2022/08/25 22:27:11 - 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: 1825601685 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 22:27:13 - 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='pytorch'), 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='quad')), 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')) ] ic15_det_data_root = 'data/det/icdar2015' ic15_det_train = dict( type='OCRDataset', data_root='data/det/icdar2015', 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')) ]) ic15_det_test = dict( type='OCRDataset', data_root='data/det/icdar2015', 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=(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')) ]) 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)] 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/icdar2015', 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/icdar2015', 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=(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')) ])) 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/icdar2015', 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=(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')) ])) launcher = 'slurm' work_dir = './work_dirs/psenet_resnet50_fpnf_600e_icdar2015' 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 22:31:20 - mmengine - INFO - Epoch(train) [1][5/63] lr: 1.0000e-04 memory: 49996 data_time: 25.5777 loss_text: 0.4293 loss_kernel: 0.2878 loss: 0.7170 time: 32.5898 2022/08/25 22:31:24 - mmengine - INFO - Epoch(train) [1][10/63] lr: 1.0000e-04 eta: 7 days, 7:44:22 time: 16.7415 data_time: 12.8054 memory: 28969 loss_text: 0.4110 loss_kernel: 0.2861 loss: 0.6971 2022/08/25 22:31:51 - mmengine - INFO - Epoch(train) [1][15/63] lr: 1.0000e-04 eta: 7 days, 7:44:22 time: 3.1510 data_time: 0.0571 memory: 28969 loss_text: 0.3800 loss_kernel: 0.2841 loss: 0.6640 2022/08/25 22:31:57 - mmengine - INFO - Epoch(train) [1][20/63] lr: 1.0000e-04 eta: 4 days, 8:49:28 time: 3.2356 data_time: 0.1088 memory: 28969 loss_text: 0.3654 loss_kernel: 0.2738 loss: 0.6392 2022/08/25 22:32:01 - mmengine - INFO - Epoch(train) [1][25/63] lr: 1.0000e-04 eta: 4 days, 8:49:28 time: 0.9685 data_time: 0.0781 memory: 28969 loss_text: 0.3703 loss_kernel: 0.2461 loss: 0.6164 2022/08/25 22:32:12 - mmengine - INFO - Epoch(train) [1][30/63] lr: 1.0000e-04 eta: 3 days, 3:06:55 time: 1.5015 data_time: 0.0309 memory: 28969 loss_text: 0.3573 loss_kernel: 0.1942 loss: 0.5515 2022/08/25 22:32:18 - mmengine - INFO - Epoch(train) [1][35/63] lr: 1.0000e-04 eta: 3 days, 3:06:55 time: 1.6545 data_time: 0.0629 memory: 28969 loss_text: 0.3209 loss_kernel: 0.1489 loss: 0.4698 2022/08/25 22:32:23 - mmengine - INFO - Epoch(train) [1][40/63] lr: 1.0000e-04 eta: 2 days, 11:14:44 time: 1.1151 data_time: 0.0456 memory: 28969 loss_text: 0.3161 loss_kernel: 0.1395 loss: 0.4556 2022/08/25 22:32:32 - mmengine - INFO - Epoch(train) [1][45/63] lr: 1.0000e-04 eta: 2 days, 11:14:44 time: 1.4026 data_time: 0.0454 memory: 28969 loss_text: 0.3244 loss_kernel: 0.1395 loss: 0.4639 2022/08/25 22:32:38 - mmengine - INFO - Epoch(train) [1][50/63] lr: 1.0000e-04 eta: 2 days, 2:28:33 time: 1.4743 data_time: 0.1051 memory: 28969 loss_text: 0.3174 loss_kernel: 0.1321 loss: 0.4496 2022/08/25 22:32:58 - mmengine - INFO - Epoch(train) [1][55/63] lr: 1.0000e-04 eta: 2 days, 2:28:33 time: 2.6490 data_time: 0.1267 memory: 28969 loss_text: 0.3085 loss_kernel: 0.1285 loss: 0.4370 2022/08/25 22:33:03 - mmengine - INFO - Epoch(train) [1][60/63] lr: 1.0000e-04 eta: 1 day, 22:35:27 time: 2.5977 data_time: 0.1611 memory: 28969 loss_text: 0.3192 loss_kernel: 0.1359 loss: 0.4551 2022/08/25 22:33:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 22:35:01 - mmengine - INFO - Epoch(train) [2][5/63] lr: 1.0000e-04 eta: 1 day, 22:35:27 time: 11.7675 data_time: 9.0505 memory: 45820 loss_text: 0.3133 loss_kernel: 0.1315 loss: 0.4448 2022/08/25 22:35:06 - mmengine - INFO - Epoch(train) [2][10/63] lr: 1.0000e-04 eta: 2 days, 5:12:13 time: 10.3951 data_time: 9.1000 memory: 28970 loss_text: 0.2955 loss_kernel: 0.1222 loss: 0.4177 2022/08/25 22:35:33 - mmengine - INFO - Epoch(train) [2][15/63] lr: 1.0000e-04 eta: 2 days, 5:12:13 time: 3.2547 data_time: 0.0688 memory: 28970 loss_text: 0.2794 loss_kernel: 0.1150 loss: 0.3944 2022/08/25 22:35:38 - mmengine - INFO - Epoch(train) [2][20/63] lr: 1.0000e-04 eta: 2 days, 2:53:48 time: 3.2605 data_time: 0.0870 memory: 28970 loss_text: 0.2676 loss_kernel: 0.1095 loss: 0.3771 2022/08/25 22:35:47 - mmengine - INFO - Epoch(train) [2][25/63] lr: 1.0000e-04 eta: 2 days, 2:53:48 time: 1.3525 data_time: 0.1071 memory: 28970 loss_text: 0.2580 loss_kernel: 0.1058 loss: 0.3638 2022/08/25 22:35:51 - mmengine - INFO - Epoch(train) [2][30/63] lr: 1.0000e-04 eta: 1 day, 22:52:28 time: 1.2987 data_time: 0.0612 memory: 28970 loss_text: 0.2923 loss_kernel: 0.1195 loss: 0.4119 2022/08/25 22:35:59 - mmengine - INFO - Epoch(train) [2][35/63] lr: 1.0000e-04 eta: 1 day, 22:52:28 time: 1.2236 data_time: 0.0910 memory: 28970 loss_text: 0.3040 loss_kernel: 0.1224 loss: 0.4264 2022/08/25 22:36:07 - mmengine - INFO - Epoch(train) [2][40/63] lr: 1.0000e-04 eta: 1 day, 19:56:39 time: 1.6050 data_time: 0.0747 memory: 28970 loss_text: 0.2744 loss_kernel: 0.1109 loss: 0.3852 2022/08/25 22:36:12 - mmengine - INFO - Epoch(train) [2][45/63] lr: 1.0000e-04 eta: 1 day, 19:56:39 time: 1.3192 data_time: 0.0338 memory: 28970 loss_text: 0.2848 loss_kernel: 0.1147 loss: 0.3995 2022/08/25 22:36:19 - mmengine - INFO - Epoch(train) [2][50/63] lr: 1.0000e-04 eta: 1 day, 17:10:38 time: 1.2224 data_time: 0.0702 memory: 28970 loss_text: 0.3015 loss_kernel: 0.1181 loss: 0.4196 2022/08/25 22:36:39 - mmengine - INFO - Epoch(train) [2][55/63] lr: 1.0000e-04 eta: 1 day, 17:10:38 time: 2.6835 data_time: 0.1019 memory: 28970 loss_text: 0.2972 loss_kernel: 0.1153 loss: 0.4125 2022/08/25 22:36:44 - mmengine - INFO - Epoch(train) [2][60/63] lr: 1.0000e-04 eta: 1 day, 15:51:59 time: 2.4060 data_time: 0.0663 memory: 28970 loss_text: 0.2814 loss_kernel: 0.1156 loss: 0.3970 2022/08/25 22:36:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 22:38:32 - mmengine - INFO - Epoch(train) [3][5/63] lr: 1.0000e-04 eta: 1 day, 15:51:59 time: 10.9831 data_time: 9.5306 memory: 28970 loss_text: 0.2786 loss_kernel: 0.1187 loss: 0.3973 2022/08/25 22:38:37 - mmengine - INFO - Epoch(train) [3][10/63] lr: 1.0000e-04 eta: 1 day, 20:18:54 time: 10.7524 data_time: 9.5466 memory: 28970 loss_text: 0.2750 loss_kernel: 0.1147 loss: 0.3897 2022/08/25 22:38:58 - mmengine - INFO - Epoch(train) [3][15/63] lr: 1.0000e-04 eta: 1 day, 20:18:54 time: 2.6309 data_time: 0.1333 memory: 28970 loss_text: 0.2613 loss_kernel: 0.1020 loss: 0.3633 2022/08/25 22:39:03 - mmengine - INFO - Epoch(train) [3][20/63] lr: 1.0000e-04 eta: 1 day, 19:05:49 time: 2.5522 data_time: 0.1295 memory: 28970 loss_text: 0.2772 loss_kernel: 0.1125 loss: 0.3897 2022/08/25 22:39:11 - mmengine - INFO - Epoch(train) [3][25/63] lr: 1.0000e-04 eta: 1 day, 19:05:49 time: 1.2946 data_time: 0.0656 memory: 28970 loss_text: 0.2912 loss_kernel: 0.1197 loss: 0.4108 2022/08/25 22:39:19 - mmengine - INFO - Epoch(train) [3][30/63] lr: 1.0000e-04 eta: 1 day, 17:24:38 time: 1.6213 data_time: 0.1020 memory: 28970 loss_text: 0.2910 loss_kernel: 0.1149 loss: 0.4059 2022/08/25 22:39:34 - mmengine - INFO - Epoch(train) [3][35/63] lr: 1.0000e-04 eta: 1 day, 17:24:38 time: 2.2875 data_time: 0.0856 memory: 28970 loss_text: 0.2700 loss_kernel: 0.1058 loss: 0.3759 2022/08/25 22:39:41 - mmengine - INFO - Epoch(train) [3][40/63] lr: 1.0000e-04 eta: 1 day, 16:19:50 time: 2.2629 data_time: 0.0483 memory: 28970 loss_text: 0.2288 loss_kernel: 0.0901 loss: 0.3190 2022/08/25 22:39:47 - mmengine - INFO - Epoch(train) [3][45/63] lr: 1.0000e-04 eta: 1 day, 16:19:50 time: 1.2837 data_time: 0.0327 memory: 28970 loss_text: 0.2429 loss_kernel: 0.0944 loss: 0.3373 2022/08/25 22:39:53 - mmengine - INFO - Epoch(train) [3][50/63] lr: 1.0000e-04 eta: 1 day, 14:43:55 time: 1.1839 data_time: 0.0701 memory: 28970 loss_text: 0.2694 loss_kernel: 0.1071 loss: 0.3766 2022/08/25 22:40:14 - mmengine - INFO - Epoch(train) [3][55/63] lr: 1.0000e-04 eta: 1 day, 14:43:55 time: 2.6141 data_time: 0.0976 memory: 28970 loss_text: 0.2801 loss_kernel: 0.1152 loss: 0.3952 2022/08/25 22:40:25 - mmengine - INFO - Epoch(train) [3][60/63] lr: 1.0000e-04 eta: 1 day, 14:25:18 time: 3.1719 data_time: 0.3022 memory: 28970 loss_text: 0.2762 loss_kernel: 0.1093 loss: 0.3855 2022/08/25 22:40:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 22:42:08 - mmengine - INFO - Epoch(train) [4][5/63] lr: 1.0000e-04 eta: 1 day, 14:25:18 time: 10.3896 data_time: 9.2925 memory: 28970 loss_text: 0.2184 loss_kernel: 0.0867 loss: 0.3051 2022/08/25 22:42:13 - mmengine - INFO - Epoch(train) [4][10/63] lr: 1.0000e-04 eta: 1 day, 17:22:59 time: 10.4480 data_time: 9.2793 memory: 28970 loss_text: 0.2310 loss_kernel: 0.0964 loss: 0.3274 2022/08/25 22:42:32 - mmengine - INFO - Epoch(train) [4][15/63] lr: 1.0000e-04 eta: 1 day, 17:22:59 time: 2.4360 data_time: 0.1679 memory: 28970 loss_text: 0.2474 loss_kernel: 0.1014 loss: 0.3488 2022/08/25 22:42:37 - mmengine - INFO - Epoch(train) [4][20/63] lr: 1.0000e-04 eta: 1 day, 16:37:49 time: 2.4776 data_time: 0.1744 memory: 28970 loss_text: 0.2306 loss_kernel: 0.0928 loss: 0.3234 2022/08/25 22:42:48 - mmengine - INFO - Epoch(train) [4][25/63] lr: 1.0000e-04 eta: 1 day, 16:37:49 time: 1.6025 data_time: 0.0709 memory: 28970 loss_text: 0.2209 loss_kernel: 0.0909 loss: 0.3118 2022/08/25 22:43:07 - mmengine - INFO - Epoch(train) [4][30/63] lr: 1.0000e-04 eta: 1 day, 16:09:14 time: 2.9141 data_time: 0.2149 memory: 28970 loss_text: 0.2463 loss_kernel: 0.1019 loss: 0.3482 2022/08/25 22:43:13 - mmengine - INFO - Epoch(train) [4][35/63] lr: 1.0000e-04 eta: 1 day, 16:09:14 time: 2.5525 data_time: 0.2786 memory: 28970 loss_text: 0.2516 loss_kernel: 0.1010 loss: 0.3525 2022/08/25 22:43:18 - mmengine - INFO - Epoch(train) [4][40/63] lr: 1.0000e-04 eta: 1 day, 14:55:24 time: 1.1699 data_time: 0.1280 memory: 28970 loss_text: 0.2429 loss_kernel: 0.0951 loss: 0.3380 2022/08/25 22:43:31 - mmengine - INFO - Epoch(train) [4][45/63] lr: 1.0000e-04 eta: 1 day, 14:55:24 time: 1.7035 data_time: 0.0679 memory: 28970 loss_text: 0.2385 loss_kernel: 0.0999 loss: 0.3385 2022/08/25 22:43:36 - mmengine - INFO - Epoch(train) [4][50/63] lr: 1.0000e-04 eta: 1 day, 14:03:30 time: 1.7722 data_time: 0.0713 memory: 28970 loss_text: 0.2455 loss_kernel: 0.1037 loss: 0.3492 2022/08/25 22:43:46 - mmengine - INFO - Epoch(train) [4][55/63] lr: 1.0000e-04 eta: 1 day, 14:03:30 time: 1.5279 data_time: 0.1726 memory: 28970 loss_text: 0.2335 loss_kernel: 0.0944 loss: 0.3280 2022/08/25 22:44:01 - mmengine - INFO - Epoch(train) [4][60/63] lr: 1.0000e-04 eta: 1 day, 13:34:34 time: 2.5204 data_time: 0.2228 memory: 28970 loss_text: 0.2216 loss_kernel: 0.0908 loss: 0.3124 2022/08/25 22:44:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 22:45:54 - mmengine - INFO - Epoch(train) [5][5/63] lr: 1.0000e-04 eta: 1 day, 13:34:34 time: 11.4979 data_time: 9.6894 memory: 28970 loss_text: 0.2482 loss_kernel: 0.1037 loss: 0.3519 2022/08/25 22:45:59 - mmengine - INFO - Epoch(train) [5][10/63] lr: 1.0000e-04 eta: 1 day, 16:02:50 time: 10.9247 data_time: 9.6659 memory: 28970 loss_text: 0.2331 loss_kernel: 0.0969 loss: 0.3301 2022/08/25 22:46:17 - mmengine - INFO - Epoch(train) [5][15/63] lr: 1.0000e-04 eta: 1 day, 16:02:50 time: 2.2607 data_time: 0.0415 memory: 28970 loss_text: 0.2477 loss_kernel: 0.1073 loss: 0.3551 2022/08/25 22:46:22 - mmengine - INFO - Epoch(train) [5][20/63] lr: 1.0000e-04 eta: 1 day, 15:27:42 time: 2.3409 data_time: 0.1394 memory: 28970 loss_text: 0.2703 loss_kernel: 0.1153 loss: 0.3856 2022/08/25 22:46:28 - mmengine - INFO - Epoch(train) [5][25/63] lr: 1.0000e-04 eta: 1 day, 15:27:42 time: 1.1144 data_time: 0.1331 memory: 28970 loss_text: 0.2642 loss_kernel: 0.1128 loss: 0.3771 2022/08/25 22:46:49 - mmengine - INFO - Epoch(train) [5][30/63] lr: 1.0000e-04 eta: 1 day, 15:01:10 time: 2.6175 data_time: 0.0338 memory: 28970 loss_text: 0.2543 loss_kernel: 0.1086 loss: 0.3628 2022/08/25 22:47:02 - mmengine - INFO - Epoch(train) [5][35/63] lr: 1.0000e-04 eta: 1 day, 15:01:10 time: 3.4442 data_time: 0.0655 memory: 28970 loss_text: 0.2229 loss_kernel: 0.0952 loss: 0.3181 2022/08/25 22:47:07 - mmengine - INFO - Epoch(train) [5][40/63] lr: 1.0000e-04 eta: 1 day, 14:20:25 time: 1.8692 data_time: 0.0615 memory: 28970 loss_text: 0.2071 loss_kernel: 0.0855 loss: 0.2926 2022/08/25 22:47:12 - mmengine - INFO - Epoch(train) [5][45/63] lr: 1.0000e-04 eta: 1 day, 14:20:25 time: 0.9599 data_time: 0.0437 memory: 28970 loss_text: 0.2139 loss_kernel: 0.0869 loss: 0.3008 2022/08/25 22:47:27 - mmengine - INFO - Epoch(train) [5][50/63] lr: 1.0000e-04 eta: 1 day, 13:44:55 time: 1.9940 data_time: 0.1080 memory: 28970 loss_text: 0.2253 loss_kernel: 0.0942 loss: 0.3195 2022/08/25 22:47:37 - mmengine - INFO - Epoch(train) [5][55/63] lr: 1.0000e-04 eta: 1 day, 13:44:55 time: 2.5310 data_time: 0.2006 memory: 28970 loss_text: 0.2329 loss_kernel: 0.0984 loss: 0.3313 2022/08/25 22:47:44 - mmengine - INFO - Epoch(train) [5][60/63] lr: 1.0000e-04 eta: 1 day, 13:06:10 time: 1.7195 data_time: 0.1509 memory: 28970 loss_text: 0.2292 loss_kernel: 0.0919 loss: 0.3211 2022/08/25 22:47:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 22:49:31 - mmengine - INFO - Epoch(train) [6][5/63] lr: 1.0000e-04 eta: 1 day, 13:06:10 time: 10.8925 data_time: 9.6107 memory: 28970 loss_text: 0.2291 loss_kernel: 0.0948 loss: 0.3239 2022/08/25 22:49:36 - mmengine - INFO - Epoch(train) [6][10/63] lr: 1.0000e-04 eta: 1 day, 15:01:41 time: 10.6834 data_time: 9.5946 memory: 28970 loss_text: 0.2306 loss_kernel: 0.0984 loss: 0.3289 2022/08/25 22:49:48 - mmengine - INFO - Epoch(train) [6][15/63] lr: 1.0000e-04 eta: 1 day, 15:01:41 time: 1.6591 data_time: 0.0919 memory: 28970 loss_text: 0.1872 loss_kernel: 0.0808 loss: 0.2680 2022/08/25 22:49:52 - mmengine - INFO - Epoch(train) [6][20/63] lr: 1.0000e-04 eta: 1 day, 14:21:15 time: 1.6129 data_time: 0.0867 memory: 28970 loss_text: 0.1761 loss_kernel: 0.0755 loss: 0.2517 2022/08/25 22:50:12 - mmengine - INFO - Epoch(train) [6][25/63] lr: 1.0000e-04 eta: 1 day, 14:21:15 time: 2.4375 data_time: 0.0456 memory: 28970 loss_text: 0.1959 loss_kernel: 0.0845 loss: 0.2804 2022/08/25 22:50:26 - mmengine - INFO - Epoch(train) [6][30/63] lr: 1.0000e-04 eta: 1 day, 14:15:20 time: 3.3924 data_time: 0.0846 memory: 28970 loss_text: 0.2181 loss_kernel: 0.0930 loss: 0.3111 2022/08/25 22:50:31 - mmengine - INFO - Epoch(train) [6][35/63] lr: 1.0000e-04 eta: 1 day, 14:15:20 time: 1.8665 data_time: 0.0939 memory: 28970 loss_text: 0.2323 loss_kernel: 0.0967 loss: 0.3289 2022/08/25 22:50:35 - mmengine - INFO - Epoch(train) [6][40/63] lr: 1.0000e-04 eta: 1 day, 13:26:16 time: 0.9213 data_time: 0.0434 memory: 28970 loss_text: 0.2223 loss_kernel: 0.0924 loss: 0.3147 2022/08/25 22:50:55 - mmengine - INFO - Epoch(train) [6][45/63] lr: 1.0000e-04 eta: 1 day, 13:26:16 time: 2.4684 data_time: 0.1550 memory: 28970 loss_text: 0.2280 loss_kernel: 0.0935 loss: 0.3215 2022/08/25 22:51:00 - mmengine - INFO - Epoch(train) [6][50/63] lr: 1.0000e-04 eta: 1 day, 13:06:13 time: 2.4611 data_time: 0.1605 memory: 28970 loss_text: 0.2275 loss_kernel: 0.0932 loss: 0.3208 2022/08/25 22:51:10 - mmengine - INFO - Epoch(train) [6][55/63] lr: 1.0000e-04 eta: 1 day, 13:06:13 time: 1.5089 data_time: 0.0357 memory: 28970 loss_text: 0.2221 loss_kernel: 0.0962 loss: 0.3184 2022/08/25 22:51:17 - mmengine - INFO - Epoch(train) [6][60/63] lr: 1.0000e-04 eta: 1 day, 12:34:57 time: 1.7246 data_time: 0.0565 memory: 28970 loss_text: 0.2457 loss_kernel: 0.1053 loss: 0.3510 2022/08/25 22:51:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 22:52:56 - mmengine - INFO - Epoch(train) [7][5/63] lr: 1.0000e-04 eta: 1 day, 12:34:57 time: 10.0996 data_time: 8.9279 memory: 28970 loss_text: 0.2754 loss_kernel: 0.1135 loss: 0.3889 2022/08/25 22:53:01 - mmengine - INFO - Epoch(train) [7][10/63] lr: 1.0000e-04 eta: 1 day, 14:02:59 time: 10.1000 data_time: 8.9288 memory: 28970 loss_text: 0.2759 loss_kernel: 0.1167 loss: 0.3926 2022/08/25 22:53:20 - mmengine - INFO - Epoch(train) [7][15/63] lr: 1.0000e-04 eta: 1 day, 14:02:59 time: 2.3569 data_time: 0.1093 memory: 28970 loss_text: 0.2423 loss_kernel: 0.0988 loss: 0.3411 2022/08/25 22:53:25 - mmengine - INFO - Epoch(train) [7][20/63] lr: 1.0000e-04 eta: 1 day, 13:42:26 time: 2.3881 data_time: 0.0890 memory: 28970 loss_text: 0.2150 loss_kernel: 0.0899 loss: 0.3049 2022/08/25 22:53:31 - mmengine - INFO - Epoch(train) [7][25/63] lr: 1.0000e-04 eta: 1 day, 13:42:26 time: 1.1400 data_time: 0.0255 memory: 28970 loss_text: 0.2278 loss_kernel: 0.0992 loss: 0.3270 2022/08/25 22:53:38 - mmengine - INFO - Epoch(train) [7][30/63] lr: 1.0000e-04 eta: 1 day, 13:05:54 time: 1.2768 data_time: 0.0307 memory: 28970 loss_text: 0.2352 loss_kernel: 0.1002 loss: 0.3353 2022/08/25 22:53:44 - mmengine - INFO - Epoch(train) [7][35/63] lr: 1.0000e-04 eta: 1 day, 13:05:54 time: 1.2378 data_time: 0.0685 memory: 28970 loss_text: 0.2420 loss_kernel: 0.1009 loss: 0.3429 2022/08/25 22:53:51 - mmengine - INFO - Epoch(train) [7][40/63] lr: 1.0000e-04 eta: 1 day, 12:32:16 time: 1.3555 data_time: 0.0508 memory: 28970 loss_text: 0.2331 loss_kernel: 0.0949 loss: 0.3280 2022/08/25 22:53:59 - mmengine - INFO - Epoch(train) [7][45/63] lr: 1.0000e-04 eta: 1 day, 12:32:16 time: 1.5217 data_time: 0.0509 memory: 28970 loss_text: 0.1991 loss_kernel: 0.0814 loss: 0.2804 2022/08/25 22:54:05 - mmengine - INFO - Epoch(train) [7][50/63] lr: 1.0000e-04 eta: 1 day, 11:59:47 time: 1.3270 data_time: 0.0805 memory: 28970 loss_text: 0.2037 loss_kernel: 0.0843 loss: 0.2881 2022/08/25 22:54:14 - mmengine - INFO - Epoch(train) [7][55/63] lr: 1.0000e-04 eta: 1 day, 11:59:47 time: 1.5482 data_time: 0.0550 memory: 28970 loss_text: 0.2201 loss_kernel: 0.0933 loss: 0.3133 2022/08/25 22:54:20 - mmengine - INFO - Epoch(train) [7][60/63] lr: 1.0000e-04 eta: 1 day, 11:31:31 time: 1.5202 data_time: 0.0428 memory: 28970 loss_text: 0.2240 loss_kernel: 0.0916 loss: 0.3157 2022/08/25 22:54:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 22:56:02 - mmengine - INFO - Epoch(train) [8][5/63] lr: 1.0000e-04 eta: 1 day, 11:31:31 time: 10.3466 data_time: 9.1804 memory: 28970 loss_text: 0.2414 loss_kernel: 0.0982 loss: 0.3395 2022/08/25 22:56:07 - mmengine - INFO - Epoch(train) [8][10/63] lr: 1.0000e-04 eta: 1 day, 12:53:05 time: 10.4135 data_time: 9.2083 memory: 28970 loss_text: 0.2096 loss_kernel: 0.0840 loss: 0.2936 2022/08/25 22:56:21 - mmengine - INFO - Epoch(train) [8][15/63] lr: 1.0000e-04 eta: 1 day, 12:53:05 time: 1.9271 data_time: 0.0682 memory: 28970 loss_text: 0.2076 loss_kernel: 0.0836 loss: 0.2912 2022/08/25 22:56:28 - mmengine - INFO - Epoch(train) [8][20/63] lr: 1.0000e-04 eta: 1 day, 12:33:28 time: 2.1450 data_time: 0.1136 memory: 28970 loss_text: 0.1969 loss_kernel: 0.0788 loss: 0.2757 2022/08/25 22:56:40 - mmengine - INFO - Epoch(train) [8][25/63] lr: 1.0000e-04 eta: 1 day, 12:33:28 time: 1.9300 data_time: 0.1320 memory: 28970 loss_text: 0.2109 loss_kernel: 0.0866 loss: 0.2976 2022/08/25 22:56:46 - mmengine - INFO - Epoch(train) [8][30/63] lr: 1.0000e-04 eta: 1 day, 12:09:40 time: 1.7679 data_time: 0.0709 memory: 28970 loss_text: 0.2254 loss_kernel: 0.0971 loss: 0.3225 2022/08/25 22:56:55 - mmengine - INFO - Epoch(train) [8][35/63] lr: 1.0000e-04 eta: 1 day, 12:09:40 time: 1.5023 data_time: 0.0554 memory: 28970 loss_text: 0.2353 loss_kernel: 0.1010 loss: 0.3363 2022/08/25 22:57:00 - mmengine - INFO - Epoch(train) [8][40/63] lr: 1.0000e-04 eta: 1 day, 11:41:47 time: 1.3760 data_time: 0.0481 memory: 28970 loss_text: 0.2081 loss_kernel: 0.0881 loss: 0.2962 2022/08/25 22:57:05 - mmengine - INFO - Epoch(train) [8][45/63] lr: 1.0000e-04 eta: 1 day, 11:41:47 time: 0.9256 data_time: 0.0250 memory: 28970 loss_text: 0.2003 loss_kernel: 0.0845 loss: 0.2848 2022/08/25 22:57:12 - mmengine - INFO - Epoch(train) [8][50/63] lr: 1.0000e-04 eta: 1 day, 11:12:07 time: 1.1462 data_time: 0.0609 memory: 28970 loss_text: 0.2353 loss_kernel: 0.0983 loss: 0.3336 2022/08/25 22:57:16 - mmengine - INFO - Epoch(train) [8][55/63] lr: 1.0000e-04 eta: 1 day, 11:12:07 time: 1.1667 data_time: 0.1080 memory: 28970 loss_text: 0.2558 loss_kernel: 0.1071 loss: 0.3629 2022/08/25 22:57:21 - mmengine - INFO - Epoch(train) [8][60/63] lr: 1.0000e-04 eta: 1 day, 10:41:19 time: 0.9602 data_time: 0.0811 memory: 28970 loss_text: 0.2452 loss_kernel: 0.1052 loss: 0.3504 2022/08/25 22:57:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 22:59:02 - mmengine - INFO - Epoch(train) [9][5/63] lr: 1.0000e-04 eta: 1 day, 10:41:19 time: 10.2338 data_time: 9.1583 memory: 28970 loss_text: 0.2304 loss_kernel: 0.0976 loss: 0.3280 2022/08/25 22:59:08 - mmengine - INFO - Epoch(train) [9][10/63] lr: 1.0000e-04 eta: 1 day, 11:52:15 time: 10.2790 data_time: 9.1879 memory: 28970 loss_text: 0.2471 loss_kernel: 0.1054 loss: 0.3524 2022/08/25 22:59:20 - mmengine - INFO - Epoch(train) [9][15/63] lr: 1.0000e-04 eta: 1 day, 11:52:15 time: 1.8693 data_time: 0.1837 memory: 28970 loss_text: 0.2178 loss_kernel: 0.0913 loss: 0.3091 2022/08/25 22:59:25 - mmengine - INFO - Epoch(train) [9][20/63] lr: 1.0000e-04 eta: 1 day, 11:32:52 time: 1.8774 data_time: 0.1706 memory: 28970 loss_text: 0.2077 loss_kernel: 0.0838 loss: 0.2916 2022/08/25 22:59:41 - mmengine - INFO - Epoch(train) [9][25/63] lr: 1.0000e-04 eta: 1 day, 11:32:52 time: 1.9937 data_time: 0.3021 memory: 28970 loss_text: 0.2370 loss_kernel: 0.0988 loss: 0.3358 2022/08/25 22:59:46 - mmengine - INFO - Epoch(train) [9][30/63] lr: 1.0000e-04 eta: 1 day, 11:15:55 time: 2.0248 data_time: 0.3412 memory: 28970 loss_text: 0.2286 loss_kernel: 0.0988 loss: 0.3274 2022/08/25 22:59:52 - mmengine - INFO - Epoch(train) [9][35/63] lr: 1.0000e-04 eta: 1 day, 11:15:55 time: 1.1215 data_time: 0.1067 memory: 28970 loss_text: 0.1970 loss_kernel: 0.0852 loss: 0.2822 2022/08/25 22:59:58 - mmengine - INFO - Epoch(train) [9][40/63] lr: 1.0000e-04 eta: 1 day, 10:51:10 time: 1.2892 data_time: 0.0761 memory: 28970 loss_text: 0.2050 loss_kernel: 0.0875 loss: 0.2925 2022/08/25 23:00:04 - mmengine - INFO - Epoch(train) [9][45/63] lr: 1.0000e-04 eta: 1 day, 10:51:10 time: 1.2794 data_time: 0.0686 memory: 28970 loss_text: 0.2260 loss_kernel: 0.0944 loss: 0.3204 2022/08/25 23:00:09 - mmengine - INFO - Epoch(train) [9][50/63] lr: 1.0000e-04 eta: 1 day, 10:24:40 time: 1.0531 data_time: 0.0647 memory: 28970 loss_text: 0.2181 loss_kernel: 0.0923 loss: 0.3104 2022/08/25 23:00:24 - mmengine - INFO - Epoch(train) [9][55/63] lr: 1.0000e-04 eta: 1 day, 10:24:40 time: 1.9172 data_time: 0.0396 memory: 28970 loss_text: 0.1965 loss_kernel: 0.0855 loss: 0.2820 2022/08/25 23:00:28 - mmengine - INFO - Epoch(train) [9][60/63] lr: 1.0000e-04 eta: 1 day, 10:08:30 time: 1.9066 data_time: 0.0388 memory: 28970 loss_text: 0.1993 loss_kernel: 0.0847 loss: 0.2840 2022/08/25 23:00:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:01:59 - mmengine - INFO - Epoch(train) [10][5/63] lr: 1.0000e-04 eta: 1 day, 10:08:30 time: 9.2473 data_time: 8.3273 memory: 28970 loss_text: 0.2289 loss_kernel: 0.0953 loss: 0.3241 2022/08/25 23:02:03 - mmengine - INFO - Epoch(train) [10][10/63] lr: 1.0000e-04 eta: 1 day, 11:01:26 time: 9.2808 data_time: 8.3414 memory: 28970 loss_text: 0.1925 loss_kernel: 0.0785 loss: 0.2710 2022/08/25 23:02:11 - mmengine - INFO - Epoch(train) [10][15/63] lr: 1.0000e-04 eta: 1 day, 11:01:26 time: 1.1997 data_time: 0.0372 memory: 28970 loss_text: 0.1776 loss_kernel: 0.0737 loss: 0.2513 2022/08/25 23:02:16 - mmengine - INFO - Epoch(train) [10][20/63] lr: 1.0000e-04 eta: 1 day, 10:37:53 time: 1.2116 data_time: 0.0316 memory: 28970 loss_text: 0.2027 loss_kernel: 0.0856 loss: 0.2882 2022/08/25 23:02:21 - mmengine - INFO - Epoch(train) [10][25/63] lr: 1.0000e-04 eta: 1 day, 10:37:53 time: 1.0230 data_time: 0.0314 memory: 28970 loss_text: 0.2214 loss_kernel: 0.0916 loss: 0.3130 2022/08/25 23:02:26 - mmengine - INFO - Epoch(train) [10][30/63] lr: 1.0000e-04 eta: 1 day, 10:13:06 time: 1.0178 data_time: 0.0307 memory: 28970 loss_text: 0.2317 loss_kernel: 0.0935 loss: 0.3252 2022/08/25 23:02:32 - mmengine - INFO - Epoch(train) [10][35/63] lr: 1.0000e-04 eta: 1 day, 10:13:06 time: 1.0363 data_time: 0.0301 memory: 28970 loss_text: 0.2282 loss_kernel: 0.0980 loss: 0.3262 2022/08/25 23:02:37 - mmengine - INFO - Epoch(train) [10][40/63] lr: 1.0000e-04 eta: 1 day, 9:50:11 time: 1.1221 data_time: 0.0358 memory: 28970 loss_text: 0.2194 loss_kernel: 0.0955 loss: 0.3150 2022/08/25 23:02:41 - mmengine - INFO - Epoch(train) [10][45/63] lr: 1.0000e-04 eta: 1 day, 9:50:11 time: 0.9813 data_time: 0.0304 memory: 28970 loss_text: 0.2379 loss_kernel: 0.1005 loss: 0.3384 2022/08/25 23:02:46 - mmengine - INFO - Epoch(train) [10][50/63] lr: 1.0000e-04 eta: 1 day, 9:25:37 time: 0.8830 data_time: 0.0249 memory: 28970 loss_text: 0.2312 loss_kernel: 0.0978 loss: 0.3291 2022/08/25 23:02:52 - mmengine - INFO - Epoch(train) [10][55/63] lr: 1.0000e-04 eta: 1 day, 9:25:37 time: 1.0462 data_time: 0.0392 memory: 28970 loss_text: 0.1923 loss_kernel: 0.0829 loss: 0.2752 2022/08/25 23:03:00 - mmengine - INFO - Epoch(train) [10][60/63] lr: 1.0000e-04 eta: 1 day, 9:07:02 time: 1.4107 data_time: 0.0454 memory: 28970 loss_text: 0.2010 loss_kernel: 0.0863 loss: 0.2873 2022/08/25 23:03:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:04:31 - mmengine - INFO - Epoch(train) [11][5/63] lr: 1.0000e-04 eta: 1 day, 9:07:02 time: 9.2321 data_time: 8.2769 memory: 28970 loss_text: 0.1966 loss_kernel: 0.0837 loss: 0.2804 2022/08/25 23:04:36 - mmengine - INFO - Epoch(train) [11][10/63] lr: 1.0000e-04 eta: 1 day, 9:56:10 time: 9.3184 data_time: 8.2978 memory: 28970 loss_text: 0.2146 loss_kernel: 0.0895 loss: 0.3041 2022/08/25 23:04:40 - mmengine - INFO - Epoch(train) [11][15/63] lr: 1.0000e-04 eta: 1 day, 9:56:10 time: 0.9600 data_time: 0.0351 memory: 28970 loss_text: 0.2139 loss_kernel: 0.0877 loss: 0.3016 2022/08/25 23:04:46 - mmengine - INFO - Epoch(train) [11][20/63] lr: 1.0000e-04 eta: 1 day, 9:34:38 time: 1.0841 data_time: 0.0293 memory: 28970 loss_text: 0.1868 loss_kernel: 0.0801 loss: 0.2669 2022/08/25 23:04:51 - mmengine - INFO - Epoch(train) [11][25/63] lr: 1.0000e-04 eta: 1 day, 9:34:38 time: 1.0467 data_time: 0.0444 memory: 28970 loss_text: 0.2070 loss_kernel: 0.0913 loss: 0.2982 2022/08/25 23:04:55 - mmengine - INFO - Epoch(train) [11][30/63] lr: 1.0000e-04 eta: 1 day, 9:11:48 time: 0.8772 data_time: 0.0242 memory: 28970 loss_text: 0.2447 loss_kernel: 0.1058 loss: 0.3505 2022/08/25 23:05:00 - mmengine - INFO - Epoch(train) [11][35/63] lr: 1.0000e-04 eta: 1 day, 9:11:48 time: 0.9405 data_time: 0.0198 memory: 28970 loss_text: 0.2477 loss_kernel: 0.1058 loss: 0.3534 2022/08/25 23:05:06 - mmengine - INFO - Epoch(train) [11][40/63] lr: 1.0000e-04 eta: 1 day, 8:51:29 time: 1.0755 data_time: 0.0259 memory: 28970 loss_text: 0.2390 loss_kernel: 0.1009 loss: 0.3399 2022/08/25 23:05:10 - mmengine - INFO - Epoch(train) [11][45/63] lr: 1.0000e-04 eta: 1 day, 8:51:29 time: 1.0124 data_time: 0.0249 memory: 28970 loss_text: 0.2119 loss_kernel: 0.0897 loss: 0.3016 2022/08/25 23:05:15 - mmengine - INFO - Epoch(train) [11][50/63] lr: 1.0000e-04 eta: 1 day, 8:30:37 time: 0.9516 data_time: 0.0311 memory: 28970 loss_text: 0.1886 loss_kernel: 0.0804 loss: 0.2690 2022/08/25 23:05:21 - mmengine - INFO - Epoch(train) [11][55/63] lr: 1.0000e-04 eta: 1 day, 8:30:37 time: 1.0847 data_time: 0.0398 memory: 28970 loss_text: 0.2127 loss_kernel: 0.0887 loss: 0.3014 2022/08/25 23:05:27 - mmengine - INFO - Epoch(train) [11][60/63] lr: 1.0000e-04 eta: 1 day, 8:11:57 time: 1.1288 data_time: 0.0850 memory: 28970 loss_text: 0.2232 loss_kernel: 0.0938 loss: 0.3169 2022/08/25 23:05:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:07:01 - mmengine - INFO - Epoch(train) [12][5/63] lr: 1.0000e-04 eta: 1 day, 8:11:57 time: 9.5872 data_time: 8.5542 memory: 28970 loss_text: 0.2128 loss_kernel: 0.0901 loss: 0.3029 2022/08/25 23:07:06 - mmengine - INFO - Epoch(train) [12][10/63] lr: 1.0000e-04 eta: 1 day, 9:00:36 time: 9.6690 data_time: 8.5728 memory: 28970 loss_text: 0.1996 loss_kernel: 0.0837 loss: 0.2833 2022/08/25 23:07:18 - mmengine - INFO - Epoch(train) [12][15/63] lr: 1.0000e-04 eta: 1 day, 9:00:36 time: 1.6219 data_time: 0.0596 memory: 28970 loss_text: 0.1970 loss_kernel: 0.0850 loss: 0.2820 2022/08/25 23:07:34 - mmengine - INFO - Epoch(train) [12][20/63] lr: 1.0000e-04 eta: 1 day, 8:56:15 time: 2.7632 data_time: 0.1168 memory: 28970 loss_text: 0.2105 loss_kernel: 0.0916 loss: 0.3022 2022/08/25 23:07:40 - mmengine - INFO - Epoch(train) [12][25/63] lr: 1.0000e-04 eta: 1 day, 8:56:15 time: 2.2797 data_time: 0.1672 memory: 28970 loss_text: 0.2170 loss_kernel: 0.0924 loss: 0.3094 2022/08/25 23:07:45 - mmengine - INFO - Epoch(train) [12][30/63] lr: 1.0000e-04 eta: 1 day, 8:38:10 time: 1.1434 data_time: 0.0949 memory: 28970 loss_text: 0.2168 loss_kernel: 0.0917 loss: 0.3085 2022/08/25 23:07:50 - mmengine - INFO - Epoch(train) [12][35/63] lr: 1.0000e-04 eta: 1 day, 8:38:10 time: 1.0089 data_time: 0.0459 memory: 28970 loss_text: 0.1997 loss_kernel: 0.0844 loss: 0.2841 2022/08/25 23:08:07 - mmengine - INFO - Epoch(train) [12][40/63] lr: 1.0000e-04 eta: 1 day, 8:29:13 time: 2.1694 data_time: 0.1000 memory: 28970 loss_text: 0.1806 loss_kernel: 0.0741 loss: 0.2547 2022/08/25 23:08:13 - mmengine - INFO - Epoch(train) [12][45/63] lr: 1.0000e-04 eta: 1 day, 8:29:13 time: 2.2349 data_time: 0.1733 memory: 28970 loss_text: 0.1886 loss_kernel: 0.0779 loss: 0.2665 2022/08/25 23:08:19 - mmengine - INFO - Epoch(train) [12][50/63] lr: 1.0000e-04 eta: 1 day, 8:12:27 time: 1.2017 data_time: 0.1256 memory: 28970 loss_text: 0.2048 loss_kernel: 0.0834 loss: 0.2882 2022/08/25 23:08:35 - mmengine - INFO - Epoch(train) [12][55/63] lr: 1.0000e-04 eta: 1 day, 8:12:27 time: 2.1350 data_time: 0.0514 memory: 28970 loss_text: 0.2228 loss_kernel: 0.0934 loss: 0.3162 2022/08/25 23:08:48 - mmengine - INFO - Epoch(train) [12][60/63] lr: 1.0000e-04 eta: 1 day, 8:10:26 time: 2.9471 data_time: 0.2627 memory: 28970 loss_text: 0.2229 loss_kernel: 0.0962 loss: 0.3191 2022/08/25 23:08:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:10:28 - mmengine - INFO - Epoch(train) [13][5/63] lr: 1.0000e-04 eta: 1 day, 8:10:26 time: 10.0983 data_time: 8.9041 memory: 28970 loss_text: 0.2255 loss_kernel: 0.0914 loss: 0.3169 2022/08/25 23:10:32 - mmengine - INFO - Epoch(train) [13][10/63] lr: 1.0000e-04 eta: 1 day, 8:58:37 time: 10.1289 data_time: 8.9059 memory: 28970 loss_text: 0.2247 loss_kernel: 0.0923 loss: 0.3170 2022/08/25 23:10:40 - mmengine - INFO - Epoch(train) [13][15/63] lr: 1.0000e-04 eta: 1 day, 8:58:37 time: 1.1693 data_time: 0.0982 memory: 28970 loss_text: 0.2444 loss_kernel: 0.1068 loss: 0.3511 2022/08/25 23:10:48 - mmengine - INFO - Epoch(train) [13][20/63] lr: 1.0000e-04 eta: 1 day, 8:44:40 time: 1.5168 data_time: 0.1210 memory: 28970 loss_text: 0.2401 loss_kernel: 0.1019 loss: 0.3420 2022/08/25 23:10:57 - mmengine - INFO - Epoch(train) [13][25/63] lr: 1.0000e-04 eta: 1 day, 8:44:40 time: 1.7264 data_time: 0.0586 memory: 28970 loss_text: 0.2240 loss_kernel: 0.0923 loss: 0.3163 2022/08/25 23:11:08 - mmengine - INFO - Epoch(train) [13][30/63] lr: 1.0000e-04 eta: 1 day, 8:34:44 time: 1.9859 data_time: 0.1513 memory: 28970 loss_text: 0.2301 loss_kernel: 0.0940 loss: 0.3241 2022/08/25 23:11:15 - mmengine - INFO - Epoch(train) [13][35/63] lr: 1.0000e-04 eta: 1 day, 8:34:44 time: 1.8234 data_time: 0.1722 memory: 28970 loss_text: 0.2127 loss_kernel: 0.0889 loss: 0.3016 2022/08/25 23:11:27 - mmengine - INFO - Epoch(train) [13][40/63] lr: 1.0000e-04 eta: 1 day, 8:24:24 time: 1.9037 data_time: 0.0589 memory: 28970 loss_text: 0.1848 loss_kernel: 0.0810 loss: 0.2657 2022/08/25 23:11:31 - mmengine - INFO - Epoch(train) [13][45/63] lr: 1.0000e-04 eta: 1 day, 8:24:24 time: 1.6342 data_time: 0.0434 memory: 28970 loss_text: 0.1954 loss_kernel: 0.0828 loss: 0.2783 2022/08/25 23:11:36 - mmengine - INFO - Epoch(train) [13][50/63] lr: 1.0000e-04 eta: 1 day, 8:07:14 time: 0.9776 data_time: 0.0372 memory: 28970 loss_text: 0.2055 loss_kernel: 0.0837 loss: 0.2891 2022/08/25 23:11:55 - mmengine - INFO - Epoch(train) [13][55/63] lr: 1.0000e-04 eta: 1 day, 8:07:14 time: 2.3082 data_time: 0.1122 memory: 28970 loss_text: 0.1809 loss_kernel: 0.0768 loss: 0.2576 2022/08/25 23:12:06 - mmengine - INFO - Epoch(train) [13][60/63] lr: 1.0000e-04 eta: 1 day, 8:05:36 time: 2.9781 data_time: 0.1985 memory: 28970 loss_text: 0.2064 loss_kernel: 0.0906 loss: 0.2969 2022/08/25 23:12:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:13:42 - mmengine - INFO - Epoch(train) [14][5/63] lr: 1.0000e-04 eta: 1 day, 8:05:36 time: 9.7684 data_time: 8.6466 memory: 28970 loss_text: 0.2138 loss_kernel: 0.0874 loss: 0.3012 2022/08/25 23:13:46 - mmengine - INFO - Epoch(train) [14][10/63] lr: 1.0000e-04 eta: 1 day, 8:47:01 time: 9.7249 data_time: 8.6332 memory: 28970 loss_text: 0.1979 loss_kernel: 0.0782 loss: 0.2761 2022/08/25 23:13:57 - mmengine - INFO - Epoch(train) [14][15/63] lr: 1.0000e-04 eta: 1 day, 8:47:01 time: 1.5566 data_time: 0.0965 memory: 28970 loss_text: 0.2018 loss_kernel: 0.0844 loss: 0.2862 2022/08/25 23:14:06 - mmengine - INFO - Epoch(train) [14][20/63] lr: 1.0000e-04 eta: 1 day, 8:37:39 time: 1.9886 data_time: 0.1298 memory: 28970 loss_text: 0.2048 loss_kernel: 0.0817 loss: 0.2865 2022/08/25 23:14:20 - mmengine - INFO - Epoch(train) [14][25/63] lr: 1.0000e-04 eta: 1 day, 8:37:39 time: 2.2616 data_time: 0.1276 memory: 28970 loss_text: 0.2050 loss_kernel: 0.0819 loss: 0.2869 2022/08/25 23:14:25 - mmengine - INFO - Epoch(train) [14][30/63] lr: 1.0000e-04 eta: 1 day, 8:27:36 time: 1.8660 data_time: 0.1248 memory: 28970 loss_text: 0.2004 loss_kernel: 0.0847 loss: 0.2851 2022/08/25 23:14:34 - mmengine - INFO - Epoch(train) [14][35/63] lr: 1.0000e-04 eta: 1 day, 8:27:36 time: 1.4295 data_time: 0.0977 memory: 28970 loss_text: 0.2194 loss_kernel: 0.0924 loss: 0.3118 2022/08/25 23:14:39 - mmengine - INFO - Epoch(train) [14][40/63] lr: 1.0000e-04 eta: 1 day, 8:14:38 time: 1.4265 data_time: 0.0669 memory: 28970 loss_text: 0.2355 loss_kernel: 0.0996 loss: 0.3351 2022/08/25 23:14:47 - mmengine - INFO - Epoch(train) [14][45/63] lr: 1.0000e-04 eta: 1 day, 8:14:38 time: 1.3094 data_time: 0.0753 memory: 28970 loss_text: 0.2339 loss_kernel: 0.0977 loss: 0.3316 2022/08/25 23:15:07 - mmengine - INFO - Epoch(train) [14][50/63] lr: 1.0000e-04 eta: 1 day, 8:11:21 time: 2.7526 data_time: 0.2281 memory: 28970 loss_text: 0.2055 loss_kernel: 0.0875 loss: 0.2930 2022/08/25 23:15:11 - mmengine - INFO - Epoch(train) [14][55/63] lr: 1.0000e-04 eta: 1 day, 8:11:21 time: 2.4024 data_time: 0.1861 memory: 28970 loss_text: 0.2056 loss_kernel: 0.0896 loss: 0.2952 2022/08/25 23:15:16 - mmengine - INFO - Epoch(train) [14][60/63] lr: 1.0000e-04 eta: 1 day, 7:55:12 time: 0.9048 data_time: 0.0352 memory: 28970 loss_text: 0.2392 loss_kernel: 0.0969 loss: 0.3360 2022/08/25 23:15:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:17:07 - mmengine - INFO - Epoch(train) [15][5/63] lr: 1.0000e-04 eta: 1 day, 7:55:12 time: 11.2159 data_time: 8.9404 memory: 28970 loss_text: 0.2160 loss_kernel: 0.0888 loss: 0.3048 2022/08/25 23:17:12 - mmengine - INFO - Epoch(train) [15][10/63] lr: 1.0000e-04 eta: 1 day, 8:37:30 time: 10.2777 data_time: 8.9334 memory: 28970 loss_text: 0.2179 loss_kernel: 0.0967 loss: 0.3146 2022/08/25 23:17:18 - mmengine - INFO - Epoch(train) [15][15/63] lr: 1.0000e-04 eta: 1 day, 8:37:30 time: 1.1833 data_time: 0.0496 memory: 28970 loss_text: 0.2050 loss_kernel: 0.0867 loss: 0.2918 2022/08/25 23:17:28 - mmengine - INFO - Epoch(train) [15][20/63] lr: 1.0000e-04 eta: 1 day, 8:26:01 time: 1.5770 data_time: 0.0536 memory: 28970 loss_text: 0.2051 loss_kernel: 0.0852 loss: 0.2904 2022/08/25 23:17:45 - mmengine - INFO - Epoch(train) [15][25/63] lr: 1.0000e-04 eta: 1 day, 8:26:01 time: 2.6722 data_time: 0.0554 memory: 28970 loss_text: 0.2276 loss_kernel: 0.0935 loss: 0.3211 2022/08/25 23:17:50 - mmengine - INFO - Epoch(train) [15][30/63] lr: 1.0000e-04 eta: 1 day, 8:19:06 time: 2.2172 data_time: 0.0538 memory: 28970 loss_text: 0.2120 loss_kernel: 0.0857 loss: 0.2977 2022/08/25 23:17:56 - mmengine - INFO - Epoch(train) [15][35/63] lr: 1.0000e-04 eta: 1 day, 8:19:06 time: 1.0688 data_time: 0.0399 memory: 28970 loss_text: 0.1663 loss_kernel: 0.0687 loss: 0.2350 2022/08/25 23:18:04 - mmengine - INFO - Epoch(train) [15][40/63] lr: 1.0000e-04 eta: 1 day, 8:06:51 time: 1.3938 data_time: 0.1049 memory: 28970 loss_text: 0.1925 loss_kernel: 0.0815 loss: 0.2741 2022/08/25 23:18:15 - mmengine - INFO - Epoch(train) [15][45/63] lr: 1.0000e-04 eta: 1 day, 8:06:51 time: 1.8828 data_time: 0.2156 memory: 28970 loss_text: 0.2080 loss_kernel: 0.0911 loss: 0.2990 2022/08/25 23:18:20 - mmengine - INFO - Epoch(train) [15][50/63] lr: 1.0000e-04 eta: 1 day, 7:56:11 time: 1.5973 data_time: 0.1536 memory: 28970 loss_text: 0.1907 loss_kernel: 0.0827 loss: 0.2734 2022/08/25 23:18:32 - mmengine - INFO - Epoch(train) [15][55/63] lr: 1.0000e-04 eta: 1 day, 7:56:11 time: 1.7032 data_time: 0.0814 memory: 28970 loss_text: 0.2064 loss_kernel: 0.0879 loss: 0.2943 2022/08/25 23:18:49 - mmengine - INFO - Epoch(train) [15][60/63] lr: 1.0000e-04 eta: 1 day, 7:53:53 time: 2.8457 data_time: 0.1449 memory: 28970 loss_text: 0.2124 loss_kernel: 0.0922 loss: 0.3046 2022/08/25 23:18:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:20:53 - mmengine - INFO - Epoch(train) [16][5/63] lr: 1.0000e-04 eta: 1 day, 7:53:53 time: 13.0032 data_time: 9.5882 memory: 28970 loss_text: 0.2015 loss_kernel: 0.0862 loss: 0.2877 2022/08/25 23:20:58 - mmengine - INFO - Epoch(train) [16][10/63] lr: 1.0000e-04 eta: 1 day, 8:47:02 time: 12.4209 data_time: 9.4572 memory: 28970 loss_text: 0.1935 loss_kernel: 0.0862 loss: 0.2797 2022/08/25 23:21:03 - mmengine - INFO - Epoch(train) [16][15/63] lr: 1.0000e-04 eta: 1 day, 8:47:02 time: 0.9830 data_time: 0.0420 memory: 28970 loss_text: 0.1854 loss_kernel: 0.0836 loss: 0.2690 2022/08/25 23:21:18 - mmengine - INFO - Epoch(train) [16][20/63] lr: 1.0000e-04 eta: 1 day, 8:39:16 time: 2.0670 data_time: 0.1503 memory: 28970 loss_text: 0.1794 loss_kernel: 0.0797 loss: 0.2591 2022/08/25 23:21:23 - mmengine - INFO - Epoch(train) [16][25/63] lr: 1.0000e-04 eta: 1 day, 8:39:16 time: 1.9651 data_time: 0.1621 memory: 28970 loss_text: 0.1846 loss_kernel: 0.0793 loss: 0.2639 2022/08/25 23:21:29 - mmengine - INFO - Epoch(train) [16][30/63] lr: 1.0000e-04 eta: 1 day, 8:25:33 time: 1.0951 data_time: 0.0346 memory: 28970 loss_text: 0.2079 loss_kernel: 0.0861 loss: 0.2940 2022/08/25 23:21:34 - mmengine - INFO - Epoch(train) [16][35/63] lr: 1.0000e-04 eta: 1 day, 8:25:33 time: 1.1653 data_time: 0.0850 memory: 28970 loss_text: 0.2090 loss_kernel: 0.0877 loss: 0.2966 2022/08/25 23:21:52 - mmengine - INFO - Epoch(train) [16][40/63] lr: 1.0000e-04 eta: 1 day, 8:18:51 time: 2.1785 data_time: 0.1013 memory: 28970 loss_text: 0.2329 loss_kernel: 0.1007 loss: 0.3337 2022/08/25 23:22:00 - mmengine - INFO - Epoch(train) [16][45/63] lr: 1.0000e-04 eta: 1 day, 8:18:51 time: 2.5638 data_time: 0.2942 memory: 28970 loss_text: 0.2223 loss_kernel: 0.0957 loss: 0.3181 2022/08/25 23:22:05 - mmengine - INFO - Epoch(train) [16][50/63] lr: 1.0000e-04 eta: 1 day, 8:07:16 time: 1.3686 data_time: 0.3005 memory: 28970 loss_text: 0.1927 loss_kernel: 0.0825 loss: 0.2752 2022/08/25 23:22:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:22:27 - mmengine - INFO - Epoch(train) [16][55/63] lr: 1.0000e-04 eta: 1 day, 8:07:16 time: 2.6971 data_time: 0.1708 memory: 28970 loss_text: 0.2021 loss_kernel: 0.0884 loss: 0.2904 2022/08/25 23:22:50 - mmengine - INFO - Epoch(train) [16][60/63] lr: 1.0000e-04 eta: 1 day, 8:15:09 time: 4.5198 data_time: 0.2336 memory: 28970 loss_text: 0.2084 loss_kernel: 0.0900 loss: 0.2984 2022/08/25 23:22:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:24:57 - mmengine - INFO - Epoch(train) [17][5/63] lr: 1.0000e-04 eta: 1 day, 8:15:09 time: 14.5964 data_time: 10.2918 memory: 28970 loss_text: 0.2077 loss_kernel: 0.0893 loss: 0.2970 2022/08/25 23:25:19 - mmengine - INFO - Epoch(train) [17][10/63] lr: 1.0000e-04 eta: 1 day, 9:15:13 time: 14.1887 data_time: 10.1729 memory: 28970 loss_text: 0.2231 loss_kernel: 0.0968 loss: 0.3199 2022/08/25 23:25:25 - mmengine - INFO - Epoch(train) [17][15/63] lr: 1.0000e-04 eta: 1 day, 9:15:13 time: 2.8279 data_time: 0.1047 memory: 28970 loss_text: 0.2154 loss_kernel: 0.0923 loss: 0.3078 2022/08/25 23:25:46 - mmengine - INFO - Epoch(train) [17][20/63] lr: 1.0000e-04 eta: 1 day, 9:10:50 time: 2.6118 data_time: 0.0692 memory: 28970 loss_text: 0.2204 loss_kernel: 0.0947 loss: 0.3150 2022/08/25 23:26:15 - mmengine - INFO - Epoch(train) [17][25/63] lr: 1.0000e-04 eta: 1 day, 9:10:50 time: 4.9799 data_time: 0.3187 memory: 28970 loss_text: 0.2249 loss_kernel: 0.1000 loss: 0.3248 2022/08/25 23:26:19 - mmengine - INFO - Epoch(train) [17][30/63] lr: 1.0000e-04 eta: 1 day, 9:11:26 time: 3.4396 data_time: 0.3147 memory: 28970 loss_text: 0.2123 loss_kernel: 0.0912 loss: 0.3036 2022/08/25 23:26:47 - mmengine - INFO - Epoch(train) [17][35/63] lr: 1.0000e-04 eta: 1 day, 9:11:26 time: 3.2598 data_time: 0.0555 memory: 28970 loss_text: 0.1966 loss_kernel: 0.0830 loss: 0.2796 2022/08/25 23:26:52 - mmengine - INFO - Epoch(train) [17][40/63] lr: 1.0000e-04 eta: 1 day, 9:11:08 time: 3.2932 data_time: 0.0922 memory: 28970 loss_text: 0.1916 loss_kernel: 0.0835 loss: 0.2750 2022/08/25 23:27:22 - mmengine - INFO - Epoch(train) [17][45/63] lr: 1.0000e-04 eta: 1 day, 9:11:08 time: 3.4192 data_time: 0.1875 memory: 28970 loss_text: 0.1900 loss_kernel: 0.0826 loss: 0.2726 2022/08/25 23:27:27 - mmengine - INFO - Epoch(train) [17][50/63] lr: 1.0000e-04 eta: 1 day, 9:11:47 time: 3.4576 data_time: 0.1978 memory: 28970 loss_text: 0.2009 loss_kernel: 0.0876 loss: 0.2885 2022/08/25 23:27:50 - mmengine - INFO - Epoch(train) [17][55/63] lr: 1.0000e-04 eta: 1 day, 9:11:47 time: 2.8288 data_time: 0.1672 memory: 28970 loss_text: 0.1973 loss_kernel: 0.0871 loss: 0.2844 2022/08/25 23:28:09 - mmengine - INFO - Epoch(train) [17][60/63] lr: 1.0000e-04 eta: 1 day, 9:16:47 time: 4.2169 data_time: 0.1705 memory: 28970 loss_text: 0.1944 loss_kernel: 0.0843 loss: 0.2787 2022/08/25 23:28:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:30:17 - mmengine - INFO - Epoch(train) [18][5/63] lr: 1.0000e-04 eta: 1 day, 9:16:47 time: 14.3871 data_time: 9.7996 memory: 28970 loss_text: 0.1783 loss_kernel: 0.0770 loss: 0.2553 2022/08/25 23:30:41 - mmengine - INFO - Epoch(train) [18][10/63] lr: 1.0000e-04 eta: 1 day, 10:10:11 time: 13.8002 data_time: 9.8789 memory: 28970 loss_text: 0.1864 loss_kernel: 0.0811 loss: 0.2675 2022/08/25 23:30:45 - mmengine - INFO - Epoch(train) [18][15/63] lr: 1.0000e-04 eta: 1 day, 10:10:11 time: 2.8454 data_time: 0.3546 memory: 28970 loss_text: 0.1845 loss_kernel: 0.0824 loss: 0.2669 2022/08/25 23:31:00 - mmengine - INFO - Epoch(train) [18][20/63] lr: 1.0000e-04 eta: 1 day, 10:01:57 time: 1.9807 data_time: 0.3077 memory: 28970 loss_text: 0.1867 loss_kernel: 0.0818 loss: 0.2685 2022/08/25 23:31:05 - mmengine - INFO - Epoch(train) [18][25/63] lr: 1.0000e-04 eta: 1 day, 10:01:57 time: 1.9823 data_time: 0.2934 memory: 28970 loss_text: 0.1925 loss_kernel: 0.0833 loss: 0.2759 2022/08/25 23:31:30 - mmengine - INFO - Epoch(train) [18][30/63] lr: 1.0000e-04 eta: 1 day, 9:59:12 time: 2.9429 data_time: 0.1349 memory: 28970 loss_text: 0.2106 loss_kernel: 0.0898 loss: 0.3004 2022/08/25 23:31:56 - mmengine - INFO - Epoch(train) [18][35/63] lr: 1.0000e-04 eta: 1 day, 9:59:12 time: 4.9819 data_time: 0.1886 memory: 28970 loss_text: 0.1975 loss_kernel: 0.0812 loss: 0.2787 2022/08/25 23:32:22 - mmengine - INFO - Epoch(train) [18][40/63] lr: 1.0000e-04 eta: 1 day, 10:09:10 time: 5.2457 data_time: 0.3839 memory: 28970 loss_text: 0.1721 loss_kernel: 0.0733 loss: 0.2455 2022/08/25 23:32:53 - mmengine - INFO - Epoch(train) [18][45/63] lr: 1.0000e-04 eta: 1 day, 10:09:10 time: 5.7522 data_time: 0.5513 memory: 28970 loss_text: 0.1857 loss_kernel: 0.0818 loss: 0.2675 2022/08/25 23:32:58 - mmengine - INFO - Epoch(train) [18][50/63] lr: 1.0000e-04 eta: 1 day, 10:10:10 time: 3.6349 data_time: 0.4388 memory: 28970 loss_text: 0.1848 loss_kernel: 0.0804 loss: 0.2652 2022/08/25 23:33:26 - mmengine - INFO - Epoch(train) [18][55/63] lr: 1.0000e-04 eta: 1 day, 10:10:10 time: 3.3278 data_time: 0.2649 memory: 28970 loss_text: 0.1938 loss_kernel: 0.0813 loss: 0.2751 2022/08/25 23:33:48 - mmengine - INFO - Epoch(train) [18][60/63] lr: 1.0000e-04 eta: 1 day, 10:18:14 time: 4.9500 data_time: 0.2722 memory: 28970 loss_text: 0.2353 loss_kernel: 0.1002 loss: 0.3355 2022/08/25 23:33:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:35:48 - mmengine - INFO - Epoch(train) [19][5/63] lr: 1.0000e-04 eta: 1 day, 10:18:14 time: 13.7976 data_time: 10.0506 memory: 28970 loss_text: 0.2436 loss_kernel: 0.1057 loss: 0.3493 2022/08/25 23:36:10 - mmengine - INFO - Epoch(train) [19][10/63] lr: 1.0000e-04 eta: 1 day, 11:07:36 time: 13.7586 data_time: 10.1210 memory: 28970 loss_text: 0.2141 loss_kernel: 0.0910 loss: 0.3051 2022/08/25 23:36:16 - mmengine - INFO - Epoch(train) [19][15/63] lr: 1.0000e-04 eta: 1 day, 11:07:36 time: 2.8190 data_time: 0.2669 memory: 28970 loss_text: 0.1895 loss_kernel: 0.0801 loss: 0.2696 2022/08/25 23:36:29 - mmengine - INFO - Epoch(train) [19][20/63] lr: 1.0000e-04 eta: 1 day, 10:58:20 time: 1.8099 data_time: 0.0928 memory: 28970 loss_text: 0.1981 loss_kernel: 0.0833 loss: 0.2814 2022/08/25 23:36:37 - mmengine - INFO - Epoch(train) [19][25/63] lr: 1.0000e-04 eta: 1 day, 10:58:20 time: 2.1241 data_time: 0.2685 memory: 28970 loss_text: 0.1724 loss_kernel: 0.0748 loss: 0.2471 2022/08/25 23:36:42 - mmengine - INFO - Epoch(train) [19][30/63] lr: 1.0000e-04 eta: 1 day, 10:46:54 time: 1.3654 data_time: 0.2686 memory: 28970 loss_text: 0.1926 loss_kernel: 0.0865 loss: 0.2790 2022/08/25 23:36:57 - mmengine - INFO - Epoch(train) [19][35/63] lr: 1.0000e-04 eta: 1 day, 10:46:54 time: 1.9802 data_time: 0.0847 memory: 28970 loss_text: 0.2238 loss_kernel: 0.0969 loss: 0.3207 2022/08/25 23:37:02 - mmengine - INFO - Epoch(train) [19][40/63] lr: 1.0000e-04 eta: 1 day, 10:39:03 time: 2.0162 data_time: 0.1433 memory: 28970 loss_text: 0.2040 loss_kernel: 0.0875 loss: 0.2916 2022/08/25 23:37:26 - mmengine - INFO - Epoch(train) [19][45/63] lr: 1.0000e-04 eta: 1 day, 10:39:03 time: 2.8240 data_time: 0.1464 memory: 28970 loss_text: 0.1900 loss_kernel: 0.0833 loss: 0.2733 2022/08/25 23:37:37 - mmengine - INFO - Epoch(train) [19][50/63] lr: 1.0000e-04 eta: 1 day, 10:38:47 time: 3.4658 data_time: 0.1716 memory: 28970 loss_text: 0.2076 loss_kernel: 0.0880 loss: 0.2956 2022/08/25 23:37:58 - mmengine - INFO - Epoch(train) [19][55/63] lr: 1.0000e-04 eta: 1 day, 10:38:47 time: 3.2815 data_time: 0.1429 memory: 28970 loss_text: 0.1785 loss_kernel: 0.0775 loss: 0.2560 2022/08/25 23:38:23 - mmengine - INFO - Epoch(train) [19][60/63] lr: 1.0000e-04 eta: 1 day, 10:44:27 time: 4.6250 data_time: 0.1730 memory: 28970 loss_text: 0.1524 loss_kernel: 0.0690 loss: 0.2214 2022/08/25 23:38:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:40:42 - mmengine - INFO - Epoch(train) [20][5/63] lr: 1.0000e-04 eta: 1 day, 10:44:27 time: 15.9294 data_time: 10.5023 memory: 28970 loss_text: 0.1918 loss_kernel: 0.0811 loss: 0.2729 2022/08/25 23:41:05 - mmengine - INFO - Epoch(train) [20][10/63] lr: 1.0000e-04 eta: 1 day, 11:38:33 time: 15.2944 data_time: 10.4346 memory: 28970 loss_text: 0.2104 loss_kernel: 0.0922 loss: 0.3026 2022/08/25 23:41:10 - mmengine - INFO - Epoch(train) [20][15/63] lr: 1.0000e-04 eta: 1 day, 11:38:33 time: 2.8178 data_time: 0.2539 memory: 28970 loss_text: 0.1739 loss_kernel: 0.0764 loss: 0.2504 2022/08/25 23:41:34 - mmengine - INFO - Epoch(train) [20][20/63] lr: 1.0000e-04 eta: 1 day, 11:35:14 time: 2.9625 data_time: 0.2636 memory: 28970 loss_text: 0.1967 loss_kernel: 0.0863 loss: 0.2830 2022/08/25 23:41:39 - mmengine - INFO - Epoch(train) [20][25/63] lr: 1.0000e-04 eta: 1 day, 11:35:14 time: 2.9320 data_time: 0.1714 memory: 28970 loss_text: 0.2244 loss_kernel: 0.0991 loss: 0.3236 2022/08/25 23:42:03 - mmengine - INFO - Epoch(train) [20][30/63] lr: 1.0000e-04 eta: 1 day, 11:31:56 time: 2.9537 data_time: 0.2236 memory: 28970 loss_text: 0.2166 loss_kernel: 0.0953 loss: 0.3119 2022/08/25 23:42:30 - mmengine - INFO - Epoch(train) [20][35/63] lr: 1.0000e-04 eta: 1 day, 11:31:56 time: 5.0180 data_time: 0.3420 memory: 28970 loss_text: 0.2039 loss_kernel: 0.0885 loss: 0.2924 2022/08/25 23:42:38 - mmengine - INFO - Epoch(train) [20][40/63] lr: 1.0000e-04 eta: 1 day, 11:31:01 time: 3.4312 data_time: 0.2640 memory: 28970 loss_text: 0.2090 loss_kernel: 0.0899 loss: 0.2989 2022/08/25 23:43:01 - mmengine - INFO - Epoch(train) [20][45/63] lr: 1.0000e-04 eta: 1 day, 11:31:01 time: 3.1466 data_time: 0.2240 memory: 28970 loss_text: 0.2286 loss_kernel: 0.0963 loss: 0.3249 2022/08/25 23:43:21 - mmengine - INFO - Epoch(train) [20][50/63] lr: 1.0000e-04 eta: 1 day, 11:33:53 time: 4.2035 data_time: 0.2382 memory: 28970 loss_text: 0.2030 loss_kernel: 0.0840 loss: 0.2870 2022/08/25 23:43:33 - mmengine - INFO - Epoch(train) [20][55/63] lr: 1.0000e-04 eta: 1 day, 11:33:53 time: 3.1759 data_time: 0.4240 memory: 28970 loss_text: 0.1849 loss_kernel: 0.0782 loss: 0.2631 2022/08/25 23:43:57 - mmengine - INFO - Epoch(train) [20][60/63] lr: 1.0000e-04 eta: 1 day, 11:34:19 time: 3.7122 data_time: 0.5553 memory: 28970 loss_text: 0.1828 loss_kernel: 0.0772 loss: 0.2600 2022/08/25 23:44:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:44:03 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/25 23:46:08 - mmengine - INFO - Epoch(train) [21][5/63] lr: 1.0000e-04 eta: 1 day, 11:34:19 time: 12.3883 data_time: 9.8065 memory: 28970 loss_text: 0.2208 loss_kernel: 0.0954 loss: 0.3162 2022/08/25 23:46:22 - mmengine - INFO - Epoch(train) [21][10/63] lr: 1.0000e-04 eta: 1 day, 12:13:52 time: 12.9649 data_time: 9.8268 memory: 28970 loss_text: 0.2259 loss_kernel: 0.0968 loss: 0.3227 2022/08/25 23:46:32 - mmengine - INFO - Epoch(train) [21][15/63] lr: 1.0000e-04 eta: 1 day, 12:13:52 time: 2.4055 data_time: 0.2030 memory: 28970 loss_text: 0.2021 loss_kernel: 0.0866 loss: 0.2887 2022/08/25 23:46:37 - mmengine - INFO - Epoch(train) [21][20/63] lr: 1.0000e-04 eta: 1 day, 12:03:25 time: 1.4968 data_time: 0.2232 memory: 28970 loss_text: 0.2057 loss_kernel: 0.0849 loss: 0.2906 2022/08/25 23:46:57 - mmengine - INFO - Epoch(train) [21][25/63] lr: 1.0000e-04 eta: 1 day, 12:03:25 time: 2.5051 data_time: 0.1863 memory: 28970 loss_text: 0.2112 loss_kernel: 0.0875 loss: 0.2987 2022/08/25 23:47:16 - mmengine - INFO - Epoch(train) [21][30/63] lr: 1.0000e-04 eta: 1 day, 12:03:40 time: 3.7331 data_time: 0.1847 memory: 28970 loss_text: 0.2084 loss_kernel: 0.0900 loss: 0.2984 2022/08/25 23:47:25 - mmengine - INFO - Epoch(train) [21][35/63] lr: 1.0000e-04 eta: 1 day, 12:03:40 time: 2.7725 data_time: 0.2612 memory: 28970 loss_text: 0.1782 loss_kernel: 0.0758 loss: 0.2540 2022/08/25 23:47:41 - mmengine - INFO - Epoch(train) [21][40/63] lr: 1.0000e-04 eta: 1 day, 11:58:29 time: 2.5742 data_time: 0.1935 memory: 28970 loss_text: 0.1743 loss_kernel: 0.0749 loss: 0.2493 2022/08/25 23:47:47 - mmengine - INFO - Epoch(train) [21][45/63] lr: 1.0000e-04 eta: 1 day, 11:58:29 time: 2.1953 data_time: 0.1371 memory: 28970 loss_text: 0.1959 loss_kernel: 0.0870 loss: 0.2830 2022/08/25 23:48:18 - mmengine - INFO - Epoch(train) [21][50/63] lr: 1.0000e-04 eta: 1 day, 11:58:41 time: 3.7180 data_time: 0.2220 memory: 28970 loss_text: 0.2121 loss_kernel: 0.0891 loss: 0.3012 2022/08/25 23:48:23 - mmengine - INFO - Epoch(train) [21][55/63] lr: 1.0000e-04 eta: 1 day, 11:58:41 time: 3.6022 data_time: 0.1876 memory: 28970 loss_text: 0.2215 loss_kernel: 0.0907 loss: 0.3122 2022/08/25 23:48:49 - mmengine - INFO - Epoch(train) [21][60/63] lr: 1.0000e-04 eta: 1 day, 11:55:54 time: 3.0766 data_time: 0.2393 memory: 28970 loss_text: 0.2154 loss_kernel: 0.0942 loss: 0.3096 2022/08/25 23:48:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:50:58 - mmengine - INFO - Epoch(train) [22][5/63] lr: 1.0000e-04 eta: 1 day, 11:55:54 time: 12.9575 data_time: 10.1574 memory: 28970 loss_text: 0.2317 loss_kernel: 0.0998 loss: 0.3316 2022/08/25 23:51:15 - mmengine - INFO - Epoch(train) [22][10/63] lr: 1.0000e-04 eta: 1 day, 12:36:05 time: 13.5903 data_time: 10.1815 memory: 28970 loss_text: 0.2078 loss_kernel: 0.0912 loss: 0.2990 2022/08/25 23:51:20 - mmengine - INFO - Epoch(train) [22][15/63] lr: 1.0000e-04 eta: 1 day, 12:36:05 time: 2.2230 data_time: 0.2660 memory: 28970 loss_text: 0.1937 loss_kernel: 0.0854 loss: 0.2791 2022/08/25 23:51:35 - mmengine - INFO - Epoch(train) [22][20/63] lr: 1.0000e-04 eta: 1 day, 12:28:43 time: 2.1171 data_time: 0.1997 memory: 28970 loss_text: 0.1766 loss_kernel: 0.0778 loss: 0.2544 2022/08/25 23:51:41 - mmengine - INFO - Epoch(train) [22][25/63] lr: 1.0000e-04 eta: 1 day, 12:28:43 time: 2.0963 data_time: 0.1589 memory: 28970 loss_text: 0.1775 loss_kernel: 0.0775 loss: 0.2550 2022/08/25 23:52:03 - mmengine - INFO - Epoch(train) [22][30/63] lr: 1.0000e-04 eta: 1 day, 12:24:14 time: 2.7359 data_time: 0.3299 memory: 28970 loss_text: 0.1853 loss_kernel: 0.0797 loss: 0.2650 2022/08/25 23:52:08 - mmengine - INFO - Epoch(train) [22][35/63] lr: 1.0000e-04 eta: 1 day, 12:24:14 time: 2.7750 data_time: 0.2649 memory: 28970 loss_text: 0.1735 loss_kernel: 0.0761 loss: 0.2496 2022/08/25 23:52:30 - mmengine - INFO - Epoch(train) [22][40/63] lr: 1.0000e-04 eta: 1 day, 12:19:48 time: 2.7375 data_time: 0.0925 memory: 28970 loss_text: 0.1875 loss_kernel: 0.0817 loss: 0.2692 2022/08/25 23:52:56 - mmengine - INFO - Epoch(train) [22][45/63] lr: 1.0000e-04 eta: 1 day, 12:19:48 time: 4.7179 data_time: 0.1779 memory: 28970 loss_text: 0.2143 loss_kernel: 0.0921 loss: 0.3064 2022/08/25 23:53:03 - mmengine - INFO - Epoch(train) [22][50/63] lr: 1.0000e-04 eta: 1 day, 12:17:54 time: 3.2941 data_time: 0.3490 memory: 28970 loss_text: 0.2085 loss_kernel: 0.0900 loss: 0.2985 2022/08/25 23:53:32 - mmengine - INFO - Epoch(train) [22][55/63] lr: 1.0000e-04 eta: 1 day, 12:17:54 time: 3.6234 data_time: 0.2546 memory: 28970 loss_text: 0.1989 loss_kernel: 0.0852 loss: 0.2841 2022/08/25 23:53:37 - mmengine - INFO - Epoch(train) [22][60/63] lr: 1.0000e-04 eta: 1 day, 12:16:45 time: 3.4635 data_time: 0.1751 memory: 28970 loss_text: 0.2097 loss_kernel: 0.0879 loss: 0.2976 2022/08/25 23:53:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/25 23:55:47 - mmengine - INFO - Epoch(train) [23][5/63] lr: 1.0000e-04 eta: 1 day, 12:16:45 time: 13.0103 data_time: 9.4969 memory: 28970 loss_text: 0.2277 loss_kernel: 0.0988 loss: 0.3265 2022/08/25 23:56:04 - mmengine - INFO - Epoch(train) [23][10/63] lr: 1.0000e-04 eta: 1 day, 12:50:12 time: 12.5369 data_time: 9.5312 memory: 28970 loss_text: 0.1835 loss_kernel: 0.0823 loss: 0.2658 2022/08/25 23:56:13 - mmengine - INFO - Epoch(train) [23][15/63] lr: 1.0000e-04 eta: 1 day, 12:50:12 time: 2.5402 data_time: 0.4012 memory: 28970 loss_text: 0.1754 loss_kernel: 0.0798 loss: 0.2552 2022/08/25 23:56:18 - mmengine - INFO - Epoch(train) [23][20/63] lr: 1.0000e-04 eta: 1 day, 12:40:48 time: 1.6036 data_time: 0.3910 memory: 28970 loss_text: 0.2087 loss_kernel: 0.0905 loss: 0.2992 2022/08/25 23:56:40 - mmengine - INFO - Epoch(train) [23][25/63] lr: 1.0000e-04 eta: 1 day, 12:40:48 time: 2.7461 data_time: 0.1511 memory: 28970 loss_text: 0.2215 loss_kernel: 0.0964 loss: 0.3179 2022/08/25 23:57:00 - mmengine - INFO - Epoch(train) [23][30/63] lr: 1.0000e-04 eta: 1 day, 12:42:35 time: 4.1868 data_time: 0.2956 memory: 28970 loss_text: 0.2032 loss_kernel: 0.0884 loss: 0.2916 2022/08/25 23:57:19 - mmengine - INFO - Epoch(train) [23][35/63] lr: 1.0000e-04 eta: 1 day, 12:42:35 time: 3.8434 data_time: 0.2601 memory: 28970 loss_text: 0.1871 loss_kernel: 0.0792 loss: 0.2664 2022/08/25 23:57:40 - mmengine - INFO - Epoch(train) [23][40/63] lr: 1.0000e-04 eta: 1 day, 12:43:13 time: 3.9234 data_time: 0.2037 memory: 28970 loss_text: 0.1963 loss_kernel: 0.0831 loss: 0.2794 2022/08/25 23:57:45 - mmengine - INFO - Epoch(train) [23][45/63] lr: 1.0000e-04 eta: 1 day, 12:43:13 time: 2.6345 data_time: 0.1724 memory: 28970 loss_text: 0.1892 loss_kernel: 0.0816 loss: 0.2708 2022/08/25 23:58:05 - mmengine - INFO - Epoch(train) [23][50/63] lr: 1.0000e-04 eta: 1 day, 12:37:51 time: 2.5058 data_time: 0.1284 memory: 28970 loss_text: 0.2015 loss_kernel: 0.0886 loss: 0.2900 2022/08/25 23:58:23 - mmengine - INFO - Epoch(train) [23][55/63] lr: 1.0000e-04 eta: 1 day, 12:37:51 time: 3.7790 data_time: 0.1752 memory: 28970 loss_text: 0.1931 loss_kernel: 0.0844 loss: 0.2775 2022/08/25 23:58:29 - mmengine - INFO - Epoch(train) [23][60/63] lr: 1.0000e-04 eta: 1 day, 12:32:27 time: 2.4819 data_time: 0.1878 memory: 28970 loss_text: 0.1641 loss_kernel: 0.0718 loss: 0.2359 2022/08/25 23:58:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:01:00 - mmengine - INFO - Epoch(train) [24][5/63] lr: 1.0000e-04 eta: 1 day, 12:32:27 time: 15.1017 data_time: 10.8251 memory: 28970 loss_text: 0.2073 loss_kernel: 0.0861 loss: 0.2934 2022/08/26 00:01:31 - mmengine - INFO - Epoch(train) [24][10/63] lr: 1.0000e-04 eta: 1 day, 13:22:19 time: 16.9057 data_time: 10.8438 memory: 28970 loss_text: 0.2100 loss_kernel: 0.0898 loss: 0.2998 2022/08/26 00:01:38 - mmengine - INFO - Epoch(train) [24][15/63] lr: 1.0000e-04 eta: 1 day, 13:22:19 time: 3.7762 data_time: 0.2486 memory: 28970 loss_text: 0.1628 loss_kernel: 0.0700 loss: 0.2328 2022/08/26 00:01:59 - mmengine - INFO - Epoch(train) [24][20/63] lr: 1.0000e-04 eta: 1 day, 13:18:23 time: 2.8964 data_time: 0.2792 memory: 28970 loss_text: 0.1629 loss_kernel: 0.0718 loss: 0.2346 2022/08/26 00:02:04 - mmengine - INFO - Epoch(train) [24][25/63] lr: 1.0000e-04 eta: 1 day, 13:18:23 time: 2.6744 data_time: 0.1228 memory: 28970 loss_text: 0.1984 loss_kernel: 0.0842 loss: 0.2826 2022/08/26 00:02:27 - mmengine - INFO - Epoch(train) [24][30/63] lr: 1.0000e-04 eta: 1 day, 13:13:48 time: 2.7284 data_time: 0.3212 memory: 28970 loss_text: 0.2024 loss_kernel: 0.0858 loss: 0.2883 2022/08/26 00:02:44 - mmengine - INFO - Epoch(train) [24][35/63] lr: 1.0000e-04 eta: 1 day, 13:13:48 time: 3.9442 data_time: 0.3601 memory: 28970 loss_text: 0.1874 loss_kernel: 0.0809 loss: 0.2683 2022/08/26 00:03:09 - mmengine - INFO - Epoch(train) [24][40/63] lr: 1.0000e-04 eta: 1 day, 13:15:33 time: 4.2719 data_time: 0.2542 memory: 28970 loss_text: 0.1758 loss_kernel: 0.0740 loss: 0.2498 2022/08/26 00:03:27 - mmengine - INFO - Epoch(train) [24][45/63] lr: 1.0000e-04 eta: 1 day, 13:15:33 time: 4.1120 data_time: 0.2541 memory: 28970 loss_text: 0.1815 loss_kernel: 0.0784 loss: 0.2599 2022/08/26 00:03:45 - mmengine - INFO - Epoch(train) [24][50/63] lr: 1.0000e-04 eta: 1 day, 13:14:28 time: 3.5767 data_time: 0.4393 memory: 28970 loss_text: 0.1907 loss_kernel: 0.0834 loss: 0.2742 2022/08/26 00:03:49 - mmengine - INFO - Epoch(train) [24][55/63] lr: 1.0000e-04 eta: 1 day, 13:14:28 time: 2.4582 data_time: 0.3618 memory: 28970 loss_text: 0.1649 loss_kernel: 0.0696 loss: 0.2345 2022/08/26 00:04:09 - mmengine - INFO - Epoch(train) [24][60/63] lr: 1.0000e-04 eta: 1 day, 13:08:35 time: 2.3797 data_time: 0.1577 memory: 28970 loss_text: 0.1919 loss_kernel: 0.0810 loss: 0.2729 2022/08/26 00:04:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:06:28 - mmengine - INFO - Epoch(train) [25][5/63] lr: 1.0000e-04 eta: 1 day, 13:08:35 time: 13.9222 data_time: 9.8481 memory: 28970 loss_text: 0.2156 loss_kernel: 0.0907 loss: 0.3063 2022/08/26 00:06:46 - mmengine - INFO - Epoch(train) [25][10/63] lr: 1.0000e-04 eta: 1 day, 13:42:12 time: 13.4544 data_time: 10.0133 memory: 28970 loss_text: 0.1901 loss_kernel: 0.0813 loss: 0.2714 2022/08/26 00:06:52 - mmengine - INFO - Epoch(train) [25][15/63] lr: 1.0000e-04 eta: 1 day, 13:42:12 time: 2.4575 data_time: 0.3317 memory: 28970 loss_text: 0.1572 loss_kernel: 0.0680 loss: 0.2252 2022/08/26 00:07:12 - mmengine - INFO - Epoch(train) [25][20/63] lr: 1.0000e-04 eta: 1 day, 13:36:56 time: 2.5617 data_time: 0.0985 memory: 28970 loss_text: 0.1663 loss_kernel: 0.0712 loss: 0.2374 2022/08/26 00:07:17 - mmengine - INFO - Epoch(train) [25][25/63] lr: 1.0000e-04 eta: 1 day, 13:36:56 time: 2.5435 data_time: 0.1080 memory: 28970 loss_text: 0.2052 loss_kernel: 0.0898 loss: 0.2950 2022/08/26 00:07:36 - mmengine - INFO - Epoch(train) [25][30/63] lr: 1.0000e-04 eta: 1 day, 13:31:08 time: 2.4136 data_time: 0.1301 memory: 28970 loss_text: 0.2022 loss_kernel: 0.0870 loss: 0.2893 2022/08/26 00:07:42 - mmengine - INFO - Epoch(train) [25][35/63] lr: 1.0000e-04 eta: 1 day, 13:31:08 time: 2.4449 data_time: 0.1909 memory: 28970 loss_text: 0.1824 loss_kernel: 0.0788 loss: 0.2612 2022/08/26 00:08:05 - mmengine - INFO - Epoch(train) [25][40/63] lr: 1.0000e-04 eta: 1 day, 13:27:16 time: 2.8924 data_time: 0.2134 memory: 28970 loss_text: 0.2080 loss_kernel: 0.0886 loss: 0.2965 2022/08/26 00:08:10 - mmengine - INFO - Epoch(train) [25][45/63] lr: 1.0000e-04 eta: 1 day, 13:27:16 time: 2.8498 data_time: 0.1626 memory: 28970 loss_text: 0.2202 loss_kernel: 0.0921 loss: 0.3123 2022/08/26 00:08:31 - mmengine - INFO - Epoch(train) [25][50/63] lr: 1.0000e-04 eta: 1 day, 13:22:12 time: 2.5697 data_time: 0.1559 memory: 28970 loss_text: 0.1946 loss_kernel: 0.0821 loss: 0.2767 2022/08/26 00:08:58 - mmengine - INFO - Epoch(train) [25][55/63] lr: 1.0000e-04 eta: 1 day, 13:22:12 time: 4.7479 data_time: 0.2706 memory: 28970 loss_text: 0.1885 loss_kernel: 0.0818 loss: 0.2703 2022/08/26 00:09:36 - mmengine - INFO - Epoch(train) [25][60/63] lr: 1.0000e-04 eta: 1 day, 13:32:06 time: 6.4486 data_time: 0.2670 memory: 28970 loss_text: 0.1838 loss_kernel: 0.0811 loss: 0.2648 2022/08/26 00:09:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:12:29 - mmengine - INFO - Epoch(train) [26][5/63] lr: 1.0000e-04 eta: 1 day, 13:32:06 time: 19.4704 data_time: 10.0057 memory: 28970 loss_text: 0.2118 loss_kernel: 0.0905 loss: 0.3023 2022/08/26 00:12:56 - mmengine - INFO - Epoch(train) [26][10/63] lr: 1.0000e-04 eta: 1 day, 14:20:11 time: 17.6878 data_time: 10.2407 memory: 28970 loss_text: 0.1838 loss_kernel: 0.0805 loss: 0.2643 2022/08/26 00:13:06 - mmengine - INFO - Epoch(train) [26][15/63] lr: 1.0000e-04 eta: 1 day, 14:20:11 time: 3.7662 data_time: 0.6275 memory: 28970 loss_text: 0.1774 loss_kernel: 0.0807 loss: 0.2581 2022/08/26 00:13:27 - mmengine - INFO - Epoch(train) [26][20/63] lr: 1.0000e-04 eta: 1 day, 14:17:23 time: 3.2427 data_time: 0.3504 memory: 28970 loss_text: 0.1810 loss_kernel: 0.0803 loss: 0.2613 2022/08/26 00:13:39 - mmengine - INFO - Epoch(train) [26][25/63] lr: 1.0000e-04 eta: 1 day, 14:17:23 time: 3.3198 data_time: 0.1870 memory: 28970 loss_text: 0.1941 loss_kernel: 0.0838 loss: 0.2779 2022/08/26 00:13:54 - mmengine - INFO - Epoch(train) [26][30/63] lr: 1.0000e-04 eta: 1 day, 14:12:51 time: 2.7688 data_time: 0.2268 memory: 28970 loss_text: 0.2042 loss_kernel: 0.0870 loss: 0.2912 2022/08/26 00:14:49 - mmengine - INFO - Epoch(train) [26][35/63] lr: 1.0000e-04 eta: 1 day, 14:12:51 time: 7.0143 data_time: 0.3057 memory: 28970 loss_text: 0.1850 loss_kernel: 0.0758 loss: 0.2608 2022/08/26 00:15:01 - mmengine - INFO - Epoch(train) [26][40/63] lr: 1.0000e-04 eta: 1 day, 14:22:52 time: 6.6533 data_time: 0.2740 memory: 28970 loss_text: 0.1798 loss_kernel: 0.0751 loss: 0.2549 2022/08/26 00:15:31 - mmengine - INFO - Epoch(train) [26][45/63] lr: 1.0000e-04 eta: 1 day, 14:22:52 time: 4.1234 data_time: 0.1796 memory: 28970 loss_text: 0.1774 loss_kernel: 0.0718 loss: 0.2493 2022/08/26 00:15:41 - mmengine - INFO - Epoch(train) [26][50/63] lr: 1.0000e-04 eta: 1 day, 14:22:53 time: 3.9923 data_time: 0.4119 memory: 28970 loss_text: 0.1838 loss_kernel: 0.0759 loss: 0.2597 2022/08/26 00:16:08 - mmengine - INFO - Epoch(train) [26][55/63] lr: 1.0000e-04 eta: 1 day, 14:22:53 time: 3.6833 data_time: 0.3858 memory: 28970 loss_text: 0.1983 loss_kernel: 0.0863 loss: 0.2846 2022/08/26 00:16:34 - mmengine - INFO - Epoch(train) [26][60/63] lr: 1.0000e-04 eta: 1 day, 14:27:47 time: 5.3226 data_time: 0.3407 memory: 28970 loss_text: 0.1886 loss_kernel: 0.0825 loss: 0.2712 2022/08/26 00:16:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:18:30 - mmengine - INFO - Epoch(train) [27][5/63] lr: 1.0000e-04 eta: 1 day, 14:27:47 time: 11.6662 data_time: 9.5218 memory: 28970 loss_text: 0.2193 loss_kernel: 0.0953 loss: 0.3146 2022/08/26 00:18:35 - mmengine - INFO - Epoch(train) [27][10/63] lr: 1.0000e-04 eta: 1 day, 14:50:24 time: 11.3916 data_time: 9.5258 memory: 28970 loss_text: 0.2282 loss_kernel: 0.0978 loss: 0.3260 2022/08/26 00:18:54 - mmengine - INFO - Epoch(train) [27][15/63] lr: 1.0000e-04 eta: 1 day, 14:50:24 time: 2.3984 data_time: 0.1547 memory: 28970 loss_text: 0.2124 loss_kernel: 0.0918 loss: 0.3042 2022/08/26 00:19:00 - mmengine - INFO - Epoch(train) [27][20/63] lr: 1.0000e-04 eta: 1 day, 14:44:36 time: 2.4494 data_time: 0.1782 memory: 28970 loss_text: 0.1982 loss_kernel: 0.0849 loss: 0.2831 2022/08/26 00:19:19 - mmengine - INFO - Epoch(train) [27][25/63] lr: 1.0000e-04 eta: 1 day, 14:44:36 time: 2.4984 data_time: 0.2284 memory: 28970 loss_text: 0.1833 loss_kernel: 0.0804 loss: 0.2637 2022/08/26 00:19:24 - mmengine - INFO - Epoch(train) [27][30/63] lr: 1.0000e-04 eta: 1 day, 14:38:54 time: 2.4539 data_time: 0.2029 memory: 28970 loss_text: 0.1820 loss_kernel: 0.0791 loss: 0.2611 2022/08/26 00:19:43 - mmengine - INFO - Epoch(train) [27][35/63] lr: 1.0000e-04 eta: 1 day, 14:38:54 time: 2.3986 data_time: 0.1798 memory: 28970 loss_text: 0.1785 loss_kernel: 0.0769 loss: 0.2554 2022/08/26 00:19:49 - mmengine - INFO - Epoch(train) [27][40/63] lr: 1.0000e-04 eta: 1 day, 14:33:14 time: 2.4502 data_time: 0.1724 memory: 28970 loss_text: 0.1678 loss_kernel: 0.0755 loss: 0.2433 2022/08/26 00:20:07 - mmengine - INFO - Epoch(train) [27][45/63] lr: 1.0000e-04 eta: 1 day, 14:33:14 time: 2.4328 data_time: 0.1701 memory: 28970 loss_text: 0.1838 loss_kernel: 0.0799 loss: 0.2638 2022/08/26 00:20:27 - mmengine - INFO - Epoch(train) [27][50/63] lr: 1.0000e-04 eta: 1 day, 14:32:33 time: 3.8303 data_time: 0.1579 memory: 28970 loss_text: 0.1833 loss_kernel: 0.0796 loss: 0.2629 2022/08/26 00:20:46 - mmengine - INFO - Epoch(train) [27][55/63] lr: 1.0000e-04 eta: 1 day, 14:32:33 time: 3.8291 data_time: 0.1430 memory: 28970 loss_text: 0.1840 loss_kernel: 0.0820 loss: 0.2660 2022/08/26 00:21:05 - mmengine - INFO - Epoch(train) [27][60/63] lr: 1.0000e-04 eta: 1 day, 14:31:37 time: 3.7627 data_time: 0.2428 memory: 28970 loss_text: 0.1858 loss_kernel: 0.0785 loss: 0.2644 2022/08/26 00:21:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:22:59 - mmengine - INFO - Epoch(train) [28][5/63] lr: 1.0000e-04 eta: 1 day, 14:31:37 time: 11.6967 data_time: 9.4698 memory: 28970 loss_text: 0.1905 loss_kernel: 0.0784 loss: 0.2690 2022/08/26 00:23:04 - mmengine - INFO - Epoch(train) [28][10/63] lr: 1.0000e-04 eta: 1 day, 14:52:35 time: 11.1929 data_time: 9.4780 memory: 28970 loss_text: 0.1994 loss_kernel: 0.0834 loss: 0.2828 2022/08/26 00:23:12 - mmengine - INFO - Epoch(train) [28][15/63] lr: 1.0000e-04 eta: 1 day, 14:52:35 time: 1.2644 data_time: 0.0533 memory: 28970 loss_text: 0.1916 loss_kernel: 0.0829 loss: 0.2745 2022/08/26 00:23:17 - mmengine - INFO - Epoch(train) [28][20/63] lr: 1.0000e-04 eta: 1 day, 14:42:51 time: 1.2812 data_time: 0.0692 memory: 28970 loss_text: 0.1729 loss_kernel: 0.0788 loss: 0.2516 2022/08/26 00:23:27 - mmengine - INFO - Epoch(train) [28][25/63] lr: 1.0000e-04 eta: 1 day, 14:42:51 time: 1.5199 data_time: 0.0928 memory: 28970 loss_text: 0.1767 loss_kernel: 0.0792 loss: 0.2559 2022/08/26 00:23:34 - mmengine - INFO - Epoch(train) [28][30/63] lr: 1.0000e-04 eta: 1 day, 14:34:50 time: 1.7364 data_time: 0.0885 memory: 28970 loss_text: 0.1903 loss_kernel: 0.0818 loss: 0.2721 2022/08/26 00:23:41 - mmengine - INFO - Epoch(train) [28][35/63] lr: 1.0000e-04 eta: 1 day, 14:34:50 time: 1.3777 data_time: 0.0857 memory: 28970 loss_text: 0.1704 loss_kernel: 0.0745 loss: 0.2449 2022/08/26 00:23:55 - mmengine - INFO - Epoch(train) [28][40/63] lr: 1.0000e-04 eta: 1 day, 14:27:58 time: 2.0495 data_time: 0.1082 memory: 28970 loss_text: 0.1773 loss_kernel: 0.0800 loss: 0.2574 2022/08/26 00:24:00 - mmengine - INFO - Epoch(train) [28][45/63] lr: 1.0000e-04 eta: 1 day, 14:27:58 time: 1.9139 data_time: 0.1078 memory: 28970 loss_text: 0.1860 loss_kernel: 0.0807 loss: 0.2667 2022/08/26 00:24:14 - mmengine - INFO - Epoch(train) [28][50/63] lr: 1.0000e-04 eta: 1 day, 14:20:45 time: 1.9247 data_time: 0.0962 memory: 28970 loss_text: 0.1729 loss_kernel: 0.0727 loss: 0.2456 2022/08/26 00:24:18 - mmengine - INFO - Epoch(train) [28][55/63] lr: 1.0000e-04 eta: 1 day, 14:20:45 time: 1.8702 data_time: 0.0945 memory: 28970 loss_text: 0.1899 loss_kernel: 0.0831 loss: 0.2730 2022/08/26 00:24:33 - mmengine - INFO - Epoch(train) [28][60/63] lr: 1.0000e-04 eta: 1 day, 14:13:32 time: 1.8991 data_time: 0.0640 memory: 28970 loss_text: 0.1755 loss_kernel: 0.0779 loss: 0.2535 2022/08/26 00:24:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:26:20 - mmengine - INFO - Epoch(train) [29][5/63] lr: 1.0000e-04 eta: 1 day, 14:13:32 time: 11.0615 data_time: 9.1174 memory: 28970 loss_text: 0.1869 loss_kernel: 0.0771 loss: 0.2640 2022/08/26 00:26:25 - mmengine - INFO - Epoch(train) [29][10/63] lr: 1.0000e-04 eta: 1 day, 14:32:41 time: 10.8640 data_time: 9.0843 memory: 28970 loss_text: 0.2087 loss_kernel: 0.0868 loss: 0.2956 2022/08/26 00:26:38 - mmengine - INFO - Epoch(train) [29][15/63] lr: 1.0000e-04 eta: 1 day, 14:32:41 time: 1.8096 data_time: 0.0658 memory: 28970 loss_text: 0.1908 loss_kernel: 0.0835 loss: 0.2743 2022/08/26 00:26:43 - mmengine - INFO - Epoch(train) [29][20/63] lr: 1.0000e-04 eta: 1 day, 14:25:06 time: 1.7912 data_time: 0.0928 memory: 28970 loss_text: 0.1937 loss_kernel: 0.0846 loss: 0.2783 2022/08/26 00:26:56 - mmengine - INFO - Epoch(train) [29][25/63] lr: 1.0000e-04 eta: 1 day, 14:25:06 time: 1.8315 data_time: 0.1433 memory: 28970 loss_text: 0.1835 loss_kernel: 0.0809 loss: 0.2645 2022/08/26 00:27:02 - mmengine - INFO - Epoch(train) [29][30/63] lr: 1.0000e-04 eta: 1 day, 14:18:03 time: 1.9258 data_time: 0.1080 memory: 28970 loss_text: 0.1764 loss_kernel: 0.0769 loss: 0.2533 2022/08/26 00:27:13 - mmengine - INFO - Epoch(train) [29][35/63] lr: 1.0000e-04 eta: 1 day, 14:18:03 time: 1.6897 data_time: 0.0837 memory: 28970 loss_text: 0.2120 loss_kernel: 0.0894 loss: 0.3013 2022/08/26 00:27:18 - mmengine - INFO - Epoch(train) [29][40/63] lr: 1.0000e-04 eta: 1 day, 14:10:08 time: 1.6373 data_time: 0.1086 memory: 28970 loss_text: 0.2142 loss_kernel: 0.0927 loss: 0.3070 2022/08/26 00:27:30 - mmengine - INFO - Epoch(train) [29][45/63] lr: 1.0000e-04 eta: 1 day, 14:10:08 time: 1.6687 data_time: 0.0820 memory: 28970 loss_text: 0.2122 loss_kernel: 0.0950 loss: 0.3072 2022/08/26 00:27:44 - mmengine - INFO - Epoch(train) [29][50/63] lr: 1.0000e-04 eta: 1 day, 14:05:20 time: 2.5576 data_time: 0.1368 memory: 28970 loss_text: 0.2090 loss_kernel: 0.0908 loss: 0.2999 2022/08/26 00:27:51 - mmengine - INFO - Epoch(train) [29][55/63] lr: 1.0000e-04 eta: 1 day, 14:05:20 time: 2.1177 data_time: 0.1338 memory: 28970 loss_text: 0.2062 loss_kernel: 0.0887 loss: 0.2948 2022/08/26 00:28:01 - mmengine - INFO - Epoch(train) [29][60/63] lr: 1.0000e-04 eta: 1 day, 13:57:45 time: 1.6979 data_time: 0.0655 memory: 28970 loss_text: 0.2183 loss_kernel: 0.0949 loss: 0.3132 2022/08/26 00:28:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:30:08 - mmengine - INFO - Epoch(train) [30][5/63] lr: 1.0000e-04 eta: 1 day, 13:57:45 time: 12.9530 data_time: 9.9765 memory: 28970 loss_text: 0.2008 loss_kernel: 0.0883 loss: 0.2891 2022/08/26 00:30:29 - mmengine - INFO - Epoch(train) [30][10/63] lr: 1.0000e-04 eta: 1 day, 14:26:42 time: 14.0627 data_time: 10.1179 memory: 28970 loss_text: 0.1951 loss_kernel: 0.0834 loss: 0.2785 2022/08/26 00:30:47 - mmengine - INFO - Epoch(train) [30][15/63] lr: 1.0000e-04 eta: 1 day, 14:26:42 time: 3.9353 data_time: 0.3397 memory: 28970 loss_text: 0.1757 loss_kernel: 0.0745 loss: 0.2502 2022/08/26 00:30:55 - mmengine - INFO - Epoch(train) [30][20/63] lr: 1.0000e-04 eta: 1 day, 14:22:04 time: 2.6171 data_time: 0.1524 memory: 28970 loss_text: 0.1830 loss_kernel: 0.0818 loss: 0.2648 2022/08/26 00:31:20 - mmengine - INFO - Epoch(train) [30][25/63] lr: 1.0000e-04 eta: 1 day, 14:22:04 time: 3.2170 data_time: 0.1892 memory: 28970 loss_text: 0.1916 loss_kernel: 0.0860 loss: 0.2776 2022/08/26 00:31:25 - mmengine - INFO - Epoch(train) [30][30/63] lr: 1.0000e-04 eta: 1 day, 14:18:37 time: 2.9718 data_time: 0.1969 memory: 28970 loss_text: 0.1680 loss_kernel: 0.0762 loss: 0.2442 2022/08/26 00:31:49 - mmengine - INFO - Epoch(train) [30][35/63] lr: 1.0000e-04 eta: 1 day, 14:18:37 time: 2.8884 data_time: 0.1075 memory: 28970 loss_text: 0.1485 loss_kernel: 0.0648 loss: 0.2132 2022/08/26 00:31:54 - mmengine - INFO - Epoch(train) [30][40/63] lr: 1.0000e-04 eta: 1 day, 14:14:58 time: 2.9009 data_time: 0.1505 memory: 28970 loss_text: 0.1587 loss_kernel: 0.0675 loss: 0.2262 2022/08/26 00:32:17 - mmengine - INFO - Epoch(train) [30][45/63] lr: 1.0000e-04 eta: 1 day, 14:14:58 time: 2.8401 data_time: 0.2200 memory: 28970 loss_text: 0.1701 loss_kernel: 0.0731 loss: 0.2432 2022/08/26 00:32:22 - mmengine - INFO - Epoch(train) [30][50/63] lr: 1.0000e-04 eta: 1 day, 14:11:06 time: 2.8210 data_time: 0.1547 memory: 28970 loss_text: 0.1715 loss_kernel: 0.0720 loss: 0.2435 2022/08/26 00:32:43 - mmengine - INFO - Epoch(train) [30][55/63] lr: 1.0000e-04 eta: 1 day, 14:11:06 time: 2.6437 data_time: 0.1301 memory: 28970 loss_text: 0.1719 loss_kernel: 0.0744 loss: 0.2463 2022/08/26 00:33:00 - mmengine - INFO - Epoch(train) [30][60/63] lr: 1.0000e-04 eta: 1 day, 14:09:53 time: 3.6426 data_time: 0.1170 memory: 28970 loss_text: 0.1977 loss_kernel: 0.0847 loss: 0.2824 2022/08/26 00:33:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:35:06 - mmengine - INFO - Epoch(train) [31][5/63] lr: 1.0000e-04 eta: 1 day, 14:09:53 time: 13.8906 data_time: 10.4152 memory: 28970 loss_text: 0.2130 loss_kernel: 0.0920 loss: 0.3050 2022/08/26 00:35:33 - mmengine - INFO - Epoch(train) [31][10/63] lr: 1.0000e-04 eta: 1 day, 14:37:39 time: 14.0529 data_time: 10.1988 memory: 28970 loss_text: 0.1899 loss_kernel: 0.0833 loss: 0.2732 2022/08/26 00:35:38 - mmengine - INFO - Epoch(train) [31][15/63] lr: 1.0000e-04 eta: 1 day, 14:37:39 time: 3.2316 data_time: 0.1007 memory: 28970 loss_text: 0.1825 loss_kernel: 0.0803 loss: 0.2628 2022/08/26 00:35:58 - mmengine - INFO - Epoch(train) [31][20/63] lr: 1.0000e-04 eta: 1 day, 14:32:39 time: 2.4844 data_time: 0.0988 memory: 28970 loss_text: 0.1835 loss_kernel: 0.0811 loss: 0.2646 2022/08/26 00:36:04 - mmengine - INFO - Epoch(train) [31][25/63] lr: 1.0000e-04 eta: 1 day, 14:32:39 time: 2.6622 data_time: 0.2071 memory: 28970 loss_text: 0.2044 loss_kernel: 0.0898 loss: 0.2942 2022/08/26 00:36:29 - mmengine - INFO - Epoch(train) [31][30/63] lr: 1.0000e-04 eta: 1 day, 14:29:33 time: 3.0773 data_time: 0.1893 memory: 28970 loss_text: 0.2110 loss_kernel: 0.0915 loss: 0.3025 2022/08/26 00:36:33 - mmengine - INFO - Epoch(train) [31][35/63] lr: 1.0000e-04 eta: 1 day, 14:29:33 time: 2.9016 data_time: 0.1107 memory: 28970 loss_text: 0.2217 loss_kernel: 0.0966 loss: 0.3183 2022/08/26 00:36:57 - mmengine - INFO - Epoch(train) [31][40/63] lr: 1.0000e-04 eta: 1 day, 14:25:52 time: 2.8811 data_time: 0.1466 memory: 28970 loss_text: 0.2141 loss_kernel: 0.0945 loss: 0.3085 2022/08/26 00:37:27 - mmengine - INFO - Epoch(train) [31][45/63] lr: 1.0000e-04 eta: 1 day, 14:25:52 time: 5.2765 data_time: 0.2594 memory: 28970 loss_text: 0.1998 loss_kernel: 0.0905 loss: 0.2903 2022/08/26 00:37:49 - mmengine - INFO - Epoch(train) [31][50/63] lr: 1.0000e-04 eta: 1 day, 14:29:03 time: 5.0999 data_time: 0.3423 memory: 28970 loss_text: 0.2074 loss_kernel: 0.0927 loss: 0.3001 2022/08/26 00:38:11 - mmengine - INFO - Epoch(train) [31][55/63] lr: 1.0000e-04 eta: 1 day, 14:29:03 time: 4.3902 data_time: 0.5531 memory: 28970 loss_text: 0.1844 loss_kernel: 0.0787 loss: 0.2631 2022/08/26 00:38:15 - mmengine - INFO - Epoch(train) [31][60/63] lr: 1.0000e-04 eta: 1 day, 14:24:53 time: 2.7138 data_time: 0.5011 memory: 28970 loss_text: 0.1658 loss_kernel: 0.0710 loss: 0.2368 2022/08/26 00:39:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:41:12 - mmengine - INFO - Epoch(train) [32][5/63] lr: 1.0000e-04 eta: 1 day, 14:24:53 time: 17.7407 data_time: 11.0367 memory: 28970 loss_text: 0.1610 loss_kernel: 0.0698 loss: 0.2308 2022/08/26 00:41:30 - mmengine - INFO - Epoch(train) [32][10/63] lr: 1.0000e-04 eta: 1 day, 14:53:56 time: 14.8341 data_time: 11.1220 memory: 28970 loss_text: 0.1613 loss_kernel: 0.0727 loss: 0.2340 2022/08/26 00:41:36 - mmengine - INFO - Epoch(train) [32][15/63] lr: 1.0000e-04 eta: 1 day, 14:53:56 time: 2.4681 data_time: 0.2523 memory: 28970 loss_text: 0.1620 loss_kernel: 0.0746 loss: 0.2365 2022/08/26 00:41:59 - mmengine - INFO - Epoch(train) [32][20/63] lr: 1.0000e-04 eta: 1 day, 14:50:06 time: 2.8555 data_time: 0.1796 memory: 28970 loss_text: 0.1740 loss_kernel: 0.0766 loss: 0.2506 2022/08/26 00:42:04 - mmengine - INFO - Epoch(train) [32][25/63] lr: 1.0000e-04 eta: 1 day, 14:50:06 time: 2.8012 data_time: 0.2347 memory: 28970 loss_text: 0.2072 loss_kernel: 0.0893 loss: 0.2964 2022/08/26 00:42:32 - mmengine - INFO - Epoch(train) [32][30/63] lr: 1.0000e-04 eta: 1 day, 14:47:43 time: 3.3261 data_time: 0.2381 memory: 28970 loss_text: 0.1915 loss_kernel: 0.0832 loss: 0.2747 2022/08/26 00:42:52 - mmengine - INFO - Epoch(train) [32][35/63] lr: 1.0000e-04 eta: 1 day, 14:47:43 time: 4.7135 data_time: 0.2219 memory: 28970 loss_text: 0.1725 loss_kernel: 0.0749 loss: 0.2473 2022/08/26 00:42:59 - mmengine - INFO - Epoch(train) [32][40/63] lr: 1.0000e-04 eta: 1 day, 14:43:39 time: 2.7619 data_time: 0.2603 memory: 28970 loss_text: 0.1790 loss_kernel: 0.0786 loss: 0.2576 2022/08/26 00:43:42 - mmengine - INFO - Epoch(train) [32][45/63] lr: 1.0000e-04 eta: 1 day, 14:43:39 time: 4.9951 data_time: 0.2242 memory: 28970 loss_text: 0.1763 loss_kernel: 0.0737 loss: 0.2500 2022/08/26 00:43:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:44:07 - mmengine - INFO - Epoch(train) [32][50/63] lr: 1.0000e-04 eta: 1 day, 14:51:21 time: 6.6947 data_time: 0.2350 memory: 28970 loss_text: 0.1923 loss_kernel: 0.0790 loss: 0.2713 2022/08/26 00:44:22 - mmengine - INFO - Epoch(train) [32][55/63] lr: 1.0000e-04 eta: 1 day, 14:51:21 time: 3.9925 data_time: 0.3685 memory: 28970 loss_text: 0.1807 loss_kernel: 0.0762 loss: 0.2568 2022/08/26 00:44:56 - mmengine - INFO - Epoch(train) [32][60/63] lr: 1.0000e-04 eta: 1 day, 14:53:56 time: 5.0025 data_time: 0.5155 memory: 28970 loss_text: 0.1804 loss_kernel: 0.0784 loss: 0.2588 2022/08/26 00:45:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:47:23 - mmengine - INFO - Epoch(train) [33][5/63] lr: 1.0000e-04 eta: 1 day, 14:53:56 time: 15.5534 data_time: 10.4153 memory: 28970 loss_text: 0.2077 loss_kernel: 0.0925 loss: 0.3002 2022/08/26 00:47:44 - mmengine - INFO - Epoch(train) [33][10/63] lr: 1.0000e-04 eta: 1 day, 15:18:42 time: 13.7897 data_time: 10.2693 memory: 28970 loss_text: 0.1996 loss_kernel: 0.0868 loss: 0.2863 2022/08/26 00:47:52 - mmengine - INFO - Epoch(train) [33][15/63] lr: 1.0000e-04 eta: 1 day, 15:18:42 time: 2.8722 data_time: 0.1936 memory: 28970 loss_text: 0.1810 loss_kernel: 0.0762 loss: 0.2572 2022/08/26 00:48:12 - mmengine - INFO - Epoch(train) [33][20/63] lr: 1.0000e-04 eta: 1 day, 15:14:39 time: 2.7989 data_time: 0.1878 memory: 28970 loss_text: 0.1843 loss_kernel: 0.0806 loss: 0.2649 2022/08/26 00:48:18 - mmengine - INFO - Epoch(train) [33][25/63] lr: 1.0000e-04 eta: 1 day, 15:14:39 time: 2.6437 data_time: 0.1518 memory: 28970 loss_text: 0.2006 loss_kernel: 0.0884 loss: 0.2890 2022/08/26 00:48:40 - mmengine - INFO - Epoch(train) [33][30/63] lr: 1.0000e-04 eta: 1 day, 15:10:30 time: 2.7481 data_time: 0.1463 memory: 28970 loss_text: 0.1989 loss_kernel: 0.0863 loss: 0.2852 2022/08/26 00:48:46 - mmengine - INFO - Epoch(train) [33][35/63] lr: 1.0000e-04 eta: 1 day, 15:10:30 time: 2.8176 data_time: 0.1643 memory: 28970 loss_text: 0.1633 loss_kernel: 0.0718 loss: 0.2351 2022/08/26 00:49:02 - mmengine - INFO - Epoch(train) [33][40/63] lr: 1.0000e-04 eta: 1 day, 15:04:52 time: 2.2255 data_time: 0.1479 memory: 28970 loss_text: 0.1661 loss_kernel: 0.0723 loss: 0.2384 2022/08/26 00:49:30 - mmengine - INFO - Epoch(train) [33][45/63] lr: 1.0000e-04 eta: 1 day, 15:04:52 time: 4.3354 data_time: 0.5186 memory: 28970 loss_text: 0.2068 loss_kernel: 0.0900 loss: 0.2969 2022/08/26 00:49:44 - mmengine - INFO - Epoch(train) [33][50/63] lr: 1.0000e-04 eta: 1 day, 15:05:00 time: 4.2122 data_time: 0.5970 memory: 28970 loss_text: 0.1970 loss_kernel: 0.0855 loss: 0.2825 2022/08/26 00:49:58 - mmengine - INFO - Epoch(train) [33][55/63] lr: 1.0000e-04 eta: 1 day, 15:05:00 time: 2.8710 data_time: 0.2496 memory: 28970 loss_text: 0.1940 loss_kernel: 0.0839 loss: 0.2778 2022/08/26 00:50:27 - mmengine - INFO - Epoch(train) [33][60/63] lr: 1.0000e-04 eta: 1 day, 15:05:17 time: 4.2632 data_time: 0.3658 memory: 28970 loss_text: 0.2006 loss_kernel: 0.0893 loss: 0.2898 2022/08/26 00:50:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:52:34 - mmengine - INFO - Epoch(train) [34][5/63] lr: 1.0000e-04 eta: 1 day, 15:05:17 time: 12.8931 data_time: 9.9893 memory: 28970 loss_text: 0.1865 loss_kernel: 0.0786 loss: 0.2652 2022/08/26 00:52:56 - mmengine - INFO - Epoch(train) [34][10/63] lr: 1.0000e-04 eta: 1 day, 15:30:04 time: 14.1214 data_time: 9.9274 memory: 28970 loss_text: 0.1678 loss_kernel: 0.0729 loss: 0.2407 2022/08/26 00:53:01 - mmengine - INFO - Epoch(train) [34][15/63] lr: 1.0000e-04 eta: 1 day, 15:30:04 time: 2.6863 data_time: 0.1052 memory: 28970 loss_text: 0.1825 loss_kernel: 0.0778 loss: 0.2603 2022/08/26 00:53:19 - mmengine - INFO - Epoch(train) [34][20/63] lr: 1.0000e-04 eta: 1 day, 15:24:25 time: 2.2207 data_time: 0.0611 memory: 28970 loss_text: 0.1930 loss_kernel: 0.0835 loss: 0.2765 2022/08/26 00:53:24 - mmengine - INFO - Epoch(train) [34][25/63] lr: 1.0000e-04 eta: 1 day, 15:24:25 time: 2.3108 data_time: 0.1513 memory: 28970 loss_text: 0.1999 loss_kernel: 0.0858 loss: 0.2857 2022/08/26 00:53:51 - mmengine - INFO - Epoch(train) [34][30/63] lr: 1.0000e-04 eta: 1 day, 15:21:41 time: 3.2429 data_time: 0.1416 memory: 28970 loss_text: 0.2122 loss_kernel: 0.0895 loss: 0.3017 2022/08/26 00:53:57 - mmengine - INFO - Epoch(train) [34][35/63] lr: 1.0000e-04 eta: 1 day, 15:21:41 time: 3.2698 data_time: 0.1408 memory: 28970 loss_text: 0.2092 loss_kernel: 0.0932 loss: 0.3024 2022/08/26 00:54:19 - mmengine - INFO - Epoch(train) [34][40/63] lr: 1.0000e-04 eta: 1 day, 15:17:45 time: 2.8028 data_time: 0.1736 memory: 28970 loss_text: 0.1752 loss_kernel: 0.0774 loss: 0.2526 2022/08/26 00:54:23 - mmengine - INFO - Epoch(train) [34][45/63] lr: 1.0000e-04 eta: 1 day, 15:17:45 time: 2.6668 data_time: 0.0994 memory: 28970 loss_text: 0.1710 loss_kernel: 0.0730 loss: 0.2440 2022/08/26 00:54:45 - mmengine - INFO - Epoch(train) [34][50/63] lr: 1.0000e-04 eta: 1 day, 15:13:16 time: 2.5930 data_time: 0.0926 memory: 28970 loss_text: 0.1630 loss_kernel: 0.0716 loss: 0.2346 2022/08/26 00:55:11 - mmengine - INFO - Epoch(train) [34][55/63] lr: 1.0000e-04 eta: 1 day, 15:13:16 time: 4.6303 data_time: 0.2616 memory: 28970 loss_text: 0.1542 loss_kernel: 0.0676 loss: 0.2218 2022/08/26 00:55:32 - mmengine - INFO - Epoch(train) [34][60/63] lr: 1.0000e-04 eta: 1 day, 15:14:36 time: 4.6810 data_time: 0.5069 memory: 28970 loss_text: 0.1807 loss_kernel: 0.0779 loss: 0.2586 2022/08/26 00:55:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 00:57:49 - mmengine - INFO - Epoch(train) [35][5/63] lr: 1.0000e-04 eta: 1 day, 15:14:36 time: 15.2198 data_time: 9.9572 memory: 28970 loss_text: 0.1884 loss_kernel: 0.0822 loss: 0.2707 2022/08/26 00:58:11 - mmengine - INFO - Epoch(train) [35][10/63] lr: 1.0000e-04 eta: 1 day, 15:37:01 time: 13.5811 data_time: 9.7665 memory: 28970 loss_text: 0.1985 loss_kernel: 0.0847 loss: 0.2832 2022/08/26 00:58:16 - mmengine - INFO - Epoch(train) [35][15/63] lr: 1.0000e-04 eta: 1 day, 15:37:01 time: 2.7218 data_time: 0.2450 memory: 28970 loss_text: 0.1787 loss_kernel: 0.0781 loss: 0.2568 2022/08/26 00:58:34 - mmengine - INFO - Epoch(train) [35][20/63] lr: 1.0000e-04 eta: 1 day, 15:31:43 time: 2.3102 data_time: 0.2431 memory: 28970 loss_text: 0.1768 loss_kernel: 0.0791 loss: 0.2559 2022/08/26 00:58:39 - mmengine - INFO - Epoch(train) [35][25/63] lr: 1.0000e-04 eta: 1 day, 15:31:43 time: 2.2839 data_time: 0.2045 memory: 28970 loss_text: 0.1859 loss_kernel: 0.0814 loss: 0.2673 2022/08/26 00:59:01 - mmengine - INFO - Epoch(train) [35][30/63] lr: 1.0000e-04 eta: 1 day, 15:27:43 time: 2.7762 data_time: 0.1342 memory: 28970 loss_text: 0.1845 loss_kernel: 0.0823 loss: 0.2668 2022/08/26 00:59:07 - mmengine - INFO - Epoch(train) [35][35/63] lr: 1.0000e-04 eta: 1 day, 15:27:43 time: 2.8363 data_time: 0.1556 memory: 28970 loss_text: 0.1789 loss_kernel: 0.0790 loss: 0.2580 2022/08/26 00:59:27 - mmengine - INFO - Epoch(train) [35][40/63] lr: 1.0000e-04 eta: 1 day, 15:23:18 time: 2.6042 data_time: 0.1837 memory: 28970 loss_text: 0.1833 loss_kernel: 0.0759 loss: 0.2591 2022/08/26 00:59:33 - mmengine - INFO - Epoch(train) [35][45/63] lr: 1.0000e-04 eta: 1 day, 15:23:18 time: 2.5868 data_time: 0.1448 memory: 28970 loss_text: 0.1586 loss_kernel: 0.0671 loss: 0.2257 2022/08/26 00:59:58 - mmengine - INFO - Epoch(train) [35][50/63] lr: 1.0000e-04 eta: 1 day, 15:20:04 time: 3.0350 data_time: 0.2034 memory: 28970 loss_text: 0.1735 loss_kernel: 0.0754 loss: 0.2490 2022/08/26 01:00:24 - mmengine - INFO - Epoch(train) [35][55/63] lr: 1.0000e-04 eta: 1 day, 15:20:04 time: 5.0222 data_time: 0.4819 memory: 28970 loss_text: 0.1897 loss_kernel: 0.0805 loss: 0.2702 2022/08/26 01:01:00 - mmengine - INFO - Epoch(train) [35][60/63] lr: 1.0000e-04 eta: 1 day, 15:25:28 time: 6.2282 data_time: 0.5427 memory: 28970 loss_text: 0.1721 loss_kernel: 0.0745 loss: 0.2466 2022/08/26 01:01:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:03:10 - mmengine - INFO - Epoch(train) [36][5/63] lr: 1.0000e-04 eta: 1 day, 15:25:28 time: 14.4633 data_time: 9.8190 memory: 28970 loss_text: 0.1873 loss_kernel: 0.0817 loss: 0.2691 2022/08/26 01:03:31 - mmengine - INFO - Epoch(train) [36][10/63] lr: 1.0000e-04 eta: 1 day, 15:45:32 time: 12.9995 data_time: 9.7630 memory: 28970 loss_text: 0.1960 loss_kernel: 0.0855 loss: 0.2816 2022/08/26 01:03:37 - mmengine - INFO - Epoch(train) [36][15/63] lr: 1.0000e-04 eta: 1 day, 15:45:32 time: 2.7184 data_time: 0.1638 memory: 28970 loss_text: 0.1783 loss_kernel: 0.0758 loss: 0.2542 2022/08/26 01:03:55 - mmengine - INFO - Epoch(train) [36][20/63] lr: 1.0000e-04 eta: 1 day, 15:40:31 time: 2.3916 data_time: 0.2361 memory: 28970 loss_text: 0.1719 loss_kernel: 0.0732 loss: 0.2451 2022/08/26 01:04:10 - mmengine - INFO - Epoch(train) [36][25/63] lr: 1.0000e-04 eta: 1 day, 15:40:31 time: 3.2481 data_time: 0.2367 memory: 28970 loss_text: 0.1886 loss_kernel: 0.0796 loss: 0.2682 2022/08/26 01:04:23 - mmengine - INFO - Epoch(train) [36][30/63] lr: 1.0000e-04 eta: 1 day, 15:36:28 time: 2.7367 data_time: 0.1582 memory: 28970 loss_text: 0.1573 loss_kernel: 0.0673 loss: 0.2246 2022/08/26 01:04:44 - mmengine - INFO - Epoch(train) [36][35/63] lr: 1.0000e-04 eta: 1 day, 15:36:28 time: 3.4552 data_time: 0.0960 memory: 28970 loss_text: 0.1645 loss_kernel: 0.0742 loss: 0.2387 2022/08/26 01:04:49 - mmengine - INFO - Epoch(train) [36][40/63] lr: 1.0000e-04 eta: 1 day, 15:32:16 time: 2.6700 data_time: 0.1300 memory: 28970 loss_text: 0.2233 loss_kernel: 0.0976 loss: 0.3209 2022/08/26 01:05:08 - mmengine - INFO - Epoch(train) [36][45/63] lr: 1.0000e-04 eta: 1 day, 15:32:16 time: 2.3886 data_time: 0.1373 memory: 28970 loss_text: 0.1946 loss_kernel: 0.0862 loss: 0.2808 2022/08/26 01:05:32 - mmengine - INFO - Epoch(train) [36][50/63] lr: 1.0000e-04 eta: 1 day, 15:32:16 time: 4.2604 data_time: 0.2062 memory: 28970 loss_text: 0.1685 loss_kernel: 0.0747 loss: 0.2431 2022/08/26 01:05:45 - mmengine - INFO - Epoch(train) [36][55/63] lr: 1.0000e-04 eta: 1 day, 15:32:16 time: 3.7045 data_time: 0.2659 memory: 28970 loss_text: 0.1679 loss_kernel: 0.0724 loss: 0.2402 2022/08/26 01:05:57 - mmengine - INFO - Epoch(train) [36][60/63] lr: 1.0000e-04 eta: 1 day, 15:27:48 time: 2.5481 data_time: 0.3606 memory: 28970 loss_text: 0.1735 loss_kernel: 0.0748 loss: 0.2483 2022/08/26 01:06:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:07:49 - mmengine - INFO - Epoch(train) [37][5/63] lr: 1.0000e-04 eta: 1 day, 15:27:48 time: 11.3583 data_time: 9.5709 memory: 28970 loss_text: 0.2112 loss_kernel: 0.0947 loss: 0.3059 2022/08/26 01:08:01 - mmengine - INFO - Epoch(train) [37][10/63] lr: 1.0000e-04 eta: 1 day, 15:44:54 time: 12.1143 data_time: 9.6510 memory: 28970 loss_text: 0.2109 loss_kernel: 0.0938 loss: 0.3047 2022/08/26 01:08:16 - mmengine - INFO - Epoch(train) [37][15/63] lr: 1.0000e-04 eta: 1 day, 15:44:54 time: 2.6947 data_time: 0.2618 memory: 28970 loss_text: 0.1716 loss_kernel: 0.0785 loss: 0.2501 2022/08/26 01:08:25 - mmengine - INFO - Epoch(train) [37][20/63] lr: 1.0000e-04 eta: 1 day, 15:39:57 time: 2.3722 data_time: 0.2149 memory: 28970 loss_text: 0.1628 loss_kernel: 0.0746 loss: 0.2374 2022/08/26 01:08:43 - mmengine - INFO - Epoch(train) [37][25/63] lr: 1.0000e-04 eta: 1 day, 15:39:57 time: 2.6728 data_time: 0.1420 memory: 28970 loss_text: 0.1781 loss_kernel: 0.0806 loss: 0.2586 2022/08/26 01:09:07 - mmengine - INFO - Epoch(train) [37][30/63] lr: 1.0000e-04 eta: 1 day, 15:39:42 time: 4.1837 data_time: 0.2171 memory: 28970 loss_text: 0.1795 loss_kernel: 0.0792 loss: 0.2587 2022/08/26 01:09:12 - mmengine - INFO - Epoch(train) [37][35/63] lr: 1.0000e-04 eta: 1 day, 15:39:42 time: 2.9387 data_time: 0.2560 memory: 28970 loss_text: 0.1736 loss_kernel: 0.0739 loss: 0.2476 2022/08/26 01:09:34 - mmengine - INFO - Epoch(train) [37][40/63] lr: 1.0000e-04 eta: 1 day, 15:35:33 time: 2.6668 data_time: 0.1798 memory: 28970 loss_text: 0.1828 loss_kernel: 0.0781 loss: 0.2609 2022/08/26 01:09:40 - mmengine - INFO - Epoch(train) [37][45/63] lr: 1.0000e-04 eta: 1 day, 15:35:33 time: 2.7251 data_time: 0.1457 memory: 28970 loss_text: 0.1947 loss_kernel: 0.0805 loss: 0.2752 2022/08/26 01:09:56 - mmengine - INFO - Epoch(train) [37][50/63] lr: 1.0000e-04 eta: 1 day, 15:30:09 time: 2.1637 data_time: 0.1876 memory: 28970 loss_text: 0.1738 loss_kernel: 0.0743 loss: 0.2481 2022/08/26 01:10:17 - mmengine - INFO - Epoch(train) [37][55/63] lr: 1.0000e-04 eta: 1 day, 15:30:09 time: 3.6498 data_time: 0.1649 memory: 28970 loss_text: 0.1823 loss_kernel: 0.0805 loss: 0.2628 2022/08/26 01:10:24 - mmengine - INFO - Epoch(train) [37][60/63] lr: 1.0000e-04 eta: 1 day, 15:26:46 time: 2.9352 data_time: 0.2991 memory: 28970 loss_text: 0.1989 loss_kernel: 0.0867 loss: 0.2857 2022/08/26 01:10:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:12:38 - mmengine - INFO - Epoch(train) [38][5/63] lr: 1.0000e-04 eta: 1 day, 15:26:46 time: 13.3695 data_time: 9.6280 memory: 28970 loss_text: 0.1911 loss_kernel: 0.0843 loss: 0.2755 2022/08/26 01:12:53 - mmengine - INFO - Epoch(train) [38][10/63] lr: 1.0000e-04 eta: 1 day, 15:45:29 time: 12.9594 data_time: 9.7632 memory: 28970 loss_text: 0.1627 loss_kernel: 0.0733 loss: 0.2360 2022/08/26 01:13:08 - mmengine - INFO - Epoch(train) [38][15/63] lr: 1.0000e-04 eta: 1 day, 15:45:29 time: 3.0544 data_time: 0.3164 memory: 28970 loss_text: 0.1757 loss_kernel: 0.0758 loss: 0.2515 2022/08/26 01:13:18 - mmengine - INFO - Epoch(train) [38][20/63] lr: 1.0000e-04 eta: 1 day, 15:40:59 time: 2.5145 data_time: 0.2824 memory: 28970 loss_text: 0.1820 loss_kernel: 0.0777 loss: 0.2597 2022/08/26 01:13:35 - mmengine - INFO - Epoch(train) [38][25/63] lr: 1.0000e-04 eta: 1 day, 15:40:59 time: 2.7062 data_time: 0.1509 memory: 28970 loss_text: 0.1893 loss_kernel: 0.0816 loss: 0.2709 2022/08/26 01:13:40 - mmengine - INFO - Epoch(train) [38][30/63] lr: 1.0000e-04 eta: 1 day, 15:35:52 time: 2.2577 data_time: 0.1034 memory: 28970 loss_text: 0.2051 loss_kernel: 0.0867 loss: 0.2918 2022/08/26 01:13:59 - mmengine - INFO - Epoch(train) [38][35/63] lr: 1.0000e-04 eta: 1 day, 15:35:52 time: 2.4014 data_time: 0.0943 memory: 28970 loss_text: 0.1951 loss_kernel: 0.0829 loss: 0.2780 2022/08/26 01:14:06 - mmengine - INFO - Epoch(train) [38][40/63] lr: 1.0000e-04 eta: 1 day, 15:31:33 time: 2.5533 data_time: 0.1446 memory: 28970 loss_text: 0.1796 loss_kernel: 0.0776 loss: 0.2572 2022/08/26 01:14:29 - mmengine - INFO - Epoch(train) [38][45/63] lr: 1.0000e-04 eta: 1 day, 15:31:33 time: 2.9564 data_time: 0.2591 memory: 28970 loss_text: 0.2080 loss_kernel: 0.0886 loss: 0.2966 2022/08/26 01:14:33 - mmengine - INFO - Epoch(train) [38][50/63] lr: 1.0000e-04 eta: 1 day, 15:27:48 time: 2.7738 data_time: 0.2037 memory: 28970 loss_text: 0.2110 loss_kernel: 0.0896 loss: 0.3006 2022/08/26 01:15:05 - mmengine - INFO - Epoch(train) [38][55/63] lr: 1.0000e-04 eta: 1 day, 15:27:48 time: 3.5879 data_time: 0.2336 memory: 28970 loss_text: 0.1867 loss_kernel: 0.0822 loss: 0.2689 2022/08/26 01:15:31 - mmengine - INFO - Epoch(train) [38][60/63] lr: 1.0000e-04 eta: 1 day, 15:31:26 time: 5.7566 data_time: 0.3986 memory: 28970 loss_text: 0.1814 loss_kernel: 0.0792 loss: 0.2606 2022/08/26 01:15:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:17:32 - mmengine - INFO - Epoch(train) [39][5/63] lr: 1.0000e-04 eta: 1 day, 15:31:26 time: 14.3015 data_time: 9.8094 memory: 28970 loss_text: 0.1634 loss_kernel: 0.0721 loss: 0.2355 2022/08/26 01:17:53 - mmengine - INFO - Epoch(train) [39][10/63] lr: 1.0000e-04 eta: 1 day, 15:50:57 time: 13.5337 data_time: 9.7289 memory: 28970 loss_text: 0.1747 loss_kernel: 0.0793 loss: 0.2540 2022/08/26 01:17:57 - mmengine - INFO - Epoch(train) [39][15/63] lr: 1.0000e-04 eta: 1 day, 15:50:57 time: 2.5973 data_time: 0.1540 memory: 28970 loss_text: 0.1691 loss_kernel: 0.0764 loss: 0.2455 2022/08/26 01:18:17 - mmengine - INFO - Epoch(train) [39][20/63] lr: 1.0000e-04 eta: 1 day, 15:46:15 time: 2.4012 data_time: 0.1405 memory: 28970 loss_text: 0.1547 loss_kernel: 0.0690 loss: 0.2237 2022/08/26 01:18:28 - mmengine - INFO - Epoch(train) [39][25/63] lr: 1.0000e-04 eta: 1 day, 15:46:15 time: 3.0253 data_time: 0.1416 memory: 28970 loss_text: 0.1836 loss_kernel: 0.0799 loss: 0.2635 2022/08/26 01:18:41 - mmengine - INFO - Epoch(train) [39][30/63] lr: 1.0000e-04 eta: 1 day, 15:41:37 time: 2.4204 data_time: 0.2146 memory: 28970 loss_text: 0.1996 loss_kernel: 0.0886 loss: 0.2882 2022/08/26 01:19:00 - mmengine - INFO - Epoch(train) [39][35/63] lr: 1.0000e-04 eta: 1 day, 15:41:37 time: 3.1798 data_time: 0.2885 memory: 28970 loss_text: 0.1905 loss_kernel: 0.0834 loss: 0.2739 2022/08/26 01:19:17 - mmengine - INFO - Epoch(train) [39][40/63] lr: 1.0000e-04 eta: 1 day, 15:40:01 time: 3.6605 data_time: 0.1925 memory: 28970 loss_text: 0.2112 loss_kernel: 0.0907 loss: 0.3019 2022/08/26 01:19:30 - mmengine - INFO - Epoch(train) [39][45/63] lr: 1.0000e-04 eta: 1 day, 15:40:01 time: 2.8923 data_time: 0.2445 memory: 28970 loss_text: 0.1952 loss_kernel: 0.0861 loss: 0.2813 2022/08/26 01:19:57 - mmengine - INFO - Epoch(train) [39][50/63] lr: 1.0000e-04 eta: 1 day, 15:39:04 time: 3.9220 data_time: 0.5587 memory: 28970 loss_text: 0.1666 loss_kernel: 0.0748 loss: 0.2414 2022/08/26 01:20:08 - mmengine - INFO - Epoch(train) [39][55/63] lr: 1.0000e-04 eta: 1 day, 15:39:04 time: 3.9224 data_time: 0.4601 memory: 28970 loss_text: 0.1602 loss_kernel: 0.0717 loss: 0.2319 2022/08/26 01:20:32 - mmengine - INFO - Epoch(train) [39][60/63] lr: 1.0000e-04 eta: 1 day, 15:37:14 time: 3.5493 data_time: 0.2206 memory: 28970 loss_text: 0.1655 loss_kernel: 0.0695 loss: 0.2351 2022/08/26 01:20:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:22:48 - mmengine - INFO - Epoch(train) [40][5/63] lr: 1.0000e-04 eta: 1 day, 15:37:14 time: 14.2082 data_time: 9.9103 memory: 28970 loss_text: 0.1870 loss_kernel: 0.0841 loss: 0.2711 2022/08/26 01:22:53 - mmengine - INFO - Epoch(train) [40][10/63] lr: 1.0000e-04 eta: 1 day, 15:51:56 time: 11.7739 data_time: 9.8729 memory: 28970 loss_text: 0.2188 loss_kernel: 0.0957 loss: 0.3145 2022/08/26 01:23:15 - mmengine - INFO - Epoch(train) [40][15/63] lr: 1.0000e-04 eta: 1 day, 15:51:56 time: 2.6268 data_time: 0.0806 memory: 28970 loss_text: 0.2148 loss_kernel: 0.0913 loss: 0.3060 2022/08/26 01:23:20 - mmengine - INFO - Epoch(train) [40][20/63] lr: 1.0000e-04 eta: 1 day, 15:48:01 time: 2.6977 data_time: 0.1452 memory: 28970 loss_text: 0.1858 loss_kernel: 0.0816 loss: 0.2674 2022/08/26 01:23:42 - mmengine - INFO - Epoch(train) [40][25/63] lr: 1.0000e-04 eta: 1 day, 15:48:01 time: 2.7475 data_time: 0.2170 memory: 28970 loss_text: 0.1830 loss_kernel: 0.0825 loss: 0.2656 2022/08/26 01:24:02 - mmengine - INFO - Epoch(train) [40][30/63] lr: 1.0000e-04 eta: 1 day, 15:47:35 time: 4.1609 data_time: 0.1711 memory: 28970 loss_text: 0.1853 loss_kernel: 0.0838 loss: 0.2691 2022/08/26 01:24:14 - mmengine - INFO - Epoch(train) [40][35/63] lr: 1.0000e-04 eta: 1 day, 15:47:35 time: 3.1530 data_time: 0.2007 memory: 28970 loss_text: 0.2027 loss_kernel: 0.0899 loss: 0.2926 2022/08/26 01:24:29 - mmengine - INFO - Epoch(train) [40][40/63] lr: 1.0000e-04 eta: 1 day, 15:43:42 time: 2.6924 data_time: 0.2737 memory: 28970 loss_text: 0.2025 loss_kernel: 0.0889 loss: 0.2914 2022/08/26 01:25:01 - mmengine - INFO - Epoch(train) [40][45/63] lr: 1.0000e-04 eta: 1 day, 15:43:42 time: 4.7754 data_time: 0.2748 memory: 28970 loss_text: 0.1697 loss_kernel: 0.0749 loss: 0.2446 2022/08/26 01:25:07 - mmengine - INFO - Epoch(train) [40][50/63] lr: 1.0000e-04 eta: 1 day, 15:42:26 time: 3.8007 data_time: 0.2370 memory: 28970 loss_text: 0.1542 loss_kernel: 0.0710 loss: 0.2252 2022/08/26 01:25:27 - mmengine - INFO - Epoch(train) [40][55/63] lr: 1.0000e-04 eta: 1 day, 15:42:26 time: 2.5757 data_time: 0.1460 memory: 28970 loss_text: 0.1588 loss_kernel: 0.0734 loss: 0.2321 2022/08/26 01:25:51 - mmengine - INFO - Epoch(train) [40][60/63] lr: 1.0000e-04 eta: 1 day, 15:42:28 time: 4.3552 data_time: 0.1050 memory: 28970 loss_text: 0.1808 loss_kernel: 0.0794 loss: 0.2603 2022/08/26 01:26:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:26:14 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/26 01:27:14 - mmengine - INFO - Epoch(val) [40][5/500] eta: 1 day, 15:42:28 time: 9.8934 data_time: 6.7963 memory: 34288 2022/08/26 01:27:15 - mmengine - INFO - Epoch(val) [40][10/500] eta: 0:41:21 time: 5.0645 data_time: 3.4513 memory: 3207 2022/08/26 01:27:15 - mmengine - INFO - Epoch(val) [40][15/500] eta: 0:41:21 time: 0.1578 data_time: 0.0544 memory: 3207 2022/08/26 01:27:16 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:00:39 time: 0.0816 data_time: 0.0024 memory: 3207 2022/08/26 01:27:16 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:00:39 time: 0.1168 data_time: 0.0024 memory: 3207 2022/08/26 01:27:17 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:00:56 time: 0.1202 data_time: 0.0027 memory: 3207 2022/08/26 01:27:18 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:00:56 time: 0.1105 data_time: 0.0082 memory: 3207 2022/08/26 01:27:18 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:00:51 time: 0.1118 data_time: 0.0081 memory: 3207 2022/08/26 01:27:18 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:00:51 time: 0.0900 data_time: 0.0027 memory: 3207 2022/08/26 01:27:19 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:00:38 time: 0.0855 data_time: 0.0039 memory: 3207 2022/08/26 01:27:19 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:00:38 time: 0.0850 data_time: 0.0040 memory: 3207 2022/08/26 01:27:20 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:00:38 time: 0.0881 data_time: 0.0034 memory: 3207 2022/08/26 01:27:23 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:00:38 time: 0.3508 data_time: 0.0509 memory: 3207 2022/08/26 01:27:23 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:02:30 time: 0.3500 data_time: 0.0502 memory: 3207 2022/08/26 01:27:24 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:02:30 time: 0.1263 data_time: 0.0026 memory: 3207 2022/08/26 01:27:27 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:02:52 time: 0.4118 data_time: 0.0480 memory: 3207 2022/08/26 01:27:28 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:02:52 time: 0.3726 data_time: 0.0499 memory: 3207 2022/08/26 01:27:28 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:00:36 time: 0.0880 data_time: 0.0045 memory: 3207 2022/08/26 01:27:32 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:00:36 time: 0.4186 data_time: 0.0682 memory: 3207 2022/08/26 01:27:39 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:06:32 time: 0.9803 data_time: 0.0759 memory: 3207 2022/08/26 01:27:44 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:06:32 time: 1.1662 data_time: 0.2053 memory: 3207 2022/08/26 01:27:44 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:03:54 time: 0.6004 data_time: 0.1975 memory: 3207 2022/08/26 01:27:45 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:03:54 time: 0.0847 data_time: 0.0026 memory: 3207 2022/08/26 01:27:45 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:33 time: 0.0874 data_time: 0.0052 memory: 3207 2022/08/26 01:27:45 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:33 time: 0.0847 data_time: 0.0049 memory: 3207 2022/08/26 01:27:46 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:00:30 time: 0.0823 data_time: 0.0025 memory: 3207 2022/08/26 01:27:46 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:00:30 time: 0.0882 data_time: 0.0028 memory: 3207 2022/08/26 01:27:47 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:31 time: 0.0875 data_time: 0.0028 memory: 3207 2022/08/26 01:27:48 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:31 time: 0.1214 data_time: 0.0026 memory: 3207 2022/08/26 01:27:49 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:01:02 time: 0.1786 data_time: 0.0380 memory: 3207 2022/08/26 01:27:49 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:01:02 time: 0.1722 data_time: 0.0439 memory: 3207 2022/08/26 01:27:50 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:00:43 time: 0.1268 data_time: 0.0174 memory: 3207 2022/08/26 01:27:50 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:00:43 time: 0.0955 data_time: 0.0116 memory: 3207 2022/08/26 01:27:51 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:00:28 time: 0.0868 data_time: 0.0028 memory: 3207 2022/08/26 01:27:51 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:00:28 time: 0.0828 data_time: 0.0027 memory: 3207 2022/08/26 01:27:52 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:34 time: 0.1064 data_time: 0.0272 memory: 3207 2022/08/26 01:27:57 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:34 time: 0.5884 data_time: 0.0271 memory: 3207 2022/08/26 01:28:03 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:05:46 time: 1.1164 data_time: 0.0415 memory: 3207 2022/08/26 01:28:04 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:05:46 time: 0.6879 data_time: 0.0879 memory: 3207 2022/08/26 01:28:05 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:01:03 time: 0.2118 data_time: 0.0742 memory: 3207 2022/08/26 01:28:05 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:01:03 time: 0.1593 data_time: 0.0278 memory: 3207 2022/08/26 01:28:06 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:00:23 time: 0.0819 data_time: 0.0027 memory: 3207 2022/08/26 01:28:06 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:00:23 time: 0.0867 data_time: 0.0048 memory: 3207 2022/08/26 01:28:07 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:00:33 time: 0.1192 data_time: 0.0047 memory: 3207 2022/08/26 01:28:08 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:00:33 time: 0.1649 data_time: 0.0151 memory: 3207 2022/08/26 01:28:08 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:00:35 time: 0.1310 data_time: 0.0151 memory: 3207 2022/08/26 01:28:09 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:00:35 time: 0.0834 data_time: 0.0028 memory: 3207 2022/08/26 01:28:09 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:22 time: 0.0861 data_time: 0.0028 memory: 3207 2022/08/26 01:28:10 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:22 time: 0.0946 data_time: 0.0026 memory: 3207 2022/08/26 01:28:10 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:23 time: 0.0948 data_time: 0.0025 memory: 3207 2022/08/26 01:28:11 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:23 time: 0.0840 data_time: 0.0026 memory: 3207 2022/08/26 01:28:11 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:00:19 time: 0.0829 data_time: 0.0039 memory: 3207 2022/08/26 01:28:12 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:00:19 time: 0.0989 data_time: 0.0202 memory: 3207 2022/08/26 01:28:12 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:00:22 time: 0.0998 data_time: 0.0189 memory: 3207 2022/08/26 01:28:22 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:00:22 time: 1.0746 data_time: 0.0778 memory: 3207 2022/08/26 01:28:24 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:04:16 time: 1.1637 data_time: 0.1355 memory: 3207 2022/08/26 01:28:24 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:04:16 time: 0.1727 data_time: 0.0604 memory: 3207 2022/08/26 01:28:25 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:00:21 time: 0.1046 data_time: 0.0225 memory: 3207 2022/08/26 01:28:25 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:00:21 time: 0.1072 data_time: 0.0223 memory: 3207 2022/08/26 01:28:26 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:22 time: 0.1149 data_time: 0.0280 memory: 3207 2022/08/26 01:28:26 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:22 time: 0.1126 data_time: 0.0282 memory: 3207 2022/08/26 01:28:27 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:15 time: 0.0825 data_time: 0.0029 memory: 3207 2022/08/26 01:28:27 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:15 time: 0.0853 data_time: 0.0028 memory: 3207 2022/08/26 01:28:27 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:15 time: 0.0858 data_time: 0.0026 memory: 3207 2022/08/26 01:28:28 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:15 time: 0.0960 data_time: 0.0027 memory: 3207 2022/08/26 01:28:28 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:16 time: 0.0961 data_time: 0.0028 memory: 3207 2022/08/26 01:28:29 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:16 time: 0.0822 data_time: 0.0028 memory: 3207 2022/08/26 01:28:29 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:14 time: 0.0909 data_time: 0.0028 memory: 3207 2022/08/26 01:28:30 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:14 time: 0.1017 data_time: 0.0028 memory: 3207 2022/08/26 01:28:30 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:14 time: 0.0989 data_time: 0.0029 memory: 3207 2022/08/26 01:28:31 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:14 time: 0.1262 data_time: 0.0031 memory: 3207 2022/08/26 01:28:32 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:19 time: 0.1359 data_time: 0.0180 memory: 3207 2022/08/26 01:28:32 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:19 time: 0.1055 data_time: 0.0177 memory: 3207 2022/08/26 01:28:43 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:02:20 time: 1.0771 data_time: 0.3115 memory: 3207 2022/08/26 01:28:43 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:02:20 time: 1.1240 data_time: 0.3673 memory: 3207 2022/08/26 01:28:44 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:19 time: 0.1660 data_time: 0.0669 memory: 3207 2022/08/26 01:28:45 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:19 time: 0.1232 data_time: 0.0111 memory: 3207 2022/08/26 01:28:45 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:10 time: 0.0988 data_time: 0.0075 memory: 3207 2022/08/26 01:28:46 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:10 time: 0.0873 data_time: 0.0075 memory: 3207 2022/08/26 01:28:46 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:08 time: 0.0839 data_time: 0.0027 memory: 3207 2022/08/26 01:28:46 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:08 time: 0.0844 data_time: 0.0026 memory: 3207 2022/08/26 01:28:47 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:07 time: 0.0855 data_time: 0.0025 memory: 3207 2022/08/26 01:28:47 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:07 time: 0.0891 data_time: 0.0070 memory: 3207 2022/08/26 01:28:48 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:06 time: 0.0844 data_time: 0.0071 memory: 3207 2022/08/26 01:28:48 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:06 time: 0.0803 data_time: 0.0026 memory: 3207 2022/08/26 01:28:48 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:05 time: 0.0836 data_time: 0.0027 memory: 3207 2022/08/26 01:28:49 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:05 time: 0.0830 data_time: 0.0027 memory: 3207 2022/08/26 01:28:49 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:04 time: 0.0820 data_time: 0.0026 memory: 3207 2022/08/26 01:28:50 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:04 time: 0.0855 data_time: 0.0026 memory: 3207 2022/08/26 01:28:50 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:05 time: 0.1007 data_time: 0.0026 memory: 3207 2022/08/26 01:28:52 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:05 time: 0.2132 data_time: 0.0028 memory: 3207 2022/08/26 01:29:04 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:54 time: 1.3617 data_time: 0.4175 memory: 3207 2022/08/26 01:29:05 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:54 time: 1.3330 data_time: 0.4741 memory: 3207 2022/08/26 01:29:06 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:05 time: 0.1686 data_time: 0.0595 memory: 3207 2022/08/26 01:29:06 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:05 time: 0.0808 data_time: 0.0026 memory: 3207 2022/08/26 01:29:06 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:01 time: 0.0819 data_time: 0.0026 memory: 3207 2022/08/26 01:29:07 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:01 time: 0.0834 data_time: 0.0027 memory: 3207 2022/08/26 01:29:07 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0846 data_time: 0.0026 memory: 3207 2022/08/26 01:29:08 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0856 data_time: 0.0027 memory: 3207 2022/08/26 01:29:08 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.0825 data_time: 0.0027 memory: 3207 2022/08/26 01:29:08 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 01:29:08 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.6996, precision: 0.5987, hmean: 0.6452 2022/08/26 01:29:08 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.6996, precision: 0.5987, hmean: 0.6452 2022/08/26 01:29:08 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.6996, precision: 0.5987, hmean: 0.6452 2022/08/26 01:29:08 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6991, precision: 0.6471, hmean: 0.6721 2022/08/26 01:29:08 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6957, precision: 0.7136, hmean: 0.7045 2022/08/26 01:29:08 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6798, precision: 0.7780, hmean: 0.7256 2022/08/26 01:29:08 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6023, precision: 0.8651, hmean: 0.7102 2022/08/26 01:29:08 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.7780 icdar/recall: 0.6798 icdar/hmean: 0.7256 2022/08/26 01:31:03 - mmengine - INFO - Epoch(train) [41][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 13.8920 data_time: 9.8789 memory: 28971 loss_text: 0.1685 loss_kernel: 0.0765 loss: 0.2450 2022/08/26 01:31:18 - mmengine - INFO - Epoch(train) [41][10/63] lr: 1.0000e-04 eta: 1 day, 15:59:21 time: 12.9084 data_time: 9.8455 memory: 28971 loss_text: 0.1842 loss_kernel: 0.0818 loss: 0.2660 2022/08/26 01:31:28 - mmengine - INFO - Epoch(train) [41][15/63] lr: 1.0000e-04 eta: 1 day, 15:59:21 time: 2.4751 data_time: 0.1454 memory: 28971 loss_text: 0.1747 loss_kernel: 0.0751 loss: 0.2498 2022/08/26 01:31:33 - mmengine - INFO - Epoch(train) [41][20/63] lr: 1.0000e-04 eta: 1 day, 15:52:39 time: 1.4787 data_time: 0.1151 memory: 28971 loss_text: 0.1760 loss_kernel: 0.0761 loss: 0.2521 2022/08/26 01:31:58 - mmengine - INFO - Epoch(train) [41][25/63] lr: 1.0000e-04 eta: 1 day, 15:52:39 time: 3.0083 data_time: 0.1646 memory: 28971 loss_text: 0.1898 loss_kernel: 0.0858 loss: 0.2756 2022/08/26 01:32:03 - mmengine - INFO - Epoch(train) [41][30/63] lr: 1.0000e-04 eta: 1 day, 15:49:38 time: 3.0588 data_time: 0.1800 memory: 28971 loss_text: 0.1881 loss_kernel: 0.0838 loss: 0.2719 2022/08/26 01:32:25 - mmengine - INFO - Epoch(train) [41][35/63] lr: 1.0000e-04 eta: 1 day, 15:49:38 time: 2.7557 data_time: 0.1372 memory: 28971 loss_text: 0.1885 loss_kernel: 0.0819 loss: 0.2704 2022/08/26 01:32:44 - mmengine - INFO - Epoch(train) [41][40/63] lr: 1.0000e-04 eta: 1 day, 15:49:01 time: 4.0920 data_time: 0.1355 memory: 28971 loss_text: 0.2125 loss_kernel: 0.0928 loss: 0.3053 2022/08/26 01:32:50 - mmengine - INFO - Epoch(train) [41][45/63] lr: 1.0000e-04 eta: 1 day, 15:49:01 time: 2.4792 data_time: 0.1989 memory: 28971 loss_text: 0.2100 loss_kernel: 0.0919 loss: 0.3020 2022/08/26 01:33:09 - mmengine - INFO - Epoch(train) [41][50/63] lr: 1.0000e-04 eta: 1 day, 15:44:44 time: 2.4925 data_time: 0.1652 memory: 28971 loss_text: 0.1698 loss_kernel: 0.0739 loss: 0.2437 2022/08/26 01:33:15 - mmengine - INFO - Epoch(train) [41][55/63] lr: 1.0000e-04 eta: 1 day, 15:44:44 time: 2.5021 data_time: 0.1504 memory: 28971 loss_text: 0.1838 loss_kernel: 0.0784 loss: 0.2622 2022/08/26 01:33:36 - mmengine - INFO - Epoch(train) [41][60/63] lr: 1.0000e-04 eta: 1 day, 15:40:49 time: 2.6393 data_time: 0.2541 memory: 28971 loss_text: 0.1867 loss_kernel: 0.0800 loss: 0.2667 2022/08/26 01:33:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:35:33 - mmengine - INFO - Epoch(train) [42][5/63] lr: 1.0000e-04 eta: 1 day, 15:40:49 time: 13.3711 data_time: 9.7776 memory: 28971 loss_text: 0.1633 loss_kernel: 0.0728 loss: 0.2361 2022/08/26 01:35:38 - mmengine - INFO - Epoch(train) [42][10/63] lr: 1.0000e-04 eta: 1 day, 15:54:42 time: 11.7941 data_time: 9.6480 memory: 28971 loss_text: 0.1846 loss_kernel: 0.0791 loss: 0.2636 2022/08/26 01:35:53 - mmengine - INFO - Epoch(train) [42][15/63] lr: 1.0000e-04 eta: 1 day, 15:54:42 time: 1.9320 data_time: 0.1071 memory: 28971 loss_text: 0.1612 loss_kernel: 0.0697 loss: 0.2309 2022/08/26 01:36:09 - mmengine - INFO - Epoch(train) [42][20/63] lr: 1.0000e-04 eta: 1 day, 15:51:47 time: 3.0878 data_time: 0.2094 memory: 28971 loss_text: 0.1709 loss_kernel: 0.0768 loss: 0.2476 2022/08/26 01:36:18 - mmengine - INFO - Epoch(train) [42][25/63] lr: 1.0000e-04 eta: 1 day, 15:51:47 time: 2.5802 data_time: 0.4118 memory: 28971 loss_text: 0.1895 loss_kernel: 0.0853 loss: 0.2749 2022/08/26 01:36:23 - mmengine - INFO - Epoch(train) [42][30/63] lr: 1.0000e-04 eta: 1 day, 15:45:13 time: 1.4550 data_time: 0.2856 memory: 28971 loss_text: 0.1824 loss_kernel: 0.0809 loss: 0.2633 2022/08/26 01:36:45 - mmengine - INFO - Epoch(train) [42][35/63] lr: 1.0000e-04 eta: 1 day, 15:45:13 time: 2.6314 data_time: 0.1508 memory: 28971 loss_text: 0.1770 loss_kernel: 0.0769 loss: 0.2538 2022/08/26 01:37:03 - mmengine - INFO - Epoch(train) [42][40/63] lr: 1.0000e-04 eta: 1 day, 15:44:11 time: 3.9050 data_time: 0.1766 memory: 28971 loss_text: 0.1937 loss_kernel: 0.0843 loss: 0.2780 2022/08/26 01:37:12 - mmengine - INFO - Epoch(train) [42][45/63] lr: 1.0000e-04 eta: 1 day, 15:44:11 time: 2.7740 data_time: 0.1620 memory: 28971 loss_text: 0.2173 loss_kernel: 0.0961 loss: 0.3134 2022/08/26 01:37:27 - mmengine - INFO - Epoch(train) [42][50/63] lr: 1.0000e-04 eta: 1 day, 15:39:42 time: 2.3625 data_time: 0.1768 memory: 28971 loss_text: 0.1853 loss_kernel: 0.0826 loss: 0.2679 2022/08/26 01:37:34 - mmengine - INFO - Epoch(train) [42][55/63] lr: 1.0000e-04 eta: 1 day, 15:39:42 time: 2.1773 data_time: 0.3053 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0657 loss: 0.2118 2022/08/26 01:37:40 - mmengine - INFO - Epoch(train) [42][60/63] lr: 1.0000e-04 eta: 1 day, 15:33:01 time: 1.3497 data_time: 0.2813 memory: 28971 loss_text: 0.1546 loss_kernel: 0.0680 loss: 0.2226 2022/08/26 01:37:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:39:50 - mmengine - INFO - Epoch(train) [43][5/63] lr: 1.0000e-04 eta: 1 day, 15:33:01 time: 13.3240 data_time: 9.4938 memory: 28971 loss_text: 0.1764 loss_kernel: 0.0776 loss: 0.2539 2022/08/26 01:40:04 - mmengine - INFO - Epoch(train) [43][10/63] lr: 1.0000e-04 eta: 1 day, 15:48:09 time: 12.5264 data_time: 9.5063 memory: 28971 loss_text: 0.1836 loss_kernel: 0.0798 loss: 0.2634 2022/08/26 01:40:08 - mmengine - INFO - Epoch(train) [43][15/63] lr: 1.0000e-04 eta: 1 day, 15:48:09 time: 1.8510 data_time: 0.1293 memory: 28971 loss_text: 0.1856 loss_kernel: 0.0801 loss: 0.2657 2022/08/26 01:40:13 - mmengine - INFO - Epoch(train) [43][20/63] lr: 1.0000e-04 eta: 1 day, 15:40:37 time: 0.9534 data_time: 0.0636 memory: 28971 loss_text: 0.1780 loss_kernel: 0.0764 loss: 0.2544 2022/08/26 01:40:22 - mmengine - INFO - Epoch(train) [43][25/63] lr: 1.0000e-04 eta: 1 day, 15:40:37 time: 1.3162 data_time: 0.0233 memory: 28971 loss_text: 0.1944 loss_kernel: 0.0843 loss: 0.2787 2022/08/26 01:40:26 - mmengine - INFO - Epoch(train) [43][30/63] lr: 1.0000e-04 eta: 1 day, 15:33:52 time: 1.2931 data_time: 0.0463 memory: 28971 loss_text: 0.1899 loss_kernel: 0.0836 loss: 0.2735 2022/08/26 01:40:31 - mmengine - INFO - Epoch(train) [43][35/63] lr: 1.0000e-04 eta: 1 day, 15:33:52 time: 1.0032 data_time: 0.0583 memory: 28971 loss_text: 0.1511 loss_kernel: 0.0668 loss: 0.2180 2022/08/26 01:40:43 - mmengine - INFO - Epoch(train) [43][40/63] lr: 1.0000e-04 eta: 1 day, 15:27:54 time: 1.6233 data_time: 0.0384 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0703 loss: 0.2324 2022/08/26 01:40:47 - mmengine - INFO - Epoch(train) [43][45/63] lr: 1.0000e-04 eta: 1 day, 15:27:54 time: 1.5464 data_time: 0.0674 memory: 28971 loss_text: 0.1758 loss_kernel: 0.0756 loss: 0.2513 2022/08/26 01:40:52 - mmengine - INFO - Epoch(train) [43][50/63] lr: 1.0000e-04 eta: 1 day, 15:20:29 time: 0.9405 data_time: 0.0649 memory: 28971 loss_text: 0.1834 loss_kernel: 0.0808 loss: 0.2643 2022/08/26 01:41:01 - mmengine - INFO - Epoch(train) [43][55/63] lr: 1.0000e-04 eta: 1 day, 15:20:29 time: 1.4324 data_time: 0.0355 memory: 28971 loss_text: 0.1983 loss_kernel: 0.0869 loss: 0.2853 2022/08/26 01:41:09 - mmengine - INFO - Epoch(train) [43][60/63] lr: 1.0000e-04 eta: 1 day, 15:14:43 time: 1.6776 data_time: 0.0588 memory: 28971 loss_text: 0.2037 loss_kernel: 0.0895 loss: 0.2933 2022/08/26 01:41:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:42:48 - mmengine - INFO - Epoch(train) [44][5/63] lr: 1.0000e-04 eta: 1 day, 15:14:43 time: 10.1656 data_time: 8.6050 memory: 28971 loss_text: 0.1821 loss_kernel: 0.0769 loss: 0.2590 2022/08/26 01:42:53 - mmengine - INFO - Epoch(train) [44][10/63] lr: 1.0000e-04 eta: 1 day, 15:24:19 time: 10.1046 data_time: 8.6045 memory: 28971 loss_text: 0.1730 loss_kernel: 0.0731 loss: 0.2461 2022/08/26 01:42:58 - mmengine - INFO - Epoch(train) [44][15/63] lr: 1.0000e-04 eta: 1 day, 15:24:19 time: 0.9482 data_time: 0.0489 memory: 28971 loss_text: 0.1734 loss_kernel: 0.0770 loss: 0.2505 2022/08/26 01:43:04 - mmengine - INFO - Epoch(train) [44][20/63] lr: 1.0000e-04 eta: 1 day, 15:17:19 time: 1.0847 data_time: 0.0760 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0685 loss: 0.2265 2022/08/26 01:43:11 - mmengine - INFO - Epoch(train) [44][25/63] lr: 1.0000e-04 eta: 1 day, 15:17:19 time: 1.2723 data_time: 0.0810 memory: 28971 loss_text: 0.1623 loss_kernel: 0.0694 loss: 0.2317 2022/08/26 01:43:21 - mmengine - INFO - Epoch(train) [44][30/63] lr: 1.0000e-04 eta: 1 day, 15:11:38 time: 1.6866 data_time: 0.0514 memory: 28971 loss_text: 0.1880 loss_kernel: 0.0818 loss: 0.2698 2022/08/26 01:43:26 - mmengine - INFO - Epoch(train) [44][35/63] lr: 1.0000e-04 eta: 1 day, 15:11:38 time: 1.5639 data_time: 0.0561 memory: 28971 loss_text: 0.1892 loss_kernel: 0.0853 loss: 0.2745 2022/08/26 01:43:40 - mmengine - INFO - Epoch(train) [44][40/63] lr: 1.0000e-04 eta: 1 day, 15:06:32 time: 1.9387 data_time: 0.0816 memory: 28971 loss_text: 0.1752 loss_kernel: 0.0767 loss: 0.2519 2022/08/26 01:43:44 - mmengine - INFO - Epoch(train) [44][45/63] lr: 1.0000e-04 eta: 1 day, 15:06:32 time: 1.8207 data_time: 0.0747 memory: 28971 loss_text: 0.1818 loss_kernel: 0.0794 loss: 0.2612 2022/08/26 01:43:54 - mmengine - INFO - Epoch(train) [44][50/63] lr: 1.0000e-04 eta: 1 day, 15:00:17 time: 1.3846 data_time: 0.0545 memory: 28971 loss_text: 0.1588 loss_kernel: 0.0688 loss: 0.2276 2022/08/26 01:44:00 - mmengine - INFO - Epoch(train) [44][55/63] lr: 1.0000e-04 eta: 1 day, 15:00:17 time: 1.5132 data_time: 0.0685 memory: 28971 loss_text: 0.1689 loss_kernel: 0.0701 loss: 0.2390 2022/08/26 01:44:10 - mmengine - INFO - Epoch(train) [44][60/63] lr: 1.0000e-04 eta: 1 day, 14:54:40 time: 1.6571 data_time: 0.1031 memory: 28971 loss_text: 0.2106 loss_kernel: 0.0892 loss: 0.2998 2022/08/26 01:44:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:45:58 - mmengine - INFO - Epoch(train) [45][5/63] lr: 1.0000e-04 eta: 1 day, 14:54:40 time: 10.9462 data_time: 9.3063 memory: 28971 loss_text: 0.1963 loss_kernel: 0.0852 loss: 0.2816 2022/08/26 01:46:04 - mmengine - INFO - Epoch(train) [45][10/63] lr: 1.0000e-04 eta: 1 day, 15:06:07 time: 11.0687 data_time: 9.3563 memory: 28971 loss_text: 0.1911 loss_kernel: 0.0841 loss: 0.2752 2022/08/26 01:46:24 - mmengine - INFO - Epoch(train) [45][15/63] lr: 1.0000e-04 eta: 1 day, 15:06:07 time: 2.5522 data_time: 0.1024 memory: 28971 loss_text: 0.1601 loss_kernel: 0.0724 loss: 0.2326 2022/08/26 01:46:34 - mmengine - INFO - Epoch(train) [45][20/63] lr: 1.0000e-04 eta: 1 day, 15:03:22 time: 3.0254 data_time: 0.1613 memory: 28971 loss_text: 0.1507 loss_kernel: 0.0678 loss: 0.2184 2022/08/26 01:46:53 - mmengine - INFO - Epoch(train) [45][25/63] lr: 1.0000e-04 eta: 1 day, 15:03:22 time: 2.9037 data_time: 0.2351 memory: 28971 loss_text: 0.1600 loss_kernel: 0.0712 loss: 0.2311 2022/08/26 01:47:02 - mmengine - INFO - Epoch(train) [45][30/63] lr: 1.0000e-04 eta: 1 day, 15:00:09 time: 2.7926 data_time: 0.2281 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0691 loss: 0.2302 2022/08/26 01:47:25 - mmengine - INFO - Epoch(train) [45][35/63] lr: 1.0000e-04 eta: 1 day, 15:00:09 time: 3.2677 data_time: 0.2869 memory: 28971 loss_text: 0.1834 loss_kernel: 0.0773 loss: 0.2607 2022/08/26 01:47:30 - mmengine - INFO - Epoch(train) [45][40/63] lr: 1.0000e-04 eta: 1 day, 14:57:01 time: 2.8283 data_time: 0.2344 memory: 28971 loss_text: 0.1834 loss_kernel: 0.0799 loss: 0.2633 2022/08/26 01:47:49 - mmengine - INFO - Epoch(train) [45][45/63] lr: 1.0000e-04 eta: 1 day, 14:57:01 time: 2.3446 data_time: 0.1379 memory: 28971 loss_text: 0.1620 loss_kernel: 0.0711 loss: 0.2331 2022/08/26 01:47:54 - mmengine - INFO - Epoch(train) [45][50/63] lr: 1.0000e-04 eta: 1 day, 14:52:53 time: 2.3278 data_time: 0.1186 memory: 28971 loss_text: 0.1636 loss_kernel: 0.0696 loss: 0.2333 2022/08/26 01:48:13 - mmengine - INFO - Epoch(train) [45][55/63] lr: 1.0000e-04 eta: 1 day, 14:52:53 time: 2.4632 data_time: 0.1171 memory: 28971 loss_text: 0.1751 loss_kernel: 0.0749 loss: 0.2500 2022/08/26 01:48:20 - mmengine - INFO - Epoch(train) [45][60/63] lr: 1.0000e-04 eta: 1 day, 14:49:27 time: 2.6552 data_time: 0.1971 memory: 28971 loss_text: 0.1806 loss_kernel: 0.0814 loss: 0.2620 2022/08/26 01:48:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:50:30 - mmengine - INFO - Epoch(train) [46][5/63] lr: 1.0000e-04 eta: 1 day, 14:49:27 time: 13.1470 data_time: 9.6788 memory: 28971 loss_text: 0.1983 loss_kernel: 0.0878 loss: 0.2861 2022/08/26 01:50:51 - mmengine - INFO - Epoch(train) [46][10/63] lr: 1.0000e-04 eta: 1 day, 15:04:56 time: 13.1790 data_time: 9.7436 memory: 28971 loss_text: 0.1865 loss_kernel: 0.0818 loss: 0.2683 2022/08/26 01:50:56 - mmengine - INFO - Epoch(train) [46][15/63] lr: 1.0000e-04 eta: 1 day, 15:04:56 time: 2.5844 data_time: 0.2008 memory: 28971 loss_text: 0.1710 loss_kernel: 0.0777 loss: 0.2487 2022/08/26 01:51:14 - mmengine - INFO - Epoch(train) [46][20/63] lr: 1.0000e-04 eta: 1 day, 15:00:51 time: 2.3557 data_time: 0.3095 memory: 28971 loss_text: 0.1585 loss_kernel: 0.0723 loss: 0.2308 2022/08/26 01:51:19 - mmengine - INFO - Epoch(train) [46][25/63] lr: 1.0000e-04 eta: 1 day, 15:00:51 time: 2.3198 data_time: 0.2706 memory: 28971 loss_text: 0.1499 loss_kernel: 0.0673 loss: 0.2172 2022/08/26 01:51:39 - mmengine - INFO - Epoch(train) [46][30/63] lr: 1.0000e-04 eta: 1 day, 14:57:02 time: 2.4727 data_time: 0.2015 memory: 28971 loss_text: 0.1690 loss_kernel: 0.0770 loss: 0.2460 2022/08/26 01:51:43 - mmengine - INFO - Epoch(train) [46][35/63] lr: 1.0000e-04 eta: 1 day, 14:57:02 time: 2.4440 data_time: 0.1953 memory: 28971 loss_text: 0.1555 loss_kernel: 0.0713 loss: 0.2268 2022/08/26 01:52:00 - mmengine - INFO - Epoch(train) [46][40/63] lr: 1.0000e-04 eta: 1 day, 14:52:33 time: 2.1245 data_time: 0.1085 memory: 28971 loss_text: 0.1632 loss_kernel: 0.0736 loss: 0.2368 2022/08/26 01:52:12 - mmengine - INFO - Epoch(train) [46][45/63] lr: 1.0000e-04 eta: 1 day, 14:52:33 time: 2.8489 data_time: 0.1089 memory: 28971 loss_text: 0.1594 loss_kernel: 0.0717 loss: 0.2311 2022/08/26 01:52:26 - mmengine - INFO - Epoch(train) [46][50/63] lr: 1.0000e-04 eta: 1 day, 14:49:05 time: 2.6237 data_time: 0.2005 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0644 loss: 0.2147 2022/08/26 01:52:48 - mmengine - INFO - Epoch(train) [46][55/63] lr: 1.0000e-04 eta: 1 day, 14:49:05 time: 3.5925 data_time: 0.2073 memory: 28971 loss_text: 0.1689 loss_kernel: 0.0715 loss: 0.2404 2022/08/26 01:52:54 - mmengine - INFO - Epoch(train) [46][60/63] lr: 1.0000e-04 eta: 1 day, 14:45:58 time: 2.7828 data_time: 0.1069 memory: 28971 loss_text: 0.1900 loss_kernel: 0.0807 loss: 0.2707 2022/08/26 01:53:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:55:24 - mmengine - INFO - Epoch(train) [47][5/63] lr: 1.0000e-04 eta: 1 day, 14:45:58 time: 15.2162 data_time: 9.9244 memory: 28971 loss_text: 0.2019 loss_kernel: 0.0864 loss: 0.2883 2022/08/26 01:55:41 - mmengine - INFO - Epoch(train) [47][10/63] lr: 1.0000e-04 eta: 1 day, 15:01:44 time: 13.5119 data_time: 9.9396 memory: 28971 loss_text: 0.1722 loss_kernel: 0.0754 loss: 0.2477 2022/08/26 01:55:52 - mmengine - INFO - Epoch(train) [47][15/63] lr: 1.0000e-04 eta: 1 day, 15:01:44 time: 2.7915 data_time: 0.2296 memory: 28971 loss_text: 0.1805 loss_kernel: 0.0798 loss: 0.2602 2022/08/26 01:55:56 - mmengine - INFO - Epoch(train) [47][20/63] lr: 1.0000e-04 eta: 1 day, 14:56:20 time: 1.6567 data_time: 0.2457 memory: 28971 loss_text: 0.2073 loss_kernel: 0.0890 loss: 0.2963 2022/08/26 01:56:11 - mmengine - INFO - Epoch(train) [47][25/63] lr: 1.0000e-04 eta: 1 day, 14:56:20 time: 1.9167 data_time: 0.1211 memory: 28971 loss_text: 0.2168 loss_kernel: 0.0947 loss: 0.3115 2022/08/26 01:56:16 - mmengine - INFO - Epoch(train) [47][30/63] lr: 1.0000e-04 eta: 1 day, 14:51:34 time: 1.9566 data_time: 0.1070 memory: 28971 loss_text: 0.2173 loss_kernel: 0.0945 loss: 0.3118 2022/08/26 01:56:34 - mmengine - INFO - Epoch(train) [47][35/63] lr: 1.0000e-04 eta: 1 day, 14:51:34 time: 2.3123 data_time: 0.0789 memory: 28971 loss_text: 0.2039 loss_kernel: 0.0839 loss: 0.2878 2022/08/26 01:56:39 - mmengine - INFO - Epoch(train) [47][40/63] lr: 1.0000e-04 eta: 1 day, 14:47:30 time: 2.2936 data_time: 0.0977 memory: 28971 loss_text: 0.1740 loss_kernel: 0.0702 loss: 0.2442 2022/08/26 01:56:59 - mmengine - INFO - Epoch(train) [47][45/63] lr: 1.0000e-04 eta: 1 day, 14:47:30 time: 2.4611 data_time: 0.1223 memory: 28971 loss_text: 0.1540 loss_kernel: 0.0678 loss: 0.2218 2022/08/26 01:57:03 - mmengine - INFO - Epoch(train) [47][50/63] lr: 1.0000e-04 eta: 1 day, 14:43:46 time: 2.4463 data_time: 0.0966 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0661 loss: 0.2097 2022/08/26 01:57:27 - mmengine - INFO - Epoch(train) [47][55/63] lr: 1.0000e-04 eta: 1 day, 14:43:46 time: 2.7568 data_time: 0.2041 memory: 28971 loss_text: 0.1597 loss_kernel: 0.0714 loss: 0.2311 2022/08/26 01:57:31 - mmengine - INFO - Epoch(train) [47][60/63] lr: 1.0000e-04 eta: 1 day, 14:40:46 time: 2.8152 data_time: 0.2717 memory: 28971 loss_text: 0.1829 loss_kernel: 0.0822 loss: 0.2650 2022/08/26 01:57:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 01:59:54 - mmengine - INFO - Epoch(train) [48][5/63] lr: 1.0000e-04 eta: 1 day, 14:40:46 time: 14.3510 data_time: 9.9391 memory: 28971 loss_text: 0.1652 loss_kernel: 0.0749 loss: 0.2401 2022/08/26 02:00:50 - mmengine - INFO - Epoch(train) [48][10/63] lr: 1.0000e-04 eta: 1 day, 15:03:43 time: 17.3821 data_time: 10.0505 memory: 28971 loss_text: 0.1637 loss_kernel: 0.0727 loss: 0.2364 2022/08/26 02:00:55 - mmengine - INFO - Epoch(train) [48][15/63] lr: 1.0000e-04 eta: 1 day, 15:03:43 time: 6.0706 data_time: 0.2143 memory: 28971 loss_text: 0.1594 loss_kernel: 0.0728 loss: 0.2322 2022/08/26 02:01:22 - mmengine - INFO - Epoch(train) [48][20/63] lr: 1.0000e-04 eta: 1 day, 15:01:21 time: 3.1698 data_time: 0.1980 memory: 28971 loss_text: 0.1886 loss_kernel: 0.0861 loss: 0.2747 2022/08/26 02:01:29 - mmengine - INFO - Epoch(train) [48][25/63] lr: 1.0000e-04 eta: 1 day, 15:01:21 time: 3.3961 data_time: 0.3354 memory: 28971 loss_text: 0.1923 loss_kernel: 0.0869 loss: 0.2792 2022/08/26 02:02:01 - mmengine - INFO - Epoch(train) [48][30/63] lr: 1.0000e-04 eta: 1 day, 15:00:25 time: 3.8983 data_time: 0.3194 memory: 28971 loss_text: 0.1905 loss_kernel: 0.0847 loss: 0.2752 2022/08/26 02:02:26 - mmengine - INFO - Epoch(train) [48][35/63] lr: 1.0000e-04 eta: 1 day, 15:00:25 time: 5.6482 data_time: 0.1927 memory: 28971 loss_text: 0.1801 loss_kernel: 0.0792 loss: 0.2594 2022/08/26 02:02:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:02:35 - mmengine - INFO - Epoch(train) [48][40/63] lr: 1.0000e-04 eta: 1 day, 14:58:36 time: 3.4406 data_time: 0.2815 memory: 28971 loss_text: 0.1745 loss_kernel: 0.0777 loss: 0.2522 2022/08/26 02:03:02 - mmengine - INFO - Epoch(train) [48][45/63] lr: 1.0000e-04 eta: 1 day, 14:58:36 time: 3.6253 data_time: 0.2652 memory: 28971 loss_text: 0.1946 loss_kernel: 0.0857 loss: 0.2803 2022/08/26 02:03:37 - mmengine - INFO - Epoch(train) [48][50/63] lr: 1.0000e-04 eta: 1 day, 15:02:00 time: 6.1496 data_time: 0.3050 memory: 28971 loss_text: 0.1851 loss_kernel: 0.0808 loss: 0.2659 2022/08/26 02:03:42 - mmengine - INFO - Epoch(train) [48][55/63] lr: 1.0000e-04 eta: 1 day, 15:02:00 time: 3.9970 data_time: 0.3114 memory: 28971 loss_text: 0.1604 loss_kernel: 0.0701 loss: 0.2304 2022/08/26 02:04:02 - mmengine - INFO - Epoch(train) [48][60/63] lr: 1.0000e-04 eta: 1 day, 14:58:28 time: 2.5467 data_time: 0.1127 memory: 28971 loss_text: 0.1526 loss_kernel: 0.0675 loss: 0.2201 2022/08/26 02:04:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:06:33 - mmengine - INFO - Epoch(train) [49][5/63] lr: 1.0000e-04 eta: 1 day, 14:58:28 time: 16.6357 data_time: 10.9976 memory: 28971 loss_text: 0.1777 loss_kernel: 0.0804 loss: 0.2581 2022/08/26 02:06:49 - mmengine - INFO - Epoch(train) [49][10/63] lr: 1.0000e-04 eta: 1 day, 15:17:59 time: 15.9246 data_time: 10.9165 memory: 28971 loss_text: 0.1883 loss_kernel: 0.0838 loss: 0.2721 2022/08/26 02:06:56 - mmengine - INFO - Epoch(train) [49][15/63] lr: 1.0000e-04 eta: 1 day, 15:17:59 time: 2.3184 data_time: 0.3595 memory: 28971 loss_text: 0.1898 loss_kernel: 0.0832 loss: 0.2730 2022/08/26 02:07:01 - mmengine - INFO - Epoch(train) [49][20/63] lr: 1.0000e-04 eta: 1 day, 15:12:02 time: 1.2999 data_time: 0.3240 memory: 28971 loss_text: 0.1665 loss_kernel: 0.0740 loss: 0.2404 2022/08/26 02:07:28 - mmengine - INFO - Epoch(train) [49][25/63] lr: 1.0000e-04 eta: 1 day, 15:12:02 time: 3.1433 data_time: 0.1007 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0659 loss: 0.2144 2022/08/26 02:07:44 - mmengine - INFO - Epoch(train) [49][30/63] lr: 1.0000e-04 eta: 1 day, 15:11:42 time: 4.2344 data_time: 0.1823 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0605 loss: 0.2035 2022/08/26 02:07:56 - mmengine - INFO - Epoch(train) [49][35/63] lr: 1.0000e-04 eta: 1 day, 15:11:42 time: 2.7967 data_time: 0.2847 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0617 loss: 0.2076 2022/08/26 02:08:16 - mmengine - INFO - Epoch(train) [49][40/63] lr: 1.0000e-04 eta: 1 day, 15:09:38 time: 3.3244 data_time: 0.4621 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0692 loss: 0.2303 2022/08/26 02:08:22 - mmengine - INFO - Epoch(train) [49][45/63] lr: 1.0000e-04 eta: 1 day, 15:09:38 time: 2.6292 data_time: 0.4269 memory: 28971 loss_text: 0.1721 loss_kernel: 0.0742 loss: 0.2463 2022/08/26 02:08:42 - mmengine - INFO - Epoch(train) [49][50/63] lr: 1.0000e-04 eta: 1 day, 15:06:04 time: 2.5256 data_time: 0.3025 memory: 28971 loss_text: 0.1772 loss_kernel: 0.0789 loss: 0.2561 2022/08/26 02:08:46 - mmengine - INFO - Epoch(train) [49][55/63] lr: 1.0000e-04 eta: 1 day, 15:06:04 time: 2.4250 data_time: 0.2152 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0715 loss: 0.2301 2022/08/26 02:09:05 - mmengine - INFO - Epoch(train) [49][60/63] lr: 1.0000e-04 eta: 1 day, 15:02:11 time: 2.3443 data_time: 0.0958 memory: 28971 loss_text: 0.1863 loss_kernel: 0.0824 loss: 0.2687 2022/08/26 02:09:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:11:10 - mmengine - INFO - Epoch(train) [50][5/63] lr: 1.0000e-04 eta: 1 day, 15:02:11 time: 14.1225 data_time: 9.9732 memory: 28971 loss_text: 0.1734 loss_kernel: 0.0760 loss: 0.2495 2022/08/26 02:11:31 - mmengine - INFO - Epoch(train) [50][10/63] lr: 1.0000e-04 eta: 1 day, 15:17:47 time: 14.0911 data_time: 10.0800 memory: 28971 loss_text: 0.1519 loss_kernel: 0.0663 loss: 0.2182 2022/08/26 02:11:36 - mmengine - INFO - Epoch(train) [50][15/63] lr: 1.0000e-04 eta: 1 day, 15:17:47 time: 2.5587 data_time: 0.2815 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0634 loss: 0.2085 2022/08/26 02:11:55 - mmengine - INFO - Epoch(train) [50][20/63] lr: 1.0000e-04 eta: 1 day, 15:14:02 time: 2.4199 data_time: 0.1877 memory: 28971 loss_text: 0.1740 loss_kernel: 0.0758 loss: 0.2498 2022/08/26 02:12:01 - mmengine - INFO - Epoch(train) [50][25/63] lr: 1.0000e-04 eta: 1 day, 15:14:02 time: 2.4915 data_time: 0.1838 memory: 28971 loss_text: 0.1919 loss_kernel: 0.0849 loss: 0.2767 2022/08/26 02:12:19 - mmengine - INFO - Epoch(train) [50][30/63] lr: 1.0000e-04 eta: 1 day, 15:10:12 time: 2.3684 data_time: 0.1520 memory: 28971 loss_text: 0.2124 loss_kernel: 0.0922 loss: 0.3045 2022/08/26 02:12:34 - mmengine - INFO - Epoch(train) [50][35/63] lr: 1.0000e-04 eta: 1 day, 15:10:12 time: 3.3329 data_time: 0.2265 memory: 28971 loss_text: 0.1961 loss_kernel: 0.0850 loss: 0.2811 2022/08/26 02:12:52 - mmengine - INFO - Epoch(train) [50][40/63] lr: 1.0000e-04 eta: 1 day, 15:08:00 time: 3.2486 data_time: 0.1931 memory: 28971 loss_text: 0.1872 loss_kernel: 0.0842 loss: 0.2714 2022/08/26 02:12:56 - mmengine - INFO - Epoch(train) [50][45/63] lr: 1.0000e-04 eta: 1 day, 15:08:00 time: 2.2133 data_time: 0.1378 memory: 28971 loss_text: 0.2096 loss_kernel: 0.0937 loss: 0.3033 2022/08/26 02:13:13 - mmengine - INFO - Epoch(train) [50][50/63] lr: 1.0000e-04 eta: 1 day, 15:03:44 time: 2.1156 data_time: 0.1256 memory: 28971 loss_text: 0.1947 loss_kernel: 0.0839 loss: 0.2786 2022/08/26 02:13:32 - mmengine - INFO - Epoch(train) [50][55/63] lr: 1.0000e-04 eta: 1 day, 15:03:44 time: 3.4994 data_time: 0.1130 memory: 28971 loss_text: 0.1698 loss_kernel: 0.0725 loss: 0.2423 2022/08/26 02:13:50 - mmengine - INFO - Epoch(train) [50][60/63] lr: 1.0000e-04 eta: 1 day, 15:02:29 time: 3.7397 data_time: 0.2434 memory: 28971 loss_text: 0.1630 loss_kernel: 0.0710 loss: 0.2341 2022/08/26 02:14:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:16:10 - mmengine - INFO - Epoch(train) [51][5/63] lr: 1.0000e-04 eta: 1 day, 15:02:29 time: 15.2360 data_time: 9.6963 memory: 28971 loss_text: 0.1802 loss_kernel: 0.0792 loss: 0.2594 2022/08/26 02:16:25 - mmengine - INFO - Epoch(train) [51][10/63] lr: 1.0000e-04 eta: 1 day, 15:14:56 time: 12.5720 data_time: 9.6181 memory: 28971 loss_text: 0.1748 loss_kernel: 0.0785 loss: 0.2534 2022/08/26 02:16:32 - mmengine - INFO - Epoch(train) [51][15/63] lr: 1.0000e-04 eta: 1 day, 15:14:56 time: 2.2804 data_time: 0.1738 memory: 28971 loss_text: 0.1639 loss_kernel: 0.0741 loss: 0.2381 2022/08/26 02:17:10 - mmengine - INFO - Epoch(train) [51][20/63] lr: 1.0000e-04 eta: 1 day, 15:15:04 time: 4.5262 data_time: 0.2834 memory: 28971 loss_text: 0.1732 loss_kernel: 0.0781 loss: 0.2513 2022/08/26 02:17:33 - mmengine - INFO - Epoch(train) [51][25/63] lr: 1.0000e-04 eta: 1 day, 15:15:04 time: 6.0590 data_time: 0.6179 memory: 28971 loss_text: 0.1909 loss_kernel: 0.0865 loss: 0.2774 2022/08/26 02:17:57 - mmengine - INFO - Epoch(train) [51][30/63] lr: 1.0000e-04 eta: 1 day, 15:15:29 time: 4.6776 data_time: 0.5175 memory: 28971 loss_text: 0.1794 loss_kernel: 0.0803 loss: 0.2597 2022/08/26 02:18:15 - mmengine - INFO - Epoch(train) [51][35/63] lr: 1.0000e-04 eta: 1 day, 15:15:29 time: 4.2287 data_time: 0.2053 memory: 28971 loss_text: 0.1599 loss_kernel: 0.0715 loss: 0.2315 2022/08/26 02:18:28 - mmengine - INFO - Epoch(train) [51][40/63] lr: 1.0000e-04 eta: 1 day, 15:13:04 time: 3.1238 data_time: 0.1830 memory: 28971 loss_text: 0.1740 loss_kernel: 0.0778 loss: 0.2517 2022/08/26 02:18:42 - mmengine - INFO - Epoch(train) [51][45/63] lr: 1.0000e-04 eta: 1 day, 15:13:04 time: 2.6559 data_time: 0.3925 memory: 28971 loss_text: 0.1958 loss_kernel: 0.0858 loss: 0.2816 2022/08/26 02:19:01 - mmengine - INFO - Epoch(train) [51][50/63] lr: 1.0000e-04 eta: 1 day, 15:10:58 time: 3.2894 data_time: 0.7645 memory: 28971 loss_text: 0.1986 loss_kernel: 0.0861 loss: 0.2847 2022/08/26 02:19:23 - mmengine - INFO - Epoch(train) [51][55/63] lr: 1.0000e-04 eta: 1 day, 15:10:58 time: 4.0913 data_time: 0.6872 memory: 28971 loss_text: 0.1769 loss_kernel: 0.0749 loss: 0.2518 2022/08/26 02:20:11 - mmengine - INFO - Epoch(train) [51][60/63] lr: 1.0000e-04 eta: 1 day, 15:15:23 time: 6.9207 data_time: 0.7320 memory: 28971 loss_text: 0.1515 loss_kernel: 0.0654 loss: 0.2169 2022/08/26 02:20:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:22:47 - mmengine - INFO - Epoch(train) [52][5/63] lr: 1.0000e-04 eta: 1 day, 15:15:23 time: 17.7054 data_time: 10.1992 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0728 loss: 0.2336 2022/08/26 02:23:07 - mmengine - INFO - Epoch(train) [52][10/63] lr: 1.0000e-04 eta: 1 day, 15:29:40 time: 13.7950 data_time: 10.1023 memory: 28971 loss_text: 0.1716 loss_kernel: 0.0775 loss: 0.2491 2022/08/26 02:23:14 - mmengine - INFO - Epoch(train) [52][15/63] lr: 1.0000e-04 eta: 1 day, 15:29:40 time: 2.7215 data_time: 0.1766 memory: 28971 loss_text: 0.1640 loss_kernel: 0.0742 loss: 0.2382 2022/08/26 02:23:39 - mmengine - INFO - Epoch(train) [52][20/63] lr: 1.0000e-04 eta: 1 day, 15:27:19 time: 3.1739 data_time: 0.1742 memory: 28971 loss_text: 0.1873 loss_kernel: 0.0830 loss: 0.2702 2022/08/26 02:23:44 - mmengine - INFO - Epoch(train) [52][25/63] lr: 1.0000e-04 eta: 1 day, 15:27:19 time: 2.9220 data_time: 0.1258 memory: 28971 loss_text: 0.1788 loss_kernel: 0.0795 loss: 0.2583 2022/08/26 02:24:05 - mmengine - INFO - Epoch(train) [52][30/63] lr: 1.0000e-04 eta: 1 day, 15:24:00 time: 2.6291 data_time: 0.1413 memory: 28971 loss_text: 0.1775 loss_kernel: 0.0802 loss: 0.2577 2022/08/26 02:24:16 - mmengine - INFO - Epoch(train) [52][35/63] lr: 1.0000e-04 eta: 1 day, 15:24:00 time: 3.2041 data_time: 0.1461 memory: 28971 loss_text: 0.1865 loss_kernel: 0.0828 loss: 0.2694 2022/08/26 02:24:30 - mmengine - INFO - Epoch(train) [52][40/63] lr: 1.0000e-04 eta: 1 day, 15:20:25 time: 2.4625 data_time: 0.4088 memory: 28971 loss_text: 0.1845 loss_kernel: 0.0822 loss: 0.2667 2022/08/26 02:24:47 - mmengine - INFO - Epoch(train) [52][45/63] lr: 1.0000e-04 eta: 1 day, 15:20:25 time: 3.1275 data_time: 0.4027 memory: 28971 loss_text: 0.1864 loss_kernel: 0.0845 loss: 0.2709 2022/08/26 02:25:06 - mmengine - INFO - Epoch(train) [52][50/63] lr: 1.0000e-04 eta: 1 day, 15:18:54 time: 3.6296 data_time: 0.2326 memory: 28971 loss_text: 0.1624 loss_kernel: 0.0720 loss: 0.2343 2022/08/26 02:25:26 - mmengine - INFO - Epoch(train) [52][55/63] lr: 1.0000e-04 eta: 1 day, 15:18:54 time: 3.9059 data_time: 0.2675 memory: 28971 loss_text: 0.1673 loss_kernel: 0.0739 loss: 0.2412 2022/08/26 02:25:32 - mmengine - INFO - Epoch(train) [52][60/63] lr: 1.0000e-04 eta: 1 day, 15:15:35 time: 2.5960 data_time: 0.2667 memory: 28971 loss_text: 0.1742 loss_kernel: 0.0781 loss: 0.2523 2022/08/26 02:25:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:27:52 - mmengine - INFO - Epoch(train) [53][5/63] lr: 1.0000e-04 eta: 1 day, 15:15:35 time: 14.1213 data_time: 10.3991 memory: 28971 loss_text: 0.1562 loss_kernel: 0.0694 loss: 0.2256 2022/08/26 02:28:15 - mmengine - INFO - Epoch(train) [53][10/63] lr: 1.0000e-04 eta: 1 day, 15:29:51 time: 13.9818 data_time: 10.5254 memory: 28971 loss_text: 0.1648 loss_kernel: 0.0742 loss: 0.2390 2022/08/26 02:28:20 - mmengine - INFO - Epoch(train) [53][15/63] lr: 1.0000e-04 eta: 1 day, 15:29:51 time: 2.8245 data_time: 0.2635 memory: 28971 loss_text: 0.1733 loss_kernel: 0.0796 loss: 0.2529 2022/08/26 02:28:43 - mmengine - INFO - Epoch(train) [53][20/63] lr: 1.0000e-04 eta: 1 day, 15:26:53 time: 2.8161 data_time: 0.1907 memory: 28971 loss_text: 0.1671 loss_kernel: 0.0761 loss: 0.2432 2022/08/26 02:28:49 - mmengine - INFO - Epoch(train) [53][25/63] lr: 1.0000e-04 eta: 1 day, 15:26:53 time: 2.8654 data_time: 0.1620 memory: 28971 loss_text: 0.1663 loss_kernel: 0.0746 loss: 0.2408 2022/08/26 02:29:13 - mmengine - INFO - Epoch(train) [53][30/63] lr: 1.0000e-04 eta: 1 day, 15:24:13 time: 2.9710 data_time: 0.1468 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0671 loss: 0.2228 2022/08/26 02:29:31 - mmengine - INFO - Epoch(train) [53][35/63] lr: 1.0000e-04 eta: 1 day, 15:24:13 time: 4.1479 data_time: 0.1433 memory: 28971 loss_text: 0.1690 loss_kernel: 0.0744 loss: 0.2434 2022/08/26 02:29:57 - mmengine - INFO - Epoch(train) [53][40/63] lr: 1.0000e-04 eta: 1 day, 15:24:06 time: 4.4431 data_time: 0.3662 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0760 loss: 0.2410 2022/08/26 02:30:02 - mmengine - INFO - Epoch(train) [53][45/63] lr: 1.0000e-04 eta: 1 day, 15:24:06 time: 3.1191 data_time: 0.3489 memory: 28971 loss_text: 0.1760 loss_kernel: 0.0773 loss: 0.2532 2022/08/26 02:30:23 - mmengine - INFO - Epoch(train) [53][50/63] lr: 1.0000e-04 eta: 1 day, 15:20:48 time: 2.6018 data_time: 0.2414 memory: 28971 loss_text: 0.1792 loss_kernel: 0.0787 loss: 0.2579 2022/08/26 02:30:46 - mmengine - INFO - Epoch(train) [53][55/63] lr: 1.0000e-04 eta: 1 day, 15:20:48 time: 4.4075 data_time: 0.2575 memory: 28971 loss_text: 0.1708 loss_kernel: 0.0760 loss: 0.2468 2022/08/26 02:31:13 - mmengine - INFO - Epoch(train) [53][60/63] lr: 1.0000e-04 eta: 1 day, 15:21:38 time: 4.9871 data_time: 0.2419 memory: 28971 loss_text: 0.2056 loss_kernel: 0.0889 loss: 0.2945 2022/08/26 02:31:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:33:12 - mmengine - INFO - Epoch(train) [54][5/63] lr: 1.0000e-04 eta: 1 day, 15:21:38 time: 14.1462 data_time: 9.8480 memory: 28971 loss_text: 0.1826 loss_kernel: 0.0782 loss: 0.2608 2022/08/26 02:33:37 - mmengine - INFO - Epoch(train) [54][10/63] lr: 1.0000e-04 eta: 1 day, 15:35:21 time: 13.8634 data_time: 9.9827 memory: 28971 loss_text: 0.1665 loss_kernel: 0.0729 loss: 0.2393 2022/08/26 02:33:42 - mmengine - INFO - Epoch(train) [54][15/63] lr: 1.0000e-04 eta: 1 day, 15:35:21 time: 2.9740 data_time: 0.2886 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0694 loss: 0.2263 2022/08/26 02:34:02 - mmengine - INFO - Epoch(train) [54][20/63] lr: 1.0000e-04 eta: 1 day, 15:31:54 time: 2.5262 data_time: 0.2104 memory: 28971 loss_text: 0.1658 loss_kernel: 0.0737 loss: 0.2395 2022/08/26 02:34:34 - mmengine - INFO - Epoch(train) [54][25/63] lr: 1.0000e-04 eta: 1 day, 15:31:54 time: 5.1684 data_time: 0.4264 memory: 28971 loss_text: 0.1805 loss_kernel: 0.0753 loss: 0.2558 2022/08/26 02:35:04 - mmengine - INFO - Epoch(train) [54][30/63] lr: 1.0000e-04 eta: 1 day, 15:34:46 time: 6.2152 data_time: 0.6086 memory: 28971 loss_text: 0.1906 loss_kernel: 0.0809 loss: 0.2715 2022/08/26 02:35:09 - mmengine - INFO - Epoch(train) [54][35/63] lr: 1.0000e-04 eta: 1 day, 15:34:46 time: 3.5936 data_time: 0.3543 memory: 28971 loss_text: 0.1796 loss_kernel: 0.0801 loss: 0.2597 2022/08/26 02:35:43 - mmengine - INFO - Epoch(train) [54][40/63] lr: 1.0000e-04 eta: 1 day, 15:33:42 time: 3.9148 data_time: 0.1507 memory: 28971 loss_text: 0.1845 loss_kernel: 0.0786 loss: 0.2631 2022/08/26 02:36:19 - mmengine - INFO - Epoch(train) [54][45/63] lr: 1.0000e-04 eta: 1 day, 15:33:42 time: 6.8841 data_time: 0.6190 memory: 28971 loss_text: 0.1769 loss_kernel: 0.0760 loss: 0.2528 2022/08/26 02:36:43 - mmengine - INFO - Epoch(train) [54][50/63] lr: 1.0000e-04 eta: 1 day, 15:36:11 time: 6.0189 data_time: 0.8741 memory: 28971 loss_text: 0.1605 loss_kernel: 0.0734 loss: 0.2339 2022/08/26 02:37:29 - mmengine - INFO - Epoch(train) [54][55/63] lr: 1.0000e-04 eta: 1 day, 15:36:11 time: 7.0441 data_time: 0.7289 memory: 28971 loss_text: 0.1610 loss_kernel: 0.0716 loss: 0.2325 2022/08/26 02:37:33 - mmengine - INFO - Epoch(train) [54][60/63] lr: 1.0000e-04 eta: 1 day, 15:36:59 time: 5.0285 data_time: 0.4351 memory: 28971 loss_text: 0.1763 loss_kernel: 0.0727 loss: 0.2490 2022/08/26 02:37:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:39:56 - mmengine - INFO - Epoch(train) [55][5/63] lr: 1.0000e-04 eta: 1 day, 15:36:59 time: 14.3218 data_time: 10.1790 memory: 28971 loss_text: 0.2107 loss_kernel: 0.0913 loss: 0.3020 2022/08/26 02:41:07 - mmengine - INFO - Epoch(train) [55][10/63] lr: 1.0000e-04 eta: 1 day, 15:59:32 time: 19.3420 data_time: 10.3455 memory: 28971 loss_text: 0.1966 loss_kernel: 0.0833 loss: 0.2798 2022/08/26 02:41:12 - mmengine - INFO - Epoch(train) [55][15/63] lr: 1.0000e-04 eta: 1 day, 15:59:32 time: 7.6683 data_time: 0.2560 memory: 28971 loss_text: 0.1570 loss_kernel: 0.0681 loss: 0.2251 2022/08/26 02:41:33 - mmengine - INFO - Epoch(train) [55][20/63] lr: 1.0000e-04 eta: 1 day, 15:56:07 time: 2.5660 data_time: 0.2153 memory: 28971 loss_text: 0.1626 loss_kernel: 0.0720 loss: 0.2346 2022/08/26 02:41:53 - mmengine - INFO - Epoch(train) [55][25/63] lr: 1.0000e-04 eta: 1 day, 15:56:07 time: 4.0101 data_time: 0.2170 memory: 28971 loss_text: 0.1635 loss_kernel: 0.0737 loss: 0.2372 2022/08/26 02:42:00 - mmengine - INFO - Epoch(train) [55][30/63] lr: 1.0000e-04 eta: 1 day, 15:53:02 time: 2.7572 data_time: 0.3507 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0723 loss: 0.2318 2022/08/26 02:42:24 - mmengine - INFO - Epoch(train) [55][35/63] lr: 1.0000e-04 eta: 1 day, 15:53:02 time: 3.1282 data_time: 0.3122 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0711 loss: 0.2338 2022/08/26 02:42:29 - mmengine - INFO - Epoch(train) [55][40/63] lr: 1.0000e-04 eta: 1 day, 15:50:08 time: 2.8445 data_time: 0.0755 memory: 28971 loss_text: 0.1897 loss_kernel: 0.0828 loss: 0.2725 2022/08/26 02:42:50 - mmengine - INFO - Epoch(train) [55][45/63] lr: 1.0000e-04 eta: 1 day, 15:50:08 time: 2.5768 data_time: 0.2704 memory: 28971 loss_text: 0.1848 loss_kernel: 0.0813 loss: 0.2661 2022/08/26 02:42:55 - mmengine - INFO - Epoch(train) [55][50/63] lr: 1.0000e-04 eta: 1 day, 15:46:47 time: 2.5744 data_time: 0.2860 memory: 28971 loss_text: 0.1901 loss_kernel: 0.0834 loss: 0.2735 2022/08/26 02:43:29 - mmengine - INFO - Epoch(train) [55][55/63] lr: 1.0000e-04 eta: 1 day, 15:46:47 time: 3.8966 data_time: 0.2212 memory: 28971 loss_text: 0.1924 loss_kernel: 0.0848 loss: 0.2772 2022/08/26 02:43:34 - mmengine - INFO - Epoch(train) [55][60/63] lr: 1.0000e-04 eta: 1 day, 15:45:40 time: 3.9155 data_time: 0.2597 memory: 28971 loss_text: 0.1979 loss_kernel: 0.0863 loss: 0.2843 2022/08/26 02:44:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:45:49 - mmengine - INFO - Epoch(train) [56][5/63] lr: 1.0000e-04 eta: 1 day, 15:45:40 time: 13.6831 data_time: 9.8477 memory: 28971 loss_text: 0.2262 loss_kernel: 0.0976 loss: 0.3238 2022/08/26 02:45:55 - mmengine - INFO - Epoch(train) [56][10/63] lr: 1.0000e-04 eta: 1 day, 15:54:46 time: 11.4975 data_time: 9.8043 memory: 28971 loss_text: 0.2074 loss_kernel: 0.0906 loss: 0.2980 2022/08/26 02:46:17 - mmengine - INFO - Epoch(train) [56][15/63] lr: 1.0000e-04 eta: 1 day, 15:54:46 time: 2.7611 data_time: 0.0726 memory: 28971 loss_text: 0.1761 loss_kernel: 0.0777 loss: 0.2537 2022/08/26 02:46:35 - mmengine - INFO - Epoch(train) [56][20/63] lr: 1.0000e-04 eta: 1 day, 15:53:45 time: 3.9939 data_time: 0.1486 memory: 28971 loss_text: 0.1643 loss_kernel: 0.0725 loss: 0.2368 2022/08/26 02:46:48 - mmengine - INFO - Epoch(train) [56][25/63] lr: 1.0000e-04 eta: 1 day, 15:53:45 time: 3.0484 data_time: 0.2092 memory: 28971 loss_text: 0.1540 loss_kernel: 0.0670 loss: 0.2210 2022/08/26 02:47:01 - mmengine - INFO - Epoch(train) [56][30/63] lr: 1.0000e-04 eta: 1 day, 15:50:27 time: 2.5922 data_time: 0.3008 memory: 28971 loss_text: 0.1734 loss_kernel: 0.0749 loss: 0.2483 2022/08/26 02:47:07 - mmengine - INFO - Epoch(train) [56][35/63] lr: 1.0000e-04 eta: 1 day, 15:50:27 time: 1.9601 data_time: 0.3248 memory: 28971 loss_text: 0.1897 loss_kernel: 0.0828 loss: 0.2724 2022/08/26 02:47:28 - mmengine - INFO - Epoch(train) [56][40/63] lr: 1.0000e-04 eta: 1 day, 15:47:14 time: 2.6315 data_time: 0.1554 memory: 28971 loss_text: 0.1635 loss_kernel: 0.0729 loss: 0.2363 2022/08/26 02:47:47 - mmengine - INFO - Epoch(train) [56][45/63] lr: 1.0000e-04 eta: 1 day, 15:47:14 time: 3.9444 data_time: 0.1651 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0647 loss: 0.2067 2022/08/26 02:47:59 - mmengine - INFO - Epoch(train) [56][50/63] lr: 1.0000e-04 eta: 1 day, 15:44:52 time: 3.1543 data_time: 0.2578 memory: 28971 loss_text: 0.1588 loss_kernel: 0.0725 loss: 0.2313 2022/08/26 02:48:46 - mmengine - INFO - Epoch(train) [56][55/63] lr: 1.0000e-04 eta: 1 day, 15:44:52 time: 5.8240 data_time: 0.2249 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0758 loss: 0.2426 2022/08/26 02:49:13 - mmengine - INFO - Epoch(train) [56][60/63] lr: 1.0000e-04 eta: 1 day, 15:49:24 time: 7.3939 data_time: 0.3638 memory: 28971 loss_text: 0.1725 loss_kernel: 0.0793 loss: 0.2518 2022/08/26 02:49:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:51:16 - mmengine - INFO - Epoch(train) [57][5/63] lr: 1.0000e-04 eta: 1 day, 15:49:24 time: 13.5008 data_time: 10.2963 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0729 loss: 0.2325 2022/08/26 02:51:40 - mmengine - INFO - Epoch(train) [57][10/63] lr: 1.0000e-04 eta: 1 day, 16:02:25 time: 14.0720 data_time: 10.2210 memory: 28971 loss_text: 0.1544 loss_kernel: 0.0686 loss: 0.2230 2022/08/26 02:51:45 - mmengine - INFO - Epoch(train) [57][15/63] lr: 1.0000e-04 eta: 1 day, 16:02:25 time: 2.8644 data_time: 0.1198 memory: 28971 loss_text: 0.1567 loss_kernel: 0.0691 loss: 0.2258 2022/08/26 02:52:12 - mmengine - INFO - Epoch(train) [57][20/63] lr: 1.0000e-04 eta: 1 day, 16:00:07 time: 3.2137 data_time: 0.0988 memory: 28971 loss_text: 0.1650 loss_kernel: 0.0725 loss: 0.2375 2022/08/26 02:52:40 - mmengine - INFO - Epoch(train) [57][25/63] lr: 1.0000e-04 eta: 1 day, 16:00:07 time: 5.4641 data_time: 0.1788 memory: 28971 loss_text: 0.1742 loss_kernel: 0.0764 loss: 0.2506 2022/08/26 02:52:45 - mmengine - INFO - Epoch(train) [57][30/63] lr: 1.0000e-04 eta: 1 day, 15:57:55 time: 3.2655 data_time: 0.1904 memory: 28971 loss_text: 0.1630 loss_kernel: 0.0739 loss: 0.2368 2022/08/26 02:53:05 - mmengine - INFO - Epoch(train) [57][35/63] lr: 1.0000e-04 eta: 1 day, 15:57:55 time: 2.5633 data_time: 0.2473 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0703 loss: 0.2260 2022/08/26 02:53:29 - mmengine - INFO - Epoch(train) [57][40/63] lr: 1.0000e-04 eta: 1 day, 15:57:32 time: 4.3998 data_time: 0.2511 memory: 28971 loss_text: 0.1701 loss_kernel: 0.0720 loss: 0.2422 2022/08/26 02:53:48 - mmengine - INFO - Epoch(train) [57][45/63] lr: 1.0000e-04 eta: 1 day, 15:57:32 time: 4.2952 data_time: 0.2429 memory: 28971 loss_text: 0.1774 loss_kernel: 0.0772 loss: 0.2545 2022/08/26 02:53:54 - mmengine - INFO - Epoch(train) [57][50/63] lr: 1.0000e-04 eta: 1 day, 15:54:10 time: 2.5351 data_time: 0.2843 memory: 28971 loss_text: 0.1626 loss_kernel: 0.0739 loss: 0.2365 2022/08/26 02:54:17 - mmengine - INFO - Epoch(train) [57][55/63] lr: 1.0000e-04 eta: 1 day, 15:54:10 time: 2.8294 data_time: 0.1430 memory: 28971 loss_text: 0.1813 loss_kernel: 0.0815 loss: 0.2628 2022/08/26 02:55:15 - mmengine - INFO - Epoch(train) [57][60/63] lr: 1.0000e-04 eta: 1 day, 15:59:37 time: 8.0599 data_time: 0.3690 memory: 28971 loss_text: 0.2067 loss_kernel: 0.0927 loss: 0.2994 2022/08/26 02:55:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 02:57:16 - mmengine - INFO - Epoch(train) [58][5/63] lr: 1.0000e-04 eta: 1 day, 15:59:37 time: 14.7233 data_time: 9.6806 memory: 28971 loss_text: 0.1725 loss_kernel: 0.0760 loss: 0.2485 2022/08/26 02:57:33 - mmengine - INFO - Epoch(train) [58][10/63] lr: 1.0000e-04 eta: 1 day, 16:10:33 time: 12.9596 data_time: 9.7191 memory: 28971 loss_text: 0.1548 loss_kernel: 0.0692 loss: 0.2240 2022/08/26 02:57:37 - mmengine - INFO - Epoch(train) [58][15/63] lr: 1.0000e-04 eta: 1 day, 16:10:33 time: 2.1187 data_time: 0.1432 memory: 28971 loss_text: 0.1554 loss_kernel: 0.0689 loss: 0.2243 2022/08/26 02:57:58 - mmengine - INFO - Epoch(train) [58][20/63] lr: 1.0000e-04 eta: 1 day, 16:07:11 time: 2.5385 data_time: 0.1727 memory: 28971 loss_text: 0.1688 loss_kernel: 0.0765 loss: 0.2453 2022/08/26 02:58:03 - mmengine - INFO - Epoch(train) [58][25/63] lr: 1.0000e-04 eta: 1 day, 16:07:11 time: 2.6090 data_time: 0.1693 memory: 28971 loss_text: 0.1784 loss_kernel: 0.0822 loss: 0.2607 2022/08/26 02:58:13 - mmengine - INFO - Epoch(train) [58][30/63] lr: 1.0000e-04 eta: 1 day, 16:02:11 time: 1.4956 data_time: 0.1020 memory: 28971 loss_text: 0.2030 loss_kernel: 0.0885 loss: 0.2915 2022/08/26 02:58:18 - mmengine - INFO - Epoch(train) [58][35/63] lr: 1.0000e-04 eta: 1 day, 16:02:11 time: 1.4328 data_time: 0.1078 memory: 28971 loss_text: 0.1754 loss_kernel: 0.0749 loss: 0.2503 2022/08/26 02:58:28 - mmengine - INFO - Epoch(train) [58][40/63] lr: 1.0000e-04 eta: 1 day, 15:57:12 time: 1.4883 data_time: 0.0654 memory: 28971 loss_text: 0.1712 loss_kernel: 0.0752 loss: 0.2463 2022/08/26 02:58:33 - mmengine - INFO - Epoch(train) [58][45/63] lr: 1.0000e-04 eta: 1 day, 15:57:12 time: 1.4915 data_time: 0.0658 memory: 28971 loss_text: 0.1739 loss_kernel: 0.0756 loss: 0.2495 2022/08/26 02:58:43 - mmengine - INFO - Epoch(train) [58][50/63] lr: 1.0000e-04 eta: 1 day, 15:52:14 time: 1.4794 data_time: 0.1113 memory: 28971 loss_text: 0.1883 loss_kernel: 0.0830 loss: 0.2713 2022/08/26 02:58:48 - mmengine - INFO - Epoch(train) [58][55/63] lr: 1.0000e-04 eta: 1 day, 15:52:14 time: 1.5704 data_time: 0.0912 memory: 28971 loss_text: 0.1902 loss_kernel: 0.0842 loss: 0.2745 2022/08/26 02:58:56 - mmengine - INFO - Epoch(train) [58][60/63] lr: 1.0000e-04 eta: 1 day, 15:47:00 time: 1.2931 data_time: 0.0544 memory: 28971 loss_text: 0.1789 loss_kernel: 0.0780 loss: 0.2569 2022/08/26 02:59:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:00:39 - mmengine - INFO - Epoch(train) [59][5/63] lr: 1.0000e-04 eta: 1 day, 15:47:00 time: 10.7645 data_time: 8.7566 memory: 28971 loss_text: 0.1647 loss_kernel: 0.0720 loss: 0.2366 2022/08/26 03:00:44 - mmengine - INFO - Epoch(train) [59][10/63] lr: 1.0000e-04 eta: 1 day, 15:53:17 time: 10.0845 data_time: 8.7785 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0662 loss: 0.2172 2022/08/26 03:00:54 - mmengine - INFO - Epoch(train) [59][15/63] lr: 1.0000e-04 eta: 1 day, 15:53:17 time: 1.5004 data_time: 0.0517 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0678 loss: 0.2185 2022/08/26 03:00:59 - mmengine - INFO - Epoch(train) [59][20/63] lr: 1.0000e-04 eta: 1 day, 15:48:23 time: 1.4919 data_time: 0.0483 memory: 28971 loss_text: 0.1732 loss_kernel: 0.0770 loss: 0.2502 2022/08/26 03:01:08 - mmengine - INFO - Epoch(train) [59][25/63] lr: 1.0000e-04 eta: 1 day, 15:48:23 time: 1.3728 data_time: 0.0491 memory: 28971 loss_text: 0.1783 loss_kernel: 0.0795 loss: 0.2578 2022/08/26 03:01:14 - mmengine - INFO - Epoch(train) [59][30/63] lr: 1.0000e-04 eta: 1 day, 15:43:34 time: 1.5326 data_time: 0.0497 memory: 28971 loss_text: 0.1767 loss_kernel: 0.0804 loss: 0.2571 2022/08/26 03:01:19 - mmengine - INFO - Epoch(train) [59][35/63] lr: 1.0000e-04 eta: 1 day, 15:43:34 time: 1.1392 data_time: 0.0649 memory: 28971 loss_text: 0.1520 loss_kernel: 0.0703 loss: 0.2223 2022/08/26 03:01:28 - mmengine - INFO - Epoch(train) [59][40/63] lr: 1.0000e-04 eta: 1 day, 15:38:36 time: 1.4239 data_time: 0.0679 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0676 loss: 0.2131 2022/08/26 03:01:34 - mmengine - INFO - Epoch(train) [59][45/63] lr: 1.0000e-04 eta: 1 day, 15:38:36 time: 1.4820 data_time: 0.0624 memory: 28971 loss_text: 0.1723 loss_kernel: 0.0794 loss: 0.2516 2022/08/26 03:01:44 - mmengine - INFO - Epoch(train) [59][50/63] lr: 1.0000e-04 eta: 1 day, 15:33:51 time: 1.5461 data_time: 0.0690 memory: 28971 loss_text: 0.1980 loss_kernel: 0.0877 loss: 0.2857 2022/08/26 03:01:50 - mmengine - INFO - Epoch(train) [59][55/63] lr: 1.0000e-04 eta: 1 day, 15:33:51 time: 1.5694 data_time: 0.0555 memory: 28971 loss_text: 0.1921 loss_kernel: 0.0839 loss: 0.2760 2022/08/26 03:02:02 - mmengine - INFO - Epoch(train) [59][60/63] lr: 1.0000e-04 eta: 1 day, 15:29:29 time: 1.7729 data_time: 0.0612 memory: 28971 loss_text: 0.1722 loss_kernel: 0.0773 loss: 0.2495 2022/08/26 03:02:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:03:36 - mmengine - INFO - Epoch(train) [60][5/63] lr: 1.0000e-04 eta: 1 day, 15:29:29 time: 9.7832 data_time: 8.5013 memory: 28971 loss_text: 0.1874 loss_kernel: 0.0845 loss: 0.2719 2022/08/26 03:03:41 - mmengine - INFO - Epoch(train) [60][10/63] lr: 1.0000e-04 eta: 1 day, 15:34:54 time: 9.5704 data_time: 8.5024 memory: 28971 loss_text: 0.1960 loss_kernel: 0.0860 loss: 0.2819 2022/08/26 03:03:58 - mmengine - INFO - Epoch(train) [60][15/63] lr: 1.0000e-04 eta: 1 day, 15:34:54 time: 2.1605 data_time: 0.0451 memory: 28971 loss_text: 0.1776 loss_kernel: 0.0761 loss: 0.2537 2022/08/26 03:04:08 - mmengine - INFO - Epoch(train) [60][20/63] lr: 1.0000e-04 eta: 1 day, 15:31:58 time: 2.7078 data_time: 0.1078 memory: 28971 loss_text: 0.1773 loss_kernel: 0.0782 loss: 0.2555 2022/08/26 03:04:25 - mmengine - INFO - Epoch(train) [60][25/63] lr: 1.0000e-04 eta: 1 day, 15:31:58 time: 2.6069 data_time: 0.1111 memory: 28971 loss_text: 0.1585 loss_kernel: 0.0720 loss: 0.2305 2022/08/26 03:04:33 - mmengine - INFO - Epoch(train) [60][30/63] lr: 1.0000e-04 eta: 1 day, 15:28:47 time: 2.5407 data_time: 0.2925 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0579 loss: 0.1851 2022/08/26 03:05:01 - mmengine - INFO - Epoch(train) [60][35/63] lr: 1.0000e-04 eta: 1 day, 15:28:47 time: 3.7022 data_time: 0.3782 memory: 28971 loss_text: 0.1521 loss_kernel: 0.0679 loss: 0.2200 2022/08/26 03:05:22 - mmengine - INFO - Epoch(train) [60][40/63] lr: 1.0000e-04 eta: 1 day, 15:29:08 time: 4.8618 data_time: 0.2018 memory: 28971 loss_text: 0.1811 loss_kernel: 0.0794 loss: 0.2605 2022/08/26 03:05:27 - mmengine - INFO - Epoch(train) [60][45/63] lr: 1.0000e-04 eta: 1 day, 15:29:08 time: 2.5909 data_time: 0.1700 memory: 28971 loss_text: 0.1904 loss_kernel: 0.0845 loss: 0.2748 2022/08/26 03:05:49 - mmengine - INFO - Epoch(train) [60][50/63] lr: 1.0000e-04 eta: 1 day, 15:26:13 time: 2.6975 data_time: 0.1426 memory: 28971 loss_text: 0.2071 loss_kernel: 0.0930 loss: 0.3001 2022/08/26 03:06:09 - mmengine - INFO - Epoch(train) [60][55/63] lr: 1.0000e-04 eta: 1 day, 15:26:13 time: 4.1926 data_time: 0.1164 memory: 28971 loss_text: 0.1923 loss_kernel: 0.0835 loss: 0.2758 2022/08/26 03:06:16 - mmengine - INFO - Epoch(train) [60][60/63] lr: 1.0000e-04 eta: 1 day, 15:23:22 time: 2.7362 data_time: 0.1472 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0660 loss: 0.2229 2022/08/26 03:06:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:06:20 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/26 03:08:28 - mmengine - INFO - Epoch(train) [61][5/63] lr: 1.0000e-04 eta: 1 day, 15:23:22 time: 12.4600 data_time: 10.1822 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0719 loss: 0.2368 2022/08/26 03:08:34 - mmengine - INFO - Epoch(train) [61][10/63] lr: 1.0000e-04 eta: 1 day, 15:32:58 time: 12.4425 data_time: 10.2114 memory: 28971 loss_text: 0.1669 loss_kernel: 0.0743 loss: 0.2412 2022/08/26 03:08:54 - mmengine - INFO - Epoch(train) [61][15/63] lr: 1.0000e-04 eta: 1 day, 15:32:58 time: 2.6101 data_time: 0.1076 memory: 28971 loss_text: 0.1712 loss_kernel: 0.0758 loss: 0.2470 2022/08/26 03:09:16 - mmengine - INFO - Epoch(train) [61][20/63] lr: 1.0000e-04 eta: 1 day, 15:32:14 time: 4.1708 data_time: 0.4514 memory: 28971 loss_text: 0.1876 loss_kernel: 0.0810 loss: 0.2686 2022/08/26 03:09:20 - mmengine - INFO - Epoch(train) [61][25/63] lr: 1.0000e-04 eta: 1 day, 15:32:14 time: 2.6376 data_time: 0.4253 memory: 28971 loss_text: 0.1868 loss_kernel: 0.0808 loss: 0.2676 2022/08/26 03:09:43 - mmengine - INFO - Epoch(train) [61][30/63] lr: 1.0000e-04 eta: 1 day, 15:29:23 time: 2.7354 data_time: 0.0900 memory: 28971 loss_text: 0.1848 loss_kernel: 0.0799 loss: 0.2646 2022/08/26 03:09:48 - mmengine - INFO - Epoch(train) [61][35/63] lr: 1.0000e-04 eta: 1 day, 15:29:23 time: 2.7903 data_time: 0.1648 memory: 28971 loss_text: 0.1830 loss_kernel: 0.0782 loss: 0.2611 2022/08/26 03:10:12 - mmengine - INFO - Epoch(train) [61][40/63] lr: 1.0000e-04 eta: 1 day, 15:26:47 time: 2.8979 data_time: 0.2783 memory: 28971 loss_text: 0.1655 loss_kernel: 0.0700 loss: 0.2355 2022/08/26 03:10:17 - mmengine - INFO - Epoch(train) [61][45/63] lr: 1.0000e-04 eta: 1 day, 15:26:47 time: 2.8537 data_time: 0.2225 memory: 28971 loss_text: 0.1783 loss_kernel: 0.0775 loss: 0.2558 2022/08/26 03:10:37 - mmengine - INFO - Epoch(train) [61][50/63] lr: 1.0000e-04 eta: 1 day, 15:23:37 time: 2.5113 data_time: 0.1674 memory: 28971 loss_text: 0.1792 loss_kernel: 0.0787 loss: 0.2579 2022/08/26 03:10:53 - mmengine - INFO - Epoch(train) [61][55/63] lr: 1.0000e-04 eta: 1 day, 15:23:37 time: 3.6474 data_time: 0.1904 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0647 loss: 0.2071 2022/08/26 03:11:04 - mmengine - INFO - Epoch(train) [61][60/63] lr: 1.0000e-04 eta: 1 day, 15:20:46 time: 2.7109 data_time: 0.2615 memory: 28971 loss_text: 0.1638 loss_kernel: 0.0745 loss: 0.2384 2022/08/26 03:11:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:13:02 - mmengine - INFO - Epoch(train) [62][5/63] lr: 1.0000e-04 eta: 1 day, 15:20:46 time: 11.9867 data_time: 9.8542 memory: 28971 loss_text: 0.1858 loss_kernel: 0.0840 loss: 0.2698 2022/08/26 03:13:13 - mmengine - INFO - Epoch(train) [62][10/63] lr: 1.0000e-04 eta: 1 day, 15:30:13 time: 12.4699 data_time: 9.9326 memory: 28971 loss_text: 0.1974 loss_kernel: 0.0847 loss: 0.2821 2022/08/26 03:13:28 - mmengine - INFO - Epoch(train) [62][15/63] lr: 1.0000e-04 eta: 1 day, 15:30:13 time: 2.5599 data_time: 0.1453 memory: 28971 loss_text: 0.1727 loss_kernel: 0.0746 loss: 0.2472 2022/08/26 03:13:34 - mmengine - INFO - Epoch(train) [62][20/63] lr: 1.0000e-04 eta: 1 day, 15:26:25 time: 2.0773 data_time: 0.1087 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0686 loss: 0.2192 2022/08/26 03:13:57 - mmengine - INFO - Epoch(train) [62][25/63] lr: 1.0000e-04 eta: 1 day, 15:26:25 time: 2.9079 data_time: 0.1850 memory: 28971 loss_text: 0.1584 loss_kernel: 0.0702 loss: 0.2286 2022/08/26 03:14:02 - mmengine - INFO - Epoch(train) [62][30/63] lr: 1.0000e-04 eta: 1 day, 15:23:41 time: 2.7834 data_time: 0.1812 memory: 28971 loss_text: 0.2111 loss_kernel: 0.0916 loss: 0.3026 2022/08/26 03:14:22 - mmengine - INFO - Epoch(train) [62][35/63] lr: 1.0000e-04 eta: 1 day, 15:23:41 time: 2.4340 data_time: 0.1203 memory: 28971 loss_text: 0.2019 loss_kernel: 0.0874 loss: 0.2892 2022/08/26 03:14:27 - mmengine - INFO - Epoch(train) [62][40/63] lr: 1.0000e-04 eta: 1 day, 15:20:37 time: 2.5528 data_time: 0.1021 memory: 28971 loss_text: 0.1734 loss_kernel: 0.0771 loss: 0.2505 2022/08/26 03:14:47 - mmengine - INFO - Epoch(train) [62][45/63] lr: 1.0000e-04 eta: 1 day, 15:20:37 time: 2.5506 data_time: 0.1926 memory: 28971 loss_text: 0.1679 loss_kernel: 0.0769 loss: 0.2448 2022/08/26 03:14:52 - mmengine - INFO - Epoch(train) [62][50/63] lr: 1.0000e-04 eta: 1 day, 15:17:23 time: 2.4330 data_time: 0.2006 memory: 28971 loss_text: 0.1656 loss_kernel: 0.0727 loss: 0.2383 2022/08/26 03:15:16 - mmengine - INFO - Epoch(train) [62][55/63] lr: 1.0000e-04 eta: 1 day, 15:17:23 time: 2.8340 data_time: 0.0927 memory: 28971 loss_text: 0.1767 loss_kernel: 0.0772 loss: 0.2539 2022/08/26 03:15:22 - mmengine - INFO - Epoch(train) [62][60/63] lr: 1.0000e-04 eta: 1 day, 15:15:05 time: 3.0571 data_time: 0.2629 memory: 28971 loss_text: 0.1552 loss_kernel: 0.0687 loss: 0.2239 2022/08/26 03:15:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:17:52 - mmengine - INFO - Epoch(train) [63][5/63] lr: 1.0000e-04 eta: 1 day, 15:15:05 time: 15.0308 data_time: 9.8461 memory: 28971 loss_text: 0.1738 loss_kernel: 0.0804 loss: 0.2543 2022/08/26 03:18:16 - mmengine - INFO - Epoch(train) [63][10/63] lr: 1.0000e-04 eta: 1 day, 15:27:43 time: 14.8085 data_time: 9.8883 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0783 loss: 0.2498 2022/08/26 03:18:20 - mmengine - INFO - Epoch(train) [63][15/63] lr: 1.0000e-04 eta: 1 day, 15:27:43 time: 2.8610 data_time: 0.1455 memory: 28971 loss_text: 0.1791 loss_kernel: 0.0809 loss: 0.2601 2022/08/26 03:18:37 - mmengine - INFO - Epoch(train) [63][20/63] lr: 1.0000e-04 eta: 1 day, 15:24:06 time: 2.1579 data_time: 0.2192 memory: 28971 loss_text: 0.1809 loss_kernel: 0.0819 loss: 0.2628 2022/08/26 03:18:42 - mmengine - INFO - Epoch(train) [63][25/63] lr: 1.0000e-04 eta: 1 day, 15:24:06 time: 2.1861 data_time: 0.2332 memory: 28971 loss_text: 0.1787 loss_kernel: 0.0791 loss: 0.2578 2022/08/26 03:18:58 - mmengine - INFO - Epoch(train) [63][30/63] lr: 1.0000e-04 eta: 1 day, 15:20:23 time: 2.0838 data_time: 0.0891 memory: 28971 loss_text: 0.1637 loss_kernel: 0.0730 loss: 0.2368 2022/08/26 03:19:04 - mmengine - INFO - Epoch(train) [63][35/63] lr: 1.0000e-04 eta: 1 day, 15:20:23 time: 2.1617 data_time: 0.1561 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0701 loss: 0.2288 2022/08/26 03:19:23 - mmengine - INFO - Epoch(train) [63][40/63] lr: 1.0000e-04 eta: 1 day, 15:17:14 time: 2.4730 data_time: 0.2354 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0669 loss: 0.2199 2022/08/26 03:19:43 - mmengine - INFO - Epoch(train) [63][45/63] lr: 1.0000e-04 eta: 1 day, 15:17:14 time: 3.8872 data_time: 0.2102 memory: 28971 loss_text: 0.1391 loss_kernel: 0.0636 loss: 0.2027 2022/08/26 03:20:03 - mmengine - INFO - Epoch(train) [63][50/63] lr: 1.0000e-04 eta: 1 day, 15:16:24 time: 4.0743 data_time: 0.2065 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0741 loss: 0.2352 2022/08/26 03:20:08 - mmengine - INFO - Epoch(train) [63][55/63] lr: 1.0000e-04 eta: 1 day, 15:16:24 time: 2.5343 data_time: 0.1277 memory: 28971 loss_text: 0.1752 loss_kernel: 0.0785 loss: 0.2537 2022/08/26 03:20:28 - mmengine - INFO - Epoch(train) [63][60/63] lr: 1.0000e-04 eta: 1 day, 15:13:14 time: 2.4390 data_time: 0.2136 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0719 loss: 0.2387 2022/08/26 03:20:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:22:24 - mmengine - INFO - Epoch(train) [64][5/63] lr: 1.0000e-04 eta: 1 day, 15:13:14 time: 11.6524 data_time: 9.7319 memory: 28971 loss_text: 0.1834 loss_kernel: 0.0818 loss: 0.2651 2022/08/26 03:22:43 - mmengine - INFO - Epoch(train) [64][10/63] lr: 1.0000e-04 eta: 1 day, 15:23:06 time: 13.0285 data_time: 9.9374 memory: 28971 loss_text: 0.2182 loss_kernel: 0.0954 loss: 0.3137 2022/08/26 03:22:47 - mmengine - INFO - Epoch(train) [64][15/63] lr: 1.0000e-04 eta: 1 day, 15:23:06 time: 2.4157 data_time: 0.3259 memory: 28971 loss_text: 0.2266 loss_kernel: 0.0958 loss: 0.3224 2022/08/26 03:23:02 - mmengine - INFO - Epoch(train) [64][20/63] lr: 1.0000e-04 eta: 1 day, 15:19:11 time: 1.9190 data_time: 0.0671 memory: 28971 loss_text: 0.1856 loss_kernel: 0.0779 loss: 0.2635 2022/08/26 03:23:08 - mmengine - INFO - Epoch(train) [64][25/63] lr: 1.0000e-04 eta: 1 day, 15:19:11 time: 2.0727 data_time: 0.0996 memory: 28971 loss_text: 0.1727 loss_kernel: 0.0767 loss: 0.2494 2022/08/26 03:23:21 - mmengine - INFO - Epoch(train) [64][30/63] lr: 1.0000e-04 eta: 1 day, 15:15:14 time: 1.8738 data_time: 0.0882 memory: 28971 loss_text: 0.1832 loss_kernel: 0.0803 loss: 0.2635 2022/08/26 03:23:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:23:32 - mmengine - INFO - Epoch(train) [64][35/63] lr: 1.0000e-04 eta: 1 day, 15:15:14 time: 2.3459 data_time: 0.1178 memory: 28971 loss_text: 0.1808 loss_kernel: 0.0789 loss: 0.2597 2022/08/26 03:23:46 - mmengine - INFO - Epoch(train) [64][40/63] lr: 1.0000e-04 eta: 1 day, 15:12:10 time: 2.4958 data_time: 0.1322 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0728 loss: 0.2336 2022/08/26 03:23:55 - mmengine - INFO - Epoch(train) [64][45/63] lr: 1.0000e-04 eta: 1 day, 15:12:10 time: 2.4019 data_time: 0.1472 memory: 28971 loss_text: 0.1690 loss_kernel: 0.0783 loss: 0.2472 2022/08/26 03:24:01 - mmengine - INFO - Epoch(train) [64][50/63] lr: 1.0000e-04 eta: 1 day, 15:07:42 time: 1.4831 data_time: 0.1423 memory: 28971 loss_text: 0.1684 loss_kernel: 0.0767 loss: 0.2451 2022/08/26 03:24:23 - mmengine - INFO - Epoch(train) [64][55/63] lr: 1.0000e-04 eta: 1 day, 15:07:42 time: 2.6941 data_time: 0.1808 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0725 loss: 0.2346 2022/08/26 03:24:36 - mmengine - INFO - Epoch(train) [64][60/63] lr: 1.0000e-04 eta: 1 day, 15:06:06 time: 3.5239 data_time: 0.2405 memory: 28971 loss_text: 0.1606 loss_kernel: 0.0722 loss: 0.2328 2022/08/26 03:24:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:26:45 - mmengine - INFO - Epoch(train) [65][5/63] lr: 1.0000e-04 eta: 1 day, 15:06:06 time: 13.8092 data_time: 9.8445 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0652 loss: 0.2140 2022/08/26 03:27:08 - mmengine - INFO - Epoch(train) [65][10/63] lr: 1.0000e-04 eta: 1 day, 15:17:20 time: 14.1374 data_time: 9.9547 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0610 loss: 0.1964 2022/08/26 03:27:26 - mmengine - INFO - Epoch(train) [65][15/63] lr: 1.0000e-04 eta: 1 day, 15:17:20 time: 4.1907 data_time: 0.4933 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0632 loss: 0.2053 2022/08/26 03:27:31 - mmengine - INFO - Epoch(train) [65][20/63] lr: 1.0000e-04 eta: 1 day, 15:14:04 time: 2.3422 data_time: 0.3529 memory: 28971 loss_text: 0.1503 loss_kernel: 0.0671 loss: 0.2174 2022/08/26 03:27:50 - mmengine - INFO - Epoch(train) [65][25/63] lr: 1.0000e-04 eta: 1 day, 15:14:04 time: 2.3669 data_time: 0.2507 memory: 28971 loss_text: 0.1460 loss_kernel: 0.0661 loss: 0.2121 2022/08/26 03:28:12 - mmengine - INFO - Epoch(train) [65][30/63] lr: 1.0000e-04 eta: 1 day, 15:13:13 time: 4.0786 data_time: 0.2904 memory: 28971 loss_text: 0.1604 loss_kernel: 0.0736 loss: 0.2340 2022/08/26 03:28:30 - mmengine - INFO - Epoch(train) [65][35/63] lr: 1.0000e-04 eta: 1 day, 15:13:13 time: 4.0085 data_time: 0.1958 memory: 28971 loss_text: 0.1449 loss_kernel: 0.0665 loss: 0.2114 2022/08/26 03:28:37 - mmengine - INFO - Epoch(train) [65][40/63] lr: 1.0000e-04 eta: 1 day, 15:10:11 time: 2.4904 data_time: 0.1348 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0554 loss: 0.1735 2022/08/26 03:28:50 - mmengine - INFO - Epoch(train) [65][45/63] lr: 1.0000e-04 eta: 1 day, 15:10:11 time: 1.9434 data_time: 0.1041 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0588 loss: 0.1869 2022/08/26 03:29:12 - mmengine - INFO - Epoch(train) [65][50/63] lr: 1.0000e-04 eta: 1 day, 15:08:34 time: 3.5108 data_time: 0.1908 memory: 28971 loss_text: 0.1640 loss_kernel: 0.0724 loss: 0.2364 2022/08/26 03:29:35 - mmengine - INFO - Epoch(train) [65][55/63] lr: 1.0000e-04 eta: 1 day, 15:08:34 time: 4.4897 data_time: 0.2273 memory: 28971 loss_text: 0.1878 loss_kernel: 0.0832 loss: 0.2709 2022/08/26 03:29:51 - mmengine - INFO - Epoch(train) [65][60/63] lr: 1.0000e-04 eta: 1 day, 15:07:14 time: 3.7117 data_time: 0.2779 memory: 28971 loss_text: 0.1982 loss_kernel: 0.0868 loss: 0.2850 2022/08/26 03:30:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:31:54 - mmengine - INFO - Epoch(train) [66][5/63] lr: 1.0000e-04 eta: 1 day, 15:07:14 time: 13.4636 data_time: 9.8877 memory: 28971 loss_text: 0.1796 loss_kernel: 0.0812 loss: 0.2608 2022/08/26 03:32:00 - mmengine - INFO - Epoch(train) [66][10/63] lr: 1.0000e-04 eta: 1 day, 15:15:08 time: 11.8696 data_time: 9.6137 memory: 28971 loss_text: 0.1704 loss_kernel: 0.0780 loss: 0.2484 2022/08/26 03:32:16 - mmengine - INFO - Epoch(train) [66][15/63] lr: 1.0000e-04 eta: 1 day, 15:15:08 time: 2.1953 data_time: 0.1949 memory: 28971 loss_text: 0.1520 loss_kernel: 0.0672 loss: 0.2192 2022/08/26 03:32:36 - mmengine - INFO - Epoch(train) [66][20/63] lr: 1.0000e-04 eta: 1 day, 15:13:31 time: 3.5226 data_time: 0.2461 memory: 28971 loss_text: 0.1679 loss_kernel: 0.0727 loss: 0.2406 2022/08/26 03:32:41 - mmengine - INFO - Epoch(train) [66][25/63] lr: 1.0000e-04 eta: 1 day, 15:13:31 time: 2.4533 data_time: 0.1765 memory: 28971 loss_text: 0.1797 loss_kernel: 0.0802 loss: 0.2599 2022/08/26 03:32:57 - mmengine - INFO - Epoch(train) [66][30/63] lr: 1.0000e-04 eta: 1 day, 15:10:05 time: 2.1868 data_time: 0.2125 memory: 28971 loss_text: 0.1746 loss_kernel: 0.0790 loss: 0.2536 2022/08/26 03:33:02 - mmengine - INFO - Epoch(train) [66][35/63] lr: 1.0000e-04 eta: 1 day, 15:10:05 time: 2.1489 data_time: 0.2140 memory: 28971 loss_text: 0.1731 loss_kernel: 0.0770 loss: 0.2501 2022/08/26 03:33:25 - mmengine - INFO - Epoch(train) [66][40/63] lr: 1.0000e-04 eta: 1 day, 15:07:25 time: 2.7336 data_time: 0.1327 memory: 28971 loss_text: 0.1600 loss_kernel: 0.0712 loss: 0.2311 2022/08/26 03:33:30 - mmengine - INFO - Epoch(train) [66][45/63] lr: 1.0000e-04 eta: 1 day, 15:07:25 time: 2.7402 data_time: 0.1265 memory: 28971 loss_text: 0.1713 loss_kernel: 0.0759 loss: 0.2472 2022/08/26 03:33:48 - mmengine - INFO - Epoch(train) [66][50/63] lr: 1.0000e-04 eta: 1 day, 15:04:15 time: 2.3522 data_time: 0.1445 memory: 28971 loss_text: 0.1785 loss_kernel: 0.0785 loss: 0.2570 2022/08/26 03:34:08 - mmengine - INFO - Epoch(train) [66][55/63] lr: 1.0000e-04 eta: 1 day, 15:04:15 time: 3.7747 data_time: 0.1629 memory: 28971 loss_text: 0.1661 loss_kernel: 0.0715 loss: 0.2376 2022/08/26 03:34:24 - mmengine - INFO - Epoch(train) [66][60/63] lr: 1.0000e-04 eta: 1 day, 15:02:40 time: 3.5291 data_time: 0.2487 memory: 28971 loss_text: 0.1537 loss_kernel: 0.0661 loss: 0.2197 2022/08/26 03:34:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:36:33 - mmengine - INFO - Epoch(train) [67][5/63] lr: 1.0000e-04 eta: 1 day, 15:02:40 time: 13.4249 data_time: 9.3113 memory: 28971 loss_text: 0.1689 loss_kernel: 0.0761 loss: 0.2450 2022/08/26 03:36:38 - mmengine - INFO - Epoch(train) [67][10/63] lr: 1.0000e-04 eta: 1 day, 15:09:52 time: 11.4523 data_time: 9.2956 memory: 28971 loss_text: 0.1854 loss_kernel: 0.0809 loss: 0.2663 2022/08/26 03:36:54 - mmengine - INFO - Epoch(train) [67][15/63] lr: 1.0000e-04 eta: 1 day, 15:09:52 time: 2.1379 data_time: 0.1218 memory: 28971 loss_text: 0.2003 loss_kernel: 0.0865 loss: 0.2868 2022/08/26 03:37:14 - mmengine - INFO - Epoch(train) [67][20/63] lr: 1.0000e-04 eta: 1 day, 15:08:18 time: 3.5497 data_time: 0.1310 memory: 28971 loss_text: 0.1924 loss_kernel: 0.0855 loss: 0.2779 2022/08/26 03:37:21 - mmengine - INFO - Epoch(train) [67][25/63] lr: 1.0000e-04 eta: 1 day, 15:08:18 time: 2.6931 data_time: 0.2403 memory: 28971 loss_text: 0.1831 loss_kernel: 0.0807 loss: 0.2638 2022/08/26 03:37:37 - mmengine - INFO - Epoch(train) [67][30/63] lr: 1.0000e-04 eta: 1 day, 15:05:07 time: 2.3309 data_time: 0.2049 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0687 loss: 0.2295 2022/08/26 03:37:44 - mmengine - INFO - Epoch(train) [67][35/63] lr: 1.0000e-04 eta: 1 day, 15:05:07 time: 2.3029 data_time: 0.1133 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0608 loss: 0.1972 2022/08/26 03:38:02 - mmengine - INFO - Epoch(train) [67][40/63] lr: 1.0000e-04 eta: 1 day, 15:02:14 time: 2.5548 data_time: 0.1606 memory: 28971 loss_text: 0.1634 loss_kernel: 0.0721 loss: 0.2355 2022/08/26 03:38:21 - mmengine - INFO - Epoch(train) [67][45/63] lr: 1.0000e-04 eta: 1 day, 15:02:14 time: 3.7173 data_time: 0.2195 memory: 28971 loss_text: 0.2040 loss_kernel: 0.0885 loss: 0.2924 2022/08/26 03:38:35 - mmengine - INFO - Epoch(train) [67][50/63] lr: 1.0000e-04 eta: 1 day, 15:00:20 time: 3.2679 data_time: 0.2161 memory: 28971 loss_text: 0.2105 loss_kernel: 0.0919 loss: 0.3024 2022/08/26 03:38:56 - mmengine - INFO - Epoch(train) [67][55/63] lr: 1.0000e-04 eta: 1 day, 15:00:20 time: 3.3891 data_time: 0.2433 memory: 28971 loss_text: 0.1838 loss_kernel: 0.0804 loss: 0.2642 2022/08/26 03:39:12 - mmengine - INFO - Epoch(train) [67][60/63] lr: 1.0000e-04 eta: 1 day, 14:59:00 time: 3.7059 data_time: 0.2696 memory: 28971 loss_text: 0.1509 loss_kernel: 0.0667 loss: 0.2176 2022/08/26 03:39:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:41:15 - mmengine - INFO - Epoch(train) [68][5/63] lr: 1.0000e-04 eta: 1 day, 14:59:00 time: 13.5808 data_time: 9.8718 memory: 28971 loss_text: 0.1802 loss_kernel: 0.0798 loss: 0.2600 2022/08/26 03:41:35 - mmengine - INFO - Epoch(train) [68][10/63] lr: 1.0000e-04 eta: 1 day, 15:09:13 time: 13.8379 data_time: 9.9088 memory: 28971 loss_text: 0.1773 loss_kernel: 0.0793 loss: 0.2566 2022/08/26 03:41:41 - mmengine - INFO - Epoch(train) [68][15/63] lr: 1.0000e-04 eta: 1 day, 15:09:13 time: 2.5823 data_time: 0.2221 memory: 28971 loss_text: 0.1734 loss_kernel: 0.0781 loss: 0.2515 2022/08/26 03:42:05 - mmengine - INFO - Epoch(train) [68][20/63] lr: 1.0000e-04 eta: 1 day, 15:06:56 time: 3.0088 data_time: 0.2240 memory: 28971 loss_text: 0.1645 loss_kernel: 0.0733 loss: 0.2378 2022/08/26 03:42:10 - mmengine - INFO - Epoch(train) [68][25/63] lr: 1.0000e-04 eta: 1 day, 15:06:56 time: 2.8834 data_time: 0.1474 memory: 28971 loss_text: 0.1566 loss_kernel: 0.0705 loss: 0.2270 2022/08/26 03:42:34 - mmengine - INFO - Epoch(train) [68][30/63] lr: 1.0000e-04 eta: 1 day, 15:04:29 time: 2.8589 data_time: 0.0752 memory: 28971 loss_text: 0.1798 loss_kernel: 0.0812 loss: 0.2610 2022/08/26 03:42:39 - mmengine - INFO - Epoch(train) [68][35/63] lr: 1.0000e-04 eta: 1 day, 15:04:29 time: 2.9313 data_time: 0.1337 memory: 28971 loss_text: 0.2027 loss_kernel: 0.0899 loss: 0.2926 2022/08/26 03:43:04 - mmengine - INFO - Epoch(train) [68][40/63] lr: 1.0000e-04 eta: 1 day, 15:02:08 time: 2.9407 data_time: 0.2004 memory: 28971 loss_text: 0.2155 loss_kernel: 0.0935 loss: 0.3091 2022/08/26 03:43:39 - mmengine - INFO - Epoch(train) [68][45/63] lr: 1.0000e-04 eta: 1 day, 15:02:08 time: 5.9489 data_time: 0.3991 memory: 28971 loss_text: 0.1776 loss_kernel: 0.0775 loss: 0.2551 2022/08/26 03:44:09 - mmengine - INFO - Epoch(train) [68][50/63] lr: 1.0000e-04 eta: 1 day, 15:04:29 time: 6.5130 data_time: 0.6379 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0630 loss: 0.2009 2022/08/26 03:44:33 - mmengine - INFO - Epoch(train) [68][55/63] lr: 1.0000e-04 eta: 1 day, 15:04:29 time: 5.3729 data_time: 0.4315 memory: 28971 loss_text: 0.1563 loss_kernel: 0.0717 loss: 0.2280 2022/08/26 03:44:52 - mmengine - INFO - Epoch(train) [68][60/63] lr: 1.0000e-04 eta: 1 day, 15:04:02 time: 4.3910 data_time: 0.2631 memory: 28971 loss_text: 0.1556 loss_kernel: 0.0689 loss: 0.2244 2022/08/26 03:44:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:46:46 - mmengine - INFO - Epoch(train) [69][5/63] lr: 1.0000e-04 eta: 1 day, 15:04:02 time: 12.8876 data_time: 9.7966 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0741 loss: 0.2391 2022/08/26 03:47:01 - mmengine - INFO - Epoch(train) [69][10/63] lr: 1.0000e-04 eta: 1 day, 15:12:00 time: 12.2778 data_time: 9.6518 memory: 28971 loss_text: 0.1673 loss_kernel: 0.0746 loss: 0.2419 2022/08/26 03:47:09 - mmengine - INFO - Epoch(train) [69][15/63] lr: 1.0000e-04 eta: 1 day, 15:12:00 time: 2.3538 data_time: 0.1319 memory: 28971 loss_text: 0.2014 loss_kernel: 0.0890 loss: 0.2904 2022/08/26 03:47:14 - mmengine - INFO - Epoch(train) [69][20/63] lr: 1.0000e-04 eta: 1 day, 15:07:30 time: 1.2862 data_time: 0.1255 memory: 28971 loss_text: 0.2037 loss_kernel: 0.0922 loss: 0.2959 2022/08/26 03:47:30 - mmengine - INFO - Epoch(train) [69][25/63] lr: 1.0000e-04 eta: 1 day, 15:07:30 time: 2.0470 data_time: 0.0702 memory: 28971 loss_text: 0.1658 loss_kernel: 0.0745 loss: 0.2403 2022/08/26 03:47:49 - mmengine - INFO - Epoch(train) [69][30/63] lr: 1.0000e-04 eta: 1 day, 15:05:54 time: 3.5025 data_time: 0.2373 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0621 loss: 0.2011 2022/08/26 03:48:10 - mmengine - INFO - Epoch(train) [69][35/63] lr: 1.0000e-04 eta: 1 day, 15:05:54 time: 3.9844 data_time: 0.3932 memory: 28971 loss_text: 0.1525 loss_kernel: 0.0692 loss: 0.2217 2022/08/26 03:48:14 - mmengine - INFO - Epoch(train) [69][40/63] lr: 1.0000e-04 eta: 1 day, 15:03:05 time: 2.5732 data_time: 0.2758 memory: 28971 loss_text: 0.1933 loss_kernel: 0.0858 loss: 0.2790 2022/08/26 03:48:33 - mmengine - INFO - Epoch(train) [69][45/63] lr: 1.0000e-04 eta: 1 day, 15:03:05 time: 2.3698 data_time: 0.1431 memory: 28971 loss_text: 0.1804 loss_kernel: 0.0800 loss: 0.2605 2022/08/26 03:48:38 - mmengine - INFO - Epoch(train) [69][50/63] lr: 1.0000e-04 eta: 1 day, 15:00:01 time: 2.3558 data_time: 0.1131 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0718 loss: 0.2330 2022/08/26 03:48:56 - mmengine - INFO - Epoch(train) [69][55/63] lr: 1.0000e-04 eta: 1 day, 15:00:01 time: 2.2627 data_time: 0.0784 memory: 28971 loss_text: 0.1860 loss_kernel: 0.0813 loss: 0.2673 2022/08/26 03:49:14 - mmengine - INFO - Epoch(train) [69][60/63] lr: 1.0000e-04 eta: 1 day, 14:58:32 time: 3.5883 data_time: 0.1337 memory: 28971 loss_text: 0.1773 loss_kernel: 0.0781 loss: 0.2553 2022/08/26 03:49:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:51:11 - mmengine - INFO - Epoch(train) [70][5/63] lr: 1.0000e-04 eta: 1 day, 14:58:32 time: 13.1296 data_time: 9.9557 memory: 28971 loss_text: 0.1613 loss_kernel: 0.0735 loss: 0.2349 2022/08/26 03:51:25 - mmengine - INFO - Epoch(train) [70][10/63] lr: 1.0000e-04 eta: 1 day, 15:06:44 time: 12.5695 data_time: 9.8498 memory: 28971 loss_text: 0.1946 loss_kernel: 0.0857 loss: 0.2802 2022/08/26 03:51:36 - mmengine - INFO - Epoch(train) [70][15/63] lr: 1.0000e-04 eta: 1 day, 15:06:44 time: 2.5737 data_time: 0.2660 memory: 28971 loss_text: 0.1778 loss_kernel: 0.0792 loss: 0.2570 2022/08/26 03:51:53 - mmengine - INFO - Epoch(train) [70][20/63] lr: 1.0000e-04 eta: 1 day, 15:04:15 time: 2.8119 data_time: 0.3346 memory: 28971 loss_text: 0.1909 loss_kernel: 0.0853 loss: 0.2763 2022/08/26 03:51:58 - mmengine - INFO - Epoch(train) [70][25/63] lr: 1.0000e-04 eta: 1 day, 15:04:15 time: 2.1332 data_time: 0.2019 memory: 28971 loss_text: 0.2158 loss_kernel: 0.0954 loss: 0.3113 2022/08/26 03:52:15 - mmengine - INFO - Epoch(train) [70][30/63] lr: 1.0000e-04 eta: 1 day, 15:00:59 time: 2.1856 data_time: 0.1214 memory: 28971 loss_text: 0.1968 loss_kernel: 0.0867 loss: 0.2835 2022/08/26 03:52:20 - mmengine - INFO - Epoch(train) [70][35/63] lr: 1.0000e-04 eta: 1 day, 15:00:59 time: 2.2209 data_time: 0.1276 memory: 28971 loss_text: 0.1586 loss_kernel: 0.0701 loss: 0.2286 2022/08/26 03:52:40 - mmengine - INFO - Epoch(train) [70][40/63] lr: 1.0000e-04 eta: 1 day, 14:58:13 time: 2.5768 data_time: 0.1687 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0664 loss: 0.2154 2022/08/26 03:52:46 - mmengine - INFO - Epoch(train) [70][45/63] lr: 1.0000e-04 eta: 1 day, 14:58:13 time: 2.5770 data_time: 0.1121 memory: 28971 loss_text: 0.1653 loss_kernel: 0.0732 loss: 0.2385 2022/08/26 03:53:06 - mmengine - INFO - Epoch(train) [70][50/63] lr: 1.0000e-04 eta: 1 day, 14:55:23 time: 2.5126 data_time: 0.1621 memory: 28971 loss_text: 0.1825 loss_kernel: 0.0800 loss: 0.2625 2022/08/26 03:53:22 - mmengine - INFO - Epoch(train) [70][55/63] lr: 1.0000e-04 eta: 1 day, 14:55:23 time: 3.6551 data_time: 0.1887 memory: 28971 loss_text: 0.1676 loss_kernel: 0.0739 loss: 0.2414 2022/08/26 03:53:45 - mmengine - INFO - Epoch(train) [70][60/63] lr: 1.0000e-04 eta: 1 day, 14:54:23 time: 3.9552 data_time: 0.3081 memory: 28971 loss_text: 0.1707 loss_kernel: 0.0742 loss: 0.2450 2022/08/26 03:54:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 03:56:03 - mmengine - INFO - Epoch(train) [71][5/63] lr: 1.0000e-04 eta: 1 day, 14:54:23 time: 14.0837 data_time: 10.4715 memory: 28971 loss_text: 0.1907 loss_kernel: 0.0838 loss: 0.2745 2022/08/26 03:56:23 - mmengine - INFO - Epoch(train) [71][10/63] lr: 1.0000e-04 eta: 1 day, 15:04:29 time: 14.2068 data_time: 10.4230 memory: 28971 loss_text: 0.1637 loss_kernel: 0.0735 loss: 0.2372 2022/08/26 03:56:28 - mmengine - INFO - Epoch(train) [71][15/63] lr: 1.0000e-04 eta: 1 day, 15:04:29 time: 2.5701 data_time: 0.1668 memory: 28971 loss_text: 0.1663 loss_kernel: 0.0742 loss: 0.2405 2022/08/26 03:56:49 - mmengine - INFO - Epoch(train) [71][20/63] lr: 1.0000e-04 eta: 1 day, 15:01:43 time: 2.5695 data_time: 0.1083 memory: 28971 loss_text: 0.1745 loss_kernel: 0.0781 loss: 0.2526 2022/08/26 03:56:56 - mmengine - INFO - Epoch(train) [71][25/63] lr: 1.0000e-04 eta: 1 day, 15:01:43 time: 2.7625 data_time: 0.1949 memory: 28971 loss_text: 0.1714 loss_kernel: 0.0753 loss: 0.2467 2022/08/26 03:57:16 - mmengine - INFO - Epoch(train) [71][30/63] lr: 1.0000e-04 eta: 1 day, 14:59:04 time: 2.6592 data_time: 0.3113 memory: 28971 loss_text: 0.1700 loss_kernel: 0.0727 loss: 0.2427 2022/08/26 03:57:36 - mmengine - INFO - Epoch(train) [71][35/63] lr: 1.0000e-04 eta: 1 day, 14:59:04 time: 4.0077 data_time: 0.2836 memory: 28971 loss_text: 0.1725 loss_kernel: 0.0744 loss: 0.2470 2022/08/26 03:57:40 - mmengine - INFO - Epoch(train) [71][40/63] lr: 1.0000e-04 eta: 1 day, 14:56:15 time: 2.5016 data_time: 0.1515 memory: 28971 loss_text: 0.1742 loss_kernel: 0.0765 loss: 0.2507 2022/08/26 03:58:00 - mmengine - INFO - Epoch(train) [71][45/63] lr: 1.0000e-04 eta: 1 day, 14:56:15 time: 2.3851 data_time: 0.2509 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0735 loss: 0.2407 2022/08/26 03:58:04 - mmengine - INFO - Epoch(train) [71][50/63] lr: 1.0000e-04 eta: 1 day, 14:53:18 time: 2.3989 data_time: 0.2804 memory: 28971 loss_text: 0.1780 loss_kernel: 0.0796 loss: 0.2575 2022/08/26 03:58:23 - mmengine - INFO - Epoch(train) [71][55/63] lr: 1.0000e-04 eta: 1 day, 14:53:18 time: 2.3433 data_time: 0.0958 memory: 28971 loss_text: 0.1637 loss_kernel: 0.0732 loss: 0.2369 2022/08/26 03:58:29 - mmengine - INFO - Epoch(train) [71][60/63] lr: 1.0000e-04 eta: 1 day, 14:50:25 time: 2.4444 data_time: 0.0887 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0694 loss: 0.2262 2022/08/26 03:58:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:00:29 - mmengine - INFO - Epoch(train) [72][5/63] lr: 1.0000e-04 eta: 1 day, 14:50:25 time: 12.1185 data_time: 9.9797 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0694 loss: 0.2251 2022/08/26 04:00:45 - mmengine - INFO - Epoch(train) [72][10/63] lr: 1.0000e-04 eta: 1 day, 14:58:36 time: 12.7951 data_time: 10.0465 memory: 28971 loss_text: 0.1696 loss_kernel: 0.0768 loss: 0.2464 2022/08/26 04:00:53 - mmengine - INFO - Epoch(train) [72][15/63] lr: 1.0000e-04 eta: 1 day, 14:58:36 time: 2.4824 data_time: 0.1349 memory: 28971 loss_text: 0.1755 loss_kernel: 0.0783 loss: 0.2538 2022/08/26 04:01:07 - mmengine - INFO - Epoch(train) [72][20/63] lr: 1.0000e-04 eta: 1 day, 14:55:04 time: 1.9195 data_time: 0.1263 memory: 28971 loss_text: 0.1800 loss_kernel: 0.0780 loss: 0.2580 2022/08/26 04:01:20 - mmengine - INFO - Epoch(train) [72][25/63] lr: 1.0000e-04 eta: 1 day, 14:55:04 time: 2.6747 data_time: 0.5955 memory: 28971 loss_text: 0.1646 loss_kernel: 0.0720 loss: 0.2365 2022/08/26 04:01:39 - mmengine - INFO - Epoch(train) [72][30/63] lr: 1.0000e-04 eta: 1 day, 14:53:25 time: 3.4444 data_time: 0.6531 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0705 loss: 0.2258 2022/08/26 04:01:45 - mmengine - INFO - Epoch(train) [72][35/63] lr: 1.0000e-04 eta: 1 day, 14:53:25 time: 2.4921 data_time: 0.2347 memory: 28971 loss_text: 0.1686 loss_kernel: 0.0764 loss: 0.2450 2022/08/26 04:02:04 - mmengine - INFO - Epoch(train) [72][40/63] lr: 1.0000e-04 eta: 1 day, 14:50:37 time: 2.4953 data_time: 0.2420 memory: 28971 loss_text: 0.1700 loss_kernel: 0.0755 loss: 0.2455 2022/08/26 04:02:09 - mmengine - INFO - Epoch(train) [72][45/63] lr: 1.0000e-04 eta: 1 day, 14:50:37 time: 2.4048 data_time: 0.2038 memory: 28971 loss_text: 0.1725 loss_kernel: 0.0763 loss: 0.2488 2022/08/26 04:02:27 - mmengine - INFO - Epoch(train) [72][50/63] lr: 1.0000e-04 eta: 1 day, 14:47:31 time: 2.2402 data_time: 0.1952 memory: 28971 loss_text: 0.1717 loss_kernel: 0.0762 loss: 0.2479 2022/08/26 04:02:47 - mmengine - INFO - Epoch(train) [72][55/63] lr: 1.0000e-04 eta: 1 day, 14:47:31 time: 3.7626 data_time: 0.1719 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0719 loss: 0.2314 2022/08/26 04:02:53 - mmengine - INFO - Epoch(train) [72][60/63] lr: 1.0000e-04 eta: 1 day, 14:44:56 time: 2.6606 data_time: 0.2520 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0686 loss: 0.2196 2022/08/26 04:03:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:05:04 - mmengine - INFO - Epoch(train) [73][5/63] lr: 1.0000e-04 eta: 1 day, 14:44:56 time: 13.1659 data_time: 10.0195 memory: 28971 loss_text: 0.1696 loss_kernel: 0.0766 loss: 0.2462 2022/08/26 04:05:10 - mmengine - INFO - Epoch(train) [73][10/63] lr: 1.0000e-04 eta: 1 day, 14:51:55 time: 11.9189 data_time: 10.0602 memory: 28971 loss_text: 0.1811 loss_kernel: 0.0781 loss: 0.2592 2022/08/26 04:05:27 - mmengine - INFO - Epoch(train) [73][15/63] lr: 1.0000e-04 eta: 1 day, 14:51:55 time: 2.2865 data_time: 0.1819 memory: 28971 loss_text: 0.1836 loss_kernel: 0.0791 loss: 0.2628 2022/08/26 04:05:44 - mmengine - INFO - Epoch(train) [73][20/63] lr: 1.0000e-04 eta: 1 day, 14:50:19 time: 3.4629 data_time: 0.1818 memory: 28971 loss_text: 0.1734 loss_kernel: 0.0769 loss: 0.2503 2022/08/26 04:05:49 - mmengine - INFO - Epoch(train) [73][25/63] lr: 1.0000e-04 eta: 1 day, 14:50:19 time: 2.2526 data_time: 0.1333 memory: 28971 loss_text: 0.1562 loss_kernel: 0.0716 loss: 0.2278 2022/08/26 04:06:05 - mmengine - INFO - Epoch(train) [73][30/63] lr: 1.0000e-04 eta: 1 day, 14:47:04 time: 2.1056 data_time: 0.0953 memory: 28971 loss_text: 0.1647 loss_kernel: 0.0750 loss: 0.2398 2022/08/26 04:06:13 - mmengine - INFO - Epoch(train) [73][35/63] lr: 1.0000e-04 eta: 1 day, 14:47:04 time: 2.4178 data_time: 0.1105 memory: 28971 loss_text: 0.1863 loss_kernel: 0.0834 loss: 0.2697 2022/08/26 04:06:37 - mmengine - INFO - Epoch(train) [73][40/63] lr: 1.0000e-04 eta: 1 day, 14:45:04 time: 3.1369 data_time: 0.1949 memory: 28971 loss_text: 0.1997 loss_kernel: 0.0874 loss: 0.2871 2022/08/26 04:06:41 - mmengine - INFO - Epoch(train) [73][45/63] lr: 1.0000e-04 eta: 1 day, 14:45:04 time: 2.8186 data_time: 0.1473 memory: 28971 loss_text: 0.1774 loss_kernel: 0.0775 loss: 0.2549 2022/08/26 04:06:59 - mmengine - INFO - Epoch(train) [73][50/63] lr: 1.0000e-04 eta: 1 day, 14:42:03 time: 2.2781 data_time: 0.2626 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0674 loss: 0.2146 2022/08/26 04:07:09 - mmengine - INFO - Epoch(train) [73][55/63] lr: 1.0000e-04 eta: 1 day, 14:42:03 time: 2.7912 data_time: 0.2309 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0640 loss: 0.2006 2022/08/26 04:07:24 - mmengine - INFO - Epoch(train) [73][60/63] lr: 1.0000e-04 eta: 1 day, 14:39:13 time: 2.4195 data_time: 0.1297 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0680 loss: 0.2111 2022/08/26 04:07:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:09:03 - mmengine - INFO - Epoch(train) [74][5/63] lr: 1.0000e-04 eta: 1 day, 14:39:13 time: 10.1738 data_time: 8.8403 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0641 loss: 0.2082 2022/08/26 04:09:08 - mmengine - INFO - Epoch(train) [74][10/63] lr: 1.0000e-04 eta: 1 day, 14:43:53 time: 10.0874 data_time: 8.8161 memory: 28971 loss_text: 0.1699 loss_kernel: 0.0755 loss: 0.2454 2022/08/26 04:09:18 - mmengine - INFO - Epoch(train) [74][15/63] lr: 1.0000e-04 eta: 1 day, 14:43:53 time: 1.5026 data_time: 0.0568 memory: 28971 loss_text: 0.1723 loss_kernel: 0.0769 loss: 0.2491 2022/08/26 04:09:23 - mmengine - INFO - Epoch(train) [74][20/63] lr: 1.0000e-04 eta: 1 day, 14:39:59 time: 1.5336 data_time: 0.0770 memory: 28971 loss_text: 0.1561 loss_kernel: 0.0692 loss: 0.2253 2022/08/26 04:09:28 - mmengine - INFO - Epoch(train) [74][25/63] lr: 1.0000e-04 eta: 1 day, 14:39:59 time: 0.9970 data_time: 0.0581 memory: 28971 loss_text: 0.1809 loss_kernel: 0.0803 loss: 0.2612 2022/08/26 04:09:37 - mmengine - INFO - Epoch(train) [74][30/63] lr: 1.0000e-04 eta: 1 day, 14:35:56 time: 1.3920 data_time: 0.0424 memory: 28971 loss_text: 0.1976 loss_kernel: 0.0886 loss: 0.2862 2022/08/26 04:09:43 - mmengine - INFO - Epoch(train) [74][35/63] lr: 1.0000e-04 eta: 1 day, 14:35:56 time: 1.4275 data_time: 0.0705 memory: 28971 loss_text: 0.1753 loss_kernel: 0.0780 loss: 0.2533 2022/08/26 04:09:47 - mmengine - INFO - Epoch(train) [74][40/63] lr: 1.0000e-04 eta: 1 day, 14:31:26 time: 0.9904 data_time: 0.0493 memory: 28971 loss_text: 0.1507 loss_kernel: 0.0666 loss: 0.2173 2022/08/26 04:10:00 - mmengine - INFO - Epoch(train) [74][45/63] lr: 1.0000e-04 eta: 1 day, 14:31:26 time: 1.7442 data_time: 0.0693 memory: 28971 loss_text: 0.1551 loss_kernel: 0.0697 loss: 0.2248 2022/08/26 04:10:04 - mmengine - INFO - Epoch(train) [74][50/63] lr: 1.0000e-04 eta: 1 day, 14:27:50 time: 1.7404 data_time: 0.0814 memory: 28971 loss_text: 0.1575 loss_kernel: 0.0715 loss: 0.2289 2022/08/26 04:10:13 - mmengine - INFO - Epoch(train) [74][55/63] lr: 1.0000e-04 eta: 1 day, 14:27:50 time: 1.3164 data_time: 0.0335 memory: 28971 loss_text: 0.1604 loss_kernel: 0.0717 loss: 0.2321 2022/08/26 04:10:19 - mmengine - INFO - Epoch(train) [74][60/63] lr: 1.0000e-04 eta: 1 day, 14:23:57 time: 1.4961 data_time: 0.0874 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0738 loss: 0.2410 2022/08/26 04:10:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:12:03 - mmengine - INFO - Epoch(train) [75][5/63] lr: 1.0000e-04 eta: 1 day, 14:23:57 time: 10.5358 data_time: 8.9966 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0653 loss: 0.2055 2022/08/26 04:12:08 - mmengine - INFO - Epoch(train) [75][10/63] lr: 1.0000e-04 eta: 1 day, 14:28:57 time: 10.4220 data_time: 9.0205 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0649 loss: 0.2081 2022/08/26 04:12:20 - mmengine - INFO - Epoch(train) [75][15/63] lr: 1.0000e-04 eta: 1 day, 14:28:57 time: 1.6990 data_time: 0.0718 memory: 28971 loss_text: 0.1674 loss_kernel: 0.0727 loss: 0.2401 2022/08/26 04:12:25 - mmengine - INFO - Epoch(train) [75][20/63] lr: 1.0000e-04 eta: 1 day, 14:25:21 time: 1.7150 data_time: 0.0915 memory: 28971 loss_text: 0.1795 loss_kernel: 0.0780 loss: 0.2575 2022/08/26 04:12:30 - mmengine - INFO - Epoch(train) [75][25/63] lr: 1.0000e-04 eta: 1 day, 14:25:21 time: 0.9927 data_time: 0.0608 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0736 loss: 0.2378 2022/08/26 04:12:42 - mmengine - INFO - Epoch(train) [75][30/63] lr: 1.0000e-04 eta: 1 day, 14:21:45 time: 1.7068 data_time: 0.0558 memory: 28971 loss_text: 0.1868 loss_kernel: 0.0830 loss: 0.2698 2022/08/26 04:12:46 - mmengine - INFO - Epoch(train) [75][35/63] lr: 1.0000e-04 eta: 1 day, 14:21:45 time: 1.6418 data_time: 0.0796 memory: 28971 loss_text: 0.2068 loss_kernel: 0.0896 loss: 0.2964 2022/08/26 04:12:51 - mmengine - INFO - Epoch(train) [75][40/63] lr: 1.0000e-04 eta: 1 day, 14:17:15 time: 0.9245 data_time: 0.0441 memory: 28971 loss_text: 0.1754 loss_kernel: 0.0759 loss: 0.2513 2022/08/26 04:13:02 - mmengine - INFO - Epoch(train) [75][45/63] lr: 1.0000e-04 eta: 1 day, 14:17:15 time: 1.4098 data_time: 0.0408 memory: 28971 loss_text: 0.1696 loss_kernel: 0.0758 loss: 0.2454 2022/08/26 04:13:10 - mmengine - INFO - Epoch(train) [75][50/63] lr: 1.0000e-04 eta: 1 day, 14:13:51 time: 1.8485 data_time: 0.2795 memory: 28971 loss_text: 0.1581 loss_kernel: 0.0729 loss: 0.2310 2022/08/26 04:13:44 - mmengine - INFO - Epoch(train) [75][55/63] lr: 1.0000e-04 eta: 1 day, 14:13:51 time: 4.0469 data_time: 0.3109 memory: 28971 loss_text: 0.1716 loss_kernel: 0.0749 loss: 0.2465 2022/08/26 04:14:12 - mmengine - INFO - Epoch(train) [75][60/63] lr: 1.0000e-04 eta: 1 day, 14:15:27 time: 6.1262 data_time: 0.4380 memory: 28971 loss_text: 0.1884 loss_kernel: 0.0779 loss: 0.2664 2022/08/26 04:14:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:16:18 - mmengine - INFO - Epoch(train) [76][5/63] lr: 1.0000e-04 eta: 1 day, 14:15:27 time: 13.7850 data_time: 9.8084 memory: 28971 loss_text: 0.1880 loss_kernel: 0.0806 loss: 0.2686 2022/08/26 04:16:25 - mmengine - INFO - Epoch(train) [76][10/63] lr: 1.0000e-04 eta: 1 day, 14:21:48 time: 11.6534 data_time: 9.7166 memory: 28971 loss_text: 0.1527 loss_kernel: 0.0680 loss: 0.2207 2022/08/26 04:16:41 - mmengine - INFO - Epoch(train) [76][15/63] lr: 1.0000e-04 eta: 1 day, 14:21:48 time: 2.2465 data_time: 0.0797 memory: 28971 loss_text: 0.1333 loss_kernel: 0.0603 loss: 0.1936 2022/08/26 04:17:03 - mmengine - INFO - Epoch(train) [76][20/63] lr: 1.0000e-04 eta: 1 day, 14:20:42 time: 3.8263 data_time: 0.4161 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0694 loss: 0.2245 2022/08/26 04:17:08 - mmengine - INFO - Epoch(train) [76][25/63] lr: 1.0000e-04 eta: 1 day, 14:20:42 time: 2.7773 data_time: 0.4879 memory: 28971 loss_text: 0.1808 loss_kernel: 0.0783 loss: 0.2590 2022/08/26 04:17:24 - mmengine - INFO - Epoch(train) [76][30/63] lr: 1.0000e-04 eta: 1 day, 14:17:36 time: 2.1017 data_time: 0.1157 memory: 28971 loss_text: 0.1896 loss_kernel: 0.0809 loss: 0.2706 2022/08/26 04:17:31 - mmengine - INFO - Epoch(train) [76][35/63] lr: 1.0000e-04 eta: 1 day, 14:17:36 time: 2.2365 data_time: 0.1504 memory: 28971 loss_text: 0.1736 loss_kernel: 0.0769 loss: 0.2504 2022/08/26 04:17:50 - mmengine - INFO - Epoch(train) [76][40/63] lr: 1.0000e-04 eta: 1 day, 14:15:04 time: 2.5754 data_time: 0.1428 memory: 28971 loss_text: 0.1645 loss_kernel: 0.0730 loss: 0.2375 2022/08/26 04:18:03 - mmengine - INFO - Epoch(train) [76][45/63] lr: 1.0000e-04 eta: 1 day, 14:15:04 time: 3.2057 data_time: 0.1330 memory: 28971 loss_text: 0.1923 loss_kernel: 0.0860 loss: 0.2783 2022/08/26 04:18:20 - mmengine - INFO - Epoch(train) [76][50/63] lr: 1.0000e-04 eta: 1 day, 14:13:00 time: 2.9788 data_time: 0.1498 memory: 28971 loss_text: 0.1845 loss_kernel: 0.0832 loss: 0.2677 2022/08/26 04:18:29 - mmengine - INFO - Epoch(train) [76][55/63] lr: 1.0000e-04 eta: 1 day, 14:13:00 time: 2.6222 data_time: 0.1421 memory: 28971 loss_text: 0.1670 loss_kernel: 0.0752 loss: 0.2422 2022/08/26 04:18:45 - mmengine - INFO - Epoch(train) [76][60/63] lr: 1.0000e-04 eta: 1 day, 14:10:27 time: 2.5521 data_time: 0.2723 memory: 28971 loss_text: 0.1782 loss_kernel: 0.0792 loss: 0.2573 2022/08/26 04:18:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:20:34 - mmengine - INFO - Epoch(train) [77][5/63] lr: 1.0000e-04 eta: 1 day, 14:10:27 time: 12.1797 data_time: 9.6833 memory: 28971 loss_text: 0.1622 loss_kernel: 0.0718 loss: 0.2340 2022/08/26 04:20:39 - mmengine - INFO - Epoch(train) [77][10/63] lr: 1.0000e-04 eta: 1 day, 14:16:02 time: 11.0701 data_time: 9.5562 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0631 loss: 0.1999 2022/08/26 04:20:54 - mmengine - INFO - Epoch(train) [77][15/63] lr: 1.0000e-04 eta: 1 day, 14:16:02 time: 2.0089 data_time: 0.1266 memory: 28971 loss_text: 0.1503 loss_kernel: 0.0681 loss: 0.2184 2022/08/26 04:20:59 - mmengine - INFO - Epoch(train) [77][20/63] lr: 1.0000e-04 eta: 1 day, 14:12:52 time: 2.0135 data_time: 0.1312 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0723 loss: 0.2310 2022/08/26 04:21:16 - mmengine - INFO - Epoch(train) [77][25/63] lr: 1.0000e-04 eta: 1 day, 14:12:52 time: 2.1432 data_time: 0.1338 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0601 loss: 0.1881 2022/08/26 04:21:21 - mmengine - INFO - Epoch(train) [77][30/63] lr: 1.0000e-04 eta: 1 day, 14:09:52 time: 2.1489 data_time: 0.1169 memory: 28971 loss_text: 0.1513 loss_kernel: 0.0674 loss: 0.2186 2022/08/26 04:21:38 - mmengine - INFO - Epoch(train) [77][35/63] lr: 1.0000e-04 eta: 1 day, 14:09:52 time: 2.2259 data_time: 0.1258 memory: 28971 loss_text: 0.1812 loss_kernel: 0.0780 loss: 0.2592 2022/08/26 04:21:55 - mmengine - INFO - Epoch(train) [77][40/63] lr: 1.0000e-04 eta: 1 day, 14:08:13 time: 3.3289 data_time: 0.0932 memory: 28971 loss_text: 0.1989 loss_kernel: 0.0879 loss: 0.2868 2022/08/26 04:21:59 - mmengine - INFO - Epoch(train) [77][45/63] lr: 1.0000e-04 eta: 1 day, 14:08:13 time: 2.1582 data_time: 0.1056 memory: 28971 loss_text: 0.1896 loss_kernel: 0.0854 loss: 0.2750 2022/08/26 04:22:15 - mmengine - INFO - Epoch(train) [77][50/63] lr: 1.0000e-04 eta: 1 day, 14:05:07 time: 2.0446 data_time: 0.2267 memory: 28971 loss_text: 0.1696 loss_kernel: 0.0758 loss: 0.2454 2022/08/26 04:22:20 - mmengine - INFO - Epoch(train) [77][55/63] lr: 1.0000e-04 eta: 1 day, 14:05:07 time: 2.1201 data_time: 0.1807 memory: 28971 loss_text: 0.1716 loss_kernel: 0.0770 loss: 0.2486 2022/08/26 04:22:37 - mmengine - INFO - Epoch(train) [77][60/63] lr: 1.0000e-04 eta: 1 day, 14:02:14 time: 2.2275 data_time: 0.1375 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0619 loss: 0.1966 2022/08/26 04:22:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:24:29 - mmengine - INFO - Epoch(train) [78][5/63] lr: 1.0000e-04 eta: 1 day, 14:02:14 time: 11.3917 data_time: 9.3566 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0690 loss: 0.2192 2022/08/26 04:24:35 - mmengine - INFO - Epoch(train) [78][10/63] lr: 1.0000e-04 eta: 1 day, 14:08:04 time: 11.3663 data_time: 9.3262 memory: 28971 loss_text: 0.1712 loss_kernel: 0.0767 loss: 0.2479 2022/08/26 04:24:59 - mmengine - INFO - Epoch(train) [78][15/63] lr: 1.0000e-04 eta: 1 day, 14:08:04 time: 2.9910 data_time: 0.1621 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0629 loss: 0.2052 2022/08/26 04:25:04 - mmengine - INFO - Epoch(train) [78][20/63] lr: 1.0000e-04 eta: 1 day, 14:05:58 time: 2.9105 data_time: 0.1757 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0645 loss: 0.2082 2022/08/26 04:25:21 - mmengine - INFO - Epoch(train) [78][25/63] lr: 1.0000e-04 eta: 1 day, 14:05:58 time: 2.1909 data_time: 0.1758 memory: 28971 loss_text: 0.1548 loss_kernel: 0.0708 loss: 0.2256 2022/08/26 04:25:31 - mmengine - INFO - Epoch(train) [78][30/63] lr: 1.0000e-04 eta: 1 day, 14:03:38 time: 2.7159 data_time: 0.1718 memory: 28971 loss_text: 0.1631 loss_kernel: 0.0745 loss: 0.2376 2022/08/26 04:25:46 - mmengine - INFO - Epoch(train) [78][35/63] lr: 1.0000e-04 eta: 1 day, 14:03:38 time: 2.5161 data_time: 0.2856 memory: 28971 loss_text: 0.1516 loss_kernel: 0.0681 loss: 0.2198 2022/08/26 04:26:00 - mmengine - INFO - Epoch(train) [78][40/63] lr: 1.0000e-04 eta: 1 day, 14:01:27 time: 2.8267 data_time: 0.3246 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0647 loss: 0.2091 2022/08/26 04:26:18 - mmengine - INFO - Epoch(train) [78][45/63] lr: 1.0000e-04 eta: 1 day, 14:01:27 time: 3.1390 data_time: 0.2018 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0695 loss: 0.2245 2022/08/26 04:26:38 - mmengine - INFO - Epoch(train) [78][50/63] lr: 1.0000e-04 eta: 1 day, 14:00:20 time: 3.7843 data_time: 0.1266 memory: 28971 loss_text: 0.1591 loss_kernel: 0.0702 loss: 0.2293 2022/08/26 04:26:42 - mmengine - INFO - Epoch(train) [78][55/63] lr: 1.0000e-04 eta: 1 day, 14:00:20 time: 2.4720 data_time: 0.0808 memory: 28971 loss_text: 0.1686 loss_kernel: 0.0747 loss: 0.2433 2022/08/26 04:26:57 - mmengine - INFO - Epoch(train) [78][60/63] lr: 1.0000e-04 eta: 1 day, 13:57:12 time: 1.9790 data_time: 0.1090 memory: 28971 loss_text: 0.1629 loss_kernel: 0.0737 loss: 0.2366 2022/08/26 04:27:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:28:54 - mmengine - INFO - Epoch(train) [79][5/63] lr: 1.0000e-04 eta: 1 day, 13:57:12 time: 12.8260 data_time: 9.7904 memory: 28971 loss_text: 0.1818 loss_kernel: 0.0825 loss: 0.2643 2022/08/26 04:29:03 - mmengine - INFO - Epoch(train) [79][10/63] lr: 1.0000e-04 eta: 1 day, 14:03:29 time: 11.8532 data_time: 9.6914 memory: 28971 loss_text: 0.1850 loss_kernel: 0.0829 loss: 0.2679 2022/08/26 04:29:14 - mmengine - INFO - Epoch(train) [79][15/63] lr: 1.0000e-04 eta: 1 day, 14:03:29 time: 2.0435 data_time: 0.1792 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0614 loss: 0.1921 2022/08/26 04:29:20 - mmengine - INFO - Epoch(train) [79][20/63] lr: 1.0000e-04 eta: 1 day, 14:00:05 time: 1.7293 data_time: 0.2076 memory: 28971 loss_text: 0.1203 loss_kernel: 0.0568 loss: 0.1771 2022/08/26 04:29:35 - mmengine - INFO - Epoch(train) [79][25/63] lr: 1.0000e-04 eta: 1 day, 14:00:05 time: 2.0518 data_time: 0.2020 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0600 loss: 0.1904 2022/08/26 04:29:39 - mmengine - INFO - Epoch(train) [79][30/63] lr: 1.0000e-04 eta: 1 day, 13:56:55 time: 1.9316 data_time: 0.1422 memory: 28971 loss_text: 0.1497 loss_kernel: 0.0666 loss: 0.2163 2022/08/26 04:29:56 - mmengine - INFO - Epoch(train) [79][35/63] lr: 1.0000e-04 eta: 1 day, 13:56:55 time: 2.0649 data_time: 0.1260 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0726 loss: 0.2347 2022/08/26 04:30:10 - mmengine - INFO - Epoch(train) [79][40/63] lr: 1.0000e-04 eta: 1 day, 13:55:01 time: 3.0556 data_time: 0.1345 memory: 28971 loss_text: 0.1551 loss_kernel: 0.0711 loss: 0.2262 2022/08/26 04:30:19 - mmengine - INFO - Epoch(train) [79][45/63] lr: 1.0000e-04 eta: 1 day, 13:55:01 time: 2.4179 data_time: 0.1163 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0648 loss: 0.2098 2022/08/26 04:30:24 - mmengine - INFO - Epoch(train) [79][50/63] lr: 