2022/11/01 13:13:57 - 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: 246353287 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 13:13:57 - 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='quad')), data_preprocessor=dict( type='TextDetDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True, pad_size_divisor=32)) train_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='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')) ] ic15_det_data_root = 'data/det/icdar2015' ic15_det_train = dict( type='OCRDataset', data_root='data/det/icdar2015', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='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')) ]) ic15_det_test = dict( type='OCRDataset', data_root='data/det/icdar2015', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(2240, 2240), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) default_scope = 'mmocr' env_cfg = dict( cudnn_benchmark=True, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) randomness = dict(seed=None) default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=5), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=20, out_dir='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)] train_dataloader = dict( batch_size=16, num_workers=8, persistent_workers=False, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/icdar2015', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='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/icdar2015', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(2240, 2240), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) test_dataloader = dict( batch_size=1, num_workers=1, persistent_workers=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/icdar2015', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(2240, 2240), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) auto_scale_lr = dict(base_batch_size=256) launcher = 'slurm' work_dir = './work_dirs/psenet_resnet50-oclip_fpnf_600e_icdar2015' 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 13:14:43 - mmengine - INFO - Auto resumed from the latest checkpoint None. 2022/11/01 13:14:43 - mmengine - INFO - Checkpoints will be saved to sproject:s3://oclip/psenet_resnet50-oclip_fpnf_600e_icdar2015. 2022/11/01 13:16:55 - mmengine - INFO - Epoch(train) [1][5/63] lr: 1.0000e-04 memory: 59684 data_time: 21.8465 loss: 0.7053 loss_text: 0.4278 loss_kernel: 0.2775 time: 26.3858 2022/11/01 13:17:00 - mmengine - INFO - Epoch(train) [1][10/63] lr: 1.0000e-04 eta: 5 days, 23:39:40 time: 13.6856 data_time: 10.9425 memory: 27783 loss: 0.6853 loss_text: 0.4103 loss_kernel: 0.2750 2022/11/01 13:17:05 - mmengine - INFO - Epoch(train) [1][15/63] lr: 1.0000e-04 eta: 5 days, 23:39:40 time: 1.0006 data_time: 0.0250 memory: 27783 loss: 0.6498 loss_text: 0.3878 loss_kernel: 0.2619 2022/11/01 13:17:10 - mmengine - INFO - Epoch(train) [1][20/63] lr: 1.0000e-04 eta: 3 days, 5:04:46 time: 1.0040 data_time: 0.0190 memory: 27783 loss: 0.6241 loss_text: 0.3838 loss_kernel: 0.2403 2022/11/01 13:17:14 - mmengine - INFO - Epoch(train) [1][25/63] lr: 1.0000e-04 eta: 3 days, 5:04:46 time: 0.9571 data_time: 0.0265 memory: 27783 loss: 0.5584 loss_text: 0.3597 loss_kernel: 0.1986 2022/11/01 13:17:19 - mmengine - INFO - Epoch(train) [1][30/63] lr: 1.0000e-04 eta: 2 days, 6:41:15 time: 0.9478 data_time: 0.0196 memory: 27783 loss: 0.4724 loss_text: 0.3200 loss_kernel: 0.1524 2022/11/01 13:17:24 - mmengine - INFO - Epoch(train) [1][35/63] lr: 1.0000e-04 eta: 2 days, 6:41:15 time: 0.9601 data_time: 0.0239 memory: 27783 loss: 0.4122 loss_text: 0.2892 loss_kernel: 0.1230 2022/11/01 13:17:29 - mmengine - INFO - Epoch(train) [1][40/63] lr: 1.0000e-04 eta: 1 day, 19:35:14 time: 0.9849 data_time: 0.0231 memory: 27783 loss: 0.4077 loss_text: 0.2906 loss_kernel: 0.1172 2022/11/01 13:17:34 - mmengine - INFO - Epoch(train) [1][45/63] lr: 1.0000e-04 eta: 1 day, 19:35:14 time: 1.0226 data_time: 0.0174 memory: 27783 loss: 0.4166 loss_text: 0.2966 loss_kernel: 0.1200 2022/11/01 13:17:39 - mmengine - INFO - Epoch(train) [1][50/63] lr: 1.0000e-04 eta: 1 day, 12:56:02 time: 0.9886 data_time: 0.0252 memory: 27783 loss: 0.3844 loss_text: 0.2740 loss_kernel: 0.1104 2022/11/01 13:17:44 - mmengine - INFO - Epoch(train) [1][55/63] lr: 1.0000e-04 eta: 1 day, 12:56:02 time: 0.9974 data_time: 0.0183 memory: 27783 loss: 0.3711 loss_text: 0.2659 loss_kernel: 0.1052 2022/11/01 13:17:49 - mmengine - INFO - Epoch(train) [1][60/63] lr: 1.0000e-04 eta: 1 day, 8:29:03 time: 0.9810 data_time: 0.0167 memory: 27783 loss: 0.3873 loss_text: 0.2768 loss_kernel: 0.1105 2022/11/01 13:18:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:19:29 - mmengine - INFO - Epoch(train) [2][5/63] lr: 1.0000e-04 eta: 1 day, 8:29:03 time: 10.2187 data_time: 7.9941 memory: 46805 loss: 0.3901 loss_text: 0.2761 loss_kernel: 0.1141 2022/11/01 13:19:34 - mmengine - INFO - Epoch(train) [2][10/63] lr: 1.0000e-04 eta: 1 day, 15:36:45 time: 9.0015 data_time: 8.0070 memory: 27783 loss: 0.4332 loss_text: 0.3065 loss_kernel: 0.1267 2022/11/01 13:19:39 - mmengine - INFO - Epoch(train) [2][15/63] lr: 1.0000e-04 eta: 1 day, 15:36:45 time: 0.9816 data_time: 0.0254 memory: 27783 loss: 0.4257 loss_text: 0.3045 loss_kernel: 0.1212 2022/11/01 13:19:44 - mmengine - INFO - Epoch(train) [2][20/63] lr: 1.0000e-04 eta: 1 day, 12:01:45 time: 0.9496 data_time: 0.0209 memory: 27783 loss: 0.3938 loss_text: 0.2832 loss_kernel: 0.1106 2022/11/01 13:19:49 - mmengine - INFO - Epoch(train) [2][25/63] lr: 1.0000e-04 eta: 1 day, 12:01:45 time: 0.9859 data_time: 0.0310 memory: 27783 loss: 0.4056 loss_text: 0.2888 loss_kernel: 0.1168 2022/11/01 13:19:54 - mmengine - INFO - Epoch(train) [2][30/63] lr: 1.0000e-04 eta: 1 day, 9:15:31 time: 0.9873 data_time: 0.0242 memory: 27783 loss: 0.3954 loss_text: 0.2809 loss_kernel: 0.1146 2022/11/01 13:19:59 - mmengine - INFO - Epoch(train) [2][35/63] lr: 1.0000e-04 eta: 1 day, 9:15:31 time: 0.9436 data_time: 0.0180 memory: 27783 loss: 0.3548 loss_text: 0.2557 loss_kernel: 0.0991 2022/11/01 13:20:03 - mmengine - INFO - Epoch(train) [2][40/63] lr: 1.0000e-04 eta: 1 day, 7:00:30 time: 0.9704 data_time: 0.0195 memory: 27783 loss: 0.3373 loss_text: 0.2434 loss_kernel: 0.0938 2022/11/01 13:20:08 - mmengine - INFO - Epoch(train) [2][45/63] lr: 1.0000e-04 eta: 1 day, 7:00:30 time: 0.9733 data_time: 0.0312 memory: 27783 loss: 0.3330 loss_text: 0.2397 loss_kernel: 0.0932 2022/11/01 13:20:13 - mmengine - INFO - Epoch(train) [2][50/63] lr: 1.0000e-04 eta: 1 day, 5:10:42 time: 0.9950 data_time: 0.0347 memory: 27783 loss: 0.3306 loss_text: 0.2403 loss_kernel: 0.0904 2022/11/01 13:20:18 - mmengine - INFO - Epoch(train) [2][55/63] lr: 1.0000e-04 eta: 1 day, 5:10:42 time: 0.9848 data_time: 0.0170 memory: 27783 loss: 0.3527 loss_text: 0.2529 loss_kernel: 0.0998 2022/11/01 13:20:23 - mmengine - INFO - Epoch(train) [2][60/63] lr: 1.0000e-04 eta: 1 day, 3:35:03 time: 0.9229 data_time: 0.0134 memory: 27783 loss: 0.3491 loss_text: 0.2484 loss_kernel: 0.1007 2022/11/01 13:20:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:21:50 - mmengine - INFO - Epoch(train) [3][5/63] lr: 1.0000e-04 eta: 1 day, 3:35:03 time: 8.8922 data_time: 8.0241 memory: 27783 loss: 0.3298 loss_text: 0.2357 loss_kernel: 0.0941 2022/11/01 13:21:55 - mmengine - INFO - Epoch(train) [3][10/63] lr: 1.0000e-04 eta: 1 day, 7:49:28 time: 8.9507 data_time: 8.0389 memory: 27783 loss: 0.3602 loss_text: 0.2573 loss_kernel: 0.1029 2022/11/01 13:21:59 - mmengine - INFO - Epoch(train) [3][15/63] lr: 1.0000e-04 eta: 1 day, 7:49:28 time: 0.9121 data_time: 0.0218 memory: 27783 loss: 0.3868 loss_text: 0.2770 loss_kernel: 0.1099 2022/11/01 13:22:04 - mmengine - INFO - Epoch(train) [3][20/63] lr: 1.0000e-04 eta: 1 day, 6:19:12 time: 0.9534 data_time: 0.0179 memory: 27783 loss: 0.3718 loss_text: 0.2675 loss_kernel: 0.1042 2022/11/01 13:22:09 - mmengine - INFO - Epoch(train) [3][25/63] lr: 1.0000e-04 eta: 1 day, 6:19:12 time: 1.0000 data_time: 0.0292 memory: 27783 loss: 0.3479 loss_text: 0.2498 loss_kernel: 0.0981 2022/11/01 13:22:14 - mmengine - INFO - Epoch(train) [3][30/63] lr: 1.0000e-04 eta: 1 day, 5:00:39 time: 0.9578 data_time: 0.0201 memory: 27783 loss: 0.3836 loss_text: 0.2745 loss_kernel: 0.1091 2022/11/01 13:22:18 - mmengine - INFO - Epoch(train) [3][35/63] lr: 1.0000e-04 eta: 1 day, 5:00:39 time: 0.9404 data_time: 0.0216 memory: 27783 loss: 0.3696 loss_text: 0.2632 loss_kernel: 0.1065 2022/11/01 13:22:23 - mmengine - INFO - Epoch(train) [3][40/63] lr: 1.0000e-04 eta: 1 day, 3:52:05 time: 0.9719 data_time: 0.0207 memory: 27783 loss: 0.3582 loss_text: 0.2530 loss_kernel: 0.1052 2022/11/01 13:22:28 - mmengine - INFO - Epoch(train) [3][45/63] lr: 1.0000e-04 eta: 1 day, 3:52:05 time: 0.9842 data_time: 0.0208 memory: 27783 loss: 0.3613 loss_text: 0.2564 loss_kernel: 0.1049 2022/11/01 13:22:33 - mmengine - INFO - Epoch(train) [3][50/63] lr: 1.0000e-04 eta: 1 day, 2:51:06 time: 0.9667 data_time: 0.0294 memory: 27783 loss: 0.3149 loss_text: 0.2268 loss_kernel: 0.0881 2022/11/01 13:22:38 - mmengine - INFO - Epoch(train) [3][55/63] lr: 1.0000e-04 eta: 1 day, 2:51:06 time: 0.9342 data_time: 0.0159 memory: 27783 loss: 0.3102 loss_text: 0.2220 loss_kernel: 0.0882 2022/11/01 13:22:43 - mmengine - INFO - Epoch(train) [3][60/63] lr: 1.0000e-04 eta: 1 day, 1:56:29 time: 0.9618 data_time: 0.0151 memory: 27783 loss: 0.3267 loss_text: 0.2319 loss_kernel: 0.0948 2022/11/01 13:22:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:24:10 - mmengine - INFO - Epoch(train) [4][5/63] lr: 1.0000e-04 eta: 1 day, 1:56:29 time: 8.9305 data_time: 8.0126 memory: 27783 loss: 0.3523 loss_text: 0.2509 loss_kernel: 0.1014 2022/11/01 13:24:15 - mmengine - INFO - Epoch(train) [4][10/63] lr: 1.0000e-04 eta: 1 day, 4:57:39 time: 8.9977 data_time: 8.0289 memory: 27783 loss: 0.3657 loss_text: 0.2571 loss_kernel: 0.1086 2022/11/01 13:24:20 - mmengine - INFO - Epoch(train) [4][15/63] lr: 1.0000e-04 eta: 1 day, 4:57:39 time: 1.0018 data_time: 0.0289 memory: 27783 loss: 0.3335 loss_text: 0.2370 loss_kernel: 0.0964 2022/11/01 13:24:25 - mmengine - INFO - Epoch(train) [4][20/63] lr: 1.0000e-04 eta: 1 day, 4:03:16 time: 0.9737 data_time: 0.0263 memory: 27783 loss: 0.3363 loss_text: 0.2395 loss_kernel: 0.0968 2022/11/01 13:24:31 - mmengine - INFO - Epoch(train) [4][25/63] lr: 1.0000e-04 eta: 1 day, 4:03:16 time: 1.0672 data_time: 0.0277 memory: 27783 loss: 0.3679 loss_text: 0.2603 loss_kernel: 0.1076 2022/11/01 13:24:36 - mmengine - INFO - Epoch(train) [4][30/63] lr: 1.0000e-04 eta: 1 day, 3:17:06 time: 1.0881 data_time: 0.0160 memory: 27783 loss: 0.3520 loss_text: 0.2517 loss_kernel: 0.1003 2022/11/01 13:24:40 - mmengine - INFO - Epoch(train) [4][35/63] lr: 1.0000e-04 eta: 1 day, 3:17:06 time: 0.9721 data_time: 0.0216 memory: 27783 loss: 0.3516 loss_text: 0.2527 loss_kernel: 0.0989 2022/11/01 13:24:45 - mmengine - INFO - Epoch(train) [4][40/63] lr: 1.0000e-04 eta: 1 day, 2:31:17 time: 0.9543 data_time: 0.0204 memory: 27783 loss: 0.3482 loss_text: 0.2483 loss_kernel: 0.1000 2022/11/01 13:24:50 - mmengine - INFO - Epoch(train) [4][45/63] lr: 1.0000e-04 eta: 1 day, 2:31:17 time: 0.9655 data_time: 0.0189 memory: 27783 loss: 0.3205 loss_text: 0.2284 loss_kernel: 0.0921 2022/11/01 13:24:56 - mmengine - INFO - Epoch(train) [4][50/63] lr: 1.0000e-04 eta: 1 day, 1:51:34 time: 1.0413 data_time: 0.0334 memory: 27783 loss: 0.3213 loss_text: 0.2295 loss_kernel: 0.0918 2022/11/01 13:25:00 - mmengine - INFO - Epoch(train) [4][55/63] lr: 1.0000e-04 eta: 1 day, 1:51:34 time: 1.0244 data_time: 0.0275 memory: 27783 loss: 0.3177 loss_text: 0.2273 loss_kernel: 0.0904 2022/11/01 13:25:05 - mmengine - INFO - Epoch(train) [4][60/63] lr: 1.0000e-04 eta: 1 day, 1:12:11 time: 0.9280 data_time: 0.0200 memory: 27783 loss: 0.3413 loss_text: 0.2443 loss_kernel: 0.0971 2022/11/01 13:25:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:26:33 - mmengine - INFO - Epoch(train) [5][5/63] lr: 1.0000e-04 eta: 1 day, 1:12:11 time: 8.9773 data_time: 8.0495 memory: 27783 loss: 0.3442 loss_text: 0.2465 loss_kernel: 0.0977 2022/11/01 13:26:38 - mmengine - INFO - Epoch(train) [5][10/63] lr: 1.0000e-04 eta: 1 day, 3:31:39 time: 9.0030 data_time: 8.0604 memory: 27783 loss: 0.3056 loss_text: 0.2175 loss_kernel: 0.0881 2022/11/01 13:26:42 - mmengine - INFO - Epoch(train) [5][15/63] lr: 1.0000e-04 eta: 1 day, 3:31:39 time: 0.9061 data_time: 0.0228 memory: 27783 loss: 0.3224 loss_text: 0.2268 loss_kernel: 0.0957 2022/11/01 13:26:47 - mmengine - INFO - Epoch(train) [5][20/63] lr: 1.0000e-04 eta: 1 day, 2:52:51 time: 0.9718 data_time: 0.0196 memory: 27783 loss: 0.3398 loss_text: 0.2411 loss_kernel: 0.0987 2022/11/01 13:26:52 - mmengine - INFO - Epoch(train) [5][25/63] lr: 1.0000e-04 eta: 1 day, 2:52:51 time: 1.0322 data_time: 0.0314 memory: 27783 loss: 0.3268 loss_text: 0.2329 loss_kernel: 0.0939 2022/11/01 13:26:58 - mmengine - INFO - Epoch(train) [5][30/63] lr: 1.0000e-04 eta: 1 day, 2:18:48 time: 1.0628 data_time: 0.0196 memory: 27783 loss: 0.3516 loss_text: 0.2496 loss_kernel: 0.1021 2022/11/01 13:27:03 - mmengine - INFO - Epoch(train) [5][35/63] lr: 1.0000e-04 eta: 1 day, 2:18:48 time: 1.0839 data_time: 0.0205 memory: 27783 loss: 0.3362 loss_text: 0.2409 loss_kernel: 0.0953 2022/11/01 13:27:08 - mmengine - INFO - Epoch(train) [5][40/63] lr: 1.0000e-04 eta: 1 day, 1:45:57 time: 1.0100 data_time: 0.0237 memory: 27783 loss: 0.3002 loss_text: 0.2153 loss_kernel: 0.0849 2022/11/01 13:27:13 - mmengine - INFO - Epoch(train) [5][45/63] lr: 1.0000e-04 eta: 1 day, 1:45:57 time: 0.9744 data_time: 0.0192 memory: 27783 loss: 0.2861 loss_text: 0.2047 loss_kernel: 0.0814 2022/11/01 13:27:18 - mmengine - INFO - Epoch(train) [5][50/63] lr: 1.0000e-04 eta: 1 day, 1:14:22 time: 0.9671 data_time: 0.0270 memory: 27783 loss: 0.2940 loss_text: 0.2108 loss_kernel: 0.0833 2022/11/01 13:27:22 - mmengine - INFO - Epoch(train) [5][55/63] lr: 1.0000e-04 eta: 1 day, 1:14:22 time: 0.9387 data_time: 0.0197 memory: 27783 loss: 0.3132 loss_text: 0.2234 loss_kernel: 0.0898 2022/11/01 13:27:27 - mmengine - INFO - Epoch(train) [5][60/63] lr: 1.0000e-04 eta: 1 day, 0:45:01 time: 0.9778 data_time: 0.0163 memory: 27783 loss: 0.3480 loss_text: 0.2462 loss_kernel: 0.1018 2022/11/01 13:27:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:28:55 - mmengine - INFO - Epoch(train) [6][5/63] lr: 1.0000e-04 eta: 1 day, 0:45:01 time: 8.9265 data_time: 8.0241 memory: 27783 loss: 0.2783 loss_text: 0.1981 loss_kernel: 0.0802 2022/11/01 13:29:00 - mmengine - INFO - Epoch(train) [6][10/63] lr: 1.0000e-04 eta: 1 day, 2:37:55 time: 8.9912 data_time: 8.0396 memory: 27783 loss: 0.2709 loss_text: 0.1943 loss_kernel: 0.0766 2022/11/01 13:29:05 - mmengine - INFO - Epoch(train) [6][15/63] lr: 1.0000e-04 eta: 1 day, 2:37:55 time: 0.9687 data_time: 0.0256 memory: 27783 loss: 0.2810 loss_text: 0.1994 loss_kernel: 0.0817 2022/11/01 13:29:10 - mmengine - INFO - Epoch(train) [6][20/63] lr: 1.0000e-04 eta: 1 day, 2:07:48 time: 0.9655 data_time: 0.0290 memory: 27783 loss: 0.3318 loss_text: 0.2334 loss_kernel: 0.0984 2022/11/01 13:29:14 - mmengine - INFO - Epoch(train) [6][25/63] lr: 1.0000e-04 eta: 1 day, 2:07:48 time: 0.9604 data_time: 0.0372 memory: 27783 loss: 0.3015 loss_text: 0.2134 loss_kernel: 0.0881 2022/11/01 13:29:19 - mmengine - INFO - Epoch(train) [6][30/63] lr: 1.0000e-04 eta: 1 day, 1:39:17 time: 0.9577 data_time: 0.0164 memory: 27783 loss: 0.2699 loss_text: 0.1928 loss_kernel: 0.0772 2022/11/01 13:29:24 - mmengine - INFO - Epoch(train) [6][35/63] lr: 1.0000e-04 eta: 1 day, 1:39:17 time: 0.9744 data_time: 0.0202 memory: 27783 loss: 0.3073 loss_text: 0.2188 loss_kernel: 0.0885 2022/11/01 13:29:29 - mmengine - INFO - Epoch(train) [6][40/63] lr: 1.0000e-04 eta: 1 day, 1:12:28 time: 0.9636 data_time: 0.0206 memory: 27783 loss: 0.3144 loss_text: 0.2222 loss_kernel: 0.0922 2022/11/01 13:29:34 - mmengine - INFO - Epoch(train) [6][45/63] lr: 1.0000e-04 eta: 1 day, 1:12:28 time: 0.9411 data_time: 0.0282 memory: 27783 loss: 0.3501 loss_text: 0.2487 loss_kernel: 0.1014 2022/11/01 13:29:38 - mmengine - INFO - Epoch(train) [6][50/63] lr: 1.0000e-04 eta: 1 day, 0:46:52 time: 0.9497 data_time: 0.0392 memory: 27783 loss: 0.3446 loss_text: 0.2463 loss_kernel: 0.0982 2022/11/01 13:29:43 - mmengine - INFO - Epoch(train) [6][55/63] lr: 1.0000e-04 eta: 1 day, 0:46:52 time: 0.9315 data_time: 0.0177 memory: 27783 loss: 0.3138 loss_text: 0.2208 loss_kernel: 0.0930 2022/11/01 13:29:48 - mmengine - INFO - Epoch(train) [6][60/63] lr: 1.0000e-04 eta: 1 day, 0:22:14 time: 0.9260 data_time: 0.0147 memory: 27783 loss: 0.3044 loss_text: 0.2153 loss_kernel: 0.0890 2022/11/01 13:29:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:31:16 - mmengine - INFO - Epoch(train) [7][5/63] lr: 1.0000e-04 eta: 1 day, 0:22:14 time: 9.0234 data_time: 8.1236 memory: 27783 loss: 0.3307 loss_text: 0.2295 loss_kernel: 0.1012 2022/11/01 13:31:21 - mmengine - INFO - Epoch(train) [7][10/63] lr: 1.0000e-04 eta: 1 day, 1:59:12 time: 9.1135 data_time: 8.1426 memory: 27783 loss: 0.3275 loss_text: 0.2290 loss_kernel: 0.0985 2022/11/01 13:31:26 - mmengine - INFO - Epoch(train) [7][15/63] lr: 1.0000e-04 eta: 1 day, 1:59:12 time: 0.9445 data_time: 0.0244 memory: 27783 loss: 0.3356 loss_text: 0.2381 loss_kernel: 0.0976 2022/11/01 13:31:30 - mmengine - INFO - Epoch(train) [7][20/63] lr: 1.0000e-04 eta: 1 day, 1:34:28 time: 0.9478 data_time: 0.0217 memory: 27783 loss: 0.3051 loss_text: 0.2155 loss_kernel: 0.0896 2022/11/01 13:31:35 - mmengine - INFO - Epoch(train) [7][25/63] lr: 1.0000e-04 eta: 1 day, 1:34:28 time: 0.9835 data_time: 0.0305 memory: 27783 loss: 0.3193 loss_text: 0.2259 loss_kernel: 0.0934 2022/11/01 13:31:40 - mmengine - INFO - Epoch(train) [7][30/63] lr: 1.0000e-04 eta: 1 day, 1:10:45 time: 0.9360 data_time: 0.0162 memory: 27783 loss: 0.3397 loss_text: 0.2417 loss_kernel: 0.0980 2022/11/01 13:31:45 - mmengine - INFO - Epoch(train) [7][35/63] lr: 1.0000e-04 eta: 1 day, 1:10:45 time: 0.9260 data_time: 0.0200 memory: 27783 loss: 0.3073 loss_text: 0.2172 loss_kernel: 0.0901 2022/11/01 13:31:51 - mmengine - INFO - Epoch(train) [7][40/63] lr: 1.0000e-04 eta: 1 day, 0:50:13 time: 1.0730 data_time: 0.0193 memory: 27783 loss: 0.3207 loss_text: 0.2269 loss_kernel: 0.0938 2022/11/01 13:31:55 - mmengine - INFO - Epoch(train) [7][45/63] lr: 1.0000e-04 eta: 1 day, 0:50:13 time: 1.0608 data_time: 0.0170 memory: 27783 loss: 0.3105 loss_text: 0.2195 loss_kernel: 0.0909 2022/11/01 13:32:00 - mmengine - INFO - Epoch(train) [7][50/63] lr: 1.0000e-04 eta: 1 day, 0:29:14 time: 0.9781 data_time: 0.0309 memory: 27783 loss: 0.3034 loss_text: 0.2148 loss_kernel: 0.0886 2022/11/01 13:32:05 - mmengine - INFO - Epoch(train) [7][55/63] lr: 1.0000e-04 eta: 1 day, 0:29:14 time: 0.9662 data_time: 0.0207 memory: 27783 loss: 0.3172 loss_text: 0.2256 loss_kernel: 0.0916 2022/11/01 13:32:10 - mmengine - INFO - Epoch(train) [7][60/63] lr: 1.0000e-04 eta: 1 day, 0:08:21 time: 0.9172 data_time: 0.0145 memory: 27783 loss: 0.3029 loss_text: 0.2163 loss_kernel: 0.0866 2022/11/01 13:32:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:33:37 - mmengine - INFO - Epoch(train) [8][5/63] lr: 1.0000e-04 eta: 1 day, 0:08:21 time: 8.9130 data_time: 8.0163 memory: 27783 loss: 0.2810 loss_text: 0.1976 loss_kernel: 0.0834 2022/11/01 13:33:42 - mmengine - INFO - Epoch(train) [8][10/63] lr: 1.0000e-04 eta: 1 day, 1:30:04 time: 8.9803 data_time: 8.0289 memory: 27783 loss: 0.2868 loss_text: 0.1996 loss_kernel: 0.0871 2022/11/01 13:33:47 - mmengine - INFO - Epoch(train) [8][15/63] lr: 1.0000e-04 eta: 1 day, 1:30:04 time: 0.9732 data_time: 0.0193 memory: 27783 loss: 0.3228 loss_text: 0.2274 loss_kernel: 0.0954 2022/11/01 13:33:52 - mmengine - INFO - Epoch(train) [8][20/63] lr: 1.0000e-04 eta: 1 day, 1:09:33 time: 0.9686 data_time: 0.0210 memory: 27783 loss: 0.3265 loss_text: 0.2300 loss_kernel: 0.0965 2022/11/01 13:33:56 - mmengine - INFO - Epoch(train) [8][25/63] lr: 1.0000e-04 eta: 1 day, 1:09:33 time: 0.9459 data_time: 0.0314 memory: 27783 loss: 0.3324 loss_text: 0.2334 loss_kernel: 0.0989 2022/11/01 13:34:01 - mmengine - INFO - Epoch(train) [8][30/63] lr: 1.0000e-04 eta: 1 day, 0:49:09 time: 0.9124 data_time: 0.0217 memory: 27783 loss: 0.3585 loss_text: 0.2575 loss_kernel: 0.1010 2022/11/01 13:34:06 - mmengine - INFO - Epoch(train) [8][35/63] lr: 1.0000e-04 eta: 1 day, 0:49:09 time: 1.0009 data_time: 0.0222 memory: 27783 loss: 0.3416 loss_text: 0.2461 loss_kernel: 0.0955 2022/11/01 13:34:11 - mmengine - INFO - Epoch(train) [8][40/63] lr: 1.0000e-04 eta: 1 day, 0:31:05 time: 1.0265 data_time: 0.0223 memory: 27783 loss: 0.3015 loss_text: 0.2156 loss_kernel: 0.0859 2022/11/01 13:34:16 - mmengine - INFO - Epoch(train) [8][45/63] lr: 1.0000e-04 eta: 1 day, 0:31:05 time: 0.9497 data_time: 0.0198 memory: 27783 loss: 0.3077 loss_text: 0.2198 loss_kernel: 0.0879 2022/11/01 13:34:21 - mmengine - INFO - Epoch(train) [8][50/63] lr: 1.0000e-04 eta: 1 day, 0:12:51 time: 0.9577 data_time: 0.0311 memory: 27783 loss: 0.3020 loss_text: 0.2148 loss_kernel: 0.0872 2022/11/01 13:34:25 - mmengine - INFO - Epoch(train) [8][55/63] lr: 1.0000e-04 eta: 1 day, 0:12:51 time: 0.9380 data_time: 0.0217 memory: 27783 loss: 0.2827 loss_text: 0.2003 loss_kernel: 0.0825 2022/11/01 13:34:30 - mmengine - INFO - Epoch(train) [8][60/63] lr: 1.0000e-04 eta: 23:54:39 time: 0.9009 data_time: 0.0139 memory: 27783 loss: 0.3071 loss_text: 0.2150 loss_kernel: 0.0921 2022/11/01 13:34:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:36:14 - mmengine - INFO - Epoch(train) [9][5/63] lr: 1.0000e-04 eta: 23:54:39 time: 10.5956 data_time: 9.7580 memory: 27783 loss: 0.3419 loss_text: 0.2395 loss_kernel: 0.1024 2022/11/01 13:36:18 - mmengine - INFO - Epoch(train) [9][10/63] lr: 1.0000e-04 eta: 1 day, 1:26:43 time: 10.6562 data_time: 9.7670 memory: 27783 loss: 0.3110 loss_text: 0.2207 loss_kernel: 0.0904 2022/11/01 13:36:23 - mmengine - INFO - Epoch(train) [9][15/63] lr: 1.0000e-04 eta: 1 day, 1:26:43 time: 0.9591 data_time: 0.0219 memory: 27783 loss: 0.2824 loss_text: 0.2018 loss_kernel: 0.0806 2022/11/01 13:36:28 - mmengine - INFO - Epoch(train) [9][20/63] lr: 1.0000e-04 eta: 1 day, 1:08:46 time: 0.9774 data_time: 0.0242 memory: 27783 loss: 0.2968 loss_text: 0.2125 loss_kernel: 0.0843 2022/11/01 13:36:33 - mmengine - INFO - Epoch(train) [9][25/63] lr: 1.0000e-04 eta: 1 day, 1:08:46 time: 0.9798 data_time: 0.0272 memory: 27783 loss: 0.3020 loss_text: 0.2140 loss_kernel: 0.0880 2022/11/01 13:36:38 - mmengine - INFO - Epoch(train) [9][30/63] lr: 1.0000e-04 eta: 1 day, 0:51:33 time: 0.9833 data_time: 0.0229 memory: 27783 loss: 0.3046 loss_text: 0.2151 loss_kernel: 0.0895 2022/11/01 13:36:43 - mmengine - INFO - Epoch(train) [9][35/63] lr: 1.0000e-04 eta: 1 day, 0:51:33 time: 0.9445 data_time: 0.0206 memory: 27783 loss: 0.2879 loss_text: 0.2042 loss_kernel: 0.0838 2022/11/01 13:36:47 - mmengine - INFO - Epoch(train) [9][40/63] lr: 1.0000e-04 eta: 1 day, 0:34:17 time: 0.9236 data_time: 0.0192 memory: 27783 loss: 0.2951 loss_text: 0.2086 loss_kernel: 0.0866 2022/11/01 13:36:52 - mmengine - INFO - Epoch(train) [9][45/63] lr: 1.0000e-04 eta: 1 day, 0:34:17 time: 0.9244 data_time: 0.0244 memory: 27783 loss: 0.3377 loss_text: 0.2395 loss_kernel: 0.0981 2022/11/01 13:36:57 - mmengine - INFO - Epoch(train) [9][50/63] lr: 1.0000e-04 eta: 1 day, 0:17:40 time: 0.9267 data_time: 0.0256 memory: 27783 loss: 0.3110 loss_text: 0.2206 loss_kernel: 0.0903 2022/11/01 13:37:01 - mmengine - INFO - Epoch(train) [9][55/63] lr: 1.0000e-04 eta: 1 day, 0:17:40 time: 0.9585 data_time: 0.0198 memory: 27783 loss: 0.2873 loss_text: 0.2059 loss_kernel: 0.0813 2022/11/01 13:37:06 - mmengine - INFO - Epoch(train) [9][60/63] lr: 1.0000e-04 eta: 1 day, 0:02:19 time: 0.9888 data_time: 0.0204 memory: 27783 loss: 0.2938 loss_text: 0.2107 loss_kernel: 0.0831 2022/11/01 13:37:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:38:34 - mmengine - INFO - Epoch(train) [10][5/63] lr: 1.0000e-04 eta: 1 day, 0:02:19 time: 8.9732 data_time: 8.0131 memory: 27783 loss: 0.3114 loss_text: 0.2186 loss_kernel: 0.0927 2022/11/01 13:38:39 - mmengine - INFO - Epoch(train) [10][10/63] lr: 1.0000e-04 eta: 1 day, 1:06:24 time: 9.0282 data_time: 8.0325 memory: 27783 loss: 0.2598 loss_text: 0.1829 loss_kernel: 0.0769 2022/11/01 13:38:44 - mmengine - INFO - Epoch(train) [10][15/63] lr: 1.0000e-04 eta: 1 day, 1:06:24 time: 0.9523 data_time: 0.0294 memory: 27783 loss: 0.2754 loss_text: 0.1949 loss_kernel: 0.0805 2022/11/01 13:38:49 - mmengine - INFO - Epoch(train) [10][20/63] lr: 1.0000e-04 eta: 1 day, 0:50:34 time: 0.9679 data_time: 0.0236 memory: 27783 loss: 0.3007 loss_text: 0.2112 loss_kernel: 0.0895 2022/11/01 13:38:54 - mmengine - INFO - Epoch(train) [10][25/63] lr: 1.0000e-04 eta: 1 day, 0:50:34 time: 1.0058 data_time: 0.0337 memory: 27783 loss: 0.2782 loss_text: 0.1962 loss_kernel: 0.0820 2022/11/01 13:38:59 - mmengine - INFO - Epoch(train) [10][30/63] lr: 1.0000e-04 eta: 1 day, 0:35:10 time: 0.9584 data_time: 0.0182 memory: 27783 loss: 0.3045 loss_text: 0.2151 loss_kernel: 0.0894 2022/11/01 13:39:04 - mmengine - INFO - Epoch(train) [10][35/63] lr: 1.0000e-04 eta: 1 day, 0:35:10 time: 0.9744 data_time: 0.0181 memory: 27783 loss: 0.3010 loss_text: 0.2124 loss_kernel: 0.0887 2022/11/01 13:39:08 - mmengine - INFO - Epoch(train) [10][40/63] lr: 1.0000e-04 eta: 1 day, 0:20:37 time: 0.9946 data_time: 0.0195 memory: 27783 loss: 0.2933 loss_text: 0.2093 loss_kernel: 0.0840 2022/11/01 13:39:13 - mmengine - INFO - Epoch(train) [10][45/63] lr: 1.0000e-04 eta: 1 day, 0:20:37 time: 0.9584 data_time: 0.0172 memory: 27783 loss: 0.3007 loss_text: 0.2157 loss_kernel: 0.0850 2022/11/01 13:39:18 - mmengine - INFO - Epoch(train) [10][50/63] lr: 1.0000e-04 eta: 1 day, 0:05:58 time: 0.9354 data_time: 0.0242 memory: 27783 loss: 0.2784 loss_text: 0.1976 loss_kernel: 0.0808 2022/11/01 13:39:22 - mmengine - INFO - Epoch(train) [10][55/63] lr: 1.0000e-04 eta: 1 day, 0:05:58 time: 0.9248 data_time: 0.0158 memory: 27783 loss: 0.2820 loss_text: 0.1999 loss_kernel: 0.0822 2022/11/01 13:39:27 - mmengine - INFO - Epoch(train) [10][60/63] lr: 1.0000e-04 eta: 23:51:57 time: 0.9556 data_time: 0.0167 memory: 27783 loss: 0.2930 loss_text: 0.2074 loss_kernel: 0.0856 2022/11/01 13:39:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:40:55 - mmengine - INFO - Epoch(train) [11][5/63] lr: 1.0000e-04 eta: 23:51:57 time: 8.9899 data_time: 8.0597 memory: 27783 loss: 0.3039 loss_text: 0.2192 loss_kernel: 0.0847 2022/11/01 13:41:00 - mmengine - INFO - Epoch(train) [11][10/63] lr: 1.0000e-04 eta: 1 day, 0:49:34 time: 9.0099 data_time: 8.0758 memory: 27783 loss: 0.3051 loss_text: 0.2208 loss_kernel: 0.0843 2022/11/01 13:41:05 - mmengine - INFO - Epoch(train) [11][15/63] lr: 1.0000e-04 eta: 1 day, 0:49:34 time: 0.9349 data_time: 0.0218 memory: 27783 loss: 0.3297 loss_text: 0.2334 loss_kernel: 0.0963 2022/11/01 13:41:10 - mmengine - INFO - Epoch(train) [11][20/63] lr: 1.0000e-04 eta: 1 day, 0:35:14 time: 0.9418 data_time: 0.0189 memory: 27783 loss: 0.3191 loss_text: 0.2254 loss_kernel: 0.0937 2022/11/01 13:41:15 - mmengine - INFO - Epoch(train) [11][25/63] lr: 1.0000e-04 eta: 1 day, 0:35:14 time: 1.0087 data_time: 0.0281 memory: 27783 loss: 0.2888 loss_text: 0.2045 loss_kernel: 0.0843 2022/11/01 13:41:19 - mmengine - INFO - Epoch(train) [11][30/63] lr: 1.0000e-04 eta: 1 day, 0:21:46 time: 0.9896 data_time: 0.0210 memory: 27783 loss: 0.2811 loss_text: 0.1988 loss_kernel: 0.0823 2022/11/01 13:41:24 - mmengine - INFO - Epoch(train) [11][35/63] lr: 1.0000e-04 eta: 1 day, 0:21:46 time: 0.9201 data_time: 0.0224 memory: 27783 loss: 0.2830 loss_text: 0.1977 loss_kernel: 0.0852 2022/11/01 13:41:29 - mmengine - INFO - Epoch(train) [11][40/63] lr: 1.0000e-04 eta: 1 day, 0:07:58 time: 0.9102 data_time: 0.0176 memory: 27783 loss: 0.3224 loss_text: 0.2263 loss_kernel: 0.0961 2022/11/01 13:41:33 - mmengine - INFO - Epoch(train) [11][45/63] lr: 1.0000e-04 eta: 1 day, 0:07:58 time: 0.9321 data_time: 0.0200 memory: 27783 loss: 0.3574 loss_text: 0.2514 loss_kernel: 0.1059 2022/11/01 13:41:38 - mmengine - INFO - Epoch(train) [11][50/63] lr: 1.0000e-04 eta: 23:54:56 time: 0.9496 data_time: 0.0307 memory: 27783 loss: 0.3336 loss_text: 0.2346 loss_kernel: 0.0990 2022/11/01 13:41:43 - mmengine - INFO - Epoch(train) [11][55/63] lr: 1.0000e-04 eta: 23:54:56 time: 0.9807 data_time: 0.0180 memory: 27783 loss: 0.3360 loss_text: 0.2377 loss_kernel: 0.0983 2022/11/01 13:41:48 - mmengine - INFO - Epoch(train) [11][60/63] lr: 1.0000e-04 eta: 23:42:53 time: 1.0193 data_time: 0.0224 memory: 27783 loss: 0.3078 loss_text: 0.2172 loss_kernel: 0.0905 2022/11/01 13:41:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:43:16 - mmengine - INFO - Epoch(train) [12][5/63] lr: 1.0000e-04 eta: 23:42:53 time: 8.9155 data_time: 8.0369 memory: 27783 loss: 0.2522 loss_text: 0.1775 loss_kernel: 0.0747 2022/11/01 13:43:21 - mmengine - INFO - Epoch(train) [12][10/63] lr: 1.0000e-04 eta: 1 day, 0:35:14 time: 8.9989 data_time: 8.0544 memory: 27783 loss: 0.2802 loss_text: 0.1977 loss_kernel: 0.0826 2022/11/01 13:43:25 - mmengine - INFO - Epoch(train) [12][15/63] lr: 1.0000e-04 eta: 1 day, 0:35:14 time: 0.9570 data_time: 0.0243 memory: 27783 loss: 0.2836 loss_text: 0.2001 loss_kernel: 0.0835 2022/11/01 13:43:30 - mmengine - INFO - Epoch(train) [12][20/63] lr: 1.0000e-04 eta: 1 day, 0:22:30 time: 0.9635 data_time: 0.0243 memory: 27783 loss: 0.2778 loss_text: 0.1949 loss_kernel: 0.0829 2022/11/01 13:43:35 - mmengine - INFO - Epoch(train) [12][25/63] lr: 1.0000e-04 eta: 1 day, 0:22:30 time: 1.0155 data_time: 0.0289 memory: 27783 loss: 0.2974 loss_text: 0.2109 loss_kernel: 0.0865 2022/11/01 13:43:40 - mmengine - INFO - Epoch(train) [12][30/63] lr: 1.0000e-04 eta: 1 day, 0:10:18 time: 0.9847 data_time: 0.0180 memory: 27783 loss: 0.2781 loss_text: 0.1987 loss_kernel: 0.0793 2022/11/01 13:43:45 - mmengine - INFO - Epoch(train) [12][35/63] lr: 1.0000e-04 eta: 1 day, 0:10:18 time: 0.9531 data_time: 0.0238 memory: 27783 loss: 0.2665 loss_text: 0.1890 loss_kernel: 0.0775 2022/11/01 13:43:50 - mmengine - INFO - Epoch(train) [12][40/63] lr: 1.0000e-04 eta: 23:58:10 time: 0.9544 data_time: 0.0178 memory: 27783 loss: 0.3046 loss_text: 0.2132 loss_kernel: 0.0914 2022/11/01 13:43:55 - mmengine - INFO - Epoch(train) [12][45/63] lr: 1.0000e-04 eta: 23:58:10 time: 0.9620 data_time: 0.0181 memory: 27783 loss: 0.3037 loss_text: 0.2122 loss_kernel: 0.0916 2022/11/01 13:43:59 - mmengine - INFO - Epoch(train) [12][50/63] lr: 1.0000e-04 eta: 23:46:22 time: 0.9548 data_time: 0.0390 memory: 27783 loss: 0.2702 loss_text: 0.1904 loss_kernel: 0.0797 2022/11/01 13:44:04 - mmengine - INFO - Epoch(train) [12][55/63] lr: 1.0000e-04 eta: 23:46:22 time: 0.9539 data_time: 0.0288 memory: 27783 loss: 0.2454 loss_text: 0.1771 loss_kernel: 0.0684 2022/11/01 13:44:09 - mmengine - INFO - Epoch(train) [12][60/63] lr: 1.0000e-04 eta: 23:34:58 time: 0.9652 data_time: 0.0155 memory: 27783 loss: 0.3229 loss_text: 0.2321 loss_kernel: 0.0908 2022/11/01 13:44:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:45:37 - mmengine - INFO - Epoch(train) [13][5/63] lr: 1.0000e-04 eta: 23:34:58 time: 8.9566 data_time: 8.0510 memory: 27783 loss: 0.3367 loss_text: 0.2385 loss_kernel: 0.0982 2022/11/01 13:45:42 - mmengine - INFO - Epoch(train) [13][10/63] lr: 1.0000e-04 eta: 1 day, 0:23:01 time: 9.0047 data_time: 8.0748 memory: 27783 loss: 0.2889 loss_text: 0.2044 loss_kernel: 0.0846 2022/11/01 13:45:47 - mmengine - INFO - Epoch(train) [13][15/63] lr: 1.0000e-04 eta: 1 day, 0:23:01 time: 0.9777 data_time: 0.0506 memory: 27783 loss: 0.2568 loss_text: 0.1793 loss_kernel: 0.0774 2022/11/01 13:45:52 - mmengine - INFO - Epoch(train) [13][20/63] lr: 1.0000e-04 eta: 1 day, 0:11:42 time: 0.9955 data_time: 0.0542 memory: 27783 loss: 0.2524 loss_text: 0.1777 loss_kernel: 0.0747 2022/11/01 13:45:56 - mmengine - INFO - Epoch(train) [13][25/63] lr: 1.0000e-04 eta: 1 day, 0:11:42 time: 0.9938 data_time: 0.0479 memory: 27783 loss: 0.2894 loss_text: 0.2058 loss_kernel: 0.0836 2022/11/01 13:46:02 - mmengine - INFO - Epoch(train) [13][30/63] lr: 1.0000e-04 eta: 1 day, 0:00:47 time: 1.0119 data_time: 0.0252 memory: 27783 loss: 0.3202 loss_text: 0.2284 loss_kernel: 0.0918 2022/11/01 13:46:07 - mmengine - INFO - Epoch(train) [13][35/63] lr: 1.0000e-04 eta: 1 day, 0:00:47 time: 1.0434 data_time: 0.0180 memory: 27783 loss: 0.2999 loss_text: 0.2135 loss_kernel: 0.0863 2022/11/01 13:46:12 - mmengine - INFO - Epoch(train) [13][40/63] lr: 1.0000e-04 eta: 23:50:08 time: 1.0116 data_time: 0.0194 memory: 27783 loss: 0.2783 loss_text: 0.1973 loss_kernel: 0.0810 2022/11/01 13:46:17 - mmengine - INFO - Epoch(train) [13][45/63] lr: 1.0000e-04 eta: 23:50:08 time: 0.9809 data_time: 0.0260 memory: 27783 loss: 0.2840 loss_text: 0.2008 loss_kernel: 0.0831 2022/11/01 13:46:21 - mmengine - INFO - Epoch(train) [13][50/63] lr: 1.0000e-04 eta: 23:39:22 time: 0.9629 data_time: 0.0276 memory: 27783 loss: 0.2975 loss_text: 0.2090 loss_kernel: 0.0886 2022/11/01 13:46:26 - mmengine - INFO - Epoch(train) [13][55/63] lr: 1.0000e-04 eta: 23:39:22 time: 0.9546 data_time: 0.0184 memory: 27783 loss: 0.3039 loss_text: 0.2124 loss_kernel: 0.0915 2022/11/01 13:46:31 - mmengine - INFO - Epoch(train) [13][60/63] lr: 1.0000e-04 eta: 23:29:03 time: 0.9865 data_time: 0.0162 memory: 27783 loss: 0.3090 loss_text: 0.2155 loss_kernel: 0.0934 2022/11/01 13:46:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:47:59 - mmengine - INFO - Epoch(train) [14][5/63] lr: 1.0000e-04 eta: 23:29:03 time: 8.9400 data_time: 8.0264 memory: 27783 loss: 0.3280 loss_text: 0.2326 loss_kernel: 0.0954 2022/11/01 13:48:04 - mmengine - INFO - Epoch(train) [14][10/63] lr: 1.0000e-04 eta: 1 day, 0:13:24 time: 9.0060 data_time: 8.0505 memory: 27783 loss: 0.2952 loss_text: 0.2113 loss_kernel: 0.0839 2022/11/01 13:48:08 - mmengine - INFO - Epoch(train) [14][15/63] lr: 1.0000e-04 eta: 1 day, 0:13:24 time: 0.9526 data_time: 0.0322 memory: 27783 loss: 0.2905 loss_text: 0.2061 loss_kernel: 0.0844 2022/11/01 13:48:13 - mmengine - INFO - Epoch(train) [14][20/63] lr: 1.0000e-04 eta: 1 day, 0:02:42 time: 0.9535 data_time: 0.0187 memory: 27783 loss: 0.3079 loss_text: 0.2176 loss_kernel: 0.0904 2022/11/01 13:48:19 - mmengine - INFO - Epoch(train) [14][25/63] lr: 1.0000e-04 eta: 1 day, 0:02:42 time: 1.0518 data_time: 0.0370 memory: 27783 loss: 0.3071 loss_text: 0.2165 loss_kernel: 0.0906 2022/11/01 13:48:24 - mmengine - INFO - Epoch(train) [14][30/63] lr: 1.0000e-04 eta: 23:53:18 time: 1.1003 data_time: 0.0247 memory: 27783 loss: 0.2887 loss_text: 0.2029 loss_kernel: 0.0859 2022/11/01 13:48:29 - mmengine - INFO - Epoch(train) [14][35/63] lr: 1.0000e-04 eta: 23:53:18 time: 1.0690 data_time: 0.0174 memory: 27783 loss: 0.2775 loss_text: 0.1961 loss_kernel: 0.0814 2022/11/01 13:48:34 - mmengine - INFO - Epoch(train) [14][40/63] lr: 1.0000e-04 eta: 23:43:25 time: 1.0021 data_time: 0.0199 memory: 27783 loss: 0.2731 loss_text: 0.1930 loss_kernel: 0.0801 2022/11/01 13:48:39 - mmengine - INFO - Epoch(train) [14][45/63] lr: 1.0000e-04 eta: 23:43:25 time: 0.9493 data_time: 0.0177 memory: 27783 loss: 0.2921 loss_text: 0.2052 loss_kernel: 0.0869 2022/11/01 13:48:44 - mmengine - INFO - Epoch(train) [14][50/63] lr: 1.0000e-04 eta: 23:33:19 time: 0.9409 data_time: 0.0276 memory: 27783 loss: 0.3067 loss_text: 0.2160 loss_kernel: 0.0908 2022/11/01 13:48:49 - mmengine - INFO - Epoch(train) [14][55/63] lr: 1.0000e-04 eta: 23:33:19 time: 0.9576 data_time: 0.0194 memory: 27783 loss: 0.2832 loss_text: 0.2002 loss_kernel: 0.0830 2022/11/01 13:48:53 - mmengine - INFO - Epoch(train) [14][60/63] lr: 1.0000e-04 eta: 23:23:35 time: 0.9599 data_time: 0.0146 memory: 27783 loss: 0.2848 loss_text: 0.2001 loss_kernel: 0.0847 2022/11/01 13:48:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:50:22 - mmengine - INFO - Epoch(train) [15][5/63] lr: 1.0000e-04 eta: 23:23:35 time: 9.0510 data_time: 8.1052 memory: 27783 loss: 0.2826 loss_text: 0.2002 loss_kernel: 0.0824 2022/11/01 13:50:27 - mmengine - INFO - Epoch(train) [15][10/63] lr: 1.0000e-04 eta: 1 day, 0:05:31 time: 9.1172 data_time: 8.1175 memory: 27783 loss: 0.2709 loss_text: 0.1925 loss_kernel: 0.0784 2022/11/01 13:50:32 - mmengine - INFO - Epoch(train) [15][15/63] lr: 1.0000e-04 eta: 1 day, 0:05:31 time: 0.9692 data_time: 0.0226 memory: 27783 loss: 0.2913 loss_text: 0.2056 loss_kernel: 0.0858 2022/11/01 13:50:37 - mmengine - INFO - Epoch(train) [15][20/63] lr: 1.0000e-04 eta: 23:55:36 time: 0.9532 data_time: 0.0201 memory: 27783 loss: 0.2872 loss_text: 0.2001 loss_kernel: 0.0871 2022/11/01 13:50:42 - mmengine - INFO - Epoch(train) [15][25/63] lr: 1.0000e-04 eta: 23:55:36 time: 0.9819 data_time: 0.0376 memory: 27783 loss: 0.2840 loss_text: 0.1998 loss_kernel: 0.0841 2022/11/01 13:50:47 - mmengine - INFO - Epoch(train) [15][30/63] lr: 1.0000e-04 eta: 23:46:12 time: 0.9995 data_time: 0.0328 memory: 27783 loss: 0.2839 loss_text: 0.2018 loss_kernel: 0.0821 2022/11/01 13:50:52 - mmengine - INFO - Epoch(train) [15][35/63] lr: 1.0000e-04 eta: 23:46:12 time: 0.9872 data_time: 0.0172 memory: 27783 loss: 0.2682 loss_text: 0.1880 loss_kernel: 0.0802 2022/11/01 13:50:57 - mmengine - INFO - Epoch(train) [15][40/63] lr: 1.0000e-04 eta: 23:37:01 time: 0.9986 data_time: 0.0182 memory: 27783 loss: 0.2654 loss_text: 0.1849 loss_kernel: 0.0805 2022/11/01 13:51:01 - mmengine - INFO - Epoch(train) [15][45/63] lr: 1.0000e-04 eta: 23:37:01 time: 0.9949 data_time: 0.0186 memory: 27783 loss: 0.3262 loss_text: 0.2298 loss_kernel: 0.0964 2022/11/01 13:51:06 - mmengine - INFO - Epoch(train) [15][50/63] lr: 1.0000e-04 eta: 23:27:54 time: 0.9815 data_time: 0.0260 memory: 27783 loss: 0.3014 loss_text: 0.2145 loss_kernel: 0.0869 2022/11/01 13:51:11 - mmengine - INFO - Epoch(train) [15][55/63] lr: 1.0000e-04 eta: 23:27:54 time: 0.9601 data_time: 0.0232 memory: 27783 loss: 0.2456 loss_text: 0.1751 loss_kernel: 0.0705 2022/11/01 13:51:16 - mmengine - INFO - Epoch(train) [15][60/63] lr: 1.0000e-04 eta: 23:18:37 time: 0.9258 data_time: 0.0176 memory: 27783 loss: 0.2885 loss_text: 0.2047 loss_kernel: 0.0838 2022/11/01 13:51:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:52:44 - mmengine - INFO - Epoch(train) [16][5/63] lr: 1.0000e-04 eta: 23:18:37 time: 8.9754 data_time: 8.0522 memory: 27783 loss: 0.3411 loss_text: 0.2415 loss_kernel: 0.0996 2022/11/01 13:52:49 - mmengine - INFO - Epoch(train) [16][10/63] lr: 1.0000e-04 eta: 23:57:18 time: 9.0521 data_time: 8.0655 memory: 27783 loss: 0.2789 loss_text: 0.1973 loss_kernel: 0.0816 2022/11/01 13:52:54 - mmengine - INFO - Epoch(train) [16][15/63] lr: 1.0000e-04 eta: 23:57:18 time: 0.9829 data_time: 0.0258 memory: 27783 loss: 0.2463 loss_text: 0.1732 loss_kernel: 0.0730 2022/11/01 13:52:58 - mmengine - INFO - Epoch(train) [16][20/63] lr: 1.0000e-04 eta: 23:48:15 time: 0.9809 data_time: 0.0202 memory: 27783 loss: 0.3025 loss_text: 0.2111 loss_kernel: 0.0914 2022/11/01 13:53:03 - mmengine - INFO - Epoch(train) [16][25/63] lr: 1.0000e-04 eta: 23:48:15 time: 0.9471 data_time: 0.0207 memory: 27783 loss: 0.3207 loss_text: 0.2254 loss_kernel: 0.0953 2022/11/01 13:53:08 - mmengine - INFO - Epoch(train) [16][30/63] lr: 1.0000e-04 eta: 23:39:10 time: 0.9439 data_time: 0.0163 memory: 27783 loss: 0.2815 loss_text: 0.1994 loss_kernel: 0.0820 2022/11/01 13:53:13 - mmengine - INFO - Epoch(train) [16][35/63] lr: 1.0000e-04 eta: 23:39:10 time: 1.0212 data_time: 0.0257 memory: 27783 loss: 0.2830 loss_text: 0.1983 loss_kernel: 0.0847 2022/11/01 13:53:18 - mmengine - INFO - Epoch(train) [16][40/63] lr: 1.0000e-04 eta: 23:30:44 time: 1.0201 data_time: 0.0236 memory: 27783 loss: 0.2587 loss_text: 0.1812 loss_kernel: 0.0775 2022/11/01 13:53:23 - mmengine - INFO - Epoch(train) [16][45/63] lr: 1.0000e-04 eta: 23:30:44 time: 0.9541 data_time: 0.0202 memory: 27783 loss: 0.2275 loss_text: 0.1610 loss_kernel: 0.0665 2022/11/01 13:53:27 - mmengine - INFO - Epoch(train) [16][50/63] lr: 1.0000e-04 eta: 23:21:54 time: 0.9296 data_time: 0.0302 memory: 27783 loss: 0.2782 loss_text: 0.1966 loss_kernel: 0.0816 2022/11/01 13:53:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:53:32 - mmengine - INFO - Epoch(train) [16][55/63] lr: 1.0000e-04 eta: 23:21:54 time: 0.9272 data_time: 0.0217 memory: 27783 loss: 0.3097 loss_text: 0.2200 loss_kernel: 0.0897 2022/11/01 13:53:37 - mmengine - INFO - Epoch(train) [16][60/63] lr: 1.0000e-04 eta: 23:13:31 time: 0.9729 data_time: 0.0158 memory: 27783 loss: 0.2908 loss_text: 0.2071 loss_kernel: 0.0837 2022/11/01 13:53:40 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:55:05 - mmengine - INFO - Epoch(train) [17][5/63] lr: 1.0000e-04 eta: 23:13:31 time: 9.0051 data_time: 8.0485 memory: 27783 loss: 0.2810 loss_text: 0.1991 loss_kernel: 0.0818 2022/11/01 13:55:10 - mmengine - INFO - Epoch(train) [17][10/63] lr: 1.0000e-04 eta: 23:49:41 time: 9.0424 data_time: 8.0587 memory: 27783 loss: 0.2858 loss_text: 0.2018 loss_kernel: 0.0840 2022/11/01 13:55:15 - mmengine - INFO - Epoch(train) [17][15/63] lr: 1.0000e-04 eta: 23:49:41 time: 0.9806 data_time: 0.0234 memory: 27783 loss: 0.3023 loss_text: 0.2128 loss_kernel: 0.0895 2022/11/01 13:55:20 - mmengine - INFO - Epoch(train) [17][20/63] lr: 1.0000e-04 eta: 23:41:11 time: 0.9713 data_time: 0.0230 memory: 27783 loss: 0.3049 loss_text: 0.2140 loss_kernel: 0.0908 2022/11/01 13:55:25 - mmengine - INFO - Epoch(train) [17][25/63] lr: 1.0000e-04 eta: 23:41:11 time: 0.9815 data_time: 0.0374 memory: 27783 loss: 0.2810 loss_text: 0.1985 loss_kernel: 0.0825 2022/11/01 13:55:30 - mmengine - INFO - Epoch(train) [17][30/63] lr: 1.0000e-04 eta: 23:32:52 time: 0.9746 data_time: 0.0254 memory: 27783 loss: 0.2913 loss_text: 0.2066 loss_kernel: 0.0847 2022/11/01 13:55:35 - mmengine - INFO - Epoch(train) [17][35/63] lr: 1.0000e-04 eta: 23:32:52 time: 0.9592 data_time: 0.0148 memory: 27783 loss: 0.3100 loss_text: 0.2201 loss_kernel: 0.0899 2022/11/01 13:55:39 - mmengine - INFO - Epoch(train) [17][40/63] lr: 1.0000e-04 eta: 23:24:35 time: 0.9566 data_time: 0.0166 memory: 27783 loss: 0.2910 loss_text: 0.2044 loss_kernel: 0.0866 2022/11/01 13:55:44 - mmengine - INFO - Epoch(train) [17][45/63] lr: 1.0000e-04 eta: 23:24:35 time: 0.9466 data_time: 0.0227 memory: 27783 loss: 0.2712 loss_text: 0.1925 loss_kernel: 0.0787 2022/11/01 13:55:49 - mmengine - INFO - Epoch(train) [17][50/63] lr: 1.0000e-04 eta: 23:16:28 time: 0.9567 data_time: 0.0346 memory: 27783 loss: 0.2761 loss_text: 0.1993 loss_kernel: 0.0768 2022/11/01 13:55:53 - mmengine - INFO - Epoch(train) [17][55/63] lr: 1.0000e-04 eta: 23:16:28 time: 0.9352 data_time: 0.0208 memory: 27783 loss: 0.3088 loss_text: 0.2198 loss_kernel: 0.0890 2022/11/01 13:55:58 - mmengine - INFO - Epoch(train) [17][60/63] lr: 1.0000e-04 eta: 23:08:11 time: 0.9019 data_time: 0.0155 memory: 27783 loss: 0.3269 loss_text: 0.2310 loss_kernel: 0.0959 2022/11/01 13:56:00 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:57:26 - mmengine - INFO - Epoch(train) [18][5/63] lr: 1.0000e-04 eta: 23:08:11 time: 8.9618 data_time: 8.0357 memory: 27783 loss: 0.2701 loss_text: 0.1898 loss_kernel: 0.0803 2022/11/01 13:57:32 - mmengine - INFO - Epoch(train) [18][10/63] lr: 1.0000e-04 eta: 23:42:43 time: 9.1324 data_time: 8.0503 memory: 27783 loss: 0.2838 loss_text: 0.2010 loss_kernel: 0.0828 2022/11/01 13:57:36 - mmengine - INFO - Epoch(train) [18][15/63] lr: 1.0000e-04 eta: 23:42:43 time: 1.0263 data_time: 0.0201 memory: 27783 loss: 0.2869 loss_text: 0.2045 loss_kernel: 0.0824 2022/11/01 13:57:41 - mmengine - INFO - Epoch(train) [18][20/63] lr: 1.0000e-04 eta: 23:34:25 time: 0.9146 data_time: 0.0202 memory: 27783 loss: 0.2798 loss_text: 0.1966 loss_kernel: 0.0832 2022/11/01 13:57:46 - mmengine - INFO - Epoch(train) [18][25/63] lr: 1.0000e-04 eta: 23:34:25 time: 0.9393 data_time: 0.0291 memory: 27783 loss: 0.2939 loss_text: 0.2063 loss_kernel: 0.0876 2022/11/01 13:57:50 - mmengine - INFO - Epoch(train) [18][30/63] lr: 1.0000e-04 eta: 23:26:22 time: 0.9319 data_time: 0.0159 memory: 27783 loss: 0.2964 loss_text: 0.2090 loss_kernel: 0.0875 2022/11/01 13:57:55 - mmengine - INFO - Epoch(train) [18][35/63] lr: 1.0000e-04 eta: 23:26:22 time: 0.9345 data_time: 0.0199 memory: 27783 loss: 0.2737 loss_text: 0.1914 loss_kernel: 0.0823 2022/11/01 13:57:59 - mmengine - INFO - Epoch(train) [18][40/63] lr: 1.0000e-04 eta: 23:18:23 time: 0.9200 data_time: 0.0210 memory: 27783 loss: 0.2852 loss_text: 0.2015 loss_kernel: 0.0837 2022/11/01 13:58:05 - mmengine - INFO - Epoch(train) [18][45/63] lr: 1.0000e-04 eta: 23:18:23 time: 0.9645 data_time: 0.0243 memory: 27783 loss: 0.2950 loss_text: 0.2103 loss_kernel: 0.0847 2022/11/01 13:58:09 - mmengine - INFO - Epoch(train) [18][50/63] lr: 1.0000e-04 eta: 23:10:56 time: 0.9887 data_time: 0.0369 memory: 27783 loss: 0.2909 loss_text: 0.2054 loss_kernel: 0.0855 2022/11/01 13:58:14 - mmengine - INFO - Epoch(train) [18][55/63] lr: 1.0000e-04 eta: 23:10:56 time: 0.9255 data_time: 0.0207 memory: 27783 loss: 0.3141 loss_text: 0.2194 loss_kernel: 0.0946 2022/11/01 13:58:18 - mmengine - INFO - Epoch(train) [18][60/63] lr: 1.0000e-04 eta: 23:03:09 time: 0.9056 data_time: 0.0133 memory: 27783 loss: 0.3646 loss_text: 0.2551 loss_kernel: 0.1095 2022/11/01 13:58:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 13:59:47 - mmengine - INFO - Epoch(train) [19][5/63] lr: 1.0000e-04 eta: 23:03:09 time: 8.9854 data_time: 8.0076 memory: 27783 loss: 0.2911 loss_text: 0.2037 loss_kernel: 0.0874 2022/11/01 13:59:51 - mmengine - INFO - Epoch(train) [19][10/63] lr: 1.0000e-04 eta: 23:35:21 time: 9.0640 data_time: 8.0118 memory: 27783 loss: 0.2966 loss_text: 0.2070 loss_kernel: 0.0896 2022/11/01 13:59:56 - mmengine - INFO - Epoch(train) [19][15/63] lr: 1.0000e-04 eta: 23:35:21 time: 0.9555 data_time: 0.0170 memory: 27783 loss: 0.2867 loss_text: 0.2002 loss_kernel: 0.0865 2022/11/01 14:00:01 - mmengine - INFO - Epoch(train) [19][20/63] lr: 1.0000e-04 eta: 23:27:57 time: 0.9920 data_time: 0.0235 memory: 27783 loss: 0.2817 loss_text: 0.1980 loss_kernel: 0.0837 2022/11/01 14:00:06 - mmengine - INFO - Epoch(train) [19][25/63] lr: 1.0000e-04 eta: 23:27:57 time: 1.0174 data_time: 0.0267 memory: 27783 loss: 0.2691 loss_text: 0.1890 loss_kernel: 0.0802 2022/11/01 14:00:11 - mmengine - INFO - Epoch(train) [19][30/63] lr: 1.0000e-04 eta: 23:20:30 time: 0.9573 data_time: 0.0218 memory: 27783 loss: 0.2971 loss_text: 0.2078 loss_kernel: 0.0893 2022/11/01 14:00:16 - mmengine - INFO - Epoch(train) [19][35/63] lr: 1.0000e-04 eta: 23:20:30 time: 0.9575 data_time: 0.0183 memory: 27783 loss: 0.2964 loss_text: 0.2087 loss_kernel: 0.0877 2022/11/01 14:00:20 - mmengine - INFO - Epoch(train) [19][40/63] lr: 1.0000e-04 eta: 23:13:08 time: 0.9508 data_time: 0.0165 memory: 27783 loss: 0.2749 loss_text: 0.1949 loss_kernel: 0.0801 2022/11/01 14:00:25 - mmengine - INFO - Epoch(train) [19][45/63] lr: 1.0000e-04 eta: 23:13:08 time: 0.9541 data_time: 0.0214 memory: 27783 loss: 0.2929 loss_text: 0.2092 loss_kernel: 0.0837 2022/11/01 14:00:30 - mmengine - INFO - Epoch(train) [19][50/63] lr: 1.0000e-04 eta: 23:06:01 time: 0.9766 data_time: 0.0219 memory: 27783 loss: 0.3023 loss_text: 0.2169 loss_kernel: 0.0853 2022/11/01 14:00:35 - mmengine - INFO - Epoch(train) [19][55/63] lr: 1.0000e-04 eta: 23:06:01 time: 0.9553 data_time: 0.0172 memory: 27783 loss: 0.2980 loss_text: 0.2128 loss_kernel: 0.0852 2022/11/01 14:00:39 - mmengine - INFO - Epoch(train) [19][60/63] lr: 1.0000e-04 eta: 22:58:44 time: 0.9191 data_time: 0.0174 memory: 27783 loss: 0.2759 loss_text: 0.1978 loss_kernel: 0.0781 2022/11/01 14:00:42 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:02:06 - mmengine - INFO - Epoch(train) [20][5/63] lr: 1.0000e-04 eta: 22:58:44 time: 8.8346 data_time: 8.0030 memory: 27783 loss: 0.2827 loss_text: 0.2003 loss_kernel: 0.0825 2022/11/01 14:02:12 - mmengine - INFO - Epoch(train) [20][10/63] lr: 1.0000e-04 eta: 23:28:50 time: 8.9905 data_time: 8.0169 memory: 27783 loss: 0.2782 loss_text: 0.1950 loss_kernel: 0.0832 2022/11/01 14:02:16 - mmengine - INFO - Epoch(train) [20][15/63] lr: 1.0000e-04 eta: 23:28:50 time: 1.0109 data_time: 0.0281 memory: 27783 loss: 0.2490 loss_text: 0.1750 loss_kernel: 0.0741 2022/11/01 14:02:22 - mmengine - INFO - Epoch(train) [20][20/63] lr: 1.0000e-04 eta: 23:21:53 time: 1.0007 data_time: 0.0248 memory: 27783 loss: 0.2438 loss_text: 0.1726 loss_kernel: 0.0712 2022/11/01 14:02:27 - mmengine - INFO - Epoch(train) [20][25/63] lr: 1.0000e-04 eta: 23:21:53 time: 1.0454 data_time: 0.0314 memory: 27783 loss: 0.2483 loss_text: 0.1754 loss_kernel: 0.0729 2022/11/01 14:02:32 - mmengine - INFO - Epoch(train) [20][30/63] lr: 1.0000e-04 eta: 23:15:01 time: 0.9928 data_time: 0.0184 memory: 27783 loss: 0.2593 loss_text: 0.1816 loss_kernel: 0.0776 2022/11/01 14:02:36 - mmengine - INFO - Epoch(train) [20][35/63] lr: 1.0000e-04 eta: 23:15:01 time: 0.9726 data_time: 0.0185 memory: 27783 loss: 0.2898 loss_text: 0.2026 loss_kernel: 0.0872 2022/11/01 14:02:41 - mmengine - INFO - Epoch(train) [20][40/63] lr: 1.0000e-04 eta: 23:08:14 time: 0.9899 data_time: 0.0186 memory: 27783 loss: 0.3037 loss_text: 0.2136 loss_kernel: 0.0901 2022/11/01 14:02:46 - mmengine - INFO - Epoch(train) [20][45/63] lr: 1.0000e-04 eta: 23:08:14 time: 0.9533 data_time: 0.0171 memory: 27783 loss: 0.3208 loss_text: 0.2276 loss_kernel: 0.0932 2022/11/01 14:02:51 - mmengine - INFO - Epoch(train) [20][50/63] lr: 1.0000e-04 eta: 23:01:26 time: 0.9643 data_time: 0.0255 memory: 27783 loss: 0.3170 loss_text: 0.2240 loss_kernel: 0.0930 2022/11/01 14:02:56 - mmengine - INFO - Epoch(train) [20][55/63] lr: 1.0000e-04 eta: 23:01:26 time: 0.9830 data_time: 0.0169 memory: 27783 loss: 0.3197 loss_text: 0.2237 loss_kernel: 0.0959 2022/11/01 14:03:01 - mmengine - INFO - Epoch(train) [20][60/63] lr: 1.0000e-04 eta: 22:54:47 time: 0.9737 data_time: 0.0171 memory: 27783 loss: 0.2989 loss_text: 0.2102 loss_kernel: 0.0887 2022/11/01 14:03:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:03:03 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/11/01 14:04:34 - mmengine - INFO - Epoch(train) [21][5/63] lr: 1.0000e-04 eta: 22:54:47 time: 8.9846 data_time: 8.0384 memory: 27783 loss: 0.2591 loss_text: 0.1842 loss_kernel: 0.0749 2022/11/01 14:04:39 - mmengine - INFO - Epoch(train) [21][10/63] lr: 1.0000e-04 eta: 23:23:31 time: 9.0294 data_time: 8.0541 memory: 27783 loss: 0.2835 loss_text: 0.1995 loss_kernel: 0.0840 2022/11/01 14:04:44 - mmengine - INFO - Epoch(train) [21][15/63] lr: 1.0000e-04 eta: 23:23:31 time: 0.9865 data_time: 0.0231 memory: 27783 loss: 0.2972 loss_text: 0.2092 loss_kernel: 0.0881 2022/11/01 14:04:48 - mmengine - INFO - Epoch(train) [21][20/63] lr: 1.0000e-04 eta: 23:16:41 time: 0.9490 data_time: 0.0168 memory: 27783 loss: 0.2806 loss_text: 0.1996 loss_kernel: 0.0810 2022/11/01 14:04:53 - mmengine - INFO - Epoch(train) [21][25/63] lr: 1.0000e-04 eta: 23:16:41 time: 0.9511 data_time: 0.0281 memory: 27783 loss: 0.2631 loss_text: 0.1854 loss_kernel: 0.0776 2022/11/01 14:04:58 - mmengine - INFO - Epoch(train) [21][30/63] lr: 1.0000e-04 eta: 23:10:01 time: 0.9614 data_time: 0.0203 memory: 27783 loss: 0.2919 loss_text: 0.2050 loss_kernel: 0.0869 2022/11/01 14:05:03 - mmengine - INFO - Epoch(train) [21][35/63] lr: 1.0000e-04 eta: 23:10:01 time: 0.9417 data_time: 0.0213 memory: 27783 loss: 0.3312 loss_text: 0.2338 loss_kernel: 0.0975 2022/11/01 14:05:07 - mmengine - INFO - Epoch(train) [21][40/63] lr: 1.0000e-04 eta: 23:03:22 time: 0.9442 data_time: 0.0190 memory: 27783 loss: 0.2918 loss_text: 0.2052 loss_kernel: 0.0867 2022/11/01 14:05:12 - mmengine - INFO - Epoch(train) [21][45/63] lr: 1.0000e-04 eta: 23:03:22 time: 0.9595 data_time: 0.0253 memory: 27783 loss: 0.2819 loss_text: 0.1998 loss_kernel: 0.0821 2022/11/01 14:05:18 - mmengine - INFO - Epoch(train) [21][50/63] lr: 1.0000e-04 eta: 22:57:15 time: 1.0396 data_time: 0.0381 memory: 27783 loss: 0.2752 loss_text: 0.1965 loss_kernel: 0.0786 2022/11/01 14:05:22 - mmengine - INFO - Epoch(train) [21][55/63] lr: 1.0000e-04 eta: 22:57:15 time: 1.0072 data_time: 0.0193 memory: 27783 loss: 0.2593 loss_text: 0.1821 loss_kernel: 0.0772 2022/11/01 14:05:27 - mmengine - INFO - Epoch(train) [21][60/63] lr: 1.0000e-04 eta: 22:50:42 time: 0.9232 data_time: 0.0135 memory: 27783 loss: 0.2829 loss_text: 0.1998 loss_kernel: 0.0831 2022/11/01 14:05:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:06:54 - mmengine - INFO - Epoch(train) [22][5/63] lr: 1.0000e-04 eta: 22:50:42 time: 8.9141 data_time: 8.0328 memory: 27783 loss: 0.3077 loss_text: 0.2179 loss_kernel: 0.0898 2022/11/01 14:07:00 - mmengine - INFO - Epoch(train) [22][10/63] lr: 1.0000e-04 eta: 23:17:58 time: 9.0179 data_time: 8.0504 memory: 27783 loss: 0.2814 loss_text: 0.1996 loss_kernel: 0.0818 2022/11/01 14:07:04 - mmengine - INFO - Epoch(train) [22][15/63] lr: 1.0000e-04 eta: 23:17:58 time: 1.0049 data_time: 0.0247 memory: 27783 loss: 0.2347 loss_text: 0.1688 loss_kernel: 0.0659 2022/11/01 14:07:10 - mmengine - INFO - Epoch(train) [22][20/63] lr: 1.0000e-04 eta: 23:11:40 time: 0.9932 data_time: 0.0199 memory: 27783 loss: 0.2803 loss_text: 0.1985 loss_kernel: 0.0818 2022/11/01 14:07:14 - mmengine - INFO - Epoch(train) [22][25/63] lr: 1.0000e-04 eta: 23:11:40 time: 0.9790 data_time: 0.0266 memory: 27783 loss: 0.2730 loss_text: 0.1911 loss_kernel: 0.0819 2022/11/01 14:07:19 - mmengine - INFO - Epoch(train) [22][30/63] lr: 1.0000e-04 eta: 23:05:12 time: 0.9357 data_time: 0.0167 memory: 27783 loss: 0.2445 loss_text: 0.1743 loss_kernel: 0.0702 2022/11/01 14:07:24 - mmengine - INFO - Epoch(train) [22][35/63] lr: 1.0000e-04 eta: 23:05:12 time: 0.9406 data_time: 0.0166 memory: 27783 loss: 0.2672 loss_text: 0.1897 loss_kernel: 0.0775 2022/11/01 14:07:29 - mmengine - INFO - Epoch(train) [22][40/63] lr: 1.0000e-04 eta: 22:59:03 time: 0.9857 data_time: 0.0178 memory: 27783 loss: 0.2864 loss_text: 0.2005 loss_kernel: 0.0859 2022/11/01 14:07:33 - mmengine - INFO - Epoch(train) [22][45/63] lr: 1.0000e-04 eta: 22:59:03 time: 0.9690 data_time: 0.0211 memory: 27783 loss: 0.2987 loss_text: 0.2093 loss_kernel: 0.0894 2022/11/01 14:07:38 - mmengine - INFO - Epoch(train) [22][50/63] lr: 1.0000e-04 eta: 22:52:46 time: 0.9367 data_time: 0.0233 memory: 27783 loss: 0.2501 loss_text: 0.1756 loss_kernel: 0.0745 2022/11/01 14:07:43 - mmengine - INFO - Epoch(train) [22][55/63] lr: 1.0000e-04 eta: 22:52:46 time: 0.9255 data_time: 0.0166 memory: 27783 loss: 0.2360 loss_text: 0.1664 loss_kernel: 0.0697 2022/11/01 14:07:48 - mmengine - INFO - Epoch(train) [22][60/63] lr: 1.0000e-04 eta: 22:46:41 time: 0.9598 data_time: 0.0196 memory: 27783 loss: 0.2765 loss_text: 0.1953 loss_kernel: 0.0812 2022/11/01 14:07:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:09:15 - mmengine - INFO - Epoch(train) [23][5/63] lr: 1.0000e-04 eta: 22:46:41 time: 8.9230 data_time: 8.0198 memory: 27783 loss: 0.2956 loss_text: 0.2072 loss_kernel: 0.0884 2022/11/01 14:09:20 - mmengine - INFO - Epoch(train) [23][10/63] lr: 1.0000e-04 eta: 23:12:39 time: 9.0122 data_time: 8.0232 memory: 27783 loss: 0.2823 loss_text: 0.1990 loss_kernel: 0.0833 2022/11/01 14:09:26 - mmengine - INFO - Epoch(train) [23][15/63] lr: 1.0000e-04 eta: 23:12:39 time: 1.0553 data_time: 0.0196 memory: 27783 loss: 0.2665 loss_text: 0.1878 loss_kernel: 0.0787 2022/11/01 14:09:31 - mmengine - INFO - Epoch(train) [23][20/63] lr: 1.0000e-04 eta: 23:06:55 time: 1.0571 data_time: 0.0257 memory: 27783 loss: 0.2500 loss_text: 0.1763 loss_kernel: 0.0737 2022/11/01 14:09:36 - mmengine - INFO - Epoch(train) [23][25/63] lr: 1.0000e-04 eta: 23:06:55 time: 1.0120 data_time: 0.0230 memory: 27783 loss: 0.2299 loss_text: 0.1614 loss_kernel: 0.0685 2022/11/01 14:09:40 - mmengine - INFO - Epoch(train) [23][30/63] lr: 1.0000e-04 eta: 23:00:53 time: 0.9649 data_time: 0.0161 memory: 27783 loss: 0.2380 loss_text: 0.1670 loss_kernel: 0.0710 2022/11/01 14:09:46 - mmengine - INFO - Epoch(train) [23][35/63] lr: 1.0000e-04 eta: 23:00:53 time: 0.9832 data_time: 0.0285 memory: 27783 loss: 0.2484 loss_text: 0.1752 loss_kernel: 0.0732 2022/11/01 14:09:50 - mmengine - INFO - Epoch(train) [23][40/63] lr: 1.0000e-04 eta: 22:55:02 time: 0.9898 data_time: 0.0242 memory: 27783 loss: 0.2793 loss_text: 0.1956 loss_kernel: 0.0838 2022/11/01 14:09:55 - mmengine - INFO - Epoch(train) [23][45/63] lr: 1.0000e-04 eta: 22:55:02 time: 0.9402 data_time: 0.0204 memory: 27783 loss: 0.3059 loss_text: 0.2129 loss_kernel: 0.0930 2022/11/01 14:10:00 - mmengine - INFO - Epoch(train) [23][50/63] lr: 1.0000e-04 eta: 22:49:08 time: 0.9597 data_time: 0.0246 memory: 27783 loss: 0.2819 loss_text: 0.1972 loss_kernel: 0.0847 2022/11/01 14:10:05 - mmengine - INFO - Epoch(train) [23][55/63] lr: 1.0000e-04 eta: 22:49:08 time: 0.9491 data_time: 0.0198 memory: 27783 loss: 0.2724 loss_text: 0.1913 loss_kernel: 0.0811 2022/11/01 14:10:10 - mmengine - INFO - Epoch(train) [23][60/63] lr: 1.0000e-04 eta: 22:43:22 time: 0.9729 data_time: 0.0231 memory: 27783 loss: 0.2466 loss_text: 0.1735 loss_kernel: 0.0731 2022/11/01 14:10:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:11:37 - mmengine - INFO - Epoch(train) [24][5/63] lr: 1.0000e-04 eta: 22:43:22 time: 8.9347 data_time: 8.0466 memory: 27783 loss: 0.2591 loss_text: 0.1827 loss_kernel: 0.0764 2022/11/01 14:11:42 - mmengine - INFO - Epoch(train) [24][10/63] lr: 1.0000e-04 eta: 23:08:03 time: 8.9911 data_time: 8.0558 memory: 27783 loss: 0.2357 loss_text: 0.1652 loss_kernel: 0.0705 2022/11/01 14:11:47 - mmengine - INFO - Epoch(train) [24][15/63] lr: 1.0000e-04 eta: 23:08:03 time: 0.9554 data_time: 0.0198 memory: 27783 loss: 0.2725 loss_text: 0.1916 loss_kernel: 0.0809 2022/11/01 14:11:52 - mmengine - INFO - Epoch(train) [24][20/63] lr: 1.0000e-04 eta: 23:02:13 time: 0.9669 data_time: 0.0199 memory: 27783 loss: 0.2943 loss_text: 0.2084 loss_kernel: 0.0858 2022/11/01 14:11:57 - mmengine - INFO - Epoch(train) [24][25/63] lr: 1.0000e-04 eta: 23:02:13 time: 1.0582 data_time: 0.0243 memory: 27783 loss: 0.2531 loss_text: 0.1782 loss_kernel: 0.0750 2022/11/01 14:12:03 - mmengine - INFO - Epoch(train) [24][30/63] lr: 1.0000e-04 eta: 22:56:57 time: 1.0892 data_time: 0.0282 memory: 27783 loss: 0.2559 loss_text: 0.1783 loss_kernel: 0.0775 2022/11/01 14:12:07 - mmengine - INFO - Epoch(train) [24][35/63] lr: 1.0000e-04 eta: 22:56:57 time: 0.9921 data_time: 0.0339 memory: 27783 loss: 0.2919 loss_text: 0.2048 loss_kernel: 0.0871 2022/11/01 14:12:12 - mmengine - INFO - Epoch(train) [24][40/63] lr: 1.0000e-04 eta: 22:51:12 time: 0.9557 data_time: 0.0192 memory: 27783 loss: 0.2780 loss_text: 0.1960 loss_kernel: 0.0820 2022/11/01 14:12:17 - mmengine - INFO - Epoch(train) [24][45/63] lr: 1.0000e-04 eta: 22:51:12 time: 0.9563 data_time: 0.0234 memory: 27783 loss: 0.2400 loss_text: 0.1687 loss_kernel: 0.0714 2022/11/01 14:12:22 - mmengine - INFO - Epoch(train) [24][50/63] lr: 1.0000e-04 eta: 22:45:27 time: 0.9337 data_time: 0.0301 memory: 27783 loss: 0.2609 loss_text: 0.1827 loss_kernel: 0.0781 2022/11/01 14:12:26 - mmengine - INFO - Epoch(train) [24][55/63] lr: 1.0000e-04 eta: 22:45:27 time: 0.9032 data_time: 0.0159 memory: 27783 loss: 0.2899 loss_text: 0.2049 loss_kernel: 0.0850 2022/11/01 14:12:31 - mmengine - INFO - Epoch(train) [24][60/63] lr: 1.0000e-04 eta: 22:39:41 time: 0.9128 data_time: 0.0124 memory: 27783 loss: 0.2895 loss_text: 0.2041 loss_kernel: 0.0854 2022/11/01 14:12:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:13:58 - mmengine - INFO - Epoch(train) [25][5/63] lr: 1.0000e-04 eta: 22:39:41 time: 8.9043 data_time: 8.0151 memory: 27783 loss: 0.2012 loss_text: 0.1422 loss_kernel: 0.0591 2022/11/01 14:14:02 - mmengine - INFO - Epoch(train) [25][10/63] lr: 1.0000e-04 eta: 23:02:58 time: 8.9063 data_time: 8.0309 memory: 27783 loss: 0.2177 loss_text: 0.1555 loss_kernel: 0.0622 2022/11/01 14:14:07 - mmengine - INFO - Epoch(train) [25][15/63] lr: 1.0000e-04 eta: 23:02:58 time: 0.8984 data_time: 0.0245 memory: 27783 loss: 0.2574 loss_text: 0.1818 loss_kernel: 0.0756 2022/11/01 14:14:11 - mmengine - INFO - Epoch(train) [25][20/63] lr: 1.0000e-04 eta: 22:57:08 time: 0.9042 data_time: 0.0138 memory: 27783 loss: 0.3009 loss_text: 0.2111 loss_kernel: 0.0899 2022/11/01 14:14:16 - mmengine - INFO - Epoch(train) [25][25/63] lr: 1.0000e-04 eta: 22:57:08 time: 0.9467 data_time: 0.0269 memory: 27783 loss: 0.2942 loss_text: 0.2057 loss_kernel: 0.0884 2022/11/01 14:14:21 - mmengine - INFO - Epoch(train) [25][30/63] lr: 1.0000e-04 eta: 22:51:44 time: 0.9975 data_time: 0.0254 memory: 27783 loss: 0.2992 loss_text: 0.2123 loss_kernel: 0.0869 2022/11/01 14:14:26 - mmengine - INFO - Epoch(train) [25][35/63] lr: 1.0000e-04 eta: 22:51:44 time: 0.9836 data_time: 0.0278 memory: 27783 loss: 0.3350 loss_text: 0.2390 loss_kernel: 0.0960 2022/11/01 14:14:31 - mmengine - INFO - Epoch(train) [25][40/63] lr: 1.0000e-04 eta: 22:46:20 time: 0.9791 data_time: 0.0296 memory: 27783 loss: 0.2755 loss_text: 0.1959 loss_kernel: 0.0796 2022/11/01 14:14:36 - mmengine - INFO - Epoch(train) [25][45/63] lr: 1.0000e-04 eta: 22:46:20 time: 0.9733 data_time: 0.0224 memory: 27783 loss: 0.2363 loss_text: 0.1687 loss_kernel: 0.0676 2022/11/01 14:14:41 - mmengine - INFO - Epoch(train) [25][50/63] lr: 1.0000e-04 eta: 22:40:55 time: 0.9568 data_time: 0.0177 memory: 27783 loss: 0.2616 loss_text: 0.1853 loss_kernel: 0.0763 2022/11/01 14:14:46 - mmengine - INFO - Epoch(train) [25][55/63] lr: 1.0000e-04 eta: 22:40:55 time: 0.9894 data_time: 0.0163 memory: 27783 loss: 0.2917 loss_text: 0.2049 loss_kernel: 0.0868 2022/11/01 14:14:51 - mmengine - INFO - Epoch(train) [25][60/63] lr: 1.0000e-04 eta: 22:35:38 time: 0.9785 data_time: 0.0178 memory: 27783 loss: 0.2984 loss_text: 0.2097 loss_kernel: 0.0887 2022/11/01 14:14:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:16:19 - mmengine - INFO - Epoch(train) [26][5/63] lr: 1.0000e-04 eta: 22:35:38 time: 9.0416 data_time: 8.0946 memory: 27783 loss: 0.2614 loss_text: 0.1835 loss_kernel: 0.0779 2022/11/01 14:16:25 - mmengine - INFO - Epoch(train) [26][10/63] lr: 1.0000e-04 eta: 22:58:53 time: 9.1488 data_time: 8.1076 memory: 27783 loss: 0.2868 loss_text: 0.2026 loss_kernel: 0.0841 2022/11/01 14:16:29 - mmengine - INFO - Epoch(train) [26][15/63] lr: 1.0000e-04 eta: 22:58:53 time: 1.0072 data_time: 0.0229 memory: 27783 loss: 0.2613 loss_text: 0.1857 loss_kernel: 0.0757 2022/11/01 14:16:34 - mmengine - INFO - Epoch(train) [26][20/63] lr: 1.0000e-04 eta: 22:53:27 time: 0.9513 data_time: 0.0170 memory: 27783 loss: 0.2610 loss_text: 0.1819 loss_kernel: 0.0791 2022/11/01 14:16:39 - mmengine - INFO - Epoch(train) [26][25/63] lr: 1.0000e-04 eta: 22:53:27 time: 0.9535 data_time: 0.0281 memory: 27783 loss: 0.2655 loss_text: 0.1833 loss_kernel: 0.0822 2022/11/01 14:16:44 - mmengine - INFO - Epoch(train) [26][30/63] lr: 1.0000e-04 eta: 22:48:10 time: 0.9693 data_time: 0.0188 memory: 27783 loss: 0.2634 loss_text: 0.1856 loss_kernel: 0.0778 2022/11/01 14:16:49 - mmengine - INFO - Epoch(train) [26][35/63] lr: 1.0000e-04 eta: 22:48:10 time: 0.9987 data_time: 0.0206 memory: 27783 loss: 0.2603 loss_text: 0.1851 loss_kernel: 0.0752 2022/11/01 14:16:54 - mmengine - INFO - Epoch(train) [26][40/63] lr: 1.0000e-04 eta: 22:43:02 time: 0.9967 data_time: 0.0262 memory: 27783 loss: 0.2357 loss_text: 0.1685 loss_kernel: 0.0672 2022/11/01 14:16:59 - mmengine - INFO - Epoch(train) [26][45/63] lr: 1.0000e-04 eta: 22:43:02 time: 0.9993 data_time: 0.0237 memory: 27783 loss: 0.2308 loss_text: 0.1641 loss_kernel: 0.0667 2022/11/01 14:17:04 - mmengine - INFO - Epoch(train) [26][50/63] lr: 1.0000e-04 eta: 22:37:58 time: 0.9952 data_time: 0.0274 memory: 27783 loss: 0.2610 loss_text: 0.1826 loss_kernel: 0.0784 2022/11/01 14:17:08 - mmengine - INFO - Epoch(train) [26][55/63] lr: 1.0000e-04 eta: 22:37:58 time: 0.9465 data_time: 0.0188 memory: 27783 loss: 0.2702 loss_text: 0.1893 loss_kernel: 0.0809 2022/11/01 14:17:13 - mmengine - INFO - Epoch(train) [26][60/63] lr: 1.0000e-04 eta: 22:32:40 time: 0.9186 data_time: 0.0164 memory: 27783 loss: 0.2627 loss_text: 0.1857 loss_kernel: 0.0770 2022/11/01 14:17:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:18:40 - mmengine - INFO - Epoch(train) [27][5/63] lr: 1.0000e-04 eta: 22:32:40 time: 8.9205 data_time: 8.0172 memory: 27783 loss: 0.2808 loss_text: 0.1988 loss_kernel: 0.0820 2022/11/01 14:18:45 - mmengine - INFO - Epoch(train) [27][10/63] lr: 1.0000e-04 eta: 22:54:20 time: 8.9743 data_time: 8.0211 memory: 27783 loss: 0.2573 loss_text: 0.1836 loss_kernel: 0.0737 2022/11/01 14:18:50 - mmengine - INFO - Epoch(train) [27][15/63] lr: 1.0000e-04 eta: 22:54:20 time: 0.9709 data_time: 0.0171 memory: 27783 loss: 0.2677 loss_text: 0.1892 loss_kernel: 0.0785 2022/11/01 14:18:55 - mmengine - INFO - Epoch(train) [27][20/63] lr: 1.0000e-04 eta: 22:49:13 time: 0.9793 data_time: 0.0216 memory: 27783 loss: 0.2662 loss_text: 0.1864 loss_kernel: 0.0798 2022/11/01 14:19:00 - mmengine - INFO - Epoch(train) [27][25/63] lr: 1.0000e-04 eta: 22:49:13 time: 0.9415 data_time: 0.0225 memory: 27783 loss: 0.2636 loss_text: 0.1861 loss_kernel: 0.0775 2022/11/01 14:19:04 - mmengine - INFO - Epoch(train) [27][30/63] lr: 1.0000e-04 eta: 22:44:03 time: 0.9439 data_time: 0.0234 memory: 27783 loss: 0.2740 loss_text: 0.1937 loss_kernel: 0.0803 2022/11/01 14:19:09 - mmengine - INFO - Epoch(train) [27][35/63] lr: 1.0000e-04 eta: 22:44:03 time: 0.9519 data_time: 0.0255 memory: 27783 loss: 0.2714 loss_text: 0.1897 loss_kernel: 0.0817 2022/11/01 14:19:14 - mmengine - INFO - Epoch(train) [27][40/63] lr: 1.0000e-04 eta: 22:39:08 time: 1.0028 data_time: 0.0216 memory: 27783 loss: 0.2378 loss_text: 0.1651 loss_kernel: 0.0727 2022/11/01 14:19:19 - mmengine - INFO - Epoch(train) [27][45/63] lr: 1.0000e-04 eta: 22:39:08 time: 1.0077 data_time: 0.0196 memory: 27783 loss: 0.2705 loss_text: 0.1888 loss_kernel: 0.0817 2022/11/01 14:19:24 - mmengine - INFO - Epoch(train) [27][50/63] lr: 1.0000e-04 eta: 22:34:08 time: 0.9573 data_time: 0.0215 memory: 27783 loss: 0.2691 loss_text: 0.1886 loss_kernel: 0.0804 2022/11/01 14:19:29 - mmengine - INFO - Epoch(train) [27][55/63] lr: 1.0000e-04 eta: 22:34:08 time: 0.9552 data_time: 0.0221 memory: 27783 loss: 0.2440 loss_text: 0.1717 loss_kernel: 0.0723 2022/11/01 14:19:34 - mmengine - INFO - Epoch(train) [27][60/63] lr: 1.0000e-04 eta: 22:29:19 time: 0.9970 data_time: 0.0210 memory: 27783 loss: 0.3012 loss_text: 0.2127 loss_kernel: 0.0885 2022/11/01 14:19:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:21:02 - mmengine - INFO - Epoch(train) [28][5/63] lr: 1.0000e-04 eta: 22:29:19 time: 9.0433 data_time: 8.0747 memory: 27783 loss: 0.2666 loss_text: 0.1839 loss_kernel: 0.0827 2022/11/01 14:21:07 - mmengine - INFO - Epoch(train) [28][10/63] lr: 1.0000e-04 eta: 22:50:33 time: 9.0942 data_time: 8.0860 memory: 27783 loss: 0.2395 loss_text: 0.1654 loss_kernel: 0.0741 2022/11/01 14:21:12 - mmengine - INFO - Epoch(train) [28][15/63] lr: 1.0000e-04 eta: 22:50:33 time: 0.9750 data_time: 0.0260 memory: 27783 loss: 0.2360 loss_text: 0.1657 loss_kernel: 0.0703 2022/11/01 14:21:17 - mmengine - INFO - Epoch(train) [28][20/63] lr: 1.0000e-04 eta: 22:45:33 time: 0.9580 data_time: 0.0337 memory: 27783 loss: 0.2090 loss_text: 0.1484 loss_kernel: 0.0606 2022/11/01 14:21:22 - mmengine - INFO - Epoch(train) [28][25/63] lr: 1.0000e-04 eta: 22:45:33 time: 0.9738 data_time: 0.0441 memory: 27783 loss: 0.2107 loss_text: 0.1496 loss_kernel: 0.0611 2022/11/01 14:21:27 - mmengine - INFO - Epoch(train) [28][30/63] lr: 1.0000e-04 eta: 22:40:35 time: 0.9500 data_time: 0.0190 memory: 27783 loss: 0.2710 loss_text: 0.1890 loss_kernel: 0.0820 2022/11/01 14:21:32 - mmengine - INFO - Epoch(train) [28][35/63] lr: 1.0000e-04 eta: 22:40:35 time: 0.9840 data_time: 0.0183 memory: 27783 loss: 0.3051 loss_text: 0.2127 loss_kernel: 0.0924 2022/11/01 14:21:36 - mmengine - INFO - Epoch(train) [28][40/63] lr: 1.0000e-04 eta: 22:35:45 time: 0.9718 data_time: 0.0201 memory: 27783 loss: 0.2883 loss_text: 0.2033 loss_kernel: 0.0851 2022/11/01 14:21:42 - mmengine - INFO - Epoch(train) [28][45/63] lr: 1.0000e-04 eta: 22:35:45 time: 0.9843 data_time: 0.0164 memory: 27783 loss: 0.2699 loss_text: 0.1925 loss_kernel: 0.0774 2022/11/01 14:21:47 - mmengine - INFO - Epoch(train) [28][50/63] lr: 1.0000e-04 eta: 22:31:10 time: 1.0276 data_time: 0.0252 memory: 27783 loss: 0.2666 loss_text: 0.1894 loss_kernel: 0.0772 2022/11/01 14:21:51 - mmengine - INFO - Epoch(train) [28][55/63] lr: 1.0000e-04 eta: 22:31:10 time: 0.9569 data_time: 0.0184 memory: 27783 loss: 0.2538 loss_text: 0.1809 loss_kernel: 0.0729 2022/11/01 14:21:56 - mmengine - INFO - Epoch(train) [28][60/63] lr: 1.0000e-04 eta: 22:26:16 time: 0.9218 data_time: 0.0178 memory: 27783 loss: 0.3062 loss_text: 0.2182 loss_kernel: 0.0880 2022/11/01 14:21:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:23:23 - mmengine - INFO - Epoch(train) [29][5/63] lr: 1.0000e-04 eta: 22:26:16 time: 8.9092 data_time: 8.0211 memory: 27783 loss: 0.3104 loss_text: 0.2173 loss_kernel: 0.0931 2022/11/01 14:23:28 - mmengine - INFO - Epoch(train) [29][10/63] lr: 1.0000e-04 eta: 22:46:16 time: 8.9700 data_time: 8.0417 memory: 27783 loss: 0.2743 loss_text: 0.1935 loss_kernel: 0.0809 2022/11/01 14:23:32 - mmengine - INFO - Epoch(train) [29][15/63] lr: 1.0000e-04 eta: 22:46:16 time: 0.9138 data_time: 0.0266 memory: 27783 loss: 0.2376 loss_text: 0.1678 loss_kernel: 0.0698 2022/11/01 14:23:37 - mmengine - INFO - Epoch(train) [29][20/63] lr: 1.0000e-04 eta: 22:41:17 time: 0.9074 data_time: 0.0187 memory: 27783 loss: 0.2465 loss_text: 0.1717 loss_kernel: 0.0748 2022/11/01 14:23:42 - mmengine - INFO - Epoch(train) [29][25/63] lr: 1.0000e-04 eta: 22:41:17 time: 0.9250 data_time: 0.0202 memory: 27783 loss: 0.2973 loss_text: 0.2074 loss_kernel: 0.0899 2022/11/01 14:23:46 - mmengine - INFO - Epoch(train) [29][30/63] lr: 1.0000e-04 eta: 22:36:25 time: 0.9260 data_time: 0.0185 memory: 27783 loss: 0.2792 loss_text: 0.1968 loss_kernel: 0.0824 2022/11/01 14:23:51 - mmengine - INFO - Epoch(train) [29][35/63] lr: 1.0000e-04 eta: 22:36:25 time: 0.9105 data_time: 0.0279 memory: 27783 loss: 0.2771 loss_text: 0.1958 loss_kernel: 0.0813 2022/11/01 14:23:56 - mmengine - INFO - Epoch(train) [29][40/63] lr: 1.0000e-04 eta: 22:31:37 time: 0.9285 data_time: 0.0163 memory: 27783 loss: 0.2834 loss_text: 0.1975 loss_kernel: 0.0858 2022/11/01 14:24:01 - mmengine - INFO - Epoch(train) [29][45/63] lr: 1.0000e-04 eta: 22:31:37 time: 0.9904 data_time: 0.0260 memory: 27783 loss: 0.2664 loss_text: 0.1869 loss_kernel: 0.0796 2022/11/01 14:24:06 - mmengine - INFO - Epoch(train) [29][50/63] lr: 1.0000e-04 eta: 22:27:06 time: 1.0007 data_time: 0.0362 memory: 27783 loss: 0.2798 loss_text: 0.1984 loss_kernel: 0.0814 2022/11/01 14:24:10 - mmengine - INFO - Epoch(train) [29][55/63] lr: 1.0000e-04 eta: 22:27:06 time: 0.9439 data_time: 0.0158 memory: 27783 loss: 0.2775 loss_text: 0.1962 loss_kernel: 0.0813 2022/11/01 14:24:15 - mmengine - INFO - Epoch(train) [29][60/63] lr: 1.0000e-04 eta: 22:22:18 time: 0.9013 data_time: 0.0118 memory: 27783 loss: 0.2975 loss_text: 0.2112 loss_kernel: 0.0863 2022/11/01 14:24:17 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:25:42 - mmengine - INFO - Epoch(train) [30][5/63] lr: 1.0000e-04 eta: 22:22:18 time: 8.9124 data_time: 8.0525 memory: 27783 loss: 0.2829 loss_text: 0.1976 loss_kernel: 0.0853 2022/11/01 14:25:47 - mmengine - INFO - Epoch(train) [30][10/63] lr: 1.0000e-04 eta: 22:41:45 time: 9.0164 data_time: 8.0622 memory: 27783 loss: 0.2272 loss_text: 0.1607 loss_kernel: 0.0665 2022/11/01 14:25:52 - mmengine - INFO - Epoch(train) [30][15/63] lr: 1.0000e-04 eta: 22:41:45 time: 1.0307 data_time: 0.0221 memory: 27783 loss: 0.2528 loss_text: 0.1792 loss_kernel: 0.0736 2022/11/01 14:25:57 - mmengine - INFO - Epoch(train) [30][20/63] lr: 1.0000e-04 eta: 22:37:16 time: 1.0102 data_time: 0.0242 memory: 27783 loss: 0.2777 loss_text: 0.1964 loss_kernel: 0.0814 2022/11/01 14:26:02 - mmengine - INFO - Epoch(train) [30][25/63] lr: 1.0000e-04 eta: 22:37:16 time: 0.9541 data_time: 0.0242 memory: 27783 loss: 0.2149 loss_text: 0.1522 loss_kernel: 0.0627 2022/11/01 14:26:06 - mmengine - INFO - Epoch(train) [30][30/63] lr: 1.0000e-04 eta: 22:32:37 time: 0.9394 data_time: 0.0195 memory: 27783 loss: 0.2272 loss_text: 0.1602 loss_kernel: 0.0669 2022/11/01 14:26:11 - mmengine - INFO - Epoch(train) [30][35/63] lr: 1.0000e-04 eta: 22:32:37 time: 0.9279 data_time: 0.0227 memory: 27783 loss: 0.2478 loss_text: 0.1767 loss_kernel: 0.0711 2022/11/01 14:26:16 - mmengine - INFO - Epoch(train) [30][40/63] lr: 1.0000e-04 eta: 22:28:01 time: 0.9408 data_time: 0.0193 memory: 27783 loss: 0.2719 loss_text: 0.1929 loss_kernel: 0.0790 2022/11/01 14:26:21 - mmengine - INFO - Epoch(train) [30][45/63] lr: 1.0000e-04 eta: 22:28:01 time: 0.9747 data_time: 0.0209 memory: 27783 loss: 0.3205 loss_text: 0.2247 loss_kernel: 0.0958 2022/11/01 14:26:26 - mmengine - INFO - Epoch(train) [30][50/63] lr: 1.0000e-04 eta: 22:23:32 time: 0.9623 data_time: 0.0237 memory: 27783 loss: 0.3012 loss_text: 0.2120 loss_kernel: 0.0893 2022/11/01 14:26:31 - mmengine - INFO - Epoch(train) [30][55/63] lr: 1.0000e-04 eta: 22:23:32 time: 0.9988 data_time: 0.0222 memory: 27783 loss: 0.2822 loss_text: 0.1979 loss_kernel: 0.0843 2022/11/01 14:26:36 - mmengine - INFO - Epoch(train) [30][60/63] lr: 1.0000e-04 eta: 22:19:26 time: 1.0687 data_time: 0.0243 memory: 27783 loss: 0.3036 loss_text: 0.2128 loss_kernel: 0.0909 2022/11/01 14:26:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:28:03 - mmengine - INFO - Epoch(train) [31][5/63] lr: 1.0000e-04 eta: 22:19:26 time: 8.8906 data_time: 8.0072 memory: 27783 loss: 0.2625 loss_text: 0.1847 loss_kernel: 0.0778 2022/11/01 14:28:08 - mmengine - INFO - Epoch(train) [31][10/63] lr: 1.0000e-04 eta: 22:37:53 time: 8.9247 data_time: 8.0181 memory: 27783 loss: 0.2721 loss_text: 0.1918 loss_kernel: 0.0803 2022/11/01 14:28:13 - mmengine - INFO - Epoch(train) [31][15/63] lr: 1.0000e-04 eta: 22:37:53 time: 0.9691 data_time: 0.0258 memory: 27783 loss: 0.2403 loss_text: 0.1700 loss_kernel: 0.0702 2022/11/01 14:28:19 - mmengine - INFO - Epoch(train) [31][20/63] lr: 1.0000e-04 eta: 22:33:46 time: 1.0734 data_time: 0.0242 memory: 27783 loss: 0.2661 loss_text: 0.1852 loss_kernel: 0.0809 2022/11/01 14:28:24 - mmengine - INFO - Epoch(train) [31][25/63] lr: 1.0000e-04 eta: 22:33:46 time: 1.0560 data_time: 0.0211 memory: 27783 loss: 0.2798 loss_text: 0.1982 loss_kernel: 0.0816 2022/11/01 14:28:28 - mmengine - INFO - Epoch(train) [31][30/63] lr: 1.0000e-04 eta: 22:29:23 time: 0.9765 data_time: 0.0206 memory: 27783 loss: 0.2730 loss_text: 0.1963 loss_kernel: 0.0767 2022/11/01 14:28:33 - mmengine - INFO - Epoch(train) [31][35/63] lr: 1.0000e-04 eta: 22:29:23 time: 0.9612 data_time: 0.0261 memory: 27783 loss: 0.2648 loss_text: 0.1885 loss_kernel: 0.0763 2022/11/01 14:28:38 - mmengine - INFO - Epoch(train) [31][40/63] lr: 1.0000e-04 eta: 22:24:53 time: 0.9282 data_time: 0.0199 memory: 27783 loss: 0.3020 loss_text: 0.2131 loss_kernel: 0.0889 2022/11/01 14:28:42 - mmengine - INFO - Epoch(train) [31][45/63] lr: 1.0000e-04 eta: 22:24:53 time: 0.9196 data_time: 0.0200 memory: 27783 loss: 0.2990 loss_text: 0.2103 loss_kernel: 0.0887 2022/11/01 14:28:47 - mmengine - INFO - Epoch(train) [31][50/63] lr: 1.0000e-04 eta: 22:20:29 time: 0.9389 data_time: 0.0224 memory: 27783 loss: 0.2420 loss_text: 0.1713 loss_kernel: 0.0708 2022/11/01 14:28:52 - mmengine - INFO - Epoch(train) [31][55/63] lr: 1.0000e-04 eta: 22:20:29 time: 0.9460 data_time: 0.0188 memory: 27783 loss: 0.2638 loss_text: 0.1860 loss_kernel: 0.0778 2022/11/01 14:28:58 - mmengine - INFO - Epoch(train) [31][60/63] lr: 1.0000e-04 eta: 22:16:29 time: 1.0606 data_time: 0.0201 memory: 27783 loss: 0.3001 loss_text: 0.2110 loss_kernel: 0.0891 2022/11/01 14:29:00 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:30:25 - mmengine - INFO - Epoch(train) [32][5/63] lr: 1.0000e-04 eta: 22:16:29 time: 8.9733 data_time: 8.0653 memory: 27783 loss: 0.3098 loss_text: 0.2208 loss_kernel: 0.0891 2022/11/01 14:30:30 - mmengine - INFO - Epoch(train) [32][10/63] lr: 1.0000e-04 eta: 22:34:34 time: 9.0091 data_time: 8.0742 memory: 27783 loss: 0.2395 loss_text: 0.1688 loss_kernel: 0.0707 2022/11/01 14:30:35 - mmengine - INFO - Epoch(train) [32][15/63] lr: 1.0000e-04 eta: 22:34:34 time: 0.9407 data_time: 0.0251 memory: 27783 loss: 0.2474 loss_text: 0.1752 loss_kernel: 0.0722 2022/11/01 14:30:40 - mmengine - INFO - Epoch(train) [32][20/63] lr: 1.0000e-04 eta: 22:30:07 time: 0.9224 data_time: 0.0234 memory: 27783 loss: 0.2727 loss_text: 0.1915 loss_kernel: 0.0812 2022/11/01 14:30:44 - mmengine - INFO - Epoch(train) [32][25/63] lr: 1.0000e-04 eta: 22:30:07 time: 0.9526 data_time: 0.0260 memory: 27783 loss: 0.2515 loss_text: 0.1739 loss_kernel: 0.0775 2022/11/01 14:30:50 - mmengine - INFO - Epoch(train) [32][30/63] lr: 1.0000e-04 eta: 22:26:08 time: 1.0643 data_time: 0.0203 memory: 27783 loss: 0.2815 loss_text: 0.1973 loss_kernel: 0.0842 2022/11/01 14:30:55 - mmengine - INFO - Epoch(train) [32][35/63] lr: 1.0000e-04 eta: 22:26:08 time: 1.0598 data_time: 0.0229 memory: 27783 loss: 0.2903 loss_text: 0.2027 loss_kernel: 0.0876 2022/11/01 14:30:59 - mmengine - INFO - Epoch(train) [32][40/63] lr: 1.0000e-04 eta: 22:21:47 time: 0.9290 data_time: 0.0199 memory: 27783 loss: 0.3002 loss_text: 0.2090 loss_kernel: 0.0912 2022/11/01 14:31:04 - mmengine - INFO - Epoch(train) [32][45/63] lr: 1.0000e-04 eta: 22:21:47 time: 0.9469 data_time: 0.0199 memory: 27783 loss: 0.2840 loss_text: 0.1999 loss_kernel: 0.0840 2022/11/01 14:31:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:31:09 - mmengine - INFO - Epoch(train) [32][50/63] lr: 1.0000e-04 eta: 22:17:35 time: 0.9668 data_time: 0.0295 memory: 27783 loss: 0.2473 loss_text: 0.1749 loss_kernel: 0.0724 2022/11/01 14:31:14 - mmengine - INFO - Epoch(train) [32][55/63] lr: 1.0000e-04 eta: 22:17:35 time: 0.9394 data_time: 0.0199 memory: 27783 loss: 0.2712 loss_text: 0.1910 loss_kernel: 0.0802 2022/11/01 14:31:19 - mmengine - INFO - Epoch(train) [32][60/63] lr: 1.0000e-04 eta: 22:13:22 time: 0.9411 data_time: 0.0156 memory: 27783 loss: 0.2567 loss_text: 0.1806 loss_kernel: 0.0762 2022/11/01 14:31:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:32:48 - mmengine - INFO - Epoch(train) [33][5/63] lr: 1.0000e-04 eta: 22:13:22 time: 9.0907 data_time: 8.0559 memory: 27783 loss: 0.2864 loss_text: 0.2033 loss_kernel: 0.0831 2022/11/01 14:32:53 - mmengine - INFO - Epoch(train) [33][10/63] lr: 1.0000e-04 eta: 22:31:19 time: 9.1708 data_time: 8.0694 memory: 27783 loss: 0.2447 loss_text: 0.1732 loss_kernel: 0.0715 2022/11/01 14:32:57 - mmengine - INFO - Epoch(train) [33][15/63] lr: 1.0000e-04 eta: 22:31:19 time: 0.9568 data_time: 0.0223 memory: 27783 loss: 0.2327 loss_text: 0.1650 loss_kernel: 0.0676 2022/11/01 14:33:02 - mmengine - INFO - Epoch(train) [33][20/63] lr: 1.0000e-04 eta: 22:27:01 time: 0.9298 data_time: 0.0168 memory: 27783 loss: 0.2688 loss_text: 0.1909 loss_kernel: 0.0780 2022/11/01 14:33:07 - mmengine - INFO - Epoch(train) [33][25/63] lr: 1.0000e-04 eta: 22:27:01 time: 0.9654 data_time: 0.0252 memory: 27783 loss: 0.3018 loss_text: 0.2105 loss_kernel: 0.0913 2022/11/01 14:33:12 - mmengine - INFO - Epoch(train) [33][30/63] lr: 1.0000e-04 eta: 22:22:54 time: 0.9725 data_time: 0.0185 memory: 27783 loss: 0.2732 loss_text: 0.1930 loss_kernel: 0.0802 2022/11/01 14:33:17 - mmengine - INFO - Epoch(train) [33][35/63] lr: 1.0000e-04 eta: 22:22:54 time: 1.0011 data_time: 0.0211 memory: 27783 loss: 0.2687 loss_text: 0.1899 loss_kernel: 0.0788 2022/11/01 14:33:22 - mmengine - INFO - Epoch(train) [33][40/63] lr: 1.0000e-04 eta: 22:18:55 time: 1.0098 data_time: 0.0223 memory: 27783 loss: 0.2778 loss_text: 0.1935 loss_kernel: 0.0843 2022/11/01 14:33:27 - mmengine - INFO - Epoch(train) [33][45/63] lr: 1.0000e-04 eta: 22:18:55 time: 1.0290 data_time: 0.0207 memory: 27783 loss: 0.2314 loss_text: 0.1640 loss_kernel: 0.0675 2022/11/01 14:33:32 - mmengine - INFO - Epoch(train) [33][50/63] lr: 1.0000e-04 eta: 22:15:05 time: 1.0483 data_time: 0.0262 memory: 27783 loss: 0.2485 loss_text: 0.1753 loss_kernel: 0.0732 2022/11/01 14:33:37 - mmengine - INFO - Epoch(train) [33][55/63] lr: 1.0000e-04 eta: 22:15:05 time: 0.9629 data_time: 0.0295 memory: 27783 loss: 0.2937 loss_text: 0.2048 loss_kernel: 0.0889 2022/11/01 14:33:42 - mmengine - INFO - Epoch(train) [33][60/63] lr: 1.0000e-04 eta: 22:10:56 time: 0.9221 data_time: 0.0229 memory: 27783 loss: 0.3355 loss_text: 0.2350 loss_kernel: 0.1005 2022/11/01 14:33:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:35:10 - mmengine - INFO - Epoch(train) [34][5/63] lr: 1.0000e-04 eta: 22:10:56 time: 9.0634 data_time: 8.0936 memory: 27783 loss: 0.2349 loss_text: 0.1670 loss_kernel: 0.0679 2022/11/01 14:35:16 - mmengine - INFO - Epoch(train) [34][10/63] lr: 1.0000e-04 eta: 22:28:13 time: 9.1457 data_time: 8.1085 memory: 27783 loss: 0.2258 loss_text: 0.1593 loss_kernel: 0.0664 2022/11/01 14:35:20 - mmengine - INFO - Epoch(train) [34][15/63] lr: 1.0000e-04 eta: 22:28:13 time: 0.9879 data_time: 0.0277 memory: 27783 loss: 0.2351 loss_text: 0.1621 loss_kernel: 0.0730 2022/11/01 14:35:25 - mmengine - INFO - Epoch(train) [34][20/63] lr: 1.0000e-04 eta: 22:24:08 time: 0.9566 data_time: 0.0172 memory: 27783 loss: 0.2884 loss_text: 0.2033 loss_kernel: 0.0851 2022/11/01 14:35:30 - mmengine - INFO - Epoch(train) [34][25/63] lr: 1.0000e-04 eta: 22:24:08 time: 0.9424 data_time: 0.0229 memory: 27783 loss: 0.2609 loss_text: 0.1847 loss_kernel: 0.0761 2022/11/01 14:35:34 - mmengine - INFO - Epoch(train) [34][30/63] lr: 1.0000e-04 eta: 22:19:57 time: 0.9065 data_time: 0.0186 memory: 27783 loss: 0.2747 loss_text: 0.1930 loss_kernel: 0.0818 2022/11/01 14:35:39 - mmengine - INFO - Epoch(train) [34][35/63] lr: 1.0000e-04 eta: 22:19:57 time: 0.9107 data_time: 0.0231 memory: 27783 loss: 0.2737 loss_text: 0.1938 loss_kernel: 0.0799 2022/11/01 14:35:44 - mmengine - INFO - Epoch(train) [34][40/63] lr: 1.0000e-04 eta: 22:15:54 time: 0.9450 data_time: 0.0160 memory: 27783 loss: 0.2753 loss_text: 0.1924 loss_kernel: 0.0829 2022/11/01 14:35:49 - mmengine - INFO - Epoch(train) [34][45/63] lr: 1.0000e-04 eta: 22:15:54 time: 0.9868 data_time: 0.0276 memory: 27783 loss: 0.3299 loss_text: 0.2323 loss_kernel: 0.0976 2022/11/01 14:35:54 - mmengine - INFO - Epoch(train) [34][50/63] lr: 1.0000e-04 eta: 22:12:00 time: 0.9848 data_time: 0.0393 memory: 27783 loss: 0.3099 loss_text: 0.2220 loss_kernel: 0.0880 2022/11/01 14:35:58 - mmengine - INFO - Epoch(train) [34][55/63] lr: 1.0000e-04 eta: 22:12:00 time: 0.9720 data_time: 0.0170 memory: 27783 loss: 0.2743 loss_text: 0.1937 loss_kernel: 0.0806 2022/11/01 14:36:04 - mmengine - INFO - Epoch(train) [34][60/63] lr: 1.0000e-04 eta: 22:08:16 time: 1.0304 data_time: 0.0129 memory: 27783 loss: 0.2671 loss_text: 0.1865 loss_kernel: 0.0806 2022/11/01 14:36:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:37:31 - mmengine - INFO - Epoch(train) [35][5/63] lr: 1.0000e-04 eta: 22:08:16 time: 8.9528 data_time: 8.0106 memory: 27783 loss: 0.2579 loss_text: 0.1796 loss_kernel: 0.0783 2022/11/01 14:37:36 - mmengine - INFO - Epoch(train) [35][10/63] lr: 1.0000e-04 eta: 22:24:32 time: 8.9734 data_time: 8.0225 memory: 27783 loss: 0.2199 loss_text: 0.1533 loss_kernel: 0.0666 2022/11/01 14:37:41 - mmengine - INFO - Epoch(train) [35][15/63] lr: 1.0000e-04 eta: 22:24:32 time: 1.0105 data_time: 0.0176 memory: 27783 loss: 0.2655 loss_text: 0.1860 loss_kernel: 0.0795 2022/11/01 14:37:46 - mmengine - INFO - Epoch(train) [35][20/63] lr: 1.0000e-04 eta: 22:20:41 time: 0.9977 data_time: 0.0230 memory: 27783 loss: 0.3211 loss_text: 0.2261 loss_kernel: 0.0950 2022/11/01 14:37:51 - mmengine - INFO - Epoch(train) [35][25/63] lr: 1.0000e-04 eta: 22:20:41 time: 0.9776 data_time: 0.0337 memory: 27783 loss: 0.2840 loss_text: 0.2006 loss_kernel: 0.0834 2022/11/01 14:37:56 - mmengine - INFO - Epoch(train) [35][30/63] lr: 1.0000e-04 eta: 22:16:47 time: 0.9702 data_time: 0.0167 memory: 27783 loss: 0.2446 loss_text: 0.1701 loss_kernel: 0.0745 2022/11/01 14:38:01 - mmengine - INFO - Epoch(train) [35][35/63] lr: 1.0000e-04 eta: 22:16:47 time: 1.0267 data_time: 0.0170 memory: 27783 loss: 0.2243 loss_text: 0.1567 loss_kernel: 0.0676 2022/11/01 14:38:06 - mmengine - INFO - Epoch(train) [35][40/63] lr: 1.0000e-04 eta: 22:13:13 time: 1.0774 data_time: 0.0191 memory: 27783 loss: 0.2575 loss_text: 0.1809 loss_kernel: 0.0766 2022/11/01 14:38:11 - mmengine - INFO - Epoch(train) [35][45/63] lr: 1.0000e-04 eta: 22:13:13 time: 0.9829 data_time: 0.0184 memory: 27783 loss: 0.3024 loss_text: 0.2124 loss_kernel: 0.0900 2022/11/01 14:38:16 - mmengine - INFO - Epoch(train) [35][50/63] lr: 1.0000e-04 eta: 22:09:16 time: 0.9268 data_time: 0.0289 memory: 27783 loss: 0.3099 loss_text: 0.2192 loss_kernel: 0.0907 2022/11/01 14:38:20 - mmengine - INFO - Epoch(train) [35][55/63] lr: 1.0000e-04 eta: 22:09:16 time: 0.9301 data_time: 0.0194 memory: 27783 loss: 0.3094 loss_text: 0.2191 loss_kernel: 0.0903 2022/11/01 14:38:25 - mmengine - INFO - Epoch(train) [35][60/63] lr: 1.0000e-04 eta: 22:05:20 time: 0.9163 data_time: 0.0125 memory: 27783 loss: 0.3079 loss_text: 0.2182 loss_kernel: 0.0897 2022/11/01 14:38:27 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:39:54 - mmengine - INFO - Epoch(train) [36][5/63] lr: 1.0000e-04 eta: 22:05:20 time: 9.0350 data_time: 8.0277 memory: 27783 loss: 0.2283 loss_text: 0.1617 loss_kernel: 0.0667 2022/11/01 14:39:59 - mmengine - INFO - Epoch(train) [36][10/63] lr: 1.0000e-04 eta: 22:21:27 time: 9.1026 data_time: 8.0357 memory: 27783 loss: 0.2628 loss_text: 0.1833 loss_kernel: 0.0795 2022/11/01 14:40:03 - mmengine - INFO - Epoch(train) [36][15/63] lr: 1.0000e-04 eta: 22:21:27 time: 0.9861 data_time: 0.0252 memory: 27783 loss: 0.2763 loss_text: 0.1947 loss_kernel: 0.0816 2022/11/01 14:40:08 - mmengine - INFO - Epoch(train) [36][20/63] lr: 1.0000e-04 eta: 22:17:34 time: 0.9479 data_time: 0.0248 memory: 27783 loss: 0.2615 loss_text: 0.1856 loss_kernel: 0.0758 2022/11/01 14:40:13 - mmengine - INFO - Epoch(train) [36][25/63] lr: 1.0000e-04 eta: 22:17:34 time: 0.9355 data_time: 0.0217 memory: 27783 loss: 0.2976 loss_text: 0.2102 loss_kernel: 0.0874 2022/11/01 14:40:17 - mmengine - INFO - Epoch(train) [36][30/63] lr: 1.0000e-04 eta: 22:13:41 time: 0.9347 data_time: 0.0179 memory: 27783 loss: 0.3069 loss_text: 0.2169 loss_kernel: 0.0901 2022/11/01 14:40:22 - mmengine - INFO - Epoch(train) [36][35/63] lr: 1.0000e-04 eta: 22:13:41 time: 0.9290 data_time: 0.0149 memory: 27783 loss: 0.2783 loss_text: 0.1947 loss_kernel: 0.0836 2022/11/01 14:40:27 - mmengine - INFO - Epoch(train) [36][40/63] lr: 1.0000e-04 eta: 22:09:56 time: 0.9728 data_time: 0.0155 memory: 27783 loss: 0.2550 loss_text: 0.1761 loss_kernel: 0.0788 2022/11/01 14:40:32 - mmengine - INFO - Epoch(train) [36][45/63] lr: 1.0000e-04 eta: 22:09:56 time: 1.0376 data_time: 0.0273 memory: 27783 loss: 0.2459 loss_text: 0.1704 loss_kernel: 0.0755 2022/11/01 14:40:37 - mmengine - INFO - Epoch(train) [36][50/63] lr: 1.0000e-04 eta: 22:06:15 time: 0.9845 data_time: 0.0246 memory: 27783 loss: 0.2713 loss_text: 0.1905 loss_kernel: 0.0808 2022/11/01 14:40:41 - mmengine - INFO - Epoch(train) [36][55/63] lr: 1.0000e-04 eta: 22:06:15 time: 0.9013 data_time: 0.0166 memory: 27783 loss: 0.3151 loss_text: 0.2203 loss_kernel: 0.0948 2022/11/01 14:40:46 - mmengine - INFO - Epoch(train) [36][60/63] lr: 1.0000e-04 eta: 22:02:22 time: 0.8928 data_time: 0.0182 memory: 27783 loss: 0.2797 loss_text: 0.1960 loss_kernel: 0.0837 2022/11/01 14:40:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:42:14 - mmengine - INFO - Epoch(train) [37][5/63] lr: 1.0000e-04 eta: 22:02:22 time: 8.9399 data_time: 8.0142 memory: 27783 loss: 0.2433 loss_text: 0.1728 loss_kernel: 0.0704 2022/11/01 14:42:19 - mmengine - INFO - Epoch(train) [37][10/63] lr: 1.0000e-04 eta: 22:17:54 time: 9.0685 data_time: 8.0163 memory: 27783 loss: 0.1982 loss_text: 0.1373 loss_kernel: 0.0609 2022/11/01 14:42:24 - mmengine - INFO - Epoch(train) [37][15/63] lr: 1.0000e-04 eta: 22:17:54 time: 0.9965 data_time: 0.0185 memory: 27783 loss: 0.2284 loss_text: 0.1595 loss_kernel: 0.0688 2022/11/01 14:42:28 - mmengine - INFO - Epoch(train) [37][20/63] lr: 1.0000e-04 eta: 22:14:05 time: 0.9301 data_time: 0.0236 memory: 27783 loss: 0.3008 loss_text: 0.2100 loss_kernel: 0.0908 2022/11/01 14:42:33 - mmengine - INFO - Epoch(train) [37][25/63] lr: 1.0000e-04 eta: 22:14:05 time: 0.9082 data_time: 0.0186 memory: 27783 loss: 0.3161 loss_text: 0.2195 loss_kernel: 0.0966 2022/11/01 14:42:38 - mmengine - INFO - Epoch(train) [37][30/63] lr: 1.0000e-04 eta: 22:10:19 time: 0.9345 data_time: 0.0197 memory: 27783 loss: 0.3040 loss_text: 0.2130 loss_kernel: 0.0910 2022/11/01 14:42:42 - mmengine - INFO - Epoch(train) [37][35/63] lr: 1.0000e-04 eta: 22:10:19 time: 0.9786 data_time: 0.0287 memory: 27783 loss: 0.2523 loss_text: 0.1793 loss_kernel: 0.0730 2022/11/01 14:42:47 - mmengine - INFO - Epoch(train) [37][40/63] lr: 1.0000e-04 eta: 22:06:37 time: 0.9517 data_time: 0.0168 memory: 27783 loss: 0.2543 loss_text: 0.1781 loss_kernel: 0.0762 2022/11/01 14:42:52 - mmengine - INFO - Epoch(train) [37][45/63] lr: 1.0000e-04 eta: 22:06:37 time: 0.9500 data_time: 0.0223 memory: 27783 loss: 0.2647 loss_text: 0.1854 loss_kernel: 0.0793 2022/11/01 14:42:57 - mmengine - INFO - Epoch(train) [37][50/63] lr: 1.0000e-04 eta: 22:03:02 time: 0.9824 data_time: 0.0262 memory: 27783 loss: 0.2630 loss_text: 0.1855 loss_kernel: 0.0775 2022/11/01 14:43:02 - mmengine - INFO - Epoch(train) [37][55/63] lr: 1.0000e-04 eta: 22:03:02 time: 1.0112 data_time: 0.0203 memory: 27783 loss: 0.2972 loss_text: 0.2090 loss_kernel: 0.0882 2022/11/01 14:43:07 - mmengine - INFO - Epoch(train) [37][60/63] lr: 1.0000e-04 eta: 21:59:31 time: 1.0005 data_time: 0.0240 memory: 27783 loss: 0.3051 loss_text: 0.2153 loss_kernel: 0.0898 2022/11/01 14:43:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:44:34 - mmengine - INFO - Epoch(train) [38][5/63] lr: 1.0000e-04 eta: 21:59:31 time: 8.9219 data_time: 8.0427 memory: 27783 loss: 0.3033 loss_text: 0.2126 loss_kernel: 0.0907 2022/11/01 14:44:39 - mmengine - INFO - Epoch(train) [38][10/63] lr: 1.0000e-04 eta: 22:14:26 time: 9.0000 data_time: 8.0580 memory: 27783 loss: 0.2264 loss_text: 0.1586 loss_kernel: 0.0679 2022/11/01 14:44:45 - mmengine - INFO - Epoch(train) [38][15/63] lr: 1.0000e-04 eta: 22:14:26 time: 1.0180 data_time: 0.0252 memory: 27783 loss: 0.2378 loss_text: 0.1658 loss_kernel: 0.0721 2022/11/01 14:44:50 - mmengine - INFO - Epoch(train) [38][20/63] lr: 1.0000e-04 eta: 22:10:59 time: 1.0370 data_time: 0.0255 memory: 27783 loss: 0.2375 loss_text: 0.1670 loss_kernel: 0.0705 2022/11/01 14:44:55 - mmengine - INFO - Epoch(train) [38][25/63] lr: 1.0000e-04 eta: 22:10:59 time: 1.0085 data_time: 0.0440 memory: 27783 loss: 0.2069 loss_text: 0.1449 loss_kernel: 0.0620 2022/11/01 14:45:00 - mmengine - INFO - Epoch(train) [38][30/63] lr: 1.0000e-04 eta: 22:07:29 time: 1.0028 data_time: 0.0252 memory: 27783 loss: 0.2397 loss_text: 0.1672 loss_kernel: 0.0725 2022/11/01 14:45:04 - mmengine - INFO - Epoch(train) [38][35/63] lr: 1.0000e-04 eta: 22:07:29 time: 0.9571 data_time: 0.0175 memory: 27783 loss: 0.2534 loss_text: 0.1778 loss_kernel: 0.0756 2022/11/01 14:45:09 - mmengine - INFO - Epoch(train) [38][40/63] lr: 1.0000e-04 eta: 22:03:49 time: 0.9264 data_time: 0.0183 memory: 27783 loss: 0.2620 loss_text: 0.1848 loss_kernel: 0.0772 2022/11/01 14:45:14 - mmengine - INFO - Epoch(train) [38][45/63] lr: 1.0000e-04 eta: 22:03:49 time: 0.9283 data_time: 0.0155 memory: 27783 loss: 0.2946 loss_text: 0.2079 loss_kernel: 0.0868 2022/11/01 14:45:18 - mmengine - INFO - Epoch(train) [38][50/63] lr: 1.0000e-04 eta: 22:00:09 time: 0.9168 data_time: 0.0246 memory: 27783 loss: 0.3250 loss_text: 0.2283 loss_kernel: 0.0967 2022/11/01 14:45:23 - mmengine - INFO - Epoch(train) [38][55/63] lr: 1.0000e-04 eta: 22:00:09 time: 0.9474 data_time: 0.0157 memory: 27783 loss: 0.3100 loss_text: 0.2174 loss_kernel: 0.0927 2022/11/01 14:45:29 - mmengine - INFO - Epoch(train) [38][60/63] lr: 1.0000e-04 eta: 21:56:55 time: 1.0723 data_time: 0.0178 memory: 27783 loss: 0.2485 loss_text: 0.1738 loss_kernel: 0.0747 2022/11/01 14:45:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:46:56 - mmengine - INFO - Epoch(train) [39][5/63] lr: 1.0000e-04 eta: 21:56:55 time: 8.9525 data_time: 8.0254 memory: 27783 loss: 0.2650 loss_text: 0.1857 loss_kernel: 0.0793 2022/11/01 14:47:01 - mmengine - INFO - Epoch(train) [39][10/63] lr: 1.0000e-04 eta: 22:11:18 time: 8.9634 data_time: 8.0470 memory: 27783 loss: 0.2803 loss_text: 0.1959 loss_kernel: 0.0844 2022/11/01 14:47:05 - mmengine - INFO - Epoch(train) [39][15/63] lr: 1.0000e-04 eta: 22:11:18 time: 0.9533 data_time: 0.0287 memory: 27783 loss: 0.2719 loss_text: 0.1904 loss_kernel: 0.0815 2022/11/01 14:47:10 - mmengine - INFO - Epoch(train) [39][20/63] lr: 1.0000e-04 eta: 22:07:45 time: 0.9560 data_time: 0.0176 memory: 27783 loss: 0.2414 loss_text: 0.1698 loss_kernel: 0.0716 2022/11/01 14:47:15 - mmengine - INFO - Epoch(train) [39][25/63] lr: 1.0000e-04 eta: 22:07:45 time: 0.9924 data_time: 0.0256 memory: 27783 loss: 0.2493 loss_text: 0.1741 loss_kernel: 0.0752 2022/11/01 14:47:20 - mmengine - INFO - Epoch(train) [39][30/63] lr: 1.0000e-04 eta: 22:04:16 time: 0.9748 data_time: 0.0197 memory: 27783 loss: 0.2977 loss_text: 0.2083 loss_kernel: 0.0894 2022/11/01 14:47:25 - mmengine - INFO - Epoch(train) [39][35/63] lr: 1.0000e-04 eta: 22:04:16 time: 0.9605 data_time: 0.0241 memory: 27783 loss: 0.3128 loss_text: 0.2192 loss_kernel: 0.0936 2022/11/01 14:47:30 - mmengine - INFO - Epoch(train) [39][40/63] lr: 1.0000e-04 eta: 22:00:46 time: 0.9539 data_time: 0.0224 memory: 27783 loss: 0.2813 loss_text: 0.1967 loss_kernel: 0.0846 2022/11/01 14:47:34 - mmengine - INFO - Epoch(train) [39][45/63] lr: 1.0000e-04 eta: 22:00:46 time: 0.9396 data_time: 0.0189 memory: 27783 loss: 0.2196 loss_text: 0.1543 loss_kernel: 0.0652 2022/11/01 14:47:39 - mmengine - INFO - Epoch(train) [39][50/63] lr: 1.0000e-04 eta: 21:57:18 time: 0.9604 data_time: 0.0272 memory: 27783 loss: 0.2280 loss_text: 0.1594 loss_kernel: 0.0686 2022/11/01 14:47:44 - mmengine - INFO - Epoch(train) [39][55/63] lr: 1.0000e-04 eta: 21:57:18 time: 0.9419 data_time: 0.0177 memory: 27783 loss: 0.2839 loss_text: 0.1971 loss_kernel: 0.0868 2022/11/01 14:47:48 - mmengine - INFO - Epoch(train) [39][60/63] lr: 1.0000e-04 eta: 21:53:45 time: 0.9087 data_time: 0.0149 memory: 27783 loss: 0.2639 loss_text: 0.1836 loss_kernel: 0.0803 2022/11/01 14:47:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:49:17 - mmengine - INFO - Epoch(train) [40][5/63] lr: 1.0000e-04 eta: 21:53:45 time: 8.9924 data_time: 8.0211 memory: 27783 loss: 0.2463 loss_text: 0.1703 loss_kernel: 0.0760 2022/11/01 14:49:21 - mmengine - INFO - Epoch(train) [40][10/63] lr: 1.0000e-04 eta: 22:07:48 time: 8.9862 data_time: 8.0366 memory: 27783 loss: 0.2492 loss_text: 0.1733 loss_kernel: 0.0759 2022/11/01 14:49:27 - mmengine - INFO - Epoch(train) [40][15/63] lr: 1.0000e-04 eta: 22:07:48 time: 1.0114 data_time: 0.0220 memory: 27783 loss: 0.2563 loss_text: 0.1799 loss_kernel: 0.0765 2022/11/01 14:49:32 - mmengine - INFO - Epoch(train) [40][20/63] lr: 1.0000e-04 eta: 22:04:32 time: 1.0429 data_time: 0.0174 memory: 27783 loss: 0.2389 loss_text: 0.1670 loss_kernel: 0.0718 2022/11/01 14:49:37 - mmengine - INFO - Epoch(train) [40][25/63] lr: 1.0000e-04 eta: 22:04:32 time: 0.9870 data_time: 0.0277 memory: 27783 loss: 0.2593 loss_text: 0.1805 loss_kernel: 0.0788 2022/11/01 14:49:41 - mmengine - INFO - Epoch(train) [40][30/63] lr: 1.0000e-04 eta: 22:01:03 time: 0.9334 data_time: 0.0167 memory: 27783 loss: 0.2854 loss_text: 0.2013 loss_kernel: 0.0841 2022/11/01 14:49:46 - mmengine - INFO - Epoch(train) [40][35/63] lr: 1.0000e-04 eta: 22:01:03 time: 0.9424 data_time: 0.0192 memory: 27783 loss: 0.3208 loss_text: 0.2268 loss_kernel: 0.0940 2022/11/01 14:49:51 - mmengine - INFO - Epoch(train) [40][40/63] lr: 1.0000e-04 eta: 21:57:40 time: 0.9687 data_time: 0.0221 memory: 27783 loss: 0.3016 loss_text: 0.2104 loss_kernel: 0.0912 2022/11/01 14:49:56 - mmengine - INFO - Epoch(train) [40][45/63] lr: 1.0000e-04 eta: 21:57:40 time: 1.0138 data_time: 0.0197 memory: 27783 loss: 0.2755 loss_text: 0.1914 loss_kernel: 0.0841 2022/11/01 14:50:01 - mmengine - INFO - Epoch(train) [40][50/63] lr: 1.0000e-04 eta: 21:54:24 time: 1.0072 data_time: 0.0273 memory: 27783 loss: 0.2871 loss_text: 0.2016 loss_kernel: 0.0856 2022/11/01 14:50:06 - mmengine - INFO - Epoch(train) [40][55/63] lr: 1.0000e-04 eta: 21:54:24 time: 0.9855 data_time: 0.0212 memory: 27783 loss: 0.2609 loss_text: 0.1847 loss_kernel: 0.0762 2022/11/01 14:50:11 - mmengine - INFO - Epoch(train) [40][60/63] lr: 1.0000e-04 eta: 21:51:04 time: 0.9665 data_time: 0.0209 memory: 27783 loss: 0.2878 loss_text: 0.2013 loss_kernel: 0.0865 2022/11/01 14:50:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:50:13 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/11/01 14:50:45 - mmengine - INFO - Epoch(val) [40][5/500] eta: 21:51:04 time: 5.3272 data_time: 4.6642 memory: 34289 2022/11/01 14:50:45 - mmengine - INFO - Epoch(val) [40][10/500] eta: 0:22:05 time: 2.7042 data_time: 2.3340 memory: 3208 2022/11/01 14:50:46 - mmengine - INFO - Epoch(val) [40][15/500] eta: 0:22:05 time: 0.0794 data_time: 0.0034 memory: 3208 2022/11/01 14:50:46 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:00:36 time: 0.0764 data_time: 0.0027 memory: 3208 2022/11/01 14:50:47 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:00:36 time: 0.0719 data_time: 0.0024 memory: 3208 2022/11/01 14:50:47 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:00:35 time: 0.0758 data_time: 0.0025 memory: 3208 2022/11/01 14:50:47 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:00:35 time: 0.0771 data_time: 0.0025 memory: 3208 2022/11/01 14:50:48 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:00:36 time: 0.0798 data_time: 0.0038 memory: 3208 2022/11/01 14:50:48 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:00:36 time: 0.0830 data_time: 0.0039 memory: 3208 2022/11/01 14:50:49 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:00:33 time: 0.0741 data_time: 0.0027 memory: 3208 2022/11/01 14:50:49 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:00:33 time: 0.0705 data_time: 0.0026 memory: 3208 2022/11/01 14:50:49 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:00:31 time: 0.0706 data_time: 0.0026 memory: 3208 2022/11/01 14:50:50 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:00:31 time: 0.0724 data_time: 0.0024 memory: 3208 2022/11/01 14:50:50 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:00:31 time: 0.0729 data_time: 0.0022 memory: 3208 2022/11/01 14:50:50 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:00:31 time: 0.0727 data_time: 0.0024 memory: 3208 2022/11/01 14:50:51 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:00:29 time: 0.0706 data_time: 0.0028 memory: 3208 2022/11/01 14:50:51 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:00:29 time: 0.0678 data_time: 0.0027 memory: 3208 2022/11/01 14:50:51 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:00:29 time: 0.0725 data_time: 0.0024 memory: 3208 2022/11/01 14:50:52 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:00:29 time: 0.0761 data_time: 0.0023 memory: 3208 2022/11/01 14:50:52 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:00:29 time: 0.0726 data_time: 0.0023 memory: 3208 2022/11/01 14:50:52 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:00:29 time: 0.0721 data_time: 0.0025 memory: 3208 2022/11/01 14:50:53 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:00:28 time: 0.0719 data_time: 0.0028 memory: 3208 2022/11/01 14:50:53 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:00:28 time: 0.0702 data_time: 0.0027 memory: 3208 2022/11/01 14:50:54 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:28 time: 0.0743 data_time: 0.0026 memory: 3208 2022/11/01 14:50:54 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:28 time: 0.0797 data_time: 0.0068 memory: 3208 2022/11/01 14:50:54 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:00:28 time: 0.0757 data_time: 0.0066 memory: 3208 2022/11/01 14:50:55 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:00:28 time: 0.0699 data_time: 0.0025 memory: 3208 2022/11/01 14:50:55 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:25 time: 0.0700 data_time: 0.0024 memory: 3208 2022/11/01 14:50:55 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:25 time: 0.0762 data_time: 0.0025 memory: 3208 2022/11/01 14:50:56 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:00:27 time: 0.0787 data_time: 0.0029 memory: 3208 2022/11/01 14:50:56 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:00:27 time: 0.0803 data_time: 0.0031 memory: 3208 2022/11/01 14:50:57 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:00:27 time: 0.0801 data_time: 0.0034 memory: 3208 2022/11/01 14:50:57 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:00:27 time: 0.0728 data_time: 0.0030 memory: 3208 2022/11/01 14:50:57 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:00:24 time: 0.0747 data_time: 0.0038 memory: 3208 2022/11/01 14:50:58 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:00:24 time: 0.0737 data_time: 0.0039 memory: 3208 2022/11/01 14:50:58 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:22 time: 0.0701 data_time: 0.0024 memory: 3208 2022/11/01 14:50:58 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:22 time: 0.0757 data_time: 0.0030 memory: 3208 2022/11/01 14:50:59 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:00:24 time: 0.0788 data_time: 0.0033 memory: 3208 2022/11/01 14:50:59 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:00:24 time: 0.0746 data_time: 0.0041 memory: 3208 2022/11/01 14:51:00 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:00:23 time: 0.0800 data_time: 0.0038 memory: 3208 2022/11/01 14:51:00 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:00:23 time: 0.0800 data_time: 0.0026 memory: 3208 2022/11/01 14:51:00 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:00:21 time: 0.0725 data_time: 0.0026 memory: 3208 2022/11/01 14:51:01 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:00:21 time: 0.0735 data_time: 0.0032 memory: 3208 2022/11/01 14:51:01 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:00:20 time: 0.0722 data_time: 0.0030 memory: 3208 2022/11/01 14:51:01 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:00:20 time: 0.0715 data_time: 0.0023 memory: 3208 2022/11/01 14:51:02 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:00:19 time: 0.0707 data_time: 0.0024 memory: 3208 2022/11/01 14:51:02 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:00:19 time: 0.0730 data_time: 0.0025 memory: 3208 2022/11/01 14:51:03 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:19 time: 0.0754 data_time: 0.0026 memory: 3208 2022/11/01 14:51:03 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:19 time: 0.0727 data_time: 0.0028 memory: 3208 2022/11/01 14:51:03 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:17 time: 0.0714 data_time: 0.0029 memory: 3208 2022/11/01 14:51:04 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:17 time: 0.0715 data_time: 0.0026 memory: 3208 2022/11/01 14:51:04 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:00:17 time: 0.0736 data_time: 0.0026 memory: 3208 2022/11/01 14:51:04 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:00:17 time: 0.0731 data_time: 0.0025 memory: 3208 2022/11/01 14:51:05 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:00:16 time: 0.0736 data_time: 0.0026 memory: 3208 2022/11/01 14:51:05 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:00:16 time: 0.0714 data_time: 0.0025 memory: 3208 2022/11/01 14:51:06 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:00:16 time: 0.0767 data_time: 0.0049 memory: 3208 2022/11/01 14:51:06 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:00:16 time: 0.0786 data_time: 0.0050 memory: 3208 2022/11/01 14:51:06 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:00:15 time: 0.0729 data_time: 0.0024 memory: 3208 2022/11/01 14:51:07 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:00:15 time: 0.0728 data_time: 0.0025 memory: 3208 2022/11/01 14:51:07 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:14 time: 0.0722 data_time: 0.0025 memory: 3208 2022/11/01 14:51:07 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:14 time: 0.0733 data_time: 0.0028 memory: 3208 2022/11/01 14:51:08 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:13 time: 0.0736 data_time: 0.0028 memory: 3208 2022/11/01 14:51:08 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:13 time: 0.0761 data_time: 0.0038 memory: 3208 2022/11/01 14:51:08 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:14 time: 0.0786 data_time: 0.0041 memory: 3208 2022/11/01 14:51:09 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:14 time: 0.0906 data_time: 0.0029 memory: 3208 2022/11/01 14:51:09 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:14 time: 0.0868 data_time: 0.0025 memory: 3208 2022/11/01 14:51:10 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:14 time: 0.0728 data_time: 0.0030 memory: 3208 2022/11/01 14:51:10 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:14 time: 0.0875 data_time: 0.0029 memory: 3208 2022/11/01 14:51:11 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:14 time: 0.0878 data_time: 0.0024 memory: 3208 2022/11/01 14:51:11 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:11 time: 0.0783 data_time: 0.0029 memory: 3208 2022/11/01 14:51:11 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:11 time: 0.0776 data_time: 0.0033 memory: 3208 2022/11/01 14:51:12 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:10 time: 0.0769 data_time: 0.0033 memory: 3208 2022/11/01 14:51:12 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:10 time: 0.0778 data_time: 0.0033 memory: 3208 2022/11/01 14:51:13 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:00:09 time: 0.0763 data_time: 0.0036 memory: 3208 2022/11/01 14:51:13 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:00:09 time: 0.0784 data_time: 0.0039 memory: 3208 2022/11/01 14:51:13 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:09 time: 0.0789 data_time: 0.0034 memory: 3208 2022/11/01 14:51:14 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:09 time: 0.0867 data_time: 0.0075 memory: 3208 2022/11/01 14:51:14 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:10 time: 0.0946 data_time: 0.0142 memory: 3208 2022/11/01 14:51:15 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:10 time: 0.0834 data_time: 0.0097 memory: 3208 2022/11/01 14:51:15 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:07 time: 0.0741 data_time: 0.0030 memory: 3208 2022/11/01 14:51:15 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:07 time: 0.0737 data_time: 0.0029 memory: 3208 2022/11/01 14:51:16 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:07 time: 0.0779 data_time: 0.0030 memory: 3208 2022/11/01 14:51:16 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:07 time: 0.0770 data_time: 0.0030 memory: 3208 2022/11/01 14:51:17 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:05 time: 0.0697 data_time: 0.0027 memory: 3208 2022/11/01 14:51:17 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:05 time: 0.0701 data_time: 0.0025 memory: 3208 2022/11/01 14:51:17 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:05 time: 0.0720 data_time: 0.0026 memory: 3208 2022/11/01 14:51:18 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:05 time: 0.0738 data_time: 0.0029 memory: 3208 2022/11/01 14:51:18 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:04 time: 0.0771 data_time: 0.0031 memory: 3208 2022/11/01 14:51:18 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:04 time: 0.0827 data_time: 0.0031 memory: 3208 2022/11/01 14:51:19 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:04 time: 0.0818 data_time: 0.0028 memory: 3208 2022/11/01 14:51:19 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:04 time: 0.0752 data_time: 0.0027 memory: 3208 2022/11/01 14:51:20 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:02 time: 0.0710 data_time: 0.0026 memory: 3208 2022/11/01 14:51:20 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:02 time: 0.0709 data_time: 0.0026 memory: 3208 2022/11/01 14:51:20 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:02 time: 0.0716 data_time: 0.0028 memory: 3208 2022/11/01 14:51:21 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:02 time: 0.0721 data_time: 0.0029 memory: 3208 2022/11/01 14:51:21 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:01 time: 0.0730 data_time: 0.0027 memory: 3208 2022/11/01 14:51:21 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:01 time: 0.0714 data_time: 0.0024 memory: 3208 2022/11/01 14:51:22 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0740 data_time: 0.0024 memory: 3208 2022/11/01 14:51:22 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0764 data_time: 0.0024 memory: 3208 2022/11/01 14:51:22 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.0722 data_time: 0.0025 memory: 3208 2022/11/01 14:51:23 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 14:51:23 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7684, precision: 0.7255, hmean: 0.7463 2022/11/01 14:51:23 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7684, precision: 0.7255, hmean: 0.7463 2022/11/01 14:51:23 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7684, precision: 0.7255, hmean: 0.7463 2022/11/01 14:51:23 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7684, precision: 0.7662, hmean: 0.7673 2022/11/01 14:51:23 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7684, precision: 0.8028, hmean: 0.7852 2022/11/01 14:51:23 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7607, precision: 0.8355, hmean: 0.7964 2022/11/01 14:51:23 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7126, precision: 0.8986, hmean: 0.7948 2022/11/01 14:51:23 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.8355 icdar/recall: 0.7607 icdar/hmean: 0.7964 2022/11/01 14:52:47 - mmengine - INFO - Epoch(train) [41][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 8.8728 data_time: 8.0137 memory: 27783 loss: 0.2352 loss_text: 0.1652 loss_kernel: 0.0700 2022/11/01 14:52:52 - mmengine - INFO - Epoch(train) [41][10/63] lr: 1.0000e-04 eta: 22:04:38 time: 8.9461 data_time: 8.0274 memory: 27783 loss: 0.2491 loss_text: 0.1739 loss_kernel: 0.0751 2022/11/01 14:52:57 - mmengine - INFO - Epoch(train) [41][15/63] lr: 1.0000e-04 eta: 22:04:38 time: 0.9369 data_time: 0.0210 memory: 27783 loss: 0.2417 loss_text: 0.1703 loss_kernel: 0.0714 2022/11/01 14:53:01 - mmengine - INFO - Epoch(train) [41][20/63] lr: 1.0000e-04 eta: 22:01:12 time: 0.9324 data_time: 0.0197 memory: 27783 loss: 0.2627 loss_text: 0.1871 loss_kernel: 0.0756 2022/11/01 14:53:06 - mmengine - INFO - Epoch(train) [41][25/63] lr: 1.0000e-04 eta: 22:01:12 time: 0.9781 data_time: 0.0314 memory: 27783 loss: 0.2528 loss_text: 0.1785 loss_kernel: 0.0743 2022/11/01 14:53:12 - mmengine - INFO - Epoch(train) [41][30/63] lr: 1.0000e-04 eta: 21:58:07 time: 1.0685 data_time: 0.0189 memory: 27783 loss: 0.2346 loss_text: 0.1646 loss_kernel: 0.0700 2022/11/01 14:53:17 - mmengine - INFO - Epoch(train) [41][35/63] lr: 1.0000e-04 eta: 21:58:07 time: 1.0660 data_time: 0.0196 memory: 27783 loss: 0.2770 loss_text: 0.1952 loss_kernel: 0.0817 2022/11/01 14:53:22 - mmengine - INFO - Epoch(train) [41][40/63] lr: 1.0000e-04 eta: 21:54:59 time: 1.0437 data_time: 0.0235 memory: 27783 loss: 0.3072 loss_text: 0.2160 loss_kernel: 0.0912 2022/11/01 14:53:27 - mmengine - INFO - Epoch(train) [41][45/63] lr: 1.0000e-04 eta: 21:54:59 time: 1.0202 data_time: 0.0204 memory: 27783 loss: 0.2959 loss_text: 0.2069 loss_kernel: 0.0889 2022/11/01 14:53:32 - mmengine - INFO - Epoch(train) [41][50/63] lr: 1.0000e-04 eta: 21:51:44 time: 0.9773 data_time: 0.0297 memory: 27783 loss: 0.2402 loss_text: 0.1678 loss_kernel: 0.0724 2022/11/01 14:53:37 - mmengine - INFO - Epoch(train) [41][55/63] lr: 1.0000e-04 eta: 21:51:44 time: 0.9585 data_time: 0.0193 memory: 27783 loss: 0.2466 loss_text: 0.1725 loss_kernel: 0.0741 2022/11/01 14:53:42 - mmengine - INFO - Epoch(train) [41][60/63] lr: 1.0000e-04 eta: 21:48:24 time: 0.9345 data_time: 0.0145 memory: 27783 loss: 0.3145 loss_text: 0.2210 loss_kernel: 0.0935 2022/11/01 14:53:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:55:10 - mmengine - INFO - Epoch(train) [42][5/63] lr: 1.0000e-04 eta: 21:48:24 time: 8.9739 data_time: 8.0676 memory: 27783 loss: 0.2746 loss_text: 0.1957 loss_kernel: 0.0789 2022/11/01 14:55:14 - mmengine - INFO - Epoch(train) [42][10/63] lr: 1.0000e-04 eta: 22:01:44 time: 9.0045 data_time: 8.0748 memory: 27783 loss: 0.2642 loss_text: 0.1855 loss_kernel: 0.0788 2022/11/01 14:55:19 - mmengine - INFO - Epoch(train) [42][15/63] lr: 1.0000e-04 eta: 22:01:44 time: 0.9417 data_time: 0.0239 memory: 27783 loss: 0.2925 loss_text: 0.2063 loss_kernel: 0.0862 2022/11/01 14:55:24 - mmengine - INFO - Epoch(train) [42][20/63] lr: 1.0000e-04 eta: 21:58:27 time: 0.9646 data_time: 0.0298 memory: 27783 loss: 0.2561 loss_text: 0.1808 loss_kernel: 0.0753 2022/11/01 14:55:29 - mmengine - INFO - Epoch(train) [42][25/63] lr: 1.0000e-04 eta: 21:58:27 time: 0.9659 data_time: 0.0200 memory: 27783 loss: 0.2464 loss_text: 0.1726 loss_kernel: 0.0738 2022/11/01 14:55:34 - mmengine - INFO - Epoch(train) [42][30/63] lr: 1.0000e-04 eta: 21:55:17 time: 0.9995 data_time: 0.0183 memory: 27783 loss: 0.2814 loss_text: 0.1983 loss_kernel: 0.0831 2022/11/01 14:55:39 - mmengine - INFO - Epoch(train) [42][35/63] lr: 1.0000e-04 eta: 21:55:17 time: 0.9995 data_time: 0.0243 memory: 27783 loss: 0.2883 loss_text: 0.2031 loss_kernel: 0.0852 2022/11/01 14:55:43 - mmengine - INFO - Epoch(train) [42][40/63] lr: 1.0000e-04 eta: 21:52:01 time: 0.9521 data_time: 0.0182 memory: 27783 loss: 0.2908 loss_text: 0.2026 loss_kernel: 0.0882 2022/11/01 14:55:48 - mmengine - INFO - Epoch(train) [42][45/63] lr: 1.0000e-04 eta: 21:52:01 time: 0.9463 data_time: 0.0250 memory: 27783 loss: 0.2715 loss_text: 0.1895 loss_kernel: 0.0820 2022/11/01 14:55:53 - mmengine - INFO - Epoch(train) [42][50/63] lr: 1.0000e-04 eta: 21:48:45 time: 0.9369 data_time: 0.0240 memory: 27783 loss: 0.2491 loss_text: 0.1746 loss_kernel: 0.0745 2022/11/01 14:55:57 - mmengine - INFO - Epoch(train) [42][55/63] lr: 1.0000e-04 eta: 21:48:45 time: 0.9191 data_time: 0.0158 memory: 27783 loss: 0.2617 loss_text: 0.1845 loss_kernel: 0.0771 2022/11/01 14:56:02 - mmengine - INFO - Epoch(train) [42][60/63] lr: 1.0000e-04 eta: 21:45:28 time: 0.9156 data_time: 0.0171 memory: 27783 loss: 0.2974 loss_text: 0.2109 loss_kernel: 0.0865 2022/11/01 14:56:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:57:30 - mmengine - INFO - Epoch(train) [43][5/63] lr: 1.0000e-04 eta: 21:45:28 time: 8.9602 data_time: 8.0397 memory: 27783 loss: 0.2818 loss_text: 0.1998 loss_kernel: 0.0821 2022/11/01 14:57:35 - mmengine - INFO - Epoch(train) [43][10/63] lr: 1.0000e-04 eta: 21:58:30 time: 9.0310 data_time: 8.0519 memory: 27783 loss: 0.2882 loss_text: 0.2019 loss_kernel: 0.0863 2022/11/01 14:57:39 - mmengine - INFO - Epoch(train) [43][15/63] lr: 1.0000e-04 eta: 21:58:30 time: 0.9471 data_time: 0.0214 memory: 27783 loss: 0.2522 loss_text: 0.1773 loss_kernel: 0.0749 2022/11/01 14:57:44 - mmengine - INFO - Epoch(train) [43][20/63] lr: 1.0000e-04 eta: 21:55:15 time: 0.9386 data_time: 0.0205 memory: 27783 loss: 0.2725 loss_text: 0.1920 loss_kernel: 0.0805 2022/11/01 14:57:49 - mmengine - INFO - Epoch(train) [43][25/63] lr: 1.0000e-04 eta: 21:55:15 time: 0.9621 data_time: 0.0334 memory: 27783 loss: 0.3054 loss_text: 0.2159 loss_kernel: 0.0896 2022/11/01 14:57:53 - mmengine - INFO - Epoch(train) [43][30/63] lr: 1.0000e-04 eta: 21:52:00 time: 0.9321 data_time: 0.0189 memory: 27783 loss: 0.2453 loss_text: 0.1717 loss_kernel: 0.0736 2022/11/01 14:57:58 - mmengine - INFO - Epoch(train) [43][35/63] lr: 1.0000e-04 eta: 21:52:00 time: 0.9194 data_time: 0.0215 memory: 27783 loss: 0.2249 loss_text: 0.1564 loss_kernel: 0.0685 2022/11/01 14:58:03 - mmengine - INFO - Epoch(train) [43][40/63] lr: 1.0000e-04 eta: 21:48:53 time: 0.9785 data_time: 0.0227 memory: 27783 loss: 0.2678 loss_text: 0.1879 loss_kernel: 0.0799 2022/11/01 14:58:08 - mmengine - INFO - Epoch(train) [43][45/63] lr: 1.0000e-04 eta: 21:48:53 time: 1.0112 data_time: 0.0185 memory: 27783 loss: 0.2885 loss_text: 0.2016 loss_kernel: 0.0869 2022/11/01 14:58:13 - mmengine - INFO - Epoch(train) [43][50/63] lr: 1.0000e-04 eta: 21:45:46 time: 0.9775 data_time: 0.0295 memory: 27783 loss: 0.2844 loss_text: 0.1982 loss_kernel: 0.0862 2022/11/01 14:58:18 - mmengine - INFO - Epoch(train) [43][55/63] lr: 1.0000e-04 eta: 21:45:46 time: 0.9676 data_time: 0.0179 memory: 27783 loss: 0.2409 loss_text: 0.1664 loss_kernel: 0.0745 2022/11/01 14:58:22 - mmengine - INFO - Epoch(train) [43][60/63] lr: 1.0000e-04 eta: 21:42:38 time: 0.9528 data_time: 0.0136 memory: 27783 loss: 0.2659 loss_text: 0.1851 loss_kernel: 0.0808 2022/11/01 14:58:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 14:59:50 - mmengine - INFO - Epoch(train) [44][5/63] lr: 1.0000e-04 eta: 21:42:38 time: 8.9210 data_time: 8.0438 memory: 27783 loss: 0.2558 loss_text: 0.1800 loss_kernel: 0.0758 2022/11/01 14:59:55 - mmengine - INFO - Epoch(train) [44][10/63] lr: 1.0000e-04 eta: 21:55:22 time: 9.0406 data_time: 8.0583 memory: 27783 loss: 0.2539 loss_text: 0.1776 loss_kernel: 0.0763 2022/11/01 15:00:01 - mmengine - INFO - Epoch(train) [44][15/63] lr: 1.0000e-04 eta: 21:55:22 time: 1.0723 data_time: 0.0246 memory: 27783 loss: 0.2602 loss_text: 0.1822 loss_kernel: 0.0780 2022/11/01 15:00:05 - mmengine - INFO - Epoch(train) [44][20/63] lr: 1.0000e-04 eta: 21:52:22 time: 1.0202 data_time: 0.0232 memory: 27783 loss: 0.2488 loss_text: 0.1760 loss_kernel: 0.0728 2022/11/01 15:00:10 - mmengine - INFO - Epoch(train) [44][25/63] lr: 1.0000e-04 eta: 21:52:22 time: 0.9332 data_time: 0.0193 memory: 27783 loss: 0.2691 loss_text: 0.1899 loss_kernel: 0.0791 2022/11/01 15:00:15 - mmengine - INFO - Epoch(train) [44][30/63] lr: 1.0000e-04 eta: 21:49:12 time: 0.9403 data_time: 0.0368 memory: 27783 loss: 0.2845 loss_text: 0.2007 loss_kernel: 0.0838 2022/11/01 15:00:20 - mmengine - INFO - Epoch(train) [44][35/63] lr: 1.0000e-04 eta: 21:49:12 time: 0.9698 data_time: 0.0477 memory: 27783 loss: 0.2331 loss_text: 0.1657 loss_kernel: 0.0674 2022/11/01 15:00:24 - mmengine - INFO - Epoch(train) [44][40/63] lr: 1.0000e-04 eta: 21:46:03 time: 0.9371 data_time: 0.0209 memory: 27783 loss: 0.2267 loss_text: 0.1609 loss_kernel: 0.0658 2022/11/01 15:00:29 - mmengine - INFO - Epoch(train) [44][45/63] lr: 1.0000e-04 eta: 21:46:03 time: 0.9668 data_time: 0.0171 memory: 27783 loss: 0.2773 loss_text: 0.1946 loss_kernel: 0.0827 2022/11/01 15:00:34 - mmengine - INFO - Epoch(train) [44][50/63] lr: 1.0000e-04 eta: 21:43:03 time: 0.9912 data_time: 0.0221 memory: 27783 loss: 0.2980 loss_text: 0.2089 loss_kernel: 0.0891 2022/11/01 15:00:39 - mmengine - INFO - Epoch(train) [44][55/63] lr: 1.0000e-04 eta: 21:43:03 time: 0.9467 data_time: 0.0189 memory: 27783 loss: 0.2975 loss_text: 0.2107 loss_kernel: 0.0868 2022/11/01 15:00:44 - mmengine - INFO - Epoch(train) [44][60/63] lr: 1.0000e-04 eta: 21:40:00 time: 0.9628 data_time: 0.0181 memory: 27783 loss: 0.2566 loss_text: 0.1825 loss_kernel: 0.0741 2022/11/01 15:00:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:02:11 - mmengine - INFO - Epoch(train) [45][5/63] lr: 1.0000e-04 eta: 21:40:00 time: 8.9316 data_time: 8.0286 memory: 27783 loss: 0.3036 loss_text: 0.2151 loss_kernel: 0.0885 2022/11/01 15:02:16 - mmengine - INFO - Epoch(train) [45][10/63] lr: 1.0000e-04 eta: 21:52:18 time: 8.9832 data_time: 8.0402 memory: 27783 loss: 0.2656 loss_text: 0.1887 loss_kernel: 0.0769 2022/11/01 15:02:21 - mmengine - INFO - Epoch(train) [45][15/63] lr: 1.0000e-04 eta: 21:52:18 time: 0.9542 data_time: 0.0210 memory: 27783 loss: 0.2430 loss_text: 0.1716 loss_kernel: 0.0715 2022/11/01 15:02:26 - mmengine - INFO - Epoch(train) [45][20/63] lr: 1.0000e-04 eta: 21:49:19 time: 0.9996 data_time: 0.0482 memory: 27783 loss: 0.2837 loss_text: 0.1999 loss_kernel: 0.0838 2022/11/01 15:02:31 - mmengine - INFO - Epoch(train) [45][25/63] lr: 1.0000e-04 eta: 21:49:19 time: 0.9894 data_time: 0.0650 memory: 27783 loss: 0.2596 loss_text: 0.1832 loss_kernel: 0.0764 2022/11/01 15:02:36 - mmengine - INFO - Epoch(train) [45][30/63] lr: 1.0000e-04 eta: 21:46:18 time: 0.9802 data_time: 0.0297 memory: 27783 loss: 0.2170 loss_text: 0.1514 loss_kernel: 0.0656 2022/11/01 15:02:41 - mmengine - INFO - Epoch(train) [45][35/63] lr: 1.0000e-04 eta: 21:46:18 time: 0.9863 data_time: 0.0406 memory: 27783 loss: 0.2691 loss_text: 0.1863 loss_kernel: 0.0828 2022/11/01 15:02:46 - mmengine - INFO - Epoch(train) [45][40/63] lr: 1.0000e-04 eta: 21:43:19 time: 0.9780 data_time: 0.0413 memory: 27783 loss: 0.2711 loss_text: 0.1893 loss_kernel: 0.0818 2022/11/01 15:02:51 - mmengine - INFO - Epoch(train) [45][45/63] lr: 1.0000e-04 eta: 21:43:19 time: 0.9839 data_time: 0.0224 memory: 27783 loss: 0.2577 loss_text: 0.1816 loss_kernel: 0.0761 2022/11/01 15:02:55 - mmengine - INFO - Epoch(train) [45][50/63] lr: 1.0000e-04 eta: 21:40:17 time: 0.9472 data_time: 0.0284 memory: 27783 loss: 0.2982 loss_text: 0.2097 loss_kernel: 0.0885 2022/11/01 15:03:00 - mmengine - INFO - Epoch(train) [45][55/63] lr: 1.0000e-04 eta: 21:40:17 time: 0.9532 data_time: 0.0180 memory: 27783 loss: 0.2993 loss_text: 0.2100 loss_kernel: 0.0892 2022/11/01 15:03:05 - mmengine - INFO - Epoch(train) [45][60/63] lr: 1.0000e-04 eta: 21:37:18 time: 0.9606 data_time: 0.0166 memory: 27783 loss: 0.2818 loss_text: 0.1954 loss_kernel: 0.0864 2022/11/01 15:03:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:04:33 - mmengine - INFO - Epoch(train) [46][5/63] lr: 1.0000e-04 eta: 21:37:18 time: 8.9725 data_time: 8.0394 memory: 27783 loss: 0.2579 loss_text: 0.1817 loss_kernel: 0.0762 2022/11/01 15:04:38 - mmengine - INFO - Epoch(train) [46][10/63] lr: 1.0000e-04 eta: 21:49:31 time: 9.0992 data_time: 8.0582 memory: 27783 loss: 0.2510 loss_text: 0.1775 loss_kernel: 0.0735 2022/11/01 15:04:43 - mmengine - INFO - Epoch(train) [46][15/63] lr: 1.0000e-04 eta: 21:49:31 time: 1.0168 data_time: 0.0246 memory: 27783 loss: 0.2462 loss_text: 0.1734 loss_kernel: 0.0728 2022/11/01 15:04:48 - mmengine - INFO - Epoch(train) [46][20/63] lr: 1.0000e-04 eta: 21:46:30 time: 0.9505 data_time: 0.0145 memory: 27783 loss: 0.2773 loss_text: 0.1938 loss_kernel: 0.0834 2022/11/01 15:04:52 - mmengine - INFO - Epoch(train) [46][25/63] lr: 1.0000e-04 eta: 21:46:30 time: 0.9397 data_time: 0.0253 memory: 27783 loss: 0.2817 loss_text: 0.1955 loss_kernel: 0.0862 2022/11/01 15:04:57 - mmengine - INFO - Epoch(train) [46][30/63] lr: 1.0000e-04 eta: 21:43:29 time: 0.9385 data_time: 0.0170 memory: 27783 loss: 0.2376 loss_text: 0.1658 loss_kernel: 0.0718 2022/11/01 15:05:02 - mmengine - INFO - Epoch(train) [46][35/63] lr: 1.0000e-04 eta: 21:43:29 time: 0.9586 data_time: 0.0186 memory: 27783 loss: 0.2106 loss_text: 0.1486 loss_kernel: 0.0619 2022/11/01 15:05:07 - mmengine - INFO - Epoch(train) [46][40/63] lr: 1.0000e-04 eta: 21:40:31 time: 0.9586 data_time: 0.0195 memory: 27783 loss: 0.2350 loss_text: 0.1660 loss_kernel: 0.0690 2022/11/01 15:05:12 - mmengine - INFO - Epoch(train) [46][45/63] lr: 1.0000e-04 eta: 21:40:31 time: 0.9830 data_time: 0.0165 memory: 27783 loss: 0.2466 loss_text: 0.1726 loss_kernel: 0.0740 2022/11/01 15:05:17 - mmengine - INFO - Epoch(train) [46][50/63] lr: 1.0000e-04 eta: 21:37:47 time: 1.0704 data_time: 0.0309 memory: 27783 loss: 0.2843 loss_text: 0.1993 loss_kernel: 0.0850 2022/11/01 15:05:22 - mmengine - INFO - Epoch(train) [46][55/63] lr: 1.0000e-04 eta: 21:37:47 time: 1.0050 data_time: 0.0215 memory: 27783 loss: 0.3046 loss_text: 0.2135 loss_kernel: 0.0911 2022/11/01 15:05:27 - mmengine - INFO - Epoch(train) [46][60/63] lr: 1.0000e-04 eta: 21:34:49 time: 0.9326 data_time: 0.0136 memory: 27783 loss: 0.2891 loss_text: 0.2030 loss_kernel: 0.0861 2022/11/01 15:05:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:06:54 - mmengine - INFO - Epoch(train) [47][5/63] lr: 1.0000e-04 eta: 21:34:49 time: 8.8980 data_time: 8.0240 memory: 27783 loss: 0.2957 loss_text: 0.2084 loss_kernel: 0.0872 2022/11/01 15:06:59 - mmengine - INFO - Epoch(train) [47][10/63] lr: 1.0000e-04 eta: 21:46:28 time: 8.9664 data_time: 8.0323 memory: 27783 loss: 0.2686 loss_text: 0.1893 loss_kernel: 0.0793 2022/11/01 15:07:03 - mmengine - INFO - Epoch(train) [47][15/63] lr: 1.0000e-04 eta: 21:46:28 time: 0.9479 data_time: 0.0186 memory: 27783 loss: 0.2536 loss_text: 0.1791 loss_kernel: 0.0745 2022/11/01 15:07:08 - mmengine - INFO - Epoch(train) [47][20/63] lr: 1.0000e-04 eta: 21:43:31 time: 0.9500 data_time: 0.0191 memory: 27783 loss: 0.2480 loss_text: 0.1743 loss_kernel: 0.0736 2022/11/01 15:07:13 - mmengine - INFO - Epoch(train) [47][25/63] lr: 1.0000e-04 eta: 21:43:31 time: 0.9330 data_time: 0.0241 memory: 27783 loss: 0.2161 loss_text: 0.1500 loss_kernel: 0.0661 2022/11/01 15:07:17 - mmengine - INFO - Epoch(train) [47][30/63] lr: 1.0000e-04 eta: 21:40:30 time: 0.9105 data_time: 0.0211 memory: 27783 loss: 0.2186 loss_text: 0.1525 loss_kernel: 0.0661 2022/11/01 15:07:22 - mmengine - INFO - Epoch(train) [47][35/63] lr: 1.0000e-04 eta: 21:40:30 time: 0.9118 data_time: 0.0201 memory: 27783 loss: 0.2404 loss_text: 0.1696 loss_kernel: 0.0708 2022/11/01 15:07:26 - mmengine - INFO - Epoch(train) [47][40/63] lr: 1.0000e-04 eta: 21:37:30 time: 0.9112 data_time: 0.0177 memory: 27783 loss: 0.2224 loss_text: 0.1566 loss_kernel: 0.0658 2022/11/01 15:07:31 - mmengine - INFO - Epoch(train) [47][45/63] lr: 1.0000e-04 eta: 21:37:30 time: 0.9513 data_time: 0.0267 memory: 27783 loss: 0.2296 loss_text: 0.1633 loss_kernel: 0.0662 2022/11/01 15:07:36 - mmengine - INFO - Epoch(train) [47][50/63] lr: 1.0000e-04 eta: 21:34:39 time: 0.9760 data_time: 0.0321 memory: 27783 loss: 0.2550 loss_text: 0.1801 loss_kernel: 0.0750 2022/11/01 15:07:41 - mmengine - INFO - Epoch(train) [47][55/63] lr: 1.0000e-04 eta: 21:34:39 time: 0.9705 data_time: 0.0162 memory: 27783 loss: 0.2895 loss_text: 0.2010 loss_kernel: 0.0886 2022/11/01 15:07:46 - mmengine - INFO - Epoch(train) [47][60/63] lr: 1.0000e-04 eta: 21:31:46 time: 0.9477 data_time: 0.0129 memory: 27783 loss: 0.2681 loss_text: 0.1858 loss_kernel: 0.0823 2022/11/01 15:07:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:09:13 - mmengine - INFO - Epoch(train) [48][5/63] lr: 1.0000e-04 eta: 21:31:46 time: 8.9372 data_time: 8.0303 memory: 27783 loss: 0.2565 loss_text: 0.1790 loss_kernel: 0.0776 2022/11/01 15:09:18 - mmengine - INFO - Epoch(train) [48][10/63] lr: 1.0000e-04 eta: 21:43:13 time: 8.9940 data_time: 8.0442 memory: 27783 loss: 0.2479 loss_text: 0.1738 loss_kernel: 0.0741 2022/11/01 15:09:23 - mmengine - INFO - Epoch(train) [48][15/63] lr: 1.0000e-04 eta: 21:43:13 time: 0.9692 data_time: 0.0211 memory: 27783 loss: 0.2515 loss_text: 0.1777 loss_kernel: 0.0737 2022/11/01 15:09:28 - mmengine - INFO - Epoch(train) [48][20/63] lr: 1.0000e-04 eta: 21:40:23 time: 0.9900 data_time: 0.0241 memory: 27783 loss: 0.2494 loss_text: 0.1758 loss_kernel: 0.0736 2022/11/01 15:09:34 - mmengine - INFO - Epoch(train) [48][25/63] lr: 1.0000e-04 eta: 21:40:23 time: 1.0716 data_time: 0.0437 memory: 27783 loss: 0.2267 loss_text: 0.1591 loss_kernel: 0.0676 2022/11/01 15:09:38 - mmengine - INFO - Epoch(train) [48][30/63] lr: 1.0000e-04 eta: 21:37:39 time: 1.0245 data_time: 0.0255 memory: 27783 loss: 0.2699 loss_text: 0.1899 loss_kernel: 0.0800 2022/11/01 15:09:43 - mmengine - INFO - Epoch(train) [48][35/63] lr: 1.0000e-04 eta: 21:37:39 time: 0.9555 data_time: 0.0210 memory: 27783 loss: 0.2492 loss_text: 0.1756 loss_kernel: 0.0736 2022/11/01 15:09:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:09:48 - mmengine - INFO - Epoch(train) [48][40/63] lr: 1.0000e-04 eta: 21:34:51 time: 0.9744 data_time: 0.0240 memory: 27783 loss: 0.2295 loss_text: 0.1643 loss_kernel: 0.0652 2022/11/01 15:09:53 - mmengine - INFO - Epoch(train) [48][45/63] lr: 1.0000e-04 eta: 21:34:51 time: 0.9970 data_time: 0.0276 memory: 27783 loss: 0.2397 loss_text: 0.1704 loss_kernel: 0.0694 2022/11/01 15:09:58 - mmengine - INFO - Epoch(train) [48][50/63] lr: 1.0000e-04 eta: 21:32:07 time: 1.0105 data_time: 0.0354 memory: 27783 loss: 0.2481 loss_text: 0.1723 loss_kernel: 0.0758 2022/11/01 15:10:04 - mmengine - INFO - Epoch(train) [48][55/63] lr: 1.0000e-04 eta: 21:32:07 time: 1.0356 data_time: 0.0167 memory: 27783 loss: 0.2465 loss_text: 0.1725 loss_kernel: 0.0740 2022/11/01 15:10:09 - mmengine - INFO - Epoch(train) [48][60/63] lr: 1.0000e-04 eta: 21:29:27 time: 1.0326 data_time: 0.0168 memory: 27783 loss: 0.2626 loss_text: 0.1834 loss_kernel: 0.0793 2022/11/01 15:10:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:11:37 - mmengine - INFO - Epoch(train) [49][5/63] lr: 1.0000e-04 eta: 21:29:27 time: 9.0385 data_time: 8.0323 memory: 27783 loss: 0.2226 loss_text: 0.1578 loss_kernel: 0.0647 2022/11/01 15:11:42 - mmengine - INFO - Epoch(train) [49][10/63] lr: 1.0000e-04 eta: 21:40:39 time: 9.0109 data_time: 8.0537 memory: 27783 loss: 0.2279 loss_text: 0.1608 loss_kernel: 0.0671 2022/11/01 15:11:47 - mmengine - INFO - Epoch(train) [49][15/63] lr: 1.0000e-04 eta: 21:40:39 time: 0.9386 data_time: 0.0300 memory: 27783 loss: 0.2807 loss_text: 0.1952 loss_kernel: 0.0855 2022/11/01 15:11:51 - mmengine - INFO - Epoch(train) [49][20/63] lr: 1.0000e-04 eta: 21:37:49 time: 0.9524 data_time: 0.0302 memory: 27783 loss: 0.3199 loss_text: 0.2238 loss_kernel: 0.0961 2022/11/01 15:11:56 - mmengine - INFO - Epoch(train) [49][25/63] lr: 1.0000e-04 eta: 21:37:49 time: 0.9611 data_time: 0.0346 memory: 27783 loss: 0.2873 loss_text: 0.2029 loss_kernel: 0.0844 2022/11/01 15:12:02 - mmengine - INFO - Epoch(train) [49][30/63] lr: 1.0000e-04 eta: 21:35:14 time: 1.0707 data_time: 0.0185 memory: 27783 loss: 0.2876 loss_text: 0.2025 loss_kernel: 0.0851 2022/11/01 15:12:07 - mmengine - INFO - Epoch(train) [49][35/63] lr: 1.0000e-04 eta: 21:35:14 time: 1.0922 data_time: 0.0260 memory: 27783 loss: 0.2862 loss_text: 0.2003 loss_kernel: 0.0859 2022/11/01 15:12:12 - mmengine - INFO - Epoch(train) [49][40/63] lr: 1.0000e-04 eta: 21:32:25 time: 0.9442 data_time: 0.0217 memory: 27783 loss: 0.2539 loss_text: 0.1778 loss_kernel: 0.0761 2022/11/01 15:12:17 - mmengine - INFO - Epoch(train) [49][45/63] lr: 1.0000e-04 eta: 21:32:25 time: 0.9535 data_time: 0.0164 memory: 27783 loss: 0.2374 loss_text: 0.1652 loss_kernel: 0.0722 2022/11/01 15:12:22 - mmengine - INFO - Epoch(train) [49][50/63] lr: 1.0000e-04 eta: 21:29:44 time: 1.0036 data_time: 0.0254 memory: 27783 loss: 0.2462 loss_text: 0.1721 loss_kernel: 0.0741 2022/11/01 15:12:26 - mmengine - INFO - Epoch(train) [49][55/63] lr: 1.0000e-04 eta: 21:29:44 time: 0.9480 data_time: 0.0171 memory: 27783 loss: 0.2765 loss_text: 0.1929 loss_kernel: 0.0836 2022/11/01 15:12:31 - mmengine - INFO - Epoch(train) [49][60/63] lr: 1.0000e-04 eta: 21:26:52 time: 0.8993 data_time: 0.0143 memory: 27783 loss: 0.2647 loss_text: 0.1848 loss_kernel: 0.0799 2022/11/01 15:12:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:13:59 - mmengine - INFO - Epoch(train) [50][5/63] lr: 1.0000e-04 eta: 21:26:52 time: 9.0105 data_time: 8.0409 memory: 27783 loss: 0.2387 loss_text: 0.1666 loss_kernel: 0.0721 2022/11/01 15:14:04 - mmengine - INFO - Epoch(train) [50][10/63] lr: 1.0000e-04 eta: 21:37:59 time: 9.0995 data_time: 8.0611 memory: 27783 loss: 0.2470 loss_text: 0.1729 loss_kernel: 0.0741 2022/11/01 15:14:09 - mmengine - INFO - Epoch(train) [50][15/63] lr: 1.0000e-04 eta: 21:37:59 time: 0.9695 data_time: 0.0283 memory: 27783 loss: 0.2534 loss_text: 0.1758 loss_kernel: 0.0775 2022/11/01 15:14:14 - mmengine - INFO - Epoch(train) [50][20/63] lr: 1.0000e-04 eta: 21:35:15 time: 0.9743 data_time: 0.0252 memory: 27783 loss: 0.2692 loss_text: 0.1869 loss_kernel: 0.0823 2022/11/01 15:14:19 - mmengine - INFO - Epoch(train) [50][25/63] lr: 1.0000e-04 eta: 21:35:15 time: 0.9928 data_time: 0.0340 memory: 27783 loss: 0.2474 loss_text: 0.1724 loss_kernel: 0.0750 2022/11/01 15:14:23 - mmengine - INFO - Epoch(train) [50][30/63] lr: 1.0000e-04 eta: 21:32:28 time: 0.9417 data_time: 0.0176 memory: 27783 loss: 0.2604 loss_text: 0.1822 loss_kernel: 0.0781 2022/11/01 15:14:28 - mmengine - INFO - Epoch(train) [50][35/63] lr: 1.0000e-04 eta: 21:32:28 time: 0.9145 data_time: 0.0185 memory: 27783 loss: 0.2640 loss_text: 0.1847 loss_kernel: 0.0792 2022/11/01 15:14:32 - mmengine - INFO - Epoch(train) [50][40/63] lr: 1.0000e-04 eta: 21:29:38 time: 0.9110 data_time: 0.0194 memory: 27783 loss: 0.2941 loss_text: 0.2066 loss_kernel: 0.0876 2022/11/01 15:14:37 - mmengine - INFO - Epoch(train) [50][45/63] lr: 1.0000e-04 eta: 21:29:38 time: 0.9443 data_time: 0.0211 memory: 27783 loss: 0.3147 loss_text: 0.2194 loss_kernel: 0.0953 2022/11/01 15:14:42 - mmengine - INFO - Epoch(train) [50][50/63] lr: 1.0000e-04 eta: 21:26:57 time: 0.9688 data_time: 0.0322 memory: 27783 loss: 0.2659 loss_text: 0.1852 loss_kernel: 0.0807 2022/11/01 15:14:47 - mmengine - INFO - Epoch(train) [50][55/63] lr: 1.0000e-04 eta: 21:26:57 time: 0.9227 data_time: 0.0181 memory: 27783 loss: 0.2751 loss_text: 0.1924 loss_kernel: 0.0827 2022/11/01 15:14:51 - mmengine - INFO - Epoch(train) [50][60/63] lr: 1.0000e-04 eta: 21:24:08 time: 0.9029 data_time: 0.0149 memory: 27783 loss: 0.3020 loss_text: 0.2099 loss_kernel: 0.0921 2022/11/01 15:14:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:16:20 - mmengine - INFO - Epoch(train) [51][5/63] lr: 1.0000e-04 eta: 21:24:08 time: 9.0290 data_time: 8.0745 memory: 27783 loss: 0.2118 loss_text: 0.1453 loss_kernel: 0.0665 2022/11/01 15:16:24 - mmengine - INFO - Epoch(train) [51][10/63] lr: 1.0000e-04 eta: 21:34:56 time: 9.0640 data_time: 8.0876 memory: 27783 loss: 0.2632 loss_text: 0.1832 loss_kernel: 0.0800 2022/11/01 15:16:30 - mmengine - INFO - Epoch(train) [51][15/63] lr: 1.0000e-04 eta: 21:34:56 time: 1.0115 data_time: 0.0216 memory: 27783 loss: 0.2665 loss_text: 0.1877 loss_kernel: 0.0789 2022/11/01 15:16:35 - mmengine - INFO - Epoch(train) [51][20/63] lr: 1.0000e-04 eta: 21:32:23 time: 1.0440 data_time: 0.0193 memory: 27783 loss: 0.2611 loss_text: 0.1821 loss_kernel: 0.0790 2022/11/01 15:16:40 - mmengine - INFO - Epoch(train) [51][25/63] lr: 1.0000e-04 eta: 21:32:23 time: 0.9768 data_time: 0.0272 memory: 27783 loss: 0.2566 loss_text: 0.1797 loss_kernel: 0.0769 2022/11/01 15:16:44 - mmengine - INFO - Epoch(train) [51][30/63] lr: 1.0000e-04 eta: 21:29:40 time: 0.9520 data_time: 0.0202 memory: 27783 loss: 0.2645 loss_text: 0.1856 loss_kernel: 0.0788 2022/11/01 15:16:49 - mmengine - INFO - Epoch(train) [51][35/63] lr: 1.0000e-04 eta: 21:29:40 time: 0.9696 data_time: 0.0220 memory: 27783 loss: 0.2478 loss_text: 0.1748 loss_kernel: 0.0730 2022/11/01 15:16:54 - mmengine - INFO - Epoch(train) [51][40/63] lr: 1.0000e-04 eta: 21:27:01 time: 0.9757 data_time: 0.0205 memory: 27783 loss: 0.2373 loss_text: 0.1683 loss_kernel: 0.0690 2022/11/01 15:16:59 - mmengine - INFO - Epoch(train) [51][45/63] lr: 1.0000e-04 eta: 21:27:01 time: 0.9619 data_time: 0.0194 memory: 27783 loss: 0.2787 loss_text: 0.1943 loss_kernel: 0.0844 2022/11/01 15:17:04 - mmengine - INFO - Epoch(train) [51][50/63] lr: 1.0000e-04 eta: 21:24:21 time: 0.9549 data_time: 0.0254 memory: 27783 loss: 0.2733 loss_text: 0.1903 loss_kernel: 0.0830 2022/11/01 15:17:08 - mmengine - INFO - Epoch(train) [51][55/63] lr: 1.0000e-04 eta: 21:24:21 time: 0.9444 data_time: 0.0182 memory: 27783 loss: 0.2685 loss_text: 0.1878 loss_kernel: 0.0806 2022/11/01 15:17:14 - mmengine - INFO - Epoch(train) [51][60/63] lr: 1.0000e-04 eta: 21:21:48 time: 1.0110 data_time: 0.0198 memory: 27783 loss: 0.2557 loss_text: 0.1796 loss_kernel: 0.0761 2022/11/01 15:17:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:18:41 - mmengine - INFO - Epoch(train) [52][5/63] lr: 1.0000e-04 eta: 21:21:48 time: 8.9386 data_time: 8.0384 memory: 27783 loss: 0.2579 loss_text: 0.1816 loss_kernel: 0.0762 2022/11/01 15:18:46 - mmengine - INFO - Epoch(train) [52][10/63] lr: 1.0000e-04 eta: 21:32:15 time: 9.0106 data_time: 8.0524 memory: 27783 loss: 0.2506 loss_text: 0.1780 loss_kernel: 0.0726 2022/11/01 15:18:51 - mmengine - INFO - Epoch(train) [52][15/63] lr: 1.0000e-04 eta: 21:32:15 time: 0.9632 data_time: 0.0213 memory: 27783 loss: 0.2696 loss_text: 0.1915 loss_kernel: 0.0780 2022/11/01 15:18:56 - mmengine - INFO - Epoch(train) [52][20/63] lr: 1.0000e-04 eta: 21:29:33 time: 0.9383 data_time: 0.0179 memory: 27783 loss: 0.2732 loss_text: 0.1926 loss_kernel: 0.0806 2022/11/01 15:19:00 - mmengine - INFO - Epoch(train) [52][25/63] lr: 1.0000e-04 eta: 21:29:33 time: 0.9380 data_time: 0.0292 memory: 27783 loss: 0.2650 loss_text: 0.1842 loss_kernel: 0.0808 2022/11/01 15:19:05 - mmengine - INFO - Epoch(train) [52][30/63] lr: 1.0000e-04 eta: 21:26:53 time: 0.9439 data_time: 0.0187 memory: 27783 loss: 0.2541 loss_text: 0.1759 loss_kernel: 0.0781 2022/11/01 15:19:10 - mmengine - INFO - Epoch(train) [52][35/63] lr: 1.0000e-04 eta: 21:26:53 time: 0.9843 data_time: 0.0229 memory: 27783 loss: 0.2481 loss_text: 0.1746 loss_kernel: 0.0734 2022/11/01 15:19:15 - mmengine - INFO - Epoch(train) [52][40/63] lr: 1.0000e-04 eta: 21:24:24 time: 1.0397 data_time: 0.0270 memory: 27783 loss: 0.2327 loss_text: 0.1646 loss_kernel: 0.0681 2022/11/01 15:19:21 - mmengine - INFO - Epoch(train) [52][45/63] lr: 1.0000e-04 eta: 21:24:24 time: 1.0375 data_time: 0.0228 memory: 27783 loss: 0.2304 loss_text: 0.1624 loss_kernel: 0.0680 2022/11/01 15:19:25 - mmengine - INFO - Epoch(train) [52][50/63] lr: 1.0000e-04 eta: 21:21:48 time: 0.9690 data_time: 0.0259 memory: 27783 loss: 0.2690 loss_text: 0.1890 loss_kernel: 0.0799 2022/11/01 15:19:30 - mmengine - INFO - Epoch(train) [52][55/63] lr: 1.0000e-04 eta: 21:21:48 time: 0.9081 data_time: 0.0148 memory: 27783 loss: 0.2961 loss_text: 0.2050 loss_kernel: 0.0911 2022/11/01 15:19:34 - mmengine - INFO - Epoch(train) [52][60/63] lr: 1.0000e-04 eta: 21:19:09 time: 0.9261 data_time: 0.0203 memory: 27783 loss: 0.2427 loss_text: 0.1684 loss_kernel: 0.0743 2022/11/01 15:19:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:21:03 - mmengine - INFO - Epoch(train) [53][5/63] lr: 1.0000e-04 eta: 21:19:09 time: 9.0408 data_time: 8.0440 memory: 27783 loss: 0.2508 loss_text: 0.1757 loss_kernel: 0.0751 2022/11/01 15:21:08 - mmengine - INFO - Epoch(train) [53][10/63] lr: 1.0000e-04 eta: 21:29:28 time: 9.0592 data_time: 8.0498 memory: 27783 loss: 0.2466 loss_text: 0.1721 loss_kernel: 0.0745 2022/11/01 15:21:13 - mmengine - INFO - Epoch(train) [53][15/63] lr: 1.0000e-04 eta: 21:29:28 time: 0.9775 data_time: 0.0180 memory: 27783 loss: 0.2619 loss_text: 0.1832 loss_kernel: 0.0786 2022/11/01 15:21:18 - mmengine - INFO - Epoch(train) [53][20/63] lr: 1.0000e-04 eta: 21:26:55 time: 0.9973 data_time: 0.0279 memory: 27783 loss: 0.2451 loss_text: 0.1714 loss_kernel: 0.0737 2022/11/01 15:21:22 - mmengine - INFO - Epoch(train) [53][25/63] lr: 1.0000e-04 eta: 21:26:55 time: 0.9465 data_time: 0.0238 memory: 27783 loss: 0.1990 loss_text: 0.1391 loss_kernel: 0.0599 2022/11/01 15:21:27 - mmengine - INFO - Epoch(train) [53][30/63] lr: 1.0000e-04 eta: 21:24:18 time: 0.9517 data_time: 0.0178 memory: 27783 loss: 0.1832 loss_text: 0.1286 loss_kernel: 0.0545 2022/11/01 15:21:32 - mmengine - INFO - Epoch(train) [53][35/63] lr: 1.0000e-04 eta: 21:24:18 time: 0.9812 data_time: 0.0288 memory: 27783 loss: 0.2748 loss_text: 0.1924 loss_kernel: 0.0824 2022/11/01 15:21:37 - mmengine - INFO - Epoch(train) [53][40/63] lr: 1.0000e-04 eta: 21:21:44 time: 0.9632 data_time: 0.0275 memory: 27783 loss: 0.3334 loss_text: 0.2363 loss_kernel: 0.0971 2022/11/01 15:21:42 - mmengine - INFO - Epoch(train) [53][45/63] lr: 1.0000e-04 eta: 21:21:44 time: 0.9884 data_time: 0.0281 memory: 27783 loss: 0.2935 loss_text: 0.2082 loss_kernel: 0.0853 2022/11/01 15:21:47 - mmengine - INFO - Epoch(train) [53][50/63] lr: 1.0000e-04 eta: 21:19:14 time: 0.9944 data_time: 0.0233 memory: 27783 loss: 0.2680 loss_text: 0.1879 loss_kernel: 0.0801 2022/11/01 15:21:52 - mmengine - INFO - Epoch(train) [53][55/63] lr: 1.0000e-04 eta: 21:19:14 time: 0.9705 data_time: 0.0151 memory: 27783 loss: 0.2459 loss_text: 0.1753 loss_kernel: 0.0706 2022/11/01 15:21:56 - mmengine - INFO - Epoch(train) [53][60/63] lr: 1.0000e-04 eta: 21:16:40 time: 0.9575 data_time: 0.0184 memory: 27783 loss: 0.2496 loss_text: 0.1779 loss_kernel: 0.0717 2022/11/01 15:21:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:23:24 - mmengine - INFO - Epoch(train) [54][5/63] lr: 1.0000e-04 eta: 21:16:40 time: 8.9754 data_time: 8.0457 memory: 27783 loss: 0.2527 loss_text: 0.1768 loss_kernel: 0.0759 2022/11/01 15:23:29 - mmengine - INFO - Epoch(train) [54][10/63] lr: 1.0000e-04 eta: 21:26:44 time: 9.0383 data_time: 8.0562 memory: 27783 loss: 0.2397 loss_text: 0.1688 loss_kernel: 0.0709 2022/11/01 15:23:35 - mmengine - INFO - Epoch(train) [54][15/63] lr: 1.0000e-04 eta: 21:26:44 time: 1.0426 data_time: 0.0220 memory: 27783 loss: 0.2851 loss_text: 0.2005 loss_kernel: 0.0846 2022/11/01 15:23:40 - mmengine - INFO - Epoch(train) [54][20/63] lr: 1.0000e-04 eta: 21:24:20 time: 1.0538 data_time: 0.0211 memory: 27783 loss: 0.2410 loss_text: 0.1681 loss_kernel: 0.0729 2022/11/01 15:23:45 - mmengine - INFO - Epoch(train) [54][25/63] lr: 1.0000e-04 eta: 21:24:20 time: 0.9788 data_time: 0.0308 memory: 27783 loss: 0.2440 loss_text: 0.1696 loss_kernel: 0.0743 2022/11/01 15:23:49 - mmengine - INFO - Epoch(train) [54][30/63] lr: 1.0000e-04 eta: 21:21:42 time: 0.9169 data_time: 0.0157 memory: 27783 loss: 0.2888 loss_text: 0.2012 loss_kernel: 0.0876 2022/11/01 15:23:54 - mmengine - INFO - Epoch(train) [54][35/63] lr: 1.0000e-04 eta: 21:21:42 time: 0.9064 data_time: 0.0169 memory: 27783 loss: 0.2803 loss_text: 0.1984 loss_kernel: 0.0819 2022/11/01 15:23:58 - mmengine - INFO - Epoch(train) [54][40/63] lr: 1.0000e-04 eta: 21:19:07 time: 0.9232 data_time: 0.0181 memory: 27783 loss: 0.2488 loss_text: 0.1757 loss_kernel: 0.0731 2022/11/01 15:24:03 - mmengine - INFO - Epoch(train) [54][45/63] lr: 1.0000e-04 eta: 21:19:07 time: 0.9519 data_time: 0.0211 memory: 27783 loss: 0.2560 loss_text: 0.1790 loss_kernel: 0.0770 2022/11/01 15:24:08 - mmengine - INFO - Epoch(train) [54][50/63] lr: 1.0000e-04 eta: 21:16:36 time: 0.9711 data_time: 0.0360 memory: 27783 loss: 0.2692 loss_text: 0.1882 loss_kernel: 0.0810 2022/11/01 15:24:13 - mmengine - INFO - Epoch(train) [54][55/63] lr: 1.0000e-04 eta: 21:16:36 time: 0.9378 data_time: 0.0223 memory: 27783 loss: 0.2664 loss_text: 0.1853 loss_kernel: 0.0811 2022/11/01 15:24:17 - mmengine - INFO - Epoch(train) [54][60/63] lr: 1.0000e-04 eta: 21:14:02 time: 0.9174 data_time: 0.0137 memory: 27783 loss: 0.2874 loss_text: 0.2007 loss_kernel: 0.0866 2022/11/01 15:24:19 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:25:45 - mmengine - INFO - Epoch(train) [55][5/63] lr: 1.0000e-04 eta: 21:14:02 time: 8.9788 data_time: 8.1174 memory: 27783 loss: 0.2469 loss_text: 0.1760 loss_kernel: 0.0709 2022/11/01 15:25:50 - mmengine - INFO - Epoch(train) [55][10/63] lr: 1.0000e-04 eta: 21:23:52 time: 9.0307 data_time: 8.1349 memory: 27783 loss: 0.2079 loss_text: 0.1463 loss_kernel: 0.0616 2022/11/01 15:25:55 - mmengine - INFO - Epoch(train) [55][15/63] lr: 1.0000e-04 eta: 21:23:52 time: 0.9643 data_time: 0.0243 memory: 27783 loss: 0.1979 loss_text: 0.1375 loss_kernel: 0.0604 2022/11/01 15:25:59 - mmengine - INFO - Epoch(train) [55][20/63] lr: 1.0000e-04 eta: 21:21:20 time: 0.9504 data_time: 0.0188 memory: 27783 loss: 0.2584 loss_text: 0.1796 loss_kernel: 0.0789 2022/11/01 15:26:04 - mmengine - INFO - Epoch(train) [55][25/63] lr: 1.0000e-04 eta: 21:21:20 time: 0.9401 data_time: 0.0222 memory: 27783 loss: 0.2915 loss_text: 0.2053 loss_kernel: 0.0862 2022/11/01 15:26:09 - mmengine - INFO - Epoch(train) [55][30/63] lr: 1.0000e-04 eta: 21:18:48 time: 0.9409 data_time: 0.0192 memory: 27783 loss: 0.2193 loss_text: 0.1551 loss_kernel: 0.0642 2022/11/01 15:26:13 - mmengine - INFO - Epoch(train) [55][35/63] lr: 1.0000e-04 eta: 21:18:48 time: 0.9211 data_time: 0.0276 memory: 27783 loss: 0.2106 loss_text: 0.1473 loss_kernel: 0.0633 2022/11/01 15:26:18 - mmengine - INFO - Epoch(train) [55][40/63] lr: 1.0000e-04 eta: 21:16:13 time: 0.9070 data_time: 0.0201 memory: 27783 loss: 0.2545 loss_text: 0.1792 loss_kernel: 0.0753 2022/11/01 15:26:22 - mmengine - INFO - Epoch(train) [55][45/63] lr: 1.0000e-04 eta: 21:16:13 time: 0.8910 data_time: 0.0159 memory: 27783 loss: 0.2723 loss_text: 0.1902 loss_kernel: 0.0822 2022/11/01 15:26:27 - mmengine - INFO - Epoch(train) [55][50/63] lr: 1.0000e-04 eta: 21:13:38 time: 0.8882 data_time: 0.0235 memory: 27783 loss: 0.2758 loss_text: 0.1912 loss_kernel: 0.0846 2022/11/01 15:26:32 - mmengine - INFO - Epoch(train) [55][55/63] lr: 1.0000e-04 eta: 21:13:38 time: 0.9556 data_time: 0.0170 memory: 27783 loss: 0.2598 loss_text: 0.1830 loss_kernel: 0.0769 2022/11/01 15:26:36 - mmengine - INFO - Epoch(train) [55][60/63] lr: 1.0000e-04 eta: 21:11:10 time: 0.9605 data_time: 0.0139 memory: 27783 loss: 0.2454 loss_text: 0.1731 loss_kernel: 0.0723 2022/11/01 15:26:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:28:18 - mmengine - INFO - Epoch(train) [56][5/63] lr: 1.0000e-04 eta: 21:11:10 time: 10.3466 data_time: 9.4890 memory: 27783 loss: 0.2319 loss_text: 0.1632 loss_kernel: 0.0687 2022/11/01 15:28:23 - mmengine - INFO - Epoch(train) [56][10/63] lr: 1.0000e-04 eta: 21:23:04 time: 10.4062 data_time: 9.4937 memory: 27783 loss: 0.2526 loss_text: 0.1781 loss_kernel: 0.0746 2022/11/01 15:28:27 - mmengine - INFO - Epoch(train) [56][15/63] lr: 1.0000e-04 eta: 21:23:04 time: 0.8999 data_time: 0.0173 memory: 27783 loss: 0.2715 loss_text: 0.1883 loss_kernel: 0.0832 2022/11/01 15:28:32 - mmengine - INFO - Epoch(train) [56][20/63] lr: 1.0000e-04 eta: 21:20:29 time: 0.8991 data_time: 0.0202 memory: 27783 loss: 0.2340 loss_text: 0.1618 loss_kernel: 0.0722 2022/11/01 15:28:36 - mmengine - INFO - Epoch(train) [56][25/63] lr: 1.0000e-04 eta: 21:20:29 time: 0.9237 data_time: 0.0201 memory: 27783 loss: 0.2306 loss_text: 0.1607 loss_kernel: 0.0699 2022/11/01 15:28:41 - mmengine - INFO - Epoch(train) [56][30/63] lr: 1.0000e-04 eta: 21:17:56 time: 0.9117 data_time: 0.0188 memory: 27783 loss: 0.2986 loss_text: 0.2093 loss_kernel: 0.0892 2022/11/01 15:28:45 - mmengine - INFO - Epoch(train) [56][35/63] lr: 1.0000e-04 eta: 21:17:56 time: 0.8873 data_time: 0.0156 memory: 27783 loss: 0.2807 loss_text: 0.1956 loss_kernel: 0.0851 2022/11/01 15:28:50 - mmengine - INFO - Epoch(train) [56][40/63] lr: 1.0000e-04 eta: 21:15:23 time: 0.8949 data_time: 0.0150 memory: 27783 loss: 0.2171 loss_text: 0.1501 loss_kernel: 0.0670 2022/11/01 15:28:54 - mmengine - INFO - Epoch(train) [56][45/63] lr: 1.0000e-04 eta: 21:15:23 time: 0.9014 data_time: 0.0188 memory: 27783 loss: 0.2262 loss_text: 0.1583 loss_kernel: 0.0679 2022/11/01 15:28:59 - mmengine - INFO - Epoch(train) [56][50/63] lr: 1.0000e-04 eta: 21:12:51 time: 0.9087 data_time: 0.0192 memory: 27783 loss: 0.2161 loss_text: 0.1521 loss_kernel: 0.0640 2022/11/01 15:29:03 - mmengine - INFO - Epoch(train) [56][55/63] lr: 1.0000e-04 eta: 21:12:51 time: 0.8949 data_time: 0.0193 memory: 27783 loss: 0.2827 loss_text: 0.1989 loss_kernel: 0.0839 2022/11/01 15:29:08 - mmengine - INFO - Epoch(train) [56][60/63] lr: 1.0000e-04 eta: 21:10:19 time: 0.8843 data_time: 0.0191 memory: 27783 loss: 0.3311 loss_text: 0.2348 loss_kernel: 0.0963 2022/11/01 15:29:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:30:50 - mmengine - INFO - Epoch(train) [57][5/63] lr: 1.0000e-04 eta: 21:10:19 time: 10.4318 data_time: 9.5883 memory: 27783 loss: 0.2086 loss_text: 0.1469 loss_kernel: 0.0617 2022/11/01 15:30:55 - mmengine - INFO - Epoch(train) [57][10/63] lr: 1.0000e-04 eta: 21:22:08 time: 10.5199 data_time: 9.6038 memory: 27783 loss: 0.2083 loss_text: 0.1449 loss_kernel: 0.0634 2022/11/01 15:31:00 - mmengine - INFO - Epoch(train) [57][15/63] lr: 1.0000e-04 eta: 21:22:08 time: 0.9450 data_time: 0.0265 memory: 27783 loss: 0.2345 loss_text: 0.1653 loss_kernel: 0.0692 2022/11/01 15:31:05 - mmengine - INFO - Epoch(train) [57][20/63] lr: 1.0000e-04 eta: 21:19:40 time: 0.9351 data_time: 0.0154 memory: 27783 loss: 0.2348 loss_text: 0.1656 loss_kernel: 0.0691 2022/11/01 15:31:09 - mmengine - INFO - Epoch(train) [57][25/63] lr: 1.0000e-04 eta: 21:19:40 time: 0.9422 data_time: 0.0267 memory: 27783 loss: 0.2096 loss_text: 0.1488 loss_kernel: 0.0608 2022/11/01 15:31:14 - mmengine - INFO - Epoch(train) [57][30/63] lr: 1.0000e-04 eta: 21:17:08 time: 0.9039 data_time: 0.0184 memory: 27783 loss: 0.1974 loss_text: 0.1389 loss_kernel: 0.0586 2022/11/01 15:31:18 - mmengine - INFO - Epoch(train) [57][35/63] lr: 1.0000e-04 eta: 21:17:08 time: 0.9150 data_time: 0.0181 memory: 27783 loss: 0.1895 loss_text: 0.1301 loss_kernel: 0.0594 2022/11/01 15:31:23 - mmengine - INFO - Epoch(train) [57][40/63] lr: 1.0000e-04 eta: 21:14:44 time: 0.9702 data_time: 0.0201 memory: 27783 loss: 0.2156 loss_text: 0.1489 loss_kernel: 0.0668 2022/11/01 15:31:28 - mmengine - INFO - Epoch(train) [57][45/63] lr: 1.0000e-04 eta: 21:14:44 time: 0.9507 data_time: 0.0151 memory: 27783 loss: 0.2606 loss_text: 0.1807 loss_kernel: 0.0799 2022/11/01 15:31:33 - mmengine - INFO - Epoch(train) [57][50/63] lr: 1.0000e-04 eta: 21:12:18 time: 0.9340 data_time: 0.0314 memory: 27783 loss: 0.3301 loss_text: 0.2301 loss_kernel: 0.1001 2022/11/01 15:31:37 - mmengine - INFO - Epoch(train) [57][55/63] lr: 1.0000e-04 eta: 21:12:18 time: 0.9341 data_time: 0.0250 memory: 27783 loss: 0.2994 loss_text: 0.2107 loss_kernel: 0.0887 2022/11/01 15:31:42 - mmengine - INFO - Epoch(train) [57][60/63] lr: 1.0000e-04 eta: 21:09:49 time: 0.9100 data_time: 0.0136 memory: 27783 loss: 0.2259 loss_text: 0.1613 loss_kernel: 0.0646 2022/11/01 15:31:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:33:24 - mmengine - INFO - Epoch(train) [58][5/63] lr: 1.0000e-04 eta: 21:09:49 time: 10.4049 data_time: 9.5617 memory: 27783 loss: 0.2752 loss_text: 0.1940 loss_kernel: 0.0812 2022/11/01 15:33:29 - mmengine - INFO - Epoch(train) [58][10/63] lr: 1.0000e-04 eta: 21:21:17 time: 10.4443 data_time: 9.5758 memory: 27783 loss: 0.2892 loss_text: 0.2020 loss_kernel: 0.0872 2022/11/01 15:33:33 - mmengine - INFO - Epoch(train) [58][15/63] lr: 1.0000e-04 eta: 21:21:17 time: 0.9367 data_time: 0.0216 memory: 27783 loss: 0.2349 loss_text: 0.1632 loss_kernel: 0.0716 2022/11/01 15:33:38 - mmengine - INFO - Epoch(train) [58][20/63] lr: 1.0000e-04 eta: 21:18:52 time: 0.9463 data_time: 0.0196 memory: 27783 loss: 0.2089 loss_text: 0.1456 loss_kernel: 0.0633 2022/11/01 15:33:43 - mmengine - INFO - Epoch(train) [58][25/63] lr: 1.0000e-04 eta: 21:18:52 time: 0.9087 data_time: 0.0196 memory: 27783 loss: 0.2779 loss_text: 0.1948 loss_kernel: 0.0831 2022/11/01 15:33:47 - mmengine - INFO - Epoch(train) [58][30/63] lr: 1.0000e-04 eta: 21:16:25 time: 0.9321 data_time: 0.0158 memory: 27783 loss: 0.2775 loss_text: 0.1953 loss_kernel: 0.0822 2022/11/01 15:33:52 - mmengine - INFO - Epoch(train) [58][35/63] lr: 1.0000e-04 eta: 21:16:25 time: 0.9463 data_time: 0.0246 memory: 27783 loss: 0.2505 loss_text: 0.1764 loss_kernel: 0.0741 2022/11/01 15:33:57 - mmengine - INFO - Epoch(train) [58][40/63] lr: 1.0000e-04 eta: 21:14:00 time: 0.9365 data_time: 0.0171 memory: 27783 loss: 0.2359 loss_text: 0.1649 loss_kernel: 0.0710 2022/11/01 15:34:01 - mmengine - INFO - Epoch(train) [58][45/63] lr: 1.0000e-04 eta: 21:14:00 time: 0.9289 data_time: 0.0163 memory: 27783 loss: 0.2278 loss_text: 0.1584 loss_kernel: 0.0694 2022/11/01 15:34:06 - mmengine - INFO - Epoch(train) [58][50/63] lr: 1.0000e-04 eta: 21:11:34 time: 0.9117 data_time: 0.0251 memory: 27783 loss: 0.2515 loss_text: 0.1763 loss_kernel: 0.0752 2022/11/01 15:34:10 - mmengine - INFO - Epoch(train) [58][55/63] lr: 1.0000e-04 eta: 21:11:34 time: 0.8923 data_time: 0.0158 memory: 27783 loss: 0.2842 loss_text: 0.1994 loss_kernel: 0.0848 2022/11/01 15:34:15 - mmengine - INFO - Epoch(train) [58][60/63] lr: 1.0000e-04 eta: 21:09:09 time: 0.9215 data_time: 0.0138 memory: 27783 loss: 0.2544 loss_text: 0.1787 loss_kernel: 0.0756 2022/11/01 15:34:17 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:35:58 - mmengine - INFO - Epoch(train) [59][5/63] lr: 1.0000e-04 eta: 21:09:09 time: 10.4878 data_time: 9.5709 memory: 27783 loss: 0.2438 loss_text: 0.1706 loss_kernel: 0.0732 2022/11/01 15:36:03 - mmengine - INFO - Epoch(train) [59][10/63] lr: 1.0000e-04 eta: 21:20:30 time: 10.5261 data_time: 9.5853 memory: 27783 loss: 0.2347 loss_text: 0.1634 loss_kernel: 0.0713 2022/11/01 15:36:07 - mmengine - INFO - Epoch(train) [59][15/63] lr: 1.0000e-04 eta: 21:20:30 time: 0.9133 data_time: 0.0224 memory: 27783 loss: 0.2521 loss_text: 0.1755 loss_kernel: 0.0766 2022/11/01 15:36:12 - mmengine - INFO - Epoch(train) [59][20/63] lr: 1.0000e-04 eta: 21:18:05 time: 0.9268 data_time: 0.0206 memory: 27783 loss: 0.2577 loss_text: 0.1797 loss_kernel: 0.0780 2022/11/01 15:36:17 - mmengine - INFO - Epoch(train) [59][25/63] lr: 1.0000e-04 eta: 21:18:05 time: 0.9586 data_time: 0.0713 memory: 27783 loss: 0.2385 loss_text: 0.1652 loss_kernel: 0.0733 2022/11/01 15:36:22 - mmengine - INFO - Epoch(train) [59][30/63] lr: 1.0000e-04 eta: 21:15:42 time: 0.9544 data_time: 0.0638 memory: 27783 loss: 0.2369 loss_text: 0.1649 loss_kernel: 0.0721 2022/11/01 15:36:26 - mmengine - INFO - Epoch(train) [59][35/63] lr: 1.0000e-04 eta: 21:15:42 time: 0.9099 data_time: 0.0213 memory: 27783 loss: 0.2732 loss_text: 0.1906 loss_kernel: 0.0826 2022/11/01 15:36:31 - mmengine - INFO - Epoch(train) [59][40/63] lr: 1.0000e-04 eta: 21:13:17 time: 0.9059 data_time: 0.0175 memory: 27783 loss: 0.2440 loss_text: 0.1700 loss_kernel: 0.0740 2022/11/01 15:36:35 - mmengine - INFO - Epoch(train) [59][45/63] lr: 1.0000e-04 eta: 21:13:17 time: 0.9338 data_time: 0.0175 memory: 27783 loss: 0.2178 loss_text: 0.1519 loss_kernel: 0.0658 2022/11/01 15:36:40 - mmengine - INFO - Epoch(train) [59][50/63] lr: 1.0000e-04 eta: 21:10:53 time: 0.9253 data_time: 0.0239 memory: 27783 loss: 0.2668 loss_text: 0.1856 loss_kernel: 0.0812 2022/11/01 15:36:45 - mmengine - INFO - Epoch(train) [59][55/63] lr: 1.0000e-04 eta: 21:10:53 time: 0.9477 data_time: 0.0155 memory: 27783 loss: 0.2841 loss_text: 0.1988 loss_kernel: 0.0852 2022/11/01 15:36:50 - mmengine - INFO - Epoch(train) [59][60/63] lr: 1.0000e-04 eta: 21:08:36 time: 0.9886 data_time: 0.0155 memory: 27783 loss: 0.2214 loss_text: 0.1545 loss_kernel: 0.0669 2022/11/01 15:36:52 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:38:32 - mmengine - INFO - Epoch(train) [60][5/63] lr: 1.0000e-04 eta: 21:08:36 time: 10.3789 data_time: 9.5096 memory: 27783 loss: 0.2080 loss_text: 0.1453 loss_kernel: 0.0627 2022/11/01 15:38:36 - mmengine - INFO - Epoch(train) [60][10/63] lr: 1.0000e-04 eta: 21:19:35 time: 10.4287 data_time: 9.5187 memory: 27783 loss: 0.2599 loss_text: 0.1821 loss_kernel: 0.0779 2022/11/01 15:38:41 - mmengine - INFO - Epoch(train) [60][15/63] lr: 1.0000e-04 eta: 21:19:35 time: 0.9058 data_time: 0.0204 memory: 27783 loss: 0.2706 loss_text: 0.1898 loss_kernel: 0.0808 2022/11/01 15:38:45 - mmengine - INFO - Epoch(train) [60][20/63] lr: 1.0000e-04 eta: 21:17:11 time: 0.9138 data_time: 0.0202 memory: 27783 loss: 0.2254 loss_text: 0.1581 loss_kernel: 0.0672 2022/11/01 15:38:50 - mmengine - INFO - Epoch(train) [60][25/63] lr: 1.0000e-04 eta: 21:17:11 time: 0.9160 data_time: 0.0244 memory: 27783 loss: 0.2314 loss_text: 0.1617 loss_kernel: 0.0697 2022/11/01 15:38:55 - mmengine - INFO - Epoch(train) [60][30/63] lr: 1.0000e-04 eta: 21:14:48 time: 0.9334 data_time: 0.0174 memory: 27783 loss: 0.2765 loss_text: 0.1934 loss_kernel: 0.0831 2022/11/01 15:38:59 - mmengine - INFO - Epoch(train) [60][35/63] lr: 1.0000e-04 eta: 21:14:48 time: 0.9256 data_time: 0.0189 memory: 27783 loss: 0.2496 loss_text: 0.1744 loss_kernel: 0.0752 2022/11/01 15:39:04 - mmengine - INFO - Epoch(train) [60][40/63] lr: 1.0000e-04 eta: 21:12:22 time: 0.8812 data_time: 0.0181 memory: 27783 loss: 0.2295 loss_text: 0.1600 loss_kernel: 0.0695 2022/11/01 15:39:08 - mmengine - INFO - Epoch(train) [60][45/63] lr: 1.0000e-04 eta: 21:12:22 time: 0.8783 data_time: 0.0148 memory: 27783 loss: 0.2602 loss_text: 0.1809 loss_kernel: 0.0792 2022/11/01 15:39:13 - mmengine - INFO - Epoch(train) [60][50/63] lr: 1.0000e-04 eta: 21:09:58 time: 0.8939 data_time: 0.0196 memory: 27783 loss: 0.2430 loss_text: 0.1706 loss_kernel: 0.0724 2022/11/01 15:39:17 - mmengine - INFO - Epoch(train) [60][55/63] lr: 1.0000e-04 eta: 21:09:58 time: 0.8839 data_time: 0.0157 memory: 27783 loss: 0.2320 loss_text: 0.1632 loss_kernel: 0.0688 2022/11/01 15:39:21 - mmengine - INFO - Epoch(train) [60][60/63] lr: 1.0000e-04 eta: 21:07:34 time: 0.8856 data_time: 0.0161 memory: 27783 loss: 0.2371 loss_text: 0.1639 loss_kernel: 0.0732 2022/11/01 15:39:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:39:24 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/11/01 15:41:10 - mmengine - INFO - Epoch(train) [61][5/63] lr: 1.0000e-04 eta: 21:07:34 time: 10.4413 data_time: 9.5632 memory: 27783 loss: 0.2769 loss_text: 0.1936 loss_kernel: 0.0834 2022/11/01 15:41:14 - mmengine - INFO - Epoch(train) [61][10/63] lr: 1.0000e-04 eta: 21:18:28 time: 10.5175 data_time: 9.5776 memory: 27783 loss: 0.2722 loss_text: 0.1900 loss_kernel: 0.0821 2022/11/01 15:41:19 - mmengine - INFO - Epoch(train) [61][15/63] lr: 1.0000e-04 eta: 21:18:28 time: 0.9268 data_time: 0.0228 memory: 27783 loss: 0.2599 loss_text: 0.1803 loss_kernel: 0.0796 2022/11/01 15:41:23 - mmengine - INFO - Epoch(train) [61][20/63] lr: 1.0000e-04 eta: 21:16:05 time: 0.9140 data_time: 0.0188 memory: 27783 loss: 0.2308 loss_text: 0.1611 loss_kernel: 0.0697 2022/11/01 15:41:28 - mmengine - INFO - Epoch(train) [61][25/63] lr: 1.0000e-04 eta: 21:16:05 time: 0.9551 data_time: 0.0237 memory: 27783 loss: 0.2301 loss_text: 0.1600 loss_kernel: 0.0701 2022/11/01 15:41:33 - mmengine - INFO - Epoch(train) [61][30/63] lr: 1.0000e-04 eta: 21:13:45 time: 0.9320 data_time: 0.0162 memory: 27783 loss: 0.2801 loss_text: 0.1959 loss_kernel: 0.0842 2022/11/01 15:41:37 - mmengine - INFO - Epoch(train) [61][35/63] lr: 1.0000e-04 eta: 21:13:45 time: 0.9022 data_time: 0.0222 memory: 27783 loss: 0.2791 loss_text: 0.1964 loss_kernel: 0.0827 2022/11/01 15:41:42 - mmengine - INFO - Epoch(train) [61][40/63] lr: 1.0000e-04 eta: 21:11:23 time: 0.9085 data_time: 0.0164 memory: 27783 loss: 0.2207 loss_text: 0.1543 loss_kernel: 0.0664 2022/11/01 15:41:46 - mmengine - INFO - Epoch(train) [61][45/63] lr: 1.0000e-04 eta: 21:11:23 time: 0.9097 data_time: 0.0180 memory: 27783 loss: 0.2483 loss_text: 0.1742 loss_kernel: 0.0741 2022/11/01 15:41:51 - mmengine - INFO - Epoch(train) [61][50/63] lr: 1.0000e-04 eta: 21:09:03 time: 0.9190 data_time: 0.0292 memory: 27783 loss: 0.3008 loss_text: 0.2092 loss_kernel: 0.0917 2022/11/01 15:41:56 - mmengine - INFO - Epoch(train) [61][55/63] lr: 1.0000e-04 eta: 21:09:03 time: 0.9042 data_time: 0.0167 memory: 27783 loss: 0.2710 loss_text: 0.1882 loss_kernel: 0.0828 2022/11/01 15:42:00 - mmengine - INFO - Epoch(train) [61][60/63] lr: 1.0000e-04 eta: 21:06:41 time: 0.8837 data_time: 0.0120 memory: 27783 loss: 0.2594 loss_text: 0.1818 loss_kernel: 0.0776 2022/11/01 15:42:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:43:41 - mmengine - INFO - Epoch(train) [62][5/63] lr: 1.0000e-04 eta: 21:06:41 time: 10.3187 data_time: 9.4512 memory: 27783 loss: 0.2138 loss_text: 0.1500 loss_kernel: 0.0638 2022/11/01 15:43:46 - mmengine - INFO - Epoch(train) [62][10/63] lr: 1.0000e-04 eta: 21:17:08 time: 10.3566 data_time: 9.4621 memory: 27783 loss: 0.2381 loss_text: 0.1656 loss_kernel: 0.0724 2022/11/01 15:43:51 - mmengine - INFO - Epoch(train) [62][15/63] lr: 1.0000e-04 eta: 21:17:08 time: 0.9431 data_time: 0.0191 memory: 27783 loss: 0.2360 loss_text: 0.1640 loss_kernel: 0.0719 2022/11/01 15:43:56 - mmengine - INFO - Epoch(train) [62][20/63] lr: 1.0000e-04 eta: 21:14:50 time: 0.9484 data_time: 0.0227 memory: 27783 loss: 0.2371 loss_text: 0.1659 loss_kernel: 0.0712 2022/11/01 15:44:01 - mmengine - INFO - Epoch(train) [62][25/63] lr: 1.0000e-04 eta: 21:14:50 time: 0.9688 data_time: 0.0220 memory: 27783 loss: 0.2338 loss_text: 0.1629 loss_kernel: 0.0710 2022/11/01 15:44:05 - mmengine - INFO - Epoch(train) [62][30/63] lr: 1.0000e-04 eta: 21:12:34 time: 0.9535 data_time: 0.0208 memory: 27783 loss: 0.2469 loss_text: 0.1715 loss_kernel: 0.0754 2022/11/01 15:44:10 - mmengine - INFO - Epoch(train) [62][35/63] lr: 1.0000e-04 eta: 21:12:34 time: 0.9150 data_time: 0.0310 memory: 27783 loss: 0.2552 loss_text: 0.1771 loss_kernel: 0.0781 2022/11/01 15:44:14 - mmengine - INFO - Epoch(train) [62][40/63] lr: 1.0000e-04 eta: 21:10:14 time: 0.9077 data_time: 0.0177 memory: 27783 loss: 0.2354 loss_text: 0.1644 loss_kernel: 0.0709 2022/11/01 15:44:19 - mmengine - INFO - Epoch(train) [62][45/63] lr: 1.0000e-04 eta: 21:10:14 time: 0.9107 data_time: 0.0175 memory: 27783 loss: 0.2400 loss_text: 0.1687 loss_kernel: 0.0713 2022/11/01 15:44:24 - mmengine - INFO - Epoch(train) [62][50/63] lr: 1.0000e-04 eta: 21:07:58 time: 0.9396 data_time: 0.0300 memory: 27783 loss: 0.2423 loss_text: 0.1695 loss_kernel: 0.0727 2022/11/01 15:44:28 - mmengine - INFO - Epoch(train) [62][55/63] lr: 1.0000e-04 eta: 21:07:58 time: 0.9248 data_time: 0.0186 memory: 27783 loss: 0.2841 loss_text: 0.1984 loss_kernel: 0.0857 2022/11/01 15:44:33 - mmengine - INFO - Epoch(train) [62][60/63] lr: 1.0000e-04 eta: 21:05:38 time: 0.9006 data_time: 0.0128 memory: 27783 loss: 0.2780 loss_text: 0.1949 loss_kernel: 0.0831 2022/11/01 15:44:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:46:25 - mmengine - INFO - Epoch(train) [63][5/63] lr: 1.0000e-04 eta: 21:05:38 time: 11.4080 data_time: 10.5544 memory: 27783 loss: 0.2452 loss_text: 0.1716 loss_kernel: 0.0736 2022/11/01 15:46:30 - mmengine - INFO - Epoch(train) [63][10/63] lr: 1.0000e-04 eta: 21:17:30 time: 11.4733 data_time: 10.5704 memory: 27783 loss: 0.2251 loss_text: 0.1580 loss_kernel: 0.0671 2022/11/01 15:46:34 - mmengine - INFO - Epoch(train) [63][15/63] lr: 1.0000e-04 eta: 21:17:30 time: 0.9349 data_time: 0.0251 memory: 27783 loss: 0.2240 loss_text: 0.1575 loss_kernel: 0.0665 2022/11/01 15:46:39 - mmengine - INFO - Epoch(train) [63][20/63] lr: 1.0000e-04 eta: 21:15:13 time: 0.9411 data_time: 0.0191 memory: 27783 loss: 0.2335 loss_text: 0.1629 loss_kernel: 0.0706 2022/11/01 15:46:44 - mmengine - INFO - Epoch(train) [63][25/63] lr: 1.0000e-04 eta: 21:15:13 time: 0.9422 data_time: 0.0297 memory: 27783 loss: 0.2463 loss_text: 0.1719 loss_kernel: 0.0744 2022/11/01 15:46:48 - mmengine - INFO - Epoch(train) [63][30/63] lr: 1.0000e-04 eta: 21:12:57 time: 0.9298 data_time: 0.0199 memory: 27783 loss: 0.2290 loss_text: 0.1606 loss_kernel: 0.0684 2022/11/01 15:46:53 - mmengine - INFO - Epoch(train) [63][35/63] lr: 1.0000e-04 eta: 21:12:57 time: 0.9253 data_time: 0.0149 memory: 27783 loss: 0.2134 loss_text: 0.1498 loss_kernel: 0.0636 2022/11/01 15:46:58 - mmengine - INFO - Epoch(train) [63][40/63] lr: 1.0000e-04 eta: 21:10:38 time: 0.9065 data_time: 0.0173 memory: 27783 loss: 0.2487 loss_text: 0.1750 loss_kernel: 0.0737 2022/11/01 15:47:02 - mmengine - INFO - Epoch(train) [63][45/63] lr: 1.0000e-04 eta: 21:10:38 time: 0.9017 data_time: 0.0169 memory: 27783 loss: 0.2825 loss_text: 0.1977 loss_kernel: 0.0849 2022/11/01 15:47:07 - mmengine - INFO - Epoch(train) [63][50/63] lr: 1.0000e-04 eta: 21:08:22 time: 0.9180 data_time: 0.0251 memory: 27783 loss: 0.2818 loss_text: 0.1952 loss_kernel: 0.0866 2022/11/01 15:47:11 - mmengine - INFO - Epoch(train) [63][55/63] lr: 1.0000e-04 eta: 21:08:22 time: 0.8971 data_time: 0.0171 memory: 27783 loss: 0.2504 loss_text: 0.1746 loss_kernel: 0.0758 2022/11/01 15:47:16 - mmengine - INFO - Epoch(train) [63][60/63] lr: 1.0000e-04 eta: 21:06:06 time: 0.9236 data_time: 0.0151 memory: 27783 loss: 0.2532 loss_text: 0.1771 loss_kernel: 0.0761 2022/11/01 15:47:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:49:10 - mmengine - INFO - Epoch(train) [64][5/63] lr: 1.0000e-04 eta: 21:06:06 time: 11.6252 data_time: 10.6959 memory: 27783 loss: 0.2429 loss_text: 0.1683 loss_kernel: 0.0746 2022/11/01 15:49:15 - mmengine - INFO - Epoch(train) [64][10/63] lr: 1.0000e-04 eta: 21:18:02 time: 11.6834 data_time: 10.7140 memory: 27783 loss: 0.2803 loss_text: 0.1950 loss_kernel: 0.0853 2022/11/01 15:49:20 - mmengine - INFO - Epoch(train) [64][15/63] lr: 1.0000e-04 eta: 21:18:02 time: 0.9541 data_time: 0.0261 memory: 27783 loss: 0.3001 loss_text: 0.2094 loss_kernel: 0.0907 2022/11/01 15:49:25 - mmengine - INFO - Epoch(train) [64][20/63] lr: 1.0000e-04 eta: 21:15:47 time: 0.9427 data_time: 0.0164 memory: 27783 loss: 0.2654 loss_text: 0.1852 loss_kernel: 0.0801 2022/11/01 15:49:29 - mmengine - INFO - Epoch(train) [64][25/63] lr: 1.0000e-04 eta: 21:15:47 time: 0.9623 data_time: 0.0263 memory: 27783 loss: 0.2404 loss_text: 0.1687 loss_kernel: 0.0717 2022/11/01 15:49:34 - mmengine - INFO - Epoch(train) [64][30/63] lr: 1.0000e-04 eta: 21:13:34 time: 0.9652 data_time: 0.0178 memory: 27783 loss: 0.2360 loss_text: 0.1669 loss_kernel: 0.0691 2022/11/01 15:49:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:49:39 - mmengine - INFO - Epoch(train) [64][35/63] lr: 1.0000e-04 eta: 21:13:34 time: 0.9592 data_time: 0.0199 memory: 27783 loss: 0.2189 loss_text: 0.1546 loss_kernel: 0.0643 2022/11/01 15:49:44 - mmengine - INFO - Epoch(train) [64][40/63] lr: 1.0000e-04 eta: 21:11:20 time: 0.9305 data_time: 0.0202 memory: 27783 loss: 0.2483 loss_text: 0.1733 loss_kernel: 0.0750 2022/11/01 15:49:48 - mmengine - INFO - Epoch(train) [64][45/63] lr: 1.0000e-04 eta: 21:11:20 time: 0.9487 data_time: 0.0187 memory: 27783 loss: 0.2836 loss_text: 0.1975 loss_kernel: 0.0861 2022/11/01 15:49:53 - mmengine - INFO - Epoch(train) [64][50/63] lr: 1.0000e-04 eta: 21:09:10 time: 0.9794 data_time: 0.0297 memory: 27783 loss: 0.2501 loss_text: 0.1749 loss_kernel: 0.0753 2022/11/01 15:49:59 - mmengine - INFO - Epoch(train) [64][55/63] lr: 1.0000e-04 eta: 21:09:10 time: 1.0122 data_time: 0.0183 memory: 27783 loss: 0.2489 loss_text: 0.1744 loss_kernel: 0.0745 2022/11/01 15:50:03 - mmengine - INFO - Epoch(train) [64][60/63] lr: 1.0000e-04 eta: 21:07:02 time: 1.0035 data_time: 0.0151 memory: 27783 loss: 0.2258 loss_text: 0.1570 loss_kernel: 0.0687 2022/11/01 15:50:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:51:46 - mmengine - INFO - Epoch(train) [65][5/63] lr: 1.0000e-04 eta: 21:07:02 time: 10.4184 data_time: 9.4705 memory: 27783 loss: 0.2069 loss_text: 0.1456 loss_kernel: 0.0613 2022/11/01 15:51:51 - mmengine - INFO - Epoch(train) [65][10/63] lr: 1.0000e-04 eta: 21:17:04 time: 10.4774 data_time: 9.4869 memory: 27783 loss: 0.2492 loss_text: 0.1776 loss_kernel: 0.0715 2022/11/01 15:51:55 - mmengine - INFO - Epoch(train) [65][15/63] lr: 1.0000e-04 eta: 21:17:04 time: 0.9555 data_time: 0.0225 memory: 27783 loss: 0.2584 loss_text: 0.1813 loss_kernel: 0.0771 2022/11/01 15:52:01 - mmengine - INFO - Epoch(train) [65][20/63] lr: 1.0000e-04 eta: 21:14:58 time: 1.0319 data_time: 0.0249 memory: 27783 loss: 0.2406 loss_text: 0.1668 loss_kernel: 0.0738 2022/11/01 15:52:06 - mmengine - INFO - Epoch(train) [65][25/63] lr: 1.0000e-04 eta: 21:14:58 time: 1.0482 data_time: 0.0366 memory: 27783 loss: 0.2506 loss_text: 0.1766 loss_kernel: 0.0740 2022/11/01 15:52:10 - mmengine - INFO - Epoch(train) [65][30/63] lr: 1.0000e-04 eta: 21:12:47 time: 0.9592 data_time: 0.0182 memory: 27783 loss: 0.2873 loss_text: 0.2020 loss_kernel: 0.0853 2022/11/01 15:52:15 - mmengine - INFO - Epoch(train) [65][35/63] lr: 1.0000e-04 eta: 21:12:47 time: 0.9517 data_time: 0.0218 memory: 27783 loss: 0.2716 loss_text: 0.1886 loss_kernel: 0.0830 2022/11/01 15:52:20 - mmengine - INFO - Epoch(train) [65][40/63] lr: 1.0000e-04 eta: 21:10:38 time: 0.9884 data_time: 0.0246 memory: 27783 loss: 0.2656 loss_text: 0.1853 loss_kernel: 0.0802 2022/11/01 15:52:26 - mmengine - INFO - Epoch(train) [65][45/63] lr: 1.0000e-04 eta: 21:10:38 time: 1.0341 data_time: 0.0212 memory: 27783 loss: 0.2564 loss_text: 0.1781 loss_kernel: 0.0783 2022/11/01 15:52:31 - mmengine - INFO - Epoch(train) [65][50/63] lr: 1.0000e-04 eta: 21:08:35 time: 1.0395 data_time: 0.0441 memory: 27783 loss: 0.1970 loss_text: 0.1365 loss_kernel: 0.0605 2022/11/01 15:52:36 - mmengine - INFO - Epoch(train) [65][55/63] lr: 1.0000e-04 eta: 21:08:35 time: 1.0009 data_time: 0.0318 memory: 27783 loss: 0.2384 loss_text: 0.1656 loss_kernel: 0.0728 2022/11/01 15:52:40 - mmengine - INFO - Epoch(train) [65][60/63] lr: 1.0000e-04 eta: 21:06:26 time: 0.9637 data_time: 0.0134 memory: 27783 loss: 0.2579 loss_text: 0.1791 loss_kernel: 0.0787 2022/11/01 15:52:43 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:54:23 - mmengine - INFO - Epoch(train) [66][5/63] lr: 1.0000e-04 eta: 21:06:26 time: 10.4296 data_time: 9.5069 memory: 27783 loss: 0.2303 loss_text: 0.1618 loss_kernel: 0.0685 2022/11/01 15:54:28 - mmengine - INFO - Epoch(train) [66][10/63] lr: 1.0000e-04 eta: 21:16:21 time: 10.5373 data_time: 9.5320 memory: 27783 loss: 0.2169 loss_text: 0.1518 loss_kernel: 0.0651 2022/11/01 15:54:33 - mmengine - INFO - Epoch(train) [66][15/63] lr: 1.0000e-04 eta: 21:16:21 time: 1.0178 data_time: 0.0348 memory: 27783 loss: 0.2018 loss_text: 0.1403 loss_kernel: 0.0615 2022/11/01 15:54:38 - mmengine - INFO - Epoch(train) [66][20/63] lr: 1.0000e-04 eta: 21:14:14 time: 1.0057 data_time: 0.0169 memory: 27783 loss: 0.2114 loss_text: 0.1463 loss_kernel: 0.0651 2022/11/01 15:54:44 - mmengine - INFO - Epoch(train) [66][25/63] lr: 1.0000e-04 eta: 21:14:14 time: 1.0579 data_time: 0.0242 memory: 27783 loss: 0.2546 loss_text: 0.1758 loss_kernel: 0.0789 2022/11/01 15:54:49 - mmengine - INFO - Epoch(train) [66][30/63] lr: 1.0000e-04 eta: 21:12:10 time: 1.0228 data_time: 0.0254 memory: 27783 loss: 0.2667 loss_text: 0.1858 loss_kernel: 0.0809 2022/11/01 15:54:53 - mmengine - INFO - Epoch(train) [66][35/63] lr: 1.0000e-04 eta: 21:12:10 time: 0.9538 data_time: 0.0226 memory: 27783 loss: 0.2702 loss_text: 0.1918 loss_kernel: 0.0785 2022/11/01 15:54:58 - mmengine - INFO - Epoch(train) [66][40/63] lr: 1.0000e-04 eta: 21:10:03 time: 0.9879 data_time: 0.0216 memory: 27783 loss: 0.2580 loss_text: 0.1828 loss_kernel: 0.0752 2022/11/01 15:55:03 - mmengine - INFO - Epoch(train) [66][45/63] lr: 1.0000e-04 eta: 21:10:03 time: 0.9814 data_time: 0.0282 memory: 27783 loss: 0.2494 loss_text: 0.1734 loss_kernel: 0.0760 2022/11/01 15:55:08 - mmengine - INFO - Epoch(train) [66][50/63] lr: 1.0000e-04 eta: 21:07:53 time: 0.9361 data_time: 0.0318 memory: 27783 loss: 0.2542 loss_text: 0.1774 loss_kernel: 0.0768 2022/11/01 15:55:13 - mmengine - INFO - Epoch(train) [66][55/63] lr: 1.0000e-04 eta: 21:07:53 time: 0.9602 data_time: 0.0188 memory: 27783 loss: 0.2439 loss_text: 0.1707 loss_kernel: 0.0732 2022/11/01 15:55:18 - mmengine - INFO - Epoch(train) [66][60/63] lr: 1.0000e-04 eta: 21:05:48 time: 0.9943 data_time: 0.0153 memory: 27783 loss: 0.2245 loss_text: 0.1566 loss_kernel: 0.0678 2022/11/01 15:55:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:57:00 - mmengine - INFO - Epoch(train) [67][5/63] lr: 1.0000e-04 eta: 21:05:48 time: 10.4629 data_time: 9.4942 memory: 27783 loss: 0.2177 loss_text: 0.1524 loss_kernel: 0.0654 2022/11/01 15:57:05 - mmengine - INFO - Epoch(train) [67][10/63] lr: 1.0000e-04 eta: 21:15:25 time: 10.4566 data_time: 9.4965 memory: 27783 loss: 0.2697 loss_text: 0.1903 loss_kernel: 0.0795 2022/11/01 15:57:10 - mmengine - INFO - Epoch(train) [67][15/63] lr: 1.0000e-04 eta: 21:15:25 time: 0.9729 data_time: 0.0210 memory: 27783 loss: 0.2473 loss_text: 0.1751 loss_kernel: 0.0722 2022/11/01 15:57:15 - mmengine - INFO - Epoch(train) [67][20/63] lr: 1.0000e-04 eta: 21:13:18 time: 0.9809 data_time: 0.0294 memory: 27783 loss: 0.2196 loss_text: 0.1525 loss_kernel: 0.0671 2022/11/01 15:57:20 - mmengine - INFO - Epoch(train) [67][25/63] lr: 1.0000e-04 eta: 21:13:18 time: 0.9646 data_time: 0.0197 memory: 27783 loss: 0.2814 loss_text: 0.1953 loss_kernel: 0.0861 2022/11/01 15:57:25 - mmengine - INFO - Epoch(train) [67][30/63] lr: 1.0000e-04 eta: 21:11:11 time: 0.9664 data_time: 0.0189 memory: 27783 loss: 0.2654 loss_text: 0.1854 loss_kernel: 0.0800 2022/11/01 15:57:30 - mmengine - INFO - Epoch(train) [67][35/63] lr: 1.0000e-04 eta: 21:11:11 time: 0.9891 data_time: 0.0238 memory: 27783 loss: 0.2185 loss_text: 0.1520 loss_kernel: 0.0665 2022/11/01 15:57:35 - mmengine - INFO - Epoch(train) [67][40/63] lr: 1.0000e-04 eta: 21:09:09 time: 1.0367 data_time: 0.0200 memory: 27783 loss: 0.2644 loss_text: 0.1842 loss_kernel: 0.0802 2022/11/01 15:57:40 - mmengine - INFO - Epoch(train) [67][45/63] lr: 1.0000e-04 eta: 21:09:09 time: 1.0067 data_time: 0.0273 memory: 27783 loss: 0.2751 loss_text: 0.1914 loss_kernel: 0.0837 2022/11/01 15:57:45 - mmengine - INFO - Epoch(train) [67][50/63] lr: 1.0000e-04 eta: 21:07:03 time: 0.9616 data_time: 0.0275 memory: 27783 loss: 0.2417 loss_text: 0.1690 loss_kernel: 0.0727 2022/11/01 15:57:50 - mmengine - INFO - Epoch(train) [67][55/63] lr: 1.0000e-04 eta: 21:07:03 time: 1.0109 data_time: 0.0235 memory: 27783 loss: 0.2304 loss_text: 0.1632 loss_kernel: 0.0672 2022/11/01 15:57:55 - mmengine - INFO - Epoch(train) [67][60/63] lr: 1.0000e-04 eta: 21:05:00 time: 1.0119 data_time: 0.0246 memory: 27783 loss: 0.2302 loss_text: 0.1600 loss_kernel: 0.0702 2022/11/01 15:57:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 15:59:37 - mmengine - INFO - Epoch(train) [68][5/63] lr: 1.0000e-04 eta: 21:05:00 time: 10.3825 data_time: 9.4817 memory: 27783 loss: 0.2595 loss_text: 0.1832 loss_kernel: 0.0763 2022/11/01 15:59:42 - mmengine - INFO - Epoch(train) [68][10/63] lr: 1.0000e-04 eta: 21:14:31 time: 10.4980 data_time: 9.4964 memory: 27783 loss: 0.2354 loss_text: 0.1656 loss_kernel: 0.0698 2022/11/01 15:59:47 - mmengine - INFO - Epoch(train) [68][15/63] lr: 1.0000e-04 eta: 21:14:31 time: 1.0304 data_time: 0.0269 memory: 27783 loss: 0.2734 loss_text: 0.1924 loss_kernel: 0.0811 2022/11/01 15:59:52 - mmengine - INFO - Epoch(train) [68][20/63] lr: 1.0000e-04 eta: 21:12:23 time: 0.9485 data_time: 0.0194 memory: 27783 loss: 0.2658 loss_text: 0.1859 loss_kernel: 0.0799 2022/11/01 15:59:57 - mmengine - INFO - Epoch(train) [68][25/63] lr: 1.0000e-04 eta: 21:12:23 time: 1.0235 data_time: 0.0366 memory: 27783 loss: 0.2251 loss_text: 0.1575 loss_kernel: 0.0676 2022/11/01 16:00:02 - mmengine - INFO - Epoch(train) [68][30/63] lr: 1.0000e-04 eta: 21:10:22 time: 1.0307 data_time: 0.0236 memory: 27783 loss: 0.2164 loss_text: 0.1516 loss_kernel: 0.0648 2022/11/01 16:00:07 - mmengine - INFO - Epoch(train) [68][35/63] lr: 1.0000e-04 eta: 21:10:22 time: 0.9522 data_time: 0.0168 memory: 27783 loss: 0.1974 loss_text: 0.1393 loss_kernel: 0.0581 2022/11/01 16:00:12 - mmengine - INFO - Epoch(train) [68][40/63] lr: 1.0000e-04 eta: 21:08:15 time: 0.9490 data_time: 0.0183 memory: 27783 loss: 0.2529 loss_text: 0.1793 loss_kernel: 0.0736 2022/11/01 16:00:17 - mmengine - INFO - Epoch(train) [68][45/63] lr: 1.0000e-04 eta: 21:08:15 time: 1.0080 data_time: 0.0180 memory: 27783 loss: 0.2627 loss_text: 0.1854 loss_kernel: 0.0774 2022/11/01 16:00:22 - mmengine - INFO - Epoch(train) [68][50/63] lr: 1.0000e-04 eta: 21:06:15 time: 1.0334 data_time: 0.0327 memory: 27783 loss: 0.2601 loss_text: 0.1817 loss_kernel: 0.0785 2022/11/01 16:00:27 - mmengine - INFO - Epoch(train) [68][55/63] lr: 1.0000e-04 eta: 21:06:15 time: 1.0147 data_time: 0.0221 memory: 27783 loss: 0.2812 loss_text: 0.1964 loss_kernel: 0.0849 2022/11/01 16:00:32 - mmengine - INFO - Epoch(train) [68][60/63] lr: 1.0000e-04 eta: 21:04:11 time: 0.9649 data_time: 0.0134 memory: 27783 loss: 0.2694 loss_text: 0.1900 loss_kernel: 0.0794 2022/11/01 16:00:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:02:14 - mmengine - INFO - Epoch(train) [69][5/63] lr: 1.0000e-04 eta: 21:04:11 time: 10.4240 data_time: 9.5173 memory: 27783 loss: 0.2095 loss_text: 0.1471 loss_kernel: 0.0624 2022/11/01 16:02:19 - mmengine - INFO - Epoch(train) [69][10/63] lr: 1.0000e-04 eta: 21:13:31 time: 10.4997 data_time: 9.5354 memory: 27783 loss: 0.2160 loss_text: 0.1496 loss_kernel: 0.0664 2022/11/01 16:02:24 - mmengine - INFO - Epoch(train) [69][15/63] lr: 1.0000e-04 eta: 21:13:31 time: 0.9659 data_time: 0.0267 memory: 27783 loss: 0.2493 loss_text: 0.1749 loss_kernel: 0.0745 2022/11/01 16:02:29 - mmengine - INFO - Epoch(train) [69][20/63] lr: 1.0000e-04 eta: 21:11:27 time: 0.9761 data_time: 0.0195 memory: 27783 loss: 0.2435 loss_text: 0.1724 loss_kernel: 0.0711 2022/11/01 16:02:34 - mmengine - INFO - Epoch(train) [69][25/63] lr: 1.0000e-04 eta: 21:11:27 time: 1.0024 data_time: 0.0295 memory: 27783 loss: 0.2329 loss_text: 0.1620 loss_kernel: 0.0709 2022/11/01 16:02:39 - mmengine - INFO - Epoch(train) [69][30/63] lr: 1.0000e-04 eta: 21:09:23 time: 0.9803 data_time: 0.0212 memory: 27783 loss: 0.2175 loss_text: 0.1498 loss_kernel: 0.0678 2022/11/01 16:02:44 - mmengine - INFO - Epoch(train) [69][35/63] lr: 1.0000e-04 eta: 21:09:23 time: 0.9704 data_time: 0.0222 memory: 27783 loss: 0.1829 loss_text: 0.1272 loss_kernel: 0.0558 2022/11/01 16:02:49 - mmengine - INFO - Epoch(train) [69][40/63] lr: 1.0000e-04 eta: 21:07:22 time: 0.9961 data_time: 0.0224 memory: 27783 loss: 0.1939 loss_text: 0.1348 loss_kernel: 0.0591 2022/11/01 16:02:54 - mmengine - INFO - Epoch(train) [69][45/63] lr: 1.0000e-04 eta: 21:07:22 time: 1.0039 data_time: 0.0203 memory: 27783 loss: 0.2347 loss_text: 0.1628 loss_kernel: 0.0719 2022/11/01 16:02:58 - mmengine - INFO - Epoch(train) [69][50/63] lr: 1.0000e-04 eta: 21:05:18 time: 0.9671 data_time: 0.0244 memory: 27783 loss: 0.2509 loss_text: 0.1743 loss_kernel: 0.0766 2022/11/01 16:03:03 - mmengine - INFO - Epoch(train) [69][55/63] lr: 1.0000e-04 eta: 21:05:18 time: 0.9235 data_time: 0.0173 memory: 27783 loss: 0.2680 loss_text: 0.1876 loss_kernel: 0.0805 2022/11/01 16:03:08 - mmengine - INFO - Epoch(train) [69][60/63] lr: 1.0000e-04 eta: 21:03:13 time: 0.9360 data_time: 0.0180 memory: 27783 loss: 0.2662 loss_text: 0.1875 loss_kernel: 0.0787 2022/11/01 16:03:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:04:50 - mmengine - INFO - Epoch(train) [70][5/63] lr: 1.0000e-04 eta: 21:03:13 time: 10.4249 data_time: 9.5148 memory: 27783 loss: 0.2682 loss_text: 0.1885 loss_kernel: 0.0797 2022/11/01 16:04:55 - mmengine - INFO - Epoch(train) [70][10/63] lr: 1.0000e-04 eta: 21:12:21 time: 10.4704 data_time: 9.5244 memory: 27783 loss: 0.2396 loss_text: 0.1699 loss_kernel: 0.0697 2022/11/01 16:05:00 - mmengine - INFO - Epoch(train) [70][15/63] lr: 1.0000e-04 eta: 21:12:21 time: 0.9685 data_time: 0.0206 memory: 27783 loss: 0.2464 loss_text: 0.1715 loss_kernel: 0.0749 2022/11/01 16:05:05 - mmengine - INFO - Epoch(train) [70][20/63] lr: 1.0000e-04 eta: 21:10:17 time: 0.9607 data_time: 0.0173 memory: 27783 loss: 0.2702 loss_text: 0.1871 loss_kernel: 0.0832 2022/11/01 16:05:10 - mmengine - INFO - Epoch(train) [70][25/63] lr: 1.0000e-04 eta: 21:10:17 time: 1.0497 data_time: 0.0390 memory: 27783 loss: 0.2184 loss_text: 0.1529 loss_kernel: 0.0655 2022/11/01 16:05:16 - mmengine - INFO - Epoch(train) [70][30/63] lr: 1.0000e-04 eta: 21:08:23 time: 1.0839 data_time: 0.0296 memory: 27783 loss: 0.2254 loss_text: 0.1586 loss_kernel: 0.0668 2022/11/01 16:05:21 - mmengine - INFO - Epoch(train) [70][35/63] lr: 1.0000e-04 eta: 21:08:23 time: 1.0508 data_time: 0.0240 memory: 27783 loss: 0.2694 loss_text: 0.1894 loss_kernel: 0.0800 2022/11/01 16:05:26 - mmengine - INFO - Epoch(train) [70][40/63] lr: 1.0000e-04 eta: 21:06:24 time: 1.0087 data_time: 0.0282 memory: 27783 loss: 0.2718 loss_text: 0.1912 loss_kernel: 0.0806 2022/11/01 16:05:31 - mmengine - INFO - Epoch(train) [70][45/63] lr: 1.0000e-04 eta: 21:06:24 time: 0.9743 data_time: 0.0231 memory: 27783 loss: 0.2616 loss_text: 0.1815 loss_kernel: 0.0800 2022/11/01 16:05:36 - mmengine - INFO - Epoch(train) [70][50/63] lr: 1.0000e-04 eta: 21:04:23 time: 0.9866 data_time: 0.0294 memory: 27783 loss: 0.2336 loss_text: 0.1644 loss_kernel: 0.0692 2022/11/01 16:05:41 - mmengine - INFO - Epoch(train) [70][55/63] lr: 1.0000e-04 eta: 21:04:23 time: 0.9856 data_time: 0.0184 memory: 27783 loss: 0.2427 loss_text: 0.1731 loss_kernel: 0.0696 2022/11/01 16:05:45 - mmengine - INFO - Epoch(train) [70][60/63] lr: 1.0000e-04 eta: 21:02:23 time: 0.9815 data_time: 0.0143 memory: 27783 loss: 0.2501 loss_text: 0.1749 loss_kernel: 0.0752 2022/11/01 16:05:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:07:32 - mmengine - INFO - Epoch(train) [71][5/63] lr: 1.0000e-04 eta: 21:02:23 time: 10.7711 data_time: 9.8832 memory: 27783 loss: 0.2484 loss_text: 0.1722 loss_kernel: 0.0762 2022/11/01 16:07:37 - mmengine - INFO - Epoch(train) [71][10/63] lr: 1.0000e-04 eta: 21:11:48 time: 10.8290 data_time: 9.8902 memory: 27783 loss: 0.2264 loss_text: 0.1562 loss_kernel: 0.0702 2022/11/01 16:07:41 - mmengine - INFO - Epoch(train) [71][15/63] lr: 1.0000e-04 eta: 21:11:48 time: 0.9573 data_time: 0.0217 memory: 27783 loss: 0.2444 loss_text: 0.1687 loss_kernel: 0.0756 2022/11/01 16:07:46 - mmengine - INFO - Epoch(train) [71][20/63] lr: 1.0000e-04 eta: 21:09:44 time: 0.9429 data_time: 0.0220 memory: 27783 loss: 0.2712 loss_text: 0.1885 loss_kernel: 0.0827 2022/11/01 16:07:50 - mmengine - INFO - Epoch(train) [71][25/63] lr: 1.0000e-04 eta: 21:09:44 time: 0.9376 data_time: 0.0270 memory: 27783 loss: 0.2727 loss_text: 0.1909 loss_kernel: 0.0818 2022/11/01 16:07:55 - mmengine - INFO - Epoch(train) [71][30/63] lr: 1.0000e-04 eta: 21:07:37 time: 0.9003 data_time: 0.0191 memory: 27783 loss: 0.2518 loss_text: 0.1765 loss_kernel: 0.0753 2022/11/01 16:08:00 - mmengine - INFO - Epoch(train) [71][35/63] lr: 1.0000e-04 eta: 21:07:37 time: 0.9051 data_time: 0.0178 memory: 27783 loss: 0.2489 loss_text: 0.1739 loss_kernel: 0.0750 2022/11/01 16:08:04 - mmengine - INFO - Epoch(train) [71][40/63] lr: 1.0000e-04 eta: 21:05:31 time: 0.8917 data_time: 0.0202 memory: 27783 loss: 0.2590 loss_text: 0.1790 loss_kernel: 0.0800 2022/11/01 16:08:08 - mmengine - INFO - Epoch(train) [71][45/63] lr: 1.0000e-04 eta: 21:05:31 time: 0.8887 data_time: 0.0175 memory: 27783 loss: 0.2658 loss_text: 0.1839 loss_kernel: 0.0818 2022/11/01 16:08:13 - mmengine - INFO - Epoch(train) [71][50/63] lr: 1.0000e-04 eta: 21:03:29 time: 0.9555 data_time: 0.0258 memory: 27783 loss: 0.2431 loss_text: 0.1722 loss_kernel: 0.0709 2022/11/01 16:08:18 - mmengine - INFO - Epoch(train) [71][55/63] lr: 1.0000e-04 eta: 21:03:29 time: 0.9623 data_time: 0.0214 memory: 27783 loss: 0.2701 loss_text: 0.1919 loss_kernel: 0.0781 2022/11/01 16:08:23 - mmengine - INFO - Epoch(train) [71][60/63] lr: 1.0000e-04 eta: 21:01:27 time: 0.9364 data_time: 0.0161 memory: 27783 loss: 0.2889 loss_text: 0.2039 loss_kernel: 0.0849 2022/11/01 16:08:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:10:05 - mmengine - INFO - Epoch(train) [72][5/63] lr: 1.0000e-04 eta: 21:01:27 time: 10.3487 data_time: 9.4797 memory: 27783 loss: 0.2391 loss_text: 0.1671 loss_kernel: 0.0720 2022/11/01 16:10:09 - mmengine - INFO - Epoch(train) [72][10/63] lr: 1.0000e-04 eta: 21:10:11 time: 10.4094 data_time: 9.4852 memory: 27783 loss: 0.2173 loss_text: 0.1513 loss_kernel: 0.0660 2022/11/01 16:10:14 - mmengine - INFO - Epoch(train) [72][15/63] lr: 1.0000e-04 eta: 21:10:11 time: 0.9738 data_time: 0.0225 memory: 27783 loss: 0.2177 loss_text: 0.1506 loss_kernel: 0.0671 2022/11/01 16:10:19 - mmengine - INFO - Epoch(train) [72][20/63] lr: 1.0000e-04 eta: 21:08:10 time: 0.9534 data_time: 0.0300 memory: 27783 loss: 0.2329 loss_text: 0.1617 loss_kernel: 0.0712 2022/11/01 16:10:23 - mmengine - INFO - Epoch(train) [72][25/63] lr: 1.0000e-04 eta: 21:08:10 time: 0.9020 data_time: 0.0219 memory: 27783 loss: 0.2214 loss_text: 0.1539 loss_kernel: 0.0675 2022/11/01 16:10:28 - mmengine - INFO - Epoch(train) [72][30/63] lr: 1.0000e-04 eta: 21:06:06 time: 0.9204 data_time: 0.0303 memory: 27783 loss: 0.2081 loss_text: 0.1466 loss_kernel: 0.0615 2022/11/01 16:10:33 - mmengine - INFO - Epoch(train) [72][35/63] lr: 1.0000e-04 eta: 21:06:06 time: 0.9865 data_time: 0.0393 memory: 27783 loss: 0.2178 loss_text: 0.1538 loss_kernel: 0.0640 2022/11/01 16:10:38 - mmengine - INFO - Epoch(train) [72][40/63] lr: 1.0000e-04 eta: 21:04:05 time: 0.9528 data_time: 0.0170 memory: 27783 loss: 0.2550 loss_text: 0.1774 loss_kernel: 0.0777 2022/11/01 16:10:42 - mmengine - INFO - Epoch(train) [72][45/63] lr: 1.0000e-04 eta: 21:04:05 time: 0.9337 data_time: 0.0169 memory: 27783 loss: 0.2925 loss_text: 0.2031 loss_kernel: 0.0894 2022/11/01 16:10:47 - mmengine - INFO - Epoch(train) [72][50/63] lr: 1.0000e-04 eta: 21:02:04 time: 0.9479 data_time: 0.0181 memory: 27783 loss: 0.2984 loss_text: 0.2082 loss_kernel: 0.0902 2022/11/01 16:10:52 - mmengine - INFO - Epoch(train) [72][55/63] lr: 1.0000e-04 eta: 21:02:04 time: 0.9266 data_time: 0.0187 memory: 27783 loss: 0.2869 loss_text: 0.2025 loss_kernel: 0.0844 2022/11/01 16:10:56 - mmengine - INFO - Epoch(train) [72][60/63] lr: 1.0000e-04 eta: 21:00:03 time: 0.9322 data_time: 0.0239 memory: 27783 loss: 0.2309 loss_text: 0.1629 loss_kernel: 0.0680 2022/11/01 16:10:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:12:38 - mmengine - INFO - Epoch(train) [73][5/63] lr: 1.0000e-04 eta: 21:00:03 time: 10.3329 data_time: 9.4749 memory: 27783 loss: 0.2058 loss_text: 0.1425 loss_kernel: 0.0633 2022/11/01 16:12:43 - mmengine - INFO - Epoch(train) [73][10/63] lr: 1.0000e-04 eta: 21:08:36 time: 10.3767 data_time: 9.4834 memory: 27783 loss: 0.2241 loss_text: 0.1545 loss_kernel: 0.0696 2022/11/01 16:12:47 - mmengine - INFO - Epoch(train) [73][15/63] lr: 1.0000e-04 eta: 21:08:36 time: 0.9144 data_time: 0.0214 memory: 27783 loss: 0.2410 loss_text: 0.1679 loss_kernel: 0.0731 2022/11/01 16:12:52 - mmengine - INFO - Epoch(train) [73][20/63] lr: 1.0000e-04 eta: 21:06:36 time: 0.9484 data_time: 0.0188 memory: 27783 loss: 0.2103 loss_text: 0.1477 loss_kernel: 0.0626 2022/11/01 16:12:57 - mmengine - INFO - Epoch(train) [73][25/63] lr: 1.0000e-04 eta: 21:06:36 time: 0.9690 data_time: 0.0274 memory: 27783 loss: 0.2373 loss_text: 0.1647 loss_kernel: 0.0726 2022/11/01 16:13:01 - mmengine - INFO - Epoch(train) [73][30/63] lr: 1.0000e-04 eta: 21:04:35 time: 0.9483 data_time: 0.0187 memory: 27783 loss: 0.2859 loss_text: 0.2002 loss_kernel: 0.0857 2022/11/01 16:13:06 - mmengine - INFO - Epoch(train) [73][35/63] lr: 1.0000e-04 eta: 21:04:35 time: 0.9550 data_time: 0.0188 memory: 27783 loss: 0.2653 loss_text: 0.1866 loss_kernel: 0.0787 2022/11/01 16:13:11 - mmengine - INFO - Epoch(train) [73][40/63] lr: 1.0000e-04 eta: 21:02:36 time: 0.9542 data_time: 0.0181 memory: 27783 loss: 0.2256 loss_text: 0.1569 loss_kernel: 0.0687 2022/11/01 16:13:16 - mmengine - INFO - Epoch(train) [73][45/63] lr: 1.0000e-04 eta: 21:02:36 time: 0.9214 data_time: 0.0174 memory: 27783 loss: 0.2257 loss_text: 0.1567 loss_kernel: 0.0691 2022/11/01 16:13:20 - mmengine - INFO - Epoch(train) [73][50/63] lr: 1.0000e-04 eta: 21:00:32 time: 0.8851 data_time: 0.0249 memory: 27783 loss: 0.2471 loss_text: 0.1711 loss_kernel: 0.0760 2022/11/01 16:13:25 - mmengine - INFO - Epoch(train) [73][55/63] lr: 1.0000e-04 eta: 21:00:32 time: 0.9385 data_time: 0.0155 memory: 27783 loss: 0.2326 loss_text: 0.1612 loss_kernel: 0.0714 2022/11/01 16:13:30 - mmengine - INFO - Epoch(train) [73][60/63] lr: 1.0000e-04 eta: 20:58:35 time: 0.9660 data_time: 0.0156 memory: 27783 loss: 0.2509 loss_text: 0.1751 loss_kernel: 0.0758 2022/11/01 16:13:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:15:13 - mmengine - INFO - Epoch(train) [74][5/63] lr: 1.0000e-04 eta: 20:58:35 time: 10.5008 data_time: 9.6284 memory: 27783 loss: 0.2416 loss_text: 0.1685 loss_kernel: 0.0731 2022/11/01 16:15:18 - mmengine - INFO - Epoch(train) [74][10/63] lr: 1.0000e-04 eta: 21:07:14 time: 10.5808 data_time: 9.6468 memory: 27783 loss: 0.2423 loss_text: 0.1692 loss_kernel: 0.0731 2022/11/01 16:15:22 - mmengine - INFO - Epoch(train) [74][15/63] lr: 1.0000e-04 eta: 21:07:14 time: 0.9533 data_time: 0.0281 memory: 27783 loss: 0.2325 loss_text: 0.1618 loss_kernel: 0.0707 2022/11/01 16:15:27 - mmengine - INFO - Epoch(train) [74][20/63] lr: 1.0000e-04 eta: 21:05:15 time: 0.9462 data_time: 0.0238 memory: 27783 loss: 0.2457 loss_text: 0.1712 loss_kernel: 0.0745 2022/11/01 16:15:32 - mmengine - INFO - Epoch(train) [74][25/63] lr: 1.0000e-04 eta: 21:05:15 time: 0.9597 data_time: 0.0321 memory: 27783 loss: 0.2391 loss_text: 0.1658 loss_kernel: 0.0733 2022/11/01 16:15:37 - mmengine - INFO - Epoch(train) [74][30/63] lr: 1.0000e-04 eta: 21:03:16 time: 0.9444 data_time: 0.0174 memory: 27783 loss: 0.2412 loss_text: 0.1676 loss_kernel: 0.0737 2022/11/01 16:15:41 - mmengine - INFO - Epoch(train) [74][35/63] lr: 1.0000e-04 eta: 21:03:16 time: 0.9229 data_time: 0.0204 memory: 27783 loss: 0.2709 loss_text: 0.1908 loss_kernel: 0.0801 2022/11/01 16:15:47 - mmengine - INFO - Epoch(train) [74][40/63] lr: 1.0000e-04 eta: 21:01:20 time: 0.9865 data_time: 0.0220 memory: 27783 loss: 0.2571 loss_text: 0.1811 loss_kernel: 0.0761 2022/11/01 16:15:51 - mmengine - INFO - Epoch(train) [74][45/63] lr: 1.0000e-04 eta: 21:01:20 time: 1.0241 data_time: 0.0217 memory: 27783 loss: 0.2249 loss_text: 0.1560 loss_kernel: 0.0689 2022/11/01 16:15:56 - mmengine - INFO - Epoch(train) [74][50/63] lr: 1.0000e-04 eta: 20:59:23 time: 0.9653 data_time: 0.0311 memory: 27783 loss: 0.2420 loss_text: 0.1682 loss_kernel: 0.0738 2022/11/01 16:16:01 - mmengine - INFO - Epoch(train) [74][55/63] lr: 1.0000e-04 eta: 20:59:23 time: 0.9358 data_time: 0.0175 memory: 27783 loss: 0.2788 loss_text: 0.1952 loss_kernel: 0.0836 2022/11/01 16:16:06 - mmengine - INFO - Epoch(train) [74][60/63] lr: 1.0000e-04 eta: 20:57:25 time: 0.9412 data_time: 0.0146 memory: 27783 loss: 0.2950 loss_text: 0.2054 loss_kernel: 0.0896 2022/11/01 16:16:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:17:48 - mmengine - INFO - Epoch(train) [75][5/63] lr: 1.0000e-04 eta: 20:57:25 time: 10.4172 data_time: 9.5259 memory: 27783 loss: 0.2767 loss_text: 0.1918 loss_kernel: 0.0848 2022/11/01 16:17:53 - mmengine - INFO - Epoch(train) [75][10/63] lr: 1.0000e-04 eta: 21:05:49 time: 10.4834 data_time: 9.5430 memory: 27783 loss: 0.2696 loss_text: 0.1925 loss_kernel: 0.0771 2022/11/01 16:17:59 - mmengine - INFO - Epoch(train) [75][15/63] lr: 1.0000e-04 eta: 21:05:49 time: 1.0694 data_time: 0.0248 memory: 27783 loss: 0.2852 loss_text: 0.2016 loss_kernel: 0.0836 2022/11/01 16:18:04 - mmengine - INFO - Epoch(train) [75][20/63] lr: 1.0000e-04 eta: 21:04:02 time: 1.0987 data_time: 0.0161 memory: 27783 loss: 0.2810 loss_text: 0.1962 loss_kernel: 0.0848 2022/11/01 16:18:09 - mmengine - INFO - Epoch(train) [75][25/63] lr: 1.0000e-04 eta: 21:04:02 time: 0.9950 data_time: 0.0261 memory: 27783 loss: 0.2495 loss_text: 0.1757 loss_kernel: 0.0738 2022/11/01 16:18:13 - mmengine - INFO - Epoch(train) [75][30/63] lr: 1.0000e-04 eta: 21:02:05 time: 0.9595 data_time: 0.0192 memory: 27783 loss: 0.2439 loss_text: 0.1730 loss_kernel: 0.0709 2022/11/01 16:18:18 - mmengine - INFO - Epoch(train) [75][35/63] lr: 1.0000e-04 eta: 21:02:05 time: 0.9376 data_time: 0.0180 memory: 27783 loss: 0.2220 loss_text: 0.1567 loss_kernel: 0.0652 2022/11/01 16:18:23 - mmengine - INFO - Epoch(train) [75][40/63] lr: 1.0000e-04 eta: 21:00:06 time: 0.9200 data_time: 0.0190 memory: 27783 loss: 0.2502 loss_text: 0.1745 loss_kernel: 0.0757 2022/11/01 16:18:27 - mmengine - INFO - Epoch(train) [75][45/63] lr: 1.0000e-04 eta: 21:00:06 time: 0.9126 data_time: 0.0182 memory: 27783 loss: 0.2584 loss_text: 0.1796 loss_kernel: 0.0787 2022/11/01 16:18:32 - mmengine - INFO - Epoch(train) [75][50/63] lr: 1.0000e-04 eta: 20:58:07 time: 0.9179 data_time: 0.0269 memory: 27783 loss: 0.2379 loss_text: 0.1663 loss_kernel: 0.0716 2022/11/01 16:18:37 - mmengine - INFO - Epoch(train) [75][55/63] lr: 1.0000e-04 eta: 20:58:07 time: 0.9971 data_time: 0.0184 memory: 27783 loss: 0.2094 loss_text: 0.1461 loss_kernel: 0.0633 2022/11/01 16:18:43 - mmengine - INFO - Epoch(train) [75][60/63] lr: 1.0000e-04 eta: 20:56:19 time: 1.0706 data_time: 0.0218 memory: 27783 loss: 0.1914 loss_text: 0.1327 loss_kernel: 0.0587 2022/11/01 16:18:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:20:26 - mmengine - INFO - Epoch(train) [76][5/63] lr: 1.0000e-04 eta: 20:56:19 time: 10.5217 data_time: 9.5734 memory: 27783 loss: 0.2438 loss_text: 0.1699 loss_kernel: 0.0739 2022/11/01 16:20:31 - mmengine - INFO - Epoch(train) [76][10/63] lr: 1.0000e-04 eta: 21:04:42 time: 10.5773 data_time: 9.5848 memory: 27783 loss: 0.2376 loss_text: 0.1638 loss_kernel: 0.0738 2022/11/01 16:20:35 - mmengine - INFO - Epoch(train) [76][15/63] lr: 1.0000e-04 eta: 21:04:42 time: 0.9283 data_time: 0.0283 memory: 27783 loss: 0.2600 loss_text: 0.1805 loss_kernel: 0.0794 2022/11/01 16:20:40 - mmengine - INFO - Epoch(train) [76][20/63] lr: 1.0000e-04 eta: 21:02:43 time: 0.9274 data_time: 0.0280 memory: 27783 loss: 0.2514 loss_text: 0.1765 loss_kernel: 0.0750 2022/11/01 16:20:45 - mmengine - INFO - Epoch(train) [76][25/63] lr: 1.0000e-04 eta: 21:02:43 time: 0.9336 data_time: 0.0256 memory: 27783 loss: 0.2577 loss_text: 0.1823 loss_kernel: 0.0754 2022/11/01 16:20:50 - mmengine - INFO - Epoch(train) [76][30/63] lr: 1.0000e-04 eta: 21:00:48 time: 0.9641 data_time: 0.0168 memory: 27783 loss: 0.2519 loss_text: 0.1762 loss_kernel: 0.0757 2022/11/01 16:20:54 - mmengine - INFO - Epoch(train) [76][35/63] lr: 1.0000e-04 eta: 21:00:48 time: 0.9629 data_time: 0.0253 memory: 27783 loss: 0.2091 loss_text: 0.1453 loss_kernel: 0.0638 2022/11/01 16:20:59 - mmengine - INFO - Epoch(train) [76][40/63] lr: 1.0000e-04 eta: 20:58:51 time: 0.9254 data_time: 0.0193 memory: 27783 loss: 0.2313 loss_text: 0.1614 loss_kernel: 0.0699 2022/11/01 16:21:04 - mmengine - INFO - Epoch(train) [76][45/63] lr: 1.0000e-04 eta: 20:58:51 time: 0.9330 data_time: 0.0173 memory: 27783 loss: 0.2835 loss_text: 0.1977 loss_kernel: 0.0857 2022/11/01 16:21:08 - mmengine - INFO - Epoch(train) [76][50/63] lr: 1.0000e-04 eta: 20:56:54 time: 0.9304 data_time: 0.0247 memory: 27783 loss: 0.2805 loss_text: 0.1961 loss_kernel: 0.0843 2022/11/01 16:21:13 - mmengine - INFO - Epoch(train) [76][55/63] lr: 1.0000e-04 eta: 20:56:54 time: 0.9362 data_time: 0.0165 memory: 27783 loss: 0.2530 loss_text: 0.1764 loss_kernel: 0.0766 2022/11/01 16:21:18 - mmengine - INFO - Epoch(train) [76][60/63] lr: 1.0000e-04 eta: 20:55:01 time: 0.9733 data_time: 0.0174 memory: 27783 loss: 0.2791 loss_text: 0.1945 loss_kernel: 0.0846 2022/11/01 16:21:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:23:00 - mmengine - INFO - Epoch(train) [77][5/63] lr: 1.0000e-04 eta: 20:55:01 time: 10.3253 data_time: 9.4574 memory: 27783 loss: 0.2938 loss_text: 0.2047 loss_kernel: 0.0891 2022/11/01 16:23:04 - mmengine - INFO - Epoch(train) [77][10/63] lr: 1.0000e-04 eta: 21:03:01 time: 10.3832 data_time: 9.4647 memory: 27783 loss: 0.2645 loss_text: 0.1852 loss_kernel: 0.0793 2022/11/01 16:23:09 - mmengine - INFO - Epoch(train) [77][15/63] lr: 1.0000e-04 eta: 21:03:01 time: 0.9225 data_time: 0.0181 memory: 27783 loss: 0.2539 loss_text: 0.1778 loss_kernel: 0.0761 2022/11/01 16:23:13 - mmengine - INFO - Epoch(train) [77][20/63] lr: 1.0000e-04 eta: 21:01:04 time: 0.9218 data_time: 0.0200 memory: 27783 loss: 0.2222 loss_text: 0.1547 loss_kernel: 0.0675 2022/11/01 16:23:18 - mmengine - INFO - Epoch(train) [77][25/63] lr: 1.0000e-04 eta: 21:01:04 time: 0.9110 data_time: 0.0215 memory: 27783 loss: 0.2285 loss_text: 0.1598 loss_kernel: 0.0687 2022/11/01 16:23:23 - mmengine - INFO - Epoch(train) [77][30/63] lr: 1.0000e-04 eta: 20:59:07 time: 0.9198 data_time: 0.0173 memory: 27783 loss: 0.2199 loss_text: 0.1544 loss_kernel: 0.0655 2022/11/01 16:23:27 - mmengine - INFO - Epoch(train) [77][35/63] lr: 1.0000e-04 eta: 20:59:07 time: 0.9511 data_time: 0.0217 memory: 27783 loss: 0.2426 loss_text: 0.1694 loss_kernel: 0.0732 2022/11/01 16:23:32 - mmengine - INFO - Epoch(train) [77][40/63] lr: 1.0000e-04 eta: 20:57:11 time: 0.9288 data_time: 0.0167 memory: 27783 loss: 0.2551 loss_text: 0.1785 loss_kernel: 0.0766 2022/11/01 16:23:37 - mmengine - INFO - Epoch(train) [77][45/63] lr: 1.0000e-04 eta: 20:57:11 time: 0.9114 data_time: 0.0199 memory: 27783 loss: 0.2528 loss_text: 0.1759 loss_kernel: 0.0770 2022/11/01 16:23:42 - mmengine - INFO - Epoch(train) [77][50/63] lr: 1.0000e-04 eta: 20:55:19 time: 0.9703 data_time: 0.0246 memory: 27783 loss: 0.2904 loss_text: 0.2023 loss_kernel: 0.0881 2022/11/01 16:23:46 - mmengine - INFO - Epoch(train) [77][55/63] lr: 1.0000e-04 eta: 20:55:19 time: 0.9943 data_time: 0.0171 memory: 27783 loss: 0.2790 loss_text: 0.1960 loss_kernel: 0.0830 2022/11/01 16:23:51 - mmengine - INFO - Epoch(train) [77][60/63] lr: 1.0000e-04 eta: 20:53:27 time: 0.9852 data_time: 0.0188 memory: 27783 loss: 0.2401 loss_text: 0.1698 loss_kernel: 0.0704 2022/11/01 16:23:54 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:25:34 - mmengine - INFO - Epoch(train) [78][5/63] lr: 1.0000e-04 eta: 20:53:27 time: 10.4180 data_time: 9.5621 memory: 27783 loss: 0.2208 loss_text: 0.1558 loss_kernel: 0.0650 2022/11/01 16:25:39 - mmengine - INFO - Epoch(train) [78][10/63] lr: 1.0000e-04 eta: 21:01:27 time: 10.4768 data_time: 9.5703 memory: 27783 loss: 0.2586 loss_text: 0.1818 loss_kernel: 0.0769 2022/11/01 16:25:43 - mmengine - INFO - Epoch(train) [78][15/63] lr: 1.0000e-04 eta: 21:01:27 time: 0.9129 data_time: 0.0190 memory: 27783 loss: 0.2479 loss_text: 0.1722 loss_kernel: 0.0757 2022/11/01 16:25:48 - mmengine - INFO - Epoch(train) [78][20/63] lr: 1.0000e-04 eta: 20:59:32 time: 0.9492 data_time: 0.0212 memory: 27783 loss: 0.2107 loss_text: 0.1455 loss_kernel: 0.0653 2022/11/01 16:25:53 - mmengine - INFO - Epoch(train) [78][25/63] lr: 1.0000e-04 eta: 20:59:32 time: 1.0159 data_time: 0.0250 memory: 27783 loss: 0.2243 loss_text: 0.1569 loss_kernel: 0.0674 2022/11/01 16:25:58 - mmengine - INFO - Epoch(train) [78][30/63] lr: 1.0000e-04 eta: 20:57:40 time: 0.9739 data_time: 0.0170 memory: 27783 loss: 0.2231 loss_text: 0.1557 loss_kernel: 0.0674 2022/11/01 16:26:03 - mmengine - INFO - Epoch(train) [78][35/63] lr: 1.0000e-04 eta: 20:57:40 time: 0.9484 data_time: 0.0190 memory: 27783 loss: 0.2164 loss_text: 0.1507 loss_kernel: 0.0657 2022/11/01 16:26:07 - mmengine - INFO - Epoch(train) [78][40/63] lr: 1.0000e-04 eta: 20:55:48 time: 0.9640 data_time: 0.0163 memory: 27783 loss: 0.2510 loss_text: 0.1751 loss_kernel: 0.0759 2022/11/01 16:26:12 - mmengine - INFO - Epoch(train) [78][45/63] lr: 1.0000e-04 eta: 20:55:48 time: 0.9463 data_time: 0.0174 memory: 27783 loss: 0.2415 loss_text: 0.1664 loss_kernel: 0.0751 2022/11/01 16:26:17 - mmengine - INFO - Epoch(train) [78][50/63] lr: 1.0000e-04 eta: 20:53:54 time: 0.9341 data_time: 0.0261 memory: 27783 loss: 0.2364 loss_text: 0.1622 loss_kernel: 0.0742 2022/11/01 16:26:21 - mmengine - INFO - Epoch(train) [78][55/63] lr: 1.0000e-04 eta: 20:53:54 time: 0.9100 data_time: 0.0183 memory: 27783 loss: 0.2718 loss_text: 0.1895 loss_kernel: 0.0823 2022/11/01 16:26:26 - mmengine - INFO - Epoch(train) [78][60/63] lr: 1.0000e-04 eta: 20:52:01 time: 0.9318 data_time: 0.0166 memory: 27783 loss: 0.2601 loss_text: 0.1810 loss_kernel: 0.0791 2022/11/01 16:26:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:28:08 - mmengine - INFO - Epoch(train) [79][5/63] lr: 1.0000e-04 eta: 20:52:01 time: 10.3804 data_time: 9.4734 memory: 27783 loss: 0.2348 loss_text: 0.1632 loss_kernel: 0.0716 2022/11/01 16:28:13 - mmengine - INFO - Epoch(train) [79][10/63] lr: 1.0000e-04 eta: 20:59:47 time: 10.3989 data_time: 9.4876 memory: 27783 loss: 0.2026 loss_text: 0.1411 loss_kernel: 0.0615 2022/11/01 16:28:18 - mmengine - INFO - Epoch(train) [79][15/63] lr: 1.0000e-04 eta: 20:59:47 time: 0.9510 data_time: 0.0271 memory: 27783 loss: 0.1790 loss_text: 0.1231 loss_kernel: 0.0558 2022/11/01 16:28:23 - mmengine - INFO - Epoch(train) [79][20/63] lr: 1.0000e-04 eta: 20:57:55 time: 0.9630 data_time: 0.0261 memory: 27783 loss: 0.2112 loss_text: 0.1465 loss_kernel: 0.0647 2022/11/01 16:28:27 - mmengine - INFO - Epoch(train) [79][25/63] lr: 1.0000e-04 eta: 20:57:55 time: 0.9596 data_time: 0.0318 memory: 27783 loss: 0.2074 loss_text: 0.1439 loss_kernel: 0.0635 2022/11/01 16:28:32 - mmengine - INFO - Epoch(train) [79][30/63] lr: 1.0000e-04 eta: 20:56:02 time: 0.9362 data_time: 0.0207 memory: 27783 loss: 0.2165 loss_text: 0.1498 loss_kernel: 0.0667 2022/11/01 16:28:37 - mmengine - INFO - Epoch(train) [79][35/63] lr: 1.0000e-04 eta: 20:56:02 time: 0.9359 data_time: 0.0161 memory: 27783 loss: 0.2439 loss_text: 0.1713 loss_kernel: 0.0727 2022/11/01 16:28:41 - mmengine - INFO - Epoch(train) [79][40/63] lr: 1.0000e-04 eta: 20:54:08 time: 0.9238 data_time: 0.0206 memory: 27783 loss: 0.2245 loss_text: 0.1574 loss_kernel: 0.0671 2022/11/01 16:28:46 - mmengine - INFO - Epoch(train) [79][45/63] lr: 1.0000e-04 eta: 20:54:08 time: 0.9191 data_time: 0.0197 memory: 27783 loss: 0.2200 loss_text: 0.1529 loss_kernel: 0.0671 2022/11/01 16:28:50 - mmengine - INFO - Epoch(train) [79][50/63] lr: 1.0000e-04 eta: 20:52:13 time: 0.9039 data_time: 0.0206 memory: 27783 loss: 0.2496 loss_text: 0.1743 loss_kernel: 0.0754 2022/11/01 16:28:55 - mmengine - INFO - Epoch(train) [79][55/63] lr: 1.0000e-04 eta: 20:52:13 time: 0.8915 data_time: 0.0209 memory: 27783 loss: 0.2890 loss_text: 0.2016 loss_kernel: 0.0873 2022/11/01 16:28:59 - mmengine - INFO - Epoch(train) [79][60/63] lr: 1.0000e-04 eta: 20:50:18 time: 0.8951 data_time: 0.0169 memory: 27783 loss: 0.3171 loss_text: 0.2199 loss_kernel: 0.0972 2022/11/01 16:29:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:30:42 - mmengine - INFO - Epoch(train) [80][5/63] lr: 1.0000e-04 eta: 20:50:18 time: 10.4759 data_time: 9.6272 memory: 27783 loss: 0.2531 loss_text: 0.1775 loss_kernel: 0.0756 2022/11/01 16:30:47 - mmengine - INFO - Epoch(train) [80][10/63] lr: 1.0000e-04 eta: 20:58:07 time: 10.5460 data_time: 9.6269 memory: 27783 loss: 0.2416 loss_text: 0.1687 loss_kernel: 0.0729 2022/11/01 16:30:52 - mmengine - INFO - Epoch(train) [80][15/63] lr: 1.0000e-04 eta: 20:58:07 time: 0.9368 data_time: 0.0188 memory: 27783 loss: 0.2717 loss_text: 0.1934 loss_kernel: 0.0783 2022/11/01 16:30:57 - mmengine - INFO - Epoch(train) [80][20/63] lr: 1.0000e-04 eta: 20:56:14 time: 0.9355 data_time: 0.0315 memory: 27783 loss: 0.2632 loss_text: 0.1875 loss_kernel: 0.0757 2022/11/01 16:30:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:31:02 - mmengine - INFO - Epoch(train) [80][25/63] lr: 1.0000e-04 eta: 20:56:14 time: 0.9820 data_time: 0.0252 memory: 27783 loss: 0.2228 loss_text: 0.1553 loss_kernel: 0.0675 2022/11/01 16:31:06 - mmengine - INFO - Epoch(train) [80][30/63] lr: 1.0000e-04 eta: 20:54:26 time: 0.9878 data_time: 0.0204 memory: 27783 loss: 0.2097 loss_text: 0.1453 loss_kernel: 0.0644 2022/11/01 16:31:11 - mmengine - INFO - Epoch(train) [80][35/63] lr: 1.0000e-04 eta: 20:54:26 time: 0.9595 data_time: 0.0268 memory: 27783 loss: 0.2117 loss_text: 0.1471 loss_kernel: 0.0646 2022/11/01 16:31:16 - mmengine - INFO - Epoch(train) [80][40/63] lr: 1.0000e-04 eta: 20:52:34 time: 0.9406 data_time: 0.0205 memory: 27783 loss: 0.2372 loss_text: 0.1687 loss_kernel: 0.0685 2022/11/01 16:31:20 - mmengine - INFO - Epoch(train) [80][45/63] lr: 1.0000e-04 eta: 20:52:34 time: 0.9199 data_time: 0.0196 memory: 27783 loss: 0.2655 loss_text: 0.1876 loss_kernel: 0.0779 2022/11/01 16:31:25 - mmengine - INFO - Epoch(train) [80][50/63] lr: 1.0000e-04 eta: 20:50:41 time: 0.9125 data_time: 0.0178 memory: 27783 loss: 0.2993 loss_text: 0.2088 loss_kernel: 0.0905 2022/11/01 16:31:29 - mmengine - INFO - Epoch(train) [80][55/63] lr: 1.0000e-04 eta: 20:50:41 time: 0.9019 data_time: 0.0151 memory: 27783 loss: 0.2763 loss_text: 0.1948 loss_kernel: 0.0816 2022/11/01 16:31:34 - mmengine - INFO - Epoch(train) [80][60/63] lr: 1.0000e-04 eta: 20:48:50 time: 0.9299 data_time: 0.0204 memory: 27783 loss: 0.2206 loss_text: 0.1551 loss_kernel: 0.0654 2022/11/01 16:31:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:31:37 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/11/01 16:32:14 - mmengine - INFO - Epoch(val) [80][5/500] eta: 20:48:50 time: 3.2202 data_time: 3.1455 memory: 27783 2022/11/01 16:32:14 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:26:20 time: 3.2256 data_time: 3.1462 memory: 3208 2022/11/01 16:32:15 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:26:20 time: 0.0771 data_time: 0.0033 memory: 3208 2022/11/01 16:32:15 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:00:36 time: 0.0760 data_time: 0.0029 memory: 3208 2022/11/01 16:32:15 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:00:36 time: 0.0758 data_time: 0.0028 memory: 3208 2022/11/01 16:32:16 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:00:35 time: 0.0750 data_time: 0.0024 memory: 3208 2022/11/01 16:32:16 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:00:35 time: 0.0756 data_time: 0.0025 memory: 3208 2022/11/01 16:32:17 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:00:34 time: 0.0761 data_time: 0.0025 memory: 3208 2022/11/01 16:32:17 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:00:34 time: 0.0764 data_time: 0.0026 memory: 3208 2022/11/01 16:32:17 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:33 time: 0.0752 data_time: 0.0029 memory: 3208 