] lr: 1.0000e-05 eta: 10:13:57 time: 0.8821 data_time: 0.0235 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0169 loss: 0.0425 2022/08/26 11:11:14 - mmengine - INFO - Epoch(train) [330][45/63] lr: 1.0000e-05 eta: 10:13:57 time: 0.8796 data_time: 0.0240 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0167 loss: 0.0408 2022/08/26 11:11:19 - mmengine - INFO - Epoch(train) [330][50/63] lr: 1.0000e-05 eta: 10:13:24 time: 0.8751 data_time: 0.0279 memory: 25127 loss_text: 0.0199 loss_kernel: 0.0152 loss: 0.0351 2022/08/26 11:11:23 - mmengine - INFO - Epoch(train) [330][55/63] lr: 1.0000e-05 eta: 10:13:24 time: 0.8510 data_time: 0.0285 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0184 loss: 0.0472 2022/08/26 11:11:27 - mmengine - INFO - Epoch(train) [330][60/63] lr: 1.0000e-05 eta: 10:12:52 time: 0.8554 data_time: 0.0225 memory: 25127 loss_text: 0.0324 loss_kernel: 0.0204 loss: 0.0529 2022/08/26 11:11:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:12:58 - mmengine - INFO - Epoch(train) [331][5/63] lr: 1.0000e-05 eta: 10:12:52 time: 9.2124 data_time: 8.4101 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0188 loss: 0.0434 2022/08/26 11:13:02 - mmengine - INFO - Epoch(train) [331][10/63] lr: 1.0000e-05 eta: 10:13:17 time: 9.2907 data_time: 8.4489 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0192 loss: 0.0457 2022/08/26 11:13:06 - mmengine - INFO - Epoch(train) [331][15/63] lr: 1.0000e-05 eta: 10:13:17 time: 0.8674 data_time: 0.0490 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0169 loss: 0.0400 2022/08/26 11:13:11 - mmengine - INFO - Epoch(train) [331][20/63] lr: 1.0000e-05 eta: 10:12:45 time: 0.8348 data_time: 0.0233 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0173 loss: 0.0423 2022/08/26 11:13:16 - mmengine - INFO - Epoch(train) [331][25/63] lr: 1.0000e-05 eta: 10:12:45 time: 0.9358 data_time: 0.0312 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0182 loss: 0.0458 2022/08/26 11:13:20 - mmengine - INFO - Epoch(train) [331][30/63] lr: 1.0000e-05 eta: 10:12:13 time: 0.9334 data_time: 0.0239 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0162 loss: 0.0400 2022/08/26 11:13:24 - mmengine - INFO - Epoch(train) [331][35/63] lr: 1.0000e-05 eta: 10:12:13 time: 0.8512 data_time: 0.0347 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0174 loss: 0.0435 2022/08/26 11:13:28 - mmengine - INFO - Epoch(train) [331][40/63] lr: 1.0000e-05 eta: 10:11:40 time: 0.8385 data_time: 0.0315 memory: 25127 loss_text: 0.0302 loss_kernel: 0.0197 loss: 0.0499 2022/08/26 11:13:33 - mmengine - INFO - Epoch(train) [331][45/63] lr: 1.0000e-05 eta: 10:11:40 time: 0.8470 data_time: 0.0272 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0171 loss: 0.0412 2022/08/26 11:13:37 - mmengine - INFO - Epoch(train) [331][50/63] lr: 1.0000e-05 eta: 10:11:08 time: 0.8628 data_time: 0.0357 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0155 loss: 0.0366 2022/08/26 11:13:41 - mmengine - INFO - Epoch(train) [331][55/63] lr: 1.0000e-05 eta: 10:11:08 time: 0.8326 data_time: 0.0248 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0169 loss: 0.0420 2022/08/26 11:13:46 - mmengine - INFO - Epoch(train) [331][60/63] lr: 1.0000e-05 eta: 10:10:36 time: 0.8649 data_time: 0.0201 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0170 loss: 0.0415 2022/08/26 11:13:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:15:18 - mmengine - INFO - Epoch(train) [332][5/63] lr: 1.0000e-05 eta: 10:10:36 time: 9.3996 data_time: 8.5893 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0173 loss: 0.0416 2022/08/26 11:15:23 - mmengine - INFO - Epoch(train) [332][10/63] lr: 1.0000e-05 eta: 10:11:02 time: 9.4731 data_time: 8.6183 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0168 loss: 0.0408 2022/08/26 11:15:27 - mmengine - INFO - Epoch(train) [332][15/63] lr: 1.0000e-05 eta: 10:11:02 time: 0.9048 data_time: 0.0382 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0188 loss: 0.0470 2022/08/26 11:15:32 - mmengine - INFO - Epoch(train) [332][20/63] lr: 1.0000e-05 eta: 10:10:30 time: 0.8950 data_time: 0.0201 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0207 loss: 0.0493 2022/08/26 11:15:36 - mmengine - INFO - Epoch(train) [332][25/63] lr: 1.0000e-05 eta: 10:10:30 time: 0.8947 data_time: 0.0279 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0197 loss: 0.0477 2022/08/26 11:15:40 - mmengine - INFO - Epoch(train) [332][30/63] lr: 1.0000e-05 eta: 10:09:58 time: 0.8911 data_time: 0.0261 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0185 loss: 0.0459 2022/08/26 11:15:45 - mmengine - INFO - Epoch(train) [332][35/63] lr: 1.0000e-05 eta: 10:09:58 time: 0.8735 data_time: 0.0339 memory: 25127 loss_text: 0.0196 loss_kernel: 0.0155 loss: 0.0350 2022/08/26 11:15:49 - mmengine - INFO - Epoch(train) [332][40/63] lr: 1.0000e-05 eta: 10:09:26 time: 0.8703 data_time: 0.0293 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0150 loss: 0.0348 2022/08/26 11:15:54 - mmengine - INFO - Epoch(train) [332][45/63] lr: 1.0000e-05 eta: 10:09:26 time: 0.8713 data_time: 0.0254 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0170 loss: 0.0413 2022/08/26 11:15:58 - mmengine - INFO - Epoch(train) [332][50/63] lr: 1.0000e-05 eta: 10:08:54 time: 0.8811 data_time: 0.0369 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0172 loss: 0.0423 2022/08/26 11:16:02 - mmengine - INFO - Epoch(train) [332][55/63] lr: 1.0000e-05 eta: 10:08:54 time: 0.8787 data_time: 0.0290 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0170 loss: 0.0400 2022/08/26 11:16:07 - mmengine - INFO - Epoch(train) [332][60/63] lr: 1.0000e-05 eta: 10:08:22 time: 0.8709 data_time: 0.0233 memory: 25127 loss_text: 0.0220 loss_kernel: 0.0164 loss: 0.0385 2022/08/26 11:16:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:17:38 - mmengine - INFO - Epoch(train) [333][5/63] lr: 1.0000e-05 eta: 10:08:22 time: 9.2512 data_time: 8.4245 memory: 25127 loss_text: 0.0183 loss_kernel: 0.0146 loss: 0.0329 2022/08/26 11:17:42 - mmengine - INFO - Epoch(train) [333][10/63] lr: 1.0000e-05 eta: 10:08:46 time: 9.3169 data_time: 8.4496 memory: 25127 loss_text: 0.0189 loss_kernel: 0.0151 loss: 0.0340 2022/08/26 11:17:47 - mmengine - INFO - Epoch(train) [333][15/63] lr: 1.0000e-05 eta: 10:08:46 time: 0.8921 data_time: 0.0341 memory: 25127 loss_text: 0.0194 loss_kernel: 0.0145 loss: 0.0338 2022/08/26 11:17:51 - mmengine - INFO - Epoch(train) [333][20/63] lr: 1.0000e-05 eta: 10:08:15 time: 0.8966 data_time: 0.0229 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0163 loss: 0.0402 2022/08/26 11:17:56 - mmengine - INFO - Epoch(train) [333][25/63] lr: 1.0000e-05 eta: 10:08:15 time: 0.8946 data_time: 0.0324 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0179 loss: 0.0456 2022/08/26 11:18:00 - mmengine - INFO - Epoch(train) [333][30/63] lr: 1.0000e-05 eta: 10:07:43 time: 0.8783 data_time: 0.0288 memory: 25127 loss_text: 0.0316 loss_kernel: 0.0193 loss: 0.0509 2022/08/26 11:18:04 - mmengine - INFO - Epoch(train) [333][35/63] lr: 1.0000e-05 eta: 10:07:43 time: 0.8718 data_time: 0.0367 memory: 25127 loss_text: 0.0289 loss_kernel: 0.0190 loss: 0.0479 2022/08/26 11:18:08 - mmengine - INFO - Epoch(train) [333][40/63] lr: 1.0000e-05 eta: 10:07:10 time: 0.8579 data_time: 0.0315 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0189 loss: 0.0469 2022/08/26 11:18:13 - mmengine - INFO - Epoch(train) [333][45/63] lr: 1.0000e-05 eta: 10:07:10 time: 0.8463 data_time: 0.0257 memory: 25127 loss_text: 0.0297 loss_kernel: 0.0192 loss: 0.0489 2022/08/26 11:18:17 - mmengine - INFO - Epoch(train) [333][50/63] lr: 1.0000e-05 eta: 10:06:38 time: 0.8511 data_time: 0.0316 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0163 loss: 0.0387 2022/08/26 11:18:21 - mmengine - INFO - Epoch(train) [333][55/63] lr: 1.0000e-05 eta: 10:06:38 time: 0.8391 data_time: 0.0243 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0154 loss: 0.0360 2022/08/26 11:18:25 - mmengine - INFO - Epoch(train) [333][60/63] lr: 1.0000e-05 eta: 10:06:06 time: 0.8326 data_time: 0.0216 memory: 25127 loss_text: 0.0260 loss_kernel: 0.0175 loss: 0.0435 2022/08/26 11:18:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:19:54 - mmengine - INFO - Epoch(train) [334][5/63] lr: 1.0000e-05 eta: 10:06:06 time: 9.0695 data_time: 8.2850 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0169 loss: 0.0408 2022/08/26 11:19:59 - mmengine - INFO - Epoch(train) [334][10/63] lr: 1.0000e-05 eta: 10:06:28 time: 9.0991 data_time: 8.2904 memory: 25127 loss_text: 0.0278 loss_kernel: 0.0189 loss: 0.0467 2022/08/26 11:20:04 - mmengine - INFO - Epoch(train) [334][15/63] lr: 1.0000e-05 eta: 10:06:28 time: 0.9078 data_time: 0.0450 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0192 loss: 0.0476 2022/08/26 11:20:08 - mmengine - INFO - Epoch(train) [334][20/63] lr: 1.0000e-05 eta: 10:05:57 time: 0.9115 data_time: 0.0437 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0173 loss: 0.0416 2022/08/26 11:20:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:20:12 - mmengine - INFO - Epoch(train) [334][25/63] lr: 1.0000e-05 eta: 10:05:57 time: 0.8298 data_time: 0.0263 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0167 loss: 0.0407 2022/08/26 11:20:16 - mmengine - INFO - Epoch(train) [334][30/63] lr: 1.0000e-05 eta: 10:05:24 time: 0.8566 data_time: 0.0461 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0166 loss: 0.0407 2022/08/26 11:20:20 - mmengine - INFO - Epoch(train) [334][35/63] lr: 1.0000e-05 eta: 10:05:24 time: 0.8479 data_time: 0.0356 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0196 loss: 0.0472 2022/08/26 11:20:25 - mmengine - INFO - Epoch(train) [334][40/63] lr: 1.0000e-05 eta: 10:04:53 time: 0.8819 data_time: 0.0230 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0192 loss: 0.0469 2022/08/26 11:20:29 - mmengine - INFO - Epoch(train) [334][45/63] lr: 1.0000e-05 eta: 10:04:53 time: 0.8824 data_time: 0.0318 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0150 loss: 0.0352 2022/08/26 11:20:33 - mmengine - INFO - Epoch(train) [334][50/63] lr: 1.0000e-05 eta: 10:04:20 time: 0.8392 data_time: 0.0206 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0154 loss: 0.0351 2022/08/26 11:20:38 - mmengine - INFO - Epoch(train) [334][55/63] lr: 1.0000e-05 eta: 10:04:20 time: 0.8384 data_time: 0.0228 memory: 25127 loss_text: 0.0189 loss_kernel: 0.0148 loss: 0.0337 2022/08/26 11:20:42 - mmengine - INFO - Epoch(train) [334][60/63] lr: 1.0000e-05 eta: 10:03:48 time: 0.8112 data_time: 0.0237 memory: 25127 loss_text: 0.0226 loss_kernel: 0.0157 loss: 0.0383 2022/08/26 11:20:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:22:13 - mmengine - INFO - Epoch(train) [335][5/63] lr: 1.0000e-05 eta: 10:03:48 time: 9.2918 data_time: 8.4563 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0177 loss: 0.0456 2022/08/26 11:22:18 - mmengine - INFO - Epoch(train) [335][10/63] lr: 1.0000e-05 eta: 10:04:12 time: 9.3300 data_time: 8.4783 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0147 loss: 0.0346 2022/08/26 11:22:22 - mmengine - INFO - Epoch(train) [335][15/63] lr: 1.0000e-05 eta: 10:04:12 time: 0.8703 data_time: 0.0360 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0156 loss: 0.0359 2022/08/26 11:22:26 - mmengine - INFO - Epoch(train) [335][20/63] lr: 1.0000e-05 eta: 10:03:40 time: 0.8507 data_time: 0.0212 memory: 25127 loss_text: 0.0333 loss_kernel: 0.0207 loss: 0.0540 2022/08/26 11:22:31 - mmengine - INFO - Epoch(train) [335][25/63] lr: 1.0000e-05 eta: 10:03:40 time: 0.8824 data_time: 0.0635 memory: 25127 loss_text: 0.0419 loss_kernel: 0.0241 loss: 0.0660 2022/08/26 11:22:35 - mmengine - INFO - Epoch(train) [335][30/63] lr: 1.0000e-05 eta: 10:03:08 time: 0.8891 data_time: 0.0588 memory: 25127 loss_text: 0.0289 loss_kernel: 0.0191 loss: 0.0480 2022/08/26 11:22:39 - mmengine - INFO - Epoch(train) [335][35/63] lr: 1.0000e-05 eta: 10:03:08 time: 0.8773 data_time: 0.0353 memory: 25127 loss_text: 0.0189 loss_kernel: 0.0144 loss: 0.0333 2022/08/26 11:22:44 - mmengine - INFO - Epoch(train) [335][40/63] lr: 1.0000e-05 eta: 10:02:36 time: 0.8805 data_time: 0.0370 memory: 25127 loss_text: 0.0189 loss_kernel: 0.0138 loss: 0.0327 2022/08/26 11:22:48 - mmengine - INFO - Epoch(train) [335][45/63] lr: 1.0000e-05 eta: 10:02:36 time: 0.8646 data_time: 0.0269 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0161 loss: 0.0403 2022/08/26 11:22:52 - mmengine - INFO - Epoch(train) [335][50/63] lr: 1.0000e-05 eta: 10:02:04 time: 0.8742 data_time: 0.0318 memory: 25127 loss_text: 0.0289 loss_kernel: 0.0185 loss: 0.0474 2022/08/26 11:22:57 - mmengine - INFO - Epoch(train) [335][55/63] lr: 1.0000e-05 eta: 10:02:04 time: 0.8714 data_time: 0.0308 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0175 loss: 0.0425 2022/08/26 11:23:01 - mmengine - INFO - Epoch(train) [335][60/63] lr: 1.0000e-05 eta: 10:01:32 time: 0.8312 data_time: 0.0226 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0155 loss: 0.0355 2022/08/26 11:23:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:24:32 - mmengine - INFO - Epoch(train) [336][5/63] lr: 1.0000e-05 eta: 10:01:32 time: 9.2234 data_time: 8.3941 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0160 loss: 0.0361 2022/08/26 11:24:36 - mmengine - INFO - Epoch(train) [336][10/63] lr: 1.0000e-05 eta: 10:01:55 time: 9.2874 data_time: 8.4214 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0180 loss: 0.0431 2022/08/26 11:24:40 - mmengine - INFO - Epoch(train) [336][15/63] lr: 1.0000e-05 eta: 10:01:55 time: 0.8875 data_time: 0.0389 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0176 loss: 0.0445 2022/08/26 11:24:45 - mmengine - INFO - Epoch(train) [336][20/63] lr: 1.0000e-05 eta: 10:01:23 time: 0.8657 data_time: 0.0189 memory: 25127 loss_text: 0.0266 loss_kernel: 0.0171 loss: 0.0437 2022/08/26 11:24:49 - mmengine - INFO - Epoch(train) [336][25/63] lr: 1.0000e-05 eta: 10:01:23 time: 0.8761 data_time: 0.0417 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0181 loss: 0.0455 2022/08/26 11:24:54 - mmengine - INFO - Epoch(train) [336][30/63] lr: 1.0000e-05 eta: 10:00:52 time: 0.8826 data_time: 0.0371 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0171 loss: 0.0414 2022/08/26 11:24:58 - mmengine - INFO - Epoch(train) [336][35/63] lr: 1.0000e-05 eta: 10:00:52 time: 0.8651 data_time: 0.0247 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0154 loss: 0.0363 2022/08/26 11:25:02 - mmengine - INFO - Epoch(train) [336][40/63] lr: 1.0000e-05 eta: 10:00:20 time: 0.8686 data_time: 0.0353 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0168 loss: 0.0397 2022/08/26 11:25:06 - mmengine - INFO - Epoch(train) [336][45/63] lr: 1.0000e-05 eta: 10:00:20 time: 0.8605 data_time: 0.0259 memory: 25127 loss_text: 0.0270 loss_kernel: 0.0188 loss: 0.0458 2022/08/26 11:25:11 - mmengine - INFO - Epoch(train) [336][50/63] lr: 1.0000e-05 eta: 9:59:48 time: 0.8602 data_time: 0.0244 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0175 loss: 0.0416 2022/08/26 11:25:15 - mmengine - INFO - Epoch(train) [336][55/63] lr: 1.0000e-05 eta: 9:59:48 time: 0.8757 data_time: 0.0316 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0158 loss: 0.0366 2022/08/26 11:25:20 - mmengine - INFO - Epoch(train) [336][60/63] lr: 1.0000e-05 eta: 9:59:16 time: 0.8665 data_time: 0.0208 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0167 loss: 0.0408 2022/08/26 11:25:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:26:50 - mmengine - INFO - Epoch(train) [337][5/63] lr: 1.0000e-05 eta: 9:59:16 time: 9.1751 data_time: 8.3823 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0162 loss: 0.0397 2022/08/26 11:26:54 - mmengine - INFO - Epoch(train) [337][10/63] lr: 1.0000e-05 eta: 9:59:38 time: 9.2188 data_time: 8.4011 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0171 loss: 0.0413 2022/08/26 11:26:58 - mmengine - INFO - Epoch(train) [337][15/63] lr: 1.0000e-05 eta: 9:59:38 time: 0.8342 data_time: 0.0360 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0203 loss: 0.0496 2022/08/26 11:27:02 - mmengine - INFO - Epoch(train) [337][20/63] lr: 1.0000e-05 eta: 9:59:06 time: 0.8227 data_time: 0.0343 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0209 loss: 0.0498 2022/08/26 11:27:07 - mmengine - INFO - Epoch(train) [337][25/63] lr: 1.0000e-05 eta: 9:59:06 time: 0.9028 data_time: 0.0351 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0222 loss: 0.0553 2022/08/26 11:27:11 - mmengine - INFO - Epoch(train) [337][30/63] lr: 1.0000e-05 eta: 9:58:35 time: 0.8984 data_time: 0.0243 memory: 25127 loss_text: 0.0341 loss_kernel: 0.0216 loss: 0.0557 2022/08/26 11:27:15 - mmengine - INFO - Epoch(train) [337][35/63] lr: 1.0000e-05 eta: 9:58:35 time: 0.8385 data_time: 0.0276 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0176 loss: 0.0425 2022/08/26 11:27:20 - mmengine - INFO - Epoch(train) [337][40/63] lr: 1.0000e-05 eta: 9:58:03 time: 0.8390 data_time: 0.0252 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0155 loss: 0.0363 2022/08/26 11:27:25 - mmengine - INFO - Epoch(train) [337][45/63] lr: 1.0000e-05 eta: 9:58:03 time: 0.9331 data_time: 0.0285 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0149 loss: 0.0365 2022/08/26 11:27:29 - mmengine - INFO - Epoch(train) [337][50/63] lr: 1.0000e-05 eta: 9:57:32 time: 0.9629 data_time: 0.0294 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0153 loss: 0.0363 2022/08/26 11:27:34 - mmengine - INFO - Epoch(train) [337][55/63] lr: 1.0000e-05 eta: 9:57:32 time: 0.8736 data_time: 0.0276 memory: 25127 loss_text: 0.0204 loss_kernel: 0.0152 loss: 0.0356 2022/08/26 11:27:38 - mmengine - INFO - Epoch(train) [337][60/63] lr: 1.0000e-05 eta: 9:57:00 time: 0.8648 data_time: 0.0261 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0146 loss: 0.0344 2022/08/26 11:27:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:29:08 - mmengine - INFO - Epoch(train) [338][5/63] lr: 1.0000e-05 eta: 9:57:00 time: 9.2077 data_time: 8.3723 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0162 loss: 0.0402 2022/08/26 11:29:13 - mmengine - INFO - Epoch(train) [338][10/63] lr: 1.0000e-05 eta: 9:57:22 time: 9.2461 data_time: 8.3826 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0144 loss: 0.0345 2022/08/26 11:29:17 - mmengine - INFO - Epoch(train) [338][15/63] lr: 1.0000e-05 eta: 9:57:22 time: 0.8647 data_time: 0.0352 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0159 loss: 0.0365 2022/08/26 11:29:21 - mmengine - INFO - Epoch(train) [338][20/63] lr: 1.0000e-05 eta: 9:56:50 time: 0.8859 data_time: 0.0362 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0164 loss: 0.0373 2022/08/26 11:29:26 - mmengine - INFO - Epoch(train) [338][25/63] lr: 1.0000e-05 eta: 9:56:50 time: 0.8801 data_time: 0.0312 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0204 loss: 0.0497 2022/08/26 11:29:30 - mmengine - INFO - Epoch(train) [338][30/63] lr: 1.0000e-05 eta: 9:56:19 time: 0.8738 data_time: 0.0327 memory: 25127 loss_text: 0.0331 loss_kernel: 0.0212 loss: 0.0543 2022/08/26 11:29:35 - mmengine - INFO - Epoch(train) [338][35/63] lr: 1.0000e-05 eta: 9:56:19 time: 0.8806 data_time: 0.0384 memory: 25127 loss_text: 0.0271 loss_kernel: 0.0181 loss: 0.0452 2022/08/26 11:29:39 - mmengine - INFO - Epoch(train) [338][40/63] lr: 1.0000e-05 eta: 9:55:47 time: 0.8574 