1.0000e-04 eta: 1 day, 13:51:17 time: 1.4112 data_time: 0.0839 memory: 28971 loss_text: 0.1481 loss_kernel: 0.0632 loss: 0.2113 2022/08/26 04:30:42 - mmengine - INFO - Epoch(train) [79][55/63] lr: 1.0000e-04 eta: 1 day, 13:51:17 time: 2.1697 data_time: 0.1534 memory: 28971 loss_text: 0.1638 loss_kernel: 0.0710 loss: 0.2348 2022/08/26 04:31:01 - mmengine - INFO - Epoch(train) [79][60/63] lr: 1.0000e-04 eta: 1 day, 13:50:01 time: 3.6234 data_time: 0.2278 memory: 28971 loss_text: 0.1658 loss_kernel: 0.0758 loss: 0.2415 2022/08/26 04:31:06 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:32:50 - mmengine - INFO - Epoch(train) [80][5/63] lr: 1.0000e-04 eta: 1 day, 13:50:01 time: 12.5140 data_time: 9.3425 memory: 28971 loss_text: 0.1384 loss_kernel: 0.0618 loss: 0.2002 2022/08/26 04:32:56 - mmengine - INFO - Epoch(train) [80][10/63] lr: 1.0000e-04 eta: 1 day, 13:55:15 time: 10.9777 data_time: 9.1820 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0582 loss: 0.1927 2022/08/26 04:33:14 - mmengine - INFO - Epoch(train) [80][15/63] lr: 1.0000e-04 eta: 1 day, 13:55:15 time: 2.4169 data_time: 0.1986 memory: 28971 loss_text: 0.1186 loss_kernel: 0.0528 loss: 0.1714 2022/08/26 04:33:30 - mmengine - INFO - Epoch(train) [80][20/63] lr: 1.0000e-04 eta: 1 day, 13:53:38 time: 3.3291 data_time: 0.1862 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0694 loss: 0.2264 2022/08/26 04:33:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:33:36 - mmengine - INFO - Epoch(train) [80][25/63] lr: 1.0000e-04 eta: 1 day, 13:53:38 time: 2.1946 data_time: 0.1448 memory: 28971 loss_text: 0.2027 loss_kernel: 0.0912 loss: 0.2939 2022/08/26 04:33:54 - mmengine - INFO - Epoch(train) [80][30/63] lr: 1.0000e-04 eta: 1 day, 13:51:01 time: 2.3915 data_time: 0.1956 memory: 28971 loss_text: 0.1819 loss_kernel: 0.0814 loss: 0.2633 2022/08/26 04:34:12 - mmengine - INFO - Epoch(train) [80][35/63] lr: 1.0000e-04 eta: 1 day, 13:51:01 time: 3.5404 data_time: 0.2093 memory: 28971 loss_text: 0.1590 loss_kernel: 0.0711 loss: 0.2300 2022/08/26 04:34:29 - mmengine - INFO - Epoch(train) [80][40/63] lr: 1.0000e-04 eta: 1 day, 13:49:40 time: 3.5425 data_time: 0.2199 memory: 28971 loss_text: 0.1630 loss_kernel: 0.0724 loss: 0.2354 2022/08/26 04:34:34 - mmengine - INFO - Epoch(train) [80][45/63] lr: 1.0000e-04 eta: 1 day, 13:49:40 time: 2.2378 data_time: 0.2025 memory: 28971 loss_text: 0.1555 loss_kernel: 0.0681 loss: 0.2237 2022/08/26 04:34:54 - mmengine - INFO - Epoch(train) [80][50/63] lr: 1.0000e-04 eta: 1 day, 13:47:08 time: 2.4620 data_time: 0.2114 memory: 28971 loss_text: 0.1646 loss_kernel: 0.0751 loss: 0.2397 2022/08/26 04:35:15 - mmengine - INFO - Epoch(train) [80][55/63] lr: 1.0000e-04 eta: 1 day, 13:47:08 time: 4.0254 data_time: 0.2275 memory: 28971 loss_text: 0.1640 loss_kernel: 0.0754 loss: 0.2393 2022/08/26 04:35:25 - mmengine - INFO - Epoch(train) [80][60/63] lr: 1.0000e-04 eta: 1 day, 13:45:23 time: 3.1771 data_time: 0.2529 memory: 28971 loss_text: 0.1661 loss_kernel: 0.0742 loss: 0.2403 2022/08/26 04:35:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:35:50 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/26 04:36:41 - mmengine - INFO - Epoch(val) [80][5/500] eta: 1 day, 13:45:23 time: 4.3280 data_time: 3.2805 memory: 28971 2022/08/26 04:36:41 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:35:39 time: 4.3664 data_time: 3.3140 memory: 3207 2022/08/26 04:36:42 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:35:39 time: 0.1212 data_time: 0.0361 memory: 3207 2022/08/26 04:36:42 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:00:40 time: 0.0845 data_time: 0.0025 memory: 3207 2022/08/26 04:36:43 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:00:40 time: 0.0886 data_time: 0.0026 memory: 3207 2022/08/26 04:36:43 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:00:53 time: 0.1144 data_time: 0.0028 memory: 3207 2022/08/26 04:36:44 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:00:53 time: 0.1094 data_time: 0.0028 memory: 3207 2022/08/26 04:36:44 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:00:45 time: 0.0979 data_time: 0.0027 memory: 3207 2022/08/26 04:36:45 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:00:45 time: 0.1004 data_time: 0.0028 memory: 3207 2022/08/26 04:36:45 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:39 time: 0.0872 data_time: 0.0029 memory: 3207 2022/08/26 04:36:46 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:39 time: 0.1158 data_time: 0.0118 memory: 3207 2022/08/26 04:36:46 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:00:53 time: 0.1208 data_time: 0.0119 memory: 3207 2022/08/26 04:36:47 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:00:53 time: 0.0952 data_time: 0.0031 memory: 3207 2022/08/26 04:36:47 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:00:39 time: 0.0917 data_time: 0.0029 memory: 3207 2022/08/26 04:36:48 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:00:39 time: 0.0890 data_time: 0.0026 memory: 3207 2022/08/26 04:36:59 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:07:53 time: 1.1285 data_time: 0.1569 memory: 3207 2022/08/26 04:36:59 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:07:53 time: 1.1796 data_time: 0.2074 memory: 3207 2022/08/26 04:37:00 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:58 time: 0.1421 data_time: 0.0532 memory: 3207 2022/08/26 04:37:01 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:58 time: 0.1305 data_time: 0.0065 memory: 3207 2022/08/26 04:37:03 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:01:51 time: 0.2783 data_time: 0.0652 memory: 3207 2022/08/26 04:37:05 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:01:51 time: 0.4572 data_time: 0.0648 memory: 3207 2022/08/26 04:37:06 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:01:59 time: 0.3070 data_time: 0.0062 memory: 3207 2022/08/26 04:37:06 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:01:59 time: 0.0881 data_time: 0.0028 memory: 3207 2022/08/26 04:37:07 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:35 time: 0.0945 data_time: 0.0096 memory: 3207 2022/08/26 04:37:07 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:35 time: 0.0925 data_time: 0.0095 memory: 3207 2022/08/26 04:37:08 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:00:30 time: 0.0835 data_time: 0.0028 memory: 3207 2022/08/26 04:37:08 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:00:30 time: 0.0844 data_time: 0.0028 memory: 3207 2022/08/26 04:37:09 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:38 time: 0.1062 data_time: 0.0028 memory: 3207 2022/08/26 04:37:15 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:38 time: 0.7158 data_time: 0.0048 memory: 3207 2022/08/26 04:37:20 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:06:31 time: 1.1176 data_time: 0.0299 memory: 3207 2022/08/26 04:37:20 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:06:31 time: 0.5128 data_time: 0.0279 memory: 3207 2022/08/26 04:37:21 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:31 time: 0.0928 data_time: 0.0028 memory: 3207 2022/08/26 04:37:21 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:31 time: 0.0905 data_time: 0.0042 memory: 3207 2022/08/26 04:37:22 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:29 time: 0.0892 data_time: 0.0042 memory: 3207 2022/08/26 04:37:22 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:29 time: 0.0844 data_time: 0.0028 memory: 3207 2022/08/26 04:37:22 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:26 time: 0.0829 data_time: 0.0027 memory: 3207 2022/08/26 04:37:23 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:26 time: 0.1023 data_time: 0.0027 memory: 3207 2022/08/26 04:37:24 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:35 time: 0.1150 data_time: 0.0028 memory: 3207 2022/08/26 04:37:24 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:35 time: 0.0967 data_time: 0.0028 memory: 3207 2022/08/26 04:37:24 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:27 time: 0.0918 data_time: 0.0029 memory: 3207 2022/08/26 04:37:25 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:27 time: 0.0910 data_time: 0.0028 memory: 3207 2022/08/26 04:37:30 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:02:43 time: 0.5647 data_time: 0.0898 memory: 3207 2022/08/26 04:37:33 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:02:43 time: 0.7812 data_time: 0.1612 memory: 3207 2022/08/26 04:37:36 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:02:36 time: 0.5603 data_time: 0.0984 memory: 3207 2022/08/26 04:37:36 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:02:36 time: 0.3520 data_time: 0.0284 memory: 3207 2022/08/26 04:37:37 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:24 time: 0.0894 data_time: 0.0039 memory: 3207 2022/08/26 04:37:37 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:24 time: 0.1113 data_time: 0.0027 memory: 3207 2022/08/26 04:37:38 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:36 time: 0.1404 data_time: 0.0027 memory: 3207 2022/08/26 04:37:39 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:36 time: 0.1177 data_time: 0.0097 memory: 3207 2022/08/26 04:37:39 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:26 time: 0.1042 data_time: 0.0207 memory: 3207 2022/08/26 04:37:40 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:26 time: 0.0966 data_time: 0.0136 memory: 3207 2022/08/26 04:37:40 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:20 time: 0.0864 data_time: 0.0044 memory: 3207 2022/08/26 04:37:45 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:20 time: 0.5656 data_time: 0.0676 memory: 3207 2022/08/26 04:37:46 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:02:14 time: 0.5861 data_time: 0.0775 memory: 3207 2022/08/26 04:37:51 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:02:14 time: 0.5661 data_time: 0.0972 memory: 3207 2022/08/26 04:37:52 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:02:16 time: 0.6196 data_time: 0.1477 memory: 3207 2022/08/26 04:37:53 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:02:16 time: 0.2270 data_time: 0.0660 memory: 3207 2022/08/26 04:38:00 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:02:49 time: 0.8085 data_time: 0.0945 memory: 3207 2022/08/26 04:38:02 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:02:49 time: 0.8997 data_time: 0.0976 memory: 3207 2022/08/26 04:38:03 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:00:53 time: 0.2671 data_time: 0.0254 memory: 3207 2022/08/26 04:38:03 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:00:53 time: 0.1241 data_time: 0.0353 memory: 3207 2022/08/26 04:38:05 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:00:43 time: 0.2279 data_time: 0.0179 memory: 3207 2022/08/26 04:38:09 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:43 time: 0.5175 data_time: 0.0094 memory: 3207 2022/08/26 04:38:09 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:01:14 time: 0.4130 data_time: 0.0327 memory: 3207 2022/08/26 04:38:17 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:01:14 time: 0.7858 data_time: 0.3964 memory: 3207 2022/08/26 04:38:17 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:02:19 time: 0.8194 data_time: 0.4174 memory: 3207 2022/08/26 04:38:18 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:02:19 time: 0.1422 data_time: 0.0480 memory: 3207 2022/08/26 04:38:19 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:21 time: 0.1325 data_time: 0.0065 memory: 3207 2022/08/26 04:38:19 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:21 time: 0.1344 data_time: 0.0064 memory: 3207 2022/08/26 04:38:20 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:13 time: 0.0901 data_time: 0.0026 memory: 3207 2022/08/26 04:38:20 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:13 time: 0.0905 data_time: 0.0025 memory: 3207 2022/08/26 04:38:21 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:13 time: 0.0933 data_time: 0.0025 memory: 3207 2022/08/26 04:38:21 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:13 time: 0.0925 data_time: 0.0027 memory: 3207 2022/08/26 04:38:21 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:10 time: 0.0832 data_time: 0.0026 memory: 3207 2022/08/26 04:38:22 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:10 time: 0.0814 data_time: 0.0026 memory: 3207 2022/08/26 04:38:22 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:10 time: 0.0862 data_time: 0.0026 memory: 3207 2022/08/26 04:38:23 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:10 time: 0.0888 data_time: 0.0047 memory: 3207 2022/08/26 04:38:23 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:09 time: 0.0880 data_time: 0.0047 memory: 3207 2022/08/26 04:38:24 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:09 time: 0.0862 data_time: 0.0025 memory: 3207 2022/08/26 04:38:24 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:09 time: 0.0940 data_time: 0.0062 memory: 3207 2022/08/26 04:38:26 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:09 time: 0.2012 data_time: 0.0393 memory: 3207 2022/08/26 04:38:26 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:17 time: 0.1996 data_time: 0.0357 memory: 3207 2022/08/26 04:38:27 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:17 time: 0.0937 data_time: 0.0028 memory: 3207 2022/08/26 04:38:32 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:47 time: 0.5891 data_time: 0.0110 memory: 3207 2022/08/26 04:38:33 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:47 time: 0.6050 data_time: 0.0273 memory: 3207 2022/08/26 04:38:33 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:07 time: 0.1014 data_time: 0.0191 memory: 3207 2022/08/26 04:38:33 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:07 time: 0.0841 data_time: 0.0025 memory: 3207 2022/08/26 04:38:34 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:04 time: 0.0833 data_time: 0.0024 memory: 3207 2022/08/26 04:38:35 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:04 time: 0.1890 data_time: 0.0168 memory: 3207 2022/08/26 04:38:36 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:11 time: 0.2243 data_time: 0.0261 memory: 3207 2022/08/26 04:38:37 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:11 time: 0.1240 data_time: 0.0119 memory: 3207 2022/08/26 04:38:37 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:03 time: 0.0909 data_time: 0.0028 memory: 3207 2022/08/26 04:38:38 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:03 time: 0.0943 data_time: 0.0134 memory: 3207 2022/08/26 04:38:38 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:03 time: 0.1002 data_time: 0.0133 memory: 3207 2022/08/26 04:38:38 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:03 time: 0.0896 data_time: 0.0026 memory: 3207 2022/08/26 04:38:39 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:01 time: 0.0823 data_time: 0.0026 memory: 3207 2022/08/26 04:38:39 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:01 time: 0.0843 data_time: 0.0026 memory: 3207 2022/08/26 04:38:40 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:01 time: 0.1030 data_time: 0.0034 memory: 3207 2022/08/26 04:38:41 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:01 time: 0.1373 data_time: 0.0200 memory: 3207 2022/08/26 04:38:42 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.1906 data_time: 0.0199 memory: 3207 2022/08/26 04:38:42 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 04:38:42 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7809, precision: 0.5555, hmean: 0.6492 2022/08/26 04:38:42 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7809, precision: 0.5555, hmean: 0.6492 2022/08/26 04:38:42 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7809, precision: 0.5555, hmean: 0.6492 2022/08/26 04:38:42 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7809, precision: 0.5990, hmean: 0.6780 2022/08/26 04:38:42 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7805, precision: 0.6555, hmean: 0.7125 2022/08/26 04:38:42 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7776, precision: 0.7090, hmean: 0.7417 2022/08/26 04:38:42 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7482, precision: 0.7986, hmean: 0.7726 2022/08/26 04:38:42 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.7986 icdar/recall: 0.7482 icdar/hmean: 0.7726 2022/08/26 04:40:35 - mmengine - INFO - Epoch(train) [81][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 14.3397 data_time: 9.9321 memory: 28971 loss_text: 0.1477 loss_kernel: 0.0650 loss: 0.2127 2022/08/26 04:40:48 - mmengine - INFO - Epoch(train) [81][10/63] lr: 1.0000e-04 eta: 1 day, 13:52:15 time: 12.5771 data_time: 9.9186 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0644 loss: 0.2137 2022/08/26 04:40:57 - mmengine - INFO - Epoch(train) [81][15/63] lr: 1.0000e-04 eta: 1 day, 13:52:15 time: 2.3020 data_time: 0.1927 memory: 28971 loss_text: 0.1698 loss_kernel: 0.0767 loss: 0.2465 2022/08/26 04:41:16 - mmengine - INFO - Epoch(train) [81][20/63] lr: 1.0000e-04 eta: 1 day, 13:50:02 time: 2.7600 data_time: 0.2660 memory: 28971 loss_text: 0.1749 loss_kernel: 0.0785 loss: 0.2534 2022/08/26 04:41:20 - mmengine - INFO - Epoch(train) [81][25/63] lr: 1.0000e-04 eta: 1 day, 13:50:02 time: 2.2722 data_time: 0.1989 memory: 28971 loss_text: 0.1653 loss_kernel: 0.0723 loss: 0.2376 2022/08/26 04:41:38 - mmengine - INFO - Epoch(train) [81][30/63] lr: 1.0000e-04 eta: 1 day, 13:47:13 time: 2.1781 data_time: 0.1510 memory: 28971 loss_text: 0.1483 loss_kernel: 0.0665 loss: 0.2148 2022/08/26 04:41:56 - mmengine - INFO - Epoch(train) [81][35/63] lr: 1.0000e-04 eta: 1 day, 13:47:13 time: 3.5571 data_time: 0.1610 memory: 28971 loss_text: 0.1525 loss_kernel: 0.0689 loss: 0.2213 2022/08/26 04:42:18 - mmengine - INFO - Epoch(train) [81][40/63] lr: 1.0000e-04 eta: 1 day, 13:46:23 time: 4.0224 data_time: 0.2481 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0669 loss: 0.2145 2022/08/26 04:42:31 - mmengine - INFO - Epoch(train) [81][45/63] lr: 1.0000e-04 eta: 1 day, 13:46:23 time: 3.4873 data_time: 0.2723 memory: 28971 loss_text: 0.1660 loss_kernel: 0.0746 loss: 0.2407 2022/08/26 04:42:52 - mmengine - INFO - Epoch(train) [81][50/63] lr: 1.0000e-04 eta: 1 day, 13:44:51 time: 3.3829 data_time: 0.2992 memory: 28971 loss_text: 0.1720 loss_kernel: 0.0785 loss: 0.2505 2022/08/26 04:43:22 - mmengine - INFO - Epoch(train) [81][55/63] lr: 1.0000e-04 eta: 1 day, 13:44:51 time: 5.0766 data_time: 0.5686 memory: 28971 loss_text: 0.1612 loss_kernel: 0.0749 loss: 0.2361 2022/08/26 04:43:57 - mmengine - INFO - Epoch(train) [81][60/63] lr: 1.0000e-04 eta: 1 day, 13:46:41 time: 6.5034 data_time: 0.8003 memory: 28971 loss_text: 0.1634 loss_kernel: 0.0748 loss: 0.2383 2022/08/26 04:44:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:46:06 - mmengine - INFO - Epoch(train) [82][5/63] lr: 1.0000e-04 eta: 1 day, 13:46:41 time: 14.4041 data_time: 10.0979 memory: 28971 loss_text: 0.1679 loss_kernel: 0.0754 loss: 0.2433 2022/08/26 04:46:25 - mmengine - INFO - Epoch(train) [82][10/63] lr: 1.0000e-04 eta: 1 day, 13:53:35 time: 12.7410 data_time: 9.6765 memory: 28971 loss_text: 0.1656 loss_kernel: 0.0730 loss: 0.2386 2022/08/26 04:46:32 - mmengine - INFO - Epoch(train) [82][15/63] lr: 1.0000e-04 eta: 1 day, 13:53:35 time: 2.6254 data_time: 0.1568 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0649 loss: 0.2095 2022/08/26 04:46:37 - mmengine - INFO - Epoch(train) [82][20/63] lr: 1.0000e-04 eta: 1 day, 13:49:50 time: 1.2903 data_time: 0.1344 memory: 28971 loss_text: 0.1454 loss_kernel: 0.0656 loss: 0.2110 2022/08/26 04:46:55 - mmengine - INFO - Epoch(train) [82][25/63] lr: 1.0000e-04 eta: 1 day, 13:49:50 time: 2.1695 data_time: 0.1134 memory: 28971 loss_text: 0.1684 loss_kernel: 0.0749 loss: 0.2433 2022/08/26 04:46:59 - mmengine - INFO - Epoch(train) [82][30/63] lr: 1.0000e-04 eta: 1 day, 13:47:02 time: 2.1943 data_time: 0.1683 memory: 28971 loss_text: 0.1768 loss_kernel: 0.0792 loss: 0.2560 2022/08/26 04:47:10 - mmengine - INFO - Epoch(train) [82][35/63] lr: 1.0000e-04 eta: 1 day, 13:47:02 time: 1.5590 data_time: 0.1050 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0750 loss: 0.2377 2022/08/26 04:47:15 - mmengine - INFO - Epoch(train) [82][40/63] lr: 1.0000e-04 eta: 1 day, 13:43:37 time: 1.5850 data_time: 0.0765 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0765 loss: 0.2480 2022/08/26 04:47:30 - mmengine - INFO - Epoch(train) [82][45/63] lr: 1.0000e-04 eta: 1 day, 13:43:37 time: 1.9864 data_time: 0.1362 memory: 28971 loss_text: 0.1593 loss_kernel: 0.0705 loss: 0.2298 2022/08/26 04:47:35 - mmengine - INFO - Epoch(train) [82][50/63] lr: 1.0000e-04 eta: 1 day, 13:40:40 time: 2.0273 data_time: 0.1398 memory: 28971 loss_text: 0.1509 loss_kernel: 0.0687 loss: 0.2196 2022/08/26 04:47:58 - mmengine - INFO - Epoch(train) [82][55/63] lr: 1.0000e-04 eta: 1 day, 13:40:40 time: 2.8464 data_time: 0.1560 memory: 28971 loss_text: 0.1577 loss_kernel: 0.0695 loss: 0.2272 2022/08/26 04:48:18 - mmengine - INFO - Epoch(train) [82][60/63] lr: 1.0000e-04 eta: 1 day, 13:40:08 time: 4.2921 data_time: 0.1886 memory: 28971 loss_text: 0.1708 loss_kernel: 0.0735 loss: 0.2443 2022/08/26 04:48:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:50:09 - mmengine - INFO - Epoch(train) [83][5/63] lr: 1.0000e-04 eta: 1 day, 13:40:08 time: 11.4018 data_time: 9.5734 memory: 28971 loss_text: 0.1829 loss_kernel: 0.0830 loss: 0.2660 2022/08/26 04:50:15 - mmengine - INFO - Epoch(train) [83][10/63] lr: 1.0000e-04 eta: 1 day, 13:45:12 time: 11.0816 data_time: 9.4650 memory: 28971 loss_text: 0.1754 loss_kernel: 0.0788 loss: 0.2542 2022/08/26 04:50:32 - mmengine - INFO - Epoch(train) [83][15/63] lr: 1.0000e-04 eta: 1 day, 13:45:12 time: 2.2708 data_time: 0.2750 memory: 28971 loss_text: 0.1479 loss_kernel: 0.0672 loss: 0.2151 2022/08/26 04:50:49 - mmengine - INFO - Epoch(train) [83][20/63] lr: 1.0000e-04 eta: 1 day, 13:43:41 time: 3.3864 data_time: 0.2992 memory: 28971 loss_text: 0.1524 loss_kernel: 0.0706 loss: 0.2230 2022/08/26 04:50:54 - mmengine - INFO - Epoch(train) [83][25/63] lr: 1.0000e-04 eta: 1 day, 13:43:41 time: 2.2054 data_time: 0.1640 memory: 28971 loss_text: 0.1684 loss_kernel: 0.0768 loss: 0.2452 2022/08/26 04:51:10 - mmengine - INFO - Epoch(train) [83][30/63] lr: 1.0000e-04 eta: 1 day, 13:40:53 time: 2.1575 data_time: 0.2004 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0762 loss: 0.2431 2022/08/26 04:51:14 - mmengine - INFO - Epoch(train) [83][35/63] lr: 1.0000e-04 eta: 1 day, 13:40:53 time: 2.0785 data_time: 0.1564 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0749 loss: 0.2421 2022/08/26 04:51:32 - mmengine - INFO - Epoch(train) [83][40/63] lr: 1.0000e-04 eta: 1 day, 13:38:10 time: 2.2103 data_time: 0.1571 memory: 28971 loss_text: 0.1997 loss_kernel: 0.0868 loss: 0.2864 2022/08/26 04:51:51 - mmengine - INFO - Epoch(train) [83][45/63] lr: 1.0000e-04 eta: 1 day, 13:38:10 time: 3.6099 data_time: 0.2385 memory: 28971 loss_text: 0.1895 loss_kernel: 0.0835 loss: 0.2730 2022/08/26 04:52:05 - mmengine - INFO - Epoch(train) [83][50/63] lr: 1.0000e-04 eta: 1 day, 13:36:33 time: 3.2767 data_time: 0.2101 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0675 loss: 0.2205 2022/08/26 04:52:18 - mmengine - INFO - Epoch(train) [83][55/63] lr: 1.0000e-04 eta: 1 day, 13:36:33 time: 2.7169 data_time: 0.1871 memory: 28971 loss_text: 0.1544 loss_kernel: 0.0687 loss: 0.2231 2022/08/26 04:52:51 - mmengine - INFO - Epoch(train) [83][60/63] lr: 1.0000e-04 eta: 1 day, 13:36:14 time: 4.5184 data_time: 0.1361 memory: 28971 loss_text: 0.1610 loss_kernel: 0.0741 loss: 0.2351 2022/08/26 04:53:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:54:58 - mmengine - INFO - Epoch(train) [84][5/63] lr: 1.0000e-04 eta: 1 day, 13:36:14 time: 14.6278 data_time: 9.6195 memory: 28971 loss_text: 0.1624 loss_kernel: 0.0740 loss: 0.2364 2022/08/26 04:55:04 - mmengine - INFO - Epoch(train) [84][10/63] lr: 1.0000e-04 eta: 1 day, 13:41:35 time: 11.4390 data_time: 9.4702 memory: 28971 loss_text: 0.1778 loss_kernel: 0.0785 loss: 0.2563 2022/08/26 04:55:20 - mmengine - INFO - Epoch(train) [84][15/63] lr: 1.0000e-04 eta: 1 day, 13:41:35 time: 2.1211 data_time: 0.1121 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0688 loss: 0.2245 2022/08/26 04:55:25 - mmengine - INFO - Epoch(train) [84][20/63] lr: 1.0000e-04 eta: 1 day, 13:38:44 time: 2.0734 data_time: 0.1174 memory: 28971 loss_text: 0.1571 loss_kernel: 0.0700 loss: 0.2270 2022/08/26 04:55:45 - mmengine - INFO - Epoch(train) [84][25/63] lr: 1.0000e-04 eta: 1 day, 13:38:44 time: 2.5552 data_time: 0.1613 memory: 28971 loss_text: 0.1613 loss_kernel: 0.0725 loss: 0.2338 2022/08/26 04:55:51 - mmengine - INFO - Epoch(train) [84][30/63] lr: 1.0000e-04 eta: 1 day, 13:36:27 time: 2.6279 data_time: 0.1051 memory: 28971 loss_text: 0.1591 loss_kernel: 0.0719 loss: 0.2311 2022/08/26 04:56:07 - mmengine - INFO - Epoch(train) [84][35/63] lr: 1.0000e-04 eta: 1 day, 13:36:27 time: 2.2158 data_time: 0.1345 memory: 28971 loss_text: 0.1827 loss_kernel: 0.0805 loss: 0.2632 2022/08/26 04:56:22 - mmengine - INFO - Epoch(train) [84][40/63] lr: 1.0000e-04 eta: 1 day, 13:34:42 time: 3.1352 data_time: 0.2745 memory: 28971 loss_text: 0.1908 loss_kernel: 0.0842 loss: 0.2750 2022/08/26 04:56:28 - mmengine - INFO - Epoch(train) [84][45/63] lr: 1.0000e-04 eta: 1 day, 13:34:42 time: 2.0621 data_time: 0.2034 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0698 loss: 0.2251 2022/08/26 04:56:48 - mmengine - INFO - Epoch(train) [84][50/63] lr: 1.0000e-04 eta: 1 day, 13:32:18 time: 2.5024 data_time: 0.1797 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0666 loss: 0.2134 2022/08/26 04:56:53 - mmengine - INFO - Epoch(train) [84][55/63] lr: 1.0000e-04 eta: 1 day, 13:32:18 time: 2.5082 data_time: 0.2492 memory: 28971 loss_text: 0.1544 loss_kernel: 0.0707 loss: 0.2250 2022/08/26 04:57:11 - mmengine - INFO - Epoch(train) [84][60/63] lr: 1.0000e-04 eta: 1 day, 13:29:46 time: 2.3505 data_time: 0.1392 memory: 28971 loss_text: 0.1609 loss_kernel: 0.0728 loss: 0.2337 2022/08/26 04:57:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 04:58:59 - mmengine - INFO - Epoch(train) [85][5/63] lr: 1.0000e-04 eta: 1 day, 13:29:46 time: 12.3204 data_time: 9.2819 memory: 28971 loss_text: 0.1704 loss_kernel: 0.0765 loss: 0.2469 2022/08/26 04:59:04 - mmengine - INFO - Epoch(train) [85][10/63] lr: 1.0000e-04 eta: 1 day, 13:34:27 time: 10.8562 data_time: 9.2628 memory: 28971 loss_text: 0.1588 loss_kernel: 0.0720 loss: 0.2308 2022/08/26 04:59:18 - mmengine - INFO - Epoch(train) [85][15/63] lr: 1.0000e-04 eta: 1 day, 13:34:27 time: 1.8636 data_time: 0.1219 memory: 28971 loss_text: 0.1438 loss_kernel: 0.0667 loss: 0.2105 2022/08/26 04:59:23 - mmengine - INFO - Epoch(train) [85][20/63] lr: 1.0000e-04 eta: 1 day, 13:31:23 time: 1.8347 data_time: 0.1427 memory: 28971 loss_text: 0.1644 loss_kernel: 0.0755 loss: 0.2399 2022/08/26 04:59:40 - mmengine - INFO - Epoch(train) [85][25/63] lr: 1.0000e-04 eta: 1 day, 13:31:23 time: 2.1835 data_time: 0.1470 memory: 28971 loss_text: 0.1653 loss_kernel: 0.0752 loss: 0.2404 2022/08/26 04:59:44 - mmengine - INFO - Epoch(train) [85][30/63] lr: 1.0000e-04 eta: 1 day, 13:28:39 time: 2.1637 data_time: 0.1287 memory: 28971 loss_text: 0.1633 loss_kernel: 0.0676 loss: 0.2309 2022/08/26 04:59:59 - mmengine - INFO - Epoch(train) [85][35/63] lr: 1.0000e-04 eta: 1 day, 13:28:39 time: 1.9762 data_time: 0.1329 memory: 28971 loss_text: 0.1640 loss_kernel: 0.0697 loss: 0.2337 2022/08/26 05:00:04 - mmengine - INFO - Epoch(train) [85][40/63] lr: 1.0000e-04 eta: 1 day, 13:25:47 time: 1.9992 data_time: 0.1309 memory: 28971 loss_text: 0.1622 loss_kernel: 0.0735 loss: 0.2357 2022/08/26 05:00:20 - mmengine - INFO - Epoch(train) [85][45/63] lr: 1.0000e-04 eta: 1 day, 13:25:47 time: 2.0116 data_time: 0.1868 memory: 28971 loss_text: 0.1699 loss_kernel: 0.0757 loss: 0.2456 2022/08/26 05:00:24 - mmengine - INFO - Epoch(train) [85][50/63] lr: 1.0000e-04 eta: 1 day, 13:22:55 time: 2.0020 data_time: 0.1722 memory: 28971 loss_text: 0.1604 loss_kernel: 0.0720 loss: 0.2324 2022/08/26 05:00:44 - mmengine - INFO - Epoch(train) [85][55/63] lr: 1.0000e-04 eta: 1 day, 13:22:55 time: 2.4577 data_time: 0.3121 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0687 loss: 0.2252 2022/08/26 05:00:49 - mmengine - INFO - Epoch(train) [85][60/63] lr: 1.0000e-04 eta: 1 day, 13:20:32 time: 2.4782 data_time: 0.3491 memory: 28971 loss_text: 0.1537 loss_kernel: 0.0681 loss: 0.2218 2022/08/26 05:01:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:02:54 - mmengine - INFO - Epoch(train) [86][5/63] lr: 1.0000e-04 eta: 1 day, 13:20:32 time: 12.5548 data_time: 9.4832 memory: 28971 loss_text: 0.1541 loss_kernel: 0.0700 loss: 0.2241 2022/08/26 05:03:00 - mmengine - INFO - Epoch(train) [86][10/63] lr: 1.0000e-04 eta: 1 day, 13:25:30 time: 11.1994 data_time: 9.5210 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0691 loss: 0.2159 2022/08/26 05:03:14 - mmengine - INFO - Epoch(train) [86][15/63] lr: 1.0000e-04 eta: 1 day, 13:25:30 time: 2.0183 data_time: 0.0873 memory: 28971 loss_text: 0.1447 loss_kernel: 0.0671 loss: 0.2118 2022/08/26 05:03:20 - mmengine - INFO - Epoch(train) [86][20/63] lr: 1.0000e-04 eta: 1 day, 13:22:39 time: 2.0215 data_time: 0.1104 memory: 28971 loss_text: 0.1660 loss_kernel: 0.0747 loss: 0.2407 2022/08/26 05:03:40 - mmengine - INFO - Epoch(train) [86][25/63] lr: 1.0000e-04 eta: 1 day, 13:22:39 time: 2.6336 data_time: 0.2481 memory: 28971 loss_text: 0.1689 loss_kernel: 0.0768 loss: 0.2458 2022/08/26 05:04:02 - mmengine - INFO - Epoch(train) [86][30/63] lr: 1.0000e-04 eta: 1 day, 13:21:59 time: 4.1618 data_time: 0.2504 memory: 28971 loss_text: 0.1538 loss_kernel: 0.0706 loss: 0.2244 2022/08/26 05:04:20 - mmengine - INFO - Epoch(train) [86][35/63] lr: 1.0000e-04 eta: 1 day, 13:21:59 time: 4.0081 data_time: 0.2056 memory: 28971 loss_text: 0.1484 loss_kernel: 0.0676 loss: 0.2160 2022/08/26 05:04:31 - mmengine - INFO - Epoch(train) [86][40/63] lr: 1.0000e-04 eta: 1 day, 13:20:05 time: 2.9565 data_time: 0.2202 memory: 28971 loss_text: 0.1632 loss_kernel: 0.0743 loss: 0.2374 2022/08/26 05:04:46 - mmengine - INFO - Epoch(train) [86][45/63] lr: 1.0000e-04 eta: 1 day, 13:20:05 time: 2.5400 data_time: 0.1646 memory: 28971 loss_text: 0.1669 loss_kernel: 0.0761 loss: 0.2429 2022/08/26 05:05:04 - mmengine - INFO - Epoch(train) [86][50/63] lr: 1.0000e-04 eta: 1 day, 13:18:33 time: 3.2906 data_time: 0.2154 memory: 28971 loss_text: 0.1747 loss_kernel: 0.0774 loss: 0.2521 2022/08/26 05:05:20 - mmengine - INFO - Epoch(train) [86][55/63] lr: 1.0000e-04 eta: 1 day, 13:18:33 time: 3.4637 data_time: 0.1918 memory: 28971 loss_text: 0.1978 loss_kernel: 0.0872 loss: 0.2850 2022/08/26 05:05:28 - mmengine - INFO - Epoch(train) [86][60/63] lr: 1.0000e-04 eta: 1 day, 13:16:09 time: 2.4470 data_time: 0.1929 memory: 28971 loss_text: 0.1857 loss_kernel: 0.0823 loss: 0.2680 2022/08/26 05:05:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:07:11 - mmengine - INFO - Epoch(train) [87][5/63] lr: 1.0000e-04 eta: 1 day, 13:16:09 time: 10.4033 data_time: 8.8879 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0591 loss: 0.1900 2022/08/26 05:07:15 - mmengine - INFO - Epoch(train) [87][10/63] lr: 1.0000e-04 eta: 1 day, 13:20:11 time: 10.3444 data_time: 8.9052 memory: 28971 loss_text: 0.1818 loss_kernel: 0.0818 loss: 0.2636 2022/08/26 05:07:25 - mmengine - INFO - Epoch(train) [87][15/63] lr: 1.0000e-04 eta: 1 day, 13:20:11 time: 1.3827 data_time: 0.0395 memory: 28971 loss_text: 0.1783 loss_kernel: 0.0784 loss: 0.2567 2022/08/26 05:07:29 - mmengine - INFO - Epoch(train) [87][20/63] lr: 1.0000e-04 eta: 1 day, 13:16:48 time: 1.4256 data_time: 0.0669 memory: 28971 loss_text: 0.1612 loss_kernel: 0.0708 loss: 0.2321 2022/08/26 05:07:35 - mmengine - INFO - Epoch(train) [87][25/63] lr: 1.0000e-04 eta: 1 day, 13:16:48 time: 1.0054 data_time: 0.0613 memory: 28971 loss_text: 0.1703 loss_kernel: 0.0750 loss: 0.2454 2022/08/26 05:07:46 - mmengine - INFO - Epoch(train) [87][30/63] lr: 1.0000e-04 eta: 1 day, 13:13:36 time: 1.6197 data_time: 0.0252 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0725 loss: 0.2366 2022/08/26 05:07:50 - mmengine - INFO - Epoch(train) [87][35/63] lr: 1.0000e-04 eta: 1 day, 13:13:36 time: 1.5709 data_time: 0.0664 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0584 loss: 0.1842 2022/08/26 05:07:55 - mmengine - INFO - Epoch(train) [87][40/63] lr: 1.0000e-04 eta: 1 day, 13:09:42 time: 0.8986 data_time: 0.0664 memory: 28971 loss_text: 0.1559 loss_kernel: 0.0707 loss: 0.2266 2022/08/26 05:08:05 - mmengine - INFO - Epoch(train) [87][45/63] lr: 1.0000e-04 eta: 1 day, 13:09:42 time: 1.4317 data_time: 0.0633 memory: 28971 loss_text: 0.1905 loss_kernel: 0.0832 loss: 0.2737 2022/08/26 05:08:09 - mmengine - INFO - Epoch(train) [87][50/63] lr: 1.0000e-04 eta: 1 day, 13:06:24 time: 1.4847 data_time: 0.0871 memory: 28971 loss_text: 0.1694 loss_kernel: 0.0754 loss: 0.2447 2022/08/26 05:08:21 - mmengine - INFO - Epoch(train) [87][55/63] lr: 1.0000e-04 eta: 1 day, 13:06:24 time: 1.5761 data_time: 0.0586 memory: 28971 loss_text: 0.1751 loss_kernel: 0.0784 loss: 0.2534 2022/08/26 05:08:26 - mmengine - INFO - Epoch(train) [87][60/63] lr: 1.0000e-04 eta: 1 day, 13:03:17 time: 1.6538 data_time: 0.0688 memory: 28971 loss_text: 0.1702 loss_kernel: 0.0781 loss: 0.2483 2022/08/26 05:08:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:10:03 - mmengine - INFO - Epoch(train) [88][5/63] lr: 1.0000e-04 eta: 1 day, 13:03:17 time: 9.9353 data_time: 8.4766 memory: 28971 loss_text: 0.1683 loss_kernel: 0.0723 loss: 0.2406 2022/08/26 05:10:08 - mmengine - INFO - Epoch(train) [88][10/63] lr: 1.0000e-04 eta: 1 day, 13:06:41 time: 9.7433 data_time: 8.4853 memory: 28971 loss_text: 0.1803 loss_kernel: 0.0811 loss: 0.2615 2022/08/26 05:10:17 - mmengine - INFO - Epoch(train) [88][15/63] lr: 1.0000e-04 eta: 1 day, 13:06:41 time: 1.3834 data_time: 0.0460 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0657 loss: 0.2108 2022/08/26 05:10:22 - mmengine - INFO - Epoch(train) [88][20/63] lr: 1.0000e-04 eta: 1 day, 13:03:19 time: 1.3968 data_time: 0.0661 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0656 loss: 0.2084 2022/08/26 05:10:27 - mmengine - INFO - Epoch(train) [88][25/63] lr: 1.0000e-04 eta: 1 day, 13:03:19 time: 0.9825 data_time: 0.0713 memory: 28971 loss_text: 0.1614 loss_kernel: 0.0746 loss: 0.2360 2022/08/26 05:10:32 - mmengine - INFO - Epoch(train) [88][30/63] lr: 1.0000e-04 eta: 1 day, 12:59:37 time: 1.0503 data_time: 0.0278 memory: 28971 loss_text: 0.1793 loss_kernel: 0.0807 loss: 0.2601 2022/08/26 05:10:37 - mmengine - INFO - Epoch(train) [88][35/63] lr: 1.0000e-04 eta: 1 day, 12:59:37 time: 0.9944 data_time: 0.0330 memory: 28971 loss_text: 0.1782 loss_kernel: 0.0799 loss: 0.2581 2022/08/26 05:10:46 - mmengine - INFO - Epoch(train) [88][40/63] lr: 1.0000e-04 eta: 1 day, 12:56:14 time: 1.3635 data_time: 0.0551 memory: 28971 loss_text: 0.1748 loss_kernel: 0.0761 loss: 0.2509 2022/08/26 05:10:58 - mmengine - INFO - Epoch(train) [88][45/63] lr: 1.0000e-04 eta: 1 day, 12:56:14 time: 2.0134 data_time: 0.1182 memory: 28971 loss_text: 0.1865 loss_kernel: 0.0793 loss: 0.2658 2022/08/26 05:11:12 - mmengine - INFO - Epoch(train) [88][50/63] lr: 1.0000e-04 eta: 1 day, 12:54:03 time: 2.5768 data_time: 0.3253 memory: 28971 loss_text: 0.1534 loss_kernel: 0.0672 loss: 0.2206 2022/08/26 05:11:36 - mmengine - INFO - Epoch(train) [88][55/63] lr: 1.0000e-04 eta: 1 day, 12:54:03 time: 3.9148 data_time: 0.3534 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0652 loss: 0.2097 2022/08/26 05:11:42 - mmengine - INFO - Epoch(train) [88][60/63] lr: 1.0000e-04 eta: 1 day, 12:52:18 time: 3.0163 data_time: 0.2625 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0720 loss: 0.2337 2022/08/26 05:11:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:13:40 - mmengine - INFO - Epoch(train) [89][5/63] lr: 1.0000e-04 eta: 1 day, 12:52:18 time: 11.9227 data_time: 9.2359 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0612 loss: 0.1975 2022/08/26 05:13:46 - mmengine - INFO - Epoch(train) [89][10/63] lr: 1.0000e-04 eta: 1 day, 12:56:38 time: 10.7585 data_time: 9.2768 memory: 28971 loss_text: 0.1584 loss_kernel: 0.0726 loss: 0.2311 2022/08/26 05:14:02 - mmengine - INFO - Epoch(train) [89][15/63] lr: 1.0000e-04 eta: 1 day, 12:56:38 time: 2.1235 data_time: 0.0792 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0658 loss: 0.2101 2022/08/26 05:14:12 - mmengine - INFO - Epoch(train) [89][20/63] lr: 1.0000e-04 eta: 1 day, 12:54:31 time: 2.6386 data_time: 0.1014 memory: 28971 loss_text: 0.1710 loss_kernel: 0.0743 loss: 0.2452 2022/08/26 05:14:23 - mmengine - INFO - Epoch(train) [89][25/63] lr: 1.0000e-04 eta: 1 day, 12:54:31 time: 2.1841 data_time: 0.1721 memory: 28971 loss_text: 0.1854 loss_kernel: 0.0814 loss: 0.2668 2022/08/26 05:14:41 - mmengine - INFO - Epoch(train) [89][30/63] lr: 1.0000e-04 eta: 1 day, 12:52:39 time: 2.9020 data_time: 0.1752 memory: 28971 loss_text: 0.1693 loss_kernel: 0.0758 loss: 0.2451 2022/08/26 05:14:53 - mmengine - INFO - Epoch(train) [89][35/63] lr: 1.0000e-04 eta: 1 day, 12:52:39 time: 2.9908 data_time: 0.2049 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0667 loss: 0.2135 2022/08/26 05:15:01 - mmengine - INFO - Epoch(train) [89][40/63] lr: 1.0000e-04 eta: 1 day, 12:49:52 time: 1.9391 data_time: 0.1530 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0668 loss: 0.2139 2022/08/26 05:15:21 - mmengine - INFO - Epoch(train) [89][45/63] lr: 1.0000e-04 eta: 1 day, 12:49:52 time: 2.7818 data_time: 0.0792 memory: 28971 loss_text: 0.1851 loss_kernel: 0.0843 loss: 0.2693 2022/08/26 05:15:32 - mmengine - INFO - Epoch(train) [89][50/63] lr: 1.0000e-04 eta: 1 day, 12:48:13 time: 3.1038 data_time: 0.1331 memory: 28971 loss_text: 0.1778 loss_kernel: 0.0813 loss: 0.2591 2022/08/26 05:15:41 - mmengine - INFO - Epoch(train) [89][55/63] lr: 1.0000e-04 eta: 1 day, 12:48:13 time: 2.0094 data_time: 0.1382 memory: 28971 loss_text: 0.1536 loss_kernel: 0.0688 loss: 0.2224 2022/08/26 05:15:54 - mmengine - INFO - Epoch(train) [89][60/63] lr: 1.0000e-04 eta: 1 day, 12:45:46 time: 2.2720 data_time: 0.1267 memory: 28971 loss_text: 0.1643 loss_kernel: 0.0752 loss: 0.2395 2022/08/26 05:16:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:17:54 - mmengine - INFO - Epoch(train) [90][5/63] lr: 1.0000e-04 eta: 1 day, 12:45:46 time: 12.0049 data_time: 9.7007 memory: 28971 loss_text: 0.1663 loss_kernel: 0.0732 loss: 0.2394 2022/08/26 05:18:10 - mmengine - INFO - Epoch(train) [90][10/63] lr: 1.0000e-04 eta: 1 day, 12:52:06 time: 12.9086 data_time: 9.7702 memory: 28971 loss_text: 0.1865 loss_kernel: 0.0811 loss: 0.2676 2022/08/26 05:18:18 - mmengine - INFO - Epoch(train) [90][15/63] lr: 1.0000e-04 eta: 1 day, 12:52:06 time: 2.4849 data_time: 0.1428 memory: 28971 loss_text: 0.1903 loss_kernel: 0.0821 loss: 0.2723 2022/08/26 05:18:26 - mmengine - INFO - Epoch(train) [90][20/63] lr: 1.0000e-04 eta: 1 day, 12:48:55 time: 1.5158 data_time: 0.1074 memory: 28971 loss_text: 0.1522 loss_kernel: 0.0664 loss: 0.2187 2022/08/26 05:18:43 - mmengine - INFO - Epoch(train) [90][25/63] lr: 1.0000e-04 eta: 1 day, 12:48:55 time: 2.4387 data_time: 0.1336 memory: 28971 loss_text: 0.1719 loss_kernel: 0.0755 loss: 0.2475 2022/08/26 05:19:03 - mmengine - INFO - Epoch(train) [90][30/63] lr: 1.0000e-04 eta: 1 day, 12:47:50 time: 3.6886 data_time: 0.1142 memory: 28971 loss_text: 0.1988 loss_kernel: 0.0882 loss: 0.2871 2022/08/26 05:19:08 - mmengine - INFO - Epoch(train) [90][35/63] lr: 1.0000e-04 eta: 1 day, 12:47:50 time: 2.5406 data_time: 0.1415 memory: 28971 loss_text: 0.1816 loss_kernel: 0.0806 loss: 0.2622 2022/08/26 05:19:27 - mmengine - INFO - Epoch(train) [90][40/63] lr: 1.0000e-04 eta: 1 day, 12:45:32 time: 2.4333 data_time: 0.1240 memory: 28971 loss_text: 0.1676 loss_kernel: 0.0760 loss: 0.2436 2022/08/26 05:19:32 - mmengine - INFO - Epoch(train) [90][45/63] lr: 1.0000e-04 eta: 1 day, 12:45:32 time: 2.4085 data_time: 0.1260 memory: 28971 loss_text: 0.1619 loss_kernel: 0.0722 loss: 0.2342 2022/08/26 05:19:51 - mmengine - INFO - Epoch(train) [90][50/63] lr: 1.0000e-04 eta: 1 day, 12:43:14 time: 2.4103 data_time: 0.1832 memory: 28971 loss_text: 0.1928 loss_kernel: 0.0822 loss: 0.2751 2022/08/26 05:20:14 - mmengine - INFO - Epoch(train) [90][55/63] lr: 1.0000e-04 eta: 1 day, 12:43:14 time: 4.1475 data_time: 0.3372 memory: 28971 loss_text: 0.1939 loss_kernel: 0.0837 loss: 0.2775 2022/08/26 05:20:20 - mmengine - INFO - Epoch(train) [90][60/63] lr: 1.0000e-04 eta: 1 day, 12:41:25 time: 2.9094 data_time: 0.4221 memory: 28971 loss_text: 0.1855 loss_kernel: 0.0826 loss: 0.2681 2022/08/26 05:20:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:22:21 - mmengine - INFO - Epoch(train) [91][5/63] lr: 1.0000e-04 eta: 1 day, 12:41:25 time: 12.2240 data_time: 9.2748 memory: 28971 loss_text: 0.1780 loss_kernel: 0.0794 loss: 0.2575 2022/08/26 05:22:26 - mmengine - INFO - Epoch(train) [91][10/63] lr: 1.0000e-04 eta: 1 day, 12:45:56 time: 11.0743 data_time: 9.3346 memory: 28971 loss_text: 0.1699 loss_kernel: 0.0759 loss: 0.2458 2022/08/26 05:22:49 - mmengine - INFO - Epoch(train) [91][15/63] lr: 1.0000e-04 eta: 1 day, 12:45:56 time: 2.7561 data_time: 0.1857 memory: 28971 loss_text: 0.1534 loss_kernel: 0.0693 loss: 0.2227 2022/08/26 05:23:08 - mmengine - INFO - Epoch(train) [91][20/63] lr: 1.0000e-04 eta: 1 day, 12:45:18 time: 4.1789 data_time: 0.1694 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0682 loss: 0.2165 2022/08/26 05:23:13 - mmengine - INFO - Epoch(train) [91][25/63] lr: 1.0000e-04 eta: 1 day, 12:45:18 time: 2.4292 data_time: 0.1202 memory: 28971 loss_text: 0.1571 loss_kernel: 0.0715 loss: 0.2285 2022/08/26 05:23:27 - mmengine - INFO - Epoch(train) [91][30/63] lr: 1.0000e-04 eta: 1 day, 12:42:29 time: 1.8595 data_time: 0.1188 memory: 28971 loss_text: 0.1571 loss_kernel: 0.0717 loss: 0.2288 2022/08/26 05:23:32 - mmengine - INFO - Epoch(train) [91][35/63] lr: 1.0000e-04 eta: 1 day, 12:42:29 time: 1.9320 data_time: 0.1394 memory: 28971 loss_text: 0.1538 loss_kernel: 0.0700 loss: 0.2239 2022/08/26 05:23:44 - mmengine - INFO - Epoch(train) [91][40/63] lr: 1.0000e-04 eta: 1 day, 12:39:30 time: 1.6695 data_time: 0.0845 memory: 28971 loss_text: 0.1727 loss_kernel: 0.0764 loss: 0.2491 2022/08/26 05:23:52 - mmengine - INFO - Epoch(train) [91][45/63] lr: 1.0000e-04 eta: 1 day, 12:39:30 time: 1.9944 data_time: 0.1508 memory: 28971 loss_text: 0.1576 loss_kernel: 0.0719 loss: 0.2296 2022/08/26 05:24:07 - mmengine - INFO - Epoch(train) [91][50/63] lr: 1.0000e-04 eta: 1 day, 12:37:08 time: 2.3137 data_time: 0.1718 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0592 loss: 0.1903 2022/08/26 05:24:15 - mmengine - INFO - Epoch(train) [91][55/63] lr: 1.0000e-04 eta: 1 day, 12:37:08 time: 2.3319 data_time: 0.2701 memory: 28971 loss_text: 0.1670 loss_kernel: 0.0732 loss: 0.2402 2022/08/26 05:24:21 - mmengine - INFO - Epoch(train) [91][60/63] lr: 1.0000e-04 eta: 1 day, 12:33:54 time: 1.3682 data_time: 0.2527 memory: 28971 loss_text: 0.2020 loss_kernel: 0.0899 loss: 0.2919 2022/08/26 05:24:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:26:26 - mmengine - INFO - Epoch(train) [92][5/63] lr: 1.0000e-04 eta: 1 day, 12:33:54 time: 12.7460 data_time: 9.6846 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0738 loss: 0.2410 2022/08/26 05:26:45 - mmengine - INFO - Epoch(train) [92][10/63] lr: 1.0000e-04 eta: 1 day, 12:39:48 time: 12.6421 data_time: 9.6033 memory: 28971 loss_text: 0.1849 loss_kernel: 0.0792 loss: 0.2642 2022/08/26 05:26:52 - mmengine - INFO - Epoch(train) [92][15/63] lr: 1.0000e-04 eta: 1 day, 12:39:48 time: 2.6004 data_time: 0.2015 memory: 28971 loss_text: 0.1598 loss_kernel: 0.0658 loss: 0.2256 2022/08/26 05:27:09 - mmengine - INFO - Epoch(train) [92][20/63] lr: 1.0000e-04 eta: 1 day, 12:37:30 time: 2.3707 data_time: 0.1735 memory: 28971 loss_text: 0.1923 loss_kernel: 0.0800 loss: 0.2723 2022/08/26 05:27:13 - mmengine - INFO - Epoch(train) [92][25/63] lr: 1.0000e-04 eta: 1 day, 12:37:30 time: 2.1540 data_time: 0.0685 memory: 28971 loss_text: 0.1957 loss_kernel: 0.0857 loss: 0.2814 2022/08/26 05:27:32 - mmengine - INFO - Epoch(train) [92][30/63] lr: 1.0000e-04 eta: 1 day, 12:35:09 time: 2.3108 data_time: 0.0616 memory: 28971 loss_text: 0.1534 loss_kernel: 0.0682 loss: 0.2216 2022/08/26 05:27:37 - mmengine - INFO - Epoch(train) [92][35/63] lr: 1.0000e-04 eta: 1 day, 12:35:09 time: 2.3542 data_time: 0.1060 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0633 loss: 0.2055 2022/08/26 05:27:55 - mmengine - INFO - Epoch(train) [92][40/63] lr: 1.0000e-04 eta: 1 day, 12:32:47 time: 2.2934 data_time: 0.2063 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0660 loss: 0.2116 2022/08/26 05:27:59 - mmengine - INFO - Epoch(train) [92][45/63] lr: 1.0000e-04 eta: 1 day, 12:32:47 time: 2.2372 data_time: 0.1651 memory: 28971 loss_text: 0.1732 loss_kernel: 0.0778 loss: 0.2511 2022/08/26 05:28:19 - mmengine - INFO - Epoch(train) [92][50/63] lr: 1.0000e-04 eta: 1 day, 12:30:30 time: 2.3765 data_time: 0.0759 memory: 28971 loss_text: 0.1804 loss_kernel: 0.0818 loss: 0.2621 2022/08/26 05:28:24 - mmengine - INFO - Epoch(train) [92][55/63] lr: 1.0000e-04 eta: 1 day, 12:30:30 time: 2.4318 data_time: 0.0755 memory: 28971 loss_text: 0.1593 loss_kernel: 0.0737 loss: 0.2330 2022/08/26 05:28:42 - mmengine - INFO - Epoch(train) [92][60/63] lr: 1.0000e-04 eta: 1 day, 12:28:12 time: 2.3625 data_time: 0.0764 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0673 loss: 0.2136 2022/08/26 05:28:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:30:35 - mmengine - INFO - Epoch(train) [93][5/63] lr: 1.0000e-04 eta: 1 day, 12:28:12 time: 12.8408 data_time: 9.6008 memory: 28971 loss_text: 0.1676 loss_kernel: 0.0769 loss: 0.2445 2022/08/26 05:30:41 - mmengine - INFO - Epoch(train) [93][10/63] lr: 1.0000e-04 eta: 1 day, 12:32:58 time: 11.4858 data_time: 9.6457 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0672 loss: 0.2168 2022/08/26 05:30:55 - mmengine - INFO - Epoch(train) [93][15/63] lr: 1.0000e-04 eta: 1 day, 12:32:58 time: 2.0355 data_time: 0.1312 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0582 loss: 0.1851 2022/08/26 05:31:00 - mmengine - INFO - Epoch(train) [93][20/63] lr: 1.0000e-04 eta: 1 day, 12:30:15 time: 1.9007 data_time: 0.1060 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0637 loss: 0.2046 2022/08/26 05:31:17 - mmengine - INFO - Epoch(train) [93][25/63] lr: 1.0000e-04 eta: 1 day, 12:30:15 time: 2.1554 data_time: 0.3618 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0604 loss: 0.1950 2022/08/26 05:31:21 - mmengine - INFO - Epoch(train) [93][30/63] lr: 1.0000e-04 eta: 1 day, 12:27:46 time: 2.1419 data_time: 0.3342 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0667 loss: 0.2184 2022/08/26 05:31:35 - mmengine - INFO - Epoch(train) [93][35/63] lr: 1.0000e-04 eta: 1 day, 12:27:46 time: 1.8717 data_time: 0.1054 memory: 28971 loss_text: 0.1807 loss_kernel: 0.0779 loss: 0.2586 2022/08/26 05:31:41 - mmengine - INFO - Epoch(train) [93][40/63] lr: 1.0000e-04 eta: 1 day, 12:25:08 time: 1.9588 data_time: 0.1019 memory: 28971 loss_text: 0.1776 loss_kernel: 0.0784 loss: 0.2560 2022/08/26 05:31:57 - mmengine - INFO - Epoch(train) [93][45/63] lr: 1.0000e-04 eta: 1 day, 12:25:08 time: 2.1392 data_time: 0.1329 memory: 28971 loss_text: 0.1728 loss_kernel: 0.0773 loss: 0.2502 2022/08/26 05:32:15 - mmengine - INFO - Epoch(train) [93][50/63] lr: 1.0000e-04 eta: 1 day, 12:23:46 time: 3.3543 data_time: 0.2252 memory: 28971 loss_text: 0.1847 loss_kernel: 0.0837 loss: 0.2684 2022/08/26 05:32:33 - mmengine - INFO - Epoch(train) [93][55/63] lr: 1.0000e-04 eta: 1 day, 12:23:46 time: 3.5116 data_time: 0.2348 memory: 28971 loss_text: 0.1678 loss_kernel: 0.0754 loss: 0.2433 2022/08/26 05:32:43 - mmengine - INFO - Epoch(train) [93][60/63] lr: 1.0000e-04 eta: 1 day, 12:21:55 time: 2.8232 data_time: 0.3658 memory: 28971 loss_text: 0.1791 loss_kernel: 0.0792 loss: 0.2583 2022/08/26 05:32:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:34:36 - mmengine - INFO - Epoch(train) [94][5/63] lr: 1.0000e-04 eta: 1 day, 12:21:55 time: 11.4448 data_time: 9.7116 memory: 28971 loss_text: 0.1724 loss_kernel: 0.0804 loss: 0.2528 2022/08/26 05:34:41 - mmengine - INFO - Epoch(train) [94][10/63] lr: 1.0000e-04 eta: 1 day, 12:26:37 time: 11.4837 data_time: 9.7315 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0642 loss: 0.2022 2022/08/26 05:34:58 - mmengine - INFO - Epoch(train) [94][15/63] lr: 1.0000e-04 eta: 1 day, 12:26:37 time: 2.2300 data_time: 0.1264 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0615 loss: 0.1982 2022/08/26 05:35:11 - mmengine - INFO - Epoch(train) [94][20/63] lr: 1.0000e-04 eta: 1 day, 12:24:54 time: 2.9793 data_time: 0.1376 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0747 loss: 0.2419 2022/08/26 05:35:22 - mmengine - INFO - Epoch(train) [94][25/63] lr: 1.0000e-04 eta: 1 day, 12:24:54 time: 2.4119 data_time: 0.1313 memory: 28971 loss_text: 0.1812 loss_kernel: 0.0822 loss: 0.2634 2022/08/26 05:35:38 - mmengine - INFO - Epoch(train) [94][30/63] lr: 1.0000e-04 eta: 1 day, 12:22:58 time: 2.7226 data_time: 0.1267 memory: 28971 loss_text: 0.1762 loss_kernel: 0.0807 loss: 0.2569 2022/08/26 05:35:47 - mmengine - INFO - Epoch(train) [94][35/63] lr: 1.0000e-04 eta: 1 day, 12:22:58 time: 2.4693 data_time: 0.1194 memory: 28971 loss_text: 0.1483 loss_kernel: 0.0680 loss: 0.2163 2022/08/26 05:36:00 - mmengine - INFO - Epoch(train) [94][40/63] lr: 1.0000e-04 eta: 1 day, 12:20:35 time: 2.2078 data_time: 0.2367 memory: 28971 loss_text: 0.1542 loss_kernel: 0.0689 loss: 0.2231 2022/08/26 05:36:24 - mmengine - INFO - Epoch(train) [94][45/63] lr: 1.0000e-04 eta: 1 day, 12:20:35 time: 3.6965 data_time: 0.2699 memory: 28971 loss_text: 0.1623 loss_kernel: 0.0719 loss: 0.2342 2022/08/26 05:36:42 - mmengine - INFO - Epoch(train) [94][50/63] lr: 1.0000e-04 eta: 1 day, 12:19:55 time: 4.1247 data_time: 0.1826 memory: 28971 loss_text: 0.1572 loss_kernel: 0.0712 loss: 0.2283 2022/08/26 05:36:52 - mmengine - INFO - Epoch(train) [94][55/63] lr: 1.0000e-04 eta: 1 day, 12:19:55 time: 2.8151 data_time: 0.1880 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0634 loss: 0.1994 2022/08/26 05:37:13 - mmengine - INFO - Epoch(train) [94][60/63] lr: 1.0000e-04 eta: 1 day, 12:18:22 time: 3.1308 data_time: 0.2637 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0618 loss: 0.1975 2022/08/26 05:37:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:39:06 - mmengine - INFO - Epoch(train) [95][5/63] lr: 1.0000e-04 eta: 1 day, 12:18:22 time: 12.3268 data_time: 9.5152 memory: 28971 loss_text: 0.1600 loss_kernel: 0.0736 loss: 0.2336 2022/08/26 05:39:21 - mmengine - INFO - Epoch(train) [95][10/63] lr: 1.0000e-04 eta: 1 day, 12:23:49 time: 12.4085 data_time: 9.4438 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0683 loss: 0.2193 2022/08/26 05:39:29 - mmengine - INFO - Epoch(train) [95][15/63] lr: 1.0000e-04 eta: 1 day, 12:23:49 time: 2.3546 data_time: 0.1643 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0725 loss: 0.2333 2022/08/26 05:39:36 - mmengine - INFO - Epoch(train) [95][20/63] lr: 1.0000e-04 eta: 1 day, 12:20:46 time: 1.4761 data_time: 0.1329 memory: 28971 loss_text: 0.1746 loss_kernel: 0.0794 loss: 0.2539 2022/08/26 05:40:01 - mmengine - INFO - Epoch(train) [95][25/63] lr: 1.0000e-04 eta: 1 day, 12:20:46 time: 3.1720 data_time: 0.2610 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0699 loss: 0.2251 2022/08/26 05:40:10 - mmengine - INFO - Epoch(train) [95][30/63] lr: 1.0000e-04 eta: 1 day, 12:19:34 time: 3.5196 data_time: 0.2690 memory: 28971 loss_text: 0.1808 loss_kernel: 0.0799 loss: 0.2607 2022/08/26 05:40:26 - mmengine - INFO - Epoch(train) [95][35/63] lr: 1.0000e-04 eta: 1 day, 12:19:34 time: 2.5001 data_time: 0.1546 memory: 28971 loss_text: 0.1534 loss_kernel: 0.0667 loss: 0.2201 2022/08/26 05:40:31 - mmengine - INFO - Epoch(train) [95][40/63] lr: 1.0000e-04 eta: 1 day, 12:17:01 time: 2.0210 data_time: 0.1055 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0659 loss: 0.2154 2022/08/26 05:40:46 - mmengine - INFO - Epoch(train) [95][45/63] lr: 1.0000e-04 eta: 1 day, 12:17:01 time: 1.9993 data_time: 0.1486 memory: 28971 loss_text: 0.1864 loss_kernel: 0.0830 loss: 0.2693 2022/08/26 05:40:50 - mmengine - INFO - Epoch(train) [95][50/63] lr: 1.0000e-04 eta: 1 day, 12:14:28 time: 1.9930 data_time: 0.1637 memory: 28971 loss_text: 0.1892 loss_kernel: 0.0827 loss: 0.2720 2022/08/26 05:41:07 - mmengine - INFO - Epoch(train) [95][55/63] lr: 1.0000e-04 eta: 1 day, 12:14:28 time: 2.0257 data_time: 0.1309 memory: 28971 loss_text: 0.2003 loss_kernel: 0.0878 loss: 0.2881 2022/08/26 05:41:16 - mmengine - INFO - Epoch(train) [95][60/63] lr: 1.0000e-04 eta: 1 day, 12:12:27 time: 2.5904 data_time: 0.2068 memory: 28971 loss_text: 0.1970 loss_kernel: 0.0881 loss: 0.2851 2022/08/26 05:41:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:43:19 - mmengine - INFO - Epoch(train) [96][5/63] lr: 1.0000e-04 eta: 1 day, 12:12:27 time: 12.8640 data_time: 9.3655 memory: 28971 loss_text: 0.1768 loss_kernel: 0.0789 loss: 0.2557 2022/08/26 05:43:36 - mmengine - INFO - Epoch(train) [96][10/63] lr: 1.0000e-04 eta: 1 day, 12:18:14 time: 12.8753 data_time: 9.4397 memory: 28971 loss_text: 0.1602 loss_kernel: 0.0720 loss: 0.2322 2022/08/26 05:43:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:43:53 - mmengine - INFO - Epoch(train) [96][15/63] lr: 1.0000e-04 eta: 1 day, 12:18:14 time: 3.4246 data_time: 0.2650 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0684 loss: 0.2190 2022/08/26 05:44:02 - mmengine - INFO - Epoch(train) [96][20/63] lr: 1.0000e-04 eta: 1 day, 12:16:15 time: 2.6469 data_time: 0.1936 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0658 loss: 0.2146 2022/08/26 05:44:19 - mmengine - INFO - Epoch(train) [96][25/63] lr: 1.0000e-04 eta: 1 day, 12:16:15 time: 2.5891 data_time: 0.2179 memory: 28971 loss_text: 0.1542 loss_kernel: 0.0695 loss: 0.2237 2022/08/26 05:44:35 - mmengine - INFO - Epoch(train) [96][30/63] lr: 1.0000e-04 eta: 1 day, 12:14:53 time: 3.3182 data_time: 0.2111 memory: 28971 loss_text: 0.1839 loss_kernel: 0.0838 loss: 0.2678 2022/08/26 05:44:40 - mmengine - INFO - Epoch(train) [96][35/63] lr: 1.0000e-04 eta: 1 day, 12:14:53 time: 2.0861 data_time: 0.1522 memory: 28971 loss_text: 0.1775 loss_kernel: 0.0785 loss: 0.2560 2022/08/26 05:44:57 - mmengine - INFO - Epoch(train) [96][40/63] lr: 1.0000e-04 eta: 1 day, 12:12:28 time: 2.1519 data_time: 0.1426 memory: 28971 loss_text: 0.1643 loss_kernel: 0.0709 loss: 0.2352 2022/08/26 05:45:11 - mmengine - INFO - Epoch(train) [96][45/63] lr: 1.0000e-04 eta: 1 day, 12:12:28 time: 3.0360 data_time: 0.1677 memory: 28971 loss_text: 0.1650 loss_kernel: 0.0737 loss: 0.2387 2022/08/26 05:45:19 - mmengine - INFO - Epoch(train) [96][50/63] lr: 1.0000e-04 eta: 1 day, 12:10:09 time: 2.2321 data_time: 0.2071 memory: 28971 loss_text: 0.1616 loss_kernel: 0.0737 loss: 0.2353 2022/08/26 05:45:24 - mmengine - INFO - Epoch(train) [96][55/63] lr: 1.0000e-04 eta: 1 day, 12:10:09 time: 1.3555 data_time: 0.1539 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0660 loss: 0.2127 2022/08/26 05:45:41 - mmengine - INFO - Epoch(train) [96][60/63] lr: 1.0000e-04 eta: 1 day, 12:07:49 time: 2.2130 data_time: 0.1420 memory: 28971 loss_text: 0.1561 loss_kernel: 0.0704 loss: 0.2265 2022/08/26 05:45:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:47:30 - mmengine - INFO - Epoch(train) [97][5/63] lr: 1.0000e-04 eta: 1 day, 12:07:49 time: 11.0441 data_time: 9.4457 memory: 28971 loss_text: 0.1834 loss_kernel: 0.0829 loss: 0.2663 2022/08/26 05:47:36 - mmengine - INFO - Epoch(train) [97][10/63] lr: 1.0000e-04 eta: 1 day, 12:11:59 time: 11.1223 data_time: 9.4835 memory: 28971 loss_text: 0.1606 loss_kernel: 0.0734 loss: 0.2341 2022/08/26 05:47:51 - mmengine - INFO - Epoch(train) [97][15/63] lr: 1.0000e-04 eta: 1 day, 12:11:59 time: 2.1011 data_time: 0.0980 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0621 loss: 0.1993 2022/08/26 05:47:56 - mmengine - INFO - Epoch(train) [97][20/63] lr: 1.0000e-04 eta: 1 day, 12:09:30 time: 2.0333 data_time: 0.0861 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0600 loss: 0.1947 2022/08/26 05:48:16 - mmengine - INFO - Epoch(train) [97][25/63] lr: 1.0000e-04 eta: 1 day, 12:09:30 time: 2.4903 data_time: 0.1005 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0636 loss: 0.2040 2022/08/26 05:48:22 - mmengine - INFO - Epoch(train) [97][30/63] lr: 1.0000e-04 eta: 1 day, 12:07:28 time: 2.5539 data_time: 0.0788 memory: 28971 loss_text: 0.1560 loss_kernel: 0.0690 loss: 0.2250 2022/08/26 05:48:44 - mmengine - INFO - Epoch(train) [97][35/63] lr: 1.0000e-04 eta: 1 day, 12:07:28 time: 2.7360 data_time: 0.1227 memory: 28971 loss_text: 0.1554 loss_kernel: 0.0687 loss: 0.2241 2022/08/26 05:49:00 - mmengine - INFO - Epoch(train) [97][40/63] lr: 1.0000e-04 eta: 1 day, 12:06:33 time: 3.8338 data_time: 0.1293 memory: 28971 loss_text: 0.1576 loss_kernel: 0.0706 loss: 0.2282 2022/08/26 05:49:06 - mmengine - INFO - Epoch(train) [97][45/63] lr: 1.0000e-04 eta: 1 day, 12:06:33 time: 2.2171 data_time: 0.1448 memory: 28971 loss_text: 0.1716 loss_kernel: 0.0746 loss: 0.2463 2022/08/26 05:49:25 - mmengine - INFO - Epoch(train) [97][50/63] lr: 1.0000e-04 eta: 1 day, 12:04:28 time: 2.4855 data_time: 0.2517 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0632 loss: 0.2064 2022/08/26 05:49:43 - mmengine - INFO - Epoch(train) [97][55/63] lr: 1.0000e-04 eta: 1 day, 12:04:28 time: 3.7062 data_time: 0.1932 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0650 loss: 0.2080 2022/08/26 05:49:49 - mmengine - INFO - Epoch(train) [97][60/63] lr: 1.0000e-04 eta: 1 day, 12:02:21 time: 2.4229 data_time: 0.2532 memory: 28971 loss_text: 0.1661 loss_kernel: 0.0723 loss: 0.2384 2022/08/26 05:50:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:51:52 - mmengine - INFO - Epoch(train) [98][5/63] lr: 1.0000e-04 eta: 1 day, 12:02:21 time: 12.3627 data_time: 9.6354 memory: 28971 loss_text: 0.2060 loss_kernel: 0.0913 loss: 0.2973 2022/08/26 05:51:57 - mmengine - INFO - Epoch(train) [98][10/63] lr: 1.0000e-04 eta: 1 day, 12:06:38 time: 11.3227 data_time: 9.6225 memory: 28971 loss_text: 0.1785 loss_kernel: 0.0806 loss: 0.2591 2022/08/26 05:52:12 - mmengine - INFO - Epoch(train) [98][15/63] lr: 1.0000e-04 eta: 1 day, 12:06:38 time: 2.0246 data_time: 0.0559 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0694 loss: 0.2224 2022/08/26 05:52:26 - mmengine - INFO - Epoch(train) [98][20/63] lr: 1.0000e-04 eta: 1 day, 12:04:54 time: 2.8921 data_time: 0.1119 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0648 loss: 0.2103 2022/08/26 05:52:37 - mmengine - INFO - Epoch(train) [98][25/63] lr: 1.0000e-04 eta: 1 day, 12:04:54 time: 2.5205 data_time: 0.3335 memory: 28971 loss_text: 0.1827 loss_kernel: 0.0808 loss: 0.2635 2022/08/26 05:52:53 - mmengine - INFO - Epoch(train) [98][30/63] lr: 1.0000e-04 eta: 1 day, 12:03:01 time: 2.6955 data_time: 0.3057 memory: 28971 loss_text: 0.1875 loss_kernel: 0.0841 loss: 0.2717 2022/08/26 05:52:58 - mmengine - INFO - Epoch(train) [98][35/63] lr: 1.0000e-04 eta: 1 day, 12:03:01 time: 2.0998 data_time: 0.1448 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0755 loss: 0.2396 2022/08/26 05:53:14 - mmengine - INFO - Epoch(train) [98][40/63] lr: 1.0000e-04 eta: 1 day, 12:00:36 time: 2.0767 data_time: 0.1769 memory: 28971 loss_text: 0.1713 loss_kernel: 0.0766 loss: 0.2479 2022/08/26 05:53:19 - mmengine - INFO - Epoch(train) [98][45/63] lr: 1.0000e-04 eta: 1 day, 12:00:36 time: 2.0267 data_time: 0.1482 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0714 loss: 0.2341 2022/08/26 05:53:40 - mmengine - INFO - Epoch(train) [98][50/63] lr: 1.0000e-04 eta: 1 day, 11:58:38 time: 2.5958 data_time: 0.2860 memory: 28971 loss_text: 0.1551 loss_kernel: 0.0695 loss: 0.2246 2022/08/26 05:53:45 - mmengine - INFO - Epoch(train) [98][55/63] lr: 1.0000e-04 eta: 1 day, 11:58:38 time: 2.6138 data_time: 0.3077 memory: 28971 loss_text: 0.1665 loss_kernel: 0.0764 loss: 0.2429 2022/08/26 05:54:03 - mmengine - INFO - Epoch(train) [98][60/63] lr: 1.0000e-04 eta: 1 day, 11:56:26 time: 2.3258 data_time: 0.1366 memory: 28971 loss_text: 0.1713 loss_kernel: 0.0779 loss: 0.2491 2022/08/26 05:54:06 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:55:50 - mmengine - INFO - Epoch(train) [99][5/63] lr: 1.0000e-04 eta: 1 day, 11:56:26 time: 10.8823 data_time: 9.2989 memory: 28971 loss_text: 0.1797 loss_kernel: 0.0806 loss: 0.2604 2022/08/26 05:55:56 - mmengine - INFO - Epoch(train) [99][10/63] lr: 1.0000e-04 eta: 1 day, 12:00:20 time: 10.9268 data_time: 9.2899 memory: 28971 loss_text: 0.1762 loss_kernel: 0.0798 loss: 0.2561 2022/08/26 05:56:10 - mmengine - INFO - Epoch(train) [99][15/63] lr: 1.0000e-04 eta: 1 day, 12:00:20 time: 2.0012 data_time: 0.1221 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0662 loss: 0.2127 2022/08/26 05:56:15 - mmengine - INFO - Epoch(train) [99][20/63] lr: 1.0000e-04 eta: 1 day, 11:57:46 time: 1.8872 data_time: 0.1153 memory: 28971 loss_text: 0.1454 loss_kernel: 0.0662 loss: 0.2115 2022/08/26 05:56:32 - mmengine - INFO - Epoch(train) [99][25/63] lr: 1.0000e-04 eta: 1 day, 11:57:46 time: 2.1987 data_time: 0.1255 memory: 28971 loss_text: 0.1792 loss_kernel: 0.0794 loss: 0.2586 2022/08/26 05:56:38 - mmengine - INFO - Epoch(train) [99][30/63] lr: 1.0000e-04 eta: 1 day, 11:55:33 time: 2.2870 data_time: 0.1293 memory: 28971 loss_text: 0.1774 loss_kernel: 0.0772 loss: 0.2547 2022/08/26 05:56:53 - mmengine - INFO - Epoch(train) [99][35/63] lr: 1.0000e-04 eta: 1 day, 11:55:33 time: 2.0575 data_time: 0.1607 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0574 loss: 0.1851 2022/08/26 05:57:06 - mmengine - INFO - Epoch(train) [99][40/63] lr: 1.0000e-04 eta: 1 day, 11:53:46 time: 2.7897 data_time: 0.1417 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0682 loss: 0.2190 2022/08/26 05:57:13 - mmengine - INFO - Epoch(train) [99][45/63] lr: 1.0000e-04 eta: 1 day, 11:53:46 time: 1.9735 data_time: 0.1197 memory: 28971 loss_text: 0.1801 loss_kernel: 0.0806 loss: 0.2607 2022/08/26 05:57:27 - mmengine - INFO - Epoch(train) [99][50/63] lr: 1.0000e-04 eta: 1 day, 11:51:24 time: 2.0979 data_time: 0.1149 memory: 28971 loss_text: 0.1830 loss_kernel: 0.0797 loss: 0.2627 2022/08/26 05:57:34 - mmengine - INFO - Epoch(train) [99][55/63] lr: 1.0000e-04 eta: 1 day, 11:51:24 time: 2.1346 data_time: 0.1391 memory: 28971 loss_text: 0.1689 loss_kernel: 0.0731 loss: 0.2420 2022/08/26 05:57:51 - mmengine - INFO - Epoch(train) [99][60/63] lr: 1.0000e-04 eta: 1 day, 11:49:16 time: 2.3766 data_time: 0.1602 memory: 28971 loss_text: 0.1811 loss_kernel: 0.0804 loss: 0.2615 2022/08/26 05:57:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 05:59:41 - mmengine - INFO - Epoch(train) [100][5/63] lr: 1.0000e-04 eta: 1 day, 11:49:16 time: 12.3641 data_time: 9.5431 memory: 28971 loss_text: 0.1757 loss_kernel: 0.0780 loss: 0.2536 2022/08/26 05:59:46 - mmengine - INFO - Epoch(train) [100][10/63] lr: 1.0000e-04 eta: 1 day, 11:53:18 time: 11.1472 data_time: 9.4660 memory: 28971 loss_text: 0.1636 loss_kernel: 0.0729 loss: 0.2365 2022/08/26 06:00:00 - mmengine - INFO - Epoch(train) [100][15/63] lr: 1.0000e-04 eta: 1 day, 11:53:18 time: 1.9343 data_time: 0.1245 memory: 28971 loss_text: 0.1637 loss_kernel: 0.0734 loss: 0.2370 2022/08/26 06:00:25 - mmengine - INFO - Epoch(train) [100][20/63] lr: 1.0000e-04 eta: 1 day, 11:52:25 time: 3.8590 data_time: 0.6635 memory: 28971 loss_text: 0.1744 loss_kernel: 0.0784 loss: 0.2528 2022/08/26 06:00:30 - mmengine - INFO - Epoch(train) [100][25/63] lr: 1.0000e-04 eta: 1 day, 11:52:25 time: 3.0042 data_time: 0.6601 memory: 28971 loss_text: 0.1968 loss_kernel: 0.0896 loss: 0.2865 2022/08/26 06:00:45 - mmengine - INFO - Epoch(train) [100][30/63] lr: 1.0000e-04 eta: 1 day, 11:49:58 time: 1.9812 data_time: 0.1949 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0786 loss: 0.2501 2022/08/26 06:00:50 - mmengine - INFO - Epoch(train) [100][35/63] lr: 1.0000e-04 eta: 1 day, 11:49:58 time: 1.9689 data_time: 0.1780 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0634 loss: 0.2052 2022/08/26 06:01:09 - mmengine - INFO - Epoch(train) [100][40/63] lr: 1.0000e-04 eta: 1 day, 11:47:50 time: 2.3578 data_time: 0.0684 memory: 28971 loss_text: 0.1669 loss_kernel: 0.0746 loss: 0.2415 2022/08/26 06:01:14 - mmengine - INFO - Epoch(train) [100][45/63] lr: 1.0000e-04 eta: 1 day, 11:47:50 time: 2.4027 data_time: 0.1255 memory: 28971 loss_text: 0.1789 loss_kernel: 0.0784 loss: 0.2573 2022/08/26 06:01:33 - mmengine - INFO - Epoch(train) [100][50/63] lr: 1.0000e-04 eta: 1 day, 11:45:48 time: 2.4827 data_time: 0.2006 memory: 28971 loss_text: 0.1741 loss_kernel: 0.0766 loss: 0.2507 2022/08/26 06:01:39 - mmengine - INFO - Epoch(train) [100][55/63] lr: 1.0000e-04 eta: 1 day, 11:45:48 time: 2.4679 data_time: 0.1973 memory: 28971 loss_text: 0.1786 loss_kernel: 0.0816 loss: 0.2603 2022/08/26 06:01:53 - mmengine - INFO - Epoch(train) [100][60/63] lr: 1.0000e-04 eta: 1 day, 11:43:22 time: 1.9694 data_time: 0.1578 memory: 28971 loss_text: 0.1619 loss_kernel: 0.0728 loss: 0.2347 2022/08/26 06:01:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:01:55 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/26 06:03:37 - mmengine - INFO - Epoch(train) [101][5/63] lr: 1.0000e-04 eta: 1 day, 11:43:22 time: 10.9950 data_time: 8.7294 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0609 loss: 0.1979 2022/08/26 06:03:42 - mmengine - INFO - Epoch(train) [101][10/63] lr: 1.0000e-04 eta: 1 day, 11:46:27 time: 10.0776 data_time: 8.7083 memory: 28971 loss_text: 0.1601 loss_kernel: 0.0716 loss: 0.2317 2022/08/26 06:03:53 - mmengine - INFO - Epoch(train) [101][15/63] lr: 1.0000e-04 eta: 1 day, 11:46:27 time: 1.5622 data_time: 0.0574 memory: 28971 loss_text: 0.1685 loss_kernel: 0.0753 loss: 0.2438 2022/08/26 06:03:58 - mmengine - INFO - Epoch(train) [101][20/63] lr: 1.0000e-04 eta: 1 day, 11:43:41 time: 1.5922 data_time: 0.0538 memory: 28971 loss_text: 0.1520 loss_kernel: 0.0683 loss: 0.2203 2022/08/26 06:04:03 - mmengine - INFO - Epoch(train) [101][25/63] lr: 1.0000e-04 eta: 1 day, 11:43:41 time: 1.0549 data_time: 0.0458 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0660 loss: 0.2128 2022/08/26 06:04:10 - mmengine - INFO - Epoch(train) [101][30/63] lr: 1.0000e-04 eta: 1 day, 11:40:37 time: 1.1907 data_time: 0.0555 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0710 loss: 0.2228 2022/08/26 06:04:15 - mmengine - INFO - Epoch(train) [101][35/63] lr: 1.0000e-04 eta: 1 day, 11:40:37 time: 1.1543 data_time: 0.0619 memory: 28971 loss_text: 0.1560 loss_kernel: 0.0743 loss: 0.2303 2022/08/26 06:04:20 - mmengine - INFO - Epoch(train) [101][40/63] lr: 1.0000e-04 eta: 1 day, 11:37:22 time: 0.9855 data_time: 0.0389 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0591 loss: 0.1837 2022/08/26 06:04:26 - mmengine - INFO - Epoch(train) [101][45/63] lr: 1.0000e-04 eta: 1 day, 11:37:22 time: 1.0573 data_time: 0.0454 memory: 28971 loss_text: 0.1588 loss_kernel: 0.0706 loss: 0.2294 2022/08/26 06:04:30 - mmengine - INFO - Epoch(train) [101][50/63] lr: 1.0000e-04 eta: 1 day, 11:34:12 time: 1.0608 data_time: 0.0590 memory: 28971 loss_text: 0.1904 loss_kernel: 0.0811 loss: 0.2715 2022/08/26 06:04:35 - mmengine - INFO - Epoch(train) [101][55/63] lr: 1.0000e-04 eta: 1 day, 11:34:12 time: 0.9530 data_time: 0.0690 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0664 loss: 0.2170 2022/08/26 06:04:48 - mmengine - INFO - Epoch(train) [101][60/63] lr: 1.0000e-04 eta: 1 day, 11:31:36 time: 1.7336 data_time: 0.0823 memory: 28971 loss_text: 0.1594 loss_kernel: 0.0720 loss: 0.2315 2022/08/26 06:04:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:06:28 - mmengine - INFO - Epoch(train) [102][5/63] lr: 1.0000e-04 eta: 1 day, 11:31:36 time: 10.5807 data_time: 8.8235 memory: 28971 loss_text: 0.1509 loss_kernel: 0.0670 loss: 0.2179 2022/08/26 06:06:33 - mmengine - INFO - Epoch(train) [102][10/63] lr: 1.0000e-04 eta: 1 day, 11:34:38 time: 10.0656 data_time: 8.7380 memory: 28971 loss_text: 0.1417 loss_kernel: 0.0650 loss: 0.2068 2022/08/26 06:06:44 - mmengine - INFO - Epoch(train) [102][15/63] lr: 1.0000e-04 eta: 1 day, 11:34:38 time: 1.5874 data_time: 0.0335 memory: 28971 loss_text: 0.1591 loss_kernel: 0.0698 loss: 0.2288 2022/08/26 06:06:53 - mmengine - INFO - Epoch(train) [102][20/63] lr: 1.0000e-04 eta: 1 day, 11:32:18 time: 2.0463 data_time: 0.1216 memory: 28971 loss_text: 0.1713 loss_kernel: 0.0761 loss: 0.2474 2022/08/26 06:07:07 - mmengine - INFO - Epoch(train) [102][25/63] lr: 1.0000e-04 eta: 1 day, 11:32:18 time: 2.2919 data_time: 0.2511 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0782 loss: 0.2497 2022/08/26 06:07:13 - mmengine - INFO - Epoch(train) [102][30/63] lr: 1.0000e-04 eta: 1 day, 11:29:53 time: 1.9449 data_time: 0.2267 memory: 28971 loss_text: 0.1634 loss_kernel: 0.0740 loss: 0.2374 2022/08/26 06:07:35 - mmengine - INFO - Epoch(train) [102][35/63] lr: 1.0000e-04 eta: 1 day, 11:29:53 time: 2.8150 data_time: 0.1573 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0650 loss: 0.2094 2022/08/26 06:07:40 - mmengine - INFO - Epoch(train) [102][40/63] lr: 1.0000e-04 eta: 1 day, 11:28:07 time: 2.7390 data_time: 0.1112 memory: 28971 loss_text: 0.1613 loss_kernel: 0.0727 loss: 0.2340 2022/08/26 06:07:58 - mmengine - INFO - Epoch(train) [102][45/63] lr: 1.0000e-04 eta: 1 day, 11:28:07 time: 2.2878 data_time: 0.1516 memory: 28971 loss_text: 0.2072 loss_kernel: 0.0927 loss: 0.3000 2022/08/26 06:08:16 - mmengine - INFO - Epoch(train) [102][50/63] lr: 1.0000e-04 eta: 1 day, 11:27:00 time: 3.5271 data_time: 0.1833 memory: 28971 loss_text: 0.1725 loss_kernel: 0.0774 loss: 0.2499 2022/08/26 06:08:22 - mmengine - INFO - Epoch(train) [102][55/63] lr: 1.0000e-04 eta: 1 day, 11:27:00 time: 2.3824 data_time: 0.2030 memory: 28971 loss_text: 0.1500 loss_kernel: 0.0688 loss: 0.2188 2022/08/26 06:08:41 - mmengine - INFO - Epoch(train) [102][60/63] lr: 1.0000e-04 eta: 1 day, 11:25:02 time: 2.4976 data_time: 0.2530 memory: 28971 loss_text: 0.1562 loss_kernel: 0.0725 loss: 0.2287 2022/08/26 06:08:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:10:46 - mmengine - INFO - Epoch(train) [103][5/63] lr: 1.0000e-04 eta: 1 day, 11:25:02 time: 13.2083 data_time: 9.7122 memory: 28971 loss_text: 0.1889 loss_kernel: 0.0868 loss: 0.2756 2022/08/26 06:10:51 - mmengine - INFO - Epoch(train) [103][10/63] lr: 1.0000e-04 eta: 1 day, 11:29:02 time: 11.2890 data_time: 9.6426 memory: 28971 loss_text: 0.1901 loss_kernel: 0.0850 loss: 0.2751 2022/08/26 06:11:07 - mmengine - INFO - Epoch(train) [103][15/63] lr: 1.0000e-04 eta: 1 day, 11:29:02 time: 2.1050 data_time: 0.1043 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0662 loss: 0.2103 2022/08/26 06:11:21 - mmengine - INFO - Epoch(train) [103][20/63] lr: 1.0000e-04 eta: 1 day, 11:27:26 time: 2.9285 data_time: 0.1500 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0598 loss: 0.1857 2022/08/26 06:11:28 - mmengine - INFO - Epoch(train) [103][25/63] lr: 1.0000e-04 eta: 1 day, 11:27:26 time: 2.1277 data_time: 0.2241 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0666 loss: 0.2143 2022/08/26 06:11:39 - mmengine - INFO - Epoch(train) [103][30/63] lr: 1.0000e-04 eta: 1 day, 11:24:53 time: 1.7600 data_time: 0.1513 memory: 28971 loss_text: 0.1732 loss_kernel: 0.0756 loss: 0.2488 2022/08/26 06:11:50 - mmengine - INFO - Epoch(train) [103][35/63] lr: 1.0000e-04 eta: 1 day, 11:24:53 time: 2.1780 data_time: 0.2941 memory: 28971 loss_text: 0.1759 loss_kernel: 0.0775 loss: 0.2533 2022/08/26 06:12:12 - mmengine - INFO - Epoch(train) [103][40/63] lr: 1.0000e-04 eta: 1 day, 11:23:36 time: 3.3145 data_time: 0.3615 memory: 28971 loss_text: 0.1775 loss_kernel: 0.0803 loss: 0.2578 2022/08/26 06:12:16 - mmengine - INFO - Epoch(train) [103][45/63] lr: 1.0000e-04 eta: 1 day, 11:23:36 time: 2.6344 data_time: 0.1428 memory: 28971 loss_text: 0.1635 loss_kernel: 0.0747 loss: 0.2381 2022/08/26 06:12:34 - mmengine - INFO - Epoch(train) [103][50/63] lr: 1.0000e-04 eta: 1 day, 11:21:25 time: 2.2148 data_time: 0.1523 memory: 28971 loss_text: 0.1391 loss_kernel: 0.0632 loss: 0.2023 2022/08/26 06:12:45 - mmengine - INFO - Epoch(train) [103][55/63] lr: 1.0000e-04 eta: 1 day, 11:21:25 time: 2.8824 data_time: 0.1593 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0591 loss: 0.1863 2022/08/26 06:12:55 - mmengine - INFO - Epoch(train) [103][60/63] lr: 1.0000e-04 eta: 1 day, 11:19:13 time: 2.1619 data_time: 0.3048 memory: 28971 loss_text: 0.1519 loss_kernel: 0.0707 loss: 0.2225 2022/08/26 06:13:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:14:51 - mmengine - INFO - Epoch(train) [104][5/63] lr: 1.0000e-04 eta: 1 day, 11:19:13 time: 11.6647 data_time: 9.3731 memory: 28971 loss_text: 0.1732 loss_kernel: 0.0763 loss: 0.2495 2022/08/26 06:14:57 - mmengine - INFO - Epoch(train) [104][10/63] lr: 1.0000e-04 eta: 1 day, 11:23:03 time: 11.1588 data_time: 9.4238 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0658 loss: 0.2148 2022/08/26 06:15:11 - mmengine - INFO - Epoch(train) [104][15/63] lr: 1.0000e-04 eta: 1 day, 11:23:03 time: 2.0481 data_time: 0.0904 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0608 loss: 0.2006 2022/08/26 06:15:16 - mmengine - INFO - Epoch(train) [104][20/63] lr: 1.0000e-04 eta: 1 day, 11:20:42 time: 1.9796 data_time: 0.1112 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0639 loss: 0.2076 2022/08/26 06:15:34 - mmengine - INFO - Epoch(train) [104][25/63] lr: 1.0000e-04 eta: 1 day, 11:20:42 time: 2.2598 data_time: 0.2058 memory: 28971 loss_text: 0.1669 loss_kernel: 0.0754 loss: 0.2422 2022/08/26 06:15:51 - mmengine - INFO - Epoch(train) [104][30/63] lr: 1.0000e-04 eta: 1 day, 11:19:31 time: 3.4341 data_time: 0.2260 memory: 28971 loss_text: 0.1804 loss_kernel: 0.0804 loss: 0.2608 2022/08/26 06:15:56 - mmengine - INFO - Epoch(train) [104][35/63] lr: 1.0000e-04 eta: 1 day, 11:19:31 time: 2.2385 data_time: 0.2123 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0665 loss: 0.2120 2022/08/26 06:16:13 - mmengine - INFO - Epoch(train) [104][40/63] lr: 1.0000e-04 eta: 1 day, 11:17:21 time: 2.1945 data_time: 0.1176 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0620 loss: 0.2008 2022/08/26 06:16:32 - mmengine - INFO - Epoch(train) [104][45/63] lr: 1.0000e-04 eta: 1 day, 11:17:21 time: 3.5868 data_time: 0.0878 memory: 28971 loss_text: 0.1518 loss_kernel: 0.0666 loss: 0.2184 2022/08/26 06:16:37 - mmengine - INFO - Epoch(train) [104][50/63] lr: 1.0000e-04 eta: 1 day, 11:15:24 time: 2.4619 data_time: 0.1910 memory: 28971 loss_text: 0.1714 loss_kernel: 0.0752 loss: 0.2466 2022/08/26 06:16:56 - mmengine - INFO - Epoch(train) [104][55/63] lr: 1.0000e-04 eta: 1 day, 11:15:24 time: 2.4209 data_time: 0.2878 memory: 28971 loss_text: 0.1870 loss_kernel: 0.0808 loss: 0.2679 2022/08/26 06:17:14 - mmengine - INFO - Epoch(train) [104][60/63] lr: 1.0000e-04 eta: 1 day, 11:14:24 time: 3.6524 data_time: 0.3310 memory: 28971 loss_text: 0.1785 loss_kernel: 0.0797 loss: 0.2581 2022/08/26 06:17:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:19:17 - mmengine - INFO - Epoch(train) [105][5/63] lr: 1.0000e-04 eta: 1 day, 11:14:24 time: 12.4451 data_time: 9.7389 memory: 28971 loss_text: 0.1680 loss_kernel: 0.0747 loss: 0.2427 2022/08/26 06:19:32 - mmengine - INFO - Epoch(train) [105][10/63] lr: 1.0000e-04 eta: 1 day, 11:18:59 time: 12.1589 data_time: 9.7047 memory: 28971 loss_text: 0.1731 loss_kernel: 0.0761 loss: 0.2492 2022/08/26 06:19:41 - mmengine - INFO - Epoch(train) [105][15/63] lr: 1.0000e-04 eta: 1 day, 11:18:59 time: 2.3756 data_time: 0.1169 memory: 28971 loss_text: 0.1590 loss_kernel: 0.0716 loss: 0.2306 2022/08/26 06:19:46 - mmengine - INFO - Epoch(train) [105][20/63] lr: 1.0000e-04 eta: 1 day, 11:16:09 time: 1.3600 data_time: 0.0834 memory: 28971 loss_text: 0.1807 loss_kernel: 0.0810 loss: 0.2617 2022/08/26 06:20:03 - mmengine - INFO - Epoch(train) [105][25/63] lr: 1.0000e-04 eta: 1 day, 11:16:09 time: 2.1758 data_time: 0.1274 memory: 28971 loss_text: 0.1815 loss_kernel: 0.0801 loss: 0.2615 2022/08/26 06:20:19 - mmengine - INFO - Epoch(train) [105][30/63] lr: 1.0000e-04 eta: 1 day, 11:14:50 time: 3.2598 data_time: 0.1477 memory: 28971 loss_text: 0.1842 loss_kernel: 0.0786 loss: 0.2628 2022/08/26 06:20:28 - mmengine - INFO - Epoch(train) [105][35/63] lr: 1.0000e-04 eta: 1 day, 11:14:50 time: 2.5507 data_time: 0.2756 memory: 28971 loss_text: 0.1708 loss_kernel: 0.0761 loss: 0.2469 2022/08/26 06:20:40 - mmengine - INFO - Epoch(train) [105][40/63] lr: 1.0000e-04 eta: 1 day, 11:12:39 time: 2.1489 data_time: 0.2253 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0610 loss: 0.1897 2022/08/26 06:20:48 - mmengine - INFO - Epoch(train) [105][45/63] lr: 1.0000e-04 eta: 1 day, 11:12:39 time: 1.9505 data_time: 0.1681 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0609 loss: 0.1908 2022/08/26 06:21:13 - mmengine - INFO - Epoch(train) [105][50/63] lr: 1.0000e-04 eta: 1 day, 11:11:22 time: 3.3029 data_time: 0.2961 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0594 loss: 0.1881 2022/08/26 06:21:18 - mmengine - INFO - Epoch(train) [105][55/63] lr: 1.0000e-04 eta: 1 day, 11:11:22 time: 3.0464 data_time: 0.2490 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0624 loss: 0.2011 2022/08/26 06:21:34 - mmengine - INFO - Epoch(train) [105][60/63] lr: 1.0000e-04 eta: 1 day, 11:09:08 time: 2.0688 data_time: 0.1373 memory: 28971 loss_text: 0.1377 loss_kernel: 0.0636 loss: 0.2013 2022/08/26 06:21:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:23:22 - mmengine - INFO - Epoch(train) [106][5/63] lr: 1.0000e-04 eta: 1 day, 11:09:08 time: 11.9479 data_time: 9.3572 memory: 28971 loss_text: 0.1397 loss_kernel: 0.0654 loss: 0.2052 2022/08/26 06:23:27 - mmengine - INFO - Epoch(train) [106][10/63] lr: 1.0000e-04 eta: 1 day, 11:12:47 time: 11.0594 data_time: 9.3412 memory: 28971 loss_text: 0.1521 loss_kernel: 0.0696 loss: 0.2218 2022/08/26 06:23:43 - mmengine - INFO - Epoch(train) [106][15/63] lr: 1.0000e-04 eta: 1 day, 11:12:47 time: 2.0794 data_time: 0.0960 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0675 loss: 0.2169 2022/08/26 06:23:47 - mmengine - INFO - Epoch(train) [106][20/63] lr: 1.0000e-04 eta: 1 day, 11:10:29 time: 1.9843 data_time: 0.0778 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0625 loss: 0.1994 2022/08/26 06:24:05 - mmengine - INFO - Epoch(train) [106][25/63] lr: 1.0000e-04 eta: 1 day, 11:10:29 time: 2.2763 data_time: 0.2216 memory: 28971 loss_text: 0.1640 loss_kernel: 0.0740 loss: 0.2379 2022/08/26 06:24:11 - mmengine - INFO - Epoch(train) [106][30/63] lr: 1.0000e-04 eta: 1 day, 11:08:27 time: 2.3338 data_time: 0.2320 memory: 28971 loss_text: 0.1837 loss_kernel: 0.0820 loss: 0.2657 2022/08/26 06:24:26 - mmengine - INFO - Epoch(train) [106][35/63] lr: 1.0000e-04 eta: 1 day, 11:08:27 time: 1.9949 data_time: 0.1060 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0671 loss: 0.2175 2022/08/26 06:24:30 - mmengine - INFO - Epoch(train) [106][40/63] lr: 1.0000e-04 eta: 1 day, 11:06:08 time: 1.9590 data_time: 0.1170 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0621 loss: 0.1948 2022/08/26 06:24:46 - mmengine - INFO - Epoch(train) [106][45/63] lr: 1.0000e-04 eta: 1 day, 11:06:08 time: 2.0786 data_time: 0.1490 memory: 28971 loss_text: 0.1635 loss_kernel: 0.0766 loss: 0.2400 2022/08/26 06:24:51 - mmengine - INFO - Epoch(train) [106][50/63] lr: 1.0000e-04 eta: 1 day, 11:03:56 time: 2.0999 data_time: 0.1458 memory: 28971 loss_text: 0.1666 loss_kernel: 0.0768 loss: 0.2434 2022/08/26 06:25:09 - mmengine - INFO - Epoch(train) [106][55/63] lr: 1.0000e-04 eta: 1 day, 11:03:56 time: 2.2276 data_time: 0.2539 memory: 28971 loss_text: 0.1325 loss_kernel: 0.0618 loss: 0.1943 2022/08/26 06:25:32 - mmengine - INFO - Epoch(train) [106][60/63] lr: 1.0000e-04 eta: 1 day, 11:03:13 time: 3.9917 data_time: 0.3388 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0636 loss: 0.2018 2022/08/26 06:25:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:27:32 - mmengine - INFO - Epoch(train) [107][5/63] lr: 1.0000e-04 eta: 1 day, 11:03:13 time: 13.9695 data_time: 10.1454 memory: 28971 loss_text: 0.1888 loss_kernel: 0.0841 loss: 0.2729 2022/08/26 06:27:47 - mmengine - INFO - Epoch(train) [107][10/63] lr: 1.0000e-04 eta: 1 day, 11:07:57 time: 12.5109 data_time: 10.2819 memory: 28971 loss_text: 0.1823 loss_kernel: 0.0836 loss: 0.2659 2022/08/26 06:27:52 - mmengine - INFO - Epoch(train) [107][15/63] lr: 1.0000e-04 eta: 1 day, 11:07:57 time: 2.0226 data_time: 0.3314 memory: 28971 loss_text: 0.1393 loss_kernel: 0.0671 loss: 0.2064 2022/08/26 06:27:58 - mmengine - INFO - Epoch(train) [107][20/63] lr: 1.0000e-04 eta: 1 day, 11:04:55 time: 1.0309 data_time: 0.0813 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0684 loss: 0.2140 2022/08/26 06:28:15 - mmengine - INFO - Epoch(train) [107][25/63] lr: 1.0000e-04 eta: 1 day, 11:04:55 time: 2.3004 data_time: 0.0867 memory: 28971 loss_text: 0.1638 loss_kernel: 0.0735 loss: 0.2373 2022/08/26 06:28:22 - mmengine - INFO - Epoch(train) [107][30/63] lr: 1.0000e-04 eta: 1 day, 11:03:01 time: 2.4669 data_time: 0.1180 memory: 28971 loss_text: 0.1702 loss_kernel: 0.0763 loss: 0.2466 2022/08/26 06:28:36 - mmengine - INFO - Epoch(train) [107][35/63] lr: 1.0000e-04 eta: 1 day, 11:03:01 time: 2.0703 data_time: 0.1310 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0746 loss: 0.2366 2022/08/26 06:28:53 - mmengine - INFO - Epoch(train) [107][40/63] lr: 1.0000e-04 eta: 1 day, 11:01:32 time: 3.0161 data_time: 0.1325 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0622 loss: 0.2001 2022/08/26 06:29:10 - mmengine - INFO - Epoch(train) [107][45/63] lr: 1.0000e-04 eta: 1 day, 11:01:32 time: 3.4005 data_time: 0.1814 memory: 28971 loss_text: 0.1481 loss_kernel: 0.0662 loss: 0.2143 2022/08/26 06:29:15 - mmengine - INFO - Epoch(train) [107][50/63] lr: 1.0000e-04 eta: 1 day, 10:59:29 time: 2.2721 data_time: 0.1741 memory: 28971 loss_text: 0.1906 loss_kernel: 0.0858 loss: 0.2764 2022/08/26 06:29:36 - mmengine - INFO - Epoch(train) [107][55/63] lr: 1.0000e-04 eta: 1 day, 10:59:29 time: 2.5292 data_time: 0.2674 memory: 28971 loss_text: 0.1859 loss_kernel: 0.0841 loss: 0.2700 2022/08/26 06:29:40 - mmengine - INFO - Epoch(train) [107][60/63] lr: 1.0000e-04 eta: 1 day, 10:57:38 time: 2.5267 data_time: 0.2980 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0651 loss: 0.2103 2022/08/26 06:29:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:31:41 - mmengine - INFO - Epoch(train) [108][5/63] lr: 1.0000e-04 eta: 1 day, 10:57:38 time: 12.1491 data_time: 9.2566 memory: 28971 loss_text: 0.1447 loss_kernel: 0.0636 loss: 0.2083 2022/08/26 06:31:47 - mmengine - INFO - Epoch(train) [108][10/63] lr: 1.0000e-04 eta: 1 day, 11:01:09 time: 11.0022 data_time: 9.3095 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0597 loss: 0.1936 2022/08/26 06:32:03 - mmengine - INFO - Epoch(train) [108][15/63] lr: 1.0000e-04 eta: 1 day, 11:01:09 time: 2.1363 data_time: 0.1381 memory: 28971 loss_text: 0.1397 loss_kernel: 0.0624 loss: 0.2021 2022/08/26 06:32:17 - mmengine - INFO - Epoch(train) [108][20/63] lr: 1.0000e-04 eta: 1 day, 10:59:33 time: 2.8446 data_time: 0.1482 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0678 loss: 0.2188 2022/08/26 06:32:24 - mmengine - INFO - Epoch(train) [108][25/63] lr: 1.0000e-04 eta: 1 day, 10:59:33 time: 2.1164 data_time: 0.2557 memory: 28971 loss_text: 0.1654 loss_kernel: 0.0742 loss: 0.2396 2022/08/26 06:32:28 - mmengine - INFO - Epoch(train) [108][30/63] lr: 1.0000e-04 eta: 1 day, 10:56:43 time: 1.2395 data_time: 0.1991 memory: 28971 loss_text: 0.1794 loss_kernel: 0.0802 loss: 0.2595 2022/08/26 06:32:47 - mmengine - INFO - Epoch(train) [108][35/63] lr: 1.0000e-04 eta: 1 day, 10:56:43 time: 2.3191 data_time: 0.0987 memory: 28971 loss_text: 0.1684 loss_kernel: 0.0752 loss: 0.2435 2022/08/26 06:32:52 - mmengine - INFO - Epoch(train) [108][40/63] lr: 1.0000e-04 eta: 1 day, 10:54:45 time: 2.3614 data_time: 0.1194 memory: 28971 loss_text: 0.1440 loss_kernel: 0.0646 loss: 0.2086 2022/08/26 06:33:08 - mmengine - INFO - Epoch(train) [108][45/63] lr: 1.0000e-04 eta: 1 day, 10:54:45 time: 2.1182 data_time: 0.1388 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0671 loss: 0.2153 2022/08/26 06:33:21 - mmengine - INFO - Epoch(train) [108][50/63] lr: 1.0000e-04 eta: 1 day, 10:53:06 time: 2.7625 data_time: 0.1495 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0658 loss: 0.2095 2022/08/26 06:33:27 - mmengine - INFO - Epoch(train) [108][55/63] lr: 1.0000e-04 eta: 1 day, 10:53:06 time: 1.9046 data_time: 0.2967 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0722 loss: 0.2316 2022/08/26 06:33:32 - mmengine - INFO - Epoch(train) [108][60/63] lr: 1.0000e-04 eta: 1 day, 10:50:16 time: 1.2206 data_time: 0.2803 memory: 28971 loss_text: 0.2044 loss_kernel: 0.0907 loss: 0.2951 2022/08/26 06:33:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:35:32 - mmengine - INFO - Epoch(train) [109][5/63] lr: 1.0000e-04 eta: 1 day, 10:50:16 time: 12.2083 data_time: 9.4394 memory: 28971 loss_text: 0.1639 loss_kernel: 0.0713 loss: 0.2352 2022/08/26 06:35:38 - mmengine - INFO - Epoch(train) [109][10/63] lr: 1.0000e-04 eta: 1 day, 10:53:49 time: 11.0885 data_time: 9.4634 memory: 28971 loss_text: 0.1662 loss_kernel: 0.0759 loss: 0.2421 2022/08/26 06:35:56 - mmengine - INFO - Epoch(train) [109][15/63] lr: 1.0000e-04 eta: 1 day, 10:53:49 time: 2.3610 data_time: 0.1224 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0758 loss: 0.2446 2022/08/26 06:36:01 - mmengine - INFO - Epoch(train) [109][20/63] lr: 1.0000e-04 eta: 1 day, 10:51:48 time: 2.2914 data_time: 0.1017 memory: 28971 loss_text: 0.1794 loss_kernel: 0.0804 loss: 0.2598 2022/08/26 06:36:18 - mmengine - INFO - Epoch(train) [109][25/63] lr: 1.0000e-04 eta: 1 day, 10:51:48 time: 2.2100 data_time: 0.1431 memory: 28971 loss_text: 0.1768 loss_kernel: 0.0793 loss: 0.2561 2022/08/26 06:36:28 - mmengine - INFO - Epoch(train) [109][30/63] lr: 1.0000e-04 eta: 1 day, 10:50:05 time: 2.6663 data_time: 0.1206 memory: 28971 loss_text: 0.1804 loss_kernel: 0.0811 loss: 0.2614 2022/08/26 06:36:37 - mmengine - INFO - Epoch(train) [109][35/63] lr: 1.0000e-04 eta: 1 day, 10:50:05 time: 1.8523 data_time: 0.1027 memory: 28971 loss_text: 0.1547 loss_kernel: 0.0711 loss: 0.2257 2022/08/26 06:36:53 - mmengine - INFO - Epoch(train) [109][40/63] lr: 1.0000e-04 eta: 1 day, 10:48:15 time: 2.5141 data_time: 0.1576 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0684 loss: 0.2164 2022/08/26 06:37:07 - mmengine - INFO - Epoch(train) [109][45/63] lr: 1.0000e-04 eta: 1 day, 10:48:15 time: 3.0606 data_time: 0.1418 memory: 28971 loss_text: 0.1690 loss_kernel: 0.0761 loss: 0.2451 2022/08/26 06:37:13 - mmengine - INFO - Epoch(train) [109][50/63] lr: 1.0000e-04 eta: 1 day, 10:46:02 time: 1.9976 data_time: 0.1053 memory: 28971 loss_text: 0.1696 loss_kernel: 0.0741 loss: 0.2437 2022/08/26 06:37:32 - mmengine - INFO - Epoch(train) [109][55/63] lr: 1.0000e-04 eta: 1 day, 10:46:02 time: 2.4558 data_time: 0.1647 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0761 loss: 0.2476 2022/08/26 06:37:50 - mmengine - INFO - Epoch(train) [109][60/63] lr: 1.0000e-04 eta: 1 day, 10:45:04 time: 3.6619 data_time: 0.2422 memory: 28971 loss_text: 0.1755 loss_kernel: 0.0767 loss: 0.2522 2022/08/26 06:38:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:39:51 - mmengine - INFO - Epoch(train) [110][5/63] lr: 1.0000e-04 eta: 1 day, 10:45:04 time: 12.3506 data_time: 9.2604 memory: 28971 loss_text: 0.1589 loss_kernel: 0.0689 loss: 0.2278 2022/08/26 06:39:56 - mmengine - INFO - Epoch(train) [110][10/63] lr: 1.0000e-04 eta: 1 day, 10:48:36 time: 11.1494 data_time: 9.2281 memory: 28971 loss_text: 0.2009 loss_kernel: 0.0865 loss: 0.2874 2022/08/26 06:40:10 - mmengine - INFO - Epoch(train) [110][15/63] lr: 1.0000e-04 eta: 1 day, 10:48:36 time: 1.9263 data_time: 0.2383 memory: 28971 loss_text: 0.1684 loss_kernel: 0.0729 loss: 0.2412 2022/08/26 06:40:28 - mmengine - INFO - Epoch(train) [110][20/63] lr: 1.0000e-04 eta: 1 day, 10:47:18 time: 3.2189 data_time: 0.2725 memory: 28971 loss_text: 0.1648 loss_kernel: 0.0729 loss: 0.2377 2022/08/26 06:40:36 - mmengine - INFO - Epoch(train) [110][25/63] lr: 1.0000e-04 eta: 1 day, 10:47:18 time: 2.5803 data_time: 0.1739 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0742 loss: 0.2429 2022/08/26 06:40:44 - mmengine - INFO - Epoch(train) [110][30/63] lr: 1.0000e-04 eta: 1 day, 10:44:49 time: 1.6241 data_time: 0.1110 memory: 28971 loss_text: 0.1543 loss_kernel: 0.0689 loss: 0.2232 2022/08/26 06:41:00 - mmengine - INFO - Epoch(train) [110][35/63] lr: 1.0000e-04 eta: 1 day, 10:44:49 time: 2.4184 data_time: 0.1502 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0669 loss: 0.2136 2022/08/26 06:41:07 - mmengine - INFO - Epoch(train) [110][40/63] lr: 1.0000e-04 eta: 1 day, 10:42:50 time: 2.2894 data_time: 0.1874 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0653 loss: 0.2122 2022/08/26 06:41:25 - mmengine - INFO - Epoch(train) [110][45/63] lr: 1.0000e-04 eta: 1 day, 10:42:50 time: 2.5046 data_time: 0.1730 memory: 28971 loss_text: 0.1675 loss_kernel: 0.0740 loss: 0.2414 2022/08/26 06:41:40 - mmengine - INFO - Epoch(train) [110][50/63] lr: 1.0000e-04 eta: 1 day, 10:41:38 time: 3.3430 data_time: 0.2358 memory: 28971 loss_text: 0.1811 loss_kernel: 0.0815 loss: 0.2627 2022/08/26 06:41:55 - mmengine - INFO - Epoch(train) [110][55/63] lr: 1.0000e-04 eta: 1 day, 10:41:38 time: 2.9859 data_time: 0.1825 memory: 28971 loss_text: 0.1733 loss_kernel: 0.0780 loss: 0.2512 2022/08/26 06:42:01 - mmengine - INFO - Epoch(train) [110][60/63] lr: 1.0000e-04 eta: 1 day, 10:39:34 time: 2.1557 data_time: 0.2219 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0704 loss: 0.2210 2022/08/26 06:42:06 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:43:51 - mmengine - INFO - Epoch(train) [111][5/63] lr: 1.0000e-04 eta: 1 day, 10:39:34 time: 11.2093 data_time: 9.4875 memory: 28971 loss_text: 0.1567 loss_kernel: 0.0724 loss: 0.2292 2022/08/26 06:44:10 - mmengine - INFO - Epoch(train) [111][10/63] lr: 1.0000e-04 eta: 1 day, 10:43:57 time: 12.3486 data_time: 9.6937 memory: 28971 loss_text: 0.1481 loss_kernel: 0.0679 loss: 0.2159 2022/08/26 06:44:14 - mmengine - INFO - Epoch(train) [111][15/63] lr: 1.0000e-04 eta: 1 day, 10:43:57 time: 2.3197 data_time: 0.2628 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0651 loss: 0.2036 2022/08/26 06:44:31 - mmengine - INFO - Epoch(train) [111][20/63] lr: 1.0000e-04 eta: 1 day, 10:41:47 time: 2.0367 data_time: 0.1425 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0651 loss: 0.2033 2022/08/26 06:44:36 - mmengine - INFO - Epoch(train) [111][25/63] lr: 1.0000e-04 eta: 1 day, 10:41:47 time: 2.1113 data_time: 0.1928 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0737 loss: 0.2355 2022/08/26 06:44:50 - mmengine - INFO - Epoch(train) [111][30/63] lr: 1.0000e-04 eta: 1 day, 10:39:36 time: 2.0080 data_time: 0.1423 memory: 28971 loss_text: 0.1795 loss_kernel: 0.0777 loss: 0.2572 2022/08/26 06:44:55 - mmengine - INFO - Epoch(train) [111][35/63] lr: 1.0000e-04 eta: 1 day, 10:39:36 time: 1.9791 data_time: 0.1079 memory: 28971 loss_text: 0.1748 loss_kernel: 0.0752 loss: 0.2500 2022/08/26 06:45:16 - mmengine - INFO - Epoch(train) [111][40/63] lr: 1.0000e-04 eta: 1 day, 10:37:47 time: 2.5154 data_time: 0.1235 memory: 28971 loss_text: 0.1635 loss_kernel: 0.0730 loss: 0.2364 2022/08/26 06:45:20 - mmengine - INFO - Epoch(train) [111][45/63] lr: 1.0000e-04 eta: 1 day, 10:37:47 time: 2.4713 data_time: 0.0916 memory: 28971 loss_text: 0.1594 loss_kernel: 0.0728 loss: 0.2322 2022/08/26 06:45:41 - mmengine - INFO - Epoch(train) [111][50/63] lr: 1.0000e-04 eta: 1 day, 10:35:59 time: 2.5132 data_time: 0.0929 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0630 loss: 0.2041 2022/08/26 06:45:52 - mmengine - INFO - Epoch(train) [111][55/63] lr: 1.0000e-04 eta: 1 day, 10:35:59 time: 3.2095 data_time: 0.1867 memory: 28971 loss_text: 0.1509 loss_kernel: 0.0666 loss: 0.2175 2022/08/26 06:46:04 - mmengine - INFO - Epoch(train) [111][60/63] lr: 1.0000e-04 eta: 1 day, 10:34:05 time: 2.3539 data_time: 0.2483 memory: 28971 loss_text: 0.1837 loss_kernel: 0.0834 loss: 0.2671 2022/08/26 06:46:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:48:02 - mmengine - INFO - Epoch(train) [112][5/63] lr: 1.0000e-04 eta: 1 day, 10:34:05 time: 11.8680 data_time: 9.6592 memory: 28971 loss_text: 0.1784 loss_kernel: 0.0790 loss: 0.2574 2022/08/26 06:48:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:48:07 - mmengine - INFO - Epoch(train) [112][10/63] lr: 1.0000e-04 eta: 1 day, 10:38:01 time: 11.8198 data_time: 9.7269 memory: 28971 loss_text: 0.1604 loss_kernel: 0.0693 loss: 0.2297 2022/08/26 06:48:28 - mmengine - INFO - Epoch(train) [112][15/63] lr: 1.0000e-04 eta: 1 day, 10:38:01 time: 2.6127 data_time: 0.1037 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0597 loss: 0.1907 2022/08/26 06:48:46 - mmengine - INFO - Epoch(train) [112][20/63] lr: 1.0000e-04 eta: 1 day, 10:37:12 time: 3.8492 data_time: 0.1297 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0617 loss: 0.1935 2022/08/26 06:48:54 - mmengine - INFO - Epoch(train) [112][25/63] lr: 1.0000e-04 eta: 1 day, 10:37:12 time: 2.6740 data_time: 0.3454 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0657 loss: 0.2089 2022/08/26 06:49:12 - mmengine - INFO - Epoch(train) [112][30/63] lr: 1.0000e-04 eta: 1 day, 10:35:28 time: 2.6066 data_time: 0.3288 memory: 28971 loss_text: 0.1619 loss_kernel: 0.0715 loss: 0.2334 2022/08/26 06:49:32 - mmengine - INFO - Epoch(train) [112][35/63] lr: 1.0000e-04 eta: 1 day, 10:35:28 time: 3.7610 data_time: 0.2737 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0619 loss: 0.2006 2022/08/26 06:49:50 - mmengine - INFO - Epoch(train) [112][40/63] lr: 1.0000e-04 eta: 1 day, 10:34:36 time: 3.7758 data_time: 0.2774 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0582 loss: 0.1849 2022/08/26 06:49:57 - mmengine - INFO - Epoch(train) [112][45/63] lr: 1.0000e-04 eta: 1 day, 10:34:36 time: 2.4975 data_time: 0.2793 memory: 28971 loss_text: 0.1815 loss_kernel: 0.0786 loss: 0.2601 2022/08/26 06:50:21 - mmengine - INFO - Epoch(train) [112][50/63] lr: 1.0000e-04 eta: 1 day, 10:33:16 time: 3.1337 data_time: 0.3574 memory: 28971 loss_text: 0.1783 loss_kernel: 0.0787 loss: 0.2569 2022/08/26 06:50:42 - mmengine - INFO - Epoch(train) [112][55/63] lr: 1.0000e-04 eta: 1 day, 10:33:16 time: 4.5623 data_time: 0.3636 memory: 28971 loss_text: 0.1322 loss_kernel: 0.0618 loss: 0.1940 2022/08/26 06:51:04 - mmengine - INFO - Epoch(train) [112][60/63] lr: 1.0000e-04 eta: 1 day, 10:32:47 time: 4.3076 data_time: 0.2171 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0621 loss: 0.1997 2022/08/26 06:51:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:53:19 - mmengine - INFO - Epoch(train) [113][5/63] lr: 1.0000e-04 eta: 1 day, 10:32:47 time: 13.5383 data_time: 9.8935 memory: 28971 loss_text: 0.1655 loss_kernel: 0.0716 loss: 0.2370 2022/08/26 06:53:39 - mmengine - INFO - Epoch(train) [113][10/63] lr: 1.0000e-04 eta: 1 day, 10:38:07 time: 13.8364 data_time: 9.8827 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0708 loss: 0.2303 2022/08/26 06:53:44 - mmengine - INFO - Epoch(train) [113][15/63] lr: 1.0000e-04 eta: 1 day, 10:38:07 time: 2.5408 data_time: 0.1633 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0668 loss: 0.2139 2022/08/26 06:54:03 - mmengine - INFO - Epoch(train) [113][20/63] lr: 1.0000e-04 eta: 1 day, 10:36:13 time: 2.3722 data_time: 0.1254 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0638 loss: 0.2056 2022/08/26 06:54:13 - mmengine - INFO - Epoch(train) [113][25/63] lr: 1.0000e-04 eta: 1 day, 10:36:13 time: 2.8936 data_time: 0.1972 memory: 28971 loss_text: 0.1702 loss_kernel: 0.0779 loss: 0.2481 2022/08/26 06:54:23 - mmengine - INFO - Epoch(train) [113][30/63] lr: 1.0000e-04 eta: 1 day, 10:34:03 time: 1.9924 data_time: 0.2002 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0694 loss: 0.2187 2022/08/26 06:54:40 - mmengine - INFO - Epoch(train) [113][35/63] lr: 1.0000e-04 eta: 1 day, 10:34:03 time: 2.6737 data_time: 0.1894 memory: 28971 loss_text: 0.1405 loss_kernel: 0.0652 loss: 0.2057 2022/08/26 06:54:45 - mmengine - INFO - Epoch(train) [113][40/63] lr: 1.0000e-04 eta: 1 day, 10:32:05 time: 2.2597 data_time: 0.1839 memory: 28971 loss_text: 0.1533 loss_kernel: 0.0714 loss: 0.2247 2022/08/26 06:55:05 - mmengine - INFO - Epoch(train) [113][45/63] lr: 1.0000e-04 eta: 1 day, 10:32:05 time: 2.4930 data_time: 0.1375 memory: 28971 loss_text: 0.1667 loss_kernel: 0.0774 loss: 0.2441 2022/08/26 06:55:26 - mmengine - INFO - Epoch(train) [113][50/63] lr: 1.0000e-04 eta: 1 day, 10:31:27 time: 4.0890 data_time: 0.1577 memory: 28971 loss_text: 0.1640 loss_kernel: 0.0751 loss: 0.2391 2022/08/26 06:55:31 - mmengine - INFO - Epoch(train) [113][55/63] lr: 1.0000e-04 eta: 1 day, 10:31:27 time: 2.6622 data_time: 0.1576 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0641 loss: 0.2051 2022/08/26 06:55:46 - mmengine - INFO - Epoch(train) [113][60/63] lr: 1.0000e-04 eta: 1 day, 10:29:15 time: 1.9459 data_time: 0.0977 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0575 loss: 0.1866 2022/08/26 06:55:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 06:57:29 - mmengine - INFO - Epoch(train) [114][5/63] lr: 1.0000e-04 eta: 1 day, 10:29:15 time: 10.4660 data_time: 9.0069 memory: 28971 loss_text: 0.2094 loss_kernel: 0.0915 loss: 0.3008 2022/08/26 06:57:34 - mmengine - INFO - Epoch(train) [114][10/63] lr: 1.0000e-04 eta: 1 day, 10:32:02 time: 10.3624 data_time: 8.9772 memory: 28971 loss_text: 0.1712 loss_kernel: 0.0758 loss: 0.2470 2022/08/26 06:57:42 - mmengine - INFO - Epoch(train) [114][15/63] lr: 1.0000e-04 eta: 1 day, 10:32:02 time: 1.2983 data_time: 0.0485 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0619 loss: 0.1999 2022/08/26 06:57:47 - mmengine - INFO - Epoch(train) [114][20/63] lr: 1.0000e-04 eta: 1 day, 10:29:24 time: 1.3008 data_time: 0.0498 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0660 loss: 0.2125 2022/08/26 06:57:52 - mmengine - INFO - Epoch(train) [114][25/63] lr: 1.0000e-04 eta: 1 day, 10:29:24 time: 0.9484 data_time: 0.0540 memory: 28971 loss_text: 0.1736 loss_kernel: 0.0767 loss: 0.2503 2022/08/26 06:57:59 - mmengine - INFO - Epoch(train) [114][30/63] lr: 1.0000e-04 eta: 1 day, 10:26:41 time: 1.1981 data_time: 0.0314 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0756 loss: 0.2444 2022/08/26 06:58:05 - mmengine - INFO - Epoch(train) [114][35/63] lr: 1.0000e-04 eta: 1 day, 10:26:41 time: 1.3268 data_time: 0.0614 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0662 loss: 0.2091 2022/08/26 06:58:10 - mmengine - INFO - Epoch(train) [114][40/63] lr: 1.0000e-04 eta: 1 day, 10:23:54 time: 1.0840 data_time: 0.0604 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0589 loss: 0.1897 2022/08/26 06:58:20 - mmengine - INFO - Epoch(train) [114][45/63] lr: 1.0000e-04 eta: 1 day, 10:23:54 time: 1.5159 data_time: 0.0448 memory: 28971 loss_text: 0.1433 loss_kernel: 0.0647 loss: 0.2080 2022/08/26 06:58:25 - mmengine - INFO - Epoch(train) [114][50/63] lr: 1.0000e-04 eta: 1 day, 10:21:26 time: 1.5422 data_time: 0.0741 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0649 loss: 0.2101 2022/08/26 06:58:30 - mmengine - INFO - Epoch(train) [114][55/63] lr: 1.0000e-04 eta: 1 day, 10:21:26 time: 0.9813 data_time: 0.0460 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0566 loss: 0.1859 2022/08/26 06:58:38 - mmengine - INFO - Epoch(train) [114][60/63] lr: 1.0000e-04 eta: 1 day, 10:18:47 time: 1.2580 data_time: 0.0268 memory: 28971 loss_text: 0.1410 loss_kernel: 0.0625 loss: 0.2035 2022/08/26 06:58:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:00:14 - mmengine - INFO - Epoch(train) [115][5/63] lr: 1.0000e-04 eta: 1 day, 10:18:47 time: 9.8914 data_time: 8.5724 memory: 28971 loss_text: 0.1571 loss_kernel: 0.0703 loss: 0.2274 2022/08/26 07:00:19 - mmengine - INFO - Epoch(train) [115][10/63] lr: 1.0000e-04 eta: 1 day, 10:21:10 time: 9.8236 data_time: 8.5632 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0661 loss: 0.2137 2022/08/26 07:00:25 - mmengine - INFO - Epoch(train) [115][15/63] lr: 1.0000e-04 eta: 1 day, 10:21:10 time: 1.0769 data_time: 0.0421 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0594 loss: 0.1883 2022/08/26 07:00:30 - mmengine - INFO - Epoch(train) [115][20/63] lr: 1.0000e-04 eta: 1 day, 10:18:26 time: 1.1233 data_time: 0.0543 memory: 28971 loss_text: 0.1131 loss_kernel: 0.0540 loss: 0.1670 2022/08/26 07:00:36 - mmengine - INFO - Epoch(train) [115][25/63] lr: 1.0000e-04 eta: 1 day, 10:18:26 time: 1.0883 data_time: 0.0680 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0698 loss: 0.2204 2022/08/26 07:00:41 - mmengine - INFO - Epoch(train) [115][30/63] lr: 1.0000e-04 eta: 1 day, 10:15:38 time: 1.0385 data_time: 0.0374 memory: 28971 loss_text: 0.1986 loss_kernel: 0.0894 loss: 0.2879 2022/08/26 07:00:48 - mmengine - INFO - Epoch(train) [115][35/63] lr: 1.0000e-04 eta: 1 day, 10:15:38 time: 1.2224 data_time: 0.0257 memory: 28971 loss_text: 0.1827 loss_kernel: 0.0820 loss: 0.2648 2022/08/26 07:00:53 - mmengine - INFO - Epoch(train) [115][40/63] lr: 1.0000e-04 eta: 1 day, 10:13:01 time: 1.2830 data_time: 0.0659 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0671 loss: 0.2179 2022/08/26 07:00:58 - mmengine - INFO - Epoch(train) [115][45/63] lr: 1.0000e-04 eta: 1 day, 10:13:01 time: 0.9657 data_time: 0.0681 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0743 loss: 0.2415 2022/08/26 07:01:08 - mmengine - INFO - Epoch(train) [115][50/63] lr: 1.0000e-04 eta: 1 day, 10:10:33 time: 1.4634 data_time: 0.0351 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0767 loss: 0.2454 2022/08/26 07:01:13 - mmengine - INFO - Epoch(train) [115][55/63] lr: 1.0000e-04 eta: 1 day, 10:10:33 time: 1.5338 data_time: 0.0379 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0575 loss: 0.1823 2022/08/26 07:01:18 - mmengine - INFO - Epoch(train) [115][60/63] lr: 1.0000e-04 eta: 1 day, 10:07:43 time: 0.9625 data_time: 0.0350 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0558 loss: 0.1777 2022/08/26 07:01:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:03:07 - mmengine - INFO - Epoch(train) [116][5/63] lr: 1.0000e-04 eta: 1 day, 10:07:43 time: 11.0495 data_time: 9.3119 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0574 loss: 0.1834 2022/08/26 07:03:12 - mmengine - INFO - Epoch(train) [116][10/63] lr: 1.0000e-04 eta: 1 day, 10:10:49 time: 10.8716 data_time: 9.3361 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0671 loss: 0.2137 2022/08/26 07:03:27 - mmengine - INFO - Epoch(train) [116][15/63] lr: 1.0000e-04 eta: 1 day, 10:10:49 time: 1.9928 data_time: 0.0895 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0674 loss: 0.2154 2022/08/26 07:03:32 - mmengine - INFO - Epoch(train) [116][20/63] lr: 1.0000e-04 eta: 1 day, 10:08:43 time: 2.0085 data_time: 0.1268 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0664 loss: 0.2107 2022/08/26 07:03:48 - mmengine - INFO - Epoch(train) [116][25/63] lr: 1.0000e-04 eta: 1 day, 10:08:43 time: 2.1180 data_time: 0.1913 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0695 loss: 0.2211 2022/08/26 07:03:53 - mmengine - INFO - Epoch(train) [116][30/63] lr: 1.0000e-04 eta: 1 day, 10:06:41 time: 2.0703 data_time: 0.1872 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0685 loss: 0.2167 2022/08/26 07:04:09 - mmengine - INFO - Epoch(train) [116][35/63] lr: 1.0000e-04 eta: 1 day, 10:06:41 time: 2.0512 data_time: 0.1856 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0680 loss: 0.2136 2022/08/26 07:04:13 - mmengine - INFO - Epoch(train) [116][40/63] lr: 1.0000e-04 eta: 1 day, 10:04:37 time: 2.0226 data_time: 0.1698 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0637 loss: 0.2015 2022/08/26 07:04:32 - mmengine - INFO - Epoch(train) [116][45/63] lr: 1.0000e-04 eta: 1 day, 10:04:37 time: 2.3293 data_time: 0.1498 memory: 28971 loss_text: 0.1433 loss_kernel: 0.0663 loss: 0.2096 2022/08/26 07:04:48 - mmengine - INFO - Epoch(train) [116][50/63] lr: 1.0000e-04 eta: 1 day, 10:03:35 time: 3.4921 data_time: 0.2558 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0670 loss: 0.2123 2022/08/26 07:04:59 - mmengine - INFO - Epoch(train) [116][55/63] lr: 1.0000e-04 eta: 1 day, 10:03:35 time: 2.7613 data_time: 0.2452 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0708 loss: 0.2295 2022/08/26 07:05:09 - mmengine - INFO - Epoch(train) [116][60/63] lr: 1.0000e-04 eta: 1 day, 10:01:33 time: 2.0768 data_time: 0.1758 memory: 28971 loss_text: 0.1629 loss_kernel: 0.0738 loss: 0.2367 2022/08/26 07:05:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:07:07 - mmengine - INFO - Epoch(train) [117][5/63] lr: 1.0000e-04 eta: 1 day, 10:01:33 time: 11.8887 data_time: 9.5348 memory: 28971 loss_text: 0.1736 loss_kernel: 0.0789 loss: 0.2525 2022/08/26 07:07:11 - mmengine - INFO - Epoch(train) [117][10/63] lr: 1.0000e-04 eta: 1 day, 10:04:37 time: 10.8790 data_time: 9.5018 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0616 loss: 0.1952 2022/08/26 07:07:26 - mmengine - INFO - Epoch(train) [117][15/63] lr: 1.0000e-04 eta: 1 day, 10:04:37 time: 1.8567 data_time: 0.0445 memory: 28971 loss_text: 0.1035 loss_kernel: 0.0495 loss: 0.1530 2022/08/26 07:07:31 - mmengine - INFO - Epoch(train) [117][20/63] lr: 1.0000e-04 eta: 1 day, 10:02:29 time: 1.9159 data_time: 0.0974 memory: 28971 loss_text: 0.1148 loss_kernel: 0.0563 loss: 0.1711 2022/08/26 07:07:46 - mmengine - INFO - Epoch(train) [117][25/63] lr: 1.0000e-04 eta: 1 day, 10:02:29 time: 2.0639 data_time: 0.1511 memory: 28971 loss_text: 0.1354 loss_kernel: 0.0652 loss: 0.2006 2022/08/26 07:07:51 - mmengine - INFO - Epoch(train) [117][30/63] lr: 1.0000e-04 eta: 1 day, 10:00:25 time: 2.0003 data_time: 0.1051 memory: 28971 loss_text: 0.1762 loss_kernel: 0.0804 loss: 0.2566 2022/08/26 07:08:05 - mmengine - INFO - Epoch(train) [117][35/63] lr: 1.0000e-04 eta: 1 day, 10:00:25 time: 1.9019 data_time: 0.0865 memory: 28971 loss_text: 0.1818 loss_kernel: 0.0816 loss: 0.2634 2022/08/26 07:08:10 - mmengine - INFO - Epoch(train) [117][40/63] lr: 1.0000e-04 eta: 1 day, 9:58:20 time: 1.9646 data_time: 0.0849 memory: 28971 loss_text: 0.1483 loss_kernel: 0.0669 loss: 0.2152 2022/08/26 07:08:25 - mmengine - INFO - Epoch(train) [117][45/63] lr: 1.0000e-04 eta: 1 day, 9:58:20 time: 1.9909 data_time: 0.0720 memory: 28971 loss_text: 0.1213 loss_kernel: 0.0553 loss: 0.1765 2022/08/26 07:08:31 - mmengine - INFO - Epoch(train) [117][50/63] lr: 1.0000e-04 eta: 1 day, 9:56:21 time: 2.1191 data_time: 0.1743 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0537 loss: 0.1732 2022/08/26 07:08:43 - mmengine - INFO - Epoch(train) [117][55/63] lr: 1.0000e-04 eta: 1 day, 9:56:21 time: 1.7923 data_time: 0.1527 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0662 loss: 0.2147 2022/08/26 07:09:04 - mmengine - INFO - Epoch(train) [117][60/63] lr: 1.0000e-04 eta: 1 day, 9:55:09 time: 3.2456 data_time: 0.1130 memory: 28971 loss_text: 0.1778 loss_kernel: 0.0804 loss: 0.2582 2022/08/26 07:09:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:11:00 - mmengine - INFO - Epoch(train) [118][5/63] lr: 1.0000e-04 eta: 1 day, 9:55:09 time: 12.0966 data_time: 9.6032 memory: 28971 loss_text: 0.1761 loss_kernel: 0.0807 loss: 0.2568 2022/08/26 07:11:05 - mmengine - INFO - Epoch(train) [118][10/63] lr: 1.0000e-04 eta: 1 day, 9:58:37 time: 11.5351 data_time: 9.6241 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0749 loss: 0.2367 2022/08/26 07:11:21 - mmengine - INFO - Epoch(train) [118][15/63] lr: 1.0000e-04 eta: 1 day, 9:58:37 time: 2.1667 data_time: 0.0808 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0638 loss: 0.1986 2022/08/26 07:11:26 - mmengine - INFO - Epoch(train) [118][20/63] lr: 1.0000e-04 eta: 1 day, 9:56:41 time: 2.1743 data_time: 0.0885 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0676 loss: 0.2131 2022/08/26 07:11:41 - mmengine - INFO - Epoch(train) [118][25/63] lr: 1.0000e-04 eta: 1 day, 9:56:41 time: 1.9692 data_time: 0.1217 memory: 28971 loss_text: 0.1828 loss_kernel: 0.0828 loss: 0.2656 2022/08/26 07:11:46 - mmengine - INFO - Epoch(train) [118][30/63] lr: 1.0000e-04 eta: 1 day, 9:54:37 time: 1.9798 data_time: 0.1183 memory: 28971 loss_text: 0.1833 loss_kernel: 0.0814 loss: 0.2647 2022/08/26 07:12:03 - mmengine - INFO - Epoch(train) [118][35/63] lr: 1.0000e-04 eta: 1 day, 9:54:37 time: 2.1600 data_time: 0.0760 memory: 28971 loss_text: 0.1624 loss_kernel: 0.0730 loss: 0.2354 2022/08/26 07:12:08 - mmengine - INFO - Epoch(train) [118][40/63] lr: 1.0000e-04 eta: 1 day, 9:52:40 time: 2.1424 data_time: 0.0784 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0648 loss: 0.2070 2022/08/26 07:12:25 - mmengine - INFO - Epoch(train) [118][45/63] lr: 1.0000e-04 eta: 1 day, 9:52:40 time: 2.2394 data_time: 0.1629 memory: 28971 loss_text: 0.1449 loss_kernel: 0.0644 loss: 0.2093 2022/08/26 07:12:29 - mmengine - INFO - Epoch(train) [118][50/63] lr: 1.0000e-04 eta: 1 day, 9:50:45 time: 2.1709 data_time: 0.1534 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0678 loss: 0.2180 2022/08/26 07:12:48 - mmengine - INFO - Epoch(train) [118][55/63] lr: 1.0000e-04 eta: 1 day, 9:50:45 time: 2.2810 data_time: 0.0835 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0686 loss: 0.2177 2022/08/26 07:12:53 - mmengine - INFO - Epoch(train) [118][60/63] lr: 1.0000e-04 eta: 1 day, 9:48:55 time: 2.3191 data_time: 0.0970 memory: 28971 loss_text: 0.1727 loss_kernel: 0.0804 loss: 0.2531 2022/08/26 07:13:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:14:57 - mmengine - INFO - Epoch(train) [119][5/63] lr: 1.0000e-04 eta: 1 day, 9:48:55 time: 12.5306 data_time: 9.5058 memory: 28971 loss_text: 0.1774 loss_kernel: 0.0819 loss: 0.2593 2022/08/26 07:15:03 - mmengine - INFO - Epoch(train) [119][10/63] lr: 1.0000e-04 eta: 1 day, 9:52:06 time: 11.1598 data_time: 9.5170 memory: 28971 loss_text: 0.1566 loss_kernel: 0.0714 loss: 0.2280 2022/08/26 07:15:18 - mmengine - INFO - Epoch(train) [119][15/63] lr: 1.0000e-04 eta: 1 day, 9:52:06 time: 2.0312 data_time: 0.1202 memory: 28971 loss_text: 0.1316 loss_kernel: 0.0604 loss: 0.1920 2022/08/26 07:15:23 - mmengine - INFO - Epoch(train) [119][20/63] lr: 1.0000e-04 eta: 1 day, 9:50:06 time: 2.0555 data_time: 0.1293 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0668 loss: 0.2120 2022/08/26 07:15:37 - mmengine - INFO - Epoch(train) [119][25/63] lr: 1.0000e-04 eta: 1 day, 9:50:06 time: 1.9511 data_time: 0.2208 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0752 loss: 0.2401 2022/08/26 07:15:54 - mmengine - INFO - Epoch(train) [119][30/63] lr: 1.0000e-04 eta: 1 day, 9:48:46 time: 3.0376 data_time: 0.2308 memory: 28971 loss_text: 0.1665 loss_kernel: 0.0734 loss: 0.2399 2022/08/26 07:16:01 - mmengine - INFO - Epoch(train) [119][35/63] lr: 1.0000e-04 eta: 1 day, 9:48:46 time: 2.4353 data_time: 0.2585 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0622 loss: 0.2038 2022/08/26 07:16:17 - mmengine - INFO - Epoch(train) [119][40/63] lr: 1.0000e-04 eta: 1 day, 9:46:56 time: 2.2924 data_time: 0.2441 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0606 loss: 0.1929 2022/08/26 07:16:21 - mmengine - INFO - Epoch(train) [119][45/63] lr: 1.0000e-04 eta: 1 day, 9:46:56 time: 1.9716 data_time: 0.1062 memory: 28971 loss_text: 0.1513 loss_kernel: 0.0693 loss: 0.2206 2022/08/26 07:16:36 - mmengine - INFO - Epoch(train) [119][50/63] lr: 1.0000e-04 eta: 1 day, 9:44:53 time: 1.9645 data_time: 0.1669 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0655 loss: 0.2076 2022/08/26 07:16:41 - mmengine - INFO - Epoch(train) [119][55/63] lr: 1.0000e-04 eta: 1 day, 9:44:53 time: 2.0113 data_time: 0.1953 memory: 28971 loss_text: 0.1656 loss_kernel: 0.0760 loss: 0.2416 2022/08/26 07:16:58 - mmengine - INFO - Epoch(train) [119][60/63] lr: 1.0000e-04 eta: 1 day, 9:42:57 time: 2.1230 data_time: 0.1178 memory: 28971 loss_text: 0.1698 loss_kernel: 0.0774 loss: 0.2472 2022/08/26 07:17:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:18:47 - mmengine - INFO - Epoch(train) [120][5/63] lr: 1.0000e-04 eta: 1 day, 9:42:57 time: 11.1289 data_time: 9.3062 memory: 28971 loss_text: 0.1898 loss_kernel: 0.0852 loss: 0.2750 2022/08/26 07:18:53 - mmengine - INFO - Epoch(train) [120][10/63] lr: 1.0000e-04 eta: 1 day, 9:45:59 time: 11.0147 data_time: 9.3334 memory: 28971 loss_text: 0.1982 loss_kernel: 0.0888 loss: 0.2870 2022/08/26 07:19:08 - mmengine - INFO - Epoch(train) [120][15/63] lr: 1.0000e-04 eta: 1 day, 9:45:59 time: 2.1450 data_time: 0.1548 memory: 28971 loss_text: 0.1688 loss_kernel: 0.0760 loss: 0.2447 2022/08/26 07:19:14 - mmengine - INFO - Epoch(train) [120][20/63] lr: 1.0000e-04 eta: 1 day, 9:44:01 time: 2.0875 data_time: 0.1096 memory: 28971 loss_text: 0.1575 loss_kernel: 0.0721 loss: 0.2296 2022/08/26 07:19:28 - mmengine - INFO - Epoch(train) [120][25/63] lr: 1.0000e-04 eta: 1 day, 9:44:01 time: 1.9583 data_time: 0.1710 memory: 28971 loss_text: 0.1657 loss_kernel: 0.0752 loss: 0.2408 2022/08/26 07:19:35 - mmengine - INFO - Epoch(train) [120][30/63] lr: 1.0000e-04 eta: 1 day, 9:42:02 time: 2.0265 data_time: 0.1505 memory: 28971 loss_text: 0.1705 loss_kernel: 0.0771 loss: 0.2475 2022/08/26 07:19:48 - mmengine - INFO - Epoch(train) [120][35/63] lr: 1.0000e-04 eta: 1 day, 9:42:02 time: 2.0155 data_time: 0.0991 memory: 28971 loss_text: 0.1628 loss_kernel: 0.0732 loss: 0.2359 2022/08/26 07:19:53 - mmengine - INFO - Epoch(train) [120][40/63] lr: 1.0000e-04 eta: 1 day, 9:39:54 time: 1.8336 data_time: 0.0836 memory: 28971 loss_text: 0.1710 loss_kernel: 0.0732 loss: 0.2442 2022/08/26 07:20:08 - mmengine - INFO - Epoch(train) [120][45/63] lr: 1.0000e-04 eta: 1 day, 9:39:54 time: 1.9358 data_time: 0.1464 memory: 28971 loss_text: 0.1658 loss_kernel: 0.0707 loss: 0.2365 2022/08/26 07:20:12 - mmengine - INFO - Epoch(train) [120][50/63] lr: 1.0000e-04 eta: 1 day, 9:37:52 time: 1.9522 data_time: 0.1677 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0618 loss: 0.1995 2022/08/26 07:20:27 - mmengine - INFO - Epoch(train) [120][55/63] lr: 1.0000e-04 eta: 1 day, 9:37:52 time: 1.9496 data_time: 0.0863 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0608 loss: 0.1925 2022/08/26 07:20:33 - mmengine - INFO - Epoch(train) [120][60/63] lr: 1.0000e-04 eta: 1 day, 9:35:55 time: 2.0864 data_time: 0.1574 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0631 loss: 0.2034 2022/08/26 07:20:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:20:46 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/26 07:21:28 - mmengine - INFO - Epoch(val) [120][5/500] eta: 1 day, 9:35:55 time: 3.4091 data_time: 2.8092 memory: 28971 2022/08/26 07:21:28 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:27:16 time: 3.3402 data_time: 2.8115 memory: 3207 2022/08/26 07:21:29 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:27:16 time: 0.0966 data_time: 0.0054 memory: 3207 2022/08/26 07:21:30 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:00:50 time: 0.1057 data_time: 0.0026 memory: 3207 2022/08/26 07:21:30 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:00:50 time: 0.0958 data_time: 0.0029 memory: 3207 2022/08/26 07:21:30 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:00:40 time: 0.0871 data_time: 0.0029 memory: 3207 2022/08/26 07:21:31 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:00:40 time: 0.0911 data_time: 0.0066 memory: 3207 2022/08/26 07:21:31 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:42 time: 0.0922 data_time: 0.0065 memory: 3207 2022/08/26 07:21:32 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:42 time: 0.0906 data_time: 0.0030 memory: 3207 2022/08/26 07:21:32 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:39 time: 0.0885 data_time: 0.0062 memory: 3207 2022/08/26 07:21:33 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:39 time: 0.0882 data_time: 0.0059 memory: 3207 2022/08/26 07:21:34 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:00:59 time: 0.1349 data_time: 0.0241 memory: 3207 2022/08/26 07:21:34 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:00:59 time: 0.1476 data_time: 0.0255 memory: 3207 2022/08/26 07:21:35 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:00:42 time: 0.0997 data_time: 0.0040 memory: 3207 2022/08/26 07:21:35 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:00:42 time: 0.0843 data_time: 0.0026 memory: 3207 2022/08/26 07:21:36 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:00:43 time: 0.1041 data_time: 0.0259 memory: 3207 2022/08/26 07:21:36 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:00:43 time: 0.1024 data_time: 0.0259 memory: 3207 2022/08/26 07:21:37 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:01:15 time: 0.1830 data_time: 0.0027 memory: 3207 2022/08/26 07:21:38 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:01:15 time: 0.1902 data_time: 0.0061 memory: 3207 2022/08/26 07:21:42 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:02:43 time: 0.4090 data_time: 0.0058 memory: 3207 2022/08/26 07:21:44 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:02:43 time: 0.6454 data_time: 0.1286 memory: 3207 2022/08/26 07:21:45 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:02:06 time: 0.3253 data_time: 0.1301 memory: 3207 2022/08/26 07:21:45 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:02:06 time: 0.0944 data_time: 0.0040 memory: 3207 2022/08/26 07:21:46 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:37 time: 0.0975 data_time: 0.0025 memory: 3207 2022/08/26 07:21:46 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:37 time: 0.0870 data_time: 0.0026 memory: 3207 2022/08/26 07:21:47 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:00:38 time: 0.1049 data_time: 0.0028 memory: 3207 2022/08/26 07:21:47 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:00:38 time: 0.1055 data_time: 0.0029 memory: 3207 2022/08/26 07:21:48 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:52 time: 0.1470 data_time: 0.0070 memory: 3207 2022/08/26 07:21:49 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:52 time: 0.1513 data_time: 0.0069 memory: 3207 2022/08/26 07:21:49 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:31 time: 0.0887 data_time: 0.0027 memory: 3207 2022/08/26 07:21:50 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:31 time: 0.0917 data_time: 0.0025 memory: 3207 2022/08/26 07:21:50 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:31 time: 0.0932 data_time: 0.0024 memory: 3207 2022/08/26 07:21:51 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:31 time: 0.0875 data_time: 0.0024 memory: 3207 2022/08/26 07:21:51 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:28 time: 0.0873 data_time: 0.0024 memory: 3207 2022/08/26 07:21:51 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:28 time: 0.0839 data_time: 0.0026 memory: 3207 2022/08/26 07:21:52 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:26 time: 0.0829 data_time: 0.0030 memory: 3207 2022/08/26 07:21:52 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:26 time: 0.0931 data_time: 0.0074 memory: 3207 2022/08/26 07:21:53 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:32 time: 0.1057 data_time: 0.0171 memory: 3207 2022/08/26 07:21:53 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:32 time: 0.1084 data_time: 0.0248 memory: 3207 2022/08/26 07:22:02 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:04:07 time: 0.8253 data_time: 0.0522 memory: 3207 2022/08/26 07:22:02 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:04:07 time: 0.8884 data_time: 0.0884 memory: 3207 2022/08/26 07:22:03 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:00:59 time: 0.2041 data_time: 0.0730 memory: 3207 2022/08/26 07:22:04 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:00:59 time: 0.1390 data_time: 0.0301 memory: 3207 2022/08/26 07:22:04 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:28 time: 0.1004 data_time: 0.0152 memory: 3207 2022/08/26 07:22:05 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:28 time: 0.0931 data_time: 0.0099 memory: 3207 2022/08/26 07:22:05 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:25 time: 0.0933 data_time: 0.0026 memory: 3207 2022/08/26 07:22:06 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:25 time: 0.0925 data_time: 0.0026 memory: 3207 2022/08/26 07:22:06 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:24 time: 0.0924 data_time: 0.0027 memory: 3207 2022/08/26 07:22:06 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:24 time: 0.0905 data_time: 0.0026 memory: 3207 2022/08/26 07:22:07 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:21 time: 0.0867 data_time: 0.0027 memory: 3207 2022/08/26 07:22:07 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:21 time: 0.0871 data_time: 0.0028 memory: 3207 2022/08/26 07:22:08 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:23 time: 0.0994 data_time: 0.0039 memory: 3207 2022/08/26 07:22:08 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:23 time: 0.1122 data_time: 0.0038 memory: 3207 2022/08/26 07:22:10 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:48 time: 0.2104 data_time: 0.0250 memory: 3207 2022/08/26 07:22:11 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:48 time: 0.2205 data_time: 0.0487 memory: 3207 2022/08/26 07:22:11 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:23 time: 0.1086 data_time: 0.0264 memory: 3207 2022/08/26 07:22:11 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:23 time: 0.0853 data_time: 0.0027 memory: 3207 2022/08/26 07:22:23 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:03:57 time: 1.1304 data_time: 0.1163 memory: 3207 2022/08/26 07:22:24 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:03:57 time: 1.2489 data_time: 0.1535 memory: 3207 2022/08/26 07:22:25 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:44 time: 0.2235 data_time: 0.0532 memory: 3207 2022/08/26 07:22:25 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:44 time: 0.1058 data_time: 0.0160 memory: 3207 2022/08/26 07:22:25 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:15 time: 0.0827 data_time: 0.0028 memory: 3207 2022/08/26 07:22:26 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:15 time: 0.0999 data_time: 0.0028 memory: 3207 2022/08/26 07:22:26 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:18 time: 0.1002 data_time: 0.0027 memory: 3207 2022/08/26 07:22:27 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:18 time: 0.0981 data_time: 0.0028 memory: 3207 2022/08/26 07:22:27 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:16 time: 0.0971 data_time: 0.0027 memory: 3207 2022/08/26 07:22:28 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:16 time: 0.0802 data_time: 0.0025 memory: 3207 2022/08/26 07:22:28 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:14 time: 0.0903 data_time: 0.0027 memory: 3207 2022/08/26 07:22:29 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:14 time: 0.0919 data_time: 0.0027 memory: 3207 2022/08/26 07:22:29 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:13 time: 0.0889 data_time: 0.0024 memory: 3207 2022/08/26 07:22:30 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:13 time: 0.1436 data_time: 0.0025 memory: 3207 2022/08/26 07:22:31 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:21 time: 0.1544 data_time: 0.0026 memory: 3207 2022/08/26 07:22:31 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:21 time: 0.1033 data_time: 0.0049 memory: 3207 2022/08/26 07:22:32 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:13 time: 0.1004 data_time: 0.0145 memory: 3207 2022/08/26 07:22:32 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:13 time: 0.0952 data_time: 0.0122 memory: 3207 2022/08/26 07:22:39 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:01:23 time: 0.6938 data_time: 0.0405 memory: 3207 2022/08/26 07:22:39 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:01:23 time: 0.7299 data_time: 0.0741 memory: 3207 2022/08/26 07:22:40 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:16 time: 0.1461 data_time: 0.0369 memory: 3207 2022/08/26 07:22:41 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:16 time: 0.1876 data_time: 0.0206 memory: 3207 2022/08/26 07:22:42 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:16 time: 0.1654 data_time: 0.0220 memory: 3207 2022/08/26 07:22:42 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:16 time: 0.0927 data_time: 0.0049 memory: 3207 2022/08/26 07:22:43 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:08 time: 0.0912 data_time: 0.0029 memory: 3207 2022/08/26 07:22:43 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:08 time: 0.0881 data_time: 0.0028 memory: 3207 2022/08/26 07:22:44 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:10 time: 0.1303 data_time: 0.0244 memory: 3207 2022/08/26 07:22:44 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:10 time: 0.1317 data_time: 0.0244 memory: 3207 2022/08/26 07:22:45 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:06 time: 0.0861 data_time: 0.0028 memory: 3207 2022/08/26 07:22:45 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:06 time: 0.0858 data_time: 0.0031 memory: 3207 2022/08/26 07:22:46 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:05 time: 0.0863 data_time: 0.0032 memory: 3207 2022/08/26 07:22:46 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:05 time: 0.0905 data_time: 0.0030 memory: 3207 2022/08/26 07:22:47 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:04 time: 0.0911 data_time: 0.0029 memory: 3207 2022/08/26 07:22:47 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:04 time: 0.0936 data_time: 0.0028 memory: 3207 2022/08/26 07:22:48 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:03 time: 0.0888 data_time: 0.0026 memory: 3207 2022/08/26 07:22:48 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:03 time: 0.0801 data_time: 0.0026 memory: 3207 2022/08/26 07:22:49 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:02 time: 0.0972 data_time: 0.0178 memory: 3207 2022/08/26 07:22:51 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:02 time: 0.0967 data_time: 0.0178 memory: 3207 2022/08/26 07:22:58 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:19 time: 0.9578 data_time: 0.2472 memory: 3207 2022/08/26 07:22:59 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:19 time: 0.9883 data_time: 0.2549 memory: 3207 2022/08/26 07:22:59 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:01 time: 0.1158 data_time: 0.0106 memory: 3207 2022/08/26 07:23:00 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:01 time: 0.0957 data_time: 0.0079 memory: 3207 2022/08/26 07:23:00 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.0908 data_time: 0.0076 memory: 3207 2022/08/26 07:23:00 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 07:23:00 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7641, precision: 0.5922, hmean: 0.6672 2022/08/26 07:23:00 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7641, precision: 0.5922, hmean: 0.6672 2022/08/26 07:23:00 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7641, precision: 0.5922, hmean: 0.6672 2022/08/26 07:23:00 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7641, precision: 0.6368, hmean: 0.6947 2022/08/26 07:23:00 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7617, precision: 0.7075, hmean: 0.7336 2022/08/26 07:23:00 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7511, precision: 0.7708, hmean: 0.7608 2022/08/26 07:23:00 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6943, precision: 0.8517, hmean: 0.7650 2022/08/26 07:23:00 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.8517 icdar/recall: 0.6943 icdar/hmean: 0.7650 2022/08/26 07:24:42 - mmengine - INFO - Epoch(train) [121][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 11.6295 data_time: 9.0238 memory: 28971 loss_text: 0.1721 loss_kernel: 0.0779 loss: 0.2499 2022/08/26 07:24:48 - mmengine - INFO - Epoch(train) [121][10/63] lr: 1.0000e-04 eta: 1 day, 9:38:43 time: 10.6959 data_time: 9.0516 memory: 28971 loss_text: 0.1405 loss_kernel: 0.0651 loss: 0.2056 2022/08/26 07:25:02 - mmengine - INFO - Epoch(train) [121][15/63] lr: 1.0000e-04 eta: 1 day, 9:38:43 time: 2.0116 data_time: 0.0830 memory: 28971 loss_text: 0.1561 loss_kernel: 0.0710 loss: 0.2271 2022/08/26 07:25:07 - mmengine - INFO - Epoch(train) [121][20/63] lr: 1.0000e-04 eta: 1 day, 9:36:40 time: 1.9339 data_time: 0.0885 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0666 loss: 0.2127 2022/08/26 07:25:24 - mmengine - INFO - Epoch(train) [121][25/63] lr: 1.0000e-04 eta: 1 day, 9:36:40 time: 2.1680 data_time: 0.1679 memory: 28971 loss_text: 0.1395 loss_kernel: 0.0638 loss: 0.2033 2022/08/26 07:25:29 - mmengine - INFO - Epoch(train) [121][30/63] lr: 1.0000e-04 eta: 1 day, 9:34:49 time: 2.2241 data_time: 0.1615 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0672 loss: 0.2147 2022/08/26 07:25:47 - mmengine - INFO - Epoch(train) [121][35/63] lr: 1.0000e-04 eta: 1 day, 9:34:49 time: 2.3676 data_time: 0.1539 memory: 28971 loss_text: 0.1723 loss_kernel: 0.0767 loss: 0.2490 2022/08/26 07:26:01 - mmengine - INFO - Epoch(train) [121][40/63] lr: 1.0000e-04 eta: 1 day, 9:33:32 time: 3.0643 data_time: 0.1466 memory: 28971 loss_text: 0.1722 loss_kernel: 0.0758 loss: 0.2481 2022/08/26 07:26:14 - mmengine - INFO - Epoch(train) [121][45/63] lr: 1.0000e-04 eta: 1 day, 9:33:32 time: 2.6452 data_time: 0.2812 memory: 28971 loss_text: 0.1678 loss_kernel: 0.0751 loss: 0.2429 2022/08/26 07:26:28 - mmengine - INFO - Epoch(train) [121][50/63] lr: 1.0000e-04 eta: 1 day, 9:32:03 time: 2.7679 data_time: 0.3722 memory: 28971 loss_text: 0.1791 loss_kernel: 0.0804 loss: 0.2596 2022/08/26 07:26:45 - mmengine - INFO - Epoch(train) [121][55/63] lr: 1.0000e-04 eta: 1 day, 9:32:03 time: 3.1089 data_time: 0.2081 memory: 28971 loss_text: 0.1738 loss_kernel: 0.0784 loss: 0.2523 2022/08/26 07:27:04 - mmengine - INFO - Epoch(train) [121][60/63] lr: 1.0000e-04 eta: 1 day, 9:31:06 time: 3.5826 data_time: 0.2570 memory: 28971 loss_text: 0.1656 loss_kernel: 0.0749 loss: 0.2405 2022/08/26 07:27:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:28:57 - mmengine - INFO - Epoch(train) [122][5/63] lr: 1.0000e-04 eta: 1 day, 9:31:06 time: 12.0846 data_time: 9.0668 memory: 28971 loss_text: 0.1991 loss_kernel: 0.0866 loss: 0.2856 2022/08/26 07:29:02 - mmengine - INFO - Epoch(train) [122][10/63] lr: 1.0000e-04 eta: 1 day, 9:33:41 time: 10.4351 data_time: 9.0093 memory: 28971 loss_text: 0.2037 loss_kernel: 0.0894 loss: 0.2931 2022/08/26 07:29:17 - mmengine - INFO - Epoch(train) [122][15/63] lr: 1.0000e-04 eta: 1 day, 9:33:41 time: 1.9274 data_time: 0.1183 memory: 28971 loss_text: 0.1733 loss_kernel: 0.0764 loss: 0.2498 2022/08/26 07:29:21 - mmengine - INFO - Epoch(train) [122][20/63] lr: 1.0000e-04 eta: 1 day, 9:31:40 time: 1.9305 data_time: 0.1507 memory: 28971 loss_text: 0.1828 loss_kernel: 0.0802 loss: 0.2631 2022/08/26 07:29:37 - mmengine - INFO - Epoch(train) [122][25/63] lr: 1.0000e-04 eta: 1 day, 9:31:40 time: 2.0038 data_time: 0.1526 memory: 28971 loss_text: 0.1970 loss_kernel: 0.0892 loss: 0.2861 2022/08/26 07:29:41 - mmengine - INFO - Epoch(train) [122][30/63] lr: 1.0000e-04 eta: 1 day, 9:29:40 time: 1.9770 data_time: 0.1354 memory: 28971 loss_text: 0.1694 loss_kernel: 0.0775 loss: 0.2468 2022/08/26 07:29:56 - mmengine - INFO - Epoch(train) [122][35/63] lr: 1.0000e-04 eta: 1 day, 9:29:40 time: 1.9543 data_time: 0.0985 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0589 loss: 0.1884 2022/08/26 07:30:01 - mmengine - INFO - Epoch(train) [122][40/63] lr: 1.0000e-04 eta: 1 day, 9:27:42 time: 2.0248 data_time: 0.1257 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0671 loss: 0.2162 2022/08/26 07:30:14 - mmengine - INFO - Epoch(train) [122][45/63] lr: 1.0000e-04 eta: 1 day, 9:27:42 time: 1.7708 data_time: 0.0926 memory: 28971 loss_text: 0.1663 loss_kernel: 0.0729 loss: 0.2392 2022/08/26 07:30:33 - mmengine - INFO - Epoch(train) [122][50/63] lr: 1.0000e-04 eta: 1 day, 9:26:26 time: 3.0801 data_time: 0.1298 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0643 loss: 0.2095 2022/08/26 07:30:46 - mmengine - INFO - Epoch(train) [122][55/63] lr: 1.0000e-04 eta: 1 day, 9:26:26 time: 3.1972 data_time: 0.2800 memory: 28971 loss_text: 0.1362 loss_kernel: 0.0620 loss: 0.1983 2022/08/26 07:30:53 - mmengine - INFO - Epoch(train) [122][60/63] lr: 1.0000e-04 eta: 1 day, 9:24:33 time: 2.1258 data_time: 0.2001 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0637 loss: 0.2036 2022/08/26 07:31:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:32:52 - mmengine - INFO - Epoch(train) [123][5/63] lr: 1.0000e-04 eta: 1 day, 9:24:33 time: 12.2864 data_time: 9.0093 memory: 28971 loss_text: 0.1676 loss_kernel: 0.0747 loss: 0.2423 2022/08/26 07:32:57 - mmengine - INFO - Epoch(train) [123][10/63] lr: 1.0000e-04 eta: 1 day, 9:27:23 time: 10.8717 data_time: 9.0635 memory: 28971 loss_text: 0.1698 loss_kernel: 0.0741 loss: 0.2439 2022/08/26 07:33:12 - mmengine - INFO - Epoch(train) [123][15/63] lr: 1.0000e-04 eta: 1 day, 9:27:23 time: 2.0165 data_time: 0.1133 memory: 28971 loss_text: 0.1640 loss_kernel: 0.0728 loss: 0.2369 2022/08/26 07:33:17 - mmengine - INFO - Epoch(train) [123][20/63] lr: 1.0000e-04 eta: 1 day, 9:25:24 time: 1.9674 data_time: 0.0809 memory: 28971 loss_text: 0.1602 loss_kernel: 0.0710 loss: 0.2311 2022/08/26 07:33:33 - mmengine - INFO - Epoch(train) [123][25/63] lr: 1.0000e-04 eta: 1 day, 9:25:24 time: 2.0863 data_time: 0.1424 memory: 28971 loss_text: 0.1536 loss_kernel: 0.0681 loss: 0.2217 2022/08/26 07:33:38 - mmengine - INFO - Epoch(train) [123][30/63] lr: 1.0000e-04 eta: 1 day, 9:23:30 time: 2.1023 data_time: 0.1453 memory: 28971 loss_text: 0.1531 loss_kernel: 0.0680 loss: 0.2211 2022/08/26 07:33:54 - mmengine - INFO - Epoch(train) [123][35/63] lr: 1.0000e-04 eta: 1 day, 9:23:30 time: 2.0798 data_time: 0.1617 memory: 28971 loss_text: 0.1466 loss_kernel: 0.0654 loss: 0.2120 2022/08/26 07:33:58 - mmengine - INFO - Epoch(train) [123][40/63] lr: 1.0000e-04 eta: 1 day, 9:21:34 time: 2.0478 data_time: 0.1558 memory: 28971 loss_text: 0.1812 loss_kernel: 0.0801 loss: 0.2613 2022/08/26 07:34:13 - mmengine - INFO - Epoch(train) [123][45/63] lr: 1.0000e-04 eta: 1 day, 9:21:34 time: 1.9039 data_time: 0.1097 memory: 28971 loss_text: 0.1612 loss_kernel: 0.0734 loss: 0.2346 2022/08/26 07:34:17 - mmengine - INFO - Epoch(train) [123][50/63] lr: 1.0000e-04 eta: 1 day, 9:19:33 time: 1.9076 data_time: 0.1415 memory: 28971 loss_text: 0.1306 loss_kernel: 0.0590 loss: 0.1897 2022/08/26 07:34:32 - mmengine - INFO - Epoch(train) [123][55/63] lr: 1.0000e-04 eta: 1 day, 9:19:33 time: 1.9155 data_time: 0.1330 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0665 loss: 0.2156 2022/08/26 07:34:37 - mmengine - INFO - Epoch(train) [123][60/63] lr: 1.0000e-04 eta: 1 day, 9:17:37 time: 2.0343 data_time: 0.1231 memory: 28971 loss_text: 0.1441 loss_kernel: 0.0673 loss: 0.2114 2022/08/26 07:34:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:36:33 - mmengine - INFO - Epoch(train) [124][5/63] lr: 1.0000e-04 eta: 1 day, 9:17:37 time: 11.7155 data_time: 9.0128 memory: 28971 loss_text: 0.1522 loss_kernel: 0.0709 loss: 0.2231 2022/08/26 07:36:44 - mmengine - INFO - Epoch(train) [124][10/63] lr: 1.0000e-04 eta: 1 day, 9:20:40 time: 11.2355 data_time: 9.1343 memory: 28971 loss_text: 0.1564 loss_kernel: 0.0705 loss: 0.2270 2022/08/26 07:36:57 - mmengine - INFO - Epoch(train) [124][15/63] lr: 1.0000e-04 eta: 1 day, 9:20:40 time: 2.4038 data_time: 0.2019 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0685 loss: 0.2215 2022/08/26 07:37:16 - mmengine - INFO - Epoch(train) [124][20/63] lr: 1.0000e-04 eta: 1 day, 9:19:23 time: 3.0514 data_time: 0.1622 memory: 28971 loss_text: 0.1567 loss_kernel: 0.0719 loss: 0.2286 2022/08/26 07:37:30 - mmengine - INFO - Epoch(train) [124][25/63] lr: 1.0000e-04 eta: 1 day, 9:19:23 time: 3.2925 data_time: 0.3085 memory: 28971 loss_text: 0.1620 loss_kernel: 0.0737 loss: 0.2358 2022/08/26 07:37:36 - mmengine - INFO - Epoch(train) [124][30/63] lr: 1.0000e-04 eta: 1 day, 9:17:32 time: 2.1603 data_time: 0.2511 memory: 28971 loss_text: 0.1658 loss_kernel: 0.0748 loss: 0.2406 2022/08/26 07:37:52 - mmengine - INFO - Epoch(train) [124][35/63] lr: 1.0000e-04 eta: 1 day, 9:17:32 time: 2.2531 data_time: 0.0612 memory: 28971 loss_text: 0.1784 loss_kernel: 0.0777 loss: 0.2561 2022/08/26 07:38:14 - mmengine - INFO - Epoch(train) [124][40/63] lr: 1.0000e-04 eta: 1 day, 9:16:42 time: 3.7254 data_time: 0.1129 memory: 28971 loss_text: 0.1576 loss_kernel: 0.0699 loss: 0.2275 2022/08/26 07:38:29 - mmengine - INFO - Epoch(train) [124][45/63] lr: 1.0000e-04 eta: 1 day, 9:16:42 time: 3.6423 data_time: 0.2324 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0590 loss: 0.1862 2022/08/26 07:38:44 - mmengine - INFO - Epoch(train) [124][50/63] lr: 1.0000e-04 eta: 1 day, 9:15:27 time: 3.0631 data_time: 0.2854 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0601 loss: 0.1894 2022/08/26 07:39:09 - mmengine - INFO - Epoch(train) [124][55/63] lr: 1.0000e-04 eta: 1 day, 9:15:27 time: 4.0053 data_time: 0.3537 memory: 28971 loss_text: 0.1770 loss_kernel: 0.0819 loss: 0.2589 2022/08/26 07:39:18 - mmengine - INFO - Epoch(train) [124][60/63] lr: 1.0000e-04 eta: 1 day, 9:14:24 time: 3.3915 data_time: 0.4416 memory: 28971 loss_text: 0.1986 loss_kernel: 0.0892 loss: 0.2878 2022/08/26 07:39:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:41:23 - mmengine - INFO - Epoch(train) [125][5/63] lr: 1.0000e-04 eta: 1 day, 9:14:24 time: 12.5909 data_time: 9.5965 memory: 28971 loss_text: 0.1632 loss_kernel: 0.0714 loss: 0.2346 2022/08/26 07:41:28 - mmengine - INFO - Epoch(train) [125][10/63] lr: 1.0000e-04 eta: 1 day, 9:17:27 time: 11.3311 data_time: 9.6434 memory: 28971 loss_text: 0.1726 loss_kernel: 0.0775 loss: 0.2501 2022/08/26 07:41:40 - mmengine - INFO - Epoch(train) [125][15/63] lr: 1.0000e-04 eta: 1 day, 9:17:27 time: 1.7640 data_time: 0.1103 memory: 28971 loss_text: 0.1670 loss_kernel: 0.0759 loss: 0.2428 2022/08/26 07:41:45 - mmengine - INFO - Epoch(train) [125][20/63] lr: 1.0000e-04 eta: 1 day, 9:15:18 time: 1.6609 data_time: 0.0896 memory: 28971 loss_text: 0.1616 loss_kernel: 0.0736 loss: 0.2351 2022/08/26 07:42:02 - mmengine - INFO - Epoch(train) [125][25/63] lr: 1.0000e-04 eta: 1 day, 9:15:18 time: 2.1469 data_time: 0.1304 memory: 28971 loss_text: 0.1709 loss_kernel: 0.0750 loss: 0.2459 2022/08/26 07:42:16 - mmengine - INFO - Epoch(train) [125][30/63] lr: 1.0000e-04 eta: 1 day, 9:14:02 time: 3.0565 data_time: 0.1454 memory: 28971 loss_text: 0.1478 loss_kernel: 0.0656 loss: 0.2134 2022/08/26 07:42:25 - mmengine - INFO - Epoch(train) [125][35/63] lr: 1.0000e-04 eta: 1 day, 9:14:02 time: 2.3208 data_time: 0.2566 memory: 28971 loss_text: 0.1196 loss_kernel: 0.0554 loss: 0.1751 2022/08/26 07:42:42 - mmengine - INFO - Epoch(train) [125][40/63] lr: 1.0000e-04 eta: 1 day, 9:12:28 time: 2.5824 data_time: 0.2171 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0643 loss: 0.2007 2022/08/26 07:43:01 - mmengine - INFO - Epoch(train) [125][45/63] lr: 1.0000e-04 eta: 1 day, 9:12:28 time: 3.5127 data_time: 0.2429 memory: 28971 loss_text: 0.1609 loss_kernel: 0.0743 loss: 0.2351 2022/08/26 07:43:21 - mmengine - INFO - Epoch(train) [125][50/63] lr: 1.0000e-04 eta: 1 day, 9:11:44 time: 3.8648 data_time: 0.4409 memory: 28971 loss_text: 0.1591 loss_kernel: 0.0714 loss: 0.2305 2022/08/26 07:43:29 - mmengine - INFO - Epoch(train) [125][55/63] lr: 1.0000e-04 eta: 1 day, 9:11:44 time: 2.8504 data_time: 0.3896 memory: 28971 loss_text: 0.1603 loss_kernel: 0.0702 loss: 0.2305 2022/08/26 07:43:47 - mmengine - INFO - Epoch(train) [125][60/63] lr: 1.0000e-04 eta: 1 day, 9:10:14 time: 2.6778 data_time: 0.2190 memory: 28971 loss_text: 0.1428 loss_kernel: 0.0611 loss: 0.2039 2022/08/26 07:44:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:45:49 - mmengine - INFO - Epoch(train) [126][5/63] lr: 1.0000e-04 eta: 1 day, 9:10:14 time: 12.5818 data_time: 9.4955 memory: 28971 loss_text: 0.1789 loss_kernel: 0.0798 loss: 0.2588 2022/08/26 07:45:54 - mmengine - INFO - Epoch(train) [126][10/63] lr: 1.0000e-04 eta: 1 day, 9:13:01 time: 10.9758 data_time: 9.4579 memory: 28971 loss_text: 0.1871 loss_kernel: 0.0836 loss: 0.2707 2022/08/26 07:46:10 - mmengine - INFO - Epoch(train) [126][15/63] lr: 1.0000e-04 eta: 1 day, 9:13:01 time: 2.0800 data_time: 0.0959 memory: 28971 loss_text: 0.1582 loss_kernel: 0.0697 loss: 0.2279 2022/08/26 07:46:15 - mmengine - INFO - Epoch(train) [126][20/63] lr: 1.0000e-04 eta: 1 day, 9:11:09 time: 2.0880 data_time: 0.1146 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0685 loss: 0.2215 2022/08/26 07:46:26 - mmengine - INFO - Epoch(train) [126][25/63] lr: 1.0000e-04 eta: 1 day, 9:11:09 time: 1.6103 data_time: 0.0920 memory: 28971 loss_text: 0.1626 loss_kernel: 0.0746 loss: 0.2371 2022/08/26 07:46:30 - mmengine - INFO - Epoch(train) [126][30/63] lr: 1.0000e-04 eta: 1 day, 9:08:57 time: 1.5536 data_time: 0.0726 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0735 loss: 0.2343 2022/08/26 07:46:38 - mmengine - INFO - Epoch(train) [126][35/63] lr: 1.0000e-04 eta: 1 day, 9:08:57 time: 1.2657 data_time: 0.0646 memory: 28971 loss_text: 0.1801 loss_kernel: 0.0809 loss: 0.2610 2022/08/26 07:46:43 - mmengine - INFO - Epoch(train) [126][40/63] lr: 1.0000e-04 eta: 1 day, 9:06:35 time: 1.2916 data_time: 0.0583 memory: 28971 loss_text: 0.1880 loss_kernel: 0.0839 loss: 0.2719 2022/08/26 07:46:48 - mmengine - INFO - Epoch(train) [126][45/63] lr: 1.0000e-04 eta: 1 day, 9:06:35 time: 0.9938 data_time: 0.0496 memory: 28971 loss_text: 0.1507 loss_kernel: 0.0666 loss: 0.2173 2022/08/26 07:46:54 - mmengine - INFO - Epoch(train) [126][50/63] lr: 1.0000e-04 eta: 1 day, 9:04:08 time: 1.1426 data_time: 0.0463 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0582 loss: 0.1871 2022/08/26 07:47:00 - mmengine - INFO - Epoch(train) [126][55/63] lr: 1.0000e-04 eta: 1 day, 9:04:08 time: 1.2023 data_time: 0.0474 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0676 loss: 0.2170 2022/08/26 07:47:05 - mmengine - INFO - Epoch(train) [126][60/63] lr: 1.0000e-04 eta: 1 day, 9:01:38 time: 1.0677 data_time: 0.0540 memory: 28971 loss_text: 0.1669 loss_kernel: 0.0734 loss: 0.2403 2022/08/26 07:47:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:48:46 - mmengine - INFO - Epoch(train) [127][5/63] lr: 1.0000e-04 eta: 1 day, 9:01:38 time: 10.2343 data_time: 8.7564 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0665 loss: 0.2133 2022/08/26 07:48:50 - mmengine - INFO - Epoch(train) [127][10/63] lr: 1.0000e-04 eta: 1 day, 9:03:55 time: 10.2028 data_time: 8.7607 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0626 loss: 0.2034 2022/08/26 07:48:58 - mmengine - INFO - Epoch(train) [127][15/63] lr: 1.0000e-04 eta: 1 day, 9:03:55 time: 1.2838 data_time: 0.0401 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0557 loss: 0.1778 2022/08/26 07:49:03 - mmengine - INFO - Epoch(train) [127][20/63] lr: 1.0000e-04 eta: 1 day, 9:01:35 time: 1.3190 data_time: 0.0630 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0681 loss: 0.2150 2022/08/26 07:49:09 - mmengine - INFO - Epoch(train) [127][25/63] lr: 1.0000e-04 eta: 1 day, 9:01:35 time: 1.0188 data_time: 0.0546 memory: 28971 loss_text: 0.1693 loss_kernel: 0.0773 loss: 0.2467 2022/08/26 07:49:16 - mmengine - INFO - Epoch(train) [127][30/63] lr: 1.0000e-04 eta: 1 day, 8:59:15 time: 1.2935 data_time: 0.0405 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0711 loss: 0.2298 2022/08/26 07:49:21 - mmengine - INFO - Epoch(train) [127][35/63] lr: 1.0000e-04 eta: 1 day, 8:59:15 time: 1.2619 data_time: 0.0664 memory: 28971 loss_text: 0.1563 loss_kernel: 0.0712 loss: 0.2275 2022/08/26 07:49:26 - mmengine - INFO - Epoch(train) [127][40/63] lr: 1.0000e-04 eta: 1 day, 8:56:42 time: 0.9501 data_time: 0.0559 memory: 28971 loss_text: 0.1303 loss_kernel: 0.0616 loss: 0.1919 2022/08/26 07:49:35 - mmengine - INFO - Epoch(train) [127][45/63] lr: 1.0000e-04 eta: 1 day, 8:56:42 time: 1.3375 data_time: 0.0512 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0590 loss: 0.1848 2022/08/26 07:49:39 - mmengine - INFO - Epoch(train) [127][50/63] lr: 1.0000e-04 eta: 1 day, 8:54:24 time: 1.3460 data_time: 0.0596 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0682 loss: 0.2157 2022/08/26 07:49:44 - mmengine - INFO - Epoch(train) [127][55/63] lr: 1.0000e-04 eta: 1 day, 8:54:24 time: 0.8993 data_time: 0.0410 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0676 loss: 0.2164 2022/08/26 07:49:53 - mmengine - INFO - Epoch(train) [127][60/63] lr: 1.0000e-04 eta: 1 day, 8:52:07 time: 1.3679 data_time: 0.0328 memory: 28971 loss_text: 0.1638 loss_kernel: 0.0739 loss: 0.2377 2022/08/26 07:49:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:49:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:51:43 - mmengine - INFO - Epoch(train) [128][5/63] lr: 1.0000e-04 eta: 1 day, 8:52:07 time: 11.5769 data_time: 9.4271 memory: 28971 loss_text: 0.1698 loss_kernel: 0.0759 loss: 0.2457 2022/08/26 07:51:49 - mmengine - INFO - Epoch(train) [128][10/63] lr: 1.0000e-04 eta: 1 day, 8:54:58 time: 11.1411 data_time: 9.4426 memory: 28971 loss_text: 0.1809 loss_kernel: 0.0811 loss: 0.2620 2022/08/26 07:52:06 - mmengine - INFO - Epoch(train) [128][15/63] lr: 1.0000e-04 eta: 1 day, 8:54:58 time: 2.2588 data_time: 0.1074 memory: 28971 loss_text: 0.1720 loss_kernel: 0.0782 loss: 0.2502 2022/08/26 07:52:11 - mmengine - INFO - Epoch(train) [128][20/63] lr: 1.0000e-04 eta: 1 day, 8:53:12 time: 2.2108 data_time: 0.1475 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0669 loss: 0.2128 2022/08/26 07:52:28 - mmengine - INFO - Epoch(train) [128][25/63] lr: 1.0000e-04 eta: 1 day, 8:53:12 time: 2.2800 data_time: 0.1861 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0571 loss: 0.1786 2022/08/26 07:52:33 - mmengine - INFO - Epoch(train) [128][30/63] lr: 1.0000e-04 eta: 1 day, 8:51:27 time: 2.2079 data_time: 0.1574 memory: 28971 loss_text: 0.1616 loss_kernel: 0.0748 loss: 0.2365 2022/08/26 07:52:50 - mmengine - INFO - Epoch(train) [128][35/63] lr: 1.0000e-04 eta: 1 day, 8:51:27 time: 2.1093 data_time: 0.1261 memory: 28971 loss_text: 0.1771 loss_kernel: 0.0806 loss: 0.2577 2022/08/26 07:52:54 - mmengine - INFO - Epoch(train) [128][40/63] lr: 1.0000e-04 eta: 1 day, 8:49:38 time: 2.1134 data_time: 0.1232 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0704 loss: 0.2284 2022/08/26 07:53:08 - mmengine - INFO - Epoch(train) [128][45/63] lr: 1.0000e-04 eta: 1 day, 8:49:38 time: 1.9153 data_time: 0.1773 memory: 28971 loss_text: 0.1562 loss_kernel: 0.0703 loss: 0.2265 2022/08/26 07:53:13 - mmengine - INFO - Epoch(train) [128][50/63] lr: 1.0000e-04 eta: 1 day, 8:47:43 time: 1.9381 data_time: 0.1520 memory: 28971 loss_text: 0.1699 loss_kernel: 0.0759 loss: 0.2458 2022/08/26 07:53:29 - mmengine - INFO - Epoch(train) [128][55/63] lr: 1.0000e-04 eta: 1 day, 8:47:43 time: 2.0440 data_time: 0.0627 memory: 28971 loss_text: 0.1512 loss_kernel: 0.0678 loss: 0.2189 2022/08/26 07:53:39 - mmengine - INFO - Epoch(train) [128][60/63] lr: 1.0000e-04 eta: 1 day, 8:46:12 time: 2.5623 data_time: 0.1311 memory: 28971 loss_text: 0.1541 loss_kernel: 0.0698 loss: 0.2239 2022/08/26 07:53:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:55:38 - mmengine - INFO - Epoch(train) [129][5/63] lr: 1.0000e-04 eta: 1 day, 8:46:12 time: 12.3797 data_time: 9.5417 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0657 loss: 0.2058 2022/08/26 07:55:43 - mmengine - INFO - Epoch(train) [129][10/63] lr: 1.0000e-04 eta: 1 day, 8:49:01 time: 11.1394 data_time: 9.5856 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0694 loss: 0.2192 2022/08/26 07:55:58 - mmengine - INFO - Epoch(train) [129][15/63] lr: 1.0000e-04 eta: 1 day, 8:49:01 time: 1.9629 data_time: 0.1636 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0731 loss: 0.2342 2022/08/26 07:56:03 - mmengine - INFO - Epoch(train) [129][20/63] lr: 1.0000e-04 eta: 1 day, 8:47:04 time: 1.8893 data_time: 0.1528 memory: 28971 loss_text: 0.1816 loss_kernel: 0.0813 loss: 0.2629 2022/08/26 07:56:17 - mmengine - INFO - Epoch(train) [129][25/63] lr: 1.0000e-04 eta: 1 day, 8:47:04 time: 1.9303 data_time: 0.1608 memory: 28971 loss_text: 0.1894 loss_kernel: 0.0855 loss: 0.2749 2022/08/26 07:56:21 - mmengine - INFO - Epoch(train) [129][30/63] lr: 1.0000e-04 eta: 1 day, 8:45:09 time: 1.9094 data_time: 0.1430 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0752 loss: 0.2401 2022/08/26 07:56:37 - mmengine - INFO - Epoch(train) [129][35/63] lr: 1.0000e-04 eta: 1 day, 8:45:09 time: 2.0161 data_time: 0.0554 memory: 28971 loss_text: 0.1651 loss_kernel: 0.0744 loss: 0.2395 2022/08/26 07:56:42 - mmengine - INFO - Epoch(train) [129][40/63] lr: 1.0000e-04 eta: 1 day, 8:43:18 time: 2.0360 data_time: 0.0614 memory: 28971 loss_text: 0.1538 loss_kernel: 0.0701 loss: 0.2239 2022/08/26 07:56:58 - mmengine - INFO - Epoch(train) [129][45/63] lr: 1.0000e-04 eta: 1 day, 8:43:18 time: 2.0629 data_time: 0.0928 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0627 loss: 0.1984 2022/08/26 07:57:03 - mmengine - INFO - Epoch(train) [129][50/63] lr: 1.0000e-04 eta: 1 day, 8:41:31 time: 2.1157 data_time: 0.1182 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0562 loss: 0.1776 2022/08/26 07:57:17 - mmengine - INFO - Epoch(train) [129][55/63] lr: 1.0000e-04 eta: 1 day, 8:41:31 time: 1.9064 data_time: 0.1836 memory: 28971 loss_text: 0.1196 loss_kernel: 0.0555 loss: 0.1751 2022/08/26 07:57:22 - mmengine - INFO - Epoch(train) [129][60/63] lr: 1.0000e-04 eta: 1 day, 8:39:36 time: 1.8986 data_time: 0.2233 memory: 28971 loss_text: 0.1448 loss_kernel: 0.0669 loss: 0.2117 2022/08/26 07:57:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 07:59:13 - mmengine - INFO - Epoch(train) [130][5/63] lr: 1.0000e-04 eta: 1 day, 8:39:36 time: 11.2154 data_time: 9.6138 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0689 loss: 0.2185 2022/08/26 07:59:18 - mmengine - INFO - Epoch(train) [130][10/63] lr: 1.0000e-04 eta: 1 day, 8:42:29 time: 11.3063 data_time: 9.6816 memory: 28971 loss_text: 0.1478 loss_kernel: 0.0686 loss: 0.2164 2022/08/26 07:59:34 - mmengine - INFO - Epoch(train) [130][15/63] lr: 1.0000e-04 eta: 1 day, 8:42:29 time: 2.1370 data_time: 0.1298 memory: 28971 loss_text: 0.1395 loss_kernel: 0.0653 loss: 0.2048 2022/08/26 07:59:44 - mmengine - INFO - Epoch(train) [130][20/63] lr: 1.0000e-04 eta: 1 day, 8:40:58 time: 2.5831 data_time: 0.1337 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0660 loss: 0.2105 2022/08/26 07:59:58 - mmengine - INFO - Epoch(train) [130][25/63] lr: 1.0000e-04 eta: 1 day, 8:40:58 time: 2.3432 data_time: 0.1444 memory: 28971 loss_text: 0.1825 loss_kernel: 0.0826 loss: 0.2651 2022/08/26 08:00:16 - mmengine - INFO - Epoch(train) [130][30/63] lr: 1.0000e-04 eta: 1 day, 8:39:48 time: 3.1326 data_time: 0.1217 memory: 28971 loss_text: 0.1974 loss_kernel: 0.0895 loss: 0.2869 2022/08/26 08:00:24 - mmengine - INFO - Epoch(train) [130][35/63] lr: 1.0000e-04 eta: 1 day, 8:39:48 time: 2.6252 data_time: 0.1356 memory: 28971 loss_text: 0.1509 loss_kernel: 0.0698 loss: 0.2207 2022/08/26 08:00:34 - mmengine - INFO - Epoch(train) [130][40/63] lr: 1.0000e-04 eta: 1 day, 8:37:52 time: 1.8491 data_time: 0.1163 memory: 28971 loss_text: 0.1173 loss_kernel: 0.0546 loss: 0.1719 2022/08/26 08:00:51 - mmengine - INFO - Epoch(train) [130][45/63] lr: 1.0000e-04 eta: 1 day, 8:37:52 time: 2.7496 data_time: 0.1096 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0546 loss: 0.1757 2022/08/26 08:01:04 - mmengine - INFO - Epoch(train) [130][50/63] lr: 1.0000e-04 eta: 1 day, 8:36:38 time: 3.0214 data_time: 0.1262 memory: 28971 loss_text: 0.1425 loss_kernel: 0.0649 loss: 0.2074 2022/08/26 08:01:10 - mmengine - INFO - Epoch(train) [130][55/63] lr: 1.0000e-04 eta: 1 day, 8:36:38 time: 1.8719 data_time: 0.1171 memory: 28971 loss_text: 0.1528 loss_kernel: 0.0700 loss: 0.2228 2022/08/26 08:01:24 - mmengine - INFO - Epoch(train) [130][60/63] lr: 1.0000e-04 eta: 1 day, 8:34:45 time: 1.9278 data_time: 0.1408 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0658 loss: 0.2076 2022/08/26 08:01:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:03:18 - mmengine - INFO - Epoch(train) [131][5/63] lr: 1.0000e-04 eta: 1 day, 8:34:45 time: 11.5601 data_time: 9.5634 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0568 loss: 0.1799 2022/08/26 08:03:23 - mmengine - INFO - Epoch(train) [131][10/63] lr: 1.0000e-04 eta: 1 day, 8:37:41 time: 11.4453 data_time: 9.5510 memory: 28971 loss_text: 0.1288 loss_kernel: 0.0594 loss: 0.1882 2022/08/26 08:03:40 - mmengine - INFO - Epoch(train) [131][15/63] lr: 1.0000e-04 eta: 1 day, 8:37:41 time: 2.1698 data_time: 0.1465 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0591 loss: 0.1844 2022/08/26 08:03:54 - mmengine - INFO - Epoch(train) [131][20/63] lr: 1.0000e-04 eta: 1 day, 8:36:27 time: 3.0210 data_time: 0.1725 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0661 loss: 0.2090 2022/08/26 08:04:02 - mmengine - INFO - Epoch(train) [131][25/63] lr: 1.0000e-04 eta: 1 day, 8:36:27 time: 2.2366 data_time: 0.1910 memory: 28971 loss_text: 0.1790 loss_kernel: 0.0812 loss: 0.2602 2022/08/26 08:04:06 - mmengine - INFO - Epoch(train) [131][30/63] lr: 1.0000e-04 eta: 1 day, 8:34:11 time: 1.2909 data_time: 0.1487 memory: 28971 loss_text: 0.1718 loss_kernel: 0.0773 loss: 0.2491 2022/08/26 08:04:21 - mmengine - INFO - Epoch(train) [131][35/63] lr: 1.0000e-04 eta: 1 day, 8:34:11 time: 1.9139 data_time: 0.1428 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0683 loss: 0.2173 2022/08/26 08:04:37 - mmengine - INFO - Epoch(train) [131][40/63] lr: 1.0000e-04 eta: 1 day, 8:33:01 time: 3.1108 data_time: 0.2054 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0659 loss: 0.2058 2022/08/26 08:04:42 - mmengine - INFO - Epoch(train) [131][45/63] lr: 1.0000e-04 eta: 1 day, 8:33:01 time: 2.1626 data_time: 0.1726 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0672 loss: 0.2124 2022/08/26 08:04:58 - mmengine - INFO - Epoch(train) [131][50/63] lr: 1.0000e-04 eta: 1 day, 8:31:13 time: 2.0595 data_time: 0.1691 memory: 28971 loss_text: 0.1590 loss_kernel: 0.0714 loss: 0.2304 2022/08/26 08:05:03 - mmengine - INFO - Epoch(train) [131][55/63] lr: 1.0000e-04 eta: 1 day, 8:31:13 time: 2.0244 data_time: 0.1118 memory: 28971 loss_text: 0.1535 loss_kernel: 0.0696 loss: 0.2231 2022/08/26 08:05:21 - mmengine - INFO - Epoch(train) [131][60/63] lr: 1.0000e-04 eta: 1 day, 8:29:34 time: 2.3026 data_time: 0.0879 memory: 28971 loss_text: 0.1638 loss_kernel: 0.0743 loss: 0.2381 2022/08/26 08:05:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:07:08 - mmengine - INFO - Epoch(train) [132][5/63] lr: 1.0000e-04 eta: 1 day, 8:29:34 time: 10.8887 data_time: 9.2525 memory: 28971 loss_text: 0.1588 loss_kernel: 0.0699 loss: 0.2287 2022/08/26 08:07:13 - mmengine - INFO - Epoch(train) [132][10/63] lr: 1.0000e-04 eta: 1 day, 8:32:08 time: 10.9077 data_time: 9.2364 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0666 loss: 0.2159 2022/08/26 08:07:31 - mmengine - INFO - Epoch(train) [132][15/63] lr: 1.0000e-04 eta: 1 day, 8:32:08 time: 2.3296 data_time: 0.1079 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0642 loss: 0.2048 2022/08/26 08:07:37 - mmengine - INFO - Epoch(train) [132][20/63] lr: 1.0000e-04 eta: 1 day, 8:30:30 time: 2.3143 data_time: 0.1247 memory: 28971 loss_text: 0.1626 loss_kernel: 0.0717 loss: 0.2343 2022/08/26 08:07:53 - mmengine - INFO - Epoch(train) [132][25/63] lr: 1.0000e-04 eta: 1 day, 8:30:30 time: 2.1304 data_time: 0.1663 memory: 28971 loss_text: 0.1819 loss_kernel: 0.0801 loss: 0.2620 2022/08/26 08:07:57 - mmengine - INFO - Epoch(train) [132][30/63] lr: 1.0000e-04 eta: 1 day, 8:28:42 time: 2.0632 data_time: 0.1585 memory: 28971 loss_text: 0.1762 loss_kernel: 0.0808 loss: 0.2571 2022/08/26 08:08:11 - mmengine - INFO - Epoch(train) [132][35/63] lr: 1.0000e-04 eta: 1 day, 8:28:42 time: 1.8400 data_time: 0.0962 memory: 28971 loss_text: 0.1813 loss_kernel: 0.0824 loss: 0.2638 2022/08/26 08:08:16 - mmengine - INFO - Epoch(train) [132][40/63] lr: 1.0000e-04 eta: 1 day, 8:26:48 time: 1.8711 data_time: 0.0953 memory: 28971 loss_text: 0.1646 loss_kernel: 0.0749 loss: 0.2396 2022/08/26 08:08:29 - mmengine - INFO - Epoch(train) [132][45/63] lr: 1.0000e-04 eta: 1 day, 8:26:48 time: 1.8134 data_time: 0.0992 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0701 loss: 0.2205 2022/08/26 08:08:34 - mmengine - INFO - Epoch(train) [132][50/63] lr: 1.0000e-04 eta: 1 day, 8:24:53 time: 1.8153 data_time: 0.1083 memory: 28971 loss_text: 0.1503 loss_kernel: 0.0694 loss: 0.2197 2022/08/26 08:08:41 - mmengine - INFO - Epoch(train) [132][55/63] lr: 1.0000e-04 eta: 1 day, 8:24:53 time: 1.0440 data_time: 0.0872 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0603 loss: 0.1908 2022/08/26 08:08:53 - mmengine - INFO - Epoch(train) [132][60/63] lr: 1.0000e-04 eta: 1 day, 8:23:00 time: 1.8976 data_time: 0.2419 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0687 loss: 0.2182 2022/08/26 08:09:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:10:53 - mmengine - INFO - Epoch(train) [133][5/63] lr: 1.0000e-04 eta: 1 day, 8:23:00 time: 12.1362 data_time: 9.1626 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0675 loss: 0.2151 2022/08/26 08:10:59 - mmengine - INFO - Epoch(train) [133][10/63] lr: 1.0000e-04 eta: 1 day, 8:25:20 time: 10.5492 data_time: 9.0810 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0645 loss: 0.2006 2022/08/26 08:11:12 - mmengine - INFO - Epoch(train) [133][15/63] lr: 1.0000e-04 eta: 1 day, 8:25:20 time: 1.8214 data_time: 0.1382 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0605 loss: 0.1897 2022/08/26 08:11:16 - mmengine - INFO - Epoch(train) [133][20/63] lr: 1.0000e-04 eta: 1 day, 8:23:22 time: 1.7478 data_time: 0.1489 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0685 loss: 0.2189 2022/08/26 08:11:33 - mmengine - INFO - Epoch(train) [133][25/63] lr: 1.0000e-04 eta: 1 day, 8:23:22 time: 2.1566 data_time: 0.0911 memory: 28971 loss_text: 0.1535 loss_kernel: 0.0715 loss: 0.2250 2022/08/26 08:11:38 - mmengine - INFO - Epoch(train) [133][30/63] lr: 1.0000e-04 eta: 1 day, 8:21:41 time: 2.2196 data_time: 0.0804 memory: 28971 loss_text: 0.1499 loss_kernel: 0.0683 loss: 0.2182 2022/08/26 08:11:53 - mmengine - INFO - Epoch(train) [133][35/63] lr: 1.0000e-04 eta: 1 day, 8:21:41 time: 2.0152 data_time: 0.1397 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0726 loss: 0.2344 2022/08/26 08:11:59 - mmengine - INFO - Epoch(train) [133][40/63] lr: 1.0000e-04 eta: 1 day, 8:19:54 time: 2.0278 data_time: 0.1626 memory: 28971 loss_text: 0.1536 loss_kernel: 0.0699 loss: 0.2235 2022/08/26 08:12:15 - mmengine - INFO - Epoch(train) [133][45/63] lr: 1.0000e-04 eta: 1 day, 8:19:54 time: 2.1233 data_time: 0.0948 memory: 28971 loss_text: 0.1594 loss_kernel: 0.0721 loss: 0.2315 2022/08/26 08:12:19 - mmengine - INFO - Epoch(train) [133][50/63] lr: 1.0000e-04 eta: 1 day, 8:18:08 time: 2.0683 data_time: 0.0875 memory: 28971 loss_text: 0.1665 loss_kernel: 0.0765 loss: 0.2429 2022/08/26 08:12:33 - mmengine - INFO - Epoch(train) [133][55/63] lr: 1.0000e-04 eta: 1 day, 8:18:08 time: 1.8732 data_time: 0.1393 memory: 28971 loss_text: 0.1573 loss_kernel: 0.0726 loss: 0.2299 2022/08/26 08:12:39 - mmengine - INFO - Epoch(train) [133][60/63] lr: 1.0000e-04 eta: 1 day, 8:16:17 time: 1.9273 data_time: 0.1793 memory: 28971 loss_text: 0.1544 loss_kernel: 0.0715 loss: 0.2259 2022/08/26 08:12:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:14:33 - mmengine - INFO - Epoch(train) [134][5/63] lr: 1.0000e-04 eta: 1 day, 8:16:17 time: 11.6067 data_time: 8.9206 memory: 28971 loss_text: 0.1532 loss_kernel: 0.0705 loss: 0.2237 2022/08/26 08:14:39 - mmengine - INFO - Epoch(train) [134][10/63] lr: 1.0000e-04 eta: 1 day, 8:18:38 time: 10.6025 data_time: 8.9135 memory: 28971 loss_text: 0.1634 loss_kernel: 0.0734 loss: 0.2369 2022/08/26 08:14:57 - mmengine - INFO - Epoch(train) [134][15/63] lr: 1.0000e-04 eta: 1 day, 8:18:38 time: 2.3962 data_time: 0.0781 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0661 loss: 0.2123 2022/08/26 08:15:02 - mmengine - INFO - Epoch(train) [134][20/63] lr: 1.0000e-04 eta: 1 day, 8:17:03 time: 2.3615 data_time: 0.1013 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0695 loss: 0.2191 2022/08/26 08:15:19 - mmengine - INFO - Epoch(train) [134][25/63] lr: 1.0000e-04 eta: 1 day, 8:17:03 time: 2.2100 data_time: 0.1772 memory: 28971 loss_text: 0.1659 loss_kernel: 0.0763 loss: 0.2422 2022/08/26 08:15:24 - mmengine - INFO - Epoch(train) [134][30/63] lr: 1.0000e-04 eta: 1 day, 8:15:22 time: 2.1979 data_time: 0.1648 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0620 loss: 0.1958 2022/08/26 08:15:43 - mmengine - INFO - Epoch(train) [134][35/63] lr: 1.0000e-04 eta: 1 day, 8:15:22 time: 2.4005 data_time: 0.1210 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0581 loss: 0.1840 2022/08/26 08:15:48 - mmengine - INFO - Epoch(train) [134][40/63] lr: 1.0000e-04 eta: 1 day, 8:13:47 time: 2.3830 data_time: 0.1015 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0628 loss: 0.2000 2022/08/26 08:16:06 - mmengine - INFO - Epoch(train) [134][45/63] lr: 1.0000e-04 eta: 1 day, 8:13:47 time: 2.2098 data_time: 0.1454 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0595 loss: 0.1865 2022/08/26 08:16:11 - mmengine - INFO - Epoch(train) [134][50/63] lr: 1.0000e-04 eta: 1 day, 8:12:09 time: 2.2544 data_time: 0.1816 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0555 loss: 0.1761 2022/08/26 08:16:28 - mmengine - INFO - Epoch(train) [134][55/63] lr: 1.0000e-04 eta: 1 day, 8:12:09 time: 2.2819 data_time: 0.1996 memory: 28971 loss_text: 0.1486 loss_kernel: 0.0664 loss: 0.2150 2022/08/26 08:16:33 - mmengine - INFO - Epoch(train) [134][60/63] lr: 1.0000e-04 eta: 1 day, 8:10:30 time: 2.2377 data_time: 0.1841 memory: 28971 loss_text: 0.1781 loss_kernel: 0.0805 loss: 0.2585 2022/08/26 08:16:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:18:33 - mmengine - INFO - Epoch(train) [135][5/63] lr: 1.0000e-04 eta: 1 day, 8:10:30 time: 12.0829 data_time: 9.1598 memory: 28971 loss_text: 0.1609 loss_kernel: 0.0744 loss: 0.2353 2022/08/26 08:18:38 - mmengine - INFO - Epoch(train) [135][10/63] lr: 1.0000e-04 eta: 1 day, 8:12:56 time: 10.8122 data_time: 9.1974 memory: 28971 loss_text: 0.1547 loss_kernel: 0.0694 loss: 0.2241 2022/08/26 08:18:53 - mmengine - INFO - Epoch(train) [135][15/63] lr: 1.0000e-04 eta: 1 day, 8:12:56 time: 1.9848 data_time: 0.1959 memory: 28971 loss_text: 0.1606 loss_kernel: 0.0715 loss: 0.2321 2022/08/26 08:18:58 - mmengine - INFO - Epoch(train) [135][20/63] lr: 1.0000e-04 eta: 1 day, 8:11:08 time: 1.9779 data_time: 0.2254 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0622 loss: 0.1982 2022/08/26 08:19:14 - mmengine - INFO - Epoch(train) [135][25/63] lr: 1.0000e-04 eta: 1 day, 8:11:08 time: 2.1140 data_time: 0.1762 memory: 28971 loss_text: 0.1427 loss_kernel: 0.0659 loss: 0.2086 2022/08/26 08:19:24 - mmengine - INFO - Epoch(train) [135][30/63] lr: 1.0000e-04 eta: 1 day, 8:09:41 time: 2.5753 data_time: 0.1475 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0613 loss: 0.1952 2022/08/26 08:19:33 - mmengine - INFO - Epoch(train) [135][35/63] lr: 1.0000e-04 eta: 1 day, 8:09:41 time: 1.8755 data_time: 0.1183 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0626 loss: 0.1994 2022/08/26 08:19:41 - mmengine - INFO - Epoch(train) [135][40/63] lr: 1.0000e-04 eta: 1 day, 8:07:45 time: 1.7241 data_time: 0.1162 memory: 28971 loss_text: 0.1634 loss_kernel: 0.0733 loss: 0.2367 2022/08/26 08:19:52 - mmengine - INFO - Epoch(train) [135][45/63] lr: 1.0000e-04 eta: 1 day, 8:07:45 time: 1.9706 data_time: 0.1547 memory: 28971 loss_text: 0.1660 loss_kernel: 0.0755 loss: 0.2415 2022/08/26 08:20:07 - mmengine - INFO - Epoch(train) [135][50/63] lr: 1.0000e-04 eta: 1 day, 8:06:19 time: 2.6199 data_time: 0.2984 memory: 28971 loss_text: 0.1548 loss_kernel: 0.0706 loss: 0.2254 2022/08/26 08:20:13 - mmengine - INFO - Epoch(train) [135][55/63] lr: 1.0000e-04 eta: 1 day, 8:06:19 time: 2.0746 data_time: 0.2252 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0575 loss: 0.1854 2022/08/26 08:20:29 - mmengine - INFO - Epoch(train) [135][60/63] lr: 1.0000e-04 eta: 1 day, 8:04:40 time: 2.1873 data_time: 0.1066 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0637 loss: 0.2046 2022/08/26 08:20:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:22:13 - mmengine - INFO - Epoch(train) [136][5/63] lr: 1.0000e-04 eta: 1 day, 8:04:40 time: 10.4772 data_time: 8.9359 memory: 28971 loss_text: 0.1699 loss_kernel: 0.0787 loss: 0.2485 2022/08/26 08:22:18 - mmengine - INFO - Epoch(train) [136][10/63] lr: 1.0000e-04 eta: 1 day, 8:06:52 time: 10.4523 data_time: 8.9394 memory: 28971 loss_text: 0.1573 loss_kernel: 0.0708 loss: 0.2281 2022/08/26 08:22:34 - mmengine - INFO - Epoch(train) [136][15/63] lr: 1.0000e-04 eta: 1 day, 8:06:52 time: 2.0613 data_time: 0.1278 memory: 28971 loss_text: 0.1440 loss_kernel: 0.0648 loss: 0.2088 2022/08/26 08:22:39 - mmengine - INFO - Epoch(train) [136][20/63] lr: 1.0000e-04 eta: 1 day, 8:05:10 time: 2.1267 data_time: 0.1746 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0680 loss: 0.2173 2022/08/26 08:22:56 - mmengine - INFO - Epoch(train) [136][25/63] lr: 1.0000e-04 eta: 1 day, 8:05:10 time: 2.2552 data_time: 0.3212 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0640 loss: 0.2098 2022/08/26 08:23:11 - mmengine - INFO - Epoch(train) [136][30/63] lr: 1.0000e-04 eta: 1 day, 8:04:05 time: 3.2270 data_time: 0.3440 memory: 28971 loss_text: 0.1389 loss_kernel: 0.0612 loss: 0.2001 2022/08/26 08:23:17 - mmengine - INFO - Epoch(train) [136][35/63] lr: 1.0000e-04 eta: 1 day, 8:04:05 time: 2.0805 data_time: 0.2061 memory: 28971 loss_text: 0.1737 loss_kernel: 0.0792 loss: 0.2529 2022/08/26 08:23:33 - mmengine - INFO - Epoch(train) [136][40/63] lr: 1.0000e-04 eta: 1 day, 8:02:26 time: 2.1873 data_time: 0.1585 memory: 28971 loss_text: 0.1965 loss_kernel: 0.0901 loss: 0.2865 2022/08/26 08:23:38 - mmengine - INFO - Epoch(train) [136][45/63] lr: 1.0000e-04 eta: 1 day, 8:02:26 time: 2.1667 data_time: 0.1292 memory: 28971 loss_text: 0.1921 loss_kernel: 0.0871 loss: 0.2792 2022/08/26 08:23:53 - mmengine - INFO - Epoch(train) [136][50/63] lr: 1.0000e-04 eta: 1 day, 8:00:39 time: 1.9727 data_time: 0.1979 memory: 28971 loss_text: 0.1788 loss_kernel: 0.0796 loss: 0.2584 2022/08/26 08:23:58 - mmengine - INFO - Epoch(train) [136][55/63] lr: 1.0000e-04 eta: 1 day, 8:00:39 time: 1.9859 data_time: 0.2065 memory: 28971 loss_text: 0.1675 loss_kernel: 0.0744 loss: 0.2418 2022/08/26 08:24:14 - mmengine - INFO - Epoch(train) [136][60/63] lr: 1.0000e-04 eta: 1 day, 7:58:57 time: 2.0993 data_time: 0.2113 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0701 loss: 0.2258 2022/08/26 08:24:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:26:03 - mmengine - INFO - Epoch(train) [137][5/63] lr: 1.0000e-04 eta: 1 day, 7:58:57 time: 11.0282 data_time: 9.2979 memory: 28971 loss_text: 0.1797 loss_kernel: 0.0784 loss: 0.2581 2022/08/26 08:26:08 - mmengine - INFO - Epoch(train) [137][10/63] lr: 1.0000e-04 eta: 1 day, 8:01:24 time: 10.9536 data_time: 9.3216 memory: 28971 loss_text: 0.1500 loss_kernel: 0.0669 loss: 0.2169 2022/08/26 08:26:23 - mmengine - INFO - Epoch(train) [137][15/63] lr: 1.0000e-04 eta: 1 day, 8:01:24 time: 2.0626 data_time: 0.1257 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0676 loss: 0.2180 2022/08/26 08:26:28 - mmengine - INFO - Epoch(train) [137][20/63] lr: 1.0000e-04 eta: 1 day, 7:59:39 time: 2.0036 data_time: 0.1348 memory: 28971 loss_text: 0.1722 loss_kernel: 0.0778 loss: 0.2500 2022/08/26 08:26:43 - mmengine - INFO - Epoch(train) [137][25/63] lr: 1.0000e-04 eta: 1 day, 7:59:39 time: 2.0095 data_time: 0.1309 memory: 28971 loss_text: 0.1708 loss_kernel: 0.0759 loss: 0.2467 2022/08/26 08:26:48 - mmengine - INFO - Epoch(train) [137][30/63] lr: 1.0000e-04 eta: 1 day, 7:57:52 time: 1.9645 data_time: 0.0990 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0620 loss: 0.2010 2022/08/26 08:27:02 - mmengine - INFO - Epoch(train) [137][35/63] lr: 1.0000e-04 eta: 1 day, 7:57:52 time: 1.8492 data_time: 0.1266 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0639 loss: 0.2040 2022/08/26 08:27:06 - mmengine - INFO - Epoch(train) [137][40/63] lr: 1.0000e-04 eta: 1 day, 7:56:01 time: 1.8350 data_time: 0.1359 memory: 28971 loss_text: 0.1616 loss_kernel: 0.0735 loss: 0.2351 2022/08/26 08:27:20 - mmengine - INFO - Epoch(train) [137][45/63] lr: 1.0000e-04 eta: 1 day, 7:56:01 time: 1.8117 data_time: 0.0694 memory: 28971 loss_text: 0.1688 loss_kernel: 0.0751 loss: 0.2439 2022/08/26 08:27:25 - mmengine - INFO - Epoch(train) [137][50/63] lr: 1.0000e-04 eta: 1 day, 7:54:11 time: 1.8351 data_time: 0.0946 memory: 28971 loss_text: 0.1791 loss_kernel: 0.0807 loss: 0.2599 2022/08/26 08:27:29 - mmengine - INFO - Epoch(train) [137][55/63] lr: 1.0000e-04 eta: 1 day, 7:54:11 time: 0.9467 data_time: 0.0757 memory: 28971 loss_text: 0.1884 loss_kernel: 0.0852 loss: 0.2736 2022/08/26 08:27:44 - mmengine - INFO - Epoch(train) [137][60/63] lr: 1.0000e-04 eta: 1 day, 7:52:25 time: 1.9674 data_time: 0.1198 memory: 28971 loss_text: 0.1843 loss_kernel: 0.0832 loss: 0.2675 2022/08/26 08:27:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:29:33 - mmengine - INFO - Epoch(train) [138][5/63] lr: 1.0000e-04 eta: 1 day, 7:52:25 time: 11.1127 data_time: 9.3240 memory: 28971 loss_text: 0.1698 loss_kernel: 0.0776 loss: 0.2474 2022/08/26 08:29:39 - mmengine - INFO - Epoch(train) [138][10/63] lr: 1.0000e-04 eta: 1 day, 7:54:56 time: 11.0983 data_time: 9.3545 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0649 loss: 0.2101 2022/08/26 08:29:53 - mmengine - INFO - Epoch(train) [138][15/63] lr: 1.0000e-04 eta: 1 day, 7:54:56 time: 2.0114 data_time: 0.1131 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0660 loss: 0.2128 2022/08/26 08:29:58 - mmengine - INFO - Epoch(train) [138][20/63] lr: 1.0000e-04 eta: 1 day, 7:53:07 time: 1.8840 data_time: 0.0926 memory: 28971 loss_text: 0.1915 loss_kernel: 0.0871 loss: 0.2786 2022/08/26 08:30:15 - mmengine - INFO - Epoch(train) [138][25/63] lr: 1.0000e-04 eta: 1 day, 7:53:07 time: 2.2202 data_time: 0.1131 memory: 28971 loss_text: 0.1843 loss_kernel: 0.0837 loss: 0.2680 2022/08/26 08:30:20 - mmengine - INFO - Epoch(train) [138][30/63] lr: 1.0000e-04 eta: 1 day, 7:51:31 time: 2.2663 data_time: 0.1119 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0601 loss: 0.1930 2022/08/26 08:30:32 - mmengine - INFO - Epoch(train) [138][35/63] lr: 1.0000e-04 eta: 1 day, 7:51:31 time: 1.6584 data_time: 0.1348 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0709 loss: 0.2274 2022/08/26 08:30:38 - mmengine - INFO - Epoch(train) [138][40/63] lr: 1.0000e-04 eta: 1 day, 7:49:40 time: 1.7920 data_time: 0.1353 memory: 28971 loss_text: 0.1966 loss_kernel: 0.0878 loss: 0.2844 2022/08/26 08:30:54 - mmengine - INFO - Epoch(train) [138][45/63] lr: 1.0000e-04 eta: 1 day, 7:49:40 time: 2.2412 data_time: 0.1273 memory: 28971 loss_text: 0.1774 loss_kernel: 0.0786 loss: 0.2560 2022/08/26 08:30:59 - mmengine - INFO - Epoch(train) [138][50/63] lr: 1.0000e-04 eta: 1 day, 7:47:58 time: 2.0674 data_time: 0.1197 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0636 loss: 0.2044 2022/08/26 08:31:15 - mmengine - INFO - Epoch(train) [138][55/63] lr: 1.0000e-04 eta: 1 day, 7:47:58 time: 2.0839 data_time: 0.1223 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0650 loss: 0.2092 2022/08/26 08:31:29 - mmengine - INFO - Epoch(train) [138][60/63] lr: 1.0000e-04 eta: 1 day, 7:46:49 time: 3.0366 data_time: 0.1602 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0663 loss: 0.2158 2022/08/26 08:31:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:33:24 - mmengine - INFO - Epoch(train) [139][5/63] lr: 1.0000e-04 eta: 1 day, 7:46:49 time: 12.6075 data_time: 9.3906 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0641 loss: 0.2049 2022/08/26 08:33:30 - mmengine - INFO - Epoch(train) [139][10/63] lr: 1.0000e-04 eta: 1 day, 7:49:18 time: 11.0873 data_time: 9.2692 memory: 28971 loss_text: 0.1534 loss_kernel: 0.0690 loss: 0.2223 2022/08/26 08:33:44 - mmengine - INFO - Epoch(train) [139][15/63] lr: 1.0000e-04 eta: 1 day, 7:49:18 time: 1.9323 data_time: 0.0635 memory: 28971 loss_text: 0.1477 loss_kernel: 0.0661 loss: 0.2138 2022/08/26 08:33:50 - mmengine - INFO - Epoch(train) [139][20/63] lr: 1.0000e-04 eta: 1 day, 7:47:34 time: 2.0062 data_time: 0.0937 memory: 28971 loss_text: 0.1547 loss_kernel: 0.0687 loss: 0.2234 2022/08/26 08:34:06 - mmengine - INFO - Epoch(train) [139][25/63] lr: 1.0000e-04 eta: 1 day, 7:47:34 time: 2.2119 data_time: 0.1357 memory: 28971 loss_text: 0.1726 loss_kernel: 0.0781 loss: 0.2507 2022/08/26 08:34:18 - mmengine - INFO - Epoch(train) [139][30/63] lr: 1.0000e-04 eta: 1 day, 7:46:17 time: 2.8154 data_time: 0.0966 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0679 loss: 0.2182 2022/08/26 08:34:23 - mmengine - INFO - Epoch(train) [139][35/63] lr: 1.0000e-04 eta: 1 day, 7:46:17 time: 1.7113 data_time: 0.0839 memory: 28971 loss_text: 0.1527 loss_kernel: 0.0668 loss: 0.2195 2022/08/26 08:34:27 - mmengine - INFO - Epoch(train) [139][40/63] lr: 1.0000e-04 eta: 1 day, 7:43:56 time: 0.8928 data_time: 0.0500 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0713 loss: 0.2321 2022/08/26 08:34:36 - mmengine - INFO - Epoch(train) [139][45/63] lr: 1.0000e-04 eta: 1 day, 7:43:56 time: 1.3160 data_time: 0.0275 memory: 28971 loss_text: 0.1431 loss_kernel: 0.0636 loss: 0.2067 2022/08/26 08:34:41 - mmengine - INFO - Epoch(train) [139][50/63] lr: 1.0000e-04 eta: 1 day, 7:41:53 time: 1.4043 data_time: 0.0597 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0677 loss: 0.2227 2022/08/26 08:34:45 - mmengine - INFO - Epoch(train) [139][55/63] lr: 1.0000e-04 eta: 1 day, 7:41:53 time: 0.9386 data_time: 0.0483 memory: 28971 loss_text: 0.1589 loss_kernel: 0.0714 loss: 0.2303 2022/08/26 08:34:53 - mmengine - INFO - Epoch(train) [139][60/63] lr: 1.0000e-04 eta: 1 day, 7:39:43 time: 1.1951 data_time: 0.0273 memory: 28971 loss_text: 0.1773 loss_kernel: 0.0771 loss: 0.2544 2022/08/26 08:34:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:36:31 - mmengine - INFO - Epoch(train) [140][5/63] lr: 1.0000e-04 eta: 1 day, 7:39:43 time: 10.2289 data_time: 8.5364 memory: 28971 loss_text: 0.1690 loss_kernel: 0.0730 loss: 0.2420 2022/08/26 08:36:36 - mmengine - INFO - Epoch(train) [140][10/63] lr: 1.0000e-04 eta: 1 day, 7:41:34 time: 9.9691 data_time: 8.5454 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0586 loss: 0.1905 2022/08/26 08:36:45 - mmengine - INFO - Epoch(train) [140][15/63] lr: 1.0000e-04 eta: 1 day, 7:41:34 time: 1.3798 data_time: 0.0685 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0543 loss: 0.1778 2022/08/26 08:36:49 - mmengine - INFO - Epoch(train) [140][20/63] lr: 1.0000e-04 eta: 1 day, 7:39:29 time: 1.3547 data_time: 0.0641 memory: 28971 loss_text: 0.1729 loss_kernel: 0.0758 loss: 0.2487 2022/08/26 08:36:55 - mmengine - INFO - Epoch(train) [140][25/63] lr: 1.0000e-04 eta: 1 day, 7:39:29 time: 1.0736 data_time: 0.0381 memory: 28971 loss_text: 0.1866 loss_kernel: 0.0811 loss: 0.2677 2022/08/26 08:37:01 - mmengine - INFO - Epoch(train) [140][30/63] lr: 1.0000e-04 eta: 1 day, 7:37:18 time: 1.1481 data_time: 0.0314 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0593 loss: 0.1945 2022/08/26 08:37:07 - mmengine - INFO - Epoch(train) [140][35/63] lr: 1.0000e-04 eta: 1 day, 7:37:18 time: 1.1191 data_time: 0.0472 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0556 loss: 0.1775 2022/08/26 08:37:12 - mmengine - INFO - Epoch(train) [140][40/63] lr: 1.0000e-04 eta: 1 day, 7:35:06 time: 1.1012 data_time: 0.0510 memory: 28971 loss_text: 0.1593 loss_kernel: 0.0730 loss: 0.2323 2022/08/26 08:37:17 - mmengine - INFO - Epoch(train) [140][45/63] lr: 1.0000e-04 eta: 1 day, 7:35:06 time: 1.0384 data_time: 0.0423 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0679 loss: 0.2134 2022/08/26 08:37:22 - mmengine - INFO - Epoch(train) [140][50/63] lr: 1.0000e-04 eta: 1 day, 7:32:50 time: 0.9936 data_time: 0.0539 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0561 loss: 0.1748 2022/08/26 08:37:26 - mmengine - INFO - Epoch(train) [140][55/63] lr: 1.0000e-04 eta: 1 day, 7:32:50 time: 0.9173 data_time: 0.0498 memory: 28971 loss_text: 0.1414 loss_kernel: 0.0653 loss: 0.2067 2022/08/26 08:37:33 - mmengine - INFO - Epoch(train) [140][60/63] lr: 1.0000e-04 eta: 1 day, 7:30:39 time: 1.1106 data_time: 0.0282 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0761 loss: 0.2448 2022/08/26 08:37:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:37:37 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/26 08:39:28 - mmengine - INFO - Epoch(train) [141][5/63] lr: 1.0000e-04 eta: 1 day, 7:30:39 time: 11.1027 data_time: 9.0543 memory: 28971 loss_text: 0.1602 loss_kernel: 0.0719 loss: 0.2321 2022/08/26 08:39:34 - mmengine - INFO - Epoch(train) [141][10/63] lr: 1.0000e-04 eta: 1 day, 7:33:00 time: 10.9454 data_time: 9.0941 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0665 loss: 0.2120 2022/08/26 08:39:52 - mmengine - INFO - Epoch(train) [141][15/63] lr: 1.0000e-04 eta: 1 day, 7:33:00 time: 2.3338 data_time: 0.1393 memory: 28971 loss_text: 0.1166 loss_kernel: 0.0535 loss: 0.1701 2022/08/26 08:39:57 - mmengine - INFO - Epoch(train) [141][20/63] lr: 1.0000e-04 eta: 1 day, 7:31:28 time: 2.3218 data_time: 0.1486 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0636 loss: 0.2044 2022/08/26 08:40:13 - mmengine - INFO - Epoch(train) [141][25/63] lr: 1.0000e-04 eta: 1 day, 7:31:28 time: 2.1690 data_time: 0.1566 memory: 28971 loss_text: 0.1859 loss_kernel: 0.0836 loss: 0.2695 2022/08/26 08:40:18 - mmengine - INFO - Epoch(train) [141][30/63] lr: 1.0000e-04 eta: 1 day, 7:29:50 time: 2.0922 data_time: 0.1146 memory: 28971 loss_text: 0.1716 loss_kernel: 0.0781 loss: 0.2497 2022/08/26 08:40:38 - mmengine - INFO - Epoch(train) [141][35/63] lr: 1.0000e-04 eta: 1 day, 7:29:50 time: 2.4562 data_time: 0.1319 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0658 loss: 0.2046 2022/08/26 08:40:42 - mmengine - INFO - Epoch(train) [141][40/63] lr: 1.0000e-04 eta: 1 day, 7:28:23 time: 2.4773 data_time: 0.1099 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0589 loss: 0.1842 2022/08/26 08:40:56 - mmengine - INFO - Epoch(train) [141][45/63] lr: 1.0000e-04 eta: 1 day, 7:28:23 time: 1.8535 data_time: 0.0557 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0550 loss: 0.1766 2022/08/26 08:41:02 - mmengine - INFO - Epoch(train) [141][50/63] lr: 1.0000e-04 eta: 1 day, 7:26:39 time: 1.9236 data_time: 0.0966 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0624 loss: 0.2016 2022/08/26 08:41:19 - mmengine - INFO - Epoch(train) [141][55/63] lr: 1.0000e-04 eta: 1 day, 7:26:39 time: 2.2208 data_time: 0.0971 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0657 loss: 0.2116 2022/08/26 08:41:28 - mmengine - INFO - Epoch(train) [141][60/63] lr: 1.0000e-04 eta: 1 day, 7:25:19 time: 2.6363 data_time: 0.1190 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0582 loss: 0.1843 2022/08/26 08:41:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:43:13 - mmengine - INFO - Epoch(train) [142][5/63] lr: 1.0000e-04 eta: 1 day, 7:25:19 time: 10.9712 data_time: 9.0543 memory: 28971 loss_text: 0.1617 loss_kernel: 0.0744 loss: 0.2361 2022/08/26 08:43:20 - mmengine - INFO - Epoch(train) [142][10/63] lr: 1.0000e-04 eta: 1 day, 7:27:37 time: 10.9222 data_time: 9.1318 memory: 28971 loss_text: 0.1624 loss_kernel: 0.0735 loss: 0.2359 2022/08/26 08:43:37 - mmengine - INFO - Epoch(train) [142][15/63] lr: 1.0000e-04 eta: 1 day, 7:27:37 time: 2.3503 data_time: 0.1726 memory: 28971 loss_text: 0.1556 loss_kernel: 0.0704 loss: 0.2260 2022/08/26 08:43:54 - mmengine - INFO - Epoch(train) [142][20/63] lr: 1.0000e-04 eta: 1 day, 7:26:39 time: 3.3215 data_time: 0.2128 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0672 loss: 0.2141 2022/08/26 08:43:58 - mmengine - INFO - Epoch(train) [142][25/63] lr: 1.0000e-04 eta: 1 day, 7:26:39 time: 2.1635 data_time: 0.1644 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0657 loss: 0.2132 2022/08/26 08:44:14 - mmengine - INFO - Epoch(train) [142][30/63] lr: 1.0000e-04 eta: 1 day, 7:24:57 time: 1.9960 data_time: 0.1443 memory: 28971 loss_text: 0.1447 loss_kernel: 0.0653 loss: 0.2100 2022/08/26 08:44:35 - mmengine - INFO - Epoch(train) [142][35/63] lr: 1.0000e-04 eta: 1 day, 7:24:57 time: 3.6244 data_time: 0.2350 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0621 loss: 0.1955 2022/08/26 08:44:39 - mmengine - INFO - Epoch(train) [142][40/63] lr: 1.0000e-04 eta: 1 day, 7:23:35 time: 2.5692 data_time: 0.1769 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0666 loss: 0.2133 2022/08/26 08:45:01 - mmengine - INFO - Epoch(train) [142][45/63] lr: 1.0000e-04 eta: 1 day, 7:23:35 time: 2.6595 data_time: 0.1129 memory: 28971 loss_text: 0.1486 loss_kernel: 0.0660 loss: 0.2146 2022/08/26 08:45:19 - mmengine - INFO - Epoch(train) [142][50/63] lr: 1.0000e-04 eta: 1 day, 7:22:57 time: 3.9459 data_time: 0.1977 memory: 28971 loss_text: 0.1438 loss_kernel: 0.0640 loss: 0.2079 2022/08/26 08:45:24 - mmengine - INFO - Epoch(train) [142][55/63] lr: 1.0000e-04 eta: 1 day, 7:22:57 time: 2.2833 data_time: 0.1794 memory: 28971 loss_text: 0.1539 loss_kernel: 0.0675 loss: 0.2214 2022/08/26 08:45:42 - mmengine - INFO - Epoch(train) [142][60/63] lr: 1.0000e-04 eta: 1 day, 7:21:26 time: 2.3306 data_time: 0.1390 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0738 loss: 0.2406 2022/08/26 08:45:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:47:38 - mmengine - INFO - Epoch(train) [143][5/63] lr: 1.0000e-04 eta: 1 day, 7:21:26 time: 11.6869 data_time: 9.2109 memory: 28971 loss_text: 0.1561 loss_kernel: 0.0721 loss: 0.2282 2022/08/26 08:47:43 - mmengine - INFO - Epoch(train) [143][10/63] lr: 1.0000e-04 eta: 1 day, 7:23:41 time: 10.8383 data_time: 9.2062 memory: 28971 loss_text: 0.1697 loss_kernel: 0.0747 loss: 0.2443 2022/08/26 08:47:57 - mmengine - INFO - Epoch(train) [143][15/63] lr: 1.0000e-04 eta: 1 day, 7:23:41 time: 1.9058 data_time: 0.0950 memory: 28971 loss_text: 0.1703 loss_kernel: 0.0751 loss: 0.2454 2022/08/26 08:48:02 - mmengine - INFO - Epoch(train) [143][20/63] lr: 1.0000e-04 eta: 1 day, 7:21:57 time: 1.9047 data_time: 0.1805 memory: 28971 loss_text: 0.1643 loss_kernel: 0.0758 loss: 0.2401 2022/08/26 08:48:17 - mmengine - INFO - Epoch(train) [143][25/63] lr: 1.0000e-04 eta: 1 day, 7:21:57 time: 2.0207 data_time: 0.2557 memory: 28971 loss_text: 0.1949 loss_kernel: 0.0883 loss: 0.2832 2022/08/26 08:48:22 - mmengine - INFO - Epoch(train) [143][30/63] lr: 1.0000e-04 eta: 1 day, 7:20:14 time: 1.9454 data_time: 0.1773 memory: 28971 loss_text: 0.1983 loss_kernel: 0.0894 loss: 0.2877 2022/08/26 08:48:37 - mmengine - INFO - Epoch(train) [143][35/63] lr: 1.0000e-04 eta: 1 day, 7:20:14 time: 1.9628 data_time: 0.1024 memory: 28971 loss_text: 0.1574 loss_kernel: 0.0724 loss: 0.2298 2022/08/26 08:48:42 - mmengine - INFO - Epoch(train) [143][40/63] lr: 1.0000e-04 eta: 1 day, 7:18:36 time: 2.0718 data_time: 0.1471 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0658 loss: 0.2065 2022/08/26 08:48:58 - mmengine - INFO - Epoch(train) [143][45/63] lr: 1.0000e-04 eta: 1 day, 7:18:36 time: 2.1133 data_time: 0.1545 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0666 loss: 0.2073 2022/08/26 08:49:02 - mmengine - INFO - Epoch(train) [143][50/63] lr: 1.0000e-04 eta: 1 day, 7:16:56 time: 2.0146 data_time: 0.1072 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0591 loss: 0.1841 2022/08/26 08:49:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:49:17 - mmengine - INFO - Epoch(train) [143][55/63] lr: 1.0000e-04 eta: 1 day, 7:16:56 time: 1.9025 data_time: 0.1366 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0564 loss: 0.1782 2022/08/26 08:49:22 - mmengine - INFO - Epoch(train) [143][60/63] lr: 1.0000e-04 eta: 1 day, 7:15:14 time: 1.9224 data_time: 0.1509 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0627 loss: 0.2009 2022/08/26 08:49:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:51:23 - mmengine - INFO - Epoch(train) [144][5/63] lr: 1.0000e-04 eta: 1 day, 7:15:14 time: 12.2435 data_time: 8.7874 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0615 loss: 0.1995 2022/08/26 08:51:28 - mmengine - INFO - Epoch(train) [144][10/63] lr: 1.0000e-04 eta: 1 day, 7:17:27 time: 10.8554 data_time: 8.8470 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0574 loss: 0.1821 2022/08/26 08:51:43 - mmengine - INFO - Epoch(train) [144][15/63] lr: 1.0000e-04 eta: 1 day, 7:17:27 time: 2.0160 data_time: 0.1113 memory: 28971 loss_text: 0.1238 loss_kernel: 0.0586 loss: 0.1825 2022/08/26 08:51:47 - mmengine - INFO - Epoch(train) [144][20/63] lr: 1.0000e-04 eta: 1 day, 7:15:46 time: 1.9597 data_time: 0.1063 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0662 loss: 0.2085 2022/08/26 08:52:04 - mmengine - INFO - Epoch(train) [144][25/63] lr: 1.0000e-04 eta: 1 day, 7:15:46 time: 2.1197 data_time: 0.1313 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0678 loss: 0.2121 2022/08/26 08:52:09 - mmengine - INFO - Epoch(train) [144][30/63] lr: 1.0000e-04 eta: 1 day, 7:14:09 time: 2.1062 data_time: 0.1049 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0635 loss: 0.1998 2022/08/26 08:52:25 - mmengine - INFO - Epoch(train) [144][35/63] lr: 1.0000e-04 eta: 1 day, 7:14:09 time: 2.0479 data_time: 0.1273 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0663 loss: 0.2108 2022/08/26 08:52:29 - mmengine - INFO - Epoch(train) [144][40/63] lr: 1.0000e-04 eta: 1 day, 7:12:30 time: 2.0311 data_time: 0.1215 memory: 28971 loss_text: 0.1706 loss_kernel: 0.0776 loss: 0.2482 2022/08/26 08:52:43 - mmengine - INFO - Epoch(train) [144][45/63] lr: 1.0000e-04 eta: 1 day, 7:12:30 time: 1.8985 data_time: 0.1231 memory: 28971 loss_text: 0.1975 loss_kernel: 0.0892 loss: 0.2866 2022/08/26 08:52:48 - mmengine - INFO - Epoch(train) [144][50/63] lr: 1.0000e-04 eta: 1 day, 7:10:49 time: 1.9287 data_time: 0.1488 memory: 28971 loss_text: 0.1690 loss_kernel: 0.0759 loss: 0.2448 2022/08/26 08:53:06 - mmengine - INFO - Epoch(train) [144][55/63] lr: 1.0000e-04 eta: 1 day, 7:10:49 time: 2.2273 data_time: 0.0624 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0683 loss: 0.2187 2022/08/26 08:53:11 - mmengine - INFO - Epoch(train) [144][60/63] lr: 1.0000e-04 eta: 1 day, 7:09:19 time: 2.3150 data_time: 0.1523 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0683 loss: 0.2178 2022/08/26 08:53:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:55:10 - mmengine - INFO - Epoch(train) [145][5/63] lr: 1.0000e-04 eta: 1 day, 7:09:19 time: 12.0155 data_time: 9.0966 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0638 loss: 0.2004 2022/08/26 08:55:16 - mmengine - INFO - Epoch(train) [145][10/63] lr: 1.0000e-04 eta: 1 day, 7:11:27 time: 10.7360 data_time: 9.1463 memory: 28971 loss_text: 0.1302 loss_kernel: 0.0615 loss: 0.1918 2022/08/26 08:55:33 - mmengine - INFO - Epoch(train) [145][15/63] lr: 1.0000e-04 eta: 1 day, 7:11:27 time: 2.2734 data_time: 0.1251 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0642 loss: 0.2029 2022/08/26 08:55:39 - mmengine - INFO - Epoch(train) [145][20/63] lr: 1.0000e-04 eta: 1 day, 7:09:57 time: 2.2849 data_time: 0.1533 memory: 28971 loss_text: 0.1188 loss_kernel: 0.0560 loss: 0.1747 2022/08/26 08:55:57 - mmengine - INFO - Epoch(train) [145][25/63] lr: 1.0000e-04 eta: 1 day, 7:09:57 time: 2.4229 data_time: 0.1981 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0639 loss: 0.2020 2022/08/26 08:56:02 - mmengine - INFO - Epoch(train) [145][30/63] lr: 1.0000e-04 eta: 1 day, 7:08:29 time: 2.3431 data_time: 0.1457 memory: 28971 loss_text: 0.1703 loss_kernel: 0.0782 loss: 0.2485 2022/08/26 08:56:18 - mmengine - INFO - Epoch(train) [145][35/63] lr: 1.0000e-04 eta: 1 day, 7:08:29 time: 2.0281 data_time: 0.1189 memory: 28971 loss_text: 0.1582 loss_kernel: 0.0730 loss: 0.2312 2022/08/26 08:56:32 - mmengine - INFO - Epoch(train) [145][40/63] lr: 1.0000e-04 eta: 1 day, 7:07:17 time: 2.8804 data_time: 0.1217 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0646 loss: 0.2065 2022/08/26 08:56:40 - mmengine - INFO - Epoch(train) [145][45/63] lr: 1.0000e-04 eta: 1 day, 7:07:17 time: 2.2512 data_time: 0.2296 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0673 loss: 0.2172 2022/08/26 08:56:55 - mmengine - INFO - Epoch(train) [145][50/63] lr: 1.0000e-04 eta: 1 day, 7:05:50 time: 2.3805 data_time: 0.2295 memory: 28971 loss_text: 0.1821 loss_kernel: 0.0804 loss: 0.2625 2022/08/26 08:57:05 - mmengine - INFO - Epoch(train) [145][55/63] lr: 1.0000e-04 eta: 1 day, 7:05:50 time: 2.5030 data_time: 0.1934 memory: 28971 loss_text: 0.1762 loss_kernel: 0.0791 loss: 0.2553 2022/08/26 08:57:09 - mmengine - INFO - Epoch(train) [145][60/63] lr: 1.0000e-04 eta: 1 day, 7:03:55 time: 1.4721 data_time: 0.1636 memory: 28971 loss_text: 0.1556 loss_kernel: 0.0726 loss: 0.2282 2022/08/26 08:57:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 08:59:04 - mmengine - INFO - Epoch(train) [146][5/63] lr: 1.0000e-04 eta: 1 day, 7:03:55 time: 11.5763 data_time: 9.1061 memory: 28971 loss_text: 0.1995 loss_kernel: 0.0901 loss: 0.2896 2022/08/26 08:59:09 - mmengine - INFO - Epoch(train) [146][10/63] lr: 1.0000e-04 eta: 1 day, 7:05:54 time: 10.4984 data_time: 9.0450 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0661 loss: 0.2137 2022/08/26 08:59:24 - mmengine - INFO - Epoch(train) [146][15/63] lr: 1.0000e-04 eta: 1 day, 7:05:54 time: 1.9799 data_time: 0.0541 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0616 loss: 0.2022 2022/08/26 08:59:28 - mmengine - INFO - Epoch(train) [146][20/63] lr: 1.0000e-04 eta: 1 day, 7:04:14 time: 1.9585 data_time: 0.0778 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0595 loss: 0.1904 2022/08/26 08:59:45 - mmengine - INFO - Epoch(train) [146][25/63] lr: 1.0000e-04 eta: 1 day, 7:04:14 time: 2.1006 data_time: 0.1378 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0681 loss: 0.2154 2022/08/26 08:59:50 - mmengine - INFO - Epoch(train) [146][30/63] lr: 1.0000e-04 eta: 1 day, 7:02:40 time: 2.1529 data_time: 0.1437 memory: 28971 loss_text: 0.1784 loss_kernel: 0.0800 loss: 0.2584 2022/08/26 09:00:08 - mmengine - INFO - Epoch(train) [146][35/63] lr: 1.0000e-04 eta: 1 day, 7:02:40 time: 2.2782 data_time: 0.1382 memory: 28971 loss_text: 0.1645 loss_kernel: 0.0741 loss: 0.2386 2022/08/26 09:00:19 - mmengine - INFO - Epoch(train) [146][40/63] lr: 1.0000e-04 eta: 1 day, 7:01:30 time: 2.9011 data_time: 0.1246 memory: 28971 loss_text: 0.1463 loss_kernel: 0.0666 loss: 0.2128 2022/08/26 09:00:29 - mmengine - INFO - Epoch(train) [146][45/63] lr: 1.0000e-04 eta: 1 day, 7:01:30 time: 2.0983 data_time: 0.0871 memory: 28971 loss_text: 0.1322 loss_kernel: 0.0611 loss: 0.1933 2022/08/26 09:00:41 - mmengine - INFO - Epoch(train) [146][50/63] lr: 1.0000e-04 eta: 1 day, 6:59:54 time: 2.0629 data_time: 0.0638 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0628 loss: 0.1956 2022/08/26 09:00:50 - mmengine - INFO - Epoch(train) [146][55/63] lr: 1.0000e-04 eta: 1 day, 6:59:54 time: 2.1044 data_time: 0.2388 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0588 loss: 0.1827 2022/08/26 09:01:05 - mmengine - INFO - Epoch(train) [146][60/63] lr: 1.0000e-04 eta: 1 day, 6:58:31 time: 2.4881 data_time: 0.2767 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0634 loss: 0.2003 2022/08/26 09:01:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:02:56 - mmengine - INFO - Epoch(train) [147][5/63] lr: 1.0000e-04 eta: 1 day, 6:58:31 time: 12.2603 data_time: 9.4645 memory: 28971 loss_text: 0.1826 loss_kernel: 0.0825 loss: 0.2652 2022/08/26 09:03:01 - mmengine - INFO - Epoch(train) [147][10/63] lr: 1.0000e-04 eta: 1 day, 7:00:44 time: 10.9853 data_time: 9.3758 memory: 28971 loss_text: 0.1664 loss_kernel: 0.0750 loss: 0.2414 2022/08/26 09:03:15 - mmengine - INFO - Epoch(train) [147][15/63] lr: 1.0000e-04 eta: 1 day, 7:00:44 time: 1.9679 data_time: 0.1048 memory: 28971 loss_text: 0.1812 loss_kernel: 0.0814 loss: 0.2626 2022/08/26 09:03:20 - mmengine - INFO - Epoch(train) [147][20/63] lr: 1.0000e-04 eta: 1 day, 6:59:04 time: 1.9266 data_time: 0.1040 memory: 28971 loss_text: 0.2039 loss_kernel: 0.0916 loss: 0.2956 2022/08/26 09:03:36 - mmengine - INFO - Epoch(train) [147][25/63] lr: 1.0000e-04 eta: 1 day, 6:59:04 time: 2.0288 data_time: 0.1079 memory: 28971 loss_text: 0.1702 loss_kernel: 0.0770 loss: 0.2472 2022/08/26 09:03:40 - mmengine - INFO - Epoch(train) [147][30/63] lr: 1.0000e-04 eta: 1 day, 6:57:26 time: 2.0089 data_time: 0.0987 memory: 28971 loss_text: 0.1577 loss_kernel: 0.0705 loss: 0.2283 2022/08/26 09:03:56 - mmengine - INFO - Epoch(train) [147][35/63] lr: 1.0000e-04 eta: 1 day, 6:57:26 time: 2.0139 data_time: 0.0769 memory: 28971 loss_text: 0.1474 loss_kernel: 0.0654 loss: 0.2127 2022/08/26 09:04:01 - mmengine - INFO - Epoch(train) [147][40/63] lr: 1.0000e-04 eta: 1 day, 6:55:50 time: 2.0547 data_time: 0.0614 memory: 28971 loss_text: 0.1635 loss_kernel: 0.0733 loss: 0.2368 2022/08/26 09:04:14 - mmengine - INFO - Epoch(train) [147][45/63] lr: 1.0000e-04 eta: 1 day, 6:55:50 time: 1.8313 data_time: 0.0510 memory: 28971 loss_text: 0.1663 loss_kernel: 0.0755 loss: 0.2418 2022/08/26 09:04:20 - mmengine - INFO - Epoch(train) [147][50/63] lr: 1.0000e-04 eta: 1 day, 6:54:12 time: 1.9815 data_time: 0.1151 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0642 loss: 0.2050 2022/08/26 09:04:37 - mmengine - INFO - Epoch(train) [147][55/63] lr: 1.0000e-04 eta: 1 day, 6:54:12 time: 2.2748 data_time: 0.1268 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0603 loss: 0.1899 2022/08/26 09:04:42 - mmengine - INFO - Epoch(train) [147][60/63] lr: 1.0000e-04 eta: 1 day, 6:52:38 time: 2.1115 data_time: 0.0714 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0714 loss: 0.2264 2022/08/26 09:04:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:06:45 - mmengine - INFO - Epoch(train) [148][5/63] lr: 1.0000e-04 eta: 1 day, 6:52:38 time: 12.5018 data_time: 9.7203 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0553 loss: 0.1753 2022/08/26 09:06:51 - mmengine - INFO - Epoch(train) [148][10/63] lr: 1.0000e-04 eta: 1 day, 6:55:07 time: 11.5747 data_time: 9.6680 memory: 28971 loss_text: 0.1534 loss_kernel: 0.0705 loss: 0.2239 2022/08/26 09:07:06 - mmengine - INFO - Epoch(train) [148][15/63] lr: 1.0000e-04 eta: 1 day, 6:55:07 time: 2.0850 data_time: 0.1132 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0716 loss: 0.2281 2022/08/26 09:07:11 - mmengine - INFO - Epoch(train) [148][20/63] lr: 1.0000e-04 eta: 1 day, 6:53:29 time: 1.9836 data_time: 0.0988 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0580 loss: 0.1788 2022/08/26 09:07:31 - mmengine - INFO - Epoch(train) [148][25/63] lr: 1.0000e-04 eta: 1 day, 6:53:29 time: 2.4323 data_time: 0.1265 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0589 loss: 0.1859 2022/08/26 09:07:35 - mmengine - INFO - Epoch(train) [148][30/63] lr: 1.0000e-04 eta: 1 day, 6:52:05 time: 2.4071 data_time: 0.1245 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0582 loss: 0.1869 2022/08/26 09:07:56 - mmengine - INFO - Epoch(train) [148][35/63] lr: 1.0000e-04 eta: 1 day, 6:52:05 time: 2.5305 data_time: 0.1229 memory: 28971 loss_text: 0.1172 loss_kernel: 0.0550 loss: 0.1722 2022/08/26 09:08:00 - mmengine - INFO - Epoch(train) [148][40/63] lr: 1.0000e-04 eta: 1 day, 6:50:44 time: 2.5272 data_time: 0.1085 memory: 28971 loss_text: 0.1160 loss_kernel: 0.0564 loss: 0.1724 2022/08/26 09:08:17 - mmengine - INFO - Epoch(train) [148][45/63] lr: 1.0000e-04 eta: 1 day, 6:50:44 time: 2.1465 data_time: 0.1440 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0683 loss: 0.2128 2022/08/26 09:08:30 - mmengine - INFO - Epoch(train) [148][50/63] lr: 1.0000e-04 eta: 1 day, 6:49:32 time: 2.8306 data_time: 0.1551 memory: 28971 loss_text: 0.1474 loss_kernel: 0.0684 loss: 0.2157 2022/08/26 09:08:39 - mmengine - INFO - Epoch(train) [148][55/63] lr: 1.0000e-04 eta: 1 day, 6:49:32 time: 2.1574 data_time: 0.3725 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0642 loss: 0.2028 2022/08/26 09:08:59 - mmengine - INFO - Epoch(train) [148][60/63] lr: 1.0000e-04 eta: 1 day, 6:48:26 time: 3.0027 data_time: 0.3367 memory: 28971 loss_text: 0.1571 loss_kernel: 0.0730 loss: 0.2301 2022/08/26 09:09:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:11:02 - mmengine - INFO - Epoch(train) [149][5/63] lr: 1.0000e-04 eta: 1 day, 6:48:26 time: 13.8920 data_time: 10.0573 memory: 28971 loss_text: 0.1586 loss_kernel: 0.0724 loss: 0.2310 2022/08/26 09:11:24 - mmengine - INFO - Epoch(train) [149][10/63] lr: 1.0000e-04 eta: 1 day, 6:52:12 time: 14.1304 data_time: 10.1768 memory: 28971 loss_text: 0.1688 loss_kernel: 0.0772 loss: 0.2459 2022/08/26 09:11:29 - mmengine - INFO - Epoch(train) [149][15/63] lr: 1.0000e-04 eta: 1 day, 6:52:12 time: 2.7314 data_time: 0.2377 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0644 loss: 0.2029 2022/08/26 09:11:48 - mmengine - INFO - Epoch(train) [149][20/63] lr: 1.0000e-04 eta: 1 day, 6:50:48 time: 2.4198 data_time: 0.0988 memory: 28971 loss_text: 0.1028 loss_kernel: 0.0480 loss: 0.1509 2022/08/26 09:11:53 - mmengine - INFO - Epoch(train) [149][25/63] lr: 1.0000e-04 eta: 1 day, 6:50:48 time: 2.4308 data_time: 0.1167 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0525 loss: 0.1684 2022/08/26 09:12:10 - mmengine - INFO - Epoch(train) [149][30/63] lr: 1.0000e-04 eta: 1 day, 6:49:16 time: 2.1901 data_time: 0.0982 memory: 28971 loss_text: 0.1415 loss_kernel: 0.0643 loss: 0.2058 2022/08/26 09:12:15 - mmengine - INFO - Epoch(train) [149][35/63] lr: 1.0000e-04 eta: 1 day, 6:49:16 time: 2.1854 data_time: 0.0879 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0604 loss: 0.1899 2022/08/26 09:12:37 - mmengine - INFO - Epoch(train) [149][40/63] lr: 1.0000e-04 eta: 1 day, 6:47:59 time: 2.6461 data_time: 0.1350 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0635 loss: 0.2017 2022/08/26 09:12:42 - mmengine - INFO - Epoch(train) [149][45/63] lr: 1.0000e-04 eta: 1 day, 6:47:59 time: 2.7270 data_time: 0.1371 memory: 28971 loss_text: 0.1710 loss_kernel: 0.0773 loss: 0.2484 2022/08/26 09:12:59 - mmengine - INFO - Epoch(train) [149][50/63] lr: 1.0000e-04 eta: 1 day, 6:46:31 time: 2.2829 data_time: 0.1699 memory: 28971 loss_text: 0.1752 loss_kernel: 0.0797 loss: 0.2549 2022/08/26 09:13:17 - mmengine - INFO - Epoch(train) [149][55/63] lr: 1.0000e-04 eta: 1 day, 6:46:31 time: 3.4349 data_time: 0.1624 memory: 28971 loss_text: 0.1903 loss_kernel: 0.0865 loss: 0.2768 2022/08/26 09:13:38 - mmengine - INFO - Epoch(train) [149][60/63] lr: 1.0000e-04 eta: 1 day, 6:45:50 time: 3.8348 data_time: 0.2435 memory: 28971 loss_text: 0.1760 loss_kernel: 0.0802 loss: 0.2562 2022/08/26 09:13:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:15:45 - mmengine - INFO - Epoch(train) [150][5/63] lr: 1.0000e-04 eta: 1 day, 6:45:50 time: 12.9473 data_time: 9.5385 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0694 loss: 0.2212 2022/08/26 09:15:50 - mmengine - INFO - Epoch(train) [150][10/63] lr: 1.0000e-04 eta: 1 day, 6:48:05 time: 11.1845 data_time: 9.4725 memory: 28971 loss_text: 0.1610 loss_kernel: 0.0727 loss: 0.2337 2022/08/26 09:16:06 - mmengine - INFO - Epoch(train) [150][15/63] lr: 1.0000e-04 eta: 1 day, 6:48:05 time: 2.1060 data_time: 0.1792 memory: 28971 loss_text: 0.1541 loss_kernel: 0.0697 loss: 0.2239 2022/08/26 09:16:25 - mmengine - INFO - Epoch(train) [150][20/63] lr: 1.0000e-04 eta: 1 day, 6:47:11 time: 3.4105 data_time: 0.1945 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0622 loss: 0.1969 2022/08/26 09:16:29 - mmengine - INFO - Epoch(train) [150][25/63] lr: 1.0000e-04 eta: 1 day, 6:47:11 time: 2.3759 data_time: 0.1382 memory: 28971 loss_text: 0.1503 loss_kernel: 0.0662 loss: 0.2165 2022/08/26 09:16:44 - mmengine - INFO - Epoch(train) [150][30/63] lr: 1.0000e-04 eta: 1 day, 6:45:33 time: 1.9577 data_time: 0.1613 memory: 28971 loss_text: 0.1762 loss_kernel: 0.0780 loss: 0.2542 2022/08/26 09:16:49 - mmengine - INFO - Epoch(train) [150][35/63] lr: 1.0000e-04 eta: 1 day, 6:45:33 time: 1.9745 data_time: 0.1586 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0776 loss: 0.2463 2022/08/26 09:17:06 - mmengine - INFO - Epoch(train) [150][40/63] lr: 1.0000e-04 eta: 1 day, 6:44:02 time: 2.1793 data_time: 0.0776 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0747 loss: 0.2368 2022/08/26 09:17:25 - mmengine - INFO - Epoch(train) [150][45/63] lr: 1.0000e-04 eta: 1 day, 6:44:02 time: 3.5410 data_time: 0.1300 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0670 loss: 0.2122 2022/08/26 09:17:30 - mmengine - INFO - Epoch(train) [150][50/63] lr: 1.0000e-04 eta: 1 day, 6:42:38 time: 2.3848 data_time: 0.1637 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0563 loss: 0.1800 2022/08/26 09:17:49 - mmengine - INFO - Epoch(train) [150][55/63] lr: 1.0000e-04 eta: 1 day, 6:42:38 time: 2.3676 data_time: 0.1051 memory: 28971 loss_text: 0.1559 loss_kernel: 0.0694 loss: 0.2252 2022/08/26 09:18:26 - mmengine - INFO - Epoch(train) [150][60/63] lr: 1.0000e-04 eta: 1 day, 6:42:49 time: 5.5781 data_time: 0.2588 memory: 28971 loss_text: 0.1857 loss_kernel: 0.0818 loss: 0.2675 2022/08/26 09:18:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:20:22 - mmengine - INFO - Epoch(train) [151][5/63] lr: 1.0000e-04 eta: 1 day, 6:42:49 time: 13.4509 data_time: 9.8031 memory: 28971 loss_text: 0.1908 loss_kernel: 0.0831 loss: 0.2738 2022/08/26 09:20:27 - mmengine - INFO - Epoch(train) [151][10/63] lr: 1.0000e-04 eta: 1 day, 6:45:17 time: 11.7088 data_time: 9.6655 memory: 28971 loss_text: 0.1589 loss_kernel: 0.0733 loss: 0.2322 2022/08/26 09:20:47 - mmengine - INFO - Epoch(train) [151][15/63] lr: 1.0000e-04 eta: 1 day, 6:45:17 time: 2.5672 data_time: 0.0975 memory: 28971 loss_text: 0.1699 loss_kernel: 0.0767 loss: 0.2466 2022/08/26 09:20:53 - mmengine - INFO - Epoch(train) [151][20/63] lr: 1.0000e-04 eta: 1 day, 6:43:58 time: 2.5547 data_time: 0.1062 memory: 28971 loss_text: 0.1765 loss_kernel: 0.0797 loss: 0.2561 2022/08/26 09:21:08 - mmengine - INFO - Epoch(train) [151][25/63] lr: 1.0000e-04 eta: 1 day, 6:43:58 time: 2.1177 data_time: 0.1472 memory: 28971 loss_text: 0.1568 loss_kernel: 0.0715 loss: 0.2283 2022/08/26 09:21:26 - mmengine - INFO - Epoch(train) [151][30/63] lr: 1.0000e-04 eta: 1 day, 6:43:02 time: 3.3405 data_time: 0.1350 memory: 28971 loss_text: 0.1645 loss_kernel: 0.0751 loss: 0.2396 2022/08/26 09:21:33 - mmengine - INFO - Epoch(train) [151][35/63] lr: 1.0000e-04 eta: 1 day, 6:43:02 time: 2.4873 data_time: 0.2534 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0658 loss: 0.2071 2022/08/26 09:21:47 - mmengine - INFO - Epoch(train) [151][40/63] lr: 1.0000e-04 eta: 1 day, 6:41:30 time: 2.1271 data_time: 0.1990 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0603 loss: 0.1884 2022/08/26 09:21:52 - mmengine - INFO - Epoch(train) [151][45/63] lr: 1.0000e-04 eta: 1 day, 6:41:30 time: 1.8867 data_time: 0.0672 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0618 loss: 0.1900 2022/08/26 09:22:11 - mmengine - INFO - Epoch(train) [151][50/63] lr: 1.0000e-04 eta: 1 day, 6:40:05 time: 2.3750 data_time: 0.1570 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0580 loss: 0.1799 2022/08/26 09:22:31 - mmengine - INFO - Epoch(train) [151][55/63] lr: 1.0000e-04 eta: 1 day, 6:40:05 time: 3.7977 data_time: 0.2151 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0624 loss: 0.1987 2022/08/26 09:22:49 - mmengine - INFO - Epoch(train) [151][60/63] lr: 1.0000e-04 eta: 1 day, 6:39:22 time: 3.7496 data_time: 0.4009 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0638 loss: 0.2047 2022/08/26 09:22:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:24:28 - mmengine - INFO - Epoch(train) [152][5/63] lr: 1.0000e-04 eta: 1 day, 6:39:22 time: 10.5603 data_time: 8.7069 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0632 loss: 0.1983 2022/08/26 09:24:32 - mmengine - INFO - Epoch(train) [152][10/63] lr: 1.0000e-04 eta: 1 day, 6:40:58 time: 10.0133 data_time: 8.5614 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0712 loss: 0.2262 2022/08/26 09:24:39 - mmengine - INFO - Epoch(train) [152][15/63] lr: 1.0000e-04 eta: 1 day, 6:40:58 time: 1.1399 data_time: 0.0330 memory: 28971 loss_text: 0.1948 loss_kernel: 0.0846 loss: 0.2794 2022/08/26 09:24:44 - mmengine - INFO - Epoch(train) [152][20/63] lr: 1.0000e-04 eta: 1 day, 6:38:59 time: 1.2074 data_time: 0.0887 memory: 28971 loss_text: 0.1741 loss_kernel: 0.0770 loss: 0.2511 2022/08/26 09:24:50 - mmengine - INFO - Epoch(train) [152][25/63] lr: 1.0000e-04 eta: 1 day, 6:38:59 time: 1.0248 data_time: 0.0831 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0661 loss: 0.2085 2022/08/26 09:24:57 - mmengine - INFO - Epoch(train) [152][30/63] lr: 1.0000e-04 eta: 1 day, 6:37:03 time: 1.3047 data_time: 0.0440 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0682 loss: 0.2172 2022/08/26 09:25:04 - mmengine - INFO - Epoch(train) [152][35/63] lr: 1.0000e-04 eta: 1 day, 6:37:03 time: 1.4538 data_time: 0.0614 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0563 loss: 0.1763 2022/08/26 09:25:09 - mmengine - INFO - Epoch(train) [152][40/63] lr: 1.0000e-04 eta: 1 day, 6:35:01 time: 1.1145 data_time: 0.0503 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0587 loss: 0.1835 2022/08/26 09:25:17 - mmengine - INFO - Epoch(train) [152][45/63] lr: 1.0000e-04 eta: 1 day, 6:35:01 time: 1.2324 data_time: 0.0475 memory: 28971 loss_text: 0.1734 loss_kernel: 0.0784 loss: 0.2518 2022/08/26 09:25:21 - mmengine - INFO - Epoch(train) [152][50/63] lr: 1.0000e-04 eta: 1 day, 6:33:05 time: 1.2677 data_time: 0.0559 memory: 28971 loss_text: 0.1556 loss_kernel: 0.0713 loss: 0.2269 2022/08/26 