2022/11/01 14:04:06 - 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: 1696374749 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: 4.6.0 MMEngine: 0.2.0 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 ------------------------------------------------------------ 2022/11/01 14:04:07 - mmengine - INFO - Config: file_client_args = dict(backend='disk') model = dict( type='PSENet', backbone=dict( type='CLIPResNet', init_cfg=dict( type='Pretrained', checkpoint= 'r50_oclip.pth')), neck=dict( type='FPNF', in_channels=[256, 512, 1024, 2048], out_channels=256, fusion_type='concat'), det_head=dict( type='PSEHead', in_channels=[256], hidden_dim=256, out_channel=7, module_loss=dict(type='PSEModuleLoss'), postprocessor=dict(type='PSEPostprocessor', text_repr_type='poly')), data_preprocessor=dict( type='TextDetDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True, pad_size_divisor=32)) train_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='FixInvalidPolygon'), dict(type='ShortScaleAspectJitter', short_size=736, scale_divisor=32), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='RandomRotate', max_angle=10), dict(type='TextDetRandomCrop', target_size=(736, 736)), dict(type='Pad', size=(736, 736)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] test_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(2240, 2240), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] ctw_det_data_root = 'data/det/ctw1500' ctw_det_train = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='FixInvalidPolygon'), dict(type='ShortScaleAspectJitter', short_size=736, scale_divisor=32), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='RandomRotate', max_angle=10), dict(type='TextDetRandomCrop', target_size=(736, 736)), dict(type='Pad', size=(736, 736)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) ctw_det_test = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1280, 1280), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) default_scope = 'mmocr' env_cfg = dict( cudnn_benchmark=True, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) randomness = dict(seed=None) default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=5), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=20, out_dir='sproject:s3://oclip'), 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 = True val_evaluator = dict(type='HmeanIOUMetric') test_evaluator = dict(type='HmeanIOUMetric') vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='TextDetLocalVisualizer', name='visualizer', vis_backends=[dict(type='LocalVisBackend')]) optim_wrapper = dict( type='OptimWrapper', optimizer=dict(type='Adam', lr=0.0001)) train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=600, val_interval=40) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [dict(type='MultiStepLR', milestones=[200, 400], end=600)] test_pipeline_ctw = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1280, 1280), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] train_dataloader = dict( batch_size=16, num_workers=8, persistent_workers=False, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='FixInvalidPolygon'), dict( type='ShortScaleAspectJitter', short_size=736, scale_divisor=32), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='RandomRotate', max_angle=10), dict(type='TextDetRandomCrop', target_size=(736, 736)), dict(type='Pad', size=(736, 736)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) val_dataloader = dict( batch_size=1, num_workers=1, persistent_workers=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1280, 1280), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) test_dataloader = dict( batch_size=1, num_workers=1, persistent_workers=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1280, 1280), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) auto_scale_lr = dict(base_batch_size=256) launcher = 'slurm' work_dir = './work_dirs/psenet_resnet50-oclip_fpnf_600e_ctw1500' Name of parameter - Initialization information backbone.stem.0.weight - torch.Size([32, 3, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.stem.1.weight - torch.Size([32]): PretrainedInit: load from r50_oclip.pth backbone.stem.1.bias - torch.Size([32]): PretrainedInit: load from r50_oclip.pth backbone.stem.3.weight - torch.Size([32, 32, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.stem.4.weight - torch.Size([32]): PretrainedInit: load from r50_oclip.pth backbone.stem.4.bias - torch.Size([32]): PretrainedInit: load from r50_oclip.pth backbone.stem.6.weight - torch.Size([64, 32, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.stem.7.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.stem.7.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.downsample.1.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.downsample.2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.downsample.2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.downsample.1.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.downsample.2.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.downsample.2.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.downsample.1.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.downsample.2.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.downsample.2.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.downsample.1.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.downsample.2.weight - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.downsample.2.bias - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth 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 2022/11/01 14:04:47 - mmengine - INFO - Auto resumed from the latest checkpoint sproject:s3://oclip/psenet_resnet50-oclip_fpnf_600e_ctw1500/epoch_20.pth. 2022/11/01 14:04:48 - mmengine - INFO - Load checkpoint from sproject:s3://oclip/psenet_resnet50-oclip_fpnf_600e_ctw1500/epoch_20.pth 2022/11/01 14:04:48 - mmengine - INFO - resumed epoch: 20, iter: 1260 2022/11/01 14:04:48 - mmengine - INFO - Checkpoints will be saved to sproject:s3://oclip/psenet_resnet50-oclip_fpnf_600e_ctw1500. 2022/11/01 14:06:26 - mmengine - INFO - Epoch(train) [21][5/63] lr: 1.0000e-04 eta: 1 day, 3:10:16 time: 10.4043 data_time: 8.0419 memory: 59911 loss: 0.1656 loss_text: 0.1121 loss_kernel: 0.0535 2022/11/01 14:06:30 - mmengine - INFO - Epoch(train) [21][10/63] lr: 1.0000e-04 eta: 4 days, 7:08:07 time: 10.1639 data_time: 8.0515 memory: 27787 loss: 0.1442 loss_text: 0.0978 loss_kernel: 0.0464 2022/11/01 14:06:33 - mmengine - INFO - Epoch(train) [21][15/63] lr: 1.0000e-04 eta: 4 days, 7:08:07 time: 0.7853 data_time: 0.0241 memory: 27787 loss: 0.1216 loss_text: 0.0846 loss_kernel: 0.0370 2022/11/01 14:06:37 - mmengine - INFO - Epoch(train) [21][20/63] lr: 1.0000e-04 eta: 2 days, 7:33:14 time: 0.7887 data_time: 0.0216 memory: 27787 loss: 0.1269 loss_text: 0.0870 loss_kernel: 0.0399 2022/11/01 14:06:41 - mmengine - INFO - Epoch(train) [21][25/63] lr: 1.0000e-04 eta: 2 days, 7:33:14 time: 0.7934 data_time: 0.0217 memory: 27787 loss: 0.1243 loss_text: 0.0866 loss_kernel: 0.0377 2022/11/01 14:06:45 - mmengine - INFO - Epoch(train) [21][30/63] lr: 1.0000e-04 eta: 1 day, 15:43:42 time: 0.7995 data_time: 0.0307 memory: 27787 loss: 0.1358 loss_text: 0.0954 loss_kernel: 0.0405 2022/11/01 14:06:49 - mmengine - INFO - Epoch(train) [21][35/63] lr: 1.0000e-04 eta: 1 day, 15:43:42 time: 0.8003 data_time: 0.0350 memory: 27787 loss: 0.1388 loss_text: 0.0921 loss_kernel: 0.0467 2022/11/01 14:06:53 - mmengine - INFO - Epoch(train) [21][40/63] lr: 1.0000e-04 eta: 1 day, 7:47:43 time: 0.7919 data_time: 0.0181 memory: 27787 loss: 0.1325 loss_text: 0.0865 loss_kernel: 0.0460 2022/11/01 14:06:57 - mmengine - INFO - Epoch(train) [21][45/63] lr: 1.0000e-04 eta: 1 day, 7:47:43 time: 0.7927 data_time: 0.0180 memory: 27787 loss: 0.1413 loss_text: 0.0976 loss_kernel: 0.0437 2022/11/01 14:07:01 - mmengine - INFO - Epoch(train) [21][50/63] lr: 1.0000e-04 eta: 1 day, 3:02:51 time: 0.7983 data_time: 0.0245 memory: 27787 loss: 0.1447 loss_text: 0.1028 loss_kernel: 0.0419 2022/11/01 14:07:05 - mmengine - INFO - Epoch(train) [21][55/63] lr: 1.0000e-04 eta: 1 day, 3:02:51 time: 0.7999 data_time: 0.0236 memory: 27787 loss: 0.1295 loss_text: 0.0889 loss_kernel: 0.0407 2022/11/01 14:07:09 - mmengine - INFO - Epoch(train) [21][60/63] lr: 1.0000e-04 eta: 23:51:27 time: 0.7840 data_time: 0.0175 memory: 27787 loss: 0.1148 loss_text: 0.0765 loss_kernel: 0.0383 2022/11/01 14:07:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:08:49 - mmengine - INFO - Epoch(train) [22][5/63] lr: 1.0000e-04 eta: 23:51:27 time: 10.1194 data_time: 8.0798 memory: 46809 loss: 0.1354 loss_text: 0.0914 loss_kernel: 0.0439 2022/11/01 14:08:53 - mmengine - INFO - Epoch(train) [22][10/63] lr: 1.0000e-04 eta: 1 day, 7:56:43 time: 8.8952 data_time: 8.1119 memory: 27787 loss: 0.1395 loss_text: 0.0956 loss_kernel: 0.0439 2022/11/01 14:08:57 - mmengine - INFO - Epoch(train) [22][15/63] lr: 1.0000e-04 eta: 1 day, 7:56:43 time: 0.8171 data_time: 0.0463 memory: 27787 loss: 0.1320 loss_text: 0.0899 loss_kernel: 0.0422 2022/11/01 14:09:01 - mmengine - INFO - Epoch(train) [22][20/63] lr: 1.0000e-04 eta: 1 day, 5:03:37 time: 0.7963 data_time: 0.0213 memory: 27787 loss: 0.1285 loss_text: 0.0873 loss_kernel: 0.0413 2022/11/01 14:09:05 - mmengine - INFO - Epoch(train) [22][25/63] lr: 1.0000e-04 eta: 1 day, 5:03:37 time: 0.8060 data_time: 0.0291 memory: 27787 loss: 0.1277 loss_text: 0.0870 loss_kernel: 0.0406 2022/11/01 14:09:09 - mmengine - INFO - Epoch(train) [22][30/63] lr: 1.0000e-04 eta: 1 day, 2:47:34 time: 0.7942 data_time: 0.0247 memory: 27787 loss: 0.1155 loss_text: 0.0770 loss_kernel: 0.0384 2022/11/01 14:09:13 - mmengine - INFO - Epoch(train) [22][35/63] lr: 1.0000e-04 eta: 1 day, 2:47:34 time: 0.8024 data_time: 0.0231 memory: 27787 loss: 0.1203 loss_text: 0.0801 loss_kernel: 0.0402 2022/11/01 14:09:17 - mmengine - INFO - Epoch(train) [22][40/63] lr: 1.0000e-04 eta: 1 day, 0:58:44 time: 0.8079 data_time: 0.0269 memory: 27787 loss: 0.1227 loss_text: 0.0833 loss_kernel: 0.0395 2022/11/01 14:09:21 - mmengine - INFO - Epoch(train) [22][45/63] lr: 1.0000e-04 eta: 1 day, 0:58:44 time: 0.8027 data_time: 0.0255 memory: 27787 loss: 0.1191 loss_text: 0.0811 loss_kernel: 0.0379 2022/11/01 14:09:25 - mmengine - INFO - Epoch(train) [22][50/63] lr: 1.0000e-04 eta: 23:28:52 time: 0.8029 data_time: 0.0289 memory: 27787 loss: 0.1377 loss_text: 0.0941 loss_kernel: 0.0436 2022/11/01 14:09:29 - mmengine - INFO - Epoch(train) [22][55/63] lr: 1.0000e-04 eta: 23:28:52 time: 0.7895 data_time: 0.0205 memory: 27787 loss: 0.1526 loss_text: 0.1042 loss_kernel: 0.0483 2022/11/01 14:09:33 - mmengine - INFO - Epoch(train) [22][60/63] lr: 1.0000e-04 eta: 22:12:33 time: 0.7821 data_time: 0.0144 memory: 27787 loss: 0.1424 loss_text: 0.0967 loss_kernel: 0.0457 2022/11/01 14:09:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:11:01 - mmengine - INFO - Epoch(train) [23][5/63] lr: 1.0000e-04 eta: 22:12:33 time: 8.9561 data_time: 8.2159 memory: 27787 loss: 0.1290 loss_text: 0.0872 loss_kernel: 0.0418 2022/11/01 14:11:05 - mmengine - INFO - Epoch(train) [23][10/63] lr: 1.0000e-04 eta: 1 day, 2:46:59 time: 9.0160 data_time: 8.2296 memory: 27787 loss: 0.1244 loss_text: 0.0844 loss_kernel: 0.0401 2022/11/01 14:11:09 - mmengine - INFO - Epoch(train) [23][15/63] lr: 1.0000e-04 eta: 1 day, 2:46:59 time: 0.8068 data_time: 0.0266 memory: 27787 loss: 0.1290 loss_text: 0.0877 loss_kernel: 0.0413 2022/11/01 14:11:13 - mmengine - INFO - Epoch(train) [23][20/63] lr: 1.0000e-04 eta: 1 day, 1:29:31 time: 0.7947 data_time: 0.0178 memory: 27787 loss: 0.1479 loss_text: 0.1006 loss_kernel: 0.0473 2022/11/01 14:11:17 - mmengine - INFO - Epoch(train) [23][25/63] lr: 1.0000e-04 eta: 1 day, 1:29:31 time: 0.8107 data_time: 0.0338 memory: 27787 loss: 0.1410 loss_text: 0.0971 loss_kernel: 0.0439 2022/11/01 14:11:21 - mmengine - INFO - Epoch(train) [23][30/63] lr: 1.0000e-04 eta: 1 day, 0:22:53 time: 0.8182 data_time: 0.0384 memory: 27787 loss: 0.1255 loss_text: 0.0865 loss_kernel: 0.0390 2022/11/01 14:11:25 - mmengine - INFO - Epoch(train) [23][35/63] lr: 1.0000e-04 eta: 1 day, 0:22:53 time: 0.8022 data_time: 0.0236 memory: 27787 loss: 0.1360 loss_text: 0.0919 loss_kernel: 0.0441 2022/11/01 14:11:29 - mmengine - INFO - Epoch(train) [23][40/63] lr: 1.0000e-04 eta: 23:23:11 time: 0.7886 data_time: 0.0203 memory: 27787 loss: 0.1461 loss_text: 0.0988 loss_kernel: 0.0473 2022/11/01 14:11:33 - mmengine - INFO - Epoch(train) [23][45/63] lr: 1.0000e-04 eta: 23:23:11 time: 0.7967 data_time: 0.0275 memory: 27787 loss: 0.1492 loss_text: 0.1022 loss_kernel: 0.0470 2022/11/01 14:11:37 - mmengine - INFO - Epoch(train) [23][50/63] lr: 1.0000e-04 eta: 22:30:25 time: 0.7935 data_time: 0.0258 memory: 27787 loss: 0.1455 loss_text: 0.1021 loss_kernel: 0.0434 2022/11/01 14:11:41 - mmengine - INFO - Epoch(train) [23][55/63] lr: 1.0000e-04 eta: 22:30:25 time: 0.7743 data_time: 0.0192 memory: 27787 loss: 0.1463 loss_text: 0.1026 loss_kernel: 0.0437 2022/11/01 14:11:45 - mmengine - INFO - Epoch(train) [23][60/63] lr: 1.0000e-04 eta: 21:42:51 time: 0.7793 data_time: 0.0176 memory: 27787 loss: 0.1496 loss_text: 0.1021 loss_kernel: 0.0475 2022/11/01 14:11:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:13:13 - mmengine - INFO - Epoch(train) [24][5/63] lr: 1.0000e-04 eta: 21:42:51 time: 8.9059 data_time: 8.1693 memory: 27787 loss: 0.1295 loss_text: 0.0908 loss_kernel: 0.0387 2022/11/01 14:13:17 - mmengine - INFO - Epoch(train) [24][10/63] lr: 1.0000e-04 eta: 1 day, 0:50:07 time: 8.9636 data_time: 8.1795 memory: 27787 loss: 0.1433 loss_text: 0.1008 loss_kernel: 0.0425 2022/11/01 14:13:21 - mmengine - INFO - Epoch(train) [24][15/63] lr: 1.0000e-04 eta: 1 day, 0:50:07 time: 0.8037 data_time: 0.0194 memory: 27787 loss: 0.1489 loss_text: 0.1027 loss_kernel: 0.0463 2022/11/01 14:13:25 - mmengine - INFO - Epoch(train) [24][20/63] lr: 1.0000e-04 eta: 1 day, 0:01:58 time: 0.8125 data_time: 0.0246 memory: 27787 loss: 0.1390 loss_text: 0.0942 loss_kernel: 0.0449 2022/11/01 14:13:29 - mmengine - INFO - Epoch(train) [24][25/63] lr: 1.0000e-04 eta: 1 day, 0:01:58 time: 0.8171 data_time: 0.0335 memory: 27787 loss: 0.1443 loss_text: 0.0983 loss_kernel: 0.0460 2022/11/01 14:13:33 - mmengine - INFO - Epoch(train) [24][30/63] lr: 1.0000e-04 eta: 23:17:39 time: 0.7922 data_time: 0.0219 memory: 27787 loss: 0.1502 loss_text: 0.1043 loss_kernel: 0.0459 2022/11/01 14:13:37 - mmengine - INFO - Epoch(train) [24][35/63] lr: 1.0000e-04 eta: 23:17:39 time: 0.7811 data_time: 0.0185 memory: 27787 loss: 0.1522 loss_text: 0.1061 loss_kernel: 0.0462 2022/11/01 14:13:41 - mmengine - INFO - Epoch(train) [24][40/63] lr: 1.0000e-04 eta: 22:37:11 time: 0.7924 data_time: 0.0218 memory: 27787 loss: 0.1495 loss_text: 0.1046 loss_kernel: 0.0449 2022/11/01 14:13:45 - mmengine - INFO - Epoch(train) [24][45/63] lr: 1.0000e-04 eta: 22:37:11 time: 0.8006 data_time: 0.0245 memory: 27787 loss: 0.1342 loss_text: 0.0919 loss_kernel: 0.0423 2022/11/01 14:13:48 - mmengine - INFO - Epoch(train) [24][50/63] lr: 1.0000e-04 eta: 21:59:59 time: 0.7875 data_time: 0.0206 memory: 27787 loss: 0.1331 loss_text: 0.0899 loss_kernel: 0.0432 2022/11/01 14:13:52 - mmengine - INFO - Epoch(train) [24][55/63] lr: 1.0000e-04 eta: 21:59:59 time: 0.7869 data_time: 0.0203 memory: 27787 loss: 0.1274 loss_text: 0.0859 loss_kernel: 0.0415 2022/11/01 14:13:56 - mmengine - INFO - Epoch(train) [24][60/63] lr: 1.0000e-04 eta: 21:25:55 time: 0.7945 data_time: 0.0211 memory: 27787 loss: 0.1264 loss_text: 0.0844 loss_kernel: 0.0419 2022/11/01 14:13:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:15:24 - mmengine - INFO - Epoch(train) [25][5/63] lr: 1.0000e-04 eta: 21:25:55 time: 8.9078 data_time: 8.1667 memory: 27787 loss: 0.1254 loss_text: 0.0867 loss_kernel: 0.0388 2022/11/01 14:15:28 - mmengine - INFO - Epoch(train) [25][10/63] lr: 1.0000e-04 eta: 23:48:23 time: 8.9573 data_time: 8.1736 memory: 27787 loss: 0.1277 loss_text: 0.0882 loss_kernel: 0.0395 2022/11/01 14:15:32 - mmengine - INFO - Epoch(train) [25][15/63] lr: 1.0000e-04 eta: 23:48:23 time: 0.8001 data_time: 0.0253 memory: 27787 loss: 0.1202 loss_text: 0.0809 loss_kernel: 0.0393 2022/11/01 14:15:36 - mmengine - INFO - Epoch(train) [25][20/63] lr: 1.0000e-04 eta: 23:13:11 time: 0.7963 data_time: 0.0221 memory: 27787 loss: 0.1222 loss_text: 0.0823 loss_kernel: 0.0399 2022/11/01 14:15:40 - mmengine - INFO - Epoch(train) [25][25/63] lr: 1.0000e-04 eta: 23:13:11 time: 0.8055 data_time: 0.0291 memory: 27787 loss: 0.1269 loss_text: 0.0865 loss_kernel: 0.0404 2022/11/01 14:15:44 - mmengine - INFO - Epoch(train) [25][30/63] lr: 1.0000e-04 eta: 22:40:37 time: 0.8028 data_time: 0.0282 memory: 27787 loss: 0.1328 loss_text: 0.0894 loss_kernel: 0.0435 2022/11/01 14:15:48 - mmengine - INFO - Epoch(train) [25][35/63] lr: 1.0000e-04 eta: 22:40:37 time: 0.7972 data_time: 0.0219 memory: 27787 loss: 0.1279 loss_text: 0.0862 loss_kernel: 0.0417 2022/11/01 14:15:52 - mmengine - INFO - Epoch(train) [25][40/63] lr: 1.0000e-04 eta: 22:10:14 time: 0.8014 data_time: 0.0228 memory: 27787 loss: 0.1144 loss_text: 0.0791 loss_kernel: 0.0353 2022/11/01 14:15:56 - mmengine - INFO - Epoch(train) [25][45/63] lr: 1.0000e-04 eta: 22:10:14 time: 0.8054 data_time: 0.0298 memory: 27787 loss: 0.1258 loss_text: 0.0860 loss_kernel: 0.0398 2022/11/01 14:16:00 - mmengine - INFO - Epoch(train) [25][50/63] lr: 1.0000e-04 eta: 21:41:47 time: 0.7976 data_time: 0.0266 memory: 27787 loss: 0.1273 loss_text: 0.0850 loss_kernel: 0.0424 2022/11/01 14:16:04 - mmengine - INFO - Epoch(train) [25][55/63] lr: 1.0000e-04 eta: 21:41:47 time: 0.7776 data_time: 0.0171 memory: 27787 loss: 0.1325 loss_text: 0.0902 loss_kernel: 0.0423 2022/11/01 14:16:08 - mmengine - INFO - Epoch(train) [25][60/63] lr: 1.0000e-04 eta: 21:14:48 time: 0.7798 data_time: 0.0159 memory: 27787 loss: 0.1415 loss_text: 0.0979 loss_kernel: 0.0436 2022/11/01 14:16:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:17:35 - mmengine - INFO - Epoch(train) [26][5/63] lr: 1.0000e-04 eta: 21:14:48 time: 8.8227 data_time: 8.0811 memory: 27787 loss: 0.1455 loss_text: 0.1009 loss_kernel: 0.0445 2022/11/01 14:17:39 - mmengine - INFO - Epoch(train) [26][10/63] lr: 1.0000e-04 eta: 23:08:26 time: 8.8881 data_time: 8.0992 memory: 27787 loss: 0.1298 loss_text: 0.0896 loss_kernel: 0.0402 2022/11/01 14:17:43 - mmengine - INFO - Epoch(train) [26][15/63] lr: 1.0000e-04 eta: 23:08:26 time: 0.8060 data_time: 0.0327 memory: 27787 loss: 0.1180 loss_text: 0.0809 loss_kernel: 0.0371 2022/11/01 14:17:47 - mmengine - INFO - Epoch(train) [26][20/63] lr: 1.0000e-04 eta: 22:40:55 time: 0.7933 data_time: 0.0276 memory: 27787 loss: 0.1259 loss_text: 0.0854 loss_kernel: 0.0405 2022/11/01 14:17:50 - mmengine - INFO - Epoch(train) [26][25/63] lr: 1.0000e-04 eta: 22:40:55 time: 0.7885 data_time: 0.0215 memory: 27787 loss: 0.1307 loss_text: 0.0890 loss_kernel: 0.0417 2022/11/01 14:17:55 - mmengine - INFO - Epoch(train) [26][30/63] lr: 1.0000e-04 eta: 22:15:01 time: 0.7954 data_time: 0.0245 memory: 27787 loss: 0.1249 loss_text: 0.0856 loss_kernel: 0.0394 2022/11/01 14:17:58 - mmengine - INFO - Epoch(train) [26][35/63] lr: 1.0000e-04 eta: 22:15:01 time: 0.8000 data_time: 0.0299 memory: 27787 loss: 0.1415 loss_text: 0.0985 loss_kernel: 0.0430 2022/11/01 14:18:03 - mmengine - INFO - Epoch(train) [26][40/63] lr: 1.0000e-04 eta: 21:50:45 time: 0.8065 data_time: 0.0299 memory: 27787 loss: 0.1414 loss_text: 0.0992 loss_kernel: 0.0422 2022/11/01 14:18:07 - mmengine - INFO - Epoch(train) [26][45/63] lr: 1.0000e-04 eta: 21:50:45 time: 0.8170 data_time: 0.0306 memory: 27787 loss: 0.1349 loss_text: 0.0923 loss_kernel: 0.0425 2022/11/01 14:18:11 - mmengine - INFO - Epoch(train) [26][50/63] lr: 1.0000e-04 eta: 21:27:41 time: 0.7987 data_time: 0.0190 memory: 27787 loss: 0.1340 loss_text: 0.0914 loss_kernel: 0.0426 2022/11/01 14:18:15 - mmengine - INFO - Epoch(train) [26][55/63] lr: 1.0000e-04 eta: 21:27:41 time: 0.7968 data_time: 0.0242 memory: 27787 loss: 0.1346 loss_text: 0.0924 loss_kernel: 0.0421 2022/11/01 14:18:19 - mmengine - INFO - Epoch(train) [26][60/63] lr: 1.0000e-04 eta: 21:05:43 time: 0.7920 data_time: 0.0197 memory: 27787 loss: 0.1385 loss_text: 0.0952 loss_kernel: 0.0433 2022/11/01 14:18:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:20:01 - mmengine - INFO - Epoch(train) [27][5/63] lr: 1.0000e-04 eta: 21:05:43 time: 10.4136 data_time: 9.6805 memory: 27787 loss: 0.1174 loss_text: 0.0789 loss_kernel: 0.0385 2022/11/01 14:20:06 - mmengine - INFO - Epoch(train) [27][10/63] lr: 1.0000e-04 eta: 23:07:19 time: 10.5895 data_time: 9.8200 memory: 27787 loss: 0.1212 loss_text: 0.0816 loss_kernel: 0.0397 2022/11/01 14:20:10 - mmengine - INFO - Epoch(train) [27][15/63] lr: 1.0000e-04 eta: 23:07:19 time: 0.9262 data_time: 0.1506 memory: 27787 loss: 0.1264 loss_text: 0.0858 loss_kernel: 0.0407 2022/11/01 14:20:14 - mmengine - INFO - Epoch(train) [27][20/63] lr: 1.0000e-04 eta: 22:44:01 time: 0.7879 data_time: 0.0229 memory: 27787 loss: 0.1236 loss_text: 0.0838 loss_kernel: 0.0398 2022/11/01 14:20:18 - mmengine - INFO - Epoch(train) [27][25/63] lr: 1.0000e-04 eta: 22:44:01 time: 0.7875 data_time: 0.0296 memory: 27787 loss: 0.1180 loss_text: 0.0801 loss_kernel: 0.0379 2022/11/01 14:20:22 - mmengine - INFO - Epoch(train) [27][30/63] lr: 1.0000e-04 eta: 22:21:55 time: 0.7931 data_time: 0.0193 memory: 27787 loss: 0.1234 loss_text: 0.0850 loss_kernel: 0.0384 2022/11/01 14:20:26 - mmengine - INFO - Epoch(train) [27][35/63] lr: 1.0000e-04 eta: 22:21:55 time: 0.8001 data_time: 0.0259 memory: 27787 loss: 0.1316 loss_text: 0.0898 loss_kernel: 0.0419 2022/11/01 14:20:30 - mmengine - INFO - Epoch(train) [27][40/63] lr: 1.0000e-04 eta: 22:00:51 time: 0.7910 data_time: 0.0229 memory: 27787 loss: 0.1387 loss_text: 0.0934 loss_kernel: 0.0453 2022/11/01 14:20:34 - mmengine - INFO - Epoch(train) [27][45/63] lr: 1.0000e-04 eta: 22:00:51 time: 0.8056 data_time: 0.0423 memory: 27787 loss: 0.1408 loss_text: 0.0976 loss_kernel: 0.0432 2022/11/01 14:20:38 - mmengine - INFO - Epoch(train) [27][50/63] lr: 1.0000e-04 eta: 21:41:07 time: 0.8166 data_time: 0.0509 memory: 27787 loss: 0.1357 loss_text: 0.0947 loss_kernel: 0.0410 2022/11/01 14:20:42 - mmengine - INFO - Epoch(train) [27][55/63] lr: 1.0000e-04 eta: 21:41:07 time: 0.7769 data_time: 0.0191 memory: 27787 loss: 0.1338 loss_text: 0.0926 loss_kernel: 0.0413 2022/11/01 14:20:46 - mmengine - INFO - Epoch(train) [27][60/63] lr: 1.0000e-04 eta: 21:21:46 time: 0.7803 data_time: 0.0271 memory: 27787 loss: 0.1336 loss_text: 0.0929 loss_kernel: 0.0407 2022/11/01 14:20:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:22:14 - mmengine - INFO - Epoch(train) [28][5/63] lr: 1.0000e-04 eta: 21:21:46 time: 8.8766 data_time: 8.1465 memory: 27787 loss: 0.1190 loss_text: 0.0822 loss_kernel: 0.0368 2022/11/01 14:22:20 - mmengine - INFO - Epoch(train) [28][10/63] lr: 1.0000e-04 eta: 22:46:30 time: 9.1568 data_time: 8.3725 memory: 27787 loss: 0.1207 loss_text: 0.0822 loss_kernel: 0.0386 2022/11/01 14:22:24 - mmengine - INFO - Epoch(train) [28][15/63] lr: 1.0000e-04 eta: 22:46:30 time: 1.0069 data_time: 0.2370 memory: 27787 loss: 0.1230 loss_text: 0.0838 loss_kernel: 0.0392 2022/11/01 14:22:28 - mmengine - INFO - Epoch(train) [28][20/63] lr: 1.0000e-04 eta: 22:26:45 time: 0.7876 data_time: 0.0230 memory: 27787 loss: 0.1253 loss_text: 0.0855 loss_kernel: 0.0398 2022/11/01 14:22:32 - mmengine - INFO - Epoch(train) [28][25/63] lr: 1.0000e-04 eta: 22:26:45 time: 0.8004 data_time: 0.0267 memory: 27787 loss: 0.1253 loss_text: 0.0836 loss_kernel: 0.0417 2022/11/01 14:22:36 - mmengine - INFO - Epoch(train) [28][30/63] lr: 1.0000e-04 eta: 22:07:56 time: 0.7934 data_time: 0.0220 memory: 27787 loss: 0.1207 loss_text: 0.0813 loss_kernel: 0.0394 2022/11/01 14:22:40 - mmengine - INFO - Epoch(train) [28][35/63] lr: 1.0000e-04 eta: 22:07:56 time: 0.8492 data_time: 0.0306 memory: 27787 loss: 0.1199 loss_text: 0.0813 loss_kernel: 0.0386 2022/11/01 14:22:44 - mmengine - INFO - Epoch(train) [28][40/63] lr: 1.0000e-04 eta: 21:50:56 time: 0.8782 data_time: 0.0253 memory: 27787 loss: 0.1216 loss_text: 0.0821 loss_kernel: 0.0395 2022/11/01 14:22:48 - mmengine - INFO - Epoch(train) [28][45/63] lr: 1.0000e-04 eta: 21:50:56 time: 0.8233 data_time: 0.0197 memory: 27787 loss: 0.1294 loss_text: 0.0876 loss_kernel: 0.0418 2022/11/01 14:22:53 - mmengine - INFO - Epoch(train) [28][50/63] lr: 1.0000e-04 eta: 21:33:54 time: 0.8197 data_time: 0.0279 memory: 27787 loss: 0.1403 loss_text: 0.0956 loss_kernel: 0.0447 2022/11/01 14:22:57 - mmengine - INFO - Epoch(train) [28][55/63] lr: 1.0000e-04 eta: 21:33:54 time: 0.8230 data_time: 0.0197 memory: 27787 loss: 0.1258 loss_text: 0.0860 loss_kernel: 0.0398 2022/11/01 14:23:00 - mmengine - INFO - Epoch(train) [28][60/63] lr: 1.0000e-04 eta: 21:17:13 time: 0.7910 data_time: 0.0154 memory: 27787 loss: 0.1231 loss_text: 0.0838 loss_kernel: 0.0393 2022/11/01 14:23:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:24:27 - mmengine - INFO - Epoch(train) [29][5/63] lr: 1.0000e-04 eta: 21:17:13 time: 8.8335 data_time: 8.1028 memory: 27787 loss: 0.1345 loss_text: 0.0923 loss_kernel: 0.0423 2022/11/01 14:24:31 - mmengine - INFO - Epoch(train) [29][10/63] lr: 1.0000e-04 eta: 22:28:19 time: 8.8914 data_time: 8.1191 memory: 27787 loss: 0.1502 loss_text: 0.1048 loss_kernel: 0.0454 2022/11/01 14:24:35 - mmengine - INFO - Epoch(train) [29][15/63] lr: 1.0000e-04 eta: 22:28:19 time: 0.8025 data_time: 0.0251 memory: 27787 loss: 0.1352 loss_text: 0.0924 loss_kernel: 0.0429 2022/11/01 14:24:39 - mmengine - INFO - Epoch(train) [29][20/63] lr: 1.0000e-04 eta: 22:11:21 time: 0.7966 data_time: 0.0233 memory: 27787 loss: 0.1215 loss_text: 0.0812 loss_kernel: 0.0403 2022/11/01 14:24:43 - mmengine - INFO - Epoch(train) [29][25/63] lr: 1.0000e-04 eta: 22:11:21 time: 0.7924 data_time: 0.0269 memory: 27787 loss: 0.1187 loss_text: 0.0783 loss_kernel: 0.0404 2022/11/01 14:24:49 - mmengine - INFO - Epoch(train) [29][30/63] lr: 1.0000e-04 eta: 21:56:34 time: 0.9351 data_time: 0.1677 memory: 27787 loss: 0.1129 loss_text: 0.0744 loss_kernel: 0.0385 2022/11/01 14:24:53 - mmengine - INFO - Epoch(train) [29][35/63] lr: 1.0000e-04 eta: 21:56:34 time: 0.9328 data_time: 0.1691 memory: 27787 loss: 0.1167 loss_text: 0.0788 loss_kernel: 0.0379 2022/11/01 14:24:57 - mmengine - INFO - Epoch(train) [29][40/63] lr: 1.0000e-04 eta: 21:40:40 time: 0.7858 data_time: 0.0211 memory: 27787 loss: 0.1251 loss_text: 0.0853 loss_kernel: 0.0398 2022/11/01 14:25:00 - mmengine - INFO - Epoch(train) [29][45/63] lr: 1.0000e-04 eta: 21:40:40 time: 0.7866 data_time: 0.0228 memory: 27787 loss: 0.1127 loss_text: 0.0746 loss_kernel: 0.0381 2022/11/01 14:25:04 - mmengine - INFO - Epoch(train) [29][50/63] lr: 1.0000e-04 eta: 21:25:16 time: 0.7790 data_time: 0.0227 memory: 27787 loss: 0.1044 loss_text: 0.0700 loss_kernel: 0.0343 2022/11/01 14:25:08 - mmengine - INFO - Epoch(train) [29][55/63] lr: 1.0000e-04 eta: 21:25:16 time: 0.7761 data_time: 0.0197 memory: 27787 loss: 0.1147 loss_text: 0.0773 loss_kernel: 0.0375 2022/11/01 14:25:12 - mmengine - INFO - Epoch(train) [29][60/63] lr: 1.0000e-04 eta: 21:10:25 time: 0.7794 data_time: 0.0205 memory: 27787 loss: 0.1342 loss_text: 0.0898 loss_kernel: 0.0444 2022/11/01 14:25:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:26:40 - mmengine - INFO - Epoch(train) [30][5/63] lr: 1.0000e-04 eta: 21:10:25 time: 8.8864 data_time: 8.1522 memory: 27787 loss: 0.1240 loss_text: 0.0849 loss_kernel: 0.0391 2022/11/01 14:26:44 - mmengine - INFO - Epoch(train) [30][10/63] lr: 1.0000e-04 eta: 22:14:23 time: 8.9572 data_time: 8.1813 memory: 27787 loss: 0.1350 loss_text: 0.0924 loss_kernel: 0.0426 2022/11/01 14:26:48 - mmengine - INFO - Epoch(train) [30][15/63] lr: 1.0000e-04 eta: 22:14:23 time: 0.7982 data_time: 0.0415 memory: 27787 loss: 0.1467 loss_text: 0.1008 loss_kernel: 0.0460 2022/11/01 14:26:51 - mmengine - INFO - Epoch(train) [30][20/63] lr: 1.0000e-04 eta: 21:59:13 time: 0.7768 data_time: 0.0172 memory: 27787 loss: 0.1332 loss_text: 0.0900 loss_kernel: 0.0432 2022/11/01 14:26:55 - mmengine - INFO - Epoch(train) [30][25/63] lr: 1.0000e-04 eta: 21:59:13 time: 0.7896 data_time: 0.0245 memory: 27787 loss: 0.1193 loss_text: 0.0790 loss_kernel: 0.0403 2022/11/01 14:26:59 - mmengine - INFO - Epoch(train) [30][30/63] lr: 1.0000e-04 eta: 21:44:43 time: 0.7923 data_time: 0.0220 memory: 27787 loss: 0.1209 loss_text: 0.0835 loss_kernel: 0.0374 2022/11/01 14:27:03 - mmengine - INFO - Epoch(train) [30][35/63] lr: 1.0000e-04 eta: 21:44:43 time: 0.7963 data_time: 0.0188 memory: 27787 loss: 0.1296 loss_text: 0.0891 loss_kernel: 0.0406 2022/11/01 14:27:07 - mmengine - INFO - Epoch(train) [30][40/63] lr: 1.0000e-04 eta: 21:30:40 time: 0.7910 data_time: 0.0197 memory: 27787 loss: 0.1269 loss_text: 0.0848 loss_kernel: 0.0421 2022/11/01 14:27:11 - mmengine - INFO - Epoch(train) [30][45/63] lr: 1.0000e-04 eta: 21:30:40 time: 0.7953 data_time: 0.0264 memory: 27787 loss: 0.1221 loss_text: 0.0844 loss_kernel: 0.0377 2022/11/01 14:27:15 - mmengine - INFO - Epoch(train) [30][50/63] lr: 1.0000e-04 eta: 21:17:02 time: 0.7877 data_time: 0.0246 memory: 27787 loss: 0.1336 loss_text: 0.0934 loss_kernel: 0.0401 2022/11/01 14:27:19 - mmengine - INFO - Epoch(train) [30][55/63] lr: 1.0000e-04 eta: 21:17:02 time: 0.7777 data_time: 0.0179 memory: 27787 loss: 0.1193 loss_text: 0.0812 loss_kernel: 0.0381 2022/11/01 14:27:23 - mmengine - INFO - Epoch(train) [30][60/63] lr: 1.0000e-04 eta: 21:03:52 time: 0.7897 data_time: 0.0179 memory: 27787 loss: 0.1146 loss_text: 0.0781 loss_kernel: 0.0365 2022/11/01 14:27:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:28:50 - mmengine - INFO - Epoch(train) [31][5/63] lr: 1.0000e-04 eta: 21:03:52 time: 8.8402 data_time: 8.0952 memory: 27787 loss: 0.1204 loss_text: 0.0810 loss_kernel: 0.0394 2022/11/01 14:28:54 - mmengine - INFO - Epoch(train) [31][10/63] lr: 1.0000e-04 eta: 22:00:51 time: 8.8905 data_time: 8.1088 memory: 27787 loss: 0.1154 loss_text: 0.0772 loss_kernel: 0.0383 2022/11/01 14:28:58 - mmengine - INFO - Epoch(train) [31][15/63] lr: 1.0000e-04 eta: 22:00:51 time: 0.7953 data_time: 0.0323 memory: 27787 loss: 0.1163 loss_text: 0.0777 loss_kernel: 0.0386 2022/11/01 14:29:02 - mmengine - INFO - Epoch(train) [31][20/63] lr: 1.0000e-04 eta: 21:47:32 time: 0.7993 data_time: 0.0339 memory: 27787 loss: 0.1120 loss_text: 0.0756 loss_kernel: 0.0364 2022/11/01 14:29:06 - mmengine - INFO - Epoch(train) [31][25/63] lr: 1.0000e-04 eta: 21:47:32 time: 0.7977 data_time: 0.0346 memory: 27787 loss: 0.1206 loss_text: 0.0818 loss_kernel: 0.0387 2022/11/01 14:29:10 - mmengine - INFO - Epoch(train) [31][30/63] lr: 1.0000e-04 eta: 21:34:34 time: 0.7959 data_time: 0.0225 memory: 27787 loss: 0.1297 loss_text: 0.0875 loss_kernel: 0.0422 2022/11/01 14:29:14 - mmengine - INFO - Epoch(train) [31][35/63] lr: 1.0000e-04 eta: 21:34:34 time: 0.8006 data_time: 0.0318 memory: 27787 loss: 0.1308 loss_text: 0.0871 loss_kernel: 0.0438 2022/11/01 14:29:18 - mmengine - INFO - Epoch(train) [31][40/63] lr: 1.0000e-04 eta: 21:21:53 time: 0.7829 data_time: 0.0269 memory: 27787 loss: 0.1296 loss_text: 0.0869 loss_kernel: 0.0427 2022/11/01 14:29:22 - mmengine - INFO - Epoch(train) [31][45/63] lr: 1.0000e-04 eta: 21:21:53 time: 0.7807 data_time: 0.0204 memory: 27787 loss: 0.1349 loss_text: 0.0928 loss_kernel: 0.0421 2022/11/01 14:29:26 - mmengine - INFO - Epoch(train) [31][50/63] lr: 1.0000e-04 eta: 21:09:34 time: 0.7844 data_time: 0.0237 memory: 27787 loss: 0.1366 loss_text: 0.0927 loss_kernel: 0.0439 2022/11/01 14:29:30 - mmengine - INFO - Epoch(train) [31][55/63] lr: 1.0000e-04 eta: 21:09:34 time: 0.7798 data_time: 0.0193 memory: 27787 loss: 0.1251 loss_text: 0.0837 loss_kernel: 0.0414 2022/11/01 14:29:33 - mmengine - INFO - Epoch(train) [31][60/63] lr: 1.0000e-04 eta: 20:57:38 time: 0.7863 data_time: 0.0232 memory: 27787 loss: 0.1241 loss_text: 0.0836 loss_kernel: 0.0405 2022/11/01 14:29:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:31:02 - mmengine - INFO - Epoch(train) [32][5/63] lr: 1.0000e-04 eta: 20:57:38 time: 9.0313 data_time: 8.2832 memory: 27787 loss: 0.1297 loss_text: 0.0872 loss_kernel: 0.0424 2022/11/01 14:31:06 - mmengine - INFO - Epoch(train) [32][10/63] lr: 1.0000e-04 eta: 21:51:02 time: 9.0756 data_time: 8.2844 memory: 27787 loss: 0.1175 loss_text: 0.0795 loss_kernel: 0.0380 2022/11/01 14:31:10 - mmengine - INFO - Epoch(train) [32][15/63] lr: 1.0000e-04 eta: 21:51:02 time: 0.7837 data_time: 0.0139 memory: 27787 loss: 0.1121 loss_text: 0.0745 loss_kernel: 0.0376 2022/11/01 14:31:14 - mmengine - INFO - Epoch(train) [32][20/63] lr: 1.0000e-04 eta: 21:38:52 time: 0.7853 data_time: 0.0206 memory: 27787 loss: 0.1124 loss_text: 0.0745 loss_kernel: 0.0380 2022/11/01 14:31:18 - mmengine - INFO - Epoch(train) [32][25/63] lr: 1.0000e-04 eta: 21:38:52 time: 0.7978 data_time: 0.0274 memory: 27787 loss: 0.1235 loss_text: 0.0832 loss_kernel: 0.0404 2022/11/01 14:31:22 - mmengine - INFO - Epoch(train) [32][30/63] lr: 1.0000e-04 eta: 21:27:05 time: 0.7921 data_time: 0.0195 memory: 27787 loss: 0.1253 loss_text: 0.0847 loss_kernel: 0.0406 2022/11/01 14:31:26 - mmengine - INFO - Epoch(train) [32][35/63] lr: 1.0000e-04 eta: 21:27:05 time: 0.8028 data_time: 0.0194 memory: 27787 loss: 0.1279 loss_text: 0.0859 loss_kernel: 0.0420 2022/11/01 14:31:30 - mmengine - INFO - Epoch(train) [32][40/63] lr: 1.0000e-04 eta: 21:15:39 time: 0.7964 data_time: 0.0204 memory: 27787 loss: 0.1356 loss_text: 0.0901 loss_kernel: 0.0455 2022/11/01 14:31:34 - mmengine - INFO - Epoch(train) [32][45/63] lr: 1.0000e-04 eta: 21:15:39 time: 0.7923 data_time: 0.0251 memory: 27787 loss: 0.1287 loss_text: 0.0849 loss_kernel: 0.0438 2022/11/01 14:31:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:31:38 - mmengine - INFO - Epoch(train) [32][50/63] lr: 1.0000e-04 eta: 21:04:35 time: 0.8035 data_time: 0.0266 memory: 27787 loss: 0.1274 loss_text: 0.0852 loss_kernel: 0.0422 2022/11/01 14:31:42 - mmengine - INFO - Epoch(train) [32][55/63] lr: 1.0000e-04 eta: 21:04:35 time: 0.7892 data_time: 0.0186 memory: 27787 loss: 0.1260 loss_text: 0.0843 loss_kernel: 0.0417 2022/11/01 14:31:46 - mmengine - INFO - Epoch(train) [32][60/63] lr: 1.0000e-04 eta: 20:53:38 time: 0.7822 data_time: 0.0191 memory: 27787 loss: 0.1198 loss_text: 0.0797 loss_kernel: 0.0401 2022/11/01 14:31:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:33:13 - mmengine - INFO - Epoch(train) [33][5/63] lr: 1.0000e-04 eta: 20:53:38 time: 8.8187 data_time: 8.0705 memory: 27787 loss: 0.1171 loss_text: 0.0785 loss_kernel: 0.0385 2022/11/01 14:33:17 - mmengine - INFO - Epoch(train) [33][10/63] lr: 1.0000e-04 eta: 21:40:52 time: 8.8592 data_time: 8.0783 memory: 27787 loss: 0.1220 loss_text: 0.0816 loss_kernel: 0.0403 2022/11/01 14:33:21 - mmengine - INFO - Epoch(train) [33][15/63] lr: 1.0000e-04 eta: 21:40:52 time: 0.7995 data_time: 0.0278 memory: 27787 loss: 0.1115 loss_text: 0.0746 loss_kernel: 0.0369 2022/11/01 14:33:25 - mmengine - INFO - Epoch(train) [33][20/63] lr: 1.0000e-04 eta: 21:29:58 time: 0.8092 data_time: 0.0309 memory: 27787 loss: 0.1106 loss_text: 0.0740 loss_kernel: 0.0366 2022/11/01 14:33:29 - mmengine - INFO - Epoch(train) [33][25/63] lr: 1.0000e-04 eta: 21:29:58 time: 0.8076 data_time: 0.0266 memory: 27787 loss: 0.1156 loss_text: 0.0771 loss_kernel: 0.0385 2022/11/01 14:33:33 - mmengine - INFO - Epoch(train) [33][30/63] lr: 1.0000e-04 eta: 21:19:14 time: 0.7964 data_time: 0.0215 memory: 27787 loss: 0.1207 loss_text: 0.0807 loss_kernel: 0.0400 2022/11/01 14:33:37 - mmengine - INFO - Epoch(train) [33][35/63] lr: 1.0000e-04 eta: 21:19:14 time: 0.8045 data_time: 0.0301 memory: 27787 loss: 0.1266 loss_text: 0.0842 loss_kernel: 0.0424 2022/11/01 14:33:41 - mmengine - INFO - Epoch(train) [33][40/63] lr: 1.0000e-04 eta: 21:08:49 time: 0.8034 data_time: 0.0229 memory: 27787 loss: 0.1179 loss_text: 0.0791 loss_kernel: 0.0388 2022/11/01 14:33:45 - mmengine - INFO - Epoch(train) [33][45/63] lr: 1.0000e-04 eta: 21:08:49 time: 0.8056 data_time: 0.0200 memory: 27787 loss: 0.1050 loss_text: 0.0719 loss_kernel: 0.0331 2022/11/01 14:33:49 - mmengine - INFO - Epoch(train) [33][50/63] lr: 1.0000e-04 eta: 20:58:38 time: 0.7994 data_time: 0.0248 memory: 27787 loss: 0.1219 loss_text: 0.0823 loss_kernel: 0.0396 2022/11/01 14:33:53 - mmengine - INFO - Epoch(train) [33][55/63] lr: 1.0000e-04 eta: 20:58:38 time: 0.7859 data_time: 0.0207 memory: 27787 loss: 0.1232 loss_text: 0.0815 loss_kernel: 0.0417 2022/11/01 14:33:57 - mmengine - INFO - Epoch(train) [33][60/63] lr: 1.0000e-04 eta: 20:48:41 time: 0.7989 data_time: 0.0236 memory: 27787 loss: 0.1074 loss_text: 0.0698 loss_kernel: 0.0376 2022/11/01 14:33:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:35:24 - mmengine - INFO - Epoch(train) [34][5/63] lr: 1.0000e-04 eta: 20:48:41 time: 8.9305 data_time: 8.1841 memory: 27787 loss: 0.1074 loss_text: 0.0722 loss_kernel: 0.0351 2022/11/01 14:35:29 - mmengine - INFO - Epoch(train) [34][10/63] lr: 1.0000e-04 eta: 21:33:14 time: 8.9945 data_time: 8.2015 memory: 27787 loss: 0.1237 loss_text: 0.0836 loss_kernel: 0.0401 2022/11/01 14:35:32 - mmengine - INFO - Epoch(train) [34][15/63] lr: 1.0000e-04 eta: 21:33:14 time: 0.8095 data_time: 0.0284 memory: 27787 loss: 0.1530 loss_text: 0.1075 loss_kernel: 0.0455 2022/11/01 14:35:37 - mmengine - INFO - Epoch(train) [34][20/63] lr: 1.0000e-04 eta: 21:23:07 time: 0.7958 data_time: 0.0218 memory: 27787 loss: 0.1475 loss_text: 0.1040 loss_kernel: 0.0435 2022/11/01 14:35:41 - mmengine - INFO - Epoch(train) [34][25/63] lr: 1.0000e-04 eta: 21:23:07 time: 0.8039 data_time: 0.0335 memory: 27787 loss: 0.1473 loss_text: 0.0991 loss_kernel: 0.0482 2022/11/01 14:35:45 - mmengine - INFO - Epoch(train) [34][30/63] lr: 1.0000e-04 eta: 21:13:15 time: 0.7997 data_time: 0.0275 memory: 27787 loss: 0.1616 loss_text: 0.1125 loss_kernel: 0.0491 2022/11/01 14:35:49 - mmengine - INFO - Epoch(train) [34][35/63] lr: 1.0000e-04 eta: 21:13:15 time: 0.8189 data_time: 0.0354 memory: 27787 loss: 0.1578 loss_text: 0.1099 loss_kernel: 0.0478 2022/11/01 14:35:53 - mmengine - INFO - Epoch(train) [34][40/63] lr: 1.0000e-04 eta: 21:03:42 time: 0.8129 data_time: 0.0264 memory: 27787 loss: 0.1379 loss_text: 0.0931 loss_kernel: 0.0448 2022/11/01 14:35:57 - mmengine - INFO - Epoch(train) [34][45/63] lr: 1.0000e-04 eta: 21:03:42 time: 0.8032 data_time: 0.0187 memory: 27787 loss: 0.1262 loss_text: 0.0852 loss_kernel: 0.0410 2022/11/01 14:36:01 - mmengine - INFO - Epoch(train) [34][50/63] lr: 1.0000e-04 eta: 20:54:21 time: 0.8093 data_time: 0.0320 memory: 27787 loss: 0.1234 loss_text: 0.0834 loss_kernel: 0.0401 2022/11/01 14:36:05 - mmengine - INFO - Epoch(train) [34][55/63] lr: 1.0000e-04 eta: 20:54:21 time: 0.7985 data_time: 0.0279 memory: 27787 loss: 0.1188 loss_text: 0.0806 loss_kernel: 0.0383 2022/11/01 14:36:09 - mmengine - INFO - Epoch(train) [34][60/63] lr: 1.0000e-04 eta: 20:45:04 time: 0.7900 data_time: 0.0146 memory: 27787 loss: 0.1247 loss_text: 0.0840 loss_kernel: 0.0407 2022/11/01 14:36:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:37:36 - mmengine - INFO - Epoch(train) [35][5/63] lr: 1.0000e-04 eta: 20:45:04 time: 8.8952 data_time: 8.1422 memory: 27787 loss: 0.1105 loss_text: 0.0727 loss_kernel: 0.0378 2022/11/01 14:37:40 - mmengine - INFO - Epoch(train) [35][10/63] lr: 1.0000e-04 eta: 21:26:05 time: 8.9491 data_time: 8.1664 memory: 27787 loss: 0.1101 loss_text: 0.0735 loss_kernel: 0.0366 2022/11/01 14:37:44 - mmengine - INFO - Epoch(train) [35][15/63] lr: 1.0000e-04 eta: 21:26:05 time: 0.8025 data_time: 0.0312 memory: 27787 loss: 0.1149 loss_text: 0.0780 loss_kernel: 0.0369 2022/11/01 14:37:48 - mmengine - INFO - Epoch(train) [35][20/63] lr: 1.0000e-04 eta: 21:16:44 time: 0.7991 data_time: 0.0220 memory: 27787 loss: 0.1194 loss_text: 0.0815 loss_kernel: 0.0379 2022/11/01 14:37:52 - mmengine - INFO - Epoch(train) [35][25/63] lr: 1.0000e-04 eta: 21:16:44 time: 0.8074 data_time: 0.0283 memory: 27787 loss: 0.1137 loss_text: 0.0761 loss_kernel: 0.0376 2022/11/01 14:37:56 - mmengine - INFO - Epoch(train) [35][30/63] lr: 1.0000e-04 eta: 21:07:37 time: 0.8057 data_time: 0.0242 memory: 27787 loss: 0.1065 loss_text: 0.0704 loss_kernel: 0.0361 2022/11/01 14:38:00 - mmengine - INFO - Epoch(train) [35][35/63] lr: 1.0000e-04 eta: 21:07:37 time: 0.8119 data_time: 0.0324 memory: 27787 loss: 0.1206 loss_text: 0.0825 loss_kernel: 0.0381 2022/11/01 14:38:04 - mmengine - INFO - Epoch(train) [35][40/63] lr: 1.0000e-04 eta: 20:58:40 time: 0.8000 data_time: 0.0219 memory: 27787 loss: 0.1205 loss_text: 0.0805 loss_kernel: 0.0400 2022/11/01 14:38:08 - mmengine - INFO - Epoch(train) [35][45/63] lr: 1.0000e-04 eta: 20:58:40 time: 0.7916 data_time: 0.0202 memory: 27787 loss: 0.1125 loss_text: 0.0744 loss_kernel: 0.0381 2022/11/01 14:38:13 - mmengine - INFO - Epoch(train) [35][50/63] lr: 1.0000e-04 eta: 20:50:17 time: 0.8586 data_time: 0.0840 memory: 27787 loss: 0.1246 loss_text: 0.0847 loss_kernel: 0.0399 2022/11/01 14:38:17 - mmengine - INFO - Epoch(train) [35][55/63] lr: 1.0000e-04 eta: 20:50:17 time: 0.8463 data_time: 0.0707 memory: 27787 loss: 0.1300 loss_text: 0.0871 loss_kernel: 0.0429 2022/11/01 14:38:21 - mmengine - INFO - Epoch(train) [35][60/63] lr: 1.0000e-04 eta: 20:41:34 time: 0.7796 data_time: 0.0147 memory: 27787 loss: 0.1280 loss_text: 0.0865 loss_kernel: 0.0415 2022/11/01 14:38:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:39:48 - mmengine - INFO - Epoch(train) [36][5/63] lr: 1.0000e-04 eta: 20:41:34 time: 8.9036 data_time: 8.1650 memory: 27787 loss: 0.1098 loss_text: 0.0731 loss_kernel: 0.0367 2022/11/01 14:39:53 - mmengine - INFO - Epoch(train) [36][10/63] lr: 1.0000e-04 eta: 21:20:01 time: 8.9838 data_time: 8.1976 memory: 27787 loss: 0.1178 loss_text: 0.0806 loss_kernel: 0.0372 2022/11/01 14:39:56 - mmengine - INFO - Epoch(train) [36][15/63] lr: 1.0000e-04 eta: 21:20:01 time: 0.8186 data_time: 0.0375 memory: 27787 loss: 0.1149 loss_text: 0.0776 loss_kernel: 0.0374 2022/11/01 14:40:01 - mmengine - INFO - Epoch(train) [36][20/63] lr: 1.0000e-04 eta: 21:11:22 time: 0.8085 data_time: 0.0191 memory: 27787 loss: 0.1102 loss_text: 0.0733 loss_kernel: 0.0369 2022/11/01 14:40:05 - mmengine - INFO - Epoch(train) [36][25/63] lr: 1.0000e-04 eta: 21:11:22 time: 0.8202 data_time: 0.0309 memory: 27787 loss: 0.1170 loss_text: 0.0795 loss_kernel: 0.0375 2022/11/01 14:40:09 - mmengine - INFO - Epoch(train) [36][30/63] lr: 1.0000e-04 eta: 21:02:50 time: 0.8008 data_time: 0.0188 memory: 27787 loss: 0.1346 loss_text: 0.0903 loss_kernel: 0.0443 2022/11/01 14:40:13 - mmengine - INFO - Epoch(train) [36][35/63] lr: 1.0000e-04 eta: 21:02:50 time: 0.7968 data_time: 0.0194 memory: 27787 loss: 0.1323 loss_text: 0.0891 loss_kernel: 0.0432 2022/11/01 14:40:17 - mmengine - INFO - Epoch(train) [36][40/63] lr: 1.0000e-04 eta: 20:54:32 time: 0.8092 data_time: 0.0244 memory: 27787 loss: 0.1111 loss_text: 0.0759 loss_kernel: 0.0352 2022/11/01 14:40:21 - mmengine - INFO - Epoch(train) [36][45/63] lr: 1.0000e-04 eta: 20:54:32 time: 0.8106 data_time: 0.0231 memory: 27787 loss: 0.1084 loss_text: 0.0720 loss_kernel: 0.0363 2022/11/01 14:40:25 - mmengine - INFO - Epoch(train) [36][50/63] lr: 1.0000e-04 eta: 20:46:20 time: 0.7992 data_time: 0.0265 memory: 27787 loss: 0.1269 loss_text: 0.0864 loss_kernel: 0.0404 2022/11/01 14:40:29 - mmengine - INFO - Epoch(train) [36][55/63] lr: 1.0000e-04 eta: 20:46:20 time: 0.7857 data_time: 0.0190 memory: 27787 loss: 0.1292 loss_text: 0.0885 loss_kernel: 0.0407 2022/11/01 14:40:32 - mmengine - INFO - Epoch(train) [36][60/63] lr: 1.0000e-04 eta: 20:38:11 time: 0.7789 data_time: 0.0156 memory: 27787 loss: 0.1094 loss_text: 0.0725 loss_kernel: 0.0369 2022/11/01 14:40:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:42:00 - mmengine - INFO - Epoch(train) [37][5/63] lr: 1.0000e-04 eta: 20:38:11 time: 8.8724 data_time: 8.1455 memory: 27787 loss: 0.1047 loss_text: 0.0692 loss_kernel: 0.0355 2022/11/01 14:42:04 - mmengine - INFO - Epoch(train) [37][10/63] lr: 1.0000e-04 eta: 21:13:53 time: 8.9357 data_time: 8.1551 memory: 27787 loss: 0.1132 loss_text: 0.0754 loss_kernel: 0.0377 2022/11/01 14:42:08 - mmengine - INFO - Epoch(train) [37][15/63] lr: 1.0000e-04 eta: 21:13:53 time: 0.8035 data_time: 0.0253 memory: 27787 loss: 0.1033 loss_text: 0.0672 loss_kernel: 0.0361 2022/11/01 14:42:12 - mmengine - INFO - Epoch(train) [37][20/63] lr: 1.0000e-04 eta: 21:05:42 time: 0.7928 data_time: 0.0301 memory: 27787 loss: 0.1164 loss_text: 0.0761 loss_kernel: 0.0403 2022/11/01 14:42:16 - mmengine - INFO - Epoch(train) [37][25/63] lr: 1.0000e-04 eta: 21:05:42 time: 0.7905 data_time: 0.0318 memory: 27787 loss: 0.1284 loss_text: 0.0860 loss_kernel: 0.0424 2022/11/01 14:42:20 - mmengine - INFO - Epoch(train) [37][30/63] lr: 1.0000e-04 eta: 20:57:46 time: 0.8103 data_time: 0.0439 memory: 27787 loss: 0.1107 loss_text: 0.0743 loss_kernel: 0.0365 2022/11/01 14:42:24 - mmengine - INFO - Epoch(train) [37][35/63] lr: 1.0000e-04 eta: 20:57:46 time: 0.8228 data_time: 0.0443 memory: 27787 loss: 0.1037 loss_text: 0.0687 loss_kernel: 0.0350 2022/11/01 14:42:28 - mmengine - INFO - Epoch(train) [37][40/63] lr: 1.0000e-04 eta: 20:49:56 time: 0.7994 data_time: 0.0201 memory: 27787 loss: 0.1086 loss_text: 0.0712 loss_kernel: 0.0374 2022/11/01 14:42:32 - mmengine - INFO - Epoch(train) [37][45/63] lr: 1.0000e-04 eta: 20:49:56 time: 0.7940 data_time: 0.0204 memory: 27787 loss: 0.1196 loss_text: 0.0804 loss_kernel: 0.0392 2022/11/01 14:42:36 - mmengine - INFO - Epoch(train) [37][50/63] lr: 1.0000e-04 eta: 20:42:14 time: 0.7985 data_time: 0.0285 memory: 27787 loss: 0.1150 loss_text: 0.0778 loss_kernel: 0.0371 2022/11/01 14:42:40 - mmengine - INFO - Epoch(train) [37][55/63] lr: 1.0000e-04 eta: 20:42:14 time: 0.7837 data_time: 0.0252 memory: 27787 loss: 0.1086 loss_text: 0.0725 loss_kernel: 0.0362 2022/11/01 14:42:44 - mmengine - INFO - Epoch(train) [37][60/63] lr: 1.0000e-04 eta: 20:34:31 time: 0.7711 data_time: 0.0179 memory: 27787 loss: 0.1274 loss_text: 0.0862 loss_kernel: 0.0412 2022/11/01 14:42:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:44:11 - mmengine - INFO - Epoch(train) [38][5/63] lr: 1.0000e-04 eta: 20:34:31 time: 8.8917 data_time: 8.1402 memory: 27787 loss: 0.1473 loss_text: 0.1015 loss_kernel: 0.0458 2022/11/01 14:44:15 - mmengine - INFO - Epoch(train) [38][10/63] lr: 1.0000e-04 eta: 21:08:04 time: 8.9332 data_time: 8.1541 memory: 27787 loss: 0.1423 loss_text: 0.0970 loss_kernel: 0.0453 2022/11/01 14:44:19 - mmengine - INFO - Epoch(train) [38][15/63] lr: 1.0000e-04 eta: 21:08:04 time: 0.8001 data_time: 0.0285 memory: 27787 loss: 0.1281 loss_text: 0.0886 loss_kernel: 0.0395 2022/11/01 14:44:23 - mmengine - INFO - Epoch(train) [38][20/63] lr: 1.0000e-04 eta: 21:00:31 time: 0.8173 data_time: 0.0343 memory: 27787 loss: 0.1396 loss_text: 0.0975 loss_kernel: 0.0421 2022/11/01 14:44:27 - mmengine - INFO - Epoch(train) [38][25/63] lr: 1.0000e-04 eta: 21:00:31 time: 0.8154 data_time: 0.0322 memory: 27787 loss: 0.1343 loss_text: 0.0931 loss_kernel: 0.0412 2022/11/01 14:44:31 - mmengine - INFO - Epoch(train) [38][30/63] lr: 1.0000e-04 eta: 20:53:01 time: 0.8017 data_time: 0.0219 memory: 27787 loss: 0.1226 loss_text: 0.0851 loss_kernel: 0.0374 2022/11/01 14:44:35 - mmengine - INFO - Epoch(train) [38][35/63] lr: 1.0000e-04 eta: 20:53:01 time: 0.8109 data_time: 0.0233 memory: 27787 loss: 0.1247 loss_text: 0.0862 loss_kernel: 0.0386 2022/11/01 14:44:39 - mmengine - INFO - Epoch(train) [38][40/63] lr: 1.0000e-04 eta: 20:45:40 time: 0.8058 data_time: 0.0201 memory: 27787 loss: 0.1248 loss_text: 0.0849 loss_kernel: 0.0399 2022/11/01 14:44:43 - mmengine - INFO - Epoch(train) [38][45/63] lr: 1.0000e-04 eta: 20:45:40 time: 0.8069 data_time: 0.0289 memory: 27787 loss: 0.1315 loss_text: 0.0883 loss_kernel: 0.0431 2022/11/01 14:44:47 - mmengine - INFO - Epoch(train) [38][50/63] lr: 1.0000e-04 eta: 20:38:25 time: 0.8000 data_time: 0.0258 memory: 27787 loss: 0.1327 loss_text: 0.0888 loss_kernel: 0.0439 2022/11/01 14:44:51 - mmengine - INFO - Epoch(train) [38][55/63] lr: 1.0000e-04 eta: 20:38:25 time: 0.7881 data_time: 0.0208 memory: 27787 loss: 0.1209 loss_text: 0.0803 loss_kernel: 0.0406 2022/11/01 14:44:55 - mmengine - INFO - Epoch(train) [38][60/63] lr: 1.0000e-04 eta: 20:31:15 time: 0.7891 data_time: 0.0237 memory: 27787 loss: 0.1305 loss_text: 0.0873 loss_kernel: 0.0432 2022/11/01 14:44:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:46:23 - mmengine - INFO - Epoch(train) [39][5/63] lr: 1.0000e-04 eta: 20:31:15 time: 8.9070 data_time: 8.1632 memory: 27787 loss: 0.1035 loss_text: 0.0689 loss_kernel: 0.0346 2022/11/01 14:46:27 - mmengine - INFO - Epoch(train) [39][10/63] lr: 1.0000e-04 eta: 21:03:04 time: 8.9724 data_time: 8.1792 memory: 27787 loss: 0.1096 loss_text: 0.0739 loss_kernel: 0.0357 2022/11/01 14:46:31 - mmengine - INFO - Epoch(train) [39][15/63] lr: 1.0000e-04 eta: 21:03:04 time: 0.8135 data_time: 0.0293 memory: 27787 loss: 0.1076 loss_text: 0.0717 loss_kernel: 0.0359 2022/11/01 14:46:35 - mmengine - INFO - Epoch(train) [39][20/63] lr: 1.0000e-04 eta: 20:55:54 time: 0.8080 data_time: 0.0201 memory: 27787 loss: 0.1092 loss_text: 0.0708 loss_kernel: 0.0385 2022/11/01 14:46:39 - mmengine - INFO - Epoch(train) [39][25/63] lr: 1.0000e-04 eta: 20:55:54 time: 0.8255 data_time: 0.0302 memory: 27787 loss: 0.1156 loss_text: 0.0762 loss_kernel: 0.0394 2022/11/01 14:46:43 - mmengine - INFO - Epoch(train) [39][30/63] lr: 1.0000e-04 eta: 20:48:50 time: 0.8036 data_time: 0.0198 memory: 27787 loss: 0.1201 loss_text: 0.0816 loss_kernel: 0.0385 2022/11/01 14:46:47 - mmengine - INFO - Epoch(train) [39][35/63] lr: 1.0000e-04 eta: 20:48:50 time: 0.7967 data_time: 0.0195 memory: 27787 loss: 0.1321 loss_text: 0.0906 loss_kernel: 0.0415 2022/11/01 14:46:51 - mmengine - INFO - Epoch(train) [39][40/63] lr: 1.0000e-04 eta: 20:41:51 time: 0.7992 data_time: 0.0222 memory: 27787 loss: 0.1149 loss_text: 0.0771 loss_kernel: 0.0378 2022/11/01 14:46:55 - mmengine - INFO - Epoch(train) [39][45/63] lr: 1.0000e-04 eta: 20:41:51 time: 0.8015 data_time: 0.0205 memory: 27787 loss: 0.1106 loss_text: 0.0727 loss_kernel: 0.0378 2022/11/01 14:46:59 - mmengine - INFO - Epoch(train) [39][50/63] lr: 1.0000e-04 eta: 20:35:03 time: 0.8109 data_time: 0.0318 memory: 27787 loss: 0.1122 loss_text: 0.0746 loss_kernel: 0.0377 2022/11/01 14:47:03 - mmengine - INFO - Epoch(train) [39][55/63] lr: 1.0000e-04 eta: 20:35:03 time: 0.7957 data_time: 0.0241 memory: 27787 loss: 0.1065 loss_text: 0.0724 loss_kernel: 0.0341 2022/11/01 14:47:07 - mmengine - INFO - Epoch(train) [39][60/63] lr: 1.0000e-04 eta: 20:28:13 time: 0.7816 data_time: 0.0160 memory: 27787 loss: 0.1126 loss_text: 0.0752 loss_kernel: 0.0374 2022/11/01 14:47:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:48:34 - mmengine - INFO - Epoch(train) [40][5/63] lr: 1.0000e-04 eta: 20:28:13 time: 8.8558 data_time: 8.1077 memory: 27787 loss: 0.1029 loss_text: 0.0672 loss_kernel: 0.0357 2022/11/01 14:48:38 - mmengine - INFO - Epoch(train) [40][10/63] lr: 1.0000e-04 eta: 20:58:01 time: 8.9108 data_time: 8.1241 memory: 27787 loss: 0.1049 loss_text: 0.0693 loss_kernel: 0.0356 2022/11/01 14:48:42 - mmengine - INFO - Epoch(train) [40][15/63] lr: 1.0000e-04 eta: 20:58:01 time: 0.8095 data_time: 0.0302 memory: 27787 loss: 0.1010 loss_text: 0.0662 loss_kernel: 0.0348 2022/11/01 14:48:47 - mmengine - INFO - Epoch(train) [40][20/63] lr: 1.0000e-04 eta: 20:51:20 time: 0.8286 data_time: 0.0312 memory: 27787 loss: 0.0958 loss_text: 0.0624 loss_kernel: 0.0333 2022/11/01 14:48:51 - mmengine - INFO - Epoch(train) [40][25/63] lr: 1.0000e-04 eta: 20:51:20 time: 0.8346 data_time: 0.0349 memory: 27787 loss: 0.0995 loss_text: 0.0659 loss_kernel: 0.0336 2022/11/01 14:48:55 - mmengine - INFO - Epoch(train) [40][30/63] lr: 1.0000e-04 eta: 20:44:37 time: 0.7976 data_time: 0.0211 memory: 27787 loss: 0.1138 loss_text: 0.0753 loss_kernel: 0.0384 2022/11/01 14:48:59 - mmengine - INFO - Epoch(train) [40][35/63] lr: 1.0000e-04 eta: 20:44:37 time: 0.7977 data_time: 0.0281 memory: 27787 loss: 0.1278 loss_text: 0.0862 loss_kernel: 0.0416 2022/11/01 14:49:03 - mmengine - INFO - Epoch(train) [40][40/63] lr: 1.0000e-04 eta: 20:38:01 time: 0.8029 data_time: 0.0224 memory: 27787 loss: 0.1269 loss_text: 0.0861 loss_kernel: 0.0408 2022/11/01 14:49:07 - mmengine - INFO - Epoch(train) [40][45/63] lr: 1.0000e-04 eta: 20:38:01 time: 0.8023 data_time: 0.0257 memory: 27787 loss: 0.1286 loss_text: 0.0855 loss_kernel: 0.0431 2022/11/01 14:49:11 - mmengine - INFO - Epoch(train) [40][50/63] lr: 1.0000e-04 eta: 20:31:31 time: 0.7999 data_time: 0.0338 memory: 27787 loss: 0.1159 loss_text: 0.0773 loss_kernel: 0.0386 2022/11/01 14:49:14 - mmengine - INFO - Epoch(train) [40][55/63] lr: 1.0000e-04 eta: 20:31:31 time: 0.7863 data_time: 0.0182 memory: 27787 loss: 0.1070 loss_text: 0.0712 loss_kernel: 0.0358 2022/11/01 14:49:19 - mmengine - INFO - Epoch(train) [40][60/63] lr: 1.0000e-04 eta: 20:25:06 time: 0.7953 data_time: 0.0190 memory: 27787 loss: 0.1104 loss_text: 0.0719 loss_kernel: 0.0385 2022/11/01 14:49:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:49:21 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/11/01 14:50:19 - mmengine - INFO - Epoch(val) [40][5/500] eta: 20:25:06 time: 10.6548 data_time: 4.6499 memory: 34633 2022/11/01 14:50:42 - mmengine - INFO - Epoch(val) [40][10/500] eta: 1:02:46 time: 7.6870 data_time: 2.3262 memory: 34638 2022/11/01 14:51:05 - mmengine - INFO - Epoch(val) [40][15/500] eta: 1:02:46 time: 4.6067 data_time: 0.0028 memory: 34591 2022/11/01 14:51:12 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:24:01 time: 3.0030 data_time: 0.0027 memory: 34565 2022/11/01 14:51:20 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:24:01 time: 1.5006 data_time: 0.0023 memory: 34575 2022/11/01 14:51:27 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:11:39 time: 1.4889 data_time: 0.0021 memory: 34570 2022/11/01 14:51:28 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:11:39 time: 0.7697 data_time: 0.0020 memory: 1705 2022/11/01 14:51:35 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:05:57 time: 0.7765 data_time: 0.0020 memory: 34591 2022/11/01 14:51:35 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:05:57 time: 0.7723 data_time: 0.0020 memory: 2082 2022/11/01 14:51:50 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:11:18 time: 1.5075 data_time: 0.0020 memory: 34601 2022/11/01 14:52:05 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:11:18 time: 3.0000 data_time: 0.0020 memory: 34596 2022/11/01 14:52:06 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:11:15 time: 1.5361 data_time: 0.0019 memory: 1705 2022/11/01 14:52:13 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:11:15 time: 0.7698 data_time: 0.0020 memory: 34528 2022/11/01 14:52:13 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:05:29 time: 0.7674 data_time: 0.0020 memory: 2082 2022/11/01 14:52:21 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:05:29 time: 0.7703 data_time: 0.0019 memory: 34544 2022/11/01 14:52:21 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:05:23 time: 0.7699 data_time: 0.0020 memory: 1705 2022/11/01 14:52:43 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:05:23 time: 2.2381 data_time: 0.0020 memory: 34565 2022/11/01 14:52:51 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:20:26 time: 2.9912 data_time: 0.0020 memory: 34623 2022/11/01 14:53:13 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:20:26 time: 2.9915 data_time: 0.0020 memory: 34559 2022/11/01 14:53:13 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:14:55 time: 2.2382 data_time: 0.0019 memory: 2082 2022/11/01 14:53:13 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:14:55 time: 0.0400 data_time: 0.0019 memory: 1705 2022/11/01 14:53:29 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:09:55 time: 1.5265 data_time: 0.0021 memory: 34617 2022/11/01 14:53:29 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:09:55 time: 1.5266 data_time: 0.0023 memory: 1705 2022/11/01 14:53:29 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:18 time: 0.0476 data_time: 0.0021 memory: 1705 2022/11/01 14:53:29 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:18 time: 0.0562 data_time: 0.0019 memory: 2082 2022/11/01 14:53:29 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:00:17 time: 0.0467 data_time: 0.0019 memory: 1705 2022/11/01 14:53:30 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:00:17 time: 0.0393 data_time: 0.0018 memory: 1856 2022/11/01 14:53:30 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:15 time: 0.0441 data_time: 0.0018 memory: 1705 2022/11/01 14:53:45 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:15 time: 1.5163 data_time: 0.0020 memory: 34633 2022/11/01 14:53:45 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:08:50 time: 1.5151 data_time: 0.0022 memory: 1705 2022/11/01 14:53:53 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:08:50 time: 0.7771 data_time: 0.0021 memory: 34596 2022/11/01 14:53:53 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:04:24 time: 0.7766 data_time: 0.0019 memory: 2082 2022/11/01 14:53:53 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:04:24 time: 0.0414 data_time: 0.0019 memory: 1781 2022/11/01 14:54:01 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:04:15 time: 0.7747 data_time: 0.0022 memory: 34601 2022/11/01 14:54:01 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:04:15 time: 0.7741 data_time: 0.0022 memory: 2082 2022/11/01 14:54:01 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:12 time: 0.0404 data_time: 0.0019 memory: 2082 2022/11/01 14:54:01 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:12 time: 0.0386 data_time: 0.0018 memory: 1705 2022/11/01 14:54:01 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:00:12 time: 0.0388 data_time: 0.0018 memory: 1818 2022/11/01 14:54:02 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:00:12 time: 0.0379 data_time: 0.0018 memory: 1781 2022/11/01 14:54:02 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:00:15 time: 0.0519 data_time: 0.0174 memory: 1781 2022/11/01 14:54:09 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:00:15 time: 0.7705 data_time: 0.0175 memory: 34512 2022/11/01 14:54:09 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:03:39 time: 0.7583 data_time: 0.0019 memory: 2082 2022/11/01 14:54:10 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:03:39 time: 0.0409 data_time: 0.0018 memory: 1705 2022/11/01 14:54:17 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:03:32 time: 0.7587 data_time: 0.0018 memory: 34533 2022/11/01 14:54:17 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:03:32 time: 0.7613 data_time: 0.0018 memory: 2082 2022/11/01 14:54:25 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:03:30 time: 0.7808 data_time: 0.0018 memory: 34575 2022/11/01 14:54:25 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:03:30 time: 0.7818 data_time: 0.0019 memory: 2082 2022/11/01 14:54:25 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:11 time: 0.0455 data_time: 0.0018 memory: 2082 2022/11/01 14:54:26 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:11 time: 0.0444 data_time: 0.0019 memory: 2082 2022/11/01 14:54:26 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:09 time: 0.0400 data_time: 0.0018 memory: 1705 2022/11/01 14:54:41 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:09 time: 1.5316 data_time: 0.0019 memory: 34580 2022/11/01 14:54:41 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:06:07 time: 1.5319 data_time: 0.0019 memory: 1705 2022/11/01 14:55:04 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:06:07 time: 2.3253 data_time: 0.0062 memory: 34628 2022/11/01 14:55:04 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:08:58 time: 2.3431 data_time: 0.0125 memory: 1931 2022/11/01 14:55:05 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:08:58 time: 0.0787 data_time: 0.0109 memory: 2082 2022/11/01 14:55:05 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:00:17 time: 0.0774 data_time: 0.0091 memory: 2007 2022/11/01 14:55:06 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:00:17 time: 0.0710 data_time: 0.0092 memory: 1705 2022/11/01 14:55:14 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:02:55 time: 0.8357 data_time: 0.0081 memory: 34612 2022/11/01 14:55:14 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:02:55 time: 0.8369 data_time: 0.0078 memory: 1818 2022/11/01 14:55:14 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:15 time: 0.0791 data_time: 0.0104 memory: 1743 2022/11/01 14:55:15 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:15 time: 0.0697 data_time: 0.0087 memory: 1705 2022/11/01 14:55:15 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:11 time: 0.0595 data_time: 0.0058 memory: 1781 2022/11/01 14:55:15 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:11 time: 0.0671 data_time: 0.0079 memory: 2007 2022/11/01 14:55:16 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:12 time: 0.0714 data_time: 0.0063 memory: 2007 2022/11/01 14:55:16 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:12 time: 0.0737 data_time: 0.0075 memory: 2082 2022/11/01 14:55:16 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:13 time: 0.0791 data_time: 0.0106 memory: 1743 2022/11/01 14:55:17 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:13 time: 0.0796 data_time: 0.0097 memory: 1931 2022/11/01 14:55:17 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:12 time: 0.0751 data_time: 0.0065 memory: 2044 2022/11/01 14:55:18 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:12 time: 0.0711 data_time: 0.0077 memory: 1931 2022/11/01 14:55:18 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:10 time: 0.0728 data_time: 0.0099 memory: 1705 2022/11/01 14:55:19 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:10 time: 0.1023 data_time: 0.0079 memory: 2044 2022/11/01 14:55:19 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:13 time: 0.0998 data_time: 0.0087 memory: 1743 2022/11/01 14:55:28 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:13 time: 0.9059 data_time: 0.0112 memory: 34508 2022/11/01 14:55:28 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:01:56 time: 0.8995 data_time: 0.0094 memory: 1818 2022/11/01 14:55:28 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:01:56 time: 0.0550 data_time: 0.0057 memory: 1705 2022/11/01 14:55:29 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:07 time: 0.0631 data_time: 0.0059 memory: 2044 2022/11/01 14:55:29 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:07 time: 0.0740 data_time: 0.0091 memory: 2044 2022/11/01 14:55:29 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:07 time: 0.0721 data_time: 0.0080 memory: 2082 2022/11/01 14:55:30 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:07 time: 0.1021 data_time: 0.0089 memory: 1705 2022/11/01 14:55:30 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:11 time: 0.1143 data_time: 0.0132 memory: 2044 2022/11/01 14:55:31 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:11 time: 0.0851 data_time: 0.0125 memory: 2044 2022/11/01 14:55:31 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:06 time: 0.0773 data_time: 0.0104 memory: 1818 2022/11/01 14:55:32 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:06 time: 0.0877 data_time: 0.0115 memory: 1705 2022/11/01 14:55:32 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:07 time: 0.0892 data_time: 0.0105 memory: 2007 2022/11/01 14:55:32 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:07 time: 0.0797 data_time: 0.0068 memory: 1705 2022/11/01 14:55:33 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:05 time: 0.0715 data_time: 0.0065 memory: 2082 2022/11/01 14:55:33 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:05 time: 0.0698 data_time: 0.0081 memory: 1705 2022/11/01 14:55:34 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:04 time: 0.0769 data_time: 0.0110 memory: 1856 2022/11/01 14:55:34 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:04 time: 0.0771 data_time: 0.0115 memory: 2007 2022/11/01 14:55:34 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:03 time: 0.0693 data_time: 0.0094 memory: 1705 2022/11/01 14:55:35 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:03 time: 0.0718 data_time: 0.0096 memory: 2082 2022/11/01 14:55:35 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:02 time: 0.0742 data_time: 0.0080 memory: 1781 2022/11/01 14:55:35 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:02 time: 0.0698 data_time: 0.0071 memory: 1969 2022/11/01 14:55:36 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:02 time: 0.0688 data_time: 0.0063 memory: 1781 2022/11/01 14:55:36 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:02 time: 0.0753 data_time: 0.0053 memory: 2082 2022/11/01 14:55:36 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:01 time: 0.0744 data_time: 0.0068 memory: 2044 2022/11/01 14:55:37 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:01 time: 0.0641 data_time: 0.0062 memory: 1705 2022/11/01 14:55:37 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0691 data_time: 0.0101 memory: 1969 2022/11/01 14:55:38 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0770 data_time: 0.0133 memory: 2082 2022/11/01 14:55:38 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.0735 data_time: 0.0129 memory: 1743 2022/11/01 14:55:38 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 14:55:38 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7925, precision: 0.6132, hmean: 0.6914 2022/11/01 14:55:38 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7925, precision: 0.6132, hmean: 0.6914 2022/11/01 14:55:38 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7925, precision: 0.6132, hmean: 0.6914 2022/11/01 14:55:38 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7925, precision: 0.6628, hmean: 0.7219 2022/11/01 14:55:38 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7915, precision: 0.7167, hmean: 0.7523 2022/11/01 14:55:38 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7870, precision: 0.7687, hmean: 0.7778 2022/11/01 14:55:38 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7398, precision: 0.8346, hmean: 0.7843 2022/11/01 14:55:38 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.8346 icdar/recall: 0.7398 icdar/hmean: 0.7843 2022/11/01 14:57:04 - mmengine - INFO - Epoch(train) [41][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 8.9340 data_time: 8.1909 memory: 27786 loss: 0.1120 loss_text: 0.0739 loss_kernel: 0.0382 2022/11/01 14:57:08 - mmengine - INFO - Epoch(train) [41][10/63] lr: 1.0000e-04 eta: 20:53:43 time: 8.9898 data_time: 8.2036 memory: 27786 loss: 0.1046 loss_text: 0.0703 loss_kernel: 0.0343 2022/11/01 14:57:12 - mmengine - INFO - Epoch(train) [41][15/63] lr: 1.0000e-04 eta: 20:53:43 time: 0.7974 data_time: 0.0243 memory: 27786 loss: 0.1050 loss_text: 0.0703 loss_kernel: 0.0348 2022/11/01 14:57:16 - mmengine - INFO - Epoch(train) [41][20/63] lr: 1.0000e-04 eta: 20:47:12 time: 0.7888 data_time: 0.0178 memory: 27786 loss: 0.1215 loss_text: 0.0810 loss_kernel: 0.0405 2022/11/01 14:57:20 - mmengine - INFO - Epoch(train) [41][25/63] lr: 1.0000e-04 eta: 20:47:12 time: 0.8034 data_time: 0.0291 memory: 27786 loss: 0.1284 loss_text: 0.0847 loss_kernel: 0.0437 2022/11/01 14:57:24 - mmengine - INFO - Epoch(train) [41][30/63] lr: 1.0000e-04 eta: 20:40:49 time: 0.7979 data_time: 0.0279 memory: 27786 loss: 0.1152 loss_text: 0.0743 loss_kernel: 0.0409 2022/11/01 14:57:28 - mmengine - INFO - Epoch(train) [41][35/63] lr: 1.0000e-04 eta: 20:40:49 time: 0.7946 data_time: 0.0204 memory: 27786 loss: 0.0972 loss_text: 0.0627 loss_kernel: 0.0345 2022/11/01 14:57:32 - mmengine - INFO - Epoch(train) [41][40/63] lr: 1.0000e-04 eta: 20:34:30 time: 0.7943 data_time: 0.0211 memory: 27786 loss: 0.1062 loss_text: 0.0717 loss_kernel: 0.0345 2022/11/01 14:57:36 - mmengine - INFO - Epoch(train) [41][45/63] lr: 1.0000e-04 eta: 20:34:30 time: 0.8015 data_time: 0.0297 memory: 27786 loss: 0.1180 loss_text: 0.0806 loss_kernel: 0.0374 2022/11/01 14:57:40 - mmengine - INFO - Epoch(train) [41][50/63] lr: 1.0000e-04 eta: 20:28:22 time: 0.8104 data_time: 0.0344 memory: 27786 loss: 0.1102 loss_text: 0.0741 loss_kernel: 0.0361 2022/11/01 14:57:44 - mmengine - INFO - Epoch(train) [41][55/63] lr: 1.0000e-04 eta: 20:28:22 time: 0.7953 data_time: 0.0242 memory: 27786 loss: 0.1049 loss_text: 0.0695 loss_kernel: 0.0355 2022/11/01 14:57:48 - mmengine - INFO - Epoch(train) [41][60/63] lr: 1.0000e-04 eta: 20:22:11 time: 0.7819 data_time: 0.0162 memory: 27786 loss: 0.1062 loss_text: 0.0707 loss_kernel: 0.0355 2022/11/01 14:57:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 14:59:15 - mmengine - INFO - Epoch(train) [42][5/63] lr: 1.0000e-04 eta: 20:22:11 time: 8.8310 data_time: 8.0962 memory: 27786 loss: 0.1102 loss_text: 0.0745 loss_kernel: 0.0357 2022/11/01 14:59:19 - mmengine - INFO - Epoch(train) [42][10/63] lr: 1.0000e-04 eta: 20:48:54 time: 8.8753 data_time: 8.0957 memory: 27786 loss: 0.1114 loss_text: 0.0751 loss_kernel: 0.0362 2022/11/01 14:59:22 - mmengine - INFO - Epoch(train) [42][15/63] lr: 1.0000e-04 eta: 20:48:54 time: 0.7831 data_time: 0.0150 memory: 27786 loss: 0.1089 loss_text: 0.0736 loss_kernel: 0.0353 2022/11/01 14:59:26 - mmengine - INFO - Epoch(train) [42][20/63] lr: 1.0000e-04 eta: 20:42:42 time: 0.7937 data_time: 0.0286 memory: 27786 loss: 0.1052 loss_text: 0.0695 loss_kernel: 0.0357 2022/11/01 14:59:30 - mmengine - INFO - Epoch(train) [42][25/63] lr: 1.0000e-04 eta: 20:42:42 time: 0.7952 data_time: 0.0264 memory: 27786 loss: 0.1092 loss_text: 0.0719 loss_kernel: 0.0373 2022/11/01 14:59:34 - mmengine - INFO - Epoch(train) [42][30/63] lr: 1.0000e-04 eta: 20:36:32 time: 0.7744 data_time: 0.0198 memory: 27786 loss: 0.1148 loss_text: 0.0772 loss_kernel: 0.0376 2022/11/01 14:59:38 - mmengine - INFO - Epoch(train) [42][35/63] lr: 1.0000e-04 eta: 20:36:32 time: 0.7949 data_time: 0.0284 memory: 27786 loss: 0.1167 loss_text: 0.0798 loss_kernel: 0.0369 2022/11/01 14:59:42 - mmengine - INFO - Epoch(train) [42][40/63] lr: 1.0000e-04 eta: 20:30:34 time: 0.8043 data_time: 0.0198 memory: 27786 loss: 0.1130 loss_text: 0.0754 loss_kernel: 0.0376 2022/11/01 14:59:46 - mmengine - INFO - Epoch(train) [42][45/63] lr: 1.0000e-04 eta: 20:30:34 time: 0.7974 data_time: 0.0234 memory: 27786 loss: 0.1121 loss_text: 0.0755 loss_kernel: 0.0366 2022/11/01 14:59:50 - mmengine - INFO - Epoch(train) [42][50/63] lr: 1.0000e-04 eta: 20:24:38 time: 0.7921 data_time: 0.0291 memory: 27786 loss: 0.1165 loss_text: 0.0793 loss_kernel: 0.0372 2022/11/01 14:59:54 - mmengine - INFO - Epoch(train) [42][55/63] lr: 1.0000e-04 eta: 20:24:38 time: 0.7753 data_time: 0.0196 memory: 27786 loss: 0.1136 loss_text: 0.0756 loss_kernel: 0.0380 2022/11/01 14:59:58 - mmengine - INFO - Epoch(train) [42][60/63] lr: 1.0000e-04 eta: 20:18:43 time: 0.7737 data_time: 0.0211 memory: 27786 loss: 0.1137 loss_text: 0.0767 loss_kernel: 0.0370 2022/11/01 15:00:00 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:01:26 - mmengine - INFO - Epoch(train) [43][5/63] lr: 1.0000e-04 eta: 20:18:43 time: 9.0033 data_time: 8.2592 memory: 27786 loss: 0.1091 loss_text: 0.0710 loss_kernel: 0.0381 2022/11/01 15:01:31 - mmengine - INFO - Epoch(train) [43][10/63] lr: 1.0000e-04 eta: 20:44:57 time: 9.0634 data_time: 8.2740 memory: 27786 loss: 0.1073 loss_text: 0.0716 loss_kernel: 0.0356 2022/11/01 15:01:34 - mmengine - INFO - Epoch(train) [43][15/63] lr: 1.0000e-04 eta: 20:44:57 time: 0.7928 data_time: 0.0240 memory: 27786 loss: 0.1100 loss_text: 0.0738 loss_kernel: 0.0363 2022/11/01 15:01:38 - mmengine - INFO - Epoch(train) [43][20/63] lr: 1.0000e-04 eta: 20:39:01 time: 0.7849 data_time: 0.0156 memory: 27786 loss: 0.1087 loss_text: 0.0720 loss_kernel: 0.0367 2022/11/01 15:01:42 - mmengine - INFO - Epoch(train) [43][25/63] lr: 1.0000e-04 eta: 20:39:01 time: 0.8105 data_time: 0.0318 memory: 27786 loss: 0.1067 loss_text: 0.0712 loss_kernel: 0.0354 2022/11/01 15:01:46 - mmengine - INFO - Epoch(train) [43][30/63] lr: 1.0000e-04 eta: 20:33:14 time: 0.8018 data_time: 0.0262 memory: 27786 loss: 0.1049 loss_text: 0.0685 loss_kernel: 0.0364 2022/11/01 15:01:50 - mmengine - INFO - Epoch(train) [43][35/63] lr: 1.0000e-04 eta: 20:33:14 time: 0.7914 data_time: 0.0194 memory: 27786 loss: 0.1282 loss_text: 0.0864 loss_kernel: 0.0418 2022/11/01 15:01:54 - mmengine - INFO - Epoch(train) [43][40/63] lr: 1.0000e-04 eta: 20:27:29 time: 0.7949 data_time: 0.0203 memory: 27786 loss: 0.1357 loss_text: 0.0932 loss_kernel: 0.0424 2022/11/01 15:01:58 - mmengine - INFO - Epoch(train) [43][45/63] lr: 1.0000e-04 eta: 20:27:29 time: 0.7993 data_time: 0.0203 memory: 27786 loss: 0.1181 loss_text: 0.0786 loss_kernel: 0.0395 2022/11/01 15:02:02 - mmengine - INFO - Epoch(train) [43][50/63] lr: 1.0000e-04 eta: 20:21:52 time: 0.8036 data_time: 0.0290 memory: 27786 loss: 0.1183 loss_text: 0.0789 loss_kernel: 0.0395 2022/11/01 15:02:06 - mmengine - INFO - Epoch(train) [43][55/63] lr: 1.0000e-04 eta: 20:21:52 time: 0.7907 data_time: 0.0249 memory: 27786 loss: 0.1133 loss_text: 0.0745 loss_kernel: 0.0388 2022/11/01 15:02:10 - mmengine - INFO - Epoch(train) [43][60/63] lr: 1.0000e-04 eta: 20:16:13 time: 0.7765 data_time: 0.0169 memory: 27786 loss: 0.1100 loss_text: 0.0722 loss_kernel: 0.0377 2022/11/01 15:02:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:03:37 - mmengine - INFO - Epoch(train) [44][5/63] lr: 1.0000e-04 eta: 20:16:13 time: 8.8335 data_time: 8.0912 memory: 27786 loss: 0.1093 loss_text: 0.0740 loss_kernel: 0.0352 2022/11/01 15:03:41 - mmengine - INFO - Epoch(train) [44][10/63] lr: 1.0000e-04 eta: 20:40:36 time: 8.8985 data_time: 8.1076 memory: 27786 loss: 0.1152 loss_text: 0.0771 loss_kernel: 0.0382 2022/11/01 15:03:45 - mmengine - INFO - Epoch(train) [44][15/63] lr: 1.0000e-04 eta: 20:40:36 time: 0.8041 data_time: 0.0248 memory: 27786 loss: 0.1360 loss_text: 0.0902 loss_kernel: 0.0458 2022/11/01 15:03:49 - mmengine - INFO - Epoch(train) [44][20/63] lr: 1.0000e-04 eta: 20:34:56 time: 0.7905 data_time: 0.0200 memory: 27786 loss: 0.1525 loss_text: 0.1054 loss_kernel: 0.0471 2022/11/01 15:03:53 - mmengine - INFO - Epoch(train) [44][25/63] lr: 1.0000e-04 eta: 20:34:56 time: 0.8052 data_time: 0.0324 memory: 27786 loss: 0.1384 loss_text: 0.0957 loss_kernel: 0.0426 2022/11/01 15:03:57 - mmengine - INFO - Epoch(train) [44][30/63] lr: 1.0000e-04 eta: 20:29:23 time: 0.7946 data_time: 0.0236 memory: 27786 loss: 0.1265 loss_text: 0.0866 loss_kernel: 0.0399 2022/11/01 15:04:01 - mmengine - INFO - Epoch(train) [44][35/63] lr: 1.0000e-04 eta: 20:29:23 time: 0.7882 data_time: 0.0222 memory: 27786 loss: 0.1306 loss_text: 0.0892 loss_kernel: 0.0414 2022/11/01 15:04:05 - mmengine - INFO - Epoch(train) [44][40/63] lr: 1.0000e-04 eta: 20:23:54 time: 0.7980 data_time: 0.0275 memory: 27786 loss: 0.1212 loss_text: 0.0807 loss_kernel: 0.0405 2022/11/01 15:04:09 - mmengine - INFO - Epoch(train) [44][45/63] lr: 1.0000e-04 eta: 20:23:54 time: 0.7963 data_time: 0.0193 memory: 27786 loss: 0.1113 loss_text: 0.0726 loss_kernel: 0.0387 2022/11/01 15:04:13 - mmengine - INFO - Epoch(train) [44][50/63] lr: 1.0000e-04 eta: 20:18:30 time: 0.7948 data_time: 0.0206 memory: 27786 loss: 0.1015 loss_text: 0.0674 loss_kernel: 0.0341 2022/11/01 15:04:17 - mmengine - INFO - Epoch(train) [44][55/63] lr: 1.0000e-04 eta: 20:18:30 time: 0.7850 data_time: 0.0202 memory: 27786 loss: 0.1098 loss_text: 0.0746 loss_kernel: 0.0353 2022/11/01 15:04:21 - mmengine - INFO - Epoch(train) [44][60/63] lr: 1.0000e-04 eta: 20:13:05 time: 0.7792 data_time: 0.0155 memory: 27786 loss: 0.1069 loss_text: 0.0705 loss_kernel: 0.0364 2022/11/01 15:04:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:05:49 - mmengine - INFO - Epoch(train) [45][5/63] lr: 1.0000e-04 eta: 20:13:05 time: 8.9745 data_time: 8.2267 memory: 27786 loss: 0.1150 loss_text: 0.0769 loss_kernel: 0.0380 2022/11/01 15:05:53 - mmengine - INFO - Epoch(train) [45][10/63] lr: 1.0000e-04 eta: 20:36:54 time: 9.0277 data_time: 8.2435 memory: 27786 loss: 0.1190 loss_text: 0.0799 loss_kernel: 0.0391 2022/11/01 15:05:57 - mmengine - INFO - Epoch(train) [45][15/63] lr: 1.0000e-04 eta: 20:36:54 time: 0.7997 data_time: 0.0274 memory: 27786 loss: 0.1083 loss_text: 0.0741 loss_kernel: 0.0342 2022/11/01 15:06:01 - mmengine - INFO - Epoch(train) [45][20/63] lr: 1.0000e-04 eta: 20:31:33 time: 0.8062 data_time: 0.0378 memory: 27786 loss: 0.1130 loss_text: 0.0779 loss_kernel: 0.0351 2022/11/01 15:06:05 - mmengine - INFO - Epoch(train) [45][25/63] lr: 1.0000e-04 eta: 20:31:33 time: 0.8189 data_time: 0.0495 memory: 27786 loss: 0.1013 loss_text: 0.0677 loss_kernel: 0.0337 2022/11/01 15:06:09 - mmengine - INFO - Epoch(train) [45][30/63] lr: 1.0000e-04 eta: 20:26:14 time: 0.8016 data_time: 0.0190 memory: 27786 loss: 0.0992 loss_text: 0.0646 loss_kernel: 0.0346 2022/11/01 15:06:13 - mmengine - INFO - Epoch(train) [45][35/63] lr: 1.0000e-04 eta: 20:26:14 time: 0.8022 data_time: 0.0191 memory: 27786 loss: 0.1046 loss_text: 0.0684 loss_kernel: 0.0362 2022/11/01 15:06:17 - mmengine - INFO - Epoch(train) [45][40/63] lr: 1.0000e-04 eta: 20:21:00 time: 0.8003 data_time: 0.0236 memory: 27786 loss: 0.1051 loss_text: 0.0697 loss_kernel: 0.0354 2022/11/01 15:06:21 - mmengine - INFO - Epoch(train) [45][45/63] lr: 1.0000e-04 eta: 20:21:00 time: 0.8008 data_time: 0.0261 memory: 27786 loss: 0.1073 loss_text: 0.0729 loss_kernel: 0.0345 2022/11/01 15:06:25 - mmengine - INFO - Epoch(train) [45][50/63] lr: 1.0000e-04 eta: 20:15:49 time: 0.7989 data_time: 0.0338 memory: 27786 loss: 0.1048 loss_text: 0.0705 loss_kernel: 0.0342 2022/11/01 15:06:29 - mmengine - INFO - Epoch(train) [45][55/63] lr: 1.0000e-04 eta: 20:15:49 time: 0.7918 data_time: 0.0228 memory: 27786 loss: 0.1137 loss_text: 0.0738 loss_kernel: 0.0399 2022/11/01 15:06:33 - mmengine - INFO - Epoch(train) [45][60/63] lr: 1.0000e-04 eta: 20:10:39 time: 0.7876 data_time: 0.0155 memory: 27786 loss: 0.1134 loss_text: 0.0744 loss_kernel: 0.0390 2022/11/01 15:06:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:08:00 - mmengine - INFO - Epoch(train) [46][5/63] lr: 1.0000e-04 eta: 20:10:39 time: 8.8628 data_time: 8.1116 memory: 27786 loss: 0.1108 loss_text: 0.0748 loss_kernel: 0.0360 2022/11/01 15:08:04 - mmengine - INFO - Epoch(train) [46][10/63] lr: 1.0000e-04 eta: 20:33:03 time: 8.9152 data_time: 8.1236 memory: 27786 loss: 0.1193 loss_text: 0.0797 loss_kernel: 0.0396 2022/11/01 15:08:08 - mmengine - INFO - Epoch(train) [46][15/63] lr: 1.0000e-04 eta: 20:33:03 time: 0.8165 data_time: 0.0349 memory: 27786 loss: 0.1084 loss_text: 0.0711 loss_kernel: 0.0373 2022/11/01 15:08:13 - mmengine - INFO - Epoch(train) [46][20/63] lr: 1.0000e-04 eta: 20:27:59 time: 0.8253 data_time: 0.0383 memory: 27786 loss: 0.1128 loss_text: 0.0768 loss_kernel: 0.0360 2022/11/01 15:08:17 - mmengine - INFO - Epoch(train) [46][25/63] lr: 1.0000e-04 eta: 20:27:59 time: 0.8040 data_time: 0.0246 memory: 27786 loss: 0.1264 loss_text: 0.0863 loss_kernel: 0.0400 2022/11/01 15:08:21 - mmengine - INFO - Epoch(train) [46][30/63] lr: 1.0000e-04 eta: 20:22:54 time: 0.8033 data_time: 0.0183 memory: 27786 loss: 0.1136 loss_text: 0.0754 loss_kernel: 0.0382 2022/11/01 15:08:25 - mmengine - INFO - Epoch(train) [46][35/63] lr: 1.0000e-04 eta: 20:22:54 time: 0.8059 data_time: 0.0274 memory: 27786 loss: 0.1090 loss_text: 0.0707 loss_kernel: 0.0383 2022/11/01 15:08:29 - mmengine - INFO - Epoch(train) [46][40/63] lr: 1.0000e-04 eta: 20:17:49 time: 0.7909 data_time: 0.0239 memory: 27786 loss: 0.1169 loss_text: 0.0781 loss_kernel: 0.0388 2022/11/01 15:08:33 - mmengine - INFO - Epoch(train) [46][45/63] lr: 1.0000e-04 eta: 20:17:49 time: 0.8111 data_time: 0.0291 memory: 27786 loss: 0.1009 loss_text: 0.0670 loss_kernel: 0.0339 2022/11/01 15:08:37 - mmengine - INFO - Epoch(train) [46][50/63] lr: 1.0000e-04 eta: 20:12:52 time: 0.8050 data_time: 0.0290 memory: 27786 loss: 0.0931 loss_text: 0.0606 loss_kernel: 0.0325 2022/11/01 15:08:41 - mmengine - INFO - Epoch(train) [46][55/63] lr: 1.0000e-04 eta: 20:12:52 time: 0.7822 data_time: 0.0220 memory: 27786 loss: 0.0997 loss_text: 0.0661 loss_kernel: 0.0336 2022/11/01 15:08:44 - mmengine - INFO - Epoch(train) [46][60/63] lr: 1.0000e-04 eta: 20:07:54 time: 0.7848 data_time: 0.0204 memory: 27786 loss: 0.0980 loss_text: 0.0637 loss_kernel: 0.0343 2022/11/01 15:08:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:10:13 - mmengine - INFO - Epoch(train) [47][5/63] lr: 1.0000e-04 eta: 20:07:54 time: 9.0334 data_time: 8.2899 memory: 27786 loss: 0.0969 loss_text: 0.0633 loss_kernel: 0.0336 2022/11/01 15:10:17 - mmengine - INFO - Epoch(train) [47][10/63] lr: 1.0000e-04 eta: 20:30:00 time: 9.0931 data_time: 8.3073 memory: 27786 loss: 0.0943 loss_text: 0.0609 loss_kernel: 0.0334 2022/11/01 15:10:21 - mmengine - INFO - Epoch(train) [47][15/63] lr: 1.0000e-04 eta: 20:30:00 time: 0.8094 data_time: 0.0288 memory: 27786 loss: 0.0974 loss_text: 0.0630 loss_kernel: 0.0344 2022/11/01 15:10:25 - mmengine - INFO - Epoch(train) [47][20/63] lr: 1.0000e-04 eta: 20:25:02 time: 0.7976 data_time: 0.0220 memory: 27786 loss: 0.1005 loss_text: 0.0669 loss_kernel: 0.0336 2022/11/01 15:10:29 - mmengine - INFO - Epoch(train) [47][25/63] lr: 1.0000e-04 eta: 20:25:02 time: 0.8038 data_time: 0.0327 memory: 27786 loss: 0.1002 loss_text: 0.0658 loss_kernel: 0.0344 2022/11/01 15:10:33 - mmengine - INFO - Epoch(train) [47][30/63] lr: 1.0000e-04 eta: 20:20:06 time: 0.7938 data_time: 0.0191 memory: 27786 loss: 0.1019 loss_text: 0.0650 loss_kernel: 0.0369 2022/11/01 15:10:37 - mmengine - INFO - Epoch(train) [47][35/63] lr: 1.0000e-04 eta: 20:20:06 time: 0.7949 data_time: 0.0200 memory: 27786 loss: 0.0996 loss_text: 0.0649 loss_kernel: 0.0347 2022/11/01 15:10:41 - mmengine - INFO - Epoch(train) [47][40/63] lr: 1.0000e-04 eta: 20:15:14 time: 0.7928 data_time: 0.0231 memory: 27786 loss: 0.1153 loss_text: 0.0781 loss_kernel: 0.0372 2022/11/01 15:10:45 - mmengine - INFO - Epoch(train) [47][45/63] lr: 1.0000e-04 eta: 20:15:14 time: 0.7880 data_time: 0.0190 memory: 27786 loss: 0.1167 loss_text: 0.0779 loss_kernel: 0.0388 2022/11/01 15:10:49 - mmengine - INFO - Epoch(train) [47][50/63] lr: 1.0000e-04 eta: 20:10:26 time: 0.7967 data_time: 0.0272 memory: 27786 loss: 0.0981 loss_text: 0.0644 loss_kernel: 0.0336 2022/11/01 15:10:53 - mmengine - INFO - Epoch(train) [47][55/63] lr: 1.0000e-04 eta: 20:10:26 time: 0.7914 data_time: 0.0240 memory: 27786 loss: 0.1060 loss_text: 0.0696 loss_kernel: 0.0364 2022/11/01 15:10:57 - mmengine - INFO - Epoch(train) [47][60/63] lr: 1.0000e-04 eta: 20:05:39 time: 0.7895 data_time: 0.0209 memory: 27786 loss: 0.1113 loss_text: 0.0724 loss_kernel: 0.0389 2022/11/01 15:10:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:12:25 - mmengine - INFO - Epoch(train) [48][5/63] lr: 1.0000e-04 eta: 20:05:39 time: 8.9222 data_time: 8.1774 memory: 27786 loss: 0.1127 loss_text: 0.0754 loss_kernel: 0.0373 2022/11/01 15:12:29 - mmengine - INFO - Epoch(train) [48][10/63] lr: 1.0000e-04 eta: 20:26:31 time: 8.9813 data_time: 8.1987 memory: 27786 loss: 0.1200 loss_text: 0.0802 loss_kernel: 0.0398 2022/11/01 15:12:33 - mmengine - INFO - Epoch(train) [48][15/63] lr: 1.0000e-04 eta: 20:26:31 time: 0.7934 data_time: 0.0285 memory: 27786 loss: 0.1168 loss_text: 0.0770 loss_kernel: 0.0399 2022/11/01 15:12:37 - mmengine - INFO - Epoch(train) [48][20/63] lr: 1.0000e-04 eta: 20:21:44 time: 0.7975 data_time: 0.0296 memory: 27786 loss: 0.0937 loss_text: 0.0608 loss_kernel: 0.0329 2022/11/01 15:12:41 - mmengine - INFO - Epoch(train) [48][25/63] lr: 1.0000e-04 eta: 20:21:44 time: 0.8157 data_time: 0.0376 memory: 27786 loss: 0.0911 loss_text: 0.0580 loss_kernel: 0.0331 2022/11/01 15:12:45 - mmengine - INFO - Epoch(train) [48][30/63] lr: 1.0000e-04 eta: 20:17:01 time: 0.8023 data_time: 0.0178 memory: 27786 loss: 0.0953 loss_text: 0.0612 loss_kernel: 0.0341 2022/11/01 15:12:49 - mmengine - INFO - Epoch(train) [48][35/63] lr: 1.0000e-04 eta: 20:17:01 time: 0.8050 data_time: 0.0239 memory: 27786 loss: 0.0957 loss_text: 0.0618 loss_kernel: 0.0338 2022/11/01 15:12:52 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:12:53 - mmengine - INFO - Epoch(train) [48][40/63] lr: 1.0000e-04 eta: 20:12:20 time: 0.7994 data_time: 0.0221 memory: 27786 loss: 0.1045 loss_text: 0.0693 loss_kernel: 0.0352 2022/11/01 15:12:58 - mmengine - INFO - Epoch(train) [48][45/63] lr: 1.0000e-04 eta: 20:12:20 time: 0.8961 data_time: 0.0195 memory: 27786 loss: 0.1213 loss_text: 0.0820 loss_kernel: 0.0394 2022/11/01 15:13:02 - mmengine - INFO - Epoch(train) [48][50/63] lr: 1.0000e-04 eta: 20:08:00 time: 0.8879 data_time: 0.0277 memory: 27786 loss: 0.1187 loss_text: 0.0795 loss_kernel: 0.0392 2022/11/01 15:13:06 - mmengine - INFO - Epoch(train) [48][55/63] lr: 1.0000e-04 eta: 20:08:00 time: 0.7630 data_time: 0.0204 memory: 27786 loss: 0.1100 loss_text: 0.0734 loss_kernel: 0.0366 2022/11/01 15:13:10 - mmengine - INFO - Epoch(train) [48][60/63] lr: 1.0000e-04 eta: 20:03:18 time: 0.7567 data_time: 0.0159 memory: 27786 loss: 0.1070 loss_text: 0.0712 loss_kernel: 0.0358 2022/11/01 15:13:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:14:39 - mmengine - INFO - Epoch(train) [49][5/63] lr: 1.0000e-04 eta: 20:03:18 time: 9.0745 data_time: 8.3441 memory: 27786 loss: 0.1159 loss_text: 0.0775 loss_kernel: 0.0385 2022/11/01 15:14:43 - mmengine - INFO - Epoch(train) [49][10/63] lr: 1.0000e-04 eta: 20:23:54 time: 9.1463 data_time: 8.3599 memory: 27786 loss: 0.1056 loss_text: 0.0692 loss_kernel: 0.0364 2022/11/01 15:14:47 - mmengine - INFO - Epoch(train) [49][15/63] lr: 1.0000e-04 eta: 20:23:54 time: 0.8006 data_time: 0.0256 memory: 27786 loss: 0.1097 loss_text: 0.0728 loss_kernel: 0.0368 2022/11/01 15:14:51 - mmengine - INFO - Epoch(train) [49][20/63] lr: 1.0000e-04 eta: 20:19:14 time: 0.7847 data_time: 0.0171 memory: 27786 loss: 0.1189 loss_text: 0.0804 loss_kernel: 0.0384 2022/11/01 15:14:55 - mmengine - INFO - Epoch(train) [49][25/63] lr: 1.0000e-04 eta: 20:19:14 time: 0.7912 data_time: 0.0233 memory: 27786 loss: 0.1152 loss_text: 0.0764 loss_kernel: 0.0388 2022/11/01 15:14:59 - mmengine - INFO - Epoch(train) [49][30/63] lr: 1.0000e-04 eta: 20:14:40 time: 0.7965 data_time: 0.0182 memory: 27786 loss: 0.1055 loss_text: 0.0682 loss_kernel: 0.0373 2022/11/01 15:15:03 - mmengine - INFO - Epoch(train) [49][35/63] lr: 1.0000e-04 eta: 20:14:40 time: 0.7956 data_time: 0.0212 memory: 27786 loss: 0.1080 loss_text: 0.0705 loss_kernel: 0.0375 2022/11/01 15:15:07 - mmengine - INFO - Epoch(train) [49][40/63] lr: 1.0000e-04 eta: 20:10:08 time: 0.7933 data_time: 0.0207 memory: 27786 loss: 0.1165 loss_text: 0.0777 loss_kernel: 0.0388 2022/11/01 15:15:11 - mmengine - INFO - Epoch(train) [49][45/63] lr: 1.0000e-04 eta: 20:10:08 time: 0.7961 data_time: 0.0205 memory: 27786 loss: 0.1099 loss_text: 0.0737 loss_kernel: 0.0362 2022/11/01 15:15:15 - mmengine - INFO - Epoch(train) [49][50/63] lr: 1.0000e-04 eta: 20:05:40 time: 0.8007 data_time: 0.0278 memory: 27786 loss: 0.1006 loss_text: 0.0686 loss_kernel: 0.0321 2022/11/01 15:15:19 - mmengine - INFO - Epoch(train) [49][55/63] lr: 1.0000e-04 eta: 20:05:40 time: 0.7870 data_time: 0.0199 memory: 27786 loss: 0.1142 loss_text: 0.0768 loss_kernel: 0.0374 2022/11/01 15:15:22 - mmengine - INFO - Epoch(train) [49][60/63] lr: 1.0000e-04 eta: 20:01:10 time: 0.7747 data_time: 0.0140 memory: 27786 loss: 0.1098 loss_text: 0.0725 loss_kernel: 0.0373 2022/11/01 15:15:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:16:49 - mmengine - INFO - Epoch(train) [50][5/63] lr: 1.0000e-04 eta: 20:01:10 time: 8.7685 data_time: 8.0316 memory: 27786 loss: 0.1028 loss_text: 0.0682 loss_kernel: 0.0346 2022/11/01 15:16:53 - mmengine - INFO - Epoch(train) [50][10/63] lr: 1.0000e-04 eta: 20:20:01 time: 8.8266 data_time: 8.0562 memory: 27786 loss: 0.1005 loss_text: 0.0665 loss_kernel: 0.0341 2022/11/01 15:16:57 - mmengine - INFO - Epoch(train) [50][15/63] lr: 1.0000e-04 eta: 20:20:01 time: 0.8096 data_time: 0.0396 memory: 27786 loss: 0.1003 loss_text: 0.0666 loss_kernel: 0.0337 2022/11/01 15:17:01 - mmengine - INFO - Epoch(train) [50][20/63] lr: 1.0000e-04 eta: 20:15:32 time: 0.7920 data_time: 0.0261 memory: 27786 loss: 0.1163 loss_text: 0.0775 loss_kernel: 0.0388 2022/11/01 15:17:05 - mmengine - INFO - Epoch(train) [50][25/63] lr: 1.0000e-04 eta: 20:15:32 time: 0.7831 data_time: 0.0257 memory: 27786 loss: 0.1112 loss_text: 0.0732 loss_kernel: 0.0380 2022/11/01 15:17:09 - mmengine - INFO - Epoch(train) [50][30/63] lr: 1.0000e-04 eta: 20:11:04 time: 0.7767 data_time: 0.0223 memory: 27786 loss: 0.1026 loss_text: 0.0673 loss_kernel: 0.0353 2022/11/01 15:17:12 - mmengine - INFO - Epoch(train) [50][35/63] lr: 1.0000e-04 eta: 20:11:04 time: 0.7797 data_time: 0.0271 memory: 27786 loss: 0.1004 loss_text: 0.0664 loss_kernel: 0.0340 2022/11/01 15:17:16 - mmengine - INFO - Epoch(train) [50][40/63] lr: 1.0000e-04 eta: 20:06:37 time: 0.7704 data_time: 0.0199 memory: 27786 loss: 0.0937 loss_text: 0.0612 loss_kernel: 0.0325 2022/11/01 15:17:20 - mmengine - INFO - Epoch(train) [50][45/63] lr: 1.0000e-04 eta: 20:06:37 time: 0.7673 data_time: 0.0190 memory: 27786 loss: 0.0922 loss_text: 0.0584 loss_kernel: 0.0338 2022/11/01 15:17:24 - mmengine - INFO - Epoch(train) [50][50/63] lr: 1.0000e-04 eta: 20:02:13 time: 0.7704 data_time: 0.0227 memory: 27786 loss: 0.1011 loss_text: 0.0649 loss_kernel: 0.0362 2022/11/01 15:17:28 - mmengine - INFO - Epoch(train) [50][55/63] lr: 1.0000e-04 eta: 20:02:13 time: 0.7603 data_time: 0.0182 memory: 27786 loss: 0.1056 loss_text: 0.0694 loss_kernel: 0.0362 2022/11/01 15:17:32 - mmengine - INFO - Epoch(train) [50][60/63] lr: 1.0000e-04 eta: 19:57:50 time: 0.7631 data_time: 0.0200 memory: 27786 loss: 0.0979 loss_text: 0.0628 loss_kernel: 0.0352 2022/11/01 15:17:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:18:59 - mmengine - INFO - Epoch(train) [51][5/63] lr: 1.0000e-04 eta: 19:57:50 time: 8.8837 data_time: 8.1659 memory: 27786 loss: 0.0906 loss_text: 0.0590 loss_kernel: 0.0316 2022/11/01 15:19:04 - mmengine - INFO - Epoch(train) [51][10/63] lr: 1.0000e-04 eta: 20:16:33 time: 9.0074 data_time: 8.2342 memory: 27786 loss: 0.1003 loss_text: 0.0654 loss_kernel: 0.0349 2022/11/01 15:19:07 - mmengine - INFO - Epoch(train) [51][15/63] lr: 1.0000e-04 eta: 20:16:33 time: 0.8403 data_time: 0.0772 memory: 27786 loss: 0.1040 loss_text: 0.0684 loss_kernel: 0.0356 2022/11/01 15:19:11 - mmengine - INFO - Epoch(train) [51][20/63] lr: 1.0000e-04 eta: 20:12:11 time: 0.7736 data_time: 0.0226 memory: 27786 loss: 0.0952 loss_text: 0.0614 loss_kernel: 0.0339 2022/11/01 15:19:15 - mmengine - INFO - Epoch(train) [51][25/63] lr: 1.0000e-04 eta: 20:12:11 time: 0.7957 data_time: 0.0409 memory: 27786 loss: 0.0936 loss_text: 0.0588 loss_kernel: 0.0348 2022/11/01 15:19:19 - mmengine - INFO - Epoch(train) [51][30/63] lr: 1.0000e-04 eta: 20:07:52 time: 0.7826 data_time: 0.0241 memory: 27786 loss: 0.0954 loss_text: 0.0612 loss_kernel: 0.0342 2022/11/01 15:19:23 - mmengine - INFO - Epoch(train) [51][35/63] lr: 1.0000e-04 eta: 20:07:52 time: 0.7760 data_time: 0.0182 memory: 27786 loss: 0.0948 loss_text: 0.0616 loss_kernel: 0.0332 2022/11/01 15:19:27 - mmengine - INFO - Epoch(train) [51][40/63] lr: 1.0000e-04 eta: 20:03:35 time: 0.7791 data_time: 0.0238 memory: 27786 loss: 0.1038 loss_text: 0.0683 loss_kernel: 0.0355 2022/11/01 15:19:31 - mmengine - INFO - Epoch(train) [51][45/63] lr: 1.0000e-04 eta: 20:03:35 time: 0.7795 data_time: 0.0207 memory: 27786 loss: 0.1083 loss_text: 0.0726 loss_kernel: 0.0357 2022/11/01 15:19:35 - mmengine - INFO - Epoch(train) [51][50/63] lr: 1.0000e-04 eta: 19:59:22 time: 0.7855 data_time: 0.0293 memory: 27786 loss: 0.1013 loss_text: 0.0668 loss_kernel: 0.0344 2022/11/01 15:19:39 - mmengine - INFO - Epoch(train) [51][55/63] lr: 1.0000e-04 eta: 19:59:22 time: 0.7712 data_time: 0.0237 memory: 27786 loss: 0.0962 loss_text: 0.0617 loss_kernel: 0.0345 2022/11/01 15:19:43 - mmengine - INFO - Epoch(train) [51][60/63] lr: 1.0000e-04 eta: 19:55:09 time: 0.7662 data_time: 0.0167 memory: 27786 loss: 0.0987 loss_text: 0.0647 loss_kernel: 0.0340 2022/11/01 15:19:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:21:11 - mmengine - INFO - Epoch(train) [52][5/63] lr: 1.0000e-04 eta: 19:55:09 time: 9.0256 data_time: 8.3070 memory: 27786 loss: 0.1019 loss_text: 0.0673 loss_kernel: 0.0346 2022/11/01 15:21:15 - mmengine - INFO - Epoch(train) [52][10/63] lr: 1.0000e-04 eta: 20:13:28 time: 9.0891 data_time: 8.3251 memory: 27786 loss: 0.1150 loss_text: 0.0752 loss_kernel: 0.0399 2022/11/01 15:21:19 - mmengine - INFO - Epoch(train) [52][15/63] lr: 1.0000e-04 eta: 20:13:28 time: 0.7884 data_time: 0.0257 memory: 27786 loss: 0.1154 loss_text: 0.0772 loss_kernel: 0.0383 2022/11/01 15:21:23 - mmengine - INFO - Epoch(train) [52][20/63] lr: 1.0000e-04 eta: 20:09:14 time: 0.7741 data_time: 0.0189 memory: 27786 loss: 0.1265 loss_text: 0.0868 loss_kernel: 0.0396 2022/11/01 15:21:27 - mmengine - INFO - Epoch(train) [52][25/63] lr: 1.0000e-04 eta: 20:09:14 time: 0.7836 data_time: 0.0334 memory: 27786 loss: 0.1385 loss_text: 0.0959 loss_kernel: 0.0426 2022/11/01 15:21:31 - mmengine - INFO - Epoch(train) [52][30/63] lr: 1.0000e-04 eta: 20:05:03 time: 0.7795 data_time: 0.0206 memory: 27786 loss: 0.1337 loss_text: 0.0928 loss_kernel: 0.0409 2022/11/01 15:21:35 - mmengine - INFO - Epoch(train) [52][35/63] lr: 1.0000e-04 eta: 20:05:03 time: 0.7857 data_time: 0.0215 memory: 27786 loss: 0.1275 loss_text: 0.0874 loss_kernel: 0.0402 2022/11/01 15:21:39 - mmengine - INFO - Epoch(train) [52][40/63] lr: 1.0000e-04 eta: 20:00:54 time: 0.7775 data_time: 0.0237 memory: 27786 loss: 0.1255 loss_text: 0.0851 loss_kernel: 0.0404 2022/11/01 15:21:43 - mmengine - INFO - Epoch(train) [52][45/63] lr: 1.0000e-04 eta: 20:00:54 time: 0.7778 data_time: 0.0211 memory: 27786 loss: 0.1206 loss_text: 0.0818 loss_kernel: 0.0388 2022/11/01 15:21:47 - mmengine - INFO - Epoch(train) [52][50/63] lr: 1.0000e-04 eta: 19:56:54 time: 0.8157 data_time: 0.0329 memory: 27786 loss: 0.1147 loss_text: 0.0776 loss_kernel: 0.0371 2022/11/01 15:21:51 - mmengine - INFO - Epoch(train) [52][55/63] lr: 1.0000e-04 eta: 19:56:54 time: 0.8024 data_time: 0.0222 memory: 27786 loss: 0.1113 loss_text: 0.0741 loss_kernel: 0.0373 2022/11/01 15:21:55 - mmengine - INFO - Epoch(train) [52][60/63] lr: 1.0000e-04 eta: 19:52:52 time: 0.7878 data_time: 0.0137 memory: 27786 loss: 0.1109 loss_text: 0.0734 loss_kernel: 0.0375 2022/11/01 15:21:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:23:50 - mmengine - INFO - Epoch(train) [53][5/63] lr: 1.0000e-04 eta: 19:52:52 time: 11.7101 data_time: 9.1458 memory: 27786 loss: 0.1200 loss_text: 0.0803 loss_kernel: 0.0397 2022/11/01 15:23:55 - mmengine - INFO - Epoch(train) [53][10/63] lr: 1.0000e-04 eta: 20:18:14 time: 11.7910 data_time: 9.1675 memory: 27786 loss: 0.1143 loss_text: 0.0757 loss_kernel: 0.0386 2022/11/01 15:23:59 - mmengine - INFO - Epoch(train) [53][15/63] lr: 1.0000e-04 eta: 20:18:14 time: 0.8231 data_time: 0.0306 memory: 27786 loss: 0.1017 loss_text: 0.0678 loss_kernel: 0.0339 2022/11/01 15:24:03 - mmengine - INFO - Epoch(train) [53][20/63] lr: 1.0000e-04 eta: 20:14:19 time: 0.8525 data_time: 0.0178 memory: 27786 loss: 0.1135 loss_text: 0.0762 loss_kernel: 0.0373 2022/11/01 15:24:07 - mmengine - INFO - Epoch(train) [53][25/63] lr: 1.0000e-04 eta: 20:14:19 time: 0.8561 data_time: 0.0316 memory: 27786 loss: 0.1072 loss_text: 0.0718 loss_kernel: 0.0354 2022/11/01 15:24:11 - mmengine - INFO - Epoch(train) [53][30/63] lr: 1.0000e-04 eta: 20:10:11 time: 0.7689 data_time: 0.0240 memory: 27786 loss: 0.0969 loss_text: 0.0647 loss_kernel: 0.0322 2022/11/01 15:24:15 - mmengine - INFO - Epoch(train) [53][35/63] lr: 1.0000e-04 eta: 20:10:11 time: 0.7688 data_time: 0.0211 memory: 27786 loss: 0.1031 loss_text: 0.0684 loss_kernel: 0.0348 2022/11/01 15:24:19 - mmengine - INFO - Epoch(train) [53][40/63] lr: 1.0000e-04 eta: 20:06:07 time: 0.7721 data_time: 0.0220 memory: 27786 loss: 0.1161 loss_text: 0.0775 loss_kernel: 0.0387 2022/11/01 15:24:23 - mmengine - INFO - Epoch(train) [53][45/63] lr: 1.0000e-04 eta: 20:06:07 time: 0.7765 data_time: 0.0240 memory: 27786 loss: 0.1182 loss_text: 0.0790 loss_kernel: 0.0392 2022/11/01 15:24:27 - mmengine - INFO - Epoch(train) [53][50/63] lr: 1.0000e-04 eta: 20:02:06 time: 0.7852 data_time: 0.0285 memory: 27786 loss: 0.1124 loss_text: 0.0739 loss_kernel: 0.0385 2022/11/01 15:24:30 - mmengine - INFO - Epoch(train) [53][55/63] lr: 1.0000e-04 eta: 20:02:06 time: 0.7742 data_time: 0.0191 memory: 27786 loss: 0.1225 loss_text: 0.0812 loss_kernel: 0.0413 2022/11/01 15:24:34 - mmengine - INFO - Epoch(train) [53][60/63] lr: 1.0000e-04 eta: 19:58:05 time: 0.7646 data_time: 0.0162 memory: 27786 loss: 0.1082 loss_text: 0.0723 loss_kernel: 0.0359 2022/11/01 15:24:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:26:01 - mmengine - INFO - Epoch(train) [54][5/63] lr: 1.0000e-04 eta: 19:58:05 time: 8.7745 data_time: 8.0606 memory: 27786 loss: 0.0938 loss_text: 0.0624 loss_kernel: 0.0314 2022/11/01 15:26:04 - mmengine - INFO - Epoch(train) [54][10/63] lr: 1.0000e-04 eta: 20:14:25 time: 8.8192 data_time: 8.0739 memory: 27786 loss: 0.1040 loss_text: 0.0687 loss_kernel: 0.0353 2022/11/01 15:26:08 - mmengine - INFO - Epoch(train) [54][15/63] lr: 1.0000e-04 eta: 20:14:25 time: 0.7706 data_time: 0.0267 memory: 27786 loss: 0.1016 loss_text: 0.0676 loss_kernel: 0.0341 2022/11/01 15:26:12 - mmengine - INFO - Epoch(train) [54][20/63] lr: 1.0000e-04 eta: 20:10:23 time: 0.7661 data_time: 0.0180 memory: 27786 loss: 0.1088 loss_text: 0.0741 loss_kernel: 0.0347 2022/11/01 15:26:16 - mmengine - INFO - Epoch(train) [54][25/63] lr: 1.0000e-04 eta: 20:10:23 time: 0.7653 data_time: 0.0206 memory: 27786 loss: 0.1210 loss_text: 0.0815 loss_kernel: 0.0396 2022/11/01 15:26:20 - mmengine - INFO - Epoch(train) [54][30/63] lr: 1.0000e-04 eta: 20:06:26 time: 0.7847 data_time: 0.0264 memory: 27786 loss: 0.1054 loss_text: 0.0695 loss_kernel: 0.0358 2022/11/01 15:26:24 - mmengine - INFO - Epoch(train) [54][35/63] lr: 1.0000e-04 eta: 20:06:26 time: 0.7899 data_time: 0.0257 memory: 27786 loss: 0.0972 loss_text: 0.0635 loss_kernel: 0.0337 2022/11/01 15:26:28 - mmengine - INFO - Epoch(train) [54][40/63] lr: 1.0000e-04 eta: 20:02:30 time: 0.7840 data_time: 0.0243 memory: 27786 loss: 0.1068 loss_text: 0.0712 loss_kernel: 0.0357 2022/11/01 15:26:32 - mmengine - INFO - Epoch(train) [54][45/63] lr: 1.0000e-04 eta: 20:02:30 time: 0.7859 data_time: 0.0268 memory: 27786 loss: 0.1028 loss_text: 0.0681 loss_kernel: 0.0347 2022/11/01 15:26:35 - mmengine - INFO - Epoch(train) [54][50/63] lr: 1.0000e-04 eta: 19:58:36 time: 0.7771 data_time: 0.0251 memory: 27786 loss: 0.1004 loss_text: 0.0671 loss_kernel: 0.0334 2022/11/01 15:26:39 - mmengine - INFO - Epoch(train) [54][55/63] lr: 1.0000e-04 eta: 19:58:36 time: 0.7711 data_time: 0.0249 memory: 27786 loss: 0.1005 loss_text: 0.0664 loss_kernel: 0.0341 2022/11/01 15:26:43 - mmengine - INFO - Epoch(train) [54][60/63] lr: 1.0000e-04 eta: 19:54:43 time: 0.7695 data_time: 0.0186 memory: 27786 loss: 0.1065 loss_text: 0.0689 loss_kernel: 0.0377 2022/11/01 15:26:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:28:28 - mmengine - INFO - Epoch(train) [55][5/63] lr: 1.0000e-04 eta: 19:54:43 time: 10.6201 data_time: 9.8909 memory: 27786 loss: 0.1110 loss_text: 0.0738 loss_kernel: 0.0372 2022/11/01 15:28:32 - mmengine - INFO - Epoch(train) [55][10/63] lr: 1.0000e-04 eta: 20:15:34 time: 10.7047 data_time: 9.9076 memory: 27786 loss: 0.1056 loss_text: 0.0688 loss_kernel: 0.0367 2022/11/01 15:28:37 - mmengine - INFO - Epoch(train) [55][15/63] lr: 1.0000e-04 eta: 20:15:34 time: 0.8635 data_time: 0.0333 memory: 27786 loss: 0.1071 loss_text: 0.0701 loss_kernel: 0.0371 2022/11/01 15:28:41 - mmengine - INFO - Epoch(train) [55][20/63] lr: 1.0000e-04 eta: 20:11:51 time: 0.8547 data_time: 0.0252 memory: 27786 loss: 0.1051 loss_text: 0.0699 loss_kernel: 0.0352 2022/11/01 15:28:45 - mmengine - INFO - Epoch(train) [55][25/63] lr: 1.0000e-04 eta: 20:11:51 time: 0.8701 data_time: 0.0368 memory: 27786 loss: 0.1133 loss_text: 0.0761 loss_kernel: 0.0371 2022/11/01 15:28:50 - mmengine - INFO - Epoch(train) [55][30/63] lr: 1.0000e-04 eta: 20:08:14 time: 0.8749 data_time: 0.0335 memory: 27786 loss: 0.1054 loss_text: 0.0704 loss_kernel: 0.0350 2022/11/01 15:28:54 - mmengine - INFO - Epoch(train) [55][35/63] lr: 1.0000e-04 eta: 20:08:14 time: 0.8483 data_time: 0.0328 memory: 27786 loss: 0.0972 loss_text: 0.0637 loss_kernel: 0.0335 2022/11/01 15:28:58 - mmengine - INFO - Epoch(train) [55][40/63] lr: 1.0000e-04 eta: 20:04:38 time: 0.8735 data_time: 0.0311 memory: 27786 loss: 0.1090 loss_text: 0.0728 loss_kernel: 0.0362 2022/11/01 15:29:03 - mmengine - INFO - Epoch(train) [55][45/63] lr: 1.0000e-04 eta: 20:04:38 time: 0.9045 data_time: 0.0278 memory: 27786 loss: 0.1149 loss_text: 0.0785 loss_kernel: 0.0365 2022/11/01 15:29:07 - mmengine - INFO - Epoch(train) [55][50/63] lr: 1.0000e-04 eta: 20:01:04 time: 0.8744 data_time: 0.0387 memory: 27786 loss: 0.1329 loss_text: 0.0916 loss_kernel: 0.0414 2022/11/01 15:29:11 - mmengine - INFO - Epoch(train) [55][55/63] lr: 1.0000e-04 eta: 20:01:04 time: 0.8325 data_time: 0.0368 memory: 27786 loss: 0.1361 loss_text: 0.0942 loss_kernel: 0.0419 2022/11/01 15:29:15 - mmengine - INFO - Epoch(train) [55][60/63] lr: 1.0000e-04 eta: 19:57:25 time: 0.8246 data_time: 0.0249 memory: 27786 loss: 0.1308 loss_text: 0.0901 loss_kernel: 0.0407 2022/11/01 15:29:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:31:01 - mmengine - INFO - Epoch(train) [56][5/63] lr: 1.0000e-04 eta: 19:57:25 time: 10.7245 data_time: 9.9735 memory: 27786 loss: 0.1503 loss_text: 0.1061 loss_kernel: 0.0442 2022/11/01 15:31:05 - mmengine - INFO - Epoch(train) [56][10/63] lr: 1.0000e-04 eta: 20:17:42 time: 10.7514 data_time: 9.9929 memory: 27786 loss: 0.1392 loss_text: 0.0981 loss_kernel: 0.0410 2022/11/01 15:31:09 - mmengine - INFO - Epoch(train) [56][15/63] lr: 1.0000e-04 eta: 20:17:42 time: 0.7804 data_time: 0.0336 memory: 27786 loss: 0.1285 loss_text: 0.0878 loss_kernel: 0.0407 2022/11/01 15:31:13 - mmengine - INFO - Epoch(train) [56][20/63] lr: 1.0000e-04 eta: 20:13:50 time: 0.7608 data_time: 0.0179 memory: 27786 loss: 0.1257 loss_text: 0.0864 loss_kernel: 0.0393 2022/11/01 15:31:17 - mmengine - INFO - Epoch(train) [56][25/63] lr: 1.0000e-04 eta: 20:13:50 time: 0.7704 data_time: 0.0269 memory: 27786 loss: 0.1190 loss_text: 0.0800 loss_kernel: 0.0390 2022/11/01 15:31:20 - mmengine - INFO - Epoch(train) [56][30/63] lr: 1.0000e-04 eta: 20:10:01 time: 0.7675 data_time: 0.0227 memory: 27786 loss: 0.1124 loss_text: 0.0739 loss_kernel: 0.0385 2022/11/01 15:31:24 - mmengine - INFO - Epoch(train) [56][35/63] lr: 1.0000e-04 eta: 20:10:01 time: 0.7662 data_time: 0.0202 memory: 27786 loss: 0.1063 loss_text: 0.0715 loss_kernel: 0.0348 2022/11/01 15:31:28 - mmengine - INFO - Epoch(train) [56][40/63] lr: 1.0000e-04 eta: 20:06:13 time: 0.7669 data_time: 0.0238 memory: 27786 loss: 0.1031 loss_text: 0.0695 loss_kernel: 0.0336 2022/11/01 15:31:32 - mmengine - INFO - Epoch(train) [56][45/63] lr: 1.0000e-04 eta: 20:06:13 time: 0.7621 data_time: 0.0244 memory: 27786 loss: 0.1008 loss_text: 0.0660 loss_kernel: 0.0348 2022/11/01 15:31:36 - mmengine - INFO - Epoch(train) [56][50/63] lr: 1.0000e-04 eta: 20:02:27 time: 0.7587 data_time: 0.0236 memory: 27786 loss: 0.0988 loss_text: 0.0646 loss_kernel: 0.0341 2022/11/01 15:31:40 - mmengine - INFO - Epoch(train) [56][55/63] lr: 1.0000e-04 eta: 20:02:27 time: 0.7603 data_time: 0.0202 memory: 27786 loss: 0.0956 loss_text: 0.0637 loss_kernel: 0.0319 2022/11/01 15:31:43 - mmengine - INFO - Epoch(train) [56][60/63] lr: 1.0000e-04 eta: 19:58:43 time: 0.7628 data_time: 0.0200 memory: 27786 loss: 0.0938 loss_text: 0.0615 loss_kernel: 0.0323 2022/11/01 15:31:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:34:54 - mmengine - INFO - Epoch(train) [57][5/63] lr: 1.0000e-04 eta: 19:58:43 time: 19.2347 data_time: 18.5177 memory: 27786 loss: 0.1000 loss_text: 0.0674 loss_kernel: 0.0326 2022/11/01 15:34:58 - mmengine - INFO - Epoch(train) [57][10/63] lr: 1.0000e-04 eta: 20:39:48 time: 19.3029 data_time: 18.5403 memory: 27786 loss: 0.1017 loss_text: 0.0677 loss_kernel: 0.0341 2022/11/01 15:35:02 - mmengine - INFO - Epoch(train) [57][15/63] lr: 1.0000e-04 eta: 20:39:48 time: 0.7851 data_time: 0.0346 memory: 27786 loss: 0.0997 loss_text: 0.0652 loss_kernel: 0.0345 2022/11/01 15:35:06 - mmengine - INFO - Epoch(train) [57][20/63] lr: 1.0000e-04 eta: 20:35:59 time: 0.7840 data_time: 0.0337 memory: 27786 loss: 0.1005 loss_text: 0.0653 loss_kernel: 0.0353 2022/11/01 15:35:10 - mmengine - INFO - Epoch(train) [57][25/63] lr: 1.0000e-04 eta: 20:35:59 time: 0.7979 data_time: 0.0471 memory: 27786 loss: 0.1035 loss_text: 0.0678 loss_kernel: 0.0357 2022/11/01 15:35:14 - mmengine - INFO - Epoch(train) [57][30/63] lr: 1.0000e-04 eta: 20:32:10 time: 0.7717 data_time: 0.0225 memory: 27786 loss: 0.0998 loss_text: 0.0657 loss_kernel: 0.0340 2022/11/01 15:35:18 - mmengine - INFO - Epoch(train) [57][35/63] lr: 1.0000e-04 eta: 20:32:10 time: 0.7720 data_time: 0.0216 memory: 27786 loss: 0.1127 loss_text: 0.0758 loss_kernel: 0.0369 2022/11/01 15:35:22 - mmengine - INFO - Epoch(train) [57][40/63] lr: 1.0000e-04 eta: 20:28:22 time: 0.7721 data_time: 0.0226 memory: 27786 loss: 0.1152 loss_text: 0.0765 loss_kernel: 0.0387 2022/11/01 15:35:25 - mmengine - INFO - Epoch(train) [57][45/63] lr: 1.0000e-04 eta: 20:28:22 time: 0.7636 data_time: 0.0215 memory: 27786 loss: 0.0990 loss_text: 0.0652 loss_kernel: 0.0338 2022/11/01 15:35:29 - mmengine - INFO - Epoch(train) [57][50/63] lr: 1.0000e-04 eta: 20:24:36 time: 0.7667 data_time: 0.0268 memory: 27786 loss: 0.0976 loss_text: 0.0643 loss_kernel: 0.0333 2022/11/01 15:35:33 - mmengine - INFO - Epoch(train) [57][55/63] lr: 1.0000e-04 eta: 20:24:36 time: 0.7611 data_time: 0.0183 memory: 27786 loss: 0.0947 loss_text: 0.0599 loss_kernel: 0.0348 2022/11/01 15:35:37 - mmengine - INFO - Epoch(train) [57][60/63] lr: 1.0000e-04 eta: 20:20:52 time: 0.7655 data_time: 0.0191 memory: 27786 loss: 0.0969 loss_text: 0.0619 loss_kernel: 0.0350 2022/11/01 15:35:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:37:32 - mmengine - INFO - Epoch(train) [58][5/63] lr: 1.0000e-04 eta: 20:20:52 time: 11.6562 data_time: 10.9205 memory: 27786 loss: 0.0967 loss_text: 0.0614 loss_kernel: 0.0352 2022/11/01 15:37:36 - mmengine - INFO - Epoch(train) [58][10/63] lr: 1.0000e-04 eta: 20:42:12 time: 11.7388 data_time: 10.9407 memory: 27786 loss: 0.1027 loss_text: 0.0678 loss_kernel: 0.0350 2022/11/01 15:37:40 - mmengine - INFO - Epoch(train) [58][15/63] lr: 1.0000e-04 eta: 20:42:12 time: 0.8277 data_time: 0.0531 memory: 27786 loss: 0.1066 loss_text: 0.0706 loss_kernel: 0.0360 2022/11/01 15:37:44 - mmengine - INFO - Epoch(train) [58][20/63] lr: 1.0000e-04 eta: 20:38:31 time: 0.8107 data_time: 0.0582 memory: 27786 loss: 0.1020 loss_text: 0.0670 loss_kernel: 0.0350 2022/11/01 15:37:48 - mmengine - INFO - Epoch(train) [58][25/63] lr: 1.0000e-04 eta: 20:38:31 time: 0.8066 data_time: 0.0387 memory: 27786 loss: 0.0966 loss_text: 0.0632 loss_kernel: 0.0334 2022/11/01 15:37:52 - mmengine - INFO - Epoch(train) [58][30/63] lr: 1.0000e-04 eta: 20:34:50 time: 0.7937 data_time: 0.0174 memory: 27786 loss: 0.0899 loss_text: 0.0577 loss_kernel: 0.0322 2022/11/01 15:37:56 - mmengine - INFO - Epoch(train) [58][35/63] lr: 1.0000e-04 eta: 20:34:50 time: 0.7833 data_time: 0.0205 memory: 27786 loss: 0.1018 loss_text: 0.0676 loss_kernel: 0.0342 2022/11/01 15:38:00 - mmengine - INFO - Epoch(train) [58][40/63] lr: 1.0000e-04 eta: 20:31:10 time: 0.7912 data_time: 0.0204 memory: 27786 loss: 0.0995 loss_text: 0.0668 loss_kernel: 0.0327 2022/11/01 15:38:04 - mmengine - INFO - Epoch(train) [58][45/63] lr: 1.0000e-04 eta: 20:31:10 time: 0.8028 data_time: 0.0246 memory: 27786 loss: 0.0882 loss_text: 0.0564 loss_kernel: 0.0318 2022/11/01 15:38:08 - mmengine - INFO - Epoch(train) [58][50/63] lr: 1.0000e-04 eta: 20:27:31 time: 0.7884 data_time: 0.0251 memory: 27786 loss: 0.0974 loss_text: 0.0626 loss_kernel: 0.0348 2022/11/01 15:38:12 - mmengine - INFO - Epoch(train) [58][55/63] lr: 1.0000e-04 eta: 20:27:31 time: 0.7809 data_time: 0.0183 memory: 27786 loss: 0.1046 loss_text: 0.0681 loss_kernel: 0.0365 2022/11/01 15:38:16 - mmengine - INFO - Epoch(train) [58][60/63] lr: 1.0000e-04 eta: 20:23:53 time: 0.7778 data_time: 0.0178 memory: 27786 loss: 0.0995 loss_text: 0.0647 loss_kernel: 0.0348 2022/11/01 15:38:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:39:57 - mmengine - INFO - Epoch(train) [59][5/63] lr: 1.0000e-04 eta: 20:23:53 time: 10.2367 data_time: 9.4870 memory: 27786 loss: 0.1007 loss_text: 0.0661 loss_kernel: 0.0346 2022/11/01 15:40:01 - mmengine - INFO - Epoch(train) [59][10/63] lr: 1.0000e-04 eta: 20:41:10 time: 10.2945 data_time: 9.4920 memory: 27786 loss: 0.1122 loss_text: 0.0738 loss_kernel: 0.0383 2022/11/01 15:40:05 - mmengine - INFO - Epoch(train) [59][15/63] lr: 1.0000e-04 eta: 20:41:10 time: 0.7999 data_time: 0.0248 memory: 27786 loss: 0.1083 loss_text: 0.0710 loss_kernel: 0.0373 2022/11/01 15:40:09 - mmengine - INFO - Epoch(train) [59][20/63] lr: 1.0000e-04 eta: 20:37:35 time: 0.8164 data_time: 0.0371 memory: 27786 loss: 0.1105 loss_text: 0.0730 loss_kernel: 0.0375 2022/11/01 15:40:13 - mmengine - INFO - Epoch(train) [59][25/63] lr: 1.0000e-04 eta: 20:37:35 time: 0.8105 data_time: 0.0338 memory: 27786 loss: 0.1163 loss_text: 0.0766 loss_kernel: 0.0397 2022/11/01 15:40:17 - mmengine - INFO - Epoch(train) [59][30/63] lr: 1.0000e-04 eta: 20:33:59 time: 0.7987 data_time: 0.0199 memory: 27786 loss: 0.0965 loss_text: 0.0631 loss_kernel: 0.0334 2022/11/01 15:40:21 - mmengine - INFO - Epoch(train) [59][35/63] lr: 1.0000e-04 eta: 20:33:59 time: 0.7986 data_time: 0.0251 memory: 27786 loss: 0.0904 loss_text: 0.0578 loss_kernel: 0.0327 2022/11/01 15:40:25 - mmengine - INFO - Epoch(train) [59][40/63] lr: 1.0000e-04 eta: 20:30:22 time: 0.7747 data_time: 0.0232 memory: 27786 loss: 0.0943 loss_text: 0.0610 loss_kernel: 0.0332 2022/11/01 15:40:29 - mmengine - INFO - Epoch(train) [59][45/63] lr: 1.0000e-04 eta: 20:30:22 time: 0.7796 data_time: 0.0207 memory: 27786 loss: 0.0968 loss_text: 0.0640 loss_kernel: 0.0327 2022/11/01 15:40:33 - mmengine - INFO - Epoch(train) [59][50/63] lr: 1.0000e-04 eta: 20:26:48 time: 0.7851 data_time: 0.0249 memory: 27786 loss: 0.1029 loss_text: 0.0682 loss_kernel: 0.0346 2022/11/01 15:40:37 - mmengine - INFO - Epoch(train) [59][55/63] lr: 1.0000e-04 eta: 20:26:48 time: 0.7793 data_time: 0.0215 memory: 27786 loss: 0.0958 loss_text: 0.0621 loss_kernel: 0.0337 2022/11/01 15:40:40 - mmengine - INFO - Epoch(train) [59][60/63] lr: 1.0000e-04 eta: 20:23:15 time: 0.7854 data_time: 0.0188 memory: 27786 loss: 0.0849 loss_text: 0.0529 loss_kernel: 0.0319 2022/11/01 15:40:43 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:42:22 - mmengine - INFO - Epoch(train) [60][5/63] lr: 1.0000e-04 eta: 20:23:15 time: 10.3161 data_time: 9.5696 memory: 27786 loss: 0.1016 loss_text: 0.0666 loss_kernel: 0.0349 2022/11/01 15:42:26 - mmengine - INFO - Epoch(train) [60][10/63] lr: 1.0000e-04 eta: 20:40:11 time: 10.3577 data_time: 9.5826 memory: 27786 loss: 0.1013 loss_text: 0.0676 loss_kernel: 0.0337 2022/11/01 15:42:30 - mmengine - INFO - Epoch(train) [60][15/63] lr: 1.0000e-04 eta: 20:40:11 time: 0.7948 data_time: 0.0246 memory: 27786 loss: 0.0962 loss_text: 0.0639 loss_kernel: 0.0323 2022/11/01 15:42:34 - mmengine - INFO - Epoch(train) [60][20/63] lr: 1.0000e-04 eta: 20:36:39 time: 0.7990 data_time: 0.0212 memory: 27786 loss: 0.0933 loss_text: 0.0610 loss_kernel: 0.0323 2022/11/01 15:42:38 - mmengine - INFO - Epoch(train) [60][25/63] lr: 1.0000e-04 eta: 20:36:39 time: 0.7973 data_time: 0.0302 memory: 27786 loss: 0.0878 loss_text: 0.0557 loss_kernel: 0.0321 2022/11/01 15:42:42 - mmengine - INFO - Epoch(train) [60][30/63] lr: 1.0000e-04 eta: 20:33:05 time: 0.7771 data_time: 0.0200 memory: 27786 loss: 0.0905 loss_text: 0.0577 loss_kernel: 0.0328 2022/11/01 15:42:46 - mmengine - INFO - Epoch(train) [60][35/63] lr: 1.0000e-04 eta: 20:33:05 time: 0.7879 data_time: 0.0244 memory: 27786 loss: 0.0916 loss_text: 0.0585 loss_kernel: 0.0331 2022/11/01 15:42:50 - mmengine - INFO - Epoch(train) [60][40/63] lr: 1.0000e-04 eta: 20:29:35 time: 0.7894 data_time: 0.0228 memory: 27786 loss: 0.0953 loss_text: 0.0614 loss_kernel: 0.0339 2022/11/01 15:42:54 - mmengine - INFO - Epoch(train) [60][45/63] lr: 1.0000e-04 eta: 20:29:35 time: 0.7862 data_time: 0.0207 memory: 27786 loss: 0.1054 loss_text: 0.0687 loss_kernel: 0.0368 2022/11/01 15:42:58 - mmengine - INFO - Epoch(train) [60][50/63] lr: 1.0000e-04 eta: 20:26:08 time: 0.8029 data_time: 0.0351 memory: 27786 loss: 0.1145 loss_text: 0.0763 loss_kernel: 0.0382 2022/11/01 15:43:02 - mmengine - INFO - Epoch(train) [60][55/63] lr: 1.0000e-04 eta: 20:26:08 time: 0.7904 data_time: 0.0258 memory: 27786 loss: 0.1085 loss_text: 0.0722 loss_kernel: 0.0364 2022/11/01 15:43:06 - mmengine - INFO - Epoch(train) [60][60/63] lr: 1.0000e-04 eta: 20:22:40 time: 0.7833 data_time: 0.0163 memory: 27786 loss: 0.0997 loss_text: 0.0645 loss_kernel: 0.0352 2022/11/01 15:43:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:43:08 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/11/01 15:44:52 - mmengine - INFO - Epoch(train) [61][5/63] lr: 1.0000e-04 eta: 20:22:40 time: 10.2764 data_time: 9.5400 memory: 27786 loss: 0.0950 loss_text: 0.0627 loss_kernel: 0.0323 2022/11/01 15:44:56 - mmengine - INFO - Epoch(train) [61][10/63] lr: 1.0000e-04 eta: 20:39:05 time: 10.3361 data_time: 9.5587 memory: 27786 loss: 0.1097 loss_text: 0.0734 loss_kernel: 0.0363 2022/11/01 15:45:00 - mmengine - INFO - Epoch(train) [61][15/63] lr: 1.0000e-04 eta: 20:39:05 time: 0.7944 data_time: 0.0246 memory: 27786 loss: 0.1092 loss_text: 0.0723 loss_kernel: 0.0369 2022/11/01 15:45:04 - mmengine - INFO - Epoch(train) [61][20/63] lr: 1.0000e-04 eta: 20:35:36 time: 0.7915 data_time: 0.0191 memory: 27786 loss: 0.0996 loss_text: 0.0649 loss_kernel: 0.0347 2022/11/01 15:45:08 - mmengine - INFO - Epoch(train) [61][25/63] lr: 1.0000e-04 eta: 20:35:36 time: 0.8137 data_time: 0.0320 memory: 27786 loss: 0.1042 loss_text: 0.0679 loss_kernel: 0.0362 2022/11/01 15:45:12 - mmengine - INFO - Epoch(train) [61][30/63] lr: 1.0000e-04 eta: 20:32:11 time: 0.7991 data_time: 0.0226 memory: 27786 loss: 0.0961 loss_text: 0.0631 loss_kernel: 0.0330 2022/11/01 15:45:16 - mmengine - INFO - Epoch(train) [61][35/63] lr: 1.0000e-04 eta: 20:32:11 time: 0.7990 data_time: 0.0226 memory: 27786 loss: 0.0919 loss_text: 0.0594 loss_kernel: 0.0325 2022/11/01 15:45:20 - mmengine - INFO - Epoch(train) [61][40/63] lr: 1.0000e-04 eta: 20:28:46 time: 0.8005 data_time: 0.0233 memory: 27786 loss: 0.0970 loss_text: 0.0632 loss_kernel: 0.0337 2022/11/01 15:45:24 - mmengine - INFO - Epoch(train) [61][45/63] lr: 1.0000e-04 eta: 20:28:46 time: 0.7831 data_time: 0.0199 memory: 27786 loss: 0.1081 loss_text: 0.0725 loss_kernel: 0.0357 2022/11/01 15:45:28 - mmengine - INFO - Epoch(train) [61][50/63] lr: 1.0000e-04 eta: 20:25:23 time: 0.7984 data_time: 0.0282 memory: 27786 loss: 0.1083 loss_text: 0.0718 loss_kernel: 0.0366 2022/11/01 15:45:32 - mmengine - INFO - Epoch(train) [61][55/63] lr: 1.0000e-04 eta: 20:25:23 time: 0.8095 data_time: 0.0242 memory: 27786 loss: 0.1028 loss_text: 0.0680 loss_kernel: 0.0349 2022/11/01 15:45:36 - mmengine - INFO - Epoch(train) [61][60/63] lr: 1.0000e-04 eta: 20:22:01 time: 0.7896 data_time: 0.0186 memory: 27786 loss: 0.1127 loss_text: 0.0776 loss_kernel: 0.0351 2022/11/01 15:45:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:47:17 - mmengine - INFO - Epoch(train) [62][5/63] lr: 1.0000e-04 eta: 20:22:01 time: 10.2333 data_time: 9.5026 memory: 27786 loss: 0.1045 loss_text: 0.0690 loss_kernel: 0.0356 2022/11/01 15:47:21 - mmengine - INFO - Epoch(train) [62][10/63] lr: 1.0000e-04 eta: 20:37:52 time: 10.2897 data_time: 9.5074 memory: 27786 loss: 0.1057 loss_text: 0.0690 loss_kernel: 0.0366 2022/11/01 15:47:25 - mmengine - INFO - Epoch(train) [62][15/63] lr: 1.0000e-04 eta: 20:37:52 time: 0.7956 data_time: 0.0262 memory: 27786 loss: 0.1209 loss_text: 0.0811 loss_kernel: 0.0398 2022/11/01 15:47:29 - mmengine - INFO - Epoch(train) [62][20/63] lr: 1.0000e-04 eta: 20:34:30 time: 0.8030 data_time: 0.0339 memory: 27786 loss: 0.1091 loss_text: 0.0728 loss_kernel: 0.0363 2022/11/01 15:47:33 - mmengine - INFO - Epoch(train) [62][25/63] lr: 1.0000e-04 eta: 20:34:30 time: 0.7916 data_time: 0.0261 memory: 27786 loss: 0.0985 loss_text: 0.0638 loss_kernel: 0.0347 2022/11/01 15:47:37 - mmengine - INFO - Epoch(train) [62][30/63] lr: 1.0000e-04 eta: 20:31:06 time: 0.7832 data_time: 0.0195 memory: 27786 loss: 0.1003 loss_text: 0.0645 loss_kernel: 0.0357 2022/11/01 15:47:41 - mmengine - INFO - Epoch(train) [62][35/63] lr: 1.0000e-04 eta: 20:31:06 time: 0.7921 data_time: 0.0228 memory: 27786 loss: 0.1023 loss_text: 0.0662 loss_kernel: 0.0361 2022/11/01 15:47:45 - mmengine - INFO - Epoch(train) [62][40/63] lr: 1.0000e-04 eta: 20:27:45 time: 0.7850 data_time: 0.0215 memory: 27786 loss: 0.1211 loss_text: 0.0800 loss_kernel: 0.0411 2022/11/01 15:47:49 - mmengine - INFO - Epoch(train) [62][45/63] lr: 1.0000e-04 eta: 20:27:45 time: 0.7882 data_time: 0.0280 memory: 27786 loss: 0.1165 loss_text: 0.0788 loss_kernel: 0.0376 2022/11/01 15:47:53 - mmengine - INFO - Epoch(train) [62][50/63] lr: 1.0000e-04 eta: 20:24:25 time: 0.7885 data_time: 0.0265 memory: 27786 loss: 0.1112 loss_text: 0.0763 loss_kernel: 0.0349 2022/11/01 15:47:56 - mmengine - INFO - Epoch(train) [62][55/63] lr: 1.0000e-04 eta: 20:24:25 time: 0.7861 data_time: 0.0186 memory: 27786 loss: 0.1192 loss_text: 0.0815 loss_kernel: 0.0377 2022/11/01 15:48:00 - mmengine - INFO - Epoch(train) [62][60/63] lr: 1.0000e-04 eta: 20:21:05 time: 0.7798 data_time: 0.0211 memory: 27786 loss: 0.1186 loss_text: 0.0809 loss_kernel: 0.0377 2022/11/01 15:48:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:49:41 - mmengine - INFO - Epoch(train) [63][5/63] lr: 1.0000e-04 eta: 20:21:05 time: 10.2645 data_time: 9.5230 memory: 27786 loss: 0.1070 loss_text: 0.0709 loss_kernel: 0.0361 2022/11/01 15:49:46 - mmengine - INFO - Epoch(train) [63][10/63] lr: 1.0000e-04 eta: 20:36:36 time: 10.3234 data_time: 9.5362 memory: 27786 loss: 0.1072 loss_text: 0.0725 loss_kernel: 0.0348 2022/11/01 15:49:49 - mmengine - INFO - Epoch(train) [63][15/63] lr: 1.0000e-04 eta: 20:36:36 time: 0.7898 data_time: 0.0235 memory: 27786 loss: 0.1058 loss_text: 0.0715 loss_kernel: 0.0343 2022/11/01 15:49:53 - mmengine - INFO - Epoch(train) [63][20/63] lr: 1.0000e-04 eta: 20:33:15 time: 0.7851 data_time: 0.0220 memory: 27786 loss: 0.1099 loss_text: 0.0730 loss_kernel: 0.0369 2022/11/01 15:49:57 - mmengine - INFO - Epoch(train) [63][25/63] lr: 1.0000e-04 eta: 20:33:15 time: 0.8069 data_time: 0.0254 memory: 27786 loss: 0.1176 loss_text: 0.0771 loss_kernel: 0.0405 2022/11/01 15:50:01 - mmengine - INFO - Epoch(train) [63][30/63] lr: 1.0000e-04 eta: 20:29:58 time: 0.7954 data_time: 0.0180 memory: 27786 loss: 0.1135 loss_text: 0.0743 loss_kernel: 0.0392 2022/11/01 15:50:05 - mmengine - INFO - Epoch(train) [63][35/63] lr: 1.0000e-04 eta: 20:29:58 time: 0.7906 data_time: 0.0278 memory: 27786 loss: 0.1032 loss_text: 0.0677 loss_kernel: 0.0355 2022/11/01 15:50:09 - mmengine - INFO - Epoch(train) [63][40/63] lr: 1.0000e-04 eta: 20:26:40 time: 0.7877 data_time: 0.0214 memory: 27786 loss: 0.0996 loss_text: 0.0646 loss_kernel: 0.0351 2022/11/01 15:50:13 - mmengine - INFO - Epoch(train) [63][45/63] lr: 1.0000e-04 eta: 20:26:40 time: 0.8027 data_time: 0.0192 memory: 27786 loss: 0.0984 loss_text: 0.0642 loss_kernel: 0.0343 2022/11/01 15:50:17 - mmengine - INFO - Epoch(train) [63][50/63] lr: 1.0000e-04 eta: 20:23:27 time: 0.8080 data_time: 0.0281 memory: 27786 loss: 0.1094 loss_text: 0.0717 loss_kernel: 0.0378 2022/11/01 15:50:21 - mmengine - INFO - Epoch(train) [63][55/63] lr: 1.0000e-04 eta: 20:23:27 time: 0.7743 data_time: 0.0204 memory: 27786 loss: 0.1088 loss_text: 0.0710 loss_kernel: 0.0378 2022/11/01 15:50:25 - mmengine - INFO - Epoch(train) [63][60/63] lr: 1.0000e-04 eta: 20:20:10 time: 0.7629 data_time: 0.0158 memory: 27786 loss: 0.0932 loss_text: 0.0606 loss_kernel: 0.0327 2022/11/01 15:50:27 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:52:06 - mmengine - INFO - Epoch(train) [64][5/63] lr: 1.0000e-04 eta: 20:20:10 time: 10.2842 data_time: 9.5299 memory: 27786 loss: 0.0881 loss_text: 0.0588 loss_kernel: 0.0293 2022/11/01 15:52:10 - mmengine - INFO - Epoch(train) [64][10/63] lr: 1.0000e-04 eta: 20:35:18 time: 10.3445 data_time: 9.5383 memory: 27786 loss: 0.0957 loss_text: 0.0628 loss_kernel: 0.0329 2022/11/01 15:52:14 - mmengine - INFO - Epoch(train) [64][15/63] lr: 1.0000e-04 eta: 20:35:18 time: 0.7993 data_time: 0.0256 memory: 27786 loss: 0.0992 loss_text: 0.0648 loss_kernel: 0.0344 2022/11/01 15:52:18 - mmengine - INFO - Epoch(train) [64][20/63] lr: 1.0000e-04 eta: 20:32:03 time: 0.7933 data_time: 0.0319 memory: 27786 loss: 0.0975 loss_text: 0.0636 loss_kernel: 0.0339 2022/11/01 15:52:22 - mmengine - INFO - Epoch(train) [64][25/63] lr: 1.0000e-04 eta: 20:32:03 time: 0.7993 data_time: 0.0276 memory: 27786 loss: 0.0943 loss_text: 0.0617 loss_kernel: 0.0326 2022/11/01 15:52:26 - mmengine - INFO - Epoch(train) [64][30/63] lr: 1.0000e-04 eta: 20:28:50 time: 0.8000 data_time: 0.0212 memory: 27786 loss: 0.0941 loss_text: 0.0618 loss_kernel: 0.0323 2022/11/01 15:52:27 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:52:30 - mmengine - INFO - Epoch(train) [64][35/63] lr: 1.0000e-04 eta: 20:28:50 time: 0.7960 data_time: 0.0235 memory: 27786 loss: 0.0987 loss_text: 0.0654 loss_kernel: 0.0332 2022/11/01 15:52:34 - mmengine - INFO - Epoch(train) [64][40/63] lr: 1.0000e-04 eta: 20:25:37 time: 0.7900 data_time: 0.0229 memory: 27786 loss: 0.0948 loss_text: 0.0637 loss_kernel: 0.0312 2022/11/01 15:52:38 - mmengine - INFO - Epoch(train) [64][45/63] lr: 1.0000e-04 eta: 20:25:37 time: 0.7943 data_time: 0.0295 memory: 27786 loss: 0.0946 loss_text: 0.0623 loss_kernel: 0.0323 2022/11/01 15:52:42 - mmengine - INFO - Epoch(train) [64][50/63] lr: 1.0000e-04 eta: 20:22:27 time: 0.7957 data_time: 0.0308 memory: 27786 loss: 0.1051 loss_text: 0.0679 loss_kernel: 0.0373 2022/11/01 15:52:46 - mmengine - INFO - Epoch(train) [64][55/63] lr: 1.0000e-04 eta: 20:22:27 time: 0.7917 data_time: 0.0247 memory: 27786 loss: 0.1116 loss_text: 0.0726 loss_kernel: 0.0389 2022/11/01 15:52:50 - mmengine - INFO - Epoch(train) [64][60/63] lr: 1.0000e-04 eta: 20:19:16 time: 0.7843 data_time: 0.0222 memory: 27786 loss: 0.1043 loss_text: 0.0679 loss_kernel: 0.0364 2022/11/01 15:52:52 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:54:31 - mmengine - INFO - Epoch(train) [65][5/63] lr: 1.0000e-04 eta: 20:19:16 time: 10.2674 data_time: 9.5416 memory: 27786 loss: 0.0865 loss_text: 0.0554 loss_kernel: 0.0311 2022/11/01 15:54:35 - mmengine - INFO - Epoch(train) [65][10/63] lr: 1.0000e-04 eta: 20:34:00 time: 10.3314 data_time: 9.5535 memory: 27786 loss: 0.0998 loss_text: 0.0650 loss_kernel: 0.0348 2022/11/01 15:54:39 - mmengine - INFO - Epoch(train) [65][15/63] lr: 1.0000e-04 eta: 20:34:00 time: 0.7988 data_time: 0.0240 memory: 27786 loss: 0.1023 loss_text: 0.0661 loss_kernel: 0.0362 2022/11/01 15:54:43 - mmengine - INFO - Epoch(train) [65][20/63] lr: 1.0000e-04 eta: 20:30:48 time: 0.7869 data_time: 0.0221 memory: 27786 loss: 0.0966 loss_text: 0.0610 loss_kernel: 0.0356 2022/11/01 15:54:47 - mmengine - INFO - Epoch(train) [65][25/63] lr: 1.0000e-04 eta: 20:30:48 time: 0.7932 data_time: 0.0321 memory: 27786 loss: 0.0998 loss_text: 0.0644 loss_kernel: 0.0354 2022/11/01 15:54:51 - mmengine - INFO - Epoch(train) [65][30/63] lr: 1.0000e-04 eta: 20:27:37 time: 0.7865 data_time: 0.0212 memory: 27786 loss: 0.1033 loss_text: 0.0681 loss_kernel: 0.0352 2022/11/01 15:54:55 - mmengine - INFO - Epoch(train) [65][35/63] lr: 1.0000e-04 eta: 20:27:37 time: 0.8015 data_time: 0.0245 memory: 27786 loss: 0.1141 loss_text: 0.0766 loss_kernel: 0.0375 2022/11/01 15:54:59 - mmengine - INFO - Epoch(train) [65][40/63] lr: 1.0000e-04 eta: 20:24:29 time: 0.7996 data_time: 0.0240 memory: 27786 loss: 0.1051 loss_text: 0.0704 loss_kernel: 0.0347 2022/11/01 15:55:03 - mmengine - INFO - Epoch(train) [65][45/63] lr: 1.0000e-04 eta: 20:24:29 time: 0.7910 data_time: 0.0218 memory: 27786 loss: 0.0877 loss_text: 0.0567 loss_kernel: 0.0310 2022/11/01 15:55:07 - mmengine - INFO - Epoch(train) [65][50/63] lr: 1.0000e-04 eta: 20:21:23 time: 0.8055 data_time: 0.0342 memory: 27786 loss: 0.0937 loss_text: 0.0595 loss_kernel: 0.0342 2022/11/01 15:55:11 - mmengine - INFO - Epoch(train) [65][55/63] lr: 1.0000e-04 eta: 20:21:23 time: 0.7881 data_time: 0.0233 memory: 27786 loss: 0.0979 loss_text: 0.0631 loss_kernel: 0.0348 2022/11/01 15:55:15 - mmengine - INFO - Epoch(train) [65][60/63] lr: 1.0000e-04 eta: 20:18:17 time: 0.7937 data_time: 0.0169 memory: 27786 loss: 0.0980 loss_text: 0.0642 loss_kernel: 0.0337 2022/11/01 15:55:17 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:56:56 - mmengine - INFO - Epoch(train) [66][5/63] lr: 1.0000e-04 eta: 20:18:17 time: 10.2278 data_time: 9.4635 memory: 27786 loss: 0.0952 loss_text: 0.0623 loss_kernel: 0.0330 2022/11/01 15:57:00 - mmengine - INFO - Epoch(train) [66][10/63] lr: 1.0000e-04 eta: 20:32:31 time: 10.2605 data_time: 9.4630 memory: 27786 loss: 0.1040 loss_text: 0.0677 loss_kernel: 0.0363 2022/11/01 15:57:04 - mmengine - INFO - Epoch(train) [66][15/63] lr: 1.0000e-04 eta: 20:32:31 time: 0.8070 data_time: 0.0351 memory: 27786 loss: 0.0992 loss_text: 0.0638 loss_kernel: 0.0354 2022/11/01 15:57:08 - mmengine - INFO - Epoch(train) [66][20/63] lr: 1.0000e-04 eta: 20:29:27 time: 0.8245 data_time: 0.0482 memory: 27786 loss: 0.1002 loss_text: 0.0652 loss_kernel: 0.0350 2022/11/01 15:57:12 - mmengine - INFO - Epoch(train) [66][25/63] lr: 1.0000e-04 eta: 20:29:27 time: 0.7978 data_time: 0.0208 memory: 27786 loss: 0.0971 loss_text: 0.0642 loss_kernel: 0.0329 2022/11/01 15:57:16 - mmengine - INFO - Epoch(train) [66][30/63] lr: 1.0000e-04 eta: 20:26:21 time: 0.7974 data_time: 0.0200 memory: 27786 loss: 0.0870 loss_text: 0.0549 loss_kernel: 0.0321 2022/11/01 15:57:20 - mmengine - INFO - Epoch(train) [66][35/63] lr: 1.0000e-04 eta: 20:26:21 time: 0.8150 data_time: 0.0287 memory: 27786 loss: 0.0913 loss_text: 0.0569 loss_kernel: 0.0344 2022/11/01 15:57:24 - mmengine - INFO - Epoch(train) [66][40/63] lr: 1.0000e-04 eta: 20:23:18 time: 0.8043 data_time: 0.0216 memory: 27786 loss: 0.0978 loss_text: 0.0642 loss_kernel: 0.0336 2022/11/01 15:57:28 - mmengine - INFO - Epoch(train) [66][45/63] lr: 1.0000e-04 eta: 20:23:18 time: 0.8091 data_time: 0.0399 memory: 27786 loss: 0.0995 loss_text: 0.0669 loss_kernel: 0.0326 2022/11/01 15:57:32 - mmengine - INFO - Epoch(train) [66][50/63] lr: 1.0000e-04 eta: 20:20:15 time: 0.8018 data_time: 0.0374 memory: 27786 loss: 0.1078 loss_text: 0.0702 loss_kernel: 0.0376 2022/11/01 15:57:36 - mmengine - INFO - Epoch(train) [66][55/63] lr: 1.0000e-04 eta: 20:20:15 time: 0.7724 data_time: 0.0192 memory: 27786 loss: 0.1091 loss_text: 0.0719 loss_kernel: 0.0372 2022/11/01 15:57:40 - mmengine - INFO - Epoch(train) [66][60/63] lr: 1.0000e-04 eta: 20:17:11 time: 0.7812 data_time: 0.0242 memory: 27786 loss: 0.1019 loss_text: 0.0677 loss_kernel: 0.0343 2022/11/01 15:57:42 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 15:59:22 - mmengine - INFO - Epoch(train) [67][5/63] lr: 1.0000e-04 eta: 20:17:11 time: 10.3728 data_time: 9.6061 memory: 27786 loss: 0.1036 loss_text: 0.0672 loss_kernel: 0.0364 2022/11/01 15:59:26 - mmengine - INFO - Epoch(train) [67][10/63] lr: 1.0000e-04 eta: 20:31:21 time: 10.4100 data_time: 9.6056 memory: 27786 loss: 0.0935 loss_text: 0.0610 loss_kernel: 0.0325 2022/11/01 15:59:30 - mmengine - INFO - Epoch(train) [67][15/63] lr: 1.0000e-04 eta: 20:31:21 time: 0.8144 data_time: 0.0325 memory: 27786 loss: 0.0930 loss_text: 0.0597 loss_kernel: 0.0333 2022/11/01 15:59:34 - mmengine - INFO - Epoch(train) [67][20/63] lr: 1.0000e-04 eta: 20:28:21 time: 0.8284 data_time: 0.0443 memory: 27786 loss: 0.0986 loss_text: 0.0638 loss_kernel: 0.0348 2022/11/01 15:59:38 - mmengine - INFO - Epoch(train) [67][25/63] lr: 1.0000e-04 eta: 20:28:21 time: 0.7978 data_time: 0.0241 memory: 27786 loss: 0.1024 loss_text: 0.0668 loss_kernel: 0.0356 2022/11/01 15:59:42 - mmengine - INFO - Epoch(train) [67][30/63] lr: 1.0000e-04 eta: 20:25:18 time: 0.7896 data_time: 0.0198 memory: 27786 loss: 0.0948 loss_text: 0.0613 loss_kernel: 0.0335 2022/11/01 15:59:46 - mmengine - INFO - Epoch(train) [67][35/63] lr: 1.0000e-04 eta: 20:25:18 time: 0.7947 data_time: 0.0275 memory: 27786 loss: 0.0878 loss_text: 0.0574 loss_kernel: 0.0304 2022/11/01 15:59:50 - mmengine - INFO - Epoch(train) [67][40/63] lr: 1.0000e-04 eta: 20:22:18 time: 0.7976 data_time: 0.0200 memory: 27786 loss: 0.1072 loss_text: 0.0707 loss_kernel: 0.0365 2022/11/01 15:59:54 - mmengine - INFO - Epoch(train) [67][45/63] lr: 1.0000e-04 eta: 20:22:18 time: 0.8113 data_time: 0.0239 memory: 27786 loss: 0.1102 loss_text: 0.0733 loss_kernel: 0.0370 2022/11/01 15:59:58 - mmengine - INFO - Epoch(train) [67][50/63] lr: 1.0000e-04 eta: 20:19:17 time: 0.7882 data_time: 0.0211 memory: 27786 loss: 0.1119 loss_text: 0.0784 loss_kernel: 0.0335 2022/11/01 16:00:02 - mmengine - INFO - Epoch(train) [67][55/63] lr: 1.0000e-04 eta: 20:19:17 time: 0.7793 data_time: 0.0182 memory: 27786 loss: 0.1387 loss_text: 0.0962 loss_kernel: 0.0425 2022/11/01 16:00:06 - mmengine - INFO - Epoch(train) [67][60/63] lr: 1.0000e-04 eta: 20:16:16 time: 0.7814 data_time: 0.0241 memory: 27786 loss: 0.1334 loss_text: 0.0903 loss_kernel: 0.0431 2022/11/01 16:00:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:01:49 - mmengine - INFO - Epoch(train) [68][5/63] lr: 1.0000e-04 eta: 20:16:16 time: 10.4508 data_time: 9.7177 memory: 27786 loss: 0.1090 loss_text: 0.0739 loss_kernel: 0.0351 2022/11/01 16:01:53 - mmengine - INFO - Epoch(train) [68][10/63] lr: 1.0000e-04 eta: 20:30:16 time: 10.5041 data_time: 9.7315 memory: 27786 loss: 0.1104 loss_text: 0.0751 loss_kernel: 0.0353 2022/11/01 16:01:57 - mmengine - INFO - Epoch(train) [68][15/63] lr: 1.0000e-04 eta: 20:30:16 time: 0.7937 data_time: 0.0250 memory: 27786 loss: 0.1117 loss_text: 0.0738 loss_kernel: 0.0379 2022/11/01 16:02:01 - mmengine - INFO - Epoch(train) [68][20/63] lr: 1.0000e-04 eta: 20:27:14 time: 0.7785 data_time: 0.0186 memory: 27786 loss: 0.1043 loss_text: 0.0686 loss_kernel: 0.0357 2022/11/01 16:02:05 - mmengine - INFO - Epoch(train) [68][25/63] lr: 1.0000e-04 eta: 20:27:14 time: 0.7915 data_time: 0.0319 memory: 27786 loss: 0.0941 loss_text: 0.0630 loss_kernel: 0.0311 2022/11/01 16:02:09 - mmengine - INFO - Epoch(train) [68][30/63] lr: 1.0000e-04 eta: 20:24:14 time: 0.7883 data_time: 0.0231 memory: 27786 loss: 0.1044 loss_text: 0.0687 loss_kernel: 0.0357 2022/11/01 16:02:13 - mmengine - INFO - Epoch(train) [68][35/63] lr: 1.0000e-04 eta: 20:24:14 time: 0.7875 data_time: 0.0207 memory: 27786 loss: 0.1003 loss_text: 0.0652 loss_kernel: 0.0351 2022/11/01 16:02:16 - mmengine - INFO - Epoch(train) [68][40/63] lr: 1.0000e-04 eta: 20:21:15 time: 0.7829 data_time: 0.0242 memory: 27786 loss: 0.0869 loss_text: 0.0568 loss_kernel: 0.0301 2022/11/01 16:02:20 - mmengine - INFO - Epoch(train) [68][45/63] lr: 1.0000e-04 eta: 20:21:15 time: 0.7751 data_time: 0.0241 memory: 27786 loss: 0.0874 loss_text: 0.0568 loss_kernel: 0.0306 2022/11/01 16:02:24 - mmengine - INFO - Epoch(train) [68][50/63] lr: 1.0000e-04 eta: 20:18:16 time: 0.7752 data_time: 0.0308 memory: 27786 loss: 0.0912 loss_text: 0.0588 loss_kernel: 0.0324 2022/11/01 16:02:28 - mmengine - INFO - Epoch(train) [68][55/63] lr: 1.0000e-04 eta: 20:18:16 time: 0.7621 data_time: 0.0235 memory: 27786 loss: 0.0962 loss_text: 0.0631 loss_kernel: 0.0332 2022/11/01 16:02:32 - mmengine - INFO - Epoch(train) [68][60/63] lr: 1.0000e-04 eta: 20:15:17 time: 0.7627 data_time: 0.0165 memory: 27786 loss: 0.0974 loss_text: 0.0635 loss_kernel: 0.0339 2022/11/01 16:02:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:04:14 - mmengine - INFO - Epoch(train) [69][5/63] lr: 1.0000e-04 eta: 20:15:17 time: 10.3409 data_time: 9.6097 memory: 27786 loss: 0.1063 loss_text: 0.0722 loss_kernel: 0.0341 2022/11/01 16:04:18 - mmengine - INFO - Epoch(train) [69][10/63] lr: 1.0000e-04 eta: 20:28:46 time: 10.4072 data_time: 9.6210 memory: 27786 loss: 0.1035 loss_text: 0.0696 loss_kernel: 0.0339 2022/11/01 16:04:22 - mmengine - INFO - Epoch(train) [69][15/63] lr: 1.0000e-04 eta: 20:28:46 time: 0.8092 data_time: 0.0272 memory: 27786 loss: 0.1145 loss_text: 0.0770 loss_kernel: 0.0376 2022/11/01 16:04:26 - mmengine - INFO - Epoch(train) [69][20/63] lr: 1.0000e-04 eta: 20:25:53 time: 0.8240 data_time: 0.0366 memory: 27786 loss: 0.1065 loss_text: 0.0710 loss_kernel: 0.0355 2022/11/01 16:04:30 - mmengine - INFO - Epoch(train) [69][25/63] lr: 1.0000e-04 eta: 20:25:53 time: 0.8207 data_time: 0.0368 memory: 27786 loss: 0.0957 loss_text: 0.0618 loss_kernel: 0.0339 2022/11/01 16:04:34 - mmengine - INFO - Epoch(train) [69][30/63] lr: 1.0000e-04 eta: 20:22:57 time: 0.7905 data_time: 0.0191 memory: 27786 loss: 0.1017 loss_text: 0.0668 loss_kernel: 0.0349 2022/11/01 16:04:38 - mmengine - INFO - Epoch(train) [69][35/63] lr: 1.0000e-04 eta: 20:22:57 time: 0.7883 data_time: 0.0217 memory: 27786 loss: 0.1043 loss_text: 0.0693 loss_kernel: 0.0350 2022/11/01 16:04:42 - mmengine - INFO - Epoch(train) [69][40/63] lr: 1.0000e-04 eta: 20:20:02 time: 0.7975 data_time: 0.0228 memory: 27786 loss: 0.1016 loss_text: 0.0675 loss_kernel: 0.0341 2022/11/01 16:04:46 - mmengine - INFO - Epoch(train) [69][45/63] lr: 1.0000e-04 eta: 20:20:02 time: 0.7988 data_time: 0.0236 memory: 27786 loss: 0.1054 loss_text: 0.0707 loss_kernel: 0.0347 2022/11/01 16:04:50 - mmengine - INFO - Epoch(train) [69][50/63] lr: 1.0000e-04 eta: 20:17:08 time: 0.7848 data_time: 0.0290 memory: 27786 loss: 0.1107 loss_text: 0.0747 loss_kernel: 0.0360 2022/11/01 16:04:54 - mmengine - INFO - Epoch(train) [69][55/63] lr: 1.0000e-04 eta: 20:17:08 time: 0.7855 data_time: 0.0295 memory: 27786 loss: 0.1008 loss_text: 0.0670 loss_kernel: 0.0339 2022/11/01 16:04:58 - mmengine - INFO - Epoch(train) [69][60/63] lr: 1.0000e-04 eta: 20:14:16 time: 0.7944 data_time: 0.0259 memory: 27786 loss: 0.0909 loss_text: 0.0598 loss_kernel: 0.0311 2022/11/01 16:05:00 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:06:41 - mmengine - INFO - Epoch(train) [70][5/63] lr: 1.0000e-04 eta: 20:14:16 time: 10.4296 data_time: 9.6966 memory: 27786 loss: 0.1048 loss_text: 0.0687 loss_kernel: 0.0361 2022/11/01 16:06:45 - mmengine - INFO - Epoch(train) [70][10/63] lr: 1.0000e-04 eta: 20:27:33 time: 10.4766 data_time: 9.7083 memory: 27786 loss: 0.0981 loss_text: 0.0654 loss_kernel: 0.0326 2022/11/01 16:06:48 - mmengine - INFO - Epoch(train) [70][15/63] lr: 1.0000e-04 eta: 20:27:33 time: 0.7752 data_time: 0.0227 memory: 27786 loss: 0.0933 loss_text: 0.0617 loss_kernel: 0.0316 2022/11/01 16:06:52 - mmengine - INFO - Epoch(train) [70][20/63] lr: 1.0000e-04 eta: 20:24:39 time: 0.7871 data_time: 0.0211 memory: 27786 loss: 0.0972 loss_text: 0.0636 loss_kernel: 0.0335 2022/11/01 16:06:56 - mmengine - INFO - Epoch(train) [70][25/63] lr: 1.0000e-04 eta: 20:24:39 time: 0.8043 data_time: 0.0339 memory: 27786 loss: 0.0982 loss_text: 0.0637 loss_kernel: 0.0345 2022/11/01 16:07:00 - mmengine - INFO - Epoch(train) [70][30/63] lr: 1.0000e-04 eta: 20:21:44 time: 0.7776 data_time: 0.0207 memory: 27786 loss: 0.1096 loss_text: 0.0724 loss_kernel: 0.0372 2022/11/01 16:07:04 - mmengine - INFO - Epoch(train) [70][35/63] lr: 1.0000e-04 eta: 20:21:44 time: 0.7857 data_time: 0.0188 memory: 27786 loss: 0.1069 loss_text: 0.0709 loss_kernel: 0.0360 2022/11/01 16:07:08 - mmengine - INFO - Epoch(train) [70][40/63] lr: 1.0000e-04 eta: 20:18:53 time: 0.7930 data_time: 0.0205 memory: 27786 loss: 0.0870 loss_text: 0.0550 loss_kernel: 0.0321 2022/11/01 16:07:12 - mmengine - INFO - Epoch(train) [70][45/63] lr: 1.0000e-04 eta: 20:18:53 time: 0.7825 data_time: 0.0175 memory: 27786 loss: 0.0904 loss_text: 0.0586 loss_kernel: 0.0318 2022/11/01 16:07:16 - mmengine - INFO - Epoch(train) [70][50/63] lr: 1.0000e-04 eta: 20:16:03 time: 0.7965 data_time: 0.0311 memory: 27786 loss: 0.0891 loss_text: 0.0591 loss_kernel: 0.0300 2022/11/01 16:07:20 - mmengine - INFO - Epoch(train) [70][55/63] lr: 1.0000e-04 eta: 20:16:03 time: 0.7920 data_time: 0.0260 memory: 27786 loss: 0.1040 loss_text: 0.0686 loss_kernel: 0.0354 2022/11/01 16:07:24 - mmengine - INFO - Epoch(train) [70][60/63] lr: 1.0000e-04 eta: 20:13:10 time: 0.7669 data_time: 0.0161 memory: 27786 loss: 0.1138 loss_text: 0.0762 loss_kernel: 0.0376 2022/11/01 16:07:26 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:09:06 - mmengine - INFO - Epoch(train) [71][5/63] lr: 1.0000e-04 eta: 20:13:10 time: 10.3677 data_time: 9.6392 memory: 27786 loss: 0.0897 loss_text: 0.0585 loss_kernel: 0.0313 2022/11/01 16:09:10 - mmengine - INFO - Epoch(train) [71][10/63] lr: 1.0000e-04 eta: 20:26:04 time: 10.4286 data_time: 9.6498 memory: 27786 loss: 0.0868 loss_text: 0.0559 loss_kernel: 0.0310 2022/11/01 16:09:14 - mmengine - INFO - Epoch(train) [71][15/63] lr: 1.0000e-04 eta: 20:26:04 time: 0.8041 data_time: 0.0275 memory: 27786 loss: 0.0887 loss_text: 0.0565 loss_kernel: 0.0322 2022/11/01 16:09:18 - mmengine - INFO - Epoch(train) [71][20/63] lr: 1.0000e-04 eta: 20:23:14 time: 0.8004 data_time: 0.0284 memory: 27786 loss: 0.1035 loss_text: 0.0680 loss_kernel: 0.0355 2022/11/01 16:09:22 - mmengine - INFO - Epoch(train) [71][25/63] lr: 1.0000e-04 eta: 20:23:14 time: 0.7970 data_time: 0.0307 memory: 27786 loss: 0.1020 loss_text: 0.0674 loss_kernel: 0.0345 2022/11/01 16:09:26 - mmengine - INFO - Epoch(train) [71][30/63] lr: 1.0000e-04 eta: 20:20:25 time: 0.7901 data_time: 0.0252 memory: 27786 loss: 0.0821 loss_text: 0.0522 loss_kernel: 0.0299 2022/11/01 16:09:30 - mmengine - INFO - Epoch(train) [71][35/63] lr: 1.0000e-04 eta: 20:20:25 time: 0.7823 data_time: 0.0207 memory: 27786 loss: 0.0948 loss_text: 0.0622 loss_kernel: 0.0326 2022/11/01 16:09:34 - mmengine - INFO - Epoch(train) [71][40/63] lr: 1.0000e-04 eta: 20:17:34 time: 0.7766 data_time: 0.0193 memory: 27786 loss: 0.1075 loss_text: 0.0719 loss_kernel: 0.0356 2022/11/01 16:09:38 - mmengine - INFO - Epoch(train) [71][45/63] lr: 1.0000e-04 eta: 20:17:34 time: 0.8041 data_time: 0.0301 memory: 27786 loss: 0.0944 loss_text: 0.0602 loss_kernel: 0.0343 2022/11/01 16:09:42 - mmengine - INFO - Epoch(train) [71][50/63] lr: 1.0000e-04 eta: 20:14:49 time: 0.8114 data_time: 0.0271 memory: 27786 loss: 0.0948 loss_text: 0.0616 loss_kernel: 0.0331 2022/11/01 16:09:46 - mmengine - INFO - Epoch(train) [71][55/63] lr: 1.0000e-04 eta: 20:14:49 time: 0.7896 data_time: 0.0218 memory: 27786 loss: 0.1034 loss_text: 0.0688 loss_kernel: 0.0346 2022/11/01 16:09:50 - mmengine - INFO - Epoch(train) [71][60/63] lr: 1.0000e-04 eta: 20:12:01 time: 0.7824 data_time: 0.0228 memory: 27786 loss: 0.1011 loss_text: 0.0667 loss_kernel: 0.0344 2022/11/01 16:09:52 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:11:33 - mmengine - INFO - Epoch(train) [72][5/63] lr: 1.0000e-04 eta: 20:12:01 time: 10.4536 data_time: 9.7192 memory: 27786 loss: 0.1016 loss_text: 0.0657 loss_kernel: 0.0359 2022/11/01 16:11:37 - mmengine - INFO - Epoch(train) [72][10/63] lr: 1.0000e-04 eta: 20:24:47 time: 10.5226 data_time: 9.7358 memory: 27786 loss: 0.0981 loss_text: 0.0633 loss_kernel: 0.0349 2022/11/01 16:11:41 - mmengine - INFO - Epoch(train) [72][15/63] lr: 1.0000e-04 eta: 20:24:47 time: 0.8045 data_time: 0.0325 memory: 27786 loss: 0.0865 loss_text: 0.0571 loss_kernel: 0.0294 2022/11/01 16:11:45 - mmengine - INFO - Epoch(train) [72][20/63] lr: 1.0000e-04 eta: 20:22:00 time: 0.7923 data_time: 0.0248 memory: 27786 loss: 0.0853 loss_text: 0.0555 loss_kernel: 0.0297 2022/11/01 16:11:49 - mmengine - INFO - Epoch(train) [72][25/63] lr: 1.0000e-04 eta: 20:22:00 time: 0.7902 data_time: 0.0275 memory: 27786 loss: 0.0945 loss_text: 0.0612 loss_kernel: 0.0333 2022/11/01 16:11:53 - mmengine - INFO - Epoch(train) [72][30/63] lr: 1.0000e-04 eta: 20:19:12 time: 0.7841 data_time: 0.0272 memory: 27786 loss: 0.0986 loss_text: 0.0643 loss_kernel: 0.0343 2022/11/01 16:11:57 - mmengine - INFO - Epoch(train) [72][35/63] lr: 1.0000e-04 eta: 20:19:12 time: 0.7930 data_time: 0.0331 memory: 27786 loss: 0.0931 loss_text: 0.0614 loss_kernel: 0.0317 2022/11/01 16:12:01 - mmengine - INFO - Epoch(train) [72][40/63] lr: 1.0000e-04 eta: 20:16:26 time: 0.7926 data_time: 0.0257 memory: 27786 loss: 0.0880 loss_text: 0.0573 loss_kernel: 0.0307 2022/11/01 16:12:05 - mmengine - INFO - Epoch(train) [72][45/63] lr: 1.0000e-04 eta: 20:16:26 time: 0.7908 data_time: 0.0218 memory: 27786 loss: 0.0833 loss_text: 0.0533 loss_kernel: 0.0301 2022/11/01 16:12:09 - mmengine - INFO - Epoch(train) [72][50/63] lr: 1.0000e-04 eta: 20:13:43 time: 0.8062 data_time: 0.0326 memory: 27786 loss: 0.0872 loss_text: 0.0552 loss_kernel: 0.0320 2022/11/01 16:12:13 - mmengine - INFO - Epoch(train) [72][55/63] lr: 1.0000e-04 eta: 20:13:43 time: 0.7890 data_time: 0.0281 memory: 27786 loss: 0.0915 loss_text: 0.0579 loss_kernel: 0.0336 2022/11/01 16:12:17 - mmengine - INFO - Epoch(train) [72][60/63] lr: 1.0000e-04 eta: 20:10:59 time: 0.7867 data_time: 0.0176 memory: 27786 loss: 0.0870 loss_text: 0.0553 loss_kernel: 0.0316 2022/11/01 16:12:19 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:13:58 - mmengine - INFO - Epoch(train) [73][5/63] lr: 1.0000e-04 eta: 20:10:59 time: 10.2682 data_time: 9.5180 memory: 27786 loss: 0.0886 loss_text: 0.0572 loss_kernel: 0.0314 2022/11/01 16:14:02 - mmengine - INFO - Epoch(train) [73][10/63] lr: 1.0000e-04 eta: 20:23:10 time: 10.3407 data_time: 9.5351 memory: 27786 loss: 0.0861 loss_text: 0.0543 loss_kernel: 0.0318 2022/11/01 16:14:06 - mmengine - INFO - Epoch(train) [73][15/63] lr: 1.0000e-04 eta: 20:23:10 time: 0.8091 data_time: 0.0264 memory: 27786 loss: 0.0844 loss_text: 0.0524 loss_kernel: 0.0321 2022/11/01 16:14:10 - mmengine - INFO - Epoch(train) [73][20/63] lr: 1.0000e-04 eta: 20:20:27 time: 0.8129 data_time: 0.0428 memory: 27786 loss: 0.0850 loss_text: 0.0533 loss_kernel: 0.0318 2022/11/01 16:14:14 - mmengine - INFO - Epoch(train) [73][25/63] lr: 1.0000e-04 eta: 20:20:27 time: 0.8149 data_time: 0.0413 memory: 27786 loss: 0.0816 loss_text: 0.0519 loss_kernel: 0.0296 2022/11/01 16:14:18 - mmengine - INFO - Epoch(train) [73][30/63] lr: 1.0000e-04 eta: 20:17:42 time: 0.7799 data_time: 0.0181 memory: 27786 loss: 0.0942 loss_text: 0.0613 loss_kernel: 0.0328 2022/11/01 16:14:22 - mmengine - INFO - Epoch(train) [73][35/63] lr: 1.0000e-04 eta: 20:17:42 time: 0.7955 data_time: 0.0294 memory: 27786 loss: 0.0978 loss_text: 0.0643 loss_kernel: 0.0336 2022/11/01 16:14:26 - mmengine - INFO - Epoch(train) [73][40/63] lr: 1.0000e-04 eta: 20:14:58 time: 0.7872 data_time: 0.0212 memory: 27786 loss: 0.0898 loss_text: 0.0590 loss_kernel: 0.0308 2022/11/01 16:14:30 - mmengine - INFO - Epoch(train) [73][45/63] lr: 1.0000e-04 eta: 20:14:58 time: 0.7820 data_time: 0.0198 memory: 27786 loss: 0.0932 loss_text: 0.0610 loss_kernel: 0.0321 2022/11/01 16:14:34 - mmengine - INFO - Epoch(train) [73][50/63] lr: 1.0000e-04 eta: 20:12:18 time: 0.8108 data_time: 0.0284 memory: 27786 loss: 0.0999 loss_text: 0.0656 loss_kernel: 0.0342 2022/11/01 16:14:38 - mmengine - INFO - Epoch(train) [73][55/63] lr: 1.0000e-04 eta: 20:12:18 time: 0.7931 data_time: 0.0256 memory: 27786 loss: 0.1080 loss_text: 0.0715 loss_kernel: 0.0366 2022/11/01 16:14:42 - mmengine - INFO - Epoch(train) [73][60/63] lr: 1.0000e-04 eta: 20:09:36 time: 0.7839 data_time: 0.0215 memory: 27786 loss: 0.1071 loss_text: 0.0707 loss_kernel: 0.0364 2022/11/01 16:14:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:16:23 - mmengine - INFO - Epoch(train) [74][5/63] lr: 1.0000e-04 eta: 20:09:36 time: 10.3135 data_time: 9.5906 memory: 27786 loss: 0.1097 loss_text: 0.0723 loss_kernel: 0.0374 2022/11/01 16:16:27 - mmengine - INFO - Epoch(train) [74][10/63] lr: 1.0000e-04 eta: 20:21:34 time: 10.3680 data_time: 9.5877 memory: 27786 loss: 0.1066 loss_text: 0.0699 loss_kernel: 0.0366 2022/11/01 16:16:32 - mmengine - INFO - Epoch(train) [74][15/63] lr: 1.0000e-04 eta: 20:21:34 time: 0.8151 data_time: 0.0270 memory: 27786 loss: 0.0995 loss_text: 0.0659 loss_kernel: 0.0337 2022/11/01 16:16:36 - mmengine - INFO - Epoch(train) [74][20/63] lr: 1.0000e-04 eta: 20:18:54 time: 0.8162 data_time: 0.0412 memory: 27786 loss: 0.1026 loss_text: 0.0668 loss_kernel: 0.0358 2022/11/01 16:16:40 - mmengine - INFO - Epoch(train) [74][25/63] lr: 1.0000e-04 eta: 20:18:54 time: 0.7906 data_time: 0.0228 memory: 27786 loss: 0.1008 loss_text: 0.0646 loss_kernel: 0.0362 2022/11/01 16:16:43 - mmengine - INFO - Epoch(train) [74][30/63] lr: 1.0000e-04 eta: 20:16:13 time: 0.7853 data_time: 0.0201 memory: 27786 loss: 0.1054 loss_text: 0.0677 loss_kernel: 0.0377 2022/11/01 16:16:47 - mmengine - INFO - Epoch(train) [74][35/63] lr: 1.0000e-04 eta: 20:16:13 time: 0.7885 data_time: 0.0277 memory: 27786 loss: 0.1051 loss_text: 0.0687 loss_kernel: 0.0364 2022/11/01 16:16:51 - mmengine - INFO - Epoch(train) [74][40/63] lr: 1.0000e-04 eta: 20:13:31 time: 0.7793 data_time: 0.0218 memory: 27786 loss: 0.1018 loss_text: 0.0675 loss_kernel: 0.0342 2022/11/01 16:16:55 - mmengine - INFO - Epoch(train) [74][45/63] lr: 1.0000e-04 eta: 20:13:31 time: 0.7851 data_time: 0.0276 memory: 27786 loss: 0.1010 loss_text: 0.0678 loss_kernel: 0.0332 2022/11/01 16:16:59 - mmengine - INFO - Epoch(train) [74][50/63] lr: 1.0000e-04 eta: 20:10:52 time: 0.7875 data_time: 0.0207 memory: 27786 loss: 0.1084 loss_text: 0.0737 loss_kernel: 0.0348 2022/11/01 16:17:03 - mmengine - INFO - Epoch(train) [74][55/63] lr: 1.0000e-04 eta: 20:10:52 time: 0.7897 data_time: 0.0216 memory: 27786 loss: 0.1079 loss_text: 0.0732 loss_kernel: 0.0347 2022/11/01 16:17:07 - mmengine - INFO - Epoch(train) [74][60/63] lr: 1.0000e-04 eta: 20:08:13 time: 0.7861 data_time: 0.0273 memory: 27786 loss: 0.0969 loss_text: 0.0647 loss_kernel: 0.0322 2022/11/01 16:17:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:18:48 - mmengine - INFO - Epoch(train) [75][5/63] lr: 1.0000e-04 eta: 20:08:13 time: 10.2923 data_time: 9.5484 memory: 27786 loss: 0.0992 loss_text: 0.0644 loss_kernel: 0.0348 2022/11/01 16:18:53 - mmengine - INFO - Epoch(train) [75][10/63] lr: 1.0000e-04 eta: 20:19:53 time: 10.3478 data_time: 9.5606 memory: 27786 loss: 0.1045 loss_text: 0.0699 loss_kernel: 0.0347 2022/11/01 16:18:57 - mmengine - INFO - Epoch(train) [75][15/63] lr: 1.0000e-04 eta: 20:19:53 time: 0.8090 data_time: 0.0345 memory: 27786 loss: 0.0959 loss_text: 0.0623 loss_kernel: 0.0335 2022/11/01 16:19:00 - mmengine - INFO - Epoch(train) [75][20/63] lr: 1.0000e-04 eta: 20:17:12 time: 0.7751 data_time: 0.0211 memory: 27786 loss: 0.0909 loss_text: 0.0578 loss_kernel: 0.0330 2022/11/01 16:19:04 - mmengine - INFO - Epoch(train) [75][25/63] lr: 1.0000e-04 eta: 20:17:12 time: 0.7794 data_time: 0.0292 memory: 27786 loss: 0.0962 loss_text: 0.0622 loss_kernel: 0.0340 2022/11/01 16:19:08 - mmengine - INFO - Epoch(train) [75][30/63] lr: 1.0000e-04 eta: 20:14:34 time: 0.8008 data_time: 0.0330 memory: 27786 loss: 0.1012 loss_text: 0.0665 loss_kernel: 0.0348 2022/11/01 16:19:12 - mmengine - INFO - Epoch(train) [75][35/63] lr: 1.0000e-04 eta: 20:14:34 time: 0.7899 data_time: 0.0214 memory: 27786 loss: 0.0937 loss_text: 0.0609 loss_kernel: 0.0327 2022/11/01 16:19:16 - mmengine - INFO - Epoch(train) [75][40/63] lr: 1.0000e-04 eta: 20:11:56 time: 0.7849 data_time: 0.0200 memory: 27786 loss: 0.0945 loss_text: 0.0622 loss_kernel: 0.0323 2022/11/01 16:19:20 - mmengine - INFO - Epoch(train) [75][45/63] lr: 1.0000e-04 eta: 20:11:56 time: 0.7913 data_time: 0.0284 memory: 27786 loss: 0.1092 loss_text: 0.0733 loss_kernel: 0.0360 2022/11/01 16:19:24 - mmengine - INFO - Epoch(train) [75][50/63] lr: 1.0000e-04 eta: 20:09:20 time: 0.7928 data_time: 0.0297 memory: 27786 loss: 0.1105 loss_text: 0.0737 loss_kernel: 0.0367 2022/11/01 16:19:28 - mmengine - INFO - Epoch(train) [75][55/63] lr: 1.0000e-04 eta: 20:09:20 time: 0.7950 data_time: 0.0202 memory: 27786 loss: 0.1061 loss_text: 0.0701 loss_kernel: 0.0361 2022/11/01 16:19:32 - mmengine - INFO - Epoch(train) [75][60/63] lr: 1.0000e-04 eta: 20:06:44 time: 0.7951 data_time: 0.0158 memory: 27786 loss: 0.1020 loss_text: 0.0675 loss_kernel: 0.0345 2022/11/01 16:19:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:22:02 - mmengine - INFO - Epoch(train) [76][5/63] lr: 1.0000e-04 eta: 20:06:44 time: 15.1733 data_time: 14.4278 memory: 27786 loss: 0.0857 loss_text: 0.0547 loss_kernel: 0.0310 2022/11/01 16:22:06 - mmengine - INFO - Epoch(train) [76][10/63] lr: 1.0000e-04 eta: 20:25:50 time: 15.1897 data_time: 14.4416 memory: 27786 loss: 0.0783 loss_text: 0.0492 loss_kernel: 0.0291 2022/11/01 16:22:10 - mmengine - INFO - Epoch(train) [76][15/63] lr: 1.0000e-04 eta: 20:25:50 time: 0.7727 data_time: 0.0227 memory: 27786 loss: 0.0892 loss_text: 0.0582 loss_kernel: 0.0311 2022/11/01 16:22:14 - mmengine - INFO - Epoch(train) [76][20/63] lr: 1.0000e-04 eta: 20:23:09 time: 0.7588 data_time: 0.0175 memory: 27786 loss: 0.0911 loss_text: 0.0594 loss_kernel: 0.0317 2022/11/01 16:22:18 - mmengine - INFO - Epoch(train) [76][25/63] lr: 1.0000e-04 eta: 20:23:09 time: 0.7981 data_time: 0.0528 memory: 27786 loss: 0.0830 loss_text: 0.0528 loss_kernel: 0.0302 2022/11/01 16:22:22 - mmengine - INFO - Epoch(train) [76][30/63] lr: 1.0000e-04 eta: 20:20:32 time: 0.7989 data_time: 0.0434 memory: 27786 loss: 0.0977 loss_text: 0.0634 loss_kernel: 0.0343 2022/11/01 16:22:26 - mmengine - INFO - Epoch(train) [76][35/63] lr: 1.0000e-04 eta: 20:20:32 time: 0.7728 data_time: 0.0264 memory: 27786 loss: 0.1011 loss_text: 0.0666 loss_kernel: 0.0346 2022/11/01 16:22:29 - mmengine - INFO - Epoch(train) [76][40/63] lr: 1.0000e-04 eta: 20:17:54 time: 0.7766 data_time: 0.0297 memory: 27786 loss: 0.1024 loss_text: 0.0676 loss_kernel: 0.0348 2022/11/01 16:22:33 - mmengine - INFO - Epoch(train) [76][45/63] lr: 1.0000e-04 eta: 20:17:54 time: 0.7630 data_time: 0.0200 memory: 27786 loss: 0.0989 loss_text: 0.0652 loss_kernel: 0.0338 2022/11/01 16:22:37 - mmengine - INFO - Epoch(train) [76][50/63] lr: 1.0000e-04 eta: 20:15:17 time: 0.7703 data_time: 0.0273 memory: 27786 loss: 0.0958 loss_text: 0.0637 loss_kernel: 0.0320 2022/11/01 16:22:41 - mmengine - INFO - Epoch(train) [76][55/63] lr: 1.0000e-04 eta: 20:15:17 time: 0.7768 data_time: 0.0228 memory: 27786 loss: 0.1043 loss_text: 0.0692 loss_kernel: 0.0351 2022/11/01 16:22:45 - mmengine - INFO - Epoch(train) [76][60/63] lr: 1.0000e-04 eta: 20:12:40 time: 0.7718 data_time: 0.0151 memory: 27786 loss: 0.1011 loss_text: 0.0669 loss_kernel: 0.0341 2022/11/01 16:22:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:24:27 - mmengine - INFO - Epoch(train) [77][5/63] lr: 1.0000e-04 eta: 20:12:40 time: 10.3869 data_time: 9.6665 memory: 27786 loss: 0.0914 loss_text: 0.0609 loss_kernel: 0.0305 2022/11/01 16:24:31 - mmengine - INFO - Epoch(train) [77][10/63] lr: 1.0000e-04 eta: 20:23:58 time: 10.4399 data_time: 9.6768 memory: 27786 loss: 0.0863 loss_text: 0.0554 loss_kernel: 0.0309 2022/11/01 16:24:36 - mmengine - INFO - Epoch(train) [77][15/63] lr: 1.0000e-04 eta: 20:23:58 time: 0.8185 data_time: 0.0679 memory: 27786 loss: 0.0784 loss_text: 0.0496 loss_kernel: 0.0288 2022/11/01 16:24:40 - mmengine - INFO - Epoch(train) [77][20/63] lr: 1.0000e-04 eta: 20:21:32 time: 0.8920 data_time: 0.1427 memory: 27786 loss: 0.0830 loss_text: 0.0541 loss_kernel: 0.0289 2022/11/01 16:24:44 - mmengine - INFO - Epoch(train) [77][25/63] lr: 1.0000e-04 eta: 20:21:32 time: 0.8544 data_time: 0.0969 memory: 27786 loss: 0.0845 loss_text: 0.0543 loss_kernel: 0.0302 2022/11/01 16:24:48 - mmengine - INFO - Epoch(train) [77][30/63] lr: 1.0000e-04 eta: 20:18:56 time: 0.7755 data_time: 0.0202 memory: 27786 loss: 0.0848 loss_text: 0.0546 loss_kernel: 0.0302 2022/11/01 16:24:52 - mmengine - INFO - Epoch(train) [77][35/63] lr: 1.0000e-04 eta: 20:18:56 time: 0.7787 data_time: 0.0254 memory: 27786 loss: 0.0930 loss_text: 0.0608 loss_kernel: 0.0322 2022/11/01 16:24:56 - mmengine - INFO - Epoch(train) [77][40/63] lr: 1.0000e-04 eta: 20:16:20 time: 0.7753 data_time: 0.0189 memory: 27786 loss: 0.0876 loss_text: 0.0560 loss_kernel: 0.0316 2022/11/01 16:25:00 - mmengine - INFO - Epoch(train) [77][45/63] lr: 1.0000e-04 eta: 20:16:20 time: 0.7761 data_time: 0.0212 memory: 27786 loss: 0.0800 loss_text: 0.0509 loss_kernel: 0.0291 2022/11/01 16:25:03 - mmengine - INFO - Epoch(train) [77][50/63] lr: 1.0000e-04 eta: 20:13:46 time: 0.7762 data_time: 0.0238 memory: 27786 loss: 0.0858 loss_text: 0.0558 loss_kernel: 0.0300 2022/11/01 16:25:07 - mmengine - INFO - Epoch(train) [77][55/63] lr: 1.0000e-04 eta: 20:13:46 time: 0.7633 data_time: 0.0179 memory: 27786 loss: 0.0907 loss_text: 0.0585 loss_kernel: 0.0322 2022/11/01 16:25:11 - mmengine - INFO - Epoch(train) [77][60/63] lr: 1.0000e-04 eta: 20:11:11 time: 0.7613 data_time: 0.0243 memory: 27786 loss: 0.0887 loss_text: 0.0551 loss_kernel: 0.0336 2022/11/01 16:25:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:26:52 - mmengine - INFO - Epoch(train) [78][5/63] lr: 1.0000e-04 eta: 20:11:11 time: 10.1893 data_time: 9.4692 memory: 27786 loss: 0.0841 loss_text: 0.0524 loss_kernel: 0.0317 2022/11/01 16:26:56 - mmengine - INFO - Epoch(train) [78][10/63] lr: 1.0000e-04 eta: 20:22:04 time: 10.3238 data_time: 9.5522 memory: 27786 loss: 0.0928 loss_text: 0.0586 loss_kernel: 0.0342 2022/11/01 16:27:02 - mmengine - INFO - Epoch(train) [78][15/63] lr: 1.0000e-04 eta: 20:22:04 time: 1.0047 data_time: 0.2427 memory: 27786 loss: 0.0887 loss_text: 0.0567 loss_kernel: 0.0320 2022/11/01 16:27:06 - mmengine - INFO - Epoch(train) [78][20/63] lr: 1.0000e-04 eta: 20:19:44 time: 0.9325 data_time: 0.1756 memory: 27786 loss: 0.0779 loss_text: 0.0496 loss_kernel: 0.0283 2022/11/01 16:27:09 - mmengine - INFO - Epoch(train) [78][25/63] lr: 1.0000e-04 eta: 20:19:44 time: 0.7831 data_time: 0.0289 memory: 27786 loss: 0.0833 loss_text: 0.0537 loss_kernel: 0.0296 2022/11/01 16:27:13 - mmengine - INFO - Epoch(train) [78][30/63] lr: 1.0000e-04 eta: 20:17:10 time: 0.7796 data_time: 0.0189 memory: 27786 loss: 0.0880 loss_text: 0.0560 loss_kernel: 0.0321 2022/11/01 16:27:17 - mmengine - INFO - Epoch(train) [78][35/63] lr: 1.0000e-04 eta: 20:17:10 time: 0.7942 data_time: 0.0292 memory: 27786 loss: 0.0822 loss_text: 0.0509 loss_kernel: 0.0313 2022/11/01 16:27:21 - mmengine - INFO - Epoch(train) [78][40/63] lr: 1.0000e-04 eta: 20:14:39 time: 0.7873 data_time: 0.0255 memory: 27786 loss: 0.0822 loss_text: 0.0519 loss_kernel: 0.0303 2022/11/01 16:27:25 - mmengine - INFO - Epoch(train) [78][45/63] lr: 1.0000e-04 eta: 20:14:39 time: 0.7795 data_time: 0.0217 memory: 27786 loss: 0.0909 loss_text: 0.0584 loss_kernel: 0.0325 2022/11/01 16:27:29 - mmengine - INFO - Epoch(train) [78][50/63] lr: 1.0000e-04 eta: 20:12:06 time: 0.7754 data_time: 0.0217 memory: 27786 loss: 0.0994 loss_text: 0.0650 loss_kernel: 0.0344 2022/11/01 16:27:33 - mmengine - INFO - Epoch(train) [78][55/63] lr: 1.0000e-04 eta: 20:12:06 time: 0.8124 data_time: 0.0202 memory: 27786 loss: 0.0935 loss_text: 0.0606 loss_kernel: 0.0329 2022/11/01 16:27:37 - mmengine - INFO - Epoch(train) [78][60/63] lr: 1.0000e-04 eta: 20:09:39 time: 0.8161 data_time: 0.0220 memory: 27786 loss: 0.0837 loss_text: 0.0536 loss_kernel: 0.0301 2022/11/01 16:27:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:29:19 - mmengine - INFO - Epoch(train) [79][5/63] lr: 1.0000e-04 eta: 20:09:39 time: 10.3652 data_time: 9.5977 memory: 27786 loss: 0.1121 loss_text: 0.0724 loss_kernel: 0.0397 2022/11/01 16:29:23 - mmengine - INFO - Epoch(train) [79][10/63] lr: 1.0000e-04 eta: 20:20:28 time: 10.4222 data_time: 9.6161 memory: 27786 loss: 0.0959 loss_text: 0.0617 loss_kernel: 0.0342 2022/11/01 16:29:28 - mmengine - INFO - Epoch(train) [79][15/63] lr: 1.0000e-04 eta: 20:20:28 time: 0.8249 data_time: 0.0322 memory: 27786 loss: 0.0804 loss_text: 0.0518 loss_kernel: 0.0286 2022/11/01 16:29:32 - mmengine - INFO - Epoch(train) [79][20/63] lr: 1.0000e-04 eta: 20:17:59 time: 0.8162 data_time: 0.0178 memory: 27786 loss: 0.0949 loss_text: 0.0617 loss_kernel: 0.0332 2022/11/01 16:29:35 - mmengine - INFO - Epoch(train) [79][25/63] lr: 1.0000e-04 eta: 20:17:59 time: 0.7841 data_time: 0.0235 memory: 27786 loss: 0.0943 loss_text: 0.0611 loss_kernel: 0.0332 2022/11/01 16:29:40 - mmengine - INFO - Epoch(train) [79][30/63] lr: 1.0000e-04 eta: 20:15:31 time: 0.8099 data_time: 0.0216 memory: 27786 loss: 0.0823 loss_text: 0.0525 loss_kernel: 0.0298 2022/11/01 16:29:44 - mmengine - INFO - Epoch(train) [79][35/63] lr: 1.0000e-04 eta: 20:15:31 time: 0.8116 data_time: 0.0255 memory: 27786 loss: 0.0936 loss_text: 0.0617 loss_kernel: 0.0318 2022/11/01 16:29:47 - mmengine - INFO - Epoch(train) [79][40/63] lr: 1.0000e-04 eta: 20:13:00 time: 0.7698 data_time: 0.0230 memory: 27786 loss: 0.1035 loss_text: 0.0698 loss_kernel: 0.0337 2022/11/01 16:29:51 - mmengine - INFO - Epoch(train) [79][45/63] lr: 1.0000e-04 eta: 20:13:00 time: 0.7827 data_time: 0.0200 memory: 27786 loss: 0.1059 loss_text: 0.0694 loss_kernel: 0.0365 2022/11/01 16:29:55 - mmengine - INFO - Epoch(train) [79][50/63] lr: 1.0000e-04 eta: 20:10:32 time: 0.7972 data_time: 0.0312 memory: 27786 loss: 0.1078 loss_text: 0.0713 loss_kernel: 0.0365 2022/11/01 16:29:59 - mmengine - INFO - Epoch(train) [79][55/63] lr: 1.0000e-04 eta: 20:10:32 time: 0.7633 data_time: 0.0252 memory: 27786 loss: 0.0978 loss_text: 0.0640 loss_kernel: 0.0338 2022/11/01 16:30:03 - mmengine - INFO - Epoch(train) [79][60/63] lr: 1.0000e-04 eta: 20:08:01 time: 0.7515 data_time: 0.0144 memory: 27786 loss: 0.0858 loss_text: 0.0541 loss_kernel: 0.0317 2022/11/01 16:30:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:31:44 - mmengine - INFO - Epoch(train) [80][5/63] lr: 1.0000e-04 eta: 20:08:01 time: 10.3045 data_time: 9.5783 memory: 27786 loss: 0.0825 loss_text: 0.0519 loss_kernel: 0.0306 2022/11/01 16:31:48 - mmengine - INFO - Epoch(train) [80][10/63] lr: 1.0000e-04 eta: 20:18:32 time: 10.3664 data_time: 9.5946 memory: 27786 loss: 0.0950 loss_text: 0.0624 loss_kernel: 0.0327 2022/11/01 16:31:52 - mmengine - INFO - Epoch(train) [80][15/63] lr: 1.0000e-04 eta: 20:18:32 time: 0.7855 data_time: 0.0256 memory: 27786 loss: 0.0982 loss_text: 0.0649 loss_kernel: 0.0333 2022/11/01 16:31:56 - mmengine - INFO - Epoch(train) [80][20/63] lr: 1.0000e-04 eta: 20:16:02 time: 0.7753 data_time: 0.0205 memory: 27786 loss: 0.0857 loss_text: 0.0548 loss_kernel: 0.0309 2022/11/01 16:31:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:32:00 - mmengine - INFO - Epoch(train) [80][25/63] lr: 1.0000e-04 eta: 20:16:02 time: 0.7791 data_time: 0.0261 memory: 27786 loss: 0.0826 loss_text: 0.0527 loss_kernel: 0.0300 2022/11/01 16:32:04 - mmengine - INFO - Epoch(train) [80][30/63] lr: 1.0000e-04 eta: 20:13:35 time: 0.7946 data_time: 0.0224 memory: 27786 loss: 0.0819 loss_text: 0.0527 loss_kernel: 0.0291 2022/11/01 16:32:08 - mmengine - INFO - Epoch(train) [80][35/63] lr: 1.0000e-04 eta: 20:13:35 time: 0.8031 data_time: 0.0297 memory: 27786 loss: 0.0852 loss_text: 0.0553 loss_kernel: 0.0299 2022/11/01 16:32:12 - mmengine - INFO - Epoch(train) [80][40/63] lr: 1.0000e-04 eta: 20:11:08 time: 0.7889 data_time: 0.0240 memory: 27786 loss: 0.0968 loss_text: 0.0634 loss_kernel: 0.0334 2022/11/01 16:32:16 - mmengine - INFO - Epoch(train) [80][45/63] lr: 1.0000e-04 eta: 20:11:08 time: 0.7882 data_time: 0.0225 memory: 27786 loss: 0.0943 loss_text: 0.0622 loss_kernel: 0.0320 2022/11/01 16:32:20 - mmengine - INFO - Epoch(train) [80][50/63] lr: 1.0000e-04 eta: 20:08:41 time: 0.7897 data_time: 0.0324 memory: 27786 loss: 0.0829 loss_text: 0.0531 loss_kernel: 0.0298 2022/11/01 16:32:24 - mmengine - INFO - Epoch(train) [80][55/63] lr: 1.0000e-04 eta: 20:08:41 time: 0.7826 data_time: 0.0220 memory: 27786 loss: 0.0883 loss_text: 0.0559 loss_kernel: 0.0324 2022/11/01 16:32:28 - mmengine - INFO - Epoch(train) [80][60/63] lr: 1.0000e-04 eta: 20:06:14 time: 0.7748 data_time: 0.0134 memory: 27786 loss: 0.0983 loss_text: 0.0639 loss_kernel: 0.0344 2022/11/01 16:32:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:32:30 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/11/01 16:33:07 - mmengine - INFO - Epoch(val) [80][5/500] eta: 20:06:14 time: 3.2198 data_time: 3.1634 memory: 27786 2022/11/01 16:33:07 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:26:16 time: 3.2166 data_time: 3.1574 memory: 2082 2022/11/01 16:33:07 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:26:16 time: 0.0585 data_time: 0.0020 memory: 2007 2022/11/01 16:33:07 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:00:22 time: 0.0477 data_time: 0.0019 memory: 1705 2022/11/01 16:33:08 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:00:22 time: 0.0414 data_time: 0.0019 memory: 1705 2022/11/01 16:33:08 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:00:19 time: 0.0422 data_time: 0.0019 memory: 1705 2022/11/01 16:33:08 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:00:19 time: 0.0573 data_time: 0.0023 memory: 1705 2022/11/01 16:33:08 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:00:26 time: 0.0575 data_time: 0.0024 memory: 1743 2022/11/01 16:33:09 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:00:26 time: 0.0463 data_time: 0.0022 memory: 2082 2022/11/01 16:33:09 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:20 time: 0.0455 data_time: 0.0022 memory: 1818 2022/11/01 16:33:09 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:20 time: 0.0416 data_time: 0.0018 memory: 1781 2022/11/01 16:33:09 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:00:18 time: 0.0424 data_time: 0.0017 memory: 1705 2022/11/01 16:33:10 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:00:18 time: 0.0462 data_time: 0.0019 memory: 1818 2022/11/01 16:33:10 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:00:19 time: 0.0454 data_time: 0.0020 memory: 2082 2022/11/01 16:33:10 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:00:19 time: 0.0474 data_time: 0.0021 memory: 1818 2022/11/01 16:33:10 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:00:18 time: 0.0449 data_time: 0.0021 memory: 1705 2022/11/01 16:33:10 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:00:18 time: 0.0400 data_time: 0.0019 memory: 1705 2022/11/01 16:33:11 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:21 time: 0.0516 data_time: 0.0021 memory: 2082 2022/11/01 16:33:11 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:21 time: 0.0494 data_time: 0.0022 memory: 1743 2022/11/01 16:33:11 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:00:15 time: 0.0398 data_time: 0.0019 memory: 2082 2022/11/01 16:33:11 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:00:15 time: 0.0433 data_time: 0.0019 memory: 1705 2022/11/01 16:33:12 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:00:17 time: 0.0448 data_time: 0.0019 memory: 2082 2022/11/01 16:33:12 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:00:17 time: 0.0424 data_time: 0.0019 memory: 1705 2022/11/01 16:33:12 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:18 time: 0.0486 data_time: 0.0019 memory: 1705 2022/11/01 16:33:12 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:18 time: 0.0618 data_time: 0.0019 memory: 2082 2022/11/01 16:33:13 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:00:18 time: 0.0506 data_time: 0.0019 memory: 1705 2022/11/01 16:33:13 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:00:18 time: 0.0413 data_time: 0.0017 memory: 1856 2022/11/01 16:33:13 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:16 time: 0.0470 data_time: 0.0017 memory: 1705 2022/11/01 16:33:13 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:16 time: 0.0427 data_time: 0.0018 memory: 2044 2022/11/01 16:33:13 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:00:14 time: 0.0400 data_time: 0.0018 memory: 1705 2022/11/01 16:33:14 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:00:14 time: 0.0438 data_time: 0.0018 memory: 1969 2022/11/01 16:33:14 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:14 time: 0.0438 data_time: 0.0017 memory: 2082 2022/11/01 16:33:14 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:14 time: 0.0456 data_time: 0.0017 memory: 1781 2022/11/01 16:33:14 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:16 time: 0.0496 data_time: 0.0019 memory: 1969 2022/11/01 16:33:15 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:16 time: 0.0457 data_time: 0.0019 memory: 2082 2022/11/01 16:33:15 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:13 time: 0.0430 data_time: 0.0019 memory: 2082 2022/11/01 16:33:15 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:13 time: 0.0421 data_time: 0.0019 memory: 1705 2022/11/01 16:33:15 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:13 time: 0.0427 data_time: 0.0020 memory: 1818 2022/11/01 16:33:15 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:13 time: 0.0419 data_time: 0.0021 memory: 1781 2022/11/01 16:33:16 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:11 time: 0.0395 data_time: 0.0020 memory: 1781 2022/11/01 16:33:16 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:11 time: 0.0424 data_time: 0.0023 memory: 1705 2022/11/01 16:33:16 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:00:13 time: 0.0455 data_time: 0.0024 memory: 2082 2022/11/01 16:33:16 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:00:13 time: 0.0431 data_time: 0.0021 memory: 1705 2022/11/01 16:33:16 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:00:11 time: 0.0409 data_time: 0.0018 memory: 1856 2022/11/01 16:33:17 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:00:11 time: 0.0435 data_time: 0.0021 memory: 2082 2022/11/01 16:33:17 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:15 time: 0.0560 data_time: 0.0022 memory: 1705 2022/11/01 16:33:17 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:15 time: 0.0583 data_time: 0.0021 memory: 2082 2022/11/01 16:33:18 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:13 time: 0.0513 data_time: 0.0020 memory: 2082 2022/11/01 16:33:18 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:13 time: 0.0494 data_time: 0.0022 memory: 2082 2022/11/01 16:33:18 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:11 time: 0.0446 data_time: 0.0022 memory: 1705 2022/11/01 16:33:18 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:11 time: 0.0729 data_time: 0.0020 memory: 1743 2022/11/01 16:33:19 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:16 time: 0.0692 data_time: 0.0019 memory: 1705 2022/11/01 16:33:19 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:16 time: 0.0471 data_time: 0.0020 memory: 2007 2022/11/01 16:33:19 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:00:11 time: 0.0499 data_time: 0.0020 memory: 1931 2022/11/01 16:33:19 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:00:11 time: 0.0446 data_time: 0.0018 memory: 2082 2022/11/01 16:33:20 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:00:09 time: 0.0428 data_time: 0.0019 memory: 2007 2022/11/01 16:33:20 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:00:09 time: 0.0406 data_time: 0.0019 memory: 1705 2022/11/01 16:33:20 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:00:10 time: 0.0499 data_time: 0.0022 memory: 2082 2022/11/01 16:33:20 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:00:10 time: 0.0486 data_time: 0.0023 memory: 1818 2022/11/01 16:33:21 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:00:09 time: 0.0451 data_time: 0.0024 memory: 1743 2022/11/01 16:33:21 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:00:09 time: 0.0411 data_time: 0.0021 memory: 1705 2022/11/01 16:33:21 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:00:07 time: 0.0375 data_time: 0.0017 memory: 1781 2022/11/01 16:33:21 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:07 time: 0.0456 data_time: 0.0018 memory: 2007 2022/11/01 16:33:21 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:00:09 time: 0.0506 data_time: 0.0020 memory: 2007 2022/11/01 16:33:22 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:00:09 time: 0.0474 data_time: 0.0020 memory: 2082 2022/11/01 16:33:22 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:00:07 time: 0.0445 data_time: 0.0018 memory: 1743 2022/11/01 16:33:22 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:00:07 time: 0.0463 data_time: 0.0018 memory: 1931 2022/11/01 16:33:22 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:07 time: 0.0464 data_time: 0.0020 memory: 2044 2022/11/01 16:33:23 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:07 time: 0.0418 data_time: 0.0021 memory: 1931 2022/11/01 16:33:23 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:06 time: 0.0443 data_time: 0.0021 memory: 1705 2022/11/01 16:33:23 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:06 time: 0.0640 data_time: 0.0021 memory: 2044 2022/11/01 16:33:23 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:07 time: 0.0565 data_time: 0.0020 memory: 1743 2022/11/01 16:33:24 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:07 time: 0.0382 data_time: 0.0018 memory: 1592 2022/11/01 16:33:24 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:05 time: 0.0404 data_time: 0.0017 memory: 1818 2022/11/01 16:33:24 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:05 time: 0.0364 data_time: 0.0020 memory: 1705 2022/11/01 16:33:24 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:04 time: 0.0389 data_time: 0.0021 memory: 2044 2022/11/01 16:33:24 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:04 time: 0.0449 data_time: 0.0019 memory: 2044 2022/11/01 16:33:25 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:05 time: 0.0469 data_time: 0.0019 memory: 2082 2022/11/01 16:33:25 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:05 time: 0.0605 data_time: 0.0027 memory: 1705 2022/11/01 16:33:25 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:06 time: 0.0643 data_time: 0.0029 memory: 2044 2022/11/01 16:33:25 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:06 time: 0.0493 data_time: 0.0019 memory: 2044 2022/11/01 16:33:26 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:04 time: 0.0458 data_time: 0.0019 memory: 1818 2022/11/01 16:33:26 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:04 time: 0.0519 data_time: 0.0020 memory: 1705 2022/11/01 16:33:26 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:04 time: 0.0573 data_time: 0.0020 memory: 2007 2022/11/01 16:33:27 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:04 time: 0.0585 data_time: 0.0021 memory: 1705 2022/11/01 16:33:27 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:03 time: 0.0512 data_time: 0.0023 memory: 2082 2022/11/01 16:33:27 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:03 time: 0.0453 data_time: 0.0021 memory: 1705 2022/11/01 16:33:27 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:02 time: 0.0434 data_time: 0.0019 memory: 1856 2022/11/01 16:33:27 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:02 time: 0.0432 data_time: 0.0021 memory: 2007 2022/11/01 16:33:28 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:02 time: 0.0427 data_time: 0.0021 memory: 1705 2022/11/01 16:33:28 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:02 time: 0.0439 data_time: 0.0019 memory: 2082 2022/11/01 16:33:28 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:01 time: 0.0454 data_time: 0.0020 memory: 1781 2022/11/01 16:33:28 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:01 time: 0.0462 data_time: 0.0020 memory: 1969 2022/11/01 16:33:29 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:01 time: 0.0440 data_time: 0.0019 memory: 1781 2022/11/01 16:33:29 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:01 time: 0.0469 data_time: 0.0021 memory: 2082 2022/11/01 16:33:29 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:00 time: 0.0497 data_time: 0.0022 memory: 2044 2022/11/01 16:33:29 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:00 time: 0.0431 data_time: 0.0022 memory: 1705 2022/11/01 16:33:29 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:00 time: 0.0387 data_time: 0.0022 memory: 1969 2022/11/01 16:33:30 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:00 time: 0.0412 data_time: 0.0021 memory: 2082 2022/11/01 16:33:30 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.0415 data_time: 0.0020 memory: 1743 2022/11/01 16:33:30 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 16:33:30 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8107, precision: 0.5275, hmean: 0.6391 2022/11/01 16:33:30 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8107, precision: 0.5275, hmean: 0.6391 2022/11/01 16:33:30 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8107, precision: 0.5275, hmean: 0.6391 2022/11/01 16:33:30 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8107, precision: 0.5800, hmean: 0.6763 2022/11/01 16:33:30 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8098, precision: 0.6770, hmean: 0.7375 2022/11/01 16:33:30 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8049, precision: 0.7548, hmean: 0.7790 2022/11/01 16:33:30 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7636, precision: 0.8483, hmean: 0.8037 2022/11/01 16:33:30 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.8483 icdar/recall: 0.7636 icdar/hmean: 0.8037 2022/11/01 16:35:11 - mmengine - INFO - Epoch(train) [81][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 10.4759 data_time: 9.7300 memory: 27786 loss: 0.0937 loss_text: 0.0588 loss_kernel: 0.0348 2022/11/01 16:35:15 - mmengine - INFO - Epoch(train) [81][10/63] lr: 1.0000e-04 eta: 20:16:47 time: 10.5218 data_time: 9.7392 memory: 27786 loss: 0.0908 loss_text: 0.0577 loss_kernel: 0.0331 2022/11/01 16:35:19 - mmengine - INFO - Epoch(train) [81][15/63] lr: 1.0000e-04 eta: 20:16:47 time: 0.7922 data_time: 0.0244 memory: 27786 loss: 0.0858 loss_text: 0.0551 loss_kernel: 0.0307 2022/11/01 16:35:23 - mmengine - INFO - Epoch(train) [81][20/63] lr: 1.0000e-04 eta: 20:14:21 time: 0.7910 data_time: 0.0320 memory: 27786 loss: 0.0902 loss_text: 0.0586 loss_kernel: 0.0316 2022/11/01 16:35:27 - mmengine - INFO - Epoch(train) [81][25/63] lr: 1.0000e-04 eta: 20:14:21 time: 0.7962 data_time: 0.0355 memory: 27786 loss: 0.0923 loss_text: 0.0598 loss_kernel: 0.0325 2022/11/01 16:35:31 - mmengine - INFO - Epoch(train) [81][30/63] lr: 1.0000e-04 eta: 20:11:54 time: 0.7813 data_time: 0.0218 memory: 27786 loss: 0.0847 loss_text: 0.0526 loss_kernel: 0.0321 2022/11/01 16:35:35 - mmengine - INFO - Epoch(train) [81][35/63] lr: 1.0000e-04 eta: 20:11:54 time: 0.7947 data_time: 0.0237 memory: 27786 loss: 0.0826 loss_text: 0.0514 loss_kernel: 0.0312 2022/11/01 16:35:39 - mmengine - INFO - Epoch(train) [81][40/63] lr: 1.0000e-04 eta: 20:09:30 time: 0.7917 data_time: 0.0241 memory: 27786 loss: 0.0803 loss_text: 0.0518 loss_kernel: 0.0285 2022/11/01 16:35:43 - mmengine - INFO - Epoch(train) [81][45/63] lr: 1.0000e-04 eta: 20:09:30 time: 0.7815 data_time: 0.0249 memory: 27786 loss: 0.0790 loss_text: 0.0510 loss_kernel: 0.0280 2022/11/01 16:35:47 - mmengine - INFO - Epoch(train) [81][50/63] lr: 1.0000e-04 eta: 20:07:05 time: 0.7906 data_time: 0.0307 memory: 27786 loss: 0.0825 loss_text: 0.0512 loss_kernel: 0.0313 2022/11/01 16:35:51 - mmengine - INFO - Epoch(train) [81][55/63] lr: 1.0000e-04 eta: 20:07:05 time: 0.7806 data_time: 0.0226 memory: 27786 loss: 0.0866 loss_text: 0.0535 loss_kernel: 0.0331 2022/11/01 16:35:55 - mmengine - INFO - Epoch(train) [81][60/63] lr: 1.0000e-04 eta: 20:04:41 time: 0.7832 data_time: 0.0189 memory: 27786 loss: 0.1023 loss_text: 0.0664 loss_kernel: 0.0359 2022/11/01 16:35:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:37:36 - mmengine - INFO - Epoch(train) [82][5/63] lr: 1.0000e-04 eta: 20:04:41 time: 10.2947 data_time: 9.5541 memory: 27786 loss: 0.0867 loss_text: 0.0571 loss_kernel: 0.0296 2022/11/01 16:37:40 - mmengine - INFO - Epoch(train) [82][10/63] lr: 1.0000e-04 eta: 20:14:48 time: 10.3638 data_time: 9.5810 memory: 27786 loss: 0.0928 loss_text: 0.0611 loss_kernel: 0.0316 2022/11/01 16:37:44 - mmengine - INFO - Epoch(train) [82][15/63] lr: 1.0000e-04 eta: 20:14:48 time: 0.8019 data_time: 0.0367 memory: 27786 loss: 0.1030 loss_text: 0.0679 loss_kernel: 0.0351 2022/11/01 16:37:48 - mmengine - INFO - Epoch(train) [82][20/63] lr: 1.0000e-04 eta: 20:12:24 time: 0.7933 data_time: 0.0193 memory: 27786 loss: 0.1024 loss_text: 0.0673 loss_kernel: 0.0351 2022/11/01 16:37:52 - mmengine - INFO - Epoch(train) [82][25/63] lr: 1.0000e-04 eta: 20:12:24 time: 0.7882 data_time: 0.0244 memory: 27786 loss: 0.0970 loss_text: 0.0635 loss_kernel: 0.0335 2022/11/01 16:37:56 - mmengine - INFO - Epoch(train) [82][30/63] lr: 1.0000e-04 eta: 20:10:00 time: 0.7799 data_time: 0.0225 memory: 27786 loss: 0.0942 loss_text: 0.0626 loss_kernel: 0.0316 2022/11/01 16:38:00 - mmengine - INFO - Epoch(train) [82][35/63] lr: 1.0000e-04 eta: 20:10:00 time: 0.8134 data_time: 0.0454 memory: 27786 loss: 0.1012 loss_text: 0.0668 loss_kernel: 0.0345 2022/11/01 16:38:04 - mmengine - INFO - Epoch(train) [82][40/63] lr: 1.0000e-04 eta: 20:07:37 time: 0.7875 data_time: 0.0352 memory: 27786 loss: 0.1038 loss_text: 0.0669 loss_kernel: 0.0369 2022/11/01 16:38:08 - mmengine - INFO - Epoch(train) [82][45/63] lr: 1.0000e-04 eta: 20:07:37 time: 0.7679 data_time: 0.0155 memory: 27786 loss: 0.1153 loss_text: 0.0741 loss_kernel: 0.0412 2022/11/01 16:38:12 - mmengine - INFO - Epoch(train) [82][50/63] lr: 1.0000e-04 eta: 20:05:15 time: 0.7934 data_time: 0.0282 memory: 27786 loss: 0.1098 loss_text: 0.0708 loss_kernel: 0.0389 2022/11/01 16:38:16 - mmengine - INFO - Epoch(train) [82][55/63] lr: 1.0000e-04 eta: 20:05:15 time: 0.8154 data_time: 0.0452 memory: 27786 loss: 0.0897 loss_text: 0.0572 loss_kernel: 0.0325 2022/11/01 16:38:20 - mmengine - INFO - Epoch(train) [82][60/63] lr: 1.0000e-04 eta: 20:02:56 time: 0.8063 data_time: 0.0381 memory: 27786 loss: 0.0897 loss_text: 0.0572 loss_kernel: 0.0325 2022/11/01 16:38:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:40:02 - mmengine - INFO - Epoch(train) [83][5/63] lr: 1.0000e-04 eta: 20:02:56 time: 10.3270 data_time: 9.5835 memory: 27786 loss: 0.1026 loss_text: 0.0672 loss_kernel: 0.0354 2022/11/01 16:40:06 - mmengine - INFO - Epoch(train) [83][10/63] lr: 1.0000e-04 eta: 20:12:52 time: 10.3847 data_time: 9.6138 memory: 27786 loss: 0.1008 loss_text: 0.0653 loss_kernel: 0.0355 2022/11/01 16:40:10 - mmengine - INFO - Epoch(train) [83][15/63] lr: 1.0000e-04 eta: 20:12:52 time: 0.8199 data_time: 0.0492 memory: 27786 loss: 0.0941 loss_text: 0.0604 loss_kernel: 0.0337 2022/11/01 16:40:14 - mmengine - INFO - Epoch(train) [83][20/63] lr: 1.0000e-04 eta: 20:10:33 time: 0.8188 data_time: 0.0337 memory: 27786 loss: 0.0963 loss_text: 0.0627 loss_kernel: 0.0336 2022/11/01 16:40:18 - mmengine - INFO - Epoch(train) [83][25/63] lr: 1.0000e-04 eta: 20:10:33 time: 0.8079 data_time: 0.0311 memory: 27786 loss: 0.0986 loss_text: 0.0644 loss_kernel: 0.0342 2022/11/01 16:40:22 - mmengine - INFO - Epoch(train) [83][30/63] lr: 1.0000e-04 eta: 20:08:11 time: 0.7841 data_time: 0.0215 memory: 27786 loss: 0.0968 loss_text: 0.0635 loss_kernel: 0.0333 2022/11/01 16:40:26 - mmengine - INFO - Epoch(train) [83][35/63] lr: 1.0000e-04 eta: 20:08:11 time: 0.7855 data_time: 0.0231 memory: 27786 loss: 0.0986 loss_text: 0.0649 loss_kernel: 0.0337 2022/11/01 16:40:30 - mmengine - INFO - Epoch(train) [83][40/63] lr: 1.0000e-04 eta: 20:05:50 time: 0.7794 data_time: 0.0231 memory: 27786 loss: 0.0945 loss_text: 0.0614 loss_kernel: 0.0331 2022/11/01 16:40:34 - mmengine - INFO - Epoch(train) [83][45/63] lr: 1.0000e-04 eta: 20:05:50 time: 0.7919 data_time: 0.0290 memory: 27786 loss: 0.0978 loss_text: 0.0645 loss_kernel: 0.0333 2022/11/01 16:40:38 - mmengine - INFO - Epoch(train) [83][50/63] lr: 1.0000e-04 eta: 20:03:30 time: 0.8005 data_time: 0.0249 memory: 27786 loss: 0.1001 loss_text: 0.0666 loss_kernel: 0.0335 2022/11/01 16:40:41 - mmengine - INFO - Epoch(train) [83][55/63] lr: 1.0000e-04 eta: 20:03:30 time: 0.7820 data_time: 0.0197 memory: 27786 loss: 0.0919 loss_text: 0.0592 loss_kernel: 0.0327 2022/11/01 16:40:45 - mmengine - INFO - Epoch(train) [83][60/63] lr: 1.0000e-04 eta: 20:01:10 time: 0.7792 data_time: 0.0215 memory: 27786 loss: 0.1089 loss_text: 0.0712 loss_kernel: 0.0377 2022/11/01 16:40:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:42:27 - mmengine - INFO - Epoch(train) [84][5/63] lr: 1.0000e-04 eta: 20:01:10 time: 10.2831 data_time: 9.5389 memory: 27786 loss: 0.1274 loss_text: 0.0865 loss_kernel: 0.0409 2022/11/01 16:42:31 - mmengine - INFO - Epoch(train) [84][10/63] lr: 1.0000e-04 eta: 20:10:52 time: 10.3430 data_time: 9.5476 memory: 27786 loss: 0.1162 loss_text: 0.0787 loss_kernel: 0.0375 2022/11/01 16:42:35 - mmengine - INFO - Epoch(train) [84][15/63] lr: 1.0000e-04 eta: 20:10:52 time: 0.8195 data_time: 0.0304 memory: 27786 loss: 0.1330 loss_text: 0.0912 loss_kernel: 0.0418 2022/11/01 16:42:39 - mmengine - INFO - Epoch(train) [84][20/63] lr: 1.0000e-04 eta: 20:08:34 time: 0.8024 data_time: 0.0322 memory: 27786 loss: 0.1283 loss_text: 0.0896 loss_kernel: 0.0386 2022/11/01 16:42:43 - mmengine - INFO - Epoch(train) [84][25/63] lr: 1.0000e-04 eta: 20:08:34 time: 0.7884 data_time: 0.0214 memory: 27786 loss: 0.1072 loss_text: 0.0716 loss_kernel: 0.0356 2022/11/01 16:42:47 - mmengine - INFO - Epoch(train) [84][30/63] lr: 1.0000e-04 eta: 20:06:15 time: 0.7989 data_time: 0.0230 memory: 27786 loss: 0.1023 loss_text: 0.0674 loss_kernel: 0.0350 2022/11/01 16:42:51 - mmengine - INFO - Epoch(train) [84][35/63] lr: 1.0000e-04 eta: 20:06:15 time: 0.8120 data_time: 0.0358 memory: 27786 loss: 0.0950 loss_text: 0.0623 loss_kernel: 0.0326 2022/11/01 16:42:55 - mmengine - INFO - Epoch(train) [84][40/63] lr: 1.0000e-04 eta: 20:03:56 time: 0.7864 data_time: 0.0208 memory: 27786 loss: 0.0989 loss_text: 0.0648 loss_kernel: 0.0341 2022/11/01 16:42:59 - mmengine - INFO - Epoch(train) [84][45/63] lr: 1.0000e-04 eta: 20:03:56 time: 0.7766 data_time: 0.0213 memory: 27786 loss: 0.0924 loss_text: 0.0604 loss_kernel: 0.0319 2022/11/01 16:43:03 - mmengine - INFO - Epoch(train) [84][50/63] lr: 1.0000e-04 eta: 20:01:37 time: 0.7808 data_time: 0.0262 memory: 27786 loss: 0.1017 loss_text: 0.0675 loss_kernel: 0.0342 2022/11/01 16:43:07 - mmengine - INFO - Epoch(train) [84][55/63] lr: 1.0000e-04 eta: 20:01:37 time: 0.7825 data_time: 0.0197 memory: 27786 loss: 0.1082 loss_text: 0.0719 loss_kernel: 0.0363 2022/11/01 16:43:10 - mmengine - INFO - Epoch(train) [84][60/63] lr: 1.0000e-04 eta: 19:59:20 time: 0.7856 data_time: 0.0212 memory: 27786 loss: 0.1128 loss_text: 0.0744 loss_kernel: 0.0384 2022/11/01 16:43:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:44:52 - mmengine - INFO - Epoch(train) [85][5/63] lr: 1.0000e-04 eta: 19:59:20 time: 10.2717 data_time: 9.5459 memory: 27786 loss: 0.1302 loss_text: 0.0882 loss_kernel: 0.0420 2022/11/01 16:44:56 - mmengine - INFO - Epoch(train) [85][10/63] lr: 1.0000e-04 eta: 20:08:50 time: 10.3338 data_time: 9.5541 memory: 27786 loss: 0.1250 loss_text: 0.0853 loss_kernel: 0.0396 2022/11/01 16:45:00 - mmengine - INFO - Epoch(train) [85][15/63] lr: 1.0000e-04 eta: 20:08:50 time: 0.8048 data_time: 0.0309 memory: 27786 loss: 0.1226 loss_text: 0.0839 loss_kernel: 0.0387 2022/11/01 16:45:04 - mmengine - INFO - Epoch(train) [85][20/63] lr: 1.0000e-04 eta: 20:06:34 time: 0.8044 data_time: 0.0310 memory: 27786 loss: 0.1210 loss_text: 0.0844 loss_kernel: 0.0366 2022/11/01 16:45:08 - mmengine - INFO - Epoch(train) [85][25/63] lr: 1.0000e-04 eta: 20:06:34 time: 0.7878 data_time: 0.0226 memory: 27786 loss: 0.1098 loss_text: 0.0738 loss_kernel: 0.0360 2022/11/01 16:45:12 - mmengine - INFO - Epoch(train) [85][30/63] lr: 1.0000e-04 eta: 20:04:16 time: 0.7872 data_time: 0.0243 memory: 27786 loss: 0.1034 loss_text: 0.0672 loss_kernel: 0.0362 2022/11/01 16:45:16 - mmengine - INFO - Epoch(train) [85][35/63] lr: 1.0000e-04 eta: 20:04:16 time: 0.8003 data_time: 0.0289 memory: 27786 loss: 0.1050 loss_text: 0.0684 loss_kernel: 0.0365 2022/11/01 16:45:20 - mmengine - INFO - Epoch(train) [85][40/63] lr: 1.0000e-04 eta: 20:02:00 time: 0.7906 data_time: 0.0199 memory: 27786 loss: 0.1016 loss_text: 0.0668 loss_kernel: 0.0348 2022/11/01 16:45:24 - mmengine - INFO - Epoch(train) [85][45/63] lr: 1.0000e-04 eta: 20:02:00 time: 0.8057 data_time: 0.0290 memory: 27786 loss: 0.0923 loss_text: 0.0605 loss_kernel: 0.0319 2022/11/01 16:45:27 - mmengine - INFO - Epoch(train) [85][50/63] lr: 1.0000e-04 eta: 19:59:43 time: 0.7876 data_time: 0.0287 memory: 27786 loss: 0.1001 loss_text: 0.0650 loss_kernel: 0.0352 2022/11/01 16:45:31 - mmengine - INFO - Epoch(train) [85][55/63] lr: 1.0000e-04 eta: 19:59:43 time: 0.7561 data_time: 0.0188 memory: 27786 loss: 0.0978 loss_text: 0.0631 loss_kernel: 0.0346 2022/11/01 16:45:35 - mmengine - INFO - Epoch(train) [85][60/63] lr: 1.0000e-04 eta: 19:57:27 time: 0.7738 data_time: 0.0203 memory: 27786 loss: 0.0904 loss_text: 0.0578 loss_kernel: 0.0326 2022/11/01 16:45:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:47:17 - mmengine - INFO - Epoch(train) [86][5/63] lr: 1.0000e-04 eta: 19:57:27 time: 10.3093 data_time: 9.5782 memory: 27786 loss: 0.0828 loss_text: 0.0516 loss_kernel: 0.0312 2022/11/01 16:47:21 - mmengine - INFO - Epoch(train) [86][10/63] lr: 1.0000e-04 eta: 20:06:49 time: 10.3654 data_time: 9.5933 memory: 27786 loss: 0.0857 loss_text: 0.0536 loss_kernel: 0.0321 2022/11/01 16:47:25 - mmengine - INFO - Epoch(train) [86][15/63] lr: 1.0000e-04 eta: 20:06:49 time: 0.7974 data_time: 0.0252 memory: 27786 loss: 0.0996 loss_text: 0.0632 loss_kernel: 0.0364 2022/11/01 16:47:29 - mmengine - INFO - Epoch(train) [86][20/63] lr: 1.0000e-04 eta: 20:04:34 time: 0.7997 data_time: 0.0184 memory: 27786 loss: 0.0992 loss_text: 0.0648 loss_kernel: 0.0344 2022/11/01 16:47:33 - mmengine - INFO - Epoch(train) [86][25/63] lr: 1.0000e-04 eta: 20:04:34 time: 0.8020 data_time: 0.0216 memory: 27786 loss: 0.0847 loss_text: 0.0561 loss_kernel: 0.0285 2022/11/01 16:47:37 - mmengine - INFO - Epoch(train) [86][30/63] lr: 1.0000e-04 eta: 20:02:19 time: 0.7965 data_time: 0.0174 memory: 27786 loss: 0.0917 loss_text: 0.0608 loss_kernel: 0.0309 2022/11/01 16:47:41 - mmengine - INFO - Epoch(train) [86][35/63] lr: 1.0000e-04 eta: 20:02:19 time: 0.8017 data_time: 0.0255 memory: 27786 loss: 0.0937 loss_text: 0.0632 loss_kernel: 0.0305 2022/11/01 16:47:45 - mmengine - INFO - Epoch(train) [86][40/63] lr: 1.0000e-04 eta: 20:00:05 time: 0.7910 data_time: 0.0220 memory: 27786 loss: 0.0948 loss_text: 0.0631 loss_kernel: 0.0317 2022/11/01 16:47:49 - mmengine - INFO - Epoch(train) [86][45/63] lr: 1.0000e-04 eta: 20:00:05 time: 0.7888 data_time: 0.0195 memory: 27786 loss: 0.0955 loss_text: 0.0618 loss_kernel: 0.0336 2022/11/01 16:47:53 - mmengine - INFO - Epoch(train) [86][50/63] lr: 1.0000e-04 eta: 19:57:51 time: 0.7941 data_time: 0.0254 memory: 27786 loss: 0.0850 loss_text: 0.0547 loss_kernel: 0.0303 2022/11/01 16:47:56 - mmengine - INFO - Epoch(train) [86][55/63] lr: 1.0000e-04 eta: 19:57:51 time: 0.7785 data_time: 0.0200 memory: 27786 loss: 0.1008 loss_text: 0.0671 loss_kernel: 0.0337 2022/11/01 16:48:00 - mmengine - INFO - Epoch(train) [86][60/63] lr: 1.0000e-04 eta: 19:55:36 time: 0.7746 data_time: 0.0166 memory: 27786 loss: 0.1102 loss_text: 0.0732 loss_kernel: 0.0369 2022/11/01 16:48:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:49:42 - mmengine - INFO - Epoch(train) [87][5/63] lr: 1.0000e-04 eta: 19:55:36 time: 10.2615 data_time: 9.5209 memory: 27786 loss: 0.0827 loss_text: 0.0513 loss_kernel: 0.0314 2022/11/01 16:49:46 - mmengine - INFO - Epoch(train) [87][10/63] lr: 1.0000e-04 eta: 20:04:45 time: 10.3228 data_time: 9.5526 memory: 27786 loss: 0.0873 loss_text: 0.0549 loss_kernel: 0.0324 2022/11/01 16:49:50 - mmengine - INFO - Epoch(train) [87][15/63] lr: 1.0000e-04 eta: 20:04:45 time: 0.8026 data_time: 0.0405 memory: 27786 loss: 0.0933 loss_text: 0.0601 loss_kernel: 0.0332 2022/11/01 16:49:54 - mmengine - INFO - Epoch(train) [87][20/63] lr: 1.0000e-04 eta: 20:02:31 time: 0.7906 data_time: 0.0221 memory: 27786 loss: 0.0893 loss_text: 0.0586 loss_kernel: 0.0307 2022/11/01 16:49:58 - mmengine - INFO - Epoch(train) [87][25/63] lr: 1.0000e-04 eta: 20:02:31 time: 0.8079 data_time: 0.0345 memory: 27786 loss: 0.0809 loss_text: 0.0526 loss_kernel: 0.0283 2022/11/01 16:50:02 - mmengine - INFO - Epoch(train) [87][30/63] lr: 1.0000e-04 eta: 20:00:18 time: 0.7949 data_time: 0.0192 memory: 27786 loss: 0.0847 loss_text: 0.0536 loss_kernel: 0.0311 2022/11/01 16:50:06 - mmengine - INFO - Epoch(train) [87][35/63] lr: 1.0000e-04 eta: 20:00:18 time: 0.7980 data_time: 0.0210 memory: 27786 loss: 0.1026 loss_text: 0.0655 loss_kernel: 0.0371 2022/11/01 16:50:09 - mmengine - INFO - Epoch(train) [87][40/63] lr: 1.0000e-04 eta: 19:58:05 time: 0.7880 data_time: 0.0234 memory: 27786 loss: 0.1064 loss_text: 0.0701 loss_kernel: 0.0363 2022/11/01 16:50:13 - mmengine - INFO - Epoch(train) [87][45/63] lr: 1.0000e-04 eta: 19:58:05 time: 0.7763 data_time: 0.0185 memory: 27786 loss: 0.0897 loss_text: 0.0595 loss_kernel: 0.0302 2022/11/01 16:50:17 - mmengine - INFO - Epoch(train) [87][50/63] lr: 1.0000e-04 eta: 19:55:54 time: 0.7999 data_time: 0.0283 memory: 27786 loss: 0.0757 loss_text: 0.0485 loss_kernel: 0.0272 2022/11/01 16:50:21 - mmengine - INFO - Epoch(train) [87][55/63] lr: 1.0000e-04 eta: 19:55:54 time: 0.7952 data_time: 0.0214 memory: 27786 loss: 0.0869 loss_text: 0.0559 loss_kernel: 0.0310 2022/11/01 16:50:25 - mmengine - INFO - Epoch(train) [87][60/63] lr: 1.0000e-04 eta: 19:53:41 time: 0.7815 data_time: 0.0145 memory: 27786 loss: 0.0875 loss_text: 0.0565 loss_kernel: 0.0310 2022/11/01 16:50:27 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:52:07 - mmengine - INFO - Epoch(train) [88][5/63] lr: 1.0000e-04 eta: 19:53:41 time: 10.2950 data_time: 9.5455 memory: 27786 loss: 0.0936 loss_text: 0.0604 loss_kernel: 0.0332 2022/11/01 16:52:11 - mmengine - INFO - Epoch(train) [88][10/63] lr: 1.0000e-04 eta: 20:02:42 time: 10.3388 data_time: 9.5508 memory: 27786 loss: 0.0951 loss_text: 0.0608 loss_kernel: 0.0343 2022/11/01 16:52:15 - mmengine - INFO - Epoch(train) [88][15/63] lr: 1.0000e-04 eta: 20:02:42 time: 0.8026 data_time: 0.0274 memory: 27786 loss: 0.0937 loss_text: 0.0614 loss_kernel: 0.0323 2022/11/01 16:52:19 - mmengine - INFO - Epoch(train) [88][20/63] lr: 1.0000e-04 eta: 20:00:31 time: 0.8083 data_time: 0.0297 memory: 27786 loss: 0.0843 loss_text: 0.0539 loss_kernel: 0.0304 2022/11/01 16:52:23 - mmengine - INFO - Epoch(train) [88][25/63] lr: 1.0000e-04 eta: 20:00:31 time: 0.8047 data_time: 0.0226 memory: 27786 loss: 0.0934 loss_text: 0.0595 loss_kernel: 0.0338 2022/11/01 16:52:27 - mmengine - INFO - Epoch(train) [88][30/63] lr: 1.0000e-04 eta: 19:58:21 time: 0.8122 data_time: 0.0208 memory: 27786 loss: 0.0966 loss_text: 0.0631 loss_kernel: 0.0335 2022/11/01 16:52:31 - mmengine - INFO - Epoch(train) [88][35/63] lr: 1.0000e-04 eta: 19:58:21 time: 0.8197 data_time: 0.0214 memory: 27786 loss: 0.1000 loss_text: 0.0635 loss_kernel: 0.0365 2022/11/01 16:52:35 - mmengine - INFO - Epoch(train) [88][40/63] lr: 1.0000e-04 eta: 19:56:11 time: 0.8077 data_time: 0.0227 memory: 27786 loss: 0.1021 loss_text: 0.0655 loss_kernel: 0.0366 2022/11/01 16:52:39 - mmengine - INFO - Epoch(train) [88][45/63] lr: 1.0000e-04 eta: 19:56:11 time: 0.8077 data_time: 0.0320 memory: 27786 loss: 0.0895 loss_text: 0.0586 loss_kernel: 0.0309 2022/11/01 16:52:43 - mmengine - INFO - Epoch(train) [88][50/63] lr: 1.0000e-04 eta: 19:54:01 time: 0.7968 data_time: 0.0231 memory: 27786 loss: 0.0878 loss_text: 0.0572 loss_kernel: 0.0306 2022/11/01 16:52:47 - mmengine - INFO - Epoch(train) [88][55/63] lr: 1.0000e-04 eta: 19:54:01 time: 0.7765 data_time: 0.0181 memory: 27786 loss: 0.0944 loss_text: 0.0621 loss_kernel: 0.0322 2022/11/01 16:52:51 - mmengine - INFO - Epoch(train) [88][60/63] lr: 1.0000e-04 eta: 19:51:50 time: 0.7775 data_time: 0.0229 memory: 27786 loss: 0.0960 loss_text: 0.0623 loss_kernel: 0.0336 2022/11/01 16:52:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:54:31 - mmengine - INFO - Epoch(train) [89][5/63] lr: 1.0000e-04 eta: 19:51:50 time: 10.2188 data_time: 9.4930 memory: 27786 loss: 0.0981 loss_text: 0.0629 loss_kernel: 0.0353 2022/11/01 16:54:35 - mmengine - INFO - Epoch(train) [89][10/63] lr: 1.0000e-04 eta: 20:00:36 time: 10.2597 data_time: 9.4964 memory: 27786 loss: 0.1003 loss_text: 0.0642 loss_kernel: 0.0361 2022/11/01 16:54:39 - mmengine - INFO - Epoch(train) [89][15/63] lr: 1.0000e-04 eta: 20:00:36 time: 0.7844 data_time: 0.0255 memory: 27786 loss: 0.0990 loss_text: 0.0659 loss_kernel: 0.0331 2022/11/01 16:54:43 - mmengine - INFO - Epoch(train) [89][20/63] lr: 1.0000e-04 eta: 19:58:26 time: 0.7954 data_time: 0.0357 memory: 27786 loss: 0.0924 loss_text: 0.0620 loss_kernel: 0.0304 2022/11/01 16:54:47 - mmengine - INFO - Epoch(train) [89][25/63] lr: 1.0000e-04 eta: 19:58:26 time: 0.7901 data_time: 0.0315 memory: 27786 loss: 0.0834 loss_text: 0.0534 loss_kernel: 0.0300 2022/11/01 16:54:51 - mmengine - INFO - Epoch(train) [89][30/63] lr: 1.0000e-04 eta: 19:56:16 time: 0.7962 data_time: 0.0257 memory: 27786 loss: 0.1057 loss_text: 0.0701 loss_kernel: 0.0356 2022/11/01 16:54:55 - mmengine - INFO - Epoch(train) [89][35/63] lr: 1.0000e-04 eta: 19:56:16 time: 0.8106 data_time: 0.0374 memory: 27786 loss: 0.1061 loss_text: 0.0699 loss_kernel: 0.0363 2022/11/01 16:54:59 - mmengine - INFO - Epoch(train) [89][40/63] lr: 1.0000e-04 eta: 19:54:07 time: 0.7992 data_time: 0.0273 memory: 27786 loss: 0.0822 loss_text: 0.0517 loss_kernel: 0.0305 2022/11/01 16:55:03 - mmengine - INFO - Epoch(train) [89][45/63] lr: 1.0000e-04 eta: 19:54:07 time: 0.7973 data_time: 0.0184 memory: 27786 loss: 0.0789 loss_text: 0.0502 loss_kernel: 0.0287 2022/11/01 16:55:07 - mmengine - INFO - Epoch(train) [89][50/63] lr: 1.0000e-04 eta: 19:51:59 time: 0.7987 data_time: 0.0212 memory: 27786 loss: 0.0838 loss_text: 0.0543 loss_kernel: 0.0295 2022/11/01 16:55:11 - mmengine - INFO - Epoch(train) [89][55/63] lr: 1.0000e-04 eta: 19:51:59 time: 0.7871 data_time: 0.0208 memory: 27786 loss: 0.0870 loss_text: 0.0558 loss_kernel: 0.0312 2022/11/01 16:55:15 - mmengine - INFO - Epoch(train) [89][60/63] lr: 1.0000e-04 eta: 19:49:51 time: 0.7848 data_time: 0.0249 memory: 27786 loss: 0.0934 loss_text: 0.0598 loss_kernel: 0.0336 2022/11/01 16:55:17 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:56:58 - mmengine - INFO - Epoch(train) [90][5/63] lr: 1.0000e-04 eta: 19:49:51 time: 10.4195 data_time: 9.6744 memory: 27786 loss: 0.0873 loss_text: 0.0566 loss_kernel: 0.0307 2022/11/01 16:57:02 - mmengine - INFO - Epoch(train) [90][10/63] lr: 1.0000e-04 eta: 19:58:42 time: 10.4704 data_time: 9.6927 memory: 27786 loss: 0.0853 loss_text: 0.0553 loss_kernel: 0.0300 2022/11/01 16:57:06 - mmengine - INFO - Epoch(train) [90][15/63] lr: 1.0000e-04 eta: 19:58:42 time: 0.8038 data_time: 0.0295 memory: 27786 loss: 0.0880 loss_text: 0.0572 loss_kernel: 0.0308 2022/11/01 16:57:10 - mmengine - INFO - Epoch(train) [90][20/63] lr: 1.0000e-04 eta: 19:56:34 time: 0.7923 data_time: 0.0140 memory: 27786 loss: 0.0948 loss_text: 0.0617 loss_kernel: 0.0331 2022/11/01 16:57:14 - mmengine - INFO - Epoch(train) [90][25/63] lr: 1.0000e-04 eta: 19:56:34 time: 0.7989 data_time: 0.0262 memory: 27786 loss: 0.0871 loss_text: 0.0561 loss_kernel: 0.0310 2022/11/01 16:57:18 - mmengine - INFO - Epoch(train) [90][30/63] lr: 1.0000e-04 eta: 19:54:25 time: 0.7846 data_time: 0.0194 memory: 27786 loss: 0.0835 loss_text: 0.0532 loss_kernel: 0.0303 2022/11/01 16:57:22 - mmengine - INFO - Epoch(train) [90][35/63] lr: 1.0000e-04 eta: 19:54:25 time: 0.7808 data_time: 0.0208 memory: 27786 loss: 0.0882 loss_text: 0.0564 loss_kernel: 0.0318 2022/11/01 16:57:25 - mmengine - INFO - Epoch(train) [90][40/63] lr: 1.0000e-04 eta: 19:52:16 time: 0.7764 data_time: 0.0229 memory: 27786 loss: 0.0826 loss_text: 0.0519 loss_kernel: 0.0307 2022/11/01 16:57:29 - mmengine - INFO - Epoch(train) [90][45/63] lr: 1.0000e-04 eta: 19:52:16 time: 0.7728 data_time: 0.0185 memory: 27786 loss: 0.0821 loss_text: 0.0523 loss_kernel: 0.0298 2022/11/01 16:57:33 - mmengine - INFO - Epoch(train) [90][50/63] lr: 1.0000e-04 eta: 19:50:09 time: 0.7846 data_time: 0.0282 memory: 27786 loss: 0.0857 loss_text: 0.0551 loss_kernel: 0.0306 2022/11/01 16:57:37 - mmengine - INFO - Epoch(train) [90][55/63] lr: 1.0000e-04 eta: 19:50:09 time: 0.7824 data_time: 0.0208 memory: 27786 loss: 0.0974 loss_text: 0.0626 loss_kernel: 0.0348 2022/11/01 16:57:41 - mmengine - INFO - Epoch(train) [90][60/63] lr: 1.0000e-04 eta: 19:48:02 time: 0.7873 data_time: 0.0180 memory: 27786 loss: 0.1017 loss_text: 0.0666 loss_kernel: 0.0351 2022/11/01 16:57:43 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 16:59:23 - mmengine - INFO - Epoch(train) [91][5/63] lr: 1.0000e-04 eta: 19:48:02 time: 10.3017 data_time: 9.5589 memory: 27786 loss: 0.0823 loss_text: 0.0520 loss_kernel: 0.0304 2022/11/01 16:59:27 - mmengine - INFO - Epoch(train) [91][10/63] lr: 1.0000e-04 eta: 19:56:37 time: 10.3630 data_time: 9.5768 memory: 27786 loss: 0.0920 loss_text: 0.0586 loss_kernel: 0.0335 2022/11/01 16:59:31 - mmengine - INFO - Epoch(train) [91][15/63] lr: 1.0000e-04 eta: 19:56:37 time: 0.8019 data_time: 0.0255 memory: 27786 loss: 0.0932 loss_text: 0.0600 loss_kernel: 0.0332 2022/11/01 16:59:35 - mmengine - INFO - Epoch(train) [91][20/63] lr: 1.0000e-04 eta: 19:54:30 time: 0.7975 data_time: 0.0216 memory: 27786 loss: 0.1039 loss_text: 0.0684 loss_kernel: 0.0355 2022/11/01 16:59:39 - mmengine - INFO - Epoch(train) [91][25/63] lr: 1.0000e-04 eta: 19:54:30 time: 0.8135 data_time: 0.0290 memory: 27786 loss: 0.1079 loss_text: 0.0712 loss_kernel: 0.0366 2022/11/01 16:59:43 - mmengine - INFO - Epoch(train) [91][30/63] lr: 1.0000e-04 eta: 19:52:25 time: 0.8081 data_time: 0.0202 memory: 27786 loss: 0.0984 loss_text: 0.0647 loss_kernel: 0.0337 2022/11/01 16:59:47 - mmengine - INFO - Epoch(train) [91][35/63] lr: 1.0000e-04 eta: 19:52:25 time: 0.8014 data_time: 0.0261 memory: 27786 loss: 0.0966 loss_text: 0.0636 loss_kernel: 0.0330 2022/11/01 16:59:51 - mmengine - INFO - Epoch(train) [91][40/63] lr: 1.0000e-04 eta: 19:50:19 time: 0.7992 data_time: 0.0242 memory: 27786 loss: 0.0870 loss_text: 0.0561 loss_kernel: 0.0309 2022/11/01 16:59:55 - mmengine - INFO - Epoch(train) [91][45/63] lr: 1.0000e-04 eta: 19:50:19 time: 0.7939 data_time: 0.0194 memory: 27786 loss: 0.0947 loss_text: 0.0612 loss_kernel: 0.0335 2022/11/01 16:59:59 - mmengine - INFO - Epoch(train) [91][50/63] lr: 1.0000e-04 eta: 19:48:13 time: 0.7829 data_time: 0.0309 memory: 27786 loss: 0.0966 loss_text: 0.0625 loss_kernel: 0.0341 2022/11/01 17:00:03 - mmengine - INFO - Epoch(train) [91][55/63] lr: 1.0000e-04 eta: 19:48:13 time: 0.7721 data_time: 0.0258 memory: 27786 loss: 0.0962 loss_text: 0.0623 loss_kernel: 0.0339 2022/11/01 17:00:06 - mmengine - INFO - Epoch(train) [91][60/63] lr: 1.0000e-04 eta: 19:46:07 time: 0.7739 data_time: 0.0155 memory: 27786 loss: 0.0956 loss_text: 0.0621 loss_kernel: 0.0335 2022/11/01 17:00:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:01:48 - mmengine - INFO - Epoch(train) [92][5/63] lr: 1.0000e-04 eta: 19:46:07 time: 10.2852 data_time: 9.5489 memory: 27786 loss: 0.0867 loss_text: 0.0550 loss_kernel: 0.0316 2022/11/01 17:01:52 - mmengine - INFO - Epoch(train) [92][10/63] lr: 1.0000e-04 eta: 19:54:33 time: 10.3611 data_time: 9.5646 memory: 27786 loss: 0.0832 loss_text: 0.0532 loss_kernel: 0.0300 2022/11/01 17:01:56 - mmengine - INFO - Epoch(train) [92][15/63] lr: 1.0000e-04 eta: 19:54:33 time: 0.8054 data_time: 0.0272 memory: 27786 loss: 0.0932 loss_text: 0.0607 loss_kernel: 0.0325 2022/11/01 17:02:00 - mmengine - INFO - Epoch(train) [92][20/63] lr: 1.0000e-04 eta: 19:52:28 time: 0.7970 data_time: 0.0222 memory: 27786 loss: 0.1034 loss_text: 0.0673 loss_kernel: 0.0361 2022/11/01 17:02:04 - mmengine - INFO - Epoch(train) [92][25/63] lr: 1.0000e-04 eta: 19:52:28 time: 0.8071 data_time: 0.0276 memory: 27786 loss: 0.0963 loss_text: 0.0627 loss_kernel: 0.0336 2022/11/01 17:02:08 - mmengine - INFO - Epoch(train) [92][30/63] lr: 1.0000e-04 eta: 19:50:24 time: 0.8032 data_time: 0.0255 memory: 27786 loss: 0.0832 loss_text: 0.0537 loss_kernel: 0.0295 2022/11/01 17:02:12 - mmengine - INFO - Epoch(train) [92][35/63] lr: 1.0000e-04 eta: 19:50:24 time: 0.7911 data_time: 0.0257 memory: 27786 loss: 0.0814 loss_text: 0.0526 loss_kernel: 0.0288 2022/11/01 17:02:16 - mmengine - INFO - Epoch(train) [92][40/63] lr: 1.0000e-04 eta: 19:48:19 time: 0.7882 data_time: 0.0225 memory: 27786 loss: 0.0832 loss_text: 0.0546 loss_kernel: 0.0285 2022/11/01 17:02:20 - mmengine - INFO - Epoch(train) [92][45/63] lr: 1.0000e-04 eta: 19:48:19 time: 0.8065 data_time: 0.0342 memory: 27786 loss: 0.0968 loss_text: 0.0637 loss_kernel: 0.0330 2022/11/01 17:02:24 - mmengine - INFO - Epoch(train) [92][50/63] lr: 1.0000e-04 eta: 19:46:17 time: 0.8053 data_time: 0.0333 memory: 27786 loss: 0.1033 loss_text: 0.0676 loss_kernel: 0.0358 2022/11/01 17:02:28 - mmengine - INFO - Epoch(train) [92][55/63] lr: 1.0000e-04 eta: 19:46:17 time: 0.7895 data_time: 0.0190 memory: 27786 loss: 0.1015 loss_text: 0.0669 loss_kernel: 0.0346 2022/11/01 17:02:32 - mmengine - INFO - Epoch(train) [92][60/63] lr: 1.0000e-04 eta: 19:44:12 time: 0.7669 data_time: 0.0173 memory: 27786 loss: 0.1035 loss_text: 0.0683 loss_kernel: 0.0352 2022/11/01 17:02:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:04:13 - mmengine - INFO - Epoch(train) [93][5/63] lr: 1.0000e-04 eta: 19:44:12 time: 10.3063 data_time: 9.5705 memory: 27786 loss: 0.0951 loss_text: 0.0625 loss_kernel: 0.0326 2022/11/01 17:04:17 - mmengine - INFO - Epoch(train) [93][10/63] lr: 1.0000e-04 eta: 19:52:29 time: 10.3586 data_time: 9.5749 memory: 27786 loss: 0.0954 loss_text: 0.0620 loss_kernel: 0.0334 2022/11/01 17:04:21 - mmengine - INFO - Epoch(train) [93][15/63] lr: 1.0000e-04 eta: 19:52:29 time: 0.7996 data_time: 0.0308 memory: 27786 loss: 0.0998 loss_text: 0.0646 loss_kernel: 0.0353 2022/11/01 17:04:25 - mmengine - INFO - Epoch(train) [93][20/63] lr: 1.0000e-04 eta: 19:50:25 time: 0.7971 data_time: 0.0344 memory: 27786 loss: 0.0934 loss_text: 0.0604 loss_kernel: 0.0330 2022/11/01 17:04:29 - mmengine - INFO - Epoch(train) [93][25/63] lr: 1.0000e-04 eta: 19:50:25 time: 0.8093 data_time: 0.0335 memory: 27786 loss: 0.0926 loss_text: 0.0597 loss_kernel: 0.0329 2022/11/01 17:04:33 - mmengine - INFO - Epoch(train) [93][30/63] lr: 1.0000e-04 eta: 19:48:23 time: 0.8024 data_time: 0.0278 memory: 27786 loss: 0.0902 loss_text: 0.0582 loss_kernel: 0.0320 2022/11/01 17:04:37 - mmengine - INFO - Epoch(train) [93][35/63] lr: 1.0000e-04 eta: 19:48:23 time: 0.7854 data_time: 0.0263 memory: 27786 loss: 0.0862 loss_text: 0.0562 loss_kernel: 0.0300 2022/11/01 17:04:41 - mmengine - INFO - Epoch(train) [93][40/63] lr: 1.0000e-04 eta: 19:46:19 time: 0.7747 data_time: 0.0261 memory: 27786 loss: 0.1019 loss_text: 0.0668 loss_kernel: 0.0351 2022/11/01 17:04:45 - mmengine - INFO - Epoch(train) [93][45/63] lr: 1.0000e-04 eta: 19:46:19 time: 0.7813 data_time: 0.0279 memory: 27786 loss: 0.1071 loss_text: 0.0701 loss_kernel: 0.0369 2022/11/01 17:04:49 - mmengine - INFO - Epoch(train) [93][50/63] lr: 1.0000e-04 eta: 19:44:16 time: 0.7868 data_time: 0.0290 memory: 27786 loss: 0.0968 loss_text: 0.0632 loss_kernel: 0.0336 2022/11/01 17:04:53 - mmengine - INFO - Epoch(train) [93][55/63] lr: 1.0000e-04 eta: 19:44:16 time: 0.7687 data_time: 0.0189 memory: 27786 loss: 0.0924 loss_text: 0.0600 loss_kernel: 0.0324 2022/11/01 17:04:57 - mmengine - INFO - Epoch(train) [93][60/63] lr: 1.0000e-04 eta: 19:42:12 time: 0.7640 data_time: 0.0205 memory: 27786 loss: 0.0900 loss_text: 0.0588 loss_kernel: 0.0312 2022/11/01 17:04:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:06:39 - mmengine - INFO - Epoch(train) [94][5/63] lr: 1.0000e-04 eta: 19:42:12 time: 10.4062 data_time: 9.6738 memory: 27786 loss: 0.1037 loss_text: 0.0684 loss_kernel: 0.0354 2022/11/01 17:06:43 - mmengine - INFO - Epoch(train) [94][10/63] lr: 1.0000e-04 eta: 19:50:30 time: 10.4833 data_time: 9.6874 memory: 27786 loss: 0.1051 loss_text: 0.0673 loss_kernel: 0.0378 2022/11/01 17:06:47 - mmengine - INFO - Epoch(train) [94][15/63] lr: 1.0000e-04 eta: 19:50:30 time: 0.8136 data_time: 0.0253 memory: 27786 loss: 0.0932 loss_text: 0.0599 loss_kernel: 0.0333 2022/11/01 17:06:51 - mmengine - INFO - Epoch(train) [94][20/63] lr: 1.0000e-04 eta: 19:48:28 time: 0.8014 data_time: 0.0167 memory: 27786 loss: 0.0854 loss_text: 0.0561 loss_kernel: 0.0292 2022/11/01 17:06:55 - mmengine - INFO - Epoch(train) [94][25/63] lr: 1.0000e-04 eta: 19:48:28 time: 0.8052 data_time: 0.0268 memory: 27786 loss: 0.0773 loss_text: 0.0495 loss_kernel: 0.0278 2022/11/01 17:06:59 - mmengine - INFO - Epoch(train) [94][30/63] lr: 1.0000e-04 eta: 19:46:27 time: 0.7932 data_time: 0.0205 memory: 27786 loss: 0.0805 loss_text: 0.0511 loss_kernel: 0.0294 2022/11/01 17:07:03 - mmengine - INFO - Epoch(train) [94][35/63] lr: 1.0000e-04 eta: 19:46:27 time: 0.7965 data_time: 0.0194 memory: 27786 loss: 0.0855 loss_text: 0.0551 loss_kernel: 0.0304 2022/11/01 17:07:07 - mmengine - INFO - Epoch(train) [94][40/63] lr: 1.0000e-04 eta: 19:44:26 time: 0.8024 data_time: 0.0232 memory: 27786 loss: 0.0853 loss_text: 0.0567 loss_kernel: 0.0286 2022/11/01 17:07:11 - mmengine - INFO - Epoch(train) [94][45/63] lr: 1.0000e-04 eta: 19:44:26 time: 0.8037 data_time: 0.0222 memory: 27786 loss: 0.0886 loss_text: 0.0586 loss_kernel: 0.0300 2022/11/01 17:07:15 - mmengine - INFO - Epoch(train) [94][50/63] lr: 1.0000e-04 eta: 19:42:26 time: 0.8007 data_time: 0.0274 memory: 27786 loss: 0.0831 loss_text: 0.0535 loss_kernel: 0.0296 2022/11/01 17:07:19 - mmengine - INFO - Epoch(train) [94][55/63] lr: 1.0000e-04 eta: 19:42:26 time: 0.7823 data_time: 0.0211 memory: 27786 loss: 0.0809 loss_text: 0.0509 loss_kernel: 0.0300 2022/11/01 17:07:23 - mmengine - INFO - Epoch(train) [94][60/63] lr: 1.0000e-04 eta: 19:40:24 time: 0.7742 data_time: 0.0148 memory: 27786 loss: 0.0883 loss_text: 0.0556 loss_kernel: 0.0327 2022/11/01 17:07:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:09:04 - mmengine - INFO - Epoch(train) [95][5/63] lr: 1.0000e-04 eta: 19:40:24 time: 10.2056 data_time: 9.4748 memory: 27786 loss: 0.0900 loss_text: 0.0576 loss_kernel: 0.0324 2022/11/01 17:09:08 - mmengine - INFO - Epoch(train) [95][10/63] lr: 1.0000e-04 eta: 19:48:18 time: 10.2502 data_time: 9.4816 memory: 27786 loss: 0.0732 loss_text: 0.0456 loss_kernel: 0.0275 2022/11/01 17:09:12 - mmengine - INFO - Epoch(train) [95][15/63] lr: 1.0000e-04 eta: 19:48:18 time: 0.7846 data_time: 0.0292 memory: 27786 loss: 0.0814 loss_text: 0.0519 loss_kernel: 0.0295 2022/11/01 17:09:15 - mmengine - INFO - Epoch(train) [95][20/63] lr: 1.0000e-04 eta: 19:46:16 time: 0.7791 data_time: 0.0278 memory: 27786 loss: 0.0851 loss_text: 0.0547 loss_kernel: 0.0303 2022/11/01 17:09:19 - mmengine - INFO - Epoch(train) [95][25/63] lr: 1.0000e-04 eta: 19:46:16 time: 0.7699 data_time: 0.0197 memory: 27786 loss: 0.0767 loss_text: 0.0489 loss_kernel: 0.0278 2022/11/01 17:09:23 - mmengine - INFO - Epoch(train) [95][30/63] lr: 1.0000e-04 eta: 19:44:16 time: 0.7981 data_time: 0.0292 memory: 27786 loss: 0.0805 loss_text: 0.0513 loss_kernel: 0.0293 2022/11/01 17:09:27 - mmengine - INFO - Epoch(train) [95][35/63] lr: 1.0000e-04 eta: 19:44:16 time: 0.8149 data_time: 0.0295 memory: 27786 loss: 0.0844 loss_text: 0.0530 loss_kernel: 0.0314 2022/11/01 17:09:31 - mmengine - INFO - Epoch(train) [95][40/63] lr: 1.0000e-04 eta: 19:42:17 time: 0.7974 data_time: 0.0293 memory: 27786 loss: 0.0867 loss_text: 0.0540 loss_kernel: 0.0327 2022/11/01 17:09:35 - mmengine - INFO - Epoch(train) [95][45/63] lr: 1.0000e-04 eta: 19:42:17 time: 0.8024 data_time: 0.0399 memory: 27786 loss: 0.0850 loss_text: 0.0535 loss_kernel: 0.0315 2022/11/01 17:09:39 - mmengine - INFO - Epoch(train) [95][50/63] lr: 1.0000e-04 eta: 19:40:17 time: 0.7879 data_time: 0.0266 memory: 27786 loss: 0.0801 loss_text: 0.0516 loss_kernel: 0.0285 2022/11/01 17:09:43 - mmengine - INFO - Epoch(train) [95][55/63] lr: 1.0000e-04 eta: 19:40:17 time: 0.7877 data_time: 0.0221 memory: 27786 loss: 0.0779 loss_text: 0.0504 loss_kernel: 0.0275 2022/11/01 17:09:47 - mmengine - INFO - Epoch(train) [95][60/63] lr: 1.0000e-04 eta: 19:38:19 time: 0.7970 data_time: 0.0237 memory: 27786 loss: 0.0788 loss_text: 0.0503 loss_kernel: 0.0284 2022/11/01 17:09:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:11:30 - mmengine - INFO - Epoch(train) [96][5/63] lr: 1.0000e-04 eta: 19:38:19 time: 10.3852 data_time: 9.6390 memory: 27786 loss: 0.0914 loss_text: 0.0596 loss_kernel: 0.0318 2022/11/01 17:11:34 - mmengine - INFO - Epoch(train) [96][10/63] lr: 1.0000e-04 eta: 19:46:18 time: 10.4527 data_time: 9.6590 memory: 27786 loss: 0.0960 loss_text: 0.0625 loss_kernel: 0.0335 2022/11/01 17:11:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:11:38 - mmengine - INFO - Epoch(train) [96][15/63] lr: 1.0000e-04 eta: 19:46:18 time: 0.8066 data_time: 0.0349 memory: 27786 loss: 0.0819 loss_text: 0.0523 loss_kernel: 0.0295 2022/11/01 17:11:42 - mmengine - INFO - Epoch(train) [96][20/63] lr: 1.0000e-04 eta: 19:44:18 time: 0.7802 data_time: 0.0238 memory: 27786 loss: 0.0778 loss_text: 0.0490 loss_kernel: 0.0288 2022/11/01 17:11:46 - mmengine - INFO - Epoch(train) [96][25/63] lr: 1.0000e-04 eta: 19:44:18 time: 0.8001 data_time: 0.0330 memory: 27786 loss: 0.0907 loss_text: 0.0579 loss_kernel: 0.0328 2022/11/01 17:11:50 - mmengine - INFO - Epoch(train) [96][30/63] lr: 1.0000e-04 eta: 19:42:19 time: 0.7926 data_time: 0.0248 memory: 27786 loss: 0.0890 loss_text: 0.0568 loss_kernel: 0.0322 2022/11/01 17:11:54 - mmengine - INFO - Epoch(train) [96][35/63] lr: 1.0000e-04 eta: 19:42:19 time: 0.7840 data_time: 0.0209 memory: 27786 loss: 0.0765 loss_text: 0.0479 loss_kernel: 0.0285 2022/11/01 17:11:58 - mmengine - INFO - Epoch(train) [96][40/63] lr: 1.0000e-04 eta: 19:40:21 time: 0.7927 data_time: 0.0206 memory: 27786 loss: 0.0846 loss_text: 0.0539 loss_kernel: 0.0307 2022/11/01 17:12:01 - mmengine - INFO - Epoch(train) [96][45/63] lr: 1.0000e-04 eta: 19:40:21 time: 0.7865 data_time: 0.0191 memory: 27786 loss: 0.0844 loss_text: 0.0547 loss_kernel: 0.0298 2022/11/01 17:12:05 - mmengine - INFO - Epoch(train) [96][50/63] lr: 1.0000e-04 eta: 19:38:23 time: 0.7837 data_time: 0.0295 memory: 27786 loss: 0.0743 loss_text: 0.0478 loss_kernel: 0.0265 2022/11/01 17:12:09 - mmengine - INFO - Epoch(train) [96][55/63] lr: 1.0000e-04 eta: 19:38:23 time: 0.7748 data_time: 0.0245 memory: 27786 loss: 0.0730 loss_text: 0.0461 loss_kernel: 0.0269 2022/11/01 17:12:13 - mmengine - INFO - Epoch(train) [96][60/63] lr: 1.0000e-04 eta: 19:36:24 time: 0.7788 data_time: 0.0169 memory: 27786 loss: 0.0749 loss_text: 0.0468 loss_kernel: 0.0281 2022/11/01 17:12:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:13:55 - mmengine - INFO - Epoch(train) [97][5/63] lr: 1.0000e-04 eta: 19:36:24 time: 10.2802 data_time: 9.5667 memory: 27786 loss: 0.0904 loss_text: 0.0584 loss_kernel: 0.0321 2022/11/01 17:13:59 - mmengine - INFO - Epoch(train) [97][10/63] lr: 1.0000e-04 eta: 19:44:11 time: 10.3741 data_time: 9.6137 memory: 27786 loss: 0.0944 loss_text: 0.0614 loss_kernel: 0.0330 2022/11/01 17:14:03 - mmengine - INFO - Epoch(train) [97][15/63] lr: 1.0000e-04 eta: 19:44:11 time: 0.8252 data_time: 0.0547 memory: 27786 loss: 0.0978 loss_text: 0.0636 loss_kernel: 0.0342 2022/11/01 17:14:07 - mmengine - INFO - Epoch(train) [97][20/63] lr: 1.0000e-04 eta: 19:42:13 time: 0.7952 data_time: 0.0226 memory: 27786 loss: 0.0875 loss_text: 0.0563 loss_kernel: 0.0312 2022/11/01 17:14:11 - mmengine - INFO - Epoch(train) [97][25/63] lr: 1.0000e-04 eta: 19:42:13 time: 0.8118 data_time: 0.0319 memory: 27786 loss: 0.0790 loss_text: 0.0509 loss_kernel: 0.0281 2022/11/01 17:14:15 - mmengine - INFO - Epoch(train) [97][30/63] lr: 1.0000e-04 eta: 19:40:16 time: 0.8037 data_time: 0.0212 memory: 27786 loss: 0.0821 loss_text: 0.0543 loss_kernel: 0.0278 2022/11/01 17:14:19 - mmengine - INFO - Epoch(train) [97][35/63] lr: 1.0000e-04 eta: 19:40:16 time: 0.8098 data_time: 0.0273 memory: 27786 loss: 0.0800 loss_text: 0.0526 loss_kernel: 0.0274 2022/11/01 17:14:23 - mmengine - INFO - Epoch(train) [97][40/63] lr: 1.0000e-04 eta: 19:38:21 time: 0.8147 data_time: 0.0264 memory: 27786 loss: 0.0855 loss_text: 0.0542 loss_kernel: 0.0313 2022/11/01 17:14:27 - mmengine - INFO - Epoch(train) [97][45/63] lr: 1.0000e-04 eta: 19:38:21 time: 0.8072 data_time: 0.0217 memory: 27786 loss: 0.0879 loss_text: 0.0559 loss_kernel: 0.0319 2022/11/01 17:14:31 - mmengine - INFO - Epoch(train) [97][50/63] lr: 1.0000e-04 eta: 19:36:26 time: 0.8153 data_time: 0.0327 memory: 27786 loss: 0.0921 loss_text: 0.0596 loss_kernel: 0.0325 2022/11/01 17:14:35 - mmengine - INFO - Epoch(train) [97][55/63] lr: 1.0000e-04 eta: 19:36:26 time: 0.8070 data_time: 0.0254 memory: 27786 loss: 0.0930 loss_text: 0.0595 loss_kernel: 0.0334 2022/11/01 17:14:39 - mmengine - INFO - Epoch(train) [97][60/63] lr: 1.0000e-04 eta: 19:34:29 time: 0.7776 data_time: 0.0165 memory: 27786 loss: 0.0772 loss_text: 0.0482 loss_kernel: 0.0291 2022/11/01 17:14:41 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:16:21 - mmengine - INFO - Epoch(train) [98][5/63] lr: 1.0000e-04 eta: 19:34:29 time: 10.3299 data_time: 9.6066 memory: 27786 loss: 0.0792 loss_text: 0.0515 loss_kernel: 0.0277 2022/11/01 17:16:25 - mmengine - INFO - Epoch(train) [98][10/63] lr: 1.0000e-04 eta: 19:42:08 time: 10.3848 data_time: 9.6202 memory: 27786 loss: 0.0755 loss_text: 0.0485 loss_kernel: 0.0271 2022/11/01 17:16:29 - mmengine - INFO - Epoch(train) [98][15/63] lr: 1.0000e-04 eta: 19:42:08 time: 0.7978 data_time: 0.0344 memory: 27786 loss: 0.0728 loss_text: 0.0451 loss_kernel: 0.0277 2022/11/01 17:16:33 - mmengine - INFO - Epoch(train) [98][20/63] lr: 1.0000e-04 eta: 19:40:11 time: 0.7841 data_time: 0.0327 memory: 27786 loss: 0.0774 loss_text: 0.0495 loss_kernel: 0.0279 2022/11/01 17:16:37 - mmengine - INFO - Epoch(train) [98][25/63] lr: 1.0000e-04 eta: 19:40:11 time: 0.7628 data_time: 0.0265 memory: 27786 loss: 0.0800 loss_text: 0.0514 loss_kernel: 0.0286 2022/11/01 17:16:41 - mmengine - INFO - Epoch(train) [98][30/63] lr: 1.0000e-04 eta: 19:38:15 time: 0.7809 data_time: 0.0207 memory: 27786 loss: 0.0779 loss_text: 0.0494 loss_kernel: 0.0285 2022/11/01 17:16:45 - mmengine - INFO - Epoch(train) [98][35/63] lr: 1.0000e-04 eta: 19:38:15 time: 0.7980 data_time: 0.0252 memory: 27786 loss: 0.0892 loss_text: 0.0574 loss_kernel: 0.0318 2022/11/01 17:16:48 - mmengine - INFO - Epoch(train) [98][40/63] lr: 1.0000e-04 eta: 19:36:19 time: 0.7944 data_time: 0.0222 memory: 27786 loss: 0.0984 loss_text: 0.0631 loss_kernel: 0.0353 2022/11/01 17:16:53 - mmengine - INFO - Epoch(train) [98][45/63] lr: 1.0000e-04 eta: 19:36:19 time: 0.8000 data_time: 0.0251 memory: 27786 loss: 0.1028 loss_text: 0.0682 loss_kernel: 0.0346 2022/11/01 17:16:56 - mmengine - INFO - Epoch(train) [98][50/63] lr: 1.0000e-04 eta: 19:34:25 time: 0.8001 data_time: 0.0268 memory: 27786 loss: 0.1007 loss_text: 0.0666 loss_kernel: 0.0341 2022/11/01 17:17:00 - mmengine - INFO - Epoch(train) [98][55/63] lr: 1.0000e-04 eta: 19:34:25 time: 0.7902 data_time: 0.0212 memory: 27786 loss: 0.0891 loss_text: 0.0559 loss_kernel: 0.0332 2022/11/01 17:17:04 - mmengine - INFO - Epoch(train) [98][60/63] lr: 1.0000e-04 eta: 19:32:29 time: 0.7831 data_time: 0.0206 memory: 27786 loss: 0.0979 loss_text: 0.0637 loss_kernel: 0.0343 2022/11/01 17:17:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:18:46 - mmengine - INFO - Epoch(train) [99][5/63] lr: 1.0000e-04 eta: 19:32:29 time: 10.2688 data_time: 9.5241 memory: 27786 loss: 0.0938 loss_text: 0.0612 loss_kernel: 0.0325 2022/11/01 17:18:50 - mmengine - INFO - Epoch(train) [99][10/63] lr: 1.0000e-04 eta: 19:39:57 time: 10.3177 data_time: 9.5284 memory: 27786 loss: 0.0844 loss_text: 0.0532 loss_kernel: 0.0312 2022/11/01 17:18:53 - mmengine - INFO - Epoch(train) [99][15/63] lr: 1.0000e-04 eta: 19:39:57 time: 0.7832 data_time: 0.0260 memory: 27786 loss: 0.0841 loss_text: 0.0546 loss_kernel: 0.0295 2022/11/01 17:18:57 - mmengine - INFO - Epoch(train) [99][20/63] lr: 1.0000e-04 eta: 19:38:01 time: 0.7738 data_time: 0.0264 memory: 27786 loss: 0.1010 loss_text: 0.0673 loss_kernel: 0.0337 2022/11/01 17:19:01 - mmengine - INFO - Epoch(train) [99][25/63] lr: 1.0000e-04 eta: 19:38:01 time: 0.7909 data_time: 0.0300 memory: 27786 loss: 0.1072 loss_text: 0.0717 loss_kernel: 0.0356 2022/11/01 17:19:05 - mmengine - INFO - Epoch(train) [99][30/63] lr: 1.0000e-04 eta: 19:36:07 time: 0.8041 data_time: 0.0315 memory: 27786 loss: 0.0985 loss_text: 0.0643 loss_kernel: 0.0342 2022/11/01 17:19:09 - mmengine - INFO - Epoch(train) [99][35/63] lr: 1.0000e-04 eta: 19:36:07 time: 0.7957 data_time: 0.0229 memory: 27786 loss: 0.0927 loss_text: 0.0584 loss_kernel: 0.0344 2022/11/01 17:19:13 - mmengine - INFO - Epoch(train) [99][40/63] lr: 1.0000e-04 eta: 19:34:13 time: 0.7970 data_time: 0.0206 memory: 27786 loss: 0.0904 loss_text: 0.0580 loss_kernel: 0.0323 2022/11/01 17:19:17 - mmengine - INFO - Epoch(train) [99][45/63] lr: 1.0000e-04 eta: 19:34:13 time: 0.8170 data_time: 0.0284 memory: 27786 loss: 0.1029 loss_text: 0.0686 loss_kernel: 0.0344 2022/11/01 17:19:21 - mmengine - INFO - Epoch(train) [99][50/63] lr: 1.0000e-04 eta: 19:32:20 time: 0.7998 data_time: 0.0259 memory: 27786 loss: 0.1074 loss_text: 0.0711 loss_kernel: 0.0363 2022/11/01 17:19:25 - mmengine - INFO - Epoch(train) [99][55/63] lr: 1.0000e-04 eta: 19:32:20 time: 0.7890 data_time: 0.0226 memory: 27786 loss: 0.0932 loss_text: 0.0603 loss_kernel: 0.0328 2022/11/01 17:19:29 - mmengine - INFO - Epoch(train) [99][60/63] lr: 1.0000e-04 eta: 19:30:26 time: 0.7920 data_time: 0.0223 memory: 27786 loss: 0.0852 loss_text: 0.0545 loss_kernel: 0.0307 2022/11/01 17:19:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:21:12 - mmengine - INFO - Epoch(train) [100][5/63] lr: 1.0000e-04 eta: 19:30:26 time: 10.4276 data_time: 9.6833 memory: 27786 loss: 0.0904 loss_text: 0.0581 loss_kernel: 0.0322 2022/11/01 17:21:16 - mmengine - INFO - Epoch(train) [100][10/63] lr: 1.0000e-04 eta: 19:37:57 time: 10.4754 data_time: 9.6855 memory: 27786 loss: 0.0817 loss_text: 0.0513 loss_kernel: 0.0304 2022/11/01 17:21:20 - mmengine - INFO - Epoch(train) [100][15/63] lr: 1.0000e-04 eta: 19:37:57 time: 0.7901 data_time: 0.0206 memory: 27786 loss: 0.0899 loss_text: 0.0582 loss_kernel: 0.0317 2022/11/01 17:21:24 - mmengine - INFO - Epoch(train) [100][20/63] lr: 1.0000e-04 eta: 19:36:04 time: 0.7916 data_time: 0.0306 memory: 27786 loss: 0.0991 loss_text: 0.0655 loss_kernel: 0.0337 2022/11/01 17:21:28 - mmengine - INFO - Epoch(train) [100][25/63] lr: 1.0000e-04 eta: 19:36:04 time: 0.8123 data_time: 0.0331 memory: 27786 loss: 0.0969 loss_text: 0.0633 loss_kernel: 0.0336 2022/11/01 17:21:32 - mmengine - INFO - Epoch(train) [100][30/63] lr: 1.0000e-04 eta: 19:34:11 time: 0.8092 data_time: 0.0250 memory: 27786 loss: 0.1001 loss_text: 0.0655 loss_kernel: 0.0346 2022/11/01 17:21:36 - mmengine - INFO - Epoch(train) [100][35/63] lr: 1.0000e-04 eta: 19:34:11 time: 0.7954 data_time: 0.0230 memory: 27786 loss: 0.1113 loss_text: 0.0726 loss_kernel: 0.0386 2022/11/01 17:21:40 - mmengine - INFO - Epoch(train) [100][40/63] lr: 1.0000e-04 eta: 19:32:18 time: 0.7852 data_time: 0.0245 memory: 27786 loss: 0.0961 loss_text: 0.0614 loss_kernel: 0.0348 2022/11/01 17:21:44 - mmengine - INFO - Epoch(train) [100][45/63] lr: 1.0000e-04 eta: 19:32:18 time: 0.7993 data_time: 0.0267 memory: 27786 loss: 0.0848 loss_text: 0.0549 loss_kernel: 0.0299 2022/11/01 17:21:48 - mmengine - INFO - Epoch(train) [100][50/63] lr: 1.0000e-04 eta: 19:30:26 time: 0.8021 data_time: 0.0242 memory: 27786 loss: 0.0828 loss_text: 0.0542 loss_kernel: 0.0286 2022/11/01 17:21:52 - mmengine - INFO - Epoch(train) [100][55/63] lr: 1.0000e-04 eta: 19:30:26 time: 0.7757 data_time: 0.0195 memory: 27786 loss: 0.0756 loss_text: 0.0479 loss_kernel: 0.0277 2022/11/01 17:21:56 - mmengine - INFO - Epoch(train) [100][60/63] lr: 1.0000e-04 eta: 19:28:33 time: 0.7834 data_time: 0.0212 memory: 27786 loss: 0.0874 loss_text: 0.0559 loss_kernel: 0.0315 2022/11/01 17:21:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:21:58 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/11/01 17:23:43 - mmengine - INFO - Epoch(train) [101][5/63] lr: 1.0000e-04 eta: 19:28:33 time: 10.3490 data_time: 9.6132 memory: 27786 loss: 0.0882 loss_text: 0.0572 loss_kernel: 0.0310 2022/11/01 17:23:47 - mmengine - INFO - Epoch(train) [101][10/63] lr: 1.0000e-04 eta: 19:35:52 time: 10.3931 data_time: 9.6192 memory: 27786 loss: 0.0740 loss_text: 0.0457 loss_kernel: 0.0283 2022/11/01 17:23:51 - mmengine - INFO - Epoch(train) [101][15/63] lr: 1.0000e-04 eta: 19:35:52 time: 0.7923 data_time: 0.0222 memory: 27786 loss: 0.0813 loss_text: 0.0509 loss_kernel: 0.0304 2022/11/01 17:23:55 - mmengine - INFO - Epoch(train) [101][20/63] lr: 1.0000e-04 eta: 19:33:59 time: 0.7902 data_time: 0.0236 memory: 27786 loss: 0.0978 loss_text: 0.0644 loss_kernel: 0.0335 2022/11/01 17:23:59 - mmengine - INFO - Epoch(train) [101][25/63] lr: 1.0000e-04 eta: 19:33:59 time: 0.7904 data_time: 0.0278 memory: 27786 loss: 0.1002 loss_text: 0.0649 loss_kernel: 0.0353 2022/11/01 17:24:02 - mmengine - INFO - Epoch(train) [101][30/63] lr: 1.0000e-04 eta: 19:32:07 time: 0.7880 data_time: 0.0253 memory: 27786 loss: 0.0973 loss_text: 0.0623 loss_kernel: 0.0350 2022/11/01 17:24:07 - mmengine - INFO - Epoch(train) [101][35/63] lr: 1.0000e-04 eta: 19:32:07 time: 0.7988 data_time: 0.0248 memory: 27786 loss: 0.0855 loss_text: 0.0550 loss_kernel: 0.0305 2022/11/01 17:24:11 - mmengine - INFO - Epoch(train) [101][40/63] lr: 1.0000e-04 eta: 19:30:16 time: 0.8012 data_time: 0.0207 memory: 27786 loss: 0.0795 loss_text: 0.0505 loss_kernel: 0.0289 2022/11/01 17:24:14 - mmengine - INFO - Epoch(train) [101][45/63] lr: 1.0000e-04 eta: 19:30:16 time: 0.7783 data_time: 0.0196 memory: 27786 loss: 0.0815 loss_text: 0.0529 loss_kernel: 0.0285 2022/11/01 17:24:18 - mmengine - INFO - Epoch(train) [101][50/63] lr: 1.0000e-04 eta: 19:28:24 time: 0.7863 data_time: 0.0285 memory: 27786 loss: 0.0747 loss_text: 0.0488 loss_kernel: 0.0259 2022/11/01 17:24:22 - mmengine - INFO - Epoch(train) [101][55/63] lr: 1.0000e-04 eta: 19:28:24 time: 0.7974 data_time: 0.0249 memory: 27786 loss: 0.0792 loss_text: 0.0506 loss_kernel: 0.0286 2022/11/01 17:24:26 - mmengine - INFO - Epoch(train) [101][60/63] lr: 1.0000e-04 eta: 19:26:33 time: 0.7786 data_time: 0.0171 memory: 27786 loss: 0.0839 loss_text: 0.0537 loss_kernel: 0.0302 2022/11/01 17:24:28 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:26:09 - mmengine - INFO - Epoch(train) [102][5/63] lr: 1.0000e-04 eta: 19:26:33 time: 10.4286 data_time: 9.6748 memory: 27786 loss: 0.0932 loss_text: 0.0604 loss_kernel: 0.0328 2022/11/01 17:26:13 - mmengine - INFO - Epoch(train) [102][10/63] lr: 1.0000e-04 eta: 19:33:51 time: 10.4988 data_time: 9.7026 memory: 27786 loss: 0.1012 loss_text: 0.0660 loss_kernel: 0.0352 2022/11/01 17:26:17 - mmengine - INFO - Epoch(train) [102][15/63] lr: 1.0000e-04 eta: 19:33:51 time: 0.8193 data_time: 0.0443 memory: 27786 loss: 0.0898 loss_text: 0.0579 loss_kernel: 0.0319 2022/11/01 17:26:21 - mmengine - INFO - Epoch(train) [102][20/63] lr: 1.0000e-04 eta: 19:32:00 time: 0.7924 data_time: 0.0310 memory: 27786 loss: 0.0822 loss_text: 0.0518 loss_kernel: 0.0305 2022/11/01 17:26:25 - mmengine - INFO - Epoch(train) [102][25/63] lr: 1.0000e-04 eta: 19:32:00 time: 0.7910 data_time: 0.0287 memory: 27786 loss: 0.0765 loss_text: 0.0480 loss_kernel: 0.0285 2022/11/01 17:26:29 - mmengine - INFO - Epoch(train) [102][30/63] lr: 1.0000e-04 eta: 19:30:09 time: 0.7999 data_time: 0.0232 memory: 27786 loss: 0.0740 loss_text: 0.0464 loss_kernel: 0.0277 2022/11/01 17:26:33 - mmengine - INFO - Epoch(train) [102][35/63] lr: 1.0000e-04 eta: 19:30:09 time: 0.8036 data_time: 0.0333 memory: 27786 loss: 0.0880 loss_text: 0.0561 loss_kernel: 0.0319 2022/11/01 17:26:37 - mmengine - INFO - Epoch(train) [102][40/63] lr: 1.0000e-04 eta: 19:28:19 time: 0.7884 data_time: 0.0260 memory: 27786 loss: 0.0849 loss_text: 0.0540 loss_kernel: 0.0309 2022/11/01 17:26:41 - mmengine - INFO - Epoch(train) [102][45/63] lr: 1.0000e-04 eta: 19:28:19 time: 0.8054 data_time: 0.0301 memory: 27786 loss: 0.0700 loss_text: 0.0436 loss_kernel: 0.0264 2022/11/01 17:26:45 - mmengine - INFO - Epoch(train) [102][50/63] lr: 1.0000e-04 eta: 19:26:29 time: 0.7978 data_time: 0.0277 memory: 27786 loss: 0.0677 loss_text: 0.0415 loss_kernel: 0.0261 2022/11/01 17:26:49 - mmengine - INFO - Epoch(train) [102][55/63] lr: 1.0000e-04 eta: 19:26:29 time: 0.7855 data_time: 0.0198 memory: 27786 loss: 0.0802 loss_text: 0.0502 loss_kernel: 0.0301 2022/11/01 17:26:53 - mmengine - INFO - Epoch(train) [102][60/63] lr: 1.0000e-04 eta: 19:24:39 time: 0.7914 data_time: 0.0249 memory: 27786 loss: 0.0908 loss_text: 0.0572 loss_kernel: 0.0336 2022/11/01 17:26:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:28:35 - mmengine - INFO - Epoch(train) [103][5/63] lr: 1.0000e-04 eta: 19:24:39 time: 10.3174 data_time: 9.5867 memory: 27786 loss: 0.0927 loss_text: 0.0605 loss_kernel: 0.0323 2022/11/01 17:28:39 - mmengine - INFO - Epoch(train) [103][10/63] lr: 1.0000e-04 eta: 19:31:43 time: 10.3653 data_time: 9.5849 memory: 27786 loss: 0.0965 loss_text: 0.0626 loss_kernel: 0.0339 2022/11/01 17:28:43 - mmengine - INFO - Epoch(train) [103][15/63] lr: 1.0000e-04 eta: 19:31:43 time: 0.7968 data_time: 0.0225 memory: 27786 loss: 0.0833 loss_text: 0.0526 loss_kernel: 0.0307 2022/11/01 17:28:47 - mmengine - INFO - Epoch(train) [103][20/63] lr: 1.0000e-04 eta: 19:29:53 time: 0.7960 data_time: 0.0329 memory: 27786 loss: 0.0776 loss_text: 0.0490 loss_kernel: 0.0286 2022/11/01 17:28:51 - mmengine - INFO - Epoch(train) [103][25/63] lr: 1.0000e-04 eta: 19:29:53 time: 0.7932 data_time: 0.0230 memory: 27786 loss: 0.0808 loss_text: 0.0509 loss_kernel: 0.0299 2022/11/01 17:28:55 - mmengine - INFO - Epoch(train) [103][30/63] lr: 1.0000e-04 eta: 19:28:04 time: 0.7991 data_time: 0.0216 memory: 27786 loss: 0.0817 loss_text: 0.0517 loss_kernel: 0.0300 2022/11/01 17:28:59 - mmengine - INFO - Epoch(train) [103][35/63] lr: 1.0000e-04 eta: 19:28:04 time: 0.8026 data_time: 0.0297 memory: 27786 loss: 0.0866 loss_text: 0.0563 loss_kernel: 0.0303 2022/11/01 17:29:03 - mmengine - INFO - Epoch(train) [103][40/63] lr: 1.0000e-04 eta: 19:26:15 time: 0.7908 data_time: 0.0208 memory: 27786 loss: 0.0946 loss_text: 0.0616 loss_kernel: 0.0331 2022/11/01 17:29:07 - mmengine - INFO - Epoch(train) [103][45/63] lr: 1.0000e-04 eta: 19:26:15 time: 0.7872 data_time: 0.0199 memory: 27786 loss: 0.0949 loss_text: 0.0613 loss_kernel: 0.0336 2022/11/01 17:29:10 - mmengine - INFO - Epoch(train) [103][50/63] lr: 1.0000e-04 eta: 19:24:25 time: 0.7853 data_time: 0.0228 memory: 27786 loss: 0.0858 loss_text: 0.0554 loss_kernel: 0.0304 2022/11/01 17:29:14 - mmengine - INFO - Epoch(train) [103][55/63] lr: 1.0000e-04 eta: 19:24:25 time: 0.7808 data_time: 0.0219 memory: 27786 loss: 0.0786 loss_text: 0.0498 loss_kernel: 0.0288 2022/11/01 17:29:18 - mmengine - INFO - Epoch(train) [103][60/63] lr: 1.0000e-04 eta: 19:22:37 time: 0.7884 data_time: 0.0279 memory: 27786 loss: 0.0848 loss_text: 0.0542 loss_kernel: 0.0307 2022/11/01 17:29:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:31:01 - mmengine - INFO - Epoch(train) [104][5/63] lr: 1.0000e-04 eta: 19:22:37 time: 10.4181 data_time: 9.6860 memory: 27786 loss: 0.0826 loss_text: 0.0511 loss_kernel: 0.0314 2022/11/01 17:31:05 - mmengine - INFO - Epoch(train) [104][10/63] lr: 1.0000e-04 eta: 19:29:40 time: 10.4754 data_time: 9.6921 memory: 27786 loss: 0.0780 loss_text: 0.0493 loss_kernel: 0.0287 2022/11/01 17:31:09 - mmengine - INFO - Epoch(train) [104][15/63] lr: 1.0000e-04 eta: 19:29:40 time: 0.8078 data_time: 0.0221 memory: 27786 loss: 0.0756 loss_text: 0.0479 loss_kernel: 0.0277 2022/11/01 17:31:13 - mmengine - INFO - Epoch(train) [104][20/63] lr: 1.0000e-04 eta: 19:27:52 time: 0.8055 data_time: 0.0247 memory: 27786 loss: 0.0739 loss_text: 0.0455 loss_kernel: 0.0284 2022/11/01 17:31:17 - mmengine - INFO - Epoch(train) [104][25/63] lr: 1.0000e-04 eta: 19:27:52 time: 0.8004 data_time: 0.0223 memory: 27786 loss: 0.0856 loss_text: 0.0536 loss_kernel: 0.0320 2022/11/01 17:31:21 - mmengine - INFO - Epoch(train) [104][30/63] lr: 1.0000e-04 eta: 19:26:04 time: 0.7953 data_time: 0.0184 memory: 27786 loss: 0.0945 loss_text: 0.0611 loss_kernel: 0.0334 2022/11/01 17:31:25 - mmengine - INFO - Epoch(train) [104][35/63] lr: 1.0000e-04 eta: 19:26:04 time: 0.8059 data_time: 0.0256 memory: 27786 loss: 0.0886 loss_text: 0.0574 loss_kernel: 0.0312 2022/11/01 17:31:29 - mmengine - INFO - Epoch(train) [104][40/63] lr: 1.0000e-04 eta: 19:24:16 time: 0.7991 data_time: 0.0210 memory: 27786 loss: 0.0861 loss_text: 0.0541 loss_kernel: 0.0320 2022/11/01 17:31:33 - mmengine - INFO - Epoch(train) [104][45/63] lr: 1.0000e-04 eta: 19:24:16 time: 0.8057 data_time: 0.0292 memory: 27786 loss: 0.0851 loss_text: 0.0539 loss_kernel: 0.0311 2022/11/01 17:31:37 - mmengine - INFO - Epoch(train) [104][50/63] lr: 1.0000e-04 eta: 19:22:29 time: 0.7984 data_time: 0.0292 memory: 27786 loss: 0.0853 loss_text: 0.0557 loss_kernel: 0.0296 2022/11/01 17:31:41 - mmengine - INFO - Epoch(train) [104][55/63] lr: 1.0000e-04 eta: 19:22:29 time: 0.7753 data_time: 0.0183 memory: 27786 loss: 0.0960 loss_text: 0.0630 loss_kernel: 0.0330 2022/11/01 17:31:45 - mmengine - INFO - Epoch(train) [104][60/63] lr: 1.0000e-04 eta: 19:20:41 time: 0.7755 data_time: 0.0212 memory: 27786 loss: 0.0952 loss_text: 0.0617 loss_kernel: 0.0335 2022/11/01 17:31:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:33:26 - mmengine - INFO - Epoch(train) [105][5/63] lr: 1.0000e-04 eta: 19:20:41 time: 10.2686 data_time: 9.5461 memory: 27786 loss: 0.0818 loss_text: 0.0512 loss_kernel: 0.0307 2022/11/01 17:33:30 - mmengine - INFO - Epoch(train) [105][10/63] lr: 1.0000e-04 eta: 19:27:28 time: 10.3027 data_time: 9.5453 memory: 27786 loss: 0.0761 loss_text: 0.0476 loss_kernel: 0.0285 2022/11/01 17:33:34 - mmengine - INFO - Epoch(train) [105][15/63] lr: 1.0000e-04 eta: 19:27:28 time: 0.7737 data_time: 0.0206 memory: 27786 loss: 0.0702 loss_text: 0.0442 loss_kernel: 0.0260 2022/11/01 17:33:38 - mmengine - INFO - Epoch(train) [105][20/63] lr: 1.0000e-04 eta: 19:25:40 time: 0.7886 data_time: 0.0344 memory: 27786 loss: 0.0764 loss_text: 0.0489 loss_kernel: 0.0275 2022/11/01 17:33:42 - mmengine - INFO - Epoch(train) [105][25/63] lr: 1.0000e-04 eta: 19:25:40 time: 0.7947 data_time: 0.0275 memory: 27786 loss: 0.0855 loss_text: 0.0547 loss_kernel: 0.0309 2022/11/01 17:33:46 - mmengine - INFO - Epoch(train) [105][30/63] lr: 1.0000e-04 eta: 19:23:53 time: 0.7946 data_time: 0.0189 memory: 27786 loss: 0.0912 loss_text: 0.0580 loss_kernel: 0.0333 2022/11/01 17:33:50 - mmengine - INFO - Epoch(train) [105][35/63] lr: 1.0000e-04 eta: 19:23:53 time: 0.7948 data_time: 0.0248 memory: 27786 loss: 0.0907 loss_text: 0.0589 loss_kernel: 0.0319 2022/11/01 17:33:54 - mmengine - INFO - Epoch(train) [105][40/63] lr: 1.0000e-04 eta: 19:22:06 time: 0.7869 data_time: 0.0225 memory: 27786 loss: 0.0831 loss_text: 0.0547 loss_kernel: 0.0285 2022/11/01 17:33:57 - mmengine - INFO - Epoch(train) [105][45/63] lr: 1.0000e-04 eta: 19:22:06 time: 0.7843 data_time: 0.0226 memory: 27786 loss: 0.0855 loss_text: 0.0566 loss_kernel: 0.0289 2022/11/01 17:34:02 - mmengine - INFO - Epoch(train) [105][50/63] lr: 1.0000e-04 eta: 19:20:20 time: 0.7979 data_time: 0.0202 memory: 27786 loss: 0.1014 loss_text: 0.0670 loss_kernel: 0.0344 2022/11/01 17:34:05 - mmengine - INFO - Epoch(train) [105][55/63] lr: 1.0000e-04 eta: 19:20:20 time: 0.7930 data_time: 0.0198 memory: 27786 loss: 0.0926 loss_text: 0.0596 loss_kernel: 0.0331 2022/11/01 17:34:09 - mmengine - INFO - Epoch(train) [105][60/63] lr: 1.0000e-04 eta: 19:18:33 time: 0.7794 data_time: 0.0311 memory: 27786 loss: 0.0750 loss_text: 0.0481 loss_kernel: 0.0269 2022/11/01 17:34:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:35:52 - mmengine - INFO - Epoch(train) [106][5/63] lr: 1.0000e-04 eta: 19:18:33 time: 10.4272 data_time: 9.6913 memory: 27786 loss: 0.0897 loss_text: 0.0600 loss_kernel: 0.0297 2022/11/01 17:35:56 - mmengine - INFO - Epoch(train) [106][10/63] lr: 1.0000e-04 eta: 19:25:24 time: 10.4698 data_time: 9.6896 memory: 27786 loss: 0.0870 loss_text: 0.0570 loss_kernel: 0.0300 2022/11/01 17:36:00 - mmengine - INFO - Epoch(train) [106][15/63] lr: 1.0000e-04 eta: 19:25:24 time: 0.7863 data_time: 0.0145 memory: 27786 loss: 0.0894 loss_text: 0.0581 loss_kernel: 0.0313 2022/11/01 17:36:04 - mmengine - INFO - Epoch(train) [106][20/63] lr: 1.0000e-04 eta: 19:23:38 time: 0.8141 data_time: 0.0365 memory: 27786 loss: 0.0862 loss_text: 0.0550 loss_kernel: 0.0312 2022/11/01 17:36:08 - mmengine - INFO - Epoch(train) [106][25/63] lr: 1.0000e-04 eta: 19:23:38 time: 0.8183 data_time: 0.0469 memory: 27786 loss: 0.0743 loss_text: 0.0474 loss_kernel: 0.0269 2022/11/01 17:36:12 - mmengine - INFO - Epoch(train) [106][30/63] lr: 1.0000e-04 eta: 19:21:52 time: 0.7959 data_time: 0.0270 memory: 27786 loss: 0.0872 loss_text: 0.0568 loss_kernel: 0.0304 2022/11/01 17:36:16 - mmengine - INFO - Epoch(train) [106][35/63] lr: 1.0000e-04 eta: 19:21:52 time: 0.7902 data_time: 0.0232 memory: 27786 loss: 0.0917 loss_text: 0.0588 loss_kernel: 0.0330 2022/11/01 17:36:20 - mmengine - INFO - Epoch(train) [106][40/63] lr: 1.0000e-04 eta: 19:20:07 time: 0.8025 data_time: 0.0290 memory: 27786 loss: 0.0886 loss_text: 0.0574 loss_kernel: 0.0312 2022/11/01 17:36:24 - mmengine - INFO - Epoch(train) [106][45/63] lr: 1.0000e-04 eta: 19:20:07 time: 0.7994 data_time: 0.0240 memory: 27786 loss: 0.1057 loss_text: 0.0697 loss_kernel: 0.0360 2022/11/01 17:36:28 - mmengine - INFO - Epoch(train) [106][50/63] lr: 1.0000e-04 eta: 19:18:22 time: 0.7953 data_time: 0.0196 memory: 27786 loss: 0.1044 loss_text: 0.0679 loss_kernel: 0.0365 2022/11/01 17:36:32 - mmengine - INFO - Epoch(train) [106][55/63] lr: 1.0000e-04 eta: 19:18:22 time: 0.7912 data_time: 0.0182 memory: 27786 loss: 0.0875 loss_text: 0.0555 loss_kernel: 0.0320 2022/11/01 17:36:36 - mmengine - INFO - Epoch(train) [106][60/63] lr: 1.0000e-04 eta: 19:16:36 time: 0.7833 data_time: 0.0173 memory: 27786 loss: 0.0823 loss_text: 0.0522 loss_kernel: 0.0301 2022/11/01 17:36:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:38:16 - mmengine - INFO - Epoch(train) [107][5/63] lr: 1.0000e-04 eta: 19:16:36 time: 10.2068 data_time: 9.4806 memory: 27786 loss: 0.0781 loss_text: 0.0510 loss_kernel: 0.0271 2022/11/01 17:38:20 - mmengine - INFO - Epoch(train) [107][10/63] lr: 1.0000e-04 eta: 19:23:09 time: 10.2617 data_time: 9.4865 memory: 27786 loss: 0.0776 loss_text: 0.0496 loss_kernel: 0.0279 2022/11/01 17:38:25 - mmengine - INFO - Epoch(train) [107][15/63] lr: 1.0000e-04 eta: 19:23:09 time: 0.8009 data_time: 0.0236 memory: 27786 loss: 0.0791 loss_text: 0.0498 loss_kernel: 0.0293 2022/11/01 17:38:28 - mmengine - INFO - Epoch(train) [107][20/63] lr: 1.0000e-04 eta: 19:21:24 time: 0.7903 data_time: 0.0219 memory: 27786 loss: 0.0866 loss_text: 0.0554 loss_kernel: 0.0311 2022/11/01 17:38:32 - mmengine - INFO - Epoch(train) [107][25/63] lr: 1.0000e-04 eta: 19:21:24 time: 0.7846 data_time: 0.0266 memory: 27786 loss: 0.0921 loss_text: 0.0608 loss_kernel: 0.0313 2022/11/01 17:38:36 - mmengine - INFO - Epoch(train) [107][30/63] lr: 1.0000e-04 eta: 19:19:39 time: 0.7915 data_time: 0.0264 memory: 27786 loss: 0.0924 loss_text: 0.0619 loss_kernel: 0.0305 2022/11/01 17:38:40 - mmengine - INFO - Epoch(train) [107][35/63] lr: 1.0000e-04 eta: 19:19:39 time: 0.7988 data_time: 0.0273 memory: 27786 loss: 0.0990 loss_text: 0.0643 loss_kernel: 0.0347 2022/11/01 17:38:44 - mmengine - INFO - Epoch(train) [107][40/63] lr: 1.0000e-04 eta: 19:17:55 time: 0.8079 data_time: 0.0240 memory: 27786 loss: 0.1039 loss_text: 0.0665 loss_kernel: 0.0374 2022/11/01 17:38:48 - mmengine - INFO - Epoch(train) [107][45/63] lr: 1.0000e-04 eta: 19:17:55 time: 0.8138 data_time: 0.0256 memory: 27786 loss: 0.0890 loss_text: 0.0573 loss_kernel: 0.0318 2022/11/01 17:38:52 - mmengine - INFO - Epoch(train) [107][50/63] lr: 1.0000e-04 eta: 19:16:11 time: 0.7936 data_time: 0.0251 memory: 27786 loss: 0.0783 loss_text: 0.0506 loss_kernel: 0.0277 2022/11/01 17:38:56 - mmengine - INFO - Epoch(train) [107][55/63] lr: 1.0000e-04 eta: 19:16:11 time: 0.7827 data_time: 0.0178 memory: 27786 loss: 0.0788 loss_text: 0.0512 loss_kernel: 0.0276 2022/11/01 17:39:00 - mmengine - INFO - Epoch(train) [107][60/63] lr: 1.0000e-04 eta: 19:14:26 time: 0.7839 data_time: 0.0199 memory: 27786 loss: 0.0769 loss_text: 0.0489 loss_kernel: 0.0281 2022/11/01 17:39:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:40:43 - mmengine - INFO - Epoch(train) [108][5/63] lr: 1.0000e-04 eta: 19:14:26 time: 10.4575 data_time: 9.7208 memory: 27786 loss: 0.0783 loss_text: 0.0493 loss_kernel: 0.0289 2022/11/01 17:40:47 - mmengine - INFO - Epoch(train) [108][10/63] lr: 1.0000e-04 eta: 19:21:08 time: 10.5197 data_time: 9.7334 memory: 27786 loss: 0.1007 loss_text: 0.0644 loss_kernel: 0.0362 2022/11/01 17:40:51 - mmengine - INFO - Epoch(train) [108][15/63] lr: 1.0000e-04 eta: 19:21:08 time: 0.7917 data_time: 0.0249 memory: 27786 loss: 0.1038 loss_text: 0.0679 loss_kernel: 0.0359 2022/11/01 17:40:55 - mmengine - INFO - Epoch(train) [108][20/63] lr: 1.0000e-04 eta: 19:19:23 time: 0.7827 data_time: 0.0164 memory: 27786 loss: 0.0916 loss_text: 0.0599 loss_kernel: 0.0317 2022/11/01 17:40:59 - mmengine - INFO - Epoch(train) [108][25/63] lr: 1.0000e-04 eta: 19:19:23 time: 0.7968 data_time: 0.0287 memory: 27786 loss: 0.0955 loss_text: 0.0621 loss_kernel: 0.0334 2022/11/01 17:41:03 - mmengine - INFO - Epoch(train) [108][30/63] lr: 1.0000e-04 eta: 19:17:39 time: 0.7825 data_time: 0.0216 memory: 27786 loss: 0.0890 loss_text: 0.0585 loss_kernel: 0.0305 2022/11/01 17:41:07 - mmengine - INFO - Epoch(train) [108][35/63] lr: 1.0000e-04 eta: 19:17:39 time: 0.7861 data_time: 0.0179 memory: 27786 loss: 0.0843 loss_text: 0.0548 loss_kernel: 0.0295 2022/11/01 17:41:11 - mmengine - INFO - Epoch(train) [108][40/63] lr: 1.0000e-04 eta: 19:15:56 time: 0.8052 data_time: 0.0239 memory: 27786 loss: 0.0900 loss_text: 0.0593 loss_kernel: 0.0308 2022/11/01 17:41:15 - mmengine - INFO - Epoch(train) [108][45/63] lr: 1.0000e-04 eta: 19:15:56 time: 0.8224 data_time: 0.0244 memory: 27786 loss: 0.0967 loss_text: 0.0633 loss_kernel: 0.0334 2022/11/01 17:41:19 - mmengine - INFO - Epoch(train) [108][50/63] lr: 1.0000e-04 eta: 19:14:14 time: 0.8186 data_time: 0.0270 memory: 27786 loss: 0.0931 loss_text: 0.0596 loss_kernel: 0.0335 2022/11/01 17:41:23 - mmengine - INFO - Epoch(train) [108][55/63] lr: 1.0000e-04 eta: 19:14:14 time: 0.7929 data_time: 0.0212 memory: 27786 loss: 0.0841 loss_text: 0.0535 loss_kernel: 0.0306 2022/11/01 17:41:27 - mmengine - INFO - Epoch(train) [108][60/63] lr: 1.0000e-04 eta: 19:12:30 time: 0.7834 data_time: 0.0161 memory: 27786 loss: 0.0807 loss_text: 0.0513 loss_kernel: 0.0294 2022/11/01 17:41:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:43:09 - mmengine - INFO - Epoch(train) [109][5/63] lr: 1.0000e-04 eta: 19:12:30 time: 10.3223 data_time: 9.5876 memory: 27786 loss: 0.0726 loss_text: 0.0448 loss_kernel: 0.0278 2022/11/01 17:43:13 - mmengine - INFO - Epoch(train) [109][10/63] lr: 1.0000e-04 eta: 19:18:58 time: 10.3691 data_time: 9.6034 memory: 27786 loss: 0.0782 loss_text: 0.0498 loss_kernel: 0.0284 2022/11/01 17:43:17 - mmengine - INFO - Epoch(train) [109][15/63] lr: 1.0000e-04 eta: 19:18:58 time: 0.8012 data_time: 0.0284 memory: 27786 loss: 0.0813 loss_text: 0.0513 loss_kernel: 0.0300 2022/11/01 17:43:21 - mmengine - INFO - Epoch(train) [109][20/63] lr: 1.0000e-04 eta: 19:17:16 time: 0.8038 data_time: 0.0235 memory: 27786 loss: 0.0792 loss_text: 0.0497 loss_kernel: 0.0295 2022/11/01 17:43:25 - mmengine - INFO - Epoch(train) [109][25/63] lr: 1.0000e-04 eta: 19:17:16 time: 0.7996 data_time: 0.0237 memory: 27786 loss: 0.0849 loss_text: 0.0538 loss_kernel: 0.0312 2022/11/01 17:43:29 - mmengine - INFO - Epoch(train) [109][30/63] lr: 1.0000e-04 eta: 19:15:33 time: 0.8010 data_time: 0.0188 memory: 27786 loss: 0.0847 loss_text: 0.0547 loss_kernel: 0.0300 2022/11/01 17:43:33 - mmengine - INFO - Epoch(train) [109][35/63] lr: 1.0000e-04 eta: 19:15:33 time: 0.7999 data_time: 0.0254 memory: 27786 loss: 0.0831 loss_text: 0.0550 loss_kernel: 0.0281 2022/11/01 