data_time: 0.0309 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0172 loss: 0.0402 2022/08/26 11:29:43 - mmengine - INFO - Epoch(train) [338][45/63] lr: 1.0000e-05 eta: 9:55:47 time: 0.8420 data_time: 0.0323 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0190 loss: 0.0478 2022/08/26 11:29:47 - mmengine - INFO - Epoch(train) [338][50/63] lr: 1.0000e-05 eta: 9:55:15 time: 0.8619 data_time: 0.0310 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0193 loss: 0.0479 2022/08/26 11:29:52 - mmengine - INFO - Epoch(train) [338][55/63] lr: 1.0000e-05 eta: 9:55:15 time: 0.8683 data_time: 0.0311 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0173 loss: 0.0418 2022/08/26 11:29:56 - mmengine - INFO - Epoch(train) [338][60/63] lr: 1.0000e-05 eta: 9:54:43 time: 0.8689 data_time: 0.0263 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0167 loss: 0.0409 2022/08/26 11:29:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:31:26 - mmengine - INFO - Epoch(train) [339][5/63] lr: 1.0000e-05 eta: 9:54:43 time: 9.1320 data_time: 8.3260 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0170 loss: 0.0411 2022/08/26 11:31:30 - mmengine - INFO - Epoch(train) [339][10/63] lr: 1.0000e-05 eta: 9:55:05 time: 9.2163 data_time: 8.3506 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0179 loss: 0.0436 2022/08/26 11:31:35 - mmengine - INFO - Epoch(train) [339][15/63] lr: 1.0000e-05 eta: 9:55:05 time: 0.8961 data_time: 0.0397 memory: 25127 loss_text: 0.0246 loss_kernel: 0.0179 loss: 0.0425 2022/08/26 11:31:39 - mmengine - INFO - Epoch(train) [339][20/63] lr: 1.0000e-05 eta: 9:54:33 time: 0.8746 data_time: 0.0242 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0168 loss: 0.0402 2022/08/26 11:31:44 - mmengine - INFO - Epoch(train) [339][25/63] lr: 1.0000e-05 eta: 9:54:33 time: 0.8705 data_time: 0.0447 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0161 loss: 0.0396 2022/08/26 11:31:48 - mmengine - INFO - Epoch(train) [339][30/63] lr: 1.0000e-05 eta: 9:54:02 time: 0.8858 data_time: 0.0299 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0156 loss: 0.0385 2022/08/26 11:31:53 - mmengine - INFO - Epoch(train) [339][35/63] lr: 1.0000e-05 eta: 9:54:02 time: 0.8879 data_time: 0.0243 memory: 25127 loss_text: 0.0181 loss_kernel: 0.0143 loss: 0.0324 2022/08/26 11:31:57 - mmengine - INFO - Epoch(train) [339][40/63] lr: 1.0000e-05 eta: 9:53:31 time: 0.9152 data_time: 0.0365 memory: 25127 loss_text: 0.0192 loss_kernel: 0.0149 loss: 0.0341 2022/08/26 11:32:02 - mmengine - INFO - Epoch(train) [339][45/63] lr: 1.0000e-05 eta: 9:53:31 time: 0.9027 data_time: 0.0304 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0147 loss: 0.0353 2022/08/26 11:32:06 - mmengine - INFO - Epoch(train) [339][50/63] lr: 1.0000e-05 eta: 9:52:59 time: 0.8705 data_time: 0.0330 memory: 25127 loss_text: 0.0292 loss_kernel: 0.0187 loss: 0.0479 2022/08/26 11:32:10 - mmengine - INFO - Epoch(train) [339][55/63] lr: 1.0000e-05 eta: 9:52:59 time: 0.8780 data_time: 0.0336 memory: 25127 loss_text: 0.0367 loss_kernel: 0.0224 loss: 0.0591 2022/08/26 11:32:15 - mmengine - INFO - Epoch(train) [339][60/63] lr: 1.0000e-05 eta: 9:52:27 time: 0.8578 data_time: 0.0296 memory: 25127 loss_text: 0.0413 loss_kernel: 0.0244 loss: 0.0657 2022/08/26 11:32:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:33:45 - mmengine - INFO - Epoch(train) [340][5/63] lr: 1.0000e-05 eta: 9:52:27 time: 9.1804 data_time: 8.3889 memory: 25127 loss_text: 0.0280 loss_kernel: 0.0184 loss: 0.0464 2022/08/26 11:33:49 - mmengine - INFO - Epoch(train) [340][10/63] lr: 1.0000e-05 eta: 9:52:49 time: 9.2482 data_time: 8.4139 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0168 loss: 0.0406 2022/08/26 11:33:53 - mmengine - INFO - Epoch(train) [340][15/63] lr: 1.0000e-05 eta: 9:52:49 time: 0.8500 data_time: 0.0423 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0168 loss: 0.0402 2022/08/26 11:33:59 - mmengine - INFO - Epoch(train) [340][20/63] lr: 1.0000e-05 eta: 9:52:18 time: 0.9246 data_time: 0.0332 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0160 loss: 0.0366 2022/08/26 11:34:03 - mmengine - INFO - Epoch(train) [340][25/63] lr: 1.0000e-05 eta: 9:52:18 time: 0.9243 data_time: 0.0280 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0183 loss: 0.0457 2022/08/26 11:34:07 - mmengine - INFO - Epoch(train) [340][30/63] lr: 1.0000e-05 eta: 9:51:46 time: 0.8454 data_time: 0.0332 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0171 loss: 0.0427 2022/08/26 11:34:11 - mmengine - INFO - Epoch(train) [340][35/63] lr: 1.0000e-05 eta: 9:51:46 time: 0.8658 data_time: 0.0416 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0152 loss: 0.0347 2022/08/26 11:34:16 - mmengine - INFO - Epoch(train) [340][40/63] lr: 1.0000e-05 eta: 9:51:14 time: 0.8803 data_time: 0.0261 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0172 loss: 0.0410 2022/08/26 11:34:20 - mmengine - INFO - Epoch(train) [340][45/63] lr: 1.0000e-05 eta: 9:51:14 time: 0.8945 data_time: 0.0331 memory: 25127 loss_text: 0.0318 loss_kernel: 0.0201 loss: 0.0520 2022/08/26 11:34:25 - mmengine - INFO - Epoch(train) [340][50/63] lr: 1.0000e-05 eta: 9:50:43 time: 0.8857 data_time: 0.0368 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0192 loss: 0.0478 2022/08/26 11:34:29 - mmengine - INFO - Epoch(train) [340][55/63] lr: 1.0000e-05 eta: 9:50:43 time: 0.8714 data_time: 0.0251 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0157 loss: 0.0358 2022/08/26 11:34:33 - mmengine - INFO - Epoch(train) [340][60/63] lr: 1.0000e-05 eta: 9:50:11 time: 0.8707 data_time: 0.0221 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0170 loss: 0.0422 2022/08/26 11:34:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:34:36 - mmengine - INFO - Saving checkpoint at 340 epochs 2022/08/26 11:36:10 - mmengine - INFO - Epoch(train) [341][5/63] lr: 1.0000e-05 eta: 9:50:11 time: 9.2534 data_time: 8.4423 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0175 loss: 0.0426 2022/08/26 11:36:15 - mmengine - INFO - Epoch(train) [341][10/63] lr: 1.0000e-05 eta: 9:50:33 time: 9.3088 data_time: 8.4764 memory: 25127 loss_text: 0.0206 loss_kernel: 0.0150 loss: 0.0356 2022/08/26 11:36:19 - mmengine - INFO - Epoch(train) [341][15/63] lr: 1.0000e-05 eta: 9:50:33 time: 0.8681 data_time: 0.0463 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0153 loss: 0.0359 2022/08/26 11:36:23 - mmengine - INFO - Epoch(train) [341][20/63] lr: 1.0000e-05 eta: 9:50:01 time: 0.8408 data_time: 0.0199 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0165 loss: 0.0404 2022/08/26 11:36:28 - mmengine - INFO - Epoch(train) [341][25/63] lr: 1.0000e-05 eta: 9:50:01 time: 0.9145 data_time: 0.0342 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0168 loss: 0.0416 2022/08/26 11:36:32 - mmengine - INFO - Epoch(train) [341][30/63] lr: 1.0000e-05 eta: 9:49:30 time: 0.9139 data_time: 0.0269 memory: 25127 loss_text: 0.0204 loss_kernel: 0.0153 loss: 0.0357 2022/08/26 11:36:36 - mmengine - INFO - Epoch(train) [341][35/63] lr: 1.0000e-05 eta: 9:49:30 time: 0.8436 data_time: 0.0230 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0158 loss: 0.0361 2022/08/26 11:36:40 - mmengine - INFO - Epoch(train) [341][40/63] lr: 1.0000e-05 eta: 9:48:58 time: 0.8323 data_time: 0.0247 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0165 loss: 0.0381 2022/08/26 11:36:45 - mmengine - INFO - Epoch(train) [341][45/63] lr: 1.0000e-05 eta: 9:48:58 time: 0.8785 data_time: 0.0205 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0154 loss: 0.0364 2022/08/26 11:36:49 - mmengine - INFO - Epoch(train) [341][50/63] lr: 1.0000e-05 eta: 9:48:27 time: 0.8847 data_time: 0.0276 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0165 loss: 0.0397 2022/08/26 11:36:53 - mmengine - INFO - Epoch(train) [341][55/63] lr: 1.0000e-05 eta: 9:48:27 time: 0.8245 data_time: 0.0261 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0171 loss: 0.0407 2022/08/26 11:36:58 - mmengine - INFO - Epoch(train) [341][60/63] lr: 1.0000e-05 eta: 9:47:55 time: 0.8342 data_time: 0.0298 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0149 loss: 0.0350 2022/08/26 11:37:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:38:29 - mmengine - INFO - Epoch(train) [342][5/63] lr: 1.0000e-05 eta: 9:47:55 time: 9.2991 data_time: 8.5079 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0180 loss: 0.0461 2022/08/26 11:38:34 - mmengine - INFO - Epoch(train) [342][10/63] lr: 1.0000e-05 eta: 9:48:17 time: 9.3841 data_time: 8.5421 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0163 loss: 0.0395 2022/08/26 11:38:38 - mmengine - INFO - Epoch(train) [342][15/63] lr: 1.0000e-05 eta: 9:48:17 time: 0.9014 data_time: 0.0448 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0179 loss: 0.0437 2022/08/26 11:38:42 - mmengine - INFO - Epoch(train) [342][20/63] lr: 1.0000e-05 eta: 9:47:46 time: 0.8701 data_time: 0.0234 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0206 loss: 0.0528 2022/08/26 11:38:47 - mmengine - INFO - Epoch(train) [342][25/63] lr: 1.0000e-05 eta: 9:47:46 time: 0.8536 data_time: 0.0321 memory: 25127 loss_text: 0.0254 loss_kernel: 0.0174 loss: 0.0428 2022/08/26 11:38:51 - mmengine - INFO - Epoch(train) [342][30/63] lr: 1.0000e-05 eta: 9:47:14 time: 0.8519 data_time: 0.0240 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0147 loss: 0.0344 2022/08/26 11:38:55 - mmengine - INFO - Epoch(train) [342][35/63] lr: 1.0000e-05 eta: 9:47:14 time: 0.8594 data_time: 0.0303 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0146 loss: 0.0345 2022/08/26 11:38:59 - mmengine - INFO - Epoch(train) [342][40/63] lr: 1.0000e-05 eta: 9:46:43 time: 0.8623 