09:25:26 - mmengine - INFO - Epoch(train) [152][55/63] lr: 1.0000e-04 eta: 1 day, 6:33:05 time: 0.9837 data_time: 0.0560 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0677 loss: 0.2141 2022/08/26 09:25:31 - mmengine - INFO - Epoch(train) [152][60/63] lr: 1.0000e-04 eta: 1 day, 6:30:59 time: 0.9447 data_time: 0.0406 memory: 28971 loss_text: 0.1691 loss_kernel: 0.0774 loss: 0.2465 2022/08/26 09:25:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:27:09 - mmengine - INFO - Epoch(train) [153][5/63] lr: 1.0000e-04 eta: 1 day, 6:30:59 time: 9.9671 data_time: 8.5601 memory: 28971 loss_text: 0.1691 loss_kernel: 0.0757 loss: 0.2447 2022/08/26 09:27:13 - mmengine - INFO - Epoch(train) [153][10/63] lr: 1.0000e-04 eta: 1 day, 6:32:28 time: 9.7944 data_time: 8.5674 memory: 28971 loss_text: 0.1433 loss_kernel: 0.0648 loss: 0.2081 2022/08/26 09:27:20 - mmengine - INFO - Epoch(train) [153][15/63] lr: 1.0000e-04 eta: 1 day, 6:32:28 time: 1.1412 data_time: 0.0318 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0578 loss: 0.1881 2022/08/26 09:27:25 - mmengine - INFO - Epoch(train) [153][20/63] lr: 1.0000e-04 eta: 1 day, 6:30:28 time: 1.1660 data_time: 0.0367 memory: 28971 loss_text: 0.1167 loss_kernel: 0.0517 loss: 0.1684 2022/08/26 09:27:33 - mmengine - INFO - Epoch(train) [153][25/63] lr: 1.0000e-04 eta: 1 day, 6:30:28 time: 1.2788 data_time: 0.0487 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0597 loss: 0.1875 2022/08/26 09:27:49 - mmengine - INFO - Epoch(train) [153][30/63] lr: 1.0000e-04 eta: 1 day, 6:29:04 time: 2.3422 data_time: 0.1791 memory: 28971 loss_text: 0.1630 loss_kernel: 0.0746 loss: 0.2376 2022/08/26 09:28:06 - mmengine - INFO - Epoch(train) [153][35/63] lr: 1.0000e-04 eta: 1 day, 6:29:04 time: 3.3196 data_time: 0.3343 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0760 loss: 0.2428 2022/08/26 09:28:22 - mmengine - INFO - Epoch(train) [153][40/63] lr: 1.0000e-04 eta: 1 day, 6:28:07 time: 3.2816 data_time: 0.2142 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0655 loss: 0.2056 2022/08/26 09:28:39 - mmengine - INFO - Epoch(train) [153][45/63] lr: 1.0000e-04 eta: 1 day, 6:28:07 time: 3.2596 data_time: 0.1515 memory: 28971 loss_text: 0.1086 loss_kernel: 0.0510 loss: 0.1595 2022/08/26 09:28:45 - mmengine - INFO - Epoch(train) [153][50/63] lr: 1.0000e-04 eta: 1 day, 6:26:43 time: 2.3644 data_time: 0.2430 memory: 28971 loss_text: 0.1346 loss_kernel: 0.0621 loss: 0.1967 2022/08/26 09:29:06 - mmengine - INFO - Epoch(train) [153][55/63] lr: 1.0000e-04 eta: 1 day, 6:26:43 time: 2.6686 data_time: 0.1795 memory: 28971 loss_text: 0.1603 loss_kernel: 0.0727 loss: 0.2330 2022/08/26 09:29:23 - mmengine - INFO - Epoch(train) [153][60/63] lr: 1.0000e-04 eta: 1 day, 6:26:01 time: 3.7842 data_time: 0.1377 memory: 28971 loss_text: 0.1524 loss_kernel: 0.0671 loss: 0.2195 2022/08/26 09:29:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:31:09 - mmengine - INFO - Epoch(train) [154][5/63] lr: 1.0000e-04 eta: 1 day, 6:26:01 time: 12.0030 data_time: 9.2731 memory: 28971 loss_text: 0.1857 loss_kernel: 0.0815 loss: 0.2672 2022/08/26 09:31:13 - mmengine - INFO - Epoch(train) [154][10/63] lr: 1.0000e-04 eta: 1 day, 6:27:52 time: 10.5988 data_time: 9.1633 memory: 28971 loss_text: 0.1789 loss_kernel: 0.0808 loss: 0.2597 2022/08/26 09:31:28 - mmengine - INFO - Epoch(train) [154][15/63] lr: 1.0000e-04 eta: 1 day, 6:27:52 time: 1.9118 data_time: 0.1055 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0664 loss: 0.2108 2022/08/26 09:31:33 - mmengine - INFO - Epoch(train) [154][20/63] lr: 1.0000e-04 eta: 1 day, 6:26:16 time: 1.9254 data_time: 0.1191 memory: 28971 loss_text: 0.1169 loss_kernel: 0.0539 loss: 0.1709 2022/08/26 09:31:51 - mmengine - INFO - Epoch(train) [154][25/63] lr: 1.0000e-04 eta: 1 day, 6:26:16 time: 2.2862 data_time: 0.1099 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0568 loss: 0.1824 2022/08/26 09:31:57 - mmengine - INFO - Epoch(train) [154][30/63] lr: 1.0000e-04 eta: 1 day, 6:24:55 time: 2.4383 data_time: 0.1148 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0602 loss: 0.1923 2022/08/26 09:32:18 - mmengine - INFO - Epoch(train) [154][35/63] lr: 1.0000e-04 eta: 1 day, 6:24:55 time: 2.7269 data_time: 0.2024 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0597 loss: 0.1909 2022/08/26 09:32:35 - mmengine - INFO - Epoch(train) [154][40/63] lr: 1.0000e-04 eta: 1 day, 6:24:14 time: 3.8365 data_time: 0.2602 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0671 loss: 0.2156 2022/08/26 09:32:42 - mmengine - INFO - Epoch(train) [154][45/63] lr: 1.0000e-04 eta: 1 day, 6:24:14 time: 2.4227 data_time: 0.1766 memory: 28971 loss_text: 0.1645 loss_kernel: 0.0751 loss: 0.2396 2022/08/26 09:32:59 - mmengine - INFO - Epoch(train) [154][50/63] lr: 1.0000e-04 eta: 1 day, 6:22:50 time: 2.3471 data_time: 0.1720 memory: 28971 loss_text: 0.1755 loss_kernel: 0.0798 loss: 0.2554 2022/08/26 09:33:16 - mmengine - INFO - Epoch(train) [154][55/63] lr: 1.0000e-04 eta: 1 day, 6:22:50 time: 3.3575 data_time: 0.1598 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0749 loss: 0.2421 2022/08/26 09:33:33 - mmengine - INFO - Epoch(train) [154][60/63] lr: 1.0000e-04 eta: 1 day, 6:21:55 time: 3.3200 data_time: 0.1612 memory: 28971 loss_text: 0.1764 loss_kernel: 0.0786 loss: 0.2549 2022/08/26 09:33:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:35:27 - mmengine - INFO - Epoch(train) [155][5/63] lr: 1.0000e-04 eta: 1 day, 6:21:55 time: 12.6921 data_time: 9.6405 memory: 28971 loss_text: 0.1830 loss_kernel: 0.0805 loss: 0.2635 2022/08/26 09:35:32 - mmengine - INFO - Epoch(train) [155][10/63] lr: 1.0000e-04 eta: 1 day, 6:24:03 time: 11.2324 data_time: 9.5081 memory: 28971 loss_text: 0.1747 loss_kernel: 0.0775 loss: 0.2522 2022/08/26 09:35:49 - mmengine - INFO - Epoch(train) [155][15/63] lr: 1.0000e-04 eta: 1 day, 6:24:03 time: 2.2373 data_time: 0.1356 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0680 loss: 0.2175 2022/08/26 09:36:06 - mmengine - INFO - Epoch(train) [155][20/63] lr: 1.0000e-04 eta: 1 day, 6:23:09 time: 3.3701 data_time: 0.2239 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0627 loss: 0.1990 2022/08/26 09:36:11 - mmengine - INFO - Epoch(train) [155][25/63] lr: 1.0000e-04 eta: 1 day, 6:23:09 time: 2.2432 data_time: 0.2281 memory: 28971 loss_text: 0.1613 loss_kernel: 0.0708 loss: 0.2321 2022/08/26 09:36:28 - mmengine - INFO - Epoch(train) [155][30/63] lr: 1.0000e-04 eta: 1 day, 6:21:42 time: 2.2166 data_time: 0.2162 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0663 loss: 0.2171 2022/08/26 09:36:41 - mmengine - INFO - Epoch(train) [155][35/63] lr: 1.0000e-04 eta: 1 day, 6:21:42 time: 2.9264 data_time: 0.1797 memory: 28971 loss_text: 0.1188 loss_kernel: 0.0551 loss: 0.1738 2022/08/26 09:36:50 - mmengine - INFO - Epoch(train) [155][40/63] lr: 1.0000e-04 eta: 1 day, 6:20:14 time: 2.1945 data_time: 0.2166 memory: 28971 loss_text: 0.1526 loss_kernel: 0.0695 loss: 0.2221 2022/08/26 09:37:03 - mmengine - INFO - Epoch(train) [155][45/63] lr: 1.0000e-04 eta: 1 day, 6:20:14 time: 2.2214 data_time: 0.1833 memory: 28971 loss_text: 0.1975 loss_kernel: 0.0875 loss: 0.2850 2022/08/26 09:37:10 - mmengine - INFO - Epoch(train) [155][50/63] lr: 1.0000e-04 eta: 1 day, 6:18:39 time: 1.9597 data_time: 0.1827 memory: 28971 loss_text: 0.1962 loss_kernel: 0.0870 loss: 0.2831 2022/08/26 09:37:25 - mmengine - INFO - Epoch(train) [155][55/63] lr: 1.0000e-04 eta: 1 day, 6:18:39 time: 2.2259 data_time: 0.2315 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0738 loss: 0.2346 2022/08/26 09:37:30 - mmengine - INFO - Epoch(train) [155][60/63] lr: 1.0000e-04 eta: 1 day, 6:17:08 time: 2.0629 data_time: 0.1568 memory: 28971 loss_text: 0.1590 loss_kernel: 0.0733 loss: 0.2323 2022/08/26 09:37:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:39:31 - mmengine - INFO - Epoch(train) [156][5/63] lr: 1.0000e-04 eta: 1 day, 6:17:08 time: 12.2569 data_time: 9.2618 memory: 28971 loss_text: 0.1536 loss_kernel: 0.0706 loss: 0.2243 2022/08/26 09:39:37 - mmengine - INFO - Epoch(train) [156][10/63] lr: 1.0000e-04 eta: 1 day, 6:19:04 time: 10.8816 data_time: 9.1790 memory: 28971 loss_text: 0.1656 loss_kernel: 0.0749 loss: 0.2405 2022/08/26 09:39:53 - mmengine - INFO - Epoch(train) [156][15/63] lr: 1.0000e-04 eta: 1 day, 6:19:04 time: 2.1703 data_time: 0.1857 memory: 28971 loss_text: 0.1694 loss_kernel: 0.0774 loss: 0.2468 2022/08/26 09:39:58 - mmengine - INFO - Epoch(train) [156][20/63] lr: 1.0000e-04 eta: 1 day, 6:17:36 time: 2.1617 data_time: 0.2062 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0726 loss: 0.2296 2022/08/26 09:40:14 - mmengine - INFO - Epoch(train) [156][25/63] lr: 1.0000e-04 eta: 1 day, 6:17:36 time: 2.0373 data_time: 0.1439 memory: 28971 loss_text: 0.1805 loss_kernel: 0.0800 loss: 0.2605 2022/08/26 09:40:27 - mmengine - INFO - Epoch(train) [156][30/63] lr: 1.0000e-04 eta: 1 day, 6:16:27 time: 2.8450 data_time: 0.1315 memory: 28971 loss_text: 0.1779 loss_kernel: 0.0737 loss: 0.2515 2022/08/26 09:40:45 - mmengine - INFO - Epoch(train) [156][35/63] lr: 1.0000e-04 eta: 1 day, 6:16:27 time: 3.1192 data_time: 0.1284 memory: 28971 loss_text: 0.1447 loss_kernel: 0.0620 loss: 0.2067 2022/08/26 09:40:53 - mmengine - INFO - Epoch(train) [156][40/63] lr: 1.0000e-04 eta: 1 day, 6:15:13 time: 2.6561 data_time: 0.2520 memory: 28971 loss_text: 0.1613 loss_kernel: 0.0715 loss: 0.2328 2022/08/26 09:41:12 - mmengine - INFO - Epoch(train) [156][45/63] lr: 1.0000e-04 eta: 1 day, 6:15:13 time: 2.7248 data_time: 0.2912 memory: 28971 loss_text: 0.1571 loss_kernel: 0.0703 loss: 0.2274 2022/08/26 09:41:33 - mmengine - INFO - Epoch(train) [156][50/63] lr: 1.0000e-04 eta: 1 day, 6:14:35 time: 3.9462 data_time: 0.2367 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0605 loss: 0.1873 2022/08/26 09:41:50 - mmengine - INFO - Epoch(train) [156][55/63] lr: 1.0000e-04 eta: 1 day, 6:14:35 time: 3.7648 data_time: 0.2989 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0654 loss: 0.2058 2022/08/26 09:41:55 - mmengine - INFO - Epoch(train) [156][60/63] lr: 1.0000e-04 eta: 1 day, 6:13:09 time: 2.2177 data_time: 0.2540 memory: 28971 loss_text: 0.1655 loss_kernel: 0.0749 loss: 0.2404 2022/08/26 09:41:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:43:45 - mmengine - INFO - Epoch(train) [157][5/63] lr: 1.0000e-04 eta: 1 day, 6:13:09 time: 11.1370 data_time: 9.3455 memory: 28971 loss_text: 0.1804 loss_kernel: 0.0809 loss: 0.2613 2022/08/26 09:43:50 - mmengine - INFO - Epoch(train) [157][10/63] lr: 1.0000e-04 eta: 1 day, 6:15:09 time: 11.0626 data_time: 9.3969 memory: 28971 loss_text: 0.1806 loss_kernel: 0.0786 loss: 0.2592 2022/08/26 09:44:04 - mmengine - INFO - Epoch(train) [157][15/63] lr: 1.0000e-04 eta: 1 day, 6:15:09 time: 1.9036 data_time: 0.0896 memory: 28971 loss_text: 0.1671 loss_kernel: 0.0722 loss: 0.2394 2022/08/26 09:44:09 - mmengine - INFO - Epoch(train) [157][20/63] lr: 1.0000e-04 eta: 1 day, 6:13:32 time: 1.8611 data_time: 0.0978 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0628 loss: 0.2017 2022/08/26 09:44:26 - mmengine - INFO - Epoch(train) [157][25/63] lr: 1.0000e-04 eta: 1 day, 6:13:32 time: 2.1937 data_time: 0.0871 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0617 loss: 0.2000 2022/08/26 09:44:30 - mmengine - INFO - Epoch(train) [157][30/63] lr: 1.0000e-04 eta: 1 day, 6:12:04 time: 2.1653 data_time: 0.0776 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0723 loss: 0.2364 2022/08/26 09:44:50 - mmengine - INFO - Epoch(train) [157][35/63] lr: 1.0000e-04 eta: 1 day, 6:12:04 time: 2.3886 data_time: 0.0751 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0621 loss: 0.2004 2022/08/26 09:44:54 - mmengine - INFO - Epoch(train) [157][40/63] lr: 1.0000e-04 eta: 1 day, 6:10:41 time: 2.3346 data_time: 0.0331 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0619 loss: 0.1972 2022/08/26 09:45:10 - mmengine - INFO - Epoch(train) [157][45/63] lr: 1.0000e-04 eta: 1 day, 6:10:41 time: 2.0354 data_time: 0.0588 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0611 loss: 0.1921 2022/08/26 09:45:16 - mmengine - INFO - Epoch(train) [157][50/63] lr: 1.0000e-04 eta: 1 day, 6:09:15 time: 2.2152 data_time: 0.1277 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0537 loss: 0.1710 2022/08/26 09:45:34 - mmengine - INFO - Epoch(train) [157][55/63] lr: 1.0000e-04 eta: 1 day, 6:09:15 time: 2.3409 data_time: 0.1209 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0651 loss: 0.2095 2022/08/26 09:45:41 - mmengine - INFO - Epoch(train) [157][60/63] lr: 1.0000e-04 eta: 1 day, 6:07:56 time: 2.4549 data_time: 0.1981 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0728 loss: 0.2339 2022/08/26 09:45:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:47:31 - mmengine - INFO - Epoch(train) [158][5/63] lr: 1.0000e-04 eta: 1 day, 6:07:56 time: 11.2426 data_time: 9.0353 memory: 28971 loss_text: 0.1633 loss_kernel: 0.0738 loss: 0.2371 2022/08/26 09:47:36 - mmengine - INFO - Epoch(train) [158][10/63] lr: 1.0000e-04 eta: 1 day, 6:09:50 time: 10.9080 data_time: 9.0966 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0655 loss: 0.2087 2022/08/26 09:47:50 - mmengine - INFO - Epoch(train) [158][15/63] lr: 1.0000e-04 eta: 1 day, 6:09:50 time: 1.8986 data_time: 0.0818 memory: 28971 loss_text: 0.1385 loss_kernel: 0.0643 loss: 0.2028 2022/08/26 09:47:55 - mmengine - INFO - Epoch(train) [158][20/63] lr: 1.0000e-04 eta: 1 day, 6:08:14 time: 1.8468 data_time: 0.0878 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0673 loss: 0.2123 2022/08/26 09:48:13 - mmengine - INFO - Epoch(train) [158][25/63] lr: 1.0000e-04 eta: 1 day, 6:08:14 time: 2.2484 data_time: 0.1480 memory: 28971 loss_text: 0.1449 loss_kernel: 0.0665 loss: 0.2114 2022/08/26 09:48:17 - mmengine - INFO - Epoch(train) [158][30/63] lr: 1.0000e-04 eta: 1 day, 6:06:49 time: 2.2493 data_time: 0.1361 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0677 loss: 0.2172 2022/08/26 09:48:32 - mmengine - INFO - Epoch(train) [158][35/63] lr: 1.0000e-04 eta: 1 day, 6:06:49 time: 1.9564 data_time: 0.1207 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0569 loss: 0.1756 2022/08/26 09:48:46 - mmengine - INFO - Epoch(train) [158][40/63] lr: 1.0000e-04 eta: 1 day, 6:05:41 time: 2.8461 data_time: 0.1452 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0653 loss: 0.2045 2022/08/26 09:48:57 - mmengine - INFO - Epoch(train) [158][45/63] lr: 1.0000e-04 eta: 1 day, 6:05:41 time: 2.4987 data_time: 0.1681 memory: 28971 loss_text: 0.1712 loss_kernel: 0.0764 loss: 0.2476 2022/08/26 09:49:14 - mmengine - INFO - Epoch(train) [158][50/63] lr: 1.0000e-04 eta: 1 day, 6:04:31 time: 2.7851 data_time: 0.2270 memory: 28971 loss_text: 0.1396 loss_kernel: 0.0638 loss: 0.2034 2022/08/26 09:49:19 - mmengine - INFO - Epoch(train) [158][55/63] lr: 1.0000e-04 eta: 1 day, 6:04:31 time: 2.2337 data_time: 0.2523 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0635 loss: 0.2003 2022/08/26 09:49:41 - mmengine - INFO - Epoch(train) [158][60/63] lr: 1.0000e-04 eta: 1 day, 6:03:19 time: 2.7014 data_time: 0.4115 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0609 loss: 0.1953 2022/08/26 09:49:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:51:36 - mmengine - INFO - Epoch(train) [159][5/63] lr: 1.0000e-04 eta: 1 day, 6:03:19 time: 11.9421 data_time: 9.9106 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0583 loss: 0.1910 2022/08/26 09:51:41 - mmengine - INFO - Epoch(train) [159][10/63] lr: 1.0000e-04 eta: 1 day, 6:05:29 time: 11.5052 data_time: 9.6704 memory: 28971 loss_text: 0.1700 loss_kernel: 0.0773 loss: 0.2473 2022/08/26 09:52:04 - mmengine - INFO - Epoch(train) [159][15/63] lr: 1.0000e-04 eta: 1 day, 6:05:29 time: 2.7341 data_time: 0.1878 memory: 28971 loss_text: 0.1671 loss_kernel: 0.0765 loss: 0.2435 2022/08/26 09:52:08 - mmengine - INFO - Epoch(train) [159][20/63] lr: 1.0000e-04 eta: 1 day, 6:04:16 time: 2.6747 data_time: 0.1994 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0594 loss: 0.1839 2022/08/26 09:52:29 - mmengine - INFO - Epoch(train) [159][25/63] lr: 1.0000e-04 eta: 1 day, 6:04:16 time: 2.6122 data_time: 0.1236 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0612 loss: 0.1917 2022/08/26 09:52:34 - mmengine - INFO - Epoch(train) [159][30/63] lr: 1.0000e-04 eta: 1 day, 6:03:00 time: 2.5534 data_time: 0.0817 memory: 28971 loss_text: 0.1685 loss_kernel: 0.0767 loss: 0.2452 2022/08/26 09:52:52 - mmengine - INFO - Epoch(train) [159][35/63] lr: 1.0000e-04 eta: 1 day, 6:03:00 time: 2.1838 data_time: 0.1039 memory: 28971 loss_text: 0.1855 loss_kernel: 0.0828 loss: 0.2682 2022/08/26 09:52:57 - mmengine - INFO - Epoch(train) [159][40/63] lr: 1.0000e-04 eta: 1 day, 6:01:37 time: 2.3336 data_time: 0.1758 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0754 loss: 0.2442 2022/08/26 09:53:11 - mmengine - INFO - Epoch(train) [159][45/63] lr: 1.0000e-04 eta: 1 day, 6:01:37 time: 1.9706 data_time: 0.1419 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0610 loss: 0.1944 2022/08/26 09:53:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:53:16 - mmengine - INFO - Epoch(train) [159][50/63] lr: 1.0000e-04 eta: 1 day, 6:00:04 time: 1.9318 data_time: 0.1248 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0593 loss: 0.1862 2022/08/26 09:53:37 - mmengine - INFO - Epoch(train) [159][55/63] lr: 1.0000e-04 eta: 1 day, 6:00:04 time: 2.5159 data_time: 0.1110 memory: 28971 loss_text: 0.1808 loss_kernel: 0.0818 loss: 0.2626 2022/08/26 09:53:43 - mmengine - INFO - Epoch(train) [159][60/63] lr: 1.0000e-04 eta: 1 day, 5:58:52 time: 2.6731 data_time: 0.2019 memory: 28971 loss_text: 0.1725 loss_kernel: 0.0777 loss: 0.2502 2022/08/26 09:53:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:55:46 - mmengine - INFO - Epoch(train) [160][5/63] lr: 1.0000e-04 eta: 1 day, 5:58:52 time: 12.2478 data_time: 9.6337 memory: 28971 loss_text: 0.1643 loss_kernel: 0.0749 loss: 0.2392 2022/08/26 09:55:51 - mmengine - INFO - Epoch(train) [160][10/63] lr: 1.0000e-04 eta: 1 day, 6:01:07 time: 11.7722 data_time: 9.7376 memory: 28971 loss_text: 0.1639 loss_kernel: 0.0753 loss: 0.2392 2022/08/26 09:56:09 - mmengine - INFO - Epoch(train) [160][15/63] lr: 1.0000e-04 eta: 1 day, 6:01:07 time: 2.3419 data_time: 0.1666 memory: 28971 loss_text: 0.1552 loss_kernel: 0.0722 loss: 0.2275 2022/08/26 09:56:14 - mmengine - INFO - Epoch(train) [160][20/63] lr: 1.0000e-04 eta: 1 day, 5:59:44 time: 2.2695 data_time: 0.1002 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0711 loss: 0.2241 2022/08/26 09:56:33 - mmengine - INFO - Epoch(train) [160][25/63] lr: 1.0000e-04 eta: 1 day, 5:59:44 time: 2.3525 data_time: 0.1536 memory: 28971 loss_text: 0.1658 loss_kernel: 0.0755 loss: 0.2413 2022/08/26 09:56:37 - mmengine - INFO - Epoch(train) [160][30/63] lr: 1.0000e-04 eta: 1 day, 5:58:22 time: 2.3453 data_time: 0.1259 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0682 loss: 0.2180 2022/08/26 09:56:52 - mmengine - INFO - Epoch(train) [160][35/63] lr: 1.0000e-04 eta: 1 day, 5:58:22 time: 1.8885 data_time: 0.0432 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0605 loss: 0.1905 2022/08/26 09:56:57 - mmengine - INFO - Epoch(train) [160][40/63] lr: 1.0000e-04 eta: 1 day, 5:56:50 time: 1.9446 data_time: 0.1072 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0621 loss: 0.1941 2022/08/26 09:57:13 - mmengine - INFO - Epoch(train) [160][45/63] lr: 1.0000e-04 eta: 1 day, 5:56:50 time: 2.1330 data_time: 0.1314 memory: 28971 loss_text: 0.1131 loss_kernel: 0.0543 loss: 0.1674 2022/08/26 09:57:31 - mmengine - INFO - Epoch(train) [160][50/63] lr: 1.0000e-04 eta: 1 day, 5:55:58 time: 3.4353 data_time: 0.1725 memory: 28971 loss_text: 0.1290 loss_kernel: 0.0608 loss: 0.1898 2022/08/26 09:57:51 - mmengine - INFO - Epoch(train) [160][55/63] lr: 1.0000e-04 eta: 1 day, 5:55:58 time: 3.8193 data_time: 0.2334 memory: 28971 loss_text: 0.1544 loss_kernel: 0.0696 loss: 0.2240 2022/08/26 09:58:00 - mmengine - INFO - Epoch(train) [160][60/63] lr: 1.0000e-04 eta: 1 day, 5:54:52 time: 2.8810 data_time: 0.2682 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0682 loss: 0.2179 2022/08/26 09:58:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 09:58:16 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/26 09:58:56 - mmengine - INFO - Epoch(val) [160][5/500] eta: 1 day, 5:54:52 time: 3.4008 data_time: 2.8168 memory: 28971 2022/08/26 09:58:57 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:27:57 time: 3.4242 data_time: 2.8386 memory: 3207 2022/08/26 09:58:57 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:27:57 time: 0.1057 data_time: 0.0246 memory: 3207 2022/08/26 09:58:58 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:00:40 time: 0.0842 data_time: 0.0030 memory: 3207 2022/08/26 09:58:58 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:00:40 time: 0.0842 data_time: 0.0029 memory: 3207 2022/08/26 09:58:59 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:00:43 time: 0.0936 data_time: 0.0101 memory: 3207 2022/08/26 09:58:59 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:00:43 time: 0.0934 data_time: 0.0101 memory: 3207 2022/08/26 09:58:59 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:00:40 time: 0.0878 data_time: 0.0029 memory: 3207 2022/08/26 09:59:00 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:00:40 time: 0.0887 data_time: 0.0030 memory: 3207 2022/08/26 09:59:00 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:00:38 time: 0.0850 data_time: 0.0032 memory: 3207 2022/08/26 09:59:01 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:00:38 time: 0.0862 data_time: 0.0031 memory: 3207 2022/08/26 09:59:02 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:00:53 time: 0.1217 data_time: 0.0275 memory: 3207 2022/08/26 09:59:02 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:00:53 time: 0.1221 data_time: 0.0275 memory: 3207 2022/08/26 09:59:02 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:00:38 time: 0.0889 data_time: 0.0029 memory: 3207 2022/08/26 09:59:03 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:00:38 time: 0.1070 data_time: 0.0028 memory: 3207 2022/08/26 09:59:04 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:00:46 time: 0.1097 data_time: 0.0030 memory: 3207 2022/08/26 09:59:04 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:00:46 time: 0.0873 data_time: 0.0032 memory: 3207 2022/08/26 09:59:04 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:00:34 time: 0.0846 data_time: 0.0031 memory: 3207 2022/08/26 09:59:05 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:00:34 time: 0.0877 data_time: 0.0028 memory: 3207 2022/08/26 09:59:05 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:00:33 time: 0.0836 data_time: 0.0026 memory: 3207 2022/08/26 09:59:06 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:00:33 time: 0.0819 data_time: 0.0027 memory: 3207 2022/08/26 09:59:11 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:03:51 time: 0.5928 data_time: 0.0077 memory: 3207 2022/08/26 09:59:13 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:03:51 time: 0.7517 data_time: 0.0898 memory: 3207 2022/08/26 09:59:15 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:02:10 time: 0.3442 data_time: 0.0918 memory: 3207 2022/08/26 09:59:15 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:02:10 time: 0.1865 data_time: 0.0109 memory: 3207 2022/08/26 09:59:15 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:00:30 time: 0.0830 data_time: 0.0041 memory: 3207 2022/08/26 09:59:16 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:00:30 time: 0.0825 data_time: 0.0027 memory: 3207 2022/08/26 09:59:16 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:00:30 time: 0.0842 data_time: 0.0027 memory: 3207 2022/08/26 09:59:17 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:00:30 time: 0.0858 data_time: 0.0027 memory: 3207 2022/08/26 09:59:17 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:00:32 time: 0.0940 data_time: 0.0026 memory: 3207 2022/08/26 09:59:18 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:00:32 time: 0.0988 data_time: 0.0028 memory: 3207 2022/08/26 09:59:18 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:00:30 time: 0.0899 data_time: 0.0027 memory: 3207 2022/08/26 09:59:19 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:00:30 time: 0.0838 data_time: 0.0027 memory: 3207 2022/08/26 09:59:19 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:00:28 time: 0.0852 data_time: 0.0027 memory: 3207 2022/08/26 09:59:19 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:00:28 time: 0.0823 data_time: 0.0025 memory: 3207 2022/08/26 09:59:20 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:25 time: 0.0807 data_time: 0.0025 memory: 3207 2022/08/26 09:59:20 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:25 time: 0.0874 data_time: 0.0026 memory: 3207 2022/08/26 09:59:21 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:00:27 time: 0.0889 data_time: 0.0026 memory: 3207 2022/08/26 09:59:27 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:00:27 time: 0.6799 data_time: 0.0557 memory: 3207 2022/08/26 09:59:28 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:03:48 time: 0.7615 data_time: 0.0734 memory: 3207 2022/08/26 09:59:30 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:03:48 time: 0.2456 data_time: 0.0487 memory: 3207 2022/08/26 09:59:30 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:00:47 time: 0.1621 data_time: 0.0310 memory: 3207 2022/08/26 09:59:31 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:00:47 time: 0.1691 data_time: 0.0132 memory: 3207 2022/08/26 09:59:32 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:56 time: 0.2009 data_time: 0.0256 memory: 3207 2022/08/26 09:59:32 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:56 time: 0.1147 data_time: 0.0151 memory: 3207 2022/08/26 09:59:33 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:22 time: 0.0824 data_time: 0.0028 memory: 3207 2022/08/26 09:59:33 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:22 time: 0.0897 data_time: 0.0027 memory: 3207 2022/08/26 09:59:34 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:23 time: 0.0920 data_time: 0.0028 memory: 3207 2022/08/26 09:59:34 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:23 time: 0.0843 data_time: 0.0028 memory: 3207 2022/08/26 09:59:35 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:21 time: 0.0855 data_time: 0.0028 memory: 3207 2022/08/26 09:59:35 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:21 time: 0.0845 data_time: 0.0027 memory: 3207 2022/08/26 09:59:35 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:20 time: 0.0843 data_time: 0.0028 memory: 3207 2022/08/26 09:59:36 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:20 time: 0.1278 data_time: 0.0029 memory: 3207 2022/08/26 09:59:37 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:34 time: 0.1485 data_time: 0.0207 memory: 3207 2022/08/26 09:59:40 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:34 time: 0.4095 data_time: 0.0363 memory: 3207 2022/08/26 09:59:41 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:01:28 time: 0.4015 data_time: 0.0274 memory: 3207 2022/08/26 09:59:42 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:01:28 time: 0.1481 data_time: 0.0377 memory: 3207 2022/08/26 09:59:42 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:28 time: 0.1365 data_time: 0.0288 memory: 3207 2022/08/26 09:59:43 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:28 time: 0.0866 data_time: 0.0027 memory: 3207 2022/08/26 09:59:43 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:00:16 time: 0.0835 data_time: 0.0026 memory: 3207 2022/08/26 09:59:44 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:00:16 time: 0.0879 data_time: 0.0027 memory: 3207 2022/08/26 09:59:44 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:16 time: 0.0876 data_time: 0.0028 memory: 3207 2022/08/26 09:59:44 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:16 time: 0.0862 data_time: 0.0028 memory: 3207 2022/08/26 09:59:45 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:15 time: 0.0860 data_time: 0.0028 memory: 3207 2022/08/26 09:59:49 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:15 time: 0.4119 data_time: 0.0498 memory: 3207 2022/08/26 09:59:50 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:01:22 time: 0.4845 data_time: 0.0866 memory: 3207 2022/08/26 09:59:50 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:01:22 time: 0.1538 data_time: 0.0395 memory: 3207 2022/08/26 09:59:56 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:01:46 time: 0.6670 data_time: 0.0328 memory: 3207 2022/08/26 09:59:57 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:01:46 time: 0.6935 data_time: 0.0405 memory: 3207 2022/08/26 09:59:58 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:17 time: 0.1161 data_time: 0.0135 memory: 3207 2022/08/26 09:59:58 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:17 time: 0.1019 data_time: 0.0058 memory: 3207 2022/08/26 09:59:59 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:19 time: 0.1425 data_time: 0.0251 memory: 3207 2022/08/26 09:59:59 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:19 time: 0.1322 data_time: 0.0251 memory: 3207 2022/08/26 10:00:00 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:10 time: 0.0820 data_time: 0.0026 memory: 3207 2022/08/26 10:00:00 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:10 time: 0.0800 data_time: 0.0025 memory: 3207 2022/08/26 10:00:01 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:10 time: 0.0836 data_time: 0.0026 memory: 3207 2022/08/26 10:00:01 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:10 time: 0.0851 data_time: 0.0027 memory: 3207 2022/08/26 10:00:02 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:15 time: 0.1434 data_time: 0.0495 memory: 3207 2022/08/26 10:00:03 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:15 time: 0.1448 data_time: 0.0497 memory: 3207 2022/08/26 10:00:03 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:08 time: 0.0840 data_time: 0.0030 memory: 3207 2022/08/26 10:00:03 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:08 time: 0.0827 data_time: 0.0028 memory: 3207 2022/08/26 10:00:04 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:08 time: 0.0924 data_time: 0.0073 memory: 3207 2022/08/26 10:00:04 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:08 time: 0.0914 data_time: 0.0073 memory: 3207 2022/08/26 10:00:05 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:06 time: 0.0802 data_time: 0.0028 memory: 3207 2022/08/26 10:00:05 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:06 time: 0.0813 data_time: 0.0028 memory: 3207 2022/08/26 10:00:06 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:08 time: 0.1153 data_time: 0.0027 memory: 3207 2022/08/26 10:00:06 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:08 time: 0.1249 data_time: 0.0099 memory: 3207 2022/08/26 10:00:14 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:45 time: 0.7567 data_time: 0.1167 memory: 3207 2022/08/26 10:00:14 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:45 time: 0.7928 data_time: 0.1494 memory: 3207 2022/08/26 10:00:15 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:07 time: 0.1438 data_time: 0.0428 memory: 3207 2022/08/26 10:00:15 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:07 time: 0.0986 data_time: 0.0029 memory: 3207 2022/08/26 10:00:16 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:04 time: 0.1144 data_time: 0.0110 memory: 3207 2022/08/26 10:00:16 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:04 time: 0.1155 data_time: 0.0125 memory: 3207 2022/08/26 10:00:17 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:02 time: 0.0836 data_time: 0.0041 memory: 3207 2022/08/26 10:00:17 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:02 time: 0.0799 data_time: 0.0025 memory: 3207 2022/08/26 10:00:18 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:01 time: 0.0820 data_time: 0.0025 memory: 3207 2022/08/26 10:00:18 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:01 time: 0.0830 data_time: 0.0025 memory: 3207 2022/08/26 10:00:19 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:00 time: 0.0847 data_time: 0.0027 memory: 3207 2022/08/26 10:00:19 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:00 time: 0.0881 data_time: 0.0028 memory: 3207 2022/08/26 10:00:19 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.0837 data_time: 0.0026 memory: 3207 2022/08/26 10:00:20 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 10:00:20 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7241, precision: 0.6395, hmean: 0.6792 2022/08/26 10:00:20 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7241, precision: 0.6395, hmean: 0.6792 2022/08/26 10:00:20 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7241, precision: 0.6395, hmean: 0.6792 2022/08/26 10:00:20 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7241, precision: 0.6809, hmean: 0.7018 2022/08/26 10:00:20 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7227, precision: 0.7269, hmean: 0.7248 2022/08/26 10:00:20 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7164, precision: 0.7718, hmean: 0.7431 2022/08/26 10:00:20 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6880, precision: 0.8284, hmean: 0.7517 2022/08/26 10:00:20 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.8284 icdar/recall: 0.6880 icdar/hmean: 0.7517 2022/08/26 10:02:04 - mmengine - INFO - Epoch(train) [161][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 12.2115 data_time: 9.2142 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0756 loss: 0.2383 2022/08/26 10:02:10 - mmengine - INFO - Epoch(train) [161][10/63] lr: 1.0000e-04 eta: 1 day, 5:56:45 time: 11.0110 data_time: 9.2290 memory: 28971 loss_text: 0.1623 loss_kernel: 0.0758 loss: 0.2380 2022/08/26 10:02:24 - mmengine - INFO - Epoch(train) [161][15/63] lr: 1.0000e-04 eta: 1 day, 5:56:45 time: 1.9746 data_time: 0.1014 memory: 28971 loss_text: 0.1677 loss_kernel: 0.0772 loss: 0.2449 2022/08/26 10:02:29 - mmengine - INFO - Epoch(train) [161][20/63] lr: 1.0000e-04 eta: 1 day, 5:55:12 time: 1.9298 data_time: 0.1252 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0684 loss: 0.2177 2022/08/26 10:02:43 - mmengine - INFO - Epoch(train) [161][25/63] lr: 1.0000e-04 eta: 1 day, 5:55:12 time: 1.8642 data_time: 0.0970 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0649 loss: 0.2058 2022/08/26 10:02:48 - mmengine - INFO - Epoch(train) [161][30/63] lr: 1.0000e-04 eta: 1 day, 5:53:38 time: 1.8468 data_time: 0.0698 memory: 28971 loss_text: 0.1723 loss_kernel: 0.0782 loss: 0.2505 2022/08/26 10:02:59 - mmengine - INFO - Epoch(train) [161][35/63] lr: 1.0000e-04 eta: 1 day, 5:53:38 time: 1.5980 data_time: 0.0682 memory: 28971 loss_text: 0.1660 loss_kernel: 0.0760 loss: 0.2420 2022/08/26 10:03:04 - mmengine - INFO - Epoch(train) [161][40/63] lr: 1.0000e-04 eta: 1 day, 5:51:57 time: 1.6122 data_time: 0.0652 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0668 loss: 0.2091 2022/08/26 10:03:22 - mmengine - INFO - Epoch(train) [161][45/63] lr: 1.0000e-04 eta: 1 day, 5:51:57 time: 2.2721 data_time: 0.1115 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0600 loss: 0.1912 2022/08/26 10:03:26 - mmengine - INFO - Epoch(train) [161][50/63] lr: 1.0000e-04 eta: 1 day, 5:50:34 time: 2.2720 data_time: 0.1224 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0618 loss: 0.1946 2022/08/26 10:03:43 - mmengine - INFO - Epoch(train) [161][55/63] lr: 1.0000e-04 eta: 1 day, 5:50:34 time: 2.0705 data_time: 0.0872 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0699 loss: 0.2202 2022/08/26 10:03:48 - mmengine - INFO - Epoch(train) [161][60/63] lr: 1.0000e-04 eta: 1 day, 5:49:08 time: 2.1508 data_time: 0.1995 memory: 28971 loss_text: 0.1585 loss_kernel: 0.0713 loss: 0.2298 2022/08/26 10:03:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:05:35 - mmengine - INFO - Epoch(train) [162][5/63] lr: 1.0000e-04 eta: 1 day, 5:49:08 time: 10.8617 data_time: 9.2687 memory: 28971 loss_text: 0.1542 loss_kernel: 0.0717 loss: 0.2259 2022/08/26 10:05:40 - mmengine - INFO - Epoch(train) [162][10/63] lr: 1.0000e-04 eta: 1 day, 5:50:56 time: 10.8960 data_time: 9.2979 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0746 loss: 0.2363 2022/08/26 10:05:54 - mmengine - INFO - Epoch(train) [162][15/63] lr: 1.0000e-04 eta: 1 day, 5:50:56 time: 1.8284 data_time: 0.0630 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0698 loss: 0.2202 2022/08/26 10:05:58 - mmengine - INFO - Epoch(train) [162][20/63] lr: 1.0000e-04 eta: 1 day, 5:49:22 time: 1.8363 data_time: 0.0959 memory: 28971 loss_text: 0.1483 loss_kernel: 0.0679 loss: 0.2162 2022/08/26 10:06:12 - mmengine - INFO - Epoch(train) [162][25/63] lr: 1.0000e-04 eta: 1 day, 5:49:22 time: 1.8779 data_time: 0.1862 memory: 28971 loss_text: 0.1647 loss_kernel: 0.0757 loss: 0.2404 2022/08/26 10:06:17 - mmengine - INFO - Epoch(train) [162][30/63] lr: 1.0000e-04 eta: 1 day, 5:47:48 time: 1.8662 data_time: 0.1455 memory: 28971 loss_text: 0.1396 loss_kernel: 0.0658 loss: 0.2053 2022/08/26 10:06:31 - mmengine - INFO - Epoch(train) [162][35/63] lr: 1.0000e-04 eta: 1 day, 5:47:48 time: 1.8268 data_time: 0.0496 memory: 28971 loss_text: 0.1242 loss_kernel: 0.0558 loss: 0.1800 2022/08/26 10:06:36 - mmengine - INFO - Epoch(train) [162][40/63] lr: 1.0000e-04 eta: 1 day, 5:46:15 time: 1.8929 data_time: 0.0975 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0661 loss: 0.2137 2022/08/26 10:06:40 - mmengine - INFO - Epoch(train) [162][45/63] lr: 1.0000e-04 eta: 1 day, 5:46:15 time: 0.9924 data_time: 0.0905 memory: 28971 loss_text: 0.1612 loss_kernel: 0.0738 loss: 0.2349 2022/08/26 10:06:58 - mmengine - INFO - Epoch(train) [162][50/63] lr: 1.0000e-04 eta: 1 day, 5:44:52 time: 2.2294 data_time: 0.0980 memory: 28971 loss_text: 0.1602 loss_kernel: 0.0710 loss: 0.2312 2022/08/26 10:07:09 - mmengine - INFO - Epoch(train) [162][55/63] lr: 1.0000e-04 eta: 1 day, 5:44:52 time: 2.7738 data_time: 0.1123 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0667 loss: 0.2160 2022/08/26 10:07:17 - mmengine - INFO - Epoch(train) [162][60/63] lr: 1.0000e-04 eta: 1 day, 5:43:19 time: 1.8937 data_time: 0.2594 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0689 loss: 0.2180 2022/08/26 10:07:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:09:04 - mmengine - INFO - Epoch(train) [163][5/63] lr: 1.0000e-04 eta: 1 day, 5:43:19 time: 10.8256 data_time: 9.2537 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0634 loss: 0.1996 2022/08/26 10:09:09 - mmengine - INFO - Epoch(train) [163][10/63] lr: 1.0000e-04 eta: 1 day, 5:45:07 time: 10.8967 data_time: 9.2782 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0615 loss: 0.1954 2022/08/26 10:09:23 - mmengine - INFO - Epoch(train) [163][15/63] lr: 1.0000e-04 eta: 1 day, 5:45:07 time: 1.8796 data_time: 0.1053 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0588 loss: 0.1853 2022/08/26 10:09:27 - mmengine - INFO - Epoch(train) [163][20/63] lr: 1.0000e-04 eta: 1 day, 5:43:31 time: 1.7661 data_time: 0.0790 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0629 loss: 0.1981 2022/08/26 10:09:35 - mmengine - INFO - Epoch(train) [163][25/63] lr: 1.0000e-04 eta: 1 day, 5:43:31 time: 1.2365 data_time: 0.0442 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0734 loss: 0.2374 2022/08/26 10:09:40 - mmengine - INFO - Epoch(train) [163][30/63] lr: 1.0000e-04 eta: 1 day, 5:41:43 time: 1.2935 data_time: 0.0572 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0585 loss: 0.1870 2022/08/26 10:09:46 - mmengine - INFO - Epoch(train) [163][35/63] lr: 1.0000e-04 eta: 1 day, 5:41:43 time: 1.0855 data_time: 0.0688 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0620 loss: 0.1927 2022/08/26 10:09:50 - mmengine - INFO - Epoch(train) [163][40/63] lr: 1.0000e-04 eta: 1 day, 5:39:47 time: 1.0319 data_time: 0.0453 memory: 28971 loss_text: 0.1864 loss_kernel: 0.0858 loss: 0.2722 2022/08/26 10:09:56 - mmengine - INFO - Epoch(train) [163][45/63] lr: 1.0000e-04 eta: 1 day, 5:39:47 time: 1.0413 data_time: 0.0417 memory: 28971 loss_text: 0.1960 loss_kernel: 0.0874 loss: 0.2834 2022/08/26 10:10:01 - mmengine - INFO - Epoch(train) [163][50/63] lr: 1.0000e-04 eta: 1 day, 5:37:53 time: 1.0583 data_time: 0.0458 memory: 28971 loss_text: 0.1884 loss_kernel: 0.0826 loss: 0.2710 2022/08/26 10:10:06 - mmengine - INFO - Epoch(train) [163][55/63] lr: 1.0000e-04 eta: 1 day, 5:37:53 time: 0.9472 data_time: 0.0387 memory: 28971 loss_text: 0.1907 loss_kernel: 0.0838 loss: 0.2745 2022/08/26 10:10:11 - mmengine - INFO - Epoch(train) [163][60/63] lr: 1.0000e-04 eta: 1 day, 5:35:57 time: 0.9780 data_time: 0.0406 memory: 28971 loss_text: 0.2025 loss_kernel: 0.0887 loss: 0.2911 2022/08/26 10:10:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:11:47 - mmengine - INFO - Epoch(train) [164][5/63] lr: 1.0000e-04 eta: 1 day, 5:35:57 time: 9.7819 data_time: 8.3956 memory: 28971 loss_text: 0.2099 loss_kernel: 0.0922 loss: 0.3021 2022/08/26 10:11:51 - mmengine - INFO - Epoch(train) [164][10/63] lr: 1.0000e-04 eta: 1 day, 5:37:05 time: 9.4555 data_time: 8.4078 memory: 28971 loss_text: 0.2110 loss_kernel: 0.0907 loss: 0.3017 2022/08/26 10:11:58 - mmengine - INFO - Epoch(train) [164][15/63] lr: 1.0000e-04 eta: 1 day, 5:37:05 time: 1.0962 data_time: 0.0367 memory: 28971 loss_text: 0.1821 loss_kernel: 0.0810 loss: 0.2631 2022/08/26 10:12:03 - mmengine - INFO - Epoch(train) [164][20/63] lr: 1.0000e-04 eta: 1 day, 5:35:14 time: 1.1993 data_time: 0.0648 memory: 28971 loss_text: 0.1529 loss_kernel: 0.0692 loss: 0.2222 2022/08/26 10:12:08 - mmengine - INFO - Epoch(train) [164][25/63] lr: 1.0000e-04 eta: 1 day, 5:35:14 time: 1.0208 data_time: 0.0673 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0659 loss: 0.2147 2022/08/26 10:12:13 - mmengine - INFO - Epoch(train) [164][30/63] lr: 1.0000e-04 eta: 1 day, 5:33:18 time: 0.9538 data_time: 0.0280 memory: 28971 loss_text: 0.1682 loss_kernel: 0.0737 loss: 0.2419 2022/08/26 10:12:19 - mmengine - INFO - Epoch(train) [164][35/63] lr: 1.0000e-04 eta: 1 day, 5:33:18 time: 1.0869 data_time: 0.1289 memory: 28971 loss_text: 0.1913 loss_kernel: 0.0874 loss: 0.2787 2022/08/26 10:12:23 - mmengine - INFO - Epoch(train) [164][40/63] lr: 1.0000e-04 eta: 1 day, 5:31:24 time: 1.0353 data_time: 0.1190 memory: 28971 loss_text: 0.1940 loss_kernel: 0.0898 loss: 0.2838 2022/08/26 10:12:28 - mmengine - INFO - Epoch(train) [164][45/63] lr: 1.0000e-04 eta: 1 day, 5:31:24 time: 0.8673 data_time: 0.0299 memory: 28971 loss_text: 0.1796 loss_kernel: 0.0821 loss: 0.2616 2022/08/26 10:12:33 - mmengine - INFO - Epoch(train) [164][50/63] lr: 1.0000e-04 eta: 1 day, 5:29:28 time: 0.9860 data_time: 0.0436 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0615 loss: 0.1914 2022/08/26 10:12:42 - mmengine - INFO - Epoch(train) [164][55/63] lr: 1.0000e-04 eta: 1 day, 5:29:28 time: 1.3865 data_time: 0.0499 memory: 28971 loss_text: 0.1052 loss_kernel: 0.0493 loss: 0.1545 2022/08/26 10:12:51 - mmengine - INFO - Epoch(train) [164][60/63] lr: 1.0000e-04 eta: 1 day, 5:27:56 time: 1.8338 data_time: 0.1613 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0560 loss: 0.1796 2022/08/26 10:13:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:14:41 - mmengine - INFO - Epoch(train) [165][5/63] lr: 1.0000e-04 eta: 1 day, 5:27:56 time: 11.0856 data_time: 8.8171 memory: 28971 loss_text: 0.1500 loss_kernel: 0.0667 loss: 0.2168 2022/08/26 10:14:46 - mmengine - INFO - Epoch(train) [165][10/63] lr: 1.0000e-04 eta: 1 day, 5:29:24 time: 10.2594 data_time: 8.8283 memory: 28971 loss_text: 0.1417 loss_kernel: 0.0640 loss: 0.2057 2022/08/26 10:15:00 - mmengine - INFO - Epoch(train) [165][15/63] lr: 1.0000e-04 eta: 1 day, 5:29:24 time: 1.8299 data_time: 0.0694 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0544 loss: 0.1784 2022/08/26 10:15:04 - mmengine - INFO - Epoch(train) [165][20/63] lr: 1.0000e-04 eta: 1 day, 5:27:52 time: 1.8296 data_time: 0.0948 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0630 loss: 0.2038 2022/08/26 10:15:17 - mmengine - INFO - Epoch(train) [165][25/63] lr: 1.0000e-04 eta: 1 day, 5:27:52 time: 1.7692 data_time: 0.1553 memory: 28971 loss_text: 0.1614 loss_kernel: 0.0738 loss: 0.2351 2022/08/26 10:15:22 - mmengine - INFO - Epoch(train) [165][30/63] lr: 1.0000e-04 eta: 1 day, 5:26:18 time: 1.7791 data_time: 0.1337 memory: 28971 loss_text: 0.1811 loss_kernel: 0.0791 loss: 0.2602 2022/08/26 10:15:36 - mmengine - INFO - Epoch(train) [165][35/63] lr: 1.0000e-04 eta: 1 day, 5:26:18 time: 1.8105 data_time: 0.0598 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0606 loss: 0.1973 2022/08/26 10:15:40 - mmengine - INFO - Epoch(train) [165][40/63] lr: 1.0000e-04 eta: 1 day, 5:24:45 time: 1.8175 data_time: 0.0612 memory: 28971 loss_text: 0.1385 loss_kernel: 0.0630 loss: 0.2015 2022/08/26 10:15:45 - mmengine - INFO - Epoch(train) [165][45/63] lr: 1.0000e-04 eta: 1 day, 5:24:45 time: 0.9950 data_time: 0.0519 memory: 28971 loss_text: 0.1847 loss_kernel: 0.0820 loss: 0.2667 2022/08/26 10:15:59 - mmengine - INFO - Epoch(train) [165][50/63] lr: 1.0000e-04 eta: 1 day, 5:23:12 time: 1.8045 data_time: 0.0832 memory: 28971 loss_text: 0.1727 loss_kernel: 0.0782 loss: 0.2509 2022/08/26 10:16:05 - mmengine - INFO - Epoch(train) [165][55/63] lr: 1.0000e-04 eta: 1 day, 5:23:12 time: 1.9494 data_time: 0.0988 memory: 28971 loss_text: 0.1395 loss_kernel: 0.0655 loss: 0.2050 2022/08/26 10:16:20 - mmengine - INFO - Epoch(train) [165][60/63] lr: 1.0000e-04 eta: 1 day, 5:21:49 time: 2.1709 data_time: 0.1680 memory: 28971 loss_text: 0.1466 loss_kernel: 0.0677 loss: 0.2143 2022/08/26 10:16:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:18:11 - mmengine - INFO - Epoch(train) [166][5/63] lr: 1.0000e-04 eta: 1 day, 5:21:49 time: 11.2010 data_time: 9.1683 memory: 28971 loss_text: 0.1823 loss_kernel: 0.0803 loss: 0.2626 2022/08/26 10:18:16 - mmengine - INFO - Epoch(train) [166][10/63] lr: 1.0000e-04 eta: 1 day, 5:23:44 time: 11.2709 data_time: 9.2110 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0702 loss: 0.2252 2022/08/26 10:18:30 - mmengine - INFO - Epoch(train) [166][15/63] lr: 1.0000e-04 eta: 1 day, 5:23:44 time: 1.9377 data_time: 0.1126 memory: 28971 loss_text: 0.1178 loss_kernel: 0.0557 loss: 0.1736 2022/08/26 10:18:35 - mmengine - INFO - Epoch(train) [166][20/63] lr: 1.0000e-04 eta: 1 day, 5:22:13 time: 1.8936 data_time: 0.0970 memory: 28971 loss_text: 0.1306 loss_kernel: 0.0599 loss: 0.1905 2022/08/26 10:18:48 - mmengine - INFO - Epoch(train) [166][25/63] lr: 1.0000e-04 eta: 1 day, 5:22:13 time: 1.8017 data_time: 0.1232 memory: 28971 loss_text: 0.1454 loss_kernel: 0.0659 loss: 0.2113 2022/08/26 10:18:53 - mmengine - INFO - Epoch(train) [166][30/63] lr: 1.0000e-04 eta: 1 day, 5:20:40 time: 1.7649 data_time: 0.1156 memory: 28971 loss_text: 0.1521 loss_kernel: 0.0690 loss: 0.2211 2022/08/26 10:19:08 - mmengine - INFO - Epoch(train) [166][35/63] lr: 1.0000e-04 eta: 1 day, 5:20:40 time: 2.0017 data_time: 0.1207 memory: 28971 loss_text: 0.1586 loss_kernel: 0.0717 loss: 0.2304 2022/08/26 10:19:13 - mmengine - INFO - Epoch(train) [166][40/63] lr: 1.0000e-04 eta: 1 day, 5:19:12 time: 1.9985 data_time: 0.1205 memory: 28971 loss_text: 0.1610 loss_kernel: 0.0721 loss: 0.2331 2022/08/26 10:19:24 - mmengine - INFO - Epoch(train) [166][45/63] lr: 1.0000e-04 eta: 1 day, 5:19:12 time: 1.5215 data_time: 0.0588 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0720 loss: 0.2337 2022/08/26 10:19:29 - mmengine - INFO - Epoch(train) [166][50/63] lr: 1.0000e-04 eta: 1 day, 5:17:36 time: 1.6479 data_time: 0.1510 memory: 28971 loss_text: 0.1634 loss_kernel: 0.0724 loss: 0.2358 2022/08/26 10:19:50 - mmengine - INFO - Epoch(train) [166][55/63] lr: 1.0000e-04 eta: 1 day, 5:17:36 time: 2.5719 data_time: 0.2580 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0655 loss: 0.2105 2022/08/26 10:19:57 - mmengine - INFO - Epoch(train) [166][60/63] lr: 1.0000e-04 eta: 1 day, 5:16:29 time: 2.7538 data_time: 0.2220 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0647 loss: 0.2056 2022/08/26 10:20:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:21:56 - mmengine - INFO - Epoch(train) [167][5/63] lr: 1.0000e-04 eta: 1 day, 5:16:29 time: 12.1587 data_time: 8.9265 memory: 28971 loss_text: 0.1801 loss_kernel: 0.0815 loss: 0.2616 2022/08/26 10:22:01 - mmengine - INFO - Epoch(train) [167][10/63] lr: 1.0000e-04 eta: 1 day, 5:18:13 time: 10.9099 data_time: 8.9360 memory: 28971 loss_text: 0.1709 loss_kernel: 0.0772 loss: 0.2481 2022/08/26 10:22:16 - mmengine - INFO - Epoch(train) [167][15/63] lr: 1.0000e-04 eta: 1 day, 5:18:13 time: 1.9449 data_time: 0.1020 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0659 loss: 0.2114 2022/08/26 10:22:20 - mmengine - INFO - Epoch(train) [167][20/63] lr: 1.0000e-04 eta: 1 day, 5:16:43 time: 1.8878 data_time: 0.0848 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0613 loss: 0.1969 2022/08/26 10:22:35 - mmengine - INFO - Epoch(train) [167][25/63] lr: 1.0000e-04 eta: 1 day, 5:16:43 time: 1.9304 data_time: 0.1000 memory: 28971 loss_text: 0.1524 loss_kernel: 0.0676 loss: 0.2200 2022/08/26 10:22:39 - mmengine - INFO - Epoch(train) [167][30/63] lr: 1.0000e-04 eta: 1 day, 5:15:13 time: 1.9107 data_time: 0.1093 memory: 28971 loss_text: 0.1658 loss_kernel: 0.0732 loss: 0.2390 2022/08/26 10:22:53 - mmengine - INFO - Epoch(train) [167][35/63] lr: 1.0000e-04 eta: 1 day, 5:15:13 time: 1.7646 data_time: 0.0814 memory: 28971 loss_text: 0.1599 loss_kernel: 0.0705 loss: 0.2305 2022/08/26 10:22:58 - mmengine - INFO - Epoch(train) [167][40/63] lr: 1.0000e-04 eta: 1 day, 5:13:43 time: 1.8530 data_time: 0.1564 memory: 28971 loss_text: 0.1653 loss_kernel: 0.0724 loss: 0.2377 2022/08/26 10:23:12 - mmengine - INFO - Epoch(train) [167][45/63] lr: 1.0000e-04 eta: 1 day, 5:13:43 time: 1.9621 data_time: 0.1440 memory: 28971 loss_text: 0.1830 loss_kernel: 0.0804 loss: 0.2634 2022/08/26 10:23:17 - mmengine - INFO - Epoch(train) [167][50/63] lr: 1.0000e-04 eta: 1 day, 5:12:14 time: 1.9348 data_time: 0.1208 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0716 loss: 0.2327 2022/08/26 10:23:47 - mmengine - INFO - Epoch(train) [167][55/63] lr: 1.0000e-04 eta: 1 day, 5:12:14 time: 3.4181 data_time: 0.1003 memory: 28971 loss_text: 0.1093 loss_kernel: 0.0505 loss: 0.1597 2022/08/26 10:24:00 - mmengine - INFO - Epoch(train) [167][60/63] lr: 1.0000e-04 eta: 1 day, 5:11:45 time: 4.2080 data_time: 0.3382 memory: 28971 loss_text: 0.1130 loss_kernel: 0.0536 loss: 0.1666 2022/08/26 10:24:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:25:47 - mmengine - INFO - Epoch(train) [168][5/63] lr: 1.0000e-04 eta: 1 day, 5:11:45 time: 10.9023 data_time: 9.0943 memory: 28971 loss_text: 0.1394 loss_kernel: 0.0647 loss: 0.2041 2022/08/26 10:25:52 - mmengine - INFO - Epoch(train) [168][10/63] lr: 1.0000e-04 eta: 1 day, 5:13:25 time: 10.8253 data_time: 9.1238 memory: 28971 loss_text: 0.1400 loss_kernel: 0.0646 loss: 0.2047 2022/08/26 10:26:06 - mmengine - INFO - Epoch(train) [168][15/63] lr: 1.0000e-04 eta: 1 day, 5:13:25 time: 1.8660 data_time: 0.0997 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0619 loss: 0.1984 2022/08/26 10:26:10 - mmengine - INFO - Epoch(train) [168][20/63] lr: 1.0000e-04 eta: 1 day, 5:11:55 time: 1.8537 data_time: 0.1173 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0622 loss: 0.1983 2022/08/26 10:26:27 - mmengine - INFO - Epoch(train) [168][25/63] lr: 1.0000e-04 eta: 1 day, 5:11:55 time: 2.1011 data_time: 0.1408 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0633 loss: 0.2041 2022/08/26 10:26:31 - mmengine - INFO - Epoch(train) [168][30/63] lr: 1.0000e-04 eta: 1 day, 5:10:30 time: 2.0736 data_time: 0.1162 memory: 28971 loss_text: 0.1558 loss_kernel: 0.0686 loss: 0.2244 2022/08/26 10:26:45 - mmengine - INFO - Epoch(train) [168][35/63] lr: 1.0000e-04 eta: 1 day, 5:10:30 time: 1.8075 data_time: 0.0676 memory: 28971 loss_text: 0.1586 loss_kernel: 0.0700 loss: 0.2286 2022/08/26 10:26:50 - mmengine - INFO - Epoch(train) [168][40/63] lr: 1.0000e-04 eta: 1 day, 5:09:01 time: 1.8714 data_time: 0.1211 memory: 28971 loss_text: 0.1519 loss_kernel: 0.0649 loss: 0.2169 2022/08/26 10:27:01 - mmengine - INFO - Epoch(train) [168][45/63] lr: 1.0000e-04 eta: 1 day, 5:09:01 time: 1.5420 data_time: 0.1133 memory: 28971 loss_text: 0.1792 loss_kernel: 0.0783 loss: 0.2575 2022/08/26 10:27:09 - mmengine - INFO - Epoch(train) [168][50/63] lr: 1.0000e-04 eta: 1 day, 5:07:31 time: 1.8735 data_time: 0.1711 memory: 28971 loss_text: 0.1892 loss_kernel: 0.0843 loss: 0.2736 2022/08/26 10:27:13 - mmengine - INFO - Epoch(train) [168][55/63] lr: 1.0000e-04 eta: 1 day, 5:07:31 time: 1.3014 data_time: 0.1701 memory: 28971 loss_text: 0.1652 loss_kernel: 0.0723 loss: 0.2375 2022/08/26 10:27:27 - mmengine - INFO - Epoch(train) [168][60/63] lr: 1.0000e-04 eta: 1 day, 5:06:01 time: 1.8467 data_time: 0.0908 memory: 28971 loss_text: 0.1583 loss_kernel: 0.0702 loss: 0.2285 2022/08/26 10:27:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:29:08 - mmengine - INFO - Epoch(train) [169][5/63] lr: 1.0000e-04 eta: 1 day, 5:06:01 time: 10.2859 data_time: 8.7132 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0666 loss: 0.2135 2022/08/26 10:29:13 - mmengine - INFO - Epoch(train) [169][10/63] lr: 1.0000e-04 eta: 1 day, 5:07:26 time: 10.2434 data_time: 8.6981 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0675 loss: 0.2139 2022/08/26 10:29:26 - mmengine - INFO - Epoch(train) [169][15/63] lr: 1.0000e-04 eta: 1 day, 5:07:26 time: 1.7873 data_time: 0.1052 memory: 28971 loss_text: 0.1511 loss_kernel: 0.0680 loss: 0.2190 2022/08/26 10:29:31 - mmengine - INFO - Epoch(train) [169][20/63] lr: 1.0000e-04 eta: 1 day, 5:05:54 time: 1.7799 data_time: 0.1052 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0610 loss: 0.1953 2022/08/26 10:29:44 - mmengine - INFO - Epoch(train) [169][25/63] lr: 1.0000e-04 eta: 1 day, 5:05:54 time: 1.8275 data_time: 0.1026 memory: 28971 loss_text: 0.1244 loss_kernel: 0.0592 loss: 0.1836 2022/08/26 10:29:49 - mmengine - INFO - Epoch(train) [169][30/63] lr: 1.0000e-04 eta: 1 day, 5:04:23 time: 1.8204 data_time: 0.1080 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0687 loss: 0.2152 2022/08/26 10:30:00 - mmengine - INFO - Epoch(train) [169][35/63] lr: 1.0000e-04 eta: 1 day, 5:04:23 time: 1.5628 data_time: 0.0529 memory: 28971 loss_text: 0.1554 loss_kernel: 0.0722 loss: 0.2276 2022/08/26 10:30:06 - mmengine - INFO - Epoch(train) [169][40/63] lr: 1.0000e-04 eta: 1 day, 5:02:51 time: 1.7312 data_time: 0.0915 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0605 loss: 0.1903 2022/08/26 10:30:12 - mmengine - INFO - Epoch(train) [169][45/63] lr: 1.0000e-04 eta: 1 day, 5:02:51 time: 1.1486 data_time: 0.0903 memory: 28971 loss_text: 0.1342 loss_kernel: 0.0622 loss: 0.1963 2022/08/26 10:30:22 - mmengine - INFO - Epoch(train) [169][50/63] lr: 1.0000e-04 eta: 1 day, 5:01:14 time: 1.5537 data_time: 0.0902 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0666 loss: 0.2159 2022/08/26 10:30:28 - mmengine - INFO - Epoch(train) [169][55/63] lr: 1.0000e-04 eta: 1 day, 5:01:14 time: 1.5892 data_time: 0.1216 memory: 28971 loss_text: 0.1591 loss_kernel: 0.0698 loss: 0.2289 2022/08/26 10:30:40 - mmengine - INFO - Epoch(train) [169][60/63] lr: 1.0000e-04 eta: 1 day, 4:59:44 time: 1.8553 data_time: 0.1940 memory: 28971 loss_text: 0.1729 loss_kernel: 0.0773 loss: 0.2502 2022/08/26 10:30:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:32:23 - mmengine - INFO - Epoch(train) [170][5/63] lr: 1.0000e-04 eta: 1 day, 4:59:44 time: 10.4958 data_time: 8.9729 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0560 loss: 0.1767 2022/08/26 10:32:28 - mmengine - INFO - Epoch(train) [170][10/63] lr: 1.0000e-04 eta: 1 day, 5:01:13 time: 10.4185 data_time: 8.9857 memory: 28971 loss_text: 0.1160 loss_kernel: 0.0541 loss: 0.1702 2022/08/26 10:32:42 - mmengine - INFO - Epoch(train) [170][15/63] lr: 1.0000e-04 eta: 1 day, 5:01:13 time: 1.8440 data_time: 0.0774 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0632 loss: 0.2005 2022/08/26 10:32:47 - mmengine - INFO - Epoch(train) [170][20/63] lr: 1.0000e-04 eta: 1 day, 4:59:43 time: 1.8345 data_time: 0.1094 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0638 loss: 0.2042 2022/08/26 10:33:00 - mmengine - INFO - Epoch(train) [170][25/63] lr: 1.0000e-04 eta: 1 day, 4:59:43 time: 1.8547 data_time: 0.1172 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0601 loss: 0.1902 2022/08/26 10:33:05 - mmengine - INFO - Epoch(train) [170][30/63] lr: 1.0000e-04 eta: 1 day, 4:58:13 time: 1.8169 data_time: 0.0820 memory: 28971 loss_text: 0.1699 loss_kernel: 0.0772 loss: 0.2472 2022/08/26 10:33:18 - mmengine - INFO - Epoch(train) [170][35/63] lr: 1.0000e-04 eta: 1 day, 4:58:13 time: 1.7277 data_time: 0.1512 memory: 28971 loss_text: 0.1701 loss_kernel: 0.0766 loss: 0.2466 2022/08/26 10:33:23 - mmengine - INFO - Epoch(train) [170][40/63] lr: 1.0000e-04 eta: 1 day, 4:56:42 time: 1.7797 data_time: 0.1573 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0630 loss: 0.1998 2022/08/26 10:33:35 - mmengine - INFO - Epoch(train) [170][45/63] lr: 1.0000e-04 eta: 1 day, 4:56:42 time: 1.7446 data_time: 0.0714 memory: 28971 loss_text: 0.1092 loss_kernel: 0.0520 loss: 0.1612 2022/08/26 10:33:40 - mmengine - INFO - Epoch(train) [170][50/63] lr: 1.0000e-04 eta: 1 day, 4:55:11 time: 1.7547 data_time: 0.0862 memory: 28971 loss_text: 0.1092 loss_kernel: 0.0511 loss: 0.1603 2022/08/26 10:33:52 - mmengine - INFO - Epoch(train) [170][55/63] lr: 1.0000e-04 eta: 1 day, 4:55:11 time: 1.7268 data_time: 0.0679 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0607 loss: 0.1948 2022/08/26 10:34:02 - mmengine - INFO - Epoch(train) [170][60/63] lr: 1.0000e-04 eta: 1 day, 4:53:51 time: 2.2324 data_time: 0.0484 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0628 loss: 0.2026 2022/08/26 10:34:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:35:51 - mmengine - INFO - Epoch(train) [171][5/63] lr: 1.0000e-04 eta: 1 day, 4:53:51 time: 11.4025 data_time: 8.7861 memory: 28971 loss_text: 0.1606 loss_kernel: 0.0731 loss: 0.2337 2022/08/26 10:35:56 - mmengine - INFO - Epoch(train) [171][10/63] lr: 1.0000e-04 eta: 1 day, 4:55:16 time: 10.3037 data_time: 8.7975 memory: 28971 loss_text: 0.1888 loss_kernel: 0.0857 loss: 0.2744 2022/08/26 10:36:08 - mmengine - INFO - Epoch(train) [171][15/63] lr: 1.0000e-04 eta: 1 day, 4:55:16 time: 1.7133 data_time: 0.0734 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0725 loss: 0.2305 2022/08/26 10:36:14 - mmengine - INFO - Epoch(train) [171][20/63] lr: 1.0000e-04 eta: 1 day, 4:53:46 time: 1.8147 data_time: 0.1207 memory: 28971 loss_text: 0.1576 loss_kernel: 0.0713 loss: 0.2289 2022/08/26 10:36:27 - mmengine - INFO - Epoch(train) [171][25/63] lr: 1.0000e-04 eta: 1 day, 4:53:46 time: 1.8376 data_time: 0.1124 memory: 28971 loss_text: 0.1593 loss_kernel: 0.0725 loss: 0.2318 2022/08/26 10:36:31 - mmengine - INFO - Epoch(train) [171][30/63] lr: 1.0000e-04 eta: 1 day, 4:52:16 time: 1.7811 data_time: 0.0971 memory: 28971 loss_text: 0.1674 loss_kernel: 0.0767 loss: 0.2442 2022/08/26 10:36:47 - mmengine - INFO - Epoch(train) [171][35/63] lr: 1.0000e-04 eta: 1 day, 4:52:16 time: 2.0452 data_time: 0.1481 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0664 loss: 0.2077 2022/08/26 10:36:52 - mmengine - INFO - Epoch(train) [171][40/63] lr: 1.0000e-04 eta: 1 day, 4:50:52 time: 2.0447 data_time: 0.1063 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0570 loss: 0.1775 2022/08/26 10:37:08 - mmengine - INFO - Epoch(train) [171][45/63] lr: 1.0000e-04 eta: 1 day, 4:50:52 time: 2.1104 data_time: 0.1253 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0684 loss: 0.2188 2022/08/26 10:37:13 - mmengine - INFO - Epoch(train) [171][50/63] lr: 1.0000e-04 eta: 1 day, 4:49:30 time: 2.0956 data_time: 0.1476 memory: 28971 loss_text: 0.1549 loss_kernel: 0.0699 loss: 0.2247 2022/08/26 10:37:25 - mmengine - INFO - Epoch(train) [171][55/63] lr: 1.0000e-04 eta: 1 day, 4:49:30 time: 1.7048 data_time: 0.0642 memory: 28971 loss_text: 0.1290 loss_kernel: 0.0595 loss: 0.1886 2022/08/26 10:37:31 - mmengine - INFO - Epoch(train) [171][60/63] lr: 1.0000e-04 eta: 1 day, 4:48:02 time: 1.8580 data_time: 0.1389 memory: 28971 loss_text: 0.1375 loss_kernel: 0.0626 loss: 0.2001 2022/08/26 10:37:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:39:33 - mmengine - INFO - Epoch(train) [172][5/63] lr: 1.0000e-04 eta: 1 day, 4:48:02 time: 12.3256 data_time: 9.1603 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0632 loss: 0.2031 2022/08/26 10:39:39 - mmengine - INFO - Epoch(train) [172][10/63] lr: 1.0000e-04 eta: 1 day, 4:49:44 time: 11.0740 data_time: 9.2135 memory: 28971 loss_text: 0.1417 loss_kernel: 0.0648 loss: 0.2065 2022/08/26 10:39:54 - mmengine - INFO - Epoch(train) [172][15/63] lr: 1.0000e-04 eta: 1 day, 4:49:44 time: 2.0528 data_time: 0.1899 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0603 loss: 0.1890 2022/08/26 10:40:12 - mmengine - INFO - Epoch(train) [172][20/63] lr: 1.0000e-04 eta: 1 day, 4:48:52 time: 3.2763 data_time: 0.4176 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0648 loss: 0.2038 2022/08/26 10:40:17 - mmengine - INFO - Epoch(train) [172][25/63] lr: 1.0000e-04 eta: 1 day, 4:48:52 time: 2.3285 data_time: 0.4141 memory: 28971 loss_text: 0.1588 loss_kernel: 0.0734 loss: 0.2322 2022/08/26 10:40:32 - mmengine - INFO - Epoch(train) [172][30/63] lr: 1.0000e-04 eta: 1 day, 4:47:27 time: 1.9955 data_time: 0.1359 memory: 28971 loss_text: 0.1711 loss_kernel: 0.0770 loss: 0.2481 2022/08/26 10:40:37 - mmengine - INFO - Epoch(train) [172][35/63] lr: 1.0000e-04 eta: 1 day, 4:47:27 time: 1.9912 data_time: 0.1240 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0720 loss: 0.2315 2022/08/26 10:40:53 - mmengine - INFO - Epoch(train) [172][40/63] lr: 1.0000e-04 eta: 1 day, 4:46:06 time: 2.1239 data_time: 0.1326 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0685 loss: 0.2165 2022/08/26 10:40:58 - mmengine - INFO - Epoch(train) [172][45/63] lr: 1.0000e-04 eta: 1 day, 4:46:06 time: 2.1047 data_time: 0.1221 memory: 28971 loss_text: 0.1516 loss_kernel: 0.0701 loss: 0.2217 2022/08/26 10:41:13 - mmengine - INFO - Epoch(train) [172][50/63] lr: 1.0000e-04 eta: 1 day, 4:44:41 time: 1.9802 data_time: 0.1240 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0665 loss: 0.2147 2022/08/26 10:41:18 - mmengine - INFO - Epoch(train) [172][55/63] lr: 1.0000e-04 eta: 1 day, 4:44:41 time: 1.9491 data_time: 0.1069 memory: 28971 loss_text: 0.1577 loss_kernel: 0.0699 loss: 0.2276 2022/08/26 10:41:35 - mmengine - INFO - Epoch(train) [172][60/63] lr: 1.0000e-04 eta: 1 day, 4:43:23 time: 2.2242 data_time: 0.1714 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0614 loss: 0.2011 2022/08/26 10:41:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:43:35 - mmengine - INFO - Epoch(train) [173][5/63] lr: 1.0000e-04 eta: 1 day, 4:43:23 time: 12.4148 data_time: 9.1734 memory: 28971 loss_text: 0.1698 loss_kernel: 0.0770 loss: 0.2468 2022/08/26 10:43:40 - mmengine - INFO - Epoch(train) [173][10/63] lr: 1.0000e-04 eta: 1 day, 4:44:59 time: 10.8737 data_time: 9.0618 memory: 28971 loss_text: 0.1685 loss_kernel: 0.0769 loss: 0.2454 2022/08/26 10:43:56 - mmengine - INFO - Epoch(train) [173][15/63] lr: 1.0000e-04 eta: 1 day, 4:44:59 time: 2.0859 data_time: 0.0788 memory: 28971 loss_text: 0.1524 loss_kernel: 0.0699 loss: 0.2223 2022/08/26 10:44:01 - mmengine - INFO - Epoch(train) [173][20/63] lr: 1.0000e-04 eta: 1 day, 4:43:37 time: 2.0678 data_time: 0.0924 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0667 loss: 0.2113 2022/08/26 10:44:12 - mmengine - INFO - Epoch(train) [173][25/63] lr: 1.0000e-04 eta: 1 day, 4:43:37 time: 1.6008 data_time: 0.0874 memory: 28971 loss_text: 0.1654 loss_kernel: 0.0759 loss: 0.2413 2022/08/26 10:44:25 - mmengine - INFO - Epoch(train) [173][30/63] lr: 1.0000e-04 eta: 1 day, 4:42:22 time: 2.3638 data_time: 0.0630 memory: 28971 loss_text: 0.1481 loss_kernel: 0.0680 loss: 0.2161 2022/08/26 10:44:33 - mmengine - INFO - Epoch(train) [173][35/63] lr: 1.0000e-04 eta: 1 day, 4:42:22 time: 2.1825 data_time: 0.1740 memory: 28971 loss_text: 0.1002 loss_kernel: 0.0471 loss: 0.1473 2022/08/26 10:44:49 - mmengine - INFO - Epoch(train) [173][40/63] lr: 1.0000e-04 eta: 1 day, 4:41:08 time: 2.4012 data_time: 0.1350 memory: 28971 loss_text: 0.1131 loss_kernel: 0.0527 loss: 0.1658 2022/08/26 10:44:53 - mmengine - INFO - Epoch(train) [173][45/63] lr: 1.0000e-04 eta: 1 day, 4:41:08 time: 1.9587 data_time: 0.0762 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0714 loss: 0.2264 2022/08/26 10:45:08 - mmengine - INFO - Epoch(train) [173][50/63] lr: 1.0000e-04 eta: 1 day, 4:39:43 time: 1.9322 data_time: 0.1057 memory: 28971 loss_text: 0.1648 loss_kernel: 0.0762 loss: 0.2410 2022/08/26 10:45:12 - mmengine - INFO - Epoch(train) [173][55/63] lr: 1.0000e-04 eta: 1 day, 4:39:43 time: 1.9342 data_time: 0.0998 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0644 loss: 0.2017 2022/08/26 10:45:25 - mmengine - INFO - Epoch(train) [173][60/63] lr: 1.0000e-04 eta: 1 day, 4:38:13 time: 1.7349 data_time: 0.0893 memory: 28971 loss_text: 0.1572 loss_kernel: 0.0722 loss: 0.2293 2022/08/26 10:45:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:47:03 - mmengine - INFO - Epoch(train) [174][5/63] lr: 1.0000e-04 eta: 1 day, 4:38:13 time: 10.7834 data_time: 8.7720 memory: 28971 loss_text: 0.1592 loss_kernel: 0.0709 loss: 0.2301 2022/08/26 10:47:08 - mmengine - INFO - Epoch(train) [174][10/63] lr: 1.0000e-04 eta: 1 day, 4:39:24 time: 9.9107 data_time: 8.7394 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0733 loss: 0.2344 2022/08/26 10:47:15 - mmengine - INFO - Epoch(train) [174][15/63] lr: 1.0000e-04 eta: 1 day, 4:39:24 time: 1.1597 data_time: 0.0467 memory: 28971 loss_text: 0.1736 loss_kernel: 0.0783 loss: 0.2519 2022/08/26 10:47:20 - mmengine - INFO - Epoch(train) [174][20/63] lr: 1.0000e-04 eta: 1 day, 4:37:40 time: 1.1733 data_time: 0.0447 memory: 28971 loss_text: 0.1515 loss_kernel: 0.0690 loss: 0.2205 2022/08/26 10:47:24 - mmengine - INFO - Epoch(train) [174][25/63] lr: 1.0000e-04 eta: 1 day, 4:37:40 time: 0.9423 data_time: 0.0527 memory: 28971 loss_text: 0.1593 loss_kernel: 0.0713 loss: 0.2306 2022/08/26 10:47:31 - mmengine - INFO - Epoch(train) [174][30/63] lr: 1.0000e-04 eta: 1 day, 4:35:56 time: 1.1400 data_time: 0.0231 memory: 28971 loss_text: 0.1568 loss_kernel: 0.0710 loss: 0.2279 2022/08/26 10:47:36 - mmengine - INFO - Epoch(train) [174][35/63] lr: 1.0000e-04 eta: 1 day, 4:35:56 time: 1.1909 data_time: 0.0494 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0570 loss: 0.1776 2022/08/26 10:47:41 - mmengine - INFO - Epoch(train) [174][40/63] lr: 1.0000e-04 eta: 1 day, 4:34:07 time: 0.9512 data_time: 0.0557 memory: 28971 loss_text: 0.1691 loss_kernel: 0.0753 loss: 0.2444 2022/08/26 10:47:46 - mmengine - INFO - Epoch(train) [174][45/63] lr: 1.0000e-04 eta: 1 day, 4:34:07 time: 0.9410 data_time: 0.0268 memory: 28971 loss_text: 0.1700 loss_kernel: 0.0763 loss: 0.2463 2022/08/26 10:47:51 - mmengine - INFO - Epoch(train) [174][50/63] lr: 1.0000e-04 eta: 1 day, 4:32:21 time: 1.0719 data_time: 0.0583 memory: 28971 loss_text: 0.1067 loss_kernel: 0.0500 loss: 0.1567 2022/08/26 10:47:57 - mmengine - INFO - Epoch(train) [174][55/63] lr: 1.0000e-04 eta: 1 day, 4:32:21 time: 1.1175 data_time: 0.0601 memory: 28971 loss_text: 0.1080 loss_kernel: 0.0504 loss: 0.1584 2022/08/26 10:48:01 - mmengine - INFO - Epoch(train) [174][60/63] lr: 1.0000e-04 eta: 1 day, 4:30:33 time: 0.9892 data_time: 0.0386 memory: 28971 loss_text: 0.1631 loss_kernel: 0.0749 loss: 0.2380 2022/08/26 10:48:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:49:41 - mmengine - INFO - Epoch(train) [175][5/63] lr: 1.0000e-04 eta: 1 day, 4:30:33 time: 10.0787 data_time: 8.4215 memory: 28971 loss_text: 0.1607 loss_kernel: 0.0727 loss: 0.2334 2022/08/26 10:49:45 - mmengine - INFO - Epoch(train) [175][10/63] lr: 1.0000e-04 eta: 1 day, 4:31:48 time: 10.0834 data_time: 8.4609 memory: 28971 loss_text: 0.1622 loss_kernel: 0.0738 loss: 0.2359 2022/08/26 10:50:05 - mmengine - INFO - Epoch(train) [175][15/63] lr: 1.0000e-04 eta: 1 day, 4:31:48 time: 2.4421 data_time: 0.2464 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0616 loss: 0.1920 2022/08/26 10:50:13 - mmengine - INFO - Epoch(train) [175][20/63] lr: 1.0000e-04 eta: 1 day, 4:30:44 time: 2.7495 data_time: 0.3132 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0642 loss: 0.2020 2022/08/26 10:50:29 - mmengine - INFO - Epoch(train) [175][25/63] lr: 1.0000e-04 eta: 1 day, 4:30:44 time: 2.3672 data_time: 0.1668 memory: 28971 loss_text: 0.1525 loss_kernel: 0.0683 loss: 0.2209 2022/08/26 10:50:41 - mmengine - INFO - Epoch(train) [175][30/63] lr: 1.0000e-04 eta: 1 day, 4:29:41 time: 2.8311 data_time: 0.0849 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0560 loss: 0.1834 2022/08/26 10:50:46 - mmengine - INFO - Epoch(train) [175][35/63] lr: 1.0000e-04 eta: 1 day, 4:29:41 time: 1.7730 data_time: 0.0966 memory: 28971 loss_text: 0.1160 loss_kernel: 0.0527 loss: 0.1687 2022/08/26 10:50:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:51:00 - mmengine - INFO - Epoch(train) [175][40/63] lr: 1.0000e-04 eta: 1 day, 4:28:15 time: 1.8704 data_time: 0.1194 memory: 28971 loss_text: 0.1516 loss_kernel: 0.0690 loss: 0.2206 2022/08/26 10:51:08 - mmengine - INFO - Epoch(train) [175][45/63] lr: 1.0000e-04 eta: 1 day, 4:28:15 time: 2.1674 data_time: 0.2304 memory: 28971 loss_text: 0.1993 loss_kernel: 0.0899 loss: 0.2893 2022/08/26 10:51:25 - mmengine - INFO - Epoch(train) [175][50/63] lr: 1.0000e-04 eta: 1 day, 4:27:03 time: 2.4275 data_time: 0.3168 memory: 28971 loss_text: 0.1773 loss_kernel: 0.0802 loss: 0.2576 2022/08/26 10:51:30 - mmengine - INFO - Epoch(train) [175][55/63] lr: 1.0000e-04 eta: 1 day, 4:27:03 time: 2.2357 data_time: 0.2300 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0753 loss: 0.2422 2022/08/26 10:51:48 - mmengine - INFO - Epoch(train) [175][60/63] lr: 1.0000e-04 eta: 1 day, 4:25:48 time: 2.3019 data_time: 0.2030 memory: 28971 loss_text: 0.1673 loss_kernel: 0.0769 loss: 0.2442 2022/08/26 10:52:06 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:53:52 - mmengine - INFO - Epoch(train) [176][5/63] lr: 1.0000e-04 eta: 1 day, 4:25:48 time: 12.6265 data_time: 9.6487 memory: 28971 loss_text: 0.1204 loss_kernel: 0.0576 loss: 0.1780 2022/08/26 10:53:57 - mmengine - INFO - Epoch(train) [176][10/63] lr: 1.0000e-04 eta: 1 day, 4:27:27 time: 11.1088 data_time: 9.5929 memory: 28971 loss_text: 0.1314 loss_kernel: 0.0598 loss: 0.1912 2022/08/26 10:54:19 - mmengine - INFO - Epoch(train) [176][15/63] lr: 1.0000e-04 eta: 1 day, 4:27:27 time: 2.6204 data_time: 0.0977 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0667 loss: 0.2171 2022/08/26 10:54:36 - mmengine - INFO - Epoch(train) [176][20/63] lr: 1.0000e-04 eta: 1 day, 4:26:50 time: 3.8919 data_time: 0.1538 memory: 28971 loss_text: 0.1313 loss_kernel: 0.0613 loss: 0.1926 2022/08/26 10:54:47 - mmengine - INFO - Epoch(train) [176][25/63] lr: 1.0000e-04 eta: 1 day, 4:26:50 time: 2.8308 data_time: 0.1725 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0586 loss: 0.1866 2022/08/26 10:54:56 - mmengine - INFO - Epoch(train) [176][30/63] lr: 1.0000e-04 eta: 1 day, 4:25:27 time: 1.9558 data_time: 0.1314 memory: 28971 loss_text: 0.1619 loss_kernel: 0.0719 loss: 0.2338 2022/08/26 10:55:07 - mmengine - INFO - Epoch(train) [176][35/63] lr: 1.0000e-04 eta: 1 day, 4:25:27 time: 1.9845 data_time: 0.1676 memory: 28971 loss_text: 0.1555 loss_kernel: 0.0717 loss: 0.2272 2022/08/26 10:55:19 - mmengine - INFO - Epoch(train) [176][40/63] lr: 1.0000e-04 eta: 1 day, 4:24:12 time: 2.2953 data_time: 0.2041 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0688 loss: 0.2143 2022/08/26 10:55:28 - mmengine - INFO - Epoch(train) [176][45/63] lr: 1.0000e-04 eta: 1 day, 4:24:12 time: 2.0934 data_time: 0.1542 memory: 28971 loss_text: 0.1586 loss_kernel: 0.0738 loss: 0.2324 2022/08/26 10:55:42 - mmengine - INFO - Epoch(train) [176][50/63] lr: 1.0000e-04 eta: 1 day, 4:22:56 time: 2.2701 data_time: 0.1631 memory: 28971 loss_text: 0.1657 loss_kernel: 0.0757 loss: 0.2414 2022/08/26 10:55:51 - mmengine - INFO - Epoch(train) [176][55/63] lr: 1.0000e-04 eta: 1 day, 4:22:56 time: 2.3635 data_time: 0.2304 memory: 28971 loss_text: 0.1751 loss_kernel: 0.0794 loss: 0.2545 2022/08/26 10:56:09 - mmengine - INFO - Epoch(train) [176][60/63] lr: 1.0000e-04 eta: 1 day, 4:21:51 time: 2.7255 data_time: 0.2649 memory: 28971 loss_text: 0.1719 loss_kernel: 0.0783 loss: 0.2502 2022/08/26 10:56:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 10:57:58 - mmengine - INFO - Epoch(train) [177][5/63] lr: 1.0000e-04 eta: 1 day, 4:21:51 time: 11.1028 data_time: 9.4418 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0542 loss: 0.1705 2022/08/26 10:58:03 - mmengine - INFO - Epoch(train) [177][10/63] lr: 1.0000e-04 eta: 1 day, 4:23:26 time: 10.9628 data_time: 9.3608 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0632 loss: 0.2011 2022/08/26 10:58:18 - mmengine - INFO - Epoch(train) [177][15/63] lr: 1.0000e-04 eta: 1 day, 4:23:26 time: 1.9845 data_time: 0.0929 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0662 loss: 0.2075 2022/08/26 10:58:22 - mmengine - INFO - Epoch(train) [177][20/63] lr: 1.0000e-04 eta: 1 day, 4:22:01 time: 1.9075 data_time: 0.0764 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0691 loss: 0.2181 2022/08/26 10:58:38 - mmengine - INFO - Epoch(train) [177][25/63] lr: 1.0000e-04 eta: 1 day, 4:22:01 time: 1.9923 data_time: 0.1382 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0737 loss: 0.2378 2022/08/26 10:58:42 - mmengine - INFO - Epoch(train) [177][30/63] lr: 1.0000e-04 eta: 1 day, 4:20:39 time: 2.0031 data_time: 0.1364 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0653 loss: 0.2061 2022/08/26 10:58:58 - mmengine - INFO - Epoch(train) [177][35/63] lr: 1.0000e-04 eta: 1 day, 4:20:39 time: 2.0588 data_time: 0.1124 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0644 loss: 0.2051 2022/08/26 10:59:03 - mmengine - INFO - Epoch(train) [177][40/63] lr: 1.0000e-04 eta: 1 day, 4:19:19 time: 2.0890 data_time: 0.1535 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0611 loss: 0.1945 2022/08/26 10:59:16 - mmengine - INFO - Epoch(train) [177][45/63] lr: 1.0000e-04 eta: 1 day, 4:19:19 time: 1.8345 data_time: 0.0939 memory: 28971 loss_text: 0.1116 loss_kernel: 0.0529 loss: 0.1644 2022/08/26 10:59:25 - mmengine - INFO - Epoch(train) [177][50/63] lr: 1.0000e-04 eta: 1 day, 4:18:03 time: 2.2441 data_time: 0.0870 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0643 loss: 0.2023 2022/08/26 10:59:30 - mmengine - INFO - Epoch(train) [177][55/63] lr: 1.0000e-04 eta: 1 day, 4:18:03 time: 1.3544 data_time: 0.0893 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0679 loss: 0.2135 2022/08/26 10:59:50 - mmengine - INFO - Epoch(train) [177][60/63] lr: 1.0000e-04 eta: 1 day, 4:16:51 time: 2.3829 data_time: 0.0827 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0590 loss: 0.1866 2022/08/26 10:59:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:01:37 - mmengine - INFO - Epoch(train) [178][5/63] lr: 1.0000e-04 eta: 1 day, 4:16:51 time: 10.9723 data_time: 9.4355 memory: 28971 loss_text: 0.1602 loss_kernel: 0.0728 loss: 0.2331 2022/08/26 11:01:42 - mmengine - INFO - Epoch(train) [178][10/63] lr: 1.0000e-04 eta: 1 day, 4:18:24 time: 10.9340 data_time: 9.3885 memory: 28971 loss_text: 0.1654 loss_kernel: 0.0738 loss: 0.2392 2022/08/26 11:01:56 - mmengine - INFO - Epoch(train) [178][15/63] lr: 1.0000e-04 eta: 1 day, 4:18:24 time: 1.8418 data_time: 0.0863 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0764 loss: 0.2436 2022/08/26 11:02:05 - mmengine - INFO - Epoch(train) [178][20/63] lr: 1.0000e-04 eta: 1 day, 4:17:08 time: 2.2469 data_time: 0.1216 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0667 loss: 0.2083 2022/08/26 11:02:14 - mmengine - INFO - Epoch(train) [178][25/63] lr: 1.0000e-04 eta: 1 day, 4:17:08 time: 1.8172 data_time: 0.1176 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0642 loss: 0.2028 2022/08/26 11:02:27 - mmengine - INFO - Epoch(train) [178][30/63] lr: 1.0000e-04 eta: 1 day, 4:15:52 time: 2.2392 data_time: 0.1007 memory: 28971 loss_text: 0.1663 loss_kernel: 0.0766 loss: 0.2429 2022/08/26 11:02:38 - mmengine - INFO - Epoch(train) [178][35/63] lr: 1.0000e-04 eta: 1 day, 4:15:52 time: 2.3580 data_time: 0.1485 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0624 loss: 0.1933 2022/08/26 11:02:51 - mmengine - INFO - Epoch(train) [178][40/63] lr: 1.0000e-04 eta: 1 day, 4:14:39 time: 2.3849 data_time: 0.1411 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0651 loss: 0.2032 2022/08/26 11:02:56 - mmengine - INFO - Epoch(train) [178][45/63] lr: 1.0000e-04 eta: 1 day, 4:14:39 time: 1.8357 data_time: 0.1115 memory: 28971 loss_text: 0.1630 loss_kernel: 0.0765 loss: 0.2395 2022/08/26 11:03:12 - mmengine - INFO - Epoch(train) [178][50/63] lr: 1.0000e-04 eta: 1 day, 4:13:19 time: 2.0354 data_time: 0.0823 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0739 loss: 0.2360 2022/08/26 11:03:19 - mmengine - INFO - Epoch(train) [178][55/63] lr: 1.0000e-04 eta: 1 day, 4:13:19 time: 2.3032 data_time: 0.1326 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0617 loss: 0.1969 2022/08/26 11:03:32 - mmengine - INFO - Epoch(train) [178][60/63] lr: 1.0000e-04 eta: 1 day, 4:11:59 time: 2.0524 data_time: 0.1918 memory: 28971 loss_text: 0.1263 loss_kernel: 0.0584 loss: 0.1847 2022/08/26 11:03:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:05:30 - mmengine - INFO - Epoch(train) [179][5/63] lr: 1.0000e-04 eta: 1 day, 4:11:59 time: 12.2213 data_time: 10.1829 memory: 28971 loss_text: 0.1760 loss_kernel: 0.0802 loss: 0.2562 2022/08/26 11:05:36 - mmengine - INFO - Epoch(train) [179][10/63] lr: 1.0000e-04 eta: 1 day, 4:13:56 time: 11.9995 data_time: 10.1307 memory: 28971 loss_text: 0.1918 loss_kernel: 0.0857 loss: 0.2775 2022/08/26 11:05:57 - mmengine - INFO - Epoch(train) [179][15/63] lr: 1.0000e-04 eta: 1 day, 4:13:56 time: 2.6947 data_time: 0.1253 memory: 28971 loss_text: 0.1665 loss_kernel: 0.0749 loss: 0.2414 2022/08/26 11:06:02 - mmengine - INFO - Epoch(train) [179][20/63] lr: 1.0000e-04 eta: 1 day, 4:12:49 time: 2.6367 data_time: 0.1622 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0628 loss: 0.2003 2022/08/26 11:06:22 - mmengine - INFO - Epoch(train) [179][25/63] lr: 1.0000e-04 eta: 1 day, 4:12:49 time: 2.4410 data_time: 0.2833 memory: 28971 loss_text: 0.1868 loss_kernel: 0.0836 loss: 0.2704 2022/08/26 11:06:26 - mmengine - INFO - Epoch(train) [179][30/63] lr: 1.0000e-04 eta: 1 day, 4:11:37 time: 2.3786 data_time: 0.2391 memory: 28971 loss_text: 0.1830 loss_kernel: 0.0818 loss: 0.2648 2022/08/26 11:06:45 - mmengine - INFO - Epoch(train) [179][35/63] lr: 1.0000e-04 eta: 1 day, 4:11:37 time: 2.2960 data_time: 0.1776 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0620 loss: 0.1968 2022/08/26 11:06:52 - mmengine - INFO - Epoch(train) [179][40/63] lr: 1.0000e-04 eta: 1 day, 4:10:29 time: 2.5635 data_time: 0.1548 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0652 loss: 0.2063 2022/08/26 11:07:04 - mmengine - INFO - Epoch(train) [179][45/63] lr: 1.0000e-04 eta: 1 day, 4:10:29 time: 1.9983 data_time: 0.1269 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0638 loss: 0.2021 2022/08/26 11:07:20 - mmengine - INFO - Epoch(train) [179][50/63] lr: 1.0000e-04 eta: 1 day, 4:09:27 time: 2.7999 data_time: 0.1764 memory: 28971 loss_text: 0.1242 loss_kernel: 0.0587 loss: 0.1829 2022/08/26 11:07:27 - mmengine - INFO - Epoch(train) [179][55/63] lr: 1.0000e-04 eta: 1 day, 4:09:27 time: 2.3101 data_time: 0.1353 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0625 loss: 0.1988 2022/08/26 11:07:39 - mmengine - INFO - Epoch(train) [179][60/63] lr: 1.0000e-04 eta: 1 day, 4:08:02 time: 1.8543 data_time: 0.1664 memory: 28971 loss_text: 0.1622 loss_kernel: 0.0731 loss: 0.2352 2022/08/26 11:07:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:09:26 - mmengine - INFO - Epoch(train) [180][5/63] lr: 1.0000e-04 eta: 1 day, 4:08:02 time: 10.9231 data_time: 9.0844 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0660 loss: 0.2083 2022/08/26 11:09:31 - mmengine - INFO - Epoch(train) [180][10/63] lr: 1.0000e-04 eta: 1 day, 4:09:31 time: 10.8691 data_time: 9.0884 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0609 loss: 0.1943 2022/08/26 11:09:45 - mmengine - INFO - Epoch(train) [180][15/63] lr: 1.0000e-04 eta: 1 day, 4:09:31 time: 1.8304 data_time: 0.1106 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0623 loss: 0.1992 2022/08/26 11:09:50 - mmengine - INFO - Epoch(train) [180][20/63] lr: 1.0000e-04 eta: 1 day, 4:08:07 time: 1.8368 data_time: 0.0978 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0623 loss: 0.1962 2022/08/26 11:10:05 - mmengine - INFO - Epoch(train) [180][25/63] lr: 1.0000e-04 eta: 1 day, 4:08:07 time: 2.0398 data_time: 0.0747 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0571 loss: 0.1801 2022/08/26 11:10:24 - mmengine - INFO - Epoch(train) [180][30/63] lr: 1.0000e-04 eta: 1 day, 4:07:20 time: 3.4487 data_time: 0.1280 memory: 28971 loss_text: 0.1449 loss_kernel: 0.0659 loss: 0.2108 2022/08/26 11:10:29 - mmengine - INFO - Epoch(train) [180][35/63] lr: 1.0000e-04 eta: 1 day, 4:07:20 time: 2.4102 data_time: 0.1614 memory: 28971 loss_text: 0.1533 loss_kernel: 0.0705 loss: 0.2238 2022/08/26 11:10:44 - mmengine - INFO - Epoch(train) [180][40/63] lr: 1.0000e-04 eta: 1 day, 4:05:58 time: 1.9729 data_time: 0.0830 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0666 loss: 0.2081 2022/08/26 11:10:49 - mmengine - INFO - Epoch(train) [180][45/63] lr: 1.0000e-04 eta: 1 day, 4:05:58 time: 2.0142 data_time: 0.0947 memory: 28971 loss_text: 0.1656 loss_kernel: 0.0765 loss: 0.2421 2022/08/26 11:10:54 - mmengine - INFO - Epoch(train) [180][50/63] lr: 1.0000e-04 eta: 1 day, 4:04:14 time: 1.0025 data_time: 0.0971 memory: 28971 loss_text: 0.1872 loss_kernel: 0.0850 loss: 0.2723 2022/08/26 11:11:18 - mmengine - INFO - Epoch(train) [180][55/63] lr: 1.0000e-04 eta: 1 day, 4:04:14 time: 2.9004 data_time: 0.1469 memory: 28971 loss_text: 0.1592 loss_kernel: 0.0733 loss: 0.2325 2022/08/26 11:11:32 - mmengine - INFO - Epoch(train) [180][60/63] lr: 1.0000e-04 eta: 1 day, 4:03:34 time: 3.7316 data_time: 0.1668 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0682 loss: 0.2119 2022/08/26 11:11:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:11:40 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/26 11:13:34 - mmengine - INFO - Epoch(train) [181][5/63] lr: 1.0000e-04 eta: 1 day, 4:03:34 time: 12.5554 data_time: 9.5181 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0636 loss: 0.1983 2022/08/26 11:13:39 - mmengine - INFO - Epoch(train) [181][10/63] lr: 1.0000e-04 eta: 1 day, 4:05:09 time: 11.1945 data_time: 9.3826 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0644 loss: 0.2034 2022/08/26 11:13:58 - mmengine - INFO - Epoch(train) [181][15/63] lr: 1.0000e-04 eta: 1 day, 4:05:09 time: 2.4691 data_time: 0.1701 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0632 loss: 0.1993 2022/08/26 11:14:03 - mmengine - INFO - Epoch(train) [181][20/63] lr: 1.0000e-04 eta: 1 day, 4:03:59 time: 2.4471 data_time: 0.1767 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0587 loss: 0.1846 2022/08/26 11:14:20 - mmengine - INFO - Epoch(train) [181][25/63] lr: 1.0000e-04 eta: 1 day, 4:03:59 time: 2.1924 data_time: 0.0716 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0672 loss: 0.2094 2022/08/26 11:14:26 - mmengine - INFO - Epoch(train) [181][30/63] lr: 1.0000e-04 eta: 1 day, 4:02:44 time: 2.2319 data_time: 0.0724 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0732 loss: 0.2298 2022/08/26 11:14:43 - mmengine - INFO - Epoch(train) [181][35/63] lr: 1.0000e-04 eta: 1 day, 4:02:44 time: 2.2919 data_time: 0.1580 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0606 loss: 0.1887 2022/08/26 11:14:48 - mmengine - INFO - Epoch(train) [181][40/63] lr: 1.0000e-04 eta: 1 day, 4:01:30 time: 2.2595 data_time: 0.1416 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0620 loss: 0.1925 2022/08/26 11:15:06 - mmengine - INFO - Epoch(train) [181][45/63] lr: 1.0000e-04 eta: 1 day, 4:01:30 time: 2.2833 data_time: 0.1237 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0715 loss: 0.2268 2022/08/26 11:15:11 - mmengine - INFO - Epoch(train) [181][50/63] lr: 1.0000e-04 eta: 1 day, 4:00:15 time: 2.2402 data_time: 0.1199 memory: 28971 loss_text: 0.1313 loss_kernel: 0.0611 loss: 0.1924 2022/08/26 11:15:30 - mmengine - INFO - Epoch(train) [181][55/63] lr: 1.0000e-04 eta: 1 day, 4:00:15 time: 2.3897 data_time: 0.0932 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0570 loss: 0.1799 2022/08/26 11:15:35 - mmengine - INFO - Epoch(train) [181][60/63] lr: 1.0000e-04 eta: 1 day, 3:59:04 time: 2.3968 data_time: 0.1217 memory: 28971 loss_text: 0.1540 loss_kernel: 0.0687 loss: 0.2227 2022/08/26 11:15:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:17:38 - mmengine - INFO - Epoch(train) [182][5/63] lr: 1.0000e-04 eta: 1 day, 3:59:04 time: 12.4662 data_time: 9.5820 memory: 28971 loss_text: 0.1579 loss_kernel: 0.0716 loss: 0.2295 2022/08/26 11:17:44 - mmengine - INFO - Epoch(train) [182][10/63] lr: 1.0000e-04 eta: 1 day, 4:00:43 time: 11.3948 data_time: 9.5556 memory: 28971 loss_text: 0.1617 loss_kernel: 0.0732 loss: 0.2349 2022/08/26 11:18:01 - mmengine - INFO - Epoch(train) [182][15/63] lr: 1.0000e-04 eta: 1 day, 4:00:43 time: 2.2899 data_time: 0.1436 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0593 loss: 0.1876 2022/08/26 11:18:06 - mmengine - INFO - Epoch(train) [182][20/63] lr: 1.0000e-04 eta: 1 day, 3:59:27 time: 2.1887 data_time: 0.1429 memory: 28971 loss_text: 0.1393 loss_kernel: 0.0656 loss: 0.2048 2022/08/26 11:18:24 - mmengine - INFO - Epoch(train) [182][25/63] lr: 1.0000e-04 eta: 1 day, 3:59:27 time: 2.2945 data_time: 0.1360 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0647 loss: 0.2016 2022/08/26 11:18:29 - mmengine - INFO - Epoch(train) [182][30/63] lr: 1.0000e-04 eta: 1 day, 3:58:13 time: 2.2786 data_time: 0.1246 memory: 28971 loss_text: 0.1427 loss_kernel: 0.0653 loss: 0.2079 2022/08/26 11:18:45 - mmengine - INFO - Epoch(train) [182][35/63] lr: 1.0000e-04 eta: 1 day, 3:58:13 time: 2.0390 data_time: 0.1226 memory: 28971 loss_text: 0.1814 loss_kernel: 0.0804 loss: 0.2619 2022/08/26 11:18:50 - mmengine - INFO - Epoch(train) [182][40/63] lr: 1.0000e-04 eta: 1 day, 3:56:55 time: 2.0965 data_time: 0.1434 memory: 28971 loss_text: 0.1776 loss_kernel: 0.0795 loss: 0.2571 2022/08/26 11:19:07 - mmengine - INFO - Epoch(train) [182][45/63] lr: 1.0000e-04 eta: 1 day, 3:56:55 time: 2.2443 data_time: 0.1193 memory: 28971 loss_text: 0.1626 loss_kernel: 0.0750 loss: 0.2376 2022/08/26 11:19:11 - mmengine - INFO - Epoch(train) [182][50/63] lr: 1.0000e-04 eta: 1 day, 3:55:39 time: 2.1739 data_time: 0.1047 memory: 28971 loss_text: 0.1583 loss_kernel: 0.0735 loss: 0.2318 2022/08/26 11:19:32 - mmengine - INFO - Epoch(train) [182][55/63] lr: 1.0000e-04 eta: 1 day, 3:55:39 time: 2.4746 data_time: 0.1390 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0739 loss: 0.2347 2022/08/26 11:19:37 - mmengine - INFO - Epoch(train) [182][60/63] lr: 1.0000e-04 eta: 1 day, 3:54:33 time: 2.5820 data_time: 0.1586 memory: 28971 loss_text: 0.1763 loss_kernel: 0.0788 loss: 0.2551 2022/08/26 11:19:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:21:44 - mmengine - INFO - Epoch(train) [183][5/63] lr: 1.0000e-04 eta: 1 day, 3:54:33 time: 12.7500 data_time: 9.4616 memory: 28971 loss_text: 0.1783 loss_kernel: 0.0815 loss: 0.2598 2022/08/26 11:21:49 - mmengine - INFO - Epoch(train) [183][10/63] lr: 1.0000e-04 eta: 1 day, 3:56:11 time: 11.4149 data_time: 9.4898 memory: 28971 loss_text: 0.1576 loss_kernel: 0.0722 loss: 0.2298 2022/08/26 11:22:06 - mmengine - INFO - Epoch(train) [183][15/63] lr: 1.0000e-04 eta: 1 day, 3:56:11 time: 2.2452 data_time: 0.1781 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0661 loss: 0.2111 2022/08/26 11:22:24 - mmengine - INFO - Epoch(train) [183][20/63] lr: 1.0000e-04 eta: 1 day, 3:55:25 time: 3.4857 data_time: 0.2502 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0637 loss: 0.2050 2022/08/26 11:22:29 - mmengine - INFO - Epoch(train) [183][25/63] lr: 1.0000e-04 eta: 1 day, 3:55:25 time: 2.3375 data_time: 0.1529 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0658 loss: 0.2134 2022/08/26 11:22:44 - mmengine - INFO - Epoch(train) [183][30/63] lr: 1.0000e-04 eta: 1 day, 3:54:04 time: 1.9180 data_time: 0.2241 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0580 loss: 0.1849 2022/08/26 11:22:49 - mmengine - INFO - Epoch(train) [183][35/63] lr: 1.0000e-04 eta: 1 day, 3:54:04 time: 1.9745 data_time: 0.2673 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0564 loss: 0.1766 2022/08/26 11:23:03 - mmengine - INFO - Epoch(train) [183][40/63] lr: 1.0000e-04 eta: 1 day, 3:52:43 time: 1.9510 data_time: 0.1155 memory: 28971 loss_text: 0.1546 loss_kernel: 0.0696 loss: 0.2242 2022/08/26 11:23:15 - mmengine - INFO - Epoch(train) [183][45/63] lr: 1.0000e-04 eta: 1 day, 3:52:43 time: 2.6411 data_time: 0.1244 memory: 28971 loss_text: 0.1716 loss_kernel: 0.0763 loss: 0.2478 2022/08/26 11:23:32 - mmengine - INFO - Epoch(train) [183][50/63] lr: 1.0000e-04 eta: 1 day, 3:51:43 time: 2.8829 data_time: 0.1304 memory: 28971 loss_text: 0.1447 loss_kernel: 0.0635 loss: 0.2083 2022/08/26 11:23:39 - mmengine - INFO - Epoch(train) [183][55/63] lr: 1.0000e-04 eta: 1 day, 3:51:43 time: 2.3580 data_time: 0.1276 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0550 loss: 0.1771 2022/08/26 11:23:55 - mmengine - INFO - Epoch(train) [183][60/63] lr: 1.0000e-04 eta: 1 day, 3:50:31 time: 2.3227 data_time: 0.1950 memory: 28971 loss_text: 0.1526 loss_kernel: 0.0703 loss: 0.2228 2022/08/26 11:23:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:26:02 - mmengine - INFO - Epoch(train) [184][5/63] lr: 1.0000e-04 eta: 1 day, 3:50:31 time: 12.7978 data_time: 9.6169 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0717 loss: 0.2305 2022/08/26 11:26:24 - mmengine - INFO - Epoch(train) [184][10/63] lr: 1.0000e-04 eta: 1 day, 3:53:20 time: 14.5498 data_time: 9.6826 memory: 28971 loss_text: 0.1438 loss_kernel: 0.0653 loss: 0.2091 2022/08/26 11:26:30 - mmengine - INFO - Epoch(train) [184][15/63] lr: 1.0000e-04 eta: 1 day, 3:53:20 time: 2.8019 data_time: 0.2166 memory: 28971 loss_text: 0.1075 loss_kernel: 0.0499 loss: 0.1574 2022/08/26 11:26:53 - mmengine - INFO - Epoch(train) [184][20/63] lr: 1.0000e-04 eta: 1 day, 3:52:20 time: 2.8769 data_time: 0.1075 memory: 28971 loss_text: 0.1084 loss_kernel: 0.0505 loss: 0.1588 2022/08/26 11:27:16 - mmengine - INFO - Epoch(train) [184][25/63] lr: 1.0000e-04 eta: 1 day, 3:52:20 time: 4.6354 data_time: 0.2187 memory: 28971 loss_text: 0.1428 loss_kernel: 0.0655 loss: 0.2083 2022/08/26 11:27:21 - mmengine - INFO - Epoch(train) [184][30/63] lr: 1.0000e-04 eta: 1 day, 3:51:20 time: 2.8472 data_time: 0.3177 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0694 loss: 0.2198 2022/08/26 11:27:42 - mmengine - INFO - Epoch(train) [184][35/63] lr: 1.0000e-04 eta: 1 day, 3:51:20 time: 2.5803 data_time: 0.1767 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0695 loss: 0.2199 2022/08/26 11:28:01 - mmengine - INFO - Epoch(train) [184][40/63] lr: 1.0000e-04 eta: 1 day, 3:50:43 time: 3.8915 data_time: 0.1312 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0649 loss: 0.2048 2022/08/26 11:28:06 - mmengine - INFO - Epoch(train) [184][45/63] lr: 1.0000e-04 eta: 1 day, 3:50:43 time: 2.4044 data_time: 0.1818 memory: 28971 loss_text: 0.1523 loss_kernel: 0.0702 loss: 0.2225 2022/08/26 11:28:23 - mmengine - INFO - Epoch(train) [184][50/63] lr: 1.0000e-04 eta: 1 day, 3:49:29 time: 2.2183 data_time: 0.1805 memory: 28971 loss_text: 0.1722 loss_kernel: 0.0782 loss: 0.2504 2022/08/26 11:28:45 - mmengine - INFO - Epoch(train) [184][55/63] lr: 1.0000e-04 eta: 1 day, 3:49:29 time: 3.9468 data_time: 0.2351 memory: 28971 loss_text: 0.1548 loss_kernel: 0.0703 loss: 0.2251 2022/08/26 11:29:17 - mmengine - INFO - Epoch(train) [184][60/63] lr: 1.0000e-04 eta: 1 day, 3:49:27 time: 5.4367 data_time: 0.2733 memory: 28971 loss_text: 0.1717 loss_kernel: 0.0776 loss: 0.2493 2022/08/26 11:29:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:31:07 - mmengine - INFO - Epoch(train) [185][5/63] lr: 1.0000e-04 eta: 1 day, 3:49:27 time: 11.8907 data_time: 9.4517 memory: 28971 loss_text: 0.1224 loss_kernel: 0.0570 loss: 0.1794 2022/08/26 11:31:12 - mmengine - INFO - Epoch(train) [185][10/63] lr: 1.0000e-04 eta: 1 day, 3:50:56 time: 11.1088 data_time: 9.4365 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0614 loss: 0.1911 2022/08/26 11:31:25 - mmengine - INFO - Epoch(train) [185][15/63] lr: 1.0000e-04 eta: 1 day, 3:50:56 time: 1.8822 data_time: 0.0863 memory: 28971 loss_text: 0.1426 loss_kernel: 0.0649 loss: 0.2076 2022/08/26 11:31:30 - mmengine - INFO - Epoch(train) [185][20/63] lr: 1.0000e-04 eta: 1 day, 3:49:32 time: 1.7902 data_time: 0.0579 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0673 loss: 0.2163 2022/08/26 11:31:36 - mmengine - INFO - Epoch(train) [185][25/63] lr: 1.0000e-04 eta: 1 day, 3:49:32 time: 1.0698 data_time: 0.0341 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0741 loss: 0.2348 2022/08/26 11:31:43 - mmengine - INFO - Epoch(train) [185][30/63] lr: 1.0000e-04 eta: 1 day, 3:47:57 time: 1.3136 data_time: 0.0365 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0625 loss: 0.1951 2022/08/26 11:31:51 - mmengine - INFO - Epoch(train) [185][35/63] lr: 1.0000e-04 eta: 1 day, 3:47:57 time: 1.4422 data_time: 0.0628 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0590 loss: 0.1888 2022/08/26 11:31:55 - mmengine - INFO - Epoch(train) [185][40/63] lr: 1.0000e-04 eta: 1 day, 3:46:20 time: 1.2220 data_time: 0.0483 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0568 loss: 0.1829 2022/08/26 11:32:02 - mmengine - INFO - Epoch(train) [185][45/63] lr: 1.0000e-04 eta: 1 day, 3:46:20 time: 1.1470 data_time: 0.0447 memory: 28971 loss_text: 0.1237 loss_kernel: 0.0572 loss: 0.1809 2022/08/26 11:32:08 - mmengine - INFO - Epoch(train) [185][50/63] lr: 1.0000e-04 eta: 1 day, 3:44:44 time: 1.2383 data_time: 0.0623 memory: 28971 loss_text: 0.1646 loss_kernel: 0.0751 loss: 0.2397 2022/08/26 11:32:13 - mmengine - INFO - Epoch(train) [185][55/63] lr: 1.0000e-04 eta: 1 day, 3:44:44 time: 1.0552 data_time: 0.0362 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0618 loss: 0.1945 2022/08/26 11:32:20 - mmengine - INFO - Epoch(train) [185][60/63] lr: 1.0000e-04 eta: 1 day, 3:43:08 time: 1.2367 data_time: 0.0397 memory: 28971 loss_text: 0.1114 loss_kernel: 0.0494 loss: 0.1608 2022/08/26 11:32:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:33:59 - mmengine - INFO - Epoch(train) [186][5/63] lr: 1.0000e-04 eta: 1 day, 3:43:08 time: 10.3013 data_time: 8.5435 memory: 28971 loss_text: 0.1620 loss_kernel: 0.0736 loss: 0.2356 2022/08/26 11:34:03 - mmengine - INFO - Epoch(train) [186][10/63] lr: 1.0000e-04 eta: 1 day, 3:44:10 time: 9.9318 data_time: 8.5503 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0733 loss: 0.2329 2022/08/26 11:34:11 - mmengine - INFO - Epoch(train) [186][15/63] lr: 1.0000e-04 eta: 1 day, 3:44:10 time: 1.1838 data_time: 0.0671 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0768 loss: 0.2440 2022/08/26 11:34:15 - mmengine - INFO - Epoch(train) [186][20/63] lr: 1.0000e-04 eta: 1 day, 3:42:33 time: 1.1937 data_time: 0.0729 memory: 28971 loss_text: 0.1574 loss_kernel: 0.0723 loss: 0.2297 2022/08/26 11:34:22 - mmengine - INFO - Epoch(train) [186][25/63] lr: 1.0000e-04 eta: 1 day, 3:42:33 time: 1.1354 data_time: 0.0858 memory: 28971 loss_text: 0.1562 loss_kernel: 0.0708 loss: 0.2270 2022/08/26 11:34:30 - mmengine - INFO - Epoch(train) [186][30/63] lr: 1.0000e-04 eta: 1 day, 3:41:02 time: 1.4521 data_time: 0.0836 memory: 28971 loss_text: 0.1663 loss_kernel: 0.0742 loss: 0.2405 2022/08/26 11:34:35 - mmengine - INFO - Epoch(train) [186][35/63] lr: 1.0000e-04 eta: 1 day, 3:41:02 time: 1.3113 data_time: 0.0549 memory: 28971 loss_text: 0.1532 loss_kernel: 0.0700 loss: 0.2232 2022/08/26 11:34:40 - mmengine - INFO - Epoch(train) [186][40/63] lr: 1.0000e-04 eta: 1 day, 3:39:20 time: 0.9840 data_time: 0.0440 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0585 loss: 0.1816 2022/08/26 11:34:51 - mmengine - INFO - Epoch(train) [186][45/63] lr: 1.0000e-04 eta: 1 day, 3:39:20 time: 1.5507 data_time: 0.0563 memory: 28971 loss_text: 0.1101 loss_kernel: 0.0523 loss: 0.1624 2022/08/26 11:34:56 - mmengine - INFO - Epoch(train) [186][50/63] lr: 1.0000e-04 eta: 1 day, 3:37:52 time: 1.5889 data_time: 0.0749 memory: 28971 loss_text: 0.1449 loss_kernel: 0.0674 loss: 0.2123 2022/08/26 11:35:07 - mmengine - INFO - Epoch(train) [186][55/63] lr: 1.0000e-04 eta: 1 day, 3:37:52 time: 1.5913 data_time: 0.0541 memory: 28971 loss_text: 0.1397 loss_kernel: 0.0651 loss: 0.2048 2022/08/26 11:35:11 - mmengine - INFO - Epoch(train) [186][60/63] lr: 1.0000e-04 eta: 1 day, 3:36:24 time: 1.5599 data_time: 0.0513 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0612 loss: 0.1950 2022/08/26 11:35:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:36:59 - mmengine - INFO - Epoch(train) [187][5/63] lr: 1.0000e-04 eta: 1 day, 3:36:24 time: 10.8882 data_time: 9.1982 memory: 28971 loss_text: 0.1989 loss_kernel: 0.0888 loss: 0.2877 2022/08/26 11:37:04 - mmengine - INFO - Epoch(train) [187][10/63] lr: 1.0000e-04 eta: 1 day, 3:37:50 time: 11.0635 data_time: 9.2892 memory: 28971 loss_text: 0.1511 loss_kernel: 0.0690 loss: 0.2201 2022/08/26 11:37:21 - mmengine - INFO - Epoch(train) [187][15/63] lr: 1.0000e-04 eta: 1 day, 3:37:50 time: 2.1815 data_time: 0.1567 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0601 loss: 0.1895 2022/08/26 11:37:27 - mmengine - INFO - Epoch(train) [187][20/63] lr: 1.0000e-04 eta: 1 day, 3:36:37 time: 2.2380 data_time: 0.1201 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0603 loss: 0.1870 2022/08/26 11:37:44 - mmengine - INFO - Epoch(train) [187][25/63] lr: 1.0000e-04 eta: 1 day, 3:36:37 time: 2.3103 data_time: 0.1901 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0663 loss: 0.2035 2022/08/26 11:38:01 - mmengine - INFO - Epoch(train) [187][30/63] lr: 1.0000e-04 eta: 1 day, 3:35:49 time: 3.3625 data_time: 0.1725 memory: 28971 loss_text: 0.1709 loss_kernel: 0.0769 loss: 0.2478 2022/08/26 11:38:07 - mmengine - INFO - Epoch(train) [187][35/63] lr: 1.0000e-04 eta: 1 day, 3:35:49 time: 2.4006 data_time: 0.2022 memory: 28971 loss_text: 0.1626 loss_kernel: 0.0717 loss: 0.2343 2022/08/26 11:38:24 - mmengine - INFO - Epoch(train) [187][40/63] lr: 1.0000e-04 eta: 1 day, 3:34:39 time: 2.3526 data_time: 0.1855 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0749 loss: 0.2398 2022/08/26 11:38:40 - mmengine - INFO - Epoch(train) [187][45/63] lr: 1.0000e-04 eta: 1 day, 3:34:39 time: 3.2086 data_time: 0.1470 memory: 28971 loss_text: 0.1562 loss_kernel: 0.0687 loss: 0.2249 2022/08/26 11:38:50 - mmengine - INFO - Epoch(train) [187][50/63] lr: 1.0000e-04 eta: 1 day, 3:33:35 time: 2.6449 data_time: 0.2673 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0570 loss: 0.1880 2022/08/26 11:39:03 - mmengine - INFO - Epoch(train) [187][55/63] lr: 1.0000e-04 eta: 1 day, 3:33:35 time: 2.2684 data_time: 0.1719 memory: 28971 loss_text: 0.1567 loss_kernel: 0.0699 loss: 0.2266 2022/08/26 11:39:30 - mmengine - INFO - Epoch(train) [187][60/63] lr: 1.0000e-04 eta: 1 day, 3:32:59 time: 3.9035 data_time: 0.3000 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0717 loss: 0.2326 2022/08/26 11:39:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:41:21 - mmengine - INFO - Epoch(train) [188][5/63] lr: 1.0000e-04 eta: 1 day, 3:32:59 time: 12.9415 data_time: 9.5272 memory: 28971 loss_text: 0.1546 loss_kernel: 0.0697 loss: 0.2243 2022/08/26 11:41:27 - mmengine - INFO - Epoch(train) [188][10/63] lr: 1.0000e-04 eta: 1 day, 3:34:31 time: 11.3888 data_time: 9.4816 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0628 loss: 0.2026 2022/08/26 11:41:41 - mmengine - INFO - Epoch(train) [188][15/63] lr: 1.0000e-04 eta: 1 day, 3:34:31 time: 1.9600 data_time: 0.1206 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0573 loss: 0.1837 2022/08/26 11:41:52 - mmengine - INFO - Epoch(train) [188][20/63] lr: 1.0000e-04 eta: 1 day, 3:33:23 time: 2.4765 data_time: 0.1359 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0613 loss: 0.1986 2022/08/26 11:42:03 - mmengine - INFO - Epoch(train) [188][25/63] lr: 1.0000e-04 eta: 1 day, 3:33:23 time: 2.2506 data_time: 0.2479 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0636 loss: 0.2060 2022/08/26 11:42:20 - mmengine - INFO - Epoch(train) [188][30/63] lr: 1.0000e-04 eta: 1 day, 3:32:23 time: 2.8004 data_time: 0.2762 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0623 loss: 0.1950 2022/08/26 11:42:26 - mmengine - INFO - Epoch(train) [188][35/63] lr: 1.0000e-04 eta: 1 day, 3:32:23 time: 2.2627 data_time: 0.2012 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0579 loss: 0.1806 2022/08/26 11:42:42 - mmengine - INFO - Epoch(train) [188][40/63] lr: 1.0000e-04 eta: 1 day, 3:31:10 time: 2.2318 data_time: 0.1788 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0570 loss: 0.1809 2022/08/26 11:43:00 - mmengine - INFO - Epoch(train) [188][45/63] lr: 1.0000e-04 eta: 1 day, 3:31:10 time: 3.3411 data_time: 0.2078 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0601 loss: 0.1908 2022/08/26 11:43:05 - mmengine - INFO - Epoch(train) [188][50/63] lr: 1.0000e-04 eta: 1 day, 3:29:58 time: 2.2583 data_time: 0.2060 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0618 loss: 0.1948 2022/08/26 11:43:28 - mmengine - INFO - Epoch(train) [188][55/63] lr: 1.0000e-04 eta: 1 day, 3:29:58 time: 2.8348 data_time: 0.1076 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0608 loss: 0.1923 2022/08/26 11:43:33 - mmengine - INFO - Epoch(train) [188][60/63] lr: 1.0000e-04 eta: 1 day, 3:28:58 time: 2.8141 data_time: 0.1312 memory: 28971 loss_text: 0.1223 loss_kernel: 0.0563 loss: 0.1787 2022/08/26 11:43:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:45:43 - mmengine - INFO - Epoch(train) [189][5/63] lr: 1.0000e-04 eta: 1 day, 3:28:58 time: 13.1276 data_time: 9.9006 memory: 28971 loss_text: 0.1878 loss_kernel: 0.0842 loss: 0.2720 2022/08/26 11:45:49 - mmengine - INFO - Epoch(train) [189][10/63] lr: 1.0000e-04 eta: 1 day, 3:30:40 time: 11.9074 data_time: 9.9523 memory: 28971 loss_text: 0.1538 loss_kernel: 0.0694 loss: 0.2232 2022/08/26 11:46:01 - mmengine - INFO - Epoch(train) [189][15/63] lr: 1.0000e-04 eta: 1 day, 3:30:40 time: 1.7452 data_time: 0.1052 memory: 28971 loss_text: 0.1586 loss_kernel: 0.0706 loss: 0.2292 2022/08/26 11:46:21 - mmengine - INFO - Epoch(train) [189][20/63] lr: 1.0000e-04 eta: 1 day, 3:29:47 time: 3.1333 data_time: 0.2221 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0671 loss: 0.2116 2022/08/26 11:46:26 - mmengine - INFO - Epoch(train) [189][25/63] lr: 1.0000e-04 eta: 1 day, 3:29:47 time: 2.5314 data_time: 0.2705 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0660 loss: 0.2033 2022/08/26 11:46:42 - mmengine - INFO - Epoch(train) [189][30/63] lr: 1.0000e-04 eta: 1 day, 3:28:33 time: 2.1540 data_time: 0.1249 memory: 28971 loss_text: 0.1478 loss_kernel: 0.0699 loss: 0.2177 2022/08/26 11:46:55 - mmengine - INFO - Epoch(train) [189][35/63] lr: 1.0000e-04 eta: 1 day, 3:28:33 time: 2.9198 data_time: 0.1391 memory: 28971 loss_text: 0.1567 loss_kernel: 0.0725 loss: 0.2292 2022/08/26 11:47:10 - mmengine - INFO - Epoch(train) [189][40/63] lr: 1.0000e-04 eta: 1 day, 3:27:32 time: 2.7715 data_time: 0.1746 memory: 28971 loss_text: 0.1602 loss_kernel: 0.0730 loss: 0.2332 2022/08/26 11:47:17 - mmengine - INFO - Epoch(train) [189][45/63] lr: 1.0000e-04 eta: 1 day, 3:27:32 time: 2.1991 data_time: 0.1622 memory: 28971 loss_text: 0.1238 loss_kernel: 0.0580 loss: 0.1819 2022/08/26 11:47:35 - mmengine - INFO - Epoch(train) [189][50/63] lr: 1.0000e-04 eta: 1 day, 3:26:26 time: 2.5306 data_time: 0.1836 memory: 28971 loss_text: 0.1108 loss_kernel: 0.0524 loss: 0.1632 2022/08/26 11:47:40 - mmengine - INFO - Epoch(train) [189][55/63] lr: 1.0000e-04 eta: 1 day, 3:26:26 time: 2.2476 data_time: 0.1339 memory: 28971 loss_text: 0.1314 loss_kernel: 0.0604 loss: 0.1919 2022/08/26 11:47:58 - mmengine - INFO - Epoch(train) [189][60/63] lr: 1.0000e-04 eta: 1 day, 3:25:13 time: 2.2487 data_time: 0.0892 memory: 28971 loss_text: 0.1477 loss_kernel: 0.0660 loss: 0.2137 2022/08/26 11:48:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:49:46 - mmengine - INFO - Epoch(train) [190][5/63] lr: 1.0000e-04 eta: 1 day, 3:25:13 time: 12.3509 data_time: 9.3126 memory: 28971 loss_text: 0.1600 loss_kernel: 0.0707 loss: 0.2307 2022/08/26 11:49:53 - mmengine - INFO - Epoch(train) [190][10/63] lr: 1.0000e-04 eta: 1 day, 3:26:38 time: 11.1127 data_time: 9.2777 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0577 loss: 0.1804 2022/08/26 11:50:06 - mmengine - INFO - Epoch(train) [190][15/63] lr: 1.0000e-04 eta: 1 day, 3:26:38 time: 1.9406 data_time: 0.0807 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0558 loss: 0.1757 2022/08/26 11:50:21 - mmengine - INFO - Epoch(train) [190][20/63] lr: 1.0000e-04 eta: 1 day, 3:25:39 time: 2.8546 data_time: 0.1089 memory: 28971 loss_text: 0.1584 loss_kernel: 0.0726 loss: 0.2310 2022/08/26 11:50:32 - mmengine - INFO - Epoch(train) [190][25/63] lr: 1.0000e-04 eta: 1 day, 3:25:39 time: 2.6027 data_time: 0.1680 memory: 28971 loss_text: 0.1811 loss_kernel: 0.0829 loss: 0.2640 2022/08/26 11:50:36 - mmengine - INFO - Epoch(train) [190][30/63] lr: 1.0000e-04 eta: 1 day, 3:24:11 time: 1.5364 data_time: 0.1203 memory: 28971 loss_text: 0.1481 loss_kernel: 0.0691 loss: 0.2172 2022/08/26 11:50:52 - mmengine - INFO - Epoch(train) [190][35/63] lr: 1.0000e-04 eta: 1 day, 3:24:11 time: 2.0062 data_time: 0.0829 memory: 28971 loss_text: 0.1194 loss_kernel: 0.0566 loss: 0.1759 2022/08/26 11:51:05 - mmengine - INFO - Epoch(train) [190][40/63] lr: 1.0000e-04 eta: 1 day, 3:23:11 time: 2.8231 data_time: 0.0885 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0580 loss: 0.1833 2022/08/26 11:51:14 - mmengine - INFO - Epoch(train) [190][45/63] lr: 1.0000e-04 eta: 1 day, 3:23:11 time: 2.2383 data_time: 0.2214 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0664 loss: 0.2138 2022/08/26 11:51:19 - mmengine - INFO - Epoch(train) [190][50/63] lr: 1.0000e-04 eta: 1 day, 3:21:41 time: 1.4049 data_time: 0.2202 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0664 loss: 0.2170 2022/08/26 11:51:37 - mmengine - INFO - Epoch(train) [190][55/63] lr: 1.0000e-04 eta: 1 day, 3:21:41 time: 2.2218 data_time: 0.0514 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0597 loss: 0.1915 2022/08/26 11:51:43 - mmengine - INFO - Epoch(train) [190][60/63] lr: 1.0000e-04 eta: 1 day, 3:20:32 time: 2.3889 data_time: 0.1538 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0611 loss: 0.1951 2022/08/26 11:51:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:53:44 - mmengine - INFO - Epoch(train) [191][5/63] lr: 1.0000e-04 eta: 1 day, 3:20:32 time: 12.3362 data_time: 9.4610 memory: 28971 loss_text: 0.1732 loss_kernel: 0.0775 loss: 0.2508 2022/08/26 11:53:49 - mmengine - INFO - Epoch(train) [191][10/63] lr: 1.0000e-04 eta: 1 day, 3:21:55 time: 11.0902 data_time: 9.4786 memory: 28971 loss_text: 0.1551 loss_kernel: 0.0716 loss: 0.2267 2022/08/26 11:54:04 - mmengine - INFO - Epoch(train) [191][15/63] lr: 1.0000e-04 eta: 1 day, 3:21:55 time: 1.9931 data_time: 0.0794 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0675 loss: 0.2125 2022/08/26 11:54:10 - mmengine - INFO - Epoch(train) [191][20/63] lr: 1.0000e-04 eta: 1 day, 3:20:39 time: 2.0282 data_time: 0.1028 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0679 loss: 0.2148 2022/08/26 11:54:28 - mmengine - INFO - Epoch(train) [191][25/63] lr: 1.0000e-04 eta: 1 day, 3:20:39 time: 2.3775 data_time: 0.1746 memory: 28971 loss_text: 0.1659 loss_kernel: 0.0773 loss: 0.2432 2022/08/26 11:54:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:54:33 - mmengine - INFO - Epoch(train) [191][30/63] lr: 1.0000e-04 eta: 1 day, 3:19:29 time: 2.3491 data_time: 0.1386 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0690 loss: 0.2179 2022/08/26 11:54:52 - mmengine - INFO - Epoch(train) [191][35/63] lr: 1.0000e-04 eta: 1 day, 3:19:29 time: 2.3766 data_time: 0.1596 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0618 loss: 0.1959 2022/08/26 11:54:57 - mmengine - INFO - Epoch(train) [191][40/63] lr: 1.0000e-04 eta: 1 day, 3:18:20 time: 2.3605 data_time: 0.1555 memory: 28971 loss_text: 0.1602 loss_kernel: 0.0724 loss: 0.2326 2022/08/26 11:55:11 - mmengine - INFO - Epoch(train) [191][45/63] lr: 1.0000e-04 eta: 1 day, 3:18:20 time: 1.9505 data_time: 0.0611 memory: 28971 loss_text: 0.1479 loss_kernel: 0.0674 loss: 0.2152 2022/08/26 11:55:17 - mmengine - INFO - Epoch(train) [191][50/63] lr: 1.0000e-04 eta: 1 day, 3:17:03 time: 2.0362 data_time: 0.1320 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0594 loss: 0.1856 2022/08/26 11:55:34 - mmengine - INFO - Epoch(train) [191][55/63] lr: 1.0000e-04 eta: 1 day, 3:17:03 time: 2.2402 data_time: 0.1137 memory: 28971 loss_text: 0.1397 loss_kernel: 0.0643 loss: 0.2040 2022/08/26 11:55:47 - mmengine - INFO - Epoch(train) [191][60/63] lr: 1.0000e-04 eta: 1 day, 3:16:09 time: 3.0306 data_time: 0.1477 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0676 loss: 0.2173 2022/08/26 11:55:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 11:57:38 - mmengine - INFO - Epoch(train) [192][5/63] lr: 1.0000e-04 eta: 1 day, 3:16:09 time: 12.0217 data_time: 9.2650 memory: 28971 loss_text: 0.1415 loss_kernel: 0.0617 loss: 0.2032 2022/08/26 11:57:44 - mmengine - INFO - Epoch(train) [192][10/63] lr: 1.0000e-04 eta: 1 day, 3:17:31 time: 11.1358 data_time: 9.2642 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0759 loss: 0.2474 2022/08/26 11:57:59 - mmengine - INFO - Epoch(train) [192][15/63] lr: 1.0000e-04 eta: 1 day, 3:17:31 time: 2.0643 data_time: 0.1002 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0656 loss: 0.2114 2022/08/26 11:58:04 - mmengine - INFO - Epoch(train) [192][20/63] lr: 1.0000e-04 eta: 1 day, 3:16:14 time: 1.9677 data_time: 0.1032 memory: 28971 loss_text: 0.1696 loss_kernel: 0.0760 loss: 0.2456 2022/08/26 11:58:18 - mmengine - INFO - Epoch(train) [192][25/63] lr: 1.0000e-04 eta: 1 day, 3:16:14 time: 1.8916 data_time: 0.0850 memory: 28971 loss_text: 0.1843 loss_kernel: 0.0834 loss: 0.2677 2022/08/26 11:58:23 - mmengine - INFO - Epoch(train) [192][30/63] lr: 1.0000e-04 eta: 1 day, 3:14:55 time: 1.8980 data_time: 0.0691 memory: 28971 loss_text: 0.1692 loss_kernel: 0.0768 loss: 0.2460 2022/08/26 11:58:38 - mmengine - INFO - Epoch(train) [192][35/63] lr: 1.0000e-04 eta: 1 day, 3:14:55 time: 1.9623 data_time: 0.1198 memory: 28971 loss_text: 0.1722 loss_kernel: 0.0789 loss: 0.2511 2022/08/26 11:58:42 - mmengine - INFO - Epoch(train) [192][40/63] lr: 1.0000e-04 eta: 1 day, 3:13:36 time: 1.9153 data_time: 0.1057 memory: 28971 loss_text: 0.1777 loss_kernel: 0.0820 loss: 0.2597 2022/08/26 11:58:59 - mmengine - INFO - Epoch(train) [192][45/63] lr: 1.0000e-04 eta: 1 day, 3:13:36 time: 2.1775 data_time: 0.0589 memory: 28971 loss_text: 0.1772 loss_kernel: 0.0817 loss: 0.2589 2022/08/26 11:59:04 - mmengine - INFO - Epoch(train) [192][50/63] lr: 1.0000e-04 eta: 1 day, 3:12:25 time: 2.2644 data_time: 0.1107 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0642 loss: 0.2011 2022/08/26 11:59:25 - mmengine - INFO - Epoch(train) [192][55/63] lr: 1.0000e-04 eta: 1 day, 3:12:25 time: 2.5209 data_time: 0.1129 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0608 loss: 0.1913 2022/08/26 11:59:37 - mmengine - INFO - Epoch(train) [192][60/63] lr: 1.0000e-04 eta: 1 day, 3:11:34 time: 3.2084 data_time: 0.2031 memory: 28971 loss_text: 0.1600 loss_kernel: 0.0726 loss: 0.2326 2022/08/26 11:59:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:01:31 - mmengine - INFO - Epoch(train) [193][5/63] lr: 1.0000e-04 eta: 1 day, 3:11:34 time: 11.6030 data_time: 9.6078 memory: 28971 loss_text: 0.1564 loss_kernel: 0.0711 loss: 0.2275 2022/08/26 12:01:38 - mmengine - INFO - Epoch(train) [193][10/63] lr: 1.0000e-04 eta: 1 day, 3:13:05 time: 11.5689 data_time: 9.6463 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0765 loss: 0.2480 2022/08/26 12:01:53 - mmengine - INFO - Epoch(train) [193][15/63] lr: 1.0000e-04 eta: 1 day, 3:13:05 time: 2.1481 data_time: 0.1246 memory: 28971 loss_text: 0.1629 loss_kernel: 0.0714 loss: 0.2343 2022/08/26 12:02:02 - mmengine - INFO - Epoch(train) [193][20/63] lr: 1.0000e-04 eta: 1 day, 3:11:58 time: 2.4145 data_time: 0.1132 memory: 28971 loss_text: 0.1484 loss_kernel: 0.0658 loss: 0.2141 2022/08/26 12:02:12 - mmengine - INFO - Epoch(train) [193][25/63] lr: 1.0000e-04 eta: 1 day, 3:11:58 time: 1.8787 data_time: 0.0921 memory: 28971 loss_text: 0.1613 loss_kernel: 0.0735 loss: 0.2347 2022/08/26 12:02:21 - mmengine - INFO - Epoch(train) [193][30/63] lr: 1.0000e-04 eta: 1 day, 3:10:39 time: 1.9127 data_time: 0.0897 memory: 28971 loss_text: 0.1633 loss_kernel: 0.0750 loss: 0.2383 2022/08/26 12:02:33 - mmengine - INFO - Epoch(train) [193][35/63] lr: 1.0000e-04 eta: 1 day, 3:10:39 time: 2.1255 data_time: 0.1008 memory: 28971 loss_text: 0.1545 loss_kernel: 0.0704 loss: 0.2249 2022/08/26 12:02:39 - mmengine - INFO - Epoch(train) [193][40/63] lr: 1.0000e-04 eta: 1 day, 3:09:18 time: 1.7789 data_time: 0.0861 memory: 28971 loss_text: 0.1705 loss_kernel: 0.0769 loss: 0.2475 2022/08/26 12:02:49 - mmengine - INFO - Epoch(train) [193][45/63] lr: 1.0000e-04 eta: 1 day, 3:09:18 time: 1.6407 data_time: 0.0987 memory: 28971 loss_text: 0.1782 loss_kernel: 0.0801 loss: 0.2583 2022/08/26 12:02:54 - mmengine - INFO - Epoch(train) [193][50/63] lr: 1.0000e-04 eta: 1 day, 3:07:51 time: 1.4710 data_time: 0.1208 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0651 loss: 0.2072 2022/08/26 12:03:13 - mmengine - INFO - Epoch(train) [193][55/63] lr: 1.0000e-04 eta: 1 day, 3:07:51 time: 2.3096 data_time: 0.1619 memory: 28971 loss_text: 0.1282 loss_kernel: 0.0602 loss: 0.1884 2022/08/26 12:03:17 - mmengine - INFO - Epoch(train) [193][60/63] lr: 1.0000e-04 eta: 1 day, 3:06:42 time: 2.3525 data_time: 0.1931 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0674 loss: 0.2167 2022/08/26 12:03:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:05:18 - mmengine - INFO - Epoch(train) [194][5/63] lr: 1.0000e-04 eta: 1 day, 3:06:42 time: 12.1567 data_time: 9.5548 memory: 28971 loss_text: 0.1148 loss_kernel: 0.0498 loss: 0.1646 2022/08/26 12:05:22 - mmengine - INFO - Epoch(train) [194][10/63] lr: 1.0000e-04 eta: 1 day, 3:08:02 time: 11.1104 data_time: 9.5480 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0607 loss: 0.1971 2022/08/26 12:05:39 - mmengine - INFO - Epoch(train) [194][15/63] lr: 1.0000e-04 eta: 1 day, 3:08:02 time: 2.0992 data_time: 0.1325 memory: 28971 loss_text: 0.1342 loss_kernel: 0.0611 loss: 0.1953 2022/08/26 12:05:44 - mmengine - INFO - Epoch(train) [194][20/63] lr: 1.0000e-04 eta: 1 day, 3:06:49 time: 2.1364 data_time: 0.1611 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0595 loss: 0.1891 2022/08/26 12:06:00 - mmengine - INFO - Epoch(train) [194][25/63] lr: 1.0000e-04 eta: 1 day, 3:06:49 time: 2.0732 data_time: 0.0852 memory: 28971 loss_text: 0.1612 loss_kernel: 0.0731 loss: 0.2343 2022/08/26 12:06:04 - mmengine - INFO - Epoch(train) [194][30/63] lr: 1.0000e-04 eta: 1 day, 3:05:34 time: 2.0655 data_time: 0.0723 memory: 28971 loss_text: 0.1643 loss_kernel: 0.0740 loss: 0.2383 2022/08/26 12:06:18 - mmengine - INFO - Epoch(train) [194][35/63] lr: 1.0000e-04 eta: 1 day, 3:05:34 time: 1.8302 data_time: 0.1038 memory: 28971 loss_text: 0.1512 loss_kernel: 0.0686 loss: 0.2198 2022/08/26 12:06:22 - mmengine - INFO - Epoch(train) [194][40/63] lr: 1.0000e-04 eta: 1 day, 3:04:14 time: 1.8140 data_time: 0.0995 memory: 28971 loss_text: 0.1568 loss_kernel: 0.0708 loss: 0.2276 2022/08/26 12:06:39 - mmengine - INFO - Epoch(train) [194][45/63] lr: 1.0000e-04 eta: 1 day, 3:04:14 time: 2.1113 data_time: 0.1481 memory: 28971 loss_text: 0.1410 loss_kernel: 0.0651 loss: 0.2061 2022/08/26 12:06:43 - mmengine - INFO - Epoch(train) [194][50/63] lr: 1.0000e-04 eta: 1 day, 3:03:01 time: 2.1105 data_time: 0.1487 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0637 loss: 0.1973 2022/08/26 12:06:59 - mmengine - INFO - Epoch(train) [194][55/63] lr: 1.0000e-04 eta: 1 day, 3:03:01 time: 1.9839 data_time: 0.0750 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0619 loss: 0.1916 2022/08/26 12:07:04 - mmengine - INFO - Epoch(train) [194][60/63] lr: 1.0000e-04 eta: 1 day, 3:01:46 time: 2.0547 data_time: 0.1203 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0673 loss: 0.2142 2022/08/26 12:07:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:09:11 - mmengine - INFO - Epoch(train) [195][5/63] lr: 1.0000e-04 eta: 1 day, 3:01:46 time: 12.7997 data_time: 9.1922 memory: 28971 loss_text: 0.1635 loss_kernel: 0.0731 loss: 0.2365 2022/08/26 12:09:21 - mmengine - INFO - Epoch(train) [195][10/63] lr: 1.0000e-04 eta: 1 day, 3:03:22 time: 11.8928 data_time: 9.2294 memory: 28971 loss_text: 0.1666 loss_kernel: 0.0766 loss: 0.2432 2022/08/26 12:09:30 - mmengine - INFO - Epoch(train) [195][15/63] lr: 1.0000e-04 eta: 1 day, 3:03:22 time: 1.8815 data_time: 0.1044 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0647 loss: 0.2012 2022/08/26 12:09:42 - mmengine - INFO - Epoch(train) [195][20/63] lr: 1.0000e-04 eta: 1 day, 3:02:07 time: 2.0467 data_time: 0.0924 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0604 loss: 0.1876 2022/08/26 12:09:50 - mmengine - INFO - Epoch(train) [195][25/63] lr: 1.0000e-04 eta: 1 day, 3:02:07 time: 2.0752 data_time: 0.2459 memory: 28971 loss_text: 0.1356 loss_kernel: 0.0632 loss: 0.1988 2022/08/26 12:09:55 - mmengine - INFO - Epoch(train) [195][30/63] lr: 1.0000e-04 eta: 1 day, 3:00:37 time: 1.3543 data_time: 0.2202 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0664 loss: 0.2100 2022/08/26 12:10:10 - mmengine - INFO - Epoch(train) [195][35/63] lr: 1.0000e-04 eta: 1 day, 3:00:37 time: 1.9060 data_time: 0.0930 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0577 loss: 0.1779 2022/08/26 12:10:15 - mmengine - INFO - Epoch(train) [195][40/63] lr: 1.0000e-04 eta: 1 day, 2:59:21 time: 1.9699 data_time: 0.1177 memory: 28971 loss_text: 0.1153 loss_kernel: 0.0552 loss: 0.1704 2022/08/26 12:10:32 - mmengine - INFO - Epoch(train) [195][45/63] lr: 1.0000e-04 eta: 1 day, 2:59:21 time: 2.2026 data_time: 0.1646 memory: 28971 loss_text: 0.1560 loss_kernel: 0.0706 loss: 0.2267 2022/08/26 12:10:37 - mmengine - INFO - Epoch(train) [195][50/63] lr: 1.0000e-04 eta: 1 day, 2:58:10 time: 2.2131 data_time: 0.1874 memory: 28971 loss_text: 0.1551 loss_kernel: 0.0701 loss: 0.2251 2022/08/26 12:10:53 - mmengine - INFO - Epoch(train) [195][55/63] lr: 1.0000e-04 eta: 1 day, 2:58:10 time: 2.0805 data_time: 0.1241 memory: 28971 loss_text: 0.1313 loss_kernel: 0.0602 loss: 0.1915 2022/08/26 12:10:57 - mmengine - INFO - Epoch(train) [195][60/63] lr: 1.0000e-04 eta: 1 day, 2:56:56 time: 2.0637 data_time: 0.1123 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0635 loss: 0.2017 2022/08/26 12:11:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:12:46 - mmengine - INFO - Epoch(train) [196][5/63] lr: 1.0000e-04 eta: 1 day, 2:56:56 time: 10.9861 data_time: 9.1629 memory: 28971 loss_text: 0.1573 loss_kernel: 0.0731 loss: 0.2304 2022/08/26 12:13:02 - mmengine - INFO - Epoch(train) [196][10/63] lr: 1.0000e-04 eta: 1 day, 2:58:35 time: 12.1209 data_time: 9.2005 memory: 28971 loss_text: 0.1822 loss_kernel: 0.0824 loss: 0.2645 2022/08/26 12:13:07 - mmengine - INFO - Epoch(train) [196][15/63] lr: 1.0000e-04 eta: 1 day, 2:58:35 time: 2.1067 data_time: 0.1009 memory: 28971 loss_text: 0.1500 loss_kernel: 0.0678 loss: 0.2177 2022/08/26 12:13:21 - mmengine - INFO - Epoch(train) [196][20/63] lr: 1.0000e-04 eta: 1 day, 2:57:15 time: 1.7457 data_time: 0.0782 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0625 loss: 0.2008 2022/08/26 12:13:27 - mmengine - INFO - Epoch(train) [196][25/63] lr: 1.0000e-04 eta: 1 day, 2:57:15 time: 2.0534 data_time: 0.1808 memory: 28971 loss_text: 0.1735 loss_kernel: 0.0777 loss: 0.2512 2022/08/26 12:13:32 - mmengine - INFO - Epoch(train) [196][30/63] lr: 1.0000e-04 eta: 1 day, 2:55:44 time: 1.2520 data_time: 0.1691 memory: 28971 loss_text: 0.1758 loss_kernel: 0.0776 loss: 0.2534 2022/08/26 12:13:51 - mmengine - INFO - Epoch(train) [196][35/63] lr: 1.0000e-04 eta: 1 day, 2:55:44 time: 2.3072 data_time: 0.0905 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0720 loss: 0.2328 2022/08/26 12:14:09 - mmengine - INFO - Epoch(train) [196][40/63] lr: 1.0000e-04 eta: 1 day, 2:55:02 time: 3.6300 data_time: 0.1716 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0726 loss: 0.2321 2022/08/26 12:14:14 - mmengine - INFO - Epoch(train) [196][45/63] lr: 1.0000e-04 eta: 1 day, 2:55:02 time: 2.3826 data_time: 0.1872 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0613 loss: 0.1943 2022/08/26 12:14:33 - mmengine - INFO - Epoch(train) [196][50/63] lr: 1.0000e-04 eta: 1 day, 2:53:55 time: 2.4252 data_time: 0.1863 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0554 loss: 0.1737 2022/08/26 12:14:58 - mmengine - INFO - Epoch(train) [196][55/63] lr: 1.0000e-04 eta: 1 day, 2:53:55 time: 4.3087 data_time: 0.1829 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0564 loss: 0.1738 2022/08/26 12:15:04 - mmengine - INFO - Epoch(train) [196][60/63] lr: 1.0000e-04 eta: 1 day, 2:53:03 time: 3.0788 data_time: 0.2617 memory: 28971 loss_text: 0.1251 loss_kernel: 0.0596 loss: 0.1847 2022/08/26 12:15:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:16:46 - mmengine - INFO - Epoch(train) [197][5/63] lr: 1.0000e-04 eta: 1 day, 2:53:03 time: 10.4771 data_time: 8.5486 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0715 loss: 0.2273 2022/08/26 12:16:51 - mmengine - INFO - Epoch(train) [197][10/63] lr: 1.0000e-04 eta: 1 day, 2:53:50 time: 9.6364 data_time: 8.4893 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0611 loss: 0.1931 2022/08/26 12:17:00 - mmengine - INFO - Epoch(train) [197][15/63] lr: 1.0000e-04 eta: 1 day, 2:53:50 time: 1.3355 data_time: 0.1230 memory: 28971 loss_text: 0.1210 loss_kernel: 0.0568 loss: 0.1778 2022/08/26 12:17:06 - mmengine - INFO - Epoch(train) [197][20/63] lr: 1.0000e-04 eta: 1 day, 2:52:24 time: 1.4940 data_time: 0.1869 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0627 loss: 0.1965 2022/08/26 12:17:10 - mmengine - INFO - Epoch(train) [197][25/63] lr: 1.0000e-04 eta: 1 day, 2:52:24 time: 1.0173 data_time: 0.0909 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0739 loss: 0.2380 2022/08/26 12:17:14 - mmengine - INFO - Epoch(train) [197][30/63] lr: 1.0000e-04 eta: 1 day, 2:50:46 time: 0.8910 data_time: 0.0384 memory: 28971 loss_text: 0.1773 loss_kernel: 0.0785 loss: 0.2558 2022/08/26 12:17:22 - mmengine - INFO - Epoch(train) [197][35/63] lr: 1.0000e-04 eta: 1 day, 2:50:46 time: 1.2630 data_time: 0.0644 memory: 28971 loss_text: 0.1970 loss_kernel: 0.0882 loss: 0.2852 2022/08/26 12:17:27 - mmengine - INFO - Epoch(train) [197][40/63] lr: 1.0000e-04 eta: 1 day, 2:49:16 time: 1.2396 data_time: 0.0530 memory: 28971 loss_text: 0.1637 loss_kernel: 0.0746 loss: 0.2383 2022/08/26 12:17:32 - mmengine - INFO - Epoch(train) [197][45/63] lr: 1.0000e-04 eta: 1 day, 2:49:16 time: 0.9915 data_time: 0.0397 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0615 loss: 0.1986 2022/08/26 12:17:37 - mmengine - INFO - Epoch(train) [197][50/63] lr: 1.0000e-04 eta: 1 day, 2:47:41 time: 1.0278 data_time: 0.0363 memory: 28971 loss_text: 0.1706 loss_kernel: 0.0742 loss: 0.2448 2022/08/26 12:17:45 - mmengine - INFO - Epoch(train) [197][55/63] lr: 1.0000e-04 eta: 1 day, 2:47:41 time: 1.2669 data_time: 0.0464 memory: 28971 loss_text: 0.1705 loss_kernel: 0.0749 loss: 0.2454 2022/08/26 12:17:51 - mmengine - INFO - Epoch(train) [197][60/63] lr: 1.0000e-04 eta: 1 day, 2:46:13 time: 1.3801 data_time: 0.0622 memory: 28971 loss_text: 0.1648 loss_kernel: 0.0736 loss: 0.2383 2022/08/26 12:17:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:19:35 - mmengine - INFO - Epoch(train) [198][5/63] lr: 1.0000e-04 eta: 1 day, 2:46:13 time: 10.5738 data_time: 8.9115 memory: 28971 loss_text: 0.1521 loss_kernel: 0.0681 loss: 0.2202 2022/08/26 12:19:41 - mmengine - INFO - Epoch(train) [198][10/63] lr: 1.0000e-04 eta: 1 day, 2:47:20 time: 10.6241 data_time: 8.9453 memory: 28971 loss_text: 0.1554 loss_kernel: 0.0684 loss: 0.2239 2022/08/26 12:19:56 - mmengine - INFO - Epoch(train) [198][15/63] lr: 1.0000e-04 eta: 1 day, 2:47:20 time: 2.1012 data_time: 0.0973 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0617 loss: 0.1990 2022/08/26 12:20:02 - mmengine - INFO - Epoch(train) [198][20/63] lr: 1.0000e-04 eta: 1 day, 2:46:08 time: 2.1082 data_time: 0.1575 memory: 28971 loss_text: 0.1439 loss_kernel: 0.0661 loss: 0.2100 2022/08/26 12:20:19 - mmengine - INFO - Epoch(train) [198][25/63] lr: 1.0000e-04 eta: 1 day, 2:46:08 time: 2.2228 data_time: 0.2126 memory: 28971 loss_text: 0.1516 loss_kernel: 0.0688 loss: 0.2204 2022/08/26 12:20:30 - mmengine - INFO - Epoch(train) [198][30/63] lr: 1.0000e-04 eta: 1 day, 2:45:10 time: 2.8165 data_time: 0.1670 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0640 loss: 0.2030 2022/08/26 12:20:39 - mmengine - INFO - Epoch(train) [198][35/63] lr: 1.0000e-04 eta: 1 day, 2:45:10 time: 2.0972 data_time: 0.3042 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0689 loss: 0.2186 2022/08/26 12:20:53 - mmengine - INFO - Epoch(train) [198][40/63] lr: 1.0000e-04 eta: 1 day, 2:44:01 time: 2.3007 data_time: 0.3348 memory: 28971 loss_text: 0.1680 loss_kernel: 0.0771 loss: 0.2451 2022/08/26 12:21:04 - mmengine - INFO - Epoch(train) [198][45/63] lr: 1.0000e-04 eta: 1 day, 2:44:01 time: 2.4391 data_time: 0.1430 memory: 28971 loss_text: 0.1678 loss_kernel: 0.0771 loss: 0.2449 2022/08/26 12:21:16 - mmengine - INFO - Epoch(train) [198][50/63] lr: 1.0000e-04 eta: 1 day, 2:42:53 time: 2.2990 data_time: 0.1959 memory: 28971 loss_text: 0.1547 loss_kernel: 0.0705 loss: 0.2252 2022/08/26 12:21:36 - mmengine - INFO - Epoch(train) [198][55/63] lr: 1.0000e-04 eta: 1 day, 2:42:53 time: 3.1813 data_time: 0.3923 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0620 loss: 0.2000 2022/08/26 12:21:41 - mmengine - INFO - Epoch(train) [198][60/63] lr: 1.0000e-04 eta: 1 day, 2:41:49 time: 2.5172 data_time: 0.3689 memory: 28971 loss_text: 0.1511 loss_kernel: 0.0669 loss: 0.2180 2022/08/26 12:21:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:23:39 - mmengine - INFO - Epoch(train) [199][5/63] lr: 1.0000e-04 eta: 1 day, 2:41:49 time: 11.9051 data_time: 9.2971 memory: 28971 loss_text: 0.1789 loss_kernel: 0.0795 loss: 0.2584 2022/08/26 12:23:45 - mmengine - INFO - Epoch(train) [199][10/63] lr: 1.0000e-04 eta: 1 day, 2:42:57 time: 10.7023 data_time: 9.3104 memory: 28971 loss_text: 0.1704 loss_kernel: 0.0768 loss: 0.2471 2022/08/26 12:24:01 - mmengine - INFO - Epoch(train) [199][15/63] lr: 1.0000e-04 eta: 1 day, 2:42:57 time: 2.1032 data_time: 0.1498 memory: 28971 loss_text: 0.1572 loss_kernel: 0.0712 loss: 0.2284 2022/08/26 12:24:06 - mmengine - INFO - Epoch(train) [199][20/63] lr: 1.0000e-04 eta: 1 day, 2:41:44 time: 2.0966 data_time: 0.1690 memory: 28971 loss_text: 0.1696 loss_kernel: 0.0749 loss: 0.2445 2022/08/26 12:24:24 - mmengine - INFO - Epoch(train) [199][25/63] lr: 1.0000e-04 eta: 1 day, 2:41:44 time: 2.3575 data_time: 0.1672 memory: 28971 loss_text: 0.1640 loss_kernel: 0.0726 loss: 0.2366 2022/08/26 12:24:40 - mmengine - INFO - Epoch(train) [199][30/63] lr: 1.0000e-04 eta: 1 day, 2:40:58 time: 3.3809 data_time: 0.1839 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0663 loss: 0.2098 2022/08/26 12:24:58 - mmengine - INFO - Epoch(train) [199][35/63] lr: 1.0000e-04 eta: 1 day, 2:40:58 time: 3.3605 data_time: 0.2278 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0690 loss: 0.2183 2022/08/26 12:25:03 - mmengine - INFO - Epoch(train) [199][40/63] lr: 1.0000e-04 eta: 1 day, 2:39:49 time: 2.2940 data_time: 0.1962 memory: 28971 loss_text: 0.1767 loss_kernel: 0.0784 loss: 0.2551 2022/08/26 12:25:16 - mmengine - INFO - Epoch(train) [199][45/63] lr: 1.0000e-04 eta: 1 day, 2:39:49 time: 1.8110 data_time: 0.1608 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0658 loss: 0.2160 2022/08/26 12:25:20 - mmengine - INFO - Epoch(train) [199][50/63] lr: 1.0000e-04 eta: 1 day, 2:38:31 time: 1.7770 data_time: 0.1635 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0623 loss: 0.1974 2022/08/26 12:25:33 - mmengine - INFO - Epoch(train) [199][55/63] lr: 1.0000e-04 eta: 1 day, 2:38:31 time: 1.6597 data_time: 0.0600 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0661 loss: 0.2061 2022/08/26 12:25:40 - mmengine - INFO - Epoch(train) [199][60/63] lr: 1.0000e-04 eta: 1 day, 2:37:16 time: 1.9498 data_time: 0.1745 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0559 loss: 0.1727 2022/08/26 12:25:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:27:30 - mmengine - INFO - Epoch(train) [200][5/63] lr: 1.0000e-04 eta: 1 day, 2:37:16 time: 11.2723 data_time: 9.2499 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0653 loss: 0.2089 2022/08/26 12:27:36 - mmengine - INFO - Epoch(train) [200][10/63] lr: 1.0000e-04 eta: 1 day, 2:38:29 time: 11.0202 data_time: 9.3193 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0629 loss: 0.1992 2022/08/26 12:27:54 - mmengine - INFO - Epoch(train) [200][15/63] lr: 1.0000e-04 eta: 1 day, 2:38:29 time: 2.3367 data_time: 0.1569 memory: 28971 loss_text: 0.1169 loss_kernel: 0.0555 loss: 0.1724 2022/08/26 12:27:59 - mmengine - INFO - Epoch(train) [200][20/63] lr: 1.0000e-04 eta: 1 day, 2:37:20 time: 2.2784 data_time: 0.1384 memory: 28971 loss_text: 0.1527 loss_kernel: 0.0695 loss: 0.2222 2022/08/26 12:28:15 - mmengine - INFO - Epoch(train) [200][25/63] lr: 1.0000e-04 eta: 1 day, 2:37:20 time: 2.0963 data_time: 0.1418 memory: 28971 loss_text: 0.1688 loss_kernel: 0.0752 loss: 0.2440 2022/08/26 12:28:19 - mmengine - INFO - Epoch(train) [200][30/63] lr: 1.0000e-04 eta: 1 day, 2:36:08 time: 2.0772 data_time: 0.1248 memory: 28971 loss_text: 0.1433 loss_kernel: 0.0654 loss: 0.2087 2022/08/26 12:28:34 - mmengine - INFO - Epoch(train) [200][35/63] lr: 1.0000e-04 eta: 1 day, 2:36:08 time: 1.9832 data_time: 0.0707 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0710 loss: 0.2267 2022/08/26 12:28:39 - mmengine - INFO - Epoch(train) [200][40/63] lr: 1.0000e-04 eta: 1 day, 2:34:53 time: 1.9565 data_time: 0.0685 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0672 loss: 0.2127 2022/08/26 12:28:55 - mmengine - INFO - Epoch(train) [200][45/63] lr: 1.0000e-04 eta: 1 day, 2:34:53 time: 2.0142 data_time: 0.1018 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0625 loss: 0.1985 2022/08/26 12:28:59 - mmengine - INFO - Epoch(train) [200][50/63] lr: 1.0000e-04 eta: 1 day, 2:33:39 time: 2.0074 data_time: 0.1077 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0664 loss: 0.2165 2022/08/26 12:29:17 - mmengine - INFO - Epoch(train) [200][55/63] lr: 1.0000e-04 eta: 1 day, 2:33:39 time: 2.2446 data_time: 0.0791 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0548 loss: 0.1725 2022/08/26 12:29:22 - mmengine - INFO - Epoch(train) [200][60/63] lr: 1.0000e-04 eta: 1 day, 2:32:31 time: 2.2596 data_time: 0.0651 memory: 28971 loss_text: 0.1126 loss_kernel: 0.0534 loss: 0.1660 2022/08/26 12:29:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:29:25 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/26 12:30:10 - mmengine - INFO - Epoch(val) [200][5/500] eta: 1 day, 2:32:31 time: 3.4975 data_time: 2.8511 memory: 28971 2022/08/26 12:30:10 - mmengine - INFO - Epoch(val) [200][10/500] eta: 0:28:50 time: 3.5323 data_time: 2.8828 memory: 3207 2022/08/26 12:30:11 - mmengine - INFO - Epoch(val) [200][15/500] eta: 0:28:50 time: 0.1263 data_time: 0.0344 memory: 3207 2022/08/26 12:30:11 - mmengine - INFO - Epoch(val) [200][20/500] eta: 0:00:45 time: 0.0945 data_time: 0.0030 memory: 3207 2022/08/26 12:30:11 - mmengine - INFO - Epoch(val) [200][25/500] eta: 0:00:45 time: 0.0847 data_time: 0.0031 memory: 3207 2022/08/26 12:30:12 - mmengine - INFO - Epoch(val) [200][30/500] eta: 0:00:41 time: 0.0884 data_time: 0.0031 memory: 3207 2022/08/26 12:30:12 - mmengine - INFO - Epoch(val) [200][35/500] eta: 0:00:41 time: 0.0888 data_time: 0.0031 memory: 3207 2022/08/26 12:30:13 - mmengine - INFO - Epoch(val) [200][40/500] eta: 0:00:40 time: 0.0886 data_time: 0.0029 memory: 3207 2022/08/26 12:30:14 - mmengine - INFO - Epoch(val) [200][45/500] eta: 0:00:40 time: 0.1338 data_time: 0.0466 memory: 3207 2022/08/26 12:30:14 - mmengine - INFO - Epoch(val) [200][50/500] eta: 0:01:02 time: 0.1379 data_time: 0.0517 memory: 3207 2022/08/26 12:30:15 - mmengine - INFO - Epoch(val) [200][55/500] eta: 0:01:02 time: 0.1006 data_time: 0.0141 memory: 3207 2022/08/26 12:30:15 - mmengine - INFO - Epoch(val) [200][60/500] eta: 0:00:48 time: 0.1095 data_time: 0.0228 memory: 3207 2022/08/26 12:30:16 - mmengine - INFO - Epoch(val) [200][65/500] eta: 0:00:48 time: 0.1046 data_time: 0.0165 memory: 3207 2022/08/26 12:30:16 - mmengine - INFO - Epoch(val) [200][70/500] eta: 0:00:38 time: 0.0888 data_time: 0.0027 memory: 3207 2022/08/26 12:30:17 - mmengine - INFO - Epoch(val) [200][75/500] eta: 0:00:38 time: 0.1000 data_time: 0.0030 memory: 3207 2022/08/26 12:30:17 - mmengine - INFO - Epoch(val) [200][80/500] eta: 0:00:42 time: 0.1013 data_time: 0.0031 memory: 3207 2022/08/26 12:30:18 - mmengine - INFO - Epoch(val) [200][85/500] eta: 0:00:42 time: 0.0840 data_time: 0.0028 memory: 3207 2022/08/26 12:30:25 - mmengine - INFO - Epoch(val) [200][90/500] eta: 0:04:33 time: 0.6672 data_time: 0.0070 memory: 3207 2022/08/26 12:30:27 - mmengine - INFO - Epoch(val) [200][95/500] eta: 0:04:33 time: 0.9577 data_time: 0.1084 memory: 3207 2022/08/26 12:30:28 - mmengine - INFO - Epoch(val) [200][100/500] eta: 0:02:28 time: 0.3720 data_time: 0.1042 memory: 3207 2022/08/26 12:30:28 - mmengine - INFO - Epoch(val) [200][105/500] eta: 0:02:28 time: 0.0865 data_time: 0.0045 memory: 3207 2022/08/26 12:30:29 - mmengine - INFO - Epoch(val) [200][110/500] eta: 0:00:50 time: 0.1286 data_time: 0.0132 memory: 3207 2022/08/26 12:30:29 - mmengine - INFO - Epoch(val) [200][115/500] eta: 0:00:50 time: 0.1378 data_time: 0.0117 memory: 3207 2022/08/26 12:30:30 - mmengine - INFO - Epoch(val) [200][120/500] eta: 0:00:38 time: 0.1009 data_time: 0.0029 memory: 3207 2022/08/26 12:30:30 - mmengine - INFO - Epoch(val) [200][125/500] eta: 0:00:38 time: 0.0898 data_time: 0.0029 memory: 3207 2022/08/26 12:30:31 - mmengine - INFO - Epoch(val) [200][130/500] eta: 0:00:30 time: 0.0835 data_time: 0.0028 memory: 3207 2022/08/26 12:30:31 - mmengine - INFO - Epoch(val) [200][135/500] eta: 0:00:30 time: 0.0826 data_time: 0.0028 memory: 3207 2022/08/26 12:30:32 - mmengine - INFO - Epoch(val) [200][140/500] eta: 0:00:29 time: 0.0833 data_time: 0.0026 memory: 3207 2022/08/26 12:30:32 - mmengine - INFO - Epoch(val) [200][145/500] eta: 0:00:29 time: 0.0874 data_time: 0.0026 memory: 3207 2022/08/26 12:30:32 - mmengine - INFO - Epoch(val) [200][150/500] eta: 0:00:31 time: 0.0893 data_time: 0.0026 memory: 3207 2022/08/26 12:30:33 - mmengine - INFO - Epoch(val) [200][155/500] eta: 0:00:31 time: 0.0914 data_time: 0.0028 memory: 3207 2022/08/26 12:30:34 - mmengine - INFO - Epoch(val) [200][160/500] eta: 0:00:57 time: 0.1684 data_time: 0.0347 memory: 3207 2022/08/26 12:30:35 - mmengine - INFO - Epoch(val) [200][165/500] eta: 0:00:57 time: 0.1962 data_time: 0.0600 memory: 3207 2022/08/26 12:30:35 - mmengine - INFO - Epoch(val) [200][170/500] eta: 0:00:40 time: 0.1214 data_time: 0.0307 memory: 3207 2022/08/26 12:30:36 - mmengine - INFO - Epoch(val) [200][175/500] eta: 0:00:40 time: 0.0902 data_time: 0.0053 memory: 3207 2022/08/26 12:30:36 - mmengine - INFO - Epoch(val) [200][180/500] eta: 0:00:27 time: 0.0874 data_time: 0.0027 memory: 3207 2022/08/26 12:30:43 - mmengine - INFO - Epoch(val) [200][185/500] eta: 0:00:27 time: 0.7242 data_time: 0.0374 memory: 3207 2022/08/26 12:30:44 - mmengine - INFO - Epoch(val) [200][190/500] eta: 0:03:50 time: 0.7431 data_time: 0.0500 memory: 3207 2022/08/26 12:30:45 - mmengine - INFO - Epoch(val) [200][195/500] eta: 0:03:50 time: 0.1657 data_time: 0.0382 memory: 3207 2022/08/26 12:30:47 - mmengine - INFO - Epoch(val) [200][200/500] eta: 0:01:22 time: 0.2733 data_time: 0.1160 memory: 3207 2022/08/26 12:30:47 - mmengine - INFO - Epoch(val) [200][205/500] eta: 0:01:22 time: 0.2219 data_time: 0.1044 memory: 3207 2022/08/26 12:30:47 - mmengine - INFO - Epoch(val) [200][210/500] eta: 0:00:27 time: 0.0939 data_time: 0.0141 memory: 3207 2022/08/26 12:30:48 - mmengine - INFO - Epoch(val) [200][215/500] eta: 0:00:27 time: 0.0871 data_time: 0.0029 memory: 3207 2022/08/26 12:30:48 - mmengine - INFO - Epoch(val) [200][220/500] eta: 0:00:30 time: 0.1090 data_time: 0.0027 memory: 3207 2022/08/26 12:30:49 - mmengine - INFO - Epoch(val) [200][225/500] eta: 0:00:30 time: 0.1379 data_time: 0.0326 memory: 3207 2022/08/26 12:30:50 - mmengine - INFO - Epoch(val) [200][230/500] eta: 0:00:30 time: 0.1137 data_time: 0.0326 memory: 3207 2022/08/26 12:30:50 - mmengine - INFO - Epoch(val) [200][235/500] eta: 0:00:30 time: 0.0823 data_time: 0.0027 memory: 3207 2022/08/26 12:30:50 - mmengine - INFO - Epoch(val) [200][240/500] eta: 0:00:22 time: 0.0867 data_time: 0.0029 memory: 3207 2022/08/26 12:30:51 - mmengine - INFO - Epoch(val) [200][245/500] eta: 0:00:22 time: 0.0853 data_time: 0.0029 memory: 3207 2022/08/26 12:30:51 - mmengine - INFO - Epoch(val) [200][250/500] eta: 0:00:21 time: 0.0860 data_time: 0.0029 memory: 3207 2022/08/26 12:30:52 - mmengine - INFO - Epoch(val) [200][255/500] eta: 0:00:21 time: 0.0853 data_time: 0.0027 memory: 3207 2022/08/26 12:30:52 - mmengine - INFO - Epoch(val) [200][260/500] eta: 0:00:20 time: 0.0835 data_time: 0.0033 memory: 3207 2022/08/26 12:30:53 - mmengine - INFO - Epoch(val) [200][265/500] eta: 0:00:20 time: 0.0834 data_time: 0.0033 memory: 3207 2022/08/26 12:30:54 - mmengine - INFO - Epoch(val) [200][270/500] eta: 0:00:28 time: 0.1253 data_time: 0.0025 memory: 3207 2022/08/26 12:31:03 - mmengine - INFO - Epoch(val) [200][275/500] eta: 0:00:28 time: 1.0359 data_time: 0.1813 memory: 3207 2022/08/26 12:31:04 - mmengine - INFO - Epoch(val) [200][280/500] eta: 0:03:50 time: 1.0498 data_time: 0.1830 memory: 3207 2022/08/26 12:31:04 - mmengine - INFO - Epoch(val) [200][285/500] eta: 0:03:50 time: 0.1414 data_time: 0.0045 memory: 3207 2022/08/26 12:31:05 - mmengine - INFO - Epoch(val) [200][290/500] eta: 0:00:22 time: 0.1089 data_time: 0.0077 memory: 3207 2022/08/26 12:31:06 - mmengine - INFO - Epoch(val) [200][295/500] eta: 0:00:22 time: 0.1230 data_time: 0.0137 memory: 3207 2022/08/26 12:31:06 - mmengine - INFO - Epoch(val) [200][300/500] eta: 0:00:20 time: 0.1002 data_time: 0.0089 memory: 3207 2022/08/26 12:31:06 - mmengine - INFO - Epoch(val) [200][305/500] eta: 0:00:20 time: 0.0895 data_time: 0.0028 memory: 3207 2022/08/26 12:31:07 - mmengine - INFO - Epoch(val) [200][310/500] eta: 0:00:17 time: 0.0905 data_time: 0.0027 memory: 3207 2022/08/26 12:31:07 - mmengine - INFO - Epoch(val) [200][315/500] eta: 0:00:17 time: 0.0896 data_time: 0.0027 memory: 3207 2022/08/26 12:31:08 - mmengine - INFO - Epoch(val) [200][320/500] eta: 0:00:15 time: 0.0869 data_time: 0.0028 memory: 3207 2022/08/26 12:31:13 - mmengine - INFO - Epoch(val) [200][325/500] eta: 0:00:15 time: 0.5152 data_time: 0.0378 memory: 3207 2022/08/26 12:31:15 - mmengine - INFO - Epoch(val) [200][330/500] eta: 0:01:55 time: 0.6772 data_time: 0.0398 memory: 3207 2022/08/26 12:31:16 - mmengine - INFO - Epoch(val) [200][335/500] eta: 0:01:55 time: 0.3065 data_time: 0.0303 memory: 3207 2022/08/26 12:31:16 - mmengine - INFO - Epoch(val) [200][340/500] eta: 0:00:24 time: 0.1516 data_time: 0.0282 memory: 3207 2022/08/26 12:31:17 - mmengine - INFO - Epoch(val) [200][345/500] eta: 0:00:24 time: 0.0934 data_time: 0.0028 memory: 3207 2022/08/26 12:31:17 - mmengine - INFO - Epoch(val) [200][350/500] eta: 0:00:13 time: 0.0927 data_time: 0.0027 memory: 3207 2022/08/26 12:31:17 - mmengine - INFO - Epoch(val) [200][355/500] eta: 0:00:13 time: 0.0888 data_time: 0.0027 memory: 3207 2022/08/26 12:31:18 - mmengine - INFO - Epoch(val) [200][360/500] eta: 0:00:11 time: 0.0842 data_time: 0.0027 memory: 3207 2022/08/26 12:31:27 - mmengine - INFO - Epoch(val) [200][365/500] eta: 0:00:11 time: 0.8992 data_time: 0.0715 memory: 3207 2022/08/26 12:31:27 - mmengine - INFO - Epoch(val) [200][370/500] eta: 0:02:01 time: 0.9328 data_time: 0.1062 memory: 3207 2022/08/26 12:31:28 - mmengine - INFO - Epoch(val) [200][375/500] eta: 0:02:01 time: 0.1165 data_time: 0.0373 memory: 3207 2022/08/26 12:31:28 - mmengine - INFO - Epoch(val) [200][380/500] eta: 0:00:10 time: 0.0836 data_time: 0.0026 memory: 3207 2022/08/26 12:31:29 - mmengine - INFO - Epoch(val) [200][385/500] eta: 0:00:10 time: 0.1046 data_time: 0.0052 memory: 3207 2022/08/26 12:31:29 - mmengine - INFO - Epoch(val) [200][390/500] eta: 0:00:11 time: 0.1043 data_time: 0.0053 memory: 3207 2022/08/26 12:31:29 - mmengine - INFO - Epoch(val) [200][395/500] eta: 0:00:11 time: 0.0846 data_time: 0.0027 memory: 3207 2022/08/26 12:31:30 - mmengine - INFO - Epoch(val) [200][400/500] eta: 0:00:08 time: 0.0838 data_time: 0.0027 memory: 3207 2022/08/26 12:31:30 - mmengine - INFO - Epoch(val) [200][405/500] eta: 0:00:08 time: 0.0868 data_time: 0.0029 memory: 3207 2022/08/26 12:31:31 - mmengine - INFO - Epoch(val) [200][410/500] eta: 0:00:08 time: 0.0940 data_time: 0.0032 memory: 3207 2022/08/26 12:31:31 - mmengine - INFO - Epoch(val) [200][415/500] eta: 0:00:08 time: 0.0913 data_time: 0.0030 memory: 3207 2022/08/26 12:31:32 - mmengine - INFO - Epoch(val) [200][420/500] eta: 0:00:06 time: 0.0806 data_time: 0.0026 memory: 3207 2022/08/26 12:31:32 - mmengine - INFO - Epoch(val) [200][425/500] eta: 0:00:06 time: 0.0860 data_time: 0.0026 memory: 3207 2022/08/26 12:31:33 - mmengine - INFO - Epoch(val) [200][430/500] eta: 0:00:06 time: 0.0885 data_time: 0.0027 memory: 3207 2022/08/26 12:31:33 - mmengine - INFO - Epoch(val) [200][435/500] eta: 0:00:06 time: 0.0958 data_time: 0.0027 memory: 3207 2022/08/26 12:31:34 - mmengine - INFO - Epoch(val) [200][440/500] eta: 0:00:06 time: 0.1008 data_time: 0.0030 memory: 3207 2022/08/26 12:31:34 - mmengine - INFO - Epoch(val) [200][445/500] eta: 0:00:06 time: 0.0987 data_time: 0.0031 memory: 3207 2022/08/26 12:31:35 - mmengine - INFO - Epoch(val) [200][450/500] eta: 0:00:05 time: 0.1003 data_time: 0.0076 memory: 3207 2022/08/26 12:31:44 - mmengine - INFO - Epoch(val) [200][455/500] eta: 0:00:05 time: 0.8914 data_time: 0.2323 memory: 3207 2022/08/26 12:31:44 - mmengine - INFO - Epoch(val) [200][460/500] eta: 0:00:38 time: 0.9502 data_time: 0.2861 memory: 3207 2022/08/26 12:31:45 - mmengine - INFO - Epoch(val) [200][465/500] eta: 0:00:38 time: 0.1606 data_time: 0.0658 memory: 3207 2022/08/26 12:31:45 - mmengine - INFO - Epoch(val) [200][470/500] eta: 0:00:03 time: 0.1007 data_time: 0.0108 memory: 3207 2022/08/26 12:31:45 - mmengine - INFO - Epoch(val) [200][475/500] eta: 0:00:03 time: 0.0867 data_time: 0.0063 memory: 3207 2022/08/26 12:31:46 - mmengine - INFO - Epoch(val) [200][480/500] eta: 0:00:01 time: 0.0887 data_time: 0.0092 memory: 3207 2022/08/26 12:31:47 - mmengine - INFO - Epoch(val) [200][485/500] eta: 0:00:01 time: 0.1820 data_time: 0.0182 memory: 3207 2022/08/26 12:31:48 - mmengine - INFO - Epoch(val) [200][490/500] eta: 0:00:01 time: 0.1795 data_time: 0.0133 memory: 3207 2022/08/26 12:31:48 - mmengine - INFO - Epoch(val) [200][495/500] eta: 0:00:01 time: 0.1069 data_time: 0.0042 memory: 3207 2022/08/26 12:31:49 - mmengine - INFO - Epoch(val) [200][500/500] eta: 0:00:00 time: 0.1010 data_time: 0.0031 memory: 3207 2022/08/26 12:31:49 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 12:31:49 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7506, precision: 0.6216, hmean: 0.6800 2022/08/26 12:31:49 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7506, precision: 0.6216, hmean: 0.6800 2022/08/26 12:31:49 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7506, precision: 0.6216, hmean: 0.6800 2022/08/26 12:31:49 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7506, precision: 0.6640, hmean: 0.7046 2022/08/26 12:31:49 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7496, precision: 0.7232, hmean: 0.7362 2022/08/26 12:31:49 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7439, precision: 0.7756, hmean: 0.7594 2022/08/26 12:31:49 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7034, precision: 0.8514, hmean: 0.7704 2022/08/26 12:31:49 - mmengine - INFO - Epoch(val) [200][500/500] icdar/precision: 0.8514 icdar/recall: 0.7034 icdar/hmean: 0.7704 2022/08/26 12:33:33 - mmengine - INFO - Epoch(train) [201][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 10.8803 data_time: 9.1151 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0735 loss: 0.2353 2022/08/26 12:33:38 - mmengine - INFO - Epoch(train) [201][10/63] lr: 1.0000e-05 eta: 1 day, 2:33:41 time: 10.8961 data_time: 9.1561 memory: 28971 loss_text: 0.1601 loss_kernel: 0.0725 loss: 0.2326 2022/08/26 12:33:54 - mmengine - INFO - Epoch(train) [201][15/63] lr: 1.0000e-05 eta: 1 day, 2:33:41 time: 2.0604 data_time: 0.0727 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0656 loss: 0.2098 2022/08/26 12:33:58 - mmengine - INFO - Epoch(train) [201][20/63] lr: 1.0000e-05 eta: 1 day, 2:32:27 time: 1.9999 data_time: 0.0766 memory: 28971 loss_text: 0.1732 loss_kernel: 0.0784 loss: 0.2515 2022/08/26 12:34:13 - mmengine - INFO - Epoch(train) [201][25/63] lr: 1.0000e-05 eta: 1 day, 2:32:27 time: 1.9289 data_time: 0.1065 memory: 28971 loss_text: 0.1812 loss_kernel: 0.0819 loss: 0.2631 2022/08/26 12:34:18 - mmengine - INFO - Epoch(train) [201][30/63] lr: 1.0000e-05 eta: 1 day, 2:31:12 time: 1.9357 data_time: 0.1037 memory: 28971 loss_text: 0.1584 loss_kernel: 0.0720 loss: 0.2304 2022/08/26 12:34:34 - mmengine - INFO - Epoch(train) [201][35/63] lr: 1.0000e-05 eta: 1 day, 2:31:12 time: 2.0614 data_time: 0.2553 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0564 loss: 0.1764 2022/08/26 12:34:38 - mmengine - INFO - Epoch(train) [201][40/63] lr: 1.0000e-05 eta: 1 day, 2:29:59 time: 2.0492 data_time: 0.2470 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0587 loss: 0.1833 2022/08/26 12:34:55 - mmengine - INFO - Epoch(train) [201][45/63] lr: 1.0000e-05 eta: 1 day, 2:29:59 time: 2.1747 data_time: 0.1350 memory: 28971 loss_text: 0.1479 loss_kernel: 0.0679 loss: 0.2158 2022/08/26 12:35:10 - mmengine - INFO - Epoch(train) [201][50/63] lr: 1.0000e-05 eta: 1 day, 2:29:08 time: 3.1221 data_time: 0.1382 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0550 loss: 0.1726 2022/08/26 12:35:18 - mmengine - INFO - Epoch(train) [201][55/63] lr: 1.0000e-05 eta: 1 day, 2:29:08 time: 2.2599 data_time: 0.2480 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0595 loss: 0.1854 2022/08/26 12:35:37 - mmengine - INFO - Epoch(train) [201][60/63] lr: 1.0000e-05 eta: 1 day, 2:28:09 time: 2.7480 data_time: 0.3494 memory: 28971 loss_text: 0.1536 loss_kernel: 0.0715 loss: 0.2252 2022/08/26 12:35:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:37:29 - mmengine - INFO - Epoch(train) [202][5/63] lr: 1.0000e-05 eta: 1 day, 2:28:09 time: 11.8506 data_time: 9.4546 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0662 loss: 0.2105 2022/08/26 12:37:34 - mmengine - INFO - Epoch(train) [202][10/63] lr: 1.0000e-05 eta: 1 day, 2:29:26 time: 11.2727 data_time: 9.2713 memory: 28971 loss_text: 0.1643 loss_kernel: 0.0749 loss: 0.2392 2022/08/26 12:37:49 - mmengine - INFO - Epoch(train) [202][15/63] lr: 1.0000e-05 eta: 1 day, 2:29:26 time: 2.0384 data_time: 0.1224 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0646 loss: 0.2011 2022/08/26 12:37:54 - mmengine - INFO - Epoch(train) [202][20/63] lr: 1.0000e-05 eta: 1 day, 2:28:12 time: 1.9942 data_time: 0.1352 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0631 loss: 0.1954 2022/08/26 12:38:13 - mmengine - INFO - Epoch(train) [202][25/63] lr: 1.0000e-05 eta: 1 day, 2:28:12 time: 2.3908 data_time: 0.1877 memory: 28971 loss_text: 0.1526 loss_kernel: 0.0717 loss: 0.2243 2022/08/26 12:38:18 - mmengine - INFO - Epoch(train) [202][30/63] lr: 1.0000e-05 eta: 1 day, 2:27:05 time: 2.3305 data_time: 0.1757 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0695 loss: 0.2197 2022/08/26 12:38:33 - mmengine - INFO - Epoch(train) [202][35/63] lr: 1.0000e-05 eta: 1 day, 2:27:05 time: 1.9431 data_time: 0.1534 memory: 28971 loss_text: 0.1318 loss_kernel: 0.0615 loss: 0.1933 2022/08/26 12:38:45 - mmengine - INFO - Epoch(train) [202][40/63] lr: 1.0000e-05 eta: 1 day, 2:26:06 time: 2.6942 data_time: 0.1682 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0657 loss: 0.2035 2022/08/26 12:38:55 - mmengine - INFO - Epoch(train) [202][45/63] lr: 1.0000e-05 eta: 1 day, 2:26:06 time: 2.2896 data_time: 0.1331 memory: 28971 loss_text: 0.1516 loss_kernel: 0.0710 loss: 0.2227 2022/08/26 12:39:05 - mmengine - INFO - Epoch(train) [202][50/63] lr: 1.0000e-05 eta: 1 day, 2:24:53 time: 2.0500 data_time: 0.1175 memory: 28971 loss_text: 0.1302 loss_kernel: 0.0615 loss: 0.1917 2022/08/26 12:39:15 - mmengine - INFO - Epoch(train) [202][55/63] lr: 1.0000e-05 eta: 1 day, 2:24:53 time: 1.9188 data_time: 0.1455 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0607 loss: 0.1891 2022/08/26 12:39:30 - mmengine - INFO - Epoch(train) [202][60/63] lr: 1.0000e-05 eta: 1 day, 2:23:49 time: 2.4515 data_time: 0.1304 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0697 loss: 0.2187 2022/08/26 12:39:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:41:22 - mmengine - INFO - Epoch(train) [203][5/63] lr: 1.0000e-05 eta: 1 day, 2:23:49 time: 12.3779 data_time: 9.1829 memory: 28971 loss_text: 0.1263 loss_kernel: 0.0603 loss: 0.1866 2022/08/26 12:41:27 - mmengine - INFO - Epoch(train) [203][10/63] lr: 1.0000e-05 eta: 1 day, 2:24:56 time: 10.8323 data_time: 9.1770 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0649 loss: 0.2047 2022/08/26 12:41:42 - mmengine - INFO - Epoch(train) [203][15/63] lr: 1.0000e-05 eta: 1 day, 2:24:56 time: 1.9792 data_time: 0.1321 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0655 loss: 0.2059 2022/08/26 12:41:46 - mmengine - INFO - Epoch(train) [203][20/63] lr: 1.0000e-05 eta: 1 day, 2:23:41 time: 1.8834 data_time: 0.1123 memory: 28971 loss_text: 0.1167 loss_kernel: 0.0551 loss: 0.1718 2022/08/26 12:42:01 - mmengine - INFO - Epoch(train) [203][25/63] lr: 1.0000e-05 eta: 1 day, 2:23:41 time: 1.9306 data_time: 0.1249 memory: 28971 loss_text: 0.1112 loss_kernel: 0.0533 loss: 0.1645 2022/08/26 12:42:06 - mmengine - INFO - Epoch(train) [203][30/63] lr: 1.0000e-05 eta: 1 day, 2:22:27 time: 1.9805 data_time: 0.1443 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0553 loss: 0.1742 2022/08/26 12:42:30 - mmengine - INFO - Epoch(train) [203][35/63] lr: 1.0000e-05 eta: 1 day, 2:22:27 time: 2.9314 data_time: 0.2909 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0630 loss: 0.2008 2022/08/26 12:42:35 - mmengine - INFO - Epoch(train) [203][40/63] lr: 1.0000e-05 eta: 1 day, 2:21:33 time: 2.9496 data_time: 0.3242 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0666 loss: 0.2124 2022/08/26 12:42:52 - mmengine - INFO - Epoch(train) [203][45/63] lr: 1.0000e-05 eta: 1 day, 2:21:33 time: 2.2086 data_time: 0.1912 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0647 loss: 0.2051 2022/08/26 12:42:57 - mmengine - INFO - Epoch(train) [203][50/63] lr: 1.0000e-05 eta: 1 day, 2:20:23 time: 2.1775 data_time: 0.1633 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0727 loss: 0.2276 2022/08/26 12:43:21 - mmengine - INFO - Epoch(train) [203][55/63] lr: 1.0000e-05 eta: 1 day, 2:20:23 time: 2.7917 data_time: 0.2145 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0679 loss: 0.2132 2022/08/26 12:43:30 - mmengine - INFO - Epoch(train) [203][60/63] lr: 1.0000e-05 eta: 1 day, 2:19:35 time: 3.2824 data_time: 0.2580 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0581 loss: 0.1813 2022/08/26 12:43:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:45:17 - mmengine - INFO - Epoch(train) [204][5/63] lr: 1.0000e-05 eta: 1 day, 2:19:35 time: 11.1218 data_time: 9.1988 memory: 28971 loss_text: 0.1217 loss_kernel: 0.0581 loss: 0.1797 2022/08/26 12:45:23 - mmengine - INFO - Epoch(train) [204][10/63] lr: 1.0000e-05 eta: 1 day, 2:20:42 time: 10.8451 data_time: 9.2205 memory: 28971 loss_text: 0.1532 loss_kernel: 0.0695 loss: 0.2227 2022/08/26 12:45:38 - mmengine - INFO - Epoch(train) [204][15/63] lr: 1.0000e-05 eta: 1 day, 2:20:42 time: 2.0601 data_time: 0.1184 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0616 loss: 0.1965 2022/08/26 12:45:43 - mmengine - INFO - Epoch(train) [204][20/63] lr: 1.0000e-05 eta: 1 day, 2:19:29 time: 2.0273 data_time: 0.1479 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0617 loss: 0.1923 2022/08/26 12:45:56 - mmengine - INFO - Epoch(train) [204][25/63] lr: 1.0000e-05 eta: 1 day, 2:19:29 time: 1.7730 data_time: 0.1577 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0650 loss: 0.2036 2022/08/26 12:46:01 - mmengine - INFO - Epoch(train) [204][30/63] lr: 1.0000e-05 eta: 1 day, 2:18:12 time: 1.7467 data_time: 0.0969 memory: 28971 loss_text: 0.1306 loss_kernel: 0.0613 loss: 0.1919 2022/08/26 12:46:13 - mmengine - INFO - Epoch(train) [204][35/63] lr: 1.0000e-05 eta: 1 day, 2:18:12 time: 1.6961 data_time: 0.1075 memory: 28971 loss_text: 0.1116 loss_kernel: 0.0538 loss: 0.1655 2022/08/26 12:46:17 - mmengine - INFO - Epoch(train) [204][40/63] lr: 1.0000e-05 eta: 1 day, 2:16:52 time: 1.6422 data_time: 0.0966 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0587 loss: 0.1831 2022/08/26 12:46:27 - mmengine - INFO - Epoch(train) [204][45/63] lr: 1.0000e-05 eta: 1 day, 2:16:52 time: 1.4672 data_time: 0.0735 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0590 loss: 0.1855 2022/08/26 12:46:33 - mmengine - INFO - Epoch(train) [204][50/63] lr: 1.0000e-05 eta: 1 day, 2:15:31 time: 1.5908 data_time: 0.1161 memory: 28971 loss_text: 0.1066 loss_kernel: 0.0505 loss: 0.1571 2022/08/26 12:46:51 - mmengine - INFO - Epoch(train) [204][55/63] lr: 1.0000e-05 eta: 1 day, 2:15:31 time: 2.3205 data_time: 0.1734 memory: 28971 loss_text: 0.1119 loss_kernel: 0.0518 loss: 0.1637 2022/08/26 12:46:58 - mmengine - INFO - Epoch(train) [204][60/63] lr: 1.0000e-05 eta: 1 day, 2:14:29 time: 2.5125 data_time: 0.1823 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0540 loss: 0.1684 2022/08/26 12:47:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:48:57 - mmengine - INFO - Epoch(train) [205][5/63] lr: 1.0000e-05 eta: 1 day, 2:14:29 time: 12.2223 data_time: 9.1195 memory: 28971 loss_text: 0.1234 loss_kernel: 0.0584 loss: 0.1818 2022/08/26 12:49:13 - mmengine - INFO - Epoch(train) [205][10/63] lr: 1.0000e-05 eta: 1 day, 2:15:58 time: 12.0649 data_time: 9.2013 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0583 loss: 0.1815 2022/08/26 12:49:18 - mmengine - INFO - Epoch(train) [205][15/63] lr: 1.0000e-05 eta: 1 day, 2:15:58 time: 2.1952 data_time: 0.1662 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0600 loss: 0.1876 2022/08/26 12:49:34 - mmengine - INFO - Epoch(train) [205][20/63] lr: 1.0000e-05 eta: 1 day, 2:14:47 time: 2.0797 data_time: 0.1358 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0546 loss: 0.1735 2022/08/26 12:49:39 - mmengine - INFO - Epoch(train) [205][25/63] lr: 1.0000e-05 eta: 1 day, 2:14:47 time: 2.0240 data_time: 0.1385 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0614 loss: 0.1979 2022/08/26 12:49:48 - mmengine - INFO - Epoch(train) [205][30/63] lr: 1.0000e-05 eta: 1 day, 2:13:23 time: 1.3934 data_time: 0.0920 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0570 loss: 0.1816 2022/08/26 12:49:57 - mmengine - INFO - Epoch(train) [205][35/63] lr: 1.0000e-05 eta: 1 day, 2:13:23 time: 1.8427 data_time: 0.0697 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0615 loss: 0.1944 2022/08/26 12:50:15 - mmengine - INFO - Epoch(train) [205][40/63] lr: 1.0000e-05 eta: 1 day, 2:12:24 time: 2.7190 data_time: 0.1257 memory: 28971 loss_text: 0.1692 loss_kernel: 0.0783 loss: 0.2475 2022/08/26 12:50:20 - mmengine - INFO - Epoch(train) [205][45/63] lr: 1.0000e-05 eta: 1 day, 2:12:24 time: 2.2715 data_time: 0.1690 memory: 28971 loss_text: 0.1579 loss_kernel: 0.0741 loss: 0.2320 2022/08/26 12:50:39 - mmengine - INFO - Epoch(train) [205][50/63] lr: 1.0000e-05 eta: 1 day, 2:11:19 time: 2.3889 data_time: 0.1714 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0641 loss: 0.1961 2022/08/26 12:50:44 - mmengine - INFO - Epoch(train) [205][55/63] lr: 1.0000e-05 eta: 1 day, 2:11:19 time: 2.4075 data_time: 0.1520 memory: 28971 loss_text: 0.1080 loss_kernel: 0.0527 loss: 0.1606 2022/08/26 12:51:06 - mmengine - INFO - Epoch(train) [205][60/63] lr: 1.0000e-05 eta: 1 day, 2:10:20 time: 2.7089 data_time: 0.1937 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0576 loss: 0.1804 2022/08/26 12:51:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:52:56 - mmengine - INFO - Epoch(train) [206][5/63] lr: 1.0000e-05 eta: 1 day, 2:10:20 time: 11.1867 data_time: 9.4558 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0552 loss: 0.1715 2022/08/26 12:53:14 - mmengine - INFO - Epoch(train) [206][10/63] lr: 1.0000e-05 eta: 1 day, 2:11:55 time: 12.3938 data_time: 9.4487 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0584 loss: 0.1816 2022/08/26 12:53:20 - mmengine - INFO - Epoch(train) [206][15/63] lr: 1.0000e-05 eta: 1 day, 2:11:55 time: 2.4019 data_time: 0.2207 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0625 loss: 0.1960 2022/08/26 12:53:41 - mmengine - INFO - Epoch(train) [206][20/63] lr: 1.0000e-05 eta: 1 day, 2:10:57 time: 2.7260 data_time: 0.4651 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0642 loss: 0.2016 2022/08/26 12:53:45 - mmengine - INFO - Epoch(train) [206][25/63] lr: 1.0000e-05 eta: 1 day, 2:10:57 time: 2.5687 data_time: 0.3135 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0647 loss: 0.2051 2022/08/26 12:54:09 - mmengine - INFO - Epoch(train) [206][30/63] lr: 1.0000e-05 eta: 1 day, 2:10:00 time: 2.8389 data_time: 0.1499 memory: 28971 loss_text: 0.1578 loss_kernel: 0.0741 loss: 0.2319 2022/08/26 12:54:26 - mmengine - INFO - Epoch(train) [206][35/63] lr: 1.0000e-05 eta: 1 day, 2:10:00 time: 4.0525 data_time: 0.1775 memory: 28971 loss_text: 0.1961 loss_kernel: 0.0887 loss: 0.2848 2022/08/26 12:54:31 - mmengine - INFO - Epoch(train) [206][40/63] lr: 1.0000e-05 eta: 1 day, 2:08:52 time: 2.2184 data_time: 0.1339 memory: 28971 loss_text: 0.1701 loss_kernel: 0.0757 loss: 0.2458 2022/08/26 12:54:46 - mmengine - INFO - Epoch(train) [206][45/63] lr: 1.0000e-05 eta: 1 day, 2:08:52 time: 1.9974 data_time: 0.2532 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0658 loss: 0.2005 2022/08/26 12:54:51 - mmengine - INFO - Epoch(train) [206][50/63] lr: 1.0000e-05 eta: 1 day, 2:07:40 time: 1.9859 data_time: 0.2580 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0597 loss: 0.1810 2022/08/26 12:55:07 - mmengine - INFO - Epoch(train) [206][55/63] lr: 1.0000e-05 eta: 1 day, 2:07:40 time: 2.1012 data_time: 0.0999 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0547 loss: 0.1698 2022/08/26 12:55:23 - mmengine - INFO - Epoch(train) [206][60/63] lr: 1.0000e-05 eta: 1 day, 2:06:52 time: 3.2350 data_time: 0.1988 memory: 28971 loss_text: 0.1375 loss_kernel: 0.0653 loss: 0.2028 2022/08/26 12:55:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:57:40 - mmengine - INFO - Epoch(train) [207][5/63] lr: 1.0000e-05 eta: 1 day, 2:06:52 time: 14.8218 data_time: 9.6927 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0691 loss: 0.2184 2022/08/26 12:57:57 - mmengine - INFO - Epoch(train) [207][10/63] lr: 1.0000e-05 eta: 1 day, 2:08:43 time: 13.3453 data_time: 9.6675 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0639 loss: 0.2000 2022/08/26 12:58:07 - mmengine - INFO - Epoch(train) [207][15/63] lr: 1.0000e-05 eta: 1 day, 2:08:43 time: 2.6916 data_time: 0.0955 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0624 loss: 0.1942 2022/08/26 12:58:20 - mmengine - INFO - Epoch(train) [207][20/63] lr: 1.0000e-05 eta: 1 day, 2:07:33 time: 2.1177 data_time: 0.1110 memory: 28971 loss_text: 0.1067 loss_kernel: 0.0525 loss: 0.1592 2022/08/26 12:58:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 12:58:31 - mmengine - INFO - Epoch(train) [207][25/63] lr: 1.0000e-05 eta: 1 day, 2:07:33 time: 2.4119 data_time: 0.3173 memory: 28971 loss_text: 0.0956 loss_kernel: 0.0471 loss: 0.1427 2022/08/26 12:58:48 - mmengine - INFO - Epoch(train) [207][30/63] lr: 1.0000e-05 eta: 1 day, 2:06:40 time: 2.9963 data_time: 0.2776 memory: 28971 loss_text: 0.1066 loss_kernel: 0.0501 loss: 0.1567 2022/08/26 12:58:53 - mmengine - INFO - Epoch(train) [207][35/63] lr: 1.0000e-05 eta: 1 day, 2:06:40 time: 2.2579 data_time: 0.1155 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0588 loss: 0.1849 2022/08/26 12:59:08 - mmengine - INFO - Epoch(train) [207][40/63] lr: 1.0000e-05 eta: 1 day, 2:05:27 time: 1.9393 data_time: 0.0965 memory: 28971 loss_text: 0.1463 loss_kernel: 0.0659 loss: 0.2122 2022/08/26 12:59:12 - mmengine - INFO - Epoch(train) [207][45/63] lr: 1.0000e-05 eta: 1 day, 2:05:27 time: 1.8718 data_time: 0.0645 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0661 loss: 0.2119 2022/08/26 12:59:27 - mmengine - INFO - Epoch(train) [207][50/63] lr: 1.0000e-05 eta: 1 day, 2:04:14 time: 1.9561 data_time: 0.1018 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0686 loss: 0.2161 2022/08/26 12:59:46 - mmengine - INFO - Epoch(train) [207][55/63] lr: 1.0000e-05 eta: 1 day, 2:04:14 time: 3.3409 data_time: 0.0957 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0654 loss: 0.2065 2022/08/26 13:00:03 - mmengine - INFO - Epoch(train) [207][60/63] lr: 1.0000e-05 eta: 1 day, 2:03:33 time: 3.6017 data_time: 0.2546 memory: 28971 loss_text: 0.1487 loss_kernel: 0.0688 loss: 0.2175 2022/08/26 13:00:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:01:53 - mmengine - INFO - Epoch(train) [208][5/63] lr: 1.0000e-05 eta: 1 day, 2:03:33 time: 12.1320 data_time: 9.4078 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0630 loss: 0.2004 2022/08/26 13:01:58 - mmengine - INFO - Epoch(train) [208][10/63] lr: 1.0000e-05 eta: 1 day, 2:04:39 time: 10.9918 data_time: 9.3612 memory: 28971 loss_text: 0.1223 loss_kernel: 0.0574 loss: 0.1796 2022/08/26 13:02:14 - mmengine - INFO - Epoch(train) [208][15/63] lr: 1.0000e-05 eta: 1 day, 2:04:39 time: 2.1329 data_time: 0.1054 memory: 28971 loss_text: 0.1178 loss_kernel: 0.0552 loss: 0.1730 2022/08/26 13:02:19 - mmengine - INFO - Epoch(train) [208][20/63] lr: 1.0000e-05 eta: 1 day, 2:03:30 time: 2.1466 data_time: 0.1294 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0565 loss: 0.1792 2022/08/26 13:02:35 - mmengine - INFO - Epoch(train) [208][25/63] lr: 1.0000e-05 eta: 1 day, 2:03:30 time: 2.0899 data_time: 0.1467 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0556 loss: 0.1771 2022/08/26 13:02:40 - mmengine - INFO - Epoch(train) [208][30/63] lr: 1.0000e-05 eta: 1 day, 2:02:19 time: 2.0445 data_time: 0.1166 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0670 loss: 0.2150 2022/08/26 13:02:50 - mmengine - INFO - Epoch(train) [208][35/63] lr: 1.0000e-05 eta: 1 day, 2:02:19 time: 1.5049 data_time: 0.1052 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0675 loss: 0.2139 2022/08/26 13:02:54 - mmengine - INFO - Epoch(train) [208][40/63] lr: 1.0000e-05 eta: 1 day, 2:00:57 time: 1.4570 data_time: 0.0773 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0620 loss: 0.1946 2022/08/26 13:02:59 - mmengine - INFO - Epoch(train) [208][45/63] lr: 1.0000e-05 eta: 1 day, 2:00:57 time: 0.8800 data_time: 0.0409 memory: 28971 loss_text: 0.1111 loss_kernel: 0.0525 loss: 0.1636 2022/08/26 13:03:05 - mmengine - INFO - Epoch(train) [208][50/63] lr: 1.0000e-05 eta: 1 day, 1:59:28 time: 1.1283 data_time: 0.0360 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0578 loss: 0.1820 2022/08/26 13:03:10 - mmengine - INFO - Epoch(train) [208][55/63] lr: 1.0000e-05 eta: 1 day, 1:59:28 time: 1.1299 data_time: 0.0304 memory: 28971 loss_text: 0.1657 loss_kernel: 0.0751 loss: 0.2408 2022/08/26 13:03:17 - mmengine - INFO - Epoch(train) [208][60/63] lr: 1.0000e-05 eta: 1 day, 1:58:01 time: 1.1812 data_time: 0.0627 memory: 28971 loss_text: 0.1479 loss_kernel: 0.0680 loss: 0.2160 2022/08/26 13:03:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:04:52 - mmengine - INFO - Epoch(train) [209][5/63] lr: 1.0000e-05 eta: 1 day, 1:58:01 time: 9.8182 data_time: 8.6361 memory: 28971 loss_text: 0.1062 loss_kernel: 0.0506 loss: 0.1568 2022/08/26 13:04:56 - mmengine - INFO - Epoch(train) [209][10/63] lr: 1.0000e-05 eta: 1 day, 1:58:41 time: 9.6314 data_time: 8.6380 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0610 loss: 0.1925 2022/08/26 13:05:06 - mmengine - INFO - Epoch(train) [209][15/63] lr: 1.0000e-05 eta: 1 day, 1:58:41 time: 1.4579 data_time: 0.0413 memory: 28971 loss_text: 0.1303 loss_kernel: 0.0601 loss: 0.1904 2022/08/26 13:05:11 - mmengine - INFO - Epoch(train) [209][20/63] lr: 1.0000e-05 eta: 1 day, 1:57:20 time: 1.4842 data_time: 0.0525 memory: 28971 loss_text: 0.1047 loss_kernel: 0.0502 loss: 0.1549 2022/08/26 13:05:19 - mmengine - INFO - Epoch(train) [209][25/63] lr: 1.0000e-05 eta: 1 day, 1:57:20 time: 1.2446 data_time: 0.0638 memory: 28971 loss_text: 0.1060 loss_kernel: 0.0515 loss: 0.1575 2022/08/26 13:05:24 - mmengine - INFO - Epoch(train) [209][30/63] lr: 1.0000e-05 eta: 1 day, 1:55:56 time: 1.3322 data_time: 0.0570 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0601 loss: 0.1843 2022/08/26 13:05:30 - mmengine - INFO - Epoch(train) [209][35/63] lr: 1.0000e-05 eta: 1 day, 1:55:56 time: 1.1218 data_time: 0.0753 memory: 28971 loss_text: 0.1564 loss_kernel: 0.0719 loss: 0.2283 2022/08/26 13:05:37 - mmengine - INFO - Epoch(train) [209][40/63] lr: 1.0000e-05 eta: 1 day, 1:54:31 time: 1.2835 data_time: 0.0519 memory: 28971 loss_text: 0.1674 loss_kernel: 0.0754 loss: 0.2428 2022/08/26 13:05:44 - mmengine - INFO - Epoch(train) [209][45/63] lr: 1.0000e-05 eta: 1 day, 1:54:31 time: 1.3793 data_time: 0.0345 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0677 loss: 0.2149 2022/08/26 13:05:55 - mmengine - INFO - Epoch(train) [209][50/63] lr: 1.0000e-05 eta: 1 day, 1:53:16 time: 1.7783 data_time: 0.0702 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0570 loss: 0.1798 2022/08/26 13:05:59 - mmengine - INFO - Epoch(train) [209][55/63] lr: 1.0000e-05 eta: 1 day, 1:53:16 time: 1.5488 data_time: 0.0644 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0571 loss: 0.1804 2022/08/26 13:06:07 - mmengine - INFO - Epoch(train) [209][60/63] lr: 1.0000e-05 eta: 1 day, 1:51:49 time: 1.1552 data_time: 0.0367 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0724 loss: 0.2289 2022/08/26 13:06:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:08:03 - mmengine - INFO - Epoch(train) [210][5/63] lr: 1.0000e-05 eta: 1 day, 1:51:49 time: 11.9177 data_time: 9.1563 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0679 loss: 0.2154 2022/08/26 13:08:20 - mmengine - INFO - Epoch(train) [210][10/63] lr: 1.0000e-05 eta: 1 day, 1:53:30 time: 12.9488 data_time: 9.2022 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0660 loss: 0.2092 2022/08/26 13:08:26 - mmengine - INFO - Epoch(train) [210][15/63] lr: 1.0000e-05 eta: 1 day, 1:53:30 time: 2.3743 data_time: 0.1970 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0656 loss: 0.2021 2022/08/26 13:08:47 - mmengine - INFO - Epoch(train) [210][20/63] lr: 1.0000e-05 eta: 1 day, 1:52:32 time: 2.7095 data_time: 0.2016 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0712 loss: 0.2219 2022/08/26 13:08:52 - mmengine - INFO - Epoch(train) [210][25/63] lr: 1.0000e-05 eta: 1 day, 1:52:32 time: 2.5525 data_time: 0.1285 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0600 loss: 0.1873 2022/08/26 13:09:13 - mmengine - INFO - Epoch(train) [210][30/63] lr: 1.0000e-05 eta: 1 day, 1:51:32 time: 2.6292 data_time: 0.1204 memory: 28971 loss_text: 0.1124 loss_kernel: 0.0537 loss: 0.1661 2022/08/26 13:09:18 - mmengine - INFO - Epoch(train) [210][35/63] lr: 1.0000e-05 eta: 1 day, 1:51:32 time: 2.5935 data_time: 0.0976 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0576 loss: 0.1791 2022/08/26 13:09:37 - mmengine - INFO - Epoch(train) [210][40/63] lr: 1.0000e-05 eta: 1 day, 1:50:28 time: 2.3566 data_time: 0.0847 memory: 28971 loss_text: 0.1160 loss_kernel: 0.0542 loss: 0.1701 2022/08/26 13:09:52 - mmengine - INFO - Epoch(train) [210][45/63] lr: 1.0000e-05 eta: 1 day, 1:50:28 time: 3.3827 data_time: 0.1152 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0540 loss: 0.1704 2022/08/26 13:10:04 - mmengine - INFO - Epoch(train) [210][50/63] lr: 1.0000e-05 eta: 1 day, 1:49:31 time: 2.7729 data_time: 0.2075 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0548 loss: 0.1737 2022/08/26 13:10:21 - mmengine - INFO - Epoch(train) [210][55/63] lr: 1.0000e-05 eta: 1 day, 1:49:31 time: 2.8734 data_time: 0.3295 memory: 28971 loss_text: 0.1157 loss_kernel: 0.0535 loss: 0.1693 2022/08/26 13:10:38 - mmengine - INFO - Epoch(train) [210][60/63] lr: 1.0000e-05 eta: 1 day, 1:48:44 time: 3.2933 data_time: 0.3197 memory: 28971 loss_text: 0.1448 loss_kernel: 0.0671 loss: 0.2119 2022/08/26 13:10:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:12:36 - mmengine - INFO - Epoch(train) [211][5/63] lr: 1.0000e-05 eta: 1 day, 1:48:44 time: 13.0325 data_time: 9.9061 memory: 28971 loss_text: 0.1693 loss_kernel: 0.0773 loss: 0.2465 2022/08/26 13:12:42 - mmengine - INFO - Epoch(train) [211][10/63] lr: 1.0000e-05 eta: 1 day, 1:50:01 time: 11.6817 data_time: 9.7357 memory: 28971 loss_text: 0.1612 loss_kernel: 0.0739 loss: 0.2351 2022/08/26 13:13:02 - mmengine - INFO - Epoch(train) [211][15/63] lr: 1.0000e-05 eta: 1 day, 1:50:01 time: 2.5933 data_time: 0.1334 memory: 28971 loss_text: 0.1342 loss_kernel: 0.0628 loss: 0.1970 2022/08/26 13:13:07 - mmengine - INFO - Epoch(train) [211][20/63] lr: 1.0000e-05 eta: 1 day, 1:48:59 time: 2.4762 data_time: 0.0970 memory: 28971 loss_text: 0.1427 loss_kernel: 0.0659 loss: 0.2086 2022/08/26 13:13:24 - mmengine - INFO - Epoch(train) [211][25/63] lr: 1.0000e-05 eta: 1 day, 1:48:59 time: 2.1792 data_time: 0.1260 memory: 28971 loss_text: 0.1535 loss_kernel: 0.0709 loss: 0.2244 2022/08/26 13:13:29 - mmengine - INFO - Epoch(train) [211][30/63] lr: 1.0000e-05 eta: 1 day, 1:47:51 time: 2.2011 data_time: 0.1499 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0657 loss: 0.2080 2022/08/26 13:13:42 - mmengine - INFO - Epoch(train) [211][35/63] lr: 1.0000e-05 eta: 1 day, 1:47:51 time: 1.8366 data_time: 0.1352 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0597 loss: 0.1870 2022/08/26 13:13:47 - mmengine - INFO - Epoch(train) [211][40/63] lr: 1.0000e-05 eta: 1 day, 1:46:38 time: 1.8546 data_time: 0.1358 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0607 loss: 0.1889 2022/08/26 13:14:08 - mmengine - INFO - Epoch(train) [211][45/63] lr: 1.0000e-05 eta: 1 day, 1:46:38 time: 2.5222 data_time: 0.1145 memory: 28971 loss_text: 0.1433 loss_kernel: 0.0658 loss: 0.2091 2022/08/26 13:14:12 - mmengine - INFO - Epoch(train) [211][50/63] lr: 1.0000e-05 eta: 1 day, 1:45:37 time: 2.5300 data_time: 0.1190 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0592 loss: 0.1870 2022/08/26 13:14:33 - mmengine - INFO - Epoch(train) [211][55/63] lr: 1.0000e-05 eta: 1 day, 1:45:37 time: 2.5486 data_time: 0.1788 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0656 loss: 0.2060 2022/08/26 13:14:38 - mmengine - INFO - Epoch(train) [211][60/63] lr: 1.0000e-05 eta: 1 day, 1:44:36 time: 2.5485 data_time: 0.2057 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0630 loss: 0.1960 2022/08/26 13:14:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:16:42 - mmengine - INFO - Epoch(train) [212][5/63] lr: 1.0000e-05 eta: 1 day, 1:44:36 time: 12.4872 data_time: 9.3284 memory: 28971 loss_text: 0.1690 loss_kernel: 0.0768 loss: 0.2458 2022/08/26 13:16:47 - mmengine - INFO - Epoch(train) [212][10/63] lr: 1.0000e-05 eta: 1 day, 1:45:41 time: 11.1234 data_time: 9.3651 memory: 28971 loss_text: 0.1575 loss_kernel: 0.0730 loss: 0.2305 2022/08/26 13:17:03 - mmengine - INFO - Epoch(train) [212][15/63] lr: 1.0000e-05 eta: 1 day, 1:45:41 time: 2.1383 data_time: 0.0600 memory: 28971 loss_text: 0.1203 loss_kernel: 0.0569 loss: 0.1772 2022/08/26 13:17:08 - mmengine - INFO - Epoch(train) [212][20/63] lr: 1.0000e-05 eta: 1 day, 1:44:33 time: 2.1295 data_time: 0.0637 memory: 28971 loss_text: 0.0926 loss_kernel: 0.0452 loss: 0.1377 2022/08/26 13:17:27 - mmengine - INFO - Epoch(train) [212][25/63] lr: 1.0000e-05 eta: 1 day, 1:44:33 time: 2.3724 data_time: 0.0845 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0620 loss: 0.1930 2022/08/26 13:17:32 - mmengine - INFO - Epoch(train) [212][30/63] lr: 1.0000e-05 eta: 1 day, 1:43:28 time: 2.3153 data_time: 0.0597 memory: 28971 loss_text: 0.1479 loss_kernel: 0.0685 loss: 0.2164 2022/08/26 13:17:46 - mmengine - INFO - Epoch(train) [212][35/63] lr: 1.0000e-05 eta: 1 day, 1:43:28 time: 1.9457 data_time: 0.0634 memory: 28971 loss_text: 0.1108 loss_kernel: 0.0519 loss: 0.1627 2022/08/26 13:17:52 - mmengine - INFO - Epoch(train) [212][40/63] lr: 1.0000e-05 eta: 1 day, 1:42:18 time: 2.0054 data_time: 0.1021 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0548 loss: 0.1704 2022/08/26 13:18:07 - mmengine - INFO - Epoch(train) [212][45/63] lr: 1.0000e-05 eta: 1 day, 1:42:18 time: 2.0645 data_time: 0.0905 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0620 loss: 0.1893 2022/08/26 13:18:12 - mmengine - INFO - Epoch(train) [212][50/63] lr: 1.0000e-05 eta: 1 day, 1:41:08 time: 2.0078 data_time: 0.0840 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0620 loss: 0.1904 2022/08/26 13:18:30 - mmengine - INFO - Epoch(train) [212][55/63] lr: 1.0000e-05 eta: 1 day, 1:41:08 time: 2.2443 data_time: 0.1776 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0635 loss: 0.1971 2022/08/26 13:18:34 - mmengine - INFO - Epoch(train) [212][60/63] lr: 1.0000e-05 eta: 1 day, 1:40:02 time: 2.2660 data_time: 0.2089 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0641 loss: 0.2021 2022/08/26 13:18:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:20:24 - mmengine - INFO - Epoch(train) [213][5/63] lr: 1.0000e-05 eta: 1 day, 1:40:02 time: 11.0857 data_time: 9.5796 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0586 loss: 0.1813 2022/08/26 13:20:29 - mmengine - INFO - Epoch(train) [213][10/63] lr: 1.0000e-05 eta: 1 day, 1:41:05 time: 11.0372 data_time: 9.5828 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0648 loss: 0.2032 2022/08/26 13:20:42 - mmengine - INFO - Epoch(train) [213][15/63] lr: 1.0000e-05 eta: 1 day, 1:41:05 time: 1.8526 data_time: 0.0780 memory: 28971 loss_text: 0.1529 loss_kernel: 0.0712 loss: 0.2242 2022/08/26 13:20:47 - mmengine - INFO - Epoch(train) [213][20/63] lr: 1.0000e-05 eta: 1 day, 1:39:51 time: 1.8164 data_time: 0.1038 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0645 loss: 0.2028 2022/08/26 13:21:04 - mmengine - INFO - Epoch(train) [213][25/63] lr: 1.0000e-05 eta: 1 day, 1:39:51 time: 2.1698 data_time: 0.2192 memory: 28971 loss_text: 0.1582 loss_kernel: 0.0728 loss: 0.2310 2022/08/26 13:21:09 - mmengine - INFO - Epoch(train) [213][30/63] lr: 1.0000e-05 eta: 1 day, 1:38:43 time: 2.1552 data_time: 0.2020 memory: 28971 loss_text: 0.1791 loss_kernel: 0.0821 loss: 0.2612 2022/08/26 13:21:29 - mmengine - INFO - Epoch(train) [213][35/63] lr: 1.0000e-05 eta: 1 day, 1:38:43 time: 2.4952 data_time: 0.3935 memory: 28971 loss_text: 0.1503 loss_kernel: 0.0695 loss: 0.2198 2022/08/26 13:21:34 - mmengine - INFO - Epoch(train) [213][40/63] lr: 1.0000e-05 eta: 1 day, 1:37:43 time: 2.5213 data_time: 0.3842 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0605 loss: 0.1863 2022/08/26 13:21:49 - mmengine - INFO - Epoch(train) [213][45/63] lr: 1.0000e-05 eta: 1 day, 1:37:43 time: 1.9955 data_time: 0.2379 memory: 28971 loss_text: 0.1701 loss_kernel: 0.0779 loss: 0.2480 2022/08/26 13:22:09 - mmengine - INFO - Epoch(train) [213][50/63] lr: 1.0000e-05 eta: 1 day, 1:37:00 time: 3.5288 data_time: 0.3169 memory: 28971 loss_text: 0.1737 loss_kernel: 0.0796 loss: 0.2533 2022/08/26 13:22:14 - mmengine - INFO - Epoch(train) [213][55/63] lr: 1.0000e-05 eta: 1 day, 1:37:00 time: 2.5036 data_time: 0.1492 memory: 28971 loss_text: 0.1466 loss_kernel: 0.0696 loss: 0.2162 2022/08/26 13:22:34 - mmengine - INFO - Epoch(train) [213][60/63] lr: 1.0000e-05 eta: 1 day, 1:35:58 time: 2.4325 data_time: 0.1729 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0645 loss: 0.2032 2022/08/26 13:22:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:24:26 - mmengine - INFO - Epoch(train) [214][5/63] lr: 1.0000e-05 eta: 1 day, 1:35:58 time: 11.3952 data_time: 9.6140 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0663 loss: 0.2083 2022/08/26 13:24:32 - mmengine - INFO - Epoch(train) [214][10/63] lr: 1.0000e-05 eta: 1 day, 1:37:06 time: 11.3514 data_time: 9.5907 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0572 loss: 0.1771 2022/08/26 13:24:51 - mmengine - INFO - Epoch(train) [214][15/63] lr: 1.0000e-05 eta: 1 day, 1:37:06 time: 2.5271 data_time: 0.0874 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0601 loss: 0.1879 2022/08/26 13:24:56 - mmengine - INFO - Epoch(train) [214][20/63] lr: 1.0000e-05 eta: 1 day, 1:36:04 time: 2.4667 data_time: 0.0872 memory: 28971 loss_text: 0.1500 loss_kernel: 0.0703 loss: 0.2203 2022/08/26 13:25:16 - mmengine - INFO - Epoch(train) [214][25/63] lr: 1.0000e-05 eta: 1 day, 1:36:04 time: 2.4716 data_time: 0.1226 memory: 28971 loss_text: 0.1484 loss_kernel: 0.0682 loss: 0.2166 2022/08/26 13:25:21 - mmengine - INFO - Epoch(train) [214][30/63] lr: 1.0000e-05 eta: 1 day, 1:35:02 time: 2.4528 data_time: 0.1012 memory: 28971 loss_text: 0.1201 loss_kernel: 0.0557 loss: 0.1758 2022/08/26 13:25:41 - mmengine - INFO - Epoch(train) [214][35/63] lr: 1.0000e-05 eta: 1 day, 1:35:02 time: 2.4277 data_time: 0.1392 memory: 28971 loss_text: 0.1111 loss_kernel: 0.0531 loss: 0.1642 2022/08/26 13:25:45 - mmengine - INFO - Epoch(train) [214][40/63] lr: 1.0000e-05 eta: 1 day, 1:33:59 time: 2.4116 data_time: 0.1628 memory: 28971 loss_text: 0.1575 loss_kernel: 0.0733 loss: 0.2308 2022/08/26 13:26:07 - mmengine - INFO - Epoch(train) [214][45/63] lr: 1.0000e-05 eta: 1 day, 1:33:59 time: 2.6174 data_time: 0.1237 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0701 loss: 0.2218 2022/08/26 13:26:11 - mmengine - INFO - Epoch(train) [214][50/63] lr: 1.0000e-05 eta: 1 day, 1:33:00 time: 2.6078 data_time: 0.1263 memory: 28971 loss_text: 0.1325 loss_kernel: 0.0612 loss: 0.1938 2022/08/26 13:26:34 - mmengine - INFO - Epoch(train) [214][55/63] lr: 1.0000e-05 eta: 1 day, 1:33:00 time: 2.7571 data_time: 0.2204 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0626 loss: 0.1996 2022/08/26 13:26:39 - mmengine - INFO - Epoch(train) [214][60/63] lr: 1.0000e-05 eta: 1 day, 1:32:05 time: 2.7897 data_time: 0.2408 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0572 loss: 0.1825 2022/08/26 13:26:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:28:50 - mmengine - INFO - Epoch(train) [215][5/63] lr: 1.0000e-05 eta: 1 day, 1:32:05 time: 13.1630 data_time: 9.9068 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0637 loss: 0.2061 2022/08/26 13:29:10 - mmengine - INFO - Epoch(train) [215][10/63] lr: 1.0000e-05 eta: 1 day, 1:33:48 time: 13.3776 data_time: 9.7532 memory: 28971 loss_text: 0.1018 loss_kernel: 0.0488 loss: 0.1506 2022/08/26 13:29:15 - mmengine - INFO - Epoch(train) [215][15/63] lr: 1.0000e-05 eta: 1 day, 1:33:48 time: 2.5949 data_time: 0.2208 memory: 28971 loss_text: 0.1095 loss_kernel: 0.0524 loss: 0.1618 2022/08/26 13:29:34 - mmengine - INFO - Epoch(train) [215][20/63] lr: 1.0000e-05 eta: 1 day, 1:32:46 time: 2.4316 data_time: 0.1972 memory: 28971 loss_text: 0.1395 loss_kernel: 0.0645 loss: 0.2040 2022/08/26 13:29:40 - mmengine - INFO - Epoch(train) [215][25/63] lr: 1.0000e-05 eta: 1 day, 1:32:46 time: 2.4245 data_time: 0.1739 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0635 loss: 0.2007 2022/08/26 13:29:59 - mmengine - INFO - Epoch(train) [215][30/63] lr: 1.0000e-05 eta: 1 day, 1:31:46 time: 2.5773 data_time: 0.1329 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0608 loss: 0.1915 2022/08/26 13:30:11 - mmengine - INFO - Epoch(train) [215][35/63] lr: 1.0000e-05 eta: 1 day, 1:31:46 time: 3.1674 data_time: 0.1443 memory: 28971 loss_text: 0.1322 loss_kernel: 0.0613 loss: 0.1935 2022/08/26 13:30:26 - mmengine - INFO - Epoch(train) [215][40/63] lr: 1.0000e-05 eta: 1 day, 1:30:48 time: 2.6522 data_time: 0.2898 memory: 28971 loss_text: 0.1601 loss_kernel: 0.0728 loss: 0.2329 2022/08/26 13:30:49 - mmengine - INFO - Epoch(train) [215][45/63] lr: 1.0000e-05 eta: 1 day, 1:30:48 time: 3.7094 data_time: 0.2455 memory: 28971 loss_text: 0.1829 loss_kernel: 0.0813 loss: 0.2642 2022/08/26 13:31:00 - mmengine - INFO - Epoch(train) [215][50/63] lr: 1.0000e-05 eta: 1 day, 1:30:05 time: 3.4614 data_time: 0.1794 memory: 28971 loss_text: 0.1539 loss_kernel: 0.0699 loss: 0.2238 2022/08/26 13:31:19 - mmengine - INFO - Epoch(train) [215][55/63] lr: 1.0000e-05 eta: 1 day, 1:30:05 time: 3.0073 data_time: 0.2000 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0583 loss: 0.1819 2022/08/26 13:31:40 - mmengine - INFO - Epoch(train) [215][60/63] lr: 1.0000e-05 eta: 1 day, 1:29:30 time: 3.9482 data_time: 0.2820 memory: 28971 loss_text: 0.1403 loss_kernel: 0.0663 loss: 0.2065 2022/08/26 13:31:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:33:27 - mmengine - INFO - Epoch(train) [216][5/63] lr: 1.0000e-05 eta: 1 day, 1:29:30 time: 11.9297 data_time: 9.1812 memory: 28971 loss_text: 0.1539 loss_kernel: 0.0700 loss: 0.2239 2022/08/26 13:33:33 - mmengine - INFO - Epoch(train) [216][10/63] lr: 1.0000e-05 eta: 1 day, 1:30:27 time: 10.8795 data_time: 9.2208 memory: 28971 loss_text: 0.1782 loss_kernel: 0.0802 loss: 0.2584 2022/08/26 13:33:49 - mmengine - INFO - Epoch(train) [216][15/63] lr: 1.0000e-05 eta: 1 day, 1:30:27 time: 2.1541 data_time: 0.2149 memory: 28971 loss_text: 0.1547 loss_kernel: 0.0731 loss: 0.2278 2022/08/26 13:33:53 - mmengine - INFO - Epoch(train) [216][20/63] lr: 1.0000e-05 eta: 1 day, 1:29:17 time: 1.9900 data_time: 0.1009 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0700 loss: 0.2160 2022/08/26 13:34:11 - mmengine - INFO - Epoch(train) [216][25/63] lr: 1.0000e-05 eta: 1 day, 1:29:17 time: 2.2029 data_time: 0.1290 memory: 28971 loss_text: 0.1899 loss_kernel: 0.0865 loss: 0.2764 2022/08/26 13:34:15 - mmengine - INFO - Epoch(train) [216][30/63] lr: 1.0000e-05 eta: 1 day, 1:28:11 time: 2.1992 data_time: 0.1194 memory: 28971 loss_text: 0.1803 loss_kernel: 0.0810 loss: 0.2614 2022/08/26 13:34:30 - mmengine - INFO - Epoch(train) [216][35/63] lr: 1.0000e-05 eta: 1 day, 1:28:11 time: 1.9246 data_time: 0.0588 memory: 28971 loss_text: 0.1546 loss_kernel: 0.0710 loss: 0.2256 2022/08/26 13:34:35 - mmengine - INFO - Epoch(train) [216][40/63] lr: 1.0000e-05 eta: 1 day, 1:27:00 time: 1.9516 data_time: 0.0529 memory: 28971 loss_text: 0.1358 loss_kernel: 0.0635 loss: 0.1993 2022/08/26 13:34:46 - mmengine - INFO - Epoch(train) [216][45/63] lr: 1.0000e-05 eta: 1 day, 1:27:00 time: 1.6458 data_time: 0.0731 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0635 loss: 0.1995 2022/08/26 13:34:55 - mmengine - INFO - Epoch(train) [216][50/63] lr: 1.0000e-05 eta: 1 day, 1:25:52 time: 2.0422 data_time: 0.1073 memory: 28971 loss_text: 0.1109 loss_kernel: 0.0533 loss: 0.1642 2022/08/26 13:35:13 - mmengine - INFO - Epoch(train) [216][55/63] lr: 1.0000e-05 eta: 1 day, 1:25:52 time: 2.6641 data_time: 0.1210 memory: 28971 loss_text: 0.0790 loss_kernel: 0.0388 loss: 0.1179 2022/08/26 13:35:19 - mmengine - INFO - Epoch(train) [216][60/63] lr: 1.0000e-05 eta: 1 day, 1:24:49 time: 2.4097 data_time: 0.1884 memory: 28971 loss_text: 0.1049 loss_kernel: 0.0489 loss: 0.1539 2022/08/26 13:35:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:37:11 - mmengine - INFO - Epoch(train) [217][5/63] lr: 1.0000e-05 eta: 1 day, 1:24:49 time: 11.3320 data_time: 9.3256 memory: 28971 loss_text: 0.1581 loss_kernel: 0.0746 loss: 0.2327 2022/08/26 13:37:17 - mmengine - INFO - Epoch(train) [217][10/63] lr: 1.0000e-05 eta: 1 day, 1:25:56 time: 11.4229 data_time: 9.3810 memory: 28971 loss_text: 0.1754 loss_kernel: 0.0802 loss: 0.2556 2022/08/26 13:37:34 - mmengine - INFO - Epoch(train) [217][15/63] lr: 1.0000e-05 eta: 1 day, 1:25:56 time: 2.2742 data_time: 0.1282 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0639 loss: 0.2005 2022/08/26 13:37:39 - mmengine - INFO - Epoch(train) [217][20/63] lr: 1.0000e-05 eta: 1 day, 1:24:50 time: 2.2230 data_time: 0.1144 memory: 28971 loss_text: 0.1194 loss_kernel: 0.0578 loss: 0.1773 2022/08/26 13:37:55 - mmengine - INFO - Epoch(train) [217][25/63] lr: 1.0000e-05 eta: 1 day, 1:24:50 time: 2.0988 data_time: 0.1437 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0598 loss: 0.1823 2022/08/26 13:37:59 - mmengine - INFO - Epoch(train) [217][30/63] lr: 1.0000e-05 eta: 1 day, 1:23:41 time: 2.0080 data_time: 0.0946 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0569 loss: 0.1761 2022/08/26 13:38:16 - mmengine - INFO - Epoch(train) [217][35/63] lr: 1.0000e-05 eta: 1 day, 1:23:41 time: 2.1472 data_time: 0.1054 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0626 loss: 0.1987 2022/08/26 13:38:29 - mmengine - INFO - Epoch(train) [217][40/63] lr: 1.0000e-05 eta: 1 day, 1:22:48 time: 2.9625 data_time: 0.1237 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0638 loss: 0.1999 2022/08/26 13:38:38 - mmengine - INFO - Epoch(train) [217][45/63] lr: 1.0000e-05 eta: 1 day, 1:22:48 time: 2.1803 data_time: 0.1484 memory: 28971 loss_text: 0.1577 loss_kernel: 0.0731 loss: 0.2308 2022/08/26 13:38:55 - mmengine - INFO - Epoch(train) [217][50/63] lr: 1.0000e-05 eta: 1 day, 1:21:49 time: 2.5857 data_time: 0.1741 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0683 loss: 0.2173 2022/08/26 13:39:00 - mmengine - INFO - Epoch(train) [217][55/63] lr: 1.0000e-05 eta: 1 day, 1:21:49 time: 2.1910 data_time: 0.0963 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0665 loss: 0.2086 2022/08/26 13:39:08 - mmengine - INFO - Epoch(train) [217][60/63] lr: 1.0000e-05 eta: 1 day, 1:20:28 time: 1.3223 data_time: 0.1212 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0782 loss: 0.2469 2022/08/26 13:39:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:41:08 - mmengine - INFO - Epoch(train) [218][5/63] lr: 1.0000e-05 eta: 1 day, 1:20:28 time: 12.4189 data_time: 9.2091 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0622 loss: 0.1950 2022/08/26 13:41:29 - mmengine - INFO - Epoch(train) [218][10/63] lr: 1.0000e-05 eta: 1 day, 1:22:02 time: 12.9993 data_time: 9.4204 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0560 loss: 0.1756 2022/08/26 13:41:33 - mmengine - INFO - Epoch(train) [218][15/63] lr: 1.0000e-05 eta: 1 day, 1:22:02 time: 2.4909 data_time: 0.2697 memory: 28971 loss_text: 0.1139 loss_kernel: 0.0539 loss: 0.1678 2022/08/26 13:41:52 - mmengine - INFO - Epoch(train) [218][20/63] lr: 1.0000e-05 eta: 1 day, 1:20:58 time: 2.3327 data_time: 0.1871 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0661 loss: 0.2079 2022/08/26 13:41:57 - mmengine - INFO - Epoch(train) [218][25/63] lr: 1.0000e-05 eta: 1 day, 1:20:58 time: 2.3487 data_time: 0.2118 memory: 28971 loss_text: 0.1393 loss_kernel: 0.0655 loss: 0.2048 2022/08/26 13:42:11 - mmengine - INFO - Epoch(train) [218][30/63] lr: 1.0000e-05 eta: 1 day, 1:19:47 time: 1.9138 data_time: 0.0799 memory: 28971 loss_text: 0.1740 loss_kernel: 0.0793 loss: 0.2533 2022/08/26 13:42:16 - mmengine - INFO - Epoch(train) [218][35/63] lr: 1.0000e-05 eta: 1 day, 1:19:47 time: 1.9048 data_time: 0.0892 memory: 28971 loss_text: 0.1923 loss_kernel: 0.0864 loss: 0.2787 2022/08/26 13:42:30 - mmengine - INFO - Epoch(train) [218][40/63] lr: 1.0000e-05 eta: 1 day, 1:18:36 time: 1.8735 data_time: 0.1177 memory: 28971 loss_text: 0.1601 loss_kernel: 0.0727 loss: 0.2329 2022/08/26 13:42:34 - mmengine - INFO - Epoch(train) [218][45/63] lr: 1.0000e-05 eta: 1 day, 1:18:36 time: 1.8705 data_time: 0.1057 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0649 loss: 0.2047 2022/08/26 13:42:44 - mmengine - INFO - Epoch(train) [218][50/63] lr: 1.0000e-05 eta: 1 day, 1:17:16 time: 1.4057 data_time: 0.0731 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0611 loss: 0.1902 2022/08/26 13:42:56 - mmengine - INFO - Epoch(train) [218][55/63] lr: 1.0000e-05 eta: 1 day, 1:17:16 time: 2.1196 data_time: 0.1037 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0632 loss: 0.1993 2022/08/26 13:43:04 - mmengine - INFO - Epoch(train) [218][60/63] lr: 1.0000e-05 eta: 1 day, 1:16:08 time: 2.0157 data_time: 0.1777 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0642 loss: 0.2021 2022/08/26 13:43:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:44:57 - mmengine - INFO - Epoch(train) [219][5/63] lr: 1.0000e-05 eta: 1 day, 1:16:08 time: 11.5806 data_time: 9.2523 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0641 loss: 0.1991 2022/08/26 13:45:03 - mmengine - INFO - Epoch(train) [219][10/63] lr: 1.0000e-05 eta: 1 day, 1:17:09 time: 11.2062 data_time: 9.2967 memory: 28971 loss_text: 0.1573 loss_kernel: 0.0731 loss: 0.2304 2022/08/26 13:45:18 - mmengine - INFO - Epoch(train) [219][15/63] lr: 1.0000e-05 eta: 1 day, 1:17:09 time: 2.0789 data_time: 0.1041 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0661 loss: 0.2079 2022/08/26 13:45:30 - mmengine - INFO - Epoch(train) [219][20/63] lr: 1.0000e-05 eta: 1 day, 1:16:10 time: 2.5810 data_time: 0.0965 memory: 28971 loss_text: 0.1139 loss_kernel: 0.0540 loss: 0.1679 2022/08/26 13:45:44 - mmengine - INFO - Epoch(train) [219][25/63] lr: 1.0000e-05 eta: 1 day, 1:16:10 time: 2.5896 data_time: 0.2572 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0588 loss: 0.1871 2022/08/26 13:46:01 - mmengine - INFO - Epoch(train) [219][30/63] lr: 1.0000e-05 eta: 1 day, 1:15:22 time: 3.2142 data_time: 0.2651 memory: 28971 loss_text: 0.1366 loss_kernel: 0.0626 loss: 0.1992 2022/08/26 13:46:06 - mmengine - INFO - Epoch(train) [219][35/63] lr: 1.0000e-05 eta: 1 day, 1:15:22 time: 2.2571 data_time: 0.1071 memory: 28971 loss_text: 0.1252 loss_kernel: 0.0594 loss: 0.1846 2022/08/26 13:46:23 - mmengine - INFO - Epoch(train) [219][40/63] lr: 1.0000e-05 eta: 1 day, 1:14:15 time: 2.1313 data_time: 0.1015 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0606 loss: 0.1887 2022/08/26 13:46:28 - mmengine - INFO - Epoch(train) [219][45/63] lr: 1.0000e-05 eta: 1 day, 1:14:15 time: 2.1550 data_time: 0.1370 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0686 loss: 0.2166 2022/08/26 13:46:44 - mmengine - INFO - Epoch(train) [219][50/63] lr: 1.0000e-05 eta: 1 day, 1:13:09 time: 2.1141 data_time: 0.1840 memory: 28971 loss_text: 0.1594 loss_kernel: 0.0732 loss: 0.2327 2022/08/26 13:47:00 - mmengine - INFO - Epoch(train) [219][55/63] lr: 1.0000e-05 eta: 1 day, 1:13:09 time: 3.2504 data_time: 0.1542 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0635 loss: 0.1978 2022/08/26 13:47:06 - mmengine - INFO - Epoch(train) [219][60/63] lr: 1.0000e-05 eta: 1 day, 1:12:05 time: 2.2764 data_time: 0.1067 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0621 loss: 0.1940 2022/08/26 13:47:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:49:08 - mmengine - INFO - Epoch(train) [220][5/63] lr: 1.0000e-05 eta: 1 day, 1:12:05 time: 12.3108 data_time: 9.7340 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0691 loss: 0.2162 2022/08/26 13:49:30 - mmengine - INFO - Epoch(train) [220][10/63] lr: 1.0000e-05 eta: 1 day, 1:13:52 time: 13.9428 data_time: 9.7605 memory: 28971 loss_text: 0.1529 loss_kernel: 0.0692 loss: 0.2221 2022/08/26 13:49:48 - mmengine - INFO - Epoch(train) [220][15/63] lr: 1.0000e-05 eta: 1 day, 1:13:52 time: 3.9287 data_time: 0.0983 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0584 loss: 0.1850 2022/08/26 13:50:13 - mmengine - INFO - Epoch(train) [220][20/63] lr: 1.0000e-05 eta: 1 day, 1:13:24 time: 4.3507 data_time: 0.3228 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0566 loss: 0.1753 2022/08/26 13:50:31 - mmengine - INFO - Epoch(train) [220][25/63] lr: 1.0000e-05 eta: 1 day, 1:13:24 time: 4.3793 data_time: 0.3415 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0738 loss: 0.2332 2022/08/26 13:50:40 - mmengine - INFO - Epoch(train) [220][30/63] lr: 1.0000e-05 eta: 1 day, 1:12:28 time: 2.7331 data_time: 0.1899 memory: 28971 loss_text: 0.1957 loss_kernel: 0.0880 loss: 0.2836 2022/08/26 13:50:52 - mmengine - INFO - Epoch(train) [220][35/63] lr: 1.0000e-05 eta: 1 day, 1:12:28 time: 2.1070 data_time: 0.1710 memory: 28971 loss_text: 0.1841 loss_kernel: 0.0835 loss: 0.2675 2022/08/26 13:51:16 - mmengine - INFO - Epoch(train) [220][40/63] lr: 1.0000e-05 eta: 1 day, 1:11:45 time: 3.4873 data_time: 0.1918 memory: 28971 loss_text: 0.1720 loss_kernel: 0.0792 loss: 0.2512 2022/08/26 13:51:20 - mmengine - INFO - Epoch(train) [220][45/63] lr: 1.0000e-05 eta: 1 day, 1:11:45 time: 2.8521 data_time: 0.2491 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0638 loss: 0.2019 2022/08/26 13:51:40 - mmengine - INFO - Epoch(train) [220][50/63] lr: 1.0000e-05 eta: 1 day, 1:10:45 time: 2.4908 data_time: 0.1992 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0525 loss: 0.1653 2022/08/26 13:51:53 - mmengine - INFO - Epoch(train) [220][55/63] lr: 1.0000e-05 eta: 1 day, 1:10:45 time: 3.1862 data_time: 0.1139 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0644 loss: 0.2046 2022/08/26 13:52:06 - mmengine - INFO - Epoch(train) [220][60/63] lr: 1.0000e-05 eta: 1 day, 1:09:47 time: 2.6297 data_time: 0.2195 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0620 loss: 0.1965 2022/08/26 13:52:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:52:10 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/26 13:54:12 - mmengine - INFO - Epoch(train) [221][5/63] lr: 1.0000e-05 eta: 1 day, 1:09:47 time: 12.1064 data_time: 9.8574 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0631 loss: 0.1995 2022/08/26 13:54:28 - mmengine - INFO - Epoch(train) [221][10/63] lr: 1.0000e-05 eta: 1 day, 1:11:19 time: 13.1132 data_time: 9.8571 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0635 loss: 0.2004 2022/08/26 13:54:37 - mmengine - INFO - Epoch(train) [221][15/63] lr: 1.0000e-05 eta: 1 day, 1:11:19 time: 2.4405 data_time: 0.2165 memory: 28971 loss_text: 0.1205 loss_kernel: 0.0572 loss: 0.1777 2022/08/26 13:54:41 - mmengine - INFO - Epoch(train) [221][20/63] lr: 1.0000e-05 eta: 1 day, 1:10:00 time: 1.3972 data_time: 0.2365 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0601 loss: 0.1888 2022/08/26 13:55:02 - mmengine - INFO - Epoch(train) [221][25/63] lr: 1.0000e-05 eta: 1 day, 1:10:00 time: 2.5507 data_time: 0.1775 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0596 loss: 0.1881 2022/08/26 13:55:15 - mmengine - INFO - Epoch(train) [221][30/63] lr: 1.0000e-05 eta: 1 day, 1:09:14 time: 3.3061 data_time: 0.1877 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0688 loss: 0.2186 2022/08/26 13:55:25 - mmengine - INFO - Epoch(train) [221][35/63] lr: 1.0000e-05 eta: 1 day, 1:09:14 time: 2.3265 data_time: 0.3734 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0650 loss: 0.2068 2022/08/26 13:55:42 - mmengine - INFO - Epoch(train) [221][40/63] lr: 1.0000e-05 eta: 1 day, 1:08:17 time: 2.6923 data_time: 0.3702 memory: 28971 loss_text: 0.1067 loss_kernel: 0.0510 loss: 0.1577 2022/08/26 13:55:47 - mmengine - INFO - Epoch(train) [221][45/63] lr: 1.0000e-05 eta: 1 day, 1:08:17 time: 2.1360 data_time: 0.1586 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0566 loss: 0.1757 2022/08/26 13:56:04 - mmengine - INFO - Epoch(train) [221][50/63] lr: 1.0000e-05 eta: 1 day, 1:07:12 time: 2.1718 data_time: 0.1193 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0671 loss: 0.2116 2022/08/26 13:56:11 - mmengine - INFO - Epoch(train) [221][55/63] lr: 1.0000e-05 eta: 1 day, 1:07:12 time: 2.3906 data_time: 0.2053 memory: 28971 loss_text: 0.1358 loss_kernel: 0.0636 loss: 0.1994 2022/08/26 13:56:27 - mmengine - INFO - Epoch(train) [221][60/63] lr: 1.0000e-05 eta: 1 day, 1:06:09 time: 2.3571 data_time: 0.2924 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0723 loss: 0.2288 2022/08/26 13:56:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 13:58:12 - mmengine - INFO - Epoch(train) [222][5/63] lr: 1.0000e-05 eta: 1 day, 1:06:09 time: 10.7571 data_time: 9.0956 memory: 28971 loss_text: 0.1448 loss_kernel: 0.0666 loss: 0.2114 2022/08/26 13:58:17 - mmengine - INFO - Epoch(train) [222][10/63] lr: 1.0000e-05 eta: 1 day, 1:06:53 time: 10.3439 data_time: 9.0358 memory: 28971 loss_text: 0.1730 loss_kernel: 0.0787 loss: 0.2517 2022/08/26 13:58:28 - mmengine - INFO - Epoch(train) [222][15/63] lr: 1.0000e-05 eta: 1 day, 1:06:53 time: 1.5991 data_time: 0.0756 memory: 28971 loss_text: 0.1555 loss_kernel: 0.0724 loss: 0.2279 2022/08/26 13:58:33 - mmengine - INFO - Epoch(train) [222][20/63] lr: 1.0000e-05 eta: 1 day, 1:05:38 time: 1.5952 data_time: 0.0819 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0585 loss: 0.1807 2022/08/26 13:58:44 - mmengine - INFO - Epoch(train) [222][25/63] lr: 1.0000e-05 eta: 1 day, 1:05:38 time: 1.5901 data_time: 0.0528 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0625 loss: 0.1939 2022/08/26 13:58:49 - mmengine - INFO - Epoch(train) [222][30/63] lr: 1.0000e-05 eta: 1 day, 1:04:24 time: 1.6656 data_time: 0.0584 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0639 loss: 0.1989 2022/08/26 13:58:54 - mmengine - INFO - Epoch(train) [222][35/63] lr: 1.0000e-05 eta: 1 day, 1:04:24 time: 0.9578 data_time: 0.0577 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0617 loss: 0.1938 2022/08/26 13:59:04 - mmengine - INFO - Epoch(train) [222][40/63] lr: 1.0000e-05 eta: 1 day, 1:03:06 time: 1.4737 data_time: 0.0412 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0722 loss: 0.2302 2022/08/26 13:59:08 - mmengine - INFO - Epoch(train) [222][45/63] lr: 1.0000e-05 eta: 1 day, 1:03:06 time: 1.4709 data_time: 0.0528 memory: 28971 loss_text: 0.1705 loss_kernel: 0.0780 loss: 0.2486 2022/08/26 13:59:19 - mmengine - INFO - Epoch(train) [222][50/63] lr: 1.0000e-05 eta: 1 day, 1:01:48 time: 1.4367 data_time: 0.0586 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0603 loss: 0.1891 2022/08/26 13:59:24 - mmengine - INFO - Epoch(train) [222][55/63] lr: 1.0000e-05 eta: 1 day, 1:01:48 time: 1.5716 data_time: 0.0893 memory: 28971 loss_text: 0.1023 loss_kernel: 0.0485 loss: 0.1508 2022/08/26 13:59:36 - mmengine - INFO - Epoch(train) [222][60/63] lr: 1.0000e-05 eta: 1 day, 1:00:35 time: 1.7043 data_time: 0.1185 memory: 28971 loss_text: 0.1435 loss_kernel: 0.0654 loss: 0.2089 2022/08/26 13:59:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:01:16 - mmengine - INFO - Epoch(train) [223][5/63] lr: 1.0000e-05 eta: 1 day, 1:00:35 time: 10.3315 data_time: 8.6727 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0736 loss: 0.2332 2022/08/26 14:01:21 - mmengine - INFO - Epoch(train) [223][10/63] lr: 1.0000e-05 eta: 1 day, 1:01:17 time: 10.2419 data_time: 8.6532 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0571 loss: 0.1764 2022/08/26 14:01:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:01:32 - mmengine - INFO - Epoch(train) [223][15/63] lr: 1.0000e-05 eta: 1 day, 1:01:17 time: 1.6154 data_time: 0.0662 memory: 28971 loss_text: 0.0964 loss_kernel: 0.0469 loss: 0.1433 2022/08/26 14:01:37 - mmengine - INFO - Epoch(train) [223][20/63] lr: 1.0000e-05 eta: 1 day, 1:00:01 time: 1.5578 data_time: 0.0553 memory: 28971 loss_text: 0.1075 loss_kernel: 0.0514 loss: 0.1590 2022/08/26 14:01:47 - mmengine - INFO - Epoch(train) [223][25/63] lr: 1.0000e-05 eta: 1 day, 1:00:01 time: 1.4408 data_time: 0.0402 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0571 loss: 0.1807 2022/08/26 14:01:51 - mmengine - INFO - Epoch(train) [223][30/63] lr: 1.0000e-05 eta: 1 day, 0:58:43 time: 1.4350 data_time: 0.0404 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0617 loss: 0.1967 2022/08/26 14:01:56 - mmengine - INFO - Epoch(train) [223][35/63] lr: 1.0000e-05 eta: 1 day, 0:58:43 time: 0.8698 data_time: 0.0324 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0647 loss: 0.2026 2022/08/26 14:02:06 - mmengine - INFO - Epoch(train) [223][40/63] lr: 1.0000e-05 eta: 1 day, 0:57:26 time: 1.4357 data_time: 0.0617 memory: 28971 loss_text: 0.1463 loss_kernel: 0.0687 loss: 0.2150 2022/08/26 14:02:10 - mmengine - INFO - Epoch(train) [223][45/63] lr: 1.0000e-05 eta: 1 day, 0:57:26 time: 1.4583 data_time: 0.0816 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0691 loss: 0.2173 2022/08/26 14:02:20 - mmengine - INFO - Epoch(train) [223][50/63] lr: 1.0000e-05 eta: 1 day, 0:56:08 time: 1.4205 data_time: 0.0684 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0571 loss: 0.1798 2022/08/26 14:02:25 - mmengine - INFO - Epoch(train) [223][55/63] lr: 1.0000e-05 eta: 1 day, 0:56:08 time: 1.4609 data_time: 0.0655 memory: 28971 loss_text: 0.1044 loss_kernel: 0.0508 loss: 0.1552 2022/08/26 14:02:34 - mmengine - INFO - Epoch(train) [223][60/63] lr: 1.0000e-05 eta: 1 day, 0:54:50 time: 1.3822 data_time: 0.0636 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0594 loss: 0.1815 2022/08/26 14:02:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:04:19 - mmengine - INFO - Epoch(train) [224][5/63] lr: 1.0000e-05 eta: 1 day, 0:54:50 time: 10.6930 data_time: 9.1212 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0751 loss: 0.2378 2022/08/26 14:04:24 - mmengine - INFO - Epoch(train) [224][10/63] lr: 1.0000e-05 eta: 1 day, 0:55:40 time: 10.7658 data_time: 9.1562 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0681 loss: 0.2150 2022/08/26 14:04:42 - mmengine - INFO - Epoch(train) [224][15/63] lr: 1.0000e-05 eta: 1 day, 0:55:40 time: 2.3294 data_time: 0.1431 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0689 loss: 0.2165 2022/08/26 14:04:47 - mmengine - INFO - Epoch(train) [224][20/63] lr: 1.0000e-05 eta: 1 day, 0:54:36 time: 2.2691 data_time: 0.1413 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0611 loss: 0.1905 2022/08/26 14:05:02 - mmengine - INFO - Epoch(train) [224][25/63] lr: 1.0000e-05 eta: 1 day, 0:54:36 time: 1.9856 data_time: 0.0907 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0666 loss: 0.2130 2022/08/26 14:05:07 - mmengine - INFO - Epoch(train) [224][30/63] lr: 1.0000e-05 eta: 1 day, 0:53:28 time: 1.9576 data_time: 0.0936 memory: 28971 loss_text: 0.1515 loss_kernel: 0.0693 loss: 0.2208 2022/08/26 14:05:23 - mmengine - INFO - Epoch(train) [224][35/63] lr: 1.0000e-05 eta: 1 day, 0:53:28 time: 2.1277 data_time: 0.1312 memory: 28971 loss_text: 0.1252 loss_kernel: 0.0591 loss: 0.1843 2022/08/26 14:05:29 - mmengine - INFO - Epoch(train) [224][40/63] lr: 1.0000e-05 eta: 1 day, 0:52:23 time: 2.1752 data_time: 0.1229 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0569 loss: 0.1767 2022/08/26 14:05:46 - mmengine - INFO - Epoch(train) [224][45/63] lr: 1.0000e-05 eta: 1 day, 0:52:23 time: 2.1999 data_time: 0.1620 memory: 28971 loss_text: 0.1342 loss_kernel: 0.0633 loss: 0.1975 2022/08/26 14:06:05 - mmengine - INFO - Epoch(train) [224][50/63] lr: 1.0000e-05 eta: 1 day, 0:51:43 time: 3.6083 data_time: 0.3614 memory: 28971 loss_text: 0.1257 loss_kernel: 0.0592 loss: 0.1850 2022/08/26 14:06:24 - mmengine - INFO - Epoch(train) [224][55/63] lr: 1.0000e-05 eta: 1 day, 0:51:43 time: 3.8080 data_time: 0.3320 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0650 loss: 0.2031 2022/08/26 14:06:44 - mmengine - INFO - Epoch(train) [224][60/63] lr: 1.0000e-05 eta: 1 day, 0:51:07 time: 3.8867 data_time: 0.2144 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0722 loss: 0.2287 2022/08/26 14:07:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:08:52 - mmengine - INFO - Epoch(train) [225][5/63] lr: 1.0000e-05 eta: 1 day, 0:51:07 time: 13.4294 data_time: 9.5154 memory: 28971 loss_text: 0.1709 loss_kernel: 0.0781 loss: 0.2490 2022/08/26 14:08:58 - mmengine - INFO - Epoch(train) [225][10/63] lr: 1.0000e-05 eta: 1 day, 0:52:09 time: 11.5616 data_time: 9.4692 memory: 28971 loss_text: 0.1601 loss_kernel: 0.0734 loss: 0.2335 2022/08/26 14:09:14 - mmengine - INFO - Epoch(train) [225][15/63] lr: 1.0000e-05 eta: 1 day, 0:52:09 time: 2.2126 data_time: 0.1045 memory: 28971 loss_text: 0.1487 loss_kernel: 0.0673 loss: 0.2160 2022/08/26 14:09:21 - mmengine - INFO - Epoch(train) [225][20/63] lr: 1.0000e-05 eta: 1 day, 0:51:08 time: 2.3775 data_time: 0.0923 memory: 28971 loss_text: 0.1288 loss_kernel: 0.0591 loss: 0.1879 2022/08/26 14:09:38 - mmengine - INFO - Epoch(train) [225][25/63] lr: 1.0000e-05 eta: 1 day, 0:51:08 time: 2.3972 data_time: 0.1838 memory: 28971 loss_text: 0.0991 loss_kernel: 0.0482 loss: 0.1472 2022/08/26 14:09:54 - mmengine - INFO - Epoch(train) [225][30/63] lr: 1.0000e-05 eta: 1 day, 0:50:20 time: 3.1574 data_time: 0.1473 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0634 loss: 0.1977 2022/08/26 14:10:03 - mmengine - INFO - Epoch(train) [225][35/63] lr: 1.0000e-05 eta: 1 day, 0:50:20 time: 2.5199 data_time: 0.2795 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0643 loss: 0.2010 2022/08/26 14:10:17 - mmengine - INFO - Epoch(train) [225][40/63] lr: 1.0000e-05 eta: 1 day, 0:49:18 time: 2.3844 data_time: 0.2472 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0612 loss: 0.1941 2022/08/26 14:10:26 - mmengine - INFO - Epoch(train) [225][45/63] lr: 1.0000e-05 eta: 1 day, 0:49:18 time: 2.2769 data_time: 0.1282 memory: 28971 loss_text: 0.1503 loss_kernel: 0.0681 loss: 0.2184 2022/08/26 14:10:37 - mmengine - INFO - Epoch(train) [225][50/63] lr: 1.0000e-05 eta: 1 day, 0:48:09 time: 1.8605 data_time: 0.1369 memory: 28971 loss_text: 0.1598 loss_kernel: 0.0739 loss: 0.2336 2022/08/26 14:10:50 - mmengine - INFO - Epoch(train) [225][55/63] lr: 1.0000e-05 eta: 1 day, 0:48:09 time: 2.3863 data_time: 0.3608 memory: 28971 loss_text: 0.1532 loss_kernel: 0.0705 loss: 0.2237 2022/08/26 14:10:56 - mmengine - INFO - Epoch(train) [225][60/63] lr: 1.0000e-05 eta: 1 day, 0:47:01 time: 2.0165 data_time: 0.3768 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0570 loss: 0.1798 2022/08/26 14:11:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:12:57 - mmengine - INFO - Epoch(train) [226][5/63] lr: 1.0000e-05 eta: 1 day, 0:47:01 time: 12.3722 data_time: 9.1704 memory: 28971 loss_text: 0.1075 loss_kernel: 0.0515 loss: 0.1589 2022/08/26 14:13:02 - mmengine - INFO - Epoch(train) [226][10/63] lr: 1.0000e-05 eta: 1 day, 0:47:50 time: 10.7745 data_time: 9.1992 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0610 loss: 0.1901 2022/08/26 14:13:19 - mmengine - INFO - Epoch(train) [226][15/63] lr: 1.0000e-05 eta: 1 day, 0:47:50 time: 2.1406 data_time: 0.0740 memory: 28971 loss_text: 0.1511 loss_kernel: 0.0706 loss: 0.2217 2022/08/26 14:13:28 - mmengine - INFO - Epoch(train) [226][20/63] lr: 1.0000e-05 eta: 1 day, 0:46:52 time: 2.5636 data_time: 0.1163 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0637 loss: 0.1998 2022/08/26 14:13:42 - mmengine - INFO - Epoch(train) [226][25/63] lr: 1.0000e-05 eta: 1 day, 0:46:52 time: 2.2819 data_time: 0.1795 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0591 loss: 0.1850 2022/08/26 14:13:57 - mmengine - INFO - Epoch(train) [226][30/63] lr: 1.0000e-05 eta: 1 day, 0:46:00 time: 2.9125 data_time: 0.1470 memory: 28971 loss_text: 0.1706 loss_kernel: 0.0784 loss: 0.2490 2022/08/26 14:14:02 - mmengine - INFO - Epoch(train) [226][35/63] lr: 1.0000e-05 eta: 1 day, 0:46:00 time: 2.0673 data_time: 0.1294 memory: 28971 loss_text: 0.1591 loss_kernel: 0.0738 loss: 0.2329 2022/08/26 14:14:20 - mmengine - INFO - Epoch(train) [226][40/63] lr: 1.0000e-05 eta: 1 day, 0:44:56 time: 2.2147 data_time: 0.0910 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0559 loss: 0.1736 2022/08/26 14:14:31 - mmengine - INFO - Epoch(train) [226][45/63] lr: 1.0000e-05 eta: 1 day, 0:44:56 time: 2.8661 data_time: 0.0974 memory: 28971 loss_text: 0.1473 loss_kernel: 0.0674 loss: 0.2147 2022/08/26 14:14:37 - mmengine - INFO - Epoch(train) [226][50/63] lr: 1.0000e-05 eta: 1 day, 0:43:45 time: 1.7565 data_time: 0.1141 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0712 loss: 0.2277 2022/08/26 14:14:58 - mmengine - INFO - Epoch(train) [226][55/63] lr: 1.0000e-05 eta: 1 day, 0:43:45 time: 2.6052 data_time: 0.0826 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0682 loss: 0.2175 2022/08/26 14:15:05 - mmengine - INFO - Epoch(train) [226][60/63] lr: 1.0000e-05 eta: 1 day, 0:42:50 time: 2.7632 data_time: 0.1755 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0640 loss: 0.2023 2022/08/26 14:15:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:17:20 - mmengine - INFO - Epoch(train) [227][5/63] lr: 1.0000e-05 eta: 1 day, 0:42:50 time: 13.5835 data_time: 9.7582 memory: 28971 loss_text: 0.1639 loss_kernel: 0.0754 loss: 0.2393 2022/08/26 14:17:25 - mmengine - INFO - Epoch(train) [227][10/63] lr: 1.0000e-05 eta: 1 day, 0:43:58 time: 11.9774 data_time: 9.8235 memory: 28971 loss_text: 0.1523 loss_kernel: 0.0691 loss: 0.2214 2022/08/26 14:17:44 - mmengine - INFO - Epoch(train) [227][15/63] lr: 1.0000e-05 eta: 1 day, 0:43:58 time: 2.3972 data_time: 0.1255 memory: 28971 loss_text: 0.1005 loss_kernel: 0.0468 loss: 0.1473 2022/08/26 14:17:49 - mmengine - INFO - Epoch(train) [227][20/63] lr: 1.0000e-05 eta: 1 day, 0:42:57 time: 2.3952 data_time: 0.1211 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0592 loss: 0.1865 2022/08/26 14:18:05 - mmengine - INFO - Epoch(train) [227][25/63] lr: 1.0000e-05 eta: 1 day, 0:42:57 time: 2.1459 data_time: 0.1256 memory: 28971 loss_text: 0.1483 loss_kernel: 0.0689 loss: 0.2172 2022/08/26 14:18:11 - mmengine - INFO - Epoch(train) [227][30/63] lr: 1.0000e-05 eta: 1 day, 0:41:53 time: 2.1875 data_time: 0.1015 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0684 loss: 0.2160 2022/08/26 14:18:28 - mmengine - INFO - Epoch(train) [227][35/63] lr: 1.0000e-05 eta: 1 day, 0:41:53 time: 2.2443 data_time: 0.0676 memory: 28971 loss_text: 0.1487 loss_kernel: 0.0675 loss: 0.2162 2022/08/26 14:18:42 - mmengine - INFO - Epoch(train) [227][40/63] lr: 1.0000e-05 eta: 1 day, 0:41:05 time: 3.1463 data_time: 0.0746 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0717 loss: 0.2304 2022/08/26 14:18:51 - mmengine - INFO - Epoch(train) [227][45/63] lr: 1.0000e-05 eta: 1 day, 0:41:05 time: 2.3432 data_time: 0.1882 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0638 loss: 0.1991 2022/08/26 14:19:07 - mmengine - INFO - Epoch(train) [227][50/63] lr: 1.0000e-05 eta: 1 day, 0:40:06 time: 2.5099 data_time: 0.2590 memory: 28971 loss_text: 0.1092 loss_kernel: 0.0520 loss: 0.1612 2022/08/26 14:19:13 - mmengine - INFO - Epoch(train) [227][55/63] lr: 1.0000e-05 eta: 1 day, 0:40:06 time: 2.1854 data_time: 0.1403 memory: 28971 loss_text: 0.1069 loss_kernel: 0.0506 loss: 0.1575 2022/08/26 14:19:26 - mmengine - INFO - Epoch(train) [227][60/63] lr: 1.0000e-05 eta: 1 day, 0:38:58 time: 1.8969 data_time: 0.0604 memory: 28971 loss_text: 0.0919 loss_kernel: 0.0441 loss: 0.1359 2022/08/26 14:19:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:21:32 - mmengine - INFO - Epoch(train) [228][5/63] lr: 1.0000e-05 eta: 1 day, 0:38:58 time: 12.7299 data_time: 9.3989 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0576 loss: 0.1787 2022/08/26 14:21:43 - mmengine - INFO - Epoch(train) [228][10/63] lr: 1.0000e-05 eta: 1 day, 0:40:06 time: 12.0846 data_time: 9.3326 memory: 28971 loss_text: 0.1500 loss_kernel: 0.0694 loss: 0.2194 2022/08/26 14:21:52 - mmengine - INFO - Epoch(train) [228][15/63] lr: 1.0000e-05 eta: 1 day, 0:40:06 time: 1.9859 data_time: 0.1652 memory: 28971 loss_text: 0.1063 loss_kernel: 0.0512 loss: 0.1575 2022/08/26 14:21:58 - mmengine - INFO - Epoch(train) [228][20/63] lr: 1.0000e-05 eta: 1 day, 0:38:50 time: 1.4475 data_time: 0.1550 memory: 28971 loss_text: 0.0868 loss_kernel: 0.0428 loss: 0.1296 2022/08/26 14:22:16 - mmengine - INFO - Epoch(train) [228][25/63] lr: 1.0000e-05 eta: 1 day, 0:38:50 time: 2.3883 data_time: 0.1570 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0604 loss: 0.1924 2022/08/26 14:22:37 - mmengine - INFO - Epoch(train) [228][30/63] lr: 1.0000e-05 eta: 1 day, 0:38:14 time: 3.8870 data_time: 0.2579 memory: 28971 loss_text: 0.1603 loss_kernel: 0.0725 loss: 0.2328 2022/08/26 14:22:44 - mmengine - INFO - Epoch(train) [228][35/63] lr: 1.0000e-05 eta: 1 day, 0:38:14 time: 2.8520 data_time: 0.3639 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0622 loss: 0.1956 2022/08/26 14:23:03 - mmengine - INFO - Epoch(train) [228][40/63] lr: 1.0000e-05 eta: 1 day, 0:37:17 time: 2.5801 data_time: 0.2254 memory: 28971 loss_text: 0.1097 loss_kernel: 0.0515 loss: 0.1612 2022/08/26 14:23:07 - mmengine - INFO - Epoch(train) [228][45/63] lr: 1.0000e-05 eta: 1 day, 0:37:17 time: 2.2901 data_time: 0.0780 memory: 28971 loss_text: 0.1355 loss_kernel: 0.0618 loss: 0.1972 2022/08/26 14:23:28 - mmengine - INFO - Epoch(train) [228][50/63] lr: 1.0000e-05 eta: 1 day, 0:36:18 time: 2.4643 data_time: 0.1012 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0652 loss: 0.2089 2022/08/26 14:23:33 - mmengine - INFO - Epoch(train) [228][55/63] lr: 1.0000e-05 eta: 1 day, 0:36:18 time: 2.5297 data_time: 0.1527 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0672 loss: 0.2118 2022/08/26 14:23:52 - mmengine - INFO - Epoch(train) [228][60/63] lr: 1.0000e-05 eta: 1 day, 0:35:19 time: 2.5076 data_time: 0.2056 memory: 28971 loss_text: 0.1855 loss_kernel: 0.0859 loss: 0.2714 2022/08/26 14:23:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:25:52 - mmengine - INFO - Epoch(train) [229][5/63] lr: 1.0000e-05 eta: 1 day, 0:35:19 time: 12.2314 data_time: 9.9619 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0657 loss: 0.2055 2022/08/26 14:25:57 - mmengine - INFO - Epoch(train) [229][10/63] lr: 1.0000e-05 eta: 1 day, 0:36:26 time: 12.0411 data_time: 9.8653 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0574 loss: 0.1802 2022/08/26 14:26:13 - mmengine - INFO - Epoch(train) [229][15/63] lr: 1.0000e-05 eta: 1 day, 0:36:26 time: 2.0843 data_time: 0.1421 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0588 loss: 0.1850 2022/08/26 14:26:18 - mmengine - INFO - Epoch(train) [229][20/63] lr: 1.0000e-05 eta: 1 day, 0:35:21 time: 2.1092 data_time: 0.1238 memory: 28971 loss_text: 0.1110 loss_kernel: 0.0534 loss: 0.1644 2022/08/26 14:26:38 - mmengine - INFO - Epoch(train) [229][25/63] lr: 1.0000e-05 eta: 1 day, 0:35:21 time: 2.4595 data_time: 0.0785 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0629 loss: 0.1988 2022/08/26 14:26:42 - mmengine - INFO - Epoch(train) [229][30/63] lr: 1.0000e-05 eta: 1 day, 0:34:22 time: 2.4276 data_time: 0.0785 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0733 loss: 0.2341 2022/08/26 14:27:00 - mmengine - INFO - Epoch(train) [229][35/63] lr: 1.0000e-05 eta: 1 day, 0:34:22 time: 2.1856 data_time: 0.1117 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0764 loss: 0.2413 2022/08/26 14:27:04 - mmengine - INFO - Epoch(train) [229][40/63] lr: 1.0000e-05 eta: 1 day, 0:33:18 time: 2.2036 data_time: 0.1274 memory: 28971 loss_text: 0.1385 loss_kernel: 0.0655 loss: 0.2040 2022/08/26 14:27:19 - mmengine - INFO - Epoch(train) [229][45/63] lr: 1.0000e-05 eta: 1 day, 0:33:18 time: 1.9097 data_time: 0.1523 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0567 loss: 0.1754 2022/08/26 14:27:24 - mmengine - INFO - Epoch(train) [229][50/63] lr: 1.0000e-05 eta: 1 day, 0:32:11 time: 1.9564 data_time: 0.1415 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0618 loss: 0.1956 2022/08/26 14:27:41 - mmengine - INFO - Epoch(train) [229][55/63] lr: 1.0000e-05 eta: 1 day, 0:32:11 time: 2.2579 data_time: 0.2128 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0590 loss: 0.1897 2022/08/26 14:27:59 - mmengine - INFO - Epoch(train) [229][60/63] lr: 1.0000e-05 eta: 1 day, 0:31:28 time: 3.4402 data_time: 0.2377 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0592 loss: 0.1881 2022/08/26 14:28:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:29:54 - mmengine - INFO - Epoch(train) [230][5/63] lr: 1.0000e-05 eta: 1 day, 0:31:28 time: 12.9000 data_time: 9.7750 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0761 loss: 0.2410 2022/08/26 14:29:59 - mmengine - INFO - Epoch(train) [230][10/63] lr: 1.0000e-05 eta: 1 day, 0:32:26 time: 11.5712 data_time: 9.7284 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0675 loss: 0.2140 2022/08/26 14:30:16 - mmengine - INFO - Epoch(train) [230][15/63] lr: 1.0000e-05 eta: 1 day, 0:32:26 time: 2.2619 data_time: 0.1050 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0532 loss: 0.1665 2022/08/26 14:30:21 - mmengine - INFO - Epoch(train) [230][20/63] lr: 1.0000e-05 eta: 1 day, 0:31:23 time: 2.2042 data_time: 0.1133 memory: 28971 loss_text: 0.1313 loss_kernel: 0.0615 loss: 0.1928 2022/08/26 14:30:35 - mmengine - INFO - Epoch(train) [230][25/63] lr: 1.0000e-05 eta: 1 day, 0:31:23 time: 1.8971 data_time: 0.1240 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0700 loss: 0.2190 2022/08/26 14:30:40 - mmengine - INFO - Epoch(train) [230][30/63] lr: 1.0000e-05 eta: 1 day, 0:30:14 time: 1.8752 data_time: 0.1272 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0545 loss: 0.1673 2022/08/26 14:30:58 - mmengine - INFO - Epoch(train) [230][35/63] lr: 1.0000e-05 eta: 1 day, 0:30:14 time: 2.3001 data_time: 0.0854 memory: 28971 loss_text: 0.1121 loss_kernel: 0.0534 loss: 0.1655 2022/08/26 14:31:03 - mmengine - INFO - Epoch(train) [230][40/63] lr: 1.0000e-05 eta: 1 day, 0:29:13 time: 2.3357 data_time: 0.0799 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0610 loss: 0.1962 2022/08/26 14:31:24 - mmengine - INFO - Epoch(train) [230][45/63] lr: 1.0000e-05 eta: 1 day, 0:29:13 time: 2.5002 data_time: 0.0741 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0675 loss: 0.2169 2022/08/26 14:31:37 - mmengine - INFO - Epoch(train) [230][50/63] lr: 1.0000e-05 eta: 1 day, 0:28:28 time: 3.3144 data_time: 0.1179 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0572 loss: 0.1756 2022/08/26 14:31:45 - mmengine - INFO - Epoch(train) [230][55/63] lr: 1.0000e-05 eta: 1 day, 0:28:28 time: 2.1600 data_time: 0.2677 memory: 28971 loss_text: 0.1064 loss_kernel: 0.0527 loss: 0.1591 2022/08/26 14:31:58 - mmengine - INFO - Epoch(train) [230][60/63] lr: 1.0000e-05 eta: 1 day, 0:27:24 time: 2.1164 data_time: 0.3304 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0624 loss: 0.1944 2022/08/26 14:32:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:33:56 - mmengine - INFO - Epoch(train) [231][5/63] lr: 1.0000e-05 eta: 1 day, 0:27:24 time: 11.9700 data_time: 9.5191 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0536 loss: 0.1669 2022/08/26 14:34:18 - mmengine - INFO - Epoch(train) [231][10/63] lr: 1.0000e-05 eta: 1 day, 0:28:52 time: 13.4399 data_time: 9.5837 memory: 28971 loss_text: 0.1358 loss_kernel: 0.0635 loss: 0.1994 2022/08/26 14:34:22 - mmengine - INFO - Epoch(train) [231][15/63] lr: 1.0000e-05 eta: 1 day, 0:28:52 time: 2.6078 data_time: 0.1510 memory: 28971 loss_text: 0.1478 loss_kernel: 0.0672 loss: 0.2150 2022/08/26 14:34:40 - mmengine - INFO - Epoch(train) [231][20/63] lr: 1.0000e-05 eta: 1 day, 0:27:50 time: 2.2743 data_time: 0.1369 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0658 loss: 0.2101 2022/08/26 14:34:53 - mmengine - INFO - Epoch(train) [231][25/63] lr: 1.0000e-05 eta: 1 day, 0:27:50 time: 3.0993 data_time: 0.1981 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0664 loss: 0.2065 2022/08/26 14:35:17 - mmengine - INFO - Epoch(train) [231][30/63] lr: 1.0000e-05 eta: 1 day, 0:27:10 time: 3.7062 data_time: 0.1992 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0656 loss: 0.2039 2022/08/26 14:35:22 - mmengine - INFO - Epoch(train) [231][35/63] lr: 1.0000e-05 eta: 1 day, 0:27:10 time: 2.9339 data_time: 0.1699 memory: 28971 loss_text: 0.1171 loss_kernel: 0.0565 loss: 0.1736 2022/08/26 14:35:34 - mmengine - INFO - Epoch(train) [231][40/63] lr: 1.0000e-05 eta: 1 day, 0:25:59 time: 1.6852 data_time: 0.1019 memory: 28971 loss_text: 0.1577 loss_kernel: 0.0735 loss: 0.2312 2022/08/26 14:35:38 - mmengine - INFO - Epoch(train) [231][45/63] lr: 1.0000e-05 eta: 1 day, 0:25:59 time: 1.6126 data_time: 0.0468 memory: 28971 loss_text: 0.1552 loss_kernel: 0.0719 loss: 0.2271 2022/08/26 14:35:56 - mmengine - INFO - Epoch(train) [231][50/63] lr: 1.0000e-05 eta: 1 day, 0:24:56 time: 2.2014 data_time: 0.1091 memory: 28971 loss_text: 0.1447 loss_kernel: 0.0673 loss: 0.2120 2022/08/26 14:36:02 - mmengine - INFO - Epoch(train) [231][55/63] lr: 1.0000e-05 eta: 1 day, 0:24:56 time: 2.3478 data_time: 0.1742 memory: 28971 loss_text: 0.1586 loss_kernel: 0.0730 loss: 0.2316 2022/08/26 14:36:21 - mmengine - INFO - Epoch(train) [231][60/63] lr: 1.0000e-05 eta: 1 day, 0:23:57 time: 2.4565 data_time: 0.1108 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0625 loss: 0.1975 2022/08/26 14:36:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:38:15 - mmengine - INFO - Epoch(train) [232][5/63] lr: 1.0000e-05 eta: 1 day, 0:23:57 time: 11.5530 data_time: 9.5783 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0756 loss: 0.2428 2022/08/26 14:38:20 - mmengine - INFO - Epoch(train) [232][10/63] lr: 1.0000e-05 eta: 1 day, 0:24:53 time: 11.5146 data_time: 9.4841 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0608 loss: 0.1903 2022/08/26 14:38:36 - mmengine - INFO - Epoch(train) [232][15/63] lr: 1.0000e-05 eta: 1 day, 0:24:53 time: 2.0869 data_time: 0.1005 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0546 loss: 0.1705 2022/08/26 14:38:41 - mmengine - INFO - Epoch(train) [232][20/63] lr: 1.0000e-05 eta: 1 day, 0:23:48 time: 2.0240 data_time: 0.1098 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0667 loss: 0.2156 2022/08/26 14:39:08 - mmengine - INFO - Epoch(train) [232][25/63] lr: 1.0000e-05 eta: 1 day, 0:23:48 time: 3.2914 data_time: 0.1562 memory: 28971 loss_text: 0.1578 loss_kernel: 0.0717 loss: 0.2295 2022/08/26 14:39:15 - mmengine - INFO - Epoch(train) [232][30/63] lr: 1.0000e-05 eta: 1 day, 0:23:04 time: 3.4472 data_time: 0.0980 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0622 loss: 0.1945 2022/08/26 14:39:32 - mmengine - INFO - Epoch(train) [232][35/63] lr: 1.0000e-05 eta: 1 day, 0:23:04 time: 2.3797 data_time: 0.1421 memory: 28971 loss_text: 0.1377 loss_kernel: 0.0639 loss: 0.2016 2022/08/26 14:39:37 - mmengine - INFO - Epoch(train) [232][40/63] lr: 1.0000e-05 eta: 1 day, 0:22:01 time: 2.1674 data_time: 0.1452 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0636 loss: 0.1985 2022/08/26 14:39:55 - mmengine - INFO - Epoch(train) [232][45/63] lr: 1.0000e-05 eta: 1 day, 0:22:01 time: 2.2309 data_time: 0.0526 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0527 loss: 0.1661 2022/08/26 14:40:06 - mmengine - INFO - Epoch(train) [232][50/63] lr: 1.0000e-05 eta: 1 day, 0:21:09 time: 2.8830 data_time: 0.0922 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0560 loss: 0.1778 2022/08/26 14:40:18 - mmengine - INFO - Epoch(train) [232][55/63] lr: 1.0000e-05 eta: 1 day, 0:21:09 time: 2.3726 data_time: 0.1934 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0661 loss: 0.2059 2022/08/26 14:40:38 - mmengine - INFO - Epoch(train) [232][60/63] lr: 1.0000e-05 eta: 1 day, 0:20:22 time: 3.2210 data_time: 0.2309 memory: 28971 loss_text: 0.1393 loss_kernel: 0.0655 loss: 0.2047 2022/08/26 14:40:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:42:43 - mmengine - INFO - Epoch(train) [233][5/63] lr: 1.0000e-05 eta: 1 day, 0:20:22 time: 12.6719 data_time: 9.4690 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0666 loss: 0.2096 2022/08/26 14:42:49 - mmengine - INFO - Epoch(train) [233][10/63] lr: 1.0000e-05 eta: 1 day, 0:21:12 time: 11.1689 data_time: 9.4258 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0733 loss: 0.2329 2022/08/26 14:43:05 - mmengine - INFO - Epoch(train) [233][15/63] lr: 1.0000e-05 eta: 1 day, 0:21:12 time: 2.1832 data_time: 0.0930 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0603 loss: 0.1871 2022/08/26 14:43:17 - mmengine - INFO - Epoch(train) [233][20/63] lr: 1.0000e-05 eta: 1 day, 0:20:17 time: 2.7074 data_time: 0.1426 memory: 28971 loss_text: 0.1196 loss_kernel: 0.0560 loss: 0.1756 2022/08/26 14:43:27 - mmengine - INFO - Epoch(train) [233][25/63] lr: 1.0000e-05 eta: 1 day, 0:20:17 time: 2.2742 data_time: 0.2827 memory: 28971 loss_text: 0.1642 loss_kernel: 0.0743 loss: 0.2385 2022/08/26 14:43:33 - mmengine - INFO - Epoch(train) [233][30/63] lr: 1.0000e-05 eta: 1 day, 0:19:06 time: 1.6359 data_time: 0.2185 memory: 28971 loss_text: 0.1998 loss_kernel: 0.0895 loss: 0.2892 2022/08/26 14:43:49 - mmengine - INFO - Epoch(train) [233][35/63] lr: 1.0000e-05 eta: 1 day, 0:19:06 time: 2.1930 data_time: 0.1668 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0783 loss: 0.2499 2022/08/26 14:44:03 - mmengine - INFO - Epoch(train) [233][40/63] lr: 1.0000e-05 eta: 1 day, 0:18:17 time: 3.0756 data_time: 0.1675 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0677 loss: 0.2141 2022/08/26 14:44:10 - mmengine - INFO - Epoch(train) [233][45/63] lr: 1.0000e-05 eta: 1 day, 0:18:17 time: 2.1391 data_time: 0.1234 memory: 28971 loss_text: 0.1561 loss_kernel: 0.0728 loss: 0.2289 2022/08/26 14:44:26 - mmengine - INFO - Epoch(train) [233][50/63] lr: 1.0000e-05 eta: 1 day, 0:17:16 time: 2.3015 data_time: 0.1212 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0637 loss: 0.1956 2022/08/26 14:44:35 - mmengine - INFO - Epoch(train) [233][55/63] lr: 1.0000e-05 eta: 1 day, 0:17:16 time: 2.4228 data_time: 0.2093 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0539 loss: 0.1661 2022/08/26 14:44:48 - mmengine - INFO - Epoch(train) [233][60/63] lr: 1.0000e-05 eta: 1 day, 0:16:13 time: 2.2101 data_time: 0.2253 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0642 loss: 0.2046 2022/08/26 14:44:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:46:41 - mmengine - INFO - Epoch(train) [234][5/63] lr: 1.0000e-05 eta: 1 day, 0:16:13 time: 12.3407 data_time: 9.4518 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0539 loss: 0.1674 2022/08/26 14:46:47 - mmengine - INFO - Epoch(train) [234][10/63] lr: 1.0000e-05 eta: 1 day, 0:17:01 time: 11.0576 data_time: 9.4195 memory: 28971 loss_text: 0.0993 loss_kernel: 0.0473 loss: 0.1467 2022/08/26 14:47:02 - mmengine - INFO - Epoch(train) [234][15/63] lr: 1.0000e-05 eta: 1 day, 0:17:01 time: 2.0624 data_time: 0.0733 memory: 28971 loss_text: 0.1178 loss_kernel: 0.0553 loss: 0.1731 2022/08/26 14:47:07 - mmengine - INFO - Epoch(train) [234][20/63] lr: 1.0000e-05 eta: 1 day, 0:15:55 time: 2.0411 data_time: 0.0966 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0655 loss: 0.2061 2022/08/26 14:47:27 - mmengine - INFO - Epoch(train) [234][25/63] lr: 1.0000e-05 eta: 1 day, 0:15:55 time: 2.4952 data_time: 0.2086 memory: 28971 loss_text: 0.1362 loss_kernel: 0.0640 loss: 0.2001 2022/08/26 14:47:43 - mmengine - INFO - Epoch(train) [234][30/63] lr: 1.0000e-05 eta: 1 day, 0:15:14 time: 3.5800 data_time: 0.2415 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0658 loss: 0.2059 2022/08/26 14:47:48 - mmengine - INFO - Epoch(train) [234][35/63] lr: 1.0000e-05 eta: 1 day, 0:15:14 time: 2.1009 data_time: 0.1662 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0660 loss: 0.2076 2022/08/26 14:48:03 - mmengine - INFO - Epoch(train) [234][40/63] lr: 1.0000e-05 eta: 1 day, 0:14:09 time: 2.0330 data_time: 0.0920 memory: 28971 loss_text: 0.1141 loss_kernel: 0.0541 loss: 0.1681 2022/08/26 14:48:08 - mmengine - INFO - Epoch(train) [234][45/63] lr: 1.0000e-05 eta: 1 day, 0:14:09 time: 2.0473 data_time: 0.0754 memory: 28971 loss_text: 0.1252 loss_kernel: 0.0593 loss: 0.1845 2022/08/26 14:48:27 - mmengine - INFO - Epoch(train) [234][50/63] lr: 1.0000e-05 eta: 1 day, 0:13:09 time: 2.3360 data_time: 0.1606 memory: 28971 loss_text: 0.1515 loss_kernel: 0.0698 loss: 0.2213 2022/08/26 14:48:43 - mmengine - INFO - Epoch(train) [234][55/63] lr: 1.0000e-05 eta: 1 day, 0:13:09 time: 3.4191 data_time: 0.1850 memory: 28971 loss_text: 0.1539 loss_kernel: 0.0700 loss: 0.2239 2022/08/26 14:48:50 - mmengine - INFO - Epoch(train) [234][60/63] lr: 1.0000e-05 eta: 1 day, 0:12:08 time: 2.3423 data_time: 0.2795 memory: 28971 loss_text: 0.1642 loss_kernel: 0.0753 loss: 0.2396 2022/08/26 14:49:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:50:53 - mmengine - INFO - Epoch(train) [235][5/63] lr: 1.0000e-05 eta: 1 day, 0:12:08 time: 12.4339 data_time: 9.4244 memory: 28971 loss_text: 0.1610 loss_kernel: 0.0735 loss: 0.2345 2022/08/26 14:50:59 - mmengine - INFO - Epoch(train) [235][10/63] lr: 1.0000e-05 eta: 1 day, 0:13:01 time: 11.4138 data_time: 9.4894 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0761 loss: 0.2429 2022/08/26 14:51:17 - mmengine - INFO - Epoch(train) [235][15/63] lr: 1.0000e-05 eta: 1 day, 0:13:01 time: 2.3864 data_time: 0.1154 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0600 loss: 0.1869 2022/08/26 14:51:23 - mmengine - INFO - Epoch(train) [235][20/63] lr: 1.0000e-05 eta: 1 day, 0:12:01 time: 2.3609 data_time: 0.1106 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0571 loss: 0.1797 2022/08/26 14:51:31 - mmengine - INFO - Epoch(train) [235][25/63] lr: 1.0000e-05 eta: 1 day, 0:12:01 time: 1.3387 data_time: 0.0814 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0645 loss: 0.2058 2022/08/26 14:51:36 - mmengine - INFO - Epoch(train) [235][30/63] lr: 1.0000e-05 eta: 1 day, 0:10:45 time: 1.3608 data_time: 0.0446 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0666 loss: 0.2102 2022/08/26 14:51:44 - mmengine - INFO - Epoch(train) [235][35/63] lr: 1.0000e-05 eta: 1 day, 0:10:45 time: 1.3027 data_time: 0.0474 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0592 loss: 0.1842 2022/08/26 14:51:50 - mmengine - INFO - Epoch(train) [235][40/63] lr: 1.0000e-05 eta: 1 day, 0:09:30 time: 1.3947 data_time: 0.0534 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0621 loss: 0.1952 2022/08/26 14:51:56 - mmengine - INFO - Epoch(train) [235][45/63] lr: 1.0000e-05 eta: 1 day, 0:09:30 time: 1.2752 data_time: 0.2147 memory: 28971 loss_text: 0.1391 loss_kernel: 0.0646 loss: 0.2037 2022/08/26 14:52:02 - mmengine - INFO - Epoch(train) [235][50/63] lr: 1.0000e-05 eta: 1 day, 0:08:12 time: 1.1907 data_time: 0.2094 memory: 28971 loss_text: 0.1403 loss_kernel: 0.0661 loss: 0.2063 2022/08/26 14:52:07 - mmengine - INFO - Epoch(train) [235][55/63] lr: 1.0000e-05 eta: 1 day, 0:08:12 time: 1.0480 data_time: 0.0474 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0679 loss: 0.2124 2022/08/26 14:52:15 - mmengine - INFO - Epoch(train) [235][60/63] lr: 1.0000e-05 eta: 1 day, 0:06:56 time: 1.3111 data_time: 0.0489 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0622 loss: 0.1933 2022/08/26 14:52:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:53:48 - mmengine - INFO - Epoch(train) [236][5/63] lr: 1.0000e-05 eta: 1 day, 0:06:56 time: 9.6089 data_time: 8.3908 memory: 28971 loss_text: 0.1832 loss_kernel: 0.0826 loss: 0.2659 2022/08/26 14:53:52 - mmengine - INFO - Epoch(train) [236][10/63] lr: 1.0000e-05 eta: 1 day, 0:07:17 time: 9.3921 data_time: 8.4029 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0768 loss: 0.2455 2022/08/26 14:53:59 - mmengine - INFO - Epoch(train) [236][15/63] lr: 1.0000e-05 eta: 1 day, 0:07:17 time: 1.0657 data_time: 0.0334 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0632 loss: 0.1962 2022/08/26 14:54:06 - mmengine - INFO - Epoch(train) [236][20/63] lr: 1.0000e-05 eta: 1 day, 0:06:01 time: 1.3491 data_time: 0.0803 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0566 loss: 0.1758 2022/08/26 14:54:15 - mmengine - INFO - Epoch(train) [236][25/63] lr: 1.0000e-05 eta: 1 day, 0:06:01 time: 1.6296 data_time: 0.0925 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0537 loss: 0.1691 2022/08/26 14:54:20 - mmengine - INFO - Epoch(train) [236][30/63] lr: 1.0000e-05 eta: 1 day, 0:04:48 time: 1.4769 data_time: 0.0356 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0641 loss: 0.2027 2022/08/26 14:54:25 - mmengine - INFO - Epoch(train) [236][35/63] lr: 1.0000e-05 eta: 1 day, 0:04:48 time: 1.0522 data_time: 0.0615 memory: 28971 loss_text: 0.1358 loss_kernel: 0.0638 loss: 0.1997 2022/08/26 14:54:29 - mmengine - INFO - Epoch(train) [236][40/63] lr: 1.0000e-05 eta: 1 day, 0:03:26 time: 0.8938 data_time: 0.0554 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0670 loss: 0.2120 2022/08/26 14:54:39 - mmengine - INFO - Epoch(train) [236][45/63] lr: 1.0000e-05 eta: 1 day, 0:03:26 time: 1.3425 data_time: 0.0393 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0676 loss: 0.2133 2022/08/26 14:54:43 - mmengine - INFO - Epoch(train) [236][50/63] lr: 1.0000e-05 eta: 1 day, 0:02:12 time: 1.4111 data_time: 0.0681 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0583 loss: 0.1812 2022/08/26 14:54:49 - mmengine - INFO - Epoch(train) [236][55/63] lr: 1.0000e-05 eta: 1 day, 0:02:12 time: 1.0858 data_time: 0.0512 memory: 28971 loss_text: 0.1115 loss_kernel: 0.0533 loss: 0.1649 2022/08/26 14:54:59 - mmengine - INFO - Epoch(train) [236][60/63] lr: 1.0000e-05 eta: 1 day, 0:01:00 time: 1.5798 data_time: 0.0888 memory: 28971 loss_text: 0.1126 loss_kernel: 0.0534 loss: 0.1660 2022/08/26 14:55:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 14:56:58 - mmengine - INFO - Epoch(train) [237][5/63] lr: 1.0000e-05 eta: 1 day, 0:01:00 time: 12.1657 data_time: 9.1039 memory: 28971 loss_text: 0.1573 loss_kernel: 0.0727 loss: 0.2300 2022/08/26 14:57:18 - mmengine - INFO - Epoch(train) [237][10/63] lr: 1.0000e-05 eta: 1 day, 0:02:24 time: 13.5519 data_time: 9.2191 memory: 28971 loss_text: 0.1609 loss_kernel: 0.0748 loss: 0.2356 2022/08/26 14:57:23 - mmengine - INFO - Epoch(train) [237][15/63] lr: 1.0000e-05 eta: 1 day, 0:02:24 time: 2.5118 data_time: 0.1974 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0537 loss: 0.1672 2022/08/26 14:57:44 - mmengine - INFO - Epoch(train) [237][20/63] lr: 1.0000e-05 eta: 1 day, 0:01:28 time: 2.5622 data_time: 0.1111 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0607 loss: 0.1911 2022/08/26 14:57:49 - mmengine - INFO - Epoch(train) [237][25/63] lr: 1.0000e-05 eta: 1 day, 0:01:28 time: 2.5667 data_time: 0.1273 memory: 28971 loss_text: 0.1499 loss_kernel: 0.0689 loss: 0.2188 2022/08/26 14:58:09 - mmengine - INFO - Epoch(train) [237][30/63] lr: 1.0000e-05 eta: 1 day, 0:00:31 time: 2.5470 data_time: 0.1355 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0594 loss: 0.1860 2022/08/26 14:58:15 - mmengine - INFO - Epoch(train) [237][35/63] lr: 1.0000e-05 eta: 1 day, 0:00:31 time: 2.5968 data_time: 0.1649 memory: 28971 loss_text: 0.1067 loss_kernel: 0.0511 loss: 0.1578 2022/08/26 14:58:34 - mmengine - INFO - Epoch(train) [237][40/63] lr: 1.0000e-05 eta: 23:59:34 time: 2.4853 data_time: 0.1594 memory: 28971 loss_text: 0.1426 loss_kernel: 0.0650 loss: 0.2076 2022/08/26 14:58:39 - mmengine - INFO - Epoch(train) [237][45/63] lr: 1.0000e-05 eta: 23:59:34 time: 2.4268 data_time: 0.1157 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0677 loss: 0.2161 2022/08/26 14:58:56 - mmengine - INFO - Epoch(train) [237][50/63] lr: 1.0000e-05 eta: 23:58:32 time: 2.2298 data_time: 0.0920 memory: 28971 loss_text: 0.1239 loss_kernel: 0.0587 loss: 0.1826 2022/08/26 14:59:02 - mmengine - INFO - Epoch(train) [237][55/63] lr: 1.0000e-05 eta: 23:58:32 time: 2.2898 data_time: 0.0783 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0631 loss: 0.2018 2022/08/26 14:59:18 - mmengine - INFO - Epoch(train) [237][60/63] lr: 1.0000e-05 eta: 23:57:29 time: 2.0959 data_time: 0.1476 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0706 loss: 0.2275 2022/08/26 14:59:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:01:10 - mmengine - INFO - Epoch(train) [238][5/63] lr: 1.0000e-05 eta: 23:57:29 time: 11.3431 data_time: 9.4887 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0674 loss: 0.2150 2022/08/26 15:01:15 - mmengine - INFO - Epoch(train) [238][10/63] lr: 1.0000e-05 eta: 23:58:18 time: 11.3129 data_time: 9.4741 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0614 loss: 0.1943 2022/08/26 15:01:25 - mmengine - INFO - Epoch(train) [238][15/63] lr: 1.0000e-05 eta: 23:58:18 time: 1.4800 data_time: 0.0711 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0667 loss: 0.2089 2022/08/26 15:01:30 - mmengine - INFO - Epoch(train) [238][20/63] lr: 1.0000e-05 eta: 23:57:05 time: 1.4429 data_time: 0.0769 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0777 loss: 0.2446 2022/08/26 15:01:46 - mmengine - INFO - Epoch(train) [238][25/63] lr: 1.0000e-05 eta: 23:57:05 time: 2.1175 data_time: 0.0958 memory: 28971 loss_text: 0.1526 loss_kernel: 0.0703 loss: 0.2229 2022/08/26 15:01:53 - mmengine - INFO - Epoch(train) [238][30/63] lr: 1.0000e-05 eta: 23:56:05 time: 2.3606 data_time: 0.0938 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0650 loss: 0.2057 2022/08/26 15:02:12 - mmengine - INFO - Epoch(train) [238][35/63] lr: 1.0000e-05 eta: 23:56:05 time: 2.5885 data_time: 0.1880 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0621 loss: 0.1930 2022/08/26 15:02:29 - mmengine - INFO - Epoch(train) [238][40/63] lr: 1.0000e-05 eta: 23:55:24 time: 3.5583 data_time: 0.1815 memory: 28971 loss_text: 0.1302 loss_kernel: 0.0610 loss: 0.1912 2022/08/26 15:02:35 - mmengine - INFO - Epoch(train) [238][45/63] lr: 1.0000e-05 eta: 23:55:24 time: 2.2948 data_time: 0.1700 memory: 28971 loss_text: 0.1487 loss_kernel: 0.0683 loss: 0.2170 2022/08/26 15:02:58 - mmengine - INFO - Epoch(train) [238][50/63] lr: 1.0000e-05 eta: 23:54:33 time: 2.8820 data_time: 0.2654 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0659 loss: 0.2065 2022/08/26 15:03:03 - mmengine - INFO - Epoch(train) [238][55/63] lr: 1.0000e-05 eta: 23:54:33 time: 2.8032 data_time: 0.2054 memory: 28971 loss_text: 0.1037 loss_kernel: 0.0506 loss: 0.1543 2022/08/26 15:03:16 - mmengine - INFO - Epoch(train) [238][60/63] lr: 1.0000e-05 eta: 23:53:26 time: 1.8519 data_time: 0.1069 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0636 loss: 0.1980 2022/08/26 15:03:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:05:16 - mmengine - INFO - Epoch(train) [239][5/63] lr: 1.0000e-05 eta: 23:53:26 time: 12.0702 data_time: 9.6632 memory: 28971 loss_text: 0.1725 loss_kernel: 0.0794 loss: 0.2519 2022/08/26 15:05:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:05:36 - mmengine - INFO - Epoch(train) [239][10/63] lr: 1.0000e-05 eta: 23:54:48 time: 13.5101 data_time: 9.8001 memory: 28971 loss_text: 0.1197 loss_kernel: 0.0570 loss: 0.1767 2022/08/26 15:05:40 - mmengine - INFO - Epoch(train) [239][15/63] lr: 1.0000e-05 eta: 23:54:48 time: 2.4891 data_time: 0.2488 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0562 loss: 0.1736 2022/08/26 15:05:58 - mmengine - INFO - Epoch(train) [239][20/63] lr: 1.0000e-05 eta: 23:53:46 time: 2.2022 data_time: 0.1034 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0601 loss: 0.1900 2022/08/26 15:06:02 - mmengine - INFO - Epoch(train) [239][25/63] lr: 1.0000e-05 eta: 23:53:46 time: 2.1740 data_time: 0.0877 memory: 28971 loss_text: 0.1403 loss_kernel: 0.0640 loss: 0.2043 2022/08/26 15:06:19 - mmengine - INFO - Epoch(train) [239][30/63] lr: 1.0000e-05 eta: 23:52:43 time: 2.1240 data_time: 0.1359 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0688 loss: 0.2157 2022/08/26 15:06:24 - mmengine - INFO - Epoch(train) [239][35/63] lr: 1.0000e-05 eta: 23:52:43 time: 2.1626 data_time: 0.1404 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0667 loss: 0.2083 2022/08/26 15:06:41 - mmengine - INFO - Epoch(train) [239][40/63] lr: 1.0000e-05 eta: 23:51:42 time: 2.1928 data_time: 0.1304 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0704 loss: 0.2234 2022/08/26 15:06:49 - mmengine - INFO - Epoch(train) [239][45/63] lr: 1.0000e-05 eta: 23:51:42 time: 2.5333 data_time: 0.1489 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0598 loss: 0.1879 2022/08/26 15:07:00 - mmengine - INFO - Epoch(train) [239][50/63] lr: 1.0000e-05 eta: 23:50:36 time: 1.9177 data_time: 0.1097 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0546 loss: 0.1681 2022/08/26 15:07:17 - mmengine - INFO - Epoch(train) [239][55/63] lr: 1.0000e-05 eta: 23:50:36 time: 2.7801 data_time: 0.1209 memory: 28971 loss_text: 0.1213 loss_kernel: 0.0581 loss: 0.1794 2022/08/26 15:07:37 - mmengine - INFO - Epoch(train) [239][60/63] lr: 1.0000e-05 eta: 23:49:56 time: 3.6418 data_time: 0.3468 memory: 28971 loss_text: 0.1244 loss_kernel: 0.0588 loss: 0.1832 2022/08/26 15:07:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:09:37 - mmengine - INFO - Epoch(train) [240][5/63] lr: 1.0000e-05 eta: 23:49:56 time: 13.5697 data_time: 9.7577 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0557 loss: 0.1749 2022/08/26 15:09:58 - mmengine - INFO - Epoch(train) [240][10/63] lr: 1.0000e-05 eta: 23:51:19 time: 13.6665 data_time: 9.6314 memory: 28971 loss_text: 0.1210 loss_kernel: 0.0558 loss: 0.1768 2022/08/26 15:10:03 - mmengine - INFO - Epoch(train) [240][15/63] lr: 1.0000e-05 eta: 23:51:19 time: 2.6187 data_time: 0.1366 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0572 loss: 0.1804 2022/08/26 15:10:20 - mmengine - INFO - Epoch(train) [240][20/63] lr: 1.0000e-05 eta: 23:50:18 time: 2.2091 data_time: 0.1294 memory: 28971 loss_text: 0.1063 loss_kernel: 0.0497 loss: 0.1560 2022/08/26 15:10:26 - mmengine - INFO - Epoch(train) [240][25/63] lr: 1.0000e-05 eta: 23:50:18 time: 2.2683 data_time: 0.1214 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0564 loss: 0.1755 2022/08/26 15:10:45 - mmengine - INFO - Epoch(train) [240][30/63] lr: 1.0000e-05 eta: 23:49:21 time: 2.5368 data_time: 0.1742 memory: 28971 loss_text: 0.1412 loss_kernel: 0.0675 loss: 0.2087 2022/08/26 15:10:50 - mmengine - INFO - Epoch(train) [240][35/63] lr: 1.0000e-05 eta: 23:49:21 time: 2.4096 data_time: 0.1226 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0687 loss: 0.2144 2022/08/26 15:11:08 - mmengine - INFO - Epoch(train) [240][40/63] lr: 1.0000e-05 eta: 23:48:21 time: 2.2479 data_time: 0.0752 memory: 28971 loss_text: 0.1346 loss_kernel: 0.0632 loss: 0.1978 2022/08/26 15:11:13 - mmengine - INFO - Epoch(train) [240][45/63] lr: 1.0000e-05 eta: 23:48:21 time: 2.3122 data_time: 0.1069 memory: 28971 loss_text: 0.1306 loss_kernel: 0.0612 loss: 0.1918 2022/08/26 15:11:28 - mmengine - INFO - Epoch(train) [240][50/63] lr: 1.0000e-05 eta: 23:47:17 time: 2.0215 data_time: 0.0842 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0631 loss: 0.1988 2022/08/26 15:11:35 - mmengine - INFO - Epoch(train) [240][55/63] lr: 1.0000e-05 eta: 23:47:17 time: 2.2156 data_time: 0.1627 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0621 loss: 0.1941 2022/08/26 15:11:53 - mmengine - INFO - Epoch(train) [240][60/63] lr: 1.0000e-05 eta: 23:46:19 time: 2.4333 data_time: 0.2396 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0646 loss: 0.2020 2022/08/26 15:11:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:11:56 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/26 15:12:42 - mmengine - INFO - Epoch(val) [240][5/500] eta: 23:46:19 time: 3.8911 data_time: 3.3936 memory: 28971 2022/08/26 15:12:42 - mmengine - INFO - Epoch(val) [240][10/500] eta: 0:31:54 time: 3.9082 data_time: 3.4097 memory: 3207 2022/08/26 15:12:42 - mmengine - INFO - Epoch(val) [240][15/500] eta: 0:31:54 time: 0.0991 data_time: 0.0190 memory: 3207 2022/08/26 15:12:43 - mmengine - INFO - Epoch(val) [240][20/500] eta: 0:00:39 time: 0.0832 data_time: 0.0025 memory: 3207 2022/08/26 15:12:43 - mmengine - INFO - Epoch(val) [240][25/500] eta: 0:00:39 time: 0.0865 data_time: 0.0025 memory: 3207 2022/08/26 15:12:44 - mmengine - INFO - Epoch(val) [240][30/500] eta: 0:00:42 time: 0.0904 data_time: 0.0025 memory: 3207 2022/08/26 15:12:44 - mmengine - INFO - Epoch(val) [240][35/500] eta: 0:00:42 time: 0.0977 data_time: 0.0130 memory: 3207 2022/08/26 15:12:45 - mmengine - INFO - Epoch(val) [240][40/500] eta: 0:00:45 time: 0.0979 data_time: 0.0131 memory: 3207 2022/08/26 15:12:45 - mmengine - INFO - Epoch(val) [240][45/500] eta: 0:00:45 time: 0.0888 data_time: 0.0025 memory: 3207 2022/08/26 15:12:46 - mmengine - INFO - Epoch(val) [240][50/500] eta: 0:00:45 time: 0.1004 data_time: 0.0067 memory: 3207 2022/08/26 15:12:46 - mmengine - INFO - Epoch(val) [240][55/500] eta: 0:00:45 time: 0.1011 data_time: 0.0067 memory: 3207 2022/08/26 15:12:47 - mmengine - INFO - Epoch(val) [240][60/500] eta: 0:01:02 time: 0.1420 data_time: 0.0614 memory: 3207 2022/08/26 15:12:48 - mmengine - INFO - Epoch(val) [240][65/500] eta: 0:01:02 time: 0.1439 data_time: 0.0613 memory: 3207 2022/08/26 15:12:48 - mmengine - INFO - Epoch(val) [240][70/500] eta: 0:00:41 time: 0.0964 data_time: 0.0097 memory: 3207 2022/08/26 15:12:48 - mmengine - INFO - Epoch(val) [240][75/500] eta: 0:00:41 time: 0.0926 data_time: 0.0097 memory: 3207 2022/08/26 15:12:49 - mmengine - INFO - Epoch(val) [240][80/500] eta: 0:00:36 time: 0.0858 data_time: 0.0026 memory: 3207 2022/08/26 15:12:49 - mmengine - INFO - Epoch(val) [240][85/500] eta: 0:00:36 time: 0.0838 data_time: 0.0027 memory: 3207 2022/08/26 15:12:50 - mmengine - INFO - Epoch(val) [240][90/500] eta: 0:00:34 time: 0.0851 data_time: 0.0026 memory: 3207 2022/08/26 15:12:51 - mmengine - INFO - Epoch(val) [240][95/500] eta: 0:00:34 time: 0.2037 data_time: 0.0031 memory: 3207 2022/08/26 15:12:57 - mmengine - INFO - Epoch(val) [240][100/500] eta: 0:05:02 time: 0.7565 data_time: 0.4741 memory: 3207 2022/08/26 15:12:58 - mmengine - INFO - Epoch(val) [240][105/500] eta: 0:05:02 time: 0.6636 data_time: 0.4916 memory: 3207 2022/08/26 15:12:58 - mmengine - INFO - Epoch(val) [240][110/500] eta: 0:00:45 time: 0.1157 data_time: 0.0206 memory: 3207 2022/08/26 15:12:59 - mmengine - INFO - Epoch(val) [240][115/500] eta: 0:00:45 time: 0.0990 data_time: 0.0037 memory: 3207 2022/08/26 15:12:59 - mmengine - INFO - Epoch(val) [240][120/500] eta: 0:00:34 time: 0.0902 data_time: 0.0037 memory: 3207 2022/08/26 15:13:00 - mmengine - INFO - Epoch(val) [240][125/500] eta: 0:00:34 time: 0.0824 data_time: 0.0024 memory: 3207 2022/08/26 15:13:00 - mmengine - INFO - Epoch(val) [240][130/500] eta: 0:00:35 time: 0.0963 data_time: 0.0024 memory: 3207 2022/08/26 15:13:01 - mmengine - INFO - Epoch(val) [240][135/500] eta: 0:00:35 time: 0.1002 data_time: 0.0024 memory: 3207 2022/08/26 15:13:02 - mmengine - INFO - Epoch(val) [240][140/500] eta: 0:00:46 time: 0.1284 data_time: 0.0024 memory: 3207 2022/08/26 15:13:02 - mmengine - INFO - Epoch(val) [240][145/500] eta: 0:00:46 time: 0.1330 data_time: 0.0078 memory: 3207 2022/08/26 15:13:03 - mmengine - INFO - Epoch(val) [240][150/500] eta: 0:00:31 time: 0.0908 data_time: 0.0078 memory: 3207 2022/08/26 15:13:03 - mmengine - INFO - Epoch(val) [240][155/500] eta: 0:00:31 time: 0.0886 data_time: 0.0024 memory: 3207 2022/08/26 15:13:03 - mmengine - INFO - Epoch(val) [240][160/500] eta: 0:00:30 time: 0.0906 data_time: 0.0028 memory: 3207 2022/08/26 15:13:04 - mmengine - INFO - Epoch(val) [240][165/500] eta: 0:00:30 time: 0.0895 data_time: 0.0031 memory: 3207 2022/08/26 15:13:04 - mmengine - INFO - Epoch(val) [240][170/500] eta: 0:00:30 time: 0.0915 data_time: 0.0031 memory: 3207 2022/08/26 15:13:05 - mmengine - INFO - Epoch(val) [240][175/500] eta: 0:00:30 time: 0.0847 data_time: 0.0028 memory: 3207 2022/08/26 15:13:06 - mmengine - INFO - Epoch(val) [240][180/500] eta: 0:01:05 time: 0.2041 data_time: 0.0029 memory: 3207 2022/08/26 15:13:07 - mmengine - INFO - Epoch(val) [240][185/500] eta: 0:01:05 time: 0.2416 data_time: 0.0220 memory: 3207 2022/08/26 15:13:11 - mmengine - INFO - Epoch(val) [240][190/500] eta: 0:02:30 time: 0.4866 data_time: 0.0303 memory: 3207 2022/08/26 15:13:12 - mmengine - INFO - Epoch(val) [240][195/500] eta: 0:02:30 time: 0.4995 data_time: 0.0207 memory: 3207 2022/08/26 15:13:13 - mmengine - INFO - Epoch(val) [240][200/500] eta: 0:00:43 time: 0.1465 data_time: 0.0120 memory: 3207 2022/08/26 15:13:13 - mmengine - INFO - Epoch(val) [240][205/500] eta: 0:00:43 time: 0.0993 data_time: 0.0041 memory: 3207 2022/08/26 15:13:14 - mmengine - INFO - Epoch(val) [240][210/500] eta: 0:00:23 time: 0.0827 data_time: 0.0042 memory: 3207 2022/08/26 15:13:14 - mmengine - INFO - Epoch(val) [240][215/500] eta: 0:00:23 time: 0.0827 data_time: 0.0025 memory: 3207 2022/08/26 15:13:14 - mmengine - INFO - Epoch(val) [240][220/500] eta: 0:00:23 time: 0.0838 data_time: 0.0023 memory: 3207 2022/08/26 15:13:15 - mmengine - INFO - Epoch(val) [240][225/500] eta: 0:00:23 time: 0.0848 data_time: 0.0023 memory: 3207 2022/08/26 15:13:15 - mmengine - INFO - Epoch(val) [240][230/500] eta: 0:00:25 time: 0.0952 data_time: 0.0143 memory: 3207 2022/08/26 15:13:16 - mmengine - INFO - Epoch(val) [240][235/500] eta: 0:00:25 time: 0.0942 data_time: 0.0143 memory: 3207 2022/08/26 15:13:16 - mmengine - INFO - Epoch(val) [240][240/500] eta: 0:00:22 time: 0.0853 data_time: 0.0024 memory: 3207 2022/08/26 15:13:18 - mmengine - INFO - Epoch(val) [240][245/500] eta: 0:00:22 time: 0.1805 data_time: 0.0254 memory: 3207 2022/08/26 15:13:18 - mmengine - INFO - Epoch(val) [240][250/500] eta: 0:00:45 time: 0.1805 data_time: 0.0254 memory: 3207 2022/08/26 15:13:18 - mmengine - INFO - Epoch(val) [240][255/500] eta: 0:00:45 time: 0.0838 data_time: 0.0026 memory: 3207 2022/08/26 15:13:19 - mmengine - INFO - Epoch(val) [240][260/500] eta: 0:00:20 time: 0.0846 data_time: 0.0035 memory: 3207 2022/08/26 15:13:19 - mmengine - INFO - Epoch(val) [240][265/500] eta: 0:00:20 time: 0.0872 data_time: 0.0037 memory: 3207 2022/08/26 15:13:20 - mmengine - INFO - Epoch(val) [240][270/500] eta: 0:00:19 time: 0.0852 data_time: 0.0027 memory: 3207 2022/08/26 15:13:20 - mmengine - INFO - Epoch(val) [240][275/500] eta: 0:00:19 time: 0.0818 data_time: 0.0026 memory: 3207 2022/08/26 15:13:21 - mmengine - INFO - Epoch(val) [240][280/500] eta: 0:00:18 time: 0.0842 data_time: 0.0028 memory: 3207 2022/08/26 15:13:21 - mmengine - INFO - Epoch(val) [240][285/500] eta: 0:00:18 time: 0.0891 data_time: 0.0028 memory: 3207 2022/08/26 15:13:26 - mmengine - INFO - Epoch(val) [240][290/500] eta: 0:01:57 time: 0.5609 data_time: 0.0584 memory: 3207 2022/08/26 15:13:28 - mmengine - INFO - Epoch(val) [240][295/500] eta: 0:01:57 time: 0.7402 data_time: 0.1669 memory: 3207 2022/08/26 15:13:31 - mmengine - INFO - Epoch(val) [240][300/500] eta: 0:01:31 time: 0.4584 data_time: 0.1245 memory: 3207 2022/08/26 15:13:31 - mmengine - INFO - Epoch(val) [240][305/500] eta: 0:01:31 time: 0.2879 data_time: 0.0206 memory: 3207 2022/08/26 15:13:32 - mmengine - INFO - Epoch(val) [240][310/500] eta: 0:00:18 time: 0.0962 data_time: 0.0072 memory: 3207 2022/08/26 15:13:32 - mmengine - INFO - Epoch(val) [240][315/500] eta: 0:00:18 time: 0.0875 data_time: 0.0027 memory: 3207 2022/08/26 15:13:33 - mmengine - INFO - Epoch(val) [240][320/500] eta: 0:00:24 time: 0.1387 data_time: 0.0071 memory: 3207 2022/08/26 15:13:34 - mmengine - INFO - Epoch(val) [240][325/500] eta: 0:00:24 time: 0.1493 data_time: 0.0071 memory: 3207 2022/08/26 15:13:34 - mmengine - INFO - Epoch(val) [240][330/500] eta: 0:00:20 time: 0.1191 data_time: 0.0026 memory: 3207 2022/08/26 15:13:35 - mmengine - INFO - Epoch(val) [240][335/500] eta: 0:00:20 time: 0.1035 data_time: 0.0026 memory: 3207 2022/08/26 15:13:35 - mmengine - INFO - Epoch(val) [240][340/500] eta: 0:00:14 time: 0.0891 data_time: 0.0026 memory: 3207 2022/08/26 15:13:36 - mmengine - INFO - Epoch(val) [240][345/500] eta: 0:00:14 time: 0.0905 data_time: 0.0026 memory: 3207 2022/08/26 15:13:36 - mmengine - INFO - Epoch(val) [240][350/500] eta: 0:00:14 time: 0.0937 data_time: 0.0062 memory: 3207 2022/08/26 15:13:42 - mmengine - INFO - Epoch(val) [240][355/500] eta: 0:00:14 time: 0.6262 data_time: 0.0100 memory: 3207 2022/08/26 15:13:42 - mmengine - INFO - Epoch(val) [240][360/500] eta: 0:01:28 time: 0.6333 data_time: 0.0230 memory: 3207 2022/08/26 15:13:43 - mmengine - INFO - Epoch(val) [240][365/500] eta: 0:01:28 time: 0.1452 data_time: 0.0235 memory: 3207 2022/08/26 15:13:44 - mmengine - INFO - Epoch(val) [240][370/500] eta: 0:00:16 time: 0.1263 data_time: 0.0070 memory: 3207 2022/08/26 15:13:44 - mmengine - INFO - Epoch(val) [240][375/500] eta: 0:00:16 time: 0.1046 data_time: 0.0026 memory: 3207 2022/08/26 15:13:45 - mmengine - INFO - Epoch(val) [240][380/500] eta: 0:00:12 time: 0.1081 data_time: 0.0026 memory: 3207 2022/08/26 15:13:45 - mmengine - INFO - Epoch(val) [240][385/500] eta: 0:00:12 time: 0.0860 data_time: 0.0035 memory: 3207 2022/08/26 15:13:46 - mmengine - INFO - Epoch(val) [240][390/500] eta: 0:00:09 time: 0.0847 data_time: 0.0035 memory: 3207 2022/08/26 15:13:46 - mmengine - INFO - Epoch(val) [240][395/500] eta: 0:00:09 time: 0.1052 data_time: 0.0031 memory: 3207 2022/08/26 15:13:47 - mmengine - INFO - Epoch(val) [240][400/500] eta: 0:00:12 time: 0.1265 data_time: 0.0233 memory: 3207 2022/08/26 15:13:48 - mmengine - INFO - Epoch(val) [240][405/500] eta: 0:00:12 time: 0.1252 data_time: 0.0416 memory: 3207 2022/08/26 15:13:48 - mmengine - INFO - Epoch(val) [240][410/500] eta: 0:00:09 time: 0.1062 data_time: 0.0216 memory: 3207 2022/08/26 15:13:48 - mmengine - INFO - Epoch(val) [240][415/500] eta: 0:00:09 time: 0.0857 data_time: 0.0028 memory: 3207 2022/08/26 15:13:49 - mmengine - INFO - Epoch(val) [240][420/500] eta: 0:00:06 time: 0.0798 data_time: 0.0026 memory: 3207 2022/08/26 15:13:49 - mmengine - INFO - Epoch(val) [240][425/500] eta: 0:00:06 time: 0.0797 data_time: 0.0026 memory: 3207 2022/08/26 15:13:50 - mmengine - INFO - Epoch(val) [240][430/500] eta: 0:00:06 time: 0.0920 data_time: 0.0026 memory: 3207 2022/08/26 15:13:50 - mmengine - INFO - Epoch(val) [240][435/500] eta: 0:00:06 time: 0.0918 data_time: 0.0026 memory: 3207 2022/08/26 15:13:51 - mmengine - INFO - Epoch(val) [240][440/500] eta: 0:00:04 time: 0.0826 data_time: 0.0026 memory: 3207 2022/08/26 15:13:52 - mmengine - INFO - Epoch(val) [240][445/500] eta: 0:00:04 time: 0.1533 data_time: 0.0380 memory: 3207 2022/08/26 15:13:59 - mmengine - INFO - Epoch(val) [240][450/500] eta: 0:00:40 time: 0.8182 data_time: 0.0924 memory: 3207 2022/08/26 15:13:59 - mmengine - INFO - Epoch(val) [240][455/500] eta: 0:00:40 time: 0.7554 data_time: 0.0634 memory: 3207 2022/08/26 15:14:00 - mmengine - INFO - Epoch(val) [240][460/500] eta: 0:00:03 time: 0.0964 data_time: 0.0090 memory: 3207 2022/08/26 15:14:00 - mmengine - INFO - Epoch(val) [240][465/500] eta: 0:00:03 time: 0.1080 data_time: 0.0027 memory: 3207 2022/08/26 15:14:01 - mmengine - INFO - Epoch(val) [240][470/500] eta: 0:00:03 time: 0.1022 data_time: 0.0026 memory: 3207 2022/08/26 15:14:01 - mmengine - INFO - Epoch(val) [240][475/500] eta: 0:00:03 time: 0.0817 data_time: 0.0025 memory: 3207 2022/08/26 15:14:02 - mmengine - INFO - Epoch(val) [240][480/500] eta: 0:00:02 time: 0.1132 data_time: 0.0136 memory: 3207 2022/08/26 15:14:02 - mmengine - INFO - Epoch(val) [240][485/500] eta: 0:00:02 time: 0.1143 data_time: 0.0136 memory: 3207 2022/08/26 15:14:03 - mmengine - INFO - Epoch(val) [240][490/500] eta: 0:00:00 time: 0.0837 data_time: 0.0025 memory: 3207 2022/08/26 15:14:03 - mmengine - INFO - Epoch(val) [240][495/500] eta: 0:00:00 time: 0.0867 data_time: 0.0024 memory: 3207 2022/08/26 15:14:04 - mmengine - INFO - Epoch(val) [240][500/500] eta: 0:00:00 time: 0.1659 data_time: 0.0518 memory: 3207 2022/08/26 15:14:05 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:14:05 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7819, precision: 0.6512, hmean: 0.7106 2022/08/26 15:14:05 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7819, precision: 0.6512, hmean: 0.7106 2022/08/26 15:14:05 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7819, precision: 0.6512, hmean: 0.7106 2022/08/26 15:14:05 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7819, precision: 0.6870, hmean: 0.7314 2022/08/26 15:14:05 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7814, precision: 0.7314, hmean: 0.7556 2022/08/26 15:14:05 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7771, precision: 0.7805, hmean: 0.7788 2022/08/26 15:14:05 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7453, precision: 0.8381, hmean: 0.7890 2022/08/26 15:14:05 - mmengine - INFO - Epoch(val) [240][500/500] icdar/precision: 0.8381 icdar/recall: 0.7453 icdar/hmean: 0.7890 2022/08/26 15:15:53 - mmengine - INFO - Epoch(train) [241][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 11.3932 data_time: 9.6716 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0652 loss: 0.2076 2022/08/26 15:16:11 - mmengine - INFO - Epoch(train) [241][10/63] lr: 1.0000e-05 eta: 23:47:25 time: 12.5843 data_time: 9.6058 memory: 28971 loss_text: 0.1581 loss_kernel: 0.0724 loss: 0.2305 2022/08/26 15:16:16 - mmengine - INFO - Epoch(train) [241][15/63] lr: 1.0000e-05 eta: 23:47:25 time: 2.3379 data_time: 0.0862 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0615 loss: 0.1923 2022/08/26 15:16:32 - mmengine - INFO - Epoch(train) [241][20/63] lr: 1.0000e-05 eta: 23:46:22 time: 2.0800 data_time: 0.0901 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0627 loss: 0.1975 2022/08/26 15:16:37 - mmengine - INFO - Epoch(train) [241][25/63] lr: 1.0000e-05 eta: 23:46:22 time: 2.0722 data_time: 0.1515 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0682 loss: 0.2143 2022/08/26 15:16:56 - mmengine - INFO - Epoch(train) [241][30/63] lr: 1.0000e-05 eta: 23:45:23 time: 2.4131 data_time: 0.1475 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0675 loss: 0.2105 2022/08/26 15:17:12 - mmengine - INFO - Epoch(train) [241][35/63] lr: 1.0000e-05 eta: 23:45:23 time: 3.4960 data_time: 0.1649 memory: 28971 loss_text: 0.1525 loss_kernel: 0.0710 loss: 0.2235 2022/08/26 15:17:20 - mmengine - INFO - Epoch(train) [241][40/63] lr: 1.0000e-05 eta: 23:44:25 time: 2.3973 data_time: 0.1868 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0700 loss: 0.2194 2022/08/26 15:17:36 - mmengine - INFO - Epoch(train) [241][45/63] lr: 1.0000e-05 eta: 23:44:25 time: 2.4264 data_time: 0.1485 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0690 loss: 0.2160 2022/08/26 15:18:00 - mmengine - INFO - Epoch(train) [241][50/63] lr: 1.0000e-05 eta: 23:43:51 time: 4.0192 data_time: 0.1820 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0704 loss: 0.2195 2022/08/26 15:18:04 - mmengine - INFO - Epoch(train) [241][55/63] lr: 1.0000e-05 eta: 23:43:51 time: 2.8237 data_time: 0.1410 memory: 28971 loss_text: 0.1180 loss_kernel: 0.0565 loss: 0.1745 2022/08/26 15:18:23 - mmengine - INFO - Epoch(train) [241][60/63] lr: 1.0000e-05 eta: 23:42:51 time: 2.2864 data_time: 0.0490 memory: 28971 loss_text: 0.1129 loss_kernel: 0.0533 loss: 0.1662 2022/08/26 15:18:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:20:16 - mmengine - INFO - Epoch(train) [242][5/63] lr: 1.0000e-05 eta: 23:42:51 time: 11.4430 data_time: 9.5447 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0543 loss: 0.1677 2022/08/26 15:20:22 - mmengine - INFO - Epoch(train) [242][10/63] lr: 1.0000e-05 eta: 23:43:40 time: 11.5032 data_time: 9.5864 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0615 loss: 0.1922 2022/08/26 15:20:43 - mmengine - INFO - Epoch(train) [242][15/63] lr: 1.0000e-05 eta: 23:43:40 time: 2.6328 data_time: 0.1297 memory: 28971 loss_text: 0.1056 loss_kernel: 0.0512 loss: 0.1568 2022/08/26 15:20:48 - mmengine - INFO - Epoch(train) [242][20/63] lr: 1.0000e-05 eta: 23:42:44 time: 2.5351 data_time: 0.1330 memory: 28971 loss_text: 0.0959 loss_kernel: 0.0463 loss: 0.1422 2022/08/26 15:21:05 - mmengine - INFO - Epoch(train) [242][25/63] lr: 1.0000e-05 eta: 23:42:44 time: 2.2213 data_time: 0.1518 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0585 loss: 0.1830 2022/08/26 15:21:09 - mmengine - INFO - Epoch(train) [242][30/63] lr: 1.0000e-05 eta: 23:41:42 time: 2.1825 data_time: 0.0981 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0670 loss: 0.2078 2022/08/26 15:21:25 - mmengine - INFO - Epoch(train) [242][35/63] lr: 1.0000e-05 eta: 23:41:42 time: 2.0514 data_time: 0.1237 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0597 loss: 0.1845 2022/08/26 15:21:29 - mmengine - INFO - Epoch(train) [242][40/63] lr: 1.0000e-05 eta: 23:40:38 time: 1.9955 data_time: 0.1008 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0562 loss: 0.1738 2022/08/26 15:21:48 - mmengine - INFO - Epoch(train) [242][45/63] lr: 1.0000e-05 eta: 23:40:38 time: 2.3017 data_time: 0.0631 memory: 28971 loss_text: 0.1091 loss_kernel: 0.0530 loss: 0.1620 2022/08/26 15:21:53 - mmengine - INFO - Epoch(train) [242][50/63] lr: 1.0000e-05 eta: 23:39:39 time: 2.3206 data_time: 0.0895 memory: 28971 loss_text: 0.1113 loss_kernel: 0.0538 loss: 0.1652 2022/08/26 15:22:09 - mmengine - INFO - Epoch(train) [242][55/63] lr: 1.0000e-05 eta: 23:39:39 time: 2.0750 data_time: 0.1123 memory: 28971 loss_text: 0.0967 loss_kernel: 0.0468 loss: 0.1435 2022/08/26 15:22:14 - mmengine - INFO - Epoch(train) [242][60/63] lr: 1.0000e-05 eta: 23:38:37 time: 2.1567 data_time: 0.1516 memory: 28971 loss_text: 0.1095 loss_kernel: 0.0525 loss: 0.1620 2022/08/26 15:22:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:24:15 - mmengine - INFO - Epoch(train) [243][5/63] lr: 1.0000e-05 eta: 23:38:37 time: 12.1805 data_time: 9.7838 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0621 loss: 0.1955 2022/08/26 15:24:19 - mmengine - INFO - Epoch(train) [243][10/63] lr: 1.0000e-05 eta: 23:39:36 time: 12.1791 data_time: 9.8177 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0661 loss: 0.2084 2022/08/26 15:24:38 - mmengine - INFO - Epoch(train) [243][15/63] lr: 1.0000e-05 eta: 23:39:36 time: 2.3184 data_time: 0.1287 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0642 loss: 0.2003 2022/08/26 15:24:43 - mmengine - INFO - Epoch(train) [243][20/63] lr: 1.0000e-05 eta: 23:38:37 time: 2.3651 data_time: 0.1328 memory: 28971 loss_text: 0.1043 loss_kernel: 0.0501 loss: 0.1544 2022/08/26 15:25:04 - mmengine - INFO - Epoch(train) [243][25/63] lr: 1.0000e-05 eta: 23:38:37 time: 2.6303 data_time: 0.1289 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0556 loss: 0.1752 2022/08/26 15:25:12 - mmengine - INFO - Epoch(train) [243][30/63] lr: 1.0000e-05 eta: 23:37:47 time: 2.9159 data_time: 0.1497 memory: 28971 loss_text: 0.1566 loss_kernel: 0.0726 loss: 0.2292 2022/08/26 15:25:30 - mmengine - INFO - Epoch(train) [243][35/63] lr: 1.0000e-05 eta: 23:37:47 time: 2.6026 data_time: 0.1409 memory: 28971 loss_text: 0.1391 loss_kernel: 0.0655 loss: 0.2046 2022/08/26 15:25:50 - mmengine - INFO - Epoch(train) [243][40/63] lr: 1.0000e-05 eta: 23:37:08 time: 3.7432 data_time: 0.1243 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0548 loss: 0.1700 2022/08/26 15:26:11 - mmengine - INFO - Epoch(train) [243][45/63] lr: 1.0000e-05 eta: 23:37:08 time: 4.0523 data_time: 0.3895 memory: 28971 loss_text: 0.1056 loss_kernel: 0.0505 loss: 0.1561 2022/08/26 15:26:21 - mmengine - INFO - Epoch(train) [243][50/63] lr: 1.0000e-05 eta: 23:36:21 time: 3.1295 data_time: 0.4715 memory: 28971 loss_text: 0.1088 loss_kernel: 0.0532 loss: 0.1621 2022/08/26 15:26:40 - mmengine - INFO - Epoch(train) [243][55/63] lr: 1.0000e-05 eta: 23:36:21 time: 2.9738 data_time: 0.1625 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0593 loss: 0.1824 2022/08/26 15:26:50 - mmengine - INFO - Epoch(train) [243][60/63] lr: 1.0000e-05 eta: 23:35:31 time: 2.9458 data_time: 0.1308 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0643 loss: 0.2025 2022/08/26 15:26:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:28:42 - mmengine - INFO - Epoch(train) [244][5/63] lr: 1.0000e-05 eta: 23:35:31 time: 11.3036 data_time: 9.5120 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0526 loss: 0.1661 2022/08/26 15:28:48 - mmengine - INFO - Epoch(train) [244][10/63] lr: 1.0000e-05 eta: 23:36:16 time: 11.2980 data_time: 9.5230 memory: 28971 loss_text: 0.0965 loss_kernel: 0.0446 loss: 0.1411 2022/08/26 15:29:06 - mmengine - INFO - Epoch(train) [244][15/63] lr: 1.0000e-05 eta: 23:36:16 time: 2.3900 data_time: 0.1216 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0588 loss: 0.1856 2022/08/26 15:29:11 - mmengine - INFO - Epoch(train) [244][20/63] lr: 1.0000e-05 eta: 23:35:16 time: 2.2584 data_time: 0.1149 memory: 28971 loss_text: 0.1366 loss_kernel: 0.0633 loss: 0.1999 2022/08/26 15:29:30 - mmengine - INFO - Epoch(train) [244][25/63] lr: 1.0000e-05 eta: 23:35:16 time: 2.3382 data_time: 0.1062 memory: 28971 loss_text: 0.1137 loss_kernel: 0.0542 loss: 0.1678 2022/08/26 15:29:34 - mmengine - INFO - Epoch(train) [244][30/63] lr: 1.0000e-05 eta: 23:34:17 time: 2.3355 data_time: 0.1275 memory: 28971 loss_text: 0.1585 loss_kernel: 0.0735 loss: 0.2320 2022/08/26 15:29:53 - mmengine - INFO - Epoch(train) [244][35/63] lr: 1.0000e-05 eta: 23:34:17 time: 2.3567 data_time: 0.0668 memory: 28971 loss_text: 0.1737 loss_kernel: 0.0797 loss: 0.2534 2022/08/26 15:29:58 - mmengine - INFO - Epoch(train) [244][40/63] lr: 1.0000e-05 eta: 23:33:18 time: 2.3693 data_time: 0.0586 memory: 28971 loss_text: 0.1149 loss_kernel: 0.0551 loss: 0.1700 2022/08/26 15:30:14 - mmengine - INFO - Epoch(train) [244][45/63] lr: 1.0000e-05 eta: 23:33:18 time: 2.0625 data_time: 0.1076 memory: 28971 loss_text: 0.1205 loss_kernel: 0.0580 loss: 0.1785 2022/08/26 15:30:28 - mmengine - INFO - Epoch(train) [244][50/63] lr: 1.0000e-05 eta: 23:32:29 time: 2.9766 data_time: 0.1996 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0589 loss: 0.1817 2022/08/26 15:30:38 - mmengine - INFO - Epoch(train) [244][55/63] lr: 1.0000e-05 eta: 23:32:29 time: 2.3912 data_time: 0.2591 memory: 28971 loss_text: 0.1039 loss_kernel: 0.0502 loss: 0.1541 2022/08/26 15:30:56 - mmengine - INFO - Epoch(train) [244][60/63] lr: 1.0000e-05 eta: 23:31:36 time: 2.7594 data_time: 0.1708 memory: 28971 loss_text: 0.1434 loss_kernel: 0.0662 loss: 0.2096 2022/08/26 15:31:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:32:49 - mmengine - INFO - Epoch(train) [245][5/63] lr: 1.0000e-05 eta: 23:31:36 time: 11.9200 data_time: 9.9267 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0605 loss: 0.1898 2022/08/26 15:32:56 - mmengine - INFO - Epoch(train) [245][10/63] lr: 1.0000e-05 eta: 23:32:20 time: 11.3109 data_time: 9.7598 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0597 loss: 0.1873 2022/08/26 15:33:12 - mmengine - INFO - Epoch(train) [245][15/63] lr: 1.0000e-05 eta: 23:32:20 time: 2.2934 data_time: 0.3184 memory: 28971 loss_text: 0.1237 loss_kernel: 0.0584 loss: 0.1821 2022/08/26 15:33:31 - mmengine - INFO - Epoch(train) [245][20/63] lr: 1.0000e-05 eta: 23:31:39 time: 3.5212 data_time: 0.3324 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0642 loss: 0.2014 2022/08/26 15:33:36 - mmengine - INFO - Epoch(train) [245][25/63] lr: 1.0000e-05 eta: 23:31:39 time: 2.4040 data_time: 0.1612 memory: 28971 loss_text: 0.1405 loss_kernel: 0.0656 loss: 0.2061 2022/08/26 15:33:55 - mmengine - INFO - Epoch(train) [245][30/63] lr: 1.0000e-05 eta: 23:30:41 time: 2.3760 data_time: 0.1353 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0637 loss: 0.2011 2022/08/26 15:34:01 - mmengine - INFO - Epoch(train) [245][35/63] lr: 1.0000e-05 eta: 23:30:41 time: 2.4274 data_time: 0.1378 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0627 loss: 0.1956 2022/08/26 15:34:24 - mmengine - INFO - Epoch(train) [245][40/63] lr: 1.0000e-05 eta: 23:29:50 time: 2.9233 data_time: 0.3004 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0620 loss: 0.1930 2022/08/26 15:34:45 - mmengine - INFO - Epoch(train) [245][45/63] lr: 1.0000e-05 eta: 23:29:50 time: 4.4032 data_time: 0.2813 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0612 loss: 0.1941 2022/08/26 15:34:50 - mmengine - INFO - Epoch(train) [245][50/63] lr: 1.0000e-05 eta: 23:28:56 time: 2.6229 data_time: 0.1955 memory: 28971 loss_text: 0.1302 loss_kernel: 0.0609 loss: 0.1911 2022/08/26 15:35:10 - mmengine - INFO - Epoch(train) [245][55/63] lr: 1.0000e-05 eta: 23:28:56 time: 2.5143 data_time: 0.1674 memory: 28971 loss_text: 0.1241 loss_kernel: 0.0592 loss: 0.1833 2022/08/26 15:35:14 - mmengine - INFO - Epoch(train) [245][60/63] lr: 1.0000e-05 eta: 23:27:58 time: 2.4038 data_time: 0.0802 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0664 loss: 0.2093 2022/08/26 15:35:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:37:23 - mmengine - INFO - Epoch(train) [246][5/63] lr: 1.0000e-05 eta: 23:27:58 time: 12.9855 data_time: 9.5256 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0732 loss: 0.2313 2022/08/26 15:37:31 - mmengine - INFO - Epoch(train) [246][10/63] lr: 1.0000e-05 eta: 23:28:47 time: 11.6736 data_time: 9.5443 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0726 loss: 0.2312 2022/08/26 15:37:47 - mmengine - INFO - Epoch(train) [246][15/63] lr: 1.0000e-05 eta: 23:28:47 time: 2.3806 data_time: 0.1451 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0684 loss: 0.2174 2022/08/26 15:38:07 - mmengine - INFO - Epoch(train) [246][20/63] lr: 1.0000e-05 eta: 23:28:06 time: 3.5498 data_time: 0.1652 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0654 loss: 0.2053 2022/08/26 15:38:12 - mmengine - INFO - Epoch(train) [246][25/63] lr: 1.0000e-05 eta: 23:28:06 time: 2.5364 data_time: 0.1602 memory: 28971 loss_text: 0.1209 loss_kernel: 0.0588 loss: 0.1797 2022/08/26 15:38:29 - mmengine - INFO - Epoch(train) [246][30/63] lr: 1.0000e-05 eta: 23:27:06 time: 2.2182 data_time: 0.1852 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0642 loss: 0.1982 2022/08/26 15:38:40 - mmengine - INFO - Epoch(train) [246][35/63] lr: 1.0000e-05 eta: 23:27:06 time: 2.6851 data_time: 0.1514 memory: 28971 loss_text: 0.1724 loss_kernel: 0.0790 loss: 0.2514 2022/08/26 15:38:49 - mmengine - INFO - Epoch(train) [246][40/63] lr: 1.0000e-05 eta: 23:26:02 time: 2.0127 data_time: 0.2136 memory: 28971 loss_text: 0.1571 loss_kernel: 0.0720 loss: 0.2291 2022/08/26 15:39:04 - mmengine - INFO - Epoch(train) [246][45/63] lr: 1.0000e-05 eta: 23:26:02 time: 2.4465 data_time: 0.1992 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0607 loss: 0.1898 2022/08/26 15:39:09 - mmengine - INFO - Epoch(train) [246][50/63] lr: 1.0000e-05 eta: 23:24:59 time: 2.0135 data_time: 0.1374 memory: 28971 loss_text: 0.1075 loss_kernel: 0.0518 loss: 0.1592 2022/08/26 15:39:27 - mmengine - INFO - Epoch(train) [246][55/63] lr: 1.0000e-05 eta: 23:24:59 time: 2.2554 data_time: 0.1113 memory: 28971 loss_text: 0.1100 loss_kernel: 0.0537 loss: 0.1637 2022/08/26 15:39:39 - mmengine - INFO - Epoch(train) [246][60/63] lr: 1.0000e-05 eta: 23:24:10 time: 3.0102 data_time: 0.2592 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0645 loss: 0.2037 2022/08/26 15:39:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:41:29 - mmengine - INFO - Epoch(train) [247][5/63] lr: 1.0000e-05 eta: 23:24:10 time: 11.0710 data_time: 9.3589 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0627 loss: 0.1985 2022/08/26 15:41:34 - mmengine - INFO - Epoch(train) [247][10/63] lr: 1.0000e-05 eta: 23:24:50 time: 11.1295 data_time: 9.3893 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0624 loss: 0.1975 2022/08/26 15:41:48 - mmengine - INFO - Epoch(train) [247][15/63] lr: 1.0000e-05 eta: 23:24:50 time: 1.8979 data_time: 0.1056 memory: 28971 loss_text: 0.1130 loss_kernel: 0.0525 loss: 0.1655 2022/08/26 15:41:52 - mmengine - INFO - Epoch(train) [247][20/63] lr: 1.0000e-05 eta: 23:23:45 time: 1.8408 data_time: 0.1018 memory: 28971 loss_text: 0.1182 loss_kernel: 0.0542 loss: 0.1724 2022/08/26 15:42:03 - mmengine - INFO - Epoch(train) [247][25/63] lr: 1.0000e-05 eta: 23:23:45 time: 1.5735 data_time: 0.1395 memory: 28971 loss_text: 0.1366 loss_kernel: 0.0638 loss: 0.2005 2022/08/26 15:42:08 - mmengine - INFO - Epoch(train) [247][30/63] lr: 1.0000e-05 eta: 23:22:35 time: 1.5687 data_time: 0.1282 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0651 loss: 0.2049 2022/08/26 15:42:22 - mmengine - INFO - Epoch(train) [247][35/63] lr: 1.0000e-05 eta: 23:22:35 time: 1.9099 data_time: 0.0871 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0598 loss: 0.1897 2022/08/26 15:42:27 - mmengine - INFO - Epoch(train) [247][40/63] lr: 1.0000e-05 eta: 23:21:31 time: 1.9203 data_time: 0.0974 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0569 loss: 0.1798 2022/08/26 15:42:42 - mmengine - INFO - Epoch(train) [247][45/63] lr: 1.0000e-05 eta: 23:21:31 time: 1.9151 data_time: 0.0853 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0675 loss: 0.2112 2022/08/26 15:42:46 - mmengine - INFO - Epoch(train) [247][50/63] lr: 1.0000e-05 eta: 23:20:27 time: 1.9394 data_time: 0.0979 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0605 loss: 0.1863 2022/08/26 15:42:59 - mmengine - INFO - Epoch(train) [247][55/63] lr: 1.0000e-05 eta: 23:20:27 time: 1.7668 data_time: 0.1467 memory: 28971 loss_text: 0.1109 loss_kernel: 0.0532 loss: 0.1641 2022/08/26 15:43:04 - mmengine - INFO - Epoch(train) [247][60/63] lr: 1.0000e-05 eta: 23:19:21 time: 1.7997 data_time: 0.1791 memory: 28971 loss_text: 0.1540 loss_kernel: 0.0711 loss: 0.2252 2022/08/26 15:43:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:44:54 - mmengine - INFO - Epoch(train) [248][5/63] lr: 1.0000e-05 eta: 23:19:21 time: 11.1425 data_time: 9.1713 memory: 28971 loss_text: 0.1513 loss_kernel: 0.0699 loss: 0.2212 2022/08/26 15:45:00 - mmengine - INFO - Epoch(train) [248][10/63] lr: 1.0000e-05 eta: 23:20:00 time: 11.0739 data_time: 9.2130 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0617 loss: 0.1907 2022/08/26 15:45:19 - mmengine - INFO - Epoch(train) [248][15/63] lr: 1.0000e-05 eta: 23:20:00 time: 2.4902 data_time: 0.0977 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0589 loss: 0.1825 2022/08/26 15:45:24 - mmengine - INFO - Epoch(train) [248][20/63] lr: 1.0000e-05 eta: 23:19:02 time: 2.3744 data_time: 0.1108 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0648 loss: 0.2026 2022/08/26 15:45:43 - mmengine - INFO - Epoch(train) [248][25/63] lr: 1.0000e-05 eta: 23:19:02 time: 2.3659 data_time: 0.1508 memory: 28971 loss_text: 0.1651 loss_kernel: 0.0772 loss: 0.2422 2022/08/26 15:45:47 - mmengine - INFO - Epoch(train) [248][30/63] lr: 1.0000e-05 eta: 23:18:04 time: 2.3445 data_time: 0.1149 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0746 loss: 0.2341 2022/08/26 15:46:04 - mmengine - INFO - Epoch(train) [248][35/63] lr: 1.0000e-05 eta: 23:18:04 time: 2.0932 data_time: 0.0808 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0647 loss: 0.2016 2022/08/26 15:46:08 - mmengine - INFO - Epoch(train) [248][40/63] lr: 1.0000e-05 eta: 23:17:02 time: 2.1072 data_time: 0.0654 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0618 loss: 0.1910 2022/08/26 15:46:22 - mmengine - INFO - Epoch(train) [248][45/63] lr: 1.0000e-05 eta: 23:17:02 time: 1.8779 data_time: 0.0696 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0567 loss: 0.1741 2022/08/26 15:46:28 - mmengine - INFO - Epoch(train) [248][50/63] lr: 1.0000e-05 eta: 23:15:59 time: 1.9804 data_time: 0.1153 memory: 28971 loss_text: 0.1099 loss_kernel: 0.0529 loss: 0.1628 2022/08/26 15:46:33 - mmengine - INFO - Epoch(train) [248][55/63] lr: 1.0000e-05 eta: 23:15:59 time: 1.0755 data_time: 0.0767 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0663 loss: 0.2084 2022/08/26 15:46:40 - mmengine - INFO - Epoch(train) [248][60/63] lr: 1.0000e-05 eta: 23:14:44 time: 1.1391 data_time: 0.1246 memory: 28971 loss_text: 0.1615 loss_kernel: 0.0753 loss: 0.2369 2022/08/26 15:46:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:48:16 - mmengine - INFO - Epoch(train) [249][5/63] lr: 1.0000e-05 eta: 23:14:44 time: 9.8427 data_time: 8.4545 memory: 28971 loss_text: 0.1095 loss_kernel: 0.0518 loss: 0.1613 2022/08/26 15:48:20 - mmengine - INFO - Epoch(train) [249][10/63] lr: 1.0000e-05 eta: 23:15:04 time: 9.7732 data_time: 8.4605 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0622 loss: 0.1985 2022/08/26 15:48:28 - mmengine - INFO - Epoch(train) [249][15/63] lr: 1.0000e-05 eta: 23:15:04 time: 1.2506 data_time: 0.1201 memory: 28971 loss_text: 0.1125 loss_kernel: 0.0527 loss: 0.1652 2022/08/26 15:48:33 - mmengine - INFO - Epoch(train) [249][20/63] lr: 1.0000e-05 eta: 23:13:50 time: 1.2574 data_time: 0.1178 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0600 loss: 0.1873 2022/08/26 15:48:38 - mmengine - INFO - Epoch(train) [249][25/63] lr: 1.0000e-05 eta: 23:13:50 time: 0.9527 data_time: 0.0464 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0626 loss: 0.1969 2022/08/26 15:48:43 - mmengine - INFO - Epoch(train) [249][30/63] lr: 1.0000e-05 eta: 23:12:33 time: 0.9766 data_time: 0.0269 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0583 loss: 0.1802 2022/08/26 15:48:54 - mmengine - INFO - Epoch(train) [249][35/63] lr: 1.0000e-05 eta: 23:12:33 time: 1.6293 data_time: 0.0509 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0658 loss: 0.2037 2022/08/26 15:48:58 - mmengine - INFO - Epoch(train) [249][40/63] lr: 1.0000e-05 eta: 23:11:24 time: 1.5799 data_time: 0.0672 memory: 28971 loss_text: 0.1509 loss_kernel: 0.0705 loss: 0.2214 2022/08/26 15:49:07 - mmengine - INFO - Epoch(train) [249][45/63] lr: 1.0000e-05 eta: 23:11:24 time: 1.2612 data_time: 0.0377 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0618 loss: 0.1960 2022/08/26 15:49:13 - mmengine - INFO - Epoch(train) [249][50/63] lr: 1.0000e-05 eta: 23:10:15 time: 1.5080 data_time: 0.0661 memory: 28971 loss_text: 0.1055 loss_kernel: 0.0494 loss: 0.1549 2022/08/26 15:49:18 - mmengine - INFO - Epoch(train) [249][55/63] lr: 1.0000e-05 eta: 23:10:15 time: 1.1757 data_time: 0.0722 memory: 28971 loss_text: 0.1051 loss_kernel: 0.0503 loss: 0.1554 2022/08/26 15:49:29 - mmengine - INFO - Epoch(train) [249][60/63] lr: 1.0000e-05 eta: 23:09:05 time: 1.4963 data_time: 0.0695 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0553 loss: 0.1697 2022/08/26 15:49:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:51:13 - mmengine - INFO - Epoch(train) [250][5/63] lr: 1.0000e-05 eta: 23:09:05 time: 11.0503 data_time: 8.8976 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0618 loss: 0.1947 2022/08/26 15:51:19 - mmengine - INFO - Epoch(train) [250][10/63] lr: 1.0000e-05 eta: 23:09:39 time: 10.7939 data_time: 8.9160 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0539 loss: 0.1674 2022/08/26 15:51:34 - mmengine - INFO - Epoch(train) [250][15/63] lr: 1.0000e-05 eta: 23:09:39 time: 2.0310 data_time: 0.0819 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0575 loss: 0.1810 2022/08/26 15:51:39 - mmengine - INFO - Epoch(train) [250][20/63] lr: 1.0000e-05 eta: 23:08:35 time: 1.9385 data_time: 0.0914 memory: 28971 loss_text: 0.1132 loss_kernel: 0.0527 loss: 0.1659 2022/08/26 15:51:44 - mmengine - INFO - Epoch(train) [250][25/63] lr: 1.0000e-05 eta: 23:08:35 time: 0.9976 data_time: 0.0702 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0580 loss: 0.1787 2022/08/26 15:52:12 - mmengine - INFO - Epoch(train) [250][30/63] lr: 1.0000e-05 eta: 23:07:51 time: 3.3288 data_time: 0.2796 memory: 28971 loss_text: 0.1540 loss_kernel: 0.0723 loss: 0.2263 2022/08/26 15:52:28 - mmengine - INFO - Epoch(train) [250][35/63] lr: 1.0000e-05 eta: 23:07:51 time: 4.4142 data_time: 0.4022 memory: 28971 loss_text: 0.1362 loss_kernel: 0.0637 loss: 0.1999 2022/08/26 15:52:40 - mmengine - INFO - Epoch(train) [250][40/63] lr: 1.0000e-05 eta: 23:06:59 time: 2.7387 data_time: 0.1650 memory: 28971 loss_text: 0.1085 loss_kernel: 0.0516 loss: 0.1601 2022/08/26 15:52:49 - mmengine - INFO - Epoch(train) [250][45/63] lr: 1.0000e-05 eta: 23:06:59 time: 2.1474 data_time: 0.2505 memory: 28971 loss_text: 0.0984 loss_kernel: 0.0479 loss: 0.1463 2022/08/26 15:52:54 - mmengine - INFO - Epoch(train) [250][50/63] lr: 1.0000e-05 eta: 23:05:49 time: 1.4464 data_time: 0.2369 memory: 28971 loss_text: 0.1205 loss_kernel: 0.0586 loss: 0.1791 2022/08/26 15:53:19 - mmengine - INFO - Epoch(train) [250][55/63] lr: 1.0000e-05 eta: 23:05:49 time: 2.9230 data_time: 0.1120 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0705 loss: 0.2193 2022/08/26 15:53:24 - mmengine - INFO - Epoch(train) [250][60/63] lr: 1.0000e-05 eta: 23:05:01 time: 3.0168 data_time: 0.2372 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0762 loss: 0.2403 2022/08/26 15:53:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:55:35 - mmengine - INFO - Epoch(train) [251][5/63] lr: 1.0000e-05 eta: 23:05:01 time: 13.2705 data_time: 9.6576 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0695 loss: 0.2183 2022/08/26 15:55:51 - mmengine - INFO - Epoch(train) [251][10/63] lr: 1.0000e-05 eta: 23:05:55 time: 12.2945 data_time: 9.6533 memory: 28971 loss_text: 0.1197 loss_kernel: 0.0566 loss: 0.1762 2022/08/26 15:55:59 - mmengine - INFO - Epoch(train) [251][15/63] lr: 1.0000e-05 eta: 23:05:55 time: 2.4071 data_time: 0.2182 memory: 28971 loss_text: 0.1288 loss_kernel: 0.0597 loss: 0.1885 2022/08/26 15:56:04 - mmengine - INFO - Epoch(train) [251][20/63] lr: 1.0000e-05 eta: 23:04:44 time: 1.3752 data_time: 0.1903 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0629 loss: 0.1997 2022/08/26 15:56:16 - mmengine - INFO - Epoch(train) [251][25/63] lr: 1.0000e-05 eta: 23:04:44 time: 1.5866 data_time: 0.0594 memory: 28971 loss_text: 0.1487 loss_kernel: 0.0688 loss: 0.2175 2022/08/26 15:56:21 - mmengine - INFO - Epoch(train) [251][30/63] lr: 1.0000e-05 eta: 23:03:38 time: 1.7185 data_time: 0.0962 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0591 loss: 0.1817 2022/08/26 15:56:38 - mmengine - INFO - Epoch(train) [251][35/63] lr: 1.0000e-05 eta: 23:03:38 time: 2.2792 data_time: 0.1657 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0567 loss: 0.1744 2022/08/26 15:56:46 - mmengine - INFO - Epoch(train) [251][40/63] lr: 1.0000e-05 eta: 23:02:42 time: 2.4628 data_time: 0.1392 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0637 loss: 0.1976 2022/08/26 15:57:05 - mmengine - INFO - Epoch(train) [251][45/63] lr: 1.0000e-05 eta: 23:02:42 time: 2.6597 data_time: 0.2159 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0555 loss: 0.1699 2022/08/26 15:57:23 - mmengine - INFO - Epoch(train) [251][50/63] lr: 1.0000e-05 eta: 23:02:03 time: 3.7168 data_time: 0.2425 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0547 loss: 0.1697 2022/08/26 15:57:34 - mmengine - INFO - Epoch(train) [251][55/63] lr: 1.0000e-05 eta: 23:02:03 time: 2.9103 data_time: 0.2198 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0604 loss: 0.1900 2022/08/26 15:57:50 - mmengine - INFO - Epoch(train) [251][60/63] lr: 1.0000e-05 eta: 23:01:10 time: 2.6797 data_time: 0.1922 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0680 loss: 0.2149 2022/08/26 15:57:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 15:59:40 - mmengine - INFO - Epoch(train) [252][5/63] lr: 1.0000e-05 eta: 23:01:10 time: 12.2830 data_time: 9.2927 memory: 28971 loss_text: 0.1686 loss_kernel: 0.0770 loss: 0.2456 2022/08/26 15:59:45 - mmengine - INFO - Epoch(train) [252][10/63] lr: 1.0000e-05 eta: 23:01:46 time: 11.0251 data_time: 9.1958 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0664 loss: 0.2078 2022/08/26 16:00:00 - mmengine - INFO - Epoch(train) [252][15/63] lr: 1.0000e-05 eta: 23:01:46 time: 2.0117 data_time: 0.1080 memory: 28971 loss_text: 0.1105 loss_kernel: 0.0523 loss: 0.1629 2022/08/26 16:00:05 - mmengine - INFO - Epoch(train) [252][20/63] lr: 1.0000e-05 eta: 23:00:43 time: 1.9492 data_time: 0.1018 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0633 loss: 0.2012 2022/08/26 16:00:16 - mmengine - INFO - Epoch(train) [252][25/63] lr: 1.0000e-05 eta: 23:00:43 time: 1.6167 data_time: 0.0966 memory: 28971 loss_text: 0.1669 loss_kernel: 0.0776 loss: 0.2445 2022/08/26 16:00:21 - mmengine - INFO - Epoch(train) [252][30/63] lr: 1.0000e-05 eta: 22:59:36 time: 1.6642 data_time: 0.1081 memory: 28971 loss_text: 0.1671 loss_kernel: 0.0766 loss: 0.2437 2022/08/26 16:00:35 - mmengine - INFO - Epoch(train) [252][35/63] lr: 1.0000e-05 eta: 22:59:36 time: 1.8486 data_time: 0.1225 memory: 28971 loss_text: 0.1362 loss_kernel: 0.0632 loss: 0.1994 2022/08/26 16:00:40 - mmengine - INFO - Epoch(train) [252][40/63] lr: 1.0000e-05 eta: 22:58:31 time: 1.7841 data_time: 0.0945 memory: 28971 loss_text: 0.1185 loss_kernel: 0.0566 loss: 0.1751 2022/08/26 16:00:54 - mmengine - INFO - Epoch(train) [252][45/63] lr: 1.0000e-05 eta: 22:58:31 time: 1.9497 data_time: 0.1579 memory: 28971 loss_text: 0.1606 loss_kernel: 0.0733 loss: 0.2339 2022/08/26 16:00:59 - mmengine - INFO - Epoch(train) [252][50/63] lr: 1.0000e-05 eta: 22:57:28 time: 1.9344 data_time: 0.1577 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0704 loss: 0.2214 2022/08/26 16:01:15 - mmengine - INFO - Epoch(train) [252][55/63] lr: 1.0000e-05 eta: 22:57:28 time: 2.0439 data_time: 0.1067 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0679 loss: 0.2132 2022/08/26 16:01:19 - mmengine - INFO - Epoch(train) [252][60/63] lr: 1.0000e-05 eta: 22:56:27 time: 2.0640 data_time: 0.1485 memory: 28971 loss_text: 0.1699 loss_kernel: 0.0777 loss: 0.2476 2022/08/26 16:01:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:03:09 - mmengine - INFO - Epoch(train) [253][5/63] lr: 1.0000e-05 eta: 22:56:27 time: 11.1471 data_time: 9.3446 memory: 28971 loss_text: 0.1086 loss_kernel: 0.0518 loss: 0.1604 2022/08/26 16:03:15 - mmengine - INFO - Epoch(train) [253][10/63] lr: 1.0000e-05 eta: 22:57:06 time: 11.2512 data_time: 9.3871 memory: 28971 loss_text: 0.1083 loss_kernel: 0.0515 loss: 0.1597 2022/08/26 16:03:27 - mmengine - INFO - Epoch(train) [253][15/63] lr: 1.0000e-05 eta: 22:57:06 time: 1.7270 data_time: 0.1078 memory: 28971 loss_text: 0.1171 loss_kernel: 0.0553 loss: 0.1724 2022/08/26 16:03:31 - mmengine - INFO - Epoch(train) [253][20/63] lr: 1.0000e-05 eta: 22:55:58 time: 1.6161 data_time: 0.1006 memory: 28971 loss_text: 0.1037 loss_kernel: 0.0501 loss: 0.1538 2022/08/26 16:03:47 - mmengine - INFO - Epoch(train) [253][25/63] lr: 1.0000e-05 eta: 22:55:58 time: 1.9872 data_time: 0.0957 memory: 28971 loss_text: 0.1140 loss_kernel: 0.0534 loss: 0.1674 2022/08/26 16:03:51 - mmengine - INFO - Epoch(train) [253][30/63] lr: 1.0000e-05 eta: 22:54:56 time: 1.9747 data_time: 0.0854 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0585 loss: 0.1863 2022/08/26 16:04:05 - mmengine - INFO - Epoch(train) [253][35/63] lr: 1.0000e-05 eta: 22:54:56 time: 1.8545 data_time: 0.1107 memory: 28971 loss_text: 0.1087 loss_kernel: 0.0515 loss: 0.1602 2022/08/26 16:04:10 - mmengine - INFO - Epoch(train) [253][40/63] lr: 1.0000e-05 eta: 22:53:52 time: 1.8733 data_time: 0.1129 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0562 loss: 0.1749 2022/08/26 16:04:23 - mmengine - INFO - Epoch(train) [253][45/63] lr: 1.0000e-05 eta: 22:53:52 time: 1.7668 data_time: 0.0740 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0650 loss: 0.2057 2022/08/26 16:04:28 - mmengine - INFO - Epoch(train) [253][50/63] lr: 1.0000e-05 eta: 22:52:47 time: 1.7804 data_time: 0.0978 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0686 loss: 0.2175 2022/08/26 16:04:32 - mmengine - INFO - Epoch(train) [253][55/63] lr: 1.0000e-05 eta: 22:52:47 time: 0.9109 data_time: 0.0724 memory: 28971 loss_text: 0.1664 loss_kernel: 0.0773 loss: 0.2436 2022/08/26 16:04:52 - mmengine - INFO - Epoch(train) [253][60/63] lr: 1.0000e-05 eta: 22:51:51 time: 2.4409 data_time: 0.1261 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0736 loss: 0.2316 2022/08/26 16:04:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:06:50 - mmengine - INFO - Epoch(train) [254][5/63] lr: 1.0000e-05 eta: 22:51:51 time: 11.8824 data_time: 9.7315 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0659 loss: 0.2041 2022/08/26 16:06:59 - mmengine - INFO - Epoch(train) [254][10/63] lr: 1.0000e-05 eta: 22:52:44 time: 12.2886 data_time: 9.7051 memory: 28971 loss_text: 0.1454 loss_kernel: 0.0682 loss: 0.2137 2022/08/26 16:07:14 - mmengine - INFO - Epoch(train) [254][15/63] lr: 1.0000e-05 eta: 22:52:44 time: 2.4473 data_time: 0.1616 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0683 loss: 0.2151 2022/08/26 16:07:31 - mmengine - INFO - Epoch(train) [254][20/63] lr: 1.0000e-05 eta: 22:51:59 time: 3.2837 data_time: 0.3315 memory: 28971 loss_text: 0.1290 loss_kernel: 0.0599 loss: 0.1889 2022/08/26 16:07:36 - mmengine - INFO - Epoch(train) [254][25/63] lr: 1.0000e-05 eta: 22:51:59 time: 2.2037 data_time: 0.2629 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0608 loss: 0.1916 2022/08/26 16:07:52 - mmengine - INFO - Epoch(train) [254][30/63] lr: 1.0000e-05 eta: 22:50:59 time: 2.0753 data_time: 0.1481 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0678 loss: 0.2145 2022/08/26 16:07:57 - mmengine - INFO - Epoch(train) [254][35/63] lr: 1.0000e-05 eta: 22:50:59 time: 2.1276 data_time: 0.1294 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0652 loss: 0.2070 2022/08/26 16:08:13 - mmengine - INFO - Epoch(train) [254][40/63] lr: 1.0000e-05 eta: 22:49:59 time: 2.1260 data_time: 0.1236 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0579 loss: 0.1785 2022/08/26 16:08:20 - mmengine - INFO - Epoch(train) [254][45/63] lr: 1.0000e-05 eta: 22:49:59 time: 2.1974 data_time: 0.1336 memory: 28971 loss_text: 0.1172 loss_kernel: 0.0570 loss: 0.1742 2022/08/26 16:08:35 - mmengine - INFO - Epoch(train) [254][50/63] lr: 1.0000e-05 eta: 22:48:59 time: 2.1448 data_time: 0.1573 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0570 loss: 0.1777 2022/08/26 16:08:56 - mmengine - INFO - Epoch(train) [254][55/63] lr: 1.0000e-05 eta: 22:48:59 time: 3.6485 data_time: 0.1358 memory: 28971 loss_text: 0.1127 loss_kernel: 0.0535 loss: 0.1662 2022/08/26 16:09:03 - mmengine - INFO - Epoch(train) [254][60/63] lr: 1.0000e-05 eta: 22:48:08 time: 2.7819 data_time: 0.2686 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0570 loss: 0.1781 2022/08/26 16:09:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:09:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:11:10 - mmengine - INFO - Epoch(train) [255][5/63] lr: 1.0000e-05 eta: 22:48:08 time: 12.8725 data_time: 9.3651 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0544 loss: 0.1696 2022/08/26 16:11:16 - mmengine - INFO - Epoch(train) [255][10/63] lr: 1.0000e-05 eta: 22:48:45 time: 11.2241 data_time: 9.4090 memory: 28971 loss_text: 0.1736 loss_kernel: 0.0784 loss: 0.2521 2022/08/26 16:11:31 - mmengine - INFO - Epoch(train) [255][15/63] lr: 1.0000e-05 eta: 22:48:45 time: 2.0951 data_time: 0.1028 memory: 28971 loss_text: 0.1929 loss_kernel: 0.0864 loss: 0.2793 2022/08/26 16:11:37 - mmengine - INFO - Epoch(train) [255][20/63] lr: 1.0000e-05 eta: 22:47:44 time: 2.0855 data_time: 0.0980 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0674 loss: 0.2131 2022/08/26 16:11:54 - mmengine - INFO - Epoch(train) [255][25/63] lr: 1.0000e-05 eta: 22:47:44 time: 2.2063 data_time: 0.1697 memory: 28971 loss_text: 0.1528 loss_kernel: 0.0707 loss: 0.2235 2022/08/26 16:11:58 - mmengine - INFO - Epoch(train) [255][30/63] lr: 1.0000e-05 eta: 22:46:44 time: 2.1421 data_time: 0.1540 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0681 loss: 0.2147 2022/08/26 16:12:17 - mmengine - INFO - Epoch(train) [255][35/63] lr: 1.0000e-05 eta: 22:46:44 time: 2.3011 data_time: 0.0869 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0575 loss: 0.1804 2022/08/26 16:12:22 - mmengine - INFO - Epoch(train) [255][40/63] lr: 1.0000e-05 eta: 22:45:48 time: 2.3731 data_time: 0.1201 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0599 loss: 0.1883 2022/08/26 16:12:38 - mmengine - INFO - Epoch(train) [255][45/63] lr: 1.0000e-05 eta: 22:45:48 time: 2.1276 data_time: 0.1548 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0617 loss: 0.1929 2022/08/26 16:12:43 - mmengine - INFO - Epoch(train) [255][50/63] lr: 1.0000e-05 eta: 22:44:48 time: 2.1352 data_time: 0.1837 memory: 28971 loss_text: 0.1170 loss_kernel: 0.0564 loss: 0.1734 2022/08/26 16:13:04 - mmengine - INFO - Epoch(train) [255][55/63] lr: 1.0000e-05 eta: 22:44:48 time: 2.6224 data_time: 0.2044 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0631 loss: 0.1958 2022/08/26 16:13:24 - mmengine - INFO - Epoch(train) [255][60/63] lr: 1.0000e-05 eta: 22:44:15 time: 4.0957 data_time: 0.1715 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0654 loss: 0.2067 2022/08/26 16:13:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:15:20 - mmengine - INFO - Epoch(train) [256][5/63] lr: 1.0000e-05 eta: 22:44:15 time: 11.7522 data_time: 9.7740 memory: 28971 loss_text: 0.1197 loss_kernel: 0.0561 loss: 0.1758 2022/08/26 16:15:41 - mmengine - INFO - Epoch(train) [256][10/63] lr: 1.0000e-05 eta: 22:45:18 time: 13.1832 data_time: 9.7711 memory: 28971 loss_text: 0.1362 loss_kernel: 0.0629 loss: 0.1991 2022/08/26 16:15:46 - mmengine - INFO - Epoch(train) [256][15/63] lr: 1.0000e-05 eta: 22:45:18 time: 2.6829 data_time: 0.2305 memory: 28971 loss_text: 0.1484 loss_kernel: 0.0684 loss: 0.2168 2022/08/26 16:16:08 - mmengine - INFO - Epoch(train) [256][20/63] lr: 1.0000e-05 eta: 22:44:26 time: 2.7320 data_time: 0.2321 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0611 loss: 0.1931 2022/08/26 16:16:13 - mmengine - INFO - Epoch(train) [256][25/63] lr: 1.0000e-05 eta: 22:44:26 time: 2.6419 data_time: 0.2079 memory: 28971 loss_text: 0.1362 loss_kernel: 0.0632 loss: 0.1994 2022/08/26 16:16:37 - mmengine - INFO - Epoch(train) [256][30/63] lr: 1.0000e-05 eta: 22:43:36 time: 2.8253 data_time: 0.1695 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0595 loss: 0.1875 2022/08/26 16:17:00 - mmengine - INFO - Epoch(train) [256][35/63] lr: 1.0000e-05 eta: 22:43:36 time: 4.7124 data_time: 0.2017 memory: 28971 loss_text: 0.0987 loss_kernel: 0.0464 loss: 0.1451 2022/08/26 16:17:05 - mmengine - INFO - Epoch(train) [256][40/63] lr: 1.0000e-05 eta: 22:42:46 time: 2.8676 data_time: 0.1463 memory: 28971 loss_text: 0.1254 loss_kernel: 0.0585 loss: 0.1840 2022/08/26 16:17:25 - mmengine - INFO - Epoch(train) [256][45/63] lr: 1.0000e-05 eta: 22:42:46 time: 2.5310 data_time: 0.1499 memory: 28971 loss_text: 0.1440 loss_kernel: 0.0668 loss: 0.2108 2022/08/26 16:17:30 - mmengine - INFO - Epoch(train) [256][50/63] lr: 1.0000e-05 eta: 22:41:51 time: 2.5061 data_time: 0.1515 memory: 28971 loss_text: 0.1427 loss_kernel: 0.0652 loss: 0.2080 2022/08/26 16:17:55 - mmengine - INFO - Epoch(train) [256][55/63] lr: 1.0000e-05 eta: 22:41:51 time: 2.9146 data_time: 0.1943 memory: 28971 loss_text: 0.1104 loss_kernel: 0.0510 loss: 0.1614 2022/08/26 16:18:19 - mmengine - INFO - Epoch(train) [256][60/63] lr: 1.0000e-05 eta: 22:41:29 time: 4.9013 data_time: 0.2362 memory: 28971 loss_text: 0.1079 loss_kernel: 0.0512 loss: 0.1591 2022/08/26 16:18:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:20:37 - mmengine - INFO - Epoch(train) [257][5/63] lr: 1.0000e-05 eta: 22:41:29 time: 15.8243 data_time: 9.7198 memory: 28971 loss_text: 0.1782 loss_kernel: 0.0804 loss: 0.2586 2022/08/26 16:20:43 - mmengine - INFO - Epoch(train) [257][10/63] lr: 1.0000e-05 eta: 22:42:07 time: 11.3918 data_time: 9.5589 memory: 28971 loss_text: 0.1454 loss_kernel: 0.0661 loss: 0.2115 2022/08/26 16:20:58 - mmengine - INFO - Epoch(train) [257][15/63] lr: 1.0000e-05 eta: 22:42:07 time: 2.0969 data_time: 0.0874 memory: 28971 loss_text: 0.1047 loss_kernel: 0.0503 loss: 0.1550 2022/08/26 16:21:07 - mmengine - INFO - Epoch(train) [257][20/63] lr: 1.0000e-05 eta: 22:41:11 time: 2.4142 data_time: 0.1225 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0565 loss: 0.1757 2022/08/26 16:21:21 - mmengine - INFO - Epoch(train) [257][25/63] lr: 1.0000e-05 eta: 22:41:11 time: 2.2813 data_time: 0.1310 memory: 28971 loss_text: 0.1556 loss_kernel: 0.0708 loss: 0.2264 2022/08/26 16:21:37 - mmengine - INFO - Epoch(train) [257][30/63] lr: 1.0000e-05 eta: 22:40:24 time: 3.0377 data_time: 0.1717 memory: 28971 loss_text: 0.1593 loss_kernel: 0.0727 loss: 0.2319 2022/08/26 16:21:59 - mmengine - INFO - Epoch(train) [257][35/63] lr: 1.0000e-05 eta: 22:40:24 time: 3.8681 data_time: 0.3966 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0664 loss: 0.2093 2022/08/26 16:22:04 - mmengine - INFO - Epoch(train) [257][40/63] lr: 1.0000e-05 eta: 22:39:31 time: 2.6748 data_time: 0.3095 memory: 28971 loss_text: 0.1479 loss_kernel: 0.0696 loss: 0.2175 2022/08/26 16:22:22 - mmengine - INFO - Epoch(train) [257][45/63] lr: 1.0000e-05 eta: 22:39:31 time: 2.2772 data_time: 0.0639 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0743 loss: 0.2308 2022/08/26 16:22:27 - mmengine - INFO - Epoch(train) [257][50/63] lr: 1.0000e-05 eta: 22:38:35 time: 2.3635 data_time: 0.1168 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0613 loss: 0.1894 2022/08/26 16:22:47 - mmengine - INFO - Epoch(train) [257][55/63] lr: 1.0000e-05 eta: 22:38:35 time: 2.4173 data_time: 0.1151 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0561 loss: 0.1744 2022/08/26 16:22:52 - mmengine - INFO - Epoch(train) [257][60/63] lr: 1.0000e-05 eta: 22:37:39 time: 2.4607 data_time: 0.1981 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0685 loss: 0.2169 2022/08/26 16:23:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:25:04 - mmengine - INFO - Epoch(train) [258][5/63] lr: 1.0000e-05 eta: 22:37:39 time: 13.2717 data_time: 9.6658 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0580 loss: 0.1810 2022/08/26 16:25:09 - mmengine - INFO - Epoch(train) [258][10/63] lr: 1.0000e-05 eta: 22:38:20 time: 11.6235 data_time: 9.6558 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0608 loss: 0.1913 2022/08/26 16:25:29 - mmengine - INFO - Epoch(train) [258][15/63] lr: 1.0000e-05 eta: 22:38:20 time: 2.5564 data_time: 0.1220 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0611 loss: 0.1903 2022/08/26 16:25:33 - mmengine - INFO - Epoch(train) [258][20/63] lr: 1.0000e-05 eta: 22:37:25 time: 2.4709 data_time: 0.1251 memory: 28971 loss_text: 0.1126 loss_kernel: 0.0536 loss: 0.1661 2022/08/26 16:25:53 - mmengine - INFO - Epoch(train) [258][25/63] lr: 1.0000e-05 eta: 22:37:25 time: 2.4116 data_time: 0.1652 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0609 loss: 0.1909 2022/08/26 16:25:58 - mmengine - INFO - Epoch(train) [258][30/63] lr: 1.0000e-05 eta: 22:36:29 time: 2.4309 data_time: 0.1811 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0634 loss: 0.1991 2022/08/26 16:26:19 - mmengine - INFO - Epoch(train) [258][35/63] lr: 1.0000e-05 eta: 22:36:29 time: 2.5377 data_time: 0.1621 memory: 28971 loss_text: 0.1384 loss_kernel: 0.0649 loss: 0.2034 2022/08/26 16:26:24 - mmengine - INFO - Epoch(train) [258][40/63] lr: 1.0000e-05 eta: 22:35:36 time: 2.6231 data_time: 0.1352 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0594 loss: 0.1837 2022/08/26 16:26:43 - mmengine - INFO - Epoch(train) [258][45/63] lr: 1.0000e-05 eta: 22:35:36 time: 2.4407 data_time: 0.1732 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0548 loss: 0.1707 2022/08/26 16:26:48 - mmengine - INFO - Epoch(train) [258][50/63] lr: 1.0000e-05 eta: 22:34:41 time: 2.4134 data_time: 0.1762 memory: 28971 loss_text: 0.1466 loss_kernel: 0.0684 loss: 0.2151 2022/08/26 16:27:07 - mmengine - INFO - Epoch(train) [258][55/63] lr: 1.0000e-05 eta: 22:34:41 time: 2.4122 data_time: 0.1091 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0639 loss: 0.1979 2022/08/26 16:27:28 - mmengine - INFO - Epoch(train) [258][60/63] lr: 1.0000e-05 eta: 22:34:05 time: 3.9097 data_time: 0.1501 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0601 loss: 0.1878 2022/08/26 16:27:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:29:30 - mmengine - INFO - Epoch(train) [259][5/63] lr: 1.0000e-05 eta: 22:34:05 time: 13.9137 data_time: 9.8967 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0735 loss: 0.2353 2022/08/26 16:29:34 - mmengine - INFO - Epoch(train) [259][10/63] lr: 1.0000e-05 eta: 22:34:54 time: 12.2910 data_time: 9.8458 memory: 28971 loss_text: 0.1573 loss_kernel: 0.0720 loss: 0.2293 2022/08/26 16:29:52 - mmengine - INFO - Epoch(train) [259][15/63] lr: 1.0000e-05 eta: 22:34:54 time: 2.1792 data_time: 0.1381 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0629 loss: 0.1960 2022/08/26 16:30:12 - mmengine - INFO - Epoch(train) [259][20/63] lr: 1.0000e-05 eta: 22:34:15 time: 3.7279 data_time: 0.3347 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0683 loss: 0.2157 2022/08/26 16:30:17 - mmengine - INFO - Epoch(train) [259][25/63] lr: 1.0000e-05 eta: 22:34:15 time: 2.5347 data_time: 0.3110 memory: 28971 loss_text: 0.1568 loss_kernel: 0.0717 loss: 0.2286 2022/08/26 16:30:35 - mmengine - INFO - Epoch(train) [259][30/63] lr: 1.0000e-05 eta: 22:33:19 time: 2.3740 data_time: 0.2940 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0580 loss: 0.1806 2022/08/26 16:30:41 - mmengine - INFO - Epoch(train) [259][35/63] lr: 1.0000e-05 eta: 22:33:19 time: 2.4634 data_time: 0.3330 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0631 loss: 0.1982 2022/08/26 16:30:58 - mmengine - INFO - Epoch(train) [259][40/63] lr: 1.0000e-05 eta: 22:32:21 time: 2.2415 data_time: 0.1355 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0645 loss: 0.2031 2022/08/26 16:31:11 - mmengine - INFO - Epoch(train) [259][45/63] lr: 1.0000e-05 eta: 22:32:21 time: 2.8871 data_time: 0.0965 memory: 28971 loss_text: 0.1153 loss_kernel: 0.0551 loss: 0.1704 2022/08/26 16:31:20 - mmengine - INFO - Epoch(train) [259][50/63] lr: 1.0000e-05 eta: 22:31:23 time: 2.2465 data_time: 0.3089 memory: 28971 loss_text: 0.1151 loss_kernel: 0.0550 loss: 0.1702 2022/08/26 16:31:41 - mmengine - INFO - Epoch(train) [259][55/63] lr: 1.0000e-05 eta: 22:31:23 time: 3.0486 data_time: 0.2496 memory: 28971 loss_text: 0.1021 loss_kernel: 0.0498 loss: 0.1519 2022/08/26 16:31:47 - mmengine - INFO - Epoch(train) [259][60/63] lr: 1.0000e-05 eta: 22:30:31 time: 2.7037 data_time: 0.2275 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0586 loss: 0.1815 2022/08/26 16:32:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:33:50 - mmengine - INFO - Epoch(train) [260][5/63] lr: 1.0000e-05 eta: 22:30:31 time: 12.3966 data_time: 9.3393 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0668 loss: 0.2099 2022/08/26 16:33:56 - mmengine - INFO - Epoch(train) [260][10/63] lr: 1.0000e-05 eta: 22:31:03 time: 11.0301 data_time: 9.3037 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0730 loss: 0.2326 2022/08/26 16:34:12 - mmengine - INFO - Epoch(train) [260][15/63] lr: 1.0000e-05 eta: 22:31:03 time: 2.1769 data_time: 0.0834 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0619 loss: 0.1966 2022/08/26 16:34:17 - mmengine - INFO - Epoch(train) [260][20/63] lr: 1.0000e-05 eta: 22:30:03 time: 2.0905 data_time: 0.1000 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0638 loss: 0.2009 2022/08/26 16:34:36 - mmengine - INFO - Epoch(train) [260][25/63] lr: 1.0000e-05 eta: 22:30:03 time: 2.3893 data_time: 0.1619 memory: 28971 loss_text: 0.1500 loss_kernel: 0.0702 loss: 0.2202 2022/08/26 16:34:41 - mmengine - INFO - Epoch(train) [260][30/63] lr: 1.0000e-05 eta: 22:29:07 time: 2.3484 data_time: 0.1273 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0567 loss: 0.1756 2022/08/26 16:34:58 - mmengine - INFO - Epoch(train) [260][35/63] lr: 1.0000e-05 eta: 22:29:07 time: 2.1845 data_time: 0.1408 memory: 28971 loss_text: 0.1254 loss_kernel: 0.0583 loss: 0.1837 2022/08/26 16:35:03 - mmengine - INFO - Epoch(train) [260][40/63] lr: 1.0000e-05 eta: 22:28:08 time: 2.1955 data_time: 0.1282 memory: 28971 loss_text: 0.1410 loss_kernel: 0.0639 loss: 0.2048 2022/08/26 16:35:23 - mmengine - INFO - Epoch(train) [260][45/63] lr: 1.0000e-05 eta: 22:28:08 time: 2.5252 data_time: 0.1479 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0590 loss: 0.1859 2022/08/26 16:35:39 - mmengine - INFO - Epoch(train) [260][50/63] lr: 1.0000e-05 eta: 22:27:27 time: 3.5278 data_time: 0.1621 memory: 28971 loss_text: 0.1576 loss_kernel: 0.0723 loss: 0.2299 2022/08/26 16:35:50 - mmengine - INFO - Epoch(train) [260][55/63] lr: 1.0000e-05 eta: 22:27:27 time: 2.6754 data_time: 0.2940 memory: 28971 loss_text: 0.1752 loss_kernel: 0.0798 loss: 0.2551 2022/08/26 16:36:09 - mmengine - INFO - Epoch(train) [260][60/63] lr: 1.0000e-05 eta: 22:26:41 time: 3.0935 data_time: 0.4039 memory: 28971 loss_text: 0.1614 loss_kernel: 0.0742 loss: 0.2356 2022/08/26 16:36:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:36:14 - mmengine - INFO - Saving checkpoint at 260 epochs 2022/08/26 16:38:13 - mmengine - INFO - Epoch(train) [261][5/63] lr: 1.0000e-05 eta: 22:26:41 time: 13.2966 data_time: 9.6385 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0580 loss: 0.1801 2022/08/26 16:38:24 - mmengine - INFO - Epoch(train) [261][10/63] lr: 1.0000e-05 eta: 22:27:27 time: 12.2232 data_time: 9.4962 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0636 loss: 0.1989 2022/08/26 16:38:29 - mmengine - INFO - Epoch(train) [261][15/63] lr: 1.0000e-05 eta: 22:27:27 time: 1.5575 data_time: 0.0848 memory: 28971 loss_text: 0.1107 loss_kernel: 0.0531 loss: 0.1639 2022/08/26 16:38:37 - mmengine - INFO - Epoch(train) [261][20/63] lr: 1.0000e-05 eta: 22:26:17 time: 1.3153 data_time: 0.0618 memory: 28971 loss_text: 0.0969 loss_kernel: 0.0481 loss: 0.1450 2022/08/26 16:38:42 - mmengine - INFO - Epoch(train) [261][25/63] lr: 1.0000e-05 eta: 22:26:17 time: 1.3125 data_time: 0.0660 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0595 loss: 0.1861 2022/08/26 16:38:46 - mmengine - INFO - Epoch(train) [261][30/63] lr: 1.0000e-05 eta: 22:25:03 time: 0.9235 data_time: 0.0537 memory: 28971 loss_text: 0.1575 loss_kernel: 0.0720 loss: 0.2295 2022/08/26 16:38:53 - mmengine - INFO - Epoch(train) [261][35/63] lr: 1.0000e-05 eta: 22:25:03 time: 1.1751 data_time: 0.0500 memory: 28971 loss_text: 0.1393 loss_kernel: 0.0658 loss: 0.2051 2022/08/26 16:38:58 - mmengine - INFO - Epoch(train) [261][40/63] lr: 1.0000e-05 eta: 22:23:51 time: 1.1545 data_time: 0.0493 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0600 loss: 0.1884 2022/08/26 16:39:04 - mmengine - INFO - Epoch(train) [261][45/63] lr: 1.0000e-05 eta: 22:23:51 time: 1.0735 data_time: 0.0368 memory: 28971 loss_text: 0.1687 loss_kernel: 0.0766 loss: 0.2453 2022/08/26 16:39:09 - mmengine - INFO - Epoch(train) [261][50/63] lr: 1.0000e-05 eta: 22:22:39 time: 1.1485 data_time: 0.0635 memory: 28971 loss_text: 0.1685 loss_kernel: 0.0771 loss: 0.2455 2022/08/26 16:39:19 - mmengine - INFO - Epoch(train) [261][55/63] lr: 1.0000e-05 eta: 22:22:39 time: 1.4579 data_time: 0.0689 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0692 loss: 0.2193 2022/08/26 16:39:27 - mmengine - INFO - Epoch(train) [261][60/63] lr: 1.0000e-05 eta: 22:21:35 time: 1.7399 data_time: 0.0818 memory: 28971 loss_text: 0.1511 loss_kernel: 0.0700 loss: 0.2211 2022/08/26 16:39:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:41:03 - mmengine - INFO - Epoch(train) [262][5/63] lr: 1.0000e-05 eta: 22:21:35 time: 9.9754 data_time: 8.5489 memory: 28971 loss_text: 0.1515 loss_kernel: 0.0701 loss: 0.2216 2022/08/26 16:41:08 - mmengine - INFO - Epoch(train) [262][10/63] lr: 1.0000e-05 eta: 22:21:49 time: 9.7996 data_time: 8.5442 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0685 loss: 0.2152 2022/08/26 16:41:20 - mmengine - INFO - Epoch(train) [262][15/63] lr: 1.0000e-05 eta: 22:21:49 time: 1.6290 data_time: 0.0547 memory: 28971 loss_text: 0.1052 loss_kernel: 0.0516 loss: 0.1568 2022/08/26 16:41:24 - mmengine - INFO - Epoch(train) [262][20/63] lr: 1.0000e-05 eta: 22:20:44 time: 1.6347 data_time: 0.0723 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0599 loss: 0.1878 2022/08/26 16:41:36 - mmengine - INFO - Epoch(train) [262][25/63] lr: 1.0000e-05 eta: 22:20:44 time: 1.6737 data_time: 0.0621 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0633 loss: 0.1984 2022/08/26 16:41:41 - mmengine - INFO - Epoch(train) [262][30/63] lr: 1.0000e-05 eta: 22:19:39 time: 1.6766 data_time: 0.0459 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0581 loss: 0.1788 2022/08/26 16:41:46 - mmengine - INFO - Epoch(train) [262][35/63] lr: 1.0000e-05 eta: 22:19:39 time: 0.9083 data_time: 0.0443 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0702 loss: 0.2207 2022/08/26 16:41:58 - mmengine - INFO - Epoch(train) [262][40/63] lr: 1.0000e-05 eta: 22:18:34 time: 1.6601 data_time: 0.0659 memory: 28971 loss_text: 0.1653 loss_kernel: 0.0768 loss: 0.2421 2022/08/26 16:42:07 - mmengine - INFO - Epoch(train) [262][45/63] lr: 1.0000e-05 eta: 22:18:34 time: 2.2028 data_time: 0.0942 memory: 28971 loss_text: 0.1552 loss_kernel: 0.0718 loss: 0.2270 2022/08/26 16:42:15 - mmengine - INFO - Epoch(train) [262][50/63] lr: 1.0000e-05 eta: 22:17:30 time: 1.7489 data_time: 0.1096 memory: 28971 loss_text: 0.1454 loss_kernel: 0.0668 loss: 0.2123 2022/08/26 16:42:20 - mmengine - INFO - Epoch(train) [262][55/63] lr: 1.0000e-05 eta: 22:17:30 time: 1.3117 data_time: 0.0825 memory: 28971 loss_text: 0.1102 loss_kernel: 0.0529 loss: 0.1631 2022/08/26 16:42:31 - mmengine - INFO - Epoch(train) [262][60/63] lr: 1.0000e-05 eta: 22:16:24 time: 1.5472 data_time: 0.0597 memory: 28971 loss_text: 0.1130 loss_kernel: 0.0544 loss: 0.1675 2022/08/26 16:42:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:44:21 - mmengine - INFO - Epoch(train) [263][5/63] lr: 1.0000e-05 eta: 22:16:24 time: 11.2890 data_time: 9.4604 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0620 loss: 0.1939 2022/08/26 16:44:27 - mmengine - INFO - Epoch(train) [263][10/63] lr: 1.0000e-05 eta: 22:16:58 time: 11.3142 data_time: 9.4400 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0540 loss: 0.1673 2022/08/26 16:44:47 - mmengine - INFO - Epoch(train) [263][15/63] lr: 1.0000e-05 eta: 22:16:58 time: 2.5399 data_time: 0.1860 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0528 loss: 0.1646 2022/08/26 16:45:05 - mmengine - INFO - Epoch(train) [263][20/63] lr: 1.0000e-05 eta: 22:16:20 time: 3.7178 data_time: 0.2447 memory: 28971 loss_text: 0.1126 loss_kernel: 0.0532 loss: 0.1658 2022/08/26 16:45:19 - mmengine - INFO - Epoch(train) [263][25/63] lr: 1.0000e-05 eta: 22:16:20 time: 3.2211 data_time: 0.1900 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0620 loss: 0.1957 2022/08/26 16:45:31 - mmengine - INFO - Epoch(train) [263][30/63] lr: 1.0000e-05 eta: 22:15:28 time: 2.6504 data_time: 0.1824 memory: 28971 loss_text: 0.1425 loss_kernel: 0.0667 loss: 0.2092 2022/08/26 16:45:50 - mmengine - INFO - Epoch(train) [263][35/63] lr: 1.0000e-05 eta: 22:15:28 time: 3.1002 data_time: 0.1793 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0586 loss: 0.1856 2022/08/26 16:45:56 - mmengine - INFO - Epoch(train) [263][40/63] lr: 1.0000e-05 eta: 22:14:33 time: 2.4673 data_time: 0.1799 memory: 28971 loss_text: 0.1169 loss_kernel: 0.0535 loss: 0.1705 2022/08/26 16:46:15 - mmengine - INFO - Epoch(train) [263][45/63] lr: 1.0000e-05 eta: 22:14:33 time: 2.5315 data_time: 0.2399 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0695 loss: 0.2197 2022/08/26 16:46:20 - mmengine - INFO - Epoch(train) [263][50/63] lr: 1.0000e-05 eta: 22:13:38 time: 2.4431 data_time: 0.1621 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0704 loss: 0.2199 2022/08/26 16:46:40 - mmengine - INFO - Epoch(train) [263][55/63] lr: 1.0000e-05 eta: 22:13:38 time: 2.4461 data_time: 0.0955 memory: 28971 loss_text: 0.1335 loss_kernel: 0.0640 loss: 0.1975 2022/08/26 16:47:22 - mmengine - INFO - Epoch(train) [263][60/63] lr: 1.0000e-05 eta: 22:13:31 time: 6.0905 data_time: 0.2990 memory: 28971 loss_text: 0.1567 loss_kernel: 0.0736 loss: 0.2303 2022/08/26 16:47:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:49:50 - mmengine - INFO - Epoch(train) [264][5/63] lr: 1.0000e-05 eta: 22:13:31 time: 17.2303 data_time: 10.3926 memory: 28971 loss_text: 0.1439 loss_kernel: 0.0655 loss: 0.2095 2022/08/26 16:49:56 - mmengine - INFO - Epoch(train) [264][10/63] lr: 1.0000e-05 eta: 22:14:13 time: 12.0397 data_time: 10.1347 memory: 28971 loss_text: 0.1396 loss_kernel: 0.0630 loss: 0.2026 2022/08/26 16:50:13 - mmengine - INFO - Epoch(train) [264][15/63] lr: 1.0000e-05 eta: 22:14:13 time: 2.2578 data_time: 0.1184 memory: 28971 loss_text: 0.1143 loss_kernel: 0.0544 loss: 0.1687 2022/08/26 16:50:18 - mmengine - INFO - Epoch(train) [264][20/63] lr: 1.0000e-05 eta: 22:13:15 time: 2.1835 data_time: 0.1188 memory: 28971 loss_text: 0.1024 loss_kernel: 0.0495 loss: 0.1519 2022/08/26 16:50:37 - mmengine - INFO - Epoch(train) [264][25/63] lr: 1.0000e-05 eta: 22:13:15 time: 2.4151 data_time: 0.1216 memory: 28971 loss_text: 0.1314 loss_kernel: 0.0620 loss: 0.1934 2022/08/26 16:50:42 - mmengine - INFO - Epoch(train) [264][30/63] lr: 1.0000e-05 eta: 22:12:20 time: 2.4238 data_time: 0.1002 memory: 28971 loss_text: 0.1561 loss_kernel: 0.0724 loss: 0.2285 2022/08/26 16:51:02 - mmengine - INFO - Epoch(train) [264][35/63] lr: 1.0000e-05 eta: 22:12:20 time: 2.5105 data_time: 0.1553 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0684 loss: 0.2167 2022/08/26 16:51:15 - mmengine - INFO - Epoch(train) [264][40/63] lr: 1.0000e-05 eta: 22:11:36 time: 3.2365 data_time: 0.1498 memory: 28971 loss_text: 0.1497 loss_kernel: 0.0679 loss: 0.2176 2022/08/26 16:51:26 - mmengine - INFO - Epoch(train) [264][45/63] lr: 1.0000e-05 eta: 22:11:36 time: 2.4030 data_time: 0.2383 memory: 28971 loss_text: 0.1638 loss_kernel: 0.0738 loss: 0.2376 2022/08/26 16:51:47 - mmengine - INFO - Epoch(train) [264][50/63] lr: 1.0000e-05 eta: 22:10:51 time: 3.2331 data_time: 0.2272 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0638 loss: 0.1991 2022/08/26 16:51:52 - mmengine - INFO - Epoch(train) [264][55/63] lr: 1.0000e-05 eta: 22:10:51 time: 2.6582 data_time: 0.1837 memory: 28971 loss_text: 0.1109 loss_kernel: 0.0540 loss: 0.1649 2022/08/26 16:52:09 - mmengine - INFO - Epoch(train) [264][60/63] lr: 1.0000e-05 eta: 22:09:54 time: 2.2381 data_time: 0.2143 memory: 28971 loss_text: 0.1149 loss_kernel: 0.0551 loss: 0.1700 2022/08/26 16:52:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:54:17 - mmengine - INFO - Epoch(train) [265][5/63] lr: 1.0000e-05 eta: 22:09:54 time: 13.0524 data_time: 9.9337 memory: 28971 loss_text: 0.1483 loss_kernel: 0.0697 loss: 0.2180 2022/08/26 16:54:33 - mmengine - INFO - Epoch(train) [265][10/63] lr: 1.0000e-05 eta: 22:10:45 time: 12.8198 data_time: 9.9240 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0620 loss: 0.1914 2022/08/26 16:54:40 - mmengine - INFO - Epoch(train) [265][15/63] lr: 1.0000e-05 eta: 22:10:45 time: 2.3106 data_time: 0.0810 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0600 loss: 0.1873 2022/08/26 16:54:45 - mmengine - INFO - Epoch(train) [265][20/63] lr: 1.0000e-05 eta: 22:09:36 time: 1.2416 data_time: 0.0622 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0605 loss: 0.1905 2022/08/26 16:55:02 - mmengine - INFO - Epoch(train) [265][25/63] lr: 1.0000e-05 eta: 22:09:36 time: 2.1915 data_time: 0.1488 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0618 loss: 0.1951 2022/08/26 16:55:07 - mmengine - INFO - Epoch(train) [265][30/63] lr: 1.0000e-05 eta: 22:08:38 time: 2.1889 data_time: 0.1439 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0588 loss: 0.1848 2022/08/26 16:55:23 - mmengine - INFO - Epoch(train) [265][35/63] lr: 1.0000e-05 eta: 22:08:38 time: 2.0490 data_time: 0.0713 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0574 loss: 0.1802 2022/08/26 16:55:28 - mmengine - INFO - Epoch(train) [265][40/63] lr: 1.0000e-05 eta: 22:07:38 time: 2.0440 data_time: 0.0979 memory: 28971 loss_text: 0.1070 loss_kernel: 0.0505 loss: 0.1576 2022/08/26 16:55:42 - mmengine - INFO - Epoch(train) [265][45/63] lr: 1.0000e-05 eta: 22:07:38 time: 1.9512 data_time: 0.1349 memory: 28971 loss_text: 0.1118 loss_kernel: 0.0529 loss: 0.1646 2022/08/26 16:55:48 - mmengine - INFO - Epoch(train) [265][50/63] lr: 1.0000e-05 eta: 22:06:38 time: 2.0343 data_time: 0.1517 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0658 loss: 0.2067 2022/08/26 16:56:07 - mmengine - INFO - Epoch(train) [265][55/63] lr: 1.0000e-05 eta: 22:06:38 time: 2.4420 data_time: 0.0757 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0587 loss: 0.1827 2022/08/26 16:56:31 - mmengine - INFO - Epoch(train) [265][60/63] lr: 1.0000e-05 eta: 22:06:07 time: 4.2600 data_time: 0.2096 memory: 28971 loss_text: 0.1377 loss_kernel: 0.0645 loss: 0.2022 2022/08/26 16:56:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 16:58:45 - mmengine - INFO - Epoch(train) [266][5/63] lr: 1.0000e-05 eta: 22:06:07 time: 14.6872 data_time: 10.0474 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0690 loss: 0.2182 2022/08/26 16:58:51 - mmengine - INFO - Epoch(train) [266][10/63] lr: 1.0000e-05 eta: 22:06:50 time: 12.1815 data_time: 10.0044 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0650 loss: 0.2048 2022/08/26 16:59:12 - mmengine - INFO - Epoch(train) [266][15/63] lr: 1.0000e-05 eta: 22:06:50 time: 2.6508 data_time: 0.1214 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0588 loss: 0.1835 2022/08/26 16:59:16 - mmengine - INFO - Epoch(train) [266][20/63] lr: 1.0000e-05 eta: 22:05:56 time: 2.5254 data_time: 0.0737 memory: 28971 loss_text: 0.1478 loss_kernel: 0.0684 loss: 0.2162 2022/08/26 16:59:36 - mmengine - INFO - Epoch(train) [266][25/63] lr: 1.0000e-05 eta: 22:05:56 time: 2.4043 data_time: 0.1247 memory: 28971 loss_text: 0.1748 loss_kernel: 0.0795 loss: 0.2544 2022/08/26 16:59:41 - mmengine - INFO - Epoch(train) [266][30/63] lr: 1.0000e-05 eta: 22:05:02 time: 2.4437 data_time: 0.1277 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0757 loss: 0.2398 2022/08/26 17:00:01 - mmengine - INFO - Epoch(train) [266][35/63] lr: 1.0000e-05 eta: 22:05:02 time: 2.4799 data_time: 0.1114 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0623 loss: 0.1942 2022/08/26 17:00:18 - mmengine - INFO - Epoch(train) [266][40/63] lr: 1.0000e-05 eta: 22:04:22 time: 3.6027 data_time: 0.1064 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0618 loss: 0.1925 2022/08/26 17:00:27 - mmengine - INFO - Epoch(train) [266][45/63] lr: 1.0000e-05 eta: 22:04:22 time: 2.6550 data_time: 0.1888 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0641 loss: 0.1981 2022/08/26 17:00:47 - mmengine - INFO - Epoch(train) [266][50/63] lr: 1.0000e-05 eta: 22:03:35 time: 2.9876 data_time: 0.2909 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0583 loss: 0.1805 2022/08/26 17:00:52 - mmengine - INFO - Epoch(train) [266][55/63] lr: 1.0000e-05 eta: 22:03:35 time: 2.4847 data_time: 0.2338 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0565 loss: 0.1773 2022/08/26 17:01:11 - mmengine - INFO - Epoch(train) [266][60/63] lr: 1.0000e-05 eta: 22:02:39 time: 2.3536 data_time: 0.1504 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0628 loss: 0.1965 2022/08/26 17:01:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:03:16 - mmengine - INFO - Epoch(train) [267][5/63] lr: 1.0000e-05 eta: 22:02:39 time: 12.6605 data_time: 9.9655 memory: 28971 loss_text: 0.1688 loss_kernel: 0.0780 loss: 0.2468 2022/08/26 17:03:22 - mmengine - INFO - Epoch(train) [267][10/63] lr: 1.0000e-05 eta: 22:03:27 time: 12.6609 data_time: 9.9373 memory: 28971 loss_text: 0.1753 loss_kernel: 0.0797 loss: 0.2549 2022/08/26 17:03:41 - mmengine - INFO - Epoch(train) [267][15/63] lr: 1.0000e-05 eta: 22:03:27 time: 2.4821 data_time: 0.1390 memory: 28971 loss_text: 0.1583 loss_kernel: 0.0727 loss: 0.2310 2022/08/26 17:03:59 - mmengine - INFO - Epoch(train) [267][20/63] lr: 1.0000e-05 eta: 22:02:48 time: 3.6280 data_time: 0.1731 memory: 28971 loss_text: 0.1546 loss_kernel: 0.0701 loss: 0.2247 2022/08/26 17:04:06 - mmengine - INFO - Epoch(train) [267][25/63] lr: 1.0000e-05 eta: 22:02:48 time: 2.5525 data_time: 0.3137 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0668 loss: 0.2148 2022/08/26 17:04:11 - mmengine - INFO - Epoch(train) [267][30/63] lr: 1.0000e-05 eta: 22:01:38 time: 1.2288 data_time: 0.2404 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0564 loss: 0.1775 2022/08/26 17:04:36 - mmengine - INFO - Epoch(train) [267][35/63] lr: 1.0000e-05 eta: 22:01:38 time: 2.9879 data_time: 0.1080 memory: 28971 loss_text: 0.1397 loss_kernel: 0.0648 loss: 0.2046 2022/08/26 17:04:40 - mmengine - INFO - Epoch(train) [267][40/63] lr: 1.0000e-05 eta: 22:00:50 time: 2.9835 data_time: 0.1476 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0631 loss: 0.1969 2022/08/26 17:05:01 - mmengine - INFO - Epoch(train) [267][45/63] lr: 1.0000e-05 eta: 22:00:50 time: 2.5541 data_time: 0.1578 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0614 loss: 0.1913 2022/08/26 17:05:07 - mmengine - INFO - Epoch(train) [267][50/63] lr: 1.0000e-05 eta: 21:59:59 time: 2.6868 data_time: 0.2082 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0643 loss: 0.2031 2022/08/26 17:05:31 - mmengine - INFO - Epoch(train) [267][55/63] lr: 1.0000e-05 eta: 21:59:59 time: 2.8928 data_time: 0.1443 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0574 loss: 0.1810 2022/08/26 17:05:55 - mmengine - INFO - Epoch(train) [267][60/63] lr: 1.0000e-05 eta: 21:59:33 time: 4.7246 data_time: 0.2575 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0549 loss: 0.1699 2022/08/26 17:06:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:08:17 - mmengine - INFO - Epoch(train) [268][5/63] lr: 1.0000e-05 eta: 21:59:33 time: 15.9165 data_time: 9.6876 memory: 28971 loss_text: 0.1484 loss_kernel: 0.0691 loss: 0.2175 2022/08/26 17:08:46 - mmengine - INFO - Epoch(train) [268][10/63] lr: 1.0000e-05 eta: 22:00:49 time: 14.8914 data_time: 9.7069 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0580 loss: 0.1796 2022/08/26 17:09:14 - mmengine - INFO - Epoch(train) [268][15/63] lr: 1.0000e-05 eta: 22:00:49 time: 5.7143 data_time: 0.2906 memory: 28971 loss_text: 0.1077 loss_kernel: 0.0529 loss: 0.1606 2022/08/26 17:09:35 - mmengine - INFO - Epoch(train) [268][20/63] lr: 1.0000e-05 eta: 22:00:25 time: 4.9195 data_time: 0.2790 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0581 loss: 0.1793 2022/08/26 17:09:49 - mmengine - INFO - Epoch(train) [268][25/63] lr: 1.0000e-05 eta: 22:00:25 time: 3.4945 data_time: 0.3285 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0587 loss: 0.1827 2022/08/26 17:10:04 - mmengine - INFO - Epoch(train) [268][30/63] lr: 1.0000e-05 eta: 21:59:37 time: 2.9576 data_time: 0.3270 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0647 loss: 0.2037 2022/08/26 17:10:30 - mmengine - INFO - Epoch(train) [268][35/63] lr: 1.0000e-05 eta: 21:59:37 time: 4.0710 data_time: 0.2446 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0677 loss: 0.2126 2022/08/26 17:10:55 - mmengine - INFO - Epoch(train) [268][40/63] lr: 1.0000e-05 eta: 21:59:15 time: 5.0141 data_time: 0.2013 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0640 loss: 0.2012 2022/08/26 17:11:01 - mmengine - INFO - Epoch(train) [268][45/63] lr: 1.0000e-05 eta: 21:59:15 time: 3.1151 data_time: 0.1910 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0663 loss: 0.2113 2022/08/26 17:11:23 - mmengine - INFO - Epoch(train) [268][50/63] lr: 1.0000e-05 eta: 21:58:25 time: 2.8395 data_time: 0.2145 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0600 loss: 0.1891 2022/08/26 17:11:43 - mmengine - INFO - Epoch(train) [268][55/63] lr: 1.0000e-05 eta: 21:58:25 time: 4.0722 data_time: 0.1759 memory: 28971 loss_text: 0.1045 loss_kernel: 0.0507 loss: 0.1552 2022/08/26 17:12:12 - mmengine - INFO - Epoch(train) [268][60/63] lr: 1.0000e-05 eta: 21:58:01 time: 4.9159 data_time: 0.4655 memory: 28971 loss_text: 0.1130 loss_kernel: 0.0550 loss: 0.1681 2022/08/26 17:12:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:14:01 - mmengine - INFO - Epoch(train) [269][5/63] lr: 1.0000e-05 eta: 21:58:01 time: 11.2327 data_time: 9.3660 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0619 loss: 0.1918 2022/08/26 17:14:10 - mmengine - INFO - Epoch(train) [269][10/63] lr: 1.0000e-05 eta: 21:58:31 time: 11.3037 data_time: 9.2668 memory: 28971 loss_text: 0.1153 loss_kernel: 0.0554 loss: 0.1707 2022/08/26 17:14:26 - mmengine - INFO - Epoch(train) [269][15/63] lr: 1.0000e-05 eta: 21:58:31 time: 2.5009 data_time: 0.1804 memory: 28971 loss_text: 0.1056 loss_kernel: 0.0514 loss: 0.1571 2022/08/26 17:14:42 - mmengine - INFO - Epoch(train) [269][20/63] lr: 1.0000e-05 eta: 21:57:46 time: 3.1874 data_time: 0.1657 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0564 loss: 0.1740 2022/08/26 17:14:54 - mmengine - INFO - Epoch(train) [269][25/63] lr: 1.0000e-05 eta: 21:57:46 time: 2.7411 data_time: 0.1797 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0629 loss: 0.1970 2022/08/26 17:15:13 - mmengine - INFO - Epoch(train) [269][30/63] lr: 1.0000e-05 eta: 21:56:59 time: 3.0728 data_time: 0.2067 memory: 28971 loss_text: 0.1303 loss_kernel: 0.0623 loss: 0.1926 2022/08/26 17:15:19 - mmengine - INFO - Epoch(train) [269][35/63] lr: 1.0000e-05 eta: 21:56:59 time: 2.5256 data_time: 0.2487 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0571 loss: 0.1748 2022/08/26 17:15:41 - mmengine - INFO - Epoch(train) [269][40/63] lr: 1.0000e-05 eta: 21:56:10 time: 2.8161 data_time: 0.1929 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0649 loss: 0.2032 2022/08/26 17:15:45 - mmengine - INFO - Epoch(train) [269][45/63] lr: 1.0000e-05 eta: 21:56:10 time: 2.6410 data_time: 0.0796 memory: 28971 loss_text: 0.1807 loss_kernel: 0.0824 loss: 0.2632 2022/08/26 17:16:05 - mmengine - INFO - Epoch(train) [269][50/63] lr: 1.0000e-05 eta: 21:55:15 time: 2.3980 data_time: 0.1675 memory: 28971 loss_text: 0.1544 loss_kernel: 0.0705 loss: 0.2250 2022/08/26 17:16:10 - mmengine - INFO - Epoch(train) [269][55/63] lr: 1.0000e-05 eta: 21:55:15 time: 2.4593 data_time: 0.1694 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0539 loss: 0.1695 2022/08/26 17:16:29 - mmengine - INFO - Epoch(train) [269][60/63] lr: 1.0000e-05 eta: 21:54:21 time: 2.4879 data_time: 0.0926 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0689 loss: 0.2183 2022/08/26 17:16:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:18:26 - mmengine - INFO - Epoch(train) [270][5/63] lr: 1.0000e-05 eta: 21:54:21 time: 11.8327 data_time: 9.7413 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0667 loss: 0.2112 2022/08/26 17:18:32 - mmengine - INFO - Epoch(train) [270][10/63] lr: 1.0000e-05 eta: 21:54:57 time: 11.8418 data_time: 9.7110 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0684 loss: 0.2143 2022/08/26 17:18:54 - mmengine - INFO - Epoch(train) [270][15/63] lr: 1.0000e-05 eta: 21:54:57 time: 2.8379 data_time: 0.1043 memory: 28971 loss_text: 0.1241 loss_kernel: 0.0590 loss: 0.1831 2022/08/26 17:19:20 - mmengine - INFO - Epoch(train) [270][20/63] lr: 1.0000e-05 eta: 21:54:31 time: 4.7773 data_time: 0.2411 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0605 loss: 0.1925 2022/08/26 17:19:24 - mmengine - INFO - Epoch(train) [270][25/63] lr: 1.0000e-05 eta: 21:54:31 time: 2.9993 data_time: 0.2469 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0637 loss: 0.2023 2022/08/26 17:19:42 - mmengine - INFO - Epoch(train) [270][30/63] lr: 1.0000e-05 eta: 21:53:35 time: 2.2682 data_time: 0.0814 memory: 28971 loss_text: 0.1561 loss_kernel: 0.0712 loss: 0.2273 2022/08/26 17:19:48 - mmengine - INFO - Epoch(train) [270][35/63] lr: 1.0000e-05 eta: 21:53:35 time: 2.3976 data_time: 0.1052 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0657 loss: 0.2103 2022/08/26 17:20:14 - mmengine - INFO - Epoch(train) [270][40/63] lr: 1.0000e-05 eta: 21:52:49 time: 3.1612 data_time: 0.1255 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0567 loss: 0.1796 2022/08/26 17:20:38 - mmengine - INFO - Epoch(train) [270][45/63] lr: 1.0000e-05 eta: 21:52:49 time: 4.9890 data_time: 0.2068 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0578 loss: 0.1846 2022/08/26 17:21:09 - mmengine - INFO - Epoch(train) [270][50/63] lr: 1.0000e-05 eta: 21:52:31 time: 5.3977 data_time: 0.3035 memory: 28971 loss_text: 0.1254 loss_kernel: 0.0564 loss: 0.1818 2022/08/26 17:21:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:21:17 - mmengine - INFO - Epoch(train) [270][55/63] lr: 1.0000e-05 eta: 21:52:31 time: 3.9038 data_time: 0.2915 memory: 28971 loss_text: 0.1244 loss_kernel: 0.0571 loss: 0.1815 2022/08/26 17:21:40 - mmengine - INFO - Epoch(train) [270][60/63] lr: 1.0000e-05 eta: 21:51:46 time: 3.2094 data_time: 0.2489 memory: 28971 loss_text: 0.1362 loss_kernel: 0.0641 loss: 0.2003 2022/08/26 17:21:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:23:29 - mmengine - INFO - Epoch(train) [271][5/63] lr: 1.0000e-05 eta: 21:51:46 time: 11.0667 data_time: 9.2238 memory: 28971 loss_text: 0.1251 loss_kernel: 0.0599 loss: 0.1850 2022/08/26 17:23:35 - mmengine - INFO - Epoch(train) [271][10/63] lr: 1.0000e-05 eta: 21:52:12 time: 11.0440 data_time: 9.1865 memory: 28971 loss_text: 0.1540 loss_kernel: 0.0720 loss: 0.2261 2022/08/26 17:23:52 - mmengine - INFO - Epoch(train) [271][15/63] lr: 1.0000e-05 eta: 21:52:12 time: 2.2569 data_time: 0.0554 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0701 loss: 0.2230 2022/08/26 17:23:57 - mmengine - INFO - Epoch(train) [271][20/63] lr: 1.0000e-05 eta: 21:51:15 time: 2.2079 data_time: 0.0803 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0623 loss: 0.2011 2022/08/26 17:24:19 - mmengine - INFO - Epoch(train) [271][25/63] lr: 1.0000e-05 eta: 21:51:15 time: 2.6436 data_time: 0.1718 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0607 loss: 0.1938 2022/08/26 17:24:24 - mmengine - INFO - Epoch(train) [271][30/63] lr: 1.0000e-05 eta: 21:50:23 time: 2.6684 data_time: 0.1905 memory: 28971 loss_text: 0.1603 loss_kernel: 0.0730 loss: 0.2332 2022/08/26 17:24:46 - mmengine - INFO - Epoch(train) [271][35/63] lr: 1.0000e-05 eta: 21:50:23 time: 2.7516 data_time: 0.1913 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0673 loss: 0.2139 2022/08/26 17:24:50 - mmengine - INFO - Epoch(train) [271][40/63] lr: 1.0000e-05 eta: 21:49:32 time: 2.6679 data_time: 0.1355 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0622 loss: 0.1967 2022/08/26 17:25:12 - mmengine - INFO - Epoch(train) [271][45/63] lr: 1.0000e-05 eta: 21:49:32 time: 2.6476 data_time: 0.1162 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0690 loss: 0.2191 2022/08/26 17:25:36 - mmengine - INFO - Epoch(train) [271][50/63] lr: 1.0000e-05 eta: 21:49:03 time: 4.5587 data_time: 0.1441 memory: 28971 loss_text: 0.1108 loss_kernel: 0.0532 loss: 0.1640 2022/08/26 17:25:45 - mmengine - INFO - Epoch(train) [271][55/63] lr: 1.0000e-05 eta: 21:49:03 time: 3.2786 data_time: 0.1769 memory: 28971 loss_text: 0.0837 loss_kernel: 0.0415 loss: 0.1252 2022/08/26 17:26:16 - mmengine - INFO - Epoch(train) [271][60/63] lr: 1.0000e-05 eta: 21:48:28 time: 4.0329 data_time: 0.1494 memory: 28971 loss_text: 0.1146 loss_kernel: 0.0550 loss: 0.1696 2022/08/26 17:26:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:28:36 - mmengine - INFO - Epoch(train) [272][5/63] lr: 1.0000e-05 eta: 21:48:28 time: 14.1915 data_time: 10.0668 memory: 28971 loss_text: 0.1333 loss_kernel: 0.0649 loss: 0.1983 2022/08/26 17:28:51 - mmengine - INFO - Epoch(train) [272][10/63] lr: 1.0000e-05 eta: 21:49:21 time: 13.3253 data_time: 9.9045 memory: 28971 loss_text: 0.1486 loss_kernel: 0.0710 loss: 0.2196 2022/08/26 17:28:59 - mmengine - INFO - Epoch(train) [272][15/63] lr: 1.0000e-05 eta: 21:49:21 time: 2.3475 data_time: 0.1778 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0704 loss: 0.2209 2022/08/26 17:29:20 - mmengine - INFO - Epoch(train) [272][20/63] lr: 1.0000e-05 eta: 21:48:32 time: 2.8952 data_time: 0.2667 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0580 loss: 0.1794 2022/08/26 17:29:53 - mmengine - INFO - Epoch(train) [272][25/63] lr: 1.0000e-05 eta: 21:48:32 time: 5.2927 data_time: 0.2606 memory: 28971 loss_text: 0.1066 loss_kernel: 0.0508 loss: 0.1574 2022/08/26 17:30:35 - mmengine - INFO - Epoch(train) [272][30/63] lr: 1.0000e-05 eta: 21:48:39 time: 7.4949 data_time: 0.5678 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0574 loss: 0.1801 2022/08/26 17:31:02 - mmengine - INFO - Epoch(train) [272][35/63] lr: 1.0000e-05 eta: 21:48:39 time: 6.9816 data_time: 0.5032 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0609 loss: 0.1893 2022/08/26 17:31:10 - mmengine - INFO - Epoch(train) [272][40/63] lr: 1.0000e-05 eta: 21:47:58 time: 3.5588 data_time: 0.1306 memory: 28971 loss_text: 0.1050 loss_kernel: 0.0505 loss: 0.1556 2022/08/26 17:31:40 - mmengine - INFO - Epoch(train) [272][45/63] lr: 1.0000e-05 eta: 21:47:58 time: 3.8455 data_time: 0.2706 memory: 28971 loss_text: 0.1137 loss_kernel: 0.0542 loss: 0.1679 2022/08/26 17:32:10 - mmengine - INFO - Epoch(train) [272][50/63] lr: 1.0000e-05 eta: 21:47:47 time: 6.0103 data_time: 0.2603 memory: 28971 loss_text: 0.1290 loss_kernel: 0.0608 loss: 0.1897 2022/08/26 17:32:33 - mmengine - INFO - Epoch(train) [272][55/63] lr: 1.0000e-05 eta: 21:47:47 time: 5.1813 data_time: 0.1799 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0583 loss: 0.1830 2022/08/26 17:32:38 - mmengine - INFO - Epoch(train) [272][60/63] lr: 1.0000e-05 eta: 21:46:57 time: 2.7588 data_time: 0.2397 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0589 loss: 0.1855 2022/08/26 17:32:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:35:01 - mmengine - INFO - Epoch(train) [273][5/63] lr: 1.0000e-05 eta: 21:46:57 time: 14.4566 data_time: 9.7547 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0740 loss: 0.2359 2022/08/26 17:35:26 - mmengine - INFO - Epoch(train) [273][10/63] lr: 1.0000e-05 eta: 21:48:03 time: 14.5711 data_time: 9.9279 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0615 loss: 0.1922 2022/08/26 17:35:31 - mmengine - INFO - Epoch(train) [273][15/63] lr: 1.0000e-05 eta: 21:48:03 time: 2.9735 data_time: 0.2879 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0574 loss: 0.1766 2022/08/26 17:35:54 - mmengine - INFO - Epoch(train) [273][20/63] lr: 1.0000e-05 eta: 21:47:13 time: 2.7999 data_time: 0.1212 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0577 loss: 0.1776 2022/08/26 17:36:00 - mmengine - INFO - Epoch(train) [273][25/63] lr: 1.0000e-05 eta: 21:47:13 time: 2.8848 data_time: 0.1028 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0647 loss: 0.2023 2022/08/26 17:36:23 - mmengine - INFO - Epoch(train) [273][30/63] lr: 1.0000e-05 eta: 21:46:25 time: 2.9118 data_time: 0.1211 memory: 28971 loss_text: 0.1400 loss_kernel: 0.0650 loss: 0.2051 2022/08/26 17:36:43 - mmengine - INFO - Epoch(train) [273][35/63] lr: 1.0000e-05 eta: 21:46:25 time: 4.2074 data_time: 0.1702 memory: 28971 loss_text: 0.1171 loss_kernel: 0.0570 loss: 0.1740 2022/08/26 17:36:52 - mmengine - INFO - Epoch(train) [273][40/63] lr: 1.0000e-05 eta: 21:45:36 time: 2.9274 data_time: 0.2643 memory: 28971 loss_text: 0.1182 loss_kernel: 0.0559 loss: 0.1741 2022/08/26 17:37:11 - mmengine - INFO - Epoch(train) [273][45/63] lr: 1.0000e-05 eta: 21:45:36 time: 2.8710 data_time: 0.2523 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0592 loss: 0.1881 2022/08/26 17:37:16 - mmengine - INFO - Epoch(train) [273][50/63] lr: 1.0000e-05 eta: 21:44:42 time: 2.4093 data_time: 0.2172 memory: 28971 loss_text: 0.1325 loss_kernel: 0.0628 loss: 0.1953 2022/08/26 17:37:40 - mmengine - INFO - Epoch(train) [273][55/63] lr: 1.0000e-05 eta: 21:44:42 time: 2.8823 data_time: 0.1466 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0639 loss: 0.1975 2022/08/26 17:38:01 - mmengine - INFO - Epoch(train) [273][60/63] lr: 1.0000e-05 eta: 21:44:12 time: 4.4506 data_time: 0.2292 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0621 loss: 0.1905 2022/08/26 17:38:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:40:24 - mmengine - INFO - Epoch(train) [274][5/63] lr: 1.0000e-05 eta: 21:44:12 time: 15.1304 data_time: 9.6403 memory: 28971 loss_text: 0.1558 loss_kernel: 0.0722 loss: 0.2280 2022/08/26 17:40:44 - mmengine - INFO - Epoch(train) [274][10/63] lr: 1.0000e-05 eta: 21:45:04 time: 13.4057 data_time: 9.6558 memory: 28971 loss_text: 0.1584 loss_kernel: 0.0737 loss: 0.2321 2022/08/26 17:40:51 - mmengine - INFO - Epoch(train) [274][15/63] lr: 1.0000e-05 eta: 21:45:04 time: 2.6769 data_time: 0.1997 memory: 28971 loss_text: 0.0946 loss_kernel: 0.0443 loss: 0.1389 2022/08/26 17:41:08 - mmengine - INFO - Epoch(train) [274][20/63] lr: 1.0000e-05 eta: 21:44:09 time: 2.4442 data_time: 0.2002 memory: 28971 loss_text: 0.1223 loss_kernel: 0.0550 loss: 0.1773 2022/08/26 17:41:13 - mmengine - INFO - Epoch(train) [274][25/63] lr: 1.0000e-05 eta: 21:44:09 time: 2.2482 data_time: 0.1738 memory: 28971 loss_text: 0.1636 loss_kernel: 0.0749 loss: 0.2385 2022/08/26 17:41:35 - mmengine - INFO - Epoch(train) [274][30/63] lr: 1.0000e-05 eta: 21:43:18 time: 2.6762 data_time: 0.1425 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0757 loss: 0.2399 2022/08/26 17:42:04 - mmengine - INFO - Epoch(train) [274][35/63] lr: 1.0000e-05 eta: 21:43:18 time: 5.0210 data_time: 0.2389 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0680 loss: 0.2137 2022/08/26 17:42:19 - mmengine - INFO - Epoch(train) [274][40/63] lr: 1.0000e-05 eta: 21:42:48 time: 4.4658 data_time: 0.2451 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0655 loss: 0.2068 2022/08/26 17:42:32 - mmengine - INFO - Epoch(train) [274][45/63] lr: 1.0000e-05 eta: 21:42:48 time: 2.8209 data_time: 0.2372 memory: 28971 loss_text: 0.1547 loss_kernel: 0.0708 loss: 0.2255 2022/08/26 17:43:00 - mmengine - INFO - Epoch(train) [274][50/63] lr: 1.0000e-05 eta: 21:42:13 time: 4.0775 data_time: 0.3612 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0605 loss: 0.1925 2022/08/26 17:43:16 - mmengine - INFO - Epoch(train) [274][55/63] lr: 1.0000e-05 eta: 21:42:13 time: 4.3715 data_time: 0.2443 memory: 28971 loss_text: 0.1026 loss_kernel: 0.0487 loss: 0.1513 2022/08/26 17:43:30 - mmengine - INFO - Epoch(train) [274][60/63] lr: 1.0000e-05 eta: 21:41:25 time: 2.9745 data_time: 0.2338 memory: 28971 loss_text: 0.0919 loss_kernel: 0.0456 loss: 0.1375 2022/08/26 17:43:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:45:27 - mmengine - INFO - Epoch(train) [275][5/63] lr: 1.0000e-05 eta: 21:41:25 time: 11.7886 data_time: 9.7990 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0597 loss: 0.1862 2022/08/26 17:45:32 - mmengine - INFO - Epoch(train) [275][10/63] lr: 1.0000e-05 eta: 21:41:56 time: 11.7206 data_time: 9.8485 memory: 28971 loss_text: 0.1354 loss_kernel: 0.0643 loss: 0.1997 2022/08/26 17:45:52 - mmengine - INFO - Epoch(train) [275][15/63] lr: 1.0000e-05 eta: 21:41:56 time: 2.5073 data_time: 0.1534 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0606 loss: 0.1906 2022/08/26 17:45:56 - mmengine - INFO - Epoch(train) [275][20/63] lr: 1.0000e-05 eta: 21:41:02 time: 2.4818 data_time: 0.1422 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0611 loss: 0.1939 2022/08/26 17:46:08 - mmengine - INFO - Epoch(train) [275][25/63] lr: 1.0000e-05 eta: 21:41:02 time: 1.6910 data_time: 0.0787 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0622 loss: 0.1942 2022/08/26 17:46:13 - mmengine - INFO - Epoch(train) [275][30/63] lr: 1.0000e-05 eta: 21:39:59 time: 1.6417 data_time: 0.0644 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0665 loss: 0.2109 2022/08/26 17:46:24 - mmengine - INFO - Epoch(train) [275][35/63] lr: 1.0000e-05 eta: 21:39:59 time: 1.5676 data_time: 0.0661 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0590 loss: 0.1848 2022/08/26 17:46:28 - mmengine - INFO - Epoch(train) [275][40/63] lr: 1.0000e-05 eta: 21:38:54 time: 1.5583 data_time: 0.0509 memory: 28971 loss_text: 0.1173 loss_kernel: 0.0565 loss: 0.1737 2022/08/26 17:46:33 - mmengine - INFO - Epoch(train) [275][45/63] lr: 1.0000e-05 eta: 21:38:54 time: 0.8753 data_time: 0.0555 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0639 loss: 0.2003 2022/08/26 17:46:40 - mmengine - INFO - Epoch(train) [275][50/63] lr: 1.0000e-05 eta: 21:37:45 time: 1.1875 data_time: 0.0593 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0613 loss: 0.1936 2022/08/26 17:46:45 - mmengine - INFO - Epoch(train) [275][55/63] lr: 1.0000e-05 eta: 21:37:45 time: 1.2314 data_time: 0.0618 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0548 loss: 0.1737 2022/08/26 17:46:51 - mmengine - INFO - Epoch(train) [275][60/63] lr: 1.0000e-05 eta: 21:36:35 time: 1.0647 data_time: 0.0818 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0570 loss: 0.1784 2022/08/26 17:46:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:48:34 - mmengine - INFO - Epoch(train) [276][5/63] lr: 1.0000e-05 eta: 21:36:35 time: 10.4775 data_time: 8.8303 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0628 loss: 0.1962 2022/08/26 17:48:38 - mmengine - INFO - Epoch(train) [276][10/63] lr: 1.0000e-05 eta: 21:36:50 time: 10.3669 data_time: 8.8117 memory: 28971 loss_text: 0.1190 loss_kernel: 0.0554 loss: 0.1743 2022/08/26 17:48:45 - mmengine - INFO - Epoch(train) [276][15/63] lr: 1.0000e-05 eta: 21:36:50 time: 1.1561 data_time: 0.0458 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0652 loss: 0.2054 2022/08/26 17:48:50 - mmengine - INFO - Epoch(train) [276][20/63] lr: 1.0000e-05 eta: 21:35:40 time: 1.1393 data_time: 0.0462 memory: 28971 loss_text: 0.1513 loss_kernel: 0.0702 loss: 0.2215 2022/08/26 17:49:02 - mmengine - INFO - Epoch(train) [276][25/63] lr: 1.0000e-05 eta: 21:35:40 time: 1.5886 data_time: 0.0400 memory: 28971 loss_text: 0.1609 loss_kernel: 0.0734 loss: 0.2343 2022/08/26 17:49:09 - mmengine - INFO - Epoch(train) [276][30/63] lr: 1.0000e-05 eta: 21:34:40 time: 1.9152 data_time: 0.1032 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0641 loss: 0.2029 2022/08/26 17:49:15 - mmengine - INFO - Epoch(train) [276][35/63] lr: 1.0000e-05 eta: 21:34:40 time: 1.3063 data_time: 0.1176 memory: 28971 loss_text: 0.1198 loss_kernel: 0.0567 loss: 0.1765 2022/08/26 17:49:27 - mmengine - INFO - Epoch(train) [276][40/63] lr: 1.0000e-05 eta: 21:33:38 time: 1.7622 data_time: 0.1057 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0623 loss: 0.1947 2022/08/26 17:49:34 - mmengine - INFO - Epoch(train) [276][45/63] lr: 1.0000e-05 eta: 21:33:38 time: 2.0045 data_time: 0.1081 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0628 loss: 0.1954 2022/08/26 17:49:43 - mmengine - INFO - Epoch(train) [276][50/63] lr: 1.0000e-05 eta: 21:32:35 time: 1.6393 data_time: 0.0767 memory: 28971 loss_text: 0.0989 loss_kernel: 0.0469 loss: 0.1459 2022/08/26 17:49:52 - mmengine - INFO - Epoch(train) [276][55/63] lr: 1.0000e-05 eta: 21:32:35 time: 1.7760 data_time: 0.0896 memory: 28971 loss_text: 0.0967 loss_kernel: 0.0459 loss: 0.1425 2022/08/26 17:49:58 - mmengine - INFO - Epoch(train) [276][60/63] lr: 1.0000e-05 eta: 21:31:29 time: 1.4824 data_time: 0.0805 memory: 28971 loss_text: 0.1104 loss_kernel: 0.0533 loss: 0.1637 2022/08/26 17:50:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:51:31 - mmengine - INFO - Epoch(train) [277][5/63] lr: 1.0000e-05 eta: 21:31:29 time: 9.4708 data_time: 8.3863 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0627 loss: 0.1976 2022/08/26 17:51:36 - mmengine - INFO - Epoch(train) [277][10/63] lr: 1.0000e-05 eta: 21:31:33 time: 9.4591 data_time: 8.3953 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0631 loss: 0.1970 2022/08/26 17:51:54 - mmengine - INFO - Epoch(train) [277][15/63] lr: 1.0000e-05 eta: 21:31:33 time: 2.2727 data_time: 0.0850 memory: 28971 loss_text: 0.1049 loss_kernel: 0.0520 loss: 0.1569 2022/08/26 17:51:59 - mmengine - INFO - Epoch(train) [277][20/63] lr: 1.0000e-05 eta: 21:30:37 time: 2.2912 data_time: 0.0956 memory: 28971 loss_text: 0.1403 loss_kernel: 0.0654 loss: 0.2057 2022/08/26 17:52:17 - mmengine - INFO - Epoch(train) [277][25/63] lr: 1.0000e-05 eta: 21:30:37 time: 2.2968 data_time: 0.1480 memory: 28971 loss_text: 0.1637 loss_kernel: 0.0743 loss: 0.2380 2022/08/26 17:52:21 - mmengine - INFO - Epoch(train) [277][30/63] lr: 1.0000e-05 eta: 21:29:41 time: 2.2572 data_time: 0.1166 memory: 28971 loss_text: 0.1631 loss_kernel: 0.0748 loss: 0.2379 2022/08/26 17:52:38 - mmengine - INFO - Epoch(train) [277][35/63] lr: 1.0000e-05 eta: 21:29:41 time: 2.1412 data_time: 0.1655 memory: 28971 loss_text: 0.1358 loss_kernel: 0.0631 loss: 0.1989 2022/08/26 17:52:57 - mmengine - INFO - Epoch(train) [277][40/63] lr: 1.0000e-05 eta: 21:29:01 time: 3.5403 data_time: 0.2843 memory: 28971 loss_text: 0.1332 loss_kernel: 0.0615 loss: 0.1947 2022/08/26 17:53:14 - mmengine - INFO - Epoch(train) [277][45/63] lr: 1.0000e-05 eta: 21:29:01 time: 3.6062 data_time: 0.1796 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0683 loss: 0.2171 2022/08/26 17:53:22 - mmengine - INFO - Epoch(train) [277][50/63] lr: 1.0000e-05 eta: 21:28:08 time: 2.5188 data_time: 0.1837 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0644 loss: 0.2019 2022/08/26 17:53:43 - mmengine - INFO - Epoch(train) [277][55/63] lr: 1.0000e-05 eta: 21:28:08 time: 2.7996 data_time: 0.1420 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0704 loss: 0.2196 2022/08/26 17:54:07 - mmengine - INFO - Epoch(train) [277][60/63] lr: 1.0000e-05 eta: 21:27:37 time: 4.4520 data_time: 0.2014 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0687 loss: 0.2152 2022/08/26 17:54:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 17:56:14 - mmengine - INFO - Epoch(train) [278][5/63] lr: 1.0000e-05 eta: 21:27:37 time: 14.5950 data_time: 10.1659 memory: 28971 loss_text: 0.1714 loss_kernel: 0.0774 loss: 0.2487 2022/08/26 17:56:31 - mmengine - INFO - Epoch(train) [278][10/63] lr: 1.0000e-05 eta: 21:28:30 time: 13.6898 data_time: 10.0398 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0680 loss: 0.2149 2022/08/26 17:56:38 - mmengine - INFO - Epoch(train) [278][15/63] lr: 1.0000e-05 eta: 21:28:30 time: 2.4471 data_time: 0.2962 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0582 loss: 0.1802 2022/08/26 17:56:43 - mmengine - INFO - Epoch(train) [278][20/63] lr: 1.0000e-05 eta: 21:27:23 time: 1.2709 data_time: 0.2663 memory: 28971 loss_text: 0.1275 loss_kernel: 0.0602 loss: 0.1877 2022/08/26 17:57:04 - mmengine - INFO - Epoch(train) [278][25/63] lr: 1.0000e-05 eta: 21:27:23 time: 2.5844 data_time: 0.1794 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0643 loss: 0.2012 2022/08/26 17:57:10 - mmengine - INFO - Epoch(train) [278][30/63] lr: 1.0000e-05 eta: 21:26:31 time: 2.6040 data_time: 0.1743 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0751 loss: 0.2363 2022/08/26 17:57:32 - mmengine - INFO - Epoch(train) [278][35/63] lr: 1.0000e-05 eta: 21:26:31 time: 2.8050 data_time: 0.2693 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0777 loss: 0.2450 2022/08/26 17:57:45 - mmengine - INFO - Epoch(train) [278][40/63] lr: 1.0000e-05 eta: 21:25:49 time: 3.4993 data_time: 0.2783 memory: 28971 loss_text: 0.1519 loss_kernel: 0.0693 loss: 0.2212 2022/08/26 17:57:56 - mmengine - INFO - Epoch(train) [278][45/63] lr: 1.0000e-05 eta: 21:25:49 time: 2.4205 data_time: 0.2963 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0602 loss: 0.1917 2022/08/26 17:58:19 - mmengine - INFO - Epoch(train) [278][50/63] lr: 1.0000e-05 eta: 21:25:08 time: 3.4992 data_time: 0.4108 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0554 loss: 0.1713 2022/08/26 17:58:24 - mmengine - INFO - Epoch(train) [278][55/63] lr: 1.0000e-05 eta: 21:25:08 time: 2.7322 data_time: 0.2126 memory: 28971 loss_text: 0.1184 loss_kernel: 0.0557 loss: 0.1741 2022/08/26 17:58:42 - mmengine - INFO - Epoch(train) [278][60/63] lr: 1.0000e-05 eta: 21:24:13 time: 2.3512 data_time: 0.0984 memory: 28971 loss_text: 0.1037 loss_kernel: 0.0491 loss: 0.1529 2022/08/26 17:58:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:00:42 - mmengine - INFO - Epoch(train) [279][5/63] lr: 1.0000e-05 eta: 21:24:13 time: 13.5114 data_time: 9.8444 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0619 loss: 0.1963 2022/08/26 18:01:16 - mmengine - INFO - Epoch(train) [279][10/63] lr: 1.0000e-05 eta: 21:25:19 time: 14.9535 data_time: 10.0410 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0608 loss: 0.1897 2022/08/26 18:01:20 - mmengine - INFO - Epoch(train) [279][15/63] lr: 1.0000e-05 eta: 21:25:19 time: 3.8239 data_time: 0.2575 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0620 loss: 0.1931 2022/08/26 18:01:55 - mmengine - INFO - Epoch(train) [279][20/63] lr: 1.0000e-05 eta: 21:24:42 time: 3.8716 data_time: 0.3184 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0634 loss: 0.1994 2022/08/26 18:02:12 - mmengine - INFO - Epoch(train) [279][25/63] lr: 1.0000e-05 eta: 21:24:42 time: 5.2047 data_time: 0.3895 memory: 28971 loss_text: 0.1306 loss_kernel: 0.0607 loss: 0.1913 2022/08/26 18:02:22 - mmengine - INFO - Epoch(train) [279][30/63] lr: 1.0000e-05 eta: 21:23:53 time: 2.8025 data_time: 0.2152 memory: 28971 loss_text: 0.1090 loss_kernel: 0.0528 loss: 0.1618 2022/08/26 18:02:29 - mmengine - INFO - Epoch(train) [279][35/63] lr: 1.0000e-05 eta: 21:23:53 time: 1.5743 data_time: 0.1210 memory: 28971 loss_text: 0.1210 loss_kernel: 0.0573 loss: 0.1783 2022/08/26 18:02:45 - mmengine - INFO - Epoch(train) [279][40/63] lr: 1.0000e-05 eta: 21:22:57 time: 2.2920 data_time: 0.1539 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0695 loss: 0.2201 2022/08/26 18:02:53 - mmengine - INFO - Epoch(train) [279][45/63] lr: 1.0000e-05 eta: 21:22:57 time: 2.4133 data_time: 0.2091 memory: 28971 loss_text: 0.1713 loss_kernel: 0.0792 loss: 0.2505 2022/08/26 18:03:12 - mmengine - INFO - Epoch(train) [279][50/63] lr: 1.0000e-05 eta: 21:22:06 time: 2.6833 data_time: 0.3042 memory: 28971 loss_text: 0.1597 loss_kernel: 0.0738 loss: 0.2335 2022/08/26 18:03:33 - mmengine - INFO - Epoch(train) [279][55/63] lr: 1.0000e-05 eta: 21:22:06 time: 4.0362 data_time: 0.2842 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0720 loss: 0.2300 2022/08/26 18:03:39 - mmengine - INFO - Epoch(train) [279][60/63] lr: 1.0000e-05 eta: 21:21:16 time: 2.7053 data_time: 0.3072 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0624 loss: 0.1967 2022/08/26 18:04:01 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:06:01 - mmengine - INFO - Epoch(train) [280][5/63] lr: 1.0000e-05 eta: 21:21:16 time: 14.2990 data_time: 10.0601 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0598 loss: 0.1859 2022/08/26 18:06:20 - mmengine - INFO - Epoch(train) [280][10/63] lr: 1.0000e-05 eta: 21:22:08 time: 13.7647 data_time: 10.1187 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0604 loss: 0.1899 2022/08/26 18:06:29 - mmengine - INFO - Epoch(train) [280][15/63] lr: 1.0000e-05 eta: 21:22:08 time: 2.7697 data_time: 0.2364 memory: 28971 loss_text: 0.1003 loss_kernel: 0.0475 loss: 0.1477 2022/08/26 18:06:42 - mmengine - INFO - Epoch(train) [280][20/63] lr: 1.0000e-05 eta: 21:21:13 time: 2.3280 data_time: 0.1982 memory: 28971 loss_text: 0.1255 loss_kernel: 0.0588 loss: 0.1843 2022/08/26 18:07:06 - mmengine - INFO - Epoch(train) [280][25/63] lr: 1.0000e-05 eta: 21:21:13 time: 3.7436 data_time: 0.1993 memory: 28971 loss_text: 0.1521 loss_kernel: 0.0708 loss: 0.2230 2022/08/26 18:07:24 - mmengine - INFO - Epoch(train) [280][30/63] lr: 1.0000e-05 eta: 21:20:39 time: 4.1643 data_time: 0.1833 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0562 loss: 0.1777 2022/08/26 18:07:32 - mmengine - INFO - Epoch(train) [280][35/63] lr: 1.0000e-05 eta: 21:20:39 time: 2.5382 data_time: 0.1729 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0488 loss: 0.1542 2022/08/26 18:07:53 - mmengine - INFO - Epoch(train) [280][40/63] lr: 1.0000e-05 eta: 21:19:50 time: 2.8906 data_time: 0.2052 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0621 loss: 0.1915 2022/08/26 18:07:58 - mmengine - INFO - Epoch(train) [280][45/63] lr: 1.0000e-05 eta: 21:19:50 time: 2.6290 data_time: 0.1831 memory: 28971 loss_text: 0.1708 loss_kernel: 0.0804 loss: 0.2513 2022/08/26 18:08:19 - mmengine - INFO - Epoch(train) [280][50/63] lr: 1.0000e-05 eta: 21:18:58 time: 2.5723 data_time: 0.1598 memory: 28971 loss_text: 0.1694 loss_kernel: 0.0784 loss: 0.2479 2022/08/26 18:08:24 - mmengine - INFO - Epoch(train) [280][55/63] lr: 1.0000e-05 eta: 21:18:58 time: 2.6102 data_time: 0.1020 memory: 28971 loss_text: 0.1355 loss_kernel: 0.0634 loss: 0.1990 2022/08/26 18:08:45 - mmengine - INFO - Epoch(train) [280][60/63] lr: 1.0000e-05 eta: 21:18:06 time: 2.5977 data_time: 0.1862 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0575 loss: 0.1797 2022/08/26 18:08:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:08:49 - mmengine - INFO - Saving checkpoint at 280 epochs 2022/08/26 18:09:44 - mmengine - INFO - Epoch(val) [280][5/500] eta: 21:18:06 time: 4.2613 data_time: 3.3592 memory: 28971 2022/08/26 18:09:45 - mmengine - INFO - Epoch(val) [280][10/500] eta: 0:35:02 time: 4.2914 data_time: 3.3998 memory: 3207 2022/08/26 18:09:46 - mmengine - INFO - Epoch(val) [280][15/500] eta: 0:35:02 time: 0.1935 data_time: 0.0926 memory: 3207 2022/08/26 18:09:46 - mmengine - INFO - Epoch(val) [280][20/500] eta: 0:00:53 time: 0.1125 data_time: 0.0024 memory: 3207 2022/08/26 18:09:47 - mmengine - INFO - Epoch(val) [280][25/500] eta: 0:00:53 time: 0.1159 data_time: 0.0044 memory: 3207 2022/08/26 18:09:47 - mmengine - INFO - Epoch(val) [280][30/500] eta: 0:00:45 time: 0.0973 data_time: 0.0046 memory: 3207 2022/08/26 18:09:48 - mmengine - INFO - Epoch(val) [280][35/500] eta: 0:00:45 time: 0.0943 data_time: 0.0028 memory: 3207 2022/08/26 18:09:48 - mmengine - INFO - Epoch(val) [280][40/500] eta: 0:00:40 time: 0.0886 data_time: 0.0025 memory: 3207 2022/08/26 18:09:49 - mmengine - INFO - Epoch(val) [280][45/500] eta: 0:00:40 time: 0.1086 data_time: 0.0024 memory: 3207 2022/08/26 18:09:49 - mmengine - INFO - Epoch(val) [280][50/500] eta: 0:00:46 time: 0.1040 data_time: 0.0025 memory: 3207 2022/08/26 18:09:50 - mmengine - INFO - Epoch(val) [280][55/500] eta: 0:00:46 time: 0.0859 data_time: 0.0028 memory: 3207 2022/08/26 18:09:50 - mmengine - INFO - Epoch(val) [280][60/500] eta: 0:00:37 time: 0.0842 data_time: 0.0028 memory: 3207 2022/08/26 18:10:01 - mmengine - INFO - Epoch(val) [280][65/500] eta: 0:00:37 time: 1.1404 data_time: 0.0103 memory: 3207 2022/08/26 18:10:02 - mmengine - INFO - Epoch(val) [280][70/500] eta: 0:08:26 time: 1.1785 data_time: 0.0451 memory: 3207 2022/08/26 18:10:02 - mmengine - INFO - Epoch(val) [280][75/500] eta: 0:08:26 time: 0.1280 data_time: 0.0375 memory: 3207 2022/08/26 18:10:03 - mmengine - INFO - Epoch(val) [280][80/500] eta: 0:00:37 time: 0.0904 data_time: 0.0026 memory: 3207 2022/08/26 18:10:03 - mmengine - INFO - Epoch(val) [280][85/500] eta: 0:00:37 time: 0.0798 data_time: 0.0025 memory: 3207 2022/08/26 18:10:04 - mmengine - INFO - Epoch(val) [280][90/500] eta: 0:00:34 time: 0.0834 data_time: 0.0024 memory: 3207 2022/08/26 18:10:04 - mmengine - INFO - Epoch(val) [280][95/500] eta: 0:00:34 time: 0.1298 data_time: 0.0024 memory: 3207 2022/08/26 18:10:05 - mmengine - INFO - Epoch(val) [280][100/500] eta: 0:00:58 time: 0.1467 data_time: 0.0237 memory: 3207 2022/08/26 18:10:05 - mmengine - INFO - Epoch(val) [280][105/500] eta: 0:00:58 time: 0.1021 data_time: 0.0236 memory: 3207 2022/08/26 18:10:06 - mmengine - INFO - Epoch(val) [280][110/500] eta: 0:00:34 time: 0.0885 data_time: 0.0094 memory: 3207 2022/08/26 18:10:07 - mmengine - INFO - Epoch(val) [280][115/500] eta: 0:00:34 time: 0.1137 data_time: 0.0111 memory: 3207 2022/08/26 18:10:07 - mmengine - INFO - Epoch(val) [280][120/500] eta: 0:00:41 time: 0.1085 data_time: 0.0042 memory: 3207 2022/08/26 18:10:07 - mmengine - INFO - Epoch(val) [280][125/500] eta: 0:00:41 time: 0.0838 data_time: 0.0025 memory: 3207 2022/08/26 18:10:08 - mmengine - INFO - Epoch(val) [280][130/500] eta: 0:00:30 time: 0.0816 data_time: 0.0023 memory: 3207 2022/08/26 18:10:08 - mmengine - INFO - Epoch(val) [280][135/500] eta: 0:00:30 time: 0.0904 data_time: 0.0023 memory: 3207 2022/08/26 18:10:17 - mmengine - INFO - Epoch(val) [280][140/500] eta: 0:05:43 time: 0.9532 data_time: 0.0040 memory: 3207 2022/08/26 18:10:20 - mmengine - INFO - Epoch(val) [280][145/500] eta: 0:05:43 time: 1.1896 data_time: 0.0527 memory: 3207 2022/08/26 18:10:21 - mmengine - INFO - Epoch(val) [280][150/500] eta: 0:01:54 time: 0.3277 data_time: 0.0511 memory: 3207 2022/08/26 18:10:21 - mmengine - INFO - Epoch(val) [280][155/500] eta: 0:01:54 time: 0.0891 data_time: 0.0025 memory: 3207 2022/08/26 18:10:22 - mmengine - INFO - Epoch(val) [280][160/500] eta: 0:00:31 time: 0.0926 data_time: 0.0047 memory: 3207 2022/08/26 18:10:22 - mmengine - INFO - Epoch(val) [280][165/500] eta: 0:00:31 time: 0.0903 data_time: 0.0048 memory: 3207 2022/08/26 18:10:22 - mmengine - INFO - Epoch(val) [280][170/500] eta: 0:00:29 time: 0.0886 data_time: 0.0029 memory: 3207 2022/08/26 18:10:23 - mmengine - INFO - Epoch(val) [280][175/500] eta: 0:00:29 time: 0.0837 data_time: 0.0028 memory: 3207 2022/08/26 18:10:23 - mmengine - INFO - Epoch(val) [280][180/500] eta: 0:00:27 time: 0.0850 data_time: 0.0026 memory: 3207 2022/08/26 18:10:24 - mmengine - INFO - Epoch(val) [280][185/500] eta: 0:00:27 time: 0.0951 data_time: 0.0026 memory: 3207 2022/08/26 18:10:25 - mmengine - INFO - Epoch(val) [280][190/500] eta: 0:01:00 time: 0.1959 data_time: 0.0313 memory: 3207 2022/08/26 18:10:26 - mmengine - INFO - Epoch(val) [280][195/500] eta: 0:01:00 time: 0.2045 data_time: 0.0315 memory: 3207 2022/08/26 18:10:26 - mmengine - INFO - Epoch(val) [280][200/500] eta: 0:00:32 time: 0.1081 data_time: 0.0028 memory: 3207 2022/08/26 18:10:27 - mmengine - INFO - Epoch(val) [280][205/500] eta: 0:00:32 time: 0.0896 data_time: 0.0026 memory: 3207 2022/08/26 18:10:27 - mmengine - INFO - Epoch(val) [280][210/500] eta: 0:00:23 time: 0.0811 data_time: 0.0026 memory: 3207 2022/08/26 18:10:28 - mmengine - INFO - Epoch(val) [280][215/500] eta: 0:00:23 time: 0.1247 data_time: 0.0133 memory: 3207 2022/08/26 18:10:29 - mmengine - INFO - Epoch(val) [280][220/500] eta: 0:00:37 time: 0.1347 data_time: 0.0151 memory: 3207 2022/08/26 18:10:30 - mmengine - INFO - Epoch(val) [280][225/500] eta: 0:00:37 time: 0.1879 data_time: 0.0044 memory: 3207 2022/08/26 18:10:37 - mmengine - INFO - Epoch(val) [280][230/500] eta: 0:03:32 time: 0.7869 data_time: 0.0695 memory: 3207 2022/08/26 18:10:37 - mmengine - INFO - Epoch(val) [280][235/500] eta: 0:03:32 time: 0.7156 data_time: 0.0934 memory: 3207 2022/08/26 18:10:38 - mmengine - INFO - Epoch(val) [280][240/500] eta: 0:00:28 time: 0.1099 data_time: 0.0267 memory: 3207 2022/08/26 18:10:39 - mmengine - INFO - Epoch(val) [280][245/500] eta: 0:00:28 time: 0.1618 data_time: 0.0336 memory: 3207 2022/08/26 18:10:39 - mmengine - INFO - Epoch(val) [280][250/500] eta: 0:00:40 time: 0.1636 data_time: 0.0355 memory: 3207 2022/08/26 18:10:41 - mmengine - INFO - Epoch(val) [280][255/500] eta: 0:00:40 time: 0.2438 data_time: 0.0557 memory: 3207 2022/08/26 18:10:42 - mmengine - INFO - Epoch(val) [280][260/500] eta: 0:00:58 time: 0.2457 data_time: 0.0555 memory: 3207 2022/08/26 18:10:42 - mmengine - INFO - Epoch(val) [280][265/500] eta: 0:00:58 time: 0.0959 data_time: 0.0122 memory: 3207 2022/08/26 18:10:43 - mmengine - INFO - Epoch(val) [280][270/500] eta: 0:00:20 time: 0.0900 data_time: 0.0101 memory: 3207 2022/08/26 18:10:43 - mmengine - INFO - Epoch(val) [280][275/500] eta: 0:00:20 time: 0.0862 data_time: 0.0041 memory: 3207 2022/08/26 18:10:43 - mmengine - INFO - Epoch(val) [280][280/500] eta: 0:00:19 time: 0.0888 data_time: 0.0041 memory: 3207 2022/08/26 18:10:44 - mmengine - INFO - Epoch(val) [280][285/500] eta: 0:00:19 time: 0.0841 data_time: 0.0023 memory: 3207 2022/08/26 18:10:44 - mmengine - INFO - Epoch(val) [280][290/500] eta: 0:00:17 time: 0.0838 data_time: 0.0024 memory: 3207 2022/08/26 18:10:45 - mmengine - INFO - Epoch(val) [280][295/500] eta: 0:00:17 time: 0.0874 data_time: 0.0027 memory: 3207 2022/08/26 18:10:45 - mmengine - INFO - Epoch(val) [280][300/500] eta: 0:00:17 time: 0.0856 data_time: 0.0027 memory: 3207 2022/08/26 18:10:56 - mmengine - INFO - Epoch(val) [280][305/500] eta: 0:00:17 time: 1.1175 data_time: 0.1123 memory: 3207 2022/08/26 18:10:57 - mmengine - INFO - Epoch(val) [280][310/500] eta: 0:03:37 time: 1.1458 data_time: 0.1149 memory: 3207 2022/08/26 18:10:57 - mmengine - INFO - Epoch(val) [280][315/500] eta: 0:03:37 time: 0.1183 data_time: 0.0075 memory: 3207 2022/08/26 18:10:57 - mmengine - INFO - Epoch(val) [280][320/500] eta: 0:00:15 time: 0.0888 data_time: 0.0050 memory: 3207 2022/08/26 18:10:58 - mmengine - INFO - Epoch(val) [280][325/500] eta: 0:00:15 time: 0.0966 data_time: 0.0028 memory: 3207 2022/08/26 18:10:58 - mmengine - INFO - Epoch(val) [280][330/500] eta: 0:00:17 time: 0.1059 data_time: 0.0125 memory: 3207 2022/08/26 18:10:59 - mmengine - INFO - Epoch(val) [280][335/500] eta: 0:00:17 time: 0.0952 data_time: 0.0122 memory: 3207 2022/08/26 18:11:00 - mmengine - INFO - Epoch(val) [280][340/500] eta: 0:00:21 time: 0.1363 data_time: 0.0024 memory: 3207 2022/08/26 18:11:00 - mmengine - INFO - Epoch(val) [280][345/500] eta: 0:00:21 time: 0.1326 data_time: 0.0023 memory: 3207 2022/08/26 18:11:01 - mmengine - INFO - Epoch(val) [280][350/500] eta: 0:00:17 time: 0.1191 data_time: 0.0149 memory: 3207 2022/08/26 18:11:02 - mmengine - INFO - Epoch(val) [280][355/500] eta: 0:00:17 time: 0.2014 data_time: 0.0211 memory: 3207 2022/08/26 18:11:03 - mmengine - INFO - Epoch(val) [280][360/500] eta: 0:00:33 time: 0.2376 data_time: 0.0796 memory: 3207 2022/08/26 18:11:04 - mmengine - INFO - Epoch(val) [280][365/500] eta: 0:00:33 time: 0.1551 data_time: 0.0734 memory: 3207 2022/08/26 18:11:04 - mmengine - INFO - Epoch(val) [280][370/500] eta: 0:00:10 time: 0.0801 data_time: 0.0023 memory: 3207 2022/08/26 18:11:05 - mmengine - INFO - Epoch(val) [280][375/500] eta: 0:00:10 time: 0.0789 data_time: 0.0023 memory: 3207 2022/08/26 18:11:05 - mmengine - INFO - Epoch(val) [280][380/500] eta: 0:00:10 time: 0.0842 data_time: 0.0025 memory: 3207 2022/08/26 18:11:05 - mmengine - INFO - Epoch(val) [280][385/500] eta: 0:00:10 time: 0.0860 data_time: 0.0027 memory: 3207 2022/08/26 18:11:10 - mmengine - INFO - Epoch(val) [280][390/500] eta: 0:00:54 time: 0.4993 data_time: 0.0025 memory: 3207 2022/08/26 18:11:17 - mmengine - INFO - Epoch(val) [280][395/500] eta: 0:00:54 time: 1.1104 data_time: 0.0228 memory: 3207 2022/08/26 18:11:17 - mmengine - INFO - Epoch(val) [280][400/500] eta: 0:01:09 time: 0.6939 data_time: 0.0228 memory: 3207 2022/08/26 18:11:17 - mmengine - INFO - Epoch(val) [280][405/500] eta: 0:01:09 time: 0.0827 data_time: 0.0024 memory: 3207 2022/08/26 18:11:18 - mmengine - INFO - Epoch(val) [280][410/500] eta: 0:00:08 time: 0.0902 data_time: 0.0056 memory: 3207 2022/08/26 18:11:18 - mmengine - INFO - Epoch(val) [280][415/500] eta: 0:00:08 time: 0.0915 data_time: 0.0060 memory: 3207 2022/08/26 18:11:19 - mmengine - INFO - Epoch(val) [280][420/500] eta: 0:00:06 time: 0.0833 data_time: 0.0027 memory: 3207 2022/08/26 18:11:19 - mmengine - INFO - Epoch(val) [280][425/500] eta: 0:00:06 time: 0.0891 data_time: 0.0024 memory: 3207 2022/08/26 18:11:20 - mmengine - INFO - Epoch(val) [280][430/500] eta: 0:00:06 time: 0.0908 data_time: 0.0024 memory: 3207 2022/08/26 18:11:20 - mmengine - INFO - Epoch(val) [280][435/500] eta: 0:00:06 time: 0.0843 data_time: 0.0027 memory: 3207 2022/08/26 18:11:21 - mmengine - INFO - Epoch(val) [280][440/500] eta: 0:00:05 time: 0.0971 data_time: 0.0110 memory: 3207 2022/08/26 18:11:21 - mmengine - INFO - Epoch(val) [280][445/500] eta: 0:00:05 time: 0.1156 data_time: 0.0222 memory: 3207 2022/08/26 18:11:22 - mmengine - INFO - Epoch(val) [280][450/500] eta: 0:00:05 time: 0.1041 data_time: 0.0138 memory: 3207 2022/08/26 18:11:22 - mmengine - INFO - Epoch(val) [280][455/500] eta: 0:00:05 time: 0.0853 data_time: 0.0024 memory: 3207 2022/08/26 18:11:22 - mmengine - INFO - Epoch(val) [280][460/500] eta: 0:00:03 time: 0.0812 data_time: 0.0024 memory: 3207 2022/08/26 18:11:23 - mmengine - INFO - Epoch(val) [280][465/500] eta: 0:00:03 time: 0.0856 data_time: 0.0025 memory: 3207 2022/08/26 18:11:23 - mmengine - INFO - Epoch(val) [280][470/500] eta: 0:00:02 time: 0.0870 data_time: 0.0024 memory: 3207 2022/08/26 18:11:24 - mmengine - INFO - Epoch(val) [280][475/500] eta: 0:00:02 time: 0.0803 data_time: 0.0023 memory: 3207 2022/08/26 18:11:24 - mmengine - INFO - Epoch(val) [280][480/500] eta: 0:00:01 time: 0.0806 data_time: 0.0024 memory: 3207 2022/08/26 18:11:25 - mmengine - INFO - Epoch(val) [280][485/500] eta: 0:00:01 time: 0.0819 data_time: 0.0024 memory: 3207 2022/08/26 18:11:25 - mmengine - INFO - Epoch(val) [280][490/500] eta: 0:00:00 time: 0.0842 data_time: 0.0023 memory: 3207 2022/08/26 18:11:35 - mmengine - INFO - Epoch(val) [280][495/500] eta: 0:00:00 time: 1.0142 data_time: 0.0072 memory: 3207 2022/08/26 18:11:35 - mmengine - INFO - Epoch(val) [280][500/500] eta: 0:00:00 time: 1.0277 data_time: 0.0242 memory: 3207 2022/08/26 18:11:36 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 18:11:36 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7915, precision: 0.6360, hmean: 0.7053 2022/08/26 18:11:36 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7915, precision: 0.6360, hmean: 0.7053 2022/08/26 18:11:36 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7915, precision: 0.6360, hmean: 0.7053 2022/08/26 18:11:36 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7915, precision: 0.6721, hmean: 0.7270 2022/08/26 18:11:36 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7910, precision: 0.7232, hmean: 0.7556 2022/08/26 18:11:36 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7867, precision: 0.7718, hmean: 0.7792 2022/08/26 18:11:36 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7641, precision: 0.8375, hmean: 0.7991 2022/08/26 18:11:36 - mmengine - INFO - Epoch(val) [280][500/500] icdar/precision: 0.8375 icdar/recall: 0.7641 icdar/hmean: 0.7991 2022/08/26 18:13:22 - mmengine - INFO - Epoch(train) [281][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 11.2650 data_time: 9.5936 memory: 28971 loss_text: 0.1318 loss_kernel: 0.0630 loss: 0.1949 2022/08/26 18:13:27 - mmengine - INFO - Epoch(train) [281][10/63] lr: 1.0000e-05 eta: 21:18:27 time: 11.1443 data_time: 9.5586 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0625 loss: 0.1933 2022/08/26 18:13:44 - mmengine - INFO - Epoch(train) [281][15/63] lr: 1.0000e-05 eta: 21:18:27 time: 2.1967 data_time: 0.1277 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0589 loss: 0.1836 2022/08/26 18:14:01 - mmengine - INFO - Epoch(train) [281][20/63] lr: 1.0000e-05 eta: 21:17:45 time: 3.3826 data_time: 0.1741 memory: 28971 loss_text: 0.1136 loss_kernel: 0.0541 loss: 0.1677 2022/08/26 18:14:13 - mmengine - INFO - Epoch(train) [281][25/63] lr: 1.0000e-05 eta: 21:17:45 time: 2.9173 data_time: 0.2369 memory: 28971 loss_text: 0.0772 loss_kernel: 0.0388 loss: 0.1160 2022/08/26 18:14:30 - mmengine - INFO - Epoch(train) [281][30/63] lr: 1.0000e-05 eta: 21:16:55 time: 2.8353 data_time: 0.1597 memory: 28971 loss_text: 0.1056 loss_kernel: 0.0509 loss: 0.1565 2022/08/26 18:14:35 - mmengine - INFO - Epoch(train) [281][35/63] lr: 1.0000e-05 eta: 21:16:55 time: 2.1902 data_time: 0.1368 memory: 28971 loss_text: 0.1396 loss_kernel: 0.0640 loss: 0.2037 2022/08/26 18:14:56 - mmengine - INFO - Epoch(train) [281][40/63] lr: 1.0000e-05 eta: 21:16:04 time: 2.5877 data_time: 0.1514 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0596 loss: 0.1890 2022/08/26 18:15:01 - mmengine - INFO - Epoch(train) [281][45/63] lr: 1.0000e-05 eta: 21:16:04 time: 2.5432 data_time: 0.0990 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0635 loss: 0.2008 2022/08/26 18:15:24 - mmengine - INFO - Epoch(train) [281][50/63] lr: 1.0000e-05 eta: 21:15:15 time: 2.8903 data_time: 0.1475 memory: 28971 loss_text: 0.1439 loss_kernel: 0.0667 loss: 0.2106 2022/08/26 18:15:42 - mmengine - INFO - Epoch(train) [281][55/63] lr: 1.0000e-05 eta: 21:15:15 time: 3.9749 data_time: 0.1356 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0606 loss: 0.1886 2022/08/26 18:15:51 - mmengine - INFO - Epoch(train) [281][60/63] lr: 1.0000e-05 eta: 21:14:25 time: 2.7083 data_time: 0.3143 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0617 loss: 0.1918 2022/08/26 18:15:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:17:52 - mmengine - INFO - Epoch(train) [282][5/63] lr: 1.0000e-05 eta: 21:14:25 time: 12.1847 data_time: 9.6277 memory: 28971 loss_text: 0.1473 loss_kernel: 0.0695 loss: 0.2168 2022/08/26 18:18:12 - mmengine - INFO - Epoch(train) [282][10/63] lr: 1.0000e-05 eta: 21:15:12 time: 13.4486 data_time: 9.6442 memory: 28971 loss_text: 0.1257 loss_kernel: 0.0593 loss: 0.1850 2022/08/26 18:18:22 - mmengine - INFO - Epoch(train) [282][15/63] lr: 1.0000e-05 eta: 21:15:12 time: 3.0494 data_time: 0.2155 memory: 28971 loss_text: 0.1234 loss_kernel: 0.0580 loss: 0.1814 2022/08/26 18:18:40 - mmengine - INFO - Epoch(train) [282][20/63] lr: 1.0000e-05 eta: 21:14:23 time: 2.8640 data_time: 0.2096 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0684 loss: 0.2143 2022/08/26 18:18:52 - mmengine - INFO - Epoch(train) [282][25/63] lr: 1.0000e-05 eta: 21:14:23 time: 2.9642 data_time: 0.1739 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0628 loss: 0.1955 2022/08/26 18:19:13 - mmengine - INFO - Epoch(train) [282][30/63] lr: 1.0000e-05 eta: 21:13:39 time: 3.2955 data_time: 0.1781 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0702 loss: 0.2210 2022/08/26 18:19:18 - mmengine - INFO - Epoch(train) [282][35/63] lr: 1.0000e-05 eta: 21:13:39 time: 2.5920 data_time: 0.1094 memory: 28971 loss_text: 0.1709 loss_kernel: 0.0788 loss: 0.2497 2022/08/26 18:19:36 - mmengine - INFO - Epoch(train) [282][40/63] lr: 1.0000e-05 eta: 21:12:45 time: 2.3749 data_time: 0.0861 memory: 28971 loss_text: 0.1599 loss_kernel: 0.0739 loss: 0.2338 2022/08/26 18:19:42 - mmengine - INFO - Epoch(train) [282][45/63] lr: 1.0000e-05 eta: 21:12:45 time: 2.4179 data_time: 0.0951 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0726 loss: 0.2296 2022/08/26 18:20:02 - mmengine - INFO - Epoch(train) [282][50/63] lr: 1.0000e-05 eta: 21:11:52 time: 2.5128 data_time: 0.1679 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0606 loss: 0.1903 2022/08/26 18:20:26 - mmengine - INFO - Epoch(train) [282][55/63] lr: 1.0000e-05 eta: 21:11:52 time: 4.3328 data_time: 0.2032 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0536 loss: 0.1701 2022/08/26 18:20:48 - mmengine - INFO - Epoch(train) [282][60/63] lr: 1.0000e-05 eta: 21:11:23 time: 4.6103 data_time: 0.3142 memory: 28971 loss_text: 0.1015 loss_kernel: 0.0480 loss: 0.1495 2022/08/26 18:21:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:23:01 - mmengine - INFO - Epoch(train) [283][5/63] lr: 1.0000e-05 eta: 21:11:23 time: 14.9005 data_time: 9.6595 memory: 28971 loss_text: 0.1143 loss_kernel: 0.0546 loss: 0.1690 2022/08/26 18:23:18 - mmengine - INFO - Epoch(train) [283][10/63] lr: 1.0000e-05 eta: 21:12:01 time: 12.7444 data_time: 9.5103 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0607 loss: 0.1912 2022/08/26 18:23:27 - mmengine - INFO - Epoch(train) [283][15/63] lr: 1.0000e-05 eta: 21:12:01 time: 2.6375 data_time: 0.1375 memory: 28971 loss_text: 0.1499 loss_kernel: 0.0694 loss: 0.2194 2022/08/26 18:23:32 - mmengine - INFO - Epoch(train) [283][20/63] lr: 1.0000e-05 eta: 21:10:56 time: 1.4302 data_time: 0.0996 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0728 loss: 0.2281 2022/08/26 18:23:52 - mmengine - INFO - Epoch(train) [283][25/63] lr: 1.0000e-05 eta: 21:10:56 time: 2.5333 data_time: 0.1600 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0681 loss: 0.2138 2022/08/26 18:24:01 - mmengine - INFO - Epoch(train) [283][30/63] lr: 1.0000e-05 eta: 21:10:07 time: 2.8605 data_time: 0.1543 memory: 28971 loss_text: 0.1479 loss_kernel: 0.0676 loss: 0.2155 2022/08/26 18:24:13 - mmengine - INFO - Epoch(train) [283][35/63] lr: 1.0000e-05 eta: 21:10:07 time: 2.0472 data_time: 0.1253 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0636 loss: 0.2016 2022/08/26 18:24:31 - mmengine - INFO - Epoch(train) [283][40/63] lr: 1.0000e-05 eta: 21:09:21 time: 3.0578 data_time: 0.1653 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0619 loss: 0.1947 2022/08/26 18:24:49 - mmengine - INFO - Epoch(train) [283][45/63] lr: 1.0000e-05 eta: 21:09:21 time: 3.5685 data_time: 0.2369 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0599 loss: 0.1871 2022/08/26 18:24:55 - mmengine - INFO - Epoch(train) [283][50/63] lr: 1.0000e-05 eta: 21:08:27 time: 2.3876 data_time: 0.2649 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0609 loss: 0.1902 2022/08/26 18:25:18 - mmengine - INFO - Epoch(train) [283][55/63] lr: 1.0000e-05 eta: 21:08:27 time: 2.8798 data_time: 0.3253 memory: 28971 loss_text: 0.1325 loss_kernel: 0.0627 loss: 0.1952 2022/08/26 18:25:42 - mmengine - INFO - Epoch(train) [283][60/63] lr: 1.0000e-05 eta: 21:07:58 time: 4.6679 data_time: 0.4452 memory: 28971 loss_text: 0.1204 loss_kernel: 0.0573 loss: 0.1777 2022/08/26 18:25:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:27:52 - mmengine - INFO - Epoch(train) [284][5/63] lr: 1.0000e-05 eta: 21:07:58 time: 13.1971 data_time: 10.6417 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0677 loss: 0.2132 2022/08/26 18:28:14 - mmengine - INFO - Epoch(train) [284][10/63] lr: 1.0000e-05 eta: 21:08:58 time: 14.7346 data_time: 10.6811 memory: 28971 loss_text: 0.1282 loss_kernel: 0.0595 loss: 0.1877 2022/08/26 18:28:18 - mmengine - INFO - Epoch(train) [284][15/63] lr: 1.0000e-05 eta: 21:08:58 time: 2.6154 data_time: 0.1857 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0639 loss: 0.2004 2022/08/26 18:28:35 - mmengine - INFO - Epoch(train) [284][20/63] lr: 1.0000e-05 eta: 21:08:01 time: 2.0670 data_time: 0.1732 memory: 28971 loss_text: 0.1518 loss_kernel: 0.0705 loss: 0.2223 2022/08/26 18:28:39 - mmengine - INFO - Epoch(train) [284][25/63] lr: 1.0000e-05 eta: 21:08:01 time: 2.1127 data_time: 0.2108 memory: 28971 loss_text: 0.1648 loss_kernel: 0.0756 loss: 0.2404 2022/08/26 18:28:57 - mmengine - INFO - Epoch(train) [284][30/63] lr: 1.0000e-05 eta: 21:07:05 time: 2.2028 data_time: 0.1395 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0650 loss: 0.2058 2022/08/26 18:29:02 - mmengine - INFO - Epoch(train) [284][35/63] lr: 1.0000e-05 eta: 21:07:05 time: 2.2691 data_time: 0.1853 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0608 loss: 0.1911 2022/08/26 18:29:23 - mmengine - INFO - Epoch(train) [284][40/63] lr: 1.0000e-05 eta: 21:06:13 time: 2.5980 data_time: 0.1423 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0622 loss: 0.1938 2022/08/26 18:29:29 - mmengine - INFO - Epoch(train) [284][45/63] lr: 1.0000e-05 eta: 21:06:13 time: 2.6645 data_time: 0.1254 memory: 28971 loss_text: 0.1145 loss_kernel: 0.0553 loss: 0.1698 2022/08/26 18:29:47 - mmengine - INFO - Epoch(train) [284][50/63] lr: 1.0000e-05 eta: 21:05:20 time: 2.4437 data_time: 0.3138 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0596 loss: 0.1863 2022/08/26 18:30:03 - mmengine - INFO - Epoch(train) [284][55/63] lr: 1.0000e-05 eta: 21:05:20 time: 3.4033 data_time: 0.3005 memory: 28971 loss_text: 0.1237 loss_kernel: 0.0574 loss: 0.1811 2022/08/26 18:30:12 - mmengine - INFO - Epoch(train) [284][60/63] lr: 1.0000e-05 eta: 21:04:27 time: 2.4857 data_time: 0.2526 memory: 28971 loss_text: 0.1194 loss_kernel: 0.0556 loss: 0.1750 2022/08/26 18:30:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:32:32 - mmengine - INFO - Epoch(train) [285][5/63] lr: 1.0000e-05 eta: 21:04:27 time: 14.1251 data_time: 10.2714 memory: 28971 loss_text: 0.1707 loss_kernel: 0.0782 loss: 0.2489 2022/08/26 18:32:41 - mmengine - INFO - Epoch(train) [285][10/63] lr: 1.0000e-05 eta: 21:05:06 time: 12.9453 data_time: 10.3137 memory: 28971 loss_text: 0.1823 loss_kernel: 0.0833 loss: 0.2657 2022/08/26 18:32:57 - mmengine - INFO - Epoch(train) [285][15/63] lr: 1.0000e-05 eta: 21:05:06 time: 2.4336 data_time: 0.0968 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0616 loss: 0.1903 2022/08/26 18:33:01 - mmengine - INFO - Epoch(train) [285][20/63] lr: 1.0000e-05 eta: 21:04:09 time: 2.0860 data_time: 0.1118 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0510 loss: 0.1564 2022/08/26 18:33:20 - mmengine - INFO - Epoch(train) [285][25/63] lr: 1.0000e-05 eta: 21:04:09 time: 2.3555 data_time: 0.1340 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0685 loss: 0.2146 2022/08/26 18:33:25 - mmengine - INFO - Epoch(train) [285][30/63] lr: 1.0000e-05 eta: 21:03:15 time: 2.3703 data_time: 0.1360 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0737 loss: 0.2334 2022/08/26 18:33:44 - mmengine - INFO - Epoch(train) [285][35/63] lr: 1.0000e-05 eta: 21:03:15 time: 2.3989 data_time: 0.1140 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0601 loss: 0.1884 2022/08/26 18:33:49 - mmengine - INFO - Epoch(train) [285][40/63] lr: 1.0000e-05 eta: 21:02:20 time: 2.3717 data_time: 0.0742 memory: 28971 loss_text: 0.1085 loss_kernel: 0.0523 loss: 0.1607 2022/08/26 18:34:13 - mmengine - INFO - Epoch(train) [285][45/63] lr: 1.0000e-05 eta: 21:02:20 time: 2.8953 data_time: 0.2191 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0527 loss: 0.1648 2022/08/26 18:34:19 - mmengine - INFO - Epoch(train) [285][50/63] lr: 1.0000e-05 eta: 21:01:33 time: 2.9828 data_time: 0.2472 memory: 28971 loss_text: 0.1056 loss_kernel: 0.0507 loss: 0.1562 2022/08/26 18:34:46 - mmengine - INFO - Epoch(train) [285][55/63] lr: 1.0000e-05 eta: 21:01:33 time: 3.2762 data_time: 0.0956 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0646 loss: 0.2018 2022/08/26 18:35:06 - mmengine - INFO - Epoch(train) [285][60/63] lr: 1.0000e-05 eta: 21:01:05 time: 4.6982 data_time: 0.2892 memory: 28971 loss_text: 0.1541 loss_kernel: 0.0706 loss: 0.2247 2022/08/26 18:35:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:37:13 - mmengine - INFO - Epoch(train) [286][5/63] lr: 1.0000e-05 eta: 21:01:05 time: 14.1603 data_time: 10.3629 memory: 28971 loss_text: 0.1217 loss_kernel: 0.0577 loss: 0.1794 2022/08/26 18:37:33 - mmengine - INFO - Epoch(train) [286][10/63] lr: 1.0000e-05 eta: 21:01:54 time: 13.9177 data_time: 10.3264 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0574 loss: 0.1780 2022/08/26 18:37:37 - mmengine - INFO - Epoch(train) [286][15/63] lr: 1.0000e-05 eta: 21:01:54 time: 2.3981 data_time: 0.1130 memory: 28971 loss_text: 0.1393 loss_kernel: 0.0658 loss: 0.2051 2022/08/26 18:37:55 - mmengine - INFO - Epoch(train) [286][20/63] lr: 1.0000e-05 eta: 21:00:59 time: 2.2523 data_time: 0.0739 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0681 loss: 0.2137 2022/08/26 18:38:00 - mmengine - INFO - Epoch(train) [286][25/63] lr: 1.0000e-05 eta: 21:00:59 time: 2.2774 data_time: 0.0681 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0545 loss: 0.1705 2022/08/26 18:38:20 - mmengine - INFO - Epoch(train) [286][30/63] lr: 1.0000e-05 eta: 21:00:06 time: 2.4698 data_time: 0.1167 memory: 28971 loss_text: 0.1066 loss_kernel: 0.0495 loss: 0.1561 2022/08/26 18:38:25 - mmengine - INFO - Epoch(train) [286][35/63] lr: 1.0000e-05 eta: 21:00:06 time: 2.5410 data_time: 0.1994 memory: 28971 loss_text: 0.1184 loss_kernel: 0.0554 loss: 0.1738 2022/08/26 18:38:47 - mmengine - INFO - Epoch(train) [286][40/63] lr: 1.0000e-05 eta: 20:59:16 time: 2.7497 data_time: 0.2250 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0594 loss: 0.1853 2022/08/26 18:39:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:39:12 - mmengine - INFO - Epoch(train) [286][45/63] lr: 1.0000e-05 eta: 20:59:16 time: 4.6188 data_time: 0.2961 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0587 loss: 0.1845 2022/08/26 18:39:17 - mmengine - INFO - Epoch(train) [286][50/63] lr: 1.0000e-05 eta: 20:58:28 time: 2.9538 data_time: 0.2611 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0549 loss: 0.1726 2022/08/26 18:39:47 - mmengine - INFO - Epoch(train) [286][55/63] lr: 1.0000e-05 eta: 20:58:28 time: 3.5560 data_time: 0.2204 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0534 loss: 0.1668 2022/08/26 18:39:52 - mmengine - INFO - Epoch(train) [286][60/63] lr: 1.0000e-05 eta: 20:57:47 time: 3.5329 data_time: 0.2522 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0650 loss: 0.2056 2022/08/26 18:40:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:42:05 - mmengine - INFO - Epoch(train) [287][5/63] lr: 1.0000e-05 eta: 20:57:47 time: 13.3672 data_time: 9.8817 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0673 loss: 0.2119 2022/08/26 18:42:20 - mmengine - INFO - Epoch(train) [287][10/63] lr: 1.0000e-05 eta: 20:58:29 time: 13.2996 data_time: 9.8369 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0625 loss: 0.1959 2022/08/26 18:42:27 - mmengine - INFO - Epoch(train) [287][15/63] lr: 1.0000e-05 eta: 20:58:29 time: 2.2109 data_time: 0.2090 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0586 loss: 0.1813 2022/08/26 18:42:46 - mmengine - INFO - Epoch(train) [287][20/63] lr: 1.0000e-05 eta: 20:57:37 time: 2.5354 data_time: 0.2086 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0605 loss: 0.1883 2022/08/26 18:42:51 - mmengine - INFO - Epoch(train) [287][25/63] lr: 1.0000e-05 eta: 20:57:37 time: 2.4591 data_time: 0.1191 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0611 loss: 0.1919 2022/08/26 18:43:12 - mmengine - INFO - Epoch(train) [287][30/63] lr: 1.0000e-05 eta: 20:56:45 time: 2.5942 data_time: 0.0936 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0605 loss: 0.1916 2022/08/26 18:43:17 - mmengine - INFO - Epoch(train) [287][35/63] lr: 1.0000e-05 eta: 20:56:45 time: 2.5882 data_time: 0.1156 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0568 loss: 0.1789 2022/08/26 18:43:38 - mmengine - INFO - Epoch(train) [287][40/63] lr: 1.0000e-05 eta: 20:55:54 time: 2.6439 data_time: 0.1192 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0551 loss: 0.1732 2022/08/26 18:43:43 - mmengine - INFO - Epoch(train) [287][45/63] lr: 1.0000e-05 eta: 20:55:54 time: 2.5870 data_time: 0.0786 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0607 loss: 0.1901 2022/08/26 18:44:07 - mmengine - INFO - Epoch(train) [287][50/63] lr: 1.0000e-05 eta: 20:55:05 time: 2.8157 data_time: 0.1785 memory: 28971 loss_text: 0.1068 loss_kernel: 0.0526 loss: 0.1593 2022/08/26 18:44:12 - mmengine - INFO - Epoch(train) [287][55/63] lr: 1.0000e-05 eta: 20:55:05 time: 2.8660 data_time: 0.2311 memory: 28971 loss_text: 0.1031 loss_kernel: 0.0498 loss: 0.1528 2022/08/26 18:44:32 - mmengine - INFO - Epoch(train) [287][60/63] lr: 1.0000e-05 eta: 20:54:14 time: 2.6145 data_time: 0.2335 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0627 loss: 0.1957 2022/08/26 18:44:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:46:42 - mmengine - INFO - Epoch(train) [288][5/63] lr: 1.0000e-05 eta: 20:54:14 time: 13.1131 data_time: 9.9956 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0611 loss: 0.1881 2022/08/26 18:47:12 - mmengine - INFO - Epoch(train) [288][10/63] lr: 1.0000e-05 eta: 20:55:17 time: 15.2867 data_time: 10.1034 memory: 28971 loss_text: 0.1099 loss_kernel: 0.0540 loss: 0.1639 2022/08/26 18:47:17 - mmengine - INFO - Epoch(train) [288][15/63] lr: 1.0000e-05 eta: 20:55:17 time: 3.5424 data_time: 0.1875 memory: 28971 loss_text: 0.0906 loss_kernel: 0.0452 loss: 0.1358 2022/08/26 18:47:46 - mmengine - INFO - Epoch(train) [288][20/63] lr: 1.0000e-05 eta: 20:54:34 time: 3.4015 data_time: 0.1429 memory: 28971 loss_text: 0.1186 loss_kernel: 0.0556 loss: 0.1742 2022/08/26 18:47:51 - mmengine - INFO - Epoch(train) [288][25/63] lr: 1.0000e-05 eta: 20:54:34 time: 3.3787 data_time: 0.1875 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0738 loss: 0.2356 2022/08/26 18:48:32 - mmengine - INFO - Epoch(train) [288][30/63] lr: 1.0000e-05 eta: 20:54:05 time: 4.6999 data_time: 0.3033 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0687 loss: 0.2169 2022/08/26 18:48:57 - mmengine - INFO - Epoch(train) [288][35/63] lr: 1.0000e-05 eta: 20:54:05 time: 6.6363 data_time: 0.2963 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0626 loss: 0.1973 2022/08/26 18:49:06 - mmengine - INFO - Epoch(train) [288][40/63] lr: 1.0000e-05 eta: 20:53:22 time: 3.3656 data_time: 0.1634 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0598 loss: 0.1876 2022/08/26 18:49:37 - mmengine - INFO - Epoch(train) [288][45/63] lr: 1.0000e-05 eta: 20:53:22 time: 3.9802 data_time: 0.1665 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0605 loss: 0.1896 2022/08/26 18:49:42 - mmengine - INFO - Epoch(train) [288][50/63] lr: 1.0000e-05 eta: 20:52:41 time: 3.5895 data_time: 0.1681 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0592 loss: 0.1861 2022/08/26 18:50:04 - mmengine - INFO - Epoch(train) [288][55/63] lr: 1.0000e-05 eta: 20:52:41 time: 2.7287 data_time: 0.1733 memory: 28971 loss_text: 0.1161 loss_kernel: 0.0539 loss: 0.1701 2022/08/26 18:50:25 - mmengine - INFO - Epoch(train) [288][60/63] lr: 1.0000e-05 eta: 20:52:08 time: 4.3016 data_time: 0.1545 memory: 28971 loss_text: 0.1136 loss_kernel: 0.0528 loss: 0.1663 2022/08/26 18:50:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:52:34 - mmengine - INFO - Epoch(train) [289][5/63] lr: 1.0000e-05 eta: 20:52:08 time: 14.6451 data_time: 10.5422 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0672 loss: 0.2124 2022/08/26 18:52:56 - mmengine - INFO - Epoch(train) [289][10/63] lr: 1.0000e-05 eta: 20:53:01 time: 14.4782 data_time: 10.4095 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0664 loss: 0.2082 2022/08/26 18:53:01 - mmengine - INFO - Epoch(train) [289][15/63] lr: 1.0000e-05 eta: 20:53:01 time: 2.7075 data_time: 0.1958 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0590 loss: 0.1824 2022/08/26 18:53:23 - mmengine - INFO - Epoch(train) [289][20/63] lr: 1.0000e-05 eta: 20:52:11 time: 2.6610 data_time: 0.1616 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0612 loss: 0.1910 2022/08/26 18:53:28 - mmengine - INFO - Epoch(train) [289][25/63] lr: 1.0000e-05 eta: 20:52:11 time: 2.6790 data_time: 0.1450 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0608 loss: 0.1889 2022/08/26 18:53:51 - mmengine - INFO - Epoch(train) [289][30/63] lr: 1.0000e-05 eta: 20:51:22 time: 2.8332 data_time: 0.1579 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0597 loss: 0.1854 2022/08/26 18:54:09 - mmengine - INFO - Epoch(train) [289][35/63] lr: 1.0000e-05 eta: 20:51:22 time: 4.1005 data_time: 0.1405 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0622 loss: 0.1961 2022/08/26 18:54:24 - mmengine - INFO - Epoch(train) [289][40/63] lr: 1.0000e-05 eta: 20:50:38 time: 3.3713 data_time: 0.2293 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0613 loss: 0.1920 2022/08/26 18:54:29 - mmengine - INFO - Epoch(train) [289][45/63] lr: 1.0000e-05 eta: 20:50:38 time: 1.9963 data_time: 0.1601 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0604 loss: 0.1876 2022/08/26 18:54:51 - mmengine - INFO - Epoch(train) [289][50/63] lr: 1.0000e-05 eta: 20:49:48 time: 2.6833 data_time: 0.0739 memory: 28971 loss_text: 0.1535 loss_kernel: 0.0713 loss: 0.2248 2022/08/26 18:54:56 - mmengine - INFO - Epoch(train) [289][55/63] lr: 1.0000e-05 eta: 20:49:48 time: 2.6907 data_time: 0.0959 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0607 loss: 0.1892 2022/08/26 18:55:17 - mmengine - INFO - Epoch(train) [289][60/63] lr: 1.0000e-05 eta: 20:48:56 time: 2.5129 data_time: 0.1484 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0551 loss: 0.1759 2022/08/26 18:55:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 18:57:06 - mmengine - INFO - Epoch(train) [290][5/63] lr: 1.0000e-05 eta: 20:48:56 time: 12.5994 data_time: 9.4125 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0627 loss: 0.2050 2022/08/26 18:57:11 - mmengine - INFO - Epoch(train) [290][10/63] lr: 1.0000e-05 eta: 20:49:09 time: 10.8133 data_time: 9.3153 memory: 28971 loss_text: 0.1205 loss_kernel: 0.0572 loss: 0.1777 2022/08/26 18:57:23 - mmengine - INFO - Epoch(train) [290][15/63] lr: 1.0000e-05 eta: 20:49:09 time: 1.7262 data_time: 0.0475 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0601 loss: 0.1895 2022/08/26 18:57:28 - mmengine - INFO - Epoch(train) [290][20/63] lr: 1.0000e-05 eta: 20:48:08 time: 1.7310 data_time: 0.0520 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0646 loss: 0.2038 2022/08/26 18:57:40 - mmengine - INFO - Epoch(train) [290][25/63] lr: 1.0000e-05 eta: 20:48:08 time: 1.6765 data_time: 0.1105 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0682 loss: 0.2138 2022/08/26 18:57:45 - mmengine - INFO - Epoch(train) [290][30/63] lr: 1.0000e-05 eta: 20:47:06 time: 1.6696 data_time: 0.1131 memory: 28971 loss_text: 0.1124 loss_kernel: 0.0552 loss: 0.1676 2022/08/26 18:57:50 - mmengine - INFO - Epoch(train) [290][35/63] lr: 1.0000e-05 eta: 20:47:06 time: 0.9530 data_time: 0.0493 memory: 28971 loss_text: 0.1041 loss_kernel: 0.0514 loss: 0.1556 2022/08/26 18:58:02 - mmengine - INFO - Epoch(train) [290][40/63] lr: 1.0000e-05 eta: 20:46:05 time: 1.6967 data_time: 0.0264 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0621 loss: 0.1928 2022/08/26 18:58:06 - mmengine - INFO - Epoch(train) [290][45/63] lr: 1.0000e-05 eta: 20:46:05 time: 1.6660 data_time: 0.0562 memory: 28971 loss_text: 0.1313 loss_kernel: 0.0619 loss: 0.1932 2022/08/26 18:58:11 - mmengine - INFO - Epoch(train) [290][50/63] lr: 1.0000e-05 eta: 20:44:56 time: 0.8917 data_time: 0.0562 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0581 loss: 0.1817 2022/08/26 18:58:21 - mmengine - INFO - Epoch(train) [290][55/63] lr: 1.0000e-05 eta: 20:44:56 time: 1.4096 data_time: 0.0502 memory: 28971 loss_text: 0.1209 loss_kernel: 0.0558 loss: 0.1767 2022/08/26 18:58:26 - mmengine - INFO - Epoch(train) [290][60/63] lr: 1.0000e-05 eta: 20:43:53 time: 1.5053 data_time: 0.0814 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0550 loss: 0.1718 2022/08/26 18:58:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:00:11 - mmengine - INFO - Epoch(train) [291][5/63] lr: 1.0000e-05 eta: 20:43:53 time: 10.6805 data_time: 8.8014 memory: 28971 loss_text: 0.1086 loss_kernel: 0.0537 loss: 0.1623 2022/08/26 19:00:16 - mmengine - INFO - Epoch(train) [291][10/63] lr: 1.0000e-05 eta: 20:44:00 time: 10.3174 data_time: 8.8197 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0610 loss: 0.1919 2022/08/26 19:00:25 - mmengine - INFO - Epoch(train) [291][15/63] lr: 1.0000e-05 eta: 20:44:00 time: 1.3884 data_time: 0.0436 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0622 loss: 0.1960 2022/08/26 19:00:30 - mmengine - INFO - Epoch(train) [291][20/63] lr: 1.0000e-05 eta: 20:42:56 time: 1.3898 data_time: 0.0490 memory: 28971 loss_text: 0.1188 loss_kernel: 0.0566 loss: 0.1755 2022/08/26 19:00:41 - mmengine - INFO - Epoch(train) [291][25/63] lr: 1.0000e-05 eta: 20:42:56 time: 1.5868 data_time: 0.1099 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0596 loss: 0.1883 2022/08/26 19:00:46 - mmengine - INFO - Epoch(train) [291][30/63] lr: 1.0000e-05 eta: 20:41:54 time: 1.6253 data_time: 0.1300 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0613 loss: 0.1940 2022/08/26 19:00:51 - mmengine - INFO - Epoch(train) [291][35/63] lr: 1.0000e-05 eta: 20:41:54 time: 0.9815 data_time: 0.0869 memory: 28971 loss_text: 0.1157 loss_kernel: 0.0552 loss: 0.1708 2022/08/26 19:01:03 - mmengine - INFO - Epoch(train) [291][40/63] lr: 1.0000e-05 eta: 20:40:54 time: 1.7113 data_time: 0.0695 memory: 28971 loss_text: 0.1325 loss_kernel: 0.0620 loss: 0.1945 2022/08/26 19:01:08 - mmengine - INFO - Epoch(train) [291][45/63] lr: 1.0000e-05 eta: 20:40:54 time: 1.6920 data_time: 0.0767 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0691 loss: 0.2183 2022/08/26 19:01:18 - mmengine - INFO - Epoch(train) [291][50/63] lr: 1.0000e-05 eta: 20:39:50 time: 1.4445 data_time: 0.0675 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0618 loss: 0.1939 2022/08/26 19:01:25 - mmengine - INFO - Epoch(train) [291][55/63] lr: 1.0000e-05 eta: 20:39:50 time: 1.7049 data_time: 0.0851 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0569 loss: 0.1795 2022/08/26 19:01:29 - mmengine - INFO - Epoch(train) [291][60/63] lr: 1.0000e-05 eta: 20:38:44 time: 1.1874 data_time: 0.1093 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0614 loss: 0.1949 2022/08/26 19:01:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:03:28 - mmengine - INFO - Epoch(train) [292][5/63] lr: 1.0000e-05 eta: 20:38:44 time: 12.0136 data_time: 9.4780 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0647 loss: 0.2023 2022/08/26 19:03:52 - mmengine - INFO - Epoch(train) [292][10/63] lr: 1.0000e-05 eta: 20:39:20 time: 13.0030 data_time: 10.0374 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0741 loss: 0.2336 2022/08/26 19:03:59 - mmengine - INFO - Epoch(train) [292][15/63] lr: 1.0000e-05 eta: 20:39:20 time: 3.0976 data_time: 0.6835 memory: 28971 loss_text: 0.1535 loss_kernel: 0.0714 loss: 0.2249 2022/08/26 19:04:24 - mmengine - INFO - Epoch(train) [292][20/63] lr: 1.0000e-05 eta: 20:38:34 time: 3.0684 data_time: 0.1273 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0592 loss: 0.1841 2022/08/26 19:04:28 - mmengine - INFO - Epoch(train) [292][25/63] lr: 1.0000e-05 eta: 20:38:34 time: 2.9008 data_time: 0.1613 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0644 loss: 0.2024 2022/08/26 19:04:52 - mmengine - INFO - Epoch(train) [292][30/63] lr: 1.0000e-05 eta: 20:37:46 time: 2.9091 data_time: 0.1592 memory: 28971 loss_text: 0.1578 loss_kernel: 0.0723 loss: 0.2300 2022/08/26 19:05:00 - mmengine - INFO - Epoch(train) [292][35/63] lr: 1.0000e-05 eta: 20:37:46 time: 3.1942 data_time: 0.1468 memory: 28971 loss_text: 0.1417 loss_kernel: 0.0663 loss: 0.2080 2022/08/26 19:05:26 - mmengine - INFO - Epoch(train) [292][40/63] lr: 1.0000e-05 eta: 20:37:03 time: 3.3635 data_time: 0.2107 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0686 loss: 0.2139 2022/08/26 19:05:35 - mmengine - INFO - Epoch(train) [292][45/63] lr: 1.0000e-05 eta: 20:37:03 time: 3.4418 data_time: 0.2020 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0673 loss: 0.2117 2022/08/26 19:05:53 - mmengine - INFO - Epoch(train) [292][50/63] lr: 1.0000e-05 eta: 20:36:13 time: 2.7159 data_time: 0.2418 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0672 loss: 0.2114 2022/08/26 19:06:14 - mmengine - INFO - Epoch(train) [292][55/63] lr: 1.0000e-05 eta: 20:36:13 time: 3.8886 data_time: 0.1811 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0663 loss: 0.2088 2022/08/26 19:06:24 - mmengine - INFO - Epoch(train) [292][60/63] lr: 1.0000e-05 eta: 20:35:27 time: 3.0985 data_time: 0.2798 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0600 loss: 0.1874 2022/08/26 19:06:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:08:30 - mmengine - INFO - Epoch(train) [293][5/63] lr: 1.0000e-05 eta: 20:35:27 time: 13.0054 data_time: 9.6997 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0544 loss: 0.1720 2022/08/26 19:08:42 - mmengine - INFO - Epoch(train) [293][10/63] lr: 1.0000e-05 eta: 20:35:55 time: 12.3386 data_time: 9.7075 memory: 28971 loss_text: 0.1100 loss_kernel: 0.0512 loss: 0.1612 2022/08/26 19:08:52 - mmengine - INFO - Epoch(train) [293][15/63] lr: 1.0000e-05 eta: 20:35:55 time: 2.2875 data_time: 0.1220 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0678 loss: 0.2139 2022/08/26 19:09:09 - mmengine - INFO - Epoch(train) [293][20/63] lr: 1.0000e-05 eta: 20:35:04 time: 2.5661 data_time: 0.1394 memory: 28971 loss_text: 0.1384 loss_kernel: 0.0654 loss: 0.2038 2022/08/26 19:09:19 - mmengine - INFO - Epoch(train) [293][25/63] lr: 1.0000e-05 eta: 20:35:04 time: 2.6537 data_time: 0.1910 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0621 loss: 0.1930 2022/08/26 19:09:36 - mmengine - INFO - Epoch(train) [293][30/63] lr: 1.0000e-05 eta: 20:34:14 time: 2.7748 data_time: 0.1706 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0577 loss: 0.1792 2022/08/26 19:09:43 - mmengine - INFO - Epoch(train) [293][35/63] lr: 1.0000e-05 eta: 20:34:14 time: 2.3792 data_time: 0.2086 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0539 loss: 0.1667 2022/08/26 19:10:03 - mmengine - INFO - Epoch(train) [293][40/63] lr: 1.0000e-05 eta: 20:33:24 time: 2.6908 data_time: 0.2510 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0619 loss: 0.1911 2022/08/26 19:10:12 - mmengine - INFO - Epoch(train) [293][45/63] lr: 1.0000e-05 eta: 20:33:24 time: 2.9297 data_time: 0.1632 memory: 28971 loss_text: 0.1403 loss_kernel: 0.0665 loss: 0.2067 2022/08/26 19:10:27 - mmengine - INFO - Epoch(train) [293][50/63] lr: 1.0000e-05 eta: 20:32:31 time: 2.4381 data_time: 0.1818 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0614 loss: 0.1914 2022/08/26 19:10:50 - mmengine - INFO - Epoch(train) [293][55/63] lr: 1.0000e-05 eta: 20:32:31 time: 3.8049 data_time: 0.1410 memory: 28971 loss_text: 0.1238 loss_kernel: 0.0587 loss: 0.1825 2022/08/26 19:10:58 - mmengine - INFO - Epoch(train) [293][60/63] lr: 1.0000e-05 eta: 20:31:46 time: 3.0869 data_time: 0.1898 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0605 loss: 0.1889 2022/08/26 19:11:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:12:58 - mmengine - INFO - Epoch(train) [294][5/63] lr: 1.0000e-05 eta: 20:31:46 time: 12.0909 data_time: 9.5645 memory: 28971 loss_text: 0.1853 loss_kernel: 0.0843 loss: 0.2696 2022/08/26 19:13:04 - mmengine - INFO - Epoch(train) [294][10/63] lr: 1.0000e-05 eta: 20:32:01 time: 11.1856 data_time: 9.6150 memory: 28971 loss_text: 0.1703 loss_kernel: 0.0781 loss: 0.2485 2022/08/26 19:13:24 - mmengine - INFO - Epoch(train) [294][15/63] lr: 1.0000e-05 eta: 20:32:01 time: 2.5832 data_time: 0.0665 memory: 28971 loss_text: 0.1534 loss_kernel: 0.0715 loss: 0.2249 2022/08/26 19:13:29 - mmengine - INFO - Epoch(train) [294][20/63] lr: 1.0000e-05 eta: 20:31:09 time: 2.5508 data_time: 0.1181 memory: 28971 loss_text: 0.1633 loss_kernel: 0.0754 loss: 0.2386 2022/08/26 19:13:49 - mmengine - INFO - Epoch(train) [294][25/63] lr: 1.0000e-05 eta: 20:31:09 time: 2.4425 data_time: 0.1635 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0629 loss: 0.1957 2022/08/26 19:13:53 - mmengine - INFO - Epoch(train) [294][30/63] lr: 1.0000e-05 eta: 20:30:16 time: 2.3920 data_time: 0.1346 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0629 loss: 0.1963 2022/08/26 19:14:14 - mmengine - INFO - Epoch(train) [294][35/63] lr: 1.0000e-05 eta: 20:30:16 time: 2.5434 data_time: 0.1400 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0652 loss: 0.2039 2022/08/26 19:14:18 - mmengine - INFO - Epoch(train) [294][40/63] lr: 1.0000e-05 eta: 20:29:24 time: 2.5040 data_time: 0.0848 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0628 loss: 0.1955 2022/08/26 19:14:46 - mmengine - INFO - Epoch(train) [294][45/63] lr: 1.0000e-05 eta: 20:29:24 time: 3.1844 data_time: 0.0699 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0678 loss: 0.2143 2022/08/26 19:15:02 - mmengine - INFO - Epoch(train) [294][50/63] lr: 1.0000e-05 eta: 20:28:51 time: 4.3400 data_time: 0.1062 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0676 loss: 0.2127 2022/08/26 19:15:15 - mmengine - INFO - Epoch(train) [294][55/63] lr: 1.0000e-05 eta: 20:28:51 time: 2.9606 data_time: 0.2120 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0582 loss: 0.1819 2022/08/26 19:15:38 - mmengine - INFO - Epoch(train) [294][60/63] lr: 1.0000e-05 eta: 20:28:10 time: 3.5545 data_time: 0.2180 memory: 28971 loss_text: 0.1114 loss_kernel: 0.0532 loss: 0.1646 2022/08/26 19:15:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:17:39 - mmengine - INFO - Epoch(train) [295][5/63] lr: 1.0000e-05 eta: 20:28:10 time: 12.4374 data_time: 9.8744 memory: 28971 loss_text: 0.1581 loss_kernel: 0.0731 loss: 0.2312 2022/08/26 19:17:45 - mmengine - INFO - Epoch(train) [295][10/63] lr: 1.0000e-05 eta: 20:28:36 time: 12.2091 data_time: 9.8209 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0642 loss: 0.1980 2022/08/26 19:18:09 - mmengine - INFO - Epoch(train) [295][15/63] lr: 1.0000e-05 eta: 20:28:36 time: 2.9891 data_time: 0.1766 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0609 loss: 0.1874 2022/08/26 19:18:27 - mmengine - INFO - Epoch(train) [295][20/63] lr: 1.0000e-05 eta: 20:28:02 time: 4.2066 data_time: 0.2230 memory: 28971 loss_text: 0.1322 loss_kernel: 0.0619 loss: 0.1941 2022/08/26 19:18:32 - mmengine - INFO - Epoch(train) [295][25/63] lr: 1.0000e-05 eta: 20:28:02 time: 2.2781 data_time: 0.1000 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0613 loss: 0.1920 2022/08/26 19:18:49 - mmengine - INFO - Epoch(train) [295][30/63] lr: 1.0000e-05 eta: 20:27:06 time: 2.1812 data_time: 0.2074 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0550 loss: 0.1706 2022/08/26 19:19:10 - mmengine - INFO - Epoch(train) [295][35/63] lr: 1.0000e-05 eta: 20:27:06 time: 3.8389 data_time: 0.3002 memory: 28971 loss_text: 0.1025 loss_kernel: 0.0503 loss: 0.1528 2022/08/26 19:19:35 - mmengine - INFO - Epoch(train) [295][40/63] lr: 1.0000e-05 eta: 20:26:36 time: 4.6267 data_time: 0.1647 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0586 loss: 0.1800 2022/08/26 19:19:40 - mmengine - INFO - Epoch(train) [295][45/63] lr: 1.0000e-05 eta: 20:26:36 time: 3.0267 data_time: 0.1411 memory: 28971 loss_text: 0.1500 loss_kernel: 0.0697 loss: 0.2197 2022/08/26 19:20:02 - mmengine - INFO - Epoch(train) [295][50/63] lr: 1.0000e-05 eta: 20:25:46 time: 2.6430 data_time: 0.2084 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0612 loss: 0.1942 2022/08/26 19:20:07 - mmengine - INFO - Epoch(train) [295][55/63] lr: 1.0000e-05 eta: 20:25:46 time: 2.6544 data_time: 0.2241 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0616 loss: 0.1963 2022/08/26 19:20:27 - mmengine - INFO - Epoch(train) [295][60/63] lr: 1.0000e-05 eta: 20:24:55 time: 2.5665 data_time: 0.2362 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0692 loss: 0.2200 2022/08/26 19:20:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:22:22 - mmengine - INFO - Epoch(train) [296][5/63] lr: 1.0000e-05 eta: 20:24:55 time: 11.5538 data_time: 9.5808 memory: 28971 loss_text: 0.1564 loss_kernel: 0.0718 loss: 0.2282 2022/08/26 19:22:51 - mmengine - INFO - Epoch(train) [296][10/63] lr: 1.0000e-05 eta: 20:25:37 time: 13.9061 data_time: 9.7770 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0655 loss: 0.2057 2022/08/26 19:22:56 - mmengine - INFO - Epoch(train) [296][15/63] lr: 1.0000e-05 eta: 20:25:37 time: 3.4287 data_time: 0.2797 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0636 loss: 0.2000 2022/08/26 19:23:01 - mmengine - INFO - Epoch(train) [296][20/63] lr: 1.0000e-05 eta: 20:24:29 time: 0.9579 data_time: 0.0576 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0622 loss: 0.1949 2022/08/26 19:23:18 - mmengine - INFO - Epoch(train) [296][25/63] lr: 1.0000e-05 eta: 20:24:29 time: 2.1527 data_time: 0.0510 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0557 loss: 0.1732 2022/08/26 19:23:22 - mmengine - INFO - Epoch(train) [296][30/63] lr: 1.0000e-05 eta: 20:23:33 time: 2.0993 data_time: 0.0631 memory: 28971 loss_text: 0.0979 loss_kernel: 0.0479 loss: 0.1458 2022/08/26 19:23:38 - mmengine - INFO - Epoch(train) [296][35/63] lr: 1.0000e-05 eta: 20:23:33 time: 2.0474 data_time: 0.2179 memory: 28971 loss_text: 0.1145 loss_kernel: 0.0553 loss: 0.1697 2022/08/26 19:23:59 - mmengine - INFO - Epoch(train) [296][40/63] lr: 1.0000e-05 eta: 20:22:53 time: 3.6437 data_time: 0.2597 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0564 loss: 0.1737 2022/08/26 19:24:04 - mmengine - INFO - Epoch(train) [296][45/63] lr: 1.0000e-05 eta: 20:22:53 time: 2.5553 data_time: 0.1721 memory: 28971 loss_text: 0.1403 loss_kernel: 0.0669 loss: 0.2072 2022/08/26 19:24:19 - mmengine - INFO - Epoch(train) [296][50/63] lr: 1.0000e-05 eta: 20:21:56 time: 1.9777 data_time: 0.2031 memory: 28971 loss_text: 0.1781 loss_kernel: 0.0817 loss: 0.2598 2022/08/26 19:24:24 - mmengine - INFO - Epoch(train) [296][55/63] lr: 1.0000e-05 eta: 20:21:56 time: 2.0483 data_time: 0.2676 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0750 loss: 0.2422 2022/08/26 19:24:43 - mmengine - INFO - Epoch(train) [296][60/63] lr: 1.0000e-05 eta: 20:21:04 time: 2.4714 data_time: 0.2912 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0629 loss: 0.1996 2022/08/26 19:24:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:26:36 - mmengine - INFO - Epoch(train) [297][5/63] lr: 1.0000e-05 eta: 20:21:04 time: 11.6727 data_time: 9.5708 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0582 loss: 0.1829 2022/08/26 19:26:41 - mmengine - INFO - Epoch(train) [297][10/63] lr: 1.0000e-05 eta: 20:21:21 time: 11.4811 data_time: 9.4076 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0643 loss: 0.2026 2022/08/26 19:27:00 - mmengine - INFO - Epoch(train) [297][15/63] lr: 1.0000e-05 eta: 20:21:21 time: 2.3859 data_time: 0.0680 memory: 28971 loss_text: 0.1519 loss_kernel: 0.0711 loss: 0.2230 2022/08/26 19:27:04 - mmengine - INFO - Epoch(train) [297][20/63] lr: 1.0000e-05 eta: 20:20:27 time: 2.2908 data_time: 0.0424 memory: 28971 loss_text: 0.1477 loss_kernel: 0.0690 loss: 0.2167 2022/08/26 19:27:29 - mmengine - INFO - Epoch(train) [297][25/63] lr: 1.0000e-05 eta: 20:20:27 time: 2.9103 data_time: 0.1553 memory: 28971 loss_text: 0.1545 loss_kernel: 0.0719 loss: 0.2264 2022/08/26 19:27:33 - mmengine - INFO - Epoch(train) [297][30/63] lr: 1.0000e-05 eta: 20:19:39 time: 2.9287 data_time: 0.1951 memory: 28971 loss_text: 0.1528 loss_kernel: 0.0709 loss: 0.2237 2022/08/26 19:27:55 - mmengine - INFO - Epoch(train) [297][35/63] lr: 1.0000e-05 eta: 20:19:39 time: 2.5617 data_time: 0.1833 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0652 loss: 0.2050 2022/08/26 19:28:13 - mmengine - INFO - Epoch(train) [297][40/63] lr: 1.0000e-05 eta: 20:19:03 time: 3.9999 data_time: 0.1976 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0603 loss: 0.1879 2022/08/26 19:28:22 - mmengine - INFO - Epoch(train) [297][45/63] lr: 1.0000e-05 eta: 20:19:03 time: 2.7883 data_time: 0.1402 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0631 loss: 0.1989 2022/08/26 19:28:27 - mmengine - INFO - Epoch(train) [297][50/63] lr: 1.0000e-05 eta: 20:17:59 time: 1.3644 data_time: 0.1247 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0588 loss: 0.1843 2022/08/26 19:28:49 - mmengine - INFO - Epoch(train) [297][55/63] lr: 1.0000e-05 eta: 20:17:59 time: 2.6210 data_time: 0.2160 memory: 28971 loss_text: 0.1081 loss_kernel: 0.0514 loss: 0.1596 2022/08/26 19:28:53 - mmengine - INFO - Epoch(train) [297][60/63] lr: 1.0000e-05 eta: 20:17:09 time: 2.6400 data_time: 0.2520 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0589 loss: 0.1848 2022/08/26 19:29:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:31:14 - mmengine - INFO - Epoch(train) [298][5/63] lr: 1.0000e-05 eta: 20:17:09 time: 14.1896 data_time: 9.9457 memory: 28971 loss_text: 0.1059 loss_kernel: 0.0513 loss: 0.1572 2022/08/26 19:31:35 - mmengine - INFO - Epoch(train) [298][10/63] lr: 1.0000e-05 eta: 20:17:48 time: 13.7245 data_time: 9.8986 memory: 28971 loss_text: 0.0847 loss_kernel: 0.0427 loss: 0.1274 2022/08/26 19:31:42 - mmengine - INFO - Epoch(train) [298][15/63] lr: 1.0000e-05 eta: 20:17:48 time: 2.8068 data_time: 0.2842 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0583 loss: 0.1817 2022/08/26 19:32:10 - mmengine - INFO - Epoch(train) [298][20/63] lr: 1.0000e-05 eta: 20:17:08 time: 3.6094 data_time: 0.2999 memory: 28971 loss_text: 0.1129 loss_kernel: 0.0532 loss: 0.1661 2022/08/26 19:32:19 - mmengine - INFO - Epoch(train) [298][25/63] lr: 1.0000e-05 eta: 20:17:08 time: 3.7118 data_time: 0.2034 memory: 28971 loss_text: 0.1053 loss_kernel: 0.0501 loss: 0.1555 2022/08/26 19:32:24 - mmengine - INFO - Epoch(train) [298][30/63] lr: 1.0000e-05 eta: 20:16:05 time: 1.4195 data_time: 0.1137 memory: 28971 loss_text: 0.1002 loss_kernel: 0.0489 loss: 0.1491 2022/08/26 19:32:48 - mmengine - INFO - Epoch(train) [298][35/63] lr: 1.0000e-05 eta: 20:16:05 time: 2.8013 data_time: 0.1203 memory: 28971 loss_text: 0.1028 loss_kernel: 0.0506 loss: 0.1535 2022/08/26 19:33:09 - mmengine - INFO - Epoch(train) [298][40/63] lr: 1.0000e-05 eta: 20:15:33 time: 4.4641 data_time: 0.1603 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0748 loss: 0.2375 2022/08/26 19:33:14 - mmengine - INFO - Epoch(train) [298][45/63] lr: 1.0000e-05 eta: 20:15:33 time: 2.6933 data_time: 0.1464 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0781 loss: 0.2495 2022/08/26 19:33:34 - mmengine - INFO - Epoch(train) [298][50/63] lr: 1.0000e-05 eta: 20:14:41 time: 2.4875 data_time: 0.1180 memory: 28971 loss_text: 0.1434 loss_kernel: 0.0674 loss: 0.2107 2022/08/26 19:33:40 - mmengine - INFO - Epoch(train) [298][55/63] lr: 1.0000e-05 eta: 20:14:41 time: 2.5532 data_time: 0.1117 memory: 28971 loss_text: 0.1104 loss_kernel: 0.0523 loss: 0.1626 2022/08/26 19:34:00 - mmengine - INFO - Epoch(train) [298][60/63] lr: 1.0000e-05 eta: 20:13:51 time: 2.6140 data_time: 0.1068 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0594 loss: 0.1879 2022/08/26 19:34:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:35:54 - mmengine - INFO - Epoch(train) [299][5/63] lr: 1.0000e-05 eta: 20:13:51 time: 11.8171 data_time: 9.9092 memory: 28971 loss_text: 0.1697 loss_kernel: 0.0782 loss: 0.2479 2022/08/26 19:36:02 - mmengine - INFO - Epoch(train) [299][10/63] lr: 1.0000e-05 eta: 20:14:09 time: 11.7490 data_time: 9.8891 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0628 loss: 0.1975 2022/08/26 19:36:17 - mmengine - INFO - Epoch(train) [299][15/63] lr: 1.0000e-05 eta: 20:14:09 time: 2.3781 data_time: 0.1335 memory: 28971 loss_text: 0.1606 loss_kernel: 0.0744 loss: 0.2349 2022/08/26 19:36:39 - mmengine - INFO - Epoch(train) [299][20/63] lr: 1.0000e-05 eta: 20:13:30 time: 3.6718 data_time: 0.0817 memory: 28971 loss_text: 0.1513 loss_kernel: 0.0705 loss: 0.2218 2022/08/26 19:36:46 - mmengine - INFO - Epoch(train) [299][25/63] lr: 1.0000e-05 eta: 20:13:30 time: 2.8261 data_time: 0.1904 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0550 loss: 0.1700 2022/08/26 19:37:09 - mmengine - INFO - Epoch(train) [299][30/63] lr: 1.0000e-05 eta: 20:12:43 time: 3.0339 data_time: 0.1429 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0536 loss: 0.1664 2022/08/26 19:37:14 - mmengine - INFO - Epoch(train) [299][35/63] lr: 1.0000e-05 eta: 20:12:43 time: 2.8917 data_time: 0.1229 memory: 28971 loss_text: 0.1072 loss_kernel: 0.0507 loss: 0.1578 2022/08/26 19:37:33 - mmengine - INFO - Epoch(train) [299][40/63] lr: 1.0000e-05 eta: 20:11:50 time: 2.3612 data_time: 0.1806 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0558 loss: 0.1741 2022/08/26 19:37:38 - mmengine - INFO - Epoch(train) [299][45/63] lr: 1.0000e-05 eta: 20:11:50 time: 2.3080 data_time: 0.1430 memory: 28971 loss_text: 0.1313 loss_kernel: 0.0607 loss: 0.1920 2022/08/26 19:38:01 - mmengine - INFO - Epoch(train) [299][50/63] lr: 1.0000e-05 eta: 20:11:01 time: 2.7629 data_time: 0.1241 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0585 loss: 0.1844 2022/08/26 19:38:24 - mmengine - INFO - Epoch(train) [299][55/63] lr: 1.0000e-05 eta: 20:11:01 time: 4.6169 data_time: 0.1632 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0622 loss: 0.1939 2022/08/26 19:38:31 - mmengine - INFO - Epoch(train) [299][60/63] lr: 1.0000e-05 eta: 20:10:15 time: 3.0237 data_time: 0.3399 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0589 loss: 0.1838 2022/08/26 19:38:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:40:52 - mmengine - INFO - Epoch(train) [300][5/63] lr: 1.0000e-05 eta: 20:10:15 time: 14.1678 data_time: 10.4024 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0666 loss: 0.2107 2022/08/26 19:41:13 - mmengine - INFO - Epoch(train) [300][10/63] lr: 1.0000e-05 eta: 20:11:00 time: 14.4210 data_time: 10.4623 memory: 28971 loss_text: 0.1732 loss_kernel: 