2022/11/01 16:32:18 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:33 time: 0.0761 data_time: 0.0030 memory: 3208 2022/11/01 16:32:18 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:00:33 time: 0.0769 data_time: 0.0030 memory: 3208 2022/11/01 16:32:18 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:00:33 time: 0.0789 data_time: 0.0030 memory: 3208 2022/11/01 16:32:19 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:00:34 time: 0.0809 data_time: 0.0030 memory: 3208 2022/11/01 16:32:19 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:00:34 time: 0.0853 data_time: 0.0103 memory: 3208 2022/11/01 16:32:20 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:00:33 time: 0.0803 data_time: 0.0101 memory: 3208 2022/11/01 16:32:20 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:00:33 time: 0.0709 data_time: 0.0028 memory: 3208 2022/11/01 16:32:20 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:30 time: 0.0748 data_time: 0.0028 memory: 3208 2022/11/01 16:32:21 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:30 time: 0.0759 data_time: 0.0027 memory: 3208 2022/11/01 16:32:21 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:00:29 time: 0.0734 data_time: 0.0027 memory: 3208 2022/11/01 16:32:21 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:00:29 time: 0.0733 data_time: 0.0027 memory: 3208 2022/11/01 16:32:22 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:00:28 time: 0.0721 data_time: 0.0026 memory: 3208 2022/11/01 16:32:22 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:00:28 time: 0.0740 data_time: 0.0025 memory: 3208 2022/11/01 16:32:23 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:27 time: 0.0733 data_time: 0.0024 memory: 3208 2022/11/01 16:32:23 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:27 time: 0.0704 data_time: 0.0023 memory: 3208 2022/11/01 16:32:23 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:00:26 time: 0.0725 data_time: 0.0024 memory: 3208 2022/11/01 16:32:24 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:00:26 time: 0.0803 data_time: 0.0092 memory: 3208 2022/11/01 16:32:24 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:28 time: 0.0789 data_time: 0.0091 memory: 3208 2022/11/01 16:32:24 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:28 time: 0.0744 data_time: 0.0024 memory: 3208 2022/11/01 16:32:25 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:00:26 time: 0.0754 data_time: 0.0024 memory: 3208 2022/11/01 16:32:25 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:00:26 time: 0.0801 data_time: 0.0025 memory: 3208 2022/11/01 16:32:26 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:31 time: 0.0922 data_time: 0.0037 memory: 3208 2022/11/01 16:32:26 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:31 time: 0.0861 data_time: 0.0038 memory: 3208 2022/11/01 16:32:27 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:25 time: 0.0767 data_time: 0.0035 memory: 3208 2022/11/01 16:32:27 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:25 time: 0.0752 data_time: 0.0034 memory: 3208 2022/11/01 16:32:27 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:24 time: 0.0751 data_time: 0.0032 memory: 3208 2022/11/01 16:32:28 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:24 time: 0.0803 data_time: 0.0034 memory: 3208 2022/11/01 16:32:28 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:25 time: 0.0811 data_time: 0.0030 memory: 3208 2022/11/01 16:32:29 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:25 time: 0.0877 data_time: 0.0126 memory: 3208 2022/11/01 16:32:29 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:27 time: 0.0923 data_time: 0.0127 memory: 3208 2022/11/01 16:32:29 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:27 time: 0.0841 data_time: 0.0036 memory: 3208 2022/11/01 16:32:30 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:00:22 time: 0.0763 data_time: 0.0034 memory: 3208 2022/11/01 16:32:30 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:00:22 time: 0.0775 data_time: 0.0037 memory: 3208 2022/11/01 16:32:31 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:00:24 time: 0.0880 data_time: 0.0117 memory: 3208 2022/11/01 16:32:31 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:00:24 time: 0.0888 data_time: 0.0112 memory: 3208 2022/11/01 16:32:31 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:20 time: 0.0767 data_time: 0.0033 memory: 3208 2022/11/01 16:32:32 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:20 time: 0.0770 data_time: 0.0042 memory: 3208 2022/11/01 16:32:32 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:20 time: 0.0785 data_time: 0.0041 memory: 3208 2022/11/01 16:32:33 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:20 time: 0.0732 data_time: 0.0032 memory: 3208 2022/11/01 16:32:33 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:19 time: 0.0770 data_time: 0.0032 memory: 3208 2022/11/01 16:32:33 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:19 time: 0.0796 data_time: 0.0033 memory: 3208 2022/11/01 16:32:34 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:18 time: 0.0779 data_time: 0.0034 memory: 3208 2022/11/01 16:32:34 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:18 time: 0.0771 data_time: 0.0058 memory: 3208 2022/11/01 16:32:35 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:00:17 time: 0.0764 data_time: 0.0057 memory: 3208 2022/11/01 16:32:35 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:00:17 time: 0.0735 data_time: 0.0027 memory: 3208 2022/11/01 16:32:35 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:00:16 time: 0.0766 data_time: 0.0025 memory: 3208 2022/11/01 16:32:36 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:00:16 time: 0.0795 data_time: 0.0029 memory: 3208 2022/11/01 16:32:36 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:00:16 time: 0.0777 data_time: 0.0030 memory: 3208 2022/11/01 16:32:36 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:00:16 time: 0.0769 data_time: 0.0028 memory: 3208 2022/11/01 16:32:37 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:00:14 time: 0.0731 data_time: 0.0028 memory: 3208 2022/11/01 16:32:37 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:00:14 time: 0.0731 data_time: 0.0029 memory: 3208 2022/11/01 16:32:38 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:00:14 time: 0.0747 data_time: 0.0030 memory: 3208 2022/11/01 16:32:38 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:14 time: 0.0759 data_time: 0.0029 memory: 3208 2022/11/01 16:32:38 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:00:13 time: 0.0753 data_time: 0.0028 memory: 3208 2022/11/01 16:32:39 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:00:13 time: 0.0922 data_time: 0.0031 memory: 3208 2022/11/01 16:32:39 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:00:15 time: 0.0914 data_time: 0.0030 memory: 3208 2022/11/01 16:32:40 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:00:15 time: 0.0730 data_time: 0.0029 memory: 3208 2022/11/01 16:32:40 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:13 time: 0.0835 data_time: 0.0028 memory: 3208 2022/11/01 16:32:40 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:13 time: 0.0822 data_time: 0.0025 memory: 3208 2022/11/01 16:32:41 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:11 time: 0.0756 data_time: 0.0025 memory: 3208 2022/11/01 16:32:41 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:11 time: 0.0741 data_time: 0.0024 memory: 3208 2022/11/01 16:32:42 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:10 time: 0.0714 data_time: 0.0023 memory: 3208 2022/11/01 16:32:42 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:10 time: 0.0745 data_time: 0.0024 memory: 3208 2022/11/01 16:32:42 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:09 time: 0.0711 data_time: 0.0026 memory: 3208 2022/11/01 16:32:43 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:09 time: 0.0677 data_time: 0.0025 memory: 3208 2022/11/01 16:32:43 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:08 time: 0.0720 data_time: 0.0024 memory: 3208 2022/11/01 16:32:43 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:08 time: 0.0734 data_time: 0.0023 memory: 3208 2022/11/01 16:32:44 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:08 time: 0.0788 data_time: 0.0100 memory: 3208 2022/11/01 16:32:44 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:08 time: 0.0786 data_time: 0.0102 memory: 3208 2022/11/01 16:32:44 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:07 time: 0.0705 data_time: 0.0025 memory: 3208 2022/11/01 16:32:45 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:07 time: 0.0714 data_time: 0.0023 memory: 3208 2022/11/01 16:32:45 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:06 time: 0.0740 data_time: 0.0027 memory: 3208 2022/11/01 16:32:46 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:06 time: 0.0747 data_time: 0.0029 memory: 3208 2022/11/01 16:32:46 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:05 time: 0.0701 data_time: 0.0026 memory: 3208 2022/11/01 16:32:46 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:05 time: 0.0703 data_time: 0.0026 memory: 3208 2022/11/01 16:32:47 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:05 time: 0.0730 data_time: 0.0025 memory: 3208 2022/11/01 16:32:47 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:05 time: 0.0728 data_time: 0.0024 memory: 3208 2022/11/01 16:32:47 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:04 time: 0.0725 data_time: 0.0025 memory: 3208 2022/11/01 16:32:48 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:04 time: 0.0764 data_time: 0.0029 memory: 3208 2022/11/01 16:32:48 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:04 time: 0.0801 data_time: 0.0033 memory: 3208 2022/11/01 16:32:49 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:04 time: 0.0789 data_time: 0.0034 memory: 3208 2022/11/01 16:32:49 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:02 time: 0.0746 data_time: 0.0032 memory: 3208 2022/11/01 16:32:49 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:02 time: 0.0709 data_time: 0.0028 memory: 3208 2022/11/01 16:32:50 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:02 time: 0.0708 data_time: 0.0027 memory: 3208 2022/11/01 16:32:50 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:02 time: 0.0718 data_time: 0.0029 memory: 3208 2022/11/01 16:32:50 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:01 time: 0.0743 data_time: 0.0030 memory: 3208 2022/11/01 16:32:51 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:01 time: 0.0747 data_time: 0.0029 memory: 3208 2022/11/01 16:32:51 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:00 time: 0.0763 data_time: 0.0028 memory: 3208 2022/11/01 16:32:52 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:00 time: 0.0791 data_time: 0.0027 memory: 3208 2022/11/01 16:32:52 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.0755 data_time: 0.0027 memory: 3208 2022/11/01 16:32:52 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 16:32:52 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7795, precision: 0.6121, hmean: 0.6857 2022/11/01 16:32:52 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7795, precision: 0.6121, hmean: 0.6857 2022/11/01 16:32:52 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7795, precision: 0.6121, hmean: 0.6857 2022/11/01 16:32:52 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7795, precision: 0.6565, hmean: 0.7127 2022/11/01 16:32:52 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7785, precision: 0.7254, hmean: 0.7510 2022/11/01 16:32:52 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7703, precision: 0.7786, hmean: 0.7744 2022/11/01 16:32:52 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7227, precision: 0.8504, hmean: 0.7814 2022/11/01 16:32:52 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.8504 icdar/recall: 0.7227 icdar/hmean: 0.7814 2022/11/01 16:34:31 - mmengine - INFO - Epoch(train) [81][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 10.3335 data_time: 9.4654 memory: 27783 loss: 0.2407 loss_text: 0.1660 loss_kernel: 0.0746 2022/11/01 16:34:36 - mmengine - INFO - Epoch(train) [81][10/63] lr: 1.0000e-04 eta: 20:56:25 time: 10.4436 data_time: 9.4776 memory: 27783 loss: 0.2287 loss_text: 0.1595 loss_kernel: 0.0692 2022/11/01 16:34:41 - mmengine - INFO - Epoch(train) [81][15/63] lr: 1.0000e-04 eta: 20:56:25 time: 0.9953 data_time: 0.0262 memory: 27783 loss: 0.2286 loss_text: 0.1600 loss_kernel: 0.0687 2022/11/01 16:34:46 - mmengine - INFO - Epoch(train) [81][20/63] lr: 1.0000e-04 eta: 20:54:34 time: 0.9538 data_time: 0.0202 memory: 27783 loss: 0.2320 loss_text: 0.1613 loss_kernel: 0.0707 2022/11/01 16:34:51 - mmengine - INFO - Epoch(train) [81][25/63] lr: 1.0000e-04 eta: 20:54:34 time: 0.9963 data_time: 0.0296 memory: 27783 loss: 0.2331 loss_text: 0.1625 loss_kernel: 0.0706 2022/11/01 16:34:56 - mmengine - INFO - Epoch(train) [81][30/63] lr: 1.0000e-04 eta: 20:52:46 time: 0.9739 data_time: 0.0217 memory: 27783 loss: 0.2470 loss_text: 0.1720 loss_kernel: 0.0750 2022/11/01 16:35:01 - mmengine - INFO - Epoch(train) [81][35/63] lr: 1.0000e-04 eta: 20:52:46 time: 0.9431 data_time: 0.0218 memory: 27783 loss: 0.2369 loss_text: 0.1647 loss_kernel: 0.0722 2022/11/01 16:35:05 - mmengine - INFO - Epoch(train) [81][40/63] lr: 1.0000e-04 eta: 20:50:55 time: 0.9338 data_time: 0.0212 memory: 27783 loss: 0.2754 loss_text: 0.1911 loss_kernel: 0.0843 2022/11/01 16:35:10 - mmengine - INFO - Epoch(train) [81][45/63] lr: 1.0000e-04 eta: 20:50:55 time: 0.9559 data_time: 0.0199 memory: 27783 loss: 0.3033 loss_text: 0.2101 loss_kernel: 0.0932 2022/11/01 16:35:15 - mmengine - INFO - Epoch(train) [81][50/63] lr: 1.0000e-04 eta: 20:49:09 time: 1.0035 data_time: 0.0326 memory: 27783 loss: 0.2608 loss_text: 0.1800 loss_kernel: 0.0807 2022/11/01 16:35:20 - mmengine - INFO - Epoch(train) [81][55/63] lr: 1.0000e-04 eta: 20:49:09 time: 0.9890 data_time: 0.0230 memory: 27783 loss: 0.2356 loss_text: 0.1628 loss_kernel: 0.0728 2022/11/01 16:35:25 - mmengine - INFO - Epoch(train) [81][60/63] lr: 1.0000e-04 eta: 20:47:22 time: 0.9717 data_time: 0.0183 memory: 27783 loss: 0.2277 loss_text: 0.1576 loss_kernel: 0.0701 2022/11/01 16:35:27 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:37:08 - mmengine - INFO - Epoch(train) [82][5/63] lr: 1.0000e-04 eta: 20:47:22 time: 10.4940 data_time: 9.4996 memory: 27783 loss: 0.2401 loss_text: 0.1685 loss_kernel: 0.0716 2022/11/01 16:37:13 - mmengine - INFO - Epoch(train) [82][10/63] lr: 1.0000e-04 eta: 20:54:55 time: 10.5342 data_time: 9.5149 memory: 27783 loss: 0.2779 loss_text: 0.1961 loss_kernel: 0.0819 2022/11/01 16:37:18 - mmengine - INFO - Epoch(train) [82][15/63] lr: 1.0000e-04 eta: 20:54:55 time: 0.9601 data_time: 0.0240 memory: 27783 loss: 0.2485 loss_text: 0.1743 loss_kernel: 0.0742 2022/11/01 16:37:23 - mmengine - INFO - Epoch(train) [82][20/63] lr: 1.0000e-04 eta: 20:53:08 time: 0.9834 data_time: 0.0183 memory: 27783 loss: 0.1960 loss_text: 0.1363 loss_kernel: 0.0597 2022/11/01 16:37:27 - mmengine - INFO - Epoch(train) [82][25/63] lr: 1.0000e-04 eta: 20:53:08 time: 0.9847 data_time: 0.0300 memory: 27783 loss: 0.1929 loss_text: 0.1346 loss_kernel: 0.0583 2022/11/01 16:37:32 - mmengine - INFO - Epoch(train) [82][30/63] lr: 1.0000e-04 eta: 20:51:18 time: 0.9416 data_time: 0.0179 memory: 27783 loss: 0.2540 loss_text: 0.1798 loss_kernel: 0.0742 2022/11/01 16:37:37 - mmengine - INFO - Epoch(train) [82][35/63] lr: 1.0000e-04 eta: 20:51:18 time: 0.9234 data_time: 0.0169 memory: 27783 loss: 0.2683 loss_text: 0.1877 loss_kernel: 0.0806 2022/11/01 16:37:41 - mmengine - INFO - Epoch(train) [82][40/63] lr: 1.0000e-04 eta: 20:49:29 time: 0.9428 data_time: 0.0179 memory: 27783 loss: 0.2456 loss_text: 0.1702 loss_kernel: 0.0754 2022/11/01 16:37:47 - mmengine - INFO - Epoch(train) [82][45/63] lr: 1.0000e-04 eta: 20:49:29 time: 0.9916 data_time: 0.0188 memory: 27783 loss: 0.2972 loss_text: 0.2073 loss_kernel: 0.0899 2022/11/01 16:37:51 - mmengine - INFO - Epoch(train) [82][50/63] lr: 1.0000e-04 eta: 20:47:44 time: 0.9863 data_time: 0.0300 memory: 27783 loss: 0.2994 loss_text: 0.2093 loss_kernel: 0.0902 2022/11/01 16:37:56 - mmengine - INFO - Epoch(train) [82][55/63] lr: 1.0000e-04 eta: 20:47:44 time: 0.9476 data_time: 0.0182 memory: 27783 loss: 0.2596 loss_text: 0.1794 loss_kernel: 0.0802 2022/11/01 16:38:01 - mmengine - INFO - Epoch(train) [82][60/63] lr: 1.0000e-04 eta: 20:45:56 time: 0.9486 data_time: 0.0143 memory: 27783 loss: 0.2736 loss_text: 0.1916 loss_kernel: 0.0820 2022/11/01 16:38:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:39:43 - mmengine - INFO - Epoch(train) [83][5/63] lr: 1.0000e-04 eta: 20:45:56 time: 10.3765 data_time: 9.4874 memory: 27783 loss: 0.2177 loss_text: 0.1538 loss_kernel: 0.0639 2022/11/01 16:39:47 - mmengine - INFO - Epoch(train) [83][10/63] lr: 1.0000e-04 eta: 20:53:15 time: 10.4281 data_time: 9.5025 memory: 27783 loss: 0.2190 loss_text: 0.1518 loss_kernel: 0.0672 2022/11/01 16:39:52 - mmengine - INFO - Epoch(train) [83][15/63] lr: 1.0000e-04 eta: 20:53:15 time: 0.9477 data_time: 0.0222 memory: 27783 loss: 0.2249 loss_text: 0.1553 loss_kernel: 0.0696 2022/11/01 16:39:57 - mmengine - INFO - Epoch(train) [83][20/63] lr: 1.0000e-04 eta: 20:51:28 time: 0.9589 data_time: 0.0205 memory: 27783 loss: 0.2225 loss_text: 0.1551 loss_kernel: 0.0674 2022/11/01 16:40:02 - mmengine - INFO - Epoch(train) [83][25/63] lr: 1.0000e-04 eta: 20:51:28 time: 0.9841 data_time: 0.0250 memory: 27783 loss: 0.2086 loss_text: 0.1459 loss_kernel: 0.0627 2022/11/01 16:40:07 - mmengine - INFO - Epoch(train) [83][30/63] lr: 1.0000e-04 eta: 20:49:44 time: 1.0128 data_time: 0.0220 memory: 27783 loss: 0.2246 loss_text: 0.1559 loss_kernel: 0.0687 2022/11/01 16:40:12 - mmengine - INFO - Epoch(train) [83][35/63] lr: 1.0000e-04 eta: 20:49:44 time: 0.9766 data_time: 0.0319 memory: 27783 loss: 0.2345 loss_text: 0.1634 loss_kernel: 0.0711 2022/11/01 16:40:17 - mmengine - INFO - Epoch(train) [83][40/63] lr: 1.0000e-04 eta: 20:47:56 time: 0.9506 data_time: 0.0226 memory: 27783 loss: 0.2533 loss_text: 0.1762 loss_kernel: 0.0771 2022/11/01 16:40:22 - mmengine - INFO - Epoch(train) [83][45/63] lr: 1.0000e-04 eta: 20:47:56 time: 1.0155 data_time: 0.0229 memory: 27783 loss: 0.2491 loss_text: 0.1728 loss_kernel: 0.0763 2022/11/01 16:40:27 - mmengine - INFO - Epoch(train) [83][50/63] lr: 1.0000e-04 eta: 20:46:13 time: 1.0164 data_time: 0.0325 memory: 27783 loss: 0.2255 loss_text: 0.1571 loss_kernel: 0.0684 2022/11/01 16:40:31 - mmengine - INFO - Epoch(train) [83][55/63] lr: 1.0000e-04 eta: 20:46:13 time: 0.9421 data_time: 0.0192 memory: 27783 loss: 0.2282 loss_text: 0.1592 loss_kernel: 0.0690 2022/11/01 16:40:36 - mmengine - INFO - Epoch(train) [83][60/63] lr: 1.0000e-04 eta: 20:44:25 time: 0.9290 data_time: 0.0171 memory: 27783 loss: 0.2579 loss_text: 0.1794 loss_kernel: 0.0785 2022/11/01 16:40:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:42:19 - mmengine - INFO - Epoch(train) [84][5/63] lr: 1.0000e-04 eta: 20:44:25 time: 10.4444 data_time: 9.5440 memory: 27783 loss: 0.2231 loss_text: 0.1548 loss_kernel: 0.0682 2022/11/01 16:42:24 - mmengine - INFO - Epoch(train) [84][10/63] lr: 1.0000e-04 eta: 20:51:43 time: 10.4961 data_time: 9.5525 memory: 27783 loss: 0.2324 loss_text: 0.1624 loss_kernel: 0.0700 2022/11/01 16:42:28 - mmengine - INFO - Epoch(train) [84][15/63] lr: 1.0000e-04 eta: 20:51:43 time: 0.9558 data_time: 0.0247 memory: 27783 loss: 0.2406 loss_text: 0.1686 loss_kernel: 0.0720 2022/11/01 16:42:34 - mmengine - INFO - Epoch(train) [84][20/63] lr: 1.0000e-04 eta: 20:49:59 time: 1.0048 data_time: 0.0251 memory: 27783 loss: 0.2352 loss_text: 0.1635 loss_kernel: 0.0717 2022/11/01 16:42:38 - mmengine - INFO - Epoch(train) [84][25/63] lr: 1.0000e-04 eta: 20:49:59 time: 1.0043 data_time: 0.0233 memory: 27783 loss: 0.2663 loss_text: 0.1868 loss_kernel: 0.0795 2022/11/01 16:42:43 - mmengine - INFO - Epoch(train) [84][30/63] lr: 1.0000e-04 eta: 20:48:12 time: 0.9458 data_time: 0.0204 memory: 27783 loss: 0.2738 loss_text: 0.1930 loss_kernel: 0.0807 2022/11/01 16:42:48 - mmengine - INFO - Epoch(train) [84][35/63] lr: 1.0000e-04 eta: 20:48:12 time: 0.9695 data_time: 0.0273 memory: 27783 loss: 0.2093 loss_text: 0.1463 loss_kernel: 0.0629 2022/11/01 16:42:53 - mmengine - INFO - Epoch(train) [84][40/63] lr: 1.0000e-04 eta: 20:46:30 time: 1.0205 data_time: 0.0210 memory: 27783 loss: 0.2266 loss_text: 0.1576 loss_kernel: 0.0690 2022/11/01 16:42:58 - mmengine - INFO - Epoch(train) [84][45/63] lr: 1.0000e-04 eta: 20:46:30 time: 0.9919 data_time: 0.0222 memory: 27783 loss: 0.2294 loss_text: 0.1587 loss_kernel: 0.0707 2022/11/01 16:43:03 - mmengine - INFO - Epoch(train) [84][50/63] lr: 1.0000e-04 eta: 20:44:44 time: 0.9495 data_time: 0.0247 memory: 27783 loss: 0.2076 loss_text: 0.1435 loss_kernel: 0.0641 2022/11/01 16:43:08 - mmengine - INFO - Epoch(train) [84][55/63] lr: 1.0000e-04 eta: 20:44:44 time: 0.9498 data_time: 0.0205 memory: 27783 loss: 0.2240 loss_text: 0.1556 loss_kernel: 0.0684 2022/11/01 16:43:12 - mmengine - INFO - Epoch(train) [84][60/63] lr: 1.0000e-04 eta: 20:42:59 time: 0.9631 data_time: 0.0227 memory: 27783 loss: 0.2666 loss_text: 0.1865 loss_kernel: 0.0802 2022/11/01 16:43:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:44:55 - mmengine - INFO - Epoch(train) [85][5/63] lr: 1.0000e-04 eta: 20:42:59 time: 10.4206 data_time: 9.5232 memory: 27783 loss: 0.2415 loss_text: 0.1674 loss_kernel: 0.0742 2022/11/01 16:44:59 - mmengine - INFO - Epoch(train) [85][10/63] lr: 1.0000e-04 eta: 20:50:06 time: 10.4497 data_time: 9.5306 memory: 27783 loss: 0.2763 loss_text: 0.1920 loss_kernel: 0.0843 2022/11/01 16:45:04 - mmengine - INFO - Epoch(train) [85][15/63] lr: 1.0000e-04 eta: 20:50:06 time: 0.9365 data_time: 0.0200 memory: 27783 loss: 0.2777 loss_text: 0.1952 loss_kernel: 0.0825 2022/11/01 16:45:09 - mmengine - INFO - Epoch(train) [85][20/63] lr: 1.0000e-04 eta: 20:48:18 time: 0.9197 data_time: 0.0205 memory: 27783 loss: 0.2544 loss_text: 0.1783 loss_kernel: 0.0760 2022/11/01 16:45:13 - mmengine - INFO - Epoch(train) [85][25/63] lr: 1.0000e-04 eta: 20:48:18 time: 0.9278 data_time: 0.0191 memory: 27783 loss: 0.2424 loss_text: 0.1687 loss_kernel: 0.0737 2022/11/01 16:45:19 - mmengine - INFO - Epoch(train) [85][30/63] lr: 1.0000e-04 eta: 20:46:39 time: 1.0566 data_time: 0.0243 memory: 27783 loss: 0.2163 loss_text: 0.1510 loss_kernel: 0.0654 2022/11/01 16:45:24 - mmengine - INFO - Epoch(train) [85][35/63] lr: 1.0000e-04 eta: 20:46:39 time: 1.0650 data_time: 0.0368 memory: 27783 loss: 0.2128 loss_text: 0.1469 loss_kernel: 0.0659 2022/11/01 16:45:29 - mmengine - INFO - Epoch(train) [85][40/63] lr: 1.0000e-04 eta: 20:44:54 time: 0.9519 data_time: 0.0216 memory: 27783 loss: 0.2175 loss_text: 0.1496 loss_kernel: 0.0679 2022/11/01 16:45:34 - mmengine - INFO - Epoch(train) [85][45/63] lr: 1.0000e-04 eta: 20:44:54 time: 0.9556 data_time: 0.0213 memory: 27783 loss: 0.1945 loss_text: 0.1364 loss_kernel: 0.0581 2022/11/01 16:45:38 - mmengine - INFO - Epoch(train) [85][50/63] lr: 1.0000e-04 eta: 20:43:09 time: 0.9467 data_time: 0.0264 memory: 27783 loss: 0.1962 loss_text: 0.1374 loss_kernel: 0.0588 2022/11/01 16:45:43 - mmengine - INFO - Epoch(train) [85][55/63] lr: 1.0000e-04 eta: 20:43:09 time: 0.9238 data_time: 0.0165 memory: 27783 loss: 0.2589 loss_text: 0.1803 loss_kernel: 0.0787 2022/11/01 16:45:47 - mmengine - INFO - Epoch(train) [85][60/63] lr: 1.0000e-04 eta: 20:41:23 time: 0.9327 data_time: 0.0183 memory: 27783 loss: 0.2416 loss_text: 0.1675 loss_kernel: 0.0741 2022/11/01 16:45:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:47:29 - mmengine - INFO - Epoch(train) [86][5/63] lr: 1.0000e-04 eta: 20:41:23 time: 10.3064 data_time: 9.4420 memory: 27783 loss: 0.2010 loss_text: 0.1392 loss_kernel: 0.0618 2022/11/01 16:47:34 - mmengine - INFO - Epoch(train) [86][10/63] lr: 1.0000e-04 eta: 20:48:22 time: 10.4084 data_time: 9.4431 memory: 27783 loss: 0.2370 loss_text: 0.1647 loss_kernel: 0.0723 2022/11/01 16:47:39 - mmengine - INFO - Epoch(train) [86][15/63] lr: 1.0000e-04 eta: 20:48:22 time: 0.9791 data_time: 0.0185 memory: 27783 loss: 0.2552 loss_text: 0.1786 loss_kernel: 0.0767 2022/11/01 16:47:44 - mmengine - INFO - Epoch(train) [86][20/63] lr: 1.0000e-04 eta: 20:46:38 time: 0.9765 data_time: 0.0240 memory: 27783 loss: 0.2044 loss_text: 0.1429 loss_kernel: 0.0615 2022/11/01 16:47:49 - mmengine - INFO - Epoch(train) [86][25/63] lr: 1.0000e-04 eta: 20:46:38 time: 1.0790 data_time: 0.0272 memory: 27783 loss: 0.1644 loss_text: 0.1147 loss_kernel: 0.0497 2022/11/01 16:47:54 - mmengine - INFO - Epoch(train) [86][30/63] lr: 1.0000e-04 eta: 20:45:00 time: 1.0607 data_time: 0.0306 memory: 27783 loss: 0.2179 loss_text: 0.1503 loss_kernel: 0.0676 2022/11/01 16:47:59 - mmengine - INFO - Epoch(train) [86][35/63] lr: 1.0000e-04 eta: 20:45:00 time: 0.9645 data_time: 0.0301 memory: 27783 loss: 0.2604 loss_text: 0.1804 loss_kernel: 0.0800 2022/11/01 16:48:04 - mmengine - INFO - Epoch(train) [86][40/63] lr: 1.0000e-04 eta: 20:43:16 time: 0.9449 data_time: 0.0188 memory: 27783 loss: 0.2864 loss_text: 0.1990 loss_kernel: 0.0874 2022/11/01 16:48:08 - mmengine - INFO - Epoch(train) [86][45/63] lr: 1.0000e-04 eta: 20:43:16 time: 0.9352 data_time: 0.0186 memory: 27783 loss: 0.2920 loss_text: 0.2025 loss_kernel: 0.0895 2022/11/01 16:48:13 - mmengine - INFO - Epoch(train) [86][50/63] lr: 1.0000e-04 eta: 20:41:30 time: 0.9275 data_time: 0.0209 memory: 27783 loss: 0.2491 loss_text: 0.1735 loss_kernel: 0.0756 2022/11/01 16:48:18 - mmengine - INFO - Epoch(train) [86][55/63] lr: 1.0000e-04 eta: 20:41:30 time: 0.9201 data_time: 0.0171 memory: 27783 loss: 0.2313 loss_text: 0.1627 loss_kernel: 0.0686 2022/11/01 16:48:23 - mmengine - INFO - Epoch(train) [86][60/63] lr: 1.0000e-04 eta: 20:39:49 time: 0.9844 data_time: 0.0227 memory: 27783 loss: 0.2423 loss_text: 0.1698 loss_kernel: 0.0725 2022/11/01 16:48:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:50:05 - mmengine - INFO - Epoch(train) [87][5/63] lr: 1.0000e-04 eta: 20:39:49 time: 10.4252 data_time: 9.4928 memory: 27783 loss: 0.2463 loss_text: 0.1700 loss_kernel: 0.0762 2022/11/01 16:50:11 - mmengine - INFO - Epoch(train) [87][10/63] lr: 1.0000e-04 eta: 20:46:48 time: 10.5168 data_time: 9.5087 memory: 27783 loss: 0.2399 loss_text: 0.1667 loss_kernel: 0.0731 2022/11/01 16:50:16 - mmengine - INFO - Epoch(train) [87][15/63] lr: 1.0000e-04 eta: 20:46:48 time: 1.0173 data_time: 0.0291 memory: 27783 loss: 0.2586 loss_text: 0.1798 loss_kernel: 0.0788 2022/11/01 16:50:21 - mmengine - INFO - Epoch(train) [87][20/63] lr: 1.0000e-04 eta: 20:45:09 time: 1.0429 data_time: 0.0211 memory: 27783 loss: 0.2514 loss_text: 0.1750 loss_kernel: 0.0764 2022/11/01 16:50:26 - mmengine - INFO - Epoch(train) [87][25/63] lr: 1.0000e-04 eta: 20:45:09 time: 1.0142 data_time: 0.0340 memory: 27783 loss: 0.2782 loss_text: 0.1940 loss_kernel: 0.0842 2022/11/01 16:50:31 - mmengine - INFO - Epoch(train) [87][30/63] lr: 1.0000e-04 eta: 20:43:26 time: 0.9586 data_time: 0.0214 memory: 27783 loss: 0.2552 loss_text: 0.1784 loss_kernel: 0.0768 2022/11/01 16:50:35 - mmengine - INFO - Epoch(train) [87][35/63] lr: 1.0000e-04 eta: 20:43:26 time: 0.9599 data_time: 0.0202 memory: 27783 loss: 0.2466 loss_text: 0.1719 loss_kernel: 0.0747 2022/11/01 16:50:40 - mmengine - INFO - Epoch(train) [87][40/63] lr: 1.0000e-04 eta: 20:41:42 time: 0.9379 data_time: 0.0213 memory: 27783 loss: 0.2380 loss_text: 0.1661 loss_kernel: 0.0719 2022/11/01 16:50:45 - mmengine - INFO - Epoch(train) [87][45/63] lr: 1.0000e-04 eta: 20:41:42 time: 0.9609 data_time: 0.0207 memory: 27783 loss: 0.2319 loss_text: 0.1617 loss_kernel: 0.0702 2022/11/01 16:50:50 - mmengine - INFO - Epoch(train) [87][50/63] lr: 1.0000e-04 eta: 20:40:02 time: 1.0004 data_time: 0.0491 memory: 27783 loss: 0.2189 loss_text: 0.1512 loss_kernel: 0.0677 2022/11/01 16:50:55 - mmengine - INFO - Epoch(train) [87][55/63] lr: 1.0000e-04 eta: 20:40:02 time: 0.9785 data_time: 0.0382 memory: 27783 loss: 0.2342 loss_text: 0.1660 loss_kernel: 0.0681 2022/11/01 16:50:59 - mmengine - INFO - Epoch(train) [87][60/63] lr: 1.0000e-04 eta: 20:38:18 time: 0.9384 data_time: 0.0158 memory: 27783 loss: 0.2510 loss_text: 0.1777 loss_kernel: 0.0733 2022/11/01 16:51:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:52:41 - mmengine - INFO - Epoch(train) [88][5/63] lr: 1.0000e-04 eta: 20:38:18 time: 10.3764 data_time: 9.4565 memory: 27783 loss: 0.2347 loss_text: 0.1655 loss_kernel: 0.0692 2022/11/01 16:52:46 - mmengine - INFO - Epoch(train) [88][10/63] lr: 1.0000e-04 eta: 20:45:08 time: 10.4528 data_time: 9.4704 memory: 27783 loss: 0.1970 loss_text: 0.1377 loss_kernel: 0.0594 2022/11/01 16:52:51 - mmengine - INFO - Epoch(train) [88][15/63] lr: 1.0000e-04 eta: 20:45:08 time: 0.9438 data_time: 0.0218 memory: 27783 loss: 0.2061 loss_text: 0.1421 loss_kernel: 0.0641 2022/11/01 16:52:56 - mmengine - INFO - Epoch(train) [88][20/63] lr: 1.0000e-04 eta: 20:43:25 time: 0.9536 data_time: 0.0212 memory: 27783 loss: 0.2350 loss_text: 0.1625 loss_kernel: 0.0725 2022/11/01 16:53:00 - mmengine - INFO - Epoch(train) [88][25/63] lr: 1.0000e-04 eta: 20:43:25 time: 0.9545 data_time: 0.0261 memory: 27783 loss: 0.2667 loss_text: 0.1857 loss_kernel: 0.0810 2022/11/01 16:53:05 - mmengine - INFO - Epoch(train) [88][30/63] lr: 1.0000e-04 eta: 20:41:41 time: 0.9389 data_time: 0.0219 memory: 27783 loss: 0.2585 loss_text: 0.1800 loss_kernel: 0.0785 2022/11/01 16:53:10 - mmengine - INFO - Epoch(train) [88][35/63] lr: 1.0000e-04 eta: 20:41:41 time: 0.9739 data_time: 0.0244 memory: 27783 loss: 0.2365 loss_text: 0.1664 loss_kernel: 0.0701 2022/11/01 16:53:15 - mmengine - INFO - Epoch(train) [88][40/63] lr: 1.0000e-04 eta: 20:40:02 time: 0.9990 data_time: 0.0170 memory: 27783 loss: 0.2406 loss_text: 0.1705 loss_kernel: 0.0701 2022/11/01 16:53:20 - mmengine - INFO - Epoch(train) [88][45/63] lr: 1.0000e-04 eta: 20:40:02 time: 0.9979 data_time: 0.0240 memory: 27783 loss: 0.1992 loss_text: 0.1394 loss_kernel: 0.0598 2022/11/01 16:53:25 - mmengine - INFO - Epoch(train) [88][50/63] lr: 1.0000e-04 eta: 20:38:21 time: 0.9650 data_time: 0.0296 memory: 27783 loss: 0.1988 loss_text: 0.1387 loss_kernel: 0.0601 2022/11/01 16:53:29 - mmengine - INFO - Epoch(train) [88][55/63] lr: 1.0000e-04 eta: 20:38:21 time: 0.9164 data_time: 0.0163 memory: 27783 loss: 0.2530 loss_text: 0.1764 loss_kernel: 0.0766 2022/11/01 16:53:34 - mmengine - INFO - Epoch(train) [88][60/63] lr: 1.0000e-04 eta: 20:36:36 time: 0.8996 data_time: 0.0160 memory: 27783 loss: 0.2653 loss_text: 0.1838 loss_kernel: 0.0815 2022/11/01 16:53:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:55:17 - mmengine - INFO - Epoch(train) [89][5/63] lr: 1.0000e-04 eta: 20:36:36 time: 10.4620 data_time: 9.5822 memory: 27783 loss: 0.2446 loss_text: 0.1685 loss_kernel: 0.0761 2022/11/01 16:55:22 - mmengine - INFO - Epoch(train) [89][10/63] lr: 1.0000e-04 eta: 20:43:25 time: 10.5518 data_time: 9.6009 memory: 27783 loss: 0.2185 loss_text: 0.1513 loss_kernel: 0.0672 2022/11/01 16:55:27 - mmengine - INFO - Epoch(train) [89][15/63] lr: 1.0000e-04 eta: 20:43:25 time: 1.0133 data_time: 0.0268 memory: 27783 loss: 0.2432 loss_text: 0.1704 loss_kernel: 0.0728 2022/11/01 16:55:32 - mmengine - INFO - Epoch(train) [89][20/63] lr: 1.0000e-04 eta: 20:41:47 time: 1.0245 data_time: 0.0220 memory: 27783 loss: 0.2610 loss_text: 0.1809 loss_kernel: 0.0801 2022/11/01 16:55:37 - mmengine - INFO - Epoch(train) [89][25/63] lr: 1.0000e-04 eta: 20:41:47 time: 1.0110 data_time: 0.0353 memory: 27783 loss: 0.2215 loss_text: 0.1541 loss_kernel: 0.0674 2022/11/01 16:55:42 - mmengine - INFO - Epoch(train) [89][30/63] lr: 1.0000e-04 eta: 20:40:06 time: 0.9581 data_time: 0.0203 memory: 27783 loss: 0.2270 loss_text: 0.1592 loss_kernel: 0.0678 2022/11/01 16:55:47 - mmengine - INFO - Epoch(train) [89][35/63] lr: 1.0000e-04 eta: 20:40:06 time: 1.0289 data_time: 0.0195 memory: 27783 loss: 0.2535 loss_text: 0.1765 loss_kernel: 0.0770 2022/11/01 16:55:52 - mmengine - INFO - Epoch(train) [89][40/63] lr: 1.0000e-04 eta: 20:38:29 time: 1.0346 data_time: 0.0204 memory: 27783 loss: 0.2571 loss_text: 0.1794 loss_kernel: 0.0777 2022/11/01 16:55:57 - mmengine - INFO - Epoch(train) [89][45/63] lr: 1.0000e-04 eta: 20:38:29 time: 0.9720 data_time: 0.0271 memory: 27783 loss: 0.2574 loss_text: 0.1794 loss_kernel: 0.0780 2022/11/01 16:56:03 - mmengine - INFO - Epoch(train) [89][50/63] lr: 1.0000e-04 eta: 20:36:54 time: 1.0482 data_time: 0.0389 memory: 27783 loss: 0.2206 loss_text: 0.1532 loss_kernel: 0.0675 2022/11/01 16:56:07 - mmengine - INFO - Epoch(train) [89][55/63] lr: 1.0000e-04 eta: 20:36:54 time: 1.0143 data_time: 0.0187 memory: 27783 loss: 0.2287 loss_text: 0.1592 loss_kernel: 0.0695 2022/11/01 16:56:12 - mmengine - INFO - Epoch(train) [89][60/63] lr: 1.0000e-04 eta: 20:35:12 time: 0.9418 data_time: 0.0149 memory: 27783 loss: 0.2360 loss_text: 0.1632 loss_kernel: 0.0728 2022/11/01 16:56:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 16:57:54 - mmengine - INFO - Epoch(train) [90][5/63] lr: 1.0000e-04 eta: 20:35:12 time: 10.3591 data_time: 9.4755 memory: 27783 loss: 0.2128 loss_text: 0.1471 loss_kernel: 0.0657 2022/11/01 16:57:59 - mmengine - INFO - Epoch(train) [90][10/63] lr: 1.0000e-04 eta: 20:41:50 time: 10.4480 data_time: 9.4947 memory: 27783 loss: 0.2239 loss_text: 0.1556 loss_kernel: 0.0683 2022/11/01 16:58:03 - mmengine - INFO - Epoch(train) [90][15/63] lr: 1.0000e-04 eta: 20:41:50 time: 0.9527 data_time: 0.0269 memory: 27783 loss: 0.2251 loss_text: 0.1573 loss_kernel: 0.0679 2022/11/01 16:58:08 - mmengine - INFO - Epoch(train) [90][20/63] lr: 1.0000e-04 eta: 20:40:08 time: 0.9495 data_time: 0.0211 memory: 27783 loss: 0.2053 loss_text: 0.1425 loss_kernel: 0.0628 2022/11/01 16:58:13 - mmengine - INFO - Epoch(train) [90][25/63] lr: 1.0000e-04 eta: 20:40:08 time: 0.9560 data_time: 0.0330 memory: 27783 loss: 0.1894 loss_text: 0.1315 loss_kernel: 0.0579 2022/11/01 16:58:19 - mmengine - INFO - Epoch(train) [90][30/63] lr: 1.0000e-04 eta: 20:38:34 time: 1.0635 data_time: 0.0192 memory: 27783 loss: 0.1936 loss_text: 0.1359 loss_kernel: 0.0577 2022/11/01 16:58:24 - mmengine - INFO - Epoch(train) [90][35/63] lr: 1.0000e-04 eta: 20:38:34 time: 1.1373 data_time: 0.0263 memory: 27783 loss: 0.2116 loss_text: 0.1478 loss_kernel: 0.0637 2022/11/01 16:58:29 - mmengine - INFO - Epoch(train) [90][40/63] lr: 1.0000e-04 eta: 20:36:59 time: 1.0552 data_time: 0.0298 memory: 27783 loss: 0.2688 loss_text: 0.1855 loss_kernel: 0.0833 2022/11/01 16:58:34 - mmengine - INFO - Epoch(train) [90][45/63] lr: 1.0000e-04 eta: 20:36:59 time: 0.9838 data_time: 0.0234 memory: 27783 loss: 0.2796 loss_text: 0.1922 loss_kernel: 0.0874 2022/11/01 16:58:39 - mmengine - INFO - Epoch(train) [90][50/63] lr: 1.0000e-04 eta: 20:35:18 time: 0.9371 data_time: 0.0289 memory: 27783 loss: 0.2286 loss_text: 0.1581 loss_kernel: 0.0706 2022/11/01 16:58:43 - mmengine - INFO - Epoch(train) [90][55/63] lr: 1.0000e-04 eta: 20:35:18 time: 0.9252 data_time: 0.0159 memory: 27783 loss: 0.2541 loss_text: 0.1745 loss_kernel: 0.0796 2022/11/01 16:58:48 - mmengine - INFO - Epoch(train) [90][60/63] lr: 1.0000e-04 eta: 20:33:37 time: 0.9173 data_time: 0.0140 memory: 27783 loss: 0.2643 loss_text: 0.1813 loss_kernel: 0.0831 2022/11/01 16:58:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:00:31 - mmengine - INFO - Epoch(train) [91][5/63] lr: 1.0000e-04 eta: 20:33:37 time: 10.4287 data_time: 9.5410 memory: 27783 loss: 0.2261 loss_text: 0.1589 loss_kernel: 0.0672 2022/11/01 17:00:35 - mmengine - INFO - Epoch(train) [91][10/63] lr: 1.0000e-04 eta: 20:40:10 time: 10.4863 data_time: 9.5609 memory: 27783 loss: 0.2222 loss_text: 0.1544 loss_kernel: 0.0678 2022/11/01 17:00:40 - mmengine - INFO - Epoch(train) [91][15/63] lr: 1.0000e-04 eta: 20:40:10 time: 0.9617 data_time: 0.0286 memory: 27783 loss: 0.2011 loss_text: 0.1392 loss_kernel: 0.0619 2022/11/01 17:00:45 - mmengine - INFO - Epoch(train) [91][20/63] lr: 1.0000e-04 eta: 20:38:32 time: 0.9880 data_time: 0.0235 memory: 27783 loss: 0.2318 loss_text: 0.1624 loss_kernel: 0.0694 2022/11/01 17:00:51 - mmengine - INFO - Epoch(train) [91][25/63] lr: 1.0000e-04 eta: 20:38:32 time: 1.0475 data_time: 0.0281 memory: 27783 loss: 0.2629 loss_text: 0.1837 loss_kernel: 0.0792 2022/11/01 17:00:56 - mmengine - INFO - Epoch(train) [91][30/63] lr: 1.0000e-04 eta: 20:36:57 time: 1.0382 data_time: 0.0190 memory: 27783 loss: 0.2432 loss_text: 0.1688 loss_kernel: 0.0744 2022/11/01 17:01:00 - mmengine - INFO - Epoch(train) [91][35/63] lr: 1.0000e-04 eta: 20:36:57 time: 0.9748 data_time: 0.0230 memory: 27783 loss: 0.2471 loss_text: 0.1733 loss_kernel: 0.0738 2022/11/01 17:01:05 - mmengine - INFO - Epoch(train) [91][40/63] lr: 1.0000e-04 eta: 20:35:18 time: 0.9540 data_time: 0.0192 memory: 27783 loss: 0.2558 loss_text: 0.1799 loss_kernel: 0.0759 2022/11/01 17:01:10 - mmengine - INFO - Epoch(train) [91][45/63] lr: 1.0000e-04 eta: 20:35:18 time: 0.9556 data_time: 0.0185 memory: 27783 loss: 0.2714 loss_text: 0.1884 loss_kernel: 0.0830 2022/11/01 17:01:15 - mmengine - INFO - Epoch(train) [91][50/63] lr: 1.0000e-04 eta: 20:33:40 time: 0.9834 data_time: 0.0246 memory: 27783 loss: 0.2480 loss_text: 0.1723 loss_kernel: 0.0757 2022/11/01 17:01:20 - mmengine - INFO - Epoch(train) [91][55/63] lr: 1.0000e-04 eta: 20:33:40 time: 0.9811 data_time: 0.0176 memory: 27783 loss: 0.2223 loss_text: 0.1546 loss_kernel: 0.0677 2022/11/01 17:01:25 - mmengine - INFO - Epoch(train) [91][60/63] lr: 1.0000e-04 eta: 20:32:02 time: 0.9566 data_time: 0.0200 memory: 27783 loss: 0.2377 loss_text: 0.1652 loss_kernel: 0.0726 2022/11/01 17:01:27 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:03:06 - mmengine - INFO - Epoch(train) [92][5/63] lr: 1.0000e-04 eta: 20:32:02 time: 10.3712 data_time: 9.4759 memory: 27783 loss: 0.2484 loss_text: 0.1731 loss_kernel: 0.0753 2022/11/01 17:03:12 - mmengine - INFO - Epoch(train) [92][10/63] lr: 1.0000e-04 eta: 20:38:28 time: 10.4577 data_time: 9.4844 memory: 27783 loss: 0.2336 loss_text: 0.1639 loss_kernel: 0.0697 2022/11/01 17:03:17 - mmengine - INFO - Epoch(train) [92][15/63] lr: 1.0000e-04 eta: 20:38:28 time: 1.0069 data_time: 0.0229 memory: 27783 loss: 0.2271 loss_text: 0.1583 loss_kernel: 0.0688 2022/11/01 17:03:21 - mmengine - INFO - Epoch(train) [92][20/63] lr: 1.0000e-04 eta: 20:36:50 time: 0.9711 data_time: 0.0251 memory: 27783 loss: 0.2386 loss_text: 0.1660 loss_kernel: 0.0726 2022/11/01 17:03:26 - mmengine - INFO - Epoch(train) [92][25/63] lr: 1.0000e-04 eta: 20:36:50 time: 0.9697 data_time: 0.0262 memory: 27783 loss: 0.2340 loss_text: 0.1615 loss_kernel: 0.0725 2022/11/01 17:03:31 - mmengine - INFO - Epoch(train) [92][30/63] lr: 1.0000e-04 eta: 20:35:14 time: 1.0052 data_time: 0.0217 memory: 27783 loss: 0.2160 loss_text: 0.1482 loss_kernel: 0.0678 2022/11/01 17:03:36 - mmengine - INFO - Epoch(train) [92][35/63] lr: 1.0000e-04 eta: 20:35:14 time: 1.0070 data_time: 0.0234 memory: 27783 loss: 0.1788 loss_text: 0.1230 loss_kernel: 0.0558 2022/11/01 17:03:41 - mmengine - INFO - Epoch(train) [92][40/63] lr: 1.0000e-04 eta: 20:33:36 time: 0.9584 data_time: 0.0216 memory: 27783 loss: 0.2157 loss_text: 0.1502 loss_kernel: 0.0655 2022/11/01 17:03:46 - mmengine - INFO - Epoch(train) [92][45/63] lr: 1.0000e-04 eta: 20:33:36 time: 0.9775 data_time: 0.0247 memory: 27783 loss: 0.2551 loss_text: 0.1778 loss_kernel: 0.0772 2022/11/01 17:03:51 - mmengine - INFO - Epoch(train) [92][50/63] lr: 1.0000e-04 eta: 20:32:00 time: 1.0088 data_time: 0.0296 memory: 27783 loss: 0.2569 loss_text: 0.1787 loss_kernel: 0.0782 2022/11/01 17:03:57 - mmengine - INFO - Epoch(train) [92][55/63] lr: 1.0000e-04 eta: 20:32:00 time: 1.0528 data_time: 0.0254 memory: 27783 loss: 0.2451 loss_text: 0.1700 loss_kernel: 0.0751 2022/11/01 17:04:01 - mmengine - INFO - Epoch(train) [92][60/63] lr: 1.0000e-04 eta: 20:30:25 time: 0.9937 data_time: 0.0206 memory: 27783 loss: 0.2863 loss_text: 0.2000 loss_kernel: 0.0863 2022/11/01 17:04:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:05:45 - mmengine - INFO - Epoch(train) [93][5/63] lr: 1.0000e-04 eta: 20:30:25 time: 10.5066 data_time: 9.6000 memory: 27783 loss: 0.2708 loss_text: 0.1904 loss_kernel: 0.0804 2022/11/01 17:05:50 - mmengine - INFO - Epoch(train) [93][10/63] lr: 1.0000e-04 eta: 20:36:54 time: 10.6183 data_time: 9.6130 memory: 27783 loss: 0.2614 loss_text: 0.1846 loss_kernel: 0.0768 2022/11/01 17:05:54 - mmengine - INFO - Epoch(train) [93][15/63] lr: 1.0000e-04 eta: 20:36:54 time: 0.9664 data_time: 0.0312 memory: 27783 loss: 0.2947 loss_text: 0.2080 loss_kernel: 0.0867 2022/11/01 17:05:59 - mmengine - INFO - Epoch(train) [93][20/63] lr: 1.0000e-04 eta: 20:35:16 time: 0.9444 data_time: 0.0364 memory: 27783 loss: 0.2883 loss_text: 0.2010 loss_kernel: 0.0874 2022/11/01 17:06:04 - mmengine - INFO - Epoch(train) [93][25/63] lr: 1.0000e-04 eta: 20:35:16 time: 0.9648 data_time: 0.0428 memory: 27783 loss: 0.2337 loss_text: 0.1643 loss_kernel: 0.0695 2022/11/01 17:06:09 - mmengine - INFO - Epoch(train) [93][30/63] lr: 1.0000e-04 eta: 20:33:37 time: 0.9486 data_time: 0.0189 memory: 27783 loss: 0.2279 loss_text: 0.1620 loss_kernel: 0.0659 2022/11/01 17:06:13 - mmengine - INFO - Epoch(train) [93][35/63] lr: 1.0000e-04 eta: 20:33:37 time: 0.9323 data_time: 0.0210 memory: 27783 loss: 0.2246 loss_text: 0.1579 loss_kernel: 0.0667 2022/11/01 17:06:18 - mmengine - INFO - Epoch(train) [93][40/63] lr: 1.0000e-04 eta: 20:31:59 time: 0.9501 data_time: 0.0216 memory: 27783 loss: 0.2193 loss_text: 0.1527 loss_kernel: 0.0665 2022/11/01 17:06:23 - mmengine - INFO - Epoch(train) [93][45/63] lr: 1.0000e-04 eta: 20:31:59 time: 0.9527 data_time: 0.0184 memory: 27783 loss: 0.2350 loss_text: 0.1629 loss_kernel: 0.0720 2022/11/01 17:06:27 - mmengine - INFO - Epoch(train) [93][50/63] lr: 1.0000e-04 eta: 20:30:21 time: 0.9345 data_time: 0.0233 memory: 27783 loss: 0.2167 loss_text: 0.1503 loss_kernel: 0.0663 2022/11/01 17:06:32 - mmengine - INFO - Epoch(train) [93][55/63] lr: 1.0000e-04 eta: 20:30:21 time: 0.9160 data_time: 0.0181 memory: 27783 loss: 0.2414 loss_text: 0.1671 loss_kernel: 0.0743 2022/11/01 17:06:36 - mmengine - INFO - Epoch(train) [93][60/63] lr: 1.0000e-04 eta: 20:28:41 time: 0.9003 data_time: 0.0162 memory: 27783 loss: 0.2847 loss_text: 0.1966 loss_kernel: 0.0881 2022/11/01 17:06:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:08:18 - mmengine - INFO - Epoch(train) [94][5/63] lr: 1.0000e-04 eta: 20:28:41 time: 10.3416 data_time: 9.4523 memory: 27783 loss: 0.2505 loss_text: 0.1735 loss_kernel: 0.0770 2022/11/01 17:08:23 - mmengine - INFO - Epoch(train) [94][10/63] lr: 1.0000e-04 eta: 20:34:54 time: 10.4036 data_time: 9.4594 memory: 27783 loss: 0.2209 loss_text: 0.1540 loss_kernel: 0.0670 2022/11/01 17:08:28 - mmengine - INFO - Epoch(train) [94][15/63] lr: 1.0000e-04 eta: 20:34:54 time: 0.9667 data_time: 0.0233 memory: 27783 loss: 0.2110 loss_text: 0.1470 loss_kernel: 0.0640 2022/11/01 17:08:33 - mmengine - INFO - Epoch(train) [94][20/63] lr: 1.0000e-04 eta: 20:33:18 time: 0.9791 data_time: 0.0243 memory: 27783 loss: 0.2234 loss_text: 0.1551 loss_kernel: 0.0682 2022/11/01 17:08:37 - mmengine - INFO - Epoch(train) [94][25/63] lr: 1.0000e-04 eta: 20:33:18 time: 0.9519 data_time: 0.0227 memory: 27783 loss: 0.2378 loss_text: 0.1667 loss_kernel: 0.0711 2022/11/01 17:08:43 - mmengine - INFO - Epoch(train) [94][30/63] lr: 1.0000e-04 eta: 20:31:42 time: 0.9698 data_time: 0.0178 memory: 27783 loss: 0.2530 loss_text: 0.1758 loss_kernel: 0.0772 2022/11/01 17:08:47 - mmengine - INFO - Epoch(train) [94][35/63] lr: 1.0000e-04 eta: 20:31:42 time: 0.9902 data_time: 0.0242 memory: 27783 loss: 0.2705 loss_text: 0.1880 loss_kernel: 0.0824 2022/11/01 17:08:52 - mmengine - INFO - Epoch(train) [94][40/63] lr: 1.0000e-04 eta: 20:30:06 time: 0.9711 data_time: 0.0177 memory: 27783 loss: 0.2662 loss_text: 0.1846 loss_kernel: 0.0816 2022/11/01 17:08:57 - mmengine - INFO - Epoch(train) [94][45/63] lr: 1.0000e-04 eta: 20:30:06 time: 0.9605 data_time: 0.0177 memory: 27783 loss: 0.2364 loss_text: 0.1641 loss_kernel: 0.0722 2022/11/01 17:09:01 - mmengine - INFO - Epoch(train) [94][50/63] lr: 1.0000e-04 eta: 20:28:27 time: 0.9234 data_time: 0.0220 memory: 27783 loss: 0.2267 loss_text: 0.1579 loss_kernel: 0.0688 2022/11/01 17:09:07 - mmengine - INFO - Epoch(train) [94][55/63] lr: 1.0000e-04 eta: 20:28:27 time: 0.9662 data_time: 0.0216 memory: 27783 loss: 0.2129 loss_text: 0.1479 loss_kernel: 0.0650 2022/11/01 17:09:11 - mmengine - INFO - Epoch(train) [94][60/63] lr: 1.0000e-04 eta: 20:26:52 time: 0.9638 data_time: 0.0239 memory: 27783 loss: 0.2513 loss_text: 0.1754 loss_kernel: 0.0760 2022/11/01 17:09:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:10:54 - mmengine - INFO - Epoch(train) [95][5/63] lr: 1.0000e-04 eta: 20:26:52 time: 10.4707 data_time: 9.5945 memory: 27783 loss: 0.2361 loss_text: 0.1645 loss_kernel: 0.0716 2022/11/01 17:10:59 - mmengine - INFO - Epoch(train) [95][10/63] lr: 1.0000e-04 eta: 20:33:06 time: 10.5258 data_time: 9.6085 memory: 27783 loss: 0.2355 loss_text: 0.1627 loss_kernel: 0.0728 2022/11/01 17:11:04 - mmengine - INFO - Epoch(train) [95][15/63] lr: 1.0000e-04 eta: 20:33:06 time: 0.9518 data_time: 0.0231 memory: 27783 loss: 0.2232 loss_text: 0.1540 loss_kernel: 0.0692 2022/11/01 17:11:08 - mmengine - INFO - Epoch(train) [95][20/63] lr: 1.0000e-04 eta: 20:31:30 time: 0.9677 data_time: 0.0199 memory: 27783 loss: 0.2217 loss_text: 0.1538 loss_kernel: 0.0679 2022/11/01 17:11:13 - mmengine - INFO - Epoch(train) [95][25/63] lr: 1.0000e-04 eta: 20:31:30 time: 0.9561 data_time: 0.0306 memory: 27783 loss: 0.2096 loss_text: 0.1448 loss_kernel: 0.0647 2022/11/01 17:11:18 - mmengine - INFO - Epoch(train) [95][30/63] lr: 1.0000e-04 eta: 20:29:52 time: 0.9246 data_time: 0.0174 memory: 27783 loss: 0.2201 loss_text: 0.1511 loss_kernel: 0.0690 2022/11/01 17:11:23 - mmengine - INFO - Epoch(train) [95][35/63] lr: 1.0000e-04 eta: 20:29:52 time: 0.9382 data_time: 0.0209 memory: 27783 loss: 0.2198 loss_text: 0.1529 loss_kernel: 0.0669 2022/11/01 17:11:27 - mmengine - INFO - Epoch(train) [95][40/63] lr: 1.0000e-04 eta: 20:28:17 time: 0.9602 data_time: 0.0218 memory: 27783 loss: 0.2128 loss_text: 0.1484 loss_kernel: 0.0645 2022/11/01 17:11:33 - mmengine - INFO - Epoch(train) [95][45/63] lr: 1.0000e-04 eta: 20:28:17 time: 0.9959 data_time: 0.0222 memory: 27783 loss: 0.2434 loss_text: 0.1692 loss_kernel: 0.0741 2022/11/01 17:11:37 - mmengine - INFO - Epoch(train) [95][50/63] lr: 1.0000e-04 eta: 20:26:42 time: 0.9806 data_time: 0.0288 memory: 27783 loss: 0.2725 loss_text: 0.1906 loss_kernel: 0.0819 2022/11/01 17:11:42 - mmengine - INFO - Epoch(train) [95][55/63] lr: 1.0000e-04 eta: 20:26:42 time: 0.9259 data_time: 0.0152 memory: 27783 loss: 0.2341 loss_text: 0.1625 loss_kernel: 0.0716 2022/11/01 17:11:46 - mmengine - INFO - Epoch(train) [95][60/63] lr: 1.0000e-04 eta: 20:25:06 time: 0.9297 data_time: 0.0152 memory: 27783 loss: 0.1863 loss_text: 0.1277 loss_kernel: 0.0586 2022/11/01 17:11:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:13:28 - mmengine - INFO - Epoch(train) [96][5/63] lr: 1.0000e-04 eta: 20:25:06 time: 10.3381 data_time: 9.4966 memory: 27783 loss: 0.2314 loss_text: 0.1619 loss_kernel: 0.0695 2022/11/01 17:13:33 - mmengine - INFO - Epoch(train) [96][10/63] lr: 1.0000e-04 eta: 20:31:08 time: 10.3942 data_time: 9.5057 memory: 27783 loss: 0.2633 loss_text: 0.1825 loss_kernel: 0.0808 2022/11/01 17:13:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:13:38 - mmengine - INFO - Epoch(train) [96][15/63] lr: 1.0000e-04 eta: 20:31:08 time: 0.9597 data_time: 0.0657 memory: 27783 loss: 0.2505 loss_text: 0.1728 loss_kernel: 0.0777 2022/11/01 17:13:42 - mmengine - INFO - Epoch(train) [96][20/63] lr: 1.0000e-04 eta: 20:29:33 time: 0.9640 data_time: 0.0652 memory: 27783 loss: 0.2135 loss_text: 0.1472 loss_kernel: 0.0664 2022/11/01 17:13:47 - mmengine - INFO - Epoch(train) [96][25/63] lr: 1.0000e-04 eta: 20:29:33 time: 0.9007 data_time: 0.0218 memory: 27783 loss: 0.2454 loss_text: 0.1700 loss_kernel: 0.0754 2022/11/01 17:13:52 - mmengine - INFO - Epoch(train) [96][30/63] lr: 1.0000e-04 eta: 20:27:56 time: 0.9307 data_time: 0.0183 memory: 27783 loss: 0.2680 loss_text: 0.1866 loss_kernel: 0.0814 2022/11/01 17:13:56 - mmengine - INFO - Epoch(train) [96][35/63] lr: 1.0000e-04 eta: 20:27:56 time: 0.9478 data_time: 0.0185 memory: 27783 loss: 0.2280 loss_text: 0.1578 loss_kernel: 0.0703 2022/11/01 17:14:01 - mmengine - INFO - Epoch(train) [96][40/63] lr: 1.0000e-04 eta: 20:26:22 time: 0.9647 data_time: 0.0177 memory: 27783 loss: 0.1957 loss_text: 0.1343 loss_kernel: 0.0614 2022/11/01 17:14:06 - mmengine - INFO - Epoch(train) [96][45/63] lr: 1.0000e-04 eta: 20:26:22 time: 0.9675 data_time: 0.0265 memory: 27783 loss: 0.1957 loss_text: 0.1365 loss_kernel: 0.0592 2022/11/01 17:14:11 - mmengine - INFO - Epoch(train) [96][50/63] lr: 1.0000e-04 eta: 20:24:45 time: 0.9313 data_time: 0.0266 memory: 27783 loss: 0.2082 loss_text: 0.1478 loss_kernel: 0.0604 2022/11/01 17:14:15 - mmengine - INFO - Epoch(train) [96][55/63] lr: 1.0000e-04 eta: 20:24:45 time: 0.9447 data_time: 0.0159 memory: 27783 loss: 0.2726 loss_text: 0.1919 loss_kernel: 0.0808 2022/11/01 17:14:20 - mmengine - INFO - Epoch(train) [96][60/63] lr: 1.0000e-04 eta: 20:23:10 time: 0.9360 data_time: 0.0170 memory: 27783 loss: 0.2930 loss_text: 0.2055 loss_kernel: 0.0875 2022/11/01 17:14:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:16:03 - mmengine - INFO - Epoch(train) [97][5/63] lr: 1.0000e-04 eta: 20:23:10 time: 10.4556 data_time: 9.5846 memory: 27783 loss: 0.2548 loss_text: 0.1770 loss_kernel: 0.0779 2022/11/01 17:16:08 - mmengine - INFO - Epoch(train) [97][10/63] lr: 1.0000e-04 eta: 20:29:13 time: 10.5027 data_time: 9.5897 memory: 27783 loss: 0.2134 loss_text: 0.1482 loss_kernel: 0.0651 2022/11/01 17:16:12 - mmengine - INFO - Epoch(train) [97][15/63] lr: 1.0000e-04 eta: 20:29:13 time: 0.9126 data_time: 0.0195 memory: 27783 loss: 0.1991 loss_text: 0.1386 loss_kernel: 0.0605 2022/11/01 17:16:17 - mmengine - INFO - Epoch(train) [97][20/63] lr: 1.0000e-04 eta: 20:27:36 time: 0.9100 data_time: 0.0206 memory: 27783 loss: 0.2237 loss_text: 0.1542 loss_kernel: 0.0695 2022/11/01 17:16:22 - mmengine - INFO - Epoch(train) [97][25/63] lr: 1.0000e-04 eta: 20:27:36 time: 0.9871 data_time: 0.0206 memory: 27783 loss: 0.2319 loss_text: 0.1605 loss_kernel: 0.0714 2022/11/01 17:16:27 - mmengine - INFO - Epoch(train) [97][30/63] lr: 1.0000e-04 eta: 20:26:05 time: 1.0356 data_time: 0.0174 memory: 27783 loss: 0.2822 loss_text: 0.1964 loss_kernel: 0.0858 2022/11/01 17:16:32 - mmengine - INFO - Epoch(train) [97][35/63] lr: 1.0000e-04 eta: 20:26:05 time: 0.9720 data_time: 0.0211 memory: 27783 loss: 0.2745 loss_text: 0.1901 loss_kernel: 0.0844 2022/11/01 17:16:36 - mmengine - INFO - Epoch(train) [97][40/63] lr: 1.0000e-04 eta: 20:24:29 time: 0.9198 data_time: 0.0187 memory: 27783 loss: 0.2190 loss_text: 0.1518 loss_kernel: 0.0672 2022/11/01 17:16:41 - mmengine - INFO - Epoch(train) [97][45/63] lr: 1.0000e-04 eta: 20:24:29 time: 0.9261 data_time: 0.0242 memory: 27783 loss: 0.2407 loss_text: 0.1684 loss_kernel: 0.0723 2022/11/01 17:16:45 - mmengine - INFO - Epoch(train) [97][50/63] lr: 1.0000e-04 eta: 20:22:54 time: 0.9290 data_time: 0.0278 memory: 27783 loss: 0.2196 loss_text: 0.1531 loss_kernel: 0.0664 2022/11/01 17:16:50 - mmengine - INFO - Epoch(train) [97][55/63] lr: 1.0000e-04 eta: 20:22:54 time: 0.9316 data_time: 0.0211 memory: 27783 loss: 0.1875 loss_text: 0.1305 loss_kernel: 0.0570 2022/11/01 17:16:55 - mmengine - INFO - Epoch(train) [97][60/63] lr: 1.0000e-04 eta: 20:21:19 time: 0.9280 data_time: 0.0194 memory: 27783 loss: 0.2393 loss_text: 0.1668 loss_kernel: 0.0725 2022/11/01 17:16:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:18:37 - mmengine - INFO - Epoch(train) [98][5/63] lr: 1.0000e-04 eta: 20:21:19 time: 10.3871 data_time: 9.4782 memory: 27783 loss: 0.2362 loss_text: 0.1637 loss_kernel: 0.0725 2022/11/01 17:18:42 - mmengine - INFO - Epoch(train) [98][10/63] lr: 1.0000e-04 eta: 20:27:14 time: 10.4549 data_time: 9.4896 memory: 27783 loss: 0.2392 loss_text: 0.1654 loss_kernel: 0.0738 2022/11/01 17:18:47 - mmengine - INFO - Epoch(train) [98][15/63] lr: 1.0000e-04 eta: 20:27:14 time: 0.9578 data_time: 0.0244 memory: 27783 loss: 0.2225 loss_text: 0.1542 loss_kernel: 0.0683 2022/11/01 17:18:51 - mmengine - INFO - Epoch(train) [98][20/63] lr: 1.0000e-04 eta: 20:25:38 time: 0.9161 data_time: 0.0174 memory: 27783 loss: 0.2291 loss_text: 0.1593 loss_kernel: 0.0698 2022/11/01 17:18:56 - mmengine - INFO - Epoch(train) [98][25/63] lr: 1.0000e-04 eta: 20:25:38 time: 0.9044 data_time: 0.0216 memory: 27783 loss: 0.2795 loss_text: 0.1942 loss_kernel: 0.0853 2022/11/01 17:19:00 - mmengine - INFO - Epoch(train) [98][30/63] lr: 1.0000e-04 eta: 20:24:01 time: 0.8938 data_time: 0.0163 memory: 27783 loss: 0.2870 loss_text: 0.1989 loss_kernel: 0.0882 2022/11/01 17:19:05 - mmengine - INFO - Epoch(train) [98][35/63] lr: 1.0000e-04 eta: 20:24:01 time: 0.9293 data_time: 0.0242 memory: 27783 loss: 0.2650 loss_text: 0.1849 loss_kernel: 0.0801 2022/11/01 17:19:10 - mmengine - INFO - Epoch(train) [98][40/63] lr: 1.0000e-04 eta: 20:22:29 time: 0.9752 data_time: 0.0246 memory: 27783 loss: 0.2213 loss_text: 0.1553 loss_kernel: 0.0659 2022/11/01 17:19:14 - mmengine - INFO - Epoch(train) [98][45/63] lr: 1.0000e-04 eta: 20:22:29 time: 0.9594 data_time: 0.0203 memory: 27783 loss: 0.2232 loss_text: 0.1547 loss_kernel: 0.0686 2022/11/01 17:19:20 - mmengine - INFO - Epoch(train) [98][50/63] lr: 1.0000e-04 eta: 20:20:59 time: 1.0078 data_time: 0.0277 memory: 27783 loss: 0.2237 loss_text: 0.1539 loss_kernel: 0.0698 2022/11/01 17:19:24 - mmengine - INFO - Epoch(train) [98][55/63] lr: 1.0000e-04 eta: 20:20:59 time: 0.9946 data_time: 0.0183 memory: 27783 loss: 0.2011 loss_text: 0.1407 loss_kernel: 0.0603 2022/11/01 17:19:29 - mmengine - INFO - Epoch(train) [98][60/63] lr: 1.0000e-04 eta: 20:19:23 time: 0.9092 data_time: 0.0154 memory: 27783 loss: 0.2048 loss_text: 0.1440 loss_kernel: 0.0608 2022/11/01 17:19:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:21:12 - mmengine - INFO - Epoch(train) [99][5/63] lr: 1.0000e-04 eta: 20:19:23 time: 10.4857 data_time: 9.5857 memory: 27783 loss: 0.2042 loss_text: 0.1436 loss_kernel: 0.0606 2022/11/01 17:21:17 - mmengine - INFO - Epoch(train) [99][10/63] lr: 1.0000e-04 eta: 20:25:20 time: 10.5689 data_time: 9.6068 memory: 27783 loss: 0.2565 loss_text: 0.1795 loss_kernel: 0.0770 2022/11/01 17:21:22 - mmengine - INFO - Epoch(train) [99][15/63] lr: 1.0000e-04 eta: 20:25:20 time: 0.9401 data_time: 0.0278 memory: 27783 loss: 0.2465 loss_text: 0.1728 loss_kernel: 0.0738 2022/11/01 17:21:26 - mmengine - INFO - Epoch(train) [99][20/63] lr: 1.0000e-04 eta: 20:23:45 time: 0.9166 data_time: 0.0211 memory: 27783 loss: 0.2694 loss_text: 0.1896 loss_kernel: 0.0798 2022/11/01 17:21:31 - mmengine - INFO - Epoch(train) [99][25/63] lr: 1.0000e-04 eta: 20:23:45 time: 0.9275 data_time: 0.0275 memory: 27783 loss: 0.2848 loss_text: 0.1988 loss_kernel: 0.0861 2022/11/01 17:21:36 - mmengine - INFO - Epoch(train) [99][30/63] lr: 1.0000e-04 eta: 20:22:15 time: 1.0093 data_time: 0.0196 memory: 27783 loss: 0.2340 loss_text: 0.1616 loss_kernel: 0.0725 2022/11/01 17:21:41 - mmengine - INFO - Epoch(train) [99][35/63] lr: 1.0000e-04 eta: 20:22:15 time: 1.0167 data_time: 0.0255 memory: 27783 loss: 0.2503 loss_text: 0.1722 loss_kernel: 0.0780 2022/11/01 17:21:46 - mmengine - INFO - Epoch(train) [99][40/63] lr: 1.0000e-04 eta: 20:20:41 time: 0.9382 data_time: 0.0221 memory: 27783 loss: 0.2533 loss_text: 0.1756 loss_kernel: 0.0777 2022/11/01 17:21:51 - mmengine - INFO - Epoch(train) [99][45/63] lr: 1.0000e-04 eta: 20:20:41 time: 1.0362 data_time: 0.0240 memory: 27783 loss: 0.2305 loss_text: 0.1607 loss_kernel: 0.0698 2022/11/01 17:21:56 - mmengine - INFO - Epoch(train) [99][50/63] lr: 1.0000e-04 eta: 20:19:14 time: 1.0647 data_time: 0.0340 memory: 27783 loss: 0.2010 loss_text: 0.1392 loss_kernel: 0.0618 2022/11/01 17:22:01 - mmengine - INFO - Epoch(train) [99][55/63] lr: 1.0000e-04 eta: 20:19:14 time: 0.9690 data_time: 0.0199 memory: 27783 loss: 0.1879 loss_text: 0.1287 loss_kernel: 0.0592 2022/11/01 17:22:06 - mmengine - INFO - Epoch(train) [99][60/63] lr: 1.0000e-04 eta: 20:17:42 time: 0.9443 data_time: 0.0141 memory: 27783 loss: 0.2139 loss_text: 0.1479 loss_kernel: 0.0660 2022/11/01 17:22:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:23:48 - mmengine - INFO - Epoch(train) [100][5/63] lr: 1.0000e-04 eta: 20:17:42 time: 10.4400 data_time: 9.4788 memory: 27783 loss: 0.2547 loss_text: 0.1776 loss_kernel: 0.0771 2022/11/01 17:23:53 - mmengine - INFO - Epoch(train) [100][10/63] lr: 1.0000e-04 eta: 20:23:29 time: 10.4714 data_time: 9.5044 memory: 27783 loss: 0.2293 loss_text: 0.1601 loss_kernel: 0.0692 2022/11/01 17:23:58 - mmengine - INFO - Epoch(train) [100][15/63] lr: 1.0000e-04 eta: 20:23:29 time: 0.9539 data_time: 0.0322 memory: 27783 loss: 0.2172 loss_text: 0.1500 loss_kernel: 0.0672 2022/11/01 17:24:04 - mmengine - INFO - Epoch(train) [100][20/63] lr: 1.0000e-04 eta: 20:22:01 time: 1.0607 data_time: 0.0588 memory: 27783 loss: 0.2307 loss_text: 0.1593 loss_kernel: 0.0714 2022/11/01 17:24:09 - mmengine - INFO - Epoch(train) [100][25/63] lr: 1.0000e-04 eta: 20:22:01 time: 1.0575 data_time: 0.0601 memory: 27783 loss: 0.2238 loss_text: 0.1551 loss_kernel: 0.0687 2022/11/01 17:24:13 - mmengine - INFO - Epoch(train) [100][30/63] lr: 1.0000e-04 eta: 20:20:29 time: 0.9473 data_time: 0.0183 memory: 27783 loss: 0.2445 loss_text: 0.1698 loss_kernel: 0.0747 2022/11/01 17:24:18 - mmengine - INFO - Epoch(train) [100][35/63] lr: 1.0000e-04 eta: 20:20:29 time: 0.9757 data_time: 0.0457 memory: 27783 loss: 0.2579 loss_text: 0.1807 loss_kernel: 0.0772 2022/11/01 17:24:23 - mmengine - INFO - Epoch(train) [100][40/63] lr: 1.0000e-04 eta: 20:18:59 time: 0.9881 data_time: 0.0381 memory: 27783 loss: 0.2248 loss_text: 0.1579 loss_kernel: 0.0668 2022/11/01 17:24:28 - mmengine - INFO - Epoch(train) [100][45/63] lr: 1.0000e-04 eta: 20:18:59 time: 0.9970 data_time: 0.0219 memory: 27783 loss: 0.2259 loss_text: 0.1586 loss_kernel: 0.0674 2022/11/01 17:24:33 - mmengine - INFO - Epoch(train) [100][50/63] lr: 1.0000e-04 eta: 20:17:27 time: 0.9627 data_time: 0.0287 memory: 27783 loss: 0.2343 loss_text: 0.1633 loss_kernel: 0.0710 2022/11/01 17:24:38 - mmengine - INFO - Epoch(train) [100][55/63] lr: 1.0000e-04 eta: 20:17:27 time: 0.9239 data_time: 0.0180 memory: 27783 loss: 0.2335 loss_text: 0.1625 loss_kernel: 0.0710 2022/11/01 17:24:43 - mmengine - INFO - Epoch(train) [100][60/63] lr: 1.0000e-04 eta: 20:15:57 time: 0.9694 data_time: 0.0193 memory: 27783 loss: 0.2263 loss_text: 0.1573 loss_kernel: 0.0690 2022/11/01 17:24:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:24:45 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/11/01 17:26:33 - mmengine - INFO - Epoch(train) [101][5/63] lr: 1.0000e-04 eta: 20:15:57 time: 10.5797 data_time: 9.6110 memory: 27783 loss: 0.1701 loss_text: 0.1160 loss_kernel: 0.0540 2022/11/01 17:26:38 - mmengine - INFO - Epoch(train) [101][10/63] lr: 1.0000e-04 eta: 20:21:49 time: 10.6779 data_time: 9.6318 memory: 27783 loss: 0.1845 loss_text: 0.1279 loss_kernel: 0.0566 2022/11/01 17:26:43 - mmengine - INFO - Epoch(train) [101][15/63] lr: 1.0000e-04 eta: 20:21:49 time: 1.0268 data_time: 0.0301 memory: 27783 loss: 0.2109 loss_text: 0.1476 loss_kernel: 0.0634 2022/11/01 17:26:48 - mmengine - INFO - Epoch(train) [101][20/63] lr: 1.0000e-04 eta: 20:20:19 time: 0.9826 data_time: 0.0189 memory: 27783 loss: 0.2223 loss_text: 0.1543 loss_kernel: 0.0680 2022/11/01 17:26:53 - mmengine - INFO - Epoch(train) [101][25/63] lr: 1.0000e-04 eta: 20:20:19 time: 0.9561 data_time: 0.0311 memory: 27783 loss: 0.2354 loss_text: 0.1631 loss_kernel: 0.0723 2022/11/01 17:26:58 - mmengine - INFO - Epoch(train) [101][30/63] lr: 1.0000e-04 eta: 20:18:48 time: 0.9526 data_time: 0.0200 memory: 27783 loss: 0.2390 loss_text: 0.1666 loss_kernel: 0.0724 2022/11/01 17:27:03 - mmengine - INFO - Epoch(train) [101][35/63] lr: 1.0000e-04 eta: 20:18:48 time: 0.9744 data_time: 0.0190 memory: 27783 loss: 0.2439 loss_text: 0.1709 loss_kernel: 0.0729 2022/11/01 17:27:08 - mmengine - INFO - Epoch(train) [101][40/63] lr: 1.0000e-04 eta: 20:17:18 time: 0.9943 data_time: 0.0197 memory: 27783 loss: 0.2499 loss_text: 0.1745 loss_kernel: 0.0754 2022/11/01 17:27:12 - mmengine - INFO - Epoch(train) [101][45/63] lr: 1.0000e-04 eta: 20:17:18 time: 0.9760 data_time: 0.0200 memory: 27783 loss: 0.2545 loss_text: 0.1774 loss_kernel: 0.0771 2022/11/01 17:27:17 - mmengine - INFO - Epoch(train) [101][50/63] lr: 1.0000e-04 eta: 20:15:48 time: 0.9572 data_time: 0.0290 memory: 27783 loss: 0.2584 loss_text: 0.1793 loss_kernel: 0.0791 2022/11/01 17:27:22 - mmengine - INFO - Epoch(train) [101][55/63] lr: 1.0000e-04 eta: 20:15:48 time: 0.9398 data_time: 0.0169 memory: 27783 loss: 0.2650 loss_text: 0.1832 loss_kernel: 0.0818 2022/11/01 17:27:27 - mmengine - INFO - Epoch(train) [101][60/63] lr: 1.0000e-04 eta: 20:14:17 time: 0.9677 data_time: 0.0296 memory: 27783 loss: 0.2555 loss_text: 0.1765 loss_kernel: 0.0790 2022/11/01 17:27:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:29:09 - mmengine - INFO - Epoch(train) [102][5/63] lr: 1.0000e-04 eta: 20:14:17 time: 10.3952 data_time: 9.4675 memory: 27783 loss: 0.2388 loss_text: 0.1665 loss_kernel: 0.0723 2022/11/01 17:29:14 - mmengine - INFO - Epoch(train) [102][10/63] lr: 1.0000e-04 eta: 20:19:52 time: 10.4076 data_time: 9.4817 memory: 27783 loss: 0.2547 loss_text: 0.1783 loss_kernel: 0.0764 2022/11/01 17:29:19 - mmengine - INFO - Epoch(train) [102][15/63] lr: 1.0000e-04 eta: 20:19:52 time: 0.9634 data_time: 0.0258 memory: 27783 loss: 0.2660 loss_text: 0.1889 loss_kernel: 0.0771 2022/11/01 17:29:24 - mmengine - INFO - Epoch(train) [102][20/63] lr: 1.0000e-04 eta: 20:18:24 time: 1.0053 data_time: 0.0212 memory: 27783 loss: 0.2289 loss_text: 0.1624 loss_kernel: 0.0665 2022/11/01 17:29:29 - mmengine - INFO - Epoch(train) [102][25/63] lr: 1.0000e-04 eta: 20:18:24 time: 1.0039 data_time: 0.0288 memory: 27783 loss: 0.2223 loss_text: 0.1545 loss_kernel: 0.0679 2022/11/01 17:29:34 - mmengine - INFO - Epoch(train) [102][30/63] lr: 1.0000e-04 eta: 20:16:54 time: 0.9730 data_time: 0.0238 memory: 27783 loss: 0.2324 loss_text: 0.1612 loss_kernel: 0.0713 2022/11/01 17:29:38 - mmengine - INFO - Epoch(train) [102][35/63] lr: 1.0000e-04 eta: 20:16:54 time: 0.9348 data_time: 0.0203 memory: 27783 loss: 0.2180 loss_text: 0.1524 loss_kernel: 0.0656 2022/11/01 17:29:43 - mmengine - INFO - Epoch(train) [102][40/63] lr: 1.0000e-04 eta: 20:15:22 time: 0.9188 data_time: 0.0401 memory: 27783 loss: 0.2485 loss_text: 0.1739 loss_kernel: 0.0746 2022/11/01 17:29:47 - mmengine - INFO - Epoch(train) [102][45/63] lr: 1.0000e-04 eta: 20:15:22 time: 0.9229 data_time: 0.0400 memory: 27783 loss: 0.2943 loss_text: 0.2046 loss_kernel: 0.0897 2022/11/01 17:29:52 - mmengine - INFO - Epoch(train) [102][50/63] lr: 1.0000e-04 eta: 20:13:51 time: 0.9420 data_time: 0.0299 memory: 27783 loss: 0.2741 loss_text: 0.1899 loss_kernel: 0.0842 2022/11/01 17:29:57 - mmengine - INFO - Epoch(train) [102][55/63] lr: 1.0000e-04 eta: 20:13:51 time: 0.9480 data_time: 0.0235 memory: 27783 loss: 0.2371 loss_text: 0.1640 loss_kernel: 0.0731 2022/11/01 17:30:01 - mmengine - INFO - Epoch(train) [102][60/63] lr: 1.0000e-04 eta: 20:12:19 time: 0.9224 data_time: 0.0152 memory: 27783 loss: 0.2550 loss_text: 0.1792 loss_kernel: 0.0757 2022/11/01 17:30:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:31:43 - mmengine - INFO - Epoch(train) [103][5/63] lr: 1.0000e-04 eta: 20:12:19 time: 10.3371 data_time: 9.4755 memory: 27783 loss: 0.2378 loss_text: 0.1667 loss_kernel: 0.0711 2022/11/01 17:31:48 - mmengine - INFO - Epoch(train) [103][10/63] lr: 1.0000e-04 eta: 20:17:51 time: 10.4333 data_time: 9.4914 memory: 27783 loss: 0.2177 loss_text: 0.1520 loss_kernel: 0.0657 2022/11/01 17:31:53 - mmengine - INFO - Epoch(train) [103][15/63] lr: 1.0000e-04 eta: 20:17:51 time: 0.9630 data_time: 0.0246 memory: 27783 loss: 0.2247 loss_text: 0.1562 loss_kernel: 0.0685 2022/11/01 17:31:58 - mmengine - INFO - Epoch(train) [103][20/63] lr: 1.0000e-04 eta: 20:16:21 time: 0.9619 data_time: 0.0202 memory: 27783 loss: 0.2334 loss_text: 0.1645 loss_kernel: 0.0689 2022/11/01 17:32:02 - mmengine - INFO - Epoch(train) [103][25/63] lr: 1.0000e-04 eta: 20:16:21 time: 0.9753 data_time: 0.0204 memory: 27783 loss: 0.2217 loss_text: 0.1564 loss_kernel: 0.0653 2022/11/01 17:32:07 - mmengine - INFO - Epoch(train) [103][30/63] lr: 1.0000e-04 eta: 20:14:50 time: 0.9420 data_time: 0.0165 memory: 27783 loss: 0.2540 loss_text: 0.1788 loss_kernel: 0.0752 2022/11/01 17:32:12 - mmengine - INFO - Epoch(train) [103][35/63] lr: 1.0000e-04 eta: 20:14:50 time: 0.9132 data_time: 0.0265 memory: 27783 loss: 0.2750 loss_text: 0.1948 loss_kernel: 0.0802 2022/11/01 17:32:16 - mmengine - INFO - Epoch(train) [103][40/63] lr: 1.0000e-04 eta: 20:13:19 time: 0.9152 data_time: 0.0183 memory: 27783 loss: 0.2385 loss_text: 0.1675 loss_kernel: 0.0710 2022/11/01 17:32:21 - mmengine - INFO - Epoch(train) [103][45/63] lr: 1.0000e-04 eta: 20:13:19 time: 0.9506 data_time: 0.0215 memory: 27783 loss: 0.2100 loss_text: 0.1467 loss_kernel: 0.0634 2022/11/01 17:32:26 - mmengine - INFO - Epoch(train) [103][50/63] lr: 1.0000e-04 eta: 20:11:52 time: 1.0156 data_time: 0.0326 memory: 27783 loss: 0.2229 loss_text: 0.1550 loss_kernel: 0.0679 2022/11/01 17:32:31 - mmengine - INFO - Epoch(train) [103][55/63] lr: 1.0000e-04 eta: 20:11:52 time: 0.9882 data_time: 0.0191 memory: 27783 loss: 0.2191 loss_text: 0.1514 loss_kernel: 0.0678 2022/11/01 17:32:36 - mmengine - INFO - Epoch(train) [103][60/63] lr: 1.0000e-04 eta: 20:10:22 time: 0.9255 data_time: 0.0162 memory: 27783 loss: 0.2269 loss_text: 0.1577 loss_kernel: 0.0693 2022/11/01 17:32:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:34:17 - mmengine - INFO - Epoch(train) [104][5/63] lr: 1.0000e-04 eta: 20:10:22 time: 10.3103 data_time: 9.4394 memory: 27783 loss: 0.2577 loss_text: 0.1776 loss_kernel: 0.0801 2022/11/01 17:34:22 - mmengine - INFO - Epoch(train) [104][10/63] lr: 1.0000e-04 eta: 20:15:47 time: 10.3986 data_time: 9.4671 memory: 27783 loss: 0.2525 loss_text: 0.1747 loss_kernel: 0.0778 2022/11/01 17:34:27 - mmengine - INFO - Epoch(train) [104][15/63] lr: 1.0000e-04 eta: 20:15:47 time: 0.9670 data_time: 0.0363 memory: 27783 loss: 0.2431 loss_text: 0.1695 loss_kernel: 0.0736 2022/11/01 17:34:31 - mmengine - INFO - Epoch(train) [104][20/63] lr: 1.0000e-04 eta: 20:14:16 time: 0.9289 data_time: 0.0198 memory: 27783 loss: 0.2563 loss_text: 0.1790 loss_kernel: 0.0773 2022/11/01 17:34:36 - mmengine - INFO - Epoch(train) [104][25/63] lr: 1.0000e-04 eta: 20:14:16 time: 0.9660 data_time: 0.0321 memory: 27783 loss: 0.2204 loss_text: 0.1565 loss_kernel: 0.0638 2022/11/01 17:34:41 - mmengine - INFO - Epoch(train) [104][30/63] lr: 1.0000e-04 eta: 20:12:48 time: 0.9776 data_time: 0.0214 memory: 27783 loss: 0.2628 loss_text: 0.1861 loss_kernel: 0.0767 2022/11/01 17:34:46 - mmengine - INFO - Epoch(train) [104][35/63] lr: 1.0000e-04 eta: 20:12:48 time: 0.9656 data_time: 0.0200 memory: 27783 loss: 0.2984 loss_text: 0.2067 loss_kernel: 0.0917 2022/11/01 17:34:51 - mmengine - INFO - Epoch(train) [104][40/63] lr: 1.0000e-04 eta: 20:11:22 time: 1.0076 data_time: 0.0226 memory: 27783 loss: 0.2950 loss_text: 0.2051 loss_kernel: 0.0899 2022/11/01 17:34:56 - mmengine - INFO - Epoch(train) [104][45/63] lr: 1.0000e-04 eta: 20:11:22 time: 0.9914 data_time: 0.0226 memory: 27783 loss: 0.2764 loss_text: 0.1935 loss_kernel: 0.0829 2022/11/01 17:35:01 - mmengine - INFO - Epoch(train) [104][50/63] lr: 1.0000e-04 eta: 20:09:54 time: 0.9772 data_time: 0.0292 memory: 27783 loss: 0.2197 loss_text: 0.1519 loss_kernel: 0.0677 2022/11/01 17:35:05 - mmengine - INFO - Epoch(train) [104][55/63] lr: 1.0000e-04 eta: 20:09:54 time: 0.9582 data_time: 0.0192 memory: 27783 loss: 0.2122 loss_text: 0.1463 loss_kernel: 0.0659 2022/11/01 17:35:10 - mmengine - INFO - Epoch(train) [104][60/63] lr: 1.0000e-04 eta: 20:08:25 time: 0.9379 data_time: 0.0177 memory: 27783 loss: 0.2529 loss_text: 0.1753 loss_kernel: 0.0776 2022/11/01 17:35:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:36:52 - mmengine - INFO - Epoch(train) [105][5/63] lr: 