data_time: 0.0291 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0171 loss: 0.0407 2022/08/26 11:39:04 - mmengine - INFO - Epoch(train) [342][45/63] lr: 1.0000e-05 eta: 9:46:43 time: 0.8983 data_time: 0.0648 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0197 loss: 0.0482 2022/08/26 11:39:09 - mmengine - INFO - Epoch(train) [342][50/63] lr: 1.0000e-05 eta: 9:46:11 time: 0.9182 data_time: 0.0735 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0169 loss: 0.0419 2022/08/26 11:39:13 - mmengine - INFO - Epoch(train) [342][55/63] lr: 1.0000e-05 eta: 9:46:11 time: 0.8687 data_time: 0.0280 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0171 loss: 0.0422 2022/08/26 11:39:17 - mmengine - INFO - Epoch(train) [342][60/63] lr: 1.0000e-05 eta: 9:45:40 time: 0.8496 data_time: 0.0212 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0186 loss: 0.0472 2022/08/26 11:39:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:40:48 - mmengine - INFO - Epoch(train) [343][5/63] lr: 1.0000e-05 eta: 9:45:40 time: 9.2650 data_time: 8.4507 memory: 25127 loss_text: 0.0227 loss_kernel: 0.0159 loss: 0.0386 2022/08/26 11:40:53 - mmengine - INFO - Epoch(train) [343][10/63] lr: 1.0000e-05 eta: 9:46:01 time: 9.3265 data_time: 8.4723 memory: 25127 loss_text: 0.0213 loss_kernel: 0.0161 loss: 0.0375 2022/08/26 11:40:57 - mmengine - INFO - Epoch(train) [343][15/63] lr: 1.0000e-05 eta: 9:46:01 time: 0.8792 data_time: 0.0335 memory: 25127 loss_text: 0.0283 loss_kernel: 0.0189 loss: 0.0472 2022/08/26 11:41:01 - mmengine - INFO - Epoch(train) [343][20/63] lr: 1.0000e-05 eta: 9:45:29 time: 0.8550 data_time: 0.0206 memory: 25127 loss_text: 0.0343 loss_kernel: 0.0207 loss: 0.0550 2022/08/26 11:41:06 - mmengine - INFO - Epoch(train) [343][25/63] lr: 1.0000e-05 eta: 9:45:29 time: 0.8729 data_time: 0.0352 memory: 25127 loss_text: 0.0309 loss_kernel: 0.0189 loss: 0.0498 2022/08/26 11:41:10 - mmengine - INFO - Epoch(train) [343][30/63] lr: 1.0000e-05 eta: 9:44:58 time: 0.8799 data_time: 0.0294 memory: 25127 loss_text: 0.0259 loss_kernel: 0.0169 loss: 0.0428 2022/08/26 11:41:14 - mmengine - INFO - Epoch(train) [343][35/63] lr: 1.0000e-05 eta: 9:44:58 time: 0.8585 data_time: 0.0242 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0162 loss: 0.0404 2022/08/26 11:41:19 - mmengine - INFO - Epoch(train) [343][40/63] lr: 1.0000e-05 eta: 9:44:27 time: 0.8476 data_time: 0.0257 memory: 25127 loss_text: 0.0276 loss_kernel: 0.0180 loss: 0.0456 2022/08/26 11:41:23 - mmengine - INFO - Epoch(train) [343][45/63] lr: 1.0000e-05 eta: 9:44:27 time: 0.8532 data_time: 0.0247 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0170 loss: 0.0410 2022/08/26 11:41:27 - mmengine - INFO - Epoch(train) [343][50/63] lr: 1.0000e-05 eta: 9:43:55 time: 0.8541 data_time: 0.0283 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0150 loss: 0.0346 2022/08/26 11:41:31 - mmengine - INFO - Epoch(train) [343][55/63] lr: 1.0000e-05 eta: 9:43:55 time: 0.8617 data_time: 0.0255 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0180 loss: 0.0460 2022/08/26 11:41:36 - mmengine - INFO - Epoch(train) [343][60/63] lr: 1.0000e-05 eta: 9:43:24 time: 0.8839 data_time: 0.0200 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0191 loss: 0.0482 2022/08/26 11:41:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:43:06 - mmengine - INFO - Epoch(train) [344][5/63] lr: 1.0000e-05 eta: 9:43:24 time: 9.1640 data_time: 8.3466 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0157 loss: 0.0365 2022/08/26 11:43:10 - mmengine - INFO - Epoch(train) [344][10/63] lr: 1.0000e-05 eta: 9:43:44 time: 9.1930 data_time: 8.3599 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0156 loss: 0.0356 2022/08/26 11:43:14 - mmengine - INFO - Epoch(train) [344][15/63] lr: 1.0000e-05 eta: 9:43:44 time: 0.8499 data_time: 0.0317 memory: 25127 loss_text: 0.0279 loss_kernel: 0.0186 loss: 0.0465 2022/08/26 11:43:20 - mmengine - INFO - Epoch(train) [344][20/63] lr: 1.0000e-05 eta: 9:43:13 time: 0.9309 data_time: 0.0339 memory: 25127 loss_text: 0.0284 loss_kernel: 0.0187 loss: 0.0471 2022/08/26 11:43:24 - mmengine - INFO - Epoch(train) [344][25/63] lr: 1.0000e-05 eta: 9:43:13 time: 0.9189 data_time: 0.0313 memory: 25127 loss_text: 0.0192 loss_kernel: 0.0145 loss: 0.0337 2022/08/26 11:43:28 - mmengine - INFO - Epoch(train) [344][30/63] lr: 1.0000e-05 eta: 9:42:41 time: 0.8611 data_time: 0.0226 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0141 loss: 0.0339 2022/08/26 11:43:32 - mmengine - INFO - Epoch(train) [344][35/63] lr: 1.0000e-05 eta: 9:42:41 time: 0.8769 data_time: 0.0319 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0195 loss: 0.0505 2022/08/26 11:43:37 - mmengine - INFO - Epoch(train) [344][40/63] lr: 1.0000e-05 eta: 9:42:10 time: 0.8879 data_time: 0.0263 memory: 25127 loss_text: 0.0360 loss_kernel: 0.0216 loss: 0.0576 2022/08/26 11:43:41 - mmengine - INFO - Epoch(train) [344][45/63] lr: 1.0000e-05 eta: 9:42:10 time: 0.8862 data_time: 0.0235 memory: 25127 loss_text: 0.0299 loss_kernel: 0.0186 loss: 0.0484 2022/08/26 11:43:46 - mmengine - INFO - Epoch(train) [344][50/63] lr: 1.0000e-05 eta: 9:41:39 time: 0.8946 data_time: 0.0280 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0170 loss: 0.0418 2022/08/26 11:43:50 - mmengine - INFO - Epoch(train) [344][55/63] lr: 1.0000e-05 eta: 9:41:39 time: 0.8915 data_time: 0.0272 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0151 loss: 0.0353 2022/08/26 11:43:54 - mmengine - INFO - Epoch(train) [344][60/63] lr: 1.0000e-05 eta: 9:41:08 time: 0.8534 data_time: 0.0255 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0157 loss: 0.0354 2022/08/26 11:43:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:45:26 - mmengine - INFO - Epoch(train) [345][5/63] lr: 1.0000e-05 eta: 9:41:08 time: 9.3162 data_time: 8.4963 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0183 loss: 0.0448 2022/08/26 11:45:30 - mmengine - INFO - Epoch(train) [345][10/63] lr: 1.0000e-05 eta: 9:41:28 time: 9.3308 data_time: 8.4990 memory: 25127 loss_text: 0.0171 loss_kernel: 0.0131 loss: 0.0301 2022/08/26 11:45:35 - mmengine - INFO - Epoch(train) [345][15/63] lr: 1.0000e-05 eta: 9:41:28 time: 0.8765 data_time: 0.0349 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0180 loss: 0.0424 2022/08/26 11:45:40 - mmengine - INFO - Epoch(train) [345][20/63] lr: 1.0000e-05 eta: 9:40:57 time: 0.9187 data_time: 0.0584 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0184 loss: 0.0440 2022/08/26 11:45:44 - mmengine - INFO - Epoch(train) [345][25/63] lr: 1.0000e-05 eta: 9:40:57 time: 0.8985 data_time: 0.0497 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0152 loss: 0.0364 2022/08/26 11:45:49 - mmengine - INFO - Epoch(train) [345][30/63] lr: 1.0000e-05 eta: 9:40:26 time: 0.8994 data_time: 0.0354 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0157 loss: 0.0376 2022/08/26 11:45:53 - mmengine - INFO - Epoch(train) [345][35/63] lr: 1.0000e-05 eta: 9:40:26 time: 0.8996 data_time: 0.0370 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0183 loss: 0.0436 2022/08/26 11:45:57 - mmengine - INFO - Epoch(train) [345][40/63] lr: 1.0000e-05 eta: 9:39:55 time: 0.8708 data_time: 0.0343 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0184 loss: 0.0433 2022/08/26 11:46:02 - mmengine - INFO - Epoch(train) [345][45/63] lr: 1.0000e-05 eta: 9:39:55 time: 0.8725 data_time: 0.0301 memory: 25127 loss_text: 0.0244 loss_kernel: 0.0169 loss: 0.0413 2022/08/26 11:46:06 - mmengine - INFO - Epoch(train) [345][50/63] lr: 1.0000e-05 eta: 9:39:24 time: 0.9123 data_time: 0.0246 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0164 loss: 0.0402 2022/08/26 11:46:11 - mmengine - INFO - Epoch(train) [345][55/63] lr: 1.0000e-05 eta: 9:39:24 time: 0.9046 data_time: 0.0264 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0157 loss: 0.0355 2022/08/26 11:46:15 - mmengine - INFO - Epoch(train) [345][60/63] lr: 1.0000e-05 eta: 9:38:53 time: 0.8591 data_time: 0.0291 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0177 loss: 0.0412 2022/08/26 11:46:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:47:45 - mmengine - INFO - Epoch(train) [346][5/63] lr: 1.0000e-05 eta: 9:38:53 time: 9.1999 data_time: 8.3963 memory: 25127 loss_text: 0.0191 loss_kernel: 0.0148 loss: 0.0339 2022/08/26 11:47:50 - mmengine - INFO - Epoch(train) [346][10/63] lr: 1.0000e-05 eta: 9:39:13 time: 9.2931 data_time: 8.4310 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0163 loss: 0.0397 2022/08/26 11:47:55 - mmengine - INFO - Epoch(train) [346][15/63] lr: 1.0000e-05 eta: 9:39:13 time: 0.9211 data_time: 0.0485 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0164 loss: 0.0398 2022/08/26 11:47:59 - mmengine - INFO - Epoch(train) [346][20/63] lr: 1.0000e-05 eta: 9:38:42 time: 0.8838 data_time: 0.0209 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0161 loss: 0.0390 2022/08/26 11:48:03 - mmengine - INFO - Epoch(train) [346][25/63] lr: 1.0000e-05 eta: 9:38:42 time: 0.8802 data_time: 0.0415 memory: 25127 loss_text: 0.0236 loss_kernel: 0.0158 loss: 0.0394 2022/08/26 11:48:08 - mmengine - INFO - Epoch(train) [346][30/63] lr: 1.0000e-05 eta: 9:38:10 time: 0.8751 data_time: 0.0301 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0166 loss: 0.0408 2022/08/26 11:48:12 - mmengine - INFO - Epoch(train) [346][35/63] lr: 1.0000e-05 eta: 9:38:10 time: 0.8710 data_time: 0.0242 memory: 25127 loss_text: 0.0326 loss_kernel: 0.0221 loss: 0.0546 2022/08/26 11:48:17 - mmengine - INFO - Epoch(train) [346][40/63] lr: 1.0000e-05 eta: 9:37:39 time: 0.8853 data_time: 0.0321 memory: 25127 loss_text: 0.0419 loss_kernel: 0.0256 loss: 0.0675 2022/08/26 11:48:21 - mmengine - INFO - Epoch(train) [346][45/63] lr: 1.0000e-05 eta: 9:37:39 time: 0.8765 data_time: 0.0279 memory: 25127 loss_text: 0.0371 loss_kernel: 0.0226 loss: 0.0597 2022/08/26 11:48:25 - mmengine - INFO - Epoch(train) [346][50/63] lr: 1.0000e-05 eta: 9:37:08 time: 0.8668 data_time: 0.0314 memory: 25127 loss_text: 0.0229 loss_kernel: 0.0163 loss: 0.0391 2022/08/26 11:48:30 - mmengine - INFO - Epoch(train) [346][55/63] lr: 1.0000e-05 eta: 9:37:08 time: 0.8732 data_time: 0.0315 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0148 loss: 0.0349 2022/08/26 11:48:34 - mmengine - INFO - Epoch(train) [346][60/63] lr: 1.0000e-05 eta: 9:36:37 time: 0.8602 data_time: 0.0218 memory: 25127 loss_text: 0.0205 loss_kernel: 0.0154 loss: 0.0359 2022/08/26 11:48:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:50:04 - mmengine - INFO - Epoch(train) [347][5/63] lr: 1.0000e-05 eta: 9:36:37 time: 9.1563 data_time: 8.3467 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0173 loss: 0.0422 2022/08/26 11:50:08 - mmengine - INFO - Epoch(train) [347][10/63] lr: 1.0000e-05 eta: 9:36:56 time: 9.2089 data_time: 8.3696 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0144 loss: 0.0353 2022/08/26 11:50:12 - mmengine - INFO - Epoch(train) [347][15/63] lr: 1.0000e-05 eta: 9:36:56 time: 0.8513 data_time: 0.0334 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0163 loss: 0.0401 2022/08/26 11:50:18 - mmengine - INFO - Epoch(train) [347][20/63] lr: 1.0000e-05 eta: 9:36:25 time: 0.9349 data_time: 0.0281 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0189 loss: 0.0475 2022/08/26 11:50:22 - mmengine - INFO - Epoch(train) [347][25/63] lr: 1.0000e-05 eta: 9:36:25 time: 0.9373 data_time: 0.0366 memory: 25127 loss_text: 0.0274 loss_kernel: 0.0192 loss: 0.0465 2022/08/26 11:50:26 - mmengine - INFO - Epoch(train) [347][30/63] lr: 1.0000e-05 eta: 9:35:54 time: 0.8473 data_time: 0.0257 memory: 25127 loss_text: 0.0277 loss_kernel: 0.0191 loss: 0.0468 2022/08/26 11:50:30 - mmengine - INFO - Epoch(train) [347][35/63] lr: 1.0000e-05 eta: 9:35:54 time: 0.8602 data_time: 0.0376 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0158 loss: 0.0392 2022/08/26 11:50:34 - mmengine - INFO - Epoch(train) [347][40/63] lr: 1.0000e-05 eta: 9:35:23 time: 0.8408 data_time: 0.0316 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0144 loss: 0.0344 2022/08/26 11:50:39 - mmengine - INFO - Epoch(train) [347][45/63] lr: 1.0000e-05 eta: 9:35:23 time: 0.8700 data_time: 0.0232 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0177 loss: 0.0427 2022/08/26 11:50:43 - mmengine - INFO - Epoch(train) [347][50/63] lr: 1.0000e-05 eta: 9:34:52 time: 0.9019 data_time: 0.0319 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0170 loss: 0.0407 2022/08/26 11:50:48 - mmengine - INFO - Epoch(train) [347][55/63] lr: 1.0000e-05 eta: 9:34:52 time: 0.8828 data_time: 0.0269 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0147 loss: 0.0347 2022/08/26 11:50:52 - mmengine - INFO - Epoch(train) [347][60/63] lr: 1.0000e-05 eta: 9:34:21 time: 0.8715 data_time: 0.0228 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0168 loss: 0.0410 2022/08/26 11:50:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:52:21 - mmengine - INFO - Epoch(train) [348][5/63] lr: 1.0000e-05 eta: 9:34:21 time: 9.0636 data_time: 8.2521 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0166 loss: 0.0406 2022/08/26 11:52:26 - mmengine - INFO - Epoch(train) [348][10/63] lr: 1.0000e-05 eta: 9:34:39 time: 9.1373 data_time: 8.2822 memory: 25127 loss_text: 0.0215 loss_kernel: 0.0154 loss: 0.0369 2022/08/26 11:52:31 - mmengine - INFO - Epoch(train) [348][15/63] lr: 1.0000e-05 eta: 9:34:39 time: 0.9287 data_time: 0.0452 memory: 25127 loss_text: 0.0258 loss_kernel: 0.0178 loss: 0.0435 2022/08/26 11:52:35 - mmengine - INFO - Epoch(train) [348][20/63] lr: 1.0000e-05 eta: 9:34:08 time: 0.9068 data_time: 0.0274 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0164 loss: 0.0396 2022/08/26 11:52:39 - mmengine - INFO - Epoch(train) [348][25/63] lr: 1.0000e-05 eta: 9:34:08 time: 0.8739 data_time: 0.0397 memory: 25127 loss_text: 0.0184 loss_kernel: 0.0139 loss: 0.0323 2022/08/26 11:52:44 - mmengine - INFO - Epoch(train) [348][30/63] lr: 1.0000e-05 eta: 9:33:37 time: 0.8738 data_time: 0.0308 memory: 25127 loss_text: 0.0185 loss_kernel: 0.0145 loss: 0.0331 2022/08/26 11:52:48 - mmengine - INFO - Epoch(train) [348][35/63] lr: 1.0000e-05 eta: 9:33:37 time: 0.8745 data_time: 0.0291 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0150 loss: 0.0352 2022/08/26 11:52:52 - mmengine - INFO - Epoch(train) [348][40/63] lr: 1.0000e-05 eta: 9:33:06 time: 0.8633 data_time: 0.0312 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0155 loss: 0.0366 2022/08/26 11:52:57 - mmengine - INFO - Epoch(train) [348][45/63] lr: 1.0000e-05 eta: 9:33:06 time: 0.8492 data_time: 0.0259 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0150 loss: 0.0353 2022/08/26 11:53:01 - mmengine - INFO - Epoch(train) [348][50/63] lr: 1.0000e-05 eta: 9:32:35 time: 0.8492 data_time: 0.0319 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0188 loss: 0.0476 2022/08/26 11:53:05 - mmengine - INFO - Epoch(train) [348][55/63] lr: 1.0000e-05 eta: 9:32:35 time: 0.8453 data_time: 0.0264 memory: 25127 loss_text: 0.0373 loss_kernel: 0.0227 loss: 0.0600 2022/08/26 11:53:09 - mmengine - INFO - Epoch(train) [348][60/63] lr: 1.0000e-05 eta: 9:32:04 time: 0.8418 data_time: 0.0202 memory: 25127 loss_text: 0.0287 loss_kernel: 0.0182 loss: 0.0469 2022/08/26 11:53:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:54:39 - mmengine - INFO - Epoch(train) [349][5/63] lr: 1.0000e-05 eta: 9:32:04 time: 9.1224 data_time: 8.3120 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0154 loss: 0.0362 2022/08/26 11:54:43 - mmengine - INFO - Epoch(train) [349][10/63] lr: 1.0000e-05 eta: 9:32:22 time: 9.1947 data_time: 8.3316 memory: 25127 loss_text: 0.0190 loss_kernel: 0.0150 loss: 0.0340 2022/08/26 11:54:48 - mmengine - INFO - Epoch(train) [349][15/63] lr: 1.0000e-05 eta: 9:32:22 time: 0.9119 data_time: 0.0354 memory: 25127 loss_text: 0.0184 loss_kernel: 0.0139 loss: 0.0322 2022/08/26 11:54:52 - mmengine - INFO - Epoch(train) [349][20/63] lr: 1.0000e-05 eta: 9:31:51 time: 0.8988 data_time: 0.0226 memory: 25127 loss_text: 0.0231 loss_kernel: 0.0155 loss: 0.0386 2022/08/26 11:54:57 - mmengine - INFO - Epoch(train) [349][25/63] lr: 1.0000e-05 eta: 9:31:51 time: 0.8736 data_time: 0.0329 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0165 loss: 0.0413 2022/08/26 11:55:01 - mmengine - INFO - Epoch(train) [349][30/63] lr: 1.0000e-05 eta: 9:31:20 time: 0.8744 data_time: 0.0304 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0172 loss: 0.0424 2022/08/26 11:55:05 - mmengine - INFO - Epoch(train) [349][35/63] lr: 1.0000e-05 eta: 9:31:20 time: 0.8632 data_time: 0.0294 memory: 25127 loss_text: 0.0376 loss_kernel: 0.0224 loss: 0.0599 2022/08/26 11:55:10 - mmengine - INFO - Epoch(train) [349][40/63] lr: 1.0000e-05 eta: 9:30:49 time: 0.8706 data_time: 0.0275 memory: 25127 loss_text: 0.0383 loss_kernel: 0.0230 loss: 0.0613 2022/08/26 11:55:14 - mmengine - INFO - Epoch(train) [349][45/63] lr: 1.0000e-05 eta: 9:30:49 time: 0.8762 data_time: 0.0341 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0182 loss: 0.0443 2022/08/26 11:55:18 - mmengine - INFO - Epoch(train) [349][50/63] lr: 1.0000e-05 eta: 9:30:18 time: 0.8533 data_time: 0.0357 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0168 loss: 0.0413 2022/08/26 11:55:23 - mmengine - INFO - Epoch(train) [349][55/63] lr: 1.0000e-05 eta: 9:30:18 time: 0.8669 data_time: 0.0258 memory: 25127 loss_text: 0.0268 loss_kernel: 0.0175 loss: 0.0443 2022/08/26 11:55:27 - mmengine - INFO - Epoch(train) [349][60/63] lr: 1.0000e-05 eta: 9:29:47 time: 0.8657 data_time: 0.0220 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0173 loss: 0.0439 2022/08/26 11:55:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:56:57 - mmengine - INFO - Epoch(train) [350][5/63] lr: 1.0000e-05 eta: 9:29:47 time: 9.1249 data_time: 8.3279 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0169 loss: 0.0404 2022/08/26 11:57:01 - mmengine - INFO - Epoch(train) [350][10/63] lr: 1.0000e-05 eta: 9:30:05 time: 9.1662 data_time: 8.3398 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0152 loss: 0.0347 2022/08/26 11:57:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:57:05 - mmengine - INFO - Epoch(train) [350][15/63] lr: 1.0000e-05 eta: 9:30:05 time: 0.8360 data_time: 0.0290 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0158 loss: 0.0353 2022/08/26 11:57:10 - mmengine - INFO - Epoch(train) [350][20/63] lr: 1.0000e-05 eta: 9:29:34 time: 0.8983 data_time: 0.0237 memory: 25127 loss_text: 0.0257 loss_kernel: 0.0182 loss: 0.0439 2022/08/26 11:57:14 - mmengine - INFO - Epoch(train) [350][25/63] lr: 1.0000e-05 eta: 9:29:34 time: 0.9119 data_time: 0.0401 memory: 25127 loss_text: 0.0282 loss_kernel: 0.0190 loss: 0.0472 2022/08/26 11:57:18 - mmengine - INFO - Epoch(train) [350][30/63] lr: 1.0000e-05 eta: 9:29:03 time: 0.8494 data_time: 0.0284 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0171 loss: 0.0399 2022/08/26 11:57:23 - mmengine - INFO - Epoch(train) [350][35/63] lr: 1.0000e-05 eta: 9:29:03 time: 0.8676 data_time: 0.0304 memory: 25127 loss_text: 0.0194 loss_kernel: 0.0149 loss: 0.0343 2022/08/26 11:57:27 - mmengine - INFO - Epoch(train) [350][40/63] lr: 1.0000e-05 eta: 9:28:32 time: 0.8877 data_time: 0.0415 memory: 25127 loss_text: 0.0196 loss_kernel: 0.0157 loss: 0.0353 2022/08/26 11:57:32 - mmengine - INFO - Epoch(train) [350][45/63] lr: 1.0000e-05 eta: 9:28:32 time: 