0.0789 loss: 0.2521 2022/08/26 19:41:17 - mmengine - INFO - Epoch(train) [300][15/63] lr: 1.0000e-05 eta: 20:11:00 time: 2.5634 data_time: 0.0930 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0671 loss: 0.2114 2022/08/26 19:41:42 - mmengine - INFO - Epoch(train) [300][20/63] lr: 1.0000e-05 eta: 20:10:12 time: 2.9384 data_time: 0.1337 memory: 28971 loss_text: 0.1127 loss_kernel: 0.0538 loss: 0.1664 2022/08/26 19:41:47 - mmengine - INFO - Epoch(train) [300][25/63] lr: 1.0000e-05 eta: 20:10:12 time: 2.9794 data_time: 0.1345 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0675 loss: 0.2121 2022/08/26 19:42:09 - mmengine - INFO - Epoch(train) [300][30/63] lr: 1.0000e-05 eta: 20:09:22 time: 2.6461 data_time: 0.1391 memory: 28971 loss_text: 0.1675 loss_kernel: 0.0768 loss: 0.2442 2022/08/26 19:42:21 - mmengine - INFO - Epoch(train) [300][35/63] lr: 1.0000e-05 eta: 20:09:22 time: 3.4033 data_time: 0.1819 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0587 loss: 0.1849 2022/08/26 19:42:32 - mmengine - INFO - Epoch(train) [300][40/63] lr: 1.0000e-05 eta: 20:08:29 time: 2.3458 data_time: 0.1581 memory: 28971 loss_text: 0.1043 loss_kernel: 0.0502 loss: 0.1545 2022/08/26 19:42:49 - mmengine - INFO - Epoch(train) [300][45/63] lr: 1.0000e-05 eta: 20:08:29 time: 2.7508 data_time: 0.1581 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0693 loss: 0.2200 2022/08/26 19:42:57 - mmengine - INFO - Epoch(train) [300][50/63] lr: 1.0000e-05 eta: 20:07:38 time: 2.5209 data_time: 0.1592 memory: 28971 loss_text: 0.1479 loss_kernel: 0.0682 loss: 0.2162 2022/08/26 19:43:04 - mmengine - INFO - Epoch(train) [300][55/63] lr: 1.0000e-05 eta: 20:07:38 time: 1.5116 data_time: 0.0978 memory: 28971 loss_text: 0.1158 loss_kernel: 0.0556 loss: 0.1714 2022/08/26 19:43:29 - mmengine - INFO - Epoch(train) [300][60/63] lr: 1.0000e-05 eta: 20:06:53 time: 3.1938 data_time: 0.2300 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0605 loss: 0.1898 2022/08/26 19:43:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:43:46 - mmengine - INFO - Saving checkpoint at 300 epochs 2022/08/26 19:45:58 - mmengine - INFO - Epoch(train) [301][5/63] lr: 1.0000e-05 eta: 20:06:53 time: 13.6057 data_time: 9.8201 memory: 28971 loss_text: 0.1180 loss_kernel: 0.0552 loss: 0.1732 2022/08/26 19:46:16 - mmengine - INFO - Epoch(train) [301][10/63] lr: 1.0000e-05 eta: 20:07:28 time: 13.4618 data_time: 9.8685 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0685 loss: 0.2142 2022/08/26 19:46:21 - mmengine - INFO - Epoch(train) [301][15/63] lr: 1.0000e-05 eta: 20:07:28 time: 2.2632 data_time: 0.1902 memory: 28971 loss_text: 0.1115 loss_kernel: 0.0543 loss: 0.1658 2022/08/26 19:46:38 - mmengine - INFO - Epoch(train) [301][20/63] lr: 1.0000e-05 eta: 20:06:33 time: 2.1706 data_time: 0.1368 memory: 28971 loss_text: 0.1132 loss_kernel: 0.0536 loss: 0.1668 2022/08/26 19:46:43 - mmengine - INFO - Epoch(train) [301][25/63] lr: 1.0000e-05 eta: 20:06:33 time: 2.1635 data_time: 0.1377 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0625 loss: 0.1976 2022/08/26 19:46:57 - mmengine - INFO - Epoch(train) [301][30/63] lr: 1.0000e-05 eta: 20:05:35 time: 1.9076 data_time: 0.1036 memory: 28971 loss_text: 0.1669 loss_kernel: 0.0762 loss: 0.2431 2022/08/26 19:47:02 - mmengine - INFO - Epoch(train) [301][35/63] lr: 1.0000e-05 eta: 20:05:35 time: 1.9713 data_time: 0.1148 memory: 28971 loss_text: 0.1697 loss_kernel: 0.0775 loss: 0.2473 2022/08/26 19:47:21 - mmengine - INFO - Epoch(train) [301][40/63] lr: 1.0000e-05 eta: 20:04:43 time: 2.4087 data_time: 0.1096 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0612 loss: 0.1913 2022/08/26 19:47:28 - mmengine - INFO - Epoch(train) [301][45/63] lr: 1.0000e-05 eta: 20:04:43 time: 2.5535 data_time: 0.1572 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0657 loss: 0.2092 2022/08/26 19:47:52 - mmengine - INFO - Epoch(train) [301][50/63] lr: 1.0000e-05 eta: 20:03:57 time: 3.0988 data_time: 0.3224 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0628 loss: 0.1996 2022/08/26 19:47:57 - mmengine - INFO - Epoch(train) [301][55/63] lr: 1.0000e-05 eta: 20:03:57 time: 2.8732 data_time: 0.2420 memory: 28971 loss_text: 0.1151 loss_kernel: 0.0546 loss: 0.1697 2022/08/26 19:48:19 - mmengine - INFO - Epoch(train) [301][60/63] lr: 1.0000e-05 eta: 20:03:07 time: 2.6480 data_time: 0.0984 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0571 loss: 0.1765 2022/08/26 19:48:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:50:23 - mmengine - INFO - Epoch(train) [302][5/63] lr: 1.0000e-05 eta: 20:03:07 time: 12.6225 data_time: 9.9295 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0765 loss: 0.2406 2022/08/26 19:50:31 - mmengine - INFO - Epoch(train) [302][10/63] lr: 1.0000e-05 eta: 20:03:33 time: 12.5731 data_time: 9.8299 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0679 loss: 0.2132 2022/08/26 19:50:49 - mmengine - INFO - Epoch(train) [302][15/63] lr: 1.0000e-05 eta: 20:03:33 time: 2.6527 data_time: 0.3029 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0661 loss: 0.2097 2022/08/26 19:51:05 - mmengine - INFO - Epoch(train) [302][20/63] lr: 1.0000e-05 eta: 20:02:51 time: 3.4994 data_time: 0.2885 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0670 loss: 0.2132 2022/08/26 19:51:11 - mmengine - INFO - Epoch(train) [302][25/63] lr: 1.0000e-05 eta: 20:02:51 time: 2.1461 data_time: 0.1561 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0640 loss: 0.2010 2022/08/26 19:51:33 - mmengine - INFO - Epoch(train) [302][30/63] lr: 1.0000e-05 eta: 20:02:02 time: 2.7664 data_time: 0.1600 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0573 loss: 0.1764 2022/08/26 19:51:38 - mmengine - INFO - Epoch(train) [302][35/63] lr: 1.0000e-05 eta: 20:02:02 time: 2.7488 data_time: 0.1301 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0534 loss: 0.1657 2022/08/26 19:51:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:52:01 - mmengine - INFO - Epoch(train) [302][40/63] lr: 1.0000e-05 eta: 20:01:13 time: 2.7479 data_time: 0.1508 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0626 loss: 0.1957 2022/08/26 19:52:06 - mmengine - INFO - Epoch(train) [302][45/63] lr: 1.0000e-05 eta: 20:01:13 time: 2.7730 data_time: 0.1502 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0628 loss: 0.1955 2022/08/26 19:52:30 - mmengine - INFO - Epoch(train) [302][50/63] lr: 1.0000e-05 eta: 20:00:25 time: 2.9085 data_time: 0.0857 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0591 loss: 0.1844 2022/08/26 19:52:52 - mmengine - INFO - Epoch(train) [302][55/63] lr: 1.0000e-05 eta: 20:00:25 time: 4.5583 data_time: 0.1864 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0616 loss: 0.1954 2022/08/26 19:52:58 - mmengine - INFO - Epoch(train) [302][60/63] lr: 1.0000e-05 eta: 19:59:38 time: 2.8743 data_time: 0.4026 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0599 loss: 0.1894 2022/08/26 19:53:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:55:07 - mmengine - INFO - Epoch(train) [303][5/63] lr: 1.0000e-05 eta: 19:59:38 time: 13.1502 data_time: 9.6161 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0555 loss: 0.1728 2022/08/26 19:55:29 - mmengine - INFO - Epoch(train) [303][10/63] lr: 1.0000e-05 eta: 20:00:07 time: 13.0546 data_time: 9.6470 memory: 28971 loss_text: 0.1095 loss_kernel: 0.0530 loss: 0.1625 2022/08/26 19:55:34 - mmengine - INFO - Epoch(train) [303][15/63] lr: 1.0000e-05 eta: 20:00:07 time: 2.6527 data_time: 0.2258 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0569 loss: 0.1758 2022/08/26 19:55:51 - mmengine - INFO - Epoch(train) [303][20/63] lr: 1.0000e-05 eta: 19:59:12 time: 2.1300 data_time: 0.0969 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0671 loss: 0.2131 2022/08/26 19:55:59 - mmengine - INFO - Epoch(train) [303][25/63] lr: 1.0000e-05 eta: 19:59:12 time: 2.5296 data_time: 0.2964 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0649 loss: 0.2029 2022/08/26 19:56:13 - mmengine - INFO - Epoch(train) [303][30/63] lr: 1.0000e-05 eta: 19:58:18 time: 2.2174 data_time: 0.2952 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0630 loss: 0.1951 2022/08/26 19:56:21 - mmengine - INFO - Epoch(train) [303][35/63] lr: 1.0000e-05 eta: 19:58:18 time: 2.1763 data_time: 0.3109 memory: 28971 loss_text: 0.1541 loss_kernel: 0.0719 loss: 0.2261 2022/08/26 19:56:40 - mmengine - INFO - Epoch(train) [303][40/63] lr: 1.0000e-05 eta: 19:57:29 time: 2.7449 data_time: 0.2969 memory: 28971 loss_text: 0.1637 loss_kernel: 0.0770 loss: 0.2407 2022/08/26 19:56:48 - mmengine - INFO - Epoch(train) [303][45/63] lr: 1.0000e-05 eta: 19:57:29 time: 2.7214 data_time: 0.2081 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0618 loss: 0.1917 2022/08/26 19:57:09 - mmengine - INFO - Epoch(train) [303][50/63] lr: 1.0000e-05 eta: 19:56:42 time: 2.9572 data_time: 0.2918 memory: 28971 loss_text: 0.1098 loss_kernel: 0.0525 loss: 0.1623 2022/08/26 19:57:19 - mmengine - INFO - Epoch(train) [303][55/63] lr: 1.0000e-05 eta: 19:56:42 time: 3.1088 data_time: 0.1203 memory: 28971 loss_text: 0.1131 loss_kernel: 0.0540 loss: 0.1671 2022/08/26 19:57:33 - mmengine - INFO - Epoch(train) [303][60/63] lr: 1.0000e-05 eta: 19:55:49 time: 2.3640 data_time: 0.2917 memory: 28971 loss_text: 0.1145 loss_kernel: 0.0549 loss: 0.1694 2022/08/26 19:57:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 19:59:28 - mmengine - INFO - Epoch(train) [304][5/63] lr: 1.0000e-05 eta: 19:55:49 time: 11.6109 data_time: 9.5975 memory: 28971 loss_text: 0.1396 loss_kernel: 0.0656 loss: 0.2052 2022/08/26 19:59:34 - mmengine - INFO - Epoch(train) [304][10/63] lr: 1.0000e-05 eta: 19:56:05 time: 11.6666 data_time: 9.6165 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0559 loss: 0.1722 2022/08/26 19:59:51 - mmengine - INFO - Epoch(train) [304][15/63] lr: 1.0000e-05 eta: 19:56:05 time: 2.3739 data_time: 0.1164 memory: 28971 loss_text: 0.1092 loss_kernel: 0.0521 loss: 0.1613 2022/08/26 19:59:57 - mmengine - INFO - Epoch(train) [304][20/63] lr: 1.0000e-05 eta: 19:55:11 time: 2.3242 data_time: 0.1501 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0568 loss: 0.1789 2022/08/26 20:00:17 - mmengine - INFO - Epoch(train) [304][25/63] lr: 1.0000e-05 eta: 19:55:11 time: 2.5784 data_time: 0.1974 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0610 loss: 0.1909 2022/08/26 20:00:22 - mmengine - INFO - Epoch(train) [304][30/63] lr: 1.0000e-05 eta: 19:54:20 time: 2.4888 data_time: 0.1219 memory: 28971 loss_text: 0.1525 loss_kernel: 0.0711 loss: 0.2237 2022/08/26 20:00:38 - mmengine - INFO - Epoch(train) [304][35/63] lr: 1.0000e-05 eta: 19:54:20 time: 2.0509 data_time: 0.1384 memory: 28971 loss_text: 0.1460 loss_kernel: 0.0677 loss: 0.2137 2022/08/26 20:00:43 - mmengine - INFO - Epoch(train) [304][40/63] lr: 1.0000e-05 eta: 19:53:25 time: 2.1435 data_time: 0.1403 memory: 28971 loss_text: 0.1086 loss_kernel: 0.0517 loss: 0.1603 2022/08/26 20:00:58 - mmengine - INFO - Epoch(train) [304][45/63] lr: 1.0000e-05 eta: 19:53:25 time: 1.9983 data_time: 0.1474 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0545 loss: 0.1694 2022/08/26 20:01:04 - mmengine - INFO - Epoch(train) [304][50/63] lr: 1.0000e-05 eta: 19:52:29 time: 2.0628 data_time: 0.1512 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0617 loss: 0.1958 2022/08/26 20:01:22 - mmengine - INFO - Epoch(train) [304][55/63] lr: 1.0000e-05 eta: 19:52:29 time: 2.3598 data_time: 0.0556 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0606 loss: 0.1930 2022/08/26 20:01:38 - mmengine - INFO - Epoch(train) [304][60/63] lr: 1.0000e-05 eta: 19:51:47 time: 3.4396 data_time: 0.1506 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0568 loss: 0.1776 2022/08/26 20:01:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:03:54 - mmengine - INFO - Epoch(train) [305][5/63] lr: 1.0000e-05 eta: 19:51:47 time: 14.7812 data_time: 9.6731 memory: 28971 loss_text: 0.1440 loss_kernel: 0.0658 loss: 0.2098 2022/08/26 20:04:08 - mmengine - INFO - Epoch(train) [305][10/63] lr: 1.0000e-05 eta: 19:52:14 time: 12.8810 data_time: 9.7053 memory: 28971 loss_text: 0.1204 loss_kernel: 0.0561 loss: 0.1765 2022/08/26 20:04:14 - mmengine - INFO - Epoch(train) [305][15/63] lr: 1.0000e-05 eta: 19:52:14 time: 2.0727 data_time: 0.1917 memory: 28971 loss_text: 0.0953 loss_kernel: 0.0455 loss: 0.1408 2022/08/26 20:04:36 - mmengine - INFO - Epoch(train) [305][20/63] lr: 1.0000e-05 eta: 19:51:26 time: 2.8657 data_time: 0.1725 memory: 28971 loss_text: 0.1023 loss_kernel: 0.0480 loss: 0.1504 2022/08/26 20:04:41 - mmengine - INFO - Epoch(train) [305][25/63] lr: 1.0000e-05 eta: 19:51:26 time: 2.7130 data_time: 0.0822 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0542 loss: 0.1692 2022/08/26 20:05:01 - mmengine - INFO - Epoch(train) [305][30/63] lr: 1.0000e-05 eta: 19:50:34 time: 2.4190 data_time: 0.1061 memory: 28971 loss_text: 0.1105 loss_kernel: 0.0528 loss: 0.1633 2022/08/26 20:05:07 - mmengine - INFO - Epoch(train) [305][35/63] lr: 1.0000e-05 eta: 19:50:34 time: 2.5405 data_time: 0.1682 memory: 28971 loss_text: 0.0974 loss_kernel: 0.0480 loss: 0.1454 2022/08/26 20:05:30 - mmengine - INFO - Epoch(train) [305][40/63] lr: 1.0000e-05 eta: 19:49:47 time: 2.9411 data_time: 0.1564 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0690 loss: 0.2152 2022/08/26 20:05:48 - mmengine - INFO - Epoch(train) [305][45/63] lr: 1.0000e-05 eta: 19:49:47 time: 4.1262 data_time: 0.1655 memory: 28971 loss_text: 0.2022 loss_kernel: 0.0925 loss: 0.2948 2022/08/26 20:06:07 - mmengine - INFO - Epoch(train) [305][50/63] lr: 1.0000e-05 eta: 19:49:07 time: 3.6706 data_time: 0.2180 memory: 28971 loss_text: 0.1598 loss_kernel: 0.0748 loss: 0.2346 2022/08/26 20:06:13 - mmengine - INFO - Epoch(train) [305][55/63] lr: 1.0000e-05 eta: 19:49:07 time: 2.5084 data_time: 0.1800 memory: 28971 loss_text: 0.1050 loss_kernel: 0.0512 loss: 0.1563 2022/08/26 20:06:19 - mmengine - INFO - Epoch(train) [305][60/63] lr: 1.0000e-05 eta: 19:48:03 time: 1.2182 data_time: 0.1072 memory: 28971 loss_text: 0.1094 loss_kernel: 0.0518 loss: 0.1612 2022/08/26 20:06:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:07:59 - mmengine - INFO - Epoch(train) [306][5/63] lr: 1.0000e-05 eta: 19:48:03 time: 10.1521 data_time: 8.5254 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0603 loss: 0.1895 2022/08/26 20:08:04 - mmengine - INFO - Epoch(train) [306][10/63] lr: 1.0000e-05 eta: 19:48:01 time: 9.8490 data_time: 8.5222 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0654 loss: 0.2062 2022/08/26 20:08:13 - mmengine - INFO - Epoch(train) [306][15/63] lr: 1.0000e-05 eta: 19:48:01 time: 1.4066 data_time: 0.0380 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0566 loss: 0.1757 2022/08/26 20:08:18 - mmengine - INFO - Epoch(train) [306][20/63] lr: 1.0000e-05 eta: 19:46:59 time: 1.4264 data_time: 0.0603 memory: 28971 loss_text: 0.1162 loss_kernel: 0.0558 loss: 0.1719 2022/08/26 20:08:26 - mmengine - INFO - Epoch(train) [306][25/63] lr: 1.0000e-05 eta: 19:46:59 time: 1.3285 data_time: 0.0706 memory: 28971 loss_text: 0.1149 loss_kernel: 0.0549 loss: 0.1698 2022/08/26 20:08:32 - mmengine - INFO - Epoch(train) [306][30/63] lr: 1.0000e-05 eta: 19:45:57 time: 1.4101 data_time: 0.0572 memory: 28971 loss_text: 0.1023 loss_kernel: 0.0480 loss: 0.1503 2022/08/26 20:08:37 - mmengine - INFO - Epoch(train) [306][35/63] lr: 1.0000e-05 eta: 19:45:57 time: 1.0458 data_time: 0.0589 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0626 loss: 0.1976 2022/08/26 20:08:42 - mmengine - INFO - Epoch(train) [306][40/63] lr: 1.0000e-05 eta: 19:44:52 time: 1.0313 data_time: 0.0442 memory: 28971 loss_text: 0.1179 loss_kernel: 0.0564 loss: 0.1744 2022/08/26 20:08:47 - mmengine - INFO - Epoch(train) [306][45/63] lr: 1.0000e-05 eta: 19:44:52 time: 1.0141 data_time: 0.0533 memory: 28971 loss_text: 0.1060 loss_kernel: 0.0504 loss: 0.1564 2022/08/26 20:08:52 - mmengine - INFO - Epoch(train) [306][50/63] lr: 1.0000e-05 eta: 19:43:46 time: 1.0153 data_time: 0.0586 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0674 loss: 0.2139 2022/08/26 20:09:02 - mmengine - INFO - Epoch(train) [306][55/63] lr: 1.0000e-05 eta: 19:43:46 time: 1.5513 data_time: 0.0868 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0643 loss: 0.1996 2022/08/26 20:09:12 - mmengine - INFO - Epoch(train) [306][60/63] lr: 1.0000e-05 eta: 19:42:50 time: 1.9282 data_time: 0.1732 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0684 loss: 0.2126 2022/08/26 20:09:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:10:52 - mmengine - INFO - Epoch(train) [307][5/63] lr: 1.0000e-05 eta: 19:42:50 time: 10.5679 data_time: 8.6270 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0744 loss: 0.2353 2022/08/26 20:10:57 - mmengine - INFO - Epoch(train) [307][10/63] lr: 1.0000e-05 eta: 19:42:49 time: 10.0386 data_time: 8.6137 memory: 28971 loss_text: 0.1474 loss_kernel: 0.0696 loss: 0.2170 2022/08/26 20:11:07 - mmengine - INFO - Epoch(train) [307][15/63] lr: 1.0000e-05 eta: 19:42:49 time: 1.4704 data_time: 0.0722 memory: 28971 loss_text: 0.1171 loss_kernel: 0.0573 loss: 0.1744 2022/08/26 20:11:11 - mmengine - INFO - Epoch(train) [307][20/63] lr: 1.0000e-05 eta: 19:41:47 time: 1.4609 data_time: 0.0681 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0603 loss: 0.1862 2022/08/26 20:11:30 - mmengine - INFO - Epoch(train) [307][25/63] lr: 1.0000e-05 eta: 19:41:47 time: 2.2132 data_time: 0.0638 memory: 28971 loss_text: 0.1566 loss_kernel: 0.0726 loss: 0.2292 2022/08/26 20:11:36 - mmengine - INFO - Epoch(train) [307][30/63] lr: 1.0000e-05 eta: 19:40:56 time: 2.4835 data_time: 0.1846 memory: 28971 loss_text: 0.1762 loss_kernel: 0.0807 loss: 0.2568 2022/08/26 20:11:58 - mmengine - INFO - Epoch(train) [307][35/63] lr: 1.0000e-05 eta: 19:40:56 time: 2.8479 data_time: 0.1820 memory: 28971 loss_text: 0.1441 loss_kernel: 0.0673 loss: 0.2114 2022/08/26 20:12:03 - mmengine - INFO - Epoch(train) [307][40/63] lr: 1.0000e-05 eta: 19:40:07 time: 2.6889 data_time: 0.1169 memory: 28971 loss_text: 0.0940 loss_kernel: 0.0466 loss: 0.1407 2022/08/26 20:12:23 - mmengine - INFO - Epoch(train) [307][45/63] lr: 1.0000e-05 eta: 19:40:07 time: 2.5220 data_time: 0.1799 memory: 28971 loss_text: 0.1127 loss_kernel: 0.0540 loss: 0.1667 2022/08/26 20:12:48 - mmengine - INFO - Epoch(train) [307][50/63] lr: 1.0000e-05 eta: 19:39:35 time: 4.4490 data_time: 0.1439 memory: 28971 loss_text: 0.1201 loss_kernel: 0.0566 loss: 0.1767 2022/08/26 20:13:19 - mmengine - INFO - Epoch(train) [307][55/63] lr: 1.0000e-05 eta: 19:39:35 time: 5.5444 data_time: 0.5274 memory: 28971 loss_text: 0.0840 loss_kernel: 0.0420 loss: 0.1260 2022/08/26 20:13:49 - mmengine - INFO - Epoch(train) [307][60/63] lr: 1.0000e-05 eta: 19:39:18 time: 6.0814 data_time: 0.7745 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0558 loss: 0.1702 2022/08/26 20:13:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:15:54 - mmengine - INFO - Epoch(train) [308][5/63] lr: 1.0000e-05 eta: 19:39:18 time: 12.6915 data_time: 10.0413 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0511 loss: 0.1566 2022/08/26 20:16:10 - mmengine - INFO - Epoch(train) [308][10/63] lr: 1.0000e-05 eta: 19:39:50 time: 13.6379 data_time: 10.0318 memory: 28971 loss_text: 0.1019 loss_kernel: 0.0489 loss: 0.1508 2022/08/26 20:16:16 - mmengine - INFO - Epoch(train) [308][15/63] lr: 1.0000e-05 eta: 19:39:50 time: 2.2591 data_time: 0.1661 memory: 28971 loss_text: 0.0816 loss_kernel: 0.0398 loss: 0.1215 2022/08/26 20:16:35 - mmengine - INFO - Epoch(train) [308][20/63] lr: 1.0000e-05 eta: 19:38:59 time: 2.4795 data_time: 0.1599 memory: 28971 loss_text: 0.0810 loss_kernel: 0.0399 loss: 0.1209 2022/08/26 20:16:40 - mmengine - INFO - Epoch(train) [308][25/63] lr: 1.0000e-05 eta: 19:38:59 time: 2.4266 data_time: 0.1598 memory: 28971 loss_text: 0.1022 loss_kernel: 0.0499 loss: 0.1522 2022/08/26 20:16:59 - mmengine - INFO - Epoch(train) [308][30/63] lr: 1.0000e-05 eta: 19:38:07 time: 2.3654 data_time: 0.1507 memory: 28971 loss_text: 0.1021 loss_kernel: 0.0490 loss: 0.1512 2022/08/26 20:17:18 - mmengine - INFO - Epoch(train) [308][35/63] lr: 1.0000e-05 eta: 19:38:07 time: 3.6907 data_time: 0.1824 memory: 28971 loss_text: 0.1069 loss_kernel: 0.0505 loss: 0.1574 2022/08/26 20:17:24 - mmengine - INFO - Epoch(train) [308][40/63] lr: 1.0000e-05 eta: 19:37:16 time: 2.5029 data_time: 0.2600 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0608 loss: 0.1934 2022/08/26 20:17:41 - mmengine - INFO - Epoch(train) [308][45/63] lr: 1.0000e-05 eta: 19:37:16 time: 2.3476 data_time: 0.1952 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0586 loss: 0.1842 2022/08/26 20:18:01 - mmengine - INFO - Epoch(train) [308][50/63] lr: 1.0000e-05 eta: 19:36:36 time: 3.7171 data_time: 0.1940 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0653 loss: 0.2031 2022/08/26 20:18:20 - mmengine - INFO - Epoch(train) [308][55/63] lr: 1.0000e-05 eta: 19:36:36 time: 3.9012 data_time: 0.2951 memory: 28971 loss_text: 0.1532 loss_kernel: 0.0712 loss: 0.2244 2022/08/26 20:18:44 - mmengine - INFO - Epoch(train) [308][60/63] lr: 1.0000e-05 eta: 19:36:01 time: 4.1990 data_time: 0.3179 memory: 28971 loss_text: 0.1335 loss_kernel: 0.0631 loss: 0.1966 2022/08/26 20:18:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:20:48 - mmengine - INFO - Epoch(train) [309][5/63] lr: 1.0000e-05 eta: 19:36:01 time: 12.7366 data_time: 9.8752 memory: 28971 loss_text: 0.1286 loss_kernel: 0.0613 loss: 0.1898 2022/08/26 20:20:54 - mmengine - INFO - Epoch(train) [309][10/63] lr: 1.0000e-05 eta: 19:36:12 time: 11.3908 data_time: 9.7038 memory: 28971 loss_text: 0.1112 loss_kernel: 0.0535 loss: 0.1647 2022/08/26 20:21:10 - mmengine - INFO - Epoch(train) [309][15/63] lr: 1.0000e-05 eta: 19:36:12 time: 2.1700 data_time: 0.0681 memory: 28971 loss_text: 0.1025 loss_kernel: 0.0496 loss: 0.1522 2022/08/26 20:21:15 - mmengine - INFO - Epoch(train) [309][20/63] lr: 1.0000e-05 eta: 19:35:18 time: 2.1487 data_time: 0.0631 memory: 28971 loss_text: 0.1022 loss_kernel: 0.0493 loss: 0.1514 2022/08/26 20:21:35 - mmengine - INFO - Epoch(train) [309][25/63] lr: 1.0000e-05 eta: 19:35:18 time: 2.5475 data_time: 0.0914 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0604 loss: 0.1911 2022/08/26 20:21:49 - mmengine - INFO - Epoch(train) [309][30/63] lr: 1.0000e-05 eta: 19:34:36 time: 3.4350 data_time: 0.0926 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0628 loss: 0.2007 2022/08/26 20:21:58 - mmengine - INFO - Epoch(train) [309][35/63] lr: 1.0000e-05 eta: 19:34:36 time: 2.3077 data_time: 0.1051 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0571 loss: 0.1807 2022/08/26 20:22:11 - mmengine - INFO - Epoch(train) [309][40/63] lr: 1.0000e-05 eta: 19:33:41 time: 2.1412 data_time: 0.0741 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0597 loss: 0.1891 2022/08/26 20:22:18 - mmengine - INFO - Epoch(train) [309][45/63] lr: 1.0000e-05 eta: 19:33:41 time: 1.9254 data_time: 0.0524 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0691 loss: 0.2195 2022/08/26 20:22:23 - mmengine - INFO - Epoch(train) [309][50/63] lr: 1.0000e-05 eta: 19:32:38 time: 1.1918 data_time: 0.0962 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0647 loss: 0.2019 2022/08/26 20:22:42 - mmengine - INFO - Epoch(train) [309][55/63] lr: 1.0000e-05 eta: 19:32:38 time: 2.3926 data_time: 0.0762 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0606 loss: 0.1882 2022/08/26 20:22:48 - mmengine - INFO - Epoch(train) [309][60/63] lr: 1.0000e-05 eta: 19:31:47 time: 2.5338 data_time: 0.2467 memory: 28971 loss_text: 0.1538 loss_kernel: 0.0708 loss: 0.2247 2022/08/26 20:23:06 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:24:49 - mmengine - INFO - Epoch(train) [310][5/63] lr: 1.0000e-05 eta: 19:31:47 time: 12.2088 data_time: 9.1480 memory: 28971 loss_text: 0.1486 loss_kernel: 0.0683 loss: 0.2169 2022/08/26 20:24:54 - mmengine - INFO - Epoch(train) [310][10/63] lr: 1.0000e-05 eta: 19:31:51 time: 10.7082 data_time: 9.1634 memory: 28971 loss_text: 0.1523 loss_kernel: 0.0709 loss: 0.2233 2022/08/26 20:25:09 - mmengine - INFO - Epoch(train) [310][15/63] lr: 1.0000e-05 eta: 19:31:51 time: 1.9992 data_time: 0.0681 memory: 28971 loss_text: 0.1716 loss_kernel: 0.0788 loss: 0.2504 2022/08/26 20:25:14 - mmengine - INFO - Epoch(train) [310][20/63] lr: 1.0000e-05 eta: 19:30:56 time: 1.9899 data_time: 0.0848 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0727 loss: 0.2323 2022/08/26 20:25:32 - mmengine - INFO - Epoch(train) [310][25/63] lr: 1.0000e-05 eta: 19:30:56 time: 2.2791 data_time: 0.1255 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0679 loss: 0.2151 2022/08/26 20:25:50 - mmengine - INFO - Epoch(train) [310][30/63] lr: 1.0000e-05 eta: 19:30:15 time: 3.6150 data_time: 0.1322 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0689 loss: 0.2182 2022/08/26 20:26:10 - mmengine - INFO - Epoch(train) [310][35/63] lr: 1.0000e-05 eta: 19:30:15 time: 3.6073 data_time: 0.1388 memory: 28971 loss_text: 0.1251 loss_kernel: 0.0586 loss: 0.1837 2022/08/26 20:26:21 - mmengine - INFO - Epoch(train) [310][40/63] lr: 1.0000e-05 eta: 19:29:29 time: 3.0487 data_time: 0.3474 memory: 28971 loss_text: 0.1119 loss_kernel: 0.0543 loss: 0.1663 2022/08/26 20:26:42 - mmengine - INFO - Epoch(train) [310][45/63] lr: 1.0000e-05 eta: 19:29:29 time: 3.4186 data_time: 0.2966 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0593 loss: 0.1838 2022/08/26 20:26:50 - mmengine - INFO - Epoch(train) [310][50/63] lr: 1.0000e-05 eta: 19:28:43 time: 2.9556 data_time: 0.1125 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0626 loss: 0.1964 2022/08/26 20:27:23 - mmengine - INFO - Epoch(train) [310][55/63] lr: 1.0000e-05 eta: 19:28:43 time: 4.0745 data_time: 0.2649 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0611 loss: 0.1909 2022/08/26 20:27:47 - mmengine - INFO - Epoch(train) [310][60/63] lr: 1.0000e-05 eta: 19:28:21 time: 5.6076 data_time: 0.2809 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0604 loss: 0.1881 2022/08/26 20:27:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:29:46 - mmengine - INFO - Epoch(train) [311][5/63] lr: 1.0000e-05 eta: 19:28:21 time: 13.8856 data_time: 10.0561 memory: 28971 loss_text: 0.1439 loss_kernel: 0.0668 loss: 0.2107 2022/08/26 20:29:51 - mmengine - INFO - Epoch(train) [311][10/63] lr: 1.0000e-05 eta: 19:28:36 time: 11.9156 data_time: 10.0325 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0626 loss: 0.1979 2022/08/26 20:30:10 - mmengine - INFO - Epoch(train) [311][15/63] lr: 1.0000e-05 eta: 19:28:36 time: 2.4292 data_time: 0.1559 memory: 28971 loss_text: 0.1549 loss_kernel: 0.0709 loss: 0.2257 2022/08/26 20:30:16 - mmengine - INFO - Epoch(train) [311][20/63] lr: 1.0000e-05 eta: 19:27:44 time: 2.4205 data_time: 0.1663 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0720 loss: 0.2290 2022/08/26 20:30:34 - mmengine - INFO - Epoch(train) [311][25/63] lr: 1.0000e-05 eta: 19:27:44 time: 2.4011 data_time: 0.2757 memory: 28971 loss_text: 0.1244 loss_kernel: 0.0578 loss: 0.1822 2022/08/26 20:30:39 - mmengine - INFO - Epoch(train) [311][30/63] lr: 1.0000e-05 eta: 19:26:52 time: 2.3243 data_time: 0.2349 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0539 loss: 0.1731 2022/08/26 20:30:56 - mmengine - INFO - Epoch(train) [311][35/63] lr: 1.0000e-05 eta: 19:26:52 time: 2.1293 data_time: 0.1264 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0543 loss: 0.1724 2022/08/26 20:31:01 - mmengine - INFO - Epoch(train) [311][40/63] lr: 1.0000e-05 eta: 19:25:58 time: 2.1963 data_time: 0.1556 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0564 loss: 0.1741 2022/08/26 20:31:22 - mmengine - INFO - Epoch(train) [311][45/63] lr: 1.0000e-05 eta: 19:25:58 time: 2.6232 data_time: 0.1176 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0664 loss: 0.2073 2022/08/26 20:31:27 - mmengine - INFO - Epoch(train) [311][50/63] lr: 1.0000e-05 eta: 19:25:08 time: 2.6246 data_time: 0.1425 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0621 loss: 0.1926 2022/08/26 20:31:46 - mmengine - INFO - Epoch(train) [311][55/63] lr: 1.0000e-05 eta: 19:25:08 time: 2.3615 data_time: 0.2242 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0609 loss: 0.1885 2022/08/26 20:32:08 - mmengine - INFO - Epoch(train) [311][60/63] lr: 1.0000e-05 eta: 19:24:32 time: 4.0405 data_time: 0.2452 memory: 28971 loss_text: 0.1242 loss_kernel: 0.0591 loss: 0.1833 2022/08/26 20:32:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:34:21 - mmengine - INFO - Epoch(train) [312][5/63] lr: 1.0000e-05 eta: 19:24:32 time: 13.4650 data_time: 10.3574 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0604 loss: 0.1870 2022/08/26 20:34:52 - mmengine - INFO - Epoch(train) [312][10/63] lr: 1.0000e-05 eta: 19:25:22 time: 15.7988 data_time: 10.3626 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0685 loss: 0.2131 2022/08/26 20:34:57 - mmengine - INFO - Epoch(train) [312][15/63] lr: 1.0000e-05 eta: 19:25:22 time: 3.6223 data_time: 0.1262 memory: 28971 loss_text: 0.1325 loss_kernel: 0.0630 loss: 0.1955 2022/08/26 20:35:24 - mmengine - INFO - Epoch(train) [312][20/63] lr: 1.0000e-05 eta: 19:24:38 time: 3.1891 data_time: 0.2179 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0551 loss: 0.1695 2022/08/26 20:35:29 - mmengine - INFO - Epoch(train) [312][25/63] lr: 1.0000e-05 eta: 19:24:38 time: 3.2017 data_time: 0.2406 memory: 28971 loss_text: 0.1389 loss_kernel: 0.0653 loss: 0.2042 2022/08/26 20:35:50 - mmengine - INFO - Epoch(train) [312][30/63] lr: 1.0000e-05 eta: 19:23:47 time: 2.5011 data_time: 0.2082 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0618 loss: 0.1922 2022/08/26 20:36:04 - mmengine - INFO - Epoch(train) [312][35/63] lr: 1.0000e-05 eta: 19:23:47 time: 3.4655 data_time: 0.1962 memory: 28971 loss_text: 0.1033 loss_kernel: 0.0498 loss: 0.1531 2022/08/26 20:36:14 - mmengine - INFO - Epoch(train) [312][40/63] lr: 1.0000e-05 eta: 19:22:56 time: 2.4427 data_time: 0.1586 memory: 28971 loss_text: 0.1129 loss_kernel: 0.0533 loss: 0.1662 2022/08/26 20:36:18 - mmengine - INFO - Epoch(train) [312][45/63] lr: 1.0000e-05 eta: 19:22:56 time: 1.4503 data_time: 0.1286 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0599 loss: 0.1864 2022/08/26 20:36:33 - mmengine - INFO - Epoch(train) [312][50/63] lr: 1.0000e-05 eta: 19:22:00 time: 1.9636 data_time: 0.1191 memory: 28971 loss_text: 0.1394 loss_kernel: 0.0648 loss: 0.2042 2022/08/26 20:36:38 - mmengine - INFO - Epoch(train) [312][55/63] lr: 1.0000e-05 eta: 19:22:00 time: 2.0041 data_time: 0.1250 memory: 28971 loss_text: 0.1076 loss_kernel: 0.0510 loss: 0.1586 2022/08/26 20:37:01 - mmengine - INFO - Epoch(train) [312][60/63] lr: 1.0000e-05 eta: 19:21:11 time: 2.7146 data_time: 0.0692 memory: 28971 loss_text: 0.1039 loss_kernel: 0.0479 loss: 0.1518 2022/08/26 20:37:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:39:21 - mmengine - INFO - Epoch(train) [313][5/63] lr: 1.0000e-05 eta: 19:21:11 time: 14.1388 data_time: 10.1058 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0568 loss: 0.1723 2022/08/26 20:39:31 - mmengine - INFO - Epoch(train) [313][10/63] lr: 1.0000e-05 eta: 19:21:37 time: 13.1650 data_time: 10.0654 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0609 loss: 0.1875 2022/08/26 20:39:49 - mmengine - INFO - Epoch(train) [313][15/63] lr: 1.0000e-05 eta: 19:21:37 time: 2.8560 data_time: 0.1900 memory: 28971 loss_text: 0.1092 loss_kernel: 0.0517 loss: 0.1609 2022/08/26 20:40:11 - mmengine - INFO - Epoch(train) [313][20/63] lr: 1.0000e-05 eta: 19:20:59 time: 3.9563 data_time: 0.3731 memory: 28971 loss_text: 0.0914 loss_kernel: 0.0450 loss: 0.1364 2022/08/26 20:40:16 - mmengine - INFO - Epoch(train) [313][25/63] lr: 1.0000e-05 eta: 19:20:59 time: 2.6605 data_time: 0.2658 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0588 loss: 0.1820 2022/08/26 20:40:34 - mmengine - INFO - Epoch(train) [313][30/63] lr: 1.0000e-05 eta: 19:20:07 time: 2.3187 data_time: 0.1122 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0615 loss: 0.1915 2022/08/26 20:40:39 - mmengine - INFO - Epoch(train) [313][35/63] lr: 1.0000e-05 eta: 19:20:07 time: 2.3700 data_time: 0.1501 memory: 28971 loss_text: 0.1118 loss_kernel: 0.0530 loss: 0.1649 2022/08/26 20:40:59 - mmengine - INFO - Epoch(train) [313][40/63] lr: 1.0000e-05 eta: 19:19:16 time: 2.5004 data_time: 0.1605 memory: 28971 loss_text: 0.1059 loss_kernel: 0.0509 loss: 0.1567 2022/08/26 20:41:05 - mmengine - INFO - Epoch(train) [313][45/63] lr: 1.0000e-05 eta: 19:19:16 time: 2.5482 data_time: 0.1788 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0620 loss: 0.1915 2022/08/26 20:41:27 - mmengine - INFO - Epoch(train) [313][50/63] lr: 1.0000e-05 eta: 19:18:27 time: 2.6826 data_time: 0.2428 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0621 loss: 0.1995 2022/08/26 20:41:46 - mmengine - INFO - Epoch(train) [313][55/63] lr: 1.0000e-05 eta: 19:18:27 time: 4.0600 data_time: 0.2534 memory: 28971 loss_text: 0.1405 loss_kernel: 0.0624 loss: 0.2030 2022/08/26 20:42:03 - mmengine - INFO - Epoch(train) [313][60/63] lr: 1.0000e-05 eta: 19:17:47 time: 3.6722 data_time: 0.3271 memory: 28971 loss_text: 0.1473 loss_kernel: 0.0688 loss: 0.2161 2022/08/26 20:42:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:44:13 - mmengine - INFO - Epoch(train) [314][5/63] lr: 1.0000e-05 eta: 19:17:47 time: 14.2398 data_time: 9.7195 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0620 loss: 0.1914 2022/08/26 20:44:31 - mmengine - INFO - Epoch(train) [314][10/63] lr: 1.0000e-05 eta: 19:18:13 time: 13.3152 data_time: 9.7605 memory: 28971 loss_text: 0.1209 loss_kernel: 0.0572 loss: 0.1781 2022/08/26 20:44:36 - mmengine - INFO - Epoch(train) [314][15/63] lr: 1.0000e-05 eta: 19:18:13 time: 2.3490 data_time: 0.1819 memory: 28971 loss_text: 0.0818 loss_kernel: 0.0408 loss: 0.1226 2022/08/26 20:44:53 - mmengine - INFO - Epoch(train) [314][20/63] lr: 1.0000e-05 eta: 19:17:19 time: 2.1661 data_time: 0.0992 memory: 28971 loss_text: 0.1255 loss_kernel: 0.0604 loss: 0.1859 2022/08/26 20:45:00 - mmengine - INFO - Epoch(train) [314][25/63] lr: 1.0000e-05 eta: 19:17:19 time: 2.4051 data_time: 0.1443 memory: 28971 loss_text: 0.1463 loss_kernel: 0.0691 loss: 0.2154 2022/08/26 20:45:18 - mmengine - INFO - Epoch(train) [314][30/63] lr: 1.0000e-05 eta: 19:16:29 time: 2.5119 data_time: 0.2314 memory: 28971 loss_text: 0.1241 loss_kernel: 0.0590 loss: 0.1831 2022/08/26 20:45:23 - mmengine - INFO - Epoch(train) [314][35/63] lr: 1.0000e-05 eta: 19:16:29 time: 2.2334 data_time: 0.1706 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0551 loss: 0.1734 2022/08/26 20:45:42 - mmengine - INFO - Epoch(train) [314][40/63] lr: 1.0000e-05 eta: 19:15:37 time: 2.3746 data_time: 0.1597 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0652 loss: 0.2068 2022/08/26 20:45:46 - mmengine - INFO - Epoch(train) [314][45/63] lr: 1.0000e-05 eta: 19:15:37 time: 2.3901 data_time: 0.1564 memory: 28971 loss_text: 0.1577 loss_kernel: 0.0726 loss: 0.2303 2022/08/26 20:46:05 - mmengine - INFO - Epoch(train) [314][50/63] lr: 1.0000e-05 eta: 19:14:45 time: 2.3628 data_time: 0.1802 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0607 loss: 0.1914 2022/08/26 20:46:23 - mmengine - INFO - Epoch(train) [314][55/63] lr: 1.0000e-05 eta: 19:14:45 time: 3.5861 data_time: 0.1719 memory: 28971 loss_text: 0.1217 loss_kernel: 0.0555 loss: 0.1772 2022/08/26 20:46:35 - mmengine - INFO - Epoch(train) [314][60/63] lr: 1.0000e-05 eta: 19:13:59 time: 3.0211 data_time: 0.2135 memory: 28971 loss_text: 0.1112 loss_kernel: 0.0517 loss: 0.1630 2022/08/26 20:46:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:48:32 - mmengine - INFO - Epoch(train) [315][5/63] lr: 1.0000e-05 eta: 19:13:59 time: 11.8491 data_time: 9.7394 memory: 28971 loss_text: 0.1115 loss_kernel: 0.0533 loss: 0.1649 2022/08/26 20:48:37 - mmengine - INFO - Epoch(train) [315][10/63] lr: 1.0000e-05 eta: 19:14:11 time: 11.8259 data_time: 9.7859 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0669 loss: 0.2124 2022/08/26 20:48:58 - mmengine - INFO - Epoch(train) [315][15/63] lr: 1.0000e-05 eta: 19:14:11 time: 2.5682 data_time: 0.1307 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0601 loss: 0.1877 2022/08/26 20:49:05 - mmengine - INFO - Epoch(train) [315][20/63] lr: 1.0000e-05 eta: 19:13:23 time: 2.7448 data_time: 0.1515 memory: 28971 loss_text: 0.1123 loss_kernel: 0.0539 loss: 0.1662 2022/08/26 20:49:27 - mmengine - INFO - Epoch(train) [315][25/63] lr: 1.0000e-05 eta: 19:13:23 time: 2.9212 data_time: 0.1623 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0552 loss: 0.1743 2022/08/26 20:49:50 - mmengine - INFO - Epoch(train) [315][30/63] lr: 1.0000e-05 eta: 19:12:50 time: 4.5054 data_time: 0.4237 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0554 loss: 0.1735 2022/08/26 20:49:55 - mmengine - INFO - Epoch(train) [315][35/63] lr: 1.0000e-05 eta: 19:12:50 time: 2.7930 data_time: 0.4359 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0577 loss: 0.1766 2022/08/26 20:50:16 - mmengine - INFO - Epoch(train) [315][40/63] lr: 1.0000e-05 eta: 19:12:00 time: 2.5575 data_time: 0.0966 memory: 28971 loss_text: 0.1263 loss_kernel: 0.0611 loss: 0.1874 2022/08/26 20:50:33 - mmengine - INFO - Epoch(train) [315][45/63] lr: 1.0000e-05 eta: 19:12:00 time: 3.7531 data_time: 0.1246 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0658 loss: 0.2069 2022/08/26 20:50:59 - mmengine - INFO - Epoch(train) [315][50/63] lr: 1.0000e-05 eta: 19:11:26 time: 4.3352 data_time: 0.2801 memory: 28971 loss_text: 0.1630 loss_kernel: 0.0746 loss: 0.2377 2022/08/26 20:51:17 - mmengine - INFO - Epoch(train) [315][55/63] lr: 1.0000e-05 eta: 19:11:26 time: 4.3988 data_time: 0.2414 memory: 28971 loss_text: 0.1538 loss_kernel: 0.0714 loss: 0.2252 2022/08/26 20:51:42 - mmengine - INFO - Epoch(train) [315][60/63] lr: 1.0000e-05 eta: 19:10:51 time: 4.2496 data_time: 0.1500 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0697 loss: 0.2190 2022/08/26 20:52:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:53:53 - mmengine - INFO - Epoch(train) [316][5/63] lr: 1.0000e-05 eta: 19:10:51 time: 13.3906 data_time: 9.6385 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0555 loss: 0.1761 2022/08/26 20:53:59 - mmengine - INFO - Epoch(train) [316][10/63] lr: 1.0000e-05 eta: 19:11:02 time: 11.6833 data_time: 9.5297 memory: 28971 loss_text: 0.1031 loss_kernel: 0.0474 loss: 0.1506 2022/08/26 20:54:19 - mmengine - INFO - Epoch(train) [316][15/63] lr: 1.0000e-05 eta: 19:11:02 time: 2.5288 data_time: 0.0891 memory: 28971 loss_text: 0.0851 loss_kernel: 0.0401 loss: 0.1252 2022/08/26 20:54:24 - mmengine - INFO - Epoch(train) [316][20/63] lr: 1.0000e-05 eta: 19:10:11 time: 2.4420 data_time: 0.1372 memory: 28971 loss_text: 0.0954 loss_kernel: 0.0459 loss: 0.1413 2022/08/26 20:54:42 - mmengine - INFO - Epoch(train) [316][25/63] lr: 1.0000e-05 eta: 19:10:11 time: 2.3286 data_time: 0.1523 memory: 28971 loss_text: 0.1332 loss_kernel: 0.0634 loss: 0.1967 2022/08/26 20:55:04 - mmengine - INFO - Epoch(train) [316][30/63] lr: 1.0000e-05 eta: 19:09:34 time: 4.0837 data_time: 0.2602 memory: 28971 loss_text: 0.1805 loss_kernel: 0.0826 loss: 0.2631 2022/08/26 20:55:09 - mmengine - INFO - Epoch(train) [316][35/63] lr: 1.0000e-05 eta: 19:09:34 time: 2.7666 data_time: 0.2734 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0764 loss: 0.2406 2022/08/26 20:55:31 - mmengine - INFO - Epoch(train) [316][40/63] lr: 1.0000e-05 eta: 19:08:45 time: 2.6425 data_time: 0.1193 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0653 loss: 0.2036 2022/08/26 20:55:54 - mmengine - INFO - Epoch(train) [316][45/63] lr: 1.0000e-05 eta: 19:08:45 time: 4.5138 data_time: 0.1393 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0578 loss: 0.1813 2022/08/26 20:55:59 - mmengine - INFO - Epoch(train) [316][50/63] lr: 1.0000e-05 eta: 19:07:58 time: 2.8806 data_time: 0.1680 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0582 loss: 0.1808 2022/08/26 20:56:19 - mmengine - INFO - Epoch(train) [316][55/63] lr: 1.0000e-05 eta: 19:07:58 time: 2.4646 data_time: 0.0912 memory: 28971 loss_text: 0.1342 loss_kernel: 0.0636 loss: 0.1979 2022/08/26 20:56:27 - mmengine - INFO - Epoch(train) [316][60/63] lr: 1.0000e-05 eta: 19:07:09 time: 2.7571 data_time: 0.1893 memory: 28971 loss_text: 0.1448 loss_kernel: 0.0680 loss: 0.2128 2022/08/26 20:56:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 20:58:20 - mmengine - INFO - Epoch(train) [317][5/63] lr: 1.0000e-05 eta: 19:07:09 time: 11.4475 data_time: 9.5822 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0684 loss: 0.2135 2022/08/26 20:58:45 - mmengine - INFO - Epoch(train) [317][10/63] lr: 1.0000e-05 eta: 19:07:35 time: 13.4441 data_time: 9.6215 memory: 28971 loss_text: 0.1405 loss_kernel: 0.0658 loss: 0.2063 2022/08/26 20:58:54 - mmengine - INFO - Epoch(train) [317][15/63] lr: 1.0000e-05 eta: 19:07:35 time: 3.3498 data_time: 0.2615 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0577 loss: 0.1793 2022/08/26 20:59:17 - mmengine - INFO - Epoch(train) [317][20/63] lr: 1.0000e-05 eta: 19:06:52 time: 3.3102 data_time: 0.2700 memory: 28971 loss_text: 0.1252 loss_kernel: 0.0603 loss: 0.1854 2022/08/26 20:59:45 - mmengine - INFO - Epoch(train) [317][25/63] lr: 1.0000e-05 eta: 19:06:52 time: 5.1196 data_time: 0.1313 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0615 loss: 0.1910 2022/08/26 20:59:50 - mmengine - INFO - Epoch(train) [317][30/63] lr: 1.0000e-05 eta: 19:06:08 time: 3.2566 data_time: 0.1565 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0589 loss: 0.1820 2022/08/26 21:00:22 - mmengine - INFO - Epoch(train) [317][35/63] lr: 1.0000e-05 eta: 19:06:08 time: 3.7304 data_time: 0.2937 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0604 loss: 0.1864 2022/08/26 21:00:27 - mmengine - INFO - Epoch(train) [317][40/63] lr: 1.0000e-05 eta: 19:05:28 time: 3.7016 data_time: 0.2693 memory: 28971 loss_text: 0.1167 loss_kernel: 0.0540 loss: 0.1708 2022/08/26 21:00:47 - mmengine - INFO - Epoch(train) [317][45/63] lr: 1.0000e-05 eta: 19:05:28 time: 2.5046 data_time: 0.0882 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0558 loss: 0.1773 2022/08/26 21:00:53 - mmengine - INFO - Epoch(train) [317][50/63] lr: 1.0000e-05 eta: 19:04:38 time: 2.5643 data_time: 0.1357 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0634 loss: 0.1971 2022/08/26 21:01:15 - mmengine - INFO - Epoch(train) [317][55/63] lr: 1.0000e-05 eta: 19:04:38 time: 2.7097 data_time: 0.1444 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0659 loss: 0.2035 2022/08/26 21:01:38 - mmengine - INFO - Epoch(train) [317][60/63] lr: 1.0000e-05 eta: 19:04:06 time: 4.5303 data_time: 0.1954 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0694 loss: 0.2190 2022/08/26 21:01:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:04:00 - mmengine - INFO - Epoch(train) [318][5/63] lr: 1.0000e-05 eta: 19:04:06 time: 14.2918 data_time: 10.1635 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0571 loss: 0.1790 2022/08/26 21:04:21 - mmengine - INFO - Epoch(train) [318][10/63] lr: 1.0000e-05 eta: 19:04:39 time: 14.2844 data_time: 10.1197 memory: 28971 loss_text: 0.1070 loss_kernel: 0.0517 loss: 0.1588 2022/08/26 21:04:41 - mmengine - INFO - Epoch(train) [318][15/63] lr: 1.0000e-05 eta: 19:04:39 time: 4.0336 data_time: 0.1982 memory: 28971 loss_text: 0.1094 loss_kernel: 0.0533 loss: 0.1627 2022/08/26 21:04:45 - mmengine - INFO - Epoch(train) [318][20/63] lr: 1.0000e-05 eta: 19:03:48 time: 2.4570 data_time: 0.1713 memory: 28971 loss_text: 0.1543 loss_kernel: 0.0728 loss: 0.2270 2022/08/26 21:05:01 - mmengine - INFO - Epoch(train) [318][25/63] lr: 1.0000e-05 eta: 19:03:48 time: 2.0174 data_time: 0.0837 memory: 28971 loss_text: 0.2033 loss_kernel: 0.0934 loss: 0.2967 2022/08/26 21:05:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:05:10 - mmengine - INFO - Epoch(train) [318][30/63] lr: 1.0000e-05 eta: 19:02:57 time: 2.4811 data_time: 0.1747 memory: 28971 loss_text: 0.1824 loss_kernel: 0.0832 loss: 0.2655 2022/08/26 21:05:33 - mmengine - INFO - Epoch(train) [318][35/63] lr: 1.0000e-05 eta: 19:02:57 time: 3.2377 data_time: 0.3068 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0694 loss: 0.2177 2022/08/26 21:05:38 - mmengine - INFO - Epoch(train) [318][40/63] lr: 1.0000e-05 eta: 19:02:09 time: 2.7967 data_time: 0.1783 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0651 loss: 0.2059 2022/08/26 21:05:58 - mmengine - INFO - Epoch(train) [318][45/63] lr: 1.0000e-05 eta: 19:02:09 time: 2.4428 data_time: 0.1439 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0550 loss: 0.1741 2022/08/26 21:06:03 - mmengine - INFO - Epoch(train) [318][50/63] lr: 1.0000e-05 eta: 19:01:18 time: 2.5005 data_time: 0.1514 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0576 loss: 0.1801 2022/08/26 21:06:23 - mmengine - INFO - Epoch(train) [318][55/63] lr: 1.0000e-05 eta: 19:01:18 time: 2.4684 data_time: 0.0944 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0606 loss: 0.1902 2022/08/26 21:06:28 - mmengine - INFO - Epoch(train) [318][60/63] lr: 1.0000e-05 eta: 19:00:28 time: 2.5246 data_time: 0.2354 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0587 loss: 0.1863 2022/08/26 21:06:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:08:30 - mmengine - INFO - Epoch(train) [319][5/63] lr: 1.0000e-05 eta: 19:00:28 time: 12.1482 data_time: 9.8509 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0653 loss: 0.2072 2022/08/26 21:08:47 - mmengine - INFO - Epoch(train) [319][10/63] lr: 1.0000e-05 eta: 19:00:49 time: 12.9574 data_time: 9.9654 memory: 28971 loss_text: 0.1244 loss_kernel: 0.0592 loss: 0.1836 2022/08/26 21:08:54 - mmengine - INFO - Epoch(train) [319][15/63] lr: 1.0000e-05 eta: 19:00:49 time: 2.4413 data_time: 0.2177 memory: 28971 loss_text: 0.0906 loss_kernel: 0.0445 loss: 0.1351 2022/08/26 21:09:16 - mmengine - INFO - Epoch(train) [319][20/63] lr: 1.0000e-05 eta: 19:00:01 time: 2.8486 data_time: 0.1274 memory: 28971 loss_text: 0.0788 loss_kernel: 0.0393 loss: 0.1181 2022/08/26 21:09:21 - mmengine - INFO - Epoch(train) [319][25/63] lr: 1.0000e-05 eta: 19:00:01 time: 2.6980 data_time: 0.1238 memory: 28971 loss_text: 0.1111 loss_kernel: 0.0526 loss: 0.1638 2022/08/26 21:09:37 - mmengine - INFO - Epoch(train) [319][30/63] lr: 1.0000e-05 eta: 18:59:07 time: 2.1232 data_time: 0.1055 memory: 28971 loss_text: 0.1635 loss_kernel: 0.0743 loss: 0.2377 2022/08/26 21:09:43 - mmengine - INFO - Epoch(train) [319][35/63] lr: 1.0000e-05 eta: 18:59:07 time: 2.1590 data_time: 0.1283 memory: 28971 loss_text: 0.1435 loss_kernel: 0.0667 loss: 0.2102 2022/08/26 21:10:05 - mmengine - INFO - Epoch(train) [319][40/63] lr: 1.0000e-05 eta: 18:58:19 time: 2.7885 data_time: 0.1536 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0557 loss: 0.1717 2022/08/26 21:10:23 - mmengine - INFO - Epoch(train) [319][45/63] lr: 1.0000e-05 eta: 18:58:19 time: 3.8793 data_time: 0.1140 memory: 28971 loss_text: 0.1271 loss_kernel: 0.0591 loss: 0.1862 2022/08/26 21:10:33 - mmengine - INFO - Epoch(train) [319][50/63] lr: 1.0000e-05 eta: 18:57:32 time: 2.8075 data_time: 0.3951 memory: 28971 loss_text: 0.1286 loss_kernel: 0.0598 loss: 0.1883 2022/08/26 21:11:00 - mmengine - INFO - Epoch(train) [319][55/63] lr: 1.0000e-05 eta: 18:57:32 time: 3.8350 data_time: 0.4349 memory: 28971 loss_text: 0.1169 loss_kernel: 0.0553 loss: 0.1722 2022/08/26 21:11:06 - mmengine - INFO - Epoch(train) [319][60/63] lr: 1.0000e-05 eta: 18:56:48 time: 3.2709 data_time: 0.2650 memory: 28971 loss_text: 0.1414 loss_kernel: 0.0645 loss: 0.2059 2022/08/26 21:11:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:13:07 - mmengine - INFO - Epoch(train) [320][5/63] lr: 1.0000e-05 eta: 18:56:48 time: 12.2713 data_time: 8.7263 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0679 loss: 0.2149 2022/08/26 21:13:11 - mmengine - INFO - Epoch(train) [320][10/63] lr: 1.0000e-05 eta: 18:56:44 time: 10.2050 data_time: 8.6690 memory: 28971 loss_text: 0.1513 loss_kernel: 0.0708 loss: 0.2220 2022/08/26 21:13:23 - mmengine - INFO - Epoch(train) [320][15/63] lr: 1.0000e-05 eta: 18:56:44 time: 1.6227 data_time: 0.0525 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0625 loss: 0.1954 2022/08/26 21:13:28 - mmengine - INFO - Epoch(train) [320][20/63] lr: 1.0000e-05 eta: 18:55:45 time: 1.6192 data_time: 0.0593 memory: 28971 loss_text: 0.1002 loss_kernel: 0.0499 loss: 0.1501 2022/08/26 21:13:36 - mmengine - INFO - Epoch(train) [320][25/63] lr: 1.0000e-05 eta: 18:55:45 time: 1.3382 data_time: 0.0577 memory: 28971 loss_text: 0.1223 loss_kernel: 0.0589 loss: 0.1813 2022/08/26 21:13:45 - mmengine - INFO - Epoch(train) [320][30/63] lr: 1.0000e-05 eta: 18:54:48 time: 1.7197 data_time: 0.0524 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0657 loss: 0.2068 2022/08/26 21:13:50 - mmengine - INFO - Epoch(train) [320][35/63] lr: 1.0000e-05 eta: 18:54:48 time: 1.3478 data_time: 0.0669 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0595 loss: 0.1842 2022/08/26 21:14:02 - mmengine - INFO - Epoch(train) [320][40/63] lr: 1.0000e-05 eta: 18:53:51 time: 1.7608 data_time: 0.1416 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0551 loss: 0.1707 2022/08/26 21:14:07 - mmengine - INFO - Epoch(train) [320][45/63] lr: 1.0000e-05 eta: 18:53:51 time: 1.6948 data_time: 0.1394 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0658 loss: 0.2071 2022/08/26 21:14:17 - mmengine - INFO - Epoch(train) [320][50/63] lr: 1.0000e-05 eta: 18:52:52 time: 1.4421 data_time: 0.0451 memory: 28971 loss_text: 0.1448 loss_kernel: 0.0674 loss: 0.2122 2022/08/26 21:14:25 - mmengine - INFO - Epoch(train) [320][55/63] lr: 1.0000e-05 eta: 18:52:52 time: 1.7844 data_time: 0.1330 memory: 28971 loss_text: 0.1257 loss_kernel: 0.0593 loss: 0.1850 2022/08/26 21:14:29 - mmengine - INFO - Epoch(train) [320][60/63] lr: 1.0000e-05 eta: 18:51:50 time: 1.2297 data_time: 0.1309 memory: 28971 loss_text: 0.1282 loss_kernel: 0.0597 loss: 0.1879 2022/08/26 21:14:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:14:34 - mmengine - INFO - Saving checkpoint at 320 epochs 2022/08/26 21:15:16 - mmengine - INFO - Epoch(val) [320][5/500] eta: 18:51:50 time: 3.3934 data_time: 2.9261 memory: 28971 2022/08/26 21:15:16 - mmengine - INFO - Epoch(val) [320][10/500] eta: 0:27:39 time: 3.3866 data_time: 2.9185 memory: 3207 2022/08/26 21:15:17 - mmengine - INFO - Epoch(val) [320][15/500] eta: 0:27:39 time: 0.0979 data_time: 0.0118 memory: 3207 2022/08/26 21:15:17 - mmengine - INFO - Epoch(val) [320][20/500] eta: 0:00:42 time: 0.0890 data_time: 0.0025 memory: 3207 2022/08/26 21:15:18 - mmengine - INFO - Epoch(val) [320][25/500] eta: 0:00:42 time: 0.0833 data_time: 0.0025 memory: 3207 2022/08/26 21:15:18 - mmengine - INFO - Epoch(val) [320][30/500] eta: 0:00:40 time: 0.0871 data_time: 0.0026 memory: 3207 2022/08/26 21:15:18 - mmengine - INFO - Epoch(val) [320][35/500] eta: 0:00:40 time: 0.0924 data_time: 0.0069 memory: 3207 2022/08/26 21:15:19 - mmengine - INFO - Epoch(val) [320][40/500] eta: 0:00:43 time: 0.0936 data_time: 0.0069 memory: 3207 2022/08/26 21:15:19 - mmengine - INFO - Epoch(val) [320][45/500] eta: 0:00:43 time: 0.0899 data_time: 0.0027 memory: 3207 2022/08/26 21:15:20 - mmengine - INFO - Epoch(val) [320][50/500] eta: 0:00:38 time: 0.0864 data_time: 0.0026 memory: 3207 2022/08/26 21:15:20 - mmengine - INFO - Epoch(val) [320][55/500] eta: 0:00:38 time: 0.0864 data_time: 0.0027 memory: 3207 2022/08/26 21:15:21 - mmengine - INFO - Epoch(val) [320][60/500] eta: 0:00:37 time: 0.0847 data_time: 0.0038 memory: 3207 2022/08/26 21:15:21 - mmengine - INFO - Epoch(val) [320][65/500] eta: 0:00:37 time: 0.0851 data_time: 0.0037 memory: 3207 2022/08/26 21:15:22 - mmengine - INFO - Epoch(val) [320][70/500] eta: 0:00:45 time: 0.1068 data_time: 0.0162 memory: 3207 2022/08/26 21:15:22 - mmengine - INFO - Epoch(val) [320][75/500] eta: 0:00:45 time: 0.1042 data_time: 0.0163 memory: 3207 2022/08/26 21:15:23 - mmengine - INFO - Epoch(val) [320][80/500] eta: 0:00:34 time: 0.0832 data_time: 0.0028 memory: 3207 2022/08/26 21:15:23 - mmengine - INFO - Epoch(val) [320][85/500] eta: 0:00:34 time: 0.0891 data_time: 0.0027 memory: 3207 2022/08/26 21:15:23 - mmengine - INFO - Epoch(val) [320][90/500] eta: 0:00:37 time: 0.0915 data_time: 0.0027 memory: 3207 2022/08/26 21:15:24 - mmengine - INFO - Epoch(val) [320][95/500] eta: 0:00:37 time: 0.0877 data_time: 0.0027 memory: 3207 2022/08/26 21:15:24 - mmengine - INFO - Epoch(val) [320][100/500] eta: 0:00:33 time: 0.0847 data_time: 0.0029 memory: 3207 2022/08/26 21:15:25 - mmengine - INFO - Epoch(val) [320][105/500] eta: 0:00:33 time: 0.1509 data_time: 0.0030 memory: 3207 2022/08/26 21:15:30 - mmengine - INFO - Epoch(val) [320][110/500] eta: 0:03:34 time: 0.5489 data_time: 0.0485 memory: 3207 2022/08/26 21:15:31 - mmengine - INFO - Epoch(val) [320][115/500] eta: 0:03:34 time: 0.5320 data_time: 0.0601 memory: 3207 2022/08/26 21:15:31 - mmengine - INFO - Epoch(val) [320][120/500] eta: 0:00:54 time: 0.1446 data_time: 0.0212 memory: 3207 2022/08/26 21:15:32 - mmengine - INFO - Epoch(val) [320][125/500] eta: 0:00:54 time: 0.1001 data_time: 0.0127 memory: 3207 2022/08/26 21:15:32 - mmengine - INFO - Epoch(val) [320][130/500] eta: 0:00:33 time: 0.0900 data_time: 0.0065 memory: 3207 2022/08/26 21:15:33 - mmengine - INFO - Epoch(val) [320][135/500] eta: 0:00:33 time: 0.0855 data_time: 0.0033 memory: 3207 2022/08/26 21:15:33 - mmengine - INFO - Epoch(val) [320][140/500] eta: 0:00:34 time: 0.0954 data_time: 0.0047 memory: 3207 2022/08/26 21:15:34 - mmengine - INFO - Epoch(val) [320][145/500] eta: 0:00:34 time: 0.0999 data_time: 0.0049 memory: 3207 2022/08/26 21:15:34 - mmengine - INFO - Epoch(val) [320][150/500] eta: 0:00:31 time: 0.0899 data_time: 0.0029 memory: 3207 2022/08/26 21:15:34 - mmengine - INFO - Epoch(val) [320][155/500] eta: 0:00:31 time: 0.0887 data_time: 0.0026 memory: 3207 2022/08/26 21:15:35 - mmengine - INFO - Epoch(val) [320][160/500] eta: 0:00:30 time: 0.0899 data_time: 0.0026 memory: 3207 2022/08/26 21:15:35 - mmengine - INFO - Epoch(val) [320][165/500] eta: 0:00:30 time: 0.0934 data_time: 0.0025 memory: 3207 2022/08/26 21:15:36 - mmengine - INFO - Epoch(val) [320][170/500] eta: 0:00:40 time: 0.1219 data_time: 0.0105 memory: 3207 2022/08/26 21:15:37 - mmengine - INFO - Epoch(val) [320][175/500] eta: 0:00:40 time: 0.1110 data_time: 0.0105 memory: 3207 2022/08/26 21:15:37 - mmengine - INFO - Epoch(val) [320][180/500] eta: 0:00:26 time: 0.0828 data_time: 0.0025 memory: 3207 2022/08/26 21:15:37 - mmengine - INFO - Epoch(val) [320][185/500] eta: 0:00:26 time: 0.0887 data_time: 0.0026 memory: 3207 2022/08/26 21:15:38 - mmengine - INFO - Epoch(val) [320][190/500] eta: 0:00:27 time: 0.0891 data_time: 0.0026 memory: 3207 2022/08/26 21:15:38 - mmengine - INFO - Epoch(val) [320][195/500] eta: 0:00:27 time: 0.0860 data_time: 0.0044 memory: 3207 2022/08/26 21:15:39 - mmengine - INFO - Epoch(val) [320][200/500] eta: 0:00:27 time: 0.0908 data_time: 0.0044 memory: 3207 2022/08/26 21:15:39 - mmengine - INFO - Epoch(val) [320][205/500] eta: 0:00:27 time: 0.0884 data_time: 0.0027 memory: 3207 2022/08/26 21:15:40 - mmengine - INFO - Epoch(val) [320][210/500] eta: 0:00:23 time: 0.0808 data_time: 0.0027 memory: 3207 2022/08/26 21:15:46 - mmengine - INFO - Epoch(val) [320][215/500] eta: 0:00:23 time: 0.6598 data_time: 0.0536 memory: 3207 2022/08/26 21:15:47 - mmengine - INFO - Epoch(val) [320][220/500] eta: 0:03:17 time: 0.7046 data_time: 0.0771 memory: 3207 2022/08/26 21:15:47 - mmengine - INFO - Epoch(val) [320][225/500] eta: 0:03:17 time: 0.1691 data_time: 0.0261 memory: 3207 2022/08/26 21:15:48 - mmengine - INFO - Epoch(val) [320][230/500] eta: 0:00:33 time: 0.1228 data_time: 0.0026 memory: 3207 2022/08/26 21:15:48 - mmengine - INFO - Epoch(val) [320][235/500] eta: 0:00:33 time: 0.0825 data_time: 0.0025 memory: 3207 2022/08/26 21:15:49 - mmengine - INFO - Epoch(val) [320][240/500] eta: 0:00:24 time: 0.0954 data_time: 0.0055 memory: 3207 2022/08/26 21:15:49 - mmengine - INFO - Epoch(val) [320][245/500] eta: 0:00:24 time: 0.0924 data_time: 0.0055 memory: 3207 2022/08/26 21:15:50 - mmengine - INFO - Epoch(val) [320][250/500] eta: 0:00:21 time: 0.0841 data_time: 0.0025 memory: 3207 2022/08/26 21:15:50 - mmengine - INFO - Epoch(val) [320][255/500] eta: 0:00:21 time: 0.0852 data_time: 0.0026 memory: 3207 2022/08/26 21:15:50 - mmengine - INFO - Epoch(val) [320][260/500] eta: 0:00:20 time: 0.0850 data_time: 0.0034 memory: 3207 2022/08/26 21:15:51 - mmengine - INFO - Epoch(val) [320][265/500] eta: 0:00:20 time: 0.0856 data_time: 0.0033 memory: 3207 2022/08/26 21:15:51 - mmengine - INFO - Epoch(val) [320][270/500] eta: 0:00:20 time: 0.0886 data_time: 0.0056 memory: 3207 2022/08/26 21:15:52 - mmengine - INFO - Epoch(val) [320][275/500] eta: 0:00:20 time: 0.0947 data_time: 0.0059 memory: 3207 2022/08/26 21:15:52 - mmengine - INFO - Epoch(val) [320][280/500] eta: 0:00:20 time: 0.0950 data_time: 0.0031 memory: 3207 2022/08/26 21:15:53 - mmengine - INFO - Epoch(val) [320][285/500] eta: 0:00:20 time: 0.0892 data_time: 0.0052 memory: 3207 2022/08/26 21:15:53 - mmengine - INFO - Epoch(val) [320][290/500] eta: 0:00:20 time: 0.0963 data_time: 0.0149 memory: 3207 2022/08/26 21:15:54 - mmengine - INFO - Epoch(val) [320][295/500] eta: 0:00:20 time: 0.1084 data_time: 0.0143 memory: 3207 2022/08/26 21:15:54 - mmengine - INFO - Epoch(val) [320][300/500] eta: 0:00:19 time: 0.0980 data_time: 0.0044 memory: 3207 2022/08/26 21:15:55 - mmengine - INFO - Epoch(val) [320][305/500] eta: 0:00:19 time: 0.0859 data_time: 0.0028 memory: 3207 2022/08/26 21:15:55 - mmengine - INFO - Epoch(val) [320][310/500] eta: 0:00:15 time: 0.0841 data_time: 0.0029 memory: 3207 2022/08/26 21:15:56 - mmengine - INFO - Epoch(val) [320][315/500] eta: 0:00:15 time: 0.0868 data_time: 0.0028 memory: 3207 2022/08/26 21:15:57 - mmengine - INFO - Epoch(val) [320][320/500] eta: 0:00:29 time: 0.1615 data_time: 0.0025 memory: 3207 2022/08/26 21:15:58 - mmengine - INFO - Epoch(val) [320][325/500] eta: 0:00:29 time: 0.2174 data_time: 0.0060 memory: 3207 2022/08/26 21:15:58 - mmengine - INFO - Epoch(val) [320][330/500] eta: 0:00:24 time: 0.1415 data_time: 0.0066 memory: 3207 2022/08/26 21:15:59 - mmengine - INFO - Epoch(val) [320][335/500] eta: 0:00:24 time: 0.0841 data_time: 0.0067 memory: 3207 2022/08/26 21:15:59 - mmengine - INFO - Epoch(val) [320][340/500] eta: 0:00:14 time: 0.0921 data_time: 0.0061 memory: 3207 2022/08/26 21:15:59 - mmengine - INFO - Epoch(val) [320][345/500] eta: 0:00:14 time: 0.0895 data_time: 0.0025 memory: 3207 2022/08/26 21:16:01 - mmengine - INFO - Epoch(val) [320][350/500] eta: 0:00:32 time: 0.2154 data_time: 0.0026 memory: 3207 2022/08/26 21:16:03 - mmengine - INFO - Epoch(val) [320][355/500] eta: 0:00:32 time: 0.3165 data_time: 0.0304 memory: 3207 2022/08/26 21:16:05 - mmengine - INFO - Epoch(val) [320][360/500] eta: 0:00:55 time: 0.3994 data_time: 0.0402 memory: 3207 2022/08/26 21:16:06 - mmengine - INFO - Epoch(val) [320][365/500] eta: 0:00:55 time: 0.3048 data_time: 0.0178 memory: 3207 2022/08/26 21:16:06 - mmengine - INFO - Epoch(val) [320][370/500] eta: 0:00:13 time: 0.1070 data_time: 0.0089 memory: 3207 2022/08/26 21:16:07 - mmengine - INFO - Epoch(val) [320][375/500] eta: 0:00:13 time: 0.1014 data_time: 0.0035 memory: 3207 2022/08/26 21:16:08 - mmengine - INFO - Epoch(val) [320][380/500] eta: 0:00:23 time: 0.1941 data_time: 0.0026 memory: 3207 2022/08/26 21:16:09 - mmengine - INFO - Epoch(val) [320][385/500] eta: 0:00:23 time: 0.1967 data_time: 0.0056 memory: 3207 2022/08/26 21:16:09 - mmengine - INFO - Epoch(val) [320][390/500] eta: 0:00:09 time: 0.0867 data_time: 0.0056 memory: 3207 2022/08/26 21:16:10 - mmengine - INFO - Epoch(val) [320][395/500] eta: 0:00:09 time: 0.0844 data_time: 0.0026 memory: 3207 2022/08/26 21:16:10 - mmengine - INFO - Epoch(val) [320][400/500] eta: 0:00:08 time: 0.0834 data_time: 0.0026 memory: 3207 2022/08/26 21:16:10 - mmengine - INFO - Epoch(val) [320][405/500] eta: 0:00:08 time: 0.0824 data_time: 0.0026 memory: 3207 2022/08/26 21:16:11 - mmengine - INFO - Epoch(val) [320][410/500] eta: 0:00:07 time: 0.0844 data_time: 0.0026 memory: 3207 2022/08/26 21:16:11 - mmengine - INFO - Epoch(val) [320][415/500] eta: 0:00:07 time: 0.0846 data_time: 0.0026 memory: 3207 2022/08/26 21:16:12 - mmengine - INFO - Epoch(val) [320][420/500] eta: 0:00:06 time: 0.0833 data_time: 0.0045 memory: 3207 2022/08/26 21:16:12 - mmengine - INFO - Epoch(val) [320][425/500] eta: 0:00:06 time: 0.0850 data_time: 0.0045 memory: 3207 2022/08/26 21:16:14 - mmengine - INFO - Epoch(val) [320][430/500] eta: 0:00:19 time: 0.2754 data_time: 0.0531 memory: 3207 2022/08/26 21:16:15 - mmengine - INFO - Epoch(val) [320][435/500] eta: 0:00:19 time: 0.2736 data_time: 0.0535 memory: 3207 2022/08/26 21:16:15 - mmengine - INFO - Epoch(val) [320][440/500] eta: 0:00:05 time: 0.0979 data_time: 0.0073 memory: 3207 2022/08/26 21:16:16 - mmengine - INFO - Epoch(val) [320][445/500] eta: 0:00:05 time: 0.1011 data_time: 0.0069 memory: 3207 2022/08/26 21:16:16 - mmengine - INFO - Epoch(val) [320][450/500] eta: 0:00:05 time: 0.1071 data_time: 0.0047 memory: 3207 2022/08/26 21:16:17 - mmengine - INFO - Epoch(val) [320][455/500] eta: 0:00:05 time: 0.1071 data_time: 0.0046 memory: 3207 2022/08/26 21:16:17 - mmengine - INFO - Epoch(val) [320][460/500] eta: 0:00:03 time: 0.0835 data_time: 0.0025 memory: 3207 2022/08/26 21:16:18 - mmengine - INFO - Epoch(val) [320][465/500] eta: 0:00:03 time: 0.0940 data_time: 0.0025 memory: 3207 2022/08/26 21:16:20 - mmengine - INFO - Epoch(val) [320][470/500] eta: 0:00:07 time: 0.2417 data_time: 0.0074 memory: 3207 2022/08/26 21:16:20 - mmengine - INFO - Epoch(val) [320][475/500] eta: 0:00:07 time: 0.2531 data_time: 0.0317 memory: 3207 2022/08/26 21:16:21 - mmengine - INFO - Epoch(val) [320][480/500] eta: 0:00:02 time: 0.1087 data_time: 0.0268 memory: 3207 2022/08/26 21:16:21 - mmengine - INFO - Epoch(val) [320][485/500] eta: 0:00:02 time: 0.0824 data_time: 0.0026 memory: 3207 2022/08/26 21:16:22 - mmengine - INFO - Epoch(val) [320][490/500] eta: 0:00:01 time: 0.1089 data_time: 0.0026 memory: 3207 2022/08/26 21:16:22 - mmengine - INFO - Epoch(val) [320][495/500] eta: 0:00:01 time: 0.1135 data_time: 0.0040 memory: 3207 2022/08/26 21:16:23 - mmengine - INFO - Epoch(val) [320][500/500] eta: 0:00:00 time: 0.0845 data_time: 0.0038 memory: 3207 2022/08/26 21:16:23 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 21:16:23 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7819, precision: 0.6376, hmean: 0.7024 2022/08/26 21:16:23 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7819, precision: 0.6376, hmean: 0.7024 2022/08/26 21:16:23 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7819, precision: 0.6376, hmean: 0.7024 2022/08/26 21:16:23 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7819, precision: 0.6736, hmean: 0.7237 2022/08/26 21:16:23 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7814, precision: 0.7275, hmean: 0.7535 2022/08/26 21:16:23 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7766, precision: 0.7868, hmean: 0.7817 2022/08/26 21:16:23 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7583, precision: 0.8445, hmean: 0.7991 2022/08/26 21:16:23 - mmengine - INFO - Epoch(val) [320][500/500] icdar/precision: 0.8445 icdar/recall: 0.7583 icdar/hmean: 0.7991 2022/08/26 21:18:16 - mmengine - INFO - Epoch(train) [321][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 11.8794 data_time: 9.3552 memory: 28971 loss_text: 0.1288 loss_kernel: 0.0593 loss: 0.1881 2022/08/26 21:18:31 - mmengine - INFO - Epoch(train) [321][10/63] lr: 1.0000e-05 eta: 18:52:07 time: 12.7092 data_time: 9.3715 memory: 28971 loss_text: 0.1178 loss_kernel: 0.0554 loss: 0.1731 2022/08/26 21:18:38 - mmengine - INFO - Epoch(train) [321][15/63] lr: 1.0000e-05 eta: 18:52:07 time: 2.2032 data_time: 0.1599 memory: 28971 loss_text: 0.1209 loss_kernel: 0.0573 loss: 0.1782 2022/08/26 21:18:59 - mmengine - INFO - Epoch(train) [321][20/63] lr: 1.0000e-05 eta: 18:51:20 time: 2.8062 data_time: 0.2709 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0633 loss: 0.2006 2022/08/26 21:19:03 - mmengine - INFO - Epoch(train) [321][25/63] lr: 1.0000e-05 eta: 18:51:20 time: 2.5228 data_time: 0.1767 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0677 loss: 0.2162 2022/08/26 21:19:20 - mmengine - INFO - Epoch(train) [321][30/63] lr: 1.0000e-05 eta: 18:50:26 time: 2.1013 data_time: 0.1390 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0644 loss: 0.2026 2022/08/26 21:19:24 - mmengine - INFO - Epoch(train) [321][35/63] lr: 1.0000e-05 eta: 18:50:26 time: 2.0994 data_time: 0.1500 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0646 loss: 0.2016 2022/08/26 21:19:45 - mmengine - INFO - Epoch(train) [321][40/63] lr: 1.0000e-05 eta: 18:49:36 time: 2.5022 data_time: 0.1029 memory: 28971 loss_text: 0.1558 loss_kernel: 0.0723 loss: 0.2282 2022/08/26 21:19:58 - mmengine - INFO - Epoch(train) [321][45/63] lr: 1.0000e-05 eta: 18:49:36 time: 3.1383 data_time: 0.1436 memory: 28971 loss_text: 0.1696 loss_kernel: 0.0776 loss: 0.2472 2022/08/26 21:20:10 - mmengine - INFO - Epoch(train) [321][50/63] lr: 1.0000e-05 eta: 18:48:46 time: 2.5798 data_time: 0.5301 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0751 loss: 0.2419 2022/08/26 21:20:32 - mmengine - INFO - Epoch(train) [321][55/63] lr: 1.0000e-05 eta: 18:48:46 time: 3.5862 data_time: 0.5632 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0633 loss: 0.2003 2022/08/26 21:20:37 - mmengine - INFO - Epoch(train) [321][60/63] lr: 1.0000e-05 eta: 18:47:57 time: 2.6328 data_time: 0.2129 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0632 loss: 0.1991 2022/08/26 21:20:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:22:48 - mmengine - INFO - Epoch(train) [322][5/63] lr: 1.0000e-05 eta: 18:47:57 time: 13.2385 data_time: 10.3003 memory: 28971 loss_text: 0.1103 loss_kernel: 0.0517 loss: 0.1619 2022/08/26 21:22:53 - mmengine - INFO - Epoch(train) [322][10/63] lr: 1.0000e-05 eta: 18:48:07 time: 11.8834 data_time: 10.0809 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0588 loss: 0.1850 2022/08/26 21:23:11 - mmengine - INFO - Epoch(train) [322][15/63] lr: 1.0000e-05 eta: 18:48:07 time: 2.2942 data_time: 0.0712 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0654 loss: 0.2055 2022/08/26 21:23:17 - mmengine - INFO - Epoch(train) [322][20/63] lr: 1.0000e-05 eta: 18:47:15 time: 2.3428 data_time: 0.1015 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0631 loss: 0.1991 2022/08/26 21:23:29 - mmengine - INFO - Epoch(train) [322][25/63] lr: 1.0000e-05 eta: 18:47:15 time: 1.8294 data_time: 0.1685 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0702 loss: 0.2251 2022/08/26 21:23:48 - mmengine - INFO - Epoch(train) [322][30/63] lr: 1.0000e-05 eta: 18:46:30 time: 3.1461 data_time: 0.1543 memory: 28971 loss_text: 0.1654 loss_kernel: 0.0747 loss: 0.2401 2022/08/26 21:23:59 - mmengine - INFO - Epoch(train) [322][35/63] lr: 1.0000e-05 eta: 18:46:30 time: 3.0045 data_time: 0.2099 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0704 loss: 0.2221 2022/08/26 21:24:12 - mmengine - INFO - Epoch(train) [322][40/63] lr: 1.0000e-05 eta: 18:45:39 time: 2.3704 data_time: 0.1667 memory: 28971 loss_text: 0.1591 loss_kernel: 0.0741 loss: 0.2332 2022/08/26 21:24:30 - mmengine - INFO - Epoch(train) [322][45/63] lr: 1.0000e-05 eta: 18:45:39 time: 3.0538 data_time: 0.1591 memory: 28971 loss_text: 0.1425 loss_kernel: 0.0674 loss: 0.2099 2022/08/26 21:24:45 - mmengine - INFO - Epoch(train) [322][50/63] lr: 1.0000e-05 eta: 18:44:56 time: 3.3538 data_time: 0.2846 memory: 28971 loss_text: 0.1303 loss_kernel: 0.0617 loss: 0.1921 2022/08/26 21:24:55 - mmengine - INFO - Epoch(train) [322][55/63] lr: 1.0000e-05 eta: 18:44:56 time: 2.5733 data_time: 0.2134 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0633 loss: 0.2039 2022/08/26 21:25:25 - mmengine - INFO - Epoch(train) [322][60/63] lr: 1.0000e-05 eta: 18:44:18 time: 3.8722 data_time: 0.1358 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0571 loss: 0.1824 2022/08/26 21:25:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:27:24 - mmengine - INFO - Epoch(train) [323][5/63] lr: 1.0000e-05 eta: 18:44:18 time: 13.8945 data_time: 9.6757 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0585 loss: 0.1791 2022/08/26 21:27:45 - mmengine - INFO - Epoch(train) [323][10/63] lr: 1.0000e-05 eta: 18:44:41 time: 13.4392 data_time: 9.5574 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0618 loss: 0.1888 2022/08/26 21:27:50 - mmengine - INFO - Epoch(train) [323][15/63] lr: 1.0000e-05 eta: 18:44:41 time: 2.5541 data_time: 0.1185 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0580 loss: 0.1779 2022/08/26 21:28:09 - mmengine - INFO - Epoch(train) [323][20/63] lr: 1.0000e-05 eta: 18:43:50 time: 2.4188 data_time: 0.1315 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0650 loss: 0.2026 2022/08/26 21:28:14 - mmengine - INFO - Epoch(train) [323][25/63] lr: 1.0000e-05 eta: 18:43:50 time: 2.3749 data_time: 0.1527 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0667 loss: 0.2092 2022/08/26 21:28:30 - mmengine - INFO - Epoch(train) [323][30/63] lr: 1.0000e-05 eta: 18:42:56 time: 2.1329 data_time: 0.1024 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0620 loss: 0.1947 2022/08/26 21:28:35 - mmengine - INFO - Epoch(train) [323][35/63] lr: 1.0000e-05 eta: 18:42:56 time: 2.1355 data_time: 0.0989 memory: 28971 loss_text: 0.1391 loss_kernel: 0.0638 loss: 0.2029 2022/08/26 21:28:52 - mmengine - INFO - Epoch(train) [323][40/63] lr: 1.0000e-05 eta: 18:42:03 time: 2.1528 data_time: 0.0865 memory: 28971 loss_text: 0.1255 loss_kernel: 0.0586 loss: 0.1841 2022/08/26 21:29:12 - mmengine - INFO - Epoch(train) [323][45/63] lr: 1.0000e-05 eta: 18:42:03 time: 3.5877 data_time: 0.1170 memory: 28971 loss_text: 0.1073 loss_kernel: 0.0517 loss: 0.1590 2022/08/26 21:29:18 - mmengine - INFO - Epoch(train) [323][50/63] lr: 1.0000e-05 eta: 18:41:15 time: 2.6858 data_time: 0.3342 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0670 loss: 0.2122 2022/08/26 21:29:37 - mmengine - INFO - Epoch(train) [323][55/63] lr: 1.0000e-05 eta: 18:41:15 time: 2.5637 data_time: 0.3492 memory: 28971 loss_text: 0.1579 loss_kernel: 0.0727 loss: 0.2306 2022/08/26 21:29:57 - mmengine - INFO - Epoch(train) [323][60/63] lr: 1.0000e-05 eta: 18:40:35 time: 3.7847 data_time: 0.1743 memory: 28971 loss_text: 0.1302 loss_kernel: 0.0597 loss: 0.1900 2022/08/26 21:30:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:31:51 - mmengine - INFO - Epoch(train) [324][5/63] lr: 1.0000e-05 eta: 18:40:35 time: 13.0543 data_time: 9.6022 memory: 28971 loss_text: 0.1735 loss_kernel: 0.0794 loss: 0.2529 2022/08/26 21:31:57 - mmengine - INFO - Epoch(train) [324][10/63] lr: 1.0000e-05 eta: 18:40:40 time: 11.4365 data_time: 9.5566 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0671 loss: 0.2140 2022/08/26 21:32:17 - mmengine - INFO - Epoch(train) [324][15/63] lr: 1.0000e-05 eta: 18:40:40 time: 2.6394 data_time: 0.2441 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0573 loss: 0.1800 2022/08/26 21:32:38 - mmengine - INFO - Epoch(train) [324][20/63] lr: 1.0000e-05 eta: 18:40:04 time: 4.0592 data_time: 0.1771 memory: 28971 loss_text: 0.1051 loss_kernel: 0.0511 loss: 0.1562 2022/08/26 21:32:43 - mmengine - INFO - Epoch(train) [324][25/63] lr: 1.0000e-05 eta: 18:40:04 time: 2.5849 data_time: 0.1494 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0585 loss: 0.1807 2022/08/26 21:33:04 - mmengine - INFO - Epoch(train) [324][30/63] lr: 1.0000e-05 eta: 18:39:15 time: 2.6224 data_time: 0.2811 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0644 loss: 0.2013 2022/08/26 21:33:09 - mmengine - INFO - Epoch(train) [324][35/63] lr: 1.0000e-05 eta: 18:39:15 time: 2.5941 data_time: 0.2021 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0599 loss: 0.1851 2022/08/26 21:33:29 - mmengine - INFO - Epoch(train) [324][40/63] lr: 1.0000e-05 eta: 18:38:24 time: 2.5006 data_time: 0.1607 memory: 28971 loss_text: 0.1106 loss_kernel: 0.0527 loss: 0.1633 2022/08/26 21:33:33 - mmengine - INFO - Epoch(train) [324][45/63] lr: 1.0000e-05 eta: 18:38:24 time: 2.4516 data_time: 0.1760 memory: 28971 loss_text: 0.1072 loss_kernel: 0.0513 loss: 0.1585 2022/08/26 21:33:54 - mmengine - INFO - Epoch(train) [324][50/63] lr: 1.0000e-05 eta: 18:37:35 time: 2.5268 data_time: 0.1666 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0553 loss: 0.1688 2022/08/26 21:33:59 - mmengine - INFO - Epoch(train) [324][55/63] lr: 1.0000e-05 eta: 18:37:35 time: 2.6069 data_time: 0.1729 memory: 28971 loss_text: 0.1180 loss_kernel: 0.0572 loss: 0.1752 2022/08/26 21:34:25 - mmengine - INFO - Epoch(train) [324][60/63] lr: 1.0000e-05 eta: 18:36:49 time: 3.0536 data_time: 0.2085 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0552 loss: 0.1710 2022/08/26 21:34:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:36:27 - mmengine - INFO - Epoch(train) [325][5/63] lr: 1.0000e-05 eta: 18:36:49 time: 12.3599 data_time: 9.9401 memory: 28971 loss_text: 0.1460 loss_kernel: 0.0665 loss: 0.2125 2022/08/26 21:36:39 - mmengine - INFO - Epoch(train) [325][10/63] lr: 1.0000e-05 eta: 18:37:07 time: 12.9273 data_time: 9.8989 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0627 loss: 0.1986 2022/08/26 21:36:50 - mmengine - INFO - Epoch(train) [325][15/63] lr: 1.0000e-05 eta: 18:37:07 time: 2.2841 data_time: 0.1306 memory: 28971 loss_text: 0.1204 loss_kernel: 0.0564 loss: 0.1768 2022/08/26 21:37:08 - mmengine - INFO - Epoch(train) [325][20/63] lr: 1.0000e-05 eta: 18:36:20 time: 2.9365 data_time: 0.2156 memory: 28971 loss_text: 0.1628 loss_kernel: 0.0740 loss: 0.2367 2022/08/26 21:37:14 - mmengine - INFO - Epoch(train) [325][25/63] lr: 1.0000e-05 eta: 18:36:20 time: 2.4785 data_time: 0.2419 memory: 28971 loss_text: 0.1858 loss_kernel: 0.0840 loss: 0.2699 2022/08/26 21:37:32 - mmengine - INFO - Epoch(train) [325][30/63] lr: 1.0000e-05 eta: 18:35:29 time: 2.3431 data_time: 0.3169 memory: 28971 loss_text: 0.1752 loss_kernel: 0.0801 loss: 0.2553 2022/08/26 21:37:54 - mmengine - INFO - Epoch(train) [325][35/63] lr: 1.0000e-05 eta: 18:35:29 time: 3.8908 data_time: 0.3696 memory: 28971 loss_text: 0.1540 loss_kernel: 0.0712 loss: 0.2252 2022/08/26 21:38:12 - mmengine - INFO - Epoch(train) [325][40/63] lr: 1.0000e-05 eta: 18:34:52 time: 4.0590 data_time: 0.3175 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0560 loss: 0.1734 2022/08/26 21:38:37 - mmengine - INFO - Epoch(train) [325][45/63] lr: 1.0000e-05 eta: 18:34:52 time: 4.3834 data_time: 0.2030 memory: 28971 loss_text: 0.1113 loss_kernel: 0.0535 loss: 0.1648 2022/08/26 21:38:45 - mmengine - INFO - Epoch(train) [325][50/63] lr: 1.0000e-05 eta: 18:34:08 time: 3.2363 data_time: 0.1792 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0656 loss: 0.2046 2022/08/26 21:39:07 - mmengine - INFO - Epoch(train) [325][55/63] lr: 1.0000e-05 eta: 18:34:08 time: 2.9652 data_time: 0.2504 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0661 loss: 0.2059 2022/08/26 21:39:12 - mmengine - INFO - Epoch(train) [325][60/63] lr: 1.0000e-05 eta: 18:33:20 time: 2.7187 data_time: 0.1950 memory: 28971 loss_text: 0.0944 loss_kernel: 0.0472 loss: 0.1415 2022/08/26 21:39:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:41:22 - mmengine - INFO - Epoch(train) [326][5/63] lr: 1.0000e-05 eta: 18:33:20 time: 13.1397 data_time: 9.6358 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0543 loss: 0.1694 2022/08/26 21:41:27 - mmengine - INFO - Epoch(train) [326][10/63] lr: 1.0000e-05 eta: 18:33:26 time: 11.6463 data_time: 9.6531 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0641 loss: 0.2013 2022/08/26 21:41:47 - mmengine - INFO - Epoch(train) [326][15/63] lr: 1.0000e-05 eta: 18:33:26 time: 2.5099 data_time: 0.1180 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0675 loss: 0.2140 2022/08/26 21:41:52 - mmengine - INFO - Epoch(train) [326][20/63] lr: 1.0000e-05 eta: 18:32:36 time: 2.4753 data_time: 0.1169 memory: 28971 loss_text: 0.1478 loss_kernel: 0.0678 loss: 0.2156 2022/08/26 21:42:08 - mmengine - INFO - Epoch(train) [326][25/63] lr: 1.0000e-05 eta: 18:32:36 time: 2.1105 data_time: 0.1369 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0674 loss: 0.2126 2022/08/26 21:42:21 - mmengine - INFO - Epoch(train) [326][30/63] lr: 1.0000e-05 eta: 18:31:49 time: 2.8569 data_time: 0.1232 memory: 28971 loss_text: 0.1474 loss_kernel: 0.0677 loss: 0.2151 2022/08/26 21:42:32 - mmengine - INFO - Epoch(train) [326][35/63] lr: 1.0000e-05 eta: 18:31:49 time: 2.3828 data_time: 0.1255 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0546 loss: 0.1714 2022/08/26 21:42:45 - mmengine - INFO - Epoch(train) [326][40/63] lr: 1.0000e-05 eta: 18:30:57 time: 2.3691 data_time: 0.1183 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0582 loss: 0.1803 2022/08/26 21:42:55 - mmengine - INFO - Epoch(train) [326][45/63] lr: 1.0000e-05 eta: 18:30:57 time: 2.3338 data_time: 0.1681 memory: 28971 loss_text: 0.1556 loss_kernel: 0.0725 loss: 0.2281 2022/08/26 21:43:18 - mmengine - INFO - Epoch(train) [326][50/63] lr: 1.0000e-05 eta: 18:30:15 time: 3.3394 data_time: 0.2228 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0696 loss: 0.2189 2022/08/26 21:43:40 - mmengine - INFO - Epoch(train) [326][55/63] lr: 1.0000e-05 eta: 18:30:15 time: 4.3624 data_time: 0.3087 memory: 28971 loss_text: 0.1145 loss_kernel: 0.0551 loss: 0.1696 2022/08/26 21:44:14 - mmengine - INFO - Epoch(train) [326][60/63] lr: 1.0000e-05 eta: 18:29:50 time: 5.5512 data_time: 0.5724 memory: 28971 loss_text: 0.1049 loss_kernel: 0.0513 loss: 0.1562 2022/08/26 21:44:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:46:11 - mmengine - INFO - Epoch(train) [327][5/63] lr: 1.0000e-05 eta: 18:29:50 time: 11.9035 data_time: 9.7333 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0597 loss: 0.1870 2022/08/26 21:46:16 - mmengine - INFO - Epoch(train) [327][10/63] lr: 1.0000e-05 eta: 18:29:57 time: 11.7968 data_time: 9.7005 memory: 28971 loss_text: 0.1105 loss_kernel: 0.0529 loss: 0.1634 2022/08/26 21:46:40 - mmengine - INFO - Epoch(train) [327][15/63] lr: 1.0000e-05 eta: 18:29:57 time: 2.8413 data_time: 0.0832 memory: 28971 loss_text: 0.0796 loss_kernel: 0.0401 loss: 0.1197 2022/08/26 21:47:00 - mmengine - INFO - Epoch(train) [327][20/63] lr: 1.0000e-05 eta: 18:29:23 time: 4.4316 data_time: 0.1173 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0546 loss: 0.1696 2022/08/26 21:47:23 - mmengine - INFO - Epoch(train) [327][25/63] lr: 1.0000e-05 eta: 18:29:23 time: 4.3073 data_time: 0.4237 memory: 28971 loss_text: 0.1533 loss_kernel: 0.0715 loss: 0.2248 2022/08/26 21:47:41 - mmengine - INFO - Epoch(train) [327][30/63] lr: 1.0000e-05 eta: 18:28:47 time: 4.1104 data_time: 0.4473 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0589 loss: 0.1821 2022/08/26 21:47:55 - mmengine - INFO - Epoch(train) [327][35/63] lr: 1.0000e-05 eta: 18:28:47 time: 3.2974 data_time: 0.1758 memory: 28971 loss_text: 0.1182 loss_kernel: 0.0564 loss: 0.1746 2022/08/26 21:48:00 - mmengine - INFO - Epoch(train) [327][40/63] lr: 1.0000e-05 eta: 18:27:52 time: 1.8813 data_time: 0.0836 memory: 28971 loss_text: 0.1356 loss_kernel: 0.0638 loss: 0.1994 2022/08/26 21:48:21 - mmengine - INFO - Epoch(train) [327][45/63] lr: 1.0000e-05 eta: 18:27:52 time: 2.5811 data_time: 0.1449 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0617 loss: 0.1955 2022/08/26 21:48:26 - mmengine - INFO - Epoch(train) [327][50/63] lr: 1.0000e-05 eta: 18:27:02 time: 2.5650 data_time: 0.1606 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0637 loss: 0.2001 2022/08/26 21:48:46 - mmengine - INFO - Epoch(train) [327][55/63] lr: 1.0000e-05 eta: 18:27:02 time: 2.3769 data_time: 0.0649 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0681 loss: 0.2118 2022/08/26 21:48:51 - mmengine - INFO - Epoch(train) [327][60/63] lr: 1.0000e-05 eta: 18:26:13 time: 2.5776 data_time: 0.1462 memory: 28971 loss_text: 0.1625 loss_kernel: 0.0753 loss: 0.2378 2022/08/26 21:49:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:51:08 - mmengine - INFO - Epoch(train) [328][5/63] lr: 1.0000e-05 eta: 18:26:13 time: 13.7794 data_time: 10.0110 memory: 28971 loss_text: 0.1138 loss_kernel: 0.0530 loss: 0.1669 2022/08/26 21:51:24 - mmengine - INFO - Epoch(train) [328][10/63] lr: 1.0000e-05 eta: 18:26:33 time: 13.4099 data_time: 10.0163 memory: 28971 loss_text: 0.1063 loss_kernel: 0.0493 loss: 0.1556 2022/08/26 21:51:29 - mmengine - INFO - Epoch(train) [328][15/63] lr: 1.0000e-05 eta: 18:26:33 time: 2.1019 data_time: 0.1411 memory: 28971 loss_text: 0.1251 loss_kernel: 0.0576 loss: 0.1827 2022/08/26 21:51:43 - mmengine - INFO - Epoch(train) [328][20/63] lr: 1.0000e-05 eta: 18:25:38 time: 1.9653 data_time: 0.1291 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0621 loss: 0.1930 2022/08/26 21:51:48 - mmengine - INFO - Epoch(train) [328][25/63] lr: 1.0000e-05 eta: 18:25:38 time: 1.9515 data_time: 0.1064 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0570 loss: 0.1745 2022/08/26 21:52:08 - mmengine - INFO - Epoch(train) [328][30/63] lr: 1.0000e-05 eta: 18:24:48 time: 2.4977 data_time: 0.0949 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0584 loss: 0.1815 2022/08/26 21:52:13 - mmengine - INFO - Epoch(train) [328][35/63] lr: 1.0000e-05 eta: 18:24:48 time: 2.4925 data_time: 0.1259 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0673 loss: 0.2124 2022/08/26 21:52:28 - mmengine - INFO - Epoch(train) [328][40/63] lr: 1.0000e-05 eta: 18:23:54 time: 1.9594 data_time: 0.1109 memory: 28971 loss_text: 0.1385 loss_kernel: 0.0635 loss: 0.2020 2022/08/26 21:52:38 - mmengine - INFO - Epoch(train) [328][45/63] lr: 1.0000e-05 eta: 18:23:54 time: 2.4690 data_time: 0.1532 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0595 loss: 0.1879 2022/08/26 21:52:42 - mmengine - INFO - Epoch(train) [328][50/63] lr: 1.0000e-05 eta: 18:22:55 time: 1.4785 data_time: 0.1763 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0636 loss: 0.1976 2022/08/26 21:53:02 - mmengine - INFO - Epoch(train) [328][55/63] lr: 1.0000e-05 eta: 18:22:55 time: 2.3383 data_time: 0.0423 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0598 loss: 0.1830 2022/08/26 21:53:07 - mmengine - INFO - Epoch(train) [328][60/63] lr: 1.0000e-05 eta: 18:22:05 time: 2.4299 data_time: 0.1307 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0612 loss: 0.1893 2022/08/26 21:53:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:55:14 - mmengine - INFO - Epoch(train) [329][5/63] lr: 1.0000e-05 eta: 18:22:05 time: 12.7844 data_time: 9.5369 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0614 loss: 0.1926 2022/08/26 21:55:20 - mmengine - INFO - Epoch(train) [329][10/63] lr: 1.0000e-05 eta: 18:22:08 time: 11.4575 data_time: 9.6011 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0687 loss: 0.2177 2022/08/26 21:55:34 - mmengine - INFO - Epoch(train) [329][15/63] lr: 1.0000e-05 eta: 18:22:08 time: 2.0338 data_time: 0.1269 memory: 28971 loss_text: 0.1354 loss_kernel: 0.0631 loss: 0.1985 2022/08/26 21:55:40 - mmengine - INFO - Epoch(train) [329][20/63] lr: 1.0000e-05 eta: 18:21:14 time: 2.0146 data_time: 0.1390 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0547 loss: 0.1681 2022/08/26 21:55:55 - mmengine - INFO - Epoch(train) [329][25/63] lr: 1.0000e-05 eta: 18:21:14 time: 2.0269 data_time: 0.1447 memory: 28971 loss_text: 0.1136 loss_kernel: 0.0537 loss: 0.1673 2022/08/26 21:56:00 - mmengine - INFO - Epoch(train) [329][30/63] lr: 1.0000e-05 eta: 18:20:20 time: 1.9532 data_time: 0.1295 memory: 28971 loss_text: 0.1154 loss_kernel: 0.0532 loss: 0.1687 2022/08/26 21:56:20 - mmengine - INFO - Epoch(train) [329][35/63] lr: 1.0000e-05 eta: 18:20:20 time: 2.5033 data_time: 0.1724 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0544 loss: 0.1704 2022/08/26 21:56:24 - mmengine - INFO - Epoch(train) [329][40/63] lr: 1.0000e-05 eta: 18:19:30 time: 2.4711 data_time: 0.1494 memory: 28971 loss_text: 0.1507 loss_kernel: 0.0697 loss: 0.2204 2022/08/26 21:56:42 - mmengine - INFO - Epoch(train) [329][45/63] lr: 1.0000e-05 eta: 18:19:30 time: 2.2564 data_time: 0.0998 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0751 loss: 0.2369 2022/08/26 21:56:47 - mmengine - INFO - Epoch(train) [329][50/63] lr: 1.0000e-05 eta: 18:18:38 time: 2.2684 data_time: 0.1055 memory: 28971 loss_text: 0.1610 loss_kernel: 0.0747 loss: 0.2358 2022/08/26 21:57:04 - mmengine - INFO - Epoch(train) [329][55/63] lr: 1.0000e-05 eta: 18:18:38 time: 2.1089 data_time: 0.0720 memory: 28971 loss_text: 0.1773 loss_kernel: 0.0810 loss: 0.2583 2022/08/26 21:57:11 - mmengine - INFO - Epoch(train) [329][60/63] lr: 1.0000e-05 eta: 18:17:48 time: 2.3836 data_time: 0.2256 memory: 28971 loss_text: 0.1916 loss_kernel: 0.0857 loss: 0.2772 2022/08/26 21:57:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 21:59:21 - mmengine - INFO - Epoch(train) [330][5/63] lr: 1.0000e-05 eta: 18:17:48 time: 13.1587 data_time: 9.6165 memory: 28971 loss_text: 0.1704 loss_kernel: 0.0772 loss: 0.2477 2022/08/26 21:59:35 - mmengine - INFO - Epoch(train) [330][10/63] lr: 1.0000e-05 eta: 18:17:56 time: 12.1920 data_time: 9.6553 memory: 28971 loss_text: 0.1417 loss_kernel: 0.0668 loss: 0.2085 2022/08/26 21:59:45 - mmengine - INFO - Epoch(train) [330][15/63] lr: 1.0000e-05 eta: 18:17:56 time: 2.4351 data_time: 0.1882 memory: 28971 loss_text: 0.1251 loss_kernel: 0.0601 loss: 0.1852 2022/08/26 21:59:55 - mmengine - INFO - Epoch(train) [330][20/63] lr: 1.0000e-05 eta: 18:17:03 time: 2.0065 data_time: 0.1552 memory: 28971 loss_text: 0.1197 loss_kernel: 0.0575 loss: 0.1772 2022/08/26 22:00:08 - mmengine - INFO - Epoch(train) [330][25/63] lr: 1.0000e-05 eta: 18:17:03 time: 2.2432 data_time: 0.1592 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0559 loss: 0.1733 2022/08/26 22:00:26 - mmengine - INFO - Epoch(train) [330][30/63] lr: 1.0000e-05 eta: 18:16:18 time: 3.1260 data_time: 0.1570 memory: 28971 loss_text: 0.1271 loss_kernel: 0.0598 loss: 0.1870 2022/08/26 22:00:31 - mmengine - INFO - Epoch(train) [330][35/63] lr: 1.0000e-05 eta: 18:16:18 time: 2.3991 data_time: 0.1340 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0683 loss: 0.2164 2022/08/26 22:00:52 - mmengine - INFO - Epoch(train) [330][40/63] lr: 1.0000e-05 eta: 18:15:29 time: 2.5682 data_time: 0.1375 memory: 28971 loss_text: 0.1427 loss_kernel: 0.0650 loss: 0.2077 2022/08/26 22:00:57 - mmengine - INFO - Epoch(train) [330][45/63] lr: 1.0000e-05 eta: 18:15:29 time: 2.5146 data_time: 0.0814 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0567 loss: 0.1807 2022/08/26 22:01:17 - mmengine - INFO - Epoch(train) [330][50/63] lr: 1.0000e-05 eta: 18:14:39 time: 2.4674 data_time: 0.1715 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0686 loss: 0.2192 2022/08/26 22:01:22 - mmengine - INFO - Epoch(train) [330][55/63] lr: 1.0000e-05 eta: 18:14:39 time: 2.5134 data_time: 0.1887 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0758 loss: 0.2384 2022/08/26 22:01:41 - mmengine - INFO - Epoch(train) [330][60/63] lr: 1.0000e-05 eta: 18:13:49 time: 2.4532 data_time: 0.1319 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0634 loss: 0.1985 2022/08/26 22:01:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:03:37 - mmengine - INFO - Epoch(train) [331][5/63] lr: 1.0000e-05 eta: 18:13:49 time: 12.1168 data_time: 9.8104 memory: 28971 loss_text: 0.1223 loss_kernel: 0.0579 loss: 0.1802 2022/08/26 22:03:51 - mmengine - INFO - Epoch(train) [331][10/63] lr: 1.0000e-05 eta: 18:14:00 time: 12.4802 data_time: 9.7454 memory: 28971 loss_text: 0.1077 loss_kernel: 0.0524 loss: 0.1602 2022/08/26 22:04:04 - mmengine - INFO - Epoch(train) [331][15/63] lr: 1.0000e-05 eta: 18:14:00 time: 2.7157 data_time: 0.1867 memory: 28971 loss_text: 0.0983 loss_kernel: 0.0481 loss: 0.1464 2022/08/26 22:04:20 - mmengine - INFO - Epoch(train) [331][20/63] lr: 1.0000e-05 eta: 18:13:13 time: 2.8779 data_time: 0.1703 memory: 28971 loss_text: 0.1346 loss_kernel: 0.0626 loss: 0.1972 2022/08/26 22:04:25 - mmengine - INFO - Epoch(train) [331][25/63] lr: 1.0000e-05 eta: 18:13:13 time: 2.1319 data_time: 0.0997 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0694 loss: 0.2189 2022/08/26 22:04:40 - mmengine - INFO - Epoch(train) [331][30/63] lr: 1.0000e-05 eta: 18:12:19 time: 2.0415 data_time: 0.0752 memory: 28971 loss_text: 0.1664 loss_kernel: 0.0768 loss: 0.2432 2022/08/26 22:04:45 - mmengine - INFO - Epoch(train) [331][35/63] lr: 1.0000e-05 eta: 18:12:19 time: 2.0157 data_time: 0.0915 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0687 loss: 0.2155 2022/08/26 22:05:01 - mmengine - INFO - Epoch(train) [331][40/63] lr: 1.0000e-05 eta: 18:11:27 time: 2.1038 data_time: 0.1134 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0656 loss: 0.2028 2022/08/26 22:05:06 - mmengine - INFO - Epoch(train) [331][45/63] lr: 1.0000e-05 eta: 18:11:27 time: 2.1074 data_time: 0.1276 memory: 28971 loss_text: 0.1559 loss_kernel: 0.0727 loss: 0.2286 2022/08/26 22:05:22 - mmengine - INFO - Epoch(train) [331][50/63] lr: 1.0000e-05 eta: 18:10:33 time: 2.0254 data_time: 0.1293 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0630 loss: 0.1969 2022/08/26 22:05:29 - mmengine - INFO - Epoch(train) [331][55/63] lr: 1.0000e-05 eta: 18:10:33 time: 2.3208 data_time: 0.2376 memory: 28971 loss_text: 0.1074 loss_kernel: 0.0529 loss: 0.1604 2022/08/26 22:05:49 - mmengine - INFO - Epoch(train) [331][60/63] lr: 1.0000e-05 eta: 18:09:45 time: 2.7144 data_time: 0.3385 memory: 28971 loss_text: 0.0962 loss_kernel: 0.0477 loss: 0.1438 2022/08/26 22:05:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:07:44 - mmengine - INFO - Epoch(train) [332][5/63] lr: 1.0000e-05 eta: 18:09:45 time: 11.6694 data_time: 9.7836 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0568 loss: 0.1757 2022/08/26 22:07:53 - mmengine - INFO - Epoch(train) [332][10/63] lr: 1.0000e-05 eta: 18:09:51 time: 11.9011 data_time: 9.7602 memory: 28971 loss_text: 0.1447 loss_kernel: 0.0673 loss: 0.2120 2022/08/26 22:08:10 - mmengine - INFO - Epoch(train) [332][15/63] lr: 1.0000e-05 eta: 18:09:51 time: 2.6048 data_time: 0.2379 memory: 28971 loss_text: 0.1634 loss_kernel: 0.0746 loss: 0.2379 2022/08/26 22:08:15 - mmengine - INFO - Epoch(train) [332][20/63] lr: 1.0000e-05 eta: 18:08:59 time: 2.2521 data_time: 0.1999 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0640 loss: 0.2022 2022/08/26 22:08:35 - mmengine - INFO - Epoch(train) [332][25/63] lr: 1.0000e-05 eta: 18:08:59 time: 2.4389 data_time: 0.1374 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0663 loss: 0.2108 2022/08/26 22:08:39 - mmengine - INFO - Epoch(train) [332][30/63] lr: 1.0000e-05 eta: 18:08:09 time: 2.4532 data_time: 0.1554 memory: 28971 loss_text: 0.1559 loss_kernel: 0.0717 loss: 0.2277 2022/08/26 22:08:56 - mmengine - INFO - Epoch(train) [332][35/63] lr: 1.0000e-05 eta: 18:08:09 time: 2.1516 data_time: 0.1009 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0689 loss: 0.2183 2022/08/26 22:09:03 - mmengine - INFO - Epoch(train) [332][40/63] lr: 1.0000e-05 eta: 18:07:19 time: 2.3564 data_time: 0.0729 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0672 loss: 0.2136 2022/08/26 22:09:23 - mmengine - INFO - Epoch(train) [332][45/63] lr: 1.0000e-05 eta: 18:07:19 time: 2.7204 data_time: 0.0975 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0649 loss: 0.2080 2022/08/26 22:09:52 - mmengine - INFO - Epoch(train) [332][50/63] lr: 1.0000e-05 eta: 18:06:48 time: 4.8351 data_time: 0.2191 memory: 28971 loss_text: 0.1543 loss_kernel: 0.0699 loss: 0.2241 2022/08/26 22:10:19 - mmengine - INFO - Epoch(train) [332][55/63] lr: 1.0000e-05 eta: 18:06:48 time: 5.6052 data_time: 0.4023 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0636 loss: 0.1995 2022/08/26 22:10:35 - mmengine - INFO - Epoch(train) [332][60/63] lr: 1.0000e-05 eta: 18:06:13 time: 4.3354 data_time: 0.3635 memory: 28971 loss_text: 0.1044 loss_kernel: 0.0499 loss: 0.1543 2022/08/26 22:10:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:12:49 - mmengine - INFO - Epoch(train) [333][5/63] lr: 1.0000e-05 eta: 18:06:13 time: 13.6182 data_time: 9.9130 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0648 loss: 0.2050 2022/08/26 22:12:55 - mmengine - INFO - Epoch(train) [333][10/63] lr: 1.0000e-05 eta: 18:06:18 time: 11.8534 data_time: 9.8621 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0611 loss: 0.1918 2022/08/26 22:13:13 - mmengine - INFO - Epoch(train) [333][15/63] lr: 1.0000e-05 eta: 18:06:18 time: 2.4005 data_time: 0.1685 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0540 loss: 0.1674 2022/08/26 22:13:19 - mmengine - INFO - Epoch(train) [333][20/63] lr: 1.0000e-05 eta: 18:05:27 time: 2.3714 data_time: 0.2144 memory: 28971 loss_text: 0.1059 loss_kernel: 0.0509 loss: 0.1568 2022/08/26 22:13:43 - mmengine - INFO - Epoch(train) [333][25/63] lr: 1.0000e-05 eta: 18:05:27 time: 2.9243 data_time: 0.2452 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0574 loss: 0.1793 2022/08/26 22:14:01 - mmengine - INFO - Epoch(train) [333][30/63] lr: 1.0000e-05 eta: 18:04:51 time: 4.1947 data_time: 0.2568 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0588 loss: 0.1849 2022/08/26 22:14:06 - mmengine - INFO - Epoch(train) [333][35/63] lr: 1.0000e-05 eta: 18:04:51 time: 2.3732 data_time: 0.1982 memory: 28971 loss_text: 0.1049 loss_kernel: 0.0495 loss: 0.1544 2022/08/26 22:14:13 - mmengine - INFO - Epoch(train) [333][40/63] lr: 1.0000e-05 eta: 18:03:52 time: 1.2330 data_time: 0.0902 memory: 28971 loss_text: 0.0997 loss_kernel: 0.0485 loss: 0.1482 2022/08/26 22:14:20 - mmengine - INFO - Epoch(train) [333][45/63] lr: 1.0000e-05 eta: 18:03:52 time: 1.3752 data_time: 0.0360 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0640 loss: 0.1997 2022/08/26 22:14:29 - mmengine - INFO - Epoch(train) [333][50/63] lr: 1.0000e-05 eta: 18:02:55 time: 1.5735 data_time: 0.0799 memory: 28971 loss_text: 0.1588 loss_kernel: 0.0733 loss: 0.2321 2022/08/26 22:14:33 - mmengine - INFO - Epoch(train) [333][55/63] lr: 1.0000e-05 eta: 18:02:55 time: 1.3717 data_time: 0.0641 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0640 loss: 0.2016 2022/08/26 22:14:45 - mmengine - INFO - Epoch(train) [333][60/63] lr: 1.0000e-05 eta: 18:01:58 time: 1.6485 data_time: 0.0418 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0627 loss: 0.1976 2022/08/26 22:14:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:16:28 - mmengine - INFO - Epoch(train) [334][5/63] lr: 1.0000e-05 eta: 18:01:58 time: 11.1345 data_time: 9.0671 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0616 loss: 0.1924 2022/08/26 22:16:33 - mmengine - INFO - Epoch(train) [334][10/63] lr: 1.0000e-05 eta: 18:01:52 time: 10.4594 data_time: 9.0620 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0687 loss: 0.2172 2022/08/26 22:16:44 - mmengine - INFO - Epoch(train) [334][15/63] lr: 1.0000e-05 eta: 18:01:52 time: 1.5572 data_time: 0.0862 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0628 loss: 0.1963 2022/08/26 22:16:49 - mmengine - INFO - Epoch(train) [334][20/63] lr: 1.0000e-05 eta: 18:00:55 time: 1.5882 data_time: 0.0854 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0625 loss: 0.1970 2022/08/26 22:16:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:16:54 - mmengine - INFO - Epoch(train) [334][25/63] lr: 1.0000e-05 eta: 18:00:55 time: 0.9654 data_time: 0.0414 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0691 loss: 0.2196 2022/08/26 22:16:58 - mmengine - INFO - Epoch(train) [334][30/63] lr: 1.0000e-05 eta: 17:59:53 time: 0.9232 data_time: 0.0319 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0684 loss: 0.2159 2022/08/26 22:17:04 - mmengine - INFO - Epoch(train) [334][35/63] lr: 1.0000e-05 eta: 17:59:53 time: 1.0802 data_time: 0.0436 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0686 loss: 0.2190 2022/08/26 22:17:11 - mmengine - INFO - Epoch(train) [334][40/63] lr: 1.0000e-05 eta: 17:58:54 time: 1.2705 data_time: 0.0608 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0630 loss: 0.1975 2022/08/26 22:17:17 - mmengine - INFO - Epoch(train) [334][45/63] lr: 1.0000e-05 eta: 17:58:54 time: 1.2830 data_time: 0.0750 memory: 28971 loss_text: 0.1111 loss_kernel: 0.0552 loss: 0.1663 2022/08/26 22:17:23 - mmengine - INFO - Epoch(train) [334][50/63] lr: 1.0000e-05 eta: 17:57:54 time: 1.1737 data_time: 0.0529 memory: 28971 loss_text: 0.1140 loss_kernel: 0.0553 loss: 0.1693 2022/08/26 22:17:31 - mmengine - INFO - Epoch(train) [334][55/63] lr: 1.0000e-05 eta: 17:57:54 time: 1.3974 data_time: 0.0898 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0599 loss: 0.1867 2022/08/26 22:17:38 - mmengine - INFO - Epoch(train) [334][60/63] lr: 1.0000e-05 eta: 17:56:56 time: 1.5040 data_time: 0.0966 memory: 28971 loss_text: 0.1241 loss_kernel: 0.0586 loss: 0.1827 2022/08/26 22:17:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:19:21 - mmengine - INFO - Epoch(train) [335][5/63] lr: 1.0000e-05 eta: 17:56:56 time: 10.6232 data_time: 8.8246 memory: 28971 loss_text: 0.1180 loss_kernel: 0.0557 loss: 0.1738 2022/08/26 22:19:26 - mmengine - INFO - Epoch(train) [335][10/63] lr: 1.0000e-05 eta: 17:56:49 time: 10.3684 data_time: 8.8035 memory: 28971 loss_text: 0.1049 loss_kernel: 0.0506 loss: 0.1555 2022/08/26 22:19:34 - mmengine - INFO - Epoch(train) [335][15/63] lr: 1.0000e-05 eta: 17:56:49 time: 1.2264 data_time: 0.0573 memory: 28971 loss_text: 0.1015 loss_kernel: 0.0497 loss: 0.1512 2022/08/26 22:19:39 - mmengine - INFO - Epoch(train) [335][20/63] lr: 1.0000e-05 eta: 17:55:50 time: 1.3540 data_time: 0.0807 memory: 28971 loss_text: 0.1391 loss_kernel: 0.0652 loss: 0.2042 2022/08/26 22:20:01 - mmengine - INFO - Epoch(train) [335][25/63] lr: 1.0000e-05 eta: 17:55:50 time: 2.6925 data_time: 0.1964 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0605 loss: 0.1915 2022/08/26 22:20:29 - mmengine - INFO - Epoch(train) [335][30/63] lr: 1.0000e-05 eta: 17:55:20 time: 4.9104 data_time: 0.3532 memory: 28971 loss_text: 0.1184 loss_kernel: 0.0556 loss: 0.1740 2022/08/26 22:20:52 - mmengine - INFO - Epoch(train) [335][35/63] lr: 1.0000e-05 eta: 17:55:20 time: 5.1811 data_time: 0.3675 memory: 28971 loss_text: 0.1213 loss_kernel: 0.0574 loss: 0.1787 2022/08/26 22:21:14 - mmengine - INFO - Epoch(train) [335][40/63] lr: 1.0000e-05 eta: 17:54:47 time: 4.5572 data_time: 0.3524 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0569 loss: 0.1787 2022/08/26 22:21:36 - mmengine - INFO - Epoch(train) [335][45/63] lr: 1.0000e-05 eta: 17:54:47 time: 4.3450 data_time: 0.2888 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0633 loss: 0.2003 2022/08/26 22:21:54 - mmengine - INFO - Epoch(train) [335][50/63] lr: 1.0000e-05 eta: 17:54:10 time: 3.9857 data_time: 0.2347 memory: 28971 loss_text: 0.1448 loss_kernel: 0.0676 loss: 0.2124 2022/08/26 22:22:13 - mmengine - INFO - Epoch(train) [335][55/63] lr: 1.0000e-05 eta: 17:54:10 time: 3.6793 data_time: 0.3048 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0715 loss: 0.2265 2022/08/26 22:22:50 - mmengine - INFO - Epoch(train) [335][60/63] lr: 1.0000e-05 eta: 17:53:44 time: 5.5265 data_time: 0.2754 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0651 loss: 0.2081 2022/08/26 22:22:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:24:51 - mmengine - INFO - Epoch(train) [336][5/63] lr: 1.0000e-05 eta: 17:53:44 time: 13.7765 data_time: 10.1475 memory: 28971 loss_text: 0.1161 loss_kernel: 0.0549 loss: 0.1711 2022/08/26 22:24:56 - mmengine - INFO - Epoch(train) [336][10/63] lr: 1.0000e-05 eta: 17:53:51 time: 12.1746 data_time: 10.0873 memory: 28971 loss_text: 0.1096 loss_kernel: 0.0525 loss: 0.1621 2022/08/26 22:25:17 - mmengine - INFO - Epoch(train) [336][15/63] lr: 1.0000e-05 eta: 17:53:51 time: 2.5437 data_time: 0.1373 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0589 loss: 0.1835 2022/08/26 22:25:23 - mmengine - INFO - Epoch(train) [336][20/63] lr: 1.0000e-05 eta: 17:53:02 time: 2.6445 data_time: 0.1758 memory: 28971 loss_text: 0.1115 loss_kernel: 0.0536 loss: 0.1650 2022/08/26 22:25:48 - mmengine - INFO - Epoch(train) [336][25/63] lr: 1.0000e-05 eta: 17:53:02 time: 3.1127 data_time: 0.1810 memory: 28971 loss_text: 0.0957 loss_kernel: 0.0459 loss: 0.1416 2022/08/26 22:26:12 - mmengine - INFO - Epoch(train) [336][30/63] lr: 1.0000e-05 eta: 17:52:32 time: 4.8530 data_time: 0.1942 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0551 loss: 0.1746 2022/08/26 22:26:16 - mmengine - INFO - Epoch(train) [336][35/63] lr: 1.0000e-05 eta: 17:52:32 time: 2.8944 data_time: 0.1852 memory: 28971 loss_text: 0.1204 loss_kernel: 0.0568 loss: 0.1772 2022/08/26 22:26:36 - mmengine - INFO - Epoch(train) [336][40/63] lr: 1.0000e-05 eta: 17:51:42 time: 2.4065 data_time: 0.1663 memory: 28971 loss_text: 0.1286 loss_kernel: 0.0615 loss: 0.1900 2022/08/26 22:26:40 - mmengine - INFO - Epoch(train) [336][45/63] lr: 1.0000e-05 eta: 17:51:42 time: 2.4247 data_time: 0.1565 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0600 loss: 0.1862 2022/08/26 22:27:01 - mmengine - INFO - Epoch(train) [336][50/63] lr: 1.0000e-05 eta: 17:50:52 time: 2.5017 data_time: 0.0742 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0666 loss: 0.2083 2022/08/26 22:27:28 - mmengine - INFO - Epoch(train) [336][55/63] lr: 1.0000e-05 eta: 17:50:52 time: 4.6672 data_time: 0.2191 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0666 loss: 0.2085 2022/08/26 22:27:34 - mmengine - INFO - Epoch(train) [336][60/63] lr: 1.0000e-05 eta: 17:50:09 time: 3.3240 data_time: 0.4137 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0655 loss: 0.2073 2022/08/26 22:27:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:30:09 - mmengine - INFO - Epoch(train) [337][5/63] lr: 1.0000e-05 eta: 17:50:09 time: 15.6568 data_time: 10.6309 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0670 loss: 0.2127 2022/08/26 22:30:34 - mmengine - INFO - Epoch(train) [337][10/63] lr: 1.0000e-05 eta: 17:50:44 time: 15.7953 data_time: 10.5392 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0531 loss: 0.1648 2022/08/26 22:30:39 - mmengine - INFO - Epoch(train) [337][15/63] lr: 1.0000e-05 eta: 17:50:44 time: 2.9825 data_time: 0.1717 memory: 28971 loss_text: 0.1094 loss_kernel: 0.0529 loss: 0.1623 2022/08/26 22:31:09 - mmengine - INFO - Epoch(train) [337][20/63] lr: 1.0000e-05 eta: 17:50:02 time: 3.4872 data_time: 0.2560 memory: 28971 loss_text: 0.1069 loss_kernel: 0.0517 loss: 0.1587 2022/08/26 22:31:33 - mmengine - INFO - Epoch(train) [337][25/63] lr: 1.0000e-05 eta: 17:50:02 time: 5.4357 data_time: 0.2569 memory: 28971 loss_text: 0.0967 loss_kernel: 0.0471 loss: 0.1438 2022/08/26 22:31:42 - mmengine - INFO - Epoch(train) [337][30/63] lr: 1.0000e-05 eta: 17:49:19 time: 3.3148 data_time: 0.1951 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0577 loss: 0.1804 2022/08/26 22:32:22 - mmengine - INFO - Epoch(train) [337][35/63] lr: 1.0000e-05 eta: 17:49:19 time: 4.8904 data_time: 0.3930 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0586 loss: 0.1831 2022/08/26 22:32:44 - mmengine - INFO - Epoch(train) [337][40/63] lr: 1.0000e-05 eta: 17:48:59 time: 6.1522 data_time: 0.3647 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0651 loss: 0.2049 2022/08/26 22:32:50 - mmengine - INFO - Epoch(train) [337][45/63] lr: 1.0000e-05 eta: 17:48:59 time: 2.7623 data_time: 0.2773 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0696 loss: 0.2203 2022/08/26 22:33:10 - mmengine - INFO - Epoch(train) [337][50/63] lr: 1.0000e-05 eta: 17:48:10 time: 2.5528 data_time: 0.2187 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0607 loss: 0.1894 2022/08/26 22:33:16 - mmengine - INFO - Epoch(train) [337][55/63] lr: 1.0000e-05 eta: 17:48:10 time: 2.6102 data_time: 0.1109 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0603 loss: 0.1871 2022/08/26 22:33:36 - mmengine - INFO - Epoch(train) [337][60/63] lr: 1.0000e-05 eta: 17:47:21 time: 2.6281 data_time: 0.1958 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0722 loss: 0.2275 2022/08/26 22:33:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:35:33 - mmengine - INFO - Epoch(train) [338][5/63] lr: 1.0000e-05 eta: 17:47:21 time: 11.8836 data_time: 9.7906 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0679 loss: 0.2168 2022/08/26 22:35:53 - mmengine - INFO - Epoch(train) [338][10/63] lr: 1.0000e-05 eta: 17:47:35 time: 13.2381 data_time: 9.8472 memory: 28971 loss_text: 0.1592 loss_kernel: 0.0732 loss: 0.2324 2022/08/26 22:35:58 - mmengine - INFO - Epoch(train) [338][15/63] lr: 1.0000e-05 eta: 17:47:35 time: 2.5258 data_time: 0.2256 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0617 loss: 0.1941 2022/08/26 22:36:21 - mmengine - INFO - Epoch(train) [338][20/63] lr: 1.0000e-05 eta: 17:46:49 time: 2.8703 data_time: 0.2269 memory: 28971 loss_text: 0.1158 loss_kernel: 0.0553 loss: 0.1710 2022/08/26 22:36:40 - mmengine - INFO - Epoch(train) [338][25/63] lr: 1.0000e-05 eta: 17:46:49 time: 4.1657 data_time: 0.2194 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0557 loss: 0.1719 2022/08/26 22:36:45 - mmengine - INFO - Epoch(train) [338][30/63] lr: 1.0000e-05 eta: 17:45:58 time: 2.3723 data_time: 0.1436 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0676 loss: 0.2112 2022/08/26 22:37:00 - mmengine - INFO - Epoch(train) [338][35/63] lr: 1.0000e-05 eta: 17:45:58 time: 1.9412 data_time: 0.0619 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0640 loss: 0.2020 2022/08/26 22:37:05 - mmengine - INFO - Epoch(train) [338][40/63] lr: 1.0000e-05 eta: 17:45:05 time: 1.9823 data_time: 0.1076 memory: 28971 loss_text: 0.1136 loss_kernel: 0.0528 loss: 0.1664 2022/08/26 22:37:24 - mmengine - INFO - Epoch(train) [338][45/63] lr: 1.0000e-05 eta: 17:45:05 time: 2.4219 data_time: 0.1966 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0619 loss: 0.1936 2022/08/26 22:37:40 - mmengine - INFO - Epoch(train) [338][50/63] lr: 1.0000e-05 eta: 17:44:23 time: 3.4085 data_time: 0.1544 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0593 loss: 0.1825 2022/08/26 22:37:47 - mmengine - INFO - Epoch(train) [338][55/63] lr: 1.0000e-05 eta: 17:44:23 time: 2.2747 data_time: 0.1865 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0513 loss: 0.1567 2022/08/26 22:38:05 - mmengine - INFO - Epoch(train) [338][60/63] lr: 1.0000e-05 eta: 17:43:34 time: 2.5358 data_time: 0.2615 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0664 loss: 0.2086 2022/08/26 22:38:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:39:51 - mmengine - INFO - Epoch(train) [339][5/63] lr: 1.0000e-05 eta: 17:43:34 time: 11.6195 data_time: 8.9675 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0664 loss: 0.2114 2022/08/26 22:40:03 - mmengine - INFO - Epoch(train) [339][10/63] lr: 1.0000e-05 eta: 17:43:33 time: 11.4425 data_time: 8.8603 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0662 loss: 0.2106 2022/08/26 22:40:15 - mmengine - INFO - Epoch(train) [339][15/63] lr: 1.0000e-05 eta: 17:43:33 time: 2.3636 data_time: 0.2420 memory: 28971 loss_text: 0.1072 loss_kernel: 0.0515 loss: 0.1588 2022/08/26 22:40:39 - mmengine - INFO - Epoch(train) [339][20/63] lr: 1.0000e-05 eta: 17:42:52 time: 3.5303 data_time: 0.3814 memory: 28971 loss_text: 0.1018 loss_kernel: 0.0494 loss: 0.1512 2022/08/26 22:40:44 - mmengine - INFO - Epoch(train) [339][25/63] lr: 1.0000e-05 eta: 17:42:52 time: 2.8768 data_time: 0.2842 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0703 loss: 0.2191 2022/08/26 22:41:07 - mmengine - INFO - Epoch(train) [339][30/63] lr: 1.0000e-05 eta: 17:42:05 time: 2.8394 data_time: 0.2929 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0686 loss: 0.2116 2022/08/26 22:41:22 - mmengine - INFO - Epoch(train) [339][35/63] lr: 1.0000e-05 eta: 17:42:05 time: 3.7028 data_time: 0.2690 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0587 loss: 0.1789 2022/08/26 22:41:38 - mmengine - INFO - Epoch(train) [339][40/63] lr: 1.0000e-05 eta: 17:41:21 time: 3.0892 data_time: 0.3803 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0697 loss: 0.2147 2022/08/26 22:42:05 - mmengine - INFO - Epoch(train) [339][45/63] lr: 1.0000e-05 eta: 17:41:21 time: 4.3954 data_time: 0.3647 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0760 loss: 0.2381 2022/08/26 22:42:09 - mmengine - INFO - Epoch(train) [339][50/63] lr: 1.0000e-05 eta: 17:40:37 time: 3.1531 data_time: 0.0992 memory: 28971 loss_text: 0.1524 loss_kernel: 0.0704 loss: 0.2228 2022/08/26 22:42:37 - mmengine - INFO - Epoch(train) [339][55/63] lr: 1.0000e-05 eta: 17:40:37 time: 3.2033 data_time: 0.1430 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0574 loss: 0.1789 2022/08/26 22:43:03 - mmengine - INFO - Epoch(train) [339][60/63] lr: 1.0000e-05 eta: 17:40:09 time: 5.3312 data_time: 0.3098 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0572 loss: 0.1807 2022/08/26 22:43:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:45:24 - mmengine - INFO - Epoch(train) [340][5/63] lr: 1.0000e-05 eta: 17:40:09 time: 14.3673 data_time: 10.1388 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0587 loss: 0.1829 2022/08/26 22:45:43 - mmengine - INFO - Epoch(train) [340][10/63] lr: 1.0000e-05 eta: 17:40:23 time: 13.3849 data_time: 9.8753 memory: 28971 loss_text: 0.0869 loss_kernel: 0.0433 loss: 0.1302 2022/08/26 22:45:49 - mmengine - INFO - Epoch(train) [340][15/63] lr: 1.0000e-05 eta: 17:40:23 time: 2.5290 data_time: 0.1671 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0602 loss: 0.1862 2022/08/26 22:46:10 - mmengine - INFO - Epoch(train) [340][20/63] lr: 1.0000e-05 eta: 17:39:35 time: 2.7080 data_time: 0.1984 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0684 loss: 0.2155 2022/08/26 22:46:32 - mmengine - INFO - Epoch(train) [340][25/63] lr: 1.0000e-05 eta: 17:39:35 time: 4.2792 data_time: 0.2635 memory: 28971 loss_text: 0.1466 loss_kernel: 0.0673 loss: 0.2139 2022/08/26 22:46:51 - mmengine - INFO - Epoch(train) [340][30/63] lr: 1.0000e-05 eta: 17:38:59 time: 4.1181 data_time: 0.2279 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0688 loss: 0.2189 2022/08/26 22:47:05 - mmengine - INFO - Epoch(train) [340][35/63] lr: 1.0000e-05 eta: 17:38:59 time: 3.2524 data_time: 0.1967 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0662 loss: 0.2082 2022/08/26 22:47:29 - mmengine - INFO - Epoch(train) [340][40/63] lr: 1.0000e-05 eta: 17:38:19 time: 3.7631 data_time: 0.2268 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0605 loss: 0.1917 2022/08/26 22:47:51 - mmengine - INFO - Epoch(train) [340][45/63] lr: 1.0000e-05 eta: 17:38:19 time: 4.6415 data_time: 0.2096 memory: 28971 loss_text: 0.1394 loss_kernel: 0.0648 loss: 0.2042 2022/08/26 22:48:18 - mmengine - INFO - Epoch(train) [340][50/63] lr: 1.0000e-05 eta: 17:37:48 time: 4.9204 data_time: 0.2908 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0690 loss: 0.2155 2022/08/26 22:48:48 - mmengine - INFO - Epoch(train) [340][55/63] lr: 1.0000e-05 eta: 17:37:48 time: 5.6713 data_time: 0.4979 memory: 28971 loss_text: 0.1028 loss_kernel: 0.0497 loss: 0.1525 2022/08/26 22:49:06 - mmengine - INFO - Epoch(train) [340][60/63] lr: 1.0000e-05 eta: 17:37:17 time: 4.8306 data_time: 0.4124 memory: 28971 loss_text: 0.0943 loss_kernel: 0.0459 loss: 0.1402 2022/08/26 22:49:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:49:34 - mmengine - INFO - Saving checkpoint at 340 epochs 2022/08/26 22:51:44 - mmengine - INFO - Epoch(train) [341][5/63] lr: 1.0000e-05 eta: 17:37:17 time: 16.2140 data_time: 10.0461 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0577 loss: 0.1810 2022/08/26 22:52:06 - mmengine - INFO - Epoch(train) [341][10/63] lr: 1.0000e-05 eta: 17:37:37 time: 14.2473 data_time: 10.1304 memory: 28971 loss_text: 0.1157 loss_kernel: 0.0547 loss: 0.1704 2022/08/26 22:52:12 - mmengine - INFO - Epoch(train) [341][15/63] lr: 1.0000e-05 eta: 17:37:37 time: 2.8101 data_time: 0.2035 memory: 28971 loss_text: 0.0960 loss_kernel: 0.0460 loss: 0.1420 2022/08/26 22:52:34 - mmengine - INFO - Epoch(train) [341][20/63] lr: 1.0000e-05 eta: 17:36:50 time: 2.8325 data_time: 0.2152 memory: 28971 loss_text: 0.0949 loss_kernel: 0.0455 loss: 0.1404 2022/08/26 22:52:54 - mmengine - INFO - Epoch(train) [341][25/63] lr: 1.0000e-05 eta: 17:36:50 time: 4.2080 data_time: 0.1990 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0570 loss: 0.1765 2022/08/26 22:53:03 - mmengine - INFO - Epoch(train) [341][30/63] lr: 1.0000e-05 eta: 17:36:04 time: 2.9376 data_time: 0.1025 memory: 28971 loss_text: 0.1180 loss_kernel: 0.0553 loss: 0.1732 2022/08/26 22:53:27 - mmengine - INFO - Epoch(train) [341][35/63] lr: 1.0000e-05 eta: 17:36:04 time: 3.2490 data_time: 0.1710 memory: 28971 loss_text: 0.1140 loss_kernel: 0.0530 loss: 0.1670 2022/08/26 22:53:32 - mmengine - INFO - Epoch(train) [341][40/63] lr: 1.0000e-05 eta: 17:35:18 time: 2.8910 data_time: 0.2575 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0639 loss: 0.2006 2022/08/26 22:53:53 - mmengine - INFO - Epoch(train) [341][45/63] lr: 1.0000e-05 eta: 17:35:18 time: 2.6521 data_time: 0.1800 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0642 loss: 0.2005 2022/08/26 22:53:58 - mmengine - INFO - Epoch(train) [341][50/63] lr: 1.0000e-05 eta: 17:34:29 time: 2.5569 data_time: 0.1349 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0624 loss: 0.1961 2022/08/26 22:54:21 - mmengine - INFO - Epoch(train) [341][55/63] lr: 1.0000e-05 eta: 17:34:29 time: 2.7305 data_time: 0.1466 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0583 loss: 0.1827 2022/08/26 22:54:39 - mmengine - INFO - Epoch(train) [341][60/63] lr: 1.0000e-05 eta: 17:33:53 time: 4.1201 data_time: 0.1855 memory: 28971 loss_text: 0.1153 loss_kernel: 0.0550 loss: 0.1704 2022/08/26 22:54:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 22:56:52 - mmengine - INFO - Epoch(train) [342][5/63] lr: 1.0000e-05 eta: 17:33:53 time: 14.8164 data_time: 10.3989 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0575 loss: 0.1797 2022/08/26 22:57:15 - mmengine - INFO - Epoch(train) [342][10/63] lr: 1.0000e-05 eta: 17:34:14 time: 14.5229 data_time: 10.4049 memory: 28971 loss_text: 0.1675 loss_kernel: 0.0759 loss: 0.2434 2022/08/26 22:57:19 - mmengine - INFO - Epoch(train) [342][15/63] lr: 1.0000e-05 eta: 17:34:14 time: 2.6951 data_time: 0.1176 memory: 28971 loss_text: 0.1568 loss_kernel: 0.0711 loss: 0.2279 2022/08/26 22:57:38 - mmengine - INFO - Epoch(train) [342][20/63] lr: 1.0000e-05 eta: 17:33:23 time: 2.2687 data_time: 0.1140 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0576 loss: 0.1803 2022/08/26 22:57:44 - mmengine - INFO - Epoch(train) [342][25/63] lr: 1.0000e-05 eta: 17:33:23 time: 2.5365 data_time: 0.2947 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0539 loss: 0.1661 2022/08/26 22:58:03 - mmengine - INFO - Epoch(train) [342][30/63] lr: 1.0000e-05 eta: 17:32:34 time: 2.5513 data_time: 0.2714 memory: 28971 loss_text: 0.1101 loss_kernel: 0.0526 loss: 0.1627 2022/08/26 22:58:26 - mmengine - INFO - Epoch(train) [342][35/63] lr: 1.0000e-05 eta: 17:32:34 time: 4.1611 data_time: 0.1740 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0612 loss: 0.1899 2022/08/26 22:58:47 - mmengine - INFO - Epoch(train) [342][40/63] lr: 1.0000e-05 eta: 17:31:59 time: 4.3815 data_time: 0.1685 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0667 loss: 0.2054 2022/08/26 22:59:14 - mmengine - INFO - Epoch(train) [342][45/63] lr: 1.0000e-05 eta: 17:31:59 time: 4.7775 data_time: 0.4948 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0645 loss: 0.1994 2022/08/26 22:59:19 - mmengine - INFO - Epoch(train) [342][50/63] lr: 1.0000e-05 eta: 17:31:16 time: 3.2909 data_time: 0.5555 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0592 loss: 0.1851 2022/08/26 22:59:50 - mmengine - INFO - Epoch(train) [342][55/63] lr: 1.0000e-05 eta: 17:31:16 time: 3.6135 data_time: 0.2789 memory: 28971 loss_text: 0.1123 loss_kernel: 0.0537 loss: 0.1660 2022/08/26 23:00:17 - mmengine - INFO - Epoch(train) [342][60/63] lr: 1.0000e-05 eta: 17:30:51 time: 5.7408 data_time: 0.3380 memory: 28971 loss_text: 0.1028 loss_kernel: 0.0495 loss: 0.1523 2022/08/26 23:00:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:02:21 - mmengine - INFO - Epoch(train) [343][5/63] lr: 1.0000e-05 eta: 17:30:51 time: 14.6960 data_time: 9.9018 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0663 loss: 0.2084 2022/08/26 23:02:37 - mmengine - INFO - Epoch(train) [343][10/63] lr: 1.0000e-05 eta: 17:31:04 time: 13.4286 data_time: 9.7855 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0654 loss: 0.2060 2022/08/26 23:02:48 - mmengine - INFO - Epoch(train) [343][15/63] lr: 1.0000e-05 eta: 17:31:04 time: 2.6474 data_time: 0.2441 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0615 loss: 0.1937 2022/08/26 23:02:52 - mmengine - INFO - Epoch(train) [343][20/63] lr: 1.0000e-05 eta: 17:30:08 time: 1.5412 data_time: 0.2166 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0603 loss: 0.1907 2022/08/26 23:03:11 - mmengine - INFO - Epoch(train) [343][25/63] lr: 1.0000e-05 eta: 17:30:08 time: 2.3027 data_time: 0.1102 memory: 28971 loss_text: 0.1238 loss_kernel: 0.0588 loss: 0.1826 2022/08/26 23:03:16 - mmengine - INFO - Epoch(train) [343][30/63] lr: 1.0000e-05 eta: 17:29:17 time: 2.3403 data_time: 0.1310 memory: 28971 loss_text: 0.1358 loss_kernel: 0.0648 loss: 0.2006 2022/08/26 23:03:39 - mmengine - INFO - Epoch(train) [343][35/63] lr: 1.0000e-05 eta: 17:29:17 time: 2.8115 data_time: 0.0898 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0692 loss: 0.2177 2022/08/26 23:03:43 - mmengine - INFO - Epoch(train) [343][40/63] lr: 1.0000e-05 eta: 17:28:30 time: 2.7801 data_time: 0.0832 memory: 28971 loss_text: 0.1332 loss_kernel: 0.0626 loss: 0.1958 2022/08/26 23:04:03 - mmengine - INFO - Epoch(train) [343][45/63] lr: 1.0000e-05 eta: 17:28:30 time: 2.3941 data_time: 0.0916 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0660 loss: 0.2071 2022/08/26 23:04:08 - mmengine - INFO - Epoch(train) [343][50/63] lr: 1.0000e-05 eta: 17:27:41 time: 2.4326 data_time: 0.1070 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0592 loss: 0.1803 2022/08/26 23:04:32 - mmengine - INFO - Epoch(train) [343][55/63] lr: 1.0000e-05 eta: 17:27:41 time: 2.9524 data_time: 0.1991 memory: 28971 loss_text: 0.0772 loss_kernel: 0.0395 loss: 0.1167 2022/08/26 23:04:55 - mmengine - INFO - Epoch(train) [343][60/63] lr: 1.0000e-05 eta: 17:27:08 time: 4.6801 data_time: 0.2402 memory: 28971 loss_text: 0.1022 loss_kernel: 0.0474 loss: 0.1496 2022/08/26 23:05:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:07:01 - mmengine - INFO - Epoch(train) [344][5/63] lr: 1.0000e-05 eta: 17:27:08 time: 14.4661 data_time: 9.8171 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0544 loss: 0.1672 2022/08/26 23:07:22 - mmengine - INFO - Epoch(train) [344][10/63] lr: 1.0000e-05 eta: 17:27:26 time: 14.1658 data_time: 9.7715 memory: 28971 loss_text: 0.0921 loss_kernel: 0.0452 loss: 0.1373 2022/08/26 23:07:44 - mmengine - INFO - Epoch(train) [344][15/63] lr: 1.0000e-05 eta: 17:27:26 time: 4.3512 data_time: 0.1729 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0573 loss: 0.1789 2022/08/26 23:07:49 - mmengine - INFO - Epoch(train) [344][20/63] lr: 1.0000e-05 eta: 17:26:38 time: 2.7400 data_time: 0.1446 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0555 loss: 0.1729 2022/08/26 23:08:11 - mmengine - INFO - Epoch(train) [344][25/63] lr: 1.0000e-05 eta: 17:26:38 time: 2.6570 data_time: 0.1988 memory: 28971 loss_text: 0.1096 loss_kernel: 0.0527 loss: 0.1623 2022/08/26 23:08:15 - mmengine - INFO - Epoch(train) [344][30/63] lr: 1.0000e-05 eta: 17:25:50 time: 2.5907 data_time: 0.1506 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0713 loss: 0.2263 2022/08/26 23:08:39 - mmengine - INFO - Epoch(train) [344][35/63] lr: 1.0000e-05 eta: 17:25:50 time: 2.8004 data_time: 0.2018 memory: 28971 loss_text: 0.1634 loss_kernel: 0.0744 loss: 0.2378 2022/08/26 23:08:54 - mmengine - INFO - Epoch(train) [344][40/63] lr: 1.0000e-05 eta: 17:25:11 time: 3.8464 data_time: 0.2052 memory: 28971 loss_text: 0.1332 loss_kernel: 0.0620 loss: 0.1952 2022/08/26 23:09:06 - mmengine - INFO - Epoch(train) [344][45/63] lr: 1.0000e-05 eta: 17:25:11 time: 2.7223 data_time: 0.2520 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0662 loss: 0.2121 2022/08/26 23:09:29 - mmengine - INFO - Epoch(train) [344][50/63] lr: 1.0000e-05 eta: 17:24:29 time: 3.5376 data_time: 0.3670 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0656 loss: 0.2106 2022/08/26 23:09:34 - mmengine - INFO - Epoch(train) [344][55/63] lr: 1.0000e-05 eta: 17:24:29 time: 2.8367 data_time: 0.2245 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0581 loss: 0.1808 2022/08/26 23:09:57 - mmengine - INFO - Epoch(train) [344][60/63] lr: 1.0000e-05 eta: 17:23:42 time: 2.7348 data_time: 0.2577 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0606 loss: 0.1883 2022/08/26 23:10:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:12:14 - mmengine - INFO - Epoch(train) [345][5/63] lr: 1.0000e-05 eta: 17:23:42 time: 13.7985 data_time: 9.7989 memory: 28971 loss_text: 0.1524 loss_kernel: 0.0708 loss: 0.2232 2022/08/26 23:12:31 - mmengine - INFO - Epoch(train) [345][10/63] lr: 1.0000e-05 eta: 17:23:51 time: 13.0555 data_time: 9.7800 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0642 loss: 0.2055 2022/08/26 23:12:41 - mmengine - INFO - Epoch(train) [345][15/63] lr: 1.0000e-05 eta: 17:23:51 time: 2.6690 data_time: 0.2995 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0640 loss: 0.2051 2022/08/26 23:12:45 - mmengine - INFO - Epoch(train) [345][20/63] lr: 1.0000e-05 eta: 17:22:54 time: 1.4031 data_time: 0.2560 memory: 28971 loss_text: 0.1325 loss_kernel: 0.0616 loss: 0.1941 2022/08/26 23:13:06 - mmengine - INFO - Epoch(train) [345][25/63] lr: 1.0000e-05 eta: 17:22:54 time: 2.5597 data_time: 0.1506 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0601 loss: 0.1905 2022/08/26 23:13:22 - mmengine - INFO - Epoch(train) [345][30/63] lr: 1.0000e-05 eta: 17:22:13 time: 3.6762 data_time: 0.1853 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0597 loss: 0.1855 2022/08/26 23:13:32 - mmengine - INFO - Epoch(train) [345][35/63] lr: 1.0000e-05 eta: 17:22:13 time: 2.5543 data_time: 0.1683 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0597 loss: 0.1840 2022/08/26 23:13:47 - mmengine - INFO - Epoch(train) [345][40/63] lr: 1.0000e-05 eta: 17:21:24 time: 2.4529 data_time: 0.1253 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0621 loss: 0.1936 2022/08/26 23:13:56 - mmengine - INFO - Epoch(train) [345][45/63] lr: 1.0000e-05 eta: 17:21:24 time: 2.4504 data_time: 0.2362 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0585 loss: 0.1815 2022/08/26 23:14:14 - mmengine - INFO - Epoch(train) [345][50/63] lr: 1.0000e-05 eta: 17:20:36 time: 2.7114 data_time: 0.2463 memory: 28971 loss_text: 0.1346 loss_kernel: 0.0629 loss: 0.1975 2022/08/26 23:14:23 - mmengine - INFO - Epoch(train) [345][55/63] lr: 1.0000e-05 eta: 17:20:36 time: 2.6682 data_time: 0.1325 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0625 loss: 0.1970 2022/08/26 23:14:27 - mmengine - INFO - Epoch(train) [345][60/63] lr: 1.0000e-05 eta: 17:19:39 time: 1.3895 data_time: 0.1361 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0547 loss: 0.1702 2022/08/26 23:14:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:16:47 - mmengine - INFO - Epoch(train) [346][5/63] lr: 1.0000e-05 eta: 17:19:39 time: 14.0042 data_time: 10.2087 memory: 28971 loss_text: 0.1127 loss_kernel: 0.0535 loss: 0.1662 2022/08/26 23:16:52 - mmengine - INFO - Epoch(train) [346][10/63] lr: 1.0000e-05 eta: 17:19:41 time: 12.0851 data_time: 10.2473 memory: 28971 loss_text: 0.1050 loss_kernel: 0.0495 loss: 0.1545 2022/08/26 23:17:06 - mmengine - INFO - Epoch(train) [346][15/63] lr: 1.0000e-05 eta: 17:19:41 time: 1.9055 data_time: 0.1588 memory: 28971 loss_text: 0.0711 loss_kernel: 0.0367 loss: 0.1078 2022/08/26 23:17:10 - mmengine - INFO - Epoch(train) [346][20/63] lr: 1.0000e-05 eta: 17:18:47 time: 1.8299 data_time: 0.1123 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0612 loss: 0.1923 2022/08/26 23:17:33 - mmengine - INFO - Epoch(train) [346][25/63] lr: 1.0000e-05 eta: 17:18:47 time: 2.6524 data_time: 0.0725 memory: 28971 loss_text: 0.1739 loss_kernel: 0.0776 loss: 0.2515 2022/08/26 23:17:37 - mmengine - INFO - Epoch(train) [346][30/63] lr: 1.0000e-05 eta: 17:17:59 time: 2.6645 data_time: 0.1079 memory: 28971 loss_text: 0.1559 loss_kernel: 0.0710 loss: 0.2270 2022/08/26 23:18:00 - mmengine - INFO - Epoch(train) [346][35/63] lr: 1.0000e-05 eta: 17:17:59 time: 2.7247 data_time: 0.1511 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0618 loss: 0.1946 2022/08/26 23:18:04 - mmengine - INFO - Epoch(train) [346][40/63] lr: 1.0000e-05 eta: 17:17:11 time: 2.7084 data_time: 0.1237 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0572 loss: 0.1798 2022/08/26 23:18:18 - mmengine - INFO - Epoch(train) [346][45/63] lr: 1.0000e-05 eta: 17:17:11 time: 1.8533 data_time: 0.0821 memory: 28971 loss_text: 0.1509 loss_kernel: 0.0694 loss: 0.2203 2022/08/26 23:18:24 - mmengine - INFO - Epoch(train) [346][50/63] lr: 1.0000e-05 eta: 17:16:18 time: 1.9957 data_time: 0.1750 memory: 28971 loss_text: 0.1441 loss_kernel: 0.0677 loss: 0.2118 2022/08/26 23:18:48 - mmengine - INFO - Epoch(train) [346][55/63] lr: 1.0000e-05 eta: 17:16:18 time: 2.9038 data_time: 0.2807 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0663 loss: 0.2067 2022/08/26 23:19:28 - mmengine - INFO - Epoch(train) [346][60/63] lr: 1.0000e-05 eta: 17:15:58 time: 6.3718 data_time: 0.2961 memory: 28971 loss_text: 0.1753 loss_kernel: 0.0798 loss: 0.2551 2022/08/26 23:19:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:21:50 - mmengine - INFO - Epoch(train) [347][5/63] lr: 1.0000e-05 eta: 17:15:58 time: 16.1524 data_time: 9.8253 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0639 loss: 0.2014 2022/08/26 23:22:08 - mmengine - INFO - Epoch(train) [347][10/63] lr: 1.0000e-05 eta: 17:16:07 time: 13.1812 data_time: 9.7379 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0656 loss: 0.2112 2022/08/26 23:22:19 - mmengine - INFO - Epoch(train) [347][15/63] lr: 1.0000e-05 eta: 17:16:07 time: 2.9284 data_time: 0.1767 memory: 28971 loss_text: 0.1534 loss_kernel: 0.0699 loss: 0.2233 2022/08/26 23:22:36 - mmengine - INFO - Epoch(train) [347][20/63] lr: 1.0000e-05 eta: 17:15:20 time: 2.7528 data_time: 0.1585 memory: 28971 loss_text: 0.1302 loss_kernel: 0.0609 loss: 0.1911 2022/08/26 23:22:45 - mmengine - INFO - Epoch(train) [347][25/63] lr: 1.0000e-05 eta: 17:15:20 time: 2.6598 data_time: 0.2041 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0588 loss: 0.1858 2022/08/26 23:23:10 - mmengine - INFO - Epoch(train) [347][30/63] lr: 1.0000e-05 eta: 17:14:37 time: 3.3820 data_time: 0.2377 memory: 28971 loss_text: 0.1355 loss_kernel: 0.0625 loss: 0.1980 2022/08/26 23:23:14 - mmengine - INFO - Epoch(train) [347][35/63] lr: 1.0000e-05 eta: 17:14:37 time: 2.8732 data_time: 0.1597 memory: 28971 loss_text: 0.1389 loss_kernel: 0.0652 loss: 0.2041 2022/08/26 23:23:47 - mmengine - INFO - Epoch(train) [347][40/63] lr: 1.0000e-05 eta: 17:13:58 time: 3.7568 data_time: 0.1594 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0580 loss: 0.1805 2022/08/26 23:24:16 - mmengine - INFO - Epoch(train) [347][45/63] lr: 1.0000e-05 eta: 17:13:58 time: 6.1739 data_time: 0.3685 memory: 28971 loss_text: 0.1151 loss_kernel: 0.0548 loss: 0.1699 2022/08/26 23:24:37 - mmengine - INFO - Epoch(train) [347][50/63] lr: 1.0000e-05 eta: 17:13:26 time: 4.9384 data_time: 0.4240 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0630 loss: 0.1962 2022/08/26 23:24:42 - mmengine - INFO - Epoch(train) [347][55/63] lr: 1.0000e-05 eta: 17:13:26 time: 2.5838 data_time: 0.2603 memory: 28971 loss_text: 0.1355 loss_kernel: 0.0638 loss: 0.1993 2022/08/26 23:25:05 - mmengine - INFO - Epoch(train) [347][60/63] lr: 1.0000e-05 eta: 17:12:40 time: 2.8035 data_time: 0.2755 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0639 loss: 0.2003 2022/08/26 23:25:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:26:48 - mmengine - INFO - Epoch(train) [348][5/63] lr: 1.0000e-05 eta: 17:12:40 time: 10.6941 data_time: 9.0708 memory: 28971 loss_text: 0.1725 loss_kernel: 0.0781 loss: 0.2506 2022/08/26 23:26:53 - mmengine - INFO - Epoch(train) [348][10/63] lr: 1.0000e-05 eta: 17:12:28 time: 10.3497 data_time: 8.9159 memory: 28971 loss_text: 0.1616 loss_kernel: 0.0718 loss: 0.2335 2022/08/26 23:27:05 - mmengine - INFO - Epoch(train) [348][15/63] lr: 1.0000e-05 eta: 17:12:28 time: 1.6486 data_time: 0.0699 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0603 loss: 0.1910 2022/08/26 23:27:09 - mmengine - INFO - Epoch(train) [348][20/63] lr: 1.0000e-05 eta: 17:11:32 time: 1.6353 data_time: 0.0696 memory: 28971 loss_text: 0.1094 loss_kernel: 0.0531 loss: 0.1625 2022/08/26 23:27:21 - mmengine - INFO - Epoch(train) [348][25/63] lr: 1.0000e-05 eta: 17:11:32 time: 1.5858 data_time: 0.0985 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0638 loss: 0.2027 2022/08/26 23:27:25 - mmengine - INFO - Epoch(train) [348][30/63] lr: 1.0000e-05 eta: 17:10:37 time: 1.5967 data_time: 0.1014 memory: 28971 loss_text: 0.1574 loss_kernel: 0.0716 loss: 0.2290 2022/08/26 23:27:30 - mmengine - INFO - Epoch(train) [348][35/63] lr: 1.0000e-05 eta: 17:10:37 time: 0.9275 data_time: 0.0477 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0625 loss: 0.1973 2022/08/26 23:27:39 - mmengine - INFO - Epoch(train) [348][40/63] lr: 1.0000e-05 eta: 17:09:40 time: 1.3616 data_time: 0.0595 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0627 loss: 0.1978 2022/08/26 23:27:44 - mmengine - INFO - Epoch(train) [348][45/63] lr: 1.0000e-05 eta: 17:09:40 time: 1.3842 data_time: 0.0673 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0717 loss: 0.2274 2022/08/26 23:27:52 - mmengine - INFO - Epoch(train) [348][50/63] lr: 1.0000e-05 eta: 17:08:42 time: 1.3161 data_time: 0.1211 memory: 28971 loss_text: 0.1484 loss_kernel: 0.0674 loss: 0.2158 2022/08/26 23:27:58 - mmengine - INFO - Epoch(train) [348][55/63] lr: 1.0000e-05 eta: 17:08:42 time: 1.4033 data_time: 0.1215 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0594 loss: 0.1867 2022/08/26 23:28:11 - mmengine - INFO - Epoch(train) [348][60/63] lr: 1.0000e-05 eta: 17:07:49 time: 1.8694 data_time: 0.0551 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0655 loss: 0.2045 2022/08/26 23:28:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:29:51 - mmengine - INFO - Epoch(train) [349][5/63] lr: 1.0000e-05 eta: 17:07:49 time: 11.0024 data_time: 8.6660 memory: 28971 loss_text: 0.1385 loss_kernel: 0.0634 loss: 0.2019 2022/08/26 23:29:57 - mmengine - INFO - Epoch(train) [349][10/63] lr: 1.0000e-05 eta: 17:07:36 time: 10.2136 data_time: 8.6530 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0635 loss: 0.2012 2022/08/26 23:30:10 - mmengine - INFO - Epoch(train) [349][15/63] lr: 1.0000e-05 eta: 17:07:36 time: 1.8740 data_time: 0.0869 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0666 loss: 0.2052 2022/08/26 23:30:15 - mmengine - INFO - Epoch(train) [349][20/63] lr: 1.0000e-05 eta: 17:06:42 time: 1.8036 data_time: 0.0810 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0632 loss: 0.1941 2022/08/26 23:30:25 - mmengine - INFO - Epoch(train) [349][25/63] lr: 1.0000e-05 eta: 17:06:42 time: 1.4887 data_time: 0.1030 memory: 28971 loss_text: 0.1540 loss_kernel: 0.0718 loss: 0.2258 2022/08/26 23:30:30 - mmengine - INFO - Epoch(train) [349][30/63] lr: 1.0000e-05 eta: 17:05:46 time: 1.5063 data_time: 0.0983 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0633 loss: 0.1975 2022/08/26 23:30:39 - mmengine - INFO - Epoch(train) [349][35/63] lr: 1.0000e-05 eta: 17:05:46 time: 1.3487 data_time: 0.0367 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0554 loss: 0.1698 2022/08/26 23:30:48 - mmengine - INFO - Epoch(train) [349][40/63] lr: 1.0000e-05 eta: 17:04:52 time: 1.7986 data_time: 0.1542 memory: 28971 loss_text: 0.1356 loss_kernel: 0.0635 loss: 0.1991 2022/08/26 23:30:52 - mmengine - INFO - Epoch(train) [349][45/63] lr: 1.0000e-05 eta: 17:04:52 time: 1.3475 data_time: 0.1613 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0601 loss: 0.1883 2022/08/26 23:31:06 - mmengine - INFO - Epoch(train) [349][50/63] lr: 1.0000e-05 eta: 17:03:58 time: 1.7861 data_time: 0.0728 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0606 loss: 0.1895 2022/08/26 23:31:10 - mmengine - INFO - Epoch(train) [349][55/63] lr: 1.0000e-05 eta: 17:03:58 time: 1.8090 data_time: 0.0912 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0562 loss: 0.1755 2022/08/26 23:31:22 - mmengine - INFO - Epoch(train) [349][60/63] lr: 1.0000e-05 eta: 17:03:03 time: 1.6155 data_time: 0.0542 memory: 28971 loss_text: 0.1303 loss_kernel: 0.0611 loss: 0.1914 2022/08/26 23:31:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:33:17 - mmengine - INFO - Epoch(train) [350][5/63] lr: 1.0000e-05 eta: 17:03:03 time: 11.9840 data_time: 9.4368 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0679 loss: 0.2151 2022/08/26 23:33:39 - mmengine - INFO - Epoch(train) [350][10/63] lr: 1.0000e-05 eta: 17:03:12 time: 13.4089 data_time: 9.4562 memory: 28971 loss_text: 0.1111 loss_kernel: 0.0538 loss: 0.1649 2022/08/26 23:33:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:33:44 - mmengine - INFO - Epoch(train) [350][15/63] lr: 1.0000e-05 eta: 17:03:12 time: 2.7284 data_time: 0.1997 memory: 28971 loss_text: 0.0977 loss_kernel: 0.0480 loss: 0.1457 2022/08/26 23:34:07 - mmengine - INFO - Epoch(train) [350][20/63] lr: 1.0000e-05 eta: 17:02:26 time: 2.8049 data_time: 0.1543 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0568 loss: 0.1763 2022/08/26 23:34:12 - mmengine - INFO - Epoch(train) [350][25/63] lr: 1.0000e-05 eta: 17:02:26 time: 2.7486 data_time: 0.0966 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0668 loss: 0.2077 2022/08/26 23:34:30 - mmengine - INFO - Epoch(train) [350][30/63] lr: 1.0000e-05 eta: 17:01:35 time: 2.2266 data_time: 0.0762 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0716 loss: 0.2221 2022/08/26 23:34:39 - mmengine - INFO - Epoch(train) [350][35/63] lr: 1.0000e-05 eta: 17:01:35 time: 2.7368 data_time: 0.2908 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0639 loss: 0.1972 2022/08/26 23:34:58 - mmengine - INFO - Epoch(train) [350][40/63] lr: 1.0000e-05 eta: 17:00:48 time: 2.7824 data_time: 0.2682 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0686 loss: 0.2144 2022/08/26 23:35:09 - mmengine - INFO - Epoch(train) [350][45/63] lr: 1.0000e-05 eta: 17:00:48 time: 2.9471 data_time: 0.1161 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0598 loss: 0.1874 2022/08/26 23:35:28 - mmengine - INFO - Epoch(train) [350][50/63] lr: 1.0000e-05 eta: 17:00:04 time: 3.0879 data_time: 0.1563 memory: 28971 loss_text: 0.0752 loss_kernel: 0.0376 loss: 0.1129 2022/08/26 23:35:40 - mmengine - INFO - Epoch(train) [350][55/63] lr: 1.0000e-05 eta: 17:00:04 time: 3.0914 data_time: 0.1738 memory: 28971 loss_text: 0.1038 loss_kernel: 0.0500 loss: 0.1539 2022/08/26 23:36:04 - mmengine - INFO - Epoch(train) [350][60/63] lr: 1.0000e-05 eta: 16:59:22 time: 3.4767 data_time: 0.3449 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0736 loss: 0.2357 2022/08/26 23:36:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:38:14 - mmengine - INFO - Epoch(train) [351][5/63] lr: 1.0000e-05 eta: 16:59:22 time: 15.0922 data_time: 10.6753 memory: 28971 loss_text: 0.1042 loss_kernel: 0.0497 loss: 0.1539 2022/08/26 23:38:38 - mmengine - INFO - Epoch(train) [351][10/63] lr: 1.0000e-05 eta: 16:59:42 time: 14.9329 data_time: 10.5712 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0604 loss: 0.1887 2022/08/26 23:38:43 - mmengine - INFO - Epoch(train) [351][15/63] lr: 1.0000e-05 eta: 16:59:42 time: 2.8463 data_time: 0.2536 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0572 loss: 0.1746 2022/08/26 23:39:05 - mmengine - INFO - Epoch(train) [351][20/63] lr: 1.0000e-05 eta: 16:58:54 time: 2.6646 data_time: 0.0690 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0624 loss: 0.1935 2022/08/26 23:39:10 - mmengine - INFO - Epoch(train) [351][25/63] lr: 1.0000e-05 eta: 16:58:54 time: 2.7376 data_time: 0.1185 memory: 28971 loss_text: 0.1727 loss_kernel: 0.0792 loss: 0.2519 2022/08/26 23:39:33 - mmengine - INFO - Epoch(train) [351][30/63] lr: 1.0000e-05 eta: 16:58:08 time: 2.8394 data_time: 0.0952 memory: 28971 loss_text: 0.1643 loss_kernel: 0.0750 loss: 0.2393 2022/08/26 23:39:37 - mmengine - INFO - Epoch(train) [351][35/63] lr: 1.0000e-05 eta: 16:58:08 time: 2.7421 data_time: 0.0648 memory: 28971 loss_text: 0.1303 loss_kernel: 0.0597 loss: 0.1901 2022/08/26 23:40:02 - mmengine - INFO - Epoch(train) [351][40/63] lr: 1.0000e-05 eta: 16:57:22 time: 2.8563 data_time: 0.0591 memory: 28971 loss_text: 0.0982 loss_kernel: 0.0465 loss: 0.1447 2022/08/26 23:40:06 - mmengine - INFO - Epoch(train) [351][45/63] lr: 1.0000e-05 eta: 16:57:22 time: 2.8780 data_time: 0.0667 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0607 loss: 0.1914 2022/08/26 23:40:35 - mmengine - INFO - Epoch(train) [351][50/63] lr: 1.0000e-05 eta: 16:56:39 time: 3.2873 data_time: 0.1909 memory: 28971 loss_text: 0.1620 loss_kernel: 0.0747 loss: 0.2367 2022/08/26 23:41:04 - mmengine - INFO - Epoch(train) [351][55/63] lr: 1.0000e-05 eta: 16:56:39 time: 5.6874 data_time: 0.2328 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0631 loss: 0.1972 2022/08/26 23:41:28 - mmengine - INFO - Epoch(train) [351][60/63] lr: 1.0000e-05 eta: 16:56:10 time: 5.3295 data_time: 0.2616 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0624 loss: 0.1955 2022/08/26 23:41:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:43:40 - mmengine - INFO - Epoch(train) [352][5/63] lr: 1.0000e-05 eta: 16:56:10 time: 15.2021 data_time: 10.2409 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0686 loss: 0.2158 2022/08/26 23:44:03 - mmengine - INFO - Epoch(train) [352][10/63] lr: 1.0000e-05 eta: 16:56:29 time: 14.8153 data_time: 10.0709 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0560 loss: 0.1728 2022/08/26 23:44:10 - mmengine - INFO - Epoch(train) [352][15/63] lr: 1.0000e-05 eta: 16:56:29 time: 3.0087 data_time: 0.1533 memory: 28971 loss_text: 0.1015 loss_kernel: 0.0489 loss: 0.1503 2022/08/26 23:44:34 - mmengine - INFO - Epoch(train) [352][20/63] lr: 1.0000e-05 eta: 16:55:45 time: 3.1200 data_time: 0.2149 memory: 28971 loss_text: 0.1079 loss_kernel: 0.0517 loss: 0.1596 2022/08/26 23:44:39 - mmengine - INFO - Epoch(train) [352][25/63] lr: 1.0000e-05 eta: 16:55:45 time: 2.8870 data_time: 0.1460 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0597 loss: 0.1861 2022/08/26 23:44:59 - mmengine - INFO - Epoch(train) [352][30/63] lr: 1.0000e-05 eta: 16:54:56 time: 2.4843 data_time: 0.0962 memory: 28971 loss_text: 0.1015 loss_kernel: 0.0488 loss: 0.1502 2022/08/26 23:45:04 - mmengine - INFO - Epoch(train) [352][35/63] lr: 1.0000e-05 eta: 16:54:56 time: 2.5396 data_time: 0.1247 memory: 28971 loss_text: 0.0917 loss_kernel: 0.0448 loss: 0.1366 2022/08/26 23:45:26 - mmengine - INFO - Epoch(train) [352][40/63] lr: 1.0000e-05 eta: 16:54:09 time: 2.7432 data_time: 0.1287 memory: 28971 loss_text: 0.1157 loss_kernel: 0.0539 loss: 0.1696 2022/08/26 23:45:31 - mmengine - INFO - Epoch(train) [352][45/63] lr: 1.0000e-05 eta: 16:54:09 time: 2.7278 data_time: 0.1032 memory: 28971 loss_text: 0.1306 loss_kernel: 0.0597 loss: 0.1903 2022/08/26 23:45:57 - mmengine - INFO - Epoch(train) [352][50/63] lr: 1.0000e-05 eta: 16:53:24 time: 3.0926 data_time: 0.1747 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0578 loss: 0.1810 2022/08/26 23:46:01 - mmengine - INFO - Epoch(train) [352][55/63] lr: 1.0000e-05 eta: 16:53:24 time: 2.9949 data_time: 0.1565 memory: 28971 loss_text: 0.1242 loss_kernel: 0.0577 loss: 0.1820 2022/08/26 23:46:28 - mmengine - INFO - Epoch(train) [352][60/63] lr: 1.0000e-05 eta: 16:52:40 time: 3.0927 data_time: 0.1101 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0599 loss: 0.1908 2022/08/26 23:46:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:48:43 - mmengine - INFO - Epoch(train) [353][5/63] lr: 1.0000e-05 eta: 16:52:40 time: 13.6243 data_time: 10.2811 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0741 loss: 0.2349 2022/08/26 23:49:06 - mmengine - INFO - Epoch(train) [353][10/63] lr: 1.0000e-05 eta: 16:52:59 time: 14.9130 data_time: 10.2522 memory: 28971 loss_text: 0.1544 loss_kernel: 0.0708 loss: 0.2252 2022/08/26 23:49:15 - mmengine - INFO - Epoch(train) [353][15/63] lr: 1.0000e-05 eta: 16:52:59 time: 3.1806 data_time: 0.1776 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0619 loss: 0.1957 2022/08/26 23:49:38 - mmengine - INFO - Epoch(train) [353][20/63] lr: 1.0000e-05 eta: 16:52:14 time: 3.1388 data_time: 0.2722 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0635 loss: 0.1999 2022/08/26 23:50:02 - mmengine - INFO - Epoch(train) [353][25/63] lr: 1.0000e-05 eta: 16:52:14 time: 4.6688 data_time: 0.2131 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0679 loss: 0.2149 2022/08/26 23:50:06 - mmengine - INFO - Epoch(train) [353][30/63] lr: 1.0000e-05 eta: 16:51:28 time: 2.8363 data_time: 0.1472 memory: 28971 loss_text: 0.1224 loss_kernel: 0.0579 loss: 0.1803 2022/08/26 23:50:31 - mmengine - INFO - Epoch(train) [353][35/63] lr: 1.0000e-05 eta: 16:51:28 time: 2.9186 data_time: 0.1094 memory: 28971 loss_text: 0.1105 loss_kernel: 0.0542 loss: 0.1647 2022/08/26 23:50:35 - mmengine - INFO - Epoch(train) [353][40/63] lr: 1.0000e-05 eta: 16:50:42 time: 2.8939 data_time: 0.0720 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0619 loss: 0.1928 2022/08/26 23:51:00 - mmengine - INFO - Epoch(train) [353][45/63] lr: 1.0000e-05 eta: 16:50:42 time: 2.9440 data_time: 0.1211 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0626 loss: 0.1988 2022/08/26 23:51:05 - mmengine - INFO - Epoch(train) [353][50/63] lr: 1.0000e-05 eta: 16:49:57 time: 2.9717 data_time: 0.1349 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0623 loss: 0.1972 2022/08/26 23:51:29 - mmengine - INFO - Epoch(train) [353][55/63] lr: 1.0000e-05 eta: 16:49:57 time: 2.8500 data_time: 0.2139 memory: 28971 loss_text: 0.1397 loss_kernel: 0.0645 loss: 0.2042 2022/08/26 23:51:51 - mmengine - INFO - Epoch(train) [353][60/63] lr: 1.0000e-05 eta: 16:49:23 time: 4.5649 data_time: 0.3060 memory: 28971 loss_text: 0.1438 loss_kernel: 0.0652 loss: 0.2090 2022/08/26 23:51:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:54:03 - mmengine - INFO - Epoch(train) [354][5/63] lr: 1.0000e-05 eta: 16:49:23 time: 13.1542 data_time: 10.6595 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0640 loss: 0.2023 2022/08/26 23:54:25 - mmengine - INFO - Epoch(train) [354][10/63] lr: 1.0000e-05 eta: 16:49:38 time: 14.5566 data_time: 10.8106 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0667 loss: 0.2125 2022/08/26 23:54:30 - mmengine - INFO - Epoch(train) [354][15/63] lr: 1.0000e-05 eta: 16:49:38 time: 2.9300 data_time: 0.4280 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0612 loss: 0.1919 2022/08/26 23:54:50 - mmengine - INFO - Epoch(train) [354][20/63] lr: 1.0000e-05 eta: 16:48:49 time: 2.4106 data_time: 0.0435 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0684 loss: 0.2130 2022/08/26 23:54:55 - mmengine - INFO - Epoch(train) [354][25/63] lr: 1.0000e-05 eta: 16:48:49 time: 2.5188 data_time: 0.1417 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0667 loss: 0.2090 2022/08/26 23:55:20 - mmengine - INFO - Epoch(train) [354][30/63] lr: 1.0000e-05 eta: 16:48:04 time: 3.0473 data_time: 0.2134 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0583 loss: 0.1813 2022/08/26 23:55:25 - mmengine - INFO - Epoch(train) [354][35/63] lr: 1.0000e-05 eta: 16:48:04 time: 2.9335 data_time: 0.1395 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0634 loss: 0.1980 2022/08/26 23:55:47 - mmengine - INFO - Epoch(train) [354][40/63] lr: 1.0000e-05 eta: 16:47:17 time: 2.6469 data_time: 0.1371 memory: 28971 loss_text: 0.1525 loss_kernel: 0.0703 loss: 0.2228 2022/08/26 23:56:03 - mmengine - INFO - Epoch(train) [354][45/63] lr: 1.0000e-05 eta: 16:47:17 time: 3.6516 data_time: 0.1478 memory: 28971 loss_text: 0.1439 loss_kernel: 0.0662 loss: 0.2101 2022/08/26 23:56:13 - mmengine - INFO - Epoch(train) [354][50/63] lr: 1.0000e-05 eta: 16:46:29 time: 2.6363 data_time: 0.3521 memory: 28971 loss_text: 0.1203 loss_kernel: 0.0570 loss: 0.1774 2022/08/26 23:56:38 - mmengine - INFO - Epoch(train) [354][55/63] lr: 1.0000e-05 eta: 16:46:29 time: 3.6179 data_time: 0.3618 memory: 28971 loss_text: 0.1010 loss_kernel: 0.0489 loss: 0.1498 2022/08/26 23:56:58 - mmengine - INFO - Epoch(train) [354][60/63] lr: 1.0000e-05 eta: 16:45:54 time: 4.4956 data_time: 0.2824 memory: 28971 loss_text: 0.1322 loss_kernel: 0.0614 loss: 0.1936 2022/08/26 23:57:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/26 23:59:00 - mmengine - INFO - Epoch(train) [355][5/63] lr: 1.0000e-05 eta: 16:45:54 time: 13.7184 data_time: 10.0561 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0635 loss: 0.2014 2022/08/26 23:59:17 - mmengine - INFO - Epoch(train) [355][10/63] lr: 1.0000e-05 eta: 16:45:59 time: 13.0658 data_time: 10.0838 memory: 28971 loss_text: 0.1275 loss_kernel: 0.0600 loss: 0.1875 2022/08/26 23:59:25 - mmengine - INFO - Epoch(train) [355][15/63] lr: 1.0000e-05 eta: 16:45:59 time: 2.5257 data_time: 0.4117 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0549 loss: 0.1691 2022/08/26 23:59:30 - mmengine - INFO - Epoch(train) [355][20/63] lr: 1.0000e-05 eta: 16:45:03 time: 1.4450 data_time: 0.3024 memory: 28971 loss_text: 0.1092 loss_kernel: 0.0526 loss: 0.1618 2022/08/26 23:59:50 - mmengine - INFO - Epoch(train) [355][25/63] lr: 1.0000e-05 eta: 16:45:03 time: 2.4691 data_time: 0.1263 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0631 loss: 0.1983 2022/08/26 23:59:55 - mmengine - INFO - Epoch(train) [355][30/63] lr: 1.0000e-05 eta: 16:44:15 time: 2.5457 data_time: 0.1555 memory: 28971 loss_text: 0.1609 loss_kernel: 0.0724 loss: 0.2332 2022/08/27 00:00:30 - mmengine - INFO - Epoch(train) [355][35/63] lr: 1.0000e-05 eta: 16:44:15 time: 4.0038 data_time: 0.1287 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0578 loss: 0.1839 2022/08/27 00:00:35 - mmengine - INFO - Epoch(train) [355][40/63] lr: 1.0000e-05 eta: 16:43:36 time: 3.9207 data_time: 0.1346 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0565 loss: 0.1754 2022/08/27 00:00:55 - mmengine - INFO - Epoch(train) [355][45/63] lr: 1.0000e-05 eta: 16:43:36 time: 2.5265 data_time: 0.1077 memory: 28971 loss_text: 0.1166 loss_kernel: 0.0554 loss: 0.1720 2022/08/27 00:01:00 - mmengine - INFO - Epoch(train) [355][50/63] lr: 1.0000e-05 eta: 16:42:48 time: 2.5648 data_time: 0.1089 memory: 28971 loss_text: 0.1030 loss_kernel: 0.0494 loss: 0.1525 2022/08/27 00:01:23 - mmengine - INFO - Epoch(train) [355][55/63] lr: 1.0000e-05 eta: 16:42:48 time: 2.7686 data_time: 0.1759 memory: 28971 loss_text: 0.1076 loss_kernel: 0.0515 loss: 0.1591 2022/08/27 00:01:46 - mmengine - INFO - Epoch(train) [355][60/63] lr: 1.0000e-05 eta: 16:42:13 time: 4.5347 data_time: 0.2615 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0590 loss: 0.1840 2022/08/27 00:01:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:03:50 - mmengine - INFO - Epoch(train) [356][5/63] lr: 1.0000e-05 eta: 16:42:13 time: 14.3671 data_time: 10.2094 memory: 28971 loss_text: 0.1076 loss_kernel: 0.0526 loss: 0.1602 2022/08/27 00:04:10 - mmengine - INFO - Epoch(train) [356][10/63] lr: 1.0000e-05 eta: 16:42:23 time: 13.7471 data_time: 10.0094 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0654 loss: 0.2055 2022/08/27 00:04:15 - mmengine - INFO - Epoch(train) [356][15/63] lr: 1.0000e-05 eta: 16:42:23 time: 2.4920 data_time: 0.1516 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0600 loss: 0.1885 2022/08/27 00:04:38 - mmengine - INFO - Epoch(train) [356][20/63] lr: 1.0000e-05 eta: 16:41:36 time: 2.7716 data_time: 0.1205 memory: 28971 loss_text: 0.1103 loss_kernel: 0.0529 loss: 0.1632 2022/08/27 00:05:05 - mmengine - INFO - Epoch(train) [356][25/63] lr: 1.0000e-05 eta: 16:41:36 time: 4.9635 data_time: 0.1280 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0550 loss: 0.1706 2022/08/27 00:05:10 - mmengine - INFO - Epoch(train) [356][30/63] lr: 1.0000e-05 eta: 16:40:52 time: 3.2458 data_time: 0.1642 memory: 28971 loss_text: 0.1129 loss_kernel: 0.0542 loss: 0.1671 2022/08/27 00:05:32 - mmengine - INFO - Epoch(train) [356][35/63] lr: 1.0000e-05 eta: 16:40:52 time: 2.7285 data_time: 0.1323 memory: 28971 loss_text: 0.1047 loss_kernel: 0.0515 loss: 0.1561 2022/08/27 00:05:55 - mmengine - INFO - Epoch(train) [356][40/63] lr: 1.0000e-05 eta: 16:40:18 time: 4.5281 data_time: 0.1621 memory: 28971 loss_text: 0.1082 loss_kernel: 0.0528 loss: 0.1609 2022/08/27 00:06:00 - mmengine - INFO - Epoch(train) [356][45/63] lr: 1.0000e-05 eta: 16:40:18 time: 2.7887 data_time: 0.1533 memory: 28971 loss_text: 0.1095 loss_kernel: 0.0526 loss: 0.1621 2022/08/27 00:06:27 - mmengine - INFO - Epoch(train) [356][50/63] lr: 1.0000e-05 eta: 16:39:33 time: 3.1177 data_time: 0.2288 memory: 28971 loss_text: 0.1124 loss_kernel: 0.0535 loss: 0.1659 2022/08/27 00:06:50 - mmengine - INFO - Epoch(train) [356][55/63] lr: 1.0000e-05 eta: 16:39:33 time: 5.0218 data_time: 0.3487 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0594 loss: 0.1861 2022/08/27 00:07:15 - mmengine - INFO - Epoch(train) [356][60/63] lr: 1.0000e-05 eta: 16:39:00 time: 4.7943 data_time: 0.2157 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0640 loss: 0.2001 2022/08/27 00:07:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:09:17 - mmengine - INFO - Epoch(train) [357][5/63] lr: 1.0000e-05 eta: 16:39:00 time: 13.0522 data_time: 10.0506 memory: 28971 loss_text: 0.1332 loss_kernel: 0.0614 loss: 0.1945 2022/08/27 00:09:37 - mmengine - INFO - Epoch(train) [357][10/63] lr: 1.0000e-05 eta: 16:39:08 time: 13.5825 data_time: 9.9308 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0599 loss: 0.1898 2022/08/27 00:09:44 - mmengine - INFO - Epoch(train) [357][15/63] lr: 1.0000e-05 eta: 16:39:08 time: 2.7963 data_time: 0.3196 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0668 loss: 0.2120 2022/08/27 00:10:07 - mmengine - INFO - Epoch(train) [357][20/63] lr: 1.0000e-05 eta: 16:38:23 time: 3.0288 data_time: 0.3354 memory: 28971 loss_text: 0.1484 loss_kernel: 0.0683 loss: 0.2167 2022/08/27 00:10:12 - mmengine - INFO - Epoch(train) [357][25/63] lr: 1.0000e-05 eta: 16:38:23 time: 2.7449 data_time: 0.1498 memory: 28971 loss_text: 0.1180 loss_kernel: 0.0560 loss: 0.1739 2022/08/27 00:10:33 - mmengine - INFO - Epoch(train) [357][30/63] lr: 1.0000e-05 eta: 16:37:35 time: 2.6356 data_time: 0.0946 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0567 loss: 0.1767 2022/08/27 00:10:39 - mmengine - INFO - Epoch(train) [357][35/63] lr: 1.0000e-05 eta: 16:37:35 time: 2.6852 data_time: 0.1590 memory: 28971 loss_text: 0.1086 loss_kernel: 0.0527 loss: 0.1613 2022/08/27 00:10:59 - mmengine - INFO - Epoch(train) [357][40/63] lr: 1.0000e-05 eta: 16:36:47 time: 2.5389 data_time: 0.1488 memory: 28971 loss_text: 0.1109 loss_kernel: 0.0537 loss: 0.1647 2022/08/27 00:11:04 - mmengine - INFO - Epoch(train) [357][45/63] lr: 1.0000e-05 eta: 16:36:47 time: 2.4848 data_time: 0.0846 memory: 28971 loss_text: 0.1314 loss_kernel: 0.0616 loss: 0.1930 2022/08/27 00:11:28 - mmengine - INFO - Epoch(train) [357][50/63] lr: 1.0000e-05 eta: 16:36:01 time: 2.8785 data_time: 0.0773 memory: 28971 loss_text: 0.1551 loss_kernel: 0.0717 loss: 0.2268 2022/08/27 00:11:33 - mmengine - INFO - Epoch(train) [357][55/63] lr: 1.0000e-05 eta: 16:36:01 time: 2.9078 data_time: 0.1015 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0629 loss: 0.1963 2022/08/27 00:12:03 - mmengine - INFO - Epoch(train) [357][60/63] lr: 1.0000e-05 eta: 16:35:19 time: 3.4757 data_time: 0.6636 memory: 28971 loss_text: 0.1198 loss_kernel: 0.0568 loss: 0.1766 2022/08/27 00:12:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:14:22 - mmengine - INFO - Epoch(train) [358][5/63] lr: 1.0000e-05 eta: 16:35:19 time: 14.4875 data_time: 10.4113 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0632 loss: 0.1966 2022/08/27 00:14:28 - mmengine - INFO - Epoch(train) [358][10/63] lr: 1.0000e-05 eta: 16:35:14 time: 11.7930 data_time: 9.9190 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0586 loss: 0.1851 2022/08/27 00:14:46 - mmengine - INFO - Epoch(train) [358][15/63] lr: 1.0000e-05 eta: 16:35:14 time: 2.3808 data_time: 0.1557 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0618 loss: 0.1970 2022/08/27 00:15:07 - mmengine - INFO - Epoch(train) [358][20/63] lr: 1.0000e-05 eta: 16:34:34 time: 3.7784 data_time: 0.1852 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0558 loss: 0.1738 2022/08/27 00:15:15 - mmengine - INFO - Epoch(train) [358][25/63] lr: 1.0000e-05 eta: 16:34:34 time: 2.9458 data_time: 0.3387 memory: 28971 loss_text: 0.1318 loss_kernel: 0.0620 loss: 0.1937 2022/08/27 00:15:20 - mmengine - INFO - Epoch(train) [358][30/63] lr: 1.0000e-05 eta: 16:33:39 time: 1.4693 data_time: 0.2961 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0653 loss: 0.2060 2022/08/27 00:15:39 - mmengine - INFO - Epoch(train) [358][35/63] lr: 1.0000e-05 eta: 16:33:39 time: 2.3523 data_time: 0.0737 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0599 loss: 0.1877 2022/08/27 00:15:44 - mmengine - INFO - Epoch(train) [358][40/63] lr: 1.0000e-05 eta: 16:32:50 time: 2.4041 data_time: 0.1006 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0605 loss: 0.1888 2022/08/27 00:16:04 - mmengine - INFO - Epoch(train) [358][45/63] lr: 1.0000e-05 eta: 16:32:50 time: 2.4550 data_time: 0.1298 memory: 28971 loss_text: 0.1165 loss_kernel: 0.0564 loss: 0.1729 2022/08/27 00:16:09 - mmengine - INFO - Epoch(train) [358][50/63] lr: 1.0000e-05 eta: 16:32:01 time: 2.4571 data_time: 0.1516 memory: 28971 loss_text: 0.1223 loss_kernel: 0.0595 loss: 0.1818 2022/08/27 00:16:33 - mmengine - INFO - Epoch(train) [358][55/63] lr: 1.0000e-05 eta: 16:32:01 time: 2.8704 data_time: 0.0827 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0552 loss: 0.1694 2022/08/27 00:16:38 - mmengine - INFO - Epoch(train) [358][60/63] lr: 1.0000e-05 eta: 16:31:15 time: 2.9601 data_time: 0.0796 memory: 28971 loss_text: 0.1057 loss_kernel: 0.0492 loss: 0.1549 2022/08/27 00:17:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:18:58 - mmengine - INFO - Epoch(train) [359][5/63] lr: 1.0000e-05 eta: 16:31:15 time: 14.1680 data_time: 9.7458 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0676 loss: 0.2186 2022/08/27 00:19:12 - mmengine - INFO - Epoch(train) [359][10/63] lr: 1.0000e-05 eta: 16:31:20 time: 13.1887 data_time: 9.8261 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0586 loss: 0.1836 2022/08/27 00:19:18 - mmengine - INFO - Epoch(train) [359][15/63] lr: 1.0000e-05 eta: 16:31:20 time: 1.9758 data_time: 0.1743 memory: 28971 loss_text: 0.0967 loss_kernel: 0.0473 loss: 0.1440 2022/08/27 00:19:35 - mmengine - INFO - Epoch(train) [359][20/63] lr: 1.0000e-05 eta: 16:30:30 time: 2.2937 data_time: 0.0989 memory: 28971 loss_text: 0.1027 loss_kernel: 0.0495 loss: 0.1522 2022/08/27 00:19:40 - mmengine - INFO - Epoch(train) [359][25/63] lr: 1.0000e-05 eta: 16:30:30 time: 2.2625 data_time: 0.1025 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0566 loss: 0.1761 2022/08/27 00:20:00 - mmengine - INFO - Epoch(train) [359][30/63] lr: 1.0000e-05 eta: 16:29:41 time: 2.4865 data_time: 0.3801 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0603 loss: 0.1895 2022/08/27 00:20:06 - mmengine - INFO - Epoch(train) [359][35/63] lr: 1.0000e-05 eta: 16:29:41 time: 2.6233 data_time: 0.3524 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0546 loss: 0.1690 2022/08/27 00:20:27 - mmengine - INFO - Epoch(train) [359][40/63] lr: 1.0000e-05 eta: 16:28:54 time: 2.6783 data_time: 0.1397 memory: 28971 loss_text: 0.1288 loss_kernel: 0.0608 loss: 0.1895 2022/08/27 00:20:31 - mmengine - INFO - Epoch(train) [359][45/63] lr: 1.0000e-05 eta: 16:28:54 time: 2.4971 data_time: 0.1098 memory: 28971 loss_text: 0.1570 loss_kernel: 0.0719 loss: 0.2289 2022/08/27 00:20:56 - mmengine - INFO - Epoch(train) [359][50/63] lr: 1.0000e-05 eta: 16:28:09 time: 2.9696 data_time: 0.1337 memory: 28971 loss_text: 0.1170 loss_kernel: 0.0552 loss: 0.1721 2022/08/27 00:21:01 - mmengine - INFO - Epoch(train) [359][55/63] lr: 1.0000e-05 eta: 16:28:09 time: 2.9644 data_time: 0.1534 memory: 28971 loss_text: 0.0774 loss_kernel: 0.0389 loss: 0.1163 2022/08/27 00:21:27 - mmengine - INFO - Epoch(train) [359][60/63] lr: 1.0000e-05 eta: 16:27:24 time: 3.0463 data_time: 0.1667 memory: 28971 loss_text: 0.1086 loss_kernel: 0.0521 loss: 0.1606 2022/08/27 00:21:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:23:31 - mmengine - INFO - Epoch(train) [360][5/63] lr: 1.0000e-05 eta: 16:27:24 time: 12.5538 data_time: 9.6054 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0617 loss: 0.1942 2022/08/27 00:23:52 - mmengine - INFO - Epoch(train) [360][10/63] lr: 1.0000e-05 eta: 16:27:33 time: 13.9741 data_time: 9.8022 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0616 loss: 0.1946 2022/08/27 00:23:56 - mmengine - INFO - Epoch(train) [360][15/63] lr: 1.0000e-05 eta: 16:27:33 time: 2.5156 data_time: 0.2899 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0650 loss: 0.2029 2022/08/27 00:24:17 - mmengine - INFO - Epoch(train) [360][20/63] lr: 1.0000e-05 eta: 16:26:44 time: 2.5018 data_time: 0.1515 memory: 28971 loss_text: 0.1427 loss_kernel: 0.0677 loss: 0.2105 2022/08/27 00:24:22 - mmengine - INFO - Epoch(train) [360][25/63] lr: 1.0000e-05 eta: 16:26:44 time: 2.5750 data_time: 0.1753 memory: 28971 loss_text: 0.1325 loss_kernel: 0.0626 loss: 0.1951 2022/08/27 00:24:45 - mmengine - INFO - Epoch(train) [360][30/63] lr: 1.0000e-05 eta: 16:25:58 time: 2.8490 data_time: 0.1141 memory: 28971 loss_text: 0.1486 loss_kernel: 0.0693 loss: 0.2179 2022/08/27 00:24:51 - mmengine - INFO - Epoch(train) [360][35/63] lr: 1.0000e-05 eta: 16:25:58 time: 2.8818 data_time: 0.1740 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0686 loss: 0.2143 2022/08/27 00:25:11 - mmengine - INFO - Epoch(train) [360][40/63] lr: 1.0000e-05 eta: 16:25:11 time: 2.6146 data_time: 0.1662 memory: 28971 loss_text: 0.1116 loss_kernel: 0.0536 loss: 0.1652 2022/08/27 00:25:16 - mmengine - INFO - Epoch(train) [360][45/63] lr: 1.0000e-05 eta: 16:25:11 time: 2.5208 data_time: 0.0907 memory: 28971 loss_text: 0.1080 loss_kernel: 0.0515 loss: 0.1595 2022/08/27 00:25:39 - mmengine - INFO - Epoch(train) [360][50/63] lr: 1.0000e-05 eta: 16:24:24 time: 2.7773 data_time: 0.1684 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0593 loss: 0.1838 2022/08/27 00:26:03 - mmengine - INFO - Epoch(train) [360][55/63] lr: 1.0000e-05 eta: 16:24:24 time: 4.6511 data_time: 0.2502 memory: 28971 loss_text: 0.1070 loss_kernel: 0.0531 loss: 0.1601 2022/08/27 00:26:21 - mmengine - INFO - Epoch(train) [360][60/63] lr: 1.0000e-05 eta: 16:23:46 time: 4.0747 data_time: 0.3259 memory: 28971 loss_text: 0.1036 loss_kernel: 0.0507 loss: 0.1543 2022/08/27 00:26:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:26:30 - mmengine - INFO - Saving checkpoint at 360 epochs 2022/08/27 00:27:22 - mmengine - INFO - Epoch(val) [360][5/500] eta: 16:23:46 time: 4.4429 data_time: 3.5488 memory: 28971 2022/08/27 00:27:22 - mmengine - INFO - Epoch(val) [360][10/500] eta: 0:36:56 time: 4.5237 data_time: 3.5973 memory: 3207 2022/08/27 00:27:23 - mmengine - INFO - Epoch(val) [360][15/500] eta: 0:36:56 time: 0.1691 data_time: 0.0510 memory: 3207 2022/08/27 00:27:23 - mmengine - INFO - Epoch(val) [360][20/500] eta: 0:00:43 time: 0.0898 data_time: 0.0026 memory: 3207 2022/08/27 00:27:24 - mmengine - INFO - Epoch(val) [360][25/500] eta: 0:00:43 time: 0.0944 data_time: 0.0025 memory: 3207 2022/08/27 00:27:24 - mmengine - INFO - Epoch(val) [360][30/500] eta: 0:00:46 time: 0.0985 data_time: 0.0027 memory: 3207 2022/08/27 00:27:25 - mmengine - INFO - Epoch(val) [360][35/500] eta: 0:00:46 time: 0.0882 data_time: 0.0028 memory: 3207 2022/08/27 00:27:25 - mmengine - INFO - Epoch(val) [360][40/500] eta: 0:00:41 time: 0.0899 data_time: 0.0028 memory: 3207 2022/08/27 00:27:26 - mmengine - INFO - Epoch(val) [360][45/500] eta: 0:00:41 time: 0.0920 data_time: 0.0029 memory: 3207 2022/08/27 00:27:26 - mmengine - INFO - Epoch(val) [360][50/500] eta: 0:00:39 time: 0.0873 data_time: 0.0029 memory: 3207 2022/08/27 00:27:26 - mmengine - INFO - Epoch(val) [360][55/500] eta: 0:00:39 time: 0.0862 data_time: 0.0027 memory: 3207 2022/08/27 00:27:27 - mmengine - INFO - Epoch(val) [360][60/500] eta: 0:00:37 time: 0.0842 data_time: 0.0026 memory: 3207 2022/08/27 00:27:37 - mmengine - INFO - Epoch(val) [360][65/500] eta: 0:00:37 time: 1.0668 data_time: 0.0098 memory: 3207 2022/08/27 00:27:40 - mmengine - INFO - Epoch(val) [360][70/500] eta: 0:09:19 time: 1.3022 data_time: 0.0725 memory: 3207 2022/08/27 00:27:40 - mmengine - INFO - Epoch(val) [360][75/500] eta: 0:09:19 time: 0.3260 data_time: 0.0654 memory: 3207 2022/08/27 00:27:41 - mmengine - INFO - Epoch(val) [360][80/500] eta: 0:00:38 time: 0.0920 data_time: 0.0039 memory: 3207 2022/08/27 00:27:41 - mmengine - INFO - Epoch(val) [360][85/500] eta: 0:00:38 time: 0.0948 data_time: 0.0175 memory: 3207 2022/08/27 00:27:42 - mmengine - INFO - Epoch(val) [360][90/500] eta: 0:00:40 time: 0.0976 data_time: 0.0163 memory: 3207 2022/08/27 00:27:42 - mmengine - INFO - Epoch(val) [360][95/500] eta: 0:00:40 time: 0.0936 data_time: 0.0026 memory: 3207 2022/08/27 00:27:43 - mmengine - INFO - Epoch(val) [360][100/500] eta: 0:00:47 time: 0.1184 data_time: 0.0076 memory: 3207 2022/08/27 00:27:43 - mmengine - INFO - Epoch(val) [360][105/500] eta: 0:00:47 time: 0.1124 data_time: 0.0085 memory: 3207 2022/08/27 00:27:44 - mmengine - INFO - Epoch(val) [360][110/500] eta: 0:00:36 time: 0.0931 data_time: 0.0035 memory: 3207 2022/08/27 00:27:44 - mmengine - INFO - Epoch(val) [360][115/500] eta: 0:00:36 time: 0.0927 data_time: 0.0027 memory: 3207 2022/08/27 00:27:45 - mmengine - INFO - Epoch(val) [360][120/500] eta: 0:00:32 time: 0.0846 data_time: 0.0028 memory: 3207 2022/08/27 00:27:45 - mmengine - INFO - Epoch(val) [360][125/500] eta: 0:00:32 time: 0.1075 data_time: 0.0027 memory: 3207 2022/08/27 00:27:48 - mmengine - INFO - Epoch(val) [360][130/500] eta: 0:02:07 time: 0.3454 data_time: 0.0302 memory: 3207 2022/08/27 00:27:49 - mmengine - INFO - Epoch(val) [360][135/500] eta: 0:02:07 time: 0.3473 data_time: 0.0468 memory: 3207 2022/08/27 00:27:49 - mmengine - INFO - Epoch(val) [360][140/500] eta: 0:00:39 time: 0.1096 data_time: 0.0192 memory: 3207 2022/08/27 00:27:57 - mmengine - INFO - Epoch(val) [360][145/500] eta: 0:00:39 time: 0.8090 data_time: 0.0047 memory: 3207 2022/08/27 00:27:58 - mmengine - INFO - Epoch(val) [360][150/500] eta: 0:04:46 time: 0.8187 data_time: 0.0119 memory: 3207 2022/08/27 00:27:58 - mmengine - INFO - Epoch(val) [360][155/500] eta: 0:04:46 time: 0.1436 data_time: 0.0422 memory: 3207 2022/08/27 00:27:59 - mmengine - INFO - Epoch(val) [360][160/500] eta: 0:00:54 time: 0.1606 data_time: 0.0503 memory: 3207 2022/08/27 00:28:00 - mmengine - INFO - Epoch(val) [360][165/500] eta: 0:00:54 time: 0.1124 data_time: 0.0179 memory: 3207 2022/08/27 00:28:00 - mmengine - INFO - Epoch(val) [360][170/500] eta: 0:00:28 time: 0.0855 data_time: 0.0026 memory: 3207 2022/08/27 00:28:00 - mmengine - INFO - Epoch(val) [360][175/500] eta: 0:00:28 time: 0.0818 data_time: 0.0026 memory: 3207 2022/08/27 00:28:01 - mmengine - INFO - Epoch(val) [360][180/500] eta: 0:00:26 time: 0.0821 data_time: 0.0027 memory: 3207 2022/08/27 00:28:01 - mmengine - INFO - Epoch(val) [360][185/500] eta: 0:00:26 time: 0.1126 data_time: 0.0265 memory: 3207 2022/08/27 00:28:02 - mmengine - INFO - Epoch(val) [360][190/500] eta: 0:00:35 time: 0.1159 data_time: 0.0264 memory: 3207 2022/08/27 00:28:02 - mmengine - INFO - Epoch(val) [360][195/500] eta: 0:00:35 time: 0.0860 data_time: 0.0025 memory: 3207 2022/08/27 00:28:03 - mmengine - INFO - Epoch(val) [360][200/500] eta: 0:00:26 time: 0.0898 data_time: 0.0028 memory: 3207 2022/08/27 00:28:03 - mmengine - INFO - Epoch(val) [360][205/500] eta: 0:00:26 time: 0.1136 data_time: 0.0084 memory: 3207 2022/08/27 00:28:04 - mmengine - INFO - Epoch(val) [360][210/500] eta: 0:00:30 time: 0.1043 data_time: 0.0081 memory: 3207 2022/08/27 00:28:05 - mmengine - INFO - Epoch(val) [360][215/500] eta: 0:00:30 time: 0.1157 data_time: 0.0026 memory: 3207 2022/08/27 00:28:05 - mmengine - INFO - Epoch(val) [360][220/500] eta: 0:00:32 time: 0.1178 data_time: 0.0026 memory: 3207 2022/08/27 00:28:05 - mmengine - INFO - Epoch(val) [360][225/500] eta: 0:00:32 time: 0.0852 data_time: 0.0026 memory: 3207 2022/08/27 00:28:18 - mmengine - INFO - Epoch(val) [360][230/500] eta: 0:05:32 time: 1.2307 data_time: 0.1186 memory: 3207 2022/08/27 00:28:18 - mmengine - INFO - Epoch(val) [360][235/500] eta: 0:05:32 time: 1.2884 data_time: 0.1572 memory: 3207 2022/08/27 00:28:19 - mmengine - INFO - Epoch(val) [360][240/500] eta: 0:00:37 time: 0.1456 data_time: 0.0412 memory: 3207 2022/08/27 00:28:19 - mmengine - INFO - Epoch(val) [360][245/500] eta: 0:00:37 time: 0.0857 data_time: 0.0027 memory: 3207 2022/08/27 00:28:20 - mmengine - INFO - Epoch(val) [360][250/500] eta: 0:00:21 time: 0.0870 data_time: 0.0027 memory: 3207 2022/08/27 00:28:20 - mmengine - INFO - Epoch(val) [360][255/500] eta: 0:00:21 time: 0.0867 data_time: 0.0026 memory: 3207 2022/08/27 00:28:21 - mmengine - INFO - Epoch(val) [360][260/500] eta: 0:00:20 time: 0.0851 data_time: 0.0043 memory: 3207 2022/08/27 00:28:21 - mmengine - INFO - Epoch(val) [360][265/500] eta: 0:00:20 time: 0.0949 data_time: 0.0141 memory: 3207 2022/08/27 00:28:22 - mmengine - INFO - Epoch(val) [360][270/500] eta: 0:00:27 time: 0.1205 data_time: 0.0416 memory: 3207 2022/08/27 00:28:22 - mmengine - INFO - Epoch(val) [360][275/500] eta: 0:00:27 time: 0.1101 data_time: 0.0318 memory: 3207 2022/08/27 00:28:23 - mmengine - INFO - Epoch(val) [360][280/500] eta: 0:00:35 time: 0.1605 data_time: 0.0023 memory: 3207 2022/08/27 00:28:24 - mmengine - INFO - Epoch(val) [360][285/500] eta: 0:00:35 time: 0.1746 data_time: 0.0064 memory: 3207 2022/08/27 00:28:24 - mmengine - INFO - Epoch(val) [360][290/500] eta: 0:00:22 time: 0.1054 data_time: 0.0143 memory: 3207 2022/08/27 00:28:25 - mmengine - INFO - Epoch(val) [360][295/500] eta: 0:00:22 time: 0.0959 data_time: 0.0106 memory: 3207 2022/08/27 00:28:25 - mmengine - INFO - Epoch(val) [360][300/500] eta: 0:00:19 time: 0.0987 data_time: 0.0113 memory: 3207 2022/08/27 00:28:38 - mmengine - INFO - Epoch(val) [360][305/500] eta: 0:00:19 time: 1.2438 data_time: 0.0471 memory: 3207 2022/08/27 00:28:38 - mmengine - INFO - Epoch(val) [360][310/500] eta: 0:04:03 time: 1.2808 data_time: 0.0689 memory: 3207 2022/08/27 00:28:39 - mmengine - INFO - Epoch(val) [360][315/500] eta: 0:04:03 time: 0.1421 data_time: 0.0384 memory: 3207 2022/08/27 00:28:39 - mmengine - INFO - Epoch(val) [360][320/500] eta: 0:00:18 time: 0.1000 data_time: 0.0080 memory: 3207 2022/08/27 00:28:40 - mmengine - INFO - Epoch(val) [360][325/500] eta: 0:00:18 time: 0.1064 data_time: 0.0038 memory: 3207 2022/08/27 00:28:40 - mmengine - INFO - Epoch(val) [360][330/500] eta: 0:00:16 time: 0.0982 data_time: 0.0038 memory: 3207 2022/08/27 00:28:41 - mmengine - INFO - Epoch(val) [360][335/500] eta: 0:00:16 time: 0.0814 data_time: 0.0027 memory: 3207 2022/08/27 00:28:41 - mmengine - INFO - Epoch(val) [360][340/500] eta: 0:00:14 time: 0.0904 data_time: 0.0027 memory: 3207 2022/08/27 00:28:42 - mmengine - INFO - Epoch(val) [360][345/500] eta: 0:00:14 time: 0.1115 data_time: 0.0216 memory: 3207 2022/08/27 00:28:42 - mmengine - INFO - Epoch(val) [360][350/500] eta: 0:00:16 time: 0.1082 data_time: 0.0216 memory: 3207 2022/08/27 00:28:43 - mmengine - INFO - Epoch(val) [360][355/500] eta: 0:00:16 time: 0.1510 data_time: 0.0026 memory: 3207 2022/08/27 00:28:44 - mmengine - INFO - Epoch(val) [360][360/500] eta: 0:00:21 time: 0.1561 data_time: 0.0027 memory: 3207 2022/08/27 00:28:44 - mmengine - INFO - Epoch(val) [360][365/500] eta: 0:00:21 time: 0.0938 data_time: 0.0027 memory: 3207 2022/08/27 00:28:45 - mmengine - INFO - Epoch(val) [360][370/500] eta: 0:00:12 time: 0.0938 data_time: 0.0145 memory: 3207 2022/08/27 00:28:45 - mmengine - INFO - Epoch(val) [360][375/500] eta: 0:00:12 time: 0.1159 data_time: 0.0145 memory: 3207 2022/08/27 00:28:54 - mmengine - INFO - Epoch(val) [360][380/500] eta: 0:01:45 time: 0.8754 data_time: 0.0027 memory: 3207 2022/08/27 00:28:58 - mmengine - INFO - Epoch(val) [360][385/500] eta: 0:01:45 time: 1.2179 data_time: 0.1852 memory: 3207 2022/08/27 00:28:58 - mmengine - INFO - Epoch(val) [360][390/500] eta: 0:00:50 time: 0.4583 data_time: 0.1867 memory: 3207 2022/08/27 00:28:59 - mmengine - INFO - Epoch(val) [360][395/500] eta: 0:00:50 time: 0.1047 data_time: 0.0153 memory: 3207 2022/08/27 00:28:59 - mmengine - INFO - Epoch(val) [360][400/500] eta: 0:00:09 time: 0.0967 data_time: 0.0138 memory: 3207 2022/08/27 00:28:59 - mmengine - INFO - Epoch(val) [360][405/500] eta: 0:00:09 time: 0.0851 data_time: 0.0027 memory: 3207 2022/08/27 00:29:00 - mmengine - INFO - Epoch(val) [360][410/500] eta: 0:00:07 time: 0.0848 data_time: 0.0026 memory: 3207 2022/08/27 00:29:00 - mmengine - INFO - Epoch(val) [360][415/500] eta: 0:00:07 time: 0.0837 data_time: 0.0024 memory: 3207 2022/08/27 00:29:01 - mmengine - INFO - Epoch(val) [360][420/500] eta: 0:00:06 time: 0.0799 data_time: 0.0025 memory: 3207 2022/08/27 00:29:01 - mmengine - INFO - Epoch(val) [360][425/500] eta: 0:00:06 time: 0.0810 data_time: 0.0026 memory: 3207 2022/08/27 00:29:02 - mmengine - INFO - Epoch(val) [360][430/500] eta: 0:00:07 time: 0.1112 data_time: 0.0302 memory: 3207 2022/08/27 00:29:02 - mmengine - INFO - Epoch(val) [360][435/500] eta: 0:00:07 time: 0.1100 data_time: 0.0302 memory: 3207 2022/08/27 00:29:03 - mmengine - INFO - Epoch(val) [360][440/500] eta: 0:00:08 time: 0.1437 data_time: 0.0026 memory: 3207 2022/08/27 00:29:04 - mmengine - INFO - Epoch(val) [360][445/500] eta: 0:00:08 time: 0.1700 data_time: 0.0026 memory: 3207 2022/08/27 00:29:04 - mmengine - INFO - Epoch(val) [360][450/500] eta: 0:00:05 time: 0.1102 data_time: 0.0026 memory: 3207 2022/08/27 00:29:05 - mmengine - INFO - Epoch(val) [360][455/500] eta: 0:00:05 time: 0.0912 data_time: 0.0084 memory: 3207 2022/08/27 00:29:05 - mmengine - INFO - Epoch(val) [360][460/500] eta: 0:00:03 time: 0.0918 data_time: 0.0131 memory: 3207 2022/08/27 00:29:06 - mmengine - INFO - Epoch(val) [360][465/500] eta: 0:00:03 time: 0.0839 data_time: 0.0071 memory: 3207 2022/08/27 00:29:07 - mmengine - INFO - Epoch(val) [360][470/500] eta: 0:00:05 time: 0.1917 data_time: 0.0033 memory: 3207 2022/08/27 00:29:17 - mmengine - INFO - Epoch(val) [360][475/500] eta: 0:00:05 time: 1.0879 data_time: 0.0909 memory: 3207 2022/08/27 00:29:18 - mmengine - INFO - Epoch(val) [360][480/500] eta: 0:00:20 time: 1.0360 data_time: 0.1174 memory: 3207 2022/08/27 00:29:19 - mmengine - INFO - Epoch(val) [360][485/500] eta: 0:00:20 time: 0.2081 data_time: 0.0650 memory: 3207 2022/08/27 00:29:19 - mmengine - INFO - Epoch(val) [360][490/500] eta: 0:00:01 time: 0.1512 data_time: 0.0375 memory: 3207 2022/08/27 00:29:20 - mmengine - INFO - Epoch(val) [360][495/500] eta: 0:00:01 time: 0.0866 data_time: 0.0024 memory: 3207 2022/08/27 00:29:20 - mmengine - INFO - Epoch(val) [360][500/500] eta: 0:00:00 time: 0.0834 data_time: 0.0024 memory: 3207 2022/08/27 00:29:20 - mmengine - INFO - Evaluating hmean-iou... 2022/08/27 00:29:20 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7848, precision: 0.6355, hmean: 0.7023 2022/08/27 00:29:20 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7848, precision: 0.6355, hmean: 0.7023 2022/08/27 00:29:20 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7848, precision: 0.6355, hmean: 0.7023 2022/08/27 00:29:20 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7848, precision: 0.6694, hmean: 0.7225 2022/08/27 00:29:20 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7848, precision: 0.7190, hmean: 0.7505 2022/08/27 00:29:20 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7814, precision: 0.7648, hmean: 0.7730 2022/08/27 00:29:20 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7612, precision: 0.8286, hmean: 0.7935 2022/08/27 00:29:20 - mmengine - INFO - Epoch(val) [360][500/500] icdar/precision: 0.8286 icdar/recall: 0.7612 icdar/hmean: 0.7935 2022/08/27 00:31:12 - mmengine - INFO - Epoch(train) [361][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 13.3017 data_time: 9.9398 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0592 loss: 0.1818 2022/08/27 00:31:27 - mmengine - INFO - Epoch(train) [361][10/63] lr: 1.0000e-05 eta: 16:23:46 time: 12.6746 data_time: 9.8501 memory: 28971 loss_text: 0.0869 loss_kernel: 0.0432 loss: 0.1301 2022/08/27 00:31:35 - mmengine - INFO - Epoch(train) [361][15/63] lr: 1.0000e-05 eta: 16:23:46 time: 2.3549 data_time: 0.1455 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0590 loss: 0.1859 2022/08/27 00:31:40 - mmengine - INFO - Epoch(train) [361][20/63] lr: 1.0000e-05 eta: 16:22:50 time: 1.3215 data_time: 0.1392 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0595 loss: 0.1878 2022/08/27 00:31:56 - mmengine - INFO - Epoch(train) [361][25/63] lr: 1.0000e-05 eta: 16:22:50 time: 2.0901 data_time: 0.1996 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0583 loss: 0.1794 2022/08/27 00:32:16 - mmengine - INFO - Epoch(train) [361][30/63] lr: 1.0000e-05 eta: 16:22:08 time: 3.5410 data_time: 0.2620 memory: 28971 loss_text: 0.1474 loss_kernel: 0.0695 loss: 0.2169 2022/08/27 00:32:34 - mmengine - INFO - Epoch(train) [361][35/63] lr: 1.0000e-05 eta: 16:22:08 time: 3.7784 data_time: 0.2371 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0631 loss: 0.1979 2022/08/27 00:32:40 - mmengine - INFO - Epoch(train) [361][40/63] lr: 1.0000e-05 eta: 16:21:19 time: 2.4125 data_time: 0.1624 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0645 loss: 0.2016 2022/08/27 00:33:01 - mmengine - INFO - Epoch(train) [361][45/63] lr: 1.0000e-05 eta: 16:21:19 time: 2.7039 data_time: 0.1711 memory: 28971 loss_text: 0.1570 loss_kernel: 0.0727 loss: 0.2297 2022/08/27 00:33:07 - mmengine - INFO - Epoch(train) [361][50/63] lr: 1.0000e-05 eta: 16:20:32 time: 2.6681 data_time: 0.2383 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0597 loss: 0.1864 2022/08/27 00:33:28 - mmengine - INFO - Epoch(train) [361][55/63] lr: 1.0000e-05 eta: 16:20:32 time: 2.6902 data_time: 0.1340 memory: 28971 loss_text: 0.1023 loss_kernel: 0.0501 loss: 0.1524 2022/08/27 00:33:51 - mmengine - INFO - Epoch(train) [361][60/63] lr: 1.0000e-05 eta: 16:19:56 time: 4.3808 data_time: 0.1881 memory: 28971 loss_text: 0.1395 loss_kernel: 0.0647 loss: 0.2041 2022/08/27 00:34:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:36:11 - mmengine - INFO - Epoch(train) [362][5/63] lr: 1.0000e-05 eta: 16:19:56 time: 14.4702 data_time: 10.1908 memory: 28971 loss_text: 0.1486 loss_kernel: 0.0688 loss: 0.2175 2022/08/27 00:36:33 - mmengine - INFO - Epoch(train) [362][10/63] lr: 1.0000e-05 eta: 16:20:04 time: 14.0021 data_time: 10.2298 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0585 loss: 0.1804 2022/08/27 00:36:38 - mmengine - INFO - Epoch(train) [362][15/63] lr: 1.0000e-05 eta: 16:20:04 time: 2.6956 data_time: 0.2546 memory: 28971 loss_text: 0.1072 loss_kernel: 0.0522 loss: 0.1594 2022/08/27 00:36:59 - mmengine - INFO - Epoch(train) [362][20/63] lr: 1.0000e-05 eta: 16:19:17 time: 2.5852 data_time: 0.0744 memory: 28971 loss_text: 0.0978 loss_kernel: 0.0477 loss: 0.1455 2022/08/27 00:37:04 - mmengine - INFO - Epoch(train) [362][25/63] lr: 1.0000e-05 eta: 16:19:17 time: 2.6097 data_time: 0.0651 memory: 28971 loss_text: 0.0918 loss_kernel: 0.0458 loss: 0.1376 2022/08/27 00:37:29 - mmengine - INFO - Epoch(train) [362][30/63] lr: 1.0000e-05 eta: 16:18:32 time: 3.0000 data_time: 0.1201 memory: 28971 loss_text: 0.1118 loss_kernel: 0.0539 loss: 0.1657 2022/08/27 00:37:51 - mmengine - INFO - Epoch(train) [362][35/63] lr: 1.0000e-05 eta: 16:18:32 time: 4.6813 data_time: 0.1428 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0606 loss: 0.1885 2022/08/27 00:37:57 - mmengine - INFO - Epoch(train) [362][40/63] lr: 1.0000e-05 eta: 16:17:45 time: 2.8458 data_time: 0.1919 memory: 28971 loss_text: 0.1546 loss_kernel: 0.0724 loss: 0.2270 2022/08/27 00:38:22 - mmengine - INFO - Epoch(train) [362][45/63] lr: 1.0000e-05 eta: 16:17:45 time: 3.0970 data_time: 0.1786 memory: 28971 loss_text: 0.1842 loss_kernel: 0.0824 loss: 0.2666 2022/08/27 00:38:41 - mmengine - INFO - Epoch(train) [362][50/63] lr: 1.0000e-05 eta: 16:17:10 time: 4.4122 data_time: 0.1588 memory: 28971 loss_text: 0.1760 loss_kernel: 0.0792 loss: 0.2551 2022/08/27 00:39:01 - mmengine - INFO - Epoch(train) [362][55/63] lr: 1.0000e-05 eta: 16:17:10 time: 3.8886 data_time: 0.3052 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0678 loss: 0.2121 2022/08/27 00:39:32 - mmengine - INFO - Epoch(train) [362][60/63] lr: 1.0000e-05 eta: 16:16:38 time: 5.0925 data_time: 0.5008 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0623 loss: 0.1949 2022/08/27 00:39:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:41:16 - mmengine - INFO - Epoch(train) [363][5/63] lr: 1.0000e-05 eta: 16:16:38 time: 11.8064 data_time: 8.9679 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0640 loss: 0.2011 2022/08/27 00:41:20 - mmengine - INFO - Epoch(train) [363][10/63] lr: 1.0000e-05 eta: 16:16:22 time: 10.3086 data_time: 8.7383 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0647 loss: 0.2023 2022/08/27 00:41:31 - mmengine - INFO - Epoch(train) [363][15/63] lr: 1.0000e-05 eta: 16:16:22 time: 1.5375 data_time: 0.0582 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0624 loss: 0.1935 2022/08/27 00:41:36 - mmengine - INFO - Epoch(train) [363][20/63] lr: 1.0000e-05 eta: 16:15:28 time: 1.5612 data_time: 0.0769 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0636 loss: 0.1984 2022/08/27 00:41:47 - mmengine - INFO - Epoch(train) [363][25/63] lr: 1.0000e-05 eta: 16:15:28 time: 1.5944 data_time: 0.0720 memory: 28971 loss_text: 0.1755 loss_kernel: 0.0807 loss: 0.2562 2022/08/27 00:41:52 - mmengine - INFO - Epoch(train) [363][30/63] lr: 1.0000e-05 eta: 16:14:33 time: 1.6033 data_time: 0.0833 memory: 28971 loss_text: 0.1677 loss_kernel: 0.0774 loss: 0.2451 2022/08/27 00:42:02 - mmengine - INFO - Epoch(train) [363][35/63] lr: 1.0000e-05 eta: 16:14:33 time: 1.5343 data_time: 0.0657 memory: 28971 loss_text: 0.1188 loss_kernel: 0.0568 loss: 0.1755 2022/08/27 00:42:10 - mmengine - INFO - Epoch(train) [363][40/63] lr: 1.0000e-05 eta: 16:13:41 time: 1.8382 data_time: 0.0750 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0610 loss: 0.1887 2022/08/27 00:42:15 - mmengine - INFO - Epoch(train) [363][45/63] lr: 1.0000e-05 eta: 16:13:41 time: 1.2466 data_time: 0.1025 memory: 28971 loss_text: 0.1476 loss_kernel: 0.0689 loss: 0.2165 2022/08/27 00:42:26 - mmengine - INFO - Epoch(train) [363][50/63] lr: 1.0000e-05 eta: 16:12:46 time: 1.5541 data_time: 0.0699 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0641 loss: 0.2004 2022/08/27 00:42:30 - mmengine - INFO - Epoch(train) [363][55/63] lr: 1.0000e-05 eta: 16:12:46 time: 1.5371 data_time: 0.0565 memory: 28971 loss_text: 0.1167 loss_kernel: 0.0564 loss: 0.1731 2022/08/27 00:42:42 - mmengine - INFO - Epoch(train) [363][60/63] lr: 1.0000e-05 eta: 16:11:53 time: 1.6539 data_time: 0.0560 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0607 loss: 0.1887 2022/08/27 00:42:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:44:29 - mmengine - INFO - Epoch(train) [364][5/63] lr: 1.0000e-05 eta: 16:11:53 time: 11.0061 data_time: 9.1960 memory: 28971 loss_text: 0.1532 loss_kernel: 0.0692 loss: 0.2224 2022/08/27 00:44:33 - mmengine - INFO - Epoch(train) [364][10/63] lr: 1.0000e-05 eta: 16:11:38 time: 10.6203 data_time: 9.1365 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0672 loss: 0.2134 2022/08/27 00:44:42 - mmengine - INFO - Epoch(train) [364][15/63] lr: 1.0000e-05 eta: 16:11:38 time: 1.3299 data_time: 0.1509 memory: 28971 loss_text: 0.1075 loss_kernel: 0.0530 loss: 0.1605 2022/08/27 00:44:47 - mmengine - INFO - Epoch(train) [364][20/63] lr: 1.0000e-05 eta: 16:10:42 time: 1.3770 data_time: 0.1527 memory: 28971 loss_text: 0.1186 loss_kernel: 0.0568 loss: 0.1754 2022/08/27 00:44:52 - mmengine - INFO - Epoch(train) [364][25/63] lr: 1.0000e-05 eta: 16:10:42 time: 1.0127 data_time: 0.0419 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0602 loss: 0.1899 2022/08/27 00:45:03 - mmengine - INFO - Epoch(train) [364][30/63] lr: 1.0000e-05 eta: 16:09:48 time: 1.6332 data_time: 0.0853 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0629 loss: 0.1967 2022/08/27 00:45:08 - mmengine - INFO - Epoch(train) [364][35/63] lr: 1.0000e-05 eta: 16:09:48 time: 1.5602 data_time: 0.0867 memory: 28971 loss_text: 0.1431 loss_kernel: 0.0680 loss: 0.2111 2022/08/27 00:45:24 - mmengine - INFO - Epoch(train) [364][40/63] lr: 1.0000e-05 eta: 16:08:57 time: 2.0114 data_time: 0.1524 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0675 loss: 0.2082 2022/08/27 00:45:30 - mmengine - INFO - Epoch(train) [364][45/63] lr: 1.0000e-05 eta: 16:08:57 time: 2.2232 data_time: 0.2480 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0546 loss: 0.1680 2022/08/27 00:45:55 - mmengine - INFO - Epoch(train) [364][50/63] lr: 1.0000e-05 eta: 16:08:13 time: 3.0805 data_time: 0.2716 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0666 loss: 0.2111 2022/08/27 00:46:15 - mmengine - INFO - Epoch(train) [364][55/63] lr: 1.0000e-05 eta: 16:08:13 time: 4.4932 data_time: 0.2520 memory: 28971 loss_text: 0.1659 loss_kernel: 0.0762 loss: 0.2421 2022/08/27 00:46:22 - mmengine - INFO - Epoch(train) [364][60/63] lr: 1.0000e-05 eta: 16:07:26 time: 2.7389 data_time: 0.2321 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0554 loss: 0.1718 2022/08/27 00:46:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:48:45 - mmengine - INFO - Epoch(train) [365][5/63] lr: 1.0000e-05 eta: 16:07:26 time: 14.3856 data_time: 10.3237 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0648 loss: 0.2054 2022/08/27 00:49:04 - mmengine - INFO - Epoch(train) [365][10/63] lr: 1.0000e-05 eta: 16:07:34 time: 14.1113 data_time: 10.3515 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0546 loss: 0.1688 2022/08/27 00:49:11 - mmengine - INFO - Epoch(train) [365][15/63] lr: 1.0000e-05 eta: 16:07:34 time: 2.6315 data_time: 0.1461 memory: 28971 loss_text: 0.1029 loss_kernel: 0.0495 loss: 0.1525 2022/08/27 00:49:32 - mmengine - INFO - Epoch(train) [365][20/63] lr: 1.0000e-05 eta: 16:06:48 time: 2.8387 data_time: 0.2175 memory: 28971 loss_text: 0.1125 loss_kernel: 0.0540 loss: 0.1665 2022/08/27 00:49:38 - mmengine - INFO - Epoch(train) [365][25/63] lr: 1.0000e-05 eta: 16:06:48 time: 2.7328 data_time: 0.3158 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0652 loss: 0.2017 2022/08/27 00:49:59 - mmengine - INFO - Epoch(train) [365][30/63] lr: 1.0000e-05 eta: 16:06:01 time: 2.6786 data_time: 0.2515 memory: 28971 loss_text: 0.1394 loss_kernel: 0.0656 loss: 0.2050 2022/08/27 00:50:23 - mmengine - INFO - Epoch(train) [365][35/63] lr: 1.0000e-05 eta: 16:06:01 time: 4.4372 data_time: 0.2749 memory: 28971 loss_text: 0.1507 loss_kernel: 0.0709 loss: 0.2217 2022/08/27 00:50:30 - mmengine - INFO - Epoch(train) [365][40/63] lr: 1.0000e-05 eta: 16:05:17 time: 3.1106 data_time: 0.2888 memory: 28971 loss_text: 0.1781 loss_kernel: 0.0817 loss: 0.2598 2022/08/27 00:50:58 - mmengine - INFO - Epoch(train) [365][45/63] lr: 1.0000e-05 eta: 16:05:17 time: 3.5854 data_time: 0.3027 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0745 loss: 0.2373 2022/08/27 00:51:26 - mmengine - INFO - Epoch(train) [365][50/63] lr: 1.0000e-05 eta: 16:04:48 time: 5.5756 data_time: 0.2593 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0634 loss: 0.1978 2022/08/27 00:51:52 - mmengine - INFO - Epoch(train) [365][55/63] lr: 1.0000e-05 eta: 16:04:48 time: 5.2694 data_time: 0.1706 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0561 loss: 0.1738 2022/08/27 00:51:58 - mmengine - INFO - Epoch(train) [365][60/63] lr: 1.0000e-05 eta: 16:04:05 time: 3.2733 data_time: 0.2302 memory: 28971 loss_text: 0.1140 loss_kernel: 0.0545 loss: 0.1685 2022/08/27 00:52:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:54:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:54:10 - mmengine - INFO - Epoch(train) [366][5/63] lr: 1.0000e-05 eta: 16:04:05 time: 13.2822 data_time: 9.5743 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0614 loss: 0.1913 2022/08/27 00:54:35 - mmengine - INFO - Epoch(train) [366][10/63] lr: 1.0000e-05 eta: 16:04:09 time: 13.6265 data_time: 9.7889 memory: 28971 loss_text: 0.0979 loss_kernel: 0.0478 loss: 0.1457 2022/08/27 00:54:40 - mmengine - INFO - Epoch(train) [366][15/63] lr: 1.0000e-05 eta: 16:04:09 time: 3.1363 data_time: 0.3827 memory: 28971 loss_text: 0.1009 loss_kernel: 0.0485 loss: 0.1493 2022/08/27 00:54:59 - mmengine - INFO - Epoch(train) [366][20/63] lr: 1.0000e-05 eta: 16:03:21 time: 2.3897 data_time: 0.1495 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0593 loss: 0.1861 2022/08/27 00:55:05 - mmengine - INFO - Epoch(train) [366][25/63] lr: 1.0000e-05 eta: 16:03:21 time: 2.5148 data_time: 0.2360 memory: 28971 loss_text: 0.1210 loss_kernel: 0.0573 loss: 0.1784 2022/08/27 00:55:23 - mmengine - INFO - Epoch(train) [366][30/63] lr: 1.0000e-05 eta: 16:02:32 time: 2.4070 data_time: 0.2891 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0602 loss: 0.1876 2022/08/27 00:55:42 - mmengine - INFO - Epoch(train) [366][35/63] lr: 1.0000e-05 eta: 16:02:32 time: 3.7528 data_time: 0.2904 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0679 loss: 0.2124 2022/08/27 00:56:03 - mmengine - INFO - Epoch(train) [366][40/63] lr: 1.0000e-05 eta: 16:01:53 time: 4.0141 data_time: 0.2293 memory: 28971 loss_text: 0.1483 loss_kernel: 0.0689 loss: 0.2172 2022/08/27 00:56:08 - mmengine - INFO - Epoch(train) [366][45/63] lr: 1.0000e-05 eta: 16:01:53 time: 2.5541 data_time: 0.1396 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0726 loss: 0.2295 2022/08/27 00:56:28 - mmengine - INFO - Epoch(train) [366][50/63] lr: 1.0000e-05 eta: 16:01:06 time: 2.5336 data_time: 0.1081 memory: 28971 loss_text: 0.1561 loss_kernel: 0.0714 loss: 0.2274 2022/08/27 00:56:43 - mmengine - INFO - Epoch(train) [366][55/63] lr: 1.0000e-05 eta: 16:01:06 time: 3.4975 data_time: 0.1008 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0634 loss: 0.2013 2022/08/27 00:56:56 - mmengine - INFO - Epoch(train) [366][60/63] lr: 1.0000e-05 eta: 16:00:20 time: 2.8144 data_time: 0.1126 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0686 loss: 0.2141 2022/08/27 00:57:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 00:58:57 - mmengine - INFO - Epoch(train) [367][5/63] lr: 1.0000e-05 eta: 16:00:20 time: 12.2052 data_time: 9.8073 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0662 loss: 0.2095 2022/08/27 00:59:02 - mmengine - INFO - Epoch(train) [367][10/63] lr: 1.0000e-05 eta: 16:00:12 time: 11.9172 data_time: 9.8686 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0700 loss: 0.2188 2022/08/27 00:59:19 - mmengine - INFO - Epoch(train) [367][15/63] lr: 1.0000e-05 eta: 16:00:12 time: 2.1605 data_time: 0.1114 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0633 loss: 0.1971 2022/08/27 00:59:37 - mmengine - INFO - Epoch(train) [367][20/63] lr: 1.0000e-05 eta: 15:59:30 time: 3.3824 data_time: 0.1668 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0557 loss: 0.1749 2022/08/27 00:59:44 - mmengine - INFO - Epoch(train) [367][25/63] lr: 1.0000e-05 eta: 15:59:30 time: 2.5882 data_time: 0.3554 memory: 28971 loss_text: 0.1318 loss_kernel: 0.0603 loss: 0.1921 2022/08/27 01:00:04 - mmengine - INFO - Epoch(train) [367][30/63] lr: 1.0000e-05 eta: 15:58:44 time: 2.8091 data_time: 0.2549 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0686 loss: 0.2184 2022/08/27 01:00:10 - mmengine - INFO - Epoch(train) [367][35/63] lr: 1.0000e-05 eta: 15:58:44 time: 2.5406 data_time: 0.1345 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0625 loss: 0.1951 2022/08/27 01:00:28 - mmengine - INFO - Epoch(train) [367][40/63] lr: 1.0000e-05 eta: 15:57:55 time: 2.3796 data_time: 0.2743 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0647 loss: 0.2027 2022/08/27 01:00:33 - mmengine - INFO - Epoch(train) [367][45/63] lr: 1.0000e-05 eta: 15:57:55 time: 2.3687 data_time: 0.2670 memory: 28971 loss_text: 0.1518 loss_kernel: 0.0702 loss: 0.2220 2022/08/27 01:00:53 - mmengine - INFO - Epoch(train) [367][50/63] lr: 1.0000e-05 eta: 15:57:07 time: 2.4952 data_time: 0.1023 memory: 28971 loss_text: 0.1688 loss_kernel: 0.0779 loss: 0.2467 2022/08/27 01:01:03 - mmengine - INFO - Epoch(train) [367][55/63] lr: 1.0000e-05 eta: 15:57:07 time: 2.9903 data_time: 0.1515 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0655 loss: 0.2066 2022/08/27 01:01:29 - mmengine - INFO - Epoch(train) [367][60/63] lr: 1.0000e-05 eta: 15:56:25 time: 3.5301 data_time: 0.2161 memory: 28971 loss_text: 0.1125 loss_kernel: 0.0535 loss: 0.1660 2022/08/27 01:01:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:03:29 - mmengine - INFO - Epoch(train) [368][5/63] lr: 1.0000e-05 eta: 15:56:25 time: 14.1194 data_time: 9.5072 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0680 loss: 0.2147 2022/08/27 01:03:54 - mmengine - INFO - Epoch(train) [368][10/63] lr: 1.0000e-05 eta: 15:56:30 time: 13.8824 data_time: 9.6202 memory: 28971 loss_text: 0.1427 loss_kernel: 0.0662 loss: 0.2089 2022/08/27 01:04:00 - mmengine - INFO - Epoch(train) [368][15/63] lr: 1.0000e-05 eta: 15:56:30 time: 3.0487 data_time: 0.2541 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0628 loss: 0.1964 2022/08/27 01:04:23 - mmengine - INFO - Epoch(train) [368][20/63] lr: 1.0000e-05 eta: 15:55:45 time: 2.8961 data_time: 0.0820 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0590 loss: 0.1852 2022/08/27 01:04:44 - mmengine - INFO - Epoch(train) [368][25/63] lr: 1.0000e-05 eta: 15:55:45 time: 4.4434 data_time: 0.0936 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0573 loss: 0.1789 2022/08/27 01:04:49 - mmengine - INFO - Epoch(train) [368][30/63] lr: 1.0000e-05 eta: 15:54:58 time: 2.6348 data_time: 0.0832 memory: 28971 loss_text: 0.1241 loss_kernel: 0.0584 loss: 0.1826 2022/08/27 01:05:07 - mmengine - INFO - Epoch(train) [368][35/63] lr: 1.0000e-05 eta: 15:54:58 time: 2.2047 data_time: 0.0853 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0616 loss: 0.1937 2022/08/27 01:05:13 - mmengine - INFO - Epoch(train) [368][40/63] lr: 1.0000e-05 eta: 15:54:09 time: 2.4417 data_time: 0.2328 memory: 28971 loss_text: 0.1251 loss_kernel: 0.0595 loss: 0.1847 2022/08/27 01:05:18 - mmengine - INFO - Epoch(train) [368][45/63] lr: 1.0000e-05 eta: 15:54:09 time: 1.1789 data_time: 0.2286 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0634 loss: 0.1995 2022/08/27 01:05:38 - mmengine - INFO - Epoch(train) [368][50/63] lr: 1.0000e-05 eta: 15:53:21 time: 2.4198 data_time: 0.1275 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0585 loss: 0.1857 2022/08/27 01:05:53 - mmengine - INFO - Epoch(train) [368][55/63] lr: 1.0000e-05 eta: 15:53:21 time: 3.4474 data_time: 0.1570 memory: 28971 loss_text: 0.1241 loss_kernel: 0.0582 loss: 0.1823 2022/08/27 01:06:03 - mmengine - INFO - Epoch(train) [368][60/63] lr: 1.0000e-05 eta: 15:52:33 time: 2.5498 data_time: 0.2719 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0642 loss: 0.2021 2022/08/27 01:06:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:08:08 - mmengine - INFO - Epoch(train) [369][5/63] lr: 1.0000e-05 eta: 15:52:33 time: 12.4664 data_time: 9.6238 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0591 loss: 0.1817 2022/08/27 01:08:26 - mmengine - INFO - Epoch(train) [369][10/63] lr: 1.0000e-05 eta: 15:52:32 time: 12.9392 data_time: 9.7350 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0581 loss: 0.1799 2022/08/27 01:08:31 - mmengine - INFO - Epoch(train) [369][15/63] lr: 1.0000e-05 eta: 15:52:32 time: 2.3228 data_time: 0.1910 memory: 28971 loss_text: 0.1254 loss_kernel: 0.0595 loss: 0.1849 2022/08/27 01:08:50 - mmengine - INFO - Epoch(train) [369][20/63] lr: 1.0000e-05 eta: 15:51:43 time: 2.4327 data_time: 0.1598 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0597 loss: 0.1861 2022/08/27 01:09:08 - mmengine - INFO - Epoch(train) [369][25/63] lr: 1.0000e-05 eta: 15:51:43 time: 3.7391 data_time: 0.1813 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0577 loss: 0.1785 2022/08/27 01:09:17 - mmengine - INFO - Epoch(train) [369][30/63] lr: 1.0000e-05 eta: 15:50:56 time: 2.6648 data_time: 0.1860 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0576 loss: 0.1790 2022/08/27 01:09:34 - mmengine - INFO - Epoch(train) [369][35/63] lr: 1.0000e-05 eta: 15:50:56 time: 2.6128 data_time: 0.2058 memory: 28971 loss_text: 0.1469 loss_kernel: 0.0675 loss: 0.2143 2022/08/27 01:09:53 - mmengine - INFO - Epoch(train) [369][40/63] lr: 1.0000e-05 eta: 15:50:15 time: 3.6469 data_time: 0.1956 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0674 loss: 0.2138 2022/08/27 01:10:00 - mmengine - INFO - Epoch(train) [369][45/63] lr: 1.0000e-05 eta: 15:50:15 time: 2.5970 data_time: 0.3044 memory: 28971 loss_text: 0.1119 loss_kernel: 0.0536 loss: 0.1655 2022/08/27 01:10:20 - mmengine - INFO - Epoch(train) [369][50/63] lr: 1.0000e-05 eta: 15:49:29 time: 2.6714 data_time: 0.2515 memory: 28971 loss_text: 0.1063 loss_kernel: 0.0511 loss: 0.1574 2022/08/27 01:10:26 - mmengine - INFO - Epoch(train) [369][55/63] lr: 1.0000e-05 eta: 15:49:29 time: 2.5864 data_time: 0.1365 memory: 28971 loss_text: 0.1139 loss_kernel: 0.0534 loss: 0.1672 2022/08/27 01:10:45 - mmengine - INFO - Epoch(train) [369][60/63] lr: 1.0000e-05 eta: 15:48:41 time: 2.4931 data_time: 0.2805 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0622 loss: 0.1970 2022/08/27 01:10:48 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:12:44 - mmengine - INFO - Epoch(train) [370][5/63] lr: 1.0000e-05 eta: 15:48:41 time: 12.2307 data_time: 9.7651 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0671 loss: 0.2092 2022/08/27 01:13:07 - mmengine - INFO - Epoch(train) [370][10/63] lr: 1.0000e-05 eta: 15:48:44 time: 13.8160 data_time: 9.6550 memory: 28971 loss_text: 0.0980 loss_kernel: 0.0477 loss: 0.1458 2022/08/27 01:13:13 - mmengine - INFO - Epoch(train) [370][15/63] lr: 1.0000e-05 eta: 15:48:44 time: 2.8634 data_time: 0.2384 memory: 28971 loss_text: 0.1023 loss_kernel: 0.0495 loss: 0.1518 2022/08/27 01:13:32 - mmengine - INFO - Epoch(train) [370][20/63] lr: 1.0000e-05 eta: 15:47:56 time: 2.5090 data_time: 0.1795 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0649 loss: 0.2032 2022/08/27 01:13:53 - mmengine - INFO - Epoch(train) [370][25/63] lr: 1.0000e-05 eta: 15:47:56 time: 4.0124 data_time: 0.3130 memory: 28971 loss_text: 0.1720 loss_kernel: 0.0788 loss: 0.2508 2022/08/27 01:13:58 - mmengine - INFO - Epoch(train) [370][30/63] lr: 1.0000e-05 eta: 15:47:09 time: 2.6065 data_time: 0.3527 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0722 loss: 0.2286 2022/08/27 01:14:20 - mmengine - INFO - Epoch(train) [370][35/63] lr: 1.0000e-05 eta: 15:47:09 time: 2.7092 data_time: 0.1052 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0565 loss: 0.1760 2022/08/27 01:14:25 - mmengine - INFO - Epoch(train) [370][40/63] lr: 1.0000e-05 eta: 15:46:23 time: 2.7095 data_time: 0.0874 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0582 loss: 0.1844 2022/08/27 01:14:49 - mmengine - INFO - Epoch(train) [370][45/63] lr: 1.0000e-05 eta: 15:46:23 time: 2.8761 data_time: 0.2623 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0650 loss: 0.2079 2022/08/27 01:15:14 - mmengine - INFO - Epoch(train) [370][50/63] lr: 1.0000e-05 eta: 15:45:49 time: 4.8373 data_time: 0.3813 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0652 loss: 0.2059 2022/08/27 01:15:28 - mmengine - INFO - Epoch(train) [370][55/63] lr: 1.0000e-05 eta: 15:45:49 time: 3.9074 data_time: 0.2844 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0653 loss: 0.2055 2022/08/27 01:15:36 - mmengine - INFO - Epoch(train) [370][60/63] lr: 1.0000e-05 eta: 15:45:00 time: 2.2953 data_time: 0.2471 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0667 loss: 0.2102 2022/08/27 01:15:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:17:51 - mmengine - INFO - Epoch(train) [371][5/63] lr: 1.0000e-05 eta: 15:45:00 time: 13.6370 data_time: 9.5053 memory: 28971 loss_text: 0.1665 loss_kernel: 0.0746 loss: 0.2411 2022/08/27 01:18:08 - mmengine - INFO - Epoch(train) [371][10/63] lr: 1.0000e-05 eta: 15:44:58 time: 12.9253 data_time: 9.5688 memory: 28971 loss_text: 0.1539 loss_kernel: 0.0718 loss: 0.2257 2022/08/27 01:18:13 - mmengine - INFO - Epoch(train) [371][15/63] lr: 1.0000e-05 eta: 15:44:58 time: 2.2118 data_time: 0.2033 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0650 loss: 0.2019 2022/08/27 01:18:33 - mmengine - INFO - Epoch(train) [371][20/63] lr: 1.0000e-05 eta: 15:44:10 time: 2.4877 data_time: 0.2204 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0643 loss: 0.2028 2022/08/27 01:18:48 - mmengine - INFO - Epoch(train) [371][25/63] lr: 1.0000e-05 eta: 15:44:10 time: 3.3910 data_time: 0.2195 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0675 loss: 0.2143 2022/08/27 01:18:57 - mmengine - INFO - Epoch(train) [371][30/63] lr: 1.0000e-05 eta: 15:43:21 time: 2.3991 data_time: 0.3009 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0616 loss: 0.1925 2022/08/27 01:19:16 - mmengine - INFO - Epoch(train) [371][35/63] lr: 1.0000e-05 eta: 15:43:21 time: 2.8103 data_time: 0.3821 memory: 28971 loss_text: 0.1210 loss_kernel: 0.0564 loss: 0.1774 2022/08/27 01:19:38 - mmengine - INFO - Epoch(train) [371][40/63] lr: 1.0000e-05 eta: 15:42:43 time: 4.1379 data_time: 0.3408 memory: 28971 loss_text: 0.1217 loss_kernel: 0.0548 loss: 0.1765 2022/08/27 01:19:43 - mmengine - INFO - Epoch(train) [371][45/63] lr: 1.0000e-05 eta: 15:42:43 time: 2.7442 data_time: 0.1938 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0582 loss: 0.1858 2022/08/27 01:20:01 - mmengine - INFO - Epoch(train) [371][50/63] lr: 1.0000e-05 eta: 15:41:54 time: 2.3065 data_time: 0.1456 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0644 loss: 0.2032 2022/08/27 01:20:24 - mmengine - INFO - Epoch(train) [371][55/63] lr: 1.0000e-05 eta: 15:41:54 time: 4.0700 data_time: 0.1793 memory: 28971 loss_text: 0.1333 loss_kernel: 0.0630 loss: 0.1963 2022/08/27 01:20:29 - mmengine - INFO - Epoch(train) [371][60/63] lr: 1.0000e-05 eta: 15:41:08 time: 2.7559 data_time: 0.1245 memory: 28971 loss_text: 0.1255 loss_kernel: 0.0600 loss: 0.1854 2022/08/27 01:20:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:22:51 - mmengine - INFO - Epoch(train) [372][5/63] lr: 1.0000e-05 eta: 15:41:08 time: 14.3437 data_time: 9.8946 memory: 28971 loss_text: 0.1089 loss_kernel: 0.0527 loss: 0.1616 2022/08/27 01:23:14 - mmengine - INFO - Epoch(train) [372][10/63] lr: 1.0000e-05 eta: 15:41:14 time: 14.2452 data_time: 9.7596 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0564 loss: 0.1775 2022/08/27 01:23:19 - mmengine - INFO - Epoch(train) [372][15/63] lr: 1.0000e-05 eta: 15:41:14 time: 2.8314 data_time: 0.1999 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0582 loss: 0.1852 2022/08/27 01:23:45 - mmengine - INFO - Epoch(train) [372][20/63] lr: 1.0000e-05 eta: 15:40:30 time: 3.1308 data_time: 0.2194 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0542 loss: 0.1697 2022/08/27 01:24:14 - mmengine - INFO - Epoch(train) [372][25/63] lr: 1.0000e-05 eta: 15:40:30 time: 5.4343 data_time: 0.3491 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0582 loss: 0.1810 2022/08/27 01:24:33 - mmengine - INFO - Epoch(train) [372][30/63] lr: 1.0000e-05 eta: 15:39:56 time: 4.7580 data_time: 0.2623 memory: 28971 loss_text: 0.1499 loss_kernel: 0.0695 loss: 0.2194 2022/08/27 01:24:46 - mmengine - INFO - Epoch(train) [372][35/63] lr: 1.0000e-05 eta: 15:39:56 time: 3.2932 data_time: 0.1930 memory: 28971 loss_text: 0.1763 loss_kernel: 0.0820 loss: 0.2584 2022/08/27 01:25:09 - mmengine - INFO - Epoch(train) [372][40/63] lr: 1.0000e-05 eta: 15:39:14 time: 3.5282 data_time: 0.1646 memory: 28971 loss_text: 0.1544 loss_kernel: 0.0729 loss: 0.2273 2022/08/27 01:25:23 - mmengine - INFO - Epoch(train) [372][45/63] lr: 1.0000e-05 eta: 15:39:14 time: 3.6292 data_time: 0.2403 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0628 loss: 0.1968 2022/08/27 01:25:51 - mmengine - INFO - Epoch(train) [372][50/63] lr: 1.0000e-05 eta: 15:38:37 time: 4.3006 data_time: 0.4094 memory: 28971 loss_text: 0.1288 loss_kernel: 0.0609 loss: 0.1897 2022/08/27 01:25:56 - mmengine - INFO - Epoch(train) [372][55/63] lr: 1.0000e-05 eta: 15:38:37 time: 3.3099 data_time: 0.2221 memory: 28971 loss_text: 0.1282 loss_kernel: 0.0606 loss: 0.1888 2022/08/27 01:26:26 - mmengine - INFO - Epoch(train) [372][60/63] lr: 1.0000e-05 eta: 15:37:55 time: 3.4222 data_time: 0.0646 memory: 28971 loss_text: 0.1518 loss_kernel: 0.0700 loss: 0.2218 2022/08/27 01:26:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:28:37 - mmengine - INFO - Epoch(train) [373][5/63] lr: 1.0000e-05 eta: 15:37:55 time: 13.7686 data_time: 10.5544 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0630 loss: 0.1993 2022/08/27 01:28:59 - mmengine - INFO - Epoch(train) [373][10/63] lr: 1.0000e-05 eta: 15:38:03 time: 14.7583 data_time: 10.6122 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0654 loss: 0.2095 2022/08/27 01:29:04 - mmengine - INFO - Epoch(train) [373][15/63] lr: 1.0000e-05 eta: 15:38:03 time: 2.7357 data_time: 0.2147 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0723 loss: 0.2310 2022/08/27 01:29:23 - mmengine - INFO - Epoch(train) [373][20/63] lr: 1.0000e-05 eta: 15:37:15 time: 2.4210 data_time: 0.1690 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0667 loss: 0.2099 2022/08/27 01:29:29 - mmengine - INFO - Epoch(train) [373][25/63] lr: 1.0000e-05 eta: 15:37:15 time: 2.4649 data_time: 0.1578 memory: 28971 loss_text: 0.1234 loss_kernel: 0.0596 loss: 0.1830 2022/08/27 01:29:51 - mmengine - INFO - Epoch(train) [373][30/63] lr: 1.0000e-05 eta: 15:36:29 time: 2.8235 data_time: 0.1213 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0593 loss: 0.1822 2022/08/27 01:29:56 - mmengine - INFO - Epoch(train) [373][35/63] lr: 1.0000e-05 eta: 15:36:29 time: 2.7464 data_time: 0.1622 memory: 28971 loss_text: 0.1213 loss_kernel: 0.0575 loss: 0.1788 2022/08/27 01:30:16 - mmengine - INFO - Epoch(train) [373][40/63] lr: 1.0000e-05 eta: 15:35:41 time: 2.5240 data_time: 0.1760 memory: 28971 loss_text: 0.1179 loss_kernel: 0.0562 loss: 0.1741 2022/08/27 01:30:22 - mmengine - INFO - Epoch(train) [373][45/63] lr: 1.0000e-05 eta: 15:35:41 time: 2.5583 data_time: 0.1187 memory: 28971 loss_text: 0.1022 loss_kernel: 0.0495 loss: 0.1517 2022/08/27 01:30:43 - mmengine - INFO - Epoch(train) [373][50/63] lr: 1.0000e-05 eta: 15:34:54 time: 2.6324 data_time: 0.2166 memory: 28971 loss_text: 0.0966 loss_kernel: 0.0475 loss: 0.1440 2022/08/27 01:31:05 - mmengine - INFO - Epoch(train) [373][55/63] lr: 1.0000e-05 eta: 15:34:54 time: 4.2900 data_time: 0.1895 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0601 loss: 0.1884 2022/08/27 01:31:19 - mmengine - INFO - Epoch(train) [373][60/63] lr: 1.0000e-05 eta: 15:34:13 time: 3.5401 data_time: 0.2414 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0611 loss: 0.1916 2022/08/27 01:31:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:33:34 - mmengine - INFO - Epoch(train) [374][5/63] lr: 1.0000e-05 eta: 15:34:13 time: 14.3182 data_time: 10.4326 memory: 28971 loss_text: 0.1103 loss_kernel: 0.0534 loss: 0.1637 2022/08/27 01:33:48 - mmengine - INFO - Epoch(train) [374][10/63] lr: 1.0000e-05 eta: 15:34:12 time: 13.4218 data_time: 10.3073 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0616 loss: 0.1933 2022/08/27 01:33:58 - mmengine - INFO - Epoch(train) [374][15/63] lr: 1.0000e-05 eta: 15:34:12 time: 2.4547 data_time: 0.1654 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0635 loss: 0.1962 2022/08/27 01:34:24 - mmengine - INFO - Epoch(train) [374][20/63] lr: 1.0000e-05 eta: 15:33:31 time: 3.5808 data_time: 0.1584 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0569 loss: 0.1725 2022/08/27 01:34:30 - mmengine - INFO - Epoch(train) [374][25/63] lr: 1.0000e-05 eta: 15:33:31 time: 3.1544 data_time: 0.1497 memory: 28971 loss_text: 0.1252 loss_kernel: 0.0592 loss: 0.1845 2022/08/27 01:34:52 - mmengine - INFO - Epoch(train) [374][30/63] lr: 1.0000e-05 eta: 15:32:45 time: 2.8126 data_time: 0.1753 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0675 loss: 0.2120 2022/08/27 01:34:57 - mmengine - INFO - Epoch(train) [374][35/63] lr: 1.0000e-05 eta: 15:32:45 time: 2.7631 data_time: 0.1750 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0682 loss: 0.2102 2022/08/27 01:35:22 - mmengine - INFO - Epoch(train) [374][40/63] lr: 1.0000e-05 eta: 15:32:00 time: 2.9681 data_time: 0.1682 memory: 28971 loss_text: 0.1085 loss_kernel: 0.0537 loss: 0.1623 2022/08/27 01:35:27 - mmengine - INFO - Epoch(train) [374][45/63] lr: 1.0000e-05 eta: 15:32:00 time: 2.9281 data_time: 0.1210 memory: 28971 loss_text: 0.0937 loss_kernel: 0.0457 loss: 0.1394 2022/08/27 01:35:55 - mmengine - INFO - Epoch(train) [374][50/63] lr: 1.0000e-05 eta: 15:31:17 time: 3.2688 data_time: 0.1061 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0595 loss: 0.1887 2022/08/27 01:36:21 - mmengine - INFO - Epoch(train) [374][55/63] lr: 1.0000e-05 eta: 15:31:17 time: 5.3555 data_time: 0.3683 memory: 28971 loss_text: 0.1271 loss_kernel: 0.0588 loss: 0.1859 2022/08/27 01:36:26 - mmengine - INFO - Epoch(train) [374][60/63] lr: 1.0000e-05 eta: 15:30:33 time: 3.1159 data_time: 0.4162 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0548 loss: 0.1703 2022/08/27 01:36:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:38:49 - mmengine - INFO - Epoch(train) [375][5/63] lr: 1.0000e-05 eta: 15:30:33 time: 14.4107 data_time: 10.6920 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0575 loss: 0.1784 2022/08/27 01:39:14 - mmengine - INFO - Epoch(train) [375][10/63] lr: 1.0000e-05 eta: 15:30:45 time: 15.4674 data_time: 10.8017 memory: 28971 loss_text: 0.1271 loss_kernel: 0.0585 loss: 0.1856 2022/08/27 01:39:19 - mmengine - INFO - Epoch(train) [375][15/63] lr: 1.0000e-05 eta: 15:30:45 time: 2.9693 data_time: 0.2249 memory: 28971 loss_text: 0.1210 loss_kernel: 0.0556 loss: 0.1767 2022/08/27 01:39:43 - mmengine - INFO - Epoch(train) [375][20/63] lr: 1.0000e-05 eta: 15:29:59 time: 2.8951 data_time: 0.1999 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0656 loss: 0.2068 2022/08/27 01:40:09 - mmengine - INFO - Epoch(train) [375][25/63] lr: 1.0000e-05 eta: 15:29:59 time: 5.0163 data_time: 0.2209 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0644 loss: 0.2016 2022/08/27 01:40:35 - mmengine - INFO - Epoch(train) [375][30/63] lr: 1.0000e-05 eta: 15:29:27 time: 5.1633 data_time: 0.1868 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0642 loss: 0.2022 2022/08/27 01:40:41 - mmengine - INFO - Epoch(train) [375][35/63] lr: 1.0000e-05 eta: 15:29:27 time: 3.1857 data_time: 0.2256 memory: 28971 loss_text: 0.1518 loss_kernel: 0.0702 loss: 0.2220 2022/08/27 01:41:09 - mmengine - INFO - Epoch(train) [375][40/63] lr: 1.0000e-05 eta: 15:28:46 time: 3.4962 data_time: 0.1699 memory: 28971 loss_text: 0.1523 loss_kernel: 0.0714 loss: 0.2238 2022/08/27 01:41:16 - mmengine - INFO - Epoch(train) [375][45/63] lr: 1.0000e-05 eta: 15:28:46 time: 3.4527 data_time: 0.1532 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0685 loss: 0.2128 2022/08/27 01:41:48 - mmengine - INFO - Epoch(train) [375][50/63] lr: 1.0000e-05 eta: 15:28:06 time: 3.8728 data_time: 0.3208 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0641 loss: 0.1998 2022/08/27 01:42:15 - mmengine - INFO - Epoch(train) [375][55/63] lr: 1.0000e-05 eta: 15:28:06 time: 5.9660 data_time: 0.3001 memory: 28971 loss_text: 0.1078 loss_kernel: 0.0513 loss: 0.1591 2022/08/27 01:42:37 - mmengine - INFO - Epoch(train) [375][60/63] lr: 1.0000e-05 eta: 15:27:33 time: 4.8908 data_time: 0.3429 memory: 28971 loss_text: 0.1073 loss_kernel: 0.0513 loss: 0.1586 2022/08/27 01:42:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:44:44 - mmengine - INFO - Epoch(train) [376][5/63] lr: 1.0000e-05 eta: 15:27:33 time: 13.6473 data_time: 10.4833 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0607 loss: 0.1873 2022/08/27 01:45:05 - mmengine - INFO - Epoch(train) [376][10/63] lr: 1.0000e-05 eta: 15:27:36 time: 14.2719 data_time: 10.3005 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0648 loss: 0.2018 2022/08/27 01:45:10 - mmengine - INFO - Epoch(train) [376][15/63] lr: 1.0000e-05 eta: 15:27:36 time: 2.6381 data_time: 0.1420 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0645 loss: 0.2011 2022/08/27 01:45:28 - mmengine - INFO - Epoch(train) [376][20/63] lr: 1.0000e-05 eta: 15:26:47 time: 2.2767 data_time: 0.1374 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0602 loss: 0.1874 2022/08/27 01:45:33 - mmengine - INFO - Epoch(train) [376][25/63] lr: 1.0000e-05 eta: 15:26:47 time: 2.3370 data_time: 0.1247 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0610 loss: 0.1905 2022/08/27 01:45:58 - mmengine - INFO - Epoch(train) [376][30/63] lr: 1.0000e-05 eta: 15:26:03 time: 3.0389 data_time: 0.2420 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0594 loss: 0.1859 2022/08/27 01:46:02 - mmengine - INFO - Epoch(train) [376][35/63] lr: 1.0000e-05 eta: 15:26:03 time: 2.9092 data_time: 0.1598 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0556 loss: 0.1738 2022/08/27 01:46:22 - mmengine - INFO - Epoch(train) [376][40/63] lr: 1.0000e-05 eta: 15:25:14 time: 2.3780 data_time: 0.0632 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0678 loss: 0.2136 2022/08/27 01:46:27 - mmengine - INFO - Epoch(train) [376][45/63] lr: 1.0000e-05 eta: 15:25:14 time: 2.4014 data_time: 0.0887 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0735 loss: 0.2346 2022/08/27 01:46:52 - mmengine - INFO - Epoch(train) [376][50/63] lr: 1.0000e-05 eta: 15:24:29 time: 3.0171 data_time: 0.1855 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0690 loss: 0.2181 2022/08/27 01:46:57 - mmengine - INFO - Epoch(train) [376][55/63] lr: 1.0000e-05 eta: 15:24:29 time: 3.0161 data_time: 0.2048 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0609 loss: 0.1891 2022/08/27 01:47:19 - mmengine - INFO - Epoch(train) [376][60/63] lr: 1.0000e-05 eta: 15:23:43 time: 2.6760 data_time: 0.1040 memory: 28971 loss_text: 0.1316 loss_kernel: 0.0620 loss: 0.1936 2022/08/27 01:47:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:49:21 - mmengine - INFO - Epoch(train) [377][5/63] lr: 1.0000e-05 eta: 15:23:43 time: 12.6008 data_time: 9.8884 memory: 28971 loss_text: 0.1531 loss_kernel: 0.0708 loss: 0.2239 2022/08/27 01:49:43 - mmengine - INFO - Epoch(train) [377][10/63] lr: 1.0000e-05 eta: 15:23:43 time: 13.7869 data_time: 9.9715 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0652 loss: 0.2051 2022/08/27 01:49:48 - mmengine - INFO - Epoch(train) [377][15/63] lr: 1.0000e-05 eta: 15:23:43 time: 2.8384 data_time: 0.3662 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0546 loss: 0.1688 2022/08/27 01:50:10 - mmengine - INFO - Epoch(train) [377][20/63] lr: 1.0000e-05 eta: 15:22:57 time: 2.8120 data_time: 0.3705 memory: 28971 loss_text: 0.1121 loss_kernel: 0.0537 loss: 0.1658 2022/08/27 01:50:15 - mmengine - INFO - Epoch(train) [377][25/63] lr: 1.0000e-05 eta: 15:22:57 time: 2.6421 data_time: 0.2108 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0635 loss: 0.2000 2022/08/27 01:50:35 - mmengine - INFO - Epoch(train) [377][30/63] lr: 1.0000e-05 eta: 15:22:10 time: 2.5616 data_time: 0.1760 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0668 loss: 0.2112 2022/08/27 01:50:58 - mmengine - INFO - Epoch(train) [377][35/63] lr: 1.0000e-05 eta: 15:22:10 time: 4.2959 data_time: 0.1771 memory: 28971 loss_text: 0.1584 loss_kernel: 0.0725 loss: 0.2309 2022/08/27 01:51:05 - mmengine - INFO - Epoch(train) [377][40/63] lr: 1.0000e-05 eta: 15:21:25 time: 2.9685 data_time: 0.1380 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0691 loss: 0.2195 2022/08/27 01:51:24 - mmengine - INFO - Epoch(train) [377][45/63] lr: 1.0000e-05 eta: 15:21:25 time: 2.6266 data_time: 0.1098 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0561 loss: 0.1763 2022/08/27 01:51:29 - mmengine - INFO - Epoch(train) [377][50/63] lr: 1.0000e-05 eta: 15:20:37 time: 2.4030 data_time: 0.0629 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0534 loss: 0.1667 2022/08/27 01:51:52 - mmengine - INFO - Epoch(train) [377][55/63] lr: 1.0000e-05 eta: 15:20:37 time: 2.7223 data_time: 0.1300 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0672 loss: 0.2134 2022/08/27 01:52:07 - mmengine - INFO - Epoch(train) [377][60/63] lr: 1.0000e-05 eta: 15:19:56 time: 3.6266 data_time: 0.2625 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0673 loss: 0.2134 2022/08/27 01:52:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:53:58 - mmengine - INFO - Epoch(train) [378][5/63] lr: 1.0000e-05 eta: 15:19:56 time: 12.2356 data_time: 9.5795 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0630 loss: 0.2017 2022/08/27 01:54:03 - mmengine - INFO - Epoch(train) [378][10/63] lr: 1.0000e-05 eta: 15:19:37 time: 10.5774 data_time: 9.2668 memory: 28971 loss_text: 0.1088 loss_kernel: 0.0504 loss: 0.1591 2022/08/27 01:54:15 - mmengine - INFO - Epoch(train) [378][15/63] lr: 1.0000e-05 eta: 15:19:37 time: 1.7039 data_time: 0.0461 memory: 28971 loss_text: 0.0904 loss_kernel: 0.0429 loss: 0.1334 2022/08/27 01:54:20 - mmengine - INFO - Epoch(train) [378][20/63] lr: 1.0000e-05 eta: 15:18:44 time: 1.7229 data_time: 0.0624 memory: 28971 loss_text: 0.1112 loss_kernel: 0.0525 loss: 0.1637 2022/08/27 01:54:31 - mmengine - INFO - Epoch(train) [378][25/63] lr: 1.0000e-05 eta: 15:18:44 time: 1.5382 data_time: 0.0642 memory: 28971 loss_text: 0.1556 loss_kernel: 0.0719 loss: 0.2275 2022/08/27 01:54:38 - mmengine - INFO - Epoch(train) [378][30/63] lr: 1.0000e-05 eta: 15:17:53 time: 1.8222 data_time: 0.1111 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0575 loss: 0.1803 2022/08/27 01:54:43 - mmengine - INFO - Epoch(train) [378][35/63] lr: 1.0000e-05 eta: 15:17:53 time: 1.2083 data_time: 0.1334 memory: 28971 loss_text: 0.1025 loss_kernel: 0.0496 loss: 0.1521 2022/08/27 01:54:57 - mmengine - INFO - Epoch(train) [378][40/63] lr: 1.0000e-05 eta: 15:17:01 time: 1.8530 data_time: 0.0807 memory: 28971 loss_text: 0.1534 loss_kernel: 0.0711 loss: 0.2245 2022/08/27 01:55:01 - mmengine - INFO - Epoch(train) [378][45/63] lr: 1.0000e-05 eta: 15:17:01 time: 1.8670 data_time: 0.0794 memory: 28971 loss_text: 0.1624 loss_kernel: 0.0747 loss: 0.2371 2022/08/27 01:55:16 - mmengine - INFO - Epoch(train) [378][50/63] lr: 1.0000e-05 eta: 15:16:10 time: 1.9140 data_time: 0.1070 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0693 loss: 0.2187 2022/08/27 01:55:21 - mmengine - INFO - Epoch(train) [378][55/63] lr: 1.0000e-05 eta: 15:16:10 time: 1.9202 data_time: 0.1170 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0614 loss: 0.1924 2022/08/27 01:55:34 - mmengine - INFO - Epoch(train) [378][60/63] lr: 1.0000e-05 eta: 15:15:18 time: 1.8186 data_time: 0.0821 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0565 loss: 0.1758 2022/08/27 01:55:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 01:57:17 - mmengine - INFO - Epoch(train) [379][5/63] lr: 1.0000e-05 eta: 15:15:18 time: 10.6900 data_time: 8.9914 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0666 loss: 0.2087 2022/08/27 01:57:21 - mmengine - INFO - Epoch(train) [379][10/63] lr: 1.0000e-05 eta: 15:14:59 time: 10.4034 data_time: 8.9699 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0579 loss: 0.1814 2022/08/27 01:57:33 - mmengine - INFO - Epoch(train) [379][15/63] lr: 1.0000e-05 eta: 15:14:59 time: 1.6240 data_time: 0.0797 memory: 28971 loss_text: 0.1129 loss_kernel: 0.0529 loss: 0.1657 2022/08/27 01:57:37 - mmengine - INFO - Epoch(train) [379][20/63] lr: 1.0000e-05 eta: 15:14:06 time: 1.6090 data_time: 0.0780 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0620 loss: 0.1972 2022/08/27 01:57:46 - mmengine - INFO - Epoch(train) [379][25/63] lr: 1.0000e-05 eta: 15:14:06 time: 1.3313 data_time: 0.0770 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0607 loss: 0.1886 2022/08/27 01:57:56 - mmengine - INFO - Epoch(train) [379][30/63] lr: 1.0000e-05 eta: 15:13:14 time: 1.8461 data_time: 0.0926 memory: 28971 loss_text: 0.1466 loss_kernel: 0.0687 loss: 0.2153 2022/08/27 01:58:02 - mmengine - INFO - Epoch(train) [379][35/63] lr: 1.0000e-05 eta: 15:13:14 time: 1.5724 data_time: 0.0648 memory: 28971 loss_text: 0.1354 loss_kernel: 0.0626 loss: 0.1980 2022/08/27 01:58:12 - mmengine - INFO - Epoch(train) [379][40/63] lr: 1.0000e-05 eta: 15:12:21 time: 1.5520 data_time: 0.0559 memory: 28971 loss_text: 0.1053 loss_kernel: 0.0502 loss: 0.1555 2022/08/27 01:58:17 - mmengine - INFO - Epoch(train) [379][45/63] lr: 1.0000e-05 eta: 15:12:21 time: 1.5355 data_time: 0.0773 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0610 loss: 0.1876 2022/08/27 01:58:25 - mmengine - INFO - Epoch(train) [379][50/63] lr: 1.0000e-05 eta: 15:11:27 time: 1.3889 data_time: 0.2941 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0632 loss: 0.1944 2022/08/27 01:58:39 - mmengine - INFO - Epoch(train) [379][55/63] lr: 1.0000e-05 eta: 15:11:27 time: 2.1260 data_time: 0.3129 memory: 28971 loss_text: 0.1051 loss_kernel: 0.0512 loss: 0.1563 2022/08/27 01:58:43 - mmengine - INFO - Epoch(train) [379][60/63] lr: 1.0000e-05 eta: 15:10:35 time: 1.7671 data_time: 0.0800 memory: 28971 loss_text: 0.1086 loss_kernel: 0.0525 loss: 0.1612 2022/08/27 01:58:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:01:01 - mmengine - INFO - Epoch(train) [380][5/63] lr: 1.0000e-05 eta: 15:10:35 time: 13.9403 data_time: 10.5263 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0630 loss: 0.1993 2022/08/27 02:01:22 - mmengine - INFO - Epoch(train) [380][10/63] lr: 1.0000e-05 eta: 15:10:39 time: 14.4840 data_time: 10.5638 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0594 loss: 0.1860 2022/08/27 02:01:27 - mmengine - INFO - Epoch(train) [380][15/63] lr: 1.0000e-05 eta: 15:10:39 time: 2.5859 data_time: 0.2009 memory: 28971 loss_text: 0.0849 loss_kernel: 0.0421 loss: 0.1270 2022/08/27 02:01:50 - mmengine - INFO - Epoch(train) [380][20/63] lr: 1.0000e-05 eta: 15:09:53 time: 2.8178 data_time: 0.2626 memory: 28971 loss_text: 0.1190 loss_kernel: 0.0569 loss: 0.1760 2022/08/27 02:02:03 - mmengine - INFO - Epoch(train) [380][25/63] lr: 1.0000e-05 eta: 15:09:53 time: 3.5372 data_time: 0.2328 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0639 loss: 0.2022 2022/08/27 02:02:16 - mmengine - INFO - Epoch(train) [380][30/63] lr: 1.0000e-05 eta: 15:09:06 time: 2.6338 data_time: 0.2472 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0581 loss: 0.1857 2022/08/27 02:02:33 - mmengine - INFO - Epoch(train) [380][35/63] lr: 1.0000e-05 eta: 15:09:06 time: 3.0145 data_time: 0.2798 memory: 28971 loss_text: 0.1403 loss_kernel: 0.0639 loss: 0.2043 2022/08/27 02:02:37 - mmengine - INFO - Epoch(train) [380][40/63] lr: 1.0000e-05 eta: 15:08:17 time: 2.1300 data_time: 0.1501 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0663 loss: 0.2075 2022/08/27 02:02:57 - mmengine - INFO - Epoch(train) [380][45/63] lr: 1.0000e-05 eta: 15:08:17 time: 2.4509 data_time: 0.1354 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0576 loss: 0.1784 2022/08/27 02:03:02 - mmengine - INFO - Epoch(train) [380][50/63] lr: 1.0000e-05 eta: 15:07:29 time: 2.4863 data_time: 0.1323 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0546 loss: 0.1698 2022/08/27 02:03:24 - mmengine - INFO - Epoch(train) [380][55/63] lr: 1.0000e-05 eta: 15:07:29 time: 2.6028 data_time: 0.0895 memory: 28971 loss_text: 0.1203 loss_kernel: 0.0569 loss: 0.1773 2022/08/27 02:03:44 - mmengine - INFO - Epoch(train) [380][60/63] lr: 1.0000e-05 eta: 15:06:51 time: 4.0947 data_time: 0.2267 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0622 loss: 0.1957 2022/08/27 02:03:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:03:53 - mmengine - INFO - Saving checkpoint at 380 epochs 2022/08/27 02:06:02 - mmengine - INFO - Epoch(train) [381][5/63] lr: 1.0000e-05 eta: 15:06:51 time: 14.4216 data_time: 9.7307 memory: 28971 loss_text: 0.1303 loss_kernel: 0.0612 loss: 0.1915 2022/08/27 02:06:26 - mmengine - INFO - Epoch(train) [381][10/63] lr: 1.0000e-05 eta: 15:06:53 time: 14.2560 data_time: 9.7863 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0643 loss: 0.2019 2022/08/27 02:06:31 - mmengine - INFO - Epoch(train) [381][15/63] lr: 1.0000e-05 eta: 15:06:53 time: 2.9595 data_time: 0.2245 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0645 loss: 0.2026 2022/08/27 02:06:58 - mmengine - INFO - Epoch(train) [381][20/63] lr: 1.0000e-05 eta: 15:06:10 time: 3.2814 data_time: 0.2999 memory: 28971 loss_text: 0.1286 loss_kernel: 0.0612 loss: 0.1898 2022/08/27 02:07:02 - mmengine - INFO - Epoch(train) [381][25/63] lr: 1.0000e-05 eta: 15:06:10 time: 3.1246 data_time: 0.2414 memory: 28971 loss_text: 0.1081 loss_kernel: 0.0524 loss: 0.1605 2022/08/27 02:07:28 - mmengine - INFO - Epoch(train) [381][30/63] lr: 1.0000e-05 eta: 15:05:25 time: 2.9949 data_time: 0.1687 memory: 28971 loss_text: 0.0956 loss_kernel: 0.0468 loss: 0.1424 2022/08/27 02:07:32 - mmengine - INFO - Epoch(train) [381][35/63] lr: 1.0000e-05 eta: 15:05:25 time: 3.0054 data_time: 0.1896 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0582 loss: 0.1862 2022/08/27 02:07:56 - mmengine - INFO - Epoch(train) [381][40/63] lr: 1.0000e-05 eta: 15:04:39 time: 2.7898 data_time: 0.1353 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0709 loss: 0.2304 2022/08/27 02:08:03 - mmengine - INFO - Epoch(train) [381][45/63] lr: 1.0000e-05 eta: 15:04:39 time: 3.0529 data_time: 0.2195 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0644 loss: 0.2050 2022/08/27 02:08:27 - mmengine - INFO - Epoch(train) [381][50/63] lr: 1.0000e-05 eta: 15:03:55 time: 3.1431 data_time: 0.2303 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0592 loss: 0.1871 2022/08/27 02:08:51 - mmengine - INFO - Epoch(train) [381][55/63] lr: 1.0000e-05 eta: 15:03:55 time: 4.8064 data_time: 0.1515 memory: 28971 loss_text: 0.1171 loss_kernel: 0.0549 loss: 0.1721 2022/08/27 02:08:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:08:58 - mmengine - INFO - Epoch(train) [381][60/63] lr: 1.0000e-05 eta: 15:03:11 time: 3.0989 data_time: 0.2231 memory: 28971 loss_text: 0.1085 loss_kernel: 0.0530 loss: 0.1615 2022/08/27 02:09:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:11:17 - mmengine - INFO - Epoch(train) [382][5/63] lr: 1.0000e-05 eta: 15:03:11 time: 13.9604 data_time: 9.6746 memory: 28971 loss_text: 0.1149 loss_kernel: 0.0543 loss: 0.1692 2022/08/27 02:11:23 - mmengine - INFO - Epoch(train) [382][10/63] lr: 1.0000e-05 eta: 15:02:59 time: 11.9003 data_time: 9.7034 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0597 loss: 0.1858 2022/08/27 02:11:41 - mmengine - INFO - Epoch(train) [382][15/63] lr: 1.0000e-05 eta: 15:02:59 time: 2.4545 data_time: 0.1017 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0566 loss: 0.1749 2022/08/27 02:11:47 - mmengine - INFO - Epoch(train) [382][20/63] lr: 1.0000e-05 eta: 15:02:11 time: 2.3965 data_time: 0.1527 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0616 loss: 0.1910 2022/08/27 02:12:01 - mmengine - INFO - Epoch(train) [382][25/63] lr: 1.0000e-05 eta: 15:02:11 time: 1.9103 data_time: 0.1215 memory: 28971 loss_text: 0.1558 loss_kernel: 0.0716 loss: 0.2273 2022/08/27 02:12:19 - mmengine - INFO - Epoch(train) [382][30/63] lr: 1.0000e-05 eta: 15:01:28 time: 3.2141 data_time: 0.1219 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0683 loss: 0.2175 2022/08/27 02:12:28 - mmengine - INFO - Epoch(train) [382][35/63] lr: 1.0000e-05 eta: 15:01:28 time: 2.7438 data_time: 0.1466 memory: 28971 loss_text: 0.1101 loss_kernel: 0.0526 loss: 0.1628 2022/08/27 02:12:46 - mmengine - INFO - Epoch(train) [382][40/63] lr: 1.0000e-05 eta: 15:00:42 time: 2.7397 data_time: 0.0983 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0579 loss: 0.1800 2022/08/27 02:13:05 - mmengine - INFO - Epoch(train) [382][45/63] lr: 1.0000e-05 eta: 15:00:42 time: 3.6889 data_time: 0.2210 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0666 loss: 0.2085 2022/08/27 02:13:30 - mmengine - INFO - Epoch(train) [382][50/63] lr: 1.0000e-05 eta: 15:00:05 time: 4.3424 data_time: 0.3062 memory: 28971 loss_text: 0.1087 loss_kernel: 0.0528 loss: 0.1615 2022/08/27 02:13:53 - mmengine - INFO - Epoch(train) [382][55/63] lr: 1.0000e-05 eta: 15:00:05 time: 4.8271 data_time: 0.2407 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0585 loss: 0.1814 2022/08/27 02:13:58 - mmengine - INFO - Epoch(train) [382][60/63] lr: 1.0000e-05 eta: 14:59:19 time: 2.8560 data_time: 0.2021 memory: 28971 loss_text: 0.1575 loss_kernel: 0.0729 loss: 0.2304 2022/08/27 02:14:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:16:09 - mmengine - INFO - Epoch(train) [383][5/63] lr: 1.0000e-05 eta: 14:59:19 time: 13.0029 data_time: 9.5968 memory: 28971 loss_text: 0.1519 loss_kernel: 0.0713 loss: 0.2231 2022/08/27 02:16:17 - mmengine - INFO - Epoch(train) [383][10/63] lr: 1.0000e-05 eta: 14:59:07 time: 11.8894 data_time: 9.7507 memory: 28971 loss_text: 0.1516 loss_kernel: 0.0711 loss: 0.2228 2022/08/27 02:16:32 - mmengine - INFO - Epoch(train) [383][15/63] lr: 1.0000e-05 eta: 14:59:07 time: 2.4924 data_time: 0.2714 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0599 loss: 0.1855 2022/08/27 02:16:51 - mmengine - INFO - Epoch(train) [383][20/63] lr: 1.0000e-05 eta: 14:58:25 time: 3.4664 data_time: 0.2315 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0703 loss: 0.2213 2022/08/27 02:16:58 - mmengine - INFO - Epoch(train) [383][25/63] lr: 1.0000e-05 eta: 14:58:25 time: 2.5815 data_time: 0.1767 memory: 28971 loss_text: 0.1593 loss_kernel: 0.0734 loss: 0.2328 2022/08/27 02:17:15 - mmengine - INFO - Epoch(train) [383][30/63] lr: 1.0000e-05 eta: 14:57:37 time: 2.3506 data_time: 0.0663 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0556 loss: 0.1733 2022/08/27 02:17:39 - mmengine - INFO - Epoch(train) [383][35/63] lr: 1.0000e-05 eta: 14:57:37 time: 4.0663 data_time: 0.1510 memory: 28971 loss_text: 0.0912 loss_kernel: 0.0440 loss: 0.1352 2022/08/27 02:17:56 - mmengine - INFO - Epoch(train) [383][40/63] lr: 1.0000e-05 eta: 14:56:59 time: 4.1477 data_time: 0.1969 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0595 loss: 0.1869 2022/08/27 02:18:04 - mmengine - INFO - Epoch(train) [383][45/63] lr: 1.0000e-05 eta: 14:56:59 time: 2.4955 data_time: 0.1686 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0660 loss: 0.2082 2022/08/27 02:18:24 - mmengine - INFO - Epoch(train) [383][50/63] lr: 1.0000e-05 eta: 14:56:13 time: 2.8094 data_time: 0.1212 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0722 loss: 0.2319 2022/08/27 02:18:29 - mmengine - INFO - Epoch(train) [383][55/63] lr: 1.0000e-05 eta: 14:56:13 time: 2.5470 data_time: 0.0707 memory: 28971 loss_text: 0.1484 loss_kernel: 0.0674 loss: 0.2158 2022/08/27 02:18:51 - mmengine - INFO - Epoch(train) [383][60/63] lr: 1.0000e-05 eta: 14:55:27 time: 2.6664 data_time: 0.1542 memory: 28971 loss_text: 0.1087 loss_kernel: 0.0518 loss: 0.1605 2022/08/27 02:18:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:20:49 - mmengine - INFO - Epoch(train) [384][5/63] lr: 1.0000e-05 eta: 14:55:27 time: 13.4420 data_time: 9.4869 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0508 loss: 0.1567 2022/08/27 02:21:07 - mmengine - INFO - Epoch(train) [384][10/63] lr: 1.0000e-05 eta: 14:55:20 time: 12.8937 data_time: 9.5276 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0587 loss: 0.1872 2022/08/27 02:21:12 - mmengine - INFO - Epoch(train) [384][15/63] lr: 1.0000e-05 eta: 14:55:20 time: 2.3909 data_time: 0.1567 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0607 loss: 0.1928 2022/08/27 02:21:31 - mmengine - INFO - Epoch(train) [384][20/63] lr: 1.0000e-05 eta: 14:54:32 time: 2.3939 data_time: 0.1079 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0709 loss: 0.2238 2022/08/27 02:21:36 - mmengine - INFO - Epoch(train) [384][25/63] lr: 1.0000e-05 eta: 14:54:32 time: 2.3777 data_time: 0.1530 memory: 28971 loss_text: 0.1567 loss_kernel: 0.0730 loss: 0.2297 2022/08/27 02:21:51 - mmengine - INFO - Epoch(train) [384][30/63] lr: 1.0000e-05 eta: 14:53:41 time: 2.0239 data_time: 0.0987 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0647 loss: 0.2019 2022/08/27 02:22:09 - mmengine - INFO - Epoch(train) [384][35/63] lr: 1.0000e-05 eta: 14:53:41 time: 3.2743 data_time: 0.1551 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0636 loss: 0.2008 2022/08/27 02:22:19 - mmengine - INFO - Epoch(train) [384][40/63] lr: 1.0000e-05 eta: 14:52:56 time: 2.8226 data_time: 0.2144 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0578 loss: 0.1811 2022/08/27 02:22:29 - mmengine - INFO - Epoch(train) [384][45/63] lr: 1.0000e-05 eta: 14:52:56 time: 2.0353 data_time: 0.1465 memory: 28971 loss_text: 0.1042 loss_kernel: 0.0502 loss: 0.1544 2022/08/27 02:22:48 - mmengine - INFO - Epoch(train) [384][50/63] lr: 1.0000e-05 eta: 14:52:11 time: 2.9004 data_time: 0.2248 memory: 28971 loss_text: 0.1036 loss_kernel: 0.0498 loss: 0.1535 2022/08/27 02:22:54 - mmengine - INFO - Epoch(train) [384][55/63] lr: 1.0000e-05 eta: 14:52:11 time: 2.4581 data_time: 0.2010 memory: 28971 loss_text: 0.0983 loss_kernel: 0.0474 loss: 0.1457 2022/08/27 02:23:14 - mmengine - INFO - Epoch(train) [384][60/63] lr: 1.0000e-05 eta: 14:51:24 time: 2.5898 data_time: 0.1594 memory: 28971 loss_text: 0.1165 loss_kernel: 0.0555 loss: 0.1720 2022/08/27 02:23:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:25:15 - mmengine - INFO - Epoch(train) [385][5/63] lr: 1.0000e-05 eta: 14:51:24 time: 12.2488 data_time: 10.0005 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0544 loss: 0.1672 2022/08/27 02:25:31 - mmengine - INFO - Epoch(train) [385][10/63] lr: 1.0000e-05 eta: 14:51:19 time: 13.2568 data_time: 10.0516 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0599 loss: 0.1875 2022/08/27 02:25:39 - mmengine - INFO - Epoch(train) [385][15/63] lr: 1.0000e-05 eta: 14:51:19 time: 2.3681 data_time: 0.2102 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0632 loss: 0.2001 2022/08/27 02:25:59 - mmengine - INFO - Epoch(train) [385][20/63] lr: 1.0000e-05 eta: 14:50:33 time: 2.7421 data_time: 0.2039 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0610 loss: 0.1925 2022/08/27 02:26:16 - mmengine - INFO - Epoch(train) [385][25/63] lr: 1.0000e-05 eta: 14:50:33 time: 3.6960 data_time: 0.1512 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0609 loss: 0.1907 2022/08/27 02:26:22 - mmengine - INFO - Epoch(train) [385][30/63] lr: 1.0000e-05 eta: 14:49:44 time: 2.3340 data_time: 0.1246 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0598 loss: 0.1844 2022/08/27 02:26:41 - mmengine - INFO - Epoch(train) [385][35/63] lr: 1.0000e-05 eta: 14:49:44 time: 2.5091 data_time: 0.0865 memory: 28971 loss_text: 0.1146 loss_kernel: 0.0545 loss: 0.1691 2022/08/27 02:26:47 - mmengine - INFO - Epoch(train) [385][40/63] lr: 1.0000e-05 eta: 14:48:57 time: 2.5198 data_time: 0.0655 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0628 loss: 0.2011 2022/08/27 02:27:07 - mmengine - INFO - Epoch(train) [385][45/63] lr: 1.0000e-05 eta: 14:48:57 time: 2.5310 data_time: 0.0999 memory: 28971 loss_text: 0.1840 loss_kernel: 0.0826 loss: 0.2665 2022/08/27 02:27:12 - mmengine - INFO - Epoch(train) [385][50/63] lr: 1.0000e-05 eta: 14:48:10 time: 2.5115 data_time: 0.1969 memory: 28971 loss_text: 0.1609 loss_kernel: 0.0736 loss: 0.2345 2022/08/27 02:27:33 - mmengine - INFO - Epoch(train) [385][55/63] lr: 1.0000e-05 eta: 14:48:10 time: 2.6006 data_time: 0.2324 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0542 loss: 0.1691 2022/08/27 02:27:38 - mmengine - INFO - Epoch(train) [385][60/63] lr: 1.0000e-05 eta: 14:47:23 time: 2.5671 data_time: 0.2350 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0560 loss: 0.1734 2022/08/27 02:27:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:29:50 - mmengine - INFO - Epoch(train) [386][5/63] lr: 1.0000e-05 eta: 14:47:23 time: 13.2832 data_time: 9.8662 memory: 28971 loss_text: 0.1533 loss_kernel: 0.0719 loss: 0.2252 2022/08/27 02:30:07 - mmengine - INFO - Epoch(train) [386][10/63] lr: 1.0000e-05 eta: 14:47:16 time: 13.0516 data_time: 9.8857 memory: 28971 loss_text: 0.1817 loss_kernel: 0.0843 loss: 0.2661 2022/08/27 02:30:12 - mmengine - INFO - Epoch(train) [386][15/63] lr: 1.0000e-05 eta: 14:47:16 time: 2.2533 data_time: 0.1033 memory: 28971 loss_text: 0.1680 loss_kernel: 0.0769 loss: 0.2449 2022/08/27 02:30:26 - mmengine - INFO - Epoch(train) [386][20/63] lr: 1.0000e-05 eta: 14:46:26 time: 1.9314 data_time: 0.0747 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0684 loss: 0.2175 2022/08/27 02:30:32 - mmengine - INFO - Epoch(train) [386][25/63] lr: 1.0000e-05 eta: 14:46:26 time: 1.9503 data_time: 0.1312 memory: 28971 loss_text: 0.1632 loss_kernel: 0.0751 loss: 0.2383 2022/08/27 02:30:48 - mmengine - INFO - Epoch(train) [386][30/63] lr: 1.0000e-05 eta: 14:45:37 time: 2.2164 data_time: 0.1362 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0678 loss: 0.2123 2022/08/27 02:30:54 - mmengine - INFO - Epoch(train) [386][35/63] lr: 1.0000e-05 eta: 14:45:37 time: 2.1909 data_time: 0.1494 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0628 loss: 0.1945 2022/08/27 02:31:09 - mmengine - INFO - Epoch(train) [386][40/63] lr: 1.0000e-05 eta: 14:44:47 time: 2.0912 data_time: 0.1881 memory: 28971 loss_text: 0.1173 loss_kernel: 0.0559 loss: 0.1732 2022/08/27 02:31:15 - mmengine - INFO - Epoch(train) [386][45/63] lr: 1.0000e-05 eta: 14:44:47 time: 2.1027 data_time: 0.1892 memory: 28971 loss_text: 0.0986 loss_kernel: 0.0479 loss: 0.1465 2022/08/27 02:31:34 - mmengine - INFO - Epoch(train) [386][50/63] lr: 1.0000e-05 eta: 14:44:00 time: 2.4809 data_time: 0.1444 memory: 28971 loss_text: 0.1161 loss_kernel: 0.0547 loss: 0.1708 2022/08/27 02:31:39 - mmengine - INFO - Epoch(train) [386][55/63] lr: 1.0000e-05 eta: 14:44:00 time: 2.4646 data_time: 0.0538 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0633 loss: 0.1996 2022/08/27 02:31:58 - mmengine - INFO - Epoch(train) [386][60/63] lr: 1.0000e-05 eta: 14:43:12 time: 2.3361 data_time: 0.1759 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0594 loss: 0.1850 2022/08/27 02:32:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:33:53 - mmengine - INFO - Epoch(train) [387][5/63] lr: 1.0000e-05 eta: 14:43:12 time: 11.7018 data_time: 9.6972 memory: 28971 loss_text: 0.1103 loss_kernel: 0.0529 loss: 0.1632 2022/08/27 02:33:59 - mmengine - INFO - Epoch(train) [387][10/63] lr: 1.0000e-05 eta: 14:42:56 time: 11.4748 data_time: 9.5904 memory: 28971 loss_text: 0.1405 loss_kernel: 0.0647 loss: 0.2052 2022/08/27 02:34:18 - mmengine - INFO - Epoch(train) [387][15/63] lr: 1.0000e-05 eta: 14:42:56 time: 2.5239 data_time: 0.1034 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0568 loss: 0.1779 2022/08/27 02:34:23 - mmengine - INFO - Epoch(train) [387][20/63] lr: 1.0000e-05 eta: 14:42:08 time: 2.4430 data_time: 0.1266 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0502 loss: 0.1559 2022/08/27 02:34:42 - mmengine - INFO - Epoch(train) [387][25/63] lr: 1.0000e-05 eta: 14:42:08 time: 2.3881 data_time: 0.1022 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0620 loss: 0.1957 2022/08/27 02:34:48 - mmengine - INFO - Epoch(train) [387][30/63] lr: 1.0000e-05 eta: 14:41:21 time: 2.5021 data_time: 0.0849 memory: 28971 loss_text: 0.1145 loss_kernel: 0.0546 loss: 0.1691 2022/08/27 02:35:03 - mmengine - INFO - Epoch(train) [387][35/63] lr: 1.0000e-05 eta: 14:41:21 time: 2.0802 data_time: 0.1120 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0588 loss: 0.1820 2022/08/27 02:35:08 - mmengine - INFO - Epoch(train) [387][40/63] lr: 1.0000e-05 eta: 14:40:31 time: 1.9659 data_time: 0.0936 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0710 loss: 0.2226 2022/08/27 02:35:24 - mmengine - INFO - Epoch(train) [387][45/63] lr: 1.0000e-05 eta: 14:40:31 time: 2.0661 data_time: 0.0496 memory: 28971 loss_text: 0.1440 loss_kernel: 0.0672 loss: 0.2112 2022/08/27 02:35:28 - mmengine - INFO - Epoch(train) [387][50/63] lr: 1.0000e-05 eta: 14:39:41 time: 2.0356 data_time: 0.0803 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0602 loss: 0.1879 2022/08/27 02:35:46 - mmengine - INFO - Epoch(train) [387][55/63] lr: 1.0000e-05 eta: 14:39:41 time: 2.2292 data_time: 0.0784 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0594 loss: 0.1844 2022/08/27 02:35:52 - mmengine - INFO - Epoch(train) [387][60/63] lr: 1.0000e-05 eta: 14:38:54 time: 2.4164 data_time: 0.1817 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0582 loss: 0.1818 2022/08/27 02:36:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:38:00 - mmengine - INFO - Epoch(train) [388][5/63] lr: 1.0000e-05 eta: 14:38:54 time: 12.8367 data_time: 9.3945 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0563 loss: 0.1771 2022/08/27 02:38:14 - mmengine - INFO - Epoch(train) [388][10/63] lr: 1.0000e-05 eta: 14:38:44 time: 12.5986 data_time: 9.4734 memory: 28971 loss_text: 0.1438 loss_kernel: 0.0664 loss: 0.2101 2022/08/27 02:38:24 - mmengine - INFO - Epoch(train) [388][15/63] lr: 1.0000e-05 eta: 14:38:44 time: 2.3495 data_time: 0.1570 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0605 loss: 0.1906 2022/08/27 02:38:28 - mmengine - INFO - Epoch(train) [388][20/63] lr: 1.0000e-05 eta: 14:37:50 time: 1.3977 data_time: 0.0837 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0627 loss: 0.1989 2022/08/27 02:38:46 - mmengine - INFO - Epoch(train) [388][25/63] lr: 1.0000e-05 eta: 14:37:50 time: 2.1933 data_time: 0.1177 memory: 28971 loss_text: 0.1197 loss_kernel: 0.0566 loss: 0.1763 2022/08/27 02:39:02 - mmengine - INFO - Epoch(train) [388][30/63] lr: 1.0000e-05 eta: 14:37:07 time: 3.2509 data_time: 0.1339 memory: 28971 loss_text: 0.1119 loss_kernel: 0.0537 loss: 0.1656 2022/08/27 02:39:10 - mmengine - INFO - Epoch(train) [388][35/63] lr: 1.0000e-05 eta: 14:37:07 time: 2.4252 data_time: 0.3211 memory: 28971 loss_text: 0.1178 loss_kernel: 0.0562 loss: 0.1740 2022/08/27 02:39:14 - mmengine - INFO - Epoch(train) [388][40/63] lr: 1.0000e-05 eta: 14:36:14 time: 1.3562 data_time: 0.3012 memory: 28971 loss_text: 0.1182 loss_kernel: 0.0570 loss: 0.1751 2022/08/27 02:39:29 - mmengine - INFO - Epoch(train) [388][45/63] lr: 1.0000e-05 eta: 14:36:14 time: 1.9579 data_time: 0.1116 memory: 28971 loss_text: 0.1639 loss_kernel: 0.0765 loss: 0.2404 2022/08/27 02:39:52 - mmengine - INFO - Epoch(train) [388][50/63] lr: 1.0000e-05 eta: 14:35:33 time: 3.7036 data_time: 0.4360 memory: 28971 loss_text: 0.1753 loss_kernel: 0.0806 loss: 0.2559 2022/08/27 02:39:57 - mmengine - INFO - Epoch(train) [388][55/63] lr: 1.0000e-05 eta: 14:35:33 time: 2.7513 data_time: 0.4463 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0626 loss: 0.1940 2022/08/27 02:40:12 - mmengine - INFO - Epoch(train) [388][60/63] lr: 1.0000e-05 eta: 14:34:44 time: 2.0139 data_time: 0.1495 memory: 28971 loss_text: 0.1617 loss_kernel: 0.0754 loss: 0.2371 2022/08/27 02:40:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:41:59 - mmengine - INFO - Epoch(train) [389][5/63] lr: 1.0000e-05 eta: 14:34:44 time: 11.0193 data_time: 9.2588 memory: 28971 loss_text: 0.1770 loss_kernel: 0.0803 loss: 0.2573 2022/08/27 02:42:04 - mmengine - INFO - Epoch(train) [389][10/63] lr: 1.0000e-05 eta: 14:34:24 time: 10.8974 data_time: 9.2012 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0565 loss: 0.1748 2022/08/27 02:42:23 - mmengine - INFO - Epoch(train) [389][15/63] lr: 1.0000e-05 eta: 14:34:24 time: 2.4030 data_time: 0.0955 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0583 loss: 0.1797 2022/08/27 02:42:29 - mmengine - INFO - Epoch(train) [389][20/63] lr: 1.0000e-05 eta: 14:33:37 time: 2.5045 data_time: 0.1891 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0640 loss: 0.2021 2022/08/27 02:42:49 - mmengine - INFO - Epoch(train) [389][25/63] lr: 1.0000e-05 eta: 14:33:37 time: 2.5881 data_time: 0.1975 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0530 loss: 0.1689 2022/08/27 02:42:54 - mmengine - INFO - Epoch(train) [389][30/63] lr: 1.0000e-05 eta: 14:32:50 time: 2.4603 data_time: 0.0969 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0557 loss: 0.1759 2022/08/27 02:43:09 - mmengine - INFO - Epoch(train) [389][35/63] lr: 1.0000e-05 eta: 14:32:50 time: 2.0404 data_time: 0.1995 memory: 28971 loss_text: 0.1332 loss_kernel: 0.0630 loss: 0.1961 2022/08/27 02:43:14 - mmengine - INFO - Epoch(train) [389][40/63] lr: 1.0000e-05 eta: 14:32:00 time: 2.0111 data_time: 0.1938 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0634 loss: 0.1966 2022/08/27 02:43:28 - mmengine - INFO - Epoch(train) [389][45/63] lr: 1.0000e-05 eta: 14:32:00 time: 1.8624 data_time: 0.0924 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0602 loss: 0.1866 2022/08/27 02:43:33 - mmengine - INFO - Epoch(train) [389][50/63] lr: 1.0000e-05 eta: 14:31:10 time: 1.9152 data_time: 0.1173 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0543 loss: 0.1661 2022/08/27 02:43:53 - mmengine - INFO - Epoch(train) [389][55/63] lr: 1.0000e-05 eta: 14:31:10 time: 2.4421 data_time: 0.0854 memory: 28971 loss_text: 0.1048 loss_kernel: 0.0515 loss: 0.1563 2022/08/27 02:43:58 - mmengine - INFO - Epoch(train) [389][60/63] lr: 1.0000e-05 eta: 14:30:23 time: 2.4556 data_time: 0.1391 memory: 28971 loss_text: 0.1306 loss_kernel: 0.0623 loss: 0.1928 2022/08/27 02:44:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:45:58 - mmengine - INFO - Epoch(train) [390][5/63] lr: 1.0000e-05 eta: 14:30:23 time: 12.0601 data_time: 9.2683 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0659 loss: 0.2035 2022/08/27 02:46:03 - mmengine - INFO - Epoch(train) [390][10/63] lr: 1.0000e-05 eta: 14:30:05 time: 11.2317 data_time: 9.3470 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0618 loss: 0.1918 2022/08/27 02:46:20 - mmengine - INFO - Epoch(train) [390][15/63] lr: 1.0000e-05 eta: 14:30:05 time: 2.1830 data_time: 0.0926 memory: 28971 loss_text: 0.0973 loss_kernel: 0.0472 loss: 0.1445 2022/08/27 02:46:25 - mmengine - INFO - Epoch(train) [390][20/63] lr: 1.0000e-05 eta: 14:29:16 time: 2.1495 data_time: 0.1024 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0610 loss: 0.1899 2022/08/27 02:46:43 - mmengine - INFO - Epoch(train) [390][25/63] lr: 1.0000e-05 eta: 14:29:16 time: 2.3024 data_time: 0.1458 memory: 28971 loss_text: 0.1524 loss_kernel: 0.0711 loss: 0.2236 2022/08/27 02:46:48 - mmengine - INFO - Epoch(train) [390][30/63] lr: 1.0000e-05 eta: 14:28:28 time: 2.3036 data_time: 0.1117 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0632 loss: 0.1980 2022/08/27 02:47:05 - mmengine - INFO - Epoch(train) [390][35/63] lr: 1.0000e-05 eta: 14:28:28 time: 2.1789 data_time: 0.1992 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0636 loss: 0.1979 2022/08/27 02:47:09 - mmengine - INFO - Epoch(train) [390][40/63] lr: 1.0000e-05 eta: 14:27:39 time: 2.1455 data_time: 0.1743 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0619 loss: 0.1947 2022/08/27 02:47:27 - mmengine - INFO - Epoch(train) [390][45/63] lr: 1.0000e-05 eta: 14:27:39 time: 2.2428 data_time: 0.1106 memory: 28971 loss_text: 0.1018 loss_kernel: 0.0487 loss: 0.1505 2022/08/27 02:47:39 - mmengine - INFO - Epoch(train) [390][50/63] lr: 1.0000e-05 eta: 14:26:54 time: 2.9100 data_time: 0.1841 memory: 28971 loss_text: 0.1055 loss_kernel: 0.0496 loss: 0.1551 2022/08/27 02:47:59 - mmengine - INFO - Epoch(train) [390][55/63] lr: 1.0000e-05 eta: 14:26:54 time: 3.2258 data_time: 0.2057 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0563 loss: 0.1785 2022/08/27 02:48:25 - mmengine - INFO - Epoch(train) [390][60/63] lr: 1.0000e-05 eta: 14:26:18 time: 4.6013 data_time: 0.2299 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0665 loss: 0.2088 2022/08/27 02:48:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:50:17 - mmengine - INFO - Epoch(train) [391][5/63] lr: 1.0000e-05 eta: 14:26:18 time: 12.8903 data_time: 9.4047 memory: 28971 loss_text: 0.1290 loss_kernel: 0.0606 loss: 0.1896 2022/08/27 02:50:29 - mmengine - INFO - Epoch(train) [391][10/63] lr: 1.0000e-05 eta: 14:26:05 time: 12.1020 data_time: 9.3587 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0630 loss: 0.1973 2022/08/27 02:50:39 - mmengine - INFO - Epoch(train) [391][15/63] lr: 1.0000e-05 eta: 14:26:05 time: 2.2435 data_time: 0.1256 memory: 28971 loss_text: 0.1224 loss_kernel: 0.0582 loss: 0.1806 2022/08/27 02:50:57 - mmengine - INFO - Epoch(train) [391][20/63] lr: 1.0000e-05 eta: 14:25:19 time: 2.7140 data_time: 0.2481 memory: 28971 loss_text: 0.1106 loss_kernel: 0.0532 loss: 0.1639 2022/08/27 02:51:02 - mmengine - INFO - Epoch(train) [391][25/63] lr: 1.0000e-05 eta: 14:25:19 time: 2.2346 data_time: 0.2415 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0577 loss: 0.1805 2022/08/27 02:51:21 - mmengine - INFO - Epoch(train) [391][30/63] lr: 1.0000e-05 eta: 14:24:32 time: 2.4234 data_time: 0.1383 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0559 loss: 0.1752 2022/08/27 02:51:26 - mmengine - INFO - Epoch(train) [391][35/63] lr: 1.0000e-05 eta: 14:24:32 time: 2.4506 data_time: 0.1597 memory: 28971 loss_text: 0.0989 loss_kernel: 0.0473 loss: 0.1462 2022/08/27 02:51:44 - mmengine - INFO - Epoch(train) [391][40/63] lr: 1.0000e-05 eta: 14:23:44 time: 2.3604 data_time: 0.2149 memory: 28971 loss_text: 0.0990 loss_kernel: 0.0485 loss: 0.1475 2022/08/27 02:51:49 - mmengine - INFO - Epoch(train) [391][45/63] lr: 1.0000e-05 eta: 14:23:44 time: 2.2803 data_time: 0.1373 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0644 loss: 0.2009 2022/08/27 02:52:09 - mmengine - INFO - Epoch(train) [391][50/63] lr: 1.0000e-05 eta: 14:22:57 time: 2.4990 data_time: 0.0911 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0653 loss: 0.2069 2022/08/27 02:52:24 - mmengine - INFO - Epoch(train) [391][55/63] lr: 1.0000e-05 eta: 14:22:57 time: 3.5432 data_time: 0.0879 memory: 28971 loss_text: 0.0992 loss_kernel: 0.0474 loss: 0.1465 2022/08/27 02:52:38 - mmengine - INFO - Epoch(train) [391][60/63] lr: 1.0000e-05 eta: 14:22:12 time: 2.8295 data_time: 0.1913 memory: 28971 loss_text: 0.1028 loss_kernel: 0.0491 loss: 0.1519 2022/08/27 02:52:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:54:43 - mmengine - INFO - Epoch(train) [392][5/63] lr: 1.0000e-05 eta: 14:22:12 time: 12.6917 data_time: 9.3950 memory: 28971 loss_text: 0.1542 loss_kernel: 0.0709 loss: 0.2252 2022/08/27 02:54:48 - mmengine - INFO - Epoch(train) [392][10/63] lr: 1.0000e-05 eta: 14:21:54 time: 11.3214 data_time: 9.3981 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0667 loss: 0.2111 2022/08/27 02:55:04 - mmengine - INFO - Epoch(train) [392][15/63] lr: 1.0000e-05 eta: 14:21:54 time: 2.1220 data_time: 0.0602 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0562 loss: 0.1739 2022/08/27 02:55:10 - mmengine - INFO - Epoch(train) [392][20/63] lr: 1.0000e-05 eta: 14:21:05 time: 2.1519 data_time: 0.0776 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0613 loss: 0.1913 2022/08/27 02:55:29 - mmengine - INFO - Epoch(train) [392][25/63] lr: 1.0000e-05 eta: 14:21:05 time: 2.4652 data_time: 0.0727 memory: 28971 loss_text: 0.1507 loss_kernel: 0.0697 loss: 0.2203 2022/08/27 02:55:34 - mmengine - INFO - Epoch(train) [392][30/63] lr: 1.0000e-05 eta: 14:20:18 time: 2.4245 data_time: 0.0639 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0651 loss: 0.2050 2022/08/27 02:55:54 - mmengine - INFO - Epoch(train) [392][35/63] lr: 1.0000e-05 eta: 14:20:18 time: 2.5134 data_time: 0.1202 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0601 loss: 0.1880 2022/08/27 02:55:59 - mmengine - INFO - Epoch(train) [392][40/63] lr: 1.0000e-05 eta: 14:19:31 time: 2.5161 data_time: 0.0988 memory: 28971 loss_text: 0.1071 loss_kernel: 0.0513 loss: 0.1584 2022/08/27 02:56:10 - mmengine - INFO - Epoch(train) [392][45/63] lr: 1.0000e-05 eta: 14:19:31 time: 1.6049 data_time: 0.1156 memory: 28971 loss_text: 0.1049 loss_kernel: 0.0510 loss: 0.1559 2022/08/27 02:56:15 - mmengine - INFO - Epoch(train) [392][50/63] lr: 1.0000e-05 eta: 14:18:39 time: 1.5899 data_time: 0.1192 memory: 28971 loss_text: 0.1036 loss_kernel: 0.0507 loss: 0.1543 2022/08/27 02:56:27 - mmengine - INFO - Epoch(train) [392][55/63] lr: 1.0000e-05 eta: 14:18:39 time: 1.6703 data_time: 0.0836 memory: 28971 loss_text: 0.0982 loss_kernel: 0.0479 loss: 0.1461 2022/08/27 02:56:31 - mmengine - INFO - Epoch(train) [392][60/63] lr: 1.0000e-05 eta: 14:17:48 time: 1.6390 data_time: 0.0960 memory: 28971 loss_text: 0.1658 loss_kernel: 0.0762 loss: 0.2421 2022/08/27 02:56:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 02:58:11 - mmengine - INFO - Epoch(train) [393][5/63] lr: 1.0000e-05 eta: 14:17:48 time: 10.1163 data_time: 8.6316 memory: 28971 loss_text: 0.1717 loss_kernel: 0.0787 loss: 0.2504 2022/08/27 02:58:16 - mmengine - INFO - Epoch(train) [393][10/63] lr: 1.0000e-05 eta: 14:17:23 time: 10.1079 data_time: 8.6542 memory: 28971 loss_text: 0.1433 loss_kernel: 0.0658 loss: 0.2091 2022/08/27 02:58:25 - mmengine - INFO - Epoch(train) [393][15/63] lr: 1.0000e-05 eta: 14:17:23 time: 1.3817 data_time: 0.0572 memory: 28971 loss_text: 0.1116 loss_kernel: 0.0526 loss: 0.1643 2022/08/27 02:58:30 - mmengine - INFO - Epoch(train) [393][20/63] lr: 1.0000e-05 eta: 14:16:31 time: 1.3870 data_time: 0.0642 memory: 28971 loss_text: 0.0974 loss_kernel: 0.0471 loss: 0.1446 2022/08/27 02:58:34 - mmengine - INFO - Epoch(train) [393][25/63] lr: 1.0000e-05 eta: 14:16:31 time: 0.9338 data_time: 0.0570 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0553 loss: 0.1716 2022/08/27 02:58:41 - mmengine - INFO - Epoch(train) [393][30/63] lr: 1.0000e-05 eta: 14:15:37 time: 1.1485 data_time: 0.0274 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0612 loss: 0.1906 2022/08/27 02:58:46 - mmengine - INFO - Epoch(train) [393][35/63] lr: 1.0000e-05 eta: 14:15:37 time: 1.2162 data_time: 0.0485 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0597 loss: 0.1865 2022/08/27 02:58:51 - mmengine - INFO - Epoch(train) [393][40/63] lr: 1.0000e-05 eta: 14:14:42 time: 0.9802 data_time: 0.0574 memory: 28971 loss_text: 0.1313 loss_kernel: 0.0616 loss: 0.1929 2022/08/27 02:58:59 - mmengine - INFO - Epoch(train) [393][45/63] lr: 1.0000e-05 eta: 14:14:42 time: 1.2459 data_time: 0.0749 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0651 loss: 0.2040 2022/08/27 02:59:03 - mmengine - INFO - Epoch(train) [393][50/63] lr: 1.0000e-05 eta: 14:13:48 time: 1.2301 data_time: 0.0845 memory: 28971 loss_text: 0.1588 loss_kernel: 0.0729 loss: 0.2316 2022/08/27 02:59:09 - mmengine - INFO - Epoch(train) [393][55/63] lr: 1.0000e-05 eta: 14:13:48 time: 0.9871 data_time: 0.0337 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0659 loss: 0.2082 2022/08/27 02:59:18 - mmengine - INFO - Epoch(train) [393][60/63] lr: 1.0000e-05 eta: 14:12:56 time: 1.5063 data_time: 0.0576 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0661 loss: 0.2070 2022/08/27 02:59:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:00:59 - mmengine - INFO - Epoch(train) [394][5/63] lr: 1.0000e-05 eta: 14:12:56 time: 10.6258 data_time: 8.6200 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0647 loss: 0.2031 2022/08/27 03:01:04 - mmengine - INFO - Epoch(train) [394][10/63] lr: 1.0000e-05 eta: 14:12:32 time: 10.1506 data_time: 8.6083 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0630 loss: 0.1967 2022/08/27 03:01:18 - mmengine - INFO - Epoch(train) [394][15/63] lr: 1.0000e-05 eta: 14:12:32 time: 1.9352 data_time: 0.1075 memory: 28971 loss_text: 0.1237 loss_kernel: 0.0586 loss: 0.1823 2022/08/27 03:01:23 - mmengine - INFO - Epoch(train) [394][20/63] lr: 1.0000e-05 eta: 14:11:42 time: 1.9108 data_time: 0.1593 memory: 28971 loss_text: 0.1521 loss_kernel: 0.0697 loss: 0.2218 2022/08/27 03:01:40 - mmengine - INFO - Epoch(train) [394][25/63] lr: 1.0000e-05 eta: 14:11:42 time: 2.2458 data_time: 0.0958 memory: 28971 loss_text: 0.1608 loss_kernel: 0.0739 loss: 0.2347 2022/08/27 03:01:45 - mmengine - INFO - Epoch(train) [394][30/63] lr: 1.0000e-05 eta: 14:10:54 time: 2.2038 data_time: 0.0608 memory: 28971 loss_text: 0.1521 loss_kernel: 0.0698 loss: 0.2219 2022/08/27 03:02:01 - mmengine - INFO - Epoch(train) [394][35/63] lr: 1.0000e-05 eta: 14:10:54 time: 2.0625 data_time: 0.0728 memory: 28971 loss_text: 0.1536 loss_kernel: 0.0704 loss: 0.2241 2022/08/27 03:02:06 - mmengine - INFO - Epoch(train) [394][40/63] lr: 1.0000e-05 eta: 14:10:05 time: 2.1507 data_time: 0.0787 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0730 loss: 0.2310 2022/08/27 03:02:25 - mmengine - INFO - Epoch(train) [394][45/63] lr: 1.0000e-05 eta: 14:10:05 time: 2.3799 data_time: 0.1495 memory: 28971 loss_text: 0.1203 loss_kernel: 0.0574 loss: 0.1777 2022/08/27 03:02:30 - mmengine - INFO - Epoch(train) [394][50/63] lr: 1.0000e-05 eta: 14:09:18 time: 2.3682 data_time: 0.1859 memory: 28971 loss_text: 0.1257 loss_kernel: 0.0580 loss: 0.1836 2022/08/27 03:02:49 - mmengine - INFO - Epoch(train) [394][55/63] lr: 1.0000e-05 eta: 14:09:18 time: 2.3496 data_time: 0.1288 memory: 28971 loss_text: 0.1190 loss_kernel: 0.0543 loss: 0.1733 2022/08/27 03:03:08 - mmengine - INFO - Epoch(train) [394][60/63] lr: 1.0000e-05 eta: 14:08:38 time: 3.7574 data_time: 0.2494 memory: 28971 loss_text: 0.1127 loss_kernel: 0.0538 loss: 0.1665 2022/08/27 03:03:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:05:13 - mmengine - INFO - Epoch(train) [395][5/63] lr: 1.0000e-05 eta: 14:08:38 time: 13.0346 data_time: 9.5174 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0546 loss: 0.1680 2022/08/27 03:05:23 - mmengine - INFO - Epoch(train) [395][10/63] lr: 1.0000e-05 eta: 14:08:21 time: 11.7177 data_time: 9.5009 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0539 loss: 0.1689 2022/08/27 03:05:37 - mmengine - INFO - Epoch(train) [395][15/63] lr: 1.0000e-05 eta: 14:08:21 time: 2.3647 data_time: 0.1568 memory: 28971 loss_text: 0.1073 loss_kernel: 0.0514 loss: 0.1587 2022/08/27 03:05:55 - mmengine - INFO - Epoch(train) [395][20/63] lr: 1.0000e-05 eta: 14:07:39 time: 3.2581 data_time: 0.1748 memory: 28971 loss_text: 0.1237 loss_kernel: 0.0588 loss: 0.1826 2022/08/27 03:06:00 - mmengine - INFO - Epoch(train) [395][25/63] lr: 1.0000e-05 eta: 14:07:39 time: 2.3487 data_time: 0.1594 memory: 28971 loss_text: 0.1112 loss_kernel: 0.0532 loss: 0.1645 2022/08/27 03:06:18 - mmengine - INFO - Epoch(train) [395][30/63] lr: 1.0000e-05 eta: 14:06:51 time: 2.2515 data_time: 0.1480 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0595 loss: 0.1868 2022/08/27 03:06:22 - mmengine - INFO - Epoch(train) [395][35/63] lr: 1.0000e-05 eta: 14:06:51 time: 2.2007 data_time: 0.1205 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0654 loss: 0.2067 2022/08/27 03:06:44 - mmengine - INFO - Epoch(train) [395][40/63] lr: 1.0000e-05 eta: 14:06:05 time: 2.6048 data_time: 0.0691 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0612 loss: 0.1890 2022/08/27 03:06:49 - mmengine - INFO - Epoch(train) [395][45/63] lr: 1.0000e-05 eta: 14:06:05 time: 2.6108 data_time: 0.0630 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0570 loss: 0.1770 2022/08/27 03:07:09 - mmengine - INFO - Epoch(train) [395][50/63] lr: 1.0000e-05 eta: 14:05:18 time: 2.5550 data_time: 0.1384 memory: 28971 loss_text: 0.1055 loss_kernel: 0.0492 loss: 0.1548 2022/08/27 03:07:14 - mmengine - INFO - Epoch(train) [395][55/63] lr: 1.0000e-05 eta: 14:05:18 time: 2.5782 data_time: 0.1147 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0598 loss: 0.1894 2022/08/27 03:07:35 - mmengine - INFO - Epoch(train) [395][60/63] lr: 1.0000e-05 eta: 14:04:32 time: 2.5454 data_time: 0.1555 memory: 28971 loss_text: 0.1624 loss_kernel: 0.0741 loss: 0.2364 2022/08/27 03:07:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:09:32 - mmengine - INFO - Epoch(train) [396][5/63] lr: 1.0000e-05 eta: 14:04:32 time: 11.8081 data_time: 9.6348 memory: 28971 loss_text: 0.1877 loss_kernel: 0.0839 loss: 0.2716 2022/08/27 03:09:36 - mmengine - INFO - Epoch(train) [396][10/63] lr: 1.0000e-05 eta: 14:04:15 time: 11.6827 data_time: 9.6185 memory: 28971 loss_text: 0.1694 loss_kernel: 0.0770 loss: 0.2464 2022/08/27 03:09:54 - mmengine - INFO - Epoch(train) [396][15/63] lr: 1.0000e-05 eta: 14:04:15 time: 2.2195 data_time: 0.1393 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0636 loss: 0.1996 2022/08/27 03:09:59 - mmengine - INFO - Epoch(train) [396][20/63] lr: 1.0000e-05 eta: 14:03:27 time: 2.2602 data_time: 0.1539 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0650 loss: 0.2037 2022/08/27 03:10:14 - mmengine - INFO - Epoch(train) [396][25/63] lr: 1.0000e-05 eta: 14:03:27 time: 2.0349 data_time: 0.1433 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0602 loss: 0.1868 2022/08/27 03:10:35 - mmengine - INFO - Epoch(train) [396][30/63] lr: 1.0000e-05 eta: 14:02:46 time: 3.6499 data_time: 0.1835 memory: 28971 loss_text: 0.1116 loss_kernel: 0.0536 loss: 0.1652 2022/08/27 03:10:40 - mmengine - INFO - Epoch(train) [396][35/63] lr: 1.0000e-05 eta: 14:02:46 time: 2.6070 data_time: 0.1558 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0595 loss: 0.1843 2022/08/27 03:10:45 - mmengine - INFO - Epoch(train) [396][40/63] lr: 1.0000e-05 eta: 14:01:52 time: 0.9404 data_time: 0.0783 memory: 28971 loss_text: 0.1526 loss_kernel: 0.0720 loss: 0.2245 2022/08/27 03:10:59 - mmengine - INFO - Epoch(train) [396][45/63] lr: 1.0000e-05 eta: 14:01:52 time: 1.8421 data_time: 0.2629 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0633 loss: 0.2003 2022/08/27 03:11:04 - mmengine - INFO - Epoch(train) [396][50/63] lr: 1.0000e-05 eta: 14:01:02 time: 1.9093 data_time: 0.3027 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0566 loss: 0.1812 2022/08/27 03:11:23 - mmengine - INFO - Epoch(train) [396][55/63] lr: 1.0000e-05 eta: 14:01:02 time: 2.3875 data_time: 0.1073 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0572 loss: 0.1791 2022/08/27 03:11:29 - mmengine - INFO - Epoch(train) [396][60/63] lr: 1.0000e-05 eta: 14:00:16 time: 2.4823 data_time: 0.1321 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0599 loss: 0.1873 2022/08/27 03:11:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:13:28 - mmengine - INFO - Epoch(train) [397][5/63] lr: 1.0000e-05 eta: 14:00:16 time: 12.0526 data_time: 9.0503 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0669 loss: 0.2134 2022/08/27 03:13:33 - mmengine - INFO - Epoch(train) [397][10/63] lr: 1.0000e-05 eta: 13:59:53 time: 10.6961 data_time: 9.0741 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0538 loss: 0.1682 2022/08/27 03:13:51 - mmengine - INFO - Epoch(train) [397][15/63] lr: 1.0000e-05 eta: 13:59:53 time: 2.2500 data_time: 0.0679 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0626 loss: 0.1963 2022/08/27 03:13:56 - mmengine - INFO - Epoch(train) [397][20/63] lr: 1.0000e-05 eta: 13:59:06 time: 2.2501 data_time: 0.0717 memory: 28971 loss_text: 0.1184 loss_kernel: 0.0559 loss: 0.1743 2022/08/27 03:14:13 - mmengine - INFO - Epoch(train) [397][25/63] lr: 1.0000e-05 eta: 13:59:06 time: 2.1998 data_time: 0.1144 memory: 28971 loss_text: 0.0972 loss_kernel: 0.0477 loss: 0.1449 2022/08/27 03:14:18 - mmengine - INFO - Epoch(train) [397][30/63] lr: 1.0000e-05 eta: 13:58:17 time: 2.1660 data_time: 0.1116 memory: 28971 loss_text: 0.1190 loss_kernel: 0.0571 loss: 0.1761 2022/08/27 03:14:37 - mmengine - INFO - Epoch(train) [397][35/63] lr: 1.0000e-05 eta: 13:58:17 time: 2.3656 data_time: 0.0766 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0579 loss: 0.1797 2022/08/27 03:14:41 - mmengine - INFO - Epoch(train) [397][40/63] lr: 1.0000e-05 eta: 13:57:30 time: 2.3609 data_time: 0.0936 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0575 loss: 0.1783 2022/08/27 03:14:57 - mmengine - INFO - Epoch(train) [397][45/63] lr: 1.0000e-05 eta: 13:57:30 time: 2.0148 data_time: 0.0918 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0657 loss: 0.2076 2022/08/27 03:15:02 - mmengine - INFO - Epoch(train) [397][50/63] lr: 1.0000e-05 eta: 13:56:41 time: 2.0807 data_time: 0.0782 memory: 28971 loss_text: 0.1499 loss_kernel: 0.0688 loss: 0.2187 2022/08/27 03:15:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:15:17 - mmengine - INFO - Epoch(train) [397][55/63] lr: 1.0000e-05 eta: 13:56:41 time: 2.0000 data_time: 0.0937 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0593 loss: 0.1843 2022/08/27 03:15:23 - mmengine - INFO - Epoch(train) [397][60/63] lr: 1.0000e-05 eta: 13:55:52 time: 2.0327 data_time: 0.1536 memory: 28971 loss_text: 0.1003 loss_kernel: 0.0497 loss: 0.1500 2022/08/27 03:15:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:17:31 - mmengine - INFO - Epoch(train) [398][5/63] lr: 1.0000e-05 eta: 13:55:52 time: 12.9510 data_time: 9.5662 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0617 loss: 0.1957 2022/08/27 03:17:49 - mmengine - INFO - Epoch(train) [398][10/63] lr: 1.0000e-05 eta: 13:55:43 time: 13.1660 data_time: 9.5600 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0581 loss: 0.1801 2022/08/27 03:17:58 - mmengine - INFO - Epoch(train) [398][15/63] lr: 1.0000e-05 eta: 13:55:43 time: 2.7840 data_time: 0.1104 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0567 loss: 0.1758 2022/08/27 03:18:03 - mmengine - INFO - Epoch(train) [398][20/63] lr: 1.0000e-05 eta: 13:54:51 time: 1.4153 data_time: 0.0961 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0629 loss: 0.1990 2022/08/27 03:18:19 - mmengine - INFO - Epoch(train) [398][25/63] lr: 1.0000e-05 eta: 13:54:51 time: 2.0940 data_time: 0.0607 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0602 loss: 0.1919 2022/08/27 03:18:24 - mmengine - INFO - Epoch(train) [398][30/63] lr: 1.0000e-05 eta: 13:54:02 time: 2.0829 data_time: 0.0617 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0687 loss: 0.2190 2022/08/27 03:18:40 - mmengine - INFO - Epoch(train) [398][35/63] lr: 1.0000e-05 eta: 13:54:02 time: 2.0501 data_time: 0.1013 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0618 loss: 0.1935 2022/08/27 03:18:51 - mmengine - INFO - Epoch(train) [398][40/63] lr: 1.0000e-05 eta: 13:53:17 time: 2.7144 data_time: 0.1553 memory: 28971 loss_text: 0.1097 loss_kernel: 0.0517 loss: 0.1613 2022/08/27 03:19:04 - mmengine - INFO - Epoch(train) [398][45/63] lr: 1.0000e-05 eta: 13:53:17 time: 2.3940 data_time: 0.2297 memory: 28971 loss_text: 0.1016 loss_kernel: 0.0486 loss: 0.1502 2022/08/27 03:19:20 - mmengine - INFO - Epoch(train) [398][50/63] lr: 1.0000e-05 eta: 13:52:32 time: 2.9238 data_time: 0.2831 memory: 28971 loss_text: 0.1224 loss_kernel: 0.0579 loss: 0.1804 2022/08/27 03:19:32 - mmengine - INFO - Epoch(train) [398][55/63] lr: 1.0000e-05 eta: 13:52:32 time: 2.6555 data_time: 0.1529 memory: 28971 loss_text: 0.1525 loss_kernel: 0.0705 loss: 0.2230 2022/08/27 03:19:59 - mmengine - INFO - Epoch(train) [398][60/63] lr: 1.0000e-05 eta: 13:51:53 time: 3.8627 data_time: 0.5640 memory: 28971 loss_text: 0.1141 loss_kernel: 0.0548 loss: 0.1688 2022/08/27 03:20:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:22:08 - mmengine - INFO - Epoch(train) [399][5/63] lr: 1.0000e-05 eta: 13:51:53 time: 14.6262 data_time: 9.9183 memory: 28971 loss_text: 0.1619 loss_kernel: 0.0731 loss: 0.2350 2022/08/27 03:22:28 - mmengine - INFO - Epoch(train) [399][10/63] lr: 1.0000e-05 eta: 13:51:45 time: 13.6018 data_time: 9.9902 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0693 loss: 0.2194 2022/08/27 03:22:33 - mmengine - INFO - Epoch(train) [399][15/63] lr: 1.0000e-05 eta: 13:51:45 time: 2.5520 data_time: 0.2729 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0613 loss: 0.1920 2022/08/27 03:22:51 - mmengine - INFO - Epoch(train) [399][20/63] lr: 1.0000e-05 eta: 13:50:58 time: 2.2886 data_time: 0.0901 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0649 loss: 0.2000 2022/08/27 03:23:02 - mmengine - INFO - Epoch(train) [399][25/63] lr: 1.0000e-05 eta: 13:50:58 time: 2.8693 data_time: 0.1379 memory: 28971 loss_text: 0.1252 loss_kernel: 0.0608 loss: 0.1860 2022/08/27 03:23:07 - mmengine - INFO - Epoch(train) [399][30/63] lr: 1.0000e-05 eta: 13:50:06 time: 1.5539 data_time: 0.1146 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0687 loss: 0.2172 2022/08/27 03:23:26 - mmengine - INFO - Epoch(train) [399][35/63] lr: 1.0000e-05 eta: 13:50:06 time: 2.3504 data_time: 0.0864 memory: 28971 loss_text: 0.1791 loss_kernel: 0.0820 loss: 0.2611 2022/08/27 03:23:30 - mmengine - INFO - Epoch(train) [399][40/63] lr: 1.0000e-05 eta: 13:49:19 time: 2.3288 data_time: 0.0914 memory: 28971 loss_text: 0.1660 loss_kernel: 0.0766 loss: 0.2427 2022/08/27 03:23:34 - mmengine - INFO - Epoch(train) [399][45/63] lr: 1.0000e-05 eta: 13:49:19 time: 0.9034 data_time: 0.0698 memory: 28971 loss_text: 0.1448 loss_kernel: 0.0655 loss: 0.2103 2022/08/27 03:23:51 - mmengine - INFO - Epoch(train) [399][50/63] lr: 1.0000e-05 eta: 13:48:30 time: 2.0357 data_time: 0.1146 memory: 28971 loss_text: 0.1425 loss_kernel: 0.0645 loss: 0.2070 2022/08/27 03:24:07 - mmengine - INFO - Epoch(train) [399][55/63] lr: 1.0000e-05 eta: 13:48:30 time: 3.1908 data_time: 0.1307 memory: 28971 loss_text: 0.1096 loss_kernel: 0.0518 loss: 0.1613 2022/08/27 03:24:25 - mmengine - INFO - Epoch(train) [399][60/63] lr: 1.0000e-05 eta: 13:47:48 time: 3.4110 data_time: 0.2894 memory: 28971 loss_text: 0.0953 loss_kernel: 0.0459 loss: 0.1412 2022/08/27 03:24:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:26:28 - mmengine - INFO - Epoch(train) [400][5/63] lr: 1.0000e-05 eta: 13:47:48 time: 13.4751 data_time: 9.7110 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0575 loss: 0.1794 2022/08/27 03:26:34 - mmengine - INFO - Epoch(train) [400][10/63] lr: 1.0000e-05 eta: 13:47:30 time: 11.6078 data_time: 9.6468 memory: 28971 loss_text: 0.1062 loss_kernel: 0.0510 loss: 0.1572 2022/08/27 03:26:52 - mmengine - INFO - Epoch(train) [400][15/63] lr: 1.0000e-05 eta: 13:47:30 time: 2.3796 data_time: 0.0848 memory: 28971 loss_text: 0.0969 loss_kernel: 0.0470 loss: 0.1440 2022/08/27 03:26:57 - mmengine - INFO - Epoch(train) [400][20/63] lr: 1.0000e-05 eta: 13:46:43 time: 2.2878 data_time: 0.0895 memory: 28971 loss_text: 0.0919 loss_kernel: 0.0443 loss: 0.1363 2022/08/27 03:27:14 - mmengine - INFO - Epoch(train) [400][25/63] lr: 1.0000e-05 eta: 13:46:43 time: 2.2449 data_time: 0.1066 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0537 loss: 0.1672 2022/08/27 03:27:19 - mmengine - INFO - Epoch(train) [400][30/63] lr: 1.0000e-05 eta: 13:45:55 time: 2.2174 data_time: 0.0715 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0611 loss: 0.1908 2022/08/27 03:27:37 - mmengine - INFO - Epoch(train) [400][35/63] lr: 1.0000e-05 eta: 13:45:55 time: 2.2684 data_time: 0.0886 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0666 loss: 0.2098 2022/08/27 03:27:42 - mmengine - INFO - Epoch(train) [400][40/63] lr: 1.0000e-05 eta: 13:45:08 time: 2.2712 data_time: 0.0922 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0685 loss: 0.2176 2022/08/27 03:27:58 - mmengine - INFO - Epoch(train) [400][45/63] lr: 1.0000e-05 eta: 13:45:08 time: 2.1226 data_time: 0.1465 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0625 loss: 0.1972 2022/08/27 03:28:03 - mmengine - INFO - Epoch(train) [400][50/63] lr: 1.0000e-05 eta: 13:44:19 time: 2.1253 data_time: 0.1346 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0695 loss: 0.2201 2022/08/27 03:28:22 - mmengine - INFO - Epoch(train) [400][55/63] lr: 1.0000e-05 eta: 13:44:19 time: 2.3361 data_time: 0.0526 memory: 28971 loss_text: 0.1668 loss_kernel: 0.0757 loss: 0.2425 2022/08/27 03:28:28 - mmengine - INFO - Epoch(train) [400][60/63] lr: 1.0000e-05 eta: 13:43:33 time: 2.5304 data_time: 0.1402 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0687 loss: 0.2188 2022/08/27 03:28:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:28:44 - mmengine - INFO - Saving checkpoint at 400 epochs 2022/08/27 03:29:30 - mmengine - INFO - Epoch(val) [400][5/500] eta: 13:43:33 time: 3.7227 data_time: 2.7707 memory: 28971 2022/08/27 03:29:31 - mmengine - INFO - Epoch(val) [400][10/500] eta: 0:30:58 time: 3.7934 data_time: 2.8399 memory: 3207 2022/08/27 03:29:31 - mmengine - INFO - Epoch(val) [400][15/500] eta: 0:30:58 time: 0.1729 data_time: 0.0719 memory: 3207 2022/08/27 03:29:32 - mmengine - INFO - Epoch(val) [400][20/500] eta: 0:00:50 time: 0.1047 data_time: 0.0031 memory: 3207 2022/08/27 03:29:32 - mmengine - INFO - Epoch(val) [400][25/500] eta: 0:00:50 time: 0.0850 data_time: 0.0030 memory: 3207 2022/08/27 03:29:33 - mmengine - INFO - Epoch(val) [400][30/500] eta: 0:00:44 time: 0.0957 data_time: 0.0028 memory: 3207 2022/08/27 03:29:33 - mmengine - INFO - Epoch(val) [400][35/500] eta: 0:00:44 time: 0.0969 data_time: 0.0029 memory: 3207 2022/08/27 03:29:34 - mmengine - INFO - Epoch(val) [400][40/500] eta: 0:00:41 time: 0.0900 data_time: 0.0028 memory: 3207 2022/08/27 03:29:34 - mmengine - INFO - Epoch(val) [400][45/500] eta: 0:00:41 time: 0.0891 data_time: 0.0026 memory: 3207 2022/08/27 03:29:35 - mmengine - INFO - Epoch(val) [400][50/500] eta: 0:00:37 time: 0.0844 data_time: 0.0025 memory: 3207 2022/08/27 03:29:35 - mmengine - INFO - Epoch(val) [400][55/500] eta: 0:00:37 time: 0.1030 data_time: 0.0025 memory: 3207 2022/08/27 03:29:36 - mmengine - INFO - Epoch(val) [400][60/500] eta: 0:00:44 time: 0.1012 data_time: 0.0025 memory: 3207 2022/08/27 03:29:36 - mmengine - INFO - Epoch(val) [400][65/500] eta: 0:00:44 time: 0.0945 data_time: 0.0127 memory: 3207 2022/08/27 03:29:37 - mmengine - INFO - Epoch(val) [400][70/500] eta: 0:00:42 time: 0.0982 data_time: 0.0127 memory: 3207 2022/08/27 03:29:37 - mmengine - INFO - Epoch(val) [400][75/500] eta: 0:00:42 time: 0.0853 data_time: 0.0026 memory: 3207 2022/08/27 03:29:37 - mmengine - INFO - Epoch(val) [400][80/500] eta: 0:00:34 time: 0.0812 data_time: 0.0025 memory: 3207 2022/08/27 03:29:38 - mmengine - INFO - Epoch(val) [400][85/500] eta: 0:00:34 time: 0.0783 data_time: 0.0025 memory: 3207 2022/08/27 03:29:38 - mmengine - INFO - Epoch(val) [400][90/500] eta: 0:00:43 time: 0.1050 data_time: 0.0025 memory: 3207 2022/08/27 03:29:39 - mmengine - INFO - Epoch(val) [400][95/500] eta: 0:00:43 time: 0.1649 data_time: 0.0032 memory: 3207 2022/08/27 03:29:50 - mmengine - INFO - Epoch(val) [400][100/500] eta: 0:07:24 time: 1.1113 data_time: 0.2403 memory: 3207 2022/08/27 03:29:51 - mmengine - INFO - Epoch(val) [400][105/500] eta: 0:07:24 time: 1.1775 data_time: 0.3026 memory: 3207 2022/08/27 03:29:52 - mmengine - INFO - Epoch(val) [400][110/500] eta: 0:01:24 time: 0.2154 data_time: 0.0670 memory: 3207 2022/08/27 03:29:52 - mmengine - INFO - Epoch(val) [400][115/500] eta: 0:01:24 time: 0.0925 data_time: 0.0043 memory: 3207 2022/08/27 03:29:53 - mmengine - INFO - Epoch(val) [400][120/500] eta: 0:00:32 time: 0.0850 data_time: 0.0028 memory: 3207 2022/08/27 03:29:53 - mmengine - INFO - Epoch(val) [400][125/500] eta: 0:00:32 time: 0.0841 data_time: 0.0025 memory: 3207 2022/08/27 03:29:54 - mmengine - INFO - Epoch(val) [400][130/500] eta: 0:00:34 time: 0.0944 data_time: 0.0025 memory: 3207 2022/08/27 03:29:54 - mmengine - INFO - Epoch(val) [400][135/500] eta: 0:00:34 time: 0.1134 data_time: 0.0025 memory: 3207 2022/08/27 03:29:55 - mmengine - INFO - Epoch(val) [400][140/500] eta: 0:00:36 time: 0.1017 data_time: 0.0025 memory: 3207 2022/08/27 03:29:55 - mmengine - INFO - Epoch(val) [400][145/500] eta: 0:00:36 time: 0.0860 data_time: 0.0025 memory: 3207 2022/08/27 03:29:55 - mmengine - INFO - Epoch(val) [400][150/500] eta: 0:00:30 time: 0.0877 data_time: 0.0027 memory: 3207 2022/08/27 03:29:56 - mmengine - INFO - Epoch(val) [400][155/500] eta: 0:00:30 time: 0.0927 data_time: 0.0028 memory: 3207 2022/08/27 03:29:56 - mmengine - INFO - Epoch(val) [400][160/500] eta: 0:00:31 time: 0.0932 data_time: 0.0028 memory: 3207 2022/08/27 03:29:57 - mmengine - INFO - Epoch(val) [400][165/500] eta: 0:00:31 time: 0.0874 data_time: 0.0028 memory: 3207 2022/08/27 03:29:57 - mmengine - INFO - Epoch(val) [400][170/500] eta: 0:00:28 time: 0.0870 data_time: 0.0030 memory: 3207 2022/08/27 03:29:58 - mmengine - INFO - Epoch(val) [400][175/500] eta: 0:00:28 time: 0.0838 data_time: 0.0030 memory: 3207 2022/08/27 03:29:58 - mmengine - INFO - Epoch(val) [400][180/500] eta: 0:00:26 time: 0.0829 data_time: 0.0028 memory: 3207 2022/08/27 03:29:59 - mmengine - INFO - Epoch(val) [400][185/500] eta: 0:00:26 time: 0.0879 data_time: 0.0028 memory: 3207 2022/08/27 03:29:59 - mmengine - INFO - Epoch(val) [400][190/500] eta: 0:00:27 time: 0.0886 data_time: 0.0029 memory: 3207 2022/08/27 03:29:59 - mmengine - INFO - Epoch(val) [400][195/500] eta: 0:00:27 time: 0.0842 data_time: 0.0029 memory: 3207 2022/08/27 03:30:10 - mmengine - INFO - Epoch(val) [400][200/500] eta: 0:05:19 time: 1.0646 data_time: 0.2099 memory: 3207 2022/08/27 03:30:11 - mmengine - INFO - Epoch(val) [400][205/500] eta: 0:05:19 time: 1.1203 data_time: 0.2224 memory: 3207 2022/08/27 03:30:11 - mmengine - INFO - Epoch(val) [400][210/500] eta: 0:00:44 time: 0.1518 data_time: 0.0298 memory: 3207 2022/08/27 03:30:12 - mmengine - INFO - Epoch(val) [400][215/500] eta: 0:00:44 time: 0.1224 data_time: 0.0172 memory: 3207 2022/08/27 03:30:12 - mmengine - INFO - Epoch(val) [400][220/500] eta: 0:00:31 time: 0.1113 data_time: 0.0025 memory: 3207 2022/08/27 03:30:13 - mmengine - INFO - Epoch(val) [400][225/500] eta: 0:00:31 time: 0.1089 data_time: 0.0239 memory: 3207 2022/08/27 03:30:13 - mmengine - INFO - Epoch(val) [400][230/500] eta: 0:00:28 time: 0.1045 data_time: 0.0239 memory: 3207 2022/08/27 03:30:14 - mmengine - INFO - Epoch(val) [400][235/500] eta: 0:00:28 time: 0.0823 data_time: 0.0026 memory: 3207 2022/08/27 03:30:14 - mmengine - INFO - Epoch(val) [400][240/500] eta: 0:00:22 time: 0.0867 data_time: 0.0027 memory: 3207 2022/08/27 03:30:15 - mmengine - INFO - Epoch(val) [400][245/500] eta: 0:00:22 time: 0.1037 data_time: 0.0026 memory: 3207 2022/08/27 03:30:15 - mmengine - INFO - Epoch(val) [400][250/500] eta: 0:00:29 time: 0.1168 data_time: 0.0127 memory: 3207 2022/08/27 03:30:16 - mmengine - INFO - Epoch(val) [400][255/500] eta: 0:00:29 time: 0.0973 data_time: 0.0128 memory: 3207 2022/08/27 03:30:16 - mmengine - INFO - Epoch(val) [400][260/500] eta: 0:00:20 time: 0.0871 data_time: 0.0046 memory: 3207 2022/08/27 03:30:17 - mmengine - INFO - Epoch(val) [400][265/500] eta: 0:00:20 time: 0.0877 data_time: 0.0046 memory: 3207 2022/08/27 03:30:17 - mmengine - INFO - Epoch(val) [400][270/500] eta: 0:00:18 time: 0.0823 data_time: 0.0025 memory: 3207 2022/08/27 03:30:17 - mmengine - INFO - Epoch(val) [400][275/500] eta: 0:00:18 time: 0.0812 data_time: 0.0025 memory: 3207 2022/08/27 03:30:18 - mmengine - INFO - Epoch(val) [400][280/500] eta: 0:00:18 time: 0.0839 data_time: 0.0026 memory: 3207 2022/08/27 03:30:18 - mmengine - INFO - Epoch(val) [400][285/500] eta: 0:00:18 time: 0.0840 data_time: 0.0026 memory: 3207 2022/08/27 03:30:19 - mmengine - INFO - Epoch(val) [400][290/500] eta: 0:00:17 time: 0.0842 data_time: 0.0026 memory: 3207 2022/08/27 03:30:19 - mmengine - INFO - Epoch(val) [400][295/500] eta: 0:00:17 time: 0.0862 data_time: 0.0026 memory: 3207 2022/08/27 03:30:20 - mmengine - INFO - Epoch(val) [400][300/500] eta: 0:00:16 time: 0.0834 data_time: 0.0025 memory: 3207 2022/08/27 03:30:30 - mmengine - INFO - Epoch(val) [400][305/500] eta: 0:00:16 time: 1.0476 data_time: 0.0995 memory: 3207 2022/08/27 03:30:30 - mmengine - INFO - Epoch(val) [400][310/500] eta: 0:03:24 time: 1.0769 data_time: 0.1295 memory: 3207 2022/08/27 03:30:31 - mmengine - INFO - Epoch(val) [400][315/500] eta: 0:03:24 time: 0.1212 data_time: 0.0324 memory: 3207 2022/08/27 03:30:31 - mmengine - INFO - Epoch(val) [400][320/500] eta: 0:00:20 time: 0.1156 data_time: 0.0273 memory: 3207 2022/08/27 03:30:32 - mmengine - INFO - Epoch(val) [400][325/500] eta: 0:00:20 time: 0.1227 data_time: 0.0285 memory: 3207 2022/08/27 03:30:32 - mmengine - INFO - Epoch(val) [400][330/500] eta: 0:00:16 time: 0.0982 data_time: 0.0037 memory: 3207 2022/08/27 03:30:33 - mmengine - INFO - Epoch(val) [400][335/500] eta: 0:00:16 time: 0.0923 data_time: 0.0143 memory: 3207 2022/08/27 03:30:34 - mmengine - INFO - Epoch(val) [400][340/500] eta: 0:00:18 time: 0.1144 data_time: 0.0155 memory: 3207 2022/08/27 03:30:34 - mmengine - INFO - Epoch(val) [400][345/500] eta: 0:00:18 time: 0.1075 data_time: 0.0037 memory: 3207 2022/08/27 03:30:35 - mmengine - INFO - Epoch(val) [400][350/500] eta: 0:00:13 time: 0.0927 data_time: 0.0028 memory: 3207 2022/08/27 03:30:35 - mmengine - INFO - Epoch(val) [400][355/500] eta: 0:00:13 time: 0.0890 data_time: 0.0028 memory: 3207 2022/08/27 03:30:35 - mmengine - INFO - Epoch(val) [400][360/500] eta: 0:00:13 time: 0.0933 data_time: 0.0028 memory: 3207 2022/08/27 03:30:36 - mmengine - INFO - Epoch(val) [400][365/500] eta: 0:00:13 time: 0.0948 data_time: 0.0033 memory: 3207 2022/08/27 03:30:36 - mmengine - INFO - Epoch(val) [400][370/500] eta: 0:00:10 time: 0.0828 data_time: 0.0032 memory: 3207 2022/08/27 03:30:37 - mmengine - INFO - Epoch(val) [400][375/500] eta: 0:00:10 time: 0.0802 data_time: 0.0026 memory: 3207 2022/08/27 03:30:37 - mmengine - INFO - Epoch(val) [400][380/500] eta: 0:00:09 time: 0.0832 data_time: 0.0026 memory: 3207 2022/08/27 03:30:39 - mmengine - INFO - Epoch(val) [400][385/500] eta: 0:00:09 time: 0.2688 data_time: 0.0443 memory: 3207 2022/08/27 03:30:49 - mmengine - INFO - Epoch(val) [400][390/500] eta: 0:02:14 time: 1.2272 data_time: 0.1149 memory: 3207 2022/08/27 03:30:50 - mmengine - INFO - Epoch(val) [400][395/500] eta: 0:02:14 time: 1.0782 data_time: 0.0792 memory: 3207 2022/08/27 03:30:51 - mmengine - INFO - Epoch(val) [400][400/500] eta: 0:00:12 time: 0.1220 data_time: 0.0111 memory: 3207 2022/08/27 03:30:51 - mmengine - INFO - Epoch(val) [400][405/500] eta: 0:00:12 time: 0.1099 data_time: 0.0276 memory: 3207 2022/08/27 03:30:52 - mmengine - INFO - Epoch(val) [400][410/500] eta: 0:00:09 time: 0.1070 data_time: 0.0250 memory: 3207 2022/08/27 03:30:52 - mmengine - INFO - Epoch(val) [400][415/500] eta: 0:00:09 time: 0.0889 data_time: 0.0069 memory: 3207 2022/08/27 03:30:53 - mmengine - INFO - Epoch(val) [400][420/500] eta: 0:00:06 time: 0.0850 data_time: 0.0069 memory: 3207 2022/08/27 03:30:53 - mmengine - INFO - Epoch(val) [400][425/500] eta: 0:00:06 time: 0.0788 data_time: 0.0025 memory: 3207 2022/08/27 03:30:54 - mmengine - INFO - Epoch(val) [400][430/500] eta: 0:00:06 time: 0.0939 data_time: 0.0024 memory: 3207 2022/08/27 03:30:54 - mmengine - INFO - Epoch(val) [400][435/500] eta: 0:00:06 time: 0.1278 data_time: 0.0213 memory: 3207 2022/08/27 03:30:55 - mmengine - INFO - Epoch(val) [400][440/500] eta: 0:00:07 time: 0.1219 data_time: 0.0213 memory: 3207 2022/08/27 03:30:55 - mmengine - INFO - Epoch(val) [400][445/500] eta: 0:00:07 time: 0.0917 data_time: 0.0025 memory: 3207 2022/08/27 03:30:56 - mmengine - INFO - Epoch(val) [400][450/500] eta: 0:00:04 time: 0.0864 data_time: 0.0026 memory: 3207 2022/08/27 03:30:56 - mmengine - INFO - Epoch(val) [400][455/500] eta: 0:00:04 time: 0.0999 data_time: 0.0026 memory: 3207 2022/08/27 03:30:57 - mmengine - INFO - Epoch(val) [400][460/500] eta: 0:00:03 time: 0.0964 data_time: 0.0025 memory: 3207 2022/08/27 03:30:57 - mmengine - INFO - Epoch(val) [400][465/500] eta: 0:00:03 time: 0.0789 data_time: 0.0024 memory: 3207 2022/08/27 03:30:57 - mmengine - INFO - Epoch(val) [400][470/500] eta: 0:00:02 time: 0.0802 data_time: 0.0025 memory: 3207 2022/08/27 03:30:58 - mmengine - INFO - Epoch(val) [400][475/500] eta: 0:00:02 time: 0.0800 data_time: 0.0025 memory: 3207 2022/08/27 03:30:58 - mmengine - INFO - Epoch(val) [400][480/500] eta: 0:00:01 time: 0.0814 data_time: 0.0025 memory: 3207 2022/08/27 03:30:59 - mmengine - INFO - Epoch(val) [400][485/500] eta: 0:00:01 time: 0.0818 data_time: 0.0025 memory: 3207 2022/08/27 03:30:59 - mmengine - INFO - Epoch(val) [400][490/500] eta: 0:00:00 time: 0.0831 data_time: 0.0025 memory: 3207 2022/08/27 03:30:59 - mmengine - INFO - Epoch(val) [400][495/500] eta: 0:00:00 time: 0.0870 data_time: 0.0025 memory: 3207 2022/08/27 03:31:10 - mmengine - INFO - Epoch(val) [400][500/500] eta: 0:00:00 time: 1.0896 data_time: 0.0226 memory: 3207 2022/08/27 03:31:10 - mmengine - INFO - Evaluating hmean-iou... 2022/08/27 03:31:10 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7752, precision: 0.6547, hmean: 0.7099 2022/08/27 03:31:10 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7752, precision: 0.6547, hmean: 0.7099 2022/08/27 03:31:10 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7752, precision: 0.6547, hmean: 0.7099 2022/08/27 03:31:10 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7752, precision: 0.6869, hmean: 0.7283 2022/08/27 03:31:10 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7752, precision: 0.7305, hmean: 0.7522 2022/08/27 03:31:10 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7732, precision: 0.7796, hmean: 0.7764 2022/08/27 03:31:10 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7545, precision: 0.8371, hmean: 0.7936 2022/08/27 03:31:10 - mmengine - INFO - Epoch(val) [400][500/500] icdar/precision: 0.8371 icdar/recall: 0.7545 icdar/hmean: 0.7936 2022/08/27 03:32:59 - mmengine - INFO - Epoch(train) [401][5/63] lr: 1.0000e-06 eta: 0:00:00 time: 12.5031 data_time: 9.5173 memory: 28971 loss_text: 0.1645 loss_kernel: 0.0731 loss: 0.2376 2022/08/27 03:33:04 - mmengine - INFO - Epoch(train) [401][10/63] lr: 1.0000e-06 eta: 13:43:14 time: 11.3947 data_time: 9.5556 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0641 loss: 0.2032 2022/08/27 03:33:21 - mmengine - INFO - Epoch(train) [401][15/63] lr: 1.0000e-06 eta: 13:43:14 time: 2.2329 data_time: 0.1550 memory: 28971 loss_text: 0.1097 loss_kernel: 0.0529 loss: 0.1625 2022/08/27 03:33:34 - mmengine - INFO - Epoch(train) [401][20/63] lr: 1.0000e-06 eta: 13:42:29 time: 2.8924 data_time: 0.1466 memory: 28971 loss_text: 0.1302 loss_kernel: 0.0612 loss: 0.1914 2022/08/27 03:33:46 - mmengine - INFO - Epoch(train) [401][25/63] lr: 1.0000e-06 eta: 13:42:29 time: 2.4814 data_time: 0.2337 memory: 28971 loss_text: 0.1318 loss_kernel: 0.0621 loss: 0.1938 2022/08/27 03:34:02 - mmengine - INFO - Epoch(train) [401][30/63] lr: 1.0000e-06 eta: 13:41:44 time: 2.7462 data_time: 0.2000 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0683 loss: 0.2176 2022/08/27 03:34:12 - mmengine - INFO - Epoch(train) [401][35/63] lr: 1.0000e-06 eta: 13:41:44 time: 2.6040 data_time: 0.2377 memory: 28971 loss_text: 0.1537 loss_kernel: 0.0700 loss: 0.2237 2022/08/27 03:34:30 - mmengine - INFO - Epoch(train) [401][40/63] lr: 1.0000e-06 eta: 13:41:00 time: 2.9640 data_time: 0.2606 memory: 28971 loss_text: 0.1346 loss_kernel: 0.0616 loss: 0.1961 2022/08/27 03:34:36 - mmengine - INFO - Epoch(train) [401][45/63] lr: 1.0000e-06 eta: 13:41:00 time: 2.3852 data_time: 0.1297 memory: 28971 loss_text: 0.1477 loss_kernel: 0.0666 loss: 0.2143 2022/08/27 03:34:52 - mmengine - INFO - Epoch(train) [401][50/63] lr: 1.0000e-06 eta: 13:40:12 time: 2.1501 data_time: 0.3522 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0644 loss: 0.2031 2022/08/27 03:35:14 - mmengine - INFO - Epoch(train) [401][55/63] lr: 1.0000e-06 eta: 13:40:12 time: 3.7619 data_time: 0.3507 memory: 28971 loss_text: 0.1527 loss_kernel: 0.0706 loss: 0.2233 2022/08/27 03:35:20 - mmengine - INFO - Epoch(train) [401][60/63] lr: 1.0000e-06 eta: 13:39:27 time: 2.7991 data_time: 0.2795 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0713 loss: 0.2219 2022/08/27 03:35:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:37:28 - mmengine - INFO - Epoch(train) [402][5/63] lr: 1.0000e-06 eta: 13:39:27 time: 12.9584 data_time: 9.4072 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0575 loss: 0.1795 2022/08/27 03:37:34 - mmengine - INFO - Epoch(train) [402][10/63] lr: 1.0000e-06 eta: 13:39:08 time: 11.4131 data_time: 9.4708 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0566 loss: 0.1781 2022/08/27 03:37:52 - mmengine - INFO - Epoch(train) [402][15/63] lr: 1.0000e-06 eta: 13:39:08 time: 2.3782 data_time: 0.1251 memory: 28971 loss_text: 0.1115 loss_kernel: 0.0530 loss: 0.1646 2022/08/27 03:37:57 - mmengine - INFO - Epoch(train) [402][20/63] lr: 1.0000e-06 eta: 13:38:21 time: 2.3701 data_time: 0.1657 memory: 28971 loss_text: 0.1167 loss_kernel: 0.0557 loss: 0.1723 2022/08/27 03:38:19 - mmengine - INFO - Epoch(train) [402][25/63] lr: 1.0000e-06 eta: 13:38:21 time: 2.6452 data_time: 0.2678 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0596 loss: 0.1868 2022/08/27 03:38:23 - mmengine - INFO - Epoch(train) [402][30/63] lr: 1.0000e-06 eta: 13:37:35 time: 2.5760 data_time: 0.1824 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0643 loss: 0.2024 2022/08/27 03:38:40 - mmengine - INFO - Epoch(train) [402][35/63] lr: 1.0000e-06 eta: 13:37:35 time: 2.1413 data_time: 0.1651 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0671 loss: 0.2129 2022/08/27 03:38:45 - mmengine - INFO - Epoch(train) [402][40/63] lr: 1.0000e-06 eta: 13:36:47 time: 2.2020 data_time: 0.1589 memory: 28971 loss_text: 0.1252 loss_kernel: 0.0590 loss: 0.1843 2022/08/27 03:39:06 - mmengine - INFO - Epoch(train) [402][45/63] lr: 1.0000e-06 eta: 13:36:47 time: 2.5618 data_time: 0.2037 memory: 28971 loss_text: 0.1065 loss_kernel: 0.0512 loss: 0.1577 2022/08/27 03:39:24 - mmengine - INFO - Epoch(train) [402][50/63] lr: 1.0000e-06 eta: 13:36:07 time: 3.8258 data_time: 0.2273 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0543 loss: 0.1711 2022/08/27 03:39:42 - mmengine - INFO - Epoch(train) [402][55/63] lr: 1.0000e-06 eta: 13:36:07 time: 3.6389 data_time: 0.1690 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0587 loss: 0.1851 2022/08/27 03:39:57 - mmengine - INFO - Epoch(train) [402][60/63] lr: 1.0000e-06 eta: 13:35:26 time: 3.4039 data_time: 0.2774 memory: 28971 loss_text: 0.1205 loss_kernel: 0.0573 loss: 0.1778 2022/08/27 03:40:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:41:53 - mmengine - INFO - Epoch(train) [403][5/63] lr: 1.0000e-06 eta: 13:35:26 time: 11.6864 data_time: 9.1416 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0617 loss: 0.1948 2022/08/27 03:42:25 - mmengine - INFO - Epoch(train) [403][10/63] lr: 1.0000e-06 eta: 13:35:19 time: 14.0421 data_time: 9.2576 memory: 28971 loss_text: 0.1094 loss_kernel: 0.0518 loss: 0.1611 2022/08/27 03:42:47 - mmengine - INFO - Epoch(train) [403][15/63] lr: 1.0000e-06 eta: 13:35:19 time: 5.3397 data_time: 0.2041 memory: 28971 loss_text: 0.1014 loss_kernel: 0.0490 loss: 0.1504 2022/08/27 03:42:52 - mmengine - INFO - Epoch(train) [403][20/63] lr: 1.0000e-06 eta: 13:34:34 time: 2.7299 data_time: 0.1661 memory: 28971 loss_text: 0.1137 loss_kernel: 0.0536 loss: 0.1672 2022/08/27 03:43:06 - mmengine - INFO - Epoch(train) [403][25/63] lr: 1.0000e-06 eta: 13:34:34 time: 1.9351 data_time: 0.2173 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0604 loss: 0.1893 2022/08/27 03:43:11 - mmengine - INFO - Epoch(train) [403][30/63] lr: 1.0000e-06 eta: 13:33:45 time: 1.9473 data_time: 0.1835 memory: 28971 loss_text: 0.1375 loss_kernel: 0.0633 loss: 0.2008 2022/08/27 03:43:25 - mmengine - INFO - Epoch(train) [403][35/63] lr: 1.0000e-06 eta: 13:33:45 time: 1.8890 data_time: 0.0819 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0595 loss: 0.1901 2022/08/27 03:43:30 - mmengine - INFO - Epoch(train) [403][40/63] lr: 1.0000e-06 eta: 13:32:55 time: 1.8769 data_time: 0.0542 memory: 28971 loss_text: 0.1597 loss_kernel: 0.0735 loss: 0.2332 2022/08/27 03:43:44 - mmengine - INFO - Epoch(train) [403][45/63] lr: 1.0000e-06 eta: 13:32:55 time: 1.9458 data_time: 0.0733 memory: 28971 loss_text: 0.1593 loss_kernel: 0.0739 loss: 0.2332 2022/08/27 03:43:54 - mmengine - INFO - Epoch(train) [403][50/63] lr: 1.0000e-06 eta: 13:32:08 time: 2.3604 data_time: 0.1006 memory: 28971 loss_text: 0.1275 loss_kernel: 0.0599 loss: 0.1874 2022/08/27 03:43:58 - mmengine - INFO - Epoch(train) [403][55/63] lr: 1.0000e-06 eta: 13:32:08 time: 1.3665 data_time: 0.0732 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0601 loss: 0.1908 2022/08/27 03:44:19 - mmengine - INFO - Epoch(train) [403][60/63] lr: 1.0000e-06 eta: 13:31:22 time: 2.4690 data_time: 0.0651 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0545 loss: 0.1708 2022/08/27 03:44:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:46:09 - mmengine - INFO - Epoch(train) [404][5/63] lr: 1.0000e-06 eta: 13:31:22 time: 11.1504 data_time: 9.2169 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0592 loss: 0.1851 2022/08/27 03:46:15 - mmengine - INFO - Epoch(train) [404][10/63] lr: 1.0000e-06 eta: 13:31:01 time: 11.1682 data_time: 9.2201 memory: 28971 loss_text: 0.1201 loss_kernel: 0.0568 loss: 0.1769 2022/08/27 03:46:32 - mmengine - INFO - Epoch(train) [404][15/63] lr: 1.0000e-06 eta: 13:31:01 time: 2.2889 data_time: 0.1605 memory: 28971 loss_text: 0.0911 loss_kernel: 0.0446 loss: 0.1357 2022/08/27 03:46:49 - mmengine - INFO - Epoch(train) [404][20/63] lr: 1.0000e-06 eta: 13:30:19 time: 3.4548 data_time: 0.1515 memory: 28971 loss_text: 0.1056 loss_kernel: 0.0507 loss: 0.1562 2022/08/27 03:46:56 - mmengine - INFO - Epoch(train) [404][25/63] lr: 1.0000e-06 eta: 13:30:19 time: 2.3990 data_time: 0.0843 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0580 loss: 0.1793 2022/08/27 03:47:09 - mmengine - INFO - Epoch(train) [404][30/63] lr: 1.0000e-06 eta: 13:29:30 time: 1.9618 data_time: 0.0525 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0617 loss: 0.1916 2022/08/27 03:47:18 - mmengine - INFO - Epoch(train) [404][35/63] lr: 1.0000e-06 eta: 13:29:30 time: 2.2745 data_time: 0.0937 memory: 28971 loss_text: 0.1656 loss_kernel: 0.0740 loss: 0.2396 2022/08/27 03:47:23 - mmengine - INFO - Epoch(train) [404][40/63] lr: 1.0000e-06 eta: 13:28:39 time: 1.3733 data_time: 0.0944 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0633 loss: 0.2035 2022/08/27 03:47:36 - mmengine - INFO - Epoch(train) [404][45/63] lr: 1.0000e-06 eta: 13:28:39 time: 1.7979 data_time: 0.0637 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0600 loss: 0.1877 2022/08/27 03:47:42 - mmengine - INFO - Epoch(train) [404][50/63] lr: 1.0000e-06 eta: 13:27:50 time: 1.8764 data_time: 0.1264 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0649 loss: 0.2046 2022/08/27 03:47:59 - mmengine - INFO - Epoch(train) [404][55/63] lr: 1.0000e-06 eta: 13:27:50 time: 2.2729 data_time: 0.2912 memory: 28971 loss_text: 0.1085 loss_kernel: 0.0529 loss: 0.1614 2022/08/27 03:48:19 - mmengine - INFO - Epoch(train) [404][60/63] lr: 1.0000e-06 eta: 13:27:09 time: 3.6393 data_time: 0.3144 memory: 28971 loss_text: 0.1010 loss_kernel: 0.0494 loss: 0.1504 2022/08/27 03:48:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:50:08 - mmengine - INFO - Epoch(train) [405][5/63] lr: 1.0000e-06 eta: 13:27:09 time: 12.4281 data_time: 9.4932 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0585 loss: 0.1835 2022/08/27 03:50:14 - mmengine - INFO - Epoch(train) [405][10/63] lr: 1.0000e-06 eta: 13:26:46 time: 10.9008 data_time: 9.3169 memory: 28971 loss_text: 0.1579 loss_kernel: 0.0726 loss: 0.2305 2022/08/27 03:50:28 - mmengine - INFO - Epoch(train) [405][15/63] lr: 1.0000e-06 eta: 13:26:46 time: 1.9758 data_time: 0.1089 memory: 28971 loss_text: 0.1389 loss_kernel: 0.0649 loss: 0.2038 2022/08/27 03:50:33 - mmengine - INFO - Epoch(train) [405][20/63] lr: 1.0000e-06 eta: 13:25:58 time: 1.9729 data_time: 0.1187 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0514 loss: 0.1572 2022/08/27 03:50:50 - mmengine - INFO - Epoch(train) [405][25/63] lr: 1.0000e-06 eta: 13:25:58 time: 2.1945 data_time: 0.1084 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0601 loss: 0.1857 2022/08/27 03:50:55 - mmengine - INFO - Epoch(train) [405][30/63] lr: 1.0000e-06 eta: 13:25:10 time: 2.1921 data_time: 0.1275 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0613 loss: 0.1914 2022/08/27 03:51:12 - mmengine - INFO - Epoch(train) [405][35/63] lr: 1.0000e-06 eta: 13:25:10 time: 2.2390 data_time: 0.1694 memory: 28971 loss_text: 0.1077 loss_kernel: 0.0520 loss: 0.1597 2022/08/27 03:51:17 - mmengine - INFO - Epoch(train) [405][40/63] lr: 1.0000e-06 eta: 13:24:23 time: 2.2100 data_time: 0.1343 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0589 loss: 0.1832 2022/08/27 03:51:29 - mmengine - INFO - Epoch(train) [405][45/63] lr: 1.0000e-06 eta: 13:24:23 time: 1.7015 data_time: 0.1191 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0639 loss: 0.2012 2022/08/27 03:51:34 - mmengine - INFO - Epoch(train) [405][50/63] lr: 1.0000e-06 eta: 13:23:32 time: 1.6560 data_time: 0.1039 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0574 loss: 0.1789 2022/08/27 03:51:49 - mmengine - INFO - Epoch(train) [405][55/63] lr: 1.0000e-06 eta: 13:23:32 time: 1.9842 data_time: 0.0725 memory: 28971 loss_text: 0.1111 loss_kernel: 0.0528 loss: 0.1640 2022/08/27 03:51:54 - mmengine - INFO - Epoch(train) [405][60/63] lr: 1.0000e-06 eta: 13:22:44 time: 2.0436 data_time: 0.1201 memory: 28971 loss_text: 0.1441 loss_kernel: 0.0674 loss: 0.2116 2022/08/27 03:52:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:53:46 - mmengine - INFO - Epoch(train) [406][5/63] lr: 1.0000e-06 eta: 13:22:44 time: 11.2548 data_time: 8.5126 memory: 28971 loss_text: 0.1507 loss_kernel: 0.0711 loss: 0.2217 2022/08/27 03:53:50 - mmengine - INFO - Epoch(train) [406][10/63] lr: 1.0000e-06 eta: 13:22:16 time: 9.8947 data_time: 8.5280 memory: 28971 loss_text: 0.1123 loss_kernel: 0.0544 loss: 0.1666 2022/08/27 03:53:58 - mmengine - INFO - Epoch(train) [406][15/63] lr: 1.0000e-06 eta: 13:22:16 time: 1.2194 data_time: 0.0425 memory: 28971 loss_text: 0.1170 loss_kernel: 0.0557 loss: 0.1727 2022/08/27 03:54:03 - mmengine - INFO - Epoch(train) [406][20/63] lr: 1.0000e-06 eta: 13:21:24 time: 1.2271 data_time: 0.0535 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0577 loss: 0.1812 2022/08/27 03:54:08 - mmengine - INFO - Epoch(train) [406][25/63] lr: 1.0000e-06 eta: 13:21:24 time: 0.9911 data_time: 0.0544 memory: 28971 loss_text: 0.1410 loss_kernel: 0.0640 loss: 0.2051 2022/08/27 03:54:13 - mmengine - INFO - Epoch(train) [406][30/63] lr: 1.0000e-06 eta: 13:20:31 time: 1.0761 data_time: 0.0398 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0608 loss: 0.1920 2022/08/27 03:54:22 - mmengine - INFO - Epoch(train) [406][35/63] lr: 1.0000e-06 eta: 13:20:31 time: 1.4028 data_time: 0.0485 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0586 loss: 0.1818 2022/08/27 03:54:27 - mmengine - INFO - Epoch(train) [406][40/63] lr: 1.0000e-06 eta: 13:19:40 time: 1.3475 data_time: 0.0552 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0603 loss: 0.1869 2022/08/27 03:54:32 - mmengine - INFO - Epoch(train) [406][45/63] lr: 1.0000e-06 eta: 13:19:40 time: 0.9758 data_time: 0.0499 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0682 loss: 0.2131 2022/08/27 03:54:36 - mmengine - INFO - Epoch(train) [406][50/63] lr: 1.0000e-06 eta: 13:18:46 time: 0.9526 data_time: 0.0324 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0695 loss: 0.2183 2022/08/27 03:54:42 - mmengine - INFO - Epoch(train) [406][55/63] lr: 1.0000e-06 eta: 13:18:46 time: 1.0662 data_time: 0.0391 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0563 loss: 0.1739 2022/08/27 03:54:54 - mmengine - INFO - Epoch(train) [406][60/63] lr: 1.0000e-06 eta: 13:17:57 time: 1.7365 data_time: 0.0477 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0618 loss: 0.1952 2022/08/27 03:54:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 03:56:33 - mmengine - INFO - Epoch(train) [407][5/63] lr: 1.0000e-06 eta: 13:17:57 time: 10.3409 data_time: 8.7611 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0532 loss: 0.1667 2022/08/27 03:56:37 - mmengine - INFO - Epoch(train) [407][10/63] lr: 1.0000e-06 eta: 13:17:29 time: 10.0037 data_time: 8.7395 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0558 loss: 0.1753 2022/08/27 03:56:52 - mmengine - INFO - Epoch(train) [407][15/63] lr: 1.0000e-06 eta: 13:17:29 time: 1.8795 data_time: 0.1595 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0581 loss: 0.1841 2022/08/27 03:56:56 - mmengine - INFO - Epoch(train) [407][20/63] lr: 1.0000e-06 eta: 13:16:40 time: 1.8795 data_time: 0.1722 memory: 28971 loss_text: 0.1375 loss_kernel: 0.0626 loss: 0.2001 2022/08/27 03:57:10 - mmengine - INFO - Epoch(train) [407][25/63] lr: 1.0000e-06 eta: 13:16:40 time: 1.8133 data_time: 0.0493 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0600 loss: 0.1872 2022/08/27 03:57:18 - mmengine - INFO - Epoch(train) [407][30/63] lr: 1.0000e-06 eta: 13:15:53 time: 2.2001 data_time: 0.1140 memory: 28971 loss_text: 0.1375 loss_kernel: 0.0653 loss: 0.2028 2022/08/27 03:57:32 - mmengine - INFO - Epoch(train) [407][35/63] lr: 1.0000e-06 eta: 13:15:53 time: 2.2516 data_time: 0.1312 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0637 loss: 0.1997 2022/08/27 03:57:40 - mmengine - INFO - Epoch(train) [407][40/63] lr: 1.0000e-06 eta: 13:15:06 time: 2.1771 data_time: 0.1157 memory: 28971 loss_text: 0.1092 loss_kernel: 0.0523 loss: 0.1614 2022/08/27 03:57:50 - mmengine - INFO - Epoch(train) [407][45/63] lr: 1.0000e-06 eta: 13:15:06 time: 1.8336 data_time: 0.1213 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0568 loss: 0.1760 2022/08/27 03:58:11 - mmengine - INFO - Epoch(train) [407][50/63] lr: 1.0000e-06 eta: 13:14:23 time: 3.0872 data_time: 0.1582 memory: 28971 loss_text: 0.1346 loss_kernel: 0.0638 loss: 0.1984 2022/08/27 03:58:20 - mmengine - INFO - Epoch(train) [407][55/63] lr: 1.0000e-06 eta: 13:14:23 time: 2.9661 data_time: 0.2278 memory: 28971 loss_text: 0.0996 loss_kernel: 0.0489 loss: 0.1485 2022/08/27 03:58:36 - mmengine - INFO - Epoch(train) [407][60/63] lr: 1.0000e-06 eta: 13:13:37 time: 2.5620 data_time: 0.2726 memory: 28971 loss_text: 0.1019 loss_kernel: 0.0484 loss: 0.1503 2022/08/27 03:58:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:00:29 - mmengine - INFO - Epoch(train) [408][5/63] lr: 1.0000e-06 eta: 13:13:37 time: 11.4692 data_time: 9.7738 memory: 28971 loss_text: 0.1108 loss_kernel: 0.0527 loss: 0.1635 2022/08/27 04:00:43 - mmengine - INFO - Epoch(train) [408][10/63] lr: 1.0000e-06 eta: 13:13:20 time: 12.2105 data_time: 9.7571 memory: 28971 loss_text: 0.1071 loss_kernel: 0.0531 loss: 0.1602 2022/08/27 04:00:50 - mmengine - INFO - Epoch(train) [408][15/63] lr: 1.0000e-06 eta: 13:13:20 time: 2.1100 data_time: 0.2107 memory: 28971 loss_text: 0.1002 loss_kernel: 0.0495 loss: 0.1497 2022/08/27 04:01:05 - mmengine - INFO - Epoch(train) [408][20/63] lr: 1.0000e-06 eta: 13:12:33 time: 2.3249 data_time: 0.1721 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0641 loss: 0.2048 2022/08/27 04:01:12 - mmengine - INFO - Epoch(train) [408][25/63] lr: 1.0000e-06 eta: 13:12:33 time: 2.1668 data_time: 0.1837 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0676 loss: 0.2147 2022/08/27 04:01:28 - mmengine - INFO - Epoch(train) [408][30/63] lr: 1.0000e-06 eta: 13:11:46 time: 2.2842 data_time: 0.2012 memory: 28971 loss_text: 0.1244 loss_kernel: 0.0586 loss: 0.1831 2022/08/27 04:01:33 - mmengine - INFO - Epoch(train) [408][35/63] lr: 1.0000e-06 eta: 13:11:46 time: 2.1103 data_time: 0.1184 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0642 loss: 0.2030 2022/08/27 04:01:51 - mmengine - INFO - Epoch(train) [408][40/63] lr: 1.0000e-06 eta: 13:10:59 time: 2.2690 data_time: 0.1390 memory: 28971 loss_text: 0.1528 loss_kernel: 0.0710 loss: 0.2238 2022/08/27 04:02:04 - mmengine - INFO - Epoch(train) [408][45/63] lr: 1.0000e-06 eta: 13:10:59 time: 3.0960 data_time: 0.1073 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0725 loss: 0.2278 2022/08/27 04:02:15 - mmengine - INFO - Epoch(train) [408][50/63] lr: 1.0000e-06 eta: 13:10:13 time: 2.4379 data_time: 0.1143 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0576 loss: 0.1805 2022/08/27 04:02:33 - mmengine - INFO - Epoch(train) [408][55/63] lr: 1.0000e-06 eta: 13:10:13 time: 2.8564 data_time: 0.1192 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0522 loss: 0.1665 2022/08/27 04:02:40 - mmengine - INFO - Epoch(train) [408][60/63] lr: 1.0000e-06 eta: 13:09:27 time: 2.4953 data_time: 0.2567 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0607 loss: 0.1934 2022/08/27 04:02:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:04:35 - mmengine - INFO - Epoch(train) [409][5/63] lr: 1.0000e-06 eta: 13:09:27 time: 11.6951 data_time: 9.6368 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0621 loss: 0.1928 2022/08/27 04:04:41 - mmengine - INFO - Epoch(train) [409][10/63] lr: 1.0000e-06 eta: 13:09:07 time: 11.6962 data_time: 9.6533 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0609 loss: 0.1873 2022/08/27 04:04:58 - mmengine - INFO - Epoch(train) [409][15/63] lr: 1.0000e-06 eta: 13:09:07 time: 2.2795 data_time: 0.1002 memory: 28971 loss_text: 0.1052 loss_kernel: 0.0512 loss: 0.1564 2022/08/27 04:05:03 - mmengine - INFO - Epoch(train) [409][20/63] lr: 1.0000e-06 eta: 13:08:20 time: 2.2104 data_time: 0.1301 memory: 28971 loss_text: 0.1106 loss_kernel: 0.0520 loss: 0.1626 2022/08/27 04:05:19 - mmengine - INFO - Epoch(train) [409][25/63] lr: 1.0000e-06 eta: 13:08:20 time: 2.1302 data_time: 0.1363 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0643 loss: 0.2026 2022/08/27 04:05:35 - mmengine - INFO - Epoch(train) [409][30/63] lr: 1.0000e-06 eta: 13:07:38 time: 3.1723 data_time: 0.0969 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0677 loss: 0.2118 2022/08/27 04:05:41 - mmengine - INFO - Epoch(train) [409][35/63] lr: 1.0000e-06 eta: 13:07:38 time: 2.1614 data_time: 0.1576 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0632 loss: 0.1963 2022/08/27 04:05:59 - mmengine - INFO - Epoch(train) [409][40/63] lr: 1.0000e-06 eta: 13:06:51 time: 2.4162 data_time: 0.1834 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0624 loss: 0.1964 2022/08/27 04:06:16 - mmengine - INFO - Epoch(train) [409][45/63] lr: 1.0000e-06 eta: 13:06:51 time: 3.5175 data_time: 0.1415 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0594 loss: 0.1864 2022/08/27 04:06:21 - mmengine - INFO - Epoch(train) [409][50/63] lr: 1.0000e-06 eta: 13:06:04 time: 2.2405 data_time: 0.1280 memory: 28971 loss_text: 0.1165 loss_kernel: 0.0559 loss: 0.1723 2022/08/27 04:06:39 - mmengine - INFO - Epoch(train) [409][55/63] lr: 1.0000e-06 eta: 13:06:04 time: 2.3478 data_time: 0.0671 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0561 loss: 0.1760 2022/08/27 04:06:46 - mmengine - INFO - Epoch(train) [409][60/63] lr: 1.0000e-06 eta: 13:05:18 time: 2.4365 data_time: 0.1133 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0622 loss: 0.1979 2022/08/27 04:06:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:08:34 - mmengine - INFO - Epoch(train) [410][5/63] lr: 1.0000e-06 eta: 13:05:18 time: 10.9831 data_time: 9.2679 memory: 28971 loss_text: 0.1692 loss_kernel: 0.0756 loss: 0.2448 2022/08/27 04:08:39 - mmengine - INFO - Epoch(train) [410][10/63] lr: 1.0000e-06 eta: 13:04:55 time: 10.9914 data_time: 9.3125 memory: 28971 loss_text: 0.1573 loss_kernel: 0.0713 loss: 0.2287 2022/08/27 04:08:55 - mmengine - INFO - Epoch(train) [410][15/63] lr: 1.0000e-06 eta: 13:04:55 time: 2.1298 data_time: 0.1244 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0683 loss: 0.2155 2022/08/27 04:09:09 - mmengine - INFO - Epoch(train) [410][20/63] lr: 1.0000e-06 eta: 13:04:12 time: 3.0137 data_time: 0.1446 memory: 28971 loss_text: 0.1241 loss_kernel: 0.0588 loss: 0.1830 2022/08/27 04:09:18 - mmengine - INFO - Epoch(train) [410][25/63] lr: 1.0000e-06 eta: 13:04:12 time: 2.3248 data_time: 0.1107 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0562 loss: 0.1731 2022/08/27 04:09:23 - mmengine - INFO - Epoch(train) [410][30/63] lr: 1.0000e-06 eta: 13:03:20 time: 1.3259 data_time: 0.0634 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0684 loss: 0.2175 2022/08/27 04:09:39 - mmengine - INFO - Epoch(train) [410][35/63] lr: 1.0000e-06 eta: 13:03:20 time: 2.0821 data_time: 0.0985 memory: 28971 loss_text: 0.1282 loss_kernel: 0.0572 loss: 0.1853 2022/08/27 04:09:44 - mmengine - INFO - Epoch(train) [410][40/63] lr: 1.0000e-06 eta: 13:02:33 time: 2.1712 data_time: 0.1321 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0590 loss: 0.1897 2022/08/27 04:10:00 - mmengine - INFO - Epoch(train) [410][45/63] lr: 1.0000e-06 eta: 13:02:33 time: 2.0968 data_time: 0.0727 memory: 28971 loss_text: 0.1572 loss_kernel: 0.0719 loss: 0.2292 2022/08/27 04:10:05 - mmengine - INFO - Epoch(train) [410][50/63] lr: 1.0000e-06 eta: 13:01:45 time: 2.0211 data_time: 0.0551 memory: 28971 loss_text: 0.1474 loss_kernel: 0.0678 loss: 0.2152 2022/08/27 04:10:23 - mmengine - INFO - Epoch(train) [410][55/63] lr: 1.0000e-06 eta: 13:01:45 time: 2.2502 data_time: 0.0768 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0655 loss: 0.2074 2022/08/27 04:10:28 - mmengine - INFO - Epoch(train) [410][60/63] lr: 1.0000e-06 eta: 13:00:59 time: 2.3479 data_time: 0.1490 memory: 28971 loss_text: 0.1518 loss_kernel: 0.0696 loss: 0.2213 2022/08/27 04:10:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:12:29 - mmengine - INFO - Epoch(train) [411][5/63] lr: 1.0000e-06 eta: 13:00:59 time: 12.1486 data_time: 9.2665 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0597 loss: 0.1875 2022/08/27 04:12:34 - mmengine - INFO - Epoch(train) [411][10/63] lr: 1.0000e-06 eta: 13:00:35 time: 10.9951 data_time: 9.3030 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0574 loss: 0.1782 2022/08/27 04:12:49 - mmengine - INFO - Epoch(train) [411][15/63] lr: 1.0000e-06 eta: 13:00:35 time: 2.0121 data_time: 0.0899 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0567 loss: 0.1759 2022/08/27 04:12:54 - mmengine - INFO - Epoch(train) [411][20/63] lr: 1.0000e-06 eta: 12:59:47 time: 2.0264 data_time: 0.1066 memory: 28971 loss_text: 0.0995 loss_kernel: 0.0485 loss: 0.1481 2022/08/27 04:13:11 - mmengine - INFO - Epoch(train) [411][25/63] lr: 1.0000e-06 eta: 12:59:47 time: 2.1419 data_time: 0.1194 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0565 loss: 0.1757 2022/08/27 04:13:16 - mmengine - INFO - Epoch(train) [411][30/63] lr: 1.0000e-06 eta: 12:59:00 time: 2.1335 data_time: 0.1029 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0638 loss: 0.2009 2022/08/27 04:13:33 - mmengine - INFO - Epoch(train) [411][35/63] lr: 1.0000e-06 eta: 12:59:00 time: 2.2255 data_time: 0.1369 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0697 loss: 0.2191 2022/08/27 04:13:50 - mmengine - INFO - Epoch(train) [411][40/63] lr: 1.0000e-06 eta: 12:58:18 time: 3.4044 data_time: 0.2199 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0633 loss: 0.1969 2022/08/27 04:13:55 - mmengine - INFO - Epoch(train) [411][45/63] lr: 1.0000e-06 eta: 12:58:18 time: 2.2118 data_time: 0.2145 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0634 loss: 0.1986 2022/08/27 04:14:12 - mmengine - INFO - Epoch(train) [411][50/63] lr: 1.0000e-06 eta: 12:57:31 time: 2.1656 data_time: 0.4206 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0626 loss: 0.1975 2022/08/27 04:14:16 - mmengine - INFO - Epoch(train) [411][55/63] lr: 1.0000e-06 eta: 12:57:31 time: 2.1572 data_time: 0.4166 memory: 28971 loss_text: 0.1032 loss_kernel: 0.0496 loss: 0.1527 2022/08/27 04:14:36 - mmengine - INFO - Epoch(train) [411][60/63] lr: 1.0000e-06 eta: 12:56:45 time: 2.4002 data_time: 0.1311 memory: 28971 loss_text: 0.1224 loss_kernel: 0.0596 loss: 0.1820 2022/08/27 04:14:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:16:19 - mmengine - INFO - Epoch(train) [412][5/63] lr: 1.0000e-06 eta: 12:56:45 time: 11.8850 data_time: 8.9627 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0687 loss: 0.2130 2022/08/27 04:16:23 - mmengine - INFO - Epoch(train) [412][10/63] lr: 1.0000e-06 eta: 12:56:19 time: 10.3932 data_time: 8.9268 memory: 28971 loss_text: 0.0949 loss_kernel: 0.0468 loss: 0.1417 2022/08/27 04:16:38 - mmengine - INFO - Epoch(train) [412][15/63] lr: 1.0000e-06 eta: 12:56:19 time: 1.9781 data_time: 0.0865 memory: 28971 loss_text: 0.0991 loss_kernel: 0.0495 loss: 0.1486 2022/08/27 04:16:43 - mmengine - INFO - Epoch(train) [412][20/63] lr: 1.0000e-06 eta: 12:55:30 time: 1.9402 data_time: 0.0887 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0665 loss: 0.2055 2022/08/27 04:17:00 - mmengine - INFO - Epoch(train) [412][25/63] lr: 1.0000e-06 eta: 12:55:30 time: 2.1469 data_time: 0.1394 memory: 28971 loss_text: 0.1582 loss_kernel: 0.0732 loss: 0.2313 2022/08/27 04:17:04 - mmengine - INFO - Epoch(train) [412][30/63] lr: 1.0000e-06 eta: 12:54:43 time: 2.1619 data_time: 0.1442 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0604 loss: 0.1885 2022/08/27 04:17:22 - mmengine - INFO - Epoch(train) [412][35/63] lr: 1.0000e-06 eta: 12:54:43 time: 2.2072 data_time: 0.0842 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0555 loss: 0.1677 2022/08/27 04:17:26 - mmengine - INFO - Epoch(train) [412][40/63] lr: 1.0000e-06 eta: 12:53:56 time: 2.2009 data_time: 0.0812 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0695 loss: 0.2167 2022/08/27 04:17:44 - mmengine - INFO - Epoch(train) [412][45/63] lr: 1.0000e-06 eta: 12:53:56 time: 2.2531 data_time: 0.1434 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0731 loss: 0.2352 2022/08/27 04:17:49 - mmengine - INFO - Epoch(train) [412][50/63] lr: 1.0000e-06 eta: 12:53:10 time: 2.2680 data_time: 0.1300 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0569 loss: 0.1791 2022/08/27 04:18:09 - mmengine - INFO - Epoch(train) [412][55/63] lr: 1.0000e-06 eta: 12:53:10 time: 2.3982 data_time: 0.0629 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0595 loss: 0.1861 2022/08/27 04:18:24 - mmengine - INFO - Epoch(train) [412][60/63] lr: 1.0000e-06 eta: 12:52:29 time: 3.5226 data_time: 0.2234 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0685 loss: 0.2165 2022/08/27 04:18:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:20:14 - mmengine - INFO - Epoch(train) [413][5/63] lr: 1.0000e-06 eta: 12:52:29 time: 12.0232 data_time: 9.0177 memory: 28971 loss_text: 0.1325 loss_kernel: 0.0629 loss: 0.1954 2022/08/27 04:20:19 - mmengine - INFO - Epoch(train) [413][10/63] lr: 1.0000e-06 eta: 12:52:04 time: 10.9363 data_time: 9.0562 memory: 28971 loss_text: 0.1201 loss_kernel: 0.0586 loss: 0.1787 2022/08/27 04:20:39 - mmengine - INFO - Epoch(train) [413][15/63] lr: 1.0000e-06 eta: 12:52:04 time: 2.4861 data_time: 0.1534 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0582 loss: 0.1777 2022/08/27 04:20:43 - mmengine - INFO - Epoch(train) [413][20/63] lr: 1.0000e-06 eta: 12:51:18 time: 2.3910 data_time: 0.1319 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0627 loss: 0.1991 2022/08/27 04:20:58 - mmengine - INFO - Epoch(train) [413][25/63] lr: 1.0000e-06 eta: 12:51:18 time: 1.9846 data_time: 0.1007 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0718 loss: 0.2315 2022/08/27 04:21:03 - mmengine - INFO - Epoch(train) [413][30/63] lr: 1.0000e-06 eta: 12:50:31 time: 2.0168 data_time: 0.1009 memory: 28971 loss_text: 0.1393 loss_kernel: 0.0651 loss: 0.2044 2022/08/27 04:21:21 - mmengine - INFO - Epoch(train) [413][35/63] lr: 1.0000e-06 eta: 12:50:31 time: 2.3150 data_time: 0.0691 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0557 loss: 0.1725 2022/08/27 04:21:26 - mmengine - INFO - Epoch(train) [413][40/63] lr: 1.0000e-06 eta: 12:49:44 time: 2.2708 data_time: 0.0520 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0633 loss: 0.1984 2022/08/27 04:21:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:21:42 - mmengine - INFO - Epoch(train) [413][45/63] lr: 1.0000e-06 eta: 12:49:44 time: 2.0532 data_time: 0.0769 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0673 loss: 0.2124 2022/08/27 04:21:48 - mmengine - INFO - Epoch(train) [413][50/63] lr: 1.0000e-06 eta: 12:48:57 time: 2.1932 data_time: 0.1297 memory: 28971 loss_text: 0.1286 loss_kernel: 0.0603 loss: 0.1890 2022/08/27 04:22:04 - mmengine - INFO - Epoch(train) [413][55/63] lr: 1.0000e-06 eta: 12:48:57 time: 2.1791 data_time: 0.2294 memory: 28971 loss_text: 0.1158 loss_kernel: 0.0548 loss: 0.1705 2022/08/27 04:22:09 - mmengine - INFO - Epoch(train) [413][60/63] lr: 1.0000e-06 eta: 12:48:10 time: 2.0650 data_time: 0.1835 memory: 28971 loss_text: 0.1275 loss_kernel: 0.0596 loss: 0.1871 2022/08/27 04:22:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:24:06 - mmengine - INFO - Epoch(train) [414][5/63] lr: 1.0000e-06 eta: 12:48:10 time: 11.9212 data_time: 8.8948 memory: 28971 loss_text: 0.1185 loss_kernel: 0.0570 loss: 0.1755 2022/08/27 04:24:12 - mmengine - INFO - Epoch(train) [414][10/63] lr: 1.0000e-06 eta: 12:47:44 time: 10.6426 data_time: 8.9271 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0598 loss: 0.1846 2022/08/27 04:24:29 - mmengine - INFO - Epoch(train) [414][15/63] lr: 1.0000e-06 eta: 12:47:44 time: 2.2041 data_time: 0.0688 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0526 loss: 0.1648 2022/08/27 04:24:34 - mmengine - INFO - Epoch(train) [414][20/63] lr: 1.0000e-06 eta: 12:46:57 time: 2.2226 data_time: 0.1203 memory: 28971 loss_text: 0.1028 loss_kernel: 0.0485 loss: 0.1513 2022/08/27 04:24:55 - mmengine - INFO - Epoch(train) [414][25/63] lr: 1.0000e-06 eta: 12:46:57 time: 2.6721 data_time: 0.2246 memory: 28971 loss_text: 0.1196 loss_kernel: 0.0567 loss: 0.1763 2022/08/27 04:25:00 - mmengine - INFO - Epoch(train) [414][30/63] lr: 1.0000e-06 eta: 12:46:12 time: 2.6356 data_time: 0.1650 memory: 28971 loss_text: 0.1675 loss_kernel: 0.0764 loss: 0.2439 2022/08/27 04:25:21 - mmengine - INFO - Epoch(train) [414][35/63] lr: 1.0000e-06 eta: 12:46:12 time: 2.5319 data_time: 0.1606 memory: 28971 loss_text: 0.1528 loss_kernel: 0.0695 loss: 0.2223 2022/08/27 04:25:34 - mmengine - INFO - Epoch(train) [414][40/63] lr: 1.0000e-06 eta: 12:45:31 time: 3.3634 data_time: 0.1508 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0590 loss: 0.1870 2022/08/27 04:25:45 - mmengine - INFO - Epoch(train) [414][45/63] lr: 1.0000e-06 eta: 12:45:31 time: 2.4111 data_time: 0.1218 memory: 28971 loss_text: 0.1434 loss_kernel: 0.0654 loss: 0.2088 2022/08/27 04:25:49 - mmengine - INFO - Epoch(train) [414][50/63] lr: 1.0000e-06 eta: 12:44:41 time: 1.5676 data_time: 0.1233 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0673 loss: 0.2140 2022/08/27 04:26:08 - mmengine - INFO - Epoch(train) [414][55/63] lr: 1.0000e-06 eta: 12:44:41 time: 2.2792 data_time: 0.0971 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0680 loss: 0.2178 2022/08/27 04:26:27 - mmengine - INFO - Epoch(train) [414][60/63] lr: 1.0000e-06 eta: 12:44:01 time: 3.6973 data_time: 0.1587 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0656 loss: 0.2107 2022/08/27 04:26:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:28:21 - mmengine - INFO - Epoch(train) [415][5/63] lr: 1.0000e-06 eta: 12:44:01 time: 12.0716 data_time: 9.5734 memory: 28971 loss_text: 0.1318 loss_kernel: 0.0617 loss: 0.1935 2022/08/27 04:28:26 - mmengine - INFO - Epoch(train) [415][10/63] lr: 1.0000e-06 eta: 12:43:38 time: 11.3441 data_time: 9.4448 memory: 28971 loss_text: 0.1162 loss_kernel: 0.0551 loss: 0.1713 2022/08/27 04:28:44 - mmengine - INFO - Epoch(train) [415][15/63] lr: 1.0000e-06 eta: 12:43:38 time: 2.2952 data_time: 0.1121 memory: 28971 loss_text: 0.1055 loss_kernel: 0.0508 loss: 0.1563 2022/08/27 04:28:48 - mmengine - INFO - Epoch(train) [415][20/63] lr: 1.0000e-06 eta: 12:42:51 time: 2.1854 data_time: 0.0930 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0557 loss: 0.1733 2022/08/27 04:29:06 - mmengine - INFO - Epoch(train) [415][25/63] lr: 1.0000e-06 eta: 12:42:51 time: 2.2047 data_time: 0.0791 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0607 loss: 0.1898 2022/08/27 04:29:11 - mmengine - INFO - Epoch(train) [415][30/63] lr: 1.0000e-06 eta: 12:42:05 time: 2.3090 data_time: 0.0774 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0699 loss: 0.2208 2022/08/27 04:29:28 - mmengine - INFO - Epoch(train) [415][35/63] lr: 1.0000e-06 eta: 12:42:05 time: 2.1803 data_time: 0.1623 memory: 28971 loss_text: 0.1636 loss_kernel: 0.0747 loss: 0.2383 2022/08/27 04:29:37 - mmengine - INFO - Epoch(train) [415][40/63] lr: 1.0000e-06 eta: 12:41:20 time: 2.5310 data_time: 0.1818 memory: 28971 loss_text: 0.1499 loss_kernel: 0.0687 loss: 0.2186 2022/08/27 04:29:53 - mmengine - INFO - Epoch(train) [415][45/63] lr: 1.0000e-06 eta: 12:41:20 time: 2.5275 data_time: 0.1385 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0646 loss: 0.2046 2022/08/27 04:30:05 - mmengine - INFO - Epoch(train) [415][50/63] lr: 1.0000e-06 eta: 12:40:36 time: 2.8012 data_time: 0.1429 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0672 loss: 0.2162 2022/08/27 04:30:15 - mmengine - INFO - Epoch(train) [415][55/63] lr: 1.0000e-06 eta: 12:40:36 time: 2.2507 data_time: 0.1753 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0665 loss: 0.2108 2022/08/27 04:30:32 - mmengine - INFO - Epoch(train) [415][60/63] lr: 1.0000e-06 eta: 12:39:51 time: 2.6618 data_time: 0.2053 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0685 loss: 0.2142 2022/08/27 04:30:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:32:19 - mmengine - INFO - Epoch(train) [416][5/63] lr: 1.0000e-06 eta: 12:39:51 time: 11.6808 data_time: 9.3900 memory: 28971 loss_text: 0.1190 loss_kernel: 0.0567 loss: 0.1757 2022/08/27 04:32:32 - mmengine - INFO - Epoch(train) [416][10/63] lr: 1.0000e-06 eta: 12:39:29 time: 11.5696 data_time: 9.2871 memory: 28971 loss_text: 0.1055 loss_kernel: 0.0510 loss: 0.1565 2022/08/27 04:32:41 - mmengine - INFO - Epoch(train) [416][15/63] lr: 1.0000e-06 eta: 12:39:29 time: 2.2140 data_time: 0.1763 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0548 loss: 0.1698 2022/08/27 04:32:57 - mmengine - INFO - Epoch(train) [416][20/63] lr: 1.0000e-06 eta: 12:38:43 time: 2.4692 data_time: 0.1558 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0651 loss: 0.2069 2022/08/27 04:33:03 - mmengine - INFO - Epoch(train) [416][25/63] lr: 1.0000e-06 eta: 12:38:43 time: 2.1309 data_time: 0.1585 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0689 loss: 0.2193 2022/08/27 04:33:22 - mmengine - INFO - Epoch(train) [416][30/63] lr: 1.0000e-06 eta: 12:37:58 time: 2.5382 data_time: 0.1401 memory: 28971 loss_text: 0.1398 loss_kernel: 0.0649 loss: 0.2047 2022/08/27 04:33:27 - mmengine - INFO - Epoch(train) [416][35/63] lr: 1.0000e-06 eta: 12:37:58 time: 2.4139 data_time: 0.0915 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0566 loss: 0.1729 2022/08/27 04:33:43 - mmengine - INFO - Epoch(train) [416][40/63] lr: 1.0000e-06 eta: 12:37:11 time: 2.1286 data_time: 0.2016 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0621 loss: 0.1898 2022/08/27 04:33:48 - mmengine - INFO - Epoch(train) [416][45/63] lr: 1.0000e-06 eta: 12:37:11 time: 2.1043 data_time: 0.1945 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0668 loss: 0.2070 2022/08/27 04:34:04 - mmengine - INFO - Epoch(train) [416][50/63] lr: 1.0000e-06 eta: 12:36:24 time: 2.0464 data_time: 0.1641 memory: 28971 loss_text: 0.1529 loss_kernel: 0.0717 loss: 0.2246 2022/08/27 04:34:20 - mmengine - INFO - Epoch(train) [416][55/63] lr: 1.0000e-06 eta: 12:36:24 time: 3.1651 data_time: 0.1783 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0677 loss: 0.2130 2022/08/27 04:34:31 - mmengine - INFO - Epoch(train) [416][60/63] lr: 1.0000e-06 eta: 12:35:39 time: 2.7296 data_time: 0.2008 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0550 loss: 0.1703 2022/08/27 04:34:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:36:20 - mmengine - INFO - Epoch(train) [417][5/63] lr: 1.0000e-06 eta: 12:35:39 time: 11.0851 data_time: 9.2874 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0659 loss: 0.2046 2022/08/27 04:36:25 - mmengine - INFO - Epoch(train) [417][10/63] lr: 1.0000e-06 eta: 12:35:15 time: 11.0959 data_time: 9.3210 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0585 loss: 0.1805 2022/08/27 04:36:43 - mmengine - INFO - Epoch(train) [417][15/63] lr: 1.0000e-06 eta: 12:35:15 time: 2.3230 data_time: 0.1849 memory: 28971 loss_text: 0.1198 loss_kernel: 0.0552 loss: 0.1749 2022/08/27 04:36:49 - mmengine - INFO - Epoch(train) [417][20/63] lr: 1.0000e-06 eta: 12:34:29 time: 2.3101 data_time: 0.1941 memory: 28971 loss_text: 0.0998 loss_kernel: 0.0479 loss: 0.1476 2022/08/27 04:37:06 - mmengine - INFO - Epoch(train) [417][25/63] lr: 1.0000e-06 eta: 12:34:29 time: 2.2981 data_time: 0.0877 memory: 28971 loss_text: 0.1100 loss_kernel: 0.0531 loss: 0.1631 2022/08/27 04:37:11 - mmengine - INFO - Epoch(train) [417][30/63] lr: 1.0000e-06 eta: 12:33:43 time: 2.2498 data_time: 0.0719 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0656 loss: 0.2058 2022/08/27 04:37:29 - mmengine - INFO - Epoch(train) [417][35/63] lr: 1.0000e-06 eta: 12:33:43 time: 2.3109 data_time: 0.1477 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0626 loss: 0.1956 2022/08/27 04:37:34 - mmengine - INFO - Epoch(train) [417][40/63] lr: 1.0000e-06 eta: 12:32:56 time: 2.2848 data_time: 0.1219 memory: 28971 loss_text: 0.1354 loss_kernel: 0.0631 loss: 0.1985 2022/08/27 04:37:54 - mmengine - INFO - Epoch(train) [417][45/63] lr: 1.0000e-06 eta: 12:32:56 time: 2.4197 data_time: 0.1737 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0604 loss: 0.1903 2022/08/27 04:37:58 - mmengine - INFO - Epoch(train) [417][50/63] lr: 1.0000e-06 eta: 12:32:11 time: 2.4267 data_time: 0.1969 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0554 loss: 0.1737 2022/08/27 04:38:18 - mmengine - INFO - Epoch(train) [417][55/63] lr: 1.0000e-06 eta: 12:32:11 time: 2.3832 data_time: 0.0917 memory: 28971 loss_text: 0.1075 loss_kernel: 0.0513 loss: 0.1588 2022/08/27 04:38:23 - mmengine - INFO - Epoch(train) [417][60/63] lr: 1.0000e-06 eta: 12:31:25 time: 2.5128 data_time: 0.2179 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0575 loss: 0.1810 2022/08/27 04:38:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:40:29 - mmengine - INFO - Epoch(train) [418][5/63] lr: 1.0000e-06 eta: 12:31:25 time: 12.6488 data_time: 9.5599 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0607 loss: 0.1915 2022/08/27 04:40:35 - mmengine - INFO - Epoch(train) [418][10/63] lr: 1.0000e-06 eta: 12:31:03 time: 11.5313 data_time: 9.6117 memory: 28971 loss_text: 0.1014 loss_kernel: 0.0486 loss: 0.1500 2022/08/27 04:41:00 - mmengine - INFO - Epoch(train) [418][15/63] lr: 1.0000e-06 eta: 12:31:03 time: 3.1359 data_time: 0.1568 memory: 28971 loss_text: 0.1024 loss_kernel: 0.0494 loss: 0.1518 2022/08/27 04:41:23 - mmengine - INFO - Epoch(train) [418][20/63] lr: 1.0000e-06 eta: 12:30:28 time: 4.7830 data_time: 0.3559 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0631 loss: 0.1962 2022/08/27 04:41:45 - mmengine - INFO - Epoch(train) [418][25/63] lr: 1.0000e-06 eta: 12:30:28 time: 4.4740 data_time: 0.3325 memory: 28971 loss_text: 0.1355 loss_kernel: 0.0647 loss: 0.2002 2022/08/27 04:41:56 - mmengine - INFO - Epoch(train) [418][30/63] lr: 1.0000e-06 eta: 12:29:46 time: 3.2957 data_time: 0.1462 memory: 28971 loss_text: 0.1366 loss_kernel: 0.0644 loss: 0.2010 2022/08/27 04:42:11 - mmengine - INFO - Epoch(train) [418][35/63] lr: 1.0000e-06 eta: 12:29:46 time: 2.6070 data_time: 0.1233 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0603 loss: 0.1880 2022/08/27 04:42:17 - mmengine - INFO - Epoch(train) [418][40/63] lr: 1.0000e-06 eta: 12:28:59 time: 2.1409 data_time: 0.1562 memory: 28971 loss_text: 0.1314 loss_kernel: 0.0619 loss: 0.1933 2022/08/27 04:42:33 - mmengine - INFO - Epoch(train) [418][45/63] lr: 1.0000e-06 eta: 12:28:59 time: 2.2533 data_time: 0.1501 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0676 loss: 0.2128 2022/08/27 04:42:38 - mmengine - INFO - Epoch(train) [418][50/63] lr: 1.0000e-06 eta: 12:28:12 time: 2.0942 data_time: 0.0949 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0695 loss: 0.2188 2022/08/27 04:42:58 - mmengine - INFO - Epoch(train) [418][55/63] lr: 1.0000e-06 eta: 12:28:12 time: 2.4604 data_time: 0.1672 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0665 loss: 0.2094 2022/08/27 04:43:04 - mmengine - INFO - Epoch(train) [418][60/63] lr: 1.0000e-06 eta: 12:27:27 time: 2.5590 data_time: 0.1814 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0671 loss: 0.2118 2022/08/27 04:43:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:44:56 - mmengine - INFO - Epoch(train) [419][5/63] lr: 1.0000e-06 eta: 12:27:27 time: 11.4112 data_time: 8.6747 memory: 28971 loss_text: 0.1466 loss_kernel: 0.0674 loss: 0.2140 2022/08/27 04:45:00 - mmengine - INFO - Epoch(train) [419][10/63] lr: 1.0000e-06 eta: 12:26:58 time: 10.0730 data_time: 8.6922 memory: 28971 loss_text: 0.1595 loss_kernel: 0.0729 loss: 0.2325 2022/08/27 04:45:10 - mmengine - INFO - Epoch(train) [419][15/63] lr: 1.0000e-06 eta: 12:26:58 time: 1.3564 data_time: 0.0742 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0617 loss: 0.1940 2022/08/27 04:45:14 - mmengine - INFO - Epoch(train) [419][20/63] lr: 1.0000e-06 eta: 12:26:07 time: 1.3663 data_time: 0.0759 memory: 28971 loss_text: 0.1061 loss_kernel: 0.0511 loss: 0.1572 2022/08/27 04:45:19 - mmengine - INFO - Epoch(train) [419][25/63] lr: 1.0000e-06 eta: 12:26:07 time: 0.9396 data_time: 0.0416 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0615 loss: 0.1933 2022/08/27 04:45:26 - mmengine - INFO - Epoch(train) [419][30/63] lr: 1.0000e-06 eta: 12:25:17 time: 1.2087 data_time: 0.0363 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0545 loss: 0.1701 2022/08/27 04:45:33 - mmengine - INFO - Epoch(train) [419][35/63] lr: 1.0000e-06 eta: 12:25:17 time: 1.3515 data_time: 0.0545 memory: 28971 loss_text: 0.0974 loss_kernel: 0.0475 loss: 0.1448 2022/08/27 04:45:38 - mmengine - INFO - Epoch(train) [419][40/63] lr: 1.0000e-06 eta: 12:24:26 time: 1.1539 data_time: 0.0586 memory: 28971 loss_text: 0.1377 loss_kernel: 0.0651 loss: 0.2028 2022/08/27 04:45:43 - mmengine - INFO - Epoch(train) [419][45/63] lr: 1.0000e-06 eta: 12:24:26 time: 1.0599 data_time: 0.0579 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0756 loss: 0.2383 2022/08/27 04:45:52 - mmengine - INFO - Epoch(train) [419][50/63] lr: 1.0000e-06 eta: 12:23:36 time: 1.4595 data_time: 0.0947 memory: 28971 loss_text: 0.1242 loss_kernel: 0.0580 loss: 0.1821 2022/08/27 04:45:57 - mmengine - INFO - Epoch(train) [419][55/63] lr: 1.0000e-06 eta: 12:23:36 time: 1.3747 data_time: 0.0839 memory: 28971 loss_text: 0.0877 loss_kernel: 0.0438 loss: 0.1315 2022/08/27 04:46:01 - mmengine - INFO - Epoch(train) [419][60/63] lr: 1.0000e-06 eta: 12:22:44 time: 0.8902 data_time: 0.0344 memory: 28971 loss_text: 0.1013 loss_kernel: 0.0491 loss: 0.1504 2022/08/27 04:46:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:47:45 - mmengine - INFO - Epoch(train) [420][5/63] lr: 1.0000e-06 eta: 12:22:44 time: 10.4889 data_time: 8.5592 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0663 loss: 0.2088 2022/08/27 04:47:49 - mmengine - INFO - Epoch(train) [420][10/63] lr: 1.0000e-06 eta: 12:22:14 time: 9.8620 data_time: 8.5678 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0631 loss: 0.1961 2022/08/27 04:47:56 - mmengine - INFO - Epoch(train) [420][15/63] lr: 1.0000e-06 eta: 12:22:14 time: 1.0585 data_time: 0.0382 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0582 loss: 0.1804 2022/08/27 04:48:02 - mmengine - INFO - Epoch(train) [420][20/63] lr: 1.0000e-06 eta: 12:21:23 time: 1.3018 data_time: 0.0653 memory: 28971 loss_text: 0.1184 loss_kernel: 0.0567 loss: 0.1751 2022/08/27 04:48:07 - mmengine - INFO - Epoch(train) [420][25/63] lr: 1.0000e-06 eta: 12:21:23 time: 1.1955 data_time: 0.0588 memory: 28971 loss_text: 0.1198 loss_kernel: 0.0584 loss: 0.1781 2022/08/27 04:48:12 - mmengine - INFO - Epoch(train) [420][30/63] lr: 1.0000e-06 eta: 12:20:32 time: 0.9886 data_time: 0.0322 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0668 loss: 0.2060 2022/08/27 04:48:21 - mmengine - INFO - Epoch(train) [420][35/63] lr: 1.0000e-06 eta: 12:20:32 time: 1.3436 data_time: 0.0871 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0570 loss: 0.1782 2022/08/27 04:48:25 - mmengine - INFO - Epoch(train) [420][40/63] lr: 1.0000e-06 eta: 12:19:41 time: 1.3087 data_time: 0.0901 memory: 28971 loss_text: 0.1157 loss_kernel: 0.0541 loss: 0.1698 2022/08/27 04:48:29 - mmengine - INFO - Epoch(train) [420][45/63] lr: 1.0000e-06 eta: 12:19:41 time: 0.8563 data_time: 0.0367 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0624 loss: 0.1987 2022/08/27 04:48:34 - mmengine - INFO - Epoch(train) [420][50/63] lr: 1.0000e-06 eta: 12:18:50 time: 0.9066 data_time: 0.0257 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0605 loss: 0.1910 2022/08/27 04:48:45 - mmengine - INFO - Epoch(train) [420][55/63] lr: 1.0000e-06 eta: 12:18:50 time: 1.5270 data_time: 0.0571 memory: 28971 loss_text: 0.1011 loss_kernel: 0.0489 loss: 0.1500 2022/08/27 04:48:49 - mmengine - INFO - Epoch(train) [420][60/63] lr: 1.0000e-06 eta: 12:18:00 time: 1.4960 data_time: 0.0795 memory: 28971 loss_text: 0.0944 loss_kernel: 0.0451 loss: 0.1395 2022/08/27 04:48:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:48:52 - mmengine - INFO - Saving checkpoint at 420 epochs 2022/08/27 04:50:44 - mmengine - INFO - Epoch(train) [421][5/63] lr: 1.0000e-06 eta: 12:18:00 time: 10.9885 data_time: 9.3690 memory: 28971 loss_text: 0.1656 loss_kernel: 0.0769 loss: 0.2425 2022/08/27 04:50:50 - mmengine - INFO - Epoch(train) [421][10/63] lr: 1.0000e-06 eta: 12:17:35 time: 11.1355 data_time: 9.4029 memory: 28971 loss_text: 0.1770 loss_kernel: 0.0811 loss: 0.2581 2022/08/27 04:51:05 - mmengine - INFO - Epoch(train) [421][15/63] lr: 1.0000e-06 eta: 12:17:35 time: 2.0472 data_time: 0.0844 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0676 loss: 0.2143 2022/08/27 04:51:10 - mmengine - INFO - Epoch(train) [421][20/63] lr: 1.0000e-06 eta: 12:16:48 time: 2.0128 data_time: 0.1249 memory: 28971 loss_text: 0.1075 loss_kernel: 0.0521 loss: 0.1597 2022/08/27 04:51:26 - mmengine - INFO - Epoch(train) [421][25/63] lr: 1.0000e-06 eta: 12:16:48 time: 2.1436 data_time: 0.1021 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0606 loss: 0.1872 2022/08/27 04:51:47 - mmengine - INFO - Epoch(train) [421][30/63] lr: 1.0000e-06 eta: 12:16:08 time: 3.7334 data_time: 0.3520 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0678 loss: 0.2128 2022/08/27 04:52:00 - mmengine - INFO - Epoch(train) [421][35/63] lr: 1.0000e-06 eta: 12:16:08 time: 3.4272 data_time: 0.4252 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0573 loss: 0.1784 2022/08/27 04:52:05 - mmengine - INFO - Epoch(train) [421][40/63] lr: 1.0000e-06 eta: 12:15:20 time: 1.7669 data_time: 0.1172 memory: 28971 loss_text: 0.1114 loss_kernel: 0.0522 loss: 0.1636 2022/08/27 04:52:15 - mmengine - INFO - Epoch(train) [421][45/63] lr: 1.0000e-06 eta: 12:15:20 time: 1.4313 data_time: 0.0476 memory: 28971 loss_text: 0.1148 loss_kernel: 0.0540 loss: 0.1688 2022/08/27 04:52:31 - mmengine - INFO - Epoch(train) [421][50/63] lr: 1.0000e-06 eta: 12:14:36 time: 2.5853 data_time: 0.0886 memory: 28971 loss_text: 0.1138 loss_kernel: 0.0544 loss: 0.1683 2022/08/27 04:52:44 - mmengine - INFO - Epoch(train) [421][55/63] lr: 1.0000e-06 eta: 12:14:36 time: 2.9561 data_time: 0.2155 memory: 28971 loss_text: 0.1158 loss_kernel: 0.0548 loss: 0.1706 2022/08/27 04:53:04 - mmengine - INFO - Epoch(train) [421][60/63] lr: 1.0000e-06 eta: 12:13:54 time: 3.3175 data_time: 0.2548 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0540 loss: 0.1656 2022/08/27 04:53:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:55:03 - mmengine - INFO - Epoch(train) [422][5/63] lr: 1.0000e-06 eta: 12:13:54 time: 12.0489 data_time: 9.0913 memory: 28971 loss_text: 0.1186 loss_kernel: 0.0551 loss: 0.1738 2022/08/27 04:55:08 - mmengine - INFO - Epoch(train) [422][10/63] lr: 1.0000e-06 eta: 12:13:26 time: 10.5260 data_time: 8.9884 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0625 loss: 0.1963 2022/08/27 04:55:23 - mmengine - INFO - Epoch(train) [422][15/63] lr: 1.0000e-06 eta: 12:13:26 time: 1.9274 data_time: 0.1173 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0657 loss: 0.2066 2022/08/27 04:55:27 - mmengine - INFO - Epoch(train) [422][20/63] lr: 1.0000e-06 eta: 12:12:39 time: 1.9073 data_time: 0.1324 memory: 28971 loss_text: 0.1570 loss_kernel: 0.0726 loss: 0.2296 2022/08/27 04:55:41 - mmengine - INFO - Epoch(train) [422][25/63] lr: 1.0000e-06 eta: 12:12:39 time: 1.8917 data_time: 0.1133 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0699 loss: 0.2190 2022/08/27 04:55:46 - mmengine - INFO - Epoch(train) [422][30/63] lr: 1.0000e-06 eta: 12:11:51 time: 1.9240 data_time: 0.0904 memory: 28971 loss_text: 0.1478 loss_kernel: 0.0694 loss: 0.2172 2022/08/27 04:56:02 - mmengine - INFO - Epoch(train) [422][35/63] lr: 1.0000e-06 eta: 12:11:51 time: 2.0849 data_time: 0.0624 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0624 loss: 0.1955 2022/08/27 04:56:07 - mmengine - INFO - Epoch(train) [422][40/63] lr: 1.0000e-06 eta: 12:11:05 time: 2.0616 data_time: 0.0907 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0599 loss: 0.1867 2022/08/27 04:56:15 - mmengine - INFO - Epoch(train) [422][45/63] lr: 1.0000e-06 eta: 12:11:05 time: 1.2481 data_time: 0.0856 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0755 loss: 0.2404 2022/08/27 04:56:26 - mmengine - INFO - Epoch(train) [422][50/63] lr: 1.0000e-06 eta: 12:10:17 time: 1.8984 data_time: 0.1400 memory: 28971 loss_text: 0.1529 loss_kernel: 0.0705 loss: 0.2233 2022/08/27 04:56:42 - mmengine - INFO - Epoch(train) [422][55/63] lr: 1.0000e-06 eta: 12:10:17 time: 2.7603 data_time: 0.2688 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0673 loss: 0.2128 2022/08/27 04:56:50 - mmengine - INFO - Epoch(train) [422][60/63] lr: 1.0000e-06 eta: 12:09:32 time: 2.3669 data_time: 0.2086 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0602 loss: 0.1874 2022/08/27 04:57:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 04:58:44 - mmengine - INFO - Epoch(train) [423][5/63] lr: 1.0000e-06 eta: 12:09:32 time: 11.5401 data_time: 8.9004 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0620 loss: 0.1889 2022/08/27 04:58:49 - mmengine - INFO - Epoch(train) [423][10/63] lr: 1.0000e-06 eta: 12:09:04 time: 10.5092 data_time: 8.9399 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0597 loss: 0.1866 2022/08/27 04:59:08 - mmengine - INFO - Epoch(train) [423][15/63] lr: 1.0000e-06 eta: 12:09:04 time: 2.3869 data_time: 0.1263 memory: 28971 loss_text: 0.1048 loss_kernel: 0.0496 loss: 0.1544 2022/08/27 04:59:12 - mmengine - INFO - Epoch(train) [423][20/63] lr: 1.0000e-06 eta: 12:08:18 time: 2.3397 data_time: 0.1241 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0606 loss: 0.1973 2022/08/27 04:59:28 - mmengine - INFO - Epoch(train) [423][25/63] lr: 1.0000e-06 eta: 12:08:18 time: 1.9908 data_time: 0.1694 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0535 loss: 0.1722 2022/08/27 04:59:32 - mmengine - INFO - Epoch(train) [423][30/63] lr: 1.0000e-06 eta: 12:07:31 time: 1.9745 data_time: 0.1542 memory: 28971 loss_text: 0.0957 loss_kernel: 0.0468 loss: 0.1425 2022/08/27 04:59:46 - mmengine - INFO - Epoch(train) [423][35/63] lr: 1.0000e-06 eta: 12:07:31 time: 1.8875 data_time: 0.0695 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0613 loss: 0.1909 2022/08/27 04:59:52 - mmengine - INFO - Epoch(train) [423][40/63] lr: 1.0000e-06 eta: 12:06:44 time: 2.0183 data_time: 0.0989 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0591 loss: 0.1837 2022/08/27 05:00:07 - mmengine - INFO - Epoch(train) [423][45/63] lr: 1.0000e-06 eta: 12:06:44 time: 2.0888 data_time: 0.1637 memory: 28971 loss_text: 0.0896 loss_kernel: 0.0437 loss: 0.1334 2022/08/27 05:00:12 - mmengine - INFO - Epoch(train) [423][50/63] lr: 1.0000e-06 eta: 12:05:57 time: 1.9646 data_time: 0.1555 memory: 28971 loss_text: 0.1044 loss_kernel: 0.0498 loss: 0.1542 2022/08/27 05:00:28 - mmengine - INFO - Epoch(train) [423][55/63] lr: 1.0000e-06 eta: 12:05:57 time: 2.1008 data_time: 0.0882 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0568 loss: 0.1775 2022/08/27 05:00:34 - mmengine - INFO - Epoch(train) [423][60/63] lr: 1.0000e-06 eta: 12:05:11 time: 2.2505 data_time: 0.1698 memory: 28971 loss_text: 0.0984 loss_kernel: 0.0480 loss: 0.1464 2022/08/27 05:00:40 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:02:27 - mmengine - INFO - Epoch(train) [424][5/63] lr: 1.0000e-06 eta: 12:05:11 time: 11.3456 data_time: 9.1302 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0622 loss: 0.1926 2022/08/27 05:02:32 - mmengine - INFO - Epoch(train) [424][10/63] lr: 1.0000e-06 eta: 12:04:46 time: 11.1145 data_time: 9.1669 memory: 28971 loss_text: 0.1509 loss_kernel: 0.0700 loss: 0.2209 2022/08/27 05:02:50 - mmengine - INFO - Epoch(train) [424][15/63] lr: 1.0000e-06 eta: 12:04:46 time: 2.3068 data_time: 0.1030 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0639 loss: 0.2006 2022/08/27 05:02:55 - mmengine - INFO - Epoch(train) [424][20/63] lr: 1.0000e-06 eta: 12:04:00 time: 2.3183 data_time: 0.1388 memory: 28971 loss_text: 0.1185 loss_kernel: 0.0555 loss: 0.1740 2022/08/27 05:03:12 - mmengine - INFO - Epoch(train) [424][25/63] lr: 1.0000e-06 eta: 12:04:00 time: 2.2468 data_time: 0.1216 memory: 28971 loss_text: 0.1414 loss_kernel: 0.0653 loss: 0.2067 2022/08/27 05:03:17 - mmengine - INFO - Epoch(train) [424][30/63] lr: 1.0000e-06 eta: 12:03:14 time: 2.2175 data_time: 0.0781 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0725 loss: 0.2305 2022/08/27 05:03:33 - mmengine - INFO - Epoch(train) [424][35/63] lr: 1.0000e-06 eta: 12:03:14 time: 2.0745 data_time: 0.1180 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0730 loss: 0.2342 2022/08/27 05:03:37 - mmengine - INFO - Epoch(train) [424][40/63] lr: 1.0000e-06 eta: 12:02:27 time: 2.0448 data_time: 0.1171 memory: 28971 loss_text: 0.1503 loss_kernel: 0.0694 loss: 0.2197 2022/08/27 05:03:52 - mmengine - INFO - Epoch(train) [424][45/63] lr: 1.0000e-06 eta: 12:02:27 time: 1.8950 data_time: 0.0894 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0610 loss: 0.1906 2022/08/27 05:03:57 - mmengine - INFO - Epoch(train) [424][50/63] lr: 1.0000e-06 eta: 12:01:40 time: 1.9471 data_time: 0.1296 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0585 loss: 0.1813 2022/08/27 05:04:15 - mmengine - INFO - Epoch(train) [424][55/63] lr: 1.0000e-06 eta: 12:01:40 time: 2.2710 data_time: 0.1236 memory: 28971 loss_text: 0.1093 loss_kernel: 0.0516 loss: 0.1609 2022/08/27 05:04:25 - mmengine - INFO - Epoch(train) [424][60/63] lr: 1.0000e-06 eta: 12:00:56 time: 2.8371 data_time: 0.1430 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0605 loss: 0.1924 2022/08/27 05:04:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:06:18 - mmengine - INFO - Epoch(train) [425][5/63] lr: 1.0000e-06 eta: 12:00:56 time: 11.9511 data_time: 9.2344 memory: 28971 loss_text: 0.1132 loss_kernel: 0.0548 loss: 0.1680 2022/08/27 05:06:24 - mmengine - INFO - Epoch(train) [425][10/63] lr: 1.0000e-06 eta: 12:00:30 time: 10.9889 data_time: 9.2536 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0609 loss: 0.1910 2022/08/27 05:06:39 - mmengine - INFO - Epoch(train) [425][15/63] lr: 1.0000e-06 eta: 12:00:30 time: 2.0320 data_time: 0.0832 memory: 28971 loss_text: 0.1162 loss_kernel: 0.0550 loss: 0.1712 2022/08/27 05:06:43 - mmengine - INFO - Epoch(train) [425][20/63] lr: 1.0000e-06 eta: 11:59:43 time: 1.9144 data_time: 0.0650 memory: 28971 loss_text: 0.1086 loss_kernel: 0.0524 loss: 0.1610 2022/08/27 05:06:59 - mmengine - INFO - Epoch(train) [425][25/63] lr: 1.0000e-06 eta: 11:59:43 time: 2.0338 data_time: 0.1512 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0664 loss: 0.2083 2022/08/27 05:07:03 - mmengine - INFO - Epoch(train) [425][30/63] lr: 1.0000e-06 eta: 11:58:56 time: 2.0016 data_time: 0.1455 memory: 28971 loss_text: 0.1400 loss_kernel: 0.0647 loss: 0.2046 2022/08/27 05:07:19 - mmengine - INFO - Epoch(train) [425][35/63] lr: 1.0000e-06 eta: 11:58:56 time: 2.0302 data_time: 0.0948 memory: 28971 loss_text: 0.1223 loss_kernel: 0.0561 loss: 0.1784 2022/08/27 05:07:24 - mmengine - INFO - Epoch(train) [425][40/63] lr: 1.0000e-06 eta: 11:58:09 time: 2.0124 data_time: 0.0844 memory: 28971 loss_text: 0.1139 loss_kernel: 0.0534 loss: 0.1673 2022/08/27 05:07:40 - mmengine - INFO - Epoch(train) [425][45/63] lr: 1.0000e-06 eta: 11:58:09 time: 2.0491 data_time: 0.1070 memory: 28971 loss_text: 0.1405 loss_kernel: 0.0651 loss: 0.2056 2022/08/27 05:07:57 - mmengine - INFO - Epoch(train) [425][50/63] lr: 1.0000e-06 eta: 11:57:28 time: 3.3263 data_time: 0.1560 memory: 28971 loss_text: 0.1342 loss_kernel: 0.0627 loss: 0.1970 2022/08/27 05:08:05 - mmengine - INFO - Epoch(train) [425][55/63] lr: 1.0000e-06 eta: 11:57:28 time: 2.5659 data_time: 0.1487 memory: 28971 loss_text: 0.0875 loss_kernel: 0.0429 loss: 0.1303 2022/08/27 05:08:18 - mmengine - INFO - Epoch(train) [425][60/63] lr: 1.0000e-06 eta: 11:56:42 time: 2.1075 data_time: 0.1655 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0562 loss: 0.1764 2022/08/27 05:08:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:10:03 - mmengine - INFO - Epoch(train) [426][5/63] lr: 1.0000e-06 eta: 11:56:42 time: 10.7221 data_time: 8.7844 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0601 loss: 0.1886 2022/08/27 05:10:08 - mmengine - INFO - Epoch(train) [426][10/63] lr: 1.0000e-06 eta: 11:56:13 time: 10.3362 data_time: 8.8011 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0611 loss: 0.1938 2022/08/27 05:10:23 - mmengine - INFO - Epoch(train) [426][15/63] lr: 1.0000e-06 eta: 11:56:13 time: 1.9713 data_time: 0.0794 memory: 28971 loss_text: 0.1396 loss_kernel: 0.0631 loss: 0.2026 2022/08/27 05:10:28 - mmengine - INFO - Epoch(train) [426][20/63] lr: 1.0000e-06 eta: 11:55:26 time: 1.9493 data_time: 0.0845 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0626 loss: 0.1987 2022/08/27 05:10:44 - mmengine - INFO - Epoch(train) [426][25/63] lr: 1.0000e-06 eta: 11:55:26 time: 2.1073 data_time: 0.1348 memory: 28971 loss_text: 0.1583 loss_kernel: 0.0743 loss: 0.2325 2022/08/27 05:10:49 - mmengine - INFO - Epoch(train) [426][30/63] lr: 1.0000e-06 eta: 11:54:39 time: 2.1193 data_time: 0.1320 memory: 28971 loss_text: 0.1700 loss_kernel: 0.0795 loss: 0.2495 2022/08/27 05:11:04 - mmengine - INFO - Epoch(train) [426][35/63] lr: 1.0000e-06 eta: 11:54:39 time: 1.9963 data_time: 0.1355 memory: 28971 loss_text: 0.1542 loss_kernel: 0.0717 loss: 0.2259 2022/08/27 05:11:09 - mmengine - INFO - Epoch(train) [426][40/63] lr: 1.0000e-06 eta: 11:53:53 time: 2.0055 data_time: 0.1351 memory: 28971 loss_text: 0.1313 loss_kernel: 0.0613 loss: 0.1927 2022/08/27 05:11:29 - mmengine - INFO - Epoch(train) [426][45/63] lr: 1.0000e-06 eta: 11:53:53 time: 2.4365 data_time: 0.0961 memory: 28971 loss_text: 0.1120 loss_kernel: 0.0526 loss: 0.1646 2022/08/27 05:11:33 - mmengine - INFO - Epoch(train) [426][50/63] lr: 1.0000e-06 eta: 11:53:08 time: 2.4490 data_time: 0.1007 memory: 28971 loss_text: 0.1014 loss_kernel: 0.0486 loss: 0.1499 2022/08/27 05:11:49 - mmengine - INFO - Epoch(train) [426][55/63] lr: 1.0000e-06 eta: 11:53:08 time: 2.0176 data_time: 0.1708 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0552 loss: 0.1674 2022/08/27 05:11:53 - mmengine - INFO - Epoch(train) [426][60/63] lr: 1.0000e-06 eta: 11:52:21 time: 2.0139 data_time: 0.2024 memory: 28971 loss_text: 0.1197 loss_kernel: 0.0585 loss: 0.1781 2022/08/27 05:12:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:13:53 - mmengine - INFO - Epoch(train) [427][5/63] lr: 1.0000e-06 eta: 11:52:21 time: 12.0737 data_time: 9.2798 memory: 28971 loss_text: 0.1103 loss_kernel: 0.0531 loss: 0.1634 2022/08/27 05:13:59 - mmengine - INFO - Epoch(train) [427][10/63] lr: 1.0000e-06 eta: 11:51:54 time: 11.0158 data_time: 9.3372 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0658 loss: 0.2071 2022/08/27 05:14:18 - mmengine - INFO - Epoch(train) [427][15/63] lr: 1.0000e-06 eta: 11:51:54 time: 2.5136 data_time: 0.2511 memory: 28971 loss_text: 0.1530 loss_kernel: 0.0707 loss: 0.2237 2022/08/27 05:14:23 - mmengine - INFO - Epoch(train) [427][20/63] lr: 1.0000e-06 eta: 11:51:09 time: 2.3897 data_time: 0.2203 memory: 28971 loss_text: 0.1523 loss_kernel: 0.0706 loss: 0.2229 2022/08/27 05:14:38 - mmengine - INFO - Epoch(train) [427][25/63] lr: 1.0000e-06 eta: 11:51:09 time: 1.9489 data_time: 0.1061 memory: 28971 loss_text: 0.1720 loss_kernel: 0.0781 loss: 0.2501 2022/08/27 05:14:43 - mmengine - INFO - Epoch(train) [427][30/63] lr: 1.0000e-06 eta: 11:50:23 time: 1.9983 data_time: 0.1109 memory: 28971 loss_text: 0.1673 loss_kernel: 0.0764 loss: 0.2437 2022/08/27 05:14:56 - mmengine - INFO - Epoch(train) [427][35/63] lr: 1.0000e-06 eta: 11:50:23 time: 1.8200 data_time: 0.1532 memory: 28971 loss_text: 0.1104 loss_kernel: 0.0528 loss: 0.1632 2022/08/27 05:15:01 - mmengine - INFO - Epoch(train) [427][40/63] lr: 1.0000e-06 eta: 11:49:35 time: 1.8047 data_time: 0.1897 memory: 28971 loss_text: 0.1094 loss_kernel: 0.0522 loss: 0.1616 2022/08/27 05:15:18 - mmengine - INFO - Epoch(train) [427][45/63] lr: 1.0000e-06 eta: 11:49:35 time: 2.1810 data_time: 0.1553 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0651 loss: 0.2038 2022/08/27 05:15:23 - mmengine - INFO - Epoch(train) [427][50/63] lr: 1.0000e-06 eta: 11:48:49 time: 2.1597 data_time: 0.1355 memory: 28971 loss_text: 0.1486 loss_kernel: 0.0692 loss: 0.2178 2022/08/27 05:15:41 - mmengine - INFO - Epoch(train) [427][55/63] lr: 1.0000e-06 eta: 11:48:49 time: 2.3376 data_time: 0.1240 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0643 loss: 0.2010 2022/08/27 05:15:46 - mmengine - INFO - Epoch(train) [427][60/63] lr: 1.0000e-06 eta: 11:48:04 time: 2.3053 data_time: 0.1170 memory: 28971 loss_text: 0.1136 loss_kernel: 0.0543 loss: 0.1679 2022/08/27 05:15:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:17:34 - mmengine - INFO - Epoch(train) [428][5/63] lr: 1.0000e-06 eta: 11:48:04 time: 10.8857 data_time: 9.2017 memory: 28971 loss_text: 0.1188 loss_kernel: 0.0570 loss: 0.1758 2022/08/27 05:17:39 - mmengine - INFO - Epoch(train) [428][10/63] lr: 1.0000e-06 eta: 11:47:37 time: 10.8854 data_time: 9.2152 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0650 loss: 0.2017 2022/08/27 05:17:53 - mmengine - INFO - Epoch(train) [428][15/63] lr: 1.0000e-06 eta: 11:47:37 time: 1.9212 data_time: 0.0696 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0662 loss: 0.2062 2022/08/27 05:17:58 - mmengine - INFO - Epoch(train) [428][20/63] lr: 1.0000e-06 eta: 11:46:49 time: 1.8687 data_time: 0.1119 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0581 loss: 0.1811 2022/08/27 05:18:12 - mmengine - INFO - Epoch(train) [428][25/63] lr: 1.0000e-06 eta: 11:46:49 time: 1.9395 data_time: 0.1293 memory: 28971 loss_text: 0.0975 loss_kernel: 0.0469 loss: 0.1444 2022/08/27 05:18:17 - mmengine - INFO - Epoch(train) [428][30/63] lr: 1.0000e-06 eta: 11:46:02 time: 1.9410 data_time: 0.0801 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0604 loss: 0.1901 2022/08/27 05:18:32 - mmengine - INFO - Epoch(train) [428][35/63] lr: 1.0000e-06 eta: 11:46:02 time: 1.9287 data_time: 0.1250 memory: 28971 loss_text: 0.1667 loss_kernel: 0.0769 loss: 0.2436 2022/08/27 05:18:37 - mmengine - INFO - Epoch(train) [428][40/63] lr: 1.0000e-06 eta: 11:45:16 time: 1.9319 data_time: 0.1187 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0671 loss: 0.2122 2022/08/27 05:18:51 - mmengine - INFO - Epoch(train) [428][45/63] lr: 1.0000e-06 eta: 11:45:16 time: 1.9539 data_time: 0.0933 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0663 loss: 0.2114 2022/08/27 05:18:56 - mmengine - INFO - Epoch(train) [428][50/63] lr: 1.0000e-06 eta: 11:44:29 time: 1.9722 data_time: 0.1277 memory: 28971 loss_text: 0.1554 loss_kernel: 0.0713 loss: 0.2267 2022/08/27 05:19:13 - mmengine - INFO - Epoch(train) [428][55/63] lr: 1.0000e-06 eta: 11:44:29 time: 2.1734 data_time: 0.0746 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0578 loss: 0.1809 2022/08/27 05:19:25 - mmengine - INFO - Epoch(train) [428][60/63] lr: 1.0000e-06 eta: 11:43:46 time: 2.8623 data_time: 0.1754 memory: 28971 loss_text: 0.1185 loss_kernel: 0.0570 loss: 0.1755 2022/08/27 05:19:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:21:19 - mmengine - INFO - Epoch(train) [429][5/63] lr: 1.0000e-06 eta: 11:43:46 time: 12.1062 data_time: 9.2001 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0655 loss: 0.2028 2022/08/27 05:21:25 - mmengine - INFO - Epoch(train) [429][10/63] lr: 1.0000e-06 eta: 11:43:19 time: 10.9786 data_time: 9.2194 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0585 loss: 0.1815 2022/08/27 05:21:39 - mmengine - INFO - Epoch(train) [429][15/63] lr: 1.0000e-06 eta: 11:43:19 time: 1.9789 data_time: 0.1016 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0566 loss: 0.1773 2022/08/27 05:21:43 - mmengine - INFO - Epoch(train) [429][20/63] lr: 1.0000e-06 eta: 11:42:32 time: 1.8805 data_time: 0.1179 memory: 28971 loss_text: 0.1546 loss_kernel: 0.0710 loss: 0.2256 2022/08/27 05:21:59 - mmengine - INFO - Epoch(train) [429][25/63] lr: 1.0000e-06 eta: 11:42:32 time: 2.0169 data_time: 0.1154 memory: 28971 loss_text: 0.1601 loss_kernel: 0.0735 loss: 0.2337 2022/08/27 05:22:03 - mmengine - INFO - Epoch(train) [429][30/63] lr: 1.0000e-06 eta: 11:41:45 time: 1.9976 data_time: 0.1063 memory: 28971 loss_text: 0.1542 loss_kernel: 0.0704 loss: 0.2247 2022/08/27 05:22:19 - mmengine - INFO - Epoch(train) [429][35/63] lr: 1.0000e-06 eta: 11:41:45 time: 2.0093 data_time: 0.1825 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0694 loss: 0.2198 2022/08/27 05:22:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:22:24 - mmengine - INFO - Epoch(train) [429][40/63] lr: 1.0000e-06 eta: 11:40:59 time: 2.0230 data_time: 0.1893 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0689 loss: 0.2156 2022/08/27 05:22:40 - mmengine - INFO - Epoch(train) [429][45/63] lr: 1.0000e-06 eta: 11:40:59 time: 2.0606 data_time: 0.1441 memory: 28971 loss_text: 0.1441 loss_kernel: 0.0677 loss: 0.2118 2022/08/27 05:22:45 - mmengine - INFO - Epoch(train) [429][50/63] lr: 1.0000e-06 eta: 11:40:13 time: 2.0944 data_time: 0.1739 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0641 loss: 0.1994 2022/08/27 05:23:02 - mmengine - INFO - Epoch(train) [429][55/63] lr: 1.0000e-06 eta: 11:40:13 time: 2.2313 data_time: 0.1583 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0594 loss: 0.1888 2022/08/27 05:23:17 - mmengine - INFO - Epoch(train) [429][60/63] lr: 1.0000e-06 eta: 11:39:31 time: 3.2234 data_time: 0.1425 memory: 28971 loss_text: 0.1090 loss_kernel: 0.0508 loss: 0.1597 2022/08/27 05:23:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:25:04 - mmengine - INFO - Epoch(train) [430][5/63] lr: 1.0000e-06 eta: 11:39:31 time: 11.8788 data_time: 9.2789 memory: 28971 loss_text: 0.0956 loss_kernel: 0.0473 loss: 0.1429 2022/08/27 05:25:09 - mmengine - INFO - Epoch(train) [430][10/63] lr: 1.0000e-06 eta: 11:39:03 time: 10.8660 data_time: 9.2605 memory: 28971 loss_text: 0.1203 loss_kernel: 0.0575 loss: 0.1778 2022/08/27 05:25:24 - mmengine - INFO - Epoch(train) [430][15/63] lr: 1.0000e-06 eta: 11:39:03 time: 1.9453 data_time: 0.0931 memory: 28971 loss_text: 0.1005 loss_kernel: 0.0496 loss: 0.1501 2022/08/27 05:25:28 - mmengine - INFO - Epoch(train) [430][20/63] lr: 1.0000e-06 eta: 11:38:17 time: 1.9323 data_time: 0.0796 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0552 loss: 0.1708 2022/08/27 05:25:45 - mmengine - INFO - Epoch(train) [430][25/63] lr: 1.0000e-06 eta: 11:38:17 time: 2.0850 data_time: 0.0956 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0641 loss: 0.2020 2022/08/27 05:25:49 - mmengine - INFO - Epoch(train) [430][30/63] lr: 1.0000e-06 eta: 11:37:30 time: 2.0679 data_time: 0.0946 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0653 loss: 0.2041 2022/08/27 05:26:08 - mmengine - INFO - Epoch(train) [430][35/63] lr: 1.0000e-06 eta: 11:37:30 time: 2.3263 data_time: 0.0664 memory: 28971 loss_text: 0.1438 loss_kernel: 0.0674 loss: 0.2112 2022/08/27 05:26:12 - mmengine - INFO - Epoch(train) [430][40/63] lr: 1.0000e-06 eta: 11:36:45 time: 2.2853 data_time: 0.0498 memory: 28971 loss_text: 0.1146 loss_kernel: 0.0534 loss: 0.1681 2022/08/27 05:26:26 - mmengine - INFO - Epoch(train) [430][45/63] lr: 1.0000e-06 eta: 11:36:45 time: 1.8680 data_time: 0.0629 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0589 loss: 0.1847 2022/08/27 05:26:31 - mmengine - INFO - Epoch(train) [430][50/63] lr: 1.0000e-06 eta: 11:35:58 time: 1.9302 data_time: 0.1110 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0608 loss: 0.1877 2022/08/27 05:26:43 - mmengine - INFO - Epoch(train) [430][55/63] lr: 1.0000e-06 eta: 11:35:58 time: 1.6436 data_time: 0.0811 memory: 28971 loss_text: 0.1080 loss_kernel: 0.0525 loss: 0.1605 2022/08/27 05:26:52 - mmengine - INFO - Epoch(train) [430][60/63] lr: 1.0000e-06 eta: 11:35:12 time: 2.0623 data_time: 0.2146 memory: 28971 loss_text: 0.1162 loss_kernel: 0.0553 loss: 0.1715 2022/08/27 05:26:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:28:43 - mmengine - INFO - Epoch(train) [431][5/63] lr: 1.0000e-06 eta: 11:35:12 time: 11.2106 data_time: 9.2943 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0540 loss: 0.1673 2022/08/27 05:28:48 - mmengine - INFO - Epoch(train) [431][10/63] lr: 1.0000e-06 eta: 11:34:46 time: 11.2926 data_time: 9.3411 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0537 loss: 0.1659 2022/08/27 05:29:06 - mmengine - INFO - Epoch(train) [431][15/63] lr: 1.0000e-06 eta: 11:34:46 time: 2.2848 data_time: 0.1306 memory: 28971 loss_text: 0.1237 loss_kernel: 0.0594 loss: 0.1831 2022/08/27 05:29:25 - mmengine - INFO - Epoch(train) [431][20/63] lr: 1.0000e-06 eta: 11:34:06 time: 3.6114 data_time: 0.1490 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0617 loss: 0.1948 2022/08/27 05:29:30 - mmengine - INFO - Epoch(train) [431][25/63] lr: 1.0000e-06 eta: 11:34:06 time: 2.4721 data_time: 0.1917 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0690 loss: 0.2240 2022/08/27 05:29:36 - mmengine - INFO - Epoch(train) [431][30/63] lr: 1.0000e-06 eta: 11:33:16 time: 1.1076 data_time: 0.1355 memory: 28971 loss_text: 0.1485 loss_kernel: 0.0680 loss: 0.2164 2022/08/27 05:29:55 - mmengine - INFO - Epoch(train) [431][35/63] lr: 1.0000e-06 eta: 11:33:16 time: 2.4579 data_time: 0.0790 memory: 28971 loss_text: 0.1519 loss_kernel: 0.0699 loss: 0.2217 2022/08/27 05:29:59 - mmengine - INFO - Epoch(train) [431][40/63] lr: 1.0000e-06 eta: 11:32:31 time: 2.3732 data_time: 0.0981 memory: 28971 loss_text: 0.1184 loss_kernel: 0.0560 loss: 0.1744 2022/08/27 05:30:15 - mmengine - INFO - Epoch(train) [431][45/63] lr: 1.0000e-06 eta: 11:32:31 time: 2.0389 data_time: 0.1313 memory: 28971 loss_text: 0.1127 loss_kernel: 0.0543 loss: 0.1670 2022/08/27 05:30:20 - mmengine - INFO - Epoch(train) [431][50/63] lr: 1.0000e-06 eta: 11:31:45 time: 2.0417 data_time: 0.1354 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0647 loss: 0.2036 2022/08/27 05:30:38 - mmengine - INFO - Epoch(train) [431][55/63] lr: 1.0000e-06 eta: 11:31:45 time: 2.2421 data_time: 0.0584 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0604 loss: 0.1877 2022/08/27 05:30:43 - mmengine - INFO - Epoch(train) [431][60/63] lr: 1.0000e-06 eta: 11:31:00 time: 2.2808 data_time: 0.1083 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0694 loss: 0.2212 2022/08/27 05:30:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:32:28 - mmengine - INFO - Epoch(train) [432][5/63] lr: 1.0000e-06 eta: 11:31:00 time: 10.7290 data_time: 8.5540 memory: 28971 loss_text: 0.1121 loss_kernel: 0.0518 loss: 0.1639 2022/08/27 05:32:33 - mmengine - INFO - Epoch(train) [432][10/63] lr: 1.0000e-06 eta: 11:30:27 time: 9.6675 data_time: 8.5266 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0608 loss: 0.1917 2022/08/27 05:32:42 - mmengine - INFO - Epoch(train) [432][15/63] lr: 1.0000e-06 eta: 11:30:27 time: 1.3337 data_time: 0.0356 memory: 28971 loss_text: 0.1318 loss_kernel: 0.0617 loss: 0.1935 2022/08/27 05:32:46 - mmengine - INFO - Epoch(train) [432][20/63] lr: 1.0000e-06 eta: 11:29:38 time: 1.3659 data_time: 0.0564 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0629 loss: 0.1975 2022/08/27 05:32:54 - mmengine - INFO - Epoch(train) [432][25/63] lr: 1.0000e-06 eta: 11:29:38 time: 1.2337 data_time: 0.0460 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0674 loss: 0.2128 2022/08/27 05:32:59 - mmengine - INFO - Epoch(train) [432][30/63] lr: 1.0000e-06 eta: 11:28:49 time: 1.2762 data_time: 0.0417 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0628 loss: 0.1978 2022/08/27 05:33:04 - mmengine - INFO - Epoch(train) [432][35/63] lr: 1.0000e-06 eta: 11:28:49 time: 0.9599 data_time: 0.0536 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0611 loss: 0.1909 2022/08/27 05:33:09 - mmengine - INFO - Epoch(train) [432][40/63] lr: 1.0000e-06 eta: 11:27:59 time: 0.9686 data_time: 0.0243 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0628 loss: 0.1955 2022/08/27 05:33:14 - mmengine - INFO - Epoch(train) [432][45/63] lr: 1.0000e-06 eta: 11:27:59 time: 0.9942 data_time: 0.0326 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0545 loss: 0.1680 2022/08/27 05:33:19 - mmengine - INFO - Epoch(train) [432][50/63] lr: 1.0000e-06 eta: 11:27:09 time: 1.0015 data_time: 0.0419 memory: 28971 loss_text: 0.0871 loss_kernel: 0.0425 loss: 0.1295 2022/08/27 05:33:24 - mmengine - INFO - Epoch(train) [432][55/63] lr: 1.0000e-06 eta: 11:27:09 time: 1.0466 data_time: 0.0554 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0577 loss: 0.1798 2022/08/27 05:33:31 - mmengine - INFO - Epoch(train) [432][60/63] lr: 1.0000e-06 eta: 11:26:19 time: 1.1809 data_time: 0.0692 memory: 28971 loss_text: 0.1473 loss_kernel: 0.0692 loss: 0.2165 2022/08/27 05:33:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:35:13 - mmengine - INFO - Epoch(train) [433][5/63] lr: 1.0000e-06 eta: 11:26:19 time: 10.4114 data_time: 8.8423 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0686 loss: 0.2144 2022/08/27 05:35:18 - mmengine - INFO - Epoch(train) [433][10/63] lr: 1.0000e-06 eta: 11:25:50 time: 10.4880 data_time: 8.8696 memory: 28971 loss_text: 0.1649 loss_kernel: 0.0757 loss: 0.2406 2022/08/27 05:35:35 - mmengine - INFO - Epoch(train) [433][15/63] lr: 1.0000e-06 eta: 11:25:50 time: 2.1844 data_time: 0.0569 memory: 28971 loss_text: 0.1056 loss_kernel: 0.0499 loss: 0.1555 2022/08/27 05:35:40 - mmengine - INFO - Epoch(train) [433][20/63] lr: 1.0000e-06 eta: 11:25:04 time: 2.1817 data_time: 0.0581 memory: 28971 loss_text: 0.0851 loss_kernel: 0.0424 loss: 0.1275 2022/08/27 05:35:55 - mmengine - INFO - Epoch(train) [433][25/63] lr: 1.0000e-06 eta: 11:25:04 time: 2.0280 data_time: 0.0961 memory: 28971 loss_text: 0.1090 loss_kernel: 0.0524 loss: 0.1614 2022/08/27 05:36:00 - mmengine - INFO - Epoch(train) [433][30/63] lr: 1.0000e-06 eta: 11:24:18 time: 2.0097 data_time: 0.1078 memory: 28971 loss_text: 0.1084 loss_kernel: 0.0519 loss: 0.1603 2022/08/27 05:36:15 - mmengine - INFO - Epoch(train) [433][35/63] lr: 1.0000e-06 eta: 11:24:18 time: 1.9590 data_time: 0.1060 memory: 28971 loss_text: 0.1257 loss_kernel: 0.0591 loss: 0.1848 2022/08/27 05:36:20 - mmengine - INFO - Epoch(train) [433][40/63] lr: 1.0000e-06 eta: 11:23:32 time: 1.9611 data_time: 0.1107 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0681 loss: 0.2156 2022/08/27 05:36:36 - mmengine - INFO - Epoch(train) [433][45/63] lr: 1.0000e-06 eta: 11:23:32 time: 2.1109 data_time: 0.1986 memory: 28971 loss_text: 0.1165 loss_kernel: 0.0545 loss: 0.1710 2022/08/27 05:36:42 - mmengine - INFO - Epoch(train) [433][50/63] lr: 1.0000e-06 eta: 11:22:46 time: 2.2542 data_time: 0.1711 memory: 28971 loss_text: 0.1110 loss_kernel: 0.0523 loss: 0.1633 2022/08/27 05:36:59 - mmengine - INFO - Epoch(train) [433][55/63] lr: 1.0000e-06 eta: 11:22:46 time: 2.3259 data_time: 0.0922 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0589 loss: 0.1838 2022/08/27 05:37:10 - mmengine - INFO - Epoch(train) [433][60/63] lr: 1.0000e-06 eta: 11:22:03 time: 2.7288 data_time: 0.1287 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0541 loss: 0.1685 2022/08/27 05:37:23 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:39:08 - mmengine - INFO - Epoch(train) [434][5/63] lr: 1.0000e-06 eta: 11:22:03 time: 12.4549 data_time: 9.3438 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0638 loss: 0.1988 2022/08/27 05:39:13 - mmengine - INFO - Epoch(train) [434][10/63] lr: 1.0000e-06 eta: 11:21:35 time: 11.0111 data_time: 9.3343 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0581 loss: 0.1813 2022/08/27 05:39:27 - mmengine - INFO - Epoch(train) [434][15/63] lr: 1.0000e-06 eta: 11:21:35 time: 1.9011 data_time: 0.0792 memory: 28971 loss_text: 0.0984 loss_kernel: 0.0479 loss: 0.1463 2022/08/27 05:39:32 - mmengine - INFO - Epoch(train) [434][20/63] lr: 1.0000e-06 eta: 11:20:49 time: 1.8967 data_time: 0.1071 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0600 loss: 0.1874 2022/08/27 05:39:46 - mmengine - INFO - Epoch(train) [434][25/63] lr: 1.0000e-06 eta: 11:20:49 time: 1.8339 data_time: 0.1098 memory: 28971 loss_text: 0.1438 loss_kernel: 0.0665 loss: 0.2103 2022/08/27 05:39:51 - mmengine - INFO - Epoch(train) [434][30/63] lr: 1.0000e-06 eta: 11:20:02 time: 1.8520 data_time: 0.1186 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0631 loss: 0.2004 2022/08/27 05:40:03 - mmengine - INFO - Epoch(train) [434][35/63] lr: 1.0000e-06 eta: 11:20:02 time: 1.7737 data_time: 0.1698 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0608 loss: 0.1951 2022/08/27 05:40:09 - mmengine - INFO - Epoch(train) [434][40/63] lr: 1.0000e-06 eta: 11:19:15 time: 1.8261 data_time: 0.1391 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0607 loss: 0.1946 2022/08/27 05:40:24 - mmengine - INFO - Epoch(train) [434][45/63] lr: 1.0000e-06 eta: 11:19:15 time: 2.1043 data_time: 0.1654 memory: 28971 loss_text: 0.1097 loss_kernel: 0.0521 loss: 0.1618 2022/08/27 05:40:29 - mmengine - INFO - Epoch(train) [434][50/63] lr: 1.0000e-06 eta: 11:18:29 time: 1.9772 data_time: 0.1468 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0510 loss: 0.1564 2022/08/27 05:40:46 - mmengine - INFO - Epoch(train) [434][55/63] lr: 1.0000e-06 eta: 11:18:29 time: 2.1574 data_time: 0.0561 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0683 loss: 0.2140 2022/08/27 05:41:06 - mmengine - INFO - Epoch(train) [434][60/63] lr: 1.0000e-06 eta: 11:17:49 time: 3.6865 data_time: 0.2022 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0602 loss: 0.1866 2022/08/27 05:41:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:42:58 - mmengine - INFO - Epoch(train) [435][5/63] lr: 1.0000e-06 eta: 11:17:49 time: 12.6431 data_time: 9.6014 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0577 loss: 0.1785 2022/08/27 05:43:04 - mmengine - INFO - Epoch(train) [435][10/63] lr: 1.0000e-06 eta: 11:17:22 time: 11.1663 data_time: 9.5245 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0681 loss: 0.2133 2022/08/27 05:43:19 - mmengine - INFO - Epoch(train) [435][15/63] lr: 1.0000e-06 eta: 11:17:22 time: 2.0120 data_time: 0.0772 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0683 loss: 0.2189 2022/08/27 05:43:36 - mmengine - INFO - Epoch(train) [435][20/63] lr: 1.0000e-06 eta: 11:16:41 time: 3.2405 data_time: 0.3696 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0542 loss: 0.1719 2022/08/27 05:43:41 - mmengine - INFO - Epoch(train) [435][25/63] lr: 1.0000e-06 eta: 11:16:41 time: 2.2917 data_time: 0.4050 memory: 28971 loss_text: 0.0995 loss_kernel: 0.0491 loss: 0.1486 2022/08/27 05:43:55 - mmengine - INFO - Epoch(train) [435][30/63] lr: 1.0000e-06 eta: 11:15:54 time: 1.8580 data_time: 0.0713 memory: 28971 loss_text: 0.1073 loss_kernel: 0.0524 loss: 0.1596 2022/08/27 05:44:02 - mmengine - INFO - Epoch(train) [435][35/63] lr: 1.0000e-06 eta: 11:15:54 time: 2.0442 data_time: 0.1564 memory: 28971 loss_text: 0.1037 loss_kernel: 0.0503 loss: 0.1540 2022/08/27 05:44:17 - mmengine - INFO - Epoch(train) [435][40/63] lr: 1.0000e-06 eta: 11:15:09 time: 2.1560 data_time: 0.2070 memory: 28971 loss_text: 0.0834 loss_kernel: 0.0415 loss: 0.1249 2022/08/27 05:44:22 - mmengine - INFO - Epoch(train) [435][45/63] lr: 1.0000e-06 eta: 11:15:09 time: 1.9985 data_time: 0.1198 memory: 28971 loss_text: 0.1041 loss_kernel: 0.0507 loss: 0.1548 2022/08/27 05:44:37 - mmengine - INFO - Epoch(train) [435][50/63] lr: 1.0000e-06 eta: 11:14:23 time: 1.9877 data_time: 0.0828 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0616 loss: 0.1909 2022/08/27 05:44:42 - mmengine - INFO - Epoch(train) [435][55/63] lr: 1.0000e-06 eta: 11:14:23 time: 2.0519 data_time: 0.1445 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0619 loss: 0.1945 2022/08/27 05:45:00 - mmengine - INFO - Epoch(train) [435][60/63] lr: 1.0000e-06 eta: 11:13:38 time: 2.3546 data_time: 0.1619 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0738 loss: 0.2365 2022/08/27 05:45:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:46:49 - mmengine - INFO - Epoch(train) [436][5/63] lr: 1.0000e-06 eta: 11:13:38 time: 12.3224 data_time: 9.3357 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0605 loss: 0.1920 2022/08/27 05:46:54 - mmengine - INFO - Epoch(train) [436][10/63] lr: 1.0000e-06 eta: 11:13:10 time: 10.9475 data_time: 9.3001 memory: 28971 loss_text: 0.1138 loss_kernel: 0.0535 loss: 0.1673 2022/08/27 05:47:09 - mmengine - INFO - Epoch(train) [436][15/63] lr: 1.0000e-06 eta: 11:13:10 time: 2.0497 data_time: 0.1022 memory: 28971 loss_text: 0.1190 loss_kernel: 0.0562 loss: 0.1752 2022/08/27 05:47:14 - mmengine - INFO - Epoch(train) [436][20/63] lr: 1.0000e-06 eta: 11:12:24 time: 2.0037 data_time: 0.1077 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0634 loss: 0.2006 2022/08/27 05:47:33 - mmengine - INFO - Epoch(train) [436][25/63] lr: 1.0000e-06 eta: 11:12:24 time: 2.3085 data_time: 0.1051 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0683 loss: 0.2172 2022/08/27 05:47:37 - mmengine - INFO - Epoch(train) [436][30/63] lr: 1.0000e-06 eta: 11:11:39 time: 2.3092 data_time: 0.1072 memory: 28971 loss_text: 0.1646 loss_kernel: 0.0753 loss: 0.2399 2022/08/27 05:47:53 - mmengine - INFO - Epoch(train) [436][35/63] lr: 1.0000e-06 eta: 11:11:39 time: 2.0111 data_time: 0.0759 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0751 loss: 0.2392 2022/08/27 05:47:57 - mmengine - INFO - Epoch(train) [436][40/63] lr: 1.0000e-06 eta: 11:10:53 time: 1.9978 data_time: 0.0799 memory: 28971 loss_text: 0.1639 loss_kernel: 0.0753 loss: 0.2392 2022/08/27 05:48:10 - mmengine - INFO - Epoch(train) [436][45/63] lr: 1.0000e-06 eta: 11:10:53 time: 1.6951 data_time: 0.1076 memory: 28971 loss_text: 0.1558 loss_kernel: 0.0704 loss: 0.2262 2022/08/27 05:48:14 - mmengine - INFO - Epoch(train) [436][50/63] lr: 1.0000e-06 eta: 11:10:06 time: 1.6873 data_time: 0.0934 memory: 28971 loss_text: 0.1548 loss_kernel: 0.0705 loss: 0.2253 2022/08/27 05:48:30 - mmengine - INFO - Epoch(train) [436][55/63] lr: 1.0000e-06 eta: 11:10:06 time: 2.0626 data_time: 0.1132 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0614 loss: 0.1913 2022/08/27 05:48:35 - mmengine - INFO - Epoch(train) [436][60/63] lr: 1.0000e-06 eta: 11:09:20 time: 2.1161 data_time: 0.1179 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0534 loss: 0.1656 2022/08/27 05:48:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:50:33 - mmengine - INFO - Epoch(train) [437][5/63] lr: 1.0000e-06 eta: 11:09:20 time: 11.9447 data_time: 9.1655 memory: 28971 loss_text: 0.1059 loss_kernel: 0.0508 loss: 0.1567 2022/08/27 05:50:39 - mmengine - INFO - Epoch(train) [437][10/63] lr: 1.0000e-06 eta: 11:08:51 time: 10.7882 data_time: 9.1265 memory: 28971 loss_text: 0.1007 loss_kernel: 0.0489 loss: 0.1497 2022/08/27 05:50:54 - mmengine - INFO - Epoch(train) [437][15/63] lr: 1.0000e-06 eta: 11:08:51 time: 2.0021 data_time: 0.0851 memory: 28971 loss_text: 0.1396 loss_kernel: 0.0653 loss: 0.2049 2022/08/27 05:50:58 - mmengine - INFO - Epoch(train) [437][20/63] lr: 1.0000e-06 eta: 11:08:05 time: 1.9431 data_time: 0.0764 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0690 loss: 0.2154 2022/08/27 05:51:11 - mmengine - INFO - Epoch(train) [437][25/63] lr: 1.0000e-06 eta: 11:08:05 time: 1.7267 data_time: 0.1257 memory: 28971 loss_text: 0.1275 loss_kernel: 0.0609 loss: 0.1884 2022/08/27 05:51:15 - mmengine - INFO - Epoch(train) [437][30/63] lr: 1.0000e-06 eta: 11:07:18 time: 1.6739 data_time: 0.1074 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0613 loss: 0.1914 2022/08/27 05:51:28 - mmengine - INFO - Epoch(train) [437][35/63] lr: 1.0000e-06 eta: 11:07:18 time: 1.7184 data_time: 0.0692 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0550 loss: 0.1703 2022/08/27 05:51:34 - mmengine - INFO - Epoch(train) [437][40/63] lr: 1.0000e-06 eta: 11:06:31 time: 1.8974 data_time: 0.0951 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0591 loss: 0.1821 2022/08/27 05:51:50 - mmengine - INFO - Epoch(train) [437][45/63] lr: 1.0000e-06 eta: 11:06:31 time: 2.1923 data_time: 0.0801 memory: 28971 loss_text: 0.1346 loss_kernel: 0.0641 loss: 0.1987 2022/08/27 05:52:00 - mmengine - INFO - Epoch(train) [437][50/63] lr: 1.0000e-06 eta: 11:05:48 time: 2.5836 data_time: 0.0865 memory: 28971 loss_text: 0.1415 loss_kernel: 0.0647 loss: 0.2062 2022/08/27 05:52:13 - mmengine - INFO - Epoch(train) [437][55/63] lr: 1.0000e-06 eta: 11:05:48 time: 2.2690 data_time: 0.1320 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0590 loss: 0.1873 2022/08/27 05:52:28 - mmengine - INFO - Epoch(train) [437][60/63] lr: 1.0000e-06 eta: 11:05:04 time: 2.6902 data_time: 0.1492 memory: 28971 loss_text: 0.1209 loss_kernel: 0.0569 loss: 0.1778 2022/08/27 05:52:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:54:24 - mmengine - INFO - Epoch(train) [438][5/63] lr: 1.0000e-06 eta: 11:05:04 time: 12.3763 data_time: 9.8694 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0685 loss: 0.2180 2022/08/27 05:54:29 - mmengine - INFO - Epoch(train) [438][10/63] lr: 1.0000e-06 eta: 11:04:38 time: 11.4180 data_time: 9.7665 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0553 loss: 0.1730 2022/08/27 05:54:45 - mmengine - INFO - Epoch(train) [438][15/63] lr: 1.0000e-06 eta: 11:04:38 time: 2.1293 data_time: 0.1471 memory: 28971 loss_text: 0.1069 loss_kernel: 0.0502 loss: 0.1572 2022/08/27 05:54:50 - mmengine - INFO - Epoch(train) [438][20/63] lr: 1.0000e-06 eta: 11:03:52 time: 2.0951 data_time: 0.1393 memory: 28971 loss_text: 0.0996 loss_kernel: 0.0475 loss: 0.1471 2022/08/27 05:55:07 - mmengine - INFO - Epoch(train) [438][25/63] lr: 1.0000e-06 eta: 11:03:52 time: 2.1076 data_time: 0.1009 memory: 28971 loss_text: 0.1045 loss_kernel: 0.0510 loss: 0.1555 2022/08/27 05:55:25 - mmengine - INFO - Epoch(train) [438][30/63] lr: 1.0000e-06 eta: 11:03:12 time: 3.4503 data_time: 0.1174 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0653 loss: 0.2065 2022/08/27 05:55:30 - mmengine - INFO - Epoch(train) [438][35/63] lr: 1.0000e-06 eta: 11:03:12 time: 2.3587 data_time: 0.1291 memory: 28971 loss_text: 0.1486 loss_kernel: 0.0688 loss: 0.2174 2022/08/27 05:55:42 - mmengine - INFO - Epoch(train) [438][40/63] lr: 1.0000e-06 eta: 11:02:25 time: 1.7316 data_time: 0.1204 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0587 loss: 0.1795 2022/08/27 05:55:55 - mmengine - INFO - Epoch(train) [438][45/63] lr: 1.0000e-06 eta: 11:02:25 time: 2.4727 data_time: 0.1043 memory: 28971 loss_text: 0.1064 loss_kernel: 0.0517 loss: 0.1582 2022/08/27 05:56:04 - mmengine - INFO - Epoch(train) [438][50/63] lr: 1.0000e-06 eta: 11:01:40 time: 2.1932 data_time: 0.0808 memory: 28971 loss_text: 0.1314 loss_kernel: 0.0623 loss: 0.1936 2022/08/27 05:56:21 - mmengine - INFO - Epoch(train) [438][55/63] lr: 1.0000e-06 eta: 11:01:40 time: 2.5741 data_time: 0.0929 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0696 loss: 0.2198 2022/08/27 05:56:26 - mmengine - INFO - Epoch(train) [438][60/63] lr: 1.0000e-06 eta: 11:00:55 time: 2.2280 data_time: 0.1845 memory: 28971 loss_text: 0.1358 loss_kernel: 0.0630 loss: 0.1988 2022/08/27 05:56:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 05:58:24 - mmengine - INFO - Epoch(train) [439][5/63] lr: 1.0000e-06 eta: 11:00:55 time: 11.9171 data_time: 9.3553 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0597 loss: 0.1871 2022/08/27 05:58:28 - mmengine - INFO - Epoch(train) [439][10/63] lr: 1.0000e-06 eta: 11:00:25 time: 10.7293 data_time: 9.3673 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0602 loss: 0.1900 2022/08/27 05:58:42 - mmengine - INFO - Epoch(train) [439][15/63] lr: 1.0000e-06 eta: 11:00:25 time: 1.8366 data_time: 0.0513 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0601 loss: 0.1881 2022/08/27 05:58:47 - mmengine - INFO - Epoch(train) [439][20/63] lr: 1.0000e-06 eta: 10:59:39 time: 1.8672 data_time: 0.0758 memory: 28971 loss_text: 0.1169 loss_kernel: 0.0560 loss: 0.1729 2022/08/27 05:58:58 - mmengine - INFO - Epoch(train) [439][25/63] lr: 1.0000e-06 eta: 10:59:39 time: 1.6109 data_time: 0.1294 memory: 28971 loss_text: 0.1169 loss_kernel: 0.0548 loss: 0.1718 2022/08/27 05:59:04 - mmengine - INFO - Epoch(train) [439][30/63] lr: 1.0000e-06 eta: 10:58:52 time: 1.6916 data_time: 0.1244 memory: 28971 loss_text: 0.1244 loss_kernel: 0.0581 loss: 0.1825 2022/08/27 05:59:18 - mmengine - INFO - Epoch(train) [439][35/63] lr: 1.0000e-06 eta: 10:58:52 time: 1.9790 data_time: 0.1021 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0609 loss: 0.1908 2022/08/27 05:59:24 - mmengine - INFO - Epoch(train) [439][40/63] lr: 1.0000e-06 eta: 10:58:06 time: 1.9538 data_time: 0.1098 memory: 28971 loss_text: 0.1441 loss_kernel: 0.0670 loss: 0.2111 2022/08/27 05:59:43 - mmengine - INFO - Epoch(train) [439][45/63] lr: 1.0000e-06 eta: 10:58:06 time: 2.4625 data_time: 0.2267 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0508 loss: 0.1562 2022/08/27 06:00:01 - mmengine - INFO - Epoch(train) [439][50/63] lr: 1.0000e-06 eta: 10:57:26 time: 3.6649 data_time: 0.2202 memory: 28971 loss_text: 0.0805 loss_kernel: 0.0402 loss: 0.1207 2022/08/27 06:00:24 - mmengine - INFO - Epoch(train) [439][55/63] lr: 1.0000e-06 eta: 10:57:26 time: 4.1272 data_time: 0.6562 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0549 loss: 0.1698 2022/08/27 06:00:30 - mmengine - INFO - Epoch(train) [439][60/63] lr: 1.0000e-06 eta: 10:56:44 time: 2.9432 data_time: 0.6801 memory: 28971 loss_text: 0.1658 loss_kernel: 0.0760 loss: 0.2418 2022/08/27 06:00:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:02:43 - mmengine - INFO - Epoch(train) [440][5/63] lr: 1.0000e-06 eta: 10:56:44 time: 13.4802 data_time: 10.6098 memory: 28971 loss_text: 0.1800 loss_kernel: 0.0809 loss: 0.2609 2022/08/27 06:02:48 - mmengine - INFO - Epoch(train) [440][10/63] lr: 1.0000e-06 eta: 10:56:20 time: 12.3601 data_time: 10.4901 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0593 loss: 0.1879 2022/08/27 06:03:01 - mmengine - INFO - Epoch(train) [440][15/63] lr: 1.0000e-06 eta: 10:56:20 time: 1.7636 data_time: 0.0575 memory: 28971 loss_text: 0.1099 loss_kernel: 0.0526 loss: 0.1625 2022/08/27 06:03:06 - mmengine - INFO - Epoch(train) [440][20/63] lr: 1.0000e-06 eta: 10:55:34 time: 1.8221 data_time: 0.0991 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0563 loss: 0.1726 2022/08/27 06:03:22 - mmengine - INFO - Epoch(train) [440][25/63] lr: 1.0000e-06 eta: 10:55:34 time: 2.0796 data_time: 0.1456 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0620 loss: 0.1913 2022/08/27 06:03:26 - mmengine - INFO - Epoch(train) [440][30/63] lr: 1.0000e-06 eta: 10:54:48 time: 2.0284 data_time: 0.1211 memory: 28971 loss_text: 0.1440 loss_kernel: 0.0669 loss: 0.2109 2022/08/27 06:03:40 - mmengine - INFO - Epoch(train) [440][35/63] lr: 1.0000e-06 eta: 10:54:48 time: 1.8400 data_time: 0.0715 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0678 loss: 0.2186 2022/08/27 06:03:45 - mmengine - INFO - Epoch(train) [440][40/63] lr: 1.0000e-06 eta: 10:54:02 time: 1.8968 data_time: 0.1042 memory: 28971 loss_text: 0.1463 loss_kernel: 0.0665 loss: 0.2128 2022/08/27 06:03:50 - mmengine - INFO - Epoch(train) [440][45/63] lr: 1.0000e-06 eta: 10:54:02 time: 0.9971 data_time: 0.1007 memory: 28971 loss_text: 0.1316 loss_kernel: 0.0605 loss: 0.1921 2022/08/27 06:04:08 - mmengine - INFO - Epoch(train) [440][50/63] lr: 1.0000e-06 eta: 10:53:17 time: 2.2033 data_time: 0.1385 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0675 loss: 0.2166 2022/08/27 06:04:25 - mmengine - INFO - Epoch(train) [440][55/63] lr: 1.0000e-06 eta: 10:53:17 time: 3.4696 data_time: 0.1708 memory: 28971 loss_text: 0.1740 loss_kernel: 0.0791 loss: 0.2531 2022/08/27 06:04:35 - mmengine - INFO - Epoch(train) [440][60/63] lr: 1.0000e-06 eta: 10:52:34 time: 2.7409 data_time: 0.1068 memory: 28971 loss_text: 0.1605 loss_kernel: 0.0734 loss: 0.2339 2022/08/27 06:04:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:04:47 - mmengine - INFO - Saving checkpoint at 440 epochs 2022/08/27 06:05:28 - mmengine - INFO - Epoch(val) [440][5/500] eta: 10:52:34 time: 4.4166 data_time: 3.0104 memory: 28971 2022/08/27 06:05:29 - mmengine - INFO - Epoch(val) [440][10/500] eta: 0:27:59 time: 3.4283 data_time: 3.0061 memory: 3207 2022/08/27 06:05:29 - mmengine - INFO - Epoch(val) [440][15/500] eta: 0:27:59 time: 0.0994 data_time: 0.0188 memory: 3207 2022/08/27 06:05:30 - mmengine - INFO - Epoch(val) [440][20/500] eta: 0:00:40 time: 0.0852 data_time: 0.0029 memory: 3207 2022/08/27 06:05:30 - mmengine - INFO - Epoch(val) [440][25/500] eta: 0:00:40 time: 0.0842 data_time: 0.0027 memory: 3207 2022/08/27 06:05:31 - mmengine - INFO - Epoch(val) [440][30/500] eta: 0:00:42 time: 0.0906 data_time: 0.0061 memory: 3207 2022/08/27 06:05:31 - mmengine - INFO - Epoch(val) [440][35/500] eta: 0:00:42 time: 0.0921 data_time: 0.0062 memory: 3207 2022/08/27 06:05:31 - mmengine - INFO - Epoch(val) [440][40/500] eta: 0:00:41 time: 0.0894 data_time: 0.0028 memory: 3207 2022/08/27 06:05:32 - mmengine - INFO - Epoch(val) [440][45/500] eta: 0:00:41 time: 0.0909 data_time: 0.0035 memory: 3207 2022/08/27 06:05:32 - mmengine - INFO - Epoch(val) [440][50/500] eta: 0:00:38 time: 0.0865 data_time: 0.0036 memory: 3207 2022/08/27 06:05:33 - mmengine - INFO - Epoch(val) [440][55/500] eta: 0:00:38 time: 0.0860 data_time: 0.0027 memory: 3207 2022/08/27 06:05:33 - mmengine - INFO - Epoch(val) [440][60/500] eta: 0:00:37 time: 0.0862 data_time: 0.0053 memory: 3207 2022/08/27 06:05:34 - mmengine - INFO - Epoch(val) [440][65/500] eta: 0:00:37 time: 0.0883 data_time: 0.0054 memory: 3207 2022/08/27 06:05:34 - mmengine - INFO - Epoch(val) [440][70/500] eta: 0:00:48 time: 0.1128 data_time: 0.0250 memory: 3207 2022/08/27 06:05:35 - mmengine - INFO - Epoch(val) [440][75/500] eta: 0:00:48 time: 0.1082 data_time: 0.0249 memory: 3207 2022/08/27 06:05:36 - mmengine - INFO - Epoch(val) [440][80/500] eta: 0:00:49 time: 0.1183 data_time: 0.0027 memory: 3207 2022/08/27 06:05:36 - mmengine - INFO - Epoch(val) [440][85/500] eta: 0:00:49 time: 0.1161 data_time: 0.0026 memory: 3207 2022/08/27 06:05:45 - mmengine - INFO - Epoch(val) [440][90/500] eta: 0:06:27 time: 0.9439 data_time: 0.0575 memory: 3207 2022/08/27 06:05:46 - mmengine - INFO - Epoch(val) [440][95/500] eta: 0:06:27 time: 0.9795 data_time: 0.0640 memory: 3207 2022/08/27 06:05:46 - mmengine - INFO - Epoch(val) [440][100/500] eta: 0:00:45 time: 0.1143 data_time: 0.0088 memory: 3207 2022/08/27 06:05:47 - mmengine - INFO - Epoch(val) [440][105/500] eta: 0:00:45 time: 0.0829 data_time: 0.0037 memory: 3207 2022/08/27 06:05:47 - mmengine - INFO - Epoch(val) [440][110/500] eta: 0:00:32 time: 0.0837 data_time: 0.0037 memory: 3207 2022/08/27 06:05:47 - mmengine - INFO - Epoch(val) [440][115/500] eta: 0:00:32 time: 0.0824 data_time: 0.0024 memory: 3207 2022/08/27 06:05:48 - mmengine - INFO - Epoch(val) [440][120/500] eta: 0:00:31 time: 0.0831 data_time: 0.0025 memory: 3207 2022/08/27 06:05:48 - mmengine - INFO - Epoch(val) [440][125/500] eta: 0:00:31 time: 0.0825 data_time: 0.0025 memory: 3207 2022/08/27 06:05:49 - mmengine - INFO - Epoch(val) [440][130/500] eta: 0:00:30 time: 0.0821 data_time: 0.0024 memory: 3207 2022/08/27 06:05:49 - mmengine - INFO - Epoch(val) [440][135/500] eta: 0:00:30 time: 0.0826 data_time: 0.0024 memory: 3207 2022/08/27 06:05:49 - mmengine - INFO - Epoch(val) [440][140/500] eta: 0:00:29 time: 0.0828 data_time: 0.0025 memory: 3207 2022/08/27 06:05:50 - mmengine - INFO - Epoch(val) [440][145/500] eta: 0:00:29 time: 0.0847 data_time: 0.0024 memory: 3207 2022/08/27 06:05:50 - mmengine - INFO - Epoch(val) [440][150/500] eta: 0:00:29 time: 0.0847 data_time: 0.0023 memory: 3207 2022/08/27 06:05:51 - mmengine - INFO - Epoch(val) [440][155/500] eta: 0:00:29 time: 0.0881 data_time: 0.0023 memory: 3207 2022/08/27 06:05:51 - mmengine - INFO - Epoch(val) [440][160/500] eta: 0:00:30 time: 0.0882 data_time: 0.0024 memory: 3207 2022/08/27 06:05:52 - mmengine - INFO - Epoch(val) [440][165/500] eta: 0:00:30 time: 0.1023 data_time: 0.0025 memory: 3207 2022/08/27 06:05:52 - mmengine - INFO - Epoch(val) [440][170/500] eta: 0:00:34 time: 0.1041 data_time: 0.0028 memory: 3207 2022/08/27 06:05:53 - mmengine - INFO - Epoch(val) [440][175/500] eta: 0:00:34 time: 0.1019 data_time: 0.0029 memory: 3207 2022/08/27 06:05:53 - mmengine - INFO - Epoch(val) [440][180/500] eta: 0:00:33 time: 0.1038 data_time: 0.0029 memory: 3207 2022/08/27 06:05:54 - mmengine - INFO - Epoch(val) [440][185/500] eta: 0:00:33 time: 0.0977 data_time: 0.0100 memory: 3207 2022/08/27 06:05:54 - mmengine - INFO - Epoch(val) [440][190/500] eta: 0:00:33 time: 0.1076 data_time: 0.0221 memory: 3207 2022/08/27 06:05:55 - mmengine - INFO - Epoch(val) [440][195/500] eta: 0:00:33 time: 0.1090 data_time: 0.0158 memory: 3207 2022/08/27 06:06:00 - mmengine - INFO - Epoch(val) [440][200/500] eta: 0:02:57 time: 0.5924 data_time: 0.0192 memory: 3207 2022/08/27 06:06:01 - mmengine - INFO - Epoch(val) [440][205/500] eta: 0:02:57 time: 0.5958 data_time: 0.0293 memory: 3207 2022/08/27 06:06:01 - mmengine - INFO - Epoch(val) [440][210/500] eta: 0:00:28 time: 0.1000 data_time: 0.0138 memory: 3207 2022/08/27 06:06:02 - mmengine - INFO - Epoch(val) [440][215/500] eta: 0:00:28 time: 0.1097 data_time: 0.0062 memory: 3207 2022/08/27 06:06:02 - mmengine - INFO - Epoch(val) [440][220/500] eta: 0:00:30 time: 0.1093 data_time: 0.0060 memory: 3207 2022/08/27 06:06:03 - mmengine - INFO - Epoch(val) [440][225/500] eta: 0:00:30 time: 0.1031 data_time: 0.0025 memory: 3207 2022/08/27 06:06:05 - mmengine - INFO - Epoch(val) [440][230/500] eta: 0:01:10 time: 0.2626 data_time: 0.0047 memory: 3207 2022/08/27 06:06:06 - mmengine - INFO - Epoch(val) [440][235/500] eta: 0:01:10 time: 0.3081 data_time: 0.0304 memory: 3207 2022/08/27 06:06:07 - mmengine - INFO - Epoch(val) [440][240/500] eta: 0:00:44 time: 0.1725 data_time: 0.0281 memory: 3207 2022/08/27 06:06:07 - mmengine - INFO - Epoch(val) [440][245/500] eta: 0:00:44 time: 0.1085 data_time: 0.0027 memory: 3207 2022/08/27 06:06:08 - mmengine - INFO - Epoch(val) [440][250/500] eta: 0:00:21 time: 0.0854 data_time: 0.0027 memory: 3207 2022/08/27 06:06:08 - mmengine - INFO - Epoch(val) [440][255/500] eta: 0:00:21 time: 0.0875 data_time: 0.0065 memory: 3207 2022/08/27 06:06:09 - mmengine - INFO - Epoch(val) [440][260/500] eta: 0:00:23 time: 0.0987 data_time: 0.0167 memory: 3207 2022/08/27 06:06:09 - mmengine - INFO - Epoch(val) [440][265/500] eta: 0:00:23 time: 0.0991 data_time: 0.0128 memory: 3207 2022/08/27 06:06:09 - mmengine - INFO - Epoch(val) [440][270/500] eta: 0:00:20 time: 0.0871 data_time: 0.0025 memory: 3207 2022/08/27 06:06:10 - mmengine - INFO - Epoch(val) [440][275/500] eta: 0:00:20 time: 0.0821 data_time: 0.0025 memory: 3207 2022/08/27 06:06:14 - mmengine - INFO - Epoch(val) [440][280/500] eta: 0:01:29 time: 0.4088 data_time: 0.0024 memory: 3207 2022/08/27 06:06:15 - mmengine - INFO - Epoch(val) [440][285/500] eta: 0:01:29 time: 0.5541 data_time: 0.0473 memory: 3207 2022/08/27 06:06:17 - mmengine - INFO - Epoch(val) [440][290/500] eta: 0:01:03 time: 0.3044 data_time: 0.0473 memory: 3207 2022/08/27 06:06:21 - mmengine - INFO - Epoch(val) [440][295/500] eta: 0:01:03 time: 0.5187 data_time: 0.0411 memory: 3207 2022/08/27 06:06:21 - mmengine - INFO - Epoch(val) [440][300/500] eta: 0:01:29 time: 0.4462 data_time: 0.0463 memory: 3207 2022/08/27 06:06:21 - mmengine - INFO - Epoch(val) [440][305/500] eta: 0:01:29 time: 0.0870 data_time: 0.0077 memory: 3207 2022/08/27 06:06:22 - mmengine - INFO - Epoch(val) [440][310/500] eta: 0:00:15 time: 0.0825 data_time: 0.0028 memory: 3207 2022/08/27 06:06:22 - mmengine - INFO - Epoch(val) [440][315/500] eta: 0:00:15 time: 0.0864 data_time: 0.0028 memory: 3207 2022/08/27 06:06:23 - mmengine - INFO - Epoch(val) [440][320/500] eta: 0:00:15 time: 0.0847 data_time: 0.0024 memory: 3207 2022/08/27 06:06:24 - mmengine - INFO - Epoch(val) [440][325/500] eta: 0:00:15 time: 0.1247 data_time: 0.0025 memory: 3207 2022/08/27 06:06:24 - mmengine - INFO - Epoch(val) [440][330/500] eta: 0:00:23 time: 0.1367 data_time: 0.0068 memory: 3207 2022/08/27 06:06:24 - mmengine - INFO - Epoch(val) [440][335/500] eta: 0:00:23 time: 0.0931 data_time: 0.0079 memory: 3207 2022/08/27 06:06:25 - mmengine - INFO - Epoch(val) [440][340/500] eta: 0:00:14 time: 0.0911 data_time: 0.0038 memory: 3207 2022/08/27 06:07:01 - mmengine - INFO - Epoch(val) [440][345/500] eta: 0:00:14 time: 3.6583 data_time: 0.2317 memory: 3207 2022/08/27 06:07:02 - mmengine - INFO - Epoch(val) [440][350/500] eta: 0:09:09 time: 3.6658 data_time: 0.2413 memory: 3207 2022/08/27 06:07:03 - mmengine - INFO - Epoch(val) [440][355/500] eta: 0:09:09 time: 0.1450 data_time: 0.0332 memory: 3207 2022/08/27 06:07:03 - mmengine - INFO - Epoch(val) [440][360/500] eta: 0:00:18 time: 0.1287 data_time: 0.0234 memory: 3207 2022/08/27 06:07:04 - mmengine - INFO - Epoch(val) [440][365/500] eta: 0:00:18 time: 0.1078 data_time: 0.0024 memory: 3207 2022/08/27 06:07:04 - mmengine - INFO - Epoch(val) [440][370/500] eta: 0:00:14 time: 0.1135 data_time: 0.0025 memory: 3207 2022/08/27 06:07:05 - mmengine - INFO - Epoch(val) [440][375/500] eta: 0:00:14 time: 0.0936 data_time: 0.0026 memory: 3207 2022/08/27 06:07:05 - mmengine - INFO - Epoch(val) [440][380/500] eta: 0:00:10 time: 0.0901 data_time: 0.0025 memory: 3207 2022/08/27 06:07:05 - mmengine - INFO - Epoch(val) [440][385/500] eta: 0:00:10 time: 0.0846 data_time: 0.0024 memory: 3207 2022/08/27 06:07:06 - mmengine - INFO - Epoch(val) [440][390/500] eta: 0:00:09 time: 0.0827 data_time: 0.0024 memory: 3207 2022/08/27 06:07:06 - mmengine - INFO - Epoch(val) [440][395/500] eta: 0:00:09 time: 0.0840 data_time: 0.0025 memory: 3207 2022/08/27 06:07:07 - mmengine - INFO - Epoch(val) [440][400/500] eta: 0:00:08 time: 0.0861 data_time: 0.0026 memory: 3207 2022/08/27 06:07:11 - mmengine - INFO - Epoch(val) [440][405/500] eta: 0:00:08 time: 0.4344 data_time: 0.0301 memory: 3207 2022/08/27 06:07:16 - mmengine - INFO - Epoch(val) [440][410/500] eta: 0:01:18 time: 0.8694 data_time: 0.1024 memory: 3207 2022/08/27 06:07:16 - mmengine - INFO - Epoch(val) [440][415/500] eta: 0:01:18 time: 0.5436 data_time: 0.1000 memory: 3207 2022/08/27 06:07:16 - mmengine - INFO - Epoch(val) [440][420/500] eta: 0:00:08 time: 0.1047 data_time: 0.0281 memory: 3207 2022/08/27 06:07:17 - mmengine - INFO - Epoch(val) [440][425/500] eta: 0:00:08 time: 0.0964 data_time: 0.0029 memory: 3207 2022/08/27 06:07:17 - mmengine - INFO - Epoch(val) [440][430/500] eta: 0:00:06 time: 0.0977 data_time: 0.0024 memory: 3207 2022/08/27 06:07:18 - mmengine - INFO - Epoch(val) [440][435/500] eta: 0:00:06 time: 0.0827 data_time: 0.0025 memory: 3207 2022/08/27 06:07:18 - mmengine - INFO - Epoch(val) [440][440/500] eta: 0:00:05 time: 0.0840 data_time: 0.0028 memory: 3207 2022/08/27 06:07:19 - mmengine - INFO - Epoch(val) [440][445/500] eta: 0:00:05 time: 0.0898 data_time: 0.0061 memory: 3207 2022/08/27 06:07:19 - mmengine - INFO - Epoch(val) [440][450/500] eta: 0:00:04 time: 0.0893 data_time: 0.0059 memory: 3207 2022/08/27 06:07:20 - mmengine - INFO - Epoch(val) [440][455/500] eta: 0:00:04 time: 0.1644 data_time: 0.0074 memory: 3207 2022/08/27 06:07:21 - mmengine - INFO - Epoch(val) [440][460/500] eta: 0:00:07 time: 0.1919 data_time: 0.0108 memory: 3207 2022/08/27 06:07:21 - mmengine - INFO - Epoch(val) [440][465/500] eta: 0:00:07 time: 0.1108 data_time: 0.0059 memory: 3207 2022/08/27 06:07:22 - mmengine - INFO - Epoch(val) [440][470/500] eta: 0:00:02 time: 0.0823 data_time: 0.0025 memory: 3207 2022/08/27 06:07:22 - mmengine - INFO - Epoch(val) [440][475/500] eta: 0:00:02 time: 0.0802 data_time: 0.0025 memory: 3207 2022/08/27 06:07:23 - mmengine - INFO - Epoch(val) [440][480/500] eta: 0:00:01 time: 0.0932 data_time: 0.0025 memory: 3207 2022/08/27 06:07:23 - mmengine - INFO - Epoch(val) [440][485/500] eta: 0:00:01 time: 0.1020 data_time: 0.0099 memory: 3207 2022/08/27 06:07:24 - mmengine - INFO - Epoch(val) [440][490/500] eta: 0:00:00 time: 0.0915 data_time: 0.0100 memory: 3207 2022/08/27 06:07:25 - mmengine - INFO - Epoch(val) [440][495/500] eta: 0:00:00 time: 0.1550 data_time: 0.0456 memory: 3207 2022/08/27 06:07:25 - mmengine - INFO - Epoch(val) [440][500/500] eta: 0:00:00 time: 0.1592 data_time: 0.0454 memory: 3207 2022/08/27 06:07:25 - mmengine - INFO - Evaluating hmean-iou... 2022/08/27 06:07:26 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7814, precision: 0.6420, hmean: 0.7049 2022/08/27 06:07:26 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7814, precision: 0.6420, hmean: 0.7049 2022/08/27 06:07:26 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7814, precision: 0.6420, hmean: 0.7049 2022/08/27 06:07:26 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7814, precision: 0.6754, hmean: 0.7246 2022/08/27 06:07:26 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7814, precision: 0.7213, hmean: 0.7502 2022/08/27 06:07:26 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7776, precision: 0.7720, hmean: 0.7748 2022/08/27 06:07:26 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7593, precision: 0.8291, hmean: 0.7927 2022/08/27 06:07:26 - mmengine - INFO - Epoch(val) [440][500/500] icdar/precision: 0.8291 icdar/recall: 0.7593 icdar/hmean: 0.7927 2022/08/27 06:09:14 - mmengine - INFO - Epoch(train) [441][5/63] lr: 1.0000e-06 eta: 0:00:00 time: 12.6793 data_time: 9.3422 memory: 28971 loss_text: 0.1679 loss_kernel: 0.0772 loss: 0.2451 2022/08/27 06:09:19 - mmengine - INFO - Epoch(train) [441][10/63] lr: 1.0000e-06 eta: 10:52:07 time: 11.3471 data_time: 9.3709 memory: 28971 loss_text: 0.1673 loss_kernel: 0.0754 loss: 0.2428 2022/08/27 06:09:33 - mmengine - INFO - Epoch(train) [441][15/63] lr: 1.0000e-06 eta: 10:52:07 time: 1.9432 data_time: 0.0995 memory: 28971 loss_text: 0.1238 loss_kernel: 0.0572 loss: 0.1810 2022/08/27 06:09:38 - mmengine - INFO - Epoch(train) [441][20/63] lr: 1.0000e-06 eta: 10:51:21 time: 1.9070 data_time: 0.0977 memory: 28971 loss_text: 0.1077 loss_kernel: 0.0518 loss: 0.1595 2022/08/27 06:09:52 - mmengine - INFO - Epoch(train) [441][25/63] lr: 1.0000e-06 eta: 10:51:21 time: 1.9138 data_time: 0.1262 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0628 loss: 0.1977 2022/08/27 06:09:57 - mmengine - INFO - Epoch(train) [441][30/63] lr: 1.0000e-06 eta: 10:50:34 time: 1.8534 data_time: 0.1140 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0611 loss: 0.1921 2022/08/27 06:10:11 - mmengine - INFO - Epoch(train) [441][35/63] lr: 1.0000e-06 eta: 10:50:34 time: 1.9003 data_time: 0.0903 memory: 28971 loss_text: 0.1154 loss_kernel: 0.0544 loss: 0.1699 2022/08/27 06:10:16 - mmengine - INFO - Epoch(train) [441][40/63] lr: 1.0000e-06 eta: 10:49:49 time: 1.9459 data_time: 0.1271 memory: 28971 loss_text: 0.1166 loss_kernel: 0.0559 loss: 0.1726 2022/08/27 06:10:26 - mmengine - INFO - Epoch(train) [441][45/63] lr: 1.0000e-06 eta: 10:49:49 time: 1.4133 data_time: 0.0832 memory: 28971 loss_text: 0.0906 loss_kernel: 0.0451 loss: 0.1356 2022/08/27 06:10:37 - mmengine - INFO - Epoch(train) [441][50/63] lr: 1.0000e-06 eta: 10:49:03 time: 2.0288 data_time: 0.1478 memory: 28971 loss_text: 0.0918 loss_kernel: 0.0453 loss: 0.1371 2022/08/27 06:10:51 - mmengine - INFO - Epoch(train) [441][55/63] lr: 1.0000e-06 eta: 10:49:03 time: 2.5135 data_time: 0.1543 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0590 loss: 0.1838 2022/08/27 06:11:05 - mmengine - INFO - Epoch(train) [441][60/63] lr: 1.0000e-06 eta: 10:48:20 time: 2.7499 data_time: 0.1037 memory: 28971 loss_text: 0.1397 loss_kernel: 0.0651 loss: 0.2048 2022/08/27 06:11:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:13:24 - mmengine - INFO - Epoch(train) [442][5/63] lr: 1.0000e-06 eta: 10:48:20 time: 14.3980 data_time: 9.7502 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0608 loss: 0.1888 2022/08/27 06:13:30 - mmengine - INFO - Epoch(train) [442][10/63] lr: 1.0000e-06 eta: 10:47:52 time: 11.3395 data_time: 9.6404 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0683 loss: 0.2128 2022/08/27 06:13:45 - mmengine - INFO - Epoch(train) [442][15/63] lr: 1.0000e-06 eta: 10:47:52 time: 2.0626 data_time: 0.1590 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0619 loss: 0.1940 2022/08/27 06:13:50 - mmengine - INFO - Epoch(train) [442][20/63] lr: 1.0000e-06 eta: 10:47:06 time: 1.9534 data_time: 0.1714 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0564 loss: 0.1780 2022/08/27 06:14:05 - mmengine - INFO - Epoch(train) [442][25/63] lr: 1.0000e-06 eta: 10:47:06 time: 2.0527 data_time: 0.1140 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0619 loss: 0.1958 2022/08/27 06:14:10 - mmengine - INFO - Epoch(train) [442][30/63] lr: 1.0000e-06 eta: 10:46:21 time: 2.0732 data_time: 0.0813 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0630 loss: 0.1998 2022/08/27 06:14:27 - mmengine - INFO - Epoch(train) [442][35/63] lr: 1.0000e-06 eta: 10:46:21 time: 2.1420 data_time: 0.1394 memory: 28971 loss_text: 0.1141 loss_kernel: 0.0535 loss: 0.1677 2022/08/27 06:14:41 - mmengine - INFO - Epoch(train) [442][40/63] lr: 1.0000e-06 eta: 10:45:39 time: 3.0368 data_time: 0.1647 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0595 loss: 0.1879 2022/08/27 06:14:48 - mmengine - INFO - Epoch(train) [442][45/63] lr: 1.0000e-06 eta: 10:45:39 time: 2.0828 data_time: 0.2132 memory: 28971 loss_text: 0.1435 loss_kernel: 0.0656 loss: 0.2091 2022/08/27 06:15:14 - mmengine - INFO - Epoch(train) [442][50/63] lr: 1.0000e-06 eta: 10:44:58 time: 3.1821 data_time: 0.2424 memory: 28971 loss_text: 0.1397 loss_kernel: 0.0643 loss: 0.2040 2022/08/27 06:16:05 - mmengine - INFO - Epoch(train) [442][55/63] lr: 1.0000e-06 eta: 10:44:58 time: 7.7338 data_time: 0.4166 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0644 loss: 0.2031 2022/08/27 06:16:20 - mmengine - INFO - Epoch(train) [442][60/63] lr: 1.0000e-06 eta: 10:44:29 time: 6.7596 data_time: 0.4206 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0643 loss: 0.2025 2022/08/27 06:16:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:17:58 - mmengine - INFO - Epoch(train) [443][5/63] lr: 1.0000e-06 eta: 10:44:29 time: 10.1968 data_time: 8.5151 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0695 loss: 0.2163 2022/08/27 06:18:02 - mmengine - INFO - Epoch(train) [443][10/63] lr: 1.0000e-06 eta: 10:43:55 time: 9.6654 data_time: 8.4765 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0572 loss: 0.1778 2022/08/27 06:18:11 - mmengine - INFO - Epoch(train) [443][15/63] lr: 1.0000e-06 eta: 10:43:55 time: 1.3014 data_time: 0.0499 memory: 28971 loss_text: 0.1082 loss_kernel: 0.0523 loss: 0.1604 2022/08/27 06:18:17 - mmengine - INFO - Epoch(train) [443][20/63] lr: 1.0000e-06 eta: 10:43:08 time: 1.4764 data_time: 0.0666 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0513 loss: 0.1571 2022/08/27 06:18:21 - mmengine - INFO - Epoch(train) [443][25/63] lr: 1.0000e-06 eta: 10:43:08 time: 1.0472 data_time: 0.0525 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0683 loss: 0.2175 2022/08/27 06:18:27 - mmengine - INFO - Epoch(train) [443][30/63] lr: 1.0000e-06 eta: 10:42:19 time: 0.9843 data_time: 0.0473 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0678 loss: 0.2148 2022/08/27 06:18:31 - mmengine - INFO - Epoch(train) [443][35/63] lr: 1.0000e-06 eta: 10:42:19 time: 1.0329 data_time: 0.0439 memory: 28971 loss_text: 0.1016 loss_kernel: 0.0491 loss: 0.1507 2022/08/27 06:18:36 - mmengine - INFO - Epoch(train) [443][40/63] lr: 1.0000e-06 eta: 10:41:29 time: 0.9443 data_time: 0.0378 memory: 28971 loss_text: 0.1050 loss_kernel: 0.0500 loss: 0.1550 2022/08/27 06:18:41 - mmengine - INFO - Epoch(train) [443][45/63] lr: 1.0000e-06 eta: 10:41:29 time: 0.9817 data_time: 0.0443 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0570 loss: 0.1798 2022/08/27 06:18:46 - mmengine - INFO - Epoch(train) [443][50/63] lr: 1.0000e-06 eta: 10:40:41 time: 1.0421 data_time: 0.0390 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0611 loss: 0.1931 2022/08/27 06:18:56 - mmengine - INFO - Epoch(train) [443][55/63] lr: 1.0000e-06 eta: 10:40:41 time: 1.4380 data_time: 0.0509 memory: 28971 loss_text: 0.1263 loss_kernel: 0.0591 loss: 0.1854 2022/08/27 06:19:01 - mmengine - INFO - Epoch(train) [443][60/63] lr: 1.0000e-06 eta: 10:39:53 time: 1.5014 data_time: 0.0712 memory: 28971 loss_text: 0.1052 loss_kernel: 0.0502 loss: 0.1555 2022/08/27 06:19:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:20:45 - mmengine - INFO - Epoch(train) [444][5/63] lr: 1.0000e-06 eta: 10:39:53 time: 10.4785 data_time: 8.7846 memory: 28971 loss_text: 0.1066 loss_kernel: 0.0510 loss: 0.1576 2022/08/27 06:20:50 - mmengine - INFO - Epoch(train) [444][10/63] lr: 1.0000e-06 eta: 10:39:21 time: 10.2711 data_time: 8.7899 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0610 loss: 0.1906 2022/08/27 06:21:07 - mmengine - INFO - Epoch(train) [444][15/63] lr: 1.0000e-06 eta: 10:39:21 time: 2.1602 data_time: 0.1397 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0585 loss: 0.1821 2022/08/27 06:21:22 - mmengine - INFO - Epoch(train) [444][20/63] lr: 1.0000e-06 eta: 10:38:40 time: 3.1146 data_time: 0.1611 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0579 loss: 0.1800 2022/08/27 06:21:30 - mmengine - INFO - Epoch(train) [444][25/63] lr: 1.0000e-06 eta: 10:38:40 time: 2.3656 data_time: 0.2496 memory: 28971 loss_text: 0.1271 loss_kernel: 0.0584 loss: 0.1854 2022/08/27 06:21:45 - mmengine - INFO - Epoch(train) [444][30/63] lr: 1.0000e-06 eta: 10:37:56 time: 2.4008 data_time: 0.2299 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0563 loss: 0.1792 2022/08/27 06:21:59 - mmengine - INFO - Epoch(train) [444][35/63] lr: 1.0000e-06 eta: 10:37:56 time: 2.8484 data_time: 0.0998 memory: 28971 loss_text: 0.1448 loss_kernel: 0.0672 loss: 0.2120 2022/08/27 06:22:07 - mmengine - INFO - Epoch(train) [444][40/63] lr: 1.0000e-06 eta: 10:37:11 time: 2.1244 data_time: 0.1274 memory: 28971 loss_text: 0.1725 loss_kernel: 0.0790 loss: 0.2515 2022/08/27 06:22:25 - mmengine - INFO - Epoch(train) [444][45/63] lr: 1.0000e-06 eta: 10:37:11 time: 2.6128 data_time: 0.1879 memory: 28971 loss_text: 0.1463 loss_kernel: 0.0681 loss: 0.2144 2022/08/27 06:22:35 - mmengine - INFO - Epoch(train) [444][50/63] lr: 1.0000e-06 eta: 10:36:28 time: 2.8446 data_time: 0.1774 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0512 loss: 0.1566 2022/08/27 06:22:48 - mmengine - INFO - Epoch(train) [444][55/63] lr: 1.0000e-06 eta: 10:36:28 time: 2.2929 data_time: 0.0919 memory: 28971 loss_text: 0.0919 loss_kernel: 0.0457 loss: 0.1376 2022/08/27 06:23:02 - mmengine - INFO - Epoch(train) [444][60/63] lr: 1.0000e-06 eta: 10:35:45 time: 2.6565 data_time: 0.0893 memory: 28971 loss_text: 0.0800 loss_kernel: 0.0411 loss: 0.1212 2022/08/27 06:23:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:24:50 - mmengine - INFO - Epoch(train) [445][5/63] lr: 1.0000e-06 eta: 10:35:45 time: 11.0147 data_time: 8.9056 memory: 28971 loss_text: 0.1198 loss_kernel: 0.0581 loss: 0.1779 2022/08/27 06:24:55 - mmengine - INFO - Epoch(train) [445][10/63] lr: 1.0000e-06 eta: 10:35:16 time: 10.9633 data_time: 8.9507 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0663 loss: 0.2070 2022/08/27 06:25:10 - mmengine - INFO - Epoch(train) [445][15/63] lr: 1.0000e-06 eta: 10:35:16 time: 2.0094 data_time: 0.0962 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0578 loss: 0.1810 2022/08/27 06:25:15 - mmengine - INFO - Epoch(train) [445][20/63] lr: 1.0000e-06 eta: 10:34:30 time: 2.0004 data_time: 0.1193 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0582 loss: 0.1830 2022/08/27 06:25:30 - mmengine - INFO - Epoch(train) [445][25/63] lr: 1.0000e-06 eta: 10:34:30 time: 2.0723 data_time: 0.1673 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0599 loss: 0.1890 2022/08/27 06:25:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:25:35 - mmengine - INFO - Epoch(train) [445][30/63] lr: 1.0000e-06 eta: 10:33:44 time: 1.9341 data_time: 0.1045 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0644 loss: 0.2016 2022/08/27 06:25:49 - mmengine - INFO - Epoch(train) [445][35/63] lr: 1.0000e-06 eta: 10:33:44 time: 1.8540 data_time: 0.0564 memory: 28971 loss_text: 0.1162 loss_kernel: 0.0565 loss: 0.1727 2022/08/27 06:25:54 - mmengine - INFO - Epoch(train) [445][40/63] lr: 1.0000e-06 eta: 10:32:59 time: 1.9108 data_time: 0.0741 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0641 loss: 0.2022 2022/08/27 06:26:09 - mmengine - INFO - Epoch(train) [445][45/63] lr: 1.0000e-06 eta: 10:32:59 time: 2.0396 data_time: 0.0742 memory: 28971 loss_text: 0.1555 loss_kernel: 0.0717 loss: 0.2272 2022/08/27 06:26:15 - mmengine - INFO - Epoch(train) [445][50/63] lr: 1.0000e-06 eta: 10:32:14 time: 2.1119 data_time: 0.0996 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0607 loss: 0.1879 2022/08/27 06:26:35 - mmengine - INFO - Epoch(train) [445][55/63] lr: 1.0000e-06 eta: 10:32:14 time: 2.5427 data_time: 0.1762 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0557 loss: 0.1720 2022/08/27 06:26:53 - mmengine - INFO - Epoch(train) [445][60/63] lr: 1.0000e-06 eta: 10:31:35 time: 3.7878 data_time: 0.1890 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0584 loss: 0.1811 2022/08/27 06:26:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:28:39 - mmengine - INFO - Epoch(train) [446][5/63] lr: 1.0000e-06 eta: 10:31:35 time: 11.2922 data_time: 9.0866 memory: 28971 loss_text: 0.1769 loss_kernel: 0.0814 loss: 0.2583 2022/08/27 06:28:45 - mmengine - INFO - Epoch(train) [446][10/63] lr: 1.0000e-06 eta: 10:31:04 time: 10.6690 data_time: 9.0379 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0650 loss: 0.2040 2022/08/27 06:29:00 - mmengine - INFO - Epoch(train) [446][15/63] lr: 1.0000e-06 eta: 10:31:04 time: 2.0899 data_time: 0.1068 memory: 28971 loss_text: 0.1046 loss_kernel: 0.0507 loss: 0.1553 2022/08/27 06:29:05 - mmengine - INFO - Epoch(train) [446][20/63] lr: 1.0000e-06 eta: 10:30:19 time: 2.0411 data_time: 0.1144 memory: 28971 loss_text: 0.1186 loss_kernel: 0.0564 loss: 0.1751 2022/08/27 06:29:22 - mmengine - INFO - Epoch(train) [446][25/63] lr: 1.0000e-06 eta: 10:30:19 time: 2.1602 data_time: 0.1035 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0666 loss: 0.2103 2022/08/27 06:29:27 - mmengine - INFO - Epoch(train) [446][30/63] lr: 1.0000e-06 eta: 10:29:34 time: 2.1355 data_time: 0.0903 memory: 28971 loss_text: 0.1132 loss_kernel: 0.0538 loss: 0.1669 2022/08/27 06:29:41 - mmengine - INFO - Epoch(train) [446][35/63] lr: 1.0000e-06 eta: 10:29:34 time: 1.8756 data_time: 0.1231 memory: 28971 loss_text: 0.1021 loss_kernel: 0.0485 loss: 0.1506 2022/08/27 06:29:45 - mmengine - INFO - Epoch(train) [446][40/63] lr: 1.0000e-06 eta: 10:28:48 time: 1.8564 data_time: 0.0989 memory: 28971 loss_text: 0.1463 loss_kernel: 0.0661 loss: 0.2124 2022/08/27 06:30:02 - mmengine - INFO - Epoch(train) [446][45/63] lr: 1.0000e-06 eta: 10:28:48 time: 2.1057 data_time: 0.0747 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0677 loss: 0.2173 2022/08/27 06:30:06 - mmengine - INFO - Epoch(train) [446][50/63] lr: 1.0000e-06 eta: 10:28:03 time: 2.1180 data_time: 0.1007 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0579 loss: 0.1814 2022/08/27 06:30:24 - mmengine - INFO - Epoch(train) [446][55/63] lr: 1.0000e-06 eta: 10:28:03 time: 2.2504 data_time: 0.1260 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0548 loss: 0.1703 2022/08/27 06:30:29 - mmengine - INFO - Epoch(train) [446][60/63] lr: 1.0000e-06 eta: 10:27:19 time: 2.2699 data_time: 0.1459 memory: 28971 loss_text: 0.1059 loss_kernel: 0.0507 loss: 0.1565 2022/08/27 06:30:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:32:29 - mmengine - INFO - Epoch(train) [447][5/63] lr: 1.0000e-06 eta: 10:27:19 time: 12.1348 data_time: 9.2656 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0551 loss: 0.1714 2022/08/27 06:32:34 - mmengine - INFO - Epoch(train) [447][10/63] lr: 1.0000e-06 eta: 10:26:49 time: 11.1388 data_time: 9.3017 memory: 28971 loss_text: 0.1342 loss_kernel: 0.0616 loss: 0.1958 2022/08/27 06:32:52 - mmengine - INFO - Epoch(train) [447][15/63] lr: 1.0000e-06 eta: 10:26:49 time: 2.1941 data_time: 0.0954 memory: 28971 loss_text: 0.1102 loss_kernel: 0.0521 loss: 0.1623 2022/08/27 06:32:57 - mmengine - INFO - Epoch(train) [447][20/63] lr: 1.0000e-06 eta: 10:26:05 time: 2.2264 data_time: 0.1157 memory: 28971 loss_text: 0.1079 loss_kernel: 0.0521 loss: 0.1600 2022/08/27 06:33:17 - mmengine - INFO - Epoch(train) [447][25/63] lr: 1.0000e-06 eta: 10:26:05 time: 2.5176 data_time: 0.2976 memory: 28971 loss_text: 0.1302 loss_kernel: 0.0611 loss: 0.1914 2022/08/27 06:33:35 - mmengine - INFO - Epoch(train) [447][30/63] lr: 1.0000e-06 eta: 10:25:26 time: 3.7801 data_time: 0.2948 memory: 28971 loss_text: 0.1362 loss_kernel: 0.0641 loss: 0.2003 2022/08/27 06:33:39 - mmengine - INFO - Epoch(train) [447][35/63] lr: 1.0000e-06 eta: 10:25:26 time: 2.2777 data_time: 0.1382 memory: 28971 loss_text: 0.1286 loss_kernel: 0.0600 loss: 0.1886 2022/08/27 06:33:56 - mmengine - INFO - Epoch(train) [447][40/63] lr: 1.0000e-06 eta: 10:24:41 time: 2.1558 data_time: 0.0897 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0617 loss: 0.1944 2022/08/27 06:34:01 - mmengine - INFO - Epoch(train) [447][45/63] lr: 1.0000e-06 eta: 10:24:41 time: 2.2038 data_time: 0.1099 memory: 28971 loss_text: 0.1518 loss_kernel: 0.0706 loss: 0.2224 2022/08/27 06:34:19 - mmengine - INFO - Epoch(train) [447][50/63] lr: 1.0000e-06 eta: 10:23:57 time: 2.2572 data_time: 0.1527 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0628 loss: 0.1998 2022/08/27 06:34:24 - mmengine - INFO - Epoch(train) [447][55/63] lr: 1.0000e-06 eta: 10:23:57 time: 2.2913 data_time: 0.1758 memory: 28971 loss_text: 0.1171 loss_kernel: 0.0545 loss: 0.1716 2022/08/27 06:34:43 - mmengine - INFO - Epoch(train) [447][60/63] lr: 1.0000e-06 eta: 10:23:13 time: 2.3769 data_time: 0.1914 memory: 28971 loss_text: 0.1197 loss_kernel: 0.0576 loss: 0.1773 2022/08/27 06:34:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:36:40 - mmengine - INFO - Epoch(train) [448][5/63] lr: 1.0000e-06 eta: 10:23:13 time: 11.8736 data_time: 9.0603 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0553 loss: 0.1717 2022/08/27 06:36:45 - mmengine - INFO - Epoch(train) [448][10/63] lr: 1.0000e-06 eta: 10:22:42 time: 10.8791 data_time: 9.0476 memory: 28971 loss_text: 0.1119 loss_kernel: 0.0536 loss: 0.1654 2022/08/27 06:36:59 - mmengine - INFO - Epoch(train) [448][15/63] lr: 1.0000e-06 eta: 10:22:42 time: 1.9075 data_time: 0.1064 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0617 loss: 0.1927 2022/08/27 06:37:04 - mmengine - INFO - Epoch(train) [448][20/63] lr: 1.0000e-06 eta: 10:21:57 time: 1.9011 data_time: 0.1030 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0592 loss: 0.1865 2022/08/27 06:37:18 - mmengine - INFO - Epoch(train) [448][25/63] lr: 1.0000e-06 eta: 10:21:57 time: 1.9585 data_time: 0.1141 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0552 loss: 0.1728 2022/08/27 06:37:23 - mmengine - INFO - Epoch(train) [448][30/63] lr: 1.0000e-06 eta: 10:21:11 time: 1.9205 data_time: 0.0914 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0643 loss: 0.2006 2022/08/27 06:37:37 - mmengine - INFO - Epoch(train) [448][35/63] lr: 1.0000e-06 eta: 10:21:11 time: 1.8518 data_time: 0.0755 memory: 28971 loss_text: 0.1431 loss_kernel: 0.0669 loss: 0.2101 2022/08/27 06:37:42 - mmengine - INFO - Epoch(train) [448][40/63] lr: 1.0000e-06 eta: 10:20:26 time: 1.8693 data_time: 0.0658 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0684 loss: 0.2166 2022/08/27 06:37:52 - mmengine - INFO - Epoch(train) [448][45/63] lr: 1.0000e-06 eta: 10:20:26 time: 1.4463 data_time: 0.0632 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0594 loss: 0.1855 2022/08/27 06:38:03 - mmengine - INFO - Epoch(train) [448][50/63] lr: 1.0000e-06 eta: 10:19:41 time: 2.0705 data_time: 0.2620 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0608 loss: 0.1897 2022/08/27 06:38:21 - mmengine - INFO - Epoch(train) [448][55/63] lr: 1.0000e-06 eta: 10:19:41 time: 2.9037 data_time: 0.2541 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0678 loss: 0.2135 2022/08/27 06:38:25 - mmengine - INFO - Epoch(train) [448][60/63] lr: 1.0000e-06 eta: 10:18:56 time: 2.2805 data_time: 0.1081 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0568 loss: 0.1768 2022/08/27 06:38:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:40:11 - mmengine - INFO - Epoch(train) [449][5/63] lr: 1.0000e-06 eta: 10:18:56 time: 10.6887 data_time: 8.9570 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0555 loss: 0.1723 2022/08/27 06:40:15 - mmengine - INFO - Epoch(train) [449][10/63] lr: 1.0000e-06 eta: 10:18:24 time: 10.4272 data_time: 8.9844 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0576 loss: 0.1791 2022/08/27 06:40:30 - mmengine - INFO - Epoch(train) [449][15/63] lr: 1.0000e-06 eta: 10:18:24 time: 1.9351 data_time: 0.0679 memory: 28971 loss_text: 0.1435 loss_kernel: 0.0669 loss: 0.2104 2022/08/27 06:40:35 - mmengine - INFO - Epoch(train) [449][20/63] lr: 1.0000e-06 eta: 10:17:39 time: 1.9468 data_time: 0.1000 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0682 loss: 0.2153 2022/08/27 06:40:50 - mmengine - INFO - Epoch(train) [449][25/63] lr: 1.0000e-06 eta: 10:17:39 time: 1.9725 data_time: 0.1698 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0619 loss: 0.1956 2022/08/27 06:40:54 - mmengine - INFO - Epoch(train) [449][30/63] lr: 1.0000e-06 eta: 10:16:54 time: 1.9604 data_time: 0.1603 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0692 loss: 0.2190 2022/08/27 06:41:09 - mmengine - INFO - Epoch(train) [449][35/63] lr: 1.0000e-06 eta: 10:16:54 time: 1.9343 data_time: 0.1110 memory: 28971 loss_text: 0.1446 loss_kernel: 0.0676 loss: 0.2122 2022/08/27 06:41:14 - mmengine - INFO - Epoch(train) [449][40/63] lr: 1.0000e-06 eta: 10:16:08 time: 1.9634 data_time: 0.0822 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0639 loss: 0.2011 2022/08/27 06:41:28 - mmengine - INFO - Epoch(train) [449][45/63] lr: 1.0000e-06 eta: 10:16:08 time: 1.8800 data_time: 0.0680 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0608 loss: 0.1939 2022/08/27 06:41:33 - mmengine - INFO - Epoch(train) [449][50/63] lr: 1.0000e-06 eta: 10:15:23 time: 1.9384 data_time: 0.1027 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0550 loss: 0.1762 2022/08/27 06:41:49 - mmengine - INFO - Epoch(train) [449][55/63] lr: 1.0000e-06 eta: 10:15:23 time: 2.0517 data_time: 0.0852 memory: 28971 loss_text: 0.1079 loss_kernel: 