17:43:37 - mmengine - INFO - Epoch(train) [109][40/63] lr: 1.0000e-04 eta: 19:13:50 time: 0.7787 data_time: 0.0190 memory: 27786 loss: 0.0901 loss_text: 0.0587 loss_kernel: 0.0314 2022/11/01 17:43:41 - mmengine - INFO - Epoch(train) [109][45/63] lr: 1.0000e-04 eta: 19:13:50 time: 0.7717 data_time: 0.0162 memory: 27786 loss: 0.0856 loss_text: 0.0548 loss_kernel: 0.0308 2022/11/01 17:43:45 - mmengine - INFO - Epoch(train) [109][50/63] lr: 1.0000e-04 eta: 19:12:07 time: 0.7811 data_time: 0.0247 memory: 27786 loss: 0.0850 loss_text: 0.0560 loss_kernel: 0.0291 2022/11/01 17:43:48 - mmengine - INFO - Epoch(train) [109][55/63] lr: 1.0000e-04 eta: 19:12:07 time: 0.7774 data_time: 0.0180 memory: 27786 loss: 0.0900 loss_text: 0.0594 loss_kernel: 0.0306 2022/11/01 17:43:52 - mmengine - INFO - Epoch(train) [109][60/63] lr: 1.0000e-04 eta: 19:10:24 time: 0.7746 data_time: 0.0148 memory: 27786 loss: 0.0843 loss_text: 0.0535 loss_kernel: 0.0307 2022/11/01 17:43:54 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:45:36 - mmengine - INFO - Epoch(train) [110][5/63] lr: 1.0000e-04 eta: 19:10:24 time: 10.5461 data_time: 9.8144 memory: 27786 loss: 0.0752 loss_text: 0.0472 loss_kernel: 0.0281 2022/11/01 17:45:40 - mmengine - INFO - Epoch(train) [110][10/63] lr: 1.0000e-04 eta: 19:16:59 time: 10.5934 data_time: 9.8262 memory: 27786 loss: 0.0822 loss_text: 0.0529 loss_kernel: 0.0293 2022/11/01 17:45:44 - mmengine - INFO - Epoch(train) [110][15/63] lr: 1.0000e-04 eta: 19:16:59 time: 0.7873 data_time: 0.0216 memory: 27786 loss: 0.0803 loss_text: 0.0518 loss_kernel: 0.0285 2022/11/01 17:45:48 - mmengine - INFO - Epoch(train) [110][20/63] lr: 1.0000e-04 eta: 19:15:17 time: 0.8019 data_time: 0.0284 memory: 27786 loss: 0.0801 loss_text: 0.0515 loss_kernel: 0.0286 2022/11/01 17:45:52 - mmengine - INFO - Epoch(train) [110][25/63] lr: 1.0000e-04 eta: 19:15:17 time: 0.8095 data_time: 0.0407 memory: 27786 loss: 0.0778 loss_text: 0.0500 loss_kernel: 0.0278 2022/11/01 17:45:56 - mmengine - INFO - Epoch(train) [110][30/63] lr: 1.0000e-04 eta: 19:13:34 time: 0.7850 data_time: 0.0182 memory: 27786 loss: 0.0814 loss_text: 0.0523 loss_kernel: 0.0291 2022/11/01 17:46:00 - mmengine - INFO - Epoch(train) [110][35/63] lr: 1.0000e-04 eta: 19:13:34 time: 0.8028 data_time: 0.0228 memory: 27786 loss: 0.0842 loss_text: 0.0544 loss_kernel: 0.0297 2022/11/01 17:46:04 - mmengine - INFO - Epoch(train) [110][40/63] lr: 1.0000e-04 eta: 19:11:54 time: 0.8049 data_time: 0.0259 memory: 27786 loss: 0.0848 loss_text: 0.0556 loss_kernel: 0.0292 2022/11/01 17:46:08 - mmengine - INFO - Epoch(train) [110][45/63] lr: 1.0000e-04 eta: 19:11:54 time: 0.7964 data_time: 0.0207 memory: 27786 loss: 0.0865 loss_text: 0.0563 loss_kernel: 0.0302 2022/11/01 17:46:12 - mmengine - INFO - Epoch(train) [110][50/63] lr: 1.0000e-04 eta: 19:10:13 time: 0.7971 data_time: 0.0279 memory: 27786 loss: 0.0915 loss_text: 0.0589 loss_kernel: 0.0325 2022/11/01 17:46:16 - mmengine - INFO - Epoch(train) [110][55/63] lr: 1.0000e-04 eta: 19:10:13 time: 0.7743 data_time: 0.0221 memory: 27786 loss: 0.1027 loss_text: 0.0669 loss_kernel: 0.0358 2022/11/01 17:46:20 - mmengine - INFO - Epoch(train) [110][60/63] lr: 1.0000e-04 eta: 19:08:30 time: 0.7640 data_time: 0.0169 memory: 27786 loss: 0.1052 loss_text: 0.0690 loss_kernel: 0.0362 2022/11/01 17:46:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:48:01 - mmengine - INFO - Epoch(train) [111][5/63] lr: 1.0000e-04 eta: 19:08:30 time: 10.2676 data_time: 9.5378 memory: 27786 loss: 0.0945 loss_text: 0.0608 loss_kernel: 0.0337 2022/11/01 17:48:05 - mmengine - INFO - Epoch(train) [111][10/63] lr: 1.0000e-04 eta: 19:14:45 time: 10.3328 data_time: 9.5454 memory: 27786 loss: 0.0978 loss_text: 0.0632 loss_kernel: 0.0346 2022/11/01 17:48:09 - mmengine - INFO - Epoch(train) [111][15/63] lr: 1.0000e-04 eta: 19:14:45 time: 0.8159 data_time: 0.0293 memory: 27786 loss: 0.0909 loss_text: 0.0580 loss_kernel: 0.0330 2022/11/01 17:48:13 - mmengine - INFO - Epoch(train) [111][20/63] lr: 1.0000e-04 eta: 19:13:04 time: 0.8060 data_time: 0.0286 memory: 27786 loss: 0.0812 loss_text: 0.0495 loss_kernel: 0.0316 2022/11/01 17:48:17 - mmengine - INFO - Epoch(train) [111][25/63] lr: 1.0000e-04 eta: 19:13:04 time: 0.8020 data_time: 0.0255 memory: 27786 loss: 0.0829 loss_text: 0.0531 loss_kernel: 0.0298 2022/11/01 17:48:21 - mmengine - INFO - Epoch(train) [111][30/63] lr: 1.0000e-04 eta: 19:11:24 time: 0.7951 data_time: 0.0266 memory: 27786 loss: 0.0922 loss_text: 0.0615 loss_kernel: 0.0307 2022/11/01 17:48:25 - mmengine - INFO - Epoch(train) [111][35/63] lr: 1.0000e-04 eta: 19:11:24 time: 0.7927 data_time: 0.0227 memory: 27786 loss: 0.0946 loss_text: 0.0629 loss_kernel: 0.0317 2022/11/01 17:48:29 - mmengine - INFO - Epoch(train) [111][40/63] lr: 1.0000e-04 eta: 19:09:43 time: 0.7940 data_time: 0.0211 memory: 27786 loss: 0.0993 loss_text: 0.0661 loss_kernel: 0.0332 2022/11/01 17:48:33 - mmengine - INFO - Epoch(train) [111][45/63] lr: 1.0000e-04 eta: 19:09:43 time: 0.7943 data_time: 0.0281 memory: 27786 loss: 0.0975 loss_text: 0.0629 loss_kernel: 0.0346 2022/11/01 17:48:37 - mmengine - INFO - Epoch(train) [111][50/63] lr: 1.0000e-04 eta: 19:08:03 time: 0.7959 data_time: 0.0282 memory: 27786 loss: 0.0963 loss_text: 0.0620 loss_kernel: 0.0343 2022/11/01 17:48:41 - mmengine - INFO - Epoch(train) [111][55/63] lr: 1.0000e-04 eta: 19:08:03 time: 0.7975 data_time: 0.0265 memory: 27786 loss: 0.0913 loss_text: 0.0588 loss_kernel: 0.0324 2022/11/01 17:48:45 - mmengine - INFO - Epoch(train) [111][60/63] lr: 1.0000e-04 eta: 19:06:23 time: 0.7840 data_time: 0.0213 memory: 27786 loss: 0.0851 loss_text: 0.0551 loss_kernel: 0.0299 2022/11/01 17:48:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:50:28 - mmengine - INFO - Epoch(train) [112][5/63] lr: 1.0000e-04 eta: 19:06:23 time: 10.4080 data_time: 9.6578 memory: 27786 loss: 0.0834 loss_text: 0.0537 loss_kernel: 0.0298 2022/11/01 17:50:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:50:31 - mmengine - INFO - Epoch(train) [112][10/63] lr: 1.0000e-04 eta: 19:12:38 time: 10.4332 data_time: 9.6517 memory: 27786 loss: 0.0852 loss_text: 0.0541 loss_kernel: 0.0311 2022/11/01 17:50:35 - mmengine - INFO - Epoch(train) [112][15/63] lr: 1.0000e-04 eta: 19:12:38 time: 0.7884 data_time: 0.0237 memory: 27786 loss: 0.0943 loss_text: 0.0615 loss_kernel: 0.0328 2022/11/01 17:50:39 - mmengine - INFO - Epoch(train) [112][20/63] lr: 1.0000e-04 eta: 19:10:58 time: 0.8118 data_time: 0.0356 memory: 27786 loss: 0.0966 loss_text: 0.0639 loss_kernel: 0.0327 2022/11/01 17:50:43 - mmengine - INFO - Epoch(train) [112][25/63] lr: 1.0000e-04 eta: 19:10:58 time: 0.7931 data_time: 0.0203 memory: 27786 loss: 0.0886 loss_text: 0.0569 loss_kernel: 0.0317 2022/11/01 17:50:47 - mmengine - INFO - Epoch(train) [112][30/63] lr: 1.0000e-04 eta: 19:09:18 time: 0.7864 data_time: 0.0192 memory: 27786 loss: 0.0882 loss_text: 0.0576 loss_kernel: 0.0306 2022/11/01 17:50:51 - mmengine - INFO - Epoch(train) [112][35/63] lr: 1.0000e-04 eta: 19:09:18 time: 0.7925 data_time: 0.0209 memory: 27786 loss: 0.1080 loss_text: 0.0723 loss_kernel: 0.0357 2022/11/01 17:50:55 - mmengine - INFO - Epoch(train) [112][40/63] lr: 1.0000e-04 eta: 19:07:38 time: 0.7845 data_time: 0.0180 memory: 27786 loss: 0.0982 loss_text: 0.0644 loss_kernel: 0.0338 2022/11/01 17:50:59 - mmengine - INFO - Epoch(train) [112][45/63] lr: 1.0000e-04 eta: 19:07:38 time: 0.7873 data_time: 0.0282 memory: 27786 loss: 0.0839 loss_text: 0.0540 loss_kernel: 0.0299 2022/11/01 17:51:03 - mmengine - INFO - Epoch(train) [112][50/63] lr: 1.0000e-04 eta: 19:05:58 time: 0.7839 data_time: 0.0213 memory: 27786 loss: 0.0886 loss_text: 0.0572 loss_kernel: 0.0314 2022/11/01 17:51:07 - mmengine - INFO - Epoch(train) [112][55/63] lr: 1.0000e-04 eta: 19:05:58 time: 0.7893 data_time: 0.0196 memory: 27786 loss: 0.0849 loss_text: 0.0543 loss_kernel: 0.0306 2022/11/01 17:51:11 - mmengine - INFO - Epoch(train) [112][60/63] lr: 1.0000e-04 eta: 19:04:20 time: 0.7958 data_time: 0.0253 memory: 27786 loss: 0.0981 loss_text: 0.0637 loss_kernel: 0.0344 2022/11/01 17:51:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:52:52 - mmengine - INFO - Epoch(train) [113][5/63] lr: 1.0000e-04 eta: 19:04:20 time: 10.2887 data_time: 9.5572 memory: 27786 loss: 0.1132 loss_text: 0.0755 loss_kernel: 0.0377 2022/11/01 17:52:57 - mmengine - INFO - Epoch(train) [113][10/63] lr: 1.0000e-04 eta: 19:10:25 time: 10.3491 data_time: 9.5698 memory: 27786 loss: 0.0981 loss_text: 0.0647 loss_kernel: 0.0335 2022/11/01 17:53:00 - mmengine - INFO - Epoch(train) [113][15/63] lr: 1.0000e-04 eta: 19:10:25 time: 0.7978 data_time: 0.0256 memory: 27786 loss: 0.0871 loss_text: 0.0556 loss_kernel: 0.0314 2022/11/01 17:53:05 - mmengine - INFO - Epoch(train) [113][20/63] lr: 1.0000e-04 eta: 19:08:46 time: 0.8012 data_time: 0.0280 memory: 27786 loss: 0.0879 loss_text: 0.0563 loss_kernel: 0.0317 2022/11/01 17:53:09 - mmengine - INFO - Epoch(train) [113][25/63] lr: 1.0000e-04 eta: 19:08:46 time: 0.8148 data_time: 0.0452 memory: 27786 loss: 0.0829 loss_text: 0.0529 loss_kernel: 0.0300 2022/11/01 17:53:12 - mmengine - INFO - Epoch(train) [113][30/63] lr: 1.0000e-04 eta: 19:07:07 time: 0.7889 data_time: 0.0249 memory: 27786 loss: 0.0880 loss_text: 0.0574 loss_kernel: 0.0306 2022/11/01 17:53:17 - mmengine - INFO - Epoch(train) [113][35/63] lr: 1.0000e-04 eta: 19:07:07 time: 0.8024 data_time: 0.0172 memory: 27786 loss: 0.0970 loss_text: 0.0639 loss_kernel: 0.0331 2022/11/01 17:53:21 - mmengine - INFO - Epoch(train) [113][40/63] lr: 1.0000e-04 eta: 19:05:29 time: 0.8125 data_time: 0.0210 memory: 27786 loss: 0.1048 loss_text: 0.0694 loss_kernel: 0.0353 2022/11/01 17:53:25 - mmengine - INFO - Epoch(train) [113][45/63] lr: 1.0000e-04 eta: 19:05:29 time: 0.7991 data_time: 0.0217 memory: 27786 loss: 0.0995 loss_text: 0.0663 loss_kernel: 0.0332 2022/11/01 17:53:29 - mmengine - INFO - Epoch(train) [113][50/63] lr: 1.0000e-04 eta: 19:03:51 time: 0.7935 data_time: 0.0289 memory: 27786 loss: 0.0889 loss_text: 0.0584 loss_kernel: 0.0306 2022/11/01 17:53:32 - mmengine - INFO - Epoch(train) [113][55/63] lr: 1.0000e-04 eta: 19:03:51 time: 0.7842 data_time: 0.0216 memory: 27786 loss: 0.0887 loss_text: 0.0568 loss_kernel: 0.0319 2022/11/01 17:53:36 - mmengine - INFO - Epoch(train) [113][60/63] lr: 1.0000e-04 eta: 19:02:12 time: 0.7730 data_time: 0.0160 memory: 27786 loss: 0.0952 loss_text: 0.0615 loss_kernel: 0.0337 2022/11/01 17:53:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:55:18 - mmengine - INFO - Epoch(train) [114][5/63] lr: 1.0000e-04 eta: 19:02:12 time: 10.3380 data_time: 9.5909 memory: 27786 loss: 0.0830 loss_text: 0.0537 loss_kernel: 0.0293 2022/11/01 17:55:22 - mmengine - INFO - Epoch(train) [114][10/63] lr: 1.0000e-04 eta: 19:08:14 time: 10.3889 data_time: 9.6006 memory: 27786 loss: 0.0894 loss_text: 0.0579 loss_kernel: 0.0316 2022/11/01 17:55:26 - mmengine - INFO - Epoch(train) [114][15/63] lr: 1.0000e-04 eta: 19:08:14 time: 0.8016 data_time: 0.0259 memory: 27786 loss: 0.0897 loss_text: 0.0571 loss_kernel: 0.0326 2022/11/01 17:55:30 - mmengine - INFO - Epoch(train) [114][20/63] lr: 1.0000e-04 eta: 19:06:37 time: 0.8164 data_time: 0.0291 memory: 27786 loss: 0.0852 loss_text: 0.0540 loss_kernel: 0.0312 2022/11/01 17:55:34 - mmengine - INFO - Epoch(train) [114][25/63] lr: 1.0000e-04 eta: 19:06:37 time: 0.8165 data_time: 0.0250 memory: 27786 loss: 0.0884 loss_text: 0.0577 loss_kernel: 0.0307 2022/11/01 17:55:38 - mmengine - INFO - Epoch(train) [114][30/63] lr: 1.0000e-04 eta: 19:05:00 time: 0.8023 data_time: 0.0214 memory: 27786 loss: 0.0873 loss_text: 0.0560 loss_kernel: 0.0313 2022/11/01 17:55:42 - mmengine - INFO - Epoch(train) [114][35/63] lr: 1.0000e-04 eta: 19:05:00 time: 0.8045 data_time: 0.0305 memory: 27786 loss: 0.0910 loss_text: 0.0594 loss_kernel: 0.0316 2022/11/01 17:55:46 - mmengine - INFO - Epoch(train) [114][40/63] lr: 1.0000e-04 eta: 19:03:22 time: 0.7929 data_time: 0.0214 memory: 27786 loss: 0.0925 loss_text: 0.0615 loss_kernel: 0.0310 2022/11/01 17:55:50 - mmengine - INFO - Epoch(train) [114][45/63] lr: 1.0000e-04 eta: 19:03:22 time: 0.7868 data_time: 0.0246 memory: 27786 loss: 0.0844 loss_text: 0.0547 loss_kernel: 0.0297 2022/11/01 17:55:54 - mmengine - INFO - Epoch(train) [114][50/63] lr: 1.0000e-04 eta: 19:01:45 time: 0.7924 data_time: 0.0306 memory: 27786 loss: 0.0826 loss_text: 0.0529 loss_kernel: 0.0298 2022/11/01 17:55:58 - mmengine - INFO - Epoch(train) [114][55/63] lr: 1.0000e-04 eta: 19:01:45 time: 0.7918 data_time: 0.0214 memory: 27786 loss: 0.0833 loss_text: 0.0538 loss_kernel: 0.0296 2022/11/01 17:56:02 - mmengine - INFO - Epoch(train) [114][60/63] lr: 1.0000e-04 eta: 19:00:08 time: 0.7941 data_time: 0.0177 memory: 27786 loss: 0.0769 loss_text: 0.0492 loss_kernel: 0.0277 2022/11/01 17:56:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 17:57:44 - mmengine - INFO - Epoch(train) [115][5/63] lr: 1.0000e-04 eta: 19:00:08 time: 10.3306 data_time: 9.5913 memory: 27786 loss: 0.0876 loss_text: 0.0574 loss_kernel: 0.0302 2022/11/01 17:57:48 - mmengine - INFO - Epoch(train) [115][10/63] lr: 1.0000e-04 eta: 19:06:05 time: 10.3853 data_time: 9.5981 memory: 27786 loss: 0.1006 loss_text: 0.0690 loss_kernel: 0.0316 2022/11/01 17:57:52 - mmengine - INFO - Epoch(train) [115][15/63] lr: 1.0000e-04 eta: 19:06:05 time: 0.7937 data_time: 0.0261 memory: 27786 loss: 0.1032 loss_text: 0.0694 loss_kernel: 0.0338 2022/11/01 17:57:56 - mmengine - INFO - Epoch(train) [115][20/63] lr: 1.0000e-04 eta: 19:04:27 time: 0.7890 data_time: 0.0230 memory: 27786 loss: 0.0960 loss_text: 0.0624 loss_kernel: 0.0336 2022/11/01 17:58:00 - mmengine - INFO - Epoch(train) [115][25/63] lr: 1.0000e-04 eta: 19:04:27 time: 0.7983 data_time: 0.0237 memory: 27786 loss: 0.0919 loss_text: 0.0599 loss_kernel: 0.0320 2022/11/01 17:58:04 - mmengine - INFO - Epoch(train) [115][30/63] lr: 1.0000e-04 eta: 19:02:50 time: 0.7964 data_time: 0.0266 memory: 27786 loss: 0.0991 loss_text: 0.0657 loss_kernel: 0.0333 2022/11/01 17:58:08 - mmengine - INFO - Epoch(train) [115][35/63] lr: 1.0000e-04 eta: 19:02:50 time: 0.7804 data_time: 0.0205 memory: 27786 loss: 0.0981 loss_text: 0.0652 loss_kernel: 0.0329 2022/11/01 17:58:12 - mmengine - INFO - Epoch(train) [115][40/63] lr: 1.0000e-04 eta: 19:01:13 time: 0.7892 data_time: 0.0285 memory: 27786 loss: 0.0965 loss_text: 0.0640 loss_kernel: 0.0325 2022/11/01 17:58:16 - mmengine - INFO - Epoch(train) [115][45/63] lr: 1.0000e-04 eta: 19:01:13 time: 0.7908 data_time: 0.0326 memory: 27786 loss: 0.0941 loss_text: 0.0618 loss_kernel: 0.0323 2022/11/01 17:58:20 - mmengine - INFO - Epoch(train) [115][50/63] lr: 1.0000e-04 eta: 18:59:36 time: 0.7699 data_time: 0.0240 memory: 27786 loss: 0.0977 loss_text: 0.0641 loss_kernel: 0.0336 2022/11/01 17:58:23 - mmengine - INFO - Epoch(train) [115][55/63] lr: 1.0000e-04 eta: 18:59:36 time: 0.7762 data_time: 0.0220 memory: 27786 loss: 0.0975 loss_text: 0.0647 loss_kernel: 0.0328 2022/11/01 17:58:27 - mmengine - INFO - Epoch(train) [115][60/63] lr: 1.0000e-04 eta: 18:57:59 time: 0.7795 data_time: 0.0196 memory: 27786 loss: 0.0928 loss_text: 0.0616 loss_kernel: 0.0313 2022/11/01 17:58:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:00:10 - mmengine - INFO - Epoch(train) [116][5/63] lr: 1.0000e-04 eta: 18:57:59 time: 10.4006 data_time: 9.6647 memory: 27786 loss: 0.0891 loss_text: 0.0574 loss_kernel: 0.0317 2022/11/01 18:00:14 - mmengine - INFO - Epoch(train) [116][10/63] lr: 1.0000e-04 eta: 19:03:55 time: 10.4592 data_time: 9.6669 memory: 27786 loss: 0.0782 loss_text: 0.0505 loss_kernel: 0.0278 2022/11/01 18:00:18 - mmengine - INFO - Epoch(train) [116][15/63] lr: 1.0000e-04 eta: 19:03:55 time: 0.8016 data_time: 0.0250 memory: 27786 loss: 0.0948 loss_text: 0.0624 loss_kernel: 0.0324 2022/11/01 18:00:22 - mmengine - INFO - Epoch(train) [116][20/63] lr: 1.0000e-04 eta: 19:02:19 time: 0.7959 data_time: 0.0340 memory: 27786 loss: 0.1056 loss_text: 0.0687 loss_kernel: 0.0368 2022/11/01 18:00:26 - mmengine - INFO - Epoch(train) [116][25/63] lr: 1.0000e-04 eta: 19:02:19 time: 0.7843 data_time: 0.0263 memory: 27786 loss: 0.0901 loss_text: 0.0574 loss_kernel: 0.0327 2022/11/01 18:00:30 - mmengine - INFO - Epoch(train) [116][30/63] lr: 1.0000e-04 eta: 19:00:42 time: 0.7839 data_time: 0.0213 memory: 27786 loss: 0.0750 loss_text: 0.0469 loss_kernel: 0.0280 2022/11/01 18:00:34 - mmengine - INFO - Epoch(train) [116][35/63] lr: 1.0000e-04 eta: 19:00:42 time: 0.8044 data_time: 0.0282 memory: 27786 loss: 0.0840 loss_text: 0.0538 loss_kernel: 0.0302 2022/11/01 18:00:38 - mmengine - INFO - Epoch(train) [116][40/63] lr: 1.0000e-04 eta: 18:59:07 time: 0.8054 data_time: 0.0180 memory: 27786 loss: 0.0924 loss_text: 0.0604 loss_kernel: 0.0320 2022/11/01 18:00:42 - mmengine - INFO - Epoch(train) [116][45/63] lr: 1.0000e-04 eta: 18:59:07 time: 0.8110 data_time: 0.0200 memory: 27786 loss: 0.0831 loss_text: 0.0528 loss_kernel: 0.0303 2022/11/01 18:00:46 - mmengine - INFO - Epoch(train) [116][50/63] lr: 1.0000e-04 eta: 18:57:32 time: 0.8020 data_time: 0.0259 memory: 27786 loss: 0.0768 loss_text: 0.0475 loss_kernel: 0.0293 2022/11/01 18:00:50 - mmengine - INFO - Epoch(train) [116][55/63] lr: 1.0000e-04 eta: 18:57:32 time: 0.7776 data_time: 0.0194 memory: 27786 loss: 0.0787 loss_text: 0.0499 loss_kernel: 0.0288 2022/11/01 18:00:54 - mmengine - INFO - Epoch(train) [116][60/63] lr: 1.0000e-04 eta: 18:55:56 time: 0.7838 data_time: 0.0196 memory: 27786 loss: 0.0826 loss_text: 0.0532 loss_kernel: 0.0294 2022/11/01 18:00:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:02:35 - mmengine - INFO - Epoch(train) [117][5/63] lr: 1.0000e-04 eta: 18:55:56 time: 10.3041 data_time: 9.5570 memory: 27786 loss: 0.0813 loss_text: 0.0508 loss_kernel: 0.0306 2022/11/01 18:02:39 - mmengine - INFO - Epoch(train) [117][10/63] lr: 1.0000e-04 eta: 19:01:41 time: 10.3421 data_time: 9.5612 memory: 27786 loss: 0.0864 loss_text: 0.0548 loss_kernel: 0.0316 2022/11/01 18:02:43 - mmengine - INFO - Epoch(train) [117][15/63] lr: 1.0000e-04 eta: 19:01:41 time: 0.7923 data_time: 0.0269 memory: 27786 loss: 0.0879 loss_text: 0.0567 loss_kernel: 0.0312 2022/11/01 18:02:47 - mmengine - INFO - Epoch(train) [117][20/63] lr: 1.0000e-04 eta: 19:00:07 time: 0.8118 data_time: 0.0341 memory: 27786 loss: 0.0882 loss_text: 0.0559 loss_kernel: 0.0323 2022/11/01 18:02:51 - mmengine - INFO - Epoch(train) [117][25/63] lr: 1.0000e-04 eta: 19:00:07 time: 0.8123 data_time: 0.0298 memory: 27786 loss: 0.0877 loss_text: 0.0560 loss_kernel: 0.0318 2022/11/01 18:02:55 - mmengine - INFO - Epoch(train) [117][30/63] lr: 1.0000e-04 eta: 18:58:32 time: 0.7962 data_time: 0.0220 memory: 27786 loss: 0.0763 loss_text: 0.0487 loss_kernel: 0.0277 2022/11/01 18:02:59 - mmengine - INFO - Epoch(train) [117][35/63] lr: 1.0000e-04 eta: 18:58:32 time: 0.8041 data_time: 0.0254 memory: 27786 loss: 0.0720 loss_text: 0.0458 loss_kernel: 0.0263 2022/11/01 18:03:03 - mmengine - INFO - Epoch(train) [117][40/63] lr: 1.0000e-04 eta: 18:56:57 time: 0.7938 data_time: 0.0211 memory: 27786 loss: 0.0716 loss_text: 0.0451 loss_kernel: 0.0265 2022/11/01 18:03:07 - mmengine - INFO - Epoch(train) [117][45/63] lr: 1.0000e-04 eta: 18:56:57 time: 0.7866 data_time: 0.0184 memory: 27786 loss: 0.0739 loss_text: 0.0459 loss_kernel: 0.0280 2022/11/01 18:03:11 - mmengine - INFO - Epoch(train) [117][50/63] lr: 1.0000e-04 eta: 18:55:22 time: 0.7918 data_time: 0.0233 memory: 27786 loss: 0.0786 loss_text: 0.0510 loss_kernel: 0.0276 2022/11/01 18:03:15 - mmengine - INFO - Epoch(train) [117][55/63] lr: 1.0000e-04 eta: 18:55:22 time: 0.7807 data_time: 0.0220 memory: 27786 loss: 0.0809 loss_text: 0.0527 loss_kernel: 0.0283 2022/11/01 18:03:19 - mmengine - INFO - Epoch(train) [117][60/63] lr: 1.0000e-04 eta: 18:53:47 time: 0.7746 data_time: 0.0207 memory: 27786 loss: 0.0779 loss_text: 0.0491 loss_kernel: 0.0288 2022/11/01 18:03:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:05:01 - mmengine - INFO - Epoch(train) [118][5/63] lr: 1.0000e-04 eta: 18:53:47 time: 10.3541 data_time: 9.6155 memory: 27786 loss: 0.0823 loss_text: 0.0521 loss_kernel: 0.0302 2022/11/01 18:05:05 - mmengine - INFO - Epoch(train) [118][10/63] lr: 1.0000e-04 eta: 18:59:31 time: 10.4225 data_time: 9.6464 memory: 27786 loss: 0.0782 loss_text: 0.0487 loss_kernel: 0.0295 2022/11/01 18:05:09 - mmengine - INFO - Epoch(train) [118][15/63] lr: 1.0000e-04 eta: 18:59:31 time: 0.8132 data_time: 0.0400 memory: 27786 loss: 0.0719 loss_text: 0.0434 loss_kernel: 0.0285 2022/11/01 18:05:13 - mmengine - INFO - Epoch(train) [118][20/63] lr: 1.0000e-04 eta: 18:57:56 time: 0.7904 data_time: 0.0255 memory: 27786 loss: 0.0752 loss_text: 0.0472 loss_kernel: 0.0280 2022/11/01 18:05:17 - mmengine - INFO - Epoch(train) [118][25/63] lr: 1.0000e-04 eta: 18:57:56 time: 0.7817 data_time: 0.0320 memory: 27786 loss: 0.0798 loss_text: 0.0513 loss_kernel: 0.0285 2022/11/01 18:05:21 - mmengine - INFO - Epoch(train) [118][30/63] lr: 1.0000e-04 eta: 18:56:21 time: 0.7742 data_time: 0.0225 memory: 27786 loss: 0.0778 loss_text: 0.0490 loss_kernel: 0.0287 2022/11/01 18:05:25 - mmengine - INFO - Epoch(train) [118][35/63] lr: 1.0000e-04 eta: 18:56:21 time: 0.7924 data_time: 0.0296 memory: 27786 loss: 0.0770 loss_text: 0.0485 loss_kernel: 0.0286 2022/11/01 18:05:29 - mmengine - INFO - Epoch(train) [118][40/63] lr: 1.0000e-04 eta: 18:54:46 time: 0.7770 data_time: 0.0201 memory: 27786 loss: 0.0749 loss_text: 0.0475 loss_kernel: 0.0274 2022/11/01 18:05:32 - mmengine - INFO - Epoch(train) [118][45/63] lr: 1.0000e-04 eta: 18:54:46 time: 0.7689 data_time: 0.0192 memory: 27786 loss: 0.0781 loss_text: 0.0493 loss_kernel: 0.0288 2022/11/01 18:05:36 - mmengine - INFO - Epoch(train) [118][50/63] lr: 1.0000e-04 eta: 18:53:12 time: 0.7849 data_time: 0.0326 memory: 27786 loss: 0.0800 loss_text: 0.0498 loss_kernel: 0.0302 2022/11/01 18:05:40 - mmengine - INFO - Epoch(train) [118][55/63] lr: 1.0000e-04 eta: 18:53:12 time: 0.7727 data_time: 0.0200 memory: 27786 loss: 0.0700 loss_text: 0.0428 loss_kernel: 0.0273 2022/11/01 18:05:44 - mmengine - INFO - Epoch(train) [118][60/63] lr: 1.0000e-04 eta: 18:51:38 time: 0.7721 data_time: 0.0161 memory: 27786 loss: 0.0941 loss_text: 0.0597 loss_kernel: 0.0344 2022/11/01 18:05:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:07:26 - mmengine - INFO - Epoch(train) [119][5/63] lr: 1.0000e-04 eta: 18:51:38 time: 10.3821 data_time: 9.6363 memory: 27786 loss: 0.0850 loss_text: 0.0538 loss_kernel: 0.0312 2022/11/01 18:07:31 - mmengine - INFO - Epoch(train) [119][10/63] lr: 1.0000e-04 eta: 18:57:20 time: 10.4665 data_time: 9.6659 memory: 27786 loss: 0.0740 loss_text: 0.0457 loss_kernel: 0.0283 2022/11/01 18:07:35 - mmengine - INFO - Epoch(train) [119][15/63] lr: 1.0000e-04 eta: 18:57:20 time: 0.8221 data_time: 0.0347 memory: 27786 loss: 0.0749 loss_text: 0.0472 loss_kernel: 0.0277 2022/11/01 18:07:39 - mmengine - INFO - Epoch(train) [119][20/63] lr: 1.0000e-04 eta: 18:55:46 time: 0.7940 data_time: 0.0168 memory: 27786 loss: 0.0860 loss_text: 0.0549 loss_kernel: 0.0311 2022/11/01 18:07:43 - mmengine - INFO - Epoch(train) [119][25/63] lr: 1.0000e-04 eta: 18:55:46 time: 0.8042 data_time: 0.0311 memory: 27786 loss: 0.0913 loss_text: 0.0580 loss_kernel: 0.0333 2022/11/01 18:07:47 - mmengine - INFO - Epoch(train) [119][30/63] lr: 1.0000e-04 eta: 18:54:13 time: 0.7957 data_time: 0.0238 memory: 27786 loss: 0.0758 loss_text: 0.0482 loss_kernel: 0.0276 2022/11/01 18:07:51 - mmengine - INFO - Epoch(train) [119][35/63] lr: 1.0000e-04 eta: 18:54:13 time: 0.7886 data_time: 0.0206 memory: 27786 loss: 0.0700 loss_text: 0.0444 loss_kernel: 0.0256 2022/11/01 18:07:55 - mmengine - INFO - Epoch(train) [119][40/63] lr: 1.0000e-04 eta: 18:52:39 time: 0.7916 data_time: 0.0211 memory: 27786 loss: 0.0762 loss_text: 0.0487 loss_kernel: 0.0275 2022/11/01 18:07:59 - mmengine - INFO - Epoch(train) [119][45/63] lr: 1.0000e-04 eta: 18:52:39 time: 0.7940 data_time: 0.0228 memory: 27786 loss: 0.0745 loss_text: 0.0466 loss_kernel: 0.0280 2022/11/01 18:08:02 - mmengine - INFO - Epoch(train) [119][50/63] lr: 1.0000e-04 eta: 18:51:06 time: 0.7928 data_time: 0.0314 memory: 27786 loss: 0.0799 loss_text: 0.0493 loss_kernel: 0.0306 2022/11/01 18:08:06 - mmengine - INFO - Epoch(train) [119][55/63] lr: 1.0000e-04 eta: 18:51:06 time: 0.7739 data_time: 0.0218 memory: 27786 loss: 0.0834 loss_text: 0.0530 loss_kernel: 0.0304 2022/11/01 18:08:10 - mmengine - INFO - Epoch(train) [119][60/63] lr: 1.0000e-04 eta: 18:49:32 time: 0.7628 data_time: 0.0158 memory: 27786 loss: 0.0767 loss_text: 0.0495 loss_kernel: 0.0271 2022/11/01 18:08:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:09:52 - mmengine - INFO - Epoch(train) [120][5/63] lr: 1.0000e-04 eta: 18:49:32 time: 10.2762 data_time: 9.5517 memory: 27786 loss: 0.0946 loss_text: 0.0612 loss_kernel: 0.0333 2022/11/01 18:09:56 - mmengine - INFO - Epoch(train) [120][10/63] lr: 1.0000e-04 eta: 18:55:04 time: 10.3603 data_time: 9.5797 memory: 27786 loss: 0.0897 loss_text: 0.0575 loss_kernel: 0.0322 2022/11/01 18:10:00 - mmengine - INFO - Epoch(train) [120][15/63] lr: 1.0000e-04 eta: 18:55:04 time: 0.8255 data_time: 0.0406 memory: 27786 loss: 0.0707 loss_text: 0.0441 loss_kernel: 0.0266 2022/11/01 18:10:04 - mmengine - INFO - Epoch(train) [120][20/63] lr: 1.0000e-04 eta: 18:53:32 time: 0.8071 data_time: 0.0176 memory: 27786 loss: 0.0715 loss_text: 0.0457 loss_kernel: 0.0258 2022/11/01 18:10:08 - mmengine - INFO - Epoch(train) [120][25/63] lr: 1.0000e-04 eta: 18:53:32 time: 0.8362 data_time: 0.0449 memory: 27786 loss: 0.0694 loss_text: 0.0441 loss_kernel: 0.0253 2022/11/01 18:10:12 - mmengine - INFO - Epoch(train) [120][30/63] lr: 1.0000e-04 eta: 18:52:01 time: 0.8231 data_time: 0.0375 memory: 27786 loss: 0.0783 loss_text: 0.0493 loss_kernel: 0.0290 2022/11/01 18:10:16 - mmengine - INFO - Epoch(train) [120][35/63] lr: 1.0000e-04 eta: 18:52:01 time: 0.7865 data_time: 0.0199 memory: 27786 loss: 0.0857 loss_text: 0.0549 loss_kernel: 0.0308 2022/11/01 18:10:20 - mmengine - INFO - Epoch(train) [120][40/63] lr: 1.0000e-04 eta: 18:50:29 time: 0.8001 data_time: 0.0226 memory: 27786 loss: 0.0777 loss_text: 0.0508 loss_kernel: 0.0269 2022/11/01 18:10:24 - mmengine - INFO - Epoch(train) [120][45/63] lr: 1.0000e-04 eta: 18:50:29 time: 0.8173 data_time: 0.0258 memory: 27786 loss: 0.0756 loss_text: 0.0491 loss_kernel: 0.0265 2022/11/01 18:10:28 - mmengine - INFO - Epoch(train) [120][50/63] lr: 1.0000e-04 eta: 18:48:58 time: 0.8085 data_time: 0.0345 memory: 27786 loss: 0.0750 loss_text: 0.0463 loss_kernel: 0.0287 2022/11/01 18:10:32 - mmengine - INFO - Epoch(train) [120][55/63] lr: 1.0000e-04 eta: 18:48:58 time: 0.7925 data_time: 0.0232 memory: 27786 loss: 0.0808 loss_text: 0.0504 loss_kernel: 0.0303 2022/11/01 18:10:36 - mmengine - INFO - Epoch(train) [120][60/63] lr: 1.0000e-04 eta: 18:47:25 time: 0.7781 data_time: 0.0159 memory: 27786 loss: 0.0861 loss_text: 0.0550 loss_kernel: 0.0311 2022/11/01 18:10:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:10:38 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/11/01 18:11:15 - mmengine - INFO - Epoch(val) [120][5/500] eta: 18:47:25 time: 3.1916 data_time: 3.1439 memory: 27786 2022/11/01 18:11:15 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:26:09 time: 3.2020 data_time: 3.1439 memory: 2082 2022/11/01 18:11:15 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:26:09 time: 0.0580 data_time: 0.0021 memory: 2007 2022/11/01 18:11:16 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:00:24 time: 0.0500 data_time: 0.0021 memory: 1705 2022/11/01 18:11:16 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:00:24 time: 0.0409 data_time: 0.0019 memory: 1705 2022/11/01 18:11:16 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:00:18 time: 0.0401 data_time: 0.0019 memory: 1705 2022/11/01 18:11:16 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:00:18 time: 0.0452 data_time: 0.0021 memory: 1705 2022/11/01 18:11:16 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:20 time: 0.0450 data_time: 0.0020 memory: 1743 2022/11/01 18:11:17 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:20 time: 0.0415 data_time: 0.0019 memory: 2082 2022/11/01 18:11:17 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:19 time: 0.0431 data_time: 0.0021 memory: 1818 2022/11/01 18:11:17 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:19 time: 0.0423 data_time: 0.0021 memory: 1781 2022/11/01 18:11:17 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:00:19 time: 0.0444 data_time: 0.0020 memory: 1705 2022/11/01 18:11:18 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:00:19 time: 0.0499 data_time: 0.0021 memory: 1818 2022/11/01 18:11:18 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:00:20 time: 0.0483 data_time: 0.0021 memory: 2082 2022/11/01 18:11:18 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:00:20 time: 0.0488 data_time: 0.0021 memory: 1818 2022/11/01 18:11:18 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:00:19 time: 0.0457 data_time: 0.0021 memory: 1705 2022/11/01 18:11:18 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:00:19 time: 0.0420 data_time: 0.0021 memory: 1705 2022/11/01 18:11:19 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:00:19 time: 0.0470 data_time: 0.0021 memory: 2082 2022/11/01 18:11:19 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:00:19 time: 0.0437 data_time: 0.0021 memory: 1743 2022/11/01 18:11:19 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:00:15 time: 0.0395 data_time: 0.0020 memory: 2082 2022/11/01 18:11:19 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:00:15 time: 0.0441 data_time: 0.0020 memory: 1705 2022/11/01 18:11:20 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:00:17 time: 0.0449 data_time: 0.0020 memory: 2082 2022/11/01 18:11:20 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:00:17 time: 0.0431 data_time: 0.0020 memory: 1705 2022/11/01 18:11:20 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:19 time: 0.0517 data_time: 0.0021 memory: 1705 2022/11/01 18:11:20 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:19 time: 0.0628 data_time: 0.0022 memory: 2082 2022/11/01 18:11:21 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:00:18 time: 0.0508 data_time: 0.0020 memory: 1705 2022/11/01 18:11:21 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:00:18 time: 0.0467 data_time: 0.0020 memory: 1856 2022/11/01 18:11:21 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:18 time: 0.0507 data_time: 0.0020 memory: 1705 2022/11/01 18:11:21 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:18 time: 0.0411 data_time: 0.0019 memory: 2044 2022/11/01 18:11:21 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:13 time: 0.0399 data_time: 0.0020 memory: 1705 2022/11/01 18:11:22 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:13 time: 0.0439 data_time: 0.0021 memory: 1969 2022/11/01 18:11:22 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:15 time: 0.0469 data_time: 0.0021 memory: 2082 2022/11/01 18:11:22 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:15 time: 0.0467 data_time: 0.0021 memory: 1781 2022/11/01 18:11:22 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:16 time: 0.0495 data_time: 0.0022 memory: 1969 2022/11/01 18:11:23 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:16 time: 0.0477 data_time: 0.0023 memory: 2082 2022/11/01 18:11:23 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:15 time: 0.0491 data_time: 0.0073 memory: 2082 2022/11/01 18:11:23 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:15 time: 0.0473 data_time: 0.0073 memory: 1705 2022/11/01 18:11:23 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:14 time: 0.0458 data_time: 0.0024 memory: 1818 2022/11/01 18:11:24 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:14 time: 0.0609 data_time: 0.0188 memory: 1781 2022/11/01 18:11:24 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:00:16 time: 0.0543 data_time: 0.0186 memory: 1781 2022/11/01 18:11:24 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:00:16 time: 0.0388 data_time: 0.0019 memory: 1705 2022/11/01 18:11:24 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:00:11 time: 0.0413 data_time: 0.0019 memory: 2082 2022/11/01 18:11:25 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:00:11 time: 0.0425 data_time: 0.0021 memory: 1705 2022/11/01 18:11:25 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:11 time: 0.0397 data_time: 0.0020 memory: 1856 2022/11/01 18:11:25 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:11 time: 0.0403 data_time: 0.0019 memory: 2082 2022/11/01 18:11:25 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:14 time: 0.0538 data_time: 0.0021 memory: 1705 2022/11/01 18:11:26 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:14 time: 0.0579 data_time: 0.0021 memory: 2082 2022/11/01 18:11:26 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:13 time: 0.0535 data_time: 0.0022 memory: 2082 2022/11/01 18:11:26 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:13 time: 0.0508 data_time: 0.0024 memory: 2082 2022/11/01 18:11:26 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:10 time: 0.0430 data_time: 0.0023 memory: 1705 2022/11/01 18:11:27 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:10 time: 0.0658 data_time: 0.0023 memory: 1743 2022/11/01 18:11:27 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:15 time: 0.0638 data_time: 0.0022 memory: 1705 2022/11/01 18:11:27 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:15 time: 0.0402 data_time: 0.0020 memory: 2007 2022/11/01 18:11:27 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:10 time: 0.0453 data_time: 0.0020 memory: 1931 2022/11/01 18:11:28 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:10 time: 0.0578 data_time: 0.0107 memory: 2082 2022/11/01 18:11:28 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:11 time: 0.0538 data_time: 0.0108 memory: 2007 2022/11/01 18:11:28 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:11 time: 0.0424 data_time: 0.0022 memory: 1705 2022/11/01 18:11:28 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:00:09 time: 0.0471 data_time: 0.0022 memory: 2082 2022/11/01 18:11:29 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:00:09 time: 0.0482 data_time: 0.0024 memory: 1818 2022/11/01 18:11:29 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:09 time: 0.0470 data_time: 0.0023 memory: 1743 2022/11/01 18:11:29 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:09 time: 0.0446 data_time: 0.0068 memory: 1705 2022/11/01 18:11:29 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:08 time: 0.0464 data_time: 0.0067 memory: 1781 2022/11/01 18:11:30 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:08 time: 0.0495 data_time: 0.0020 memory: 2007 2022/11/01 18:11:30 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:08 time: 0.0492 data_time: 0.0021 memory: 2007 2022/11/01 18:11:30 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:08 time: 0.0479 data_time: 0.0019 memory: 2082 2022/11/01 18:11:30 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:07 time: 0.0462 data_time: 0.0022 memory: 1743 2022/11/01 18:11:30 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:07 time: 0.0468 data_time: 0.0024 memory: 1931 2022/11/01 18:11:31 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:07 time: 0.0455 data_time: 0.0021 memory: 2044 2022/11/01 18:11:31 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:07 time: 0.0405 data_time: 0.0020 memory: 1931 2022/11/01 18:11:31 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:06 time: 0.0410 data_time: 0.0019 memory: 1705 2022/11/01 18:11:31 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:06 time: 0.0560 data_time: 0.0020 memory: 2044 2022/11/01 18:11:32 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:07 time: 0.0525 data_time: 0.0020 memory: 1743 2022/11/01 18:11:32 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:07 time: 0.0398 data_time: 0.0018 memory: 1592 2022/11/01 18:11:32 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:05 time: 0.0400 data_time: 0.0018 memory: 1818 2022/11/01 18:11:32 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:05 time: 0.0383 data_time: 0.0020 memory: 1705 2022/11/01 18:11:32 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:05 time: 0.0419 data_time: 0.0021 memory: 2044 2022/11/01 18:11:33 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:05 time: 0.0439 data_time: 0.0021 memory: 2044 2022/11/01 18:11:33 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:04 time: 0.0446 data_time: 0.0020 memory: 2082 2022/11/01 18:11:33 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:04 time: 0.0564 data_time: 0.0019 memory: 1705 2022/11/01 18:11:33 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:05 time: 0.0580 data_time: 0.0019 memory: 2044 2022/11/01 18:11:34 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:05 time: 0.0447 data_time: 0.0020 memory: 2044 2022/11/01 18:11:34 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:03 time: 0.0423 data_time: 0.0018 memory: 1818 2022/11/01 18:11:34 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:03 time: 0.0449 data_time: 0.0018 memory: 1705 2022/11/01 18:11:34 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:04 time: 0.0539 data_time: 0.0020 memory: 2007 2022/11/01 18:11:35 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:04 time: 0.0564 data_time: 0.0021 memory: 1705 2022/11/01 18:11:35 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:03 time: 0.0478 data_time: 0.0021 memory: 2082 2022/11/01 18:11:35 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:03 time: 0.0436 data_time: 0.0021 memory: 1705 2022/11/01 18:11:35 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:03 time: 0.0508 data_time: 0.0117 memory: 1856 2022/11/01 18:11:36 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:03 time: 0.0549 data_time: 0.0117 memory: 2007 2022/11/01 18:11:36 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:02 time: 0.0462 data_time: 0.0019 memory: 1705 2022/11/01 18:11:36 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:02 time: 0.0441 data_time: 0.0018 memory: 2082 2022/11/01 18:11:36 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:01 time: 0.0431 data_time: 0.0019 memory: 1781 2022/11/01 18:11:37 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:01 time: 0.0398 data_time: 0.0020 memory: 1969 2022/11/01 18:11:37 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:01 time: 0.0406 data_time: 0.0021 memory: 1781 2022/11/01 18:11:37 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:01 time: 0.0468 data_time: 0.0021 memory: 2082 2022/11/01 18:11:37 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:01 time: 0.0514 data_time: 0.0022 memory: 2044 2022/11/01 18:11:37 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:01 time: 0.0453 data_time: 0.0022 memory: 1705 2022/11/01 18:11:38 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:00 time: 0.0372 data_time: 0.0018 memory: 1969 2022/11/01 18:11:38 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:00 time: 0.0399 data_time: 0.0018 memory: 2082 2022/11/01 18:11:38 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.0408 data_time: 0.0017 memory: 1743 2022/11/01 18:11:38 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 18:11:38 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7945, precision: 0.5578, hmean: 0.6554 2022/11/01 18:11:38 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7945, precision: 0.5578, hmean: 0.6554 2022/11/01 18:11:38 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7945, precision: 0.5578, hmean: 0.6554 2022/11/01 18:11:38 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7945, precision: 0.5918, hmean: 0.6783 2022/11/01 18:11:38 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7935, precision: 0.6672, hmean: 0.7249 2022/11/01 18:11:38 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7899, precision: 0.7408, hmean: 0.7646 2022/11/01 18:11:38 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7590, precision: 0.8227, hmean: 0.7896 2022/11/01 18:11:38 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.8227 icdar/recall: 0.7590 icdar/hmean: 0.7896 2022/11/01 18:13:19 - mmengine - INFO - Epoch(train) [121][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 10.3874 data_time: 9.6469 memory: 27786 loss: 0.0921 loss_text: 0.0589 loss_kernel: 0.0332 2022/11/01 18:13:23 - mmengine - INFO - Epoch(train) [121][10/63] lr: 1.0000e-04 eta: 18:52:57 time: 10.4444 data_time: 9.6631 memory: 27786 loss: 0.0743 loss_text: 0.0452 loss_kernel: 0.0292 2022/11/01 18:13:27 - mmengine - INFO - Epoch(train) [121][15/63] lr: 1.0000e-04 eta: 18:52:57 time: 0.8009 data_time: 0.0342 memory: 27786 loss: 0.0746 loss_text: 0.0454 loss_kernel: 0.0292 2022/11/01 18:13:30 - mmengine - INFO - Epoch(train) [121][20/63] lr: 1.0000e-04 eta: 18:51:25 time: 0.7891 data_time: 0.0178 memory: 27786 loss: 0.0801 loss_text: 0.0506 loss_kernel: 0.0295 2022/11/01 18:13:34 - mmengine - INFO - Epoch(train) [121][25/63] lr: 1.0000e-04 eta: 18:51:25 time: 0.7864 data_time: 0.0202 memory: 27786 loss: 0.0737 loss_text: 0.0464 loss_kernel: 0.0273 2022/11/01 18:13:38 - mmengine - INFO - Epoch(train) [121][30/63] lr: 1.0000e-04 eta: 18:49:53 time: 0.7936 data_time: 0.0304 memory: 27786 loss: 0.0695 loss_text: 0.0429 loss_kernel: 0.0266 2022/11/01 18:13:42 - mmengine - INFO - Epoch(train) [121][35/63] lr: 1.0000e-04 eta: 18:49:53 time: 0.7845 data_time: 0.0241 memory: 27786 loss: 0.0803 loss_text: 0.0505 loss_kernel: 0.0297 2022/11/01 18:13:46 - mmengine - INFO - Epoch(train) [121][40/63] lr: 1.0000e-04 eta: 18:48:21 time: 0.7862 data_time: 0.0203 memory: 27786 loss: 0.0800 loss_text: 0.0507 loss_kernel: 0.0293 2022/11/01 18:13:50 - mmengine - INFO - Epoch(train) [121][45/63] lr: 1.0000e-04 eta: 18:48:21 time: 0.8054 data_time: 0.0276 memory: 27786 loss: 0.0796 loss_text: 0.0505 loss_kernel: 0.0291 2022/11/01 18:13:54 - mmengine - INFO - Epoch(train) [121][50/63] lr: 1.0000e-04 eta: 18:46:50 time: 0.7918 data_time: 0.0234 memory: 27786 loss: 0.0903 loss_text: 0.0586 loss_kernel: 0.0316 2022/11/01 18:13:58 - mmengine - INFO - Epoch(train) [121][55/63] lr: 1.0000e-04 eta: 18:46:50 time: 0.7819 data_time: 0.0242 memory: 27786 loss: 0.0831 loss_text: 0.0535 loss_kernel: 0.0296 2022/11/01 18:14:02 - mmengine - INFO - Epoch(train) [121][60/63] lr: 1.0000e-04 eta: 18:45:19 time: 0.7889 data_time: 0.0238 memory: 27786 loss: 0.0757 loss_text: 0.0476 loss_kernel: 0.0281 2022/11/01 18:14:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:15:45 - mmengine - INFO - Epoch(train) [122][5/63] lr: 1.0000e-04 eta: 18:45:19 time: 10.3994 data_time: 9.6573 memory: 27786 loss: 0.0767 loss_text: 0.0477 loss_kernel: 0.0290 2022/11/01 18:15:49 - mmengine - INFO - Epoch(train) [122][10/63] lr: 1.0000e-04 eta: 18:50:47 time: 10.4597 data_time: 9.6742 memory: 27786 loss: 0.0812 loss_text: 0.0509 loss_kernel: 0.0303 2022/11/01 18:15:53 - mmengine - INFO - Epoch(train) [122][15/63] lr: 1.0000e-04 eta: 18:50:47 time: 0.7966 data_time: 0.0277 memory: 27786 loss: 0.0857 loss_text: 0.0550 loss_kernel: 0.0308 2022/11/01 18:15:57 - mmengine - INFO - Epoch(train) [122][20/63] lr: 1.0000e-04 eta: 18:49:15 time: 0.7807 data_time: 0.0311 memory: 27786 loss: 0.0815 loss_text: 0.0517 loss_kernel: 0.0299 2022/11/01 18:16:01 - mmengine - INFO - Epoch(train) [122][25/63] lr: 1.0000e-04 eta: 18:49:15 time: 0.8022 data_time: 0.0425 memory: 27786 loss: 0.0821 loss_text: 0.0523 loss_kernel: 0.0299 2022/11/01 18:16:04 - mmengine - INFO - Epoch(train) [122][30/63] lr: 1.0000e-04 eta: 18:47:44 time: 0.7949 data_time: 0.0226 memory: 27786 loss: 0.0841 loss_text: 0.0543 loss_kernel: 0.0298 2022/11/01 18:16:08 - mmengine - INFO - Epoch(train) [122][35/63] lr: 1.0000e-04 eta: 18:47:44 time: 0.7903 data_time: 0.0203 memory: 27786 loss: 0.0756 loss_text: 0.0476 loss_kernel: 0.0280 2022/11/01 18:16:12 - mmengine - INFO - Epoch(train) [122][40/63] lr: 1.0000e-04 eta: 18:46:13 time: 0.7895 data_time: 0.0227 memory: 27786 loss: 0.0736 loss_text: 0.0467 loss_kernel: 0.0269 2022/11/01 18:16:16 - mmengine - INFO - Epoch(train) [122][45/63] lr: 1.0000e-04 eta: 18:46:13 time: 0.7870 data_time: 0.0266 memory: 27786 loss: 0.0781 loss_text: 0.0510 loss_kernel: 0.0271 2022/11/01 18:16:20 - mmengine - INFO - Epoch(train) [122][50/63] lr: 1.0000e-04 eta: 18:44:42 time: 0.7846 data_time: 0.0270 memory: 27786 loss: 0.0789 loss_text: 0.0503 loss_kernel: 0.0285 2022/11/01 18:16:24 - mmengine - INFO - Epoch(train) [122][55/63] lr: 1.0000e-04 eta: 18:44:42 time: 0.7771 data_time: 0.0187 memory: 27786 loss: 0.0766 loss_text: 0.0476 loss_kernel: 0.0290 2022/11/01 18:16:28 - mmengine - INFO - Epoch(train) [122][60/63] lr: 1.0000e-04 eta: 18:43:11 time: 0.7724 data_time: 0.0161 memory: 27786 loss: 0.0755 loss_text: 0.0479 loss_kernel: 0.0275 2022/11/01 18:16:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:18:10 - mmengine - INFO - Epoch(train) [123][5/63] lr: 1.0000e-04 eta: 18:43:11 time: 10.3730 data_time: 9.6291 memory: 27786 loss: 0.0768 loss_text: 0.0486 loss_kernel: 0.0282 2022/11/01 18:18:14 - mmengine - INFO - Epoch(train) [123][10/63] lr: 1.0000e-04 eta: 18:48:34 time: 10.4322 data_time: 9.6426 memory: 27786 loss: 0.0709 loss_text: 0.0438 loss_kernel: 0.0271 2022/11/01 18:18:18 - mmengine - INFO - Epoch(train) [123][15/63] lr: 1.0000e-04 eta: 18:48:34 time: 0.8051 data_time: 0.0299 memory: 27786 loss: 0.0775 loss_text: 0.0480 loss_kernel: 0.0295 2022/11/01 18:18:22 - mmengine - INFO - Epoch(train) [123][20/63] lr: 1.0000e-04 eta: 18:47:03 time: 0.7888 data_time: 0.0230 memory: 27786 loss: 0.0809 loss_text: 0.0509 loss_kernel: 0.0300 2022/11/01 18:18:26 - mmengine - INFO - Epoch(train) [123][25/63] lr: 1.0000e-04 eta: 18:47:03 time: 0.8104 data_time: 0.0355 memory: 27786 loss: 0.0752 loss_text: 0.0477 loss_kernel: 0.0275 2022/11/01 18:18:30 - mmengine - INFO - Epoch(train) [123][30/63] lr: 1.0000e-04 eta: 18:45:33 time: 0.8002 data_time: 0.0306 memory: 27786 loss: 0.0695 loss_text: 0.0435 loss_kernel: 0.0260 2022/11/01 18:18:34 - mmengine - INFO - Epoch(train) [123][35/63] lr: 1.0000e-04 eta: 18:45:33 time: 0.7902 data_time: 0.0210 memory: 27786 loss: 0.0649 loss_text: 0.0402 loss_kernel: 0.0248 2022/11/01 18:18:38 - mmengine - INFO - Epoch(train) [123][40/63] lr: 1.0000e-04 eta: 18:44:04 time: 0.8084 data_time: 0.0223 memory: 27786 loss: 0.0756 loss_text: 0.0477 loss_kernel: 0.0279 2022/11/01 18:18:42 - mmengine - INFO - Epoch(train) [123][45/63] lr: 1.0000e-04 eta: 18:44:04 time: 0.8051 data_time: 0.0276 memory: 27786 loss: 0.0831 loss_text: 0.0527 loss_kernel: 0.0303 2022/11/01 18:18:46 - mmengine - INFO - Epoch(train) [123][50/63] lr: 1.0000e-04 eta: 18:42:34 time: 0.7951 data_time: 0.0316 memory: 27786 loss: 0.0720 loss_text: 0.0450 loss_kernel: 0.0269 2022/11/01 18:18:50 - mmengine - INFO - Epoch(train) [123][55/63] lr: 1.0000e-04 eta: 18:42:34 time: 0.7801 data_time: 0.0220 memory: 27786 loss: 0.0688 loss_text: 0.0436 loss_kernel: 0.0251 2022/11/01 18:18:54 - mmengine - INFO - Epoch(train) [123][60/63] lr: 1.0000e-04 eta: 18:41:05 time: 0.7847 data_time: 0.0174 memory: 27786 loss: 0.0697 loss_text: 0.0442 loss_kernel: 0.0255 2022/11/01 18:18:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:20:37 - mmengine - INFO - Epoch(train) [124][5/63] lr: 1.0000e-04 eta: 18:41:05 time: 10.4343 data_time: 9.6899 memory: 27786 loss: 0.0648 loss_text: 0.0408 loss_kernel: 0.0239 2022/11/01 18:20:41 - mmengine - INFO - Epoch(train) [124][10/63] lr: 1.0000e-04 eta: 18:46:26 time: 10.4862 data_time: 9.7069 memory: 27786 loss: 0.0684 loss_text: 0.0427 loss_kernel: 0.0257 2022/11/01 18:20:45 - mmengine - INFO - Epoch(train) [124][15/63] lr: 1.0000e-04 eta: 18:46:26 time: 0.8082 data_time: 0.0272 memory: 27786 loss: 0.0722 loss_text: 0.0455 loss_kernel: 0.0267 2022/11/01 18:20:49 - mmengine - INFO - Epoch(train) [124][20/63] lr: 1.0000e-04 eta: 18:44:56 time: 0.8015 data_time: 0.0193 memory: 27786 loss: 0.0766 loss_text: 0.0490 loss_kernel: 0.0277 2022/11/01 18:20:53 - mmengine - INFO - Epoch(train) [124][25/63] lr: 1.0000e-04 eta: 18:44:56 time: 0.8051 data_time: 0.0303 memory: 27786 loss: 0.0779 loss_text: 0.0501 loss_kernel: 0.0278 2022/11/01 18:20:57 - mmengine - INFO - Epoch(train) [124][30/63] lr: 1.0000e-04 eta: 18:43:27 time: 0.7942 data_time: 0.0268 memory: 27786 loss: 0.0735 loss_text: 0.0466 loss_kernel: 0.0270 2022/11/01 18:21:01 - mmengine - INFO - Epoch(train) [124][35/63] lr: 1.0000e-04 eta: 18:43:27 time: 0.8003 data_time: 0.0296 memory: 27786 loss: 0.0724 loss_text: 0.0460 loss_kernel: 0.0264 2022/11/01 18:21:05 - mmengine - INFO - Epoch(train) [124][40/63] lr: 1.0000e-04 eta: 18:41:58 time: 0.7900 data_time: 0.0226 memory: 27786 loss: 0.0866 loss_text: 0.0564 loss_kernel: 0.0302 2022/11/01 18:21:09 - mmengine - INFO - Epoch(train) [124][45/63] lr: 1.0000e-04 eta: 18:41:58 time: 0.7834 data_time: 0.0208 memory: 27786 loss: 0.1040 loss_text: 0.0676 loss_kernel: 0.0365 2022/11/01 18:21:13 - mmengine - INFO - Epoch(train) [124][50/63] lr: 1.0000e-04 eta: 18:40:29 time: 0.7999 data_time: 0.0317 memory: 27786 loss: 0.0905 loss_text: 0.0580 loss_kernel: 0.0325 2022/11/01 18:21:17 - mmengine - INFO - Epoch(train) [124][55/63] lr: 1.0000e-04 eta: 18:40:29 time: 0.7785 data_time: 0.0234 memory: 27786 loss: 0.0700 loss_text: 0.0438 loss_kernel: 0.0261 2022/11/01 18:21:21 - mmengine - INFO - Epoch(train) [124][60/63] lr: 1.0000e-04 eta: 18:38:59 time: 0.7673 data_time: 0.0169 memory: 27786 loss: 0.0717 loss_text: 0.0443 loss_kernel: 0.0274 2022/11/01 18:21:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:23:02 - mmengine - INFO - Epoch(train) [125][5/63] lr: 1.0000e-04 eta: 18:38:59 time: 10.3047 data_time: 9.5736 memory: 27786 loss: 0.0654 loss_text: 0.0414 loss_kernel: 0.0241 2022/11/01 18:23:06 - mmengine - INFO - Epoch(train) [125][10/63] lr: 1.0000e-04 eta: 18:44:10 time: 10.3576 data_time: 9.5857 memory: 27786 loss: 0.0680 loss_text: 0.0429 loss_kernel: 0.0250 2022/11/01 18:23:10 - mmengine - INFO - Epoch(train) [125][15/63] lr: 1.0000e-04 eta: 18:44:10 time: 0.8042 data_time: 0.0280 memory: 27786 loss: 0.0708 loss_text: 0.0448 loss_kernel: 0.0260 2022/11/01 18:23:14 - mmengine - INFO - Epoch(train) [125][20/63] lr: 1.0000e-04 eta: 18:42:42 time: 0.8062 data_time: 0.0342 memory: 27786 loss: 0.0782 loss_text: 0.0493 loss_kernel: 0.0288 2022/11/01 18:23:18 - mmengine - INFO - Epoch(train) [125][25/63] lr: 1.0000e-04 eta: 18:42:42 time: 0.8038 data_time: 0.0379 memory: 27786 loss: 0.0812 loss_text: 0.0508 loss_kernel: 0.0304 2022/11/01 18:23:22 - mmengine - INFO - Epoch(train) [125][30/63] lr: 1.0000e-04 eta: 18:41:13 time: 0.7900 data_time: 0.0268 memory: 27786 loss: 0.0772 loss_text: 0.0486 loss_kernel: 0.0286 2022/11/01 18:23:26 - mmengine - INFO - Epoch(train) [125][35/63] lr: 1.0000e-04 eta: 18:41:13 time: 0.7722 data_time: 0.0181 memory: 27786 loss: 0.0754 loss_text: 0.0478 loss_kernel: 0.0277 2022/11/01 18:23:30 - mmengine - INFO - Epoch(train) [125][40/63] lr: 1.0000e-04 eta: 18:39:44 time: 0.7705 data_time: 0.0174 memory: 27786 loss: 0.0775 loss_text: 0.0487 loss_kernel: 0.0288 2022/11/01 18:23:34 - mmengine - INFO - Epoch(train) [125][45/63] lr: 1.0000e-04 eta: 18:39:44 time: 0.7810 data_time: 0.0214 memory: 27786 loss: 0.0758 loss_text: 0.0474 loss_kernel: 0.0283 2022/11/01 18:23:38 - mmengine - INFO - Epoch(train) [125][50/63] lr: 1.0000e-04 eta: 18:38:15 time: 0.7859 data_time: 0.0240 memory: 27786 loss: 0.0786 loss_text: 0.0495 loss_kernel: 0.0291 2022/11/01 18:23:42 - mmengine - INFO - Epoch(train) [125][55/63] lr: 1.0000e-04 eta: 18:38:15 time: 0.7878 data_time: 0.0235 memory: 27786 loss: 0.0783 loss_text: 0.0486 loss_kernel: 0.0297 2022/11/01 18:23:45 - mmengine - INFO - Epoch(train) [125][60/63] lr: 1.0000e-04 eta: 18:36:46 time: 0.7756 data_time: 0.0168 memory: 27786 loss: 0.0832 loss_text: 0.0525 loss_kernel: 0.0307 2022/11/01 18:23:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:25:28 - mmengine - INFO - Epoch(train) [126][5/63] lr: 1.0000e-04 eta: 18:36:46 time: 10.4099 data_time: 9.6749 memory: 27786 loss: 0.0781 loss_text: 0.0490 loss_kernel: 0.0291 2022/11/01 18:25:32 - mmengine - INFO - Epoch(train) [126][10/63] lr: 1.0000e-04 eta: 18:41:59 time: 10.4699 data_time: 9.6816 memory: 27786 loss: 0.0692 loss_text: 0.0432 loss_kernel: 0.0259 2022/11/01 18:25:36 - mmengine - INFO - Epoch(train) [126][15/63] lr: 1.0000e-04 eta: 18:41:59 time: 0.7915 data_time: 0.0298 memory: 27786 loss: 0.0738 loss_text: 0.0467 loss_kernel: 0.0270 2022/11/01 18:25:40 - mmengine - INFO - Epoch(train) [126][20/63] lr: 1.0000e-04 eta: 18:40:30 time: 0.7876 data_time: 0.0365 memory: 27786 loss: 0.0820 loss_text: 0.0525 loss_kernel: 0.0295 2022/11/01 18:25:44 - mmengine - INFO - Epoch(train) [126][25/63] lr: 1.0000e-04 eta: 18:40:30 time: 0.7902 data_time: 0.0310 memory: 27786 loss: 0.0830 loss_text: 0.0529 loss_kernel: 0.0300 2022/11/01 18:25:48 - mmengine - INFO - Epoch(train) [126][30/63] lr: 1.0000e-04 eta: 18:39:02 time: 0.7950 data_time: 0.0209 memory: 27786 loss: 0.0814 loss_text: 0.0518 loss_kernel: 0.0296 2022/11/01 18:25:52 - mmengine - INFO - Epoch(train) [126][35/63] lr: 1.0000e-04 eta: 18:39:02 time: 0.8085 data_time: 0.0249 memory: 27786 loss: 0.0861 loss_text: 0.0550 loss_kernel: 0.0311 2022/11/01 18:25:56 - mmengine - INFO - Epoch(train) [126][40/63] lr: 1.0000e-04 eta: 18:37:35 time: 0.8025 data_time: 0.0249 memory: 27786 loss: 0.0791 loss_text: 0.0504 loss_kernel: 0.0288 2022/11/01 18:26:00 - mmengine - INFO - Epoch(train) [126][45/63] lr: 1.0000e-04 eta: 18:37:35 time: 0.7985 data_time: 0.0229 memory: 27786 loss: 0.0742 loss_text: 0.0461 loss_kernel: 0.0281 2022/11/01 18:26:04 - mmengine - INFO - Epoch(train) [126][50/63] lr: 1.0000e-04 eta: 18:36:07 time: 0.7807 data_time: 0.0216 memory: 27786 loss: 0.0812 loss_text: 0.0497 loss_kernel: 0.0315 2022/11/01 18:26:08 - mmengine - INFO - Epoch(train) [126][55/63] lr: 1.0000e-04 eta: 18:36:07 time: 0.7796 data_time: 0.0225 memory: 27786 loss: 0.0826 loss_text: 0.0517 loss_kernel: 0.0309 2022/11/01 18:26:12 - mmengine - INFO - Epoch(train) [126][60/63] lr: 1.0000e-04 eta: 18:34:39 time: 0.7865 data_time: 0.0211 memory: 27786 loss: 0.0790 loss_text: 0.0505 loss_kernel: 0.0284 2022/11/01 18:26:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:27:54 - mmengine - INFO - Epoch(train) [127][5/63] lr: 1.0000e-04 eta: 18:34:39 time: 10.3396 data_time: 9.6077 memory: 27786 loss: 0.0701 loss_text: 0.0430 loss_kernel: 0.0271 2022/11/01 18:27:58 - mmengine - INFO - Epoch(train) [127][10/63] lr: 1.0000e-04 eta: 18:39:44 time: 10.3877 data_time: 9.6093 memory: 27786 loss: 0.0770 loss_text: 0.0486 loss_kernel: 0.0284 2022/11/01 18:28:02 - mmengine - INFO - Epoch(train) [127][15/63] lr: 1.0000e-04 eta: 18:39:44 time: 0.8149 data_time: 0.0217 memory: 27786 loss: 0.0732 loss_text: 0.0449 loss_kernel: 0.0283 2022/11/01 18:28:06 - mmengine - INFO - Epoch(train) [127][20/63] lr: 1.0000e-04 eta: 18:38:17 time: 0.7962 data_time: 0.0190 memory: 27786 loss: 0.0768 loss_text: 0.0475 loss_kernel: 0.0293 2022/11/01 18:28:10 - mmengine - INFO - Epoch(train) [127][25/63] lr: 1.0000e-04 eta: 18:38:17 time: 0.7991 data_time: 0.0215 memory: 27786 loss: 0.0853 loss_text: 0.0544 loss_kernel: 0.0310 2022/11/01 18:28:14 - mmengine - INFO - Epoch(train) [127][30/63] lr: 1.0000e-04 eta: 18:36:51 time: 0.8264 data_time: 0.0339 memory: 27786 loss: 0.0873 loss_text: 0.0560 loss_kernel: 0.0312 2022/11/01 18:28:18 - mmengine - INFO - Epoch(train) [127][35/63] lr: 1.0000e-04 eta: 18:36:51 time: 0.8019 data_time: 0.0332 memory: 27786 loss: 0.0836 loss_text: 0.0533 loss_kernel: 0.0303 2022/11/01 18:28:22 - mmengine - INFO - Epoch(train) [127][40/63] lr: 1.0000e-04 eta: 18:35:24 time: 0.7851 data_time: 0.0289 memory: 27786 loss: 0.0859 loss_text: 0.0547 loss_kernel: 0.0312 2022/11/01 18:28:26 - mmengine - INFO - Epoch(train) [127][45/63] lr: 1.0000e-04 eta: 18:35:24 time: 0.7876 data_time: 0.0281 memory: 27786 loss: 0.0879 loss_text: 0.0567 loss_kernel: 0.0312 2022/11/01 18:28:30 - mmengine - INFO - Epoch(train) [127][50/63] lr: 1.0000e-04 eta: 18:33:57 time: 0.7841 data_time: 0.0228 memory: 27786 loss: 0.0790 loss_text: 0.0508 loss_kernel: 0.0281 2022/11/01 18:28:34 - mmengine - INFO - Epoch(train) [127][55/63] lr: 1.0000e-04 eta: 18:33:57 time: 0.7743 data_time: 0.0201 memory: 27786 loss: 0.0746 loss_text: 0.0463 loss_kernel: 0.0284 2022/11/01 18:28:37 - mmengine - INFO - Epoch(train) [127][60/63] lr: 1.0000e-04 eta: 18:32:29 time: 0.7619 data_time: 0.0170 memory: 27786 loss: 0.0830 loss_text: 0.0515 loss_kernel: 0.0315 2022/11/01 18:28:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:28:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:30:20 - mmengine - INFO - Epoch(train) [128][5/63] lr: 1.0000e-04 eta: 18:32:29 time: 10.3775 data_time: 9.6395 memory: 27786 loss: 0.0746 loss_text: 0.0457 loss_kernel: 0.0289 2022/11/01 18:30:24 - mmengine - INFO - Epoch(train) [128][10/63] lr: 1.0000e-04 eta: 18:37:31 time: 10.4301 data_time: 9.6476 memory: 27786 loss: 0.0797 loss_text: 0.0495 loss_kernel: 0.0302 2022/11/01 18:30:28 - mmengine - INFO - Epoch(train) [128][15/63] lr: 1.0000e-04 eta: 18:37:31 time: 0.7884 data_time: 0.0300 memory: 27786 loss: 0.0717 loss_text: 0.0444 loss_kernel: 0.0273 2022/11/01 18:30:32 - mmengine - INFO - Epoch(train) [128][20/63] lr: 1.0000e-04 eta: 18:36:04 time: 0.7899 data_time: 0.0258 memory: 27786 loss: 0.0723 loss_text: 0.0447 loss_kernel: 0.0276 2022/11/01 18:30:36 - mmengine - INFO - Epoch(train) [128][25/63] lr: 1.0000e-04 eta: 18:36:04 time: 0.7893 data_time: 0.0211 memory: 27786 loss: 0.0842 loss_text: 0.0535 loss_kernel: 0.0307 2022/11/01 18:30:39 - mmengine - INFO - Epoch(train) [128][30/63] lr: 1.0000e-04 eta: 18:34:38 time: 0.7917 data_time: 0.0248 memory: 27786 loss: 0.0923 loss_text: 0.0600 loss_kernel: 0.0323 2022/11/01 18:30:44 - mmengine - INFO - Epoch(train) [128][35/63] lr: 1.0000e-04 eta: 18:34:38 time: 0.8047 data_time: 0.0252 memory: 27786 loss: 0.0903 loss_text: 0.0592 loss_kernel: 0.0311 2022/11/01 18:30:48 - mmengine - INFO - Epoch(train) [128][40/63] lr: 1.0000e-04 eta: 18:33:13 time: 0.8187 data_time: 0.0247 memory: 27786 loss: 0.0911 loss_text: 0.0607 loss_kernel: 0.0304 2022/11/01 18:30:52 - mmengine - INFO - Epoch(train) [128][45/63] lr: 1.0000e-04 eta: 18:33:13 time: 0.8062 data_time: 0.0254 memory: 27786 loss: 0.0930 loss_text: 0.0606 loss_kernel: 0.0324 2022/11/01 18:30:56 - mmengine - INFO - Epoch(train) [128][50/63] lr: 1.0000e-04 eta: 18:31:46 time: 0.7870 data_time: 0.0253 memory: 27786 loss: 0.0905 loss_text: 0.0584 loss_kernel: 0.0321 2022/11/01 18:30:59 - mmengine - INFO - Epoch(train) [128][55/63] lr: 1.0000e-04 eta: 18:31:46 time: 0.7746 data_time: 0.0195 memory: 27786 loss: 0.0880 loss_text: 0.0579 loss_kernel: 0.0301 2022/11/01 18:31:03 - mmengine - INFO - Epoch(train) [128][60/63] lr: 1.0000e-04 eta: 18:30:20 time: 0.7828 data_time: 0.0168 memory: 27786 loss: 0.0791 loss_text: 0.0504 loss_kernel: 0.0287 2022/11/01 18:31:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:32:45 - mmengine - INFO - Epoch(train) [129][5/63] lr: 1.0000e-04 eta: 18:30:20 time: 10.3321 data_time: 9.5965 memory: 27786 loss: 0.0805 loss_text: 0.0517 loss_kernel: 0.0289 2022/11/01 18:32:49 - mmengine - INFO - Epoch(train) [129][10/63] lr: 1.0000e-04 eta: 18:35:17 time: 10.3914 data_time: 9.6157 memory: 27786 loss: 0.0789 loss_text: 0.0520 loss_kernel: 0.0269 2022/11/01 18:32:53 - mmengine - INFO - Epoch(train) [129][15/63] lr: 1.0000e-04 eta: 18:35:17 time: 0.7950 data_time: 0.0342 memory: 27786 loss: 0.0861 loss_text: 0.0560 loss_kernel: 0.0301 2022/11/01 18:32:57 - mmengine - INFO - Epoch(train) [129][20/63] lr: 1.0000e-04 eta: 18:33:51 time: 0.7926 data_time: 0.0275 memory: 27786 loss: 0.0927 loss_text: 0.0597 loss_kernel: 0.0330 2022/11/01 18:33:01 - mmengine - INFO - Epoch(train) [129][25/63] lr: 1.0000e-04 eta: 18:33:51 time: 0.8171 data_time: 0.0314 memory: 27786 loss: 0.0809 loss_text: 0.0502 loss_kernel: 0.0307 2022/11/01 18:33:05 - mmengine - INFO - Epoch(train) [129][30/63] lr: 1.0000e-04 eta: 18:32:26 time: 0.8079 data_time: 0.0191 memory: 27786 loss: 0.0738 loss_text: 0.0458 loss_kernel: 0.0280 2022/11/01 18:33:09 - mmengine - INFO - Epoch(train) [129][35/63] lr: 1.0000e-04 eta: 18:32:26 time: 0.7954 data_time: 0.0203 memory: 27786 loss: 0.0766 loss_text: 0.0494 loss_kernel: 0.0272 2022/11/01 18:33:13 - mmengine - INFO - Epoch(train) [129][40/63] lr: 1.0000e-04 eta: 18:31:01 time: 0.7962 data_time: 0.0361 memory: 27786 loss: 0.0816 loss_text: 0.0530 loss_kernel: 0.0286 2022/11/01 18:33:17 - mmengine - INFO - Epoch(train) [129][45/63] lr: 1.0000e-04 eta: 18:31:01 time: 0.8073 data_time: 0.0338 memory: 27786 loss: 0.0803 loss_text: 0.0513 loss_kernel: 0.0290 2022/11/01 18:33:21 - mmengine - INFO - Epoch(train) [129][50/63] lr: 1.0000e-04 eta: 18:29:36 time: 0.8147 data_time: 0.0318 memory: 27786 loss: 0.0751 loss_text: 0.0482 loss_kernel: 0.0269 2022/11/01 18:33:25 - mmengine - INFO - Epoch(train) [129][55/63] lr: 1.0000e-04 eta: 18:29:36 time: 0.8021 data_time: 0.0270 memory: 27786 loss: 0.0765 loss_text: 0.0485 loss_kernel: 0.0280 2022/11/01 18:33:29 - mmengine - INFO - Epoch(train) [129][60/63] lr: 1.0000e-04 eta: 18:28:11 time: 0.7902 data_time: 0.0196 memory: 27786 loss: 0.0785 loss_text: 0.0488 loss_kernel: 0.0297 2022/11/01 18:33:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:35:12 - mmengine - INFO - Epoch(train) [130][5/63] lr: 1.0000e-04 eta: 18:28:11 time: 10.3729 data_time: 9.6359 memory: 27786 loss: 0.0988 loss_text: 0.0624 loss_kernel: 0.0364 2022/11/01 18:35:16 - mmengine - INFO - Epoch(train) [130][10/63] lr: 1.0000e-04 eta: 18:33:07 time: 10.4371 data_time: 9.6546 memory: 27786 loss: 0.0829 loss_text: 0.0507 loss_kernel: 0.0322 2022/11/01 18:35:20 - mmengine - INFO - Epoch(train) [130][15/63] lr: 1.0000e-04 eta: 18:33:07 time: 0.8036 data_time: 0.0315 memory: 27786 loss: 0.0710 loss_text: 0.0422 loss_kernel: 0.0289 2022/11/01 18:35:24 - mmengine - INFO - Epoch(train) [130][20/63] lr: 1.0000e-04 eta: 18:31:41 time: 0.7899 data_time: 0.0167 memory: 27786 loss: 0.0674 loss_text: 0.0413 loss_kernel: 0.0261 2022/11/01 18:35:28 - mmengine - INFO - Epoch(train) [130][25/63] lr: 1.0000e-04 eta: 18:31:41 time: 0.7917 data_time: 0.0293 memory: 27786 loss: 0.0737 loss_text: 0.0459 loss_kernel: 0.0278 2022/11/01 18:35:32 - mmengine - INFO - Epoch(train) [130][30/63] lr: 1.0000e-04 eta: 18:30:16 time: 0.7859 data_time: 0.0262 memory: 27786 loss: 0.0711 loss_text: 0.0446 loss_kernel: 0.0265 2022/11/01 18:35:35 - mmengine - INFO - Epoch(train) [130][35/63] lr: 1.0000e-04 eta: 18:30:16 time: 0.7747 data_time: 0.0193 memory: 27786 loss: 0.0678 loss_text: 0.0434 loss_kernel: 0.0244 2022/11/01 18:35:39 - mmengine - INFO - Epoch(train) [130][40/63] lr: 1.0000e-04 eta: 18:28:50 time: 0.7655 data_time: 0.0205 memory: 27786 loss: 0.0789 loss_text: 0.0517 loss_kernel: 0.0272 2022/11/01 18:35:43 - mmengine - INFO - Epoch(train) [130][45/63] lr: 1.0000e-04 eta: 18:28:50 time: 0.7739 data_time: 0.0213 memory: 27786 loss: 0.0881 loss_text: 0.0560 loss_kernel: 0.0320 2022/11/01 18:35:47 - mmengine - INFO - Epoch(train) [130][50/63] lr: 1.0000e-04 eta: 18:27:25 time: 0.7864 data_time: 0.0288 memory: 27786 loss: 0.0937 loss_text: 0.0582 loss_kernel: 0.0354 2022/11/01 18:35:51 - mmengine - INFO - Epoch(train) [130][55/63] lr: 1.0000e-04 eta: 18:27:25 time: 0.7787 data_time: 0.0249 memory: 27786 loss: 0.0828 loss_text: 0.0510 loss_kernel: 0.0317 2022/11/01 18:35:55 - mmengine - INFO - Epoch(train) [130][60/63] lr: 1.0000e-04 eta: 18:25:59 time: 0.7581 data_time: 0.0163 memory: 27786 loss: 0.0663 loss_text: 0.0407 loss_kernel: 0.0256 2022/11/01 18:35:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:37:36 - mmengine - INFO - Epoch(train) [131][5/63] lr: 1.0000e-04 eta: 18:25:59 time: 10.2394 data_time: 9.5288 memory: 27786 loss: 0.0675 loss_text: 0.0420 loss_kernel: 0.0255 2022/11/01 18:37:40 - mmengine - INFO - Epoch(train) [131][10/63] lr: 1.0000e-04 eta: 18:30:45 time: 10.3116 data_time: 9.5396 memory: 27786 loss: 0.0812 loss_text: 0.0514 loss_kernel: 0.0298 2022/11/01 18:37:44 - mmengine - INFO - Epoch(train) [131][15/63] lr: 1.0000e-04 eta: 18:30:45 time: 0.8083 data_time: 0.0294 memory: 27786 loss: 0.0780 loss_text: 0.0489 loss_kernel: 0.0291 2022/11/01 18:37:48 - mmengine - INFO - Epoch(train) [131][20/63] lr: 1.0000e-04 eta: 18:29:21 time: 0.7961 data_time: 0.0225 memory: 27786 loss: 0.0676 loss_text: 0.0414 loss_kernel: 0.0262 2022/11/01 18:37:52 - mmengine - INFO - Epoch(train) [131][25/63] lr: 1.0000e-04 eta: 18:29:21 time: 0.7845 data_time: 0.0268 memory: 27786 loss: 0.0714 loss_text: 0.0442 loss_kernel: 0.0272 2022/11/01 18:37:56 - mmengine - INFO - Epoch(train) [131][30/63] lr: 1.0000e-04 eta: 18:27:56 time: 0.7871 data_time: 0.0258 memory: 27786 loss: 0.0767 loss_text: 0.0482 loss_kernel: 0.0285 2022/11/01 18:38:00 - mmengine - INFO - Epoch(train) [131][35/63] lr: 1.0000e-04 eta: 18:27:56 time: 0.7995 data_time: 0.0206 memory: 27786 loss: 0.0723 loss_text: 0.0450 loss_kernel: 0.0273 2022/11/01 18:38:03 - mmengine - INFO - Epoch(train) [131][40/63] lr: 1.0000e-04 eta: 18:26:32 time: 0.7959 data_time: 0.0218 memory: 27786 loss: 0.0722 loss_text: 0.0450 loss_kernel: 0.0272 2022/11/01 18:38:08 - mmengine - INFO - Epoch(train) [131][45/63] lr: 1.0000e-04 eta: 18:26:32 time: 0.7911 data_time: 0.0222 memory: 27786 loss: 0.0768 loss_text: 0.0486 loss_kernel: 0.0282 2022/11/01 18:38:11 - mmengine - INFO - Epoch(train) [131][50/63] lr: 1.0000e-04 eta: 18:25:08 time: 0.7970 data_time: 0.0311 memory: 27786 loss: 0.0731 loss_text: 0.0463 loss_kernel: 0.0268 2022/11/01 18:38:15 - mmengine - INFO - Epoch(train) [131][55/63] lr: 1.0000e-04 eta: 18:25:08 time: 0.7926 data_time: 0.0294 memory: 27786 loss: 0.0783 loss_text: 0.0492 loss_kernel: 0.0291 2022/11/01 18:38:19 - mmengine - INFO - Epoch(train) [131][60/63] lr: 1.0000e-04 eta: 18:23:44 time: 0.7833 data_time: 0.0197 memory: 27786 loss: 0.0807 loss_text: 0.0508 loss_kernel: 0.0299 2022/11/01 18:38:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:40:01 - mmengine - INFO - Epoch(train) [132][5/63] lr: 1.0000e-04 eta: 18:23:44 time: 10.3186 data_time: 9.5739 memory: 27786 loss: 0.0843 loss_text: 0.0543 loss_kernel: 0.0300 2022/11/01 18:40:05 - mmengine - INFO - Epoch(train) [132][10/63] lr: 1.0000e-04 eta: 18:28:29 time: 10.3587 data_time: 9.5706 memory: 27786 loss: 0.0691 loss_text: 0.0426 loss_kernel: 0.0265 2022/11/01 18:40:09 - mmengine - INFO - Epoch(train) [132][15/63] lr: 1.0000e-04 eta: 18:28:29 time: 0.7890 data_time: 0.0183 memory: 27786 loss: 0.0745 loss_text: 0.0461 loss_kernel: 0.0284 2022/11/01 18:40:13 - mmengine - INFO - Epoch(train) [132][20/63] lr: 1.0000e-04 eta: 18:27:06 time: 0.8109 data_time: 0.0258 memory: 27786 loss: 0.0846 loss_text: 0.0541 loss_kernel: 0.0305 2022/11/01 18:40:17 - mmengine - INFO - Epoch(train) [132][25/63] lr: 1.0000e-04 eta: 18:27:06 time: 0.8079 data_time: 0.0201 memory: 27786 loss: 0.0941 loss_text: 0.0609 loss_kernel: 0.0332 2022/11/01 18:40:21 - mmengine - INFO - Epoch(train) [132][30/63] lr: 1.0000e-04 eta: 18:25:42 time: 0.7957 data_time: 0.0267 memory: 27786 loss: 0.0834 loss_text: 0.0533 loss_kernel: 0.0300 2022/11/01 18:40:25 - mmengine - INFO - Epoch(train) [132][35/63] lr: 1.0000e-04 eta: 18:25:42 time: 0.7956 data_time: 0.0234 memory: 27786 loss: 0.0734 loss_text: 0.0468 loss_kernel: 0.0266 2022/11/01 18:40:29 - mmengine - INFO - Epoch(train) [132][40/63] lr: 1.0000e-04 eta: 18:24:19 time: 0.7960 data_time: 0.0207 memory: 27786 loss: 0.0741 loss_text: 0.0475 loss_kernel: 0.0265 2022/11/01 18:40:33 - mmengine - INFO - Epoch(train) [132][45/63] lr: 1.0000e-04 eta: 18:24:19 time: 0.8398 data_time: 0.0320 memory: 27786 loss: 0.0696 loss_text: 0.0437 loss_kernel: 0.0259 2022/11/01 18:40:37 - mmengine - INFO - Epoch(train) [132][50/63] lr: 1.0000e-04 eta: 18:22:58 time: 0.8486 data_time: 0.0228 memory: 27786 loss: 0.0731 loss_text: 0.0460 loss_kernel: 0.0271 2022/11/01 18:40:41 - mmengine - INFO - Epoch(train) [132][55/63] lr: 1.0000e-04 eta: 18:22:58 time: 0.8102 data_time: 0.0195 memory: 27786 loss: 0.0799 loss_text: 0.0504 loss_kernel: 0.0295 2022/11/01 18:40:45 - mmengine - INFO - Epoch(train) [132][60/63] lr: 1.0000e-04 eta: 18:21:35 time: 0.7935 data_time: 0.0212 memory: 27786 loss: 0.0752 loss_text: 0.0471 loss_kernel: 0.0281 2022/11/01 18:40:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:42:27 - mmengine - INFO - Epoch(train) [133][5/63] lr: 1.0000e-04 eta: 18:21:35 time: 10.3404 data_time: 9.5901 memory: 27786 loss: 0.0662 loss_text: 0.0407 loss_kernel: 0.0255 2022/11/01 18:42:31 - mmengine - INFO - Epoch(train) [133][10/63] lr: 1.0000e-04 eta: 18:26:17 time: 10.3864 data_time: 9.5923 memory: 27786 loss: 0.0710 loss_text: 0.0444 loss_kernel: 0.0266 2022/11/01 18:42:35 - mmengine - INFO - Epoch(train) [133][15/63] lr: 1.0000e-04 eta: 18:26:17 time: 0.8114 data_time: 0.0259 memory: 27786 loss: 0.0843 loss_text: 0.0531 loss_kernel: 0.0312 2022/11/01 18:42:39 - mmengine - INFO - Epoch(train) [133][20/63] lr: 1.0000e-04 eta: 18:24:55 time: 0.8131 data_time: 0.0302 memory: 27786 loss: 0.0785 loss_text: 0.0497 loss_kernel: 0.0288 2022/11/01 18:42:43 - mmengine - INFO - Epoch(train) [133][25/63] lr: 1.0000e-04 eta: 18:24:55 time: 0.7942 data_time: 0.0220 memory: 27786 loss: 0.0756 loss_text: 0.0484 loss_kernel: 0.0272 2022/11/01 18:42:47 - mmengine - INFO - Epoch(train) [133][30/63] lr: 1.0000e-04 eta: 18:23:32 time: 0.7870 data_time: 0.0245 memory: 27786 loss: 0.0887 loss_text: 0.0569 loss_kernel: 0.0318 2022/11/01 18:42:51 - mmengine - INFO - Epoch(train) [133][35/63] lr: 1.0000e-04 eta: 18:23:32 time: 0.8027 data_time: 0.0296 memory: 27786 loss: 0.0844 loss_text: 0.0535 loss_kernel: 0.0309 2022/11/01 18:42:55 - mmengine - INFO - Epoch(train) [133][40/63] lr: 1.0000e-04 eta: 18:22:10 time: 0.8095 data_time: 0.0264 memory: 27786 loss: 0.0774 loss_text: 0.0484 loss_kernel: 0.0290 2022/11/01 18:42:59 - mmengine - INFO - Epoch(train) [133][45/63] lr: 1.0000e-04 eta: 18:22:10 time: 0.8117 data_time: 0.0324 memory: 27786 loss: 0.0883 loss_text: 0.0567 loss_kernel: 0.0317 2022/11/01 18:43:03 - mmengine - INFO - Epoch(train) [133][50/63] lr: 1.0000e-04 eta: 18:20:47 time: 0.7923 data_time: 0.0283 memory: 27786 loss: 0.0893 loss_text: 0.0581 loss_kernel: 0.0312 2022/11/01 18:43:07 - mmengine - INFO - Epoch(train) [133][55/63] lr: 1.0000e-04 eta: 18:20:47 time: 0.7812 data_time: 0.0235 memory: 27786 loss: 0.0800 loss_text: 0.0507 loss_kernel: 0.0293 2022/11/01 18:43:11 - mmengine - INFO - Epoch(train) [133][60/63] lr: 1.0000e-04 eta: 18:19:24 time: 0.7790 data_time: 0.0219 memory: 27786 loss: 0.0740 loss_text: 0.0457 loss_kernel: 0.0283 2022/11/01 18:43:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:44:54 - mmengine - INFO - Epoch(train) [134][5/63] lr: 1.0000e-04 eta: 18:19:24 time: 10.3843 data_time: 9.6624 memory: 27786 loss: 0.0655 loss_text: 0.0410 loss_kernel: 0.0245 2022/11/01 18:44:58 - mmengine - INFO - Epoch(train) [134][10/63] lr: 1.0000e-04 eta: 18:24:06 time: 10.4479 data_time: 9.6732 memory: 27786 loss: 0.0707 loss_text: 0.0439 loss_kernel: 0.0268 2022/11/01 18:45:02 - mmengine - INFO - Epoch(train) [134][15/63] lr: 1.0000e-04 eta: 18:24:06 time: 0.7951 data_time: 0.0239 memory: 27786 loss: 0.0784 loss_text: 0.0488 loss_kernel: 0.0296 2022/11/01 18:45:06 - mmengine - INFO - Epoch(train) [134][20/63] lr: 1.0000e-04 eta: 18:22:43 time: 0.8054 data_time: 0.0206 memory: 27786 loss: 0.0765 loss_text: 0.0476 loss_kernel: 0.0289 2022/11/01 18:45:10 - mmengine - INFO - Epoch(train) [134][25/63] lr: 1.0000e-04 eta: 18:22:43 time: 0.8126 data_time: 0.0330 memory: 27786 loss: 0.0697 loss_text: 0.0434 loss_kernel: 0.0262 2022/11/01 18:45:14 - mmengine - INFO - Epoch(train) [134][30/63] lr: 1.0000e-04 eta: 18:21:21 time: 0.7890 data_time: 0.0223 memory: 27786 loss: 0.0662 loss_text: 0.0413 loss_kernel: 0.0248 2022/11/01 18:45:17 - mmengine - INFO - Epoch(train) [134][35/63] lr: 1.0000e-04 eta: 18:21:21 time: 0.7831 data_time: 0.0215 memory: 27786 loss: 0.0728 loss_text: 0.0462 loss_kernel: 0.0266 2022/11/01 18:45:21 - mmengine - INFO - Epoch(train) [134][40/63] lr: 1.0000e-04 eta: 18:19:59 time: 0.7940 data_time: 0.0274 memory: 27786 loss: 0.0915 loss_text: 0.0590 loss_kernel: 0.0325 2022/11/01 18:45:25 - mmengine - INFO - Epoch(train) [134][45/63] lr: 1.0000e-04 eta: 18:19:59 time: 0.7942 data_time: 0.0231 memory: 27786 loss: 0.0945 loss_text: 0.0614 loss_kernel: 0.0332 2022/11/01 18:45:29 - mmengine - INFO - Epoch(train) [134][50/63] lr: 1.0000e-04 eta: 18:18:37 time: 0.7943 data_time: 0.0326 memory: 27786 loss: 0.0890 loss_text: 0.0579 loss_kernel: 0.0311 2022/11/01 18:45:33 - mmengine - INFO - Epoch(train) [134][55/63] lr: 1.0000e-04 eta: 18:18:37 time: 0.7814 data_time: 0.0264 memory: 27786 loss: 0.0773 loss_text: 0.0492 loss_kernel: 0.0281 2022/11/01 18:45:37 - mmengine - INFO - Epoch(train) [134][60/63] lr: 1.0000e-04 eta: 18:17:14 time: 0.7731 data_time: 0.0169 memory: 27786 loss: 0.0748 loss_text: 0.0475 loss_kernel: 0.0272 2022/11/01 18:45:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:47:19 - mmengine - INFO - Epoch(train) [135][5/63] lr: 1.0000e-04 eta: 18:17:14 time: 10.3062 data_time: 9.5738 memory: 27786 loss: 0.0801 loss_text: 0.0513 loss_kernel: 0.0288 2022/11/01 18:47:23 - mmengine - INFO - Epoch(train) [135][10/63] lr: 1.0000e-04 eta: 18:21:49 time: 10.3579 data_time: 9.5868 memory: 27786 loss: 0.0760 loss_text: 0.0489 loss_kernel: 0.0272 2022/11/01 18:47:27 - mmengine - INFO - Epoch(train) [135][15/63] lr: 1.0000e-04 eta: 18:21:49 time: 0.8045 data_time: 0.0281 memory: 27786 loss: 0.0743 loss_text: 0.0470 loss_kernel: 0.0273 2022/11/01 18:47:31 - mmengine - INFO - Epoch(train) [135][20/63] lr: 1.0000e-04 eta: 18:20:27 time: 0.7970 data_time: 0.0268 memory: 27786 loss: 0.0674 loss_text: 0.0424 loss_kernel: 0.0249 2022/11/01 18:47:35 - mmengine - INFO - Epoch(train) [135][25/63] lr: 1.0000e-04 eta: 18:20:27 time: 0.7911 data_time: 0.0263 memory: 27786 loss: 0.0654 loss_text: 0.0399 loss_kernel: 0.0255 2022/11/01 18:47:39 - mmengine - INFO - Epoch(train) [135][30/63] lr: 1.0000e-04 eta: 18:19:05 time: 0.7972 data_time: 0.0343 memory: 27786 loss: 0.0675 loss_text: 0.0400 loss_kernel: 0.0275 2022/11/01 18:47:43 - mmengine - INFO - Epoch(train) [135][35/63] lr: 1.0000e-04 eta: 18:19:05 time: 0.8002 data_time: 0.0369 memory: 27786 loss: 0.0758 loss_text: 0.0465 loss_kernel: 0.0293 2022/11/01 18:47:47 - mmengine - INFO - Epoch(train) [135][40/63] lr: 1.0000e-04 eta: 18:17:43 time: 0.7866 data_time: 0.0214 memory: 27786 loss: 0.0946 loss_text: 0.0607 loss_kernel: 0.0339 2022/11/01 18:47:51 - mmengine - INFO - Epoch(train) [135][45/63] lr: 1.0000e-04 eta: 18:17:43 time: 0.7896 data_time: 0.0292 memory: 27786 loss: 0.0950 loss_text: 0.0622 loss_kernel: 0.0328 2022/11/01 18:47:55 - mmengine - INFO - Epoch(train) [135][50/63] lr: 1.0000e-04 eta: 18:16:22 time: 0.7943 data_time: 0.0286 memory: 27786 loss: 0.0950 loss_text: 0.0614 loss_kernel: 0.0336 2022/11/01 18:47:59 - mmengine - INFO - Epoch(train) [135][55/63] lr: 1.0000e-04 eta: 18:16:22 time: 0.7896 data_time: 0.0205 memory: 27786 loss: 0.0920 loss_text: 0.0586 loss_kernel: 0.0334 2022/11/01 18:48:02 - mmengine - INFO - Epoch(train) [135][60/63] lr: 1.0000e-04 eta: 18:15:01 time: 0.7842 data_time: 0.0179 memory: 27786 loss: 0.0734 loss_text: 0.0454 loss_kernel: 0.0280 2022/11/01 18:48:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:49:45 - mmengine - INFO - Epoch(train) [136][5/63] lr: 1.0000e-04 eta: 18:15:01 time: 10.3432 data_time: 9.6031 memory: 27786 loss: 0.0665 loss_text: 0.0416 loss_kernel: 0.0249 2022/11/01 18:49:49 - mmengine - INFO - Epoch(train) [136][10/63] lr: 1.0000e-04 eta: 18:19:34 time: 10.4015 data_time: 9.6206 memory: 27786 loss: 0.0743 loss_text: 0.0469 loss_kernel: 0.0275 2022/11/01 18:49:52 - mmengine - INFO - Epoch(train) [136][15/63] lr: 1.0000e-04 eta: 18:19:34 time: 0.7886 data_time: 0.0313 memory: 27786 loss: 0.0795 loss_text: 0.0503 loss_kernel: 0.0292 2022/11/01 18:49:56 - mmengine - INFO - Epoch(train) [136][20/63] lr: 1.0000e-04 eta: 18:18:12 time: 0.7836 data_time: 0.0173 memory: 27786 loss: 0.0917 loss_text: 0.0592 loss_kernel: 0.0326 2022/11/01 18:50:00 - mmengine - INFO - Epoch(train) [136][25/63] lr: 1.0000e-04 eta: 18:18:12 time: 0.8000 data_time: 0.0334 memory: 27786 loss: 0.0908 loss_text: 0.0587 loss_kernel: 0.0321 2022/11/01 18:50:04 - mmengine - INFO - Epoch(train) [136][30/63] lr: 1.0000e-04 eta: 18:16:50 time: 0.7791 data_time: 0.0248 memory: 27786 loss: 0.0823 loss_text: 0.0534 loss_kernel: 0.0289 2022/11/01 18:50:08 - mmengine - INFO - Epoch(train) [136][35/63] lr: 1.0000e-04 eta: 18:16:50 time: 0.7744 data_time: 0.0230 memory: 27786 loss: 0.0904 loss_text: 0.0595 loss_kernel: 0.0309 2022/11/01 18:50:12 - mmengine - INFO - Epoch(train) [136][40/63] lr: 1.0000e-04 eta: 18:15:29 time: 0.7818 data_time: 0.0268 memory: 27786 loss: 0.0858 loss_text: 0.0561 loss_kernel: 0.0296 2022/11/01 18:50:16 - mmengine - INFO - Epoch(train) [136][45/63] lr: 1.0000e-04 eta: 18:15:29 time: 0.7920 data_time: 0.0213 memory: 27786 loss: 0.0805 loss_text: 0.0522 loss_kernel: 0.0283 2022/11/01 18:50:20 - mmengine - INFO - Epoch(train) [136][50/63] lr: 1.0000e-04 eta: 18:14:08 time: 0.7999 data_time: 0.0294 memory: 27786 loss: 0.0818 loss_text: 0.0527 loss_kernel: 0.0291 2022/11/01 18:50:24 - mmengine - INFO - Epoch(train) [136][55/63] lr: 1.0000e-04 eta: 18:14:08 time: 0.7813 data_time: 0.0240 memory: 27786 loss: 0.0733 loss_text: 0.0462 loss_kernel: 0.0271 2022/11/01 18:50:28 - mmengine - INFO - Epoch(train) [136][60/63] lr: 1.0000e-04 eta: 18:12:47 time: 0.7696 data_time: 0.0145 memory: 27786 loss: 0.0701 loss_text: 0.0437 loss_kernel: 0.0264 2022/11/01 18:50:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:52:09 - mmengine - INFO - Epoch(train) [137][5/63] lr: 1.0000e-04 eta: 18:12:47 time: 10.3103 data_time: 9.5770 memory: 27786 loss: 0.0740 loss_text: 0.0462 loss_kernel: 0.0278 2022/11/01 18:52:13 - mmengine - INFO - Epoch(train) [137][10/63] lr: 1.0000e-04 eta: 18:17:15 time: 10.3699 data_time: 9.5912 memory: 27786 loss: 0.0800 loss_text: 0.0503 loss_kernel: 0.0298 2022/11/01 18:52:18 - mmengine - INFO - Epoch(train) [137][15/63] lr: 1.0000e-04 eta: 18:17:15 time: 0.8123 data_time: 0.0476 memory: 27786 loss: 0.0775 loss_text: 0.0476 loss_kernel: 0.0299 2022/11/01 18:52:21 - mmengine - INFO - Epoch(train) [137][20/63] lr: 1.0000e-04 eta: 18:15:55 time: 0.7933 data_time: 0.0374 memory: 27786 loss: 0.0711 loss_text: 0.0438 loss_kernel: 0.0273 2022/11/01 18:52:25 - mmengine - INFO - Epoch(train) [137][25/63] lr: 1.0000e-04 eta: 18:15:55 time: 0.7917 data_time: 0.0297 memory: 27786 loss: 0.0658 loss_text: 0.0409 loss_kernel: 0.0248 2022/11/01 18:52:29 - mmengine - INFO - Epoch(train) [137][30/63] lr: 1.0000e-04 eta: 18:14:34 time: 0.7964 data_time: 0.0282 memory: 27786 loss: 0.0648 loss_text: 0.0394 loss_kernel: 0.0254 2022/11/01 18:52:33 - mmengine - INFO - Epoch(train) [137][35/63] lr: 1.0000e-04 eta: 18:14:34 time: 0.7962 data_time: 0.0265 memory: 27786 loss: 0.0679 loss_text: 0.0417 loss_kernel: 0.0262 2022/11/01 18:52:37 - mmengine - INFO - Epoch(train) [137][40/63] lr: 1.0000e-04 eta: 18:13:14 time: 0.7913 data_time: 0.0260 memory: 27786 loss: 0.0791 loss_text: 0.0502 loss_kernel: 0.0288 2022/11/01 18:52:41 - mmengine - INFO - Epoch(train) [137][45/63] lr: 1.0000e-04 eta: 18:13:14 time: 0.7885 data_time: 0.0213 memory: 27786 loss: 0.0937 loss_text: 0.0603 loss_kernel: 0.0334 2022/11/01 18:52:45 - mmengine - INFO - Epoch(train) [137][50/63] lr: 1.0000e-04 eta: 18:11:54 time: 0.7934 data_time: 0.0281 memory: 27786 loss: 0.0984 loss_text: 0.0642 loss_kernel: 0.0341 2022/11/01 18:52:49 - mmengine - INFO - Epoch(train) [137][55/63] lr: 1.0000e-04 eta: 18:11:54 time: 0.7938 data_time: 0.0273 memory: 27786 loss: 0.0883 loss_text: 0.0587 loss_kernel: 0.0297 2022/11/01 18:52:53 - mmengine - INFO - Epoch(train) [137][60/63] lr: 1.0000e-04 eta: 18:10:34 time: 0.7994 data_time: 0.0189 memory: 27786 loss: 0.0872 loss_text: 0.0576 loss_kernel: 0.0295 2022/11/01 18:52:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:54:36 - mmengine - INFO - Epoch(train) [138][5/63] lr: 1.0000e-04 eta: 18:10:34 time: 10.4669 data_time: 9.7327 memory: 27786 loss: 0.0832 loss_text: 0.0533 loss_kernel: 0.0298 2022/11/01 18:54:41 - mmengine - INFO - Epoch(train) [138][10/63] lr: 1.0000e-04 eta: 18:15:05 time: 10.5203 data_time: 9.7438 memory: 27786 loss: 0.0739 loss_text: 0.0463 loss_kernel: 0.0276 2022/11/01 18:54:44 - mmengine - INFO - Epoch(train) [138][15/63] lr: 1.0000e-04 eta: 18:15:05 time: 0.7953 data_time: 0.0225 memory: 27786 loss: 0.0829 loss_text: 0.0529 loss_kernel: 0.0300 2022/11/01 18:54:48 - mmengine - INFO - Epoch(train) [138][20/63] lr: 1.0000e-04 eta: 18:13:45 time: 0.7867 data_time: 0.0187 memory: 27786 loss: 0.0908 loss_text: 0.0591 loss_kernel: 0.0317 2022/11/01 18:54:52 - mmengine - INFO - Epoch(train) [138][25/63] lr: 1.0000e-04 eta: 18:13:45 time: 0.7983 data_time: 0.0327 memory: 27786 loss: 0.0834 loss_text: 0.0541 loss_kernel: 0.0293 2022/11/01 18:54:56 - mmengine - INFO - Epoch(train) [138][30/63] lr: 1.0000e-04 eta: 18:12:25 time: 0.7936 data_time: 0.0348 memory: 27786 loss: 0.0853 loss_text: 0.0566 loss_kernel: 0.0287 2022/11/01 18:55:00 - mmengine - INFO - Epoch(train) [138][35/63] lr: 1.0000e-04 eta: 18:12:25 time: 0.7898 data_time: 0.0274 memory: 27786 loss: 0.0957 loss_text: 0.0647 loss_kernel: 0.0310 2022/11/01 18:55:04 - mmengine - INFO - Epoch(train) [138][40/63] lr: 1.0000e-04 eta: 18:11:05 time: 0.7925 data_time: 0.0232 memory: 27786 loss: 0.1111 loss_text: 0.0755 loss_kernel: 0.0356 2022/11/01 18:55:08 - mmengine - INFO - Epoch(train) [138][45/63] lr: 1.0000e-04 eta: 18:11:05 time: 0.7966 data_time: 0.0288 memory: 27786 loss: 0.1104 loss_text: 0.0747 loss_kernel: 0.0357 2022/11/01 18:55:12 - mmengine - INFO - Epoch(train) [138][50/63] lr: 1.0000e-04 eta: 18:09:46 time: 0.7912 data_time: 0.0286 memory: 27786 loss: 0.0980 loss_text: 0.0642 loss_kernel: 0.0337 2022/11/01 18:55:16 - mmengine - INFO - Epoch(train) [138][55/63] lr: 1.0000e-04 eta: 18:09:46 time: 0.7682 data_time: 0.0193 memory: 27786 loss: 0.0957 loss_text: 0.0639 loss_kernel: 0.0318 2022/11/01 18:55:20 - mmengine - INFO - Epoch(train) [138][60/63] lr: 1.0000e-04 eta: 18:08:25 time: 0.7631 data_time: 0.0164 memory: 27786 loss: 0.0950 loss_text: 0.0636 loss_kernel: 0.0314 2022/11/01 18:55:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:57:02 - mmengine - INFO - Epoch(train) [139][5/63] lr: 1.0000e-04 eta: 18:08:25 time: 10.3301 data_time: 9.6078 memory: 27786 loss: 0.0906 loss_text: 0.0595 loss_kernel: 0.0311 2022/11/01 18:57:06 - mmengine - INFO - Epoch(train) [139][10/63] lr: 1.0000e-04 eta: 18:12:48 time: 10.3936 data_time: 9.6236 memory: 27786 loss: 0.0938 loss_text: 0.0625 loss_kernel: 0.0313 2022/11/01 18:57:09 - mmengine - INFO - Epoch(train) [139][15/63] lr: 1.0000e-04 eta: 18:12:48 time: 0.7804 data_time: 0.0292 memory: 27786 loss: 0.1059 loss_text: 0.0725 loss_kernel: 0.0334 2022/11/01 18:57:13 - mmengine - INFO - Epoch(train) [139][20/63] lr: 1.0000e-04 eta: 18:11:28 time: 0.7808 data_time: 0.0227 memory: 27786 loss: 0.1178 loss_text: 0.0811 loss_kernel: 0.0368 2022/11/01 18:57:17 - mmengine - INFO - Epoch(train) [139][25/63] lr: 1.0000e-04 eta: 18:11:28 time: 0.7905 data_time: 0.0251 memory: 27786 loss: 0.1223 loss_text: 0.0841 loss_kernel: 0.0382 2022/11/01 18:57:21 - mmengine - INFO - Epoch(train) [139][30/63] lr: 1.0000e-04 eta: 18:10:08 time: 0.7760 data_time: 0.0178 memory: 27786 loss: 0.1218 loss_text: 0.0840 loss_kernel: 0.0378 2022/11/01 18:57:25 - mmengine - INFO - Epoch(train) [139][35/63] lr: 1.0000e-04 eta: 18:10:08 time: 0.7890 data_time: 0.0191 memory: 27786 loss: 0.1065 loss_text: 0.0716 loss_kernel: 0.0349 2022/11/01 18:57:29 - mmengine - INFO - Epoch(train) [139][40/63] lr: 1.0000e-04 eta: 18:08:49 time: 0.7900 data_time: 0.0210 memory: 27786 loss: 0.0989 loss_text: 0.0645 loss_kernel: 0.0344 2022/11/01 18:57:33 - mmengine - INFO - Epoch(train) [139][45/63] lr: 1.0000e-04 eta: 18:08:49 time: 0.7892 data_time: 0.0243 memory: 27786 loss: 0.0971 loss_text: 0.0636 loss_kernel: 0.0335 2022/11/01 18:57:37 - mmengine - INFO - Epoch(train) [139][50/63] lr: 1.0000e-04 eta: 18:07:30 time: 0.7960 data_time: 0.0256 memory: 27786 loss: 0.0958 loss_text: 0.0642 loss_kernel: 0.0316 2022/11/01 18:57:41 - mmengine - INFO - Epoch(train) [139][55/63] lr: 1.0000e-04 eta: 18:07:30 time: 0.7876 data_time: 0.0193 memory: 27786 loss: 0.1006 loss_text: 0.0677 loss_kernel: 0.0329 2022/11/01 18:57:45 - mmengine - INFO - Epoch(train) [139][60/63] lr: 1.0000e-04 eta: 18:06:11 time: 0.7846 data_time: 0.0196 memory: 27786 loss: 0.1072 loss_text: 0.0716 loss_kernel: 0.0356 2022/11/01 18:57:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 18:59:28 - mmengine - INFO - Epoch(train) [140][5/63] lr: 1.0000e-04 eta: 18:06:11 time: 10.4083 data_time: 9.6716 memory: 27786 loss: 0.0944 loss_text: 0.0625 loss_kernel: 0.0319 2022/11/01 18:59:32 - mmengine - INFO - Epoch(train) [140][10/63] lr: 1.0000e-04 eta: 18:10:35 time: 10.5003 data_time: 9.6957 memory: 27786 loss: 0.0951 loss_text: 0.0622 loss_kernel: 0.0329 2022/11/01 18:59:36 - mmengine - INFO - Epoch(train) [140][15/63] lr: 1.0000e-04 eta: 18:10:35 time: 0.8365 data_time: 0.0346 memory: 27786 loss: 0.0852 loss_text: 0.0545 loss_kernel: 0.0307 2022/11/01 18:59:40 - mmengine - INFO - Epoch(train) [140][20/63] lr: 1.0000e-04 eta: 18:09:18 time: 0.8322 data_time: 0.0244 memory: 27786 loss: 0.0794 loss_text: 0.0505 loss_kernel: 0.0289 2022/11/01 18:59:44 - mmengine - INFO - Epoch(train) [140][25/63] lr: 1.0000e-04 eta: 18:09:18 time: 0.8404 data_time: 0.0395 memory: 27786 loss: 0.0877 loss_text: 0.0553 loss_kernel: 0.0324 2022/11/01 18:59:48 - mmengine - INFO - Epoch(train) [140][30/63] lr: 1.0000e-04 eta: 18:08:00 time: 0.8192 data_time: 0.0217 memory: 27786 loss: 0.0934 loss_text: 0.0602 loss_kernel: 0.0332 2022/11/01 18:59:53 - mmengine - INFO - Epoch(train) [140][35/63] lr: 1.0000e-04 eta: 18:08:00 time: 0.8163 data_time: 0.0227 memory: 27786 loss: 0.0885 loss_text: 0.0583 loss_kernel: 0.0301 2022/11/01 18:59:57 - mmengine - INFO - Epoch(train) [140][40/63] lr: 1.0000e-04 eta: 18:06:43 time: 0.8273 data_time: 0.0279 memory: 27786 loss: 0.0888 loss_text: 0.0585 loss_kernel: 0.0303 2022/11/01 19:00:01 - mmengine - INFO - Epoch(train) [140][45/63] lr: 1.0000e-04 eta: 18:06:43 time: 0.8363 data_time: 0.0229 memory: 27786 loss: 0.0908 loss_text: 0.0592 loss_kernel: 0.0317 2022/11/01 19:00:05 - mmengine - INFO - Epoch(train) [140][50/63] lr: 1.0000e-04 eta: 18:05:26 time: 0.8419 data_time: 0.0401 memory: 27786 loss: 0.0853 loss_text: 0.0550 loss_kernel: 0.0302 2022/11/01 19:00:09 - mmengine - INFO - Epoch(train) [140][55/63] lr: 1.0000e-04 eta: 18:05:26 time: 0.8279 data_time: 0.0325 memory: 27786 loss: 0.0890 loss_text: 0.0578 loss_kernel: 0.0311 2022/11/01 19:00:13 - mmengine - INFO - Epoch(train) [140][60/63] lr: 1.0000e-04 eta: 18:04:08 time: 0.8046 data_time: 0.0162 memory: 27786 loss: 0.0858 loss_text: 0.0561 loss_kernel: 0.0297 2022/11/01 19:00:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:00:15 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/11/01 19:02:00 - mmengine - INFO - Epoch(train) [141][5/63] lr: 1.0000e-04 eta: 18:04:08 time: 10.2961 data_time: 9.5170 memory: 27786 loss: 0.0805 loss_text: 0.0508 loss_kernel: 0.0297 2022/11/01 19:02:04 - mmengine - INFO - Epoch(train) [141][10/63] lr: 1.0000e-04 eta: 18:08:24 time: 10.3718 data_time: 9.5308 memory: 27786 loss: 0.0884 loss_text: 0.0563 loss_kernel: 0.0321 2022/11/01 19:02:08 - mmengine - INFO - Epoch(train) [141][15/63] lr: 1.0000e-04 eta: 18:08:24 time: 0.8412 data_time: 0.0252 memory: 27786 loss: 0.0859 loss_text: 0.0547 loss_kernel: 0.0312 2022/11/01 19:02:13 - mmengine - INFO - Epoch(train) [141][20/63] lr: 1.0000e-04 eta: 18:07:07 time: 0.8149 data_time: 0.0189 memory: 27786 loss: 0.0779 loss_text: 0.0494 loss_kernel: 0.0285 2022/11/01 19:02:17 - mmengine - INFO - Epoch(train) [141][25/63] lr: 1.0000e-04 eta: 18:07:07 time: 0.8242 data_time: 0.0303 memory: 27786 loss: 0.0802 loss_text: 0.0506 loss_kernel: 0.0296 2022/11/01 19:02:21 - mmengine - INFO - Epoch(train) [141][30/63] lr: 1.0000e-04 eta: 18:05:50 time: 0.8303 data_time: 0.0254 memory: 27786 loss: 0.0934 loss_text: 0.0605 loss_kernel: 0.0330 2022/11/01 19:02:25 - mmengine - INFO - Epoch(train) [141][35/63] lr: 1.0000e-04 eta: 18:05:50 time: 0.8398 data_time: 0.0278 memory: 27786 loss: 0.0964 loss_text: 0.0634 loss_kernel: 0.0329 2022/11/01 19:02:29 - mmengine - INFO - Epoch(train) [141][40/63] lr: 1.0000e-04 eta: 18:04:34 time: 0.8303 data_time: 0.0250 memory: 27786 loss: 0.0826 loss_text: 0.0532 loss_kernel: 0.0293 2022/11/01 19:02:33 - mmengine - INFO - Epoch(train) [141][45/63] lr: 1.0000e-04 eta: 18:04:34 time: 0.8269 data_time: 0.0216 memory: 27786 loss: 0.0911 loss_text: 0.0589 loss_kernel: 0.0322 2022/11/01 19:02:37 - mmengine - INFO - Epoch(train) [141][50/63] lr: 1.0000e-04 eta: 18:03:17 time: 0.8265 data_time: 0.0300 memory: 27786 loss: 0.1053 loss_text: 0.0699 loss_kernel: 0.0354 2022/11/01 19:02:42 - mmengine - INFO - Epoch(train) [141][55/63] lr: 1.0000e-04 eta: 18:03:17 time: 0.8187 data_time: 0.0256 memory: 27786 loss: 0.0923 loss_text: 0.0607 loss_kernel: 0.0317 2022/11/01 19:02:46 - mmengine - INFO - Epoch(train) [141][60/63] lr: 1.0000e-04 eta: 18:02:00 time: 0.8169 data_time: 0.0214 memory: 27786 loss: 0.0760 loss_text: 0.0484 loss_kernel: 0.0276 2022/11/01 19:02:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:04:28 - mmengine - INFO - Epoch(train) [142][5/63] lr: 1.0000e-04 eta: 18:02:00 time: 10.3818 data_time: 9.5975 memory: 27786 loss: 0.0701 loss_text: 0.0433 loss_kernel: 0.0268 2022/11/01 19:04:32 - mmengine - INFO - Epoch(train) [142][10/63] lr: 1.0000e-04 eta: 18:06:16 time: 10.4496 data_time: 9.6071 memory: 27786 loss: 0.0713 loss_text: 0.0450 loss_kernel: 0.0263 2022/11/01 19:04:36 - mmengine - INFO - Epoch(train) [142][15/63] lr: 1.0000e-04 eta: 18:06:16 time: 0.8382 data_time: 0.0291 memory: 27786 loss: 0.0696 loss_text: 0.0438 loss_kernel: 0.0258 2022/11/01 19:04:40 - mmengine - INFO - Epoch(train) [142][20/63] lr: 1.0000e-04 eta: 18:05:00 time: 0.8378 data_time: 0.0300 memory: 27786 loss: 0.0800 loss_text: 0.0512 loss_kernel: 0.0288 2022/11/01 19:04:45 - mmengine - INFO - Epoch(train) [142][25/63] lr: 1.0000e-04 eta: 18:05:00 time: 0.8434 data_time: 0.0288 memory: 27786 loss: 0.0865 loss_text: 0.0558 loss_kernel: 0.0308 2022/11/01 19:04:49 - mmengine - INFO - Epoch(train) [142][30/63] lr: 1.0000e-04 eta: 18:03:44 time: 0.8305 data_time: 0.0234 memory: 27786 loss: 0.0792 loss_text: 0.0503 loss_kernel: 0.0289 2022/11/01 19:04:53 - mmengine - INFO - Epoch(train) [142][35/63] lr: 1.0000e-04 eta: 18:03:44 time: 0.8289 data_time: 0.0244 memory: 27786 loss: 0.0761 loss_text: 0.0482 loss_kernel: 0.0279 2022/11/01 19:04:57 - mmengine - INFO - Epoch(train) [142][40/63] lr: 1.0000e-04 eta: 18:02:28 time: 0.8191 data_time: 0.0218 memory: 27786 loss: 0.0876 loss_text: 0.0566 loss_kernel: 0.0310 2022/11/01 19:05:01 - mmengine - INFO - Epoch(train) [142][45/63] lr: 1.0000e-04 eta: 18:02:28 time: 0.8266 data_time: 0.0294 memory: 27786 loss: 0.0843 loss_text: 0.0539 loss_kernel: 0.0304 2022/11/01 19:05:05 - mmengine - INFO - Epoch(train) [142][50/63] lr: 1.0000e-04 eta: 18:01:12 time: 0.8342 data_time: 0.0322 memory: 27786 loss: 0.0697 loss_text: 0.0435 loss_kernel: 0.0262 2022/11/01 19:05:09 - mmengine - INFO - Epoch(train) [142][55/63] lr: 1.0000e-04 eta: 18:01:12 time: 0.8247 data_time: 0.0250 memory: 27786 loss: 0.0658 loss_text: 0.0411 loss_kernel: 0.0248 2022/11/01 19:05:14 - mmengine - INFO - Epoch(train) [142][60/63] lr: 1.0000e-04 eta: 17:59:56 time: 0.8201 data_time: 0.0251 memory: 27786 loss: 0.0675 loss_text: 0.0418 loss_kernel: 0.0257 2022/11/01 19:05:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:06:56 - mmengine - INFO - Epoch(train) [143][5/63] lr: 1.0000e-04 eta: 17:59:56 time: 10.3673 data_time: 9.6069 memory: 27786 loss: 0.0799 loss_text: 0.0503 loss_kernel: 0.0297 2022/11/01 19:07:00 - mmengine - INFO - Epoch(train) [143][10/63] lr: 1.0000e-04 eta: 18:04:08 time: 10.4176 data_time: 9.6096 memory: 27786 loss: 0.0792 loss_text: 0.0505 loss_kernel: 0.0288 2022/11/01 19:07:04 - mmengine - INFO - Epoch(train) [143][15/63] lr: 1.0000e-04 eta: 18:04:08 time: 0.8269 data_time: 0.0230 memory: 27786 loss: 0.0705 loss_text: 0.0442 loss_kernel: 0.0264 2022/11/01 19:07:08 - mmengine - INFO - Epoch(train) [143][20/63] lr: 1.0000e-04 eta: 18:02:51 time: 0.8215 data_time: 0.0236 memory: 27786 loss: 0.0763 loss_text: 0.0482 loss_kernel: 0.0281 2022/11/01 19:07:12 - mmengine - INFO - Epoch(train) [143][25/63] lr: 1.0000e-04 eta: 18:02:51 time: 0.8150 data_time: 0.0306 memory: 27786 loss: 0.0748 loss_text: 0.0468 loss_kernel: 0.0280 2022/11/01 19:07:16 - mmengine - INFO - Epoch(train) [143][30/63] lr: 1.0000e-04 eta: 18:01:35 time: 0.8112 data_time: 0.0306 memory: 27786 loss: 0.0670 loss_text: 0.0421 loss_kernel: 0.0249 2022/11/01 19:07:20 - mmengine - INFO - Epoch(train) [143][35/63] lr: 1.0000e-04 eta: 18:01:35 time: 0.8057 data_time: 0.0215 memory: 27786 loss: 0.0730 loss_text: 0.0463 loss_kernel: 0.0267 2022/11/01 19:07:24 - mmengine - INFO - Epoch(train) [143][40/63] lr: 1.0000e-04 eta: 18:00:18 time: 0.7919 data_time: 0.0191 memory: 27786 loss: 0.0727 loss_text: 0.0451 loss_kernel: 0.0276 2022/11/01 19:07:28 - mmengine - INFO - Epoch(train) [143][45/63] lr: 1.0000e-04 eta: 18:00:18 time: 0.8077 data_time: 0.0266 memory: 27786 loss: 0.0627 loss_text: 0.0378 loss_kernel: 0.0249 2022/11/01 19:07:32 - mmengine - INFO - Epoch(train) [143][50/63] lr: 1.0000e-04 eta: 17:59:02 time: 0.8155 data_time: 0.0283 memory: 27786 loss: 0.0619 loss_text: 0.0376 loss_kernel: 0.0244 2022/11/01 19:07:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:07:36 - mmengine - INFO - Epoch(train) [143][55/63] lr: 1.0000e-04 eta: 17:59:02 time: 0.8017 data_time: 0.0203 memory: 27786 loss: 0.0733 loss_text: 0.0456 loss_kernel: 0.0277 2022/11/01 19:07:40 - mmengine - INFO - Epoch(train) [143][60/63] lr: 1.0000e-04 eta: 17:57:46 time: 0.7997 data_time: 0.0172 memory: 27786 loss: 0.0765 loss_text: 0.0483 loss_kernel: 0.0282 2022/11/01 19:07:42 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:09:24 - mmengine - INFO - Epoch(train) [144][5/63] lr: 1.0000e-04 eta: 17:57:46 time: 10.5209 data_time: 9.7442 memory: 27786 loss: 0.0704 loss_text: 0.0438 loss_kernel: 0.0266 2022/11/01 19:09:28 - mmengine - INFO - Epoch(train) [144][10/63] lr: 1.0000e-04 eta: 18:02:01 time: 10.5881 data_time: 9.7460 memory: 27786 loss: 0.0737 loss_text: 0.0456 loss_kernel: 0.0280 2022/11/01 19:09:32 - mmengine - INFO - Epoch(train) [144][15/63] lr: 1.0000e-04 eta: 18:02:01 time: 0.8305 data_time: 0.0127 memory: 27786 loss: 0.0777 loss_text: 0.0483 loss_kernel: 0.0294 2022/11/01 19:09:36 - mmengine - INFO - Epoch(train) [144][20/63] lr: 1.0000e-04 eta: 18:00:45 time: 0.8225 data_time: 0.0190 memory: 27786 loss: 0.0853 loss_text: 0.0547 loss_kernel: 0.0306 2022/11/01 19:09:41 - mmengine - INFO - Epoch(train) [144][25/63] lr: 1.0000e-04 eta: 18:00:45 time: 0.8253 data_time: 0.0317 memory: 27786 loss: 0.0759 loss_text: 0.0477 loss_kernel: 0.0282 2022/11/01 19:09:45 - mmengine - INFO - Epoch(train) [144][30/63] lr: 1.0000e-04 eta: 17:59:29 time: 0.8086 data_time: 0.0224 memory: 27786 loss: 0.0774 loss_text: 0.0485 loss_kernel: 0.0289 2022/11/01 19:09:49 - mmengine - INFO - Epoch(train) [144][35/63] lr: 1.0000e-04 eta: 17:59:29 time: 0.8184 data_time: 0.0206 memory: 27786 loss: 0.0827 loss_text: 0.0529 loss_kernel: 0.0298 2022/11/01 19:09:53 - mmengine - INFO - Epoch(train) [144][40/63] lr: 1.0000e-04 eta: 17:58:15 time: 0.8311 data_time: 0.0266 memory: 27786 loss: 0.0727 loss_text: 0.0450 loss_kernel: 0.0277 2022/11/01 19:09:57 - mmengine - INFO - Epoch(train) [144][45/63] lr: 1.0000e-04 eta: 17:58:15 time: 0.8201 data_time: 0.0213 memory: 27786 loss: 0.0810 loss_text: 0.0510 loss_kernel: 0.0300 2022/11/01 19:10:01 - mmengine - INFO - Epoch(train) [144][50/63] lr: 1.0000e-04 eta: 17:57:00 time: 0.8264 data_time: 0.0249 memory: 27786 loss: 0.0861 loss_text: 0.0558 loss_kernel: 0.0303 2022/11/01 19:10:05 - mmengine - INFO - Epoch(train) [144][55/63] lr: 1.0000e-04 eta: 17:57:00 time: 0.8256 data_time: 0.0242 memory: 27786 loss: 0.0670 loss_text: 0.0418 loss_kernel: 0.0253 2022/11/01 19:10:09 - mmengine - INFO - Epoch(train) [144][60/63] lr: 1.0000e-04 eta: 17:55:44 time: 0.8125 data_time: 0.0197 memory: 27786 loss: 0.0619 loss_text: 0.0376 loss_kernel: 0.0243 2022/11/01 19:10:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:11:53 - mmengine - INFO - Epoch(train) [145][5/63] lr: 1.0000e-04 eta: 17:55:44 time: 10.4819 data_time: 9.7192 memory: 27786 loss: 0.0774 loss_text: 0.0492 loss_kernel: 0.0281 2022/11/01 19:11:57 - mmengine - INFO - Epoch(train) [145][10/63] lr: 1.0000e-04 eta: 17:59:55 time: 10.5504 data_time: 9.7453 memory: 27786 loss: 0.0826 loss_text: 0.0535 loss_kernel: 0.0292 2022/11/01 19:12:01 - mmengine - INFO - Epoch(train) [145][15/63] lr: 1.0000e-04 eta: 17:59:55 time: 0.8302 data_time: 0.0353 memory: 27786 loss: 0.0772 loss_text: 0.0484 loss_kernel: 0.0289 2022/11/01 19:12:05 - mmengine - INFO - Epoch(train) [145][20/63] lr: 1.0000e-04 eta: 17:58:40 time: 0.8123 data_time: 0.0182 memory: 27786 loss: 0.0718 loss_text: 0.0442 loss_kernel: 0.0277 2022/11/01 19:12:09 - mmengine - INFO - Epoch(train) [145][25/63] lr: 1.0000e-04 eta: 17:58:40 time: 0.8166 data_time: 0.0362 memory: 27786 loss: 0.0693 loss_text: 0.0435 loss_kernel: 0.0258 2022/11/01 19:12:13 - mmengine - INFO - Epoch(train) [145][30/63] lr: 1.0000e-04 eta: 17:57:24 time: 0.8113 data_time: 0.0253 memory: 27786 loss: 0.0729 loss_text: 0.0470 loss_kernel: 0.0259 2022/11/01 19:12:17 - mmengine - INFO - Epoch(train) [145][35/63] lr: 1.0000e-04 eta: 17:57:24 time: 0.8223 data_time: 0.0260 memory: 27786 loss: 0.0755 loss_text: 0.0488 loss_kernel: 0.0267 2022/11/01 19:12:21 - mmengine - INFO - Epoch(train) [145][40/63] lr: 1.0000e-04 eta: 17:56:10 time: 0.8350 data_time: 0.0331 memory: 27786 loss: 0.0716 loss_text: 0.0453 loss_kernel: 0.0263 2022/11/01 19:12:26 - mmengine - INFO - Epoch(train) [145][45/63] lr: 1.0000e-04 eta: 17:56:10 time: 0.8328 data_time: 0.0264 memory: 27786 loss: 0.0678 loss_text: 0.0424 loss_kernel: 0.0253 2022/11/01 19:12:30 - mmengine - INFO - Epoch(train) [145][50/63] lr: 1.0000e-04 eta: 17:54:55 time: 0.8223 data_time: 0.0336 memory: 27786 loss: 0.0753 loss_text: 0.0484 loss_kernel: 0.0269 2022/11/01 19:12:34 - mmengine - INFO - Epoch(train) [145][55/63] lr: 1.0000e-04 eta: 17:54:55 time: 0.8143 data_time: 0.0273 memory: 27786 loss: 0.0792 loss_text: 0.0503 loss_kernel: 0.0289 2022/11/01 19:12:38 - mmengine - INFO - Epoch(train) [145][60/63] lr: 1.0000e-04 eta: 17:53:41 time: 0.8118 data_time: 0.0161 memory: 27786 loss: 0.0784 loss_text: 0.0490 loss_kernel: 0.0294 2022/11/01 19:12:40 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:14:20 - mmengine - INFO - Epoch(train) [146][5/63] lr: 1.0000e-04 eta: 17:53:41 time: 10.4069 data_time: 9.6344 memory: 27786 loss: 0.0645 loss_text: 0.0394 loss_kernel: 0.0250 2022/11/01 19:14:25 - mmengine - INFO - Epoch(train) [146][10/63] lr: 1.0000e-04 eta: 17:57:45 time: 10.4633 data_time: 9.6466 memory: 27786 loss: 0.0670 loss_text: 0.0405 loss_kernel: 0.0265 2022/11/01 19:14:29 - mmengine - INFO - Epoch(train) [146][15/63] lr: 1.0000e-04 eta: 17:57:45 time: 0.8230 data_time: 0.0275 memory: 27786 loss: 0.0674 loss_text: 0.0409 loss_kernel: 0.0264 2022/11/01 19:14:33 - mmengine - INFO - Epoch(train) [146][20/63] lr: 1.0000e-04 eta: 17:56:31 time: 0.8274 data_time: 0.0319 memory: 27786 loss: 0.0715 loss_text: 0.0445 loss_kernel: 0.0271 2022/11/01 19:14:37 - mmengine - INFO - Epoch(train) [146][25/63] lr: 1.0000e-04 eta: 17:56:31 time: 0.8351 data_time: 0.0288 memory: 27786 loss: 0.0723 loss_text: 0.0444 loss_kernel: 0.0279 2022/11/01 19:14:41 - mmengine - INFO - Epoch(train) [146][30/63] lr: 1.0000e-04 eta: 17:55:17 time: 0.8287 data_time: 0.0228 memory: 27786 loss: 0.0645 loss_text: 0.0390 loss_kernel: 0.0255 2022/11/01 19:14:45 - mmengine - INFO - Epoch(train) [146][35/63] lr: 1.0000e-04 eta: 17:55:17 time: 0.8284 data_time: 0.0298 memory: 27786 loss: 0.0698 loss_text: 0.0432 loss_kernel: 0.0265 2022/11/01 19:14:49 - mmengine - INFO - Epoch(train) [146][40/63] lr: 1.0000e-04 eta: 17:54:03 time: 0.8306 data_time: 0.0261 memory: 27786 loss: 0.0768 loss_text: 0.0488 loss_kernel: 0.0280 2022/11/01 19:14:54 - mmengine - INFO - Epoch(train) [146][45/63] lr: 1.0000e-04 eta: 17:54:03 time: 0.8322 data_time: 0.0229 memory: 27786 loss: 0.0696 loss_text: 0.0440 loss_kernel: 0.0256 2022/11/01 19:14:58 - mmengine - INFO - Epoch(train) [146][50/63] lr: 1.0000e-04 eta: 17:52:49 time: 0.8348 data_time: 0.0290 memory: 27786 loss: 0.0635 loss_text: 0.0392 loss_kernel: 0.0243 2022/11/01 19:15:02 - mmengine - INFO - Epoch(train) [146][55/63] lr: 1.0000e-04 eta: 17:52:49 time: 0.8252 data_time: 0.0301 memory: 27786 loss: 0.0733 loss_text: 0.0463 loss_kernel: 0.0270 2022/11/01 19:15:06 - mmengine - INFO - Epoch(train) [146][60/63] lr: 1.0000e-04 eta: 17:51:35 time: 0.8168 data_time: 0.0220 memory: 27786 loss: 0.0880 loss_text: 0.0568 loss_kernel: 0.0312 2022/11/01 19:15:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:16:48 - mmengine - INFO - Epoch(train) [147][5/63] lr: 1.0000e-04 eta: 17:51:35 time: 10.3754 data_time: 9.5960 memory: 27786 loss: 0.0820 loss_text: 0.0522 loss_kernel: 0.0298 2022/11/01 19:16:52 - mmengine - INFO - Epoch(train) [147][10/63] lr: 1.0000e-04 eta: 17:55:36 time: 10.4294 data_time: 9.6065 memory: 27786 loss: 0.0811 loss_text: 0.0505 loss_kernel: 0.0306 2022/11/01 19:16:57 - mmengine - INFO - Epoch(train) [147][15/63] lr: 1.0000e-04 eta: 17:55:36 time: 0.8474 data_time: 0.0281 memory: 27786 loss: 0.0714 loss_text: 0.0441 loss_kernel: 0.0273 2022/11/01 19:17:01 - mmengine - INFO - Epoch(train) [147][20/63] lr: 1.0000e-04 eta: 17:54:22 time: 0.8281 data_time: 0.0265 memory: 27786 loss: 0.0596 loss_text: 0.0364 loss_kernel: 0.0232 2022/11/01 19:17:05 - mmengine - INFO - Epoch(train) [147][25/63] lr: 1.0000e-04 eta: 17:54:22 time: 0.8449 data_time: 0.0316 memory: 27786 loss: 0.0604 loss_text: 0.0368 loss_kernel: 0.0235 2022/11/01 19:17:09 - mmengine - INFO - Epoch(train) [147][30/63] lr: 1.0000e-04 eta: 17:53:09 time: 0.8425 data_time: 0.0253 memory: 27786 loss: 0.0622 loss_text: 0.0379 loss_kernel: 0.0244 2022/11/01 19:17:13 - mmengine - INFO - Epoch(train) [147][35/63] lr: 1.0000e-04 eta: 17:53:09 time: 0.8168 data_time: 0.0214 memory: 27786 loss: 0.0633 loss_text: 0.0385 loss_kernel: 0.0248 2022/11/01 19:17:17 - mmengine - INFO - Epoch(train) [147][40/63] lr: 1.0000e-04 eta: 17:51:55 time: 0.8104 data_time: 0.0238 memory: 27786 loss: 0.0746 loss_text: 0.0471 loss_kernel: 0.0274 2022/11/01 19:17:21 - mmengine - INFO - Epoch(train) [147][45/63] lr: 1.0000e-04 eta: 17:51:55 time: 0.8170 data_time: 0.0322 memory: 27786 loss: 0.0755 loss_text: 0.0476 loss_kernel: 0.0279 2022/11/01 19:17:26 - mmengine - INFO - Epoch(train) [147][50/63] lr: 1.0000e-04 eta: 17:50:41 time: 0.8215 data_time: 0.0278 memory: 27786 loss: 0.0639 loss_text: 0.0380 loss_kernel: 0.0259 2022/11/01 19:17:29 - mmengine - INFO - Epoch(train) [147][55/63] lr: 1.0000e-04 eta: 17:50:41 time: 0.7979 data_time: 0.0186 memory: 27786 loss: 0.0615 loss_text: 0.0365 loss_kernel: 0.0249 2022/11/01 19:17:34 - mmengine - INFO - Epoch(train) [147][60/63] lr: 1.0000e-04 eta: 17:49:27 time: 0.7977 data_time: 0.0224 memory: 27786 loss: 0.0670 loss_text: 0.0415 loss_kernel: 0.0255 2022/11/01 19:17:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:19:16 - mmengine - INFO - Epoch(train) [148][5/63] lr: 1.0000e-04 eta: 17:49:27 time: 10.3911 data_time: 9.6274 memory: 27786 loss: 0.0756 loss_text: 0.0472 loss_kernel: 0.0284 2022/11/01 19:19:20 - mmengine - INFO - Epoch(train) [148][10/63] lr: 1.0000e-04 eta: 17:53:25 time: 10.4512 data_time: 9.6353 memory: 27786 loss: 0.0777 loss_text: 0.0485 loss_kernel: 0.0292 2022/11/01 19:19:24 - mmengine - INFO - Epoch(train) [148][15/63] lr: 1.0000e-04 eta: 17:53:25 time: 0.8424 data_time: 0.0268 memory: 27786 loss: 0.0665 loss_text: 0.0408 loss_kernel: 0.0258 2022/11/01 19:19:29 - mmengine - INFO - Epoch(train) [148][20/63] lr: 1.0000e-04 eta: 17:52:13 time: 0.8455 data_time: 0.0357 memory: 27786 loss: 0.0674 loss_text: 0.0419 loss_kernel: 0.0256 2022/11/01 19:19:33 - mmengine - INFO - Epoch(train) [148][25/63] lr: 1.0000e-04 eta: 17:52:13 time: 0.8336 data_time: 0.0371 memory: 27786 loss: 0.0685 loss_text: 0.0427 loss_kernel: 0.0258 2022/11/01 19:19:37 - mmengine - INFO - Epoch(train) [148][30/63] lr: 1.0000e-04 eta: 17:50:58 time: 0.8014 data_time: 0.0214 memory: 27786 loss: 0.0630 loss_text: 0.0387 loss_kernel: 0.0244 2022/11/01 19:19:41 - mmengine - INFO - Epoch(train) [148][35/63] lr: 1.0000e-04 eta: 17:50:58 time: 0.8250 data_time: 0.0226 memory: 27786 loss: 0.0668 loss_text: 0.0417 loss_kernel: 0.0251 2022/11/01 19:19:45 - mmengine - INFO - Epoch(train) [148][40/63] lr: 1.0000e-04 eta: 17:49:45 time: 0.8301 data_time: 0.0234 memory: 27786 loss: 0.0674 loss_text: 0.0424 loss_kernel: 0.0249 2022/11/01 19:19:49 - mmengine - INFO - Epoch(train) [148][45/63] lr: 1.0000e-04 eta: 17:49:45 time: 0.8083 data_time: 0.0249 memory: 27786 loss: 0.0639 loss_text: 0.0389 loss_kernel: 0.0250 2022/11/01 19:19:53 - mmengine - INFO - Epoch(train) [148][50/63] lr: 1.0000e-04 eta: 17:48:31 time: 0.7976 data_time: 0.0267 memory: 27786 loss: 0.0692 loss_text: 0.0429 loss_kernel: 0.0263 2022/11/01 19:19:57 - mmengine - INFO - Epoch(train) [148][55/63] lr: 1.0000e-04 eta: 17:48:31 time: 0.8059 data_time: 0.0195 memory: 27786 loss: 0.0733 loss_text: 0.0467 loss_kernel: 0.0266 2022/11/01 19:20:01 - mmengine - INFO - Epoch(train) [148][60/63] lr: 1.0000e-04 eta: 17:47:18 time: 0.8204 data_time: 0.0246 memory: 27786 loss: 0.0708 loss_text: 0.0444 loss_kernel: 0.0264 2022/11/01 19:20:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:21:44 - mmengine - INFO - Epoch(train) [149][5/63] lr: 1.0000e-04 eta: 17:47:18 time: 10.4204 data_time: 9.6721 memory: 27786 loss: 0.0710 loss_text: 0.0438 loss_kernel: 0.0272 2022/11/01 19:21:48 - mmengine - INFO - Epoch(train) [149][10/63] lr: 1.0000e-04 eta: 17:51:16 time: 10.4936 data_time: 9.7022 memory: 27786 loss: 0.0697 loss_text: 0.0432 loss_kernel: 0.0265 2022/11/01 19:21:52 - mmengine - INFO - Epoch(train) [149][15/63] lr: 1.0000e-04 eta: 17:51:16 time: 0.8321 data_time: 0.0391 memory: 27786 loss: 0.0768 loss_text: 0.0480 loss_kernel: 0.0288 2022/11/01 19:21:56 - mmengine - INFO - Epoch(train) [149][20/63] lr: 1.0000e-04 eta: 17:50:02 time: 0.8011 data_time: 0.0170 memory: 27786 loss: 0.0755 loss_text: 0.0471 loss_kernel: 0.0285 2022/11/01 19:22:00 - mmengine - INFO - Epoch(train) [149][25/63] lr: 1.0000e-04 eta: 17:50:02 time: 0.8124 data_time: 0.0306 memory: 27786 loss: 0.0710 loss_text: 0.0443 loss_kernel: 0.0266 2022/11/01 19:22:04 - mmengine - INFO - Epoch(train) [149][30/63] lr: 1.0000e-04 eta: 17:48:49 time: 0.8030 data_time: 0.0225 memory: 27786 loss: 0.0688 loss_text: 0.0429 loss_kernel: 0.0259 2022/11/01 19:22:08 - mmengine - INFO - Epoch(train) [149][35/63] lr: 1.0000e-04 eta: 17:48:49 time: 0.8140 data_time: 0.0199 memory: 27786 loss: 0.0671 loss_text: 0.0416 loss_kernel: 0.0256 2022/11/01 19:22:12 - mmengine - INFO - Epoch(train) [149][40/63] lr: 1.0000e-04 eta: 17:47:36 time: 0.8248 data_time: 0.0207 memory: 27786 loss: 0.0744 loss_text: 0.0470 loss_kernel: 0.0274 2022/11/01 19:22:17 - mmengine - INFO - Epoch(train) [149][45/63] lr: 1.0000e-04 eta: 17:47:36 time: 0.8091 data_time: 0.0220 memory: 27786 loss: 0.0750 loss_text: 0.0453 loss_kernel: 0.0297 2022/11/01 19:22:21 - mmengine - INFO - Epoch(train) [149][50/63] lr: 1.0000e-04 eta: 17:46:23 time: 0.8209 data_time: 0.0313 memory: 27786 loss: 0.0706 loss_text: 0.0411 loss_kernel: 0.0295 2022/11/01 19:22:25 - mmengine - INFO - Epoch(train) [149][55/63] lr: 1.0000e-04 eta: 17:46:23 time: 0.8112 data_time: 0.0250 memory: 27786 loss: 0.0657 loss_text: 0.0389 loss_kernel: 0.0268 2022/11/01 19:22:29 - mmengine - INFO - Epoch(train) [149][60/63] lr: 1.0000e-04 eta: 17:45:10 time: 0.7945 data_time: 0.0192 memory: 27786 loss: 0.0722 loss_text: 0.0437 loss_kernel: 0.0285 2022/11/01 19:22:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:24:10 - mmengine - INFO - Epoch(train) [150][5/63] lr: 1.0000e-04 eta: 17:45:10 time: 10.3105 data_time: 9.5387 memory: 27786 loss: 0.0726 loss_text: 0.0452 loss_kernel: 0.0274 2022/11/01 19:24:15 - mmengine - INFO - Epoch(train) [150][10/63] lr: 1.0000e-04 eta: 17:49:01 time: 10.3760 data_time: 9.5556 memory: 27786 loss: 0.0668 loss_text: 0.0414 loss_kernel: 0.0254 2022/11/01 19:24:19 - mmengine - INFO - Epoch(train) [150][15/63] lr: 1.0000e-04 eta: 17:49:01 time: 0.8348 data_time: 0.0369 memory: 27786 loss: 0.0598 loss_text: 0.0356 loss_kernel: 0.0243 2022/11/01 19:24:23 - mmengine - INFO - Epoch(train) [150][20/63] lr: 1.0000e-04 eta: 17:47:48 time: 0.8287 data_time: 0.0351 memory: 27786 loss: 0.0631 loss_text: 0.0372 loss_kernel: 0.0258 2022/11/01 19:24:27 - mmengine - INFO - Epoch(train) [150][25/63] lr: 1.0000e-04 eta: 17:47:48 time: 0.8395 data_time: 0.0262 memory: 27786 loss: 0.0751 loss_text: 0.0465 loss_kernel: 0.0286 2022/11/01 19:24:31 - mmengine - INFO - Epoch(train) [150][30/63] lr: 1.0000e-04 eta: 17:46:36 time: 0.8345 data_time: 0.0190 memory: 27786 loss: 0.0792 loss_text: 0.0501 loss_kernel: 0.0291 2022/11/01 19:24:35 - mmengine - INFO - Epoch(train) [150][35/63] lr: 1.0000e-04 eta: 17:46:36 time: 0.8237 data_time: 0.0286 memory: 27786 loss: 0.0680 loss_text: 0.0423 loss_kernel: 0.0257 2022/11/01 19:24:39 - mmengine - INFO - Epoch(train) [150][40/63] lr: 1.0000e-04 eta: 17:45:23 time: 0.7998 data_time: 0.0223 memory: 27786 loss: 0.0770 loss_text: 0.0488 loss_kernel: 0.0281 2022/11/01 19:24:43 - mmengine - INFO - Epoch(train) [150][45/63] lr: 1.0000e-04 eta: 17:45:23 time: 0.7953 data_time: 0.0198 memory: 27786 loss: 0.0799 loss_text: 0.0504 loss_kernel: 0.0295 2022/11/01 19:24:47 - mmengine - INFO - Epoch(train) [150][50/63] lr: 1.0000e-04 eta: 17:44:11 time: 0.8152 data_time: 0.0240 memory: 27786 loss: 0.0787 loss_text: 0.0496 loss_kernel: 0.0291 2022/11/01 19:24:51 - mmengine - INFO - Epoch(train) [150][55/63] lr: 1.0000e-04 eta: 17:44:11 time: 0.8156 data_time: 0.0226 memory: 27786 loss: 0.0733 loss_text: 0.0463 loss_kernel: 0.0270 2022/11/01 19:24:55 - mmengine - INFO - Epoch(train) [150][60/63] lr: 1.0000e-04 eta: 17:42:58 time: 0.8120 data_time: 0.0231 memory: 27786 loss: 0.0653 loss_text: 0.0402 loss_kernel: 0.0251 2022/11/01 19:24:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:26:38 - mmengine - INFO - Epoch(train) [151][5/63] lr: 1.0000e-04 eta: 17:42:58 time: 10.4070 data_time: 9.6252 memory: 27786 loss: 0.0638 loss_text: 0.0388 loss_kernel: 0.0250 2022/11/01 19:26:42 - mmengine - INFO - Epoch(train) [151][10/63] lr: 1.0000e-04 eta: 17:46:50 time: 10.4720 data_time: 9.6431 memory: 27786 loss: 0.0716 loss_text: 0.0434 loss_kernel: 0.0282 2022/11/01 19:26:47 - mmengine - INFO - Epoch(train) [151][15/63] lr: 1.0000e-04 eta: 17:46:50 time: 0.8590 data_time: 0.0356 memory: 27786 loss: 0.0777 loss_text: 0.0474 loss_kernel: 0.0303 2022/11/01 19:26:51 - mmengine - INFO - Epoch(train) [151][20/63] lr: 1.0000e-04 eta: 17:45:38 time: 0.8262 data_time: 0.0225 memory: 27786 loss: 0.0882 loss_text: 0.0558 loss_kernel: 0.0324 2022/11/01 19:26:55 - mmengine - INFO - Epoch(train) [151][25/63] lr: 1.0000e-04 eta: 17:45:38 time: 0.8261 data_time: 0.0275 memory: 27786 loss: 0.0766 loss_text: 0.0484 loss_kernel: 0.0282 2022/11/01 19:26:59 - mmengine - INFO - Epoch(train) [151][30/63] lr: 1.0000e-04 eta: 17:44:26 time: 0.8197 data_time: 0.0228 memory: 27786 loss: 0.0592 loss_text: 0.0361 loss_kernel: 0.0231 2022/11/01 19:27:03 - mmengine - INFO - Epoch(train) [151][35/63] lr: 1.0000e-04 eta: 17:44:26 time: 0.8310 data_time: 0.0320 memory: 27786 loss: 0.0628 loss_text: 0.0388 loss_kernel: 0.0240 2022/11/01 19:27:07 - mmengine - INFO - Epoch(train) [151][40/63] lr: 1.0000e-04 eta: 17:43:14 time: 0.8154 data_time: 0.0257 memory: 27786 loss: 0.0735 loss_text: 0.0465 loss_kernel: 0.0270 2022/11/01 19:27:11 - mmengine - INFO - Epoch(train) [151][45/63] lr: 1.0000e-04 eta: 17:43:14 time: 0.8070 data_time: 0.0206 memory: 27786 loss: 0.0738 loss_text: 0.0468 loss_kernel: 0.0271 2022/11/01 19:27:15 - mmengine - INFO - Epoch(train) [151][50/63] lr: 1.0000e-04 eta: 17:42:02 time: 0.8260 data_time: 0.0338 memory: 27786 loss: 0.0742 loss_text: 0.0473 loss_kernel: 0.0268 2022/11/01 19:27:19 - mmengine - INFO - Epoch(train) [151][55/63] lr: 1.0000e-04 eta: 17:42:02 time: 0.8046 data_time: 0.0247 memory: 27786 loss: 0.0741 loss_text: 0.0474 loss_kernel: 0.0267 2022/11/01 19:27:23 - mmengine - INFO - Epoch(train) [151][60/63] lr: 1.0000e-04 eta: 17:40:50 time: 0.8022 data_time: 0.0170 memory: 27786 loss: 0.0777 loss_text: 0.0491 loss_kernel: 0.0287 2022/11/01 19:27:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:29:05 - mmengine - INFO - Epoch(train) [152][5/63] lr: 1.0000e-04 eta: 17:40:50 time: 10.3525 data_time: 9.5737 memory: 27786 loss: 0.0850 loss_text: 0.0549 loss_kernel: 0.0301 2022/11/01 19:29:10 - mmengine - INFO - Epoch(train) [152][10/63] lr: 1.0000e-04 eta: 17:44:37 time: 10.4189 data_time: 9.5939 memory: 27786 loss: 0.0831 loss_text: 0.0546 loss_kernel: 0.0284 2022/11/01 19:29:14 - mmengine - INFO - Epoch(train) [152][15/63] lr: 1.0000e-04 eta: 17:44:37 time: 0.8208 data_time: 0.0267 memory: 27786 loss: 0.0831 loss_text: 0.0543 loss_kernel: 0.0288 2022/11/01 19:29:18 - mmengine - INFO - Epoch(train) [152][20/63] lr: 1.0000e-04 eta: 17:43:25 time: 0.8084 data_time: 0.0185 memory: 27786 loss: 0.0777 loss_text: 0.0494 loss_kernel: 0.0282 2022/11/01 19:29:22 - mmengine - INFO - Epoch(train) [152][25/63] lr: 1.0000e-04 eta: 17:43:25 time: 0.8466 data_time: 0.0350 memory: 27786 loss: 0.0777 loss_text: 0.0493 loss_kernel: 0.0284 2022/11/01 19:29:26 - mmengine - INFO - Epoch(train) [152][30/63] lr: 1.0000e-04 eta: 17:42:14 time: 0.8352 data_time: 0.0227 memory: 27786 loss: 0.0745 loss_text: 0.0467 loss_kernel: 0.0278 2022/11/01 19:29:30 - mmengine - INFO - Epoch(train) [152][35/63] lr: 1.0000e-04 eta: 17:42:14 time: 0.8077 data_time: 0.0175 memory: 27786 loss: 0.0812 loss_text: 0.0527 loss_kernel: 0.0285 2022/11/01 19:29:34 - mmengine - INFO - Epoch(train) [152][40/63] lr: 1.0000e-04 eta: 17:41:02 time: 0.8097 data_time: 0.0225 memory: 27786 loss: 0.0834 loss_text: 0.0552 loss_kernel: 0.0282 2022/11/01 19:29:38 - mmengine - INFO - Epoch(train) [152][45/63] lr: 1.0000e-04 eta: 17:41:02 time: 0.8233 data_time: 0.0202 memory: 27786 loss: 0.0733 loss_text: 0.0465 loss_kernel: 0.0268 2022/11/01 19:29:43 - mmengine - INFO - Epoch(train) [152][50/63] lr: 1.0000e-04 eta: 17:39:51 time: 0.8338 data_time: 0.0260 memory: 27786 loss: 0.0783 loss_text: 0.0509 loss_kernel: 0.0274 2022/11/01 19:29:47 - mmengine - INFO - Epoch(train) [152][55/63] lr: 1.0000e-04 eta: 17:39:51 time: 0.8133 data_time: 0.0212 memory: 27786 loss: 0.0828 loss_text: 0.0545 loss_kernel: 0.0283 2022/11/01 19:29:51 - mmengine - INFO - Epoch(train) [152][60/63] lr: 1.0000e-04 eta: 17:38:40 time: 0.8010 data_time: 0.0167 memory: 27786 loss: 0.0726 loss_text: 0.0459 loss_kernel: 0.0268 2022/11/01 19:29:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:31:35 - mmengine - INFO - Epoch(train) [153][5/63] lr: 1.0000e-04 eta: 17:38:40 time: 10.5948 data_time: 9.8244 memory: 27786 loss: 0.0689 loss_text: 0.0419 loss_kernel: 0.0270 2022/11/01 19:31:39 - mmengine - INFO - Epoch(train) [153][10/63] lr: 1.0000e-04 eta: 17:42:33 time: 10.6806 data_time: 9.8575 memory: 27786 loss: 0.0696 loss_text: 0.0436 loss_kernel: 0.0260 2022/11/01 19:31:44 - mmengine - INFO - Epoch(train) [153][15/63] lr: 1.0000e-04 eta: 17:42:33 time: 0.8549 data_time: 0.0442 memory: 27786 loss: 0.0645 loss_text: 0.0403 loss_kernel: 0.0241 2022/11/01 19:31:48 - mmengine - INFO - Epoch(train) [153][20/63] lr: 1.0000e-04 eta: 17:41:23 time: 0.8464 data_time: 0.0305 memory: 27786 loss: 0.0634 loss_text: 0.0396 loss_kernel: 0.0238 2022/11/01 19:31:52 - mmengine - INFO - Epoch(train) [153][25/63] lr: 1.0000e-04 eta: 17:41:23 time: 0.8552 data_time: 0.0436 memory: 27786 loss: 0.0739 loss_text: 0.0470 loss_kernel: 0.0269 2022/11/01 19:31:56 - mmengine - INFO - Epoch(train) [153][30/63] lr: 1.0000e-04 eta: 17:40:12 time: 0.8253 data_time: 0.0220 memory: 27786 loss: 0.0824 loss_text: 0.0540 loss_kernel: 0.0284 2022/11/01 19:32:00 - mmengine - INFO - Epoch(train) [153][35/63] lr: 1.0000e-04 eta: 17:40:12 time: 0.8239 data_time: 0.0210 memory: 27786 loss: 0.0801 loss_text: 0.0522 loss_kernel: 0.0279 2022/11/01 19:32:04 - mmengine - INFO - Epoch(train) [153][40/63] lr: 1.0000e-04 eta: 17:39:01 time: 0.8178 data_time: 0.0233 memory: 27786 loss: 0.0769 loss_text: 0.0480 loss_kernel: 0.0290 2022/11/01 19:32:08 - mmengine - INFO - Epoch(train) [153][45/63] lr: 1.0000e-04 eta: 17:39:01 time: 0.8010 data_time: 0.0187 memory: 27786 loss: 0.0771 loss_text: 0.0478 loss_kernel: 0.0293 2022/11/01 19:32:13 - mmengine - INFO - Epoch(train) [153][50/63] lr: 1.0000e-04 eta: 17:37:50 time: 0.8254 data_time: 0.0308 memory: 27786 loss: 0.0884 loss_text: 0.0562 loss_kernel: 0.0322 2022/11/01 19:32:17 - mmengine - INFO - Epoch(train) [153][55/63] lr: 1.0000e-04 eta: 17:37:50 time: 0.8197 data_time: 0.0244 memory: 27786 loss: 0.0936 loss_text: 0.0615 loss_kernel: 0.0321 2022/11/01 19:32:21 - mmengine - INFO - Epoch(train) [153][60/63] lr: 1.0000e-04 eta: 17:36:38 time: 0.7947 data_time: 0.0153 memory: 27786 loss: 0.0849 loss_text: 0.0551 loss_kernel: 0.0299 2022/11/01 19:32:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:34:02 - mmengine - INFO - Epoch(train) [154][5/63] lr: 1.0000e-04 eta: 17:36:38 time: 10.3196 data_time: 9.5477 memory: 27786 loss: 0.0769 loss_text: 0.0485 loss_kernel: 0.0284 2022/11/01 19:34:07 - mmengine - INFO - Epoch(train) [154][10/63] lr: 1.0000e-04 eta: 17:40:20 time: 10.3983 data_time: 9.5762 memory: 27786 loss: 0.0845 loss_text: 0.0547 loss_kernel: 0.0298 2022/11/01 19:34:11 - mmengine - INFO - Epoch(train) [154][15/63] lr: 1.0000e-04 eta: 17:40:20 time: 0.8526 data_time: 0.0377 memory: 27786 loss: 0.0905 loss_text: 0.0586 loss_kernel: 0.0319 2022/11/01 19:34:15 - mmengine - INFO - Epoch(train) [154][20/63] lr: 1.0000e-04 eta: 17:39:09 time: 0.8241 data_time: 0.0239 memory: 27786 loss: 0.0933 loss_text: 0.0599 loss_kernel: 0.0334 2022/11/01 19:34:19 - mmengine - INFO - Epoch(train) [154][25/63] lr: 1.0000e-04 eta: 17:39:09 time: 0.8480 data_time: 0.0467 memory: 27786 loss: 0.0864 loss_text: 0.0551 loss_kernel: 0.0313 2022/11/01 19:34:23 - mmengine - INFO - Epoch(train) [154][30/63] lr: 1.0000e-04 eta: 17:37:59 time: 0.8437 data_time: 0.0304 memory: 27786 loss: 0.0784 loss_text: 0.0493 loss_kernel: 0.0291 2022/11/01 19:34:28 - mmengine - INFO - Epoch(train) [154][35/63] lr: 1.0000e-04 eta: 17:37:59 time: 0.8257 data_time: 0.0190 memory: 27786 loss: 0.0875 loss_text: 0.0569 loss_kernel: 0.0306 2022/11/01 19:34:32 - mmengine - INFO - Epoch(train) [154][40/63] lr: 1.0000e-04 eta: 17:36:49 time: 0.8206 data_time: 0.0262 memory: 27786 loss: 0.0809 loss_text: 0.0519 loss_kernel: 0.0290 2022/11/01 19:34:36 - mmengine - INFO - Epoch(train) [154][45/63] lr: 1.0000e-04 eta: 17:36:49 time: 0.8237 data_time: 0.0234 memory: 27786 loss: 0.0709 loss_text: 0.0439 loss_kernel: 0.0270 2022/11/01 19:34:40 - mmengine - INFO - Epoch(train) [154][50/63] lr: 1.0000e-04 eta: 17:35:39 time: 0.8368 data_time: 0.0323 memory: 27786 loss: 0.0699 loss_text: 0.0437 loss_kernel: 0.0262 2022/11/01 19:34:44 - mmengine - INFO - Epoch(train) [154][55/63] lr: 1.0000e-04 eta: 17:35:39 time: 0.8243 data_time: 0.0268 memory: 27786 loss: 0.0664 loss_text: 0.0396 loss_kernel: 0.0268 2022/11/01 19:34:48 - mmengine - INFO - Epoch(train) [154][60/63] lr: 1.0000e-04 eta: 17:34:28 time: 0.8105 data_time: 0.0172 memory: 27786 loss: 0.0859 loss_text: 0.0535 loss_kernel: 0.0324 2022/11/01 