0.8741 data_time: 0.0253 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0157 loss: 0.0365 2022/08/26 11:57:36 - mmengine - INFO - Epoch(train) [350][50/63] lr: 1.0000e-05 eta: 9:28:01 time: 0.8647 data_time: 0.0298 memory: 25127 loss_text: 0.0239 loss_kernel: 0.0162 loss: 0.0401 2022/08/26 11:57:40 - mmengine - INFO - Epoch(train) [350][55/63] lr: 1.0000e-05 eta: 9:28:01 time: 0.8704 data_time: 0.0286 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0174 loss: 0.0414 2022/08/26 11:57:45 - mmengine - INFO - Epoch(train) [350][60/63] lr: 1.0000e-05 eta: 9:27:30 time: 0.8985 data_time: 0.0201 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0167 loss: 0.0375 2022/08/26 11:57:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 11:59:14 - mmengine - INFO - Epoch(train) [351][5/63] lr: 1.0000e-05 eta: 9:27:30 time: 9.0997 data_time: 8.2642 memory: 25127 loss_text: 0.0296 loss_kernel: 0.0199 loss: 0.0495 2022/08/26 11:59:19 - mmengine - INFO - Epoch(train) [351][10/63] lr: 1.0000e-05 eta: 9:27:47 time: 9.1261 data_time: 8.2966 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0178 loss: 0.0433 2022/08/26 11:59:23 - mmengine - INFO - Epoch(train) [351][15/63] lr: 1.0000e-05 eta: 9:27:47 time: 0.8574 data_time: 0.0433 memory: 25127 loss_text: 0.0332 loss_kernel: 0.0211 loss: 0.0543 2022/08/26 11:59:27 - mmengine - INFO - Epoch(train) [351][20/63] lr: 1.0000e-05 eta: 9:27:16 time: 0.8398 data_time: 0.0322 memory: 25127 loss_text: 0.0290 loss_kernel: 0.0195 loss: 0.0485 2022/08/26 11:59:31 - mmengine - INFO - Epoch(train) [351][25/63] lr: 1.0000e-05 eta: 9:27:16 time: 0.8460 data_time: 0.0537 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0180 loss: 0.0427 2022/08/26 11:59:36 - mmengine - INFO - Epoch(train) [351][30/63] lr: 1.0000e-05 eta: 9:26:45 time: 0.8603 data_time: 0.0330 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0172 loss: 0.0401 2022/08/26 11:59:40 - mmengine - INFO - Epoch(train) [351][35/63] lr: 1.0000e-05 eta: 9:26:45 time: 0.8659 data_time: 0.0250 memory: 25127 loss_text: 0.0194 loss_kernel: 0.0149 loss: 0.0343 2022/08/26 11:59:44 - mmengine - INFO - Epoch(train) [351][40/63] lr: 1.0000e-05 eta: 9:26:14 time: 0.8343 data_time: 0.0319 memory: 25127 loss_text: 0.0217 loss_kernel: 0.0164 loss: 0.0381 2022/08/26 11:59:48 - mmengine - INFO - Epoch(train) [351][45/63] lr: 1.0000e-05 eta: 9:26:14 time: 0.8526 data_time: 0.0283 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0164 loss: 0.0371 2022/08/26 11:59:52 - mmengine - INFO - Epoch(train) [351][50/63] lr: 1.0000e-05 eta: 9:25:43 time: 0.8538 data_time: 0.0283 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0168 loss: 0.0402 2022/08/26 11:59:57 - mmengine - INFO - Epoch(train) [351][55/63] lr: 1.0000e-05 eta: 9:25:43 time: 0.8236 data_time: 0.0268 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0172 loss: 0.0414 2022/08/26 12:00:02 - mmengine - INFO - Epoch(train) [351][60/63] lr: 1.0000e-05 eta: 9:25:13 time: 0.9647 data_time: 0.0290 memory: 25127 loss_text: 0.0196 loss_kernel: 0.0155 loss: 0.0351 2022/08/26 12:00:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:01:35 - mmengine - INFO - Epoch(train) [352][5/63] lr: 1.0000e-05 eta: 9:25:13 time: 9.6133 data_time: 8.4634 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0180 loss: 0.0432 2022/08/26 12:01:40 - mmengine - INFO - Epoch(train) [352][10/63] lr: 1.0000e-05 eta: 9:25:30 time: 9.1975 data_time: 8.3638 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0160 loss: 0.0397 2022/08/26 12:01:44 - mmengine - INFO - Epoch(train) [352][15/63] lr: 1.0000e-05 eta: 9:25:30 time: 0.8537 data_time: 0.0306 memory: 25127 loss_text: 0.0189 loss_kernel: 0.0141 loss: 0.0329 2022/08/26 12:01:48 - mmengine - INFO - Epoch(train) [352][20/63] lr: 1.0000e-05 eta: 9:25:00 time: 0.8744 data_time: 0.0360 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0152 loss: 0.0349 2022/08/26 12:01:53 - mmengine - INFO - Epoch(train) [352][25/63] lr: 1.0000e-05 eta: 9:25:00 time: 0.8869 data_time: 0.0283 memory: 25127 loss_text: 0.0194 loss_kernel: 0.0150 loss: 0.0344 2022/08/26 12:01:57 - mmengine - INFO - Epoch(train) [352][30/63] lr: 1.0000e-05 eta: 9:24:29 time: 0.8838 data_time: 0.0267 memory: 25127 loss_text: 0.0186 loss_kernel: 0.0141 loss: 0.0327 2022/08/26 12:02:02 - mmengine - INFO - Epoch(train) [352][35/63] lr: 1.0000e-05 eta: 9:24:29 time: 0.8796 data_time: 0.0328 memory: 25127 loss_text: 0.0182 loss_kernel: 0.0137 loss: 0.0319 2022/08/26 12:02:06 - mmengine - INFO - Epoch(train) [352][40/63] lr: 1.0000e-05 eta: 9:23:58 time: 0.8864 data_time: 0.0254 memory: 25127 loss_text: 0.0189 loss_kernel: 0.0141 loss: 0.0329 2022/08/26 12:02:11 - mmengine - INFO - Epoch(train) [352][45/63] lr: 1.0000e-05 eta: 9:23:58 time: 0.8998 data_time: 0.0300 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0144 loss: 0.0345 2022/08/26 12:02:15 - mmengine - INFO - Epoch(train) [352][50/63] lr: 1.0000e-05 eta: 9:23:28 time: 0.8828 data_time: 0.0270 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0147 loss: 0.0350 2022/08/26 12:02:19 - mmengine - INFO - Epoch(train) [352][55/63] lr: 1.0000e-05 eta: 9:23:28 time: 0.8717 data_time: 0.0263 memory: 25127 loss_text: 0.0199 loss_kernel: 0.0152 loss: 0.0351 2022/08/26 12:02:24 - mmengine - INFO - Epoch(train) [352][60/63] lr: 1.0000e-05 eta: 9:22:57 time: 0.8642 data_time: 0.0298 memory: 25127 loss_text: 0.0212 loss_kernel: 0.0158 loss: 0.0370 2022/08/26 12:02:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:03:54 - mmengine - INFO - Epoch(train) [353][5/63] lr: 1.0000e-05 eta: 9:22:57 time: 9.1835 data_time: 8.3732 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0145 loss: 0.0340 2022/08/26 12:03:59 - mmengine - INFO - Epoch(train) [353][10/63] lr: 1.0000e-05 eta: 9:23:14 time: 9.2654 data_time: 8.4327 memory: 25127 loss_text: 0.0181 loss_kernel: 0.0139 loss: 0.0320 2022/08/26 12:04:03 - mmengine - INFO - Epoch(train) [353][15/63] lr: 1.0000e-05 eta: 9:23:14 time: 0.9269 data_time: 0.0814 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0153 loss: 0.0360 2022/08/26 12:04:08 - mmengine - INFO - Epoch(train) [353][20/63] lr: 1.0000e-05 eta: 9:22:44 time: 0.8793 data_time: 0.0209 memory: 25127 loss_text: 0.0211 loss_kernel: 0.0151 loss: 0.0362 2022/08/26 12:04:12 - mmengine - INFO - Epoch(train) [353][25/63] lr: 1.0000e-05 eta: 9:22:44 time: 0.8783 data_time: 0.0272 memory: 25127 loss_text: 0.0192 loss_kernel: 0.0144 loss: 0.0336 2022/08/26 12:04:16 - mmengine - INFO - Epoch(train) [353][30/63] lr: 1.0000e-05 eta: 9:22:13 time: 0.8800 data_time: 0.0321 memory: 25127 loss_text: 0.0194 loss_kernel: 0.0150 loss: 0.0345 2022/08/26 12:04:21 - mmengine - INFO - Epoch(train) [353][35/63] lr: 1.0000e-05 eta: 9:22:13 time: 0.8780 data_time: 0.0311 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0145 loss: 0.0343 2022/08/26 12:04:25 - mmengine - INFO - Epoch(train) [353][40/63] lr: 1.0000e-05 eta: 9:21:42 time: 0.8719 data_time: 0.0312 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0149 loss: 0.0359 2022/08/26 12:04:29 - mmengine - INFO - Epoch(train) [353][45/63] lr: 1.0000e-05 eta: 9:21:42 time: 0.8745 data_time: 0.0297 memory: 25127 loss_text: 0.0256 loss_kernel: 0.0177 loss: 0.0433 2022/08/26 12:04:34 - mmengine - INFO - Epoch(train) [353][50/63] lr: 1.0000e-05 eta: 9:21:12 time: 0.8812 data_time: 0.0316 memory: 25127 loss_text: 0.0253 loss_kernel: 0.0178 loss: 0.0431 2022/08/26 12:04:38 - mmengine - INFO - Epoch(train) [353][55/63] lr: 1.0000e-05 eta: 9:21:12 time: 0.8736 data_time: 0.0303 memory: 25127 loss_text: 0.0196 loss_kernel: 0.0144 loss: 0.0340 2022/08/26 12:04:42 - mmengine - INFO - Epoch(train) [353][60/63] lr: 1.0000e-05 eta: 9:20:41 time: 0.8563 data_time: 0.0230 memory: 25127 loss_text: 0.0216 loss_kernel: 0.0149 loss: 0.0365 2022/08/26 12:04:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:06:12 - mmengine - INFO - Epoch(train) [354][5/63] lr: 1.0000e-05 eta: 9:20:41 time: 9.1544 data_time: 8.3248 memory: 25127 loss_text: 0.0294 loss_kernel: 0.0201 loss: 0.0495 2022/08/26 12:06:17 - mmengine - INFO - Epoch(train) [354][10/63] lr: 1.0000e-05 eta: 9:20:57 time: 9.1733 data_time: 8.3299 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0183 loss: 0.0431 2022/08/26 12:06:21 - mmengine - INFO - Epoch(train) [354][15/63] lr: 1.0000e-05 eta: 9:20:57 time: 0.8549 data_time: 0.0239 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0177 loss: 0.0425 2022/08/26 12:06:25 - mmengine - INFO - Epoch(train) [354][20/63] lr: 1.0000e-05 eta: 9:20:26 time: 0.8634 data_time: 0.0334 memory: 25127 loss_text: 0.0310 loss_kernel: 0.0193 loss: 0.0502 2022/08/26 12:06:30 - mmengine - INFO - Epoch(train) [354][25/63] lr: 1.0000e-05 eta: 9:20:26 time: 0.8844 data_time: 0.0379 memory: 25127 loss_text: 0.0285 loss_kernel: 0.0180 loss: 0.0465 2022/08/26 12:06:34 - mmengine - INFO - Epoch(train) [354][30/63] lr: 1.0000e-05 eta: 9:19:56 time: 0.8843 data_time: 0.0320 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0158 loss: 0.0366 2022/08/26 12:06:38 - mmengine - INFO - Epoch(train) [354][35/63] lr: 1.0000e-05 eta: 9:19:56 time: 0.8608 data_time: 0.0253 memory: 25127 loss_text: 0.0195 loss_kernel: 0.0152 loss: 0.0347 2022/08/26 12:06:43 - mmengine - INFO - Epoch(train) [354][40/63] lr: 1.0000e-05 eta: 9:19:25 time: 0.8650 data_time: 0.0266 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0172 loss: 0.0425 2022/08/26 12:06:47 - mmengine - INFO - Epoch(train) [354][45/63] lr: 1.0000e-05 eta: 9:19:25 time: 0.8915 data_time: 0.0355 memory: 25127 loss_text: 0.0251 loss_kernel: 0.0177 loss: 0.0427 2022/08/26 12:06:52 - mmengine - INFO - Epoch(train) [354][50/63] lr: 