0.0498 loss: 0.1577 2022/08/27 06:41:55 - mmengine - INFO - Epoch(train) [449][60/63] lr: 1.0000e-06 eta: 10:14:38 time: 2.1158 data_time: 0.1553 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0580 loss: 0.1828 2022/08/27 06:42:06 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:43:50 - mmengine - INFO - Epoch(train) [450][5/63] lr: 1.0000e-06 eta: 10:14:38 time: 11.6749 data_time: 9.1194 memory: 28971 loss_text: 0.1056 loss_kernel: 0.0503 loss: 0.1560 2022/08/27 06:43:59 - mmengine - INFO - Epoch(train) [450][10/63] lr: 1.0000e-06 eta: 10:14:09 time: 11.1927 data_time: 9.1606 memory: 28971 loss_text: 0.0931 loss_kernel: 0.0455 loss: 0.1387 2022/08/27 06:44:11 - mmengine - INFO - Epoch(train) [450][15/63] lr: 1.0000e-06 eta: 10:14:09 time: 2.0524 data_time: 0.1502 memory: 28971 loss_text: 0.1040 loss_kernel: 0.0511 loss: 0.1551 2022/08/27 06:44:16 - mmengine - INFO - Epoch(train) [450][20/63] lr: 1.0000e-06 eta: 10:13:23 time: 1.7676 data_time: 0.1492 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0697 loss: 0.2191 2022/08/27 06:44:30 - mmengine - INFO - Epoch(train) [450][25/63] lr: 1.0000e-06 eta: 10:13:23 time: 1.9387 data_time: 0.1232 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0684 loss: 0.2155 2022/08/27 06:44:34 - mmengine - INFO - Epoch(train) [450][30/63] lr: 1.0000e-06 eta: 10:12:37 time: 1.8380 data_time: 0.1175 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0613 loss: 0.1914 2022/08/27 06:44:51 - mmengine - INFO - Epoch(train) [450][35/63] lr: 1.0000e-06 eta: 10:12:37 time: 2.1162 data_time: 0.0775 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0610 loss: 0.1894 2022/08/27 06:44:56 - mmengine - INFO - Epoch(train) [450][40/63] lr: 1.0000e-06 eta: 10:11:53 time: 2.1715 data_time: 0.0907 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0565 loss: 0.1765 2022/08/27 06:45:11 - mmengine - INFO - Epoch(train) [450][45/63] lr: 1.0000e-06 eta: 10:11:53 time: 1.9716 data_time: 0.2054 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0633 loss: 0.2014 2022/08/27 06:45:16 - mmengine - INFO - Epoch(train) [450][50/63] lr: 1.0000e-06 eta: 10:11:08 time: 1.9727 data_time: 0.2080 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0606 loss: 0.1900 2022/08/27 06:45:31 - mmengine - INFO - Epoch(train) [450][55/63] lr: 1.0000e-06 eta: 10:11:08 time: 1.9697 data_time: 0.1248 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0573 loss: 0.1793 2022/08/27 06:45:35 - mmengine - INFO - Epoch(train) [450][60/63] lr: 1.0000e-06 eta: 10:10:23 time: 1.9439 data_time: 0.1268 memory: 28971 loss_text: 0.1356 loss_kernel: 0.0634 loss: 0.1990 2022/08/27 06:45:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:47:35 - mmengine - INFO - Epoch(train) [451][5/63] lr: 1.0000e-06 eta: 10:10:23 time: 12.0395 data_time: 9.3429 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0656 loss: 0.2076 2022/08/27 06:47:40 - mmengine - INFO - Epoch(train) [451][10/63] lr: 1.0000e-06 eta: 10:09:52 time: 10.8739 data_time: 9.2752 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0621 loss: 0.1944 2022/08/27 06:47:54 - mmengine - INFO - Epoch(train) [451][15/63] lr: 1.0000e-06 eta: 10:09:52 time: 1.9406 data_time: 0.0942 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0607 loss: 0.1871 2022/08/27 06:47:59 - mmengine - INFO - Epoch(train) [451][20/63] lr: 1.0000e-06 eta: 10:09:06 time: 1.9067 data_time: 0.1104 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0625 loss: 0.1942 2022/08/27 06:48:14 - mmengine - INFO - Epoch(train) [451][25/63] lr: 1.0000e-06 eta: 10:09:06 time: 1.9977 data_time: 0.1038 memory: 28971 loss_text: 0.1254 loss_kernel: 0.0581 loss: 0.1835 2022/08/27 06:48:18 - mmengine - INFO - Epoch(train) [451][30/63] lr: 1.0000e-06 eta: 10:08:21 time: 1.9599 data_time: 0.0788 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0663 loss: 0.2107 2022/08/27 06:48:36 - mmengine - INFO - Epoch(train) [451][35/63] lr: 1.0000e-06 eta: 10:08:21 time: 2.1800 data_time: 0.0977 memory: 28971 loss_text: 0.1377 loss_kernel: 0.0640 loss: 0.2016 2022/08/27 06:48:40 - mmengine - INFO - Epoch(train) [451][40/63] lr: 1.0000e-06 eta: 10:07:37 time: 2.1907 data_time: 0.0783 memory: 28971 loss_text: 0.1141 loss_kernel: 0.0546 loss: 0.1687 2022/08/27 06:48:57 - mmengine - INFO - Epoch(train) [451][45/63] lr: 1.0000e-06 eta: 10:07:37 time: 2.0713 data_time: 0.1022 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0613 loss: 0.1924 2022/08/27 06:49:01 - mmengine - INFO - Epoch(train) [451][50/63] lr: 1.0000e-06 eta: 10:06:52 time: 2.1047 data_time: 0.1362 memory: 28971 loss_text: 0.1350 loss_kernel: 0.0622 loss: 0.1972 2022/08/27 06:49:17 - mmengine - INFO - Epoch(train) [451][55/63] lr: 1.0000e-06 eta: 10:06:52 time: 1.9876 data_time: 0.0887 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0588 loss: 0.1850 2022/08/27 06:49:36 - mmengine - INFO - Epoch(train) [451][60/63] lr: 1.0000e-06 eta: 10:06:12 time: 3.4498 data_time: 0.1838 memory: 28971 loss_text: 0.1286 loss_kernel: 0.0599 loss: 0.1885 2022/08/27 06:49:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:51:25 - mmengine - INFO - Epoch(train) [452][5/63] lr: 1.0000e-06 eta: 10:06:12 time: 12.3574 data_time: 9.4152 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0583 loss: 0.1832 2022/08/27 06:51:30 - mmengine - INFO - Epoch(train) [452][10/63] lr: 1.0000e-06 eta: 10:05:42 time: 11.0343 data_time: 9.4261 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0502 loss: 0.1560 2022/08/27 06:51:44 - mmengine - INFO - Epoch(train) [452][15/63] lr: 1.0000e-06 eta: 10:05:42 time: 1.9133 data_time: 0.0807 memory: 28971 loss_text: 0.1002 loss_kernel: 0.0496 loss: 0.1499 2022/08/27 06:51:49 - mmengine - INFO - Epoch(train) [452][20/63] lr: 1.0000e-06 eta: 10:04:57 time: 1.9618 data_time: 0.0850 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0552 loss: 0.1716 2022/08/27 06:52:04 - mmengine - INFO - Epoch(train) [452][25/63] lr: 1.0000e-06 eta: 10:04:57 time: 1.9858 data_time: 0.1672 memory: 28971 loss_text: 0.1223 loss_kernel: 0.0565 loss: 0.1788 2022/08/27 06:52:10 - mmengine - INFO - Epoch(train) [452][30/63] lr: 1.0000e-06 eta: 10:04:12 time: 2.0717 data_time: 0.1574 memory: 28971 loss_text: 0.1198 loss_kernel: 0.0558 loss: 0.1756 2022/08/27 06:52:26 - mmengine - INFO - Epoch(train) [452][35/63] lr: 1.0000e-06 eta: 10:04:12 time: 2.2420 data_time: 0.2353 memory: 28971 loss_text: 0.1237 loss_kernel: 0.0584 loss: 0.1821 2022/08/27 06:52:30 - mmengine - INFO - Epoch(train) [452][40/63] lr: 1.0000e-06 eta: 10:03:27 time: 2.0313 data_time: 0.2104 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0661 loss: 0.2061 2022/08/27 06:52:45 - mmengine - INFO - Epoch(train) [452][45/63] lr: 1.0000e-06 eta: 10:03:27 time: 1.8661 data_time: 0.1073 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0646 loss: 0.2025 2022/08/27 06:52:51 - mmengine - INFO - Epoch(train) [452][50/63] lr: 1.0000e-06 eta: 10:02:42 time: 2.0100 data_time: 0.1487 memory: 28971 loss_text: 0.1217 loss_kernel: 0.0582 loss: 0.1799 2022/08/27 06:53:04 - mmengine - INFO - Epoch(train) [452][55/63] lr: 1.0000e-06 eta: 10:02:42 time: 1.8588 data_time: 0.0820 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0573 loss: 0.1773 2022/08/27 06:53:10 - mmengine - INFO - Epoch(train) [452][60/63] lr: 1.0000e-06 eta: 10:01:57 time: 1.9835 data_time: 0.1775 memory: 28971 loss_text: 0.1180 loss_kernel: 0.0573 loss: 0.1753 2022/08/27 06:53:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:55:17 - mmengine - INFO - Epoch(train) [453][5/63] lr: 1.0000e-06 eta: 10:01:57 time: 12.7416 data_time: 9.6879 memory: 28971 loss_text: 0.1431 loss_kernel: 0.0672 loss: 0.2102 2022/08/27 06:55:30 - mmengine - INFO - Epoch(train) [453][10/63] lr: 1.0000e-06 eta: 10:01:30 time: 12.2315 data_time: 9.7051 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0701 loss: 0.2205 2022/08/27 06:55:37 - mmengine - INFO - Epoch(train) [453][15/63] lr: 1.0000e-06 eta: 10:01:30 time: 2.0708 data_time: 0.1971 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0508 loss: 0.1566 2022/08/27 06:55:48 - mmengine - INFO - Epoch(train) [453][20/63] lr: 1.0000e-06 eta: 10:00:45 time: 1.7835 data_time: 0.1653 memory: 28971 loss_text: 0.1115 loss_kernel: 0.0528 loss: 0.1642 2022/08/27 06:55:58 - mmengine - INFO - Epoch(train) [453][25/63] lr: 1.0000e-06 eta: 10:00:45 time: 2.0921 data_time: 0.1067 memory: 28971 loss_text: 0.1154 loss_kernel: 0.0543 loss: 0.1697 2022/08/27 06:56:15 - mmengine - INFO - Epoch(train) [453][30/63] lr: 1.0000e-06 eta: 10:00:02 time: 2.7215 data_time: 0.1819 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0605 loss: 0.1902 2022/08/27 06:56:19 - mmengine - INFO - Epoch(train) [453][35/63] lr: 1.0000e-06 eta: 10:00:02 time: 2.0863 data_time: 0.1388 memory: 28971 loss_text: 0.1655 loss_kernel: 0.0751 loss: 0.2407 2022/08/27 06:56:34 - mmengine - INFO - Epoch(train) [453][40/63] lr: 1.0000e-06 eta: 9:59:17 time: 1.9433 data_time: 0.0805 memory: 28971 loss_text: 0.1630 loss_kernel: 0.0750 loss: 0.2380 2022/08/27 06:56:39 - mmengine - INFO - Epoch(train) [453][45/63] lr: 1.0000e-06 eta: 9:59:17 time: 1.9744 data_time: 0.1178 memory: 28971 loss_text: 0.1621 loss_kernel: 0.0751 loss: 0.2372 2022/08/27 06:56:52 - mmengine - INFO - Epoch(train) [453][50/63] lr: 1.0000e-06 eta: 9:58:32 time: 1.7184 data_time: 0.1444 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0728 loss: 0.2308 2022/08/27 06:57:02 - mmengine - INFO - Epoch(train) [453][55/63] lr: 1.0000e-06 eta: 9:58:32 time: 2.2794 data_time: 0.1404 memory: 28971 loss_text: 0.1439 loss_kernel: 0.0669 loss: 0.2108 2022/08/27 06:57:13 - mmengine - INFO - Epoch(train) [453][60/63] lr: 1.0000e-06 eta: 9:57:47 time: 2.1749 data_time: 0.2015 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0625 loss: 0.1956 2022/08/27 06:57:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 06:59:05 - mmengine - INFO - Epoch(train) [454][5/63] lr: 1.0000e-06 eta: 9:57:47 time: 11.3109 data_time: 9.2563 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0646 loss: 0.2032 2022/08/27 06:59:11 - mmengine - INFO - Epoch(train) [454][10/63] lr: 1.0000e-06 eta: 9:57:18 time: 11.4855 data_time: 9.2507 memory: 28971 loss_text: 0.1581 loss_kernel: 0.0728 loss: 0.2309 2022/08/27 06:59:26 - mmengine - INFO - Epoch(train) [454][15/63] lr: 1.0000e-06 eta: 9:57:18 time: 2.1385 data_time: 0.0973 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0625 loss: 0.1963 2022/08/27 06:59:38 - mmengine - INFO - Epoch(train) [454][20/63] lr: 1.0000e-06 eta: 9:56:35 time: 2.6948 data_time: 0.0773 memory: 28971 loss_text: 0.1410 loss_kernel: 0.0658 loss: 0.2068 2022/08/27 06:59:46 - mmengine - INFO - Epoch(train) [454][25/63] lr: 1.0000e-06 eta: 9:56:35 time: 2.0334 data_time: 0.1483 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0674 loss: 0.2131 2022/08/27 06:59:51 - mmengine - INFO - Epoch(train) [454][30/63] lr: 1.0000e-06 eta: 9:55:48 time: 1.2684 data_time: 0.1415 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0666 loss: 0.2121 2022/08/27 07:00:06 - mmengine - INFO - Epoch(train) [454][35/63] lr: 1.0000e-06 eta: 9:55:48 time: 1.9527 data_time: 0.1597 memory: 28971 loss_text: 0.1579 loss_kernel: 0.0724 loss: 0.2303 2022/08/27 07:00:11 - mmengine - INFO - Epoch(train) [454][40/63] lr: 1.0000e-06 eta: 9:55:03 time: 2.0058 data_time: 0.2020 memory: 28971 loss_text: 0.1535 loss_kernel: 0.0709 loss: 0.2244 2022/08/27 07:00:26 - mmengine - INFO - Epoch(train) [454][45/63] lr: 1.0000e-06 eta: 9:55:03 time: 1.9679 data_time: 0.1351 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0619 loss: 0.1984 2022/08/27 07:00:31 - mmengine - INFO - Epoch(train) [454][50/63] lr: 1.0000e-06 eta: 9:54:19 time: 1.9897 data_time: 0.1108 memory: 28971 loss_text: 0.1138 loss_kernel: 0.0521 loss: 0.1659 2022/08/27 07:00:47 - mmengine - INFO - Epoch(train) [454][55/63] lr: 1.0000e-06 eta: 9:54:19 time: 2.1338 data_time: 0.0833 memory: 28971 loss_text: 0.1145 loss_kernel: 0.0540 loss: 0.1685 2022/08/27 07:00:51 - mmengine - INFO - Epoch(train) [454][60/63] lr: 1.0000e-06 eta: 9:53:34 time: 2.0383 data_time: 0.0758 memory: 28971 loss_text: 0.1263 loss_kernel: 0.0598 loss: 0.1860 2022/08/27 07:00:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:02:31 - mmengine - INFO - Epoch(train) [455][5/63] lr: 1.0000e-06 eta: 9:53:34 time: 10.1617 data_time: 8.4859 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0570 loss: 0.1796 2022/08/27 07:02:36 - mmengine - INFO - Epoch(train) [455][10/63] lr: 1.0000e-06 eta: 9:52:59 time: 9.7710 data_time: 8.4925 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0655 loss: 0.2076 2022/08/27 07:02:46 - mmengine - INFO - Epoch(train) [455][15/63] lr: 1.0000e-06 eta: 9:52:59 time: 1.4226 data_time: 0.0343 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0565 loss: 0.1771 2022/08/27 07:02:50 - mmengine - INFO - Epoch(train) [455][20/63] lr: 1.0000e-06 eta: 9:52:12 time: 1.4302 data_time: 0.0380 memory: 28971 loss_text: 0.1033 loss_kernel: 0.0489 loss: 0.1521 2022/08/27 07:02:56 - mmengine - INFO - Epoch(train) [455][25/63] lr: 1.0000e-06 eta: 9:52:12 time: 1.0014 data_time: 0.0452 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0626 loss: 0.1962 2022/08/27 07:03:03 - mmengine - INFO - Epoch(train) [455][30/63] lr: 1.0000e-06 eta: 9:51:25 time: 1.2654 data_time: 0.0344 memory: 28971 loss_text: 0.1385 loss_kernel: 0.0646 loss: 0.2031 2022/08/27 07:03:09 - mmengine - INFO - Epoch(train) [455][35/63] lr: 1.0000e-06 eta: 9:51:25 time: 1.2901 data_time: 0.0465 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0595 loss: 0.1869 2022/08/27 07:03:14 - mmengine - INFO - Epoch(train) [455][40/63] lr: 1.0000e-06 eta: 9:50:38 time: 1.1703 data_time: 0.0417 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0653 loss: 0.2059 2022/08/27 07:03:21 - mmengine - INFO - Epoch(train) [455][45/63] lr: 1.0000e-06 eta: 9:50:38 time: 1.2475 data_time: 0.0890 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0660 loss: 0.2068 2022/08/27 07:03:26 - mmengine - INFO - Epoch(train) [455][50/63] lr: 1.0000e-06 eta: 9:49:51 time: 1.1183 data_time: 0.0940 memory: 28971 loss_text: 0.1391 loss_kernel: 0.0651 loss: 0.2042 2022/08/27 07:03:35 - mmengine - INFO - Epoch(train) [455][55/63] lr: 1.0000e-06 eta: 9:49:51 time: 1.3635 data_time: 0.0374 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0609 loss: 0.1931 2022/08/27 07:03:39 - mmengine - INFO - Epoch(train) [455][60/63] lr: 1.0000e-06 eta: 9:49:04 time: 1.3521 data_time: 0.0464 memory: 28971 loss_text: 0.1042 loss_kernel: 0.0493 loss: 0.1535 2022/08/27 07:03:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:05:30 - mmengine - INFO - Epoch(train) [456][5/63] lr: 1.0000e-06 eta: 9:49:04 time: 11.2371 data_time: 9.0244 memory: 28971 loss_text: 0.1257 loss_kernel: 0.0601 loss: 0.1858 2022/08/27 07:05:35 - mmengine - INFO - Epoch(train) [456][10/63] lr: 1.0000e-06 eta: 9:48:32 time: 10.8751 data_time: 9.0493 memory: 28971 loss_text: 0.1213 loss_kernel: 0.0579 loss: 0.1792 2022/08/27 07:05:49 - mmengine - INFO - Epoch(train) [456][15/63] lr: 1.0000e-06 eta: 9:48:32 time: 1.8788 data_time: 0.1050 memory: 28971 loss_text: 0.0979 loss_kernel: 0.0474 loss: 0.1453 2022/08/27 07:05:54 - mmengine - INFO - Epoch(train) [456][20/63] lr: 1.0000e-06 eta: 9:47:47 time: 1.8596 data_time: 0.1115 memory: 28971 loss_text: 0.0732 loss_kernel: 0.0369 loss: 0.1101 2022/08/27 07:06:12 - mmengine - INFO - Epoch(train) [456][25/63] lr: 1.0000e-06 eta: 9:47:47 time: 2.2547 data_time: 0.0662 memory: 28971 loss_text: 0.0975 loss_kernel: 0.0471 loss: 0.1446 2022/08/27 07:06:16 - mmengine - INFO - Epoch(train) [456][30/63] lr: 1.0000e-06 eta: 9:47:03 time: 2.2279 data_time: 0.0622 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0623 loss: 0.1976 2022/08/27 07:06:30 - mmengine - INFO - Epoch(train) [456][35/63] lr: 1.0000e-06 eta: 9:47:03 time: 1.8415 data_time: 0.0805 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0590 loss: 0.1863 2022/08/27 07:06:35 - mmengine - INFO - Epoch(train) [456][40/63] lr: 1.0000e-06 eta: 9:46:18 time: 1.9572 data_time: 0.1434 memory: 28971 loss_text: 0.1055 loss_kernel: 0.0506 loss: 0.1561 2022/08/27 07:06:40 - mmengine - INFO - Epoch(train) [456][45/63] lr: 1.0000e-06 eta: 9:46:18 time: 1.0644 data_time: 0.1424 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0585 loss: 0.1815 2022/08/27 07:06:56 - mmengine - INFO - Epoch(train) [456][50/63] lr: 1.0000e-06 eta: 9:45:34 time: 1.9908 data_time: 0.1306 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0620 loss: 0.1946 2022/08/27 07:07:13 - mmengine - INFO - Epoch(train) [456][55/63] lr: 1.0000e-06 eta: 9:45:34 time: 3.2230 data_time: 0.1788 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0632 loss: 0.1989 2022/08/27 07:07:25 - mmengine - INFO - Epoch(train) [456][60/63] lr: 1.0000e-06 eta: 9:44:52 time: 2.9503 data_time: 0.2051 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0590 loss: 0.1835 2022/08/27 07:07:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:09:25 - mmengine - INFO - Epoch(train) [457][5/63] lr: 1.0000e-06 eta: 9:44:52 time: 12.8225 data_time: 9.3410 memory: 28971 loss_text: 0.0905 loss_kernel: 0.0447 loss: 0.1353 2022/08/27 07:09:30 - mmengine - INFO - Epoch(train) [457][10/63] lr: 1.0000e-06 eta: 9:44:21 time: 10.9047 data_time: 9.3369 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0578 loss: 0.1791 2022/08/27 07:09:46 - mmengine - INFO - Epoch(train) [457][15/63] lr: 1.0000e-06 eta: 9:44:21 time: 2.0240 data_time: 0.1138 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0586 loss: 0.1833 2022/08/27 07:09:51 - mmengine - INFO - Epoch(train) [457][20/63] lr: 1.0000e-06 eta: 9:43:36 time: 2.0644 data_time: 0.1443 memory: 28971 loss_text: 0.0940 loss_kernel: 0.0453 loss: 0.1393 2022/08/27 07:10:05 - mmengine - INFO - Epoch(train) [457][25/63] lr: 1.0000e-06 eta: 9:43:36 time: 1.9513 data_time: 0.1641 memory: 28971 loss_text: 0.0981 loss_kernel: 0.0475 loss: 0.1456 2022/08/27 07:10:10 - mmengine - INFO - Epoch(train) [457][30/63] lr: 1.0000e-06 eta: 9:42:51 time: 1.9062 data_time: 0.1481 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0634 loss: 0.2001 2022/08/27 07:10:25 - mmengine - INFO - Epoch(train) [457][35/63] lr: 1.0000e-06 eta: 9:42:51 time: 2.0168 data_time: 0.0837 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0633 loss: 0.2005 2022/08/27 07:10:30 - mmengine - INFO - Epoch(train) [457][40/63] lr: 1.0000e-06 eta: 9:42:07 time: 2.0336 data_time: 0.0874 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0603 loss: 0.1908 2022/08/27 07:10:45 - mmengine - INFO - Epoch(train) [457][45/63] lr: 1.0000e-06 eta: 9:42:07 time: 2.0176 data_time: 0.0605 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0682 loss: 0.2178 2022/08/27 07:10:50 - mmengine - INFO - Epoch(train) [457][50/63] lr: 1.0000e-06 eta: 9:41:22 time: 2.0123 data_time: 0.0790 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0673 loss: 0.2130 2022/08/27 07:11:10 - mmengine - INFO - Epoch(train) [457][55/63] lr: 1.0000e-06 eta: 9:41:22 time: 2.4558 data_time: 0.1787 memory: 28971 loss_text: 0.1644 loss_kernel: 0.0745 loss: 0.2389 2022/08/27 07:11:15 - mmengine - INFO - Epoch(train) [457][60/63] lr: 1.0000e-06 eta: 9:40:39 time: 2.4971 data_time: 0.1519 memory: 28971 loss_text: 0.1619 loss_kernel: 0.0736 loss: 0.2355 2022/08/27 07:11:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:13:15 - mmengine - INFO - Epoch(train) [458][5/63] lr: 1.0000e-06 eta: 9:40:39 time: 12.0697 data_time: 9.5221 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0642 loss: 0.2002 2022/08/27 07:13:21 - mmengine - INFO - Epoch(train) [458][10/63] lr: 1.0000e-06 eta: 9:40:08 time: 11.2123 data_time: 9.5208 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0541 loss: 0.1669 2022/08/27 07:13:36 - mmengine - INFO - Epoch(train) [458][15/63] lr: 1.0000e-06 eta: 9:40:08 time: 2.0348 data_time: 0.0848 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0548 loss: 0.1712 2022/08/27 07:13:54 - mmengine - INFO - Epoch(train) [458][20/63] lr: 1.0000e-06 eta: 9:39:28 time: 3.3075 data_time: 0.4570 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0597 loss: 0.1870 2022/08/27 07:13:58 - mmengine - INFO - Epoch(train) [458][25/63] lr: 1.0000e-06 eta: 9:39:28 time: 2.2959 data_time: 0.4718 memory: 28971 loss_text: 0.1171 loss_kernel: 0.0566 loss: 0.1737 2022/08/27 07:14:13 - mmengine - INFO - Epoch(train) [458][30/63] lr: 1.0000e-06 eta: 9:38:43 time: 1.9228 data_time: 0.0856 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0688 loss: 0.2194 2022/08/27 07:14:19 - mmengine - INFO - Epoch(train) [458][35/63] lr: 1.0000e-06 eta: 9:38:43 time: 2.0200 data_time: 0.1162 memory: 28971 loss_text: 0.1556 loss_kernel: 0.0706 loss: 0.2262 2022/08/27 07:14:34 - mmengine - INFO - Epoch(train) [458][40/63] lr: 1.0000e-06 eta: 9:37:59 time: 2.0741 data_time: 0.1550 memory: 28971 loss_text: 0.1148 loss_kernel: 0.0551 loss: 0.1699 2022/08/27 07:14:40 - mmengine - INFO - Epoch(train) [458][45/63] lr: 1.0000e-06 eta: 9:37:59 time: 2.1637 data_time: 0.1082 memory: 28971 loss_text: 0.1584 loss_kernel: 0.0728 loss: 0.2312 2022/08/27 07:14:56 - mmengine - INFO - Epoch(train) [458][50/63] lr: 1.0000e-06 eta: 9:37:15 time: 2.1937 data_time: 0.1322 memory: 28971 loss_text: 0.1786 loss_kernel: 0.0815 loss: 0.2600 2022/08/27 07:15:00 - mmengine - INFO - Epoch(train) [458][55/63] lr: 1.0000e-06 eta: 9:37:15 time: 2.0076 data_time: 0.1325 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0629 loss: 0.1958 2022/08/27 07:15:16 - mmengine - INFO - Epoch(train) [458][60/63] lr: 1.0000e-06 eta: 9:36:31 time: 1.9991 data_time: 0.1304 memory: 28971 loss_text: 0.1153 loss_kernel: 0.0549 loss: 0.1702 2022/08/27 07:15:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:17:05 - mmengine - INFO - Epoch(train) [459][5/63] lr: 1.0000e-06 eta: 9:36:31 time: 11.1394 data_time: 9.3307 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0671 loss: 0.2073 2022/08/27 07:17:10 - mmengine - INFO - Epoch(train) [459][10/63] lr: 1.0000e-06 eta: 9:35:59 time: 11.0541 data_time: 9.2498 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0566 loss: 0.1717 2022/08/27 07:17:25 - mmengine - INFO - Epoch(train) [459][15/63] lr: 1.0000e-06 eta: 9:35:59 time: 1.9584 data_time: 0.1025 memory: 28971 loss_text: 0.1012 loss_kernel: 0.0494 loss: 0.1506 2022/08/27 07:17:30 - mmengine - INFO - Epoch(train) [459][20/63] lr: 1.0000e-06 eta: 9:35:15 time: 1.9613 data_time: 0.1279 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0590 loss: 0.1822 2022/08/27 07:17:45 - mmengine - INFO - Epoch(train) [459][25/63] lr: 1.0000e-06 eta: 9:35:15 time: 2.0898 data_time: 0.1208 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0586 loss: 0.1793 2022/08/27 07:17:50 - mmengine - INFO - Epoch(train) [459][30/63] lr: 1.0000e-06 eta: 9:34:30 time: 1.9754 data_time: 0.0914 memory: 28971 loss_text: 0.1224 loss_kernel: 0.0577 loss: 0.1800 2022/08/27 07:18:03 - mmengine - INFO - Epoch(train) [459][35/63] lr: 1.0000e-06 eta: 9:34:30 time: 1.7825 data_time: 0.2039 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0634 loss: 0.2015 2022/08/27 07:18:19 - mmengine - INFO - Epoch(train) [459][40/63] lr: 1.0000e-06 eta: 9:33:48 time: 2.8941 data_time: 0.2106 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0596 loss: 0.1856 2022/08/27 07:18:24 - mmengine - INFO - Epoch(train) [459][45/63] lr: 1.0000e-06 eta: 9:33:48 time: 2.0482 data_time: 0.1145 memory: 28971 loss_text: 0.1066 loss_kernel: 0.0515 loss: 0.1580 2022/08/27 07:18:40 - mmengine - INFO - Epoch(train) [459][50/63] lr: 1.0000e-06 eta: 9:33:04 time: 2.1130 data_time: 0.0910 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0585 loss: 0.1826 2022/08/27 07:18:46 - mmengine - INFO - Epoch(train) [459][55/63] lr: 1.0000e-06 eta: 9:33:04 time: 2.2234 data_time: 0.1498 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0572 loss: 0.1783 2022/08/27 07:19:02 - mmengine - INFO - Epoch(train) [459][60/63] lr: 1.0000e-06 eta: 9:32:21 time: 2.1920 data_time: 0.1880 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0615 loss: 0.1945 2022/08/27 07:19:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:20:46 - mmengine - INFO - Epoch(train) [460][5/63] lr: 1.0000e-06 eta: 9:32:21 time: 10.6364 data_time: 9.0559 memory: 28971 loss_text: 0.1527 loss_kernel: 0.0694 loss: 0.2221 2022/08/27 07:20:51 - mmengine - INFO - Epoch(train) [460][10/63] lr: 1.0000e-06 eta: 9:31:47 time: 10.5350 data_time: 9.0131 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0622 loss: 0.1966 2022/08/27 07:21:05 - mmengine - INFO - Epoch(train) [460][15/63] lr: 1.0000e-06 eta: 9:31:47 time: 1.8448 data_time: 0.0702 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0635 loss: 0.1973 2022/08/27 07:21:09 - mmengine - INFO - Epoch(train) [460][20/63] lr: 1.0000e-06 eta: 9:31:02 time: 1.8623 data_time: 0.0957 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0710 loss: 0.2220 2022/08/27 07:21:25 - mmengine - INFO - Epoch(train) [460][25/63] lr: 1.0000e-06 eta: 9:31:02 time: 1.9854 data_time: 0.1479 memory: 28971 loss_text: 0.1532 loss_kernel: 0.0710 loss: 0.2243 2022/08/27 07:21:29 - mmengine - INFO - Epoch(train) [460][30/63] lr: 1.0000e-06 eta: 9:30:18 time: 1.9732 data_time: 0.1217 memory: 28971 loss_text: 0.1348 loss_kernel: 0.0631 loss: 0.1979 2022/08/27 07:21:44 - mmengine - INFO - Epoch(train) [460][35/63] lr: 1.0000e-06 eta: 9:30:18 time: 1.9692 data_time: 0.1720 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0641 loss: 0.2011 2022/08/27 07:21:49 - mmengine - INFO - Epoch(train) [460][40/63] lr: 1.0000e-06 eta: 9:29:34 time: 1.9540 data_time: 0.1594 memory: 28971 loss_text: 0.1546 loss_kernel: 0.0712 loss: 0.2258 2022/08/27 07:22:03 - mmengine - INFO - Epoch(train) [460][45/63] lr: 1.0000e-06 eta: 9:29:34 time: 1.8850 data_time: 0.0759 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0598 loss: 0.1889 2022/08/27 07:22:09 - mmengine - INFO - Epoch(train) [460][50/63] lr: 1.0000e-06 eta: 9:28:49 time: 1.9926 data_time: 0.1017 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0527 loss: 0.1644 2022/08/27 07:22:25 - mmengine - INFO - Epoch(train) [460][55/63] lr: 1.0000e-06 eta: 9:28:49 time: 2.1751 data_time: 0.0732 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0622 loss: 0.1962 2022/08/27 07:22:36 - mmengine - INFO - Epoch(train) [460][60/63] lr: 1.0000e-06 eta: 9:28:07 time: 2.7744 data_time: 0.1821 memory: 28971 loss_text: 0.1356 loss_kernel: 0.0627 loss: 0.1983 2022/08/27 07:22:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:22:49 - mmengine - INFO - Saving checkpoint at 460 epochs 2022/08/27 07:24:41 - mmengine - INFO - Epoch(train) [461][5/63] lr: 1.0000e-06 eta: 9:28:07 time: 12.3730 data_time: 9.4922 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0629 loss: 0.1988 2022/08/27 07:24:47 - mmengine - INFO - Epoch(train) [461][10/63] lr: 1.0000e-06 eta: 9:27:36 time: 11.1145 data_time: 9.5138 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0636 loss: 0.2001 2022/08/27 07:25:04 - mmengine - INFO - Epoch(train) [461][15/63] lr: 1.0000e-06 eta: 9:27:36 time: 2.2084 data_time: 0.0929 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0688 loss: 0.2150 2022/08/27 07:25:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:25:15 - mmengine - INFO - Epoch(train) [461][20/63] lr: 1.0000e-06 eta: 9:26:53 time: 2.7078 data_time: 0.1063 memory: 28971 loss_text: 0.1691 loss_kernel: 0.0783 loss: 0.2474 2022/08/27 07:25:23 - mmengine - INFO - Epoch(train) [461][25/63] lr: 1.0000e-06 eta: 9:26:53 time: 1.9576 data_time: 0.1205 memory: 28971 loss_text: 0.1535 loss_kernel: 0.0718 loss: 0.2253 2022/08/27 07:25:36 - mmengine - INFO - Epoch(train) [461][30/63] lr: 1.0000e-06 eta: 9:26:09 time: 2.1064 data_time: 0.0976 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0606 loss: 0.1866 2022/08/27 07:25:42 - mmengine - INFO - Epoch(train) [461][35/63] lr: 1.0000e-06 eta: 9:26:09 time: 1.9334 data_time: 0.1051 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0616 loss: 0.1912 2022/08/27 07:25:51 - mmengine - INFO - Epoch(train) [461][40/63] lr: 1.0000e-06 eta: 9:25:24 time: 1.5760 data_time: 0.0639 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0627 loss: 0.1955 2022/08/27 07:26:02 - mmengine - INFO - Epoch(train) [461][45/63] lr: 1.0000e-06 eta: 9:25:24 time: 2.0075 data_time: 0.0865 memory: 28971 loss_text: 0.1654 loss_kernel: 0.0761 loss: 0.2414 2022/08/27 07:26:17 - mmengine - INFO - Epoch(train) [461][50/63] lr: 1.0000e-06 eta: 9:24:41 time: 2.5101 data_time: 0.1170 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0736 loss: 0.2331 2022/08/27 07:26:23 - mmengine - INFO - Epoch(train) [461][55/63] lr: 1.0000e-06 eta: 9:24:41 time: 2.0453 data_time: 0.1396 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0586 loss: 0.1839 2022/08/27 07:26:39 - mmengine - INFO - Epoch(train) [461][60/63] lr: 1.0000e-06 eta: 9:23:58 time: 2.2521 data_time: 0.1428 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0603 loss: 0.1911 2022/08/27 07:26:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:28:34 - mmengine - INFO - Epoch(train) [462][5/63] lr: 1.0000e-06 eta: 9:23:58 time: 12.6779 data_time: 9.6270 memory: 28971 loss_text: 0.1707 loss_kernel: 0.0769 loss: 0.2477 2022/08/27 07:28:39 - mmengine - INFO - Epoch(train) [462][10/63] lr: 1.0000e-06 eta: 9:23:27 time: 11.5684 data_time: 9.5830 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0630 loss: 0.1977 2022/08/27 07:28:55 - mmengine - INFO - Epoch(train) [462][15/63] lr: 1.0000e-06 eta: 9:23:27 time: 2.1117 data_time: 0.0806 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0573 loss: 0.1759 2022/08/27 07:29:00 - mmengine - INFO - Epoch(train) [462][20/63] lr: 1.0000e-06 eta: 9:22:43 time: 2.0681 data_time: 0.1077 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0670 loss: 0.2090 2022/08/27 07:29:15 - mmengine - INFO - Epoch(train) [462][25/63] lr: 1.0000e-06 eta: 9:22:43 time: 2.0757 data_time: 0.1893 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0588 loss: 0.1820 2022/08/27 07:29:20 - mmengine - INFO - Epoch(train) [462][30/63] lr: 1.0000e-06 eta: 9:21:59 time: 1.9973 data_time: 0.1406 memory: 28971 loss_text: 0.1234 loss_kernel: 0.0599 loss: 0.1833 2022/08/27 07:29:34 - mmengine - INFO - Epoch(train) [462][35/63] lr: 1.0000e-06 eta: 9:21:59 time: 1.8615 data_time: 0.1116 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0613 loss: 0.1886 2022/08/27 07:29:38 - mmengine - INFO - Epoch(train) [462][40/63] lr: 1.0000e-06 eta: 9:21:14 time: 1.8601 data_time: 0.1140 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0619 loss: 0.1931 2022/08/27 07:29:52 - mmengine - INFO - Epoch(train) [462][45/63] lr: 1.0000e-06 eta: 9:21:14 time: 1.8085 data_time: 0.0900 memory: 28971 loss_text: 0.1706 loss_kernel: 0.0789 loss: 0.2495 2022/08/27 07:29:57 - mmengine - INFO - Epoch(train) [462][50/63] lr: 1.0000e-06 eta: 9:20:30 time: 1.9051 data_time: 0.1308 memory: 28971 loss_text: 0.1497 loss_kernel: 0.0697 loss: 0.2194 2022/08/27 07:30:09 - mmengine - INFO - Epoch(train) [462][55/63] lr: 1.0000e-06 eta: 9:20:30 time: 1.6275 data_time: 0.0692 memory: 28971 loss_text: 0.1473 loss_kernel: 0.0684 loss: 0.2157 2022/08/27 07:30:16 - mmengine - INFO - Epoch(train) [462][60/63] lr: 1.0000e-06 eta: 9:19:45 time: 1.8683 data_time: 0.2009 memory: 28971 loss_text: 0.1694 loss_kernel: 0.0787 loss: 0.2481 2022/08/27 07:30:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:32:06 - mmengine - INFO - Epoch(train) [463][5/63] lr: 1.0000e-06 eta: 9:19:45 time: 11.1007 data_time: 9.4393 memory: 28971 loss_text: 0.1820 loss_kernel: 0.0829 loss: 0.2649 2022/08/27 07:32:11 - mmengine - INFO - Epoch(train) [463][10/63] lr: 1.0000e-06 eta: 9:19:13 time: 11.1138 data_time: 9.5066 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0629 loss: 0.1966 2022/08/27 07:32:25 - mmengine - INFO - Epoch(train) [463][15/63] lr: 1.0000e-06 eta: 9:19:13 time: 1.9411 data_time: 0.0965 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0558 loss: 0.1722 2022/08/27 07:32:30 - mmengine - INFO - Epoch(train) [463][20/63] lr: 1.0000e-06 eta: 9:18:29 time: 1.9000 data_time: 0.0634 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0562 loss: 0.1757 2022/08/27 07:32:46 - mmengine - INFO - Epoch(train) [463][25/63] lr: 1.0000e-06 eta: 9:18:29 time: 2.0548 data_time: 0.1297 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0567 loss: 0.1779 2022/08/27 07:32:50 - mmengine - INFO - Epoch(train) [463][30/63] lr: 1.0000e-06 eta: 9:17:44 time: 2.0309 data_time: 0.1385 memory: 28971 loss_text: 0.1071 loss_kernel: 0.0507 loss: 0.1578 2022/08/27 07:33:08 - mmengine - INFO - Epoch(train) [463][35/63] lr: 1.0000e-06 eta: 9:17:44 time: 2.2577 data_time: 0.0837 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0577 loss: 0.1806 2022/08/27 07:33:13 - mmengine - INFO - Epoch(train) [463][40/63] lr: 1.0000e-06 eta: 9:17:01 time: 2.2634 data_time: 0.0735 memory: 28971 loss_text: 0.1362 loss_kernel: 0.0638 loss: 0.2000 2022/08/27 07:33:27 - mmengine - INFO - Epoch(train) [463][45/63] lr: 1.0000e-06 eta: 9:17:01 time: 1.8292 data_time: 0.0565 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0589 loss: 0.1825 2022/08/27 07:33:31 - mmengine - INFO - Epoch(train) [463][50/63] lr: 1.0000e-06 eta: 9:16:16 time: 1.8497 data_time: 0.0866 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0599 loss: 0.1867 2022/08/27 07:33:50 - mmengine - INFO - Epoch(train) [463][55/63] lr: 1.0000e-06 eta: 9:16:16 time: 2.3066 data_time: 0.1537 memory: 28971 loss_text: 0.1102 loss_kernel: 0.0521 loss: 0.1623 2022/08/27 07:34:03 - mmengine - INFO - Epoch(train) [463][60/63] lr: 1.0000e-06 eta: 9:15:35 time: 3.0577 data_time: 0.1633 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0621 loss: 0.1962 2022/08/27 07:34:09 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:35:55 - mmengine - INFO - Epoch(train) [464][5/63] lr: 1.0000e-06 eta: 9:15:35 time: 12.1911 data_time: 9.5597 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0672 loss: 0.2133 2022/08/27 07:36:01 - mmengine - INFO - Epoch(train) [464][10/63] lr: 1.0000e-06 eta: 9:15:03 time: 11.1558 data_time: 9.4809 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0659 loss: 0.2088 2022/08/27 07:36:16 - mmengine - INFO - Epoch(train) [464][15/63] lr: 1.0000e-06 eta: 9:15:03 time: 2.0346 data_time: 0.1151 memory: 28971 loss_text: 0.1171 loss_kernel: 0.0555 loss: 0.1726 2022/08/27 07:36:20 - mmengine - INFO - Epoch(train) [464][20/63] lr: 1.0000e-06 eta: 9:14:19 time: 1.9483 data_time: 0.1244 memory: 28971 loss_text: 0.1065 loss_kernel: 0.0514 loss: 0.1579 2022/08/27 07:36:35 - mmengine - INFO - Epoch(train) [464][25/63] lr: 1.0000e-06 eta: 9:14:19 time: 1.9803 data_time: 0.1272 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0593 loss: 0.1836 2022/08/27 07:36:40 - mmengine - INFO - Epoch(train) [464][30/63] lr: 1.0000e-06 eta: 9:13:35 time: 1.9261 data_time: 0.0947 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0605 loss: 0.1881 2022/08/27 07:36:55 - mmengine - INFO - Epoch(train) [464][35/63] lr: 1.0000e-06 eta: 9:13:35 time: 2.0123 data_time: 0.1216 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0535 loss: 0.1663 2022/08/27 07:37:00 - mmengine - INFO - Epoch(train) [464][40/63] lr: 1.0000e-06 eta: 9:12:51 time: 2.0218 data_time: 0.1261 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0635 loss: 0.1998 2022/08/27 07:37:13 - mmengine - INFO - Epoch(train) [464][45/63] lr: 1.0000e-06 eta: 9:12:51 time: 1.8002 data_time: 0.0612 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0621 loss: 0.1932 2022/08/27 07:37:18 - mmengine - INFO - Epoch(train) [464][50/63] lr: 1.0000e-06 eta: 9:12:06 time: 1.8409 data_time: 0.0888 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0617 loss: 0.1941 2022/08/27 07:37:36 - mmengine - INFO - Epoch(train) [464][55/63] lr: 1.0000e-06 eta: 9:12:06 time: 2.2535 data_time: 0.1337 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0716 loss: 0.2281 2022/08/27 07:37:41 - mmengine - INFO - Epoch(train) [464][60/63] lr: 1.0000e-06 eta: 9:11:23 time: 2.2431 data_time: 0.1312 memory: 28971 loss_text: 0.1616 loss_kernel: 0.0741 loss: 0.2357 2022/08/27 07:37:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:39:43 - mmengine - INFO - Epoch(train) [465][5/63] lr: 1.0000e-06 eta: 9:11:23 time: 12.2946 data_time: 9.0717 memory: 28971 loss_text: 0.1542 loss_kernel: 0.0717 loss: 0.2259 2022/08/27 07:39:48 - mmengine - INFO - Epoch(train) [465][10/63] lr: 1.0000e-06 eta: 9:10:50 time: 11.0276 data_time: 9.1614 memory: 28971 loss_text: 0.1672 loss_kernel: 0.0759 loss: 0.2431 2022/08/27 07:40:02 - mmengine - INFO - Epoch(train) [465][15/63] lr: 1.0000e-06 eta: 9:10:50 time: 1.9240 data_time: 0.1393 memory: 28971 loss_text: 0.1624 loss_kernel: 0.0732 loss: 0.2356 2022/08/27 07:40:17 - mmengine - INFO - Epoch(train) [465][20/63] lr: 1.0000e-06 eta: 9:10:09 time: 2.8335 data_time: 0.1645 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0648 loss: 0.2049 2022/08/27 07:40:24 - mmengine - INFO - Epoch(train) [465][25/63] lr: 1.0000e-06 eta: 9:10:09 time: 2.2172 data_time: 0.2192 memory: 28971 loss_text: 0.1052 loss_kernel: 0.0506 loss: 0.1558 2022/08/27 07:40:38 - mmengine - INFO - Epoch(train) [465][30/63] lr: 1.0000e-06 eta: 9:09:25 time: 2.1052 data_time: 0.1032 memory: 28971 loss_text: 0.1119 loss_kernel: 0.0538 loss: 0.1657 2022/08/27 07:40:42 - mmengine - INFO - Epoch(train) [465][35/63] lr: 1.0000e-06 eta: 9:09:25 time: 1.8237 data_time: 0.0913 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0633 loss: 0.1977 2022/08/27 07:40:54 - mmengine - INFO - Epoch(train) [465][40/63] lr: 1.0000e-06 eta: 9:08:40 time: 1.6302 data_time: 0.0784 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0591 loss: 0.1850 2022/08/27 07:41:01 - mmengine - INFO - Epoch(train) [465][45/63] lr: 1.0000e-06 eta: 9:08:40 time: 1.8359 data_time: 0.0964 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0539 loss: 0.1698 2022/08/27 07:41:05 - mmengine - INFO - Epoch(train) [465][50/63] lr: 1.0000e-06 eta: 9:07:53 time: 1.1642 data_time: 0.1197 memory: 28971 loss_text: 0.1197 loss_kernel: 0.0559 loss: 0.1757 2022/08/27 07:41:21 - mmengine - INFO - Epoch(train) [465][55/63] lr: 1.0000e-06 eta: 9:07:53 time: 2.0333 data_time: 0.1105 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0672 loss: 0.2115 2022/08/27 07:41:35 - mmengine - INFO - Epoch(train) [465][60/63] lr: 1.0000e-06 eta: 9:07:12 time: 2.8476 data_time: 0.1294 memory: 28971 loss_text: 0.1551 loss_kernel: 0.0716 loss: 0.2267 2022/08/27 07:41:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:43:25 - mmengine - INFO - Epoch(train) [466][5/63] lr: 1.0000e-06 eta: 9:07:12 time: 11.9445 data_time: 9.1917 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0599 loss: 0.1849 2022/08/27 07:43:31 - mmengine - INFO - Epoch(train) [466][10/63] lr: 1.0000e-06 eta: 9:06:38 time: 10.7022 data_time: 9.0709 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0564 loss: 0.1723 2022/08/27 07:43:48 - mmengine - INFO - Epoch(train) [466][15/63] lr: 1.0000e-06 eta: 9:06:38 time: 2.2584 data_time: 0.0974 memory: 28971 loss_text: 0.1106 loss_kernel: 0.0529 loss: 0.1636 2022/08/27 07:43:53 - mmengine - INFO - Epoch(train) [466][20/63] lr: 1.0000e-06 eta: 9:05:55 time: 2.2558 data_time: 0.1319 memory: 28971 loss_text: 0.1094 loss_kernel: 0.0518 loss: 0.1613 2022/08/27 07:43:59 - mmengine - INFO - Epoch(train) [466][25/63] lr: 1.0000e-06 eta: 9:05:55 time: 1.1338 data_time: 0.0829 memory: 28971 loss_text: 0.1025 loss_kernel: 0.0495 loss: 0.1520 2022/08/27 07:44:04 - mmengine - INFO - Epoch(train) [466][30/63] lr: 1.0000e-06 eta: 9:05:08 time: 1.0335 data_time: 0.0300 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0612 loss: 0.1906 2022/08/27 07:44:11 - mmengine - INFO - Epoch(train) [466][35/63] lr: 1.0000e-06 eta: 9:05:08 time: 1.1715 data_time: 0.0360 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0660 loss: 0.2096 2022/08/27 07:44:16 - mmengine - INFO - Epoch(train) [466][40/63] lr: 1.0000e-06 eta: 9:04:22 time: 1.2078 data_time: 0.0336 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0577 loss: 0.1829 2022/08/27 07:44:22 - mmengine - INFO - Epoch(train) [466][45/63] lr: 1.0000e-06 eta: 9:04:22 time: 1.1575 data_time: 0.0524 memory: 28971 loss_text: 0.1196 loss_kernel: 0.0562 loss: 0.1758 2022/08/27 07:44:27 - mmengine - INFO - Epoch(train) [466][50/63] lr: 1.0000e-06 eta: 9:03:35 time: 1.1060 data_time: 0.0535 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0630 loss: 0.1981 2022/08/27 07:44:33 - mmengine - INFO - Epoch(train) [466][55/63] lr: 1.0000e-06 eta: 9:03:35 time: 1.0863 data_time: 0.0295 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0626 loss: 0.1974 2022/08/27 07:44:39 - mmengine - INFO - Epoch(train) [466][60/63] lr: 1.0000e-06 eta: 9:02:49 time: 1.2214 data_time: 0.0533 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0646 loss: 0.2029 2022/08/27 07:44:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:46:18 - mmengine - INFO - Epoch(train) [467][5/63] lr: 1.0000e-06 eta: 9:02:49 time: 10.0427 data_time: 8.5155 memory: 28971 loss_text: 0.1410 loss_kernel: 0.0660 loss: 0.2069 2022/08/27 07:46:22 - mmengine - INFO - Epoch(train) [467][10/63] lr: 1.0000e-06 eta: 9:02:12 time: 9.6797 data_time: 8.5173 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0675 loss: 0.2117 2022/08/27 07:46:27 - mmengine - INFO - Epoch(train) [467][15/63] lr: 1.0000e-06 eta: 9:02:12 time: 0.9461 data_time: 0.0347 memory: 28971 loss_text: 0.1251 loss_kernel: 0.0595 loss: 0.1846 2022/08/27 07:46:34 - mmengine - INFO - Epoch(train) [467][20/63] lr: 1.0000e-06 eta: 9:01:26 time: 1.1992 data_time: 0.0398 memory: 28971 loss_text: 0.1114 loss_kernel: 0.0532 loss: 0.1646 2022/08/27 07:46:39 - mmengine - INFO - Epoch(train) [467][25/63] lr: 1.0000e-06 eta: 9:01:26 time: 1.2380 data_time: 0.0539 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0595 loss: 0.1868 2022/08/27 07:46:44 - mmengine - INFO - Epoch(train) [467][30/63] lr: 1.0000e-06 eta: 9:00:40 time: 1.0190 data_time: 0.0358 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0629 loss: 0.1982 2022/08/27 07:46:51 - mmengine - INFO - Epoch(train) [467][35/63] lr: 1.0000e-06 eta: 9:00:40 time: 1.1235 data_time: 0.0624 memory: 28971 loss_text: 0.1394 loss_kernel: 0.0640 loss: 0.2034 2022/08/27 07:46:55 - mmengine - INFO - Epoch(train) [467][40/63] lr: 1.0000e-06 eta: 8:59:53 time: 1.0674 data_time: 0.0569 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0598 loss: 0.1893 2022/08/27 07:47:01 - mmengine - INFO - Epoch(train) [467][45/63] lr: 1.0000e-06 eta: 8:59:53 time: 1.0307 data_time: 0.0310 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0592 loss: 0.1860 2022/08/27 07:47:06 - mmengine - INFO - Epoch(train) [467][50/63] lr: 1.0000e-06 eta: 8:59:07 time: 1.0707 data_time: 0.0585 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0619 loss: 0.1934 2022/08/27 07:47:11 - mmengine - INFO - Epoch(train) [467][55/63] lr: 1.0000e-06 eta: 8:59:07 time: 1.0516 data_time: 0.0546 memory: 28971 loss_text: 0.1094 loss_kernel: 0.0525 loss: 0.1619 2022/08/27 07:47:18 - mmengine - INFO - Epoch(train) [467][60/63] lr: 1.0000e-06 eta: 8:58:20 time: 1.2150 data_time: 0.0538 memory: 28971 loss_text: 0.1055 loss_kernel: 0.0502 loss: 0.1557 2022/08/27 07:47:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:49:01 - mmengine - INFO - Epoch(train) [468][5/63] lr: 1.0000e-06 eta: 8:58:20 time: 10.4750 data_time: 8.9029 memory: 28971 loss_text: 0.1079 loss_kernel: 0.0520 loss: 0.1599 2022/08/27 07:49:06 - mmengine - INFO - Epoch(train) [468][10/63] lr: 1.0000e-06 eta: 8:57:46 time: 10.5964 data_time: 8.9288 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0567 loss: 0.1767 2022/08/27 07:49:22 - mmengine - INFO - Epoch(train) [468][15/63] lr: 1.0000e-06 eta: 8:57:46 time: 2.1213 data_time: 0.0820 memory: 28971 loss_text: 0.1513 loss_kernel: 0.0708 loss: 0.2222 2022/08/27 07:49:35 - mmengine - INFO - Epoch(train) [468][20/63] lr: 1.0000e-06 eta: 8:57:04 time: 2.6854 data_time: 0.1081 memory: 28971 loss_text: 0.1519 loss_kernel: 0.0714 loss: 0.2233 2022/08/27 07:49:45 - mmengine - INFO - Epoch(train) [468][25/63] lr: 1.0000e-06 eta: 8:57:04 time: 2.2708 data_time: 0.3755 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0678 loss: 0.2131 2022/08/27 07:49:56 - mmengine - INFO - Epoch(train) [468][30/63] lr: 1.0000e-06 eta: 8:56:21 time: 2.2330 data_time: 0.3042 memory: 28971 loss_text: 0.1428 loss_kernel: 0.0661 loss: 0.2089 2022/08/27 07:50:06 - mmengine - INFO - Epoch(train) [468][35/63] lr: 1.0000e-06 eta: 8:56:21 time: 2.1132 data_time: 0.1408 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0566 loss: 0.1778 2022/08/27 07:50:22 - mmengine - INFO - Epoch(train) [468][40/63] lr: 1.0000e-06 eta: 8:55:39 time: 2.6043 data_time: 0.1450 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0610 loss: 0.1929 2022/08/27 07:50:26 - mmengine - INFO - Epoch(train) [468][45/63] lr: 1.0000e-06 eta: 8:55:39 time: 2.0557 data_time: 0.0750 memory: 28971 loss_text: 0.1522 loss_kernel: 0.0694 loss: 0.2216 2022/08/27 07:50:36 - mmengine - INFO - Epoch(train) [468][50/63] lr: 1.0000e-06 eta: 8:54:54 time: 1.4745 data_time: 0.0770 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0642 loss: 0.2012 2022/08/27 07:50:51 - mmengine - INFO - Epoch(train) [468][55/63] lr: 1.0000e-06 eta: 8:54:54 time: 2.4227 data_time: 0.0508 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0566 loss: 0.1743 2022/08/27 07:51:02 - mmengine - INFO - Epoch(train) [468][60/63] lr: 1.0000e-06 eta: 8:54:12 time: 2.5680 data_time: 0.0978 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0590 loss: 0.1862 2022/08/27 07:51:10 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:52:54 - mmengine - INFO - Epoch(train) [469][5/63] lr: 1.0000e-06 eta: 8:54:12 time: 11.9121 data_time: 9.1314 memory: 28971 loss_text: 0.1065 loss_kernel: 0.0489 loss: 0.1554 2022/08/27 07:52:59 - mmengine - INFO - Epoch(train) [469][10/63] lr: 1.0000e-06 eta: 8:53:38 time: 10.9147 data_time: 9.1016 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0620 loss: 0.1961 2022/08/27 07:53:14 - mmengine - INFO - Epoch(train) [469][15/63] lr: 1.0000e-06 eta: 8:53:38 time: 2.0289 data_time: 0.0817 memory: 28971 loss_text: 0.1654 loss_kernel: 0.0768 loss: 0.2422 2022/08/27 07:53:19 - mmengine - INFO - Epoch(train) [469][20/63] lr: 1.0000e-06 eta: 8:52:54 time: 1.9530 data_time: 0.0775 memory: 28971 loss_text: 0.1693 loss_kernel: 0.0788 loss: 0.2481 2022/08/27 07:53:36 - mmengine - INFO - Epoch(train) [469][25/63] lr: 1.0000e-06 eta: 8:52:54 time: 2.1062 data_time: 0.1114 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0615 loss: 0.1910 2022/08/27 07:53:40 - mmengine - INFO - Epoch(train) [469][30/63] lr: 1.0000e-06 eta: 8:52:11 time: 2.1377 data_time: 0.1111 memory: 28971 loss_text: 0.1137 loss_kernel: 0.0543 loss: 0.1680 2022/08/27 07:53:55 - mmengine - INFO - Epoch(train) [469][35/63] lr: 1.0000e-06 eta: 8:52:11 time: 1.9814 data_time: 0.1218 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0580 loss: 0.1821 2022/08/27 07:54:00 - mmengine - INFO - Epoch(train) [469][40/63] lr: 1.0000e-06 eta: 8:51:27 time: 1.9290 data_time: 0.1046 memory: 28971 loss_text: 0.1102 loss_kernel: 0.0524 loss: 0.1626 2022/08/27 07:54:15 - mmengine - INFO - Epoch(train) [469][45/63] lr: 1.0000e-06 eta: 8:51:27 time: 2.0102 data_time: 0.0891 memory: 28971 loss_text: 0.0995 loss_kernel: 0.0482 loss: 0.1477 2022/08/27 07:54:20 - mmengine - INFO - Epoch(train) [469][50/63] lr: 1.0000e-06 eta: 8:50:44 time: 2.0582 data_time: 0.1166 memory: 28971 loss_text: 0.0998 loss_kernel: 0.0481 loss: 0.1480 2022/08/27 07:54:36 - mmengine - INFO - Epoch(train) [469][55/63] lr: 1.0000e-06 eta: 8:50:44 time: 2.0677 data_time: 0.1374 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0563 loss: 0.1754 2022/08/27 07:54:47 - mmengine - INFO - Epoch(train) [469][60/63] lr: 1.0000e-06 eta: 8:50:02 time: 2.6586 data_time: 0.1459 memory: 28971 loss_text: 0.1581 loss_kernel: 0.0728 loss: 0.2308 2022/08/27 07:54:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 07:56:36 - mmengine - INFO - Epoch(train) [470][5/63] lr: 1.0000e-06 eta: 8:50:02 time: 11.6105 data_time: 8.9343 memory: 28971 loss_text: 0.1463 loss_kernel: 0.0700 loss: 0.2163 2022/08/27 07:56:41 - mmengine - INFO - Epoch(train) [470][10/63] lr: 1.0000e-06 eta: 8:49:28 time: 10.8673 data_time: 8.9537 memory: 28971 loss_text: 0.1025 loss_kernel: 0.0507 loss: 0.1531 2022/08/27 07:56:58 - mmengine - INFO - Epoch(train) [470][15/63] lr: 1.0000e-06 eta: 8:49:28 time: 2.2562 data_time: 0.1112 memory: 28971 loss_text: 0.0784 loss_kernel: 0.0394 loss: 0.1177 2022/08/27 07:57:03 - mmengine - INFO - Epoch(train) [470][20/63] lr: 1.0000e-06 eta: 8:48:45 time: 2.1813 data_time: 0.1140 memory: 28971 loss_text: 0.0893 loss_kernel: 0.0439 loss: 0.1332 2022/08/27 07:57:18 - mmengine - INFO - Epoch(train) [470][25/63] lr: 1.0000e-06 eta: 8:48:45 time: 1.9736 data_time: 0.1148 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0609 loss: 0.1911 2022/08/27 07:57:23 - mmengine - INFO - Epoch(train) [470][30/63] lr: 1.0000e-06 eta: 8:48:01 time: 1.9517 data_time: 0.1058 memory: 28971 loss_text: 0.1487 loss_kernel: 0.0688 loss: 0.2176 2022/08/27 07:57:37 - mmengine - INFO - Epoch(train) [470][35/63] lr: 1.0000e-06 eta: 8:48:01 time: 1.9210 data_time: 0.1064 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0628 loss: 0.1968 2022/08/27 07:57:43 - mmengine - INFO - Epoch(train) [470][40/63] lr: 1.0000e-06 eta: 8:47:17 time: 1.9828 data_time: 0.1120 memory: 28971 loss_text: 0.1180 loss_kernel: 0.0558 loss: 0.1738 2022/08/27 07:57:56 - mmengine - INFO - Epoch(train) [470][45/63] lr: 1.0000e-06 eta: 8:47:17 time: 1.9071 data_time: 0.1306 memory: 28971 loss_text: 0.1003 loss_kernel: 0.0482 loss: 0.1485 2022/08/27 07:58:08 - mmengine - INFO - Epoch(train) [470][50/63] lr: 1.0000e-06 eta: 8:46:35 time: 2.5316 data_time: 0.1291 memory: 28971 loss_text: 0.1126 loss_kernel: 0.0538 loss: 0.1664 2022/08/27 07:58:17 - mmengine - INFO - Epoch(train) [470][55/63] lr: 1.0000e-06 eta: 8:46:35 time: 2.0468 data_time: 0.2610 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0621 loss: 0.1938 2022/08/27 07:58:21 - mmengine - INFO - Epoch(train) [470][60/63] lr: 1.0000e-06 eta: 8:45:50 time: 1.3497 data_time: 0.2623 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0652 loss: 0.2063 2022/08/27 07:58:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:00:21 - mmengine - INFO - Epoch(train) [471][5/63] lr: 1.0000e-06 eta: 8:45:50 time: 12.1688 data_time: 9.2616 memory: 28971 loss_text: 0.1106 loss_kernel: 0.0521 loss: 0.1627 2022/08/27 08:00:27 - mmengine - INFO - Epoch(train) [471][10/63] lr: 1.0000e-06 eta: 8:45:16 time: 10.8043 data_time: 9.1812 memory: 28971 loss_text: 0.1391 loss_kernel: 0.0645 loss: 0.2036 2022/08/27 08:00:45 - mmengine - INFO - Epoch(train) [471][15/63] lr: 1.0000e-06 eta: 8:45:16 time: 2.3462 data_time: 0.0519 memory: 28971 loss_text: 0.1110 loss_kernel: 0.0531 loss: 0.1641 2022/08/27 08:00:50 - mmengine - INFO - Epoch(train) [471][20/63] lr: 1.0000e-06 eta: 8:44:33 time: 2.3038 data_time: 0.0803 memory: 28971 loss_text: 0.0922 loss_kernel: 0.0446 loss: 0.1368 2022/08/27 08:01:05 - mmengine - INFO - Epoch(train) [471][25/63] lr: 1.0000e-06 eta: 8:44:33 time: 2.0250 data_time: 0.1160 memory: 28971 loss_text: 0.1288 loss_kernel: 0.0601 loss: 0.1889 2022/08/27 08:01:10 - mmengine - INFO - Epoch(train) [471][30/63] lr: 1.0000e-06 eta: 8:43:49 time: 1.9890 data_time: 0.1035 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0696 loss: 0.2194 2022/08/27 08:01:24 - mmengine - INFO - Epoch(train) [471][35/63] lr: 1.0000e-06 eta: 8:43:49 time: 1.8587 data_time: 0.1378 memory: 28971 loss_text: 0.1442 loss_kernel: 0.0672 loss: 0.2114 2022/08/27 08:01:41 - mmengine - INFO - Epoch(train) [471][40/63] lr: 1.0000e-06 eta: 8:43:09 time: 3.1265 data_time: 0.1691 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0567 loss: 0.1766 2022/08/27 08:01:46 - mmengine - INFO - Epoch(train) [471][45/63] lr: 1.0000e-06 eta: 8:43:09 time: 2.2251 data_time: 0.1269 memory: 28971 loss_text: 0.1049 loss_kernel: 0.0505 loss: 0.1555 2022/08/27 08:02:02 - mmengine - INFO - Epoch(train) [471][50/63] lr: 1.0000e-06 eta: 8:42:25 time: 2.1142 data_time: 0.1496 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0580 loss: 0.1788 2022/08/27 08:02:15 - mmengine - INFO - Epoch(train) [471][55/63] lr: 1.0000e-06 eta: 8:42:25 time: 2.8812 data_time: 0.1787 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0678 loss: 0.2132 2022/08/27 08:02:25 - mmengine - INFO - Epoch(train) [471][60/63] lr: 1.0000e-06 eta: 8:41:43 time: 2.3041 data_time: 0.2529 memory: 28971 loss_text: 0.1355 loss_kernel: 0.0632 loss: 0.1987 2022/08/27 08:02:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:04:15 - mmengine - INFO - Epoch(train) [472][5/63] lr: 1.0000e-06 eta: 8:41:43 time: 11.1231 data_time: 9.0719 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0649 loss: 0.2008 2022/08/27 08:04:21 - mmengine - INFO - Epoch(train) [472][10/63] lr: 1.0000e-06 eta: 8:41:10 time: 11.2340 data_time: 9.1163 memory: 28971 loss_text: 0.1254 loss_kernel: 0.0612 loss: 0.1866 2022/08/27 08:04:38 - mmengine - INFO - Epoch(train) [472][15/63] lr: 1.0000e-06 eta: 8:41:10 time: 2.2812 data_time: 0.0726 memory: 28971 loss_text: 0.1029 loss_kernel: 0.0505 loss: 0.1534 2022/08/27 08:04:43 - mmengine - INFO - Epoch(train) [472][20/63] lr: 1.0000e-06 eta: 8:40:26 time: 2.2019 data_time: 0.0991 memory: 28971 loss_text: 0.0988 loss_kernel: 0.0485 loss: 0.1474 2022/08/27 08:04:59 - mmengine - INFO - Epoch(train) [472][25/63] lr: 1.0000e-06 eta: 8:40:26 time: 2.0930 data_time: 0.1533 memory: 28971 loss_text: 0.1089 loss_kernel: 0.0524 loss: 0.1613 2022/08/27 08:05:16 - mmengine - INFO - Epoch(train) [472][30/63] lr: 1.0000e-06 eta: 8:39:46 time: 3.2518 data_time: 0.1089 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0582 loss: 0.1810 2022/08/27 08:05:21 - mmengine - INFO - Epoch(train) [472][35/63] lr: 1.0000e-06 eta: 8:39:46 time: 2.2369 data_time: 0.1115 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0627 loss: 0.1946 2022/08/27 08:05:38 - mmengine - INFO - Epoch(train) [472][40/63] lr: 1.0000e-06 eta: 8:39:03 time: 2.2408 data_time: 0.1097 memory: 28971 loss_text: 0.1120 loss_kernel: 0.0538 loss: 0.1658 2022/08/27 08:05:53 - mmengine - INFO - Epoch(train) [472][45/63] lr: 1.0000e-06 eta: 8:39:03 time: 3.1349 data_time: 0.1142 memory: 28971 loss_text: 0.1121 loss_kernel: 0.0537 loss: 0.1658 2022/08/27 08:06:06 - mmengine - INFO - Epoch(train) [472][50/63] lr: 1.0000e-06 eta: 8:38:22 time: 2.8184 data_time: 0.1437 memory: 28971 loss_text: 0.1119 loss_kernel: 0.0533 loss: 0.1652 2022/08/27 08:06:16 - mmengine - INFO - Epoch(train) [472][55/63] lr: 1.0000e-06 eta: 8:38:22 time: 2.3524 data_time: 0.1562 memory: 28971 loss_text: 0.1033 loss_kernel: 0.0499 loss: 0.1532 2022/08/27 08:06:37 - mmengine - INFO - Epoch(train) [472][60/63] lr: 1.0000e-06 eta: 8:37:41 time: 3.0130 data_time: 0.1134 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0611 loss: 0.1932 2022/08/27 08:06:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:08:25 - mmengine - INFO - Epoch(train) [473][5/63] lr: 1.0000e-06 eta: 8:37:41 time: 10.9647 data_time: 9.3277 memory: 28971 loss_text: 0.1144 loss_kernel: 0.0525 loss: 0.1669 2022/08/27 08:08:30 - mmengine - INFO - Epoch(train) [473][10/63] lr: 1.0000e-06 eta: 8:37:07 time: 10.8840 data_time: 9.2636 memory: 28971 loss_text: 0.0900 loss_kernel: 0.0436 loss: 0.1336 2022/08/27 08:08:44 - mmengine - INFO - Epoch(train) [473][15/63] lr: 1.0000e-06 eta: 8:37:07 time: 1.9401 data_time: 0.0970 memory: 28971 loss_text: 0.0918 loss_kernel: 0.0455 loss: 0.1373 2022/08/27 08:08:49 - mmengine - INFO - Epoch(train) [473][20/63] lr: 1.0000e-06 eta: 8:36:23 time: 1.9208 data_time: 0.0919 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0543 loss: 0.1702 2022/08/27 08:09:07 - mmengine - INFO - Epoch(train) [473][25/63] lr: 1.0000e-06 eta: 8:36:23 time: 2.2245 data_time: 0.1165 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0652 loss: 0.2075 2022/08/27 08:09:11 - mmengine - INFO - Epoch(train) [473][30/63] lr: 1.0000e-06 eta: 8:35:40 time: 2.1857 data_time: 0.1046 memory: 28971 loss_text: 0.1586 loss_kernel: 0.0733 loss: 0.2319 2022/08/27 08:09:27 - mmengine - INFO - Epoch(train) [473][35/63] lr: 1.0000e-06 eta: 8:35:40 time: 2.0681 data_time: 0.1369 memory: 28971 loss_text: 0.1541 loss_kernel: 0.0721 loss: 0.2262 2022/08/27 08:09:32 - mmengine - INFO - Epoch(train) [473][40/63] lr: 1.0000e-06 eta: 8:34:57 time: 2.0662 data_time: 0.1376 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0512 loss: 0.1571 2022/08/27 08:09:39 - mmengine - INFO - Epoch(train) [473][45/63] lr: 1.0000e-06 eta: 8:34:57 time: 1.1272 data_time: 0.0617 memory: 28971 loss_text: 0.0977 loss_kernel: 0.0470 loss: 0.1448 2022/08/27 08:09:49 - mmengine - INFO - Epoch(train) [473][50/63] lr: 1.0000e-06 eta: 8:34:13 time: 1.6951 data_time: 0.1191 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0585 loss: 0.1835 2022/08/27 08:09:56 - mmengine - INFO - Epoch(train) [473][55/63] lr: 1.0000e-06 eta: 8:34:13 time: 1.7801 data_time: 0.1150 memory: 28971 loss_text: 0.1474 loss_kernel: 0.0678 loss: 0.2152 2022/08/27 08:10:11 - mmengine - INFO - Epoch(train) [473][60/63] lr: 1.0000e-06 eta: 8:33:30 time: 2.2658 data_time: 0.1108 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0691 loss: 0.2163 2022/08/27 08:10:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:12:00 - mmengine - INFO - Epoch(train) [474][5/63] lr: 1.0000e-06 eta: 8:33:30 time: 11.0195 data_time: 9.3049 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0585 loss: 0.1817 2022/08/27 08:12:06 - mmengine - INFO - Epoch(train) [474][10/63] lr: 1.0000e-06 eta: 8:32:56 time: 11.0098 data_time: 9.3433 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0593 loss: 0.1833 2022/08/27 08:12:23 - mmengine - INFO - Epoch(train) [474][15/63] lr: 1.0000e-06 eta: 8:32:56 time: 2.2178 data_time: 0.0992 memory: 28971 loss_text: 0.1209 loss_kernel: 0.0579 loss: 0.1787 2022/08/27 08:12:28 - mmengine - INFO - Epoch(train) [474][20/63] lr: 1.0000e-06 eta: 8:32:13 time: 2.1854 data_time: 0.1210 memory: 28971 loss_text: 0.1303 loss_kernel: 0.0614 loss: 0.1917 2022/08/27 08:12:43 - mmengine - INFO - Epoch(train) [474][25/63] lr: 1.0000e-06 eta: 8:32:13 time: 1.9963 data_time: 0.1467 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0651 loss: 0.2032 2022/08/27 08:12:55 - mmengine - INFO - Epoch(train) [474][30/63] lr: 1.0000e-06 eta: 8:31:31 time: 2.6765 data_time: 0.0941 memory: 28971 loss_text: 0.1531 loss_kernel: 0.0709 loss: 0.2240 2022/08/27 08:13:02 - mmengine - INFO - Epoch(train) [474][35/63] lr: 1.0000e-06 eta: 8:31:31 time: 1.9458 data_time: 0.1734 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0657 loss: 0.2075 2022/08/27 08:13:07 - mmengine - INFO - Epoch(train) [474][40/63] lr: 1.0000e-06 eta: 8:30:46 time: 1.2155 data_time: 0.1533 memory: 28971 loss_text: 0.1182 loss_kernel: 0.0560 loss: 0.1742 2022/08/27 08:13:20 - mmengine - INFO - Epoch(train) [474][45/63] lr: 1.0000e-06 eta: 8:30:46 time: 1.7923 data_time: 0.1088 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0583 loss: 0.1816 2022/08/27 08:13:25 - mmengine - INFO - Epoch(train) [474][50/63] lr: 1.0000e-06 eta: 8:30:02 time: 1.8101 data_time: 0.1543 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0613 loss: 0.1917 2022/08/27 08:13:41 - mmengine - INFO - Epoch(train) [474][55/63] lr: 1.0000e-06 eta: 8:30:02 time: 2.0650 data_time: 0.0569 memory: 28971 loss_text: 0.1077 loss_kernel: 0.0512 loss: 0.1588 2022/08/27 08:13:59 - mmengine - INFO - Epoch(train) [474][60/63] lr: 1.0000e-06 eta: 8:29:22 time: 3.3392 data_time: 0.1246 memory: 28971 loss_text: 0.1024 loss_kernel: 0.0481 loss: 0.1505 2022/08/27 08:14:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:15:50 - mmengine - INFO - Epoch(train) [475][5/63] lr: 1.0000e-06 eta: 8:29:22 time: 12.4624 data_time: 9.3785 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0550 loss: 0.1732 2022/08/27 08:15:55 - mmengine - INFO - Epoch(train) [475][10/63] lr: 1.0000e-06 eta: 8:28:49 time: 11.2175 data_time: 9.3710 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0635 loss: 0.1988 2022/08/27 08:16:10 - mmengine - INFO - Epoch(train) [475][15/63] lr: 1.0000e-06 eta: 8:28:49 time: 1.9982 data_time: 0.0885 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0570 loss: 0.1761 2022/08/27 08:16:15 - mmengine - INFO - Epoch(train) [475][20/63] lr: 1.0000e-06 eta: 8:28:05 time: 1.9694 data_time: 0.1053 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0541 loss: 0.1674 2022/08/27 08:16:30 - mmengine - INFO - Epoch(train) [475][25/63] lr: 1.0000e-06 eta: 8:28:05 time: 2.0354 data_time: 0.1464 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0570 loss: 0.1770 2022/08/27 08:16:35 - mmengine - INFO - Epoch(train) [475][30/63] lr: 1.0000e-06 eta: 8:27:22 time: 2.0019 data_time: 0.1136 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0573 loss: 0.1773 2022/08/27 08:16:50 - mmengine - INFO - Epoch(train) [475][35/63] lr: 1.0000e-06 eta: 8:27:22 time: 2.0045 data_time: 0.0793 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0593 loss: 0.1853 2022/08/27 08:16:55 - mmengine - INFO - Epoch(train) [475][40/63] lr: 1.0000e-06 eta: 8:26:39 time: 2.0656 data_time: 0.0902 memory: 28971 loss_text: 0.1332 loss_kernel: 0.0629 loss: 0.1960 2022/08/27 08:17:12 - mmengine - INFO - Epoch(train) [475][45/63] lr: 1.0000e-06 eta: 8:26:39 time: 2.2141 data_time: 0.0970 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0613 loss: 0.1906 2022/08/27 08:17:22 - mmengine - INFO - Epoch(train) [475][50/63] lr: 1.0000e-06 eta: 8:25:57 time: 2.6160 data_time: 0.1215 memory: 28971 loss_text: 0.1167 loss_kernel: 0.0555 loss: 0.1722 2022/08/27 08:17:34 - mmengine - INFO - Epoch(train) [475][55/63] lr: 1.0000e-06 eta: 8:25:57 time: 2.1710 data_time: 0.1530 memory: 28971 loss_text: 0.0988 loss_kernel: 0.0484 loss: 0.1472 2022/08/27 08:17:56 - mmengine - INFO - Epoch(train) [475][60/63] lr: 1.0000e-06 eta: 8:25:17 time: 3.3930 data_time: 0.1942 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0540 loss: 0.1657 2022/08/27 08:18:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:19:45 - mmengine - INFO - Epoch(train) [476][5/63] lr: 1.0000e-06 eta: 8:25:17 time: 11.5174 data_time: 9.5098 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0692 loss: 0.2183 2022/08/27 08:19:51 - mmengine - INFO - Epoch(train) [476][10/63] lr: 1.0000e-06 eta: 8:24:43 time: 11.1112 data_time: 9.4191 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0660 loss: 0.2106 2022/08/27 08:20:04 - mmengine - INFO - Epoch(train) [476][15/63] lr: 1.0000e-06 eta: 8:24:43 time: 1.8633 data_time: 0.1253 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0540 loss: 0.1705 2022/08/27 08:20:09 - mmengine - INFO - Epoch(train) [476][20/63] lr: 1.0000e-06 eta: 8:23:59 time: 1.7646 data_time: 0.1167 memory: 28971 loss_text: 0.1020 loss_kernel: 0.0489 loss: 0.1509 2022/08/27 08:20:21 - mmengine - INFO - Epoch(train) [476][25/63] lr: 1.0000e-06 eta: 8:23:59 time: 1.6790 data_time: 0.1022 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0563 loss: 0.1744 2022/08/27 08:20:26 - mmengine - INFO - Epoch(train) [476][30/63] lr: 1.0000e-06 eta: 8:23:15 time: 1.7432 data_time: 0.1055 memory: 28971 loss_text: 0.1244 loss_kernel: 0.0594 loss: 0.1838 2022/08/27 08:20:38 - mmengine - INFO - Epoch(train) [476][35/63] lr: 1.0000e-06 eta: 8:23:15 time: 1.7544 data_time: 0.0990 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0555 loss: 0.1719 2022/08/27 08:20:43 - mmengine - INFO - Epoch(train) [476][40/63] lr: 1.0000e-06 eta: 8:22:31 time: 1.7372 data_time: 0.1100 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0665 loss: 0.2085 2022/08/27 08:20:58 - mmengine - INFO - Epoch(train) [476][45/63] lr: 1.0000e-06 eta: 8:22:31 time: 1.9733 data_time: 0.1233 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0671 loss: 0.2107 2022/08/27 08:21:05 - mmengine - INFO - Epoch(train) [476][50/63] lr: 1.0000e-06 eta: 8:21:48 time: 2.1982 data_time: 0.1229 memory: 28971 loss_text: 0.1473 loss_kernel: 0.0688 loss: 0.2161 2022/08/27 08:21:17 - mmengine - INFO - Epoch(train) [476][55/63] lr: 1.0000e-06 eta: 8:21:48 time: 1.8806 data_time: 0.1540 memory: 28971 loss_text: 0.1629 loss_kernel: 0.0748 loss: 0.2377 2022/08/27 08:21:26 - mmengine - INFO - Epoch(train) [476][60/63] lr: 1.0000e-06 eta: 8:21:05 time: 2.0891 data_time: 0.1562 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0594 loss: 0.1861 2022/08/27 08:21:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:23:19 - mmengine - INFO - Epoch(train) [477][5/63] lr: 1.0000e-06 eta: 8:21:05 time: 11.8460 data_time: 9.1720 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0608 loss: 0.1905 2022/08/27 08:23:24 - mmengine - INFO - Epoch(train) [477][10/63] lr: 1.0000e-06 eta: 8:20:31 time: 10.8976 data_time: 9.1442 memory: 28971 loss_text: 0.1521 loss_kernel: 0.0708 loss: 0.2228 2022/08/27 08:23:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:23:37 - mmengine - INFO - Epoch(train) [477][15/63] lr: 1.0000e-06 eta: 8:20:31 time: 1.8178 data_time: 0.1849 memory: 28971 loss_text: 0.1441 loss_kernel: 0.0666 loss: 0.2106 2022/08/27 08:23:47 - mmengine - INFO - Epoch(train) [477][20/63] lr: 1.0000e-06 eta: 8:19:48 time: 2.2385 data_time: 0.1879 memory: 28971 loss_text: 0.1286 loss_kernel: 0.0592 loss: 0.1878 2022/08/27 08:23:57 - mmengine - INFO - Epoch(train) [477][25/63] lr: 1.0000e-06 eta: 8:19:48 time: 1.9562 data_time: 0.0689 memory: 28971 loss_text: 0.1103 loss_kernel: 0.0525 loss: 0.1628 2022/08/27 08:24:01 - mmengine - INFO - Epoch(train) [477][30/63] lr: 1.0000e-06 eta: 8:19:03 time: 1.4777 data_time: 0.0829 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0586 loss: 0.1814 2022/08/27 08:24:14 - mmengine - INFO - Epoch(train) [477][35/63] lr: 1.0000e-06 eta: 8:19:03 time: 1.7306 data_time: 0.1180 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0661 loss: 0.2083 2022/08/27 08:24:28 - mmengine - INFO - Epoch(train) [477][40/63] lr: 1.0000e-06 eta: 8:18:22 time: 2.6626 data_time: 0.1168 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0594 loss: 0.1878 2022/08/27 08:24:37 - mmengine - INFO - Epoch(train) [477][45/63] lr: 1.0000e-06 eta: 8:18:22 time: 2.2819 data_time: 0.1334 memory: 28971 loss_text: 0.1263 loss_kernel: 0.0592 loss: 0.1855 2022/08/27 08:24:52 - mmengine - INFO - Epoch(train) [477][50/63] lr: 1.0000e-06 eta: 8:17:40 time: 2.4115 data_time: 0.1145 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0581 loss: 0.1800 2022/08/27 08:24:57 - mmengine - INFO - Epoch(train) [477][55/63] lr: 1.0000e-06 eta: 8:17:40 time: 2.0323 data_time: 0.0848 memory: 28971 loss_text: 0.1210 loss_kernel: 0.0572 loss: 0.1782 2022/08/27 08:25:13 - mmengine - INFO - Epoch(train) [477][60/63] lr: 1.0000e-06 eta: 8:16:57 time: 2.0846 data_time: 0.1233 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0592 loss: 0.1871 2022/08/27 08:25:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:26:59 - mmengine - INFO - Epoch(train) [478][5/63] lr: 1.0000e-06 eta: 8:16:57 time: 10.8703 data_time: 9.3534 memory: 28971 loss_text: 0.1552 loss_kernel: 0.0712 loss: 0.2264 2022/08/27 08:27:03 - mmengine - INFO - Epoch(train) [478][10/63] lr: 1.0000e-06 eta: 8:16:21 time: 10.6768 data_time: 9.2635 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0641 loss: 0.2013 2022/08/27 08:27:12 - mmengine - INFO - Epoch(train) [478][15/63] lr: 1.0000e-06 eta: 8:16:21 time: 1.2595 data_time: 0.0504 memory: 28971 loss_text: 0.1538 loss_kernel: 0.0718 loss: 0.2256 2022/08/27 08:27:16 - mmengine - INFO - Epoch(train) [478][20/63] lr: 1.0000e-06 eta: 8:15:36 time: 1.2779 data_time: 0.0506 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0662 loss: 0.2081 2022/08/27 08:27:21 - mmengine - INFO - Epoch(train) [478][25/63] lr: 1.0000e-06 eta: 8:15:36 time: 0.9294 data_time: 0.0432 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0590 loss: 0.1841 2022/08/27 08:27:27 - mmengine - INFO - Epoch(train) [478][30/63] lr: 1.0000e-06 eta: 8:14:51 time: 1.1033 data_time: 0.0339 memory: 28971 loss_text: 0.1551 loss_kernel: 0.0721 loss: 0.2272 2022/08/27 08:27:32 - mmengine - INFO - Epoch(train) [478][35/63] lr: 1.0000e-06 eta: 8:14:51 time: 1.1540 data_time: 0.0592 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0669 loss: 0.2114 2022/08/27 08:27:38 - mmengine - INFO - Epoch(train) [478][40/63] lr: 1.0000e-06 eta: 8:14:05 time: 1.0637 data_time: 0.0497 memory: 28971 loss_text: 0.1103 loss_kernel: 0.0514 loss: 0.1617 2022/08/27 08:27:44 - mmengine - INFO - Epoch(train) [478][45/63] lr: 1.0000e-06 eta: 8:14:05 time: 1.1207 data_time: 0.0432 memory: 28971 loss_text: 0.1082 loss_kernel: 0.0500 loss: 0.1582 2022/08/27 08:27:48 - mmengine - INFO - Epoch(train) [478][50/63] lr: 1.0000e-06 eta: 8:13:19 time: 1.0538 data_time: 0.0594 memory: 28971 loss_text: 0.1132 loss_kernel: 0.0524 loss: 0.1655 2022/08/27 08:27:54 - mmengine - INFO - Epoch(train) [478][55/63] lr: 1.0000e-06 eta: 8:13:19 time: 1.0831 data_time: 0.0478 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0528 loss: 0.1661 2022/08/27 08:27:59 - mmengine - INFO - Epoch(train) [478][60/63] lr: 1.0000e-06 eta: 8:12:34 time: 1.1086 data_time: 0.0322 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0573 loss: 0.1803 2022/08/27 08:28:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:29:35 - mmengine - INFO - Epoch(train) [479][5/63] lr: 1.0000e-06 eta: 8:12:34 time: 9.8007 data_time: 8.4479 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0523 loss: 0.1581 2022/08/27 08:29:40 - mmengine - INFO - Epoch(train) [479][10/63] lr: 1.0000e-06 eta: 8:11:56 time: 9.6116 data_time: 8.4496 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0581 loss: 0.1772 2022/08/27 08:29:46 - mmengine - INFO - Epoch(train) [479][15/63] lr: 1.0000e-06 eta: 8:11:56 time: 1.0593 data_time: 0.0342 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0650 loss: 0.2032 2022/08/27 08:29:51 - mmengine - INFO - Epoch(train) [479][20/63] lr: 1.0000e-06 eta: 8:11:10 time: 1.1261 data_time: 0.0616 memory: 28971 loss_text: 0.1545 loss_kernel: 0.0715 loss: 0.2260 2022/08/27 08:29:56 - mmengine - INFO - Epoch(train) [479][25/63] lr: 1.0000e-06 eta: 8:11:10 time: 1.0037 data_time: 0.0601 memory: 28971 loss_text: 0.1644 loss_kernel: 0.0749 loss: 0.2393 2022/08/27 08:30:03 - mmengine - INFO - Epoch(train) [479][30/63] lr: 1.0000e-06 eta: 8:10:25 time: 1.2175 data_time: 0.1430 memory: 28971 loss_text: 0.1558 loss_kernel: 0.0716 loss: 0.2274 2022/08/27 08:30:08 - mmengine - INFO - Epoch(train) [479][35/63] lr: 1.0000e-06 eta: 8:10:25 time: 1.2294 data_time: 0.1633 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0578 loss: 0.1825 2022/08/27 08:30:14 - mmengine - INFO - Epoch(train) [479][40/63] lr: 1.0000e-06 eta: 8:09:40 time: 1.0234 data_time: 0.0328 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0590 loss: 0.1864 2022/08/27 08:30:18 - mmengine - INFO - Epoch(train) [479][45/63] lr: 1.0000e-06 eta: 8:09:40 time: 1.0069 data_time: 0.0368 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0661 loss: 0.2067 2022/08/27 08:30:32 - mmengine - INFO - Epoch(train) [479][50/63] lr: 1.0000e-06 eta: 8:08:56 time: 1.8136 data_time: 0.0731 memory: 28971 loss_text: 0.1385 loss_kernel: 0.0647 loss: 0.2032 2022/08/27 08:30:39 - mmengine - INFO - Epoch(train) [479][55/63] lr: 1.0000e-06 eta: 8:08:56 time: 2.0402 data_time: 0.1694 memory: 28971 loss_text: 0.1113 loss_kernel: 0.0527 loss: 0.1640 2022/08/27 08:30:56 - mmengine - INFO - Epoch(train) [479][60/63] lr: 1.0000e-06 eta: 8:08:14 time: 2.3444 data_time: 0.1397 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0577 loss: 0.1820 2022/08/27 08:30:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:32:40 - mmengine - INFO - Epoch(train) [480][5/63] lr: 1.0000e-06 eta: 8:08:14 time: 11.8156 data_time: 9.0122 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0575 loss: 0.1800 2022/08/27 08:32:46 - mmengine - INFO - Epoch(train) [480][10/63] lr: 1.0000e-06 eta: 8:07:38 time: 10.6671 data_time: 8.9922 memory: 28971 loss_text: 0.1071 loss_kernel: 0.0506 loss: 0.1577 2022/08/27 08:33:00 - mmengine - INFO - Epoch(train) [480][15/63] lr: 1.0000e-06 eta: 8:07:38 time: 1.9717 data_time: 0.1372 memory: 28971 loss_text: 0.1011 loss_kernel: 0.0480 loss: 0.1492 2022/08/27 08:33:05 - mmengine - INFO - Epoch(train) [480][20/63] lr: 1.0000e-06 eta: 8:06:55 time: 1.8943 data_time: 0.1299 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0566 loss: 0.1766 2022/08/27 08:33:19 - mmengine - INFO - Epoch(train) [480][25/63] lr: 1.0000e-06 eta: 8:06:55 time: 1.9376 data_time: 0.0890 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0608 loss: 0.1911 2022/08/27 08:33:24 - mmengine - INFO - Epoch(train) [480][30/63] lr: 1.0000e-06 eta: 8:06:12 time: 1.9046 data_time: 0.0916 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0656 loss: 0.2072 2022/08/27 08:33:39 - mmengine - INFO - Epoch(train) [480][35/63] lr: 1.0000e-06 eta: 8:06:12 time: 1.9599 data_time: 0.1014 memory: 28971 loss_text: 0.1679 loss_kernel: 0.0767 loss: 0.2446 2022/08/27 08:33:43 - mmengine - INFO - Epoch(train) [480][40/63] lr: 1.0000e-06 eta: 8:05:28 time: 1.9394 data_time: 0.0961 memory: 28971 loss_text: 0.1781 loss_kernel: 0.0812 loss: 0.2593 2022/08/27 08:33:56 - mmengine - INFO - Epoch(train) [480][45/63] lr: 1.0000e-06 eta: 8:05:28 time: 1.7053 data_time: 0.0575 memory: 28971 loss_text: 0.1589 loss_kernel: 0.0743 loss: 0.2332 2022/08/27 08:34:01 - mmengine - INFO - Epoch(train) [480][50/63] lr: 1.0000e-06 eta: 8:04:45 time: 1.7726 data_time: 0.1169 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0621 loss: 0.1940 2022/08/27 08:34:16 - mmengine - INFO - Epoch(train) [480][55/63] lr: 1.0000e-06 eta: 8:04:45 time: 1.9318 data_time: 0.1174 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0563 loss: 0.1756 2022/08/27 08:34:21 - mmengine - INFO - Epoch(train) [480][60/63] lr: 1.0000e-06 eta: 8:04:02 time: 2.0002 data_time: 0.1872 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0580 loss: 0.1796 2022/08/27 08:34:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:34:27 - mmengine - INFO - Saving checkpoint at 480 epochs 2022/08/27 08:35:10 - mmengine - INFO - Epoch(val) [480][5/500] eta: 8:04:02 time: 3.4853 data_time: 3.0209 memory: 28971 2022/08/27 08:35:10 - mmengine - INFO - Epoch(val) [480][10/500] eta: 0:28:34 time: 3.4995 data_time: 3.0378 memory: 3207 2022/08/27 08:35:11 - mmengine - INFO - Epoch(val) [480][15/500] eta: 0:28:34 time: 0.1033 data_time: 0.0192 memory: 3207 2022/08/27 08:35:11 - mmengine - INFO - Epoch(val) [480][20/500] eta: 0:00:40 time: 0.0844 data_time: 0.0025 memory: 3207 2022/08/27 08:35:12 - mmengine - INFO - Epoch(val) [480][25/500] eta: 0:00:40 time: 0.0867 data_time: 0.0046 memory: 3207 2022/08/27 08:35:12 - mmengine - INFO - Epoch(val) [480][30/500] eta: 0:00:42 time: 0.0905 data_time: 0.0048 memory: 3207 2022/08/27 08:35:13 - mmengine - INFO - Epoch(val) [480][35/500] eta: 0:00:42 time: 0.0907 data_time: 0.0041 memory: 3207 2022/08/27 08:35:13 - mmengine - INFO - Epoch(val) [480][40/500] eta: 0:00:41 time: 0.0895 data_time: 0.0038 memory: 3207 2022/08/27 08:35:13 - mmengine - INFO - Epoch(val) [480][45/500] eta: 0:00:41 time: 0.0878 data_time: 0.0025 memory: 3207 2022/08/27 08:35:14 - mmengine - INFO - Epoch(val) [480][50/500] eta: 0:00:37 time: 0.0842 data_time: 0.0024 memory: 3207 2022/08/27 08:35:14 - mmengine - INFO - Epoch(val) [480][55/500] eta: 0:00:37 time: 0.0940 data_time: 0.0092 memory: 3207 2022/08/27 08:35:15 - mmengine - INFO - Epoch(val) [480][60/500] eta: 0:00:40 time: 0.0922 data_time: 0.0095 memory: 3207 2022/08/27 08:35:16 - mmengine - INFO - Epoch(val) [480][65/500] eta: 0:00:40 time: 0.1233 data_time: 0.0299 memory: 3207 2022/08/27 08:35:16 - mmengine - INFO - Epoch(val) [480][70/500] eta: 0:00:56 time: 0.1319 data_time: 0.0297 memory: 3207 2022/08/27 08:35:17 - mmengine - INFO - Epoch(val) [480][75/500] eta: 0:00:56 time: 0.1029 data_time: 0.0028 memory: 3207 2022/08/27 08:35:17 - mmengine - INFO - Epoch(val) [480][80/500] eta: 0:00:39 time: 0.0945 data_time: 0.0029 memory: 3207 2022/08/27 08:35:17 - mmengine - INFO - Epoch(val) [480][85/500] eta: 0:00:39 time: 0.0803 data_time: 0.0029 memory: 3207 2022/08/27 08:35:18 - mmengine - INFO - Epoch(val) [480][90/500] eta: 0:00:35 time: 0.0855 data_time: 0.0030 memory: 3207 2022/08/27 08:35:19 - mmengine - INFO - Epoch(val) [480][95/500] eta: 0:00:35 time: 0.1022 data_time: 0.0030 memory: 3207 2022/08/27 08:35:20 - mmengine - INFO - Epoch(val) [480][100/500] eta: 0:01:02 time: 0.1570 data_time: 0.0041 memory: 3207 2022/08/27 08:35:22 - mmengine - INFO - Epoch(val) [480][105/500] eta: 0:01:02 time: 0.3291 data_time: 0.0238 memory: 3207 2022/08/27 08:35:24 - mmengine - INFO - Epoch(val) [480][110/500] eta: 0:02:36 time: 0.4020 data_time: 0.1191 memory: 3207 2022/08/27 08:35:24 - mmengine - INFO - Epoch(val) [480][115/500] eta: 0:02:36 time: 0.2151 data_time: 0.0991 memory: 3207 2022/08/27 08:35:24 - mmengine - INFO - Epoch(val) [480][120/500] eta: 0:00:34 time: 0.0909 data_time: 0.0088 memory: 3207 2022/08/27 08:35:25 - mmengine - INFO - Epoch(val) [480][125/500] eta: 0:00:34 time: 0.0908 data_time: 0.0090 memory: 3207 2022/08/27 08:35:26 - mmengine - INFO - Epoch(val) [480][130/500] eta: 0:01:12 time: 0.1971 data_time: 0.0176 memory: 3207 2022/08/27 08:35:27 - mmengine - INFO - Epoch(val) [480][135/500] eta: 0:01:12 time: 0.2145 data_time: 0.0178 memory: 3207 2022/08/27 08:35:27 - mmengine - INFO - Epoch(val) [480][140/500] eta: 0:00:36 time: 0.1015 data_time: 0.0030 memory: 3207 2022/08/27 08:35:28 - mmengine - INFO - Epoch(val) [480][145/500] eta: 0:00:36 time: 0.0900 data_time: 0.0027 memory: 3207 2022/08/27 08:35:28 - mmengine - INFO - Epoch(val) [480][150/500] eta: 0:00:31 time: 0.0913 data_time: 0.0029 memory: 3207 2022/08/27 08:35:29 - mmengine - INFO - Epoch(val) [480][155/500] eta: 0:00:31 time: 0.1082 data_time: 0.0031 memory: 3207 2022/08/27 08:35:30 - mmengine - INFO - Epoch(val) [480][160/500] eta: 0:00:53 time: 0.1586 data_time: 0.0150 memory: 3207 2022/08/27 08:35:30 - mmengine - INFO - Epoch(val) [480][165/500] eta: 0:00:53 time: 0.1379 data_time: 0.0147 memory: 3207 2022/08/27 08:35:31 - mmengine - INFO - Epoch(val) [480][170/500] eta: 0:00:28 time: 0.0870 data_time: 0.0025 memory: 3207 2022/08/27 08:35:31 - mmengine - INFO - Epoch(val) [480][175/500] eta: 0:00:28 time: 0.0833 data_time: 0.0026 memory: 3207 2022/08/27 08:35:32 - mmengine - INFO - Epoch(val) [480][180/500] eta: 0:00:26 time: 0.0830 data_time: 0.0027 memory: 3207 2022/08/27 08:35:37 - mmengine - INFO - Epoch(val) [480][185/500] eta: 0:00:26 time: 0.5587 data_time: 0.1185 memory: 3207 2022/08/27 08:35:38 - mmengine - INFO - Epoch(val) [480][190/500] eta: 0:03:01 time: 0.5865 data_time: 0.1438 memory: 3207 2022/08/27 08:35:38 - mmengine - INFO - Epoch(val) [480][195/500] eta: 0:03:01 time: 0.1121 data_time: 0.0282 memory: 3207 2022/08/27 08:35:38 - mmengine - INFO - Epoch(val) [480][200/500] eta: 0:00:27 time: 0.0908 data_time: 0.0029 memory: 3207 2022/08/27 08:35:39 - mmengine - INFO - Epoch(val) [480][205/500] eta: 0:00:27 time: 0.1426 data_time: 0.0029 memory: 3207 2022/08/27 08:35:40 - mmengine - INFO - Epoch(val) [480][210/500] eta: 0:00:39 time: 0.1378 data_time: 0.0056 memory: 3207 2022/08/27 08:35:41 - mmengine - INFO - Epoch(val) [480][215/500] eta: 0:00:39 time: 0.1425 data_time: 0.0300 memory: 3207 2022/08/27 08:35:41 - mmengine - INFO - Epoch(val) [480][220/500] eta: 0:00:39 time: 0.1405 data_time: 0.0277 memory: 3207 2022/08/27 08:35:42 - mmengine - INFO - Epoch(val) [480][225/500] eta: 0:00:39 time: 0.0845 data_time: 0.0031 memory: 3207 2022/08/27 08:35:42 - mmengine - INFO - Epoch(val) [480][230/500] eta: 0:00:21 time: 0.0814 data_time: 0.0024 memory: 3207 2022/08/27 08:35:42 - mmengine - INFO - Epoch(val) [480][235/500] eta: 0:00:21 time: 0.0826 data_time: 0.0025 memory: 3207 2022/08/27 08:35:44 - mmengine - INFO - Epoch(val) [480][240/500] eta: 0:00:38 time: 0.1484 data_time: 0.0052 memory: 3207 2022/08/27 08:35:44 - mmengine - INFO - Epoch(val) [480][245/500] eta: 0:00:38 time: 0.1535 data_time: 0.0051 memory: 3207 2022/08/27 08:35:44 - mmengine - INFO - Epoch(val) [480][250/500] eta: 0:00:22 time: 0.0901 data_time: 0.0024 memory: 3207 2022/08/27 08:35:45 - mmengine - INFO - Epoch(val) [480][255/500] eta: 0:00:22 time: 0.0824 data_time: 0.0025 memory: 3207 2022/08/27 08:35:45 - mmengine - INFO - Epoch(val) [480][260/500] eta: 0:00:22 time: 0.0943 data_time: 0.0134 memory: 3207 2022/08/27 08:35:47 - mmengine - INFO - Epoch(val) [480][265/500] eta: 0:00:22 time: 0.2233 data_time: 0.0451 memory: 3207 2022/08/27 08:35:52 - mmengine - INFO - Epoch(val) [480][270/500] eta: 0:02:23 time: 0.6225 data_time: 0.0926 memory: 3207 2022/08/27 08:35:52 - mmengine - INFO - Epoch(val) [480][275/500] eta: 0:02:23 time: 0.5020 data_time: 0.0686 memory: 3207 2022/08/27 08:35:53 - mmengine - INFO - Epoch(val) [480][280/500] eta: 0:00:20 time: 0.0929 data_time: 0.0102 memory: 3207 2022/08/27 08:35:53 - mmengine - INFO - Epoch(val) [480][285/500] eta: 0:00:20 time: 0.0846 data_time: 0.0027 memory: 3207 2022/08/27 08:35:53 - mmengine - INFO - Epoch(val) [480][290/500] eta: 0:00:18 time: 0.0872 data_time: 0.0047 memory: 3207 2022/08/27 08:35:54 - mmengine - INFO - Epoch(val) [480][295/500] eta: 0:00:18 time: 0.0902 data_time: 0.0048 memory: 3207 2022/08/27 08:35:54 - mmengine - INFO - Epoch(val) [480][300/500] eta: 0:00:17 time: 0.0864 data_time: 0.0029 memory: 3207 2022/08/27 08:35:55 - mmengine - INFO - Epoch(val) [480][305/500] eta: 0:00:17 time: 0.0857 data_time: 0.0039 memory: 3207 2022/08/27 08:35:56 - mmengine - INFO - Epoch(val) [480][310/500] eta: 0:00:40 time: 0.2145 data_time: 0.0057 memory: 3207 2022/08/27 08:36:00 - mmengine - INFO - Epoch(val) [480][315/500] eta: 0:00:40 time: 0.5000 data_time: 0.0135 memory: 3207 2022/08/27 08:36:00 - mmengine - INFO - Epoch(val) [480][320/500] eta: 0:01:10 time: 0.3906 data_time: 0.0209 memory: 3207 2022/08/27 08:36:01 - mmengine - INFO - Epoch(val) [480][325/500] eta: 0:01:10 time: 0.1366 data_time: 0.0119 memory: 3207 2022/08/27 08:36:06 - mmengine - INFO - Epoch(val) [480][330/500] eta: 0:01:40 time: 0.5916 data_time: 0.0483 memory: 3207 2022/08/27 08:36:07 - mmengine - INFO - Epoch(val) [480][335/500] eta: 0:01:40 time: 0.5937 data_time: 0.0675 memory: 3207 2022/08/27 08:36:08 - mmengine - INFO - Epoch(val) [480][340/500] eta: 0:00:20 time: 0.1273 data_time: 0.0227 memory: 3207 2022/08/27 08:36:08 - mmengine - INFO - Epoch(val) [480][345/500] eta: 0:00:20 time: 0.0924 data_time: 0.0035 memory: 3207 2022/08/27 08:36:08 - mmengine - INFO - Epoch(val) [480][350/500] eta: 0:00:13 time: 0.0911 data_time: 0.0025 memory: 3207 2022/08/27 08:36:09 - mmengine - INFO - Epoch(val) [480][355/500] eta: 0:00:13 time: 0.0914 data_time: 0.0026 memory: 3207 2022/08/27 08:36:09 - mmengine - INFO - Epoch(val) [480][360/500] eta: 0:00:11 time: 0.0856 data_time: 0.0027 memory: 3207 2022/08/27 08:36:10 - mmengine - INFO - Epoch(val) [480][365/500] eta: 0:00:11 time: 0.0930 data_time: 0.0059 memory: 3207 2022/08/27 08:36:12 - mmengine - INFO - Epoch(val) [480][370/500] eta: 0:00:30 time: 0.2352 data_time: 0.0078 memory: 3207 2022/08/27 08:36:12 - mmengine - INFO - Epoch(val) [480][375/500] eta: 0:00:30 time: 0.2375 data_time: 0.0145 memory: 3207 2022/08/27 08:36:13 - mmengine - INFO - Epoch(val) [480][380/500] eta: 0:00:11 time: 0.0964 data_time: 0.0126 memory: 3207 2022/08/27 08:36:13 - mmengine - INFO - Epoch(val) [480][385/500] eta: 0:00:11 time: 0.0873 data_time: 0.0028 memory: 3207 2022/08/27 08:36:13 - mmengine - INFO - Epoch(val) [480][390/500] eta: 0:00:09 time: 0.0845 data_time: 0.0028 memory: 3207 2022/08/27 08:36:15 - mmengine - INFO - Epoch(val) [480][395/500] eta: 0:00:09 time: 0.1691 data_time: 0.0050 memory: 3207 2022/08/27 08:36:16 - mmengine - INFO - Epoch(val) [480][400/500] eta: 0:00:20 time: 0.2082 data_time: 0.0410 memory: 3207 2022/08/27 08:36:22 - mmengine - INFO - Epoch(val) [480][405/500] eta: 0:00:20 time: 0.6903 data_time: 0.0452 memory: 3207 2022/08/27 08:36:23 - mmengine - INFO - Epoch(val) [480][410/500] eta: 0:01:04 time: 0.7190 data_time: 0.0157 memory: 3207 2022/08/27 08:36:23 - mmengine - INFO - Epoch(val) [480][415/500] eta: 0:01:04 time: 0.1505 data_time: 0.0092 memory: 3207 2022/08/27 08:36:24 - mmengine - INFO - Epoch(val) [480][420/500] eta: 0:00:06 time: 0.0807 data_time: 0.0027 memory: 3207 2022/08/27 08:36:24 - mmengine - INFO - Epoch(val) [480][425/500] eta: 0:00:06 time: 0.1014 data_time: 0.0028 memory: 3207 2022/08/27 08:36:25 - mmengine - INFO - Epoch(val) [480][430/500] eta: 0:00:07 time: 0.1032 data_time: 0.0029 memory: 3207 2022/08/27 08:36:25 - mmengine - INFO - Epoch(val) [480][435/500] eta: 0:00:07 time: 0.0825 data_time: 0.0029 memory: 3207 2022/08/27 08:36:25 - mmengine - INFO - Epoch(val) [480][440/500] eta: 0:00:05 time: 0.0897 data_time: 0.0097 memory: 3207 2022/08/27 08:36:26 - mmengine - INFO - Epoch(val) [480][445/500] eta: 0:00:05 time: 0.1379 data_time: 0.0104 memory: 3207 2022/08/27 08:36:27 - mmengine - INFO - Epoch(val) [480][450/500] eta: 0:00:06 time: 0.1343 data_time: 0.0039 memory: 3207 2022/08/27 08:36:27 - mmengine - INFO - Epoch(val) [480][455/500] eta: 0:00:06 time: 0.1086 data_time: 0.0165 memory: 3207 2022/08/27 08:36:28 - mmengine - INFO - Epoch(val) [480][460/500] eta: 0:00:04 time: 0.1040 data_time: 0.0170 memory: 3207 2022/08/27 08:36:28 - mmengine - INFO - Epoch(val) [480][465/500] eta: 0:00:04 time: 0.0819 data_time: 0.0037 memory: 3207 2022/08/27 08:36:29 - mmengine - INFO - Epoch(val) [480][470/500] eta: 0:00:02 time: 0.0828 data_time: 0.0027 memory: 3207 2022/08/27 08:36:29 - mmengine - INFO - Epoch(val) [480][475/500] eta: 0:00:02 time: 0.0814 data_time: 0.0026 memory: 3207 2022/08/27 08:36:30 - mmengine - INFO - Epoch(val) [480][480/500] eta: 0:00:01 time: 0.0817 data_time: 0.0026 memory: 3207 2022/08/27 08:36:30 - mmengine - INFO - Epoch(val) [480][485/500] eta: 0:00:01 time: 0.0823 data_time: 0.0026 memory: 3207 2022/08/27 08:36:30 - mmengine - INFO - Epoch(val) [480][490/500] eta: 0:00:00 time: 0.0840 data_time: 0.0027 memory: 3207 2022/08/27 08:36:31 - mmengine - INFO - Epoch(val) [480][495/500] eta: 0:00:00 time: 0.1445 data_time: 0.0034 memory: 3207 2022/08/27 08:36:37 - mmengine - INFO - Epoch(val) [480][500/500] eta: 0:00:00 time: 0.6680 data_time: 0.0525 memory: 3207 2022/08/27 08:36:37 - mmengine - INFO - Evaluating hmean-iou... 2022/08/27 08:36:37 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7867, precision: 0.6375, hmean: 0.7043 2022/08/27 08:36:37 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7867, precision: 0.6375, hmean: 0.7043 2022/08/27 08:36:37 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7867, precision: 0.6375, hmean: 0.7043 2022/08/27 08:36:37 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7867, precision: 0.6752, hmean: 0.7267 2022/08/27 08:36:37 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7867, precision: 0.7217, hmean: 0.7528 2022/08/27 08:36:37 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7848, precision: 0.7732, hmean: 0.7790 2022/08/27 08:36:37 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7675, precision: 0.8306, hmean: 0.7978 2022/08/27 08:36:37 - mmengine - INFO - Epoch(val) [480][500/500] icdar/precision: 0.8306 icdar/recall: 0.7675 icdar/hmean: 0.7978 2022/08/27 08:38:20 - mmengine - INFO - Epoch(train) [481][5/63] lr: 1.0000e-06 eta: 0:00:00 time: 11.0173 data_time: 9.1919 memory: 28971 loss_text: 0.1481 loss_kernel: 0.0692 loss: 0.2173 2022/08/27 08:38:26 - mmengine - INFO - Epoch(train) [481][10/63] lr: 1.0000e-06 eta: 8:03:26 time: 10.8362 data_time: 9.2091 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0684 loss: 0.2152 2022/08/27 08:38:41 - mmengine - INFO - Epoch(train) [481][15/63] lr: 1.0000e-06 eta: 8:03:26 time: 2.0143 data_time: 0.0969 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0594 loss: 0.1853 2022/08/27 08:38:46 - mmengine - INFO - Epoch(train) [481][20/63] lr: 1.0000e-06 eta: 8:02:43 time: 1.9924 data_time: 0.0881 memory: 28971 loss_text: 0.0948 loss_kernel: 0.0465 loss: 0.1413 2022/08/27 08:39:01 - mmengine - INFO - Epoch(train) [481][25/63] lr: 1.0000e-06 eta: 8:02:43 time: 2.0897 data_time: 0.1333 memory: 28971 loss_text: 0.0995 loss_kernel: 0.0478 loss: 0.1473 2022/08/27 08:39:07 - mmengine - INFO - Epoch(train) [481][30/63] lr: 1.0000e-06 eta: 8:02:01 time: 2.0936 data_time: 0.1428 memory: 28971 loss_text: 0.1098 loss_kernel: 0.0523 loss: 0.1621 2022/08/27 08:39:22 - mmengine - INFO - Epoch(train) [481][35/63] lr: 1.0000e-06 eta: 8:02:01 time: 2.0261 data_time: 0.1089 memory: 28971 loss_text: 0.1165 loss_kernel: 0.0561 loss: 0.1726 2022/08/27 08:39:27 - mmengine - INFO - Epoch(train) [481][40/63] lr: 1.0000e-06 eta: 8:01:18 time: 2.0155 data_time: 0.0728 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0563 loss: 0.1737 2022/08/27 08:39:42 - mmengine - INFO - Epoch(train) [481][45/63] lr: 1.0000e-06 eta: 8:01:18 time: 2.0553 data_time: 0.0748 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0576 loss: 0.1797 2022/08/27 08:39:47 - mmengine - INFO - Epoch(train) [481][50/63] lr: 1.0000e-06 eta: 8:00:35 time: 2.0371 data_time: 0.1080 memory: 28971 loss_text: 0.1255 loss_kernel: 0.0591 loss: 0.1847 2022/08/27 08:40:02 - mmengine - INFO - Epoch(train) [481][55/63] lr: 1.0000e-06 eta: 8:00:35 time: 1.9843 data_time: 0.0736 memory: 28971 loss_text: 0.1147 loss_kernel: 0.0542 loss: 0.1689 2022/08/27 08:40:12 - mmengine - INFO - Epoch(train) [481][60/63] lr: 1.0000e-06 eta: 7:59:53 time: 2.4825 data_time: 0.1486 memory: 28971 loss_text: 0.1047 loss_kernel: 0.0477 loss: 0.1524 2022/08/27 08:40:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:42:11 - mmengine - INFO - Epoch(train) [482][5/63] lr: 1.0000e-06 eta: 7:59:53 time: 12.3901 data_time: 9.4495 memory: 28971 loss_text: 0.0957 loss_kernel: 0.0454 loss: 0.1411 2022/08/27 08:42:16 - mmengine - INFO - Epoch(train) [482][10/63] lr: 1.0000e-06 eta: 7:59:18 time: 11.1434 data_time: 9.4710 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0596 loss: 0.1870 2022/08/27 08:42:32 - mmengine - INFO - Epoch(train) [482][15/63] lr: 1.0000e-06 eta: 7:59:18 time: 2.1219 data_time: 0.0999 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0632 loss: 0.1994 2022/08/27 08:42:36 - mmengine - INFO - Epoch(train) [482][20/63] lr: 1.0000e-06 eta: 7:58:36 time: 2.0237 data_time: 0.0809 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0666 loss: 0.2069 2022/08/27 08:42:50 - mmengine - INFO - Epoch(train) [482][25/63] lr: 1.0000e-06 eta: 7:58:36 time: 1.7845 data_time: 0.0913 memory: 28971 loss_text: 0.1601 loss_kernel: 0.0746 loss: 0.2347 2022/08/27 08:42:54 - mmengine - INFO - Epoch(train) [482][30/63] lr: 1.0000e-06 eta: 7:57:52 time: 1.7991 data_time: 0.0951 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0638 loss: 0.1999 2022/08/27 08:43:05 - mmengine - INFO - Epoch(train) [482][35/63] lr: 1.0000e-06 eta: 7:57:52 time: 1.5684 data_time: 0.0661 memory: 28971 loss_text: 0.1033 loss_kernel: 0.0507 loss: 0.1540 2022/08/27 08:43:11 - mmengine - INFO - Epoch(train) [482][40/63] lr: 1.0000e-06 eta: 7:57:08 time: 1.7002 data_time: 0.1043 memory: 28971 loss_text: 0.1024 loss_kernel: 0.0501 loss: 0.1525 2022/08/27 08:43:16 - mmengine - INFO - Epoch(train) [482][45/63] lr: 1.0000e-06 eta: 7:57:08 time: 1.0581 data_time: 0.0982 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0572 loss: 0.1771 2022/08/27 08:43:34 - mmengine - INFO - Epoch(train) [482][50/63] lr: 1.0000e-06 eta: 7:56:26 time: 2.2146 data_time: 0.0908 memory: 28971 loss_text: 0.1130 loss_kernel: 0.0543 loss: 0.1673 2022/08/27 08:43:38 - mmengine - INFO - Epoch(train) [482][55/63] lr: 1.0000e-06 eta: 7:56:26 time: 2.2359 data_time: 0.1203 memory: 28971 loss_text: 0.1012 loss_kernel: 0.0477 loss: 0.1488 2022/08/27 08:43:54 - mmengine - INFO - Epoch(train) [482][60/63] lr: 1.0000e-06 eta: 7:55:43 time: 2.0109 data_time: 0.0561 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0590 loss: 0.1853 2022/08/27 08:43:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:45:41 - mmengine - INFO - Epoch(train) [483][5/63] lr: 1.0000e-06 eta: 7:55:43 time: 10.8591 data_time: 9.2566 memory: 28971 loss_text: 0.1075 loss_kernel: 0.0521 loss: 0.1596 2022/08/27 08:45:46 - mmengine - INFO - Epoch(train) [483][10/63] lr: 1.0000e-06 eta: 7:55:07 time: 10.7728 data_time: 9.1974 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0559 loss: 0.1724 2022/08/27 08:46:01 - mmengine - INFO - Epoch(train) [483][15/63] lr: 1.0000e-06 eta: 7:55:07 time: 2.0741 data_time: 0.1940 memory: 28971 loss_text: 0.0985 loss_kernel: 0.0481 loss: 0.1466 2022/08/27 08:46:06 - mmengine - INFO - Epoch(train) [483][20/63] lr: 1.0000e-06 eta: 7:54:25 time: 2.0313 data_time: 0.1918 memory: 28971 loss_text: 0.0988 loss_kernel: 0.0475 loss: 0.1463 2022/08/27 08:46:19 - mmengine - INFO - Epoch(train) [483][25/63] lr: 1.0000e-06 eta: 7:54:25 time: 1.7665 data_time: 0.1096 memory: 28971 loss_text: 0.1063 loss_kernel: 0.0498 loss: 0.1561 2022/08/27 08:46:24 - mmengine - INFO - Epoch(train) [483][30/63] lr: 1.0000e-06 eta: 7:53:41 time: 1.7668 data_time: 0.0949 memory: 28971 loss_text: 0.1234 loss_kernel: 0.0575 loss: 0.1809 2022/08/27 08:46:38 - mmengine - INFO - Epoch(train) [483][35/63] lr: 1.0000e-06 eta: 7:53:41 time: 1.8813 data_time: 0.1121 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0559 loss: 0.1734 2022/08/27 08:46:43 - mmengine - INFO - Epoch(train) [483][40/63] lr: 1.0000e-06 eta: 7:52:58 time: 1.9243 data_time: 0.1448 memory: 28971 loss_text: 0.1059 loss_kernel: 0.0506 loss: 0.1565 2022/08/27 08:46:59 - mmengine - INFO - Epoch(train) [483][45/63] lr: 1.0000e-06 eta: 7:52:58 time: 2.1237 data_time: 0.1060 memory: 28971 loss_text: 0.1263 loss_kernel: 0.0588 loss: 0.1851 2022/08/27 08:47:07 - mmengine - INFO - Epoch(train) [483][50/63] lr: 1.0000e-06 eta: 7:52:16 time: 2.4270 data_time: 0.1199 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0623 loss: 0.1962 2022/08/27 08:47:28 - mmengine - INFO - Epoch(train) [483][55/63] lr: 1.0000e-06 eta: 7:52:16 time: 2.8963 data_time: 0.1212 memory: 28971 loss_text: 0.1013 loss_kernel: 0.0491 loss: 0.1504 2022/08/27 08:47:38 - mmengine - INFO - Epoch(train) [483][60/63] lr: 1.0000e-06 eta: 7:51:36 time: 3.0826 data_time: 0.1979 memory: 28971 loss_text: 0.1107 loss_kernel: 0.0532 loss: 0.1638 2022/08/27 08:47:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:49:31 - mmengine - INFO - Epoch(train) [484][5/63] lr: 1.0000e-06 eta: 7:51:36 time: 11.4497 data_time: 9.3262 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0601 loss: 0.1902 2022/08/27 08:49:36 - mmengine - INFO - Epoch(train) [484][10/63] lr: 1.0000e-06 eta: 7:51:01 time: 11.0427 data_time: 9.3757 memory: 28971 loss_text: 0.1616 loss_kernel: 0.0721 loss: 0.2337 2022/08/27 08:49:53 - mmengine - INFO - Epoch(train) [484][15/63] lr: 1.0000e-06 eta: 7:51:01 time: 2.1648 data_time: 0.0685 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0641 loss: 0.2031 2022/08/27 08:49:58 - mmengine - INFO - Epoch(train) [484][20/63] lr: 1.0000e-06 eta: 7:50:18 time: 2.1273 data_time: 0.0813 memory: 28971 loss_text: 0.1201 loss_kernel: 0.0570 loss: 0.1771 2022/08/27 08:50:14 - mmengine - INFO - Epoch(train) [484][25/63] lr: 1.0000e-06 eta: 7:50:18 time: 2.1628 data_time: 0.1410 memory: 28971 loss_text: 0.1384 loss_kernel: 0.0643 loss: 0.2026 2022/08/27 08:50:33 - mmengine - INFO - Epoch(train) [484][30/63] lr: 1.0000e-06 eta: 7:49:39 time: 3.5316 data_time: 0.1273 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0616 loss: 0.1927 2022/08/27 08:50:39 - mmengine - INFO - Epoch(train) [484][35/63] lr: 1.0000e-06 eta: 7:49:39 time: 2.4355 data_time: 0.1391 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0566 loss: 0.1756 2022/08/27 08:50:51 - mmengine - INFO - Epoch(train) [484][40/63] lr: 1.0000e-06 eta: 7:48:56 time: 1.7100 data_time: 0.0895 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0547 loss: 0.1702 2022/08/27 08:50:57 - mmengine - INFO - Epoch(train) [484][45/63] lr: 1.0000e-06 eta: 7:48:56 time: 1.8005 data_time: 0.1695 memory: 28971 loss_text: 0.1140 loss_kernel: 0.0549 loss: 0.1689 2022/08/27 08:51:01 - mmengine - INFO - Epoch(train) [484][50/63] lr: 1.0000e-06 eta: 7:48:11 time: 1.1252 data_time: 0.1966 memory: 28971 loss_text: 0.0986 loss_kernel: 0.0482 loss: 0.1467 2022/08/27 08:51:17 - mmengine - INFO - Epoch(train) [484][55/63] lr: 1.0000e-06 eta: 7:48:11 time: 2.0392 data_time: 0.0667 memory: 28971 loss_text: 0.0968 loss_kernel: 0.0481 loss: 0.1449 2022/08/27 08:51:23 - mmengine - INFO - Epoch(train) [484][60/63] lr: 1.0000e-06 eta: 7:47:28 time: 2.1415 data_time: 0.1036 memory: 28971 loss_text: 0.1366 loss_kernel: 0.0643 loss: 0.2009 2022/08/27 08:51:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:53:27 - mmengine - INFO - Epoch(train) [485][5/63] lr: 1.0000e-06 eta: 7:47:28 time: 12.6278 data_time: 9.7456 memory: 28971 loss_text: 0.1565 loss_kernel: 0.0712 loss: 0.2277 2022/08/27 08:53:32 - mmengine - INFO - Epoch(train) [485][10/63] lr: 1.0000e-06 eta: 7:46:54 time: 11.5597 data_time: 9.7102 memory: 28971 loss_text: 0.1623 loss_kernel: 0.0737 loss: 0.2360 2022/08/27 08:53:45 - mmengine - INFO - Epoch(train) [485][15/63] lr: 1.0000e-06 eta: 7:46:54 time: 1.8340 data_time: 0.0592 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0634 loss: 0.1986 2022/08/27 08:53:50 - mmengine - INFO - Epoch(train) [485][20/63] lr: 1.0000e-06 eta: 7:46:11 time: 1.7673 data_time: 0.1009 memory: 28971 loss_text: 0.1213 loss_kernel: 0.0578 loss: 0.1792 2022/08/27 08:54:07 - mmengine - INFO - Epoch(train) [485][25/63] lr: 1.0000e-06 eta: 7:46:11 time: 2.1380 data_time: 0.1108 memory: 28971 loss_text: 0.1044 loss_kernel: 0.0502 loss: 0.1546 2022/08/27 08:54:12 - mmengine - INFO - Epoch(train) [485][30/63] lr: 1.0000e-06 eta: 7:45:28 time: 2.1304 data_time: 0.0953 memory: 28971 loss_text: 0.1084 loss_kernel: 0.0518 loss: 0.1602 2022/08/27 08:54:24 - mmengine - INFO - Epoch(train) [485][35/63] lr: 1.0000e-06 eta: 7:45:28 time: 1.6948 data_time: 0.0880 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0640 loss: 0.2009 2022/08/27 08:54:29 - mmengine - INFO - Epoch(train) [485][40/63] lr: 1.0000e-06 eta: 7:44:45 time: 1.7164 data_time: 0.1026 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0690 loss: 0.2179 2022/08/27 08:54:42 - mmengine - INFO - Epoch(train) [485][45/63] lr: 1.0000e-06 eta: 7:44:45 time: 1.8330 data_time: 0.0961 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0697 loss: 0.2188 2022/08/27 08:54:49 - mmengine - INFO - Epoch(train) [485][50/63] lr: 1.0000e-06 eta: 7:44:02 time: 2.0069 data_time: 0.0809 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0593 loss: 0.1838 2022/08/27 08:55:03 - mmengine - INFO - Epoch(train) [485][55/63] lr: 1.0000e-06 eta: 7:44:02 time: 2.0544 data_time: 0.0610 memory: 28971 loss_text: 0.0869 loss_kernel: 0.0437 loss: 0.1306 2022/08/27 08:55:22 - mmengine - INFO - Epoch(train) [485][60/63] lr: 1.0000e-06 eta: 7:43:23 time: 3.3229 data_time: 0.2303 memory: 28971 loss_text: 0.1254 loss_kernel: 0.0597 loss: 0.1851 2022/08/27 08:55:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 08:57:11 - mmengine - INFO - Epoch(train) [486][5/63] lr: 1.0000e-06 eta: 7:43:23 time: 11.8399 data_time: 9.4253 memory: 28971 loss_text: 0.1191 loss_kernel: 0.0567 loss: 0.1758 2022/08/27 08:57:24 - mmengine - INFO - Epoch(train) [486][10/63] lr: 1.0000e-06 eta: 7:42:49 time: 11.7805 data_time: 9.5898 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0661 loss: 0.2068 2022/08/27 08:57:32 - mmengine - INFO - Epoch(train) [486][15/63] lr: 1.0000e-06 eta: 7:42:49 time: 2.0842 data_time: 0.4092 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0618 loss: 0.1928 2022/08/27 08:57:36 - mmengine - INFO - Epoch(train) [486][20/63] lr: 1.0000e-06 eta: 7:42:04 time: 1.2509 data_time: 0.2021 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0593 loss: 0.1849 2022/08/27 08:57:50 - mmengine - INFO - Epoch(train) [486][25/63] lr: 1.0000e-06 eta: 7:42:04 time: 1.8880 data_time: 0.1082 memory: 28971 loss_text: 0.1375 loss_kernel: 0.0644 loss: 0.2019 2022/08/27 08:57:55 - mmengine - INFO - Epoch(train) [486][30/63] lr: 1.0000e-06 eta: 7:41:22 time: 1.9128 data_time: 0.1298 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0611 loss: 0.1884 2022/08/27 08:58:09 - mmengine - INFO - Epoch(train) [486][35/63] lr: 1.0000e-06 eta: 7:41:22 time: 1.8756 data_time: 0.1396 memory: 28971 loss_text: 0.1143 loss_kernel: 0.0556 loss: 0.1699 2022/08/27 08:58:14 - mmengine - INFO - Epoch(train) [486][40/63] lr: 1.0000e-06 eta: 7:40:39 time: 1.8784 data_time: 0.1184 memory: 28971 loss_text: 0.0916 loss_kernel: 0.0455 loss: 0.1371 2022/08/27 08:58:28 - mmengine - INFO - Epoch(train) [486][45/63] lr: 1.0000e-06 eta: 7:40:39 time: 1.8743 data_time: 0.0612 memory: 28971 loss_text: 0.1002 loss_kernel: 0.0500 loss: 0.1502 2022/08/27 08:58:33 - mmengine - INFO - Epoch(train) [486][50/63] lr: 1.0000e-06 eta: 7:39:56 time: 1.8820 data_time: 0.0866 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0577 loss: 0.1776 2022/08/27 08:58:38 - mmengine - INFO - Epoch(train) [486][55/63] lr: 1.0000e-06 eta: 7:39:56 time: 0.9720 data_time: 0.0509 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0562 loss: 0.1738 2022/08/27 08:58:52 - mmengine - INFO - Epoch(train) [486][60/63] lr: 1.0000e-06 eta: 7:39:13 time: 1.9167 data_time: 0.1055 memory: 28971 loss_text: 0.1141 loss_kernel: 0.0545 loss: 0.1686 2022/08/27 08:58:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:00:37 - mmengine - INFO - Epoch(train) [487][5/63] lr: 1.0000e-06 eta: 7:39:13 time: 10.6737 data_time: 8.9053 memory: 28971 loss_text: 0.1105 loss_kernel: 0.0536 loss: 0.1641 2022/08/27 09:00:42 - mmengine - INFO - Epoch(train) [487][10/63] lr: 1.0000e-06 eta: 7:38:36 time: 10.6088 data_time: 8.9211 memory: 28971 loss_text: 0.1257 loss_kernel: 0.0605 loss: 0.1862 2022/08/27 09:00:56 - mmengine - INFO - Epoch(train) [487][15/63] lr: 1.0000e-06 eta: 7:38:36 time: 1.8527 data_time: 0.0595 memory: 28971 loss_text: 0.1166 loss_kernel: 0.0568 loss: 0.1734 2022/08/27 09:01:00 - mmengine - INFO - Epoch(train) [487][20/63] lr: 1.0000e-06 eta: 7:37:53 time: 1.8346 data_time: 0.0736 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0522 loss: 0.1580 2022/08/27 09:01:15 - mmengine - INFO - Epoch(train) [487][25/63] lr: 1.0000e-06 eta: 7:37:53 time: 1.9337 data_time: 0.1258 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0586 loss: 0.1851 2022/08/27 09:01:21 - mmengine - INFO - Epoch(train) [487][30/63] lr: 1.0000e-06 eta: 7:37:11 time: 2.1109 data_time: 0.1158 memory: 28971 loss_text: 0.1539 loss_kernel: 0.0697 loss: 0.2237 2022/08/27 09:01:34 - mmengine - INFO - Epoch(train) [487][35/63] lr: 1.0000e-06 eta: 7:37:11 time: 1.9247 data_time: 0.0963 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0616 loss: 0.1964 2022/08/27 09:01:43 - mmengine - INFO - Epoch(train) [487][40/63] lr: 1.0000e-06 eta: 7:36:28 time: 2.0998 data_time: 0.0881 memory: 28971 loss_text: 0.1121 loss_kernel: 0.0527 loss: 0.1648 2022/08/27 09:01:53 - mmengine - INFO - Epoch(train) [487][45/63] lr: 1.0000e-06 eta: 7:36:28 time: 1.8530 data_time: 0.0828 memory: 28971 loss_text: 0.1114 loss_kernel: 0.0535 loss: 0.1649 2022/08/27 09:02:01 - mmengine - INFO - Epoch(train) [487][50/63] lr: 1.0000e-06 eta: 7:35:45 time: 1.7994 data_time: 0.1025 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0575 loss: 0.1802 2022/08/27 09:02:14 - mmengine - INFO - Epoch(train) [487][55/63] lr: 1.0000e-06 eta: 7:35:45 time: 2.1480 data_time: 0.2461 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0554 loss: 0.1773 2022/08/27 09:02:30 - mmengine - INFO - Epoch(train) [487][60/63] lr: 1.0000e-06 eta: 7:35:05 time: 2.9450 data_time: 0.3182 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0603 loss: 0.1933 2022/08/27 09:02:33 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:04:16 - mmengine - INFO - Epoch(train) [488][5/63] lr: 1.0000e-06 eta: 7:35:05 time: 11.7325 data_time: 9.2456 memory: 28971 loss_text: 0.1529 loss_kernel: 0.0710 loss: 0.2239 2022/08/27 09:04:22 - mmengine - INFO - Epoch(train) [488][10/63] lr: 1.0000e-06 eta: 7:34:29 time: 10.8620 data_time: 9.2028 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0642 loss: 0.2009 2022/08/27 09:04:38 - mmengine - INFO - Epoch(train) [488][15/63] lr: 1.0000e-06 eta: 7:34:29 time: 2.1938 data_time: 0.0849 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0562 loss: 0.1737 2022/08/27 09:04:43 - mmengine - INFO - Epoch(train) [488][20/63] lr: 1.0000e-06 eta: 7:33:46 time: 2.1863 data_time: 0.1011 memory: 28971 loss_text: 0.1094 loss_kernel: 0.0526 loss: 0.1620 2022/08/27 09:05:01 - mmengine - INFO - Epoch(train) [488][25/63] lr: 1.0000e-06 eta: 7:33:46 time: 2.3440 data_time: 0.1295 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0600 loss: 0.1894 2022/08/27 09:05:14 - mmengine - INFO - Epoch(train) [488][30/63] lr: 1.0000e-06 eta: 7:33:06 time: 2.9751 data_time: 0.1038 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0588 loss: 0.1881 2022/08/27 09:05:23 - mmengine - INFO - Epoch(train) [488][35/63] lr: 1.0000e-06 eta: 7:33:06 time: 2.1427 data_time: 0.2101 memory: 28971 loss_text: 0.1136 loss_kernel: 0.0530 loss: 0.1666 2022/08/27 09:05:27 - mmengine - INFO - Epoch(train) [488][40/63] lr: 1.0000e-06 eta: 7:32:22 time: 1.3801 data_time: 0.1802 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0595 loss: 0.1845 2022/08/27 09:05:44 - mmengine - INFO - Epoch(train) [488][45/63] lr: 1.0000e-06 eta: 7:32:22 time: 2.1254 data_time: 0.0883 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0654 loss: 0.2062 2022/08/27 09:05:49 - mmengine - INFO - Epoch(train) [488][50/63] lr: 1.0000e-06 eta: 7:31:40 time: 2.1973 data_time: 0.1451 memory: 28971 loss_text: 0.1097 loss_kernel: 0.0520 loss: 0.1616 2022/08/27 09:06:02 - mmengine - INFO - Epoch(train) [488][55/63] lr: 1.0000e-06 eta: 7:31:40 time: 1.7787 data_time: 0.0783 memory: 28971 loss_text: 0.1004 loss_kernel: 0.0482 loss: 0.1486 2022/08/27 09:06:14 - mmengine - INFO - Epoch(train) [488][60/63] lr: 1.0000e-06 eta: 7:30:58 time: 2.4299 data_time: 0.0743 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0601 loss: 0.1890 2022/08/27 09:06:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:07:54 - mmengine - INFO - Epoch(train) [489][5/63] lr: 1.0000e-06 eta: 7:30:58 time: 10.7731 data_time: 8.7982 memory: 28971 loss_text: 0.1110 loss_kernel: 0.0538 loss: 0.1648 2022/08/27 09:07:58 - mmengine - INFO - Epoch(train) [489][10/63] lr: 1.0000e-06 eta: 7:30:19 time: 9.6945 data_time: 8.6343 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0579 loss: 0.1787 2022/08/27 09:08:05 - mmengine - INFO - Epoch(train) [489][15/63] lr: 1.0000e-06 eta: 7:30:19 time: 1.0951 data_time: 0.0298 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0646 loss: 0.2017 2022/08/27 09:08:11 - mmengine - INFO - Epoch(train) [489][20/63] lr: 1.0000e-06 eta: 7:29:35 time: 1.2489 data_time: 0.0307 memory: 28971 loss_text: 0.1447 loss_kernel: 0.0680 loss: 0.2127 2022/08/27 09:08:16 - mmengine - INFO - Epoch(train) [489][25/63] lr: 1.0000e-06 eta: 7:29:35 time: 1.0698 data_time: 0.0388 memory: 28971 loss_text: 0.1441 loss_kernel: 0.0672 loss: 0.2114 2022/08/27 09:08:21 - mmengine - INFO - Epoch(train) [489][30/63] lr: 1.0000e-06 eta: 7:28:50 time: 1.0299 data_time: 0.0292 memory: 28971 loss_text: 0.1400 loss_kernel: 0.0654 loss: 0.2054 2022/08/27 09:08:27 - mmengine - INFO - Epoch(train) [489][35/63] lr: 1.0000e-06 eta: 7:28:50 time: 1.0904 data_time: 0.0684 memory: 28971 loss_text: 0.1555 loss_kernel: 0.0712 loss: 0.2268 2022/08/27 09:08:31 - mmengine - INFO - Epoch(train) [489][40/63] lr: 1.0000e-06 eta: 7:28:05 time: 0.9950 data_time: 0.0665 memory: 28971 loss_text: 0.1472 loss_kernel: 0.0676 loss: 0.2148 2022/08/27 09:08:37 - mmengine - INFO - Epoch(train) [489][45/63] lr: 1.0000e-06 eta: 7:28:05 time: 1.0468 data_time: 0.0315 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0568 loss: 0.1776 2022/08/27 09:08:43 - mmengine - INFO - Epoch(train) [489][50/63] lr: 1.0000e-06 eta: 7:27:21 time: 1.1472 data_time: 0.0531 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0571 loss: 0.1786 2022/08/27 09:08:47 - mmengine - INFO - Epoch(train) [489][55/63] lr: 1.0000e-06 eta: 7:27:21 time: 1.0042 data_time: 0.0461 memory: 28971 loss_text: 0.1167 loss_kernel: 0.0559 loss: 0.1726 2022/08/27 09:08:53 - mmengine - INFO - Epoch(train) [489][60/63] lr: 1.0000e-06 eta: 7:26:36 time: 1.0761 data_time: 0.0454 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0587 loss: 0.1822 2022/08/27 09:08:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:10:27 - mmengine - INFO - Epoch(train) [490][5/63] lr: 1.0000e-06 eta: 7:26:36 time: 9.5420 data_time: 8.3654 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0638 loss: 0.2019 2022/08/27 09:10:32 - mmengine - INFO - Epoch(train) [490][10/63] lr: 1.0000e-06 eta: 7:25:57 time: 9.5590 data_time: 8.3854 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0719 loss: 0.2271 2022/08/27 09:10:37 - mmengine - INFO - Epoch(train) [490][15/63] lr: 1.0000e-06 eta: 7:25:57 time: 0.9815 data_time: 0.0317 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0612 loss: 0.1909 2022/08/27 09:10:43 - mmengine - INFO - Epoch(train) [490][20/63] lr: 1.0000e-06 eta: 7:25:13 time: 1.1626 data_time: 0.0370 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0545 loss: 0.1677 2022/08/27 09:10:48 - mmengine - INFO - Epoch(train) [490][25/63] lr: 1.0000e-06 eta: 7:25:13 time: 1.1250 data_time: 0.0625 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0635 loss: 0.1980 2022/08/27 09:10:53 - mmengine - INFO - Epoch(train) [490][30/63] lr: 1.0000e-06 eta: 7:24:28 time: 0.9699 data_time: 0.0342 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0629 loss: 0.1969 2022/08/27 09:10:59 - mmengine - INFO - Epoch(train) [490][35/63] lr: 1.0000e-06 eta: 7:24:28 time: 1.0306 data_time: 0.0426 memory: 28971 loss_text: 0.1293 loss_kernel: 0.0604 loss: 0.1897 2022/08/27 09:11:06 - mmengine - INFO - Epoch(train) [490][40/63] lr: 1.0000e-06 eta: 7:23:44 time: 1.2995 data_time: 0.0994 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0612 loss: 0.1891 2022/08/27 09:11:18 - mmengine - INFO - Epoch(train) [490][45/63] lr: 1.0000e-06 eta: 7:23:44 time: 1.9425 data_time: 0.0778 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0654 loss: 0.2024 2022/08/27 09:11:27 - mmengine - INFO - Epoch(train) [490][50/63] lr: 1.0000e-06 eta: 7:23:02 time: 2.1100 data_time: 0.0642 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0543 loss: 0.1676 2022/08/27 09:11:42 - mmengine - INFO - Epoch(train) [490][55/63] lr: 1.0000e-06 eta: 7:23:02 time: 2.3896 data_time: 0.0537 memory: 28971 loss_text: 0.0788 loss_kernel: 0.0400 loss: 0.1189 2022/08/27 09:12:02 - mmengine - INFO - Epoch(train) [490][60/63] lr: 1.0000e-06 eta: 7:22:23 time: 3.4215 data_time: 0.0496 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0574 loss: 0.1776 2022/08/27 09:12:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:13:56 - mmengine - INFO - Epoch(train) [491][5/63] lr: 1.0000e-06 eta: 7:22:23 time: 12.9684 data_time: 9.2661 memory: 28971 loss_text: 0.1625 loss_kernel: 0.0747 loss: 0.2372 2022/08/27 09:14:02 - mmengine - INFO - Epoch(train) [491][10/63] lr: 1.0000e-06 eta: 7:21:46 time: 10.9562 data_time: 9.2485 memory: 28971 loss_text: 0.1617 loss_kernel: 0.0743 loss: 0.2360 2022/08/27 09:14:16 - mmengine - INFO - Epoch(train) [491][15/63] lr: 1.0000e-06 eta: 7:21:46 time: 2.0107 data_time: 0.1164 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0599 loss: 0.1860 2022/08/27 09:14:21 - mmengine - INFO - Epoch(train) [491][20/63] lr: 1.0000e-06 eta: 7:21:04 time: 1.9376 data_time: 0.1165 memory: 28971 loss_text: 0.1050 loss_kernel: 0.0518 loss: 0.1568 2022/08/27 09:14:35 - mmengine - INFO - Epoch(train) [491][25/63] lr: 1.0000e-06 eta: 7:21:04 time: 1.9154 data_time: 0.1370 memory: 28971 loss_text: 0.0970 loss_kernel: 0.0476 loss: 0.1446 2022/08/27 09:14:39 - mmengine - INFO - Epoch(train) [491][30/63] lr: 1.0000e-06 eta: 7:20:21 time: 1.8274 data_time: 0.1035 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0603 loss: 0.1896 2022/08/27 09:14:56 - mmengine - INFO - Epoch(train) [491][35/63] lr: 1.0000e-06 eta: 7:20:21 time: 2.0617 data_time: 0.0688 memory: 28971 loss_text: 0.1606 loss_kernel: 0.0738 loss: 0.2343 2022/08/27 09:15:01 - mmengine - INFO - Epoch(train) [491][40/63] lr: 1.0000e-06 eta: 7:19:39 time: 2.1507 data_time: 0.1155 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0664 loss: 0.2086 2022/08/27 09:15:14 - mmengine - INFO - Epoch(train) [491][45/63] lr: 1.0000e-06 eta: 7:19:39 time: 1.8185 data_time: 0.1118 memory: 28971 loss_text: 0.1567 loss_kernel: 0.0720 loss: 0.2288 2022/08/27 09:15:19 - mmengine - INFO - Epoch(train) [491][50/63] lr: 1.0000e-06 eta: 7:18:56 time: 1.7691 data_time: 0.0994 memory: 28971 loss_text: 0.1611 loss_kernel: 0.0737 loss: 0.2347 2022/08/27 09:15:32 - mmengine - INFO - Epoch(train) [491][55/63] lr: 1.0000e-06 eta: 7:18:56 time: 1.7995 data_time: 0.0704 memory: 28971 loss_text: 0.1399 loss_kernel: 0.0652 loss: 0.2051 2022/08/27 09:15:41 - mmengine - INFO - Epoch(train) [491][60/63] lr: 1.0000e-06 eta: 7:18:14 time: 2.2158 data_time: 0.0754 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0594 loss: 0.1855 2022/08/27 09:15:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:17:27 - mmengine - INFO - Epoch(train) [492][5/63] lr: 1.0000e-06 eta: 7:18:14 time: 10.7239 data_time: 9.0381 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0587 loss: 0.1810 2022/08/27 09:17:32 - mmengine - INFO - Epoch(train) [492][10/63] lr: 1.0000e-06 eta: 7:17:37 time: 10.7161 data_time: 9.0618 memory: 28971 loss_text: 0.1234 loss_kernel: 0.0587 loss: 0.1822 2022/08/27 09:17:46 - mmengine - INFO - Epoch(train) [492][15/63] lr: 1.0000e-06 eta: 7:17:37 time: 1.9522 data_time: 0.0888 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0662 loss: 0.2092 2022/08/27 09:17:51 - mmengine - INFO - Epoch(train) [492][20/63] lr: 1.0000e-06 eta: 7:16:55 time: 1.8956 data_time: 0.1026 memory: 28971 loss_text: 0.1264 loss_kernel: 0.0597 loss: 0.1862 2022/08/27 09:18:06 - mmengine - INFO - Epoch(train) [492][25/63] lr: 1.0000e-06 eta: 7:16:55 time: 2.0163 data_time: 0.1431 memory: 28971 loss_text: 0.1171 loss_kernel: 0.0560 loss: 0.1731 2022/08/27 09:18:11 - mmengine - INFO - Epoch(train) [492][30/63] lr: 1.0000e-06 eta: 7:16:12 time: 1.9977 data_time: 0.1132 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0617 loss: 0.1932 2022/08/27 09:18:26 - mmengine - INFO - Epoch(train) [492][35/63] lr: 1.0000e-06 eta: 7:16:12 time: 1.9568 data_time: 0.1317 memory: 28971 loss_text: 0.1154 loss_kernel: 0.0544 loss: 0.1698 2022/08/27 09:18:30 - mmengine - INFO - Epoch(train) [492][40/63] lr: 1.0000e-06 eta: 7:15:30 time: 1.9276 data_time: 0.1286 memory: 28971 loss_text: 0.1089 loss_kernel: 0.0519 loss: 0.1608 2022/08/27 09:18:45 - mmengine - INFO - Epoch(train) [492][45/63] lr: 1.0000e-06 eta: 7:15:30 time: 1.8724 data_time: 0.0715 memory: 28971 loss_text: 0.1019 loss_kernel: 0.0496 loss: 0.1515 2022/08/27 09:18:50 - mmengine - INFO - Epoch(train) [492][50/63] lr: 1.0000e-06 eta: 7:14:47 time: 1.9754 data_time: 0.0999 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0558 loss: 0.1693 2022/08/27 09:19:07 - mmengine - INFO - Epoch(train) [492][55/63] lr: 1.0000e-06 eta: 7:14:47 time: 2.1664 data_time: 0.0724 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0676 loss: 0.2089 2022/08/27 09:19:11 - mmengine - INFO - Epoch(train) [492][60/63] lr: 1.0000e-06 eta: 7:14:05 time: 2.1387 data_time: 0.1152 memory: 28971 loss_text: 0.1275 loss_kernel: 0.0599 loss: 0.1875 2022/08/27 09:19:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:20:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:20:59 - mmengine - INFO - Epoch(train) [493][5/63] lr: 1.0000e-06 eta: 7:14:05 time: 10.9081 data_time: 9.0707 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0628 loss: 0.1958 2022/08/27 09:21:04 - mmengine - INFO - Epoch(train) [493][10/63] lr: 1.0000e-06 eta: 7:13:28 time: 10.7287 data_time: 9.0912 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0679 loss: 0.2132 2022/08/27 09:21:16 - mmengine - INFO - Epoch(train) [493][15/63] lr: 1.0000e-06 eta: 7:13:28 time: 1.6510 data_time: 0.0586 memory: 28971 loss_text: 0.1497 loss_kernel: 0.0699 loss: 0.2196 2022/08/27 09:21:21 - mmengine - INFO - Epoch(train) [493][20/63] lr: 1.0000e-06 eta: 7:12:45 time: 1.6422 data_time: 0.0924 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0617 loss: 0.1902 2022/08/27 09:21:34 - mmengine - INFO - Epoch(train) [493][25/63] lr: 1.0000e-06 eta: 7:12:45 time: 1.7776 data_time: 0.1109 memory: 28971 loss_text: 0.1196 loss_kernel: 0.0571 loss: 0.1768 2022/08/27 09:21:40 - mmengine - INFO - Epoch(train) [493][30/63] lr: 1.0000e-06 eta: 7:12:03 time: 1.9876 data_time: 0.1039 memory: 28971 loss_text: 0.1389 loss_kernel: 0.0645 loss: 0.2034 2022/08/27 09:21:55 - mmengine - INFO - Epoch(train) [493][35/63] lr: 1.0000e-06 eta: 7:12:03 time: 2.1565 data_time: 0.1039 memory: 28971 loss_text: 0.1332 loss_kernel: 0.0626 loss: 0.1959 2022/08/27 09:22:00 - mmengine - INFO - Epoch(train) [493][40/63] lr: 1.0000e-06 eta: 7:11:21 time: 1.9734 data_time: 0.0871 memory: 28971 loss_text: 0.1123 loss_kernel: 0.0548 loss: 0.1672 2022/08/27 09:22:15 - mmengine - INFO - Epoch(train) [493][45/63] lr: 1.0000e-06 eta: 7:11:21 time: 1.9911 data_time: 0.1400 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0645 loss: 0.2018 2022/08/27 09:22:20 - mmengine - INFO - Epoch(train) [493][50/63] lr: 1.0000e-06 eta: 7:10:38 time: 1.9668 data_time: 0.1424 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0656 loss: 0.2079 2022/08/27 09:22:35 - mmengine - INFO - Epoch(train) [493][55/63] lr: 1.0000e-06 eta: 7:10:38 time: 1.9729 data_time: 0.0874 memory: 28971 loss_text: 0.1088 loss_kernel: 0.0517 loss: 0.1605 2022/08/27 09:22:41 - mmengine - INFO - Epoch(train) [493][60/63] lr: 1.0000e-06 eta: 7:09:56 time: 2.1121 data_time: 0.2125 memory: 28971 loss_text: 0.1167 loss_kernel: 0.0555 loss: 0.1723 2022/08/27 09:22:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:24:36 - mmengine - INFO - Epoch(train) [494][5/63] lr: 1.0000e-06 eta: 7:09:56 time: 11.5989 data_time: 9.3066 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0612 loss: 0.1912 2022/08/27 09:24:42 - mmengine - INFO - Epoch(train) [494][10/63] lr: 1.0000e-06 eta: 7:09:19 time: 10.8730 data_time: 9.3292 memory: 28971 loss_text: 0.1257 loss_kernel: 0.0595 loss: 0.1852 2022/08/27 09:24:59 - mmengine - INFO - Epoch(train) [494][15/63] lr: 1.0000e-06 eta: 7:09:19 time: 2.3245 data_time: 0.0801 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0636 loss: 0.1980 2022/08/27 09:25:04 - mmengine - INFO - Epoch(train) [494][20/63] lr: 1.0000e-06 eta: 7:08:38 time: 2.2724 data_time: 0.1037 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0655 loss: 0.2057 2022/08/27 09:25:19 - mmengine - INFO - Epoch(train) [494][25/63] lr: 1.0000e-06 eta: 7:08:38 time: 2.0065 data_time: 0.1144 memory: 28971 loss_text: 0.1105 loss_kernel: 0.0523 loss: 0.1628 2022/08/27 09:25:34 - mmengine - INFO - Epoch(train) [494][30/63] lr: 1.0000e-06 eta: 7:07:58 time: 2.9797 data_time: 0.0910 memory: 28971 loss_text: 0.0960 loss_kernel: 0.0458 loss: 0.1418 2022/08/27 09:25:40 - mmengine - INFO - Epoch(train) [494][35/63] lr: 1.0000e-06 eta: 7:07:58 time: 2.1084 data_time: 0.1306 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0530 loss: 0.1679 2022/08/27 09:25:54 - mmengine - INFO - Epoch(train) [494][40/63] lr: 1.0000e-06 eta: 7:07:15 time: 1.9235 data_time: 0.1264 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0641 loss: 0.2046 2022/08/27 09:26:06 - mmengine - INFO - Epoch(train) [494][45/63] lr: 1.0000e-06 eta: 7:07:15 time: 2.4883 data_time: 0.1118 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0672 loss: 0.2117 2022/08/27 09:26:15 - mmengine - INFO - Epoch(train) [494][50/63] lr: 1.0000e-06 eta: 7:06:33 time: 2.1615 data_time: 0.2380 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0627 loss: 0.1967 2022/08/27 09:26:31 - mmengine - INFO - Epoch(train) [494][55/63] lr: 1.0000e-06 eta: 7:06:33 time: 2.5417 data_time: 0.2018 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0600 loss: 0.1885 2022/08/27 09:26:37 - mmengine - INFO - Epoch(train) [494][60/63] lr: 1.0000e-06 eta: 7:05:52 time: 2.1822 data_time: 0.1481 memory: 28971 loss_text: 0.1048 loss_kernel: 0.0504 loss: 0.1552 2022/08/27 09:26:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:28:36 - mmengine - INFO - Epoch(train) [495][5/63] lr: 1.0000e-06 eta: 7:05:52 time: 12.0887 data_time: 9.2596 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0536 loss: 0.1677 2022/08/27 09:28:44 - mmengine - INFO - Epoch(train) [495][10/63] lr: 1.0000e-06 eta: 7:05:15 time: 11.2397 data_time: 9.2678 memory: 28971 loss_text: 0.1120 loss_kernel: 0.0546 loss: 0.1667 2022/08/27 09:28:57 - mmengine - INFO - Epoch(train) [495][15/63] lr: 1.0000e-06 eta: 7:05:15 time: 2.0580 data_time: 0.1394 memory: 28971 loss_text: 0.1064 loss_kernel: 0.0525 loss: 0.1589 2022/08/27 09:29:07 - mmengine - INFO - Epoch(train) [495][20/63] lr: 1.0000e-06 eta: 7:04:34 time: 2.3326 data_time: 0.1490 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0583 loss: 0.1808 2022/08/27 09:29:19 - mmengine - INFO - Epoch(train) [495][25/63] lr: 1.0000e-06 eta: 7:04:34 time: 2.2349 data_time: 0.1388 memory: 28971 loss_text: 0.1474 loss_kernel: 0.0680 loss: 0.2154 2022/08/27 09:29:24 - mmengine - INFO - Epoch(train) [495][30/63] lr: 1.0000e-06 eta: 7:03:51 time: 1.6621 data_time: 0.1336 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0649 loss: 0.2053 2022/08/27 09:29:40 - mmengine - INFO - Epoch(train) [495][35/63] lr: 1.0000e-06 eta: 7:03:51 time: 2.0896 data_time: 0.1220 memory: 28971 loss_text: 0.1011 loss_kernel: 0.0489 loss: 0.1500 2022/08/27 09:29:45 - mmengine - INFO - Epoch(train) [495][40/63] lr: 1.0000e-06 eta: 7:03:09 time: 2.0631 data_time: 0.1132 memory: 28971 loss_text: 0.1025 loss_kernel: 0.0486 loss: 0.1512 2022/08/27 09:30:05 - mmengine - INFO - Epoch(train) [495][45/63] lr: 1.0000e-06 eta: 7:03:09 time: 2.4631 data_time: 0.0818 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0655 loss: 0.2071 2022/08/27 09:30:09 - mmengine - INFO - Epoch(train) [495][50/63] lr: 1.0000e-06 eta: 7:02:28 time: 2.4525 data_time: 0.0737 memory: 28971 loss_text: 0.1400 loss_kernel: 0.0668 loss: 0.2068 2022/08/27 09:30:23 - mmengine - INFO - Epoch(train) [495][55/63] lr: 1.0000e-06 eta: 7:02:28 time: 1.8702 data_time: 0.1520 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0605 loss: 0.1872 2022/08/27 09:30:28 - mmengine - INFO - Epoch(train) [495][60/63] lr: 1.0000e-06 eta: 7:01:46 time: 1.9057 data_time: 0.1673 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0649 loss: 0.2030 2022/08/27 09:30:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:32:16 - mmengine - INFO - Epoch(train) [496][5/63] lr: 1.0000e-06 eta: 7:01:46 time: 10.9523 data_time: 9.3188 memory: 28971 loss_text: 0.1578 loss_kernel: 0.0726 loss: 0.2304 2022/08/27 09:32:21 - mmengine - INFO - Epoch(train) [496][10/63] lr: 1.0000e-06 eta: 7:01:09 time: 10.9702 data_time: 9.3797 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0536 loss: 0.1692 2022/08/27 09:32:35 - mmengine - INFO - Epoch(train) [496][15/63] lr: 1.0000e-06 eta: 7:01:09 time: 1.8883 data_time: 0.1302 memory: 28971 loss_text: 0.0793 loss_kernel: 0.0399 loss: 0.1192 2022/08/27 09:32:40 - mmengine - INFO - Epoch(train) [496][20/63] lr: 1.0000e-06 eta: 7:00:26 time: 1.8796 data_time: 0.0997 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0656 loss: 0.2057 2022/08/27 09:32:54 - mmengine - INFO - Epoch(train) [496][25/63] lr: 1.0000e-06 eta: 7:00:26 time: 1.9425 data_time: 0.1565 memory: 28971 loss_text: 0.1743 loss_kernel: 0.0797 loss: 0.2540 2022/08/27 09:32:59 - mmengine - INFO - Epoch(train) [496][30/63] lr: 1.0000e-06 eta: 6:59:44 time: 1.8975 data_time: 0.1550 memory: 28971 loss_text: 0.1685 loss_kernel: 0.0770 loss: 0.2455 2022/08/27 09:33:18 - mmengine - INFO - Epoch(train) [496][35/63] lr: 1.0000e-06 eta: 6:59:44 time: 2.3133 data_time: 0.0820 memory: 28971 loss_text: 0.1198 loss_kernel: 0.0561 loss: 0.1759 2022/08/27 09:33:23 - mmengine - INFO - Epoch(train) [496][40/63] lr: 1.0000e-06 eta: 6:59:03 time: 2.4004 data_time: 0.1320 memory: 28971 loss_text: 0.1110 loss_kernel: 0.0522 loss: 0.1632 2022/08/27 09:33:40 - mmengine - INFO - Epoch(train) [496][45/63] lr: 1.0000e-06 eta: 6:59:03 time: 2.1978 data_time: 0.2237 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0692 loss: 0.2194 2022/08/27 09:33:45 - mmengine - INFO - Epoch(train) [496][50/63] lr: 1.0000e-06 eta: 6:58:21 time: 2.2202 data_time: 0.1783 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0652 loss: 0.2033 2022/08/27 09:34:01 - mmengine - INFO - Epoch(train) [496][55/63] lr: 1.0000e-06 eta: 6:58:21 time: 2.1214 data_time: 0.0710 memory: 28971 loss_text: 0.1562 loss_kernel: 0.0730 loss: 0.2292 2022/08/27 09:34:06 - mmengine - INFO - Epoch(train) [496][60/63] lr: 1.0000e-06 eta: 6:57:39 time: 2.1217 data_time: 0.1600 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0668 loss: 0.2080 2022/08/27 09:34:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:36:04 - mmengine - INFO - Epoch(train) [497][5/63] lr: 1.0000e-06 eta: 6:57:39 time: 11.8690 data_time: 9.2404 memory: 28971 loss_text: 0.1173 loss_kernel: 0.0559 loss: 0.1732 2022/08/27 09:36:09 - mmengine - INFO - Epoch(train) [497][10/63] lr: 1.0000e-06 eta: 6:57:02 time: 10.8629 data_time: 9.2735 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0653 loss: 0.2038 2022/08/27 09:36:24 - mmengine - INFO - Epoch(train) [497][15/63] lr: 1.0000e-06 eta: 6:57:02 time: 2.0540 data_time: 0.1167 memory: 28971 loss_text: 0.1118 loss_kernel: 0.0538 loss: 0.1656 2022/08/27 09:36:29 - mmengine - INFO - Epoch(train) [497][20/63] lr: 1.0000e-06 eta: 6:56:20 time: 2.0365 data_time: 0.1163 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0581 loss: 0.1829 2022/08/27 09:36:41 - mmengine - INFO - Epoch(train) [497][25/63] lr: 1.0000e-06 eta: 6:56:20 time: 1.6473 data_time: 0.0683 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0614 loss: 0.1944 2022/08/27 09:36:48 - mmengine - INFO - Epoch(train) [497][30/63] lr: 1.0000e-06 eta: 6:55:38 time: 1.8986 data_time: 0.0494 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0549 loss: 0.1704 2022/08/27 09:36:58 - mmengine - INFO - Epoch(train) [497][35/63] lr: 1.0000e-06 eta: 6:55:38 time: 1.6769 data_time: 0.0873 memory: 28971 loss_text: 0.1137 loss_kernel: 0.0550 loss: 0.1687 2022/08/27 09:37:04 - mmengine - INFO - Epoch(train) [497][40/63] lr: 1.0000e-06 eta: 6:54:55 time: 1.5344 data_time: 0.0993 memory: 28971 loss_text: 0.1182 loss_kernel: 0.0566 loss: 0.1747 2022/08/27 09:37:09 - mmengine - INFO - Epoch(train) [497][45/63] lr: 1.0000e-06 eta: 6:54:55 time: 1.1259 data_time: 0.0657 memory: 28971 loss_text: 0.1200 loss_kernel: 0.0569 loss: 0.1769 2022/08/27 09:37:20 - mmengine - INFO - Epoch(train) [497][50/63] lr: 1.0000e-06 eta: 6:54:12 time: 1.6006 data_time: 0.1047 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0595 loss: 0.1842 2022/08/27 09:37:25 - mmengine - INFO - Epoch(train) [497][55/63] lr: 1.0000e-06 eta: 6:54:12 time: 1.5891 data_time: 0.1196 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0696 loss: 0.2192 2022/08/27 09:37:41 - mmengine - INFO - Epoch(train) [497][60/63] lr: 1.0000e-06 eta: 6:53:30 time: 2.1327 data_time: 0.1925 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0677 loss: 0.2129 2022/08/27 09:37:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:39:34 - mmengine - INFO - Epoch(train) [498][5/63] lr: 1.0000e-06 eta: 6:53:30 time: 11.4658 data_time: 9.3239 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0565 loss: 0.1741 2022/08/27 09:39:39 - mmengine - INFO - Epoch(train) [498][10/63] lr: 1.0000e-06 eta: 6:52:54 time: 11.4106 data_time: 9.2931 memory: 28971 loss_text: 0.1100 loss_kernel: 0.0534 loss: 0.1633 2022/08/27 09:39:53 - mmengine - INFO - Epoch(train) [498][15/63] lr: 1.0000e-06 eta: 6:52:54 time: 1.8575 data_time: 0.0639 memory: 28971 loss_text: 0.1073 loss_kernel: 0.0518 loss: 0.1591 2022/08/27 09:39:58 - mmengine - INFO - Epoch(train) [498][20/63] lr: 1.0000e-06 eta: 6:52:11 time: 1.8733 data_time: 0.0930 memory: 28971 loss_text: 0.0960 loss_kernel: 0.0465 loss: 0.1425 2022/08/27 09:40:13 - mmengine - INFO - Epoch(train) [498][25/63] lr: 1.0000e-06 eta: 6:52:11 time: 1.9936 data_time: 0.1444 memory: 28971 loss_text: 0.0999 loss_kernel: 0.0478 loss: 0.1477 2022/08/27 09:40:17 - mmengine - INFO - Epoch(train) [498][30/63] lr: 1.0000e-06 eta: 6:51:29 time: 1.9562 data_time: 0.1191 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0513 loss: 0.1631 2022/08/27 09:40:31 - mmengine - INFO - Epoch(train) [498][35/63] lr: 1.0000e-06 eta: 6:51:29 time: 1.7936 data_time: 0.0755 memory: 28971 loss_text: 0.1333 loss_kernel: 0.0611 loss: 0.1944 2022/08/27 09:40:35 - mmengine - INFO - Epoch(train) [498][40/63] lr: 1.0000e-06 eta: 6:50:47 time: 1.8028 data_time: 0.1018 memory: 28971 loss_text: 0.1721 loss_kernel: 0.0797 loss: 0.2519 2022/08/27 09:40:48 - mmengine - INFO - Epoch(train) [498][45/63] lr: 1.0000e-06 eta: 6:50:47 time: 1.6825 data_time: 0.1041 memory: 28971 loss_text: 0.1685 loss_kernel: 0.0782 loss: 0.2467 2022/08/27 09:40:55 - mmengine - INFO - Epoch(train) [498][50/63] lr: 1.0000e-06 eta: 6:50:05 time: 1.9219 data_time: 0.2282 memory: 28971 loss_text: 0.1180 loss_kernel: 0.0561 loss: 0.1740 2022/08/27 09:40:59 - mmengine - INFO - Epoch(train) [498][55/63] lr: 1.0000e-06 eta: 6:50:05 time: 1.2070 data_time: 0.2156 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0582 loss: 0.1807 2022/08/27 09:41:15 - mmengine - INFO - Epoch(train) [498][60/63] lr: 1.0000e-06 eta: 6:49:23 time: 1.9929 data_time: 0.1201 memory: 28971 loss_text: 0.1600 loss_kernel: 0.0730 loss: 0.2329 2022/08/27 09:41:18 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:43:02 - mmengine - INFO - Epoch(train) [499][5/63] lr: 1.0000e-06 eta: 6:49:23 time: 10.8909 data_time: 9.1740 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0587 loss: 0.1837 2022/08/27 09:43:08 - mmengine - INFO - Epoch(train) [499][10/63] lr: 1.0000e-06 eta: 6:48:45 time: 10.9807 data_time: 9.1965 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0664 loss: 0.2071 2022/08/27 09:43:25 - mmengine - INFO - Epoch(train) [499][15/63] lr: 1.0000e-06 eta: 6:48:45 time: 2.2596 data_time: 0.1243 memory: 28971 loss_text: 0.1201 loss_kernel: 0.0581 loss: 0.1782 2022/08/27 09:43:42 - mmengine - INFO - Epoch(train) [499][20/63] lr: 1.0000e-06 eta: 6:48:06 time: 3.3679 data_time: 0.1480 memory: 28971 loss_text: 0.0937 loss_kernel: 0.0464 loss: 0.1402 2022/08/27 09:43:47 - mmengine - INFO - Epoch(train) [499][25/63] lr: 1.0000e-06 eta: 6:48:06 time: 2.2145 data_time: 0.1383 memory: 28971 loss_text: 0.1170 loss_kernel: 0.0562 loss: 0.1732 2022/08/27 09:44:00 - mmengine - INFO - Epoch(train) [499][30/63] lr: 1.0000e-06 eta: 6:47:24 time: 1.7889 data_time: 0.0820 memory: 28971 loss_text: 0.1307 loss_kernel: 0.0618 loss: 0.1925 2022/08/27 09:44:15 - mmengine - INFO - Epoch(train) [499][35/63] lr: 1.0000e-06 eta: 6:47:24 time: 2.8007 data_time: 0.0890 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0630 loss: 0.1978 2022/08/27 09:44:19 - mmengine - INFO - Epoch(train) [499][40/63] lr: 1.0000e-06 eta: 6:46:42 time: 1.9855 data_time: 0.1188 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0668 loss: 0.2130 2022/08/27 09:44:36 - mmengine - INFO - Epoch(train) [499][45/63] lr: 1.0000e-06 eta: 6:46:42 time: 2.0795 data_time: 0.0773 memory: 28971 loss_text: 0.1519 loss_kernel: 0.0691 loss: 0.2210 2022/08/27 09:44:54 - mmengine - INFO - Epoch(train) [499][50/63] lr: 1.0000e-06 eta: 6:46:03 time: 3.4154 data_time: 0.2330 memory: 28971 loss_text: 0.1282 loss_kernel: 0.0594 loss: 0.1876 2022/08/27 09:45:08 - mmengine - INFO - Epoch(train) [499][55/63] lr: 1.0000e-06 eta: 6:46:03 time: 3.2041 data_time: 0.2899 memory: 28971 loss_text: 0.1066 loss_kernel: 0.0499 loss: 0.1565 2022/08/27 09:45:17 - mmengine - INFO - Epoch(train) [499][60/63] lr: 1.0000e-06 eta: 6:45:22 time: 2.3366 data_time: 0.3011 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0574 loss: 0.1827 2022/08/27 09:45:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:47:16 - mmengine - INFO - Epoch(train) [500][5/63] lr: 1.0000e-06 eta: 6:45:22 time: 12.0287 data_time: 9.1808 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0574 loss: 0.1788 2022/08/27 09:47:21 - mmengine - INFO - Epoch(train) [500][10/63] lr: 1.0000e-06 eta: 6:44:44 time: 10.8964 data_time: 9.2022 memory: 28971 loss_text: 0.1520 loss_kernel: 0.0698 loss: 0.2218 2022/08/27 09:47:35 - mmengine - INFO - Epoch(train) [500][15/63] lr: 1.0000e-06 eta: 6:44:44 time: 1.9105 data_time: 0.1077 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0607 loss: 0.1927 2022/08/27 09:47:40 - mmengine - INFO - Epoch(train) [500][20/63] lr: 1.0000e-06 eta: 6:44:02 time: 1.8604 data_time: 0.1310 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0619 loss: 0.1947 2022/08/27 09:47:54 - mmengine - INFO - Epoch(train) [500][25/63] lr: 1.0000e-06 eta: 6:44:02 time: 1.9403 data_time: 0.1272 memory: 28971 loss_text: 0.1231 loss_kernel: 0.0597 loss: 0.1828 2022/08/27 09:47:59 - mmengine - INFO - Epoch(train) [500][30/63] lr: 1.0000e-06 eta: 6:43:20 time: 1.9476 data_time: 0.0984 memory: 28971 loss_text: 0.1161 loss_kernel: 0.0560 loss: 0.1720 2022/08/27 09:48:18 - mmengine - INFO - Epoch(train) [500][35/63] lr: 1.0000e-06 eta: 6:43:20 time: 2.3824 data_time: 0.1303 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0678 loss: 0.2143 2022/08/27 09:48:24 - mmengine - INFO - Epoch(train) [500][40/63] lr: 1.0000e-06 eta: 6:42:39 time: 2.4229 data_time: 0.1536 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0640 loss: 0.2018 2022/08/27 09:48:44 - mmengine - INFO - Epoch(train) [500][45/63] lr: 1.0000e-06 eta: 6:42:39 time: 2.6187 data_time: 0.3051 memory: 28971 loss_text: 0.0958 loss_kernel: 0.0470 loss: 0.1429 2022/08/27 09:48:50 - mmengine - INFO - Epoch(train) [500][50/63] lr: 1.0000e-06 eta: 6:41:58 time: 2.6214 data_time: 0.3135 memory: 28971 loss_text: 0.0955 loss_kernel: 0.0460 loss: 0.1415 2022/08/27 09:49:04 - mmengine - INFO - Epoch(train) [500][55/63] lr: 1.0000e-06 eta: 6:41:58 time: 1.9629 data_time: 0.1321 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0558 loss: 0.1774 2022/08/27 09:49:26 - mmengine - INFO - Epoch(train) [500][60/63] lr: 1.0000e-06 eta: 6:41:20 time: 3.6260 data_time: 0.2363 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0660 loss: 0.2103 2022/08/27 09:49:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:49:31 - mmengine - INFO - Saving checkpoint at 500 epochs 2022/08/27 09:51:16 - mmengine - INFO - Epoch(train) [501][5/63] lr: 1.0000e-06 eta: 6:41:20 time: 12.0417 data_time: 9.0422 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0579 loss: 0.1801 2022/08/27 09:51:21 - mmengine - INFO - Epoch(train) [501][10/63] lr: 1.0000e-06 eta: 6:40:40 time: 10.2253 data_time: 8.9638 memory: 28971 loss_text: 0.1090 loss_kernel: 0.0520 loss: 0.1611 2022/08/27 09:51:32 - mmengine - INFO - Epoch(train) [501][15/63] lr: 1.0000e-06 eta: 6:40:40 time: 1.5619 data_time: 0.0489 memory: 28971 loss_text: 0.1085 loss_kernel: 0.0519 loss: 0.1604 2022/08/27 09:51:36 - mmengine - INFO - Epoch(train) [501][20/63] lr: 1.0000e-06 eta: 6:39:58 time: 1.5702 data_time: 0.0530 memory: 28971 loss_text: 0.1153 loss_kernel: 0.0541 loss: 0.1694 2022/08/27 09:51:42 - mmengine - INFO - Epoch(train) [501][25/63] lr: 1.0000e-06 eta: 6:39:58 time: 1.0706 data_time: 0.0582 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0563 loss: 0.1765 2022/08/27 09:51:51 - mmengine - INFO - Epoch(train) [501][30/63] lr: 1.0000e-06 eta: 6:39:15 time: 1.4194 data_time: 0.0372 memory: 28971 loss_text: 0.1416 loss_kernel: 0.0665 loss: 0.2081 2022/08/27 09:51:56 - mmengine - INFO - Epoch(train) [501][35/63] lr: 1.0000e-06 eta: 6:39:15 time: 1.4008 data_time: 0.0592 memory: 28971 loss_text: 0.1400 loss_kernel: 0.0645 loss: 0.2045 2022/08/27 09:52:01 - mmengine - INFO - Epoch(train) [501][40/63] lr: 1.0000e-06 eta: 6:38:31 time: 1.0298 data_time: 0.0543 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0629 loss: 0.1974 2022/08/27 09:52:10 - mmengine - INFO - Epoch(train) [501][45/63] lr: 1.0000e-06 eta: 6:38:31 time: 1.3285 data_time: 0.0549 memory: 28971 loss_text: 0.1275 loss_kernel: 0.0608 loss: 0.1884 2022/08/27 09:52:14 - mmengine - INFO - Epoch(train) [501][50/63] lr: 1.0000e-06 eta: 6:37:48 time: 1.3247 data_time: 0.0739 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0591 loss: 0.1847 2022/08/27 09:52:19 - mmengine - INFO - Epoch(train) [501][55/63] lr: 1.0000e-06 eta: 6:37:48 time: 0.9555 data_time: 0.0397 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0555 loss: 0.1708 2022/08/27 09:52:27 - mmengine - INFO - Epoch(train) [501][60/63] lr: 1.0000e-06 eta: 6:37:05 time: 1.2756 data_time: 0.0321 memory: 28971 loss_text: 0.0940 loss_kernel: 0.0466 loss: 0.1406 2022/08/27 09:52:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:54:04 - mmengine - INFO - Epoch(train) [502][5/63] lr: 1.0000e-06 eta: 6:37:05 time: 9.9327 data_time: 8.4654 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0625 loss: 0.1961 2022/08/27 09:54:09 - mmengine - INFO - Epoch(train) [502][10/63] lr: 1.0000e-06 eta: 6:36:24 time: 9.7532 data_time: 8.4459 memory: 28971 loss_text: 0.1454 loss_kernel: 0.0673 loss: 0.2127 2022/08/27 09:54:18 - mmengine - INFO - Epoch(train) [502][15/63] lr: 1.0000e-06 eta: 6:36:24 time: 1.3912 data_time: 0.0982 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0573 loss: 0.1789 2022/08/27 09:54:23 - mmengine - INFO - Epoch(train) [502][20/63] lr: 1.0000e-06 eta: 6:35:42 time: 1.4163 data_time: 0.1073 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0595 loss: 0.1854 2022/08/27 09:54:32 - mmengine - INFO - Epoch(train) [502][25/63] lr: 1.0000e-06 eta: 6:35:42 time: 1.4137 data_time: 0.0537 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0597 loss: 0.1843 2022/08/27 09:54:37 - mmengine - INFO - Epoch(train) [502][30/63] lr: 1.0000e-06 eta: 6:34:59 time: 1.4288 data_time: 0.0301 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0581 loss: 0.1797 2022/08/27 09:54:42 - mmengine - INFO - Epoch(train) [502][35/63] lr: 1.0000e-06 eta: 6:34:59 time: 0.9203 data_time: 0.0349 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0563 loss: 0.1749 2022/08/27 09:54:50 - mmengine - INFO - Epoch(train) [502][40/63] lr: 1.0000e-06 eta: 6:34:16 time: 1.3010 data_time: 0.0423 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0679 loss: 0.2141 2022/08/27 09:54:55 - mmengine - INFO - Epoch(train) [502][45/63] lr: 1.0000e-06 eta: 6:34:16 time: 1.3168 data_time: 0.0500 memory: 28971 loss_text: 0.1514 loss_kernel: 0.0699 loss: 0.2213 2022/08/27 09:55:00 - mmengine - INFO - Epoch(train) [502][50/63] lr: 1.0000e-06 eta: 6:33:32 time: 0.9422 data_time: 0.0411 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0583 loss: 0.1829 2022/08/27 09:55:09 - mmengine - INFO - Epoch(train) [502][55/63] lr: 1.0000e-06 eta: 6:33:32 time: 1.4367 data_time: 0.0601 memory: 28971 loss_text: 0.1093 loss_kernel: 0.0521 loss: 0.1614 2022/08/27 09:55:14 - mmengine - INFO - Epoch(train) [502][60/63] lr: 1.0000e-06 eta: 6:32:49 time: 1.4316 data_time: 0.0822 memory: 28971 loss_text: 0.1158 loss_kernel: 0.0552 loss: 0.1710 2022/08/27 09:55:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 09:57:01 - mmengine - INFO - Epoch(train) [503][5/63] lr: 1.0000e-06 eta: 6:32:49 time: 10.8721 data_time: 9.2895 memory: 28971 loss_text: 0.1041 loss_kernel: 0.0499 loss: 0.1540 2022/08/27 09:57:07 - mmengine - INFO - Epoch(train) [503][10/63] lr: 1.0000e-06 eta: 6:32:11 time: 10.9497 data_time: 9.3315 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0576 loss: 0.1798 2022/08/27 09:57:20 - mmengine - INFO - Epoch(train) [503][15/63] lr: 1.0000e-06 eta: 6:32:11 time: 1.8708 data_time: 0.1051 memory: 28971 loss_text: 0.1043 loss_kernel: 0.0505 loss: 0.1548 2022/08/27 09:57:25 - mmengine - INFO - Epoch(train) [503][20/63] lr: 1.0000e-06 eta: 6:31:29 time: 1.8017 data_time: 0.1019 memory: 28971 loss_text: 0.1044 loss_kernel: 0.0503 loss: 0.1546 2022/08/27 09:57:36 - mmengine - INFO - Epoch(train) [503][25/63] lr: 1.0000e-06 eta: 6:31:29 time: 1.6251 data_time: 0.1177 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0613 loss: 0.1911 2022/08/27 09:57:41 - mmengine - INFO - Epoch(train) [503][30/63] lr: 1.0000e-06 eta: 6:30:47 time: 1.6751 data_time: 0.1214 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0684 loss: 0.2128 2022/08/27 09:57:56 - mmengine - INFO - Epoch(train) [503][35/63] lr: 1.0000e-06 eta: 6:30:47 time: 1.9119 data_time: 0.2005 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0687 loss: 0.2157 2022/08/27 09:58:08 - mmengine - INFO - Epoch(train) [503][40/63] lr: 1.0000e-06 eta: 6:30:06 time: 2.6217 data_time: 0.2068 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0666 loss: 0.2109 2022/08/27 09:58:19 - mmengine - INFO - Epoch(train) [503][45/63] lr: 1.0000e-06 eta: 6:30:06 time: 2.4034 data_time: 0.2119 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0643 loss: 0.2023 2022/08/27 09:58:36 - mmengine - INFO - Epoch(train) [503][50/63] lr: 1.0000e-06 eta: 6:29:26 time: 2.7975 data_time: 0.2388 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0605 loss: 0.1907 2022/08/27 09:58:42 - mmengine - INFO - Epoch(train) [503][55/63] lr: 1.0000e-06 eta: 6:29:26 time: 2.2340 data_time: 0.2196 memory: 28971 loss_text: 0.1095 loss_kernel: 0.0521 loss: 0.1616 2022/08/27 09:58:58 - mmengine - INFO - Epoch(train) [503][60/63] lr: 1.0000e-06 eta: 6:28:45 time: 2.2505 data_time: 0.2410 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0654 loss: 0.2086 2022/08/27 09:59:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:00:51 - mmengine - INFO - Epoch(train) [504][5/63] lr: 1.0000e-06 eta: 6:28:45 time: 11.3510 data_time: 9.5431 memory: 28971 loss_text: 0.1431 loss_kernel: 0.0666 loss: 0.2097 2022/08/27 10:00:56 - mmengine - INFO - Epoch(train) [504][10/63] lr: 1.0000e-06 eta: 6:28:08 time: 11.4070 data_time: 9.5648 memory: 28971 loss_text: 0.1412 loss_kernel: 0.0648 loss: 0.2060 2022/08/27 10:01:11 - mmengine - INFO - Epoch(train) [504][15/63] lr: 1.0000e-06 eta: 6:28:08 time: 2.0053 data_time: 0.0990 memory: 28971 loss_text: 0.1119 loss_kernel: 0.0521 loss: 0.1640 2022/08/27 10:01:16 - mmengine - INFO - Epoch(train) [504][20/63] lr: 1.0000e-06 eta: 6:27:26 time: 1.9411 data_time: 0.1196 memory: 28971 loss_text: 0.0912 loss_kernel: 0.0449 loss: 0.1362 2022/08/27 10:01:31 - mmengine - INFO - Epoch(train) [504][25/63] lr: 1.0000e-06 eta: 6:27:26 time: 1.9840 data_time: 0.1422 memory: 28971 loss_text: 0.1069 loss_kernel: 0.0510 loss: 0.1579 2022/08/27 10:01:35 - mmengine - INFO - Epoch(train) [504][30/63] lr: 1.0000e-06 eta: 6:26:44 time: 1.9429 data_time: 0.1122 memory: 28971 loss_text: 0.1290 loss_kernel: 0.0597 loss: 0.1888 2022/08/27 10:01:51 - mmengine - INFO - Epoch(train) [504][35/63] lr: 1.0000e-06 eta: 6:26:44 time: 2.0175 data_time: 0.1468 memory: 28971 loss_text: 0.1302 loss_kernel: 0.0614 loss: 0.1916 2022/08/27 10:01:56 - mmengine - INFO - Epoch(train) [504][40/63] lr: 1.0000e-06 eta: 6:26:03 time: 2.0827 data_time: 0.1421 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0608 loss: 0.1893 2022/08/27 10:02:10 - mmengine - INFO - Epoch(train) [504][45/63] lr: 1.0000e-06 eta: 6:26:03 time: 1.9654 data_time: 0.0644 memory: 28971 loss_text: 0.1165 loss_kernel: 0.0559 loss: 0.1724 2022/08/27 10:02:15 - mmengine - INFO - Epoch(train) [504][50/63] lr: 1.0000e-06 eta: 6:25:21 time: 1.8914 data_time: 0.0802 memory: 28971 loss_text: 0.1203 loss_kernel: 0.0575 loss: 0.1778 2022/08/27 10:02:31 - mmengine - INFO - Epoch(train) [504][55/63] lr: 1.0000e-06 eta: 6:25:21 time: 2.0706 data_time: 0.0641 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0659 loss: 0.2063 2022/08/27 10:02:47 - mmengine - INFO - Epoch(train) [504][60/63] lr: 1.0000e-06 eta: 6:24:41 time: 3.2174 data_time: 0.1367 memory: 28971 loss_text: 0.1409 loss_kernel: 0.0663 loss: 0.2072 2022/08/27 10:02:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:04:40 - mmengine - INFO - Epoch(train) [505][5/63] lr: 1.0000e-06 eta: 6:24:41 time: 12.4674 data_time: 9.4346 memory: 28971 loss_text: 0.1693 loss_kernel: 0.0777 loss: 0.2470 2022/08/27 10:04:46 - mmengine - INFO - Epoch(train) [505][10/63] lr: 1.0000e-06 eta: 6:24:04 time: 11.0976 data_time: 9.4273 memory: 28971 loss_text: 0.1624 loss_kernel: 0.0744 loss: 0.2368 2022/08/27 10:05:00 - mmengine - INFO - Epoch(train) [505][15/63] lr: 1.0000e-06 eta: 6:24:04 time: 2.0509 data_time: 0.1272 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0698 loss: 0.2214 2022/08/27 10:05:14 - mmengine - INFO - Epoch(train) [505][20/63] lr: 1.0000e-06 eta: 6:23:23 time: 2.7461 data_time: 0.1346 memory: 28971 loss_text: 0.1139 loss_kernel: 0.0536 loss: 0.1674 2022/08/27 10:05:24 - mmengine - INFO - Epoch(train) [505][25/63] lr: 1.0000e-06 eta: 6:23:23 time: 2.4285 data_time: 0.1655 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0556 loss: 0.1748 2022/08/27 10:05:39 - mmengine - INFO - Epoch(train) [505][30/63] lr: 1.0000e-06 eta: 6:22:43 time: 2.5947 data_time: 0.1666 memory: 28971 loss_text: 0.1539 loss_kernel: 0.0707 loss: 0.2246 2022/08/27 10:05:45 - mmengine - INFO - Epoch(train) [505][35/63] lr: 1.0000e-06 eta: 6:22:43 time: 2.1031 data_time: 0.1122 memory: 28971 loss_text: 0.1166 loss_kernel: 0.0548 loss: 0.1714 2022/08/27 10:05:57 - mmengine - INFO - Epoch(train) [505][40/63] lr: 1.0000e-06 eta: 6:22:01 time: 1.7010 data_time: 0.0900 memory: 28971 loss_text: 0.0969 loss_kernel: 0.0465 loss: 0.1434 2022/08/27 10:06:13 - mmengine - INFO - Epoch(train) [505][45/63] lr: 1.0000e-06 eta: 6:22:01 time: 2.6503 data_time: 0.1940 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0569 loss: 0.1784 2022/08/27 10:06:24 - mmengine - INFO - Epoch(train) [505][50/63] lr: 1.0000e-06 eta: 6:21:21 time: 2.7592 data_time: 0.4660 memory: 28971 loss_text: 0.1330 loss_kernel: 0.0614 loss: 0.1944 2022/08/27 10:06:41 - mmengine - INFO - Epoch(train) [505][55/63] lr: 1.0000e-06 eta: 6:21:21 time: 2.8597 data_time: 0.3645 memory: 28971 loss_text: 0.1360 loss_kernel: 0.0642 loss: 0.2001 2022/08/27 10:06:53 - mmengine - INFO - Epoch(train) [505][60/63] lr: 1.0000e-06 eta: 6:20:41 time: 2.9230 data_time: 0.2523 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0587 loss: 0.1801 2022/08/27 10:07:00 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:08:44 - mmengine - INFO - Epoch(train) [506][5/63] lr: 1.0000e-06 eta: 6:20:41 time: 11.8637 data_time: 9.4292 memory: 28971 loss_text: 0.1498 loss_kernel: 0.0701 loss: 0.2200 2022/08/27 10:08:49 - mmengine - INFO - Epoch(train) [506][10/63] lr: 1.0000e-06 eta: 6:20:02 time: 10.8395 data_time: 9.2392 memory: 28971 loss_text: 0.1493 loss_kernel: 0.0691 loss: 0.2184 2022/08/27 10:09:02 - mmengine - INFO - Epoch(train) [506][15/63] lr: 1.0000e-06 eta: 6:20:02 time: 1.7558 data_time: 0.1148 memory: 28971 loss_text: 0.1121 loss_kernel: 0.0526 loss: 0.1647 2022/08/27 10:09:07 - mmengine - INFO - Epoch(train) [506][20/63] lr: 1.0000e-06 eta: 6:19:20 time: 1.7272 data_time: 0.0968 memory: 28971 loss_text: 0.1239 loss_kernel: 0.0592 loss: 0.1831 2022/08/27 10:09:21 - mmengine - INFO - Epoch(train) [506][25/63] lr: 1.0000e-06 eta: 6:19:20 time: 1.9475 data_time: 0.0945 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0625 loss: 0.1951 2022/08/27 10:09:26 - mmengine - INFO - Epoch(train) [506][30/63] lr: 1.0000e-06 eta: 6:18:39 time: 1.9820 data_time: 0.1093 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0563 loss: 0.1756 2022/08/27 10:09:36 - mmengine - INFO - Epoch(train) [506][35/63] lr: 1.0000e-06 eta: 6:18:39 time: 1.4924 data_time: 0.1003 memory: 28971 loss_text: 0.1477 loss_kernel: 0.0686 loss: 0.2163 2022/08/27 10:09:41 - mmengine - INFO - Epoch(train) [506][40/63] lr: 1.0000e-06 eta: 6:17:56 time: 1.4938 data_time: 0.1483 memory: 28971 loss_text: 0.1794 loss_kernel: 0.0822 loss: 0.2616 2022/08/27 10:09:56 - mmengine - INFO - Epoch(train) [506][45/63] lr: 1.0000e-06 eta: 6:17:56 time: 1.9334 data_time: 0.2365 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0629 loss: 0.1990 2022/08/27 10:10:01 - mmengine - INFO - Epoch(train) [506][50/63] lr: 1.0000e-06 eta: 6:17:15 time: 1.9877 data_time: 0.1822 memory: 28971 loss_text: 0.1185 loss_kernel: 0.0549 loss: 0.1734 2022/08/27 10:10:18 - mmengine - INFO - Epoch(train) [506][55/63] lr: 1.0000e-06 eta: 6:17:15 time: 2.2575 data_time: 0.1688 memory: 28971 loss_text: 0.1356 loss_kernel: 0.0627 loss: 0.1983 2022/08/27 10:10:27 - mmengine - INFO - Epoch(train) [506][60/63] lr: 1.0000e-06 eta: 6:16:34 time: 2.5294 data_time: 0.1846 memory: 28971 loss_text: 0.1213 loss_kernel: 0.0568 loss: 0.1781 2022/08/27 10:10:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:12:20 - mmengine - INFO - Epoch(train) [507][5/63] lr: 1.0000e-06 eta: 6:16:34 time: 11.6857 data_time: 9.4149 memory: 28971 loss_text: 0.1514 loss_kernel: 0.0706 loss: 0.2220 2022/08/27 10:12:25 - mmengine - INFO - Epoch(train) [507][10/63] lr: 1.0000e-06 eta: 6:15:56 time: 11.0590 data_time: 9.3992 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0672 loss: 0.2122 2022/08/27 10:12:44 - mmengine - INFO - Epoch(train) [507][15/63] lr: 1.0000e-06 eta: 6:15:56 time: 2.4474 data_time: 0.1963 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0635 loss: 0.1998 2022/08/27 10:12:49 - mmengine - INFO - Epoch(train) [507][20/63] lr: 1.0000e-06 eta: 6:15:15 time: 2.3870 data_time: 0.2126 memory: 28971 loss_text: 0.1027 loss_kernel: 0.0497 loss: 0.1524 2022/08/27 10:13:03 - mmengine - INFO - Epoch(train) [507][25/63] lr: 1.0000e-06 eta: 6:15:15 time: 1.9084 data_time: 0.1041 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0576 loss: 0.1796 2022/08/27 10:13:08 - mmengine - INFO - Epoch(train) [507][30/63] lr: 1.0000e-06 eta: 6:14:33 time: 1.9396 data_time: 0.0943 memory: 28971 loss_text: 0.1691 loss_kernel: 0.0775 loss: 0.2466 2022/08/27 10:13:21 - mmengine - INFO - Epoch(train) [507][35/63] lr: 1.0000e-06 eta: 6:14:33 time: 1.7480 data_time: 0.0807 memory: 28971 loss_text: 0.1410 loss_kernel: 0.0660 loss: 0.2070 2022/08/27 10:13:26 - mmengine - INFO - Epoch(train) [507][40/63] lr: 1.0000e-06 eta: 6:13:51 time: 1.7504 data_time: 0.0655 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0610 loss: 0.1905 2022/08/27 10:13:38 - mmengine - INFO - Epoch(train) [507][45/63] lr: 1.0000e-06 eta: 6:13:51 time: 1.7715 data_time: 0.0861 memory: 28971 loss_text: 0.1288 loss_kernel: 0.0609 loss: 0.1897 2022/08/27 10:13:45 - mmengine - INFO - Epoch(train) [507][50/63] lr: 1.0000e-06 eta: 6:13:10 time: 1.8906 data_time: 0.0845 memory: 28971 loss_text: 0.1127 loss_kernel: 0.0537 loss: 0.1665 2022/08/27 10:14:02 - mmengine - INFO - Epoch(train) [507][55/63] lr: 1.0000e-06 eta: 6:13:10 time: 2.3911 data_time: 0.2255 memory: 28971 loss_text: 0.1151 loss_kernel: 0.0542 loss: 0.1693 2022/08/27 10:14:24 - mmengine - INFO - Epoch(train) [507][60/63] lr: 1.0000e-06 eta: 6:12:32 time: 3.8765 data_time: 0.3543 memory: 28971 loss_text: 0.1425 loss_kernel: 0.0666 loss: 0.2091 2022/08/27 10:14:27 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:16:11 - mmengine - INFO - Epoch(train) [508][5/63] lr: 1.0000e-06 eta: 6:12:32 time: 12.1270 data_time: 9.4081 memory: 28971 loss_text: 0.1581 loss_kernel: 0.0728 loss: 0.2309 2022/08/27 10:16:17 - mmengine - INFO - Epoch(train) [508][10/63] lr: 1.0000e-06 eta: 6:11:53 time: 10.9867 data_time: 9.3421 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0635 loss: 0.2000 2022/08/27 10:16:33 - mmengine - INFO - Epoch(train) [508][15/63] lr: 1.0000e-06 eta: 6:11:53 time: 2.1307 data_time: 0.1258 memory: 28971 loss_text: 0.1097 loss_kernel: 0.0536 loss: 0.1633 2022/08/27 10:16:37 - mmengine - INFO - Epoch(train) [508][20/63] lr: 1.0000e-06 eta: 6:11:12 time: 2.0182 data_time: 0.1099 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0680 loss: 0.2116 2022/08/27 10:16:52 - mmengine - INFO - Epoch(train) [508][25/63] lr: 1.0000e-06 eta: 6:11:12 time: 1.9548 data_time: 0.1200 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0687 loss: 0.2157 2022/08/27 10:17:08 - mmengine - INFO - Epoch(train) [508][30/63] lr: 1.0000e-06 eta: 6:10:32 time: 3.0658 data_time: 0.1595 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0550 loss: 0.1703 2022/08/27 10:17:20 - mmengine - INFO - Epoch(train) [508][35/63] lr: 1.0000e-06 eta: 6:10:32 time: 2.7909 data_time: 0.1708 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0674 loss: 0.2144 2022/08/27 10:17:30 - mmengine - INFO - Epoch(train) [508][40/63] lr: 1.0000e-06 eta: 6:09:51 time: 2.1669 data_time: 0.1220 memory: 28971 loss_text: 0.1475 loss_kernel: 0.0679 loss: 0.2154 2022/08/27 10:17:48 - mmengine - INFO - Epoch(train) [508][45/63] lr: 1.0000e-06 eta: 6:09:51 time: 2.7543 data_time: 0.4137 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0691 loss: 0.2187 2022/08/27 10:18:01 - mmengine - INFO - Epoch(train) [508][50/63] lr: 1.0000e-06 eta: 6:09:12 time: 3.0876 data_time: 0.5253 memory: 28971 loss_text: 0.1558 loss_kernel: 0.0720 loss: 0.2278 2022/08/27 10:18:11 - mmengine - INFO - Epoch(train) [508][55/63] lr: 1.0000e-06 eta: 6:09:12 time: 2.2913 data_time: 0.1996 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0636 loss: 0.1993 2022/08/27 10:18:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:18:21 - mmengine - INFO - Epoch(train) [508][60/63] lr: 1.0000e-06 eta: 6:08:30 time: 1.9910 data_time: 0.1991 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0647 loss: 0.2039 2022/08/27 10:18:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:20:17 - mmengine - INFO - Epoch(train) [509][5/63] lr: 1.0000e-06 eta: 6:08:30 time: 11.7985 data_time: 8.9231 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0643 loss: 0.2023 2022/08/27 10:20:22 - mmengine - INFO - Epoch(train) [509][10/63] lr: 1.0000e-06 eta: 6:07:51 time: 10.6670 data_time: 8.8997 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0661 loss: 0.2082 2022/08/27 10:20:38 - mmengine - INFO - Epoch(train) [509][15/63] lr: 1.0000e-06 eta: 6:07:51 time: 2.0870 data_time: 0.0940 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0650 loss: 0.2072 2022/08/27 10:20:44 - mmengine - INFO - Epoch(train) [509][20/63] lr: 1.0000e-06 eta: 6:07:10 time: 2.1278 data_time: 0.1312 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0594 loss: 0.1892 2022/08/27 10:21:00 - mmengine - INFO - Epoch(train) [509][25/63] lr: 1.0000e-06 eta: 6:07:10 time: 2.1890 data_time: 0.1971 memory: 28971 loss_text: 0.1244 loss_kernel: 0.0577 loss: 0.1821 2022/08/27 10:21:17 - mmengine - INFO - Epoch(train) [509][30/63] lr: 1.0000e-06 eta: 6:06:31 time: 3.3339 data_time: 0.1745 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0634 loss: 0.1999 2022/08/27 10:21:22 - mmengine - INFO - Epoch(train) [509][35/63] lr: 1.0000e-06 eta: 6:06:31 time: 2.1765 data_time: 0.1202 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0612 loss: 0.1892 2022/08/27 10:21:40 - mmengine - INFO - Epoch(train) [509][40/63] lr: 1.0000e-06 eta: 6:05:50 time: 2.2412 data_time: 0.1108 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0604 loss: 0.1871 2022/08/27 10:21:44 - mmengine - INFO - Epoch(train) [509][45/63] lr: 1.0000e-06 eta: 6:05:50 time: 2.2474 data_time: 0.1168 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0584 loss: 0.1832 2022/08/27 10:22:00 - mmengine - INFO - Epoch(train) [509][50/63] lr: 1.0000e-06 eta: 6:05:09 time: 2.0502 data_time: 0.1072 memory: 28971 loss_text: 0.1027 loss_kernel: 0.0485 loss: 0.1512 2022/08/27 10:22:17 - mmengine - INFO - Epoch(train) [509][55/63] lr: 1.0000e-06 eta: 6:05:09 time: 3.2725 data_time: 0.0788 memory: 28971 loss_text: 0.1033 loss_kernel: 0.0493 loss: 0.1526 2022/08/27 10:22:22 - mmengine - INFO - Epoch(train) [509][60/63] lr: 1.0000e-06 eta: 6:04:28 time: 2.2230 data_time: 0.1236 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0579 loss: 0.1814 2022/08/27 10:22:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:24:19 - mmengine - INFO - Epoch(train) [510][5/63] lr: 1.0000e-06 eta: 6:04:28 time: 11.8018 data_time: 9.1248 memory: 28971 loss_text: 0.1333 loss_kernel: 0.0612 loss: 0.1945 2022/08/27 10:24:23 - mmengine - INFO - Epoch(train) [510][10/63] lr: 1.0000e-06 eta: 6:03:48 time: 10.5078 data_time: 9.1390 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0646 loss: 0.2055 2022/08/27 10:24:38 - mmengine - INFO - Epoch(train) [510][15/63] lr: 1.0000e-06 eta: 6:03:48 time: 1.8790 data_time: 0.1009 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0613 loss: 0.1894 2022/08/27 10:24:42 - mmengine - INFO - Epoch(train) [510][20/63] lr: 1.0000e-06 eta: 6:03:06 time: 1.8845 data_time: 0.1035 memory: 28971 loss_text: 0.1234 loss_kernel: 0.0588 loss: 0.1821 2022/08/27 10:24:56 - mmengine - INFO - Epoch(train) [510][25/63] lr: 1.0000e-06 eta: 6:03:06 time: 1.7998 data_time: 0.0867 memory: 28971 loss_text: 0.1115 loss_kernel: 0.0529 loss: 0.1644 2022/08/27 10:25:01 - mmengine - INFO - Epoch(train) [510][30/63] lr: 1.0000e-06 eta: 6:02:25 time: 1.8619 data_time: 0.1209 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0572 loss: 0.1784 2022/08/27 10:25:19 - mmengine - INFO - Epoch(train) [510][35/63] lr: 1.0000e-06 eta: 6:02:25 time: 2.2639 data_time: 0.1758 memory: 28971 loss_text: 0.1204 loss_kernel: 0.0571 loss: 0.1775 2022/08/27 10:25:23 - mmengine - INFO - Epoch(train) [510][40/63] lr: 1.0000e-06 eta: 6:01:44 time: 2.2123 data_time: 0.1508 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0584 loss: 0.1827 2022/08/27 10:25:38 - mmengine - INFO - Epoch(train) [510][45/63] lr: 1.0000e-06 eta: 6:01:44 time: 1.9545 data_time: 0.1640 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0665 loss: 0.2095 2022/08/27 10:25:43 - mmengine - INFO - Epoch(train) [510][50/63] lr: 1.0000e-06 eta: 6:01:02 time: 1.9690 data_time: 0.1647 memory: 28971 loss_text: 0.1209 loss_kernel: 0.0571 loss: 0.1780 2022/08/27 10:26:02 - mmengine - INFO - Epoch(train) [510][55/63] lr: 1.0000e-06 eta: 6:01:02 time: 2.3907 data_time: 0.1151 memory: 28971 loss_text: 0.0954 loss_kernel: 0.0460 loss: 0.1414 2022/08/27 10:26:07 - mmengine - INFO - Epoch(train) [510][60/63] lr: 1.0000e-06 eta: 6:00:22 time: 2.4197 data_time: 0.1497 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0554 loss: 0.1722 2022/08/27 10:26:11 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:27:50 - mmengine - INFO - Epoch(train) [511][5/63] lr: 1.0000e-06 eta: 6:00:22 time: 10.5008 data_time: 8.9822 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0584 loss: 0.1832 2022/08/27 10:27:55 - mmengine - INFO - Epoch(train) [511][10/63] lr: 1.0000e-06 eta: 5:59:42 time: 10.3934 data_time: 8.9977 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0622 loss: 0.1946 2022/08/27 10:28:10 - mmengine - INFO - Epoch(train) [511][15/63] lr: 1.0000e-06 eta: 5:59:42 time: 1.9158 data_time: 0.0942 memory: 28971 loss_text: 0.1093 loss_kernel: 0.0528 loss: 0.1621 2022/08/27 10:28:14 - mmengine - INFO - Epoch(train) [511][20/63] lr: 1.0000e-06 eta: 5:59:00 time: 1.8814 data_time: 0.0976 memory: 28971 loss_text: 0.1105 loss_kernel: 0.0531 loss: 0.1636 2022/08/27 10:28:30 - mmengine - INFO - Epoch(train) [511][25/63] lr: 1.0000e-06 eta: 5:59:00 time: 2.0562 data_time: 0.1079 memory: 28971 loss_text: 0.1436 loss_kernel: 0.0671 loss: 0.2107 2022/08/27 10:28:35 - mmengine - INFO - Epoch(train) [511][30/63] lr: 1.0000e-06 eta: 5:58:19 time: 2.1057 data_time: 0.1037 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0630 loss: 0.2001 2022/08/27 10:28:49 - mmengine - INFO - Epoch(train) [511][35/63] lr: 1.0000e-06 eta: 5:58:19 time: 1.9162 data_time: 0.1184 memory: 28971 loss_text: 0.1204 loss_kernel: 0.0556 loss: 0.1760 2022/08/27 10:28:56 - mmengine - INFO - Epoch(train) [511][40/63] lr: 1.0000e-06 eta: 5:57:38 time: 2.0969 data_time: 0.1407 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0591 loss: 0.1857 2022/08/27 10:29:09 - mmengine - INFO - Epoch(train) [511][45/63] lr: 1.0000e-06 eta: 5:57:38 time: 1.9404 data_time: 0.1440 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0607 loss: 0.1915 2022/08/27 10:29:15 - mmengine - INFO - Epoch(train) [511][50/63] lr: 1.0000e-06 eta: 5:56:57 time: 1.9190 data_time: 0.1526 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0595 loss: 0.1860 2022/08/27 10:29:28 - mmengine - INFO - Epoch(train) [511][55/63] lr: 1.0000e-06 eta: 5:56:57 time: 1.8835 data_time: 0.1385 memory: 28971 loss_text: 0.0877 loss_kernel: 0.0438 loss: 0.1315 2022/08/27 10:29:32 - mmengine - INFO - Epoch(train) [511][60/63] lr: 1.0000e-06 eta: 5:56:15 time: 1.7096 data_time: 0.0906 memory: 28971 loss_text: 0.0947 loss_kernel: 0.0461 loss: 0.1409 2022/08/27 10:29:44 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:31:26 - mmengine - INFO - Epoch(train) [512][5/63] lr: 1.0000e-06 eta: 5:56:15 time: 11.5373 data_time: 9.1199 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0604 loss: 0.1913 2022/08/27 10:31:32 - mmengine - INFO - Epoch(train) [512][10/63] lr: 1.0000e-06 eta: 5:55:35 time: 10.7484 data_time: 9.0725 memory: 28971 loss_text: 0.1275 loss_kernel: 0.0593 loss: 0.1868 2022/08/27 10:31:46 - mmengine - INFO - Epoch(train) [512][15/63] lr: 1.0000e-06 eta: 5:55:35 time: 1.9800 data_time: 0.1514 memory: 28971 loss_text: 0.1069 loss_kernel: 0.0502 loss: 0.1570 2022/08/27 10:31:51 - mmengine - INFO - Epoch(train) [512][20/63] lr: 1.0000e-06 eta: 5:54:54 time: 1.8663 data_time: 0.1695 memory: 28971 loss_text: 0.1055 loss_kernel: 0.0499 loss: 0.1555 2022/08/27 10:32:06 - mmengine - INFO - Epoch(train) [512][25/63] lr: 1.0000e-06 eta: 5:54:54 time: 1.9271 data_time: 0.1211 memory: 28971 loss_text: 0.1272 loss_kernel: 0.0600 loss: 0.1871 2022/08/27 10:32:10 - mmengine - INFO - Epoch(train) [512][30/63] lr: 1.0000e-06 eta: 5:54:13 time: 1.9523 data_time: 0.1068 memory: 28971 loss_text: 0.1371 loss_kernel: 0.0650 loss: 0.2021 2022/08/27 10:32:28 - mmengine - INFO - Epoch(train) [512][35/63] lr: 1.0000e-06 eta: 5:54:13 time: 2.2946 data_time: 0.1015 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0629 loss: 0.1966 2022/08/27 10:32:33 - mmengine - INFO - Epoch(train) [512][40/63] lr: 1.0000e-06 eta: 5:53:32 time: 2.2370 data_time: 0.0833 memory: 28971 loss_text: 0.1220 loss_kernel: 0.0573 loss: 0.1793 2022/08/27 10:32:49 - mmengine - INFO - Epoch(train) [512][45/63] lr: 1.0000e-06 eta: 5:53:32 time: 2.0157 data_time: 0.0846 memory: 28971 loss_text: 0.1125 loss_kernel: 0.0533 loss: 0.1659 2022/08/27 10:32:53 - mmengine - INFO - Epoch(train) [512][50/63] lr: 1.0000e-06 eta: 5:52:51 time: 2.0577 data_time: 0.1221 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0628 loss: 0.1981 2022/08/27 10:33:05 - mmengine - INFO - Epoch(train) [512][55/63] lr: 1.0000e-06 eta: 5:52:51 time: 1.5792 data_time: 0.0944 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0598 loss: 0.1866 2022/08/27 10:33:13 - mmengine - INFO - Epoch(train) [512][60/63] lr: 1.0000e-06 eta: 5:52:09 time: 1.9243 data_time: 0.2324 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0559 loss: 0.1743 2022/08/27 10:33:16 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:35:02 - mmengine - INFO - Epoch(train) [513][5/63] lr: 1.0000e-06 eta: 5:52:09 time: 11.1253 data_time: 9.1885 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0641 loss: 0.2019 2022/08/27 10:35:14 - mmengine - INFO - Epoch(train) [513][10/63] lr: 1.0000e-06 eta: 5:51:31 time: 11.8025 data_time: 9.2258 memory: 28971 loss_text: 0.1196 loss_kernel: 0.0575 loss: 0.1771 2022/08/27 10:35:23 - mmengine - INFO - Epoch(train) [513][15/63] lr: 1.0000e-06 eta: 5:51:31 time: 2.0566 data_time: 0.1473 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0605 loss: 0.1875 2022/08/27 10:35:28 - mmengine - INFO - Epoch(train) [513][20/63] lr: 1.0000e-06 eta: 5:50:49 time: 1.3728 data_time: 0.1608 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0584 loss: 0.1832 2022/08/27 10:35:42 - mmengine - INFO - Epoch(train) [513][25/63] lr: 1.0000e-06 eta: 5:50:49 time: 1.9416 data_time: 0.1073 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0645 loss: 0.2049 2022/08/27 10:35:47 - mmengine - INFO - Epoch(train) [513][30/63] lr: 1.0000e-06 eta: 5:50:08 time: 1.8884 data_time: 0.0629 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0665 loss: 0.2110 2022/08/27 10:35:55 - mmengine - INFO - Epoch(train) [513][35/63] lr: 1.0000e-06 eta: 5:50:08 time: 1.2386 data_time: 0.0491 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0642 loss: 0.2030 2022/08/27 10:35:59 - mmengine - INFO - Epoch(train) [513][40/63] lr: 1.0000e-06 eta: 5:49:25 time: 1.2356 data_time: 0.0485 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0653 loss: 0.2075 2022/08/27 10:36:09 - mmengine - INFO - Epoch(train) [513][45/63] lr: 1.0000e-06 eta: 5:49:25 time: 1.3993 data_time: 0.0396 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0619 loss: 0.1943 2022/08/27 10:36:13 - mmengine - INFO - Epoch(train) [513][50/63] lr: 1.0000e-06 eta: 5:48:43 time: 1.4055 data_time: 0.0479 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0588 loss: 0.1829 2022/08/27 10:36:19 - mmengine - INFO - Epoch(train) [513][55/63] lr: 1.0000e-06 eta: 5:48:43 time: 1.0475 data_time: 0.0326 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0631 loss: 0.1981 2022/08/27 10:36:28 - mmengine - INFO - Epoch(train) [513][60/63] lr: 1.0000e-06 eta: 5:48:01 time: 1.4719 data_time: 0.0886 memory: 28971 loss_text: 0.1238 loss_kernel: 0.0586 loss: 0.1824 2022/08/27 10:36:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:38:03 - mmengine - INFO - Epoch(train) [514][5/63] lr: 1.0000e-06 eta: 5:48:01 time: 9.6269 data_time: 8.3529 memory: 28971 loss_text: 0.0911 loss_kernel: 0.0452 loss: 0.1363 2022/08/27 10:38:07 - mmengine - INFO - Epoch(train) [514][10/63] lr: 1.0000e-06 eta: 5:47:19 time: 9.5748 data_time: 8.3698 memory: 28971 loss_text: 0.1003 loss_kernel: 0.0489 loss: 0.1493 2022/08/27 10:38:16 - mmengine - INFO - Epoch(train) [514][15/63] lr: 1.0000e-06 eta: 5:47:19 time: 1.2806 data_time: 0.0328 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0608 loss: 0.1886 2022/08/27 10:38:20 - mmengine - INFO - Epoch(train) [514][20/63] lr: 1.0000e-06 eta: 5:46:37 time: 1.3007 data_time: 0.0494 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0554 loss: 0.1709 2022/08/27 10:38:29 - mmengine - INFO - Epoch(train) [514][25/63] lr: 1.0000e-06 eta: 5:46:37 time: 1.3461 data_time: 0.0671 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0571 loss: 0.1796 2022/08/27 10:38:34 - mmengine - INFO - Epoch(train) [514][30/63] lr: 1.0000e-06 eta: 5:45:55 time: 1.3911 data_time: 0.0576 memory: 28971 loss_text: 0.1715 loss_kernel: 0.0790 loss: 0.2505 2022/08/27 10:38:40 - mmengine - INFO - Epoch(train) [514][35/63] lr: 1.0000e-06 eta: 5:45:55 time: 1.0958 data_time: 0.0531 memory: 28971 loss_text: 0.1624 loss_kernel: 0.0761 loss: 0.2385 2022/08/27 10:38:45 - mmengine - INFO - Epoch(train) [514][40/63] lr: 1.0000e-06 eta: 5:45:12 time: 1.0478 data_time: 0.0405 memory: 28971 loss_text: 0.1827 loss_kernel: 0.0840 loss: 0.2666 2022/08/27 10:38:49 - mmengine - INFO - Epoch(train) [514][45/63] lr: 1.0000e-06 eta: 5:45:12 time: 0.9573 data_time: 0.0324 memory: 28971 loss_text: 0.1744 loss_kernel: 0.0805 loss: 0.2549 2022/08/27 10:38:58 - mmengine - INFO - Epoch(train) [514][50/63] lr: 1.0000e-06 eta: 5:44:30 time: 1.2869 data_time: 0.0500 memory: 28971 loss_text: 0.1140 loss_kernel: 0.0544 loss: 0.1684 2022/08/27 10:39:04 - mmengine - INFO - Epoch(train) [514][55/63] lr: 1.0000e-06 eta: 5:44:30 time: 1.4929 data_time: 0.0810 memory: 28971 loss_text: 0.1057 loss_kernel: 0.0502 loss: 0.1559 2022/08/27 10:39:11 - mmengine - INFO - Epoch(train) [514][60/63] lr: 1.0000e-06 eta: 5:43:48 time: 1.3770 data_time: 0.0669 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0592 loss: 0.1852 2022/08/27 10:39:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:41:12 - mmengine - INFO - Epoch(train) [515][5/63] lr: 1.0000e-06 eta: 5:43:48 time: 12.4568 data_time: 9.5615 memory: 28971 loss_text: 0.1478 loss_kernel: 0.0681 loss: 0.2160 2022/08/27 10:41:18 - mmengine - INFO - Epoch(train) [515][10/63] lr: 1.0000e-06 eta: 5:43:09 time: 11.1008 data_time: 9.4359 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0641 loss: 0.2020 2022/08/27 10:41:34 - mmengine - INFO - Epoch(train) [515][15/63] lr: 1.0000e-06 eta: 5:43:09 time: 2.1341 data_time: 0.0581 memory: 28971 loss_text: 0.0987 loss_kernel: 0.0471 loss: 0.1458 2022/08/27 10:41:53 - mmengine - INFO - Epoch(train) [515][20/63] lr: 1.0000e-06 eta: 5:42:30 time: 3.3752 data_time: 0.1396 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0562 loss: 0.1783 2022/08/27 10:42:07 - mmengine - INFO - Epoch(train) [515][25/63] lr: 1.0000e-06 eta: 5:42:30 time: 3.3667 data_time: 0.5890 memory: 28971 loss_text: 0.1254 loss_kernel: 0.0573 loss: 0.1826 2022/08/27 10:42:25 - mmengine - INFO - Epoch(train) [515][30/63] lr: 1.0000e-06 eta: 5:41:51 time: 3.2041 data_time: 0.4889 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0566 loss: 0.1782 2022/08/27 10:42:34 - mmengine - INFO - Epoch(train) [515][35/63] lr: 1.0000e-06 eta: 5:41:51 time: 2.6732 data_time: 0.2746 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0659 loss: 0.2078 2022/08/27 10:42:48 - mmengine - INFO - Epoch(train) [515][40/63] lr: 1.0000e-06 eta: 5:41:10 time: 2.4224 data_time: 0.2554 memory: 28971 loss_text: 0.1385 loss_kernel: 0.0645 loss: 0.2030 2022/08/27 10:42:57 - mmengine - INFO - Epoch(train) [515][45/63] lr: 1.0000e-06 eta: 5:41:10 time: 2.2988 data_time: 0.0839 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0671 loss: 0.2121 2022/08/27 10:43:01 - mmengine - INFO - Epoch(train) [515][50/63] lr: 1.0000e-06 eta: 5:40:28 time: 1.3571 data_time: 0.0911 memory: 28971 loss_text: 0.1241 loss_kernel: 0.0591 loss: 0.1833 2022/08/27 10:43:22 - mmengine - INFO - Epoch(train) [515][55/63] lr: 1.0000e-06 eta: 5:40:28 time: 2.5136 data_time: 0.0327 memory: 28971 loss_text: 0.0984 loss_kernel: 0.0483 loss: 0.1467 2022/08/27 10:43:38 - mmengine - INFO - Epoch(train) [515][60/63] lr: 1.0000e-06 eta: 5:39:50 time: 3.6253 data_time: 0.1227 memory: 28971 loss_text: 0.0982 loss_kernel: 0.0478 loss: 0.1460 2022/08/27 10:43:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:45:32 - mmengine - INFO - Epoch(train) [516][5/63] lr: 1.0000e-06 eta: 5:39:50 time: 12.5442 data_time: 9.2603 memory: 28971 loss_text: 0.1009 loss_kernel: 0.0482 loss: 0.1491 2022/08/27 10:45:37 - mmengine - INFO - Epoch(train) [516][10/63] lr: 1.0000e-06 eta: 5:39:10 time: 10.9558 data_time: 9.3248 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0596 loss: 0.1873 2022/08/27 10:45:51 - mmengine - INFO - Epoch(train) [516][15/63] lr: 1.0000e-06 eta: 5:39:10 time: 1.9035 data_time: 0.1226 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0613 loss: 0.1912 2022/08/27 10:45:55 - mmengine - INFO - Epoch(train) [516][20/63] lr: 1.0000e-06 eta: 5:38:29 time: 1.8136 data_time: 0.0664 memory: 28971 loss_text: 0.1294 loss_kernel: 0.0613 loss: 0.1907 2022/08/27 10:46:12 - mmengine - INFO - Epoch(train) [516][25/63] lr: 1.0000e-06 eta: 5:38:29 time: 2.1267 data_time: 0.1401 memory: 28971 loss_text: 0.1132 loss_kernel: 0.0541 loss: 0.1672 2022/08/27 10:46:17 - mmengine - INFO - Epoch(train) [516][30/63] lr: 1.0000e-06 eta: 5:37:48 time: 2.1589 data_time: 0.1233 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0551 loss: 0.1714 2022/08/27 10:46:36 - mmengine - INFO - Epoch(train) [516][35/63] lr: 1.0000e-06 eta: 5:37:48 time: 2.3658 data_time: 0.0581 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0632 loss: 0.2005 2022/08/27 10:46:40 - mmengine - INFO - Epoch(train) [516][40/63] lr: 1.0000e-06 eta: 5:37:08 time: 2.3013 data_time: 0.0622 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0691 loss: 0.2196 2022/08/27 10:46:56 - mmengine - INFO - Epoch(train) [516][45/63] lr: 1.0000e-06 eta: 5:37:08 time: 2.0485 data_time: 0.0569 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0678 loss: 0.2135 2022/08/27 10:47:01 - mmengine - INFO - Epoch(train) [516][50/63] lr: 1.0000e-06 eta: 5:36:27 time: 2.0645 data_time: 0.0592 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0642 loss: 0.1994 2022/08/27 10:47:16 - mmengine - INFO - Epoch(train) [516][55/63] lr: 1.0000e-06 eta: 5:36:27 time: 1.9181 data_time: 0.0697 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0604 loss: 0.1847 2022/08/27 10:47:26 - mmengine - INFO - Epoch(train) [516][60/63] lr: 1.0000e-06 eta: 5:35:47 time: 2.5520 data_time: 0.1827 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0581 loss: 0.1802 2022/08/27 10:47:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:49:21 - mmengine - INFO - Epoch(train) [517][5/63] lr: 1.0000e-06 eta: 5:35:47 time: 12.1325 data_time: 9.3375 memory: 28971 loss_text: 0.1269 loss_kernel: 0.0567 loss: 0.1837 2022/08/27 10:49:26 - mmengine - INFO - Epoch(train) [517][10/63] lr: 1.0000e-06 eta: 5:35:07 time: 11.1832 data_time: 9.3521 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0559 loss: 0.1789 2022/08/27 10:49:41 - mmengine - INFO - Epoch(train) [517][15/63] lr: 1.0000e-06 eta: 5:35:07 time: 2.0351 data_time: 0.1071 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0593 loss: 0.1861 2022/08/27 10:49:46 - mmengine - INFO - Epoch(train) [517][20/63] lr: 1.0000e-06 eta: 5:34:26 time: 1.9915 data_time: 0.1277 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0603 loss: 0.1873 2022/08/27 10:50:01 - mmengine - INFO - Epoch(train) [517][25/63] lr: 1.0000e-06 eta: 5:34:26 time: 1.9362 data_time: 0.1135 memory: 28971 loss_text: 0.1009 loss_kernel: 0.0495 loss: 0.1503 2022/08/27 10:50:06 - mmengine - INFO - Epoch(train) [517][30/63] lr: 1.0000e-06 eta: 5:33:45 time: 1.9552 data_time: 0.1155 memory: 28971 loss_text: 0.1065 loss_kernel: 0.0498 loss: 0.1563 2022/08/27 10:50:21 - mmengine - INFO - Epoch(train) [517][35/63] lr: 1.0000e-06 eta: 5:33:45 time: 2.0076 data_time: 0.1418 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0488 loss: 0.1542 2022/08/27 10:50:26 - mmengine - INFO - Epoch(train) [517][40/63] lr: 1.0000e-06 eta: 5:33:04 time: 2.0675 data_time: 0.1514 memory: 28971 loss_text: 0.1303 loss_kernel: 0.0615 loss: 0.1918 2022/08/27 10:50:45 - mmengine - INFO - Epoch(train) [517][45/63] lr: 1.0000e-06 eta: 5:33:04 time: 2.4158 data_time: 0.1817 memory: 28971 loss_text: 0.1531 loss_kernel: 0.0706 loss: 0.2237 2022/08/27 10:50:50 - mmengine - INFO - Epoch(train) [517][50/63] lr: 1.0000e-06 eta: 5:32:24 time: 2.3096 data_time: 0.1535 memory: 28971 loss_text: 0.1217 loss_kernel: 0.0567 loss: 0.1784 2022/08/27 10:51:06 - mmengine - INFO - Epoch(train) [517][55/63] lr: 1.0000e-06 eta: 5:32:24 time: 2.0463 data_time: 0.0639 memory: 28971 loss_text: 0.1236 loss_kernel: 0.0574 loss: 0.1810 2022/08/27 10:51:11 - mmengine - INFO - Epoch(train) [517][60/63] lr: 1.0000e-06 eta: 5:31:43 time: 2.1578 data_time: 0.1850 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0586 loss: 0.1851 2022/08/27 10:51:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:53:13 - mmengine - INFO - Epoch(train) [518][5/63] lr: 1.0000e-06 eta: 5:31:43 time: 12.1616 data_time: 9.3249 memory: 28971 loss_text: 0.1205 loss_kernel: 0.0573 loss: 0.1778 2022/08/27 10:53:29 - mmengine - INFO - Epoch(train) [518][10/63] lr: 1.0000e-06 eta: 5:31:06 time: 12.3406 data_time: 9.5053 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0607 loss: 0.1883 2022/08/27 10:53:36 - mmengine - INFO - Epoch(train) [518][15/63] lr: 1.0000e-06 eta: 5:31:06 time: 2.4184 data_time: 0.4033 memory: 28971 loss_text: 0.1148 loss_kernel: 0.0544 loss: 0.1691 2022/08/27 10:53:53 - mmengine - INFO - Epoch(train) [518][20/63] lr: 1.0000e-06 eta: 5:30:25 time: 2.4707 data_time: 0.3521 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0539 loss: 0.1691 2022/08/27 10:54:08 - mmengine - INFO - Epoch(train) [518][25/63] lr: 1.0000e-06 eta: 5:30:25 time: 3.1150 data_time: 0.1547 memory: 28971 loss_text: 0.1151 loss_kernel: 0.0534 loss: 0.1685 2022/08/27 10:54:14 - mmengine - INFO - Epoch(train) [518][30/63] lr: 1.0000e-06 eta: 5:29:45 time: 2.0977 data_time: 0.1837 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0548 loss: 0.1725 2022/08/27 10:54:29 - mmengine - INFO - Epoch(train) [518][35/63] lr: 1.0000e-06 eta: 5:29:45 time: 2.1722 data_time: 0.2796 memory: 28971 loss_text: 0.1016 loss_kernel: 0.0498 loss: 0.1513 2022/08/27 10:54:33 - mmengine - INFO - Epoch(train) [518][40/63] lr: 1.0000e-06 eta: 5:29:04 time: 1.9227 data_time: 0.1455 memory: 28971 loss_text: 0.1127 loss_kernel: 0.0541 loss: 0.1668 2022/08/27 10:54:48 - mmengine - INFO - Epoch(train) [518][45/63] lr: 1.0000e-06 eta: 5:29:04 time: 1.9220 data_time: 0.0687 memory: 28971 loss_text: 0.1423 loss_kernel: 0.0658 loss: 0.2081 2022/08/27 10:54:53 - mmengine - INFO - Epoch(train) [518][50/63] lr: 1.0000e-06 eta: 5:28:23 time: 1.9666 data_time: 0.1030 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0613 loss: 0.1924 2022/08/27 10:55:10 - mmengine - INFO - Epoch(train) [518][55/63] lr: 1.0000e-06 eta: 5:28:23 time: 2.1844 data_time: 0.0939 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0558 loss: 0.1750 2022/08/27 10:55:21 - mmengine - INFO - Epoch(train) [518][60/63] lr: 1.0000e-06 eta: 5:27:43 time: 2.7639 data_time: 0.1178 memory: 28971 loss_text: 0.1160 loss_kernel: 0.0546 loss: 0.1706 2022/08/27 10:55:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 10:57:15 - mmengine - INFO - Epoch(train) [519][5/63] lr: 1.0000e-06 eta: 5:27:43 time: 12.1380 data_time: 9.4611 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0657 loss: 0.2061 2022/08/27 10:57:22 - mmengine - INFO - Epoch(train) [519][10/63] lr: 1.0000e-06 eta: 5:27:03 time: 11.1976 data_time: 9.4765 memory: 28971 loss_text: 0.1001 loss_kernel: 0.0489 loss: 0.1490 2022/08/27 10:57:36 - mmengine - INFO - Epoch(train) [519][15/63] lr: 1.0000e-06 eta: 5:27:03 time: 2.0535 data_time: 0.1342 memory: 28971 loss_text: 0.1048 loss_kernel: 0.0508 loss: 0.1556 2022/08/27 10:57:42 - mmengine - INFO - Epoch(train) [519][20/63] lr: 1.0000e-06 eta: 5:26:22 time: 1.9973 data_time: 0.1363 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0576 loss: 0.1800 2022/08/27 10:57:55 - mmengine - INFO - Epoch(train) [519][25/63] lr: 1.0000e-06 eta: 5:26:22 time: 1.8845 data_time: 0.1010 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0597 loss: 0.1886 2022/08/27 10:58:00 - mmengine - INFO - Epoch(train) [519][30/63] lr: 1.0000e-06 eta: 5:25:41 time: 1.7893 data_time: 0.0750 memory: 28971 loss_text: 0.1125 loss_kernel: 0.0528 loss: 0.1653 2022/08/27 10:58:16 - mmengine - INFO - Epoch(train) [519][35/63] lr: 1.0000e-06 eta: 5:25:41 time: 2.1323 data_time: 0.1566 memory: 28971 loss_text: 0.1079 loss_kernel: 0.0522 loss: 0.1601 2022/08/27 10:58:21 - mmengine - INFO - Epoch(train) [519][40/63] lr: 1.0000e-06 eta: 5:25:01 time: 2.1187 data_time: 0.1625 memory: 28971 loss_text: 0.1407 loss_kernel: 0.0666 loss: 0.2074 2022/08/27 10:58:36 - mmengine - INFO - Epoch(train) [519][45/63] lr: 1.0000e-06 eta: 5:25:01 time: 2.0019 data_time: 0.1558 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0664 loss: 0.2101 2022/08/27 10:58:41 - mmengine - INFO - Epoch(train) [519][50/63] lr: 1.0000e-06 eta: 5:24:20 time: 2.0546 data_time: 0.1588 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0560 loss: 0.1755 2022/08/27 10:58:58 - mmengine - INFO - Epoch(train) [519][55/63] lr: 1.0000e-06 eta: 5:24:20 time: 2.1614 data_time: 0.2991 memory: 28971 loss_text: 0.1139 loss_kernel: 0.0542 loss: 0.1681 2022/08/27 10:59:15 - mmengine - INFO - Epoch(train) [519][60/63] lr: 1.0000e-06 eta: 5:23:41 time: 3.3867 data_time: 0.4092 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0606 loss: 0.1901 2022/08/27 10:59:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:01:02 - mmengine - INFO - Epoch(train) [520][5/63] lr: 1.0000e-06 eta: 5:23:41 time: 12.0074 data_time: 9.3053 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0622 loss: 0.1949 2022/08/27 11:01:06 - mmengine - INFO - Epoch(train) [520][10/63] lr: 1.0000e-06 eta: 5:23:01 time: 10.7265 data_time: 9.2606 memory: 28971 loss_text: 0.1634 loss_kernel: 0.0754 loss: 0.2388 2022/08/27 11:01:22 - mmengine - INFO - Epoch(train) [520][15/63] lr: 1.0000e-06 eta: 5:23:01 time: 2.0090 data_time: 0.0721 memory: 28971 loss_text: 0.1490 loss_kernel: 0.0698 loss: 0.2187 2022/08/27 11:01:26 - mmengine - INFO - Epoch(train) [520][20/63] lr: 1.0000e-06 eta: 5:22:20 time: 1.9965 data_time: 0.0897 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0674 loss: 0.2139 2022/08/27 11:01:42 - mmengine - INFO - Epoch(train) [520][25/63] lr: 1.0000e-06 eta: 5:22:20 time: 2.0655 data_time: 0.1183 memory: 28971 loss_text: 0.1528 loss_kernel: 0.0704 loss: 0.2233 2022/08/27 11:01:47 - mmengine - INFO - Epoch(train) [520][30/63] lr: 1.0000e-06 eta: 5:21:39 time: 2.0879 data_time: 0.1024 memory: 28971 loss_text: 0.1335 loss_kernel: 0.0630 loss: 0.1965 2022/08/27 11:02:00 - mmengine - INFO - Epoch(train) [520][35/63] lr: 1.0000e-06 eta: 5:21:39 time: 1.8028 data_time: 0.0699 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0539 loss: 0.1667 2022/08/27 11:02:06 - mmengine - INFO - Epoch(train) [520][40/63] lr: 1.0000e-06 eta: 5:20:58 time: 1.8504 data_time: 0.0935 memory: 28971 loss_text: 0.1217 loss_kernel: 0.0580 loss: 0.1797 2022/08/27 11:02:21 - mmengine - INFO - Epoch(train) [520][45/63] lr: 1.0000e-06 eta: 5:20:58 time: 2.0074 data_time: 0.1500 memory: 28971 loss_text: 0.1376 loss_kernel: 0.0646 loss: 0.2022 2022/08/27 11:02:26 - mmengine - INFO - Epoch(train) [520][50/63] lr: 1.0000e-06 eta: 5:20:17 time: 2.0179 data_time: 0.1334 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0540 loss: 0.1673 2022/08/27 11:02:45 - mmengine - INFO - Epoch(train) [520][55/63] lr: 1.0000e-06 eta: 5:20:17 time: 2.3844 data_time: 0.1020 memory: 28971 loss_text: 0.1322 loss_kernel: 0.0606 loss: 0.1928 2022/08/27 11:02:49 - mmengine - INFO - Epoch(train) [520][60/63] lr: 1.0000e-06 eta: 5:19:37 time: 2.3158 data_time: 0.1227 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0554 loss: 0.1746 2022/08/27 11:03:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:03:02 - mmengine - INFO - Saving checkpoint at 520 epochs 2022/08/27 11:03:43 - mmengine - INFO - Epoch(val) [520][5/500] eta: 5:19:37 time: 3.8274 data_time: 2.7891 memory: 28971 2022/08/27 11:03:44 - mmengine - INFO - Epoch(val) [520][10/500] eta: 0:27:06 time: 3.3198 data_time: 2.7577 memory: 3207 2022/08/27 11:03:44 - mmengine - INFO - Epoch(val) [520][15/500] eta: 0:27:06 time: 0.1066 data_time: 0.0204 memory: 3207 2022/08/27 11:03:45 - mmengine - INFO - Epoch(val) [520][20/500] eta: 0:00:42 time: 0.0891 data_time: 0.0026 memory: 3207 2022/08/27 11:03:45 - mmengine - INFO - Epoch(val) [520][25/500] eta: 0:00:42 time: 0.0832 data_time: 0.0028 memory: 3207 2022/08/27 11:03:45 - mmengine - INFO - Epoch(val) [520][30/500] eta: 0:00:41 time: 0.0873 data_time: 0.0027 memory: 3207 2022/08/27 11:03:46 - mmengine - INFO - Epoch(val) [520][35/500] eta: 0:00:41 time: 0.0882 data_time: 0.0027 memory: 3207 2022/08/27 11:03:46 - mmengine - INFO - Epoch(val) [520][40/500] eta: 0:00:40 time: 0.0883 data_time: 0.0027 memory: 3207 2022/08/27 11:03:47 - mmengine - INFO - Epoch(val) [520][45/500] eta: 0:00:40 time: 0.0895 data_time: 0.0027 memory: 3207 2022/08/27 11:03:47 - mmengine - INFO - Epoch(val) [520][50/500] eta: 0:00:38 time: 0.0856 data_time: 0.0027 memory: 3207 2022/08/27 11:03:48 - mmengine - INFO - Epoch(val) [520][55/500] eta: 0:00:38 time: 0.0860 data_time: 0.0026 memory: 3207 2022/08/27 11:03:48 - mmengine - INFO - Epoch(val) [520][60/500] eta: 0:00:52 time: 0.1186 data_time: 0.0318 memory: 3207 2022/08/27 11:03:49 - mmengine - INFO - Epoch(val) [520][65/500] eta: 0:00:52 time: 0.1287 data_time: 0.0317 memory: 3207 2022/08/27 11:03:49 - mmengine - INFO - Epoch(val) [520][70/500] eta: 0:00:43 time: 0.1000 data_time: 0.0026 memory: 3207 2022/08/27 11:03:50 - mmengine - INFO - Epoch(val) [520][75/500] eta: 0:00:43 time: 0.0886 data_time: 0.0044 memory: 3207 2022/08/27 11:03:50 - mmengine - INFO - Epoch(val) [520][80/500] eta: 0:00:36 time: 0.0861 data_time: 0.0044 memory: 3207 2022/08/27 11:03:51 - mmengine - INFO - Epoch(val) [520][85/500] eta: 0:00:36 time: 0.0830 data_time: 0.0025 memory: 3207 2022/08/27 11:03:51 - mmengine - INFO - Epoch(val) [520][90/500] eta: 0:00:34 time: 0.0841 data_time: 0.0026 memory: 3207 2022/08/27 11:03:52 - mmengine - INFO - Epoch(val) [520][95/500] eta: 0:00:34 time: 0.0880 data_time: 0.0026 memory: 3207 2022/08/27 11:03:52 - mmengine - INFO - Epoch(val) [520][100/500] eta: 0:00:40 time: 0.1011 data_time: 0.0028 memory: 3207 2022/08/27 11:03:53 - mmengine - INFO - Epoch(val) [520][105/500] eta: 0:00:40 time: 0.0992 data_time: 0.0029 memory: 3207 2022/08/27 11:04:03 - mmengine - INFO - Epoch(val) [520][110/500] eta: 0:06:49 time: 1.0494 data_time: 0.1283 memory: 3207 2022/08/27 11:04:03 - mmengine - INFO - Epoch(val) [520][115/500] eta: 0:06:49 time: 1.0667 data_time: 0.1291 memory: 3207 2022/08/27 11:04:04 - mmengine - INFO - Epoch(val) [520][120/500] eta: 0:00:38 time: 0.1021 data_time: 0.0046 memory: 3207 2022/08/27 11:04:04 - mmengine - INFO - Epoch(val) [520][125/500] eta: 0:00:38 time: 0.0987 data_time: 0.0037 memory: 3207 2022/08/27 11:04:05 - mmengine - INFO - Epoch(val) [520][130/500] eta: 0:00:35 time: 0.0961 data_time: 0.0026 memory: 3207 2022/08/27 11:04:05 - mmengine - INFO - Epoch(val) [520][135/500] eta: 0:00:35 time: 0.0824 data_time: 0.0026 memory: 3207 2022/08/27 11:04:06 - mmengine - INFO - Epoch(val) [520][140/500] eta: 0:00:35 time: 0.0974 data_time: 0.0027 memory: 3207 2022/08/27 11:04:06 - mmengine - INFO - Epoch(val) [520][145/500] eta: 0:00:35 time: 0.1060 data_time: 0.0026 memory: 3207 2022/08/27 11:04:07 - mmengine - INFO - Epoch(val) [520][150/500] eta: 0:00:32 time: 0.0927 data_time: 0.0029 memory: 3207 2022/08/27 11:04:07 - mmengine - INFO - Epoch(val) [520][155/500] eta: 0:00:32 time: 0.0901 data_time: 0.0029 memory: 3207 2022/08/27 11:04:07 - mmengine - INFO - Epoch(val) [520][160/500] eta: 0:00:33 time: 0.0981 data_time: 0.0108 memory: 3207 2022/08/27 11:04:09 - mmengine - INFO - Epoch(val) [520][165/500] eta: 0:00:33 time: 0.1577 data_time: 0.0260 memory: 3207 2022/08/27 11:04:09 - mmengine - INFO - Epoch(val) [520][170/500] eta: 0:01:01 time: 0.1851 data_time: 0.0520 memory: 3207 2022/08/27 11:04:10 - mmengine - INFO - Epoch(val) [520][175/500] eta: 0:01:01 time: 0.1179 data_time: 0.0368 memory: 3207 2022/08/27 11:04:10 - mmengine - INFO - Epoch(val) [520][180/500] eta: 0:00:29 time: 0.0920 data_time: 0.0026 memory: 3207 2022/08/27 11:04:11 - mmengine - INFO - Epoch(val) [520][185/500] eta: 0:00:29 time: 0.0973 data_time: 0.0029 memory: 3207 2022/08/27 11:04:11 - mmengine - INFO - Epoch(val) [520][190/500] eta: 0:00:27 time: 0.0885 data_time: 0.0029 memory: 3207 2022/08/27 11:04:12 - mmengine - INFO - Epoch(val) [520][195/500] eta: 0:00:27 time: 0.0846 data_time: 0.0029 memory: 3207 2022/08/27 11:04:16 - mmengine - INFO - Epoch(val) [520][200/500] eta: 0:02:07 time: 0.4250 data_time: 0.0027 memory: 3207 2022/08/27 11:04:18 - mmengine - INFO - Epoch(val) [520][205/500] eta: 0:02:07 time: 0.6434 data_time: 0.1009 memory: 3207 2022/08/27 11:04:18 - mmengine - INFO - Epoch(val) [520][210/500] eta: 0:01:27 time: 0.3027 data_time: 0.1024 memory: 3207 2022/08/27 11:04:19 - mmengine - INFO - Epoch(val) [520][215/500] eta: 0:01:27 time: 0.0869 data_time: 0.0042 memory: 3207 2022/08/27 11:04:23 - mmengine - INFO - Epoch(val) [520][220/500] eta: 0:01:54 time: 0.4091 data_time: 0.0671 memory: 3207 2022/08/27 11:04:23 - mmengine - INFO - Epoch(val) [520][225/500] eta: 0:01:54 time: 0.4154 data_time: 0.0672 memory: 3207 2022/08/27 11:04:23 - mmengine - INFO - Epoch(val) [520][230/500] eta: 0:00:24 time: 0.0903 data_time: 0.0028 memory: 3207 2022/08/27 11:04:24 - mmengine - INFO - Epoch(val) [520][235/500] eta: 0:00:24 time: 0.0833 data_time: 0.0026 memory: 3207 2022/08/27 11:04:24 - mmengine - INFO - Epoch(val) [520][240/500] eta: 0:00:25 time: 0.0983 data_time: 0.0025 memory: 3207 2022/08/27 11:04:25 - mmengine - INFO - Epoch(val) [520][245/500] eta: 0:00:25 time: 0.0966 data_time: 0.0027 memory: 3207 2022/08/27 11:04:25 - mmengine - INFO - Epoch(val) [520][250/500] eta: 0:00:21 time: 0.0841 data_time: 0.0029 memory: 3207 2022/08/27 11:04:26 - mmengine - INFO - Epoch(val) [520][255/500] eta: 0:00:21 time: 0.1029 data_time: 0.0037 memory: 3207 2022/08/27 11:04:27 - mmengine - INFO - Epoch(val) [520][260/500] eta: 0:00:30 time: 0.1259 data_time: 0.0142 memory: 3207 2022/08/27 11:04:27 - mmengine - INFO - Epoch(val) [520][265/500] eta: 0:00:30 time: 0.1128 data_time: 0.0191 memory: 3207 2022/08/27 11:04:28 - mmengine - INFO - Epoch(val) [520][270/500] eta: 0:00:23 time: 0.1008 data_time: 0.0084 memory: 3207 2022/08/27 11:04:34 - mmengine - INFO - Epoch(val) [520][275/500] eta: 0:00:23 time: 0.6388 data_time: 0.0605 memory: 3207 2022/08/27 11:04:34 - mmengine - INFO - Epoch(val) [520][280/500] eta: 0:02:23 time: 0.6525 data_time: 0.0799 memory: 3207 2022/08/27 11:04:35 - mmengine - INFO - Epoch(val) [520][285/500] eta: 0:02:23 time: 0.1257 data_time: 0.0221 memory: 3207 2022/08/27 11:04:35 - mmengine - INFO - Epoch(val) [520][290/500] eta: 0:00:21 time: 0.1023 data_time: 0.0026 memory: 3207 2022/08/27 11:04:36 - mmengine - INFO - Epoch(val) [520][295/500] eta: 0:00:21 time: 0.0878 data_time: 0.0026 memory: 3207 2022/08/27 11:04:38 - mmengine - INFO - Epoch(val) [520][300/500] eta: 0:00:47 time: 0.2395 data_time: 0.0116 memory: 3207 2022/08/27 11:04:38 - mmengine - INFO - Epoch(val) [520][305/500] eta: 0:00:47 time: 0.2422 data_time: 0.0135 memory: 3207 2022/08/27 11:04:38 - mmengine - INFO - Epoch(val) [520][310/500] eta: 0:00:18 time: 0.0955 data_time: 0.0101 memory: 3207 2022/08/27 11:04:39 - mmengine - INFO - Epoch(val) [520][315/500] eta: 0:00:18 time: 0.0978 data_time: 0.0106 memory: 3207 2022/08/27 11:04:39 - mmengine - INFO - Epoch(val) [520][320/500] eta: 0:00:16 time: 0.0900 data_time: 0.0050 memory: 3207 2022/08/27 11:04:40 - mmengine - INFO - Epoch(val) [520][325/500] eta: 0:00:16 time: 0.0977 data_time: 0.0026 memory: 3207 2022/08/27 11:04:40 - mmengine - INFO - Epoch(val) [520][330/500] eta: 0:00:16 time: 0.0990 data_time: 0.0026 memory: 3207 2022/08/27 11:04:41 - mmengine - INFO - Epoch(val) [520][335/500] eta: 0:00:16 time: 0.1179 data_time: 0.0026 memory: 3207 2022/08/27 11:04:42 - mmengine - INFO - Epoch(val) [520][340/500] eta: 0:00:20 time: 0.1254 data_time: 0.0027 memory: 3207 2022/08/27 11:04:42 - mmengine - INFO - Epoch(val) [520][345/500] eta: 0:00:20 time: 0.0961 data_time: 0.0027 memory: 3207 2022/08/27 11:04:43 - mmengine - INFO - Epoch(val) [520][350/500] eta: 0:00:14 time: 0.0973 data_time: 0.0026 memory: 3207 2022/08/27 11:04:43 - mmengine - INFO - Epoch(val) [520][355/500] eta: 0:00:14 time: 0.0918 data_time: 0.0026 memory: 3207 2022/08/27 11:04:43 - mmengine - INFO - Epoch(val) [520][360/500] eta: 0:00:11 time: 0.0831 data_time: 0.0025 memory: 3207 2022/08/27 11:04:49 - mmengine - INFO - Epoch(val) [520][365/500] eta: 0:00:11 time: 0.5743 data_time: 0.0344 memory: 3207 2022/08/27 11:04:50 - mmengine - INFO - Epoch(val) [520][370/500] eta: 0:01:19 time: 0.6140 data_time: 0.0412 memory: 3207 2022/08/27 11:04:53 - mmengine - INFO - Epoch(val) [520][375/500] eta: 0:01:19 time: 0.4086 data_time: 0.0193 memory: 3207 2022/08/27 11:04:53 - mmengine - INFO - Epoch(val) [520][380/500] eta: 0:00:45 time: 0.3815 data_time: 0.0200 memory: 3207 2022/08/27 11:04:54 - mmengine - INFO - Epoch(val) [520][385/500] eta: 0:00:45 time: 0.0984 data_time: 0.0113 memory: 3207 2022/08/27 11:04:54 - mmengine - INFO - Epoch(val) [520][390/500] eta: 0:00:09 time: 0.0848 data_time: 0.0037 memory: 3207 2022/08/27 11:04:55 - mmengine - INFO - Epoch(val) [520][395/500] eta: 0:00:09 time: 0.0829 data_time: 0.0025 memory: 3207 2022/08/27 11:04:55 - mmengine - INFO - Epoch(val) [520][400/500] eta: 0:00:08 time: 0.0828 data_time: 0.0026 memory: 3207 2022/08/27 11:04:56 - mmengine - INFO - Epoch(val) [520][405/500] eta: 0:00:08 time: 0.0901 data_time: 0.0101 memory: 3207 2022/08/27 11:04:57 - mmengine - INFO - Epoch(val) [520][410/500] eta: 0:00:13 time: 0.1484 data_time: 0.0101 memory: 3207 2022/08/27 11:04:57 - mmengine - INFO - Epoch(val) [520][415/500] eta: 0:00:13 time: 0.1684 data_time: 0.0292 memory: 3207 2022/08/27 11:04:58 - mmengine - INFO - Epoch(val) [520][420/500] eta: 0:00:08 time: 0.1080 data_time: 0.0291 memory: 3207 2022/08/27 11:04:58 - mmengine - INFO - Epoch(val) [520][425/500] eta: 0:00:08 time: 0.1018 data_time: 0.0072 memory: 3207 2022/08/27 11:04:59 - mmengine - INFO - Epoch(val) [520][430/500] eta: 0:00:07 time: 0.1096 data_time: 0.0097 memory: 3207 2022/08/27 11:05:03 - mmengine - INFO - Epoch(val) [520][435/500] eta: 0:00:07 time: 0.5017 data_time: 0.0628 memory: 3207 2022/08/27 11:05:06 - mmengine - INFO - Epoch(val) [520][440/500] eta: 0:00:40 time: 0.6832 data_time: 0.0976 memory: 3207 2022/08/27 11:05:06 - mmengine - INFO - Epoch(val) [520][445/500] eta: 0:00:40 time: 0.2833 data_time: 0.0500 memory: 3207 2022/08/27 11:05:07 - mmengine - INFO - Epoch(val) [520][450/500] eta: 0:00:05 time: 0.1007 data_time: 0.0145 memory: 3207 2022/08/27 11:05:07 - mmengine - INFO - Epoch(val) [520][455/500] eta: 0:00:05 time: 0.1302 data_time: 0.0043 memory: 3207 2022/08/27 11:05:09 - mmengine - INFO - Epoch(val) [520][460/500] eta: 0:00:07 time: 0.1968 data_time: 0.0457 memory: 3207 2022/08/27 11:05:09 - mmengine - INFO - Epoch(val) [520][465/500] eta: 0:00:07 time: 0.1635 data_time: 0.0551 memory: 3207 2022/08/27 11:05:10 - mmengine - INFO - Epoch(val) [520][470/500] eta: 0:00:03 time: 0.1159 data_time: 0.0121 memory: 3207 2022/08/27 11:05:13 - mmengine - INFO - Epoch(val) [520][475/500] eta: 0:00:03 time: 0.4167 data_time: 0.0061 memory: 3207 2022/08/27 11:05:19 - mmengine - INFO - Epoch(val) [520][480/500] eta: 0:00:17 time: 0.8896 data_time: 0.1828 memory: 3207 2022/08/27 11:05:19 - mmengine - INFO - Epoch(val) [520][485/500] eta: 0:00:17 time: 0.6112 data_time: 0.1995 memory: 3207 2022/08/27 11:05:22 - mmengine - INFO - Epoch(val) [520][490/500] eta: 0:00:03 time: 0.3037 data_time: 0.1002 memory: 3207 2022/08/27 11:05:22 - mmengine - INFO - Epoch(val) [520][495/500] eta: 0:00:03 time: 0.2830 data_time: 0.0835 memory: 3207 2022/08/27 11:05:23 - mmengine - INFO - Epoch(val) [520][500/500] eta: 0:00:00 time: 0.0930 data_time: 0.0060 memory: 3207 2022/08/27 11:05:23 - mmengine - INFO - Evaluating hmean-iou... 2022/08/27 11:05:23 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7819, precision: 0.6379, hmean: 0.7026 2022/08/27 11:05:23 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7819, precision: 0.6379, hmean: 0.7026 2022/08/27 11:05:23 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7819, precision: 0.6379, hmean: 0.7026 2022/08/27 11:05:23 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7819, precision: 0.6741, hmean: 0.7240 2022/08/27 11:05:23 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7819, precision: 0.7215, hmean: 0.7505 2022/08/27 11:05:23 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7780, precision: 0.7710, hmean: 0.7745 2022/08/27 11:05:23 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7631, precision: 0.8311, hmean: 0.7957 2022/08/27 11:05:23 - mmengine - INFO - Epoch(val) [520][500/500] icdar/precision: 0.8311 icdar/recall: 0.7631 icdar/hmean: 0.7957 2022/08/27 11:07:07 - mmengine - INFO - Epoch(train) [521][5/63] lr: 1.0000e-06 eta: 0:00:00 time: 11.8513 data_time: 9.1015 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0670 loss: 0.2126 2022/08/27 11:07:23 - mmengine - INFO - Epoch(train) [521][10/63] lr: 1.0000e-06 eta: 5:18:58 time: 11.9996 data_time: 9.0802 memory: 28971 loss_text: 0.1462 loss_kernel: 0.0676 loss: 0.2138 2022/08/27 11:07:29 - mmengine - INFO - Epoch(train) [521][15/63] lr: 1.0000e-06 eta: 5:18:58 time: 2.2676 data_time: 0.1812 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0618 loss: 0.1914 2022/08/27 11:07:46 - mmengine - INFO - Epoch(train) [521][20/63] lr: 1.0000e-06 eta: 5:18:18 time: 2.3146 data_time: 0.1638 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0593 loss: 0.1841 2022/08/27 11:07:52 - mmengine - INFO - Epoch(train) [521][25/63] lr: 1.0000e-06 eta: 5:18:18 time: 2.2819 data_time: 0.1429 memory: 28971 loss_text: 0.1396 loss_kernel: 0.0653 loss: 0.2049 2022/08/27 11:08:10 - mmengine - INFO - Epoch(train) [521][30/63] lr: 1.0000e-06 eta: 5:17:38 time: 2.3948 data_time: 0.1385 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0569 loss: 0.1771 2022/08/27 11:08:27 - mmengine - INFO - Epoch(train) [521][35/63] lr: 1.0000e-06 eta: 5:17:38 time: 3.4945 data_time: 0.1345 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0581 loss: 0.1806 2022/08/27 11:08:32 - mmengine - INFO - Epoch(train) [521][40/63] lr: 1.0000e-06 eta: 5:16:57 time: 2.2203 data_time: 0.1795 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0702 loss: 0.2210 2022/08/27 11:08:49 - mmengine - INFO - Epoch(train) [521][45/63] lr: 1.0000e-06 eta: 5:16:57 time: 2.1653 data_time: 0.1190 memory: 28971 loss_text: 0.0993 loss_kernel: 0.0487 loss: 0.1480 2022/08/27 11:09:06 - mmengine - INFO - Epoch(train) [521][50/63] lr: 1.0000e-06 eta: 5:16:18 time: 3.3021 data_time: 0.0971 memory: 28971 loss_text: 0.0901 loss_kernel: 0.0450 loss: 0.1351 2022/08/27 11:09:13 - mmengine - INFO - Epoch(train) [521][55/63] lr: 1.0000e-06 eta: 5:16:18 time: 2.4856 data_time: 0.1328 memory: 28971 loss_text: 0.1179 loss_kernel: 0.0563 loss: 0.1742 2022/08/27 11:09:21 - mmengine - INFO - Epoch(train) [521][60/63] lr: 1.0000e-06 eta: 5:15:37 time: 1.5251 data_time: 0.1572 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0602 loss: 0.1881 2022/08/27 11:09:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:11:18 - mmengine - INFO - Epoch(train) [522][5/63] lr: 1.0000e-06 eta: 5:15:37 time: 11.8019 data_time: 9.4384 memory: 28971 loss_text: 0.1536 loss_kernel: 0.0714 loss: 0.2250 2022/08/27 11:11:23 - mmengine - INFO - Epoch(train) [522][10/63] lr: 1.0000e-06 eta: 5:14:57 time: 11.1672 data_time: 9.4791 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0616 loss: 0.1903 2022/08/27 11:11:37 - mmengine - INFO - Epoch(train) [522][15/63] lr: 1.0000e-06 eta: 5:14:57 time: 1.9674 data_time: 0.1071 memory: 28971 loss_text: 0.1092 loss_kernel: 0.0533 loss: 0.1625 2022/08/27 11:11:42 - mmengine - INFO - Epoch(train) [522][20/63] lr: 1.0000e-06 eta: 5:14:16 time: 1.8426 data_time: 0.0970 memory: 28971 loss_text: 0.1147 loss_kernel: 0.0549 loss: 0.1696 2022/08/27 11:11:53 - mmengine - INFO - Epoch(train) [522][25/63] lr: 1.0000e-06 eta: 5:14:16 time: 1.5065 data_time: 0.0851 memory: 28971 loss_text: 0.1342 loss_kernel: 0.0629 loss: 0.1971 2022/08/27 11:12:03 - mmengine - INFO - Epoch(train) [522][30/63] lr: 1.0000e-06 eta: 5:13:35 time: 2.1334 data_time: 0.1873 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0677 loss: 0.2135 2022/08/27 11:12:13 - mmengine - INFO - Epoch(train) [522][35/63] lr: 1.0000e-06 eta: 5:13:35 time: 2.0308 data_time: 0.2236 memory: 28971 loss_text: 0.1078 loss_kernel: 0.0517 loss: 0.1595 2022/08/27 11:12:22 - mmengine - INFO - Epoch(train) [522][40/63] lr: 1.0000e-06 eta: 5:12:54 time: 1.8746 data_time: 0.1224 memory: 28971 loss_text: 0.1110 loss_kernel: 0.0536 loss: 0.1646 2022/08/27 11:12:28 - mmengine - INFO - Epoch(train) [522][45/63] lr: 1.0000e-06 eta: 5:12:54 time: 1.5884 data_time: 0.0852 memory: 28971 loss_text: 0.1161 loss_kernel: 0.0561 loss: 0.1721 2022/08/27 11:12:44 - mmengine - INFO - Epoch(train) [522][50/63] lr: 1.0000e-06 eta: 5:12:14 time: 2.1604 data_time: 0.0648 memory: 28971 loss_text: 0.1026 loss_kernel: 0.0499 loss: 0.1525 2022/08/27 11:12:52 - mmengine - INFO - Epoch(train) [522][55/63] lr: 1.0000e-06 eta: 5:12:14 time: 2.4048 data_time: 0.0630 memory: 28971 loss_text: 0.1239 loss_kernel: 0.0587 loss: 0.1826 2022/08/27 11:13:08 - mmengine - INFO - Epoch(train) [522][60/63] lr: 1.0000e-06 eta: 5:11:34 time: 2.4023 data_time: 0.1358 memory: 28971 loss_text: 0.1382 loss_kernel: 0.0645 loss: 0.2027 2022/08/27 11:13:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:14:52 - mmengine - INFO - Epoch(train) [523][5/63] lr: 1.0000e-06 eta: 5:11:34 time: 10.7391 data_time: 8.9725 memory: 28971 loss_text: 0.1275 loss_kernel: 0.0603 loss: 0.1877 2022/08/27 11:14:57 - mmengine - INFO - Epoch(train) [523][10/63] lr: 1.0000e-06 eta: 5:10:53 time: 10.5084 data_time: 8.9087 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0652 loss: 0.2038 2022/08/27 11:15:12 - mmengine - INFO - Epoch(train) [523][15/63] lr: 1.0000e-06 eta: 5:10:53 time: 1.9344 data_time: 0.0988 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0709 loss: 0.2219 2022/08/27 11:15:17 - mmengine - INFO - Epoch(train) [523][20/63] lr: 1.0000e-06 eta: 5:10:12 time: 1.9097 data_time: 0.1060 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0611 loss: 0.1903 2022/08/27 11:15:32 - mmengine - INFO - Epoch(train) [523][25/63] lr: 1.0000e-06 eta: 5:10:12 time: 2.0201 data_time: 0.1487 memory: 28971 loss_text: 0.1134 loss_kernel: 0.0532 loss: 0.1666 2022/08/27 11:15:36 - mmengine - INFO - Epoch(train) [523][30/63] lr: 1.0000e-06 eta: 5:09:31 time: 1.9696 data_time: 0.1271 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0503 loss: 0.1557 2022/08/27 11:15:51 - mmengine - INFO - Epoch(train) [523][35/63] lr: 1.0000e-06 eta: 5:09:31 time: 1.8739 data_time: 0.0819 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0633 loss: 0.1970 2022/08/27 11:15:56 - mmengine - INFO - Epoch(train) [523][40/63] lr: 1.0000e-06 eta: 5:08:50 time: 1.9364 data_time: 0.1041 memory: 28971 loss_text: 0.1396 loss_kernel: 0.0653 loss: 0.2049 2022/08/27 11:16:10 - mmengine - INFO - Epoch(train) [523][45/63] lr: 1.0000e-06 eta: 5:08:50 time: 1.9469 data_time: 0.1082 memory: 28971 loss_text: 0.1146 loss_kernel: 0.0543 loss: 0.1689 2022/08/27 11:16:16 - mmengine - INFO - Epoch(train) [523][50/63] lr: 1.0000e-06 eta: 5:08:10 time: 2.0036 data_time: 0.1251 memory: 28971 loss_text: 0.1101 loss_kernel: 0.0521 loss: 0.1622 2022/08/27 11:16:31 - mmengine - INFO - Epoch(train) [523][55/63] lr: 1.0000e-06 eta: 5:08:10 time: 2.0254 data_time: 0.1162 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0571 loss: 0.1786 2022/08/27 11:16:36 - mmengine - INFO - Epoch(train) [523][60/63] lr: 1.0000e-06 eta: 5:07:29 time: 2.0260 data_time: 0.1605 memory: 28971 loss_text: 0.1513 loss_kernel: 0.0694 loss: 0.2207 2022/08/27 11:16:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:18:21 - mmengine - INFO - Epoch(train) [524][5/63] lr: 1.0000e-06 eta: 5:07:29 time: 10.6476 data_time: 8.9875 memory: 28971 loss_text: 0.1335 loss_kernel: 0.0629 loss: 0.1964 2022/08/27 11:18:26 - mmengine - INFO - Epoch(train) [524][10/63] lr: 1.0000e-06 eta: 5:06:48 time: 10.7270 data_time: 9.0280 memory: 28971 loss_text: 0.1543 loss_kernel: 0.0710 loss: 0.2253 2022/08/27 11:18:40 - mmengine - INFO - Epoch(train) [524][15/63] lr: 1.0000e-06 eta: 5:06:48 time: 1.8691 data_time: 0.0840 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0695 loss: 0.2199 2022/08/27 11:18:45 - mmengine - INFO - Epoch(train) [524][20/63] lr: 1.0000e-06 eta: 5:06:07 time: 1.8901 data_time: 0.1529 memory: 28971 loss_text: 0.1239 loss_kernel: 0.0590 loss: 0.1829 2022/08/27 11:19:00 - mmengine - INFO - Epoch(train) [524][25/63] lr: 1.0000e-06 eta: 5:06:07 time: 2.0038 data_time: 0.1608 memory: 28971 loss_text: 0.1162 loss_kernel: 0.0558 loss: 0.1719 2022/08/27 11:19:13 - mmengine - INFO - Epoch(train) [524][30/63] lr: 1.0000e-06 eta: 5:05:28 time: 2.8081 data_time: 0.0900 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0599 loss: 0.1867 2022/08/27 11:19:23 - mmengine - INFO - Epoch(train) [524][35/63] lr: 1.0000e-06 eta: 5:05:28 time: 2.2944 data_time: 0.1266 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0600 loss: 0.1857 2022/08/27 11:19:27 - mmengine - INFO - Epoch(train) [524][40/63] lr: 1.0000e-06 eta: 5:04:46 time: 1.4196 data_time: 0.0991 memory: 28971 loss_text: 0.1239 loss_kernel: 0.0589 loss: 0.1828 2022/08/27 11:19:41 - mmengine - INFO - Epoch(train) [524][45/63] lr: 1.0000e-06 eta: 5:04:46 time: 1.7975 data_time: 0.0930 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0639 loss: 0.1991 2022/08/27 11:19:53 - mmengine - INFO - Epoch(train) [524][50/63] lr: 1.0000e-06 eta: 5:04:06 time: 2.5009 data_time: 0.1199 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0586 loss: 0.1804 2022/08/27 11:19:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:20:01 - mmengine - INFO - Epoch(train) [524][55/63] lr: 1.0000e-06 eta: 5:04:06 time: 2.0205 data_time: 0.1965 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0595 loss: 0.1843 2022/08/27 11:20:18 - mmengine - INFO - Epoch(train) [524][60/63] lr: 1.0000e-06 eta: 5:03:27 time: 2.5579 data_time: 0.1770 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0683 loss: 0.2154 2022/08/27 11:20:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:21:58 - mmengine - INFO - Epoch(train) [525][5/63] lr: 1.0000e-06 eta: 5:03:27 time: 11.3726 data_time: 8.6327 memory: 28971 loss_text: 0.1474 loss_kernel: 0.0679 loss: 0.2153 2022/08/27 11:22:02 - mmengine - INFO - Epoch(train) [525][10/63] lr: 1.0000e-06 eta: 5:02:44 time: 9.8146 data_time: 8.5884 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0544 loss: 0.1679 2022/08/27 11:22:12 - mmengine - INFO - Epoch(train) [525][15/63] lr: 1.0000e-06 eta: 5:02:44 time: 