19:34:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:36:32 - mmengine - INFO - Epoch(train) [155][5/63] lr: 1.0000e-04 eta: 17:34:28 time: 10.5068 data_time: 9.7539 memory: 27786 loss: 0.0672 loss_text: 0.0422 loss_kernel: 0.0250 2022/11/01 19:36:36 - mmengine - INFO - Epoch(train) [155][10/63] lr: 1.0000e-04 eta: 17:38:13 time: 10.5548 data_time: 9.7751 memory: 27786 loss: 0.0640 loss_text: 0.0396 loss_kernel: 0.0244 2022/11/01 19:36:40 - mmengine - INFO - Epoch(train) [155][15/63] lr: 1.0000e-04 eta: 17:38:13 time: 0.8094 data_time: 0.0301 memory: 27786 loss: 0.0650 loss_text: 0.0403 loss_kernel: 0.0247 2022/11/01 19:36:44 - mmengine - INFO - Epoch(train) [155][20/63] lr: 1.0000e-04 eta: 17:37:02 time: 0.8118 data_time: 0.0188 memory: 27786 loss: 0.0805 loss_text: 0.0514 loss_kernel: 0.0292 2022/11/01 19:36:48 - mmengine - INFO - Epoch(train) [155][25/63] lr: 1.0000e-04 eta: 17:37:02 time: 0.8344 data_time: 0.0394 memory: 27786 loss: 0.0835 loss_text: 0.0532 loss_kernel: 0.0303 2022/11/01 19:36:52 - mmengine - INFO - Epoch(train) [155][30/63] lr: 1.0000e-04 eta: 17:35:52 time: 0.8174 data_time: 0.0296 memory: 27786 loss: 0.0726 loss_text: 0.0454 loss_kernel: 0.0273 2022/11/01 19:36:56 - mmengine - INFO - Epoch(train) [155][35/63] lr: 1.0000e-04 eta: 17:35:52 time: 0.8002 data_time: 0.0197 memory: 27786 loss: 0.0670 loss_text: 0.0419 loss_kernel: 0.0251 2022/11/01 19:37:00 - mmengine - INFO - Epoch(train) [155][40/63] lr: 1.0000e-04 eta: 17:34:41 time: 0.7978 data_time: 0.0231 memory: 27786 loss: 0.0662 loss_text: 0.0418 loss_kernel: 0.0244 2022/11/01 19:37:04 - mmengine - INFO - Epoch(train) [155][45/63] lr: 1.0000e-04 eta: 17:34:41 time: 0.7964 data_time: 0.0211 memory: 27786 loss: 0.0674 loss_text: 0.0417 loss_kernel: 0.0257 2022/11/01 19:37:08 - mmengine - INFO - Epoch(train) [155][50/63] lr: 1.0000e-04 eta: 17:33:31 time: 0.8258 data_time: 0.0339 memory: 27786 loss: 0.0658 loss_text: 0.0406 loss_kernel: 0.0252 2022/11/01 19:37:12 - mmengine - INFO - Epoch(train) [155][55/63] lr: 1.0000e-04 eta: 17:33:31 time: 0.8201 data_time: 0.0264 memory: 27786 loss: 0.0741 loss_text: 0.0469 loss_kernel: 0.0273 2022/11/01 19:37:16 - mmengine - INFO - Epoch(train) [155][60/63] lr: 1.0000e-04 eta: 17:32:20 time: 0.8000 data_time: 0.0166 memory: 27786 loss: 0.0753 loss_text: 0.0478 loss_kernel: 0.0275 2022/11/01 19:37:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:38:59 - mmengine - INFO - Epoch(train) [156][5/63] lr: 1.0000e-04 eta: 17:32:20 time: 10.4135 data_time: 9.6485 memory: 27786 loss: 0.0715 loss_text: 0.0445 loss_kernel: 0.0270 2022/11/01 19:39:03 - mmengine - INFO - Epoch(train) [156][10/63] lr: 1.0000e-04 eta: 17:36:01 time: 10.5050 data_time: 9.6736 memory: 27786 loss: 0.0752 loss_text: 0.0471 loss_kernel: 0.0281 2022/11/01 19:39:07 - mmengine - INFO - Epoch(train) [156][15/63] lr: 1.0000e-04 eta: 17:36:01 time: 0.8362 data_time: 0.0365 memory: 27786 loss: 0.0876 loss_text: 0.0564 loss_kernel: 0.0312 2022/11/01 19:39:12 - mmengine - INFO - Epoch(train) [156][20/63] lr: 1.0000e-04 eta: 17:34:51 time: 0.8216 data_time: 0.0199 memory: 27786 loss: 0.0777 loss_text: 0.0495 loss_kernel: 0.0283 2022/11/01 19:39:16 - mmengine - INFO - Epoch(train) [156][25/63] lr: 1.0000e-04 eta: 17:34:51 time: 0.8512 data_time: 0.0349 memory: 27786 loss: 0.0766 loss_text: 0.0473 loss_kernel: 0.0293 2022/11/01 19:39:20 - mmengine - INFO - Epoch(train) [156][30/63] lr: 1.0000e-04 eta: 17:33:42 time: 0.8416 data_time: 0.0276 memory: 27786 loss: 0.0745 loss_text: 0.0456 loss_kernel: 0.0289 2022/11/01 19:39:24 - mmengine - INFO - Epoch(train) [156][35/63] lr: 1.0000e-04 eta: 17:33:42 time: 0.8463 data_time: 0.0248 memory: 27786 loss: 0.0665 loss_text: 0.0390 loss_kernel: 0.0275 2022/11/01 19:39:28 - mmengine - INFO - Epoch(train) [156][40/63] lr: 1.0000e-04 eta: 17:32:32 time: 0.8363 data_time: 0.0324 memory: 27786 loss: 0.0717 loss_text: 0.0423 loss_kernel: 0.0295 2022/11/01 19:39:32 - mmengine - INFO - Epoch(train) [156][45/63] lr: 1.0000e-04 eta: 17:32:32 time: 0.8129 data_time: 0.0247 memory: 27786 loss: 0.0784 loss_text: 0.0492 loss_kernel: 0.0292 2022/11/01 19:39:37 - mmengine - INFO - Epoch(train) [156][50/63] lr: 1.0000e-04 eta: 17:31:23 time: 0.8320 data_time: 0.0284 memory: 27786 loss: 0.0736 loss_text: 0.0460 loss_kernel: 0.0276 2022/11/01 19:39:41 - mmengine - INFO - Epoch(train) [156][55/63] lr: 1.0000e-04 eta: 17:31:23 time: 0.8262 data_time: 0.0245 memory: 27786 loss: 0.0638 loss_text: 0.0375 loss_kernel: 0.0263 2022/11/01 19:39:45 - mmengine - INFO - Epoch(train) [156][60/63] lr: 1.0000e-04 eta: 17:30:14 time: 0.8177 data_time: 0.0198 memory: 27786 loss: 0.0640 loss_text: 0.0388 loss_kernel: 0.0252 2022/11/01 19:39:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:41:27 - mmengine - INFO - Epoch(train) [157][5/63] lr: 1.0000e-04 eta: 17:30:14 time: 10.4133 data_time: 9.6548 memory: 27786 loss: 0.0649 loss_text: 0.0407 loss_kernel: 0.0242 2022/11/01 19:41:32 - mmengine - INFO - Epoch(train) [157][10/63] lr: 1.0000e-04 eta: 17:33:51 time: 10.5041 data_time: 9.6727 memory: 27786 loss: 0.0620 loss_text: 0.0377 loss_kernel: 0.0243 2022/11/01 19:41:36 - mmengine - INFO - Epoch(train) [157][15/63] lr: 1.0000e-04 eta: 17:33:51 time: 0.8563 data_time: 0.0286 memory: 27786 loss: 0.0660 loss_text: 0.0400 loss_kernel: 0.0260 2022/11/01 19:41:40 - mmengine - INFO - Epoch(train) [157][20/63] lr: 1.0000e-04 eta: 17:32:42 time: 0.8325 data_time: 0.0235 memory: 27786 loss: 0.0670 loss_text: 0.0407 loss_kernel: 0.0263 2022/11/01 19:41:44 - mmengine - INFO - Epoch(train) [157][25/63] lr: 1.0000e-04 eta: 17:32:42 time: 0.8432 data_time: 0.0281 memory: 27786 loss: 0.0601 loss_text: 0.0360 loss_kernel: 0.0241 2022/11/01 19:41:49 - mmengine - INFO - Epoch(train) [157][30/63] lr: 1.0000e-04 eta: 17:31:34 time: 0.8443 data_time: 0.0198 memory: 27786 loss: 0.0613 loss_text: 0.0373 loss_kernel: 0.0241 2022/11/01 19:41:53 - mmengine - INFO - Epoch(train) [157][35/63] lr: 1.0000e-04 eta: 17:31:34 time: 0.8426 data_time: 0.0265 memory: 27786 loss: 0.0673 loss_text: 0.0415 loss_kernel: 0.0258 2022/11/01 19:41:57 - mmengine - INFO - Epoch(train) [157][40/63] lr: 1.0000e-04 eta: 17:30:25 time: 0.8269 data_time: 0.0227 memory: 27786 loss: 0.0665 loss_text: 0.0408 loss_kernel: 0.0257 2022/11/01 19:42:01 - mmengine - INFO - Epoch(train) [157][45/63] lr: 1.0000e-04 eta: 17:30:25 time: 0.8207 data_time: 0.0202 memory: 27786 loss: 0.0614 loss_text: 0.0373 loss_kernel: 0.0241 2022/11/01 19:42:05 - mmengine - INFO - Epoch(train) [157][50/63] lr: 1.0000e-04 eta: 17:29:16 time: 0.8226 data_time: 0.0277 memory: 27786 loss: 0.0689 loss_text: 0.0424 loss_kernel: 0.0265 2022/11/01 19:42:09 - mmengine - INFO - Epoch(train) [157][55/63] lr: 1.0000e-04 eta: 17:29:16 time: 0.8132 data_time: 0.0199 memory: 27786 loss: 0.0717 loss_text: 0.0449 loss_kernel: 0.0269 2022/11/01 19:42:13 - mmengine - INFO - Epoch(train) [157][60/63] lr: 1.0000e-04 eta: 17:28:07 time: 0.8249 data_time: 0.0166 memory: 27786 loss: 0.0686 loss_text: 0.0432 loss_kernel: 0.0254 2022/11/01 19:42:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:43:56 - mmengine - INFO - Epoch(train) [158][5/63] lr: 1.0000e-04 eta: 17:28:07 time: 10.3814 data_time: 9.6075 memory: 27786 loss: 0.0784 loss_text: 0.0495 loss_kernel: 0.0289 2022/11/01 19:44:00 - mmengine - INFO - Epoch(train) [158][10/63] lr: 1.0000e-04 eta: 17:31:40 time: 10.4228 data_time: 9.6247 memory: 27786 loss: 0.0743 loss_text: 0.0468 loss_kernel: 0.0275 2022/11/01 19:44:04 - mmengine - INFO - Epoch(train) [158][15/63] lr: 1.0000e-04 eta: 17:31:40 time: 0.8236 data_time: 0.0280 memory: 27786 loss: 0.0717 loss_text: 0.0450 loss_kernel: 0.0267 2022/11/01 19:44:08 - mmengine - INFO - Epoch(train) [158][20/63] lr: 1.0000e-04 eta: 17:30:31 time: 0.8202 data_time: 0.0164 memory: 27786 loss: 0.0689 loss_text: 0.0425 loss_kernel: 0.0263 2022/11/01 19:44:12 - mmengine - INFO - Epoch(train) [158][25/63] lr: 1.0000e-04 eta: 17:30:31 time: 0.8391 data_time: 0.0290 memory: 27786 loss: 0.0597 loss_text: 0.0365 loss_kernel: 0.0232 2022/11/01 19:44:16 - mmengine - INFO - Epoch(train) [158][30/63] lr: 1.0000e-04 eta: 17:29:22 time: 0.8261 data_time: 0.0267 memory: 27786 loss: 0.0650 loss_text: 0.0405 loss_kernel: 0.0244 2022/11/01 19:44:20 - mmengine - INFO - Epoch(train) [158][35/63] lr: 1.0000e-04 eta: 17:29:22 time: 0.8171 data_time: 0.0234 memory: 27786 loss: 0.0667 loss_text: 0.0414 loss_kernel: 0.0253 2022/11/01 19:44:25 - mmengine - INFO - Epoch(train) [158][40/63] lr: 1.0000e-04 eta: 17:28:13 time: 0.8355 data_time: 0.0277 memory: 27786 loss: 0.0632 loss_text: 0.0391 loss_kernel: 0.0241 2022/11/01 19:44:29 - mmengine - INFO - Epoch(train) [158][45/63] lr: 1.0000e-04 eta: 17:28:13 time: 0.8297 data_time: 0.0278 memory: 27786 loss: 0.0624 loss_text: 0.0383 loss_kernel: 0.0240 2022/11/01 19:44:33 - mmengine - INFO - Epoch(train) [158][50/63] lr: 1.0000e-04 eta: 17:27:05 time: 0.8282 data_time: 0.0308 memory: 27786 loss: 0.0692 loss_text: 0.0436 loss_kernel: 0.0256 2022/11/01 19:44:37 - mmengine - INFO - Epoch(train) [158][55/63] lr: 1.0000e-04 eta: 17:27:05 time: 0.8282 data_time: 0.0234 memory: 27786 loss: 0.0690 loss_text: 0.0436 loss_kernel: 0.0254 2022/11/01 19:44:41 - mmengine - INFO - Epoch(train) [158][60/63] lr: 1.0000e-04 eta: 17:25:56 time: 0.8157 data_time: 0.0202 memory: 27786 loss: 0.0696 loss_text: 0.0441 loss_kernel: 0.0256 2022/11/01 19:44:43 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:46:23 - mmengine - INFO - Epoch(train) [159][5/63] lr: 1.0000e-04 eta: 17:25:56 time: 10.3844 data_time: 9.6096 memory: 27786 loss: 0.0840 loss_text: 0.0529 loss_kernel: 0.0311 2022/11/01 19:46:28 - mmengine - INFO - Epoch(train) [159][10/63] lr: 1.0000e-04 eta: 17:29:27 time: 10.4413 data_time: 9.6232 memory: 27786 loss: 0.0890 loss_text: 0.0568 loss_kernel: 0.0322 2022/11/01 19:46:32 - mmengine - INFO - Epoch(train) [159][15/63] lr: 1.0000e-04 eta: 17:29:27 time: 0.8394 data_time: 0.0278 memory: 27786 loss: 0.0708 loss_text: 0.0450 loss_kernel: 0.0259 2022/11/01 19:46:36 - mmengine - INFO - Epoch(train) [159][20/63] lr: 1.0000e-04 eta: 17:28:19 time: 0.8474 data_time: 0.0327 memory: 27786 loss: 0.0686 loss_text: 0.0435 loss_kernel: 0.0251 2022/11/01 19:46:40 - mmengine - INFO - Epoch(train) [159][25/63] lr: 1.0000e-04 eta: 17:28:19 time: 0.8303 data_time: 0.0306 memory: 27786 loss: 0.0745 loss_text: 0.0491 loss_kernel: 0.0253 2022/11/01 19:46:44 - mmengine - INFO - Epoch(train) [159][30/63] lr: 1.0000e-04 eta: 17:27:11 time: 0.8090 data_time: 0.0240 memory: 27786 loss: 0.0834 loss_text: 0.0550 loss_kernel: 0.0283 2022/11/01 19:46:48 - mmengine - INFO - Epoch(train) [159][35/63] lr: 1.0000e-04 eta: 17:27:11 time: 0.8316 data_time: 0.0337 memory: 27786 loss: 0.0927 loss_text: 0.0605 loss_kernel: 0.0322 2022/11/01 19:46:53 - mmengine - INFO - Epoch(train) [159][40/63] lr: 1.0000e-04 eta: 17:26:03 time: 0.8441 data_time: 0.0277 memory: 27786 loss: 0.0833 loss_text: 0.0542 loss_kernel: 0.0290 2022/11/01 19:46:57 - mmengine - INFO - Epoch(train) [159][45/63] lr: 1.0000e-04 eta: 17:26:03 time: 0.8512 data_time: 0.0307 memory: 27786 loss: 0.0693 loss_text: 0.0435 loss_kernel: 0.0258 2022/11/01 19:46:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:47:01 - mmengine - INFO - Epoch(train) [159][50/63] lr: 1.0000e-04 eta: 17:24:55 time: 0.8362 data_time: 0.0321 memory: 27786 loss: 0.0758 loss_text: 0.0477 loss_kernel: 0.0280 2022/11/01 19:47:05 - mmengine - INFO - Epoch(train) [159][55/63] lr: 1.0000e-04 eta: 17:24:55 time: 0.8021 data_time: 0.0202 memory: 27786 loss: 0.0758 loss_text: 0.0478 loss_kernel: 0.0280 2022/11/01 19:47:09 - mmengine - INFO - Epoch(train) [159][60/63] lr: 1.0000e-04 eta: 17:23:46 time: 0.7991 data_time: 0.0187 memory: 27786 loss: 0.0662 loss_text: 0.0408 loss_kernel: 0.0254 2022/11/01 19:47:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:48:51 - mmengine - INFO - Epoch(train) [160][5/63] lr: 1.0000e-04 eta: 17:23:46 time: 10.3876 data_time: 9.6141 memory: 27786 loss: 0.0777 loss_text: 0.0490 loss_kernel: 0.0288 2022/11/01 19:48:56 - mmengine - INFO - Epoch(train) [160][10/63] lr: 1.0000e-04 eta: 17:27:15 time: 10.4524 data_time: 9.6309 memory: 27786 loss: 0.0766 loss_text: 0.0477 loss_kernel: 0.0289 2022/11/01 19:49:00 - mmengine - INFO - Epoch(train) [160][15/63] lr: 1.0000e-04 eta: 17:27:15 time: 0.8476 data_time: 0.0308 memory: 27786 loss: 0.0771 loss_text: 0.0479 loss_kernel: 0.0292 2022/11/01 19:49:04 - mmengine - INFO - Epoch(train) [160][20/63] lr: 1.0000e-04 eta: 17:26:07 time: 0.8254 data_time: 0.0202 memory: 27786 loss: 0.0823 loss_text: 0.0523 loss_kernel: 0.0300 2022/11/01 19:49:08 - mmengine - INFO - Epoch(train) [160][25/63] lr: 1.0000e-04 eta: 17:26:07 time: 0.8201 data_time: 0.0298 memory: 27786 loss: 0.0671 loss_text: 0.0419 loss_kernel: 0.0253 2022/11/01 19:49:12 - mmengine - INFO - Epoch(train) [160][30/63] lr: 1.0000e-04 eta: 17:24:59 time: 0.8150 data_time: 0.0225 memory: 27786 loss: 0.0677 loss_text: 0.0420 loss_kernel: 0.0257 2022/11/01 19:49:16 - mmengine - INFO - Epoch(train) [160][35/63] lr: 1.0000e-04 eta: 17:24:59 time: 0.8257 data_time: 0.0253 memory: 27786 loss: 0.0693 loss_text: 0.0434 loss_kernel: 0.0259 2022/11/01 19:49:20 - mmengine - INFO - Epoch(train) [160][40/63] lr: 1.0000e-04 eta: 17:23:51 time: 0.8243 data_time: 0.0289 memory: 27786 loss: 0.0616 loss_text: 0.0381 loss_kernel: 0.0236 2022/11/01 19:49:24 - mmengine - INFO - Epoch(train) [160][45/63] lr: 1.0000e-04 eta: 17:23:51 time: 0.8174 data_time: 0.0227 memory: 27786 loss: 0.0696 loss_text: 0.0438 loss_kernel: 0.0258 2022/11/01 19:49:29 - mmengine - INFO - Epoch(train) [160][50/63] lr: 1.0000e-04 eta: 17:22:44 time: 0.8316 data_time: 0.0300 memory: 27786 loss: 0.0792 loss_text: 0.0508 loss_kernel: 0.0284 2022/11/01 19:49:33 - mmengine - INFO - Epoch(train) [160][55/63] lr: 1.0000e-04 eta: 17:22:44 time: 0.8279 data_time: 0.0261 memory: 27786 loss: 0.0692 loss_text: 0.0434 loss_kernel: 0.0258 2022/11/01 19:49:37 - mmengine - INFO - Epoch(train) [160][60/63] lr: 1.0000e-04 eta: 17:21:36 time: 0.8076 data_time: 0.0215 memory: 27786 loss: 0.0708 loss_text: 0.0444 loss_kernel: 0.0264 2022/11/01 19:49:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:49:39 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/11/01 19:50:16 - mmengine - INFO - Epoch(val) [160][5/500] eta: 17:21:36 time: 3.2627 data_time: 3.2127 memory: 27786 2022/11/01 19:50:17 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:26:46 time: 3.2796 data_time: 3.2132 memory: 2082 2022/11/01 19:50:17 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:26:46 time: 0.0631 data_time: 0.0023 memory: 2007 2022/11/01 19:50:17 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:00:24 time: 0.0506 data_time: 0.0020 memory: 1705 2022/11/01 19:50:17 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:00:24 time: 0.0439 data_time: 0.0020 memory: 1705 2022/11/01 19:50:17 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:00:19 time: 0.0425 data_time: 0.0021 memory: 1705 2022/11/01 19:50:18 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:00:19 time: 0.0462 data_time: 0.0021 memory: 1705 2022/11/01 19:50:18 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:00:21 time: 0.0472 data_time: 0.0022 memory: 1743 2022/11/01 19:50:18 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:00:21 time: 0.0476 data_time: 0.0023 memory: 2082 2022/11/01 19:50:18 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:00:22 time: 0.0491 data_time: 0.0022 memory: 1818 2022/11/01 19:50:19 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:00:22 time: 0.0444 data_time: 0.0021 memory: 1781 2022/11/01 19:50:19 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:00:20 time: 0.0455 data_time: 0.0020 memory: 1705 2022/11/01 19:50:19 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:00:20 time: 0.0485 data_time: 0.0020 memory: 1818 2022/11/01 19:50:19 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:00:19 time: 0.0443 data_time: 0.0020 memory: 2082 2022/11/01 19:50:20 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:00:19 time: 0.0468 data_time: 0.0020 memory: 1818 2022/11/01 19:50:20 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:00:20 time: 0.0483 data_time: 0.0041 memory: 1705 2022/11/01 19:50:20 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:00:20 time: 0.0454 data_time: 0.0041 memory: 1705 2022/11/01 19:50:20 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:00:19 time: 0.0484 data_time: 0.0021 memory: 2082 2022/11/01 19:50:20 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:00:19 time: 0.0461 data_time: 0.0022 memory: 1743 2022/11/01 19:50:21 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:00:17 time: 0.0442 data_time: 0.0022 memory: 2082 2022/11/01 19:50:21 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:00:17 time: 0.0464 data_time: 0.0022 memory: 1705 2022/11/01 19:50:21 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:00:18 time: 0.0464 data_time: 0.0047 memory: 2082 2022/11/01 19:50:21 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:00:18 time: 0.0509 data_time: 0.0046 memory: 1705 2022/11/01 19:50:22 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:00:22 time: 0.0579 data_time: 0.0020 memory: 1705 2022/11/01 19:50:22 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:00:22 time: 0.0651 data_time: 0.0022 memory: 2082 2022/11/01 19:50:22 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:00:21 time: 0.0572 data_time: 0.0023 memory: 1705 2022/11/01 19:50:23 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:00:21 time: 0.0486 data_time: 0.0022 memory: 1856 2022/11/01 19:50:23 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:00:18 time: 0.0506 data_time: 0.0021 memory: 1705 2022/11/01 19:50:23 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:00:18 time: 0.0447 data_time: 0.0020 memory: 2044 2022/11/01 19:50:23 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:00:14 time: 0.0423 data_time: 0.0020 memory: 1705 2022/11/01 19:50:24 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:00:14 time: 0.0466 data_time: 0.0020 memory: 1969 2022/11/01 19:50:24 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:00:16 time: 0.0476 data_time: 0.0020 memory: 2082 2022/11/01 19:50:24 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:00:16 time: 0.0453 data_time: 0.0020 memory: 1781 2022/11/01 19:50:24 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:00:16 time: 0.0486 data_time: 0.0020 memory: 1969 2022/11/01 19:50:24 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:00:16 time: 0.0493 data_time: 0.0020 memory: 2082 2022/11/01 19:50:25 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:13 time: 0.0434 data_time: 0.0020 memory: 2082 2022/11/01 19:50:25 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:13 time: 0.0414 data_time: 0.0020 memory: 1705 2022/11/01 19:50:25 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:00:14 time: 0.0462 data_time: 0.0019 memory: 1818 2022/11/01 19:50:25 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:00:14 time: 0.0440 data_time: 0.0019 memory: 1781 2022/11/01 19:50:26 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:00:12 time: 0.0404 data_time: 0.0019 memory: 1781 2022/11/01 19:50:26 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:00:12 time: 0.0425 data_time: 0.0018 memory: 1705 2022/11/01 19:50:26 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:00:13 time: 0.0452 data_time: 0.0019 memory: 2082 2022/11/01 19:50:26 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:00:13 time: 0.0464 data_time: 0.0019 memory: 1705 2022/11/01 19:50:26 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:11 time: 0.0417 data_time: 0.0019 memory: 1856 2022/11/01 19:50:27 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:11 time: 0.0416 data_time: 0.0019 memory: 2082 2022/11/01 19:50:27 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:17 time: 0.0639 data_time: 0.0091 memory: 1705 2022/11/01 19:50:27 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:17 time: 0.0649 data_time: 0.0091 memory: 2082 2022/11/01 19:50:28 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:12 time: 0.0494 data_time: 0.0020 memory: 2082 2022/11/01 19:50:28 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:12 time: 0.0507 data_time: 0.0021 memory: 2082 2022/11/01 19:50:28 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:11 time: 0.0470 data_time: 0.0021 memory: 1705 2022/11/01 19:50:28 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:11 time: 0.0699 data_time: 0.0020 memory: 1743 2022/11/01 19:50:29 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:16 time: 0.0671 data_time: 0.0020 memory: 1705 2022/11/01 19:50:29 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:16 time: 0.0445 data_time: 0.0020 memory: 2007 2022/11/01 19:50:29 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:10 time: 0.0476 data_time: 0.0020 memory: 1931 2022/11/01 19:50:29 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:10 time: 0.0518 data_time: 0.0019 memory: 2082 2022/11/01 19:50:30 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:00:10 time: 0.0497 data_time: 0.0021 memory: 2007 2022/11/01 19:50:30 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:00:10 time: 0.0453 data_time: 0.0020 memory: 1705 2022/11/01 19:50:30 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:10 time: 0.0508 data_time: 0.0019 memory: 2082 2022/11/01 19:50:30 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:10 time: 0.0489 data_time: 0.0020 memory: 1818 2022/11/01 19:50:31 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:00:09 time: 0.0458 data_time: 0.0019 memory: 1743 2022/11/01 19:50:31 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:00:09 time: 0.0399 data_time: 0.0018 memory: 1705 2022/11/01 19:50:31 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:07 time: 0.0384 data_time: 0.0018 memory: 1781 2022/11/01 19:50:31 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:07 time: 0.0468 data_time: 0.0021 memory: 2007 2022/11/01 19:50:32 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:09 time: 0.0530 data_time: 0.0024 memory: 2007 2022/11/01 19:50:32 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:09 time: 0.0500 data_time: 0.0023 memory: 2082 2022/11/01 19:50:32 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:00:07 time: 0.0452 data_time: 0.0021 memory: 1743 2022/11/01 19:50:32 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:00:07 time: 0.0475 data_time: 0.0021 memory: 1931 2022/11/01 19:50:32 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:00:07 time: 0.0478 data_time: 0.0022 memory: 2044 2022/11/01 19:50:33 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:00:07 time: 0.0435 data_time: 0.0020 memory: 1931 2022/11/01 19:50:33 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:07 time: 0.0533 data_time: 0.0023 memory: 1705 2022/11/01 19:50:33 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:07 time: 0.0641 data_time: 0.0024 memory: 2044 2022/11/01 19:50:34 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:07 time: 0.0521 data_time: 0.0022 memory: 1743 2022/11/01 19:50:34 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:07 time: 0.0434 data_time: 0.0019 memory: 1592 2022/11/01 19:50:34 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:05 time: 0.0430 data_time: 0.0018 memory: 1818 2022/11/01 19:50:34 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:05 time: 0.0375 data_time: 0.0018 memory: 1705 2022/11/01 19:50:34 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:05 time: 0.0485 data_time: 0.0122 memory: 2044 2022/11/01 19:50:35 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:05 time: 0.0520 data_time: 0.0122 memory: 2044 2022/11/01 19:50:35 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:05 time: 0.0469 data_time: 0.0019 memory: 2082 2022/11/01 19:50:35 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:05 time: 0.0686 data_time: 0.0021 memory: 1705 2022/11/01 19:50:36 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:06 time: 0.0672 data_time: 0.0021 memory: 2044 2022/11/01 19:50:36 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:06 time: 0.0445 data_time: 0.0020 memory: 2044 2022/11/01 19:50:36 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:04 time: 0.0453 data_time: 0.0020 memory: 1818 2022/11/01 19:50:36 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:04 time: 0.0496 data_time: 0.0020 memory: 1705 2022/11/01 19:50:37 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:04 time: 0.0614 data_time: 0.0021 memory: 2007 2022/11/01 19:50:37 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:04 time: 0.0650 data_time: 0.0022 memory: 1705 2022/11/01 19:50:37 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:03 time: 0.0534 data_time: 0.0022 memory: 2082 2022/11/01 19:50:37 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:03 time: 0.0532 data_time: 0.0021 memory: 1705 2022/11/01 19:50:38 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:03 time: 0.0513 data_time: 0.0043 memory: 1856 2022/11/01 19:50:38 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:03 time: 0.0471 data_time: 0.0043 memory: 2007 2022/11/01 19:50:38 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:02 time: 0.0524 data_time: 0.0024 memory: 1705 2022/11/01 19:50:38 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:02 time: 0.0528 data_time: 0.0024 memory: 2082 2022/11/01 19:50:39 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:01 time: 0.0463 data_time: 0.0021 memory: 1781 2022/11/01 19:50:39 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:01 time: 0.0431 data_time: 0.0020 memory: 1969 2022/11/01 19:50:39 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:01 time: 0.0444 data_time: 0.0019 memory: 1781 2022/11/01 19:50:39 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:01 time: 0.0514 data_time: 0.0024 memory: 2082 2022/11/01 19:50:40 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:01 time: 0.0519 data_time: 0.0024 memory: 2044 2022/11/01 19:50:40 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:01 time: 0.0450 data_time: 0.0020 memory: 1705 2022/11/01 19:50:40 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:00 time: 0.0399 data_time: 0.0020 memory: 1969 2022/11/01 19:50:40 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:00 time: 0.0430 data_time: 0.0021 memory: 2082 2022/11/01 19:50:41 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.0530 data_time: 0.0108 memory: 1743 2022/11/01 19:50:41 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 19:50:41 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7951, precision: 0.5021, hmean: 0.6155 2022/11/01 19:50:41 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7951, precision: 0.5021, hmean: 0.6155 2022/11/01 19:50:41 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7951, precision: 0.5021, hmean: 0.6155 2022/11/01 19:50:41 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7951, precision: 0.5581, hmean: 0.6558 2022/11/01 19:50:41 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7948, precision: 0.6521, hmean: 0.7164 2022/11/01 19:50:41 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7915, precision: 0.7266, hmean: 0.7577 2022/11/01 19:50:41 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7541, precision: 0.8049, hmean: 0.7787 2022/11/01 19:50:41 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.8049 icdar/recall: 0.7541 icdar/hmean: 0.7787 2022/11/01 19:52:20 - mmengine - INFO - Epoch(train) [161][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 10.2559 data_time: 9.4776 memory: 27786 loss: 0.0699 loss_text: 0.0439 loss_kernel: 0.0260 2022/11/01 19:52:24 - mmengine - INFO - Epoch(train) [161][10/63] lr: 1.0000e-04 eta: 17:24:59 time: 10.3494 data_time: 9.5031 memory: 27786 loss: 0.0729 loss_text: 0.0456 loss_kernel: 0.0273 2022/11/01 19:52:28 - mmengine - INFO - Epoch(train) [161][15/63] lr: 1.0000e-04 eta: 17:24:59 time: 0.8535 data_time: 0.0358 memory: 27786 loss: 0.0838 loss_text: 0.0529 loss_kernel: 0.0309 2022/11/01 19:52:32 - mmengine - INFO - Epoch(train) [161][20/63] lr: 1.0000e-04 eta: 17:23:52 time: 0.8314 data_time: 0.0323 memory: 27786 loss: 0.0759 loss_text: 0.0484 loss_kernel: 0.0275 2022/11/01 19:52:37 - mmengine - INFO - Epoch(train) [161][25/63] lr: 1.0000e-04 eta: 17:23:52 time: 0.8451 data_time: 0.0426 memory: 27786 loss: 0.0777 loss_text: 0.0503 loss_kernel: 0.0274 2022/11/01 19:52:41 - mmengine - INFO - Epoch(train) [161][30/63] lr: 1.0000e-04 eta: 17:22:44 time: 0.8213 data_time: 0.0219 memory: 27786 loss: 0.0821 loss_text: 0.0523 loss_kernel: 0.0298 2022/11/01 19:52:45 - mmengine - INFO - Epoch(train) [161][35/63] lr: 1.0000e-04 eta: 17:22:44 time: 0.8264 data_time: 0.0272 memory: 27786 loss: 0.0881 loss_text: 0.0561 loss_kernel: 0.0320 2022/11/01 19:52:49 - mmengine - INFO - Epoch(train) [161][40/63] lr: 1.0000e-04 eta: 17:21:37 time: 0.8260 data_time: 0.0242 memory: 27786 loss: 0.0794 loss_text: 0.0494 loss_kernel: 0.0300 2022/11/01 19:52:53 - mmengine - INFO - Epoch(train) [161][45/63] lr: 1.0000e-04 eta: 17:21:37 time: 0.8197 data_time: 0.0193 memory: 27786 loss: 0.0651 loss_text: 0.0396 loss_kernel: 0.0255 2022/11/01 19:52:57 - mmengine - INFO - Epoch(train) [161][50/63] lr: 1.0000e-04 eta: 17:20:29 time: 0.8279 data_time: 0.0331 memory: 27786 loss: 0.0655 loss_text: 0.0407 loss_kernel: 0.0249 2022/11/01 19:53:01 - mmengine - INFO - Epoch(train) [161][55/63] lr: 1.0000e-04 eta: 17:20:29 time: 0.8146 data_time: 0.0246 memory: 27786 loss: 0.0645 loss_text: 0.0393 loss_kernel: 0.0251 2022/11/01 19:53:05 - mmengine - INFO - Epoch(train) [161][60/63] lr: 1.0000e-04 eta: 17:19:22 time: 0.8082 data_time: 0.0158 memory: 27786 loss: 0.0668 loss_text: 0.0417 loss_kernel: 0.0252 2022/11/01 19:53:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:54:48 - mmengine - INFO - Epoch(train) [162][5/63] lr: 1.0000e-04 eta: 17:19:22 time: 10.3645 data_time: 9.5971 memory: 27786 loss: 0.0707 loss_text: 0.0458 loss_kernel: 0.0248 2022/11/01 19:54:52 - mmengine - INFO - Epoch(train) [162][10/63] lr: 1.0000e-04 eta: 17:22:46 time: 10.4553 data_time: 9.6201 memory: 27786 loss: 0.0812 loss_text: 0.0518 loss_kernel: 0.0293 2022/11/01 19:54:56 - mmengine - INFO - Epoch(train) [162][15/63] lr: 1.0000e-04 eta: 17:22:46 time: 0.8500 data_time: 0.0307 memory: 27786 loss: 0.0847 loss_text: 0.0536 loss_kernel: 0.0311 2022/11/01 19:55:00 - mmengine - INFO - Epoch(train) [162][20/63] lr: 1.0000e-04 eta: 17:21:39 time: 0.8049 data_time: 0.0180 memory: 27786 loss: 0.0753 loss_text: 0.0475 loss_kernel: 0.0278 2022/11/01 19:55:04 - mmengine - INFO - Epoch(train) [162][25/63] lr: 1.0000e-04 eta: 17:21:39 time: 0.8062 data_time: 0.0317 memory: 27786 loss: 0.0730 loss_text: 0.0461 loss_kernel: 0.0269 2022/11/01 19:55:08 - mmengine - INFO - Epoch(train) [162][30/63] lr: 1.0000e-04 eta: 17:20:31 time: 0.7976 data_time: 0.0254 memory: 27786 loss: 0.0770 loss_text: 0.0491 loss_kernel: 0.0279 2022/11/01 19:55:12 - mmengine - INFO - Epoch(train) [162][35/63] lr: 1.0000e-04 eta: 17:20:31 time: 0.8106 data_time: 0.0243 memory: 27786 loss: 0.0779 loss_text: 0.0496 loss_kernel: 0.0283 2022/11/01 19:55:16 - mmengine - INFO - Epoch(train) [162][40/63] lr: 1.0000e-04 eta: 17:19:23 time: 0.8172 data_time: 0.0245 memory: 27786 loss: 0.0744 loss_text: 0.0477 loss_kernel: 0.0268 2022/11/01 19:55:20 - mmengine - INFO - Epoch(train) [162][45/63] lr: 1.0000e-04 eta: 17:19:23 time: 0.8092 data_time: 0.0226 memory: 27786 loss: 0.0776 loss_text: 0.0500 loss_kernel: 0.0276 2022/11/01 19:55:24 - mmengine - INFO - Epoch(train) [162][50/63] lr: 1.0000e-04 eta: 17:18:16 time: 0.8221 data_time: 0.0312 memory: 27786 loss: 0.0711 loss_text: 0.0446 loss_kernel: 0.0265 2022/11/01 19:55:28 - mmengine - INFO - Epoch(train) [162][55/63] lr: 1.0000e-04 eta: 17:18:16 time: 0.8083 data_time: 0.0246 memory: 27786 loss: 0.0634 loss_text: 0.0388 loss_kernel: 0.0247 2022/11/01 19:55:32 - mmengine - INFO - Epoch(train) [162][60/63] lr: 1.0000e-04 eta: 17:17:08 time: 0.7844 data_time: 0.0179 memory: 27786 loss: 0.0739 loss_text: 0.0458 loss_kernel: 0.0281 2022/11/01 19:55:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:57:14 - mmengine - INFO - Epoch(train) [163][5/63] lr: 1.0000e-04 eta: 17:17:08 time: 10.3541 data_time: 9.6173 memory: 27786 loss: 0.0941 loss_text: 0.0608 loss_kernel: 0.0333 2022/11/01 19:57:18 - mmengine - INFO - Epoch(train) [163][10/63] lr: 1.0000e-04 eta: 17:20:29 time: 10.4026 data_time: 9.6342 memory: 27786 loss: 0.0793 loss_text: 0.0502 loss_kernel: 0.0291 2022/11/01 19:57:22 - mmengine - INFO - Epoch(train) [163][15/63] lr: 1.0000e-04 eta: 17:20:29 time: 0.8059 data_time: 0.0300 memory: 27786 loss: 0.0732 loss_text: 0.0454 loss_kernel: 0.0279 2022/11/01 19:57:27 - mmengine - INFO - Epoch(train) [163][20/63] lr: 1.0000e-04 eta: 17:19:22 time: 0.8159 data_time: 0.0257 memory: 27786 loss: 0.0772 loss_text: 0.0489 loss_kernel: 0.0284 2022/11/01 19:57:31 - mmengine - INFO - Epoch(train) [163][25/63] lr: 1.0000e-04 eta: 17:19:22 time: 0.8183 data_time: 0.0305 memory: 27786 loss: 0.0670 loss_text: 0.0421 loss_kernel: 0.0249 2022/11/01 19:57:35 - mmengine - INFO - Epoch(train) [163][30/63] lr: 1.0000e-04 eta: 17:18:14 time: 0.7976 data_time: 0.0189 memory: 27786 loss: 0.0709 loss_text: 0.0438 loss_kernel: 0.0271 2022/11/01 19:57:39 - mmengine - INFO - Epoch(train) [163][35/63] lr: 1.0000e-04 eta: 17:18:14 time: 0.7889 data_time: 0.0244 memory: 27786 loss: 0.0722 loss_text: 0.0448 loss_kernel: 0.0274 2022/11/01 19:57:42 - mmengine - INFO - Epoch(train) [163][40/63] lr: 1.0000e-04 eta: 17:17:07 time: 0.7822 data_time: 0.0276 memory: 27786 loss: 0.0737 loss_text: 0.0464 loss_kernel: 0.0274 2022/11/01 19:57:46 - mmengine - INFO - Epoch(train) [163][45/63] lr: 1.0000e-04 eta: 17:17:07 time: 0.7989 data_time: 0.0294 memory: 27786 loss: 0.0782 loss_text: 0.0494 loss_kernel: 0.0288 2022/11/01 19:57:50 - mmengine - INFO - Epoch(train) [163][50/63] lr: 1.0000e-04 eta: 17:16:00 time: 0.8081 data_time: 0.0297 memory: 27786 loss: 0.0823 loss_text: 0.0529 loss_kernel: 0.0293 2022/11/01 19:57:54 - mmengine - INFO - Epoch(train) [163][55/63] lr: 1.0000e-04 eta: 17:16:00 time: 0.7923 data_time: 0.0221 memory: 27786 loss: 0.0959 loss_text: 0.0640 loss_kernel: 0.0319 2022/11/01 19:57:58 - mmengine - INFO - Epoch(train) [163][60/63] lr: 1.0000e-04 eta: 17:14:52 time: 0.7869 data_time: 0.0229 memory: 27786 loss: 0.1008 loss_text: 0.0681 loss_kernel: 0.0327 2022/11/01 19:58:00 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 19:59:42 - mmengine - INFO - Epoch(train) [164][5/63] lr: 1.0000e-04 eta: 17:14:52 time: 10.4949 data_time: 9.6637 memory: 27786 loss: 0.0823 loss_text: 0.0537 loss_kernel: 0.0286 2022/11/01 19:59:47 - mmengine - INFO - Epoch(train) [164][10/63] lr: 1.0000e-04 eta: 17:18:19 time: 10.6821 data_time: 9.6966 memory: 27786 loss: 0.0772 loss_text: 0.0489 loss_kernel: 0.0283 2022/11/01 19:59:52 - mmengine - INFO - Epoch(train) [164][15/63] lr: 1.0000e-04 eta: 17:18:19 time: 1.0352 data_time: 0.0432 memory: 27786 loss: 0.0902 loss_text: 0.0581 loss_kernel: 0.0321 2022/11/01 19:59:57 - mmengine - INFO - Epoch(train) [164][20/63] lr: 1.0000e-04 eta: 17:17:19 time: 1.0223 data_time: 0.0204 memory: 27786 loss: 0.0855 loss_text: 0.0545 loss_kernel: 0.0309 2022/11/01 20:00:03 - mmengine - INFO - Epoch(train) [164][25/63] lr: 1.0000e-04 eta: 17:17:19 time: 1.0636 data_time: 0.0340 memory: 27786 loss: 0.0740 loss_text: 0.0463 loss_kernel: 0.0277 2022/11/01 20:00:08 - mmengine - INFO - Epoch(train) [164][30/63] lr: 1.0000e-04 eta: 17:16:18 time: 1.0182 data_time: 0.0243 memory: 27786 loss: 0.0749 loss_text: 0.0479 loss_kernel: 0.0270 2022/11/01 20:00:12 - mmengine - INFO - Epoch(train) [164][35/63] lr: 1.0000e-04 eta: 17:16:18 time: 0.9612 data_time: 0.0231 memory: 27786 loss: 0.0782 loss_text: 0.0502 loss_kernel: 0.0280 2022/11/01 20:00:18 - mmengine - INFO - Epoch(train) [164][40/63] lr: 1.0000e-04 eta: 17:15:18 time: 1.0168 data_time: 0.0247 memory: 27786 loss: 0.0773 loss_text: 0.0494 loss_kernel: 0.0279 2022/11/01 20:00:23 - mmengine - INFO - Epoch(train) [164][45/63] lr: 1.0000e-04 eta: 17:15:18 time: 1.0418 data_time: 0.0267 memory: 27786 loss: 0.0767 loss_text: 0.0492 loss_kernel: 0.0275 2022/11/01 20:00:28 - mmengine - INFO - Epoch(train) [164][50/63] lr: 1.0000e-04 eta: 17:14:18 time: 1.0220 data_time: 0.0353 memory: 27786 loss: 0.0772 loss_text: 0.0492 loss_kernel: 0.0280 2022/11/01 20:00:33 - mmengine - INFO - Epoch(train) [164][55/63] lr: 1.0000e-04 eta: 17:14:18 time: 1.0316 data_time: 0.0219 memory: 27786 loss: 0.0720 loss_text: 0.0450 loss_kernel: 0.0270 2022/11/01 20:00:38 - mmengine - INFO - Epoch(train) [164][60/63] lr: 1.0000e-04 eta: 17:13:18 time: 1.0219 data_time: 0.0168 memory: 27786 loss: 0.0809 loss_text: 0.0507 loss_kernel: 0.0302 2022/11/01 20:00:41 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:02:23 - mmengine - INFO - Epoch(train) [165][5/63] lr: 1.0000e-04 eta: 17:13:18 time: 10.6313 data_time: 9.7206 memory: 27786 loss: 0.0864 loss_text: 0.0549 loss_kernel: 0.0315 2022/11/01 20:02:27 - mmengine - INFO - Epoch(train) [165][10/63] lr: 1.0000e-04 eta: 17:16:42 time: 10.6757 data_time: 9.7318 memory: 27786 loss: 0.0795 loss_text: 0.0499 loss_kernel: 0.0296 2022/11/01 20:02:33 - mmengine - INFO - Epoch(train) [165][15/63] lr: 1.0000e-04 eta: 17:16:42 time: 1.0401 data_time: 0.0317 memory: 27786 loss: 0.0759 loss_text: 0.0485 loss_kernel: 0.0275 2022/11/01 20:02:38 - mmengine - INFO - Epoch(train) [165][20/63] lr: 1.0000e-04 eta: 17:15:43 time: 1.0616 data_time: 0.0270 memory: 27786 loss: 0.0867 loss_text: 0.0567 loss_kernel: 0.0300 2022/11/01 20:02:44 - mmengine - INFO - Epoch(train) [165][25/63] lr: 1.0000e-04 eta: 17:15:43 time: 1.0523 data_time: 0.0369 memory: 27786 loss: 0.0956 loss_text: 0.0613 loss_kernel: 0.0343 2022/11/01 20:02:49 - mmengine - INFO - Epoch(train) [165][30/63] lr: 1.0000e-04 eta: 17:14:45 time: 1.0640 data_time: 0.0395 memory: 27786 loss: 0.0939 loss_text: 0.0594 loss_kernel: 0.0344 2022/11/01 20:02:54 - mmengine - INFO - Epoch(train) [165][35/63] lr: 1.0000e-04 eta: 17:14:45 time: 1.0389 data_time: 0.0372 memory: 27786 loss: 0.0986 loss_text: 0.0655 loss_kernel: 0.0331 2022/11/01 20:02:59 - mmengine - INFO - Epoch(train) [165][40/63] lr: 1.0000e-04 eta: 17:13:45 time: 1.0298 data_time: 0.0353 memory: 27786 loss: 0.0980 loss_text: 0.0655 loss_kernel: 0.0324 2022/11/01 20:03:04 - mmengine - INFO - Epoch(train) [165][45/63] lr: 1.0000e-04 eta: 17:13:45 time: 1.0237 data_time: 0.0323 memory: 27786 loss: 0.0830 loss_text: 0.0536 loss_kernel: 0.0294 2022/11/01 20:03:09 - mmengine - INFO - Epoch(train) [165][50/63] lr: 1.0000e-04 eta: 17:12:44 time: 0.9920 data_time: 0.0327 memory: 27786 loss: 0.0823 loss_text: 0.0532 loss_kernel: 0.0291 2022/11/01 20:03:14 - mmengine - INFO - Epoch(train) [165][55/63] lr: 1.0000e-04 eta: 17:12:44 time: 0.9677 data_time: 0.0271 memory: 27786 loss: 0.0857 loss_text: 0.0548 loss_kernel: 0.0309 2022/11/01 20:03:19 - mmengine - INFO - Epoch(train) [165][60/63] lr: 1.0000e-04 eta: 17:11:43 time: 0.9820 data_time: 0.0210 memory: 27786 loss: 0.0771 loss_text: 0.0485 loss_kernel: 0.0286 2022/11/01 20:03:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:05:03 - mmengine - INFO - Epoch(train) [166][5/63] lr: 1.0000e-04 eta: 17:11:43 time: 10.5772 data_time: 9.6468 memory: 27786 loss: 0.0656 loss_text: 0.0409 loss_kernel: 0.0246 2022/11/01 20:05:08 - mmengine - INFO - Epoch(train) [166][10/63] lr: 1.0000e-04 eta: 17:15:04 time: 10.6292 data_time: 9.6617 memory: 27786 loss: 0.0682 loss_text: 0.0422 loss_kernel: 0.0260 2022/11/01 20:05:12 - mmengine - INFO - Epoch(train) [166][15/63] lr: 1.0000e-04 eta: 17:15:04 time: 0.9258 data_time: 0.0236 memory: 27786 loss: 0.0654 loss_text: 0.0405 loss_kernel: 0.0249 2022/11/01 20:05:16 - mmengine - INFO - Epoch(train) [166][20/63] lr: 1.0000e-04 eta: 17:13:58 time: 0.8101 data_time: 0.0206 memory: 27786 loss: 0.0620 loss_text: 0.0383 loss_kernel: 0.0237 2022/11/01 20:05:20 - mmengine - INFO - Epoch(train) [166][25/63] lr: 1.0000e-04 eta: 17:13:58 time: 0.7792 data_time: 0.0256 memory: 27786 loss: 0.0622 loss_text: 0.0378 loss_kernel: 0.0244 2022/11/01 20:05:24 - mmengine - INFO - Epoch(train) [166][30/63] lr: 1.0000e-04 eta: 17:12:51 time: 0.7980 data_time: 0.0195 memory: 27786 loss: 0.0652 loss_text: 0.0406 loss_kernel: 0.0247 2022/11/01 20:05:28 - mmengine - INFO - Epoch(train) [166][35/63] lr: 1.0000e-04 eta: 17:12:51 time: 0.8004 data_time: 0.0278 memory: 27786 loss: 0.0783 loss_text: 0.0494 loss_kernel: 0.0288 2022/11/01 20:05:31 - mmengine - INFO - Epoch(train) [166][40/63] lr: 1.0000e-04 eta: 17:11:45 time: 0.7797 data_time: 0.0200 memory: 27786 loss: 0.0838 loss_text: 0.0532 loss_kernel: 0.0305 2022/11/01 20:05:35 - mmengine - INFO - Epoch(train) [166][45/63] lr: 1.0000e-04 eta: 17:11:45 time: 0.7766 data_time: 0.0167 memory: 27786 loss: 0.0716 loss_text: 0.0453 loss_kernel: 0.0264 2022/11/01 20:05:39 - mmengine - INFO - Epoch(train) [166][50/63] lr: 1.0000e-04 eta: 17:10:38 time: 0.7946 data_time: 0.0291 memory: 27786 loss: 0.0723 loss_text: 0.0458 loss_kernel: 0.0265 2022/11/01 20:05:43 - mmengine - INFO - Epoch(train) [166][55/63] lr: 1.0000e-04 eta: 17:10:38 time: 0.7931 data_time: 0.0218 memory: 27786 loss: 0.0710 loss_text: 0.0448 loss_kernel: 0.0263 2022/11/01 20:05:47 - mmengine - INFO - Epoch(train) [166][60/63] lr: 1.0000e-04 eta: 17:09:32 time: 0.7846 data_time: 0.0155 memory: 27786 loss: 0.0638 loss_text: 0.0401 loss_kernel: 0.0237 2022/11/01 20:05:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:07:28 - mmengine - INFO - Epoch(train) [167][5/63] lr: 1.0000e-04 eta: 17:09:32 time: 10.2173 data_time: 9.5009 memory: 27786 loss: 0.0675 loss_text: 0.0432 loss_kernel: 0.0243 2022/11/01 20:07:32 - mmengine - INFO - Epoch(train) [167][10/63] lr: 1.0000e-04 eta: 17:12:40 time: 10.2745 data_time: 9.5130 memory: 27786 loss: 0.0767 loss_text: 0.0493 loss_kernel: 0.0273 2022/11/01 20:07:36 - mmengine - INFO - Epoch(train) [167][15/63] lr: 1.0000e-04 eta: 17:12:40 time: 0.7994 data_time: 0.0269 memory: 27786 loss: 0.0718 loss_text: 0.0457 loss_kernel: 0.0260 2022/11/01 20:07:40 - mmengine - INFO - Epoch(train) [167][20/63] lr: 1.0000e-04 eta: 17:11:34 time: 0.8129 data_time: 0.0351 memory: 27786 loss: 0.0766 loss_text: 0.0489 loss_kernel: 0.0276 2022/11/01 20:07:44 - mmengine - INFO - Epoch(train) [167][25/63] lr: 1.0000e-04 eta: 17:11:34 time: 0.7960 data_time: 0.0280 memory: 27786 loss: 0.0745 loss_text: 0.0473 loss_kernel: 0.0272 2022/11/01 20:07:48 - mmengine - INFO - Epoch(train) [167][30/63] lr: 1.0000e-04 eta: 17:10:28 time: 0.7907 data_time: 0.0222 memory: 27786 loss: 0.0646 loss_text: 0.0398 loss_kernel: 0.0248 2022/11/01 20:07:53 - mmengine - INFO - Epoch(train) [167][35/63] lr: 1.0000e-04 eta: 17:10:28 time: 0.8541 data_time: 0.0311 memory: 27786 loss: 0.0735 loss_text: 0.0457 loss_kernel: 0.0278 2022/11/01 20:07:57 - mmengine - INFO - Epoch(train) [167][40/63] lr: 1.0000e-04 eta: 17:09:24 time: 0.8579 data_time: 0.0251 memory: 27786 loss: 0.0724 loss_text: 0.0449 loss_kernel: 0.0275 2022/11/01 20:08:01 - mmengine - INFO - Epoch(train) [167][45/63] lr: 1.0000e-04 eta: 17:09:24 time: 0.8200 data_time: 0.0301 memory: 27786 loss: 0.0693 loss_text: 0.0431 loss_kernel: 0.0262 2022/11/01 20:08:05 - mmengine - INFO - Epoch(train) [167][50/63] lr: 1.0000e-04 eta: 17:08:18 time: 0.8038 data_time: 0.0276 memory: 27786 loss: 0.0746 loss_text: 0.0472 loss_kernel: 0.0274 2022/11/01 20:08:08 - mmengine - INFO - Epoch(train) [167][55/63] lr: 1.0000e-04 eta: 17:08:18 time: 0.7715 data_time: 0.0180 memory: 27786 loss: 0.0781 loss_text: 0.0500 loss_kernel: 0.0281 2022/11/01 20:08:12 - mmengine - INFO - Epoch(train) [167][60/63] lr: 1.0000e-04 eta: 17:07:12 time: 0.7707 data_time: 0.0199 memory: 27786 loss: 0.0732 loss_text: 0.0464 loss_kernel: 0.0268 2022/11/01 20:08:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:09:54 - mmengine - INFO - Epoch(train) [168][5/63] lr: 1.0000e-04 eta: 17:07:12 time: 10.3075 data_time: 9.5860 memory: 27786 loss: 0.0696 loss_text: 0.0424 loss_kernel: 0.0272 2022/11/01 20:09:58 - mmengine - INFO - Epoch(train) [168][10/63] lr: 1.0000e-04 eta: 17:10:21 time: 10.3744 data_time: 9.5978 memory: 27786 loss: 0.0676 loss_text: 0.0415 loss_kernel: 0.0262 2022/11/01 20:10:02 - mmengine - INFO - Epoch(train) [168][15/63] lr: 1.0000e-04 eta: 17:10:21 time: 0.8082 data_time: 0.0308 memory: 27786 loss: 0.0668 loss_text: 0.0407 loss_kernel: 0.0261 2022/11/01 20:10:06 - mmengine - INFO - Epoch(train) [168][20/63] lr: 1.0000e-04 eta: 17:09:16 time: 0.8119 data_time: 0.0304 memory: 27786 loss: 0.0605 loss_text: 0.0368 loss_kernel: 0.0237 2022/11/01 20:10:10 - mmengine - INFO - Epoch(train) [168][25/63] lr: 1.0000e-04 eta: 17:09:16 time: 0.8078 data_time: 0.0313 memory: 27786 loss: 0.0671 loss_text: 0.0419 loss_kernel: 0.0252 2022/11/01 20:10:14 - mmengine - INFO - Epoch(train) [168][30/63] lr: 1.0000e-04 eta: 17:08:10 time: 0.7888 data_time: 0.0215 memory: 27786 loss: 0.0736 loss_text: 0.0462 loss_kernel: 0.0274 2022/11/01 20:10:18 - mmengine - INFO - Epoch(train) [168][35/63] lr: 1.0000e-04 eta: 17:08:10 time: 0.7936 data_time: 0.0215 memory: 27786 loss: 0.0812 loss_text: 0.0507 loss_kernel: 0.0305 2022/11/01 20:10:22 - mmengine - INFO - Epoch(train) [168][40/63] lr: 1.0000e-04 eta: 17:07:04 time: 0.7901 data_time: 0.0224 memory: 27786 loss: 0.0746 loss_text: 0.0461 loss_kernel: 0.0285 2022/11/01 20:10:26 - mmengine - INFO - Epoch(train) [168][45/63] lr: 1.0000e-04 eta: 17:07:04 time: 0.7918 data_time: 0.0280 memory: 27786 loss: 0.0601 loss_text: 0.0368 loss_kernel: 0.0233 2022/11/01 20:10:30 - mmengine - INFO - Epoch(train) [168][50/63] lr: 1.0000e-04 eta: 17:05:59 time: 0.8150 data_time: 0.0277 memory: 27786 loss: 0.0623 loss_text: 0.0381 loss_kernel: 0.0242 2022/11/01 20:10:34 - mmengine - INFO - Epoch(train) [168][55/63] lr: 1.0000e-04 eta: 17:05:59 time: 0.7985 data_time: 0.0220 memory: 27786 loss: 0.0652 loss_text: 0.0389 loss_kernel: 0.0263 2022/11/01 20:10:38 - mmengine - INFO - Epoch(train) [168][60/63] lr: 1.0000e-04 eta: 17:04:53 time: 0.7763 data_time: 0.0200 memory: 27786 loss: 0.0646 loss_text: 0.0387 loss_kernel: 0.0259 2022/11/01 20:10:40 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:12:23 - mmengine - INFO - Epoch(train) [169][5/63] lr: 1.0000e-04 eta: 17:04:53 time: 10.6824 data_time: 9.9309 memory: 27786 loss: 0.0736 loss_text: 0.0479 loss_kernel: 0.0257 2022/11/01 20:12:27 - mmengine - INFO - Epoch(train) [169][10/63] lr: 1.0000e-04 eta: 17:08:12 time: 10.7531 data_time: 9.9529 memory: 27786 loss: 0.0697 loss_text: 0.0427 loss_kernel: 0.0271 2022/11/01 20:12:31 - mmengine - INFO - Epoch(train) [169][15/63] lr: 1.0000e-04 eta: 17:08:12 time: 0.8136 data_time: 0.0317 memory: 27786 loss: 0.0716 loss_text: 0.0440 loss_kernel: 0.0276 2022/11/01 20:12:35 - mmengine - INFO - Epoch(train) [169][20/63] lr: 1.0000e-04 eta: 17:07:06 time: 0.7992 data_time: 0.0165 memory: 27786 loss: 0.0681 loss_text: 0.0436 loss_kernel: 0.0245 2022/11/01 20:12:40 - mmengine - INFO - Epoch(train) [169][25/63] lr: 1.0000e-04 eta: 17:07:06 time: 0.8168 data_time: 0.0360 memory: 27786 loss: 0.0718 loss_text: 0.0459 loss_kernel: 0.0259 2022/11/01 20:12:43 - mmengine - INFO - Epoch(train) [169][30/63] lr: 1.0000e-04 eta: 17:06:01 time: 0.8028 data_time: 0.0312 memory: 27786 loss: 0.0695 loss_text: 0.0437 loss_kernel: 0.0258 2022/11/01 20:12:48 - mmengine - INFO - Epoch(train) [169][35/63] lr: 1.0000e-04 eta: 17:06:01 time: 0.7965 data_time: 0.0235 memory: 27786 loss: 0.0777 loss_text: 0.0495 loss_kernel: 0.0281 2022/11/01 20:12:52 - mmengine - INFO - Epoch(train) [169][40/63] lr: 1.0000e-04 eta: 17:04:56 time: 0.8097 data_time: 0.0249 memory: 27786 loss: 0.0802 loss_text: 0.0509 loss_kernel: 0.0293 2022/11/01 20:12:55 - mmengine - INFO - Epoch(train) [169][45/63] lr: 1.0000e-04 eta: 17:04:56 time: 0.7920 data_time: 0.0215 memory: 27786 loss: 0.0816 loss_text: 0.0523 loss_kernel: 0.0293 2022/11/01 20:12:59 - mmengine - INFO - Epoch(train) [169][50/63] lr: 1.0000e-04 eta: 17:03:51 time: 0.7901 data_time: 0.0310 memory: 27786 loss: 0.0925 loss_text: 0.0605 loss_kernel: 0.0320 2022/11/01 20:13:03 - mmengine - INFO - Epoch(train) [169][55/63] lr: 1.0000e-04 eta: 17:03:51 time: 0.7890 data_time: 0.0279 memory: 27786 loss: 0.0780 loss_text: 0.0503 loss_kernel: 0.0277 2022/11/01 20:13:07 - mmengine - INFO - Epoch(train) [169][60/63] lr: 1.0000e-04 eta: 17:02:45 time: 0.7811 data_time: 0.0187 memory: 27786 loss: 0.0680 loss_text: 0.0428 loss_kernel: 0.0252 2022/11/01 20:13:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:14:48 - mmengine - INFO - Epoch(train) [170][5/63] lr: 1.0000e-04 eta: 17:02:45 time: 10.2465 data_time: 9.4916 memory: 27786 loss: 0.0697 loss_text: 0.0443 loss_kernel: 0.0254 2022/11/01 20:14:52 - mmengine - INFO - Epoch(train) [170][10/63] lr: 1.0000e-04 eta: 17:05:48 time: 10.2817 data_time: 9.4963 memory: 27786 loss: 0.0732 loss_text: 0.0457 loss_kernel: 0.0275 2022/11/01 20:14:56 - mmengine - INFO - Epoch(train) [170][15/63] lr: 1.0000e-04 eta: 17:05:48 time: 0.7798 data_time: 0.0170 memory: 27786 loss: 0.0860 loss_text: 0.0544 loss_kernel: 0.0315 2022/11/01 20:15:00 - mmengine - INFO - Epoch(train) [170][20/63] lr: 1.0000e-04 eta: 17:04:43 time: 0.8030 data_time: 0.0213 memory: 27786 loss: 0.0778 loss_text: 0.0495 loss_kernel: 0.0283 2022/11/01 20:15:04 - mmengine - INFO - Epoch(train) [170][25/63] lr: 1.0000e-04 eta: 17:04:43 time: 0.8087 data_time: 0.0291 memory: 27786 loss: 0.0649 loss_text: 0.0402 loss_kernel: 0.0247 2022/11/01 20:15:08 - mmengine - INFO - Epoch(train) [170][30/63] lr: 1.0000e-04 eta: 17:03:39 time: 0.8105 data_time: 0.0280 memory: 27786 loss: 0.0703 loss_text: 0.0435 loss_kernel: 0.0268 2022/11/01 20:15:12 - mmengine - INFO - Epoch(train) [170][35/63] lr: 1.0000e-04 eta: 17:03:39 time: 0.8174 data_time: 0.0288 memory: 27786 loss: 0.0697 loss_text: 0.0431 loss_kernel: 0.0266 2022/11/01 20:15:17 - mmengine - INFO - Epoch(train) [170][40/63] lr: 1.0000e-04 eta: 17:02:34 time: 0.8204 data_time: 0.0300 memory: 27786 loss: 0.0657 loss_text: 0.0400 loss_kernel: 0.0256 2022/11/01 20:15:21 - mmengine - INFO - Epoch(train) [170][45/63] lr: 1.0000e-04 eta: 17:02:34 time: 0.8196 data_time: 0.0231 memory: 27786 loss: 0.0713 loss_text: 0.0454 loss_kernel: 0.0259 2022/11/01 20:15:25 - mmengine - INFO - Epoch(train) [170][50/63] lr: 1.0000e-04 eta: 17:01:30 time: 0.8066 data_time: 0.0251 memory: 27786 loss: 0.0749 loss_text: 0.0487 loss_kernel: 0.0262 2022/11/01 20:15:29 - mmengine - INFO - Epoch(train) [170][55/63] lr: 1.0000e-04 eta: 17:01:30 time: 0.7919 data_time: 0.0211 memory: 27786 loss: 0.0697 loss_text: 0.0438 loss_kernel: 0.0260 2022/11/01 20:15:32 - mmengine - INFO - Epoch(train) [170][60/63] lr: 1.0000e-04 eta: 17:00:25 time: 0.7834 data_time: 0.0158 memory: 27786 loss: 0.0675 loss_text: 0.0422 loss_kernel: 0.0254 2022/11/01 20:15:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:17:15 - mmengine - INFO - Epoch(train) [171][5/63] lr: 1.0000e-04 eta: 17:00:25 time: 10.3760 data_time: 9.6052 memory: 27786 loss: 0.0796 loss_text: 0.0501 loss_kernel: 0.0295 2022/11/01 20:17:19 - mmengine - INFO - Epoch(train) [171][10/63] lr: 1.0000e-04 eta: 17:03:30 time: 10.4349 data_time: 9.6263 memory: 27786 loss: 0.0755 loss_text: 0.0482 loss_kernel: 0.0273 2022/11/01 20:17:23 - mmengine - INFO - Epoch(train) [171][15/63] lr: 1.0000e-04 eta: 17:03:30 time: 0.8127 data_time: 0.0295 memory: 27786 loss: 0.0669 loss_text: 0.0424 loss_kernel: 0.0245 2022/11/01 20:17:27 - mmengine - INFO - Epoch(train) [171][20/63] lr: 1.0000e-04 eta: 17:02:26 time: 0.8029 data_time: 0.0163 memory: 27786 loss: 0.0732 loss_text: 0.0452 loss_kernel: 0.0280 2022/11/01 20:17:31 - mmengine - INFO - Epoch(train) [171][25/63] lr: 1.0000e-04 eta: 17:02:26 time: 0.8189 data_time: 0.0341 memory: 27786 loss: 0.0742 loss_text: 0.0451 loss_kernel: 0.0290 2022/11/01 20:17:35 - mmengine - INFO - Epoch(train) [171][30/63] lr: 1.0000e-04 eta: 17:01:21 time: 0.8042 data_time: 0.0273 memory: 27786 loss: 0.0759 loss_text: 0.0476 loss_kernel: 0.0283 2022/11/01 20:17:39 - mmengine - INFO - Epoch(train) [171][35/63] lr: 1.0000e-04 eta: 17:01:21 time: 0.7915 data_time: 0.0190 memory: 27786 loss: 0.0789 loss_text: 0.0507 loss_kernel: 0.0283 2022/11/01 20:17:43 - mmengine - INFO - Epoch(train) [171][40/63] lr: 1.0000e-04 eta: 17:00:17 time: 0.7995 data_time: 0.0205 memory: 27786 loss: 0.0805 loss_text: 0.0515 loss_kernel: 0.0289 2022/11/01 20:17:47 - mmengine - INFO - Epoch(train) [171][45/63] lr: 1.0000e-04 eta: 17:00:17 time: 0.8013 data_time: 0.0211 memory: 27786 loss: 0.0934 loss_text: 0.0618 loss_kernel: 0.0315 2022/11/01 20:17:51 - mmengine - INFO - Epoch(train) [171][50/63] lr: 1.0000e-04 eta: 16:59:13 time: 0.8113 data_time: 0.0307 memory: 27786 loss: 0.0883 loss_text: 0.0587 loss_kernel: 0.0296 2022/11/01 20:17:55 - mmengine - INFO - Epoch(train) [171][55/63] lr: 1.0000e-04 eta: 16:59:13 time: 0.7954 data_time: 0.0246 memory: 27786 loss: 0.0809 loss_text: 0.0528 loss_kernel: 0.0280 2022/11/01 20:17:59 - mmengine - INFO - Epoch(train) [171][60/63] lr: 1.0000e-04 eta: 16:58:08 time: 0.7861 data_time: 0.0169 memory: 27786 loss: 0.0937 loss_text: 0.0626 loss_kernel: 0.0311 2022/11/01 20:18:01 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:19:41 - mmengine - INFO - Epoch(train) [172][5/63] lr: 1.0000e-04 eta: 16:58:08 time: 10.3670 data_time: 9.6043 memory: 27786 loss: 0.0910 loss_text: 0.0597 loss_kernel: 0.0313 2022/11/01 20:19:45 - mmengine - INFO - Epoch(train) [172][10/63] lr: 1.0000e-04 eta: 17:01:11 time: 10.4256 data_time: 9.6145 memory: 27786 loss: 0.0888 loss_text: 0.0581 loss_kernel: 0.0308 2022/11/01 20:19:49 - mmengine - INFO - Epoch(train) [172][15/63] lr: 1.0000e-04 eta: 17:01:11 time: 0.8191 data_time: 0.0197 memory: 27786 loss: 0.0949 loss_text: 0.0629 loss_kernel: 0.0321 2022/11/01 20:19:53 - mmengine - INFO - Epoch(train) [172][20/63] lr: 1.0000e-04 eta: 17:00:07 time: 0.8111 data_time: 0.0209 memory: 27786 loss: 0.0946 loss_text: 0.0632 loss_kernel: 0.0313 2022/11/01 20:19:57 - mmengine - INFO - Epoch(train) [172][25/63] lr: 1.0000e-04 eta: 17:00:07 time: 0.8100 data_time: 0.0333 memory: 27786 loss: 0.0866 loss_text: 0.0572 loss_kernel: 0.0293 2022/11/01 20:20:01 - mmengine - INFO - Epoch(train) [172][30/63] lr: 1.0000e-04 eta: 16:59:03 time: 0.7894 data_time: 0.0219 memory: 27786 loss: 0.0809 loss_text: 0.0526 loss_kernel: 0.0283 2022/11/01 20:20:05 - mmengine - INFO - Epoch(train) [172][35/63] lr: 1.0000e-04 eta: 16:59:03 time: 0.7964 data_time: 0.0277 memory: 27786 loss: 0.0745 loss_text: 0.0486 loss_kernel: 0.0259 2022/11/01 20:20:09 - mmengine - INFO - Epoch(train) [172][40/63] lr: 1.0000e-04 eta: 16:57:59 time: 0.7990 data_time: 0.0331 memory: 27786 loss: 0.0798 loss_text: 0.0529 loss_kernel: 0.0269 2022/11/01 20:20:13 - mmengine - INFO - Epoch(train) [172][45/63] lr: 1.0000e-04 eta: 16:57:59 time: 0.7991 data_time: 0.0251 memory: 27786 loss: 0.0903 loss_text: 0.0604 loss_kernel: 0.0299 2022/11/01 20:20:17 - mmengine - INFO - Epoch(train) [172][50/63] lr: 1.0000e-04 eta: 16:56:55 time: 0.7969 data_time: 0.0280 memory: 27786 loss: 0.0995 loss_text: 0.0649 loss_kernel: 0.0347 2022/11/01 20:20:21 - mmengine - INFO - Epoch(train) [172][55/63] lr: 1.0000e-04 eta: 16:56:55 time: 0.7831 data_time: 0.0230 memory: 27786 loss: 0.0977 loss_text: 0.0626 loss_kernel: 0.0351 2022/11/01 20:20:25 - mmengine - INFO - Epoch(train) [172][60/63] lr: 1.0000e-04 eta: 16:55:50 time: 0.7716 data_time: 0.0163 memory: 27786 loss: 0.0912 loss_text: 0.0590 loss_kernel: 0.0321 2022/11/01 20:20:27 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:22:07 - mmengine - INFO - Epoch(train) [173][5/63] lr: 1.0000e-04 eta: 16:55:50 time: 10.3590 data_time: 9.6300 memory: 27786 loss: 0.0851 loss_text: 0.0562 loss_kernel: 0.0290 2022/11/01 20:22:11 - mmengine - INFO - Epoch(train) [173][10/63] lr: 1.0000e-04 eta: 16:58:51 time: 10.4226 data_time: 9.6465 memory: 27786 loss: 0.0945 loss_text: 0.0624 loss_kernel: 0.0320 2022/11/01 20:22:15 - mmengine - INFO - Epoch(train) [173][15/63] lr: 1.0000e-04 eta: 16:58:51 time: 0.7869 data_time: 0.0275 memory: 27786 loss: 0.0885 loss_text: 0.0576 loss_kernel: 0.0309 2022/11/01 20:22:19 - mmengine - INFO - Epoch(train) [173][20/63] lr: 1.0000e-04 eta: 16:57:47 time: 0.7750 data_time: 0.0160 memory: 27786 loss: 0.0762 loss_text: 0.0492 loss_kernel: 0.0270 2022/11/01 20:22:23 - mmengine - INFO - Epoch(train) [173][25/63] lr: 1.0000e-04 eta: 16:57:47 time: 0.7989 data_time: 0.0324 memory: 27786 loss: 0.0673 loss_text: 0.0431 loss_kernel: 0.0242 2022/11/01 20:22:27 - mmengine - INFO - Epoch(train) [173][30/63] lr: 1.0000e-04 eta: 16:56:43 time: 0.8042 data_time: 0.0257 memory: 27786 loss: 0.0747 loss_text: 0.0485 loss_kernel: 0.0262 2022/11/01 20:22:31 - mmengine - INFO - Epoch(train) [173][35/63] lr: 1.0000e-04 eta: 16:56:43 time: 0.7936 data_time: 0.0170 memory: 27786 loss: 0.0766 loss_text: 0.0493 loss_kernel: 0.0273 2022/11/01 20:22:35 - mmengine - INFO - Epoch(train) [173][40/63] lr: 1.0000e-04 eta: 16:55:39 time: 0.7862 data_time: 0.0221 memory: 27786 loss: 0.0785 loss_text: 0.0501 loss_kernel: 0.0284 2022/11/01 20:22:39 - mmengine - INFO - Epoch(train) [173][45/63] lr: 1.0000e-04 eta: 16:55:39 time: 0.7790 data_time: 0.0240 memory: 27786 loss: 0.0866 loss_text: 0.0550 loss_kernel: 0.0316 2022/11/01 20:22:43 - mmengine - INFO - Epoch(train) [173][50/63] lr: 1.0000e-04 eta: 16:54:35 time: 0.7776 data_time: 0.0240 memory: 27786 loss: 0.0867 loss_text: 0.0565 loss_kernel: 0.0302 2022/11/01 20:22:47 - mmengine - INFO - Epoch(train) [173][55/63] lr: 1.0000e-04 eta: 16:54:35 time: 0.7755 data_time: 0.0193 memory: 27786 loss: 0.0831 loss_text: 0.0549 loss_kernel: 0.0282 2022/11/01 20:22:50 - mmengine - INFO - Epoch(train) [173][60/63] lr: 1.0000e-04 eta: 16:53:31 time: 0.7756 data_time: 0.0168 memory: 27786 loss: 0.0873 loss_text: 0.0574 loss_kernel: 0.0300 2022/11/01 20:22:52 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:24:33 - mmengine - INFO - Epoch(train) [174][5/63] lr: 1.0000e-04 eta: 16:53:31 time: 10.3554 data_time: 9.6234 memory: 27786 loss: 0.0785 loss_text: 0.0493 loss_kernel: 0.0292 2022/11/01 20:24:37 - mmengine - INFO - Epoch(train) [174][10/63] lr: 1.0000e-04 eta: 16:56:30 time: 10.4149 data_time: 9.6401 memory: 27786 loss: 0.0821 loss_text: 0.0526 loss_kernel: 0.0295 2022/11/01 20:24:41 - mmengine - INFO - Epoch(train) [174][15/63] lr: 1.0000e-04 eta: 16:56:30 time: 0.8034 data_time: 0.0292 memory: 27786 loss: 0.0901 loss_text: 0.0570 loss_kernel: 0.0331 2022/11/01 20:24:45 - mmengine - INFO - Epoch(train) [174][20/63] lr: 1.0000e-04 eta: 16:55:26 time: 0.7963 data_time: 0.0241 memory: 27786 loss: 0.0830 loss_text: 0.0519 loss_kernel: 0.0311 2022/11/01 20:24:49 - mmengine - INFO - Epoch(train) [174][25/63] lr: 1.0000e-04 eta: 16:55:26 time: 0.7938 data_time: 0.0266 memory: 27786 loss: 0.0704 loss_text: 0.0430 loss_kernel: 0.0274 2022/11/01 20:24:53 - mmengine - INFO - Epoch(train) [174][30/63] lr: 1.0000e-04 eta: 16:54:22 time: 0.7826 data_time: 0.0172 memory: 27786 loss: 0.0718 loss_text: 0.0443 loss_kernel: 0.0274 2022/11/01 20:24:56 - mmengine - INFO - Epoch(train) [174][35/63] lr: 1.0000e-04 eta: 16:54:22 time: 0.7810 data_time: 0.0270 memory: 27786 loss: 0.0750 loss_text: 0.0475 loss_kernel: 0.0276 2022/11/01 20:25:00 - mmengine - INFO - Epoch(train) [174][40/63] lr: 1.0000e-04 eta: 16:53:18 time: 0.7631 data_time: 0.0203 memory: 27786 loss: 0.0721 loss_text: 0.0464 loss_kernel: 0.0257 2022/11/01 20:25:04 - mmengine - INFO - Epoch(train) [174][45/63] lr: 1.0000e-04 eta: 16:53:18 time: 0.7780 data_time: 0.0182 memory: 27786 loss: 0.0661 loss_text: 0.0426 loss_kernel: 0.0235 2022/11/01 20:25:08 - mmengine - INFO - Epoch(train) [174][50/63] lr: 1.0000e-04 eta: 16:52:15 time: 0.8065 data_time: 0.0311 memory: 27786 loss: 0.0690 loss_text: 0.0432 loss_kernel: 0.0258 2022/11/01 20:25:12 - mmengine - INFO - Epoch(train) [174][55/63] lr: 1.0000e-04 eta: 16:52:15 time: 0.8042 data_time: 0.0224 memory: 27786 loss: 0.0690 loss_text: 0.0431 loss_kernel: 0.0259 2022/11/01 20:25:16 - mmengine - INFO - Epoch(train) [174][60/63] lr: 1.0000e-04 eta: 16:51:12 time: 0.7927 data_time: 0.0152 memory: 27786 loss: 0.0711 loss_text: 0.0449 loss_kernel: 0.0262 2022/11/01 20:25:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:26:57 - mmengine - INFO - Epoch(train) [175][5/63] lr: 1.0000e-04 eta: 16:51:12 time: 10.2187 data_time: 9.4892 memory: 27786 loss: 0.0626 loss_text: 0.0390 loss_kernel: 0.0237 2022/11/01 20:27:01 - mmengine - INFO - Epoch(train) [175][10/63] lr: 1.0000e-04 eta: 16:54:05 time: 10.2839 data_time: 9.5194 memory: 27786 loss: 0.0669 loss_text: 0.0422 loss_kernel: 0.0247 2022/11/01 20:27:05 - mmengine - INFO - Epoch(train) [175][15/63] lr: 1.0000e-04 eta: 16:54:05 time: 0.8047 data_time: 0.0472 memory: 27786 loss: 0.0660 loss_text: 0.0419 loss_kernel: 0.0241 2022/11/01 20:27:09 - mmengine - INFO - Epoch(train) [175][20/63] lr: 1.0000e-04 eta: 16:53:02 time: 0.7897 data_time: 0.0272 memory: 27786 loss: 0.0575 loss_text: 0.0353 loss_kernel: 0.0222 2022/11/01 20:27:13 - mmengine - INFO - Epoch(train) [175][25/63] lr: 1.0000e-04 eta: 16:53:02 time: 0.7868 data_time: 0.0233 memory: 27786 loss: 0.0679 loss_text: 0.0420 loss_kernel: 0.0259 2022/11/01 20:27:17 - mmengine - INFO - Epoch(train) [175][30/63] lr: 1.0000e-04 eta: 16:51:58 time: 0.7885 data_time: 0.0215 memory: 27786 loss: 0.0715 loss_text: 0.0447 loss_kernel: 0.0268 2022/11/01 20:27:21 - mmengine - INFO - Epoch(train) [175][35/63] lr: 1.0000e-04 eta: 16:51:58 time: 0.7931 data_time: 0.0217 memory: 27786 loss: 0.0689 loss_text: 0.0430 loss_kernel: 0.0259 2022/11/01 20:27:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:27:25 - mmengine - INFO - Epoch(train) [175][40/63] lr: 1.0000e-04 eta: 16:50:55 time: 0.7961 data_time: 0.0364 memory: 27786 loss: 0.0799 loss_text: 0.0503 loss_kernel: 0.0296 2022/11/01 20:27:29 - mmengine - INFO - Epoch(train) [175][45/63] lr: 1.0000e-04 eta: 16:50:55 time: 0.8142 data_time: 0.0445 memory: 27786 loss: 0.0744 loss_text: 0.0470 loss_kernel: 0.0274 2022/11/01 20:27:33 - mmengine - INFO - Epoch(train) [175][50/63] lr: 1.0000e-04 eta: 16:49:52 time: 0.7966 data_time: 0.0243 memory: 27786 loss: 0.0690 loss_text: 0.0425 loss_kernel: 0.0265 2022/11/01 20:27:37 - mmengine - INFO - Epoch(train) [175][55/63] lr: 1.0000e-04 eta: 16:49:52 time: 0.7858 data_time: 0.0217 memory: 27786 loss: 0.0726 loss_text: 0.0439 loss_kernel: 0.0287 2022/11/01 20:27:41 - mmengine - INFO - Epoch(train) [175][60/63] lr: 1.0000e-04 eta: 16:48:49 time: 0.7894 data_time: 0.0236 memory: 27786 loss: 0.0658 loss_text: 0.0397 loss_kernel: 0.0261 2022/11/01 20:27:43 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:29:22 - mmengine - INFO - Epoch(train) [176][5/63] lr: 1.0000e-04 eta: 16:48:49 time: 10.2585 data_time: 9.5354 memory: 27786 loss: 0.0784 loss_text: 0.0506 loss_kernel: 0.0278 2022/11/01 20:29:26 - mmengine - INFO - Epoch(train) [176][10/63] lr: 1.0000e-04 eta: 16:51:42 time: 10.3148 data_time: 9.5519 memory: 27786 loss: 0.0637 loss_text: 0.0397 loss_kernel: 0.0240 2022/11/01 20:29:30 - mmengine - INFO - Epoch(train) [176][15/63] lr: 1.0000e-04 eta: 16:51:42 time: 0.7958 data_time: 0.0310 memory: 27786 loss: 0.0630 loss_text: 0.0388 loss_kernel: 0.0242 2022/11/01 20:29:34 - mmengine - INFO - Epoch(train) [176][20/63] lr: 1.0000e-04 eta: 16:50:39 time: 0.7834 data_time: 0.0215 memory: 27786 loss: 0.0627 loss_text: 0.0394 loss_kernel: 0.0233 2022/11/01 20:29:38 - mmengine - INFO - Epoch(train) [176][25/63] lr: 1.0000e-04 eta: 16:50:39 time: 0.7850 data_time: 0.0264 memory: 27786 loss: 0.0655 loss_text: 0.0416 loss_kernel: 0.0239 2022/11/01 20:29:41 - mmengine - INFO - Epoch(train) [176][30/63] lr: 1.0000e-04 eta: 16:49:35 time: 0.7812 data_time: 0.0209 memory: 27786 loss: 0.0787 loss_text: 0.0506 loss_kernel: 0.0281 2022/11/01 20:29:45 - mmengine - INFO - Epoch(train) [176][35/63] lr: 1.0000e-04 eta: 16:49:35 time: 0.7845 data_time: 0.0276 memory: 27786 loss: 0.0867 loss_text: 0.0560 loss_kernel: 0.0306 2022/11/01 20:29:49 - mmengine - INFO - Epoch(train) [176][40/63] lr: 1.0000e-04 eta: 16:48:32 time: 0.7872 data_time: 0.0244 memory: 27786 loss: 0.0799 loss_text: 0.0524 loss_kernel: 0.0275 2022/11/01 20:29:53 - mmengine - INFO - Epoch(train) [176][45/63] lr: 1.0000e-04 eta: 16:48:32 time: 0.7888 data_time: 0.0235 memory: 27786 loss: 0.0810 loss_text: 0.0524 loss_kernel: 0.0287 2022/11/01 20:29:57 - mmengine - INFO - Epoch(train) [176][50/63] lr: 1.0000e-04 eta: 16:47:30 time: 0.8018 data_time: 0.0350 memory: 27786 loss: 0.0811 loss_text: 0.0505 loss_kernel: 0.0306 2022/11/01 20:30:01 - mmengine - INFO - Epoch(train) [176][55/63] lr: 1.0000e-04 eta: 16:47:30 time: 0.8039 data_time: 0.0290 memory: 27786 loss: 0.0772 loss_text: 0.0477 loss_kernel: 0.0295 2022/11/01 20:30:05 - mmengine - INFO - Epoch(train) [176][60/63] lr: 1.0000e-04 eta: 16:46:27 time: 0.7839 data_time: 0.0192 memory: 27786 loss: 0.0696 loss_text: 0.0425 loss_kernel: 0.0270 2022/11/01 20:30:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:31:46 - mmengine - INFO - Epoch(train) [177][5/63] lr: 1.0000e-04 eta: 16:46:27 time: 10.2735 data_time: 9.5502 memory: 27786 loss: 0.0769 loss_text: 0.0487 loss_kernel: 0.0282 2022/11/01 20:31:51 - mmengine - INFO - Epoch(train) [177][10/63] lr: 1.0000e-04 eta: 16:49:19 time: 10.3383 data_time: 9.5736 memory: 27786 loss: 0.0755 loss_text: 0.0476 loss_kernel: 0.0278 2022/11/01 20:31:55 - mmengine - INFO - Epoch(train) [177][15/63] lr: 1.0000e-04 eta: 16:49:19 time: 0.8089 data_time: 0.0371 memory: 27786 loss: 0.0702 loss_text: 0.0436 loss_kernel: 0.0266 2022/11/01 20:31:59 - mmengine - INFO - Epoch(train) [177][20/63] lr: 1.0000e-04 eta: 16:48:17 time: 0.8145 data_time: 0.0303 memory: 27786 loss: 0.0610 loss_text: 0.0383 loss_kernel: 0.0227 2022/11/01 20:32:03 - mmengine - INFO - Epoch(train) [177][25/63] lr: 1.0000e-04 eta: 16:48:17 time: 0.8028 data_time: 0.0354 memory: 27786 loss: 0.0686 loss_text: 0.0437 loss_kernel: 0.0249 2022/11/01 20:32:07 - mmengine - INFO - Epoch(train) [177][30/63] lr: 1.0000e-04 eta: 16:47:14 time: 0.7990 data_time: 0.0225 memory: 27786 loss: 0.0876 loss_text: 0.0550 loss_kernel: 0.0326 2022/11/01 20:32:11 - mmengine - INFO - Epoch(train) [177][35/63] lr: 1.0000e-04 eta: 16:47:14 time: 0.8149 data_time: 0.0213 memory: 27786 loss: 0.0802 loss_text: 0.0506 loss_kernel: 0.0296 2022/11/01 20:32:15 - mmengine - INFO - Epoch(train) [177][40/63] lr: 1.0000e-04 eta: 16:46:12 time: 0.8156 data_time: 0.0224 memory: 27786 loss: 0.0609 loss_text: 0.0373 loss_kernel: 0.0236 2022/11/01 20:32:19 - mmengine - INFO - Epoch(train) [177][45/63] lr: 1.0000e-04 eta: 16:46:12 time: 0.8041 data_time: 0.0209 memory: 27786 loss: 0.0620 loss_text: 0.0382 loss_kernel: 0.0239 2022/11/01 20:32:23 - mmengine - INFO - Epoch(train) [177][50/63] lr: 1.0000e-04 eta: 16:45:10 time: 0.7894 data_time: 0.0312 memory: 27786 loss: 0.0673 loss_text: 0.0426 loss_kernel: 0.0247 2022/11/01 20:32:27 - mmengine - INFO - Epoch(train) [177][55/63] lr: 1.0000e-04 eta: 16:45:10 time: 0.7728 data_time: 0.0264 memory: 27786 loss: 0.0715 loss_text: 0.0448 loss_kernel: 0.0267 2022/11/01 20:32:30 - mmengine - INFO - Epoch(train) [177][60/63] lr: 1.0000e-04 eta: 16:44:07 time: 0.7635 data_time: 0.0159 memory: 27786 loss: 0.0727 loss_text: 0.0457 loss_kernel: 0.0270 2022/11/01 20:32:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:34:12 - mmengine - INFO - Epoch(train) [178][5/63] lr: 1.0000e-04 eta: 16:44:07 time: 10.2657 data_time: 9.5358 memory: 27786 loss: 0.0594 loss_text: 0.0373 loss_kernel: 0.0221 2022/11/01 20:34:16 - mmengine - INFO - Epoch(train) [178][10/63] lr: 1.0000e-04 eta: 16:46:56 time: 10.3165 data_time: 9.5414 memory: 27786 loss: 0.0643 loss_text: 0.0399 loss_kernel: 0.0245 2022/11/01 20:34:20 - mmengine - INFO - Epoch(train) [178][15/63] lr: 1.0000e-04 eta: 16:46:56 time: 0.8029 data_time: 0.0261 memory: 27786 loss: 0.0658 loss_text: 0.0397 loss_kernel: 0.0260 2022/11/01 20:34:24 - mmengine - INFO - Epoch(train) [178][20/63] lr: 1.0000e-04 eta: 16:45:55 time: 0.8304 data_time: 0.0518 memory: 27786 loss: 0.0608 loss_text: 0.0360 loss_kernel: 0.0249 2022/11/01 20:34:28 - mmengine - INFO - Epoch(train) [178][25/63] lr: 1.0000e-04 eta: 16:45:55 time: 0.8057 data_time: 0.0388 memory: 27786 loss: 0.0575 loss_text: 0.0342 loss_kernel: 0.0233 2022/11/01 20:34:32 - mmengine - INFO - Epoch(train) [178][30/63] lr: 1.0000e-04 eta: 16:44:52 time: 0.7898 data_time: 0.0210 memory: 27786 loss: 0.0645 loss_text: 0.0394 loss_kernel: 0.0251 2022/11/01 20:34:36 - mmengine - INFO - Epoch(train) [178][35/63] lr: 1.0000e-04 eta: 16:44:52 time: 0.8048 data_time: 0.0253 memory: 27786 loss: 0.0796 loss_text: 0.0497 loss_kernel: 0.0298 2022/11/01 20:34:40 - mmengine - INFO - Epoch(train) [178][40/63] lr: 1.0000e-04 eta: 16:43:50 time: 0.7909 data_time: 0.0198 memory: 27786 loss: 0.0698 loss_text: 0.0433 loss_kernel: 0.0265 2022/11/01 20:34:44 - mmengine - INFO - Epoch(train) [178][45/63] lr: 1.0000e-04 eta: 16:43:50 time: 0.8011 data_time: 0.0276 memory: 27786 loss: 0.0614 loss_text: 0.0373 loss_kernel: 0.0241 2022/11/01 20:34:48 - mmengine - INFO - Epoch(train) [178][50/63] lr: 1.0000e-04 eta: 16:42:49 time: 0.8029 data_time: 0.0256 memory: 27786 loss: 0.0705 loss_text: 0.0441 loss_kernel: 0.0264 2022/11/01 20:34:52 - mmengine - INFO - Epoch(train) [178][55/63] lr: 1.0000e-04 eta: 16:42:49 time: 0.7950 data_time: 0.0228 memory: 27786 loss: 0.0718 loss_text: 0.0460 loss_kernel: 0.0258 2022/11/01 20:34:56 - mmengine - INFO - Epoch(train) [178][60/63] lr: 1.0000e-04 eta: 16:41:47 time: 0.7942 data_time: 0.0244 memory: 27786 loss: 0.0877 loss_text: 0.0567 loss_kernel: 0.0310 2022/11/01 20:34:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:36:39 - mmengine - INFO - Epoch(train) [179][5/63] lr: 1.0000e-04 eta: 16:41:47 time: 10.4430 data_time: 9.7097 memory: 27786 loss: 0.0727 loss_text: 0.0459 loss_kernel: 0.0269 2022/11/01 20:36:43 - mmengine - INFO - Epoch(train) [179][10/63] lr: 1.0000e-04 eta: 16:44:39 time: 10.4882 data_time: 9.7250 memory: 27786 loss: 0.0788 loss_text: 0.0498 loss_kernel: 0.0290 2022/11/01 20:36:47 - mmengine - INFO - Epoch(train) [179][15/63] lr: 1.0000e-04 eta: 16:44:39 time: 0.7994 data_time: 0.0276 memory: 27786 loss: 0.0722 loss_text: 0.0450 loss_kernel: 0.0272 2022/11/01 20:36:50 - mmengine - INFO - Epoch(train) [179][20/63] lr: 1.0000e-04 eta: 16:43:37 time: 0.7880 data_time: 0.0184 memory: 27786 loss: 0.0635 loss_text: 0.0396 loss_kernel: 0.0239 2022/11/01 20:36:54 - mmengine - INFO - Epoch(train) [179][25/63] lr: 1.0000e-04 eta: 16:43:37 time: 0.7897 data_time: 0.0240 memory: 27786 loss: 0.0660 loss_text: 0.0417 loss_kernel: 0.0243 2022/11/01 20:36:58 - mmengine - INFO - Epoch(train) [179][30/63] lr: 1.0000e-04 eta: 16:42:35 time: 0.7911 data_time: 0.0227 memory: 27786 loss: 0.0653 loss_text: 0.0411 loss_kernel: 0.0242 2022/11/01 20:37:02 - mmengine - INFO - Epoch(train) [179][35/63] lr: 1.0000e-04 eta: 16:42:35 time: 0.8022 data_time: 0.0325 memory: 27786 loss: 0.0699 loss_text: 0.0438 loss_kernel: 0.0261 2022/11/01 20:37:06 - mmengine - INFO - Epoch(train) [179][40/63] lr: 1.0000e-04 eta: 16:41:33 time: 0.7928 data_time: 0.0258 memory: 27786 loss: 0.0700 loss_text: 0.0437 loss_kernel: 0.0263 2022/11/01 20:37:10 - mmengine - INFO - Epoch(train) [179][45/63] lr: 1.0000e-04 eta: 16:41:33 time: 0.7777 data_time: 0.0197 memory: 27786 loss: 0.0678 loss_text: 0.0424 loss_kernel: 0.0254 2022/11/01 20:37:14 - mmengine - INFO - Epoch(train) [179][50/63] lr: 1.0000e-04 eta: 16:40:31 time: 0.7988 data_time: 0.0298 memory: 27786 loss: 0.0648 loss_text: 0.0397 loss_kernel: 0.0251 2022/11/01 20:37:18 - mmengine - INFO - Epoch(train) [179][55/63] lr: 1.0000e-04 eta: 16:40:31 time: 0.7882 data_time: 0.0203 memory: 27786 loss: 0.0602 loss_text: 0.0362 loss_kernel: 0.0240 2022/11/01 20:37:22 - mmengine - INFO - Epoch(train) [179][60/63] lr: 1.0000e-04 eta: 16:39:29 time: 0.7733 data_time: 0.0161 memory: 27786 loss: 0.0606 loss_text: 0.0369 loss_kernel: 0.0236 2022/11/01 20:37:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:39:03 - mmengine - INFO - Epoch(train) [180][5/63] lr: 1.0000e-04 eta: 16:39:29 time: 10.1964 data_time: 9.4657 memory: 27786 loss: 0.0648 loss_text: 0.0407 loss_kernel: 0.0241 2022/11/01 20:39:06 - mmengine - INFO - Epoch(train) [180][10/63] lr: 1.0000e-04 eta: 16:42:13 time: 10.2312 data_time: 9.4741 memory: 27786 loss: 0.0652 loss_text: 0.0408 loss_kernel: 0.0244 2022/11/01 20:39:10 - mmengine - INFO - Epoch(train) [180][15/63] lr: 1.0000e-04 eta: 16:42:13 time: 0.7707 data_time: 0.0274 memory: 27786 loss: 0.0534 loss_text: 0.0320 loss_kernel: 0.0214 2022/11/01 20:39:14 - mmengine - INFO - Epoch(train) [180][20/63] lr: 1.0000e-04 eta: 16:41:11 time: 0.7968 data_time: 0.0370 memory: 27786 loss: 0.0580 loss_text: 0.0353 loss_kernel: 0.0227 2022/11/01 20:39:18 - mmengine - INFO - Epoch(train) [180][25/63] lr: 1.0000e-04 eta: 16:41:11 time: 0.7876 data_time: 0.0288 memory: 27786 loss: 0.0602 loss_text: 0.0369 loss_kernel: 0.0233 2022/11/01 20:39:22 - mmengine - INFO - Epoch(train) [180][30/63] lr: 1.0000e-04 eta: 16:40:09 time: 0.7692 data_time: 0.0233 memory: 27786 loss: 0.0604 loss_text: 0.0370 loss_kernel: 0.0233 2022/11/01 20:39:26 - mmengine - INFO - Epoch(train) [180][35/63] lr: 1.0000e-04 eta: 16:40:09 time: 0.7945 data_time: 0.0327 memory: 27786 loss: 0.0639 loss_text: 0.0389 loss_kernel: 0.0250 2022/11/01 20:39:30 - mmengine - INFO - Epoch(train) [180][40/63] lr: 1.0000e-04 eta: 16:39:07 time: 0.7777 data_time: 0.0204 memory: 27786 loss: 0.0617 loss_text: 0.0371 loss_kernel: 0.0246 2022/11/01 20:39:34 - mmengine - INFO - Epoch(train) [180][45/63] lr: 1.0000e-04 eta: 16:39:07 time: 0.7797 data_time: 0.0214 memory: 27786 loss: 0.0714 loss_text: 0.0446 loss_kernel: 0.0267 2022/11/01 20:39:38 - mmengine - INFO - Epoch(train) [180][50/63] lr: 1.0000e-04 eta: 16:38:06 time: 0.7908 data_time: 0.0236 memory: 27786 loss: 0.0794 loss_text: 0.0503 loss_kernel: 0.0291 2022/11/01 20:39:42 - mmengine - INFO - Epoch(train) [180][55/63] lr: 1.0000e-04 eta: 16:38:06 time: 0.7640 data_time: 0.0172 memory: 27786 loss: 0.0868 loss_text: 0.0552 loss_kernel: 0.0316 2022/11/01 20:39:45 - mmengine - INFO - Epoch(train) [180][60/63] lr: 1.0000e-04 eta: 16:37:04 time: 0.7610 data_time: 0.0232 memory: 27786 loss: 0.0784 loss_text: 0.0501 loss_kernel: 0.0283 2022/11/01 20:39:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:39:47 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/11/01 20:41:33 - mmengine - INFO - Epoch(train) [181][5/63] lr: 1.0000e-04 eta: 16:37:04 time: 10.3815 data_time: 9.6614 memory: 27786 loss: 0.0589 loss_text: 0.0361 loss_kernel: 0.0227 2022/11/01 20:41:37 - mmengine - INFO - Epoch(train) [181][10/63] lr: 1.0000e-04 eta: 16:39:51 time: 10.4549 data_time: 9.6780 memory: 27786 loss: 0.0629 loss_text: 0.0377 loss_kernel: 0.0252 2022/11/01 20:41:41 - mmengine - INFO - Epoch(train) [181][15/63] lr: 1.0000e-04 eta: 16:39:51 time: 0.8015 data_time: 0.0277 memory: 27786 loss: 0.0604 loss_text: 0.0361 loss_kernel: 0.0242 2022/11/01 20:41:45 - mmengine - INFO - Epoch(train) [181][20/63] lr: 1.0000e-04 eta: 16:38:50 time: 0.7846 data_time: 0.0164 memory: 27786 loss: 0.0570 loss_text: 0.0351 loss_kernel: 0.0219 2022/11/01 20:41:49 - mmengine - INFO - Epoch(train) [181][25/63] lr: 1.0000e-04 eta: 16:38:50 time: 0.8018 data_time: 0.0331 memory: 27786 loss: 0.0595 loss_text: 0.0380 loss_kernel: 0.0215 2022/11/01 20:41:53 - mmengine - INFO - Epoch(train) [181][30/63] lr: 1.0000e-04 eta: 16:37:49 time: 0.7829 data_time: 0.0249 memory: 27786 loss: 0.0599 loss_text: 0.0378 loss_kernel: 0.0221 2022/11/01 20:41:57 - mmengine - INFO - Epoch(train) [181][35/63] lr: 1.0000e-04 eta: 16:37:49 time: 0.7825 data_time: 0.0208 memory: 27786 loss: 0.0697 loss_text: 0.0440 loss_kernel: 0.0257 2022/11/01 20:42:00 - mmengine - INFO - Epoch(train) [181][40/63] lr: 1.0000e-04 eta: 16:36:47 time: 0.7926 data_time: 0.0214 memory: 27786 loss: 0.0688 loss_text: 0.0429 loss_kernel: 0.0259 2022/11/01 20:42:04 - mmengine - INFO - Epoch(train) [181][45/63] lr: 1.0000e-04 eta: 16:36:47 time: 0.7906 data_time: 0.0202 memory: 27786 loss: 0.0614 loss_text: 0.0375 loss_kernel: 0.0238 2022/11/01 20:42:08 - mmengine - INFO - Epoch(train) [181][50/63] lr: 1.0000e-04 eta: 16:35:46 time: 0.7875 data_time: 0.0262 memory: 27786 loss: 0.0787 loss_text: 0.0499 loss_kernel: 0.0288 2022/11/01 20:42:12 - mmengine - INFO - Epoch(train) [181][55/63] lr: 1.0000e-04 eta: 16:35:46 time: 0.7792 data_time: 0.0194 memory: 27786 loss: 0.0762 loss_text: 0.0476 loss_kernel: 0.0286 2022/11/01 20:42:16 - mmengine - INFO - Epoch(train) [181][60/63] lr: 1.0000e-04 eta: 16:34:45 time: 0.7759 data_time: 0.0185 memory: 27786 loss: 0.0683 loss_text: 0.0419 loss_kernel: 0.0264 2022/11/01 20:42:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:44:00 - mmengine - INFO - Epoch(train) [182][5/63] lr: 1.0000e-04 eta: 16:34:45 time: 10.5141 data_time: 9.7905 memory: 27786 loss: 0.0714 loss_text: 0.0445 loss_kernel: 0.0268 2022/11/01 20:44:04 - mmengine - INFO - Epoch(train) [182][10/63] lr: 1.0000e-04 eta: 16:37:34 time: 10.5798 data_time: 9.8171 memory: 27786 loss: 0.0682 loss_text: 0.0427 loss_kernel: 0.0255 2022/11/01 20:44:08 - mmengine - INFO - Epoch(train) [182][15/63] lr: 1.0000e-04 eta: 16:37:34 time: 0.7944 data_time: 0.0381 memory: 27786 loss: 0.0801 loss_text: 0.0515 loss_kernel: 0.0286 2022/11/01 20:44:12 - mmengine - INFO - Epoch(train) [182][20/63] lr: 1.0000e-04 eta: 16:36:33 time: 0.7932 data_time: 0.0305 memory: 27786 loss: 0.0735 loss_text: 0.0464 loss_kernel: 0.0271 2022/11/01 20:44:16 - mmengine - INFO - Epoch(train) [182][25/63] lr: 1.0000e-04 eta: 16:36:33 time: 0.8163 data_time: 0.0428 memory: 27786 loss: 0.0588 loss_text: 0.0359 loss_kernel: 0.0230 2022/11/01 20:44:20 - mmengine - INFO - Epoch(train) [182][30/63] lr: 1.0000e-04 eta: 16:35:32 time: 0.7987 data_time: 0.0273 memory: 27786 loss: 0.0664 loss_text: 0.0412 loss_kernel: 0.0252 2022/11/01 20:44:24 - mmengine - INFO - Epoch(train) [182][35/63] lr: 1.0000e-04 eta: 16:35:32 time: 0.7956 data_time: 0.0221 memory: 27786 loss: 0.0680 loss_text: 0.0434 loss_kernel: 0.0246 2022/11/01 20:44:28 - mmengine - INFO - Epoch(train) [182][40/63] lr: 1.0000e-04 eta: 16:34:32 time: 0.7948 data_time: 0.0219 memory: 27786 loss: 0.0620 loss_text: 0.0389 loss_kernel: 0.0230 2022/11/01 20:44:32 - mmengine - INFO - Epoch(train) [182][45/63] lr: 1.0000e-04 eta: 16:34:32 time: 0.7824 data_time: 0.0225 memory: 27786 loss: 0.0664 loss_text: 0.0395 loss_kernel: 0.0268 2022/11/01 20:44:36 - mmengine - INFO - Epoch(train) [182][50/63] lr: 1.0000e-04 eta: 16:33:31 time: 0.7882 data_time: 0.0260 memory: 27786 loss: 0.0654 loss_text: 0.0391 loss_kernel: 0.0263 2022/11/01 20:44:39 - mmengine - INFO - Epoch(train) [182][55/63] lr: 1.0000e-04 eta: 16:33:31 time: 0.7771 data_time: 0.0200 memory: 27786 loss: 0.0557 loss_text: 0.0334 loss_kernel: 0.0223 2022/11/01 20:44:43 - mmengine - INFO - Epoch(train) [182][60/63] lr: 1.0000e-04 eta: 16:32:30 time: 0.7702 data_time: 0.0178 memory: 27786 loss: 0.0702 loss_text: 0.0436 loss_kernel: 0.0266 2022/11/01 20:44:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:46:29 - mmengine - INFO - Epoch(train) [183][5/63] lr: 1.0000e-04 eta: 16:32:30 time: 10.7309 data_time: 9.8489 memory: 27786 loss: 0.0688 loss_text: 0.0430 loss_kernel: 0.0258 2022/11/01 20:46:35 - mmengine - INFO - Epoch(train) [183][10/63] lr: 1.0000e-04 eta: 16:35:27 time: 10.9436 data_time: 9.8939 memory: 27786 loss: 0.0589 loss_text: 0.0365 loss_kernel: 0.0224 2022/11/01 20:46:40 - mmengine - INFO - Epoch(train) [183][15/63] lr: 1.0000e-04 eta: 16:35:27 time: 1.0837 data_time: 0.0544 memory: 27786 loss: 0.0539 loss_text: 0.0329 loss_kernel: 0.0210 2022/11/01 20:46:45 - mmengine - INFO - Epoch(train) [183][20/63] lr: 1.0000e-04 eta: 16:34:33 time: 1.0640 data_time: 0.0218 memory: 27786 loss: 0.0671 loss_text: 0.0419 loss_kernel: 0.0251 2022/11/01 20:46:51 - mmengine - INFO - Epoch(train) [183][25/63] lr: 1.0000e-04 eta: 16:34:33 time: 1.0709 data_time: 0.0459 memory: 27786 loss: 0.0795 loss_text: 0.0503 loss_kernel: 0.0292 2022/11/01 20:46:56 - mmengine - INFO - Epoch(train) [183][30/63] lr: 1.0000e-04 eta: 16:33:38 time: 1.0156 data_time: 0.0316 memory: 27786 loss: 0.0704 loss_text: 0.0437 loss_kernel: 0.0267 2022/11/01 20:47:01 - mmengine - INFO - Epoch(train) [183][35/63] lr: 1.0000e-04 eta: 16:33:38 time: 0.9832 data_time: 0.0236 memory: 27786 loss: 0.0603 loss_text: 0.0372 loss_kernel: 0.0230 2022/11/01 20:47:06 - mmengine - INFO - Epoch(train) [183][40/63] lr: 1.0000e-04 eta: 16:32:43 time: 1.0136 data_time: 0.0383 memory: 27786 loss: 0.0685 loss_text: 0.0433 loss_kernel: 0.0252 2022/11/01 20:47:11 - mmengine - INFO - Epoch(train) [183][45/63] lr: 1.0000e-04 eta: 16:32:43 time: 1.0156 data_time: 0.0302 memory: 27786 loss: 0.0819 loss_text: 0.0525 loss_kernel: 0.0294 2022/11/01 20:47:16 - mmengine - INFO - Epoch(train) [183][50/63] lr: 1.0000e-04 eta: 16:31:50 time: 1.0671 data_time: 0.0572 memory: 27786 loss: 0.0773 loss_text: 0.0499 loss_kernel: 0.0274 2022/11/01 20:47:21 - mmengine - INFO - Epoch(train) [183][55/63] lr: 1.0000e-04 eta: 16:31:50 time: 1.0406 data_time: 0.0541 memory: 27786 loss: 0.0626 loss_text: 0.0386 loss_kernel: 0.0240 2022/11/01 20:47:26 - mmengine - INFO - Epoch(train) [183][60/63] lr: 1.0000e-04 eta: 16:30:54 time: 0.9761 data_time: 0.0184 memory: 27786 loss: 0.0581 loss_text: 0.0354 loss_kernel: 0.0227 2022/11/01 20:47:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:49:10 - mmengine - INFO - Epoch(train) [184][5/63] lr: 1.0000e-04 eta: 16:30:54 time: 10.5593 data_time: 9.6112 memory: 27786 loss: 0.0645 loss_text: 0.0400 loss_kernel: 0.0245 2022/11/01 20:49:15 - mmengine - INFO - Epoch(train) [184][10/63] lr: 1.0000e-04 eta: 16:33:41 time: 10.6186 data_time: 9.6223 memory: 27786 loss: 0.0776 loss_text: 0.0491 loss_kernel: 0.0285 2022/11/01 20:49:20 - mmengine - INFO - Epoch(train) [184][15/63] lr: 1.0000e-04 eta: 16:33:41 time: 0.9841 data_time: 0.0278 memory: 27786 loss: 0.0737 loss_text: 0.0466 loss_kernel: 0.0271 2022/11/01 20:49:25 - mmengine - INFO - Epoch(train) [184][20/63] lr: 1.0000e-04 eta: 16:32:47 time: 1.0230 data_time: 0.0383 memory: 27786 loss: 0.0642 loss_text: 0.0397 loss_kernel: 0.0245 2022/11/01 20:49:30 - mmengine - INFO - Epoch(train) [184][25/63] lr: 1.0000e-04 eta: 16:32:47 time: 1.0444 data_time: 0.0416 memory: 27786 loss: 0.0652 loss_text: 0.0394 loss_kernel: 0.0258 2022/11/01 20:49:36 - mmengine - INFO - Epoch(train) [184][30/63] lr: 1.0000e-04 eta: 16:31:52 time: 1.0244 data_time: 0.0300 memory: 27786 loss: 0.0679 loss_text: 0.0419 loss_kernel: 0.0261 2022/11/01 20:49:41 - mmengine - INFO - Epoch(train) [184][35/63] lr: 1.0000e-04 eta: 16:31:52 time: 1.0696 data_time: 0.0400 memory: 27786 loss: 0.0656 loss_text: 0.0412 loss_kernel: 0.0244 2022/11/01 20:49:46 - mmengine - INFO - Epoch(train) [184][40/63] lr: 1.0000e-04 eta: 16:30:59 time: 1.0636 data_time: 0.0299 memory: 27786 loss: 0.0705 loss_text: 0.0443 loss_kernel: 0.0261 2022/11/01 20:49:51 - mmengine - INFO - Epoch(train) [184][45/63] lr: 1.0000e-04 eta: 16:30:59 time: 1.0430 data_time: 0.0245 memory: 27786 loss: 0.0740 loss_text: 0.0470 loss_kernel: 0.0270 2022/11/01 20:49:57 - mmengine - INFO - Epoch(train) [184][50/63] lr: 1.0000e-04 eta: 16:30:05 time: 1.0603 data_time: 0.0310 memory: 27786 loss: 0.0710 loss_text: 0.0442 loss_kernel: 0.0268 2022/11/01 20:50:02 - mmengine - INFO - Epoch(train) [184][55/63] lr: 1.0000e-04 eta: 16:30:05 time: 1.0250 data_time: 0.0234 memory: 27786 loss: 0.0655 loss_text: 0.0399 loss_kernel: 0.0256 2022/11/01 20:50:07 - mmengine - INFO - Epoch(train) [184][60/63] lr: 1.0000e-04 eta: 16:29:10 time: 0.9781 data_time: 0.0268 memory: 27786 loss: 0.0569 loss_text: 0.0342 loss_kernel: 0.0227 2022/11/01 20:50:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:51:50 - mmengine - INFO - Epoch(train) [185][5/63] lr: 1.0000e-04 eta: 16:29:10 time: 10.5613 data_time: 9.6090 memory: 27786 loss: 0.0558 loss_text: 0.0341 loss_kernel: 0.0217 2022/11/01 20:51:57 - mmengine - INFO - Epoch(train) [185][10/63] lr: 1.0000e-04 eta: 16:31:59 time: 10.7533 data_time: 9.6623 memory: 27786 loss: 0.0563 loss_text: 0.0349 loss_kernel: 0.0214 2022/11/01 20:52:02 - mmengine - INFO - Epoch(train) [185][15/63] lr: 1.0000e-04 eta: 16:31:59 time: 1.1557 data_time: 0.0753 memory: 27786 loss: 0.0540 loss_text: 0.0325 loss_kernel: 0.0215 2022/11/01 20:52:07 - mmengine - INFO - Epoch(train) [185][20/63] lr: 1.0000e-04 eta: 16:31:04 time: 1.0123 data_time: 0.0447 memory: 27786 loss: 0.0617 loss_text: 0.0371 loss_kernel: 0.0246 2022/11/01 20:52:12 - mmengine - INFO - Epoch(train) [185][25/63] lr: 1.0000e-04 eta: 16:31:04 time: 1.0262 data_time: 0.0434 memory: 27786 loss: 0.0639 loss_text: 0.0389 loss_kernel: 0.0250 2022/11/01 20:52:17 - mmengine - INFO - Epoch(train) [185][30/63] lr: 1.0000e-04 eta: 16:30:10 time: 1.0408 data_time: 0.0254 memory: 27786 loss: 0.0598 loss_text: 0.0360 loss_kernel: 0.0238 2022/11/01 20:52:23 - mmengine - INFO - Epoch(train) [185][35/63] lr: 1.0000e-04 eta: 16:30:10 time: 1.0472 data_time: 0.0413 memory: 27786 loss: 0.0711 loss_text: 0.0439 loss_kernel: 0.0272 2022/11/01 20:52:27 - mmengine - INFO - Epoch(train) [185][40/63] lr: 1.0000e-04 eta: 16:29:16 time: 1.0199 data_time: 0.0326 memory: 27786 loss: 0.0696 loss_text: 0.0432 loss_kernel: 0.0264 2022/11/01 20:52:32 - mmengine - INFO - Epoch(train) [185][45/63] lr: 1.0000e-04 eta: 16:29:16 time: 0.9658 data_time: 0.0246 memory: 27786 loss: 0.0606 loss_text: 0.0373 loss_kernel: 0.0233 2022/11/01 20:52:37 - mmengine - INFO - Epoch(train) [185][50/63] lr: 1.0000e-04 eta: 16:28:21 time: 0.9855 data_time: 0.0324 memory: 27786 loss: 0.0643 loss_text: 0.0396 loss_kernel: 0.0247 2022/11/01 20:52:42 - mmengine - INFO - Epoch(train) [185][55/63] lr: 1.0000e-04 eta: 16:28:21 time: 0.9679 data_time: 0.0237 memory: 27786 loss: 0.0618 loss_text: 0.0378 loss_kernel: 0.0240 2022/11/01 20:52:47 - mmengine - INFO - Epoch(train) [185][60/63] lr: 1.0000e-04 eta: 16:27:26 time: 0.9661 data_time: 0.0239 memory: 27786 loss: 0.0639 loss_text: 0.0381 loss_kernel: 0.0259 2022/11/01 20:52:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:54:29 - mmengine - INFO - Epoch(train) [186][5/63] lr: 1.0000e-04 eta: 16:27:26 time: 10.4413 data_time: 9.5929 memory: 27786 loss: 0.0592 loss_text: 0.0353 loss_kernel: 0.0239 2022/11/01 20:54:33 - mmengine - INFO - Epoch(train) [186][10/63] lr: 1.0000e-04 eta: 16:30:03 time: 10.3697 data_time: 9.6006 memory: 27786 loss: 0.0684 loss_text: 0.0423 loss_kernel: 0.0261 2022/11/01 20:54:37 - mmengine - INFO - Epoch(train) [186][15/63] lr: 1.0000e-04 eta: 16:30:03 time: 0.7822 data_time: 0.0293 memory: 27786 loss: 0.0768 loss_text: 0.0486 loss_kernel: 0.0282 2022/11/01 20:54:41 - mmengine - INFO - Epoch(train) [186][20/63] lr: 1.0000e-04 eta: 16:29:03 time: 0.7865 data_time: 0.0322 memory: 27786 loss: 0.0676 loss_text: 0.0423 loss_kernel: 0.0253 2022/11/01 20:54:45 - mmengine - INFO - Epoch(train) [186][25/63] lr: 1.0000e-04 eta: 16:29:03 time: 0.7840 data_time: 0.0259 memory: 27786 loss: 0.0594 loss_text: 0.0365 loss_kernel: 0.0230 2022/11/01 20:54:49 - mmengine - INFO - Epoch(train) [186][30/63] lr: 1.0000e-04 eta: 16:28:03 time: 0.7823 data_time: 0.0265 memory: 27786 loss: 0.0694 loss_text: 0.0432 loss_kernel: 0.0262 2022/11/01 20:54:53 - mmengine - INFO - Epoch(train) [186][35/63] lr: 1.0000e-04 eta: 16:28:03 time: 0.7866 data_time: 0.0339 memory: 27786 loss: 0.0750 loss_text: 0.0470 loss_kernel: 0.0280 2022/11/01 20:54:57 - mmengine - INFO - Epoch(train) [186][40/63] lr: 1.0000e-04 eta: 16:27:02 time: 0.7654 data_time: 0.0186 memory: 27786 loss: 0.0675 loss_text: 0.0422 loss_kernel: 0.0253 2022/11/01 20:55:01 - mmengine - INFO - Epoch(train) [186][45/63] lr: 1.0000e-04 eta: 16:27:02 time: 0.7739 data_time: 0.0203 memory: 27786 loss: 0.0628 loss_text: 0.0388 loss_kernel: 0.0240 2022/11/01 20:55:05 - mmengine - INFO - Epoch(train) [186][50/63] lr: 1.0000e-04 eta: 16:26:03 time: 0.7974 data_time: 0.0275 memory: 27786 loss: 0.0660 loss_text: 0.0407 loss_kernel: 0.0254 2022/11/01 20:55:09 - mmengine - INFO - Epoch(train) [186][55/63] lr: 1.0000e-04 eta: 16:26:03 time: 0.7900 data_time: 0.0242 memory: 27786 loss: 0.0686 loss_text: 0.0421 loss_kernel: 0.0265 2022/11/01 20:55:12 - mmengine - INFO - Epoch(train) [186][60/63] lr: 1.0000e-04 eta: 16:25:03 time: 0.7762 data_time: 0.0256 memory: 27786 loss: 0.0613 loss_text: 0.0376 loss_kernel: 0.0238 2022/11/01 20:55:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:56:53 - mmengine - INFO - Epoch(train) [187][5/63] lr: 1.0000e-04 eta: 16:25:03 time: 10.2370 data_time: 9.5193 memory: 27786 loss: 0.0685 loss_text: 0.0422 loss_kernel: 0.0263 2022/11/01 20:56:57 - mmengine - INFO - Epoch(train) [187][10/63] lr: 1.0000e-04 eta: 16:27:36 time: 10.2925 data_time: 9.5201 memory: 27786 loss: 0.0676 loss_text: 0.0420 loss_kernel: 0.0255 2022/11/01 20:57:01 - mmengine - INFO - Epoch(train) [187][15/63] lr: 1.0000e-04 eta: 16:27:36 time: 0.7867 data_time: 0.0241 memory: 27786 loss: 0.0572 loss_text: 0.0353 loss_kernel: 0.0219 2022/11/01 20:57:05 - mmengine - INFO - Epoch(train) [187][20/63] lr: 1.0000e-04 eta: 16:26:37 time: 0.7979 data_time: 0.0309 memory: 27786 loss: 0.0568 loss_text: 0.0347 loss_kernel: 0.0221 2022/11/01 20:57:09 - mmengine - INFO - Epoch(train) [187][25/63] lr: 1.0000e-04 eta: 16:26:37 time: 0.8122 data_time: 0.0273 memory: 27786 loss: 0.0568 loss_text: 0.0343 loss_kernel: 0.0226 2022/11/01 20:57:13 - mmengine - INFO - Epoch(train) [187][30/63] lr: 1.0000e-04 eta: 16:25:38 time: 0.7920 data_time: 0.0196 memory: 27786 loss: 0.0619 loss_text: 0.0371 loss_kernel: 0.0248 2022/11/01 20:57:17 - mmengine - INFO - Epoch(train) [187][35/63] lr: 1.0000e-04 eta: 16:25:38 time: 0.7879 data_time: 0.0261 memory: 27786 loss: 0.0579 loss_text: 0.0347 loss_kernel: 0.0231 2022/11/01 20:57:21 - mmengine - INFO - Epoch(train) [187][40/63] lr: 1.0000e-04 eta: 16:24:38 time: 0.7877 data_time: 0.0196 memory: 27786 loss: 0.0531 loss_text: 0.0328 loss_kernel: 0.0202 2022/11/01 20:57:25 - mmengine - INFO - Epoch(train) [187][45/63] lr: 1.0000e-04 eta: 16:24:38 time: 0.7886 data_time: 0.0221 memory: 27786 loss: 0.0623 loss_text: 0.0392 loss_kernel: 0.0231 2022/11/01 20:57:29 - mmengine - INFO - Epoch(train) [187][50/63] lr: 1.0000e-04 eta: 16:23:39 time: 0.7839 data_time: 0.0263 memory: 27786 loss: 0.0706 loss_text: 0.0429 loss_kernel: 0.0277 2022/11/01 20:57:33 - mmengine - INFO - Epoch(train) [187][55/63] lr: 1.0000e-04 eta: 16:23:39 time: 0.7688 data_time: 0.0179 memory: 27786 loss: 0.0652 loss_text: 0.0386 loss_kernel: 0.0266 2022/11/01 20:57:37 - mmengine - INFO - Epoch(train) [187][60/63] lr: 1.0000e-04 eta: 16:22:39 time: 0.7815 data_time: 0.0191 memory: 27786 loss: 0.0578 loss_text: 0.0348 loss_kernel: 0.0230 2022/11/01 20:57:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 20:59:18 - mmengine - INFO - Epoch(train) [188][5/63] lr: 1.0000e-04 eta: 16:22:39 time: 10.2959 data_time: 9.5633 memory: 27786 loss: 0.0652 loss_text: 0.0401 loss_kernel: 0.0251 2022/11/01 20:59:22 - mmengine - INFO - Epoch(train) [188][10/63] lr: 1.0000e-04 eta: 16:25:13 time: 10.3475 data_time: 9.5721 memory: 27786 loss: 0.0612 loss_text: 0.0375 loss_kernel: 0.0237 2022/11/01 20:59:26 - mmengine - INFO - Epoch(train) [188][15/63] lr: 1.0000e-04 eta: 16:25:13 time: 0.7912 data_time: 0.0189 memory: 27786 loss: 0.0555 loss_text: 0.0339 loss_kernel: 0.0217 2022/11/01 20:59:30 - mmengine - INFO - Epoch(train) [188][20/63] lr: 1.0000e-04 eta: 16:24:13 time: 0.7934 data_time: 0.0204 memory: 27786 loss: 0.0637 loss_text: 0.0394 loss_kernel: 0.0242 2022/11/01 20:59:34 - mmengine - INFO - Epoch(train) [188][25/63] lr: 1.0000e-04 eta: 16:24:13 time: 0.8208 data_time: 0.0378 memory: 27786 loss: 0.0636 loss_text: 0.0390 loss_kernel: 0.0245 2022/11/01 20:59:38 - mmengine - INFO - Epoch(train) [188][30/63] lr: 1.0000e-04 eta: 16:23:14 time: 0.8037 data_time: 0.0235 memory: 27786 loss: 0.0641 loss_text: 0.0392 loss_kernel: 0.0249 2022/11/01 20:59:42 - mmengine - INFO - Epoch(train) [188][35/63] lr: 1.0000e-04 eta: 16:23:14 time: 0.7758 data_time: 0.0177 memory: 27786 loss: 0.0733 loss_text: 0.0460 loss_kernel: 0.0274 2022/11/01 20:59:46 - mmengine - INFO - Epoch(train) [188][40/63] lr: 1.0000e-04 eta: 16:22:15 time: 0.7784 data_time: 0.0224 memory: 27786 loss: 0.0681 loss_text: 0.0426 loss_kernel: 0.0255 2022/11/01 20:59:50 - mmengine - INFO - Epoch(train) [188][45/63] lr: 1.0000e-04 eta: 16:22:15 time: 0.7860 data_time: 0.0220 memory: 27786 loss: 0.0587 loss_text: 0.0361 loss_kernel: 0.0227 2022/11/01 20:59:54 - mmengine - INFO - Epoch(train) [188][50/63] lr: 1.0000e-04 eta: 16:21:16 time: 0.7803 data_time: 0.0311 memory: 27786 loss: 0.0704 loss_text: 0.0443 loss_kernel: 0.0261 2022/11/01 20:59:58 - mmengine - INFO - Epoch(train) [188][55/63] lr: 1.0000e-04 eta: 16:21:16 time: 0.7755 data_time: 0.0235 memory: 27786 loss: 0.0774 loss_text: 0.0492 loss_kernel: 0.0281 2022/11/01 21:00:02 - mmengine - INFO - Epoch(train) [188][60/63] lr: 1.0000e-04 eta: 16:20:17 time: 0.7786 data_time: 0.0172 memory: 27786 loss: 0.0827 loss_text: 0.0528 loss_kernel: 0.0299 2022/11/01 21:00:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:01:42 - mmengine - INFO - Epoch(train) [189][5/63] lr: 1.0000e-04 eta: 16:20:17 time: 10.2386 data_time: 9.5036 memory: 27786 loss: 0.0716 loss_text: 0.0445 loss_kernel: 0.0271 2022/11/01 21:01:46 - mmengine - INFO - Epoch(train) [189][10/63] lr: 1.0000e-04 eta: 16:22:47 time: 10.2886 data_time: 9.5202 memory: 27786 loss: 0.0579 loss_text: 0.0352 loss_kernel: 0.0228 2022/11/01 21:01:51 - mmengine - INFO - Epoch(train) [189][15/63] lr: 1.0000e-04 eta: 16:22:47 time: 0.8016 data_time: 0.0306 memory: 27786 loss: 0.0612 loss_text: 0.0372 loss_kernel: 0.0240 2022/11/01 21:01:55 - mmengine - INFO - Epoch(train) [189][20/63] lr: 1.0000e-04 eta: 16:21:49 time: 0.8130 data_time: 0.0374 memory: 27786 loss: 0.0648 loss_text: 0.0399 loss_kernel: 0.0249 2022/11/01 21:01:58 - mmengine - INFO - Epoch(train) [189][25/63] lr: 1.0000e-04 eta: 16:21:49 time: 0.7986 data_time: 0.0315 memory: 27786 loss: 0.0625 loss_text: 0.0385 loss_kernel: 0.0240 2022/11/01 21:02:03 - mmengine - INFO - Epoch(train) [189][30/63] lr: 1.0000e-04 eta: 16:20:50 time: 0.7967 data_time: 0.0175 memory: 27786 loss: 0.0753 loss_text: 0.0475 loss_kernel: 0.0278 2022/11/01 21:02:07 - mmengine - INFO - Epoch(train) [189][35/63] lr: 1.0000e-04 eta: 16:20:50 time: 0.8017 data_time: 0.0267 memory: 27786 loss: 0.0727 loss_text: 0.0454 loss_kernel: 0.0273 2022/11/01 21:02:10 - mmengine - INFO - Epoch(train) [189][40/63] lr: 1.0000e-04 eta: 16:19:51 time: 0.7862 data_time: 0.0177 memory: 27786 loss: 0.0671 loss_text: 0.0408 loss_kernel: 0.0263 2022/11/01 21:02:14 - mmengine - INFO - Epoch(train) [189][45/63] lr: 1.0000e-04 eta: 16:19:51 time: 0.7869 data_time: 0.0188 memory: 27786 loss: 0.0735 loss_text: 0.0454 loss_kernel: 0.0281 2022/11/01 21:02:18 - mmengine - INFO - Epoch(train) [189][50/63] lr: 1.0000e-04 eta: 16:18:52 time: 0.7742 data_time: 0.0234 memory: 27786 loss: 0.0883 loss_text: 0.0564 loss_kernel: 0.0319 2022/11/01 21:02:22 - mmengine - INFO - Epoch(train) [189][55/63] lr: 1.0000e-04 eta: 16:18:52 time: 0.7666 data_time: 0.0178 memory: 27786 loss: 0.0810 loss_text: 0.0516 loss_kernel: 0.0294 2022/11/01 21:02:26 - mmengine - INFO - Epoch(train) [189][60/63] lr: 1.0000e-04 eta: 16:17:53 time: 0.7698 data_time: 0.0190 memory: 27786 loss: 0.0580 loss_text: 0.0362 loss_kernel: 0.0219 2022/11/01 21:02:28 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:04:07 - mmengine - INFO - Epoch(train) [190][5/63] lr: 1.0000e-04 eta: 16:17:53 time: 10.2812 data_time: 9.5383 memory: 27786 loss: 0.0686 loss_text: 0.0435 loss_kernel: 0.0251 2022/11/01 21:04:11 - mmengine - INFO - Epoch(train) [190][10/63] lr: 1.0000e-04 eta: 16:20:23 time: 10.3431 data_time: 9.5517 memory: 27786 loss: 0.0659 loss_text: 0.0412 loss_kernel: 0.0247 2022/11/01 21:04:15 - mmengine - INFO - Epoch(train) [190][15/63] lr: 1.0000e-04 eta: 16:20:23 time: 0.8101 data_time: 0.0272 memory: 27786 loss: 0.0635 loss_text: 0.0390 loss_kernel: 0.0245 2022/11/01 21:04:19 - mmengine - INFO - Epoch(train) [190][20/63] lr: 1.0000e-04 eta: 16:19:25 time: 0.8110 data_time: 0.0293 memory: 27786 loss: 0.0649 loss_text: 0.0395 loss_kernel: 0.0253 2022/11/01 21:04:23 - mmengine - INFO - Epoch(train) [190][25/63] lr: 1.0000e-04 eta: 16:19:25 time: 0.8024 data_time: 0.0255 memory: 27786 loss: 0.0587 loss_text: 0.0361 loss_kernel: 0.0227 2022/11/01 21:04:27 - mmengine - INFO - Epoch(train) [190][30/63] lr: 1.0000e-04 eta: 16:18:26 time: 0.7930 data_time: 0.0226 memory: 27786 loss: 0.0590 loss_text: 0.0369 loss_kernel: 0.0221 2022/11/01 21:04:31 - mmengine - INFO - Epoch(train) [190][35/63] lr: 1.0000e-04 eta: 16:18:26 time: 0.8040 data_time: 0.0331 memory: 27786 loss: 0.0700 loss_text: 0.0439 loss_kernel: 0.0261 2022/11/01 21:04:35 - mmengine - INFO - Epoch(train) [190][40/63] lr: 1.0000e-04 eta: 16:17:28 time: 0.7899 data_time: 0.0207 memory: 27786 loss: 0.0697 loss_text: 0.0436 loss_kernel: 0.0261 2022/11/01 21:04:39 - mmengine - INFO - Epoch(train) [190][45/63] lr: 1.0000e-04 eta: 16:17:28 time: 0.7861 data_time: 0.0236 memory: 27786 loss: 0.0694 loss_text: 0.0442 loss_kernel: 0.0251 2022/11/01 21:04:43 - mmengine - INFO - Epoch(train) [190][50/63] lr: 1.0000e-04 eta: 16:16:29 time: 0.7771 data_time: 0.0290 memory: 27786 loss: 0.0683 loss_text: 0.0439 loss_kernel: 0.0245 2022/11/01 21:04:47 - mmengine - INFO - Epoch(train) [190][55/63] lr: 1.0000e-04 eta: 16:16:29 time: 0.7717 data_time: 0.0197 memory: 27786 loss: 0.0716 loss_text: 0.0454 loss_kernel: 0.0263 2022/11/01 21:04:51 - mmengine - INFO - Epoch(train) [190][60/63] lr: 1.0000e-04 eta: 16:15:30 time: 0.7768 data_time: 0.0201 memory: 27786 loss: 0.0781 loss_text: 0.0498 loss_kernel: 0.0283 2022/11/01 21:04:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:06:34 - mmengine - INFO - Epoch(train) [191][5/63] lr: 1.0000e-04 eta: 16:15:30 time: 10.4203 data_time: 9.6707 memory: 27786 loss: 0.0776 loss_text: 0.0487 loss_kernel: 0.0288 2022/11/01 21:06:38 - mmengine - INFO - Epoch(train) [191][10/63] lr: 1.0000e-04 eta: 16:18:02 time: 10.4666 data_time: 9.6845 memory: 27786 loss: 0.0603 loss_text: 0.0366 loss_kernel: 0.0236 2022/11/01 21:06:42 - mmengine - INFO - Epoch(train) [191][15/63] lr: 1.0000e-04 eta: 16:18:02 time: 0.7962 data_time: 0.0275 memory: 27786 loss: 0.0577 loss_text: 0.0351 loss_kernel: 0.0227 2022/11/01 21:06:46 - mmengine - INFO - Epoch(train) [191][20/63] lr: 1.0000e-04 eta: 16:17:04 time: 0.8013 data_time: 0.0218 memory: 27786 loss: 0.0567 loss_text: 0.0351 loss_kernel: 0.0216 2022/11/01 21:06:50 - mmengine - INFO - Epoch(train) [191][25/63] lr: 1.0000e-04 eta: 16:17:04 time: 0.7978 data_time: 0.0301 memory: 27786 loss: 0.0579 loss_text: 0.0361 loss_kernel: 0.0219 2022/11/01 21:06:54 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:06:54 - mmengine - INFO - Epoch(train) [191][30/63] lr: 1.0000e-04 eta: 16:16:06 time: 0.7878 data_time: 0.0305 memory: 27786 loss: 0.0601 loss_text: 0.0372 loss_kernel: 0.0228 2022/11/01 21:06:57 - mmengine - INFO - Epoch(train) [191][35/63] lr: 1.0000e-04 eta: 16:16:06 time: 0.7850 data_time: 0.0280 memory: 27786 loss: 0.0587 loss_text: 0.0366 loss_kernel: 0.0221 2022/11/01 21:07:01 - mmengine - INFO - Epoch(train) [191][40/63] lr: 1.0000e-04 eta: 16:15:07 time: 0.7779 data_time: 0.0224 memory: 27786 loss: 0.0640 loss_text: 0.0400 loss_kernel: 0.0241 2022/11/01 21:07:05 - mmengine - INFO - Epoch(train) [191][45/63] lr: 1.0000e-04 eta: 16:15:07 time: 0.7970 data_time: 0.0254 memory: 27786 loss: 0.0741 loss_text: 0.0467 loss_kernel: 0.0273 2022/11/01 21:07:09 - mmengine - INFO - Epoch(train) [191][50/63] lr: 1.0000e-04 eta: 16:14:09 time: 0.8009 data_time: 0.0322 memory: 27786 loss: 0.0741 loss_text: 0.0463 loss_kernel: 0.0279 2022/11/01 21:07:13 - mmengine - INFO - Epoch(train) [191][55/63] lr: 1.0000e-04 eta: 16:14:09 time: 0.7775 data_time: 0.0227 memory: 27786 loss: 0.0716 loss_text: 0.0444 loss_kernel: 0.0272 2022/11/01 21:07:17 - mmengine - INFO - Epoch(train) [191][60/63] lr: 1.0000e-04 eta: 16:13:11 time: 0.7756 data_time: 0.0157 memory: 27786 loss: 0.0689 loss_text: 0.0429 loss_kernel: 0.0260 2022/11/01 21:07:19 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:08:59 - mmengine - INFO - Epoch(train) [192][5/63] lr: 1.0000e-04 eta: 16:13:11 time: 10.3028 data_time: 9.5690 memory: 27786 loss: 0.0630 loss_text: 0.0393 loss_kernel: 0.0237 2022/11/01 21:09:03 - mmengine - INFO - Epoch(train) [192][10/63] lr: 1.0000e-04 eta: 16:15:39 time: 10.3634 data_time: 9.5870 memory: 27786 loss: 0.0619 loss_text: 0.0386 loss_kernel: 0.0233 2022/11/01 21:09:07 - mmengine - INFO - Epoch(train) [192][15/63] lr: 1.0000e-04 eta: 16:15:39 time: 0.7886 data_time: 0.0257 memory: 27786 loss: 0.0562 loss_text: 0.0347 loss_kernel: 0.0215 2022/11/01 21:09:11 - mmengine - INFO - Epoch(train) [192][20/63] lr: 1.0000e-04 eta: 16:14:41 time: 0.7996 data_time: 0.0361 memory: 27786 loss: 0.0626 loss_text: 0.0387 loss_kernel: 0.0238 2022/11/01 21:09:15 - mmengine - INFO - Epoch(train) [192][25/63] lr: 1.0000e-04 eta: 16:14:41 time: 0.8090 data_time: 0.0478 memory: 27786 loss: 0.0609 loss_text: 0.0375 loss_kernel: 0.0234 2022/11/01 21:09:18 - mmengine - INFO - Epoch(train) [192][30/63] lr: 1.0000e-04 eta: 16:13:43 time: 0.7804 data_time: 0.0216 memory: 27786 loss: 0.0567 loss_text: 0.0348 loss_kernel: 0.0218 2022/11/01 21:09:22 - mmengine - INFO - Epoch(train) [192][35/63] lr: 1.0000e-04 eta: 16:13:43 time: 0.7860 data_time: 0.0232 memory: 27786 loss: 0.0570 loss_text: 0.0351 loss_kernel: 0.0219 2022/11/01 21:09:26 - mmengine - INFO - Epoch(train) [192][40/63] lr: 1.0000e-04 eta: 16:12:45 time: 0.7964 data_time: 0.0216 memory: 27786 loss: 0.0597 loss_text: 0.0364 loss_kernel: 0.0233 2022/11/01 21:09:30 - mmengine - INFO - Epoch(train) [192][45/63] lr: 1.0000e-04 eta: 16:12:45 time: 0.7955 data_time: 0.0187 memory: 27786 loss: 0.0751 loss_text: 0.0471 loss_kernel: 0.0281 2022/11/01 21:09:34 - mmengine - INFO - Epoch(train) [192][50/63] lr: 1.0000e-04 eta: 16:11:47 time: 0.8020 data_time: 0.0327 memory: 27786 loss: 0.0782 loss_text: 0.0495 loss_kernel: 0.0287 2022/11/01 21:09:38 - mmengine - INFO - Epoch(train) [192][55/63] lr: 1.0000e-04 eta: 16:11:47 time: 0.7837 data_time: 0.0233 memory: 27786 loss: 0.0657 loss_text: 0.0410 loss_kernel: 0.0247 2022/11/01 21:09:42 - mmengine - INFO - Epoch(train) [192][60/63] lr: 1.0000e-04 eta: 16:10:49 time: 0.7674 data_time: 0.0149 memory: 27786 loss: 0.0678 loss_text: 0.0425 loss_kernel: 0.0254 2022/11/01 21:09:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:11:24 - mmengine - INFO - Epoch(train) [193][5/63] lr: 1.0000e-04 eta: 16:10:49 time: 10.3654 data_time: 9.6304 memory: 27786 loss: 0.0675 loss_text: 0.0422 loss_kernel: 0.0253 2022/11/01 21:11:29 - mmengine - INFO - Epoch(train) [193][10/63] lr: 1.0000e-04 eta: 16:13:17 time: 10.4372 data_time: 9.6494 memory: 27786 loss: 0.0629 loss_text: 0.0391 loss_kernel: 0.0238 2022/11/01 21:11:32 - mmengine - INFO - Epoch(train) [193][15/63] lr: 1.0000e-04 eta: 16:13:17 time: 0.7932 data_time: 0.0284 memory: 27786 loss: 0.0670 loss_text: 0.0421 loss_kernel: 0.0249 2022/11/01 21:11:36 - mmengine - INFO - Epoch(train) [193][20/63] lr: 1.0000e-04 eta: 16:12:19 time: 0.7811 data_time: 0.0202 memory: 27786 loss: 0.0708 loss_text: 0.0453 loss_kernel: 0.0255 2022/11/01 21:11:40 - mmengine - INFO - Epoch(train) [193][25/63] lr: 1.0000e-04 eta: 16:12:19 time: 0.7826 data_time: 0.0236 memory: 27786 loss: 0.0732 loss_text: 0.0468 loss_kernel: 0.0264 2022/11/01 21:11:44 - mmengine - INFO - Epoch(train) [193][30/63] lr: 1.0000e-04 eta: 16:11:21 time: 0.7828 data_time: 0.0198 memory: 27786 loss: 0.0752 loss_text: 0.0476 loss_kernel: 0.0276 2022/11/01 21:11:48 - mmengine - INFO - Epoch(train) [193][35/63] lr: 1.0000e-04 eta: 16:11:21 time: 0.7955 data_time: 0.0318 memory: 27786 loss: 0.0734 loss_text: 0.0465 loss_kernel: 0.0269 2022/11/01 21:11:52 - mmengine - INFO - Epoch(train) [193][40/63] lr: 1.0000e-04 eta: 16:10:23 time: 0.7755 data_time: 0.0264 memory: 27786 loss: 0.0712 loss_text: 0.0441 loss_kernel: 0.0271 2022/11/01 21:11:56 - mmengine - INFO - Epoch(train) [193][45/63] lr: 1.0000e-04 eta: 16:10:23 time: 0.7713 data_time: 0.0197 memory: 27786 loss: 0.0620 loss_text: 0.0374 loss_kernel: 0.0246 2022/11/01 21:12:00 - mmengine - INFO - Epoch(train) [193][50/63] lr: 1.0000e-04 eta: 16:09:25 time: 0.7812 data_time: 0.0318 memory: 27786 loss: 0.0772 loss_text: 0.0489 loss_kernel: 0.0283 2022/11/01 21:12:03 - mmengine - INFO - Epoch(train) [193][55/63] lr: 1.0000e-04 eta: 16:09:25 time: 0.7561 data_time: 0.0211 memory: 27786 loss: 0.0838 loss_text: 0.0534 loss_kernel: 0.0304 2022/11/01 21:12:07 - mmengine - INFO - Epoch(train) [193][60/63] lr: 1.0000e-04 eta: 16:08:27 time: 0.7512 data_time: 0.0160 memory: 27786 loss: 0.0636 loss_text: 0.0392 loss_kernel: 0.0244 2022/11/01 21:12:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:13:51 - mmengine - INFO - Epoch(train) [194][5/63] lr: 1.0000e-04 eta: 16:08:27 time: 10.5325 data_time: 9.8038 memory: 27786 loss: 0.0673 loss_text: 0.0420 loss_kernel: 0.0253 2022/11/01 21:13:55 - mmengine - INFO - Epoch(train) [194][10/63] lr: 1.0000e-04 eta: 16:10:57 time: 10.5887 data_time: 9.8142 memory: 27786 loss: 0.0650 loss_text: 0.0411 loss_kernel: 0.0239 2022/11/01 21:13:59 - mmengine - INFO - Epoch(train) [194][15/63] lr: 1.0000e-04 eta: 16:10:57 time: 0.7983 data_time: 0.0168 memory: 27786 loss: 0.0690 loss_text: 0.0436 loss_kernel: 0.0254 2022/11/01 21:14:03 - mmengine - INFO - Epoch(train) [194][20/63] lr: 1.0000e-04 eta: 16:10:00 time: 0.7945 data_time: 0.0191 memory: 27786 loss: 0.0686 loss_text: 0.0426 loss_kernel: 0.0260 2022/11/01 21:14:07 - mmengine - INFO - Epoch(train) [194][25/63] lr: 1.0000e-04 eta: 16:10:00 time: 0.7908 data_time: 0.0324 memory: 27786 loss: 0.0605 loss_text: 0.0370 loss_kernel: 0.0234 2022/11/01 21:14:11 - mmengine - INFO - Epoch(train) [194][30/63] lr: 1.0000e-04 eta: 16:09:02 time: 0.7780 data_time: 0.0188 memory: 27786 loss: 0.0684 loss_text: 0.0426 loss_kernel: 0.0258 2022/11/01 21:14:15 - mmengine - INFO - Epoch(train) [194][35/63] lr: 1.0000e-04 eta: 16:09:02 time: 0.7857 data_time: 0.0182 memory: 27786 loss: 0.0731 loss_text: 0.0459 loss_kernel: 0.0272 2022/11/01 21:14:19 - mmengine - INFO - Epoch(train) [194][40/63] lr: 1.0000e-04 eta: 16:08:05 time: 0.7885 data_time: 0.0225 memory: 27786 loss: 0.0621 loss_text: 0.0373 loss_kernel: 0.0247 2022/11/01 21:14:23 - mmengine - INFO - Epoch(train) [194][45/63] lr: 1.0000e-04 eta: 16:08:05 time: 0.7829 data_time: 0.0260 memory: 27786 loss: 0.0683 loss_text: 0.0417 loss_kernel: 0.0266 2022/11/01 21:14:27 - mmengine - INFO - Epoch(train) [194][50/63] lr: 1.0000e-04 eta: 16:07:07 time: 0.7922 data_time: 0.0326 memory: 27786 loss: 0.0664 loss_text: 0.0414 loss_kernel: 0.0250 2022/11/01 21:14:31 - mmengine - INFO - Epoch(train) [194][55/63] lr: 1.0000e-04 eta: 16:07:07 time: 0.7765 data_time: 0.0189 memory: 27786 loss: 0.0543 loss_text: 0.0332 loss_kernel: 0.0211 2022/11/01 21:14:34 - mmengine - INFO - Epoch(train) [194][60/63] lr: 1.0000e-04 eta: 16:06:10 time: 0.7690 data_time: 0.0158 memory: 27786 loss: 0.0607 loss_text: 0.0375 loss_kernel: 0.0232 2022/11/01 21:14:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:16:16 - mmengine - INFO - Epoch(train) [195][5/63] lr: 1.0000e-04 eta: 16:06:10 time: 10.3196 data_time: 9.6024 memory: 27786 loss: 0.0619 loss_text: 0.0383 loss_kernel: 0.0236 2022/11/01 21:16:20 - mmengine - INFO - Epoch(train) [195][10/63] lr: 1.0000e-04 eta: 16:08:34 time: 10.3825 data_time: 9.6214 memory: 27786 loss: 0.0543 loss_text: 0.0326 loss_kernel: 0.0217 2022/11/01 21:16:24 - mmengine - INFO - Epoch(train) [195][15/63] lr: 1.0000e-04 eta: 16:08:34 time: 0.7983 data_time: 0.0370 memory: 27786 loss: 0.0583 loss_text: 0.0351 loss_kernel: 0.0232 2022/11/01 21:16:28 - mmengine - INFO - Epoch(train) [195][20/63] lr: 1.0000e-04 eta: 16:07:36 time: 0.7780 data_time: 0.0279 memory: 27786 loss: 0.0699 loss_text: 0.0434 loss_kernel: 0.0265 2022/11/01 21:16:32 - mmengine - INFO - Epoch(train) [195][25/63] lr: 1.0000e-04 eta: 16:07:36 time: 0.7774 data_time: 0.0278 memory: 27786 loss: 0.0655 loss_text: 0.0409 loss_kernel: 0.0246 2022/11/01 21:16:36 - mmengine - INFO - Epoch(train) [195][30/63] lr: 1.0000e-04 eta: 16:06:39 time: 0.7814 data_time: 0.0264 memory: 27786 loss: 0.0587 loss_text: 0.0360 loss_kernel: 0.0227 2022/11/01 21:16:40 - mmengine - INFO - Epoch(train) [195][35/63] lr: 1.0000e-04 eta: 16:06:39 time: 0.7880 data_time: 0.0245 memory: 27786 loss: 0.0605 loss_text: 0.0374 loss_kernel: 0.0230 2022/11/01 21:16:44 - mmengine - INFO - Epoch(train) [195][40/63] lr: 1.0000e-04 eta: 16:05:42 time: 0.7853 data_time: 0.0250 memory: 27786 loss: 0.0535 loss_text: 0.0330 loss_kernel: 0.0205 2022/11/01 21:16:48 - mmengine - INFO - Epoch(train) [195][45/63] lr: 1.0000e-04 eta: 16:05:42 time: 0.7834 data_time: 0.0231 memory: 27786 loss: 0.0557 loss_text: 0.0339 loss_kernel: 0.0218 2022/11/01 21:16:52 - mmengine - INFO - Epoch(train) [195][50/63] lr: 1.0000e-04 eta: 16:04:44 time: 0.7846 data_time: 0.0218 memory: 27786 loss: 0.0613 loss_text: 0.0366 loss_kernel: 0.0247 2022/11/01 21:16:56 - mmengine - INFO - Epoch(train) [195][55/63] lr: 1.0000e-04 eta: 16:04:44 time: 0.7774 data_time: 0.0292 memory: 27786 loss: 0.0660 loss_text: 0.0399 loss_kernel: 0.0261 2022/11/01 21:16:59 - mmengine - INFO - Epoch(train) [195][60/63] lr: 1.0000e-04 eta: 16:03:47 time: 0.7756 data_time: 0.0259 memory: 27786 loss: 0.0630 loss_text: 0.0392 loss_kernel: 0.0239 2022/11/01 21:17:01 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:18:45 - mmengine - INFO - Epoch(train) [196][5/63] lr: 1.0000e-04 eta: 16:03:47 time: 10.6771 data_time: 9.9347 memory: 27786 loss: 0.0604 loss_text: 0.0375 loss_kernel: 0.0229 2022/11/01 21:18:49 - mmengine - INFO - Epoch(train) [196][10/63] lr: 1.0000e-04 eta: 16:06:18 time: 10.7325 data_time: 9.9609 memory: 27786 loss: 0.0705 loss_text: 0.0442 loss_kernel: 0.0263 2022/11/01 21:18:53 - mmengine - INFO - Epoch(train) [196][15/63] lr: 1.0000e-04 eta: 16:06:18 time: 0.8067 data_time: 0.0418 memory: 27786 loss: 0.0739 loss_text: 0.0462 loss_kernel: 0.0277 2022/11/01 21:18:57 - mmengine - INFO - Epoch(train) [196][20/63] lr: 1.0000e-04 eta: 16:05:21 time: 0.7919 data_time: 0.0303 memory: 27786 loss: 0.0617 loss_text: 0.0382 loss_kernel: 0.0235 2022/11/01 21:19:01 - mmengine - INFO - Epoch(train) [196][25/63] lr: 1.0000e-04 eta: 16:05:21 time: 0.7994 data_time: 0.0387 memory: 27786 loss: 0.0584 loss_text: 0.0356 loss_kernel: 0.0228 2022/11/01 21:19:05 - mmengine - INFO - Epoch(train) [196][30/63] lr: 1.0000e-04 eta: 16:04:24 time: 0.7896 data_time: 0.0260 memory: 27786 loss: 0.0651 loss_text: 0.0395 loss_kernel: 0.0256 2022/11/01 21:19:09 - mmengine - INFO - Epoch(train) [196][35/63] lr: 1.0000e-04 eta: 16:04:24 time: 0.7817 data_time: 0.0208 memory: 27786 loss: 0.0619 loss_text: 0.0374 loss_kernel: 0.0245 2022/11/01 21:19:13 - mmengine - INFO - Epoch(train) [196][40/63] lr: 1.0000e-04 eta: 16:03:27 time: 0.7843 data_time: 0.0220 memory: 27786 loss: 0.0639 loss_text: 0.0400 loss_kernel: 0.0240 2022/11/01 21:19:17 - mmengine - INFO - Epoch(train) [196][45/63] lr: 1.0000e-04 eta: 16:03:27 time: 0.8001 data_time: 0.0232 memory: 27786 loss: 0.0750 loss_text: 0.0477 loss_kernel: 0.0273 2022/11/01 21:19:21 - mmengine - INFO - Epoch(train) [196][50/63] lr: 1.0000e-04 eta: 16:02:31 time: 0.8063 data_time: 0.0288 memory: 27786 loss: 0.0648 loss_text: 0.0405 loss_kernel: 0.0243 2022/11/01 21:19:24 - mmengine - INFO - Epoch(train) [196][55/63] lr: 1.0000e-04 eta: 16:02:31 time: 0.7847 data_time: 0.0279 memory: 27786 loss: 0.0740 loss_text: 0.0464 loss_kernel: 0.0277 2022/11/01 21:19:28 - mmengine - INFO - Epoch(train) [196][60/63] lr: 1.0000e-04 eta: 16:01:34 time: 0.7799 data_time: 0.0191 memory: 27786 loss: 0.0839 loss_text: 0.0526 loss_kernel: 0.0313 2022/11/01 21:19:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:21:15 - mmengine - INFO - Epoch(train) [197][5/63] lr: 1.0000e-04 eta: 16:01:34 time: 10.8203 data_time: 10.0729 memory: 27786 loss: 0.0654 loss_text: 0.0403 loss_kernel: 0.0250 2022/11/01 21:21:19 - mmengine - INFO - Epoch(train) [197][10/63] lr: 1.0000e-04 eta: 16:04:06 time: 10.8795 data_time: 10.0886 memory: 27786 loss: 0.0583 loss_text: 0.0353 loss_kernel: 0.0231 2022/11/01 21:21:23 - mmengine - INFO - Epoch(train) [197][15/63] lr: 1.0000e-04 eta: 16:04:06 time: 0.7979 data_time: 0.0258 memory: 27786 loss: 0.0568 loss_text: 0.0338 loss_kernel: 0.0231 2022/11/01 21:21:27 - mmengine - INFO - Epoch(train) [197][20/63] lr: 1.0000e-04 eta: 16:03:09 time: 0.7809 data_time: 0.0192 memory: 27786 loss: 0.0577 loss_text: 0.0340 loss_kernel: 0.0238 2022/11/01 21:21:31 - mmengine - INFO - Epoch(train) [197][25/63] lr: 1.0000e-04 eta: 16:03:09 time: 0.8066 data_time: 0.0314 memory: 27786 loss: 0.0624 loss_text: 0.0377 loss_kernel: 0.0247 2022/11/01 21:21:35 - mmengine - INFO - Epoch(train) [197][30/63] lr: 1.0000e-04 eta: 16:02:13 time: 0.7949 data_time: 0.0187 memory: 27786 loss: 0.0678 loss_text: 0.0440 loss_kernel: 0.0239 2022/11/01 21:21:39 - mmengine - INFO - Epoch(train) [197][35/63] lr: 1.0000e-04 eta: 16:02:13 time: 0.7975 data_time: 0.0169 memory: 27786 loss: 0.0676 loss_text: 0.0437 loss_kernel: 0.0238 2022/11/01 21:21:43 - mmengine - INFO - Epoch(train) [197][40/63] lr: 1.0000e-04 eta: 16:01:17 time: 0.8211 data_time: 0.0321 memory: 27786 loss: 0.0595 loss_text: 0.0369 loss_kernel: 0.0226 2022/11/01 21:21:47 - mmengine - INFO - Epoch(train) [197][45/63] lr: 1.0000e-04 eta: 16:01:17 time: 0.8097 data_time: 0.0303 memory: 27786 loss: 0.0547 loss_text: 0.0328 loss_kernel: 0.0219 2022/11/01 21:21:51 - mmengine - INFO - Epoch(train) [197][50/63] lr: 1.0000e-04 eta: 16:00:21 time: 0.7968 data_time: 0.0272 memory: 27786 loss: 0.0617 loss_text: 0.0377 loss_kernel: 0.0240 2022/11/01 21:21:55 - mmengine - INFO - Epoch(train) [197][55/63] lr: 1.0000e-04 eta: 16:00:21 time: 0.7847 data_time: 0.0198 memory: 27786 loss: 0.0609 loss_text: 0.0374 loss_kernel: 0.0234 2022/11/01 21:21:59 - mmengine - INFO - Epoch(train) [197][60/63] lr: 1.0000e-04 eta: 15:59:24 time: 0.7876 data_time: 0.0149 memory: 27786 loss: 0.0548 loss_text: 0.0332 loss_kernel: 0.0216 2022/11/01 21:22:01 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:23:45 - mmengine - INFO - Epoch(train) [198][5/63] lr: 1.0000e-04 eta: 15:59:24 time: 10.7625 data_time: 10.0154 memory: 27786 loss: 0.0626 loss_text: 0.0394 loss_kernel: 0.0232 2022/11/01 21:23:49 - mmengine - INFO - Epoch(train) [198][10/63] lr: 1.0000e-04 eta: 16:01:54 time: 10.8284 data_time: 10.0430 memory: 27786 loss: 0.0617 loss_text: 0.0393 loss_kernel: 0.0225 2022/11/01 21:23:54 - mmengine - INFO - Epoch(train) [198][15/63] lr: 1.0000e-04 eta: 16:01:54 time: 0.8252 data_time: 0.0346 memory: 27786 loss: 0.0543 loss_text: 0.0335 loss_kernel: 0.0208 2022/11/01 21:23:58 - mmengine - INFO - Epoch(train) [198][20/63] lr: 1.0000e-04 eta: 16:00:58 time: 0.8109 data_time: 0.0162 memory: 27786 loss: 0.0615 loss_text: 0.0378 loss_kernel: 0.0237 2022/11/01 21:24:02 - mmengine - INFO - Epoch(train) [198][25/63] lr: 1.0000e-04 eta: 16:00:58 time: 0.8065 data_time: 0.0240 memory: 27786 loss: 0.0799 loss_text: 0.0505 loss_kernel: 0.0293 2022/11/01 21:24:06 - mmengine - INFO - Epoch(train) [198][30/63] lr: 1.0000e-04 eta: 16:00:02 time: 0.7987 data_time: 0.0230 memory: 27786 loss: 0.0773 loss_text: 0.0496 loss_kernel: 0.0277 2022/11/01 21:24:10 - mmengine - INFO - Epoch(train) [198][35/63] lr: 1.0000e-04 eta: 16:00:02 time: 0.8075 data_time: 0.0297 memory: 27786 loss: 0.0663 loss_text: 0.0417 loss_kernel: 0.0247 2022/11/01 21:24:14 - mmengine - INFO - Epoch(train) [198][40/63] lr: 1.0000e-04 eta: 15:59:06 time: 0.8090 data_time: 0.0264 memory: 27786 loss: 0.0716 loss_text: 0.0434 loss_kernel: 0.0282 2022/11/01 21:24:18 - mmengine - INFO - Epoch(train) [198][45/63] lr: 1.0000e-04 eta: 15:59:06 time: 0.7993 data_time: 0.0214 memory: 27786 loss: 0.0670 loss_text: 0.0400 loss_kernel: 0.0270 2022/11/01 21:24:22 - mmengine - INFO - Epoch(train) [198][50/63] lr: 1.0000e-04 eta: 15:58:10 time: 0.8131 data_time: 0.0314 memory: 27786 loss: 0.0588 loss_text: 0.0354 loss_kernel: 0.0234 2022/11/01 21:24:26 - mmengine - INFO - Epoch(train) [198][55/63] lr: 1.0000e-04 eta: 15:58:10 time: 0.8103 data_time: 0.0265 memory: 27786 loss: 0.0641 loss_text: 0.0397 loss_kernel: 0.0244 2022/11/01 21:24:30 - mmengine - INFO - Epoch(train) [198][60/63] lr: 1.0000e-04 eta: 15:57:14 time: 0.7870 data_time: 0.0157 memory: 27786 loss: 0.0697 loss_text: 0.0437 loss_kernel: 0.0261 2022/11/01 21:24:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:26:19 - mmengine - INFO - Epoch(train) [199][5/63] lr: 1.0000e-04 eta: 15:57:14 time: 11.1070 data_time: 10.3764 memory: 27786 loss: 0.0560 loss_text: 0.0342 loss_kernel: 0.0218 2022/11/01 21:26:23 - mmengine - INFO - Epoch(train) [199][10/63] lr: 1.0000e-04 eta: 15:59:50 time: 11.1767 data_time: 10.3942 memory: 27786 loss: 0.0590 loss_text: 0.0354 loss_kernel: 0.0236 2022/11/01 21:26:27 - mmengine - INFO - Epoch(train) [199][15/63] lr: 1.0000e-04 eta: 15:59:50 time: 0.8161 data_time: 0.0270 memory: 27786 loss: 0.0632 loss_text: 0.0380 loss_kernel: 0.0252 2022/11/01 21:26:31 - mmengine - INFO - Epoch(train) [199][20/63] lr: 1.0000e-04 eta: 15:58:54 time: 0.7926 data_time: 0.0188 memory: 27786 loss: 0.0595 loss_text: 0.0363 loss_kernel: 0.0232 2022/11/01 21:26:35 - mmengine - INFO - Epoch(train) [199][25/63] lr: 1.0000e-04 eta: 15:58:54 time: 0.7954 data_time: 0.0225 memory: 27786 loss: 0.0613 loss_text: 0.0380 loss_kernel: 0.0233 2022/11/01 21:26:40 - mmengine - INFO - Epoch(train) [199][30/63] lr: 1.0000e-04 eta: 15:57:59 time: 0.8176 data_time: 0.0272 memory: 27786 loss: 0.0687 loss_text: 0.0436 loss_kernel: 0.0251 2022/11/01 21:26:44 - mmengine - INFO - Epoch(train) [199][35/63] lr: 1.0000e-04 eta: 15:57:59 time: 0.8271 data_time: 0.0284 memory: 27786 loss: 0.0620 loss_text: 0.0375 loss_kernel: 0.0245 2022/11/01 21:26:48 - mmengine - INFO - Epoch(train) [199][40/63] lr: 1.0000e-04 eta: 15:57:03 time: 0.8064 data_time: 0.0195 memory: 27786 loss: 0.0547 loss_text: 0.0320 loss_kernel: 0.0226 2022/11/01 21:26:52 - mmengine - INFO - Epoch(train) [199][45/63] lr: 1.0000e-04 eta: 15:57:03 time: 0.7896 data_time: 0.0234 memory: 27786 loss: 0.0536 loss_text: 0.0321 loss_kernel: 0.0215 2022/11/01 21:26:56 - mmengine - INFO - Epoch(train) [199][50/63] lr: 1.0000e-04 eta: 15:56:07 time: 0.7894 data_time: 0.0259 memory: 27786 loss: 0.0630 loss_text: 0.0386 loss_kernel: 0.0245 2022/11/01 21:26:59 - mmengine - INFO - Epoch(train) [199][55/63] lr: 1.0000e-04 eta: 15:56:07 time: 0.7915 data_time: 0.0214 memory: 27786 loss: 0.0627 loss_text: 0.0388 loss_kernel: 0.0239 2022/11/01 21:27:03 - mmengine - INFO - Epoch(train) [199][60/63] lr: 1.0000e-04 eta: 15:55:11 time: 0.7852 data_time: 0.0190 memory: 27786 loss: 0.0544 loss_text: 0.0332 loss_kernel: 0.0212 2022/11/01 21:27:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:28:52 - mmengine - INFO - Epoch(train) [200][5/63] lr: 1.0000e-04 eta: 15:55:11 time: 11.0566 data_time: 10.3051 memory: 27786 loss: 0.0575 loss_text: 0.0349 loss_kernel: 0.0226 2022/11/01 21:28:56 - mmengine - INFO - Epoch(train) [200][10/63] lr: 1.0000e-04 eta: 15:57:44 time: 11.1000 data_time: 10.3075 memory: 27786 loss: 0.0586 loss_text: 0.0358 loss_kernel: 0.0228 2022/11/01 21:29:01 - mmengine - INFO - Epoch(train) [200][15/63] lr: 1.0000e-04 eta: 15:57:44 time: 0.8099 data_time: 0.0228 memory: 27786 loss: 0.0603 loss_text: 0.0382 loss_kernel: 0.0221 2022/11/01 21:29:05 - mmengine - INFO - Epoch(train) [200][20/63] lr: 1.0000e-04 eta: 15:56:49 time: 0.8114 data_time: 0.0315 memory: 27786 loss: 0.0672 loss_text: 0.0431 loss_kernel: 0.0241 2022/11/01 21:29:09 - mmengine - INFO - Epoch(train) [200][25/63] lr: 1.0000e-04 eta: 15:56:49 time: 