1.0000e-04 eta: 20:08:25 time: 10.3912 data_time: 9.4797 memory: 27783 loss: 0.2347 loss_text: 0.1631 loss_kernel: 0.0716 2022/11/01 17:36:57 - mmengine - INFO - Epoch(train) [105][10/63] lr: 1.0000e-04 eta: 20:13:48 time: 10.4372 data_time: 9.4824 memory: 27783 loss: 0.2273 loss_text: 0.1570 loss_kernel: 0.0703 2022/11/01 17:37:02 - mmengine - INFO - Epoch(train) [105][15/63] lr: 1.0000e-04 eta: 20:13:48 time: 0.9527 data_time: 0.0260 memory: 27783 loss: 0.2373 loss_text: 0.1632 loss_kernel: 0.0741 2022/11/01 17:37:07 - mmengine - INFO - Epoch(train) [105][20/63] lr: 1.0000e-04 eta: 20:12:19 time: 0.9558 data_time: 0.0360 memory: 27783 loss: 0.2172 loss_text: 0.1501 loss_kernel: 0.0671 2022/11/01 17:37:12 - mmengine - INFO - Epoch(train) [105][25/63] lr: 1.0000e-04 eta: 20:12:19 time: 0.9882 data_time: 0.0237 memory: 27783 loss: 0.2122 loss_text: 0.1474 loss_kernel: 0.0648 2022/11/01 17:37:17 - mmengine - INFO - Epoch(train) [105][30/63] lr: 1.0000e-04 eta: 20:10:53 time: 1.0054 data_time: 0.0230 memory: 27783 loss: 0.2265 loss_text: 0.1575 loss_kernel: 0.0690 2022/11/01 17:37:21 - mmengine - INFO - Epoch(train) [105][35/63] lr: 1.0000e-04 eta: 20:10:53 time: 0.9665 data_time: 0.0346 memory: 27783 loss: 0.2346 loss_text: 0.1667 loss_kernel: 0.0679 2022/11/01 17:37:26 - mmengine - INFO - Epoch(train) [105][40/63] lr: 1.0000e-04 eta: 20:09:24 time: 0.9346 data_time: 0.0198 memory: 27783 loss: 0.2623 loss_text: 0.1853 loss_kernel: 0.0770 2022/11/01 17:37:31 - mmengine - INFO - Epoch(train) [105][45/63] lr: 1.0000e-04 eta: 20:09:24 time: 0.9195 data_time: 0.0187 memory: 27783 loss: 0.2515 loss_text: 0.1753 loss_kernel: 0.0762 2022/11/01 17:37:35 - mmengine - INFO - Epoch(train) [105][50/63] lr: 1.0000e-04 eta: 20:07:54 time: 0.9196 data_time: 0.0196 memory: 27783 loss: 0.1862 loss_text: 0.1290 loss_kernel: 0.0572 2022/11/01 17:37:40 - mmengine - INFO - Epoch(train) [105][55/63] lr: 1.0000e-04 eta: 20:07:54 time: 0.9192 data_time: 0.0155 memory: 27783 loss: 0.1601 loss_text: 0.1105 loss_kernel: 0.0495 2022/11/01 17:37:45 - mmengine - INFO - Epoch(train) [105][60/63] lr: 1.0000e-04 eta: 20:06:26 time: 0.9330 data_time: 0.0205 memory: 27783 loss: 0.2122 loss_text: 0.1474 loss_kernel: 0.0647 2022/11/01 17:37:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:39:27 - mmengine - INFO - Epoch(train) [106][5/63] lr: 1.0000e-04 eta: 20:06:26 time: 10.3960 data_time: 9.5058 memory: 27783 loss: 0.2414 loss_text: 0.1681 loss_kernel: 0.0733 2022/11/01 17:39:32 - mmengine - INFO - Epoch(train) [106][10/63] lr: 1.0000e-04 eta: 20:11:45 time: 10.4505 data_time: 9.5128 memory: 27783 loss: 0.2686 loss_text: 0.1866 loss_kernel: 0.0820 2022/11/01 17:39:36 - mmengine - INFO - Epoch(train) [106][15/63] lr: 1.0000e-04 eta: 20:11:45 time: 0.9622 data_time: 0.0331 memory: 27783 loss: 0.2782 loss_text: 0.1943 loss_kernel: 0.0838 2022/11/01 17:39:41 - mmengine - INFO - Epoch(train) [106][20/63] lr: 1.0000e-04 eta: 20:10:18 time: 0.9756 data_time: 0.0322 memory: 27783 loss: 0.2531 loss_text: 0.1782 loss_kernel: 0.0749 2022/11/01 17:39:46 - mmengine - INFO - Epoch(train) [106][25/63] lr: 1.0000e-04 eta: 20:10:18 time: 0.9875 data_time: 0.0281 memory: 27783 loss: 0.2483 loss_text: 0.1759 loss_kernel: 0.0724 2022/11/01 17:39:51 - mmengine - INFO - Epoch(train) [106][30/63] lr: 1.0000e-04 eta: 20:08:51 time: 0.9676 data_time: 0.0208 memory: 27783 loss: 0.2622 loss_text: 0.1875 loss_kernel: 0.0747 2022/11/01 17:39:56 - mmengine - INFO - Epoch(train) [106][35/63] lr: 1.0000e-04 eta: 20:08:51 time: 0.9635 data_time: 0.0234 memory: 27783 loss: 0.2535 loss_text: 0.1797 loss_kernel: 0.0738 2022/11/01 17:40:01 - mmengine - INFO - Epoch(train) [106][40/63] lr: 1.0000e-04 eta: 20:07:24 time: 0.9543 data_time: 0.0209 memory: 27783 loss: 0.2328 loss_text: 0.1631 loss_kernel: 0.0696 2022/11/01 17:40:05 - mmengine - INFO - Epoch(train) [106][45/63] lr: 1.0000e-04 eta: 20:07:24 time: 0.9360 data_time: 0.0186 memory: 27783 loss: 0.2175 loss_text: 0.1547 loss_kernel: 0.0628 2022/11/01 17:40:10 - mmengine - INFO - Epoch(train) [106][50/63] lr: 1.0000e-04 eta: 20:05:55 time: 0.9298 data_time: 0.0226 memory: 27783 loss: 0.2140 loss_text: 0.1519 loss_kernel: 0.0621 2022/11/01 17:40:15 - mmengine - INFO - Epoch(train) [106][55/63] lr: 1.0000e-04 eta: 20:05:55 time: 0.9368 data_time: 0.0206 memory: 27783 loss: 0.2530 loss_text: 0.1761 loss_kernel: 0.0769 2022/11/01 17:40:20 - mmengine - INFO - Epoch(train) [106][60/63] lr: 1.0000e-04 eta: 20:04:29 time: 0.9676 data_time: 0.0219 memory: 27783 loss: 0.2650 loss_text: 0.1849 loss_kernel: 0.0801 2022/11/01 17:40:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:42:02 - mmengine - INFO - Epoch(train) [107][5/63] lr: 1.0000e-04 eta: 20:04:29 time: 10.4288 data_time: 9.4949 memory: 27783 loss: 0.2152 loss_text: 0.1497 loss_kernel: 0.0655 2022/11/01 17:42:07 - mmengine - INFO - Epoch(train) [107][10/63] lr: 1.0000e-04 eta: 20:09:45 time: 10.4717 data_time: 9.5002 memory: 27783 loss: 0.2038 loss_text: 0.1430 loss_kernel: 0.0608 2022/11/01 17:42:12 - mmengine - INFO - Epoch(train) [107][15/63] lr: 1.0000e-04 eta: 20:09:45 time: 0.9688 data_time: 0.0197 memory: 27783 loss: 0.2316 loss_text: 0.1624 loss_kernel: 0.0692 2022/11/01 17:42:17 - mmengine - INFO - Epoch(train) [107][20/63] lr: 1.0000e-04 eta: 20:08:20 time: 0.9958 data_time: 0.0206 memory: 27783 loss: 0.2483 loss_text: 0.1718 loss_kernel: 0.0765 2022/11/01 17:42:21 - mmengine - INFO - Epoch(train) [107][25/63] lr: 1.0000e-04 eta: 20:08:20 time: 0.9609 data_time: 0.0187 memory: 27783 loss: 0.2405 loss_text: 0.1656 loss_kernel: 0.0749 2022/11/01 17:42:26 - mmengine - INFO - Epoch(train) [107][30/63] lr: 1.0000e-04 eta: 20:06:51 time: 0.9256 data_time: 0.0183 memory: 27783 loss: 0.2342 loss_text: 0.1620 loss_kernel: 0.0722 2022/11/01 17:42:31 - mmengine - INFO - Epoch(train) [107][35/63] lr: 1.0000e-04 eta: 20:06:51 time: 0.9474 data_time: 0.0305 memory: 27783 loss: 0.1868 loss_text: 0.1292 loss_kernel: 0.0576 2022/11/01 17:42:35 - mmengine - INFO - Epoch(train) [107][40/63] lr: 1.0000e-04 eta: 20:05:24 time: 0.9563 data_time: 0.0198 memory: 27783 loss: 0.1987 loss_text: 0.1369 loss_kernel: 0.0617 2022/11/01 17:42:40 - mmengine - INFO - Epoch(train) [107][45/63] lr: 1.0000e-04 eta: 20:05:24 time: 0.9672 data_time: 0.0165 memory: 27783 loss: 0.2513 loss_text: 0.1734 loss_kernel: 0.0779 2022/11/01 17:42:45 - mmengine - INFO - Epoch(train) [107][50/63] lr: 1.0000e-04 eta: 20:03:59 time: 0.9791 data_time: 0.0249 memory: 27783 loss: 0.2386 loss_text: 0.1636 loss_kernel: 0.0750 2022/11/01 17:42:50 - mmengine - INFO - Epoch(train) [107][55/63] lr: 1.0000e-04 eta: 20:03:59 time: 0.9349 data_time: 0.0193 memory: 27783 loss: 0.2321 loss_text: 0.1599 loss_kernel: 0.0722 2022/11/01 17:42:54 - mmengine - INFO - Epoch(train) [107][60/63] lr: 1.0000e-04 eta: 20:02:29 time: 0.8834 data_time: 0.0178 memory: 27783 loss: 0.2452 loss_text: 0.1694 loss_kernel: 0.0759 2022/11/01 17:42:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:44:37 - mmengine - INFO - Epoch(train) [108][5/63] lr: 1.0000e-04 eta: 20:02:29 time: 10.4655 data_time: 9.5954 memory: 27783 loss: 0.2350 loss_text: 0.1614 loss_kernel: 0.0736 2022/11/01 17:44:42 - mmengine - INFO - Epoch(train) [108][10/63] lr: 1.0000e-04 eta: 20:07:47 time: 10.5842 data_time: 9.6085 memory: 27783 loss: 0.2497 loss_text: 0.1744 loss_kernel: 0.0753 2022/11/01 17:44:47 - mmengine - INFO - Epoch(train) [108][15/63] lr: 1.0000e-04 eta: 20:07:47 time: 1.0112 data_time: 0.0308 memory: 27783 loss: 0.2513 loss_text: 0.1768 loss_kernel: 0.0744 2022/11/01 17:44:52 - mmengine - INFO - Epoch(train) [108][20/63] lr: 1.0000e-04 eta: 20:06:22 time: 0.9828 data_time: 0.0224 memory: 27783 loss: 0.2347 loss_text: 0.1642 loss_kernel: 0.0706 2022/11/01 17:44:57 - mmengine - INFO - Epoch(train) [108][25/63] lr: 1.0000e-04 eta: 20:06:22 time: 0.9829 data_time: 0.0183 memory: 27783 loss: 0.2313 loss_text: 0.1618 loss_kernel: 0.0695 2022/11/01 17:45:02 - mmengine - INFO - Epoch(train) [108][30/63] lr: 1.0000e-04 eta: 20:04:55 time: 0.9503 data_time: 0.0192 memory: 27783 loss: 0.2704 loss_text: 0.1895 loss_kernel: 0.0810 2022/11/01 17:45:07 - mmengine - INFO - Epoch(train) [108][35/63] lr: 1.0000e-04 eta: 20:04:55 time: 0.9584 data_time: 0.0239 memory: 27783 loss: 0.2448 loss_text: 0.1719 loss_kernel: 0.0730 2022/11/01 17:45:11 - mmengine - INFO - Epoch(train) [108][40/63] lr: 1.0000e-04 eta: 20:03:29 time: 0.9637 data_time: 0.0205 memory: 27783 loss: 0.2329 loss_text: 0.1632 loss_kernel: 0.0697 2022/11/01 17:45:16 - mmengine - INFO - Epoch(train) [108][45/63] lr: 1.0000e-04 eta: 20:03:29 time: 0.9368 data_time: 0.0183 memory: 27783 loss: 0.2451 loss_text: 0.1713 loss_kernel: 0.0738 2022/11/01 17:45:21 - mmengine - INFO - Epoch(train) [108][50/63] lr: 1.0000e-04 eta: 20:02:03 time: 0.9455 data_time: 0.0236 memory: 27783 loss: 0.2050 loss_text: 0.1449 loss_kernel: 0.0601 2022/11/01 17:45:25 - mmengine - INFO - Epoch(train) [108][55/63] lr: 1.0000e-04 eta: 20:02:03 time: 0.9345 data_time: 0.0195 memory: 27783 loss: 0.2034 loss_text: 0.1423 loss_kernel: 0.0611 2022/11/01 17:45:30 - mmengine - INFO - Epoch(train) [108][60/63] lr: 1.0000e-04 eta: 20:00:36 time: 0.9264 data_time: 0.0161 memory: 27783 loss: 0.2216 loss_text: 0.1536 loss_kernel: 0.0680 2022/11/01 17:45:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:47:13 - mmengine - INFO - Epoch(train) [109][5/63] lr: 1.0000e-04 eta: 20:00:36 time: 10.4403 data_time: 9.4976 memory: 27783 loss: 0.1901 loss_text: 0.1337 loss_kernel: 0.0564 2022/11/01 17:47:18 - mmengine - INFO - Epoch(train) [109][10/63] lr: 1.0000e-04 eta: 20:05:50 time: 10.5899 data_time: 9.5299 memory: 27783 loss: 0.1987 loss_text: 0.1387 loss_kernel: 0.0600 2022/11/01 17:47:23 - mmengine - INFO - Epoch(train) [109][15/63] lr: 1.0000e-04 eta: 20:05:50 time: 1.0127 data_time: 0.0428 memory: 27783 loss: 0.2233 loss_text: 0.1553 loss_kernel: 0.0680 2022/11/01 17:47:28 - mmengine - INFO - Epoch(train) [109][20/63] lr: 1.0000e-04 eta: 20:04:22 time: 0.9233 data_time: 0.0183 memory: 27783 loss: 0.2280 loss_text: 0.1569 loss_kernel: 0.0711 2022/11/01 17:47:32 - mmengine - INFO - Epoch(train) [109][25/63] lr: 1.0000e-04 eta: 20:04:22 time: 0.9428 data_time: 0.0197 memory: 27783 loss: 0.2521 loss_text: 0.1733 loss_kernel: 0.0788 2022/11/01 17:47:37 - mmengine - INFO - Epoch(train) [109][30/63] lr: 1.0000e-04 eta: 20:02:57 time: 0.9684 data_time: 0.0356 memory: 27783 loss: 0.2671 loss_text: 0.1856 loss_kernel: 0.0815 2022/11/01 17:47:42 - mmengine - INFO - Epoch(train) [109][35/63] lr: 1.0000e-04 eta: 20:02:57 time: 1.0219 data_time: 0.0436 memory: 27783 loss: 0.2577 loss_text: 0.1802 loss_kernel: 0.0775 2022/11/01 17:47:47 - mmengine - INFO - Epoch(train) [109][40/63] lr: 1.0000e-04 eta: 20:01:33 time: 0.9958 data_time: 0.0233 memory: 27783 loss: 0.2401 loss_text: 0.1675 loss_kernel: 0.0726 2022/11/01 17:47:52 - mmengine - INFO - Epoch(train) [109][45/63] lr: 1.0000e-04 eta: 20:01:33 time: 0.9755 data_time: 0.0242 memory: 27783 loss: 0.2270 loss_text: 0.1573 loss_kernel: 0.0698 2022/11/01 17:47:58 - mmengine - INFO - Epoch(train) [109][50/63] lr: 1.0000e-04 eta: 20:00:13 time: 1.0616 data_time: 0.0306 memory: 27783 loss: 0.2222 loss_text: 0.1537 loss_kernel: 0.0685 2022/11/01 17:48:02 - mmengine - INFO - Epoch(train) [109][55/63] lr: 1.0000e-04 eta: 20:00:13 time: 1.0071 data_time: 0.0204 memory: 27783 loss: 0.2350 loss_text: 0.1672 loss_kernel: 0.0678 2022/11/01 17:48:07 - mmengine - INFO - Epoch(train) [109][60/63] lr: 1.0000e-04 eta: 19:58:47 time: 0.9361 data_time: 0.0159 memory: 27783 loss: 0.2521 loss_text: 0.1796 loss_kernel: 0.0725 2022/11/01 17:48:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:49:49 - mmengine - INFO - Epoch(train) [110][5/63] lr: 1.0000e-04 eta: 19:58:47 time: 10.4056 data_time: 9.5193 memory: 27783 loss: 0.2480 loss_text: 0.1734 loss_kernel: 0.0746 2022/11/01 17:49:54 - mmengine - INFO - Epoch(train) [110][10/63] lr: 1.0000e-04 eta: 20:03:52 time: 10.4768 data_time: 9.5354 memory: 27783 loss: 0.2132 loss_text: 0.1489 loss_kernel: 0.0642 2022/11/01 17:49:59 - mmengine - INFO - Epoch(train) [110][15/63] lr: 1.0000e-04 eta: 20:03:52 time: 0.9431 data_time: 0.0331 memory: 27783 loss: 0.2476 loss_text: 0.1735 loss_kernel: 0.0741 2022/11/01 17:50:04 - mmengine - INFO - Epoch(train) [110][20/63] lr: 1.0000e-04 eta: 20:02:25 time: 0.9308 data_time: 0.0198 memory: 27783 loss: 0.2753 loss_text: 0.1918 loss_kernel: 0.0835 2022/11/01 17:50:08 - mmengine - INFO - Epoch(train) [110][25/63] lr: 1.0000e-04 eta: 20:02:25 time: 0.9709 data_time: 0.0318 memory: 27783 loss: 0.2557 loss_text: 0.1785 loss_kernel: 0.0772 2022/11/01 17:50:13 - mmengine - INFO - Epoch(train) [110][30/63] lr: 1.0000e-04 eta: 20:01:00 time: 0.9387 data_time: 0.0279 memory: 27783 loss: 0.2382 loss_text: 0.1667 loss_kernel: 0.0715 2022/11/01 17:50:18 - mmengine - INFO - Epoch(train) [110][35/63] lr: 1.0000e-04 eta: 20:01:00 time: 0.9274 data_time: 0.0210 memory: 27783 loss: 0.2465 loss_text: 0.1717 loss_kernel: 0.0749 2022/11/01 17:50:23 - mmengine - INFO - Epoch(train) [110][40/63] lr: 1.0000e-04 eta: 19:59:35 time: 0.9733 data_time: 0.0211 memory: 27783 loss: 0.2562 loss_text: 0.1790 loss_kernel: 0.0772 2022/11/01 17:50:27 - mmengine - INFO - Epoch(train) [110][45/63] lr: 1.0000e-04 eta: 19:59:35 time: 0.9789 data_time: 0.0177 memory: 27783 loss: 0.2382 loss_text: 0.1652 loss_kernel: 0.0730 2022/11/01 17:50:32 - mmengine - INFO - Epoch(train) [110][50/63] lr: 1.0000e-04 eta: 19:58:10 time: 0.9431 data_time: 0.0253 memory: 27783 loss: 0.1981 loss_text: 0.1364 loss_kernel: 0.0618 2022/11/01 17:50:37 - mmengine - INFO - Epoch(train) [110][55/63] lr: 1.0000e-04 eta: 19:58:10 time: 0.9225 data_time: 0.0198 memory: 27783 loss: 0.1989 loss_text: 0.1368 loss_kernel: 0.0622 2022/11/01 17:50:41 - mmengine - INFO - Epoch(train) [110][60/63] lr: 1.0000e-04 eta: 19:56:44 time: 0.9172 data_time: 0.0155 memory: 27783 loss: 0.2310 loss_text: 0.1596 loss_kernel: 0.0715 2022/11/01 17:50:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:52:23 - mmengine - INFO - Epoch(train) [111][5/63] lr: 1.0000e-04 eta: 19:56:44 time: 10.3735 data_time: 9.5124 memory: 27783 loss: 0.2364 loss_text: 0.1649 loss_kernel: 0.0715 2022/11/01 17:52:28 - mmengine - INFO - Epoch(train) [111][10/63] lr: 1.0000e-04 eta: 20:01:45 time: 10.4644 data_time: 9.5280 memory: 27783 loss: 0.1911 loss_text: 0.1318 loss_kernel: 0.0593 2022/11/01 17:52:33 - mmengine - INFO - Epoch(train) [111][15/63] lr: 1.0000e-04 eta: 20:01:45 time: 0.9447 data_time: 0.0250 memory: 27783 loss: 0.2220 loss_text: 0.1533 loss_kernel: 0.0687 2022/11/01 17:52:38 - mmengine - INFO - Epoch(train) [111][20/63] lr: 1.0000e-04 eta: 20:00:19 time: 0.9332 data_time: 0.0211 memory: 27783 loss: 0.2511 loss_text: 0.1749 loss_kernel: 0.0762 2022/11/01 17:52:42 - mmengine - INFO - Epoch(train) [111][25/63] lr: 1.0000e-04 eta: 20:00:19 time: 0.9571 data_time: 0.0206 memory: 27783 loss: 0.2369 loss_text: 0.1643 loss_kernel: 0.0727 2022/11/01 17:52:48 - mmengine - INFO - Epoch(train) [111][30/63] lr: 1.0000e-04 eta: 19:58:56 time: 0.9968 data_time: 0.0225 memory: 27783 loss: 0.2805 loss_text: 0.1945 loss_kernel: 0.0859 2022/11/01 17:52:52 - mmengine - INFO - Epoch(train) [111][35/63] lr: 1.0000e-04 eta: 19:58:56 time: 0.9984 data_time: 0.0350 memory: 27783 loss: 0.2577 loss_text: 0.1804 loss_kernel: 0.0773 2022/11/01 17:52:58 - mmengine - INFO - Epoch(train) [111][40/63] lr: 1.0000e-04 eta: 19:57:34 time: 0.9906 data_time: 0.0215 memory: 27783 loss: 0.2050 loss_text: 0.1442 loss_kernel: 0.0608 2022/11/01 17:53:02 - mmengine - INFO - Epoch(train) [111][45/63] lr: 1.0000e-04 eta: 19:57:34 time: 1.0004 data_time: 0.0183 memory: 27783 loss: 0.1898 loss_text: 0.1329 loss_kernel: 0.0569 2022/11/01 17:53:07 - mmengine - INFO - Epoch(train) [111][50/63] lr: 1.0000e-04 eta: 19:56:10 time: 0.9538 data_time: 0.0283 memory: 27783 loss: 0.1974 loss_text: 0.1367 loss_kernel: 0.0607 2022/11/01 17:53:11 - mmengine - INFO - Epoch(train) [111][55/63] lr: 1.0000e-04 eta: 19:56:10 time: 0.9029 data_time: 0.0170 memory: 27783 loss: 0.2386 loss_text: 0.1649 loss_kernel: 0.0737 2022/11/01 17:53:16 - mmengine - INFO - Epoch(train) [111][60/63] lr: 1.0000e-04 eta: 19:54:43 time: 0.9008 data_time: 0.0132 memory: 27783 loss: 0.2707 loss_text: 0.1883 loss_kernel: 0.0825 2022/11/01 17:53:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:54:58 - mmengine - INFO - Epoch(train) [112][5/63] lr: 1.0000e-04 eta: 19:54:43 time: 10.3842 data_time: 9.4827 memory: 27783 loss: 0.2806 loss_text: 0.1974 loss_kernel: 0.0832 2022/11/01 17:55:00 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:55:03 - mmengine - INFO - Epoch(train) [112][10/63] lr: 1.0000e-04 eta: 19:59:38 time: 10.4166 data_time: 9.4903 memory: 27783 loss: 0.2764 loss_text: 0.1913 loss_kernel: 0.0851 2022/11/01 17:55:07 - mmengine - INFO - Epoch(train) [112][15/63] lr: 1.0000e-04 eta: 19:59:38 time: 0.9049 data_time: 0.0208 memory: 27783 loss: 0.2722 loss_text: 0.1878 loss_kernel: 0.0844 2022/11/01 17:55:12 - mmengine - INFO - Epoch(train) [112][20/63] lr: 1.0000e-04 eta: 19:58:14 time: 0.9402 data_time: 0.0223 memory: 27783 loss: 0.2592 loss_text: 0.1800 loss_kernel: 0.0792 2022/11/01 17:55:17 - mmengine - INFO - Epoch(train) [112][25/63] lr: 1.0000e-04 eta: 19:58:14 time: 0.9541 data_time: 0.0238 memory: 27783 loss: 0.2044 loss_text: 0.1438 loss_kernel: 0.0606 2022/11/01 17:55:21 - mmengine - INFO - Epoch(train) [112][30/63] lr: 1.0000e-04 eta: 19:56:48 time: 0.9162 data_time: 0.0193 memory: 27783 loss: 0.1824 loss_text: 0.1279 loss_kernel: 0.0545 2022/11/01 17:55:26 - mmengine - INFO - Epoch(train) [112][35/63] lr: 1.0000e-04 eta: 19:56:48 time: 0.9258 data_time: 0.0202 memory: 27783 loss: 0.2214 loss_text: 0.1533 loss_kernel: 0.0681 2022/11/01 17:55:31 - mmengine - INFO - Epoch(train) [112][40/63] lr: 1.0000e-04 eta: 19:55:24 time: 0.9372 data_time: 0.0193 memory: 27783 loss: 0.2528 loss_text: 0.1748 loss_kernel: 0.0780 2022/11/01 17:55:35 - mmengine - INFO - Epoch(train) [112][45/63] lr: 1.0000e-04 eta: 19:55:24 time: 0.9215 data_time: 0.0179 memory: 27783 loss: 0.2219 loss_text: 0.1536 loss_kernel: 0.0683 2022/11/01 17:55:40 - mmengine - INFO - Epoch(train) [112][50/63] lr: 1.0000e-04 eta: 19:53:58 time: 0.9047 data_time: 0.0250 memory: 27783 loss: 0.2097 loss_text: 0.1448 loss_kernel: 0.0649 2022/11/01 17:55:44 - mmengine - INFO - Epoch(train) [112][55/63] lr: 1.0000e-04 eta: 19:53:58 time: 0.8827 data_time: 0.0214 memory: 27783 loss: 0.2510 loss_text: 0.1735 loss_kernel: 0.0775 2022/11/01 17:55:49 - mmengine - INFO - Epoch(train) [112][60/63] lr: 1.0000e-04 eta: 19:52:33 time: 0.9083 data_time: 0.0169 memory: 27783 loss: 0.2601 loss_text: 0.1806 loss_kernel: 0.0795 2022/11/01 17:55:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 17:57:31 - mmengine - INFO - Epoch(train) [113][5/63] lr: 1.0000e-04 eta: 19:52:33 time: 10.3408 data_time: 9.4952 memory: 27783 loss: 0.2122 loss_text: 0.1491 loss_kernel: 0.0632 2022/11/01 17:57:35 - mmengine - INFO - Epoch(train) [113][10/63] lr: 1.0000e-04 eta: 19:57:24 time: 10.4152 data_time: 9.5030 memory: 27783 loss: 0.2183 loss_text: 0.1517 loss_kernel: 0.0665 2022/11/01 17:57:40 - mmengine - INFO - Epoch(train) [113][15/63] lr: 1.0000e-04 eta: 19:57:24 time: 0.9444 data_time: 0.0285 memory: 27783 loss: 0.2279 loss_text: 0.1573 loss_kernel: 0.0705 2022/11/01 17:57:45 - mmengine - INFO - Epoch(train) [113][20/63] lr: 1.0000e-04 eta: 19:55:59 time: 0.9190 data_time: 0.0300 memory: 27783 loss: 0.2329 loss_text: 0.1621 loss_kernel: 0.0708 2022/11/01 17:57:49 - mmengine - INFO - Epoch(train) [113][25/63] lr: 1.0000e-04 eta: 19:55:59 time: 0.8951 data_time: 0.0194 memory: 27783 loss: 0.2277 loss_text: 0.1591 loss_kernel: 0.0686 2022/11/01 17:57:54 - mmengine - INFO - Epoch(train) [113][30/63] lr: 1.0000e-04 eta: 19:54:35 time: 0.9432 data_time: 0.0225 memory: 27783 loss: 0.1951 loss_text: 0.1359 loss_kernel: 0.0591 2022/11/01 17:57:59 - mmengine - INFO - Epoch(train) [113][35/63] lr: 1.0000e-04 eta: 19:54:35 time: 0.9696 data_time: 0.0344 memory: 27783 loss: 0.1659 loss_text: 0.1135 loss_kernel: 0.0523 2022/11/01 17:58:03 - mmengine - INFO - Epoch(train) [113][40/63] lr: 1.0000e-04 eta: 19:53:11 time: 0.9242 data_time: 0.0185 memory: 27783 loss: 0.1985 loss_text: 0.1376 loss_kernel: 0.0610 2022/11/01 17:58:08 - mmengine - INFO - Epoch(train) [113][45/63] lr: 1.0000e-04 eta: 19:53:11 time: 0.9263 data_time: 0.0202 memory: 27783 loss: 0.2520 loss_text: 0.1776 loss_kernel: 0.0743 2022/11/01 17:58:13 - mmengine - INFO - Epoch(train) [113][50/63] lr: 1.0000e-04 eta: 19:51:47 time: 0.9366 data_time: 0.0343 memory: 27783 loss: 0.2440 loss_text: 0.1714 loss_kernel: 0.0727 2022/11/01 17:58:17 - mmengine - INFO - Epoch(train) [113][55/63] lr: 1.0000e-04 eta: 19:51:47 time: 0.9244 data_time: 0.0256 memory: 27783 loss: 0.2444 loss_text: 0.1704 loss_kernel: 0.0740 2022/11/01 17:58:22 - mmengine - INFO - Epoch(train) [113][60/63] lr: 1.0000e-04 eta: 19:50:23 time: 0.9069 data_time: 0.0177 memory: 27783 loss: 0.2547 loss_text: 0.1776 loss_kernel: 0.0771 2022/11/01 17:58:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:00:04 - mmengine - INFO - Epoch(train) [114][5/63] lr: 1.0000e-04 eta: 19:50:23 time: 10.4139 data_time: 9.5134 memory: 27783 loss: 0.2389 loss_text: 0.1660 loss_kernel: 0.0729 2022/11/01 18:00:09 - mmengine - INFO - Epoch(train) [114][10/63] lr: 1.0000e-04 eta: 19:55:12 time: 10.4587 data_time: 9.5202 memory: 27783 loss: 0.2463 loss_text: 0.1708 loss_kernel: 0.0755 2022/11/01 18:00:13 - mmengine - INFO - Epoch(train) [114][15/63] lr: 1.0000e-04 eta: 19:55:12 time: 0.9299 data_time: 0.0224 memory: 27783 loss: 0.2206 loss_text: 0.1542 loss_kernel: 0.0663 2022/11/01 18:00:18 - mmengine - INFO - Epoch(train) [114][20/63] lr: 1.0000e-04 eta: 19:53:49 time: 0.9347 data_time: 0.0242 memory: 27783 loss: 0.2468 loss_text: 0.1721 loss_kernel: 0.0747 2022/11/01 18:00:23 - mmengine - INFO - Epoch(train) [114][25/63] lr: 1.0000e-04 eta: 19:53:49 time: 0.9300 data_time: 0.0227 memory: 27783 loss: 0.2131 loss_text: 0.1470 loss_kernel: 0.0661 2022/11/01 18:00:27 - mmengine - INFO - Epoch(train) [114][30/63] lr: 1.0000e-04 eta: 19:52:25 time: 0.9357 data_time: 0.0203 memory: 27783 loss: 0.1889 loss_text: 0.1307 loss_kernel: 0.0582 2022/11/01 18:00:32 - mmengine - INFO - Epoch(train) [114][35/63] lr: 1.0000e-04 eta: 19:52:25 time: 0.9171 data_time: 0.0256 memory: 27783 loss: 0.2065 loss_text: 0.1436 loss_kernel: 0.0629 2022/11/01 18:00:37 - mmengine - INFO - Epoch(train) [114][40/63] lr: 1.0000e-04 eta: 19:51:01 time: 0.9113 data_time: 0.0171 memory: 27783 loss: 0.2140 loss_text: 0.1490 loss_kernel: 0.0650 2022/11/01 18:00:41 - mmengine - INFO - Epoch(train) [114][45/63] lr: 1.0000e-04 eta: 19:51:01 time: 0.9450 data_time: 0.0179 memory: 27783 loss: 0.2147 loss_text: 0.1506 loss_kernel: 0.0642 2022/11/01 18:00:46 - mmengine - INFO - Epoch(train) [114][50/63] lr: 1.0000e-04 eta: 19:49:39 time: 0.9687 data_time: 0.0250 memory: 27783 loss: 0.2046 loss_text: 0.1440 loss_kernel: 0.0607 2022/11/01 18:00:51 - mmengine - INFO - Epoch(train) [114][55/63] lr: 1.0000e-04 eta: 19:49:39 time: 0.9356 data_time: 0.0162 memory: 27783 loss: 0.2129 loss_text: 0.1481 loss_kernel: 0.0648 2022/11/01 18:00:55 - mmengine - INFO - Epoch(train) [114][60/63] lr: 1.0000e-04 eta: 19:48:15 time: 0.9050 data_time: 0.0168 memory: 27783 loss: 0.2358 loss_text: 0.1642 loss_kernel: 0.0716 2022/11/01 18:00:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:02:37 - mmengine - INFO - Epoch(train) [115][5/63] lr: 1.0000e-04 eta: 19:48:15 time: 10.3258 data_time: 9.4607 memory: 27783 loss: 0.2057 loss_text: 0.1422 loss_kernel: 0.0635 2022/11/01 18:02:42 - mmengine - INFO - Epoch(train) [115][10/63] lr: 1.0000e-04 eta: 19:52:59 time: 10.3962 data_time: 9.4897 memory: 27783 loss: 0.2222 loss_text: 0.1544 loss_kernel: 0.0678 2022/11/01 18:02:46 - mmengine - INFO - Epoch(train) [115][15/63] lr: 1.0000e-04 eta: 19:52:59 time: 0.9204 data_time: 0.0464 memory: 27783 loss: 0.2363 loss_text: 0.1649 loss_kernel: 0.0714 2022/11/01 18:02:51 - mmengine - INFO - Epoch(train) [115][20/63] lr: 1.0000e-04 eta: 19:51:34 time: 0.9067 data_time: 0.0248 memory: 27783 loss: 0.2187 loss_text: 0.1522 loss_kernel: 0.0666 2022/11/01 18:02:55 - mmengine - INFO - Epoch(train) [115][25/63] lr: 1.0000e-04 eta: 19:51:34 time: 0.9135 data_time: 0.0224 memory: 27783 loss: 0.2089 loss_text: 0.1458 loss_kernel: 0.0631 2022/11/01 18:03:00 - mmengine - INFO - Epoch(train) [115][30/63] lr: 1.0000e-04 eta: 19:50:10 time: 0.8993 data_time: 0.0182 memory: 27783 loss: 0.2313 loss_text: 0.1610 loss_kernel: 0.0703 2022/11/01 18:03:04 - mmengine - INFO - Epoch(train) [115][35/63] lr: 1.0000e-04 eta: 19:50:10 time: 0.9014 data_time: 0.0242 memory: 27783 loss: 0.2273 loss_text: 0.1559 loss_kernel: 0.0714 2022/11/01 18:03:09 - mmengine - INFO - Epoch(train) [115][40/63] lr: 1.0000e-04 eta: 19:48:48 time: 0.9534 data_time: 0.0205 memory: 27783 loss: 0.2010 loss_text: 0.1374 loss_kernel: 0.0636 2022/11/01 18:03:14 - mmengine - INFO - Epoch(train) [115][45/63] lr: 1.0000e-04 eta: 19:48:48 time: 0.9598 data_time: 0.0190 memory: 27783 loss: 0.2253 loss_text: 0.1556 loss_kernel: 0.0697 2022/11/01 18:03:18 - mmengine - INFO - Epoch(train) [115][50/63] lr: 1.0000e-04 eta: 19:47:25 time: 0.9085 data_time: 0.0230 memory: 27783 loss: 0.2442 loss_text: 0.1699 loss_kernel: 0.0743 2022/11/01 18:03:23 - mmengine - INFO - Epoch(train) [115][55/63] lr: 1.0000e-04 eta: 19:47:25 time: 0.8856 data_time: 0.0154 memory: 27783 loss: 0.2340 loss_text: 0.1626 loss_kernel: 0.0714 2022/11/01 18:03:27 - mmengine - INFO - Epoch(train) [115][60/63] lr: 1.0000e-04 eta: 19:46:00 time: 0.8772 data_time: 0.0165 memory: 27783 loss: 0.2402 loss_text: 0.1668 loss_kernel: 0.0734 2022/11/01 18:03:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:05:09 - mmengine - INFO - Epoch(train) [116][5/63] lr: 1.0000e-04 eta: 19:46:00 time: 10.3419 data_time: 9.5089 memory: 27783 loss: 0.2786 loss_text: 0.1943 loss_kernel: 0.0844 2022/11/01 18:05:13 - mmengine - INFO - Epoch(train) [116][10/63] lr: 1.0000e-04 eta: 19:50:41 time: 10.4127 data_time: 9.5131 memory: 27783 loss: 0.2654 loss_text: 0.1861 loss_kernel: 0.0793 2022/11/01 18:05:18 - mmengine - INFO - Epoch(train) [116][15/63] lr: 1.0000e-04 eta: 19:50:41 time: 0.9087 data_time: 0.0214 memory: 27783 loss: 0.2456 loss_text: 0.1717 loss_kernel: 0.0739 2022/11/01 18:05:23 - mmengine - INFO - Epoch(train) [116][20/63] lr: 1.0000e-04 eta: 19:49:18 time: 0.9175 data_time: 0.0252 memory: 27783 loss: 0.2147 loss_text: 0.1487 loss_kernel: 0.0660 2022/11/01 18:05:27 - mmengine - INFO - Epoch(train) [116][25/63] lr: 1.0000e-04 eta: 19:49:18 time: 0.9205 data_time: 0.0154 memory: 27783 loss: 0.2007 loss_text: 0.1387 loss_kernel: 0.0620 2022/11/01 18:05:32 - mmengine - INFO - Epoch(train) [116][30/63] lr: 1.0000e-04 eta: 19:47:55 time: 0.9319 data_time: 0.0179 memory: 27783 loss: 0.2039 loss_text: 0.1414 loss_kernel: 0.0626 2022/11/01 18:05:36 - mmengine - INFO - Epoch(train) [116][35/63] lr: 1.0000e-04 eta: 19:47:55 time: 0.9144 data_time: 0.0185 memory: 27783 loss: 0.1975 loss_text: 0.1375 loss_kernel: 0.0599 2022/11/01 18:05:41 - mmengine - INFO - Epoch(train) [116][40/63] lr: 1.0000e-04 eta: 19:46:32 time: 0.8986 data_time: 0.0165 memory: 27783 loss: 0.2502 loss_text: 0.1746 loss_kernel: 0.0756 2022/11/01 18:05:46 - mmengine - INFO - Epoch(train) [116][45/63] lr: 1.0000e-04 eta: 19:46:32 time: 0.9221 data_time: 0.0271 memory: 27783 loss: 0.2519 loss_text: 0.1745 loss_kernel: 0.0774 2022/11/01 18:05:50 - mmengine - INFO - Epoch(train) [116][50/63] lr: 1.0000e-04 eta: 19:45:09 time: 0.9038 data_time: 0.0187 memory: 27783 loss: 0.2178 loss_text: 0.1521 loss_kernel: 0.0657 2022/11/01 18:05:54 - mmengine - INFO - Epoch(train) [116][55/63] lr: 1.0000e-04 eta: 19:45:09 time: 0.8855 data_time: 0.0176 memory: 27783 loss: 0.2064 loss_text: 0.1435 loss_kernel: 0.0629 2022/11/01 18:05:59 - mmengine - INFO - Epoch(train) [116][60/63] lr: 1.0000e-04 eta: 19:43:48 time: 0.9482 data_time: 0.0233 memory: 27783 loss: 0.2119 loss_text: 0.1485 loss_kernel: 0.0635 2022/11/01 18:06:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:07:41 - mmengine - INFO - Epoch(train) [117][5/63] lr: 1.0000e-04 eta: 19:43:48 time: 10.3499 data_time: 9.4563 memory: 27783 loss: 0.2526 loss_text: 0.1789 loss_kernel: 0.0738 2022/11/01 18:07:46 - mmengine - INFO - Epoch(train) [117][10/63] lr: 1.0000e-04 eta: 19:48:24 time: 10.3775 data_time: 9.4721 memory: 27783 loss: 0.2621 loss_text: 0.1830 loss_kernel: 0.0791 2022/11/01 18:07:50 - mmengine - INFO - Epoch(train) [117][15/63] lr: 1.0000e-04 eta: 19:48:24 time: 0.9146 data_time: 0.0282 memory: 27783 loss: 0.2417 loss_text: 0.1680 loss_kernel: 0.0738 2022/11/01 18:07:55 - mmengine - INFO - Epoch(train) [117][20/63] lr: 1.0000e-04 eta: 19:47:00 time: 0.9014 data_time: 0.0221 memory: 27783 loss: 0.2072 loss_text: 0.1439 loss_kernel: 0.0633 2022/11/01 18:08:00 - mmengine - INFO - Epoch(train) [117][25/63] lr: 1.0000e-04 eta: 19:47:00 time: 0.9546 data_time: 0.0283 memory: 27783 loss: 0.2156 loss_text: 0.1483 loss_kernel: 0.0672 2022/11/01 18:08:04 - mmengine - INFO - Epoch(train) [117][30/63] lr: 1.0000e-04 eta: 19:45:39 time: 0.9301 data_time: 0.0148 memory: 27783 loss: 0.2454 loss_text: 0.1722 loss_kernel: 0.0732 2022/11/01 18:08:09 - mmengine - INFO - Epoch(train) [117][35/63] lr: 1.0000e-04 eta: 19:45:39 time: 0.9096 data_time: 0.0208 memory: 27783 loss: 0.2232 loss_text: 0.1566 loss_kernel: 0.0666 2022/11/01 18:08:13 - mmengine - INFO - Epoch(train) [117][40/63] lr: 1.0000e-04 eta: 19:44:16 time: 0.9010 data_time: 0.0221 memory: 27783 loss: 0.2380 loss_text: 0.1654 loss_kernel: 0.0726 2022/11/01 18:08:17 - mmengine - INFO - Epoch(train) [117][45/63] lr: 1.0000e-04 eta: 19:44:16 time: 0.8835 data_time: 0.0205 memory: 27783 loss: 0.2382 loss_text: 0.1677 loss_kernel: 0.0705 2022/11/01 18:08:22 - mmengine - INFO - Epoch(train) [117][50/63] lr: 1.0000e-04 eta: 19:42:52 time: 0.8825 data_time: 0.0256 memory: 27783 loss: 0.2335 loss_text: 0.1635 loss_kernel: 0.0699 2022/11/01 18:08:26 - mmengine - INFO - Epoch(train) [117][55/63] lr: 1.0000e-04 eta: 19:42:52 time: 0.8645 data_time: 0.0152 memory: 27783 loss: 0.2502 loss_text: 0.1733 loss_kernel: 0.0769 2022/11/01 18:08:31 - mmengine - INFO - Epoch(train) [117][60/63] lr: 1.0000e-04 eta: 19:41:29 time: 0.8683 data_time: 0.0150 memory: 27783 loss: 0.2271 loss_text: 0.1569 loss_kernel: 0.0702 2022/11/01 18:08:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:10:13 - mmengine - INFO - Epoch(train) [118][5/63] lr: 1.0000e-04 eta: 19:41:29 time: 10.3697 data_time: 9.4965 memory: 27783 loss: 0.2835 loss_text: 0.1983 loss_kernel: 0.0853 2022/11/01 18:10:17 - mmengine - INFO - Epoch(train) [118][10/63] lr: 1.0000e-04 eta: 19:46:05 time: 10.4627 data_time: 9.5047 memory: 27783 loss: 0.2365 loss_text: 0.1649 loss_kernel: 0.0716 2022/11/01 18:10:22 - mmengine - INFO - Epoch(train) [118][15/63] lr: 1.0000e-04 eta: 19:46:05 time: 0.9171 data_time: 0.0201 memory: 27783 loss: 0.2266 loss_text: 0.1567 loss_kernel: 0.0699 2022/11/01 18:10:27 - mmengine - INFO - Epoch(train) [118][20/63] lr: 1.0000e-04 eta: 19:44:43 time: 0.9269 data_time: 0.0212 memory: 27783 loss: 0.2583 loss_text: 0.1790 loss_kernel: 0.0793 2022/11/01 18:10:31 - mmengine - INFO - Epoch(train) [118][25/63] lr: 1.0000e-04 eta: 19:44:43 time: 0.9345 data_time: 0.0179 memory: 27783 loss: 0.2499 loss_text: 0.1728 loss_kernel: 0.0771 2022/11/01 18:10:36 - mmengine - INFO - Epoch(train) [118][30/63] lr: 1.0000e-04 eta: 19:43:21 time: 0.8940 data_time: 0.0183 memory: 27783 loss: 0.2498 loss_text: 0.1730 loss_kernel: 0.0768 2022/11/01 18:10:40 - mmengine - INFO - Epoch(train) [118][35/63] lr: 1.0000e-04 eta: 19:43:21 time: 0.8917 data_time: 0.0237 memory: 27783 loss: 0.2324 loss_text: 0.1605 loss_kernel: 0.0719 2022/11/01 18:10:45 - mmengine - INFO - Epoch(train) [118][40/63] lr: 1.0000e-04 eta: 19:42:00 time: 0.9366 data_time: 0.0163 memory: 27783 loss: 0.2288 loss_text: 0.1570 loss_kernel: 0.0718 2022/11/01 18:10:50 - mmengine - INFO - Epoch(train) [118][45/63] lr: 1.0000e-04 eta: 19:42:00 time: 0.9519 data_time: 0.0204 memory: 27783 loss: 0.2606 loss_text: 0.1798 loss_kernel: 0.0808 2022/11/01 18:10:54 - mmengine - INFO - Epoch(train) [118][50/63] lr: 1.0000e-04 eta: 19:40:39 time: 0.9166 data_time: 0.0213 memory: 27783 loss: 0.2479 loss_text: 0.1733 loss_kernel: 0.0746 2022/11/01 18:10:59 - mmengine - INFO - Epoch(train) [118][55/63] lr: 1.0000e-04 eta: 19:40:39 time: 0.8994 data_time: 0.0168 memory: 27783 loss: 0.2394 loss_text: 0.1690 loss_kernel: 0.0704 2022/11/01 18:11:03 - mmengine - INFO - Epoch(train) [118][60/63] lr: 1.0000e-04 eta: 19:39:17 time: 0.8972 data_time: 0.0199 memory: 27783 loss: 0.2251 loss_text: 0.1572 loss_kernel: 0.0679 2022/11/01 18:11:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:12:45 - mmengine - INFO - Epoch(train) [119][5/63] lr: 1.0000e-04 eta: 19:39:17 time: 10.3619 data_time: 9.4969 memory: 27783 loss: 0.2130 loss_text: 0.1470 loss_kernel: 0.0660 2022/11/01 18:12:50 - mmengine - INFO - Epoch(train) [119][10/63] lr: 1.0000e-04 eta: 19:43:47 time: 10.4091 data_time: 9.4998 memory: 27783 loss: 0.2243 loss_text: 0.1551 loss_kernel: 0.0692 2022/11/01 18:12:54 - mmengine - INFO - Epoch(train) [119][15/63] lr: 1.0000e-04 eta: 19:43:47 time: 0.8833 data_time: 0.0179 memory: 27783 loss: 0.2317 loss_text: 0.1602 loss_kernel: 0.0715 2022/11/01 18:12:58 - mmengine - INFO - Epoch(train) [119][20/63] lr: 1.0000e-04 eta: 19:42:25 time: 0.8858 data_time: 0.0172 memory: 27783 loss: 0.2327 loss_text: 0.1619 loss_kernel: 0.0708 2022/11/01 18:13:03 - mmengine - INFO - Epoch(train) [119][25/63] lr: 1.0000e-04 eta: 19:42:25 time: 0.8841 data_time: 0.0189 memory: 27783 loss: 0.2129 loss_text: 0.1471 loss_kernel: 0.0657 2022/11/01 18:13:07 - mmengine - INFO - Epoch(train) [119][30/63] lr: 1.0000e-04 eta: 19:41:02 time: 0.8834 data_time: 0.0179 memory: 27783 loss: 0.2122 loss_text: 0.1464 loss_kernel: 0.0658 2022/11/01 18:13:12 - mmengine - INFO - Epoch(train) [119][35/63] lr: 1.0000e-04 eta: 19:41:02 time: 0.9451 data_time: 0.0278 memory: 27783 loss: 0.1870 loss_text: 0.1297 loss_kernel: 0.0573 2022/11/01 18:13:17 - mmengine - INFO - Epoch(train) [119][40/63] lr: 1.0000e-04 eta: 19:39:43 time: 0.9537 data_time: 0.0195 memory: 27783 loss: 0.1914 loss_text: 0.1329 loss_kernel: 0.0585 2022/11/01 18:13:21 - mmengine - INFO - Epoch(train) [119][45/63] lr: 1.0000e-04 eta: 19:39:43 time: 0.9187 data_time: 0.0176 memory: 27783 loss: 0.2239 loss_text: 0.1545 loss_kernel: 0.0693 2022/11/01 18:13:26 - mmengine - INFO - Epoch(train) [119][50/63] lr: 1.0000e-04 eta: 19:38:22 time: 0.9135 data_time: 0.0277 memory: 27783 loss: 0.2105 loss_text: 0.1450 loss_kernel: 0.0654 2022/11/01 18:13:30 - mmengine - INFO - Epoch(train) [119][55/63] lr: 1.0000e-04 eta: 19:38:22 time: 0.8899 data_time: 0.0185 memory: 27783 loss: 0.2319 loss_text: 0.1611 loss_kernel: 0.0708 2022/11/01 18:13:35 - mmengine - INFO - Epoch(train) [119][60/63] lr: 1.0000e-04 eta: 19:37:00 time: 0.8887 data_time: 0.0145 memory: 27783 loss: 0.2300 loss_text: 0.1589 loss_kernel: 0.0711 2022/11/01 18:13:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:15:17 - mmengine - INFO - Epoch(train) [120][5/63] lr: 1.0000e-04 eta: 19:37:00 time: 10.3508 data_time: 9.5321 memory: 27783 loss: 0.2877 loss_text: 0.1998 loss_kernel: 0.0879 2022/11/01 18:15:21 - mmengine - INFO - Epoch(train) [120][10/63] lr: 1.0000e-04 eta: 19:41:28 time: 10.4192 data_time: 9.5454 memory: 27783 loss: 0.2819 loss_text: 0.1947 loss_kernel: 0.0872 2022/11/01 18:15:25 - mmengine - INFO - Epoch(train) [120][15/63] lr: 1.0000e-04 eta: 19:41:28 time: 0.8908 data_time: 0.0207 memory: 27783 loss: 0.2284 loss_text: 0.1582 loss_kernel: 0.0702 2022/11/01 18:15:30 - mmengine - INFO - Epoch(train) [120][20/63] lr: 1.0000e-04 eta: 19:40:05 time: 0.8669 data_time: 0.0188 memory: 27783 loss: 0.2354 loss_text: 0.1639 loss_kernel: 0.0714 2022/11/01 18:15:36 - mmengine - INFO - Epoch(train) [120][25/63] lr: 1.0000e-04 eta: 19:40:05 time: 1.0234 data_time: 0.0381 memory: 27783 loss: 0.2662 loss_text: 0.1849 loss_kernel: 0.0813 2022/11/01 18:15:40 - mmengine - INFO - Epoch(train) [120][30/63] lr: 1.0000e-04 eta: 19:38:50 time: 1.0463 data_time: 0.0266 memory: 27783 loss: 0.2447 loss_text: 0.1702 loss_kernel: 0.0745 2022/11/01 18:15:45 - mmengine - INFO - Epoch(train) [120][35/63] lr: 1.0000e-04 eta: 19:38:50 time: 0.9227 data_time: 0.0184 memory: 27783 loss: 0.1906 loss_text: 0.1323 loss_kernel: 0.0583 2022/11/01 18:15:49 - mmengine - INFO - Epoch(train) [120][40/63] lr: 1.0000e-04 eta: 19:37:30 time: 0.9158 data_time: 0.0187 memory: 27783 loss: 0.1903 loss_text: 0.1314 loss_kernel: 0.0589 2022/11/01 18:15:54 - mmengine - INFO - Epoch(train) [120][45/63] lr: 1.0000e-04 eta: 19:37:30 time: 0.9056 data_time: 0.0183 memory: 27783 loss: 0.1928 loss_text: 0.1328 loss_kernel: 0.0600 2022/11/01 18:15:59 - mmengine - INFO - Epoch(train) [120][50/63] lr: 1.0000e-04 eta: 19:36:09 time: 0.9025 data_time: 0.0282 memory: 27783 loss: 0.1837 loss_text: 0.1267 loss_kernel: 0.0570 2022/11/01 18:16:03 - mmengine - INFO - Epoch(train) [120][55/63] lr: 1.0000e-04 eta: 19:36:09 time: 0.8953 data_time: 0.0171 memory: 27783 loss: 0.1721 loss_text: 0.1183 loss_kernel: 0.0538 2022/11/01 18:16:08 - mmengine - INFO - Epoch(train) [120][60/63] lr: 1.0000e-04 eta: 19:34:48 time: 0.9079 data_time: 0.0142 memory: 27783 loss: 0.1950 loss_text: 0.1353 loss_kernel: 0.0597 2022/11/01 18:16:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:16:10 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/11/01 18:16:48 - mmengine - INFO - Epoch(val) [120][5/500] eta: 19:34:48 time: 3.2432 data_time: 3.1677 memory: 27783 2022/11/01 18:16:48 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:26:33 time: 3.2523 data_time: 3.1760 memory: 3208 2022/11/01 18:16:48 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:26:33 time: 0.0812 data_time: 0.0112 memory: 3208 2022/11/01 18:16:49 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:00:35 time: 0.0738 data_time: 0.0038 memory: 3208 2022/11/01 18:16:49 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:00:35 time: 0.0722 data_time: 0.0035 memory: 3208 2022/11/01 18:16:49 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:00:34 time: 0.0725 data_time: 0.0025 memory: 3208 2022/11/01 18:16:50 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:00:34 time: 0.0738 data_time: 0.0025 memory: 3208 2022/11/01 18:16:50 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:35 time: 0.0763 data_time: 0.0025 memory: 3208 2022/11/01 18:16:51 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:35 time: 0.0762 data_time: 0.0025 memory: 3208 2022/11/01 18:16:51 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:31 time: 0.0704 data_time: 0.0025 memory: 3208 2022/11/01 18:16:51 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:31 time: 0.0705 data_time: 0.0026 memory: 3208 2022/11/01 18:16:52 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:00:31 time: 0.0713 data_time: 0.0027 memory: 3208 2022/11/01 18:16:52 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:00:31 time: 0.0736 data_time: 0.0026 memory: 3208 2022/11/01 18:16:52 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:00:32 time: 0.0754 data_time: 0.0026 memory: 3208 2022/11/01 18:16:53 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:00:32 time: 0.0707 data_time: 0.0027 memory: 3208 2022/11/01 18:16:53 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:00:28 time: 0.0674 data_time: 0.0026 memory: 3208 2022/11/01 18:16:53 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:00:28 time: 0.0666 data_time: 0.0027 memory: 3208 2022/11/01 18:16:54 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:00:29 time: 0.0722 data_time: 0.0026 memory: 3208 2022/11/01 18:16:54 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:00:29 time: 0.0747 data_time: 0.0025 memory: 3208 2022/11/01 18:16:55 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:00:27 time: 0.0697 data_time: 0.0024 memory: 3208 2022/11/01 18:16:55 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:00:27 time: 0.0713 data_time: 0.0025 memory: 3208 2022/11/01 18:16:55 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:00:28 time: 0.0718 data_time: 0.0025 memory: 3208 2022/11/01 18:16:56 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:00:28 time: 0.0695 data_time: 0.0023 memory: 3208 2022/11/01 18:16:56 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:26 time: 0.0708 data_time: 0.0023 memory: 3208 2022/11/01 18:16:56 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:26 time: 0.0722 data_time: 0.0024 memory: 3208 2022/11/01 18:16:57 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:00:25 time: 0.0699 data_time: 0.0023 memory: 3208 2022/11/01 18:16:57 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:00:25 time: 0.0687 data_time: 0.0024 memory: 3208 2022/11/01 18:16:57 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:24 time: 0.0685 data_time: 0.0023 memory: 3208 2022/11/01 18:16:58 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:24 time: 0.0722 data_time: 0.0023 memory: 3208 2022/11/01 18:16:58 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:26 time: 0.0766 data_time: 0.0026 memory: 3208 2022/11/01 18:16:59 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:26 time: 0.0789 data_time: 0.0025 memory: 3208 2022/11/01 18:16:59 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:25 time: 0.0757 data_time: 0.0026 memory: 3208 2022/11/01 18:16:59 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:25 time: 0.0723 data_time: 0.0028 memory: 3208 2022/11/01 18:17:00 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:23 time: 0.0712 data_time: 0.0024 memory: 3208 2022/11/01 18:17:00 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:23 time: 0.0685 data_time: 0.0023 memory: 3208 2022/11/01 18:17:00 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:22 time: 0.0714 data_time: 0.0024 memory: 3208 2022/11/01 18:17:01 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:22 time: 0.0741 data_time: 0.0025 memory: 3208 2022/11/01 18:17:01 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:23 time: 0.0747 data_time: 0.0025 memory: 3208 2022/11/01 18:17:01 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:23 time: 0.0722 data_time: 0.0025 memory: 3208 2022/11/01 18:17:02 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:00:22 time: 0.0751 data_time: 0.0024 memory: 3208 2022/11/01 18:17:02 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:00:22 time: 0.0733 data_time: 0.0023 memory: 3208 2022/11/01 18:17:02 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:00:19 time: 0.0677 data_time: 0.0024 memory: 3208 2022/11/01 18:17:03 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:00:19 time: 0.0729 data_time: 0.0027 memory: 3208 2022/11/01 18:17:03 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:24 time: 0.0882 data_time: 0.0165 memory: 3208 2022/11/01 18:17:04 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:24 time: 0.0866 data_time: 0.0163 memory: 3208 2022/11/01 18:17:04 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:18 time: 0.0701 data_time: 0.0024 memory: 3208 2022/11/01 18:17:04 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:18 time: 0.0700 data_time: 0.0023 memory: 3208 2022/11/01 18:17:05 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:18 time: 0.0717 data_time: 0.0022 memory: 3208 2022/11/01 18:17:05 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:18 time: 0.0716 data_time: 0.0025 memory: 3208 2022/11/01 18:17:05 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:18 time: 0.0730 data_time: 0.0026 memory: 3208 2022/11/01 18:17:06 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:18 time: 0.0713 data_time: 0.0026 memory: 3208 2022/11/01 18:17:06 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:17 time: 0.0723 data_time: 0.0028 memory: 3208 2022/11/01 18:17:07 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:17 time: 0.0727 data_time: 0.0028 memory: 3208 2022/11/01 18:17:07 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:16 time: 0.0698 data_time: 0.0025 memory: 3208 2022/11/01 18:17:07 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:16 time: 0.0691 data_time: 0.0025 memory: 3208 2022/11/01 18:17:08 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:15 time: 0.0715 data_time: 0.0024 memory: 3208 2022/11/01 18:17:08 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:15 time: 0.0704 data_time: 0.0023 memory: 3208 2022/11/01 18:17:08 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:00:14 time: 0.0713 data_time: 0.0025 memory: 3208 2022/11/01 18:17:09 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:00:14 time: 0.0723 data_time: 0.0024 memory: 3208 2022/11/01 18:17:09 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:14 time: 0.0704 data_time: 0.0025 memory: 3208 2022/11/01 18:17:09 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:14 time: 0.0701 data_time: 0.0025 memory: 3208 2022/11/01 18:17:10 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:13 time: 0.0686 data_time: 0.0023 memory: 3208 2022/11/01 18:17:10 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:13 time: 0.0714 data_time: 0.0024 memory: 3208 2022/11/01 18:17:10 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:12 time: 0.0707 data_time: 0.0024 memory: 3208 2022/11/01 18:17:11 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:12 time: 0.0800 data_time: 0.0024 memory: 3208 2022/11/01 18:17:11 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:13 time: 0.0816 data_time: 0.0025 memory: 3208 2022/11/01 18:17:12 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:13 time: 0.0695 data_time: 0.0026 memory: 3208 2022/11/01 18:17:12 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:13 time: 0.0813 data_time: 0.0026 memory: 3208 2022/11/01 18:17:12 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:13 time: 0.0825 data_time: 0.0026 memory: 3208 2022/11/01 18:17:13 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:11 time: 0.0742 data_time: 0.0026 memory: 3208 2022/11/01 18:17:13 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:11 time: 0.0728 data_time: 0.0025 memory: 3208 2022/11/01 18:17:13 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:09 time: 0.0689 data_time: 0.0024 memory: 3208 2022/11/01 18:17:14 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:09 time: 0.0769 data_time: 0.0091 memory: 3208 2022/11/01 18:17:14 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:09 time: 0.0734 data_time: 0.0090 memory: 3208 2022/11/01 18:17:15 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:09 time: 0.0655 data_time: 0.0023 memory: 3208 2022/11/01 18:17:15 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:08 time: 0.0712 data_time: 0.0024 memory: 3208 2022/11/01 18:17:15 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:08 time: 0.0720 data_time: 0.0024 memory: 3208 2022/11/01 18:17:16 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:07 time: 0.0706 data_time: 0.0025 memory: 3208 2022/11/01 18:17:16 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:07 time: 0.0697 data_time: 0.0024 memory: 3208 2022/11/01 18:17:16 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:06 time: 0.0686 data_time: 0.0024 memory: 3208 2022/11/01 18:17:17 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:06 time: 0.0697 data_time: 0.0025 memory: 3208 2022/11/01 18:17:17 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:06 time: 0.0704 data_time: 0.0024 memory: 3208 2022/11/01 18:17:17 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:06 time: 0.0716 data_time: 0.0028 memory: 3208 2022/11/01 18:17:18 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:05 time: 0.0705 data_time: 0.0030 memory: 3208 2022/11/01 18:17:18 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:05 time: 0.0709 data_time: 0.0031 memory: 3208 2022/11/01 18:17:18 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:05 time: 0.0732 data_time: 0.0031 memory: 3208 2022/11/01 18:17:19 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:05 time: 0.0713 data_time: 0.0029 memory: 3208 2022/11/01 18:17:19 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:04 time: 0.0782 data_time: 0.0045 memory: 3208 2022/11/01 18:17:20 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:04 time: 0.0813 data_time: 0.0046 memory: 3208 2022/11/01 18:17:20 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:03 time: 0.0788 data_time: 0.0032 memory: 3208 2022/11/01 18:17:20 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:03 time: 0.0767 data_time: 0.0028 memory: 3208 2022/11/01 18:17:21 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:02 time: 0.0703 data_time: 0.0026 memory: 3208 2022/11/01 18:17:21 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:02 time: 0.0704 data_time: 0.0027 memory: 3208 2022/11/01 18:17:21 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:02 time: 0.0683 data_time: 0.0025 memory: 3208 2022/11/01 18:17:22 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:02 time: 0.0671 data_time: 0.0025 memory: 3208 2022/11/01 18:17:22 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:01 time: 0.0704 data_time: 0.0026 memory: 3208 2022/11/01 18:17:22 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:01 time: 0.0699 data_time: 0.0024 memory: 3208 2022/11/01 18:17:23 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:00 time: 0.0709 data_time: 0.0024 memory: 3208 2022/11/01 18:17:23 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:00 time: 0.0751 data_time: 0.0028 memory: 3208 2022/11/01 18:17:24 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.0737 data_time: 0.0032 memory: 3208 2022/11/01 18:17:24 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 18:17:24 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7106, precision: 0.7117, hmean: 0.7112 2022/11/01 18:17:24 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7106, precision: 0.7117, hmean: 0.7112 2022/11/01 18:17:24 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7106, precision: 0.7117, hmean: 0.7112 2022/11/01 18:17:24 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7106, precision: 0.7500, hmean: 0.7298 2022/11/01 18:17:24 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7092, precision: 0.7869, hmean: 0.7460 2022/11/01 18:17:24 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6991, precision: 0.8190, hmean: 0.7543 2022/11/01 18:17:24 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6562, precision: 0.8682, hmean: 0.7475 2022/11/01 18:17:24 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.8190 icdar/recall: 0.6991 icdar/hmean: 0.7543 2022/11/01 18:19:04 - mmengine - INFO - Epoch(train) [121][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 10.4031 data_time: 9.5070 memory: 27783 loss: 0.2023 loss_text: 0.1416 loss_kernel: 0.0606 2022/11/01 18:19:08 - mmengine - INFO - Epoch(train) [121][10/63] lr: 1.0000e-04 eta: 19:39:15 time: 10.4656 data_time: 9.5254 memory: 27783 loss: 0.1948 loss_text: 0.1342 loss_kernel: 0.0606 2022/11/01 18:19:13 - mmengine - INFO - Epoch(train) [121][15/63] lr: 1.0000e-04 eta: 19:39:15 time: 0.9537 data_time: 0.0248 memory: 27783 loss: 0.2390 loss_text: 0.1641 loss_kernel: 0.0749 2022/11/01 18:19:18 - mmengine - INFO - Epoch(train) [121][20/63] lr: 1.0000e-04 eta: 19:37:56 time: 0.9466 data_time: 0.0182 memory: 27783 loss: 0.2487 loss_text: 0.1734 loss_kernel: 0.0753 2022/11/01 18:19:23 - mmengine - INFO - Epoch(train) [121][25/63] lr: 1.0000e-04 eta: 19:37:56 time: 0.9346 data_time: 0.0282 memory: 27783 loss: 0.2323 loss_text: 0.1620 loss_kernel: 0.0703 2022/11/01 18:19:27 - mmengine - INFO - Epoch(train) [121][30/63] lr: 1.0000e-04 eta: 19:36:35 time: 0.8971 data_time: 0.0159 memory: 27783 loss: 0.2498 loss_text: 0.1730 loss_kernel: 0.0768 2022/11/01 18:19:31 - mmengine - INFO - Epoch(train) [121][35/63] lr: 1.0000e-04 eta: 19:36:35 time: 0.8728 data_time: 0.0146 memory: 27783 loss: 0.2823 loss_text: 0.1958 loss_kernel: 0.0865 2022/11/01 18:19:36 - mmengine - INFO - Epoch(train) [121][40/63] lr: 1.0000e-04 eta: 19:35:14 time: 0.8863 data_time: 0.0161 memory: 27783 loss: 0.2372 loss_text: 0.1656 loss_kernel: 0.0715 2022/11/01 18:19:40 - mmengine - INFO - Epoch(train) [121][45/63] lr: 1.0000e-04 eta: 19:35:14 time: 0.9078 data_time: 0.0171 memory: 27783 loss: 0.1789 loss_text: 0.1248 loss_kernel: 0.0541 2022/11/01 18:19:45 - mmengine - INFO - Epoch(train) [121][50/63] lr: 1.0000e-04 eta: 19:33:56 time: 0.9396 data_time: 0.0276 memory: 27783 loss: 0.1694 loss_text: 0.1172 loss_kernel: 0.0522 2022/11/01 18:19:50 - mmengine - INFO - Epoch(train) [121][55/63] lr: 1.0000e-04 eta: 19:33:56 time: 0.9245 data_time: 0.0179 memory: 27783 loss: 0.2326 loss_text: 0.1636 loss_kernel: 0.0690 2022/11/01 18:19:54 - mmengine - INFO - Epoch(train) [121][60/63] lr: 1.0000e-04 eta: 19:32:35 time: 0.8933 data_time: 0.0147 memory: 27783 loss: 0.3066 loss_text: 0.2156 loss_kernel: 0.0910 2022/11/01 18:19:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:21:37 - mmengine - INFO - Epoch(train) [122][5/63] lr: 1.0000e-04 eta: 19:32:35 time: 10.4207 data_time: 9.5628 memory: 27783 loss: 0.2708 loss_text: 0.1919 loss_kernel: 0.0788 2022/11/01 18:21:41 - mmengine - INFO - Epoch(train) [122][10/63] lr: 1.0000e-04 eta: 19:36:59 time: 10.4731 data_time: 9.5662 memory: 27783 loss: 0.2380 loss_text: 0.1649 loss_kernel: 0.0730 2022/11/01 18:21:46 - mmengine - INFO - Epoch(train) [122][15/63] lr: 1.0000e-04 eta: 19:36:59 time: 0.9598 data_time: 0.0161 memory: 27783 loss: 0.2031 loss_text: 0.1395 loss_kernel: 0.0635 2022/11/01 18:21:51 - mmengine - INFO - Epoch(train) [122][20/63] lr: 1.0000e-04 eta: 19:35:41 time: 0.9625 data_time: 0.0233 memory: 27783 loss: 0.2299 loss_text: 0.1586 loss_kernel: 0.0713 2022/11/01 18:21:55 - mmengine - INFO - Epoch(train) [122][25/63] lr: 1.0000e-04 eta: 19:35:41 time: 0.8916 data_time: 0.0198 memory: 27783 loss: 0.2298 loss_text: 0.1596 loss_kernel: 0.0701 2022/11/01 18:22:00 - mmengine - INFO - Epoch(train) [122][30/63] lr: 1.0000e-04 eta: 19:34:22 time: 0.9189 data_time: 0.0299 memory: 27783 loss: 0.2291 loss_text: 0.1590 loss_kernel: 0.0700 2022/11/01 18:22:04 - mmengine - INFO - Epoch(train) [122][35/63] lr: 1.0000e-04 eta: 19:34:22 time: 0.9321 data_time: 0.0375 memory: 27783 loss: 0.2541 loss_text: 0.1761 loss_kernel: 0.0779 2022/11/01 18:22:09 - mmengine - INFO - Epoch(train) [122][40/63] lr: 1.0000e-04 eta: 19:33:04 time: 0.9463 data_time: 0.0194 memory: 27783 loss: 0.2239 loss_text: 0.1553 loss_kernel: 0.0685 2022/11/01 18:22:14 - mmengine - INFO - Epoch(train) [122][45/63] lr: 1.0000e-04 eta: 19:33:04 time: 0.9456 data_time: 0.0201 memory: 27783 loss: 0.1959 loss_text: 0.1354 loss_kernel: 0.0606 2022/11/01 18:22:18 - mmengine - INFO - Epoch(train) [122][50/63] lr: 1.0000e-04 eta: 19:31:45 time: 0.9087 data_time: 0.0216 memory: 27783 loss: 0.1961 loss_text: 0.1365 loss_kernel: 0.0596 2022/11/01 18:22:23 - mmengine - INFO - Epoch(train) [122][55/63] lr: 1.0000e-04 eta: 19:31:45 time: 0.9162 data_time: 0.0167 memory: 27783 loss: 0.2273 loss_text: 0.1591 loss_kernel: 0.0682 2022/11/01 18:22:28 - mmengine - INFO - Epoch(train) [122][60/63] lr: 1.0000e-04 eta: 19:30:26 time: 0.9197 data_time: 0.0227 memory: 27783 loss: 0.2333 loss_text: 0.1635 loss_kernel: 0.0697 2022/11/01 18:22:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:24:09 - mmengine - INFO - Epoch(train) [123][5/63] lr: 1.0000e-04 eta: 19:30:26 time: 10.2814 data_time: 9.4552 memory: 27783 loss: 0.2759 loss_text: 0.1914 loss_kernel: 0.0845 2022/11/01 18:24:13 - mmengine - INFO - Epoch(train) [123][10/63] lr: 1.0000e-04 eta: 19:34:41 time: 10.3440 data_time: 9.4721 memory: 27783 loss: 0.2421 loss_text: 0.1677 loss_kernel: 0.0744 2022/11/01 18:24:18 - mmengine - INFO - Epoch(train) [123][15/63] lr: 1.0000e-04 eta: 19:34:41 time: 0.8934 data_time: 0.0282 memory: 27783 loss: 0.2095 loss_text: 0.1464 loss_kernel: 0.0630 2022/11/01 18:24:22 - mmengine - INFO - Epoch(train) [123][20/63] lr: 1.0000e-04 eta: 19:33:21 time: 0.8732 data_time: 0.0212 memory: 27783 loss: 0.2335 loss_text: 0.1619 loss_kernel: 0.0716 2022/11/01 18:24:27 - mmengine - INFO - Epoch(train) [123][25/63] lr: 1.0000e-04 eta: 19:33:21 time: 0.9348 data_time: 0.0336 memory: 27783 loss: 0.2106 loss_text: 0.1452 loss_kernel: 0.0653 2022/11/01 18:24:32 - mmengine - INFO - Epoch(train) [123][30/63] lr: 1.0000e-04 eta: 19:32:03 time: 0.9555 data_time: 0.0257 memory: 27783 loss: 0.2301 loss_text: 0.1586 loss_kernel: 0.0715 2022/11/01 18:24:36 - mmengine - INFO - Epoch(train) [123][35/63] lr: 1.0000e-04 eta: 19:32:03 time: 0.8990 data_time: 0.0157 memory: 27783 loss: 0.2567 loss_text: 0.1782 loss_kernel: 0.0785 2022/11/01 18:24:41 - mmengine - INFO - Epoch(train) [123][40/63] lr: 1.0000e-04 eta: 19:30:44 time: 0.9075 data_time: 0.0139 memory: 27783 loss: 0.2193 loss_text: 0.1535 loss_kernel: 0.0658 2022/11/01 18:24:45 - mmengine - INFO - Epoch(train) [123][45/63] lr: 1.0000e-04 eta: 19:30:44 time: 0.9308 data_time: 0.0249 memory: 27783 loss: 0.2079 loss_text: 0.1435 loss_kernel: 0.0644 2022/11/01 18:24:50 - mmengine - INFO - Epoch(train) [123][50/63] lr: 1.0000e-04 eta: 19:29:26 time: 0.9099 data_time: 0.0227 memory: 27783 loss: 0.2248 loss_text: 0.1552 loss_kernel: 0.0697 2022/11/01 18:24:54 - mmengine - INFO - Epoch(train) [123][55/63] lr: 1.0000e-04 eta: 19:29:26 time: 0.8857 data_time: 0.0168 memory: 27783 loss: 0.2541 loss_text: 0.1763 loss_kernel: 0.0777 2022/11/01 18:24:59 - mmengine - INFO - Epoch(train) [123][60/63] lr: 1.0000e-04 eta: 19:28:06 time: 0.8844 data_time: 0.0164 memory: 27783 loss: 0.2271 loss_text: 0.1569 loss_kernel: 0.0702 2022/11/01 18:25:01 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:26:40 - mmengine - INFO - Epoch(train) [124][5/63] lr: 1.0000e-04 eta: 19:28:06 time: 10.3456 data_time: 9.4962 memory: 27783 loss: 0.2407 loss_text: 0.1676 loss_kernel: 0.0730 2022/11/01 18:26:45 - mmengine - INFO - Epoch(train) [124][10/63] lr: 1.0000e-04 eta: 19:32:21 time: 10.3965 data_time: 9.5071 memory: 27783 loss: 0.2591 loss_text: 0.1809 loss_kernel: 0.0782 2022/11/01 18:26:50 - mmengine - INFO - Epoch(train) [124][15/63] lr: 1.0000e-04 eta: 19:32:21 time: 0.9132 data_time: 0.0219 memory: 27783 loss: 0.2267 loss_text: 0.1572 loss_kernel: 0.0695 2022/11/01 18:26:54 - mmengine - INFO - Epoch(train) [124][20/63] lr: 1.0000e-04 eta: 19:31:04 time: 0.9514 data_time: 0.0194 memory: 27783 loss: 0.2441 loss_text: 0.1680 loss_kernel: 0.0760 2022/11/01 18:27:00 - mmengine - INFO - Epoch(train) [124][25/63] lr: 1.0000e-04 eta: 19:31:04 time: 1.0129 data_time: 0.0264 memory: 27783 loss: 0.2925 loss_text: 0.2029 loss_kernel: 0.0896 2022/11/01 18:27:04 - mmengine - INFO - Epoch(train) [124][30/63] lr: 1.0000e-04 eta: 19:29:48 time: 0.9745 data_time: 0.0182 memory: 27783 loss: 0.2540 loss_text: 0.1782 loss_kernel: 0.0758 2022/11/01 18:27:09 - mmengine - INFO - Epoch(train) [124][35/63] lr: 1.0000e-04 eta: 19:29:48 time: 0.9053 data_time: 0.0200 memory: 27783 loss: 0.2327 loss_text: 0.1640 loss_kernel: 0.0688 2022/11/01 18:27:13 - mmengine - INFO - Epoch(train) [124][40/63] lr: 1.0000e-04 eta: 19:28:29 time: 0.8996 data_time: 0.0161 memory: 27783 loss: 0.2384 loss_text: 0.1674 loss_kernel: 0.0710 2022/11/01 18:27:18 - mmengine - INFO - Epoch(train) [124][45/63] lr: 1.0000e-04 eta: 19:28:29 time: 0.8968 data_time: 0.0173 memory: 27783 loss: 0.2105 loss_text: 0.1471 loss_kernel: 0.0634 2022/11/01 18:27:22 - mmengine - INFO - Epoch(train) [124][50/63] lr: 1.0000e-04 eta: 19:27:10 time: 0.9028 data_time: 0.0264 memory: 27783 loss: 0.2064 loss_text: 0.1429 loss_kernel: 0.0635 2022/11/01 18:27:26 - mmengine - INFO - Epoch(train) [124][55/63] lr: 1.0000e-04 eta: 19:27:10 time: 0.8799 data_time: 0.0179 memory: 27783 loss: 0.2631 loss_text: 0.1831 loss_kernel: 0.0800 2022/11/01 18:27:31 - mmengine - INFO - Epoch(train) [124][60/63] lr: 1.0000e-04 eta: 19:25:52 time: 0.9039 data_time: 0.0166 memory: 27783 loss: 0.2798 loss_text: 0.1954 loss_kernel: 0.0844 2022/11/01 18:27:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:29:13 - mmengine - INFO - Epoch(train) [125][5/63] lr: 1.0000e-04 eta: 19:25:52 time: 10.3738 data_time: 9.4638 memory: 27783 loss: 0.2637 loss_text: 0.1845 loss_kernel: 0.0792 2022/11/01 18:29:19 - mmengine - INFO - Epoch(train) [125][10/63] lr: 1.0000e-04 eta: 19:30:06 time: 10.4557 data_time: 9.4900 memory: 27783 loss: 0.2401 loss_text: 0.1673 loss_kernel: 0.0728 2022/11/01 18:29:23 - mmengine - INFO - Epoch(train) [125][15/63] lr: 1.0000e-04 eta: 19:30:06 time: 1.0002 data_time: 0.0323 memory: 27783 loss: 0.2064 loss_text: 0.1431 loss_kernel: 0.0633 2022/11/01 18:29:28 - mmengine - INFO - Epoch(train) [125][20/63] lr: 1.0000e-04 eta: 19:28:48 time: 0.9152 data_time: 0.0178 memory: 27783 loss: 0.2050 loss_text: 0.1423 loss_kernel: 0.0627 2022/11/01 18:29:32 - mmengine - INFO - Epoch(train) [125][25/63] lr: 1.0000e-04 eta: 19:28:48 time: 0.9353 data_time: 0.0288 memory: 27783 loss: 0.2193 loss_text: 0.1511 loss_kernel: 0.0682 2022/11/01 18:29:37 - mmengine - INFO - Epoch(train) [125][30/63] lr: 1.0000e-04 eta: 19:27:31 time: 0.9231 data_time: 0.0169 memory: 27783 loss: 0.2327 loss_text: 0.1608 loss_kernel: 0.0718 2022/11/01 18:29:41 - mmengine - INFO - Epoch(train) [125][35/63] lr: 1.0000e-04 eta: 19:27:31 time: 0.8955 data_time: 0.0175 memory: 27783 loss: 0.2359 loss_text: 0.1635 loss_kernel: 0.0724 2022/11/01 18:29:46 - mmengine - INFO - Epoch(train) [125][40/63] lr: 1.0000e-04 eta: 19:26:13 time: 0.9045 data_time: 0.0184 memory: 27783 loss: 0.2071 loss_text: 0.1422 loss_kernel: 0.0649 2022/11/01 18:29:51 - mmengine - INFO - Epoch(train) [125][45/63] lr: 1.0000e-04 eta: 19:26:13 time: 0.9165 data_time: 0.0168 memory: 27783 loss: 0.2246 loss_text: 0.1546 loss_kernel: 0.0700 2022/11/01 18:29:56 - mmengine - INFO - Epoch(train) [125][50/63] lr: 1.0000e-04 eta: 19:24:57 time: 0.9616 data_time: 0.0280 memory: 27783 loss: 0.2763 loss_text: 0.1915 loss_kernel: 0.0847 2022/11/01 18:30:00 - mmengine - INFO - Epoch(train) [125][55/63] lr: 1.0000e-04 eta: 19:24:57 time: 0.9596 data_time: 0.0180 memory: 27783 loss: 0.2748 loss_text: 0.1908 loss_kernel: 0.0839 2022/11/01 18:30:05 - mmengine - INFO - Epoch(train) [125][60/63] lr: 1.0000e-04 eta: 19:23:40 time: 0.9200 data_time: 0.0156 memory: 27783 loss: 0.2114 loss_text: 0.1474 loss_kernel: 0.0640 2022/11/01 18:30:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:31:47 - mmengine - INFO - Epoch(train) [126][5/63] lr: 1.0000e-04 eta: 19:23:40 time: 10.3694 data_time: 9.4736 memory: 27783 loss: 0.2014 loss_text: 0.1396 loss_kernel: 0.0618 2022/11/01 18:31:51 - mmengine - INFO - Epoch(train) [126][10/63] lr: 1.0000e-04 eta: 19:27:50 time: 10.4321 data_time: 9.4871 memory: 27783 loss: 0.2310 loss_text: 0.1592 loss_kernel: 0.0718 2022/11/01 18:31:56 - mmengine - INFO - Epoch(train) [126][15/63] lr: 1.0000e-04 eta: 19:27:50 time: 0.9097 data_time: 0.0213 memory: 27783 loss: 0.2607 loss_text: 0.1829 loss_kernel: 0.0778 2022/11/01 18:32:00 - mmengine - INFO - Epoch(train) [126][20/63] lr: 1.0000e-04 eta: 19:26:32 time: 0.8891 data_time: 0.0160 memory: 27783 loss: 0.2394 loss_text: 0.1674 loss_kernel: 0.0720 2022/11/01 18:32:05 - mmengine - INFO - Epoch(train) [126][25/63] lr: 1.0000e-04 eta: 19:26:32 time: 0.9104 data_time: 0.0230 memory: 27783 loss: 0.2307 loss_text: 0.1579 loss_kernel: 0.0728 2022/11/01 18:32:09 - mmengine - INFO - Epoch(train) [126][30/63] lr: 1.0000e-04 eta: 19:25:14 time: 0.9035 data_time: 0.0190 memory: 27783 loss: 0.2531 loss_text: 0.1738 loss_kernel: 0.0793 2022/11/01 18:32:14 - mmengine - INFO - Epoch(train) [126][35/63] lr: 1.0000e-04 eta: 19:25:14 time: 0.8750 data_time: 0.0200 memory: 27783 loss: 0.2709 loss_text: 0.1871 loss_kernel: 0.0839 2022/11/01 18:32:18 - mmengine - INFO - Epoch(train) [126][40/63] lr: 1.0000e-04 eta: 19:23:55 time: 0.8703 data_time: 0.0197 memory: 27783 loss: 0.2642 loss_text: 0.1831 loss_kernel: 0.0811 2022/11/01 18:32:23 - mmengine - INFO - Epoch(train) [126][45/63] lr: 1.0000e-04 eta: 19:23:55 time: 0.9251 data_time: 0.0200 memory: 27783 loss: 0.2384 loss_text: 0.1663 loss_kernel: 0.0721 2022/11/01 18:32:27 - mmengine - INFO - Epoch(train) [126][50/63] lr: 1.0000e-04 eta: 19:22:39 time: 0.9271 data_time: 0.0236 memory: 27783 loss: 0.2554 loss_text: 0.1777 loss_kernel: 0.0777 2022/11/01 18:32:32 - mmengine - INFO - Epoch(train) [126][55/63] lr: 1.0000e-04 eta: 19:22:39 time: 0.8784 data_time: 0.0189 memory: 27783 loss: 0.2565 loss_text: 0.1772 loss_kernel: 0.0793 2022/11/01 18:32:36 - mmengine - INFO - Epoch(train) [126][60/63] lr: 1.0000e-04 eta: 19:21:22 time: 0.9136 data_time: 0.0192 memory: 27783 loss: 0.2241 loss_text: 0.1545 loss_kernel: 0.0696 2022/11/01 18:32:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:34:19 - mmengine - INFO - Epoch(train) [127][5/63] lr: 1.0000e-04 eta: 19:21:22 time: 10.3956 data_time: 9.4863 memory: 27783 loss: 0.2106 loss_text: 0.1478 loss_kernel: 0.0628 2022/11/01 18:34:23 - mmengine - INFO - Epoch(train) [127][10/63] lr: 1.0000e-04 eta: 19:25:30 time: 10.4456 data_time: 9.5011 memory: 27783 loss: 0.2279 loss_text: 0.1594 loss_kernel: 0.0685 2022/11/01 18:34:28 - mmengine - INFO - Epoch(train) [127][15/63] lr: 1.0000e-04 eta: 19:25:30 time: 0.9227 data_time: 0.0239 memory: 27783 loss: 0.2445 loss_text: 0.1701 loss_kernel: 0.0744 2022/11/01 18:34:32 - mmengine - INFO - Epoch(train) [127][20/63] lr: 1.0000e-04 eta: 19:24:13 time: 0.9143 data_time: 0.0183 memory: 27783 loss: 0.2616 loss_text: 0.1817 loss_kernel: 0.0799 2022/11/01 18:34:38 - mmengine - INFO - Epoch(train) [127][25/63] lr: 1.0000e-04 eta: 19:24:13 time: 0.9766 data_time: 0.0281 memory: 27783 loss: 0.2109 loss_text: 0.1453 loss_kernel: 0.0656 2022/11/01 18:34:42 - mmengine - INFO - Epoch(train) [127][30/63] lr: 1.0000e-04 eta: 19:22:59 time: 0.9929 data_time: 0.0181 memory: 27783 loss: 0.1708 loss_text: 0.1178 loss_kernel: 0.0530 2022/11/01 18:34:47 - mmengine - INFO - Epoch(train) [127][35/63] lr: 1.0000e-04 eta: 19:22:59 time: 0.9284 data_time: 0.0184 memory: 27783 loss: 0.2175 loss_text: 0.1501 loss_kernel: 0.0674 2022/11/01 18:34:51 - mmengine - INFO - Epoch(train) [127][40/63] lr: 1.0000e-04 eta: 19:21:42 time: 0.8965 data_time: 0.0199 memory: 27783 loss: 0.2225 loss_text: 0.1533 loss_kernel: 0.0692 2022/11/01 18:34:56 - mmengine - INFO - Epoch(train) [127][45/63] lr: 1.0000e-04 eta: 19:21:42 time: 0.9186 data_time: 0.0180 memory: 27783 loss: 0.2128 loss_text: 0.1474 loss_kernel: 0.0654 2022/11/01 18:35:00 - mmengine - INFO - Epoch(train) [127][50/63] lr: 1.0000e-04 eta: 19:20:25 time: 0.9120 data_time: 0.0231 memory: 27783 loss: 0.2753 loss_text: 0.1923 loss_kernel: 0.0830 2022/11/01 18:35:05 - mmengine - INFO - Epoch(train) [127][55/63] lr: 1.0000e-04 eta: 19:20:25 time: 0.8878 data_time: 0.0200 memory: 27783 loss: 0.2367 loss_text: 0.1651 loss_kernel: 0.0716 2022/11/01 18:35:09 - mmengine - INFO - Epoch(train) [127][60/63] lr: 1.0000e-04 eta: 19:19:08 time: 0.8891 data_time: 0.0190 memory: 27783 loss: 0.2045 loss_text: 0.1404 loss_kernel: 0.0641 2022/11/01 18:35:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:35:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:36:51 - mmengine - INFO - Epoch(train) [128][5/63] lr: 1.0000e-04 eta: 19:19:08 time: 10.3313 data_time: 9.4600 memory: 27783 loss: 0.2412 loss_text: 0.1680 loss_kernel: 0.0732 2022/11/01 18:36:55 - mmengine - INFO - Epoch(train) [128][10/63] lr: 1.0000e-04 eta: 19:23:09 time: 10.3404 data_time: 9.4623 memory: 27783 loss: 0.2169 loss_text: 0.1498 loss_kernel: 0.0672 2022/11/01 18:37:00 - mmengine - INFO - Epoch(train) [128][15/63] lr: 1.0000e-04 eta: 19:23:09 time: 0.9400 data_time: 0.0194 memory: 27783 loss: 0.2302 loss_text: 0.1591 loss_kernel: 0.0711 2022/11/01 18:37:05 - mmengine - INFO - Epoch(train) [128][20/63] lr: 1.0000e-04 eta: 19:21:54 time: 0.9466 data_time: 0.0267 memory: 27783 loss: 0.2738 loss_text: 0.1904 loss_kernel: 0.0834 2022/11/01 18:37:09 - mmengine - INFO - Epoch(train) [128][25/63] lr: 1.0000e-04 eta: 19:21:54 time: 0.9010 data_time: 0.0239 memory: 27783 loss: 0.2499 loss_text: 0.1733 loss_kernel: 0.0766 2022/11/01 18:37:14 - mmengine - INFO - Epoch(train) [128][30/63] lr: 1.0000e-04 eta: 19:20:38 time: 0.9209 data_time: 0.0224 memory: 27783 loss: 0.2076 loss_text: 0.1426 loss_kernel: 0.0650 2022/11/01 18:37:19 - mmengine - INFO - Epoch(train) [128][35/63] lr: 1.0000e-04 eta: 19:20:38 time: 0.9153 data_time: 0.0233 memory: 27783 loss: 0.1869 loss_text: 0.1284 loss_kernel: 0.0585 2022/11/01 18:37:23 - mmengine - INFO - Epoch(train) [128][40/63] lr: 1.0000e-04 eta: 19:19:22 time: 0.9132 data_time: 0.0161 memory: 27783 loss: 0.1859 loss_text: 0.1284 loss_kernel: 0.0575 2022/11/01 18:37:28 - mmengine - INFO - Epoch(train) [128][45/63] lr: 1.0000e-04 eta: 19:19:22 time: 0.9148 data_time: 0.0197 memory: 27783 loss: 0.1755 loss_text: 0.1213 loss_kernel: 0.0542 2022/11/01 18:37:32 - mmengine - INFO - Epoch(train) [128][50/63] lr: 1.0000e-04 eta: 19:18:05 time: 0.8855 data_time: 0.0194 memory: 27783 loss: 0.2253 loss_text: 0.1555 loss_kernel: 0.0698 2022/11/01 18:37:37 - mmengine - INFO - Epoch(train) [128][55/63] lr: 1.0000e-04 eta: 19:18:05 time: 0.8991 data_time: 0.0164 memory: 27783 loss: 0.2703 loss_text: 0.1860 loss_kernel: 0.0843 2022/11/01 18:37:41 - mmengine - INFO - Epoch(train) [128][60/63] lr: 1.0000e-04 eta: 19:16:49 time: 0.9192 data_time: 0.0200 memory: 27783 loss: 0.2292 loss_text: 0.1592 loss_kernel: 0.0700 2022/11/01 18:37:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:39:23 - mmengine - INFO - Epoch(train) [129][5/63] lr: 1.0000e-04 eta: 19:16:49 time: 10.3727 data_time: 9.4792 memory: 27783 loss: 0.1775 loss_text: 0.1226 loss_kernel: 0.0548 2022/11/01 18:39:28 - mmengine - INFO - Epoch(train) [129][10/63] lr: 1.0000e-04 eta: 19:20:52 time: 10.4479 data_time: 9.4796 memory: 27783 loss: 0.1949 loss_text: 0.1344 loss_kernel: 0.0605 2022/11/01 18:39:33 - mmengine - INFO - Epoch(train) [129][15/63] lr: 1.0000e-04 eta: 19:20:52 time: 0.9473 data_time: 0.0189 memory: 27783 loss: 0.2261 loss_text: 0.1568 loss_kernel: 0.0693 2022/11/01 18:39:37 - mmengine - INFO - Epoch(train) [129][20/63] lr: 1.0000e-04 eta: 19:19:36 time: 0.9223 data_time: 0.0246 memory: 27783 loss: 0.2322 loss_text: 0.1615 loss_kernel: 0.0707 2022/11/01 18:39:42 - mmengine - INFO - Epoch(train) [129][25/63] lr: 1.0000e-04 eta: 19:19:36 time: 0.8987 data_time: 0.0169 memory: 27783 loss: 0.2312 loss_text: 0.1608 loss_kernel: 0.0703 2022/11/01 18:39:47 - mmengine - INFO - Epoch(train) [129][30/63] lr: 1.0000e-04 eta: 19:18:20 time: 0.9099 data_time: 0.0162 memory: 27783 loss: 0.2363 loss_text: 0.1638 loss_kernel: 0.0725 2022/11/01 18:39:51 - mmengine - INFO - Epoch(train) [129][35/63] lr: 1.0000e-04 eta: 19:18:20 time: 0.9264 data_time: 0.0261 memory: 27783 loss: 0.2350 loss_text: 0.1646 loss_kernel: 0.0704 2022/11/01 18:39:56 - mmengine - INFO - Epoch(train) [129][40/63] lr: 1.0000e-04 eta: 19:17:04 time: 0.9003 data_time: 0.0160 memory: 27783 loss: 0.2443 loss_text: 0.1713 loss_kernel: 0.0730 2022/11/01 18:40:00 - mmengine - INFO - Epoch(train) [129][45/63] lr: 1.0000e-04 eta: 19:17:04 time: 0.8962 data_time: 0.0183 memory: 27783 loss: 0.2282 loss_text: 0.1590 loss_kernel: 0.0692 2022/11/01 18:40:05 - mmengine - INFO - Epoch(train) [129][50/63] lr: 1.0000e-04 eta: 19:15:49 time: 0.9303 data_time: 0.0218 memory: 27783 loss: 0.2512 loss_text: 0.1753 loss_kernel: 0.0759 2022/11/01 18:40:09 - mmengine - INFO - Epoch(train) [129][55/63] lr: 1.0000e-04 eta: 19:15:49 time: 0.9377 data_time: 0.0174 memory: 27783 loss: 0.2473 loss_text: 0.1713 loss_kernel: 0.0761 2022/11/01 18:40:14 - mmengine - INFO - Epoch(train) [129][60/63] lr: 1.0000e-04 eta: 19:14:33 time: 0.8990 data_time: 0.0206 memory: 27783 loss: 0.2341 loss_text: 0.1614 loss_kernel: 0.0727 2022/11/01 18:40:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:41:56 - mmengine - INFO - Epoch(train) [130][5/63] lr: 1.0000e-04 eta: 19:14:33 time: 10.3544 data_time: 9.5023 memory: 27783 loss: 0.2296 loss_text: 0.1587 loss_kernel: 0.0709 2022/11/01 18:42:01 - mmengine - INFO - Epoch(train) [130][10/63] lr: 1.0000e-04 eta: 19:18:33 time: 10.4494 data_time: 9.5423 memory: 27783 loss: 0.2695 loss_text: 0.1867 loss_kernel: 0.0828 2022/11/01 18:42:05 - mmengine - INFO - Epoch(train) [130][15/63] lr: 1.0000e-04 eta: 19:18:33 time: 0.9209 data_time: 0.0473 memory: 27783 loss: 0.3002 loss_text: 0.2097 loss_kernel: 0.0905 2022/11/01 18:42:10 - mmengine - INFO - Epoch(train) [130][20/63] lr: 1.0000e-04 eta: 19:17:18 time: 0.9261 data_time: 0.0445 memory: 27783 loss: 0.2611 loss_text: 0.1820 loss_kernel: 0.0791 2022/11/01 18:42:14 - mmengine - INFO - Epoch(train) [130][25/63] lr: 1.0000e-04 eta: 19:17:18 time: 0.9474 data_time: 0.0539 memory: 27783 loss: 0.2183 loss_text: 0.1511 loss_kernel: 0.0672 2022/11/01 18:42:19 - mmengine - INFO - Epoch(train) [130][30/63] lr: 1.0000e-04 eta: 19:16:02 time: 0.9003 data_time: 0.0186 memory: 27783 loss: 0.2409 loss_text: 0.1671 loss_kernel: 0.0738 2022/11/01 18:42:24 - mmengine - INFO - Epoch(train) [130][35/63] lr: 1.0000e-04 eta: 19:16:02 time: 0.9244 data_time: 0.0190 memory: 27783 loss: 0.2598 loss_text: 0.1803 loss_kernel: 0.0795 2022/11/01 18:42:28 - mmengine - INFO - Epoch(train) [130][40/63] lr: 1.0000e-04 eta: 19:14:48 time: 0.9299 data_time: 0.0182 memory: 27783 loss: 0.2243 loss_text: 0.1556 loss_kernel: 0.0686 2022/11/01 18:42:33 - mmengine - INFO - Epoch(train) [130][45/63] lr: 1.0000e-04 eta: 19:14:48 time: 0.9325 data_time: 0.0183 memory: 27783 loss: 0.1820 loss_text: 0.1258 loss_kernel: 0.0563 2022/11/01 18:42:38 - mmengine - INFO - Epoch(train) [130][50/63] lr: 1.0000e-04 eta: 19:13:33 time: 0.9340 data_time: 0.0279 memory: 27783 loss: 0.1679 loss_text: 0.1150 loss_kernel: 0.0529 2022/11/01 18:42:42 - mmengine - INFO - Epoch(train) [130][55/63] lr: 1.0000e-04 eta: 19:13:33 time: 0.9058 data_time: 0.0224 memory: 27783 loss: 0.1929 loss_text: 0.1319 loss_kernel: 0.0610 2022/11/01 18:42:47 - mmengine - INFO - Epoch(train) [130][60/63] lr: 1.0000e-04 eta: 19:12:19 time: 0.9214 data_time: 0.0143 memory: 27783 loss: 0.2168 loss_text: 0.1490 loss_kernel: 0.0678 2022/11/01 18:42:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:44:28 - mmengine - INFO - Epoch(train) [131][5/63] lr: 1.0000e-04 eta: 19:12:19 time: 10.3047 data_time: 9.4807 memory: 27783 loss: 0.2143 loss_text: 0.1488 loss_kernel: 0.0655 2022/11/01 18:44:33 - mmengine - INFO - Epoch(train) [131][10/63] lr: 1.0000e-04 eta: 19:16:13 time: 10.3519 data_time: 9.4869 memory: 27783 loss: 0.2178 loss_text: 0.1517 loss_kernel: 0.0661 2022/11/01 18:44:38 - mmengine - INFO - Epoch(train) [131][15/63] lr: 1.0000e-04 eta: 19:16:13 time: 0.9346 data_time: 0.0202 memory: 27783 loss: 0.2285 loss_text: 0.1585 loss_kernel: 0.0699 2022/11/01 18:44:42 - mmengine - INFO - Epoch(train) [131][20/63] lr: 1.0000e-04 eta: 19:14:59 time: 0.9468 data_time: 0.0196 memory: 27783 loss: 0.2251 loss_text: 0.1559 loss_kernel: 0.0691 2022/11/01 18:44:47 - mmengine - INFO - Epoch(train) [131][25/63] lr: 1.0000e-04 eta: 19:14:59 time: 0.9134 data_time: 0.0237 memory: 27783 loss: 0.1921 loss_text: 0.1324 loss_kernel: 0.0597 2022/11/01 18:44:51 - mmengine - INFO - Epoch(train) [131][30/63] lr: 1.0000e-04 eta: 19:13:44 time: 0.9101 data_time: 0.0240 memory: 27783 loss: 0.1632 loss_text: 0.1112 loss_kernel: 0.0520 2022/11/01 18:44:56 - mmengine - INFO - Epoch(train) [131][35/63] lr: 1.0000e-04 eta: 19:13:44 time: 0.9190 data_time: 0.0227 memory: 27783 loss: 0.2014 loss_text: 0.1383 loss_kernel: 0.0631 2022/11/01 18:45:00 - mmengine - INFO - Epoch(train) [131][40/63] lr: 1.0000e-04 eta: 19:12:29 time: 0.9187 data_time: 0.0209 memory: 27783 loss: 0.2193 loss_text: 0.1517 loss_kernel: 0.0676 2022/11/01 18:45:05 - mmengine - INFO - Epoch(train) [131][45/63] lr: 1.0000e-04 eta: 19:12:29 time: 0.9217 data_time: 0.0237 memory: 27783 loss: 0.2213 loss_text: 0.1532 loss_kernel: 0.0681 2022/11/01 18:45:10 - mmengine - INFO - Epoch(train) [131][50/63] lr: 1.0000e-04 eta: 19:11:16 time: 0.9464 data_time: 0.0270 memory: 27783 loss: 0.2224 loss_text: 0.1536 loss_kernel: 0.0688 2022/11/01 18:45:15 - mmengine - INFO - Epoch(train) [131][55/63] lr: 1.0000e-04 eta: 19:11:16 time: 0.9804 data_time: 0.0188 memory: 27783 loss: 0.2185 loss_text: 0.1507 loss_kernel: 0.0678 2022/11/01 18:45:20 - mmengine - INFO - Epoch(train) [131][60/63] lr: 1.0000e-04 eta: 19:10:04 time: 0.9631 data_time: 0.0197 memory: 27783 loss: 0.2123 loss_text: 0.1473 loss_kernel: 0.0651 2022/11/01 18:45:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:47:01 - mmengine - INFO - Epoch(train) [132][5/63] lr: 1.0000e-04 eta: 19:10:04 time: 10.3384 data_time: 9.4782 memory: 27783 loss: 0.2123 loss_text: 0.1471 loss_kernel: 0.0652 2022/11/01 18:47:06 - mmengine - INFO - Epoch(train) [132][10/63] lr: 1.0000e-04 eta: 19:13:57 time: 10.4154 data_time: 9.4808 memory: 27783 loss: 0.2063 loss_text: 0.1438 loss_kernel: 0.0625 2022/11/01 18:47:11 - mmengine - INFO - Epoch(train) [132][15/63] lr: 1.0000e-04 eta: 19:13:57 time: 0.9665 data_time: 0.0189 memory: 27783 loss: 0.2019 loss_text: 0.1412 loss_kernel: 0.0607 2022/11/01 18:47:16 - mmengine - INFO - Epoch(train) [132][20/63] lr: 1.0000e-04 eta: 19:12:44 time: 0.9533 data_time: 0.0236 memory: 27783 loss: 0.1813 loss_text: 0.1266 loss_kernel: 0.0548 2022/11/01 18:47:20 - mmengine - INFO - Epoch(train) [132][25/63] lr: 1.0000e-04 eta: 19:12:44 time: 0.9242 data_time: 0.0230 memory: 27783 loss: 0.1853 loss_text: 0.1280 loss_kernel: 0.0573 2022/11/01 18:47:25 - mmengine - INFO - Epoch(train) [132][30/63] lr: 1.0000e-04 eta: 19:11:30 time: 0.9249 data_time: 0.0172 memory: 27783 loss: 0.2246 loss_text: 0.1548 loss_kernel: 0.0698 2022/11/01 18:47:30 - mmengine - INFO - Epoch(train) [132][35/63] lr: 1.0000e-04 eta: 19:11:30 time: 0.9925 data_time: 0.0220 memory: 27783 loss: 0.2301 loss_text: 0.1599 loss_kernel: 0.0703 2022/11/01 18:47:35 - mmengine - INFO - Epoch(train) [132][40/63] lr: 1.0000e-04 eta: 19:10:19 time: 0.9931 data_time: 0.0201 memory: 27783 loss: 0.2345 loss_text: 0.1645 loss_kernel: 0.0700 2022/11/01 18:47:40 - mmengine - INFO - Epoch(train) [132][45/63] lr: 1.0000e-04 eta: 19:10:19 time: 0.9559 data_time: 0.0252 memory: 27783 loss: 0.2089 loss_text: 0.1453 loss_kernel: 0.0636 2022/11/01 18:47:44 - mmengine - INFO - Epoch(train) [132][50/63] lr: 1.0000e-04 eta: 19:09:05 time: 0.9269 data_time: 0.0270 memory: 27783 loss: 0.2271 loss_text: 0.1557 loss_kernel: 0.0714 2022/11/01 18:47:49 - mmengine - INFO - Epoch(train) [132][55/63] lr: 1.0000e-04 eta: 19:09:05 time: 0.9670 data_time: 0.0156 memory: 27783 loss: 0.2676 loss_text: 0.1857 loss_kernel: 0.0819 2022/11/01 18:47:54 - mmengine - INFO - Epoch(train) [132][60/63] lr: 1.0000e-04 eta: 19:07:54 time: 0.9823 data_time: 0.0161 memory: 27783 loss: 0.2597 loss_text: 0.1812 loss_kernel: 0.0785 2022/11/01 18:47:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:49:36 - mmengine - INFO - Epoch(train) [133][5/63] lr: 1.0000e-04 eta: 19:07:54 time: 10.4023 data_time: 9.4953 memory: 27783 loss: 0.2574 loss_text: 0.1780 loss_kernel: 0.0794 2022/11/01 18:49:41 - mmengine - INFO - Epoch(train) [133][10/63] lr: 1.0000e-04 eta: 19:11:46 time: 10.4468 data_time: 9.5030 memory: 27783 loss: 0.2169 loss_text: 0.1499 loss_kernel: 0.0670 2022/11/01 18:49:45 - mmengine - INFO - Epoch(train) [133][15/63] lr: 1.0000e-04 eta: 19:11:46 time: 0.9248 data_time: 0.0251 memory: 27783 loss: 0.1678 loss_text: 0.1164 loss_kernel: 0.0514 2022/11/01 18:49:50 - mmengine - INFO - Epoch(train) [133][20/63] lr: 1.0000e-04 eta: 19:10:33 time: 0.9405 data_time: 0.0292 memory: 27783 loss: 0.2050 loss_text: 0.1415 loss_kernel: 0.0636 2022/11/01 18:49:55 - mmengine - INFO - Epoch(train) [133][25/63] lr: 1.0000e-04 eta: 19:10:33 time: 0.9538 data_time: 0.0274 memory: 27783 loss: 0.2388 loss_text: 0.1663 loss_kernel: 0.0725 2022/11/01 18:50:00 - mmengine - INFO - Epoch(train) [133][30/63] lr: 1.0000e-04 eta: 19:09:19 time: 0.9339 data_time: 0.0223 memory: 27783 loss: 0.1997 loss_text: 0.1387 loss_kernel: 0.0610 2022/11/01 18:50:04 - mmengine - INFO - Epoch(train) [133][35/63] lr: 1.0000e-04 eta: 19:09:19 time: 0.9377 data_time: 0.0244 memory: 27783 loss: 0.1668 loss_text: 0.1150 loss_kernel: 0.0517 2022/11/01 18:50:09 - mmengine - INFO - Epoch(train) [133][40/63] lr: 1.0000e-04 eta: 19:08:06 time: 0.9341 data_time: 0.0215 memory: 27783 loss: 0.1819 loss_text: 0.1260 loss_kernel: 0.0559 2022/11/01 18:50:14 - mmengine - INFO - Epoch(train) [133][45/63] lr: 1.0000e-04 eta: 19:08:06 time: 0.9357 data_time: 0.0264 memory: 27783 loss: 0.2582 loss_text: 0.1777 loss_kernel: 0.0805 2022/11/01 18:50:18 - mmengine - INFO - Epoch(train) [133][50/63] lr: 1.0000e-04 eta: 19:06:54 time: 0.9548 data_time: 0.0304 memory: 27783 loss: 0.2324 loss_text: 0.1607 loss_kernel: 0.0718 2022/11/01 18:50:23 - mmengine - INFO - Epoch(train) [133][55/63] lr: 1.0000e-04 eta: 19:06:54 time: 0.9286 data_time: 0.0218 memory: 27783 loss: 0.1880 loss_text: 0.1314 loss_kernel: 0.0566 2022/11/01 18:50:28 - mmengine - INFO - Epoch(train) [133][60/63] lr: 1.0000e-04 eta: 19:05:42 time: 0.9425 data_time: 0.0189 memory: 27783 loss: 0.2101 loss_text: 0.1468 loss_kernel: 0.0633 2022/11/01 18:50:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:52:10 - mmengine - INFO - Epoch(train) [134][5/63] lr: 1.0000e-04 eta: 19:05:42 time: 10.3958 data_time: 9.4873 memory: 27783 loss: 0.2693 loss_text: 0.1868 loss_kernel: 0.0825 2022/11/01 18:52:15 - mmengine - INFO - Epoch(train) [134][10/63] lr: 1.0000e-04 eta: 19:09:32 time: 10.4810 data_time: 9.5037 memory: 27783 loss: 0.2595 loss_text: 0.1809 loss_kernel: 0.0786 2022/11/01 18:52:20 - mmengine - INFO - Epoch(train) [134][15/63] lr: 1.0000e-04 eta: 19:09:32 time: 0.9761 data_time: 0.0242 memory: 27783 loss: 0.1830 loss_text: 0.1271 loss_kernel: 0.0559 2022/11/01 18:52:24 - mmengine - INFO - Epoch(train) [134][20/63] lr: 1.0000e-04 eta: 19:08:20 time: 0.9349 data_time: 0.0213 memory: 27783 loss: 0.1463 loss_text: 0.1003 loss_kernel: 0.0461 2022/11/01 18:52:29 - mmengine - INFO - Epoch(train) [134][25/63] lr: 1.0000e-04 eta: 19:08:20 time: 0.9256 data_time: 0.0336 memory: 27783 loss: 0.2045 loss_text: 0.1417 loss_kernel: 0.0628 2022/11/01 18:52:33 - mmengine - INFO - Epoch(train) [134][30/63] lr: 1.0000e-04 eta: 19:07:06 time: 0.9081 data_time: 0.0184 memory: 27783 loss: 0.2547 loss_text: 0.1785 loss_kernel: 0.0762 2022/11/01 18:52:38 - mmengine - INFO - Epoch(train) [134][35/63] lr: 1.0000e-04 eta: 19:07:06 time: 0.9271 data_time: 0.0160 memory: 27783 loss: 0.2571 loss_text: 0.1800 loss_kernel: 0.0772 2022/11/01 18:52:43 - mmengine - INFO - Epoch(train) [134][40/63] lr: 1.0000e-04 eta: 19:05:54 time: 0.9487 data_time: 0.0188 memory: 27783 loss: 0.2511 loss_text: 0.1752 loss_kernel: 0.0759 2022/11/01 18:52:48 - mmengine - INFO - Epoch(train) [134][45/63] lr: 1.0000e-04 eta: 19:05:54 time: 0.9821 data_time: 0.0208 memory: 27783 loss: 0.2447 loss_text: 0.1715 loss_kernel: 0.0732 2022/11/01 18:52:53 - mmengine - INFO - Epoch(train) [134][50/63] lr: 1.0000e-04 eta: 19:04:43 time: 0.9700 data_time: 0.0269 memory: 27783 loss: 0.2143 loss_text: 0.1482 loss_kernel: 0.0660 2022/11/01 18:52:57 - mmengine - INFO - Epoch(train) [134][55/63] lr: 1.0000e-04 eta: 19:04:43 time: 0.9119 data_time: 0.0185 memory: 27783 loss: 0.2276 loss_text: 0.1566 loss_kernel: 0.0711 2022/11/01 18:53:02 - mmengine - INFO - Epoch(train) [134][60/63] lr: 1.0000e-04 eta: 19:03:30 time: 0.9033 data_time: 0.0171 memory: 27783 loss: 0.2458 loss_text: 0.1703 loss_kernel: 0.0756 2022/11/01 18:53:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:54:44 - mmengine - INFO - Epoch(train) [135][5/63] lr: 1.0000e-04 eta: 19:03:30 time: 10.3545 data_time: 9.4875 memory: 27783 loss: 0.2006 loss_text: 0.1388 loss_kernel: 0.0618 2022/11/01 18:54:48 - mmengine - INFO - Epoch(train) [135][10/63] lr: 1.0000e-04 eta: 19:07:15 time: 10.4080 data_time: 9.4999 memory: 27783 loss: 0.2160 loss_text: 0.1495 loss_kernel: 0.0665 2022/11/01 18:54:53 - mmengine - INFO - Epoch(train) [135][15/63] lr: 1.0000e-04 eta: 19:07:15 time: 0.9184 data_time: 0.0237 memory: 27783 loss: 0.2414 loss_text: 0.1668 loss_kernel: 0.0746 2022/11/01 18:54:57 - mmengine - INFO - Epoch(train) [135][20/63] lr: 1.0000e-04 eta: 19:06:02 time: 0.9283 data_time: 0.0287 memory: 27783 loss: 0.1999 loss_text: 0.1390 loss_kernel: 0.0608 2022/11/01 18:55:02 - mmengine - INFO - Epoch(train) [135][25/63] lr: 1.0000e-04 eta: 19:06:02 time: 0.9711 data_time: 0.0390 memory: 27783 loss: 0.1707 loss_text: 0.1173 loss_kernel: 0.0534 2022/11/01 18:55:07 - mmengine - INFO - Epoch(train) [135][30/63] lr: 1.0000e-04 eta: 19:04:53 time: 1.0000 data_time: 0.0168 memory: 27783 loss: 0.2360 loss_text: 0.1628 loss_kernel: 0.0732 2022/11/01 18:55:12 - mmengine - INFO - Epoch(train) [135][35/63] lr: 1.0000e-04 eta: 19:04:53 time: 0.9896 data_time: 0.0239 memory: 27783 loss: 0.2659 loss_text: 0.1873 loss_kernel: 0.0786 2022/11/01 18:55:17 - mmengine - INFO - Epoch(train) [135][40/63] lr: 1.0000e-04 eta: 19:03:41 time: 0.9371 data_time: 0.0243 memory: 27783 loss: 0.2753 loss_text: 0.1931 loss_kernel: 0.0822 2022/11/01 18:55:22 - mmengine - INFO - Epoch(train) [135][45/63] lr: 1.0000e-04 eta: 19:03:41 time: 0.9248 data_time: 0.0154 memory: 27783 loss: 0.2809 loss_text: 0.1937 loss_kernel: 0.0873 2022/11/01 18:55:26 - mmengine - INFO - Epoch(train) [135][50/63] lr: 1.0000e-04 eta: 19:02:28 time: 0.9282 data_time: 0.0247 memory: 27783 loss: 0.2414 loss_text: 0.1678 loss_kernel: 0.0737 2022/11/01 18:55:31 - mmengine - INFO - Epoch(train) [135][55/63] lr: 1.0000e-04 eta: 19:02:28 time: 0.8973 data_time: 0.0157 memory: 27783 loss: 0.2135 loss_text: 0.1500 loss_kernel: 0.0635 2022/11/01 18:55:35 - mmengine - INFO - Epoch(train) [135][60/63] lr: 1.0000e-04 eta: 19:01:16 time: 0.9176 data_time: 0.0140 memory: 27783 loss: 0.2018 loss_text: 0.1405 loss_kernel: 0.0613 2022/11/01 18:55:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:57:17 - mmengine - INFO - Epoch(train) [136][5/63] lr: 1.0000e-04 eta: 19:01:16 time: 10.3457 data_time: 9.4502 memory: 27783 loss: 0.1986 loss_text: 0.1367 loss_kernel: 0.0618 2022/11/01 18:57:22 - mmengine - INFO - Epoch(train) [136][10/63] lr: 1.0000e-04 eta: 19:05:00 time: 10.4266 data_time: 9.4589 memory: 27783 loss: 0.2178 loss_text: 0.1508 loss_kernel: 0.0670 2022/11/01 18:57:27 - mmengine - INFO - Epoch(train) [136][15/63] lr: 1.0000e-04 eta: 19:05:00 time: 0.9483 data_time: 0.0231 memory: 27783 loss: 0.1972 loss_text: 0.1367 loss_kernel: 0.0605 2022/11/01 18:57:31 - mmengine - INFO - Epoch(train) [136][20/63] lr: 1.0000e-04 eta: 19:03:47 time: 0.9216 data_time: 0.0239 memory: 27783 loss: 0.2087 loss_text: 0.1433 loss_kernel: 0.0654 2022/11/01 18:57:36 - mmengine - INFO - Epoch(train) [136][25/63] lr: 1.0000e-04 eta: 19:03:47 time: 0.9668 data_time: 0.0231 memory: 27783 loss: 0.2124 loss_text: 0.1468 loss_kernel: 0.0656 2022/11/01 18:57:41 - mmengine - INFO - Epoch(train) [136][30/63] lr: 1.0000e-04 eta: 19:02:37 time: 0.9714 data_time: 0.0194 memory: 27783 loss: 0.1966 loss_text: 0.1370 loss_kernel: 0.0596 2022/11/01 18:57:45 - mmengine - INFO - Epoch(train) [136][35/63] lr: 1.0000e-04 eta: 19:02:37 time: 0.9185 data_time: 0.0260 memory: 27783 loss: 0.2238 loss_text: 0.1561 loss_kernel: 0.0677 2022/11/01 18:57:50 - mmengine - INFO - Epoch(train) [136][40/63] lr: 1.0000e-04 eta: 19:01:25 time: 0.9173 data_time: 0.0231 memory: 27783 loss: 0.2551 loss_text: 0.1759 loss_kernel: 0.0792 2022/11/01 18:57:55 - mmengine - INFO - Epoch(train) [136][45/63] lr: 1.0000e-04 eta: 19:01:25 time: 0.9319 data_time: 0.0205 memory: 27783 loss: 0.2522 loss_text: 0.1731 loss_kernel: 0.0790 2022/11/01 18:57:59 - mmengine - INFO - Epoch(train) [136][50/63] lr: 1.0000e-04 eta: 19:00:13 time: 0.9343 data_time: 0.0247 memory: 27783 loss: 0.2481 loss_text: 0.1719 loss_kernel: 0.0762 2022/11/01 18:58:04 - mmengine - INFO - Epoch(train) [136][55/63] lr: 1.0000e-04 eta: 19:00:13 time: 0.9200 data_time: 0.0219 memory: 27783 loss: 0.2303 loss_text: 0.1594 loss_kernel: 0.0709 2022/11/01 18:58:08 - mmengine - INFO - Epoch(train) [136][60/63] lr: 1.0000e-04 eta: 18:59:01 time: 0.9081 data_time: 0.0212 memory: 27783 loss: 0.2140 loss_text: 0.1467 loss_kernel: 0.0673 2022/11/01 18:58:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 18:59:50 - mmengine - INFO - Epoch(train) [137][5/63] lr: 1.0000e-04 eta: 18:59:01 time: 10.3643 data_time: 9.5024 memory: 27783 loss: 0.2030 loss_text: 0.1428 loss_kernel: 0.0602 2022/11/01 18:59:55 - mmengine - INFO - Epoch(train) [137][10/63] lr: 1.0000e-04 eta: 19:02:43 time: 10.4380 data_time: 9.5190 memory: 27783 loss: 0.2270 loss_text: 0.1583 loss_kernel: 0.0687 2022/11/01 19:00:00 - mmengine - INFO - Epoch(train) [137][15/63] lr: 1.0000e-04 eta: 19:02:43 time: 0.9405 data_time: 0.0257 memory: 27783 loss: 0.2323 loss_text: 0.1598 loss_kernel: 0.0725 2022/11/01 19:00:04 - mmengine - INFO - Epoch(train) [137][20/63] lr: 1.0000e-04 eta: 19:01:30 time: 0.9124 data_time: 0.0190 memory: 27783 loss: 0.2429 loss_text: 0.1670 loss_kernel: 0.0759 2022/11/01 19:00:09 - mmengine - INFO - Epoch(train) [137][25/63] lr: 1.0000e-04 eta: 19:01:30 time: 0.9389 data_time: 0.0328 memory: 27783 loss: 0.2198 loss_text: 0.1508 loss_kernel: 0.0690 2022/11/01 19:00:14 - mmengine - INFO - Epoch(train) [137][30/63] lr: 1.0000e-04 eta: 19:00:19 time: 0.9412 data_time: 0.0197 memory: 27783 loss: 0.1808 loss_text: 0.1239 loss_kernel: 0.0570 2022/11/01 19:00:19 - mmengine - INFO - Epoch(train) [137][35/63] lr: 1.0000e-04 eta: 19:00:19 time: 0.9292 data_time: 0.0205 memory: 27783 loss: 0.1989 loss_text: 0.1375 loss_kernel: 0.0614 2022/11/01 19:00:23 - mmengine - INFO - Epoch(train) [137][40/63] lr: 1.0000e-04 eta: 18:59:08 time: 0.9276 data_time: 0.0219 memory: 27783 loss: 0.2733 loss_text: 0.1902 loss_kernel: 0.0831 2022/11/01 19:00:28 - mmengine - INFO - Epoch(train) [137][45/63] lr: 1.0000e-04 eta: 18:59:08 time: 0.9416 data_time: 0.0226 memory: 27783 loss: 0.2528 loss_text: 0.1747 loss_kernel: 0.0781 2022/11/01 19:00:33 - mmengine - INFO - Epoch(train) [137][50/63] lr: 1.0000e-04 eta: 18:57:58 time: 0.9610 data_time: 0.0316 memory: 27783 loss: 0.1996 loss_text: 0.1371 loss_kernel: 0.0625 2022/11/01 19:00:37 - mmengine - INFO - Epoch(train) [137][55/63] lr: 1.0000e-04 eta: 18:57:58 time: 0.9146 data_time: 0.0162 memory: 27783 loss: 0.2143 loss_text: 0.1492 loss_kernel: 0.0651 2022/11/01 19:00:42 - mmengine - INFO - Epoch(train) [137][60/63] lr: 1.0000e-04 eta: 18:56:45 time: 0.8869 data_time: 0.0142 memory: 27783 loss: 0.2279 loss_text: 0.1589 loss_kernel: 0.0690 2022/11/01 19:00:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:02:24 - mmengine - INFO - Epoch(train) [138][5/63] lr: 1.0000e-04 eta: 18:56:45 time: 10.4330 data_time: 9.4912 memory: 27783 loss: 0.2987 loss_text: 0.2074 loss_kernel: 0.0913 2022/11/01 19:02:29 - mmengine - INFO - Epoch(train) [138][10/63] lr: 1.0000e-04 eta: 19:00:24 time: 10.4344 data_time: 9.4992 memory: 27783 loss: 0.2607 loss_text: 0.1821 loss_kernel: 0.0785 2022/11/01 19:02:34 - mmengine - INFO - Epoch(train) [138][15/63] lr: 1.0000e-04 eta: 19:00:24 time: 0.9447 data_time: 0.0205 memory: 27783 loss: 0.2144 loss_text: 0.1496 loss_kernel: 0.0648 2022/11/01 19:02:38 - mmengine - INFO - Epoch(train) [138][20/63] lr: 1.0000e-04 eta: 18:59:13 time: 0.9317 data_time: 0.0239 memory: 27783 loss: 0.2256 loss_text: 0.1549 loss_kernel: 0.0707 2022/11/01 19:02:43 - mmengine - INFO - Epoch(train) [138][25/63] lr: 1.0000e-04 eta: 18:59:13 time: 0.9292 data_time: 0.0252 memory: 27783 loss: 0.2615 loss_text: 0.1814 loss_kernel: 0.0802 2022/11/01 19:02:48 - mmengine - INFO - Epoch(train) [138][30/63] lr: 1.0000e-04 eta: 18:58:02 time: 0.9163 data_time: 0.0180 memory: 27783 loss: 0.2525 loss_text: 0.1765 loss_kernel: 0.0760 2022/11/01 19:02:53 - mmengine - INFO - Epoch(train) [138][35/63] lr: 1.0000e-04 eta: 18:58:02 time: 0.9579 data_time: 0.0171 memory: 27783 loss: 0.1982 loss_text: 0.1374 loss_kernel: 0.0609 2022/11/01 19:02:57 - mmengine - INFO - Epoch(train) [138][40/63] lr: 1.0000e-04 eta: 18:56:52 time: 0.9830 data_time: 0.0174 memory: 27783 loss: 0.1901 loss_text: 0.1308 loss_kernel: 0.0594 2022/11/01 19:03:02 - mmengine - INFO - Epoch(train) [138][45/63] lr: 1.0000e-04 eta: 18:56:52 time: 0.9499 data_time: 0.0224 memory: 27783 loss: 0.2441 loss_text: 0.1685 loss_kernel: 0.0756 2022/11/01 19:03:07 - mmengine - INFO - Epoch(train) [138][50/63] lr: 1.0000e-04 eta: 18:55:42 time: 0.9373 data_time: 0.0286 memory: 27783 loss: 0.2512 loss_text: 0.1732 loss_kernel: 0.0780 2022/11/01 19:03:11 - mmengine - INFO - Epoch(train) [138][55/63] lr: 1.0000e-04 eta: 18:55:42 time: 0.9264 data_time: 0.0202 memory: 27783 loss: 0.2029 loss_text: 0.1400 loss_kernel: 0.0630 2022/11/01 19:03:16 - mmengine - INFO - Epoch(train) [138][60/63] lr: 1.0000e-04 eta: 18:54:31 time: 0.9093 data_time: 0.0156 memory: 27783 loss: 0.2038 loss_text: 0.1412 loss_kernel: 0.0626 2022/11/01 19:03:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:04:58 - mmengine - INFO - Epoch(train) [139][5/63] lr: 1.0000e-04 eta: 18:54:31 time: 10.4108 data_time: 9.5102 memory: 27783 loss: 0.2283 loss_text: 0.1586 loss_kernel: 0.0696 2022/11/01 19:05:03 - mmengine - INFO - Epoch(train) [139][10/63] lr: 1.0000e-04 eta: 18:58:08 time: 10.4423 data_time: 9.5219 memory: 27783 loss: 0.2358 loss_text: 0.1652 loss_kernel: 0.0705 2022/11/01 19:05:07 - mmengine - INFO - Epoch(train) [139][15/63] lr: 1.0000e-04 eta: 18:58:08 time: 0.9120 data_time: 0.0261 memory: 27783 loss: 0.2389 loss_text: 0.1649 loss_kernel: 0.0740 2022/11/01 19:05:12 - mmengine - INFO - Epoch(train) [139][20/63] lr: 1.0000e-04 eta: 18:56:56 time: 0.8985 data_time: 0.0184 memory: 27783 loss: 0.2412 loss_text: 0.1667 loss_kernel: 0.0746 2022/11/01 19:05:17 - mmengine - INFO - Epoch(train) [139][25/63] lr: 1.0000e-04 eta: 18:56:56 time: 0.9226 data_time: 0.0238 memory: 27783 loss: 0.2156 loss_text: 0.1497 loss_kernel: 0.0659 2022/11/01 19:05:21 - mmengine - INFO - Epoch(train) [139][30/63] lr: 1.0000e-04 eta: 18:55:46 time: 0.9513 data_time: 0.0200 memory: 27783 loss: 0.2486 loss_text: 0.1712 loss_kernel: 0.0774 2022/11/01 19:05:26 - mmengine - INFO - Epoch(train) [139][35/63] lr: 1.0000e-04 eta: 18:55:46 time: 0.9378 data_time: 0.0233 memory: 27783 loss: 0.2580 loss_text: 0.1774 loss_kernel: 0.0806 2022/11/01 19:05:31 - mmengine - INFO - Epoch(train) [139][40/63] lr: 1.0000e-04 eta: 18:54:35 time: 0.9093 data_time: 0.0235 memory: 27783 loss: 0.2246 loss_text: 0.1545 loss_kernel: 0.0701 2022/11/01 19:05:35 - mmengine - INFO - Epoch(train) [139][45/63] lr: 1.0000e-04 eta: 18:54:35 time: 0.9302 data_time: 0.0186 memory: 27783 loss: 0.1914 loss_text: 0.1308 loss_kernel: 0.0606 2022/11/01 19:05:40 - mmengine - INFO - Epoch(train) [139][50/63] lr: 1.0000e-04 eta: 18:53:25 time: 0.9581 data_time: 0.0231 memory: 27783 loss: 0.1797 loss_text: 0.1237 loss_kernel: 0.0561 2022/11/01 19:05:45 - mmengine - INFO - Epoch(train) [139][55/63] lr: 1.0000e-04 eta: 18:53:25 time: 0.9212 data_time: 0.0204 memory: 27783 loss: 0.1839 loss_text: 0.1280 loss_kernel: 0.0560 2022/11/01 19:05:49 - mmengine - INFO - Epoch(train) [139][60/63] lr: 1.0000e-04 eta: 18:52:14 time: 0.8977 data_time: 0.0167 memory: 27783 loss: 0.2300 loss_text: 0.1597 loss_kernel: 0.0703 2022/11/01 19:05:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:07:33 - mmengine - INFO - Epoch(train) [140][5/63] lr: 1.0000e-04 eta: 18:52:14 time: 10.5808 data_time: 9.6819 memory: 27783 loss: 0.2229 loss_text: 0.1526 loss_kernel: 0.0703 2022/11/01 19:07:38 - mmengine - INFO - Epoch(train) [140][10/63] lr: 1.0000e-04 eta: 18:55:55 time: 10.6414 data_time: 9.6951 memory: 27783 loss: 0.1993 loss_text: 0.1359 loss_kernel: 0.0634 2022/11/01 19:07:42 - mmengine - INFO - Epoch(train) [140][15/63] lr: 1.0000e-04 eta: 18:55:55 time: 0.9025 data_time: 0.0225 memory: 27783 loss: 0.2079 loss_text: 0.1434 loss_kernel: 0.0645 2022/11/01 19:07:48 - mmengine - INFO - Epoch(train) [140][20/63] lr: 1.0000e-04 eta: 18:54:47 time: 0.9838 data_time: 0.0181 memory: 27783 loss: 0.1936 loss_text: 0.1335 loss_kernel: 0.0601 2022/11/01 19:07:52 - mmengine - INFO - Epoch(train) [140][25/63] lr: 1.0000e-04 eta: 18:54:47 time: 1.0284 data_time: 0.0291 memory: 27783 loss: 0.1664 loss_text: 0.1144 loss_kernel: 0.0520 2022/11/01 19:07:57 - mmengine - INFO - Epoch(train) [140][30/63] lr: 1.0000e-04 eta: 18:53:37 time: 0.9378 data_time: 0.0190 memory: 27783 loss: 0.2387 loss_text: 0.1655 loss_kernel: 0.0732 2022/11/01 19:08:02 - mmengine - INFO - Epoch(train) [140][35/63] lr: 1.0000e-04 eta: 18:53:37 time: 0.9066 data_time: 0.0185 memory: 27783 loss: 0.2811 loss_text: 0.1947 loss_kernel: 0.0863 2022/11/01 19:08:06 - mmengine - INFO - Epoch(train) [140][40/63] lr: 1.0000e-04 eta: 18:52:26 time: 0.8965 data_time: 0.0169 memory: 27783 loss: 0.2885 loss_text: 0.1997 loss_kernel: 0.0888 2022/11/01 19:08:10 - mmengine - INFO - Epoch(train) [140][45/63] lr: 1.0000e-04 eta: 18:52:26 time: 0.8916 data_time: 0.0174 memory: 27783 loss: 0.2532 loss_text: 0.1753 loss_kernel: 0.0779 2022/11/01 19:08:15 - mmengine - INFO - Epoch(train) [140][50/63] lr: 1.0000e-04 eta: 18:51:15 time: 0.9154 data_time: 0.0300 memory: 27783 loss: 0.1932 loss_text: 0.1330 loss_kernel: 0.0602 2022/11/01 19:08:20 - mmengine - INFO - Epoch(train) [140][55/63] lr: 1.0000e-04 eta: 18:51:15 time: 0.9143 data_time: 0.0189 memory: 27783 loss: 0.2111 loss_text: 0.1452 loss_kernel: 0.0659 2022/11/01 19:08:24 - mmengine - INFO - Epoch(train) [140][60/63] lr: 1.0000e-04 eta: 18:50:05 time: 0.9047 data_time: 0.0146 memory: 27783 loss: 0.2025 loss_text: 0.1406 loss_kernel: 0.0619 2022/11/01 19:08:26 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:08:26 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/11/01 19:10:12 - mmengine - INFO - Epoch(train) [141][5/63] lr: 1.0000e-04 eta: 18:50:05 time: 10.4192 data_time: 9.5467 memory: 27783 loss: 0.2171 loss_text: 0.1493 loss_kernel: 0.0678 2022/11/01 19:10:16 - mmengine - INFO - Epoch(train) [141][10/63] lr: 1.0000e-04 eta: 18:53:38 time: 10.4729 data_time: 9.5547 memory: 27783 loss: 0.2160 loss_text: 0.1473 loss_kernel: 0.0687 2022/11/01 19:10:21 - mmengine - INFO - Epoch(train) [141][15/63] lr: 1.0000e-04 eta: 18:53:38 time: 0.9324 data_time: 0.0200 memory: 27783 loss: 0.2095 loss_text: 0.1445 loss_kernel: 0.0650 2022/11/01 19:10:26 - mmengine - INFO - Epoch(train) [141][20/63] lr: 1.0000e-04 eta: 18:52:29 time: 0.9593 data_time: 0.0285 memory: 27783 loss: 0.2015 loss_text: 0.1397 loss_kernel: 0.0618 2022/11/01 19:10:31 - mmengine - INFO - Epoch(train) [141][25/63] lr: 1.0000e-04 eta: 18:52:29 time: 0.9636 data_time: 0.0262 memory: 27783 loss: 0.1957 loss_text: 0.1349 loss_kernel: 0.0608 2022/11/01 19:10:35 - mmengine - INFO - Epoch(train) [141][30/63] lr: 1.0000e-04 eta: 18:51:20 time: 0.9595 data_time: 0.0170 memory: 27783 loss: 0.2272 loss_text: 0.1570 loss_kernel: 0.0702 2022/11/01 19:10:40 - mmengine - INFO - Epoch(train) [141][35/63] lr: 1.0000e-04 eta: 18:51:20 time: 0.9454 data_time: 0.0286 memory: 27783 loss: 0.2485 loss_text: 0.1723 loss_kernel: 0.0762 2022/11/01 19:10:45 - mmengine - INFO - Epoch(train) [141][40/63] lr: 1.0000e-04 eta: 18:50:11 time: 0.9426 data_time: 0.0222 memory: 27783 loss: 0.2214 loss_text: 0.1539 loss_kernel: 0.0675 2022/11/01 19:10:50 - mmengine - INFO - Epoch(train) [141][45/63] lr: 1.0000e-04 eta: 18:50:11 time: 0.9993 data_time: 0.0198 memory: 27783 loss: 0.2029 loss_text: 0.1408 loss_kernel: 0.0620 2022/11/01 19:10:55 - mmengine - INFO - Epoch(train) [141][50/63] lr: 1.0000e-04 eta: 18:49:03 time: 0.9762 data_time: 0.0218 memory: 27783 loss: 0.2293 loss_text: 0.1592 loss_kernel: 0.0700 2022/11/01 19:10:59 - mmengine - INFO - Epoch(train) [141][55/63] lr: 1.0000e-04 eta: 18:49:03 time: 0.9248 data_time: 0.0177 memory: 27783 loss: 0.2247 loss_text: 0.1565 loss_kernel: 0.0682 2022/11/01 19:11:04 - mmengine - INFO - Epoch(train) [141][60/63] lr: 1.0000e-04 eta: 18:47:53 time: 0.9236 data_time: 0.0258 memory: 27783 loss: 0.2212 loss_text: 0.1531 loss_kernel: 0.0681 2022/11/01 19:11:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:12:47 - mmengine - INFO - Epoch(train) [142][5/63] lr: 1.0000e-04 eta: 18:47:53 time: 10.4560 data_time: 9.5528 memory: 27783 loss: 0.2133 loss_text: 0.1475 loss_kernel: 0.0659 2022/11/01 19:12:52 - mmengine - INFO - Epoch(train) [142][10/63] lr: 1.0000e-04 eta: 18:51:26 time: 10.5199 data_time: 9.5620 memory: 27783 loss: 0.2112 loss_text: 0.1444 loss_kernel: 0.0667 2022/11/01 19:12:57 - mmengine - INFO - Epoch(train) [142][15/63] lr: 1.0000e-04 eta: 18:51:26 time: 0.9773 data_time: 0.0228 memory: 27783 loss: 0.2287 loss_text: 0.1579 loss_kernel: 0.0708 2022/11/01 19:13:01 - mmengine - INFO - Epoch(train) [142][20/63] lr: 1.0000e-04 eta: 18:50:16 time: 0.9195 data_time: 0.0168 memory: 27783 loss: 0.2190 loss_text: 0.1532 loss_kernel: 0.0658 2022/11/01 19:13:07 - mmengine - INFO - Epoch(train) [142][25/63] lr: 1.0000e-04 eta: 18:50:16 time: 1.0128 data_time: 0.0272 memory: 27783 loss: 0.2087 loss_text: 0.1446 loss_kernel: 0.0641 2022/11/01 19:13:11 - mmengine - INFO - Epoch(train) [142][30/63] lr: 1.0000e-04 eta: 18:49:10 time: 1.0157 data_time: 0.0206 memory: 27783 loss: 0.2354 loss_text: 0.1631 loss_kernel: 0.0723 2022/11/01 19:13:16 - mmengine - INFO - Epoch(train) [142][35/63] lr: 1.0000e-04 eta: 18:49:10 time: 0.9400 data_time: 0.0191 memory: 27783 loss: 0.2125 loss_text: 0.1481 loss_kernel: 0.0645 2022/11/01 19:13:20 - mmengine - INFO - Epoch(train) [142][40/63] lr: 1.0000e-04 eta: 18:48:00 time: 0.9145 data_time: 0.0197 memory: 27783 loss: 0.1860 loss_text: 0.1276 loss_kernel: 0.0584 2022/11/01 19:13:26 - mmengine - INFO - Epoch(train) [142][45/63] lr: 1.0000e-04 eta: 18:48:00 time: 0.9584 data_time: 0.0391 memory: 27783 loss: 0.2138 loss_text: 0.1470 loss_kernel: 0.0668 2022/11/01 19:13:30 - mmengine - INFO - Epoch(train) [142][50/63] lr: 1.0000e-04 eta: 18:46:53 time: 0.9879 data_time: 0.0478 memory: 27783 loss: 0.2033 loss_text: 0.1406 loss_kernel: 0.0627 2022/11/01 19:13:35 - mmengine - INFO - Epoch(train) [142][55/63] lr: 1.0000e-04 eta: 18:46:53 time: 0.9370 data_time: 0.0188 memory: 27783 loss: 0.2130 loss_text: 0.1466 loss_kernel: 0.0664 2022/11/01 19:13:40 - mmengine - INFO - Epoch(train) [142][60/63] lr: 1.0000e-04 eta: 18:45:44 time: 0.9323 data_time: 0.0150 memory: 27783 loss: 0.2356 loss_text: 0.1619 loss_kernel: 0.0737 2022/11/01 19:13:42 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:15:23 - mmengine - INFO - Epoch(train) [143][5/63] lr: 1.0000e-04 eta: 18:45:44 time: 10.4876 data_time: 9.6163 memory: 27783 loss: 0.2322 loss_text: 0.1601 loss_kernel: 0.0722 2022/11/01 19:15:28 - mmengine - INFO - Epoch(train) [143][10/63] lr: 1.0000e-04 eta: 18:49:15 time: 10.5600 data_time: 9.6307 memory: 27783 loss: 0.2093 loss_text: 0.1451 loss_kernel: 0.0643 2022/11/01 19:15:33 - mmengine - INFO - Epoch(train) [143][15/63] lr: 1.0000e-04 eta: 18:49:15 time: 0.9839 data_time: 0.0216 memory: 27783 loss: 0.2349 loss_text: 0.1643 loss_kernel: 0.0706 2022/11/01 19:15:37 - mmengine - INFO - Epoch(train) [143][20/63] lr: 1.0000e-04 eta: 18:48:06 time: 0.9397 data_time: 0.0180 memory: 27783 loss: 0.2317 loss_text: 0.1619 loss_kernel: 0.0698 2022/11/01 19:15:42 - mmengine - INFO - Epoch(train) [143][25/63] lr: 1.0000e-04 eta: 18:48:06 time: 0.9040 data_time: 0.0196 memory: 27783 loss: 0.2394 loss_text: 0.1664 loss_kernel: 0.0731 2022/11/01 19:15:47 - mmengine - INFO - Epoch(train) [143][30/63] lr: 1.0000e-04 eta: 18:46:57 time: 0.9279 data_time: 0.0195 memory: 27783 loss: 0.2343 loss_text: 0.1627 loss_kernel: 0.0716 2022/11/01 19:15:51 - mmengine - INFO - Epoch(train) [143][35/63] lr: 1.0000e-04 eta: 18:46:57 time: 0.9420 data_time: 0.0257 memory: 27783 loss: 0.1970 loss_text: 0.1354 loss_kernel: 0.0616 2022/11/01 19:15:56 - mmengine - INFO - Epoch(train) [143][40/63] lr: 1.0000e-04 eta: 18:45:48 time: 0.9201 data_time: 0.0162 memory: 27783 loss: 0.2205 loss_text: 0.1527 loss_kernel: 0.0678 2022/11/01 19:16:00 - mmengine - INFO - Epoch(train) [143][45/63] lr: 1.0000e-04 eta: 18:45:48 time: 0.9147 data_time: 0.0167 memory: 27783 loss: 0.2488 loss_text: 0.1727 loss_kernel: 0.0761 2022/11/01 19:16:05 - mmengine - INFO - Epoch(train) [143][50/63] lr: 1.0000e-04 eta: 18:44:39 time: 0.9266 data_time: 0.0321 memory: 27783 loss: 0.2387 loss_text: 0.1658 loss_kernel: 0.0729 2022/11/01 19:16:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:16:10 - mmengine - INFO - Epoch(train) [143][55/63] lr: 1.0000e-04 eta: 18:44:39 time: 0.9321 data_time: 0.0241 memory: 27783 loss: 0.2424 loss_text: 0.1696 loss_kernel: 0.0728 2022/11/01 19:16:14 - mmengine - INFO - Epoch(train) [143][60/63] lr: 1.0000e-04 eta: 18:43:31 time: 0.9287 data_time: 0.0129 memory: 27783 loss: 0.2477 loss_text: 0.1727 loss_kernel: 0.0749 2022/11/01 19:16:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:17:57 - mmengine - INFO - Epoch(train) [144][5/63] lr: 1.0000e-04 eta: 18:43:31 time: 10.4535 data_time: 9.5725 memory: 27783 loss: 0.2378 loss_text: 0.1663 loss_kernel: 0.0716 2022/11/01 19:18:02 - mmengine - INFO - Epoch(train) [144][10/63] lr: 1.0000e-04 eta: 18:46:58 time: 10.5046 data_time: 9.5869 memory: 27783 loss: 0.2178 loss_text: 0.1511 loss_kernel: 0.0668 2022/11/01 19:18:06 - mmengine - INFO - Epoch(train) [144][15/63] lr: 1.0000e-04 eta: 18:46:58 time: 0.9236 data_time: 0.0213 memory: 27783 loss: 0.1919 loss_text: 0.1320 loss_kernel: 0.0600 2022/11/01 19:18:11 - mmengine - INFO - Epoch(train) [144][20/63] lr: 1.0000e-04 eta: 18:45:50 time: 0.9271 data_time: 0.0148 memory: 27783 loss: 0.1856 loss_text: 0.1282 loss_kernel: 0.0574 2022/11/01 19:18:15 - mmengine - INFO - Epoch(train) [144][25/63] lr: 1.0000e-04 eta: 18:45:50 time: 0.9094 data_time: 0.0229 memory: 27783 loss: 0.2334 loss_text: 0.1621 loss_kernel: 0.0713 2022/11/01 19:18:20 - mmengine - INFO - Epoch(train) [144][30/63] lr: 1.0000e-04 eta: 18:44:40 time: 0.9085 data_time: 0.0205 memory: 27783 loss: 0.2348 loss_text: 0.1632 loss_kernel: 0.0716 2022/11/01 19:18:25 - mmengine - INFO - Epoch(train) [144][35/63] lr: 1.0000e-04 eta: 18:44:40 time: 0.9138 data_time: 0.0246 memory: 27783 loss: 0.1772 loss_text: 0.1231 loss_kernel: 0.0541 2022/11/01 19:18:29 - mmengine - INFO - Epoch(train) [144][40/63] lr: 1.0000e-04 eta: 18:43:31 time: 0.9140 data_time: 0.0208 memory: 27783 loss: 0.1806 loss_text: 0.1250 loss_kernel: 0.0556 2022/11/01 19:18:34 - mmengine - INFO - Epoch(train) [144][45/63] lr: 1.0000e-04 eta: 18:43:31 time: 0.9199 data_time: 0.0197 memory: 27783 loss: 0.2159 loss_text: 0.1493 loss_kernel: 0.0667 2022/11/01 19:18:38 - mmengine - INFO - Epoch(train) [144][50/63] lr: 1.0000e-04 eta: 18:42:23 time: 0.9164 data_time: 0.0288 memory: 27783 loss: 0.2383 loss_text: 0.1654 loss_kernel: 0.0729 2022/11/01 19:18:43 - mmengine - INFO - Epoch(train) [144][55/63] lr: 1.0000e-04 eta: 18:42:23 time: 0.9180 data_time: 0.0188 memory: 27783 loss: 0.2536 loss_text: 0.1766 loss_kernel: 0.0771 2022/11/01 19:18:47 - mmengine - INFO - Epoch(train) [144][60/63] lr: 1.0000e-04 eta: 18:41:14 time: 0.9091 data_time: 0.0141 memory: 27783 loss: 0.2311 loss_text: 0.1604 loss_kernel: 0.0708 2022/11/01 19:18:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:20:30 - mmengine - INFO - Epoch(train) [145][5/63] lr: 1.0000e-04 eta: 18:41:14 time: 10.3784 data_time: 9.5445 memory: 27783 loss: 0.2028 loss_text: 0.1391 loss_kernel: 0.0637 2022/11/01 19:20:34 - mmengine - INFO - Epoch(train) [145][10/63] lr: 1.0000e-04 eta: 18:44:37 time: 10.4405 data_time: 9.5576 memory: 27783 loss: 0.1849 loss_text: 0.1260 loss_kernel: 0.0589 2022/11/01 19:20:38 - mmengine - INFO - Epoch(train) [145][15/63] lr: 1.0000e-04 eta: 18:44:37 time: 0.8830 data_time: 0.0201 memory: 27783 loss: 0.2211 loss_text: 0.1520 loss_kernel: 0.0691 2022/11/01 19:20:43 - mmengine - INFO - Epoch(train) [145][20/63] lr: 1.0000e-04 eta: 18:43:27 time: 0.8867 data_time: 0.0180 memory: 27783 loss: 0.2533 loss_text: 0.1757 loss_kernel: 0.0776 2022/11/01 19:20:48 - mmengine - INFO - Epoch(train) [145][25/63] lr: 1.0000e-04 eta: 18:43:27 time: 0.9286 data_time: 0.0228 memory: 27783 loss: 0.2336 loss_text: 0.1631 loss_kernel: 0.0705 2022/11/01 19:20:52 - mmengine - INFO - Epoch(train) [145][30/63] lr: 1.0000e-04 eta: 18:42:19 time: 0.9242 data_time: 0.0184 memory: 27783 loss: 0.2364 loss_text: 0.1648 loss_kernel: 0.0717 2022/11/01 19:20:57 - mmengine - INFO - Epoch(train) [145][35/63] lr: 1.0000e-04 eta: 18:42:19 time: 0.9341 data_time: 0.0246 memory: 27783 loss: 0.2113 loss_text: 0.1457 loss_kernel: 0.0656 2022/11/01 19:21:01 - mmengine - INFO - Epoch(train) [145][40/63] lr: 1.0000e-04 eta: 18:41:11 time: 0.9184 data_time: 0.0168 memory: 27783 loss: 0.2135 loss_text: 0.1467 loss_kernel: 0.0668 2022/11/01 19:21:06 - mmengine - INFO - Epoch(train) [145][45/63] lr: 1.0000e-04 eta: 18:41:11 time: 0.9043 data_time: 0.0184 memory: 27783 loss: 0.2995 loss_text: 0.2073 loss_kernel: 0.0922 2022/11/01 19:21:11 - mmengine - INFO - Epoch(train) [145][50/63] lr: 1.0000e-04 eta: 18:40:02 time: 0.9185 data_time: 0.0294 memory: 27783 loss: 0.2838 loss_text: 0.1973 loss_kernel: 0.0865 2022/11/01 19:21:15 - mmengine - INFO - Epoch(train) [145][55/63] lr: 1.0000e-04 eta: 18:40:02 time: 0.8998 data_time: 0.0166 memory: 27783 loss: 0.2241 loss_text: 0.1563 loss_kernel: 0.0678 2022/11/01 19:21:20 - mmengine - INFO - Epoch(train) [145][60/63] lr: 1.0000e-04 eta: 18:38:54 time: 0.9115 data_time: 0.0143 memory: 27783 loss: 0.2288 loss_text: 0.1607 loss_kernel: 0.0681 2022/11/01 19:21:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:23:02 - mmengine - INFO - Epoch(train) [146][5/63] lr: 1.0000e-04 eta: 18:38:54 time: 10.3887 data_time: 9.4927 memory: 27783 loss: 0.2322 loss_text: 0.1617 loss_kernel: 0.0706 2022/11/01 19:23:07 - mmengine - INFO - Epoch(train) [146][10/63] lr: 1.0000e-04 eta: 18:42:16 time: 10.4714 data_time: 9.5062 memory: 27783 loss: 0.2630 loss_text: 0.1827 loss_kernel: 0.0803 2022/11/01 19:23:12 - mmengine - INFO - Epoch(train) [146][15/63] lr: 1.0000e-04 eta: 18:42:16 time: 0.9681 data_time: 0.0203 memory: 27783 loss: 0.2504 loss_text: 0.1740 loss_kernel: 0.0765 2022/11/01 19:23:16 - mmengine - INFO - Epoch(train) [146][20/63] lr: 1.0000e-04 eta: 18:41:08 time: 0.9186 data_time: 0.0163 memory: 27783 loss: 0.2109 loss_text: 0.1456 loss_kernel: 0.0653 2022/11/01 19:23:21 - mmengine - INFO - Epoch(train) [146][25/63] lr: 1.0000e-04 eta: 18:41:08 time: 0.9152 data_time: 0.0268 memory: 27783 loss: 0.2007 loss_text: 0.1385 loss_kernel: 0.0623 2022/11/01 19:23:25 - mmengine - INFO - Epoch(train) [146][30/63] lr: 1.0000e-04 eta: 18:40:00 time: 0.9264 data_time: 0.0170 memory: 27783 loss: 0.2286 loss_text: 0.1584 loss_kernel: 0.0702 2022/11/01 19:23:30 - mmengine - INFO - Epoch(train) [146][35/63] lr: 1.0000e-04 eta: 18:40:00 time: 0.9584 data_time: 0.0181 memory: 27783 loss: 0.2658 loss_text: 0.1841 loss_kernel: 0.0818 2022/11/01 19:23:35 - mmengine - INFO - Epoch(train) [146][40/63] lr: 1.0000e-04 eta: 18:38:53 time: 0.9442 data_time: 0.0200 memory: 27783 loss: 0.2845 loss_text: 0.1984 loss_kernel: 0.0861 2022/11/01 19:23:39 - mmengine - INFO - Epoch(train) [146][45/63] lr: 1.0000e-04 eta: 18:38:53 time: 0.9146 data_time: 0.0189 memory: 27783 loss: 0.2565 loss_text: 0.1785 loss_kernel: 0.0780 2022/11/01 19:23:44 - mmengine - INFO - Epoch(train) [146][50/63] lr: 1.0000e-04 eta: 18:37:45 time: 0.9166 data_time: 0.0301 memory: 27783 loss: 0.2594 loss_text: 0.1787 loss_kernel: 0.0807 2022/11/01 19:23:48 - mmengine - INFO - Epoch(train) [146][55/63] lr: 1.0000e-04 eta: 18:37:45 time: 0.8858 data_time: 0.0184 memory: 27783 loss: 0.2581 loss_text: 0.1777 loss_kernel: 0.0804 2022/11/01 19:23:53 - mmengine - INFO - Epoch(train) [146][60/63] lr: 1.0000e-04 eta: 18:36:36 time: 0.8848 data_time: 0.0160 memory: 27783 loss: 0.2103 loss_text: 0.1451 loss_kernel: 0.0652 2022/11/01 19:23:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:25:39 - mmengine - INFO - Epoch(train) [147][5/63] lr: 1.0000e-04 eta: 18:36:36 time: 10.7558 data_time: 9.6177 memory: 27783 loss: 0.2082 loss_text: 0.1457 loss_kernel: 0.0625 2022/11/01 19:25:46 - mmengine - INFO - Epoch(train) [147][10/63] lr: 1.0000e-04 eta: 18:40:16 time: 11.1127 data_time: 9.6425 memory: 27783 loss: 0.2396 loss_text: 0.1665 loss_kernel: 0.0731 2022/11/01 19:25:52 - mmengine - INFO - Epoch(train) [147][15/63] lr: 1.0000e-04 eta: 18:40:16 time: 1.2978 data_time: 0.0312 memory: 27783 loss: 0.2311 loss_text: 0.1625 loss_kernel: 0.0687 2022/11/01 19:25:56 - mmengine - INFO - Epoch(train) [147][20/63] lr: 1.0000e-04 eta: 18:39:11 time: 1.0109 data_time: 0.0187 memory: 27783 loss: 0.2232 loss_text: 0.1565 loss_kernel: 0.0667 2022/11/01 19:26:01 - mmengine - INFO - Epoch(train) [147][25/63] lr: 1.0000e-04 eta: 18:39:11 time: 0.9636 data_time: 0.0283 memory: 27783 loss: 0.2600 loss_text: 0.1799 loss_kernel: 0.0802 2022/11/01 19:26:06 - mmengine - INFO - Epoch(train) [147][30/63] lr: 1.0000e-04 eta: 18:38:04 time: 0.9502 data_time: 0.0159 memory: 27783 loss: 0.2774 loss_text: 0.1916 loss_kernel: 0.0858 2022/11/01 19:26:11 - mmengine - INFO - Epoch(train) [147][35/63] lr: 1.0000e-04 eta: 18:38:04 time: 0.9300 data_time: 0.0183 memory: 27783 loss: 0.2381 loss_text: 0.1656 loss_kernel: 0.0725 2022/11/01 19:26:15 - mmengine - INFO - Epoch(train) [147][40/63] lr: 1.0000e-04 eta: 18:36:57 time: 0.9347 data_time: 0.0191 memory: 27783 loss: 0.2282 loss_text: 0.1600 loss_kernel: 0.0681 2022/11/01 19:26:20 - mmengine - INFO - Epoch(train) [147][45/63] lr: 1.0000e-04 eta: 18:36:57 time: 0.9200 data_time: 0.0171 memory: 27783 loss: 0.2603 loss_text: 0.1813 loss_kernel: 0.0790 2022/11/01 19:26:25 - mmengine - INFO - Epoch(train) [147][50/63] lr: 1.0000e-04 eta: 18:35:50 time: 0.9348 data_time: 0.0265 memory: 27783 loss: 0.2542 loss_text: 0.1773 loss_kernel: 0.0769 2022/11/01 19:26:29 - mmengine - INFO - Epoch(train) [147][55/63] lr: 1.0000e-04 eta: 18:35:50 time: 0.9258 data_time: 0.0159 memory: 27783 loss: 0.2128 loss_text: 0.1487 loss_kernel: 0.0641 2022/11/01 19:26:34 - mmengine - INFO - Epoch(train) [147][60/63] lr: 1.0000e-04 eta: 18:34:43 time: 0.9287 data_time: 0.0139 memory: 27783 loss: 0.2060 loss_text: 0.1436 loss_kernel: 0.0625 2022/11/01 19:26:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:28:16 - mmengine - INFO - Epoch(train) [148][5/63] lr: 1.0000e-04 eta: 18:34:43 time: 10.3680 data_time: 9.5129 memory: 27783 loss: 0.2695 loss_text: 0.1874 loss_kernel: 0.0821 2022/11/01 19:28:20 - mmengine - INFO - Epoch(train) [148][10/63] lr: 1.0000e-04 eta: 18:37:59 time: 10.4081 data_time: 9.5241 memory: 27783 loss: 0.2054 loss_text: 0.1425 loss_kernel: 0.0629 2022/11/01 19:28:25 - mmengine - INFO - Epoch(train) [148][15/63] lr: 1.0000e-04 eta: 18:37:59 time: 0.9429 data_time: 0.0211 memory: 27783 loss: 0.1507 loss_text: 0.1055 loss_kernel: 0.0451 2022/11/01 19:28:30 - mmengine - INFO - Epoch(train) [148][20/63] lr: 1.0000e-04 eta: 18:36:53 time: 0.9679 data_time: 0.0236 memory: 27783 loss: 0.1873 loss_text: 0.1300 loss_kernel: 0.0573 2022/11/01 19:28:35 - mmengine - INFO - Epoch(train) [148][25/63] lr: 1.0000e-04 eta: 18:36:53 time: 0.9410 data_time: 0.0254 memory: 27783 loss: 0.2334 loss_text: 0.1610 loss_kernel: 0.0725 2022/11/01 19:28:40 - mmengine - INFO - Epoch(train) [148][30/63] lr: 1.0000e-04 eta: 18:35:49 time: 1.0259 data_time: 0.0241 memory: 27783 loss: 0.2272 loss_text: 0.1578 loss_kernel: 0.0694 2022/11/01 19:28:47 - mmengine - INFO - Epoch(train) [148][35/63] lr: 1.0000e-04 eta: 18:35:49 time: 1.2391 data_time: 0.0314 memory: 27783 loss: 0.2062 loss_text: 0.1437 loss_kernel: 0.0626 2022/11/01 19:28:53 - mmengine - INFO - Epoch(train) [148][40/63] lr: 1.0000e-04 eta: 18:34:53 time: 1.3026 data_time: 0.0250 memory: 27783 loss: 0.2329 loss_text: 0.1624 loss_kernel: 0.0705 2022/11/01 19:29:00 - mmengine - INFO - Epoch(train) [148][45/63] lr: 1.0000e-04 eta: 18:34:53 time: 1.2527 data_time: 0.0289 memory: 27783 loss: 0.2448 loss_text: 0.1699 loss_kernel: 0.0749 2022/11/01 19:29:04 - mmengine - INFO - Epoch(train) [148][50/63] lr: 1.0000e-04 eta: 18:33:51 time: 1.0753 data_time: 0.0297 memory: 27783 loss: 0.1998 loss_text: 0.1371 loss_kernel: 0.0627 2022/11/01 19:29:08 - mmengine - INFO - Epoch(train) [148][55/63] lr: 1.0000e-04 eta: 18:33:51 time: 0.8914 data_time: 0.0177 memory: 27783 loss: 0.1839 loss_text: 0.1255 loss_kernel: 0.0585 2022/11/01 19:29:13 - mmengine - INFO - Epoch(train) [148][60/63] lr: 1.0000e-04 eta: 18:32:44 time: 0.9184 data_time: 0.0157 memory: 27783 loss: 0.2158 loss_text: 0.1488 loss_kernel: 0.0670 2022/11/01 19:29:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:30:55 - mmengine - INFO - Epoch(train) [149][5/63] lr: 1.0000e-04 eta: 18:32:44 time: 10.3963 data_time: 9.5402 memory: 27783 loss: 0.2286 loss_text: 0.1570 loss_kernel: 0.0716 2022/11/01 19:31:00 - mmengine - INFO - Epoch(train) [149][10/63] lr: 1.0000e-04 eta: 18:36:00 time: 10.4875 data_time: 9.5629 memory: 27783 loss: 0.2599 loss_text: 0.1791 loss_kernel: 0.0807 2022/11/01 19:31:05 - mmengine - INFO - Epoch(train) [149][15/63] lr: 1.0000e-04 eta: 18:36:00 time: 0.9654 data_time: 0.0318 memory: 27783 loss: 0.2456 loss_text: 0.1719 loss_kernel: 0.0737 2022/11/01 19:31:10 - mmengine - INFO - Epoch(train) [149][20/63] lr: 1.0000e-04 eta: 18:34:55 time: 0.9799 data_time: 0.0217 memory: 27783 loss: 0.2131 loss_text: 0.1491 loss_kernel: 0.0640 2022/11/01 19:31:15 - mmengine - INFO - Epoch(train) [149][25/63] lr: 1.0000e-04 eta: 18:34:55 time: 0.9872 data_time: 0.0306 memory: 27783 loss: 0.2044 loss_text: 0.1413 loss_kernel: 0.0631 2022/11/01 19:31:19 - mmengine - INFO - Epoch(train) [149][30/63] lr: 1.0000e-04 eta: 18:33:48 time: 0.9228 data_time: 0.0166 memory: 27783 loss: 0.2111 loss_text: 0.1466 loss_kernel: 0.0645 2022/11/01 19:31:24 - mmengine - INFO - Epoch(train) [149][35/63] lr: 1.0000e-04 eta: 18:33:48 time: 0.9208 data_time: 0.0186 memory: 27783 loss: 0.2367 loss_text: 0.1655 loss_kernel: 0.0713 2022/11/01 19:31:29 - mmengine - INFO - Epoch(train) [149][40/63] lr: 1.0000e-04 eta: 18:32:42 time: 0.9336 data_time: 0.0212 memory: 27783 loss: 0.2132 loss_text: 0.1484 loss_kernel: 0.0648 2022/11/01 19:31:33 - mmengine - INFO - Epoch(train) [149][45/63] lr: 1.0000e-04 eta: 18:32:42 time: 0.9188 data_time: 0.0155 memory: 27783 loss: 0.2058 loss_text: 0.1427 loss_kernel: 0.0631 2022/11/01 19:31:38 - mmengine - INFO - Epoch(train) [149][50/63] lr: 1.0000e-04 eta: 18:31:35 time: 0.9341 data_time: 0.0266 memory: 27783 loss: 0.2430 loss_text: 0.1681 loss_kernel: 0.0749 2022/11/01 19:31:43 - mmengine - INFO - Epoch(train) [149][55/63] lr: 1.0000e-04 eta: 18:31:35 time: 0.9361 data_time: 0.0217 memory: 27783 loss: 0.2386 loss_text: 0.1652 loss_kernel: 0.0734 2022/11/01 19:31:48 - mmengine - INFO - Epoch(train) [149][60/63] lr: 1.0000e-04 eta: 18:30:30 time: 0.9764 data_time: 0.0175 memory: 27783 loss: 0.2244 loss_text: 0.1567 loss_kernel: 0.0677 2022/11/01 19:31:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:33:30 - mmengine - INFO - Epoch(train) [150][5/63] lr: 1.0000e-04 eta: 18:30:30 time: 10.4028 data_time: 9.4948 memory: 27783 loss: 0.2356 loss_text: 0.1650 loss_kernel: 0.0705 2022/11/01 19:33:35 - mmengine - INFO - Epoch(train) [150][10/63] lr: 1.0000e-04 eta: 18:33:44 time: 10.4646 data_time: 9.5143 memory: 27783 loss: 0.1841 loss_text: 0.1294 loss_kernel: 0.0547 2022/11/01 19:33:39 - mmengine - INFO - Epoch(train) [150][15/63] lr: 1.0000e-04 eta: 18:33:44 time: 0.9252 data_time: 0.0253 memory: 27783 loss: 0.1810 loss_text: 0.1283 loss_kernel: 0.0527 2022/11/01 19:33:44 - mmengine - INFO - Epoch(train) [150][20/63] lr: 1.0000e-04 eta: 18:32:37 time: 0.9167 data_time: 0.0214 memory: 27783 loss: 0.2368 loss_text: 0.1657 loss_kernel: 0.0711 2022/11/01 19:33:49 - mmengine - INFO - Epoch(train) [150][25/63] lr: 1.0000e-04 eta: 18:32:37 time: 0.9294 data_time: 0.0351 memory: 27783 loss: 0.2294 loss_text: 0.1597 loss_kernel: 0.0697 2022/11/01 19:33:54 - mmengine - INFO - Epoch(train) [150][30/63] lr: 1.0000e-04 eta: 18:31:31 time: 0.9465 data_time: 0.0199 memory: 27783 loss: 0.2208 loss_text: 0.1539 loss_kernel: 0.0669 2022/11/01 19:33:58 - mmengine - INFO - Epoch(train) [150][35/63] lr: 1.0000e-04 eta: 18:31:31 time: 0.9463 data_time: 0.0173 memory: 27783 loss: 0.2267 loss_text: 0.1576 loss_kernel: 0.0690 2022/11/01 19:34:03 - mmengine - INFO - Epoch(train) [150][40/63] lr: 1.0000e-04 eta: 18:30:25 time: 0.9192 data_time: 0.0187 memory: 27783 loss: 0.1965 loss_text: 0.1356 loss_kernel: 0.0609 2022/11/01 19:34:08 - mmengine - INFO - Epoch(train) [150][45/63] lr: 1.0000e-04 eta: 18:30:25 time: 0.9628 data_time: 0.0200 memory: 27783 loss: 0.1727 loss_text: 0.1186 loss_kernel: 0.0541 2022/11/01 19:34:13 - mmengine - INFO - Epoch(train) [150][50/63] lr: 1.0000e-04 eta: 18:29:20 time: 0.9725 data_time: 0.0284 memory: 27783 loss: 0.2046 loss_text: 0.1405 loss_kernel: 0.0641 2022/11/01 19:34:17 - mmengine - INFO - Epoch(train) [150][55/63] lr: 1.0000e-04 eta: 18:29:20 time: 0.9051 data_time: 0.0159 memory: 27783 loss: 0.2462 loss_text: 0.1695 loss_kernel: 0.0768 2022/11/01 19:34:21 - mmengine - INFO - Epoch(train) [150][60/63] lr: 1.0000e-04 eta: 18:28:13 time: 0.8865 data_time: 0.0143 memory: 27783 loss: 0.2256 loss_text: 0.1568 loss_kernel: 0.0688 2022/11/01 19:34:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:36:04 - mmengine - INFO - Epoch(train) [151][5/63] lr: 1.0000e-04 eta: 18:28:13 time: 10.4684 data_time: 9.6046 memory: 27783 loss: 0.2025 loss_text: 0.1424 loss_kernel: 0.0601 2022/11/01 19:36:09 - mmengine - INFO - Epoch(train) [151][10/63] lr: 1.0000e-04 eta: 18:31:26 time: 10.5279 data_time: 9.6189 memory: 27783 loss: 0.2080 loss_text: 0.1471 loss_kernel: 0.0609 2022/11/01 19:36:14 - mmengine - INFO - Epoch(train) [151][15/63] lr: 1.0000e-04 eta: 18:31:26 time: 0.9359 data_time: 0.0224 memory: 27783 loss: 0.1919 loss_text: 0.1319 loss_kernel: 0.0600 2022/11/01 19:36:19 - mmengine - INFO - Epoch(train) [151][20/63] lr: 1.0000e-04 eta: 18:30:21 time: 0.9455 data_time: 0.0241 memory: 27783 loss: 0.2035 loss_text: 0.1385 loss_kernel: 0.0651 2022/11/01 19:36:23 - mmengine - INFO - Epoch(train) [151][25/63] lr: 1.0000e-04 eta: 18:30:21 time: 0.9362 data_time: 0.0268 memory: 27783 loss: 0.2039 loss_text: 0.1400 loss_kernel: 0.0639 2022/11/01 19:36:28 - mmengine - INFO - Epoch(train) [151][30/63] lr: 1.0000e-04 eta: 18:29:16 time: 0.9812 data_time: 0.0209 memory: 27783 loss: 0.2083 loss_text: 0.1456 loss_kernel: 0.0628 2022/11/01 19:36:33 - mmengine - INFO - Epoch(train) [151][35/63] lr: 1.0000e-04 eta: 18:29:16 time: 0.9864 data_time: 0.0280 memory: 27783 loss: 0.2179 loss_text: 0.1531 loss_kernel: 0.0647 2022/11/01 19:36:38 - mmengine - INFO - Epoch(train) [151][40/63] lr: 1.0000e-04 eta: 18:28:10 time: 0.9213 data_time: 0.0180 memory: 27783 loss: 0.2317 loss_text: 0.1609 loss_kernel: 0.0708 2022/11/01 19:36:42 - mmengine - INFO - Epoch(train) [151][45/63] lr: 1.0000e-04 eta: 18:28:10 time: 0.9141 data_time: 0.0176 memory: 27783 loss: 0.2407 loss_text: 0.1674 loss_kernel: 0.0734 2022/11/01 19:36:47 - mmengine - INFO - Epoch(train) [151][50/63] lr: 1.0000e-04 eta: 18:27:04 time: 0.9320 data_time: 0.0274 memory: 27783 loss: 0.2249 loss_text: 0.1573 loss_kernel: 0.0676 2022/11/01 19:36:52 - mmengine - INFO - Epoch(train) [151][55/63] lr: 1.0000e-04 eta: 18:27:04 time: 0.9472 data_time: 0.0174 memory: 27783 loss: 0.2250 loss_text: 0.1573 loss_kernel: 0.0678 2022/11/01 19:36:56 - mmengine - INFO - Epoch(train) [151][60/63] lr: 1.0000e-04 eta: 18:25:59 time: 0.9510 data_time: 0.0171 memory: 27783 loss: 0.2274 loss_text: 0.1584 loss_kernel: 0.0690 2022/11/01 19:36:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:38:38 - mmengine - INFO - Epoch(train) [152][5/63] lr: 1.0000e-04 eta: 18:25:59 time: 10.3113 data_time: 9.4591 memory: 27783 loss: 0.2320 loss_text: 0.1592 loss_kernel: 0.0727 2022/11/01 19:38:43 - mmengine - INFO - Epoch(train) [152][10/63] lr: 1.0000e-04 eta: 18:29:07 time: 10.4031 data_time: 9.4718 memory: 27783 loss: 0.2321 loss_text: 0.1598 loss_kernel: 0.0723 2022/11/01 19:38:47 - mmengine - INFO - Epoch(train) [152][15/63] lr: 1.0000e-04 eta: 18:29:07 time: 0.9619 data_time: 0.0292 memory: 27783 loss: 0.2210 loss_text: 0.1548 loss_kernel: 0.0662 2022/11/01 19:38:52 - mmengine - INFO - Epoch(train) [152][20/63] lr: 1.0000e-04 eta: 18:28:01 time: 0.9284 data_time: 0.0314 memory: 27783 loss: 0.2383 loss_text: 0.1678 loss_kernel: 0.0705 2022/11/01 19:38:56 - mmengine - INFO - Epoch(train) [152][25/63] lr: 1.0000e-04 eta: 18:28:01 time: 0.9039 data_time: 0.0246 memory: 27783 loss: 0.2094 loss_text: 0.1455 loss_kernel: 0.0639 2022/11/01 19:39:01 - mmengine - INFO - Epoch(train) [152][30/63] lr: 1.0000e-04 eta: 18:26:55 time: 0.8914 data_time: 0.0168 memory: 27783 loss: 0.2111 loss_text: 0.1463 loss_kernel: 0.0648 2022/11/01 19:39:06 - mmengine - INFO - Epoch(train) [152][35/63] lr: 1.0000e-04 eta: 18:26:55 time: 0.9180 data_time: 0.0285 memory: 27783 loss: 0.2176 loss_text: 0.1499 loss_kernel: 0.0677 2022/11/01 19:39:10 - mmengine - INFO - Epoch(train) [152][40/63] lr: 1.0000e-04 eta: 18:25:49 time: 0.9175 data_time: 0.0234 memory: 27783 loss: 0.2327 loss_text: 0.1590 loss_kernel: 0.0737 2022/11/01 19:39:15 - mmengine - INFO - Epoch(train) [152][45/63] lr: 1.0000e-04 eta: 18:25:49 time: 0.8940 data_time: 0.0186 memory: 27783 loss: 0.2590 loss_text: 0.1782 loss_kernel: 0.0808 2022/11/01 19:39:19 - mmengine - INFO - Epoch(train) [152][50/63] lr: 1.0000e-04 eta: 18:24:43 time: 0.9252 data_time: 0.0239 memory: 27783 loss: 0.2693 loss_text: 0.1869 loss_kernel: 0.0824 2022/11/01 19:39:24 - mmengine - INFO - Epoch(train) [152][55/63] lr: 1.0000e-04 eta: 18:24:43 time: 0.9156 data_time: 0.0174 memory: 27783 loss: 0.2583 loss_text: 0.1806 loss_kernel: 0.0777 2022/11/01 19:39:28 - mmengine - INFO - Epoch(train) [152][60/63] lr: 1.0000e-04 eta: 18:23:37 time: 0.8835 data_time: 0.0164 memory: 27783 loss: 0.2290 loss_text: 0.1594 loss_kernel: 0.0696 2022/11/01 19:39:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:41:11 - mmengine - INFO - Epoch(train) [153][5/63] lr: 1.0000e-04 eta: 18:23:37 time: 10.4219 data_time: 9.5768 memory: 27783 loss: 0.2097 loss_text: 0.1447 loss_kernel: 0.0650 2022/11/01 19:41:15 - mmengine - INFO - Epoch(train) [153][10/63] lr: 1.0000e-04 eta: 18:26:45 time: 10.4902 data_time: 9.5877 memory: 27783 loss: 0.2199 loss_text: 0.1526 loss_kernel: 0.0673 2022/11/01 19:41:20 - mmengine - INFO - Epoch(train) [153][15/63] lr: 1.0000e-04 eta: 18:26:45 time: 0.9262 data_time: 0.0209 memory: 27783 loss: 0.1848 loss_text: 0.1278 loss_kernel: 0.0570 2022/11/01 19:41:25 - mmengine - INFO - Epoch(train) [153][20/63] lr: 1.0000e-04 eta: 18:25:40 time: 0.9369 data_time: 0.0202 memory: 27783 loss: 0.1901 loss_text: 0.1316 loss_kernel: 0.0584 2022/11/01 19:41:29 - mmengine - INFO - Epoch(train) [153][25/63] lr: 1.0000e-04 eta: 18:25:40 time: 0.9402 data_time: 0.0211 memory: 27783 loss: 0.2220 loss_text: 0.1530 loss_kernel: 0.0690 2022/11/01 19:41:34 - mmengine - INFO - Epoch(train) [153][30/63] lr: 1.0000e-04 eta: 18:24:34 time: 0.9195 data_time: 0.0200 memory: 27783 loss: 0.2544 loss_text: 0.1763 loss_kernel: 0.0781 2022/11/01 19:41:39 - mmengine - INFO - Epoch(train) [153][35/63] lr: 1.0000e-04 eta: 18:24:34 time: 0.9082 data_time: 0.0278 memory: 27783 loss: 0.2260 loss_text: 0.1569 loss_kernel: 0.0691 2022/11/01 19:41:43 - mmengine - INFO - Epoch(train) [153][40/63] lr: 1.0000e-04 eta: 18:23:29 time: 0.9119 data_time: 0.0176 memory: 27783 loss: 0.2395 loss_text: 0.1666 loss_kernel: 0.0729 2022/11/01 19:41:48 - mmengine - INFO - Epoch(train) [153][45/63] lr: 1.0000e-04 eta: 18:23:29 time: 0.9412 data_time: 0.0238 memory: 27783 loss: 0.2452 loss_text: 0.1703 loss_kernel: 0.0749 2022/11/01 19:41:53 - mmengine - INFO - Epoch(train) [153][50/63] lr: 1.0000e-04 eta: 18:22:24 time: 0.9379 data_time: 0.0357 memory: 27783 loss: 0.2097 loss_text: 0.1451 loss_kernel: 0.0646 2022/11/01 19:41:57 - mmengine - INFO - Epoch(train) [153][55/63] lr: 1.0000e-04 eta: 18:22:24 time: 0.8914 data_time: 0.0189 memory: 27783 loss: 0.2081 loss_text: 0.1453 loss_kernel: 0.0628 2022/11/01 19:42:02 - mmengine - INFO - Epoch(train) [153][60/63] lr: 1.0000e-04 eta: 18:21:18 time: 0.9127 data_time: 0.0127 memory: 27783 loss: 0.2750 loss_text: 0.1934 loss_kernel: 0.0817 2022/11/01 19:42:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:43:44 - mmengine - INFO - Epoch(train) [154][5/63] lr: 1.0000e-04 eta: 18:21:18 time: 10.3738 data_time: 9.4733 memory: 27783 loss: 0.2515 loss_text: 0.1746 loss_kernel: 0.0769 2022/11/01 19:43:48 - mmengine - INFO - Epoch(train) [154][10/63] lr: 1.0000e-04 eta: 18:24:23 time: 10.4220 data_time: 9.4859 memory: 27783 loss: 0.2150 loss_text: 0.1481 loss_kernel: 0.0669 2022/11/01 19:43:53 - mmengine - INFO - Epoch(train) [154][15/63] lr: 1.0000e-04 eta: 18:24:23 time: 0.9294 data_time: 0.0270 memory: 27783 loss: 0.1854 loss_text: 0.1285 loss_kernel: 0.0569 2022/11/01 19:43:57 - mmengine - INFO - Epoch(train) [154][20/63] lr: 1.0000e-04 eta: 18:23:17 time: 0.9104 data_time: 0.0262 memory: 27783 loss: 0.2139 loss_text: 0.1486 loss_kernel: 0.0653 2022/11/01 19:44:02 - mmengine - INFO - Epoch(train) [154][25/63] lr: 1.0000e-04 eta: 18:23:17 time: 0.9143 data_time: 0.0241 memory: 27783 loss: 0.2441 loss_text: 0.1688 loss_kernel: 0.0754 2022/11/01 19:44:07 - mmengine - INFO - Epoch(train) [154][30/63] lr: 1.0000e-04 eta: 18:22:12 time: 0.9209 data_time: 0.0186 memory: 27783 loss: 0.2340 loss_text: 0.1625 loss_kernel: 0.0715 2022/11/01 19:44:11 - mmengine - INFO - Epoch(train) [154][35/63] lr: 1.0000e-04 eta: 18:22:12 time: 0.9430 data_time: 0.0210 memory: 27783 loss: 0.2248 loss_text: 0.1562 loss_kernel: 0.0686 2022/11/01 19:44:16 - mmengine - INFO - Epoch(train) [154][40/63] lr: 1.0000e-04 eta: 18:21:08 time: 0.9373 data_time: 0.0220 memory: 27783 loss: 0.2443 loss_text: 0.1701 loss_kernel: 0.0742 2022/11/01 19:44:21 - mmengine - INFO - Epoch(train) [154][45/63] lr: 1.0000e-04 eta: 18:21:08 time: 1.0101 data_time: 0.0264 memory: 27783 loss: 0.2419 loss_text: 0.1673 loss_kernel: 0.0745 2022/11/01 19:44:26 - mmengine - INFO - Epoch(train) [154][50/63] lr: 1.0000e-04 eta: 18:20:05 time: 1.0179 data_time: 0.0276 memory: 27783 loss: 0.2196 loss_text: 0.1532 loss_kernel: 0.0665 2022/11/01 19:44:30 - mmengine - INFO - Epoch(train) [154][55/63] lr: 1.0000e-04 eta: 18:20:05 time: 0.8936 data_time: 0.0190 memory: 27783 loss: 0.2393 loss_text: 0.1677 loss_kernel: 0.0716 2022/11/01 19:44:35 - mmengine - INFO - Epoch(train) [154][60/63] lr: 1.0000e-04 eta: 18:19:00 time: 0.8861 data_time: 0.0220 memory: 27783 loss: 0.2355 loss_text: 0.1641 loss_kernel: 0.0714 2022/11/01 19:44:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:46:18 - mmengine - INFO - Epoch(train) [155][5/63] lr: 1.0000e-04 eta: 18:19:00 time: 10.4382 data_time: 9.5517 memory: 27783 loss: 0.1765 loss_text: 0.1200 loss_kernel: 0.0565 2022/11/01 19:46:22 - mmengine - INFO - Epoch(train) [155][10/63] lr: 1.0000e-04 eta: 18:22:04 time: 10.4942 data_time: 9.5598 memory: 27783 loss: 0.1949 loss_text: 0.1330 loss_kernel: 0.0620 2022/11/01 19:46:27 - mmengine - INFO - Epoch(train) [155][15/63] lr: 1.0000e-04 eta: 18:22:04 time: 0.9197 data_time: 0.0225 memory: 27783 loss: 0.2203 loss_text: 0.1522 loss_kernel: 0.0681 2022/11/01 19:46:32 - mmengine - INFO - Epoch(train) [155][20/63] lr: 1.0000e-04 eta: 18:21:00 time: 0.9343 data_time: 0.0193 memory: 27783 loss: 0.2298 loss_text: 0.1600 loss_kernel: 0.0698 2022/11/01 19:46:36 - mmengine - INFO - Epoch(train) [155][25/63] lr: 1.0000e-04 eta: 18:21:00 time: 0.9445 data_time: 0.0282 memory: 27783 loss: 0.2389 loss_text: 0.1685 loss_kernel: 0.0704 2022/11/01 19:46:41 - mmengine - INFO - Epoch(train) [155][30/63] lr: 1.0000e-04 eta: 18:19:56 time: 0.9395 data_time: 0.0240 memory: 27783 loss: 0.2319 loss_text: 0.1633 loss_kernel: 0.0686 2022/11/01 19:46:45 - mmengine - INFO - Epoch(train) [155][35/63] lr: 1.0000e-04 eta: 18:19:56 time: 0.9171 data_time: 0.0173 memory: 27783 loss: 0.2241 loss_text: 0.1556 loss_kernel: 0.0686 2022/11/01 19:46:50 - mmengine - INFO - Epoch(train) [155][40/63] lr: 1.0000e-04 eta: 18:18:50 time: 0.8932 data_time: 0.0171 memory: 27783 loss: 0.2600 loss_text: 0.1810 loss_kernel: 0.0790 2022/11/01 19:46:54 - mmengine - INFO - Epoch(train) [155][45/63] lr: 1.0000e-04 eta: 18:18:50 time: 0.8912 data_time: 0.0199 memory: 27783 loss: 0.2519 loss_text: 0.1764 loss_kernel: 0.0755 2022/11/01 19:46:59 - mmengine - INFO - Epoch(train) [155][50/63] lr: 1.0000e-04 eta: 18:17:45 time: 0.8907 data_time: 0.0251 memory: 27783 loss: 0.2687 loss_text: 0.1872 loss_kernel: 0.0816 2022/11/01 19:47:04 - mmengine - INFO - Epoch(train) [155][55/63] lr: 1.0000e-04 eta: 18:17:45 time: 0.9510 data_time: 0.0193 memory: 27783 loss: 0.2391 loss_text: 0.1647 loss_kernel: 0.0744 2022/11/01 19:47:08 - mmengine - INFO - Epoch(train) [155][60/63] lr: 1.0000e-04 eta: 18:16:41 time: 0.9654 data_time: 0.0212 memory: 27783 loss: 0.2159 loss_text: 0.1490 loss_kernel: 0.0669 2022/11/01 19:47:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:48:51 - mmengine - INFO - Epoch(train) [156][5/63] lr: 1.0000e-04 eta: 18:16:41 time: 10.4165 data_time: 9.4656 memory: 27783 loss: 0.1852 loss_text: 0.1272 loss_kernel: 0.0580 2022/11/01 19:48:56 - mmengine - INFO - Epoch(train) [156][10/63] lr: 1.0000e-04 eta: 18:19:44 time: 10.4881 data_time: 9.4751 memory: 27783 loss: 0.1841 loss_text: 0.1259 loss_kernel: 0.0582 2022/11/01 19:49:00 - mmengine - INFO - Epoch(train) [156][15/63] lr: 1.0000e-04 eta: 18:19:44 time: 0.9372 data_time: 0.0186 memory: 27783 loss: 0.2591 loss_text: 0.1782 loss_kernel: 0.0809 2022/11/01 19:49:05 - mmengine - INFO - Epoch(train) [156][20/63] lr: 1.0000e-04 eta: 18:18:40 time: 0.9388 data_time: 0.0214 memory: 27783 loss: 0.2673 loss_text: 0.1839 loss_kernel: 0.0834 2022/11/01 19:49:10 - mmengine - INFO - Epoch(train) [156][25/63] lr: 1.0000e-04 eta: 18:18:40 time: 0.9521 data_time: 0.0231 memory: 27783 loss: 0.1913 loss_text: 0.1315 loss_kernel: 0.0598 2022/11/01 19:49:15 - mmengine - INFO - Epoch(train) [156][30/63] lr: 1.0000e-04 eta: 18:17:36 time: 0.9378 data_time: 0.0178 memory: 27783 loss: 0.2091 loss_text: 0.1444 loss_kernel: 0.0647 2022/11/01 19:49:19 - mmengine - INFO - Epoch(train) [156][35/63] lr: 1.0000e-04 eta: 18:17:36 time: 0.9371 data_time: 0.0328 memory: 27783 loss: 0.2524 loss_text: 0.1752 loss_kernel: 0.0772 2022/11/01 19:49:24 - mmengine - INFO - Epoch(train) [156][40/63] lr: 1.0000e-04 eta: 18:16:34 time: 0.9880 data_time: 0.0224 memory: 27783 loss: 0.2217 loss_text: 0.1543 loss_kernel: 0.0675 2022/11/01 19:49:29 - mmengine - INFO - Epoch(train) [156][45/63] lr: 1.0000e-04 eta: 18:16:34 time: 0.9956 data_time: 0.0199 memory: 27783 loss: 0.2145 loss_text: 0.1489 loss_kernel: 0.0656 2022/11/01 19:49:34 - mmengine - INFO - Epoch(train) [156][50/63] lr: 1.0000e-04 eta: 18:15:30 time: 0.9268 data_time: 0.0283 memory: 27783 loss: 0.2266 loss_text: 0.1575 loss_kernel: 0.0690 2022/11/01 19:49:38 - mmengine - INFO - Epoch(train) [156][55/63] lr: 1.0000e-04 eta: 18:15:30 time: 0.9020 data_time: 0.0151 memory: 27783 loss: 0.2093 loss_text: 0.1452 loss_kernel: 0.0641 2022/11/01 19:49:43 - mmengine - INFO - Epoch(train) [156][60/63] lr: 1.0000e-04 eta: 18:14:25 time: 0.8985 data_time: 0.0131 memory: 27783 loss: 0.1852 loss_text: 0.1282 loss_kernel: 0.0570 2022/11/01 19:49:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:51:25 - mmengine - INFO - Epoch(train) [157][5/63] lr: 1.0000e-04 eta: 18:14:25 time: 10.3848 data_time: 9.5438 memory: 27783 loss: 0.1715 loss_text: 0.1187 loss_kernel: 0.0528 2022/11/01 19:51:30 - mmengine - INFO - Epoch(train) [157][10/63] lr: 1.0000e-04 eta: 18:17:25 time: 10.4602 data_time: 9.5558 memory: 27783 loss: 0.1959 loss_text: 0.1354 loss_kernel: 0.0605 2022/11/01 19:51:34 - mmengine - INFO - Epoch(train) [157][15/63] lr: 1.0000e-04 eta: 18:17:25 time: 0.9408 data_time: 0.0212 memory: 27783 loss: 0.2260 loss_text: 0.1567 loss_kernel: 0.0693 2022/11/01 19:51:39 - mmengine - INFO - Epoch(train) [157][20/63] lr: 1.0000e-04 eta: 18:16:21 time: 0.9443 data_time: 0.0163 memory: 27783 loss: 0.2327 loss_text: 0.1619 loss_kernel: 0.0708 2022/11/01 19:51:44 - mmengine - INFO - Epoch(train) [157][25/63] lr: 1.0000e-04 eta: 18:16:21 time: 0.9592 data_time: 0.0266 memory: 27783 loss: 0.2226 loss_text: 0.1534 loss_kernel: 0.0692 2022/11/01 19:51:48 - mmengine - INFO - Epoch(train) [157][30/63] lr: 1.0000e-04 