1.4711 data_time: 0.0498 memory: 28971 loss_text: 0.0917 loss_kernel: 0.0447 loss: 0.1364 2022/08/27 11:22:17 - mmengine - INFO - Epoch(train) [525][20/63] lr: 1.0000e-06 eta: 5:02:03 time: 1.5360 data_time: 0.0554 memory: 28971 loss_text: 0.1081 loss_kernel: 0.0515 loss: 0.1596 2022/08/27 11:22:22 - mmengine - INFO - Epoch(train) [525][25/63] lr: 1.0000e-06 eta: 5:02:03 time: 0.9440 data_time: 0.0416 memory: 28971 loss_text: 0.1080 loss_kernel: 0.0515 loss: 0.1595 2022/08/27 11:22:26 - mmengine - INFO - Epoch(train) [525][30/63] lr: 1.0000e-06 eta: 5:01:21 time: 0.8800 data_time: 0.0241 memory: 28971 loss_text: 0.1049 loss_kernel: 0.0497 loss: 0.1546 2022/08/27 11:22:33 - mmengine - INFO - Epoch(train) [525][35/63] lr: 1.0000e-06 eta: 5:01:21 time: 1.0735 data_time: 0.0359 memory: 28971 loss_text: 0.1428 loss_kernel: 0.0658 loss: 0.2086 2022/08/27 11:22:37 - mmengine - INFO - Epoch(train) [525][40/63] lr: 1.0000e-06 eta: 5:00:39 time: 1.0454 data_time: 0.0303 memory: 28971 loss_text: 0.1425 loss_kernel: 0.0673 loss: 0.2098 2022/08/27 11:22:44 - mmengine - INFO - Epoch(train) [525][45/63] lr: 1.0000e-06 eta: 5:00:39 time: 1.1130 data_time: 0.0331 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0635 loss: 0.1962 2022/08/27 11:22:51 - mmengine - INFO - Epoch(train) [525][50/63] lr: 1.0000e-06 eta: 4:59:57 time: 1.4140 data_time: 0.0666 memory: 28971 loss_text: 0.1450 loss_kernel: 0.0676 loss: 0.2126 2022/08/27 11:22:56 - mmengine - INFO - Epoch(train) [525][55/63] lr: 1.0000e-06 eta: 4:59:57 time: 1.2135 data_time: 0.0648 memory: 28971 loss_text: 0.1589 loss_kernel: 0.0734 loss: 0.2323 2022/08/27 11:23:03 - mmengine - INFO - Epoch(train) [525][60/63] lr: 1.0000e-06 eta: 4:59:16 time: 1.2622 data_time: 0.0364 memory: 28971 loss_text: 0.1466 loss_kernel: 0.0681 loss: 0.2147 2022/08/27 11:23:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:24:47 - mmengine - INFO - Epoch(train) [526][5/63] lr: 1.0000e-06 eta: 4:59:16 time: 10.8821 data_time: 8.7756 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0594 loss: 0.1824 2022/08/27 11:24:52 - mmengine - INFO - Epoch(train) [526][10/63] lr: 1.0000e-06 eta: 4:58:34 time: 10.4401 data_time: 8.7729 memory: 28971 loss_text: 0.1531 loss_kernel: 0.0711 loss: 0.2242 2022/08/27 11:25:06 - mmengine - INFO - Epoch(train) [526][15/63] lr: 1.0000e-06 eta: 4:58:34 time: 1.8864 data_time: 0.0676 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0664 loss: 0.2094 2022/08/27 11:25:11 - mmengine - INFO - Epoch(train) [526][20/63] lr: 1.0000e-06 eta: 4:57:54 time: 1.8636 data_time: 0.0847 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0563 loss: 0.1752 2022/08/27 11:25:22 - mmengine - INFO - Epoch(train) [526][25/63] lr: 1.0000e-06 eta: 4:57:54 time: 1.5979 data_time: 0.1211 memory: 28971 loss_text: 0.1080 loss_kernel: 0.0520 loss: 0.1600 2022/08/27 11:25:27 - mmengine - INFO - Epoch(train) [526][30/63] lr: 1.0000e-06 eta: 4:57:12 time: 1.5841 data_time: 0.0947 memory: 28971 loss_text: 0.1070 loss_kernel: 0.0517 loss: 0.1586 2022/08/27 11:25:42 - mmengine - INFO - Epoch(train) [526][35/63] lr: 1.0000e-06 eta: 4:57:12 time: 1.9793 data_time: 0.1162 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0628 loss: 0.1969 2022/08/27 11:25:46 - mmengine - INFO - Epoch(train) [526][40/63] lr: 1.0000e-06 eta: 4:56:32 time: 1.9478 data_time: 0.1151 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0701 loss: 0.2206 2022/08/27 11:26:01 - mmengine - INFO - Epoch(train) [526][45/63] lr: 1.0000e-06 eta: 4:56:32 time: 1.8546 data_time: 0.0755 memory: 28971 loss_text: 0.1336 loss_kernel: 0.0630 loss: 0.1966 2022/08/27 11:26:05 - mmengine - INFO - Epoch(train) [526][50/63] lr: 1.0000e-06 eta: 4:55:51 time: 1.8773 data_time: 0.0894 memory: 28971 loss_text: 0.1125 loss_kernel: 0.0538 loss: 0.1662 2022/08/27 11:26:20 - mmengine - INFO - Epoch(train) [526][55/63] lr: 1.0000e-06 eta: 4:55:51 time: 1.9327 data_time: 0.0803 memory: 28971 loss_text: 0.1081 loss_kernel: 0.0524 loss: 0.1605 2022/08/27 11:26:25 - mmengine - INFO - Epoch(train) [526][60/63] lr: 1.0000e-06 eta: 4:55:11 time: 2.0069 data_time: 0.1667 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0542 loss: 0.1684 2022/08/27 11:26:28 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:28:12 - mmengine - INFO - Epoch(train) [527][5/63] lr: 1.0000e-06 eta: 4:55:11 time: 10.8081 data_time: 9.1948 memory: 28971 loss_text: 0.0963 loss_kernel: 0.0464 loss: 0.1427 2022/08/27 11:28:17 - mmengine - INFO - Epoch(train) [527][10/63] lr: 1.0000e-06 eta: 4:54:30 time: 10.8610 data_time: 9.2299 memory: 28971 loss_text: 0.1028 loss_kernel: 0.0492 loss: 0.1520 2022/08/27 11:28:31 - mmengine - INFO - Epoch(train) [527][15/63] lr: 1.0000e-06 eta: 4:54:30 time: 1.9150 data_time: 0.0804 memory: 28971 loss_text: 0.1112 loss_kernel: 0.0524 loss: 0.1636 2022/08/27 11:28:36 - mmengine - INFO - Epoch(train) [527][20/63] lr: 1.0000e-06 eta: 4:53:49 time: 1.8683 data_time: 0.0887 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0536 loss: 0.1665 2022/08/27 11:28:52 - mmengine - INFO - Epoch(train) [527][25/63] lr: 1.0000e-06 eta: 4:53:49 time: 2.0718 data_time: 0.1120 memory: 28971 loss_text: 0.1136 loss_kernel: 0.0544 loss: 0.1680 2022/08/27 11:28:57 - mmengine - INFO - Epoch(train) [527][30/63] lr: 1.0000e-06 eta: 4:53:09 time: 2.1183 data_time: 0.1314 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0597 loss: 0.1862 2022/08/27 11:29:10 - mmengine - INFO - Epoch(train) [527][35/63] lr: 1.0000e-06 eta: 4:53:09 time: 1.8581 data_time: 0.1277 memory: 28971 loss_text: 0.1513 loss_kernel: 0.0707 loss: 0.2220 2022/08/27 11:29:15 - mmengine - INFO - Epoch(train) [527][40/63] lr: 1.0000e-06 eta: 4:52:28 time: 1.8240 data_time: 0.1147 memory: 28971 loss_text: 0.1646 loss_kernel: 0.0765 loss: 0.2411 2022/08/27 11:29:28 - mmengine - INFO - Epoch(train) [527][45/63] lr: 1.0000e-06 eta: 4:52:28 time: 1.7360 data_time: 0.0786 memory: 28971 loss_text: 0.1711 loss_kernel: 0.0786 loss: 0.2496 2022/08/27 11:29:34 - mmengine - INFO - Epoch(train) [527][50/63] lr: 1.0000e-06 eta: 4:51:47 time: 1.9257 data_time: 0.1274 memory: 28971 loss_text: 0.1588 loss_kernel: 0.0709 loss: 0.2297 2022/08/27 11:29:41 - mmengine - INFO - Epoch(train) [527][55/63] lr: 1.0000e-06 eta: 4:51:47 time: 1.3433 data_time: 0.1178 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0599 loss: 0.1914 2022/08/27 11:29:56 - mmengine - INFO - Epoch(train) [527][60/63] lr: 1.0000e-06 eta: 4:51:07 time: 2.1681 data_time: 0.1437 memory: 28971 loss_text: 0.1170 loss_kernel: 0.0562 loss: 0.1732 2022/08/27 11:30:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:31:52 - mmengine - INFO - Epoch(train) [528][5/63] lr: 1.0000e-06 eta: 4:51:07 time: 11.7454 data_time: 9.3090 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0637 loss: 0.1979 2022/08/27 11:31:58 - mmengine - INFO - Epoch(train) [528][10/63] lr: 1.0000e-06 eta: 4:50:26 time: 10.9697 data_time: 9.2868 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0648 loss: 0.2035 2022/08/27 11:32:12 - mmengine - INFO - Epoch(train) [528][15/63] lr: 1.0000e-06 eta: 4:50:26 time: 1.9545 data_time: 0.0921 memory: 28971 loss_text: 0.1314 loss_kernel: 0.0614 loss: 0.1928 2022/08/27 11:32:17 - mmengine - INFO - Epoch(train) [528][20/63] lr: 1.0000e-06 eta: 4:49:45 time: 1.8805 data_time: 0.0912 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0655 loss: 0.2073 2022/08/27 11:32:32 - mmengine - INFO - Epoch(train) [528][25/63] lr: 1.0000e-06 eta: 4:49:45 time: 2.0243 data_time: 0.1236 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0675 loss: 0.2181 2022/08/27 11:32:37 - mmengine - INFO - Epoch(train) [528][30/63] lr: 1.0000e-06 eta: 4:49:05 time: 2.0103 data_time: 0.1146 memory: 28971 loss_text: 0.1600 loss_kernel: 0.0723 loss: 0.2323 2022/08/27 11:32:51 - mmengine - INFO - Epoch(train) [528][35/63] lr: 1.0000e-06 eta: 4:49:05 time: 1.8941 data_time: 0.1385 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0665 loss: 0.2083 2022/08/27 11:32:56 - mmengine - INFO - Epoch(train) [528][40/63] lr: 1.0000e-06 eta: 4:48:24 time: 1.8731 data_time: 0.1260 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0596 loss: 0.1855 2022/08/27 11:33:13 - mmengine - INFO - Epoch(train) [528][45/63] lr: 1.0000e-06 eta: 4:48:24 time: 2.2218 data_time: 0.0940 memory: 28971 loss_text: 0.1172 loss_kernel: 0.0567 loss: 0.1740 2022/08/27 11:33:18 - mmengine - INFO - Epoch(train) [528][50/63] lr: 1.0000e-06 eta: 4:47:44 time: 2.2588 data_time: 0.1434 memory: 28971 loss_text: 0.1015 loss_kernel: 0.0501 loss: 0.1516 2022/08/27 11:33:38 - mmengine - INFO - Epoch(train) [528][55/63] lr: 1.0000e-06 eta: 4:47:44 time: 2.5091 data_time: 0.0996 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0572 loss: 0.1784 2022/08/27 11:33:46 - mmengine - INFO - Epoch(train) [528][60/63] lr: 1.0000e-06 eta: 4:47:05 time: 2.7613 data_time: 0.1230 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0690 loss: 0.2151 2022/08/27 11:33:49 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:35:32 - mmengine - INFO - Epoch(train) [529][5/63] lr: 1.0000e-06 eta: 4:47:05 time: 10.9725 data_time: 9.1669 memory: 28971 loss_text: 0.1210 loss_kernel: 0.0581 loss: 0.1790 2022/08/27 11:35:38 - mmengine - INFO - Epoch(train) [529][10/63] lr: 1.0000e-06 eta: 4:46:24 time: 10.8793 data_time: 9.2331 memory: 28971 loss_text: 0.0945 loss_kernel: 0.0464 loss: 0.1409 2022/08/27 11:35:53 - mmengine - INFO - Epoch(train) [529][15/63] lr: 1.0000e-06 eta: 4:46:24 time: 2.0508 data_time: 0.1174 memory: 28971 loss_text: 0.1048 loss_kernel: 0.0511 loss: 0.1560 2022/08/27 11:35:58 - mmengine - INFO - Epoch(train) [529][20/63] lr: 1.0000e-06 eta: 4:45:43 time: 2.0165 data_time: 0.1113 memory: 28971 loss_text: 0.1616 loss_kernel: 0.0746 loss: 0.2362 2022/08/27 11:36:12 - mmengine - INFO - Epoch(train) [529][25/63] lr: 1.0000e-06 eta: 4:45:43 time: 1.9440 data_time: 0.1238 memory: 28971 loss_text: 0.1770 loss_kernel: 0.0808 loss: 0.2578 2022/08/27 11:36:17 - mmengine - INFO - Epoch(train) [529][30/63] lr: 1.0000e-06 eta: 4:45:03 time: 1.9386 data_time: 0.1053 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0609 loss: 0.1919 2022/08/27 11:36:31 - mmengine - INFO - Epoch(train) [529][35/63] lr: 1.0000e-06 eta: 4:45:03 time: 1.8693 data_time: 0.1139 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0561 loss: 0.1757 2022/08/27 11:36:36 - mmengine - INFO - Epoch(train) [529][40/63] lr: 1.0000e-06 eta: 4:44:22 time: 1.8280 data_time: 0.0984 memory: 28971 loss_text: 0.1158 loss_kernel: 0.0543 loss: 0.1701 2022/08/27 11:36:49 - mmengine - INFO - Epoch(train) [529][45/63] lr: 1.0000e-06 eta: 4:44:22 time: 1.8067 data_time: 0.0620 memory: 28971 loss_text: 0.1129 loss_kernel: 0.0533 loss: 0.1661 2022/08/27 11:36:55 - mmengine - INFO - Epoch(train) [529][50/63] lr: 1.0000e-06 eta: 4:43:42 time: 1.9016 data_time: 0.1148 memory: 28971 loss_text: 0.1209 loss_kernel: 0.0568 loss: 0.1777 2022/08/27 11:37:10 - mmengine - INFO - Epoch(train) [529][55/63] lr: 1.0000e-06 eta: 4:43:42 time: 2.1045 data_time: 0.1516 memory: 28971 loss_text: 0.1109 loss_kernel: 0.0526 loss: 0.1635 2022/08/27 11:37:17 - mmengine - INFO - Epoch(train) [529][60/63] lr: 1.0000e-06 eta: 4:43:02 time: 2.2220 data_time: 0.2157 memory: 28971 loss_text: 0.1259 loss_kernel: 0.0596 loss: 0.1855 2022/08/27 11:37:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:39:18 - mmengine - INFO - Epoch(train) [530][5/63] lr: 1.0000e-06 eta: 4:43:02 time: 12.2343 data_time: 9.4182 memory: 28971 loss_text: 0.1129 loss_kernel: 0.0537 loss: 0.1666 2022/08/27 11:39:23 - mmengine - INFO - Epoch(train) [530][10/63] lr: 1.0000e-06 eta: 4:42:21 time: 11.1319 data_time: 9.4284 memory: 28971 loss_text: 0.1251 loss_kernel: 0.0594 loss: 0.1845 2022/08/27 11:39:39 - mmengine - INFO - Epoch(train) [530][15/63] lr: 1.0000e-06 eta: 4:42:21 time: 2.0896 data_time: 0.0807 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0562 loss: 0.1748 2022/08/27 11:39:45 - mmengine - INFO - Epoch(train) [530][20/63] lr: 1.0000e-06 eta: 4:41:40 time: 2.1231 data_time: 0.1142 memory: 28971 loss_text: 0.1301 loss_kernel: 0.0594 loss: 0.1894 2022/08/27 11:39:59 - mmengine - INFO - Epoch(train) [530][25/63] lr: 1.0000e-06 eta: 4:41:40 time: 1.9903 data_time: 0.1249 memory: 28971 loss_text: 0.1050 loss_kernel: 0.0494 loss: 0.1544 2022/08/27 11:40:12 - mmengine - INFO - Epoch(train) [530][30/63] lr: 1.0000e-06 eta: 4:41:01 time: 2.7521 data_time: 0.0917 memory: 28971 loss_text: 0.0936 loss_kernel: 0.0463 loss: 0.1398 2022/08/27 11:40:19 - mmengine - INFO - Epoch(train) [530][35/63] lr: 1.0000e-06 eta: 4:41:01 time: 2.0738 data_time: 0.1224 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0597 loss: 0.1858 2022/08/27 11:40:27 - mmengine - INFO - Epoch(train) [530][40/63] lr: 1.0000e-06 eta: 4:40:20 time: 1.4924 data_time: 0.0850 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0643 loss: 0.2014 2022/08/27 11:40:35 - mmengine - INFO - Epoch(train) [530][45/63] lr: 1.0000e-06 eta: 4:40:20 time: 1.6057 data_time: 0.0865 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0567 loss: 0.1756 2022/08/27 11:40:46 - mmengine - INFO - Epoch(train) [530][50/63] lr: 1.0000e-06 eta: 4:39:40 time: 1.8887 data_time: 0.0986 memory: 28971 loss_text: 0.1154 loss_kernel: 0.0551 loss: 0.1705 2022/08/27 11:41:09 - mmengine - INFO - Epoch(train) [530][55/63] lr: 1.0000e-06 eta: 4:39:40 time: 3.3642 data_time: 0.0703 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0579 loss: 0.1778 2022/08/27 11:41:21 - mmengine - INFO - Epoch(train) [530][60/63] lr: 1.0000e-06 eta: 4:39:01 time: 3.5017 data_time: 0.0981 memory: 28971 loss_text: 0.1065 loss_kernel: 0.0522 loss: 0.1586 2022/08/27 11:41:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:43:11 - mmengine - INFO - Epoch(train) [531][5/63] lr: 1.0000e-06 eta: 4:39:01 time: 11.2103 data_time: 9.1595 memory: 28971 loss_text: 0.1263 loss_kernel: 0.0595 loss: 0.1858 2022/08/27 11:43:16 - mmengine - INFO - Epoch(train) [531][10/63] lr: 1.0000e-06 eta: 4:38:20 time: 10.7094 data_time: 9.0389 memory: 28971 loss_text: 0.1677 loss_kernel: 0.0774 loss: 0.2451 2022/08/27 11:43:30 - mmengine - INFO - Epoch(train) [531][15/63] lr: 1.0000e-06 eta: 4:38:20 time: 1.8419 data_time: 0.1007 memory: 28971 loss_text: 0.1582 loss_kernel: 0.0739 loss: 0.2322 2022/08/27 11:43:35 - mmengine - INFO - Epoch(train) [531][20/63] lr: 1.0000e-06 eta: 4:37:39 time: 1.8315 data_time: 0.1140 memory: 28971 loss_text: 0.1254 loss_kernel: 0.0598 loss: 0.1852 2022/08/27 11:43:47 - mmengine - INFO - Epoch(train) [531][25/63] lr: 1.0000e-06 eta: 4:37:39 time: 1.7350 data_time: 0.1252 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0566 loss: 0.1773 2022/08/27 11:43:52 - mmengine - INFO - Epoch(train) [531][30/63] lr: 1.0000e-06 eta: 4:36:58 time: 1.7433 data_time: 0.1039 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0571 loss: 0.1786 2022/08/27 11:44:08 - mmengine - INFO - Epoch(train) [531][35/63] lr: 1.0000e-06 eta: 4:36:58 time: 2.0391 data_time: 0.1178 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0506 loss: 0.1564 2022/08/27 11:44:12 - mmengine - INFO - Epoch(train) [531][40/63] lr: 1.0000e-06 eta: 4:36:18 time: 1.9947 data_time: 0.1062 memory: 28971 loss_text: 0.1179 loss_kernel: 0.0555 loss: 0.1734 2022/08/27 11:44:28 - mmengine - INFO - Epoch(train) [531][45/63] lr: 1.0000e-06 eta: 4:36:18 time: 2.0325 data_time: 0.1797 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0592 loss: 0.1835 2022/08/27 11:44:33 - mmengine - INFO - Epoch(train) [531][50/63] lr: 1.0000e-06 eta: 4:35:38 time: 2.0747 data_time: 0.1975 memory: 28971 loss_text: 0.0993 loss_kernel: 0.0485 loss: 0.1478 2022/08/27 11:44:48 - mmengine - INFO - Epoch(train) [531][55/63] lr: 1.0000e-06 eta: 4:35:38 time: 2.0105 data_time: 0.1023 memory: 28971 loss_text: 0.0969 loss_kernel: 0.0468 loss: 0.1437 2022/08/27 11:44:58 - mmengine - INFO - Epoch(train) [531][60/63] lr: 1.0000e-06 eta: 4:34:58 time: 2.4994 data_time: 0.1248 memory: 28971 loss_text: 0.1013 loss_kernel: 0.0492 loss: 0.1505 2022/08/27 11:45:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:46:52 - mmengine - INFO - Epoch(train) [532][5/63] lr: 1.0000e-06 eta: 4:34:58 time: 11.9574 data_time: 9.2684 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0606 loss: 0.1883 2022/08/27 11:46:56 - mmengine - INFO - Epoch(train) [532][10/63] lr: 1.0000e-06 eta: 4:34:17 time: 10.9054 data_time: 9.2693 memory: 28971 loss_text: 0.1055 loss_kernel: 0.0518 loss: 0.1573 2022/08/27 11:47:10 - mmengine - INFO - Epoch(train) [532][15/63] lr: 1.0000e-06 eta: 4:34:17 time: 1.8693 data_time: 0.0801 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0583 loss: 0.1791 2022/08/27 11:47:28 - mmengine - INFO - Epoch(train) [532][20/63] lr: 1.0000e-06 eta: 4:33:38 time: 3.1196 data_time: 0.4297 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0586 loss: 0.1821 2022/08/27 11:47:34 - mmengine - INFO - Epoch(train) [532][25/63] lr: 1.0000e-06 eta: 4:33:38 time: 2.4004 data_time: 0.4827 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0649 loss: 0.2016 2022/08/27 11:47:53 - mmengine - INFO - Epoch(train) [532][30/63] lr: 1.0000e-06 eta: 4:32:58 time: 2.4946 data_time: 0.1241 memory: 28971 loss_text: 0.1468 loss_kernel: 0.0682 loss: 0.2150 2022/08/27 11:47:58 - mmengine - INFO - Epoch(train) [532][35/63] lr: 1.0000e-06 eta: 4:32:58 time: 2.3843 data_time: 0.1431 memory: 28971 loss_text: 0.1188 loss_kernel: 0.0558 loss: 0.1746 2022/08/27 11:48:13 - mmengine - INFO - Epoch(train) [532][40/63] lr: 1.0000e-06 eta: 4:32:18 time: 2.0645 data_time: 0.2225 memory: 28971 loss_text: 0.1123 loss_kernel: 0.0534 loss: 0.1657 2022/08/27 11:48:27 - mmengine - INFO - Epoch(train) [532][45/63] lr: 1.0000e-06 eta: 4:32:18 time: 2.9085 data_time: 0.1887 memory: 28971 loss_text: 0.1081 loss_kernel: 0.0518 loss: 0.1599 2022/08/27 11:48:35 - mmengine - INFO - Epoch(train) [532][50/63] lr: 1.0000e-06 eta: 4:31:38 time: 2.1868 data_time: 0.1297 memory: 28971 loss_text: 0.1213 loss_kernel: 0.0577 loss: 0.1790 2022/08/27 11:48:42 - mmengine - INFO - Epoch(train) [532][55/63] lr: 1.0000e-06 eta: 4:31:38 time: 1.4824 data_time: 0.0826 memory: 28971 loss_text: 0.1464 loss_kernel: 0.0685 loss: 0.2149 2022/08/27 11:48:53 - mmengine - INFO - Epoch(train) [532][60/63] lr: 1.0000e-06 eta: 4:30:58 time: 1.7744 data_time: 0.0940 memory: 28971 loss_text: 0.1412 loss_kernel: 0.0661 loss: 0.2072 2022/08/27 11:48:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:50:41 - mmengine - INFO - Epoch(train) [533][5/63] lr: 1.0000e-06 eta: 4:30:58 time: 10.9559 data_time: 9.2348 memory: 28971 loss_text: 0.1539 loss_kernel: 0.0706 loss: 0.2245 2022/08/27 11:50:47 - mmengine - INFO - Epoch(train) [533][10/63] lr: 1.0000e-06 eta: 4:30:16 time: 10.9246 data_time: 9.2327 memory: 28971 loss_text: 0.1149 loss_kernel: 0.0545 loss: 0.1694 2022/08/27 11:51:03 - mmengine - INFO - Epoch(train) [533][15/63] lr: 1.0000e-06 eta: 4:30:16 time: 2.2259 data_time: 0.1345 memory: 28971 loss_text: 0.0889 loss_kernel: 0.0430 loss: 0.1319 2022/08/27 11:51:16 - mmengine - INFO - Epoch(train) [533][20/63] lr: 1.0000e-06 eta: 4:29:37 time: 2.8239 data_time: 0.1320 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0597 loss: 0.1888 2022/08/27 11:51:26 - mmengine - INFO - Epoch(train) [533][25/63] lr: 1.0000e-06 eta: 4:29:37 time: 2.3073 data_time: 0.2072 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0627 loss: 0.1964 2022/08/27 11:51:43 - mmengine - INFO - Epoch(train) [533][30/63] lr: 1.0000e-06 eta: 4:28:58 time: 2.7962 data_time: 0.2607 memory: 28971 loss_text: 0.1184 loss_kernel: 0.0567 loss: 0.1751 2022/08/27 11:52:02 - mmengine - INFO - Epoch(train) [533][35/63] lr: 1.0000e-06 eta: 4:28:58 time: 3.5086 data_time: 0.2770 memory: 28971 loss_text: 0.1283 loss_kernel: 0.0608 loss: 0.1890 2022/08/27 11:52:06 - mmengine - INFO - Epoch(train) [533][40/63] lr: 1.0000e-06 eta: 4:28:18 time: 2.3220 data_time: 0.2162 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0540 loss: 0.1675 2022/08/27 11:52:22 - mmengine - INFO - Epoch(train) [533][45/63] lr: 1.0000e-06 eta: 4:28:18 time: 2.0775 data_time: 0.1098 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0580 loss: 0.1841 2022/08/27 11:52:28 - mmengine - INFO - Epoch(train) [533][50/63] lr: 1.0000e-06 eta: 4:27:38 time: 2.2189 data_time: 0.0976 memory: 28971 loss_text: 0.1457 loss_kernel: 0.0665 loss: 0.2122 2022/08/27 11:52:42 - mmengine - INFO - Epoch(train) [533][55/63] lr: 1.0000e-06 eta: 4:27:38 time: 1.9265 data_time: 0.0524 memory: 28971 loss_text: 0.1566 loss_kernel: 0.0732 loss: 0.2298 2022/08/27 11:53:01 - mmengine - INFO - Epoch(train) [533][60/63] lr: 1.0000e-06 eta: 4:26:59 time: 3.2017 data_time: 0.2754 memory: 28971 loss_text: 0.1483 loss_kernel: 0.0701 loss: 0.2184 2022/08/27 11:53:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:54:46 - mmengine - INFO - Epoch(train) [534][5/63] lr: 1.0000e-06 eta: 4:26:59 time: 11.4457 data_time: 9.1514 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0507 loss: 0.1566 2022/08/27 11:54:52 - mmengine - INFO - Epoch(train) [534][10/63] lr: 1.0000e-06 eta: 4:26:17 time: 10.7506 data_time: 9.1401 memory: 28971 loss_text: 0.1053 loss_kernel: 0.0507 loss: 0.1560 2022/08/27 11:55:06 - mmengine - INFO - Epoch(train) [534][15/63] lr: 1.0000e-06 eta: 4:26:17 time: 1.9966 data_time: 0.0917 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0623 loss: 0.1943 2022/08/27 11:55:11 - mmengine - INFO - Epoch(train) [534][20/63] lr: 1.0000e-06 eta: 4:25:37 time: 1.9248 data_time: 0.0566 memory: 28971 loss_text: 0.1491 loss_kernel: 0.0693 loss: 0.2184 2022/08/27 11:55:27 - mmengine - INFO - Epoch(train) [534][25/63] lr: 1.0000e-06 eta: 4:25:37 time: 2.1220 data_time: 0.1450 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0615 loss: 0.1926 2022/08/27 11:55:32 - mmengine - INFO - Epoch(train) [534][30/63] lr: 1.0000e-06 eta: 4:24:57 time: 2.0734 data_time: 0.1208 memory: 28971 loss_text: 0.1261 loss_kernel: 0.0596 loss: 0.1858 2022/08/27 11:55:47 - mmengine - INFO - Epoch(train) [534][35/63] lr: 1.0000e-06 eta: 4:24:57 time: 1.9886 data_time: 0.1218 memory: 28971 loss_text: 0.1172 loss_kernel: 0.0561 loss: 0.1733 2022/08/27 11:55:52 - mmengine - INFO - Epoch(train) [534][40/63] lr: 1.0000e-06 eta: 4:24:17 time: 2.0566 data_time: 0.1269 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0598 loss: 0.1878 2022/08/27 11:56:06 - mmengine - INFO - Epoch(train) [534][45/63] lr: 1.0000e-06 eta: 4:24:17 time: 1.9004 data_time: 0.1262 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0684 loss: 0.2175 2022/08/27 11:56:11 - mmengine - INFO - Epoch(train) [534][50/63] lr: 1.0000e-06 eta: 4:23:36 time: 1.8674 data_time: 0.1553 memory: 28971 loss_text: 0.1026 loss_kernel: 0.0486 loss: 0.1511 2022/08/27 11:56:28 - mmengine - INFO - Epoch(train) [534][55/63] lr: 1.0000e-06 eta: 4:23:36 time: 2.1652 data_time: 0.1836 memory: 28971 loss_text: 0.0875 loss_kernel: 0.0433 loss: 0.1308 2022/08/27 11:56:33 - mmengine - INFO - Epoch(train) [534][60/63] lr: 1.0000e-06 eta: 4:22:57 time: 2.2500 data_time: 0.2052 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0643 loss: 0.2035 2022/08/27 11:56:45 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 11:58:30 - mmengine - INFO - Epoch(train) [535][5/63] lr: 1.0000e-06 eta: 4:22:57 time: 11.7018 data_time: 9.0604 memory: 28971 loss_text: 0.1058 loss_kernel: 0.0498 loss: 0.1555 2022/08/27 11:58:45 - mmengine - INFO - Epoch(train) [535][10/63] lr: 1.0000e-06 eta: 4:22:16 time: 11.8103 data_time: 9.1028 memory: 28971 loss_text: 0.1218 loss_kernel: 0.0576 loss: 0.1794 2022/08/27 11:58:52 - mmengine - INFO - Epoch(train) [535][15/63] lr: 1.0000e-06 eta: 4:22:16 time: 2.2212 data_time: 0.3064 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0631 loss: 0.1968 2022/08/27 11:58:56 - mmengine - INFO - Epoch(train) [535][20/63] lr: 1.0000e-06 eta: 4:21:35 time: 1.2237 data_time: 0.2589 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0601 loss: 0.1881 2022/08/27 11:59:16 - mmengine - INFO - Epoch(train) [535][25/63] lr: 1.0000e-06 eta: 4:21:35 time: 2.4626 data_time: 0.0970 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0619 loss: 0.1943 2022/08/27 11:59:21 - mmengine - INFO - Epoch(train) [535][30/63] lr: 1.0000e-06 eta: 4:20:55 time: 2.5045 data_time: 0.1043 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0589 loss: 0.1874 2022/08/27 11:59:35 - mmengine - INFO - Epoch(train) [535][35/63] lr: 1.0000e-06 eta: 4:20:55 time: 1.8662 data_time: 0.1116 memory: 28971 loss_text: 0.1182 loss_kernel: 0.0542 loss: 0.1724 2022/08/27 11:59:41 - mmengine - INFO - Epoch(train) [535][40/63] lr: 1.0000e-06 eta: 4:20:15 time: 1.9637 data_time: 0.1349 memory: 28971 loss_text: 0.1178 loss_kernel: 0.0559 loss: 0.1737 2022/08/27 11:59:55 - mmengine - INFO - Epoch(train) [535][45/63] lr: 1.0000e-06 eta: 4:20:15 time: 1.9660 data_time: 0.1337 memory: 28971 loss_text: 0.1358 loss_kernel: 0.0634 loss: 0.1992 2022/08/27 12:00:00 - mmengine - INFO - Epoch(train) [535][50/63] lr: 1.0000e-06 eta: 4:19:35 time: 1.8886 data_time: 0.1654 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0601 loss: 0.1863 2022/08/27 12:00:24 - mmengine - INFO - Epoch(train) [535][55/63] lr: 1.0000e-06 eta: 4:19:35 time: 2.8880 data_time: 0.2262 memory: 28971 loss_text: 0.1065 loss_kernel: 0.0517 loss: 0.1583 2022/08/27 12:00:28 - mmengine - INFO - Epoch(train) [535][60/63] lr: 1.0000e-06 eta: 4:18:56 time: 2.8740 data_time: 0.2156 memory: 28971 loss_text: 0.1067 loss_kernel: 0.0504 loss: 0.1572 2022/08/27 12:00:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:02:17 - mmengine - INFO - Epoch(train) [536][5/63] lr: 1.0000e-06 eta: 4:18:56 time: 10.9950 data_time: 9.3851 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0671 loss: 0.2089 2022/08/27 12:02:22 - mmengine - INFO - Epoch(train) [536][10/63] lr: 1.0000e-06 eta: 4:18:14 time: 11.0095 data_time: 9.3917 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0613 loss: 0.1874 2022/08/27 12:02:40 - mmengine - INFO - Epoch(train) [536][15/63] lr: 1.0000e-06 eta: 4:18:14 time: 2.3291 data_time: 0.0835 memory: 28971 loss_text: 0.1256 loss_kernel: 0.0601 loss: 0.1857 2022/08/27 12:02:46 - mmengine - INFO - Epoch(train) [536][20/63] lr: 1.0000e-06 eta: 4:17:34 time: 2.4046 data_time: 0.1600 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0595 loss: 0.1841 2022/08/27 12:03:05 - mmengine - INFO - Epoch(train) [536][25/63] lr: 1.0000e-06 eta: 4:17:34 time: 2.4320 data_time: 0.2059 memory: 28971 loss_text: 0.1386 loss_kernel: 0.0647 loss: 0.2033 2022/08/27 12:03:09 - mmengine - INFO - Epoch(train) [536][30/63] lr: 1.0000e-06 eta: 4:16:55 time: 2.3262 data_time: 0.1483 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0602 loss: 0.1881 2022/08/27 12:03:28 - mmengine - INFO - Epoch(train) [536][35/63] lr: 1.0000e-06 eta: 4:16:55 time: 2.3277 data_time: 0.1659 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0634 loss: 0.1977 2022/08/27 12:03:33 - mmengine - INFO - Epoch(train) [536][40/63] lr: 1.0000e-06 eta: 4:16:15 time: 2.3313 data_time: 0.1441 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0695 loss: 0.2204 2022/08/27 12:03:52 - mmengine - INFO - Epoch(train) [536][45/63] lr: 1.0000e-06 eta: 4:16:15 time: 2.4478 data_time: 0.0984 memory: 28971 loss_text: 0.1116 loss_kernel: 0.0538 loss: 0.1655 2022/08/27 12:03:57 - mmengine - INFO - Epoch(train) [536][50/63] lr: 1.0000e-06 eta: 4:15:35 time: 2.4592 data_time: 0.0989 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0577 loss: 0.1778 2022/08/27 12:04:10 - mmengine - INFO - Epoch(train) [536][55/63] lr: 1.0000e-06 eta: 4:15:35 time: 1.7586 data_time: 0.0919 memory: 28971 loss_text: 0.1426 loss_kernel: 0.0654 loss: 0.2080 2022/08/27 12:04:15 - mmengine - INFO - Epoch(train) [536][60/63] lr: 1.0000e-06 eta: 4:14:55 time: 1.7790 data_time: 0.1188 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0581 loss: 0.1830 2022/08/27 12:04:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:05:53 - mmengine - INFO - Epoch(train) [537][5/63] lr: 1.0000e-06 eta: 4:14:55 time: 9.9737 data_time: 8.4002 memory: 28971 loss_text: 0.1440 loss_kernel: 0.0669 loss: 0.2109 2022/08/27 12:05:58 - mmengine - INFO - Epoch(train) [537][10/63] lr: 1.0000e-06 eta: 4:14:11 time: 9.6161 data_time: 8.4202 memory: 28971 loss_text: 0.1282 loss_kernel: 0.0605 loss: 0.1887 2022/08/27 12:06:06 - mmengine - INFO - Epoch(train) [537][15/63] lr: 1.0000e-06 eta: 4:14:11 time: 1.2938 data_time: 0.0372 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0542 loss: 0.1684 2022/08/27 12:06:11 - mmengine - INFO - Epoch(train) [537][20/63] lr: 1.0000e-06 eta: 4:13:31 time: 1.3092 data_time: 0.0409 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0561 loss: 0.1754 2022/08/27 12:06:16 - mmengine - INFO - Epoch(train) [537][25/63] lr: 1.0000e-06 eta: 4:13:31 time: 0.9375 data_time: 0.0488 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0616 loss: 0.1935 2022/08/27 12:06:23 - mmengine - INFO - Epoch(train) [537][30/63] lr: 1.0000e-06 eta: 4:12:50 time: 1.2472 data_time: 0.0255 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0616 loss: 0.1928 2022/08/27 12:06:30 - mmengine - INFO - Epoch(train) [537][35/63] lr: 1.0000e-06 eta: 4:12:50 time: 1.4010 data_time: 0.0522 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0632 loss: 0.1975 2022/08/27 12:06:34 - mmengine - INFO - Epoch(train) [537][40/63] lr: 1.0000e-06 eta: 4:12:08 time: 1.0815 data_time: 0.0525 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0626 loss: 0.1972 2022/08/27 12:06:43 - mmengine - INFO - Epoch(train) [537][45/63] lr: 1.0000e-06 eta: 4:12:08 time: 1.3714 data_time: 0.0406 memory: 28971 loss_text: 0.1444 loss_kernel: 0.0669 loss: 0.2114 2022/08/27 12:06:48 - mmengine - INFO - Epoch(train) [537][50/63] lr: 1.0000e-06 eta: 4:11:28 time: 1.3674 data_time: 0.0489 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0689 loss: 0.2177 2022/08/27 12:06:53 - mmengine - INFO - Epoch(train) [537][55/63] lr: 1.0000e-06 eta: 4:11:28 time: 0.9709 data_time: 0.0672 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0604 loss: 0.1896 2022/08/27 12:07:01 - mmengine - INFO - Epoch(train) [537][60/63] lr: 1.0000e-06 eta: 4:10:47 time: 1.3065 data_time: 0.0777 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0589 loss: 0.1848 2022/08/27 12:07:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:08:42 - mmengine - INFO - Epoch(train) [538][5/63] lr: 1.0000e-06 eta: 4:10:47 time: 10.5050 data_time: 8.7164 memory: 28971 loss_text: 0.1372 loss_kernel: 0.0632 loss: 0.2004 2022/08/27 12:08:47 - mmengine - INFO - Epoch(train) [538][10/63] lr: 1.0000e-06 eta: 4:10:04 time: 10.1652 data_time: 8.7315 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0593 loss: 0.1851 2022/08/27 12:09:01 - mmengine - INFO - Epoch(train) [538][15/63] lr: 1.0000e-06 eta: 4:10:04 time: 1.8928 data_time: 0.0793 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0605 loss: 0.1886 2022/08/27 12:09:06 - mmengine - INFO - Epoch(train) [538][20/63] lr: 1.0000e-06 eta: 4:09:24 time: 1.9119 data_time: 0.1277 memory: 28971 loss_text: 0.1129 loss_kernel: 0.0539 loss: 0.1668 2022/08/27 12:09:21 - mmengine - INFO - Epoch(train) [538][25/63] lr: 1.0000e-06 eta: 4:09:24 time: 2.0031 data_time: 0.1725 memory: 28971 loss_text: 0.1466 loss_kernel: 0.0679 loss: 0.2145 2022/08/27 12:09:26 - mmengine - INFO - Epoch(train) [538][30/63] lr: 1.0000e-06 eta: 4:08:44 time: 2.0278 data_time: 0.1290 memory: 28971 loss_text: 0.1435 loss_kernel: 0.0664 loss: 0.2099 2022/08/27 12:09:42 - mmengine - INFO - Epoch(train) [538][35/63] lr: 1.0000e-06 eta: 4:08:44 time: 2.0875 data_time: 0.0847 memory: 28971 loss_text: 0.0940 loss_kernel: 0.0457 loss: 0.1397 2022/08/27 12:09:47 - mmengine - INFO - Epoch(train) [538][40/63] lr: 1.0000e-06 eta: 4:08:04 time: 2.0385 data_time: 0.0881 memory: 28971 loss_text: 0.1114 loss_kernel: 0.0545 loss: 0.1659 2022/08/27 12:09:54 - mmengine - INFO - Epoch(train) [538][45/63] lr: 1.0000e-06 eta: 4:08:04 time: 1.1837 data_time: 0.0570 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0625 loss: 0.1934 2022/08/27 12:10:11 - mmengine - INFO - Epoch(train) [538][50/63] lr: 1.0000e-06 eta: 4:07:24 time: 2.3638 data_time: 0.1565 memory: 28971 loss_text: 0.1106 loss_kernel: 0.0524 loss: 0.1630 2022/08/27 12:10:26 - mmengine - INFO - Epoch(train) [538][55/63] lr: 1.0000e-06 eta: 4:07:24 time: 3.1765 data_time: 0.2430 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0578 loss: 0.1811 2022/08/27 12:10:34 - mmengine - INFO - Epoch(train) [538][60/63] lr: 1.0000e-06 eta: 4:06:45 time: 2.3132 data_time: 0.1839 memory: 28971 loss_text: 0.1537 loss_kernel: 0.0705 loss: 0.2242 2022/08/27 12:10:46 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:12:29 - mmengine - INFO - Epoch(train) [539][5/63] lr: 1.0000e-06 eta: 4:06:45 time: 11.9598 data_time: 9.2573 memory: 28971 loss_text: 0.1405 loss_kernel: 0.0654 loss: 0.2059 2022/08/27 12:12:35 - mmengine - INFO - Epoch(train) [539][10/63] lr: 1.0000e-06 eta: 4:06:02 time: 10.7837 data_time: 9.2184 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0633 loss: 0.1992 2022/08/27 12:12:50 - mmengine - INFO - Epoch(train) [539][15/63] lr: 1.0000e-06 eta: 4:06:02 time: 2.0490 data_time: 0.1158 memory: 28971 loss_text: 0.1246 loss_kernel: 0.0581 loss: 0.1827 2022/08/27 12:12:55 - mmengine - INFO - Epoch(train) [539][20/63] lr: 1.0000e-06 eta: 4:05:22 time: 2.0286 data_time: 0.1100 memory: 28971 loss_text: 0.1148 loss_kernel: 0.0536 loss: 0.1683 2022/08/27 12:13:12 - mmengine - INFO - Epoch(train) [539][25/63] lr: 1.0000e-06 eta: 4:05:22 time: 2.1985 data_time: 0.1732 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0626 loss: 0.1964 2022/08/27 12:13:22 - mmengine - INFO - Epoch(train) [539][30/63] lr: 1.0000e-06 eta: 4:04:43 time: 2.6692 data_time: 0.1571 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0672 loss: 0.2092 2022/08/27 12:13:31 - mmengine - INFO - Epoch(train) [539][35/63] lr: 1.0000e-06 eta: 4:04:43 time: 1.9344 data_time: 0.0850 memory: 28971 loss_text: 0.1028 loss_kernel: 0.0498 loss: 0.1527 2022/08/27 12:13:45 - mmengine - INFO - Epoch(train) [539][40/63] lr: 1.0000e-06 eta: 4:04:04 time: 2.3775 data_time: 0.0944 memory: 28971 loss_text: 0.1211 loss_kernel: 0.0571 loss: 0.1782 2022/08/27 12:13:53 - mmengine - INFO - Epoch(train) [539][45/63] lr: 1.0000e-06 eta: 4:04:04 time: 2.2392 data_time: 0.0728 memory: 28971 loss_text: 0.1626 loss_kernel: 0.0755 loss: 0.2381 2022/08/27 12:13:58 - mmengine - INFO - Epoch(train) [539][50/63] lr: 1.0000e-06 eta: 4:03:23 time: 1.2654 data_time: 0.0834 memory: 28971 loss_text: 0.1541 loss_kernel: 0.0719 loss: 0.2260 2022/08/27 12:14:15 - mmengine - INFO - Epoch(train) [539][55/63] lr: 1.0000e-06 eta: 4:03:23 time: 2.1080 data_time: 0.1102 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0652 loss: 0.2043 2022/08/27 12:14:20 - mmengine - INFO - Epoch(train) [539][60/63] lr: 1.0000e-06 eta: 4:02:43 time: 2.1555 data_time: 0.1374 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0645 loss: 0.2011 2022/08/27 12:14:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:16:20 - mmengine - INFO - Epoch(train) [540][5/63] lr: 1.0000e-06 eta: 4:02:43 time: 12.1469 data_time: 9.3122 memory: 28971 loss_text: 0.1004 loss_kernel: 0.0485 loss: 0.1490 2022/08/27 12:16:25 - mmengine - INFO - Epoch(train) [540][10/63] lr: 1.0000e-06 eta: 4:02:01 time: 10.8846 data_time: 9.3535 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0595 loss: 0.1856 2022/08/27 12:16:39 - mmengine - INFO - Epoch(train) [540][15/63] lr: 1.0000e-06 eta: 4:02:01 time: 1.9168 data_time: 0.0875 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0610 loss: 0.1887 2022/08/27 12:16:44 - mmengine - INFO - Epoch(train) [540][20/63] lr: 1.0000e-06 eta: 4:01:21 time: 1.9053 data_time: 0.1063 memory: 28971 loss_text: 0.1122 loss_kernel: 0.0539 loss: 0.1661 2022/08/27 12:16:58 - mmengine - INFO - Epoch(train) [540][25/63] lr: 1.0000e-06 eta: 4:01:21 time: 1.9047 data_time: 0.1227 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0687 loss: 0.2193 2022/08/27 12:17:03 - mmengine - INFO - Epoch(train) [540][30/63] lr: 1.0000e-06 eta: 4:00:41 time: 1.8984 data_time: 0.1074 memory: 28971 loss_text: 0.1831 loss_kernel: 0.0821 loss: 0.2652 2022/08/27 12:17:17 - mmengine - INFO - Epoch(train) [540][35/63] lr: 1.0000e-06 eta: 4:00:41 time: 1.8817 data_time: 0.0872 memory: 28971 loss_text: 0.1625 loss_kernel: 0.0737 loss: 0.2362 2022/08/27 12:17:22 - mmengine - INFO - Epoch(train) [540][40/63] lr: 1.0000e-06 eta: 4:00:01 time: 1.9077 data_time: 0.0907 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0636 loss: 0.2006 2022/08/27 12:17:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:17:36 - mmengine - INFO - Epoch(train) [540][45/63] lr: 1.0000e-06 eta: 4:00:01 time: 1.9012 data_time: 0.0861 memory: 28971 loss_text: 0.1204 loss_kernel: 0.0577 loss: 0.1781 2022/08/27 12:17:42 - mmengine - INFO - Epoch(train) [540][50/63] lr: 1.0000e-06 eta: 3:59:21 time: 2.0463 data_time: 0.0738 memory: 28971 loss_text: 0.1375 loss_kernel: 0.0650 loss: 0.2024 2022/08/27 12:17:48 - mmengine - INFO - Epoch(train) [540][55/63] lr: 1.0000e-06 eta: 3:59:21 time: 1.1702 data_time: 0.0463 memory: 28971 loss_text: 0.1580 loss_kernel: 0.0729 loss: 0.2309 2022/08/27 12:18:01 - mmengine - INFO - Epoch(train) [540][60/63] lr: 1.0000e-06 eta: 3:58:41 time: 1.8463 data_time: 0.1228 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0554 loss: 0.1730 2022/08/27 12:18:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:18:05 - mmengine - INFO - Saving checkpoint at 540 epochs 2022/08/27 12:19:55 - mmengine - INFO - Epoch(train) [541][5/63] lr: 1.0000e-06 eta: 3:58:41 time: 10.4876 data_time: 8.8264 memory: 28971 loss_text: 0.0871 loss_kernel: 0.0431 loss: 0.1302 2022/08/27 12:20:00 - mmengine - INFO - Epoch(train) [541][10/63] lr: 1.0000e-06 eta: 3:57:58 time: 10.3838 data_time: 8.8423 memory: 28971 loss_text: 0.0969 loss_kernel: 0.0473 loss: 0.1442 2022/08/27 12:20:14 - mmengine - INFO - Epoch(train) [541][15/63] lr: 1.0000e-06 eta: 3:57:58 time: 1.9040 data_time: 0.0359 memory: 28971 loss_text: 0.1006 loss_kernel: 0.0491 loss: 0.1497 2022/08/27 12:20:19 - mmengine - INFO - Epoch(train) [541][20/63] lr: 1.0000e-06 eta: 3:57:18 time: 1.9500 data_time: 0.0901 memory: 28971 loss_text: 0.1124 loss_kernel: 0.0532 loss: 0.1656 2022/08/27 12:20:34 - mmengine - INFO - Epoch(train) [541][25/63] lr: 1.0000e-06 eta: 3:57:18 time: 2.0257 data_time: 0.1427 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0609 loss: 0.1924 2022/08/27 12:20:39 - mmengine - INFO - Epoch(train) [541][30/63] lr: 1.0000e-06 eta: 3:56:38 time: 2.0343 data_time: 0.1224 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0614 loss: 0.1921 2022/08/27 12:20:54 - mmengine - INFO - Epoch(train) [541][35/63] lr: 1.0000e-06 eta: 3:56:38 time: 1.9983 data_time: 0.1056 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0554 loss: 0.1735 2022/08/27 12:21:00 - mmengine - INFO - Epoch(train) [541][40/63] lr: 1.0000e-06 eta: 3:55:58 time: 2.0602 data_time: 0.0787 memory: 28971 loss_text: 0.1023 loss_kernel: 0.0483 loss: 0.1506 2022/08/27 12:21:16 - mmengine - INFO - Epoch(train) [541][45/63] lr: 1.0000e-06 eta: 3:55:58 time: 2.1201 data_time: 0.1979 memory: 28971 loss_text: 0.1038 loss_kernel: 0.0496 loss: 0.1534 2022/08/27 12:21:20 - mmengine - INFO - Epoch(train) [541][50/63] lr: 1.0000e-06 eta: 3:55:18 time: 2.0312 data_time: 0.2066 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0619 loss: 0.1949 2022/08/27 12:21:39 - mmengine - INFO - Epoch(train) [541][55/63] lr: 1.0000e-06 eta: 3:55:18 time: 2.3076 data_time: 0.1260 memory: 28971 loss_text: 0.1727 loss_kernel: 0.0784 loss: 0.2511 2022/08/27 12:21:44 - mmengine - INFO - Epoch(train) [541][60/63] lr: 1.0000e-06 eta: 3:54:39 time: 2.3363 data_time: 0.1408 memory: 28971 loss_text: 0.1555 loss_kernel: 0.0717 loss: 0.2272 2022/08/27 12:21:56 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:23:35 - mmengine - INFO - Epoch(train) [542][5/63] lr: 1.0000e-06 eta: 3:54:39 time: 11.2725 data_time: 8.9595 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0571 loss: 0.1777 2022/08/27 12:23:40 - mmengine - INFO - Epoch(train) [542][10/63] lr: 1.0000e-06 eta: 3:53:56 time: 10.3560 data_time: 8.8653 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0573 loss: 0.1762 2022/08/27 12:23:54 - mmengine - INFO - Epoch(train) [542][15/63] lr: 1.0000e-06 eta: 3:53:56 time: 1.8872 data_time: 0.0951 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0569 loss: 0.1745 2022/08/27 12:23:58 - mmengine - INFO - Epoch(train) [542][20/63] lr: 1.0000e-06 eta: 3:53:16 time: 1.8259 data_time: 0.0847 memory: 28971 loss_text: 0.1631 loss_kernel: 0.0755 loss: 0.2386 2022/08/27 12:24:12 - mmengine - INFO - Epoch(train) [542][25/63] lr: 1.0000e-06 eta: 3:53:16 time: 1.8163 data_time: 0.0926 memory: 28971 loss_text: 0.1836 loss_kernel: 0.0837 loss: 0.2673 2022/08/27 12:24:17 - mmengine - INFO - Epoch(train) [542][30/63] lr: 1.0000e-06 eta: 3:52:36 time: 1.8868 data_time: 0.1427 memory: 28971 loss_text: 0.1567 loss_kernel: 0.0722 loss: 0.2289 2022/08/27 12:24:24 - mmengine - INFO - Epoch(train) [542][35/63] lr: 1.0000e-06 eta: 3:52:36 time: 1.1386 data_time: 0.0854 memory: 28971 loss_text: 0.1447 loss_kernel: 0.0678 loss: 0.2125 2022/08/27 12:24:36 - mmengine - INFO - Epoch(train) [542][40/63] lr: 1.0000e-06 eta: 3:51:56 time: 1.8807 data_time: 0.2058 memory: 28971 loss_text: 0.1148 loss_kernel: 0.0552 loss: 0.1699 2022/08/27 12:24:41 - mmengine - INFO - Epoch(train) [542][45/63] lr: 1.0000e-06 eta: 3:51:56 time: 1.7466 data_time: 0.2121 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0549 loss: 0.1726 2022/08/27 12:24:55 - mmengine - INFO - Epoch(train) [542][50/63] lr: 1.0000e-06 eta: 3:51:16 time: 1.9321 data_time: 0.1228 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0570 loss: 0.1802 2022/08/27 12:25:00 - mmengine - INFO - Epoch(train) [542][55/63] lr: 1.0000e-06 eta: 3:51:16 time: 1.8941 data_time: 0.1398 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0647 loss: 0.2030 2022/08/27 12:25:17 - mmengine - INFO - Epoch(train) [542][60/63] lr: 1.0000e-06 eta: 3:50:37 time: 2.1596 data_time: 0.2340 memory: 28971 loss_text: 0.1247 loss_kernel: 0.0586 loss: 0.1834 2022/08/27 12:25:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:27:04 - mmengine - INFO - Epoch(train) [543][5/63] lr: 1.0000e-06 eta: 3:50:37 time: 10.9479 data_time: 9.2868 memory: 28971 loss_text: 0.1014 loss_kernel: 0.0486 loss: 0.1500 2022/08/27 12:27:09 - mmengine - INFO - Epoch(train) [543][10/63] lr: 1.0000e-06 eta: 3:49:54 time: 10.8775 data_time: 9.2598 memory: 28971 loss_text: 0.0986 loss_kernel: 0.0486 loss: 0.1473 2022/08/27 12:27:23 - mmengine - INFO - Epoch(train) [543][15/63] lr: 1.0000e-06 eta: 3:49:54 time: 1.9097 data_time: 0.0653 memory: 28971 loss_text: 0.1257 loss_kernel: 0.0601 loss: 0.1858 2022/08/27 12:27:29 - mmengine - INFO - Epoch(train) [543][20/63] lr: 1.0000e-06 eta: 3:49:14 time: 1.9291 data_time: 0.0521 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0561 loss: 0.1736 2022/08/27 12:27:44 - mmengine - INFO - Epoch(train) [543][25/63] lr: 1.0000e-06 eta: 3:49:14 time: 2.0131 data_time: 0.1292 memory: 28971 loss_text: 0.1057 loss_kernel: 0.0506 loss: 0.1563 2022/08/27 12:27:48 - mmengine - INFO - Epoch(train) [543][30/63] lr: 1.0000e-06 eta: 3:48:34 time: 1.9520 data_time: 0.1163 memory: 28971 loss_text: 0.1345 loss_kernel: 0.0625 loss: 0.1971 2022/08/27 12:28:03 - mmengine - INFO - Epoch(train) [543][35/63] lr: 1.0000e-06 eta: 3:48:34 time: 1.8871 data_time: 0.0701 memory: 28971 loss_text: 0.1278 loss_kernel: 0.0601 loss: 0.1880 2022/08/27 12:28:07 - mmengine - INFO - Epoch(train) [543][40/63] lr: 1.0000e-06 eta: 3:47:54 time: 1.9063 data_time: 0.0844 memory: 28971 loss_text: 0.1349 loss_kernel: 0.0633 loss: 0.1982 2022/08/27 12:28:17 - mmengine - INFO - Epoch(train) [543][45/63] lr: 1.0000e-06 eta: 3:47:54 time: 1.3741 data_time: 0.0635 memory: 28971 loss_text: 0.1585 loss_kernel: 0.0733 loss: 0.2318 2022/08/27 12:28:27 - mmengine - INFO - Epoch(train) [543][50/63] lr: 1.0000e-06 eta: 3:47:15 time: 1.9756 data_time: 0.3274 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0633 loss: 0.1970 2022/08/27 12:28:41 - mmengine - INFO - Epoch(train) [543][55/63] lr: 1.0000e-06 eta: 3:47:15 time: 2.4615 data_time: 0.3140 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0551 loss: 0.1692 2022/08/27 12:28:50 - mmengine - INFO - Epoch(train) [543][60/63] lr: 1.0000e-06 eta: 3:46:35 time: 2.2810 data_time: 0.0582 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0661 loss: 0.2081 2022/08/27 12:28:54 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:30:40 - mmengine - INFO - Epoch(train) [544][5/63] lr: 1.0000e-06 eta: 3:46:35 time: 11.1943 data_time: 9.2044 memory: 28971 loss_text: 0.1366 loss_kernel: 0.0637 loss: 0.2003 2022/08/27 12:30:46 - mmengine - INFO - Epoch(train) [544][10/63] lr: 1.0000e-06 eta: 3:45:52 time: 11.1630 data_time: 9.2579 memory: 28971 loss_text: 0.1167 loss_kernel: 0.0557 loss: 0.1723 2022/08/27 12:31:00 - mmengine - INFO - Epoch(train) [544][15/63] lr: 1.0000e-06 eta: 3:45:52 time: 1.9462 data_time: 0.0870 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0586 loss: 0.1847 2022/08/27 12:31:05 - mmengine - INFO - Epoch(train) [544][20/63] lr: 1.0000e-06 eta: 3:45:13 time: 1.9240 data_time: 0.0672 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0595 loss: 0.1919 2022/08/27 12:31:21 - mmengine - INFO - Epoch(train) [544][25/63] lr: 1.0000e-06 eta: 3:45:13 time: 2.1466 data_time: 0.1240 memory: 28971 loss_text: 0.1573 loss_kernel: 0.0711 loss: 0.2284 2022/08/27 12:31:26 - mmengine - INFO - Epoch(train) [544][30/63] lr: 1.0000e-06 eta: 3:44:33 time: 2.1073 data_time: 0.1295 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0746 loss: 0.2373 2022/08/27 12:31:45 - mmengine - INFO - Epoch(train) [544][35/63] lr: 1.0000e-06 eta: 3:44:33 time: 2.3739 data_time: 0.1544 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0582 loss: 0.1814 2022/08/27 12:31:50 - mmengine - INFO - Epoch(train) [544][40/63] lr: 1.0000e-06 eta: 3:43:54 time: 2.3879 data_time: 0.1493 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0550 loss: 0.1724 2022/08/27 12:32:07 - mmengine - INFO - Epoch(train) [544][45/63] lr: 1.0000e-06 eta: 3:43:54 time: 2.1773 data_time: 0.0623 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0553 loss: 0.1745 2022/08/27 12:32:12 - mmengine - INFO - Epoch(train) [544][50/63] lr: 1.0000e-06 eta: 3:43:14 time: 2.2368 data_time: 0.0762 memory: 28971 loss_text: 0.1050 loss_kernel: 0.0502 loss: 0.1553 2022/08/27 12:32:31 - mmengine - INFO - Epoch(train) [544][55/63] lr: 1.0000e-06 eta: 3:43:14 time: 2.3519 data_time: 0.0872 memory: 28971 loss_text: 0.1047 loss_kernel: 0.0507 loss: 0.1554 2022/08/27 12:32:42 - mmengine - INFO - Epoch(train) [544][60/63] lr: 1.0000e-06 eta: 3:42:36 time: 3.0068 data_time: 0.1629 memory: 28971 loss_text: 0.1053 loss_kernel: 0.0518 loss: 0.1571 2022/08/27 12:32:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:34:31 - mmengine - INFO - Epoch(train) [545][5/63] lr: 1.0000e-06 eta: 3:42:36 time: 11.6593 data_time: 9.0292 memory: 28971 loss_text: 0.1081 loss_kernel: 0.0526 loss: 0.1607 2022/08/27 12:34:37 - mmengine - INFO - Epoch(train) [545][10/63] lr: 1.0000e-06 eta: 3:41:52 time: 10.6784 data_time: 9.0014 memory: 28971 loss_text: 0.0964 loss_kernel: 0.0487 loss: 0.1451 2022/08/27 12:34:51 - mmengine - INFO - Epoch(train) [545][15/63] lr: 1.0000e-06 eta: 3:41:52 time: 1.9568 data_time: 0.0920 memory: 28971 loss_text: 0.0827 loss_kernel: 0.0423 loss: 0.1251 2022/08/27 12:34:56 - mmengine - INFO - Epoch(train) [545][20/63] lr: 1.0000e-06 eta: 3:41:13 time: 1.8684 data_time: 0.0858 memory: 28971 loss_text: 0.1108 loss_kernel: 0.0533 loss: 0.1640 2022/08/27 12:35:12 - mmengine - INFO - Epoch(train) [545][25/63] lr: 1.0000e-06 eta: 3:41:13 time: 2.0728 data_time: 0.1811 memory: 28971 loss_text: 0.1477 loss_kernel: 0.0689 loss: 0.2166 2022/08/27 12:35:16 - mmengine - INFO - Epoch(train) [545][30/63] lr: 1.0000e-06 eta: 3:40:33 time: 2.0700 data_time: 0.1844 memory: 28971 loss_text: 0.1308 loss_kernel: 0.0610 loss: 0.1918 2022/08/27 12:35:31 - mmengine - INFO - Epoch(train) [545][35/63] lr: 1.0000e-06 eta: 3:40:33 time: 1.9171 data_time: 0.1632 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0553 loss: 0.1730 2022/08/27 12:35:35 - mmengine - INFO - Epoch(train) [545][40/63] lr: 1.0000e-06 eta: 3:39:53 time: 1.9021 data_time: 0.1582 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0599 loss: 0.1890 2022/08/27 12:35:54 - mmengine - INFO - Epoch(train) [545][45/63] lr: 1.0000e-06 eta: 3:39:53 time: 2.3216 data_time: 0.0936 memory: 28971 loss_text: 0.1074 loss_kernel: 0.0511 loss: 0.1586 2022/08/27 12:35:59 - mmengine - INFO - Epoch(train) [545][50/63] lr: 1.0000e-06 eta: 3:39:14 time: 2.3618 data_time: 0.1311 memory: 28971 loss_text: 0.0879 loss_kernel: 0.0433 loss: 0.1312 2022/08/27 12:36:14 - mmengine - INFO - Epoch(train) [545][55/63] lr: 1.0000e-06 eta: 3:39:14 time: 1.9720 data_time: 0.1094 memory: 28971 loss_text: 0.1347 loss_kernel: 0.0626 loss: 0.1973 2022/08/27 12:36:19 - mmengine - INFO - Epoch(train) [545][60/63] lr: 1.0000e-06 eta: 3:38:35 time: 2.0459 data_time: 0.1619 memory: 28971 loss_text: 0.1483 loss_kernel: 0.0694 loss: 0.2177 2022/08/27 12:36:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:38:02 - mmengine - INFO - Epoch(train) [546][5/63] lr: 1.0000e-06 eta: 3:38:35 time: 10.4139 data_time: 8.9038 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0570 loss: 0.1769 2022/08/27 12:38:07 - mmengine - INFO - Epoch(train) [546][10/63] lr: 1.0000e-06 eta: 3:37:51 time: 10.4287 data_time: 8.9218 memory: 28971 loss_text: 0.1306 loss_kernel: 0.0621 loss: 0.1926 2022/08/27 12:38:22 - mmengine - INFO - Epoch(train) [546][15/63] lr: 1.0000e-06 eta: 3:37:51 time: 1.9505 data_time: 0.0733 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0586 loss: 0.1802 2022/08/27 12:38:26 - mmengine - INFO - Epoch(train) [546][20/63] lr: 1.0000e-06 eta: 3:37:11 time: 1.9634 data_time: 0.0950 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0638 loss: 0.1977 2022/08/27 12:38:42 - mmengine - INFO - Epoch(train) [546][25/63] lr: 1.0000e-06 eta: 3:37:11 time: 2.0522 data_time: 0.1351 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0617 loss: 0.1908 2022/08/27 12:38:47 - mmengine - INFO - Epoch(train) [546][30/63] lr: 1.0000e-06 eta: 3:36:32 time: 2.0248 data_time: 0.1318 memory: 28971 loss_text: 0.1239 loss_kernel: 0.0592 loss: 0.1830 2022/08/27 12:39:01 - mmengine - INFO - Epoch(train) [546][35/63] lr: 1.0000e-06 eta: 3:36:32 time: 1.8947 data_time: 0.1163 memory: 28971 loss_text: 0.1102 loss_kernel: 0.0531 loss: 0.1633 2022/08/27 12:39:06 - mmengine - INFO - Epoch(train) [546][40/63] lr: 1.0000e-06 eta: 3:35:52 time: 1.9032 data_time: 0.1283 memory: 28971 loss_text: 0.1102 loss_kernel: 0.0527 loss: 0.1629 2022/08/27 12:39:19 - mmengine - INFO - Epoch(train) [546][45/63] lr: 1.0000e-06 eta: 3:35:52 time: 1.8024 data_time: 0.0821 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0605 loss: 0.1892 2022/08/27 12:39:24 - mmengine - INFO - Epoch(train) [546][50/63] lr: 1.0000e-06 eta: 3:35:12 time: 1.8098 data_time: 0.0771 memory: 28971 loss_text: 0.1148 loss_kernel: 0.0548 loss: 0.1696 2022/08/27 12:39:38 - mmengine - INFO - Epoch(train) [546][55/63] lr: 1.0000e-06 eta: 3:35:12 time: 1.8832 data_time: 0.0624 memory: 28971 loss_text: 0.1366 loss_kernel: 0.0635 loss: 0.2001 2022/08/27 12:39:44 - mmengine - INFO - Epoch(train) [546][60/63] lr: 1.0000e-06 eta: 3:34:33 time: 2.0289 data_time: 0.1760 memory: 28971 loss_text: 0.1684 loss_kernel: 0.0762 loss: 0.2446 2022/08/27 12:39:55 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:41:37 - mmengine - INFO - Epoch(train) [547][5/63] lr: 1.0000e-06 eta: 3:34:33 time: 11.4080 data_time: 9.1251 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0697 loss: 0.2204 2022/08/27 12:41:42 - mmengine - INFO - Epoch(train) [547][10/63] lr: 1.0000e-06 eta: 3:33:49 time: 10.7092 data_time: 9.1671 memory: 28971 loss_text: 0.1495 loss_kernel: 0.0688 loss: 0.2183 2022/08/27 12:41:57 - mmengine - INFO - Epoch(train) [547][15/63] lr: 1.0000e-06 eta: 3:33:49 time: 1.9854 data_time: 0.0868 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0649 loss: 0.2039 2022/08/27 12:42:01 - mmengine - INFO - Epoch(train) [547][20/63] lr: 1.0000e-06 eta: 3:33:10 time: 1.8974 data_time: 0.1037 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0657 loss: 0.2047 2022/08/27 12:42:14 - mmengine - INFO - Epoch(train) [547][25/63] lr: 1.0000e-06 eta: 3:33:10 time: 1.7646 data_time: 0.1433 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0581 loss: 0.1800 2022/08/27 12:42:23 - mmengine - INFO - Epoch(train) [547][30/63] lr: 1.0000e-06 eta: 3:32:30 time: 2.1543 data_time: 0.1217 memory: 28971 loss_text: 0.1116 loss_kernel: 0.0526 loss: 0.1641 2022/08/27 12:42:35 - mmengine - INFO - Epoch(train) [547][35/63] lr: 1.0000e-06 eta: 3:32:30 time: 2.0564 data_time: 0.1081 memory: 28971 loss_text: 0.1071 loss_kernel: 0.0501 loss: 0.1572 2022/08/27 12:42:43 - mmengine - INFO - Epoch(train) [547][40/63] lr: 1.0000e-06 eta: 3:31:51 time: 2.0171 data_time: 0.1023 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0528 loss: 0.1661 2022/08/27 12:42:55 - mmengine - INFO - Epoch(train) [547][45/63] lr: 1.0000e-06 eta: 3:31:51 time: 2.0050 data_time: 0.1324 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0575 loss: 0.1820 2022/08/27 12:43:00 - mmengine - INFO - Epoch(train) [547][50/63] lr: 1.0000e-06 eta: 3:31:11 time: 1.6528 data_time: 0.1276 memory: 28971 loss_text: 0.1195 loss_kernel: 0.0563 loss: 0.1758 2022/08/27 12:43:12 - mmengine - INFO - Epoch(train) [547][55/63] lr: 1.0000e-06 eta: 3:31:11 time: 1.7224 data_time: 0.0499 memory: 28971 loss_text: 0.1148 loss_kernel: 0.0546 loss: 0.1694 2022/08/27 12:43:17 - mmengine - INFO - Epoch(train) [547][60/63] lr: 1.0000e-06 eta: 3:30:31 time: 1.7837 data_time: 0.1276 memory: 28971 loss_text: 0.1313 loss_kernel: 0.0622 loss: 0.1935 2022/08/27 12:43:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:45:17 - mmengine - INFO - Epoch(train) [548][5/63] lr: 1.0000e-06 eta: 3:30:31 time: 11.9700 data_time: 9.3035 memory: 28971 loss_text: 0.0989 loss_kernel: 0.0488 loss: 0.1477 2022/08/27 12:45:22 - mmengine - INFO - Epoch(train) [548][10/63] lr: 1.0000e-06 eta: 3:29:48 time: 11.0259 data_time: 9.3514 memory: 28971 loss_text: 0.1089 loss_kernel: 0.0524 loss: 0.1612 2022/08/27 12:45:36 - mmengine - INFO - Epoch(train) [548][15/63] lr: 1.0000e-06 eta: 3:29:48 time: 1.9468 data_time: 0.1072 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0536 loss: 0.1678 2022/08/27 12:45:41 - mmengine - INFO - Epoch(train) [548][20/63] lr: 1.0000e-06 eta: 3:29:08 time: 1.8978 data_time: 0.1020 memory: 28971 loss_text: 0.1156 loss_kernel: 0.0550 loss: 0.1706 2022/08/27 12:45:55 - mmengine - INFO - Epoch(train) [548][25/63] lr: 1.0000e-06 eta: 3:29:08 time: 1.8365 data_time: 0.0889 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0588 loss: 0.1819 2022/08/27 12:45:59 - mmengine - INFO - Epoch(train) [548][30/63] lr: 1.0000e-06 eta: 3:28:28 time: 1.8224 data_time: 0.0972 memory: 28971 loss_text: 0.1408 loss_kernel: 0.0658 loss: 0.2067 2022/08/27 12:46:07 - mmengine - INFO - Epoch(train) [548][35/63] lr: 1.0000e-06 eta: 3:28:28 time: 1.2608 data_time: 0.0782 memory: 28971 loss_text: 0.1435 loss_kernel: 0.0675 loss: 0.2110 2022/08/27 12:46:11 - mmengine - INFO - Epoch(train) [548][40/63] lr: 1.0000e-06 eta: 3:27:48 time: 1.2193 data_time: 0.0363 memory: 28971 loss_text: 0.1139 loss_kernel: 0.0549 loss: 0.1688 2022/08/27 12:46:16 - mmengine - INFO - Epoch(train) [548][45/63] lr: 1.0000e-06 eta: 3:27:48 time: 0.8673 data_time: 0.0274 memory: 28971 loss_text: 0.1187 loss_kernel: 0.0563 loss: 0.1750 2022/08/27 12:46:22 - mmengine - INFO - Epoch(train) [548][50/63] lr: 1.0000e-06 eta: 3:27:08 time: 1.0418 data_time: 0.0431 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0567 loss: 0.1766 2022/08/27 12:46:32 - mmengine - INFO - Epoch(train) [548][55/63] lr: 1.0000e-06 eta: 3:27:08 time: 1.6502 data_time: 0.0661 memory: 28971 loss_text: 0.0990 loss_kernel: 0.0464 loss: 0.1454 2022/08/27 12:46:37 - mmengine - INFO - Epoch(train) [548][60/63] lr: 1.0000e-06 eta: 3:26:28 time: 1.5093 data_time: 0.0827 memory: 28971 loss_text: 0.1237 loss_kernel: 0.0573 loss: 0.1809 2022/08/27 12:46:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:48:12 - mmengine - INFO - Epoch(train) [549][5/63] lr: 1.0000e-06 eta: 3:26:28 time: 9.6805 data_time: 8.4940 memory: 28971 loss_text: 0.1496 loss_kernel: 0.0695 loss: 0.2191 2022/08/27 12:48:17 - mmengine - INFO - Epoch(train) [549][10/63] lr: 1.0000e-06 eta: 3:25:43 time: 9.7362 data_time: 8.5169 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0581 loss: 0.1813 2022/08/27 12:48:23 - mmengine - INFO - Epoch(train) [549][15/63] lr: 1.0000e-06 eta: 3:25:43 time: 1.1040 data_time: 0.0372 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0660 loss: 0.2071 2022/08/27 12:48:31 - mmengine - INFO - Epoch(train) [549][20/63] lr: 1.0000e-06 eta: 3:25:03 time: 1.4677 data_time: 0.0583 memory: 28971 loss_text: 0.1569 loss_kernel: 0.0725 loss: 0.2294 2022/08/27 12:48:36 - mmengine - INFO - Epoch(train) [549][25/63] lr: 1.0000e-06 eta: 3:25:03 time: 1.2483 data_time: 0.0550 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0615 loss: 0.1938 2022/08/27 12:48:44 - mmengine - INFO - Epoch(train) [549][30/63] lr: 1.0000e-06 eta: 3:24:23 time: 1.2728 data_time: 0.0429 memory: 28971 loss_text: 0.1433 loss_kernel: 0.0669 loss: 0.2103 2022/08/27 12:48:48 - mmengine - INFO - Epoch(train) [549][35/63] lr: 1.0000e-06 eta: 3:24:23 time: 1.2672 data_time: 0.0612 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0686 loss: 0.2147 2022/08/27 12:48:53 - mmengine - INFO - Epoch(train) [549][40/63] lr: 1.0000e-06 eta: 3:23:43 time: 0.8658 data_time: 0.0418 memory: 28971 loss_text: 0.1182 loss_kernel: 0.0562 loss: 0.1744 2022/08/27 12:49:01 - mmengine - INFO - Epoch(train) [549][45/63] lr: 1.0000e-06 eta: 3:23:43 time: 1.2428 data_time: 0.0571 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0543 loss: 0.1685 2022/08/27 12:49:06 - mmengine - INFO - Epoch(train) [549][50/63] lr: 1.0000e-06 eta: 3:23:03 time: 1.2864 data_time: 0.0711 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0658 loss: 0.2078 2022/08/27 12:49:12 - mmengine - INFO - Epoch(train) [549][55/63] lr: 1.0000e-06 eta: 3:23:03 time: 1.1198 data_time: 0.0438 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0575 loss: 0.1814 2022/08/27 12:49:18 - mmengine - INFO - Epoch(train) [549][60/63] lr: 1.0000e-06 eta: 3:22:22 time: 1.2655 data_time: 0.0626 memory: 28971 loss_text: 0.0965 loss_kernel: 0.0459 loss: 0.1424 2022/08/27 12:49:22 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:51:06 - mmengine - INFO - Epoch(train) [550][5/63] lr: 1.0000e-06 eta: 3:22:22 time: 10.9513 data_time: 9.3045 memory: 28971 loss_text: 0.0902 loss_kernel: 0.0446 loss: 0.1347 2022/08/27 12:51:11 - mmengine - INFO - Epoch(train) [550][10/63] lr: 1.0000e-06 eta: 3:21:39 time: 10.9251 data_time: 9.3522 memory: 28971 loss_text: 0.1075 loss_kernel: 0.0521 loss: 0.1596 2022/08/27 12:51:25 - mmengine - INFO - Epoch(train) [550][15/63] lr: 1.0000e-06 eta: 3:21:39 time: 1.8554 data_time: 0.0968 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0614 loss: 0.1912 2022/08/27 12:51:29 - mmengine - INFO - Epoch(train) [550][20/63] lr: 1.0000e-06 eta: 3:20:59 time: 1.7854 data_time: 0.0568 memory: 28971 loss_text: 0.1341 loss_kernel: 0.0627 loss: 0.1968 2022/08/27 12:51:46 - mmengine - INFO - Epoch(train) [550][25/63] lr: 1.0000e-06 eta: 3:20:59 time: 2.1721 data_time: 0.0989 memory: 28971 loss_text: 0.1305 loss_kernel: 0.0610 loss: 0.1915 2022/08/27 12:51:51 - mmengine - INFO - Epoch(train) [550][30/63] lr: 1.0000e-06 eta: 3:20:20 time: 2.2416 data_time: 0.1211 memory: 28971 loss_text: 0.1404 loss_kernel: 0.0649 loss: 0.2053 2022/08/27 12:52:05 - mmengine - INFO - Epoch(train) [550][35/63] lr: 1.0000e-06 eta: 3:20:20 time: 1.8176 data_time: 0.0723 memory: 28971 loss_text: 0.1357 loss_kernel: 0.0632 loss: 0.1989 2022/08/27 12:52:09 - mmengine - INFO - Epoch(train) [550][40/63] lr: 1.0000e-06 eta: 3:19:41 time: 1.7911 data_time: 0.0642 memory: 28971 loss_text: 0.1091 loss_kernel: 0.0523 loss: 0.1614 2022/08/27 12:52:25 - mmengine - INFO - Epoch(train) [550][45/63] lr: 1.0000e-06 eta: 3:19:41 time: 2.0739 data_time: 0.1185 memory: 28971 loss_text: 0.1048 loss_kernel: 0.0502 loss: 0.1549 2022/08/27 12:52:30 - mmengine - INFO - Epoch(train) [550][50/63] lr: 1.0000e-06 eta: 3:19:01 time: 2.0535 data_time: 0.1197 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0609 loss: 0.1905 2022/08/27 12:52:45 - mmengine - INFO - Epoch(train) [550][55/63] lr: 1.0000e-06 eta: 3:19:01 time: 1.9971 data_time: 0.0746 memory: 28971 loss_text: 0.1190 loss_kernel: 0.0575 loss: 0.1766 2022/08/27 12:52:51 - mmengine - INFO - Epoch(train) [550][60/63] lr: 1.0000e-06 eta: 3:18:22 time: 2.0855 data_time: 0.0703 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0567 loss: 0.1755 2022/08/27 12:52:57 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:54:41 - mmengine - INFO - Epoch(train) [551][5/63] lr: 1.0000e-06 eta: 3:18:22 time: 11.1796 data_time: 9.1562 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0576 loss: 0.1792 2022/08/27 12:54:47 - mmengine - INFO - Epoch(train) [551][10/63] lr: 1.0000e-06 eta: 3:17:38 time: 10.9609 data_time: 9.2050 memory: 28971 loss_text: 0.1090 loss_kernel: 0.0518 loss: 0.1609 2022/08/27 12:55:01 - mmengine - INFO - Epoch(train) [551][15/63] lr: 1.0000e-06 eta: 3:17:38 time: 1.9720 data_time: 0.0663 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0551 loss: 0.1725 2022/08/27 12:55:06 - mmengine - INFO - Epoch(train) [551][20/63] lr: 1.0000e-06 eta: 3:16:59 time: 1.8716 data_time: 0.0877 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0586 loss: 0.1811 2022/08/27 12:55:19 - mmengine - INFO - Epoch(train) [551][25/63] lr: 1.0000e-06 eta: 3:16:59 time: 1.7417 data_time: 0.1397 memory: 28971 loss_text: 0.1162 loss_kernel: 0.0559 loss: 0.1721 2022/08/27 12:55:23 - mmengine - INFO - Epoch(train) [551][30/63] lr: 1.0000e-06 eta: 3:16:19 time: 1.7256 data_time: 0.1072 memory: 28971 loss_text: 0.1291 loss_kernel: 0.0602 loss: 0.1893 2022/08/27 12:55:39 - mmengine - INFO - Epoch(train) [551][35/63] lr: 1.0000e-06 eta: 3:16:19 time: 2.0298 data_time: 0.0625 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0528 loss: 0.1645 2022/08/27 12:55:44 - mmengine - INFO - Epoch(train) [551][40/63] lr: 1.0000e-06 eta: 3:15:40 time: 2.0361 data_time: 0.0433 memory: 28971 loss_text: 0.1011 loss_kernel: 0.0488 loss: 0.1499 2022/08/27 12:56:01 - mmengine - INFO - Epoch(train) [551][45/63] lr: 1.0000e-06 eta: 3:15:40 time: 2.2207 data_time: 0.0755 memory: 28971 loss_text: 0.1335 loss_kernel: 0.0616 loss: 0.1951 2022/08/27 12:56:06 - mmengine - INFO - Epoch(train) [551][50/63] lr: 1.0000e-06 eta: 3:15:01 time: 2.2154 data_time: 0.1182 memory: 28971 loss_text: 0.1445 loss_kernel: 0.0667 loss: 0.2112 2022/08/27 12:56:24 - mmengine - INFO - Epoch(train) [551][55/63] lr: 1.0000e-06 eta: 3:15:01 time: 2.2947 data_time: 0.0858 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0742 loss: 0.2338 2022/08/27 12:56:36 - mmengine - INFO - Epoch(train) [551][60/63] lr: 1.0000e-06 eta: 3:14:22 time: 2.9821 data_time: 0.1916 memory: 28971 loss_text: 0.1512 loss_kernel: 0.0705 loss: 0.2218 2022/08/27 12:56:42 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 12:58:26 - mmengine - INFO - Epoch(train) [552][5/63] lr: 1.0000e-06 eta: 3:14:22 time: 11.2000 data_time: 9.3002 memory: 28971 loss_text: 0.1322 loss_kernel: 0.0622 loss: 0.1944 2022/08/27 12:58:32 - mmengine - INFO - Epoch(train) [552][10/63] lr: 1.0000e-06 eta: 3:13:39 time: 10.9563 data_time: 9.3412 memory: 28971 loss_text: 0.1463 loss_kernel: 0.0678 loss: 0.2141 2022/08/27 12:58:46 - mmengine - INFO - Epoch(train) [552][15/63] lr: 1.0000e-06 eta: 3:13:39 time: 1.9553 data_time: 0.1436 memory: 28971 loss_text: 0.1435 loss_kernel: 0.0668 loss: 0.2103 2022/08/27 12:58:51 - mmengine - INFO - Epoch(train) [552][20/63] lr: 1.0000e-06 eta: 3:12:59 time: 1.9291 data_time: 0.1163 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0566 loss: 0.1754 2022/08/27 12:59:10 - mmengine - INFO - Epoch(train) [552][25/63] lr: 1.0000e-06 eta: 3:12:59 time: 2.3819 data_time: 0.1099 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0550 loss: 0.1692 2022/08/27 12:59:15 - mmengine - INFO - Epoch(train) [552][30/63] lr: 1.0000e-06 eta: 3:12:20 time: 2.3929 data_time: 0.1547 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0652 loss: 0.2040 2022/08/27 12:59:30 - mmengine - INFO - Epoch(train) [552][35/63] lr: 1.0000e-06 eta: 3:12:20 time: 2.0719 data_time: 0.1179 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0608 loss: 0.1912 2022/08/27 12:59:35 - mmengine - INFO - Epoch(train) [552][40/63] lr: 1.0000e-06 eta: 3:11:41 time: 1.9950 data_time: 0.0567 memory: 28971 loss_text: 0.1160 loss_kernel: 0.0548 loss: 0.1708 2022/08/27 12:59:49 - mmengine - INFO - Epoch(train) [552][45/63] lr: 1.0000e-06 eta: 3:11:41 time: 1.8360 data_time: 0.0836 memory: 28971 loss_text: 0.1242 loss_kernel: 0.0580 loss: 0.1822 2022/08/27 12:59:57 - mmengine - INFO - Epoch(train) [552][50/63] lr: 1.0000e-06 eta: 3:11:02 time: 2.1631 data_time: 0.0835 memory: 28971 loss_text: 0.1465 loss_kernel: 0.0679 loss: 0.2144 2022/08/27 13:00:11 - mmengine - INFO - Epoch(train) [552][55/63] lr: 1.0000e-06 eta: 3:11:02 time: 2.2025 data_time: 0.1680 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0585 loss: 0.1825 2022/08/27 13:00:28 - mmengine - INFO - Epoch(train) [552][60/63] lr: 1.0000e-06 eta: 3:10:23 time: 3.1183 data_time: 0.2813 memory: 28971 loss_text: 0.0916 loss_kernel: 0.0446 loss: 0.1362 2022/08/27 13:00:32 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:02:15 - mmengine - INFO - Epoch(train) [553][5/63] lr: 1.0000e-06 eta: 3:10:23 time: 10.9247 data_time: 9.3063 memory: 28971 loss_text: 0.1240 loss_kernel: 0.0589 loss: 0.1829 2022/08/27 13:02:22 - mmengine - INFO - Epoch(train) [553][10/63] lr: 1.0000e-06 eta: 3:09:40 time: 10.9122 data_time: 9.2893 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0587 loss: 0.1808 2022/08/27 13:02:35 - mmengine - INFO - Epoch(train) [553][15/63] lr: 1.0000e-06 eta: 3:09:40 time: 1.9527 data_time: 0.0822 memory: 28971 loss_text: 0.1036 loss_kernel: 0.0501 loss: 0.1537 2022/08/27 13:02:40 - mmengine - INFO - Epoch(train) [553][20/63] lr: 1.0000e-06 eta: 3:09:00 time: 1.8110 data_time: 0.0751 memory: 28971 loss_text: 0.0882 loss_kernel: 0.0433 loss: 0.1316 2022/08/27 13:02:55 - mmengine - INFO - Epoch(train) [553][25/63] lr: 1.0000e-06 eta: 3:09:00 time: 1.9503 data_time: 0.0968 memory: 28971 loss_text: 0.0992 loss_kernel: 0.0486 loss: 0.1478 2022/08/27 13:03:00 - mmengine - INFO - Epoch(train) [553][30/63] lr: 1.0000e-06 eta: 3:08:21 time: 2.0520 data_time: 0.0949 memory: 28971 loss_text: 0.1161 loss_kernel: 0.0559 loss: 0.1720 2022/08/27 13:03:14 - mmengine - INFO - Epoch(train) [553][35/63] lr: 1.0000e-06 eta: 3:08:21 time: 1.9771 data_time: 0.0882 memory: 28971 loss_text: 0.1448 loss_kernel: 0.0681 loss: 0.2129 2022/08/27 13:03:19 - mmengine - INFO - Epoch(train) [553][40/63] lr: 1.0000e-06 eta: 3:07:42 time: 1.8630 data_time: 0.0954 memory: 28971 loss_text: 0.1657 loss_kernel: 0.0765 loss: 0.2422 2022/08/27 13:03:29 - mmengine - INFO - Epoch(train) [553][45/63] lr: 1.0000e-06 eta: 3:07:42 time: 1.4546 data_time: 0.0695 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0674 loss: 0.2129 2022/08/27 13:03:39 - mmengine - INFO - Epoch(train) [553][50/63] lr: 1.0000e-06 eta: 3:07:02 time: 2.0241 data_time: 0.1250 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0577 loss: 0.1799 2022/08/27 13:03:53 - mmengine - INFO - Epoch(train) [553][55/63] lr: 1.0000e-06 eta: 3:07:02 time: 2.3817 data_time: 0.1262 memory: 28971 loss_text: 0.1198 loss_kernel: 0.0560 loss: 0.1758 2022/08/27 13:03:59 - mmengine - INFO - Epoch(train) [553][60/63] lr: 1.0000e-06 eta: 3:06:23 time: 2.0058 data_time: 0.1152 memory: 28971 loss_text: 0.1364 loss_kernel: 0.0627 loss: 0.1991 2022/08/27 13:04:02 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:05:46 - mmengine - INFO - Epoch(train) [554][5/63] lr: 1.0000e-06 eta: 3:06:23 time: 10.9058 data_time: 9.2570 memory: 28971 loss_text: 0.1196 loss_kernel: 0.0574 loss: 0.1769 2022/08/27 13:06:04 - mmengine - INFO - Epoch(train) [554][10/63] lr: 1.0000e-06 eta: 3:05:40 time: 12.1149 data_time: 9.5198 memory: 28971 loss_text: 0.1170 loss_kernel: 0.0557 loss: 0.1727 2022/08/27 13:06:08 - mmengine - INFO - Epoch(train) [554][15/63] lr: 1.0000e-06 eta: 3:05:40 time: 2.2219 data_time: 0.3221 memory: 28971 loss_text: 0.1175 loss_kernel: 0.0551 loss: 0.1725 2022/08/27 13:06:20 - mmengine - INFO - Epoch(train) [554][20/63] lr: 1.0000e-06 eta: 3:05:01 time: 1.5694 data_time: 0.0594 memory: 28971 loss_text: 0.1205 loss_kernel: 0.0566 loss: 0.1771 2022/08/27 13:06:28 - mmengine - INFO - Epoch(train) [554][25/63] lr: 1.0000e-06 eta: 3:05:01 time: 1.9485 data_time: 0.1797 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0642 loss: 0.2015 2022/08/27 13:06:32 - mmengine - INFO - Epoch(train) [554][30/63] lr: 1.0000e-06 eta: 3:04:21 time: 1.3166 data_time: 0.1805 memory: 28971 loss_text: 0.1509 loss_kernel: 0.0698 loss: 0.2207 2022/08/27 13:06:46 - mmengine - INFO - Epoch(train) [554][35/63] lr: 1.0000e-06 eta: 3:04:21 time: 1.8202 data_time: 0.0559 memory: 28971 loss_text: 0.1389 loss_kernel: 0.0640 loss: 0.2028 2022/08/27 13:06:50 - mmengine - INFO - Epoch(train) [554][40/63] lr: 1.0000e-06 eta: 3:03:41 time: 1.8058 data_time: 0.0710 memory: 28971 loss_text: 0.1290 loss_kernel: 0.0603 loss: 0.1893 2022/08/27 13:07:05 - mmengine - INFO - Epoch(train) [554][45/63] lr: 1.0000e-06 eta: 3:03:41 time: 1.8628 data_time: 0.0564 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0680 loss: 0.2150 2022/08/27 13:07:12 - mmengine - INFO - Epoch(train) [554][50/63] lr: 1.0000e-06 eta: 3:03:02 time: 2.1127 data_time: 0.0954 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0632 loss: 0.2019 2022/08/27 13:07:31 - mmengine - INFO - Epoch(train) [554][55/63] lr: 1.0000e-06 eta: 3:03:02 time: 2.5766 data_time: 0.1276 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0546 loss: 0.1722 2022/08/27 13:07:35 - mmengine - INFO - Epoch(train) [554][60/63] lr: 1.0000e-06 eta: 3:02:23 time: 2.3731 data_time: 0.1154 memory: 28971 loss_text: 0.1600 loss_kernel: 0.0734 loss: 0.2335 2022/08/27 13:07:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:09:20 - mmengine - INFO - Epoch(train) [555][5/63] lr: 1.0000e-06 eta: 3:02:23 time: 10.5715 data_time: 8.9517 memory: 28971 loss_text: 0.1421 loss_kernel: 0.0660 loss: 0.2081 2022/08/27 13:09:25 - mmengine - INFO - Epoch(train) [555][10/63] lr: 1.0000e-06 eta: 3:01:39 time: 10.6963 data_time: 8.9927 memory: 28971 loss_text: 0.1524 loss_kernel: 0.0697 loss: 0.2221 2022/08/27 13:09:39 - mmengine - INFO - Epoch(train) [555][15/63] lr: 1.0000e-06 eta: 3:01:39 time: 1.9261 data_time: 0.0973 memory: 28971 loss_text: 0.1205 loss_kernel: 0.0568 loss: 0.1773 2022/08/27 13:09:44 - mmengine - INFO - Epoch(train) [555][20/63] lr: 1.0000e-06 eta: 3:01:00 time: 1.8605 data_time: 0.1289 memory: 28971 loss_text: 0.1130 loss_kernel: 0.0553 loss: 0.1683 2022/08/27 13:09:57 - mmengine - INFO - Epoch(train) [555][25/63] lr: 1.0000e-06 eta: 3:01:00 time: 1.7846 data_time: 0.1609 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0644 loss: 0.2006 2022/08/27 13:10:07 - mmengine - INFO - Epoch(train) [555][30/63] lr: 1.0000e-06 eta: 3:00:21 time: 2.2686 data_time: 0.1121 memory: 28971 loss_text: 0.1354 loss_kernel: 0.0612 loss: 0.1965 2022/08/27 13:10:17 - mmengine - INFO - Epoch(train) [555][35/63] lr: 1.0000e-06 eta: 3:00:21 time: 2.0352 data_time: 0.1356 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0544 loss: 0.1744 2022/08/27 13:10:27 - mmengine - INFO - Epoch(train) [555][40/63] lr: 1.0000e-06 eta: 2:59:42 time: 1.9878 data_time: 0.1473 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0645 loss: 0.2011 2022/08/27 13:10:38 - mmengine - INFO - Epoch(train) [555][45/63] lr: 1.0000e-06 eta: 2:59:42 time: 2.0514 data_time: 0.0958 memory: 28971 loss_text: 0.1570 loss_kernel: 0.0738 loss: 0.2308 2022/08/27 13:10:54 - mmengine - INFO - Epoch(train) [555][50/63] lr: 1.0000e-06 eta: 2:59:03 time: 2.7771 data_time: 0.1809 memory: 28971 loss_text: 0.1434 loss_kernel: 0.0670 loss: 0.2104 2022/08/27 13:11:09 - mmengine - INFO - Epoch(train) [555][55/63] lr: 1.0000e-06 eta: 2:59:03 time: 3.1187 data_time: 0.1952 memory: 28971 loss_text: 0.1439 loss_kernel: 0.0662 loss: 0.2101 2022/08/27 13:11:15 - mmengine - INFO - Epoch(train) [555][60/63] lr: 1.0000e-06 eta: 2:58:24 time: 2.0927 data_time: 0.1888 memory: 28971 loss_text: 0.1355 loss_kernel: 0.0622 loss: 0.1977 2022/08/27 13:11:31 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:13:15 - mmengine - INFO - Epoch(train) [556][5/63] lr: 1.0000e-06 eta: 2:58:24 time: 12.1604 data_time: 9.4347 memory: 28971 loss_text: 0.1486 loss_kernel: 0.0694 loss: 0.2180 2022/08/27 13:13:21 - mmengine - INFO - Epoch(train) [556][10/63] lr: 1.0000e-06 eta: 2:57:40 time: 10.9084 data_time: 9.4041 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0610 loss: 0.1886 2022/08/27 13:13:36 - mmengine - INFO - Epoch(train) [556][15/63] lr: 1.0000e-06 eta: 2:57:40 time: 2.0417 data_time: 0.1431 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0583 loss: 0.1802 2022/08/27 13:13:40 - mmengine - INFO - Epoch(train) [556][20/63] lr: 1.0000e-06 eta: 2:57:01 time: 1.9879 data_time: 0.1269 memory: 28971 loss_text: 0.1120 loss_kernel: 0.0530 loss: 0.1650 2022/08/27 13:13:56 - mmengine - INFO - Epoch(train) [556][25/63] lr: 1.0000e-06 eta: 2:57:01 time: 2.0190 data_time: 0.0951 memory: 28971 loss_text: 0.1155 loss_kernel: 0.0542 loss: 0.1697 2022/08/27 13:14:00 - mmengine - INFO - Epoch(train) [556][30/63] lr: 1.0000e-06 eta: 2:56:21 time: 1.9979 data_time: 0.1016 memory: 28971 loss_text: 0.1418 loss_kernel: 0.0667 loss: 0.2085 2022/08/27 13:14:15 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:14:15 - mmengine - INFO - Epoch(train) [556][35/63] lr: 1.0000e-06 eta: 2:56:21 time: 1.9035 data_time: 0.1143 memory: 28971 loss_text: 0.1229 loss_kernel: 0.0586 loss: 0.1815 2022/08/27 13:14:20 - mmengine - INFO - Epoch(train) [556][40/63] lr: 1.0000e-06 eta: 2:55:42 time: 1.9135 data_time: 0.1198 memory: 28971 loss_text: 0.1047 loss_kernel: 0.0504 loss: 0.1551 2022/08/27 13:14:37 - mmengine - INFO - Epoch(train) [556][45/63] lr: 1.0000e-06 eta: 2:55:42 time: 2.1753 data_time: 0.1036 memory: 28971 loss_text: 0.1429 loss_kernel: 0.0668 loss: 0.2097 2022/08/27 13:14:41 - mmengine - INFO - Epoch(train) [556][50/63] lr: 1.0000e-06 eta: 2:55:03 time: 2.1727 data_time: 0.0964 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0545 loss: 0.1726 2022/08/27 13:14:59 - mmengine - INFO - Epoch(train) [556][55/63] lr: 1.0000e-06 eta: 2:55:03 time: 2.1654 data_time: 0.0575 memory: 28971 loss_text: 0.0784 loss_kernel: 0.0378 loss: 0.1161 2022/08/27 13:15:04 - mmengine - INFO - Epoch(train) [556][60/63] lr: 1.0000e-06 eta: 2:54:24 time: 2.2971 data_time: 0.1738 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0613 loss: 0.1935 2022/08/27 13:15:08 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:16:50 - mmengine - INFO - Epoch(train) [557][5/63] lr: 1.0000e-06 eta: 2:54:24 time: 10.7239 data_time: 9.1528 memory: 28971 loss_text: 0.1948 loss_kernel: 0.0877 loss: 0.2825 2022/08/27 13:16:55 - mmengine - INFO - Epoch(train) [557][10/63] lr: 1.0000e-06 eta: 2:53:40 time: 10.6640 data_time: 9.1631 memory: 28971 loss_text: 0.1598 loss_kernel: 0.0740 loss: 0.2338 2022/08/27 13:17:11 - mmengine - INFO - Epoch(train) [557][15/63] lr: 1.0000e-06 eta: 2:53:40 time: 2.0634 data_time: 0.1303 memory: 28971 loss_text: 0.1079 loss_kernel: 0.0516 loss: 0.1595 2022/08/27 13:17:16 - mmengine - INFO - Epoch(train) [557][20/63] lr: 1.0000e-06 eta: 2:53:01 time: 2.0939 data_time: 0.1517 memory: 28971 loss_text: 0.1147 loss_kernel: 0.0543 loss: 0.1690 2022/08/27 13:17:30 - mmengine - INFO - Epoch(train) [557][25/63] lr: 1.0000e-06 eta: 2:53:01 time: 1.8771 data_time: 0.1122 memory: 28971 loss_text: 0.1628 loss_kernel: 0.0749 loss: 0.2377 2022/08/27 13:17:34 - mmengine - INFO - Epoch(train) [557][30/63] lr: 1.0000e-06 eta: 2:52:22 time: 1.8352 data_time: 0.0934 memory: 28971 loss_text: 0.1515 loss_kernel: 0.0700 loss: 0.2214 2022/08/27 13:17:50 - mmengine - INFO - Epoch(train) [557][35/63] lr: 1.0000e-06 eta: 2:52:22 time: 1.9918 data_time: 0.0799 memory: 28971 loss_text: 0.1395 loss_kernel: 0.0639 loss: 0.2033 2022/08/27 13:17:55 - mmengine - INFO - Epoch(train) [557][40/63] lr: 1.0000e-06 eta: 2:51:43 time: 2.0509 data_time: 0.0939 memory: 28971 loss_text: 0.1321 loss_kernel: 0.0628 loss: 0.1949 2022/08/27 13:18:09 - mmengine - INFO - Epoch(train) [557][45/63] lr: 1.0000e-06 eta: 2:51:43 time: 1.9342 data_time: 0.0732 memory: 28971 loss_text: 0.0939 loss_kernel: 0.0483 loss: 0.1421 2022/08/27 13:18:14 - mmengine - INFO - Epoch(train) [557][50/63] lr: 1.0000e-06 eta: 2:51:03 time: 1.9326 data_time: 0.0800 memory: 28971 loss_text: 0.0873 loss_kernel: 0.0440 loss: 0.1313 2022/08/27 13:18:30 - mmengine - INFO - Epoch(train) [557][55/63] lr: 1.0000e-06 eta: 2:51:03 time: 2.0988 data_time: 0.1172 memory: 28971 loss_text: 0.1158 loss_kernel: 0.0549 loss: 0.1707 2022/08/27 13:18:36 - mmengine - INFO - Epoch(train) [557][60/63] lr: 1.0000e-06 eta: 2:50:24 time: 2.1742 data_time: 0.2172 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0618 loss: 0.1928 2022/08/27 13:18:50 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:20:36 - mmengine - INFO - Epoch(train) [558][5/63] lr: 1.0000e-06 eta: 2:50:24 time: 12.1039 data_time: 9.3127 memory: 28971 loss_text: 0.1799 loss_kernel: 0.0819 loss: 0.2618 2022/08/27 13:20:41 - mmengine - INFO - Epoch(train) [558][10/63] lr: 1.0000e-06 eta: 2:49:40 time: 11.0596 data_time: 9.3389 memory: 28971 loss_text: 0.1587 loss_kernel: 0.0729 loss: 0.2317 2022/08/27 13:20:55 - mmengine - INFO - Epoch(train) [558][15/63] lr: 1.0000e-06 eta: 2:49:40 time: 1.9550 data_time: 0.0757 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0622 loss: 0.1945 2022/08/27 13:21:00 - mmengine - INFO - Epoch(train) [558][20/63] lr: 1.0000e-06 eta: 2:49:01 time: 1.9273 data_time: 0.0885 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0553 loss: 0.1716 2022/08/27 13:21:16 - mmengine - INFO - Epoch(train) [558][25/63] lr: 1.0000e-06 eta: 2:49:01 time: 2.0509 data_time: 0.0948 memory: 28971 loss_text: 0.1097 loss_kernel: 0.0539 loss: 0.1636 2022/08/27 13:21:20 - mmengine - INFO - Epoch(train) [558][30/63] lr: 1.0000e-06 eta: 2:48:22 time: 1.9990 data_time: 0.0726 memory: 28971 loss_text: 0.1353 loss_kernel: 0.0648 loss: 0.2000 2022/08/27 13:21:34 - mmengine - INFO - Epoch(train) [558][35/63] lr: 1.0000e-06 eta: 2:48:22 time: 1.7762 data_time: 0.0940 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0633 loss: 0.1992 2022/08/27 13:21:39 - mmengine - INFO - Epoch(train) [558][40/63] lr: 1.0000e-06 eta: 2:47:43 time: 1.8396 data_time: 0.0908 memory: 28971 loss_text: 0.1091 loss_kernel: 0.0520 loss: 0.1611 2022/08/27 13:21:55 - mmengine - INFO - Epoch(train) [558][45/63] lr: 1.0000e-06 eta: 2:47:43 time: 2.1547 data_time: 0.0808 memory: 28971 loss_text: 0.1128 loss_kernel: 0.0530 loss: 0.1658 2022/08/27 13:22:00 - mmengine - INFO - Epoch(train) [558][50/63] lr: 1.0000e-06 eta: 2:47:04 time: 2.1499 data_time: 0.1360 memory: 28971 loss_text: 0.1199 loss_kernel: 0.0571 loss: 0.1771 2022/08/27 13:22:14 - mmengine - INFO - Epoch(train) [558][55/63] lr: 1.0000e-06 eta: 2:47:04 time: 1.9032 data_time: 0.1007 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0608 loss: 0.1882 2022/08/27 13:22:24 - mmengine - INFO - Epoch(train) [558][60/63] lr: 1.0000e-06 eta: 2:46:25 time: 2.3573 data_time: 0.1471 memory: 28971 loss_text: 0.1518 loss_kernel: 0.0702 loss: 0.2220 2022/08/27 13:22:29 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:24:06 - mmengine - INFO - Epoch(train) [559][5/63] lr: 1.0000e-06 eta: 2:46:25 time: 10.7209 data_time: 8.6535 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0591 loss: 0.1856 2022/08/27 13:24:11 - mmengine - INFO - Epoch(train) [559][10/63] lr: 1.0000e-06 eta: 2:45:40 time: 10.1260 data_time: 8.6529 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0560 loss: 0.1766 2022/08/27 13:24:24 - mmengine - INFO - Epoch(train) [559][15/63] lr: 1.0000e-06 eta: 2:45:40 time: 1.7503 data_time: 0.1027 memory: 28971 loss_text: 0.1217 loss_kernel: 0.0570 loss: 0.1788 2022/08/27 13:24:28 - mmengine - INFO - Epoch(train) [559][20/63] lr: 1.0000e-06 eta: 2:45:01 time: 1.7387 data_time: 0.1016 memory: 28971 loss_text: 0.1178 loss_kernel: 0.0553 loss: 0.1731 2022/08/27 13:24:37 - mmengine - INFO - Epoch(train) [559][25/63] lr: 1.0000e-06 eta: 2:45:01 time: 1.3768 data_time: 0.0682 memory: 28971 loss_text: 0.1343 loss_kernel: 0.0628 loss: 0.1970 2022/08/27 13:24:45 - mmengine - INFO - Epoch(train) [559][30/63] lr: 1.0000e-06 eta: 2:44:21 time: 1.6477 data_time: 0.0802 memory: 28971 loss_text: 0.1151 loss_kernel: 0.0546 loss: 0.1697 2022/08/27 13:24:49 - mmengine - INFO - Epoch(train) [559][35/63] lr: 1.0000e-06 eta: 2:44:21 time: 1.1770 data_time: 0.0632 memory: 28971 loss_text: 0.1024 loss_kernel: 0.0495 loss: 0.1520 2022/08/27 13:25:04 - mmengine - INFO - Epoch(train) [559][40/63] lr: 1.0000e-06 eta: 2:43:42 time: 1.9034 data_time: 0.0890 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0574 loss: 0.1804 2022/08/27 13:25:11 - mmengine - INFO - Epoch(train) [559][45/63] lr: 1.0000e-06 eta: 2:43:42 time: 2.1556 data_time: 0.1190 memory: 28971 loss_text: 0.1102 loss_kernel: 0.0517 loss: 0.1619 2022/08/27 13:25:21 - mmengine - INFO - Epoch(train) [559][50/63] lr: 1.0000e-06 eta: 2:43:03 time: 1.6953 data_time: 0.0926 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0640 loss: 0.2020 2022/08/27 13:25:32 - mmengine - INFO - Epoch(train) [559][55/63] lr: 1.0000e-06 eta: 2:43:03 time: 2.1018 data_time: 0.1080 memory: 28971 loss_text: 0.1482 loss_kernel: 0.0690 loss: 0.2172 2022/08/27 13:25:45 - mmengine - INFO - Epoch(train) [559][60/63] lr: 1.0000e-06 eta: 2:42:25 time: 2.4357 data_time: 0.1830 memory: 28971 loss_text: 0.1548 loss_kernel: 0.0723 loss: 0.2271 2022/08/27 13:25:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:27:32 - mmengine - INFO - Epoch(train) [560][5/63] lr: 1.0000e-06 eta: 2:42:25 time: 10.8917 data_time: 8.9498 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0692 loss: 0.2171 2022/08/27 13:27:37 - mmengine - INFO - Epoch(train) [560][10/63] lr: 1.0000e-06 eta: 2:41:40 time: 10.4794 data_time: 8.8893 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0660 loss: 0.2084 2022/08/27 13:27:43 - mmengine - INFO - Epoch(train) [560][15/63] lr: 1.0000e-06 eta: 2:41:40 time: 1.1571 data_time: 0.0432 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0587 loss: 0.1867 2022/08/27 13:27:48 - mmengine - INFO - Epoch(train) [560][20/63] lr: 1.0000e-06 eta: 2:41:00 time: 1.1382 data_time: 0.0436 memory: 28971 loss_text: 0.1097 loss_kernel: 0.0514 loss: 0.1611 2022/08/27 13:27:53 - mmengine - INFO - Epoch(train) [560][25/63] lr: 1.0000e-06 eta: 2:41:00 time: 0.9479 data_time: 0.0369 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0563 loss: 0.1755 2022/08/27 13:27:59 - mmengine - INFO - Epoch(train) [560][30/63] lr: 1.0000e-06 eta: 2:40:20 time: 1.0793 data_time: 0.0231 memory: 28971 loss_text: 0.1383 loss_kernel: 0.0643 loss: 0.2026 2022/08/27 13:28:04 - mmengine - INFO - Epoch(train) [560][35/63] lr: 1.0000e-06 eta: 2:40:20 time: 1.1157 data_time: 0.0639 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0589 loss: 0.1838 2022/08/27 13:28:12 - mmengine - INFO - Epoch(train) [560][40/63] lr: 1.0000e-06 eta: 2:39:41 time: 1.3315 data_time: 0.0566 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0620 loss: 0.1943 2022/08/27 13:28:18 - mmengine - INFO - Epoch(train) [560][45/63] lr: 1.0000e-06 eta: 2:39:41 time: 1.3646 data_time: 0.0453 memory: 28971 loss_text: 0.1572 loss_kernel: 0.0720 loss: 0.2292 2022/08/27 13:28:22 - mmengine - INFO - Epoch(train) [560][50/63] lr: 1.0000e-06 eta: 2:39:01 time: 0.9972 data_time: 0.0521 memory: 28971 loss_text: 0.1225 loss_kernel: 0.0580 loss: 0.1804 2022/08/27 13:28:31 - mmengine - INFO - Epoch(train) [560][55/63] lr: 1.0000e-06 eta: 2:39:01 time: 1.3110 data_time: 0.0410 memory: 28971 loss_text: 0.0859 loss_kernel: 0.0429 loss: 0.1289 2022/08/27 13:28:35 - mmengine - INFO - Epoch(train) [560][60/63] lr: 1.0000e-06 eta: 2:38:22 time: 1.3220 data_time: 0.0583 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0584 loss: 0.1803 2022/08/27 13:28:39 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:28:39 - mmengine - INFO - Saving checkpoint at 560 epochs 2022/08/27 13:29:13 - mmengine - INFO - Epoch(val) [560][5/500] eta: 2:38:22 time: 2.9050 data_time: 2.6849 memory: 28971 2022/08/27 13:29:14 - mmengine - INFO - Epoch(val) [560][10/500] eta: 0:23:49 time: 2.9165 data_time: 2.6910 memory: 3207 2022/08/27 13:29:14 - mmengine - INFO - Epoch(val) [560][15/500] eta: 0:23:49 time: 0.0925 data_time: 0.0088 memory: 3207 2022/08/27 13:29:15 - mmengine - INFO - Epoch(val) [560][20/500] eta: 0:00:40 time: 0.0839 data_time: 0.0026 memory: 3207 2022/08/27 13:29:15 - mmengine - INFO - Epoch(val) [560][25/500] eta: 0:00:40 time: 0.0836 data_time: 0.0034 memory: 3207 2022/08/27 13:29:16 - mmengine - INFO - Epoch(val) [560][30/500] eta: 0:00:40 time: 0.0858 data_time: 0.0034 memory: 3207 2022/08/27 13:29:16 - mmengine - INFO - Epoch(val) [560][35/500] eta: 0:00:40 time: 0.0877 data_time: 0.0027 memory: 3207 2022/08/27 13:29:16 - mmengine - INFO - Epoch(val) [560][40/500] eta: 0:00:40 time: 0.0885 data_time: 0.0030 memory: 3207 2022/08/27 13:29:17 - mmengine - INFO - Epoch(val) [560][45/500] eta: 0:00:40 time: 0.0892 data_time: 0.0028 memory: 3207 2022/08/27 13:29:17 - mmengine - INFO - Epoch(val) [560][50/500] eta: 0:00:38 time: 0.0849 data_time: 0.0025 memory: 3207 2022/08/27 13:29:18 - mmengine - INFO - Epoch(val) [560][55/500] eta: 0:00:38 time: 0.0853 data_time: 0.0026 memory: 3207 2022/08/27 13:29:18 - mmengine - INFO - Epoch(val) [560][60/500] eta: 0:00:36 time: 0.0832 data_time: 0.0026 memory: 3207 2022/08/27 13:29:19 - mmengine - INFO - Epoch(val) [560][65/500] eta: 0:00:36 time: 0.0840 data_time: 0.0026 memory: 3207 2022/08/27 13:29:19 - mmengine - INFO - Epoch(val) [560][70/500] eta: 0:00:37 time: 0.0882 data_time: 0.0024 memory: 3207 2022/08/27 13:29:19 - mmengine - INFO - Epoch(val) [560][75/500] eta: 0:00:37 time: 0.0864 data_time: 0.0028 memory: 3207 2022/08/27 13:29:20 - mmengine - INFO - Epoch(val) [560][80/500] eta: 0:00:34 time: 0.0821 data_time: 0.0029 memory: 3207 2022/08/27 13:29:20 - mmengine - INFO - Epoch(val) [560][85/500] eta: 0:00:34 time: 0.0779 data_time: 0.0023 memory: 3207 2022/08/27 13:29:21 - mmengine - INFO - Epoch(val) [560][90/500] eta: 0:00:33 time: 0.0820 data_time: 0.0022 memory: 3207 2022/08/27 13:29:21 - mmengine - INFO - Epoch(val) [560][95/500] eta: 0:00:33 time: 0.0854 data_time: 0.0022 memory: 3207 2022/08/27 13:29:21 - mmengine - INFO - Epoch(val) [560][100/500] eta: 0:00:34 time: 0.0864 data_time: 0.0063 memory: 3207 2022/08/27 13:29:22 - mmengine - INFO - Epoch(val) [560][105/500] eta: 0:00:34 time: 0.0890 data_time: 0.0079 memory: 3207 2022/08/27 13:29:22 - mmengine - INFO - Epoch(val) [560][110/500] eta: 0:00:33 time: 0.0861 data_time: 0.0040 memory: 3207 2022/08/27 13:29:23 - mmengine - INFO - Epoch(val) [560][115/500] eta: 0:00:33 time: 0.1200 data_time: 0.0028 memory: 3207 2022/08/27 13:29:24 - mmengine - INFO - Epoch(val) [560][120/500] eta: 0:00:58 time: 0.1536 data_time: 0.0055 memory: 3207 2022/08/27 13:29:25 - mmengine - INFO - Epoch(val) [560][125/500] eta: 0:00:58 time: 0.1453 data_time: 0.0057 memory: 3207 2022/08/27 13:29:25 - mmengine - INFO - Epoch(val) [560][130/500] eta: 0:00:48 time: 0.1318 data_time: 0.0035 memory: 3207 2022/08/27 13:29:26 - mmengine - INFO - Epoch(val) [560][135/500] eta: 0:00:48 time: 0.1443 data_time: 0.0294 memory: 3207 2022/08/27 13:29:26 - mmengine - INFO - Epoch(val) [560][140/500] eta: 0:00:44 time: 0.1238 data_time: 0.0287 memory: 3207 2022/08/27 13:29:27 - mmengine - INFO - Epoch(val) [560][145/500] eta: 0:00:44 time: 0.0857 data_time: 0.0024 memory: 3207 2022/08/27 13:29:27 - mmengine - INFO - Epoch(val) [560][150/500] eta: 0:00:30 time: 0.0860 data_time: 0.0024 memory: 3207 2022/08/27 13:29:28 - mmengine - INFO - Epoch(val) [560][155/500] eta: 0:00:30 time: 0.0885 data_time: 0.0027 memory: 3207 2022/08/27 13:29:28 - mmengine - INFO - Epoch(val) [560][160/500] eta: 0:00:30 time: 0.0884 data_time: 0.0027 memory: 3207 2022/08/27 13:29:29 - mmengine - INFO - Epoch(val) [560][165/500] eta: 0:00:30 time: 0.0852 data_time: 0.0024 memory: 3207 2022/08/27 13:29:29 - mmengine - INFO - Epoch(val) [560][170/500] eta: 0:00:28 time: 0.0870 data_time: 0.0024 memory: 3207 2022/08/27 13:29:29 - mmengine - INFO - Epoch(val) [560][175/500] eta: 0:00:28 time: 0.0850 data_time: 0.0026 memory: 3207 2022/08/27 13:29:30 - mmengine - INFO - Epoch(val) [560][180/500] eta: 0:00:27 time: 0.0857 data_time: 0.0031 memory: 3207 2022/08/27 13:29:30 - mmengine - INFO - Epoch(val) [560][185/500] eta: 0:00:27 time: 0.0913 data_time: 0.0049 memory: 3207 2022/08/27 13:29:31 - mmengine - INFO - Epoch(val) [560][190/500] eta: 0:00:28 time: 0.0918 data_time: 0.0047 memory: 3207 2022/08/27 13:29:31 - mmengine - INFO - Epoch(val) [560][195/500] eta: 0:00:28 time: 0.0870 data_time: 0.0041 memory: 3207 2022/08/27 13:29:32 - mmengine - INFO - Epoch(val) [560][200/500] eta: 0:00:31 time: 0.1035 data_time: 0.0137 memory: 3207 2022/08/27 13:29:32 - mmengine - INFO - Epoch(val) [560][205/500] eta: 0:00:31 time: 0.1037 data_time: 0.0129 memory: 3207 2022/08/27 13:29:33 - mmengine - INFO - Epoch(val) [560][210/500] eta: 0:00:24 time: 0.0830 data_time: 0.0031 memory: 3207 2022/08/27 13:29:34 - mmengine - INFO - Epoch(val) [560][215/500] eta: 0:00:24 time: 0.1451 data_time: 0.0084 memory: 3207 2022/08/27 13:29:37 - mmengine - INFO - Epoch(val) [560][220/500] eta: 0:01:47 time: 0.3830 data_time: 0.0195 memory: 3207 2022/08/27 13:29:37 - mmengine - INFO - Epoch(val) [560][225/500] eta: 0:01:47 time: 0.3265 data_time: 0.0156 memory: 3207 2022/08/27 13:29:38 - mmengine - INFO - Epoch(val) [560][230/500] eta: 0:00:26 time: 0.0967 data_time: 0.0060 memory: 3207 2022/08/27 13:29:38 - mmengine - INFO - Epoch(val) [560][235/500] eta: 0:00:26 time: 0.0934 data_time: 0.0047 memory: 3207 2022/08/27 13:29:38 - mmengine - INFO - Epoch(val) [560][240/500] eta: 0:00:23 time: 0.0888 data_time: 0.0034 memory: 3207 2022/08/27 13:29:39 - mmengine - INFO - Epoch(val) [560][245/500] eta: 0:00:23 time: 0.0856 data_time: 0.0034 memory: 3207 2022/08/27 13:29:39 - mmengine - INFO - Epoch(val) [560][250/500] eta: 0:00:21 time: 0.0845 data_time: 0.0032 memory: 3207 2022/08/27 13:29:40 - mmengine - INFO - Epoch(val) [560][255/500] eta: 0:00:21 time: 0.0838 data_time: 0.0032 memory: 3207 2022/08/27 13:29:40 - mmengine - INFO - Epoch(val) [560][260/500] eta: 0:00:20 time: 0.0849 data_time: 0.0039 memory: 3207 2022/08/27 13:29:41 - mmengine - INFO - Epoch(val) [560][265/500] eta: 0:00:20 time: 0.0882 data_time: 0.0060 memory: 3207 2022/08/27 13:29:41 - mmengine - INFO - Epoch(val) [560][270/500] eta: 0:00:20 time: 0.0877 data_time: 0.0055 memory: 3207 2022/08/27 13:29:41 - mmengine - INFO - Epoch(val) [560][275/500] eta: 0:00:20 time: 0.0855 data_time: 0.0044 memory: 3207 2022/08/27 13:29:42 - mmengine - INFO - Epoch(val) [560][280/500] eta: 0:00:21 time: 0.0977 data_time: 0.0096 memory: 3207 2022/08/27 13:29:42 - mmengine - INFO - Epoch(val) [560][285/500] eta: 0:00:21 time: 0.0967 data_time: 0.0081 memory: 3207 2022/08/27 13:29:43 - mmengine - INFO - Epoch(val) [560][290/500] eta: 0:00:17 time: 0.0849 data_time: 0.0027 memory: 3207 2022/08/27 13:29:43 - mmengine - INFO - Epoch(val) [560][295/500] eta: 0:00:17 time: 0.1016 data_time: 0.0027 memory: 3207 2022/08/27 13:29:44 - mmengine - INFO - Epoch(val) [560][300/500] eta: 0:00:24 time: 0.1202 data_time: 0.0053 memory: 3207 2022/08/27 13:29:44 - mmengine - INFO - Epoch(val) [560][305/500] eta: 0:00:24 time: 0.1057 data_time: 0.0054 memory: 3207 2022/08/27 13:29:45 - mmengine - INFO - Epoch(val) [560][310/500] eta: 0:00:16 time: 0.0847 data_time: 0.0027 memory: 3207 2022/08/27 13:29:45 - mmengine - INFO - Epoch(val) [560][315/500] eta: 0:00:16 time: 0.0854 data_time: 0.0025 memory: 3207 2022/08/27 13:29:46 - mmengine - INFO - Epoch(val) [560][320/500] eta: 0:00:15 time: 0.0866 data_time: 0.0035 memory: 3207 2022/08/27 13:29:46 - mmengine - INFO - Epoch(val) [560][325/500] eta: 0:00:15 time: 0.0997 data_time: 0.0039 memory: 3207 2022/08/27 13:29:48 - mmengine - INFO - Epoch(val) [560][330/500] eta: 0:00:30 time: 0.1809 data_time: 0.0042 memory: 3207 2022/08/27 13:29:48 - mmengine - INFO - Epoch(val) [560][335/500] eta: 0:00:30 time: 0.1648 data_time: 0.0042 memory: 3207 2022/08/27 13:29:48 - mmengine - INFO - Epoch(val) [560][340/500] eta: 0:00:14 time: 0.0934 data_time: 0.0031 memory: 3207 2022/08/27 13:29:49 - mmengine - INFO - Epoch(val) [560][345/500] eta: 0:00:14 time: 0.0949 data_time: 0.0032 memory: 3207 2022/08/27 13:29:49 - mmengine - INFO - Epoch(val) [560][350/500] eta: 0:00:13 time: 0.0901 data_time: 0.0031 memory: 3207 2022/08/27 13:29:50 - mmengine - INFO - Epoch(val) [560][355/500] eta: 0:00:13 time: 0.0887 data_time: 0.0029 memory: 3207 2022/08/27 13:29:51 - mmengine - INFO - Epoch(val) [560][360/500] eta: 0:00:19 time: 0.1386 data_time: 0.0081 memory: 3207 2022/08/27 13:29:51 - mmengine - INFO - Epoch(val) [560][365/500] eta: 0:00:19 time: 0.1419 data_time: 0.0110 memory: 3207 2022/08/27 13:29:52 - mmengine - INFO - Epoch(val) [560][370/500] eta: 0:00:12 time: 0.0949 data_time: 0.0145 memory: 3207 2022/08/27 13:29:52 - mmengine - INFO - Epoch(val) [560][375/500] eta: 0:00:12 time: 0.0971 data_time: 0.0146 memory: 3207 2022/08/27 13:29:53 - mmengine - INFO - Epoch(val) [560][380/500] eta: 0:00:10 time: 0.0910 data_time: 0.0057 memory: 3207 2022/08/27 13:29:53 - mmengine - INFO - Epoch(val) [560][385/500] eta: 0:00:10 time: 0.0862 data_time: 0.0028 memory: 3207 2022/08/27 13:29:54 - mmengine - INFO - Epoch(val) [560][390/500] eta: 0:00:11 time: 0.1027 data_time: 0.0029 memory: 3207 2022/08/27 13:29:54 - mmengine - INFO - Epoch(val) [560][395/500] eta: 0:00:11 time: 0.1172 data_time: 0.0029 memory: 3207 2022/08/27 13:29:55 - mmengine - INFO - Epoch(val) [560][400/500] eta: 0:00:10 time: 0.1055 data_time: 0.0078 memory: 3207 2022/08/27 13:29:55 - mmengine - INFO - Epoch(val) [560][405/500] eta: 0:00:10 time: 0.0908 data_time: 0.0076 memory: 3207 2022/08/27 13:29:56 - mmengine - INFO - Epoch(val) [560][410/500] eta: 0:00:07 time: 0.0853 data_time: 0.0025 memory: 3207 2022/08/27 13:29:57 - mmengine - INFO - Epoch(val) [560][415/500] eta: 0:00:07 time: 0.2250 data_time: 0.0080 memory: 3207 2022/08/27 13:29:59 - mmengine - INFO - Epoch(val) [560][420/500] eta: 0:00:30 time: 0.3834 data_time: 0.0174 memory: 3207 2022/08/27 13:30:00 - mmengine - INFO - Epoch(val) [560][425/500] eta: 0:00:30 time: 0.2465 data_time: 0.0139 memory: 3207 2022/08/27 13:30:00 - mmengine - INFO - Epoch(val) [560][430/500] eta: 0:00:06 time: 0.0874 data_time: 0.0052 memory: 3207 2022/08/27 13:30:01 - mmengine - INFO - Epoch(val) [560][435/500] eta: 0:00:06 time: 0.1136 data_time: 0.0061 memory: 3207 2022/08/27 13:30:01 - mmengine - INFO - Epoch(val) [560][440/500] eta: 0:00:06 time: 0.1128 data_time: 0.0055 memory: 3207 2022/08/27 13:30:02 - mmengine - INFO - Epoch(val) [560][445/500] eta: 0:00:06 time: 0.0946 data_time: 0.0077 memory: 3207 2022/08/27 13:30:02 - mmengine - INFO - Epoch(val) [560][450/500] eta: 0:00:04 time: 0.0991 data_time: 0.0081 memory: 3207 2022/08/27 13:30:03 - mmengine - INFO - Epoch(val) [560][455/500] eta: 0:00:04 time: 0.0930 data_time: 0.0031 memory: 3207 2022/08/27 13:30:03 - mmengine - INFO - Epoch(val) [560][460/500] eta: 0:00:03 time: 0.0973 data_time: 0.0029 memory: 3207 2022/08/27 13:30:04 - mmengine - INFO - Epoch(val) [560][465/500] eta: 0:00:03 time: 0.0967 data_time: 0.0075 memory: 3207 2022/08/27 13:30:04 - mmengine - INFO - Epoch(val) [560][470/500] eta: 0:00:02 time: 0.0870 data_time: 0.0072 memory: 3207 2022/08/27 13:30:05 - mmengine - INFO - Epoch(val) [560][475/500] eta: 0:00:02 time: 0.1380 data_time: 0.0167 memory: 3207 2022/08/27 13:30:06 - mmengine - INFO - Epoch(val) [560][480/500] eta: 0:00:02 time: 0.1401 data_time: 0.0182 memory: 3207 2022/08/27 13:30:06 - mmengine - INFO - Epoch(val) [560][485/500] eta: 0:00:02 time: 0.0849 data_time: 0.0055 memory: 3207 2022/08/27 13:30:06 - mmengine - INFO - Epoch(val) [560][490/500] eta: 0:00:00 time: 0.0847 data_time: 0.0040 memory: 3207 2022/08/27 13:30:07 - mmengine - INFO - Epoch(val) [560][495/500] eta: 0:00:00 time: 0.0893 data_time: 0.0026 memory: 3207 2022/08/27 13:30:07 - mmengine - INFO - Epoch(val) [560][500/500] eta: 0:00:00 time: 0.0862 data_time: 0.0027 memory: 3207 2022/08/27 13:30:07 - mmengine - INFO - Evaluating hmean-iou... 2022/08/27 13:30:08 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7857, precision: 0.6448, hmean: 0.7083 2022/08/27 13:30:08 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7857, precision: 0.6448, hmean: 0.7083 2022/08/27 13:30:08 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7857, precision: 0.6448, hmean: 0.7083 2022/08/27 13:30:08 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7857, precision: 0.6797, hmean: 0.7289 2022/08/27 13:30:08 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7857, precision: 0.7282, hmean: 0.7559 2022/08/27 13:30:08 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7829, precision: 0.7791, hmean: 0.7810 2022/08/27 13:30:08 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7641, precision: 0.8344, hmean: 0.7977 2022/08/27 13:30:08 - mmengine - INFO - Epoch(val) [560][500/500] icdar/precision: 0.8344 icdar/recall: 0.7641 icdar/hmean: 0.7977 2022/08/27 13:31:50 - mmengine - INFO - Epoch(train) [561][5/63] lr: 1.0000e-06 eta: 0:00:00 time: 10.6881 data_time: 9.0260 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0646 loss: 0.2016 2022/08/27 13:31:55 - mmengine - INFO - Epoch(train) [561][10/63] lr: 1.0000e-06 eta: 2:37:37 time: 10.7211 data_time: 9.0578 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0640 loss: 0.2008 2022/08/27 13:32:09 - mmengine - INFO - Epoch(train) [561][15/63] lr: 1.0000e-06 eta: 2:37:37 time: 1.8927 data_time: 0.1179 memory: 28971 loss_text: 0.0955 loss_kernel: 0.0463 loss: 0.1418 2022/08/27 13:32:13 - mmengine - INFO - Epoch(train) [561][20/63] lr: 1.0000e-06 eta: 2:36:58 time: 1.8554 data_time: 0.1149 memory: 28971 loss_text: 0.1224 loss_kernel: 0.0574 loss: 0.1798 2022/08/27 13:32:28 - mmengine - INFO - Epoch(train) [561][25/63] lr: 1.0000e-06 eta: 2:36:58 time: 1.9579 data_time: 0.1549 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0675 loss: 0.2133 2022/08/27 13:32:33 - mmengine - INFO - Epoch(train) [561][30/63] lr: 1.0000e-06 eta: 2:36:19 time: 1.9152 data_time: 0.1441 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0649 loss: 0.2037 2022/08/27 13:32:47 - mmengine - INFO - Epoch(train) [561][35/63] lr: 1.0000e-06 eta: 2:36:19 time: 1.8720 data_time: 0.0840 memory: 28971 loss_text: 0.1593 loss_kernel: 0.0728 loss: 0.2321 2022/08/27 13:32:52 - mmengine - INFO - Epoch(train) [561][40/63] lr: 1.0000e-06 eta: 2:35:40 time: 1.9097 data_time: 0.1132 memory: 28971 loss_text: 0.1514 loss_kernel: 0.0698 loss: 0.2212 2022/08/27 13:33:05 - mmengine - INFO - Epoch(train) [561][45/63] lr: 1.0000e-06 eta: 2:35:40 time: 1.8599 data_time: 0.0946 memory: 28971 loss_text: 0.1035 loss_kernel: 0.0501 loss: 0.1536 2022/08/27 13:33:11 - mmengine - INFO - Epoch(train) [561][50/63] lr: 1.0000e-06 eta: 2:35:01 time: 1.9693 data_time: 0.0968 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0564 loss: 0.1747 2022/08/27 13:33:16 - mmengine - INFO - Epoch(train) [561][55/63] lr: 1.0000e-06 eta: 2:35:01 time: 1.0494 data_time: 0.0735 memory: 28971 loss_text: 0.1419 loss_kernel: 0.0663 loss: 0.2082 2022/08/27 13:33:31 - mmengine - INFO - Epoch(train) [561][60/63] lr: 1.0000e-06 eta: 2:34:22 time: 1.9292 data_time: 0.1086 memory: 28971 loss_text: 0.1535 loss_kernel: 0.0714 loss: 0.2249 2022/08/27 13:33:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:35:19 - mmengine - INFO - Epoch(train) [562][5/63] lr: 1.0000e-06 eta: 2:34:22 time: 10.9769 data_time: 9.2602 memory: 28971 loss_text: 0.1411 loss_kernel: 0.0648 loss: 0.2058 2022/08/27 13:35:24 - mmengine - INFO - Epoch(train) [562][10/63] lr: 1.0000e-06 eta: 2:33:37 time: 10.8603 data_time: 9.2678 memory: 28971 loss_text: 0.1403 loss_kernel: 0.0637 loss: 0.2040 2022/08/27 13:35:39 - mmengine - INFO - Epoch(train) [562][15/63] lr: 1.0000e-06 eta: 2:33:37 time: 1.9406 data_time: 0.0782 memory: 28971 loss_text: 0.1511 loss_kernel: 0.0695 loss: 0.2206 2022/08/27 13:35:43 - mmengine - INFO - Epoch(train) [562][20/63] lr: 1.0000e-06 eta: 2:32:58 time: 1.9358 data_time: 0.1173 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0636 loss: 0.1980 2022/08/27 13:35:57 - mmengine - INFO - Epoch(train) [562][25/63] lr: 1.0000e-06 eta: 2:32:58 time: 1.8161 data_time: 0.0940 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0596 loss: 0.1881 2022/08/27 13:36:16 - mmengine - INFO - Epoch(train) [562][30/63] lr: 1.0000e-06 eta: 2:32:20 time: 3.3048 data_time: 0.3203 memory: 28971 loss_text: 0.1319 loss_kernel: 0.0623 loss: 0.1942 2022/08/27 13:36:27 - mmengine - INFO - Epoch(train) [562][35/63] lr: 1.0000e-06 eta: 2:32:20 time: 3.0239 data_time: 0.3614 memory: 28971 loss_text: 0.1046 loss_kernel: 0.0520 loss: 0.1566 2022/08/27 13:36:34 - mmengine - INFO - Epoch(train) [562][40/63] lr: 1.0000e-06 eta: 2:31:41 time: 1.7571 data_time: 0.1022 memory: 28971 loss_text: 0.1224 loss_kernel: 0.0571 loss: 0.1796 2022/08/27 13:36:51 - mmengine - INFO - Epoch(train) [562][45/63] lr: 1.0000e-06 eta: 2:31:41 time: 2.4016 data_time: 0.1158 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0634 loss: 0.1993 2022/08/27 13:36:56 - mmengine - INFO - Epoch(train) [562][50/63] lr: 1.0000e-06 eta: 2:31:03 time: 2.1739 data_time: 0.1298 memory: 28971 loss_text: 0.1311 loss_kernel: 0.0621 loss: 0.1932 2022/08/27 13:37:14 - mmengine - INFO - Epoch(train) [562][55/63] lr: 1.0000e-06 eta: 2:31:03 time: 2.2342 data_time: 0.1244 memory: 28971 loss_text: 0.1320 loss_kernel: 0.0616 loss: 0.1936 2022/08/27 13:37:31 - mmengine - INFO - Epoch(train) [562][60/63] lr: 1.0000e-06 eta: 2:30:25 time: 3.4876 data_time: 0.2744 memory: 28971 loss_text: 0.1268 loss_kernel: 0.0593 loss: 0.1861 2022/08/27 13:37:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:39:17 - mmengine - INFO - Epoch(train) [563][5/63] lr: 1.0000e-06 eta: 2:30:25 time: 12.0020 data_time: 9.0242 memory: 28971 loss_text: 0.1443 loss_kernel: 0.0666 loss: 0.2109 2022/08/27 13:39:23 - mmengine - INFO - Epoch(train) [563][10/63] lr: 1.0000e-06 eta: 2:29:40 time: 10.8022 data_time: 8.9401 memory: 28971 loss_text: 0.1467 loss_kernel: 0.0672 loss: 0.2139 2022/08/27 13:39:38 - mmengine - INFO - Epoch(train) [563][15/63] lr: 1.0000e-06 eta: 2:29:40 time: 2.0686 data_time: 0.0819 memory: 28971 loss_text: 0.1024 loss_kernel: 0.0494 loss: 0.1518 2022/08/27 13:39:43 - mmengine - INFO - Epoch(train) [563][20/63] lr: 1.0000e-06 eta: 2:29:01 time: 2.0301 data_time: 0.1026 memory: 28971 loss_text: 0.0903 loss_kernel: 0.0449 loss: 0.1351 2022/08/27 13:39:59 - mmengine - INFO - Epoch(train) [563][25/63] lr: 1.0000e-06 eta: 2:29:01 time: 2.0787 data_time: 0.1423 memory: 28971 loss_text: 0.1173 loss_kernel: 0.0557 loss: 0.1730 2022/08/27 13:40:07 - mmengine - INFO - Epoch(train) [563][30/63] lr: 1.0000e-06 eta: 2:28:22 time: 2.3615 data_time: 0.1267 memory: 28971 loss_text: 0.1384 loss_kernel: 0.0633 loss: 0.2017 2022/08/27 13:40:19 - mmengine - INFO - Epoch(train) [563][35/63] lr: 1.0000e-06 eta: 2:28:22 time: 2.0040 data_time: 0.1693 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0590 loss: 0.1871 2022/08/27 13:40:25 - mmengine - INFO - Epoch(train) [563][40/63] lr: 1.0000e-06 eta: 2:27:43 time: 1.8716 data_time: 0.1602 memory: 28971 loss_text: 0.1124 loss_kernel: 0.0543 loss: 0.1667 2022/08/27 13:40:36 - mmengine - INFO - Epoch(train) [563][45/63] lr: 1.0000e-06 eta: 2:27:43 time: 1.7795 data_time: 0.1287 memory: 28971 loss_text: 0.0927 loss_kernel: 0.0455 loss: 0.1382 2022/08/27 13:40:45 - mmengine - INFO - Epoch(train) [563][50/63] lr: 1.0000e-06 eta: 2:27:05 time: 2.0044 data_time: 0.1193 memory: 28971 loss_text: 0.0875 loss_kernel: 0.0429 loss: 0.1304 2022/08/27 13:40:58 - mmengine - INFO - Epoch(train) [563][55/63] lr: 1.0000e-06 eta: 2:27:05 time: 2.1495 data_time: 0.1236 memory: 28971 loss_text: 0.1297 loss_kernel: 0.0611 loss: 0.1908 2022/08/27 13:41:16 - mmengine - INFO - Epoch(train) [563][60/63] lr: 1.0000e-06 eta: 2:26:27 time: 3.0426 data_time: 0.2686 memory: 28971 loss_text: 0.1528 loss_kernel: 0.0709 loss: 0.2237 2022/08/27 13:41:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:43:03 - mmengine - INFO - Epoch(train) [564][5/63] lr: 1.0000e-06 eta: 2:26:27 time: 10.9019 data_time: 9.2197 memory: 28971 loss_text: 0.1071 loss_kernel: 0.0510 loss: 0.1582 2022/08/27 13:43:09 - mmengine - INFO - Epoch(train) [564][10/63] lr: 1.0000e-06 eta: 2:25:41 time: 10.8331 data_time: 9.1301 memory: 28971 loss_text: 0.1095 loss_kernel: 0.0503 loss: 0.1598 2022/08/27 13:43:23 - mmengine - INFO - Epoch(train) [564][15/63] lr: 1.0000e-06 eta: 2:25:41 time: 2.0234 data_time: 0.1026 memory: 28971 loss_text: 0.0989 loss_kernel: 0.0472 loss: 0.1461 2022/08/27 13:43:27 - mmengine - INFO - Epoch(train) [564][20/63] lr: 1.0000e-06 eta: 2:25:03 time: 1.8761 data_time: 0.0844 memory: 28971 loss_text: 0.1135 loss_kernel: 0.0536 loss: 0.1672 2022/08/27 13:43:41 - mmengine - INFO - Epoch(train) [564][25/63] lr: 1.0000e-06 eta: 2:25:03 time: 1.7876 data_time: 0.0918 memory: 28971 loss_text: 0.1174 loss_kernel: 0.0550 loss: 0.1724 2022/08/27 13:43:45 - mmengine - INFO - Epoch(train) [564][30/63] lr: 1.0000e-06 eta: 2:24:24 time: 1.7723 data_time: 0.0806 memory: 28971 loss_text: 0.0987 loss_kernel: 0.0486 loss: 0.1474 2022/08/27 13:43:59 - mmengine - INFO - Epoch(train) [564][35/63] lr: 1.0000e-06 eta: 2:24:24 time: 1.8670 data_time: 0.0773 memory: 28971 loss_text: 0.1046 loss_kernel: 0.0518 loss: 0.1564 2022/08/27 13:44:05 - mmengine - INFO - Epoch(train) [564][40/63] lr: 1.0000e-06 eta: 2:23:45 time: 2.0263 data_time: 0.0894 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0588 loss: 0.1803 2022/08/27 13:44:18 - mmengine - INFO - Epoch(train) [564][45/63] lr: 1.0000e-06 eta: 2:23:45 time: 1.8158 data_time: 0.1350 memory: 28971 loss_text: 0.1612 loss_kernel: 0.0757 loss: 0.2369 2022/08/27 13:44:32 - mmengine - INFO - Epoch(train) [564][50/63] lr: 1.0000e-06 eta: 2:23:06 time: 2.6327 data_time: 0.1633 memory: 28971 loss_text: 0.1729 loss_kernel: 0.0809 loss: 0.2538 2022/08/27 13:44:38 - mmengine - INFO - Epoch(train) [564][55/63] lr: 1.0000e-06 eta: 2:23:06 time: 2.0777 data_time: 0.1432 memory: 28971 loss_text: 0.1455 loss_kernel: 0.0678 loss: 0.2133 2022/08/27 13:44:56 - mmengine - INFO - Epoch(train) [564][60/63] lr: 1.0000e-06 eta: 2:22:28 time: 2.3779 data_time: 0.1679 memory: 28971 loss_text: 0.1328 loss_kernel: 0.0619 loss: 0.1947 2022/08/27 13:44:59 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:46:46 - mmengine - INFO - Epoch(train) [565][5/63] lr: 1.0000e-06 eta: 2:22:28 time: 12.1933 data_time: 9.3542 memory: 28971 loss_text: 0.1126 loss_kernel: 0.0529 loss: 0.1655 2022/08/27 13:46:52 - mmengine - INFO - Epoch(train) [565][10/63] lr: 1.0000e-06 eta: 2:21:43 time: 11.2280 data_time: 9.3399 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0637 loss: 0.2011 2022/08/27 13:47:10 - mmengine - INFO - Epoch(train) [565][15/63] lr: 1.0000e-06 eta: 2:21:43 time: 2.3389 data_time: 0.0766 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0606 loss: 0.1871 2022/08/27 13:47:15 - mmengine - INFO - Epoch(train) [565][20/63] lr: 1.0000e-06 eta: 2:21:04 time: 2.2745 data_time: 0.1078 memory: 28971 loss_text: 0.1193 loss_kernel: 0.0570 loss: 0.1763 2022/08/27 13:47:32 - mmengine - INFO - Epoch(train) [565][25/63] lr: 1.0000e-06 eta: 2:21:04 time: 2.2390 data_time: 0.2031 memory: 28971 loss_text: 0.1538 loss_kernel: 0.0701 loss: 0.2239 2022/08/27 13:47:37 - mmengine - INFO - Epoch(train) [565][30/63] lr: 1.0000e-06 eta: 2:20:26 time: 2.1635 data_time: 0.1684 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0675 loss: 0.2145 2022/08/27 13:47:56 - mmengine - INFO - Epoch(train) [565][35/63] lr: 1.0000e-06 eta: 2:20:26 time: 2.4143 data_time: 0.1284 memory: 28971 loss_text: 0.1113 loss_kernel: 0.0528 loss: 0.1641 2022/08/27 13:48:10 - mmengine - INFO - Epoch(train) [565][40/63] lr: 1.0000e-06 eta: 2:19:48 time: 3.2830 data_time: 0.1471 memory: 28971 loss_text: 0.1233 loss_kernel: 0.0578 loss: 0.1812 2022/08/27 13:48:20 - mmengine - INFO - Epoch(train) [565][45/63] lr: 1.0000e-06 eta: 2:19:48 time: 2.3679 data_time: 0.2489 memory: 28971 loss_text: 0.1335 loss_kernel: 0.0621 loss: 0.1956 2022/08/27 13:48:36 - mmengine - INFO - Epoch(train) [565][50/63] lr: 1.0000e-06 eta: 2:19:09 time: 2.6163 data_time: 0.2269 memory: 28971 loss_text: 0.1079 loss_kernel: 0.0517 loss: 0.1596 2022/08/27 13:48:43 - mmengine - INFO - Epoch(train) [565][55/63] lr: 1.0000e-06 eta: 2:19:09 time: 2.3472 data_time: 0.1444 memory: 28971 loss_text: 0.0867 loss_kernel: 0.0432 loss: 0.1299 2022/08/27 13:48:48 - mmengine - INFO - Epoch(train) [565][60/63] lr: 1.0000e-06 eta: 2:18:30 time: 1.2876 data_time: 0.2007 memory: 28971 loss_text: 0.1107 loss_kernel: 0.0520 loss: 0.1627 2022/08/27 13:49:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:50:59 - mmengine - INFO - Epoch(train) [566][5/63] lr: 1.0000e-06 eta: 2:18:30 time: 13.1068 data_time: 9.3586 memory: 28971 loss_text: 0.1484 loss_kernel: 0.0687 loss: 0.2171 2022/08/27 13:51:17 - mmengine - INFO - Epoch(train) [566][10/63] lr: 1.0000e-06 eta: 2:17:46 time: 13.1686 data_time: 9.3836 memory: 28971 loss_text: 0.1185 loss_kernel: 0.0569 loss: 0.1754 2022/08/27 13:51:27 - mmengine - INFO - Epoch(train) [566][15/63] lr: 1.0000e-06 eta: 2:17:46 time: 2.8070 data_time: 0.2111 memory: 28971 loss_text: 0.1087 loss_kernel: 0.0524 loss: 0.1611 2022/08/27 13:51:32 - mmengine - INFO - Epoch(train) [566][20/63] lr: 1.0000e-06 eta: 2:17:07 time: 1.5496 data_time: 0.2536 memory: 28971 loss_text: 0.1424 loss_kernel: 0.0660 loss: 0.2084 2022/08/27 13:51:51 - mmengine - INFO - Epoch(train) [566][25/63] lr: 1.0000e-06 eta: 2:17:07 time: 2.4113 data_time: 0.1457 memory: 28971 loss_text: 0.1488 loss_kernel: 0.0690 loss: 0.2178 2022/08/27 13:51:55 - mmengine - INFO - Epoch(train) [566][30/63] lr: 1.0000e-06 eta: 2:16:29 time: 2.3423 data_time: 0.0991 memory: 28971 loss_text: 0.1238 loss_kernel: 0.0581 loss: 0.1818 2022/08/27 13:52:14 - mmengine - INFO - Epoch(train) [566][35/63] lr: 1.0000e-06 eta: 2:16:29 time: 2.3670 data_time: 0.1120 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0614 loss: 0.1946 2022/08/27 13:52:19 - mmengine - INFO - Epoch(train) [566][40/63] lr: 1.0000e-06 eta: 2:15:50 time: 2.3830 data_time: 0.1083 memory: 28971 loss_text: 0.1458 loss_kernel: 0.0675 loss: 0.2133 2022/08/27 13:52:39 - mmengine - INFO - Epoch(train) [566][45/63] lr: 1.0000e-06 eta: 2:15:50 time: 2.4219 data_time: 0.1015 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0610 loss: 0.1894 2022/08/27 13:52:44 - mmengine - INFO - Epoch(train) [566][50/63] lr: 1.0000e-06 eta: 2:15:12 time: 2.5207 data_time: 0.1871 memory: 28971 loss_text: 0.0905 loss_kernel: 0.0454 loss: 0.1359 2022/08/27 13:53:06 - mmengine - INFO - Epoch(train) [566][55/63] lr: 1.0000e-06 eta: 2:15:12 time: 2.6471 data_time: 0.1497 memory: 28971 loss_text: 0.0892 loss_kernel: 0.0436 loss: 0.1328 2022/08/27 13:53:25 - mmengine - INFO - Epoch(train) [566][60/63] lr: 1.0000e-06 eta: 2:14:35 time: 4.0623 data_time: 0.2788 memory: 28971 loss_text: 0.0864 loss_kernel: 0.0422 loss: 0.1286 2022/08/27 13:53:43 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:55:31 - mmengine - INFO - Epoch(train) [567][5/63] lr: 1.0000e-06 eta: 2:14:35 time: 13.0018 data_time: 9.5192 memory: 28971 loss_text: 0.1842 loss_kernel: 0.0837 loss: 0.2679 2022/08/27 13:55:37 - mmengine - INFO - Epoch(train) [567][10/63] lr: 1.0000e-06 eta: 2:13:49 time: 11.3113 data_time: 9.4994 memory: 28971 loss_text: 0.1641 loss_kernel: 0.0760 loss: 0.2401 2022/08/27 13:55:54 - mmengine - INFO - Epoch(train) [567][15/63] lr: 1.0000e-06 eta: 2:13:49 time: 2.1911 data_time: 0.1370 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0699 loss: 0.2199 2022/08/27 13:55:59 - mmengine - INFO - Epoch(train) [567][20/63] lr: 1.0000e-06 eta: 2:13:11 time: 2.2103 data_time: 0.2006 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0595 loss: 0.1862 2022/08/27 13:56:16 - mmengine - INFO - Epoch(train) [567][25/63] lr: 1.0000e-06 eta: 2:13:11 time: 2.2329 data_time: 0.1935 memory: 28971 loss_text: 0.1267 loss_kernel: 0.0598 loss: 0.1865 2022/08/27 13:56:33 - mmengine - INFO - Epoch(train) [567][30/63] lr: 1.0000e-06 eta: 2:12:33 time: 3.3581 data_time: 0.1530 memory: 28971 loss_text: 0.1326 loss_kernel: 0.0621 loss: 0.1947 2022/08/27 13:56:38 - mmengine - INFO - Epoch(train) [567][35/63] lr: 1.0000e-06 eta: 2:12:33 time: 2.2084 data_time: 0.1668 memory: 28971 loss_text: 0.1123 loss_kernel: 0.0531 loss: 0.1654 2022/08/27 13:56:59 - mmengine - INFO - Epoch(train) [567][40/63] lr: 1.0000e-06 eta: 2:11:55 time: 2.6449 data_time: 0.1322 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0679 loss: 0.2150 2022/08/27 13:57:04 - mmengine - INFO - Epoch(train) [567][45/63] lr: 1.0000e-06 eta: 2:11:55 time: 2.6051 data_time: 0.0896 memory: 28971 loss_text: 0.1709 loss_kernel: 0.0780 loss: 0.2489 2022/08/27 13:57:23 - mmengine - INFO - Epoch(train) [567][50/63] lr: 1.0000e-06 eta: 2:11:16 time: 2.3548 data_time: 0.0543 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0752 loss: 0.2378 2022/08/27 13:57:30 - mmengine - INFO - Epoch(train) [567][55/63] lr: 1.0000e-06 eta: 2:11:16 time: 2.6314 data_time: 0.1136 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0617 loss: 0.1934 2022/08/27 13:57:46 - mmengine - INFO - Epoch(train) [567][60/63] lr: 1.0000e-06 eta: 2:10:38 time: 2.2163 data_time: 0.1639 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0571 loss: 0.1779 2022/08/27 13:57:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 13:59:39 - mmengine - INFO - Epoch(train) [568][5/63] lr: 1.0000e-06 eta: 2:10:38 time: 12.5165 data_time: 9.5335 memory: 28971 loss_text: 0.1335 loss_kernel: 0.0624 loss: 0.1958 2022/08/27 13:59:45 - mmengine - INFO - Epoch(train) [568][10/63] lr: 1.0000e-06 eta: 2:09:52 time: 11.2175 data_time: 9.4238 memory: 28971 loss_text: 0.1570 loss_kernel: 0.0720 loss: 0.2291 2022/08/27 13:59:59 - mmengine - INFO - Epoch(train) [568][15/63] lr: 1.0000e-06 eta: 2:09:52 time: 1.9736 data_time: 0.0921 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0638 loss: 0.2026 2022/08/27 14:00:04 - mmengine - INFO - Epoch(train) [568][20/63] lr: 1.0000e-06 eta: 2:09:14 time: 1.8396 data_time: 0.0678 memory: 28971 loss_text: 0.1176 loss_kernel: 0.0559 loss: 0.1735 2022/08/27 14:00:22 - mmengine - INFO - Epoch(train) [568][25/63] lr: 1.0000e-06 eta: 2:09:14 time: 2.2565 data_time: 0.0643 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0643 loss: 0.2023 2022/08/27 14:00:27 - mmengine - INFO - Epoch(train) [568][30/63] lr: 1.0000e-06 eta: 2:08:35 time: 2.2882 data_time: 0.0925 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0693 loss: 0.2203 2022/08/27 14:00:42 - mmengine - INFO - Epoch(train) [568][35/63] lr: 1.0000e-06 eta: 2:08:35 time: 2.0005 data_time: 0.1747 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0630 loss: 0.1981 2022/08/27 14:00:48 - mmengine - INFO - Epoch(train) [568][40/63] lr: 1.0000e-06 eta: 2:07:56 time: 2.1695 data_time: 0.2031 memory: 28971 loss_text: 0.1131 loss_kernel: 0.0539 loss: 0.1670 2022/08/27 14:01:02 - mmengine - INFO - Epoch(train) [568][45/63] lr: 1.0000e-06 eta: 2:07:56 time: 2.0779 data_time: 0.1349 memory: 28971 loss_text: 0.1143 loss_kernel: 0.0553 loss: 0.1696 2022/08/27 14:01:23 - mmengine - INFO - Epoch(train) [568][50/63] lr: 1.0000e-06 eta: 2:07:19 time: 3.5143 data_time: 0.2635 memory: 28971 loss_text: 0.1230 loss_kernel: 0.0590 loss: 0.1820 2022/08/27 14:01:41 - mmengine - INFO - Epoch(train) [568][55/63] lr: 1.0000e-06 eta: 2:07:19 time: 3.8830 data_time: 0.2580 memory: 28971 loss_text: 0.1083 loss_kernel: 0.0517 loss: 0.1600 2022/08/27 14:02:03 - mmengine - INFO - Epoch(train) [568][60/63] lr: 1.0000e-06 eta: 2:06:41 time: 3.8887 data_time: 0.1377 memory: 28971 loss_text: 0.1090 loss_kernel: 0.0522 loss: 0.1611 2022/08/27 14:02:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:03:55 - mmengine - INFO - Epoch(train) [569][5/63] lr: 1.0000e-06 eta: 2:06:41 time: 11.4270 data_time: 9.4928 memory: 28971 loss_text: 0.1333 loss_kernel: 0.0625 loss: 0.1959 2022/08/27 14:04:11 - mmengine - INFO - Epoch(train) [569][10/63] lr: 1.0000e-06 eta: 2:05:56 time: 12.3711 data_time: 9.4552 memory: 28971 loss_text: 0.1352 loss_kernel: 0.0630 loss: 0.1982 2022/08/27 14:04:19 - mmengine - INFO - Epoch(train) [569][15/63] lr: 1.0000e-06 eta: 2:05:56 time: 2.4432 data_time: 0.0827 memory: 28971 loss_text: 0.1355 loss_kernel: 0.0631 loss: 0.1987 2022/08/27 14:04:24 - mmengine - INFO - Epoch(train) [569][20/63] lr: 1.0000e-06 eta: 2:05:17 time: 1.3048 data_time: 0.0591 memory: 28971 loss_text: 0.1089 loss_kernel: 0.0529 loss: 0.1618 2022/08/27 14:04:39 - mmengine - INFO - Epoch(train) [569][25/63] lr: 1.0000e-06 eta: 2:05:17 time: 1.9981 data_time: 0.1236 memory: 28971 loss_text: 0.0902 loss_kernel: 0.0448 loss: 0.1349 2022/08/27 14:04:56 - mmengine - INFO - Epoch(train) [569][30/63] lr: 1.0000e-06 eta: 2:04:39 time: 3.2358 data_time: 0.1703 memory: 28971 loss_text: 0.1157 loss_kernel: 0.0548 loss: 0.1705 2022/08/27 14:05:07 - mmengine - INFO - Epoch(train) [569][35/63] lr: 1.0000e-06 eta: 2:04:39 time: 2.7594 data_time: 0.1814 memory: 28971 loss_text: 0.1359 loss_kernel: 0.0630 loss: 0.1989 2022/08/27 14:05:21 - mmengine - INFO - Epoch(train) [569][40/63] lr: 1.0000e-06 eta: 2:04:01 time: 2.4330 data_time: 0.4336 memory: 28971 loss_text: 0.1039 loss_kernel: 0.0489 loss: 0.1528 2022/08/27 14:05:36 - mmengine - INFO - Epoch(train) [569][45/63] lr: 1.0000e-06 eta: 2:04:01 time: 2.9338 data_time: 0.3971 memory: 28971 loss_text: 0.1009 loss_kernel: 0.0481 loss: 0.1491 2022/08/27 14:05:41 - mmengine - INFO - Epoch(train) [569][50/63] lr: 1.0000e-06 eta: 2:03:22 time: 2.0579 data_time: 0.1431 memory: 28971 loss_text: 0.1031 loss_kernel: 0.0496 loss: 0.1528 2022/08/27 14:05:58 - mmengine - INFO - Epoch(train) [569][55/63] lr: 1.0000e-06 eta: 2:03:22 time: 2.2296 data_time: 0.0908 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0561 loss: 0.1750 2022/08/27 14:06:03 - mmengine - INFO - Epoch(train) [569][60/63] lr: 1.0000e-06 eta: 2:02:44 time: 2.2343 data_time: 0.1151 memory: 28971 loss_text: 0.1366 loss_kernel: 0.0630 loss: 0.1997 2022/08/27 14:06:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:08:05 - mmengine - INFO - Epoch(train) [570][5/63] lr: 1.0000e-06 eta: 2:02:44 time: 12.2315 data_time: 9.2325 memory: 28971 loss_text: 0.1114 loss_kernel: 0.0507 loss: 0.1621 2022/08/27 14:08:10 - mmengine - INFO - Epoch(train) [570][10/63] lr: 1.0000e-06 eta: 2:01:58 time: 11.0330 data_time: 9.2681 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0581 loss: 0.1842 2022/08/27 14:08:26 - mmengine - INFO - Epoch(train) [570][15/63] lr: 1.0000e-06 eta: 2:01:58 time: 2.1485 data_time: 0.1254 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0616 loss: 0.1945 2022/08/27 14:08:31 - mmengine - INFO - Epoch(train) [570][20/63] lr: 1.0000e-06 eta: 2:01:20 time: 2.0435 data_time: 0.1426 memory: 28971 loss_text: 0.1101 loss_kernel: 0.0514 loss: 0.1616 2022/08/27 14:08:44 - mmengine - INFO - Epoch(train) [570][25/63] lr: 1.0000e-06 eta: 2:01:20 time: 1.8122 data_time: 0.0972 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0627 loss: 0.1965 2022/08/27 14:08:49 - mmengine - INFO - Epoch(train) [570][30/63] lr: 1.0000e-06 eta: 2:00:41 time: 1.7978 data_time: 0.0600 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0722 loss: 0.2275 2022/08/27 14:09:03 - mmengine - INFO - Epoch(train) [570][35/63] lr: 1.0000e-06 eta: 2:00:41 time: 1.8935 data_time: 0.1128 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0683 loss: 0.2153 2022/08/27 14:09:08 - mmengine - INFO - Epoch(train) [570][40/63] lr: 1.0000e-06 eta: 2:00:02 time: 1.8813 data_time: 0.1266 memory: 28971 loss_text: 0.1213 loss_kernel: 0.0576 loss: 0.1789 2022/08/27 14:09:25 - mmengine - INFO - Epoch(train) [570][45/63] lr: 1.0000e-06 eta: 2:00:02 time: 2.2060 data_time: 0.0768 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0614 loss: 0.1929 2022/08/27 14:09:30 - mmengine - INFO - Epoch(train) [570][50/63] lr: 1.0000e-06 eta: 1:59:24 time: 2.2732 data_time: 0.1265 memory: 28971 loss_text: 0.1517 loss_kernel: 0.0708 loss: 0.2225 2022/08/27 14:09:42 - mmengine - INFO - Epoch(train) [570][55/63] lr: 1.0000e-06 eta: 1:59:24 time: 1.6066 data_time: 0.0985 memory: 28971 loss_text: 0.1387 loss_kernel: 0.0648 loss: 0.2035 2022/08/27 14:10:02 - mmengine - INFO - Epoch(train) [570][60/63] lr: 1.0000e-06 eta: 1:58:46 time: 3.1129 data_time: 0.1998 memory: 28971 loss_text: 0.1239 loss_kernel: 0.0585 loss: 0.1824 2022/08/27 14:10:05 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:11:54 - mmengine - INFO - Epoch(train) [571][5/63] lr: 1.0000e-06 eta: 1:58:46 time: 12.4123 data_time: 9.4737 memory: 28971 loss_text: 0.1099 loss_kernel: 0.0526 loss: 0.1625 2022/08/27 14:11:59 - mmengine - INFO - Epoch(train) [571][10/63] lr: 1.0000e-06 eta: 1:58:00 time: 11.2986 data_time: 9.4211 memory: 28971 loss_text: 0.1166 loss_kernel: 0.0555 loss: 0.1721 2022/08/27 14:12:14 - mmengine - INFO - Epoch(train) [571][15/63] lr: 1.0000e-06 eta: 1:58:00 time: 2.0023 data_time: 0.0964 memory: 28971 loss_text: 0.1292 loss_kernel: 0.0613 loss: 0.1905 2022/08/27 14:12:29 - mmengine - INFO - Epoch(train) [571][20/63] lr: 1.0000e-06 eta: 1:57:22 time: 2.9662 data_time: 0.1197 memory: 28971 loss_text: 0.1334 loss_kernel: 0.0624 loss: 0.1958 2022/08/27 14:12:35 - mmengine - INFO - Epoch(train) [571][25/63] lr: 1.0000e-06 eta: 1:57:22 time: 2.1491 data_time: 0.2351 memory: 28971 loss_text: 0.1589 loss_kernel: 0.0725 loss: 0.2314 2022/08/27 14:12:52 - mmengine - INFO - Epoch(train) [571][30/63] lr: 1.0000e-06 eta: 1:56:44 time: 2.2928 data_time: 0.2129 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0716 loss: 0.2273 2022/08/27 14:13:03 - mmengine - INFO - Epoch(train) [571][35/63] lr: 1.0000e-06 eta: 1:56:44 time: 2.7618 data_time: 0.1282 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0613 loss: 0.1923 2022/08/27 14:13:17 - mmengine - INFO - Epoch(train) [571][40/63] lr: 1.0000e-06 eta: 1:56:05 time: 2.5602 data_time: 0.4236 memory: 28971 loss_text: 0.1235 loss_kernel: 0.0583 loss: 0.1817 2022/08/27 14:13:34 - mmengine - INFO - Epoch(train) [571][45/63] lr: 1.0000e-06 eta: 1:56:05 time: 3.1342 data_time: 0.4572 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0580 loss: 0.1788 2022/08/27 14:13:45 - mmengine - INFO - Epoch(train) [571][50/63] lr: 1.0000e-06 eta: 1:55:27 time: 2.7470 data_time: 0.1843 memory: 28971 loss_text: 0.1116 loss_kernel: 0.0540 loss: 0.1655 2022/08/27 14:13:58 - mmengine - INFO - Epoch(train) [571][55/63] lr: 1.0000e-06 eta: 1:55:27 time: 2.3939 data_time: 0.1568 memory: 28971 loss_text: 0.0965 loss_kernel: 0.0476 loss: 0.1441 2022/08/27 14:14:18 - mmengine - INFO - Epoch(train) [571][60/63] lr: 1.0000e-06 eta: 1:54:49 time: 3.2844 data_time: 0.2699 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0652 loss: 0.2022 2022/08/27 14:14:35 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:16:09 - mmengine - INFO - Epoch(train) [572][5/63] lr: 1.0000e-06 eta: 1:54:49 time: 11.3088 data_time: 8.6972 memory: 28971 loss_text: 0.1494 loss_kernel: 0.0696 loss: 0.2190 2022/08/27 14:16:13 - mmengine - INFO - Epoch(train) [572][10/63] lr: 1.0000e-06 eta: 1:54:03 time: 9.7745 data_time: 8.6098 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0675 loss: 0.2131 2022/08/27 14:16:22 - mmengine - INFO - Epoch(train) [572][15/63] lr: 1.0000e-06 eta: 1:54:03 time: 1.3378 data_time: 0.0372 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0605 loss: 0.1892 2022/08/27 14:16:27 - mmengine - INFO - Epoch(train) [572][20/63] lr: 1.0000e-06 eta: 1:53:24 time: 1.3632 data_time: 0.0563 memory: 28971 loss_text: 0.1315 loss_kernel: 0.0622 loss: 0.1937 2022/08/27 14:16:32 - mmengine - INFO - Epoch(train) [572][25/63] lr: 1.0000e-06 eta: 1:53:24 time: 0.9743 data_time: 0.0460 memory: 28971 loss_text: 0.1251 loss_kernel: 0.0590 loss: 0.1841 2022/08/27 14:16:36 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:16:39 - mmengine - INFO - Epoch(train) [572][30/63] lr: 1.0000e-06 eta: 1:52:45 time: 1.1918 data_time: 0.0288 memory: 28971 loss_text: 0.1391 loss_kernel: 0.0639 loss: 0.2031 2022/08/27 14:16:44 - mmengine - INFO - Epoch(train) [572][35/63] lr: 1.0000e-06 eta: 1:52:45 time: 1.2138 data_time: 0.0387 memory: 28971 loss_text: 0.1591 loss_kernel: 0.0732 loss: 0.2323 2022/08/27 14:16:50 - mmengine - INFO - Epoch(train) [572][40/63] lr: 1.0000e-06 eta: 1:52:06 time: 1.0652 data_time: 0.0273 memory: 28971 loss_text: 0.1545 loss_kernel: 0.0719 loss: 0.2264 2022/08/27 14:16:55 - mmengine - INFO - Epoch(train) [572][45/63] lr: 1.0000e-06 eta: 1:52:06 time: 1.0801 data_time: 0.0415 memory: 28971 loss_text: 0.1549 loss_kernel: 0.0716 loss: 0.2265 2022/08/27 14:17:00 - mmengine - INFO - Epoch(train) [572][50/63] lr: 1.0000e-06 eta: 1:51:27 time: 0.9898 data_time: 0.0534 memory: 28971 loss_text: 0.1310 loss_kernel: 0.0604 loss: 0.1914 2022/08/27 14:17:06 - mmengine - INFO - Epoch(train) [572][55/63] lr: 1.0000e-06 eta: 1:51:27 time: 1.1188 data_time: 0.0360 memory: 28971 loss_text: 0.1112 loss_kernel: 0.0516 loss: 0.1628 2022/08/27 14:17:11 - mmengine - INFO - Epoch(train) [572][60/63] lr: 1.0000e-06 eta: 1:50:48 time: 1.1757 data_time: 0.0476 memory: 28971 loss_text: 0.1141 loss_kernel: 0.0535 loss: 0.1675 2022/08/27 14:17:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:18:56 - mmengine - INFO - Epoch(train) [573][5/63] lr: 1.0000e-06 eta: 1:50:48 time: 10.7045 data_time: 8.9289 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0610 loss: 0.1905 2022/08/27 14:19:05 - mmengine - INFO - Epoch(train) [573][10/63] lr: 1.0000e-06 eta: 1:50:02 time: 11.0868 data_time: 8.9639 memory: 28971 loss_text: 0.1497 loss_kernel: 0.0696 loss: 0.2193 2022/08/27 14:19:16 - mmengine - INFO - Epoch(train) [573][15/63] lr: 1.0000e-06 eta: 1:50:02 time: 1.9512 data_time: 0.0647 memory: 28971 loss_text: 0.0966 loss_kernel: 0.0468 loss: 0.1435 2022/08/27 14:19:21 - mmengine - INFO - Epoch(train) [573][20/63] lr: 1.0000e-06 eta: 1:49:24 time: 1.5944 data_time: 0.0847 memory: 28971 loss_text: 0.0962 loss_kernel: 0.0462 loss: 0.1424 2022/08/27 14:19:38 - mmengine - INFO - Epoch(train) [573][25/63] lr: 1.0000e-06 eta: 1:49:24 time: 2.1747 data_time: 0.1813 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0593 loss: 0.1894 2022/08/27 14:19:42 - mmengine - INFO - Epoch(train) [573][30/63] lr: 1.0000e-06 eta: 1:48:45 time: 2.0528 data_time: 0.1322 memory: 28971 loss_text: 0.1095 loss_kernel: 0.0511 loss: 0.1606 2022/08/27 14:19:58 - mmengine - INFO - Epoch(train) [573][35/63] lr: 1.0000e-06 eta: 1:48:45 time: 2.0255 data_time: 0.0488 memory: 28971 loss_text: 0.1105 loss_kernel: 0.0525 loss: 0.1631 2022/08/27 14:20:03 - mmengine - INFO - Epoch(train) [573][40/63] lr: 1.0000e-06 eta: 1:48:07 time: 2.0749 data_time: 0.0926 memory: 28971 loss_text: 0.1202 loss_kernel: 0.0570 loss: 0.1772 2022/08/27 14:20:19 - mmengine - INFO - Epoch(train) [573][45/63] lr: 1.0000e-06 eta: 1:48:07 time: 2.0571 data_time: 0.1065 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0606 loss: 0.1868 2022/08/27 14:20:24 - mmengine - INFO - Epoch(train) [573][50/63] lr: 1.0000e-06 eta: 1:47:28 time: 2.1034 data_time: 0.1045 memory: 28971 loss_text: 0.1478 loss_kernel: 0.0690 loss: 0.2167 2022/08/27 14:20:42 - mmengine - INFO - Epoch(train) [573][55/63] lr: 1.0000e-06 eta: 1:47:28 time: 2.3406 data_time: 0.0885 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0640 loss: 0.2030 2022/08/27 14:21:08 - mmengine - INFO - Epoch(train) [573][60/63] lr: 1.0000e-06 eta: 1:46:51 time: 4.3920 data_time: 0.1459 memory: 28971 loss_text: 0.1323 loss_kernel: 0.0618 loss: 0.1941 2022/08/27 14:21:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:23:02 - mmengine - INFO - Epoch(train) [574][5/63] lr: 1.0000e-06 eta: 1:46:51 time: 12.7154 data_time: 9.3790 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0613 loss: 0.1917 2022/08/27 14:23:08 - mmengine - INFO - Epoch(train) [574][10/63] lr: 1.0000e-06 eta: 1:46:05 time: 11.0161 data_time: 9.3877 memory: 28971 loss_text: 0.1091 loss_kernel: 0.0520 loss: 0.1611 2022/08/27 14:23:24 - mmengine - INFO - Epoch(train) [574][15/63] lr: 1.0000e-06 eta: 1:46:05 time: 2.2104 data_time: 0.1012 memory: 28971 loss_text: 0.1087 loss_kernel: 0.0536 loss: 0.1623 2022/08/27 14:23:29 - mmengine - INFO - Epoch(train) [574][20/63] lr: 1.0000e-06 eta: 1:45:27 time: 2.1343 data_time: 0.1329 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0587 loss: 0.1793 2022/08/27 14:23:44 - mmengine - INFO - Epoch(train) [574][25/63] lr: 1.0000e-06 eta: 1:45:27 time: 2.0022 data_time: 0.1627 memory: 28971 loss_text: 0.1284 loss_kernel: 0.0608 loss: 0.1892 2022/08/27 14:23:49 - mmengine - INFO - Epoch(train) [574][30/63] lr: 1.0000e-06 eta: 1:44:48 time: 1.9839 data_time: 0.1418 memory: 28971 loss_text: 0.1590 loss_kernel: 0.0736 loss: 0.2326 2022/08/27 14:24:08 - mmengine - INFO - Epoch(train) [574][35/63] lr: 1.0000e-06 eta: 1:44:48 time: 2.3857 data_time: 0.1752 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0682 loss: 0.2153 2022/08/27 14:24:12 - mmengine - INFO - Epoch(train) [574][40/63] lr: 1.0000e-06 eta: 1:44:10 time: 2.3642 data_time: 0.1536 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0672 loss: 0.2128 2022/08/27 14:24:28 - mmengine - INFO - Epoch(train) [574][45/63] lr: 1.0000e-06 eta: 1:44:10 time: 1.9663 data_time: 0.0816 memory: 28971 loss_text: 0.1557 loss_kernel: 0.0708 loss: 0.2265 2022/08/27 14:24:33 - mmengine - INFO - Epoch(train) [574][50/63] lr: 1.0000e-06 eta: 1:43:31 time: 2.0238 data_time: 0.1313 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0593 loss: 0.1863 2022/08/27 14:24:52 - mmengine - INFO - Epoch(train) [574][55/63] lr: 1.0000e-06 eta: 1:43:31 time: 2.4095 data_time: 0.1490 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0531 loss: 0.1648 2022/08/27 14:25:01 - mmengine - INFO - Epoch(train) [574][60/63] lr: 1.0000e-06 eta: 1:42:53 time: 2.8352 data_time: 0.1707 memory: 28971 loss_text: 0.1109 loss_kernel: 0.0528 loss: 0.1637 2022/08/27 14:25:21 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:27:10 - mmengine - INFO - Epoch(train) [575][5/63] lr: 1.0000e-06 eta: 1:42:53 time: 13.4009 data_time: 9.8134 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0696 loss: 0.2198 2022/08/27 14:27:16 - mmengine - INFO - Epoch(train) [575][10/63] lr: 1.0000e-06 eta: 1:42:07 time: 11.4448 data_time: 9.8089 memory: 28971 loss_text: 0.1242 loss_kernel: 0.0588 loss: 0.1830 2022/08/27 14:27:30 - mmengine - INFO - Epoch(train) [575][15/63] lr: 1.0000e-06 eta: 1:42:07 time: 1.9252 data_time: 0.0869 memory: 28971 loss_text: 0.1002 loss_kernel: 0.0486 loss: 0.1489 2022/08/27 14:27:34 - mmengine - INFO - Epoch(train) [575][20/63] lr: 1.0000e-06 eta: 1:41:29 time: 1.8218 data_time: 0.0778 memory: 28971 loss_text: 0.0981 loss_kernel: 0.0474 loss: 0.1455 2022/08/27 14:27:51 - mmengine - INFO - Epoch(train) [575][25/63] lr: 1.0000e-06 eta: 1:41:29 time: 2.1071 data_time: 0.0865 memory: 28971 loss_text: 0.1162 loss_kernel: 0.0552 loss: 0.1714 2022/08/27 14:27:55 - mmengine - INFO - Epoch(train) [575][30/63] lr: 1.0000e-06 eta: 1:40:50 time: 2.1271 data_time: 0.0929 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0580 loss: 0.1807 2022/08/27 14:28:11 - mmengine - INFO - Epoch(train) [575][35/63] lr: 1.0000e-06 eta: 1:40:50 time: 1.9833 data_time: 0.1198 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0540 loss: 0.1699 2022/08/27 14:28:15 - mmengine - INFO - Epoch(train) [575][40/63] lr: 1.0000e-06 eta: 1:40:12 time: 1.9843 data_time: 0.1248 memory: 28971 loss_text: 0.1227 loss_kernel: 0.0576 loss: 0.1802 2022/08/27 14:28:33 - mmengine - INFO - Epoch(train) [575][45/63] lr: 1.0000e-06 eta: 1:40:12 time: 2.2487 data_time: 0.0972 memory: 28971 loss_text: 0.1102 loss_kernel: 0.0541 loss: 0.1643 2022/08/27 14:28:38 - mmengine - INFO - Epoch(train) [575][50/63] lr: 1.0000e-06 eta: 1:39:34 time: 2.2984 data_time: 0.1284 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0582 loss: 0.1796 2022/08/27 14:28:54 - mmengine - INFO - Epoch(train) [575][55/63] lr: 1.0000e-06 eta: 1:39:34 time: 2.0439 data_time: 0.0991 memory: 28971 loss_text: 0.1228 loss_kernel: 0.0578 loss: 0.1805 2022/08/27 14:29:16 - mmengine - INFO - Epoch(train) [575][60/63] lr: 1.0000e-06 eta: 1:38:56 time: 3.7768 data_time: 0.1654 memory: 28971 loss_text: 0.1250 loss_kernel: 0.0589 loss: 0.1838 2022/08/27 14:29:25 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:31:09 - mmengine - INFO - Epoch(train) [576][5/63] lr: 1.0000e-06 eta: 1:38:56 time: 12.4518 data_time: 9.3772 memory: 28971 loss_text: 0.1480 loss_kernel: 0.0688 loss: 0.2169 2022/08/27 14:31:14 - mmengine - INFO - Epoch(train) [576][10/63] lr: 1.0000e-06 eta: 1:38:10 time: 10.9018 data_time: 9.2679 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0574 loss: 0.1800 2022/08/27 14:31:31 - mmengine - INFO - Epoch(train) [576][15/63] lr: 1.0000e-06 eta: 1:38:10 time: 2.1841 data_time: 0.0933 memory: 28971 loss_text: 0.1131 loss_kernel: 0.0539 loss: 0.1670 2022/08/27 14:31:36 - mmengine - INFO - Epoch(train) [576][20/63] lr: 1.0000e-06 eta: 1:37:32 time: 2.1806 data_time: 0.0995 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0581 loss: 0.1793 2022/08/27 14:31:50 - mmengine - INFO - Epoch(train) [576][25/63] lr: 1.0000e-06 eta: 1:37:32 time: 1.9733 data_time: 0.1022 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0635 loss: 0.2009 2022/08/27 14:31:55 - mmengine - INFO - Epoch(train) [576][30/63] lr: 1.0000e-06 eta: 1:36:53 time: 1.9426 data_time: 0.1100 memory: 28971 loss_text: 0.1388 loss_kernel: 0.0642 loss: 0.2030 2022/08/27 14:32:14 - mmengine - INFO - Epoch(train) [576][35/63] lr: 1.0000e-06 eta: 1:36:53 time: 2.4074 data_time: 0.1479 memory: 28971 loss_text: 0.1123 loss_kernel: 0.0535 loss: 0.1658 2022/08/27 14:32:19 - mmengine - INFO - Epoch(train) [576][40/63] lr: 1.0000e-06 eta: 1:36:15 time: 2.4130 data_time: 0.1478 memory: 28971 loss_text: 0.0994 loss_kernel: 0.0480 loss: 0.1474 2022/08/27 14:32:35 - mmengine - INFO - Epoch(train) [576][45/63] lr: 1.0000e-06 eta: 1:36:15 time: 2.0124 data_time: 0.0954 memory: 28971 loss_text: 0.1206 loss_kernel: 0.0568 loss: 0.1774 2022/08/27 14:32:50 - mmengine - INFO - Epoch(train) [576][50/63] lr: 1.0000e-06 eta: 1:35:37 time: 2.9367 data_time: 0.3189 memory: 28971 loss_text: 0.1459 loss_kernel: 0.0678 loss: 0.2137 2022/08/27 14:32:58 - mmengine - INFO - Epoch(train) [576][55/63] lr: 1.0000e-06 eta: 1:35:37 time: 2.4109 data_time: 0.4816 memory: 28971 loss_text: 0.1401 loss_kernel: 0.0660 loss: 0.2061 2022/08/27 14:33:03 - mmengine - INFO - Epoch(train) [576][60/63] lr: 1.0000e-06 eta: 1:34:58 time: 1.4241 data_time: 0.2284 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0660 loss: 0.2066 2022/08/27 14:33:20 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:34:59 - mmengine - INFO - Epoch(train) [577][5/63] lr: 1.0000e-06 eta: 1:34:58 time: 11.7215 data_time: 8.9338 memory: 28971 loss_text: 0.1791 loss_kernel: 0.0807 loss: 0.2598 2022/08/27 14:35:04 - mmengine - INFO - Epoch(train) [577][10/63] lr: 1.0000e-06 eta: 1:34:12 time: 10.3545 data_time: 8.8878 memory: 28971 loss_text: 0.1618 loss_kernel: 0.0746 loss: 0.2364 2022/08/27 14:35:16 - mmengine - INFO - Epoch(train) [577][15/63] lr: 1.0000e-06 eta: 1:34:12 time: 1.7218 data_time: 0.1570 memory: 28971 loss_text: 0.1395 loss_kernel: 0.0645 loss: 0.2040 2022/08/27 14:35:21 - mmengine - INFO - Epoch(train) [577][20/63] lr: 1.0000e-06 eta: 1:33:33 time: 1.7506 data_time: 0.1669 memory: 28971 loss_text: 0.1248 loss_kernel: 0.0583 loss: 0.1831 2022/08/27 14:35:37 - mmengine - INFO - Epoch(train) [577][25/63] lr: 1.0000e-06 eta: 1:33:33 time: 2.0675 data_time: 0.0835 memory: 28971 loss_text: 0.0990 loss_kernel: 0.0479 loss: 0.1469 2022/08/27 14:35:43 - mmengine - INFO - Epoch(train) [577][30/63] lr: 1.0000e-06 eta: 1:32:55 time: 2.2364 data_time: 0.0851 memory: 28971 loss_text: 0.1037 loss_kernel: 0.0502 loss: 0.1540 2022/08/27 14:35:58 - mmengine - INFO - Epoch(train) [577][35/63] lr: 1.0000e-06 eta: 1:32:55 time: 2.1101 data_time: 0.1344 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0584 loss: 0.1829 2022/08/27 14:36:03 - mmengine - INFO - Epoch(train) [577][40/63] lr: 1.0000e-06 eta: 1:32:17 time: 1.9161 data_time: 0.1235 memory: 28971 loss_text: 0.1097 loss_kernel: 0.0521 loss: 0.1618 2022/08/27 14:36:18 - mmengine - INFO - Epoch(train) [577][45/63] lr: 1.0000e-06 eta: 1:32:17 time: 1.9756 data_time: 0.0411 memory: 28971 loss_text: 0.1059 loss_kernel: 0.0513 loss: 0.1572 2022/08/27 14:36:26 - mmengine - INFO - Epoch(train) [577][50/63] lr: 1.0000e-06 eta: 1:31:38 time: 2.3033 data_time: 0.0561 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0575 loss: 0.1794 2022/08/27 14:36:31 - mmengine - INFO - Epoch(train) [577][55/63] lr: 1.0000e-06 eta: 1:31:38 time: 1.3128 data_time: 0.0713 memory: 28971 loss_text: 0.1053 loss_kernel: 0.0503 loss: 0.1556 2022/08/27 14:36:49 - mmengine - INFO - Epoch(train) [577][60/63] lr: 1.0000e-06 eta: 1:31:00 time: 2.3257 data_time: 0.0721 memory: 28971 loss_text: 0.1022 loss_kernel: 0.0496 loss: 0.1519 2022/08/27 14:36:53 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:38:35 - mmengine - INFO - Epoch(train) [578][5/63] lr: 1.0000e-06 eta: 1:31:00 time: 10.7945 data_time: 9.0986 memory: 28971 loss_text: 0.1596 loss_kernel: 0.0731 loss: 0.2327 2022/08/27 14:38:40 - mmengine - INFO - Epoch(train) [578][10/63] lr: 1.0000e-06 eta: 1:30:14 time: 10.7136 data_time: 9.0954 memory: 28971 loss_text: 0.1660 loss_kernel: 0.0753 loss: 0.2412 2022/08/27 14:38:56 - mmengine - INFO - Epoch(train) [578][15/63] lr: 1.0000e-06 eta: 1:30:14 time: 2.0899 data_time: 0.0941 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0635 loss: 0.1995 2022/08/27 14:39:01 - mmengine - INFO - Epoch(train) [578][20/63] lr: 1.0000e-06 eta: 1:29:35 time: 2.0303 data_time: 0.1050 memory: 28971 loss_text: 0.1263 loss_kernel: 0.0599 loss: 0.1862 2022/08/27 14:39:16 - mmengine - INFO - Epoch(train) [578][25/63] lr: 1.0000e-06 eta: 1:29:35 time: 2.0115 data_time: 0.1140 memory: 28971 loss_text: 0.1113 loss_kernel: 0.0527 loss: 0.1640 2022/08/27 14:39:20 - mmengine - INFO - Epoch(train) [578][30/63] lr: 1.0000e-06 eta: 1:28:57 time: 1.9829 data_time: 0.0780 memory: 28971 loss_text: 0.0998 loss_kernel: 0.0468 loss: 0.1466 2022/08/27 14:39:39 - mmengine - INFO - Epoch(train) [578][35/63] lr: 1.0000e-06 eta: 1:28:57 time: 2.2813 data_time: 0.0707 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0594 loss: 0.1882 2022/08/27 14:39:43 - mmengine - INFO - Epoch(train) [578][40/63] lr: 1.0000e-06 eta: 1:28:19 time: 2.2913 data_time: 0.0816 memory: 28971 loss_text: 0.1435 loss_kernel: 0.0665 loss: 0.2099 2022/08/27 14:39:58 - mmengine - INFO - Epoch(train) [578][45/63] lr: 1.0000e-06 eta: 1:28:19 time: 1.9449 data_time: 0.0861 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0572 loss: 0.1779 2022/08/27 14:40:03 - mmengine - INFO - Epoch(train) [578][50/63] lr: 1.0000e-06 eta: 1:27:41 time: 2.0058 data_time: 0.1211 memory: 28971 loss_text: 0.1255 loss_kernel: 0.0589 loss: 0.1844 2022/08/27 14:40:20 - mmengine - INFO - Epoch(train) [578][55/63] lr: 1.0000e-06 eta: 1:27:41 time: 2.1274 data_time: 0.1970 memory: 28971 loss_text: 0.1304 loss_kernel: 0.0611 loss: 0.1915 2022/08/27 14:40:38 - mmengine - INFO - Epoch(train) [578][60/63] lr: 1.0000e-06 eta: 1:27:03 time: 3.4443 data_time: 0.2383 memory: 28971 loss_text: 0.0961 loss_kernel: 0.0469 loss: 0.1430 2022/08/27 14:40:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:42:27 - mmengine - INFO - Epoch(train) [579][5/63] lr: 1.0000e-06 eta: 1:27:03 time: 11.1296 data_time: 9.1205 memory: 28971 loss_text: 0.1452 loss_kernel: 0.0672 loss: 0.2124 2022/08/27 14:42:32 - mmengine - INFO - Epoch(train) [579][10/63] lr: 1.0000e-06 eta: 1:26:16 time: 11.0611 data_time: 9.0275 memory: 28971 loss_text: 0.1380 loss_kernel: 0.0640 loss: 0.2020 2022/08/27 14:42:46 - mmengine - INFO - Epoch(train) [579][15/63] lr: 1.0000e-06 eta: 1:26:16 time: 1.8972 data_time: 0.1002 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0617 loss: 0.1946 2022/08/27 14:42:51 - mmengine - INFO - Epoch(train) [579][20/63] lr: 1.0000e-06 eta: 1:25:38 time: 1.8533 data_time: 0.1083 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0589 loss: 0.1842 2022/08/27 14:43:04 - mmengine - INFO - Epoch(train) [579][25/63] lr: 1.0000e-06 eta: 1:25:38 time: 1.8426 data_time: 0.0815 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0643 loss: 0.2023 2022/08/27 14:43:09 - mmengine - INFO - Epoch(train) [579][30/63] lr: 1.0000e-06 eta: 1:25:00 time: 1.8039 data_time: 0.0484 memory: 28971 loss_text: 0.1481 loss_kernel: 0.0686 loss: 0.2167 2022/08/27 14:43:17 - mmengine - INFO - Epoch(train) [579][35/63] lr: 1.0000e-06 eta: 1:25:00 time: 1.1851 data_time: 0.0526 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0632 loss: 0.1963 2022/08/27 14:43:27 - mmengine - INFO - Epoch(train) [579][40/63] lr: 1.0000e-06 eta: 1:24:21 time: 1.8114 data_time: 0.1402 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0646 loss: 0.1989 2022/08/27 14:43:33 - mmengine - INFO - Epoch(train) [579][45/63] lr: 1.0000e-06 eta: 1:24:21 time: 1.6531 data_time: 0.1700 memory: 28971 loss_text: 0.1331 loss_kernel: 0.0639 loss: 0.1970 2022/08/27 14:43:49 - mmengine - INFO - Epoch(train) [579][50/63] lr: 1.0000e-06 eta: 1:23:43 time: 2.2184 data_time: 0.1350 memory: 28971 loss_text: 0.1327 loss_kernel: 0.0630 loss: 0.1957 2022/08/27 14:43:56 - mmengine - INFO - Epoch(train) [579][55/63] lr: 1.0000e-06 eta: 1:23:43 time: 2.3055 data_time: 0.1245 memory: 28971 loss_text: 0.1150 loss_kernel: 0.0553 loss: 0.1703 2022/08/27 14:44:10 - mmengine - INFO - Epoch(train) [579][60/63] lr: 1.0000e-06 eta: 1:23:05 time: 2.0604 data_time: 0.1629 memory: 28971 loss_text: 0.1201 loss_kernel: 0.0571 loss: 0.1771 2022/08/27 14:44:13 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:45:58 - mmengine - INFO - Epoch(train) [580][5/63] lr: 1.0000e-06 eta: 1:23:05 time: 10.9937 data_time: 9.0750 memory: 28971 loss_text: 0.1438 loss_kernel: 0.0673 loss: 0.2111 2022/08/27 14:46:04 - mmengine - INFO - Epoch(train) [580][10/63] lr: 1.0000e-06 eta: 1:22:18 time: 11.0637 data_time: 9.1198 memory: 28971 loss_text: 0.1279 loss_kernel: 0.0603 loss: 0.1882 2022/08/27 14:46:20 - mmengine - INFO - Epoch(train) [580][15/63] lr: 1.0000e-06 eta: 1:22:18 time: 2.1657 data_time: 0.0930 memory: 28971 loss_text: 0.1189 loss_kernel: 0.0566 loss: 0.1755 2022/08/27 14:46:34 - mmengine - INFO - Epoch(train) [580][20/63] lr: 1.0000e-06 eta: 1:21:40 time: 2.9934 data_time: 0.1058 memory: 28971 loss_text: 0.1207 loss_kernel: 0.0571 loss: 0.1778 2022/08/27 14:46:42 - mmengine - INFO - Epoch(train) [580][25/63] lr: 1.0000e-06 eta: 1:21:40 time: 2.2830 data_time: 0.2446 memory: 28971 loss_text: 0.1258 loss_kernel: 0.0578 loss: 0.1836 2022/08/27 14:47:00 - mmengine - INFO - Epoch(train) [580][30/63] lr: 1.0000e-06 eta: 1:21:02 time: 2.5582 data_time: 0.2503 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0678 loss: 0.2181 2022/08/27 14:47:04 - mmengine - INFO - Epoch(train) [580][35/63] lr: 1.0000e-06 eta: 1:21:02 time: 2.2066 data_time: 0.1341 memory: 28971 loss_text: 0.1273 loss_kernel: 0.0592 loss: 0.1865 2022/08/27 14:47:21 - mmengine - INFO - Epoch(train) [580][40/63] lr: 1.0000e-06 eta: 1:20:24 time: 2.1449 data_time: 0.0741 memory: 28971 loss_text: 0.1107 loss_kernel: 0.0521 loss: 0.1627 2022/08/27 14:47:26 - mmengine - INFO - Epoch(train) [580][45/63] lr: 1.0000e-06 eta: 1:20:24 time: 2.1407 data_time: 0.0687 memory: 28971 loss_text: 0.1154 loss_kernel: 0.0541 loss: 0.1695 2022/08/27 14:47:40 - mmengine - INFO - Epoch(train) [580][50/63] lr: 1.0000e-06 eta: 1:19:46 time: 1.8651 data_time: 0.0480 memory: 28971 loss_text: 0.1066 loss_kernel: 0.0510 loss: 0.1576 2022/08/27 14:47:45 - mmengine - INFO - Epoch(train) [580][55/63] lr: 1.0000e-06 eta: 1:19:46 time: 1.9123 data_time: 0.0917 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0591 loss: 0.1841 2022/08/27 14:47:58 - mmengine - INFO - Epoch(train) [580][60/63] lr: 1.0000e-06 eta: 1:19:08 time: 1.7796 data_time: 0.0930 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0664 loss: 0.2101 2022/08/27 14:48:03 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:48:04 - mmengine - INFO - Saving checkpoint at 580 epochs 2022/08/27 14:50:00 - mmengine - INFO - Epoch(train) [581][5/63] lr: 1.0000e-06 eta: 1:19:08 time: 12.3900 data_time: 9.5647 memory: 28971 loss_text: 0.1178 loss_kernel: 0.0557 loss: 0.1735 2022/08/27 14:50:05 - mmengine - INFO - Epoch(train) [581][10/63] lr: 1.0000e-06 eta: 1:18:21 time: 11.3731 data_time: 9.4542 memory: 28971 loss_text: 0.1564 loss_kernel: 0.0723 loss: 0.2287 2022/08/27 14:50:19 - mmengine - INFO - Epoch(train) [581][15/63] lr: 1.0000e-06 eta: 1:18:21 time: 1.9286 data_time: 0.0937 memory: 28971 loss_text: 0.1375 loss_kernel: 0.0648 loss: 0.2023 2022/08/27 14:50:25 - mmengine - INFO - Epoch(train) [581][20/63] lr: 1.0000e-06 eta: 1:17:43 time: 1.9970 data_time: 0.1231 memory: 28971 loss_text: 0.1072 loss_kernel: 0.0518 loss: 0.1590 2022/08/27 14:50:42 - mmengine - INFO - Epoch(train) [581][25/63] lr: 1.0000e-06 eta: 1:17:43 time: 2.3029 data_time: 0.1576 memory: 28971 loss_text: 0.1289 loss_kernel: 0.0605 loss: 0.1894 2022/08/27 14:51:00 - mmengine - INFO - Epoch(train) [581][30/63] lr: 1.0000e-06 eta: 1:17:05 time: 3.4656 data_time: 0.1406 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0607 loss: 0.1893 2022/08/27 14:51:17 - mmengine - INFO - Epoch(train) [581][35/63] lr: 1.0000e-06 eta: 1:17:05 time: 3.5098 data_time: 0.1904 memory: 28971 loss_text: 0.1131 loss_kernel: 0.0528 loss: 0.1659 2022/08/27 14:51:35 - mmengine - INFO - Epoch(train) [581][40/63] lr: 1.0000e-06 eta: 1:16:27 time: 3.5682 data_time: 0.1720 memory: 28971 loss_text: 0.1454 loss_kernel: 0.0654 loss: 0.2108 2022/08/27 14:51:40 - mmengine - INFO - Epoch(train) [581][45/63] lr: 1.0000e-06 eta: 1:16:27 time: 2.2927 data_time: 0.1378 memory: 28971 loss_text: 0.1510 loss_kernel: 0.0685 loss: 0.2194 2022/08/27 14:51:59 - mmengine - INFO - Epoch(train) [581][50/63] lr: 1.0000e-06 eta: 1:15:49 time: 2.3630 data_time: 0.1557 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0595 loss: 0.1891 2022/08/27 14:52:18 - mmengine - INFO - Epoch(train) [581][55/63] lr: 1.0000e-06 eta: 1:15:49 time: 3.7197 data_time: 0.1718 memory: 28971 loss_text: 0.1249 loss_kernel: 0.0581 loss: 0.1830 2022/08/27 14:52:29 - mmengine - INFO - Epoch(train) [581][60/63] lr: 1.0000e-06 eta: 1:15:11 time: 3.0498 data_time: 0.2823 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0631 loss: 0.1996 2022/08/27 14:52:37 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:54:20 - mmengine - INFO - Epoch(train) [582][5/63] lr: 1.0000e-06 eta: 1:15:11 time: 11.1782 data_time: 9.1587 memory: 28971 loss_text: 0.1627 loss_kernel: 0.0751 loss: 0.2378 2022/08/27 14:54:25 - mmengine - INFO - Epoch(train) [582][10/63] lr: 1.0000e-06 eta: 1:14:25 time: 10.8675 data_time: 9.1868 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0608 loss: 0.1889 2022/08/27 14:54:39 - mmengine - INFO - Epoch(train) [582][15/63] lr: 1.0000e-06 eta: 1:14:25 time: 1.8923 data_time: 0.0704 memory: 28971 loss_text: 0.1168 loss_kernel: 0.0558 loss: 0.1727 2022/08/27 14:54:43 - mmengine - INFO - Epoch(train) [582][20/63] lr: 1.0000e-06 eta: 1:13:46 time: 1.7855 data_time: 0.0698 memory: 28971 loss_text: 0.1410 loss_kernel: 0.0662 loss: 0.2072 2022/08/27 14:54:56 - mmengine - INFO - Epoch(train) [582][25/63] lr: 1.0000e-06 eta: 1:13:46 time: 1.7599 data_time: 0.1045 memory: 28971 loss_text: 0.1576 loss_kernel: 0.0726 loss: 0.2302 2022/08/27 14:55:01 - mmengine - INFO - Epoch(train) [582][30/63] lr: 1.0000e-06 eta: 1:13:08 time: 1.7455 data_time: 0.0899 memory: 28971 loss_text: 0.1333 loss_kernel: 0.0622 loss: 0.1956 2022/08/27 14:55:17 - mmengine - INFO - Epoch(train) [582][35/63] lr: 1.0000e-06 eta: 1:13:08 time: 2.0787 data_time: 0.1150 memory: 28971 loss_text: 0.1184 loss_kernel: 0.0564 loss: 0.1747 2022/08/27 14:55:22 - mmengine - INFO - Epoch(train) [582][40/63] lr: 1.0000e-06 eta: 1:12:30 time: 2.1169 data_time: 0.1305 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0638 loss: 0.2019 2022/08/27 14:55:36 - mmengine - INFO - Epoch(train) [582][45/63] lr: 1.0000e-06 eta: 1:12:30 time: 1.9211 data_time: 0.1169 memory: 28971 loss_text: 0.1238 loss_kernel: 0.0575 loss: 0.1813 2022/08/27 14:55:41 - mmengine - INFO - Epoch(train) [582][50/63] lr: 1.0000e-06 eta: 1:11:52 time: 1.9346 data_time: 0.1332 memory: 28971 loss_text: 0.1000 loss_kernel: 0.0469 loss: 0.1469 2022/08/27 14:55:57 - mmengine - INFO - Epoch(train) [582][55/63] lr: 1.0000e-06 eta: 1:11:52 time: 1.9449 data_time: 0.0747 memory: 28971 loss_text: 0.1082 loss_kernel: 0.0503 loss: 0.1585 2022/08/27 14:56:02 - mmengine - INFO - Epoch(train) [582][60/63] lr: 1.0000e-06 eta: 1:11:14 time: 2.1098 data_time: 0.1734 memory: 28971 loss_text: 0.1091 loss_kernel: 0.0523 loss: 0.1614 2022/08/27 14:56:07 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 14:57:57 - mmengine - INFO - Epoch(train) [583][5/63] lr: 1.0000e-06 eta: 1:11:14 time: 11.6094 data_time: 9.7523 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0646 loss: 0.2016 2022/08/27 14:58:03 - mmengine - INFO - Epoch(train) [583][10/63] lr: 1.0000e-06 eta: 1:10:27 time: 11.5603 data_time: 9.8122 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0642 loss: 0.2016 2022/08/27 14:58:18 - mmengine - INFO - Epoch(train) [583][15/63] lr: 1.0000e-06 eta: 1:10:27 time: 2.0789 data_time: 0.1363 memory: 28971 loss_text: 0.1112 loss_kernel: 0.0531 loss: 0.1643 2022/08/27 14:58:22 - mmengine - INFO - Epoch(train) [583][20/63] lr: 1.0000e-06 eta: 1:09:49 time: 1.9272 data_time: 0.1165 memory: 28971 loss_text: 0.1281 loss_kernel: 0.0600 loss: 0.1880 2022/08/27 14:58:37 - mmengine - INFO - Epoch(train) [583][25/63] lr: 1.0000e-06 eta: 1:09:49 time: 1.9241 data_time: 0.1482 memory: 28971 loss_text: 0.1622 loss_kernel: 0.0746 loss: 0.2368 2022/08/27 14:58:41 - mmengine - INFO - Epoch(train) [583][30/63] lr: 1.0000e-06 eta: 1:09:10 time: 1.9199 data_time: 0.1377 memory: 28971 loss_text: 0.1696 loss_kernel: 0.0780 loss: 0.2476 2022/08/27 14:59:00 - mmengine - INFO - Epoch(train) [583][35/63] lr: 1.0000e-06 eta: 1:09:10 time: 2.3094 data_time: 0.1285 memory: 28971 loss_text: 0.1358 loss_kernel: 0.0632 loss: 0.1990 2022/08/27 14:59:05 - mmengine - INFO - Epoch(train) [583][40/63] lr: 1.0000e-06 eta: 1:08:32 time: 2.3250 data_time: 0.1358 memory: 28971 loss_text: 0.1583 loss_kernel: 0.0728 loss: 0.2311 2022/08/27 14:59:25 - mmengine - INFO - Epoch(train) [583][45/63] lr: 1.0000e-06 eta: 1:08:32 time: 2.4708 data_time: 0.1062 memory: 28971 loss_text: 0.1503 loss_kernel: 0.0700 loss: 0.2203 2022/08/27 14:59:31 - mmengine - INFO - Epoch(train) [583][50/63] lr: 1.0000e-06 eta: 1:07:54 time: 2.6137 data_time: 0.1903 memory: 28971 loss_text: 0.1054 loss_kernel: 0.0503 loss: 0.1557 2022/08/27 14:59:52 - mmengine - INFO - Epoch(train) [583][55/63] lr: 1.0000e-06 eta: 1:07:54 time: 2.6664 data_time: 0.2082 memory: 28971 loss_text: 0.1012 loss_kernel: 0.0482 loss: 0.1494 2022/08/27 15:00:09 - mmengine - INFO - Epoch(train) [583][60/63] lr: 1.0000e-06 eta: 1:07:17 time: 3.8189 data_time: 0.1523 memory: 28971 loss_text: 0.0987 loss_kernel: 0.0485 loss: 0.1472 2022/08/27 15:00:14 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:02:02 - mmengine - INFO - Epoch(train) [584][5/63] lr: 1.0000e-06 eta: 1:07:17 time: 12.6931 data_time: 9.6614 memory: 28971 loss_text: 0.1190 loss_kernel: 0.0560 loss: 0.1750 2022/08/27 15:02:06 - mmengine - INFO - Epoch(train) [584][10/63] lr: 1.0000e-06 eta: 1:06:30 time: 11.1434 data_time: 9.5903 memory: 28971 loss_text: 0.1394 loss_kernel: 0.0641 loss: 0.2035 2022/08/27 15:02:14 - mmengine - INFO - Epoch(train) [584][15/63] lr: 1.0000e-06 eta: 1:06:30 time: 1.1777 data_time: 0.0416 memory: 28971 loss_text: 0.1622 loss_kernel: 0.0740 loss: 0.2362 2022/08/27 15:02:18 - mmengine - INFO - Epoch(train) [584][20/63] lr: 1.0000e-06 eta: 1:05:52 time: 1.2215 data_time: 0.0596 memory: 28971 loss_text: 0.1635 loss_kernel: 0.0745 loss: 0.2380 2022/08/27 15:02:24 - mmengine - INFO - Epoch(train) [584][25/63] lr: 1.0000e-06 eta: 1:05:52 time: 1.0266 data_time: 0.0483 memory: 28971 loss_text: 0.1437 loss_kernel: 0.0666 loss: 0.2103 2022/08/27 15:02:30 - mmengine - INFO - Epoch(train) [584][30/63] lr: 1.0000e-06 eta: 1:05:13 time: 1.1329 data_time: 0.0450 memory: 28971 loss_text: 0.1161 loss_kernel: 0.0554 loss: 0.1715 2022/08/27 15:02:35 - mmengine - INFO - Epoch(train) [584][35/63] lr: 1.0000e-06 eta: 1:05:13 time: 1.0790 data_time: 0.0615 memory: 28971 loss_text: 0.0975 loss_kernel: 0.0481 loss: 0.1456 2022/08/27 15:02:40 - mmengine - INFO - Epoch(train) [584][40/63] lr: 1.0000e-06 eta: 1:04:35 time: 1.0568 data_time: 0.1316 memory: 28971 loss_text: 0.1072 loss_kernel: 0.0522 loss: 0.1594 2022/08/27 15:02:46 - mmengine - INFO - Epoch(train) [584][45/63] lr: 1.0000e-06 eta: 1:04:35 time: 1.1718 data_time: 0.1467 memory: 28971 loss_text: 0.1460 loss_kernel: 0.0685 loss: 0.2145 2022/08/27 15:02:55 - mmengine - INFO - Epoch(train) [584][50/63] lr: 1.0000e-06 eta: 1:03:57 time: 1.5116 data_time: 0.0849 memory: 28971 loss_text: 0.1379 loss_kernel: 0.0648 loss: 0.2028 2022/08/27 15:03:00 - mmengine - INFO - Epoch(train) [584][55/63] lr: 1.0000e-06 eta: 1:03:57 time: 1.3893 data_time: 0.0653 memory: 28971 loss_text: 0.1125 loss_kernel: 0.0521 loss: 0.1645 2022/08/27 15:03:14 - mmengine - INFO - Epoch(train) [584][60/63] lr: 1.0000e-06 eta: 1:03:19 time: 1.8463 data_time: 0.0908 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0590 loss: 0.1871 2022/08/27 15:03:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:04:51 - mmengine - INFO - Epoch(train) [585][5/63] lr: 1.0000e-06 eta: 1:03:19 time: 9.9237 data_time: 8.5402 memory: 28971 loss_text: 0.0984 loss_kernel: 0.0482 loss: 0.1466 2022/08/27 15:04:56 - mmengine - INFO - Epoch(train) [585][10/63] lr: 1.0000e-06 eta: 1:02:31 time: 9.8958 data_time: 8.5369 memory: 28971 loss_text: 0.1290 loss_kernel: 0.0607 loss: 0.1897 2022/08/27 15:05:07 - mmengine - INFO - Epoch(train) [585][15/63] lr: 1.0000e-06 eta: 1:02:31 time: 1.5685 data_time: 0.0560 memory: 28971 loss_text: 0.1050 loss_kernel: 0.0499 loss: 0.1549 2022/08/27 15:05:12 - mmengine - INFO - Epoch(train) [585][20/63] lr: 1.0000e-06 eta: 1:01:53 time: 1.5720 data_time: 0.0669 memory: 28971 loss_text: 0.0926 loss_kernel: 0.0442 loss: 0.1368 2022/08/27 15:05:17 - mmengine - INFO - Epoch(train) [585][25/63] lr: 1.0000e-06 eta: 1:01:53 time: 0.9837 data_time: 0.0617 memory: 28971 loss_text: 0.1214 loss_kernel: 0.0566 loss: 0.1780 2022/08/27 15:05:24 - mmengine - INFO - Epoch(train) [585][30/63] lr: 1.0000e-06 eta: 1:01:15 time: 1.2655 data_time: 0.0308 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0633 loss: 0.1996 2022/08/27 15:05:30 - mmengine - INFO - Epoch(train) [585][35/63] lr: 1.0000e-06 eta: 1:01:15 time: 1.3282 data_time: 0.0576 memory: 28971 loss_text: 0.1164 loss_kernel: 0.0548 loss: 0.1713 2022/08/27 15:05:34 - mmengine - INFO - Epoch(train) [585][40/63] lr: 1.0000e-06 eta: 1:00:36 time: 1.0075 data_time: 0.0574 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0642 loss: 0.2044 2022/08/27 15:05:47 - mmengine - INFO - Epoch(train) [585][45/63] lr: 1.0000e-06 eta: 1:00:36 time: 1.6726 data_time: 0.0560 memory: 28971 loss_text: 0.1502 loss_kernel: 0.0692 loss: 0.2194 2022/08/27 15:05:51 - mmengine - INFO - Epoch(train) [585][50/63] lr: 1.0000e-06 eta: 0:59:58 time: 1.6986 data_time: 0.0788 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0654 loss: 0.2044 2022/08/27 15:05:56 - mmengine - INFO - Epoch(train) [585][55/63] lr: 1.0000e-06 eta: 0:59:58 time: 0.9256 data_time: 0.0404 memory: 28971 loss_text: 0.1309 loss_kernel: 0.0620 loss: 0.1929 2022/08/27 15:06:09 - mmengine - INFO - Epoch(train) [585][60/63] lr: 1.0000e-06 eta: 0:59:20 time: 1.7133 data_time: 0.0906 memory: 28971 loss_text: 0.1073 loss_kernel: 0.0519 loss: 0.1593 2022/08/27 15:06:12 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:07:51 - mmengine - INFO - Epoch(train) [586][5/63] lr: 1.0000e-06 eta: 0:59:20 time: 10.4549 data_time: 8.8009 memory: 28971 loss_text: 0.1389 loss_kernel: 0.0644 loss: 0.2033 2022/08/27 15:07:56 - mmengine - INFO - Epoch(train) [586][10/63] lr: 1.0000e-06 eta: 0:58:33 time: 10.4369 data_time: 8.7893 memory: 28971 loss_text: 0.1312 loss_kernel: 0.0617 loss: 0.1929 2022/08/27 15:08:13 - mmengine - INFO - Epoch(train) [586][15/63] lr: 1.0000e-06 eta: 0:58:33 time: 2.1711 data_time: 0.0727 memory: 28971 loss_text: 0.1096 loss_kernel: 0.0524 loss: 0.1620 2022/08/27 15:08:18 - mmengine - INFO - Epoch(train) [586][20/63] lr: 1.0000e-06 eta: 0:57:55 time: 2.1533 data_time: 0.1280 memory: 28971 loss_text: 0.0950 loss_kernel: 0.0466 loss: 0.1416 2022/08/27 15:08:37 - mmengine - INFO - Epoch(train) [586][25/63] lr: 1.0000e-06 eta: 0:57:55 time: 2.3791 data_time: 0.1830 memory: 28971 loss_text: 0.1127 loss_kernel: 0.0546 loss: 0.1672 2022/08/27 15:08:57 - mmengine - INFO - Epoch(train) [586][30/63] lr: 1.0000e-06 eta: 0:57:17 time: 3.8869 data_time: 0.2126 memory: 28971 loss_text: 0.1232 loss_kernel: 0.0583 loss: 0.1816 2022/08/27 15:09:02 - mmengine - INFO - Epoch(train) [586][35/63] lr: 1.0000e-06 eta: 0:57:17 time: 2.5487 data_time: 0.2148 memory: 28971 loss_text: 0.1039 loss_kernel: 0.0489 loss: 0.1528 2022/08/27 15:09:22 - mmengine - INFO - Epoch(train) [586][40/63] lr: 1.0000e-06 eta: 0:56:39 time: 2.5247 data_time: 0.1014 memory: 28971 loss_text: 0.1285 loss_kernel: 0.0608 loss: 0.1893 2022/08/27 15:09:27 - mmengine - INFO - Epoch(train) [586][45/63] lr: 1.0000e-06 eta: 0:56:39 time: 2.5696 data_time: 0.1467 memory: 28971 loss_text: 0.1384 loss_kernel: 0.0656 loss: 0.2040 2022/08/27 15:09:50 - mmengine - INFO - Epoch(train) [586][50/63] lr: 1.0000e-06 eta: 0:56:01 time: 2.7653 data_time: 0.1762 memory: 28971 loss_text: 0.1159 loss_kernel: 0.0549 loss: 0.1707 2022/08/27 15:09:54 - mmengine - INFO - Epoch(train) [586][55/63] lr: 1.0000e-06 eta: 0:56:01 time: 2.6498 data_time: 0.0774 memory: 28971 loss_text: 0.1368 loss_kernel: 0.0640 loss: 0.2008 2022/08/27 15:10:13 - mmengine - INFO - Epoch(train) [586][60/63] lr: 1.0000e-06 eta: 0:55:24 time: 2.3168 data_time: 0.1558 memory: 28971 loss_text: 0.1594 loss_kernel: 0.0735 loss: 0.2329 2022/08/27 15:10:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:12:07 - mmengine - INFO - Epoch(train) [587][5/63] lr: 1.0000e-06 eta: 0:55:24 time: 11.5464 data_time: 9.4294 memory: 28971 loss_text: 0.1453 loss_kernel: 0.0671 loss: 0.2124 2022/08/27 15:12:12 - mmengine - INFO - Epoch(train) [587][10/63] lr: 1.0000e-06 eta: 0:54:36 time: 11.4599 data_time: 9.3979 memory: 28971 loss_text: 0.1438 loss_kernel: 0.0663 loss: 0.2102 2022/08/27 15:12:29 - mmengine - INFO - Epoch(train) [587][15/63] lr: 1.0000e-06 eta: 0:54:36 time: 2.1913 data_time: 0.0944 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0622 loss: 0.1958 2022/08/27 15:12:33 - mmengine - INFO - Epoch(train) [587][20/63] lr: 1.0000e-06 eta: 0:53:58 time: 2.1397 data_time: 0.0840 memory: 28971 loss_text: 0.1262 loss_kernel: 0.0588 loss: 0.1850 2022/08/27 15:12:53 - mmengine - INFO - Epoch(train) [587][25/63] lr: 1.0000e-06 eta: 0:53:58 time: 2.4832 data_time: 0.0680 memory: 28971 loss_text: 0.1178 loss_kernel: 0.0544 loss: 0.1722 2022/08/27 15:12:58 - mmengine - INFO - Epoch(train) [587][30/63] lr: 1.0000e-06 eta: 0:53:20 time: 2.5066 data_time: 0.0695 memory: 28971 loss_text: 0.1265 loss_kernel: 0.0580 loss: 0.1845 2022/08/27 15:13:20 - mmengine - INFO - Epoch(train) [587][35/63] lr: 1.0000e-06 eta: 0:53:20 time: 2.6721 data_time: 0.1292 memory: 28971 loss_text: 0.1324 loss_kernel: 0.0603 loss: 0.1927 2022/08/27 15:13:25 - mmengine - INFO - Epoch(train) [587][40/63] lr: 1.0000e-06 eta: 0:52:43 time: 2.6687 data_time: 0.1438 memory: 28971 loss_text: 0.1274 loss_kernel: 0.0592 loss: 0.1866 2022/08/27 15:13:43 - mmengine - INFO - Epoch(train) [587][45/63] lr: 1.0000e-06 eta: 0:52:43 time: 2.2361 data_time: 0.1023 memory: 28971 loss_text: 0.1243 loss_kernel: 0.0587 loss: 0.1830 2022/08/27 15:13:48 - mmengine - INFO - Epoch(train) [587][50/63] lr: 1.0000e-06 eta: 0:52:05 time: 2.3139 data_time: 0.1416 memory: 28971 loss_text: 0.1356 loss_kernel: 0.0635 loss: 0.1991 2022/08/27 15:14:09 - mmengine - INFO - Epoch(train) [587][55/63] lr: 1.0000e-06 eta: 0:52:05 time: 2.5944 data_time: 0.1197 memory: 28971 loss_text: 0.1298 loss_kernel: 0.0610 loss: 0.1908 2022/08/27 15:14:14 - mmengine - INFO - Epoch(train) [587][60/63] lr: 1.0000e-06 eta: 0:51:27 time: 2.6108 data_time: 0.1820 memory: 28971 loss_text: 0.1101 loss_kernel: 0.0525 loss: 0.1626 2022/08/27 15:14:19 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:16:08 - mmengine - INFO - Epoch(train) [588][5/63] lr: 1.0000e-06 eta: 0:51:27 time: 11.4191 data_time: 9.3411 memory: 28971 loss_text: 0.1014 loss_kernel: 0.0487 loss: 0.1501 2022/08/27 15:16:25 - mmengine - INFO - Epoch(train) [588][10/63] lr: 1.0000e-06 eta: 0:50:40 time: 12.5940 data_time: 9.5894 memory: 28971 loss_text: 0.1239 loss_kernel: 0.0586 loss: 0.1825 2022/08/27 15:16:31 - mmengine - INFO - Epoch(train) [588][15/63] lr: 1.0000e-06 eta: 0:50:40 time: 2.3819 data_time: 0.3082 memory: 28971 loss_text: 0.1124 loss_kernel: 0.0541 loss: 0.1665 2022/08/27 15:16:51 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:16:52 - mmengine - INFO - Epoch(train) [588][20/63] lr: 1.0000e-06 eta: 0:50:02 time: 2.6866 data_time: 0.1070 memory: 28971 loss_text: 0.1430 loss_kernel: 0.0663 loss: 0.2093 2022/08/27 15:16:57 - mmengine - INFO - Epoch(train) [588][25/63] lr: 1.0000e-06 eta: 0:50:02 time: 2.6228 data_time: 0.0986 memory: 28971 loss_text: 0.1599 loss_kernel: 0.0731 loss: 0.2330 2022/08/27 15:17:15 - mmengine - INFO - Epoch(train) [588][30/63] lr: 1.0000e-06 eta: 0:49:24 time: 2.2567 data_time: 0.0895 memory: 28971 loss_text: 0.1477 loss_kernel: 0.0681 loss: 0.2159 2022/08/27 15:17:33 - mmengine - INFO - Epoch(train) [588][35/63] lr: 1.0000e-06 eta: 0:49:24 time: 3.6239 data_time: 0.1122 memory: 28971 loss_text: 0.1340 loss_kernel: 0.0625 loss: 0.1964 2022/08/27 15:17:39 - mmengine - INFO - Epoch(train) [588][40/63] lr: 1.0000e-06 eta: 0:48:46 time: 2.4916 data_time: 0.1617 memory: 28971 loss_text: 0.1108 loss_kernel: 0.0533 loss: 0.1640 2022/08/27 15:17:54 - mmengine - INFO - Epoch(train) [588][45/63] lr: 1.0000e-06 eta: 0:48:46 time: 2.0454 data_time: 0.1241 memory: 28971 loss_text: 0.1234 loss_kernel: 0.0584 loss: 0.1817 2022/08/27 15:18:00 - mmengine - INFO - Epoch(train) [588][50/63] lr: 1.0000e-06 eta: 0:48:08 time: 2.0359 data_time: 0.1776 memory: 28971 loss_text: 0.1531 loss_kernel: 0.0706 loss: 0.2237 2022/08/27 15:18:16 - mmengine - INFO - Epoch(train) [588][55/63] lr: 1.0000e-06 eta: 0:48:08 time: 2.2761 data_time: 0.1636 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0630 loss: 0.1974 2022/08/27 15:18:22 - mmengine - INFO - Epoch(train) [588][60/63] lr: 1.0000e-06 eta: 0:47:30 time: 2.1735 data_time: 0.1382 memory: 28971 loss_text: 0.1392 loss_kernel: 0.0656 loss: 0.2047 2022/08/27 15:18:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:20:23 - mmengine - INFO - Epoch(train) [589][5/63] lr: 1.0000e-06 eta: 0:47:30 time: 12.2814 data_time: 9.0198 memory: 28971 loss_text: 0.1655 loss_kernel: 0.0759 loss: 0.2413 2022/08/27 15:20:29 - mmengine - INFO - Epoch(train) [589][10/63] lr: 1.0000e-06 eta: 0:46:43 time: 11.0344 data_time: 9.0577 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0575 loss: 0.1794 2022/08/27 15:20:45 - mmengine - INFO - Epoch(train) [589][15/63] lr: 1.0000e-06 eta: 0:46:43 time: 2.1226 data_time: 0.0654 memory: 28971 loss_text: 0.1221 loss_kernel: 0.0576 loss: 0.1797 2022/08/27 15:20:49 - mmengine - INFO - Epoch(train) [589][20/63] lr: 1.0000e-06 eta: 0:46:05 time: 2.0272 data_time: 0.0739 memory: 28971 loss_text: 0.1374 loss_kernel: 0.0646 loss: 0.2020 2022/08/27 15:21:06 - mmengine - INFO - Epoch(train) [589][25/63] lr: 1.0000e-06 eta: 0:46:05 time: 2.1530 data_time: 0.0930 memory: 28971 loss_text: 0.1110 loss_kernel: 0.0537 loss: 0.1647 2022/08/27 15:21:11 - mmengine - INFO - Epoch(train) [589][30/63] lr: 1.0000e-06 eta: 0:45:27 time: 2.1329 data_time: 0.0762 memory: 28971 loss_text: 0.1053 loss_kernel: 0.0509 loss: 0.1562 2022/08/27 15:21:27 - mmengine - INFO - Epoch(train) [589][35/63] lr: 1.0000e-06 eta: 0:45:27 time: 2.1192 data_time: 0.0791 memory: 28971 loss_text: 0.1282 loss_kernel: 0.0599 loss: 0.1881 2022/08/27 15:21:32 - mmengine - INFO - Epoch(train) [589][40/63] lr: 1.0000e-06 eta: 0:44:49 time: 2.1466 data_time: 0.0585 memory: 28971 loss_text: 0.1373 loss_kernel: 0.0643 loss: 0.2016 2022/08/27 15:21:46 - mmengine - INFO - Epoch(train) [589][45/63] lr: 1.0000e-06 eta: 0:44:49 time: 1.8744 data_time: 0.0564 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0667 loss: 0.2099 2022/08/27 15:21:51 - mmengine - INFO - Epoch(train) [589][50/63] lr: 1.0000e-06 eta: 0:44:11 time: 1.8849 data_time: 0.0943 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0632 loss: 0.2001 2022/08/27 15:22:06 - mmengine - INFO - Epoch(train) [589][55/63] lr: 1.0000e-06 eta: 0:44:11 time: 2.0137 data_time: 0.0890 memory: 28971 loss_text: 0.1165 loss_kernel: 0.0544 loss: 0.1708 2022/08/27 15:22:27 - mmengine - INFO - Epoch(train) [589][60/63] lr: 1.0000e-06 eta: 0:43:34 time: 3.5431 data_time: 0.1709 memory: 28971 loss_text: 0.0909 loss_kernel: 0.0451 loss: 0.1360 2022/08/27 15:22:30 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:24:14 - mmengine - INFO - Epoch(train) [590][5/63] lr: 1.0000e-06 eta: 0:43:34 time: 11.8485 data_time: 9.2522 memory: 28971 loss_text: 0.1553 loss_kernel: 0.0719 loss: 0.2272 2022/08/27 15:24:19 - mmengine - INFO - Epoch(train) [590][10/63] lr: 1.0000e-06 eta: 0:42:46 time: 10.9354 data_time: 9.2311 memory: 28971 loss_text: 0.1182 loss_kernel: 0.0556 loss: 0.1738 2022/08/27 15:24:33 - mmengine - INFO - Epoch(train) [590][15/63] lr: 1.0000e-06 eta: 0:42:46 time: 1.9430 data_time: 0.0905 memory: 28971 loss_text: 0.1300 loss_kernel: 0.0612 loss: 0.1912 2022/08/27 15:24:38 - mmengine - INFO - Epoch(train) [590][20/63] lr: 1.0000e-06 eta: 0:42:08 time: 1.8658 data_time: 0.0870 memory: 28971 loss_text: 0.1190 loss_kernel: 0.0564 loss: 0.1753 2022/08/27 15:24:53 - mmengine - INFO - Epoch(train) [590][25/63] lr: 1.0000e-06 eta: 0:42:08 time: 2.0382 data_time: 0.1009 memory: 28971 loss_text: 0.1192 loss_kernel: 0.0554 loss: 0.1746 2022/08/27 15:24:58 - mmengine - INFO - Epoch(train) [590][30/63] lr: 1.0000e-06 eta: 0:41:30 time: 2.0035 data_time: 0.0944 memory: 28971 loss_text: 0.1286 loss_kernel: 0.0599 loss: 0.1885 2022/08/27 15:25:13 - mmengine - INFO - Epoch(train) [590][35/63] lr: 1.0000e-06 eta: 0:41:30 time: 1.9871 data_time: 0.1167 memory: 28971 loss_text: 0.1125 loss_kernel: 0.0535 loss: 0.1660 2022/08/27 15:25:18 - mmengine - INFO - Epoch(train) [590][40/63] lr: 1.0000e-06 eta: 0:40:52 time: 2.0122 data_time: 0.1140 memory: 28971 loss_text: 0.1295 loss_kernel: 0.0610 loss: 0.1905 2022/08/27 15:25:31 - mmengine - INFO - Epoch(train) [590][45/63] lr: 1.0000e-06 eta: 0:40:52 time: 1.7680 data_time: 0.0606 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0649 loss: 0.2018 2022/08/27 15:25:36 - mmengine - INFO - Epoch(train) [590][50/63] lr: 1.0000e-06 eta: 0:40:14 time: 1.8263 data_time: 0.1550 memory: 28971 loss_text: 0.1413 loss_kernel: 0.0673 loss: 0.2086 2022/08/27 15:25:53 - mmengine - INFO - Epoch(train) [590][55/63] lr: 1.0000e-06 eta: 0:40:14 time: 2.1664 data_time: 0.1457 memory: 28971 loss_text: 0.1337 loss_kernel: 0.0633 loss: 0.1970 2022/08/27 15:25:58 - mmengine - INFO - Epoch(train) [590][60/63] lr: 1.0000e-06 eta: 0:39:37 time: 2.1883 data_time: 0.1695 memory: 28971 loss_text: 0.1397 loss_kernel: 0.0651 loss: 0.2048 2022/08/27 15:26:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:27:43 - mmengine - INFO - Epoch(train) [591][5/63] lr: 1.0000e-06 eta: 0:39:37 time: 10.5848 data_time: 8.9660 memory: 28971 loss_text: 0.1550 loss_kernel: 0.0723 loss: 0.2273 2022/08/27 15:27:48 - mmengine - INFO - Epoch(train) [591][10/63] lr: 1.0000e-06 eta: 0:38:49 time: 10.3252 data_time: 8.9919 memory: 28971 loss_text: 0.1126 loss_kernel: 0.0535 loss: 0.1661 2022/08/27 15:28:02 - mmengine - INFO - Epoch(train) [591][15/63] lr: 1.0000e-06 eta: 0:38:49 time: 1.8874 data_time: 0.1177 memory: 28971 loss_text: 0.1121 loss_kernel: 0.0534 loss: 0.1655 2022/08/27 15:28:07 - mmengine - INFO - Epoch(train) [591][20/63] lr: 1.0000e-06 eta: 0:38:11 time: 1.9004 data_time: 0.1290 memory: 28971 loss_text: 0.1338 loss_kernel: 0.0636 loss: 0.1974 2022/08/27 15:28:21 - mmengine - INFO - Epoch(train) [591][25/63] lr: 1.0000e-06 eta: 0:38:11 time: 1.8988 data_time: 0.1407 memory: 28971 loss_text: 0.1402 loss_kernel: 0.0661 loss: 0.2063 2022/08/27 15:28:25 - mmengine - INFO - Epoch(train) [591][30/63] lr: 1.0000e-06 eta: 0:37:33 time: 1.8956 data_time: 0.1179 memory: 28971 loss_text: 0.1560 loss_kernel: 0.0720 loss: 0.2280 2022/08/27 15:28:36 - mmengine - INFO - Epoch(train) [591][35/63] lr: 1.0000e-06 eta: 0:37:33 time: 1.4999 data_time: 0.0664 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0704 loss: 0.2212 2022/08/27 15:28:42 - mmengine - INFO - Epoch(train) [591][40/63] lr: 1.0000e-06 eta: 0:36:55 time: 1.6768 data_time: 0.1472 memory: 28971 loss_text: 0.1406 loss_kernel: 0.0661 loss: 0.2067 2022/08/27 15:28:57 - mmengine - INFO - Epoch(train) [591][45/63] lr: 1.0000e-06 eta: 0:36:55 time: 2.1579 data_time: 0.1462 memory: 28971 loss_text: 0.1378 loss_kernel: 0.0638 loss: 0.2016 2022/08/27 15:29:02 - mmengine - INFO - Epoch(train) [591][50/63] lr: 1.0000e-06 eta: 0:36:17 time: 2.0046 data_time: 0.1169 memory: 28971 loss_text: 0.1597 loss_kernel: 0.0730 loss: 0.2328 2022/08/27 15:29:18 - mmengine - INFO - Epoch(train) [591][55/63] lr: 1.0000e-06 eta: 0:36:17 time: 2.0452 data_time: 0.1549 memory: 28971 loss_text: 0.1574 loss_kernel: 0.0729 loss: 0.2304 2022/08/27 15:29:23 - mmengine - INFO - Epoch(train) [591][60/63] lr: 1.0000e-06 eta: 0:35:39 time: 2.0930 data_time: 0.1208 memory: 28971 loss_text: 0.1377 loss_kernel: 0.0643 loss: 0.2021 2022/08/27 15:29:41 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:31:28 - mmengine - INFO - Epoch(train) [592][5/63] lr: 1.0000e-06 eta: 0:35:39 time: 12.5743 data_time: 9.3703 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0678 loss: 0.2169 2022/08/27 15:31:34 - mmengine - INFO - Epoch(train) [592][10/63] lr: 1.0000e-06 eta: 0:34:52 time: 11.2357 data_time: 9.3794 memory: 28971 loss_text: 0.1377 loss_kernel: 0.0635 loss: 0.2012 2022/08/27 15:31:48 - mmengine - INFO - Epoch(train) [592][15/63] lr: 1.0000e-06 eta: 0:34:52 time: 1.9800 data_time: 0.0949 memory: 28971 loss_text: 0.1163 loss_kernel: 0.0555 loss: 0.1718 2022/08/27 15:31:53 - mmengine - INFO - Epoch(train) [592][20/63] lr: 1.0000e-06 eta: 0:34:14 time: 1.9004 data_time: 0.0981 memory: 28971 loss_text: 0.1344 loss_kernel: 0.0628 loss: 0.1972 2022/08/27 15:32:10 - mmengine - INFO - Epoch(train) [592][25/63] lr: 1.0000e-06 eta: 0:34:14 time: 2.2889 data_time: 0.1704 memory: 28971 loss_text: 0.1266 loss_kernel: 0.0596 loss: 0.1862 2022/08/27 15:32:15 - mmengine - INFO - Epoch(train) [592][30/63] lr: 1.0000e-06 eta: 0:33:36 time: 2.2349 data_time: 0.1358 memory: 28971 loss_text: 0.1037 loss_kernel: 0.0503 loss: 0.1540 2022/08/27 15:32:30 - mmengine - INFO - Epoch(train) [592][35/63] lr: 1.0000e-06 eta: 0:33:36 time: 1.9502 data_time: 0.1170 memory: 28971 loss_text: 0.1048 loss_kernel: 0.0508 loss: 0.1556 2022/08/27 15:32:35 - mmengine - INFO - Epoch(train) [592][40/63] lr: 1.0000e-06 eta: 0:32:58 time: 2.0503 data_time: 0.1262 memory: 28971 loss_text: 0.1081 loss_kernel: 0.0515 loss: 0.1596 2022/08/27 15:32:46 - mmengine - INFO - Epoch(train) [592][45/63] lr: 1.0000e-06 eta: 0:32:58 time: 1.5773 data_time: 0.0672 memory: 28971 loss_text: 0.1031 loss_kernel: 0.0492 loss: 0.1522 2022/08/27 15:32:52 - mmengine - INFO - Epoch(train) [592][50/63] lr: 1.0000e-06 eta: 0:32:20 time: 1.6207 data_time: 0.0950 memory: 28971 loss_text: 0.0949 loss_kernel: 0.0458 loss: 0.1407 2022/08/27 15:33:10 - mmengine - INFO - Epoch(train) [592][55/63] lr: 1.0000e-06 eta: 0:32:20 time: 2.4246 data_time: 0.0751 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0590 loss: 0.1860 2022/08/27 15:33:21 - mmengine - INFO - Epoch(train) [592][60/63] lr: 1.0000e-06 eta: 0:31:43 time: 2.9247 data_time: 0.1527 memory: 28971 loss_text: 0.1507 loss_kernel: 0.0694 loss: 0.2201 2022/08/27 15:33:34 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:35:18 - mmengine - INFO - Epoch(train) [593][5/63] lr: 1.0000e-06 eta: 0:31:43 time: 12.3730 data_time: 9.2493 memory: 28971 loss_text: 0.1365 loss_kernel: 0.0617 loss: 0.1982 2022/08/27 15:35:23 - mmengine - INFO - Epoch(train) [593][10/63] lr: 1.0000e-06 eta: 0:30:55 time: 10.9091 data_time: 9.2702 memory: 28971 loss_text: 0.1508 loss_kernel: 0.0695 loss: 0.2204 2022/08/27 15:35:38 - mmengine - INFO - Epoch(train) [593][15/63] lr: 1.0000e-06 eta: 0:30:55 time: 1.9618 data_time: 0.0832 memory: 28971 loss_text: 0.1317 loss_kernel: 0.0616 loss: 0.1933 2022/08/27 15:35:43 - mmengine - INFO - Epoch(train) [593][20/63] lr: 1.0000e-06 eta: 0:30:17 time: 1.9716 data_time: 0.1123 memory: 28971 loss_text: 0.1287 loss_kernel: 0.0599 loss: 0.1886 2022/08/27 15:35:57 - mmengine - INFO - Epoch(train) [593][25/63] lr: 1.0000e-06 eta: 0:30:17 time: 1.9475 data_time: 0.1078 memory: 28971 loss_text: 0.1471 loss_kernel: 0.0681 loss: 0.2152 2022/08/27 15:36:02 - mmengine - INFO - Epoch(train) [593][30/63] lr: 1.0000e-06 eta: 0:29:39 time: 1.8987 data_time: 0.1102 memory: 28971 loss_text: 0.1504 loss_kernel: 0.0694 loss: 0.2198 2022/08/27 15:36:17 - mmengine - INFO - Epoch(train) [593][35/63] lr: 1.0000e-06 eta: 0:29:39 time: 1.9286 data_time: 0.1537 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0572 loss: 0.1791 2022/08/27 15:36:21 - mmengine - INFO - Epoch(train) [593][40/63] lr: 1.0000e-06 eta: 0:29:01 time: 1.9008 data_time: 0.1071 memory: 28971 loss_text: 0.1117 loss_kernel: 0.0527 loss: 0.1644 2022/08/27 15:36:35 - mmengine - INFO - Epoch(train) [593][45/63] lr: 1.0000e-06 eta: 0:29:01 time: 1.8571 data_time: 0.0847 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0602 loss: 0.1879 2022/08/27 15:36:40 - mmengine - INFO - Epoch(train) [593][50/63] lr: 1.0000e-06 eta: 0:28:24 time: 1.8709 data_time: 0.1007 memory: 28971 loss_text: 0.1381 loss_kernel: 0.0647 loss: 0.2028 2022/08/27 15:36:47 - mmengine - INFO - Epoch(train) [593][55/63] lr: 1.0000e-06 eta: 0:28:24 time: 1.1385 data_time: 0.0565 memory: 28971 loss_text: 0.1335 loss_kernel: 0.0620 loss: 0.1956 2022/08/27 15:37:00 - mmengine - INFO - Epoch(train) [593][60/63] lr: 1.0000e-06 eta: 0:27:46 time: 1.9749 data_time: 0.2580 memory: 28971 loss_text: 0.1296 loss_kernel: 0.0613 loss: 0.1909 2022/08/27 15:37:04 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:38:50 - mmengine - INFO - Epoch(train) [594][5/63] lr: 1.0000e-06 eta: 0:27:46 time: 11.2080 data_time: 9.3118 memory: 28971 loss_text: 0.1119 loss_kernel: 0.0542 loss: 0.1660 2022/08/27 15:38:57 - mmengine - INFO - Epoch(train) [594][10/63] lr: 1.0000e-06 eta: 0:26:58 time: 11.2475 data_time: 9.3619 memory: 28971 loss_text: 0.1501 loss_kernel: 0.0701 loss: 0.2203 2022/08/27 15:39:14 - mmengine - INFO - Epoch(train) [594][15/63] lr: 1.0000e-06 eta: 0:26:58 time: 2.3298 data_time: 0.1545 memory: 28971 loss_text: 0.1088 loss_kernel: 0.0531 loss: 0.1619 2022/08/27 15:39:27 - mmengine - INFO - Epoch(train) [594][20/63] lr: 1.0000e-06 eta: 0:26:20 time: 2.9689 data_time: 0.1415 memory: 28971 loss_text: 0.0755 loss_kernel: 0.0381 loss: 0.1137 2022/08/27 15:39:38 - mmengine - INFO - Epoch(train) [594][25/63] lr: 1.0000e-06 eta: 0:26:20 time: 2.4269 data_time: 0.3246 memory: 28971 loss_text: 0.1226 loss_kernel: 0.0573 loss: 0.1800 2022/08/27 15:39:56 - mmengine - INFO - Epoch(train) [594][30/63] lr: 1.0000e-06 eta: 0:25:42 time: 2.9223 data_time: 0.3745 memory: 28971 loss_text: 0.1599 loss_kernel: 0.0732 loss: 0.2331 2022/08/27 15:40:01 - mmengine - INFO - Epoch(train) [594][35/63] lr: 1.0000e-06 eta: 0:25:42 time: 2.2802 data_time: 0.1814 memory: 28971 loss_text: 0.1506 loss_kernel: 0.0696 loss: 0.2203 2022/08/27 15:40:15 - mmengine - INFO - Epoch(train) [594][40/63] lr: 1.0000e-06 eta: 0:25:05 time: 1.9424 data_time: 0.1922 memory: 28971 loss_text: 0.1456 loss_kernel: 0.0679 loss: 0.2136 2022/08/27 15:40:25 - mmengine - INFO - Epoch(train) [594][45/63] lr: 1.0000e-06 eta: 0:25:05 time: 2.3926 data_time: 0.1783 memory: 28971 loss_text: 0.1329 loss_kernel: 0.0640 loss: 0.1969 2022/08/27 15:40:33 - mmengine - INFO - Epoch(train) [594][50/63] lr: 1.0000e-06 eta: 0:24:27 time: 1.7775 data_time: 0.1008 memory: 28971 loss_text: 0.1215 loss_kernel: 0.0593 loss: 0.1808 2022/08/27 15:40:52 - mmengine - INFO - Epoch(train) [594][55/63] lr: 1.0000e-06 eta: 0:24:27 time: 2.6659 data_time: 0.1524 memory: 28971 loss_text: 0.1363 loss_kernel: 0.0635 loss: 0.1998 2022/08/27 15:41:12 - mmengine - INFO - Epoch(train) [594][60/63] lr: 1.0000e-06 eta: 0:23:49 time: 3.9016 data_time: 0.3477 memory: 28971 loss_text: 0.1239 loss_kernel: 0.0574 loss: 0.1813 2022/08/27 15:41:17 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:43:05 - mmengine - INFO - Epoch(train) [595][5/63] lr: 1.0000e-06 eta: 0:23:49 time: 11.4945 data_time: 9.3686 memory: 28971 loss_text: 0.1489 loss_kernel: 0.0676 loss: 0.2166 2022/08/27 15:43:19 - mmengine - INFO - Epoch(train) [595][10/63] lr: 1.0000e-06 eta: 0:23:01 time: 12.2155 data_time: 9.3177 memory: 28971 loss_text: 0.1183 loss_kernel: 0.0558 loss: 0.1741 2022/08/27 15:43:28 - mmengine - INFO - Epoch(train) [595][15/63] lr: 1.0000e-06 eta: 0:23:01 time: 2.3582 data_time: 0.0845 memory: 28971 loss_text: 0.0802 loss_kernel: 0.0392 loss: 0.1195 2022/08/27 15:43:33 - mmengine - INFO - Epoch(train) [595][20/63] lr: 1.0000e-06 eta: 0:22:24 time: 1.3758 data_time: 0.0588 memory: 28971 loss_text: 0.0879 loss_kernel: 0.0431 loss: 0.1310 2022/08/27 15:43:49 - mmengine - INFO - Epoch(train) [595][25/63] lr: 1.0000e-06 eta: 0:22:24 time: 2.0441 data_time: 0.1299 memory: 28971 loss_text: 0.1084 loss_kernel: 0.0522 loss: 0.1606 2022/08/27 15:44:10 - mmengine - INFO - Epoch(train) [595][30/63] lr: 1.0000e-06 eta: 0:21:46 time: 3.6617 data_time: 0.1845 memory: 28971 loss_text: 0.1158 loss_kernel: 0.0551 loss: 0.1710 2022/08/27 15:44:15 - mmengine - INFO - Epoch(train) [595][35/63] lr: 1.0000e-06 eta: 0:21:46 time: 2.6245 data_time: 0.1774 memory: 28971 loss_text: 0.1270 loss_kernel: 0.0608 loss: 0.1879 2022/08/27 15:44:32 - mmengine - INFO - Epoch(train) [595][40/63] lr: 1.0000e-06 eta: 0:21:08 time: 2.2009 data_time: 0.1647 memory: 28971 loss_text: 0.1492 loss_kernel: 0.0705 loss: 0.2197 2022/08/27 15:44:54 - mmengine - INFO - Epoch(train) [595][45/63] lr: 1.0000e-06 eta: 0:21:08 time: 3.8892 data_time: 0.2863 memory: 28971 loss_text: 0.1470 loss_kernel: 0.0682 loss: 0.2152 2022/08/27 15:44:59 - mmengine - INFO - Epoch(train) [595][50/63] lr: 1.0000e-06 eta: 0:20:31 time: 2.7449 data_time: 0.2885 memory: 28971 loss_text: 0.1342 loss_kernel: 0.0623 loss: 0.1965 2022/08/27 15:45:24 - mmengine - INFO - Epoch(train) [595][55/63] lr: 1.0000e-06 eta: 0:20:31 time: 2.9609 data_time: 0.1927 memory: 28971 loss_text: 0.1032 loss_kernel: 0.0498 loss: 0.1530 2022/08/27 15:45:48 - mmengine - INFO - Epoch(train) [595][60/63] lr: 1.0000e-06 eta: 0:19:53 time: 4.8894 data_time: 0.3411 memory: 28971 loss_text: 0.1219 loss_kernel: 0.0568 loss: 0.1787 2022/08/27 15:45:58 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:47:56 - mmengine - INFO - Epoch(train) [596][5/63] lr: 1.0000e-06 eta: 0:19:53 time: 14.2599 data_time: 10.0362 memory: 28971 loss_text: 0.1432 loss_kernel: 0.0655 loss: 0.2087 2022/08/27 15:48:11 - mmengine - INFO - Epoch(train) [596][10/63] lr: 1.0000e-06 eta: 0:19:05 time: 13.2924 data_time: 9.9014 memory: 28971 loss_text: 0.1204 loss_kernel: 0.0575 loss: 0.1779 2022/08/27 15:48:22 - mmengine - INFO - Epoch(train) [596][15/63] lr: 1.0000e-06 eta: 0:19:05 time: 2.5884 data_time: 0.0849 memory: 28971 loss_text: 0.1170 loss_kernel: 0.0567 loss: 0.1737 2022/08/27 15:48:27 - mmengine - INFO - Epoch(train) [596][20/63] lr: 1.0000e-06 eta: 0:18:27 time: 1.5629 data_time: 0.0924 memory: 28971 loss_text: 0.1253 loss_kernel: 0.0597 loss: 0.1850 2022/08/27 15:48:44 - mmengine - INFO - Epoch(train) [596][25/63] lr: 1.0000e-06 eta: 0:18:27 time: 2.1998 data_time: 0.1046 memory: 28971 loss_text: 0.1549 loss_kernel: 0.0716 loss: 0.2266 2022/08/27 15:48:49 - mmengine - INFO - Epoch(train) [596][30/63] lr: 1.0000e-06 eta: 0:17:50 time: 2.2462 data_time: 0.1230 memory: 28971 loss_text: 0.1545 loss_kernel: 0.0715 loss: 0.2260 2022/08/27 15:49:10 - mmengine - INFO - Epoch(train) [596][35/63] lr: 1.0000e-06 eta: 0:17:50 time: 2.5835 data_time: 0.1533 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0593 loss: 0.1838 2022/08/27 15:49:14 - mmengine - INFO - Epoch(train) [596][40/63] lr: 1.0000e-06 eta: 0:17:12 time: 2.5014 data_time: 0.1251 memory: 28971 loss_text: 0.1080 loss_kernel: 0.0525 loss: 0.1605 2022/08/27 15:49:34 - mmengine - INFO - Epoch(train) [596][45/63] lr: 1.0000e-06 eta: 0:17:12 time: 2.4570 data_time: 0.0758 memory: 28971 loss_text: 0.1152 loss_kernel: 0.0540 loss: 0.1692 2022/08/27 15:49:53 - mmengine - INFO - Epoch(train) [596][50/63] lr: 1.0000e-06 eta: 0:16:35 time: 3.8326 data_time: 0.1083 memory: 28971 loss_text: 0.1370 loss_kernel: 0.0627 loss: 0.1997 2022/08/27 15:50:11 - mmengine - INFO - Epoch(train) [596][55/63] lr: 1.0000e-06 eta: 0:16:35 time: 3.6248 data_time: 0.2291 memory: 28971 loss_text: 0.1222 loss_kernel: 0.0565 loss: 0.1787 2022/08/27 15:50:22 - mmengine - INFO - Epoch(train) [596][60/63] lr: 1.0000e-06 eta: 0:15:57 time: 2.9103 data_time: 0.3757 memory: 28971 loss_text: 0.1461 loss_kernel: 0.0668 loss: 0.2129 2022/08/27 15:50:26 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:52:23 - mmengine - INFO - Epoch(train) [597][5/63] lr: 1.0000e-06 eta: 0:15:57 time: 12.1876 data_time: 9.6313 memory: 28971 loss_text: 0.1657 loss_kernel: 0.0757 loss: 0.2414 2022/08/27 15:52:39 - mmengine - INFO - Epoch(train) [597][10/63] lr: 1.0000e-06 eta: 0:15:09 time: 13.2308 data_time: 9.7930 memory: 28971 loss_text: 0.1367 loss_kernel: 0.0630 loss: 0.1997 2022/08/27 15:52:44 - mmengine - INFO - Epoch(train) [597][15/63] lr: 1.0000e-06 eta: 0:15:09 time: 2.1484 data_time: 0.2171 memory: 28971 loss_text: 0.1141 loss_kernel: 0.0536 loss: 0.1677 2022/08/27 15:52:50 - mmengine - INFO - Epoch(train) [597][20/63] lr: 1.0000e-06 eta: 0:14:31 time: 1.1048 data_time: 0.0628 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0570 loss: 0.1786 2022/08/27 15:52:56 - mmengine - INFO - Epoch(train) [597][25/63] lr: 1.0000e-06 eta: 0:14:31 time: 1.2291 data_time: 0.0596 memory: 28971 loss_text: 0.1558 loss_kernel: 0.0721 loss: 0.2279 2022/08/27 15:53:06 - mmengine - INFO - Epoch(train) [597][30/63] lr: 1.0000e-06 eta: 0:13:53 time: 1.6154 data_time: 0.0656 memory: 28971 loss_text: 0.1650 loss_kernel: 0.0762 loss: 0.2411 2022/08/27 15:53:12 - mmengine - INFO - Epoch(train) [597][35/63] lr: 1.0000e-06 eta: 0:13:53 time: 1.5429 data_time: 0.0782 memory: 28971 loss_text: 0.1277 loss_kernel: 0.0600 loss: 0.1877 2022/08/27 15:53:19 - mmengine - INFO - Epoch(train) [597][40/63] lr: 1.0000e-06 eta: 0:13:16 time: 1.2618 data_time: 0.0641 memory: 28971 loss_text: 0.1161 loss_kernel: 0.0549 loss: 0.1710 2022/08/27 15:53:25 - mmengine - INFO - Epoch(train) [597][45/63] lr: 1.0000e-06 eta: 0:13:16 time: 1.3338 data_time: 0.0515 memory: 28971 loss_text: 0.1390 loss_kernel: 0.0648 loss: 0.2038 2022/08/27 15:53:31 - mmengine - INFO - Epoch(train) [597][50/63] lr: 1.0000e-06 eta: 0:12:38 time: 1.2327 data_time: 0.0631 memory: 28971 loss_text: 0.1339 loss_kernel: 0.0628 loss: 0.1967 2022/08/27 15:53:37 - mmengine - INFO - Epoch(train) [597][55/63] lr: 1.0000e-06 eta: 0:12:38 time: 1.2249 data_time: 0.0666 memory: 28971 loss_text: 0.1245 loss_kernel: 0.0591 loss: 0.1836 2022/08/27 15:53:44 - mmengine - INFO - Epoch(train) [597][60/63] lr: 1.0000e-06 eta: 0:12:00 time: 1.2712 data_time: 0.0769 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0706 loss: 0.2211 2022/08/27 15:53:47 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:55:23 - mmengine - INFO - Epoch(train) [598][5/63] lr: 1.0000e-06 eta: 0:12:00 time: 10.0492 data_time: 8.7924 memory: 28971 loss_text: 0.1451 loss_kernel: 0.0671 loss: 0.2123 2022/08/27 15:55:28 - mmengine - INFO - Epoch(train) [598][10/63] lr: 1.0000e-06 eta: 0:11:12 time: 10.0785 data_time: 8.8590 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0648 loss: 0.2069 2022/08/27 15:55:36 - mmengine - INFO - Epoch(train) [598][15/63] lr: 1.0000e-06 eta: 0:11:12 time: 1.3804 data_time: 0.1218 memory: 28971 loss_text: 0.1237 loss_kernel: 0.0574 loss: 0.1811 2022/08/27 15:55:41 - mmengine - INFO - Epoch(train) [598][20/63] lr: 1.0000e-06 eta: 0:10:34 time: 1.3353 data_time: 0.0645 memory: 28971 loss_text: 0.1208 loss_kernel: 0.0568 loss: 0.1775 2022/08/27 15:55:46 - mmengine - INFO - Epoch(train) [598][25/63] lr: 1.0000e-06 eta: 0:10:34 time: 0.9629 data_time: 0.0581 memory: 28971 loss_text: 0.1166 loss_kernel: 0.0553 loss: 0.1719 2022/08/27 15:55:55 - mmengine - INFO - Epoch(train) [598][30/63] lr: 1.0000e-06 eta: 0:09:56 time: 1.3976 data_time: 0.0283 memory: 28971 loss_text: 0.1260 loss_kernel: 0.0599 loss: 0.1859 2022/08/27 15:56:00 - mmengine - INFO - Epoch(train) [598][35/63] lr: 1.0000e-06 eta: 0:09:56 time: 1.4296 data_time: 0.0464 memory: 28971 loss_text: 0.1177 loss_kernel: 0.0570 loss: 0.1747 2022/08/27 15:56:04 - mmengine - INFO - Epoch(train) [598][40/63] lr: 1.0000e-06 eta: 0:09:19 time: 0.9390 data_time: 0.0346 memory: 28971 loss_text: 0.1019 loss_kernel: 0.0495 loss: 0.1513 2022/08/27 15:56:14 - mmengine - INFO - Epoch(train) [598][45/63] lr: 1.0000e-06 eta: 0:09:19 time: 1.3611 data_time: 0.0261 memory: 28971 loss_text: 0.1410 loss_kernel: 0.0643 loss: 0.2053 2022/08/27 15:56:19 - mmengine - INFO - Epoch(train) [598][50/63] lr: 1.0000e-06 eta: 0:08:41 time: 1.4653 data_time: 0.0604 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0686 loss: 0.2191 2022/08/27 15:56:30 - mmengine - INFO - Epoch(train) [598][55/63] lr: 1.0000e-06 eta: 0:08:41 time: 1.5346 data_time: 0.0633 memory: 28971 loss_text: 0.1091 loss_kernel: 0.0526 loss: 0.1618 2022/08/27 15:56:35 - mmengine - INFO - Epoch(train) [598][60/63] lr: 1.0000e-06 eta: 0:08:04 time: 1.5792 data_time: 0.1316 memory: 28971 loss_text: 0.1210 loss_kernel: 0.0575 loss: 0.1785 2022/08/27 15:56:38 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 15:58:19 - mmengine - INFO - Epoch(train) [599][5/63] lr: 1.0000e-06 eta: 0:08:04 time: 10.5563 data_time: 8.9272 memory: 28971 loss_text: 0.1709 loss_kernel: 0.0782 loss: 0.2491 2022/08/27 15:58:24 - mmengine - INFO - Epoch(train) [599][10/63] lr: 1.0000e-06 eta: 0:07:15 time: 10.5399 data_time: 8.9651 memory: 28971 loss_text: 0.1682 loss_kernel: 0.0780 loss: 0.2462 2022/08/27 15:58:38 - mmengine - INFO - Epoch(train) [599][15/63] lr: 1.0000e-06 eta: 0:07:15 time: 1.8859 data_time: 0.0681 memory: 28971 loss_text: 0.1181 loss_kernel: 0.0569 loss: 0.1750 2022/08/27 15:58:43 - mmengine - INFO - Epoch(train) [599][20/63] lr: 1.0000e-06 eta: 0:06:37 time: 1.8709 data_time: 0.0985 memory: 28971 loss_text: 0.1280 loss_kernel: 0.0605 loss: 0.1885 2022/08/27 15:58:59 - mmengine - INFO - Epoch(train) [599][25/63] lr: 1.0000e-06 eta: 0:06:37 time: 2.1323 data_time: 0.1312 memory: 28971 loss_text: 0.1216 loss_kernel: 0.0574 loss: 0.1790 2022/08/27 15:59:05 - mmengine - INFO - Epoch(train) [599][30/63] lr: 1.0000e-06 eta: 0:06:00 time: 2.1987 data_time: 0.1033 memory: 28971 loss_text: 0.1109 loss_kernel: 0.0513 loss: 0.1622 2022/08/27 15:59:19 - mmengine - INFO - Epoch(train) [599][35/63] lr: 1.0000e-06 eta: 0:06:00 time: 1.9946 data_time: 0.1429 memory: 28971 loss_text: 0.1142 loss_kernel: 0.0527 loss: 0.1670 2022/08/27 15:59:24 - mmengine - INFO - Epoch(train) [599][40/63] lr: 1.0000e-06 eta: 0:05:22 time: 1.9217 data_time: 0.1512 memory: 28971 loss_text: 0.1276 loss_kernel: 0.0604 loss: 0.1880 2022/08/27 15:59:39 - mmengine - INFO - Epoch(train) [599][45/63] lr: 1.0000e-06 eta: 0:05:22 time: 2.0211 data_time: 0.1045 memory: 28971 loss_text: 0.1369 loss_kernel: 0.0645 loss: 0.2014 2022/08/27 15:59:44 - mmengine - INFO - Epoch(train) [599][50/63] lr: 1.0000e-06 eta: 0:04:45 time: 2.0412 data_time: 0.1046 memory: 28971 loss_text: 0.1351 loss_kernel: 0.0636 loss: 0.1987 2022/08/27 16:00:03 - mmengine - INFO - Epoch(train) [599][55/63] lr: 1.0000e-06 eta: 0:04:45 time: 2.3243 data_time: 0.0836 memory: 28971 loss_text: 0.1422 loss_kernel: 0.0674 loss: 0.2096 2022/08/27 16:00:20 - mmengine - INFO - Epoch(train) [599][60/63] lr: 1.0000e-06 eta: 0:04:07 time: 3.5127 data_time: 0.1848 memory: 28971 loss_text: 0.1420 loss_kernel: 0.0673 loss: 0.2093 2022/08/27 16:00:24 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 16:02:05 - mmengine - INFO - Epoch(train) [600][5/63] lr: 1.0000e-06 eta: 0:04:07 time: 11.7740 data_time: 9.1235 memory: 28971 loss_text: 0.1505 loss_kernel: 0.0696 loss: 0.2201 2022/08/27 16:02:09 - mmengine - INFO - Epoch(train) [600][10/63] lr: 1.0000e-06 eta: 0:03:18 time: 10.5358 data_time: 9.0889 memory: 28971 loss_text: 0.1479 loss_kernel: 0.0688 loss: 0.2166 2022/08/27 16:02:22 - mmengine - INFO - Epoch(train) [600][15/63] lr: 1.0000e-06 eta: 0:03:18 time: 1.6803 data_time: 0.0783 memory: 28971 loss_text: 0.1141 loss_kernel: 0.0545 loss: 0.1686 2022/08/27 16:02:26 - mmengine - INFO - Epoch(train) [600][20/63] lr: 1.0000e-06 eta: 0:02:41 time: 1.6631 data_time: 0.0867 memory: 28971 loss_text: 0.0846 loss_kernel: 0.0412 loss: 0.1257 2022/08/27 16:02:40 - mmengine - INFO - Epoch(train) [600][25/63] lr: 1.0000e-06 eta: 0:02:41 time: 1.8425 data_time: 0.0629 memory: 28971 loss_text: 0.1126 loss_kernel: 0.0530 loss: 0.1657 2022/08/27 16:02:45 - mmengine - INFO - Epoch(train) [600][30/63] lr: 1.0000e-06 eta: 0:02:03 time: 1.8461 data_time: 0.0691 memory: 28971 loss_text: 0.1361 loss_kernel: 0.0625 loss: 0.1986 2022/08/27 16:02:57 - mmengine - INFO - Epoch(train) [600][35/63] lr: 1.0000e-06 eta: 0:02:03 time: 1.7112 data_time: 0.0602 memory: 28971 loss_text: 0.1113 loss_kernel: 0.0527 loss: 0.1640 2022/08/27 16:03:03 - mmengine - INFO - Epoch(train) [600][40/63] lr: 1.0000e-06 eta: 0:01:26 time: 1.8459 data_time: 0.1110 memory: 28971 loss_text: 0.1073 loss_kernel: 0.0519 loss: 0.1592 2022/08/27 16:03:08 - mmengine - INFO - Epoch(train) [600][45/63] lr: 1.0000e-06 eta: 0:01:26 time: 1.1279 data_time: 0.1303 memory: 28971 loss_text: 0.0944 loss_kernel: 0.0459 loss: 0.1403 2022/08/27 16:03:26 - mmengine - INFO - Epoch(train) [600][50/63] lr: 1.0000e-06 eta: 0:00:48 time: 2.2677 data_time: 0.1265 memory: 28971 loss_text: 0.1212 loss_kernel: 0.0575 loss: 0.1787 2022/08/27 16:03:31 - mmengine - INFO - Epoch(train) [600][55/63] lr: 1.0000e-06 eta: 0:00:48 time: 2.2418 data_time: 0.1314 memory: 28971 loss_text: 0.1299 loss_kernel: 0.0609 loss: 0.1908 2022/08/27 16:03:49 - mmengine - INFO - Epoch(train) [600][60/63] lr: 1.0000e-06 eta: 0:00:11 time: 2.2835 data_time: 0.0765 memory: 28971 loss_text: 0.1133 loss_kernel: 0.0533 loss: 0.1666 2022/08/27 16:03:52 - mmengine - INFO - Exp name: psenet_resnet50_fpnf_600e_icdar2015_20220825_222709 2022/08/27 16:03:53 - mmengine - INFO - Saving checkpoint at 600 epochs 2022/08/27 16:04:38 - mmengine - INFO - Epoch(val) [600][5/500] eta: 0:00:11 time: 3.6663 data_time: 3.0846 memory: 28971 2022/08/27 16:04:38 - mmengine - INFO - Epoch(val) [600][10/500] eta: 0:30:04 time: 3.6818 data_time: 3.0988 memory: 3207 2022/08/27 16:04:39 - mmengine - INFO - Epoch(val) [600][15/500] eta: 0:30:04 time: 0.0963 data_time: 0.0166 memory: 3207 2022/08/27 16:04:39 - mmengine - INFO - Epoch(val) [600][20/500] eta: 0:00:39 time: 0.0825 data_time: 0.0024 memory: 3207 2022/08/27 16:04:39 - mmengine - INFO - Epoch(val) [600][25/500] eta: 0:00:39 time: 0.0841 data_time: 0.0025 memory: 3207 2022/08/27 16:04:40 - mmengine - INFO - Epoch(val) [600][30/500] eta: 0:00:41 time: 0.0875 data_time: 0.0025 memory: 3207 2022/08/27 16:04:40 - mmengine - INFO - Epoch(val) [600][35/500] eta: 0:00:41 time: 0.0905 data_time: 0.0052 memory: 3207 2022/08/27 16:04:41 - mmengine - INFO - Epoch(val) [600][40/500] eta: 0:00:42 time: 0.0920 data_time: 0.0055 memory: 3207 2022/08/27 16:04:41 - mmengine - INFO - Epoch(val) [600][45/500] eta: 0:00:42 time: 0.0900 data_time: 0.0029 memory: 3207 2022/08/27 16:04:42 - mmengine - INFO - Epoch(val) [600][50/500] eta: 0:00:52 time: 0.1171 data_time: 0.0343 memory: 3207 2022/08/27 16:04:42 - mmengine - INFO - Epoch(val) [600][55/500] eta: 0:00:52 time: 0.1278 data_time: 0.0447 memory: 3207 2022/08/27 16:04:43 - mmengine - INFO - Epoch(val) [600][60/500] eta: 0:00:43 time: 0.0981 data_time: 0.0132 memory: 3207 2022/08/27 16:04:43 - mmengine - INFO - Epoch(val) [600][65/500] eta: 0:00:43 time: 0.0887 data_time: 0.0029 memory: 3207 2022/08/27 16:04:44 - mmengine - INFO - Epoch(val) [600][70/500] eta: 0:00:38 time: 0.0889 data_time: 0.0030 memory: 3207 2022/08/27 16:04:44 - mmengine - INFO - Epoch(val) [600][75/500] eta: 0:00:38 time: 0.0890 data_time: 0.0029 memory: 3207 2022/08/27 16:04:45 - mmengine - INFO - Epoch(val) [600][80/500] eta: 0:00:40 time: 0.0962 data_time: 0.0028 memory: 3207 2022/08/27 16:04:45 - mmengine - INFO - Epoch(val) [600][85/500] eta: 0:00:40 time: 0.0910 data_time: 0.0028 memory: 3207 2022/08/27 16:04:47 - mmengine - INFO - Epoch(val) [600][90/500] eta: 0:01:51 time: 0.2731 data_time: 0.0124 memory: 3207 2022/08/27 16:04:50 - mmengine - INFO - Epoch(val) [600][95/500] eta: 0:01:51 time: 0.5084 data_time: 0.0152 memory: 3207 2022/08/27 16:04:51 - mmengine - INFO - Epoch(val) [600][100/500] eta: 0:02:14 time: 0.3371 data_time: 0.0158 memory: 3207 2022/08/27 16:04:52 - mmengine - INFO - Epoch(val) [600][105/500] eta: 0:02:14 time: 0.1748 data_time: 0.0128 memory: 3207 2022/08/27 16:04:53 - mmengine - INFO - Epoch(val) [600][110/500] eta: 0:01:30 time: 0.2321 data_time: 0.0626 memory: 3207 2022/08/27 16:04:54 - mmengine - INFO - Epoch(val) [600][115/500] eta: 0:01:30 time: 0.1618 data_time: 0.0627 memory: 3207 2022/08/27 16:04:54 - mmengine - INFO - Epoch(val) [600][120/500] eta: 0:00:32 time: 0.0847 data_time: 0.0026 memory: 3207 2022/08/27 16:04:54 - mmengine - INFO - Epoch(val) [600][125/500] eta: 0:00:32 time: 0.0872 data_time: 0.0025 memory: 3207 2022/08/27 16:04:55 - mmengine - INFO - Epoch(val) [600][130/500] eta: 0:00:36 time: 0.0993 data_time: 0.0025 memory: 3207 2022/08/27 16:04:55 - mmengine - INFO - Epoch(val) [600][135/500] eta: 0:00:36 time: 0.0956 data_time: 0.0025 memory: 3207 2022/08/27 16:04:56 - mmengine - INFO - Epoch(val) [600][140/500] eta: 0:00:30 time: 0.0834 data_time: 0.0027 memory: 3207 2022/08/27 16:04:56 - mmengine - INFO - Epoch(val) [600][145/500] eta: 0:00:30 time: 0.0881 data_time: 0.0027 memory: 3207 2022/08/27 16:04:57 - mmengine - INFO - Epoch(val) [600][150/500] eta: 0:00:38 time: 0.1113 data_time: 0.0027 memory: 3207 2022/08/27 16:04:58 - mmengine - INFO - Epoch(val) [600][155/500] eta: 0:00:38 time: 0.1676 data_time: 0.0085 memory: 3207 2022/08/27 16:04:59 - mmengine - INFO - Epoch(val) [600][160/500] eta: 0:00:58 time: 0.1719 data_time: 0.0283 memory: 3207 2022/08/27 16:04:59 - mmengine - INFO - Epoch(val) [600][165/500] eta: 0:00:58 time: 0.1141 data_time: 0.0226 memory: 3207 2022/08/27 16:05:00 - mmengine - INFO - Epoch(val) [600][170/500] eta: 0:00:29 time: 0.0888 data_time: 0.0028 memory: 3207 2022/08/27 16:05:00 - mmengine - INFO - Epoch(val) [600][175/500] eta: 0:00:29 time: 0.0847 data_time: 0.0029 memory: 3207 2022/08/27 16:05:06 - mmengine - INFO - Epoch(val) [600][180/500] eta: 0:03:18 time: 0.6207 data_time: 0.1716 memory: 3207 2022/08/27 16:05:06 - mmengine - INFO - Epoch(val) [600][185/500] eta: 0:03:18 time: 0.6489 data_time: 0.1907 memory: 3207 2022/08/27 16:05:07 - mmengine - INFO - Epoch(val) [600][190/500] eta: 0:00:50 time: 0.1618 data_time: 0.0237 memory: 3207 2022/08/27 16:05:08 - mmengine - INFO - Epoch(val) [600][195/500] eta: 0:00:50 time: 0.1472 data_time: 0.0090 memory: 3207 2022/08/27 16:05:09 - mmengine - INFO - Epoch(val) [600][200/500] eta: 0:00:45 time: 0.1511 data_time: 0.0074 memory: 3207 2022/08/27 16:05:10 - mmengine - INFO - Epoch(val) [600][205/500] eta: 0:00:45 time: 0.1643 data_time: 0.0212 memory: 3207 2022/08/27 16:05:10 - mmengine - INFO - Epoch(val) [600][210/500] eta: 0:00:31 time: 0.1083 data_time: 0.0211 memory: 3207 2022/08/27 16:05:10 - mmengine - INFO - Epoch(val) [600][215/500] eta: 0:00:31 time: 0.0857 data_time: 0.0026 memory: 3207 2022/08/27 16:05:11 - mmengine - INFO - Epoch(val) [600][220/500] eta: 0:00:24 time: 0.0874 data_time: 0.0032 memory: 3207 2022/08/27 16:05:11 - mmengine - INFO - Epoch(val) [600][225/500] eta: 0:00:24 time: 0.0858 data_time: 0.0032 memory: 3207 2022/08/27 16:05:12 - mmengine - INFO - Epoch(val) [600][230/500] eta: 0:00:22 time: 0.0825 data_time: 0.0027 memory: 3207 2022/08/27 16:05:12 - mmengine - INFO - Epoch(val) [600][235/500] eta: 0:00:22 time: 0.0961 data_time: 0.0037 memory: 3207 2022/08/27 16:05:13 - mmengine - INFO - Epoch(val) [600][240/500] eta: 0:00:27 time: 0.1049 data_time: 0.0086 memory: 3207 2022/08/27 16:05:13 - mmengine - INFO - Epoch(val) [600][245/500] eta: 0:00:27 time: 0.0977 data_time: 0.0161 memory: 3207 2022/08/27 16:05:14 - mmengine - INFO - Epoch(val) [600][250/500] eta: 0:00:22 time: 0.0919 data_time: 0.0113 memory: 3207 2022/08/27 16:05:14 - mmengine - INFO - Epoch(val) [600][255/500] eta: 0:00:22 time: 0.0865 data_time: 0.0065 memory: 3207 2022/08/27 16:05:15 - mmengine - INFO - Epoch(val) [600][260/500] eta: 0:00:22 time: 0.0939 data_time: 0.0077 memory: 3207 2022/08/27 16:05:15 - mmengine - INFO - Epoch(val) [600][265/500] eta: 0:00:22 time: 0.0947 data_time: 0.0041 memory: 3207 2022/08/27 16:05:15 - mmengine - INFO - Epoch(val) [600][270/500] eta: 0:00:20 time: 0.0879 data_time: 0.0028 memory: 3207 2022/08/27 16:05:20 - mmengine - INFO - Epoch(val) [600][275/500] eta: 0:00:20 time: 0.4615 data_time: 0.0032 memory: 3207 2022/08/27 16:05:20 - mmengine - INFO - Epoch(val) [600][280/500] eta: 0:01:45 time: 0.4803 data_time: 0.0087 memory: 3207 2022/08/27 16:05:21 - mmengine - INFO - Epoch(val) [600][285/500] eta: 0:01:45 time: 0.1129 data_time: 0.0114 memory: 3207 2022/08/27 16:05:21 - mmengine - INFO - Epoch(val) [600][290/500] eta: 0:00:20 time: 0.0959 data_time: 0.0060 memory: 3207 2022/08/27 16:05:22 - mmengine - INFO - Epoch(val) [600][295/500] eta: 0:00:20 time: 0.0877 data_time: 0.0028 memory: 3207 2022/08/27 16:05:22 - mmengine - INFO - Epoch(val) [600][300/500] eta: 0:00:18 time: 0.0925 data_time: 0.0028 memory: 3207 2022/08/27 16:05:23 - mmengine - INFO - Epoch(val) [600][305/500] eta: 0:00:18 time: 0.0913 data_time: 0.0027 memory: 3207 2022/08/27 16:05:24 - mmengine - INFO - Epoch(val) [600][310/500] eta: 0:00:43 time: 0.2278 data_time: 0.0980 memory: 3207 2022/08/27 16:05:26 - mmengine - INFO - Epoch(val) [600][315/500] eta: 0:00:43 time: 0.3498 data_time: 0.1291 memory: 3207 2022/08/27 16:05:27 - mmengine - INFO - Epoch(val) [600][320/500] eta: 0:00:37 time: 0.2109 data_time: 0.0384 memory: 3207 2022/08/27 16:05:27 - mmengine - INFO - Epoch(val) [600][325/500] eta: 0:00:37 time: 0.1046 data_time: 0.0075 memory: 3207 2022/08/27 16:05:28 - mmengine - INFO - Epoch(val) [600][330/500] eta: 0:00:16 time: 0.0987 data_time: 0.0027 memory: 3207 2022/08/27 16:05:28 - mmengine - INFO - Epoch(val) [600][335/500] eta: 0:00:16 time: 0.0812 data_time: 0.0026 memory: 3207 2022/08/27 16:05:29 - mmengine - INFO - Epoch(val) [600][340/500] eta: 0:00:15 time: 0.0951 data_time: 0.0025 memory: 3207 2022/08/27 16:05:29 - mmengine - INFO - Epoch(val) [600][345/500] eta: 0:00:15 time: 0.1129 data_time: 0.0025 memory: 3207 2022/08/27 16:05:30 - mmengine - INFO - Epoch(val) [600][350/500] eta: 0:00:17 time: 0.1187 data_time: 0.0025 memory: 3207 2022/08/27 16:05:35 - mmengine - INFO - Epoch(val) [600][355/500] eta: 0:00:17 time: 0.5445 data_time: 0.0092 memory: 3207 2022/08/27 16:05:35 - mmengine - INFO - Epoch(val) [600][360/500] eta: 0:01:16 time: 0.5431 data_time: 0.0189 memory: 3207 2022/08/27 16:05:36 - mmengine - INFO - Epoch(val) [600][365/500] eta: 0:01:16 time: 0.1033 data_time: 0.0123 memory: 3207 2022/08/27 16:05:36 - mmengine - INFO - Epoch(val) [600][370/500] eta: 0:00:13 time: 0.1025 data_time: 0.0027 memory: 3207 2022/08/27 16:05:37 - mmengine - INFO - Epoch(val) [600][375/500] eta: 0:00:13 time: 0.1866 data_time: 0.0776 memory: 3207 2022/08/27 16:05:38 - mmengine - INFO - Epoch(val) [600][380/500] eta: 0:00:20 time: 0.1748 data_time: 0.0806 memory: 3207 2022/08/27 16:05:38 - mmengine - INFO - Epoch(val) [600][385/500] eta: 0:00:20 time: 0.0904 data_time: 0.0057 memory: 3207 2022/08/27 16:05:39 - mmengine - INFO - Epoch(val) [600][390/500] eta: 0:00:09 time: 0.0851 data_time: 0.0028 memory: 3207 2022/08/27 16:05:39 - mmengine - INFO - Epoch(val) [600][395/500] eta: 0:00:09 time: 0.0986 data_time: 0.0028 memory: 3207 2022/08/27 16:05:40 - mmengine - INFO - Epoch(val) [600][400/500] eta: 0:00:11 time: 0.1127 data_time: 0.0028 memory: 3207 2022/08/27 16:05:40 - mmengine - INFO - Epoch(val) [600][405/500] eta: 0:00:11 time: 0.0982 data_time: 0.0028 memory: 3207 2022/08/27 16:05:41 - mmengine - INFO - Epoch(val) [600][410/500] eta: 0:00:07 time: 0.0873 data_time: 0.0027 memory: 3207 2022/08/27 16:05:41 - mmengine - INFO - Epoch(val) [600][415/500] eta: 0:00:07 time: 0.0865 data_time: 0.0027 memory: 3207 2022/08/27 16:05:42 - mmengine - INFO - Epoch(val) [600][420/500] eta: 0:00:06 time: 0.0814 data_time: 0.0029 memory: 3207 2022/08/27 16:05:42 - mmengine - INFO - Epoch(val) [600][425/500] eta: 0:00:06 time: 0.0972 data_time: 0.0029 memory: 3207 2022/08/27 16:05:43 - mmengine - INFO - Epoch(val) [600][430/500] eta: 0:00:09 time: 0.1384 data_time: 0.0032 memory: 3207 2022/08/27 16:05:49 - mmengine - INFO - Epoch(val) [600][435/500] eta: 0:00:09 time: 0.7163 data_time: 0.0272 memory: 3207 2022/08/27 16:05:50 - mmengine - INFO - Epoch(val) [600][440/500] eta: 0:00:43 time: 0.7204 data_time: 0.0374 memory: 3207 2022/08/27 16:05:51 - mmengine - INFO - Epoch(val) [600][445/500] eta: 0:00:43 time: 0.1283 data_time: 0.0133 memory: 3207 2022/08/27 16:05:51 - mmengine - INFO - Epoch(val) [600][450/500] eta: 0:00:04 time: 0.0858 data_time: 0.0025 memory: 3207 2022/08/27 16:05:52 - mmengine - INFO - Epoch(val) [600][455/500] eta: 0:00:04 time: 0.0964 data_time: 0.0025 memory: 3207 2022/08/27 16:05:52 - mmengine - INFO - Epoch(val) [600][460/500] eta: 0:00:03 time: 0.0929 data_time: 0.0025 memory: 3207 2022/08/27 16:05:53 - mmengine - INFO - Epoch(val) [600][465/500] eta: 0:00:03 time: 0.1062 data_time: 0.0027 memory: 3207 2022/08/27 16:05:54 - mmengine - INFO - Epoch(val) [600][470/500] eta: 0:00:06 time: 0.2326 data_time: 0.0619 memory: 3207 2022/08/27 16:05:55 - mmengine - INFO - Epoch(val) [600][475/500] eta: 0:00:06 time: 0.2095 data_time: 0.0654 memory: 3207 2022/08/27 16:05:55 - mmengine - INFO - Epoch(val) [600][480/500] eta: 0:00:01 time: 0.0878 data_time: 0.0063 memory: 3207 2022/08/27 16:05:56 - mmengine - INFO - Epoch(val) [600][485/500] eta: 0:00:01 time: 0.0928 data_time: 0.0028 memory: 3207 2022/08/27 16:05:56 - mmengine - INFO - Epoch(val) [600][490/500] eta: 0:00:00 time: 0.0930 data_time: 0.0028 memory: 3207 2022/08/27 16:05:57 - mmengine - INFO - Epoch(val) [600][495/500] eta: 0:00:00 time: 0.0888 data_time: 0.0028 memory: 3207 2022/08/27 16:05:57 - mmengine - INFO - Epoch(val) [600][500/500] eta: 0:00:00 time: 0.0854 data_time: 0.0028 memory: 3207 2022/08/27 16:05:57 - mmengine - INFO - Evaluating hmean-iou... 2022/08/27 16:05:57 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7843, precision: 0.6521, hmean: 0.7121 2022/08/27 16:05:57 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7843, precision: 0.6521, hmean: 0.7121 2022/08/27 16:05:57 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7843, precision: 0.6521, hmean: 0.7121 2022/08/27 16:05:57 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7843, precision: 0.6827, hmean: 0.7300 2022/08/27 16:05:57 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7843, precision: 0.7295, hmean: 0.7559 2022/08/27 16:05:57 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7805, precision: 0.7752, hmean: 0.7778 2022/08/27 16:05:57 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7636, precision: 0.8396, hmean: 0.7998 2022/08/27 16:05:57 - mmengine - INFO - Epoch(val) [600][500/500] icdar/precision: 0.8396 icdar/recall: 0.7636 icdar/hmean: 0.7998