0.7956 data_time: 0.0237 memory: 27786 loss: 0.0670 loss_text: 0.0425 loss_kernel: 0.0245 2022/11/01 21:29:13 - mmengine - INFO - Epoch(train) [200][30/63] lr: 1.0000e-04 eta: 15:55:53 time: 0.7896 data_time: 0.0194 memory: 27786 loss: 0.0590 loss_text: 0.0370 loss_kernel: 0.0220 2022/11/01 21:29:17 - mmengine - INFO - Epoch(train) [200][35/63] lr: 1.0000e-04 eta: 15:55:53 time: 0.7996 data_time: 0.0278 memory: 27786 loss: 0.0546 loss_text: 0.0338 loss_kernel: 0.0209 2022/11/01 21:29:20 - mmengine - INFO - Epoch(train) [200][40/63] lr: 1.0000e-04 eta: 15:54:57 time: 0.7859 data_time: 0.0192 memory: 27786 loss: 0.0625 loss_text: 0.0385 loss_kernel: 0.0240 2022/11/01 21:29:24 - mmengine - INFO - Epoch(train) [200][45/63] lr: 1.0000e-04 eta: 15:54:57 time: 0.7861 data_time: 0.0197 memory: 27786 loss: 0.0670 loss_text: 0.0408 loss_kernel: 0.0262 2022/11/01 21:29:28 - mmengine - INFO - Epoch(train) [200][50/63] lr: 1.0000e-04 eta: 15:54:01 time: 0.8066 data_time: 0.0211 memory: 27786 loss: 0.0714 loss_text: 0.0443 loss_kernel: 0.0270 2022/11/01 21:29:32 - mmengine - INFO - Epoch(train) [200][55/63] lr: 1.0000e-04 eta: 15:54:01 time: 0.8031 data_time: 0.0200 memory: 27786 loss: 0.0722 loss_text: 0.0447 loss_kernel: 0.0275 2022/11/01 21:29:36 - mmengine - INFO - Epoch(train) [200][60/63] lr: 1.0000e-04 eta: 15:53:06 time: 0.7988 data_time: 0.0259 memory: 27786 loss: 0.0634 loss_text: 0.0381 loss_kernel: 0.0253 2022/11/01 21:29:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:29:38 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/11/01 21:30:20 - mmengine - INFO - Epoch(val) [200][5/500] eta: 15:53:06 time: 3.6870 data_time: 3.6393 memory: 27786 2022/11/01 21:30:20 - mmengine - INFO - Epoch(val) [200][10/500] eta: 0:30:06 time: 3.6873 data_time: 3.6307 memory: 2082 2022/11/01 21:30:21 - mmengine - INFO - Epoch(val) [200][15/500] eta: 0:30:06 time: 0.0580 data_time: 0.0023 memory: 2007 2022/11/01 21:30:21 - mmengine - INFO - Epoch(val) [200][20/500] eta: 0:00:24 time: 0.0508 data_time: 0.0021 memory: 1705 2022/11/01 21:30:21 - mmengine - INFO - Epoch(val) [200][25/500] eta: 0:00:24 time: 0.0428 data_time: 0.0021 memory: 1705 2022/11/01 21:30:21 - mmengine - INFO - Epoch(val) [200][30/500] eta: 0:00:22 time: 0.0488 data_time: 0.0073 memory: 1705 2022/11/01 21:30:22 - mmengine - INFO - Epoch(val) [200][35/500] eta: 0:00:22 time: 0.0517 data_time: 0.0072 memory: 1705 2022/11/01 21:30:22 - mmengine - INFO - Epoch(val) [200][40/500] eta: 0:00:20 time: 0.0455 data_time: 0.0021 memory: 1743 2022/11/01 21:30:22 - mmengine - INFO - Epoch(val) [200][45/500] eta: 0:00:20 time: 0.0465 data_time: 0.0022 memory: 2082 2022/11/01 21:30:22 - mmengine - INFO - Epoch(val) [200][50/500] eta: 0:00:21 time: 0.0486 data_time: 0.0023 memory: 1818 2022/11/01 21:30:23 - mmengine - INFO - Epoch(val) [200][55/500] eta: 0:00:21 time: 0.0452 data_time: 0.0023 memory: 1781 2022/11/01 21:30:23 - mmengine - INFO - Epoch(val) [200][60/500] eta: 0:00:19 time: 0.0449 data_time: 0.0022 memory: 1705 2022/11/01 21:30:23 - mmengine - INFO - Epoch(val) [200][65/500] eta: 0:00:19 time: 0.0474 data_time: 0.0021 memory: 1818 2022/11/01 21:30:23 - mmengine - INFO - Epoch(val) [200][70/500] eta: 0:00:19 time: 0.0460 data_time: 0.0021 memory: 2082 2022/11/01 21:30:24 - mmengine - INFO - Epoch(val) [200][75/500] eta: 0:00:19 time: 0.0497 data_time: 0.0020 memory: 1818 2022/11/01 21:30:24 - mmengine - INFO - Epoch(val) [200][80/500] eta: 0:00:23 time: 0.0559 data_time: 0.0102 memory: 1705 2022/11/01 21:30:24 - mmengine - INFO - Epoch(val) [200][85/500] eta: 0:00:23 time: 0.0501 data_time: 0.0103 memory: 1705 2022/11/01 21:30:24 - mmengine - INFO - Epoch(val) [200][90/500] eta: 0:00:23 time: 0.0567 data_time: 0.0105 memory: 2082 2022/11/01 21:30:25 - mmengine - INFO - Epoch(val) [200][95/500] eta: 0:00:23 time: 0.0573 data_time: 0.0103 memory: 1743 2022/11/01 21:30:25 - mmengine - INFO - Epoch(val) [200][100/500] eta: 0:00:16 time: 0.0425 data_time: 0.0021 memory: 2082 2022/11/01 21:30:25 - mmengine - INFO - Epoch(val) [200][105/500] eta: 0:00:16 time: 0.0429 data_time: 0.0021 memory: 1705 2022/11/01 21:30:25 - mmengine - INFO - Epoch(val) [200][110/500] eta: 0:00:17 time: 0.0454 data_time: 0.0021 memory: 2082 2022/11/01 21:30:26 - mmengine - INFO - Epoch(val) [200][115/500] eta: 0:00:17 time: 0.0452 data_time: 0.0021 memory: 1705 2022/11/01 21:30:26 - mmengine - INFO - Epoch(val) [200][120/500] eta: 0:00:26 time: 0.0685 data_time: 0.0196 memory: 1705 2022/11/01 21:30:26 - mmengine - INFO - Epoch(val) [200][125/500] eta: 0:00:26 time: 0.0785 data_time: 0.0196 memory: 2082 2022/11/01 21:30:27 - mmengine - INFO - Epoch(val) [200][130/500] eta: 0:00:19 time: 0.0521 data_time: 0.0025 memory: 1705 2022/11/01 21:30:27 - mmengine - INFO - Epoch(val) [200][135/500] eta: 0:00:19 time: 0.0444 data_time: 0.0025 memory: 1856 2022/11/01 21:30:27 - mmengine - INFO - Epoch(val) [200][140/500] eta: 0:00:16 time: 0.0472 data_time: 0.0022 memory: 1705 2022/11/01 21:30:27 - mmengine - INFO - Epoch(val) [200][145/500] eta: 0:00:16 time: 0.0468 data_time: 0.0023 memory: 2044 2022/11/01 21:30:27 - mmengine - INFO - Epoch(val) [200][150/500] eta: 0:00:15 time: 0.0450 data_time: 0.0023 memory: 1705 2022/11/01 21:30:28 - mmengine - INFO - Epoch(val) [200][155/500] eta: 0:00:15 time: 0.0518 data_time: 0.0023 memory: 1969 2022/11/01 21:30:28 - mmengine - INFO - Epoch(val) [200][160/500] eta: 0:00:19 time: 0.0586 data_time: 0.0022 memory: 2082 2022/11/01 21:30:28 - mmengine - INFO - Epoch(val) [200][165/500] eta: 0:00:19 time: 0.0500 data_time: 0.0021 memory: 1781 2022/11/01 21:30:29 - mmengine - INFO - Epoch(val) [200][170/500] eta: 0:00:17 time: 0.0527 data_time: 0.0025 memory: 1969 2022/11/01 21:30:29 - mmengine - INFO - Epoch(val) [200][175/500] eta: 0:00:17 time: 0.0529 data_time: 0.0025 memory: 2082 2022/11/01 21:30:29 - mmengine - INFO - Epoch(val) [200][180/500] eta: 0:00:14 time: 0.0445 data_time: 0.0022 memory: 2082 2022/11/01 21:30:29 - mmengine - INFO - Epoch(val) [200][185/500] eta: 0:00:14 time: 0.0482 data_time: 0.0023 memory: 1705 2022/11/01 21:30:30 - mmengine - INFO - Epoch(val) [200][190/500] eta: 0:00:22 time: 0.0711 data_time: 0.0238 memory: 1818 2022/11/01 21:30:30 - mmengine - INFO - Epoch(val) [200][195/500] eta: 0:00:22 time: 0.0667 data_time: 0.0238 memory: 1781 2022/11/01 21:30:30 - mmengine - INFO - Epoch(val) [200][200/500] eta: 0:00:12 time: 0.0413 data_time: 0.0020 memory: 1781 2022/11/01 21:30:30 - mmengine - INFO - Epoch(val) [200][205/500] eta: 0:00:12 time: 0.0394 data_time: 0.0019 memory: 1705 2022/11/01 21:30:31 - mmengine - INFO - Epoch(val) [200][210/500] eta: 0:00:13 time: 0.0475 data_time: 0.0021 memory: 2082 2022/11/01 21:30:31 - mmengine - INFO - Epoch(val) [200][215/500] eta: 0:00:13 time: 0.0489 data_time: 0.0021 memory: 1705 2022/11/01 21:30:31 - mmengine - INFO - Epoch(val) [200][220/500] eta: 0:00:12 time: 0.0431 data_time: 0.0020 memory: 1856 2022/11/01 21:30:32 - mmengine - INFO - Epoch(val) [200][225/500] eta: 0:00:12 time: 0.0795 data_time: 0.0364 memory: 2082 2022/11/01 21:30:32 - mmengine - INFO - Epoch(val) [200][230/500] eta: 0:00:24 time: 0.0923 data_time: 0.0365 memory: 1705 2022/11/01 21:30:32 - mmengine - INFO - Epoch(val) [200][235/500] eta: 0:00:24 time: 0.0589 data_time: 0.0023 memory: 2082 2022/11/01 21:30:32 - mmengine - INFO - Epoch(val) [200][240/500] eta: 0:00:14 time: 0.0539 data_time: 0.0024 memory: 2082 2022/11/01 21:30:33 - mmengine - INFO - Epoch(val) [200][245/500] eta: 0:00:14 time: 0.0549 data_time: 0.0023 memory: 2082 2022/11/01 21:30:33 - mmengine - INFO - Epoch(val) [200][250/500] eta: 0:00:11 time: 0.0467 data_time: 0.0020 memory: 1705 2022/11/01 21:30:33 - mmengine - INFO - Epoch(val) [200][255/500] eta: 0:00:11 time: 0.0684 data_time: 0.0019 memory: 1743 2022/11/01 21:30:34 - mmengine - INFO - Epoch(val) [200][260/500] eta: 0:00:25 time: 0.1077 data_time: 0.0414 memory: 1705 2022/11/01 21:30:34 - mmengine - INFO - Epoch(val) [200][265/500] eta: 0:00:25 time: 0.0847 data_time: 0.0415 memory: 2007 2022/11/01 21:30:35 - mmengine - INFO - Epoch(val) [200][270/500] eta: 0:00:21 time: 0.0921 data_time: 0.0467 memory: 1931 2022/11/01 21:30:35 - mmengine - INFO - Epoch(val) [200][275/500] eta: 0:00:21 time: 0.0979 data_time: 0.0470 memory: 2082 2022/11/01 21:30:35 - mmengine - INFO - Epoch(val) [200][280/500] eta: 0:00:10 time: 0.0497 data_time: 0.0025 memory: 2007 2022/11/01 21:30:36 - mmengine - INFO - Epoch(val) [200][285/500] eta: 0:00:10 time: 0.0542 data_time: 0.0115 memory: 1705 2022/11/01 21:30:36 - mmengine - INFO - Epoch(val) [200][290/500] eta: 0:00:12 time: 0.0596 data_time: 0.0115 memory: 2082 2022/11/01 21:30:36 - mmengine - INFO - Epoch(val) [200][295/500] eta: 0:00:12 time: 0.0474 data_time: 0.0023 memory: 1818 2022/11/01 21:30:37 - mmengine - INFO - Epoch(val) [200][300/500] eta: 0:00:09 time: 0.0482 data_time: 0.0022 memory: 1743 2022/11/01 21:30:37 - mmengine - INFO - Epoch(val) [200][305/500] eta: 0:00:09 time: 0.0688 data_time: 0.0275 memory: 1705 2022/11/01 21:30:37 - mmengine - INFO - Epoch(val) [200][310/500] eta: 0:00:12 time: 0.0678 data_time: 0.0274 memory: 1781 2022/11/01 21:30:37 - mmengine - INFO - Epoch(val) [200][315/500] eta: 0:00:12 time: 0.0524 data_time: 0.0019 memory: 2007 2022/11/01 21:30:38 - mmengine - INFO - Epoch(val) [200][320/500] eta: 0:00:09 time: 0.0508 data_time: 0.0019 memory: 2007 2022/11/01 21:30:38 - mmengine - INFO - Epoch(val) [200][325/500] eta: 0:00:09 time: 0.0478 data_time: 0.0019 memory: 2082 2022/11/01 21:30:38 - mmengine - INFO - Epoch(val) [200][330/500] eta: 0:00:10 time: 0.0636 data_time: 0.0175 memory: 1743 2022/11/01 21:30:39 - mmengine - INFO - Epoch(val) [200][335/500] eta: 0:00:10 time: 0.0639 data_time: 0.0175 memory: 1931 2022/11/01 21:30:39 - mmengine - INFO - Epoch(val) [200][340/500] eta: 0:00:07 time: 0.0465 data_time: 0.0019 memory: 2044 2022/11/01 21:30:39 - mmengine - INFO - Epoch(val) [200][345/500] eta: 0:00:07 time: 0.0407 data_time: 0.0021 memory: 1931 2022/11/01 21:30:39 - mmengine - INFO - Epoch(val) [200][350/500] eta: 0:00:06 time: 0.0457 data_time: 0.0022 memory: 1705 2022/11/01 21:30:40 - mmengine - INFO - Epoch(val) [200][355/500] eta: 0:00:06 time: 0.0577 data_time: 0.0022 memory: 2044 2022/11/01 21:30:40 - mmengine - INFO - Epoch(val) [200][360/500] eta: 0:00:07 time: 0.0504 data_time: 0.0022 memory: 1743 2022/11/01 21:30:40 - mmengine - INFO - Epoch(val) [200][365/500] eta: 0:00:07 time: 0.0422 data_time: 0.0031 memory: 1592 2022/11/01 21:30:40 - mmengine - INFO - Epoch(val) [200][370/500] eta: 0:00:06 time: 0.0466 data_time: 0.0031 memory: 1818 2022/11/01 21:30:40 - mmengine - INFO - Epoch(val) [200][375/500] eta: 0:00:06 time: 0.0398 data_time: 0.0020 memory: 1705 2022/11/01 21:30:41 - mmengine - INFO - Epoch(val) [200][380/500] eta: 0:00:04 time: 0.0378 data_time: 0.0021 memory: 2044 2022/11/01 21:30:41 - mmengine - INFO - Epoch(val) [200][385/500] eta: 0:00:04 time: 0.0439 data_time: 0.0021 memory: 2044 2022/11/01 21:30:41 - mmengine - INFO - Epoch(val) [200][390/500] eta: 0:00:05 time: 0.0489 data_time: 0.0022 memory: 2082 2022/11/01 21:30:41 - mmengine - INFO - Epoch(val) [200][395/500] eta: 0:00:05 time: 0.0620 data_time: 0.0021 memory: 1705 2022/11/01 21:30:42 - mmengine - INFO - Epoch(val) [200][400/500] eta: 0:00:06 time: 0.0614 data_time: 0.0020 memory: 2044 2022/11/01 21:30:42 - mmengine - INFO - Epoch(val) [200][405/500] eta: 0:00:06 time: 0.0489 data_time: 0.0019 memory: 2044 2022/11/01 21:30:42 - mmengine - INFO - Epoch(val) [200][410/500] eta: 0:00:04 time: 0.0460 data_time: 0.0019 memory: 1818 2022/11/01 21:30:42 - mmengine - INFO - Epoch(val) [200][415/500] eta: 0:00:04 time: 0.0476 data_time: 0.0021 memory: 1705 2022/11/01 21:30:43 - mmengine - INFO - Epoch(val) [200][420/500] eta: 0:00:04 time: 0.0610 data_time: 0.0024 memory: 2007 2022/11/01 21:30:43 - mmengine - INFO - Epoch(val) [200][425/500] eta: 0:00:04 time: 0.0613 data_time: 0.0024 memory: 1705 2022/11/01 21:30:44 - mmengine - INFO - Epoch(val) [200][430/500] eta: 0:00:11 time: 0.1620 data_time: 0.1163 memory: 2082 2022/11/01 21:30:45 - mmengine - INFO - Epoch(val) [200][435/500] eta: 0:00:11 time: 0.1601 data_time: 0.1163 memory: 1705 2022/11/01 21:30:45 - mmengine - INFO - Epoch(val) [200][440/500] eta: 0:00:03 time: 0.0624 data_time: 0.0210 memory: 1856 2022/11/01 21:30:45 - mmengine - INFO - Epoch(val) [200][445/500] eta: 0:00:03 time: 0.0644 data_time: 0.0210 memory: 2007 2022/11/01 21:30:46 - mmengine - INFO - Epoch(val) [200][450/500] eta: 0:00:02 time: 0.0455 data_time: 0.0021 memory: 1705 2022/11/01 21:30:46 - mmengine - INFO - Epoch(val) [200][455/500] eta: 0:00:02 time: 0.0520 data_time: 0.0023 memory: 2082 2022/11/01 21:30:46 - mmengine - INFO - Epoch(val) [200][460/500] eta: 0:00:02 time: 0.0551 data_time: 0.0022 memory: 1781 2022/11/01 21:30:46 - mmengine - INFO - Epoch(val) [200][465/500] eta: 0:00:02 time: 0.0458 data_time: 0.0021 memory: 1969 2022/11/01 21:30:46 - mmengine - INFO - Epoch(val) [200][470/500] eta: 0:00:01 time: 0.0420 data_time: 0.0022 memory: 1781 2022/11/01 21:30:47 - mmengine - INFO - Epoch(val) [200][475/500] eta: 0:00:01 time: 0.0474 data_time: 0.0021 memory: 2082 2022/11/01 21:30:47 - mmengine - INFO - Epoch(val) [200][480/500] eta: 0:00:01 time: 0.0539 data_time: 0.0021 memory: 2044 2022/11/01 21:30:47 - mmengine - INFO - Epoch(val) [200][485/500] eta: 0:00:01 time: 0.0472 data_time: 0.0021 memory: 1705 2022/11/01 21:30:47 - mmengine - INFO - Epoch(val) [200][490/500] eta: 0:00:00 time: 0.0396 data_time: 0.0021 memory: 1969 2022/11/01 21:30:48 - mmengine - INFO - Epoch(val) [200][495/500] eta: 0:00:00 time: 0.0531 data_time: 0.0117 memory: 2082 2022/11/01 21:30:48 - mmengine - INFO - Epoch(val) [200][500/500] eta: 0:00:00 time: 0.0529 data_time: 0.0115 memory: 1743 2022/11/01 21:30:48 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 21:30:48 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8130, precision: 0.4654, hmean: 0.5919 2022/11/01 21:30:48 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8130, precision: 0.4654, hmean: 0.5919 2022/11/01 21:30:48 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8130, precision: 0.4654, hmean: 0.5919 2022/11/01 21:30:48 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8130, precision: 0.4965, hmean: 0.6165 2022/11/01 21:30:48 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8127, precision: 0.6063, hmean: 0.6945 2022/11/01 21:30:48 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8111, precision: 0.7165, hmean: 0.7608 2022/11/01 21:30:48 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7873, precision: 0.7951, hmean: 0.7912 2022/11/01 21:30:48 - mmengine - INFO - Epoch(val) [200][500/500] icdar/precision: 0.7951 icdar/recall: 0.7873 icdar/hmean: 0.7912 2022/11/01 21:32:37 - mmengine - INFO - Epoch(train) [201][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 11.2175 data_time: 10.4697 memory: 27786 loss: 0.0570 loss_text: 0.0347 loss_kernel: 0.0223 2022/11/01 21:32:41 - mmengine - INFO - Epoch(train) [201][10/63] lr: 1.0000e-05 eta: 15:55:41 time: 11.2596 data_time: 10.4665 memory: 27786 loss: 0.0553 loss_text: 0.0335 loss_kernel: 0.0219 2022/11/01 21:32:45 - mmengine - INFO - Epoch(train) [201][15/63] lr: 1.0000e-05 eta: 15:55:41 time: 0.7979 data_time: 0.0255 memory: 27786 loss: 0.0544 loss_text: 0.0319 loss_kernel: 0.0225 2022/11/01 21:32:49 - mmengine - INFO - Epoch(train) [201][20/63] lr: 1.0000e-05 eta: 15:54:46 time: 0.8021 data_time: 0.0297 memory: 27786 loss: 0.0563 loss_text: 0.0329 loss_kernel: 0.0235 2022/11/01 21:32:53 - mmengine - INFO - Epoch(train) [201][25/63] lr: 1.0000e-05 eta: 15:54:46 time: 0.8041 data_time: 0.0225 memory: 27786 loss: 0.0665 loss_text: 0.0415 loss_kernel: 0.0250 2022/11/01 21:32:57 - mmengine - INFO - Epoch(train) [201][30/63] lr: 1.0000e-05 eta: 15:53:50 time: 0.7981 data_time: 0.0280 memory: 27786 loss: 0.0636 loss_text: 0.0395 loss_kernel: 0.0241 2022/11/01 21:33:01 - mmengine - INFO - Epoch(train) [201][35/63] lr: 1.0000e-05 eta: 15:53:50 time: 0.7897 data_time: 0.0269 memory: 27786 loss: 0.0633 loss_text: 0.0387 loss_kernel: 0.0246 2022/11/01 21:33:05 - mmengine - INFO - Epoch(train) [201][40/63] lr: 1.0000e-05 eta: 15:52:55 time: 0.7910 data_time: 0.0240 memory: 27786 loss: 0.0702 loss_text: 0.0441 loss_kernel: 0.0261 2022/11/01 21:33:09 - mmengine - INFO - Epoch(train) [201][45/63] lr: 1.0000e-05 eta: 15:52:55 time: 0.8125 data_time: 0.0343 memory: 27786 loss: 0.0596 loss_text: 0.0368 loss_kernel: 0.0228 2022/11/01 21:33:13 - mmengine - INFO - Epoch(train) [201][50/63] lr: 1.0000e-05 eta: 15:51:59 time: 0.8000 data_time: 0.0249 memory: 27786 loss: 0.0616 loss_text: 0.0376 loss_kernel: 0.0239 2022/11/01 21:33:17 - mmengine - INFO - Epoch(train) [201][55/63] lr: 1.0000e-05 eta: 15:51:59 time: 0.7814 data_time: 0.0182 memory: 27786 loss: 0.0667 loss_text: 0.0412 loss_kernel: 0.0255 2022/11/01 21:33:20 - mmengine - INFO - Epoch(train) [201][60/63] lr: 1.0000e-05 eta: 15:51:04 time: 0.7838 data_time: 0.0219 memory: 27786 loss: 0.0591 loss_text: 0.0364 loss_kernel: 0.0227 2022/11/01 21:33:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:35:12 - mmengine - INFO - Epoch(train) [202][5/63] lr: 1.0000e-05 eta: 15:51:04 time: 11.2910 data_time: 10.5436 memory: 27786 loss: 0.0582 loss_text: 0.0345 loss_kernel: 0.0237 2022/11/01 21:35:16 - mmengine - INFO - Epoch(train) [202][10/63] lr: 1.0000e-05 eta: 15:53:39 time: 11.3455 data_time: 10.5569 memory: 27786 loss: 0.0600 loss_text: 0.0357 loss_kernel: 0.0244 2022/11/01 21:35:20 - mmengine - INFO - Epoch(train) [202][15/63] lr: 1.0000e-05 eta: 15:53:39 time: 0.8037 data_time: 0.0260 memory: 27786 loss: 0.0666 loss_text: 0.0403 loss_kernel: 0.0263 2022/11/01 21:35:24 - mmengine - INFO - Epoch(train) [202][20/63] lr: 1.0000e-05 eta: 15:52:44 time: 0.8120 data_time: 0.0212 memory: 27786 loss: 0.0641 loss_text: 0.0392 loss_kernel: 0.0249 2022/11/01 21:35:28 - mmengine - INFO - Epoch(train) [202][25/63] lr: 1.0000e-05 eta: 15:52:44 time: 0.8215 data_time: 0.0361 memory: 27786 loss: 0.0566 loss_text: 0.0347 loss_kernel: 0.0219 2022/11/01 21:35:32 - mmengine - INFO - Epoch(train) [202][30/63] lr: 1.0000e-05 eta: 15:51:49 time: 0.7947 data_time: 0.0223 memory: 27786 loss: 0.0671 loss_text: 0.0419 loss_kernel: 0.0252 2022/11/01 21:35:36 - mmengine - INFO - Epoch(train) [202][35/63] lr: 1.0000e-05 eta: 15:51:49 time: 0.7997 data_time: 0.0192 memory: 27786 loss: 0.0625 loss_text: 0.0385 loss_kernel: 0.0239 2022/11/01 21:35:40 - mmengine - INFO - Epoch(train) [202][40/63] lr: 1.0000e-05 eta: 15:50:54 time: 0.8043 data_time: 0.0233 memory: 27786 loss: 0.0580 loss_text: 0.0358 loss_kernel: 0.0222 2022/11/01 21:35:44 - mmengine - INFO - Epoch(train) [202][45/63] lr: 1.0000e-05 eta: 15:50:54 time: 0.7931 data_time: 0.0187 memory: 27786 loss: 0.0666 loss_text: 0.0414 loss_kernel: 0.0252 2022/11/01 21:35:48 - mmengine - INFO - Epoch(train) [202][50/63] lr: 1.0000e-05 eta: 15:49:59 time: 0.8020 data_time: 0.0265 memory: 27786 loss: 0.0627 loss_text: 0.0381 loss_kernel: 0.0247 2022/11/01 21:35:52 - mmengine - INFO - Epoch(train) [202][55/63] lr: 1.0000e-05 eta: 15:49:59 time: 0.7974 data_time: 0.0211 memory: 27786 loss: 0.0699 loss_text: 0.0437 loss_kernel: 0.0262 2022/11/01 21:35:56 - mmengine - INFO - Epoch(train) [202][60/63] lr: 1.0000e-05 eta: 15:49:04 time: 0.7971 data_time: 0.0165 memory: 27786 loss: 0.0744 loss_text: 0.0475 loss_kernel: 0.0269 2022/11/01 21:35:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:37:44 - mmengine - INFO - Epoch(train) [203][5/63] lr: 1.0000e-05 eta: 15:49:04 time: 10.9372 data_time: 10.1851 memory: 27786 loss: 0.0701 loss_text: 0.0433 loss_kernel: 0.0267 2022/11/01 21:37:48 - mmengine - INFO - Epoch(train) [203][10/63] lr: 1.0000e-05 eta: 15:51:30 time: 10.9801 data_time: 10.2039 memory: 27786 loss: 0.0649 loss_text: 0.0393 loss_kernel: 0.0255 2022/11/01 21:37:52 - mmengine - INFO - Epoch(train) [203][15/63] lr: 1.0000e-05 eta: 15:51:30 time: 0.8028 data_time: 0.0388 memory: 27786 loss: 0.0542 loss_text: 0.0325 loss_kernel: 0.0216 2022/11/01 21:37:56 - mmengine - INFO - Epoch(train) [203][20/63] lr: 1.0000e-05 eta: 15:50:35 time: 0.7986 data_time: 0.0242 memory: 27786 loss: 0.0526 loss_text: 0.0316 loss_kernel: 0.0210 2022/11/01 21:38:00 - mmengine - INFO - Epoch(train) [203][25/63] lr: 1.0000e-05 eta: 15:50:35 time: 0.8141 data_time: 0.0283 memory: 27786 loss: 0.0493 loss_text: 0.0293 loss_kernel: 0.0200 2022/11/01 21:38:04 - mmengine - INFO - Epoch(train) [203][30/63] lr: 1.0000e-05 eta: 15:49:40 time: 0.8030 data_time: 0.0221 memory: 27786 loss: 0.0524 loss_text: 0.0311 loss_kernel: 0.0212 2022/11/01 21:38:08 - mmengine - INFO - Epoch(train) [203][35/63] lr: 1.0000e-05 eta: 15:49:40 time: 0.8030 data_time: 0.0242 memory: 27786 loss: 0.0647 loss_text: 0.0396 loss_kernel: 0.0252 2022/11/01 21:38:12 - mmengine - INFO - Epoch(train) [203][40/63] lr: 1.0000e-05 eta: 15:48:45 time: 0.7999 data_time: 0.0283 memory: 27786 loss: 0.0628 loss_text: 0.0390 loss_kernel: 0.0238 2022/11/01 21:38:16 - mmengine - INFO - Epoch(train) [203][45/63] lr: 1.0000e-05 eta: 15:48:45 time: 0.7927 data_time: 0.0207 memory: 27786 loss: 0.0510 loss_text: 0.0310 loss_kernel: 0.0199 2022/11/01 21:38:20 - mmengine - INFO - Epoch(train) [203][50/63] lr: 1.0000e-05 eta: 15:47:50 time: 0.8050 data_time: 0.0260 memory: 27786 loss: 0.0492 loss_text: 0.0294 loss_kernel: 0.0199 2022/11/01 21:38:24 - mmengine - INFO - Epoch(train) [203][55/63] lr: 1.0000e-05 eta: 15:47:50 time: 0.7921 data_time: 0.0247 memory: 27786 loss: 0.0549 loss_text: 0.0337 loss_kernel: 0.0213 2022/11/01 21:38:28 - mmengine - INFO - Epoch(train) [203][60/63] lr: 1.0000e-05 eta: 15:46:55 time: 0.7857 data_time: 0.0193 memory: 27786 loss: 0.0577 loss_text: 0.0356 loss_kernel: 0.0221 2022/11/01 21:38:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:40:18 - mmengine - INFO - Epoch(train) [204][5/63] lr: 1.0000e-05 eta: 15:46:55 time: 11.1041 data_time: 10.3374 memory: 27786 loss: 0.0460 loss_text: 0.0270 loss_kernel: 0.0189 2022/11/01 21:40:22 - mmengine - INFO - Epoch(train) [204][10/63] lr: 1.0000e-05 eta: 15:49:24 time: 11.1745 data_time: 10.3817 memory: 27786 loss: 0.0492 loss_text: 0.0294 loss_kernel: 0.0197 2022/11/01 21:40:26 - mmengine - INFO - Epoch(train) [204][15/63] lr: 1.0000e-05 eta: 15:49:24 time: 0.8244 data_time: 0.0578 memory: 27786 loss: 0.0544 loss_text: 0.0334 loss_kernel: 0.0210 2022/11/01 21:40:30 - mmengine - INFO - Epoch(train) [204][20/63] lr: 1.0000e-05 eta: 15:48:29 time: 0.7831 data_time: 0.0144 memory: 27786 loss: 0.0518 loss_text: 0.0313 loss_kernel: 0.0206 2022/11/01 21:40:34 - mmengine - INFO - Epoch(train) [204][25/63] lr: 1.0000e-05 eta: 15:48:29 time: 0.7872 data_time: 0.0243 memory: 27786 loss: 0.0466 loss_text: 0.0283 loss_kernel: 0.0183 2022/11/01 21:40:38 - mmengine - INFO - Epoch(train) [204][30/63] lr: 1.0000e-05 eta: 15:47:34 time: 0.7888 data_time: 0.0230 memory: 27786 loss: 0.0645 loss_text: 0.0414 loss_kernel: 0.0231 2022/11/01 21:40:42 - mmengine - INFO - Epoch(train) [204][35/63] lr: 1.0000e-05 eta: 15:47:34 time: 0.7910 data_time: 0.0222 memory: 27786 loss: 0.0781 loss_text: 0.0497 loss_kernel: 0.0284 2022/11/01 21:40:46 - mmengine - INFO - Epoch(train) [204][40/63] lr: 1.0000e-05 eta: 15:46:39 time: 0.7995 data_time: 0.0210 memory: 27786 loss: 0.0614 loss_text: 0.0374 loss_kernel: 0.0239 2022/11/01 21:40:50 - mmengine - INFO - Epoch(train) [204][45/63] lr: 1.0000e-05 eta: 15:46:39 time: 0.8029 data_time: 0.0216 memory: 27786 loss: 0.0563 loss_text: 0.0345 loss_kernel: 0.0218 2022/11/01 21:40:54 - mmengine - INFO - Epoch(train) [204][50/63] lr: 1.0000e-05 eta: 15:45:45 time: 0.7989 data_time: 0.0298 memory: 27786 loss: 0.0602 loss_text: 0.0375 loss_kernel: 0.0227 2022/11/01 21:40:57 - mmengine - INFO - Epoch(train) [204][55/63] lr: 1.0000e-05 eta: 15:45:45 time: 0.7891 data_time: 0.0250 memory: 27786 loss: 0.0597 loss_text: 0.0371 loss_kernel: 0.0225 2022/11/01 21:41:01 - mmengine - INFO - Epoch(train) [204][60/63] lr: 1.0000e-05 eta: 15:44:50 time: 0.7832 data_time: 0.0190 memory: 27786 loss: 0.0706 loss_text: 0.0443 loss_kernel: 0.0262 2022/11/01 21:41:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:42:51 - mmengine - INFO - Epoch(train) [205][5/63] lr: 1.0000e-05 eta: 15:44:50 time: 11.1136 data_time: 10.3828 memory: 27786 loss: 0.0630 loss_text: 0.0377 loss_kernel: 0.0254 2022/11/01 21:42:55 - mmengine - INFO - Epoch(train) [205][10/63] lr: 1.0000e-05 eta: 15:47:17 time: 11.1740 data_time: 10.3928 memory: 27786 loss: 0.0606 loss_text: 0.0364 loss_kernel: 0.0242 2022/11/01 21:42:59 - mmengine - INFO - Epoch(train) [205][15/63] lr: 1.0000e-05 eta: 15:47:17 time: 0.8022 data_time: 0.0220 memory: 27786 loss: 0.0543 loss_text: 0.0329 loss_kernel: 0.0214 2022/11/01 21:43:03 - mmengine - INFO - Epoch(train) [205][20/63] lr: 1.0000e-05 eta: 15:46:22 time: 0.7908 data_time: 0.0177 memory: 27786 loss: 0.0561 loss_text: 0.0345 loss_kernel: 0.0216 2022/11/01 21:43:07 - mmengine - INFO - Epoch(train) [205][25/63] lr: 1.0000e-05 eta: 15:46:22 time: 0.7962 data_time: 0.0296 memory: 27786 loss: 0.0569 loss_text: 0.0353 loss_kernel: 0.0217 2022/11/01 21:43:11 - mmengine - INFO - Epoch(train) [205][30/63] lr: 1.0000e-05 eta: 15:45:28 time: 0.7974 data_time: 0.0234 memory: 27786 loss: 0.0501 loss_text: 0.0290 loss_kernel: 0.0210 2022/11/01 21:43:15 - mmengine - INFO - Epoch(train) [205][35/63] lr: 1.0000e-05 eta: 15:45:28 time: 0.7841 data_time: 0.0199 memory: 27786 loss: 0.0492 loss_text: 0.0280 loss_kernel: 0.0212 2022/11/01 21:43:19 - mmengine - INFO - Epoch(train) [205][40/63] lr: 1.0000e-05 eta: 15:44:33 time: 0.7924 data_time: 0.0226 memory: 27786 loss: 0.0502 loss_text: 0.0299 loss_kernel: 0.0203 2022/11/01 21:43:23 - mmengine - INFO - Epoch(train) [205][45/63] lr: 1.0000e-05 eta: 15:44:33 time: 0.8035 data_time: 0.0200 memory: 27786 loss: 0.0521 loss_text: 0.0314 loss_kernel: 0.0208 2022/11/01 21:43:27 - mmengine - INFO - Epoch(train) [205][50/63] lr: 1.0000e-05 eta: 15:43:39 time: 0.7901 data_time: 0.0245 memory: 27786 loss: 0.0561 loss_text: 0.0344 loss_kernel: 0.0217 2022/11/01 21:43:31 - mmengine - INFO - Epoch(train) [205][55/63] lr: 1.0000e-05 eta: 15:43:39 time: 0.7766 data_time: 0.0261 memory: 27786 loss: 0.0657 loss_text: 0.0407 loss_kernel: 0.0249 2022/11/01 21:43:35 - mmengine - INFO - Epoch(train) [205][60/63] lr: 1.0000e-05 eta: 15:42:44 time: 0.7822 data_time: 0.0207 memory: 27786 loss: 0.0603 loss_text: 0.0361 loss_kernel: 0.0242 2022/11/01 21:43:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:45:25 - mmengine - INFO - Epoch(train) [206][5/63] lr: 1.0000e-05 eta: 15:42:44 time: 11.1748 data_time: 10.4440 memory: 27786 loss: 0.0487 loss_text: 0.0288 loss_kernel: 0.0198 2022/11/01 21:45:29 - mmengine - INFO - Epoch(train) [206][10/63] lr: 1.0000e-05 eta: 15:45:11 time: 11.2359 data_time: 10.4506 memory: 27786 loss: 0.0599 loss_text: 0.0351 loss_kernel: 0.0248 2022/11/01 21:45:33 - mmengine - INFO - Epoch(train) [206][15/63] lr: 1.0000e-05 eta: 15:45:11 time: 0.7939 data_time: 0.0167 memory: 27786 loss: 0.0594 loss_text: 0.0348 loss_kernel: 0.0246 2022/11/01 21:45:37 - mmengine - INFO - Epoch(train) [206][20/63] lr: 1.0000e-05 eta: 15:44:17 time: 0.7923 data_time: 0.0162 memory: 27786 loss: 0.0478 loss_text: 0.0278 loss_kernel: 0.0200 2022/11/01 21:45:41 - mmengine - INFO - Epoch(train) [206][25/63] lr: 1.0000e-05 eta: 15:44:17 time: 0.8101 data_time: 0.0393 memory: 27786 loss: 0.0497 loss_text: 0.0295 loss_kernel: 0.0203 2022/11/01 21:45:45 - mmengine - INFO - Epoch(train) [206][30/63] lr: 1.0000e-05 eta: 15:43:22 time: 0.7906 data_time: 0.0317 memory: 27786 loss: 0.0629 loss_text: 0.0392 loss_kernel: 0.0237 2022/11/01 21:45:49 - mmengine - INFO - Epoch(train) [206][35/63] lr: 1.0000e-05 eta: 15:43:22 time: 0.7977 data_time: 0.0337 memory: 27786 loss: 0.0683 loss_text: 0.0429 loss_kernel: 0.0254 2022/11/01 21:45:53 - mmengine - INFO - Epoch(train) [206][40/63] lr: 1.0000e-05 eta: 15:42:28 time: 0.8131 data_time: 0.0382 memory: 27786 loss: 0.0705 loss_text: 0.0437 loss_kernel: 0.0268 2022/11/01 21:45:57 - mmengine - INFO - Epoch(train) [206][45/63] lr: 1.0000e-05 eta: 15:42:28 time: 0.7924 data_time: 0.0223 memory: 27786 loss: 0.0687 loss_text: 0.0431 loss_kernel: 0.0256 2022/11/01 21:46:01 - mmengine - INFO - Epoch(train) [206][50/63] lr: 1.0000e-05 eta: 15:41:34 time: 0.7802 data_time: 0.0242 memory: 27786 loss: 0.0608 loss_text: 0.0381 loss_kernel: 0.0227 2022/11/01 21:46:05 - mmengine - INFO - Epoch(train) [206][55/63] lr: 1.0000e-05 eta: 15:41:34 time: 0.7874 data_time: 0.0209 memory: 27786 loss: 0.0556 loss_text: 0.0341 loss_kernel: 0.0215 2022/11/01 21:46:09 - mmengine - INFO - Epoch(train) [206][60/63] lr: 1.0000e-05 eta: 15:40:40 time: 0.7925 data_time: 0.0185 memory: 27786 loss: 0.0498 loss_text: 0.0296 loss_kernel: 0.0202 2022/11/01 21:46:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:47:58 - mmengine - INFO - Epoch(train) [207][5/63] lr: 1.0000e-05 eta: 15:40:40 time: 11.1205 data_time: 10.3767 memory: 27786 loss: 0.0547 loss_text: 0.0332 loss_kernel: 0.0215 2022/11/01 21:48:02 - mmengine - INFO - Epoch(train) [207][10/63] lr: 1.0000e-05 eta: 15:43:04 time: 11.1636 data_time: 10.3755 memory: 27786 loss: 0.0504 loss_text: 0.0297 loss_kernel: 0.0207 2022/11/01 21:48:06 - mmengine - INFO - Epoch(train) [207][15/63] lr: 1.0000e-05 eta: 15:43:04 time: 0.7941 data_time: 0.0259 memory: 27786 loss: 0.0518 loss_text: 0.0314 loss_kernel: 0.0204 2022/11/01 21:48:10 - mmengine - INFO - Epoch(train) [207][20/63] lr: 1.0000e-05 eta: 15:42:09 time: 0.7889 data_time: 0.0303 memory: 27786 loss: 0.0548 loss_text: 0.0342 loss_kernel: 0.0205 2022/11/01 21:48:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:48:14 - mmengine - INFO - Epoch(train) [207][25/63] lr: 1.0000e-05 eta: 15:42:09 time: 0.7786 data_time: 0.0184 memory: 27786 loss: 0.0629 loss_text: 0.0394 loss_kernel: 0.0234 2022/11/01 21:48:18 - mmengine - INFO - Epoch(train) [207][30/63] lr: 1.0000e-05 eta: 15:41:15 time: 0.7880 data_time: 0.0245 memory: 27786 loss: 0.0610 loss_text: 0.0381 loss_kernel: 0.0228 2022/11/01 21:48:22 - mmengine - INFO - Epoch(train) [207][35/63] lr: 1.0000e-05 eta: 15:41:15 time: 0.7902 data_time: 0.0236 memory: 27786 loss: 0.0548 loss_text: 0.0337 loss_kernel: 0.0211 2022/11/01 21:48:26 - mmengine - INFO - Epoch(train) [207][40/63] lr: 1.0000e-05 eta: 15:40:21 time: 0.7868 data_time: 0.0212 memory: 27786 loss: 0.0550 loss_text: 0.0334 loss_kernel: 0.0216 2022/11/01 21:48:30 - mmengine - INFO - Epoch(train) [207][45/63] lr: 1.0000e-05 eta: 15:40:21 time: 0.8013 data_time: 0.0275 memory: 27786 loss: 0.0502 loss_text: 0.0299 loss_kernel: 0.0203 2022/11/01 21:48:34 - mmengine - INFO - Epoch(train) [207][50/63] lr: 1.0000e-05 eta: 15:39:27 time: 0.7857 data_time: 0.0202 memory: 27786 loss: 0.0478 loss_text: 0.0284 loss_kernel: 0.0195 2022/11/01 21:48:38 - mmengine - INFO - Epoch(train) [207][55/63] lr: 1.0000e-05 eta: 15:39:27 time: 0.7751 data_time: 0.0184 memory: 27786 loss: 0.0535 loss_text: 0.0322 loss_kernel: 0.0213 2022/11/01 21:48:42 - mmengine - INFO - Epoch(train) [207][60/63] lr: 1.0000e-05 eta: 15:38:33 time: 0.7793 data_time: 0.0207 memory: 27786 loss: 0.0685 loss_text: 0.0427 loss_kernel: 0.0257 2022/11/01 21:48:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:50:32 - mmengine - INFO - Epoch(train) [208][5/63] lr: 1.0000e-05 eta: 15:38:33 time: 11.2171 data_time: 10.4739 memory: 27786 loss: 0.0655 loss_text: 0.0412 loss_kernel: 0.0243 2022/11/01 21:50:37 - mmengine - INFO - Epoch(train) [208][10/63] lr: 1.0000e-05 eta: 15:40:58 time: 11.2717 data_time: 10.4841 memory: 27786 loss: 0.0540 loss_text: 0.0331 loss_kernel: 0.0209 2022/11/01 21:50:41 - mmengine - INFO - Epoch(train) [208][15/63] lr: 1.0000e-05 eta: 15:40:58 time: 0.8082 data_time: 0.0282 memory: 27786 loss: 0.0550 loss_text: 0.0335 loss_kernel: 0.0216 2022/11/01 21:50:45 - mmengine - INFO - Epoch(train) [208][20/63] lr: 1.0000e-05 eta: 15:40:04 time: 0.8070 data_time: 0.0216 memory: 27786 loss: 0.0701 loss_text: 0.0442 loss_kernel: 0.0259 2022/11/01 21:50:49 - mmengine - INFO - Epoch(train) [208][25/63] lr: 1.0000e-05 eta: 15:40:04 time: 0.7979 data_time: 0.0268 memory: 27786 loss: 0.0640 loss_text: 0.0398 loss_kernel: 0.0242 2022/11/01 21:50:52 - mmengine - INFO - Epoch(train) [208][30/63] lr: 1.0000e-05 eta: 15:39:10 time: 0.7878 data_time: 0.0256 memory: 27786 loss: 0.0538 loss_text: 0.0329 loss_kernel: 0.0210 2022/11/01 21:50:57 - mmengine - INFO - Epoch(train) [208][35/63] lr: 1.0000e-05 eta: 15:39:10 time: 0.8001 data_time: 0.0204 memory: 27786 loss: 0.0583 loss_text: 0.0360 loss_kernel: 0.0223 2022/11/01 21:51:01 - mmengine - INFO - Epoch(train) [208][40/63] lr: 1.0000e-05 eta: 15:38:16 time: 0.8047 data_time: 0.0215 memory: 27786 loss: 0.0617 loss_text: 0.0377 loss_kernel: 0.0240 2022/11/01 21:51:05 - mmengine - INFO - Epoch(train) [208][45/63] lr: 1.0000e-05 eta: 15:38:16 time: 0.8139 data_time: 0.0271 memory: 27786 loss: 0.0593 loss_text: 0.0357 loss_kernel: 0.0235 2022/11/01 21:51:09 - mmengine - INFO - Epoch(train) [208][50/63] lr: 1.0000e-05 eta: 15:37:23 time: 0.8163 data_time: 0.0245 memory: 27786 loss: 0.0535 loss_text: 0.0322 loss_kernel: 0.0213 2022/11/01 21:51:13 - mmengine - INFO - Epoch(train) [208][55/63] lr: 1.0000e-05 eta: 15:37:23 time: 0.8058 data_time: 0.0186 memory: 27786 loss: 0.0622 loss_text: 0.0386 loss_kernel: 0.0236 2022/11/01 21:51:17 - mmengine - INFO - Epoch(train) [208][60/63] lr: 1.0000e-05 eta: 15:36:29 time: 0.8056 data_time: 0.0193 memory: 27786 loss: 0.0662 loss_text: 0.0411 loss_kernel: 0.0251 2022/11/01 21:51:19 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:53:04 - mmengine - INFO - Epoch(train) [209][5/63] lr: 1.0000e-05 eta: 15:36:29 time: 10.9098 data_time: 10.1609 memory: 27786 loss: 0.0511 loss_text: 0.0305 loss_kernel: 0.0205 2022/11/01 21:53:08 - mmengine - INFO - Epoch(train) [209][10/63] lr: 1.0000e-05 eta: 15:38:46 time: 10.9540 data_time: 10.1721 memory: 27786 loss: 0.0666 loss_text: 0.0407 loss_kernel: 0.0259 2022/11/01 21:53:12 - mmengine - INFO - Epoch(train) [209][15/63] lr: 1.0000e-05 eta: 15:38:46 time: 0.7860 data_time: 0.0234 memory: 27786 loss: 0.0613 loss_text: 0.0373 loss_kernel: 0.0240 2022/11/01 21:53:16 - mmengine - INFO - Epoch(train) [209][20/63] lr: 1.0000e-05 eta: 15:37:53 time: 0.7885 data_time: 0.0200 memory: 27786 loss: 0.0477 loss_text: 0.0285 loss_kernel: 0.0192 2022/11/01 21:53:22 - mmengine - INFO - Epoch(train) [209][25/63] lr: 1.0000e-05 eta: 15:37:53 time: 0.9554 data_time: 0.1731 memory: 27786 loss: 0.0491 loss_text: 0.0288 loss_kernel: 0.0203 2022/11/01 21:53:26 - mmengine - INFO - Epoch(train) [209][30/63] lr: 1.0000e-05 eta: 15:37:02 time: 0.9509 data_time: 0.1668 memory: 27786 loss: 0.0547 loss_text: 0.0329 loss_kernel: 0.0218 2022/11/01 21:53:30 - mmengine - INFO - Epoch(train) [209][35/63] lr: 1.0000e-05 eta: 15:37:02 time: 0.8171 data_time: 0.0242 memory: 27786 loss: 0.0619 loss_text: 0.0386 loss_kernel: 0.0233 2022/11/01 21:53:34 - mmengine - INFO - Epoch(train) [209][40/63] lr: 1.0000e-05 eta: 15:36:09 time: 0.8091 data_time: 0.0228 memory: 27786 loss: 0.0556 loss_text: 0.0338 loss_kernel: 0.0218 2022/11/01 21:53:38 - mmengine - INFO - Epoch(train) [209][45/63] lr: 1.0000e-05 eta: 15:36:09 time: 0.8159 data_time: 0.0447 memory: 27786 loss: 0.0497 loss_text: 0.0293 loss_kernel: 0.0204 2022/11/01 21:53:42 - mmengine - INFO - Epoch(train) [209][50/63] lr: 1.0000e-05 eta: 15:35:16 time: 0.8158 data_time: 0.0524 memory: 27786 loss: 0.0612 loss_text: 0.0382 loss_kernel: 0.0230 2022/11/01 21:53:46 - mmengine - INFO - Epoch(train) [209][55/63] lr: 1.0000e-05 eta: 15:35:16 time: 0.7940 data_time: 0.0202 memory: 27786 loss: 0.0660 loss_text: 0.0415 loss_kernel: 0.0245 2022/11/01 21:53:50 - mmengine - INFO - Epoch(train) [209][60/63] lr: 1.0000e-05 eta: 15:34:22 time: 0.8028 data_time: 0.0167 memory: 27786 loss: 0.0554 loss_text: 0.0333 loss_kernel: 0.0221 2022/11/01 21:53:52 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:55:43 - mmengine - INFO - Epoch(train) [210][5/63] lr: 1.0000e-05 eta: 15:34:22 time: 11.4194 data_time: 10.6783 memory: 27786 loss: 0.0571 loss_text: 0.0348 loss_kernel: 0.0223 2022/11/01 21:55:47 - mmengine - INFO - Epoch(train) [210][10/63] lr: 1.0000e-05 eta: 15:36:49 time: 11.4902 data_time: 10.7012 memory: 27786 loss: 0.0663 loss_text: 0.0419 loss_kernel: 0.0244 2022/11/01 21:55:51 - mmengine - INFO - Epoch(train) [210][15/63] lr: 1.0000e-05 eta: 15:36:49 time: 0.8066 data_time: 0.0313 memory: 27786 loss: 0.0634 loss_text: 0.0395 loss_kernel: 0.0239 2022/11/01 21:55:55 - mmengine - INFO - Epoch(train) [210][20/63] lr: 1.0000e-05 eta: 15:35:56 time: 0.7925 data_time: 0.0183 memory: 27786 loss: 0.0619 loss_text: 0.0382 loss_kernel: 0.0238 2022/11/01 21:56:00 - mmengine - INFO - Epoch(train) [210][25/63] lr: 1.0000e-05 eta: 15:35:56 time: 0.8824 data_time: 0.0988 memory: 27786 loss: 0.0554 loss_text: 0.0334 loss_kernel: 0.0220 2022/11/01 21:56:04 - mmengine - INFO - Epoch(train) [210][30/63] lr: 1.0000e-05 eta: 15:35:04 time: 0.8697 data_time: 0.0888 memory: 27786 loss: 0.0561 loss_text: 0.0335 loss_kernel: 0.0225 2022/11/01 21:56:08 - mmengine - INFO - Epoch(train) [210][35/63] lr: 1.0000e-05 eta: 15:35:04 time: 0.8049 data_time: 0.0212 memory: 27786 loss: 0.0588 loss_text: 0.0355 loss_kernel: 0.0233 2022/11/01 21:56:12 - mmengine - INFO - Epoch(train) [210][40/63] lr: 1.0000e-05 eta: 15:34:11 time: 0.8116 data_time: 0.0300 memory: 27786 loss: 0.0516 loss_text: 0.0304 loss_kernel: 0.0212 2022/11/01 21:56:16 - mmengine - INFO - Epoch(train) [210][45/63] lr: 1.0000e-05 eta: 15:34:11 time: 0.8002 data_time: 0.0211 memory: 27786 loss: 0.0502 loss_text: 0.0296 loss_kernel: 0.0206 2022/11/01 21:56:20 - mmengine - INFO - Epoch(train) [210][50/63] lr: 1.0000e-05 eta: 15:33:17 time: 0.7982 data_time: 0.0205 memory: 27786 loss: 0.0526 loss_text: 0.0319 loss_kernel: 0.0208 2022/11/01 21:56:24 - mmengine - INFO - Epoch(train) [210][55/63] lr: 1.0000e-05 eta: 15:33:17 time: 0.8046 data_time: 0.0285 memory: 27786 loss: 0.0614 loss_text: 0.0382 loss_kernel: 0.0232 2022/11/01 21:56:28 - mmengine - INFO - Epoch(train) [210][60/63] lr: 1.0000e-05 eta: 15:32:24 time: 0.7936 data_time: 0.0226 memory: 27786 loss: 0.0594 loss_text: 0.0366 loss_kernel: 0.0227 2022/11/01 21:56:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 21:58:16 - mmengine - INFO - Epoch(train) [211][5/63] lr: 1.0000e-05 eta: 15:32:24 time: 10.9611 data_time: 10.2255 memory: 27786 loss: 0.0476 loss_text: 0.0286 loss_kernel: 0.0190 2022/11/01 21:58:20 - mmengine - INFO - Epoch(train) [211][10/63] lr: 1.0000e-05 eta: 15:34:40 time: 11.0157 data_time: 10.2382 memory: 27786 loss: 0.0537 loss_text: 0.0326 loss_kernel: 0.0212 2022/11/01 21:58:24 - mmengine - INFO - Epoch(train) [211][15/63] lr: 1.0000e-05 eta: 15:34:40 time: 0.7936 data_time: 0.0250 memory: 27786 loss: 0.0556 loss_text: 0.0337 loss_kernel: 0.0218 2022/11/01 21:58:28 - mmengine - INFO - Epoch(train) [211][20/63] lr: 1.0000e-05 eta: 15:33:47 time: 0.7999 data_time: 0.0222 memory: 27786 loss: 0.0550 loss_text: 0.0332 loss_kernel: 0.0218 2022/11/01 21:58:32 - mmengine - INFO - Epoch(train) [211][25/63] lr: 1.0000e-05 eta: 15:33:47 time: 0.8139 data_time: 0.0323 memory: 27786 loss: 0.0639 loss_text: 0.0397 loss_kernel: 0.0242 2022/11/01 21:58:36 - mmengine - INFO - Epoch(train) [211][30/63] lr: 1.0000e-05 eta: 15:32:53 time: 0.7958 data_time: 0.0217 memory: 27786 loss: 0.0608 loss_text: 0.0376 loss_kernel: 0.0232 2022/11/01 21:58:40 - mmengine - INFO - Epoch(train) [211][35/63] lr: 1.0000e-05 eta: 15:32:53 time: 0.8071 data_time: 0.0215 memory: 27786 loss: 0.0503 loss_text: 0.0299 loss_kernel: 0.0204 2022/11/01 21:58:44 - mmengine - INFO - Epoch(train) [211][40/63] lr: 1.0000e-05 eta: 15:32:00 time: 0.8128 data_time: 0.0221 memory: 27786 loss: 0.0549 loss_text: 0.0331 loss_kernel: 0.0218 2022/11/01 21:58:48 - mmengine - INFO - Epoch(train) [211][45/63] lr: 1.0000e-05 eta: 15:32:00 time: 0.7949 data_time: 0.0194 memory: 27786 loss: 0.0615 loss_text: 0.0383 loss_kernel: 0.0232 2022/11/01 21:58:52 - mmengine - INFO - Epoch(train) [211][50/63] lr: 1.0000e-05 eta: 15:31:07 time: 0.7860 data_time: 0.0260 memory: 27786 loss: 0.0637 loss_text: 0.0397 loss_kernel: 0.0240 2022/11/01 21:58:56 - mmengine - INFO - Epoch(train) [211][55/63] lr: 1.0000e-05 eta: 15:31:07 time: 0.7680 data_time: 0.0214 memory: 27786 loss: 0.0709 loss_text: 0.0442 loss_kernel: 0.0267 2022/11/01 21:59:00 - mmengine - INFO - Epoch(train) [211][60/63] lr: 1.0000e-05 eta: 15:30:14 time: 0.7845 data_time: 0.0156 memory: 27786 loss: 0.0625 loss_text: 0.0391 loss_kernel: 0.0234 2022/11/01 21:59:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:00:52 - mmengine - INFO - Epoch(train) [212][5/63] lr: 1.0000e-05 eta: 15:30:14 time: 11.3445 data_time: 10.5959 memory: 27786 loss: 0.0542 loss_text: 0.0340 loss_kernel: 0.0202 2022/11/01 22:00:56 - mmengine - INFO - Epoch(train) [212][10/63] lr: 1.0000e-05 eta: 15:32:36 time: 11.4085 data_time: 10.6132 memory: 27786 loss: 0.0502 loss_text: 0.0305 loss_kernel: 0.0197 2022/11/01 22:01:00 - mmengine - INFO - Epoch(train) [212][15/63] lr: 1.0000e-05 eta: 15:32:36 time: 0.8150 data_time: 0.0281 memory: 27786 loss: 0.0527 loss_text: 0.0311 loss_kernel: 0.0216 2022/11/01 22:01:04 - mmengine - INFO - Epoch(train) [212][20/63] lr: 1.0000e-05 eta: 15:31:43 time: 0.8061 data_time: 0.0231 memory: 27786 loss: 0.0570 loss_text: 0.0337 loss_kernel: 0.0233 2022/11/01 22:01:08 - mmengine - INFO - Epoch(train) [212][25/63] lr: 1.0000e-05 eta: 15:31:43 time: 0.8006 data_time: 0.0285 memory: 27786 loss: 0.0526 loss_text: 0.0317 loss_kernel: 0.0208 2022/11/01 22:01:13 - mmengine - INFO - Epoch(train) [212][30/63] lr: 1.0000e-05 eta: 15:30:52 time: 0.8795 data_time: 0.1085 memory: 27786 loss: 0.0525 loss_text: 0.0325 loss_kernel: 0.0200 2022/11/01 22:01:17 - mmengine - INFO - Epoch(train) [212][35/63] lr: 1.0000e-05 eta: 15:30:52 time: 0.8884 data_time: 0.1106 memory: 27786 loss: 0.0591 loss_text: 0.0375 loss_kernel: 0.0216 2022/11/01 22:01:21 - mmengine - INFO - Epoch(train) [212][40/63] lr: 1.0000e-05 eta: 15:29:59 time: 0.7971 data_time: 0.0207 memory: 27786 loss: 0.0540 loss_text: 0.0334 loss_kernel: 0.0205 2022/11/01 22:01:25 - mmengine - INFO - Epoch(train) [212][45/63] lr: 1.0000e-05 eta: 15:29:59 time: 0.8108 data_time: 0.0220 memory: 27786 loss: 0.0546 loss_text: 0.0338 loss_kernel: 0.0208 2022/11/01 22:01:29 - mmengine - INFO - Epoch(train) [212][50/63] lr: 1.0000e-05 eta: 15:29:07 time: 0.8173 data_time: 0.0282 memory: 27786 loss: 0.0546 loss_text: 0.0340 loss_kernel: 0.0206 2022/11/01 22:01:33 - mmengine - INFO - Epoch(train) [212][55/63] lr: 1.0000e-05 eta: 15:29:07 time: 0.7852 data_time: 0.0215 memory: 27786 loss: 0.0684 loss_text: 0.0433 loss_kernel: 0.0251 2022/11/01 22:01:37 - mmengine - INFO - Epoch(train) [212][60/63] lr: 1.0000e-05 eta: 15:28:14 time: 0.7873 data_time: 0.0175 memory: 27786 loss: 0.0788 loss_text: 0.0495 loss_kernel: 0.0294 2022/11/01 22:01:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:03:25 - mmengine - INFO - Epoch(train) [213][5/63] lr: 1.0000e-05 eta: 15:28:14 time: 10.9468 data_time: 10.2033 memory: 27786 loss: 0.0774 loss_text: 0.0493 loss_kernel: 0.0282 2022/11/01 22:03:29 - mmengine - INFO - Epoch(train) [213][10/63] lr: 1.0000e-05 eta: 15:30:26 time: 10.9982 data_time: 10.2201 memory: 27786 loss: 0.0586 loss_text: 0.0365 loss_kernel: 0.0221 2022/11/01 22:03:33 - mmengine - INFO - Epoch(train) [213][15/63] lr: 1.0000e-05 eta: 15:30:26 time: 0.8051 data_time: 0.0264 memory: 27786 loss: 0.0571 loss_text: 0.0349 loss_kernel: 0.0222 2022/11/01 22:03:37 - mmengine - INFO - Epoch(train) [213][20/63] lr: 1.0000e-05 eta: 15:29:34 time: 0.8092 data_time: 0.0196 memory: 27786 loss: 0.0496 loss_text: 0.0294 loss_kernel: 0.0202 2022/11/01 22:03:41 - mmengine - INFO - Epoch(train) [213][25/63] lr: 1.0000e-05 eta: 15:29:34 time: 0.8057 data_time: 0.0223 memory: 27786 loss: 0.0588 loss_text: 0.0357 loss_kernel: 0.0231 2022/11/01 22:03:45 - mmengine - INFO - Epoch(train) [213][30/63] lr: 1.0000e-05 eta: 15:28:41 time: 0.8065 data_time: 0.0187 memory: 27786 loss: 0.0688 loss_text: 0.0427 loss_kernel: 0.0261 2022/11/01 22:03:49 - mmengine - INFO - Epoch(train) [213][35/63] lr: 1.0000e-05 eta: 15:28:41 time: 0.8157 data_time: 0.0279 memory: 27786 loss: 0.0634 loss_text: 0.0392 loss_kernel: 0.0242 2022/11/01 22:03:53 - mmengine - INFO - Epoch(train) [213][40/63] lr: 1.0000e-05 eta: 15:27:48 time: 0.7959 data_time: 0.0217 memory: 27786 loss: 0.0557 loss_text: 0.0341 loss_kernel: 0.0216 2022/11/01 22:03:57 - mmengine - INFO - Epoch(train) [213][45/63] lr: 1.0000e-05 eta: 15:27:48 time: 0.7904 data_time: 0.0206 memory: 27786 loss: 0.0473 loss_text: 0.0284 loss_kernel: 0.0189 2022/11/01 22:04:01 - mmengine - INFO - Epoch(train) [213][50/63] lr: 1.0000e-05 eta: 15:26:56 time: 0.8264 data_time: 0.0332 memory: 27786 loss: 0.0492 loss_text: 0.0298 loss_kernel: 0.0194 2022/11/01 22:04:05 - mmengine - INFO - Epoch(train) [213][55/63] lr: 1.0000e-05 eta: 15:26:56 time: 0.8197 data_time: 0.0227 memory: 27786 loss: 0.0586 loss_text: 0.0364 loss_kernel: 0.0222 2022/11/01 22:04:09 - mmengine - INFO - Epoch(train) [213][60/63] lr: 1.0000e-05 eta: 15:26:04 time: 0.7897 data_time: 0.0152 memory: 27786 loss: 0.0641 loss_text: 0.0397 loss_kernel: 0.0244 2022/11/01 22:04:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:06:02 - mmengine - INFO - Epoch(train) [214][5/63] lr: 1.0000e-05 eta: 15:26:04 time: 11.4330 data_time: 10.6853 memory: 27786 loss: 0.0602 loss_text: 0.0368 loss_kernel: 0.0234 2022/11/01 22:06:07 - mmengine - INFO - Epoch(train) [214][10/63] lr: 1.0000e-05 eta: 15:28:27 time: 11.5930 data_time: 10.7820 memory: 27786 loss: 0.0533 loss_text: 0.0320 loss_kernel: 0.0213 2022/11/01 22:06:11 - mmengine - INFO - Epoch(train) [214][15/63] lr: 1.0000e-05 eta: 15:28:27 time: 0.9450 data_time: 0.1263 memory: 27786 loss: 0.0464 loss_text: 0.0273 loss_kernel: 0.0191 2022/11/01 22:06:15 - mmengine - INFO - Epoch(train) [214][20/63] lr: 1.0000e-05 eta: 15:27:35 time: 0.8370 data_time: 0.0382 memory: 27786 loss: 0.0526 loss_text: 0.0313 loss_kernel: 0.0213 2022/11/01 22:06:19 - mmengine - INFO - Epoch(train) [214][25/63] lr: 1.0000e-05 eta: 15:27:35 time: 0.8186 data_time: 0.0187 memory: 27786 loss: 0.0551 loss_text: 0.0330 loss_kernel: 0.0222 2022/11/01 22:06:24 - mmengine - INFO - Epoch(train) [214][30/63] lr: 1.0000e-05 eta: 15:26:43 time: 0.8235 data_time: 0.0245 memory: 27786 loss: 0.0502 loss_text: 0.0294 loss_kernel: 0.0207 2022/11/01 22:06:28 - mmengine - INFO - Epoch(train) [214][35/63] lr: 1.0000e-05 eta: 15:26:43 time: 0.8109 data_time: 0.0341 memory: 27786 loss: 0.0548 loss_text: 0.0329 loss_kernel: 0.0219 2022/11/01 22:06:32 - mmengine - INFO - Epoch(train) [214][40/63] lr: 1.0000e-05 eta: 15:25:51 time: 0.7978 data_time: 0.0210 memory: 27786 loss: 0.0641 loss_text: 0.0394 loss_kernel: 0.0247 2022/11/01 22:06:36 - mmengine - INFO - Epoch(train) [214][45/63] lr: 1.0000e-05 eta: 15:25:51 time: 0.7987 data_time: 0.0195 memory: 27786 loss: 0.0645 loss_text: 0.0396 loss_kernel: 0.0249 2022/11/01 22:06:40 - mmengine - INFO - Epoch(train) [214][50/63] lr: 1.0000e-05 eta: 15:24:58 time: 0.7960 data_time: 0.0224 memory: 27786 loss: 0.0624 loss_text: 0.0390 loss_kernel: 0.0234 2022/11/01 22:06:43 - mmengine - INFO - Epoch(train) [214][55/63] lr: 1.0000e-05 eta: 15:24:58 time: 0.7888 data_time: 0.0202 memory: 27786 loss: 0.0656 loss_text: 0.0410 loss_kernel: 0.0246 2022/11/01 22:06:47 - mmengine - INFO - Epoch(train) [214][60/63] lr: 1.0000e-05 eta: 15:24:06 time: 0.7889 data_time: 0.0236 memory: 27786 loss: 0.0576 loss_text: 0.0353 loss_kernel: 0.0224 2022/11/01 22:06:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:08:38 - mmengine - INFO - Epoch(train) [215][5/63] lr: 1.0000e-05 eta: 15:24:06 time: 11.2339 data_time: 10.4873 memory: 27786 loss: 0.0527 loss_text: 0.0317 loss_kernel: 0.0210 2022/11/01 22:08:42 - mmengine - INFO - Epoch(train) [215][10/63] lr: 1.0000e-05 eta: 15:26:22 time: 11.2946 data_time: 10.5032 memory: 27786 loss: 0.0631 loss_text: 0.0386 loss_kernel: 0.0245 2022/11/01 22:08:46 - mmengine - INFO - Epoch(train) [215][15/63] lr: 1.0000e-05 eta: 15:26:22 time: 0.8103 data_time: 0.0306 memory: 27786 loss: 0.0787 loss_text: 0.0503 loss_kernel: 0.0284 2022/11/01 22:08:50 - mmengine - INFO - Epoch(train) [215][20/63] lr: 1.0000e-05 eta: 15:25:29 time: 0.8039 data_time: 0.0182 memory: 27786 loss: 0.0680 loss_text: 0.0435 loss_kernel: 0.0245 2022/11/01 22:08:55 - mmengine - INFO - Epoch(train) [215][25/63] lr: 1.0000e-05 eta: 15:25:29 time: 0.8159 data_time: 0.0320 memory: 27786 loss: 0.0569 loss_text: 0.0357 loss_kernel: 0.0212 2022/11/01 22:08:59 - mmengine - INFO - Epoch(train) [215][30/63] lr: 1.0000e-05 eta: 15:24:37 time: 0.8056 data_time: 0.0314 memory: 27786 loss: 0.0637 loss_text: 0.0399 loss_kernel: 0.0238 2022/11/01 22:09:03 - mmengine - INFO - Epoch(train) [215][35/63] lr: 1.0000e-05 eta: 15:24:37 time: 0.8008 data_time: 0.0217 memory: 27786 loss: 0.0605 loss_text: 0.0374 loss_kernel: 0.0231 2022/11/01 22:09:07 - mmengine - INFO - Epoch(train) [215][40/63] lr: 1.0000e-05 eta: 15:23:45 time: 0.8072 data_time: 0.0221 memory: 27786 loss: 0.0564 loss_text: 0.0337 loss_kernel: 0.0227 2022/11/01 22:09:11 - mmengine - INFO - Epoch(train) [215][45/63] lr: 1.0000e-05 eta: 15:23:45 time: 0.8086 data_time: 0.0316 memory: 27786 loss: 0.0548 loss_text: 0.0327 loss_kernel: 0.0221 2022/11/01 22:09:15 - mmengine - INFO - Epoch(train) [215][50/63] lr: 1.0000e-05 eta: 15:22:53 time: 0.8211 data_time: 0.0404 memory: 27786 loss: 0.0622 loss_text: 0.0388 loss_kernel: 0.0234 2022/11/01 22:09:19 - mmengine - INFO - Epoch(train) [215][55/63] lr: 1.0000e-05 eta: 15:22:53 time: 0.8201 data_time: 0.0291 memory: 27786 loss: 0.0564 loss_text: 0.0345 loss_kernel: 0.0219 2022/11/01 22:09:23 - mmengine - INFO - Epoch(train) [215][60/63] lr: 1.0000e-05 eta: 15:22:01 time: 0.8074 data_time: 0.0184 memory: 27786 loss: 0.0497 loss_text: 0.0292 loss_kernel: 0.0205 2022/11/01 22:09:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:11:14 - mmengine - INFO - Epoch(train) [216][5/63] lr: 1.0000e-05 eta: 15:22:01 time: 11.2896 data_time: 10.5371 memory: 27786 loss: 0.0473 loss_text: 0.0279 loss_kernel: 0.0195 2022/11/01 22:11:18 - mmengine - INFO - Epoch(train) [216][10/63] lr: 1.0000e-05 eta: 15:24:17 time: 11.3518 data_time: 10.5422 memory: 27786 loss: 0.0557 loss_text: 0.0341 loss_kernel: 0.0215 2022/11/01 22:11:23 - mmengine - INFO - Epoch(train) [216][15/63] lr: 1.0000e-05 eta: 15:24:17 time: 0.8757 data_time: 0.0672 memory: 27786 loss: 0.0572 loss_text: 0.0351 loss_kernel: 0.0221 2022/11/01 22:11:27 - mmengine - INFO - Epoch(train) [216][20/63] lr: 1.0000e-05 eta: 15:23:26 time: 0.8775 data_time: 0.0717 memory: 27786 loss: 0.0567 loss_text: 0.0347 loss_kernel: 0.0221 2022/11/01 22:11:31 - mmengine - INFO - Epoch(train) [216][25/63] lr: 1.0000e-05 eta: 15:23:26 time: 0.8073 data_time: 0.0217 memory: 27786 loss: 0.0554 loss_text: 0.0336 loss_kernel: 0.0217 2022/11/01 22:11:35 - mmengine - INFO - Epoch(train) [216][30/63] lr: 1.0000e-05 eta: 15:22:34 time: 0.8001 data_time: 0.0341 memory: 27786 loss: 0.0467 loss_text: 0.0275 loss_kernel: 0.0192 2022/11/01 22:11:39 - mmengine - INFO - Epoch(train) [216][35/63] lr: 1.0000e-05 eta: 15:22:34 time: 0.8078 data_time: 0.0447 memory: 27786 loss: 0.0454 loss_text: 0.0267 loss_kernel: 0.0187 2022/11/01 22:11:43 - mmengine - INFO - Epoch(train) [216][40/63] lr: 1.0000e-05 eta: 15:21:42 time: 0.7854 data_time: 0.0217 memory: 27786 loss: 0.0483 loss_text: 0.0284 loss_kernel: 0.0199 2022/11/01 22:11:47 - mmengine - INFO - Epoch(train) [216][45/63] lr: 1.0000e-05 eta: 15:21:42 time: 0.8102 data_time: 0.0220 memory: 27786 loss: 0.0509 loss_text: 0.0308 loss_kernel: 0.0201 2022/11/01 22:11:51 - mmengine - INFO - Epoch(train) [216][50/63] lr: 1.0000e-05 eta: 15:20:51 time: 0.8291 data_time: 0.0248 memory: 27786 loss: 0.0565 loss_text: 0.0346 loss_kernel: 0.0220 2022/11/01 22:11:55 - mmengine - INFO - Epoch(train) [216][55/63] lr: 1.0000e-05 eta: 15:20:51 time: 0.8081 data_time: 0.0217 memory: 27786 loss: 0.0658 loss_text: 0.0413 loss_kernel: 0.0244 2022/11/01 22:11:59 - mmengine - INFO - Epoch(train) [216][60/63] lr: 1.0000e-05 eta: 15:19:59 time: 0.7950 data_time: 0.0224 memory: 27786 loss: 0.0591 loss_text: 0.0367 loss_kernel: 0.0223 2022/11/01 22:12:01 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:13:50 - mmengine - INFO - Epoch(train) [217][5/63] lr: 1.0000e-05 eta: 15:19:59 time: 11.2283 data_time: 10.4951 memory: 27786 loss: 0.0636 loss_text: 0.0396 loss_kernel: 0.0240 2022/11/01 22:13:54 - mmengine - INFO - Epoch(train) [217][10/63] lr: 1.0000e-05 eta: 15:22:12 time: 11.2989 data_time: 10.5162 memory: 27786 loss: 0.0671 loss_text: 0.0413 loss_kernel: 0.0258 2022/11/01 22:13:58 - mmengine - INFO - Epoch(train) [217][15/63] lr: 1.0000e-05 eta: 15:22:12 time: 0.8046 data_time: 0.0322 memory: 27786 loss: 0.0773 loss_text: 0.0485 loss_kernel: 0.0288 2022/11/01 22:14:02 - mmengine - INFO - Epoch(train) [217][20/63] lr: 1.0000e-05 eta: 15:21:20 time: 0.7938 data_time: 0.0196 memory: 27786 loss: 0.0645 loss_text: 0.0401 loss_kernel: 0.0244 2022/11/01 22:14:06 - mmengine - INFO - Epoch(train) [217][25/63] lr: 1.0000e-05 eta: 15:21:20 time: 0.8132 data_time: 0.0319 memory: 27786 loss: 0.0539 loss_text: 0.0325 loss_kernel: 0.0214 2022/11/01 22:14:10 - mmengine - INFO - Epoch(train) [217][30/63] lr: 1.0000e-05 eta: 15:20:28 time: 0.7970 data_time: 0.0198 memory: 27786 loss: 0.0522 loss_text: 0.0312 loss_kernel: 0.0210 2022/11/01 22:14:14 - mmengine - INFO - Epoch(train) [217][35/63] lr: 1.0000e-05 eta: 15:20:28 time: 0.7986 data_time: 0.0186 memory: 27786 loss: 0.0486 loss_text: 0.0286 loss_kernel: 0.0200 2022/11/01 22:14:18 - mmengine - INFO - Epoch(train) [217][40/63] lr: 1.0000e-05 eta: 15:19:36 time: 0.7890 data_time: 0.0208 memory: 27786 loss: 0.0542 loss_text: 0.0330 loss_kernel: 0.0211 2022/11/01 22:14:23 - mmengine - INFO - Epoch(train) [217][45/63] lr: 1.0000e-05 eta: 15:19:36 time: 0.8277 data_time: 0.0588 memory: 27786 loss: 0.0578 loss_text: 0.0357 loss_kernel: 0.0222 2022/11/01 22:14:26 - mmengine - INFO - Epoch(train) [217][50/63] lr: 1.0000e-05 eta: 15:18:45 time: 0.8344 data_time: 0.0687 memory: 27786 loss: 0.0612 loss_text: 0.0383 loss_kernel: 0.0228 2022/11/01 22:14:30 - mmengine - INFO - Epoch(train) [217][55/63] lr: 1.0000e-05 eta: 15:18:45 time: 0.7731 data_time: 0.0266 memory: 27786 loss: 0.0709 loss_text: 0.0444 loss_kernel: 0.0265 2022/11/01 22:14:34 - mmengine - INFO - Epoch(train) [217][60/63] lr: 1.0000e-05 eta: 15:17:53 time: 0.7799 data_time: 0.0190 memory: 27786 loss: 0.0654 loss_text: 0.0402 loss_kernel: 0.0252 2022/11/01 22:14:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:16:25 - mmengine - INFO - Epoch(train) [218][5/63] lr: 1.0000e-05 eta: 15:17:53 time: 11.1840 data_time: 10.4299 memory: 27786 loss: 0.0560 loss_text: 0.0343 loss_kernel: 0.0216 2022/11/01 22:16:29 - mmengine - INFO - Epoch(train) [218][10/63] lr: 1.0000e-05 eta: 15:20:04 time: 11.2300 data_time: 10.4470 memory: 27786 loss: 0.0545 loss_text: 0.0333 loss_kernel: 0.0212 2022/11/01 22:16:32 - mmengine - INFO - Epoch(train) [218][15/63] lr: 1.0000e-05 eta: 15:20:04 time: 0.7870 data_time: 0.0258 memory: 27786 loss: 0.0473 loss_text: 0.0284 loss_kernel: 0.0189 2022/11/01 22:16:36 - mmengine - INFO - Epoch(train) [218][20/63] lr: 1.0000e-05 eta: 15:19:11 time: 0.7683 data_time: 0.0172 memory: 27786 loss: 0.0475 loss_text: 0.0283 loss_kernel: 0.0192 2022/11/01 22:16:40 - mmengine - INFO - Epoch(train) [218][25/63] lr: 1.0000e-05 eta: 15:19:11 time: 0.7870 data_time: 0.0317 memory: 27786 loss: 0.0473 loss_text: 0.0279 loss_kernel: 0.0194 2022/11/01 22:16:44 - mmengine - INFO - Epoch(train) [218][30/63] lr: 1.0000e-05 eta: 15:18:19 time: 0.7932 data_time: 0.0243 memory: 27786 loss: 0.0656 loss_text: 0.0407 loss_kernel: 0.0250 2022/11/01 22:16:48 - mmengine - INFO - Epoch(train) [218][35/63] lr: 1.0000e-05 eta: 15:18:19 time: 0.7977 data_time: 0.0194 memory: 27786 loss: 0.0678 loss_text: 0.0421 loss_kernel: 0.0256 2022/11/01 22:16:52 - mmengine - INFO - Epoch(train) [218][40/63] lr: 1.0000e-05 eta: 15:17:28 time: 0.7922 data_time: 0.0204 memory: 27786 loss: 0.0548 loss_text: 0.0326 loss_kernel: 0.0222 2022/11/01 22:16:56 - mmengine - INFO - Epoch(train) [218][45/63] lr: 1.0000e-05 eta: 15:17:28 time: 0.7803 data_time: 0.0194 memory: 27786 loss: 0.0518 loss_text: 0.0301 loss_kernel: 0.0217 2022/11/01 22:17:00 - mmengine - INFO - Epoch(train) [218][50/63] lr: 1.0000e-05 eta: 15:16:36 time: 0.8019 data_time: 0.0283 memory: 27786 loss: 0.0473 loss_text: 0.0278 loss_kernel: 0.0194 2022/11/01 22:17:04 - mmengine - INFO - Epoch(train) [218][55/63] lr: 1.0000e-05 eta: 15:16:36 time: 0.8023 data_time: 0.0236 memory: 27786 loss: 0.0554 loss_text: 0.0340 loss_kernel: 0.0214 2022/11/01 22:17:08 - mmengine - INFO - Epoch(train) [218][60/63] lr: 1.0000e-05 eta: 15:15:44 time: 0.7842 data_time: 0.0172 memory: 27786 loss: 0.0535 loss_text: 0.0329 loss_kernel: 0.0206 2022/11/01 22:17:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:18:56 - mmengine - INFO - Epoch(train) [219][5/63] lr: 1.0000e-05 eta: 15:15:44 time: 10.9377 data_time: 10.1947 memory: 27786 loss: 0.0538 loss_text: 0.0321 loss_kernel: 0.0217 2022/11/01 22:19:00 - mmengine - INFO - Epoch(train) [219][10/63] lr: 1.0000e-05 eta: 15:17:49 time: 10.9938 data_time: 10.2037 memory: 27786 loss: 0.0547 loss_text: 0.0326 loss_kernel: 0.0221 2022/11/01 22:19:04 - mmengine - INFO - Epoch(train) [219][15/63] lr: 1.0000e-05 eta: 15:17:49 time: 0.8034 data_time: 0.0284 memory: 27786 loss: 0.0545 loss_text: 0.0331 loss_kernel: 0.0214 2022/11/01 22:19:08 - mmengine - INFO - Epoch(train) [219][20/63] lr: 1.0000e-05 eta: 15:16:58 time: 0.7926 data_time: 0.0247 memory: 27786 loss: 0.0547 loss_text: 0.0340 loss_kernel: 0.0208 2022/11/01 22:19:12 - mmengine - INFO - Epoch(train) [219][25/63] lr: 1.0000e-05 eta: 15:16:58 time: 0.7943 data_time: 0.0190 memory: 27786 loss: 0.0529 loss_text: 0.0325 loss_kernel: 0.0204 2022/11/01 22:19:16 - mmengine - INFO - Epoch(train) [219][30/63] lr: 1.0000e-05 eta: 15:16:06 time: 0.8128 data_time: 0.0223 memory: 27786 loss: 0.0660 loss_text: 0.0405 loss_kernel: 0.0255 2022/11/01 22:19:20 - mmengine - INFO - Epoch(train) [219][35/63] lr: 1.0000e-05 eta: 15:16:06 time: 0.8059 data_time: 0.0224 memory: 27786 loss: 0.0698 loss_text: 0.0427 loss_kernel: 0.0271 2022/11/01 22:19:24 - mmengine - INFO - Epoch(train) [219][40/63] lr: 1.0000e-05 eta: 15:15:15 time: 0.7928 data_time: 0.0234 memory: 27786 loss: 0.0583 loss_text: 0.0350 loss_kernel: 0.0233 2022/11/01 22:19:28 - mmengine - INFO - Epoch(train) [219][45/63] lr: 1.0000e-05 eta: 15:15:15 time: 0.8001 data_time: 0.0257 memory: 27786 loss: 0.0633 loss_text: 0.0393 loss_kernel: 0.0240 2022/11/01 22:19:32 - mmengine - INFO - Epoch(train) [219][50/63] lr: 1.0000e-05 eta: 15:14:23 time: 0.7993 data_time: 0.0219 memory: 27786 loss: 0.0634 loss_text: 0.0395 loss_kernel: 0.0239 2022/11/01 22:19:36 - mmengine - INFO - Epoch(train) [219][55/63] lr: 1.0000e-05 eta: 15:14:23 time: 0.7957 data_time: 0.0249 memory: 27786 loss: 0.0612 loss_text: 0.0377 loss_kernel: 0.0234 2022/11/01 22:19:40 - mmengine - INFO - Epoch(train) [219][60/63] lr: 1.0000e-05 eta: 15:13:32 time: 0.7905 data_time: 0.0221 memory: 27786 loss: 0.0656 loss_text: 0.0408 loss_kernel: 0.0247 2022/11/01 22:19:42 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:21:28 - mmengine - INFO - Epoch(train) [220][5/63] lr: 1.0000e-05 eta: 15:13:32 time: 10.9357 data_time: 10.1808 memory: 27786 loss: 0.0586 loss_text: 0.0356 loss_kernel: 0.0230 2022/11/01 22:21:32 - mmengine - INFO - Epoch(train) [220][10/63] lr: 1.0000e-05 eta: 15:15:35 time: 10.9760 data_time: 10.1808 memory: 27786 loss: 0.0579 loss_text: 0.0353 loss_kernel: 0.0227 2022/11/01 22:21:36 - mmengine - INFO - Epoch(train) [220][15/63] lr: 1.0000e-05 eta: 15:15:35 time: 0.8051 data_time: 0.0271 memory: 27786 loss: 0.0482 loss_text: 0.0288 loss_kernel: 0.0194 2022/11/01 22:21:40 - mmengine - INFO - Epoch(train) [220][20/63] lr: 1.0000e-05 eta: 15:14:44 time: 0.8139 data_time: 0.0331 memory: 27786 loss: 0.0546 loss_text: 0.0326 loss_kernel: 0.0220 2022/11/01 22:21:44 - mmengine - INFO - Epoch(train) [220][25/63] lr: 1.0000e-05 eta: 15:14:44 time: 0.8013 data_time: 0.0261 memory: 27786 loss: 0.0559 loss_text: 0.0322 loss_kernel: 0.0238 2022/11/01 22:21:48 - mmengine - INFO - Epoch(train) [220][30/63] lr: 1.0000e-05 eta: 15:13:53 time: 0.7885 data_time: 0.0220 memory: 27786 loss: 0.0520 loss_text: 0.0300 loss_kernel: 0.0220 2022/11/01 22:21:52 - mmengine - INFO - Epoch(train) [220][35/63] lr: 1.0000e-05 eta: 15:13:53 time: 0.7966 data_time: 0.0296 memory: 27786 loss: 0.0547 loss_text: 0.0331 loss_kernel: 0.0216 2022/11/01 22:21:56 - mmengine - INFO - Epoch(train) [220][40/63] lr: 1.0000e-05 eta: 15:13:02 time: 0.7997 data_time: 0.0281 memory: 27786 loss: 0.0596 loss_text: 0.0370 loss_kernel: 0.0226 2022/11/01 22:22:00 - mmengine - INFO - Epoch(train) [220][45/63] lr: 1.0000e-05 eta: 15:13:02 time: 0.7921 data_time: 0.0191 memory: 27786 loss: 0.0619 loss_text: 0.0386 loss_kernel: 0.0233 2022/11/01 22:22:04 - mmengine - INFO - Epoch(train) [220][50/63] lr: 1.0000e-05 eta: 15:12:10 time: 0.7825 data_time: 0.0195 memory: 27786 loss: 0.0589 loss_text: 0.0366 loss_kernel: 0.0223 2022/11/01 22:22:07 - mmengine - INFO - Epoch(train) [220][55/63] lr: 1.0000e-05 eta: 15:12:10 time: 0.7770 data_time: 0.0237 memory: 27786 loss: 0.0540 loss_text: 0.0332 loss_kernel: 0.0209 2022/11/01 22:22:12 - mmengine - INFO - Epoch(train) [220][60/63] lr: 1.0000e-05 eta: 15:11:19 time: 0.7939 data_time: 0.0270 memory: 27786 loss: 0.0521 loss_text: 0.0311 loss_kernel: 0.0210 2022/11/01 22:22:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:22:14 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/11/01 22:24:06 - mmengine - INFO - Epoch(train) [221][5/63] lr: 1.0000e-05 eta: 15:11:19 time: 11.0386 data_time: 10.3036 memory: 27786 loss: 0.0634 loss_text: 0.0396 loss_kernel: 0.0238 2022/11/01 22:24:10 - mmengine - INFO - Epoch(train) [221][10/63] lr: 1.0000e-05 eta: 15:13:24 time: 11.1370 data_time: 10.3541 memory: 27786 loss: 0.0650 loss_text: 0.0406 loss_kernel: 0.0244 2022/11/01 22:24:14 - mmengine - INFO - Epoch(train) [221][15/63] lr: 1.0000e-05 eta: 15:13:24 time: 0.8375 data_time: 0.0617 memory: 27786 loss: 0.0489 loss_text: 0.0289 loss_kernel: 0.0201 2022/11/01 22:24:18 - mmengine - INFO - Epoch(train) [221][20/63] lr: 1.0000e-05 eta: 15:12:33 time: 0.8032 data_time: 0.0336 memory: 27786 loss: 0.0493 loss_text: 0.0287 loss_kernel: 0.0205 2022/11/01 22:24:22 - mmengine - INFO - Epoch(train) [221][25/63] lr: 1.0000e-05 eta: 15:12:33 time: 0.8170 data_time: 0.0406 memory: 27786 loss: 0.0539 loss_text: 0.0321 loss_kernel: 0.0218 2022/11/01 22:24:26 - mmengine - INFO - Epoch(train) [221][30/63] lr: 1.0000e-05 eta: 15:11:42 time: 0.8015 data_time: 0.0223 memory: 27786 loss: 0.0529 loss_text: 0.0316 loss_kernel: 0.0213 2022/11/01 22:24:30 - mmengine - INFO - Epoch(train) [221][35/63] lr: 1.0000e-05 eta: 15:11:42 time: 0.8053 data_time: 0.0255 memory: 27786 loss: 0.0515 loss_text: 0.0310 loss_kernel: 0.0205 2022/11/01 22:24:34 - mmengine - INFO - Epoch(train) [221][40/63] lr: 1.0000e-05 eta: 15:10:51 time: 0.7975 data_time: 0.0211 memory: 27786 loss: 0.0510 loss_text: 0.0310 loss_kernel: 0.0201 2022/11/01 22:24:38 - mmengine - INFO - Epoch(train) [221][45/63] lr: 1.0000e-05 eta: 15:10:51 time: 0.7961 data_time: 0.0212 memory: 27786 loss: 0.0480 loss_text: 0.0286 loss_kernel: 0.0193 2022/11/01 22:24:42 - mmengine - INFO - Epoch(train) [221][50/63] lr: 1.0000e-05 eta: 15:10:00 time: 0.8048 data_time: 0.0323 memory: 27786 loss: 0.0533 loss_text: 0.0321 loss_kernel: 0.0212 2022/11/01 22:24:46 - mmengine - INFO - Epoch(train) [221][55/63] lr: 1.0000e-05 eta: 15:10:00 time: 0.8028 data_time: 0.0271 memory: 27786 loss: 0.0641 loss_text: 0.0396 loss_kernel: 0.0245 2022/11/01 22:24:50 - mmengine - INFO - Epoch(train) [221][60/63] lr: 1.0000e-05 eta: 15:09:09 time: 0.7965 data_time: 0.0177 memory: 27786 loss: 0.0579 loss_text: 0.0354 loss_kernel: 0.0225 2022/11/01 22:24:52 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:26:38 - mmengine - INFO - Epoch(train) [222][5/63] lr: 1.0000e-05 eta: 15:09:09 time: 10.9106 data_time: 10.1735 memory: 27786 loss: 0.0534 loss_text: 0.0322 loss_kernel: 0.0212 2022/11/01 22:26:42 - mmengine - INFO - Epoch(train) [222][10/63] lr: 1.0000e-05 eta: 15:11:10 time: 10.9773 data_time: 10.1814 memory: 27786 loss: 0.0462 loss_text: 0.0279 loss_kernel: 0.0184 2022/11/01 22:26:46 - mmengine - INFO - Epoch(train) [222][15/63] lr: 1.0000e-05 eta: 15:11:10 time: 0.8145 data_time: 0.0228 memory: 27786 loss: 0.0539 loss_text: 0.0335 loss_kernel: 0.0204 2022/11/01 22:26:50 - mmengine - INFO - Epoch(train) [222][20/63] lr: 1.0000e-05 eta: 15:10:19 time: 0.7970 data_time: 0.0220 memory: 27786 loss: 0.0596 loss_text: 0.0374 loss_kernel: 0.0222 2022/11/01 22:26:54 - mmengine - INFO - Epoch(train) [222][25/63] lr: 1.0000e-05 eta: 15:10:19 time: 0.7980 data_time: 0.0269 memory: 27786 loss: 0.0555 loss_text: 0.0338 loss_kernel: 0.0218 2022/11/01 22:26:58 - mmengine - INFO - Epoch(train) [222][30/63] lr: 1.0000e-05 eta: 15:09:29 time: 0.8070 data_time: 0.0242 memory: 27786 loss: 0.0496 loss_text: 0.0297 loss_kernel: 0.0199 2022/11/01 22:27:02 - mmengine - INFO - Epoch(train) [222][35/63] lr: 1.0000e-05 eta: 15:09:29 time: 0.8079 data_time: 0.0205 memory: 27786 loss: 0.0546 loss_text: 0.0337 loss_kernel: 0.0209 2022/11/01 22:27:06 - mmengine - INFO - Epoch(train) [222][40/63] lr: 1.0000e-05 eta: 15:08:38 time: 0.7997 data_time: 0.0215 memory: 27786 loss: 0.0553 loss_text: 0.0339 loss_kernel: 0.0214 2022/11/01 22:27:10 - mmengine - INFO - Epoch(train) [222][45/63] lr: 1.0000e-05 eta: 15:08:38 time: 0.8078 data_time: 0.0254 memory: 27786 loss: 0.0475 loss_text: 0.0283 loss_kernel: 0.0192 2022/11/01 22:27:14 - mmengine - INFO - Epoch(train) [222][50/63] lr: 1.0000e-05 eta: 15:07:48 time: 0.8234 data_time: 0.0278 memory: 27786 loss: 0.0475 loss_text: 0.0284 loss_kernel: 0.0190 2022/11/01 22:27:18 - mmengine - INFO - Epoch(train) [222][55/63] lr: 1.0000e-05 eta: 15:07:48 time: 0.7960 data_time: 0.0226 memory: 27786 loss: 0.0505 loss_text: 0.0306 loss_kernel: 0.0200 2022/11/01 22:27:22 - mmengine - INFO - Epoch(train) [222][60/63] lr: 1.0000e-05 eta: 15:06:56 time: 0.7737 data_time: 0.0186 memory: 27786 loss: 0.0614 loss_text: 0.0382 loss_kernel: 0.0233 2022/11/01 22:27:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:29:09 - mmengine - INFO - Epoch(train) [223][5/63] lr: 1.0000e-05 eta: 15:06:56 time: 10.8283 data_time: 10.0844 memory: 27786 loss: 0.0563 loss_text: 0.0346 loss_kernel: 0.0217 2022/11/01 22:29:13 - mmengine - INFO - Epoch(train) [223][10/63] lr: 1.0000e-05 eta: 15:08:54 time: 10.8767 data_time: 10.0953 memory: 27786 loss: 0.0571 loss_text: 0.0350 loss_kernel: 0.0221 2022/11/01 22:29:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:29:17 - mmengine - INFO - Epoch(train) [223][15/63] lr: 1.0000e-05 eta: 15:08:54 time: 0.8074 data_time: 0.0302 memory: 27786 loss: 0.0662 loss_text: 0.0411 loss_kernel: 0.0251 2022/11/01 22:29:21 - mmengine - INFO - Epoch(train) [223][20/63] lr: 1.0000e-05 eta: 15:08:04 time: 0.8067 data_time: 0.0266 memory: 27786 loss: 0.0558 loss_text: 0.0340 loss_kernel: 0.0218 2022/11/01 22:29:25 - mmengine - INFO - Epoch(train) [223][25/63] lr: 1.0000e-05 eta: 15:08:04 time: 0.7946 data_time: 0.0210 memory: 27786 loss: 0.0452 loss_text: 0.0270 loss_kernel: 0.0181 2022/11/01 22:29:29 - mmengine - INFO - Epoch(train) [223][30/63] lr: 1.0000e-05 eta: 15:07:13 time: 0.7982 data_time: 0.0269 memory: 27786 loss: 0.0445 loss_text: 0.0263 loss_kernel: 0.0182 2022/11/01 22:29:33 - mmengine - INFO - Epoch(train) [223][35/63] lr: 1.0000e-05 eta: 15:07:13 time: 0.8129 data_time: 0.0336 memory: 27786 loss: 0.0450 loss_text: 0.0262 loss_kernel: 0.0188 2022/11/01 22:29:37 - mmengine - INFO - Epoch(train) [223][40/63] lr: 1.0000e-05 eta: 15:06:22 time: 0.7928 data_time: 0.0208 memory: 27786 loss: 0.0481 loss_text: 0.0288 loss_kernel: 0.0194 2022/11/01 22:29:41 - mmengine - INFO - Epoch(train) [223][45/63] lr: 1.0000e-05 eta: 15:06:22 time: 0.8037 data_time: 0.0269 memory: 27786 loss: 0.0482 loss_text: 0.0294 loss_kernel: 0.0188 2022/11/01 22:29:45 - mmengine - INFO - Epoch(train) [223][50/63] lr: 1.0000e-05 eta: 15:05:32 time: 0.8082 data_time: 0.0282 memory: 27786 loss: 0.0590 loss_text: 0.0370 loss_kernel: 0.0220 2022/11/01 22:29:49 - mmengine - INFO - Epoch(train) [223][55/63] lr: 1.0000e-05 eta: 15:05:32 time: 0.7905 data_time: 0.0223 memory: 27786 loss: 0.0612 loss_text: 0.0376 loss_kernel: 0.0235 2022/11/01 22:29:53 - mmengine - INFO - Epoch(train) [223][60/63] lr: 1.0000e-05 eta: 15:04:41 time: 0.7852 data_time: 0.0226 memory: 27786 loss: 0.0502 loss_text: 0.0295 loss_kernel: 0.0207 2022/11/01 22:29:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:31:41 - mmengine - INFO - Epoch(train) [224][5/63] lr: 1.0000e-05 eta: 15:04:41 time: 10.9278 data_time: 10.1845 memory: 27786 loss: 0.0542 loss_text: 0.0332 loss_kernel: 0.0210 2022/11/01 22:31:45 - mmengine - INFO - Epoch(train) [224][10/63] lr: 1.0000e-05 eta: 15:06:40 time: 10.9843 data_time: 10.1979 memory: 27786 loss: 0.0457 loss_text: 0.0273 loss_kernel: 0.0184 2022/11/01 22:31:49 - mmengine - INFO - Epoch(train) [224][15/63] lr: 1.0000e-05 eta: 15:06:40 time: 0.8073 data_time: 0.0257 memory: 27786 loss: 0.0518 loss_text: 0.0314 loss_kernel: 0.0204 2022/11/01 22:31:53 - mmengine - INFO - Epoch(train) [224][20/63] lr: 1.0000e-05 eta: 15:05:50 time: 0.8062 data_time: 0.0163 memory: 27786 loss: 0.0552 loss_text: 0.0340 loss_kernel: 0.0212 2022/11/01 22:31:57 - mmengine - INFO - Epoch(train) [224][25/63] lr: 1.0000e-05 eta: 15:05:50 time: 0.8079 data_time: 0.0226 memory: 27786 loss: 0.0582 loss_text: 0.0360 loss_kernel: 0.0223 2022/11/01 22:32:01 - mmengine - INFO - Epoch(train) [224][30/63] lr: 1.0000e-05 eta: 15:05:00 time: 0.8131 data_time: 0.0293 memory: 27786 loss: 0.0558 loss_text: 0.0344 loss_kernel: 0.0214 2022/11/01 22:32:05 - mmengine - INFO - Epoch(train) [224][35/63] lr: 1.0000e-05 eta: 15:05:00 time: 0.8105 data_time: 0.0328 memory: 27786 loss: 0.0485 loss_text: 0.0290 loss_kernel: 0.0195 2022/11/01 22:32:09 - mmengine - INFO - Epoch(train) [224][40/63] lr: 1.0000e-05 eta: 15:04:09 time: 0.7876 data_time: 0.0239 memory: 27786 loss: 0.0672 loss_text: 0.0425 loss_kernel: 0.0247 2022/11/01 22:32:13 - mmengine - INFO - Epoch(train) [224][45/63] lr: 1.0000e-05 eta: 15:04:09 time: 0.7891 data_time: 0.0279 memory: 27786 loss: 0.0758 loss_text: 0.0481 loss_kernel: 0.0276 2022/11/01 22:32:17 - mmengine - INFO - Epoch(train) [224][50/63] lr: 1.0000e-05 eta: 15:03:19 time: 0.8068 data_time: 0.0311 memory: 27786 loss: 0.0666 loss_text: 0.0412 loss_kernel: 0.0254 2022/11/01 22:32:21 - mmengine - INFO - Epoch(train) [224][55/63] lr: 1.0000e-05 eta: 15:03:19 time: 0.7996 data_time: 0.0249 memory: 27786 loss: 0.0691 loss_text: 0.0433 loss_kernel: 0.0258 2022/11/01 22:32:25 - mmengine - INFO - Epoch(train) [224][60/63] lr: 1.0000e-05 eta: 15:02:28 time: 0.7928 data_time: 0.0219 memory: 27786 loss: 0.0617 loss_text: 0.0382 loss_kernel: 0.0235 2022/11/01 22:32:27 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:34:10 - mmengine - INFO - Epoch(train) [225][5/63] lr: 1.0000e-05 eta: 15:02:28 time: 10.6441 data_time: 9.8961 memory: 27786 loss: 0.0613 loss_text: 0.0366 loss_kernel: 0.0247 2022/11/01 22:34:14 - mmengine - INFO - Epoch(train) [225][10/63] lr: 1.0000e-05 eta: 15:04:20 time: 10.6816 data_time: 9.9083 memory: 27786 loss: 0.0601 loss_text: 0.0357 loss_kernel: 0.0244 2022/11/01 22:34:18 - mmengine - INFO - Epoch(train) [225][15/63] lr: 1.0000e-05 eta: 15:04:20 time: 0.7882 data_time: 0.0237 memory: 27786 loss: 0.0627 loss_text: 0.0385 loss_kernel: 0.0242 2022/11/01 22:34:22 - mmengine - INFO - Epoch(train) [225][20/63] lr: 1.0000e-05 eta: 15:03:30 time: 0.7860 data_time: 0.0195 memory: 27786 loss: 0.0574 loss_text: 0.0351 loss_kernel: 0.0223 2022/11/01 22:34:25 - mmengine - INFO - Epoch(train) [225][25/63] lr: 1.0000e-05 eta: 15:03:30 time: 0.7905 data_time: 0.0235 memory: 27786 loss: 0.0518 loss_text: 0.0315 loss_kernel: 0.0203 2022/11/01 22:34:29 - mmengine - INFO - Epoch(train) [225][30/63] lr: 1.0000e-05 eta: 15:02:40 time: 0.7966 data_time: 0.0181 memory: 27786 loss: 0.0531 loss_text: 0.0325 loss_kernel: 0.0206 2022/11/01 22:34:34 - mmengine - INFO - Epoch(train) [225][35/63] lr: 1.0000e-05 eta: 15:02:40 time: 0.8277 data_time: 0.0467 memory: 27786 loss: 0.0533 loss_text: 0.0326 loss_kernel: 0.0207 2022/11/01 22:34:38 - mmengine - INFO - Epoch(train) [225][40/63] lr: 1.0000e-05 eta: 15:01:50 time: 0.8248 data_time: 0.0438 memory: 27786 loss: 0.0490 loss_text: 0.0288 loss_kernel: 0.0202 2022/11/01 22:34:42 - mmengine - INFO - Epoch(train) [225][45/63] lr: 1.0000e-05 eta: 15:01:50 time: 0.7996 data_time: 0.0221 memory: 27786 loss: 0.0629 loss_text: 0.0387 loss_kernel: 0.0243 2022/11/01 22:34:46 - mmengine - INFO - Epoch(train) [225][50/63] lr: 1.0000e-05 eta: 15:01:00 time: 0.8384 data_time: 0.0557 memory: 27786 loss: 0.0684 loss_text: 0.0430 loss_kernel: 0.0254 2022/11/01 22:34:50 - mmengine - INFO - Epoch(train) [225][55/63] lr: 1.0000e-05 eta: 15:01:00 time: 0.8239 data_time: 0.0452 memory: 27786 loss: 0.0556 loss_text: 0.0333 loss_kernel: 0.0223 2022/11/01 22:34:54 - mmengine - INFO - Epoch(train) [225][60/63] lr: 1.0000e-05 eta: 15:00:10 time: 0.7848 data_time: 0.0150 memory: 27786 loss: 0.0500 loss_text: 0.0298 loss_kernel: 0.0202 2022/11/01 22:34:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:36:46 - mmengine - INFO - Epoch(train) [226][5/63] lr: 1.0000e-05 eta: 15:00:10 time: 11.3509 data_time: 10.6010 memory: 27786 loss: 0.0568 loss_text: 0.0342 loss_kernel: 0.0225 2022/11/01 22:36:50 - mmengine - INFO - Epoch(train) [226][10/63] lr: 1.0000e-05 eta: 15:02:15 time: 11.4197 data_time: 10.6295 memory: 27786 loss: 0.0546 loss_text: 0.0335 loss_kernel: 0.0211 2022/11/01 22:36:54 - mmengine - INFO - Epoch(train) [226][15/63] lr: 1.0000e-05 eta: 15:02:15 time: 0.8086 data_time: 0.0360 memory: 27786 loss: 0.0646 loss_text: 0.0395 loss_kernel: 0.0251 2022/11/01 22:36:58 - mmengine - INFO - Epoch(train) [226][20/63] lr: 1.0000e-05 eta: 15:01:24 time: 0.7826 data_time: 0.0141 memory: 27786 loss: 0.0741 loss_text: 0.0453 loss_kernel: 0.0288 2022/11/01 22:37:02 - mmengine - INFO - Epoch(train) [226][25/63] lr: 1.0000e-05 eta: 15:01:24 time: 0.8209 data_time: 0.0333 memory: 27786 loss: 0.0621 loss_text: 0.0384 loss_kernel: 0.0237 2022/11/01 22:37:06 - mmengine - INFO - Epoch(train) [226][30/63] lr: 1.0000e-05 eta: 15:00:34 time: 0.8159 data_time: 0.0286 memory: 27786 loss: 0.0542 loss_text: 0.0333 loss_kernel: 0.0209 2022/11/01 22:37:10 - mmengine - INFO - Epoch(train) [226][35/63] lr: 1.0000e-05 eta: 15:00:34 time: 0.7980 data_time: 0.0295 memory: 27786 loss: 0.0481 loss_text: 0.0288 loss_kernel: 0.0193 2022/11/01 22:37:14 - mmengine - INFO - Epoch(train) [226][40/63] lr: 1.0000e-05 eta: 14:59:44 time: 0.8001 data_time: 0.0315 memory: 27786 loss: 0.0525 loss_text: 0.0316 loss_kernel: 0.0209 2022/11/01 22:37:18 - mmengine - INFO - Epoch(train) [226][45/63] lr: 1.0000e-05 eta: 14:59:44 time: 0.7935 data_time: 0.0233 memory: 27786 loss: 0.0647 loss_text: 0.0398 loss_kernel: 0.0249 2022/11/01 22:37:22 - mmengine - INFO - Epoch(train) [226][50/63] lr: 1.0000e-05 eta: 14:58:54 time: 0.7881 data_time: 0.0288 memory: 27786 loss: 0.0634 loss_text: 0.0388 loss_kernel: 0.0247 2022/11/01 22:37:26 - mmengine - INFO - Epoch(train) [226][55/63] lr: 1.0000e-05 eta: 14:58:54 time: 0.7822 data_time: 0.0227 memory: 27786 loss: 0.0534 loss_text: 0.0307 loss_kernel: 0.0226 2022/11/01 22:37:30 - mmengine - INFO - Epoch(train) [226][60/63] lr: 1.0000e-05 eta: 14:58:04 time: 0.7860 data_time: 0.0183 memory: 27786 loss: 0.0569 loss_text: 0.0329 loss_kernel: 0.0241 2022/11/01 22:37:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:39:20 - mmengine - INFO - Epoch(train) [227][5/63] lr: 1.0000e-05 eta: 14:58:04 time: 11.1036 data_time: 10.3580 memory: 27786 loss: 0.0541 loss_text: 0.0323 loss_kernel: 0.0218 2022/11/01 22:39:24 - mmengine - INFO - Epoch(train) [227][10/63] lr: 1.0000e-05 eta: 15:00:03 time: 11.1577 data_time: 10.3735 memory: 27786 loss: 0.0610 loss_text: 0.0382 loss_kernel: 0.0228 2022/11/01 22:39:27 - mmengine - INFO - Epoch(train) [227][15/63] lr: 1.0000e-05 eta: 15:00:03 time: 0.7983 data_time: 0.0257 memory: 27786 loss: 0.0568 loss_text: 0.0349 loss_kernel: 0.0219 2022/11/01 22:39:32 - mmengine - INFO - Epoch(train) [227][20/63] lr: 1.0000e-05 eta: 14:59:13 time: 0.7941 data_time: 0.0177 memory: 27786 loss: 0.0542 loss_text: 0.0326 loss_kernel: 0.0215 2022/11/01 22:39:36 - mmengine - INFO - Epoch(train) [227][25/63] lr: 1.0000e-05 eta: 14:59:13 time: 0.8986 data_time: 0.1353 memory: 27786 loss: 0.0609 loss_text: 0.0372 loss_kernel: 0.0236 2022/11/01 22:39:40 - mmengine - INFO - Epoch(train) [227][30/63] lr: 1.0000e-05 eta: 14:58:24 time: 0.8813 data_time: 0.1260 memory: 27786 loss: 0.0540 loss_text: 0.0328 loss_kernel: 0.0212 2022/11/01 22:39:44 - mmengine - INFO - Epoch(train) [227][35/63] lr: 1.0000e-05 eta: 14:58:24 time: 0.7826 data_time: 0.0175 memory: 27786 loss: 0.0632 loss_text: 0.0394 loss_kernel: 0.0239 2022/11/01 22:39:48 - mmengine - INFO - Epoch(train) [227][40/63] lr: 1.0000e-05 eta: 14:57:34 time: 0.7895 data_time: 0.0208 memory: 27786 loss: 0.0608 loss_text: 0.0378 loss_kernel: 0.0230 2022/11/01 22:39:52 - mmengine - INFO - Epoch(train) [227][45/63] lr: 1.0000e-05 eta: 14:57:34 time: 0.7897 data_time: 0.0193 memory: 27786 loss: 0.0443 loss_text: 0.0264 loss_kernel: 0.0179 2022/11/01 22:39:56 - mmengine - INFO - Epoch(train) [227][50/63] lr: 1.0000e-05 eta: 14:56:44 time: 0.8049 data_time: 0.0269 memory: 27786 loss: 0.0532 loss_text: 0.0316 loss_kernel: 0.0216 2022/11/01 22:40:00 - mmengine - INFO - Epoch(train) [227][55/63] lr: 1.0000e-05 eta: 14:56:44 time: 0.7972 data_time: 0.0220 memory: 27786 loss: 0.0584 loss_text: 0.0352 loss_kernel: 0.0232 2022/11/01 22:40:04 - mmengine - INFO - Epoch(train) [227][60/63] lr: 1.0000e-05 eta: 14:55:54 time: 0.7859 data_time: 0.0156 memory: 27786 loss: 0.0661 loss_text: 0.0408 loss_kernel: 0.0253 2022/11/01 22:40:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:41:51 - mmengine - INFO - Epoch(train) [228][5/63] lr: 1.0000e-05 eta: 14:55:54 time: 10.8417 data_time: 10.1007 memory: 27786 loss: 0.0563 loss_text: 0.0345 loss_kernel: 0.0218 2022/11/01 22:41:55 - mmengine - INFO - Epoch(train) [228][10/63] lr: 1.0000e-05 eta: 14:57:47 time: 10.8755 data_time: 10.1029 memory: 27786 loss: 0.0572 loss_text: 0.0348 loss_kernel: 0.0224 2022/11/01 22:41:59 - mmengine - INFO - Epoch(train) [228][15/63] lr: 1.0000e-05 eta: 14:57:47 time: 0.7997 data_time: 0.0247 memory: 27786 loss: 0.0486 loss_text: 0.0292 loss_kernel: 0.0194 2022/11/01 22:42:03 - mmengine - INFO - Epoch(train) [228][20/63] lr: 1.0000e-05 eta: 14:56:57 time: 0.8147 data_time: 0.0356 memory: 27786 loss: 0.0530 loss_text: 0.0321 loss_kernel: 0.0209 2022/11/01 22:42:07 - mmengine - INFO - Epoch(train) [228][25/63] lr: 1.0000e-05 eta: 14:56:57 time: 0.7971 data_time: 0.0275 memory: 27786 loss: 0.0593 loss_text: 0.0364 loss_kernel: 0.0229 2022/11/01 22:42:11 - mmengine - INFO - Epoch(train) [228][30/63] lr: 1.0000e-05 eta: 14:56:08 time: 0.7972 data_time: 0.0199 memory: 27786 loss: 0.0541 loss_text: 0.0325 loss_kernel: 0.0215 2022/11/01 22:42:15 - mmengine - INFO - Epoch(train) [228][35/63] lr: 1.0000e-05 eta: 14:56:08 time: 0.8034 data_time: 0.0257 memory: 27786 loss: 0.0504 loss_text: 0.0306 loss_kernel: 0.0198 2022/11/01 22:42:19 - mmengine - INFO - Epoch(train) [228][40/63] lr: 1.0000e-05 eta: 14:55:18 time: 0.8007 data_time: 0.0253 memory: 27786 loss: 0.0624 loss_text: 0.0392 loss_kernel: 0.0233 2022/11/01 22:42:23 - mmengine - INFO - Epoch(train) [228][45/63] lr: 1.0000e-05 eta: 14:55:18 time: 0.8144 data_time: 0.0261 memory: 27786 loss: 0.0620 loss_text: 0.0381 loss_kernel: 0.0238 2022/11/01 22:42:27 - mmengine - INFO - Epoch(train) [228][50/63] lr: 1.0000e-05 eta: 14:54:29 time: 0.8158 data_time: 0.0225 memory: 27786 loss: 0.0509 loss_text: 0.0303 loss_kernel: 0.0207 2022/11/01 22:42:31 - mmengine - INFO - Epoch(train) [228][55/63] lr: 1.0000e-05 eta: 14:54:29 time: 0.7898 data_time: 0.0208 memory: 27786 loss: 0.0550 loss_text: 0.0339 loss_kernel: 0.0212 2022/11/01 22:42:35 - mmengine - INFO - Epoch(train) [228][60/63] lr: 1.0000e-05 eta: 14:53:39 time: 0.7941 data_time: 0.0249 memory: 27786 loss: 0.0523 loss_text: 0.0322 loss_kernel: 0.0201 2022/11/01 22:42:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:44:22 - mmengine - INFO - Epoch(train) [229][5/63] lr: 1.0000e-05 eta: 14:53:39 time: 10.8608 data_time: 10.1200 memory: 27786 loss: 0.0547 loss_text: 0.0314 loss_kernel: 0.0233 2022/11/01 22:44:26 - mmengine - INFO - Epoch(train) [229][10/63] lr: 1.0000e-05 eta: 14:55:31 time: 10.9255 data_time: 10.1337 memory: 27786 loss: 0.0582 loss_text: 0.0343 loss_kernel: 0.0239 2022/11/01 22:44:31 - mmengine - INFO - Epoch(train) [229][15/63] lr: 1.0000e-05 eta: 14:55:31 time: 0.8251 data_time: 0.0316 memory: 27786 loss: 0.0514 loss_text: 0.0306 loss_kernel: 0.0209 2022/11/01 22:44:35 - mmengine - INFO - Epoch(train) [229][20/63] lr: 1.0000e-05 eta: 14:54:42 time: 0.8159 data_time: 0.0236 memory: 27786 loss: 0.0516 loss_text: 0.0307 loss_kernel: 0.0209 2022/11/01 22:44:39 - mmengine - INFO - Epoch(train) [229][25/63] lr: 1.0000e-05 eta: 14:54:42 time: 0.8178 data_time: 0.0315 memory: 27786 loss: 0.0512 loss_text: 0.0304 loss_kernel: 0.0207 2022/11/01 22:44:43 - mmengine - INFO - Epoch(train) [229][30/63] lr: 1.0000e-05 eta: 14:53:53 time: 0.8113 data_time: 0.0298 memory: 27786 loss: 0.0459 loss_text: 0.0274 loss_kernel: 0.0186 2022/11/01 22:44:47 - mmengine - INFO - Epoch(train) [229][35/63] lr: 1.0000e-05 eta: 14:53:53 time: 0.7983 data_time: 0.0199 memory: 27786 loss: 0.0631 loss_text: 0.0393 loss_kernel: 0.0237 2022/11/01 22:44:51 - mmengine - INFO - Epoch(train) [229][40/63] lr: 1.0000e-05 eta: 14:53:03 time: 0.7984 data_time: 0.0201 memory: 27786 loss: 0.0727 loss_text: 0.0462 loss_kernel: 0.0265 2022/11/01 22:44:55 - mmengine - INFO - Epoch(train) [229][45/63] lr: 1.0000e-05 eta: 14:53:03 time: 0.8044 data_time: 0.0290 memory: 27786 loss: 0.0634 loss_text: 0.0387 loss_kernel: 0.0246 2022/11/01 22:44:59 - mmengine - INFO - Epoch(train) [229][50/63] lr: 1.0000e-05 eta: 14:52:14 time: 0.7924 data_time: 0.0242 memory: 27786 loss: 0.0537 loss_text: 0.0322 loss_kernel: 0.0216 2022/11/01 22:45:02 - mmengine - INFO - Epoch(train) [229][55/63] lr: 1.0000e-05 eta: 14:52:14 time: 0.7749 data_time: 0.0164 memory: 27786 loss: 0.0631 loss_text: 0.0396 loss_kernel: 0.0235 2022/11/01 22:45:06 - mmengine - INFO - Epoch(train) [229][60/63] lr: 1.0000e-05 eta: 14:51:24 time: 0.7833 data_time: 0.0163 memory: 27786 loss: 0.0638 loss_text: 0.0398 loss_kernel: 0.0240 2022/11/01 22:45:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:46:54 - mmengine - INFO - Epoch(train) [230][5/63] lr: 1.0000e-05 eta: 14:51:24 time: 10.8480 data_time: 10.1118 memory: 27786 loss: 0.0475 loss_text: 0.0283 loss_kernel: 0.0192 2022/11/01 22:46:58 - mmengine - INFO - Epoch(train) [230][10/63] lr: 1.0000e-05 eta: 14:53:15 time: 10.9142 data_time: 10.1259 memory: 27786 loss: 0.0486 loss_text: 0.0288 loss_kernel: 0.0198 2022/11/01 22:47:02 - mmengine - INFO - Epoch(train) [230][15/63] lr: 1.0000e-05 eta: 14:53:15 time: 0.8140 data_time: 0.0363 memory: 27786 loss: 0.0486 loss_text: 0.0288 loss_kernel: 0.0198 2022/11/01 22:47:06 - mmengine - INFO - Epoch(train) [230][20/63] lr: 1.0000e-05 eta: 14:52:26 time: 0.8063 data_time: 0.0458 memory: 27786 loss: 0.0532 loss_text: 0.0320 loss_kernel: 0.0211 2022/11/01 22:47:10 - mmengine - INFO - Epoch(train) [230][25/63] lr: 1.0000e-05 eta: 14:52:26 time: 0.8121 data_time: 0.0347 memory: 27786 loss: 0.0532 loss_text: 0.0319 loss_kernel: 0.0213 2022/11/01 22:47:14 - mmengine - INFO - Epoch(train) [230][30/63] lr: 1.0000e-05 eta: 14:51:37 time: 0.8056 data_time: 0.0172 memory: 27786 loss: 0.0505 loss_text: 0.0299 loss_kernel: 0.0206 2022/11/01 22:47:18 - mmengine - INFO - Epoch(train) [230][35/63] lr: 1.0000e-05 eta: 14:51:37 time: 0.7806 data_time: 0.0197 memory: 27786 loss: 0.0605 loss_text: 0.0376 loss_kernel: 0.0229 2022/11/01 22:47:22 - mmengine - INFO - Epoch(train) [230][40/63] lr: 1.0000e-05 eta: 14:50:47 time: 0.7833 data_time: 0.0212 memory: 27786 loss: 0.0592 loss_text: 0.0368 loss_kernel: 0.0224 2022/11/01 22:47:26 - mmengine - INFO - Epoch(train) [230][45/63] lr: 1.0000e-05 eta: 14:50:47 time: 0.7987 data_time: 0.0288 memory: 27786 loss: 0.0552 loss_text: 0.0336 loss_kernel: 0.0216 2022/11/01 22:47:30 - mmengine - INFO - Epoch(train) [230][50/63] lr: 1.0000e-05 eta: 14:49:58 time: 0.7901 data_time: 0.0225 memory: 27786 loss: 0.0553 loss_text: 0.0335 loss_kernel: 0.0218 2022/11/01 22:47:33 - mmengine - INFO - Epoch(train) [230][55/63] lr: 1.0000e-05 eta: 14:49:58 time: 0.7830 data_time: 0.0187 memory: 27786 loss: 0.0506 loss_text: 0.0301 loss_kernel: 0.0205 2022/11/01 22:47:37 - mmengine - INFO - Epoch(train) [230][60/63] lr: 1.0000e-05 eta: 14:49:08 time: 0.7791 data_time: 0.0219 memory: 27786 loss: 0.0484 loss_text: 0.0291 loss_kernel: 0.0193 2022/11/01 22:47:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:49:24 - mmengine - INFO - Epoch(train) [231][5/63] lr: 1.0000e-05 eta: 14:49:08 time: 10.8008 data_time: 10.0504 memory: 27786 loss: 0.0449 loss_text: 0.0264 loss_kernel: 0.0185 2022/11/01 22:49:28 - mmengine - INFO - Epoch(train) [231][10/63] lr: 1.0000e-05 eta: 14:50:57 time: 10.8457 data_time: 10.0619 memory: 27786 loss: 0.0460 loss_text: 0.0270 loss_kernel: 0.0190 2022/11/01 22:49:32 - mmengine - INFO - Epoch(train) [231][15/63] lr: 1.0000e-05 eta: 14:50:57 time: 0.8047 data_time: 0.0248 memory: 27786 loss: 0.0493 loss_text: 0.0295 loss_kernel: 0.0198 2022/11/01 22:49:36 - mmengine - INFO - Epoch(train) [231][20/63] lr: 1.0000e-05 eta: 14:50:08 time: 0.8035 data_time: 0.0293 memory: 27786 loss: 0.0537 loss_text: 0.0326 loss_kernel: 0.0211 2022/11/01 22:49:40 - mmengine - INFO - Epoch(train) [231][25/63] lr: 1.0000e-05 eta: 14:50:08 time: 0.8109 data_time: 0.0427 memory: 27786 loss: 0.0525 loss_text: 0.0318 loss_kernel: 0.0207 2022/11/01 22:49:44 - mmengine - INFO - Epoch(train) [231][30/63] lr: 1.0000e-05 eta: 14:49:19 time: 0.8057 data_time: 0.0296 memory: 27786 loss: 0.0474 loss_text: 0.0281 loss_kernel: 0.0193 2022/11/01 22:49:48 - mmengine - INFO - Epoch(train) [231][35/63] lr: 1.0000e-05 eta: 14:49:19 time: 0.8033 data_time: 0.0243 memory: 27786 loss: 0.0542 loss_text: 0.0330 loss_kernel: 0.0212 2022/11/01 22:49:52 - mmengine - INFO - Epoch(train) [231][40/63] lr: 1.0000e-05 eta: 14:48:30 time: 0.8033 data_time: 0.0222 memory: 27786 loss: 0.0610 loss_text: 0.0382 loss_kernel: 0.0228 2022/11/01 22:49:56 - mmengine - INFO - Epoch(train) [231][45/63] lr: 1.0000e-05 eta: 14:48:30 time: 0.7924 data_time: 0.0201 memory: 27786 loss: 0.0581 loss_text: 0.0360 loss_kernel: 0.0221 2022/11/01 22:50:00 - mmengine - INFO - Epoch(train) [231][50/63] lr: 1.0000e-05 eta: 14:47:40 time: 0.7749 data_time: 0.0260 memory: 27786 loss: 0.0708 loss_text: 0.0448 loss_kernel: 0.0261 2022/11/01 22:50:04 - mmengine - INFO - Epoch(train) [231][55/63] lr: 1.0000e-05 eta: 14:47:40 time: 0.7681 data_time: 0.0259 memory: 27786 loss: 0.0739 loss_text: 0.0472 loss_kernel: 0.0267 2022/11/01 22:50:08 - mmengine - INFO - Epoch(train) [231][60/63] lr: 1.0000e-05 eta: 14:46:51 time: 0.7911 data_time: 0.0183 memory: 27786 loss: 0.0562 loss_text: 0.0349 loss_kernel: 0.0213 2022/11/01 22:50:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:51:52 - mmengine - INFO - Epoch(train) [232][5/63] lr: 1.0000e-05 eta: 14:46:51 time: 10.6096 data_time: 9.8429 memory: 27786 loss: 0.0466 loss_text: 0.0280 loss_kernel: 0.0186 2022/11/01 22:51:56 - mmengine - INFO - Epoch(train) [232][10/63] lr: 1.0000e-05 eta: 14:48:36 time: 10.6581 data_time: 9.8452 memory: 27786 loss: 0.0533 loss_text: 0.0330 loss_kernel: 0.0203 2022/11/01 22:52:00 - mmengine - INFO - Epoch(train) [232][15/63] lr: 1.0000e-05 eta: 14:48:36 time: 0.8137 data_time: 0.0236 memory: 27786 loss: 0.0584 loss_text: 0.0362 loss_kernel: 0.0222 2022/11/01 22:52:04 - mmengine - INFO - Epoch(train) [232][20/63] lr: 1.0000e-05 eta: 14:47:47 time: 0.8057 data_time: 0.0287 memory: 27786 loss: 0.0543 loss_text: 0.0333 loss_kernel: 0.0210 2022/11/01 22:52:08 - mmengine - INFO - Epoch(train) [232][25/63] lr: 1.0000e-05 eta: 14:47:47 time: 0.8008 data_time: 0.0242 memory: 27786 loss: 0.0503 loss_text: 0.0301 loss_kernel: 0.0201 2022/11/01 22:52:13 - mmengine - INFO - Epoch(train) [232][30/63] lr: 1.0000e-05 eta: 14:46:58 time: 0.8040 data_time: 0.0292 memory: 27786 loss: 0.0492 loss_text: 0.0297 loss_kernel: 0.0195 2022/11/01 22:52:16 - mmengine - INFO - Epoch(train) [232][35/63] lr: 1.0000e-05 eta: 14:46:58 time: 0.8071 data_time: 0.0272 memory: 27786 loss: 0.0586 loss_text: 0.0365 loss_kernel: 0.0221 2022/11/01 22:52:20 - mmengine - INFO - Epoch(train) [232][40/63] lr: 1.0000e-05 eta: 14:46:09 time: 0.7930 data_time: 0.0190 memory: 27786 loss: 0.0582 loss_text: 0.0357 loss_kernel: 0.0225 2022/11/01 22:52:24 - mmengine - INFO - Epoch(train) [232][45/63] lr: 1.0000e-05 eta: 14:46:09 time: 0.7912 data_time: 0.0253 memory: 27786 loss: 0.0510 loss_text: 0.0309 loss_kernel: 0.0201 2022/11/01 22:52:28 - mmengine - INFO - Epoch(train) [232][50/63] lr: 1.0000e-05 eta: 14:45:20 time: 0.7771 data_time: 0.0230 memory: 27786 loss: 0.0593 loss_text: 0.0370 loss_kernel: 0.0223 2022/11/01 22:52:32 - mmengine - INFO - Epoch(train) [232][55/63] lr: 1.0000e-05 eta: 14:45:20 time: 0.7999 data_time: 0.0511 memory: 27786 loss: 0.0549 loss_text: 0.0339 loss_kernel: 0.0210 2022/11/01 22:52:36 - mmengine - INFO - Epoch(train) [232][60/63] lr: 1.0000e-05 eta: 14:44:31 time: 0.8121 data_time: 0.0511 memory: 27786 loss: 0.0529 loss_text: 0.0319 loss_kernel: 0.0210 2022/11/01 22:52:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:54:25 - mmengine - INFO - Epoch(train) [233][5/63] lr: 1.0000e-05 eta: 14:44:31 time: 11.0171 data_time: 10.2711 memory: 27786 loss: 0.0489 loss_text: 0.0296 loss_kernel: 0.0193 2022/11/01 22:54:29 - mmengine - INFO - Epoch(train) [233][10/63] lr: 1.0000e-05 eta: 14:46:21 time: 11.0659 data_time: 10.2894 memory: 27786 loss: 0.0610 loss_text: 0.0371 loss_kernel: 0.0239 2022/11/01 22:54:33 - mmengine - INFO - Epoch(train) [233][15/63] lr: 1.0000e-05 eta: 14:46:21 time: 0.7931 data_time: 0.0294 memory: 27786 loss: 0.0639 loss_text: 0.0387 loss_kernel: 0.0252 2022/11/01 22:54:37 - mmengine - INFO - Epoch(train) [233][20/63] lr: 1.0000e-05 eta: 14:45:32 time: 0.7794 data_time: 0.0151 memory: 27786 loss: 0.0629 loss_text: 0.0393 loss_kernel: 0.0237 2022/11/01 22:54:41 - mmengine - INFO - Epoch(train) [233][25/63] lr: 1.0000e-05 eta: 14:45:32 time: 0.8000 data_time: 0.0311 memory: 27786 loss: 0.0582 loss_text: 0.0362 loss_kernel: 0.0220 2022/11/01 22:54:45 - mmengine - INFO - Epoch(train) [233][30/63] lr: 1.0000e-05 eta: 14:44:44 time: 0.8057 data_time: 0.0293 memory: 27786 loss: 0.0550 loss_text: 0.0333 loss_kernel: 0.0217 2022/11/01 22:54:49 - mmengine - INFO - Epoch(train) [233][35/63] lr: 1.0000e-05 eta: 14:44:44 time: 0.7931 data_time: 0.0198 memory: 27786 loss: 0.0536 loss_text: 0.0321 loss_kernel: 0.0215 2022/11/01 22:54:53 - mmengine - INFO - Epoch(train) [233][40/63] lr: 1.0000e-05 eta: 14:43:55 time: 0.7959 data_time: 0.0197 memory: 27786 loss: 0.0499 loss_text: 0.0301 loss_kernel: 0.0198 2022/11/01 22:54:57 - mmengine - INFO - Epoch(train) [233][45/63] lr: 1.0000e-05 eta: 14:43:55 time: 0.8134 data_time: 0.0212 memory: 27786 loss: 0.0515 loss_text: 0.0308 loss_kernel: 0.0207 2022/11/01 22:55:01 - mmengine - INFO - Epoch(train) [233][50/63] lr: 1.0000e-05 eta: 14:43:06 time: 0.8140 data_time: 0.0293 memory: 27786 loss: 0.0530 loss_text: 0.0312 loss_kernel: 0.0218 2022/11/01 22:55:05 - mmengine - INFO - Epoch(train) [233][55/63] lr: 1.0000e-05 eta: 14:43:06 time: 0.7824 data_time: 0.0269 memory: 27786 loss: 0.0595 loss_text: 0.0364 loss_kernel: 0.0232 2022/11/01 22:55:09 - mmengine - INFO - Epoch(train) [233][60/63] lr: 1.0000e-05 eta: 14:42:17 time: 0.7613 data_time: 0.0166 memory: 27786 loss: 0.0573 loss_text: 0.0354 loss_kernel: 0.0219 2022/11/01 22:55:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:56:59 - mmengine - INFO - Epoch(train) [234][5/63] lr: 1.0000e-05 eta: 14:42:17 time: 11.1889 data_time: 10.4589 memory: 27786 loss: 0.0488 loss_text: 0.0294 loss_kernel: 0.0193 2022/11/01 22:57:03 - mmengine - INFO - Epoch(train) [234][10/63] lr: 1.0000e-05 eta: 14:44:10 time: 11.2510 data_time: 10.4709 memory: 27786 loss: 0.0453 loss_text: 0.0269 loss_kernel: 0.0184 2022/11/01 22:57:07 - mmengine - INFO - Epoch(train) [234][15/63] lr: 1.0000e-05 eta: 14:44:10 time: 0.7969 data_time: 0.0221 memory: 27786 loss: 0.0459 loss_text: 0.0271 loss_kernel: 0.0188 2022/11/01 22:57:11 - mmengine - INFO - Epoch(train) [234][20/63] lr: 1.0000e-05 eta: 14:43:21 time: 0.7927 data_time: 0.0147 memory: 27786 loss: 0.0535 loss_text: 0.0320 loss_kernel: 0.0216 2022/11/01 22:57:15 - mmengine - INFO - Epoch(train) [234][25/63] lr: 1.0000e-05 eta: 14:43:21 time: 0.8034 data_time: 0.0311 memory: 27786 loss: 0.0576 loss_text: 0.0352 loss_kernel: 0.0225 2022/11/01 22:57:19 - mmengine - INFO - Epoch(train) [234][30/63] lr: 1.0000e-05 eta: 14:42:33 time: 0.8091 data_time: 0.0286 memory: 27786 loss: 0.0612 loss_text: 0.0369 loss_kernel: 0.0243 2022/11/01 22:57:23 - mmengine - INFO - Epoch(train) [234][35/63] lr: 1.0000e-05 eta: 14:42:33 time: 0.8015 data_time: 0.0217 memory: 27786 loss: 0.0576 loss_text: 0.0351 loss_kernel: 0.0225 2022/11/01 22:57:27 - mmengine - INFO - Epoch(train) [234][40/63] lr: 1.0000e-05 eta: 14:41:44 time: 0.7956 data_time: 0.0241 memory: 27786 loss: 0.0560 loss_text: 0.0350 loss_kernel: 0.0210 2022/11/01 22:57:31 - mmengine - INFO - Epoch(train) [234][45/63] lr: 1.0000e-05 eta: 14:41:44 time: 0.8029 data_time: 0.0249 memory: 27786 loss: 0.0548 loss_text: 0.0336 loss_kernel: 0.0212 2022/11/01 22:57:35 - mmengine - INFO - Epoch(train) [234][50/63] lr: 1.0000e-05 eta: 14:40:56 time: 0.8031 data_time: 0.0258 memory: 27786 loss: 0.0590 loss_text: 0.0362 loss_kernel: 0.0228 2022/11/01 22:57:39 - mmengine - INFO - Epoch(train) [234][55/63] lr: 1.0000e-05 eta: 14:40:56 time: 0.7850 data_time: 0.0230 memory: 27786 loss: 0.0649 loss_text: 0.0397 loss_kernel: 0.0252 2022/11/01 22:57:43 - mmengine - INFO - Epoch(train) [234][60/63] lr: 1.0000e-05 eta: 14:40:07 time: 0.7720 data_time: 0.0191 memory: 27786 loss: 0.0531 loss_text: 0.0319 loss_kernel: 0.0212 2022/11/01 22:57:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 22:59:27 - mmengine - INFO - Epoch(train) [235][5/63] lr: 1.0000e-05 eta: 14:40:07 time: 10.5469 data_time: 9.8157 memory: 27786 loss: 0.0518 loss_text: 0.0310 loss_kernel: 0.0208 2022/11/01 22:59:31 - mmengine - INFO - Epoch(train) [235][10/63] lr: 1.0000e-05 eta: 14:41:47 time: 10.5999 data_time: 9.8239 memory: 27786 loss: 0.0604 loss_text: 0.0372 loss_kernel: 0.0232 2022/11/01 22:59:36 - mmengine - INFO - Epoch(train) [235][15/63] lr: 1.0000e-05 eta: 14:41:47 time: 0.8706 data_time: 0.0935 memory: 27786 loss: 0.0666 loss_text: 0.0418 loss_kernel: 0.0248 2022/11/01 22:59:40 - mmengine - INFO - Epoch(train) [235][20/63] lr: 1.0000e-05 eta: 14:41:00 time: 0.8825 data_time: 0.0941 memory: 27786 loss: 0.0615 loss_text: 0.0380 loss_kernel: 0.0235 2022/11/01 22:59:44 - mmengine - INFO - Epoch(train) [235][25/63] lr: 1.0000e-05 eta: 14:41:00 time: 0.8148 data_time: 0.0237 memory: 27786 loss: 0.0491 loss_text: 0.0293 loss_kernel: 0.0198 2022/11/01 22:59:48 - mmengine - INFO - Epoch(train) [235][30/63] lr: 1.0000e-05 eta: 14:40:12 time: 0.8202 data_time: 0.0193 memory: 27786 loss: 0.0591 loss_text: 0.0367 loss_kernel: 0.0225 2022/11/01 22:59:52 - mmengine - INFO - Epoch(train) [235][35/63] lr: 1.0000e-05 eta: 14:40:12 time: 0.8215 data_time: 0.0273 memory: 27786 loss: 0.0617 loss_text: 0.0386 loss_kernel: 0.0232 2022/11/01 22:59:56 - mmengine - INFO - Epoch(train) [235][40/63] lr: 1.0000e-05 eta: 14:39:24 time: 0.8109 data_time: 0.0200 memory: 27786 loss: 0.0611 loss_text: 0.0381 loss_kernel: 0.0230 2022/11/01 23:00:00 - mmengine - INFO - Epoch(train) [235][45/63] lr: 1.0000e-05 eta: 14:39:24 time: 0.8203 data_time: 0.0192 memory: 27786 loss: 0.0588 loss_text: 0.0362 loss_kernel: 0.0226 2022/11/01 23:00:04 - mmengine - INFO - Epoch(train) [235][50/63] lr: 1.0000e-05 eta: 14:38:36 time: 0.8030 data_time: 0.0259 memory: 27786 loss: 0.0483 loss_text: 0.0285 loss_kernel: 0.0198 2022/11/01 23:00:08 - mmengine - INFO - Epoch(train) [235][55/63] lr: 1.0000e-05 eta: 14:38:36 time: 0.7795 data_time: 0.0195 memory: 27786 loss: 0.0549 loss_text: 0.0326 loss_kernel: 0.0223 2022/11/01 23:00:12 - mmengine - INFO - Epoch(train) [235][60/63] lr: 1.0000e-05 eta: 14:37:47 time: 0.7820 data_time: 0.0163 memory: 27786 loss: 0.0653 loss_text: 0.0406 loss_kernel: 0.0247 2022/11/01 23:00:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:01:59 - mmengine - INFO - Epoch(train) [236][5/63] lr: 1.0000e-05 eta: 14:37:47 time: 10.8778 data_time: 10.1432 memory: 27786 loss: 0.0584 loss_text: 0.0363 loss_kernel: 0.0221 2022/11/01 23:02:04 - mmengine - INFO - Epoch(train) [236][10/63] lr: 1.0000e-05 eta: 14:39:33 time: 10.9605 data_time: 10.1865 memory: 27786 loss: 0.0545 loss_text: 0.0327 loss_kernel: 0.0219 2022/11/01 23:02:07 - mmengine - INFO - Epoch(train) [236][15/63] lr: 1.0000e-05 eta: 14:39:33 time: 0.8215 data_time: 0.0518 memory: 27786 loss: 0.0521 loss_text: 0.0310 loss_kernel: 0.0210 2022/11/01 23:02:13 - mmengine - INFO - Epoch(train) [236][20/63] lr: 1.0000e-05 eta: 14:38:47 time: 0.9682 data_time: 0.1866 memory: 27786 loss: 0.0549 loss_text: 0.0333 loss_kernel: 0.0215 2022/11/01 23:02:17 - mmengine - INFO - Epoch(train) [236][25/63] lr: 1.0000e-05 eta: 14:38:47 time: 0.9881 data_time: 0.1990 memory: 27786 loss: 0.0517 loss_text: 0.0310 loss_kernel: 0.0207 2022/11/01 23:02:21 - mmengine - INFO - Epoch(train) [236][30/63] lr: 1.0000e-05 eta: 14:37:59 time: 0.8001 data_time: 0.0179 memory: 27786 loss: 0.0532 loss_text: 0.0322 loss_kernel: 0.0210 2022/11/01 23:02:25 - mmengine - INFO - Epoch(train) [236][35/63] lr: 1.0000e-05 eta: 14:37:59 time: 0.7938 data_time: 0.0183 memory: 27786 loss: 0.0570 loss_text: 0.0351 loss_kernel: 0.0220 2022/11/01 23:02:29 - mmengine - INFO - Epoch(train) [236][40/63] lr: 1.0000e-05 eta: 14:37:11 time: 0.7941 data_time: 0.0227 memory: 27786 loss: 0.0582 loss_text: 0.0361 loss_kernel: 0.0221 2022/11/01 23:02:33 - mmengine - INFO - Epoch(train) [236][45/63] lr: 1.0000e-05 eta: 14:37:11 time: 0.8001 data_time: 0.0202 memory: 27786 loss: 0.0516 loss_text: 0.0315 loss_kernel: 0.0201 2022/11/01 23:02:37 - mmengine - INFO - Epoch(train) [236][50/63] lr: 1.0000e-05 eta: 14:36:23 time: 0.8144 data_time: 0.0306 memory: 27786 loss: 0.0511 loss_text: 0.0311 loss_kernel: 0.0200 2022/11/01 23:02:41 - mmengine - INFO - Epoch(train) [236][55/63] lr: 1.0000e-05 eta: 14:36:23 time: 0.8128 data_time: 0.0281 memory: 27786 loss: 0.0517 loss_text: 0.0311 loss_kernel: 0.0206 2022/11/01 23:02:45 - mmengine - INFO - Epoch(train) [236][60/63] lr: 1.0000e-05 eta: 14:35:35 time: 0.8000 data_time: 0.0179 memory: 27786 loss: 0.0527 loss_text: 0.0315 loss_kernel: 0.0213 2022/11/01 23:02:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:04:33 - mmengine - INFO - Epoch(train) [237][5/63] lr: 1.0000e-05 eta: 14:35:35 time: 10.8945 data_time: 10.1458 memory: 27786 loss: 0.0516 loss_text: 0.0313 loss_kernel: 0.0203 2022/11/01 23:04:37 - mmengine - INFO - Epoch(train) [237][10/63] lr: 1.0000e-05 eta: 14:37:19 time: 10.9525 data_time: 10.1600 memory: 27786 loss: 0.0567 loss_text: 0.0345 loss_kernel: 0.0221 2022/11/01 23:04:41 - mmengine - INFO - Epoch(train) [237][15/63] lr: 1.0000e-05 eta: 14:37:19 time: 0.7988 data_time: 0.0243 memory: 27786 loss: 0.0587 loss_text: 0.0358 loss_kernel: 0.0228 2022/11/01 23:04:45 - mmengine - INFO - Epoch(train) [237][20/63] lr: 1.0000e-05 eta: 14:36:31 time: 0.7818 data_time: 0.0148 memory: 27786 loss: 0.0596 loss_text: 0.0355 loss_kernel: 0.0240 2022/11/01 23:04:49 - mmengine - INFO - Epoch(train) [237][25/63] lr: 1.0000e-05 eta: 14:36:31 time: 0.7970 data_time: 0.0270 memory: 27786 loss: 0.0528 loss_text: 0.0305 loss_kernel: 0.0223 2022/11/01 23:04:53 - mmengine - INFO - Epoch(train) [237][30/63] lr: 1.0000e-05 eta: 14:35:42 time: 0.7834 data_time: 0.0203 memory: 27786 loss: 0.0493 loss_text: 0.0293 loss_kernel: 0.0200 2022/11/01 23:04:57 - mmengine - INFO - Epoch(train) [237][35/63] lr: 1.0000e-05 eta: 14:35:42 time: 0.7802 data_time: 0.0192 memory: 27786 loss: 0.0520 loss_text: 0.0307 loss_kernel: 0.0213 2022/11/01 23:05:01 - mmengine - INFO - Epoch(train) [237][40/63] lr: 1.0000e-05 eta: 14:34:54 time: 0.7894 data_time: 0.0211 memory: 27786 loss: 0.0606 loss_text: 0.0365 loss_kernel: 0.0241 2022/11/01 23:05:05 - mmengine - INFO - Epoch(train) [237][45/63] lr: 1.0000e-05 eta: 14:34:54 time: 0.8093 data_time: 0.0273 memory: 27786 loss: 0.0577 loss_text: 0.0349 loss_kernel: 0.0228 2022/11/01 23:05:09 - mmengine - INFO - Epoch(train) [237][50/63] lr: 1.0000e-05 eta: 14:34:06 time: 0.8091 data_time: 0.0326 memory: 27786 loss: 0.0612 loss_text: 0.0368 loss_kernel: 0.0244 2022/11/01 23:05:13 - mmengine - INFO - Epoch(train) [237][55/63] lr: 1.0000e-05 eta: 14:34:06 time: 0.7864 data_time: 0.0203 memory: 27786 loss: 0.0612 loss_text: 0.0378 loss_kernel: 0.0234 2022/11/01 23:05:17 - mmengine - INFO - Epoch(train) [237][60/63] lr: 1.0000e-05 eta: 14:33:18 time: 0.7923 data_time: 0.0175 memory: 27786 loss: 0.0489 loss_text: 0.0294 loss_kernel: 0.0195 2022/11/01 23:05:19 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:07:01 - mmengine - INFO - Epoch(train) [238][5/63] lr: 1.0000e-05 eta: 14:33:18 time: 10.6265 data_time: 9.8784 memory: 27786 loss: 0.0537 loss_text: 0.0319 loss_kernel: 0.0218 2022/11/01 23:07:06 - mmengine - INFO - Epoch(train) [238][10/63] lr: 1.0000e-05 eta: 14:34:58 time: 10.6983 data_time: 9.8993 memory: 27786 loss: 0.0553 loss_text: 0.0334 loss_kernel: 0.0218 2022/11/01 23:07:10 - mmengine - INFO - Epoch(train) [238][15/63] lr: 1.0000e-05 eta: 14:34:58 time: 0.8272 data_time: 0.0399 memory: 27786 loss: 0.0508 loss_text: 0.0303 loss_kernel: 0.0204 2022/11/01 23:07:14 - mmengine - INFO - Epoch(train) [238][20/63] lr: 1.0000e-05 eta: 14:34:10 time: 0.8103 data_time: 0.0353 memory: 27786 loss: 0.0544 loss_text: 0.0330 loss_kernel: 0.0214 2022/11/01 23:07:18 - mmengine - INFO - Epoch(train) [238][25/63] lr: 1.0000e-05 eta: 14:34:10 time: 0.7997 data_time: 0.0307 memory: 27786 loss: 0.0643 loss_text: 0.0397 loss_kernel: 0.0245 2022/11/01 23:07:22 - mmengine - INFO - Epoch(train) [238][30/63] lr: 1.0000e-05 eta: 14:33:22 time: 0.7887 data_time: 0.0205 memory: 27786 loss: 0.0576 loss_text: 0.0349 loss_kernel: 0.0227 2022/11/01 23:07:26 - mmengine - INFO - Epoch(train) [238][35/63] lr: 1.0000e-05 eta: 14:33:22 time: 0.7966 data_time: 0.0300 memory: 27786 loss: 0.0559 loss_text: 0.0336 loss_kernel: 0.0223 2022/11/01 23:07:29 - mmengine - INFO - Epoch(train) [238][40/63] lr: 1.0000e-05 eta: 14:32:34 time: 0.7808 data_time: 0.0207 memory: 27786 loss: 0.0559 loss_text: 0.0341 loss_kernel: 0.0218 2022/11/01 23:07:34 - mmengine - INFO - Epoch(train) [238][45/63] lr: 1.0000e-05 eta: 14:32:34 time: 0.8038 data_time: 0.0370 memory: 27786 loss: 0.0528 loss_text: 0.0322 loss_kernel: 0.0206 2022/11/01 23:07:37 - mmengine - INFO - Epoch(train) [238][50/63] lr: 1.0000e-05 eta: 14:31:46 time: 0.8054 data_time: 0.0410 memory: 27786 loss: 0.0522 loss_text: 0.0315 loss_kernel: 0.0206 2022/11/01 23:07:42 - mmengine - INFO - Epoch(train) [238][55/63] lr: 1.0000e-05 eta: 14:31:46 time: 0.7928 data_time: 0.0186 memory: 27786 loss: 0.0509 loss_text: 0.0310 loss_kernel: 0.0199 2022/11/01 23:07:46 - mmengine - INFO - Epoch(train) [238][60/63] lr: 1.0000e-05 eta: 14:30:58 time: 0.8077 data_time: 0.0218 memory: 27786 loss: 0.0536 loss_text: 0.0323 loss_kernel: 0.0213 2022/11/01 23:07:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:09:35 - mmengine - INFO - Epoch(train) [239][5/63] lr: 1.0000e-05 eta: 14:30:58 time: 11.1173 data_time: 10.3790 memory: 27786 loss: 0.0507 loss_text: 0.0300 loss_kernel: 0.0207 2022/11/01 23:09:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:09:39 - mmengine - INFO - Epoch(train) [239][10/63] lr: 1.0000e-05 eta: 14:32:45 time: 11.1920 data_time: 10.3951 memory: 27786 loss: 0.0488 loss_text: 0.0291 loss_kernel: 0.0197 2022/11/01 23:09:43 - mmengine - INFO - Epoch(train) [239][15/63] lr: 1.0000e-05 eta: 14:32:45 time: 0.8165 data_time: 0.0292 memory: 27786 loss: 0.0522 loss_text: 0.0323 loss_kernel: 0.0199 2022/11/01 23:09:47 - mmengine - INFO - Epoch(train) [239][20/63] lr: 1.0000e-05 eta: 14:31:57 time: 0.7940 data_time: 0.0180 memory: 27786 loss: 0.0617 loss_text: 0.0387 loss_kernel: 0.0230 2022/11/01 23:09:51 - mmengine - INFO - Epoch(train) [239][25/63] lr: 1.0000e-05 eta: 14:31:57 time: 0.7839 data_time: 0.0247 memory: 27786 loss: 0.0532 loss_text: 0.0320 loss_kernel: 0.0211 2022/11/01 23:09:55 - mmengine - INFO - Epoch(train) [239][30/63] lr: 1.0000e-05 eta: 14:31:09 time: 0.7690 data_time: 0.0200 memory: 27786 loss: 0.0496 loss_text: 0.0294 loss_kernel: 0.0202 2022/11/01 23:09:59 - mmengine - INFO - Epoch(train) [239][35/63] lr: 1.0000e-05 eta: 14:31:09 time: 0.7792 data_time: 0.0248 memory: 27786 loss: 0.0586 loss_text: 0.0358 loss_kernel: 0.0228 2022/11/01 23:10:03 - mmengine - INFO - Epoch(train) [239][40/63] lr: 1.0000e-05 eta: 14:30:21 time: 0.7832 data_time: 0.0217 memory: 27786 loss: 0.0593 loss_text: 0.0370 loss_kernel: 0.0222 2022/11/01 23:10:07 - mmengine - INFO - Epoch(train) [239][45/63] lr: 1.0000e-05 eta: 14:30:21 time: 0.7852 data_time: 0.0184 memory: 27786 loss: 0.0506 loss_text: 0.0310 loss_kernel: 0.0195 2022/11/01 23:10:11 - mmengine - INFO - Epoch(train) [239][50/63] lr: 1.0000e-05 eta: 14:29:33 time: 0.7901 data_time: 0.0276 memory: 27786 loss: 0.0567 loss_text: 0.0346 loss_kernel: 0.0220 2022/11/01 23:10:15 - mmengine - INFO - Epoch(train) [239][55/63] lr: 1.0000e-05 eta: 14:29:33 time: 0.7920 data_time: 0.0228 memory: 27786 loss: 0.0615 loss_text: 0.0379 loss_kernel: 0.0236 2022/11/01 23:10:19 - mmengine - INFO - Epoch(train) [239][60/63] lr: 1.0000e-05 eta: 14:28:45 time: 0.7956 data_time: 0.0169 memory: 27786 loss: 0.0490 loss_text: 0.0293 loss_kernel: 0.0198 2022/11/01 23:10:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:12:01 - mmengine - INFO - Epoch(train) [240][5/63] lr: 1.0000e-05 eta: 14:28:45 time: 10.3588 data_time: 9.6125 memory: 27786 loss: 0.0468 loss_text: 0.0279 loss_kernel: 0.0189 2022/11/01 23:12:05 - mmengine - INFO - Epoch(train) [240][10/63] lr: 1.0000e-05 eta: 14:30:18 time: 10.4400 data_time: 9.6492 memory: 27786 loss: 0.0547 loss_text: 0.0336 loss_kernel: 0.0211 2022/11/01 23:12:09 - mmengine - INFO - Epoch(train) [240][15/63] lr: 1.0000e-05 eta: 14:30:18 time: 0.8122 data_time: 0.0457 memory: 27786 loss: 0.0542 loss_text: 0.0330 loss_kernel: 0.0212 2022/11/01 23:12:13 - mmengine - INFO - Epoch(train) [240][20/63] lr: 1.0000e-05 eta: 14:29:31 time: 0.7849 data_time: 0.0240 memory: 27786 loss: 0.0484 loss_text: 0.0293 loss_kernel: 0.0191 2022/11/01 23:12:17 - mmengine - INFO - Epoch(train) [240][25/63] lr: 1.0000e-05 eta: 14:29:31 time: 0.8190 data_time: 0.0469 memory: 27786 loss: 0.0506 loss_text: 0.0310 loss_kernel: 0.0196 2022/11/01 23:12:21 - mmengine - INFO - Epoch(train) [240][30/63] lr: 1.0000e-05 eta: 14:28:43 time: 0.8185 data_time: 0.0391 memory: 27786 loss: 0.0538 loss_text: 0.0324 loss_kernel: 0.0213 2022/11/01 23:12:25 - mmengine - INFO - Epoch(train) [240][35/63] lr: 1.0000e-05 eta: 14:28:43 time: 0.8147 data_time: 0.0266 memory: 27786 loss: 0.0626 loss_text: 0.0377 loss_kernel: 0.0249 2022/11/01 23:12:29 - mmengine - INFO - Epoch(train) [240][40/63] lr: 1.0000e-05 eta: 14:27:56 time: 0.8038 data_time: 0.0218 memory: 27786 loss: 0.0571 loss_text: 0.0342 loss_kernel: 0.0229 2022/11/01 23:12:33 - mmengine - INFO - Epoch(train) [240][45/63] lr: 1.0000e-05 eta: 14:27:56 time: 0.7925 data_time: 0.0202 memory: 27786 loss: 0.0470 loss_text: 0.0282 loss_kernel: 0.0189 2022/11/01 23:12:37 - mmengine - INFO - Epoch(train) [240][50/63] lr: 1.0000e-05 eta: 14:27:08 time: 0.7869 data_time: 0.0234 memory: 27786 loss: 0.0469 loss_text: 0.0278 loss_kernel: 0.0192 2022/11/01 23:12:41 - mmengine - INFO - Epoch(train) [240][55/63] lr: 1.0000e-05 eta: 14:27:08 time: 0.7915 data_time: 0.0237 memory: 27786 loss: 0.0581 loss_text: 0.0353 loss_kernel: 0.0227 2022/11/01 23:12:45 - mmengine - INFO - Epoch(train) [240][60/63] lr: 1.0000e-05 eta: 14:26:21 time: 0.8131 data_time: 0.0254 memory: 27786 loss: 0.0646 loss_text: 0.0400 loss_kernel: 0.0246 2022/11/01 23:12:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:12:47 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/11/01 23:13:24 - mmengine - INFO - Epoch(val) [240][5/500] eta: 14:26:21 time: 3.2139 data_time: 3.1662 memory: 27786 2022/11/01 23:13:24 - mmengine - INFO - Epoch(val) [240][10/500] eta: 0:26:21 time: 3.2276 data_time: 3.1665 memory: 2082 2022/11/01 23:13:25 - mmengine - INFO - Epoch(val) [240][15/500] eta: 0:26:21 time: 0.0578 data_time: 0.0023 memory: 2007 2022/11/01 23:13:25 - mmengine - INFO - Epoch(val) [240][20/500] eta: 0:00:23 time: 0.0494 data_time: 0.0022 memory: 1705 2022/11/01 23:13:25 - mmengine - INFO - Epoch(val) [240][25/500] eta: 0:00:23 time: 0.0456 data_time: 0.0022 memory: 1705 2022/11/01 23:13:26 - mmengine - INFO - Epoch(val) [240][30/500] eta: 0:00:32 time: 0.0681 data_time: 0.0268 memory: 1705 2022/11/01 23:13:26 - mmengine - INFO - Epoch(val) [240][35/500] eta: 0:00:32 time: 0.0709 data_time: 0.0267 memory: 1705 2022/11/01 23:13:26 - mmengine - INFO - Epoch(val) [240][40/500] eta: 0:00:21 time: 0.0457 data_time: 0.0021 memory: 1743 2022/11/01 23:13:26 - mmengine - INFO - Epoch(val) [240][45/500] eta: 0:00:21 time: 0.0474 data_time: 0.0023 memory: 2082 2022/11/01 23:13:27 - mmengine - INFO - Epoch(val) [240][50/500] eta: 0:00:22 time: 0.0500 data_time: 0.0024 memory: 1818 2022/11/01 23:13:27 - mmengine - INFO - Epoch(val) [240][55/500] eta: 0:00:22 time: 0.0472 data_time: 0.0024 memory: 1781 2022/11/01 23:13:27 - mmengine - INFO - Epoch(val) [240][60/500] eta: 0:00:21 time: 0.0489 data_time: 0.0023 memory: 1705 2022/11/01 23:13:27 - mmengine - INFO - Epoch(val) [240][65/500] eta: 0:00:21 time: 0.0535 data_time: 0.0023 memory: 1818 2022/11/01 23:13:28 - mmengine - INFO - Epoch(val) [240][70/500] eta: 0:00:27 time: 0.0642 data_time: 0.0165 memory: 2082 2022/11/01 23:13:28 - mmengine - INFO - Epoch(val) [240][75/500] eta: 0:00:27 time: 0.0635 data_time: 0.0162 memory: 1818 2022/11/01 23:13:28 - mmengine - INFO - Epoch(val) [240][80/500] eta: 0:00:20 time: 0.0493 data_time: 0.0021 memory: 1705 2022/11/01 23:13:28 - mmengine - INFO - Epoch(val) [240][85/500] eta: 0:00:20 time: 0.0451 data_time: 0.0019 memory: 1705 2022/11/01 23:13:29 - mmengine - INFO - Epoch(val) [240][90/500] eta: 0:00:19 time: 0.0477 data_time: 0.0019 memory: 2082 2022/11/01 23:13:29 - mmengine - INFO - Epoch(val) [240][95/500] eta: 0:00:19 time: 0.0444 data_time: 0.0017 memory: 1743 2022/11/01 23:13:29 - mmengine - INFO - Epoch(val) [240][100/500] eta: 0:00:15 time: 0.0392 data_time: 0.0015 memory: 2082 2022/11/01 23:13:29 - mmengine - INFO - Epoch(val) [240][105/500] eta: 0:00:15 time: 0.0518 data_time: 0.0020 memory: 1705 2022/11/01 23:13:30 - mmengine - INFO - Epoch(val) [240][110/500] eta: 0:00:21 time: 0.0553 data_time: 0.0024 memory: 2082 2022/11/01 23:13:30 - mmengine - INFO - Epoch(val) [240][115/500] eta: 0:00:21 time: 0.0470 data_time: 0.0020 memory: 1705 2022/11/01 23:13:30 - mmengine - INFO - Epoch(val) [240][120/500] eta: 0:00:19 time: 0.0518 data_time: 0.0021 memory: 1705 2022/11/01 23:13:30 - mmengine - INFO - Epoch(val) [240][125/500] eta: 0:00:19 time: 0.0583 data_time: 0.0023 memory: 2082 2022/11/01 23:13:31 - mmengine - INFO - Epoch(val) [240][130/500] eta: 0:00:19 time: 0.0538 data_time: 0.0024 memory: 1705 2022/11/01 23:13:31 - mmengine - INFO - Epoch(val) [240][135/500] eta: 0:00:19 time: 0.0541 data_time: 0.0025 memory: 1856 2022/11/01 23:13:31 - mmengine - INFO - Epoch(val) [240][140/500] eta: 0:00:19 time: 0.0544 data_time: 0.0024 memory: 1705 2022/11/01 23:13:31 - mmengine - INFO - Epoch(val) [240][145/500] eta: 0:00:19 time: 0.0458 data_time: 0.0022 memory: 2044 2022/11/01 23:13:32 - mmengine - INFO - Epoch(val) [240][150/500] eta: 0:00:15 time: 0.0433 data_time: 0.0023 memory: 1705 2022/11/01 23:13:32 - mmengine - INFO - Epoch(val) [240][155/500] eta: 0:00:15 time: 0.0498 data_time: 0.0024 memory: 1969 2022/11/01 23:13:32 - mmengine - INFO - Epoch(val) [240][160/500] eta: 0:00:18 time: 0.0554 data_time: 0.0021 memory: 2082 2022/11/01 23:13:32 - mmengine - INFO - Epoch(val) [240][165/500] eta: 0:00:18 time: 0.0498 data_time: 0.0020 memory: 1781 2022/11/01 23:13:33 - mmengine - INFO - Epoch(val) [240][170/500] eta: 0:00:15 time: 0.0475 data_time: 0.0019 memory: 1969 2022/11/01 23:13:33 - mmengine - INFO - Epoch(val) [240][175/500] eta: 0:00:15 time: 0.0459 data_time: 0.0017 memory: 2082 2022/11/01 23:13:33 - mmengine - INFO - Epoch(val) [240][180/500] eta: 0:00:13 time: 0.0412 data_time: 0.0015 memory: 2082 2022/11/01 23:13:33 - mmengine - INFO - Epoch(val) [240][185/500] eta: 0:00:13 time: 0.0429 data_time: 0.0016 memory: 1705 2022/11/01 23:13:34 - mmengine - INFO - Epoch(val) [240][190/500] eta: 0:00:14 time: 0.0474 data_time: 0.0018 memory: 1818 2022/11/01 23:13:34 - mmengine - INFO - Epoch(val) [240][195/500] eta: 0:00:14 time: 0.0442 data_time: 0.0021 memory: 1781 2022/11/01 23:13:34 - mmengine - INFO - Epoch(val) [240][200/500] eta: 0:00:12 time: 0.0401 data_time: 0.0022 memory: 1781 2022/11/01 23:13:34 - mmengine - INFO - Epoch(val) [240][205/500] eta: 0:00:12 time: 0.0427 data_time: 0.0020 memory: 1705 2022/11/01 23:13:34 - mmengine - INFO - Epoch(val) [240][210/500] eta: 0:00:13 time: 0.0472 data_time: 0.0024 memory: 2082 2022/11/01 23:13:35 - mmengine - INFO - Epoch(val) [240][215/500] eta: 0:00:13 time: 0.0458 data_time: 0.0025 memory: 1705 2022/11/01 23:13:35 - mmengine - INFO - Epoch(val) [240][220/500] eta: 0:00:11 time: 0.0424 data_time: 0.0035 memory: 1856 2022/11/01 23:13:35 - mmengine - INFO - Epoch(val) [240][225/500] eta: 0:00:11 time: 0.0424 data_time: 0.0032 memory: 2082 2022/11/01 23:13:36 - mmengine - INFO - Epoch(val) [240][230/500] eta: 0:00:16 time: 0.0626 data_time: 0.0018 memory: 1705 2022/11/01 23:13:36 - mmengine - INFO - Epoch(val) [240][235/500] eta: 0:00:16 time: 0.0690 data_time: 0.0026 memory: 2082 2022/11/01 23:13:36 - mmengine - INFO - Epoch(val) [240][240/500] eta: 0:00:13 time: 0.0533 data_time: 0.0026 memory: 2082 2022/11/01 23:13:36 - mmengine - INFO - Epoch(val) [240][245/500] eta: 0:00:13 time: 0.0521 data_time: 0.0021 memory: 2082 2022/11/01 23:13:37 - mmengine - INFO - Epoch(val) [240][250/500] eta: 0:00:14 time: 0.0565 data_time: 0.0114 memory: 1705 2022/11/01 23:13:37 - mmengine - INFO - Epoch(val) [240][255/500] eta: 0:00:14 time: 0.0818 data_time: 0.0114 memory: 1743 2022/11/01 23:13:37 - mmengine - INFO - Epoch(val) [240][260/500] eta: 0:00:17 time: 0.0713 data_time: 0.0026 memory: 1705 2022/11/01 23:13:38 - mmengine - INFO - Epoch(val) [240][265/500] eta: 0:00:17 time: 0.0453 data_time: 0.0024 memory: 2007 2022/11/01 23:13:38 - mmengine - INFO - Epoch(val) [240][270/500] eta: 0:00:11 time: 0.0486 data_time: 0.0019 memory: 1931 2022/11/01 23:13:38 - mmengine - INFO - Epoch(val) [240][275/500] eta: 0:00:11 time: 0.0492 data_time: 0.0020 memory: 2082 2022/11/01 23:13:38 - mmengine - INFO - Epoch(val) [240][280/500] eta: 0:00:09 time: 0.0453 data_time: 0.0019 memory: 2007 2022/11/01 23:13:38 - mmengine - INFO - Epoch(val) [240][285/500] eta: 0:00:09 time: 0.0442 data_time: 0.0018 memory: 1705 2022/11/01 23:13:39 - mmengine - INFO - Epoch(val) [240][290/500] eta: 0:00:10 time: 0.0488 data_time: 0.0019 memory: 2082 2022/11/01 23:13:39 - mmengine - INFO - Epoch(val) [240][295/500] eta: 0:00:10 time: 0.0450 data_time: 0.0020 memory: 1818 2022/11/01 23:13:39 - mmengine - INFO - Epoch(val) [240][300/500] eta: 0:00:09 time: 0.0463 data_time: 0.0020 memory: 1743 2022/11/01 23:13:39 - mmengine - INFO - Epoch(val) [240][305/500] eta: 0:00:09 time: 0.0419 data_time: 0.0020 memory: 1705 2022/11/01 23:13:40 - mmengine - INFO - Epoch(val) [240][310/500] eta: 0:00:07 time: 0.0383 data_time: 0.0020 memory: 1781 2022/11/01 23:13:40 - mmengine - INFO - Epoch(val) [240][315/500] eta: 0:00:07 time: 0.0498 data_time: 0.0020 memory: 2007 2022/11/01 23:13:40 - mmengine - INFO - Epoch(val) [240][320/500] eta: 0:00:09 time: 0.0541 data_time: 0.0021 memory: 2007 2022/11/01 23:13:40 - mmengine - INFO - Epoch(val) [240][325/500] eta: 0:00:09 time: 0.0526 data_time: 0.0022 memory: 2082 2022/11/01 23:13:41 - mmengine - INFO - Epoch(val) [240][330/500] eta: 0:00:08 time: 0.0510 data_time: 0.0021 memory: 1743 2022/11/01 23:13:41 - mmengine - INFO - Epoch(val) [240][335/500] eta: 0:00:08 time: 0.0493 data_time: 0.0020 memory: 1931 2022/11/01 23:13:41 - mmengine - INFO - Epoch(val) [240][340/500] eta: 0:00:07 time: 0.0478 data_time: 0.0019 memory: 2044 2022/11/01 23:13:41 - mmengine - INFO - Epoch(val) [240][345/500] eta: 0:00:07 time: 0.0430 data_time: 0.0021 memory: 1931 2022/11/01 23:13:42 - mmengine - INFO - Epoch(val) [240][350/500] eta: 0:00:07 time: 0.0495 data_time: 0.0022 memory: 1705 2022/11/01 23:13:42 - mmengine - INFO - Epoch(val) [240][355/500] eta: 0:00:07 time: 0.0651 data_time: 0.0020 memory: 2044 2022/11/01 23:13:42 - mmengine - INFO - Epoch(val) [240][360/500] eta: 0:00:07 time: 0.0555 data_time: 0.0020 memory: 1743 2022/11/01 23:13:42 - mmengine - INFO - Epoch(val) [240][365/500] eta: 0:00:07 time: 0.0414 data_time: 0.0021 memory: 1592 2022/11/01 23:13:43 - mmengine - INFO - Epoch(val) [240][370/500] eta: 0:00:05 time: 0.0415 data_time: 0.0019 memory: 1818 2022/11/01 23:13:43 - mmengine - INFO - Epoch(val) [240][375/500] eta: 0:00:05 time: 0.0365 data_time: 0.0019 memory: 1705 2022/11/01 23:13:43 - mmengine - INFO - Epoch(val) [240][380/500] eta: 0:00:04 time: 0.0383 data_time: 0.0018 memory: 2044 2022/11/01 23:13:43 - mmengine - INFO - Epoch(val) [240][385/500] eta: 0:00:04 time: 0.0436 data_time: 0.0019 memory: 2044 2022/11/01 23:13:43 - mmengine - INFO - Epoch(val) [240][390/500] eta: 0:00:05 time: 0.0479 data_time: 0.0020 memory: 2082 2022/11/01 23:13:44 - mmengine - INFO - Epoch(val) [240][395/500] eta: 0:00:05 time: 0.0630 data_time: 0.0020 memory: 1705 2022/11/01 23:13:44 - mmengine - INFO - Epoch(val) [240][400/500] eta: 0:00:06 time: 0.0646 data_time: 0.0019 memory: 2044 2022/11/01 23:13:44 - mmengine - INFO - Epoch(val) [240][405/500] eta: 0:00:06 time: 0.0484 data_time: 0.0018 memory: 2044 2022/11/01 23:13:45 - mmengine - INFO - Epoch(val) [240][410/500] eta: 0:00:03 time: 0.0444 data_time: 0.0019 memory: 1818 2022/11/01 23:13:45 - mmengine - INFO - Epoch(val) [240][415/500] eta: 0:00:03 time: 0.0473 data_time: 0.0019 memory: 1705 2022/11/01 23:13:45 - mmengine - INFO - Epoch(val) [240][420/500] eta: 0:00:04 time: 0.0560 data_time: 0.0020 memory: 2007 2022/11/01 23:13:45 - mmengine - INFO - Epoch(val) [240][425/500] eta: 0:00:04 time: 0.0582 data_time: 0.0020 memory: 1705 2022/11/01 23:13:46 - mmengine - INFO - Epoch(val) [240][430/500] eta: 0:00:03 time: 0.0503 data_time: 0.0020 memory: 2082 2022/11/01 23:13:46 - mmengine - INFO - Epoch(val) [240][435/500] eta: 0:00:03 time: 0.0499 data_time: 0.0020 memory: 1705 2022/11/01 23:13:46 - mmengine - INFO - Epoch(val) [240][440/500] eta: 0:00:02 time: 0.0466 data_time: 0.0019 memory: 1856 2022/11/01 23:13:46 - mmengine - INFO - Epoch(val) [240][445/500] eta: 0:00:02 time: 0.0465 data_time: 0.0020 memory: 2007 2022/11/01 23:13:47 - mmengine - INFO - Epoch(val) [240][450/500] eta: 0:00:02 time: 0.0469 data_time: 0.0020 memory: 1705 2022/11/01 23:13:47 - mmengine - INFO - Epoch(val) [240][455/500] eta: 0:00:02 time: 0.0472 data_time: 0.0019 memory: 2082 2022/11/01 23:13:47 - mmengine - INFO - Epoch(val) [240][460/500] eta: 0:00:01 time: 0.0485 data_time: 0.0018 memory: 1781 2022/11/01 23:13:47 - mmengine - INFO - Epoch(val) [240][465/500] eta: 0:00:01 time: 0.0440 data_time: 0.0021 memory: 1969 2022/11/01 23:13:47 - mmengine - INFO - Epoch(val) [240][470/500] eta: 0:00:01 time: 0.0415 data_time: 0.0022 memory: 1781 2022/11/01 23:13:48 - mmengine - INFO - Epoch(val) [240][475/500] eta: 0:00:01 time: 0.0538 data_time: 0.0021 memory: 2082 2022/11/01 23:13:48 - mmengine - INFO - Epoch(val) [240][480/500] eta: 0:00:01 time: 0.0598 data_time: 0.0021 memory: 2044 2022/11/01 23:13:48 - mmengine - INFO - Epoch(val) [240][485/500] eta: 0:00:01 time: 0.0469 data_time: 0.0021 memory: 1705 2022/11/01 23:13:48 - mmengine - INFO - Epoch(val) [240][490/500] eta: 0:00:00 time: 0.0397 data_time: 0.0020 memory: 1969 2022/11/01 23:13:49 - mmengine - INFO - Epoch(val) [240][495/500] eta: 0:00:00 time: 0.0420 data_time: 0.0020 memory: 2082 2022/11/01 23:13:49 - mmengine - INFO - Epoch(val) [240][500/500] eta: 0:00:00 time: 0.0424 data_time: 0.0020 memory: 1743 2022/11/01 23:13:49 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 23:13:49 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8189, precision: 0.4990, hmean: 0.6201 2022/11/01 23:13:49 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8189, precision: 0.4990, hmean: 0.6201 2022/11/01 23:13:49 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8189, precision: 0.4990, hmean: 0.6201 2022/11/01 23:13:49 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8189, precision: 0.5295, hmean: 0.6432 2022/11/01 23:13:49 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8185, precision: 0.6192, hmean: 0.7050 2022/11/01 23:13:49 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8166, precision: 0.7138, hmean: 0.7617 2022/11/01 23:13:49 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.8007, precision: 0.7927, hmean: 0.7966 2022/11/01 23:13:49 - mmengine - INFO - Epoch(val) [240][500/500] icdar/precision: 0.7927 icdar/recall: 0.8007 icdar/hmean: 0.7966 2022/11/01 23:15:31 - mmengine - INFO - Epoch(train) [241][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 10.5472 data_time: 9.7972 memory: 27786 loss: 0.0548 loss_text: 0.0329 loss_kernel: 0.0219 2022/11/01 23:15:35 - mmengine - INFO - Epoch(train) [241][10/63] lr: 1.0000e-05 eta: 14:27:56 time: 10.6033 data_time: 9.8078 memory: 27786 loss: 0.0645 loss_text: 0.0398 loss_kernel: 0.0247 2022/11/01 23:15:39 - mmengine - INFO - Epoch(train) [241][15/63] lr: 1.0000e-05 eta: 14:27:56 time: 0.7951 data_time: 0.0238 memory: 27786 loss: 0.0558 loss_text: 0.0337 loss_kernel: 0.0221 2022/11/01 23:15:43 - mmengine - INFO - Epoch(train) [241][20/63] lr: 1.0000e-05 eta: 14:27:08 time: 0.7771 data_time: 0.0187 memory: 27786 loss: 0.0515 loss_text: 0.0304 loss_kernel: 0.0211 2022/11/01 23:15:47 - mmengine - INFO - Epoch(train) [241][25/63] lr: 1.0000e-05 eta: 14:27:08 time: 0.8069 data_time: 0.0450 memory: 27786 loss: 0.0596 loss_text: 0.0354 loss_kernel: 0.0242 2022/11/01 23:15:51 - mmengine - INFO - Epoch(train) [241][30/63] lr: 1.0000e-05 eta: 14:26:21 time: 0.8043 data_time: 0.0324 memory: 27786 loss: 0.0540 loss_text: 0.0324 loss_kernel: 0.0216 2022/11/01 23:15:55 - mmengine - INFO - Epoch(train) [241][35/63] lr: 1.0000e-05 eta: 14:26:21 time: 0.7985 data_time: 0.0175 memory: 27786 loss: 0.0463 loss_text: 0.0280 loss_kernel: 0.0182 2022/11/01 23:15:59 - mmengine - INFO - Epoch(train) [241][40/63] lr: 1.0000e-05 eta: 14:25:34 time: 0.7946 data_time: 0.0219 memory: 27786 loss: 0.0595 loss_text: 0.0371 loss_kernel: 0.0224 2022/11/01 23:16:03 - mmengine - INFO - Epoch(train) [241][45/63] lr: 1.0000e-05 eta: 14:25:34 time: 0.7842 data_time: 0.0198 memory: 27786 loss: 0.0616 loss_text: 0.0381 loss_kernel: 0.0234 2022/11/01 23:16:07 - mmengine - INFO - Epoch(train) [241][50/63] lr: 1.0000e-05 eta: 14:24:46 time: 0.7987 data_time: 0.0276 memory: 27786 loss: 0.0506 loss_text: 0.0306 loss_kernel: 0.0200 2022/11/01 23:16:11 - mmengine - INFO - Epoch(train) [241][55/63] lr: 1.0000e-05 eta: 14:24:46 time: 0.8001 data_time: 0.0202 memory: 27786 loss: 0.0535 loss_text: 0.0328 loss_kernel: 0.0207 2022/11/01 23:16:15 - mmengine - INFO - Epoch(train) [241][60/63] lr: 1.0000e-05 eta: 14:23:59 time: 0.7952 data_time: 0.0148 memory: 27786 loss: 0.0566 loss_text: 0.0351 loss_kernel: 0.0215 2022/11/01 23:16:17 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:17:57 - mmengine - INFO - Epoch(train) [242][5/63] lr: 1.0000e-05 eta: 14:23:59 time: 10.3237 data_time: 9.6010 memory: 27786 loss: 0.0599 loss_text: 0.0368 loss_kernel: 0.0231 2022/11/01 23:18:01 - mmengine - INFO - Epoch(train) [242][10/63] lr: 1.0000e-05 eta: 14:25:30 time: 10.4191 data_time: 9.6202 memory: 27786 loss: 0.0589 loss_text: 0.0363 loss_kernel: 0.0227 2022/11/01 23:18:05 - mmengine - INFO - Epoch(train) [242][15/63] lr: 1.0000e-05 eta: 14:25:30 time: 0.8519 data_time: 0.0282 memory: 27786 loss: 0.0512 loss_text: 0.0312 loss_kernel: 0.0200 2022/11/01 23:18:10 - mmengine - INFO - Epoch(train) [242][20/63] lr: 1.0000e-05 eta: 14:24:44 time: 0.8641 data_time: 0.0227 memory: 27786 loss: 0.0458 loss_text: 0.0270 loss_kernel: 0.0188 2022/11/01 23:18:14 - mmengine - INFO - Epoch(train) [242][25/63] lr: 1.0000e-05 eta: 14:24:44 time: 0.8462 data_time: 0.0331 memory: 27786 loss: 0.0485 loss_text: 0.0289 loss_kernel: 0.0196 2022/11/01 23:18:17 - mmengine - INFO - Epoch(train) [242][30/63] lr: 1.0000e-05 eta: 14:23:56 time: 0.7870 data_time: 0.0212 memory: 27786 loss: 0.0595 loss_text: 0.0366 loss_kernel: 0.0230 2022/11/01 23:18:21 - mmengine - INFO - Epoch(train) [242][35/63] lr: 1.0000e-05 eta: 14:23:56 time: 0.7888 data_time: 0.0194 memory: 27786 loss: 0.0618 loss_text: 0.0380 loss_kernel: 0.0238 2022/11/01 23:18:26 - mmengine - INFO - Epoch(train) [242][40/63] lr: 1.0000e-05 eta: 14:23:09 time: 0.8084 data_time: 0.0221 memory: 27786 loss: 0.0525 loss_text: 0.0324 loss_kernel: 0.0200 2022/11/01 23:18:30 - mmengine - INFO - Epoch(train) [242][45/63] lr: 1.0000e-05 eta: 14:23:09 time: 0.8225 data_time: 0.0243 memory: 27786 loss: 0.0468 loss_text: 0.0289 loss_kernel: 0.0180 2022/11/01 23:18:34 - mmengine - INFO - Epoch(train) [242][50/63] lr: 1.0000e-05 eta: 14:22:23 time: 0.8300 data_time: 0.0299 memory: 27786 loss: 0.0500 loss_text: 0.0309 loss_kernel: 0.0192 2022/11/01 23:18:38 - mmengine - INFO - Epoch(train) [242][55/63] lr: 1.0000e-05 eta: 14:22:23 time: 0.8104 data_time: 0.0224 memory: 27786 loss: 0.0534 loss_text: 0.0327 loss_kernel: 0.0208 2022/11/01 23:18:42 - mmengine - INFO - Epoch(train) [242][60/63] lr: 1.0000e-05 eta: 14:21:36 time: 0.7972 data_time: 0.0202 memory: 27786 loss: 0.0478 loss_text: 0.0281 loss_kernel: 0.0196 2022/11/01 23:18:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:20:26 - mmengine - INFO - Epoch(train) [243][5/63] lr: 1.0000e-05 eta: 14:21:36 time: 10.5315 data_time: 9.7858 memory: 27786 loss: 0.0548 loss_text: 0.0325 loss_kernel: 0.0223 2022/11/01 23:20:30 - mmengine - INFO - Epoch(train) [243][10/63] lr: 1.0000e-05 eta: 14:23:08 time: 10.5867 data_time: 9.8143 memory: 27786 loss: 0.0578 loss_text: 0.0350 loss_kernel: 0.0228 2022/11/01 23:20:34 - mmengine - INFO - Epoch(train) [243][15/63] lr: 1.0000e-05 eta: 14:23:08 time: 0.8085 data_time: 0.0395 memory: 27786 loss: 0.0517 loss_text: 0.0311 loss_kernel: 0.0206 2022/11/01 23:20:38 - mmengine - INFO - Epoch(train) [243][20/63] lr: 1.0000e-05 eta: 14:22:21 time: 0.8007 data_time: 0.0245 memory: 27786 loss: 0.0577 loss_text: 0.0355 loss_kernel: 0.0222 2022/11/01 23:20:42 - mmengine - INFO - Epoch(train) [243][25/63] lr: 1.0000e-05 eta: 14:22:21 time: 0.8189 data_time: 0.0348 memory: 27786 loss: 0.0561 loss_text: 0.0332 loss_kernel: 0.0229 2022/11/01 23:20:46 - mmengine - INFO - Epoch(train) [243][30/63] lr: 1.0000e-05 eta: 14:21:34 time: 0.8043 data_time: 0.0211 memory: 27786 loss: 0.0464 loss_text: 0.0264 loss_kernel: 0.0200 2022/11/01 23:20:50 - mmengine - INFO - Epoch(train) [243][35/63] lr: 1.0000e-05 eta: 14:21:34 time: 0.7976 data_time: 0.0197 memory: 27786 loss: 0.0472 loss_text: 0.0275 loss_kernel: 0.0197 2022/11/01 23:20:54 - mmengine - INFO - Epoch(train) [243][40/63] lr: 1.0000e-05 eta: 14:20:47 time: 0.7923 data_time: 0.0212 memory: 27786 loss: 0.0605 loss_text: 0.0363 loss_kernel: 0.0242 2022/11/01 23:20:58 - mmengine - INFO - Epoch(train) [243][45/63] lr: 1.0000e-05 eta: 14:20:47 time: 0.7877 data_time: 0.0202 memory: 27786 loss: 0.0587 loss_text: 0.0356 loss_kernel: 0.0231 2022/11/01 23:21:02 - mmengine - INFO - Epoch(train) [243][50/63] lr: 1.0000e-05 eta: 14:20:00 time: 0.7903 data_time: 0.0250 memory: 27786 loss: 0.0538 loss_text: 0.0326 loss_kernel: 0.0213 2022/11/01 23:21:06 - mmengine - INFO - Epoch(train) [243][55/63] lr: 1.0000e-05 eta: 14:20:00 time: 0.7838 data_time: 0.0215 memory: 27786 loss: 0.0566 loss_text: 0.0344 loss_kernel: 0.0222 2022/11/01 23:21:09 - mmengine - INFO - Epoch(train) [243][60/63] lr: 1.0000e-05 eta: 14:19:13 time: 0.7800 data_time: 0.0200 memory: 27786 loss: 0.0484 loss_text: 0.0290 loss_kernel: 0.0194 2022/11/01 23:21:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:22:51 - mmengine - INFO - Epoch(train) [244][5/63] lr: 1.0000e-05 eta: 14:19:13 time: 10.3175 data_time: 9.5813 memory: 27786 loss: 0.0515 loss_text: 0.0310 loss_kernel: 0.0205 2022/11/01 23:22:55 - mmengine - INFO - Epoch(train) [244][10/63] lr: 1.0000e-05 eta: 14:20:42 time: 10.3789 data_time: 9.5991 memory: 27786 loss: 0.0583 loss_text: 0.0359 loss_kernel: 0.0224 2022/11/01 23:22:59 - mmengine - INFO - Epoch(train) [244][15/63] lr: 1.0000e-05 eta: 14:20:42 time: 0.8104 data_time: 0.0291 memory: 27786 loss: 0.0572 loss_text: 0.0346 loss_kernel: 0.0225 2022/11/01 23:23:04 - mmengine - INFO - Epoch(train) [244][20/63] lr: 1.0000e-05 eta: 14:19:56 time: 0.8431 data_time: 0.0350 memory: 27786 loss: 0.0512 loss_text: 0.0301 loss_kernel: 0.0211 2022/11/01 23:23:08 - mmengine - INFO - Epoch(train) [244][25/63] lr: 1.0000e-05 eta: 14:19:56 time: 0.8777 data_time: 0.0379 memory: 27786 loss: 0.0459 loss_text: 0.0270 loss_kernel: 0.0190 2022/11/01 23:23:12 - mmengine - INFO - Epoch(train) [244][30/63] lr: 1.0000e-05 eta: 14:19:10 time: 0.8628 data_time: 0.0174 memory: 27786 loss: 0.0470 loss_text: 0.0281 loss_kernel: 0.0189 2022/11/01 23:23:16 - mmengine - INFO - Epoch(train) [244][35/63] lr: 1.0000e-05 eta: 14:19:10 time: 0.8281 data_time: 0.0257 memory: 27786 loss: 0.0448 loss_text: 0.0270 loss_kernel: 0.0177 2022/11/01 23:23:20 - mmengine - INFO - Epoch(train) [244][40/63] lr: 1.0000e-05 eta: 14:18:23 time: 0.7958 data_time: 0.0222 memory: 27786 loss: 0.0463 loss_text: 0.0280 loss_kernel: 0.0183 2022/11/01 23:23:24 - mmengine - INFO - Epoch(train) [244][45/63] lr: 1.0000e-05 eta: 14:18:23 time: 0.7850 data_time: 0.0184 memory: 27786 loss: 0.0553 loss_text: 0.0342 loss_kernel: 0.0211 2022/11/01 23:23:28 - mmengine - INFO - Epoch(train) [244][50/63] lr: 1.0000e-05 eta: 14:17:36 time: 0.7868 data_time: 0.0270 memory: 27786 loss: 0.0546 loss_text: 0.0340 loss_kernel: 0.0206 2022/11/01 23:23:32 - mmengine - INFO - Epoch(train) [244][55/63] lr: 1.0000e-05 eta: 14:17:36 time: 0.7950 data_time: 0.0217 memory: 27786 loss: 0.0495 loss_text: 0.0303 loss_kernel: 0.0193 2022/11/01 23:23:36 - mmengine - INFO - Epoch(train) [244][60/63] lr: 1.0000e-05 eta: 14:16:49 time: 0.7946 data_time: 0.0168 memory: 27786 loss: 0.0536 loss_text: 0.0327 loss_kernel: 0.0209 2022/11/01 23:23:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:25:19 - mmengine - INFO - Epoch(train) [245][5/63] lr: 1.0000e-05 eta: 14:16:49 time: 10.3914 data_time: 9.6435 memory: 27786 loss: 0.0617 loss_text: 0.0383 loss_kernel: 0.0234 2022/11/01 23:25:23 - mmengine - INFO - Epoch(train) [245][10/63] lr: 1.0000e-05 eta: 14:18:18 time: 10.4614 data_time: 9.6749 memory: 27786 loss: 0.0638 loss_text: 0.0397 loss_kernel: 0.0241 2022/11/01 23:25:27 - mmengine - INFO - Epoch(train) [245][15/63] lr: 1.0000e-05 eta: 14:18:18 time: 0.8107 data_time: 0.0405 memory: 27786 loss: 0.0565 loss_text: 0.0352 loss_kernel: 0.0213 2022/11/01 23:25:31 - mmengine - INFO - Epoch(train) [245][20/63] lr: 1.0000e-05 eta: 14:17:31 time: 0.7974 data_time: 0.0262 memory: 27786 loss: 0.0506 loss_text: 0.0309 loss_kernel: 0.0197 2022/11/01 23:25:35 - mmengine - INFO - Epoch(train) [245][25/63] lr: 1.0000e-05 eta: 14:17:31 time: 0.7977 data_time: 0.0275 memory: 27786 loss: 0.0533 loss_text: 0.0326 loss_kernel: 0.0208 2022/11/01 23:25:39 - mmengine - INFO - Epoch(train) [245][30/63] lr: 1.0000e-05 eta: 14:16:45 time: 0.7907 data_time: 0.0217 memory: 27786 loss: 0.0636 loss_text: 0.0400 loss_kernel: 0.0236 2022/11/01 23:25:43 - mmengine - INFO - Epoch(train) [245][35/63] lr: 1.0000e-05 eta: 14:16:45 time: 0.8006 data_time: 0.0295 memory: 27786 loss: 0.0592 loss_text: 0.0369 loss_kernel: 0.0223 2022/11/01 23:25:47 - mmengine - INFO - Epoch(train) [245][40/63] lr: 1.0000e-05 eta: 14:15:58 time: 0.7990 data_time: 0.0211 memory: 27786 loss: 0.0485 loss_text: 0.0296 loss_kernel: 0.0189 2022/11/01 23:25:51 - mmengine - INFO - Epoch(train) [245][45/63] lr: 1.0000e-05 eta: 14:15:58 time: 0.8088 data_time: 0.0209 memory: 27786 loss: 0.0545 loss_text: 0.0334 loss_kernel: 0.0211 2022/11/01 23:25:55 - mmengine - INFO - Epoch(train) [245][50/63] lr: 1.0000e-05 eta: 14:15:11 time: 0.8021 data_time: 0.0276 memory: 27786 loss: 0.0577 loss_text: 0.0359 loss_kernel: 0.0218 2022/11/01 23:25:59 - mmengine - INFO - Epoch(train) [245][55/63] lr: 1.0000e-05 eta: 14:15:11 time: 0.7911 data_time: 0.0237 memory: 27786 loss: 0.0565 loss_text: 0.0346 loss_kernel: 0.0219 2022/11/01 23:26:03 - mmengine - INFO - Epoch(train) [245][60/63] lr: 1.0000e-05 eta: 14:14:25 time: 0.7977 data_time: 0.0199 memory: 27786 loss: 0.0548 loss_text: 0.0336 loss_kernel: 0.0212 2022/11/01 23:26:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:27:44 - mmengine - INFO - Epoch(train) [246][5/63] lr: 1.0000e-05 eta: 14:14:25 time: 10.2621 data_time: 9.5207 memory: 27786 loss: 0.0526 loss_text: 0.0328 loss_kernel: 0.0198 2022/11/01 23:27:48 - mmengine - INFO - Epoch(train) [246][10/63] lr: 1.0000e-05 eta: 14:15:51 time: 10.3408 data_time: 9.5278 memory: 27786 loss: 0.0495 loss_text: 0.0303 loss_kernel: 0.0193 2022/11/01 23:27:52 - mmengine - INFO - Epoch(train) [246][15/63] lr: 1.0000e-05 eta: 14:15:51 time: 0.8315 data_time: 0.0255 memory: 27786 loss: 0.0449 loss_text: 0.0266 loss_kernel: 0.0183 2022/11/01 23:27:56 - mmengine - INFO - Epoch(train) [246][20/63] lr: 1.0000e-05 eta: 14:15:05 time: 0.8315 data_time: 0.0411 memory: 27786 loss: 0.0467 loss_text: 0.0276 loss_kernel: 0.0191 2022/11/01 23:28:00 - mmengine - INFO - Epoch(train) [246][25/63] lr: 1.0000e-05 eta: 14:15:05 time: 0.8213 data_time: 0.0318 memory: 27786 loss: 0.0552 loss_text: 0.0339 loss_kernel: 0.0213 2022/11/01 23:28:05 - mmengine - INFO - Epoch(train) [246][30/63] lr: 1.0000e-05 eta: 14:14:19 time: 0.8319 data_time: 0.0260 memory: 27786 loss: 0.0597 loss_text: 0.0371 loss_kernel: 0.0226 2022/11/01 23:28:09 - mmengine - INFO - Epoch(train) [246][35/63] lr: 1.0000e-05 eta: 14:14:19 time: 0.8719 data_time: 0.0461 memory: 27786 loss: 0.0504 loss_text: 0.0305 loss_kernel: 0.0199 2022/11/01 23:28:13 - mmengine - INFO - Epoch(train) [246][40/63] lr: 1.0000e-05 eta: 14:13:34 time: 0.8601 data_time: 0.0311 memory: 27786 loss: 0.0490 loss_text: 0.0294 loss_kernel: 0.0196 2022/11/01 23:28:17 - mmengine - INFO - Epoch(train) [246][45/63] lr: 1.0000e-05 eta: 14:13:34 time: 0.8362 data_time: 0.0194 memory: 27786 loss: 0.0505 loss_text: 0.0302 loss_kernel: 0.0203 2022/11/01 23:28:21 - mmengine - INFO - Epoch(train) [246][50/63] lr: 1.0000e-05 eta: 14:12:47 time: 0.8100 data_time: 0.0254 memory: 27786 loss: 0.0504 loss_text: 0.0307 loss_kernel: 0.0197 2022/11/01 23:28:25 - mmengine - INFO - Epoch(train) [246][55/63] lr: 1.0000e-05 eta: 14:12:47 time: 0.7773 data_time: 0.0245 memory: 27786 loss: 0.0498 loss_text: 0.0298 loss_kernel: 0.0199 2022/11/01 23:28:29 - mmengine - INFO - Epoch(train) [246][60/63] lr: 1.0000e-05 eta: 14:12:01 time: 0.7941 data_time: 0.0202 memory: 27786 loss: 0.0595 loss_text: 0.0357 loss_kernel: 0.0238 2022/11/01 23:28:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:30:12 - mmengine - INFO - Epoch(train) [247][5/63] lr: 1.0000e-05 eta: 14:12:01 time: 10.3752 data_time: 9.6197 memory: 27786 loss: 0.0511 loss_text: 0.0310 loss_kernel: 0.0201 2022/11/01 23:30:16 - mmengine - INFO - Epoch(train) [247][10/63] lr: 1.0000e-05 eta: 14:13:28 time: 10.4352 data_time: 9.6375 memory: 27786 loss: 0.0444 loss_text: 0.0261 loss_kernel: 0.0183 2022/11/01 23:30:20 - mmengine - INFO - Epoch(train) [247][15/63] lr: 1.0000e-05 eta: 14:13:28 time: 0.8171 data_time: 0.0336 memory: 27786 loss: 0.0508 loss_text: 0.0306 loss_kernel: 0.0202 2022/11/01 23:30:24 - mmengine - INFO - Epoch(train) [247][20/63] lr: 1.0000e-05 eta: 14:12:42 time: 0.8038 data_time: 0.0233 memory: 27786 loss: 0.0576 loss_text: 0.0348 loss_kernel: 0.0228 2022/11/01 23:30:28 - mmengine - INFO - Epoch(train) [247][25/63] lr: 1.0000e-05 eta: 14:12:42 time: 0.8053 data_time: 0.0287 memory: 27786 loss: 0.0500 loss_text: 0.0299 loss_kernel: 0.0201 2022/11/01 23:30:32 - mmengine - INFO - Epoch(train) [247][30/63] lr: 1.0000e-05 eta: 14:11:55 time: 0.7908 data_time: 0.0285 memory: 27786 loss: 0.0455 loss_text: 0.0273 loss_kernel: 0.0182 2022/11/01 23:30:36 - mmengine - INFO - Epoch(train) [247][35/63] lr: 1.0000e-05 eta: 14:11:55 time: 0.7915 data_time: 0.0240 memory: 27786 loss: 0.0583 loss_text: 0.0355 loss_kernel: 0.0228 2022/11/01 23:30:40 - mmengine - INFO - Epoch(train) [247][40/63] lr: 1.0000e-05 eta: 14:11:09 time: 0.8105 data_time: 0.0205 memory: 27786 loss: 0.0643 loss_text: 0.0399 loss_kernel: 0.0244 2022/11/01 23:30:44 - mmengine - INFO - Epoch(train) [247][45/63] lr: 1.0000e-05 eta: 14:11:09 time: 0.8312 data_time: 0.0323 memory: 27786 loss: 0.0593 loss_text: 0.0373 loss_kernel: 0.0220 2022/11/01 23:30:48 - mmengine - INFO - Epoch(train) [247][50/63] lr: 1.0000e-05 eta: 14:10:23 time: 0.8193 data_time: 0.0301 memory: 27786 loss: 0.0603 loss_text: 0.0371 loss_kernel: 0.0233 2022/11/01 23:30:52 - mmengine - INFO - Epoch(train) [247][55/63] lr: 1.0000e-05 eta: 14:10:23 time: 0.7924 data_time: 0.0202 memory: 27786 loss: 0.0532 loss_text: 0.0313 loss_kernel: 0.0219 2022/11/01 23:30:56 - mmengine - INFO - Epoch(train) [247][60/63] lr: 1.0000e-05 eta: 14:09:37 time: 0.7863 data_time: 0.0194 memory: 27786 loss: 0.0504 loss_text: 0.0292 loss_kernel: 0.0212 2022/11/01 23:30:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:32:38 - mmengine - INFO - Epoch(train) [248][5/63] lr: 1.0000e-05 eta: 14:09:37 time: 10.3154 data_time: 9.5688 memory: 27786 loss: 0.0518 loss_text: 0.0319 loss_kernel: 0.0198 2022/11/01 23:32:42 - mmengine - INFO - Epoch(train) [248][10/63] lr: 1.0000e-05 eta: 14:11:02 time: 10.3968 data_time: 9.5875 memory: 27786 loss: 0.0516 loss_text: 0.0309 loss_kernel: 0.0206 2022/11/01 23:32:46 - mmengine - INFO - Epoch(train) [248][15/63] lr: 1.0000e-05 eta: 14:11:02 time: 0.8190 data_time: 0.0289 memory: 27786 loss: 0.0537 loss_text: 0.0324 loss_kernel: 0.0213 2022/11/01 23:32:50 - mmengine - INFO - Epoch(train) [248][20/63] lr: 1.0000e-05 eta: 14:10:16 time: 0.8025 data_time: 0.0234 memory: 27786 loss: 0.0581 loss_text: 0.0359 loss_kernel: 0.0222 2022/11/01 23:32:54 - mmengine - INFO - Epoch(train) [248][25/63] lr: 1.0000e-05 eta: 14:10:16 time: 0.8215 data_time: 0.0274 memory: 27786 loss: 0.0513 loss_text: 0.0309 loss_kernel: 0.0205 2022/11/01 23:32:58 - mmengine - INFO - Epoch(train) [248][30/63] lr: 1.0000e-05 eta: 14:09:30 time: 0.8256 data_time: 0.0264 memory: 27786 loss: 0.0550 loss_text: 0.0333 loss_kernel: 0.0218 2022/11/01 23:33:02 - mmengine - INFO - Epoch(train) [248][35/63] lr: 1.0000e-05 eta: 14:09:30 time: 0.8256 data_time: 0.0365 memory: 27786 loss: 0.0642 loss_text: 0.0392 loss_kernel: 0.0250 2022/11/01 23:33:06 - mmengine - INFO - Epoch(train) [248][40/63] lr: 1.0000e-05 eta: 14:08:44 time: 0.8100 data_time: 0.0249 memory: 27786 loss: 0.0522 loss_text: 0.0314 loss_kernel: 0.0208 2022/11/01 23:33:10 - mmengine - INFO - Epoch(train) [248][45/63] lr: 1.0000e-05 eta: 14:08:44 time: 0.8110 data_time: 0.0215 memory: 27786 loss: 0.0433 loss_text: 0.0257 loss_kernel: 0.0176 2022/11/01 23:33:14 - mmengine - INFO - Epoch(train) [248][50/63] lr: 1.0000e-05 eta: 14:07:59 time: 0.8236 data_time: 0.0327 memory: 27786 loss: 0.0500 loss_text: 0.0300 loss_kernel: 0.0199 2022/11/01 23:33:18 - mmengine - INFO - Epoch(train) [248][55/63] lr: 1.0000e-05 eta: 14:07:59 time: 0.7947 data_time: 0.0241 memory: 27786 loss: 0.0565 loss_text: 0.0342 loss_kernel: 0.0223 2022/11/01 23:33:22 - mmengine - INFO - Epoch(train) [248][60/63] lr: 1.0000e-05 eta: 14:07:12 time: 0.7849 data_time: 0.0160 memory: 27786 loss: 0.0634 loss_text: 0.0394 loss_kernel: 0.0239 2022/11/01 23:33:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:35:04 - mmengine - INFO - Epoch(train) [249][5/63] lr: 1.0000e-05 eta: 14:07:12 time: 10.3192 data_time: 9.5750 memory: 27786 loss: 0.0537 loss_text: 0.0317 loss_kernel: 0.0221 2022/11/01 23:35:08 - mmengine - INFO - Epoch(train) [249][10/63] lr: 1.0000e-05 eta: 14:08:37 time: 10.3729 data_time: 9.5916 memory: 27786 loss: 0.0561 loss_text: 0.0337 loss_kernel: 0.0225 2022/11/01 23:35:12 - mmengine - INFO - Epoch(train) [249][15/63] lr: 1.0000e-05 eta: 14:08:37 time: 0.8128 data_time: 0.0300 memory: 27786 loss: 0.0542 loss_text: 0.0329 loss_kernel: 0.0213 2022/11/01 23:35:16 - mmengine - INFO - Epoch(train) [249][20/63] lr: 1.0000e-05 eta: 14:07:51 time: 0.8254 data_time: 0.0383 memory: 27786 loss: 0.0465 loss_text: 0.0267 loss_kernel: 0.0198 2022/11/01 23:35:21 - mmengine - INFO - Epoch(train) [249][25/63] lr: 1.0000e-05 eta: 14:07:51 time: 0.8413 data_time: 0.0548 memory: 27786 loss: 0.0471 loss_text: 0.0272 loss_kernel: 0.0199 2022/11/01 23:35:25 - mmengine - INFO - Epoch(train) [249][30/63] lr: 1.0000e-05 eta: 14:07:06 time: 0.8775 data_time: 0.0621 memory: 27786 loss: 0.0479 loss_text: 0.0282 loss_kernel: 0.0197 2022/11/01 23:35:29 - mmengine - INFO - Epoch(train) [249][35/63] lr: 1.0000e-05 eta: 14:07:06 time: 0.8806 data_time: 0.0457 memory: 27786 loss: 0.0585 loss_text: 0.0357 loss_kernel: 0.0228 2022/11/01 23:35:34 - mmengine - INFO - Epoch(train) [249][40/63] lr: 1.0000e-05 eta: 14:06:21 time: 0.8426 data_time: 0.0213 memory: 27786 loss: 0.0589 loss_text: 0.0364 loss_kernel: 0.0225 2022/11/01 23:35:38 - mmengine - INFO - Epoch(train) [249][45/63] lr: 1.0000e-05 eta: 14:06:21 time: 0.8166 data_time: 0.0274 memory: 27786 loss: 0.0454 loss_text: 0.0274 loss_kernel: 0.0180 2022/11/01 23:35:41 - mmengine - INFO - Epoch(train) [249][50/63] lr: 1.0000e-05 eta: 14:05:35 time: 0.7828 data_time: 0.0242 memory: 27786 loss: 0.0447 loss_text: 0.0275 loss_kernel: 0.0172 2022/11/01 23:35:45 - mmengine - INFO - Epoch(train) [249][55/63] lr: 1.0000e-05 eta: 14:05:35 time: 0.7756 data_time: 0.0167 memory: 27786 loss: 0.0495 loss_text: 0.0294 loss_kernel: 0.0201 2022/11/01 23:35:49 - mmengine - INFO - Epoch(train) [249][60/63] lr: 1.0000e-05 eta: 14:04:49 time: 0.7807 data_time: 0.0149 memory: 27786 loss: 0.0542 loss_text: 0.0321 loss_kernel: 0.0222 2022/11/01 23:35:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:37:31 - mmengine - INFO - Epoch(train) [250][5/63] lr: 1.0000e-05 eta: 14:04:49 time: 10.3655 data_time: 9.6102 memory: 27786 loss: 0.0469 loss_text: 0.0275 loss_kernel: 0.0194 2022/11/01 23:37:36 - mmengine - INFO - Epoch(train) [250][10/63] lr: 1.0000e-05 eta: 14:06:13 time: 10.4344 data_time: 9.6290 memory: 27786 loss: 0.0561 loss_text: 0.0335 loss_kernel: 0.0225 2022/11/01 23:37:40 - mmengine - INFO - Epoch(train) [250][15/63] lr: 1.0000e-05 eta: 14:06:13 time: 0.8275 data_time: 0.0407 memory: 27786 loss: 0.0574 loss_text: 0.0355 loss_kernel: 0.0219 2022/11/01 23:37:44 - mmengine - INFO - Epoch(train) [250][20/63] lr: 1.0000e-05 eta: 14:05:27 time: 0.8194 data_time: 0.0340 memory: 27786 loss: 0.0564 loss_text: 0.0346 loss_kernel: 0.0218 2022/11/01 23:37:48 - mmengine - INFO - Epoch(train) [250][25/63] lr: 1.0000e-05 eta: 14:05:27 time: 0.8047 data_time: 0.0231 memory: 27786 loss: 0.0647 loss_text: 0.0403 loss_kernel: 0.0243 2022/11/01 23:37:52 - mmengine - INFO - Epoch(train) [250][30/63] lr: 1.0000e-05 eta: 14:04:42 time: 0.8011 data_time: 0.0249 memory: 27786 loss: 0.0623 loss_text: 0.0393 loss_kernel: 0.0230 2022/11/01 23:37:56 - mmengine - INFO - Epoch(train) [250][35/63] lr: 1.0000e-05 eta: 14:04:42 time: 0.8184 data_time: 0.0375 memory: 27786 loss: 0.0552 loss_text: 0.0342 loss_kernel: 0.0210 2022/11/01 23:38:00 - mmengine - INFO - Epoch(train) [250][40/63] lr: 1.0000e-05 eta: 14:03:56 time: 0.8096 data_time: 0.0233 memory: 27786 loss: 0.0522 loss_text: 0.0318 loss_kernel: 0.0204 2022/11/01 23:38:04 - mmengine - INFO - Epoch(train) [250][45/63] lr: 1.0000e-05 eta: 14:03:56 time: 0.8121 data_time: 0.0235 memory: 27786 loss: 0.0483 loss_text: 0.0292 loss_kernel: 0.0191 2022/11/01 23:38:08 - mmengine - INFO - Epoch(train) [250][50/63] lr: 1.0000e-05 eta: 14:03:11 time: 0.8216 data_time: 0.0222 memory: 27786 loss: 0.0478 loss_text: 0.0288 loss_kernel: 0.0190 2022/11/01 23:38:12 - mmengine - INFO - Epoch(train) [250][55/63] lr: 1.0000e-05 eta: 14:03:11 time: 0.8151 data_time: 0.0194 memory: 27786 loss: 0.0493 loss_text: 0.0294 loss_kernel: 0.0200 2022/11/01 23:38:16 - mmengine - INFO - Epoch(train) [250][60/63] lr: 1.0000e-05 eta: 14:02:25 time: 0.8015 data_time: 0.0280 memory: 27786 loss: 0.0545 loss_text: 0.0335 loss_kernel: 0.0210 2022/11/01 23:38:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:39:58 - mmengine - INFO - Epoch(train) [251][5/63] lr: 1.0000e-05 eta: 14:02:25 time: 10.3659 data_time: 9.6193 memory: 27786 loss: 0.0513 loss_text: 0.0311 loss_kernel: 0.0202 2022/11/01 23:40:02 - mmengine - INFO - Epoch(train) [251][10/63] lr: 1.0000e-05 eta: 14:03:48 time: 10.4212 data_time: 9.6333 memory: 27786 loss: 0.0452 loss_text: 0.0268 loss_kernel: 0.0183 2022/11/01 23:40:07 - mmengine - INFO - Epoch(train) [251][15/63] lr: 1.0000e-05 eta: 14:03:48 time: 0.8108 data_time: 0.0268 memory: 27786 loss: 0.0529 loss_text: 0.0319 loss_kernel: 0.0210 2022/11/01 23:40:11 - mmengine - INFO - Epoch(train) [251][20/63] lr: 1.0000e-05 eta: 14:03:03 time: 0.8157 data_time: 0.0202 memory: 27786 loss: 0.0587 loss_text: 0.0360 loss_kernel: 0.0227 2022/11/01 23:40:15 - mmengine - INFO - Epoch(train) [251][25/63] lr: 1.0000e-05 eta: 14:03:03 time: 0.8264 data_time: 0.0348 memory: 27786 loss: 0.0539 loss_text: 0.0329 loss_kernel: 0.0211 2022/11/01 23:40:19 - mmengine - INFO - Epoch(train) [251][30/63] lr: 1.0000e-05 eta: 14:02:17 time: 0.8144 data_time: 0.0258 memory: 27786 loss: 0.0499 loss_text: 0.0302 loss_kernel: 0.0197 2022/11/01 23:40:23 - mmengine - INFO - Epoch(train) [251][35/63] lr: 1.0000e-05 eta: 14:02:17 time: 0.7964 data_time: 0.0211 memory: 27786 loss: 0.0569 loss_text: 0.0355 loss_kernel: 0.0213 2022/11/01 23:40:27 - mmengine - INFO - Epoch(train) [251][40/63] lr: 1.0000e-05 eta: 14:01:32 time: 0.8297 data_time: 0.0239 memory: 27786 loss: 0.0588 loss_text: 0.0359 loss_kernel: 0.0229 2022/11/01 23:40:31 - mmengine - INFO - Epoch(train) [251][45/63] lr: 1.0000e-05 eta: 14:01:32 time: 0.8546 data_time: 0.0240 memory: 27786 loss: 0.0653 loss_text: 0.0396 loss_kernel: 0.0257 2022/11/01 23:40:36 - mmengine - INFO - Epoch(train) [251][50/63] lr: 1.0000e-05 eta: 14:00:47 time: 0.8516 data_time: 0.0315 memory: 27786 loss: 0.0737 loss_text: 0.0467 loss_kernel: 0.0271 2022/11/01 23:40:39 - mmengine - INFO - Epoch(train) [251][55/63] lr: 1.0000e-05 eta: 14:00:47 time: 0.8180 data_time: 0.0237 memory: 27786 loss: 0.0573 loss_text: 0.0350 loss_kernel: 0.0222 2022/11/01 23:40:43 - mmengine - INFO - Epoch(train) [251][60/63] lr: 1.0000e-05 eta: 14:00:02 time: 0.7867 data_time: 0.0171 memory: 27786 loss: 0.0465 loss_text: 0.0267 loss_kernel: 0.0197 2022/11/01 23:40:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:42:25 - mmengine - INFO - Epoch(train) [252][5/63] lr: 1.0000e-05 eta: 14:00:02 time: 10.2817 data_time: 9.5398 memory: 27786 loss: 0.0483 loss_text: 0.0283 loss_kernel: 0.0200 2022/11/01 23:42:29 - mmengine - INFO - Epoch(train) [252][10/63] lr: 1.0000e-05 eta: 14:01:23 time: 10.3497 data_time: 9.5619 memory: 27786 loss: 0.0472 loss_text: 0.0274 loss_kernel: 0.0198 2022/11/01 23:42:33 - mmengine - INFO - Epoch(train) [252][15/63] lr: 1.0000e-05 eta: 14:01:23 time: 0.8162 data_time: 0.0323 memory: 27786 loss: 0.0491 loss_text: 0.0285 loss_kernel: 0.0206 2022/11/01 23:42:37 - mmengine - INFO - Epoch(train) [252][20/63] lr: 1.0000e-05 eta: 14:00:38 time: 0.8036 data_time: 0.0217 memory: 27786 loss: 0.0593 loss_text: 0.0351 loss_kernel: 0.0241 2022/11/01 23:42:41 - mmengine - INFO - Epoch(train) [252][25/63] lr: 1.0000e-05 eta: 14:00:38 time: 0.8189 data_time: 0.0270 memory: 27786 loss: 0.0584 loss_text: 0.0348 loss_kernel: 0.0236 2022/11/01 23:42:45 - mmengine - INFO - Epoch(train) [252][30/63] lr: 1.0000e-05 eta: 13:59:53 time: 0.8270 data_time: 0.0220 memory: 27786 loss: 0.0516 loss_text: 0.0312 loss_kernel: 0.0204 2022/11/01 23:42:49 - mmengine - INFO - Epoch(train) [252][35/63] lr: 1.0000e-05 eta: 13:59:53 time: 0.8167 data_time: 0.0251 memory: 27786 loss: 0.0636 loss_text: 0.0392 loss_kernel: 0.0244 2022/11/01 23:42:54 - mmengine - INFO - Epoch(train) [252][40/63] lr: 1.0000e-05 eta: 13:59:08 time: 0.8230 data_time: 0.0241 memory: 27786 loss: 0.0663 loss_text: 0.0412 loss_kernel: 0.0250 2022/11/01 23:42:58 - mmengine - INFO - Epoch(train) [252][45/63] lr: 1.0000e-05 eta: 13:59:08 time: 0.8229 data_time: 0.0202 memory: 27786 loss: 0.0559 loss_text: 0.0341 loss_kernel: 0.0218 2022/11/01 23:43:02 - mmengine - INFO - Epoch(train) [252][50/63] lr: 1.0000e-05 eta: 13:58:22 time: 0.8138 data_time: 0.0258 memory: 27786 loss: 0.0513 loss_text: 0.0310 loss_kernel: 0.0202 2022/11/01 23:43:06 - mmengine - INFO - Epoch(train) [252][55/63] lr: 1.0000e-05 eta: 13:58:22 time: 0.8001 data_time: 0.0232 memory: 27786 loss: 0.0573 loss_text: 0.0354 loss_kernel: 0.0219 2022/11/01 23:43:10 - mmengine - INFO - Epoch(train) [252][60/63] lr: 1.0000e-05 eta: 13:57:37 time: 0.7877 data_time: 0.0149 memory: 27786 loss: 0.0700 loss_text: 0.0442 loss_kernel: 0.0258 2022/11/01 23:43:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:44:53 - mmengine - INFO - Epoch(train) [253][5/63] lr: 1.0000e-05 eta: 13:57:37 time: 10.4539 data_time: 9.6749 memory: 27786 loss: 0.0592 loss_text: 0.0366 loss_kernel: 0.0226 2022/11/01 23:44:57 - mmengine - INFO - Epoch(train) [253][10/63] lr: 1.0000e-05 eta: 13:59:00 time: 10.5261 data_time: 9.6931 memory: 27786 loss: 0.0461 loss_text: 0.0274 loss_kernel: 0.0187 2022/11/01 23:45:01 - mmengine - INFO - Epoch(train) [253][15/63] lr: 1.0000e-05 eta: 13:59:00 time: 0.8409 data_time: 0.0291 memory: 27786 loss: 0.0463 loss_text: 0.0277 loss_kernel: 0.0186 2022/11/01 23:45:05 - mmengine - INFO - Epoch(train) [253][20/63] lr: 1.0000e-05 eta: 13:58:15 time: 0.8148 data_time: 0.0219 memory: 27786 loss: 0.0462 loss_text: 0.0271 loss_kernel: 0.0191 2022/11/01 23:45:09 - mmengine - INFO - Epoch(train) [253][25/63] lr: 1.0000e-05 eta: 13:58:15 time: 0.8164 data_time: 0.0275 memory: 27786 loss: 0.0459 loss_text: 0.0267 loss_kernel: 0.0192 2022/11/01 23:45:13 - mmengine - INFO - Epoch(train) [253][30/63] lr: 1.0000e-05 eta: 13:57:30 time: 0.8049 data_time: 0.0199 memory: 27786 loss: 0.0550 loss_text: 0.0338 loss_kernel: 0.0213 2022/11/01 23:45:17 - mmengine - INFO - Epoch(train) [253][35/63] lr: 1.0000e-05 eta: 13:57:30 time: 0.7977 data_time: 0.0265 memory: 27786 loss: 0.0542 loss_text: 0.0334 loss_kernel: 0.0208 2022/11/01 23:45:21 - mmengine - INFO - Epoch(train) [253][40/63] lr: 1.0000e-05 eta: 13:56:44 time: 0.7995 data_time: 0.0220 memory: 27786 loss: 0.0503 loss_text: 0.0306 loss_kernel: 0.0198 2022/11/01 23:45:25 - mmengine - INFO - Epoch(train) [253][45/63] lr: 1.0000e-05 eta: 13:56:44 time: 0.8063 data_time: 0.0213 memory: 27786 loss: 0.0510 loss_text: 0.0309 loss_kernel: 0.0201 2022/11/01 23:45:29 - mmengine - INFO - Epoch(train) [253][50/63] lr: 1.0000e-05 eta: 13:55:59 time: 0.8084 data_time: 0.0319 memory: 27786 loss: 0.0598 loss_text: 0.0370 loss_kernel: 0.0228 2022/11/01 23:45:33 - mmengine - INFO - Epoch(train) [253][55/63] lr: 1.0000e-05 eta: 13:55:59 time: 0.8076 data_time: 0.0200 memory: 27786 loss: 0.0602 loss_text: 0.0371 loss_kernel: 0.0231 2022/11/01 23:45:38 - mmengine - INFO - Epoch(train) [253][60/63] lr: 1.0000e-05 eta: 13:55:15 time: 0.8381 data_time: 0.0140 memory: 27786 loss: 0.0575 loss_text: 0.0347 loss_kernel: 0.0228 2022/11/01 23:45:40 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:47:20 - mmengine - INFO - Epoch(train) [254][5/63] lr: 1.0000e-05 eta: 13:55:15 time: 10.3800 data_time: 9.5509 memory: 27786 loss: 0.0576 loss_text: 0.0359 loss_kernel: 0.0217 2022/11/01 23:47:24 - mmengine - INFO - Epoch(train) [254][10/63] lr: 1.0000e-05 eta: 13:56:36 time: 10.4279 data_time: 9.5692 memory: 27786 loss: 0.0459 loss_text: 0.0272 loss_kernel: 0.0186 2022/11/01 23:47:28 - mmengine - INFO - Epoch(train) [254][15/63] lr: 1.0000e-05 eta: 13:56:36 time: 0.8217 data_time: 0.0291 memory: 27786 loss: 0.0478 loss_text: 0.0275 loss_kernel: 0.0203 2022/11/01 23:47:32 - mmengine - INFO - Epoch(train) [254][20/63] lr: 1.0000e-05 eta: 13:55:51 time: 0.8015 data_time: 0.0216 memory: 27786 loss: 0.0465 loss_text: 0.0268 loss_kernel: 0.0197 2022/11/01 23:47:36 - mmengine - INFO - Epoch(train) [254][25/63] lr: 1.0000e-05 eta: 13:55:51 time: 0.7981 data_time: 0.0222 memory: 27786 loss: 0.0494 loss_text: 0.0295 loss_kernel: 0.0198 2022/11/01 23:47:40 - mmengine - INFO - Epoch(train) [254][30/63] lr: 1.0000e-05 eta: 13:55:05 time: 0.8081 data_time: 0.0206 memory: 27786 loss: 0.0608 loss_text: 0.0378 loss_kernel: 0.0230 2022/11/01 23:47:44 - mmengine - INFO - Epoch(train) [254][35/63] lr: 1.0000e-05 eta: 13:55:05 time: 0.8203 data_time: 0.0307 memory: 27786 loss: 0.0601 loss_text: 0.0371 loss_kernel: 0.0230 2022/11/01 23:47:48 - mmengine - INFO - Epoch(train) [254][40/63] lr: 1.0000e-05 eta: 13:54:21 time: 0.8111 data_time: 0.0231 memory: 27786 loss: 0.0551 loss_text: 0.0334 loss_kernel: 0.0217 2022/11/01 23:47:52 - mmengine - INFO - Epoch(train) [254][45/63] lr: 1.0000e-05 eta: 13:54:21 time: 0.8014 data_time: 0.0200 memory: 27786 loss: 0.0499 loss_text: 0.0296 loss_kernel: 0.0202 2022/11/01 23:47:56 - mmengine - INFO - Epoch(train) [254][50/63] lr: 1.0000e-05 eta: 13:53:35 time: 0.7965 data_time: 0.0286 memory: 27786 loss: 0.0447 loss_text: 0.0261 loss_kernel: 0.0187 2022/11/01 23:48:00 - mmengine - INFO - Epoch(train) [254][55/63] lr: 1.0000e-05 eta: 13:53:35 time: 0.7875 data_time: 0.0211 memory: 27786 loss: 0.0507 loss_text: 0.0310 loss_kernel: 0.0197 2022/11/01 23:48:04 - mmengine - INFO - Epoch(train) [254][60/63] lr: 1.0000e-05 eta: 13:52:50 time: 0.7781 data_time: 0.0181 memory: 27786 loss: 0.0693 loss_text: 0.0440 loss_kernel: 0.0254 2022/11/01 23:48:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:48:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:49:46 - mmengine - INFO - Epoch(train) [255][5/63] lr: 1.0000e-05 eta: 13:52:50 time: 10.3560 data_time: 9.6141 memory: 27786 loss: 0.0580 loss_text: 0.0352 loss_kernel: 0.0229 2022/11/01 23:49:50 - mmengine - INFO - Epoch(train) [255][10/63] lr: 1.0000e-05 eta: 13:54:10 time: 10.4169 data_time: 9.6369 memory: 27786 loss: 0.0620 loss_text: 0.0387 loss_kernel: 0.0233 2022/11/01 23:49:54 - mmengine - INFO - Epoch(train) [255][15/63] lr: 1.0000e-05 eta: 13:54:10 time: 0.8165 data_time: 0.0366 memory: 27786 loss: 0.0521 loss_text: 0.0315 loss_kernel: 0.0206 2022/11/01 23:49:58 - mmengine - INFO - Epoch(train) [255][20/63] lr: 1.0000e-05 eta: 13:53:25 time: 0.8028 data_time: 0.0191 memory: 27786 loss: 0.0463 loss_text: 0.0271 loss_kernel: 0.0192 2022/11/01 23:50:02 - mmengine - INFO - Epoch(train) [255][25/63] lr: 1.0000e-05 eta: 13:53:25 time: 0.8110 data_time: 0.0249 memory: 27786 loss: 0.0536 loss_text: 0.0325 loss_kernel: 0.0211 2022/11/01 23:50:06 - mmengine - INFO - Epoch(train) [255][30/63] lr: 1.0000e-05 eta: 13:52:40 time: 0.8268 data_time: 0.0357 memory: 27786 loss: 0.0637 loss_text: 0.0388 loss_kernel: 0.0249 2022/11/01 23:50:10 - mmengine - INFO - Epoch(train) [255][35/63] lr: 1.0000e-05 eta: 13:52:40 time: 0.8102 data_time: 0.0294 memory: 27786 loss: 0.0626 loss_text: 0.0379 loss_kernel: 0.0247 2022/11/01 23:50:14 - mmengine - INFO - Epoch(train) [255][40/63] lr: 1.0000e-05 eta: 13:51:56 time: 0.8024 data_time: 0.0213 memory: 27786 loss: 0.0670 loss_text: 0.0419 loss_kernel: 0.0251 2022/11/01 23:50:18 - mmengine - INFO - Epoch(train) [255][45/63] lr: 1.0000e-05 eta: 13:51:56 time: 0.8092 data_time: 0.0218 memory: 27786 loss: 0.0599 loss_text: 0.0371 loss_kernel: 0.0228 2022/11/01 23:50:23 - mmengine - INFO - Epoch(train) [255][50/63] lr: 1.0000e-05 eta: 13:51:11 time: 0.8085 data_time: 0.0285 memory: 27786 loss: 0.0471 loss_text: 0.0285 loss_kernel: 0.0186 2022/11/01 23:50:27 - mmengine - INFO - Epoch(train) [255][55/63] lr: 1.0000e-05 eta: 13:51:11 time: 0.8046 data_time: 0.0300 memory: 27786 loss: 0.0467 loss_text: 0.0272 loss_kernel: 0.0194 2022/11/01 23:50:30 - mmengine - INFO - Epoch(train) [255][60/63] lr: 1.0000e-05 eta: 13:50:26 time: 0.7817 data_time: 0.0187 memory: 27786 loss: 0.0452 loss_text: 0.0261 loss_kernel: 0.0192 2022/11/01 23:50:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:52:13 - mmengine - INFO - Epoch(train) [256][5/63] lr: 1.0000e-05 eta: 13:50:26 time: 10.3919 data_time: 9.6528 memory: 27786 loss: 0.0754 loss_text: 0.0472 loss_kernel: 0.0281 2022/11/01 23:52:17 - mmengine - INFO - Epoch(train) [256][10/63] lr: 1.0000e-05 eta: 13:51:45 time: 10.4248 data_time: 9.6669 memory: 27786 loss: 0.0545 loss_text: 0.0327 loss_kernel: 0.0217 2022/11/01 23:52:21 - mmengine - INFO - Epoch(train) [256][15/63] lr: 1.0000e-05 eta: 13:51:45 time: 0.7912 data_time: 0.0307 memory: 27786 loss: 0.0488 loss_text: 0.0295 loss_kernel: 0.0192 2022/11/01 23:52:25 - mmengine - INFO - Epoch(train) [256][20/63] lr: 1.0000e-05 eta: 13:51:00 time: 0.8004 data_time: 0.0312 memory: 27786 loss: 0.0546 loss_text: 0.0334 loss_kernel: 0.0213 2022/11/01 23:52:29 - mmengine - INFO - Epoch(train) [256][25/63] lr: 1.0000e-05 eta: 13:51:00 time: 0.7859 data_time: 0.0261 memory: 27786 loss: 0.0623 loss_text: 0.0384 loss_kernel: 0.0239 2022/11/01 23:52:33 - mmengine - INFO - Epoch(train) [256][30/63] lr: 1.0000e-05 eta: 13:50:15 time: 0.7794 data_time: 0.0192 memory: 27786 loss: 0.0571 loss_text: 0.0348 loss_kernel: 0.0223 2022/11/01 23:52:37 - mmengine - INFO - Epoch(train) [256][35/63] lr: 1.0000e-05 eta: 13:50:15 time: 0.7972 data_time: 0.0244 memory: 27786 loss: 0.0536 loss_text: 0.0322 loss_kernel: 0.0214 2022/11/01 23:52:41 - mmengine - INFO - Epoch(train) [256][40/63] lr: 1.0000e-05 eta: 13:49:30 time: 0.8012 data_time: 0.0222 memory: 27786 loss: 0.0571 loss_text: 0.0350 loss_kernel: 0.0221 2022/11/01 23:52:45 - mmengine - INFO - Epoch(train) [256][45/63] lr: 1.0000e-05 eta: 13:49:30 time: 0.8006 data_time: 0.0293 memory: 27786 loss: 0.0608 loss_text: 0.0377 loss_kernel: 0.0230 2022/11/01 23:52:49 - mmengine - INFO - Epoch(train) [256][50/63] lr: 1.0000e-05 eta: 13:48:45 time: 0.7891 data_time: 0.0285 memory: 27786 loss: 0.0608 loss_text: 0.0380 loss_kernel: 0.0228 2022/11/01 23:52:53 - mmengine - INFO - Epoch(train) [256][55/63] lr: 1.0000e-05 eta: 13:48:45 time: 0.7908 data_time: 0.0196 memory: 27786 loss: 0.0581 loss_text: 0.0362 loss_kernel: 0.0219 2022/11/01 23:52:56 - mmengine - INFO - Epoch(train) [256][60/63] lr: 1.0000e-05 eta: 13:48:00 time: 0.7910 data_time: 0.0191 memory: 27786 loss: 0.0626 loss_text: 0.0394 loss_kernel: 0.0233 2022/11/01 23:52:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:54:39 - mmengine - INFO - Epoch(train) [257][5/63] lr: 1.0000e-05 eta: 13:48:00 time: 10.3593 data_time: 9.6169 memory: 27786 loss: 0.0632 loss_text: 0.0392 loss_kernel: 0.0239 2022/11/01 23:54:43 - mmengine - INFO - Epoch(train) [257][10/63] lr: 1.0000e-05 eta: 13:49:19 time: 10.4331 data_time: 9.6361 memory: 27786 loss: 0.0477 loss_text: 0.0284 loss_kernel: 0.0194 2022/11/01 23:54:47 - mmengine - INFO - Epoch(train) [257][15/63] lr: 1.0000e-05 eta: 13:49:19 time: 0.8205 data_time: 0.0285 memory: 27786 loss: 0.0479 loss_text: 0.0288 loss_kernel: 0.0191 2022/11/01 23:54:51 - mmengine - INFO - Epoch(train) [257][20/63] lr: 1.0000e-05 eta: 13:48:35 time: 0.8078 data_time: 0.0215 memory: 27786 loss: 0.0463 loss_text: 0.0278 loss_kernel: 0.0184 2022/11/01 23:54:55 - mmengine - INFO - Epoch(train) [257][25/63] lr: 1.0000e-05 eta: 13:48:35 time: 0.8112 data_time: 0.0335 memory: 27786 loss: 0.0449 loss_text: 0.0261 loss_kernel: 0.0188 2022/11/01 23:54:59 - mmengine - INFO - Epoch(train) [257][30/63] lr: 1.0000e-05 eta: 13:47:50 time: 0.8053 data_time: 0.0233 memory: 27786 loss: 0.0474 loss_text: 0.0277 loss_kernel: 0.0197 2022/11/01 23:55:03 - mmengine - INFO - Epoch(train) [257][35/63] lr: 1.0000e-05 eta: 13:47:50 time: 0.7951 data_time: 0.0251 memory: 27786 loss: 0.0488 loss_text: 0.0277 loss_kernel: 0.0210 2022/11/01 23:55:07 - mmengine - INFO - Epoch(train) [257][40/63] lr: 1.0000e-05 eta: 13:47:05 time: 0.7890 data_time: 0.0229 memory: 27786 loss: 0.0492 loss_text: 0.0281 loss_kernel: 0.0211 2022/11/01 23:55:11 - mmengine - INFO - Epoch(train) [257][45/63] lr: 1.0000e-05 eta: 13:47:05 time: 0.7910 data_time: 0.0179 memory: 27786 loss: 0.0546 loss_text: 0.0334 loss_kernel: 0.0212 2022/11/01 23:55:15 - mmengine - INFO - Epoch(train) [257][50/63] lr: 1.0000e-05 eta: 13:46:20 time: 0.7822 data_time: 0.0277 memory: 27786 loss: 0.0537 loss_text: 0.0334 loss_kernel: 0.0203 2022/11/01 23:55:18 - mmengine - INFO - Epoch(train) [257][55/63] lr: 1.0000e-05 eta: 13:46:20 time: 0.7736 data_time: 0.0205 memory: 27786 loss: 0.0536 loss_text: 0.0326 loss_kernel: 0.0209 2022/11/01 23:55:22 - mmengine - INFO - Epoch(train) [257][60/63] lr: 1.0000e-05 eta: 13:45:35 time: 0.7757 data_time: 0.0146 memory: 27786 loss: 0.0511 loss_text: 0.0302 loss_kernel: 0.0209 2022/11/01 23:55:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:57:04 - mmengine - INFO - Epoch(train) [258][5/63] lr: 1.0000e-05 eta: 13:45:35 time: 10.2867 data_time: 9.5428 memory: 27786 loss: 0.0586 loss_text: 0.0363 loss_kernel: 0.0224 2022/11/01 23:57:08 - mmengine - INFO - Epoch(train) [258][10/63] lr: 1.0000e-05 eta: 13:46:52 time: 10.3439 data_time: 9.5586 memory: 27786 loss: 0.0510 loss_text: 0.0307 loss_kernel: 0.0203 2022/11/01 23:57:12 - mmengine - INFO - Epoch(train) [258][15/63] lr: 1.0000e-05 eta: 13:46:52 time: 0.8470 data_time: 0.0371 memory: 27786 loss: 0.0463 loss_text: 0.0273 loss_kernel: 0.0190 2022/11/01 23:57:17 - mmengine - INFO - Epoch(train) [258][20/63] lr: 1.0000e-05 eta: 13:46:09 time: 0.8841 data_time: 0.0301 memory: 27786 loss: 0.0481 loss_text: 0.0287 loss_kernel: 0.0195 2022/11/01 23:57:21 - mmengine - INFO - Epoch(train) [258][25/63] lr: 1.0000e-05 eta: 13:46:09 time: 0.8584 data_time: 0.0204 memory: 27786 loss: 0.0517 loss_text: 0.0315 loss_kernel: 0.0202 2022/11/01 23:57:25 - mmengine - INFO - Epoch(train) [258][30/63] lr: 1.0000e-05 eta: 13:45:24 time: 0.7970 data_time: 0.0205 memory: 27786 loss: 0.0459 loss_text: 0.0279 loss_kernel: 0.0180 2022/11/01 23:57:29 - mmengine - INFO - Epoch(train) [258][35/63] lr: 1.0000e-05 eta: 13:45:24 time: 0.7817 data_time: 0.0229 memory: 27786 loss: 0.0481 loss_text: 0.0282 loss_kernel: 0.0199 2022/11/01 23:57:33 - mmengine - INFO - Epoch(train) [258][40/63] lr: 1.0000e-05 eta: 13:44:39 time: 0.7897 data_time: 0.0244 memory: 27786 loss: 0.0530 loss_text: 0.0311 loss_kernel: 0.0219 2022/11/01 23:57:37 - mmengine - INFO - Epoch(train) [258][45/63] lr: 1.0000e-05 eta: 13:44:39 time: 0.8009 data_time: 0.0406 memory: 27786 loss: 0.0489 loss_text: 0.0290 loss_kernel: 0.0199 2022/11/01 23:57:41 - mmengine - INFO - Epoch(train) [258][50/63] lr: 1.0000e-05 eta: 13:43:55 time: 0.7938 data_time: 0.0341 memory: 27786 loss: 0.0507 loss_text: 0.0301 loss_kernel: 0.0206 2022/11/01 23:57:45 - mmengine - INFO - Epoch(train) [258][55/63] lr: 1.0000e-05 eta: 13:43:55 time: 0.7790 data_time: 0.0198 memory: 27786 loss: 0.0502 loss_text: 0.0307 loss_kernel: 0.0195 2022/11/01 23:57:49 - mmengine - INFO - Epoch(train) [258][60/63] lr: 1.0000e-05 eta: 13:43:10 time: 0.7962 data_time: 0.0202 memory: 27786 loss: 0.0538 loss_text: 0.0336 loss_kernel: 0.0202 2022/11/01 23:57:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/01 23:59:30 - mmengine - INFO - Epoch(train) [259][5/63] lr: 1.0000e-05 eta: 13:43:10 time: 10.3467 data_time: 9.6027 memory: 27786 loss: 0.0522 loss_text: 0.0309 loss_kernel: 0.0213 2022/11/01 23:59:35 - mmengine - INFO - Epoch(train) [259][10/63] lr: 1.0000e-05 eta: 13:44:27 time: 10.4085 data_time: 9.6196 memory: 27786 loss: 0.0492 loss_text: 0.0285 loss_kernel: 0.0207 2022/11/01 23:59:39 - mmengine - INFO - Epoch(train) [259][15/63] lr: 1.0000e-05 eta: 13:44:27 time: 0.8038 data_time: 0.0300 memory: 27786 loss: 0.0521 loss_text: 0.0315 loss_kernel: 0.0207 2022/11/01 23:59:43 - mmengine - INFO - Epoch(train) [259][20/63] lr: 1.0000e-05 eta: 13:43:43 time: 0.7865 data_time: 0.0215 memory: 27786 loss: 0.0495 loss_text: 0.0301 loss_kernel: 0.0193 2022/11/01 23:59:47 - mmengine - INFO - Epoch(train) [259][25/63] lr: 1.0000e-05 eta: 13:43:43 time: 0.8009 data_time: 0.0340 memory: 27786 loss: 0.0433 loss_text: 0.0254 loss_kernel: 0.0180 2022/11/01 23:59:50 - mmengine - INFO - Epoch(train) [259][30/63] lr: 1.0000e-05 eta: 13:42:58 time: 0.7836 data_time: 0.0225 memory: 27786 loss: 0.0524 loss_text: 0.0315 loss_kernel: 0.0209 2022/11/01 23:59:54 - mmengine - INFO - Epoch(train) [259][35/63] lr: 1.0000e-05 eta: 13:42:58 time: 0.7879 data_time: 0.0212 memory: 27786 loss: 0.0586 loss_text: 0.0352 loss_kernel: 0.0234 2022/11/01 23:59:58 - mmengine - INFO - Epoch(train) [259][40/63] lr: 1.0000e-05 eta: 13:42:14 time: 0.8074 data_time: 0.0253 memory: 27786 loss: 0.0629 loss_text: 0.0383 loss_kernel: 0.0246 2022/11/02 00:00:02 - mmengine - INFO - Epoch(train) [259][45/63] lr: 1.0000e-05 eta: 13:42:14 time: 0.8058 data_time: 0.0222 memory: 27786 loss: 0.0642 loss_text: 0.0399 loss_kernel: 0.0244 2022/11/02 00:00:07 - mmengine - INFO - Epoch(train) [259][50/63] lr: 1.0000e-05 eta: 13:41:30 time: 0.8188 data_time: 0.0289 memory: 27786 loss: 0.0555 loss_text: 0.0350 loss_kernel: 0.0205 2022/11/02 00:00:11 - mmengine - INFO - Epoch(train) [259][55/63] lr: 1.0000e-05 eta: 13:41:30 time: 0.8060 data_time: 0.0247 memory: 27786 loss: 0.0524 loss_text: 0.0327 loss_kernel: 0.0197 2022/11/02 00:00:15 - mmengine - INFO - Epoch(train) [259][60/63] lr: 1.0000e-05 eta: 13:40:45 time: 0.7917 data_time: 0.0153 memory: 27786 loss: 0.0574 loss_text: 0.0353 loss_kernel: 0.0220 2022/11/02 00:00:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:01:56 - mmengine - INFO - Epoch(train) [260][5/63] lr: 1.0000e-05 eta: 13:40:45 time: 10.2972 data_time: 9.5700 memory: 27786 loss: 0.0471 loss_text: 0.0280 loss_kernel: 0.0191 2022/11/02 00:02:00 - mmengine - INFO - Epoch(train) [260][10/63] lr: 1.0000e-05 eta: 13:42:01 time: 10.3708 data_time: 9.5863 memory: 27786 loss: 0.0544 loss_text: 0.0332 loss_kernel: 0.0212 2022/11/02 00:02:04 - mmengine - INFO - Epoch(train) [260][15/63] lr: 1.0000e-05 eta: 13:42:01 time: 0.8144 data_time: 0.0276 memory: 27786 loss: 0.0503 loss_text: 0.0300 loss_kernel: 0.0203 2022/11/02 00:02:08 - mmengine - INFO - Epoch(train) [260][20/63] lr: 1.0000e-05 eta: 13:41:17 time: 0.7987 data_time: 0.0248 memory: 27786 loss: 0.0430 loss_text: 0.0251 loss_kernel: 0.0180 2022/11/02 00:02:12 - mmengine - INFO - Epoch(train) [260][25/63] lr: 1.0000e-05 eta: 13:41:17 time: 0.8252 data_time: 0.0296 memory: 27786 loss: 0.0438 loss_text: 0.0256 loss_kernel: 0.0182 2022/11/02 00:02:17 - mmengine - INFO - Epoch(train) [260][30/63] lr: 1.0000e-05 eta: 13:40:33 time: 0.8538 data_time: 0.0216 memory: 27786 loss: 0.0473 loss_text: 0.0276 loss_kernel: 0.0197 2022/11/02 00:02:21 - mmengine - INFO - Epoch(train) [260][35/63] lr: 1.0000e-05 eta: 13:40:33 time: 0.8579 data_time: 0.0274 memory: 27786 loss: 0.0648 loss_text: 0.0399 loss_kernel: 0.0249 2022/11/02 00:02:25 - mmengine - INFO - Epoch(train) [260][40/63] lr: 1.0000e-05 eta: 13:39:49 time: 0.8127 data_time: 0.0219 memory: 27786 loss: 0.0748 loss_text: 0.0474 loss_kernel: 0.0274 2022/11/02 00:02:29 - mmengine - INFO - Epoch(train) [260][45/63] lr: 1.0000e-05 eta: 13:39:49 time: 0.7956 data_time: 0.0246 memory: 27786 loss: 0.0583 loss_text: 0.0353 loss_kernel: 0.0230 2022/11/02 00:02:33 - mmengine - INFO - Epoch(train) [260][50/63] lr: 1.0000e-05 eta: 13:39:05 time: 0.7970 data_time: 0.0328 memory: 27786 loss: 0.0454 loss_text: 0.0265 loss_kernel: 0.0189 2022/11/02 00:02:37 - mmengine - INFO - Epoch(train) [260][55/63] lr: 1.0000e-05 eta: 13:39:05 time: 0.7844 data_time: 0.0226 memory: 27786 loss: 0.0520 loss_text: 0.0306 loss_kernel: 0.0214 2022/11/02 00:02:41 - mmengine - INFO - Epoch(train) [260][60/63] lr: 1.0000e-05 eta: 13:38:21 time: 0.7839 data_time: 0.0185 memory: 27786 loss: 0.0589 loss_text: 0.0355 loss_kernel: 0.0234 2022/11/02 00:02:43 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:02:43 - mmengine - INFO - Saving checkpoint at 260 epochs 2022/11/02 00:04:28 - mmengine - INFO - Epoch(train) [261][5/63] lr: 1.0000e-05 eta: 13:38:21 time: 10.4208 data_time: 9.6642 memory: 27786 loss: 0.0506 loss_text: 0.0310 loss_kernel: 0.0195 2022/11/02 00:04:33 - mmengine - INFO - Epoch(train) [261][10/63] lr: 1.0000e-05 eta: 13:39:38 time: 10.5256 data_time: 9.6993 memory: 27786 loss: 0.0638 loss_text: 0.0387 loss_kernel: 0.0252 2022/11/02 00:04:37 - mmengine - INFO - Epoch(train) [261][15/63] lr: 1.0000e-05 eta: 13:39:38 time: 0.8402 data_time: 0.0439 memory: 27786 loss: 0.0592 loss_text: 0.0354 loss_kernel: 0.0238 2022/11/02 00:04:41 - mmengine - INFO - Epoch(train) [261][20/63] lr: 1.0000e-05 eta: 13:38:53 time: 0.7867 data_time: 0.0205 memory: 27786 loss: 0.0475 loss_text: 0.0284 loss_kernel: 0.0190 2022/11/02 00:04:45 - mmengine - INFO - Epoch(train) [261][25/63] lr: 1.0000e-05 eta: 13:38:53 time: 0.8046 data_time: 0.0373 memory: 27786 loss: 0.0527 loss_text: 0.0319 loss_kernel: 0.0208 2022/11/02 00:04:49 - mmengine - INFO - Epoch(train) [261][30/63] lr: 1.0000e-05 eta: 13:38:09 time: 0.7982 data_time: 0.0238 memory: 27786 loss: 0.0508 loss_text: 0.0306 loss_kernel: 0.0202 2022/11/02 00:04:53 - mmengine - INFO - Epoch(train) [261][35/63] lr: 1.0000e-05 eta: 13:38:09 time: 0.8056 data_time: 0.0210 memory: 27786 loss: 0.0559 loss_text: 0.0340 loss_kernel: 0.0219 2022/11/02 00:04:57 - mmengine - INFO - Epoch(train) [261][40/63] lr: 1.0000e-05 eta: 13:37:25 time: 0.8060 data_time: 0.0257 memory: 27786 loss: 0.0587 loss_text: 0.0360 loss_kernel: 0.0227 2022/11/02 00:05:01 - mmengine - INFO - Epoch(train) [261][45/63] lr: 1.0000e-05 eta: 13:37:25 time: 0.8015 data_time: 0.0206 memory: 27786 loss: 0.0487 loss_text: 0.0289 loss_kernel: 0.0198 2022/11/02 00:05:05 - mmengine - INFO - Epoch(train) [261][50/63] lr: 1.0000e-05 eta: 13:36:42 time: 0.8305 data_time: 0.0298 memory: 27786 loss: 0.0461 loss_text: 0.0273 loss_kernel: 0.0189 2022/11/02 00:05:09 - mmengine - INFO - Epoch(train) [261][55/63] lr: 1.0000e-05 eta: 13:36:42 time: 0.8319 data_time: 0.0270 memory: 27786 loss: 0.0526 loss_text: 0.0326 loss_kernel: 0.0201 2022/11/02 00:05:13 - mmengine - INFO - Epoch(train) [261][60/63] lr: 1.0000e-05 eta: 13:35:58 time: 0.7989 data_time: 0.0169 memory: 27786 loss: 0.0544 loss_text: 0.0330 loss_kernel: 0.0213 2022/11/02 00:05:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:06:55 - mmengine - INFO - Epoch(train) [262][5/63] lr: 1.0000e-05 eta: 13:35:58 time: 10.3494 data_time: 9.6024 memory: 27786 loss: 0.0521 loss_text: 0.0309 loss_kernel: 0.0212 2022/11/02 00:06:59 - mmengine - INFO - Epoch(train) [262][10/63] lr: 1.0000e-05 eta: 13:37:12 time: 10.4050 data_time: 9.6215 memory: 27786 loss: 0.0521 loss_text: 0.0307 loss_kernel: 0.0214 2022/11/02 00:07:03 - mmengine - INFO - Epoch(train) [262][15/63] lr: 1.0000e-05 eta: 13:37:12 time: 0.8018 data_time: 0.0303 memory: 27786 loss: 0.0497 loss_text: 0.0301 loss_kernel: 0.0196 2022/11/02 00:07:07 - mmengine - INFO - Epoch(train) [262][20/63] lr: 1.0000e-05 eta: 13:36:28 time: 0.7993 data_time: 0.0199 memory: 27786 loss: 0.0467 loss_text: 0.0286 loss_kernel: 0.0180 2022/11/02 00:07:11 - mmengine - INFO - Epoch(train) [262][25/63] lr: 1.0000e-05 eta: 13:36:28 time: 0.8154 data_time: 0.0299 memory: 27786 loss: 0.0487 loss_text: 0.0290 loss_kernel: 0.0196 2022/11/02 00:07:16 - mmengine - INFO - Epoch(train) [262][30/63] lr: 1.0000e-05 eta: 13:35:45 time: 0.8463 data_time: 0.0201 memory: 27786 loss: 0.0533 loss_text: 0.0317 loss_kernel: 0.0216 2022/11/02 00:07:20 - mmengine - INFO - Epoch(train) [262][35/63] lr: 1.0000e-05 eta: 13:35:45 time: 0.8633 data_time: 0.0199 memory: 27786 loss: 0.0534 loss_text: 0.0323 loss_kernel: 0.0211 2022/11/02 00:07:24 - mmengine - INFO - Epoch(train) [262][40/63] lr: 1.0000e-05 eta: 13:35:02 time: 0.8397 data_time: 0.0240 memory: 27786 loss: 0.0551 loss_text: 0.0337 loss_kernel: 0.0214 2022/11/02 00:07:28 - mmengine - INFO - Epoch(train) [262][45/63] lr: 1.0000e-05 eta: 13:35:02 time: 0.8135 data_time: 0.0225 memory: 27786 loss: 0.0491 loss_text: 0.0290 loss_kernel: 0.0201 2022/11/02 00:07:32 - mmengine - INFO - Epoch(train) [262][50/63] lr: 1.0000e-05 eta: 13:34:18 time: 0.8017 data_time: 0.0296 memory: 27786 loss: 0.0474 loss_text: 0.0280 loss_kernel: 0.0194 2022/11/02 00:07:36 - mmengine - INFO - Epoch(train) [262][55/63] lr: 1.0000e-05 eta: 13:34:18 time: 0.7857 data_time: 0.0217 memory: 27786 loss: 0.0545 loss_text: 0.0336 loss_kernel: 0.0209 2022/11/02 00:07:40 - mmengine - INFO - Epoch(train) [262][60/63] lr: 1.0000e-05 eta: 13:33:34 time: 0.7792 data_time: 0.0170 memory: 27786 loss: 0.0640 loss_text: 0.0403 loss_kernel: 0.0236 2022/11/02 00:07:42 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:09:22 - mmengine - INFO - Epoch(train) [263][5/63] lr: 1.0000e-05 eta: 13:33:34 time: 10.3364 data_time: 9.5905 memory: 27786 loss: 0.0645 loss_text: 0.0398 loss_kernel: 0.0247 2022/11/02 00:09:26 - mmengine - INFO - Epoch(train) [263][10/63] lr: 1.0000e-05 eta: 13:34:48 time: 10.4050 data_time: 9.6029 memory: 27786 loss: 0.0595 loss_text: 0.0362 loss_kernel: 0.0233 2022/11/02 00:09:30 - mmengine - INFO - Epoch(train) [263][15/63] lr: 1.0000e-05 eta: 13:34:48 time: 0.8211 data_time: 0.0261 memory: 27786 loss: 0.0528 loss_text: 0.0314 loss_kernel: 0.0214 2022/11/02 00:09:34 - mmengine - INFO - Epoch(train) [263][20/63] lr: 1.0000e-05 eta: 13:34:04 time: 0.8137 data_time: 0.0275 memory: 27786 loss: 0.0539 loss_text: 0.0323 loss_kernel: 0.0216 2022/11/02 00:09:38 - mmengine - INFO - Epoch(train) [263][25/63] lr: 1.0000e-05 eta: 13:34:04 time: 0.8055 data_time: 0.0274 memory: 27786 loss: 0.0631 loss_text: 0.0390 loss_kernel: 0.0241 2022/11/02 00:09:42 - mmengine - INFO - Epoch(train) [263][30/63] lr: 1.0000e-05 eta: 13:33:20 time: 0.7926 data_time: 0.0207 memory: 27786 loss: 0.0534 loss_text: 0.0326 loss_kernel: 0.0208 2022/11/02 00:09:46 - mmengine - INFO - Epoch(train) [263][35/63] lr: 1.0000e-05 eta: 13:33:20 time: 0.7850 data_time: 0.0261 memory: 27786 loss: 0.0421 loss_text: 0.0249 loss_kernel: 0.0172 2022/11/02 00:09:50 - mmengine - INFO - Epoch(train) [263][40/63] lr: 1.0000e-05 eta: 13:32:36 time: 0.8001 data_time: 0.0207 memory: 27786 loss: 0.0458 loss_text: 0.0273 loss_kernel: 0.0185 2022/11/02 00:09:54 - mmengine - INFO - Epoch(train) [263][45/63] lr: 1.0000e-05 eta: 13:32:36 time: 0.8098 data_time: 0.0196 memory: 27786 loss: 0.0542 loss_text: 0.0322 loss_kernel: 0.0220 2022/11/02 00:09:58 - mmengine - INFO - Epoch(train) [263][50/63] lr: 1.0000e-05 eta: 13:31:53 time: 0.7914 data_time: 0.0250 memory: 27786 loss: 0.0582 loss_text: 0.0351 loss_kernel: 0.0231 2022/11/02 00:10:02 - mmengine - INFO - Epoch(train) [263][55/63] lr: 1.0000e-05 eta: 13:31:53 time: 0.7835 data_time: 0.0227 memory: 27786 loss: 0.0499 loss_text: 0.0300 loss_kernel: 0.0199 2022/11/02 00:10:06 - mmengine - INFO - Epoch(train) [263][60/63] lr: 1.0000e-05 eta: 13:31:09 time: 0.7757 data_time: 0.0208 memory: 27786 loss: 0.0507 loss_text: 0.0308 loss_kernel: 0.0199 2022/11/02 00:10:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:11:48 - mmengine - INFO - Epoch(train) [264][5/63] lr: 1.0000e-05 eta: 13:31:09 time: 10.3985 data_time: 9.6587 memory: 27786 loss: 0.0522 loss_text: 0.0317 loss_kernel: 0.0205 2022/11/02 00:11:53 - mmengine - INFO - Epoch(train) [264][10/63] lr: 1.0000e-05 eta: 13:32:22 time: 10.4653 data_time: 9.6738 memory: 27786 loss: 0.0707 loss_text: 0.0446 loss_kernel: 0.0261 2022/11/02 00:11:56 - mmengine - INFO - Epoch(train) [264][15/63] lr: 1.0000e-05 eta: 13:32:22 time: 0.8020 data_time: 0.0278 memory: 27786 loss: 0.0689 loss_text: 0.0438 loss_kernel: 0.0251 2022/11/02 00:12:00 - mmengine - INFO - Epoch(train) [264][20/63] lr: 1.0000e-05 eta: 13:31:38 time: 0.7761 data_time: 0.0164 memory: 27786 loss: 0.0502 loss_text: 0.0313 loss_kernel: 0.0189 2022/11/02 00:12:04 - mmengine - INFO - Epoch(train) [264][25/63] lr: 1.0000e-05 eta: 13:31:38 time: 0.7968 data_time: 0.0242 memory: 27786 loss: 0.0433 loss_text: 0.0258 loss_kernel: 0.0174 2022/11/02 00:12:08 - mmengine - INFO - Epoch(train) [264][30/63] lr: 1.0000e-05 eta: 13:30:55 time: 0.7934 data_time: 0.0208 memory: 27786 loss: 0.0439 loss_text: 0.0259 loss_kernel: 0.0180 2022/11/02 00:12:13 - mmengine - INFO - Epoch(train) [264][35/63] lr: 1.0000e-05 eta: 13:30:55 time: 0.8190 data_time: 0.0187 memory: 27786 loss: 0.0487 loss_text: 0.0297 loss_kernel: 0.0190 2022/11/02 00:12:17 - mmengine - INFO - Epoch(train) [264][40/63] lr: 1.0000e-05 eta: 13:30:12 time: 0.8501 data_time: 0.0217 memory: 27786 loss: 0.0547 loss_text: 0.0335 loss_kernel: 0.0212 2022/11/02 00:12:21 - mmengine - INFO - Epoch(train) [264][45/63] lr: 1.0000e-05 eta: 13:30:12 time: 0.8347 data_time: 0.0225 memory: 27786 loss: 0.0586 loss_text: 0.0356 loss_kernel: 0.0230 2022/11/02 00:12:25 - mmengine - INFO - Epoch(train) [264][50/63] lr: 1.0000e-05 eta: 13:29:28 time: 0.8039 data_time: 0.0249 memory: 27786 loss: 0.0563 loss_text: 0.0343 loss_kernel: 0.0220 2022/11/02 00:12:29 - mmengine - INFO - Epoch(train) [264][55/63] lr: 1.0000e-05 eta: 13:29:28 time: 0.7725 data_time: 0.0243 memory: 27786 loss: 0.0476 loss_text: 0.0287 loss_kernel: 0.0188 2022/11/02 00:12:33 - mmengine - INFO - Epoch(train) [264][60/63] lr: 1.0000e-05 eta: 13:28:45 time: 0.7785 data_time: 0.0192 memory: 27786 loss: 0.0467 loss_text: 0.0277 loss_kernel: 0.0190 2022/11/02 00:12:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:14:15 - mmengine - INFO - Epoch(train) [265][5/63] lr: 1.0000e-05 eta: 13:28:45 time: 10.4117 data_time: 9.6403 memory: 27786 loss: 0.0467 loss_text: 0.0274 loss_kernel: 0.0193 2022/11/02 00:14:20 - mmengine - INFO - Epoch(train) [265][10/63] lr: 1.0000e-05 eta: 13:29:58 time: 10.4930 data_time: 9.6534 memory: 27786 loss: 0.0474 loss_text: 0.0279 loss_kernel: 0.0194 2022/11/02 00:14:24 - mmengine - INFO - Epoch(train) [265][15/63] lr: 1.0000e-05 eta: 13:29:58 time: 0.8626 data_time: 0.0321 memory: 27786 loss: 0.0439 loss_text: 0.0256 loss_kernel: 0.0183 2022/11/02 00:14:28 - mmengine - INFO - Epoch(train) [265][20/63] lr: 1.0000e-05 eta: 13:29:15 time: 0.8380 data_time: 0.0434 memory: 27786 loss: 0.0464 loss_text: 0.0277 loss_kernel: 0.0188 2022/11/02 00:14:32 - mmengine - INFO - Epoch(train) [265][25/63] lr: 1.0000e-05 eta: 13:29:15 time: 0.8190 data_time: 0.0455 memory: 27786 loss: 0.0468 loss_text: 0.0275 loss_kernel: 0.0193 2022/11/02 00:14:36 - mmengine - INFO - Epoch(train) [265][30/63] lr: 1.0000e-05 eta: 13:28:32 time: 0.7994 data_time: 0.0343 memory: 27786 loss: 0.0442 loss_text: 0.0256 loss_kernel: 0.0186 2022/11/02 00:14:40 - mmengine - INFO - Epoch(train) [265][35/63] lr: 1.0000e-05 eta: 13:28:32 time: 0.8098 data_time: 0.0367 memory: 27786 loss: 0.0479 loss_text: 0.0287 loss_kernel: 0.0191 2022/11/02 00:14:44 - mmengine - INFO - Epoch(train) [265][40/63] lr: 1.0000e-05 eta: 13:27:48 time: 0.7983 data_time: 0.0205 memory: 27786 loss: 0.0481 loss_text: 0.0290 loss_kernel: 0.0191 2022/11/02 00:14:48 - mmengine - INFO - Epoch(train) [265][45/63] lr: 1.0000e-05 eta: 13:27:48 time: 0.7883 data_time: 0.0176 memory: 27786 loss: 0.0454 loss_text: 0.0269 loss_kernel: 0.0185 2022/11/02 00:14:52 - mmengine - INFO - Epoch(train) [265][50/63] lr: 1.0000e-05 eta: 13:27:05 time: 0.7916 data_time: 0.0256 memory: 27786 loss: 0.0468 loss_text: 0.0279 loss_kernel: 0.0189 2022/11/02 00:14:56 - mmengine - INFO - Epoch(train) [265][55/63] lr: 1.0000e-05 eta: 13:27:05 time: 0.7874 data_time: 0.0277 memory: 27786 loss: 0.0489 loss_text: 0.0279 loss_kernel: 0.0210 2022/11/02 00:15:00 - mmengine - INFO - Epoch(train) [265][60/63] lr: 1.0000e-05 eta: 13:26:21 time: 0.7842 data_time: 0.0252 memory: 27786 loss: 0.0629 loss_text: 0.0375 loss_kernel: 0.0254 2022/11/02 00:15:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:16:42 - mmengine - INFO - Epoch(train) [266][5/63] lr: 1.0000e-05 eta: 13:26:21 time: 10.3421 data_time: 9.5957 memory: 27786 loss: 0.0559 loss_text: 0.0344 loss_kernel: 0.0215 2022/11/02 00:16:46 - mmengine - INFO - Epoch(train) [266][10/63] lr: 1.0000e-05 eta: 13:27:33 time: 10.4217 data_time: 9.6356 memory: 27786 loss: 0.0632 loss_text: 0.0400 loss_kernel: 0.0232 2022/11/02 00:16:50 - mmengine - INFO - Epoch(train) [266][15/63] lr: 1.0000e-05 eta: 13:27:33 time: 0.8287 data_time: 0.0537 memory: 27786 loss: 0.0737 loss_text: 0.0472 loss_kernel: 0.0265 2022/11/02 00:16:54 - mmengine - INFO - Epoch(train) [266][20/63] lr: 1.0000e-05 eta: 13:26:49 time: 0.7888 data_time: 0.0223 memory: 27786 loss: 0.0640 loss_text: 0.0399 loss_kernel: 0.0241 2022/11/02 00:16:58 - mmengine - INFO - Epoch(train) [266][25/63] lr: 1.0000e-05 eta: 13:26:49 time: 0.7997 data_time: 0.0318 memory: 27786 loss: 0.0512 loss_text: 0.0307 loss_kernel: 0.0205 2022/11/02 00:17:02 - mmengine - INFO - Epoch(train) [266][30/63] lr: 1.0000e-05 eta: 13:26:06 time: 0.7940 data_time: 0.0229 memory: 27786 loss: 0.0551 loss_text: 0.0333 loss_kernel: 0.0218 2022/11/02 00:17:06 - mmengine - INFO - Epoch(train) [266][35/63] lr: 1.0000e-05 eta: 13:26:06 time: 0.7819 data_time: 0.0225 memory: 27786 loss: 0.0627 loss_text: 0.0379 loss_kernel: 0.0248 2022/11/02 00:17:10 - mmengine - INFO - Epoch(train) [266][40/63] lr: 1.0000e-05 eta: 13:25:22 time: 0.7879 data_time: 0.0237 memory: 27786 loss: 0.0559 loss_text: 0.0335 loss_kernel: 0.0225 2022/11/02 00:17:14 - mmengine - INFO - Epoch(train) [266][45/63] lr: 1.0000e-05 eta: 13:25:22 time: 0.8128 data_time: 0.0250 memory: 27786 loss: 0.0503 loss_text: 0.0302 loss_kernel: 0.0200 2022/11/02 00:17:18 - mmengine - INFO - Epoch(train) [266][50/63] lr: 1.0000e-05 eta: 13:24:40 time: 0.8275 data_time: 0.0277 memory: 27786 loss: 0.0471 loss_text: 0.0279 loss_kernel: 0.0192 2022/11/02 00:17:22 - mmengine - INFO - Epoch(train) [266][55/63] lr: 1.0000e-05 eta: 13:24:40 time: 0.8061 data_time: 0.0204 memory: 27786 loss: 0.0477 loss_text: 0.0295 loss_kernel: 0.0182 2022/11/02 00:17:26 - mmengine - INFO - Epoch(train) [266][60/63] lr: 1.0000e-05 eta: 13:23:56 time: 0.7908 data_time: 0.0166 memory: 27786 loss: 0.0594 loss_text: 0.0368 loss_kernel: 0.0225 2022/11/02 00:17:28 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:19:07 - mmengine - INFO - Epoch(train) [267][5/63] lr: 1.0000e-05 eta: 13:23:56 time: 10.2905 data_time: 9.5370 memory: 27786 loss: 0.0588 loss_text: 0.0343 loss_kernel: 0.0244 2022/11/02 00:19:12 - mmengine - INFO - Epoch(train) [267][10/63] lr: 1.0000e-05 eta: 13:25:06 time: 10.3447 data_time: 9.5536 memory: 27786 loss: 0.0561 loss_text: 0.0331 loss_kernel: 0.0230 2022/11/02 00:19:16 - mmengine - INFO - Epoch(train) [267][15/63] lr: 1.0000e-05 eta: 13:25:06 time: 0.8351 data_time: 0.0306 memory: 27786 loss: 0.0567 loss_text: 0.0343 loss_kernel: 0.0224 2022/11/02 00:19:20 - mmengine - INFO - Epoch(train) [267][20/63] lr: 1.0000e-05 eta: 13:24:24 time: 0.8724 data_time: 0.0334 memory: 27786 loss: 0.0494 loss_text: 0.0293 loss_kernel: 0.0201 2022/11/02 00:19:24 - mmengine - INFO - Epoch(train) [267][25/63] lr: 1.0000e-05 eta: 13:24:24 time: 0.8684 data_time: 0.0359 memory: 27786 loss: 0.0488 loss_text: 0.0291 loss_kernel: 0.0197 2022/11/02 00:19:28 - mmengine - INFO - Epoch(train) [267][30/63] lr: 1.0000e-05 eta: 13:23:41 time: 0.8156 data_time: 0.0192 memory: 27786 loss: 0.0480 loss_text: 0.0289 loss_kernel: 0.0191 2022/11/02 00:19:32 - mmengine - INFO - Epoch(train) [267][35/63] lr: 1.0000e-05 eta: 13:23:41 time: 0.7977 data_time: 0.0288 memory: 27786 loss: 0.0563 loss_text: 0.0340 loss_kernel: 0.0223 2022/11/02 00:19:36 - mmengine - INFO - Epoch(train) [267][40/63] lr: 1.0000e-05 eta: 13:22:58 time: 0.7909 data_time: 0.0270 memory: 27786 loss: 0.0650 loss_text: 0.0398 loss_kernel: 0.0252 2022/11/02 00:19:40 - mmengine - INFO - Epoch(train) [267][45/63] lr: 1.0000e-05 eta: 13:22:58 time: 0.7860 data_time: 0.0204 memory: 27786 loss: 0.0518 loss_text: 0.0311 loss_kernel: 0.0208 2022/11/02 00:19:44 - mmengine - INFO - Epoch(train) [267][50/63] lr: 1.0000e-05 eta: 13:22:15 time: 0.7925 data_time: 0.0243 memory: 27786 loss: 0.0512 loss_text: 0.0305 loss_kernel: 0.0207 2022/11/02 00:19:48 - mmengine - INFO - Epoch(train) [267][55/63] lr: 1.0000e-05 eta: 13:22:15 time: 0.7885 data_time: 0.0227 memory: 27786 loss: 0.0486 loss_text: 0.0289 loss_kernel: 0.0197 2022/11/02 00:19:52 - mmengine - INFO - Epoch(train) [267][60/63] lr: 1.0000e-05 eta: 13:21:32 time: 0.8044 data_time: 0.0217 memory: 27786 loss: 0.0474 loss_text: 0.0283 loss_kernel: 0.0192 2022/11/02 00:19:54 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:21:35 - mmengine - INFO - Epoch(train) [268][5/63] lr: 1.0000e-05 eta: 13:21:32 time: 10.4357 data_time: 9.6986 memory: 27786 loss: 0.0595 loss_text: 0.0366 loss_kernel: 0.0229 2022/11/02 00:21:39 - mmengine - INFO - Epoch(train) [268][10/63] lr: 1.0000e-05 eta: 13:22:43 time: 10.4844 data_time: 9.7056 memory: 27786 loss: 0.0539 loss_text: 0.0321 loss_kernel: 0.0217 2022/11/02 00:21:43 - mmengine - INFO - Epoch(train) [268][15/63] lr: 1.0000e-05 eta: 13:22:43 time: 0.8068 data_time: 0.0329 memory: 27786 loss: 0.0538 loss_text: 0.0327 loss_kernel: 0.0212 2022/11/02 00:21:47 - mmengine - INFO - Epoch(train) [268][20/63] lr: 1.0000e-05 eta: 13:22:00 time: 0.7867 data_time: 0.0274 memory: 27786 loss: 0.0447 loss_text: 0.0268 loss_kernel: 0.0179 2022/11/02 00:21:51 - mmengine - INFO - Epoch(train) [268][25/63] lr: 1.0000e-05 eta: 13:22:00 time: 0.7883 data_time: 0.0222 memory: 27786 loss: 0.0429 loss_text: 0.0254 loss_kernel: 0.0175 2022/11/02 00:21:55 - mmengine - INFO - Epoch(train) [268][30/63] lr: 1.0000e-05 eta: 13:21:16 time: 0.7924 data_time: 0.0296 memory: 27786 loss: 0.0451 loss_text: 0.0269 loss_kernel: 0.0182 2022/11/02 00:21:59 - mmengine - INFO - Epoch(train) [268][35/63] lr: 1.0000e-05 eta: 13:21:16 time: 0.7909 data_time: 0.0343 memory: 27786 loss: 0.0506 loss_text: 0.0310 loss_kernel: 0.0196 2022/11/02 00:22:03 - mmengine - INFO - Epoch(train) [268][40/63] lr: 1.0000e-05 eta: 13:20:33 time: 0.7713 data_time: 0.0212 memory: 27786 loss: 0.0552 loss_text: 0.0340 loss_kernel: 0.0212 2022/11/02 00:22:07 - mmengine - INFO - Epoch(train) [268][45/63] lr: 1.0000e-05 eta: 13:20:33 time: 0.7623 data_time: 0.0219 memory: 27786 loss: 0.0590 loss_text: 0.0364 loss_kernel: 0.0226 2022/11/02 00:22:11 - mmengine - INFO - Epoch(train) [268][50/63] lr: 1.0000e-05 eta: 13:19:50 time: 0.7905 data_time: 0.0251 memory: 27786 loss: 0.0542 loss_text: 0.0335 loss_kernel: 0.0207 2022/11/02 00:22:15 - mmengine - INFO - Epoch(train) [268][55/63] lr: 1.0000e-05 eta: 13:19:50 time: 0.8048 data_time: 0.0221 memory: 27786 loss: 0.0468 loss_text: 0.0272 loss_kernel: 0.0196 2022/11/02 00:22:19 - mmengine - INFO - Epoch(train) [268][60/63] lr: 1.0000e-05 eta: 13:19:07 time: 0.7993 data_time: 0.0217 memory: 27786 loss: 0.0466 loss_text: 0.0268 loss_kernel: 0.0198 2022/11/02 00:22:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:24:00 - mmengine - INFO - Epoch(train) [269][5/63] lr: 1.0000e-05 eta: 13:19:07 time: 10.3325 data_time: 9.5695 memory: 27786 loss: 0.0495 loss_text: 0.0296 loss_kernel: 0.0199 2022/11/02 00:24:05 - mmengine - INFO - Epoch(train) [269][10/63] lr: 1.0000e-05 eta: 13:20:16 time: 10.3932 data_time: 9.5846 memory: 27786 loss: 0.0549 loss_text: 0.0331 loss_kernel: 0.0218 2022/11/02 00:24:09 - mmengine - INFO - Epoch(train) [269][15/63] lr: 1.0000e-05 eta: 13:20:16 time: 0.8135 data_time: 0.0260 memory: 27786 loss: 0.0548 loss_text: 0.0332 loss_kernel: 0.0216 2022/11/02 00:24:13 - mmengine - INFO - Epoch(train) [269][20/63] lr: 1.0000e-05 eta: 13:19:33 time: 0.8022 data_time: 0.0196 memory: 27786 loss: 0.0490 loss_text: 0.0297 loss_kernel: 0.0193 2022/11/02 00:24:17 - mmengine - INFO - Epoch(train) [269][25/63] lr: 1.0000e-05 eta: 13:19:33 time: 0.8249 data_time: 0.0259 memory: 27786 loss: 0.0457 loss_text: 0.0271 loss_kernel: 0.0186 2022/11/02 00:24:21 - mmengine - INFO - Epoch(train) [269][30/63] lr: 1.0000e-05 eta: 13:18:51 time: 0.8523 data_time: 0.0204 memory: 27786 loss: 0.0511 loss_text: 0.0302 loss_kernel: 0.0208 2022/11/02 00:24:25 - mmengine - INFO - Epoch(train) [269][35/63] lr: 1.0000e-05 eta: 13:18:51 time: 0.8583 data_time: 0.0285 memory: 27786 loss: 0.0572 loss_text: 0.0348 loss_kernel: 0.0224 2022/11/02 00:24:29 - mmengine - INFO - Epoch(train) [269][40/63] lr: 1.0000e-05 eta: 13:18:09 time: 0.8335 data_time: 0.0231 memory: 27786 loss: 0.0530 loss_text: 0.0312 loss_kernel: 0.0218 2022/11/02 00:24:33 - mmengine - INFO - Epoch(train) [269][45/63] lr: 1.0000e-05 eta: 13:18:09 time: 0.8062 data_time: 0.0191 memory: 27786 loss: 0.0459 loss_text: 0.0263 loss_kernel: 0.0196 2022/11/02 00:24:37 - mmengine - INFO - Epoch(train) [269][50/63] lr: 1.0000e-05 eta: 13:17:26 time: 0.7916 data_time: 0.0287 memory: 27786 loss: 0.0490 loss_text: 0.0300 loss_kernel: 0.0190 2022/11/02 00:24:41 - mmengine - INFO - Epoch(train) [269][55/63] lr: 1.0000e-05 eta: 13:17:26 time: 0.7849 data_time: 0.0201 memory: 27786 loss: 0.0498 loss_text: 0.0306 loss_kernel: 0.0192 2022/11/02 00:24:45 - mmengine - INFO - Epoch(train) [269][60/63] lr: 1.0000e-05 eta: 13:16:43 time: 0.7882 data_time: 0.0158 memory: 27786 loss: 0.0450 loss_text: 0.0263 loss_kernel: 0.0186 2022/11/02 00:24:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:26:28 - mmengine - INFO - Epoch(train) [270][5/63] lr: 1.0000e-05 eta: 13:16:43 time: 10.3711 data_time: 9.6218 memory: 27786 loss: 0.0429 loss_text: 0.0251 loss_kernel: 0.0178 2022/11/02 00:26:32 - mmengine - INFO - Epoch(train) [270][10/63] lr: 1.0000e-05 eta: 13:17:52 time: 10.4460 data_time: 9.6464 memory: 27786 loss: 0.0488 loss_text: 0.0294 loss_kernel: 0.0194 2022/11/02 00:26:36 - mmengine - INFO - Epoch(train) [270][15/63] lr: 1.0000e-05 eta: 13:17:52 time: 0.8237 data_time: 0.0337 memory: 27786 loss: 0.0502 loss_text: 0.0303 loss_kernel: 0.0199 2022/11/02 00:26:40 - mmengine - INFO - Epoch(train) [270][20/63] lr: 1.0000e-05 eta: 13:17:09 time: 0.8085 data_time: 0.0253 memory: 27786 loss: 0.0443 loss_text: 0.0261 loss_kernel: 0.0182 2022/11/02 00:26:44 - mmengine - INFO - Epoch(train) [270][25/63] lr: 1.0000e-05 eta: 13:17:09 time: 0.8083 data_time: 0.0344 memory: 27786 loss: 0.0417 loss_text: 0.0245 loss_kernel: 0.0172 2022/11/02 00:26:48 - mmengine - INFO - Epoch(train) [270][30/63] lr: 1.0000e-05 eta: 13:16:27 time: 0.8141 data_time: 0.0222 memory: 27786 loss: 0.0433 loss_text: 0.0257 loss_kernel: 0.0176 2022/11/02 00:26:52 - mmengine - INFO - Epoch(train) [270][35/63] lr: 1.0000e-05 eta: 13:16:27 time: 0.8266 data_time: 0.0240 memory: 27786 loss: 0.0505 loss_text: 0.0304 loss_kernel: 0.0201 2022/11/02 00:26:56 - mmengine - INFO - Epoch(train) [270][40/63] lr: 1.0000e-05 eta: 13:15:44 time: 0.8208 data_time: 0.0251 memory: 27786 loss: 0.0503 loss_text: 0.0308 loss_kernel: 0.0195 2022/11/02 00:27:00 - mmengine - INFO - Epoch(train) [270][45/63] lr: 1.0000e-05 eta: 13:15:44 time: 0.8234 data_time: 0.0359 memory: 27786 loss: 0.0533 loss_text: 0.0327 loss_kernel: 0.0206 2022/11/02 00:27:04 - mmengine - INFO - Epoch(train) [270][50/63] lr: 1.0000e-05 eta: 13:15:02 time: 0.8115 data_time: 0.0393 memory: 27786 loss: 0.0641 loss_text: 0.0405 loss_kernel: 0.0236 2022/11/02 00:27:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:27:08 - mmengine - INFO - Epoch(train) [270][55/63] lr: 1.0000e-05 eta: 13:15:02 time: 0.8039 data_time: 0.0233 memory: 27786 loss: 0.0591 loss_text: 0.0367 loss_kernel: 0.0224 2022/11/02 00:27:12 - mmengine - INFO - Epoch(train) [270][60/63] lr: 1.0000e-05 eta: 13:14:19 time: 0.8019 data_time: 0.0203 memory: 27786 loss: 0.0530 loss_text: 0.0319 loss_kernel: 0.0212 2022/11/02 00:27:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:28:54 - mmengine - INFO - Epoch(train) [271][5/63] lr: 1.0000e-05 eta: 13:14:19 time: 10.2753 data_time: 9.5297 memory: 27786 loss: 0.0487 loss_text: 0.0290 loss_kernel: 0.0196 2022/11/02 00:28:58 - mmengine - INFO - Epoch(train) [271][10/63] lr: 1.0000e-05 eta: 13:15:26 time: 10.3341 data_time: 9.5452 memory: 27786 loss: 0.0504 loss_text: 0.0301 loss_kernel: 0.0203 2022/11/02 00:29:02 - mmengine - INFO - Epoch(train) [271][15/63] lr: 1.0000e-05 eta: 13:15:26 time: 0.8126 data_time: 0.0325 memory: 27786 loss: 0.0527 loss_text: 0.0314 loss_kernel: 0.0213 2022/11/02 00:29:06 - mmengine - INFO - Epoch(train) [271][20/63] lr: 1.0000e-05 eta: 13:14:44 time: 0.7862 data_time: 0.0194 memory: 27786 loss: 0.0550 loss_text: 0.0332 loss_kernel: 0.0218 2022/11/02 00:29:10 - mmengine - INFO - Epoch(train) [271][25/63] lr: 1.0000e-05 eta: 13:14:44 time: 0.8099 data_time: 0.0375 memory: 27786 loss: 0.0496 loss_text: 0.0299 loss_kernel: 0.0197 2022/11/02 00:29:14 - mmengine - INFO - Epoch(train) [271][30/63] lr: 1.0000e-05 eta: 13:14:01 time: 0.8091 data_time: 0.0268 memory: 27786 loss: 0.0427 loss_text: 0.0253 loss_kernel: 0.0174 2022/11/02 00:29:18 - mmengine - INFO - Epoch(train) [271][35/63] lr: 1.0000e-05 eta: 13:14:01 time: 0.7959 data_time: 0.0205 memory: 27786 loss: 0.0429 loss_text: 0.0252 loss_kernel: 0.0177 2022/11/02 00:29:22 - mmengine - INFO - Epoch(train) [271][40/63] lr: 1.0000e-05 eta: 13:13:19 time: 0.8128 data_time: 0.0219 memory: 27786 loss: 0.0516 loss_text: 0.0314 loss_kernel: 0.0202 2022/11/02 00:29:26 - mmengine - INFO - Epoch(train) [271][45/63] lr: 1.0000e-05 eta: 13:13:19 time: 0.8277 data_time: 0.0218 memory: 27786 loss: 0.0583 loss_text: 0.0359 loss_kernel: 0.0224 2022/11/02 00:29:30 - mmengine - INFO - Epoch(train) [271][50/63] lr: 1.0000e-05 eta: 13:12:37 time: 0.8479 data_time: 0.0348 memory: 27786 loss: 0.0531 loss_text: 0.0316 loss_kernel: 0.0215 2022/11/02 00:29:34 - mmengine - INFO - Epoch(train) [271][55/63] lr: 1.0000e-05 eta: 13:12:37 time: 0.8166 data_time: 0.0247 memory: 27786 loss: 0.0561 loss_text: 0.0339 loss_kernel: 0.0222 2022/11/02 00:29:38 - mmengine - INFO - Epoch(train) [271][60/63] lr: 1.0000e-05 eta: 13:11:54 time: 0.8164 data_time: 0.0166 memory: 27786 loss: 0.0632 loss_text: 0.0394 loss_kernel: 0.0237 2022/11/02 00:29:40 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:31:21 - mmengine - INFO - Epoch(train) [272][5/63] lr: 1.0000e-05 eta: 13:11:54 time: 10.4384 data_time: 9.7052 memory: 27786 loss: 0.0504 loss_text: 0.0303 loss_kernel: 0.0201 2022/11/02 00:31:25 - mmengine - INFO - Epoch(train) [272][10/63] lr: 1.0000e-05 eta: 13:13:03 time: 10.4803 data_time: 9.7199 memory: 27786 loss: 0.0527 loss_text: 0.0321 loss_kernel: 0.0206 2022/11/02 00:31:29 - mmengine - INFO - Epoch(train) [272][15/63] lr: 1.0000e-05 eta: 13:13:03 time: 0.8006 data_time: 0.0222 memory: 27786 loss: 0.0560 loss_text: 0.0345 loss_kernel: 0.0215 2022/11/02 00:31:33 - mmengine - INFO - Epoch(train) [272][20/63] lr: 1.0000e-05 eta: 13:12:20 time: 0.7981 data_time: 0.0173 memory: 27786 loss: 0.0563 loss_text: 0.0346 loss_kernel: 0.0217 2022/11/02 00:31:37 - mmengine - INFO - Epoch(train) [272][25/63] lr: 1.0000e-05 eta: 13:12:20 time: 0.8040 data_time: 0.0242 memory: 27786 loss: 0.0472 loss_text: 0.0282 loss_kernel: 0.0190 2022/11/02 00:31:41 - mmengine - INFO - Epoch(train) [272][30/63] lr: 1.0000e-05 eta: 13:11:38 time: 0.8004 data_time: 0.0211 memory: 27786 loss: 0.0410 loss_text: 0.0237 loss_kernel: 0.0173 2022/11/02 00:31:45 - mmengine - INFO - Epoch(train) [272][35/63] lr: 1.0000e-05 eta: 13:11:38 time: 0.7930 data_time: 0.0293 memory: 27786 loss: 0.0505 loss_text: 0.0307 loss_kernel: 0.0197 2022/11/02 00:31:49 - mmengine - INFO - Epoch(train) [272][40/63] lr: 1.0000e-05 eta: 13:10:55 time: 0.7779 data_time: 0.0228 memory: 27786 loss: 0.0536 loss_text: 0.0323 loss_kernel: 0.0213 2022/11/02 00:31:53 - mmengine - INFO - Epoch(train) [272][45/63] lr: 1.0000e-05 eta: 13:10:55 time: 0.7816 data_time: 0.0231 memory: 27786 loss: 0.0548 loss_text: 0.0329 loss_kernel: 0.0219 2022/11/02 00:31:57 - mmengine - INFO - Epoch(train) [272][50/63] lr: 1.0000e-05 eta: 13:10:13 time: 0.7905 data_time: 0.0345 memory: 27786 loss: 0.0525 loss_text: 0.0319 loss_kernel: 0.0207 2022/11/02 00:32:01 - mmengine - INFO - Epoch(train) [272][55/63] lr: 1.0000e-05 eta: 13:10:13 time: 0.7854 data_time: 0.0201 memory: 27786 loss: 0.0446 loss_text: 0.0268 loss_kernel: 0.0178 2022/11/02 00:32:05 - mmengine - INFO - Epoch(train) [272][60/63] lr: 1.0000e-05 eta: 13:09:30 time: 0.7894 data_time: 0.0156 memory: 27786 loss: 0.0458 loss_text: 0.0272 loss_kernel: 0.0186 2022/11/02 00:32:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:33:46 - mmengine - INFO - Epoch(train) [273][5/63] lr: 1.0000e-05 eta: 13:09:30 time: 10.2611 data_time: 9.5286 memory: 27786 loss: 0.0585 loss_text: 0.0355 loss_kernel: 0.0230 2022/11/02 00:33:50 - mmengine - INFO - Epoch(train) [273][10/63] lr: 1.0000e-05 eta: 13:10:35 time: 10.3008 data_time: 9.5406 memory: 27786 loss: 0.0528 loss_text: 0.0320 loss_kernel: 0.0209 2022/11/02 00:33:54 - mmengine - INFO - Epoch(train) [273][15/63] lr: 1.0000e-05 eta: 13:10:35 time: 0.7742 data_time: 0.0211 memory: 27786 loss: 0.0517 loss_text: 0.0314 loss_kernel: 0.0203 2022/11/02 00:33:58 - mmengine - INFO - Epoch(train) [273][20/63] lr: 1.0000e-05 eta: 13:09:53 time: 0.7750 data_time: 0.0170 memory: 27786 loss: 0.0515 loss_text: 0.0310 loss_kernel: 0.0205 2022/11/02 00:34:02 - mmengine - INFO - Epoch(train) [273][25/63] lr: 1.0000e-05 eta: 13:09:53 time: 0.7834 data_time: 0.0226 memory: 27786 loss: 0.0536 loss_text: 0.0316 loss_kernel: 0.0219 2022/11/02 00:34:06 - mmengine - INFO - Epoch(train) [273][30/63] lr: 1.0000e-05 eta: 13:09:10 time: 0.7881 data_time: 0.0253 memory: 27786 loss: 0.0540 loss_text: 0.0314 loss_kernel: 0.0227 2022/11/02 00:34:09 - mmengine - INFO - Epoch(train) [273][35/63] lr: 1.0000e-05 eta: 13:09:10 time: 0.7833 data_time: 0.0262 memory: 27786 loss: 0.0479 loss_text: 0.0280 loss_kernel: 0.0199 2022/11/02 00:34:13 - mmengine - INFO - Epoch(train) [273][40/63] lr: 1.0000e-05 eta: 13:08:27 time: 0.7688 data_time: 0.0206 memory: 27786 loss: 0.0535 loss_text: 0.0325 loss_kernel: 0.0210 2022/11/02 00:34:17 - mmengine - INFO - Epoch(train) [273][45/63] lr: 1.0000e-05 eta: 13:08:27 time: 0.7743 data_time: 0.0216 memory: 27786 loss: 0.0586 loss_text: 0.0358 loss_kernel: 0.0228 2022/11/02 00:34:21 - mmengine - INFO - Epoch(train) [273][50/63] lr: 1.0000e-05 eta: 13:07:45 time: 0.7800 data_time: 0.0310 memory: 27786 loss: 0.0563 loss_text: 0.0345 loss_kernel: 0.0219 2022/11/02 00:34:25 - mmengine - INFO - Epoch(train) [273][55/63] lr: 1.0000e-05 eta: 13:07:45 time: 0.7793 data_time: 0.0267 memory: 27786 loss: 0.0570 loss_text: 0.0346 loss_kernel: 0.0224 2022/11/02 00:34:29 - mmengine - INFO - Epoch(train) [273][60/63] lr: 1.0000e-05 eta: 13:07:02 time: 0.7820 data_time: 0.0183 memory: 27786 loss: 0.0529 loss_text: 0.0313 loss_kernel: 0.0216 2022/11/02 00:34:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:36:11 - mmengine - INFO - Epoch(train) [274][5/63] lr: 1.0000e-05 eta: 13:07:02 time: 10.3570 data_time: 9.6281 memory: 27786 loss: 0.0517 loss_text: 0.0313 loss_kernel: 0.0204 2022/11/02 00:36:15 - mmengine - INFO - Epoch(train) [274][10/63] lr: 1.0000e-05 eta: 13:08:09 time: 10.4063 data_time: 9.6388 memory: 27786 loss: 0.0547 loss_text: 0.0338 loss_kernel: 0.0209 2022/11/02 00:36:19 - mmengine - INFO - Epoch(train) [274][15/63] lr: 1.0000e-05 eta: 13:08:09 time: 0.7907 data_time: 0.0244 memory: 27786 loss: 0.0492 loss_text: 0.0299 loss_kernel: 0.0193 2022/11/02 00:36:23 - mmengine - INFO - Epoch(train) [274][20/63] lr: 1.0000e-05 eta: 13:07:26 time: 0.7966 data_time: 0.0455 memory: 27786 loss: 0.0496 loss_text: 0.0297 loss_kernel: 0.0199 2022/11/02 00:36:27 - mmengine - INFO - Epoch(train) [274][25/63] lr: 1.0000e-05 eta: 13:07:26 time: 0.7914 data_time: 0.0433 memory: 27786 loss: 0.0527 loss_text: 0.0313 loss_kernel: 0.0214 2022/11/02 00:36:31 - mmengine - INFO - Epoch(train) [274][30/63] lr: 1.0000e-05 eta: 13:06:44 time: 0.7781 data_time: 0.0220 memory: 27786 loss: 0.0705 loss_text: 0.0440 loss_kernel: 0.0266 2022/11/02 00:36:35 - mmengine - INFO - Epoch(train) [274][35/63] lr: 1.0000e-05 eta: 13:06:44 time: 0.7886 data_time: 0.0292 memory: 27786 loss: 0.0747 loss_text: 0.0470 loss_kernel: 0.0278 2022/11/02 00:36:39 - mmengine - INFO - Epoch(train) [274][40/63] lr: 1.0000e-05 eta: 13:06:01 time: 0.7790 data_time: 0.0219 memory: 27786 loss: 0.0531 loss_text: 0.0321 loss_kernel: 0.0210 2022/11/02 00:36:43 - mmengine - INFO - Epoch(train) [274][45/63] lr: 1.0000e-05 eta: 13:06:01 time: 0.7812 data_time: 0.0252 memory: 27786 loss: 0.0519 loss_text: 0.0314 loss_kernel: 0.0205 2022/11/02 00:36:46 - mmengine - INFO - Epoch(train) [274][50/63] lr: 1.0000e-05 eta: 13:05:19 time: 0.7796 data_time: 0.0238 memory: 27786 loss: 0.0501 loss_text: 0.0301 loss_kernel: 0.0201 2022/11/02 00:36:50 - mmengine - INFO - Epoch(train) [274][55/63] lr: 1.0000e-05 eta: 13:05:19 time: 0.7807 data_time: 0.0214 memory: 27786 loss: 0.0453 loss_text: 0.0263 loss_kernel: 0.0190 2022/11/02 00:36:54 - mmengine - INFO - Epoch(train) [274][60/63] lr: 1.0000e-05 eta: 13:04:37 time: 0.7877 data_time: 0.0266 memory: 27786 loss: 0.0521 loss_text: 0.0310 loss_kernel: 0.0210 2022/11/02 00:36:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:38:37 - mmengine - INFO - Epoch(train) [275][5/63] lr: 1.0000e-05 eta: 13:04:37 time: 10.4209 data_time: 9.6907 memory: 27786 loss: 0.0426 loss_text: 0.0246 loss_kernel: 0.0180 2022/11/02 00:38:41 - mmengine - INFO - Epoch(train) [275][10/63] lr: 1.0000e-05 eta: 13:05:43 time: 10.4751 data_time: 9.7043 memory: 27786 loss: 0.0464 loss_text: 0.0265 loss_kernel: 0.0199 2022/11/02 00:38:45 - mmengine - INFO - Epoch(train) [275][15/63] lr: 1.0000e-05 eta: 13:05:43 time: 0.7807 data_time: 0.0253 memory: 27786 loss: 0.0507 loss_text: 0.0302 loss_kernel: 0.0205 2022/11/02 00:38:49 - mmengine - INFO - Epoch(train) [275][20/63] lr: 1.0000e-05 eta: 13:05:00 time: 0.7743 data_time: 0.0181 memory: 27786 loss: 0.0493 loss_text: 0.0303 loss_kernel: 0.0190 2022/11/02 00:38:53 - mmengine - INFO - Epoch(train) [275][25/63] lr: 1.0000e-05 eta: 13:05:00 time: 0.7994 data_time: 0.0301 memory: 27786 loss: 0.0486 loss_text: 0.0298 loss_kernel: 0.0188 2022/11/02 00:38:57 - mmengine - INFO - Epoch(train) [275][30/63] lr: 1.0000e-05 eta: 13:04:18 time: 0.7998 data_time: 0.0233 memory: 27786 loss: 0.0467 loss_text: 0.0282 loss_kernel: 0.0186 2022/11/02 00:39:01 - mmengine - INFO - Epoch(train) [275][35/63] lr: 1.0000e-05 eta: 13:04:18 time: 0.7935 data_time: 0.0220 memory: 27786 loss: 0.0508 loss_text: 0.0311 loss_kernel: 0.0197 2022/11/02 00:39:05 - mmengine - INFO - Epoch(train) [275][40/63] lr: 1.0000e-05 eta: 13:03:36 time: 0.7975 data_time: 0.0239 memory: 27786 loss: 0.0571 loss_text: 0.0351 loss_kernel: 0.0220 2022/11/02 00:39:09 - mmengine - INFO - Epoch(train) [275][45/63] lr: 1.0000e-05 eta: 13:03:36 time: 0.7981 data_time: 0.0242 memory: 27786 loss: 0.0576 loss_text: 0.0352 loss_kernel: 0.0223 2022/11/02 00:39:13 - mmengine - INFO - Epoch(train) [275][50/63] lr: 1.0000e-05 eta: 13:02:54 time: 0.7923 data_time: 0.0285 memory: 27786 loss: 0.0550 loss_text: 0.0334 loss_kernel: 0.0216 2022/11/02 00:39:17 - mmengine - INFO - Epoch(train) [275][55/63] lr: 1.0000e-05 eta: 13:02:54 time: 0.7876 data_time: 0.0221 memory: 27786 loss: 0.0479 loss_text: 0.0281 loss_kernel: 0.0198 2022/11/02 00:39:20 - mmengine - INFO - Epoch(train) [275][60/63] lr: 1.0000e-05 eta: 13:02:12 time: 0.7848 data_time: 0.0158 memory: 27786 loss: 0.0449 loss_text: 0.0263 loss_kernel: 0.0186 2022/11/02 00:39:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:41:03 - mmengine - INFO - Epoch(train) [276][5/63] lr: 1.0000e-05 eta: 13:02:12 time: 10.3915 data_time: 9.6561 memory: 27786 loss: 0.0445 loss_text: 0.0260 loss_kernel: 0.0184 2022/11/02 00:41:07 - mmengine - INFO - Epoch(train) [276][10/63] lr: 1.0000e-05 eta: 13:03:17 time: 10.4462 data_time: 9.6716 memory: 27786 loss: 0.0554 loss_text: 0.0341 loss_kernel: 0.0213 2022/11/02 00:41:11 - mmengine - INFO - Epoch(train) [276][15/63] lr: 1.0000e-05 eta: 13:03:17 time: 0.7917 data_time: 0.0267 memory: 27786 loss: 0.0549 loss_text: 0.0339 loss_kernel: 0.0210 2022/11/02 00:41:15 - mmengine - INFO - Epoch(train) [276][20/63] lr: 1.0000e-05 eta: 13:02:35 time: 0.7991 data_time: 0.0249 memory: 27786 loss: 0.0450 loss_text: 0.0268 loss_kernel: 0.0182 2022/11/02 00:41:19 - mmengine - INFO - Epoch(train) [276][25/63] lr: 1.0000e-05 eta: 13:02:35 time: 0.8015 data_time: 0.0267 memory: 27786 loss: 0.0494 loss_text: 0.0299 loss_kernel: 0.0195 2022/11/02 00:41:23 - mmengine - INFO - Epoch(train) [276][30/63] lr: 1.0000e-05 eta: 13:01:53 time: 0.7858 data_time: 0.0200 memory: 27786 loss: 0.0493 loss_text: 0.0298 loss_kernel: 0.0195 2022/11/02 00:41:27 - mmengine - INFO - Epoch(train) [276][35/63] lr: 1.0000e-05 eta: 13:01:53 time: 0.7949 data_time: 0.0300 memory: 27786 loss: 0.0503 loss_text: 0.0308 loss_kernel: 0.0195 2022/11/02 00:41:31 - mmengine - INFO - Epoch(train) [276][40/63] lr: 1.0000e-05 eta: 13:01:11 time: 0.7860 data_time: 0.0252 memory: 27786 loss: 0.0569 loss_text: 0.0353 loss_kernel: 0.0216 2022/11/02 00:41:35 - mmengine - INFO - Epoch(train) [276][45/63] lr: 1.0000e-05 eta: 13:01:11 time: 0.7851 data_time: 0.0236 memory: 27786 loss: 0.0506 loss_text: 0.0305 loss_kernel: 0.0201 2022/11/02 00:41:39 - mmengine - INFO - Epoch(train) [276][50/63] lr: 1.0000e-05 eta: 13:00:29 time: 0.7893 data_time: 0.0286 memory: 27786 loss: 0.0504 loss_text: 0.0304 loss_kernel: 0.0199 2022/11/02 00:41:43 - mmengine - INFO - Epoch(train) [276][55/63] lr: 1.0000e-05 eta: 13:00:29 time: 0.7908 data_time: 0.0216 memory: 27786 loss: 0.0502 loss_text: 0.0303 loss_kernel: 0.0199 2022/11/02 00:41:46 - mmengine - INFO - Epoch(train) [276][60/63] lr: 1.0000e-05 eta: 12:59:47 time: 0.7881 data_time: 0.0196 memory: 27786 loss: 0.0442 loss_text: 0.0250 loss_kernel: 0.0192 2022/11/02 00:41:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:43:28 - mmengine - INFO - Epoch(train) [277][5/63] lr: 1.0000e-05 eta: 12:59:47 time: 10.3293 data_time: 9.5983 memory: 27786 loss: 0.0486 loss_text: 0.0294 loss_kernel: 0.0193 2022/11/02 00:43:32 - mmengine - INFO - Epoch(train) [277][10/63] lr: 1.0000e-05 eta: 13:00:51 time: 10.4081 data_time: 9.6162 memory: 27786 loss: 0.0467 loss_text: 0.0283 loss_kernel: 0.0184 2022/11/02 00:43:36 - mmengine - INFO - Epoch(train) [277][15/63] lr: 1.0000e-05 eta: 13:00:51 time: 0.8186 data_time: 0.0313 memory: 27786 loss: 0.0523 loss_text: 0.0311 loss_kernel: 0.0212 2022/11/02 00:43:40 - mmengine - INFO - Epoch(train) [277][20/63] lr: 1.0000e-05 eta: 13:00:09 time: 0.7991 data_time: 0.0266 memory: 27786 loss: 0.0486 loss_text: 0.0283 loss_kernel: 0.0203 2022/11/02 00:43:44 - mmengine - INFO - Epoch(train) [277][25/63] lr: 1.0000e-05 eta: 13:00:09 time: 0.7906 data_time: 0.0287 memory: 27786 loss: 0.0431 loss_text: 0.0250 loss_kernel: 0.0181 2022/11/02 00:43:48 - mmengine - INFO - Epoch(train) [277][30/63] lr: 1.0000e-05 eta: 12:59:27 time: 0.7895 data_time: 0.0272 memory: 27786 loss: 0.0465 loss_text: 0.0275 loss_kernel: 0.0190 2022/11/02 00:43:52 - mmengine - INFO - Epoch(train) [277][35/63] lr: 1.0000e-05 eta: 12:59:27 time: 0.7891 data_time: 0.0259 memory: 27786 loss: 0.0602 loss_text: 0.0371 loss_kernel: 0.0231 2022/11/02 00:43:56 - mmengine - INFO - Epoch(train) [277][40/63] lr: 1.0000e-05 eta: 12:58:46 time: 0.7996 data_time: 0.0286 memory: 27786 loss: 0.0573 loss_text: 0.0350 loss_kernel: 0.0223 2022/11/02 00:44:00 - mmengine - INFO - Epoch(train) [277][45/63] lr: 1.0000e-05 eta: 12:58:46 time: 0.8066 data_time: 0.0354 memory: 27786 loss: 0.0431 loss_text: 0.0250 loss_kernel: 0.0182 2022/11/02 00:44:04 - mmengine - INFO - Epoch(train) [277][50/63] lr: 1.0000e-05 eta: 12:58:04 time: 0.7926 data_time: 0.0269 memory: 27786 loss: 0.0511 loss_text: 0.0304 loss_kernel: 0.0207 2022/11/02 00:44:08 - mmengine - INFO - Epoch(train) [277][55/63] lr: 1.0000e-05 eta: 12:58:04 time: 0.7822 data_time: 0.0220 memory: 27786 loss: 0.0554 loss_text: 0.0332 loss_kernel: 0.0222 2022/11/02 00:44:12 - mmengine - INFO - Epoch(train) [277][60/63] lr: 1.0000e-05 eta: 12:57:22 time: 0.7886 data_time: 0.0199 memory: 27786 loss: 0.0483 loss_text: 0.0286 loss_kernel: 0.0196 2022/11/02 00:44:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:45:54 - mmengine - INFO - Epoch(train) [278][5/63] lr: 1.0000e-05 eta: 12:57:22 time: 10.3712 data_time: 9.6417 memory: 27786 loss: 0.0459 loss_text: 0.0268 loss_kernel: 0.0191 2022/11/02 00:45:59 - mmengine - INFO - Epoch(train) [278][10/63] lr: 1.0000e-05 eta: 12:58:26 time: 10.4374 data_time: 9.6552 memory: 27786 loss: 0.0528 loss_text: 0.0316 loss_kernel: 0.0212 2022/11/02 00:46:02 - mmengine - INFO - Epoch(train) [278][15/63] lr: 1.0000e-05 eta: 12:58:26 time: 0.7974 data_time: 0.0244 memory: 27786 loss: 0.0586 loss_text: 0.0353 loss_kernel: 0.0233 2022/11/02 00:46:06 - mmengine - INFO - Epoch(train) [278][20/63] lr: 1.0000e-05 eta: 12:57:44 time: 0.7869 data_time: 0.0210 memory: 27786 loss: 0.0502 loss_text: 0.0295 loss_kernel: 0.0207 2022/11/02 00:46:10 - mmengine - INFO - Epoch(train) [278][25/63] lr: 1.0000e-05 eta: 12:57:44 time: 0.7939 data_time: 0.0322 memory: 27786 loss: 0.0547 loss_text: 0.0332 loss_kernel: 0.0215 2022/11/02 00:46:14 - mmengine - INFO - Epoch(train) [278][30/63] lr: 1.0000e-05 eta: 12:57:02 time: 0.7903 data_time: 0.0221 memory: 27786 loss: 0.0604 loss_text: 0.0374 loss_kernel: 0.0230 2022/11/02 00:46:18 - mmengine - INFO - Epoch(train) [278][35/63] lr: 1.0000e-05 eta: 12:57:02 time: 0.7939 data_time: 0.0212 memory: 27786 loss: 0.0495 loss_text: 0.0297 loss_kernel: 0.0198 2022/11/02 00:46:22 - mmengine - INFO - Epoch(train) [278][40/63] lr: 1.0000e-05 eta: 12:56:20 time: 0.7854 data_time: 0.0232 memory: 27786 loss: 0.0537 loss_text: 0.0324 loss_kernel: 0.0213 2022/11/02 00:46:26 - mmengine - INFO - Epoch(train) [278][45/63] lr: 1.0000e-05 eta: 12:56:20 time: 0.7849 data_time: 0.0198 memory: 27786 loss: 0.0643 loss_text: 0.0397 loss_kernel: 0.0246 2022/11/02 00:46:30 - mmengine - INFO - Epoch(train) [278][50/63] lr: 1.0000e-05 eta: 12:55:38 time: 0.7876 data_time: 0.0238 memory: 27786 loss: 0.0625 loss_text: 0.0388 loss_kernel: 0.0237 2022/11/02 00:46:34 - mmengine - INFO - Epoch(train) [278][55/63] lr: 1.0000e-05 eta: 12:55:38 time: 0.7825 data_time: 0.0222 memory: 27786 loss: 0.0539 loss_text: 0.0329 loss_kernel: 0.0210 2022/11/02 00:46:38 - mmengine - INFO - Epoch(train) [278][60/63] lr: 1.0000e-05 eta: 12:54:57 time: 0.7757 data_time: 0.0165 memory: 27786 loss: 0.0454 loss_text: 0.0264 loss_kernel: 0.0190 2022/11/02 00:46:40 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:48:19 - mmengine - INFO - Epoch(train) [279][5/63] lr: 1.0000e-05 eta: 12:54:57 time: 10.2653 data_time: 9.5321 memory: 27786 loss: 0.0497 loss_text: 0.0295 loss_kernel: 0.0203 2022/11/02 00:48:23 - mmengine - INFO - Epoch(train) [279][10/63] lr: 1.0000e-05 eta: 12:55:58 time: 10.3270 data_time: 9.5470 memory: 27786 loss: 0.0511 loss_text: 0.0311 loss_kernel: 0.0200 2022/11/02 00:48:27 - mmengine - INFO - Epoch(train) [279][15/63] lr: 1.0000e-05 eta: 12:55:58 time: 0.8032 data_time: 0.0319 memory: 27786 loss: 0.0577 loss_text: 0.0356 loss_kernel: 0.0221 2022/11/02 00:48:31 - mmengine - INFO - Epoch(train) [279][20/63] lr: 1.0000e-05 eta: 12:55:17 time: 0.8010 data_time: 0.0297 memory: 27786 loss: 0.0502 loss_text: 0.0299 loss_kernel: 0.0203 2022/11/02 00:48:35 - mmengine - INFO - Epoch(train) [279][25/63] lr: 1.0000e-05 eta: 12:55:17 time: 0.8051 data_time: 0.0293 memory: 27786 loss: 0.0497 loss_text: 0.0301 loss_kernel: 0.0196 2022/11/02 00:48:39 - mmengine - INFO - Epoch(train) [279][30/63] lr: 1.0000e-05 eta: 12:54:35 time: 0.7814 data_time: 0.0210 memory: 27786 loss: 0.0567 loss_text: 0.0346 loss_kernel: 0.0221 2022/11/02 00:48:43 - mmengine - INFO - Epoch(train) [279][35/63] lr: 1.0000e-05 eta: 12:54:35 time: 0.7808 data_time: 0.0290 memory: 27786 loss: 0.0532 loss_text: 0.0311 loss_kernel: 0.0221 2022/11/02 00:48:47 - mmengine - INFO - Epoch(train) [279][40/63] lr: 1.0000e-05 eta: 12:53:53 time: 0.7788 data_time: 0.0212 memory: 27786 loss: 0.0530 loss_text: 0.0313 loss_kernel: 0.0217 2022/11/02 00:48:51 - mmengine - INFO - Epoch(train) [279][45/63] lr: 1.0000e-05 eta: 12:53:53 time: 0.8003 data_time: 0.0274 memory: 27786 loss: 0.0569 loss_text: 0.0345 loss_kernel: 0.0224 2022/11/02 00:48:55 - mmengine - INFO - Epoch(train) [279][50/63] lr: 1.0000e-05 eta: 12:53:12 time: 0.8118 data_time: 0.0343 memory: 27786 loss: 0.0621 loss_text: 0.0380 loss_kernel: 0.0241 2022/11/02 00:48:59 - mmengine - INFO - Epoch(train) [279][55/63] lr: 1.0000e-05 eta: 12:53:12 time: 0.7822 data_time: 0.0207 memory: 27786 loss: 0.0555 loss_text: 0.0339 loss_kernel: 0.0216 2022/11/02 00:49:03 - mmengine - INFO - Epoch(train) [279][60/63] lr: 1.0000e-05 eta: 12:52:30 time: 0.7714 data_time: 0.0184 memory: 27786 loss: 0.0500 loss_text: 0.0301 loss_kernel: 0.0199 2022/11/02 00:49:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:50:45 - mmengine - INFO - Epoch(train) [280][5/63] lr: 1.0000e-05 eta: 12:52:30 time: 10.3359 data_time: 9.6054 memory: 27786 loss: 0.0574 loss_text: 0.0347 loss_kernel: 0.0227 2022/11/02 00:50:49 - mmengine - INFO - Epoch(train) [280][10/63] lr: 1.0000e-05 eta: 12:53:32 time: 10.3876 data_time: 9.6154 memory: 27786 loss: 0.0566 loss_text: 0.0346 loss_kernel: 0.0220 2022/11/02 00:50:53 - mmengine - INFO - Epoch(train) [280][15/63] lr: 1.0000e-05 eta: 12:53:32 time: 0.7958 data_time: 0.0268 memory: 27786 loss: 0.0508 loss_text: 0.0302 loss_kernel: 0.0206 2022/11/02 00:50:56 - mmengine - INFO - Epoch(train) [280][20/63] lr: 1.0000e-05 eta: 12:52:50 time: 0.7897 data_time: 0.0210 memory: 27786 loss: 0.0447 loss_text: 0.0261 loss_kernel: 0.0186 2022/11/02 00:51:01 - mmengine - INFO - Epoch(train) [280][25/63] lr: 1.0000e-05 eta: 12:52:50 time: 0.8068 data_time: 0.0297 memory: 27786 loss: 0.0464 loss_text: 0.0275 loss_kernel: 0.0190 2022/11/02 00:51:05 - mmengine - INFO - Epoch(train) [280][30/63] lr: 1.0000e-05 eta: 12:52:09 time: 0.8103 data_time: 0.0304 memory: 27786 loss: 0.0625 loss_text: 0.0386 loss_kernel: 0.0238 2022/11/02 00:51:09 - mmengine - INFO - Epoch(train) [280][35/63] lr: 1.0000e-05 eta: 12:52:09 time: 0.8012 data_time: 0.0214 memory: 27786 loss: 0.0674 loss_text: 0.0422 loss_kernel: 0.0253 2022/11/02 00:51:13 - mmengine - INFO - Epoch(train) [280][40/63] lr: 1.0000e-05 eta: 12:51:28 time: 0.8059 data_time: 0.0214 memory: 27786 loss: 0.0525 loss_text: 0.0325 loss_kernel: 0.0200 2022/11/02 00:51:17 - mmengine - INFO - Epoch(train) [280][45/63] lr: 1.0000e-05 eta: 12:51:28 time: 0.8035 data_time: 0.0309 memory: 27786 loss: 0.0450 loss_text: 0.0274 loss_kernel: 0.0176 2022/11/02 00:51:21 - mmengine - INFO - Epoch(train) [280][50/63] lr: 1.0000e-05 eta: 12:50:46 time: 0.7936 data_time: 0.0302 memory: 27786 loss: 0.0434 loss_text: 0.0255 loss_kernel: 0.0179 2022/11/02 00:51:24 - mmengine - INFO - Epoch(train) [280][55/63] lr: 1.0000e-05 eta: 12:50:46 time: 0.7746 data_time: 0.0256 memory: 27786 loss: 0.0420 loss_text: 0.0242 loss_kernel: 0.0177 2022/11/02 00:51:28 - mmengine - INFO - Epoch(train) [280][60/63] lr: 1.0000e-05 eta: 12:50:05 time: 0.7668 data_time: 0.0227 memory: 27786 loss: 0.0485 loss_text: 0.0285 loss_kernel: 0.0200 2022/11/02 00:51:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:51:30 - mmengine - INFO - Saving checkpoint at 280 epochs 2022/11/02 00:52:07 - mmengine - INFO - Epoch(val) [280][5/500] eta: 12:50:05 time: 3.1882 data_time: 3.1424 memory: 27786 2022/11/02 00:52:07 - mmengine - INFO - Epoch(val) [280][10/500] eta: 0:26:10 time: 3.2042 data_time: 3.1477 memory: 2082 2022/11/02 00:52:07 - mmengine - INFO - Epoch(val) [280][15/500] eta: 0:26:10 time: 0.0598 data_time: 0.0072 memory: 2007 2022/11/02 00:52:08 - mmengine - INFO - Epoch(val) [280][20/500] eta: 0:00:21 time: 0.0453 data_time: 0.0017 memory: 1705 2022/11/02 00:52:08 - mmengine - INFO - Epoch(val) [280][25/500] eta: 0:00:21 time: 0.0424 data_time: 0.0018 memory: 1705 2022/11/02 00:52:08 - mmengine - INFO - Epoch(val) [280][30/500] eta: 0:00:19 time: 0.0423 data_time: 0.0018 memory: 1705 2022/11/02 00:52:08 - mmengine - INFO - Epoch(val) [280][35/500] eta: 0:00:19 time: 0.0453 data_time: 0.0018 memory: 1705 2022/11/02 00:52:09 - mmengine - INFO - Epoch(val) [280][40/500] eta: 0:00:21 time: 0.0463 data_time: 0.0019 memory: 1743 2022/11/02 00:52:09 - mmengine - INFO - Epoch(val) [280][45/500] eta: 0:00:21 time: 0.0450 data_time: 0.0019 memory: 2082 2022/11/02 00:52:09 - mmengine - INFO - Epoch(val) [280][50/500] eta: 0:00:21 time: 0.0486 data_time: 0.0021 memory: 1818 2022/11/02 00:52:09 - mmengine - INFO - Epoch(val) [280][55/500] eta: 0:00:21 time: 0.0466 data_time: 0.0021 memory: 1781 2022/11/02 00:52:09 - mmengine - INFO - Epoch(val) [280][60/500] eta: 0:00:19 time: 0.0440 data_time: 0.0019 memory: 1705 2022/11/02 00:52:10 - mmengine - INFO - Epoch(val) [280][65/500] eta: 0:00:19 time: 0.0479 data_time: 0.0018 memory: 1818 2022/11/02 00:52:10 - mmengine - INFO - Epoch(val) [280][70/500] eta: 0:00:19 time: 0.0458 data_time: 0.0018 memory: 2082 2022/11/02 00:52:10 - mmengine - INFO - Epoch(val) [280][75/500] eta: 0:00:19 time: 0.0448 data_time: 0.0016 memory: 1818 2022/11/02 00:52:10 - mmengine - INFO - Epoch(val) [280][80/500] eta: 0:00:17 time: 0.0426 data_time: 0.0014 memory: 1705 2022/11/02 00:52:11 - mmengine - INFO - Epoch(val) [280][85/500] eta: 0:00:17 time: 0.0404 data_time: 0.0014 memory: 1705 2022/11/02 00:52:11 - mmengine - INFO - Epoch(val) [280][90/500] eta: 0:00:19 time: 0.0466 data_time: 0.0014 memory: 2082 2022/11/02 00:52:11 - mmengine - INFO - Epoch(val) [280][95/500] eta: 0:00:19 time: 0.0453 data_time: 0.0014 memory: 1743 2022/11/02 00:52:11 - mmengine - INFO - Epoch(val) [280][100/500] eta: 0:00:17 time: 0.0445 data_time: 0.0016 memory: 2082 2022/11/02 00:52:12 - mmengine - INFO - Epoch(val) [280][105/500] eta: 0:00:17 time: 0.0480 data_time: 0.0017 memory: 1705 2022/11/02 00:52:12 - mmengine - INFO - Epoch(val) [280][110/500] eta: 0:00:18 time: 0.0463 data_time: 0.0015 memory: 2082 2022/11/02 00:52:12 - mmengine - INFO - Epoch(val) [280][115/500] eta: 0:00:18 time: 0.0442 data_time: 0.0016 memory: 1705 2022/11/02 00:52:12 - mmengine - INFO - Epoch(val) [280][120/500] eta: 0:00:19 time: 0.0503 data_time: 0.0019 memory: 1705 2022/11/02 00:52:13 - mmengine - INFO - Epoch(val) [280][125/500] eta: 0:00:19 time: 0.0597 data_time: 0.0022 memory: 2082 2022/11/02 00:52:13 - mmengine - INFO - Epoch(val) [280][130/500] eta: 0:00:18 time: 0.0510 data_time: 0.0023 memory: 1705 2022/11/02 00:52:13 - mmengine - INFO - Epoch(val) [280][135/500] eta: 0:00:18 time: 0.0484 data_time: 0.0022 memory: 1856 2022/11/02 00:52:13 - mmengine - INFO - Epoch(val) [280][140/500] eta: 0:00:19 time: 0.0553 data_time: 0.0021 memory: 1705 2022/11/02 00:52:14 - mmengine - INFO - Epoch(val) [280][145/500] eta: 0:00:19 time: 0.0479 data_time: 0.0019 memory: 2044 2022/11/02 00:52:14 - mmengine - INFO - Epoch(val) [280][150/500] eta: 0:00:14 time: 0.0405 data_time: 0.0017 memory: 1705 2022/11/02 00:52:14 - mmengine - INFO - Epoch(val) [280][155/500] eta: 0:00:14 time: 0.0485 data_time: 0.0017 memory: 1969 2022/11/02 00:52:14 - mmengine - INFO - Epoch(val) [280][160/500] eta: 0:00:17 time: 0.0524 data_time: 0.0018 memory: 2082 2022/11/02 00:52:14 - mmengine - INFO - Epoch(val) [280][165/500] eta: 0:00:17 time: 0.0444 data_time: 0.0019 memory: 1781 2022/11/02 00:52:15 - mmengine - INFO - Epoch(val) [280][170/500] eta: 0:00:15 time: 0.0463 data_time: 0.0018 memory: 1969 2022/11/02 00:52:15 - mmengine - INFO - Epoch(val) [280][175/500] eta: 0:00:15 time: 0.0463 data_time: 0.0018 memory: 2082 2022/11/02 00:52:15 - mmengine - INFO - Epoch(val) [280][180/500] eta: 0:00:13 time: 0.0419 data_time: 0.0020 memory: 2082 2022/11/02 00:52:15 - mmengine - INFO - Epoch(val) [280][185/500] eta: 0:00:13 time: 0.0437 data_time: 0.0021 memory: 1705 2022/11/02 00:52:16 - mmengine - INFO - Epoch(val) [280][190/500] eta: 0:00:14 time: 0.0475 data_time: 0.0020 memory: 1818 2022/11/02 00:52:16 - mmengine - INFO - Epoch(val) [280][195/500] eta: 0:00:14 time: 0.0434 data_time: 0.0019 memory: 1781 2022/11/02 00:52:16 - mmengine - INFO - Epoch(val) [280][200/500] eta: 0:00:14 time: 0.0478 data_time: 0.0092 memory: 1781 2022/11/02 00:52:16 - mmengine - INFO - Epoch(val) [280][205/500] eta: 0:00:14 time: 0.0489 data_time: 0.0091 memory: 1705 2022/11/02 00:52:17 - mmengine - INFO - Epoch(val) [280][210/500] eta: 0:00:13 time: 0.0460 data_time: 0.0018 memory: 2082 2022/11/02 00:52:17 - mmengine - INFO - Epoch(val) [280][215/500] eta: 0:00:13 time: 0.0463 data_time: 0.0018 memory: 1705 2022/11/02 00:52:17 - mmengine - INFO - Epoch(val) [280][220/500] eta: 0:00:12 time: 0.0437 data_time: 0.0017 memory: 1856 2022/11/02 00:52:17 - mmengine - INFO - Epoch(val) [280][225/500] eta: 0:00:12 time: 0.0478 data_time: 0.0021 memory: 2082 2022/11/02 00:52:18 - mmengine - INFO - Epoch(val) [280][230/500] eta: 0:00:15 time: 0.0586 data_time: 0.0021 memory: 1705 2022/11/02 00:52:18 - mmengine - INFO - Epoch(val) [280][235/500] eta: 0:00:15 time: 0.0574 data_time: 0.0016 memory: 2082 2022/11/02 00:52:18 - mmengine - INFO - Epoch(val) [280][240/500] eta: 0:00:12 time: 0.0470 data_time: 0.0015 memory: 2082 2022/11/02 00:52:18 - mmengine - INFO - Epoch(val) [280][245/500] eta: 0:00:12 time: 0.0478 data_time: 0.0016 memory: 2082 2022/11/02 00:52:18 - mmengine - INFO - Epoch(val) [280][250/500] eta: 0:00:11 time: 0.0461 data_time: 0.0015 memory: 1705 2022/11/02 00:52:19 - mmengine - INFO - Epoch(val) [280][255/500] eta: 0:00:11 time: 0.0687 data_time: 0.0016 memory: 1743 2022/11/02 00:52:19 - mmengine - INFO - Epoch(val) [280][260/500] eta: 0:00:17 time: 0.0734 data_time: 0.0089 memory: 1705 2022/11/02 00:52:19 - mmengine - INFO - Epoch(val) [280][265/500] eta: 0:00:17 time: 0.0545 data_time: 0.0092 memory: 2007 2022/11/02 00:52:20 - mmengine - INFO - Epoch(val) [280][270/500] eta: 0:00:11 time: 0.0495 data_time: 0.0021 memory: 1931 2022/11/02 00:52:20 - mmengine - INFO - Epoch(val) [280][275/500] eta: 0:00:11 time: 0.0492 data_time: 0.0020 memory: 2082 2022/11/02 00:52:20 - mmengine - INFO - Epoch(val) [280][280/500] eta: 0:00:10 time: 0.0461 data_time: 0.0021 memory: 2007 2022/11/02 00:52:20 - mmengine - INFO - Epoch(val) [280][285/500] eta: 0:00:10 time: 0.0415 data_time: 0.0018 memory: 1705 2022/11/02 00:52:21 - mmengine - INFO - Epoch(val) [280][290/500] eta: 0:00:09 time: 0.0454 data_time: 0.0016 memory: 2082 2022/11/02 00:52:21 - mmengine - INFO - Epoch(val) [280][295/500] eta: 0:00:09 time: 0.0442 data_time: 0.0016 memory: 1818 2022/11/02 00:52:21 - mmengine - INFO - Epoch(val) [280][300/500] eta: 0:00:08 time: 0.0428 data_time: 0.0015 memory: 1743 2022/11/02 00:52:21 - mmengine - INFO - Epoch(val) [280][305/500] eta: 0:00:08 time: 0.0372 data_time: 0.0014 memory: 1705 2022/11/02 00:52:21 - mmengine - INFO - Epoch(val) [280][310/500] eta: 0:00:06 time: 0.0366 data_time: 0.0014 memory: 1781 2022/11/02 00:52:22 - mmengine - INFO - Epoch(val) [280][315/500] eta: 0:00:06 time: 0.0472 data_time: 0.0015 memory: 2007 2022/11/02 00:52:22 - mmengine - INFO - Epoch(val) [280][320/500] eta: 0:00:09 time: 0.0504 data_time: 0.0015 memory: 2007 2022/11/02 00:52:22 - mmengine - INFO - Epoch(val) [280][325/500] eta: 0:00:09 time: 0.0469 data_time: 0.0015 memory: 2082 2022/11/02 00:52:22 - mmengine - INFO - Epoch(val) [280][330/500] eta: 0:00:07 time: 0.0447 data_time: 0.0015 memory: 1743 2022/11/02 00:52:23 - mmengine - INFO - Epoch(val) [280][335/500] eta: 0:00:07 time: 0.0456 data_time: 0.0015 memory: 1931 2022/11/02 00:52:23 - mmengine - INFO - Epoch(val) [280][340/500] eta: 0:00:07 time: 0.0445 data_time: 0.0015 memory: 2044 2022/11/02 00:52:23 - mmengine - INFO - Epoch(val) [280][345/500] eta: 0:00:07 time: 0.0419 data_time: 0.0016 memory: 1931 2022/11/02 00:52:23 - mmengine - INFO - Epoch(val) [280][350/500] eta: 0:00:07 time: 0.0493 data_time: 0.0017 memory: 1705 2022/11/02 00:52:24 - mmengine - INFO - Epoch(val) [280][355/500] eta: 0:00:07 time: 0.0599 data_time: 0.0018 memory: 2044 2022/11/02 00:52:24 - mmengine - INFO - Epoch(val) [280][360/500] eta: 0:00:07 time: 0.0503 data_time: 0.0017 memory: 1743 2022/11/02 00:52:24 - mmengine - INFO - Epoch(val) [280][365/500] eta: 0:00:07 time: 0.0402 data_time: 0.0016 memory: 1592 2022/11/02 00:52:24 - mmengine - INFO - Epoch(val) [280][370/500] eta: 0:00:06 time: 0.0497 data_time: 0.0110 memory: 1818 2022/11/02 00:52:24 - mmengine - INFO - Epoch(val) [280][375/500] eta: 0:00:06 time: 0.0440 data_time: 0.0111 memory: 1705 2022/11/02 00:52:25 - mmengine - INFO - Epoch(val) [280][380/500] eta: 0:00:04 time: 0.0395 data_time: 0.0018 memory: 2044 2022/11/02 00:52:25 - mmengine - INFO - Epoch(val) [280][385/500] eta: 0:00:04 time: 0.0563 data_time: 0.0120 memory: 2044 2022/11/02 00:52:25 - mmengine - INFO - Epoch(val) [280][390/500] eta: 0:00:06 time: 0.0582 data_time: 0.0119 memory: 2082 2022/11/02 00:52:26 - mmengine - INFO - Epoch(val) [280][395/500] eta: 0:00:06 time: 0.0651 data_time: 0.0019 memory: 1705 2022/11/02 00:52:26 - mmengine - INFO - Epoch(val) [280][400/500] eta: 0:00:06 time: 0.0660 data_time: 0.0020 memory: 2044 2022/11/02 00:52:26 - mmengine - INFO - Epoch(val) [280][405/500] eta: 0:00:06 time: 0.0481 data_time: 0.0020 memory: 2044 2022/11/02 00:52:26 - mmengine - INFO - Epoch(val) [280][410/500] eta: 0:00:03 time: 0.0432 data_time: 0.0020 memory: 1818 2022/11/02 00:52:27 - mmengine - INFO - Epoch(val) [280][415/500] eta: 0:00:03 time: 0.0453 data_time: 0.0021 memory: 1705 2022/11/02 00:52:27 - mmengine - INFO - Epoch(val) [280][420/500] eta: 0:00:04 time: 0.0574 data_time: 0.0022 memory: 2007 2022/11/02 00:52:27 - mmengine - INFO - Epoch(val) [280][425/500] eta: 0:00:04 time: 0.0602 data_time: 0.0021 memory: 1705 2022/11/02 00:52:27 - mmengine - INFO - Epoch(val) [280][430/500] eta: 0:00:03 time: 0.0506 data_time: 0.0020 memory: 2082 2022/11/02 00:52:28 - mmengine - INFO - Epoch(val) [280][435/500] eta: 0:00:03 time: 0.0459 data_time: 0.0021 memory: 1705 2022/11/02 00:52:28 - mmengine - INFO - Epoch(val) [280][440/500] eta: 0:00:02 time: 0.0426 data_time: 0.0020 memory: 1856 2022/11/02 00:52:28 - mmengine - INFO - Epoch(val) [280][445/500] eta: 0:00:02 time: 0.0491 data_time: 0.0022 memory: 2007 2022/11/02 00:52:28 - mmengine - INFO - Epoch(val) [280][450/500] eta: 0:00:02 time: 0.0506 data_time: 0.0023 memory: 1705 2022/11/02 00:52:29 - mmengine - INFO - Epoch(val) [280][455/500] eta: 0:00:02 time: 0.0492 data_time: 0.0021 memory: 2082 2022/11/02 00:52:29 - mmengine - INFO - Epoch(val) [280][460/500] eta: 0:00:01 time: 0.0472 data_time: 0.0018 memory: 1781 2022/11/02 00:52:29 - mmengine - INFO - Epoch(val) [280][465/500] eta: 0:00:01 time: 0.0393 data_time: 0.0021 memory: 1969 2022/11/02 00:52:29 - mmengine - INFO - Epoch(val) [280][470/500] eta: 0:00:01 time: 0.0390 data_time: 0.0022 memory: 1781 2022/11/02 00:52:30 - mmengine - INFO - Epoch(val) [280][475/500] eta: 0:00:01 time: 0.0458 data_time: 0.0019 memory: 2082 2022/11/02 00:52:30 - mmengine - INFO - Epoch(val) [280][480/500] eta: 0:00:01 time: 0.0511 data_time: 0.0022 memory: 2044 2022/11/02 00:52:30 - mmengine - INFO - Epoch(val) [280][485/500] eta: 0:00:01 time: 0.0440 data_time: 0.0019 memory: 1705 2022/11/02 00:52:30 - mmengine - INFO - Epoch(val) [280][490/500] eta: 0:00:00 time: 0.0366 data_time: 0.0017 memory: 1969 2022/11/02 00:52:30 - mmengine - INFO - Epoch(val) [280][495/500] eta: 0:00:00 time: 0.0420 data_time: 0.0018 memory: 2082 2022/11/02 00:52:31 - mmengine - INFO - Epoch(val) [280][500/500] eta: 0:00:00 time: 0.0433 data_time: 0.0019 memory: 1743 2022/11/02 00:52:31 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 00:52:31 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8179, precision: 0.4948, hmean: 0.6166 2022/11/02 00:52:31 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8179, precision: 0.4948, hmean: 0.6166 2022/11/02 00:52:31 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8179, precision: 0.4948, hmean: 0.6166 2022/11/02 00:52:31 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8179, precision: 0.5206, hmean: 0.6362 2022/11/02 00:52:31 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8176, precision: 0.6024, hmean: 0.6937 2022/11/02 00:52:31 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8159, precision: 0.7084, hmean: 0.7583 2022/11/02 00:52:31 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7977, precision: 0.7949, hmean: 0.7963 2022/11/02 00:52:31 - mmengine - INFO - Epoch(val) [280][500/500] icdar/precision: 0.7949 icdar/recall: 0.7977 icdar/hmean: 0.7963 2022/11/02 00:54:13 - mmengine - INFO - Epoch(train) [281][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 10.5514 data_time: 9.8356 memory: 27786 loss: 0.0625 loss_text: 0.0388 loss_kernel: 0.0237 2022/11/02 00:54:17 - mmengine - INFO - Epoch(train) [281][10/63] lr: 1.0000e-05 eta: 12:51:09 time: 10.5936 data_time: 9.8379 memory: 27786 loss: 0.0700 loss_text: 0.0444 loss_kernel: 0.0255 2022/11/02 00:54:20 - mmengine - INFO - Epoch(train) [281][15/63] lr: 1.0000e-05 eta: 12:51:09 time: 0.7607 data_time: 0.0115 memory: 27786 loss: 0.0548 loss_text: 0.0341 loss_kernel: 0.0207 2022/11/02 00:54:24 - mmengine - INFO - Epoch(train) [281][20/63] lr: 1.0000e-05 eta: 12:50:27 time: 0.7624 data_time: 0.0177 memory: 27786 loss: 0.0440 loss_text: 0.0263 loss_kernel: 0.0177 2022/11/02 00:54:28 - mmengine - INFO - Epoch(train) [281][25/63] lr: 1.0000e-05 eta: 12:50:27 time: 0.7875 data_time: 0.0303 memory: 27786 loss: 0.0515 loss_text: 0.0308 loss_kernel: 0.0207 2022/11/02 00:54:32 - mmengine - INFO - Epoch(train) [281][30/63] lr: 1.0000e-05 eta: 12:49:45 time: 0.7872 data_time: 0.0211 memory: 27786 loss: 0.0505 loss_text: 0.0301 loss_kernel: 0.0203 2022/11/02 00:54:36 - mmengine - INFO - Epoch(train) [281][35/63] lr: 1.0000e-05 eta: 12:49:45 time: 0.7850 data_time: 0.0210 memory: 27786 loss: 0.0442 loss_text: 0.0264 loss_kernel: 0.0178 2022/11/02 00:54:40 - mmengine - INFO - Epoch(train) [281][40/63] lr: 1.0000e-05 eta: 12:49:04 time: 0.7933 data_time: 0.0233 memory: 27786 loss: 0.0474 loss_text: 0.0282 loss_kernel: 0.0193 2022/11/02 00:54:44 - mmengine - INFO - Epoch(train) [281][45/63] lr: 1.0000e-05 eta: 12:49:04 time: 0.7920 data_time: 0.0213 memory: 27786 loss: 0.0461 loss_text: 0.0276 loss_kernel: 0.0185 2022/11/02 00:54:48 - mmengine - INFO - Epoch(train) [281][50/63] lr: 1.0000e-05 eta: 12:48:23 time: 0.8001 data_time: 0.0303 memory: 27786 loss: 0.0502 loss_text: 0.0306 loss_kernel: 0.0196 2022/11/02 00:54:52 - mmengine - INFO - Epoch(train) [281][55/63] lr: 1.0000e-05 eta: 12:48:23 time: 0.7894 data_time: 0.0225 memory: 27786 loss: 0.0540 loss_text: 0.0323 loss_kernel: 0.0217 2022/11/02 00:54:56 - mmengine - INFO - Epoch(train) [281][60/63] lr: 1.0000e-05 eta: 12:47:41 time: 0.7748 data_time: 0.0156 memory: 27786 loss: 0.0487 loss_text: 0.0283 loss_kernel: 0.0204 2022/11/02 00:54:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:56:38 - mmengine - INFO - Epoch(train) [282][5/63] lr: 1.0000e-05 eta: 12:47:41 time: 10.3904 data_time: 9.6419 memory: 27786 loss: 0.0506 loss_text: 0.0300 loss_kernel: 0.0206 2022/11/02 00:56:42 - mmengine - INFO - Epoch(train) [282][10/63] lr: 1.0000e-05 eta: 12:48:43 time: 10.4327 data_time: 9.6544 memory: 27786 loss: 0.0490 loss_text: 0.0295 loss_kernel: 0.0195 2022/11/02 00:56:46 - mmengine - INFO - Epoch(train) [282][15/63] lr: 1.0000e-05 eta: 12:48:43 time: 0.8017 data_time: 0.0294 memory: 27786 loss: 0.0495 loss_text: 0.0289 loss_kernel: 0.0206 2022/11/02 00:56:50 - mmengine - INFO - Epoch(train) [282][20/63] lr: 1.0000e-05 eta: 12:48:01 time: 0.7998 data_time: 0.0316 memory: 27786 loss: 0.0485 loss_text: 0.0284 loss_kernel: 0.0202 2022/11/02 00:56:54 - mmengine - INFO - Epoch(train) [282][25/63] lr: 1.0000e-05 eta: 12:48:01 time: 0.7923 data_time: 0.0315 memory: 27786 loss: 0.0585 loss_text: 0.0359 loss_kernel: 0.0226 2022/11/02 00:56:58 - mmengine - INFO - Epoch(train) [282][30/63] lr: 1.0000e-05 eta: 12:47:20 time: 0.7809 data_time: 0.0230 memory: 27786 loss: 0.0652 loss_text: 0.0407 loss_kernel: 0.0245 2022/11/02 00:57:02 - mmengine - INFO - Epoch(train) [282][35/63] lr: 1.0000e-05 eta: 12:47:20 time: 0.7840 data_time: 0.0215 memory: 27786 loss: 0.0540 loss_text: 0.0335 loss_kernel: 0.0204 2022/11/02 00:57:06 - mmengine - INFO - Epoch(train) [282][40/63] lr: 1.0000e-05 eta: 12:46:39 time: 0.7911 data_time: 0.0212 memory: 27786 loss: 0.0528 loss_text: 0.0328 loss_kernel: 0.0200 2022/11/02 00:57:10 - mmengine - INFO - Epoch(train) [282][45/63] lr: 1.0000e-05 eta: 12:46:39 time: 0.7938 data_time: 0.0295 memory: 27786 loss: 0.0493 loss_text: 0.0298 loss_kernel: 0.0195 2022/11/02 00:57:14 - mmengine - INFO - Epoch(train) [282][50/63] lr: 1.0000e-05 eta: 12:45:58 time: 0.8004 data_time: 0.0302 memory: 27786 loss: 0.0467 loss_text: 0.0285 loss_kernel: 0.0182 2022/11/02 00:57:18 - mmengine - INFO - Epoch(train) [282][55/63] lr: 1.0000e-05 eta: 12:45:58 time: 0.7856 data_time: 0.0225 memory: 27786 loss: 0.0470 loss_text: 0.0286 loss_kernel: 0.0184 2022/11/02 00:57:22 - mmengine - INFO - Epoch(train) [282][60/63] lr: 1.0000e-05 eta: 12:45:16 time: 0.7852 data_time: 0.0226 memory: 27786 loss: 0.0459 loss_text: 0.0276 loss_kernel: 0.0183 2022/11/02 00:57:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 00:59:03 - mmengine - INFO - Epoch(train) [283][5/63] lr: 1.0000e-05 eta: 12:45:16 time: 10.2754 data_time: 9.5373 memory: 27786 loss: 0.0591 loss_text: 0.0374 loss_kernel: 0.0217 2022/11/02 00:59:07 - mmengine - INFO - Epoch(train) [283][10/63] lr: 1.0000e-05 eta: 12:46:16 time: 10.3293 data_time: 9.5435 memory: 27786 loss: 0.0518 loss_text: 0.0319 loss_kernel: 0.0199 2022/11/02 00:59:11 - mmengine - INFO - Epoch(train) [283][15/63] lr: 1.0000e-05 eta: 12:46:16 time: 0.8016 data_time: 0.0225 memory: 27786 loss: 0.0443 loss_text: 0.0264 loss_kernel: 0.0179 2022/11/02 00:59:15 - mmengine - INFO - Epoch(train) [283][20/63] lr: 1.0000e-05 eta: 12:45:35 time: 0.7944 data_time: 0.0293 memory: 27786 loss: 0.0469 loss_text: 0.0282 loss_kernel: 0.0187 2022/11/02 00:59:19 - mmengine - INFO - Epoch(train) [283][25/63] lr: 1.0000e-05 eta: 12:45:35 time: 0.7962 data_time: 0.0324 memory: 27786 loss: 0.0627 loss_text: 0.0395 loss_kernel: 0.0232 2022/11/02 00:59:23 - mmengine - INFO - Epoch(train) [283][30/63] lr: 1.0000e-05 eta: 12:44:53 time: 0.7955 data_time: 0.0270 memory: 27786 loss: 0.0675 loss_text: 0.0421 loss_kernel: 0.0255 2022/11/02 00:59:27 - mmengine - INFO - Epoch(train) [283][35/63] lr: 1.0000e-05 eta: 12:44:53 time: 0.8006 data_time: 0.0217 memory: 27786 loss: 0.0490 loss_text: 0.0285 loss_kernel: 0.0204 2022/11/02 00:59:31 - mmengine - INFO - Epoch(train) [283][40/63] lr: 1.0000e-05 eta: 12:44:12 time: 0.7934 data_time: 0.0208 memory: 27786 loss: 0.0468 loss_text: 0.0267 loss_kernel: 0.0201 2022/11/02 00:59:35 - mmengine - INFO - Epoch(train) [283][45/63] lr: 1.0000e-05 eta: 12:44:12 time: 0.8069 data_time: 0.0308 memory: 27786 loss: 0.0478 loss_text: 0.0275 loss_kernel: 0.0203 2022/11/02 00:59:39 - mmengine - INFO - Epoch(train) [283][50/63] lr: 1.0000e-05 eta: 12:43:31 time: 0.7896 data_time: 0.0251 memory: 27786 loss: 0.0498 loss_text: 0.0303 loss_kernel: 0.0195 2022/11/02 00:59:43 - mmengine - INFO - Epoch(train) [283][55/63] lr: 1.0000e-05 eta: 12:43:31 time: 0.7632 data_time: 0.0190 memory: 27786 loss: 0.0520 loss_text: 0.0316 loss_kernel: 0.0204 2022/11/02 00:59:47 - mmengine - INFO - Epoch(train) [283][60/63] lr: 1.0000e-05 eta: 12:42:50 time: 0.7793 data_time: 0.0207 memory: 27786 loss: 0.0467 loss_text: 0.0273 loss_kernel: 0.0193 2022/11/02 00:59:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:01:30 - mmengine - INFO - Epoch(train) [284][5/63] lr: 1.0000e-05 eta: 12:42:50 time: 10.4386 data_time: 9.6912 memory: 27786 loss: 0.0460 loss_text: 0.0272 loss_kernel: 0.0189 2022/11/02 01:01:33 - mmengine - INFO - Epoch(train) [284][10/63] lr: 1.0000e-05 eta: 12:43:51 time: 10.4816 data_time: 9.7022 memory: 27786 loss: 0.0598 loss_text: 0.0365 loss_kernel: 0.0233 2022/11/02 01:01:37 - mmengine - INFO - Epoch(train) [284][15/63] lr: 1.0000e-05 eta: 12:43:51 time: 0.7762 data_time: 0.0231 memory: 27786 loss: 0.0637 loss_text: 0.0396 loss_kernel: 0.0241 2022/11/02 01:01:41 - mmengine - INFO - Epoch(train) [284][20/63] lr: 1.0000e-05 eta: 12:43:09 time: 0.7760 data_time: 0.0237 memory: 27786 loss: 0.0566 loss_text: 0.0355 loss_kernel: 0.0211 2022/11/02 01:01:45 - mmengine - INFO - Epoch(train) [284][25/63] lr: 1.0000e-05 eta: 12:43:09 time: 0.7988 data_time: 0.0318 memory: 27786 loss: 0.0501 loss_text: 0.0309 loss_kernel: 0.0192 2022/11/02 01:01:49 - mmengine - INFO - Epoch(train) [284][30/63] lr: 1.0000e-05 eta: 12:42:29 time: 0.8028 data_time: 0.0300 memory: 27786 loss: 0.0420 loss_text: 0.0242 loss_kernel: 0.0177 2022/11/02 01:01:53 - mmengine - INFO - Epoch(train) [284][35/63] lr: 1.0000e-05 eta: 12:42:29 time: 0.7957 data_time: 0.0344 memory: 27786 loss: 0.0482 loss_text: 0.0285 loss_kernel: 0.0197 2022/11/02 01:01:57 - mmengine - INFO - Epoch(train) [284][40/63] lr: 1.0000e-05 eta: 12:41:48 time: 0.7908 data_time: 0.0279 memory: 27786 loss: 0.0498 loss_text: 0.0297 loss_kernel: 0.0201 2022/11/02 01:02:01 - mmengine - INFO - Epoch(train) [284][45/63] lr: 1.0000e-05 eta: 12:41:48 time: 0.7896 data_time: 0.0208 memory: 27786 loss: 0.0449 loss_text: 0.0260 loss_kernel: 0.0190 2022/11/02 01:02:05 - mmengine - INFO - Epoch(train) [284][50/63] lr: 1.0000e-05 eta: 12:41:07 time: 0.7926 data_time: 0.0263 memory: 27786 loss: 0.0558 loss_text: 0.0339 loss_kernel: 0.0219 2022/11/02 01:02:09 - mmengine - INFO - Epoch(train) [284][55/63] lr: 1.0000e-05 eta: 12:41:07 time: 0.7925 data_time: 0.0222 memory: 27786 loss: 0.0564 loss_text: 0.0345 loss_kernel: 0.0218 2022/11/02 01:02:13 - mmengine - INFO - Epoch(train) [284][60/63] lr: 1.0000e-05 eta: 12:40:26 time: 0.7909 data_time: 0.0149 memory: 27786 loss: 0.0460 loss_text: 0.0271 loss_kernel: 0.0189 2022/11/02 01:02:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:03:54 - mmengine - INFO - Epoch(train) [285][5/63] lr: 1.0000e-05 eta: 12:40:26 time: 10.2770 data_time: 9.5300 memory: 27786 loss: 0.0544 loss_text: 0.0329 loss_kernel: 0.0216 2022/11/02 01:03:58 - mmengine - INFO - Epoch(train) [285][10/63] lr: 1.0000e-05 eta: 12:41:24 time: 10.3331 data_time: 9.5399 memory: 27786 loss: 0.0467 loss_text: 0.0269 loss_kernel: 0.0199 2022/11/02 01:04:02 - mmengine - INFO - Epoch(train) [285][15/63] lr: 1.0000e-05 eta: 12:41:24 time: 0.7960 data_time: 0.0267 memory: 27786 loss: 0.0437 loss_text: 0.0251 loss_kernel: 0.0187 2022/11/02 01:04:06 - mmengine - INFO - Epoch(train) [285][20/63] lr: 1.0000e-05 eta: 12:40:43 time: 0.7965 data_time: 0.0294 memory: 27786 loss: 0.0444 loss_text: 0.0265 loss_kernel: 0.0178 2022/11/02 01:04:10 - mmengine - INFO - Epoch(train) [285][25/63] lr: 1.0000e-05 eta: 12:40:43 time: 0.7828 data_time: 0.0221 memory: 27786 loss: 0.0491 loss_text: 0.0302 loss_kernel: 0.0190 