eta: 18:15:18 time: 0.9373 data_time: 0.0194 memory: 27783 loss: 0.2265 loss_text: 0.1557 loss_kernel: 0.0708 2022/11/01 19:51:53 - mmengine - INFO - Epoch(train) [157][35/63] lr: 1.0000e-04 eta: 18:15:18 time: 0.9339 data_time: 0.0158 memory: 27783 loss: 0.2248 loss_text: 0.1576 loss_kernel: 0.0671 2022/11/01 19:51:58 - mmengine - INFO - Epoch(train) [157][40/63] lr: 1.0000e-04 eta: 18:14:16 time: 0.9923 data_time: 0.0287 memory: 27783 loss: 0.2464 loss_text: 0.1723 loss_kernel: 0.0741 2022/11/01 19:52:03 - mmengine - INFO - Epoch(train) [157][45/63] lr: 1.0000e-04 eta: 18:14:16 time: 0.9784 data_time: 0.0338 memory: 27783 loss: 0.2254 loss_text: 0.1548 loss_kernel: 0.0706 2022/11/01 19:52:08 - mmengine - INFO - Epoch(train) [157][50/63] lr: 1.0000e-04 eta: 18:13:12 time: 0.9215 data_time: 0.0272 memory: 27783 loss: 0.1996 loss_text: 0.1383 loss_kernel: 0.0613 2022/11/01 19:52:12 - mmengine - INFO - Epoch(train) [157][55/63] lr: 1.0000e-04 eta: 18:13:12 time: 0.8992 data_time: 0.0175 memory: 27783 loss: 0.2256 loss_text: 0.1570 loss_kernel: 0.0686 2022/11/01 19:52:17 - mmengine - INFO - Epoch(train) [157][60/63] lr: 1.0000e-04 eta: 18:12:07 time: 0.8926 data_time: 0.0185 memory: 27783 loss: 0.2564 loss_text: 0.1787 loss_kernel: 0.0777 2022/11/01 19:52:19 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:53:58 - mmengine - INFO - Epoch(train) [158][5/63] lr: 1.0000e-04 eta: 18:12:07 time: 10.3244 data_time: 9.4542 memory: 27783 loss: 0.2696 loss_text: 0.1874 loss_kernel: 0.0822 2022/11/01 19:54:03 - mmengine - INFO - Epoch(train) [158][10/63] lr: 1.0000e-04 eta: 18:15:04 time: 10.4146 data_time: 9.4712 memory: 27783 loss: 0.2381 loss_text: 0.1646 loss_kernel: 0.0735 2022/11/01 19:54:08 - mmengine - INFO - Epoch(train) [158][15/63] lr: 1.0000e-04 eta: 18:15:04 time: 0.9934 data_time: 0.0262 memory: 27783 loss: 0.1997 loss_text: 0.1369 loss_kernel: 0.0628 2022/11/01 19:54:13 - mmengine - INFO - Epoch(train) [158][20/63] lr: 1.0000e-04 eta: 18:14:00 time: 0.9198 data_time: 0.0161 memory: 27783 loss: 0.2146 loss_text: 0.1486 loss_kernel: 0.0660 2022/11/01 19:54:17 - mmengine - INFO - Epoch(train) [158][25/63] lr: 1.0000e-04 eta: 18:14:00 time: 0.9009 data_time: 0.0208 memory: 27783 loss: 0.2099 loss_text: 0.1453 loss_kernel: 0.0646 2022/11/01 19:54:22 - mmengine - INFO - Epoch(train) [158][30/63] lr: 1.0000e-04 eta: 18:12:57 time: 0.9468 data_time: 0.0180 memory: 27783 loss: 0.2291 loss_text: 0.1572 loss_kernel: 0.0719 2022/11/01 19:54:27 - mmengine - INFO - Epoch(train) [158][35/63] lr: 1.0000e-04 eta: 18:12:57 time: 0.9759 data_time: 0.0249 memory: 27783 loss: 0.2147 loss_text: 0.1486 loss_kernel: 0.0661 2022/11/01 19:54:31 - mmengine - INFO - Epoch(train) [158][40/63] lr: 1.0000e-04 eta: 18:11:54 time: 0.9338 data_time: 0.0200 memory: 27783 loss: 0.2085 loss_text: 0.1454 loss_kernel: 0.0631 2022/11/01 19:54:36 - mmengine - INFO - Epoch(train) [158][45/63] lr: 1.0000e-04 eta: 18:11:54 time: 0.9106 data_time: 0.0168 memory: 27783 loss: 0.2482 loss_text: 0.1722 loss_kernel: 0.0760 2022/11/01 19:54:41 - mmengine - INFO - Epoch(train) [158][50/63] lr: 1.0000e-04 eta: 18:10:51 time: 0.9615 data_time: 0.0270 memory: 27783 loss: 0.2358 loss_text: 0.1642 loss_kernel: 0.0716 2022/11/01 19:54:46 - mmengine - INFO - Epoch(train) [158][55/63] lr: 1.0000e-04 eta: 18:10:51 time: 0.9540 data_time: 0.0190 memory: 27783 loss: 0.2226 loss_text: 0.1546 loss_kernel: 0.0680 2022/11/01 19:54:50 - mmengine - INFO - Epoch(train) [158][60/63] lr: 1.0000e-04 eta: 18:09:47 time: 0.9075 data_time: 0.0161 memory: 27783 loss: 0.2220 loss_text: 0.1533 loss_kernel: 0.0687 2022/11/01 19:54:52 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:56:32 - mmengine - INFO - Epoch(train) [159][5/63] lr: 1.0000e-04 eta: 18:09:47 time: 10.3765 data_time: 9.5347 memory: 27783 loss: 0.2584 loss_text: 0.1792 loss_kernel: 0.0792 2022/11/01 19:56:37 - mmengine - INFO - Epoch(train) [159][10/63] lr: 1.0000e-04 eta: 18:12:43 time: 10.4428 data_time: 9.5422 memory: 27783 loss: 0.2341 loss_text: 0.1622 loss_kernel: 0.0719 2022/11/01 19:56:41 - mmengine - INFO - Epoch(train) [159][15/63] lr: 1.0000e-04 eta: 18:12:43 time: 0.9257 data_time: 0.0195 memory: 27783 loss: 0.2028 loss_text: 0.1418 loss_kernel: 0.0611 2022/11/01 19:56:46 - mmengine - INFO - Epoch(train) [159][20/63] lr: 1.0000e-04 eta: 18:11:40 time: 0.9182 data_time: 0.0242 memory: 27783 loss: 0.2333 loss_text: 0.1631 loss_kernel: 0.0702 2022/11/01 19:56:51 - mmengine - INFO - Epoch(train) [159][25/63] lr: 1.0000e-04 eta: 18:11:40 time: 0.9501 data_time: 0.0245 memory: 27783 loss: 0.2720 loss_text: 0.1887 loss_kernel: 0.0833 2022/11/01 19:56:56 - mmengine - INFO - Epoch(train) [159][30/63] lr: 1.0000e-04 eta: 18:10:37 time: 0.9675 data_time: 0.0188 memory: 27783 loss: 0.2856 loss_text: 0.1971 loss_kernel: 0.0885 2022/11/01 19:57:00 - mmengine - INFO - Epoch(train) [159][35/63] lr: 1.0000e-04 eta: 18:10:37 time: 0.9331 data_time: 0.0237 memory: 27783 loss: 0.2356 loss_text: 0.1640 loss_kernel: 0.0717 2022/11/01 19:57:05 - mmengine - INFO - Epoch(train) [159][40/63] lr: 1.0000e-04 eta: 18:09:34 time: 0.9074 data_time: 0.0180 memory: 27783 loss: 0.2025 loss_text: 0.1406 loss_kernel: 0.0619 2022/11/01 19:57:09 - mmengine - INFO - Epoch(train) [159][45/63] lr: 1.0000e-04 eta: 18:09:34 time: 0.9110 data_time: 0.0177 memory: 27783 loss: 0.2352 loss_text: 0.1625 loss_kernel: 0.0727 2022/11/01 19:57:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:57:14 - mmengine - INFO - Epoch(train) [159][50/63] lr: 1.0000e-04 eta: 18:08:30 time: 0.9169 data_time: 0.0213 memory: 27783 loss: 0.2158 loss_text: 0.1487 loss_kernel: 0.0671 2022/11/01 19:57:18 - mmengine - INFO - Epoch(train) [159][55/63] lr: 1.0000e-04 eta: 18:08:30 time: 0.9031 data_time: 0.0161 memory: 27783 loss: 0.1938 loss_text: 0.1326 loss_kernel: 0.0612 2022/11/01 19:57:23 - mmengine - INFO - Epoch(train) [159][60/63] lr: 1.0000e-04 eta: 18:07:27 time: 0.8998 data_time: 0.0195 memory: 27783 loss: 0.2217 loss_text: 0.1535 loss_kernel: 0.0682 2022/11/01 19:57:26 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:59:05 - mmengine - INFO - Epoch(train) [160][5/63] lr: 1.0000e-04 eta: 18:07:27 time: 10.3785 data_time: 9.4922 memory: 27783 loss: 0.2418 loss_text: 0.1685 loss_kernel: 0.0734 2022/11/01 19:59:10 - mmengine - INFO - Epoch(train) [160][10/63] lr: 1.0000e-04 eta: 18:10:20 time: 10.4259 data_time: 9.5043 memory: 27783 loss: 0.1905 loss_text: 0.1306 loss_kernel: 0.0598 2022/11/01 19:59:15 - mmengine - INFO - Epoch(train) [160][15/63] lr: 1.0000e-04 eta: 18:10:20 time: 0.9820 data_time: 0.0234 memory: 27783 loss: 0.1946 loss_text: 0.1339 loss_kernel: 0.0607 2022/11/01 19:59:20 - mmengine - INFO - Epoch(train) [160][20/63] lr: 1.0000e-04 eta: 18:09:19 time: 0.9900 data_time: 0.0276 memory: 27783 loss: 0.2144 loss_text: 0.1482 loss_kernel: 0.0663 2022/11/01 19:59:25 - mmengine - INFO - Epoch(train) [160][25/63] lr: 1.0000e-04 eta: 18:09:19 time: 0.9553 data_time: 0.0353 memory: 27783 loss: 0.2156 loss_text: 0.1499 loss_kernel: 0.0657 2022/11/01 19:59:29 - mmengine - INFO - Epoch(train) [160][30/63] lr: 1.0000e-04 eta: 18:08:15 time: 0.8914 data_time: 0.0156 memory: 27783 loss: 0.2931 loss_text: 0.2046 loss_kernel: 0.0885 2022/11/01 19:59:33 - mmengine - INFO - Epoch(train) [160][35/63] lr: 1.0000e-04 eta: 18:08:15 time: 0.8804 data_time: 0.0153 memory: 27783 loss: 0.2858 loss_text: 0.2004 loss_kernel: 0.0854 2022/11/01 19:59:38 - mmengine - INFO - Epoch(train) [160][40/63] lr: 1.0000e-04 eta: 18:07:11 time: 0.8945 data_time: 0.0166 memory: 27783 loss: 0.2100 loss_text: 0.1476 loss_kernel: 0.0624 2022/11/01 19:59:42 - mmengine - INFO - Epoch(train) [160][45/63] lr: 1.0000e-04 eta: 18:07:11 time: 0.8968 data_time: 0.0164 memory: 27783 loss: 0.2408 loss_text: 0.1678 loss_kernel: 0.0730 2022/11/01 19:59:47 - mmengine - INFO - Epoch(train) [160][50/63] lr: 1.0000e-04 eta: 18:06:09 time: 0.9547 data_time: 0.0312 memory: 27783 loss: 0.2111 loss_text: 0.1468 loss_kernel: 0.0643 2022/11/01 19:59:52 - mmengine - INFO - Epoch(train) [160][55/63] lr: 1.0000e-04 eta: 18:06:09 time: 0.9723 data_time: 0.0245 memory: 27783 loss: 0.1766 loss_text: 0.1227 loss_kernel: 0.0538 2022/11/01 19:59:57 - mmengine - INFO - Epoch(train) [160][60/63] lr: 1.0000e-04 eta: 18:05:08 time: 0.9584 data_time: 0.0173 memory: 27783 loss: 0.2154 loss_text: 0.1486 loss_kernel: 0.0668 2022/11/01 19:59:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 19:59:59 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/11/01 20:00:37 - mmengine - INFO - Epoch(val) [160][5/500] eta: 18:05:08 time: 3.2490 data_time: 3.1769 memory: 27783 2022/11/01 20:00:38 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:26:34 time: 3.2542 data_time: 3.1830 memory: 3208 2022/11/01 20:00:38 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:26:34 time: 0.0758 data_time: 0.0091 memory: 3208 2022/11/01 20:00:38 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:00:34 time: 0.0719 data_time: 0.0027 memory: 3208 2022/11/01 20:00:39 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:00:34 time: 0.0714 data_time: 0.0027 memory: 3208 2022/11/01 20:00:39 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:00:34 time: 0.0727 data_time: 0.0025 memory: 3208 2022/11/01 20:00:40 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:00:34 time: 0.0751 data_time: 0.0024 memory: 3208 2022/11/01 20:00:40 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:00:35 time: 0.0770 data_time: 0.0024 memory: 3208 2022/11/01 20:00:40 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:00:35 time: 0.0770 data_time: 0.0024 memory: 3208 2022/11/01 20:00:41 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:00:32 time: 0.0723 data_time: 0.0024 memory: 3208 2022/11/01 20:00:41 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:00:32 time: 0.0725 data_time: 0.0024 memory: 3208 2022/11/01 20:00:41 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:00:32 time: 0.0729 data_time: 0.0025 memory: 3208 2022/11/01 20:00:42 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:00:32 time: 0.0750 data_time: 0.0026 memory: 3208 2022/11/01 20:00:42 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:00:33 time: 0.0783 data_time: 0.0028 memory: 3208 2022/11/01 20:00:43 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:00:33 time: 0.0759 data_time: 0.0032 memory: 3208 2022/11/01 20:00:43 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:00:29 time: 0.0713 data_time: 0.0031 memory: 3208 2022/11/01 20:00:43 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:00:29 time: 0.0702 data_time: 0.0029 memory: 3208 2022/11/01 20:00:44 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:00:32 time: 0.0789 data_time: 0.0052 memory: 3208 2022/11/01 20:00:44 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:00:32 time: 0.0790 data_time: 0.0048 memory: 3208 2022/11/01 20:00:44 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:00:28 time: 0.0712 data_time: 0.0024 memory: 3208 2022/11/01 20:00:45 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:00:28 time: 0.0722 data_time: 0.0025 memory: 3208 2022/11/01 20:00:45 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:00:27 time: 0.0709 data_time: 0.0026 memory: 3208 2022/11/01 20:00:46 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:00:27 time: 0.0731 data_time: 0.0026 memory: 3208 2022/11/01 20:00:46 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:00:28 time: 0.0750 data_time: 0.0025 memory: 3208 2022/11/01 20:00:46 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:00:28 time: 0.0704 data_time: 0.0025 memory: 3208 2022/11/01 20:00:47 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:00:25 time: 0.0699 data_time: 0.0025 memory: 3208 2022/11/01 20:00:47 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:00:25 time: 0.0692 data_time: 0.0024 memory: 3208 2022/11/01 20:00:47 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:00:24 time: 0.0692 data_time: 0.0025 memory: 3208 2022/11/01 20:00:48 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:00:24 time: 0.0748 data_time: 0.0025 memory: 3208 2022/11/01 20:00:48 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:00:26 time: 0.0745 data_time: 0.0025 memory: 3208 2022/11/01 20:00:48 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:00:26 time: 0.0747 data_time: 0.0024 memory: 3208 2022/11/01 20:00:49 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:00:25 time: 0.0749 data_time: 0.0024 memory: 3208 2022/11/01 20:00:49 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:00:25 time: 0.0728 data_time: 0.0024 memory: 3208 2022/11/01 20:00:50 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:00:24 time: 0.0743 data_time: 0.0024 memory: 3208 2022/11/01 20:00:50 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:00:24 time: 0.0711 data_time: 0.0025 memory: 3208 2022/11/01 20:00:50 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:22 time: 0.0694 data_time: 0.0023 memory: 3208 2022/11/01 20:00:51 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:22 time: 0.0736 data_time: 0.0022 memory: 3208 2022/11/01 20:00:51 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:00:23 time: 0.0767 data_time: 0.0023 memory: 3208 2022/11/01 20:00:51 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:00:23 time: 0.0764 data_time: 0.0033 memory: 3208 2022/11/01 20:00:52 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:00:24 time: 0.0801 data_time: 0.0033 memory: 3208 2022/11/01 20:00:52 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:00:24 time: 0.0782 data_time: 0.0032 memory: 3208 2022/11/01 20:00:53 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:00:20 time: 0.0712 data_time: 0.0032 memory: 3208 2022/11/01 20:00:53 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:00:20 time: 0.0722 data_time: 0.0023 memory: 3208 2022/11/01 20:00:53 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:20 time: 0.0750 data_time: 0.0024 memory: 3208 2022/11/01 20:00:54 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:20 time: 0.0783 data_time: 0.0024 memory: 3208 2022/11/01 20:00:54 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:20 time: 0.0751 data_time: 0.0024 memory: 3208 2022/11/01 20:00:54 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:20 time: 0.0724 data_time: 0.0028 memory: 3208 2022/11/01 20:00:55 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:19 time: 0.0746 data_time: 0.0029 memory: 3208 2022/11/01 20:00:55 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:19 time: 0.0706 data_time: 0.0025 memory: 3208 2022/11/01 20:00:56 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:18 time: 0.0759 data_time: 0.0028 memory: 3208 2022/11/01 20:00:56 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:18 time: 0.0773 data_time: 0.0031 memory: 3208 2022/11/01 20:00:56 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:18 time: 0.0750 data_time: 0.0033 memory: 3208 2022/11/01 20:00:57 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:18 time: 0.0756 data_time: 0.0033 memory: 3208 2022/11/01 20:00:57 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:17 time: 0.0747 data_time: 0.0033 memory: 3208 2022/11/01 20:00:57 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:17 time: 0.0787 data_time: 0.0038 memory: 3208 2022/11/01 20:00:58 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:00:17 time: 0.0817 data_time: 0.0038 memory: 3208 2022/11/01 20:00:58 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:00:17 time: 0.0762 data_time: 0.0031 memory: 3208 2022/11/01 20:00:59 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:15 time: 0.0732 data_time: 0.0029 memory: 3208 2022/11/01 20:00:59 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:15 time: 0.0760 data_time: 0.0029 memory: 3208 2022/11/01 20:00:59 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:00:14 time: 0.0730 data_time: 0.0026 memory: 3208 2022/11/01 20:01:00 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:00:14 time: 0.0710 data_time: 0.0025 memory: 3208 2022/11/01 20:01:00 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:13 time: 0.0719 data_time: 0.0026 memory: 3208 2022/11/01 20:01:00 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:13 time: 0.0750 data_time: 0.0027 memory: 3208 2022/11/01 20:01:01 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:13 time: 0.0749 data_time: 0.0026 memory: 3208 2022/11/01 20:01:01 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:13 time: 0.0854 data_time: 0.0028 memory: 3208 2022/11/01 20:01:02 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:00:14 time: 0.0862 data_time: 0.0028 memory: 3208 2022/11/01 20:01:02 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:00:14 time: 0.0709 data_time: 0.0027 memory: 3208 2022/11/01 20:01:02 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:00:13 time: 0.0814 data_time: 0.0029 memory: 3208 2022/11/01 20:01:03 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:00:13 time: 0.0850 data_time: 0.0031 memory: 3208 2022/11/01 20:01:03 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:11 time: 0.0784 data_time: 0.0029 memory: 3208 2022/11/01 20:01:04 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:11 time: 0.0818 data_time: 0.0086 memory: 3208 2022/11/01 20:01:04 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:11 time: 0.0789 data_time: 0.0086 memory: 3208 2022/11/01 20:01:04 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:11 time: 0.0802 data_time: 0.0031 memory: 3208 2022/11/01 20:01:05 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:10 time: 0.0803 data_time: 0.0034 memory: 3208 2022/11/01 20:01:05 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:10 time: 0.0765 data_time: 0.0032 memory: 3208 2022/11/01 20:01:06 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:10 time: 0.0848 data_time: 0.0035 memory: 3208 2022/11/01 20:01:06 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:10 time: 0.0840 data_time: 0.0035 memory: 3208 2022/11/01 20:01:06 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:08 time: 0.0817 data_time: 0.0040 memory: 3208 2022/11/01 20:01:07 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:08 time: 0.0816 data_time: 0.0050 memory: 3208 2022/11/01 20:01:07 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:07 time: 0.0734 data_time: 0.0038 memory: 3208 2022/11/01 20:01:08 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:07 time: 0.0724 data_time: 0.0026 memory: 3208 2022/11/01 20:01:08 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:06 time: 0.0745 data_time: 0.0028 memory: 3208 2022/11/01 20:01:08 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:06 time: 0.0722 data_time: 0.0028 memory: 3208 2022/11/01 20:01:09 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:05 time: 0.0687 data_time: 0.0027 memory: 3208 2022/11/01 20:01:09 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:05 time: 0.0704 data_time: 0.0025 memory: 3208 2022/11/01 20:01:09 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:04 time: 0.0706 data_time: 0.0025 memory: 3208 2022/11/01 20:01:10 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:04 time: 0.0693 data_time: 0.0025 memory: 3208 2022/11/01 20:01:10 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:04 time: 0.0706 data_time: 0.0026 memory: 3208 2022/11/01 20:01:10 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:04 time: 0.0738 data_time: 0.0025 memory: 3208 2022/11/01 20:01:11 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:03 time: 0.0760 data_time: 0.0026 memory: 3208 2022/11/01 20:01:11 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:03 time: 0.0740 data_time: 0.0027 memory: 3208 2022/11/01 20:01:12 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:02 time: 0.0706 data_time: 0.0027 memory: 3208 2022/11/01 20:01:12 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:02 time: 0.0702 data_time: 0.0028 memory: 3208 2022/11/01 20:01:12 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:02 time: 0.0714 data_time: 0.0029 memory: 3208 2022/11/01 20:01:13 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:02 time: 0.0769 data_time: 0.0104 memory: 3208 2022/11/01 20:01:13 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:01 time: 0.0770 data_time: 0.0102 memory: 3208 2022/11/01 20:01:13 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:01 time: 0.0726 data_time: 0.0026 memory: 3208 2022/11/01 20:01:14 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:00 time: 0.0744 data_time: 0.0026 memory: 3208 2022/11/01 20:01:14 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:00 time: 0.0785 data_time: 0.0026 memory: 3208 2022/11/01 20:01:15 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.0757 data_time: 0.0027 memory: 3208 2022/11/01 20:01:15 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 20:01:15 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7978, precision: 0.6904, hmean: 0.7402 2022/11/01 20:01:15 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7978, precision: 0.6904, hmean: 0.7402 2022/11/01 20:01:15 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7978, precision: 0.6904, hmean: 0.7402 2022/11/01 20:01:15 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7978, precision: 0.7371, hmean: 0.7662 2022/11/01 20:01:15 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7963, precision: 0.7895, hmean: 0.7929 2022/11/01 20:01:15 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7901, precision: 0.8360, hmean: 0.8124 2022/11/01 20:01:15 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7492, precision: 0.8922, hmean: 0.8144 2022/11/01 20:01:15 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.8922 icdar/recall: 0.7492 icdar/hmean: 0.8144 2022/11/01 20:02:54 - mmengine - INFO - Epoch(train) [161][5/63] lr: 1.0000e-04 eta: 0:00:00 time: 10.3129 data_time: 9.4691 memory: 27783 loss: 0.2488 loss_text: 0.1724 loss_kernel: 0.0763 2022/11/01 20:02:58 - mmengine - INFO - Epoch(train) [161][10/63] lr: 1.0000e-04 eta: 18:07:57 time: 10.3479 data_time: 9.4746 memory: 27783 loss: 0.2460 loss_text: 0.1708 loss_kernel: 0.0751 2022/11/01 20:03:03 - mmengine - INFO - Epoch(train) [161][15/63] lr: 1.0000e-04 eta: 18:07:57 time: 0.9113 data_time: 0.0233 memory: 27783 loss: 0.1839 loss_text: 0.1273 loss_kernel: 0.0566 2022/11/01 20:03:07 - mmengine - INFO - Epoch(train) [161][20/63] lr: 1.0000e-04 eta: 18:06:54 time: 0.9207 data_time: 0.0287 memory: 27783 loss: 0.2101 loss_text: 0.1459 loss_kernel: 0.0642 2022/11/01 20:03:12 - mmengine - INFO - Epoch(train) [161][25/63] lr: 1.0000e-04 eta: 18:06:54 time: 0.9003 data_time: 0.0244 memory: 27783 loss: 0.2398 loss_text: 0.1661 loss_kernel: 0.0737 2022/11/01 20:03:17 - mmengine - INFO - Epoch(train) [161][30/63] lr: 1.0000e-04 eta: 18:05:53 time: 0.9534 data_time: 0.0201 memory: 27783 loss: 0.2491 loss_text: 0.1726 loss_kernel: 0.0765 2022/11/01 20:03:22 - mmengine - INFO - Epoch(train) [161][35/63] lr: 1.0000e-04 eta: 18:05:53 time: 1.0010 data_time: 0.0264 memory: 27783 loss: 0.2157 loss_text: 0.1507 loss_kernel: 0.0650 2022/11/01 20:03:26 - mmengine - INFO - Epoch(train) [161][40/63] lr: 1.0000e-04 eta: 18:04:51 time: 0.9467 data_time: 0.0191 memory: 27783 loss: 0.2185 loss_text: 0.1516 loss_kernel: 0.0670 2022/11/01 20:03:31 - mmengine - INFO - Epoch(train) [161][45/63] lr: 1.0000e-04 eta: 18:04:51 time: 0.9033 data_time: 0.0150 memory: 27783 loss: 0.2371 loss_text: 0.1646 loss_kernel: 0.0725 2022/11/01 20:03:35 - mmengine - INFO - Epoch(train) [161][50/63] lr: 1.0000e-04 eta: 18:03:47 time: 0.9041 data_time: 0.0202 memory: 27783 loss: 0.2115 loss_text: 0.1468 loss_kernel: 0.0648 2022/11/01 20:03:40 - mmengine - INFO - Epoch(train) [161][55/63] lr: 1.0000e-04 eta: 18:03:47 time: 0.9046 data_time: 0.0191 memory: 27783 loss: 0.2310 loss_text: 0.1611 loss_kernel: 0.0699 2022/11/01 20:03:45 - mmengine - INFO - Epoch(train) [161][60/63] lr: 1.0000e-04 eta: 18:02:45 time: 0.9241 data_time: 0.0210 memory: 27783 loss: 0.2084 loss_text: 0.1459 loss_kernel: 0.0625 2022/11/01 20:03:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:05:27 - mmengine - INFO - Epoch(train) [162][5/63] lr: 1.0000e-04 eta: 18:02:45 time: 10.4403 data_time: 9.5999 memory: 27783 loss: 0.2568 loss_text: 0.1772 loss_kernel: 0.0796 2022/11/01 20:05:32 - mmengine - INFO - Epoch(train) [162][10/63] lr: 1.0000e-04 eta: 18:05:37 time: 10.4987 data_time: 9.6123 memory: 27783 loss: 0.2338 loss_text: 0.1623 loss_kernel: 0.0715 2022/11/01 20:05:37 - mmengine - INFO - Epoch(train) [162][15/63] lr: 1.0000e-04 eta: 18:05:37 time: 0.9566 data_time: 0.0231 memory: 27783 loss: 0.2147 loss_text: 0.1493 loss_kernel: 0.0654 2022/11/01 20:05:42 - mmengine - INFO - Epoch(train) [162][20/63] lr: 1.0000e-04 eta: 18:04:37 time: 0.9958 data_time: 0.0202 memory: 27783 loss: 0.2181 loss_text: 0.1510 loss_kernel: 0.0671 2022/11/01 20:05:47 - mmengine - INFO - Epoch(train) [162][25/63] lr: 1.0000e-04 eta: 18:04:37 time: 0.9852 data_time: 0.0297 memory: 27783 loss: 0.2142 loss_text: 0.1480 loss_kernel: 0.0662 2022/11/01 20:05:51 - mmengine - INFO - Epoch(train) [162][30/63] lr: 1.0000e-04 eta: 18:03:35 time: 0.9392 data_time: 0.0181 memory: 27783 loss: 0.2421 loss_text: 0.1690 loss_kernel: 0.0731 2022/11/01 20:05:57 - mmengine - INFO - Epoch(train) [162][35/63] lr: 1.0000e-04 eta: 18:03:35 time: 0.9865 data_time: 0.0213 memory: 27783 loss: 0.2497 loss_text: 0.1747 loss_kernel: 0.0750 2022/11/01 20:06:01 - mmengine - INFO - Epoch(train) [162][40/63] lr: 1.0000e-04 eta: 18:02:34 time: 0.9818 data_time: 0.0209 memory: 27783 loss: 0.2301 loss_text: 0.1596 loss_kernel: 0.0705 2022/11/01 20:06:06 - mmengine - INFO - Epoch(train) [162][45/63] lr: 1.0000e-04 eta: 18:02:34 time: 0.9188 data_time: 0.0181 memory: 27783 loss: 0.2066 loss_text: 0.1422 loss_kernel: 0.0644 2022/11/01 20:06:10 - mmengine - INFO - Epoch(train) [162][50/63] lr: 1.0000e-04 eta: 18:01:32 time: 0.9377 data_time: 0.0302 memory: 27783 loss: 0.1912 loss_text: 0.1309 loss_kernel: 0.0603 2022/11/01 20:06:15 - mmengine - INFO - Epoch(train) [162][55/63] lr: 1.0000e-04 eta: 18:01:32 time: 0.9743 data_time: 0.0224 memory: 27783 loss: 0.2043 loss_text: 0.1399 loss_kernel: 0.0644 2022/11/01 20:06:20 - mmengine - INFO - Epoch(train) [162][60/63] lr: 1.0000e-04 eta: 18:00:31 time: 0.9558 data_time: 0.0171 memory: 27783 loss: 0.2197 loss_text: 0.1506 loss_kernel: 0.0690 2022/11/01 20:06:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:08:02 - mmengine - INFO - Epoch(train) [163][5/63] lr: 1.0000e-04 eta: 18:00:31 time: 10.3587 data_time: 9.4888 memory: 27783 loss: 0.2104 loss_text: 0.1453 loss_kernel: 0.0650 2022/11/01 20:08:07 - mmengine - INFO - Epoch(train) [163][10/63] lr: 1.0000e-04 eta: 18:03:19 time: 10.3923 data_time: 9.4973 memory: 27783 loss: 0.2615 loss_text: 0.1819 loss_kernel: 0.0796 2022/11/01 20:08:11 - mmengine - INFO - Epoch(train) [163][15/63] lr: 1.0000e-04 eta: 18:03:19 time: 0.9323 data_time: 0.0187 memory: 27783 loss: 0.2705 loss_text: 0.1879 loss_kernel: 0.0827 2022/11/01 20:08:16 - mmengine - INFO - Epoch(train) [163][20/63] lr: 1.0000e-04 eta: 18:02:17 time: 0.9520 data_time: 0.0226 memory: 27783 loss: 0.2410 loss_text: 0.1663 loss_kernel: 0.0747 2022/11/01 20:08:21 - mmengine - INFO - Epoch(train) [163][25/63] lr: 1.0000e-04 eta: 18:02:17 time: 0.9381 data_time: 0.0253 memory: 27783 loss: 0.2264 loss_text: 0.1562 loss_kernel: 0.0702 2022/11/01 20:08:25 - mmengine - INFO - Epoch(train) [163][30/63] lr: 1.0000e-04 eta: 18:01:15 time: 0.9110 data_time: 0.0176 memory: 27783 loss: 0.2101 loss_text: 0.1454 loss_kernel: 0.0647 2022/11/01 20:08:30 - mmengine - INFO - Epoch(train) [163][35/63] lr: 1.0000e-04 eta: 18:01:15 time: 0.9274 data_time: 0.0234 memory: 27783 loss: 0.1873 loss_text: 0.1285 loss_kernel: 0.0588 2022/11/01 20:08:35 - mmengine - INFO - Epoch(train) [163][40/63] lr: 1.0000e-04 eta: 18:00:14 time: 0.9651 data_time: 0.0218 memory: 27783 loss: 0.1901 loss_text: 0.1310 loss_kernel: 0.0591 2022/11/01 20:08:39 - mmengine - INFO - Epoch(train) [163][45/63] lr: 1.0000e-04 eta: 18:00:14 time: 0.9467 data_time: 0.0188 memory: 27783 loss: 0.2313 loss_text: 0.1600 loss_kernel: 0.0713 2022/11/01 20:08:44 - mmengine - INFO - Epoch(train) [163][50/63] lr: 1.0000e-04 eta: 17:59:12 time: 0.9094 data_time: 0.0243 memory: 27783 loss: 0.2240 loss_text: 0.1540 loss_kernel: 0.0700 2022/11/01 20:08:49 - mmengine - INFO - Epoch(train) [163][55/63] lr: 1.0000e-04 eta: 17:59:12 time: 0.9112 data_time: 0.0183 memory: 27783 loss: 0.1961 loss_text: 0.1357 loss_kernel: 0.0603 2022/11/01 20:08:53 - mmengine - INFO - Epoch(train) [163][60/63] lr: 1.0000e-04 eta: 17:58:10 time: 0.9222 data_time: 0.0194 memory: 27783 loss: 0.2271 loss_text: 0.1579 loss_kernel: 0.0692 2022/11/01 20:08:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:10:37 - mmengine - INFO - Epoch(train) [164][5/63] lr: 1.0000e-04 eta: 17:58:10 time: 10.5166 data_time: 9.5824 memory: 27783 loss: 0.2337 loss_text: 0.1617 loss_kernel: 0.0720 2022/11/01 20:10:42 - mmengine - INFO - Epoch(train) [164][10/63] lr: 1.0000e-04 eta: 18:01:02 time: 10.6386 data_time: 9.5986 memory: 27783 loss: 0.2554 loss_text: 0.1766 loss_kernel: 0.0788 2022/11/01 20:10:47 - mmengine - INFO - Epoch(train) [164][15/63] lr: 1.0000e-04 eta: 18:01:02 time: 1.0212 data_time: 0.0298 memory: 27783 loss: 0.2441 loss_text: 0.1704 loss_kernel: 0.0737 2022/11/01 20:10:52 - mmengine - INFO - Epoch(train) [164][20/63] lr: 1.0000e-04 eta: 18:00:01 time: 0.9328 data_time: 0.0223 memory: 27783 loss: 0.2074 loss_text: 0.1443 loss_kernel: 0.0631 2022/11/01 20:10:56 - mmengine - INFO - Epoch(train) [164][25/63] lr: 1.0000e-04 eta: 18:00:01 time: 0.9380 data_time: 0.0259 memory: 27783 loss: 0.2177 loss_text: 0.1498 loss_kernel: 0.0678 2022/11/01 20:11:01 - mmengine - INFO - Epoch(train) [164][30/63] lr: 1.0000e-04 eta: 17:58:59 time: 0.9221 data_time: 0.0202 memory: 27783 loss: 0.2198 loss_text: 0.1500 loss_kernel: 0.0698 2022/11/01 20:11:05 - mmengine - INFO - Epoch(train) [164][35/63] lr: 1.0000e-04 eta: 17:58:59 time: 0.9131 data_time: 0.0240 memory: 27783 loss: 0.1918 loss_text: 0.1325 loss_kernel: 0.0593 2022/11/01 20:11:10 - mmengine - INFO - Epoch(train) [164][40/63] lr: 1.0000e-04 eta: 17:57:57 time: 0.9359 data_time: 0.0179 memory: 27783 loss: 0.2020 loss_text: 0.1393 loss_kernel: 0.0626 2022/11/01 20:11:15 - mmengine - INFO - Epoch(train) [164][45/63] lr: 1.0000e-04 eta: 17:57:57 time: 0.9482 data_time: 0.0315 memory: 27783 loss: 0.2428 loss_text: 0.1668 loss_kernel: 0.0760 2022/11/01 20:11:20 - mmengine - INFO - Epoch(train) [164][50/63] lr: 1.0000e-04 eta: 17:56:58 time: 1.0117 data_time: 0.0465 memory: 27783 loss: 0.2402 loss_text: 0.1678 loss_kernel: 0.0724 2022/11/01 20:11:25 - mmengine - INFO - Epoch(train) [164][55/63] lr: 1.0000e-04 eta: 17:56:58 time: 0.9929 data_time: 0.0224 memory: 27783 loss: 0.2119 loss_text: 0.1474 loss_kernel: 0.0645 2022/11/01 20:11:30 - mmengine - INFO - Epoch(train) [164][60/63] lr: 1.0000e-04 eta: 17:55:57 time: 0.9229 data_time: 0.0163 memory: 27783 loss: 0.1748 loss_text: 0.1195 loss_kernel: 0.0553 2022/11/01 20:11:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:13:12 - mmengine - INFO - Epoch(train) [165][5/63] lr: 1.0000e-04 eta: 17:55:57 time: 10.3710 data_time: 9.4456 memory: 27783 loss: 0.2012 loss_text: 0.1388 loss_kernel: 0.0625 2022/11/01 20:13:16 - mmengine - INFO - Epoch(train) [165][10/63] lr: 1.0000e-04 eta: 17:58:42 time: 10.4168 data_time: 9.4530 memory: 27783 loss: 0.2334 loss_text: 0.1624 loss_kernel: 0.0710 2022/11/01 20:13:21 - mmengine - INFO - Epoch(train) [165][15/63] lr: 1.0000e-04 eta: 17:58:42 time: 0.9006 data_time: 0.0192 memory: 27783 loss: 0.2471 loss_text: 0.1716 loss_kernel: 0.0755 2022/11/01 20:13:25 - mmengine - INFO - Epoch(train) [165][20/63] lr: 1.0000e-04 eta: 17:57:40 time: 0.9075 data_time: 0.0256 memory: 27783 loss: 0.2224 loss_text: 0.1536 loss_kernel: 0.0687 2022/11/01 20:13:30 - mmengine - INFO - Epoch(train) [165][25/63] lr: 1.0000e-04 eta: 17:57:40 time: 0.9090 data_time: 0.0255 memory: 27783 loss: 0.2220 loss_text: 0.1538 loss_kernel: 0.0683 2022/11/01 20:13:34 - mmengine - INFO - Epoch(train) [165][30/63] lr: 1.0000e-04 eta: 17:56:38 time: 0.9167 data_time: 0.0160 memory: 27783 loss: 0.2407 loss_text: 0.1656 loss_kernel: 0.0751 2022/11/01 20:13:40 - mmengine - INFO - Epoch(train) [165][35/63] lr: 1.0000e-04 eta: 17:56:38 time: 1.0073 data_time: 0.0289 memory: 27783 loss: 0.2247 loss_text: 0.1539 loss_kernel: 0.0708 2022/11/01 20:13:44 - mmengine - INFO - Epoch(train) [165][40/63] lr: 1.0000e-04 eta: 17:55:39 time: 1.0041 data_time: 0.0259 memory: 27783 loss: 0.2082 loss_text: 0.1433 loss_kernel: 0.0649 2022/11/01 20:13:50 - mmengine - INFO - Epoch(train) [165][45/63] lr: 1.0000e-04 eta: 17:55:39 time: 1.0065 data_time: 0.0197 memory: 27783 loss: 0.2061 loss_text: 0.1418 loss_kernel: 0.0644 2022/11/01 20:13:54 - mmengine - INFO - Epoch(train) [165][50/63] lr: 1.0000e-04 eta: 17:54:40 time: 1.0072 data_time: 0.0262 memory: 27783 loss: 0.2023 loss_text: 0.1398 loss_kernel: 0.0625 2022/11/01 20:13:59 - mmengine - INFO - Epoch(train) [165][55/63] lr: 1.0000e-04 eta: 17:54:40 time: 0.9073 data_time: 0.0235 memory: 27783 loss: 0.1999 loss_text: 0.1377 loss_kernel: 0.0622 2022/11/01 20:14:03 - mmengine - INFO - Epoch(train) [165][60/63] lr: 1.0000e-04 eta: 17:53:37 time: 0.8835 data_time: 0.0214 memory: 27783 loss: 0.2385 loss_text: 0.1651 loss_kernel: 0.0734 2022/11/01 20:14:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:15:46 - mmengine - INFO - Epoch(train) [166][5/63] lr: 1.0000e-04 eta: 17:53:37 time: 10.4007 data_time: 9.5618 memory: 27783 loss: 0.2198 loss_text: 0.1503 loss_kernel: 0.0694 2022/11/01 20:15:50 - mmengine - INFO - Epoch(train) [166][10/63] lr: 1.0000e-04 eta: 17:56:22 time: 10.4604 data_time: 9.5688 memory: 27783 loss: 0.2055 loss_text: 0.1405 loss_kernel: 0.0650 2022/11/01 20:15:55 - mmengine - INFO - Epoch(train) [166][15/63] lr: 1.0000e-04 eta: 17:56:22 time: 0.9079 data_time: 0.0209 memory: 27783 loss: 0.1726 loss_text: 0.1181 loss_kernel: 0.0545 2022/11/01 20:16:01 - mmengine - INFO - Epoch(train) [166][20/63] lr: 1.0000e-04 eta: 17:55:24 time: 1.0701 data_time: 0.0290 memory: 27783 loss: 0.1915 loss_text: 0.1306 loss_kernel: 0.0609 2022/11/01 20:16:05 - mmengine - INFO - Epoch(train) [166][25/63] lr: 1.0000e-04 eta: 17:55:24 time: 1.0760 data_time: 0.0340 memory: 27783 loss: 0.2074 loss_text: 0.1420 loss_kernel: 0.0654 2022/11/01 20:16:10 - mmengine - INFO - Epoch(train) [166][30/63] lr: 1.0000e-04 eta: 17:54:23 time: 0.9197 data_time: 0.0189 memory: 27783 loss: 0.2319 loss_text: 0.1604 loss_kernel: 0.0715 2022/11/01 20:16:15 - mmengine - INFO - Epoch(train) [166][35/63] lr: 1.0000e-04 eta: 17:54:23 time: 0.9131 data_time: 0.0196 memory: 27783 loss: 0.2127 loss_text: 0.1470 loss_kernel: 0.0656 2022/11/01 20:16:19 - mmengine - INFO - Epoch(train) [166][40/63] lr: 1.0000e-04 eta: 17:53:21 time: 0.8930 data_time: 0.0177 memory: 27783 loss: 0.2062 loss_text: 0.1421 loss_kernel: 0.0641 2022/11/01 20:16:24 - mmengine - INFO - Epoch(train) [166][45/63] lr: 1.0000e-04 eta: 17:53:21 time: 0.8909 data_time: 0.0150 memory: 27783 loss: 0.2328 loss_text: 0.1603 loss_kernel: 0.0725 2022/11/01 20:16:28 - mmengine - INFO - Epoch(train) [166][50/63] lr: 1.0000e-04 eta: 17:52:20 time: 0.9037 data_time: 0.0222 memory: 27783 loss: 0.2001 loss_text: 0.1373 loss_kernel: 0.0628 2022/11/01 20:16:33 - mmengine - INFO - Epoch(train) [166][55/63] lr: 1.0000e-04 eta: 17:52:20 time: 0.9130 data_time: 0.0172 memory: 27783 loss: 0.2198 loss_text: 0.1531 loss_kernel: 0.0667 2022/11/01 20:16:38 - mmengine - INFO - Epoch(train) [166][60/63] lr: 1.0000e-04 eta: 17:51:21 time: 0.9919 data_time: 0.0196 memory: 27783 loss: 0.2303 loss_text: 0.1611 loss_kernel: 0.0692 2022/11/01 20:16:40 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:18:20 - mmengine - INFO - Epoch(train) [167][5/63] lr: 1.0000e-04 eta: 17:51:21 time: 10.4128 data_time: 9.4739 memory: 27783 loss: 0.2773 loss_text: 0.1940 loss_kernel: 0.0833 2022/11/01 20:18:25 - mmengine - INFO - Epoch(train) [167][10/63] lr: 1.0000e-04 eta: 17:54:04 time: 10.4844 data_time: 9.4907 memory: 27783 loss: 0.2505 loss_text: 0.1751 loss_kernel: 0.0754 2022/11/01 20:18:30 - mmengine - INFO - Epoch(train) [167][15/63] lr: 1.0000e-04 eta: 17:54:04 time: 0.9750 data_time: 0.0281 memory: 27783 loss: 0.2588 loss_text: 0.1784 loss_kernel: 0.0804 2022/11/01 20:18:34 - mmengine - INFO - Epoch(train) [167][20/63] lr: 1.0000e-04 eta: 17:53:03 time: 0.9382 data_time: 0.0205 memory: 27783 loss: 0.2588 loss_text: 0.1780 loss_kernel: 0.0808 2022/11/01 20:18:39 - mmengine - INFO - Epoch(train) [167][25/63] lr: 1.0000e-04 eta: 17:53:03 time: 0.9218 data_time: 0.0326 memory: 27783 loss: 0.2235 loss_text: 0.1548 loss_kernel: 0.0688 2022/11/01 20:18:44 - mmengine - INFO - Epoch(train) [167][30/63] lr: 1.0000e-04 eta: 17:52:02 time: 0.9131 data_time: 0.0202 memory: 27783 loss: 0.2261 loss_text: 0.1566 loss_kernel: 0.0695 2022/11/01 20:18:48 - mmengine - INFO - Epoch(train) [167][35/63] lr: 1.0000e-04 eta: 17:52:02 time: 0.9188 data_time: 0.0205 memory: 27783 loss: 0.2567 loss_text: 0.1775 loss_kernel: 0.0793 2022/11/01 20:18:53 - mmengine - INFO - Epoch(train) [167][40/63] lr: 1.0000e-04 eta: 17:51:01 time: 0.9149 data_time: 0.0213 memory: 27783 loss: 0.2282 loss_text: 0.1578 loss_kernel: 0.0703 2022/11/01 20:18:58 - mmengine - INFO - Epoch(train) [167][45/63] lr: 1.0000e-04 eta: 17:51:01 time: 0.9513 data_time: 0.0178 memory: 27783 loss: 0.2120 loss_text: 0.1456 loss_kernel: 0.0664 2022/11/01 20:19:03 - mmengine - INFO - Epoch(train) [167][50/63] lr: 1.0000e-04 eta: 17:50:02 time: 0.9819 data_time: 0.0296 memory: 27783 loss: 0.2290 loss_text: 0.1579 loss_kernel: 0.0711 2022/11/01 20:19:07 - mmengine - INFO - Epoch(train) [167][55/63] lr: 1.0000e-04 eta: 17:50:02 time: 0.9444 data_time: 0.0205 memory: 27783 loss: 0.2409 loss_text: 0.1674 loss_kernel: 0.0735 2022/11/01 20:19:12 - mmengine - INFO - Epoch(train) [167][60/63] lr: 1.0000e-04 eta: 17:49:01 time: 0.9116 data_time: 0.0163 memory: 27783 loss: 0.2369 loss_text: 0.1640 loss_kernel: 0.0729 2022/11/01 20:19:14 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:20:54 - mmengine - INFO - Epoch(train) [168][5/63] lr: 1.0000e-04 eta: 17:49:01 time: 10.4306 data_time: 9.5548 memory: 27783 loss: 0.2176 loss_text: 0.1498 loss_kernel: 0.0678 2022/11/01 20:20:59 - mmengine - INFO - Epoch(train) [168][10/63] lr: 1.0000e-04 eta: 17:51:44 time: 10.5150 data_time: 9.5617 memory: 27783 loss: 0.1788 loss_text: 0.1232 loss_kernel: 0.0556 2022/11/01 20:21:04 - mmengine - INFO - Epoch(train) [168][15/63] lr: 1.0000e-04 eta: 17:51:44 time: 0.9437 data_time: 0.0201 memory: 27783 loss: 0.1845 loss_text: 0.1279 loss_kernel: 0.0566 2022/11/01 20:21:08 - mmengine - INFO - Epoch(train) [168][20/63] lr: 1.0000e-04 eta: 17:50:43 time: 0.9173 data_time: 0.0264 memory: 27783 loss: 0.2285 loss_text: 0.1578 loss_kernel: 0.0707 2022/11/01 20:21:13 - mmengine - INFO - Epoch(train) [168][25/63] lr: 1.0000e-04 eta: 17:50:43 time: 0.9097 data_time: 0.0243 memory: 27783 loss: 0.1889 loss_text: 0.1300 loss_kernel: 0.0589 2022/11/01 20:21:17 - mmengine - INFO - Epoch(train) [168][30/63] lr: 1.0000e-04 eta: 17:49:42 time: 0.8998 data_time: 0.0172 memory: 27783 loss: 0.1736 loss_text: 0.1201 loss_kernel: 0.0534 2022/11/01 20:21:22 - mmengine - INFO - Epoch(train) [168][35/63] lr: 1.0000e-04 eta: 17:49:42 time: 0.8938 data_time: 0.0201 memory: 27783 loss: 0.2277 loss_text: 0.1580 loss_kernel: 0.0697 2022/11/01 20:21:26 - mmengine - INFO - Epoch(train) [168][40/63] lr: 1.0000e-04 eta: 17:48:41 time: 0.9005 data_time: 0.0194 memory: 27783 loss: 0.2332 loss_text: 0.1616 loss_kernel: 0.0716 2022/11/01 20:21:31 - mmengine - INFO - Epoch(train) [168][45/63] lr: 1.0000e-04 eta: 17:48:41 time: 0.9246 data_time: 0.0237 memory: 27783 loss: 0.2417 loss_text: 0.1677 loss_kernel: 0.0740 2022/11/01 20:21:36 - mmengine - INFO - Epoch(train) [168][50/63] lr: 1.0000e-04 eta: 17:47:40 time: 0.9257 data_time: 0.0225 memory: 27783 loss: 0.2555 loss_text: 0.1792 loss_kernel: 0.0764 2022/11/01 20:21:40 - mmengine - INFO - Epoch(train) [168][55/63] lr: 1.0000e-04 eta: 17:47:40 time: 0.9279 data_time: 0.0157 memory: 27783 loss: 0.2489 loss_text: 0.1736 loss_kernel: 0.0753 2022/11/01 20:21:45 - mmengine - INFO - Epoch(train) [168][60/63] lr: 1.0000e-04 eta: 17:46:40 time: 0.9233 data_time: 0.0190 memory: 27783 loss: 0.2240 loss_text: 0.1544 loss_kernel: 0.0696 2022/11/01 20:21:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:23:26 - mmengine - INFO - Epoch(train) [169][5/63] lr: 1.0000e-04 eta: 17:46:40 time: 10.3264 data_time: 9.4564 memory: 27783 loss: 0.2477 loss_text: 0.1713 loss_kernel: 0.0764 2022/11/01 20:23:31 - mmengine - INFO - Epoch(train) [169][10/63] lr: 1.0000e-04 eta: 17:49:18 time: 10.4022 data_time: 9.4721 memory: 27783 loss: 0.2416 loss_text: 0.1676 loss_kernel: 0.0741 2022/11/01 20:23:36 - mmengine - INFO - Epoch(train) [169][15/63] lr: 1.0000e-04 eta: 17:49:18 time: 0.9165 data_time: 0.0251 memory: 27783 loss: 0.2017 loss_text: 0.1386 loss_kernel: 0.0631 2022/11/01 20:23:40 - mmengine - INFO - Epoch(train) [169][20/63] lr: 1.0000e-04 eta: 17:48:18 time: 0.9210 data_time: 0.0186 memory: 27783 loss: 0.1798 loss_text: 0.1231 loss_kernel: 0.0566 2022/11/01 20:23:45 - mmengine - INFO - Epoch(train) [169][25/63] lr: 1.0000e-04 eta: 17:48:18 time: 0.9325 data_time: 0.0292 memory: 27783 loss: 0.1654 loss_text: 0.1146 loss_kernel: 0.0508 2022/11/01 20:23:50 - mmengine - INFO - Epoch(train) [169][30/63] lr: 1.0000e-04 eta: 17:47:17 time: 0.9251 data_time: 0.0168 memory: 27783 loss: 0.1961 loss_text: 0.1351 loss_kernel: 0.0610 2022/11/01 20:23:55 - mmengine - INFO - Epoch(train) [169][35/63] lr: 1.0000e-04 eta: 17:47:17 time: 0.9527 data_time: 0.0188 memory: 27783 loss: 0.2199 loss_text: 0.1504 loss_kernel: 0.0695 2022/11/01 20:24:00 - mmengine - INFO - Epoch(train) [169][40/63] lr: 1.0000e-04 eta: 17:46:20 time: 1.0168 data_time: 0.0205 memory: 27783 loss: 0.2092 loss_text: 0.1442 loss_kernel: 0.0650 2022/11/01 20:24:05 - mmengine - INFO - Epoch(train) [169][45/63] lr: 1.0000e-04 eta: 17:46:20 time: 1.0006 data_time: 0.0261 memory: 27783 loss: 0.1961 loss_text: 0.1353 loss_kernel: 0.0607 2022/11/01 20:24:09 - mmengine - INFO - Epoch(train) [169][50/63] lr: 1.0000e-04 eta: 17:45:20 time: 0.9382 data_time: 0.0382 memory: 27783 loss: 0.2053 loss_text: 0.1410 loss_kernel: 0.0643 2022/11/01 20:24:14 - mmengine - INFO - Epoch(train) [169][55/63] lr: 1.0000e-04 eta: 17:45:20 time: 0.9000 data_time: 0.0196 memory: 27783 loss: 0.2325 loss_text: 0.1600 loss_kernel: 0.0725 2022/11/01 20:24:18 - mmengine - INFO - Epoch(train) [169][60/63] lr: 1.0000e-04 eta: 17:44:18 time: 0.8694 data_time: 0.0135 memory: 27783 loss: 0.2566 loss_text: 0.1772 loss_kernel: 0.0794 2022/11/01 20:24:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:26:00 - mmengine - INFO - Epoch(train) [170][5/63] lr: 1.0000e-04 eta: 17:44:18 time: 10.3677 data_time: 9.5264 memory: 27783 loss: 0.2613 loss_text: 0.1822 loss_kernel: 0.0792 2022/11/01 20:26:04 - mmengine - INFO - Epoch(train) [170][10/63] lr: 1.0000e-04 eta: 17:46:55 time: 10.4049 data_time: 9.5308 memory: 27783 loss: 0.2606 loss_text: 0.1809 loss_kernel: 0.0797 2022/11/01 20:26:09 - mmengine - INFO - Epoch(train) [170][15/63] lr: 1.0000e-04 eta: 17:46:55 time: 0.8941 data_time: 0.0172 memory: 27783 loss: 0.2316 loss_text: 0.1612 loss_kernel: 0.0704 2022/11/01 20:26:13 - mmengine - INFO - Epoch(train) [170][20/63] lr: 1.0000e-04 eta: 17:45:54 time: 0.8986 data_time: 0.0213 memory: 27783 loss: 0.2086 loss_text: 0.1457 loss_kernel: 0.0628 2022/11/01 20:26:18 - mmengine - INFO - Epoch(train) [170][25/63] lr: 1.0000e-04 eta: 17:45:54 time: 0.9057 data_time: 0.0192 memory: 27783 loss: 0.1888 loss_text: 0.1306 loss_kernel: 0.0583 2022/11/01 20:26:23 - mmengine - INFO - Epoch(train) [170][30/63] lr: 1.0000e-04 eta: 17:44:54 time: 0.9194 data_time: 0.0191 memory: 27783 loss: 0.1876 loss_text: 0.1285 loss_kernel: 0.0590 2022/11/01 20:26:27 - mmengine - INFO - Epoch(train) [170][35/63] lr: 1.0000e-04 eta: 17:44:54 time: 0.9366 data_time: 0.0189 memory: 27783 loss: 0.2047 loss_text: 0.1414 loss_kernel: 0.0633 2022/11/01 20:26:32 - mmengine - INFO - Epoch(train) [170][40/63] lr: 1.0000e-04 eta: 17:43:55 time: 0.9568 data_time: 0.0227 memory: 27783 loss: 0.2410 loss_text: 0.1669 loss_kernel: 0.0741 2022/11/01 20:26:37 - mmengine - INFO - Epoch(train) [170][45/63] lr: 1.0000e-04 eta: 17:43:55 time: 0.9390 data_time: 0.0267 memory: 27783 loss: 0.2890 loss_text: 0.2017 loss_kernel: 0.0873 2022/11/01 20:26:41 - mmengine - INFO - Epoch(train) [170][50/63] lr: 1.0000e-04 eta: 17:42:55 time: 0.9110 data_time: 0.0197 memory: 27783 loss: 0.2533 loss_text: 0.1779 loss_kernel: 0.0754 2022/11/01 20:26:46 - mmengine - INFO - Epoch(train) [170][55/63] lr: 1.0000e-04 eta: 17:42:55 time: 0.9159 data_time: 0.0182 memory: 27783 loss: 0.2418 loss_text: 0.1691 loss_kernel: 0.0727 2022/11/01 20:26:50 - mmengine - INFO - Epoch(train) [170][60/63] lr: 1.0000e-04 eta: 17:41:55 time: 0.9028 data_time: 0.0195 memory: 27783 loss: 0.2561 loss_text: 0.1778 loss_kernel: 0.0783 2022/11/01 20:26:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:28:32 - mmengine - INFO - Epoch(train) [171][5/63] lr: 1.0000e-04 eta: 17:41:55 time: 10.3488 data_time: 9.4964 memory: 27783 loss: 0.2375 loss_text: 0.1669 loss_kernel: 0.0706 2022/11/01 20:28:37 - mmengine - INFO - Epoch(train) [171][10/63] lr: 1.0000e-04 eta: 17:44:31 time: 10.4380 data_time: 9.4950 memory: 27783 loss: 0.1966 loss_text: 0.1363 loss_kernel: 0.0603 2022/11/01 20:28:42 - mmengine - INFO - Epoch(train) [171][15/63] lr: 1.0000e-04 eta: 17:44:31 time: 1.0048 data_time: 0.0186 memory: 27783 loss: 0.1782 loss_text: 0.1253 loss_kernel: 0.0529 2022/11/01 20:28:47 - mmengine - INFO - Epoch(train) [171][20/63] lr: 1.0000e-04 eta: 17:43:32 time: 0.9626 data_time: 0.0247 memory: 27783 loss: 0.2305 loss_text: 0.1612 loss_kernel: 0.0693 2022/11/01 20:28:51 - mmengine - INFO - Epoch(train) [171][25/63] lr: 1.0000e-04 eta: 17:43:32 time: 0.9070 data_time: 0.0188 memory: 27783 loss: 0.2542 loss_text: 0.1767 loss_kernel: 0.0776 2022/11/01 20:28:56 - mmengine - INFO - Epoch(train) [171][30/63] lr: 1.0000e-04 eta: 17:42:32 time: 0.9051 data_time: 0.0175 memory: 27783 loss: 0.2454 loss_text: 0.1719 loss_kernel: 0.0735 2022/11/01 20:29:01 - mmengine - INFO - Epoch(train) [171][35/63] lr: 1.0000e-04 eta: 17:42:32 time: 0.9232 data_time: 0.0316 memory: 27783 loss: 0.2094 loss_text: 0.1448 loss_kernel: 0.0646 2022/11/01 20:29:05 - mmengine - INFO - Epoch(train) [171][40/63] lr: 1.0000e-04 eta: 17:41:32 time: 0.9271 data_time: 0.0232 memory: 27783 loss: 0.2033 loss_text: 0.1393 loss_kernel: 0.0640 2022/11/01 20:29:10 - mmengine - INFO - Epoch(train) [171][45/63] lr: 1.0000e-04 eta: 17:41:32 time: 0.9026 data_time: 0.0165 memory: 27783 loss: 0.2256 loss_text: 0.1551 loss_kernel: 0.0705 2022/11/01 20:29:14 - mmengine - INFO - Epoch(train) [171][50/63] lr: 1.0000e-04 eta: 17:40:33 time: 0.9336 data_time: 0.0173 memory: 27783 loss: 0.2050 loss_text: 0.1424 loss_kernel: 0.0626 2022/11/01 20:29:20 - mmengine - INFO - Epoch(train) [171][55/63] lr: 1.0000e-04 eta: 17:40:33 time: 0.9965 data_time: 0.0183 memory: 27783 loss: 0.1735 loss_text: 0.1206 loss_kernel: 0.0530 2022/11/01 20:29:24 - mmengine - INFO - Epoch(train) [171][60/63] lr: 1.0000e-04 eta: 17:39:34 time: 0.9594 data_time: 0.0225 memory: 27783 loss: 0.1999 loss_text: 0.1375 loss_kernel: 0.0623 2022/11/01 20:29:26 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:31:07 - mmengine - INFO - Epoch(train) [172][5/63] lr: 1.0000e-04 eta: 17:39:34 time: 10.4700 data_time: 9.5756 memory: 27783 loss: 0.2309 loss_text: 0.1601 loss_kernel: 0.0708 2022/11/01 20:31:12 - mmengine - INFO - Epoch(train) [172][10/63] lr: 1.0000e-04 eta: 17:42:11 time: 10.5272 data_time: 9.5768 memory: 27783 loss: 0.1832 loss_text: 0.1274 loss_kernel: 0.0558 2022/11/01 20:31:16 - mmengine - INFO - Epoch(train) [172][15/63] lr: 1.0000e-04 eta: 17:42:11 time: 0.8981 data_time: 0.0171 memory: 27783 loss: 0.2032 loss_text: 0.1400 loss_kernel: 0.0632 2022/11/01 20:31:21 - mmengine - INFO - Epoch(train) [172][20/63] lr: 1.0000e-04 eta: 17:41:11 time: 0.8985 data_time: 0.0264 memory: 27783 loss: 0.2291 loss_text: 0.1580 loss_kernel: 0.0712 2022/11/01 20:31:25 - mmengine - INFO - Epoch(train) [172][25/63] lr: 1.0000e-04 eta: 17:41:11 time: 0.9010 data_time: 0.0215 memory: 27783 loss: 0.2253 loss_text: 0.1550 loss_kernel: 0.0703 2022/11/01 20:31:29 - mmengine - INFO - Epoch(train) [172][30/63] lr: 1.0000e-04 eta: 17:40:11 time: 0.8882 data_time: 0.0160 memory: 27783 loss: 0.2141 loss_text: 0.1476 loss_kernel: 0.0666 2022/11/01 20:31:34 - mmengine - INFO - Epoch(train) [172][35/63] lr: 1.0000e-04 eta: 17:40:11 time: 0.8952 data_time: 0.0183 memory: 27783 loss: 0.2386 loss_text: 0.1630 loss_kernel: 0.0756 2022/11/01 20:31:39 - mmengine - INFO - Epoch(train) [172][40/63] lr: 1.0000e-04 eta: 17:39:11 time: 0.9231 data_time: 0.0163 memory: 27783 loss: 0.2714 loss_text: 0.1849 loss_kernel: 0.0865 2022/11/01 20:31:44 - mmengine - INFO - Epoch(train) [172][45/63] lr: 1.0000e-04 eta: 17:39:11 time: 0.9579 data_time: 0.0233 memory: 27783 loss: 0.2627 loss_text: 0.1819 loss_kernel: 0.0807 2022/11/01 20:31:48 - mmengine - INFO - Epoch(train) [172][50/63] lr: 1.0000e-04 eta: 17:38:12 time: 0.9393 data_time: 0.0183 memory: 27783 loss: 0.2550 loss_text: 0.1770 loss_kernel: 0.0780 2022/11/01 20:31:53 - mmengine - INFO - Epoch(train) [172][55/63] lr: 1.0000e-04 eta: 17:38:12 time: 0.9171 data_time: 0.0399 memory: 27783 loss: 0.2509 loss_text: 0.1731 loss_kernel: 0.0778 2022/11/01 20:31:57 - mmengine - INFO - Epoch(train) [172][60/63] lr: 1.0000e-04 eta: 17:37:13 time: 0.9032 data_time: 0.0443 memory: 27783 loss: 0.2348 loss_text: 0.1612 loss_kernel: 0.0736 2022/11/01 20:31:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:33:38 - mmengine - INFO - Epoch(train) [173][5/63] lr: 1.0000e-04 eta: 17:37:13 time: 10.3041 data_time: 9.4692 memory: 27783 loss: 0.2215 loss_text: 0.1533 loss_kernel: 0.0683 2022/11/01 20:33:43 - mmengine - INFO - Epoch(train) [173][10/63] lr: 1.0000e-04 eta: 17:39:44 time: 10.3673 data_time: 9.4789 memory: 27783 loss: 0.2380 loss_text: 0.1659 loss_kernel: 0.0722 2022/11/01 20:33:48 - mmengine - INFO - Epoch(train) [173][15/63] lr: 1.0000e-04 eta: 17:39:44 time: 0.9174 data_time: 0.0199 memory: 27783 loss: 0.2089 loss_text: 0.1469 loss_kernel: 0.0620 2022/11/01 20:33:52 - mmengine - INFO - Epoch(train) [173][20/63] lr: 1.0000e-04 eta: 17:38:44 time: 0.9084 data_time: 0.0193 memory: 27783 loss: 0.2255 loss_text: 0.1565 loss_kernel: 0.0691 2022/11/01 20:33:57 - mmengine - INFO - Epoch(train) [173][25/63] lr: 1.0000e-04 eta: 17:38:44 time: 0.9048 data_time: 0.0280 memory: 27783 loss: 0.2205 loss_text: 0.1508 loss_kernel: 0.0696 2022/11/01 20:34:01 - mmengine - INFO - Epoch(train) [173][30/63] lr: 1.0000e-04 eta: 17:37:44 time: 0.8940 data_time: 0.0154 memory: 27783 loss: 0.2086 loss_text: 0.1438 loss_kernel: 0.0648 2022/11/01 20:34:06 - mmengine - INFO - Epoch(train) [173][35/63] lr: 1.0000e-04 eta: 17:37:44 time: 0.8980 data_time: 0.0155 memory: 27783 loss: 0.2549 loss_text: 0.1770 loss_kernel: 0.0779 2022/11/01 20:34:11 - mmengine - INFO - Epoch(train) [173][40/63] lr: 1.0000e-04 eta: 17:36:46 time: 0.9549 data_time: 0.0160 memory: 27783 loss: 0.2763 loss_text: 0.1917 loss_kernel: 0.0846 2022/11/01 20:34:15 - mmengine - INFO - Epoch(train) [173][45/63] lr: 1.0000e-04 eta: 17:36:46 time: 0.9464 data_time: 0.0175 memory: 27783 loss: 0.2434 loss_text: 0.1671 loss_kernel: 0.0763 2022/11/01 20:34:20 - mmengine - INFO - Epoch(train) [173][50/63] lr: 1.0000e-04 eta: 17:35:47 time: 0.8956 data_time: 0.0281 memory: 27783 loss: 0.2350 loss_text: 0.1618 loss_kernel: 0.0732 2022/11/01 20:34:25 - mmengine - INFO - Epoch(train) [173][55/63] lr: 1.0000e-04 eta: 17:35:47 time: 0.9544 data_time: 0.0179 memory: 27783 loss: 0.2083 loss_text: 0.1437 loss_kernel: 0.0646 2022/11/01 20:34:29 - mmengine - INFO - Epoch(train) [173][60/63] lr: 1.0000e-04 eta: 17:34:48 time: 0.9537 data_time: 0.0137 memory: 27783 loss: 0.1846 loss_text: 0.1277 loss_kernel: 0.0569 2022/11/01 20:34:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:36:12 - mmengine - INFO - Epoch(train) [174][5/63] lr: 1.0000e-04 eta: 17:34:48 time: 10.4122 data_time: 9.5762 memory: 27783 loss: 0.2722 loss_text: 0.1908 loss_kernel: 0.0814 2022/11/01 20:36:16 - mmengine - INFO - Epoch(train) [174][10/63] lr: 1.0000e-04 eta: 17:37:21 time: 10.4914 data_time: 9.5921 memory: 27783 loss: 0.2793 loss_text: 0.1962 loss_kernel: 0.0831 2022/11/01 20:36:21 - mmengine - INFO - Epoch(train) [174][15/63] lr: 1.0000e-04 eta: 17:37:21 time: 0.9162 data_time: 0.0224 memory: 27783 loss: 0.2627 loss_text: 0.1840 loss_kernel: 0.0787 2022/11/01 20:36:26 - mmengine - INFO - Epoch(train) [174][20/63] lr: 1.0000e-04 eta: 17:36:22 time: 0.9143 data_time: 0.0205 memory: 27783 loss: 0.2304 loss_text: 0.1605 loss_kernel: 0.0698 2022/11/01 20:36:30 - mmengine - INFO - Epoch(train) [174][25/63] lr: 1.0000e-04 eta: 17:36:22 time: 0.9220 data_time: 0.0352 memory: 27783 loss: 0.2128 loss_text: 0.1474 loss_kernel: 0.0654 2022/11/01 20:36:35 - mmengine - INFO - Epoch(train) [174][30/63] lr: 1.0000e-04 eta: 17:35:23 time: 0.9177 data_time: 0.0217 memory: 27783 loss: 0.2450 loss_text: 0.1697 loss_kernel: 0.0753 2022/11/01 20:36:40 - mmengine - INFO - Epoch(train) [174][35/63] lr: 1.0000e-04 eta: 17:35:23 time: 0.9384 data_time: 0.0203 memory: 27783 loss: 0.2449 loss_text: 0.1692 loss_kernel: 0.0757 2022/11/01 20:36:44 - mmengine - INFO - Epoch(train) [174][40/63] lr: 1.0000e-04 eta: 17:34:25 time: 0.9508 data_time: 0.0214 memory: 27783 loss: 0.2304 loss_text: 0.1589 loss_kernel: 0.0715 2022/11/01 20:36:49 - mmengine - INFO - Epoch(train) [174][45/63] lr: 1.0000e-04 eta: 17:34:25 time: 0.9330 data_time: 0.0185 memory: 27783 loss: 0.2134 loss_text: 0.1473 loss_kernel: 0.0661 2022/11/01 20:36:53 - mmengine - INFO - Epoch(train) [174][50/63] lr: 1.0000e-04 eta: 17:33:26 time: 0.9240 data_time: 0.0280 memory: 27783 loss: 0.1872 loss_text: 0.1288 loss_kernel: 0.0584 2022/11/01 20:36:58 - mmengine - INFO - Epoch(train) [174][55/63] lr: 1.0000e-04 eta: 17:33:26 time: 0.9268 data_time: 0.0164 memory: 27783 loss: 0.2013 loss_text: 0.1384 loss_kernel: 0.0629 2022/11/01 20:37:03 - mmengine - INFO - Epoch(train) [174][60/63] lr: 1.0000e-04 eta: 17:32:27 time: 0.9124 data_time: 0.0147 memory: 27783 loss: 0.2321 loss_text: 0.1594 loss_kernel: 0.0727 2022/11/01 20:37:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:38:44 - mmengine - INFO - Epoch(train) [175][5/63] lr: 1.0000e-04 eta: 17:32:27 time: 10.3365 data_time: 9.4812 memory: 27783 loss: 0.2488 loss_text: 0.1713 loss_kernel: 0.0775 2022/11/01 20:38:49 - mmengine - INFO - Epoch(train) [175][10/63] lr: 1.0000e-04 eta: 17:34:56 time: 10.4074 data_time: 9.4870 memory: 27783 loss: 0.2425 loss_text: 0.1671 loss_kernel: 0.0754 2022/11/01 20:38:54 - mmengine - INFO - Epoch(train) [175][15/63] lr: 1.0000e-04 eta: 17:34:56 time: 0.9490 data_time: 0.0227 memory: 27783 loss: 0.1791 loss_text: 0.1230 loss_kernel: 0.0560 2022/11/01 20:38:58 - mmengine - INFO - Epoch(train) [175][20/63] lr: 1.0000e-04 eta: 17:33:58 time: 0.9203 data_time: 0.0280 memory: 27783 loss: 0.1560 loss_text: 0.1072 loss_kernel: 0.0488 2022/11/01 20:39:03 - mmengine - INFO - Epoch(train) [175][25/63] lr: 1.0000e-04 eta: 17:33:58 time: 0.9512 data_time: 0.0244 memory: 27783 loss: 0.2237 loss_text: 0.1551 loss_kernel: 0.0686 2022/11/01 20:39:08 - mmengine - INFO - Epoch(train) [175][30/63] lr: 1.0000e-04 eta: 17:33:00 time: 0.9722 data_time: 0.0191 memory: 27783 loss: 0.2748 loss_text: 0.1911 loss_kernel: 0.0838 2022/11/01 20:39:13 - mmengine - INFO - Epoch(train) [175][35/63] lr: 1.0000e-04 eta: 17:33:00 time: 0.9334 data_time: 0.0217 memory: 27783 loss: 0.2266 loss_text: 0.1575 loss_kernel: 0.0690 2022/11/01 20:39:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:39:17 - mmengine - INFO - Epoch(train) [175][40/63] lr: 1.0000e-04 eta: 17:32:01 time: 0.9062 data_time: 0.0170 memory: 27783 loss: 0.2143 loss_text: 0.1481 loss_kernel: 0.0661 2022/11/01 20:39:22 - mmengine - INFO - Epoch(train) [175][45/63] lr: 1.0000e-04 eta: 17:32:01 time: 0.9013 data_time: 0.0152 memory: 27783 loss: 0.1990 loss_text: 0.1361 loss_kernel: 0.0629 2022/11/01 20:39:27 - mmengine - INFO - Epoch(train) [175][50/63] lr: 1.0000e-04 eta: 17:31:03 time: 0.9410 data_time: 0.0212 memory: 27783 loss: 0.1925 loss_text: 0.1318 loss_kernel: 0.0608 2022/11/01 20:39:31 - mmengine - INFO - Epoch(train) [175][55/63] lr: 1.0000e-04 eta: 17:31:03 time: 0.9377 data_time: 0.0195 memory: 27783 loss: 0.1960 loss_text: 0.1350 loss_kernel: 0.0610 2022/11/01 20:39:36 - mmengine - INFO - Epoch(train) [175][60/63] lr: 1.0000e-04 eta: 17:30:05 time: 0.9114 data_time: 0.0204 memory: 27783 loss: 0.2062 loss_text: 0.1422 loss_kernel: 0.0640 2022/11/01 20:39:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:41:19 - mmengine - INFO - Epoch(train) [176][5/63] lr: 1.0000e-04 eta: 17:30:05 time: 10.4635 data_time: 9.5775 memory: 27783 loss: 0.2435 loss_text: 0.1675 loss_kernel: 0.0760 2022/11/01 20:41:23 - mmengine - INFO - Epoch(train) [176][10/63] lr: 1.0000e-04 eta: 17:32:35 time: 10.5046 data_time: 9.5870 memory: 27783 loss: 0.2390 loss_text: 0.1663 loss_kernel: 0.0727 2022/11/01 20:41:28 - mmengine - INFO - Epoch(train) [176][15/63] lr: 1.0000e-04 eta: 17:32:35 time: 0.9216 data_time: 0.0194 memory: 27783 loss: 0.2376 loss_text: 0.1658 loss_kernel: 0.0718 2022/11/01 20:41:33 - mmengine - INFO - Epoch(train) [176][20/63] lr: 1.0000e-04 eta: 17:31:37 time: 0.9389 data_time: 0.0183 memory: 27783 loss: 0.2125 loss_text: 0.1464 loss_kernel: 0.0661 2022/11/01 20:41:37 - mmengine - INFO - Epoch(train) [176][25/63] lr: 1.0000e-04 eta: 17:31:37 time: 0.9463 data_time: 0.0262 memory: 27783 loss: 0.2076 loss_text: 0.1427 loss_kernel: 0.0649 2022/11/01 20:41:42 - mmengine - INFO - Epoch(train) [176][30/63] lr: 1.0000e-04 eta: 17:30:38 time: 0.9165 data_time: 0.0175 memory: 27783 loss: 0.2350 loss_text: 0.1630 loss_kernel: 0.0720 2022/11/01 20:41:46 - mmengine - INFO - Epoch(train) [176][35/63] lr: 1.0000e-04 eta: 17:30:38 time: 0.8971 data_time: 0.0198 memory: 27783 loss: 0.2389 loss_text: 0.1661 loss_kernel: 0.0728 2022/11/01 20:41:51 - mmengine - INFO - Epoch(train) [176][40/63] lr: 1.0000e-04 eta: 17:29:40 time: 0.9022 data_time: 0.0194 memory: 27783 loss: 0.2537 loss_text: 0.1764 loss_kernel: 0.0773 2022/11/01 20:41:56 - mmengine - INFO - Epoch(train) [176][45/63] lr: 1.0000e-04 eta: 17:29:40 time: 0.9694 data_time: 0.0205 memory: 27783 loss: 0.2477 loss_text: 0.1724 loss_kernel: 0.0753 2022/11/01 20:42:01 - mmengine - INFO - Epoch(train) [176][50/63] lr: 1.0000e-04 eta: 17:28:44 time: 1.0077 data_time: 0.0312 memory: 27783 loss: 0.2192 loss_text: 0.1512 loss_kernel: 0.0679 2022/11/01 20:42:06 - mmengine - INFO - Epoch(train) [176][55/63] lr: 1.0000e-04 eta: 17:28:44 time: 0.9628 data_time: 0.0193 memory: 27783 loss: 0.1868 loss_text: 0.1276 loss_kernel: 0.0591 2022/11/01 20:42:10 - mmengine - INFO - Epoch(train) [176][60/63] lr: 1.0000e-04 eta: 17:27:46 time: 0.9334 data_time: 0.0157 memory: 27783 loss: 0.1892 loss_text: 0.1298 loss_kernel: 0.0593 2022/11/01 20:42:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:43:52 - mmengine - INFO - Epoch(train) [177][5/63] lr: 1.0000e-04 eta: 17:27:46 time: 10.3359 data_time: 9.4676 memory: 27783 loss: 0.1971 loss_text: 0.1349 loss_kernel: 0.0622 2022/11/01 20:43:57 - mmengine - INFO - Epoch(train) [177][10/63] lr: 1.0000e-04 eta: 17:30:12 time: 10.3936 data_time: 9.4780 memory: 27783 loss: 0.2256 loss_text: 0.1551 loss_kernel: 0.0705 2022/11/01 20:44:01 - mmengine - INFO - Epoch(train) [177][15/63] lr: 1.0000e-04 eta: 17:30:12 time: 0.9096 data_time: 0.0224 memory: 27783 loss: 0.2382 loss_text: 0.1650 loss_kernel: 0.0732 2022/11/01 20:44:06 - mmengine - INFO - Epoch(train) [177][20/63] lr: 1.0000e-04 eta: 17:29:13 time: 0.9030 data_time: 0.0168 memory: 27783 loss: 0.2362 loss_text: 0.1640 loss_kernel: 0.0722 2022/11/01 20:44:10 - mmengine - INFO - Epoch(train) [177][25/63] lr: 1.0000e-04 eta: 17:29:13 time: 0.9120 data_time: 0.0224 memory: 27783 loss: 0.1969 loss_text: 0.1352 loss_kernel: 0.0617 2022/11/01 20:44:15 - mmengine - INFO - Epoch(train) [177][30/63] lr: 1.0000e-04 eta: 17:28:15 time: 0.9027 data_time: 0.0190 memory: 27783 loss: 0.2138 loss_text: 0.1478 loss_kernel: 0.0659 2022/11/01 20:44:19 - mmengine - INFO - Epoch(train) [177][35/63] lr: 1.0000e-04 eta: 17:28:15 time: 0.9159 data_time: 0.0169 memory: 27783 loss: 0.2776 loss_text: 0.1934 loss_kernel: 0.0842 2022/11/01 20:44:25 - mmengine - INFO - Epoch(train) [177][40/63] lr: 1.0000e-04 eta: 17:27:20 time: 1.0553 data_time: 0.0192 memory: 27783 loss: 0.2438 loss_text: 0.1688 loss_kernel: 0.0750 2022/11/01 20:44:30 - mmengine - INFO - Epoch(train) [177][45/63] lr: 1.0000e-04 eta: 17:27:20 time: 1.0405 data_time: 0.0183 memory: 27783 loss: 0.1943 loss_text: 0.1336 loss_kernel: 0.0607 2022/11/01 20:44:34 - mmengine - INFO - Epoch(train) [177][50/63] lr: 1.0000e-04 eta: 17:26:22 time: 0.9163 data_time: 0.0243 memory: 27783 loss: 0.1745 loss_text: 0.1193 loss_kernel: 0.0552 2022/11/01 20:44:39 - mmengine - INFO - Epoch(train) [177][55/63] lr: 1.0000e-04 eta: 17:26:22 time: 0.9164 data_time: 0.0245 memory: 27783 loss: 0.1679 loss_text: 0.1150 loss_kernel: 0.0529 2022/11/01 20:44:43 - mmengine - INFO - Epoch(train) [177][60/63] lr: 1.0000e-04 eta: 17:25:24 time: 0.9061 data_time: 0.0169 memory: 27783 loss: 0.2187 loss_text: 0.1514 loss_kernel: 0.0673 2022/11/01 20:44:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:46:26 - mmengine - INFO - Epoch(train) [178][5/63] lr: 1.0000e-04 eta: 17:25:24 time: 10.3825 data_time: 9.5226 memory: 27783 loss: 0.1884 loss_text: 0.1297 loss_kernel: 0.0587 2022/11/01 20:46:30 - mmengine - INFO - Epoch(train) [178][10/63] lr: 1.0000e-04 eta: 17:27:50 time: 10.4679 data_time: 9.5276 memory: 27783 loss: 0.1989 loss_text: 0.1382 loss_kernel: 0.0607 2022/11/01 20:46:36 - mmengine - INFO - Epoch(train) [178][15/63] lr: 1.0000e-04 eta: 17:27:50 time: 0.9963 data_time: 0.0194 memory: 27783 loss: 0.2338 loss_text: 0.1622 loss_kernel: 0.0715 2022/11/01 20:46:40 - mmengine - INFO - Epoch(train) [178][20/63] lr: 1.0000e-04 eta: 17:26:53 time: 0.9756 data_time: 0.0237 memory: 27783 loss: 0.2308 loss_text: 0.1584 loss_kernel: 0.0724 2022/11/01 20:46:45 - mmengine - INFO - Epoch(train) [178][25/63] lr: 1.0000e-04 eta: 17:26:53 time: 0.9179 data_time: 0.0206 memory: 27783 loss: 0.2195 loss_text: 0.1499 loss_kernel: 0.0696 2022/11/01 20:46:50 - mmengine - INFO - Epoch(train) [178][30/63] lr: 1.0000e-04 eta: 17:25:56 time: 0.9318 data_time: 0.0193 memory: 27783 loss: 0.2269 loss_text: 0.1547 loss_kernel: 0.0721 2022/11/01 20:46:54 - mmengine - INFO - Epoch(train) [178][35/63] lr: 1.0000e-04 eta: 17:25:56 time: 0.9396 data_time: 0.0292 memory: 27783 loss: 0.2152 loss_text: 0.1473 loss_kernel: 0.0679 2022/11/01 20:46:59 - mmengine - INFO - Epoch(train) [178][40/63] lr: 1.0000e-04 eta: 17:24:59 time: 0.9599 data_time: 0.0201 memory: 27783 loss: 0.1836 loss_text: 0.1275 loss_kernel: 0.0561 2022/11/01 20:47:04 - mmengine - INFO - Epoch(train) [178][45/63] lr: 1.0000e-04 eta: 17:24:59 time: 0.9779 data_time: 0.0195 memory: 27783 loss: 0.1764 loss_text: 0.1227 loss_kernel: 0.0537 2022/11/01 20:47:08 - mmengine - INFO - Epoch(train) [178][50/63] lr: 1.0000e-04 eta: 17:24:01 time: 0.9290 data_time: 0.0232 memory: 27783 loss: 0.2194 loss_text: 0.1505 loss_kernel: 0.0690 2022/11/01 20:47:13 - mmengine - INFO - Epoch(train) [178][55/63] lr: 1.0000e-04 eta: 17:24:01 time: 0.9035 data_time: 0.0196 memory: 27783 loss: 0.2597 loss_text: 0.1791 loss_kernel: 0.0806 2022/11/01 20:47:17 - mmengine - INFO - Epoch(train) [178][60/63] lr: 1.0000e-04 eta: 17:23:04 time: 0.9093 data_time: 0.0195 memory: 27783 loss: 0.2310 loss_text: 0.1607 loss_kernel: 0.0703 2022/11/01 20:47:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:49:00 - mmengine - INFO - Epoch(train) [179][5/63] lr: 1.0000e-04 eta: 17:23:04 time: 10.3725 data_time: 9.4752 memory: 27783 loss: 0.2093 loss_text: 0.1462 loss_kernel: 0.0631 2022/11/01 20:49:04 - mmengine - INFO - Epoch(train) [179][10/63] lr: 1.0000e-04 eta: 17:25:27 time: 10.4318 data_time: 9.4856 memory: 27783 loss: 0.2028 loss_text: 0.1401 loss_kernel: 0.0627 2022/11/01 20:49:09 - mmengine - INFO - Epoch(train) [179][15/63] lr: 1.0000e-04 eta: 17:25:27 time: 0.9578 data_time: 0.0226 memory: 27783 loss: 0.2008 loss_text: 0.1388 loss_kernel: 0.0621 2022/11/01 20:49:14 - mmengine - INFO - Epoch(train) [179][20/63] lr: 1.0000e-04 eta: 17:24:31 time: 0.9639 data_time: 0.0321 memory: 27783 loss: 0.2081 loss_text: 0.1433 loss_kernel: 0.0648 2022/11/01 20:49:19 - mmengine - INFO - Epoch(train) [179][25/63] lr: 1.0000e-04 eta: 17:24:31 time: 0.9823 data_time: 0.0452 memory: 27783 loss: 0.2183 loss_text: 0.1501 loss_kernel: 0.0683 2022/11/01 20:49:24 - mmengine - INFO - Epoch(train) [179][30/63] lr: 1.0000e-04 eta: 17:23:34 time: 0.9518 data_time: 0.0203 memory: 27783 loss: 0.2219 loss_text: 0.1544 loss_kernel: 0.0675 2022/11/01 20:49:28 - mmengine - INFO - Epoch(train) [179][35/63] lr: 1.0000e-04 eta: 17:23:34 time: 0.9248 data_time: 0.0193 memory: 27783 loss: 0.2460 loss_text: 0.1722 loss_kernel: 0.0739 2022/11/01 20:49:33 - mmengine - INFO - Epoch(train) [179][40/63] lr: 1.0000e-04 eta: 17:22:36 time: 0.9132 data_time: 0.0194 memory: 27783 loss: 0.2438 loss_text: 0.1688 loss_kernel: 0.0750 2022/11/01 20:49:38 - mmengine - INFO - Epoch(train) [179][45/63] lr: 1.0000e-04 eta: 17:22:36 time: 0.9396 data_time: 0.0161 memory: 27783 loss: 0.2204 loss_text: 0.1525 loss_kernel: 0.0679 2022/11/01 20:49:42 - mmengine - INFO - Epoch(train) [179][50/63] lr: 1.0000e-04 eta: 17:21:39 time: 0.9415 data_time: 0.0268 memory: 27783 loss: 0.2152 loss_text: 0.1500 loss_kernel: 0.0652 2022/11/01 20:49:47 - mmengine - INFO - Epoch(train) [179][55/63] lr: 1.0000e-04 eta: 17:21:39 time: 0.9069 data_time: 0.0164 memory: 27783 loss: 0.2037 loss_text: 0.1406 loss_kernel: 0.0631 2022/11/01 20:49:51 - mmengine - INFO - Epoch(train) [179][60/63] lr: 1.0000e-04 eta: 17:20:42 time: 0.8968 data_time: 0.0142 memory: 27783 loss: 0.2267 loss_text: 0.1559 loss_kernel: 0.0708 2022/11/01 20:49:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:51:34 - mmengine - INFO - Epoch(train) [180][5/63] lr: 1.0000e-04 eta: 17:20:42 time: 10.4246 data_time: 9.5826 memory: 27783 loss: 0.2371 loss_text: 0.1647 loss_kernel: 0.0724 2022/11/01 20:51:39 - mmengine - INFO - Epoch(train) [180][10/63] lr: 1.0000e-04 eta: 17:23:06 time: 10.5071 data_time: 9.5971 memory: 27783 loss: 0.2131 loss_text: 0.1462 loss_kernel: 0.0670 2022/11/01 20:51:43 - mmengine - INFO - Epoch(train) [180][15/63] lr: 1.0000e-04 eta: 17:23:06 time: 0.9317 data_time: 0.0204 memory: 27783 loss: 0.2043 loss_text: 0.1389 loss_kernel: 0.0654 2022/11/01 20:51:48 - mmengine - INFO - Epoch(train) [180][20/63] lr: 1.0000e-04 eta: 17:22:10 time: 0.9714 data_time: 0.0178 memory: 27783 loss: 0.2145 loss_text: 0.1476 loss_kernel: 0.0669 2022/11/01 20:51:53 - mmengine - INFO - Epoch(train) [180][25/63] lr: 1.0000e-04 eta: 17:22:10 time: 0.9812 data_time: 0.0210 memory: 27783 loss: 0.2070 loss_text: 0.1427 loss_kernel: 0.0643 2022/11/01 20:51:58 - mmengine - INFO - Epoch(train) [180][30/63] lr: 1.0000e-04 eta: 17:21:13 time: 0.9311 data_time: 0.0195 memory: 27783 loss: 0.2163 loss_text: 0.1495 loss_kernel: 0.0668 2022/11/01 20:52:02 - mmengine - INFO - Epoch(train) [180][35/63] lr: 1.0000e-04 eta: 17:21:13 time: 0.9175 data_time: 0.0265 memory: 27783 loss: 0.2311 loss_text: 0.1609 loss_kernel: 0.0702 2022/11/01 20:52:07 - mmengine - INFO - Epoch(train) [180][40/63] lr: 1.0000e-04 eta: 17:20:15 time: 0.8997 data_time: 0.0186 memory: 27783 loss: 0.2007 loss_text: 0.1387 loss_kernel: 0.0620 2022/11/01 20:52:11 - mmengine - INFO - Epoch(train) [180][45/63] lr: 1.0000e-04 eta: 17:20:15 time: 0.9082 data_time: 0.0187 memory: 27783 loss: 0.1888 loss_text: 0.1312 loss_kernel: 0.0576 2022/11/01 20:52:16 - mmengine - INFO - Epoch(train) [180][50/63] lr: 1.0000e-04 eta: 17:19:18 time: 0.9185 data_time: 0.0227 memory: 27783 loss: 0.2026 loss_text: 0.1409 loss_kernel: 