1.0000e-05 eta: 9:18:55 time: 0.8731 data_time: 0.0287 memory: 25127 loss_text: 0.0234 loss_kernel: 0.0168 loss: 0.0402 2022/08/26 12:06:56 - mmengine - INFO - Epoch(train) [354][55/63] lr: 1.0000e-05 eta: 9:18:55 time: 0.8477 data_time: 0.0254 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0169 loss: 0.0404 2022/08/26 12:07:01 - mmengine - INFO - Epoch(train) [354][60/63] lr: 1.0000e-05 eta: 9:18:24 time: 0.9028 data_time: 0.0274 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0160 loss: 0.0362 2022/08/26 12:07:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:08:33 - mmengine - INFO - Epoch(train) [355][5/63] lr: 1.0000e-05 eta: 9:18:24 time: 9.3535 data_time: 8.5495 memory: 25127 loss_text: 0.0252 loss_kernel: 0.0190 loss: 0.0443 2022/08/26 12:08:37 - mmengine - INFO - Epoch(train) [355][10/63] lr: 1.0000e-05 eta: 9:18:42 time: 9.4304 data_time: 8.5736 memory: 25127 loss_text: 0.0255 loss_kernel: 0.0185 loss: 0.0440 2022/08/26 12:08:41 - mmengine - INFO - Epoch(train) [355][15/63] lr: 1.0000e-05 eta: 9:18:42 time: 0.8970 data_time: 0.0372 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0171 loss: 0.0421 2022/08/26 12:08:46 - mmengine - INFO - Epoch(train) [355][20/63] lr: 1.0000e-05 eta: 9:18:12 time: 0.8749 data_time: 0.0192 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0175 loss: 0.0422 2022/08/26 12:08:50 - mmengine - INFO - Epoch(train) [355][25/63] lr: 1.0000e-05 eta: 9:18:12 time: 0.8863 data_time: 0.0383 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0153 loss: 0.0351 2022/08/26 12:08:55 - mmengine - INFO - Epoch(train) [355][30/63] lr: 1.0000e-05 eta: 9:17:41 time: 0.8981 data_time: 0.0338 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0144 loss: 0.0352 2022/08/26 12:08:59 - mmengine - INFO - Epoch(train) [355][35/63] lr: 1.0000e-05 eta: 9:17:41 time: 0.8928 data_time: 0.0278 memory: 25127 loss_text: 0.0265 loss_kernel: 0.0174 loss: 0.0439 2022/08/26 12:09:04 - mmengine - INFO - Epoch(train) [355][40/63] lr: 1.0000e-05 eta: 9:17:11 time: 0.8838 data_time: 0.0285 memory: 25127 loss_text: 0.0245 loss_kernel: 0.0180 loss: 0.0425 2022/08/26 12:09:08 - mmengine - INFO - Epoch(train) [355][45/63] lr: 1.0000e-05 eta: 9:17:11 time: 0.8667 data_time: 0.0255 memory: 25127 loss_text: 0.0184 loss_kernel: 0.0147 loss: 0.0331 2022/08/26 12:09:12 - mmengine - INFO - Epoch(train) [355][50/63] lr: 1.0000e-05 eta: 9:16:40 time: 0.8685 data_time: 0.0334 memory: 25127 loss_text: 0.0269 loss_kernel: 0.0171 loss: 0.0440 2022/08/26 12:09:17 - mmengine - INFO - Epoch(train) [355][55/63] lr: 1.0000e-05 eta: 9:16:40 time: 0.8825 data_time: 0.0306 memory: 25127 loss_text: 0.0323 loss_kernel: 0.0197 loss: 0.0520 2022/08/26 12:09:21 - mmengine - INFO - Epoch(train) [355][60/63] lr: 1.0000e-05 eta: 9:16:10 time: 0.8764 data_time: 0.0214 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0165 loss: 0.0403 2022/08/26 12:09:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:10:53 - mmengine - INFO - Epoch(train) [356][5/63] lr: 1.0000e-05 eta: 9:16:10 time: 9.3537 data_time: 8.5488 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0148 loss: 0.0348 2022/08/26 12:10:58 - mmengine - INFO - Epoch(train) [356][10/63] lr: 1.0000e-05 eta: 9:16:27 time: 9.4225 data_time: 8.5619 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0154 loss: 0.0364 2022/08/26 12:11:02 - mmengine - INFO - Epoch(train) [356][15/63] lr: 1.0000e-05 eta: 9:16:27 time: 0.8925 data_time: 0.0348 memory: 25127 loss_text: 0.0243 loss_kernel: 0.0167 loss: 0.0410 2022/08/26 12:11:07 - mmengine - INFO - Epoch(train) [356][20/63] lr: 1.0000e-05 eta: 9:15:57 time: 0.9034 data_time: 0.0395 memory: 25127 loss_text: 0.0272 loss_kernel: 0.0176 loss: 0.0448 2022/08/26 12:11:11 - mmengine - INFO - Epoch(train) [356][25/63] lr: 1.0000e-05 eta: 9:15:57 time: 0.8973 data_time: 0.0362 memory: 25127 loss_text: 0.0261 loss_kernel: 0.0172 loss: 0.0433 2022/08/26 12:11:15 - mmengine - INFO - Epoch(train) [356][30/63] lr: 1.0000e-05 eta: 9:15:26 time: 0.8830 data_time: 0.0277 memory: 25127 loss_text: 0.0228 loss_kernel: 0.0163 loss: 0.0390 2022/08/26 12:11:20 - mmengine - INFO - Epoch(train) [356][35/63] lr: 1.0000e-05 eta: 9:15:26 time: 0.8839 data_time: 0.0450 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0155 loss: 0.0357 2022/08/26 12:11:24 - mmengine - INFO - Epoch(train) [356][40/63] lr: 1.0000e-05 eta: 9:14:56 time: 0.8841 data_time: 0.0385 memory: 25127 loss_text: 0.0196 loss_kernel: 0.0153 loss: 0.0348 2022/08/26 12:11:29 - mmengine - INFO - Epoch(train) [356][45/63] lr: 1.0000e-05 eta: 9:14:56 time: 0.8877 data_time: 0.0261 memory: 25127 loss_text: 0.0188 loss_kernel: 0.0152 loss: 0.0340 2022/08/26 12:11:33 - mmengine - INFO - Epoch(train) [356][50/63] lr: 1.0000e-05 eta: 9:14:25 time: 0.8907 data_time: 0.0269 memory: 25127 loss_text: 0.0189 loss_kernel: 0.0146 loss: 0.0335 2022/08/26 12:11:37 - mmengine - INFO - Epoch(train) [356][55/63] lr: 1.0000e-05 eta: 9:14:25 time: 0.8687 data_time: 0.0251 memory: 25127 loss_text: 0.0190 loss_kernel: 0.0143 loss: 0.0333 2022/08/26 12:11:42 - mmengine - INFO - Epoch(train) [356][60/63] lr: 1.0000e-05 eta: 9:13:55 time: 0.8631 data_time: 0.0278 memory: 25127 loss_text: 0.0190 loss_kernel: 0.0152 loss: 0.0342 2022/08/26 12:11:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:13:13 - mmengine - INFO - Epoch(train) [357][5/63] lr: 1.0000e-05 eta: 9:13:55 time: 9.3143 data_time: 8.5086 memory: 25127 loss_text: 0.0235 loss_kernel: 0.0174 loss: 0.0409 2022/08/26 12:13:18 - mmengine - INFO - Epoch(train) [357][10/63] lr: 1.0000e-05 eta: 9:14:12 time: 9.3445 data_time: 8.5212 memory: 25127 loss_text: 0.0193 loss_kernel: 0.0154 loss: 0.0347 2022/08/26 12:13:22 - mmengine - INFO - Epoch(train) [357][15/63] lr: 1.0000e-05 eta: 9:14:12 time: 0.8607 data_time: 0.0389 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0165 loss: 0.0366 2022/08/26 12:13:26 - mmengine - INFO - Epoch(train) [357][20/63] lr: 1.0000e-05 eta: 9:13:41 time: 0.8608 data_time: 0.0418 memory: 25127 loss_text: 0.0201 loss_kernel: 0.0162 loss: 0.0362 2022/08/26 12:13:31 - mmengine - INFO - Epoch(train) [357][25/63] lr: 1.0000e-05 eta: 9:13:41 time: 0.8851 data_time: 0.0425 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0145 loss: 0.0346 2022/08/26 12:13:35 - mmengine - INFO - Epoch(train) [357][30/63] lr: 1.0000e-05 eta: 9:13:11 time: 0.8693 data_time: 0.0281 memory: 25127 loss_text: 0.0240 loss_kernel: 0.0176 loss: 0.0415 2022/08/26 12:13:39 - mmengine - INFO - Epoch(train) [357][35/63] lr: 1.0000e-05 eta: 9:13:11 time: 0.8620 data_time: 0.0339 memory: 25127 loss_text: 0.0322 loss_kernel: 0.0223 loss: 0.0546 2022/08/26 12:13:43 - mmengine - INFO - Epoch(train) [357][40/63] lr: 1.0000e-05 eta: 9:12:40 time: 0.8536 data_time: 0.0297 memory: 25127 loss_text: 0.0281 loss_kernel: 0.0202 loss: 0.0483 2022/08/26 12:13:48 - mmengine - INFO - Epoch(train) [357][45/63] lr: 1.0000e-05 eta: 9:12:40 time: 0.8645 data_time: 0.0368 memory: 25127 loss_text: 0.0200 loss_kernel: 0.0157 loss: 0.0357 2022/08/26 12:13:52 - mmengine - INFO - Epoch(train) [357][50/63] lr: 1.0000e-05 eta: 9:12:10 time: 0.8846 data_time: 0.0424 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0151 loss: 0.0360 2022/08/26 12:13:57 - mmengine - INFO - Epoch(train) [357][55/63] lr: 1.0000e-05 eta: 9:12:10 time: 0.8705 data_time: 0.0500 memory: 25127 loss_text: 0.0208 loss_kernel: 0.0156 loss: 0.0364 2022/08/26 12:14:01 - mmengine - INFO - Epoch(train) [357][60/63] lr: 1.0000e-05 eta: 9:11:39 time: 0.8639 data_time: 0.0503 memory: 25127 loss_text: 0.0250 loss_kernel: 0.0173 loss: 0.0423 2022/08/26 12:14:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:15:32 - mmengine - INFO - Epoch(train) [358][5/63] lr: 1.0000e-05 eta: 9:11:39 time: 9.2071 data_time: 8.4000 memory: 25127 loss_text: 0.0209 loss_kernel: 0.0170 loss: 0.0379 2022/08/26 12:15:36 - mmengine - INFO - Epoch(train) [358][10/63] lr: 1.0000e-05 eta: 9:11:55 time: 9.2665 data_time: 8.4181 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0147 loss: 0.0345 2022/08/26 12:15:40 - mmengine - INFO - Epoch(train) [358][15/63] lr: 1.0000e-05 eta: 9:11:55 time: 0.8893 data_time: 0.0326 memory: 25127 loss_text: 0.0249 loss_kernel: 0.0163 loss: 0.0412 2022/08/26 12:15:45 - mmengine - INFO - Epoch(train) [358][20/63] lr: 1.0000e-05 eta: 9:11:25 time: 0.8776 data_time: 0.0296 memory: 25127 loss_text: 0.0248 loss_kernel: 0.0163 loss: 0.0411 2022/08/26 12:15:49 - mmengine - INFO - Epoch(train) [358][25/63] lr: 1.0000e-05 eta: 9:11:25 time: 0.8741 data_time: 0.0332 memory: 25127 loss_text: 0.0194 loss_kernel: 0.0142 loss: 0.0337 2022/08/26 12:15:53 - mmengine - INFO - Epoch(train) [358][30/63] lr: 1.0000e-05 eta: 9:10:54 time: 0.8665 data_time: 0.0240 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0150 loss: 0.0352 2022/08/26 12:15:58 - mmengine - INFO - Epoch(train) [358][35/63] lr: 1.0000e-05 eta: 9:10:54 time: 0.8492 data_time: 0.0338 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0170 loss: 0.0413 2022/08/26 12:16:02 - mmengine - INFO - Epoch(train) [358][40/63] lr: 1.0000e-05 eta: 9:10:24 time: 0.8855 data_time: 0.0259 memory: 25127 loss_text: 0.0224 loss_kernel: 0.0165 loss: 0.0389 2022/08/26 12:16:06 - mmengine - INFO - Epoch(train) [358][45/63] lr: 1.0000e-05 eta: 9:10:24 time: 0.8826 data_time: 0.0302 memory: 25127 loss_text: 0.0210 loss_kernel: 0.0163 loss: 0.0372 2022/08/26 12:16:11 - mmengine - INFO - Epoch(train) [358][50/63] lr: 1.0000e-05 eta: 9:09:54 time: 0.8839 data_time: 0.0388 memory: 25127 loss_text: 0.0219 loss_kernel: 0.0157 loss: 0.0376 2022/08/26 12:16:15 - mmengine - INFO - Epoch(train) [358][55/63] lr: 1.0000e-05 