2022/11/02 01:04:14 - mmengine - INFO - Epoch(train) [285][30/63] lr: 1.0000e-05 eta: 12:40:02 time: 0.7751 data_time: 0.0180 memory: 27786 loss: 0.0636 loss_text: 0.0389 loss_kernel: 0.0247 2022/11/02 01:04:18 - mmengine - INFO - Epoch(train) [285][35/63] lr: 1.0000e-05 eta: 12:40:02 time: 0.7886 data_time: 0.0299 memory: 27786 loss: 0.0595 loss_text: 0.0357 loss_kernel: 0.0238 2022/11/02 01:04:22 - mmengine - INFO - Epoch(train) [285][40/63] lr: 1.0000e-05 eta: 12:39:21 time: 0.7835 data_time: 0.0260 memory: 27786 loss: 0.0452 loss_text: 0.0260 loss_kernel: 0.0192 2022/11/02 01:04:26 - mmengine - INFO - Epoch(train) [285][45/63] lr: 1.0000e-05 eta: 12:39:21 time: 0.7784 data_time: 0.0229 memory: 27786 loss: 0.0445 loss_text: 0.0259 loss_kernel: 0.0186 2022/11/02 01:04:30 - mmengine - INFO - Epoch(train) [285][50/63] lr: 1.0000e-05 eta: 12:38:40 time: 0.7682 data_time: 0.0258 memory: 27786 loss: 0.0562 loss_text: 0.0342 loss_kernel: 0.0220 2022/11/02 01:04:34 - mmengine - INFO - Epoch(train) [285][55/63] lr: 1.0000e-05 eta: 12:38:40 time: 0.7640 data_time: 0.0226 memory: 27786 loss: 0.0609 loss_text: 0.0368 loss_kernel: 0.0241 2022/11/02 01:04:37 - mmengine - INFO - Epoch(train) [285][60/63] lr: 1.0000e-05 eta: 12:37:59 time: 0.7752 data_time: 0.0205 memory: 27786 loss: 0.0488 loss_text: 0.0289 loss_kernel: 0.0199 2022/11/02 01:04:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:06:21 - mmengine - INFO - Epoch(train) [286][5/63] lr: 1.0000e-05 eta: 12:37:59 time: 10.4970 data_time: 9.7613 memory: 27786 loss: 0.0622 loss_text: 0.0386 loss_kernel: 0.0236 2022/11/02 01:06:25 - mmengine - INFO - Epoch(train) [286][10/63] lr: 1.0000e-05 eta: 12:38:59 time: 10.5693 data_time: 9.7800 memory: 27786 loss: 0.0667 loss_text: 0.0418 loss_kernel: 0.0249 2022/11/02 01:06:29 - mmengine - INFO - Epoch(train) [286][15/63] lr: 1.0000e-05 eta: 12:38:59 time: 0.8092 data_time: 0.0310 memory: 27786 loss: 0.0479 loss_text: 0.0287 loss_kernel: 0.0192 2022/11/02 01:06:33 - mmengine - INFO - Epoch(train) [286][20/63] lr: 1.0000e-05 eta: 12:38:18 time: 0.7888 data_time: 0.0201 memory: 27786 loss: 0.0465 loss_text: 0.0279 loss_kernel: 0.0186 2022/11/02 01:06:37 - mmengine - INFO - Epoch(train) [286][25/63] lr: 1.0000e-05 eta: 12:38:18 time: 0.7935 data_time: 0.0305 memory: 27786 loss: 0.0535 loss_text: 0.0330 loss_kernel: 0.0205 2022/11/02 01:06:41 - mmengine - INFO - Epoch(train) [286][30/63] lr: 1.0000e-05 eta: 12:37:38 time: 0.7895 data_time: 0.0198 memory: 27786 loss: 0.0494 loss_text: 0.0297 loss_kernel: 0.0197 2022/11/02 01:06:45 - mmengine - INFO - Epoch(train) [286][35/63] lr: 1.0000e-05 eta: 12:37:38 time: 0.7861 data_time: 0.0192 memory: 27786 loss: 0.0486 loss_text: 0.0289 loss_kernel: 0.0197 2022/11/02 01:06:49 - mmengine - INFO - Epoch(train) [286][40/63] lr: 1.0000e-05 eta: 12:36:57 time: 0.7859 data_time: 0.0212 memory: 27786 loss: 0.0521 loss_text: 0.0310 loss_kernel: 0.0211 2022/11/02 01:06:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:06:53 - mmengine - INFO - Epoch(train) [286][45/63] lr: 1.0000e-05 eta: 12:36:57 time: 0.7887 data_time: 0.0180 memory: 27786 loss: 0.0516 loss_text: 0.0304 loss_kernel: 0.0211 2022/11/02 01:06:57 - mmengine - INFO - Epoch(train) [286][50/63] lr: 1.0000e-05 eta: 12:36:16 time: 0.8027 data_time: 0.0281 memory: 27786 loss: 0.0494 loss_text: 0.0295 loss_kernel: 0.0199 2022/11/02 01:07:01 - mmengine - INFO - Epoch(train) [286][55/63] lr: 1.0000e-05 eta: 12:36:16 time: 0.7906 data_time: 0.0211 memory: 27786 loss: 0.0498 loss_text: 0.0303 loss_kernel: 0.0195 2022/11/02 01:07:05 - mmengine - INFO - Epoch(train) [286][60/63] lr: 1.0000e-05 eta: 12:35:35 time: 0.7747 data_time: 0.0152 memory: 27786 loss: 0.0496 loss_text: 0.0300 loss_kernel: 0.0196 2022/11/02 01:07:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:08:46 - mmengine - INFO - Epoch(train) [287][5/63] lr: 1.0000e-05 eta: 12:35:35 time: 10.3213 data_time: 9.5841 memory: 27786 loss: 0.0443 loss_text: 0.0253 loss_kernel: 0.0190 2022/11/02 01:08:50 - mmengine - INFO - Epoch(train) [287][10/63] lr: 1.0000e-05 eta: 12:36:33 time: 10.3751 data_time: 9.5897 memory: 27786 loss: 0.0472 loss_text: 0.0274 loss_kernel: 0.0198 2022/11/02 01:08:54 - mmengine - INFO - Epoch(train) [287][15/63] lr: 1.0000e-05 eta: 12:36:33 time: 0.7968 data_time: 0.0288 memory: 27786 loss: 0.0451 loss_text: 0.0271 loss_kernel: 0.0180 2022/11/02 01:08:58 - mmengine - INFO - Epoch(train) [287][20/63] lr: 1.0000e-05 eta: 12:35:52 time: 0.8075 data_time: 0.0301 memory: 27786 loss: 0.0455 loss_text: 0.0272 loss_kernel: 0.0182 2022/11/02 01:09:02 - mmengine - INFO - Epoch(train) [287][25/63] lr: 1.0000e-05 eta: 12:35:52 time: 0.7969 data_time: 0.0200 memory: 27786 loss: 0.0450 loss_text: 0.0266 loss_kernel: 0.0184 2022/11/02 01:09:06 - mmengine - INFO - Epoch(train) [287][30/63] lr: 1.0000e-05 eta: 12:35:12 time: 0.7872 data_time: 0.0240 memory: 27786 loss: 0.0540 loss_text: 0.0328 loss_kernel: 0.0212 2022/11/02 01:09:10 - mmengine - INFO - Epoch(train) [287][35/63] lr: 1.0000e-05 eta: 12:35:12 time: 0.7926 data_time: 0.0220 memory: 27786 loss: 0.0673 loss_text: 0.0420 loss_kernel: 0.0252 2022/11/02 01:09:14 - mmengine - INFO - Epoch(train) [287][40/63] lr: 1.0000e-05 eta: 12:34:31 time: 0.7877 data_time: 0.0201 memory: 27786 loss: 0.0673 loss_text: 0.0421 loss_kernel: 0.0253 2022/11/02 01:09:18 - mmengine - INFO - Epoch(train) [287][45/63] lr: 1.0000e-05 eta: 12:34:31 time: 0.7916 data_time: 0.0252 memory: 27786 loss: 0.0691 loss_text: 0.0440 loss_kernel: 0.0250 2022/11/02 01:09:22 - mmengine - INFO - Epoch(train) [287][50/63] lr: 1.0000e-05 eta: 12:33:50 time: 0.7906 data_time: 0.0204 memory: 27786 loss: 0.0644 loss_text: 0.0412 loss_kernel: 0.0233 2022/11/02 01:09:26 - mmengine - INFO - Epoch(train) [287][55/63] lr: 1.0000e-05 eta: 12:33:50 time: 0.7896 data_time: 0.0247 memory: 27786 loss: 0.0573 loss_text: 0.0349 loss_kernel: 0.0224 2022/11/02 01:09:30 - mmengine - INFO - Epoch(train) [287][60/63] lr: 1.0000e-05 eta: 12:33:10 time: 0.8036 data_time: 0.0226 memory: 27786 loss: 0.0532 loss_text: 0.0318 loss_kernel: 0.0214 2022/11/02 01:09:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:11:13 - mmengine - INFO - Epoch(train) [288][5/63] lr: 1.0000e-05 eta: 12:33:10 time: 10.4077 data_time: 9.6775 memory: 27786 loss: 0.0509 loss_text: 0.0311 loss_kernel: 0.0199 2022/11/02 01:11:17 - mmengine - INFO - Epoch(train) [288][10/63] lr: 1.0000e-05 eta: 12:34:08 time: 10.4542 data_time: 9.6845 memory: 27786 loss: 0.0528 loss_text: 0.0321 loss_kernel: 0.0207 2022/11/02 01:11:21 - mmengine - INFO - Epoch(train) [288][15/63] lr: 1.0000e-05 eta: 12:34:08 time: 0.7845 data_time: 0.0255 memory: 27786 loss: 0.0498 loss_text: 0.0299 loss_kernel: 0.0198 2022/11/02 01:11:24 - mmengine - INFO - Epoch(train) [288][20/63] lr: 1.0000e-05 eta: 12:33:27 time: 0.7754 data_time: 0.0209 memory: 27786 loss: 0.0469 loss_text: 0.0282 loss_kernel: 0.0187 2022/11/02 01:11:28 - mmengine - INFO - Epoch(train) [288][25/63] lr: 1.0000e-05 eta: 12:33:27 time: 0.7929 data_time: 0.0248 memory: 27786 loss: 0.0476 loss_text: 0.0287 loss_kernel: 0.0189 2022/11/02 01:11:32 - mmengine - INFO - Epoch(train) [288][30/63] lr: 1.0000e-05 eta: 12:32:47 time: 0.8018 data_time: 0.0242 memory: 27786 loss: 0.0514 loss_text: 0.0307 loss_kernel: 0.0207 2022/11/02 01:11:36 - mmengine - INFO - Epoch(train) [288][35/63] lr: 1.0000e-05 eta: 12:32:47 time: 0.8008 data_time: 0.0189 memory: 27786 loss: 0.0525 loss_text: 0.0311 loss_kernel: 0.0214 2022/11/02 01:11:41 - mmengine - INFO - Epoch(train) [288][40/63] lr: 1.0000e-05 eta: 12:32:06 time: 0.8144 data_time: 0.0202 memory: 27786 loss: 0.0506 loss_text: 0.0304 loss_kernel: 0.0202 2022/11/02 01:11:45 - mmengine - INFO - Epoch(train) [288][45/63] lr: 1.0000e-05 eta: 12:32:06 time: 0.8067 data_time: 0.0272 memory: 27786 loss: 0.0490 loss_text: 0.0299 loss_kernel: 0.0191 2022/11/02 01:11:48 - mmengine - INFO - Epoch(train) [288][50/63] lr: 1.0000e-05 eta: 12:31:26 time: 0.7938 data_time: 0.0252 memory: 27786 loss: 0.0433 loss_text: 0.0255 loss_kernel: 0.0178 2022/11/02 01:11:52 - mmengine - INFO - Epoch(train) [288][55/63] lr: 1.0000e-05 eta: 12:31:26 time: 0.7775 data_time: 0.0191 memory: 27786 loss: 0.0439 loss_text: 0.0258 loss_kernel: 0.0182 2022/11/02 01:11:56 - mmengine - INFO - Epoch(train) [288][60/63] lr: 1.0000e-05 eta: 12:30:46 time: 0.7809 data_time: 0.0197 memory: 27786 loss: 0.0425 loss_text: 0.0250 loss_kernel: 0.0175 2022/11/02 01:11:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:13:39 - mmengine - INFO - Epoch(train) [289][5/63] lr: 1.0000e-05 eta: 12:30:46 time: 10.3798 data_time: 9.6472 memory: 27786 loss: 0.0589 loss_text: 0.0360 loss_kernel: 0.0228 2022/11/02 01:13:43 - mmengine - INFO - Epoch(train) [289][10/63] lr: 1.0000e-05 eta: 12:31:43 time: 10.4504 data_time: 9.6762 memory: 27786 loss: 0.0626 loss_text: 0.0392 loss_kernel: 0.0234 2022/11/02 01:13:47 - mmengine - INFO - Epoch(train) [289][15/63] lr: 1.0000e-05 eta: 12:31:43 time: 0.8084 data_time: 0.0397 memory: 27786 loss: 0.0583 loss_text: 0.0360 loss_kernel: 0.0223 2022/11/02 01:13:51 - mmengine - INFO - Epoch(train) [289][20/63] lr: 1.0000e-05 eta: 12:31:02 time: 0.7727 data_time: 0.0185 memory: 27786 loss: 0.0500 loss_text: 0.0300 loss_kernel: 0.0200 2022/11/02 01:13:55 - mmengine - INFO - Epoch(train) [289][25/63] lr: 1.0000e-05 eta: 12:31:02 time: 0.7900 data_time: 0.0312 memory: 27786 loss: 0.0426 loss_text: 0.0252 loss_kernel: 0.0174 2022/11/02 01:13:58 - mmengine - INFO - Epoch(train) [289][30/63] lr: 1.0000e-05 eta: 12:30:22 time: 0.7882 data_time: 0.0197 memory: 27786 loss: 0.0498 loss_text: 0.0299 loss_kernel: 0.0200 2022/11/02 01:14:03 - mmengine - INFO - Epoch(train) [289][35/63] lr: 1.0000e-05 eta: 12:30:22 time: 0.8036 data_time: 0.0198 memory: 27786 loss: 0.0568 loss_text: 0.0353 loss_kernel: 0.0215 2022/11/02 01:14:06 - mmengine - INFO - Epoch(train) [289][40/63] lr: 1.0000e-05 eta: 12:29:41 time: 0.8004 data_time: 0.0226 memory: 27786 loss: 0.0604 loss_text: 0.0382 loss_kernel: 0.0222 2022/11/02 01:14:11 - mmengine - INFO - Epoch(train) [289][45/63] lr: 1.0000e-05 eta: 12:29:41 time: 0.7910 data_time: 0.0218 memory: 27786 loss: 0.0538 loss_text: 0.0330 loss_kernel: 0.0208 2022/11/02 01:14:14 - mmengine - INFO - Epoch(train) [289][50/63] lr: 1.0000e-05 eta: 12:29:01 time: 0.8022 data_time: 0.0342 memory: 27786 loss: 0.0482 loss_text: 0.0281 loss_kernel: 0.0201 2022/11/02 01:14:18 - mmengine - INFO - Epoch(train) [289][55/63] lr: 1.0000e-05 eta: 12:29:01 time: 0.7835 data_time: 0.0217 memory: 27786 loss: 0.0502 loss_text: 0.0285 loss_kernel: 0.0216 2022/11/02 01:14:22 - mmengine - INFO - Epoch(train) [289][60/63] lr: 1.0000e-05 eta: 12:28:21 time: 0.7789 data_time: 0.0149 memory: 27786 loss: 0.0475 loss_text: 0.0267 loss_kernel: 0.0208 2022/11/02 01:14:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:16:05 - mmengine - INFO - Epoch(train) [290][5/63] lr: 1.0000e-05 eta: 12:28:21 time: 10.4220 data_time: 9.6847 memory: 27786 loss: 0.0439 loss_text: 0.0249 loss_kernel: 0.0190 2022/11/02 01:16:09 - mmengine - INFO - Epoch(train) [290][10/63] lr: 1.0000e-05 eta: 12:29:18 time: 10.4946 data_time: 9.7074 memory: 27786 loss: 0.0432 loss_text: 0.0248 loss_kernel: 0.0184 2022/11/02 01:16:13 - mmengine - INFO - Epoch(train) [290][15/63] lr: 1.0000e-05 eta: 12:29:18 time: 0.8020 data_time: 0.0285 memory: 27786 loss: 0.0516 loss_text: 0.0308 loss_kernel: 0.0208 2022/11/02 01:16:17 - mmengine - INFO - Epoch(train) [290][20/63] lr: 1.0000e-05 eta: 12:28:37 time: 0.7835 data_time: 0.0225 memory: 27786 loss: 0.0570 loss_text: 0.0348 loss_kernel: 0.0222 2022/11/02 01:16:21 - mmengine - INFO - Epoch(train) [290][25/63] lr: 1.0000e-05 eta: 12:28:37 time: 0.7838 data_time: 0.0333 memory: 27786 loss: 0.0568 loss_text: 0.0349 loss_kernel: 0.0220 2022/11/02 01:16:25 - mmengine - INFO - Epoch(train) [290][30/63] lr: 1.0000e-05 eta: 12:27:57 time: 0.7816 data_time: 0.0189 memory: 27786 loss: 0.0517 loss_text: 0.0309 loss_kernel: 0.0209 2022/11/02 01:16:29 - mmengine - INFO - Epoch(train) [290][35/63] lr: 1.0000e-05 eta: 12:27:57 time: 0.8039 data_time: 0.0352 memory: 27786 loss: 0.0485 loss_text: 0.0287 loss_kernel: 0.0198 2022/11/02 01:16:33 - mmengine - INFO - Epoch(train) [290][40/63] lr: 1.0000e-05 eta: 12:27:17 time: 0.8097 data_time: 0.0374 memory: 27786 loss: 0.0537 loss_text: 0.0324 loss_kernel: 0.0213 2022/11/02 01:16:37 - mmengine - INFO - Epoch(train) [290][45/63] lr: 1.0000e-05 eta: 12:27:17 time: 0.8026 data_time: 0.0206 memory: 27786 loss: 0.0503 loss_text: 0.0300 loss_kernel: 0.0204 2022/11/02 01:16:41 - mmengine - INFO - Epoch(train) [290][50/63] lr: 1.0000e-05 eta: 12:26:37 time: 0.8053 data_time: 0.0310 memory: 27786 loss: 0.0514 loss_text: 0.0301 loss_kernel: 0.0214 2022/11/02 01:16:45 - mmengine - INFO - Epoch(train) [290][55/63] lr: 1.0000e-05 eta: 12:26:37 time: 0.7943 data_time: 0.0234 memory: 27786 loss: 0.0503 loss_text: 0.0302 loss_kernel: 0.0201 2022/11/02 01:16:49 - mmengine - INFO - Epoch(train) [290][60/63] lr: 1.0000e-05 eta: 12:25:57 time: 0.7977 data_time: 0.0186 memory: 27786 loss: 0.0438 loss_text: 0.0261 loss_kernel: 0.0177 2022/11/02 01:16:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:18:31 - mmengine - INFO - Epoch(train) [291][5/63] lr: 1.0000e-05 eta: 12:25:57 time: 10.3089 data_time: 9.5734 memory: 27786 loss: 0.0506 loss_text: 0.0314 loss_kernel: 0.0192 2022/11/02 01:18:35 - mmengine - INFO - Epoch(train) [291][10/63] lr: 1.0000e-05 eta: 12:26:52 time: 10.3741 data_time: 9.5882 memory: 27786 loss: 0.0578 loss_text: 0.0350 loss_kernel: 0.0228 2022/11/02 01:18:39 - mmengine - INFO - Epoch(train) [291][15/63] lr: 1.0000e-05 eta: 12:26:52 time: 0.8063 data_time: 0.0275 memory: 27786 loss: 0.0575 loss_text: 0.0342 loss_kernel: 0.0233 2022/11/02 01:18:43 - mmengine - INFO - Epoch(train) [291][20/63] lr: 1.0000e-05 eta: 12:26:12 time: 0.7878 data_time: 0.0194 memory: 27786 loss: 0.0501 loss_text: 0.0296 loss_kernel: 0.0205 2022/11/02 01:18:47 - mmengine - INFO - Epoch(train) [291][25/63] lr: 1.0000e-05 eta: 12:26:12 time: 0.7902 data_time: 0.0286 memory: 27786 loss: 0.0515 loss_text: 0.0305 loss_kernel: 0.0210 2022/11/02 01:18:51 - mmengine - INFO - Epoch(train) [291][30/63] lr: 1.0000e-05 eta: 12:25:31 time: 0.7892 data_time: 0.0286 memory: 27786 loss: 0.0702 loss_text: 0.0437 loss_kernel: 0.0266 2022/11/02 01:18:55 - mmengine - INFO - Epoch(train) [291][35/63] lr: 1.0000e-05 eta: 12:25:31 time: 0.7910 data_time: 0.0289 memory: 27786 loss: 0.0642 loss_text: 0.0397 loss_kernel: 0.0245 2022/11/02 01:18:58 - mmengine - INFO - Epoch(train) [291][40/63] lr: 1.0000e-05 eta: 12:24:51 time: 0.7785 data_time: 0.0246 memory: 27786 loss: 0.0553 loss_text: 0.0337 loss_kernel: 0.0216 2022/11/02 01:19:02 - mmengine - INFO - Epoch(train) [291][45/63] lr: 1.0000e-05 eta: 12:24:51 time: 0.7739 data_time: 0.0263 memory: 27786 loss: 0.0585 loss_text: 0.0362 loss_kernel: 0.0223 2022/11/02 01:19:06 - mmengine - INFO - Epoch(train) [291][50/63] lr: 1.0000e-05 eta: 12:24:11 time: 0.7902 data_time: 0.0299 memory: 27786 loss: 0.0484 loss_text: 0.0294 loss_kernel: 0.0191 2022/11/02 01:19:10 - mmengine - INFO - Epoch(train) [291][55/63] lr: 1.0000e-05 eta: 12:24:11 time: 0.7820 data_time: 0.0195 memory: 27786 loss: 0.0437 loss_text: 0.0260 loss_kernel: 0.0178 2022/11/02 01:19:14 - mmengine - INFO - Epoch(train) [291][60/63] lr: 1.0000e-05 eta: 12:23:31 time: 0.7831 data_time: 0.0163 memory: 27786 loss: 0.0441 loss_text: 0.0263 loss_kernel: 0.0178 2022/11/02 01:19:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:20:56 - mmengine - INFO - Epoch(train) [292][5/63] lr: 1.0000e-05 eta: 12:23:31 time: 10.3727 data_time: 9.6280 memory: 27786 loss: 0.0561 loss_text: 0.0342 loss_kernel: 0.0218 2022/11/02 01:21:00 - mmengine - INFO - Epoch(train) [292][10/63] lr: 1.0000e-05 eta: 12:24:26 time: 10.4208 data_time: 9.6397 memory: 27786 loss: 0.0520 loss_text: 0.0312 loss_kernel: 0.0208 2022/11/02 01:21:04 - mmengine - INFO - Epoch(train) [292][15/63] lr: 1.0000e-05 eta: 12:24:26 time: 0.7929 data_time: 0.0219 memory: 27786 loss: 0.0542 loss_text: 0.0325 loss_kernel: 0.0217 2022/11/02 01:21:08 - mmengine - INFO - Epoch(train) [292][20/63] lr: 1.0000e-05 eta: 12:23:46 time: 0.7821 data_time: 0.0196 memory: 27786 loss: 0.0530 loss_text: 0.0317 loss_kernel: 0.0213 2022/11/02 01:21:12 - mmengine - INFO - Epoch(train) [292][25/63] lr: 1.0000e-05 eta: 12:23:46 time: 0.7908 data_time: 0.0205 memory: 27786 loss: 0.0433 loss_text: 0.0252 loss_kernel: 0.0182 2022/11/02 01:21:16 - mmengine - INFO - Epoch(train) [292][30/63] lr: 1.0000e-05 eta: 12:23:06 time: 0.7950 data_time: 0.0194 memory: 27786 loss: 0.0542 loss_text: 0.0331 loss_kernel: 0.0211 2022/11/02 01:21:20 - mmengine - INFO - Epoch(train) [292][35/63] lr: 1.0000e-05 eta: 12:23:06 time: 0.7908 data_time: 0.0303 memory: 27786 loss: 0.0590 loss_text: 0.0362 loss_kernel: 0.0227 2022/11/02 01:21:24 - mmengine - INFO - Epoch(train) [292][40/63] lr: 1.0000e-05 eta: 12:22:26 time: 0.7884 data_time: 0.0217 memory: 27786 loss: 0.0569 loss_text: 0.0344 loss_kernel: 0.0224 2022/11/02 01:21:28 - mmengine - INFO - Epoch(train) [292][45/63] lr: 1.0000e-05 eta: 12:22:26 time: 0.7994 data_time: 0.0300 memory: 27786 loss: 0.0526 loss_text: 0.0316 loss_kernel: 0.0210 2022/11/02 01:21:32 - mmengine - INFO - Epoch(train) [292][50/63] lr: 1.0000e-05 eta: 12:21:46 time: 0.7901 data_time: 0.0350 memory: 27786 loss: 0.0434 loss_text: 0.0255 loss_kernel: 0.0179 2022/11/02 01:21:36 - mmengine - INFO - Epoch(train) [292][55/63] lr: 1.0000e-05 eta: 12:21:46 time: 0.7866 data_time: 0.0186 memory: 27786 loss: 0.0505 loss_text: 0.0305 loss_kernel: 0.0201 2022/11/02 01:21:40 - mmengine - INFO - Epoch(train) [292][60/63] lr: 1.0000e-05 eta: 12:21:06 time: 0.7792 data_time: 0.0188 memory: 27786 loss: 0.0554 loss_text: 0.0337 loss_kernel: 0.0217 2022/11/02 01:21:42 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:23:21 - mmengine - INFO - Epoch(train) [293][5/63] lr: 1.0000e-05 eta: 12:21:06 time: 10.2398 data_time: 9.5223 memory: 27786 loss: 0.0621 loss_text: 0.0381 loss_kernel: 0.0239 2022/11/02 01:23:25 - mmengine - INFO - Epoch(train) [293][10/63] lr: 1.0000e-05 eta: 12:21:59 time: 10.2991 data_time: 9.5322 memory: 27786 loss: 0.0565 loss_text: 0.0343 loss_kernel: 0.0223 2022/11/02 01:23:29 - mmengine - INFO - Epoch(train) [293][15/63] lr: 1.0000e-05 eta: 12:21:59 time: 0.7900 data_time: 0.0256 memory: 27786 loss: 0.0449 loss_text: 0.0262 loss_kernel: 0.0187 2022/11/02 01:23:33 - mmengine - INFO - Epoch(train) [293][20/63] lr: 1.0000e-05 eta: 12:21:19 time: 0.8018 data_time: 0.0340 memory: 27786 loss: 0.0511 loss_text: 0.0305 loss_kernel: 0.0206 2022/11/02 01:23:37 - mmengine - INFO - Epoch(train) [293][25/63] lr: 1.0000e-05 eta: 12:21:19 time: 0.7975 data_time: 0.0368 memory: 27786 loss: 0.0547 loss_text: 0.0337 loss_kernel: 0.0210 2022/11/02 01:23:40 - mmengine - INFO - Epoch(train) [293][30/63] lr: 1.0000e-05 eta: 12:20:39 time: 0.7733 data_time: 0.0267 memory: 27786 loss: 0.0484 loss_text: 0.0294 loss_kernel: 0.0190 2022/11/02 01:23:44 - mmengine - INFO - Epoch(train) [293][35/63] lr: 1.0000e-05 eta: 12:20:39 time: 0.7671 data_time: 0.0229 memory: 27786 loss: 0.0449 loss_text: 0.0257 loss_kernel: 0.0192 2022/11/02 01:23:48 - mmengine - INFO - Epoch(train) [293][40/63] lr: 1.0000e-05 eta: 12:19:59 time: 0.7774 data_time: 0.0181 memory: 27786 loss: 0.0451 loss_text: 0.0257 loss_kernel: 0.0194 2022/11/02 01:23:52 - mmengine - INFO - Epoch(train) [293][45/63] lr: 1.0000e-05 eta: 12:19:59 time: 0.7947 data_time: 0.0254 memory: 27786 loss: 0.0459 loss_text: 0.0273 loss_kernel: 0.0187 2022/11/02 01:23:56 - mmengine - INFO - Epoch(train) [293][50/63] lr: 1.0000e-05 eta: 12:19:19 time: 0.7766 data_time: 0.0262 memory: 27786 loss: 0.0599 loss_text: 0.0363 loss_kernel: 0.0236 2022/11/02 01:24:00 - mmengine - INFO - Epoch(train) [293][55/63] lr: 1.0000e-05 eta: 12:19:19 time: 0.7672 data_time: 0.0182 memory: 27786 loss: 0.0579 loss_text: 0.0345 loss_kernel: 0.0234 2022/11/02 01:24:04 - mmengine - INFO - Epoch(train) [293][60/63] lr: 1.0000e-05 eta: 12:18:39 time: 0.7612 data_time: 0.0160 memory: 27786 loss: 0.0438 loss_text: 0.0254 loss_kernel: 0.0184 2022/11/02 01:24:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:25:46 - mmengine - INFO - Epoch(train) [294][5/63] lr: 1.0000e-05 eta: 12:18:39 time: 10.3940 data_time: 9.6569 memory: 27786 loss: 0.0465 loss_text: 0.0263 loss_kernel: 0.0202 2022/11/02 01:25:50 - mmengine - INFO - Epoch(train) [294][10/63] lr: 1.0000e-05 eta: 12:19:33 time: 10.4415 data_time: 9.6667 memory: 27786 loss: 0.0516 loss_text: 0.0300 loss_kernel: 0.0216 2022/11/02 01:25:54 - mmengine - INFO - Epoch(train) [294][15/63] lr: 1.0000e-05 eta: 12:19:33 time: 0.7906 data_time: 0.0216 memory: 27786 loss: 0.0480 loss_text: 0.0288 loss_kernel: 0.0192 2022/11/02 01:25:58 - mmengine - INFO - Epoch(train) [294][20/63] lr: 1.0000e-05 eta: 12:18:53 time: 0.7758 data_time: 0.0144 memory: 27786 loss: 0.0430 loss_text: 0.0246 loss_kernel: 0.0185 2022/11/02 01:26:02 - mmengine - INFO - Epoch(train) [294][25/63] lr: 1.0000e-05 eta: 12:18:53 time: 0.7611 data_time: 0.0217 memory: 27786 loss: 0.0436 loss_text: 0.0245 loss_kernel: 0.0191 2022/11/02 01:26:06 - mmengine - INFO - Epoch(train) [294][30/63] lr: 1.0000e-05 eta: 12:18:13 time: 0.7698 data_time: 0.0259 memory: 27786 loss: 0.0445 loss_text: 0.0247 loss_kernel: 0.0197 2022/11/02 01:26:09 - mmengine - INFO - Epoch(train) [294][35/63] lr: 1.0000e-05 eta: 12:18:13 time: 0.7757 data_time: 0.0265 memory: 27786 loss: 0.0525 loss_text: 0.0310 loss_kernel: 0.0216 2022/11/02 01:26:13 - mmengine - INFO - Epoch(train) [294][40/63] lr: 1.0000e-05 eta: 12:17:33 time: 0.7831 data_time: 0.0238 memory: 27786 loss: 0.0598 loss_text: 0.0376 loss_kernel: 0.0222 2022/11/02 01:26:17 - mmengine - INFO - Epoch(train) [294][45/63] lr: 1.0000e-05 eta: 12:17:33 time: 0.7986 data_time: 0.0253 memory: 27786 loss: 0.0555 loss_text: 0.0343 loss_kernel: 0.0212 2022/11/02 01:26:21 - mmengine - INFO - Epoch(train) [294][50/63] lr: 1.0000e-05 eta: 12:16:53 time: 0.7952 data_time: 0.0273 memory: 27786 loss: 0.0511 loss_text: 0.0307 loss_kernel: 0.0204 2022/11/02 01:26:25 - mmengine - INFO - Epoch(train) [294][55/63] lr: 1.0000e-05 eta: 12:16:53 time: 0.7809 data_time: 0.0218 memory: 27786 loss: 0.0468 loss_text: 0.0281 loss_kernel: 0.0187 2022/11/02 01:26:29 - mmengine - INFO - Epoch(train) [294][60/63] lr: 1.0000e-05 eta: 12:16:13 time: 0.7715 data_time: 0.0164 memory: 27786 loss: 0.0433 loss_text: 0.0250 loss_kernel: 0.0183 2022/11/02 01:26:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:28:11 - mmengine - INFO - Epoch(train) [295][5/63] lr: 1.0000e-05 eta: 12:16:13 time: 10.3223 data_time: 9.5964 memory: 27786 loss: 0.0447 loss_text: 0.0264 loss_kernel: 0.0183 2022/11/02 01:28:15 - mmengine - INFO - Epoch(train) [295][10/63] lr: 1.0000e-05 eta: 12:17:06 time: 10.3805 data_time: 9.6129 memory: 27786 loss: 0.0457 loss_text: 0.0262 loss_kernel: 0.0195 2022/11/02 01:28:19 - mmengine - INFO - Epoch(train) [295][15/63] lr: 1.0000e-05 eta: 12:17:06 time: 0.7806 data_time: 0.0276 memory: 27786 loss: 0.0436 loss_text: 0.0255 loss_kernel: 0.0181 2022/11/02 01:28:23 - mmengine - INFO - Epoch(train) [295][20/63] lr: 1.0000e-05 eta: 12:16:26 time: 0.7802 data_time: 0.0204 memory: 27786 loss: 0.0481 loss_text: 0.0293 loss_kernel: 0.0188 2022/11/02 01:28:27 - mmengine - INFO - Epoch(train) [295][25/63] lr: 1.0000e-05 eta: 12:16:26 time: 0.8024 data_time: 0.0316 memory: 27786 loss: 0.0592 loss_text: 0.0367 loss_kernel: 0.0225 2022/11/02 01:28:31 - mmengine - INFO - Epoch(train) [295][30/63] lr: 1.0000e-05 eta: 12:15:46 time: 0.7842 data_time: 0.0251 memory: 27786 loss: 0.0614 loss_text: 0.0384 loss_kernel: 0.0230 2022/11/02 01:28:35 - mmengine - INFO - Epoch(train) [295][35/63] lr: 1.0000e-05 eta: 12:15:46 time: 0.7869 data_time: 0.0250 memory: 27786 loss: 0.0497 loss_text: 0.0302 loss_kernel: 0.0195 2022/11/02 01:28:38 - mmengine - INFO - Epoch(train) [295][40/63] lr: 1.0000e-05 eta: 12:15:07 time: 0.7836 data_time: 0.0209 memory: 27786 loss: 0.0424 loss_text: 0.0248 loss_kernel: 0.0176 2022/11/02 01:28:42 - mmengine - INFO - Epoch(train) [295][45/63] lr: 1.0000e-05 eta: 12:15:07 time: 0.7791 data_time: 0.0198 memory: 27786 loss: 0.0424 loss_text: 0.0245 loss_kernel: 0.0179 2022/11/02 01:28:46 - mmengine - INFO - Epoch(train) [295][50/63] lr: 1.0000e-05 eta: 12:14:27 time: 0.8042 data_time: 0.0456 memory: 27786 loss: 0.0717 loss_text: 0.0456 loss_kernel: 0.0261 2022/11/02 01:28:50 - mmengine - INFO - Epoch(train) [295][55/63] lr: 1.0000e-05 eta: 12:14:27 time: 0.7868 data_time: 0.0352 memory: 27786 loss: 0.0799 loss_text: 0.0511 loss_kernel: 0.0287 2022/11/02 01:28:54 - mmengine - INFO - Epoch(train) [295][60/63] lr: 1.0000e-05 eta: 12:13:47 time: 0.7773 data_time: 0.0144 memory: 27786 loss: 0.0624 loss_text: 0.0386 loss_kernel: 0.0239 2022/11/02 01:28:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:30:36 - mmengine - INFO - Epoch(train) [296][5/63] lr: 1.0000e-05 eta: 12:13:47 time: 10.3625 data_time: 9.6266 memory: 27786 loss: 0.0510 loss_text: 0.0303 loss_kernel: 0.0207 2022/11/02 01:30:40 - mmengine - INFO - Epoch(train) [296][10/63] lr: 1.0000e-05 eta: 12:14:40 time: 10.4202 data_time: 9.6373 memory: 27786 loss: 0.0565 loss_text: 0.0345 loss_kernel: 0.0220 2022/11/02 01:30:44 - mmengine - INFO - Epoch(train) [296][15/63] lr: 1.0000e-05 eta: 12:14:40 time: 0.7887 data_time: 0.0292 memory: 27786 loss: 0.0573 loss_text: 0.0351 loss_kernel: 0.0223 2022/11/02 01:30:48 - mmengine - INFO - Epoch(train) [296][20/63] lr: 1.0000e-05 eta: 12:14:00 time: 0.7851 data_time: 0.0337 memory: 27786 loss: 0.0551 loss_text: 0.0337 loss_kernel: 0.0214 2022/11/02 01:30:52 - mmengine - INFO - Epoch(train) [296][25/63] lr: 1.0000e-05 eta: 12:14:00 time: 0.7911 data_time: 0.0294 memory: 27786 loss: 0.0510 loss_text: 0.0312 loss_kernel: 0.0198 2022/11/02 01:30:56 - mmengine - INFO - Epoch(train) [296][30/63] lr: 1.0000e-05 eta: 12:13:21 time: 0.7831 data_time: 0.0237 memory: 27786 loss: 0.0481 loss_text: 0.0289 loss_kernel: 0.0192 2022/11/02 01:31:00 - mmengine - INFO - Epoch(train) [296][35/63] lr: 1.0000e-05 eta: 12:13:21 time: 0.8138 data_time: 0.0306 memory: 27786 loss: 0.0480 loss_text: 0.0291 loss_kernel: 0.0189 2022/11/02 01:31:04 - mmengine - INFO - Epoch(train) [296][40/63] lr: 1.0000e-05 eta: 12:12:42 time: 0.8170 data_time: 0.0203 memory: 27786 loss: 0.0469 loss_text: 0.0285 loss_kernel: 0.0183 2022/11/02 01:31:08 - mmengine - INFO - Epoch(train) [296][45/63] lr: 1.0000e-05 eta: 12:12:42 time: 0.7986 data_time: 0.0204 memory: 27786 loss: 0.0526 loss_text: 0.0319 loss_kernel: 0.0207 2022/11/02 01:31:12 - mmengine - INFO - Epoch(train) [296][50/63] lr: 1.0000e-05 eta: 12:12:02 time: 0.7945 data_time: 0.0264 memory: 27786 loss: 0.0507 loss_text: 0.0309 loss_kernel: 0.0198 2022/11/02 01:31:16 - mmengine - INFO - Epoch(train) [296][55/63] lr: 1.0000e-05 eta: 12:12:02 time: 0.7813 data_time: 0.0196 memory: 27786 loss: 0.0406 loss_text: 0.0243 loss_kernel: 0.0163 2022/11/02 01:31:20 - mmengine - INFO - Epoch(train) [296][60/63] lr: 1.0000e-05 eta: 12:11:23 time: 0.7907 data_time: 0.0205 memory: 27786 loss: 0.0417 loss_text: 0.0244 loss_kernel: 0.0173 2022/11/02 01:31:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:33:01 - mmengine - INFO - Epoch(train) [297][5/63] lr: 1.0000e-05 eta: 12:11:23 time: 10.2782 data_time: 9.5287 memory: 27786 loss: 0.0545 loss_text: 0.0315 loss_kernel: 0.0230 2022/11/02 01:33:05 - mmengine - INFO - Epoch(train) [297][10/63] lr: 1.0000e-05 eta: 12:12:14 time: 10.3335 data_time: 9.5435 memory: 27786 loss: 0.0603 loss_text: 0.0371 loss_kernel: 0.0232 2022/11/02 01:33:09 - mmengine - INFO - Epoch(train) [297][15/63] lr: 1.0000e-05 eta: 12:12:14 time: 0.7988 data_time: 0.0296 memory: 27786 loss: 0.0554 loss_text: 0.0336 loss_kernel: 0.0218 2022/11/02 01:33:13 - mmengine - INFO - Epoch(train) [297][20/63] lr: 1.0000e-05 eta: 12:11:34 time: 0.7770 data_time: 0.0199 memory: 27786 loss: 0.0519 loss_text: 0.0311 loss_kernel: 0.0208 2022/11/02 01:33:17 - mmengine - INFO - Epoch(train) [297][25/63] lr: 1.0000e-05 eta: 12:11:34 time: 0.7911 data_time: 0.0282 memory: 27786 loss: 0.0553 loss_text: 0.0343 loss_kernel: 0.0211 2022/11/02 01:33:21 - mmengine - INFO - Epoch(train) [297][30/63] lr: 1.0000e-05 eta: 12:10:55 time: 0.7997 data_time: 0.0243 memory: 27786 loss: 0.0508 loss_text: 0.0309 loss_kernel: 0.0199 2022/11/02 01:33:25 - mmengine - INFO - Epoch(train) [297][35/63] lr: 1.0000e-05 eta: 12:10:55 time: 0.7953 data_time: 0.0199 memory: 27786 loss: 0.0513 loss_text: 0.0306 loss_kernel: 0.0207 2022/11/02 01:33:29 - mmengine - INFO - Epoch(train) [297][40/63] lr: 1.0000e-05 eta: 12:10:15 time: 0.7976 data_time: 0.0210 memory: 27786 loss: 0.0626 loss_text: 0.0387 loss_kernel: 0.0239 2022/11/02 01:33:33 - mmengine - INFO - Epoch(train) [297][45/63] lr: 1.0000e-05 eta: 12:10:15 time: 0.7978 data_time: 0.0203 memory: 27786 loss: 0.0614 loss_text: 0.0384 loss_kernel: 0.0230 2022/11/02 01:33:37 - mmengine - INFO - Epoch(train) [297][50/63] lr: 1.0000e-05 eta: 12:09:36 time: 0.8018 data_time: 0.0292 memory: 27786 loss: 0.0467 loss_text: 0.0281 loss_kernel: 0.0186 2022/11/02 01:33:41 - mmengine - INFO - Epoch(train) [297][55/63] lr: 1.0000e-05 eta: 12:09:36 time: 0.7963 data_time: 0.0279 memory: 27786 loss: 0.0404 loss_text: 0.0228 loss_kernel: 0.0176 2022/11/02 01:33:45 - mmengine - INFO - Epoch(train) [297][60/63] lr: 1.0000e-05 eta: 12:08:57 time: 0.7808 data_time: 0.0195 memory: 27786 loss: 0.0476 loss_text: 0.0275 loss_kernel: 0.0200 2022/11/02 01:33:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:35:30 - mmengine - INFO - Epoch(train) [298][5/63] lr: 1.0000e-05 eta: 12:08:57 time: 10.6573 data_time: 9.9104 memory: 27786 loss: 0.0428 loss_text: 0.0252 loss_kernel: 0.0176 2022/11/02 01:35:34 - mmengine - INFO - Epoch(train) [298][10/63] lr: 1.0000e-05 eta: 12:09:52 time: 10.7383 data_time: 9.9291 memory: 27786 loss: 0.0564 loss_text: 0.0346 loss_kernel: 0.0218 2022/11/02 01:35:39 - mmengine - INFO - Epoch(train) [298][15/63] lr: 1.0000e-05 eta: 12:09:52 time: 0.8417 data_time: 0.0306 memory: 27786 loss: 0.0610 loss_text: 0.0379 loss_kernel: 0.0230 2022/11/02 01:35:43 - mmengine - INFO - Epoch(train) [298][20/63] lr: 1.0000e-05 eta: 12:09:13 time: 0.8196 data_time: 0.0180 memory: 27786 loss: 0.0481 loss_text: 0.0293 loss_kernel: 0.0188 2022/11/02 01:35:47 - mmengine - INFO - Epoch(train) [298][25/63] lr: 1.0000e-05 eta: 12:09:13 time: 0.8019 data_time: 0.0325 memory: 27786 loss: 0.0483 loss_text: 0.0292 loss_kernel: 0.0191 2022/11/02 01:35:51 - mmengine - INFO - Epoch(train) [298][30/63] lr: 1.0000e-05 eta: 12:08:33 time: 0.7868 data_time: 0.0244 memory: 27786 loss: 0.0513 loss_text: 0.0308 loss_kernel: 0.0205 2022/11/02 01:35:55 - mmengine - INFO - Epoch(train) [298][35/63] lr: 1.0000e-05 eta: 12:08:33 time: 0.7970 data_time: 0.0178 memory: 27786 loss: 0.0475 loss_text: 0.0279 loss_kernel: 0.0197 2022/11/02 01:35:58 - mmengine - INFO - Epoch(train) [298][40/63] lr: 1.0000e-05 eta: 12:07:54 time: 0.7816 data_time: 0.0223 memory: 27786 loss: 0.0542 loss_text: 0.0327 loss_kernel: 0.0216 2022/11/02 01:36:02 - mmengine - INFO - Epoch(train) [298][45/63] lr: 1.0000e-05 eta: 12:07:54 time: 0.7787 data_time: 0.0238 memory: 27786 loss: 0.0598 loss_text: 0.0368 loss_kernel: 0.0230 2022/11/02 01:36:06 - mmengine - INFO - Epoch(train) [298][50/63] lr: 1.0000e-05 eta: 12:07:15 time: 0.7989 data_time: 0.0275 memory: 27786 loss: 0.0618 loss_text: 0.0377 loss_kernel: 0.0241 2022/11/02 01:36:10 - mmengine - INFO - Epoch(train) [298][55/63] lr: 1.0000e-05 eta: 12:07:15 time: 0.7889 data_time: 0.0203 memory: 27786 loss: 0.0548 loss_text: 0.0330 loss_kernel: 0.0218 2022/11/02 01:36:14 - mmengine - INFO - Epoch(train) [298][60/63] lr: 1.0000e-05 eta: 12:06:35 time: 0.7784 data_time: 0.0167 memory: 27786 loss: 0.0440 loss_text: 0.0258 loss_kernel: 0.0182 2022/11/02 01:36:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:37:55 - mmengine - INFO - Epoch(train) [299][5/63] lr: 1.0000e-05 eta: 12:06:35 time: 10.2707 data_time: 9.5409 memory: 27786 loss: 0.0422 loss_text: 0.0248 loss_kernel: 0.0174 2022/11/02 01:37:59 - mmengine - INFO - Epoch(train) [299][10/63] lr: 1.0000e-05 eta: 12:07:25 time: 10.3314 data_time: 9.5558 memory: 27786 loss: 0.0512 loss_text: 0.0306 loss_kernel: 0.0206 2022/11/02 01:38:03 - mmengine - INFO - Epoch(train) [299][15/63] lr: 1.0000e-05 eta: 12:07:25 time: 0.7977 data_time: 0.0281 memory: 27786 loss: 0.0605 loss_text: 0.0371 loss_kernel: 0.0234 2022/11/02 01:38:07 - mmengine - INFO - Epoch(train) [299][20/63] lr: 1.0000e-05 eta: 12:06:46 time: 0.7932 data_time: 0.0282 memory: 27786 loss: 0.0512 loss_text: 0.0317 loss_kernel: 0.0195 2022/11/02 01:38:11 - mmengine - INFO - Epoch(train) [299][25/63] lr: 1.0000e-05 eta: 12:06:46 time: 0.7892 data_time: 0.0259 memory: 27786 loss: 0.0516 loss_text: 0.0321 loss_kernel: 0.0196 2022/11/02 01:38:15 - mmengine - INFO - Epoch(train) [299][30/63] lr: 1.0000e-05 eta: 12:06:07 time: 0.7896 data_time: 0.0173 memory: 27786 loss: 0.0591 loss_text: 0.0365 loss_kernel: 0.0226 2022/11/02 01:38:19 - mmengine - INFO - Epoch(train) [299][35/63] lr: 1.0000e-05 eta: 12:06:07 time: 0.7977 data_time: 0.0248 memory: 27786 loss: 0.0507 loss_text: 0.0302 loss_kernel: 0.0205 2022/11/02 01:38:23 - mmengine - INFO - Epoch(train) [299][40/63] lr: 1.0000e-05 eta: 12:05:28 time: 0.7915 data_time: 0.0215 memory: 27786 loss: 0.0506 loss_text: 0.0305 loss_kernel: 0.0200 2022/11/02 01:38:27 - mmengine - INFO - Epoch(train) [299][45/63] lr: 1.0000e-05 eta: 12:05:28 time: 0.7836 data_time: 0.0228 memory: 27786 loss: 0.0579 loss_text: 0.0357 loss_kernel: 0.0222 2022/11/02 01:38:31 - mmengine - INFO - Epoch(train) [299][50/63] lr: 1.0000e-05 eta: 12:04:49 time: 0.7862 data_time: 0.0260 memory: 27786 loss: 0.0579 loss_text: 0.0354 loss_kernel: 0.0225 2022/11/02 01:38:35 - mmengine - INFO - Epoch(train) [299][55/63] lr: 1.0000e-05 eta: 12:04:49 time: 0.7821 data_time: 0.0200 memory: 27786 loss: 0.0491 loss_text: 0.0289 loss_kernel: 0.0202 2022/11/02 01:38:39 - mmengine - INFO - Epoch(train) [299][60/63] lr: 1.0000e-05 eta: 12:04:09 time: 0.7777 data_time: 0.0207 memory: 27786 loss: 0.0572 loss_text: 0.0344 loss_kernel: 0.0228 2022/11/02 01:38:41 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:40:21 - mmengine - INFO - Epoch(train) [300][5/63] lr: 1.0000e-05 eta: 12:04:09 time: 10.3660 data_time: 9.6284 memory: 27786 loss: 0.0518 loss_text: 0.0307 loss_kernel: 0.0212 2022/11/02 01:40:25 - mmengine - INFO - Epoch(train) [300][10/63] lr: 1.0000e-05 eta: 12:05:00 time: 10.4281 data_time: 9.6545 memory: 27786 loss: 0.0441 loss_text: 0.0258 loss_kernel: 0.0183 2022/11/02 01:40:29 - mmengine - INFO - Epoch(train) [300][15/63] lr: 1.0000e-05 eta: 12:05:00 time: 0.7965 data_time: 0.0398 memory: 27786 loss: 0.0517 loss_text: 0.0318 loss_kernel: 0.0199 2022/11/02 01:40:33 - mmengine - INFO - Epoch(train) [300][20/63] lr: 1.0000e-05 eta: 12:04:20 time: 0.7769 data_time: 0.0173 memory: 27786 loss: 0.0520 loss_text: 0.0320 loss_kernel: 0.0200 2022/11/02 01:40:37 - mmengine - INFO - Epoch(train) [300][25/63] lr: 1.0000e-05 eta: 12:04:20 time: 0.7893 data_time: 0.0233 memory: 27786 loss: 0.0442 loss_text: 0.0266 loss_kernel: 0.0176 2022/11/02 01:40:41 - mmengine - INFO - Epoch(train) [300][30/63] lr: 1.0000e-05 eta: 12:03:41 time: 0.8026 data_time: 0.0315 memory: 27786 loss: 0.0428 loss_text: 0.0257 loss_kernel: 0.0171 2022/11/02 01:40:45 - mmengine - INFO - Epoch(train) [300][35/63] lr: 1.0000e-05 eta: 12:03:41 time: 0.8051 data_time: 0.0256 memory: 27786 loss: 0.0467 loss_text: 0.0270 loss_kernel: 0.0197 2022/11/02 01:40:49 - mmengine - INFO - Epoch(train) [300][40/63] lr: 1.0000e-05 eta: 12:03:03 time: 0.8100 data_time: 0.0200 memory: 27786 loss: 0.0550 loss_text: 0.0330 loss_kernel: 0.0220 2022/11/02 01:40:53 - mmengine - INFO - Epoch(train) [300][45/63] lr: 1.0000e-05 eta: 12:03:03 time: 0.8085 data_time: 0.0299 memory: 27786 loss: 0.0551 loss_text: 0.0334 loss_kernel: 0.0217 2022/11/02 01:40:57 - mmengine - INFO - Epoch(train) [300][50/63] lr: 1.0000e-05 eta: 12:02:24 time: 0.7927 data_time: 0.0263 memory: 27786 loss: 0.0475 loss_text: 0.0277 loss_kernel: 0.0198 2022/11/02 01:41:01 - mmengine - INFO - Epoch(train) [300][55/63] lr: 1.0000e-05 eta: 12:02:24 time: 0.7791 data_time: 0.0169 memory: 27786 loss: 0.0486 loss_text: 0.0298 loss_kernel: 0.0189 2022/11/02 01:41:05 - mmengine - INFO - Epoch(train) [300][60/63] lr: 1.0000e-05 eta: 12:01:45 time: 0.7918 data_time: 0.0201 memory: 27786 loss: 0.0504 loss_text: 0.0305 loss_kernel: 0.0199 2022/11/02 01:41:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:41:07 - mmengine - INFO - Saving checkpoint at 300 epochs 2022/11/02 01:42:51 - mmengine - INFO - Epoch(train) [301][5/63] lr: 1.0000e-05 eta: 12:01:45 time: 10.3132 data_time: 9.5532 memory: 27786 loss: 0.0552 loss_text: 0.0339 loss_kernel: 0.0213 2022/11/02 01:42:55 - mmengine - INFO - Epoch(train) [301][10/63] lr: 1.0000e-05 eta: 12:02:34 time: 10.3410 data_time: 9.5581 memory: 27786 loss: 0.0534 loss_text: 0.0327 loss_kernel: 0.0207 2022/11/02 01:42:59 - mmengine - INFO - Epoch(train) [301][15/63] lr: 1.0000e-05 eta: 12:02:34 time: 0.7825 data_time: 0.0257 memory: 27786 loss: 0.0473 loss_text: 0.0284 loss_kernel: 0.0189 2022/11/02 01:43:03 - mmengine - INFO - Epoch(train) [301][20/63] lr: 1.0000e-05 eta: 12:01:54 time: 0.7806 data_time: 0.0241 memory: 27786 loss: 0.0471 loss_text: 0.0286 loss_kernel: 0.0185 2022/11/02 01:43:07 - mmengine - INFO - Epoch(train) [301][25/63] lr: 1.0000e-05 eta: 12:01:54 time: 0.7848 data_time: 0.0245 memory: 27786 loss: 0.0480 loss_text: 0.0290 loss_kernel: 0.0190 2022/11/02 01:43:11 - mmengine - INFO - Epoch(train) [301][30/63] lr: 1.0000e-05 eta: 12:01:16 time: 0.7934 data_time: 0.0291 memory: 27786 loss: 0.0478 loss_text: 0.0283 loss_kernel: 0.0195 2022/11/02 01:43:15 - mmengine - INFO - Epoch(train) [301][35/63] lr: 1.0000e-05 eta: 12:01:16 time: 0.7968 data_time: 0.0220 memory: 27786 loss: 0.0546 loss_text: 0.0327 loss_kernel: 0.0219 2022/11/02 01:43:19 - mmengine - INFO - Epoch(train) [301][40/63] lr: 1.0000e-05 eta: 12:00:37 time: 0.7923 data_time: 0.0203 memory: 27786 loss: 0.0501 loss_text: 0.0304 loss_kernel: 0.0197 2022/11/02 01:43:23 - mmengine - INFO - Epoch(train) [301][45/63] lr: 1.0000e-05 eta: 12:00:37 time: 0.8075 data_time: 0.0356 memory: 27786 loss: 0.0471 loss_text: 0.0282 loss_kernel: 0.0189 2022/11/02 01:43:27 - mmengine - INFO - Epoch(train) [301][50/63] lr: 1.0000e-05 eta: 11:59:58 time: 0.7987 data_time: 0.0316 memory: 27786 loss: 0.0535 loss_text: 0.0328 loss_kernel: 0.0207 2022/11/02 01:43:31 - mmengine - INFO - Epoch(train) [301][55/63] lr: 1.0000e-05 eta: 11:59:58 time: 0.7840 data_time: 0.0175 memory: 27786 loss: 0.0515 loss_text: 0.0318 loss_kernel: 0.0197 2022/11/02 01:43:35 - mmengine - INFO - Epoch(train) [301][60/63] lr: 1.0000e-05 eta: 11:59:19 time: 0.7877 data_time: 0.0183 memory: 27786 loss: 0.0448 loss_text: 0.0261 loss_kernel: 0.0187 2022/11/02 01:43:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:45:19 - mmengine - INFO - Epoch(train) [302][5/63] lr: 1.0000e-05 eta: 11:59:19 time: 10.5184 data_time: 9.7742 memory: 27786 loss: 0.0414 loss_text: 0.0244 loss_kernel: 0.0171 2022/11/02 01:45:23 - mmengine - INFO - Epoch(train) [302][10/63] lr: 1.0000e-05 eta: 12:00:10 time: 10.5928 data_time: 9.7999 memory: 27786 loss: 0.0440 loss_text: 0.0264 loss_kernel: 0.0176 2022/11/02 01:45:27 - mmengine - INFO - Epoch(train) [302][15/63] lr: 1.0000e-05 eta: 12:00:10 time: 0.8188 data_time: 0.0365 memory: 27786 loss: 0.0442 loss_text: 0.0265 loss_kernel: 0.0177 2022/11/02 01:45:31 - mmengine - INFO - Epoch(train) [302][20/63] lr: 1.0000e-05 eta: 11:59:31 time: 0.7836 data_time: 0.0167 memory: 27786 loss: 0.0486 loss_text: 0.0293 loss_kernel: 0.0193 2022/11/02 01:45:35 - mmengine - INFO - Epoch(train) [302][25/63] lr: 1.0000e-05 eta: 11:59:31 time: 0.8046 data_time: 0.0294 memory: 27786 loss: 0.0552 loss_text: 0.0341 loss_kernel: 0.0211 2022/11/02 01:45:39 - mmengine - INFO - Epoch(train) [302][30/63] lr: 1.0000e-05 eta: 11:58:52 time: 0.7936 data_time: 0.0202 memory: 27786 loss: 0.0504 loss_text: 0.0310 loss_kernel: 0.0194 2022/11/02 01:45:43 - mmengine - INFO - Epoch(train) [302][35/63] lr: 1.0000e-05 eta: 11:58:52 time: 0.7870 data_time: 0.0197 memory: 27786 loss: 0.0427 loss_text: 0.0254 loss_kernel: 0.0174 2022/11/02 01:45:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:45:47 - mmengine - INFO - Epoch(train) [302][40/63] lr: 1.0000e-05 eta: 11:58:13 time: 0.7818 data_time: 0.0218 memory: 27786 loss: 0.0480 loss_text: 0.0287 loss_kernel: 0.0193 2022/11/02 01:45:50 - mmengine - INFO - Epoch(train) [302][45/63] lr: 1.0000e-05 eta: 11:58:13 time: 0.7730 data_time: 0.0183 memory: 27786 loss: 0.0557 loss_text: 0.0342 loss_kernel: 0.0215 2022/11/02 01:45:54 - mmengine - INFO - Epoch(train) [302][50/63] lr: 1.0000e-05 eta: 11:57:34 time: 0.7821 data_time: 0.0280 memory: 27786 loss: 0.0571 loss_text: 0.0350 loss_kernel: 0.0221 2022/11/02 01:45:58 - mmengine - INFO - Epoch(train) [302][55/63] lr: 1.0000e-05 eta: 11:57:34 time: 0.7738 data_time: 0.0210 memory: 27786 loss: 0.0495 loss_text: 0.0294 loss_kernel: 0.0201 2022/11/02 01:46:02 - mmengine - INFO - Epoch(train) [302][60/63] lr: 1.0000e-05 eta: 11:56:55 time: 0.7732 data_time: 0.0138 memory: 27786 loss: 0.0474 loss_text: 0.0280 loss_kernel: 0.0195 2022/11/02 01:46:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:47:44 - mmengine - INFO - Epoch(train) [303][5/63] lr: 1.0000e-05 eta: 11:56:55 time: 10.2866 data_time: 9.5507 memory: 27786 loss: 0.0443 loss_text: 0.0253 loss_kernel: 0.0190 2022/11/02 01:47:48 - mmengine - INFO - Epoch(train) [303][10/63] lr: 1.0000e-05 eta: 11:57:43 time: 10.3594 data_time: 9.5751 memory: 27786 loss: 0.0447 loss_text: 0.0258 loss_kernel: 0.0189 2022/11/02 01:47:52 - mmengine - INFO - Epoch(train) [303][15/63] lr: 1.0000e-05 eta: 11:57:43 time: 0.8074 data_time: 0.0415 memory: 27786 loss: 0.0455 loss_text: 0.0265 loss_kernel: 0.0190 2022/11/02 01:47:56 - mmengine - INFO - Epoch(train) [303][20/63] lr: 1.0000e-05 eta: 11:57:05 time: 0.7996 data_time: 0.0248 memory: 27786 loss: 0.0439 loss_text: 0.0257 loss_kernel: 0.0182 2022/11/02 01:48:00 - mmengine - INFO - Epoch(train) [303][25/63] lr: 1.0000e-05 eta: 11:57:05 time: 0.7966 data_time: 0.0233 memory: 27786 loss: 0.0460 loss_text: 0.0279 loss_kernel: 0.0181 2022/11/02 01:48:04 - mmengine - INFO - Epoch(train) [303][30/63] lr: 1.0000e-05 eta: 11:56:26 time: 0.7932 data_time: 0.0293 memory: 27786 loss: 0.0563 loss_text: 0.0351 loss_kernel: 0.0213 2022/11/02 01:48:08 - mmengine - INFO - Epoch(train) [303][35/63] lr: 1.0000e-05 eta: 11:56:26 time: 0.7974 data_time: 0.0332 memory: 27786 loss: 0.0601 loss_text: 0.0372 loss_kernel: 0.0229 2022/11/02 01:48:11 - mmengine - INFO - Epoch(train) [303][40/63] lr: 1.0000e-05 eta: 11:55:47 time: 0.7874 data_time: 0.0252 memory: 27786 loss: 0.0521 loss_text: 0.0317 loss_kernel: 0.0204 2022/11/02 01:48:16 - mmengine - INFO - Epoch(train) [303][45/63] lr: 1.0000e-05 eta: 11:55:47 time: 0.7971 data_time: 0.0182 memory: 27786 loss: 0.0443 loss_text: 0.0264 loss_kernel: 0.0179 2022/11/02 01:48:19 - mmengine - INFO - Epoch(train) [303][50/63] lr: 1.0000e-05 eta: 11:55:08 time: 0.7933 data_time: 0.0202 memory: 27786 loss: 0.0433 loss_text: 0.0261 loss_kernel: 0.0173 2022/11/02 01:48:23 - mmengine - INFO - Epoch(train) [303][55/63] lr: 1.0000e-05 eta: 11:55:08 time: 0.7800 data_time: 0.0265 memory: 27786 loss: 0.0439 loss_text: 0.0264 loss_kernel: 0.0175 2022/11/02 01:48:27 - mmengine - INFO - Epoch(train) [303][60/63] lr: 1.0000e-05 eta: 11:54:30 time: 0.7729 data_time: 0.0211 memory: 27786 loss: 0.0419 loss_text: 0.0244 loss_kernel: 0.0175 2022/11/02 01:48:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:50:10 - mmengine - INFO - Epoch(train) [304][5/63] lr: 1.0000e-05 eta: 11:54:30 time: 10.4290 data_time: 9.6430 memory: 27786 loss: 0.0402 loss_text: 0.0229 loss_kernel: 0.0173 2022/11/02 01:50:14 - mmengine - INFO - Epoch(train) [304][10/63] lr: 1.0000e-05 eta: 11:55:19 time: 10.4930 data_time: 9.6490 memory: 27786 loss: 0.0418 loss_text: 0.0237 loss_kernel: 0.0181 2022/11/02 01:50:18 - mmengine - INFO - Epoch(train) [304][15/63] lr: 1.0000e-05 eta: 11:55:19 time: 0.8160 data_time: 0.0258 memory: 27786 loss: 0.0447 loss_text: 0.0255 loss_kernel: 0.0192 2022/11/02 01:50:22 - mmengine - INFO - Epoch(train) [304][20/63] lr: 1.0000e-05 eta: 11:54:40 time: 0.8146 data_time: 0.0291 memory: 27786 loss: 0.0466 loss_text: 0.0275 loss_kernel: 0.0191 2022/11/02 01:50:27 - mmengine - INFO - Epoch(train) [304][25/63] lr: 1.0000e-05 eta: 11:54:40 time: 0.8396 data_time: 0.0274 memory: 27786 loss: 0.0450 loss_text: 0.0272 loss_kernel: 0.0178 2022/11/02 01:50:31 - mmengine - INFO - Epoch(train) [304][30/63] lr: 1.0000e-05 eta: 11:54:02 time: 0.8285 data_time: 0.0210 memory: 27786 loss: 0.0537 loss_text: 0.0331 loss_kernel: 0.0206 2022/11/02 01:50:35 - mmengine - INFO - Epoch(train) [304][35/63] lr: 1.0000e-05 eta: 11:54:02 time: 0.8078 data_time: 0.0261 memory: 27786 loss: 0.0550 loss_text: 0.0336 loss_kernel: 0.0214 2022/11/02 01:50:38 - mmengine - INFO - Epoch(train) [304][40/63] lr: 1.0000e-05 eta: 11:53:23 time: 0.7891 data_time: 0.0224 memory: 27786 loss: 0.0514 loss_text: 0.0306 loss_kernel: 0.0209 2022/11/02 01:50:42 - mmengine - INFO - Epoch(train) [304][45/63] lr: 1.0000e-05 eta: 11:53:23 time: 0.7753 data_time: 0.0231 memory: 27786 loss: 0.0498 loss_text: 0.0288 loss_kernel: 0.0210 2022/11/02 01:50:46 - mmengine - INFO - Epoch(train) [304][50/63] lr: 1.0000e-05 eta: 11:52:45 time: 0.7833 data_time: 0.0274 memory: 27786 loss: 0.0457 loss_text: 0.0261 loss_kernel: 0.0196 2022/11/02 01:50:50 - mmengine - INFO - Epoch(train) [304][55/63] lr: 1.0000e-05 eta: 11:52:45 time: 0.7819 data_time: 0.0211 memory: 27786 loss: 0.0453 loss_text: 0.0269 loss_kernel: 0.0184 2022/11/02 01:50:54 - mmengine - INFO - Epoch(train) [304][60/63] lr: 1.0000e-05 eta: 11:52:06 time: 0.7914 data_time: 0.0217 memory: 27786 loss: 0.0420 loss_text: 0.0249 loss_kernel: 0.0171 2022/11/02 01:50:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:52:37 - mmengine - INFO - Epoch(train) [305][5/63] lr: 1.0000e-05 eta: 11:52:06 time: 10.4455 data_time: 9.7068 memory: 27786 loss: 0.0469 loss_text: 0.0269 loss_kernel: 0.0201 2022/11/02 01:52:41 - mmengine - INFO - Epoch(train) [305][10/63] lr: 1.0000e-05 eta: 11:52:54 time: 10.4825 data_time: 9.7180 memory: 27786 loss: 0.0556 loss_text: 0.0337 loss_kernel: 0.0219 2022/11/02 01:52:45 - mmengine - INFO - Epoch(train) [305][15/63] lr: 1.0000e-05 eta: 11:52:54 time: 0.7834 data_time: 0.0216 memory: 27786 loss: 0.0519 loss_text: 0.0320 loss_kernel: 0.0199 2022/11/02 01:52:49 - mmengine - INFO - Epoch(train) [305][20/63] lr: 1.0000e-05 eta: 11:52:16 time: 0.7848 data_time: 0.0174 memory: 27786 loss: 0.0459 loss_text: 0.0274 loss_kernel: 0.0185 2022/11/02 01:52:53 - mmengine - INFO - Epoch(train) [305][25/63] lr: 1.0000e-05 eta: 11:52:16 time: 0.8054 data_time: 0.0354 memory: 27786 loss: 0.0442 loss_text: 0.0258 loss_kernel: 0.0184 2022/11/02 01:52:57 - mmengine - INFO - Epoch(train) [305][30/63] lr: 1.0000e-05 eta: 11:51:37 time: 0.8111 data_time: 0.0250 memory: 27786 loss: 0.0440 loss_text: 0.0254 loss_kernel: 0.0186 2022/11/02 01:53:01 - mmengine - INFO - Epoch(train) [305][35/63] lr: 1.0000e-05 eta: 11:51:37 time: 0.8022 data_time: 0.0191 memory: 27786 loss: 0.0476 loss_text: 0.0283 loss_kernel: 0.0193 2022/11/02 01:53:05 - mmengine - INFO - Epoch(train) [305][40/63] lr: 1.0000e-05 eta: 11:50:59 time: 0.7796 data_time: 0.0250 memory: 27786 loss: 0.0466 loss_text: 0.0281 loss_kernel: 0.0185 2022/11/02 01:53:09 - mmengine - INFO - Epoch(train) [305][45/63] lr: 1.0000e-05 eta: 11:50:59 time: 0.7722 data_time: 0.0204 memory: 27786 loss: 0.0481 loss_text: 0.0295 loss_kernel: 0.0186 2022/11/02 01:53:13 - mmengine - INFO - Epoch(train) [305][50/63] lr: 1.0000e-05 eta: 11:50:20 time: 0.7784 data_time: 0.0275 memory: 27786 loss: 0.0551 loss_text: 0.0345 loss_kernel: 0.0206 2022/11/02 01:53:17 - mmengine - INFO - Epoch(train) [305][55/63] lr: 1.0000e-05 eta: 11:50:20 time: 0.7725 data_time: 0.0254 memory: 27786 loss: 0.0596 loss_text: 0.0372 loss_kernel: 0.0224 2022/11/02 01:53:20 - mmengine - INFO - Epoch(train) [305][60/63] lr: 1.0000e-05 eta: 11:49:41 time: 0.7708 data_time: 0.0160 memory: 27786 loss: 0.0571 loss_text: 0.0355 loss_kernel: 0.0216 2022/11/02 01:53:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:55:02 - mmengine - INFO - Epoch(train) [306][5/63] lr: 1.0000e-05 eta: 11:49:41 time: 10.3221 data_time: 9.5811 memory: 27786 loss: 0.0511 loss_text: 0.0308 loss_kernel: 0.0203 2022/11/02 01:55:06 - mmengine - INFO - Epoch(train) [306][10/63] lr: 1.0000e-05 eta: 11:50:28 time: 10.3821 data_time: 9.5990 memory: 27786 loss: 0.0423 loss_text: 0.0249 loss_kernel: 0.0174 2022/11/02 01:55:10 - mmengine - INFO - Epoch(train) [306][15/63] lr: 1.0000e-05 eta: 11:50:28 time: 0.7989 data_time: 0.0257 memory: 27786 loss: 0.0486 loss_text: 0.0290 loss_kernel: 0.0197 2022/11/02 01:55:14 - mmengine - INFO - Epoch(train) [306][20/63] lr: 1.0000e-05 eta: 11:49:50 time: 0.7928 data_time: 0.0184 memory: 27786 loss: 0.0503 loss_text: 0.0298 loss_kernel: 0.0204 2022/11/02 01:55:18 - mmengine - INFO - Epoch(train) [306][25/63] lr: 1.0000e-05 eta: 11:49:50 time: 0.7885 data_time: 0.0254 memory: 27786 loss: 0.0543 loss_text: 0.0333 loss_kernel: 0.0210 2022/11/02 01:55:22 - mmengine - INFO - Epoch(train) [306][30/63] lr: 1.0000e-05 eta: 11:49:11 time: 0.7847 data_time: 0.0232 memory: 27786 loss: 0.0528 loss_text: 0.0322 loss_kernel: 0.0205 2022/11/02 01:55:26 - mmengine - INFO - Epoch(train) [306][35/63] lr: 1.0000e-05 eta: 11:49:11 time: 0.8027 data_time: 0.0335 memory: 27786 loss: 0.0516 loss_text: 0.0308 loss_kernel: 0.0209 2022/11/02 01:55:30 - mmengine - INFO - Epoch(train) [306][40/63] lr: 1.0000e-05 eta: 11:48:33 time: 0.8016 data_time: 0.0282 memory: 27786 loss: 0.0542 loss_text: 0.0322 loss_kernel: 0.0220 2022/11/02 01:55:34 - mmengine - INFO - Epoch(train) [306][45/63] lr: 1.0000e-05 eta: 11:48:33 time: 0.7884 data_time: 0.0184 memory: 27786 loss: 0.0520 loss_text: 0.0307 loss_kernel: 0.0213 2022/11/02 01:55:38 - mmengine - INFO - Epoch(train) [306][50/63] lr: 1.0000e-05 eta: 11:47:54 time: 0.7869 data_time: 0.0285 memory: 27786 loss: 0.0602 loss_text: 0.0373 loss_kernel: 0.0230 2022/11/02 01:55:42 - mmengine - INFO - Epoch(train) [306][55/63] lr: 1.0000e-05 eta: 11:47:54 time: 0.7816 data_time: 0.0270 memory: 27786 loss: 0.0594 loss_text: 0.0371 loss_kernel: 0.0223 2022/11/02 01:55:46 - mmengine - INFO - Epoch(train) [306][60/63] lr: 1.0000e-05 eta: 11:47:16 time: 0.7663 data_time: 0.0158 memory: 27786 loss: 0.0653 loss_text: 0.0405 loss_kernel: 0.0249 2022/11/02 01:55:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:57:28 - mmengine - INFO - Epoch(train) [307][5/63] lr: 1.0000e-05 eta: 11:47:16 time: 10.4102 data_time: 9.6758 memory: 27786 loss: 0.0561 loss_text: 0.0343 loss_kernel: 0.0218 2022/11/02 01:57:32 - mmengine - INFO - Epoch(train) [307][10/63] lr: 1.0000e-05 eta: 11:48:03 time: 10.4746 data_time: 9.6943 memory: 27786 loss: 0.0489 loss_text: 0.0296 loss_kernel: 0.0193 2022/11/02 01:57:36 - mmengine - INFO - Epoch(train) [307][15/63] lr: 1.0000e-05 eta: 11:48:03 time: 0.8033 data_time: 0.0277 memory: 27786 loss: 0.0629 loss_text: 0.0391 loss_kernel: 0.0238 2022/11/02 01:57:41 - mmengine - INFO - Epoch(train) [307][20/63] lr: 1.0000e-05 eta: 11:47:25 time: 0.8106 data_time: 0.0205 memory: 27786 loss: 0.0625 loss_text: 0.0392 loss_kernel: 0.0233 2022/11/02 01:57:45 - mmengine - INFO - Epoch(train) [307][25/63] lr: 1.0000e-05 eta: 11:47:25 time: 0.8316 data_time: 0.0325 memory: 27786 loss: 0.0484 loss_text: 0.0285 loss_kernel: 0.0199 2022/11/02 01:57:49 - mmengine - INFO - Epoch(train) [307][30/63] lr: 1.0000e-05 eta: 11:46:47 time: 0.8006 data_time: 0.0228 memory: 27786 loss: 0.0518 loss_text: 0.0307 loss_kernel: 0.0212 2022/11/02 01:57:52 - mmengine - INFO - Epoch(train) [307][35/63] lr: 1.0000e-05 eta: 11:46:47 time: 0.7751 data_time: 0.0206 memory: 27786 loss: 0.0555 loss_text: 0.0338 loss_kernel: 0.0217 2022/11/02 01:57:56 - mmengine - INFO - Epoch(train) [307][40/63] lr: 1.0000e-05 eta: 11:46:08 time: 0.7880 data_time: 0.0238 memory: 27786 loss: 0.0571 loss_text: 0.0349 loss_kernel: 0.0222 2022/11/02 01:58:00 - mmengine - INFO - Epoch(train) [307][45/63] lr: 1.0000e-05 eta: 11:46:08 time: 0.7985 data_time: 0.0217 memory: 27786 loss: 0.0541 loss_text: 0.0325 loss_kernel: 0.0216 2022/11/02 01:58:04 - mmengine - INFO - Epoch(train) [307][50/63] lr: 1.0000e-05 eta: 11:45:30 time: 0.8069 data_time: 0.0297 memory: 27786 loss: 0.0541 loss_text: 0.0326 loss_kernel: 0.0215 2022/11/02 01:58:08 - mmengine - INFO - Epoch(train) [307][55/63] lr: 1.0000e-05 eta: 11:45:30 time: 0.7989 data_time: 0.0253 memory: 27786 loss: 0.0572 loss_text: 0.0356 loss_kernel: 0.0216 2022/11/02 01:58:12 - mmengine - INFO - Epoch(train) [307][60/63] lr: 1.0000e-05 eta: 11:44:52 time: 0.7879 data_time: 0.0165 memory: 27786 loss: 0.0618 loss_text: 0.0378 loss_kernel: 0.0240 2022/11/02 01:58:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 01:59:54 - mmengine - INFO - Epoch(train) [308][5/63] lr: 1.0000e-05 eta: 11:44:52 time: 10.3182 data_time: 9.5717 memory: 27786 loss: 0.0683 loss_text: 0.0426 loss_kernel: 0.0257 2022/11/02 01:59:58 - mmengine - INFO - Epoch(train) [308][10/63] lr: 1.0000e-05 eta: 11:45:37 time: 10.3532 data_time: 9.5825 memory: 27786 loss: 0.0612 loss_text: 0.0377 loss_kernel: 0.0235 2022/11/02 02:00:02 - mmengine - INFO - Epoch(train) [308][15/63] lr: 1.0000e-05 eta: 11:45:37 time: 0.7931 data_time: 0.0282 memory: 27786 loss: 0.0575 loss_text: 0.0353 loss_kernel: 0.0222 2022/11/02 02:00:06 - mmengine - INFO - Epoch(train) [308][20/63] lr: 1.0000e-05 eta: 11:44:59 time: 0.7935 data_time: 0.0240 memory: 27786 loss: 0.0702 loss_text: 0.0444 loss_kernel: 0.0258 2022/11/02 02:00:10 - mmengine - INFO - Epoch(train) [308][25/63] lr: 1.0000e-05 eta: 11:44:59 time: 0.7859 data_time: 0.0249 memory: 27786 loss: 0.0525 loss_text: 0.0324 loss_kernel: 0.0201 2022/11/02 02:00:14 - mmengine - INFO - Epoch(train) [308][30/63] lr: 1.0000e-05 eta: 11:44:21 time: 0.7922 data_time: 0.0298 memory: 27786 loss: 0.0408 loss_text: 0.0242 loss_kernel: 0.0166 2022/11/02 02:00:18 - mmengine - INFO - Epoch(train) [308][35/63] lr: 1.0000e-05 eta: 11:44:21 time: 0.7949 data_time: 0.0286 memory: 27786 loss: 0.0429 loss_text: 0.0252 loss_kernel: 0.0177 2022/11/02 02:00:22 - mmengine - INFO - Epoch(train) [308][40/63] lr: 1.0000e-05 eta: 11:43:43 time: 0.7962 data_time: 0.0229 memory: 27786 loss: 0.0443 loss_text: 0.0259 loss_kernel: 0.0184 2022/11/02 02:00:26 - mmengine - INFO - Epoch(train) [308][45/63] lr: 1.0000e-05 eta: 11:43:43 time: 0.8010 data_time: 0.0281 memory: 27786 loss: 0.0481 loss_text: 0.0292 loss_kernel: 0.0189 2022/11/02 02:00:30 - mmengine - INFO - Epoch(train) [308][50/63] lr: 1.0000e-05 eta: 11:43:05 time: 0.8006 data_time: 0.0262 memory: 27786 loss: 0.0494 loss_text: 0.0301 loss_kernel: 0.0192 2022/11/02 02:00:34 - mmengine - INFO - Epoch(train) [308][55/63] lr: 1.0000e-05 eta: 11:43:05 time: 0.7875 data_time: 0.0191 memory: 27786 loss: 0.0445 loss_text: 0.0260 loss_kernel: 0.0185 2022/11/02 02:00:38 - mmengine - INFO - Epoch(train) [308][60/63] lr: 1.0000e-05 eta: 11:42:26 time: 0.7712 data_time: 0.0181 memory: 27786 loss: 0.0445 loss_text: 0.0257 loss_kernel: 0.0188 2022/11/02 02:00:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:02:19 - mmengine - INFO - Epoch(train) [309][5/63] lr: 1.0000e-05 eta: 11:42:26 time: 10.2548 data_time: 9.5185 memory: 27786 loss: 0.0421 loss_text: 0.0241 loss_kernel: 0.0180 2022/11/02 02:02:23 - mmengine - INFO - Epoch(train) [309][10/63] lr: 1.0000e-05 eta: 11:43:11 time: 10.3188 data_time: 9.5251 memory: 27786 loss: 0.0453 loss_text: 0.0263 loss_kernel: 0.0190 2022/11/02 02:02:27 - mmengine - INFO - Epoch(train) [309][15/63] lr: 1.0000e-05 eta: 11:43:11 time: 0.8010 data_time: 0.0268 memory: 27786 loss: 0.0475 loss_text: 0.0277 loss_kernel: 0.0198 2022/11/02 02:02:31 - mmengine - INFO - Epoch(train) [309][20/63] lr: 1.0000e-05 eta: 11:42:33 time: 0.7949 data_time: 0.0261 memory: 27786 loss: 0.0519 loss_text: 0.0319 loss_kernel: 0.0200 2022/11/02 02:02:35 - mmengine - INFO - Epoch(train) [309][25/63] lr: 1.0000e-05 eta: 11:42:33 time: 0.7994 data_time: 0.0216 memory: 27786 loss: 0.0568 loss_text: 0.0348 loss_kernel: 0.0219 2022/11/02 02:02:39 - mmengine - INFO - Epoch(train) [309][30/63] lr: 1.0000e-05 eta: 11:41:55 time: 0.7878 data_time: 0.0228 memory: 27786 loss: 0.0534 loss_text: 0.0323 loss_kernel: 0.0211 2022/11/02 02:02:43 - mmengine - INFO - Epoch(train) [309][35/63] lr: 1.0000e-05 eta: 11:41:55 time: 0.7878 data_time: 0.0263 memory: 27786 loss: 0.0473 loss_text: 0.0292 loss_kernel: 0.0182 2022/11/02 02:02:47 - mmengine - INFO - Epoch(train) [309][40/63] lr: 1.0000e-05 eta: 11:41:17 time: 0.7973 data_time: 0.0263 memory: 27786 loss: 0.0436 loss_text: 0.0262 loss_kernel: 0.0174 2022/11/02 02:02:51 - mmengine - INFO - Epoch(train) [309][45/63] lr: 1.0000e-05 eta: 11:41:17 time: 0.7960 data_time: 0.0266 memory: 27786 loss: 0.0554 loss_text: 0.0338 loss_kernel: 0.0215 2022/11/02 02:02:54 - mmengine - INFO - Epoch(train) [309][50/63] lr: 1.0000e-05 eta: 11:40:39 time: 0.7936 data_time: 0.0231 memory: 27786 loss: 0.0647 loss_text: 0.0416 loss_kernel: 0.0231 2022/11/02 02:02:58 - mmengine - INFO - Epoch(train) [309][55/63] lr: 1.0000e-05 eta: 11:40:39 time: 0.7879 data_time: 0.0226 memory: 27786 loss: 0.0537 loss_text: 0.0336 loss_kernel: 0.0201 2022/11/02 02:03:02 - mmengine - INFO - Epoch(train) [309][60/63] lr: 1.0000e-05 eta: 11:40:00 time: 0.7756 data_time: 0.0198 memory: 27786 loss: 0.0444 loss_text: 0.0258 loss_kernel: 0.0185 2022/11/02 02:03:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:04:44 - mmengine - INFO - Epoch(train) [310][5/63] lr: 1.0000e-05 eta: 11:40:00 time: 10.3279 data_time: 9.5878 memory: 27786 loss: 0.0554 loss_text: 0.0339 loss_kernel: 0.0215 2022/11/02 02:04:48 - mmengine - INFO - Epoch(train) [310][10/63] lr: 1.0000e-05 eta: 11:40:45 time: 10.3842 data_time: 9.5928 memory: 27786 loss: 0.0511 loss_text: 0.0290 loss_kernel: 0.0221 2022/11/02 02:04:52 - mmengine - INFO - Epoch(train) [310][15/63] lr: 1.0000e-05 eta: 11:40:45 time: 0.8047 data_time: 0.0268 memory: 27786 loss: 0.0453 loss_text: 0.0247 loss_kernel: 0.0206 2022/11/02 02:04:56 - mmengine - INFO - Epoch(train) [310][20/63] lr: 1.0000e-05 eta: 11:40:07 time: 0.8065 data_time: 0.0285 memory: 27786 loss: 0.0446 loss_text: 0.0261 loss_kernel: 0.0185 2022/11/02 02:05:00 - mmengine - INFO - Epoch(train) [310][25/63] lr: 1.0000e-05 eta: 11:40:07 time: 0.7942 data_time: 0.0191 memory: 27786 loss: 0.0442 loss_text: 0.0262 loss_kernel: 0.0180 2022/11/02 02:05:04 - mmengine - INFO - Epoch(train) [310][30/63] lr: 1.0000e-05 eta: 11:39:29 time: 0.7953 data_time: 0.0212 memory: 27786 loss: 0.0452 loss_text: 0.0265 loss_kernel: 0.0188 2022/11/02 02:05:08 - mmengine - INFO - Epoch(train) [310][35/63] lr: 1.0000e-05 eta: 11:39:29 time: 0.7977 data_time: 0.0233 memory: 27786 loss: 0.0510 loss_text: 0.0299 loss_kernel: 0.0211 2022/11/02 02:05:12 - mmengine - INFO - Epoch(train) [310][40/63] lr: 1.0000e-05 eta: 11:38:51 time: 0.7967 data_time: 0.0287 memory: 27786 loss: 0.0557 loss_text: 0.0337 loss_kernel: 0.0220 2022/11/02 02:05:16 - mmengine - INFO - Epoch(train) [310][45/63] lr: 1.0000e-05 eta: 11:38:51 time: 0.7979 data_time: 0.0364 memory: 27786 loss: 0.0566 loss_text: 0.0350 loss_kernel: 0.0217 2022/11/02 02:05:20 - mmengine - INFO - Epoch(train) [310][50/63] lr: 1.0000e-05 eta: 11:38:13 time: 0.7986 data_time: 0.0268 memory: 27786 loss: 0.0545 loss_text: 0.0331 loss_kernel: 0.0214 2022/11/02 02:05:24 - mmengine - INFO - Epoch(train) [310][55/63] lr: 1.0000e-05 eta: 11:38:13 time: 0.7911 data_time: 0.0213 memory: 27786 loss: 0.0479 loss_text: 0.0283 loss_kernel: 0.0195 2022/11/02 02:05:28 - mmengine - INFO - Epoch(train) [310][60/63] lr: 1.0000e-05 eta: 11:37:35 time: 0.7878 data_time: 0.0226 memory: 27786 loss: 0.0435 loss_text: 0.0257 loss_kernel: 0.0178 2022/11/02 02:05:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:07:10 - mmengine - INFO - Epoch(train) [311][5/63] lr: 1.0000e-05 eta: 11:37:35 time: 10.3894 data_time: 9.6585 memory: 27786 loss: 0.0500 loss_text: 0.0308 loss_kernel: 0.0192 2022/11/02 02:07:14 - mmengine - INFO - Epoch(train) [311][10/63] lr: 1.0000e-05 eta: 11:38:20 time: 10.4382 data_time: 9.6721 memory: 27786 loss: 0.0545 loss_text: 0.0332 loss_kernel: 0.0213 2022/11/02 02:07:18 - mmengine - INFO - Epoch(train) [311][15/63] lr: 1.0000e-05 eta: 11:38:20 time: 0.7836 data_time: 0.0264 memory: 27786 loss: 0.0545 loss_text: 0.0332 loss_kernel: 0.0213 2022/11/02 02:07:22 - mmengine - INFO - Epoch(train) [311][20/63] lr: 1.0000e-05 eta: 11:37:42 time: 0.7901 data_time: 0.0263 memory: 27786 loss: 0.0460 loss_text: 0.0278 loss_kernel: 0.0182 2022/11/02 02:07:26 - mmengine - INFO - Epoch(train) [311][25/63] lr: 1.0000e-05 eta: 11:37:42 time: 0.8005 data_time: 0.0297 memory: 27786 loss: 0.0426 loss_text: 0.0256 loss_kernel: 0.0170 2022/11/02 02:07:30 - mmengine - INFO - Epoch(train) [311][30/63] lr: 1.0000e-05 eta: 11:37:04 time: 0.7986 data_time: 0.0192 memory: 27786 loss: 0.0435 loss_text: 0.0258 loss_kernel: 0.0178 2022/11/02 02:07:34 - mmengine - INFO - Epoch(train) [311][35/63] lr: 1.0000e-05 eta: 11:37:04 time: 0.8111 data_time: 0.0313 memory: 27786 loss: 0.0438 loss_text: 0.0251 loss_kernel: 0.0188 2022/11/02 02:07:38 - mmengine - INFO - Epoch(train) [311][40/63] lr: 1.0000e-05 eta: 11:36:27 time: 0.8019 data_time: 0.0261 memory: 27786 loss: 0.0466 loss_text: 0.0274 loss_kernel: 0.0192 2022/11/02 02:07:42 - mmengine - INFO - Epoch(train) [311][45/63] lr: 1.0000e-05 eta: 11:36:27 time: 0.8018 data_time: 0.0196 memory: 27786 loss: 0.0488 loss_text: 0.0295 loss_kernel: 0.0193 2022/11/02 02:07:46 - mmengine - INFO - Epoch(train) [311][50/63] lr: 1.0000e-05 eta: 11:35:49 time: 0.8033 data_time: 0.0311 memory: 27786 loss: 0.0474 loss_text: 0.0284 loss_kernel: 0.0190 2022/11/02 02:07:50 - mmengine - INFO - Epoch(train) [311][55/63] lr: 1.0000e-05 eta: 11:35:49 time: 0.7814 data_time: 0.0247 memory: 27786 loss: 0.0427 loss_text: 0.0252 loss_kernel: 0.0175 2022/11/02 02:07:54 - mmengine - INFO - Epoch(train) [311][60/63] lr: 1.0000e-05 eta: 11:35:11 time: 0.7833 data_time: 0.0156 memory: 27786 loss: 0.0491 loss_text: 0.0291 loss_kernel: 0.0200 2022/11/02 02:07:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:09:36 - mmengine - INFO - Epoch(train) [312][5/63] lr: 1.0000e-05 eta: 11:35:11 time: 10.3433 data_time: 9.5964 memory: 27786 loss: 0.0417 loss_text: 0.0235 loss_kernel: 0.0182 2022/11/02 02:09:40 - mmengine - INFO - Epoch(train) [312][10/63] lr: 1.0000e-05 eta: 11:35:55 time: 10.3994 data_time: 9.6099 memory: 27786 loss: 0.0417 loss_text: 0.0235 loss_kernel: 0.0182 2022/11/02 02:09:44 - mmengine - INFO - Epoch(train) [312][15/63] lr: 1.0000e-05 eta: 11:35:55 time: 0.7964 data_time: 0.0268 memory: 27786 loss: 0.0547 loss_text: 0.0332 loss_kernel: 0.0215 2022/11/02 02:09:48 - mmengine - INFO - Epoch(train) [312][20/63] lr: 1.0000e-05 eta: 11:35:17 time: 0.7955 data_time: 0.0252 memory: 27786 loss: 0.0566 loss_text: 0.0351 loss_kernel: 0.0214 2022/11/02 02:09:52 - mmengine - INFO - Epoch(train) [312][25/63] lr: 1.0000e-05 eta: 11:35:17 time: 0.8007 data_time: 0.0238 memory: 27786 loss: 0.0574 loss_text: 0.0359 loss_kernel: 0.0215 2022/11/02 02:09:56 - mmengine - INFO - Epoch(train) [312][30/63] lr: 1.0000e-05 eta: 11:34:39 time: 0.7937 data_time: 0.0237 memory: 27786 loss: 0.0548 loss_text: 0.0342 loss_kernel: 0.0206 2022/11/02 02:10:00 - mmengine - INFO - Epoch(train) [312][35/63] lr: 1.0000e-05 eta: 11:34:39 time: 0.8039 data_time: 0.0343 memory: 27786 loss: 0.0450 loss_text: 0.0271 loss_kernel: 0.0180 2022/11/02 02:10:04 - mmengine - INFO - Epoch(train) [312][40/63] lr: 1.0000e-05 eta: 11:34:02 time: 0.8032 data_time: 0.0287 memory: 27786 loss: 0.0564 loss_text: 0.0347 loss_kernel: 0.0218 2022/11/02 02:10:08 - mmengine - INFO - Epoch(train) [312][45/63] lr: 1.0000e-05 eta: 11:34:02 time: 0.7933 data_time: 0.0200 memory: 27786 loss: 0.0553 loss_text: 0.0330 loss_kernel: 0.0223 2022/11/02 02:10:12 - mmengine - INFO - Epoch(train) [312][50/63] lr: 1.0000e-05 eta: 11:33:24 time: 0.7882 data_time: 0.0250 memory: 27786 loss: 0.0519 loss_text: 0.0303 loss_kernel: 0.0217 2022/11/02 02:10:16 - mmengine - INFO - Epoch(train) [312][55/63] lr: 1.0000e-05 eta: 11:33:24 time: 0.7973 data_time: 0.0254 memory: 27786 loss: 0.0616 loss_text: 0.0378 loss_kernel: 0.0238 2022/11/02 02:10:20 - mmengine - INFO - Epoch(train) [312][60/63] lr: 1.0000e-05 eta: 11:32:46 time: 0.7953 data_time: 0.0200 memory: 27786 loss: 0.0680 loss_text: 0.0424 loss_kernel: 0.0256 2022/11/02 02:10:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:12:01 - mmengine - INFO - Epoch(train) [313][5/63] lr: 1.0000e-05 eta: 11:32:46 time: 10.2996 data_time: 9.5733 memory: 27786 loss: 0.0482 loss_text: 0.0289 loss_kernel: 0.0192 2022/11/02 02:12:06 - mmengine - INFO - Epoch(train) [313][10/63] lr: 1.0000e-05 eta: 11:33:29 time: 10.3507 data_time: 9.5879 memory: 27786 loss: 0.0473 loss_text: 0.0277 loss_kernel: 0.0196 2022/11/02 02:12:09 - mmengine - INFO - Epoch(train) [313][15/63] lr: 1.0000e-05 eta: 11:33:29 time: 0.7925 data_time: 0.0251 memory: 27786 loss: 0.0549 loss_text: 0.0328 loss_kernel: 0.0221 2022/11/02 02:12:13 - mmengine - INFO - Epoch(train) [313][20/63] lr: 1.0000e-05 eta: 11:32:51 time: 0.7834 data_time: 0.0158 memory: 27786 loss: 0.0546 loss_text: 0.0330 loss_kernel: 0.0216 2022/11/02 02:12:18 - mmengine - INFO - Epoch(train) [313][25/63] lr: 1.0000e-05 eta: 11:32:51 time: 0.8121 data_time: 0.0440 memory: 27786 loss: 0.0593 loss_text: 0.0363 loss_kernel: 0.0230 2022/11/02 02:12:21 - mmengine - INFO - Epoch(train) [313][30/63] lr: 1.0000e-05 eta: 11:32:14 time: 0.8044 data_time: 0.0409 memory: 27786 loss: 0.0612 loss_text: 0.0370 loss_kernel: 0.0243 2022/11/02 02:12:25 - mmengine - INFO - Epoch(train) [313][35/63] lr: 1.0000e-05 eta: 11:32:14 time: 0.7885 data_time: 0.0193 memory: 27786 loss: 0.0532 loss_text: 0.0304 loss_kernel: 0.0228 2022/11/02 02:12:29 - mmengine - INFO - Epoch(train) [313][40/63] lr: 1.0000e-05 eta: 11:31:36 time: 0.7920 data_time: 0.0202 memory: 27786 loss: 0.0460 loss_text: 0.0264 loss_kernel: 0.0196 2022/11/02 02:12:33 - mmengine - INFO - Epoch(train) [313][45/63] lr: 1.0000e-05 eta: 11:31:36 time: 0.7871 data_time: 0.0206 memory: 27786 loss: 0.0407 loss_text: 0.0237 loss_kernel: 0.0170 2022/11/02 02:12:37 - mmengine - INFO - Epoch(train) [313][50/63] lr: 1.0000e-05 eta: 11:30:58 time: 0.7997 data_time: 0.0284 memory: 27786 loss: 0.0481 loss_text: 0.0291 loss_kernel: 0.0191 2022/11/02 02:12:41 - mmengine - INFO - Epoch(train) [313][55/63] lr: 1.0000e-05 eta: 11:30:58 time: 0.7968 data_time: 0.0272 memory: 27786 loss: 0.0490 loss_text: 0.0299 loss_kernel: 0.0192 2022/11/02 02:12:45 - mmengine - INFO - Epoch(train) [313][60/63] lr: 1.0000e-05 eta: 11:30:21 time: 0.7750 data_time: 0.0170 memory: 27786 loss: 0.0505 loss_text: 0.0308 loss_kernel: 0.0197 2022/11/02 02:12:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:14:27 - mmengine - INFO - Epoch(train) [314][5/63] lr: 1.0000e-05 eta: 11:30:21 time: 10.3103 data_time: 9.5679 memory: 27786 loss: 0.0513 loss_text: 0.0310 loss_kernel: 0.0203 2022/11/02 02:14:31 - mmengine - INFO - Epoch(train) [314][10/63] lr: 1.0000e-05 eta: 11:31:03 time: 10.3685 data_time: 9.5878 memory: 27786 loss: 0.0643 loss_text: 0.0407 loss_kernel: 0.0236 2022/11/02 02:14:35 - mmengine - INFO - Epoch(train) [314][15/63] lr: 1.0000e-05 eta: 11:31:03 time: 0.7961 data_time: 0.0293 memory: 27786 loss: 0.0541 loss_text: 0.0336 loss_kernel: 0.0205 2022/11/02 02:14:39 - mmengine - INFO - Epoch(train) [314][20/63] lr: 1.0000e-05 eta: 11:30:26 time: 0.7942 data_time: 0.0196 memory: 27786 loss: 0.0430 loss_text: 0.0250 loss_kernel: 0.0180 2022/11/02 02:14:43 - mmengine - INFO - Epoch(train) [314][25/63] lr: 1.0000e-05 eta: 11:30:26 time: 0.8067 data_time: 0.0288 memory: 27786 loss: 0.0517 loss_text: 0.0309 loss_kernel: 0.0207 2022/11/02 02:14:47 - mmengine - INFO - Epoch(train) [314][30/63] lr: 1.0000e-05 eta: 11:29:48 time: 0.8010 data_time: 0.0203 memory: 27786 loss: 0.0667 loss_text: 0.0418 loss_kernel: 0.0249 2022/11/02 02:14:51 - mmengine - INFO - Epoch(train) [314][35/63] lr: 1.0000e-05 eta: 11:29:48 time: 0.8114 data_time: 0.0302 memory: 27786 loss: 0.0595 loss_text: 0.0365 loss_kernel: 0.0230 2022/11/02 02:14:55 - mmengine - INFO - Epoch(train) [314][40/63] lr: 1.0000e-05 eta: 11:29:11 time: 0.8052 data_time: 0.0288 memory: 27786 loss: 0.0408 loss_text: 0.0240 loss_kernel: 0.0168 2022/11/02 02:14:59 - mmengine - INFO - Epoch(train) [314][45/63] lr: 1.0000e-05 eta: 11:29:11 time: 0.7953 data_time: 0.0246 memory: 27786 loss: 0.0421 loss_text: 0.0236 loss_kernel: 0.0185 2022/11/02 02:15:03 - mmengine - INFO - Epoch(train) [314][50/63] lr: 1.0000e-05 eta: 11:28:33 time: 0.7885 data_time: 0.0337 memory: 27786 loss: 0.0427 loss_text: 0.0239 loss_kernel: 0.0188 2022/11/02 02:15:07 - mmengine - INFO - Epoch(train) [314][55/63] lr: 1.0000e-05 eta: 11:28:33 time: 0.7729 data_time: 0.0235 memory: 27786 loss: 0.0402 loss_text: 0.0240 loss_kernel: 0.0162 2022/11/02 02:15:10 - mmengine - INFO - Epoch(train) [314][60/63] lr: 1.0000e-05 eta: 11:27:55 time: 0.7719 data_time: 0.0167 memory: 27786 loss: 0.0534 loss_text: 0.0328 loss_kernel: 0.0206 2022/11/02 02:15:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:16:51 - mmengine - INFO - Epoch(train) [315][5/63] lr: 1.0000e-05 eta: 11:27:55 time: 10.2478 data_time: 9.5044 memory: 27786 loss: 0.0488 loss_text: 0.0296 loss_kernel: 0.0192 2022/11/02 02:16:56 - mmengine - INFO - Epoch(train) [315][10/63] lr: 1.0000e-05 eta: 11:28:37 time: 10.3008 data_time: 9.5164 memory: 27786 loss: 0.0487 loss_text: 0.0291 loss_kernel: 0.0196 2022/11/02 02:16:59 - mmengine - INFO - Epoch(train) [315][15/63] lr: 1.0000e-05 eta: 11:28:37 time: 0.8003 data_time: 0.0282 memory: 27786 loss: 0.0566 loss_text: 0.0335 loss_kernel: 0.0232 2022/11/02 02:17:03 - mmengine - INFO - Epoch(train) [315][20/63] lr: 1.0000e-05 eta: 11:27:59 time: 0.7961 data_time: 0.0239 memory: 27786 loss: 0.0518 loss_text: 0.0305 loss_kernel: 0.0213 2022/11/02 02:17:07 - mmengine - INFO - Epoch(train) [315][25/63] lr: 1.0000e-05 eta: 11:27:59 time: 0.7932 data_time: 0.0219 memory: 27786 loss: 0.0435 loss_text: 0.0256 loss_kernel: 0.0179 2022/11/02 02:17:11 - mmengine - INFO - Epoch(train) [315][30/63] lr: 1.0000e-05 eta: 11:27:22 time: 0.7927 data_time: 0.0233 memory: 27786 loss: 0.0463 loss_text: 0.0270 loss_kernel: 0.0193 2022/11/02 02:17:15 - mmengine - INFO - Epoch(train) [315][35/63] lr: 1.0000e-05 eta: 11:27:22 time: 0.8055 data_time: 0.0216 memory: 27786 loss: 0.0530 loss_text: 0.0316 loss_kernel: 0.0214 2022/11/02 02:17:19 - mmengine - INFO - Epoch(train) [315][40/63] lr: 1.0000e-05 eta: 11:26:44 time: 0.8029 data_time: 0.0203 memory: 27786 loss: 0.0599 loss_text: 0.0366 loss_kernel: 0.0233 2022/11/02 02:17:24 - mmengine - INFO - Epoch(train) [315][45/63] lr: 1.0000e-05 eta: 11:26:44 time: 0.8081 data_time: 0.0287 memory: 27786 loss: 0.0542 loss_text: 0.0331 loss_kernel: 0.0211 2022/11/02 02:17:28 - mmengine - INFO - Epoch(train) [315][50/63] lr: 1.0000e-05 eta: 11:26:07 time: 0.8149 data_time: 0.0255 memory: 27786 loss: 0.0557 loss_text: 0.0344 loss_kernel: 0.0213 2022/11/02 02:17:32 - mmengine - INFO - Epoch(train) [315][55/63] lr: 1.0000e-05 eta: 11:26:07 time: 0.7968 data_time: 0.0230 memory: 27786 loss: 0.0547 loss_text: 0.0337 loss_kernel: 0.0210 2022/11/02 02:17:35 - mmengine - INFO - Epoch(train) [315][60/63] lr: 1.0000e-05 eta: 11:25:30 time: 0.7834 data_time: 0.0212 memory: 27786 loss: 0.0434 loss_text: 0.0250 loss_kernel: 0.0184 2022/11/02 02:17:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:19:18 - mmengine - INFO - Epoch(train) [316][5/63] lr: 1.0000e-05 eta: 11:25:30 time: 10.3670 data_time: 9.6279 memory: 27786 loss: 0.0492 loss_text: 0.0294 loss_kernel: 0.0198 2022/11/02 02:19:22 - mmengine - INFO - Epoch(train) [316][10/63] lr: 1.0000e-05 eta: 11:26:12 time: 10.4207 data_time: 9.6375 memory: 27786 loss: 0.0562 loss_text: 0.0339 loss_kernel: 0.0223 2022/11/02 02:19:26 - mmengine - INFO - Epoch(train) [316][15/63] lr: 1.0000e-05 eta: 11:26:12 time: 0.8045 data_time: 0.0275 memory: 27786 loss: 0.0492 loss_text: 0.0296 loss_kernel: 0.0196 2022/11/02 02:19:30 - mmengine - INFO - Epoch(train) [316][20/63] lr: 1.0000e-05 eta: 11:25:34 time: 0.7859 data_time: 0.0197 memory: 27786 loss: 0.0548 loss_text: 0.0339 loss_kernel: 0.0209 2022/11/02 02:19:34 - mmengine - INFO - Epoch(train) [316][25/63] lr: 1.0000e-05 eta: 11:25:34 time: 0.8004 data_time: 0.0247 memory: 27786 loss: 0.0627 loss_text: 0.0393 loss_kernel: 0.0235 2022/11/02 02:19:38 - mmengine - INFO - Epoch(train) [316][30/63] lr: 1.0000e-05 eta: 11:24:57 time: 0.8036 data_time: 0.0276 memory: 27786 loss: 0.0510 loss_text: 0.0305 loss_kernel: 0.0205 2022/11/02 02:19:42 - mmengine - INFO - Epoch(train) [316][35/63] lr: 1.0000e-05 eta: 11:24:57 time: 0.7842 data_time: 0.0215 memory: 27786 loss: 0.0447 loss_text: 0.0262 loss_kernel: 0.0184 2022/11/02 02:19:45 - mmengine - INFO - Epoch(train) [316][40/63] lr: 1.0000e-05 eta: 11:24:19 time: 0.7782 data_time: 0.0202 memory: 27786 loss: 0.0445 loss_text: 0.0261 loss_kernel: 0.0183 2022/11/02 02:19:49 - mmengine - INFO - Epoch(train) [316][45/63] lr: 1.0000e-05 eta: 11:24:19 time: 0.7761 data_time: 0.0204 memory: 27786 loss: 0.0429 loss_text: 0.0246 loss_kernel: 0.0184 2022/11/02 02:19:53 - mmengine - INFO - Epoch(train) [316][50/63] lr: 1.0000e-05 eta: 11:23:42 time: 0.7773 data_time: 0.0242 memory: 27786 loss: 0.0558 loss_text: 0.0341 loss_kernel: 0.0218 2022/11/02 02:19:57 - mmengine - INFO - Epoch(train) [316][55/63] lr: 1.0000e-05 eta: 11:23:42 time: 0.7799 data_time: 0.0245 memory: 27786 loss: 0.0723 loss_text: 0.0458 loss_kernel: 0.0266 2022/11/02 02:20:01 - mmengine - INFO - Epoch(train) [316][60/63] lr: 1.0000e-05 eta: 11:23:05 time: 0.7744 data_time: 0.0182 memory: 27786 loss: 0.0655 loss_text: 0.0410 loss_kernel: 0.0245 2022/11/02 02:20:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:21:44 - mmengine - INFO - Epoch(train) [317][5/63] lr: 1.0000e-05 eta: 11:23:05 time: 10.3911 data_time: 9.6630 memory: 27786 loss: 0.0523 loss_text: 0.0318 loss_kernel: 0.0205 2022/11/02 02:21:48 - mmengine - INFO - Epoch(train) [317][10/63] lr: 1.0000e-05 eta: 11:23:47 time: 10.4833 data_time: 9.7015 memory: 27786 loss: 0.0475 loss_text: 0.0283 loss_kernel: 0.0192 2022/11/02 02:21:52 - mmengine - INFO - Epoch(train) [317][15/63] lr: 1.0000e-05 eta: 11:23:47 time: 0.8242 data_time: 0.0474 memory: 27786 loss: 0.0399 loss_text: 0.0234 loss_kernel: 0.0166 2022/11/02 02:21:56 - mmengine - INFO - Epoch(train) [317][20/63] lr: 1.0000e-05 eta: 11:23:09 time: 0.7921 data_time: 0.0156 memory: 27786 loss: 0.0466 loss_text: 0.0284 loss_kernel: 0.0181 2022/11/02 02:22:00 - mmengine - INFO - Epoch(train) [317][25/63] lr: 1.0000e-05 eta: 11:23:09 time: 0.7991 data_time: 0.0326 memory: 27786 loss: 0.0524 loss_text: 0.0325 loss_kernel: 0.0199 2022/11/02 02:22:04 - mmengine - INFO - Epoch(train) [317][30/63] lr: 1.0000e-05 eta: 11:22:32 time: 0.7932 data_time: 0.0267 memory: 27786 loss: 0.0536 loss_text: 0.0330 loss_kernel: 0.0205 2022/11/02 02:22:08 - mmengine - INFO - Epoch(train) [317][35/63] lr: 1.0000e-05 eta: 11:22:32 time: 0.8036 data_time: 0.0208 memory: 27786 loss: 0.0559 loss_text: 0.0342 loss_kernel: 0.0217 2022/11/02 02:22:12 - mmengine - INFO - Epoch(train) [317][40/63] lr: 1.0000e-05 eta: 11:21:55 time: 0.7942 data_time: 0.0230 memory: 27786 loss: 0.0490 loss_text: 0.0292 loss_kernel: 0.0199 2022/11/02 02:22:16 - mmengine - INFO - Epoch(train) [317][45/63] lr: 1.0000e-05 eta: 11:21:55 time: 0.7768 data_time: 0.0199 memory: 27786 loss: 0.0422 loss_text: 0.0251 loss_kernel: 0.0171 2022/11/02 02:22:20 - mmengine - INFO - Epoch(train) [317][50/63] lr: 1.0000e-05 eta: 11:21:18 time: 0.7959 data_time: 0.0307 memory: 27786 loss: 0.0448 loss_text: 0.0266 loss_kernel: 0.0182 2022/11/02 02:22:23 - mmengine - INFO - Epoch(train) [317][55/63] lr: 1.0000e-05 eta: 11:21:18 time: 0.7888 data_time: 0.0266 memory: 27786 loss: 0.0558 loss_text: 0.0340 loss_kernel: 0.0218 2022/11/02 02:22:27 - mmengine - INFO - Epoch(train) [317][60/63] lr: 1.0000e-05 eta: 11:20:40 time: 0.7662 data_time: 0.0171 memory: 27786 loss: 0.0537 loss_text: 0.0326 loss_kernel: 0.0211 2022/11/02 02:22:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:24:09 - mmengine - INFO - Epoch(train) [318][5/63] lr: 1.0000e-05 eta: 11:20:40 time: 10.2936 data_time: 9.5679 memory: 27786 loss: 0.0561 loss_text: 0.0343 loss_kernel: 0.0219 2022/11/02 02:24:13 - mmengine - INFO - Epoch(train) [318][10/63] lr: 1.0000e-05 eta: 11:21:20 time: 10.3379 data_time: 9.5784 memory: 27786 loss: 0.0446 loss_text: 0.0261 loss_kernel: 0.0185 2022/11/02 02:24:17 - mmengine - INFO - Epoch(train) [318][15/63] lr: 1.0000e-05 eta: 11:21:20 time: 0.7845 data_time: 0.0312 memory: 27786 loss: 0.0434 loss_text: 0.0250 loss_kernel: 0.0184 2022/11/02 02:24:21 - mmengine - INFO - Epoch(train) [318][20/63] lr: 1.0000e-05 eta: 11:20:43 time: 0.7873 data_time: 0.0308 memory: 27786 loss: 0.0391 loss_text: 0.0223 loss_kernel: 0.0168 2022/11/02 02:24:25 - mmengine - INFO - Epoch(train) [318][25/63] lr: 1.0000e-05 eta: 11:20:43 time: 0.7919 data_time: 0.0277 memory: 27786 loss: 0.0394 loss_text: 0.0225 loss_kernel: 0.0169 2022/11/02 02:24:28 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:24:29 - mmengine - INFO - Epoch(train) [318][30/63] lr: 1.0000e-05 eta: 11:20:06 time: 0.7936 data_time: 0.0232 memory: 27786 loss: 0.0433 loss_text: 0.0249 loss_kernel: 0.0185 2022/11/02 02:24:32 - mmengine - INFO - Epoch(train) [318][35/63] lr: 1.0000e-05 eta: 11:20:06 time: 0.7851 data_time: 0.0204 memory: 27786 loss: 0.0445 loss_text: 0.0261 loss_kernel: 0.0184 2022/11/02 02:24:36 - mmengine - INFO - Epoch(train) [318][40/63] lr: 1.0000e-05 eta: 11:19:29 time: 0.7744 data_time: 0.0191 memory: 27786 loss: 0.0440 loss_text: 0.0259 loss_kernel: 0.0181 2022/11/02 02:24:40 - mmengine - INFO - Epoch(train) [318][45/63] lr: 1.0000e-05 eta: 11:19:29 time: 0.7859 data_time: 0.0240 memory: 27786 loss: 0.0419 loss_text: 0.0244 loss_kernel: 0.0176 2022/11/02 02:24:44 - mmengine - INFO - Epoch(train) [318][50/63] lr: 1.0000e-05 eta: 11:18:52 time: 0.7887 data_time: 0.0270 memory: 27786 loss: 0.0530 loss_text: 0.0324 loss_kernel: 0.0206 2022/11/02 02:24:48 - mmengine - INFO - Epoch(train) [318][55/63] lr: 1.0000e-05 eta: 11:18:52 time: 0.7659 data_time: 0.0210 memory: 27786 loss: 0.0638 loss_text: 0.0402 loss_kernel: 0.0236 2022/11/02 02:24:52 - mmengine - INFO - Epoch(train) [318][60/63] lr: 1.0000e-05 eta: 11:18:14 time: 0.7617 data_time: 0.0169 memory: 27786 loss: 0.0602 loss_text: 0.0375 loss_kernel: 0.0227 2022/11/02 02:24:54 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:26:35 - mmengine - INFO - Epoch(train) [319][5/63] lr: 1.0000e-05 eta: 11:18:14 time: 10.4722 data_time: 9.7401 memory: 27786 loss: 0.0518 loss_text: 0.0307 loss_kernel: 0.0210 2022/11/02 02:26:39 - mmengine - INFO - Epoch(train) [319][10/63] lr: 1.0000e-05 eta: 11:18:56 time: 10.5365 data_time: 9.7588 memory: 27786 loss: 0.0490 loss_text: 0.0289 loss_kernel: 0.0202 2022/11/02 02:26:43 - mmengine - INFO - Epoch(train) [319][15/63] lr: 1.0000e-05 eta: 11:18:56 time: 0.7994 data_time: 0.0268 memory: 27786 loss: 0.0448 loss_text: 0.0263 loss_kernel: 0.0185 2022/11/02 02:26:47 - mmengine - INFO - Epoch(train) [319][20/63] lr: 1.0000e-05 eta: 11:18:19 time: 0.7847 data_time: 0.0194 memory: 27786 loss: 0.0492 loss_text: 0.0294 loss_kernel: 0.0199 2022/11/02 02:26:51 - mmengine - INFO - Epoch(train) [319][25/63] lr: 1.0000e-05 eta: 11:18:19 time: 0.7946 data_time: 0.0356 memory: 27786 loss: 0.0477 loss_text: 0.0285 loss_kernel: 0.0192 2022/11/02 02:26:55 - mmengine - INFO - Epoch(train) [319][30/63] lr: 1.0000e-05 eta: 11:17:42 time: 0.7912 data_time: 0.0215 memory: 27786 loss: 0.0429 loss_text: 0.0256 loss_kernel: 0.0173 2022/11/02 02:26:59 - mmengine - INFO - Epoch(train) [319][35/63] lr: 1.0000e-05 eta: 11:17:42 time: 0.7884 data_time: 0.0172 memory: 27786 loss: 0.0548 loss_text: 0.0337 loss_kernel: 0.0211 2022/11/02 02:27:03 - mmengine - INFO - Epoch(train) [319][40/63] lr: 1.0000e-05 eta: 11:17:04 time: 0.7866 data_time: 0.0212 memory: 27786 loss: 0.0591 loss_text: 0.0368 loss_kernel: 0.0223 2022/11/02 02:27:07 - mmengine - INFO - Epoch(train) [319][45/63] lr: 1.0000e-05 eta: 11:17:04 time: 0.7928 data_time: 0.0204 memory: 27786 loss: 0.0471 loss_text: 0.0288 loss_kernel: 0.0183 2022/11/02 02:27:11 - mmengine - INFO - Epoch(train) [319][50/63] lr: 1.0000e-05 eta: 11:16:27 time: 0.7978 data_time: 0.0291 memory: 27786 loss: 0.0431 loss_text: 0.0259 loss_kernel: 0.0172 2022/11/02 02:27:15 - mmengine - INFO - Epoch(train) [319][55/63] lr: 1.0000e-05 eta: 11:16:27 time: 0.7815 data_time: 0.0212 memory: 27786 loss: 0.0481 loss_text: 0.0292 loss_kernel: 0.0190 2022/11/02 02:27:19 - mmengine - INFO - Epoch(train) [319][60/63] lr: 1.0000e-05 eta: 11:15:50 time: 0.7790 data_time: 0.0159 memory: 27786 loss: 0.0461 loss_text: 0.0274 loss_kernel: 0.0186 2022/11/02 02:27:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:29:00 - mmengine - INFO - Epoch(train) [320][5/63] lr: 1.0000e-05 eta: 11:15:50 time: 10.3197 data_time: 9.5715 memory: 27786 loss: 0.0425 loss_text: 0.0245 loss_kernel: 0.0180 2022/11/02 02:29:04 - mmengine - INFO - Epoch(train) [320][10/63] lr: 1.0000e-05 eta: 11:16:30 time: 10.3664 data_time: 9.5803 memory: 27786 loss: 0.0434 loss_text: 0.0256 loss_kernel: 0.0178 2022/11/02 02:29:08 - mmengine - INFO - Epoch(train) [320][15/63] lr: 1.0000e-05 eta: 11:16:30 time: 0.8048 data_time: 0.0377 memory: 27786 loss: 0.0433 loss_text: 0.0254 loss_kernel: 0.0179 2022/11/02 02:29:12 - mmengine - INFO - Epoch(train) [320][20/63] lr: 1.0000e-05 eta: 11:15:53 time: 0.8254 data_time: 0.0503 memory: 27786 loss: 0.0488 loss_text: 0.0290 loss_kernel: 0.0198 2022/11/02 02:29:16 - mmengine - INFO - Epoch(train) [320][25/63] lr: 1.0000e-05 eta: 11:15:53 time: 0.7987 data_time: 0.0347 memory: 27786 loss: 0.0623 loss_text: 0.0390 loss_kernel: 0.0233 2022/11/02 02:29:21 - mmengine - INFO - Epoch(train) [320][30/63] lr: 1.0000e-05 eta: 11:15:16 time: 0.8029 data_time: 0.0206 memory: 27786 loss: 0.0553 loss_text: 0.0342 loss_kernel: 0.0211 2022/11/02 02:29:24 - mmengine - INFO - Epoch(train) [320][35/63] lr: 1.0000e-05 eta: 11:15:16 time: 0.8138 data_time: 0.0239 memory: 27786 loss: 0.0464 loss_text: 0.0266 loss_kernel: 0.0198 2022/11/02 02:29:29 - mmengine - INFO - Epoch(train) [320][40/63] lr: 1.0000e-05 eta: 11:14:39 time: 0.7989 data_time: 0.0255 memory: 27786 loss: 0.0532 loss_text: 0.0315 loss_kernel: 0.0217 2022/11/02 02:29:33 - mmengine - INFO - Epoch(train) [320][45/63] lr: 1.0000e-05 eta: 11:14:39 time: 0.8065 data_time: 0.0285 memory: 27786 loss: 0.0552 loss_text: 0.0340 loss_kernel: 0.0211 2022/11/02 02:29:36 - mmengine - INFO - Epoch(train) [320][50/63] lr: 1.0000e-05 eta: 11:14:02 time: 0.7884 data_time: 0.0260 memory: 27786 loss: 0.0509 loss_text: 0.0306 loss_kernel: 0.0203 2022/11/02 02:29:40 - mmengine - INFO - Epoch(train) [320][55/63] lr: 1.0000e-05 eta: 11:14:02 time: 0.7731 data_time: 0.0231 memory: 27786 loss: 0.0432 loss_text: 0.0257 loss_kernel: 0.0176 2022/11/02 02:29:44 - mmengine - INFO - Epoch(train) [320][60/63] lr: 1.0000e-05 eta: 11:13:25 time: 0.7777 data_time: 0.0247 memory: 27786 loss: 0.0467 loss_text: 0.0282 loss_kernel: 0.0185 2022/11/02 02:29:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:29:46 - mmengine - INFO - Saving checkpoint at 320 epochs 2022/11/02 02:30:24 - mmengine - INFO - Epoch(val) [320][5/500] eta: 11:13:25 time: 3.2865 data_time: 3.2391 memory: 27786 2022/11/02 02:30:24 - mmengine - INFO - Epoch(val) [320][10/500] eta: 0:26:55 time: 3.2972 data_time: 3.2391 memory: 2082 2022/11/02 02:30:24 - mmengine - INFO - Epoch(val) [320][15/500] eta: 0:26:55 time: 0.0559 data_time: 0.0020 memory: 2007 2022/11/02 02:30:24 - mmengine - INFO - Epoch(val) [320][20/500] eta: 0:00:22 time: 0.0476 data_time: 0.0021 memory: 1705 2022/11/02 02:30:25 - mmengine - INFO - Epoch(val) [320][25/500] eta: 0:00:22 time: 0.0426 data_time: 0.0021 memory: 1705 2022/11/02 02:30:25 - mmengine - INFO - Epoch(val) [320][30/500] eta: 0:00:24 time: 0.0528 data_time: 0.0082 memory: 1705 2022/11/02 02:30:25 - mmengine - INFO - Epoch(val) [320][35/500] eta: 0:00:24 time: 0.0567 data_time: 0.0083 memory: 1705 2022/11/02 02:30:25 - mmengine - INFO - Epoch(val) [320][40/500] eta: 0:00:21 time: 0.0474 data_time: 0.0019 memory: 1743 2022/11/02 02:30:26 - mmengine - INFO - Epoch(val) [320][45/500] eta: 0:00:21 time: 0.0458 data_time: 0.0018 memory: 2082 2022/11/02 02:30:26 - mmengine - INFO - Epoch(val) [320][50/500] eta: 0:00:21 time: 0.0479 data_time: 0.0022 memory: 1818 2022/11/02 02:30:26 - mmengine - INFO - Epoch(val) [320][55/500] eta: 0:00:21 time: 0.0479 data_time: 0.0035 memory: 1781 2022/11/02 02:30:26 - mmengine - INFO - Epoch(val) [320][60/500] eta: 0:00:21 time: 0.0494 data_time: 0.0034 memory: 1705 2022/11/02 02:30:27 - mmengine - INFO - Epoch(val) [320][65/500] eta: 0:00:21 time: 0.0497 data_time: 0.0020 memory: 1818 2022/11/02 02:30:27 - mmengine - INFO - Epoch(val) [320][70/500] eta: 0:00:19 time: 0.0446 data_time: 0.0019 memory: 2082 2022/11/02 02:30:27 - mmengine - INFO - Epoch(val) [320][75/500] eta: 0:00:19 time: 0.0473 data_time: 0.0018 memory: 1818 2022/11/02 02:30:28 - mmengine - INFO - Epoch(val) [320][80/500] eta: 0:00:28 time: 0.0668 data_time: 0.0208 memory: 1705 2022/11/02 02:30:28 - mmengine - INFO - Epoch(val) [320][85/500] eta: 0:00:28 time: 0.0638 data_time: 0.0208 memory: 1705 2022/11/02 02:30:28 - mmengine - INFO - Epoch(val) [320][90/500] eta: 0:00:20 time: 0.0502 data_time: 0.0021 memory: 2082 2022/11/02 02:30:28 - mmengine - INFO - Epoch(val) [320][95/500] eta: 0:00:20 time: 0.0469 data_time: 0.0020 memory: 1743 2022/11/02 02:30:28 - mmengine - INFO - Epoch(val) [320][100/500] eta: 0:00:15 time: 0.0393 data_time: 0.0016 memory: 2082 2022/11/02 02:30:29 - mmengine - INFO - Epoch(val) [320][105/500] eta: 0:00:15 time: 0.0412 data_time: 0.0015 memory: 1705 2022/11/02 02:30:29 - mmengine - INFO - Epoch(val) [320][110/500] eta: 0:00:17 time: 0.0460 data_time: 0.0018 memory: 2082 2022/11/02 02:30:29 - mmengine - INFO - Epoch(val) [320][115/500] eta: 0:00:17 time: 0.0460 data_time: 0.0021 memory: 1705 2022/11/02 02:30:29 - mmengine - INFO - Epoch(val) [320][120/500] eta: 0:00:18 time: 0.0500 data_time: 0.0021 memory: 1705 2022/11/02 02:30:30 - mmengine - INFO - Epoch(val) [320][125/500] eta: 0:00:18 time: 0.0585 data_time: 0.0022 memory: 2082 2022/11/02 02:30:30 - mmengine - INFO - Epoch(val) [320][130/500] eta: 0:00:26 time: 0.0710 data_time: 0.0233 memory: 1705 2022/11/02 02:30:30 - mmengine - INFO - Epoch(val) [320][135/500] eta: 0:00:26 time: 0.0654 data_time: 0.0233 memory: 1856 2022/11/02 02:30:31 - mmengine - INFO - Epoch(val) [320][140/500] eta: 0:00:17 time: 0.0476 data_time: 0.0021 memory: 1705 2022/11/02 02:30:31 - mmengine - INFO - Epoch(val) [320][145/500] eta: 0:00:17 time: 0.0468 data_time: 0.0021 memory: 2044 2022/11/02 02:30:31 - mmengine - INFO - Epoch(val) [320][150/500] eta: 0:00:15 time: 0.0448 data_time: 0.0021 memory: 1705 2022/11/02 02:30:31 - mmengine - INFO - Epoch(val) [320][155/500] eta: 0:00:15 time: 0.0474 data_time: 0.0021 memory: 1969 2022/11/02 02:30:32 - mmengine - INFO - Epoch(val) [320][160/500] eta: 0:00:17 time: 0.0513 data_time: 0.0021 memory: 2082 2022/11/02 02:30:32 - mmengine - INFO - Epoch(val) [320][165/500] eta: 0:00:17 time: 0.0456 data_time: 0.0021 memory: 1781 2022/11/02 02:30:32 - mmengine - INFO - Epoch(val) [320][170/500] eta: 0:00:15 time: 0.0466 data_time: 0.0021 memory: 1969 2022/11/02 02:30:32 - mmengine - INFO - Epoch(val) [320][175/500] eta: 0:00:15 time: 0.0473 data_time: 0.0021 memory: 2082 2022/11/02 02:30:32 - mmengine - INFO - Epoch(val) [320][180/500] eta: 0:00:13 time: 0.0430 data_time: 0.0020 memory: 2082 2022/11/02 02:30:33 - mmengine - INFO - Epoch(val) [320][185/500] eta: 0:00:13 time: 0.0452 data_time: 0.0020 memory: 1705 2022/11/02 02:30:33 - mmengine - INFO - Epoch(val) [320][190/500] eta: 0:00:15 time: 0.0500 data_time: 0.0021 memory: 1818 2022/11/02 02:30:33 - mmengine - INFO - Epoch(val) [320][195/500] eta: 0:00:15 time: 0.0455 data_time: 0.0023 memory: 1781 2022/11/02 02:30:33 - mmengine - INFO - Epoch(val) [320][200/500] eta: 0:00:12 time: 0.0408 data_time: 0.0022 memory: 1781 2022/11/02 02:30:34 - mmengine - INFO - Epoch(val) [320][205/500] eta: 0:00:12 time: 0.0407 data_time: 0.0019 memory: 1705 2022/11/02 02:30:34 - mmengine - INFO - Epoch(val) [320][210/500] eta: 0:00:13 time: 0.0452 data_time: 0.0019 memory: 2082 2022/11/02 02:30:34 - mmengine - INFO - Epoch(val) [320][215/500] eta: 0:00:13 time: 0.0471 data_time: 0.0019 memory: 1705 2022/11/02 02:30:34 - mmengine - INFO - Epoch(val) [320][220/500] eta: 0:00:12 time: 0.0438 data_time: 0.0025 memory: 1856 2022/11/02 02:30:34 - mmengine - INFO - Epoch(val) [320][225/500] eta: 0:00:12 time: 0.0445 data_time: 0.0026 memory: 2082 2022/11/02 02:30:35 - mmengine - INFO - Epoch(val) [320][230/500] eta: 0:00:15 time: 0.0571 data_time: 0.0021 memory: 1705 2022/11/02 02:30:35 - mmengine - INFO - Epoch(val) [320][235/500] eta: 0:00:15 time: 0.0576 data_time: 0.0021 memory: 2082 2022/11/02 02:30:35 - mmengine - INFO - Epoch(val) [320][240/500] eta: 0:00:14 time: 0.0541 data_time: 0.0044 memory: 2082 2022/11/02 02:30:36 - mmengine - INFO - Epoch(val) [320][245/500] eta: 0:00:14 time: 0.0574 data_time: 0.0044 memory: 2082 2022/11/02 02:30:36 - mmengine - INFO - Epoch(val) [320][250/500] eta: 0:00:11 time: 0.0475 data_time: 0.0018 memory: 1705 2022/11/02 02:30:36 - mmengine - INFO - Epoch(val) [320][255/500] eta: 0:00:11 time: 0.0708 data_time: 0.0016 memory: 1743 2022/11/02 02:30:37 - mmengine - INFO - Epoch(val) [320][260/500] eta: 0:00:16 time: 0.0684 data_time: 0.0019 memory: 1705 2022/11/02 02:30:37 - mmengine - INFO - Epoch(val) [320][265/500] eta: 0:00:16 time: 0.0459 data_time: 0.0022 memory: 2007 2022/11/02 02:30:37 - mmengine - INFO - Epoch(val) [320][270/500] eta: 0:00:11 time: 0.0503 data_time: 0.0021 memory: 1931 2022/11/02 02:30:37 - mmengine - INFO - Epoch(val) [320][275/500] eta: 0:00:11 time: 0.0504 data_time: 0.0021 memory: 2082 2022/11/02 02:30:38 - mmengine - INFO - Epoch(val) [320][280/500] eta: 0:00:10 time: 0.0467 data_time: 0.0019 memory: 2007 2022/11/02 02:30:38 - mmengine - INFO - Epoch(val) [320][285/500] eta: 0:00:10 time: 0.0462 data_time: 0.0043 memory: 1705 2022/11/02 02:30:38 - mmengine - INFO - Epoch(val) [320][290/500] eta: 0:00:10 time: 0.0503 data_time: 0.0043 memory: 2082 2022/11/02 02:30:38 - mmengine - INFO - Epoch(val) [320][295/500] eta: 0:00:10 time: 0.0447 data_time: 0.0019 memory: 1818 2022/11/02 02:30:38 - mmengine - INFO - Epoch(val) [320][300/500] eta: 0:00:08 time: 0.0432 data_time: 0.0018 memory: 1743 2022/11/02 02:30:39 - mmengine - INFO - Epoch(val) [320][305/500] eta: 0:00:08 time: 0.0390 data_time: 0.0018 memory: 1705 2022/11/02 02:30:39 - mmengine - INFO - Epoch(val) [320][310/500] eta: 0:00:07 time: 0.0371 data_time: 0.0018 memory: 1781 2022/11/02 02:30:39 - mmengine - INFO - Epoch(val) [320][315/500] eta: 0:00:07 time: 0.0472 data_time: 0.0019 memory: 2007 2022/11/02 02:30:39 - mmengine - INFO - Epoch(val) [320][320/500] eta: 0:00:09 time: 0.0526 data_time: 0.0022 memory: 2007 2022/11/02 02:30:40 - mmengine - INFO - Epoch(val) [320][325/500] eta: 0:00:09 time: 0.0543 data_time: 0.0024 memory: 2082 2022/11/02 02:30:40 - mmengine - INFO - Epoch(val) [320][330/500] eta: 0:00:09 time: 0.0545 data_time: 0.0022 memory: 1743 2022/11/02 02:30:40 - mmengine - INFO - Epoch(val) [320][335/500] eta: 0:00:09 time: 0.0547 data_time: 0.0019 memory: 1931 2022/11/02 02:30:40 - mmengine - INFO - Epoch(val) [320][340/500] eta: 0:00:08 time: 0.0512 data_time: 0.0019 memory: 2044 2022/11/02 02:30:41 - mmengine - INFO - Epoch(val) [320][345/500] eta: 0:00:08 time: 0.0421 data_time: 0.0019 memory: 1931 2022/11/02 02:30:41 - mmengine - INFO - Epoch(val) [320][350/500] eta: 0:00:07 time: 0.0487 data_time: 0.0019 memory: 1705 2022/11/02 02:30:41 - mmengine - INFO - Epoch(val) [320][355/500] eta: 0:00:07 time: 0.0631 data_time: 0.0022 memory: 2044 2022/11/02 02:30:41 - mmengine - INFO - Epoch(val) [320][360/500] eta: 0:00:07 time: 0.0530 data_time: 0.0025 memory: 1743 2022/11/02 02:30:42 - mmengine - INFO - Epoch(val) [320][365/500] eta: 0:00:07 time: 0.0464 data_time: 0.0078 memory: 1592 2022/11/02 02:30:42 - mmengine - INFO - Epoch(val) [320][370/500] eta: 0:00:09 time: 0.0693 data_time: 0.0280 memory: 1818 2022/11/02 02:30:42 - mmengine - INFO - Epoch(val) [320][375/500] eta: 0:00:09 time: 0.0586 data_time: 0.0223 memory: 1705 2022/11/02 02:30:42 - mmengine - INFO - Epoch(val) [320][380/500] eta: 0:00:04 time: 0.0384 data_time: 0.0018 memory: 2044 2022/11/02 02:30:43 - mmengine - INFO - Epoch(val) [320][385/500] eta: 0:00:04 time: 0.0452 data_time: 0.0019 memory: 2044 2022/11/02 02:30:43 - mmengine - INFO - Epoch(val) [320][390/500] eta: 0:00:05 time: 0.0484 data_time: 0.0018 memory: 2082 2022/11/02 02:30:43 - mmengine - INFO - Epoch(val) [320][395/500] eta: 0:00:05 time: 0.0631 data_time: 0.0019 memory: 1705 2022/11/02 02:30:44 - mmengine - INFO - Epoch(val) [320][400/500] eta: 0:00:06 time: 0.0662 data_time: 0.0020 memory: 2044 2022/11/02 02:30:44 - mmengine - INFO - Epoch(val) [320][405/500] eta: 0:00:06 time: 0.0526 data_time: 0.0020 memory: 2044 2022/11/02 02:30:44 - mmengine - INFO - Epoch(val) [320][410/500] eta: 0:00:04 time: 0.0487 data_time: 0.0022 memory: 1818 2022/11/02 02:30:44 - mmengine - INFO - Epoch(val) [320][415/500] eta: 0:00:04 time: 0.0504 data_time: 0.0021 memory: 1705 2022/11/02 02:30:45 - mmengine - INFO - Epoch(val) [320][420/500] eta: 0:00:04 time: 0.0598 data_time: 0.0021 memory: 2007 2022/11/02 02:30:45 - mmengine - INFO - Epoch(val) [320][425/500] eta: 0:00:04 time: 0.0616 data_time: 0.0021 memory: 1705 2022/11/02 02:30:45 - mmengine - INFO - Epoch(val) [320][430/500] eta: 0:00:05 time: 0.0764 data_time: 0.0272 memory: 2082 2022/11/02 02:30:46 - mmengine - INFO - Epoch(val) [320][435/500] eta: 0:00:05 time: 0.0714 data_time: 0.0271 memory: 1705 2022/11/02 02:30:46 - mmengine - INFO - Epoch(val) [320][440/500] eta: 0:00:02 time: 0.0489 data_time: 0.0021 memory: 1856 2022/11/02 02:30:46 - mmengine - INFO - Epoch(val) [320][445/500] eta: 0:00:02 time: 0.0513 data_time: 0.0021 memory: 2007 2022/11/02 02:30:46 - mmengine - INFO - Epoch(val) [320][450/500] eta: 0:00:02 time: 0.0466 data_time: 0.0019 memory: 1705 2022/11/02 02:30:47 - mmengine - INFO - Epoch(val) [320][455/500] eta: 0:00:02 time: 0.0471 data_time: 0.0018 memory: 2082 2022/11/02 02:30:47 - mmengine - INFO - Epoch(val) [320][460/500] eta: 0:00:01 time: 0.0470 data_time: 0.0018 memory: 1781 2022/11/02 02:30:47 - mmengine - INFO - Epoch(val) [320][465/500] eta: 0:00:01 time: 0.0404 data_time: 0.0020 memory: 1969 2022/11/02 02:30:47 - mmengine - INFO - Epoch(val) [320][470/500] eta: 0:00:01 time: 0.0411 data_time: 0.0021 memory: 1781 2022/11/02 02:30:48 - mmengine - INFO - Epoch(val) [320][475/500] eta: 0:00:01 time: 0.0517 data_time: 0.0020 memory: 2082 2022/11/02 02:30:48 - mmengine - INFO - Epoch(val) [320][480/500] eta: 0:00:01 time: 0.0546 data_time: 0.0021 memory: 2044 2022/11/02 02:30:48 - mmengine - INFO - Epoch(val) [320][485/500] eta: 0:00:01 time: 0.0486 data_time: 0.0022 memory: 1705 2022/11/02 02:30:48 - mmengine - INFO - Epoch(val) [320][490/500] eta: 0:00:00 time: 0.0422 data_time: 0.0021 memory: 1969 2022/11/02 02:30:49 - mmengine - INFO - Epoch(val) [320][495/500] eta: 0:00:00 time: 0.0420 data_time: 0.0021 memory: 2082 2022/11/02 02:30:49 - mmengine - INFO - Epoch(val) [320][500/500] eta: 0:00:00 time: 0.0445 data_time: 0.0021 memory: 1743 2022/11/02 02:30:49 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 02:30:49 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8169, precision: 0.4667, hmean: 0.5940 2022/11/02 02:30:49 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8169, precision: 0.4667, hmean: 0.5940 2022/11/02 02:30:49 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8169, precision: 0.4667, hmean: 0.5940 2022/11/02 02:30:49 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8169, precision: 0.4905, hmean: 0.6130 2022/11/02 02:30:49 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8166, precision: 0.5845, hmean: 0.6813 2022/11/02 02:30:49 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8140, precision: 0.6962, hmean: 0.7505 2022/11/02 02:30:49 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7974, precision: 0.7889, hmean: 0.7931 2022/11/02 02:30:49 - mmengine - INFO - Epoch(val) [320][500/500] icdar/precision: 0.7889 icdar/recall: 0.7974 icdar/hmean: 0.7931 2022/11/02 02:32:28 - mmengine - INFO - Epoch(train) [321][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 10.2555 data_time: 9.5307 memory: 27786 loss: 0.0454 loss_text: 0.0266 loss_kernel: 0.0188 2022/11/02 02:32:32 - mmengine - INFO - Epoch(train) [321][10/63] lr: 1.0000e-05 eta: 11:14:04 time: 10.3227 data_time: 9.5461 memory: 27786 loss: 0.0451 loss_text: 0.0268 loss_kernel: 0.0183 2022/11/02 02:32:36 - mmengine - INFO - Epoch(train) [321][15/63] lr: 1.0000e-05 eta: 11:14:04 time: 0.8059 data_time: 0.0310 memory: 27786 loss: 0.0447 loss_text: 0.0262 loss_kernel: 0.0185 2022/11/02 02:32:40 - mmengine - INFO - Epoch(train) [321][20/63] lr: 1.0000e-05 eta: 11:13:27 time: 0.8115 data_time: 0.0230 memory: 27786 loss: 0.0632 loss_text: 0.0391 loss_kernel: 0.0241 2022/11/02 02:32:44 - mmengine - INFO - Epoch(train) [321][25/63] lr: 1.0000e-05 eta: 11:13:27 time: 0.8163 data_time: 0.0342 memory: 27786 loss: 0.0695 loss_text: 0.0431 loss_kernel: 0.0263 2022/11/02 02:32:48 - mmengine - INFO - Epoch(train) [321][30/63] lr: 1.0000e-05 eta: 11:12:50 time: 0.7931 data_time: 0.0261 memory: 27786 loss: 0.0606 loss_text: 0.0374 loss_kernel: 0.0232 2022/11/02 02:32:52 - mmengine - INFO - Epoch(train) [321][35/63] lr: 1.0000e-05 eta: 11:12:50 time: 0.8167 data_time: 0.0358 memory: 27786 loss: 0.0588 loss_text: 0.0361 loss_kernel: 0.0228 2022/11/02 02:32:56 - mmengine - INFO - Epoch(train) [321][40/63] lr: 1.0000e-05 eta: 11:12:14 time: 0.8196 data_time: 0.0492 memory: 27786 loss: 0.0560 loss_text: 0.0337 loss_kernel: 0.0223 2022/11/02 02:33:00 - mmengine - INFO - Epoch(train) [321][45/63] lr: 1.0000e-05 eta: 11:12:14 time: 0.7987 data_time: 0.0298 memory: 27786 loss: 0.0561 loss_text: 0.0339 loss_kernel: 0.0222 2022/11/02 02:33:04 - mmengine - INFO - Epoch(train) [321][50/63] lr: 1.0000e-05 eta: 11:11:37 time: 0.7956 data_time: 0.0262 memory: 27786 loss: 0.0558 loss_text: 0.0339 loss_kernel: 0.0220 2022/11/02 02:33:08 - mmengine - INFO - Epoch(train) [321][55/63] lr: 1.0000e-05 eta: 11:11:37 time: 0.7727 data_time: 0.0227 memory: 27786 loss: 0.0562 loss_text: 0.0346 loss_kernel: 0.0216 2022/11/02 02:33:12 - mmengine - INFO - Epoch(train) [321][60/63] lr: 1.0000e-05 eta: 11:11:00 time: 0.7703 data_time: 0.0162 memory: 27786 loss: 0.0555 loss_text: 0.0341 loss_kernel: 0.0214 2022/11/02 02:33:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:34:54 - mmengine - INFO - Epoch(train) [322][5/63] lr: 1.0000e-05 eta: 11:11:00 time: 10.3424 data_time: 9.6118 memory: 27786 loss: 0.0590 loss_text: 0.0364 loss_kernel: 0.0226 2022/11/02 02:34:58 - mmengine - INFO - Epoch(train) [322][10/63] lr: 1.0000e-05 eta: 11:11:39 time: 10.3866 data_time: 9.6305 memory: 27786 loss: 0.0489 loss_text: 0.0295 loss_kernel: 0.0194 2022/11/02 02:35:02 - mmengine - INFO - Epoch(train) [322][15/63] lr: 1.0000e-05 eta: 11:11:39 time: 0.7834 data_time: 0.0267 memory: 27786 loss: 0.0473 loss_text: 0.0276 loss_kernel: 0.0197 2022/11/02 02:35:06 - mmengine - INFO - Epoch(train) [322][20/63] lr: 1.0000e-05 eta: 11:11:02 time: 0.7994 data_time: 0.0236 memory: 27786 loss: 0.0480 loss_text: 0.0281 loss_kernel: 0.0199 2022/11/02 02:35:10 - mmengine - INFO - Epoch(train) [322][25/63] lr: 1.0000e-05 eta: 11:11:02 time: 0.8039 data_time: 0.0286 memory: 27786 loss: 0.0426 loss_text: 0.0251 loss_kernel: 0.0174 2022/11/02 02:35:14 - mmengine - INFO - Epoch(train) [322][30/63] lr: 1.0000e-05 eta: 11:10:25 time: 0.8094 data_time: 0.0206 memory: 27786 loss: 0.0430 loss_text: 0.0254 loss_kernel: 0.0176 2022/11/02 02:35:18 - mmengine - INFO - Epoch(train) [322][35/63] lr: 1.0000e-05 eta: 11:10:25 time: 0.8260 data_time: 0.0344 memory: 27786 loss: 0.0434 loss_text: 0.0261 loss_kernel: 0.0173 2022/11/02 02:35:22 - mmengine - INFO - Epoch(train) [322][40/63] lr: 1.0000e-05 eta: 11:09:49 time: 0.7994 data_time: 0.0263 memory: 27786 loss: 0.0442 loss_text: 0.0266 loss_kernel: 0.0176 2022/11/02 02:35:26 - mmengine - INFO - Epoch(train) [322][45/63] lr: 1.0000e-05 eta: 11:09:49 time: 0.7835 data_time: 0.0249 memory: 27786 loss: 0.0479 loss_text: 0.0290 loss_kernel: 0.0189 2022/11/02 02:35:30 - mmengine - INFO - Epoch(train) [322][50/63] lr: 1.0000e-05 eta: 11:09:12 time: 0.7809 data_time: 0.0351 memory: 27786 loss: 0.0515 loss_text: 0.0320 loss_kernel: 0.0195 2022/11/02 02:35:34 - mmengine - INFO - Epoch(train) [322][55/63] lr: 1.0000e-05 eta: 11:09:12 time: 0.7791 data_time: 0.0184 memory: 27786 loss: 0.0480 loss_text: 0.0288 loss_kernel: 0.0192 2022/11/02 02:35:38 - mmengine - INFO - Epoch(train) [322][60/63] lr: 1.0000e-05 eta: 11:08:35 time: 0.7852 data_time: 0.0148 memory: 27786 loss: 0.0511 loss_text: 0.0307 loss_kernel: 0.0204 2022/11/02 02:35:40 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:37:19 - mmengine - INFO - Epoch(train) [323][5/63] lr: 1.0000e-05 eta: 11:08:35 time: 10.3128 data_time: 9.5741 memory: 27786 loss: 0.0554 loss_text: 0.0338 loss_kernel: 0.0216 2022/11/02 02:37:23 - mmengine - INFO - Epoch(train) [323][10/63] lr: 1.0000e-05 eta: 11:09:13 time: 10.3670 data_time: 9.5972 memory: 27786 loss: 0.0555 loss_text: 0.0339 loss_kernel: 0.0217 2022/11/02 02:37:27 - mmengine - INFO - Epoch(train) [323][15/63] lr: 1.0000e-05 eta: 11:09:13 time: 0.7860 data_time: 0.0299 memory: 27786 loss: 0.0560 loss_text: 0.0343 loss_kernel: 0.0217 2022/11/02 02:37:31 - mmengine - INFO - Epoch(train) [323][20/63] lr: 1.0000e-05 eta: 11:08:37 time: 0.7816 data_time: 0.0203 memory: 27786 loss: 0.0484 loss_text: 0.0294 loss_kernel: 0.0190 2022/11/02 02:37:35 - mmengine - INFO - Epoch(train) [323][25/63] lr: 1.0000e-05 eta: 11:08:37 time: 0.8037 data_time: 0.0285 memory: 27786 loss: 0.0439 loss_text: 0.0261 loss_kernel: 0.0178 2022/11/02 02:37:39 - mmengine - INFO - Epoch(train) [323][30/63] lr: 1.0000e-05 eta: 11:08:00 time: 0.7993 data_time: 0.0259 memory: 27786 loss: 0.0571 loss_text: 0.0350 loss_kernel: 0.0221 2022/11/02 02:37:43 - mmengine - INFO - Epoch(train) [323][35/63] lr: 1.0000e-05 eta: 11:08:00 time: 0.7912 data_time: 0.0302 memory: 27786 loss: 0.0563 loss_text: 0.0347 loss_kernel: 0.0216 2022/11/02 02:37:47 - mmengine - INFO - Epoch(train) [323][40/63] lr: 1.0000e-05 eta: 11:07:23 time: 0.7929 data_time: 0.0263 memory: 27786 loss: 0.0441 loss_text: 0.0264 loss_kernel: 0.0177 2022/11/02 02:37:51 - mmengine - INFO - Epoch(train) [323][45/63] lr: 1.0000e-05 eta: 11:07:23 time: 0.7913 data_time: 0.0241 memory: 27786 loss: 0.0450 loss_text: 0.0269 loss_kernel: 0.0181 2022/11/02 02:37:55 - mmengine - INFO - Epoch(train) [323][50/63] lr: 1.0000e-05 eta: 11:06:47 time: 0.7914 data_time: 0.0331 memory: 27786 loss: 0.0468 loss_text: 0.0277 loss_kernel: 0.0192 2022/11/02 02:37:59 - mmengine - INFO - Epoch(train) [323][55/63] lr: 1.0000e-05 eta: 11:06:47 time: 0.7856 data_time: 0.0257 memory: 27786 loss: 0.0487 loss_text: 0.0280 loss_kernel: 0.0207 2022/11/02 02:38:03 - mmengine - INFO - Epoch(train) [323][60/63] lr: 1.0000e-05 eta: 11:06:10 time: 0.7810 data_time: 0.0155 memory: 27786 loss: 0.0456 loss_text: 0.0254 loss_kernel: 0.0201 2022/11/02 02:38:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:39:44 - mmengine - INFO - Epoch(train) [324][5/63] lr: 1.0000e-05 eta: 11:06:10 time: 10.2934 data_time: 9.5620 memory: 27786 loss: 0.0585 loss_text: 0.0353 loss_kernel: 0.0232 2022/11/02 02:39:48 - mmengine - INFO - Epoch(train) [324][10/63] lr: 1.0000e-05 eta: 11:06:47 time: 10.3573 data_time: 9.5788 memory: 27786 loss: 0.0579 loss_text: 0.0343 loss_kernel: 0.0236 2022/11/02 02:39:52 - mmengine - INFO - Epoch(train) [324][15/63] lr: 1.0000e-05 eta: 11:06:47 time: 0.7941 data_time: 0.0258 memory: 27786 loss: 0.0524 loss_text: 0.0314 loss_kernel: 0.0209 2022/11/02 02:39:56 - mmengine - INFO - Epoch(train) [324][20/63] lr: 1.0000e-05 eta: 11:06:11 time: 0.7813 data_time: 0.0234 memory: 27786 loss: 0.0450 loss_text: 0.0268 loss_kernel: 0.0182 2022/11/02 02:40:00 - mmengine - INFO - Epoch(train) [324][25/63] lr: 1.0000e-05 eta: 11:06:11 time: 0.7918 data_time: 0.0287 memory: 27786 loss: 0.0434 loss_text: 0.0257 loss_kernel: 0.0177 2022/11/02 02:40:04 - mmengine - INFO - Epoch(train) [324][30/63] lr: 1.0000e-05 eta: 11:05:34 time: 0.8136 data_time: 0.0255 memory: 27786 loss: 0.0489 loss_text: 0.0295 loss_kernel: 0.0194 2022/11/02 02:40:09 - mmengine - INFO - Epoch(train) [324][35/63] lr: 1.0000e-05 eta: 11:05:34 time: 0.8371 data_time: 0.0315 memory: 27786 loss: 0.0536 loss_text: 0.0323 loss_kernel: 0.0213 2022/11/02 02:40:13 - mmengine - INFO - Epoch(train) [324][40/63] lr: 1.0000e-05 eta: 11:04:58 time: 0.8231 data_time: 0.0217 memory: 27786 loss: 0.0473 loss_text: 0.0277 loss_kernel: 0.0196 2022/11/02 02:40:17 - mmengine - INFO - Epoch(train) [324][45/63] lr: 1.0000e-05 eta: 11:04:58 time: 0.8020 data_time: 0.0196 memory: 27786 loss: 0.0469 loss_text: 0.0280 loss_kernel: 0.0189 2022/11/02 02:40:21 - mmengine - INFO - Epoch(train) [324][50/63] lr: 1.0000e-05 eta: 11:04:22 time: 0.7982 data_time: 0.0300 memory: 27786 loss: 0.0576 loss_text: 0.0359 loss_kernel: 0.0217 2022/11/02 02:40:24 - mmengine - INFO - Epoch(train) [324][55/63] lr: 1.0000e-05 eta: 11:04:22 time: 0.7786 data_time: 0.0208 memory: 27786 loss: 0.0575 loss_text: 0.0357 loss_kernel: 0.0218 2022/11/02 02:40:28 - mmengine - INFO - Epoch(train) [324][60/63] lr: 1.0000e-05 eta: 11:03:45 time: 0.7732 data_time: 0.0166 memory: 27786 loss: 0.0519 loss_text: 0.0312 loss_kernel: 0.0208 2022/11/02 02:40:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:42:10 - mmengine - INFO - Epoch(train) [325][5/63] lr: 1.0000e-05 eta: 11:03:45 time: 10.3657 data_time: 9.6312 memory: 27786 loss: 0.0416 loss_text: 0.0234 loss_kernel: 0.0182 2022/11/02 02:42:15 - mmengine - INFO - Epoch(train) [325][10/63] lr: 1.0000e-05 eta: 11:04:23 time: 10.4210 data_time: 9.6464 memory: 27786 loss: 0.0555 loss_text: 0.0337 loss_kernel: 0.0218 2022/11/02 02:42:18 - mmengine - INFO - Epoch(train) [325][15/63] lr: 1.0000e-05 eta: 11:04:23 time: 0.7940 data_time: 0.0274 memory: 27786 loss: 0.0580 loss_text: 0.0352 loss_kernel: 0.0228 2022/11/02 02:42:22 - mmengine - INFO - Epoch(train) [325][20/63] lr: 1.0000e-05 eta: 11:03:46 time: 0.7957 data_time: 0.0266 memory: 27786 loss: 0.0488 loss_text: 0.0285 loss_kernel: 0.0202 2022/11/02 02:42:27 - mmengine - INFO - Epoch(train) [325][25/63] lr: 1.0000e-05 eta: 11:03:46 time: 0.8083 data_time: 0.0419 memory: 27786 loss: 0.0450 loss_text: 0.0265 loss_kernel: 0.0185 2022/11/02 02:42:30 - mmengine - INFO - Epoch(train) [325][30/63] lr: 1.0000e-05 eta: 11:03:10 time: 0.7903 data_time: 0.0318 memory: 27786 loss: 0.0471 loss_text: 0.0283 loss_kernel: 0.0188 2022/11/02 02:42:34 - mmengine - INFO - Epoch(train) [325][35/63] lr: 1.0000e-05 eta: 11:03:10 time: 0.7852 data_time: 0.0205 memory: 27786 loss: 0.0502 loss_text: 0.0298 loss_kernel: 0.0205 2022/11/02 02:42:38 - mmengine - INFO - Epoch(train) [325][40/63] lr: 1.0000e-05 eta: 11:02:33 time: 0.7934 data_time: 0.0226 memory: 27786 loss: 0.0529 loss_text: 0.0309 loss_kernel: 0.0219 2022/11/02 02:42:42 - mmengine - INFO - Epoch(train) [325][45/63] lr: 1.0000e-05 eta: 11:02:33 time: 0.7982 data_time: 0.0277 memory: 27786 loss: 0.0508 loss_text: 0.0307 loss_kernel: 0.0200 2022/11/02 02:42:46 - mmengine - INFO - Epoch(train) [325][50/63] lr: 1.0000e-05 eta: 11:01:57 time: 0.8046 data_time: 0.0306 memory: 27786 loss: 0.0434 loss_text: 0.0261 loss_kernel: 0.0173 2022/11/02 02:42:50 - mmengine - INFO - Epoch(train) [325][55/63] lr: 1.0000e-05 eta: 11:01:57 time: 0.7878 data_time: 0.0240 memory: 27786 loss: 0.0470 loss_text: 0.0287 loss_kernel: 0.0183 2022/11/02 02:42:54 - mmengine - INFO - Epoch(train) [325][60/63] lr: 1.0000e-05 eta: 11:01:20 time: 0.7710 data_time: 0.0203 memory: 27786 loss: 0.0639 loss_text: 0.0390 loss_kernel: 0.0249 2022/11/02 02:42:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:44:37 - mmengine - INFO - Epoch(train) [326][5/63] lr: 1.0000e-05 eta: 11:01:20 time: 10.3951 data_time: 9.6649 memory: 27786 loss: 0.0523 loss_text: 0.0310 loss_kernel: 0.0213 2022/11/02 02:44:41 - mmengine - INFO - Epoch(train) [326][10/63] lr: 1.0000e-05 eta: 11:01:58 time: 10.4607 data_time: 9.6879 memory: 27786 loss: 0.0455 loss_text: 0.0272 loss_kernel: 0.0183 2022/11/02 02:44:44 - mmengine - INFO - Epoch(train) [326][15/63] lr: 1.0000e-05 eta: 11:01:58 time: 0.7876 data_time: 0.0307 memory: 27786 loss: 0.0407 loss_text: 0.0239 loss_kernel: 0.0168 2022/11/02 02:44:48 - mmengine - INFO - Epoch(train) [326][20/63] lr: 1.0000e-05 eta: 11:01:21 time: 0.7716 data_time: 0.0189 memory: 27786 loss: 0.0414 loss_text: 0.0248 loss_kernel: 0.0167 2022/11/02 02:44:52 - mmengine - INFO - Epoch(train) [326][25/63] lr: 1.0000e-05 eta: 11:01:21 time: 0.7848 data_time: 0.0331 memory: 27786 loss: 0.0463 loss_text: 0.0289 loss_kernel: 0.0174 2022/11/02 02:44:56 - mmengine - INFO - Epoch(train) [326][30/63] lr: 1.0000e-05 eta: 11:00:44 time: 0.7690 data_time: 0.0196 memory: 27786 loss: 0.0457 loss_text: 0.0279 loss_kernel: 0.0178 2022/11/02 02:45:00 - mmengine - INFO - Epoch(train) [326][35/63] lr: 1.0000e-05 eta: 11:00:44 time: 0.7769 data_time: 0.0188 memory: 27786 loss: 0.0588 loss_text: 0.0359 loss_kernel: 0.0229 2022/11/02 02:45:04 - mmengine - INFO - Epoch(train) [326][40/63] lr: 1.0000e-05 eta: 11:00:08 time: 0.7889 data_time: 0.0220 memory: 27786 loss: 0.0685 loss_text: 0.0422 loss_kernel: 0.0262 2022/11/02 02:45:08 - mmengine - INFO - Epoch(train) [326][45/63] lr: 1.0000e-05 eta: 11:00:08 time: 0.7828 data_time: 0.0208 memory: 27786 loss: 0.0638 loss_text: 0.0392 loss_kernel: 0.0246 2022/11/02 02:45:12 - mmengine - INFO - Epoch(train) [326][50/63] lr: 1.0000e-05 eta: 10:59:32 time: 0.7901 data_time: 0.0322 memory: 27786 loss: 0.0596 loss_text: 0.0372 loss_kernel: 0.0224 2022/11/02 02:45:16 - mmengine - INFO - Epoch(train) [326][55/63] lr: 1.0000e-05 eta: 10:59:32 time: 0.7878 data_time: 0.0211 memory: 27786 loss: 0.0674 loss_text: 0.0431 loss_kernel: 0.0244 2022/11/02 02:45:20 - mmengine - INFO - Epoch(train) [326][60/63] lr: 1.0000e-05 eta: 10:58:55 time: 0.7878 data_time: 0.0135 memory: 27786 loss: 0.0697 loss_text: 0.0442 loss_kernel: 0.0255 2022/11/02 02:45:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:47:01 - mmengine - INFO - Epoch(train) [327][5/63] lr: 1.0000e-05 eta: 10:58:55 time: 10.2330 data_time: 9.4826 memory: 27786 loss: 0.0559 loss_text: 0.0344 loss_kernel: 0.0215 2022/11/02 02:47:04 - mmengine - INFO - Epoch(train) [327][10/63] lr: 1.0000e-05 eta: 10:59:31 time: 10.2661 data_time: 9.4875 memory: 27786 loss: 0.0470 loss_text: 0.0286 loss_kernel: 0.0184 2022/11/02 02:47:09 - mmengine - INFO - Epoch(train) [327][15/63] lr: 1.0000e-05 eta: 10:59:31 time: 0.7970 data_time: 0.0260 memory: 27786 loss: 0.0403 loss_text: 0.0237 loss_kernel: 0.0166 2022/11/02 02:47:12 - mmengine - INFO - Epoch(train) [327][20/63] lr: 1.0000e-05 eta: 10:58:54 time: 0.7940 data_time: 0.0329 memory: 27786 loss: 0.0474 loss_text: 0.0287 loss_kernel: 0.0187 2022/11/02 02:47:16 - mmengine - INFO - Epoch(train) [327][25/63] lr: 1.0000e-05 eta: 10:58:54 time: 0.7903 data_time: 0.0273 memory: 27786 loss: 0.0522 loss_text: 0.0323 loss_kernel: 0.0199 2022/11/02 02:47:20 - mmengine - INFO - Epoch(train) [327][30/63] lr: 1.0000e-05 eta: 10:58:18 time: 0.7966 data_time: 0.0214 memory: 27786 loss: 0.0486 loss_text: 0.0295 loss_kernel: 0.0191 2022/11/02 02:47:24 - mmengine - INFO - Epoch(train) [327][35/63] lr: 1.0000e-05 eta: 10:58:18 time: 0.8028 data_time: 0.0313 memory: 27786 loss: 0.0451 loss_text: 0.0266 loss_kernel: 0.0184 2022/11/02 02:47:28 - mmengine - INFO - Epoch(train) [327][40/63] lr: 1.0000e-05 eta: 10:57:42 time: 0.7927 data_time: 0.0301 memory: 27786 loss: 0.0586 loss_text: 0.0351 loss_kernel: 0.0235 2022/11/02 02:47:32 - mmengine - INFO - Epoch(train) [327][45/63] lr: 1.0000e-05 eta: 10:57:42 time: 0.7833 data_time: 0.0201 memory: 27786 loss: 0.0589 loss_text: 0.0355 loss_kernel: 0.0234 2022/11/02 02:47:36 - mmengine - INFO - Epoch(train) [327][50/63] lr: 1.0000e-05 eta: 10:57:06 time: 0.7884 data_time: 0.0200 memory: 27786 loss: 0.0485 loss_text: 0.0294 loss_kernel: 0.0191 2022/11/02 02:47:40 - mmengine - INFO - Epoch(train) [327][55/63] lr: 1.0000e-05 eta: 10:57:06 time: 0.7932 data_time: 0.0231 memory: 27786 loss: 0.0477 loss_text: 0.0293 loss_kernel: 0.0184 2022/11/02 02:47:44 - mmengine - INFO - Epoch(train) [327][60/63] lr: 1.0000e-05 eta: 10:56:29 time: 0.7937 data_time: 0.0267 memory: 27786 loss: 0.0502 loss_text: 0.0308 loss_kernel: 0.0194 2022/11/02 02:47:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:49:25 - mmengine - INFO - Epoch(train) [328][5/63] lr: 1.0000e-05 eta: 10:56:29 time: 10.2705 data_time: 9.5379 memory: 27786 loss: 0.0604 loss_text: 0.0376 loss_kernel: 0.0228 2022/11/02 02:49:30 - mmengine - INFO - Epoch(train) [328][10/63] lr: 1.0000e-05 eta: 10:57:05 time: 10.3522 data_time: 9.5648 memory: 27786 loss: 0.0616 loss_text: 0.0380 loss_kernel: 0.0235 2022/11/02 02:49:33 - mmengine - INFO - Epoch(train) [328][15/63] lr: 1.0000e-05 eta: 10:57:05 time: 0.8125 data_time: 0.0430 memory: 27786 loss: 0.0510 loss_text: 0.0306 loss_kernel: 0.0204 2022/11/02 02:49:37 - mmengine - INFO - Epoch(train) [328][20/63] lr: 1.0000e-05 eta: 10:56:29 time: 0.7707 data_time: 0.0165 memory: 27786 loss: 0.0477 loss_text: 0.0286 loss_kernel: 0.0191 2022/11/02 02:49:41 - mmengine - INFO - Epoch(train) [328][25/63] lr: 1.0000e-05 eta: 10:56:29 time: 0.7952 data_time: 0.0248 memory: 27786 loss: 0.0483 loss_text: 0.0285 loss_kernel: 0.0198 2022/11/02 02:49:45 - mmengine - INFO - Epoch(train) [328][30/63] lr: 1.0000e-05 eta: 10:55:52 time: 0.8004 data_time: 0.0262 memory: 27786 loss: 0.0446 loss_text: 0.0264 loss_kernel: 0.0183 2022/11/02 02:49:49 - mmengine - INFO - Epoch(train) [328][35/63] lr: 1.0000e-05 eta: 10:55:52 time: 0.7812 data_time: 0.0210 memory: 27786 loss: 0.0401 loss_text: 0.0238 loss_kernel: 0.0163 2022/11/02 02:49:53 - mmengine - INFO - Epoch(train) [328][40/63] lr: 1.0000e-05 eta: 10:55:16 time: 0.7746 data_time: 0.0199 memory: 27786 loss: 0.0401 loss_text: 0.0234 loss_kernel: 0.0167 2022/11/02 02:49:57 - mmengine - INFO - Epoch(train) [328][45/63] lr: 1.0000e-05 eta: 10:55:16 time: 0.7836 data_time: 0.0206 memory: 27786 loss: 0.0555 loss_text: 0.0343 loss_kernel: 0.0212 2022/11/02 02:50:01 - mmengine - INFO - Epoch(train) [328][50/63] lr: 1.0000e-05 eta: 10:54:40 time: 0.7809 data_time: 0.0260 memory: 27786 loss: 0.0581 loss_text: 0.0352 loss_kernel: 0.0229 2022/11/02 02:50:05 - mmengine - INFO - Epoch(train) [328][55/63] lr: 1.0000e-05 eta: 10:54:40 time: 0.7686 data_time: 0.0233 memory: 27786 loss: 0.0522 loss_text: 0.0307 loss_kernel: 0.0215 2022/11/02 02:50:09 - mmengine - INFO - Epoch(train) [328][60/63] lr: 1.0000e-05 eta: 10:54:03 time: 0.7682 data_time: 0.0177 memory: 27786 loss: 0.0506 loss_text: 0.0307 loss_kernel: 0.0199 2022/11/02 02:50:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:51:51 - mmengine - INFO - Epoch(train) [329][5/63] lr: 1.0000e-05 eta: 10:54:03 time: 10.3803 data_time: 9.6564 memory: 27786 loss: 0.0450 loss_text: 0.0261 loss_kernel: 0.0188 2022/11/02 02:51:55 - mmengine - INFO - Epoch(train) [329][10/63] lr: 1.0000e-05 eta: 10:54:40 time: 10.4547 data_time: 9.6792 memory: 27786 loss: 0.0455 loss_text: 0.0264 loss_kernel: 0.0191 2022/11/02 02:51:59 - mmengine - INFO - Epoch(train) [329][15/63] lr: 1.0000e-05 eta: 10:54:40 time: 0.8064 data_time: 0.0325 memory: 27786 loss: 0.0572 loss_text: 0.0353 loss_kernel: 0.0220 2022/11/02 02:52:03 - mmengine - INFO - Epoch(train) [329][20/63] lr: 1.0000e-05 eta: 10:54:04 time: 0.7921 data_time: 0.0259 memory: 27786 loss: 0.0685 loss_text: 0.0428 loss_kernel: 0.0258 2022/11/02 02:52:07 - mmengine - INFO - Epoch(train) [329][25/63] lr: 1.0000e-05 eta: 10:54:04 time: 0.8037 data_time: 0.0424 memory: 27786 loss: 0.0692 loss_text: 0.0437 loss_kernel: 0.0255 2022/11/02 02:52:11 - mmengine - INFO - Epoch(train) [329][30/63] lr: 1.0000e-05 eta: 10:53:27 time: 0.8018 data_time: 0.0262 memory: 27786 loss: 0.0640 loss_text: 0.0403 loss_kernel: 0.0237 2022/11/02 02:52:15 - mmengine - INFO - Epoch(train) [329][35/63] lr: 1.0000e-05 eta: 10:53:27 time: 0.8108 data_time: 0.0179 memory: 27786 loss: 0.0476 loss_text: 0.0289 loss_kernel: 0.0187 2022/11/02 02:52:19 - mmengine - INFO - Epoch(train) [329][40/63] lr: 1.0000e-05 eta: 10:52:51 time: 0.8058 data_time: 0.0233 memory: 27786 loss: 0.0413 loss_text: 0.0243 loss_kernel: 0.0170 2022/11/02 02:52:23 - mmengine - INFO - Epoch(train) [329][45/63] lr: 1.0000e-05 eta: 10:52:51 time: 0.7982 data_time: 0.0272 memory: 27786 loss: 0.0481 loss_text: 0.0287 loss_kernel: 0.0194 2022/11/02 02:52:27 - mmengine - INFO - Epoch(train) [329][50/63] lr: 1.0000e-05 eta: 10:52:15 time: 0.7925 data_time: 0.0253 memory: 27786 loss: 0.0571 loss_text: 0.0340 loss_kernel: 0.0232 2022/11/02 02:52:31 - mmengine - INFO - Epoch(train) [329][55/63] lr: 1.0000e-05 eta: 10:52:15 time: 0.7809 data_time: 0.0175 memory: 27786 loss: 0.0506 loss_text: 0.0294 loss_kernel: 0.0213 2022/11/02 02:52:35 - mmengine - INFO - Epoch(train) [329][60/63] lr: 1.0000e-05 eta: 10:51:39 time: 0.7710 data_time: 0.0169 memory: 27786 loss: 0.0513 loss_text: 0.0312 loss_kernel: 0.0201 2022/11/02 02:52:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:54:17 - mmengine - INFO - Epoch(train) [330][5/63] lr: 1.0000e-05 eta: 10:51:39 time: 10.3908 data_time: 9.6562 memory: 27786 loss: 0.0548 loss_text: 0.0334 loss_kernel: 0.0214 2022/11/02 02:54:21 - mmengine - INFO - Epoch(train) [330][10/63] lr: 1.0000e-05 eta: 10:52:15 time: 10.4491 data_time: 9.6788 memory: 27786 loss: 0.0547 loss_text: 0.0335 loss_kernel: 0.0211 2022/11/02 02:54:25 - mmengine - INFO - Epoch(train) [330][15/63] lr: 1.0000e-05 eta: 10:52:15 time: 0.7896 data_time: 0.0337 memory: 27786 loss: 0.0497 loss_text: 0.0302 loss_kernel: 0.0195 2022/11/02 02:54:29 - mmengine - INFO - Epoch(train) [330][20/63] lr: 1.0000e-05 eta: 10:51:39 time: 0.7824 data_time: 0.0186 memory: 27786 loss: 0.0446 loss_text: 0.0265 loss_kernel: 0.0180 2022/11/02 02:54:33 - mmengine - INFO - Epoch(train) [330][25/63] lr: 1.0000e-05 eta: 10:51:39 time: 0.8053 data_time: 0.0330 memory: 27786 loss: 0.0436 loss_text: 0.0256 loss_kernel: 0.0180 2022/11/02 02:54:37 - mmengine - INFO - Epoch(train) [330][30/63] lr: 1.0000e-05 eta: 10:51:03 time: 0.7955 data_time: 0.0270 memory: 27786 loss: 0.0432 loss_text: 0.0247 loss_kernel: 0.0185 2022/11/02 02:54:41 - mmengine - INFO - Epoch(train) [330][35/63] lr: 1.0000e-05 eta: 10:51:03 time: 0.7790 data_time: 0.0222 memory: 27786 loss: 0.0494 loss_text: 0.0295 loss_kernel: 0.0199 2022/11/02 02:54:45 - mmengine - INFO - Epoch(train) [330][40/63] lr: 1.0000e-05 eta: 10:50:27 time: 0.7805 data_time: 0.0256 memory: 27786 loss: 0.0519 loss_text: 0.0322 loss_kernel: 0.0197 2022/11/02 02:54:49 - mmengine - INFO - Epoch(train) [330][45/63] lr: 1.0000e-05 eta: 10:50:27 time: 0.7759 data_time: 0.0242 memory: 27786 loss: 0.0516 loss_text: 0.0316 loss_kernel: 0.0200 2022/11/02 02:54:53 - mmengine - INFO - Epoch(train) [330][50/63] lr: 1.0000e-05 eta: 10:49:50 time: 0.7692 data_time: 0.0278 memory: 27786 loss: 0.0496 loss_text: 0.0299 loss_kernel: 0.0197 2022/11/02 02:54:56 - mmengine - INFO - Epoch(train) [330][55/63] lr: 1.0000e-05 eta: 10:49:50 time: 0.7590 data_time: 0.0233 memory: 27786 loss: 0.0539 loss_text: 0.0333 loss_kernel: 0.0205 2022/11/02 02:55:00 - mmengine - INFO - Epoch(train) [330][60/63] lr: 1.0000e-05 eta: 10:49:14 time: 0.7600 data_time: 0.0176 memory: 27786 loss: 0.0583 loss_text: 0.0363 loss_kernel: 0.0220 2022/11/02 02:55:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:56:42 - mmengine - INFO - Epoch(train) [331][5/63] lr: 1.0000e-05 eta: 10:49:14 time: 10.3353 data_time: 9.6052 memory: 27786 loss: 0.0516 loss_text: 0.0320 loss_kernel: 0.0196 2022/11/02 02:56:46 - mmengine - INFO - Epoch(train) [331][10/63] lr: 1.0000e-05 eta: 10:49:49 time: 10.3904 data_time: 9.6187 memory: 27786 loss: 0.0522 loss_text: 0.0321 loss_kernel: 0.0202 2022/11/02 02:56:50 - mmengine - INFO - Epoch(train) [331][15/63] lr: 1.0000e-05 eta: 10:49:49 time: 0.7997 data_time: 0.0342 memory: 27786 loss: 0.0488 loss_text: 0.0286 loss_kernel: 0.0203 2022/11/02 02:56:54 - mmengine - INFO - Epoch(train) [331][20/63] lr: 1.0000e-05 eta: 10:49:13 time: 0.8066 data_time: 0.0301 memory: 27786 loss: 0.0448 loss_text: 0.0261 loss_kernel: 0.0187 2022/11/02 02:56:58 - mmengine - INFO - Epoch(train) [331][25/63] lr: 1.0000e-05 eta: 10:49:13 time: 0.8185 data_time: 0.0256 memory: 27786 loss: 0.0415 loss_text: 0.0246 loss_kernel: 0.0169 2022/11/02 02:57:02 - mmengine - INFO - Epoch(train) [331][30/63] lr: 1.0000e-05 eta: 10:48:37 time: 0.8094 data_time: 0.0202 memory: 27786 loss: 0.0401 loss_text: 0.0234 loss_kernel: 0.0167 2022/11/02 02:57:06 - mmengine - INFO - Epoch(train) [331][35/63] lr: 1.0000e-05 eta: 10:48:37 time: 0.7947 data_time: 0.0205 memory: 27786 loss: 0.0418 loss_text: 0.0247 loss_kernel: 0.0171 2022/11/02 02:57:10 - mmengine - INFO - Epoch(train) [331][40/63] lr: 1.0000e-05 eta: 10:48:01 time: 0.7818 data_time: 0.0205 memory: 27786 loss: 0.0435 loss_text: 0.0255 loss_kernel: 0.0180 2022/11/02 02:57:14 - mmengine - INFO - Epoch(train) [331][45/63] lr: 1.0000e-05 eta: 10:48:01 time: 0.7834 data_time: 0.0231 memory: 27786 loss: 0.0446 loss_text: 0.0261 loss_kernel: 0.0185 2022/11/02 02:57:18 - mmengine - INFO - Epoch(train) [331][50/63] lr: 1.0000e-05 eta: 10:47:25 time: 0.8006 data_time: 0.0278 memory: 27786 loss: 0.0480 loss_text: 0.0278 loss_kernel: 0.0201 2022/11/02 02:57:22 - mmengine - INFO - Epoch(train) [331][55/63] lr: 1.0000e-05 eta: 10:47:25 time: 0.7874 data_time: 0.0232 memory: 27786 loss: 0.0502 loss_text: 0.0301 loss_kernel: 0.0201 2022/11/02 02:57:26 - mmengine - INFO - Epoch(train) [331][60/63] lr: 1.0000e-05 eta: 10:46:49 time: 0.7655 data_time: 0.0182 memory: 27786 loss: 0.0469 loss_text: 0.0281 loss_kernel: 0.0188 2022/11/02 02:57:28 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 02:59:09 - mmengine - INFO - Epoch(train) [332][5/63] lr: 1.0000e-05 eta: 10:46:49 time: 10.4896 data_time: 9.7550 memory: 27786 loss: 0.0488 loss_text: 0.0290 loss_kernel: 0.0197 2022/11/02 02:59:13 - mmengine - INFO - Epoch(train) [332][10/63] lr: 1.0000e-05 eta: 10:47:25 time: 10.5486 data_time: 9.7710 memory: 27786 loss: 0.0590 loss_text: 0.0354 loss_kernel: 0.0236 2022/11/02 02:59:17 - mmengine - INFO - Epoch(train) [332][15/63] lr: 1.0000e-05 eta: 10:47:25 time: 0.8128 data_time: 0.0252 memory: 27786 loss: 0.0534 loss_text: 0.0321 loss_kernel: 0.0213 2022/11/02 02:59:21 - mmengine - INFO - Epoch(train) [332][20/63] lr: 1.0000e-05 eta: 10:46:49 time: 0.8066 data_time: 0.0167 memory: 27786 loss: 0.0567 loss_text: 0.0351 loss_kernel: 0.0216 2022/11/02 02:59:25 - mmengine - INFO - Epoch(train) [332][25/63] lr: 1.0000e-05 eta: 10:46:49 time: 0.7949 data_time: 0.0303 memory: 27786 loss: 0.0601 loss_text: 0.0374 loss_kernel: 0.0227 2022/11/02 02:59:29 - mmengine - INFO - Epoch(train) [332][30/63] lr: 1.0000e-05 eta: 10:46:13 time: 0.7865 data_time: 0.0216 memory: 27786 loss: 0.0479 loss_text: 0.0286 loss_kernel: 0.0193 2022/11/02 02:59:33 - mmengine - INFO - Epoch(train) [332][35/63] lr: 1.0000e-05 eta: 10:46:13 time: 0.7865 data_time: 0.0186 memory: 27786 loss: 0.0464 loss_text: 0.0279 loss_kernel: 0.0185 2022/11/02 02:59:37 - mmengine - INFO - Epoch(train) [332][40/63] lr: 1.0000e-05 eta: 10:45:37 time: 0.7836 data_time: 0.0216 memory: 27786 loss: 0.0577 loss_text: 0.0360 loss_kernel: 0.0217 2022/11/02 02:59:41 - mmengine - INFO - Epoch(train) [332][45/63] lr: 1.0000e-05 eta: 10:45:37 time: 0.7800 data_time: 0.0203 memory: 27786 loss: 0.0533 loss_text: 0.0328 loss_kernel: 0.0205 2022/11/02 02:59:45 - mmengine - INFO - Epoch(train) [332][50/63] lr: 1.0000e-05 eta: 10:45:01 time: 0.7792 data_time: 0.0287 memory: 27786 loss: 0.0558 loss_text: 0.0351 loss_kernel: 0.0206 2022/11/02 02:59:49 - mmengine - INFO - Epoch(train) [332][55/63] lr: 1.0000e-05 eta: 10:45:01 time: 0.7725 data_time: 0.0211 memory: 27786 loss: 0.0638 loss_text: 0.0405 loss_kernel: 0.0233 2022/11/02 02:59:53 - mmengine - INFO - Epoch(train) [332][60/63] lr: 1.0000e-05 eta: 10:44:26 time: 0.7840 data_time: 0.0163 memory: 27786 loss: 0.0564 loss_text: 0.0347 loss_kernel: 0.0218 2022/11/02 02:59:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:01:35 - mmengine - INFO - Epoch(train) [333][5/63] lr: 1.0000e-05 eta: 10:44:26 time: 10.3974 data_time: 9.6536 memory: 27786 loss: 0.0407 loss_text: 0.0240 loss_kernel: 0.0167 2022/11/02 03:01:39 - mmengine - INFO - Epoch(train) [333][10/63] lr: 1.0000e-05 eta: 10:45:00 time: 10.4544 data_time: 9.6795 memory: 27786 loss: 0.0458 loss_text: 0.0278 loss_kernel: 0.0181 2022/11/02 03:01:43 - mmengine - INFO - Epoch(train) [333][15/63] lr: 1.0000e-05 eta: 10:45:00 time: 0.8104 data_time: 0.0408 memory: 27786 loss: 0.0464 loss_text: 0.0281 loss_kernel: 0.0183 2022/11/02 03:01:47 - mmengine - INFO - Epoch(train) [333][20/63] lr: 1.0000e-05 eta: 10:44:24 time: 0.7894 data_time: 0.0293 memory: 27786 loss: 0.0442 loss_text: 0.0255 loss_kernel: 0.0187 2022/11/02 03:01:51 - mmengine - INFO - Epoch(train) [333][25/63] lr: 1.0000e-05 eta: 10:44:24 time: 0.7956 data_time: 0.0289 memory: 27786 loss: 0.0463 loss_text: 0.0270 loss_kernel: 0.0193 2022/11/02 03:01:55 - mmengine - INFO - Epoch(train) [333][30/63] lr: 1.0000e-05 eta: 10:43:48 time: 0.8054 data_time: 0.0268 memory: 27786 loss: 0.0446 loss_text: 0.0265 loss_kernel: 0.0181 2022/11/02 03:01:59 - mmengine - INFO - Epoch(train) [333][35/63] lr: 1.0000e-05 eta: 10:43:48 time: 0.8047 data_time: 0.0309 memory: 27786 loss: 0.0444 loss_text: 0.0255 loss_kernel: 0.0189 2022/11/02 03:02:03 - mmengine - INFO - Epoch(train) [333][40/63] lr: 1.0000e-05 eta: 10:43:13 time: 0.7916 data_time: 0.0185 memory: 27786 loss: 0.0518 loss_text: 0.0306 loss_kernel: 0.0212 2022/11/02 03:02:07 - mmengine - INFO - Epoch(train) [333][45/63] lr: 1.0000e-05 eta: 10:43:13 time: 0.7873 data_time: 0.0193 memory: 27786 loss: 0.0545 loss_text: 0.0331 loss_kernel: 0.0214 2022/11/02 03:02:11 - mmengine - INFO - Epoch(train) [333][50/63] lr: 1.0000e-05 eta: 10:42:37 time: 0.7918 data_time: 0.0263 memory: 27786 loss: 0.0551 loss_text: 0.0338 loss_kernel: 0.0213 2022/11/02 03:02:15 - mmengine - INFO - Epoch(train) [333][55/63] lr: 1.0000e-05 eta: 10:42:37 time: 0.7768 data_time: 0.0212 memory: 27786 loss: 0.0576 loss_text: 0.0354 loss_kernel: 0.0222 2022/11/02 03:02:19 - mmengine - INFO - Epoch(train) [333][60/63] lr: 1.0000e-05 eta: 10:42:01 time: 0.7723 data_time: 0.0196 memory: 27786 loss: 0.0504 loss_text: 0.0303 loss_kernel: 0.0201 2022/11/02 03:02:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:04:02 - mmengine - INFO - Epoch(train) [334][5/63] lr: 1.0000e-05 eta: 10:42:01 time: 10.4670 data_time: 9.7247 memory: 27786 loss: 0.0549 loss_text: 0.0334 loss_kernel: 0.0214 2022/11/02 03:04:06 - mmengine - INFO - Epoch(train) [334][10/63] lr: 1.0000e-05 eta: 10:42:36 time: 10.5155 data_time: 9.7408 memory: 27786 loss: 0.0477 loss_text: 0.0284 loss_kernel: 0.0193 2022/11/02 03:04:10 - mmengine - INFO - Epoch(train) [334][15/63] lr: 1.0000e-05 eta: 10:42:36 time: 0.7904 data_time: 0.0260 memory: 27786 loss: 0.0396 loss_text: 0.0226 loss_kernel: 0.0169 2022/11/02 03:04:14 - mmengine - INFO - Epoch(train) [334][20/63] lr: 1.0000e-05 eta: 10:42:00 time: 0.7864 data_time: 0.0247 memory: 27786 loss: 0.0484 loss_text: 0.0287 loss_kernel: 0.0197 2022/11/02 03:04:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:04:18 - mmengine - INFO - Epoch(train) [334][25/63] lr: 1.0000e-05 eta: 10:42:00 time: 0.8124 data_time: 0.0399 memory: 27786 loss: 0.0502 loss_text: 0.0306 loss_kernel: 0.0195 2022/11/02 03:04:22 - mmengine - INFO - Epoch(train) [334][30/63] lr: 1.0000e-05 eta: 10:41:24 time: 0.8011 data_time: 0.0220 memory: 27786 loss: 0.0449 loss_text: 0.0267 loss_kernel: 0.0181 2022/11/02 03:04:26 - mmengine - INFO - Epoch(train) [334][35/63] lr: 1.0000e-05 eta: 10:41:24 time: 0.7870 data_time: 0.0187 memory: 27786 loss: 0.0437 loss_text: 0.0252 loss_kernel: 0.0186 2022/11/02 03:04:30 - mmengine - INFO - Epoch(train) [334][40/63] lr: 1.0000e-05 eta: 10:40:49 time: 0.7874 data_time: 0.0200 memory: 27786 loss: 0.0497 loss_text: 0.0290 loss_kernel: 0.0207 2022/11/02 03:04:34 - mmengine - INFO - Epoch(train) [334][45/63] lr: 1.0000e-05 eta: 10:40:49 time: 0.7842 data_time: 0.0225 memory: 27786 loss: 0.0503 loss_text: 0.0301 loss_kernel: 0.0202 2022/11/02 03:04:38 - mmengine - INFO - Epoch(train) [334][50/63] lr: 1.0000e-05 eta: 10:40:13 time: 0.8068 data_time: 0.0328 memory: 27786 loss: 0.0444 loss_text: 0.0254 loss_kernel: 0.0190 2022/11/02 03:04:42 - mmengine - INFO - Epoch(train) [334][55/63] lr: 1.0000e-05 eta: 10:40:13 time: 0.8055 data_time: 0.0198 memory: 27786 loss: 0.0512 loss_text: 0.0297 loss_kernel: 0.0215 2022/11/02 03:04:46 - mmengine - INFO - Epoch(train) [334][60/63] lr: 1.0000e-05 eta: 10:39:37 time: 0.7842 data_time: 0.0158 memory: 27786 loss: 0.0485 loss_text: 0.0290 loss_kernel: 0.0195 2022/11/02 03:04:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:06:30 - mmengine - INFO - Epoch(train) [335][5/63] lr: 1.0000e-05 eta: 10:39:37 time: 10.5709 data_time: 9.8322 memory: 27786 loss: 0.0518 loss_text: 0.0313 loss_kernel: 0.0205 2022/11/02 03:06:34 - mmengine - INFO - Epoch(train) [335][10/63] lr: 1.0000e-05 eta: 10:40:12 time: 10.6224 data_time: 9.8551 memory: 27786 loss: 0.0509 loss_text: 0.0304 loss_kernel: 0.0206 2022/11/02 03:06:38 - mmengine - INFO - Epoch(train) [335][15/63] lr: 1.0000e-05 eta: 10:40:12 time: 0.7885 data_time: 0.0292 memory: 27786 loss: 0.0417 loss_text: 0.0238 loss_kernel: 0.0179 2022/11/02 03:06:42 - mmengine - INFO - Epoch(train) [335][20/63] lr: 1.0000e-05 eta: 10:39:37 time: 0.7783 data_time: 0.0194 memory: 27786 loss: 0.0485 loss_text: 0.0285 loss_kernel: 0.0199 2022/11/02 03:06:46 - mmengine - INFO - Epoch(train) [335][25/63] lr: 1.0000e-05 eta: 10:39:37 time: 0.7895 data_time: 0.0311 memory: 27786 loss: 0.0473 loss_text: 0.0268 loss_kernel: 0.0205 2022/11/02 03:06:50 - mmengine - INFO - Epoch(train) [335][30/63] lr: 1.0000e-05 eta: 10:39:01 time: 0.7856 data_time: 0.0191 memory: 27786 loss: 0.0448 loss_text: 0.0252 loss_kernel: 0.0196 2022/11/02 03:06:54 - mmengine - INFO - Epoch(train) [335][35/63] lr: 1.0000e-05 eta: 10:39:01 time: 0.8022 data_time: 0.0298 memory: 27786 loss: 0.0424 loss_text: 0.0247 loss_kernel: 0.0177 2022/11/02 03:06:58 - mmengine - INFO - Epoch(train) [335][40/63] lr: 1.0000e-05 eta: 10:38:25 time: 0.8051 data_time: 0.0323 memory: 27786 loss: 0.0409 loss_text: 0.0238 loss_kernel: 0.0171 2022/11/02 03:07:02 - mmengine - INFO - Epoch(train) [335][45/63] lr: 1.0000e-05 eta: 10:38:25 time: 0.7868 data_time: 0.0187 memory: 27786 loss: 0.0414 loss_text: 0.0244 loss_kernel: 0.0170 2022/11/02 03:07:06 - mmengine - INFO - Epoch(train) [335][50/63] lr: 1.0000e-05 eta: 10:37:50 time: 0.8005 data_time: 0.0271 memory: 27786 loss: 0.0433 loss_text: 0.0257 loss_kernel: 0.0177 2022/11/02 03:07:10 - mmengine - INFO - Epoch(train) [335][55/63] lr: 1.0000e-05 eta: 10:37:50 time: 0.7932 data_time: 0.0210 memory: 27786 loss: 0.0458 loss_text: 0.0268 loss_kernel: 0.0190 2022/11/02 03:07:14 - mmengine - INFO - Epoch(train) [335][60/63] lr: 1.0000e-05 eta: 10:37:14 time: 0.7761 data_time: 0.0159 memory: 27786 loss: 0.0656 loss_text: 0.0412 loss_kernel: 0.0244 2022/11/02 03:07:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:08:56 - mmengine - INFO - Epoch(train) [336][5/63] lr: 1.0000e-05 eta: 10:37:14 time: 10.4299 data_time: 9.6951 memory: 27786 loss: 0.0590 loss_text: 0.0372 loss_kernel: 0.0218 2022/11/02 03:09:01 - mmengine - INFO - Epoch(train) [336][10/63] lr: 1.0000e-05 eta: 10:37:48 time: 10.5083 data_time: 9.7262 memory: 27786 loss: 0.0465 loss_text: 0.0280 loss_kernel: 0.0186 2022/11/02 03:09:05 - mmengine - INFO - Epoch(train) [336][15/63] lr: 1.0000e-05 eta: 10:37:48 time: 0.8060 data_time: 0.0390 memory: 27786 loss: 0.0470 loss_text: 0.0282 loss_kernel: 0.0188 2022/11/02 03:09:08 - mmengine - INFO - Epoch(train) [336][20/63] lr: 1.0000e-05 eta: 10:37:12 time: 0.7756 data_time: 0.0182 memory: 27786 loss: 0.0552 loss_text: 0.0341 loss_kernel: 0.0211 2022/11/02 03:09:12 - mmengine - INFO - Epoch(train) [336][25/63] lr: 1.0000e-05 eta: 10:37:12 time: 0.7981 data_time: 0.0304 memory: 27786 loss: 0.0535 loss_text: 0.0331 loss_kernel: 0.0204 2022/11/02 03:09:16 - mmengine - INFO - Epoch(train) [336][30/63] lr: 1.0000e-05 eta: 10:36:37 time: 0.7935 data_time: 0.0202 memory: 27786 loss: 0.0458 loss_text: 0.0272 loss_kernel: 0.0186 2022/11/02 03:09:20 - mmengine - INFO - Epoch(train) [336][35/63] lr: 1.0000e-05 eta: 10:36:37 time: 0.7892 data_time: 0.0184 memory: 27786 loss: 0.0608 loss_text: 0.0376 loss_kernel: 0.0231 2022/11/02 03:09:24 - mmengine - INFO - Epoch(train) [336][40/63] lr: 1.0000e-05 eta: 10:36:01 time: 0.7916 data_time: 0.0210 memory: 27786 loss: 0.0578 loss_text: 0.0349 loss_kernel: 0.0229 2022/11/02 03:09:28 - mmengine - INFO - Epoch(train) [336][45/63] lr: 1.0000e-05 eta: 10:36:01 time: 0.7845 data_time: 0.0206 memory: 27786 loss: 0.0500 loss_text: 0.0297 loss_kernel: 0.0203 2022/11/02 03:09:32 - mmengine - INFO - Epoch(train) [336][50/63] lr: 1.0000e-05 eta: 10:35:26 time: 0.7903 data_time: 0.0289 memory: 27786 loss: 0.0562 loss_text: 0.0344 loss_kernel: 0.0218 2022/11/02 03:09:36 - mmengine - INFO - Epoch(train) [336][55/63] lr: 1.0000e-05 eta: 10:35:26 time: 0.7791 data_time: 0.0220 memory: 27786 loss: 0.0500 loss_text: 0.0294 loss_kernel: 0.0206 2022/11/02 03:09:40 - mmengine - INFO - Epoch(train) [336][60/63] lr: 1.0000e-05 eta: 10:34:50 time: 0.7648 data_time: 0.0156 memory: 27786 loss: 0.0486 loss_text: 0.0288 loss_kernel: 0.0198 2022/11/02 03:09:42 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:11:22 - mmengine - INFO - Epoch(train) [337][5/63] lr: 1.0000e-05 eta: 10:34:50 time: 10.3796 data_time: 9.6465 memory: 27786 loss: 0.0450 loss_text: 0.0267 loss_kernel: 0.0183 2022/11/02 03:11:26 - mmengine - INFO - Epoch(train) [337][10/63] lr: 1.0000e-05 eta: 10:35:23 time: 10.4354 data_time: 9.6632 memory: 27786 loss: 0.0439 loss_text: 0.0261 loss_kernel: 0.0178 2022/11/02 03:11:30 - mmengine - INFO - Epoch(train) [337][15/63] lr: 1.0000e-05 eta: 10:35:23 time: 0.7926 data_time: 0.0277 memory: 27786 loss: 0.0447 loss_text: 0.0269 loss_kernel: 0.0179 2022/11/02 03:11:34 - mmengine - INFO - Epoch(train) [337][20/63] lr: 1.0000e-05 eta: 10:34:47 time: 0.7882 data_time: 0.0186 memory: 27786 loss: 0.0414 loss_text: 0.0243 loss_kernel: 0.0171 2022/11/02 03:11:38 - mmengine - INFO - Epoch(train) [337][25/63] lr: 1.0000e-05 eta: 10:34:47 time: 0.7987 data_time: 0.0273 memory: 27786 loss: 0.0418 loss_text: 0.0245 loss_kernel: 0.0174 2022/11/02 03:11:42 - mmengine - INFO - Epoch(train) [337][30/63] lr: 1.0000e-05 eta: 10:34:12 time: 0.7903 data_time: 0.0206 memory: 27786 loss: 0.0458 loss_text: 0.0277 loss_kernel: 0.0181 2022/11/02 03:11:46 - mmengine - INFO - Epoch(train) [337][35/63] lr: 1.0000e-05 eta: 10:34:12 time: 0.7940 data_time: 0.0197 memory: 27786 loss: 0.0539 loss_text: 0.0334 loss_kernel: 0.0206 2022/11/02 03:11:50 - mmengine - INFO - Epoch(train) [337][40/63] lr: 1.0000e-05 eta: 10:33:36 time: 0.8186 data_time: 0.0283 memory: 27786 loss: 0.0496 loss_text: 0.0301 loss_kernel: 0.0196 2022/11/02 03:11:54 - mmengine - INFO - Epoch(train) [337][45/63] lr: 1.0000e-05 eta: 10:33:36 time: 0.8052 data_time: 0.0206 memory: 27786 loss: 0.0555 loss_text: 0.0342 loss_kernel: 0.0213 2022/11/02 03:11:58 - mmengine - INFO - Epoch(train) [337][50/63] lr: 1.0000e-05 eta: 10:33:01 time: 0.7807 data_time: 0.0203 memory: 27786 loss: 0.0546 loss_text: 0.0329 loss_kernel: 0.0217 2022/11/02 03:12:02 - mmengine - INFO - Epoch(train) [337][55/63] lr: 1.0000e-05 eta: 10:33:01 time: 0.7728 data_time: 0.0213 memory: 27786 loss: 0.0566 loss_text: 0.0337 loss_kernel: 0.0229 2022/11/02 03:12:06 - mmengine - INFO - Epoch(train) [337][60/63] lr: 1.0000e-05 eta: 10:32:25 time: 0.7556 data_time: 0.0143 memory: 27786 loss: 0.0608 loss_text: 0.0373 loss_kernel: 0.0235 2022/11/02 03:12:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:13:47 - mmengine - INFO - Epoch(train) [338][5/63] lr: 1.0000e-05 eta: 10:32:25 time: 10.2719 data_time: 9.5406 memory: 27786 loss: 0.0457 loss_text: 0.0277 loss_kernel: 0.0180 2022/11/02 03:13:51 - mmengine - INFO - Epoch(train) [338][10/63] lr: 1.0000e-05 eta: 10:32:56 time: 10.3298 data_time: 9.5468 memory: 27786 loss: 0.0433 loss_text: 0.0254 loss_kernel: 0.0179 2022/11/02 03:13:55 - mmengine - INFO - Epoch(train) [338][15/63] lr: 1.0000e-05 eta: 10:32:56 time: 0.7936 data_time: 0.0257 memory: 27786 loss: 0.0555 loss_text: 0.0341 loss_kernel: 0.0214 2022/11/02 03:13:59 - mmengine - INFO - Epoch(train) [338][20/63] lr: 1.0000e-05 eta: 10:32:21 time: 0.7897 data_time: 0.0272 memory: 27786 loss: 0.0584 loss_text: 0.0362 loss_kernel: 0.0222 2022/11/02 03:14:03 - mmengine - INFO - Epoch(train) [338][25/63] lr: 1.0000e-05 eta: 10:32:21 time: 0.7812 data_time: 0.0284 memory: 27786 loss: 0.0514 loss_text: 0.0310 loss_kernel: 0.0204 2022/11/02 03:14:07 - mmengine - INFO - Epoch(train) [338][30/63] lr: 1.0000e-05 eta: 10:31:46 time: 0.7730 data_time: 0.0282 memory: 27786 loss: 0.0508 loss_text: 0.0311 loss_kernel: 0.0197 2022/11/02 03:14:11 - mmengine - INFO - Epoch(train) [338][35/63] lr: 1.0000e-05 eta: 10:31:46 time: 0.7771 data_time: 0.0194 memory: 27786 loss: 0.0488 loss_text: 0.0297 loss_kernel: 0.0191 2022/11/02 03:14:14 - mmengine - INFO - Epoch(train) [338][40/63] lr: 1.0000e-05 eta: 10:31:10 time: 0.7896 data_time: 0.0225 memory: 27786 loss: 0.0453 loss_text: 0.0267 loss_kernel: 0.0186 2022/11/02 03:14:19 - mmengine - INFO - Epoch(train) [338][45/63] lr: 1.0000e-05 eta: 10:31:10 time: 0.8078 data_time: 0.0322 memory: 27786 loss: 0.0458 loss_text: 0.0257 loss_kernel: 0.0201 2022/11/02 03:14:23 - mmengine - INFO - Epoch(train) [338][50/63] lr: 1.0000e-05 eta: 10:30:35 time: 0.8032 data_time: 0.0246 memory: 27786 loss: 0.0471 loss_text: 0.0266 loss_kernel: 0.0205 2022/11/02 03:14:26 - mmengine - INFO - Epoch(train) [338][55/63] lr: 1.0000e-05 eta: 10:30:35 time: 0.7831 data_time: 0.0182 memory: 27786 loss: 0.0486 loss_text: 0.0292 loss_kernel: 0.0194 2022/11/02 03:14:30 - mmengine - INFO - Epoch(train) [338][60/63] lr: 1.0000e-05 eta: 10:30:00 time: 0.7801 data_time: 0.0182 memory: 27786 loss: 0.0476 loss_text: 0.0279 loss_kernel: 0.0196 2022/11/02 03:14:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:16:14 - mmengine - INFO - Epoch(train) [339][5/63] lr: 1.0000e-05 eta: 10:30:00 time: 10.5349 data_time: 9.7876 memory: 27786 loss: 0.0427 loss_text: 0.0244 loss_kernel: 0.0183 2022/11/02 03:16:18 - mmengine - INFO - Epoch(train) [339][10/63] lr: 1.0000e-05 eta: 10:30:33 time: 10.5911 data_time: 9.8044 memory: 27786 loss: 0.0395 loss_text: 0.0231 loss_kernel: 0.0164 2022/11/02 03:16:22 - mmengine - INFO - Epoch(train) [339][15/63] lr: 1.0000e-05 eta: 10:30:33 time: 0.7953 data_time: 0.0283 memory: 27786 loss: 0.0428 loss_text: 0.0254 loss_kernel: 0.0174 2022/11/02 03:16:26 - mmengine - INFO - Epoch(train) [339][20/63] lr: 1.0000e-05 eta: 10:29:57 time: 0.7951 data_time: 0.0284 memory: 27786 loss: 0.0452 loss_text: 0.0261 loss_kernel: 0.0191 2022/11/02 03:16:30 - mmengine - INFO - Epoch(train) [339][25/63] lr: 1.0000e-05 eta: 10:29:57 time: 0.8021 data_time: 0.0376 memory: 27786 loss: 0.0429 loss_text: 0.0237 loss_kernel: 0.0192 2022/11/02 03:16:34 - mmengine - INFO - Epoch(train) [339][30/63] lr: 1.0000e-05 eta: 10:29:22 time: 0.7704 data_time: 0.0187 memory: 27786 loss: 0.0491 loss_text: 0.0282 loss_kernel: 0.0209 2022/11/02 03:16:38 - mmengine - INFO - Epoch(train) [339][35/63] lr: 1.0000e-05 eta: 10:29:22 time: 0.7843 data_time: 0.0218 memory: 27786 loss: 0.0600 loss_text: 0.0362 loss_kernel: 0.0237 2022/11/02 03:16:42 - mmengine - INFO - Epoch(train) [339][40/63] lr: 1.0000e-05 eta: 10:28:47 time: 0.7913 data_time: 0.0235 memory: 27786 loss: 0.0600 loss_text: 0.0374 loss_kernel: 0.0226 2022/11/02 03:16:46 - mmengine - INFO - Epoch(train) [339][45/63] lr: 1.0000e-05 eta: 10:28:47 time: 0.7765 data_time: 0.0196 memory: 27786 loss: 0.0480 loss_text: 0.0291 loss_kernel: 0.0189 2022/11/02 03:16:50 - mmengine - INFO - Epoch(train) [339][50/63] lr: 1.0000e-05 eta: 10:28:12 time: 0.7898 data_time: 0.0277 memory: 27786 loss: 0.0464 loss_text: 0.0279 loss_kernel: 0.0184 2022/11/02 03:16:54 - mmengine - INFO - Epoch(train) [339][55/63] lr: 1.0000e-05 eta: 10:28:12 time: 0.7903 data_time: 0.0215 memory: 27786 loss: 0.0486 loss_text: 0.0293 loss_kernel: 0.0193 2022/11/02 03:16:58 - mmengine - INFO - Epoch(train) [339][60/63] lr: 1.0000e-05 eta: 10:27:36 time: 0.7793 data_time: 0.0149 memory: 27786 loss: 0.0483 loss_text: 0.0290 loss_kernel: 0.0193 2022/11/02 03:17:00 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:18:40 - mmengine - INFO - Epoch(train) [340][5/63] lr: 1.0000e-05 eta: 10:27:36 time: 10.3612 data_time: 9.6214 memory: 27786 loss: 0.0471 loss_text: 0.0283 loss_kernel: 0.0187 2022/11/02 03:18:44 - mmengine - INFO - Epoch(train) [340][10/63] lr: 1.0000e-05 eta: 10:28:07 time: 10.4195 data_time: 9.6437 memory: 27786 loss: 0.0545 loss_text: 0.0340 loss_kernel: 0.0204 2022/11/02 03:18:48 - mmengine - INFO - Epoch(train) [340][15/63] lr: 1.0000e-05 eta: 10:28:07 time: 0.7987 data_time: 0.0323 memory: 27786 loss: 0.0554 loss_text: 0.0342 loss_kernel: 0.0212 2022/11/02 03:18:52 - mmengine - INFO - Epoch(train) [340][20/63] lr: 1.0000e-05 eta: 10:27:32 time: 0.8043 data_time: 0.0275 memory: 27786 loss: 0.0601 loss_text: 0.0372 loss_kernel: 0.0229 2022/11/02 03:18:56 - mmengine - INFO - Epoch(train) [340][25/63] lr: 1.0000e-05 eta: 10:27:32 time: 0.8084 data_time: 0.0299 memory: 27786 loss: 0.0565 loss_text: 0.0344 loss_kernel: 0.0221 2022/11/02 03:19:00 - mmengine - INFO - Epoch(train) [340][30/63] lr: 1.0000e-05 eta: 10:26:57 time: 0.7886 data_time: 0.0218 memory: 27786 loss: 0.0516 loss_text: 0.0307 loss_kernel: 0.0209 2022/11/02 03:19:04 - mmengine - INFO - Epoch(train) [340][35/63] lr: 1.0000e-05 eta: 10:26:57 time: 0.7823 data_time: 0.0283 memory: 27786 loss: 0.0626 loss_text: 0.0386 loss_kernel: 0.0241 2022/11/02 03:19:08 - mmengine - INFO - Epoch(train) [340][40/63] lr: 1.0000e-05 eta: 10:26:22 time: 0.7861 data_time: 0.0211 memory: 27786 loss: 0.0556 loss_text: 0.0342 loss_kernel: 0.0214 2022/11/02 03:19:12 - mmengine - INFO - Epoch(train) [340][45/63] lr: 1.0000e-05 eta: 10:26:22 time: 0.7936 data_time: 0.0195 memory: 27786 loss: 0.0419 loss_text: 0.0252 loss_kernel: 0.0166 2022/11/02 03:19:16 - mmengine - INFO - Epoch(train) [340][50/63] lr: 1.0000e-05 eta: 10:25:47 time: 0.7957 data_time: 0.0292 memory: 27786 loss: 0.0455 loss_text: 0.0271 loss_kernel: 0.0184 2022/11/02 03:19:19 - mmengine - INFO - Epoch(train) [340][55/63] lr: 1.0000e-05 eta: 10:25:47 time: 0.7788 data_time: 0.0246 memory: 27786 loss: 0.0443 loss_text: 0.0259 loss_kernel: 0.0184 2022/11/02 03:19:23 - mmengine - INFO - Epoch(train) [340][60/63] lr: 1.0000e-05 eta: 10:25:11 time: 0.7608 data_time: 0.0180 memory: 27786 loss: 0.0541 loss_text: 0.0324 loss_kernel: 0.0218 2022/11/02 03:19:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:19:25 - mmengine - INFO - Saving checkpoint at 340 epochs 2022/11/02 03:21:10 - mmengine - INFO - Epoch(train) [341][5/63] lr: 1.0000e-05 eta: 10:25:11 time: 10.3635 data_time: 9.6258 memory: 27786 loss: 0.0514 loss_text: 0.0302 loss_kernel: 0.0212 2022/11/02 03:21:14 - mmengine - INFO - Epoch(train) [341][10/63] lr: 1.0000e-05 eta: 10:25:42 time: 10.4307 data_time: 9.6484 memory: 27786 loss: 0.0428 loss_text: 0.0255 loss_kernel: 0.0173 2022/11/02 03:21:18 - mmengine - INFO - Epoch(train) [341][15/63] lr: 1.0000e-05 eta: 10:25:42 time: 0.7978 data_time: 0.0308 memory: 27786 loss: 0.0495 loss_text: 0.0297 loss_kernel: 0.0198 2022/11/02 03:21:22 - mmengine - INFO - Epoch(train) [341][20/63] lr: 1.0000e-05 eta: 10:25:07 time: 0.7815 data_time: 0.0202 memory: 27786 loss: 0.0561 loss_text: 0.0343 loss_kernel: 0.0217 2022/11/02 03:21:26 - mmengine - INFO - Epoch(train) [341][25/63] lr: 1.0000e-05 eta: 10:25:07 time: 0.7953 data_time: 0.0353 memory: 27786 loss: 0.0481 loss_text: 0.0291 loss_kernel: 0.0189 2022/11/02 03:21:30 - mmengine - INFO - Epoch(train) [341][30/63] lr: 1.0000e-05 eta: 10:24:32 time: 0.7807 data_time: 0.0234 memory: 27786 loss: 0.0527 loss_text: 0.0315 loss_kernel: 0.0212 2022/11/02 03:21:34 - mmengine - INFO - Epoch(train) [341][35/63] lr: 1.0000e-05 eta: 10:24:32 time: 0.7831 data_time: 0.0208 memory: 27786 loss: 0.0544 loss_text: 0.0319 loss_kernel: 0.0225 2022/11/02 03:21:38 - mmengine - INFO - Epoch(train) [341][40/63] lr: 1.0000e-05 eta: 10:23:57 time: 0.8028 data_time: 0.0253 memory: 27786 loss: 0.0562 loss_text: 0.0341 loss_kernel: 0.0221 2022/11/02 03:21:42 - mmengine - INFO - Epoch(train) [341][45/63] lr: 1.0000e-05 eta: 10:23:57 time: 0.8029 data_time: 0.0197 memory: 27786 loss: 0.0555 loss_text: 0.0341 loss_kernel: 0.0215 2022/11/02 03:21:46 - mmengine - INFO - Epoch(train) [341][50/63] lr: 1.0000e-05 eta: 10:23:22 time: 0.8061 data_time: 0.0276 memory: 27786 loss: 0.0436 loss_text: 0.0257 loss_kernel: 0.0179 2022/11/02 03:21:50 - mmengine - INFO - Epoch(train) [341][55/63] lr: 1.0000e-05 eta: 10:23:22 time: 0.7959 data_time: 0.0256 memory: 27786 loss: 0.0456 loss_text: 0.0271 loss_kernel: 0.0185 2022/11/02 03:21:54 - mmengine - INFO - Epoch(train) [341][60/63] lr: 1.0000e-05 eta: 10:22:47 time: 0.7755 data_time: 0.0177 memory: 27786 loss: 0.0500 loss_text: 0.0300 loss_kernel: 0.0201 2022/11/02 03:21:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:23:36 - mmengine - INFO - Epoch(train) [342][5/63] lr: 1.0000e-05 eta: 10:22:47 time: 10.3085 data_time: 9.5685 memory: 27786 loss: 0.0434 loss_text: 0.0250 loss_kernel: 0.0183 2022/11/02 03:23:40 - mmengine - INFO - Epoch(train) [342][10/63] lr: 1.0000e-05 eta: 10:23:17 time: 10.3668 data_time: 9.5851 memory: 27786 loss: 0.0531 loss_text: 0.0325 loss_kernel: 0.0206 2022/11/02 03:23:44 - mmengine - INFO - Epoch(train) [342][15/63] lr: 1.0000e-05 eta: 10:23:17 time: 0.7995 data_time: 0.0297 memory: 27786 loss: 0.0525 loss_text: 0.0322 loss_kernel: 0.0203 2022/11/02 03:23:48 - mmengine - INFO - Epoch(train) [342][20/63] lr: 1.0000e-05 eta: 10:22:42 time: 0.7899 data_time: 0.0275 memory: 27786 loss: 0.0473 loss_text: 0.0285 loss_kernel: 0.0188 2022/11/02 03:23:52 - mmengine - INFO - Epoch(train) [342][25/63] lr: 1.0000e-05 eta: 10:22:42 time: 0.7966 data_time: 0.0316 memory: 27786 loss: 0.0480 loss_text: 0.0285 loss_kernel: 0.0195 2022/11/02 03:23:55 - mmengine - INFO - Epoch(train) [342][30/63] lr: 1.0000e-05 eta: 10:22:07 time: 0.7858 data_time: 0.0254 memory: 27786 loss: 0.0491 loss_text: 0.0288 loss_kernel: 0.0203 2022/11/02 03:23:59 - mmengine - INFO - Epoch(train) [342][35/63] lr: 1.0000e-05 eta: 10:22:07 time: 0.7824 data_time: 0.0288 memory: 27786 loss: 0.0586 loss_text: 0.0356 loss_kernel: 0.0229 2022/11/02 03:24:03 - mmengine - INFO - Epoch(train) [342][40/63] lr: 1.0000e-05 eta: 10:21:31 time: 0.7871 data_time: 0.0224 memory: 27786 loss: 0.0501 loss_text: 0.0300 loss_kernel: 0.0201 2022/11/02 03:24:07 - mmengine - INFO - Epoch(train) [342][45/63] lr: 1.0000e-05 eta: 10:21:31 time: 0.7892 data_time: 0.0195 memory: 27786 loss: 0.0415 loss_text: 0.0244 loss_kernel: 0.0170 2022/11/02 03:24:11 - mmengine - INFO - Epoch(train) [342][50/63] lr: 1.0000e-05 eta: 10:20:57 time: 0.8105 data_time: 0.0407 memory: 27786 loss: 0.0579 loss_text: 0.0363 loss_kernel: 0.0216 2022/11/02 03:24:15 - mmengine - INFO - Epoch(train) [342][55/63] lr: 1.0000e-05 eta: 10:20:57 time: 0.8102 data_time: 0.0344 memory: 27786 loss: 0.0596 loss_text: 0.0370 loss_kernel: 0.0226 2022/11/02 03:24:19 - mmengine - INFO - Epoch(train) [342][60/63] lr: 1.0000e-05 eta: 10:20:22 time: 0.7807 data_time: 0.0161 memory: 27786 loss: 0.0457 loss_text: 0.0262 loss_kernel: 0.0195 2022/11/02 03:24:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:26:02 - mmengine - INFO - Epoch(train) [343][5/63] lr: 1.0000e-05 eta: 10:20:22 time: 10.3723 data_time: 9.6296 memory: 27786 loss: 0.0506 loss_text: 0.0310 loss_kernel: 0.0197 2022/11/02 03:26:06 - mmengine - INFO - Epoch(train) [343][10/63] lr: 1.0000e-05 eta: 10:20:52 time: 10.4337 data_time: 9.6494 memory: 27786 loss: 0.0492 loss_text: 0.0288 loss_kernel: 0.0204 2022/11/02 03:26:09 - mmengine - INFO - Epoch(train) [343][15/63] lr: 1.0000e-05 eta: 10:20:52 time: 0.7924 data_time: 0.0279 memory: 27786 loss: 0.0495 loss_text: 0.0290 loss_kernel: 0.0205 2022/11/02 03:26:13 - mmengine - INFO - Epoch(train) [343][20/63] lr: 1.0000e-05 eta: 10:20:17 time: 0.7795 data_time: 0.0233 memory: 27786 loss: 0.0549 loss_text: 0.0339 loss_kernel: 0.0211 2022/11/02 03:26:17 - mmengine - INFO - Epoch(train) [343][25/63] lr: 1.0000e-05 eta: 10:20:17 time: 0.7848 data_time: 0.0338 memory: 27786 loss: 0.0474 loss_text: 0.0283 loss_kernel: 0.0191 2022/11/02 03:26:21 - mmengine - INFO - Epoch(train) [343][30/63] lr: 1.0000e-05 eta: 10:19:41 time: 0.7621 data_time: 0.0202 memory: 27786 loss: 0.0461 loss_text: 0.0278 loss_kernel: 0.0183 2022/11/02 03:26:25 - mmengine - INFO - Epoch(train) [343][35/63] lr: 1.0000e-05 eta: 10:19:41 time: 0.7694 data_time: 0.0232 memory: 27786 loss: 0.0564 loss_text: 0.0359 loss_kernel: 0.0206 2022/11/02 03:26:29 - mmengine - INFO - Epoch(train) [343][40/63] lr: 1.0000e-05 eta: 10:19:06 time: 0.7795 data_time: 0.0217 memory: 27786 loss: 0.0536 loss_text: 0.0338 loss_kernel: 0.0198 2022/11/02 03:26:33 - mmengine - INFO - Epoch(train) [343][45/63] lr: 1.0000e-05 eta: 10:19:06 time: 0.7884 data_time: 0.0192 memory: 27786 loss: 0.0570 loss_text: 0.0353 loss_kernel: 0.0217 2022/11/02 03:26:37 - mmengine - INFO - Epoch(train) [343][50/63] lr: 1.0000e-05 eta: 10:18:32 time: 0.8012 data_time: 0.0310 memory: 27786 loss: 0.0569 loss_text: 0.0354 loss_kernel: 0.0214 2022/11/02 03:26:41 - mmengine - INFO - Epoch(train) [343][55/63] lr: 1.0000e-05 eta: 10:18:32 time: 0.7771 data_time: 0.0212 memory: 27786 loss: 0.0619 loss_text: 0.0392 loss_kernel: 0.0227 2022/11/02 03:26:45 - mmengine - INFO - Epoch(train) [343][60/63] lr: 1.0000e-05 eta: 10:17:57 time: 0.7679 data_time: 0.0156 memory: 27786 loss: 0.0582 loss_text: 0.0365 loss_kernel: 0.0216 2022/11/02 03:26:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:28:27 - mmengine - INFO - Epoch(train) [344][5/63] lr: 1.0000e-05 eta: 10:17:57 time: 10.3646 data_time: 9.6372 memory: 27786 loss: 0.0433 loss_text: 0.0246 loss_kernel: 0.0187 2022/11/02 03:28:31 - mmengine - INFO - Epoch(train) [344][10/63] lr: 1.0000e-05 eta: 10:18:26 time: 10.4315 data_time: 9.6573 memory: 27786 loss: 0.0434 loss_text: 0.0245 loss_kernel: 0.0189 2022/11/02 03:28:35 - mmengine - INFO - Epoch(train) [344][15/63] lr: 1.0000e-05 eta: 10:18:26 time: 0.7906 data_time: 0.0261 memory: 27786 loss: 0.0457 loss_text: 0.0268 loss_kernel: 0.0189 2022/11/02 03:28:39 - mmengine - INFO - Epoch(train) [344][20/63] lr: 1.0000e-05 eta: 10:17:51 time: 0.7713 data_time: 0.0162 memory: 27786 loss: 0.0584 loss_text: 0.0361 loss_kernel: 0.0222 2022/11/02 03:28:43 - mmengine - INFO - Epoch(train) [344][25/63] lr: 1.0000e-05 eta: 10:17:51 time: 0.7882 data_time: 0.0272 memory: 27786 loss: 0.0646 loss_text: 0.0408 loss_kernel: 0.0238 2022/11/02 03:28:46 - mmengine - INFO - Epoch(train) [344][30/63] lr: 1.0000e-05 eta: 10:17:16 time: 0.7888 data_time: 0.0211 memory: 27786 loss: 0.0540 loss_text: 0.0331 loss_kernel: 0.0209 2022/11/02 03:28:51 - mmengine - INFO - Epoch(train) [344][35/63] lr: 1.0000e-05 eta: 10:17:16 time: 0.7973 data_time: 0.0228 memory: 27786 loss: 0.0483 loss_text: 0.0293 loss_kernel: 0.0190 2022/11/02 03:28:54 - mmengine - INFO - Epoch(train) [344][40/63] lr: 1.0000e-05 eta: 10:16:42 time: 0.8044 data_time: 0.0245 memory: 27786 loss: 0.0476 loss_text: 0.0289 loss_kernel: 0.0187 2022/11/02 03:28:58 - mmengine - INFO - Epoch(train) [344][45/63] lr: 1.0000e-05 eta: 10:16:42 time: 0.7869 data_time: 0.0257 memory: 27786 loss: 0.0487 loss_text: 0.0294 loss_kernel: 0.0193 2022/11/02 03:29:02 - mmengine - INFO - Epoch(train) [344][50/63] lr: 1.0000e-05 eta: 10:16:07 time: 0.7836 data_time: 0.0315 memory: 27786 loss: 0.0509 loss_text: 0.0310 loss_kernel: 0.0200 2022/11/02 03:29:06 - mmengine - INFO - Epoch(train) [344][55/63] lr: 1.0000e-05 eta: 10:16:07 time: 0.7748 data_time: 0.0211 memory: 27786 loss: 0.0489 loss_text: 0.0299 loss_kernel: 0.0190 2022/11/02 03:29:10 - mmengine - INFO - Epoch(train) [344][60/63] lr: 1.0000e-05 eta: 10:15:32 time: 0.7741 data_time: 0.0204 memory: 27786 loss: 0.0515 loss_text: 0.0318 loss_kernel: 0.0197 2022/11/02 03:29:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:30:53 - mmengine - INFO - Epoch(train) [345][5/63] lr: 1.0000e-05 eta: 10:15:32 time: 10.4590 data_time: 9.7293 memory: 27786 loss: 0.0470 loss_text: 0.0282 loss_kernel: 0.0189 2022/11/02 03:30:57 - mmengine - INFO - Epoch(train) [345][10/63] lr: 1.0000e-05 eta: 10:16:02 time: 10.5245 data_time: 9.7479 memory: 27786 loss: 0.0526 loss_text: 0.0321 loss_kernel: 0.0205 2022/11/02 03:31:01 - mmengine - INFO - Epoch(train) [345][15/63] lr: 1.0000e-05 eta: 10:16:02 time: 0.8125 data_time: 0.0277 memory: 27786 loss: 0.0474 loss_text: 0.0287 loss_kernel: 0.0187 2022/11/02 03:31:05 - mmengine - INFO - Epoch(train) [345][20/63] lr: 1.0000e-05 eta: 10:15:27 time: 0.8004 data_time: 0.0178 memory: 27786 loss: 0.0421 loss_text: 0.0244 loss_kernel: 0.0177 2022/11/02 03:31:09 - mmengine - INFO - Epoch(train) [345][25/63] lr: 1.0000e-05 eta: 10:15:27 time: 0.7922 data_time: 0.0289 memory: 27786 loss: 0.0415 loss_text: 0.0242 loss_kernel: 0.0173 2022/11/02 03:31:13 - mmengine - INFO - Epoch(train) [345][30/63] lr: 1.0000e-05 eta: 10:14:52 time: 0.7795 data_time: 0.0192 memory: 27786 loss: 0.0531 loss_text: 0.0327 loss_kernel: 0.0204 2022/11/02 03:31:17 - mmengine - INFO - Epoch(train) [345][35/63] lr: 1.0000e-05 eta: 10:14:52 time: 0.7826 data_time: 0.0182 memory: 27786 loss: 0.0540 loss_text: 0.0322 loss_kernel: 0.0218 2022/11/02 03:31:21 - mmengine - INFO - Epoch(train) [345][40/63] lr: 1.0000e-05 eta: 10:14:17 time: 0.7864 data_time: 0.0210 memory: 27786 loss: 0.0531 loss_text: 0.0316 loss_kernel: 0.0216 2022/11/02 03:31:25 - mmengine - INFO - Epoch(train) [345][45/63] lr: 1.0000e-05 eta: 10:14:17 time: 0.7834 data_time: 0.0188 memory: 27786 loss: 0.0582 loss_text: 0.0360 loss_kernel: 0.0221 2022/11/02 03:31:29 - mmengine - INFO - Epoch(train) [345][50/63] lr: 1.0000e-05 eta: 10:13:43 time: 0.7919 data_time: 0.0301 memory: 27786 loss: 0.0544 loss_text: 0.0338 loss_kernel: 0.0206 2022/11/02 03:31:33 - mmengine - INFO - Epoch(train) [345][55/63] lr: 1.0000e-05 eta: 10:13:43 time: 0.7841 data_time: 0.0239 memory: 27786 loss: 0.0493 loss_text: 0.0302 loss_kernel: 0.0192 2022/11/02 03:31:37 - mmengine - INFO - Epoch(train) [345][60/63] lr: 1.0000e-05 eta: 10:13:08 time: 0.7779 data_time: 0.0207 memory: 27786 loss: 0.0422 loss_text: 0.0251 loss_kernel: 0.0171 2022/11/02 03:31:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:33:18 - mmengine - INFO - Epoch(train) [346][5/63] lr: 1.0000e-05 eta: 10:13:08 time: 10.3223 data_time: 9.5853 memory: 27786 loss: 0.0530 loss_text: 0.0328 loss_kernel: 0.0202 2022/11/02 03:33:22 - mmengine - INFO - Epoch(train) [346][10/63] lr: 1.0000e-05 eta: 10:13:36 time: 10.3690 data_time: 9.5971 memory: 27786 loss: 0.0602 loss_text: 0.0376 loss_kernel: 0.0226 2022/11/02 03:33:26 - mmengine - INFO - Epoch(train) [346][15/63] lr: 1.0000e-05 eta: 10:13:36 time: 0.7892 data_time: 0.0248 memory: 27786 loss: 0.0479 loss_text: 0.0286 loss_kernel: 0.0193 2022/11/02 03:33:30 - mmengine - INFO - Epoch(train) [346][20/63] lr: 1.0000e-05 eta: 10:13:01 time: 0.7944 data_time: 0.0262 memory: 27786 loss: 0.0531 loss_text: 0.0315 loss_kernel: 0.0216 2022/11/02 03:33:34 - mmengine - INFO - Epoch(train) [346][25/63] lr: 1.0000e-05 eta: 10:13:01 time: 0.8035 data_time: 0.0301 memory: 27786 loss: 0.0534 loss_text: 0.0318 loss_kernel: 0.0215 2022/11/02 03:33:38 - mmengine - INFO - Epoch(train) [346][30/63] lr: 1.0000e-05 eta: 10:12:27 time: 0.8080 data_time: 0.0228 memory: 27786 loss: 0.0431 loss_text: 0.0252 loss_kernel: 0.0179 2022/11/02 03:33:42 - mmengine - INFO - Epoch(train) [346][35/63] lr: 1.0000e-05 eta: 10:12:27 time: 0.7945 data_time: 0.0226 memory: 27786 loss: 0.0497 loss_text: 0.0299 loss_kernel: 0.0197 2022/11/02 03:33:46 - mmengine - INFO - Epoch(train) [346][40/63] lr: 1.0000e-05 eta: 10:11:52 time: 0.7889 data_time: 0.0238 memory: 27786 loss: 0.0477 loss_text: 0.0288 loss_kernel: 0.0189 2022/11/02 03:33:50 - mmengine - INFO - Epoch(train) [346][45/63] lr: 1.0000e-05 eta: 10:11:52 time: 0.8079 data_time: 0.0323 memory: 27786 loss: 0.0529 loss_text: 0.0325 loss_kernel: 0.0204 2022/11/02 03:33:54 - mmengine - INFO - Epoch(train) [346][50/63] lr: 1.0000e-05 eta: 10:11:18 time: 0.7939 data_time: 0.0311 memory: 27786 loss: 0.0635 loss_text: 0.0401 loss_kernel: 0.0233 2022/11/02 03:33:58 - mmengine - INFO - Epoch(train) [346][55/63] lr: 1.0000e-05 eta: 10:11:18 time: 0.7770 data_time: 0.0210 memory: 27786 loss: 0.0526 loss_text: 0.0323 loss_kernel: 0.0203 2022/11/02 03:34:02 - mmengine - INFO - Epoch(train) [346][60/63] lr: 1.0000e-05 eta: 10:10:43 time: 0.7828 data_time: 0.0210 memory: 27786 loss: 0.0433 loss_text: 0.0251 loss_kernel: 0.0183 2022/11/02 03:34:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:35:45 - mmengine - INFO - Epoch(train) [347][5/63] lr: 1.0000e-05 eta: 10:10:43 time: 10.4122 data_time: 9.6660 memory: 27786 loss: 0.0532 loss_text: 0.0322 loss_kernel: 0.0210 2022/11/02 03:35:49 - mmengine - INFO - Epoch(train) [347][10/63] lr: 1.0000e-05 eta: 10:11:11 time: 10.4623 data_time: 9.6767 memory: 27786 loss: 0.0531 loss_text: 0.0324 loss_kernel: 0.0207 2022/11/02 03:35:53 - mmengine - INFO - Epoch(train) [347][15/63] lr: 1.0000e-05 eta: 10:11:11 time: 0.7977 data_time: 0.0276 memory: 27786 loss: 0.0441 loss_text: 0.0256 loss_kernel: 0.0185 2022/11/02 03:35:57 - mmengine - INFO - Epoch(train) [347][20/63] lr: 1.0000e-05 eta: 10:10:37 time: 0.7922 data_time: 0.0297 memory: 27786 loss: 0.0469 loss_text: 0.0269 loss_kernel: 0.0200 2022/11/02 03:36:01 - mmengine - INFO - Epoch(train) [347][25/63] lr: 1.0000e-05 eta: 10:10:37 time: 0.8015 data_time: 0.0270 memory: 27786 loss: 0.0508 loss_text: 0.0300 loss_kernel: 0.0208 2022/11/02 03:36:05 - mmengine - INFO - Epoch(train) [347][30/63] lr: 1.0000e-05 eta: 10:10:02 time: 0.8041 data_time: 0.0218 memory: 27786 loss: 0.0485 loss_text: 0.0291 loss_kernel: 0.0194 2022/11/02 03:36:09 - mmengine - INFO - Epoch(train) [347][35/63] lr: 1.0000e-05 eta: 10:10:02 time: 0.8099 data_time: 0.0296 memory: 27786 loss: 0.0461 loss_text: 0.0273 loss_kernel: 0.0189 2022/11/02 03:36:13 - mmengine - INFO - Epoch(train) [347][40/63] lr: 1.0000e-05 eta: 10:09:28 time: 0.7930 data_time: 0.0197 memory: 27786 loss: 0.0461 loss_text: 0.0274 loss_kernel: 0.0187 2022/11/02 03:36:17 - mmengine - INFO - Epoch(train) [347][45/63] lr: 1.0000e-05 eta: 10:09:28 time: 0.7877 data_time: 0.0215 memory: 27786 loss: 0.0444 loss_text: 0.0267 loss_kernel: 0.0177 2022/11/02 03:36:21 - mmengine - INFO - Epoch(train) [347][50/63] lr: 1.0000e-05 eta: 10:08:53 time: 0.8009 data_time: 0.0277 memory: 27786 loss: 0.0429 loss_text: 0.0255 loss_kernel: 0.0174 2022/11/02 03:36:25 - mmengine - INFO - Epoch(train) [347][55/63] lr: 1.0000e-05 eta: 10:08:53 time: 0.7965 data_time: 0.0217 memory: 27786 loss: 0.0425 loss_text: 0.0252 loss_kernel: 0.0172 2022/11/02 03:36:28 - mmengine - INFO - Epoch(train) [347][60/63] lr: 1.0000e-05 eta: 10:08:19 time: 0.7823 data_time: 0.0235 memory: 27786 loss: 0.0443 loss_text: 0.0261 loss_kernel: 0.0181 2022/11/02 03:36:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:38:11 - mmengine - INFO - Epoch(train) [348][5/63] lr: 1.0000e-05 eta: 10:08:19 time: 10.3563 data_time: 9.6260 memory: 27786 loss: 0.0598 loss_text: 0.0367 loss_kernel: 0.0231 2022/11/02 03:38:15 - mmengine - INFO - Epoch(train) [348][10/63] lr: 1.0000e-05 eta: 10:08:47 time: 10.4238 data_time: 9.6456 memory: 27786 loss: 0.0463 loss_text: 0.0275 loss_kernel: 0.0188 2022/11/02 03:38:19 - mmengine - INFO - Epoch(train) [348][15/63] lr: 1.0000e-05 eta: 10:08:47 time: 0.7993 data_time: 0.0308 memory: 27786 loss: 0.0539 loss_text: 0.0328 loss_kernel: 0.0211 2022/11/02 03:38:23 - mmengine - INFO - Epoch(train) [348][20/63] lr: 1.0000e-05 eta: 10:08:12 time: 0.8013 data_time: 0.0261 memory: 27786 loss: 0.0605 loss_text: 0.0377 loss_kernel: 0.0228 2022/11/02 03:38:27 - mmengine - INFO - Epoch(train) [348][25/63] lr: 1.0000e-05 eta: 10:08:12 time: 0.8123 data_time: 0.0363 memory: 27786 loss: 0.0476 loss_text: 0.0286 loss_kernel: 0.0189 2022/11/02 03:38:31 - mmengine - INFO - Epoch(train) [348][30/63] lr: 1.0000e-05 eta: 10:07:38 time: 0.8069 data_time: 0.0422 memory: 27786 loss: 0.0533 loss_text: 0.0324 loss_kernel: 0.0209 2022/11/02 03:38:35 - mmengine - INFO - Epoch(train) [348][35/63] lr: 1.0000e-05 eta: 10:07:38 time: 0.8103 data_time: 0.0457 memory: 27786 loss: 0.0522 loss_text: 0.0320 loss_kernel: 0.0202 2022/11/02 03:38:39 - mmengine - INFO - Epoch(train) [348][40/63] lr: 1.0000e-05 eta: 10:07:03 time: 0.8017 data_time: 0.0246 memory: 27786 loss: 0.0476 loss_text: 0.0287 loss_kernel: 0.0189 2022/11/02 03:38:43 - mmengine - INFO - Epoch(train) [348][45/63] lr: 1.0000e-05 eta: 10:07:03 time: 0.7851 data_time: 0.0223 memory: 27786 loss: 0.0513 loss_text: 0.0315 loss_kernel: 0.0198 2022/11/02 03:38:47 - mmengine - INFO - Epoch(train) [348][50/63] lr: 1.0000e-05 eta: 10:06:29 time: 0.7968 data_time: 0.0346 memory: 27786 loss: 0.0428 loss_text: 0.0258 loss_kernel: 0.0170 2022/11/02 03:38:51 - mmengine - INFO - Epoch(train) [348][55/63] lr: 1.0000e-05 eta: 10:06:29 time: 0.7935 data_time: 0.0244 memory: 27786 loss: 0.0404 loss_text: 0.0231 loss_kernel: 0.0173 2022/11/02 03:38:55 - mmengine - INFO - Epoch(train) [348][60/63] lr: 1.0000e-05 eta: 10:05:54 time: 0.7731 data_time: 0.0160 memory: 27786 loss: 0.0420 loss_text: 0.0238 loss_kernel: 0.0182 2022/11/02 03:38:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:40:36 - mmengine - INFO - Epoch(train) [349][5/63] lr: 1.0000e-05 eta: 10:05:54 time: 10.3010 data_time: 9.5623 memory: 27786 loss: 0.0463 loss_text: 0.0279 loss_kernel: 0.0184 2022/11/02 03:40:40 - mmengine - INFO - Epoch(train) [349][10/63] lr: 1.0000e-05 eta: 10:06:21 time: 10.3680 data_time: 9.5831 memory: 27786 loss: 0.0476 loss_text: 0.0283 loss_kernel: 0.0193 2022/11/02 03:40:44 - mmengine - INFO - Epoch(train) [349][15/63] lr: 1.0000e-05 eta: 10:06:21 time: 0.8086 data_time: 0.0322 memory: 27786 loss: 0.0420 loss_text: 0.0240 loss_kernel: 0.0180 2022/11/02 03:40:48 - mmengine - INFO - Epoch(train) [349][20/63] lr: 1.0000e-05 eta: 10:05:47 time: 0.7975 data_time: 0.0265 memory: 27786 loss: 0.0453 loss_text: 0.0274 loss_kernel: 0.0179 2022/11/02 03:40:52 - mmengine - INFO - Epoch(train) [349][25/63] lr: 1.0000e-05 eta: 10:05:47 time: 0.7932 data_time: 0.0220 memory: 27786 loss: 0.0555 loss_text: 0.0335 loss_kernel: 0.0220 2022/11/02 03:40:56 - mmengine - INFO - Epoch(train) [349][30/63] lr: 1.0000e-05 eta: 10:05:13 time: 0.8025 data_time: 0.0275 memory: 27786 loss: 0.0500 loss_text: 0.0296 loss_kernel: 0.0204 2022/11/02 03:41:00 - mmengine - INFO - Epoch(train) [349][35/63] lr: 1.0000e-05 eta: 10:05:13 time: 0.8064 data_time: 0.0311 memory: 27786 loss: 0.0405 loss_text: 0.0243 loss_kernel: 0.0162 2022/11/02 03:41:04 - mmengine - INFO - Epoch(train) [349][40/63] lr: 1.0000e-05 eta: 10:04:38 time: 0.7930 data_time: 0.0199 memory: 27786 loss: 0.0476 loss_text: 0.0285 loss_kernel: 0.0191 2022/11/02 03:41:08 - mmengine - INFO - Epoch(train) [349][45/63] lr: 1.0000e-05 eta: 10:04:38 time: 0.8044 data_time: 0.0301 memory: 27786 loss: 0.0484 loss_text: 0.0289 loss_kernel: 0.0195 2022/11/02 03:41:12 - mmengine - INFO - Epoch(train) [349][50/63] lr: 1.0000e-05 eta: 10:04:04 time: 0.7950 data_time: 0.0251 memory: 27786 loss: 0.0603 loss_text: 0.0379 loss_kernel: 0.0224 2022/11/02 03:41:16 - mmengine - INFO - Epoch(train) [349][55/63] lr: 1.0000e-05 eta: 10:04:04 time: 0.7785 data_time: 0.0187 memory: 27786 loss: 0.0612 loss_text: 0.0384 loss_kernel: 0.0228 2022/11/02 03:41:20 - mmengine - INFO - Epoch(train) [349][60/63] lr: 1.0000e-05 eta: 10:03:30 time: 0.7803 data_time: 0.0224 memory: 27786 loss: 0.0406 loss_text: 0.0239 loss_kernel: 0.0167 2022/11/02 03:41:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:43:02 - mmengine - INFO - Epoch(train) [350][5/63] lr: 1.0000e-05 eta: 10:03:30 time: 10.3300 data_time: 9.6007 memory: 27786 loss: 0.0388 loss_text: 0.0227 loss_kernel: 0.0162 2022/11/02 03:43:06 - mmengine - INFO - Epoch(train) [350][10/63] lr: 1.0000e-05 eta: 10:03:56 time: 10.3801 data_time: 9.6045 memory: 27786 loss: 0.0462 loss_text: 0.0277 loss_kernel: 0.0185 2022/11/02 03:43:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:43:10 - mmengine - INFO - Epoch(train) [350][15/63] lr: 1.0000e-05 eta: 10:03:56 time: 0.8027 data_time: 0.0257 memory: 27786 loss: 0.0477 loss_text: 0.0286 loss_kernel: 0.0191 2022/11/02 03:43:14 - mmengine - INFO - Epoch(train) [350][20/63] lr: 1.0000e-05 eta: 10:03:22 time: 0.8119 data_time: 0.0374 memory: 27786 loss: 0.0418 loss_text: 0.0246 loss_kernel: 0.0171 2022/11/02 03:43:18 - mmengine - INFO - Epoch(train) [350][25/63] lr: 1.0000e-05 eta: 10:03:22 time: 0.8062 data_time: 0.0296 memory: 27786 loss: 0.0409 loss_text: 0.0239 loss_kernel: 0.0170 2022/11/02 03:43:22 - mmengine - INFO - Epoch(train) [350][30/63] lr: 1.0000e-05 eta: 10:02:48 time: 0.7998 data_time: 0.0219 memory: 27786 loss: 0.0434 loss_text: 0.0255 loss_kernel: 0.0179 2022/11/02 03:43:26 - mmengine - INFO - Epoch(train) [350][35/63] lr: 1.0000e-05 eta: 10:02:48 time: 0.8211 data_time: 0.0416 memory: 27786 loss: 0.0420 loss_text: 0.0251 loss_kernel: 0.0169 2022/11/02 03:43:30 - mmengine - INFO - Epoch(train) [350][40/63] lr: 1.0000e-05 eta: 10:02:14 time: 0.8044 data_time: 0.0293 memory: 27786 loss: 0.0544 loss_text: 0.0326 loss_kernel: 0.0217 2022/11/02 03:43:34 - mmengine - INFO - Epoch(train) [350][45/63] lr: 1.0000e-05 eta: 10:02:14 time: 0.7971 data_time: 0.0212 memory: 27786 loss: 0.0553 loss_text: 0.0330 loss_kernel: 0.0223 2022/11/02 03:43:38 - mmengine - INFO - Epoch(train) [350][50/63] lr: 1.0000e-05 eta: 10:01:39 time: 0.7903 data_time: 0.0263 memory: 27786 loss: 0.0417 loss_text: 0.0241 loss_kernel: 0.0176 2022/11/02 03:43:42 - mmengine - INFO - Epoch(train) [350][55/63] lr: 1.0000e-05 eta: 10:01:39 time: 0.7705 data_time: 0.0208 memory: 27786 loss: 0.0413 loss_text: 0.0238 loss_kernel: 0.0175 2022/11/02 03:43:46 - mmengine - INFO - Epoch(train) [350][60/63] lr: 1.0000e-05 eta: 10:01:05 time: 0.7832 data_time: 0.0238 memory: 27786 loss: 0.0476 loss_text: 0.0283 loss_kernel: 0.0193 2022/11/02 03:43:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:45:29 - mmengine - INFO - Epoch(train) [351][5/63] lr: 1.0000e-05 eta: 10:01:05 time: 10.4865 data_time: 9.7527 memory: 27786 loss: 0.0533 loss_text: 0.0328 loss_kernel: 0.0205 2022/11/02 03:45:33 - mmengine - INFO - Epoch(train) [351][10/63] lr: 1.0000e-05 eta: 10:01:32 time: 10.5350 data_time: 9.7597 memory: 27786 loss: 0.0520 loss_text: 0.0315 loss_kernel: 0.0205 2022/11/02 03:45:37 - mmengine - INFO - Epoch(train) [351][15/63] lr: 1.0000e-05 eta: 10:01:32 time: 0.7925 data_time: 0.0206 memory: 27786 loss: 0.0433 loss_text: 0.0239 loss_kernel: 0.0194 2022/11/02 03:45:41 - mmengine - INFO - Epoch(train) [351][20/63] lr: 1.0000e-05 eta: 10:00:58 time: 0.7949 data_time: 0.0173 memory: 27786 loss: 0.0499 loss_text: 0.0287 loss_kernel: 0.0212 2022/11/02 03:45:45 - mmengine - INFO - Epoch(train) [351][25/63] lr: 1.0000e-05 eta: 10:00:58 time: 0.7972 data_time: 0.0273 memory: 27786 loss: 0.0519 loss_text: 0.0313 loss_kernel: 0.0206 2022/11/02 03:45:49 - mmengine - INFO - Epoch(train) [351][30/63] lr: 1.0000e-05 eta: 10:00:24 time: 0.7814 data_time: 0.0277 memory: 27786 loss: 0.0520 loss_text: 0.0318 loss_kernel: 0.0202 2022/11/02 03:45:53 - mmengine - INFO - Epoch(train) [351][35/63] lr: 1.0000e-05 eta: 10:00:24 time: 0.7777 data_time: 0.0214 memory: 27786 loss: 0.0471 loss_text: 0.0282 loss_kernel: 0.0189 2022/11/02 03:45:57 - mmengine - INFO - Epoch(train) [351][40/63] lr: 1.0000e-05 eta: 9:59:50 time: 0.7918 data_time: 0.0218 memory: 27786 loss: 0.0448 loss_text: 0.0263 loss_kernel: 0.0185 2022/11/02 03:46:01 - mmengine - INFO - Epoch(train) [351][45/63] lr: 1.0000e-05 eta: 9:59:50 time: 0.7995 data_time: 0.0306 memory: 27786 loss: 0.0503 loss_text: 0.0306 loss_kernel: 0.0197 2022/11/02 03:46:04 - mmengine - INFO - Epoch(train) [351][50/63] lr: 1.0000e-05 eta: 9:59:15 time: 0.7760 data_time: 0.0257 memory: 27786 loss: 0.0502 loss_text: 0.0304 loss_kernel: 0.0198 2022/11/02 03:46:08 - mmengine - INFO - Epoch(train) [351][55/63] lr: 1.0000e-05 eta: 9:59:15 time: 0.7660 data_time: 0.0178 memory: 27786 loss: 0.0527 loss_text: 0.0319 loss_kernel: 0.0207 2022/11/02 03:46:12 - mmengine - INFO - Epoch(train) [351][60/63] lr: 1.0000e-05 eta: 9:58:41 time: 0.7665 data_time: 0.0174 memory: 27786 loss: 0.0503 loss_text: 0.0306 loss_kernel: 0.0197 2022/11/02 03:46:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:47:55 - mmengine - INFO - Epoch(train) [352][5/63] lr: 1.0000e-05 eta: 9:58:41 time: 10.4054 data_time: 9.6640 memory: 27786 loss: 0.0428 loss_text: 0.0243 loss_kernel: 0.0185 2022/11/02 03:47:59 - mmengine - INFO - Epoch(train) [352][10/63] lr: 1.0000e-05 eta: 9:59:07 time: 10.4646 data_time: 9.6813 memory: 27786 loss: 0.0422 loss_text: 0.0245 loss_kernel: 0.0177 2022/11/02 03:48:03 - mmengine - INFO - Epoch(train) [352][15/63] lr: 1.0000e-05 eta: 9:59:07 time: 0.8029 data_time: 0.0339 memory: 27786 loss: 0.0411 loss_text: 0.0243 loss_kernel: 0.0168 2022/11/02 03:48:07 - mmengine - INFO - Epoch(train) [352][20/63] lr: 1.0000e-05 eta: 9:58:33 time: 0.7927 data_time: 0.0222 memory: 27786 loss: 0.0486 loss_text: 0.0298 loss_kernel: 0.0188 2022/11/02 03:48:11 - mmengine - INFO - Epoch(train) [352][25/63] lr: 1.0000e-05 eta: 9:58:33 time: 0.8118 data_time: 0.0354 memory: 27786 loss: 0.0553 loss_text: 0.0346 loss_kernel: 0.0207 2022/11/02 03:48:15 - mmengine - INFO - Epoch(train) [352][30/63] lr: 1.0000e-05 eta: 9:57:59 time: 0.8020 data_time: 0.0298 memory: 27786 loss: 0.0522 loss_text: 0.0323 loss_kernel: 0.0198 2022/11/02 03:48:19 - mmengine - INFO - Epoch(train) [352][35/63] lr: 1.0000e-05 eta: 9:57:59 time: 0.7903 data_time: 0.0205 memory: 27786 loss: 0.0459 loss_text: 0.0276 loss_kernel: 0.0182 2022/11/02 03:48:23 - mmengine - INFO - Epoch(train) [352][40/63] lr: 1.0000e-05 eta: 9:57:25 time: 0.7914 data_time: 0.0219 memory: 27786 loss: 0.0427 loss_text: 0.0248 loss_kernel: 0.0179 2022/11/02 03:48:27 - mmengine - INFO - Epoch(train) [352][45/63] lr: 1.0000e-05 eta: 9:57:25 time: 0.7860 data_time: 0.0201 memory: 27786 loss: 0.0432 loss_text: 0.0256 loss_kernel: 0.0176 2022/11/02 03:48:31 - mmengine - INFO - Epoch(train) [352][50/63] lr: 1.0000e-05 eta: 9:56:51 time: 0.8001 data_time: 0.0292 memory: 27786 loss: 0.0422 loss_text: 0.0250 loss_kernel: 0.0172 2022/11/02 03:48:35 - mmengine - INFO - Epoch(train) [352][55/63] lr: 1.0000e-05 eta: 9:56:51 time: 0.7930 data_time: 0.0238 memory: 27786 loss: 0.0434 loss_text: 0.0252 loss_kernel: 0.0182 2022/11/02 03:48:38 - mmengine - INFO - Epoch(train) [352][60/63] lr: 1.0000e-05 eta: 9:56:17 time: 0.7718 data_time: 0.0161 memory: 27786 loss: 0.0481 loss_text: 0.0278 loss_kernel: 0.0203 2022/11/02 03:48:40 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:50:21 - mmengine - INFO - Epoch(train) [353][5/63] lr: 1.0000e-05 eta: 9:56:17 time: 10.4004 data_time: 9.6649 memory: 27786 loss: 0.0394 loss_text: 0.0227 loss_kernel: 0.0168 2022/11/02 03:50:25 - mmengine - INFO - Epoch(train) [353][10/63] lr: 1.0000e-05 eta: 9:56:43 time: 10.4518 data_time: 9.6724 memory: 27786 loss: 0.0411 loss_text: 0.0246 loss_kernel: 0.0166 2022/11/02 03:50:29 - mmengine - INFO - Epoch(train) [353][15/63] lr: 1.0000e-05 eta: 9:56:43 time: 0.8008 data_time: 0.0254 memory: 27786 loss: 0.0409 loss_text: 0.0245 loss_kernel: 0.0164 2022/11/02 03:50:33 - mmengine - INFO - Epoch(train) [353][20/63] lr: 1.0000e-05 eta: 9:56:09 time: 0.7981 data_time: 0.0258 memory: 27786 loss: 0.0504 loss_text: 0.0305 loss_kernel: 0.0199 2022/11/02 03:50:37 - mmengine - INFO - Epoch(train) [353][25/63] lr: 1.0000e-05 eta: 9:56:09 time: 0.7961 data_time: 0.0259 memory: 27786 loss: 0.0489 loss_text: 0.0289 loss_kernel: 0.0200 2022/11/02 03:50:41 - mmengine - INFO - Epoch(train) [353][30/63] lr: 1.0000e-05 eta: 9:55:35 time: 0.8026 data_time: 0.0201 memory: 27786 loss: 0.0396 loss_text: 0.0229 loss_kernel: 0.0167 2022/11/02 03:50:45 - mmengine - INFO - Epoch(train) [353][35/63] lr: 1.0000e-05 eta: 9:55:35 time: 0.8148 data_time: 0.0301 memory: 27786 loss: 0.0466 loss_text: 0.0272 loss_kernel: 0.0194 2022/11/02 03:50:49 - mmengine - INFO - Epoch(train) [353][40/63] lr: 1.0000e-05 eta: 9:55:00 time: 0.7823 data_time: 0.0236 memory: 27786 loss: 0.0473 loss_text: 0.0277 loss_kernel: 0.0195 2022/11/02 03:50:53 - mmengine - INFO - Epoch(train) [353][45/63] lr: 1.0000e-05 eta: 9:55:00 time: 0.7774 data_time: 0.0215 memory: 27786 loss: 0.0594 loss_text: 0.0375 loss_kernel: 0.0219 2022/11/02 03:50:57 - mmengine - INFO - Epoch(train) [353][50/63] lr: 1.0000e-05 eta: 9:54:26 time: 0.7941 data_time: 0.0284 memory: 27786 loss: 0.0848 loss_text: 0.0553 loss_kernel: 0.0295 2022/11/02 03:51:01 - mmengine - INFO - Epoch(train) [353][55/63] lr: 1.0000e-05 eta: 9:54:26 time: 0.7800 data_time: 0.0190 memory: 27786 loss: 0.0736 loss_text: 0.0468 loss_kernel: 0.0268 2022/11/02 03:51:05 - mmengine - INFO - Epoch(train) [353][60/63] lr: 1.0000e-05 eta: 9:53:52 time: 0.7867 data_time: 0.0213 memory: 27786 loss: 0.0540 loss_text: 0.0326 loss_kernel: 0.0214 2022/11/02 03:51:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:52:46 - mmengine - INFO - Epoch(train) [354][5/63] lr: 1.0000e-05 eta: 9:53:52 time: 10.2325 data_time: 9.4992 memory: 27786 loss: 0.0558 loss_text: 0.0340 loss_kernel: 0.0218 2022/11/02 03:52:49 - mmengine - INFO - Epoch(train) [354][10/63] lr: 1.0000e-05 eta: 9:54:17 time: 10.2796 data_time: 9.4997 memory: 27786 loss: 0.0432 loss_text: 0.0249 loss_kernel: 0.0183 2022/11/02 03:52:53 - mmengine - INFO - Epoch(train) [354][15/63] lr: 1.0000e-05 eta: 9:54:17 time: 0.7892 data_time: 0.0189 memory: 27786 loss: 0.0485 loss_text: 0.0290 loss_kernel: 0.0195 2022/11/02 03:52:57 - mmengine - INFO - Epoch(train) [354][20/63] lr: 1.0000e-05 eta: 9:53:43 time: 0.7916 data_time: 0.0312 memory: 27786 loss: 0.0501 loss_text: 0.0302 loss_kernel: 0.0199 2022/11/02 03:53:01 - mmengine - INFO - Epoch(train) [354][25/63] lr: 1.0000e-05 eta: 9:53:43 time: 0.8012 data_time: 0.0273 memory: 27786 loss: 0.0461 loss_text: 0.0271 loss_kernel: 0.0190 2022/11/02 03:53:05 - mmengine - INFO - Epoch(train) [354][30/63] lr: 1.0000e-05 eta: 9:53:09 time: 0.8065 data_time: 0.0221 memory: 27786 loss: 0.0445 loss_text: 0.0263 loss_kernel: 0.0182 2022/11/02 03:53:09 - mmengine - INFO - Epoch(train) [354][35/63] lr: 1.0000e-05 eta: 9:53:09 time: 0.7898 data_time: 0.0237 memory: 27786 loss: 0.0429 loss_text: 0.0256 loss_kernel: 0.0173 2022/11/02 03:53:13 - mmengine - INFO - Epoch(train) [354][40/63] lr: 1.0000e-05 eta: 9:52:35 time: 0.7809 data_time: 0.0229 memory: 27786 loss: 0.0418 loss_text: 0.0251 loss_kernel: 0.0167 2022/11/02 03:53:17 - mmengine - INFO - Epoch(train) [354][45/63] lr: 1.0000e-05 eta: 9:52:35 time: 0.8014 data_time: 0.0329 memory: 27786 loss: 0.0407 loss_text: 0.0243 loss_kernel: 0.0164 2022/11/02 03:53:21 - mmengine - INFO - Epoch(train) [354][50/63] lr: 1.0000e-05 eta: 9:52:01 time: 0.7938 data_time: 0.0319 memory: 27786 loss: 0.0541 loss_text: 0.0329 loss_kernel: 0.0212 2022/11/02 03:53:25 - mmengine - INFO - Epoch(train) [354][55/63] lr: 1.0000e-05 eta: 9:52:01 time: 0.7774 data_time: 0.0195 memory: 27786 loss: 0.0587 loss_text: 0.0360 loss_kernel: 0.0227 2022/11/02 03:53:29 - mmengine - INFO - Epoch(train) [354][60/63] lr: 1.0000e-05 eta: 9:51:27 time: 0.7837 data_time: 0.0197 memory: 27786 loss: 0.0448 loss_text: 0.0267 loss_kernel: 0.0181 2022/11/02 03:53:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:55:11 - mmengine - INFO - Epoch(train) [355][5/63] lr: 1.0000e-05 eta: 9:51:27 time: 10.2885 data_time: 9.5572 memory: 27786 loss: 0.0445 loss_text: 0.0268 loss_kernel: 0.0177 2022/11/02 03:55:15 - mmengine - INFO - Epoch(train) [355][10/63] lr: 1.0000e-05 eta: 9:51:51 time: 10.3560 data_time: 9.5709 memory: 27786 loss: 0.0466 loss_text: 0.0279 loss_kernel: 0.0187 2022/11/02 03:55:19 - mmengine - INFO - Epoch(train) [355][15/63] lr: 1.0000e-05 eta: 9:51:51 time: 0.8023 data_time: 0.0290 memory: 27786 loss: 0.0515 loss_text: 0.0308 loss_kernel: 0.0207 2022/11/02 03:55:23 - mmengine - INFO - Epoch(train) [355][20/63] lr: 1.0000e-05 eta: 9:51:17 time: 0.7976 data_time: 0.0198 memory: 27786 loss: 0.0588 loss_text: 0.0359 loss_kernel: 0.0228 2022/11/02 03:55:27 - mmengine - INFO - Epoch(train) [355][25/63] lr: 1.0000e-05 eta: 9:51:17 time: 0.8015 data_time: 0.0298 memory: 27786 loss: 0.0486 loss_text: 0.0289 loss_kernel: 0.0197 2022/11/02 03:55:30 - mmengine - INFO - Epoch(train) [355][30/63] lr: 1.0000e-05 eta: 9:50:43 time: 0.7881 data_time: 0.0301 memory: 27786 loss: 0.0493 loss_text: 0.0299 loss_kernel: 0.0195 2022/11/02 03:55:34 - mmengine - INFO - Epoch(train) [355][35/63] lr: 1.0000e-05 eta: 9:50:43 time: 0.7860 data_time: 0.0232 memory: 27786 loss: 0.0501 loss_text: 0.0310 loss_kernel: 0.0191 2022/11/02 03:55:38 - mmengine - INFO - Epoch(train) [355][40/63] lr: 1.0000e-05 eta: 9:50:09 time: 0.7922 data_time: 0.0264 memory: 27786 loss: 0.0436 loss_text: 0.0257 loss_kernel: 0.0178 2022/11/02 03:55:42 - mmengine - INFO - Epoch(train) [355][45/63] lr: 1.0000e-05 eta: 9:50:09 time: 0.8003 data_time: 0.0331 memory: 27786 loss: 0.0490 loss_text: 0.0292 loss_kernel: 0.0199 2022/11/02 03:55:46 - mmengine - INFO - Epoch(train) [355][50/63] lr: 1.0000e-05 eta: 9:49:36 time: 0.8030 data_time: 0.0299 memory: 27786 loss: 0.0470 loss_text: 0.0282 loss_kernel: 0.0188 2022/11/02 03:55:50 - mmengine - INFO - Epoch(train) [355][55/63] lr: 1.0000e-05 eta: 9:49:36 time: 0.7869 data_time: 0.0201 memory: 27786 loss: 0.0462 loss_text: 0.0283 loss_kernel: 0.0179 2022/11/02 03:55:54 - mmengine - INFO - Epoch(train) [355][60/63] lr: 1.0000e-05 eta: 9:49:02 time: 0.7707 data_time: 0.0172 memory: 27786 loss: 0.0454 loss_text: 0.0278 loss_kernel: 0.0176 2022/11/02 03:55:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 03:57:36 - mmengine - INFO - Epoch(train) [356][5/63] lr: 1.0000e-05 eta: 9:49:02 time: 10.3402 data_time: 9.6027 memory: 27786 loss: 0.0491 loss_text: 0.0290 loss_kernel: 0.0202 2022/11/02 03:57:40 - mmengine - INFO - Epoch(train) [356][10/63] lr: 1.0000e-05 eta: 9:49:26 time: 10.4015 data_time: 9.6255 memory: 27786 loss: 0.0594 loss_text: 0.0362 loss_kernel: 0.0231 2022/11/02 03:57:44 - mmengine - INFO - Epoch(train) [356][15/63] lr: 1.0000e-05 eta: 9:49:26 time: 0.7796 data_time: 0.0333 memory: 27786 loss: 0.0508 loss_text: 0.0310 loss_kernel: 0.0198 2022/11/02 03:57:48 - mmengine - INFO - Epoch(train) [356][20/63] lr: 1.0000e-05 eta: 9:48:52 time: 0.7749 data_time: 0.0187 memory: 27786 loss: 0.0440 loss_text: 0.0263 loss_kernel: 0.0177 2022/11/02 03:57:52 - mmengine - INFO - Epoch(train) [356][25/63] lr: 1.0000e-05 eta: 9:48:52 time: 0.7830 data_time: 0.0300 memory: 27786 loss: 0.0487 loss_text: 0.0296 loss_kernel: 0.0191 2022/11/02 03:57:56 - mmengine - INFO - Epoch(train) [356][30/63] lr: 1.0000e-05 eta: 9:48:18 time: 0.7637 data_time: 0.0216 memory: 27786 loss: 0.0492 loss_text: 0.0303 loss_kernel: 0.0189 2022/11/02 03:58:00 - mmengine - INFO - Epoch(train) [356][35/63] lr: 1.0000e-05 eta: 9:48:18 time: 0.7749 data_time: 0.0196 memory: 27786 loss: 0.0529 loss_text: 0.0327 loss_kernel: 0.0202 2022/11/02 03:58:03 - mmengine - INFO - Epoch(train) [356][40/63] lr: 1.0000e-05 eta: 9:47:44 time: 0.7879 data_time: 0.0254 memory: 27786 loss: 0.0533 loss_text: 0.0327 loss_kernel: 0.0207 2022/11/02 03:58:07 - mmengine - INFO - Epoch(train) [356][45/63] lr: 1.0000e-05 eta: 9:47:44 time: 0.7990 data_time: 0.0370 memory: 27786 loss: 0.0472 loss_text: 0.0282 loss_kernel: 0.0191 2022/11/02 03:58:11 - mmengine - INFO - Epoch(train) [356][50/63] lr: 1.0000e-05 eta: 9:47:10 time: 0.8045 data_time: 0.0407 memory: 27786 loss: 0.0408 loss_text: 0.0236 loss_kernel: 0.0172 2022/11/02 03:58:15 - mmengine - INFO - Epoch(train) [356][55/63] lr: 1.0000e-05 eta: 9:47:10 time: 0.7755 data_time: 0.0219 memory: 27786 loss: 0.0395 loss_text: 0.0231 loss_kernel: 0.0163 2022/11/02 03:58:19 - mmengine - INFO - Epoch(train) [356][60/63] lr: 1.0000e-05 eta: 9:46:36 time: 0.7631 data_time: 0.0160 memory: 27786 loss: 0.0449 loss_text: 0.0261 loss_kernel: 0.0188 2022/11/02 03:58:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:00:00 - mmengine - INFO - Epoch(train) [357][5/63] lr: 1.0000e-05 eta: 9:46:36 time: 10.2625 data_time: 9.5339 memory: 27786 loss: 0.0484 loss_text: 0.0290 loss_kernel: 0.0194 2022/11/02 04:00:04 - mmengine - INFO - Epoch(train) [357][10/63] lr: 1.0000e-05 eta: 9:47:00 time: 10.3241 data_time: 9.5490 memory: 27786 loss: 0.0463 loss_text: 0.0278 loss_kernel: 0.0185 2022/11/02 04:00:08 - mmengine - INFO - Epoch(train) [357][15/63] lr: 1.0000e-05 eta: 9:47:00 time: 0.8012 data_time: 0.0302 memory: 27786 loss: 0.0523 loss_text: 0.0315 loss_kernel: 0.0207 2022/11/02 04:00:12 - mmengine - INFO - Epoch(train) [357][20/63] lr: 1.0000e-05 eta: 9:46:26 time: 0.8090 data_time: 0.0344 memory: 27786 loss: 0.0556 loss_text: 0.0342 loss_kernel: 0.0213 2022/11/02 04:00:16 - mmengine - INFO - Epoch(train) [357][25/63] lr: 1.0000e-05 eta: 9:46:26 time: 0.8001 data_time: 0.0327 memory: 27786 loss: 0.0477 loss_text: 0.0297 loss_kernel: 0.0180 2022/11/02 04:00:20 - mmengine - INFO - Epoch(train) [357][30/63] lr: 1.0000e-05 eta: 9:45:52 time: 0.7829 data_time: 0.0175 memory: 27786 loss: 0.0477 loss_text: 0.0290 loss_kernel: 0.0187 2022/11/02 04:00:24 - mmengine - INFO - Epoch(train) [357][35/63] lr: 1.0000e-05 eta: 9:45:52 time: 0.7938 data_time: 0.0268 memory: 27786 loss: 0.0519 loss_text: 0.0320 loss_kernel: 0.0199 2022/11/02 04:00:28 - mmengine - INFO - Epoch(train) [357][40/63] lr: 1.0000e-05 eta: 9:45:19 time: 0.7931 data_time: 0.0216 memory: 27786 loss: 0.0441 loss_text: 0.0264 loss_kernel: 0.0177 2022/11/02 04:00:32 - mmengine - INFO - Epoch(train) [357][45/63] lr: 1.0000e-05 eta: 9:45:19 time: 0.7910 data_time: 0.0190 memory: 27786 loss: 0.0451 loss_text: 0.0264 loss_kernel: 0.0187 2022/11/02 04:00:36 - mmengine - INFO - Epoch(train) [357][50/63] lr: 1.0000e-05 eta: 9:44:45 time: 0.8024 data_time: 0.0339 memory: 27786 loss: 0.0533 loss_text: 0.0326 loss_kernel: 0.0207 2022/11/02 04:00:40 - mmengine - INFO - Epoch(train) [357][55/63] lr: 1.0000e-05 eta: 9:44:45 time: 0.7926 data_time: 0.0271 memory: 27786 loss: 0.0472 loss_text: 0.0283 loss_kernel: 0.0189 2022/11/02 04:00:44 - mmengine - INFO - Epoch(train) [357][60/63] lr: 1.0000e-05 eta: 9:44:11 time: 0.7975 data_time: 0.0209 memory: 27786 loss: 0.0425 loss_text: 0.0253 loss_kernel: 0.0172 2022/11/02 04:00:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:02:25 - mmengine - INFO - Epoch(train) [358][5/63] lr: 1.0000e-05 eta: 9:44:11 time: 10.2897 data_time: 9.5398 memory: 27786 loss: 0.0471 loss_text: 0.0284 loss_kernel: 0.0186 2022/11/02 04:02:29 - mmengine - INFO - Epoch(train) [358][10/63] lr: 1.0000e-05 eta: 9:44:35 time: 10.3266 data_time: 9.5494 memory: 27786 loss: 0.0546 loss_text: 0.0336 loss_kernel: 0.0209 2022/11/02 04:02:33 - mmengine - INFO - Epoch(train) [358][15/63] lr: 1.0000e-05 eta: 9:44:35 time: 0.7993 data_time: 0.0393 memory: 27786 loss: 0.0476 loss_text: 0.0286 loss_kernel: 0.0189 2022/11/02 04:02:37 - mmengine - INFO - Epoch(train) [358][20/63] lr: 1.0000e-05 eta: 9:44:01 time: 0.7884 data_time: 0.0335 memory: 27786 loss: 0.0465 loss_text: 0.0273 loss_kernel: 0.0192 2022/11/02 04:02:41 - mmengine - INFO - Epoch(train) [358][25/63] lr: 1.0000e-05 eta: 9:44:01 time: 0.7993 data_time: 0.0300 memory: 27786 loss: 0.0626 loss_text: 0.0387 loss_kernel: 0.0239 2022/11/02 04:02:46 - mmengine - INFO - Epoch(train) [358][30/63] lr: 1.0000e-05 eta: 9:43:27 time: 0.8162 data_time: 0.0352 memory: 27786 loss: 0.0577 loss_text: 0.0358 loss_kernel: 0.0219 2022/11/02 04:02:50 - mmengine - INFO - Epoch(train) [358][35/63] lr: 1.0000e-05 eta: 9:43:27 time: 0.8161 data_time: 0.0311 memory: 27786 loss: 0.0567 loss_text: 0.0352 loss_kernel: 0.0215 2022/11/02 04:02:53 - mmengine - INFO - Epoch(train) [358][40/63] lr: 1.0000e-05 eta: 9:42:54 time: 0.7944 data_time: 0.0224 memory: 27786 loss: 0.0539 loss_text: 0.0336 loss_kernel: 0.0202 2022/11/02 04:02:57 - mmengine - INFO - Epoch(train) [358][45/63] lr: 1.0000e-05 eta: 9:42:54 time: 0.7807 data_time: 0.0198 memory: 27786 loss: 0.0470 loss_text: 0.0278 loss_kernel: 0.0191 2022/11/02 04:03:01 - mmengine - INFO - Epoch(train) [358][50/63] lr: 1.0000e-05 eta: 9:42:20 time: 0.7824 data_time: 0.0217 memory: 27786 loss: 0.0546 loss_text: 0.0332 loss_kernel: 0.0214 2022/11/02 04:03:05 - mmengine - INFO - Epoch(train) [358][55/63] lr: 1.0000e-05 eta: 9:42:20 time: 0.7935 data_time: 0.0254 memory: 27786 loss: 0.0536 loss_text: 0.0330 loss_kernel: 0.0206 2022/11/02 04:03:09 - mmengine - INFO - Epoch(train) [358][60/63] lr: 1.0000e-05 eta: 9:41:46 time: 0.7974 data_time: 0.0237 memory: 27786 loss: 0.0470 loss_text: 0.0277 loss_kernel: 0.0193 2022/11/02 04:03:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:04:51 - mmengine - INFO - Epoch(train) [359][5/63] lr: 1.0000e-05 eta: 9:41:46 time: 10.3479 data_time: 9.6045 memory: 27786 loss: 0.0443 loss_text: 0.0250 loss_kernel: 0.0193 2022/11/02 04:04:55 - mmengine - INFO - Epoch(train) [359][10/63] lr: 1.0000e-05 eta: 9:42:10 time: 10.4054 data_time: 9.6143 memory: 27786 loss: 0.0465 loss_text: 0.0276 loss_kernel: 0.0190 2022/11/02 04:04:59 - mmengine - INFO - Epoch(train) [359][15/63] lr: 1.0000e-05 eta: 9:42:10 time: 0.8113 data_time: 0.0277 memory: 27786 loss: 0.0496 loss_text: 0.0298 loss_kernel: 0.0198 2022/11/02 04:05:03 - mmengine - INFO - Epoch(train) [359][20/63] lr: 1.0000e-05 eta: 9:41:36 time: 0.8062 data_time: 0.0252 memory: 27786 loss: 0.0479 loss_text: 0.0288 loss_kernel: 0.0192 2022/11/02 04:05:07 - mmengine - INFO - Epoch(train) [359][25/63] lr: 1.0000e-05 eta: 9:41:36 time: 0.7853 data_time: 0.0247 memory: 27786 loss: 0.0447 loss_text: 0.0267 loss_kernel: 0.0180 2022/11/02 04:05:11 - mmengine - INFO - Epoch(train) [359][30/63] lr: 1.0000e-05 eta: 9:41:02 time: 0.7709 data_time: 0.0218 memory: 27786 loss: 0.0423 loss_text: 0.0244 loss_kernel: 0.0179 2022/11/02 04:05:15 - mmengine - INFO - Epoch(train) [359][35/63] lr: 1.0000e-05 eta: 9:41:02 time: 0.8002 data_time: 0.0414 memory: 27786 loss: 0.0480 loss_text: 0.0288 loss_kernel: 0.0191 2022/11/02 04:05:19 - mmengine - INFO - Epoch(train) [359][40/63] lr: 1.0000e-05 eta: 9:40:29 time: 0.7954 data_time: 0.0342 memory: 27786 loss: 0.0555 loss_text: 0.0341 loss_kernel: 0.0215 2022/11/02 04:05:23 - mmengine - INFO - Epoch(train) [359][45/63] lr: 1.0000e-05 eta: 9:40:29 time: 0.7898 data_time: 0.0182 memory: 27786 loss: 0.0501 loss_text: 0.0304 loss_kernel: 0.0198 2022/11/02 04:05:27 - mmengine - INFO - Epoch(train) [359][50/63] lr: 1.0000e-05 eta: 9:39:55 time: 0.7982 data_time: 0.0255 memory: 27786 loss: 0.0449 loss_text: 0.0264 loss_kernel: 0.0186 2022/11/02 04:05:31 - mmengine - INFO - Epoch(train) [359][55/63] lr: 1.0000e-05 eta: 9:39:55 time: 0.7771 data_time: 0.0204 memory: 27786 loss: 0.0430 loss_text: 0.0249 loss_kernel: 0.0182 2022/11/02 04:05:35 - mmengine - INFO - Epoch(train) [359][60/63] lr: 1.0000e-05 eta: 9:39:22 time: 0.7694 data_time: 0.0171 memory: 27786 loss: 0.0415 loss_text: 0.0244 loss_kernel: 0.0171 2022/11/02 04:05:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:07:16 - mmengine - INFO - Epoch(train) [360][5/63] lr: 1.0000e-05 eta: 9:39:22 time: 10.3049 data_time: 9.5792 memory: 27786 loss: 0.0399 loss_text: 0.0231 loss_kernel: 0.0169 2022/11/02 04:07:21 - mmengine - INFO - Epoch(train) [360][10/63] lr: 1.0000e-05 eta: 9:39:44 time: 10.3838 data_time: 9.6133 memory: 27786 loss: 0.0471 loss_text: 0.0286 loss_kernel: 0.0185 2022/11/02 04:07:25 - mmengine - INFO - Epoch(train) [360][15/63] lr: 1.0000e-05 eta: 9:39:44 time: 0.8169 data_time: 0.0437 memory: 27786 loss: 0.0483 loss_text: 0.0295 loss_kernel: 0.0188 2022/11/02 04:07:29 - mmengine - INFO - Epoch(train) [360][20/63] lr: 1.0000e-05 eta: 9:39:11 time: 0.7805 data_time: 0.0204 memory: 27786 loss: 0.0475 loss_text: 0.0288 loss_kernel: 0.0187 2022/11/02 04:07:32 - mmengine - INFO - Epoch(train) [360][25/63] lr: 1.0000e-05 eta: 9:39:11 time: 0.7825 data_time: 0.0286 memory: 27786 loss: 0.0471 loss_text: 0.0284 loss_kernel: 0.0187 2022/11/02 04:07:36 - mmengine - INFO - Epoch(train) [360][30/63] lr: 1.0000e-05 eta: 9:38:37 time: 0.7702 data_time: 0.0206 memory: 27786 loss: 0.0446 loss_text: 0.0265 loss_kernel: 0.0180 2022/11/02 04:07:40 - mmengine - INFO - Epoch(train) [360][35/63] lr: 1.0000e-05 eta: 9:38:37 time: 0.7902 data_time: 0.0322 memory: 27786 loss: 0.0485 loss_text: 0.0295 loss_kernel: 0.0190 2022/11/02 04:07:44 - mmengine - INFO - Epoch(train) [360][40/63] lr: 1.0000e-05 eta: 9:38:04 time: 0.7951 data_time: 0.0286 memory: 27786 loss: 0.0444 loss_text: 0.0266 loss_kernel: 0.0178 2022/11/02 04:07:48 - mmengine - INFO - Epoch(train) [360][45/63] lr: 1.0000e-05 eta: 9:38:04 time: 0.7850 data_time: 0.0189 memory: 27786 loss: 0.0425 loss_text: 0.0248 loss_kernel: 0.0177 2022/11/02 04:07:52 - mmengine - INFO - Epoch(train) [360][50/63] lr: 1.0000e-05 eta: 9:37:30 time: 0.8037 data_time: 0.0309 memory: 27786 loss: 0.0455 loss_text: 0.0267 loss_kernel: 0.0188 2022/11/02 04:07:56 - mmengine - INFO - Epoch(train) [360][55/63] lr: 1.0000e-05 eta: 9:37:30 time: 0.7881 data_time: 0.0220 memory: 27786 loss: 0.0431 loss_text: 0.0252 loss_kernel: 0.0180 2022/11/02 04:08:00 - mmengine - INFO - Epoch(train) [360][60/63] lr: 1.0000e-05 eta: 9:36:57 time: 0.7745 data_time: 0.0150 memory: 27786 loss: 0.0412 loss_text: 0.0241 loss_kernel: 0.0171 2022/11/02 04:08:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:08:02 - mmengine - INFO - Saving checkpoint at 360 epochs 2022/11/02 04:08:39 - mmengine - INFO - Epoch(val) [360][5/500] eta: 9:36:57 time: 3.2196 data_time: 3.1726 memory: 27786 2022/11/02 04:08:39 - mmengine - INFO - Epoch(val) [360][10/500] eta: 0:26:21 time: 3.2273 data_time: 3.1728 memory: 2082 2022/11/02 04:08:39 - mmengine - INFO - Epoch(val) [360][15/500] eta: 0:26:21 time: 0.0577 data_time: 0.0023 memory: 2007 2022/11/02 04:08:40 - mmengine - INFO - Epoch(val) [360][20/500] eta: 0:00:25 time: 0.0527 data_time: 0.0021 memory: 1705 2022/11/02 04:08:40 - mmengine - INFO - Epoch(val) [360][25/500] eta: 0:00:25 time: 0.0434 data_time: 0.0019 memory: 1705 2022/11/02 04:08:40 - mmengine - INFO - Epoch(val) [360][30/500] eta: 0:00:18 time: 0.0404 data_time: 0.0017 memory: 1705 2022/11/02 04:08:40 - mmengine - INFO - Epoch(val) [360][35/500] eta: 0:00:18 time: 0.0453 data_time: 0.0018 memory: 1705 2022/11/02 04:08:41 - mmengine - INFO - Epoch(val) [360][40/500] eta: 0:00:23 time: 0.0522 data_time: 0.0021 memory: 1743 2022/11/02 04:08:41 - mmengine - INFO - Epoch(val) [360][45/500] eta: 0:00:23 time: 0.0508 data_time: 0.0021 memory: 2082 2022/11/02 04:08:41 - mmengine - INFO - Epoch(val) [360][50/500] eta: 0:00:20 time: 0.0457 data_time: 0.0019 memory: 1818 2022/11/02 04:08:41 - mmengine - INFO - Epoch(val) [360][55/500] eta: 0:00:20 time: 0.0431 data_time: 0.0019 memory: 1781 2022/11/02 04:08:41 - mmengine - INFO - Epoch(val) [360][60/500] eta: 0:00:19 time: 0.0433 data_time: 0.0019 memory: 1705 2022/11/02 04:08:42 - mmengine - INFO - Epoch(val) [360][65/500] eta: 0:00:19 time: 0.0466 data_time: 0.0019 memory: 1818 2022/11/02 04:08:42 - mmengine - INFO - Epoch(val) [360][70/500] eta: 0:00:19 time: 0.0451 data_time: 0.0019 memory: 2082 2022/11/02 04:08:42 - mmengine - INFO - Epoch(val) [360][75/500] eta: 0:00:19 time: 0.0502 data_time: 0.0020 memory: 1818 2022/11/02 04:08:42 - mmengine - INFO - Epoch(val) [360][80/500] eta: 0:00:21 time: 0.0503 data_time: 0.0021 memory: 1705 2022/11/02 04:08:43 - mmengine - INFO - Epoch(val) [360][85/500] eta: 0:00:21 time: 0.0426 data_time: 0.0019 memory: 1705 2022/11/02 04:08:43 - mmengine - INFO - Epoch(val) [360][90/500] eta: 0:00:18 time: 0.0454 data_time: 0.0020 memory: 2082 2022/11/02 04:08:43 - mmengine - INFO - Epoch(val) [360][95/500] eta: 0:00:18 time: 0.0453 data_time: 0.0022 memory: 1743 2022/11/02 04:08:43 - mmengine - INFO - Epoch(val) [360][100/500] eta: 0:00:16 time: 0.0412 data_time: 0.0021 memory: 2082 2022/11/02 04:08:44 - mmengine - INFO - Epoch(val) [360][105/500] eta: 0:00:16 time: 0.0428 data_time: 0.0021 memory: 1705 2022/11/02 04:08:44 - mmengine - INFO - Epoch(val) [360][110/500] eta: 0:00:17 time: 0.0446 data_time: 0.0021 memory: 2082 2022/11/02 04:08:44 - mmengine - INFO - Epoch(val) [360][115/500] eta: 0:00:17 time: 0.0434 data_time: 0.0021 memory: 1705 2022/11/02 04:08:44 - mmengine - INFO - Epoch(val) [360][120/500] eta: 0:00:18 time: 0.0478 data_time: 0.0020 memory: 1705 2022/11/02 04:08:45 - mmengine - INFO - Epoch(val) [360][125/500] eta: 0:00:18 time: 0.0571 data_time: 0.0021 memory: 2082 2022/11/02 04:08:45 - mmengine - INFO - Epoch(val) [360][130/500] eta: 0:00:18 time: 0.0497 data_time: 0.0021 memory: 1705 2022/11/02 04:08:45 - mmengine - INFO - Epoch(val) [360][135/500] eta: 0:00:18 time: 0.0430 data_time: 0.0020 memory: 1856 2022/11/02 04:08:45 - mmengine - INFO - Epoch(val) [360][140/500] eta: 0:00:16 time: 0.0466 data_time: 0.0020 memory: 1705 2022/11/02 04:08:45 - mmengine - INFO - Epoch(val) [360][145/500] eta: 0:00:16 time: 0.0435 data_time: 0.0018 memory: 2044 2022/11/02 04:08:46 - mmengine - INFO - Epoch(val) [360][150/500] eta: 0:00:14 time: 0.0407 data_time: 0.0017 memory: 1705 2022/11/02 04:08:46 - mmengine - INFO - Epoch(val) [360][155/500] eta: 0:00:14 time: 0.0603 data_time: 0.0154 memory: 1969 2022/11/02 04:08:46 - mmengine - INFO - Epoch(val) [360][160/500] eta: 0:00:21 time: 0.0636 data_time: 0.0154 memory: 2082 2022/11/02 04:08:46 - mmengine - INFO - Epoch(val) [360][165/500] eta: 0:00:21 time: 0.0447 data_time: 0.0019 memory: 1781 2022/11/02 04:08:47 - mmengine - INFO - Epoch(val) [360][170/500] eta: 0:00:16 time: 0.0492 data_time: 0.0020 memory: 1969 2022/11/02 04:08:47 - mmengine - INFO - Epoch(val) [360][175/500] eta: 0:00:16 time: 0.0487 data_time: 0.0020 memory: 2082 2022/11/02 04:08:47 - mmengine - INFO - Epoch(val) [360][180/500] eta: 0:00:13 time: 0.0413 data_time: 0.0019 memory: 2082 2022/11/02 04:08:47 - mmengine - INFO - Epoch(val) [360][185/500] eta: 0:00:13 time: 0.0415 data_time: 0.0019 memory: 1705 2022/11/02 04:08:48 - mmengine - INFO - Epoch(val) [360][190/500] eta: 0:00:13 time: 0.0445 data_time: 0.0018 memory: 1818 2022/11/02 04:08:48 - mmengine - INFO - Epoch(val) [360][195/500] eta: 0:00:13 time: 0.0406 data_time: 0.0017 memory: 1781 2022/11/02 04:08:48 - mmengine - INFO - Epoch(val) [360][200/500] eta: 0:00:11 time: 0.0377 data_time: 0.0016 memory: 1781 2022/11/02 04:08:48 - mmengine - INFO - Epoch(val) [360][205/500] eta: 0:00:11 time: 0.0407 data_time: 0.0018 memory: 1705 2022/11/02 04:08:48 - mmengine - INFO - Epoch(val) [360][210/500] eta: 0:00:13 time: 0.0456 data_time: 0.0019 memory: 2082 2022/11/02 04:08:49 - mmengine - INFO - Epoch(val) [360][215/500] eta: 0:00:13 time: 0.0455 data_time: 0.0018 memory: 1705 2022/11/02 04:08:49 - mmengine - INFO - Epoch(val) [360][220/500] eta: 0:00:14 time: 0.0534 data_time: 0.0145 memory: 1856 2022/11/02 04:08:49 - mmengine - INFO - Epoch(val) [360][225/500] eta: 0:00:14 time: 0.0642 data_time: 0.0230 memory: 2082 2022/11/02 04:08:50 - mmengine - INFO - Epoch(val) [360][230/500] eta: 0:00:18 time: 0.0687 data_time: 0.0106 memory: 1705 2022/11/02 04:08:50 - mmengine - INFO - Epoch(val) [360][235/500] eta: 0:00:18 time: 0.0632 data_time: 0.0026 memory: 2082 2022/11/02 04:08:50 - mmengine - INFO - Epoch(val) [360][240/500] eta: 0:00:13 time: 0.0529 data_time: 0.0025 memory: 2082 2022/11/02 04:08:50 - mmengine - INFO - Epoch(val) [360][245/500] eta: 0:00:13 time: 0.0501 data_time: 0.0021 memory: 2082 2022/11/02 04:08:51 - mmengine - INFO - Epoch(val) [360][250/500] eta: 0:00:11 time: 0.0447 data_time: 0.0019 memory: 1705 2022/11/02 04:08:51 - mmengine - INFO - Epoch(val) [360][255/500] eta: 0:00:11 time: 0.0677 data_time: 0.0021 memory: 1743 2022/11/02 04:08:51 - mmengine - INFO - Epoch(val) [360][260/500] eta: 0:00:20 time: 0.0852 data_time: 0.0215 memory: 1705 2022/11/02 04:08:52 - mmengine - INFO - Epoch(val) [360][265/500] eta: 0:00:20 time: 0.0625 data_time: 0.0214 memory: 2007 2022/11/02 04:08:52 - mmengine - INFO - Epoch(val) [360][270/500] eta: 0:00:10 time: 0.0450 data_time: 0.0020 memory: 1931 2022/11/02 04:08:52 - mmengine - INFO - Epoch(val) [360][275/500] eta: 0:00:10 time: 0.0468 data_time: 0.0019 memory: 2082 2022/11/02 04:08:52 - mmengine - INFO - Epoch(val) [360][280/500] eta: 0:00:09 time: 0.0445 data_time: 0.0019 memory: 2007 2022/11/02 04:08:53 - mmengine - INFO - Epoch(val) [360][285/500] eta: 0:00:09 time: 0.0437 data_time: 0.0019 memory: 1705 2022/11/02 04:08:53 - mmengine - INFO - Epoch(val) [360][290/500] eta: 0:00:10 time: 0.0490 data_time: 0.0020 memory: 2082 2022/11/02 04:08:53 - mmengine - INFO - Epoch(val) [360][295/500] eta: 0:00:10 time: 0.0494 data_time: 0.0021 memory: 1818 2022/11/02 04:08:53 - mmengine - INFO - Epoch(val) [360][300/500] eta: 0:00:09 time: 0.0474 data_time: 0.0020 memory: 1743 2022/11/02 04:08:53 - mmengine - INFO - Epoch(val) [360][305/500] eta: 0:00:09 time: 0.0388 data_time: 0.0018 memory: 1705 2022/11/02 04:08:54 - mmengine - INFO - Epoch(val) [360][310/500] eta: 0:00:07 time: 0.0376 data_time: 0.0017 memory: 1781 2022/11/02 04:08:54 - mmengine - INFO - Epoch(val) [360][315/500] eta: 0:00:07 time: 0.0476 data_time: 0.0019 memory: 2007 2022/11/02 04:08:54 - mmengine - INFO - Epoch(val) [360][320/500] eta: 0:00:09 time: 0.0536 data_time: 0.0021 memory: 2007 2022/11/02 04:08:54 - mmengine - INFO - Epoch(val) [360][325/500] eta: 0:00:09 time: 0.0527 data_time: 0.0021 memory: 2082 2022/11/02 04:08:55 - mmengine - INFO - Epoch(val) [360][330/500] eta: 0:00:09 time: 0.0545 data_time: 0.0089 memory: 1743 2022/11/02 04:08:55 - mmengine - INFO - Epoch(val) [360][335/500] eta: 0:00:09 time: 0.0540 data_time: 0.0086 memory: 1931 2022/11/02 04:08:55 - mmengine - INFO - Epoch(val) [360][340/500] eta: 0:00:07 time: 0.0485 data_time: 0.0016 memory: 2044 2022/11/02 04:08:55 - mmengine - INFO - Epoch(val) [360][345/500] eta: 0:00:07 time: 0.0435 data_time: 0.0018 memory: 1931 2022/11/02 04:08:56 - mmengine - INFO - Epoch(val) [360][350/500] eta: 0:00:07 time: 0.0475 data_time: 0.0020 memory: 1705 2022/11/02 04:08:56 - mmengine - INFO - Epoch(val) [360][355/500] eta: 0:00:07 time: 0.0582 data_time: 0.0020 memory: 2044 2022/11/02 04:08:56 - mmengine - INFO - Epoch(val) [360][360/500] eta: 0:00:06 time: 0.0494 data_time: 0.0019 memory: 1743 2022/11/02 04:08:56 - mmengine - INFO - Epoch(val) [360][365/500] eta: 0:00:06 time: 0.0397 data_time: 0.0018 memory: 1592 2022/11/02 04:08:57 - mmengine - INFO - Epoch(val) [360][370/500] eta: 0:00:05 time: 0.0409 data_time: 0.0018 memory: 1818 2022/11/02 04:08:57 - mmengine - INFO - Epoch(val) [360][375/500] eta: 0:00:05 time: 0.0362 data_time: 0.0018 memory: 1705 2022/11/02 04:08:57 - mmengine - INFO - Epoch(val) [360][380/500] eta: 0:00:04 time: 0.0399 data_time: 0.0018 memory: 2044 2022/11/02 04:08:57 - mmengine - INFO - Epoch(val) [360][385/500] eta: 0:00:04 time: 0.0477 data_time: 0.0020 memory: 2044 2022/11/02 04:08:58 - mmengine - INFO - Epoch(val) [360][390/500] eta: 0:00:05 time: 0.0496 data_time: 0.0020 memory: 2082 2022/11/02 04:08:58 - mmengine - INFO - Epoch(val) [360][395/500] eta: 0:00:05 time: 0.0617 data_time: 0.0018 memory: 1705 2022/11/02 04:08:58 - mmengine - INFO - Epoch(val) [360][400/500] eta: 0:00:06 time: 0.0632 data_time: 0.0019 memory: 2044 2022/11/02 04:08:58 - mmengine - INFO - Epoch(val) [360][405/500] eta: 0:00:06 time: 0.0483 data_time: 0.0019 memory: 2044 2022/11/02 04:08:59 - mmengine - INFO - Epoch(val) [360][410/500] eta: 0:00:03 time: 0.0441 data_time: 0.0019 memory: 1818 2022/11/02 04:08:59 - mmengine - INFO - Epoch(val) [360][415/500] eta: 0:00:03 time: 0.0511 data_time: 0.0019 memory: 1705 2022/11/02 04:08:59 - mmengine - INFO - Epoch(val) [360][420/500] eta: 0:00:04 time: 0.0612 data_time: 0.0024 memory: 2007 2022/11/02 04:09:00 - mmengine - INFO - Epoch(val) [360][425/500] eta: 0:00:04 time: 0.0652 data_time: 0.0024 memory: 1705 2022/11/02 04:09:00 - mmengine - INFO - Epoch(val) [360][430/500] eta: 0:00:04 time: 0.0589 data_time: 0.0021 memory: 2082 2022/11/02 04:09:00 - mmengine - INFO - Epoch(val) [360][435/500] eta: 0:00:04 time: 0.0497 data_time: 0.0020 memory: 1705 2022/11/02 04:09:00 - mmengine - INFO - Epoch(val) [360][440/500] eta: 0:00:02 time: 0.0432 data_time: 0.0019 memory: 1856 2022/11/02 04:09:00 - mmengine - INFO - Epoch(val) [360][445/500] eta: 0:00:02 time: 0.0447 data_time: 0.0020 memory: 2007 2022/11/02 04:09:01 - mmengine - INFO - Epoch(val) [360][450/500] eta: 0:00:02 time: 0.0455 data_time: 0.0020 memory: 1705 2022/11/02 04:09:01 - mmengine - INFO - Epoch(val) [360][455/500] eta: 0:00:02 time: 0.0460 data_time: 0.0020 memory: 2082 2022/11/02 04:09:01 - mmengine - INFO - Epoch(val) [360][460/500] eta: 0:00:01 time: 0.0463 data_time: 0.0021 memory: 1781 2022/11/02 04:09:01 - mmengine - INFO - Epoch(val) [360][465/500] eta: 0:00:01 time: 0.0408 data_time: 0.0020 memory: 1969 2022/11/02 04:09:02 - mmengine - INFO - Epoch(val) [360][470/500] eta: 0:00:01 time: 0.0439 data_time: 0.0021 memory: 1781 2022/11/02 04:09:02 - mmengine - INFO - Epoch(val) [360][475/500] eta: 0:00:01 time: 0.0509 data_time: 0.0019 memory: 2082 2022/11/02 04:09:02 - mmengine - INFO - Epoch(val) [360][480/500] eta: 0:00:01 time: 0.0500 data_time: 0.0017 memory: 2044 2022/11/02 04:09:02 - mmengine - INFO - Epoch(val) [360][485/500] eta: 0:00:01 time: 0.0437 data_time: 0.0019 memory: 1705 2022/11/02 04:09:02 - mmengine - INFO - Epoch(val) [360][490/500] eta: 0:00:00 time: 0.0381 data_time: 0.0019 memory: 1969 2022/11/02 04:09:03 - mmengine - INFO - Epoch(val) [360][495/500] eta: 0:00:00 time: 0.0403 data_time: 0.0018 memory: 2082 2022/11/02 04:09:03 - mmengine - INFO - Epoch(val) [360][500/500] eta: 0:00:00 time: 0.0424 data_time: 0.0018 memory: 1743 2022/11/02 04:09:03 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 04:09:03 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8150, precision: 0.5090, hmean: 0.6267 2022/11/02 04:09:03 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8150, precision: 0.5090, hmean: 0.6267 2022/11/02 04:09:03 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8150, precision: 0.5090, hmean: 0.6267 2022/11/02 04:09:03 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8150, precision: 0.5314, hmean: 0.6433 2022/11/02 04:09:03 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8146, precision: 0.6067, hmean: 0.6954 2022/11/02 04:09:03 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8137, precision: 0.7028, hmean: 0.7542 2022/11/02 04:09:03 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7990, precision: 0.7995, hmean: 0.7993 2022/11/02 04:09:03 - mmengine - INFO - Epoch(val) [360][500/500] icdar/precision: 0.7995 icdar/recall: 0.7990 icdar/hmean: 0.7993 2022/11/02 04:10:43 - mmengine - INFO - Epoch(train) [361][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 10.3646 data_time: 9.6312 memory: 27786 loss: 0.0557 loss_text: 0.0343 loss_kernel: 0.0213 2022/11/02 04:10:47 - mmengine - INFO - Epoch(train) [361][10/63] lr: 1.0000e-05 eta: 9:37:19 time: 10.4194 data_time: 9.6490 memory: 27786 loss: 0.0502 loss_text: 0.0306 loss_kernel: 0.0196 2022/11/02 04:10:51 - mmengine - INFO - Epoch(train) [361][15/63] lr: 1.0000e-05 eta: 9:37:19 time: 0.8016 data_time: 0.0263 memory: 27786 loss: 0.0410 loss_text: 0.0242 loss_kernel: 0.0168 2022/11/02 04:10:55 - mmengine - INFO - Epoch(train) [361][20/63] lr: 1.0000e-05 eta: 9:36:46 time: 0.8011 data_time: 0.0180 memory: 27786 loss: 0.0412 loss_text: 0.0241 loss_kernel: 0.0171 2022/11/02 04:10:59 - mmengine - INFO - Epoch(train) [361][25/63] lr: 1.0000e-05 eta: 9:36:46 time: 0.7931 data_time: 0.0246 memory: 27786 loss: 0.0523 loss_text: 0.0316 loss_kernel: 0.0207 2022/11/02 04:11:03 - mmengine - INFO - Epoch(train) [361][30/63] lr: 1.0000e-05 eta: 9:36:12 time: 0.7854 data_time: 0.0220 memory: 27786 loss: 0.0546 loss_text: 0.0322 loss_kernel: 0.0224 2022/11/02 04:11:07 - mmengine - INFO - Epoch(train) [361][35/63] lr: 1.0000e-05 eta: 9:36:12 time: 0.7998 data_time: 0.0253 memory: 27786 loss: 0.0482 loss_text: 0.0278 loss_kernel: 0.0204 2022/11/02 04:11:11 - mmengine - INFO - Epoch(train) [361][40/63] lr: 1.0000e-05 eta: 9:35:39 time: 0.8006 data_time: 0.0213 memory: 27786 loss: 0.0465 loss_text: 0.0278 loss_kernel: 0.0187 2022/11/02 04:11:15 - mmengine - INFO - Epoch(train) [361][45/63] lr: 1.0000e-05 eta: 9:35:39 time: 0.8025 data_time: 0.0200 memory: 27786 loss: 0.0413 loss_text: 0.0242 loss_kernel: 0.0171 2022/11/02 04:11:19 - mmengine - INFO - Epoch(train) [361][50/63] lr: 1.0000e-05 eta: 9:35:06 time: 0.8132 data_time: 0.0321 memory: 27786 loss: 0.0549 loss_text: 0.0335 loss_kernel: 0.0214 2022/11/02 04:11:23 - mmengine - INFO - Epoch(train) [361][55/63] lr: 1.0000e-05 eta: 9:35:06 time: 0.7850 data_time: 0.0243 memory: 27786 loss: 0.0602 loss_text: 0.0370 loss_kernel: 0.0231 2022/11/02 04:11:27 - mmengine - INFO - Epoch(train) [361][60/63] lr: 1.0000e-05 eta: 9:34:32 time: 0.7581 data_time: 0.0143 memory: 27786 loss: 0.0468 loss_text: 0.0281 loss_kernel: 0.0187 2022/11/02 04:11:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:13:08 - mmengine - INFO - Epoch(train) [362][5/63] lr: 1.0000e-05 eta: 9:34:32 time: 10.2880 data_time: 9.5441 memory: 27786 loss: 0.0425 loss_text: 0.0251 loss_kernel: 0.0174 2022/11/02 04:13:12 - mmengine - INFO - Epoch(train) [362][10/63] lr: 1.0000e-05 eta: 9:34:54 time: 10.3367 data_time: 9.5552 memory: 27786 loss: 0.0403 loss_text: 0.0238 loss_kernel: 0.0165 2022/11/02 04:13:16 - mmengine - INFO - Epoch(train) [362][15/63] lr: 1.0000e-05 eta: 9:34:54 time: 0.7833 data_time: 0.0266 memory: 27786 loss: 0.0416 loss_text: 0.0242 loss_kernel: 0.0174 2022/11/02 04:13:20 - mmengine - INFO - Epoch(train) [362][20/63] lr: 1.0000e-05 eta: 9:34:20 time: 0.7856 data_time: 0.0218 memory: 27786 loss: 0.0435 loss_text: 0.0254 loss_kernel: 0.0181 2022/11/02 04:13:24 - mmengine - INFO - Epoch(train) [362][25/63] lr: 1.0000e-05 eta: 9:34:20 time: 0.7956 data_time: 0.0286 memory: 27786 loss: 0.0414 loss_text: 0.0242 loss_kernel: 0.0171 2022/11/02 04:13:28 - mmengine - INFO - Epoch(train) [362][30/63] lr: 1.0000e-05 eta: 9:33:47 time: 0.8133 data_time: 0.0298 memory: 27786 loss: 0.0483 loss_text: 0.0289 loss_kernel: 0.0194 2022/11/02 04:13:32 - mmengine - INFO - Epoch(train) [362][35/63] lr: 1.0000e-05 eta: 9:33:47 time: 0.8027 data_time: 0.0215 memory: 27786 loss: 0.0507 loss_text: 0.0304 loss_kernel: 0.0203 2022/11/02 04:13:36 - mmengine - INFO - Epoch(train) [362][40/63] lr: 1.0000e-05 eta: 9:33:14 time: 0.7885 data_time: 0.0202 memory: 27786 loss: 0.0499 loss_text: 0.0301 loss_kernel: 0.0198 2022/11/02 04:13:40 - mmengine - INFO - Epoch(train) [362][45/63] lr: 1.0000e-05 eta: 9:33:14 time: 0.8065 data_time: 0.0306 memory: 27786 loss: 0.0503 loss_text: 0.0302 loss_kernel: 0.0201 2022/11/02 04:13:44 - mmengine - INFO - Epoch(train) [362][50/63] lr: 1.0000e-05 eta: 9:32:40 time: 0.7936 data_time: 0.0288 memory: 27786 loss: 0.0460 loss_text: 0.0281 loss_kernel: 0.0179 2022/11/02 04:13:48 - mmengine - INFO - Epoch(train) [362][55/63] lr: 1.0000e-05 eta: 9:32:40 time: 0.7701 data_time: 0.0193 memory: 27786 loss: 0.0437 loss_text: 0.0270 loss_kernel: 0.0167 2022/11/02 04:13:52 - mmengine - INFO - Epoch(train) [362][60/63] lr: 1.0000e-05 eta: 9:32:07 time: 0.7746 data_time: 0.0183 memory: 27786 loss: 0.0482 loss_text: 0.0292 loss_kernel: 0.0189 2022/11/02 04:13:54 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:15:34 - mmengine - INFO - Epoch(train) [363][5/63] lr: 1.0000e-05 eta: 9:32:07 time: 10.3806 data_time: 9.6497 memory: 27786 loss: 0.0592 loss_text: 0.0367 loss_kernel: 0.0225 2022/11/02 04:15:38 - mmengine - INFO - Epoch(train) [363][10/63] lr: 1.0000e-05 eta: 9:32:29 time: 10.4481 data_time: 9.6730 memory: 27786 loss: 0.0601 loss_text: 0.0374 loss_kernel: 0.0227 2022/11/02 04:15:42 - mmengine - INFO - Epoch(train) [363][15/63] lr: 1.0000e-05 eta: 9:32:29 time: 0.8068 data_time: 0.0362 memory: 27786 loss: 0.0544 loss_text: 0.0330 loss_kernel: 0.0215 2022/11/02 04:15:46 - mmengine - INFO - Epoch(train) [363][20/63] lr: 1.0000e-05 eta: 9:31:56 time: 0.7896 data_time: 0.0191 memory: 27786 loss: 0.0524 loss_text: 0.0316 loss_kernel: 0.0208 2022/11/02 04:15:50 - mmengine - INFO - Epoch(train) [363][25/63] lr: 1.0000e-05 eta: 9:31:56 time: 0.7918 data_time: 0.0303 memory: 27786 loss: 0.0517 loss_text: 0.0320 loss_kernel: 0.0197 2022/11/02 04:15:54 - mmengine - INFO - Epoch(train) [363][30/63] lr: 1.0000e-05 eta: 9:31:23 time: 0.8020 data_time: 0.0293 memory: 27786 loss: 0.0485 loss_text: 0.0295 loss_kernel: 0.0190 2022/11/02 04:15:58 - mmengine - INFO - Epoch(train) [363][35/63] lr: 1.0000e-05 eta: 9:31:23 time: 0.8115 data_time: 0.0421 memory: 27786 loss: 0.0467 loss_text: 0.0279 loss_kernel: 0.0189 2022/11/02 04:16:02 - mmengine - INFO - Epoch(train) [363][40/63] lr: 1.0000e-05 eta: 9:30:49 time: 0.7930 data_time: 0.0378 memory: 27786 loss: 0.0466 loss_text: 0.0284 loss_kernel: 0.0182 2022/11/02 04:16:06 - mmengine - INFO - Epoch(train) [363][45/63] lr: 1.0000e-05 eta: 9:30:49 time: 0.7850 data_time: 0.0226 memory: 27786 loss: 0.0495 loss_text: 0.0301 loss_kernel: 0.0193 2022/11/02 04:16:10 - mmengine - INFO - Epoch(train) [363][50/63] lr: 1.0000e-05 eta: 9:30:16 time: 0.7952 data_time: 0.0309 memory: 27786 loss: 0.0541 loss_text: 0.0331 loss_kernel: 0.0210 2022/11/02 04:16:14 - mmengine - INFO - Epoch(train) [363][55/63] lr: 1.0000e-05 eta: 9:30:16 time: 0.7899 data_time: 0.0232 memory: 27786 loss: 0.0547 loss_text: 0.0338 loss_kernel: 0.0209 2022/11/02 04:16:18 - mmengine - INFO - Epoch(train) [363][60/63] lr: 1.0000e-05 eta: 9:29:43 time: 0.7769 data_time: 0.0160 memory: 27786 loss: 0.0489 loss_text: 0.0294 loss_kernel: 0.0195 2022/11/02 04:16:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:18:01 - mmengine - INFO - Epoch(train) [364][5/63] lr: 1.0000e-05 eta: 9:29:43 time: 10.4091 data_time: 9.6711 memory: 27786 loss: 0.0403 loss_text: 0.0238 loss_kernel: 0.0165 2022/11/02 04:18:05 - mmengine - INFO - Epoch(train) [364][10/63] lr: 1.0000e-05 eta: 9:30:05 time: 10.4693 data_time: 9.6845 memory: 27786 loss: 0.0466 loss_text: 0.0278 loss_kernel: 0.0188 2022/11/02 04:18:08 - mmengine - INFO - Epoch(train) [364][15/63] lr: 1.0000e-05 eta: 9:30:05 time: 0.7977 data_time: 0.0300 memory: 27786 loss: 0.0530 loss_text: 0.0323 loss_kernel: 0.0207 2022/11/02 04:18:12 - mmengine - INFO - Epoch(train) [364][20/63] lr: 1.0000e-05 eta: 9:29:31 time: 0.7806 data_time: 0.0274 memory: 27786 loss: 0.0603 loss_text: 0.0375 loss_kernel: 0.0227 2022/11/02 04:18:16 - mmengine - INFO - Epoch(train) [364][25/63] lr: 1.0000e-05 eta: 9:29:31 time: 0.7997 data_time: 0.0260 memory: 27786 loss: 0.0543 loss_text: 0.0331 loss_kernel: 0.0212 2022/11/02 04:18:20 - mmengine - INFO - Epoch(train) [364][30/63] lr: 1.0000e-05 eta: 9:28:58 time: 0.8001 data_time: 0.0207 memory: 27786 loss: 0.0398 loss_text: 0.0232 loss_kernel: 0.0166 2022/11/02 04:18:24 - mmengine - INFO - Epoch(train) [364][35/63] lr: 1.0000e-05 eta: 9:28:58 time: 0.7989 data_time: 0.0323 memory: 27786 loss: 0.0450 loss_text: 0.0271 loss_kernel: 0.0179 2022/11/02 04:18:29 - mmengine - INFO - Epoch(train) [364][40/63] lr: 1.0000e-05 eta: 9:28:25 time: 0.8080 data_time: 0.0257 memory: 27786 loss: 0.0471 loss_text: 0.0281 loss_kernel: 0.0190 2022/11/02 04:18:33 - mmengine - INFO - Epoch(train) [364][45/63] lr: 1.0000e-05 eta: 9:28:25 time: 0.8151 data_time: 0.0207 memory: 27786 loss: 0.0472 loss_text: 0.0280 loss_kernel: 0.0192 2022/11/02 04:18:37 - mmengine - INFO - Epoch(train) [364][50/63] lr: 1.0000e-05 eta: 9:27:52 time: 0.8072 data_time: 0.0264 memory: 27786 loss: 0.0516 loss_text: 0.0314 loss_kernel: 0.0201 2022/11/02 04:18:41 - mmengine - INFO - Epoch(train) [364][55/63] lr: 1.0000e-05 eta: 9:27:52 time: 0.7919 data_time: 0.0207 memory: 27786 loss: 0.0515 loss_text: 0.0318 loss_kernel: 0.0197 2022/11/02 04:18:44 - mmengine - INFO - Epoch(train) [364][60/63] lr: 1.0000e-05 eta: 9:27:19 time: 0.7808 data_time: 0.0226 memory: 27786 loss: 0.0506 loss_text: 0.0310 loss_kernel: 0.0195 2022/11/02 04:18:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:20:27 - mmengine - INFO - Epoch(train) [365][5/63] lr: 1.0000e-05 eta: 9:27:19 time: 10.4066 data_time: 9.6781 memory: 27786 loss: 0.0482 loss_text: 0.0290 loss_kernel: 0.0192 2022/11/02 04:20:31 - mmengine - INFO - Epoch(train) [365][10/63] lr: 1.0000e-05 eta: 9:27:40 time: 10.4473 data_time: 9.6734 memory: 27786 loss: 0.0532 loss_text: 0.0322 loss_kernel: 0.0210 2022/11/02 04:20:35 - mmengine - INFO - Epoch(train) [365][15/63] lr: 1.0000e-05 eta: 9:27:40 time: 0.7850 data_time: 0.0232 memory: 27786 loss: 0.0446 loss_text: 0.0264 loss_kernel: 0.0182 2022/11/02 04:20:39 - mmengine - INFO - Epoch(train) [365][20/63] lr: 1.0000e-05 eta: 9:27:07 time: 0.8082 data_time: 0.0316 memory: 27786 loss: 0.0431 loss_text: 0.0255 loss_kernel: 0.0175 2022/11/02 04:20:43 - mmengine - INFO - Epoch(train) [365][25/63] lr: 1.0000e-05 eta: 9:27:07 time: 0.7986 data_time: 0.0227 memory: 27786 loss: 0.0504 loss_text: 0.0308 loss_kernel: 0.0196 2022/11/02 04:20:47 - mmengine - INFO - Epoch(train) [365][30/63] lr: 1.0000e-05 eta: 9:26:34 time: 0.7959 data_time: 0.0269 memory: 27786 loss: 0.0482 loss_text: 0.0295 loss_kernel: 0.0187 2022/11/02 04:20:51 - mmengine - INFO - Epoch(train) [365][35/63] lr: 1.0000e-05 eta: 9:26:34 time: 0.7913 data_time: 0.0207 memory: 27786 loss: 0.0392 loss_text: 0.0233 loss_kernel: 0.0158 2022/11/02 04:20:55 - mmengine - INFO - Epoch(train) [365][40/63] lr: 1.0000e-05 eta: 9:26:01 time: 0.7912 data_time: 0.0224 memory: 27786 loss: 0.0386 loss_text: 0.0222 loss_kernel: 0.0164 2022/11/02 04:20:59 - mmengine - INFO - Epoch(train) [365][45/63] lr: 1.0000e-05 eta: 9:26:01 time: 0.8000 data_time: 0.0354 memory: 27786 loss: 0.0462 loss_text: 0.0273 loss_kernel: 0.0189 2022/11/02 04:21:03 - mmengine - INFO - Epoch(train) [365][50/63] lr: 1.0000e-05 eta: 9:25:28 time: 0.7904 data_time: 0.0205 memory: 27786 loss: 0.0458 loss_text: 0.0271 loss_kernel: 0.0188 2022/11/02 04:21:07 - mmengine - INFO - Epoch(train) [365][55/63] lr: 1.0000e-05 eta: 9:25:28 time: 0.7975 data_time: 0.0160 memory: 27786 loss: 0.0501 loss_text: 0.0305 loss_kernel: 0.0196 2022/11/02 04:21:11 - mmengine - INFO - Epoch(train) [365][60/63] lr: 1.0000e-05 eta: 9:24:54 time: 0.7933 data_time: 0.0213 memory: 27786 loss: 0.0508 loss_text: 0.0310 loss_kernel: 0.0198 2022/11/02 04:21:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:22:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:22:53 - mmengine - INFO - Epoch(train) [366][5/63] lr: 1.0000e-05 eta: 9:24:54 time: 10.3761 data_time: 9.6318 memory: 27786 loss: 0.0394 loss_text: 0.0223 loss_kernel: 0.0171 2022/11/02 04:22:57 - mmengine - INFO - Epoch(train) [366][10/63] lr: 1.0000e-05 eta: 9:25:15 time: 10.4284 data_time: 9.6394 memory: 27786 loss: 0.0459 loss_text: 0.0273 loss_kernel: 0.0186 2022/11/02 04:23:01 - mmengine - INFO - Epoch(train) [366][15/63] lr: 1.0000e-05 eta: 9:25:15 time: 0.7919 data_time: 0.0255 memory: 27786 loss: 0.0478 loss_text: 0.0283 loss_kernel: 0.0194 2022/11/02 04:23:05 - mmengine - INFO - Epoch(train) [366][20/63] lr: 1.0000e-05 eta: 9:24:42 time: 0.7959 data_time: 0.0222 memory: 27786 loss: 0.0503 loss_text: 0.0301 loss_kernel: 0.0203 2022/11/02 04:23:09 - mmengine - INFO - Epoch(train) [366][25/63] lr: 1.0000e-05 eta: 9:24:42 time: 0.8073 data_time: 0.0338 memory: 27786 loss: 0.0489 loss_text: 0.0297 loss_kernel: 0.0193 2022/11/02 04:23:13 - mmengine - INFO - Epoch(train) [366][30/63] lr: 1.0000e-05 eta: 9:24:09 time: 0.7855 data_time: 0.0314 memory: 27786 loss: 0.0416 loss_text: 0.0246 loss_kernel: 0.0169 2022/11/02 04:23:17 - mmengine - INFO - Epoch(train) [366][35/63] lr: 1.0000e-05 eta: 9:24:09 time: 0.7784 data_time: 0.0221 memory: 27786 loss: 0.0411 loss_text: 0.0241 loss_kernel: 0.0170 2022/11/02 04:23:21 - mmengine - INFO - Epoch(train) [366][40/63] lr: 1.0000e-05 eta: 9:23:36 time: 0.7759 data_time: 0.0228 memory: 27786 loss: 0.0448 loss_text: 0.0263 loss_kernel: 0.0185 2022/11/02 04:23:25 - mmengine - INFO - Epoch(train) [366][45/63] lr: 1.0000e-05 eta: 9:23:36 time: 0.7821 data_time: 0.0301 memory: 27786 loss: 0.0466 loss_text: 0.0277 loss_kernel: 0.0190 2022/11/02 04:23:28 - mmengine - INFO - Epoch(train) [366][50/63] lr: 1.0000e-05 eta: 9:23:03 time: 0.7937 data_time: 0.0297 memory: 27786 loss: 0.0417 loss_text: 0.0247 loss_kernel: 0.0170 2022/11/02 04:23:32 - mmengine - INFO - Epoch(train) [366][55/63] lr: 1.0000e-05 eta: 9:23:03 time: 0.7782 data_time: 0.0237 memory: 27786 loss: 0.0506 loss_text: 0.0311 loss_kernel: 0.0194 2022/11/02 04:23:36 - mmengine - INFO - Epoch(train) [366][60/63] lr: 1.0000e-05 eta: 9:22:30 time: 0.7819 data_time: 0.0214 memory: 27786 loss: 0.0517 loss_text: 0.0317 loss_kernel: 0.0200 2022/11/02 04:23:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:25:19 - mmengine - INFO - Epoch(train) [367][5/63] lr: 1.0000e-05 eta: 9:22:30 time: 10.4129 data_time: 9.6767 memory: 27786 loss: 0.0488 loss_text: 0.0298 loss_kernel: 0.0189 2022/11/02 04:25:23 - mmengine - INFO - Epoch(train) [367][10/63] lr: 1.0000e-05 eta: 9:22:51 time: 10.4716 data_time: 9.6987 memory: 27786 loss: 0.0464 loss_text: 0.0284 loss_kernel: 0.0180 2022/11/02 04:25:27 - mmengine - INFO - Epoch(train) [367][15/63] lr: 1.0000e-05 eta: 9:22:51 time: 0.8002 data_time: 0.0309 memory: 27786 loss: 0.0457 loss_text: 0.0278 loss_kernel: 0.0179 2022/11/02 04:25:31 - mmengine - INFO - Epoch(train) [367][20/63] lr: 1.0000e-05 eta: 9:22:18 time: 0.7872 data_time: 0.0209 memory: 27786 loss: 0.0599 loss_text: 0.0377 loss_kernel: 0.0221 2022/11/02 04:25:35 - mmengine - INFO - Epoch(train) [367][25/63] lr: 1.0000e-05 eta: 9:22:18 time: 0.8021 data_time: 0.0343 memory: 27786 loss: 0.0599 loss_text: 0.0380 loss_kernel: 0.0219 2022/11/02 04:25:39 - mmengine - INFO - Epoch(train) [367][30/63] lr: 1.0000e-05 eta: 9:21:45 time: 0.7966 data_time: 0.0275 memory: 27786 loss: 0.0467 loss_text: 0.0284 loss_kernel: 0.0183 2022/11/02 04:25:43 - mmengine - INFO - Epoch(train) [367][35/63] lr: 1.0000e-05 eta: 9:21:45 time: 0.7986 data_time: 0.0295 memory: 27786 loss: 0.0459 loss_text: 0.0264 loss_kernel: 0.0195 2022/11/02 04:25:47 - mmengine - INFO - Epoch(train) [367][40/63] lr: 1.0000e-05 eta: 9:21:12 time: 0.7904 data_time: 0.0223 memory: 27786 loss: 0.0479 loss_text: 0.0282 loss_kernel: 0.0197 2022/11/02 04:25:51 - mmengine - INFO - Epoch(train) [367][45/63] lr: 1.0000e-05 eta: 9:21:12 time: 0.7833 data_time: 0.0223 memory: 27786 loss: 0.0436 loss_text: 0.0259 loss_kernel: 0.0176 2022/11/02 04:25:55 - mmengine - INFO - Epoch(train) [367][50/63] lr: 1.0000e-05 eta: 9:20:39 time: 0.8070 data_time: 0.0344 memory: 27786 loss: 0.0510 loss_text: 0.0306 loss_kernel: 0.0204 2022/11/02 04:25:59 - mmengine - INFO - Epoch(train) [367][55/63] lr: 1.0000e-05 eta: 9:20:39 time: 0.7935 data_time: 0.0189 memory: 27786 loss: 0.0529 loss_text: 0.0329 loss_kernel: 0.0199 2022/11/02 04:26:03 - mmengine - INFO - Epoch(train) [367][60/63] lr: 1.0000e-05 eta: 9:20:06 time: 0.7891 data_time: 0.0162 memory: 27786 loss: 0.0481 loss_text: 0.0298 loss_kernel: 0.0182 2022/11/02 04:26:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:27:45 - mmengine - INFO - Epoch(train) [368][5/63] lr: 1.0000e-05 eta: 9:20:06 time: 10.3306 data_time: 9.5998 memory: 27786 loss: 0.0421 loss_text: 0.0248 loss_kernel: 0.0174 2022/11/02 04:27:49 - mmengine - INFO - Epoch(train) [368][10/63] lr: 1.0000e-05 eta: 9:20:26 time: 10.3732 data_time: 9.6128 memory: 27786 loss: 0.0403 loss_text: 0.0233 loss_kernel: 0.0170 2022/11/02 04:27:52 - mmengine - INFO - Epoch(train) [368][15/63] lr: 1.0000e-05 eta: 9:20:26 time: 0.7878 data_time: 0.0234 memory: 27786 loss: 0.0472 loss_text: 0.0279 loss_kernel: 0.0193 2022/11/02 04:27:56 - mmengine - INFO - Epoch(train) [368][20/63] lr: 1.0000e-05 eta: 9:19:53 time: 0.7787 data_time: 0.0251 memory: 27786 loss: 0.0487 loss_text: 0.0292 loss_kernel: 0.0196 2022/11/02 04:28:00 - mmengine - INFO - Epoch(train) [368][25/63] lr: 1.0000e-05 eta: 9:19:53 time: 0.7787 data_time: 0.0290 memory: 27786 loss: 0.0407 loss_text: 0.0237 loss_kernel: 0.0170 2022/11/02 04:28:04 - mmengine - INFO - Epoch(train) [368][30/63] lr: 1.0000e-05 eta: 9:19:20 time: 0.7780 data_time: 0.0222 memory: 27786 loss: 0.0462 loss_text: 0.0271 loss_kernel: 0.0191 2022/11/02 04:28:08 - mmengine - INFO - Epoch(train) [368][35/63] lr: 1.0000e-05 eta: 9:19:20 time: 0.7820 data_time: 0.0227 memory: 27786 loss: 0.0555 loss_text: 0.0335 loss_kernel: 0.0220 2022/11/02 04:28:12 - mmengine - INFO - Epoch(train) [368][40/63] lr: 1.0000e-05 eta: 9:18:47 time: 0.7901 data_time: 0.0240 memory: 27786 loss: 0.0499 loss_text: 0.0297 loss_kernel: 0.0201 2022/11/02 04:28:16 - mmengine - INFO - Epoch(train) [368][45/63] lr: 1.0000e-05 eta: 9:18:47 time: 0.7982 data_time: 0.0295 memory: 27786 loss: 0.0468 loss_text: 0.0277 loss_kernel: 0.0192 2022/11/02 04:28:20 - mmengine - INFO - Epoch(train) [368][50/63] lr: 1.0000e-05 eta: 9:18:14 time: 0.7840 data_time: 0.0284 memory: 27786 loss: 0.0584 loss_text: 0.0357 loss_kernel: 0.0227 2022/11/02 04:28:24 - mmengine - INFO - Epoch(train) [368][55/63] lr: 1.0000e-05 eta: 9:18:14 time: 0.7799 data_time: 0.0203 memory: 27786 loss: 0.0669 loss_text: 0.0416 loss_kernel: 0.0253 2022/11/02 04:28:28 - mmengine - INFO - Epoch(train) [368][60/63] lr: 1.0000e-05 eta: 9:17:41 time: 0.7788 data_time: 0.0209 memory: 27786 loss: 0.0690 loss_text: 0.0433 loss_kernel: 0.0257 2022/11/02 04:28:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:30:10 - mmengine - INFO - Epoch(train) [369][5/63] lr: 1.0000e-05 eta: 9:17:41 time: 10.4236 data_time: 9.6966 memory: 27786 loss: 0.0459 loss_text: 0.0276 loss_kernel: 0.0182 2022/11/02 04:30:15 - mmengine - INFO - Epoch(train) [369][10/63] lr: 1.0000e-05 eta: 9:18:01 time: 10.4953 data_time: 9.7170 memory: 27786 loss: 0.0407 loss_text: 0.0237 loss_kernel: 0.0170 2022/11/02 04:30:19 - mmengine - INFO - Epoch(train) [369][15/63] lr: 1.0000e-05 eta: 9:18:01 time: 0.8179 data_time: 0.0424 memory: 27786 loss: 0.0480 loss_text: 0.0283 loss_kernel: 0.0197 2022/11/02 04:30:22 - mmengine - INFO - Epoch(train) [369][20/63] lr: 1.0000e-05 eta: 9:17:28 time: 0.7903 data_time: 0.0238 memory: 27786 loss: 0.0580 loss_text: 0.0356 loss_kernel: 0.0224 2022/11/02 04:30:26 - mmengine - INFO - Epoch(train) [369][25/63] lr: 1.0000e-05 eta: 9:17:28 time: 0.7863 data_time: 0.0256 memory: 27786 loss: 0.0498 loss_text: 0.0303 loss_kernel: 0.0195 2022/11/02 04:30:30 - mmengine - INFO - Epoch(train) [369][30/63] lr: 1.0000e-05 eta: 9:16:55 time: 0.7954 data_time: 0.0265 memory: 27786 loss: 0.0393 loss_text: 0.0225 loss_kernel: 0.0168 2022/11/02 04:30:34 - mmengine - INFO - Epoch(train) [369][35/63] lr: 1.0000e-05 eta: 9:16:55 time: 0.7900 data_time: 0.0233 memory: 27786 loss: 0.0419 loss_text: 0.0240 loss_kernel: 0.0179 2022/11/02 04:30:38 - mmengine - INFO - Epoch(train) [369][40/63] lr: 1.0000e-05 eta: 9:16:22 time: 0.7898 data_time: 0.0244 memory: 27786 loss: 0.0427 loss_text: 0.0251 loss_kernel: 0.0176 2022/11/02 04:30:42 - mmengine - INFO - Epoch(train) [369][45/63] lr: 1.0000e-05 eta: 9:16:22 time: 0.8010 data_time: 0.0246 memory: 27786 loss: 0.0500 loss_text: 0.0311 loss_kernel: 0.0189 2022/11/02 04:30:47 - mmengine - INFO - Epoch(train) [369][50/63] lr: 1.0000e-05 eta: 9:15:50 time: 0.8165 data_time: 0.0351 memory: 27786 loss: 0.0583 loss_text: 0.0367 loss_kernel: 0.0216 2022/11/02 04:30:50 - mmengine - INFO - Epoch(train) [369][55/63] lr: 1.0000e-05 eta: 9:15:50 time: 0.8099 data_time: 0.0310 memory: 27786 loss: 0.0576 loss_text: 0.0355 loss_kernel: 0.0221 2022/11/02 04:30:54 - mmengine - INFO - Epoch(train) [369][60/63] lr: 1.0000e-05 eta: 9:15:17 time: 0.7938 data_time: 0.0175 memory: 27786 loss: 0.0527 loss_text: 0.0320 loss_kernel: 0.0207 2022/11/02 04:30:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:32:37 - mmengine - INFO - Epoch(train) [370][5/63] lr: 1.0000e-05 eta: 9:15:17 time: 10.4186 data_time: 9.6689 memory: 27786 loss: 0.0532 loss_text: 0.0322 loss_kernel: 0.0210 2022/11/02 04:32:41 - mmengine - INFO - Epoch(train) [370][10/63] lr: 1.0000e-05 eta: 9:15:37 time: 10.4870 data_time: 9.6906 memory: 27786 loss: 0.0429 loss_text: 0.0253 loss_kernel: 0.0176 2022/11/02 04:32:45 - mmengine - INFO - Epoch(train) [370][15/63] lr: 1.0000e-05 eta: 9:15:37 time: 0.8136 data_time: 0.0296 memory: 27786 loss: 0.0482 loss_text: 0.0290 loss_kernel: 0.0192 2022/11/02 04:32:49 - mmengine - INFO - Epoch(train) [370][20/63] lr: 1.0000e-05 eta: 9:15:04 time: 0.8096 data_time: 0.0206 memory: 27786 loss: 0.0487 loss_text: 0.0288 loss_kernel: 0.0200 2022/11/02 04:32:54 - mmengine - INFO - Epoch(train) [370][25/63] lr: 1.0000e-05 eta: 9:15:04 time: 0.8285 data_time: 0.0320 memory: 27786 loss: 0.0433 loss_text: 0.0252 loss_kernel: 0.0181 2022/11/02 04:32:57 - mmengine - INFO - Epoch(train) [370][30/63] lr: 1.0000e-05 eta: 9:14:31 time: 0.8010 data_time: 0.0224 memory: 27786 loss: 0.0477 loss_text: 0.0285 loss_kernel: 0.0192 2022/11/02 04:33:01 - mmengine - INFO - Epoch(train) [370][35/63] lr: 1.0000e-05 eta: 9:14:31 time: 0.7798 data_time: 0.0211 memory: 27786 loss: 0.0468 loss_text: 0.0279 loss_kernel: 0.0189 2022/11/02 04:33:05 - mmengine - INFO - Epoch(train) [370][40/63] lr: 1.0000e-05 eta: 9:13:58 time: 0.7842 data_time: 0.0213 memory: 27786 loss: 0.0556 loss_text: 0.0332 loss_kernel: 0.0224 2022/11/02 04:33:09 - mmengine - INFO - Epoch(train) [370][45/63] lr: 1.0000e-05 eta: 9:13:58 time: 0.7815 data_time: 0.0206 memory: 27786 loss: 0.0541 loss_text: 0.0322 loss_kernel: 0.0219 2022/11/02 04:33:13 - mmengine - INFO - Epoch(train) [370][50/63] lr: 1.0000e-05 eta: 9:13:26 time: 0.7891 data_time: 0.0289 memory: 27786 loss: 0.0399 loss_text: 0.0231 loss_kernel: 0.0167 2022/11/02 04:33:17 - mmengine - INFO - Epoch(train) [370][55/63] lr: 1.0000e-05 eta: 9:13:26 time: 0.7873 data_time: 0.0229 memory: 27786 loss: 0.0474 loss_text: 0.0284 loss_kernel: 0.0191 2022/11/02 04:33:21 - mmengine - INFO - Epoch(train) [370][60/63] lr: 1.0000e-05 eta: 9:12:53 time: 0.7793 data_time: 0.0158 memory: 27786 loss: 0.0480 loss_text: 0.0291 loss_kernel: 0.0189 2022/11/02 04:33:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:35:02 - mmengine - INFO - Epoch(train) [371][5/63] lr: 1.0000e-05 eta: 9:12:53 time: 10.2477 data_time: 9.5143 memory: 27786 loss: 0.0495 loss_text: 0.0304 loss_kernel: 0.0191 2022/11/02 04:35:06 - mmengine - INFO - Epoch(train) [371][10/63] lr: 1.0000e-05 eta: 9:13:11 time: 10.3137 data_time: 9.5355 memory: 27786 loss: 0.0568 loss_text: 0.0351 loss_kernel: 0.0217 2022/11/02 04:35:10 - mmengine - INFO - Epoch(train) [371][15/63] lr: 1.0000e-05 eta: 9:13:11 time: 0.8019 data_time: 0.0283 memory: 27786 loss: 0.0540 loss_text: 0.0330 loss_kernel: 0.0210 2022/11/02 04:35:14 - mmengine - INFO - Epoch(train) [371][20/63] lr: 1.0000e-05 eta: 9:12:39 time: 0.7907 data_time: 0.0157 memory: 27786 loss: 0.0525 loss_text: 0.0324 loss_kernel: 0.0202 2022/11/02 04:35:18 - mmengine - INFO - Epoch(train) [371][25/63] lr: 1.0000e-05 eta: 9:12:39 time: 0.7966 data_time: 0.0305 memory: 27786 loss: 0.0642 loss_text: 0.0405 loss_kernel: 0.0237 2022/11/02 04:35:22 - mmengine - INFO - Epoch(train) [371][30/63] lr: 1.0000e-05 eta: 9:12:06 time: 0.7854 data_time: 0.0284 memory: 27786 loss: 0.0696 loss_text: 0.0441 loss_kernel: 0.0255 2022/11/02 04:35:26 - mmengine - INFO - Epoch(train) [371][35/63] lr: 1.0000e-05 eta: 9:12:06 time: 0.7778 data_time: 0.0219 memory: 27786 loss: 0.0523 loss_text: 0.0323 loss_kernel: 0.0200 2022/11/02 04:35:30 - mmengine - INFO - Epoch(train) [371][40/63] lr: 1.0000e-05 eta: 9:11:33 time: 0.7791 data_time: 0.0228 memory: 27786 loss: 0.0395 loss_text: 0.0235 loss_kernel: 0.0159 2022/11/02 04:35:34 - mmengine - INFO - Epoch(train) [371][45/63] lr: 1.0000e-05 eta: 9:11:33 time: 0.7951 data_time: 0.0309 memory: 27786 loss: 0.0457 loss_text: 0.0278 loss_kernel: 0.0179 2022/11/02 04:35:38 - mmengine - INFO - Epoch(train) [371][50/63] lr: 1.0000e-05 eta: 9:11:00 time: 0.7960 data_time: 0.0312 memory: 27786 loss: 0.0490 loss_text: 0.0296 loss_kernel: 0.0194 2022/11/02 04:35:42 - mmengine - INFO - Epoch(train) [371][55/63] lr: 1.0000e-05 eta: 9:11:00 time: 0.7780 data_time: 0.0206 memory: 27786 loss: 0.0465 loss_text: 0.0279 loss_kernel: 0.0187 2022/11/02 04:35:45 - mmengine - INFO - Epoch(train) [371][60/63] lr: 1.0000e-05 eta: 9:10:28 time: 0.7782 data_time: 0.0162 memory: 27786 loss: 0.0452 loss_text: 0.0270 loss_kernel: 0.0181 2022/11/02 04:35:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:37:26 - mmengine - INFO - Epoch(train) [372][5/63] lr: 1.0000e-05 eta: 9:10:28 time: 10.2456 data_time: 9.5136 memory: 27786 loss: 0.0451 loss_text: 0.0275 loss_kernel: 0.0176 2022/11/02 04:37:31 - mmengine - INFO - Epoch(train) [372][10/63] lr: 1.0000e-05 eta: 9:10:46 time: 10.3236 data_time: 9.5420 memory: 27786 loss: 0.0444 loss_text: 0.0263 loss_kernel: 0.0180 2022/11/02 04:37:35 - mmengine - INFO - Epoch(train) [372][15/63] lr: 1.0000e-05 eta: 9:10:46 time: 0.8359 data_time: 0.0576 memory: 27786 loss: 0.0423 loss_text: 0.0249 loss_kernel: 0.0174 2022/11/02 04:37:39 - mmengine - INFO - Epoch(train) [372][20/63] lr: 1.0000e-05 eta: 9:10:13 time: 0.8022 data_time: 0.0264 memory: 27786 loss: 0.0425 loss_text: 0.0259 loss_kernel: 0.0166 2022/11/02 04:37:43 - mmengine - INFO - Epoch(train) [372][25/63] lr: 1.0000e-05 eta: 9:10:13 time: 0.7896 data_time: 0.0184 memory: 27786 loss: 0.0389 loss_text: 0.0233 loss_kernel: 0.0156 2022/11/02 04:37:47 - mmengine - INFO - Epoch(train) [372][30/63] lr: 1.0000e-05 eta: 9:09:41 time: 0.8289 data_time: 0.0600 memory: 27786 loss: 0.0382 loss_text: 0.0222 loss_kernel: 0.0159 2022/11/02 04:37:51 - mmengine - INFO - Epoch(train) [372][35/63] lr: 1.0000e-05 eta: 9:09:41 time: 0.8151 data_time: 0.0474 memory: 27786 loss: 0.0527 loss_text: 0.0320 loss_kernel: 0.0207 2022/11/02 04:37:55 - mmengine - INFO - Epoch(train) [372][40/63] lr: 1.0000e-05 eta: 9:09:08 time: 0.8051 data_time: 0.0330 memory: 27786 loss: 0.0520 loss_text: 0.0318 loss_kernel: 0.0202 2022/11/02 04:37:59 - mmengine - INFO - Epoch(train) [372][45/63] lr: 1.0000e-05 eta: 9:09:08 time: 0.8165 data_time: 0.0384 memory: 27786 loss: 0.0385 loss_text: 0.0227 loss_kernel: 0.0159 2022/11/02 04:38:03 - mmengine - INFO - Epoch(train) [372][50/63] lr: 1.0000e-05 eta: 9:08:35 time: 0.7944 data_time: 0.0214 memory: 27786 loss: 0.0464 loss_text: 0.0285 loss_kernel: 0.0179 2022/11/02 04:38:07 - mmengine - INFO - Epoch(train) [372][55/63] lr: 1.0000e-05 eta: 9:08:35 time: 0.7931 data_time: 0.0256 memory: 27786 loss: 0.0497 loss_text: 0.0307 loss_kernel: 0.0190 2022/11/02 04:38:11 - mmengine - INFO - Epoch(train) [372][60/63] lr: 1.0000e-05 eta: 9:08:03 time: 0.7869 data_time: 0.0187 memory: 27786 loss: 0.0612 loss_text: 0.0378 loss_kernel: 0.0233 2022/11/02 04:38:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:39:53 - mmengine - INFO - Epoch(train) [373][5/63] lr: 1.0000e-05 eta: 9:08:03 time: 10.3118 data_time: 9.5841 memory: 27786 loss: 0.0450 loss_text: 0.0266 loss_kernel: 0.0185 2022/11/02 04:39:57 - mmengine - INFO - Epoch(train) [373][10/63] lr: 1.0000e-05 eta: 9:08:21 time: 10.3765 data_time: 9.6051 memory: 27786 loss: 0.0386 loss_text: 0.0221 loss_kernel: 0.0165 2022/11/02 04:40:01 - mmengine - INFO - Epoch(train) [373][15/63] lr: 1.0000e-05 eta: 9:08:21 time: 0.8016 data_time: 0.0345 memory: 27786 loss: 0.0406 loss_text: 0.0230 loss_kernel: 0.0176 2022/11/02 04:40:04 - mmengine - INFO - Epoch(train) [373][20/63] lr: 1.0000e-05 eta: 9:07:48 time: 0.7703 data_time: 0.0175 memory: 27786 loss: 0.0399 loss_text: 0.0226 loss_kernel: 0.0173 2022/11/02 04:40:08 - mmengine - INFO - Epoch(train) [373][25/63] lr: 1.0000e-05 eta: 9:07:48 time: 0.7803 data_time: 0.0287 memory: 27786 loss: 0.0491 loss_text: 0.0294 loss_kernel: 0.0197 2022/11/02 04:40:12 - mmengine - INFO - Epoch(train) [373][30/63] lr: 1.0000e-05 eta: 9:07:16 time: 0.7868 data_time: 0.0213 memory: 27786 loss: 0.0502 loss_text: 0.0300 loss_kernel: 0.0201 2022/11/02 04:40:16 - mmengine - INFO - Epoch(train) [373][35/63] lr: 1.0000e-05 eta: 9:07:16 time: 0.7963 data_time: 0.0213 memory: 27786 loss: 0.0564 loss_text: 0.0345 loss_kernel: 0.0219 2022/11/02 04:40:20 - mmengine - INFO - Epoch(train) [373][40/63] lr: 1.0000e-05 eta: 9:06:43 time: 0.7904 data_time: 0.0251 memory: 27786 loss: 0.0568 loss_text: 0.0354 loss_kernel: 0.0214 2022/11/02 04:40:24 - mmengine - INFO - Epoch(train) [373][45/63] lr: 1.0000e-05 eta: 9:06:43 time: 0.7932 data_time: 0.0211 memory: 27786 loss: 0.0431 loss_text: 0.0260 loss_kernel: 0.0172 2022/11/02 04:40:28 - mmengine - INFO - Epoch(train) [373][50/63] lr: 1.0000e-05 eta: 9:06:11 time: 0.8062 data_time: 0.0289 memory: 27786 loss: 0.0435 loss_text: 0.0260 loss_kernel: 0.0175 2022/11/02 04:40:32 - mmengine - INFO - Epoch(train) [373][55/63] lr: 1.0000e-05 eta: 9:06:11 time: 0.7849 data_time: 0.0253 memory: 27786 loss: 0.0404 loss_text: 0.0240 loss_kernel: 0.0163 2022/11/02 04:40:36 - mmengine - INFO - Epoch(train) [373][60/63] lr: 1.0000e-05 eta: 9:05:38 time: 0.7710 data_time: 0.0168 memory: 27786 loss: 0.0590 loss_text: 0.0369 loss_kernel: 0.0221 2022/11/02 04:40:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:42:19 - mmengine - INFO - Epoch(train) [374][5/63] lr: 1.0000e-05 eta: 9:05:38 time: 10.4738 data_time: 9.7276 memory: 27786 loss: 0.0458 loss_text: 0.0274 loss_kernel: 0.0183 2022/11/02 04:42:23 - mmengine - INFO - Epoch(train) [374][10/63] lr: 1.0000e-05 eta: 9:05:57 time: 10.5237 data_time: 9.7421 memory: 27786 loss: 0.0460 loss_text: 0.0275 loss_kernel: 0.0185 2022/11/02 04:42:27 - mmengine - INFO - Epoch(train) [374][15/63] lr: 1.0000e-05 eta: 9:05:57 time: 0.7876 data_time: 0.0234 memory: 27786 loss: 0.0498 loss_text: 0.0286 loss_kernel: 0.0212 2022/11/02 04:42:31 - mmengine - INFO - Epoch(train) [374][20/63] lr: 1.0000e-05 eta: 9:05:24 time: 0.7863 data_time: 0.0260 memory: 27786 loss: 0.0542 loss_text: 0.0321 loss_kernel: 0.0222 2022/11/02 04:42:35 - mmengine - INFO - Epoch(train) [374][25/63] lr: 1.0000e-05 eta: 9:05:24 time: 0.8025 data_time: 0.0402 memory: 27786 loss: 0.0568 loss_text: 0.0354 loss_kernel: 0.0214 2022/11/02 04:42:39 - mmengine - INFO - Epoch(train) [374][30/63] lr: 1.0000e-05 eta: 9:04:51 time: 0.7866 data_time: 0.0225 memory: 27786 loss: 0.0467 loss_text: 0.0283 loss_kernel: 0.0184 2022/11/02 04:42:43 - mmengine - INFO - Epoch(train) [374][35/63] lr: 1.0000e-05 eta: 9:04:51 time: 0.7920 data_time: 0.0201 memory: 27786 loss: 0.0493 loss_text: 0.0294 loss_kernel: 0.0198 2022/11/02 04:42:47 - mmengine - INFO - Epoch(train) [374][40/63] lr: 1.0000e-05 eta: 9:04:19 time: 0.7964 data_time: 0.0222 memory: 27786 loss: 0.0542 loss_text: 0.0325 loss_kernel: 0.0217 2022/11/02 04:42:51 - mmengine - INFO - Epoch(train) [374][45/63] lr: 1.0000e-05 eta: 9:04:19 time: 0.7783 data_time: 0.0185 memory: 27786 loss: 0.0460 loss_text: 0.0275 loss_kernel: 0.0185 2022/11/02 04:42:55 - mmengine - INFO - Epoch(train) [374][50/63] lr: 1.0000e-05 eta: 9:03:46 time: 0.7855 data_time: 0.0262 memory: 27786 loss: 0.0478 loss_text: 0.0289 loss_kernel: 0.0189 2022/11/02 04:42:59 - mmengine - INFO - Epoch(train) [374][55/63] lr: 1.0000e-05 eta: 9:03:46 time: 0.7761 data_time: 0.0207 memory: 27786 loss: 0.0472 loss_text: 0.0279 loss_kernel: 0.0193 2022/11/02 04:43:03 - mmengine - INFO - Epoch(train) [374][60/63] lr: 1.0000e-05 eta: 9:03:14 time: 0.7756 data_time: 0.0191 memory: 27786 loss: 0.0432 loss_text: 0.0254 loss_kernel: 0.0178 2022/11/02 04:43:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:44:45 - mmengine - INFO - Epoch(train) [375][5/63] lr: 1.0000e-05 eta: 9:03:14 time: 10.3770 data_time: 9.6442 memory: 27786 loss: 0.0635 loss_text: 0.0398 loss_kernel: 0.0237 2022/11/02 04:44:49 - mmengine - INFO - Epoch(train) [375][10/63] lr: 1.0000e-05 eta: 9:03:32 time: 10.4429 data_time: 9.6705 memory: 27786 loss: 0.0478 loss_text: 0.0281 loss_kernel: 0.0198 2022/11/02 04:44:53 - mmengine - INFO - Epoch(train) [375][15/63] lr: 1.0000e-05 eta: 9:03:32 time: 0.7977 data_time: 0.0328 memory: 27786 loss: 0.0549 loss_text: 0.0332 loss_kernel: 0.0217 2022/11/02 04:44:57 - mmengine - INFO - Epoch(train) [375][20/63] lr: 1.0000e-05 eta: 9:02:59 time: 0.7835 data_time: 0.0168 memory: 27786 loss: 0.0534 loss_text: 0.0329 loss_kernel: 0.0204 2022/11/02 04:45:01 - mmengine - INFO - Epoch(train) [375][25/63] lr: 1.0000e-05 eta: 9:02:59 time: 0.8068 data_time: 0.0330 memory: 27786 loss: 0.0482 loss_text: 0.0286 loss_kernel: 0.0196 2022/11/02 04:45:05 - mmengine - INFO - Epoch(train) [375][30/63] lr: 1.0000e-05 eta: 9:02:27 time: 0.7957 data_time: 0.0226 memory: 27786 loss: 0.0594 loss_text: 0.0364 loss_kernel: 0.0229 2022/11/02 04:45:09 - mmengine - INFO - Epoch(train) [375][35/63] lr: 1.0000e-05 eta: 9:02:27 time: 0.8005 data_time: 0.0294 memory: 27786 loss: 0.0606 loss_text: 0.0377 loss_kernel: 0.0229 2022/11/02 04:45:13 - mmengine - INFO - Epoch(train) [375][40/63] lr: 1.0000e-05 eta: 9:01:54 time: 0.7956 data_time: 0.0312 memory: 27786 loss: 0.0499 loss_text: 0.0301 loss_kernel: 0.0198 2022/11/02 04:45:17 - mmengine - INFO - Epoch(train) [375][45/63] lr: 1.0000e-05 eta: 9:01:54 time: 0.7818 data_time: 0.0175 memory: 27786 loss: 0.0472 loss_text: 0.0281 loss_kernel: 0.0191 2022/11/02 04:45:21 - mmengine - INFO - Epoch(train) [375][50/63] lr: 1.0000e-05 eta: 9:01:22 time: 0.8058 data_time: 0.0292 memory: 27786 loss: 0.0536 loss_text: 0.0327 loss_kernel: 0.0209 2022/11/02 04:45:25 - mmengine - INFO - Epoch(train) [375][55/63] lr: 1.0000e-05 eta: 9:01:22 time: 0.7911 data_time: 0.0223 memory: 27786 loss: 0.0450 loss_text: 0.0276 loss_kernel: 0.0175 2022/11/02 04:45:29 - mmengine - INFO - Epoch(train) [375][60/63] lr: 1.0000e-05 eta: 9:00:50 time: 0.7724 data_time: 0.0149 memory: 27786 loss: 0.0421 loss_text: 0.0258 loss_kernel: 0.0163 2022/11/02 04:45:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406 2022/11/02 04:47:10 - mmengine - INFO - Epoch(train) [376][5/63] lr: 1.0000e-05 eta: 9:00:50 time: 10.2513 data_time: 9.5051 memory: 27786 loss: 0.0613 loss_text: 0.0374 loss_kernel: 0.0240 2022/11/02 04:47:14 - mmengine - INFO - Epoch(train) [376][10/63] lr: 1.0000e-05 eta: 9:01:06 time: 10.3201 data_time: 9.5335 memory: 27786 loss: 0.0544 loss_text: 0.0326 loss_kernel: 0.0218 2022/11/02 04:47:18 - mmengine - INFO - Epoch(train) [376][15/63] lr: 1.0000e-05 eta: 9:01:06 time: 0.8155 data_time: 0.0359 memory: 27786 loss: 0.0474 loss_text: 0.0280 loss_kernel: 0.0193 2022/11/02 04:47:22