eta: 9:09:54 time: 0.8724 data_time: 0.0254 memory: 25127 loss_text: 0.0197 loss_kernel: 0.0151 loss: 0.0348 2022/08/26 12:16:20 - mmengine - INFO - Epoch(train) [358][60/63] lr: 1.0000e-05 eta: 9:09:23 time: 0.8442 data_time: 0.0213 memory: 25127 loss_text: 0.0198 loss_kernel: 0.0155 loss: 0.0353 2022/08/26 12:16:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:17:49 - mmengine - INFO - Epoch(train) [359][5/63] lr: 1.0000e-05 eta: 9:09:23 time: 9.1146 data_time: 8.2988 memory: 25127 loss_text: 0.0237 loss_kernel: 0.0160 loss: 0.0397 2022/08/26 12:17:53 - mmengine - INFO - Epoch(train) [359][10/63] lr: 1.0000e-05 eta: 9:09:38 time: 9.1630 data_time: 8.3238 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0163 loss: 0.0395 2022/08/26 12:17:58 - mmengine - INFO - Epoch(train) [359][15/63] lr: 1.0000e-05 eta: 9:09:38 time: 0.8865 data_time: 0.0390 memory: 25127 loss_text: 0.0288 loss_kernel: 0.0194 loss: 0.0482 2022/08/26 12:18:02 - mmengine - INFO - Epoch(train) [359][20/63] lr: 1.0000e-05 eta: 9:09:08 time: 0.8833 data_time: 0.0260 memory: 25127 loss_text: 0.0286 loss_kernel: 0.0191 loss: 0.0477 2022/08/26 12:18:07 - mmengine - INFO - Epoch(train) [359][25/63] lr: 1.0000e-05 eta: 9:09:08 time: 0.8729 data_time: 0.0327 memory: 25127 loss_text: 0.0238 loss_kernel: 0.0181 loss: 0.0419 2022/08/26 12:18:11 - mmengine - INFO - Epoch(train) [359][30/63] lr: 1.0000e-05 eta: 9:08:37 time: 0.8791 data_time: 0.0261 memory: 25127 loss_text: 0.0230 loss_kernel: 0.0175 loss: 0.0406 2022/08/26 12:18:15 - mmengine - INFO - Epoch(train) [359][35/63] lr: 1.0000e-05 eta: 9:08:37 time: 0.8770 data_time: 0.0235 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0163 loss: 0.0395 2022/08/26 12:18:20 - mmengine - INFO - Epoch(train) [359][40/63] lr: 1.0000e-05 eta: 9:08:07 time: 0.8692 data_time: 0.0251 memory: 25127 loss_text: 0.0233 loss_kernel: 0.0164 loss: 0.0397 2022/08/26 12:18:24 - mmengine - INFO - Epoch(train) [359][45/63] lr: 1.0000e-05 eta: 9:08:07 time: 0.8744 data_time: 0.0345 memory: 25127 loss_text: 0.0186 loss_kernel: 0.0143 loss: 0.0329 2022/08/26 12:18:28 - mmengine - INFO - Epoch(train) [359][50/63] lr: 1.0000e-05 eta: 9:07:37 time: 0.8698 data_time: 0.0287 memory: 25127 loss_text: 0.0203 loss_kernel: 0.0154 loss: 0.0356 2022/08/26 12:18:33 - mmengine - INFO - Epoch(train) [359][55/63] lr: 1.0000e-05 eta: 9:07:37 time: 0.8756 data_time: 0.0266 memory: 25127 loss_text: 0.0207 loss_kernel: 0.0156 loss: 0.0363 2022/08/26 12:18:37 - mmengine - INFO - Epoch(train) [359][60/63] lr: 1.0000e-05 eta: 9:07:06 time: 0.8704 data_time: 0.0317 memory: 25127 loss_text: 0.0202 loss_kernel: 0.0156 loss: 0.0359 2022/08/26 12:18:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:20:07 - mmengine - INFO - Epoch(train) [360][5/63] lr: 1.0000e-05 eta: 9:07:06 time: 9.1379 data_time: 8.3263 memory: 25127 loss_text: 0.0193 loss_kernel: 0.0148 loss: 0.0340 2022/08/26 12:20:11 - mmengine - INFO - Epoch(train) [360][10/63] lr: 1.0000e-05 eta: 9:07:21 time: 9.1823 data_time: 8.3511 memory: 25127 loss_text: 0.0190 loss_kernel: 0.0149 loss: 0.0340 2022/08/26 12:20:16 - mmengine - INFO - Epoch(train) [360][15/63] lr: 1.0000e-05 eta: 9:07:21 time: 0.8900 data_time: 0.0508 memory: 25127 loss_text: 0.0188 loss_kernel: 0.0150 loss: 0.0338 2022/08/26 12:20:20 - mmengine - INFO - Epoch(train) [360][20/63] lr: 1.0000e-05 eta: 9:06:51 time: 0.9058 data_time: 0.0310 memory: 25127 loss_text: 0.0186 loss_kernel: 0.0145 loss: 0.0331 2022/08/26 12:20:25 - mmengine - INFO - Epoch(train) [360][25/63] lr: 1.0000e-05 eta: 9:06:51 time: 0.8750 data_time: 0.0293 memory: 25127 loss_text: 0.0185 loss_kernel: 0.0154 loss: 0.0339 2022/08/26 12:20:29 - mmengine - INFO - Epoch(train) [360][30/63] lr: 1.0000e-05 eta: 9:06:20 time: 0.8579 data_time: 0.0282 memory: 25127 loss_text: 0.0196 loss_kernel: 0.0159 loss: 0.0355 2022/08/26 12:20:33 - mmengine - INFO - Epoch(train) [360][35/63] lr: 1.0000e-05 eta: 9:06:20 time: 0.8644 data_time: 0.0258 memory: 25127 loss_text: 0.0247 loss_kernel: 0.0170 loss: 0.0417 2022/08/26 12:20:38 - mmengine - INFO - Epoch(train) [360][40/63] lr: 1.0000e-05 eta: 9:05:50 time: 0.8690 data_time: 0.0282 memory: 25127 loss_text: 0.0241 loss_kernel: 0.0165 loss: 0.0406 2022/08/26 12:20:42 - mmengine - INFO - Epoch(train) [360][45/63] lr: 1.0000e-05 eta: 9:05:50 time: 0.8711 data_time: 0.0301 memory: 25127 loss_text: 0.0185 loss_kernel: 0.0143 loss: 0.0328 2022/08/26 12:20:46 - mmengine - INFO - Epoch(train) [360][50/63] lr: 1.0000e-05 eta: 9:05:20 time: 0.8516 data_time: 0.0236 memory: 25127 loss_text: 0.0232 loss_kernel: 0.0158 loss: 0.0390 2022/08/26 12:20:51 - mmengine - INFO - Epoch(train) [360][55/63] lr: 1.0000e-05 eta: 9:05:20 time: 0.8713 data_time: 0.0287 memory: 25127 loss_text: 0.0242 loss_kernel: 0.0161 loss: 0.0403 2022/08/26 12:20:55 - mmengine - INFO - Epoch(train) [360][60/63] lr: 1.0000e-05 eta: 9:04:50 time: 0.8685 data_time: 0.0277 memory: 25127 loss_text: 0.0293 loss_kernel: 0.0187 loss: 0.0481 2022/08/26 12:20:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_ctw1500_20220825_221459 2022/08/26 12:20:57 - mmengine - INFO - Saving checkpoint at 360 epochs 2022/08/26 12:21:27 - mmengine - INFO - Epoch(val) [360][5/500] eta: 9:04:50 time: 2.4712 data_time: 2.4035 memory: 25127 2022/08/26 12:21:27 - mmengine - INFO - Epoch(val) [360][10/500] eta: 0:20:13 time: 2.4772 data_time: 2.3999 memory: 2076 2022/08/26 12:21:28 - mmengine - INFO - Epoch(val) [360][15/500] eta: 0:20:13 time: 0.0631 data_time: 0.0025 memory: 2001 2022/08/26 12:21:28 - mmengine - INFO - Epoch(val) [360][20/500] eta: 0:00:25 time: 0.0532 data_time: 0.0020 memory: 1700 2022/08/26 12:21:28 - mmengine - INFO - Epoch(val) [360][25/500] eta: 0:00:25 time: 0.0454 data_time: 0.0019 memory: 1700 2022/08/26 12:21:28 - mmengine - INFO - Epoch(val) [360][30/500] eta: 0:00:19 time: 0.0414 data_time: 0.0018 memory: 1700 2022/08/26 12:21:29 - mmengine - INFO - Epoch(val) [360][35/500] eta: 0:00:19 time: 0.0421 data_time: 0.0019 memory: 1700 2022/08/26 12:21:29 - mmengine - INFO - Epoch(val) [360][40/500] eta: 0:00:20 time: 0.0441 data_time: 0.0019 memory: 1737 2022/08/26 12:21:29 - mmengine - INFO - Epoch(val) [360][45/500] eta: 0:00:20 time: 0.0410 data_time: 0.0018 memory: 2076 2022/08/26 12:21:29 - mmengine - INFO - Epoch(val) [360][50/500] eta: 0:00:18 time: 0.0410 data_time: 0.0017 memory: 1813 2022/08/26 12:21:29 - mmengine - INFO - Epoch(val) [360][55/500] eta: 0:00:18 time: 0.0412 data_time: 0.0017 memory: 1775 2022/08/26 12:21:30 - mmengine - INFO - Epoch(val) [360][60/500] eta: 0:00:19 time: 0.0440 data_time: 0.0016 memory: 1700 2022/08/26 12:21:30 - mmengine - INFO - Epoch(val) [360][65/500] eta: 0:00:19 time: 0.0513 data_time: 0.0016 memory: 1813 2022/08/26 12:21:30 - mmengine - INFO - Epoch(val) [360][70/500] eta: 0:00:20 time: 0.0473 data_time: 0.0018 memory: 2076 2022/08/26 12:21:30 - mmengine - INFO - Epoch(val) [360][75/500] eta: 0:00:20 time: 0.0428 data_time: 0.0021 memory: 1813 2022/08/26 12:21:31 - mmengine - INFO - Epoch(val) [360][80/500] eta: 0:00:17 time: 0.0412 data_time: 0.0020 memory: 1700 2022/08/26 12:21:31 - mmengine - INFO - Epoch(val) [360][85/500] eta: 0:00:17 time: 0.0388 data_time: 0.0016 memory: 1700 2022/08/26 12:21:31 - mmengine - INFO - Epoch(val) [360][90/500] eta: 0:00:17 time: 0.0438 data_time: 0.0016 memory: 2076 2022/08/26 12:21:31 - mmengine - INFO - Epoch(val) [360][95/500] eta: 0:00:17 time: 0.0437 data_time: 0.0016 memory: 1737 2022/08/26 12:21:31 - mmengine - INFO - Epoch(val) [360][100/500] eta: 0:00:16 time: 0.0404 data_time: 0.0016 memory: 2076 2022/08/26 12:21:32 - mmengine - INFO - Epoch(val) [360][105/500] eta: 0:00:16 time: 0.0437 data_time: 0.0030 memory: 1700 2022/08/26 12:21:32 - mmengine - INFO - Epoch(val) [360][110/500] eta: 0:00:18 time: 0.0471 data_time: 0.0031 memory: 2076 2022/08/26 12:21:32 - mmengine - INFO - Epoch(val) [360][115/500] eta: 0:00:18 time: 0.0425 data_time: 0.0018 memory: 1700 2022/08/26 12:21:32 - mmengine - INFO - Epoch(val) [360][120/500] eta: 0:00:19 time: 0.0503 data_time: 0.0016 memory: 1700 2022/08/26 12:21:33 - mmengine - INFO - Epoch(val) [360][125/500] eta: 0:00:19 time: 0.0639 data_time: 0.0020 memory: 2076 2022/08/26 12:21:33 - mmengine - INFO - Epoch(val) [360][130/500] eta: 0:00:19 time: 0.0514 data_time: 0.0021 memory: 1700 2022/08/26 12:21:33 - mmengine - INFO - Epoch(val) [360][135/500] eta: 0:00:19 time: 0.0431 data_time: 0.0019 memory: 1850 2022/08/26 12:21:33 - mmengine - INFO - Epoch(val) [360][140/500] eta: 0:00:17 time: 0.0474 data_time: 0.0020 memory: 1700 2022/08/26 12:21:34 - mmengine - INFO - Epoch(val) [360][145/500] eta: 0:00:17 time: 0.0413 data_time: 0.0018 memory: 2039 2022/08/26 12:21:34 - mmengine - INFO - Epoch(val) [360][150/500] eta: 0:00:13 time: 0.0389 data_time: 0.0017 memory: 1700 2022/08/26 12:21:34 - mmengine - INFO - Epoch(val) [360][155/500] eta: 0:00:13 time: 0.0432 data_time: 0.0018 memory: 1963 2022/08/26 12:21:34 - mmengine - INFO - Epoch(val) [360][160/500] eta: 0:00:15 time: 0.0457 data_time: 0.0019 memory: 2076 2022/08/26 12:21:34 - mmengine - INFO - Epoch(val) [360][165/500] eta: 0:00:15 time: 0.0452 data_time: 0.0019 memory: 1775 2022/08/26 12:21:35 - mmengine - INFO - Epoch(val) [360][170/500] eta: 0:00:16 time: 0.0485 data_time: 0.0019 memory: 1963 2022/08/26 12:21:35 - mmengine - INFO - Epoch(val) [360][175/500] eta: 0:00:16 time: 0.0497 data_time: 0.0033 memory: 2076 2022/08/26 12:21:35 - mmengine - INFO - Epoch(val) [360][180/500] eta: 0:00:13 time: 0.0434 data_time: 0.0034 memory: 2076 2022/08/26 12:21:35 - mmengine - INFO - Epoch(val) [360][185/500] eta: 0:00