0.0617 2022/11/01 20:52:20 - mmengine - INFO - Epoch(train) [180][55/63] lr: 1.0000e-04 eta: 17:19:18 time: 0.9100 data_time: 0.0148 memory: 27783 loss: 0.2378 loss_text: 0.1637 loss_kernel: 0.0741 2022/11/01 20:52:25 - mmengine - INFO - Epoch(train) [180][60/63] lr: 1.0000e-04 eta: 17:18:22 time: 0.9610 data_time: 0.0177 memory: 27783 loss: 0.2282 loss_text: 0.1579 loss_kernel: 0.0703 2022/11/01 20:52:28 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:52:28 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/11/01 20:54:13 - mmengine - INFO - Epoch(train) [181][5/63] lr: 1.0000e-04 eta: 17:18:22 time: 10.3747 data_time: 9.4849 memory: 27783 loss: 0.2183 loss_text: 0.1511 loss_kernel: 0.0672 2022/11/01 20:54:17 - mmengine - INFO - Epoch(train) [181][10/63] lr: 1.0000e-04 eta: 17:20:42 time: 10.4121 data_time: 9.4884 memory: 27783 loss: 0.2329 loss_text: 0.1610 loss_kernel: 0.0720 2022/11/01 20:54:22 - mmengine - INFO - Epoch(train) [181][15/63] lr: 1.0000e-04 eta: 17:20:42 time: 0.9342 data_time: 0.0194 memory: 27783 loss: 0.2168 loss_text: 0.1500 loss_kernel: 0.0668 2022/11/01 20:54:26 - mmengine - INFO - Epoch(train) [181][20/63] lr: 1.0000e-04 eta: 17:19:45 time: 0.8994 data_time: 0.0190 memory: 27783 loss: 0.2339 loss_text: 0.1611 loss_kernel: 0.0728 2022/11/01 20:54:31 - mmengine - INFO - Epoch(train) [181][25/63] lr: 1.0000e-04 eta: 17:19:45 time: 0.9143 data_time: 0.0230 memory: 27783 loss: 0.2192 loss_text: 0.1519 loss_kernel: 0.0673 2022/11/01 20:54:36 - mmengine - INFO - Epoch(train) [181][30/63] lr: 1.0000e-04 eta: 17:18:48 time: 0.9403 data_time: 0.0174 memory: 27783 loss: 0.2630 loss_text: 0.1838 loss_kernel: 0.0792 2022/11/01 20:54:40 - mmengine - INFO - Epoch(train) [181][35/63] lr: 1.0000e-04 eta: 17:18:48 time: 0.9364 data_time: 0.0198 memory: 27783 loss: 0.2834 loss_text: 0.1960 loss_kernel: 0.0873 2022/11/01 20:54:46 - mmengine - INFO - Epoch(train) [181][40/63] lr: 1.0000e-04 eta: 17:17:53 time: 0.9917 data_time: 0.0193 memory: 27783 loss: 0.2328 loss_text: 0.1596 loss_kernel: 0.0732 2022/11/01 20:54:50 - mmengine - INFO - Epoch(train) [181][45/63] lr: 1.0000e-04 eta: 17:17:53 time: 0.9996 data_time: 0.0243 memory: 27783 loss: 0.1973 loss_text: 0.1350 loss_kernel: 0.0623 2022/11/01 20:54:55 - mmengine - INFO - Epoch(train) [181][50/63] lr: 1.0000e-04 eta: 17:16:56 time: 0.9224 data_time: 0.0289 memory: 27783 loss: 0.1816 loss_text: 0.1251 loss_kernel: 0.0565 2022/11/01 20:55:00 - mmengine - INFO - Epoch(train) [181][55/63] lr: 1.0000e-04 eta: 17:16:56 time: 0.9135 data_time: 0.0192 memory: 27783 loss: 0.1948 loss_text: 0.1347 loss_kernel: 0.0602 2022/11/01 20:55:04 - mmengine - INFO - Epoch(train) [181][60/63] lr: 1.0000e-04 eta: 17:15:59 time: 0.9218 data_time: 0.0188 memory: 27783 loss: 0.1899 loss_text: 0.1309 loss_kernel: 0.0590 2022/11/01 20:55:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:56:46 - mmengine - INFO - Epoch(train) [182][5/63] lr: 1.0000e-04 eta: 17:15:59 time: 10.3507 data_time: 9.4853 memory: 27783 loss: 0.2174 loss_text: 0.1501 loss_kernel: 0.0673 2022/11/01 20:56:51 - mmengine - INFO - Epoch(train) [182][10/63] lr: 1.0000e-04 eta: 17:18:18 time: 10.3853 data_time: 9.4970 memory: 27783 loss: 0.1731 loss_text: 0.1195 loss_kernel: 0.0537 2022/11/01 20:56:55 - mmengine - INFO - Epoch(train) [182][15/63] lr: 1.0000e-04 eta: 17:18:18 time: 0.9173 data_time: 0.0253 memory: 27783 loss: 0.1824 loss_text: 0.1258 loss_kernel: 0.0566 2022/11/01 20:57:00 - mmengine - INFO - Epoch(train) [182][20/63] lr: 1.0000e-04 eta: 17:17:21 time: 0.9120 data_time: 0.0224 memory: 27783 loss: 0.2580 loss_text: 0.1802 loss_kernel: 0.0778 2022/11/01 20:57:05 - mmengine - INFO - Epoch(train) [182][25/63] lr: 1.0000e-04 eta: 17:17:21 time: 0.9643 data_time: 0.0210 memory: 27783 loss: 0.2465 loss_text: 0.1719 loss_kernel: 0.0746 2022/11/01 20:57:09 - mmengine - INFO - Epoch(train) [182][30/63] lr: 1.0000e-04 eta: 17:16:25 time: 0.9640 data_time: 0.0184 memory: 27783 loss: 0.2081 loss_text: 0.1439 loss_kernel: 0.0642 2022/11/01 20:57:14 - mmengine - INFO - Epoch(train) [182][35/63] lr: 1.0000e-04 eta: 17:16:25 time: 0.9182 data_time: 0.0261 memory: 27783 loss: 0.2057 loss_text: 0.1428 loss_kernel: 0.0630 2022/11/01 20:57:18 - mmengine - INFO - Epoch(train) [182][40/63] lr: 1.0000e-04 eta: 17:15:28 time: 0.9182 data_time: 0.0171 memory: 27783 loss: 0.1997 loss_text: 0.1377 loss_kernel: 0.0620 2022/11/01 20:57:23 - mmengine - INFO - Epoch(train) [182][45/63] lr: 1.0000e-04 eta: 17:15:28 time: 0.9028 data_time: 0.0172 memory: 27783 loss: 0.2126 loss_text: 0.1464 loss_kernel: 0.0662 2022/11/01 20:57:28 - mmengine - INFO - Epoch(train) [182][50/63] lr: 1.0000e-04 eta: 17:14:32 time: 0.9185 data_time: 0.0288 memory: 27783 loss: 0.2201 loss_text: 0.1512 loss_kernel: 0.0689 2022/11/01 20:57:32 - mmengine - INFO - Epoch(train) [182][55/63] lr: 1.0000e-04 eta: 17:14:32 time: 0.9032 data_time: 0.0176 memory: 27783 loss: 0.2198 loss_text: 0.1516 loss_kernel: 0.0682 2022/11/01 20:57:37 - mmengine - INFO - Epoch(train) [182][60/63] lr: 1.0000e-04 eta: 17:13:35 time: 0.8962 data_time: 0.0133 memory: 27783 loss: 0.2365 loss_text: 0.1653 loss_kernel: 0.0713 2022/11/01 20:57:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 20:59:19 - mmengine - INFO - Epoch(train) [183][5/63] lr: 1.0000e-04 eta: 17:13:35 time: 10.4016 data_time: 9.5002 memory: 27783 loss: 0.2090 loss_text: 0.1448 loss_kernel: 0.0642 2022/11/01 20:59:24 - mmengine - INFO - Epoch(train) [183][10/63] lr: 1.0000e-04 eta: 17:15:54 time: 10.4525 data_time: 9.5106 memory: 27783 loss: 0.2347 loss_text: 0.1637 loss_kernel: 0.0710 2022/11/01 20:59:28 - mmengine - INFO - Epoch(train) [183][15/63] lr: 1.0000e-04 eta: 17:15:54 time: 0.9199 data_time: 0.0186 memory: 27783 loss: 0.2486 loss_text: 0.1735 loss_kernel: 0.0750 2022/11/01 20:59:33 - mmengine - INFO - Epoch(train) [183][20/63] lr: 1.0000e-04 eta: 17:14:57 time: 0.9371 data_time: 0.0186 memory: 27783 loss: 0.2361 loss_text: 0.1645 loss_kernel: 0.0716 2022/11/01 20:59:38 - mmengine - INFO - Epoch(train) [183][25/63] lr: 1.0000e-04 eta: 17:14:57 time: 0.9367 data_time: 0.0235 memory: 27783 loss: 0.2339 loss_text: 0.1639 loss_kernel: 0.0700 2022/11/01 20:59:42 - mmengine - INFO - Epoch(train) [183][30/63] lr: 1.0000e-04 eta: 17:14:01 time: 0.9095 data_time: 0.0180 memory: 27783 loss: 0.1985 loss_text: 0.1384 loss_kernel: 0.0602 2022/11/01 20:59:47 - mmengine - INFO - Epoch(train) [183][35/63] lr: 1.0000e-04 eta: 17:14:01 time: 0.9363 data_time: 0.0227 memory: 27783 loss: 0.1977 loss_text: 0.1367 loss_kernel: 0.0610 2022/11/01 20:59:51 - mmengine - INFO - Epoch(train) [183][40/63] lr: 1.0000e-04 eta: 17:13:04 time: 0.9391 data_time: 0.0193 memory: 27783 loss: 0.2482 loss_text: 0.1718 loss_kernel: 0.0763 2022/11/01 20:59:56 - mmengine - INFO - Epoch(train) [183][45/63] lr: 1.0000e-04 eta: 17:13:04 time: 0.9186 data_time: 0.0202 memory: 27783 loss: 0.2598 loss_text: 0.1799 loss_kernel: 0.0799 2022/11/01 21:00:00 - mmengine - INFO - Epoch(train) [183][50/63] lr: 1.0000e-04 eta: 17:12:08 time: 0.9020 data_time: 0.0256 memory: 27783 loss: 0.2409 loss_text: 0.1673 loss_kernel: 0.0737 2022/11/01 21:00:05 - mmengine - INFO - Epoch(train) [183][55/63] lr: 1.0000e-04 eta: 17:12:08 time: 0.9079 data_time: 0.0175 memory: 27783 loss: 0.2306 loss_text: 0.1606 loss_kernel: 0.0700 2022/11/01 21:00:10 - mmengine - INFO - Epoch(train) [183][60/63] lr: 1.0000e-04 eta: 17:11:13 time: 0.9712 data_time: 0.0177 memory: 27783 loss: 0.2368 loss_text: 0.1641 loss_kernel: 0.0727 2022/11/01 21:00:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:01:52 - mmengine - INFO - Epoch(train) [184][5/63] lr: 1.0000e-04 eta: 17:11:13 time: 10.3299 data_time: 9.4937 memory: 27783 loss: 0.2227 loss_text: 0.1556 loss_kernel: 0.0671 2022/11/01 21:01:57 - mmengine - INFO - Epoch(train) [184][10/63] lr: 1.0000e-04 eta: 17:13:29 time: 10.3994 data_time: 9.4982 memory: 27783 loss: 0.1885 loss_text: 0.1301 loss_kernel: 0.0583 2022/11/01 21:02:01 - mmengine - INFO - Epoch(train) [184][15/63] lr: 1.0000e-04 eta: 17:13:29 time: 0.9495 data_time: 0.0243 memory: 27783 loss: 0.1642 loss_text: 0.1123 loss_kernel: 0.0519 2022/11/01 21:02:06 - mmengine - INFO - Epoch(train) [184][20/63] lr: 1.0000e-04 eta: 17:12:33 time: 0.9387 data_time: 0.0233 memory: 27783 loss: 0.2221 loss_text: 0.1542 loss_kernel: 0.0679 2022/11/01 21:02:10 - mmengine - INFO - Epoch(train) [184][25/63] lr: 1.0000e-04 eta: 17:12:33 time: 0.9097 data_time: 0.0215 memory: 27783 loss: 0.2477 loss_text: 0.1724 loss_kernel: 0.0753 2022/11/01 21:02:15 - mmengine - INFO - Epoch(train) [184][30/63] lr: 1.0000e-04 eta: 17:11:37 time: 0.9288 data_time: 0.0250 memory: 27783 loss: 0.2542 loss_text: 0.1766 loss_kernel: 0.0775 2022/11/01 21:02:20 - mmengine - INFO - Epoch(train) [184][35/63] lr: 1.0000e-04 eta: 17:11:37 time: 0.9436 data_time: 0.0212 memory: 27783 loss: 0.2406 loss_text: 0.1668 loss_kernel: 0.0738 2022/11/01 21:02:24 - mmengine - INFO - Epoch(train) [184][40/63] lr: 1.0000e-04 eta: 17:10:41 time: 0.9173 data_time: 0.0181 memory: 27783 loss: 0.2318 loss_text: 0.1593 loss_kernel: 0.0724 2022/11/01 21:02:29 - mmengine - INFO - Epoch(train) [184][45/63] lr: 1.0000e-04 eta: 17:10:41 time: 0.8970 data_time: 0.0229 memory: 27783 loss: 0.1932 loss_text: 0.1313 loss_kernel: 0.0619 2022/11/01 21:02:33 - mmengine - INFO - Epoch(train) [184][50/63] lr: 1.0000e-04 eta: 17:09:44 time: 0.9001 data_time: 0.0215 memory: 27783 loss: 0.1891 loss_text: 0.1286 loss_kernel: 0.0604 2022/11/01 21:02:38 - mmengine - INFO - Epoch(train) [184][55/63] lr: 1.0000e-04 eta: 17:09:44 time: 0.9070 data_time: 0.0178 memory: 27783 loss: 0.2265 loss_text: 0.1560 loss_kernel: 0.0706 2022/11/01 21:02:42 - mmengine - INFO - Epoch(train) [184][60/63] lr: 1.0000e-04 eta: 17:08:48 time: 0.9042 data_time: 0.0177 memory: 27783 loss: 0.2443 loss_text: 0.1696 loss_kernel: 0.0747 2022/11/01 21:02:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:04:24 - mmengine - INFO - Epoch(train) [185][5/63] lr: 1.0000e-04 eta: 17:08:48 time: 10.3675 data_time: 9.4925 memory: 27783 loss: 0.2371 loss_text: 0.1641 loss_kernel: 0.0730 2022/11/01 21:04:29 - mmengine - INFO - Epoch(train) [185][10/63] lr: 1.0000e-04 eta: 17:11:04 time: 10.4503 data_time: 9.5058 memory: 27783 loss: 0.1876 loss_text: 0.1295 loss_kernel: 0.0581 2022/11/01 21:04:35 - mmengine - INFO - Epoch(train) [185][15/63] lr: 1.0000e-04 eta: 17:11:04 time: 1.0033 data_time: 0.0240 memory: 27783 loss: 0.1821 loss_text: 0.1254 loss_kernel: 0.0567 2022/11/01 21:04:39 - mmengine - INFO - Epoch(train) [185][20/63] lr: 1.0000e-04 eta: 17:10:09 time: 0.9822 data_time: 0.0203 memory: 27783 loss: 0.2041 loss_text: 0.1414 loss_kernel: 0.0627 2022/11/01 21:04:44 - mmengine - INFO - Epoch(train) [185][25/63] lr: 1.0000e-04 eta: 17:10:09 time: 0.9231 data_time: 0.0271 memory: 27783 loss: 0.2088 loss_text: 0.1443 loss_kernel: 0.0645 2022/11/01 21:04:48 - mmengine - INFO - Epoch(train) [185][30/63] lr: 1.0000e-04 eta: 17:09:13 time: 0.9181 data_time: 0.0173 memory: 27783 loss: 0.2125 loss_text: 0.1467 loss_kernel: 0.0658 2022/11/01 21:04:53 - mmengine - INFO - Epoch(train) [185][35/63] lr: 1.0000e-04 eta: 17:09:13 time: 0.9293 data_time: 0.0191 memory: 27783 loss: 0.2271 loss_text: 0.1560 loss_kernel: 0.0711 2022/11/01 21:04:58 - mmengine - INFO - Epoch(train) [185][40/63] lr: 1.0000e-04 eta: 17:08:18 time: 0.9385 data_time: 0.0191 memory: 27783 loss: 0.2660 loss_text: 0.1831 loss_kernel: 0.0829 2022/11/01 21:05:02 - mmengine - INFO - Epoch(train) [185][45/63] lr: 1.0000e-04 eta: 17:08:18 time: 0.9293 data_time: 0.0192 memory: 27783 loss: 0.2333 loss_text: 0.1611 loss_kernel: 0.0721 2022/11/01 21:05:07 - mmengine - INFO - Epoch(train) [185][50/63] lr: 1.0000e-04 eta: 17:07:22 time: 0.9291 data_time: 0.0283 memory: 27783 loss: 0.2013 loss_text: 0.1392 loss_kernel: 0.0622 2022/11/01 21:05:12 - mmengine - INFO - Epoch(train) [185][55/63] lr: 1.0000e-04 eta: 17:07:22 time: 0.9378 data_time: 0.0193 memory: 27783 loss: 0.2234 loss_text: 0.1551 loss_kernel: 0.0683 2022/11/01 21:05:16 - mmengine - INFO - Epoch(train) [185][60/63] lr: 1.0000e-04 eta: 17:06:26 time: 0.9283 data_time: 0.0172 memory: 27783 loss: 0.2316 loss_text: 0.1607 loss_kernel: 0.0709 2022/11/01 21:05:19 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:06:58 - mmengine - INFO - Epoch(train) [186][5/63] lr: 1.0000e-04 eta: 17:06:26 time: 10.3587 data_time: 9.4964 memory: 27783 loss: 0.1944 loss_text: 0.1336 loss_kernel: 0.0608 2022/11/01 21:07:03 - mmengine - INFO - Epoch(train) [186][10/63] lr: 1.0000e-04 eta: 17:08:41 time: 10.4228 data_time: 9.5126 memory: 27783 loss: 0.1719 loss_text: 0.1177 loss_kernel: 0.0542 2022/11/01 21:07:07 - mmengine - INFO - Epoch(train) [186][15/63] lr: 1.0000e-04 eta: 17:08:41 time: 0.9169 data_time: 0.0233 memory: 27783 loss: 0.1709 loss_text: 0.1175 loss_kernel: 0.0533 2022/11/01 21:07:12 - mmengine - INFO - Epoch(train) [186][20/63] lr: 1.0000e-04 eta: 17:07:44 time: 0.9039 data_time: 0.0191 memory: 27783 loss: 0.2076 loss_text: 0.1437 loss_kernel: 0.0640 2022/11/01 21:07:17 - mmengine - INFO - Epoch(train) [186][25/63] lr: 1.0000e-04 eta: 17:07:44 time: 0.9518 data_time: 0.0292 memory: 27783 loss: 0.1759 loss_text: 0.1208 loss_kernel: 0.0551 2022/11/01 21:07:22 - mmengine - INFO - Epoch(train) [186][30/63] lr: 1.0000e-04 eta: 17:06:49 time: 0.9566 data_time: 0.0157 memory: 27783 loss: 0.1945 loss_text: 0.1333 loss_kernel: 0.0613 2022/11/01 21:07:26 - mmengine - INFO - Epoch(train) [186][35/63] lr: 1.0000e-04 eta: 17:06:49 time: 0.9246 data_time: 0.0164 memory: 27783 loss: 0.2310 loss_text: 0.1604 loss_kernel: 0.0706 2022/11/01 21:07:31 - mmengine - INFO - Epoch(train) [186][40/63] lr: 1.0000e-04 eta: 17:05:54 time: 0.9451 data_time: 0.0185 memory: 27783 loss: 0.2295 loss_text: 0.1594 loss_kernel: 0.0701 2022/11/01 21:07:36 - mmengine - INFO - Epoch(train) [186][45/63] lr: 1.0000e-04 eta: 17:05:54 time: 0.9370 data_time: 0.0214 memory: 27783 loss: 0.2614 loss_text: 0.1822 loss_kernel: 0.0792 2022/11/01 21:07:40 - mmengine - INFO - Epoch(train) [186][50/63] lr: 1.0000e-04 eta: 17:04:59 time: 0.9277 data_time: 0.0336 memory: 27783 loss: 0.3072 loss_text: 0.2142 loss_kernel: 0.0929 2022/11/01 21:07:45 - mmengine - INFO - Epoch(train) [186][55/63] lr: 1.0000e-04 eta: 17:04:59 time: 0.9069 data_time: 0.0198 memory: 27783 loss: 0.3056 loss_text: 0.2127 loss_kernel: 0.0929 2022/11/01 21:07:49 - mmengine - INFO - Epoch(train) [186][60/63] lr: 1.0000e-04 eta: 17:04:02 time: 0.8813 data_time: 0.0142 memory: 27783 loss: 0.2448 loss_text: 0.1713 loss_kernel: 0.0735 2022/11/01 21:07:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:09:30 - mmengine - INFO - Epoch(train) [187][5/63] lr: 1.0000e-04 eta: 17:04:02 time: 10.2950 data_time: 9.4469 memory: 27783 loss: 0.2063 loss_text: 0.1415 loss_kernel: 0.0649 2022/11/01 21:09:35 - mmengine - INFO - Epoch(train) [187][10/63] lr: 1.0000e-04 eta: 17:06:14 time: 10.3777 data_time: 9.4605 memory: 27783 loss: 0.1978 loss_text: 0.1365 loss_kernel: 0.0612 2022/11/01 21:09:40 - mmengine - INFO - Epoch(train) [187][15/63] lr: 1.0000e-04 eta: 17:06:14 time: 0.9547 data_time: 0.0265 memory: 27783 loss: 0.2094 loss_text: 0.1449 loss_kernel: 0.0645 2022/11/01 21:09:45 - mmengine - INFO - Epoch(train) [187][20/63] lr: 1.0000e-04 eta: 17:05:19 time: 0.9294 data_time: 0.0202 memory: 27783 loss: 0.2160 loss_text: 0.1491 loss_kernel: 0.0669 2022/11/01 21:09:49 - mmengine - INFO - Epoch(train) [187][25/63] lr: 1.0000e-04 eta: 17:05:19 time: 0.8973 data_time: 0.0181 memory: 27783 loss: 0.2176 loss_text: 0.1509 loss_kernel: 0.0668 2022/11/01 21:09:53 - mmengine - INFO - Epoch(train) [187][30/63] lr: 1.0000e-04 eta: 17:04:23 time: 0.8894 data_time: 0.0172 memory: 27783 loss: 0.1818 loss_text: 0.1251 loss_kernel: 0.0567 2022/11/01 21:09:58 - mmengine - INFO - Epoch(train) [187][35/63] lr: 1.0000e-04 eta: 17:04:23 time: 0.8970 data_time: 0.0215 memory: 27783 loss: 0.1804 loss_text: 0.1227 loss_kernel: 0.0577 2022/11/01 21:10:02 - mmengine - INFO - Epoch(train) [187][40/63] lr: 1.0000e-04 eta: 17:03:27 time: 0.8961 data_time: 0.0183 memory: 27783 loss: 0.2232 loss_text: 0.1541 loss_kernel: 0.0691 2022/11/01 21:10:07 - mmengine - INFO - Epoch(train) [187][45/63] lr: 1.0000e-04 eta: 17:03:27 time: 0.9016 data_time: 0.0179 memory: 27783 loss: 0.2213 loss_text: 0.1526 loss_kernel: 0.0686 2022/11/01 21:10:12 - mmengine - INFO - Epoch(train) [187][50/63] lr: 1.0000e-04 eta: 17:02:32 time: 0.9681 data_time: 0.0253 memory: 27783 loss: 0.2023 loss_text: 0.1385 loss_kernel: 0.0638 2022/11/01 21:10:17 - mmengine - INFO - Epoch(train) [187][55/63] lr: 1.0000e-04 eta: 17:02:32 time: 0.9679 data_time: 0.0203 memory: 27783 loss: 0.2257 loss_text: 0.1558 loss_kernel: 0.0699 2022/11/01 21:10:21 - mmengine - INFO - Epoch(train) [187][60/63] lr: 1.0000e-04 eta: 17:01:37 time: 0.9274 data_time: 0.0170 memory: 27783 loss: 0.2362 loss_text: 0.1626 loss_kernel: 0.0736 2022/11/01 21:10:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:12:03 - mmengine - INFO - Epoch(train) [188][5/63] lr: 1.0000e-04 eta: 17:01:37 time: 10.3006 data_time: 9.4532 memory: 27783 loss: 0.2067 loss_text: 0.1423 loss_kernel: 0.0645 2022/11/01 21:12:08 - mmengine - INFO - Epoch(train) [188][10/63] lr: 1.0000e-04 eta: 17:03:48 time: 10.3829 data_time: 9.4655 memory: 27783 loss: 0.1921 loss_text: 0.1334 loss_kernel: 0.0587 2022/11/01 21:12:12 - mmengine - INFO - Epoch(train) [188][15/63] lr: 1.0000e-04 eta: 17:03:48 time: 0.9753 data_time: 0.0236 memory: 27783 loss: 0.2272 loss_text: 0.1588 loss_kernel: 0.0683 2022/11/01 21:12:17 - mmengine - INFO - Epoch(train) [188][20/63] lr: 1.0000e-04 eta: 17:02:54 time: 0.9727 data_time: 0.0197 memory: 27783 loss: 0.2427 loss_text: 0.1689 loss_kernel: 0.0738 2022/11/01 21:12:22 - mmengine - INFO - Epoch(train) [188][25/63] lr: 1.0000e-04 eta: 17:02:54 time: 0.9590 data_time: 0.0323 memory: 27783 loss: 0.2087 loss_text: 0.1444 loss_kernel: 0.0643 2022/11/01 21:12:27 - mmengine - INFO - Epoch(train) [188][30/63] lr: 1.0000e-04 eta: 17:01:59 time: 0.9374 data_time: 0.0194 memory: 27783 loss: 0.1930 loss_text: 0.1326 loss_kernel: 0.0604 2022/11/01 21:12:31 - mmengine - INFO - Epoch(train) [188][35/63] lr: 1.0000e-04 eta: 17:01:59 time: 0.9277 data_time: 0.0178 memory: 27783 loss: 0.2040 loss_text: 0.1409 loss_kernel: 0.0631 2022/11/01 21:12:36 - mmengine - INFO - Epoch(train) [188][40/63] lr: 1.0000e-04 eta: 17:01:04 time: 0.9212 data_time: 0.0194 memory: 27783 loss: 0.2005 loss_text: 0.1386 loss_kernel: 0.0619 2022/11/01 21:12:40 - mmengine - INFO - Epoch(train) [188][45/63] lr: 1.0000e-04 eta: 17:01:04 time: 0.9077 data_time: 0.0165 memory: 27783 loss: 0.1920 loss_text: 0.1329 loss_kernel: 0.0591 2022/11/01 21:12:45 - mmengine - INFO - Epoch(train) [188][50/63] lr: 1.0000e-04 eta: 17:00:09 time: 0.9226 data_time: 0.0265 memory: 27783 loss: 0.1929 loss_text: 0.1331 loss_kernel: 0.0599 2022/11/01 21:12:50 - mmengine - INFO - Epoch(train) [188][55/63] lr: 1.0000e-04 eta: 17:00:09 time: 0.9196 data_time: 0.0172 memory: 27783 loss: 0.1862 loss_text: 0.1270 loss_kernel: 0.0592 2022/11/01 21:12:54 - mmengine - INFO - Epoch(train) [188][60/63] lr: 1.0000e-04 eta: 16:59:13 time: 0.8933 data_time: 0.0133 memory: 27783 loss: 0.2093 loss_text: 0.1447 loss_kernel: 0.0646 2022/11/01 21:12:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:14:36 - mmengine - INFO - Epoch(train) [189][5/63] lr: 1.0000e-04 eta: 16:59:13 time: 10.3683 data_time: 9.4736 memory: 27783 loss: 0.2207 loss_text: 0.1535 loss_kernel: 0.0672 2022/11/01 21:14:41 - mmengine - INFO - Epoch(train) [189][10/63] lr: 1.0000e-04 eta: 17:01:24 time: 10.4288 data_time: 9.4852 memory: 27783 loss: 0.2000 loss_text: 0.1386 loss_kernel: 0.0614 2022/11/01 21:14:45 - mmengine - INFO - Epoch(train) [189][15/63] lr: 1.0000e-04 eta: 17:01:24 time: 0.8865 data_time: 0.0195 memory: 27783 loss: 0.2174 loss_text: 0.1518 loss_kernel: 0.0655 2022/11/01 21:14:50 - mmengine - INFO - Epoch(train) [189][20/63] lr: 1.0000e-04 eta: 17:00:28 time: 0.8900 data_time: 0.0179 memory: 27783 loss: 0.2292 loss_text: 0.1602 loss_kernel: 0.0690 2022/11/01 21:14:55 - mmengine - INFO - Epoch(train) [189][25/63] lr: 1.0000e-04 eta: 17:00:28 time: 0.9656 data_time: 0.0234 memory: 27783 loss: 0.2352 loss_text: 0.1614 loss_kernel: 0.0738 2022/11/01 21:14:59 - mmengine - INFO - Epoch(train) [189][30/63] lr: 1.0000e-04 eta: 16:59:33 time: 0.9537 data_time: 0.0155 memory: 27783 loss: 0.2385 loss_text: 0.1627 loss_kernel: 0.0758 2022/11/01 21:15:04 - mmengine - INFO - Epoch(train) [189][35/63] lr: 1.0000e-04 eta: 16:59:33 time: 0.9095 data_time: 0.0203 memory: 27783 loss: 0.2134 loss_text: 0.1481 loss_kernel: 0.0654 2022/11/01 21:15:08 - mmengine - INFO - Epoch(train) [189][40/63] lr: 1.0000e-04 eta: 16:58:38 time: 0.9127 data_time: 0.0192 memory: 27783 loss: 0.2273 loss_text: 0.1578 loss_kernel: 0.0694 2022/11/01 21:15:13 - mmengine - INFO - Epoch(train) [189][45/63] lr: 1.0000e-04 eta: 16:58:38 time: 0.9230 data_time: 0.0201 memory: 27783 loss: 0.2487 loss_text: 0.1726 loss_kernel: 0.0761 2022/11/01 21:15:18 - mmengine - INFO - Epoch(train) [189][50/63] lr: 1.0000e-04 eta: 16:57:44 time: 0.9448 data_time: 0.0270 memory: 27783 loss: 0.2004 loss_text: 0.1397 loss_kernel: 0.0606 2022/11/01 21:15:22 - mmengine - INFO - Epoch(train) [189][55/63] lr: 1.0000e-04 eta: 16:57:44 time: 0.9297 data_time: 0.0184 memory: 27783 loss: 0.1704 loss_text: 0.1172 loss_kernel: 0.0532 2022/11/01 21:15:27 - mmengine - INFO - Epoch(train) [189][60/63] lr: 1.0000e-04 eta: 16:56:49 time: 0.9238 data_time: 0.0210 memory: 27783 loss: 0.1973 loss_text: 0.1355 loss_kernel: 0.0618 2022/11/01 21:15:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:17:09 - mmengine - INFO - Epoch(train) [190][5/63] lr: 1.0000e-04 eta: 16:56:49 time: 10.3522 data_time: 9.4538 memory: 27783 loss: 0.1976 loss_text: 0.1357 loss_kernel: 0.0619 2022/11/01 21:17:14 - mmengine - INFO - Epoch(train) [190][10/63] lr: 1.0000e-04 eta: 16:58:59 time: 10.4301 data_time: 9.4655 memory: 27783 loss: 0.1852 loss_text: 0.1277 loss_kernel: 0.0576 2022/11/01 21:17:18 - mmengine - INFO - Epoch(train) [190][15/63] lr: 1.0000e-04 eta: 16:58:59 time: 0.9611 data_time: 0.0203 memory: 27783 loss: 0.2029 loss_text: 0.1404 loss_kernel: 0.0624 2022/11/01 21:17:23 - mmengine - INFO - Epoch(train) [190][20/63] lr: 1.0000e-04 eta: 16:58:03 time: 0.9051 data_time: 0.0207 memory: 27783 loss: 0.2205 loss_text: 0.1535 loss_kernel: 0.0670 2022/11/01 21:17:28 - mmengine - INFO - Epoch(train) [190][25/63] lr: 1.0000e-04 eta: 16:58:03 time: 0.9095 data_time: 0.0300 memory: 27783 loss: 0.2211 loss_text: 0.1549 loss_kernel: 0.0662 2022/11/01 21:17:32 - mmengine - INFO - Epoch(train) [190][30/63] lr: 1.0000e-04 eta: 16:57:08 time: 0.9001 data_time: 0.0159 memory: 27783 loss: 0.2467 loss_text: 0.1720 loss_kernel: 0.0747 2022/11/01 21:17:37 - mmengine - INFO - Epoch(train) [190][35/63] lr: 1.0000e-04 eta: 16:57:08 time: 0.9063 data_time: 0.0210 memory: 27783 loss: 0.2657 loss_text: 0.1850 loss_kernel: 0.0807 2022/11/01 21:17:42 - mmengine - INFO - Epoch(train) [190][40/63] lr: 1.0000e-04 eta: 16:56:15 time: 1.0087 data_time: 0.0212 memory: 27783 loss: 0.2553 loss_text: 0.1783 loss_kernel: 0.0770 2022/11/01 21:17:47 - mmengine - INFO - Epoch(train) [190][45/63] lr: 1.0000e-04 eta: 16:56:15 time: 1.0179 data_time: 0.0188 memory: 27783 loss: 0.2390 loss_text: 0.1647 loss_kernel: 0.0743 2022/11/01 21:17:52 - mmengine - INFO - Epoch(train) [190][50/63] lr: 1.0000e-04 eta: 16:55:22 time: 0.9788 data_time: 0.0317 memory: 27783 loss: 0.2222 loss_text: 0.1533 loss_kernel: 0.0689 2022/11/01 21:17:57 - mmengine - INFO - Epoch(train) [190][55/63] lr: 1.0000e-04 eta: 16:55:22 time: 0.9776 data_time: 0.0190 memory: 27783 loss: 0.2311 loss_text: 0.1596 loss_kernel: 0.0715 2022/11/01 21:18:01 - mmengine - INFO - Epoch(train) [190][60/63] lr: 1.0000e-04 eta: 16:54:27 time: 0.9297 data_time: 0.0149 memory: 27783 loss: 0.2315 loss_text: 0.1591 loss_kernel: 0.0724 2022/11/01 21:18:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:19:43 - mmengine - INFO - Epoch(train) [191][5/63] lr: 1.0000e-04 eta: 16:54:27 time: 10.3652 data_time: 9.4674 memory: 27783 loss: 0.2322 loss_text: 0.1614 loss_kernel: 0.0708 2022/11/01 21:19:48 - mmengine - INFO - Epoch(train) [191][10/63] lr: 1.0000e-04 eta: 16:56:35 time: 10.3927 data_time: 9.4793 memory: 27783 loss: 0.2150 loss_text: 0.1487 loss_kernel: 0.0663 2022/11/01 21:19:52 - mmengine - INFO - Epoch(train) [191][15/63] lr: 1.0000e-04 eta: 16:56:35 time: 0.9234 data_time: 0.0192 memory: 27783 loss: 0.2228 loss_text: 0.1543 loss_kernel: 0.0685 2022/11/01 21:19:57 - mmengine - INFO - Epoch(train) [191][20/63] lr: 1.0000e-04 eta: 16:55:41 time: 0.9426 data_time: 0.0212 memory: 27783 loss: 0.2204 loss_text: 0.1529 loss_kernel: 0.0676 2022/11/01 21:20:02 - mmengine - INFO - Epoch(train) [191][25/63] lr: 1.0000e-04 eta: 16:55:41 time: 0.9325 data_time: 0.0235 memory: 27783 loss: 0.2128 loss_text: 0.1464 loss_kernel: 0.0664 2022/11/01 21:20:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:20:06 - mmengine - INFO - Epoch(train) [191][30/63] lr: 1.0000e-04 eta: 16:54:46 time: 0.9104 data_time: 0.0186 memory: 27783 loss: 0.2315 loss_text: 0.1589 loss_kernel: 0.0726 2022/11/01 21:20:11 - mmengine - INFO - Epoch(train) [191][35/63] lr: 1.0000e-04 eta: 16:54:46 time: 0.9404 data_time: 0.0281 memory: 27783 loss: 0.2623 loss_text: 0.1817 loss_kernel: 0.0806 2022/11/01 21:20:16 - mmengine - INFO - Epoch(train) [191][40/63] lr: 1.0000e-04 eta: 16:53:52 time: 0.9446 data_time: 0.0183 memory: 27783 loss: 0.2382 loss_text: 0.1649 loss_kernel: 0.0733 2022/11/01 21:20:21 - mmengine - INFO - Epoch(train) [191][45/63] lr: 1.0000e-04 eta: 16:53:52 time: 0.9446 data_time: 0.0188 memory: 27783 loss: 0.1647 loss_text: 0.1128 loss_kernel: 0.0519 2022/11/01 21:20:25 - mmengine - INFO - Epoch(train) [191][50/63] lr: 1.0000e-04 eta: 16:52:58 time: 0.9401 data_time: 0.0291 memory: 27783 loss: 0.1892 loss_text: 0.1298 loss_kernel: 0.0594 2022/11/01 21:20:30 - mmengine - INFO - Epoch(train) [191][55/63] lr: 1.0000e-04 eta: 16:52:58 time: 0.9173 data_time: 0.0167 memory: 27783 loss: 0.2160 loss_text: 0.1498 loss_kernel: 0.0663 2022/11/01 21:20:34 - mmengine - INFO - Epoch(train) [191][60/63] lr: 1.0000e-04 eta: 16:52:03 time: 0.9100 data_time: 0.0130 memory: 27783 loss: 0.1896 loss_text: 0.1313 loss_kernel: 0.0583 2022/11/01 21:20:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:22:16 - mmengine - INFO - Epoch(train) [192][5/63] lr: 1.0000e-04 eta: 16:52:03 time: 10.3658 data_time: 9.4495 memory: 27783 loss: 0.2270 loss_text: 0.1557 loss_kernel: 0.0712 2022/11/01 21:22:22 - mmengine - INFO - Epoch(train) [192][10/63] lr: 1.0000e-04 eta: 16:54:11 time: 10.4925 data_time: 9.4569 memory: 27783 loss: 0.2142 loss_text: 0.1461 loss_kernel: 0.0682 2022/11/01 21:22:26 - mmengine - INFO - Epoch(train) [192][15/63] lr: 1.0000e-04 eta: 16:54:11 time: 1.0023 data_time: 0.0218 memory: 27783 loss: 0.2251 loss_text: 0.1554 loss_kernel: 0.0697 2022/11/01 21:22:31 - mmengine - INFO - Epoch(train) [192][20/63] lr: 1.0000e-04 eta: 16:53:17 time: 0.9361 data_time: 0.0241 memory: 27783 loss: 0.2255 loss_text: 0.1564 loss_kernel: 0.0691 2022/11/01 21:22:36 - mmengine - INFO - Epoch(train) [192][25/63] lr: 1.0000e-04 eta: 16:53:17 time: 0.9166 data_time: 0.0172 memory: 27783 loss: 0.2170 loss_text: 0.1511 loss_kernel: 0.0660 2022/11/01 21:22:40 - mmengine - INFO - Epoch(train) [192][30/63] lr: 1.0000e-04 eta: 16:52:23 time: 0.8999 data_time: 0.0170 memory: 27783 loss: 0.2424 loss_text: 0.1678 loss_kernel: 0.0746 2022/11/01 21:22:45 - mmengine - INFO - Epoch(train) [192][35/63] lr: 1.0000e-04 eta: 16:52:23 time: 0.9069 data_time: 0.0281 memory: 27783 loss: 0.2137 loss_text: 0.1467 loss_kernel: 0.0670 2022/11/01 21:22:49 - mmengine - INFO - Epoch(train) [192][40/63] lr: 1.0000e-04 eta: 16:51:29 time: 0.9369 data_time: 0.0184 memory: 27783 loss: 0.1710 loss_text: 0.1174 loss_kernel: 0.0535 2022/11/01 21:22:55 - mmengine - INFO - Epoch(train) [192][45/63] lr: 1.0000e-04 eta: 16:51:29 time: 0.9915 data_time: 0.0196 memory: 27783 loss: 0.1719 loss_text: 0.1179 loss_kernel: 0.0540 2022/11/01 21:22:59 - mmengine - INFO - Epoch(train) [192][50/63] lr: 1.0000e-04 eta: 16:50:36 time: 1.0001 data_time: 0.0268 memory: 27783 loss: 0.2022 loss_text: 0.1411 loss_kernel: 0.0611 2022/11/01 21:23:04 - mmengine - INFO - Epoch(train) [192][55/63] lr: 1.0000e-04 eta: 16:50:36 time: 0.9468 data_time: 0.0247 memory: 27783 loss: 0.1803 loss_text: 0.1255 loss_kernel: 0.0548 2022/11/01 21:23:08 - mmengine - INFO - Epoch(train) [192][60/63] lr: 1.0000e-04 eta: 16:49:42 time: 0.9051 data_time: 0.0239 memory: 27783 loss: 0.2087 loss_text: 0.1437 loss_kernel: 0.0650 2022/11/01 21:23:11 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:24:51 - mmengine - INFO - Epoch(train) [193][5/63] lr: 1.0000e-04 eta: 16:49:42 time: 10.3779 data_time: 9.4979 memory: 27783 loss: 0.2371 loss_text: 0.1636 loss_kernel: 0.0735 2022/11/01 21:24:55 - mmengine - INFO - Epoch(train) [193][10/63] lr: 1.0000e-04 eta: 16:51:47 time: 10.4247 data_time: 9.5130 memory: 27783 loss: 0.2354 loss_text: 0.1623 loss_kernel: 0.0730 2022/11/01 21:25:00 - mmengine - INFO - Epoch(train) [193][15/63] lr: 1.0000e-04 eta: 16:51:47 time: 0.9152 data_time: 0.0282 memory: 27783 loss: 0.2388 loss_text: 0.1643 loss_kernel: 0.0744 2022/11/01 21:25:04 - mmengine - INFO - Epoch(train) [193][20/63] lr: 1.0000e-04 eta: 16:50:53 time: 0.9058 data_time: 0.0168 memory: 27783 loss: 0.2368 loss_text: 0.1637 loss_kernel: 0.0731 2022/11/01 21:25:09 - mmengine - INFO - Epoch(train) [193][25/63] lr: 1.0000e-04 eta: 16:50:53 time: 0.9371 data_time: 0.0191 memory: 27783 loss: 0.2024 loss_text: 0.1391 loss_kernel: 0.0632 2022/11/01 21:25:14 - mmengine - INFO - Epoch(train) [193][30/63] lr: 1.0000e-04 eta: 16:49:59 time: 0.9463 data_time: 0.0186 memory: 27783 loss: 0.2120 loss_text: 0.1464 loss_kernel: 0.0656 2022/11/01 21:25:18 - mmengine - INFO - Epoch(train) [193][35/63] lr: 1.0000e-04 eta: 16:49:59 time: 0.9423 data_time: 0.0194 memory: 27783 loss: 0.2435 loss_text: 0.1689 loss_kernel: 0.0746 2022/11/01 21:25:23 - mmengine - INFO - Epoch(train) [193][40/63] lr: 1.0000e-04 eta: 16:49:06 time: 0.9562 data_time: 0.0189 memory: 27783 loss: 0.2485 loss_text: 0.1715 loss_kernel: 0.0770 2022/11/01 21:25:28 - mmengine - INFO - Epoch(train) [193][45/63] lr: 1.0000e-04 eta: 16:49:06 time: 0.9384 data_time: 0.0200 memory: 27783 loss: 0.2427 loss_text: 0.1672 loss_kernel: 0.0756 2022/11/01 21:25:33 - mmengine - INFO - Epoch(train) [193][50/63] lr: 1.0000e-04 eta: 16:48:12 time: 0.9278 data_time: 0.0259 memory: 27783 loss: 0.2126 loss_text: 0.1461 loss_kernel: 0.0666 2022/11/01 21:25:37 - mmengine - INFO - Epoch(train) [193][55/63] lr: 1.0000e-04 eta: 16:48:12 time: 0.9138 data_time: 0.0229 memory: 27783 loss: 0.2268 loss_text: 0.1561 loss_kernel: 0.0707 2022/11/01 21:25:41 - mmengine - INFO - Epoch(train) [193][60/63] lr: 1.0000e-04 eta: 16:47:18 time: 0.8925 data_time: 0.0172 memory: 27783 loss: 0.2176 loss_text: 0.1498 loss_kernel: 0.0678 2022/11/01 21:25:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:27:23 - mmengine - INFO - Epoch(train) [194][5/63] lr: 1.0000e-04 eta: 16:47:18 time: 10.2883 data_time: 9.4445 memory: 27783 loss: 0.1728 loss_text: 0.1200 loss_kernel: 0.0528 2022/11/01 21:27:27 - mmengine - INFO - Epoch(train) [194][10/63] lr: 1.0000e-04 eta: 16:49:20 time: 10.3471 data_time: 9.4513 memory: 27783 loss: 0.1919 loss_text: 0.1320 loss_kernel: 0.0599 2022/11/01 21:27:32 - mmengine - INFO - Epoch(train) [194][15/63] lr: 1.0000e-04 eta: 16:49:20 time: 0.9071 data_time: 0.0221 memory: 27783 loss: 0.2204 loss_text: 0.1511 loss_kernel: 0.0693 2022/11/01 21:27:37 - mmengine - INFO - Epoch(train) [194][20/63] lr: 1.0000e-04 eta: 16:48:27 time: 0.9400 data_time: 0.0227 memory: 27783 loss: 0.2174 loss_text: 0.1501 loss_kernel: 0.0672 2022/11/01 21:27:41 - mmengine - INFO - Epoch(train) [194][25/63] lr: 1.0000e-04 eta: 16:48:27 time: 0.9530 data_time: 0.0218 memory: 27783 loss: 0.2264 loss_text: 0.1584 loss_kernel: 0.0681 2022/11/01 21:27:46 - mmengine - INFO - Epoch(train) [194][30/63] lr: 1.0000e-04 eta: 16:47:33 time: 0.9436 data_time: 0.0220 memory: 27783 loss: 0.2262 loss_text: 0.1576 loss_kernel: 0.0686 2022/11/01 21:27:51 - mmengine - INFO - Epoch(train) [194][35/63] lr: 1.0000e-04 eta: 16:47:33 time: 0.9685 data_time: 0.0257 memory: 27783 loss: 0.1947 loss_text: 0.1333 loss_kernel: 0.0613 2022/11/01 21:27:56 - mmengine - INFO - Epoch(train) [194][40/63] lr: 1.0000e-04 eta: 16:46:40 time: 0.9623 data_time: 0.0233 memory: 27783 loss: 0.1787 loss_text: 0.1209 loss_kernel: 0.0578 2022/11/01 21:28:01 - mmengine - INFO - Epoch(train) [194][45/63] lr: 1.0000e-04 eta: 16:46:40 time: 0.9578 data_time: 0.0386 memory: 27783 loss: 0.1905 loss_text: 0.1325 loss_kernel: 0.0580 2022/11/01 21:28:05 - mmengine - INFO - Epoch(train) [194][50/63] lr: 1.0000e-04 eta: 16:45:47 time: 0.9454 data_time: 0.0417 memory: 27783 loss: 0.2166 loss_text: 0.1512 loss_kernel: 0.0654 2022/11/01 21:28:10 - mmengine - INFO - Epoch(train) [194][55/63] lr: 1.0000e-04 eta: 16:45:47 time: 0.9052 data_time: 0.0178 memory: 27783 loss: 0.2042 loss_text: 0.1399 loss_kernel: 0.0642 2022/11/01 21:28:14 - mmengine - INFO - Epoch(train) [194][60/63] lr: 1.0000e-04 eta: 16:44:53 time: 0.9207 data_time: 0.0173 memory: 27783 loss: 0.1898 loss_text: 0.1314 loss_kernel: 0.0584 2022/11/01 21:28:17 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:29:56 - mmengine - INFO - Epoch(train) [195][5/63] lr: 1.0000e-04 eta: 16:44:53 time: 10.3365 data_time: 9.4664 memory: 27783 loss: 0.1889 loss_text: 0.1298 loss_kernel: 0.0591 2022/11/01 21:30:01 - mmengine - INFO - Epoch(train) [195][10/63] lr: 1.0000e-04 eta: 16:46:56 time: 10.3956 data_time: 9.4759 memory: 27783 loss: 0.2310 loss_text: 0.1602 loss_kernel: 0.0708 2022/11/01 21:30:05 - mmengine - INFO - Epoch(train) [195][15/63] lr: 1.0000e-04 eta: 16:46:56 time: 0.9055 data_time: 0.0181 memory: 27783 loss: 0.2497 loss_text: 0.1737 loss_kernel: 0.0761 2022/11/01 21:30:10 - mmengine - INFO - Epoch(train) [195][20/63] lr: 1.0000e-04 eta: 16:46:02 time: 0.9045 data_time: 0.0204 memory: 27783 loss: 0.2231 loss_text: 0.1540 loss_kernel: 0.0690 2022/11/01 21:30:14 - mmengine - INFO - Epoch(train) [195][25/63] lr: 1.0000e-04 eta: 16:46:02 time: 0.9124 data_time: 0.0277 memory: 27783 loss: 0.1926 loss_text: 0.1327 loss_kernel: 0.0599 2022/11/01 21:30:19 - mmengine - INFO - Epoch(train) [195][30/63] lr: 1.0000e-04 eta: 16:45:08 time: 0.9235 data_time: 0.0193 memory: 27783 loss: 0.1910 loss_text: 0.1307 loss_kernel: 0.0603 2022/11/01 21:30:23 - mmengine - INFO - Epoch(train) [195][35/63] lr: 1.0000e-04 eta: 16:45:08 time: 0.9202 data_time: 0.0243 memory: 27783 loss: 0.2162 loss_text: 0.1490 loss_kernel: 0.0672 2022/11/01 21:30:28 - mmengine - INFO - Epoch(train) [195][40/63] lr: 1.0000e-04 eta: 16:44:15 time: 0.9127 data_time: 0.0225 memory: 27783 loss: 0.1962 loss_text: 0.1356 loss_kernel: 0.0606 2022/11/01 21:30:33 - mmengine - INFO - Epoch(train) [195][45/63] lr: 1.0000e-04 eta: 16:44:15 time: 0.9272 data_time: 0.0197 memory: 27783 loss: 0.2207 loss_text: 0.1519 loss_kernel: 0.0689 2022/11/01 21:30:38 - mmengine - INFO - Epoch(train) [195][50/63] lr: 1.0000e-04 eta: 16:43:22 time: 0.9484 data_time: 0.0265 memory: 27783 loss: 0.2177 loss_text: 0.1495 loss_kernel: 0.0682 2022/11/01 21:30:42 - mmengine - INFO - Epoch(train) [195][55/63] lr: 1.0000e-04 eta: 16:43:22 time: 0.9251 data_time: 0.0177 memory: 27783 loss: 0.1864 loss_text: 0.1277 loss_kernel: 0.0588 2022/11/01 21:30:47 - mmengine - INFO - Epoch(train) [195][60/63] lr: 1.0000e-04 eta: 16:42:28 time: 0.8964 data_time: 0.0164 memory: 27783 loss: 0.1998 loss_text: 0.1380 loss_kernel: 0.0619 2022/11/01 21:30:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:32:29 - mmengine - INFO - Epoch(train) [196][5/63] lr: 1.0000e-04 eta: 16:42:28 time: 10.3782 data_time: 9.5046 memory: 27783 loss: 0.2131 loss_text: 0.1458 loss_kernel: 0.0674 2022/11/01 21:32:33 - mmengine - INFO - Epoch(train) [196][10/63] lr: 1.0000e-04 eta: 16:44:30 time: 10.4519 data_time: 9.5163 memory: 27783 loss: 0.2178 loss_text: 0.1514 loss_kernel: 0.0665 2022/11/01 21:32:38 - mmengine - INFO - Epoch(train) [196][15/63] lr: 1.0000e-04 eta: 16:44:30 time: 0.9414 data_time: 0.0215 memory: 27783 loss: 0.2372 loss_text: 0.1656 loss_kernel: 0.0716 2022/11/01 21:32:43 - mmengine - INFO - Epoch(train) [196][20/63] lr: 1.0000e-04 eta: 16:43:37 time: 0.9309 data_time: 0.0217 memory: 27783 loss: 0.2271 loss_text: 0.1569 loss_kernel: 0.0702 2022/11/01 21:32:48 - mmengine - INFO - Epoch(train) [196][25/63] lr: 1.0000e-04 eta: 16:43:37 time: 0.9548 data_time: 0.0321 memory: 27783 loss: 0.1852 loss_text: 0.1277 loss_kernel: 0.0575 2022/11/01 21:32:52 - mmengine - INFO - Epoch(train) [196][30/63] lr: 1.0000e-04 eta: 16:42:44 time: 0.9548 data_time: 0.0173 memory: 27783 loss: 0.2082 loss_text: 0.1442 loss_kernel: 0.0640 2022/11/01 21:32:57 - mmengine - INFO - Epoch(train) [196][35/63] lr: 1.0000e-04 eta: 16:42:44 time: 0.9404 data_time: 0.0190 memory: 27783 loss: 0.2658 loss_text: 0.1858 loss_kernel: 0.0800 2022/11/01 21:33:02 - mmengine - INFO - Epoch(train) [196][40/63] lr: 1.0000e-04 eta: 16:41:51 time: 0.9296 data_time: 0.0199 memory: 27783 loss: 0.2600 loss_text: 0.1829 loss_kernel: 0.0771 2022/11/01 21:33:07 - mmengine - INFO - Epoch(train) [196][45/63] lr: 1.0000e-04 eta: 16:41:51 time: 0.9561 data_time: 0.0171 memory: 27783 loss: 0.2356 loss_text: 0.1649 loss_kernel: 0.0708 2022/11/01 21:33:11 - mmengine - INFO - Epoch(train) [196][50/63] lr: 1.0000e-04 eta: 16:40:59 time: 0.9655 data_time: 0.0293 memory: 27783 loss: 0.2296 loss_text: 0.1598 loss_kernel: 0.0698 2022/11/01 21:33:16 - mmengine - INFO - Epoch(train) [196][55/63] lr: 1.0000e-04 eta: 16:40:59 time: 0.9527 data_time: 0.0198 memory: 27783 loss: 0.2210 loss_text: 0.1526 loss_kernel: 0.0684 2022/11/01 21:33:21 - mmengine - INFO - Epoch(train) [196][60/63] lr: 1.0000e-04 eta: 16:40:06 time: 0.9324 data_time: 0.0145 memory: 27783 loss: 0.2321 loss_text: 0.1601 loss_kernel: 0.0720 2022/11/01 21:33:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:35:03 - mmengine - INFO - Epoch(train) [197][5/63] lr: 1.0000e-04 eta: 16:40:06 time: 10.4094 data_time: 9.4894 memory: 27783 loss: 0.2538 loss_text: 0.1770 loss_kernel: 0.0768 2022/11/01 21:35:08 - mmengine - INFO - Epoch(train) [197][10/63] lr: 1.0000e-04 eta: 16:42:08 time: 10.4776 data_time: 9.5011 memory: 27783 loss: 0.1955 loss_text: 0.1353 loss_kernel: 0.0602 2022/11/01 21:35:12 - mmengine - INFO - Epoch(train) [197][15/63] lr: 1.0000e-04 eta: 16:42:08 time: 0.9163 data_time: 0.0211 memory: 27783 loss: 0.1981 loss_text: 0.1362 loss_kernel: 0.0620 2022/11/01 21:35:17 - mmengine - INFO - Epoch(train) [197][20/63] lr: 1.0000e-04 eta: 16:41:14 time: 0.9127 data_time: 0.0184 memory: 27783 loss: 0.2114 loss_text: 0.1458 loss_kernel: 0.0656 2022/11/01 21:35:21 - mmengine - INFO - Epoch(train) [197][25/63] lr: 1.0000e-04 eta: 16:41:14 time: 0.9208 data_time: 0.0227 memory: 27783 loss: 0.2262 loss_text: 0.1575 loss_kernel: 0.0687 2022/11/01 21:35:26 - mmengine - INFO - Epoch(train) [197][30/63] lr: 1.0000e-04 eta: 16:40:21 time: 0.9059 data_time: 0.0184 memory: 27783 loss: 0.2527 loss_text: 0.1756 loss_kernel: 0.0772 2022/11/01 21:35:30 - mmengine - INFO - Epoch(train) [197][35/63] lr: 1.0000e-04 eta: 16:40:21 time: 0.9050 data_time: 0.0204 memory: 27783 loss: 0.2487 loss_text: 0.1714 loss_kernel: 0.0773 2022/11/01 21:35:36 - mmengine - INFO - Epoch(train) [197][40/63] lr: 1.0000e-04 eta: 16:39:29 time: 0.9714 data_time: 0.0165 memory: 27783 loss: 0.2345 loss_text: 0.1614 loss_kernel: 0.0730 2022/11/01 21:35:40 - mmengine - INFO - Epoch(train) [197][45/63] lr: 1.0000e-04 eta: 16:39:29 time: 1.0024 data_time: 0.0218 memory: 27783 loss: 0.2142 loss_text: 0.1484 loss_kernel: 0.0658 2022/11/01 21:35:45 - mmengine - INFO - Epoch(train) [197][50/63] lr: 1.0000e-04 eta: 16:38:36 time: 0.9357 data_time: 0.0294 memory: 27783 loss: 0.2394 loss_text: 0.1661 loss_kernel: 0.0733 2022/11/01 21:35:50 - mmengine - INFO - Epoch(train) [197][55/63] lr: 1.0000e-04 eta: 16:38:36 time: 0.9169 data_time: 0.0183 memory: 27783 loss: 0.2332 loss_text: 0.1602 loss_kernel: 0.0730 2022/11/01 21:35:54 - mmengine - INFO - Epoch(train) [197][60/63] lr: 1.0000e-04 eta: 16:37:43 time: 0.9117 data_time: 0.0146 memory: 27783 loss: 0.2059 loss_text: 0.1432 loss_kernel: 0.0626 2022/11/01 21:35:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:37:36 - mmengine - INFO - Epoch(train) [198][5/63] lr: 1.0000e-04 eta: 16:37:43 time: 10.3788 data_time: 9.5145 memory: 27783 loss: 0.2069 loss_text: 0.1454 loss_kernel: 0.0615 2022/11/01 21:37:41 - mmengine - INFO - Epoch(train) [198][10/63] lr: 1.0000e-04 eta: 16:39:42 time: 10.4305 data_time: 9.5280 memory: 27783 loss: 0.2180 loss_text: 0.1517 loss_kernel: 0.0663 2022/11/01 21:37:45 - mmengine - INFO - Epoch(train) [198][15/63] lr: 1.0000e-04 eta: 16:39:42 time: 0.8985 data_time: 0.0214 memory: 27783 loss: 0.2094 loss_text: 0.1442 loss_kernel: 0.0652 2022/11/01 21:37:50 - mmengine - INFO - Epoch(train) [198][20/63] lr: 1.0000e-04 eta: 16:38:49 time: 0.9186 data_time: 0.0222 memory: 27783 loss: 0.2050 loss_text: 0.1417 loss_kernel: 0.0633 2022/11/01 21:37:55 - mmengine - INFO - Epoch(train) [198][25/63] lr: 1.0000e-04 eta: 16:38:49 time: 0.9389 data_time: 0.0324 memory: 27783 loss: 0.2169 loss_text: 0.1502 loss_kernel: 0.0667 2022/11/01 21:37:59 - mmengine - INFO - Epoch(train) [198][30/63] lr: 1.0000e-04 eta: 16:37:57 time: 0.9446 data_time: 0.0176 memory: 27783 loss: 0.2151 loss_text: 0.1481 loss_kernel: 0.0670 2022/11/01 21:38:04 - mmengine - INFO - Epoch(train) [198][35/63] lr: 1.0000e-04 eta: 16:37:57 time: 0.9473 data_time: 0.0196 memory: 27783 loss: 0.2414 loss_text: 0.1679 loss_kernel: 0.0735 2022/11/01 21:38:09 - mmengine - INFO - Epoch(train) [198][40/63] lr: 1.0000e-04 eta: 16:37:04 time: 0.9198 data_time: 0.0204 memory: 27783 loss: 0.2383 loss_text: 0.1666 loss_kernel: 0.0717 2022/11/01 21:38:13 - mmengine - INFO - Epoch(train) [198][45/63] lr: 1.0000e-04 eta: 16:37:04 time: 0.9036 data_time: 0.0166 memory: 27783 loss: 0.2151 loss_text: 0.1498 loss_kernel: 0.0653 2022/11/01 21:38:18 - mmengine - INFO - Epoch(train) [198][50/63] lr: 1.0000e-04 eta: 16:36:11 time: 0.9137 data_time: 0.0260 memory: 27783 loss: 0.2127 loss_text: 0.1485 loss_kernel: 0.0642 2022/11/01 21:38:22 - mmengine - INFO - Epoch(train) [198][55/63] lr: 1.0000e-04 eta: 16:36:11 time: 0.8961 data_time: 0.0167 memory: 27783 loss: 0.2489 loss_text: 0.1734 loss_kernel: 0.0755 2022/11/01 21:38:27 - mmengine - INFO - Epoch(train) [198][60/63] lr: 1.0000e-04 eta: 16:35:17 time: 0.8826 data_time: 0.0142 memory: 27783 loss: 0.2481 loss_text: 0.1727 loss_kernel: 0.0755 2022/11/01 21:38:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:40:09 - mmengine - INFO - Epoch(train) [199][5/63] lr: 1.0000e-04 eta: 16:35:17 time: 10.3969 data_time: 9.5649 memory: 27783 loss: 0.2137 loss_text: 0.1472 loss_kernel: 0.0666 2022/11/01 21:40:14 - mmengine - INFO - Epoch(train) [199][10/63] lr: 1.0000e-04 eta: 16:37:17 time: 10.4633 data_time: 9.5750 memory: 27783 loss: 0.2126 loss_text: 0.1473 loss_kernel: 0.0653 2022/11/01 21:40:18 - mmengine - INFO - Epoch(train) [199][15/63] lr: 1.0000e-04 eta: 16:37:17 time: 0.9127 data_time: 0.0193 memory: 27783 loss: 0.2091 loss_text: 0.1442 loss_kernel: 0.0649 2022/11/01 21:40:23 - mmengine - INFO - Epoch(train) [199][20/63] lr: 1.0000e-04 eta: 16:36:24 time: 0.9192 data_time: 0.0211 memory: 27783 loss: 0.2195 loss_text: 0.1521 loss_kernel: 0.0673 2022/11/01 21:40:28 - mmengine - INFO - Epoch(train) [199][25/63] lr: 1.0000e-04 eta: 16:36:24 time: 0.9412 data_time: 0.0210 memory: 27783 loss: 0.2014 loss_text: 0.1387 loss_kernel: 0.0627 2022/11/01 21:40:32 - mmengine - INFO - Epoch(train) [199][30/63] lr: 1.0000e-04 eta: 16:35:31 time: 0.9415 data_time: 0.0226 memory: 27783 loss: 0.2232 loss_text: 0.1532 loss_kernel: 0.0700 2022/11/01 21:40:37 - mmengine - INFO - Epoch(train) [199][35/63] lr: 1.0000e-04 eta: 16:35:31 time: 0.9322 data_time: 0.0290 memory: 27783 loss: 0.2174 loss_text: 0.1507 loss_kernel: 0.0667 2022/11/01 21:40:41 - mmengine - INFO - Epoch(train) [199][40/63] lr: 1.0000e-04 eta: 16:34:39 time: 0.9190 data_time: 0.0169 memory: 27783 loss: 0.1995 loss_text: 0.1379 loss_kernel: 0.0616 2022/11/01 21:40:46 - mmengine - INFO - Epoch(train) [199][45/63] lr: 1.0000e-04 eta: 16:34:39 time: 0.9015 data_time: 0.0156 memory: 27783 loss: 0.2322 loss_text: 0.1613 loss_kernel: 0.0708 2022/11/01 21:40:51 - mmengine - INFO - Epoch(train) [199][50/63] lr: 1.0000e-04 eta: 16:33:46 time: 0.9129 data_time: 0.0202 memory: 27783 loss: 0.2205 loss_text: 0.1529 loss_kernel: 0.0676 2022/11/01 21:40:55 - mmengine - INFO - Epoch(train) [199][55/63] lr: 1.0000e-04 eta: 16:33:46 time: 0.9371 data_time: 0.0188 memory: 27783 loss: 0.2142 loss_text: 0.1477 loss_kernel: 0.0665 2022/11/01 21:41:00 - mmengine - INFO - Epoch(train) [199][60/63] lr: 1.0000e-04 eta: 16:32:54 time: 0.9420 data_time: 0.0205 memory: 27783 loss: 0.2106 loss_text: 0.1456 loss_kernel: 0.0650 2022/11/01 21:41:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:42:43 - mmengine - INFO - Epoch(train) [200][5/63] lr: 1.0000e-04 eta: 16:32:54 time: 10.4825 data_time: 9.5274 memory: 27783 loss: 0.2240 loss_text: 0.1545 loss_kernel: 0.0695 2022/11/01 21:42:48 - mmengine - INFO - Epoch(train) [200][10/63] lr: 1.0000e-04 eta: 16:34:53 time: 10.5095 data_time: 9.5357 memory: 27783 loss: 0.2442 loss_text: 0.1695 loss_kernel: 0.0747 2022/11/01 21:42:52 - mmengine - INFO - Epoch(train) [200][15/63] lr: 1.0000e-04 eta: 16:34:53 time: 0.9146 data_time: 0.0232 memory: 27783 loss: 0.1917 loss_text: 0.1336 loss_kernel: 0.0581 2022/11/01 21:42:57 - mmengine - INFO - Epoch(train) [200][20/63] lr: 1.0000e-04 eta: 16:34:01 time: 0.9668 data_time: 0.0206 memory: 27783 loss: 0.1782 loss_text: 0.1232 loss_kernel: 0.0550 2022/11/01 21:43:02 - mmengine - INFO - Epoch(train) [200][25/63] lr: 1.0000e-04 eta: 16:34:01 time: 0.9891 data_time: 0.0284 memory: 27783 loss: 0.1892 loss_text: 0.1303 loss_kernel: 0.0588 2022/11/01 21:43:07 - mmengine - INFO - Epoch(train) [200][30/63] lr: 1.0000e-04 eta: 16:33:09 time: 0.9367 data_time: 0.0199 memory: 27783 loss: 0.1814 loss_text: 0.1255 loss_kernel: 0.0559 2022/11/01 21:43:11 - mmengine - INFO - Epoch(train) [200][35/63] lr: 1.0000e-04 eta: 16:33:09 time: 0.9136 data_time: 0.0183 memory: 27783 loss: 0.2194 loss_text: 0.1526 loss_kernel: 0.0668 2022/11/01 21:43:16 - mmengine - INFO - Epoch(train) [200][40/63] lr: 1.0000e-04 eta: 16:32:16 time: 0.9092 data_time: 0.0208 memory: 27783 loss: 0.2357 loss_text: 0.1652 loss_kernel: 0.0705 2022/11/01 21:43:21 - mmengine - INFO - Epoch(train) [200][45/63] lr: 1.0000e-04 eta: 16:32:16 time: 0.9721 data_time: 0.0174 memory: 27783 loss: 0.2042 loss_text: 0.1423 loss_kernel: 0.0618 2022/11/01 21:43:25 - mmengine - INFO - Epoch(train) [200][50/63] lr: 1.0000e-04 eta: 16:31:25 time: 0.9790 data_time: 0.0252 memory: 27783 loss: 0.1934 loss_text: 0.1331 loss_kernel: 0.0603 2022/11/01 21:43:30 - mmengine - INFO - Epoch(train) [200][55/63] lr: 1.0000e-04 eta: 16:31:25 time: 0.9363 data_time: 0.0259 memory: 27783 loss: 0.2178 loss_text: 0.1512 loss_kernel: 0.0665 2022/11/01 21:43:35 - mmengine - INFO - Epoch(train) [200][60/63] lr: 1.0000e-04 eta: 16:30:33 time: 0.9338 data_time: 0.0199 memory: 27783 loss: 0.2743 loss_text: 0.1908 loss_kernel: 0.0835 2022/11/01 21:43:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:43:37 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/11/01 21:44:14 - mmengine - INFO - Epoch(val) [200][5/500] eta: 16:30:33 time: 3.2235 data_time: 3.1514 memory: 27783 2022/11/01 21:44:14 - mmengine - INFO - Epoch(val) [200][10/500] eta: 0:26:19 time: 3.2240 data_time: 3.1514 memory: 3208 2022/11/01 21:44:15 - mmengine - INFO - Epoch(val) [200][15/500] eta: 0:26:19 time: 0.0711 data_time: 0.0025 memory: 3208 2022/11/01 21:44:15 - mmengine - INFO - Epoch(val) [200][20/500] eta: 0:00:34 time: 0.0721 data_time: 0.0024 memory: 3208 2022/11/01 21:44:16 - mmengine - INFO - Epoch(val) [200][25/500] eta: 0:00:34 time: 0.0723 data_time: 0.0025 memory: 3208 2022/11/01 21:44:16 - mmengine - INFO - Epoch(val) [200][30/500] eta: 0:00:35 time: 0.0753 data_time: 0.0027 memory: 3208 2022/11/01 21:44:16 - mmengine - INFO - Epoch(val) [200][35/500] eta: 0:00:35 time: 0.0760 data_time: 0.0028 memory: 3208 2022/11/01 21:44:17 - mmengine - INFO - Epoch(val) [200][40/500] eta: 0:00:35 time: 0.0767 data_time: 0.0026 memory: 3208 2022/11/01 21:44:17 - mmengine - INFO - Epoch(val) [200][45/500] eta: 0:00:35 time: 0.0768 data_time: 0.0023 memory: 3208 2022/11/01 21:44:17 - mmengine - INFO - Epoch(val) [200][50/500] eta: 0:00:32 time: 0.0728 data_time: 0.0025 memory: 3208 2022/11/01 21:44:18 - mmengine - INFO - Epoch(val) [200][55/500] eta: 0:00:32 time: 0.0736 data_time: 0.0028 memory: 3208 2022/11/01 21:44:18 - mmengine - INFO - Epoch(val) [200][60/500] eta: 0:00:32 time: 0.0732 data_time: 0.0029 memory: 3208 2022/11/01 21:44:19 - mmengine - INFO - Epoch(val) [200][65/500] eta: 0:00:32 time: 0.0748 data_time: 0.0028 memory: 3208 2022/11/01 21:44:19 - mmengine - INFO - Epoch(val) [200][70/500] eta: 0:00:33 time: 0.0779 data_time: 0.0027 memory: 3208 2022/11/01 21:44:19 - mmengine - INFO - Epoch(val) [200][75/500] eta: 0:00:33 time: 0.0733 data_time: 0.0025 memory: 3208 2022/11/01 21:44:20 - mmengine - INFO - Epoch(val) [200][80/500] eta: 0:00:29 time: 0.0691 data_time: 0.0023 memory: 3208 2022/11/01 21:44:20 - mmengine - INFO - Epoch(val) [200][85/500] eta: 0:00:29 time: 0.0689 data_time: 0.0026 memory: 3208 2022/11/01 21:44:20 - mmengine - INFO - Epoch(val) [200][90/500] eta: 0:00:29 time: 0.0725 data_time: 0.0026 memory: 3208 2022/11/01 21:44:21 - mmengine - INFO - Epoch(val) [200][95/500] eta: 0:00:29 time: 0.0765 data_time: 0.0026 memory: 3208 2022/11/01 21:44:21 - mmengine - INFO - Epoch(val) [200][100/500] eta: 0:00:30 time: 0.0757 data_time: 0.0028 memory: 3208 2022/11/01 21:44:21 - mmengine - INFO - Epoch(val) [200][105/500] eta: 0:00:30 time: 0.0751 data_time: 0.0030 memory: 3208 2022/11/01 21:44:22 - mmengine - INFO - Epoch(val) [200][110/500] eta: 0:00:28 time: 0.0722 data_time: 0.0027 memory: 3208 2022/11/01 21:44:22 - mmengine - INFO - Epoch(val) [200][115/500] eta: 0:00:28 time: 0.0718 data_time: 0.0025 memory: 3208 2022/11/01 21:44:23 - mmengine - INFO - Epoch(val) [200][120/500] eta: 0:00:27 time: 0.0735 data_time: 0.0032 memory: 3208 2022/11/01 21:44:23 - mmengine - INFO - Epoch(val) [200][125/500] eta: 0:00:27 time: 0.0715 data_time: 0.0032 memory: 3208 2022/11/01 21:44:23 - mmengine - INFO - Epoch(val) [200][130/500] eta: 0:00:25 time: 0.0698 data_time: 0.0027 memory: 3208 2022/11/01 21:44:24 - mmengine - INFO - Epoch(val) [200][135/500] eta: 0:00:25 time: 0.0772 data_time: 0.0090 memory: 3208 2022/11/01 21:44:24 - mmengine - INFO - Epoch(val) [200][140/500] eta: 0:00:27 time: 0.0771 data_time: 0.0089 memory: 3208 2022/11/01 21:44:24 - mmengine - INFO - Epoch(val) [200][145/500] eta: 0:00:27 time: 0.0751 data_time: 0.0028 memory: 3208 2022/11/01 21:44:25 - mmengine - INFO - Epoch(val) [200][150/500] eta: 0:00:27 time: 0.0784 data_time: 0.0031 memory: 3208 2022/11/01 21:44:25 - mmengine - INFO - Epoch(val) [200][155/500] eta: 0:00:27 time: 0.0868 data_time: 0.0092 memory: 3208 2022/11/01 21:44:26 - mmengine - INFO - Epoch(val) [200][160/500] eta: 0:00:29 time: 0.0862 data_time: 0.0092 memory: 3208 2022/11/01 21:44:26 - mmengine - INFO - Epoch(val) [200][165/500] eta: 0:00:29 time: 0.0809 data_time: 0.0039 memory: 3208 2022/11/01 21:44:27 - mmengine - INFO - Epoch(val) [200][170/500] eta: 0:00:26 time: 0.0812 data_time: 0.0038 memory: 3208 2022/11/01 21:44:27 - mmengine - INFO - Epoch(val) [200][175/500] eta: 0:00:26 time: 0.0733 data_time: 0.0029 memory: 3208 2022/11/01 21:44:27 - mmengine - INFO - Epoch(val) [200][180/500] eta: 0:00:22 time: 0.0714 data_time: 0.0028 memory: 3208 2022/11/01 21:44:28 - mmengine - INFO - Epoch(val) [200][185/500] eta: 0:00:22 time: 0.0754 data_time: 0.0026 memory: 3208 2022/11/01 21:44:28 - mmengine - INFO - Epoch(val) [200][190/500] eta: 0:00:24 time: 0.0787 data_time: 0.0028 memory: 3208 2022/11/01 21:44:28 - mmengine - INFO - Epoch(val) [200][195/500] eta: 0:00:24 time: 0.0749 data_time: 0.0028 memory: 3208 2022/11/01 21:44:29 - mmengine - INFO - Epoch(val) [200][200/500] eta: 0:00:24 time: 0.0811 data_time: 0.0028 memory: 3208 2022/11/01 21:44:29 - mmengine - INFO - Epoch(val) [200][205/500] eta: 0:00:24 time: 0.0805 data_time: 0.0031 memory: 3208 2022/11/01 21:44:30 - mmengine - INFO - Epoch(val) [200][210/500] eta: 0:00:20 time: 0.0719 data_time: 0.0033 memory: 3208 2022/11/01 21:44:30 - mmengine - INFO - Epoch(val) [200][215/500] eta: 0:00:20 time: 0.0731 data_time: 0.0029 memory: 3208 2022/11/01 21:44:30 - mmengine - INFO - Epoch(val) [200][220/500] eta: 0:00:20 time: 0.0744 data_time: 0.0027 memory: 3208 2022/11/01 21:44:31 - mmengine - INFO - Epoch(val) [200][225/500] eta: 0:00:20 time: 0.0789 data_time: 0.0027 memory: 3208 2022/11/01 21:44:31 - mmengine - INFO - Epoch(val) [200][230/500] eta: 0:00:20 time: 0.0749 data_time: 0.0026 memory: 3208 2022/11/01 21:44:31 - mmengine - INFO - Epoch(val) [200][235/500] eta: 0:00:20 time: 0.0729 data_time: 0.0033 memory: 3208 2022/11/01 21:44:32 - mmengine - INFO - Epoch(val) [200][240/500] eta: 0:00:19 time: 0.0765 data_time: 0.0036 memory: 3208 2022/11/01 21:44:32 - mmengine - INFO - Epoch(val) [200][245/500] eta: 0:00:19 time: 0.0753 data_time: 0.0033 memory: 3208 2022/11/01 21:44:33 - mmengine - INFO - Epoch(val) [200][250/500] eta: 0:00:19 time: 0.0769 data_time: 0.0032 memory: 3208 2022/11/01 21:44:33 - mmengine - INFO - Epoch(val) [200][255/500] eta: 0:00:19 time: 0.0778 data_time: 0.0034 memory: 3208 2022/11/01 21:44:33 - mmengine - INFO - Epoch(val) [200][260/500] eta: 0:00:18 time: 0.0779 data_time: 0.0035 memory: 3208 2022/11/01 21:44:34 - mmengine - INFO - Epoch(val) [200][265/500] eta: 0:00:18 time: 0.0755 data_time: 0.0032 memory: 3208 2022/11/01 21:44:34 - mmengine - INFO - Epoch(val) [200][270/500] eta: 0:00:18 time: 0.0783 data_time: 0.0046 memory: 3208 2022/11/01 21:44:34 - mmengine - INFO - Epoch(val) [200][275/500] eta: 0:00:18 time: 0.0757 data_time: 0.0042 memory: 3208 2022/11/01 21:44:35 - mmengine - INFO - Epoch(val) [200][280/500] eta: 0:00:16 time: 0.0729 data_time: 0.0025 memory: 3208 2022/11/01 21:44:35 - mmengine - INFO - Epoch(val) [200][285/500] eta: 0:00:16 time: 0.0752 data_time: 0.0026 memory: 3208 2022/11/01 21:44:36 - mmengine - INFO - Epoch(val) [200][290/500] eta: 0:00:15 time: 0.0743 data_time: 0.0026 memory: 3208 2022/11/01 21:44:36 - mmengine - INFO - Epoch(val) [200][295/500] eta: 0:00:15 time: 0.0742 data_time: 0.0026 memory: 3208 2022/11/01 21:44:36 - mmengine - INFO - Epoch(val) [200][300/500] eta: 0:00:14 time: 0.0724 data_time: 0.0027 memory: 3208 2022/11/01 21:44:37 - mmengine - INFO - Epoch(val) [200][305/500] eta: 0:00:14 time: 0.0717 data_time: 0.0028 memory: 3208 2022/11/01 21:44:37 - mmengine - INFO - Epoch(val) [200][310/500] eta: 0:00:13 time: 0.0709 data_time: 0.0026 memory: 3208 2022/11/01 21:44:37 - mmengine - INFO - Epoch(val) [200][315/500] eta: 0:00:13 time: 0.0730 data_time: 0.0025 memory: 3208 2022/11/01 21:44:38 - mmengine - INFO - Epoch(val) [200][320/500] eta: 0:00:13 time: 0.0731 data_time: 0.0024 memory: 3208 2022/11/01 21:44:38 - mmengine - INFO - Epoch(val) [200][325/500] eta: 0:00:13 time: 0.0851 data_time: 0.0025 memory: 3208 2022/11/01 21:44:39 - mmengine - INFO - Epoch(val) [200][330/500] eta: 0:00:14 time: 0.0845 data_time: 0.0026 memory: 3208 2022/11/01 21:44:39 - mmengine - INFO - Epoch(val) [200][335/500] eta: 0:00:14 time: 0.0692 data_time: 0.0027 memory: 3208 2022/11/01 21:44:39 - mmengine - INFO - Epoch(val) [200][340/500] eta: 0:00:13 time: 0.0814 data_time: 0.0027 memory: 3208 2022/11/01 21:44:40 - mmengine - INFO - Epoch(val) [200][345/500] eta: 0:00:13 time: 0.0832 data_time: 0.0024 memory: 3208 2022/11/01 21:44:40 - mmengine - INFO - Epoch(val) [200][350/500] eta: 0:00:11 time: 0.0775 data_time: 0.0025 memory: 3208 2022/11/01 21:44:41 - mmengine - INFO - Epoch(val) [200][355/500] eta: 0:00:11 time: 0.0766 data_time: 0.0026 memory: 3208 2022/11/01 21:44:41 - mmengine - INFO - Epoch(val) [200][360/500] eta: 0:00:10 time: 0.0715 data_time: 0.0025 memory: 3208 2022/11/01 21:44:41 - mmengine - INFO - Epoch(val) [200][365/500] eta: 0:00:10 time: 0.0733 data_time: 0.0027 memory: 3208 2022/11/01 21:44:42 - mmengine - INFO - Epoch(val) [200][370/500] eta: 0:00:09 time: 0.0708 data_time: 0.0028 memory: 3208 2022/11/01 21:44:42 - mmengine - INFO - Epoch(val) [200][375/500] eta: 0:00:09 time: 0.0678 data_time: 0.0026 memory: 3208 2022/11/01 21:44:42 - mmengine - INFO - Epoch(val) [200][380/500] eta: 0:00:08 time: 0.0720 data_time: 0.0026 memory: 3208 2022/11/01 21:44:43 - mmengine - INFO - Epoch(val) [200][385/500] eta: 0:00:08 time: 0.0745 data_time: 0.0025 memory: 3208 2022/11/01 21:44:43 - mmengine - INFO - Epoch(val) [200][390/500] eta: 0:00:07 time: 0.0714 data_time: 0.0025 memory: 3208 2022/11/01 21:44:43 - mmengine - INFO - Epoch(val) [200][395/500] eta: 0:00:07 time: 0.0708 data_time: 0.0024 memory: 3208 2022/11/01 21:44:44 - mmengine - INFO - Epoch(val) [200][400/500] eta: 0:00:07 time: 0.0769 data_time: 0.0081 memory: 3208 2022/11/01 21:44:44 - mmengine - INFO - Epoch(val) [200][405/500] eta: 0:00:07 time: 0.0768 data_time: 0.0081 memory: 3208 2022/11/01 21:44:45 - mmengine - INFO - Epoch(val) [200][410/500] eta: 0:00:06 time: 0.0731 data_time: 0.0025 memory: 3208 2022/11/01 21:44:45 - mmengine - INFO - Epoch(val) [200][415/500] eta: 0:00:06 time: 0.0718 data_time: 0.0024 memory: 3208 2022/11/01 21:44:45 - mmengine - INFO - Epoch(val) [200][420/500] eta: 0:00:05 time: 0.0686 data_time: 0.0024 memory: 3208 2022/11/01 21:44:46 - mmengine - INFO - Epoch(val) [200][425/500] eta: 0:00:05 time: 0.0713 data_time: 0.0027 memory: 3208 2022/11/01 21:44:46 - mmengine - INFO - Epoch(val) [200][430/500] eta: 0:00:05 time: 0.0728 data_time: 0.0027 memory: 3208 2022/11/01 21:44:46 - mmengine - INFO - Epoch(val) [200][435/500] eta: 0:00:05 time: 0.0709 data_time: 0.0026 memory: 3208 2022/11/01 21:44:47 - mmengine - INFO - Epoch(val) [200][440/500] eta: 0:00:04 time: 0.0713 data_time: 0.0027 memory: 3208 2022/11/01 21:44:47 - mmengine - INFO - Epoch(val) [200][445/500] eta: 0:00:04 time: 0.0753 data_time: 0.0026 memory: 3208 2022/11/01 21:44:47 - mmengine - INFO - Epoch(val) [200][450/500] eta: 0:00:03 time: 0.0762 data_time: 0.0026 memory: 3208 2022/11/01 21:44:48 - mmengine - INFO - Epoch(val) [200][455/500] eta: 0:00:03 time: 0.0752 data_time: 0.0029 memory: 3208 2022/11/01 21:44:48 - mmengine - INFO - Epoch(val) [200][460/500] eta: 0:00:02 time: 0.0735 data_time: 0.0034 memory: 3208 2022/11/01 21:44:49 - mmengine - INFO - Epoch(val) [200][465/500] eta: 0:00:02 time: 0.0685 data_time: 0.0031 memory: 3208 2022/11/01 21:44:49 - mmengine - INFO - Epoch(val) [200][470/500] eta: 0:00:02 time: 0.0690 data_time: 0.0025 memory: 3208 2022/11/01 21:44:49 - mmengine - INFO - Epoch(val) [200][475/500] eta: 0:00:02 time: 0.0703 data_time: 0.0026 memory: 3208 2022/11/01 21:44:50 - mmengine - INFO - Epoch(val) [200][480/500] eta: 0:00:01 time: 0.0697 data_time: 0.0025 memory: 3208 2022/11/01 21:44:50 - mmengine - INFO - Epoch(val) [200][485/500] eta: 0:00:01 time: 0.0707 data_time: 0.0025 memory: 3208 2022/11/01 21:44:50 - mmengine - INFO - Epoch(val) [200][490/500] eta: 0:00:00 time: 0.0737 data_time: 0.0024 memory: 3208 2022/11/01 21:44:51 - mmengine - INFO - Epoch(val) [200][495/500] eta: 0:00:00 time: 0.0757 data_time: 0.0024 memory: 3208 2022/11/01 21:44:51 - mmengine - INFO - Epoch(val) [200][500/500] eta: 0:00:00 time: 0.0715 data_time: 0.0026 memory: 3208 2022/11/01 21:44:51 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 21:44:51 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8185, precision: 0.6811, hmean: 0.7435 2022/11/01 21:44:51 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8185, precision: 0.6811, hmean: 0.7435 2022/11/01 21:44:51 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8185, precision: 0.6811, hmean: 0.7435 2022/11/01 21:44:51 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8185, precision: 0.7140, hmean: 0.7627 2022/11/01 21:44:51 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8175, precision: 0.7618, hmean: 0.7887 2022/11/01 21:44:51 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8127, precision: 0.8004, hmean: 0.8065 2022/11/01 21:44:51 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7843, precision: 0.8702, hmean: 0.8250 2022/11/01 21:44:51 - mmengine - INFO - Epoch(val) [200][500/500] icdar/precision: 0.8702 icdar/recall: 0.7843 icdar/hmean: 0.8250 2022/11/01 21:46:31 - mmengine - INFO - Epoch(train) [201][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 10.3822 data_time: 9.5411 memory: 27783 loss: 0.2226 loss_text: 0.1535 loss_kernel: 0.0691 2022/11/01 21:46:36 - mmengine - INFO - Epoch(train) [201][10/63] lr: 1.0000e-05 eta: 16:32:30 time: 10.4661 data_time: 9.5540 memory: 27783 loss: 0.2305 loss_text: 0.1587 loss_kernel: 0.0718 2022/11/01 21:46:40 - mmengine - INFO - Epoch(train) [201][15/63] lr: 1.0000e-05 eta: 16:32:30 time: 0.9393 data_time: 0.0229 memory: 27783 loss: 0.2284 loss_text: 0.1578 loss_kernel: 0.0706 2022/11/01 21:46:45 - mmengine - INFO - Epoch(train) [201][20/63] lr: 1.0000e-05 eta: 16:31:37 time: 0.9137 data_time: 0.0161 memory: 27783 loss: 0.2197 loss_text: 0.1520 loss_kernel: 0.0677 2022/11/01 21:46:49 - mmengine - INFO - Epoch(train) [201][25/63] lr: 1.0000e-05 eta: 16:31:37 time: 0.9038 data_time: 0.0280 memory: 27783 loss: 0.2261 loss_text: 0.1583 loss_kernel: 0.0678 2022/11/01 21:46:54 - mmengine - INFO - Epoch(train) [201][30/63] lr: 1.0000e-05 eta: 16:30:45 time: 0.8984 data_time: 0.0178 memory: 27783 loss: 0.2024 loss_text: 0.1416 loss_kernel: 0.0608 2022/11/01 21:46:59 - mmengine - INFO - Epoch(train) [201][35/63] lr: 1.0000e-05 eta: 16:30:45 time: 0.9714 data_time: 0.0230 memory: 27783 loss: 0.1875 loss_text: 0.1292 loss_kernel: 0.0583 2022/11/01 21:47:04 - mmengine - INFO - Epoch(train) [201][40/63] lr: 1.0000e-05 eta: 16:29:54 time: 0.9849 data_time: 0.0240 memory: 27783 loss: 0.1853 loss_text: 0.1271 loss_kernel: 0.0582 2022/11/01 21:47:08 - mmengine - INFO - Epoch(train) [201][45/63] lr: 1.0000e-05 eta: 16:29:54 time: 0.9152 data_time: 0.0171 memory: 27783 loss: 0.2084 loss_text: 0.1432 loss_kernel: 0.0651 2022/11/01 21:47:13 - mmengine - INFO - Epoch(train) [201][50/63] lr: 1.0000e-05 eta: 16:29:02 time: 0.9558 data_time: 0.0328 memory: 27783 loss: 0.2283 loss_text: 0.1576 loss_kernel: 0.0707 2022/11/01 21:47:18 - mmengine - INFO - Epoch(train) [201][55/63] lr: 1.0000e-05 eta: 16:29:02 time: 0.9509 data_time: 0.0271 memory: 27783 loss: 0.2536 loss_text: 0.1751 loss_kernel: 0.0785 2022/11/01 21:47:23 - mmengine - INFO - Epoch(train) [201][60/63] lr: 1.0000e-05 eta: 16:28:10 time: 0.9234 data_time: 0.0216 memory: 27783 loss: 0.2502 loss_text: 0.1727 loss_kernel: 0.0775 2022/11/01 21:47:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:49:04 - mmengine - INFO - Epoch(train) [202][5/63] lr: 1.0000e-05 eta: 16:28:10 time: 10.3155 data_time: 9.4672 memory: 27783 loss: 0.2116 loss_text: 0.1469 loss_kernel: 0.0646 2022/11/01 21:49:09 - mmengine - INFO - Epoch(train) [202][10/63] lr: 1.0000e-05 eta: 16:30:04 time: 10.3859 data_time: 9.5034 memory: 27783 loss: 0.1969 loss_text: 0.1358 loss_kernel: 0.0611 2022/11/01 21:49:13 - mmengine - INFO - Epoch(train) [202][15/63] lr: 1.0000e-05 eta: 16:30:04 time: 0.9288 data_time: 0.0466 memory: 27783 loss: 0.2032 loss_text: 0.1418 loss_kernel: 0.0614 2022/11/01 21:49:18 - mmengine - INFO - Epoch(train) [202][20/63] lr: 1.0000e-05 eta: 16:29:13 time: 0.9527 data_time: 0.0506 memory: 27783 loss: 0.2019 loss_text: 0.1412 loss_kernel: 0.0607 2022/11/01 21:49:23 - mmengine - INFO - Epoch(train) [202][25/63] lr: 1.0000e-05 eta: 16:29:13 time: 0.9496 data_time: 0.0537 memory: 27783 loss: 0.1563 loss_text: 0.1061 loss_kernel: 0.0501 2022/11/01 21:49:28 - mmengine - INFO - Epoch(train) [202][30/63] lr: 1.0000e-05 eta: 16:28:21 time: 0.9335 data_time: 0.0184 memory: 27783 loss: 0.2004 loss_text: 0.1364 loss_kernel: 0.0639 2022/11/01 21:49:32 - mmengine - INFO - Epoch(train) [202][35/63] lr: 1.0000e-05 eta: 16:28:21 time: 0.9481 data_time: 0.0169 memory: 27783 loss: 0.2583 loss_text: 0.1776 loss_kernel: 0.0807 2022/11/01 21:49:37 - mmengine - INFO - Epoch(train) [202][40/63] lr: 1.0000e-05 eta: 16:27:29 time: 0.9295 data_time: 0.0159 memory: 27783 loss: 0.2368 loss_text: 0.1631 loss_kernel: 0.0737 2022/11/01 21:49:42 - mmengine - INFO - Epoch(train) [202][45/63] lr: 1.0000e-05 eta: 16:27:29 time: 0.9339 data_time: 0.0194 memory: 27783 loss: 0.2181 loss_text: 0.1498 loss_kernel: 0.0683 2022/11/01 21:49:46 - mmengine - INFO - Epoch(train) [202][50/63] lr: 1.0000e-05 eta: 16:26:37 time: 0.9100 data_time: 0.0242 memory: 27783 loss: 0.2103 loss_text: 0.1455 loss_kernel: 0.0648 2022/11/01 21:49:51 - mmengine - INFO - Epoch(train) [202][55/63] lr: 1.0000e-05 eta: 16:26:37 time: 0.8959 data_time: 0.0203 memory: 27783 loss: 0.2117 loss_text: 0.1479 loss_kernel: 0.0639 2022/11/01 21:49:55 - mmengine - INFO - Epoch(train) [202][60/63] lr: 1.0000e-05 eta: 16:25:45 time: 0.9121 data_time: 0.0182 memory: 27783 loss: 0.2153 loss_text: 0.1499 loss_kernel: 0.0654 2022/11/01 21:49:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:51:38 - mmengine - INFO - Epoch(train) [203][5/63] lr: 1.0000e-05 eta: 16:25:45 time: 10.4705 data_time: 9.5944 memory: 27783 loss: 0.1740 loss_text: 0.1187 loss_kernel: 0.0554 2022/11/01 21:51:43 - mmengine - INFO - Epoch(train) [203][10/63] lr: 1.0000e-05 eta: 16:27:41 time: 10.5179 data_time: 9.6004 memory: 27783 loss: 0.1901 loss_text: 0.1306 loss_kernel: 0.0595 2022/11/01 21:51:47 - mmengine - INFO - Epoch(train) [203][15/63] lr: 1.0000e-05 eta: 16:27:41 time: 0.9151 data_time: 0.0234 memory: 27783 loss: 0.2089 loss_text: 0.1454 loss_kernel: 0.0635 2022/11/01 21:51:52 - mmengine - INFO - Epoch(train) [203][20/63] lr: 1.0000e-05 eta: 16:26:49 time: 0.9493 data_time: 0.0251 memory: 27783 loss: 0.2062 loss_text: 0.1444 loss_kernel: 0.0618 2022/11/01 21:51:57 - mmengine - INFO - Epoch(train) [203][25/63] lr: 1.0000e-05 eta: 16:26:49 time: 0.9577 data_time: 0.0230 memory: 27783 loss: 0.1993 loss_text: 0.1382 loss_kernel: 0.0611 2022/11/01 21:52:02 - mmengine - INFO - Epoch(train) [203][30/63] lr: 1.0000e-05 eta: 16:25:57 time: 0.9327 data_time: 0.0189 memory: 27783 loss: 0.1948 loss_text: 0.1339 loss_kernel: 0.0609 2022/11/01 21:52:06 - mmengine - INFO - Epoch(train) [203][35/63] lr: 1.0000e-05 eta: 16:25:57 time: 0.9328 data_time: 0.0286 memory: 27783 loss: 0.2244 loss_text: 0.1538 loss_kernel: 0.0706 2022/11/01 21:52:11 - mmengine - INFO - Epoch(train) [203][40/63] lr: 1.0000e-05 eta: 16:25:05 time: 0.9181 data_time: 0.0194 memory: 27783 loss: 0.2183 loss_text: 0.1496 loss_kernel: 0.0686 2022/11/01 21:52:15 - mmengine - INFO - Epoch(train) [203][45/63] lr: 1.0000e-05 eta: 16:25:05 time: 0.9019 data_time: 0.0170 memory: 27783 loss: 0.1864 loss_text: 0.1280 loss_kernel: 0.0583 2022/11/01 21:52:20 - mmengine - INFO - Epoch(train) [203][50/63] lr: 1.0000e-05 eta: 16:24:13 time: 0.9015 data_time: 0.0270 memory: 27783 loss: 0.2268 loss_text: 0.1565 loss_kernel: 0.0703 2022/11/01 21:52:24 - mmengine - INFO - Epoch(train) [203][55/63] lr: 1.0000e-05 eta: 16:24:13 time: 0.8854 data_time: 0.0172 memory: 27783 loss: 0.2746 loss_text: 0.1892 loss_kernel: 0.0854 2022/11/01 21:52:29 - mmengine - INFO - Epoch(train) [203][60/63] lr: 1.0000e-05 eta: 16:23:21 time: 0.9083 data_time: 0.0135 memory: 27783 loss: 0.2715 loss_text: 0.1871 loss_kernel: 0.0844 2022/11/01 21:52:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:54:12 - mmengine - INFO - Epoch(train) [204][5/63] lr: 1.0000e-05 eta: 16:23:21 time: 10.4523 data_time: 9.5127 memory: 27783 loss: 0.2341 loss_text: 0.1616 loss_kernel: 0.0725 2022/11/01 21:54:17 - mmengine - INFO - Epoch(train) [204][10/63] lr: 1.0000e-05 eta: 16:25:16 time: 10.4907 data_time: 9.5381 memory: 27783 loss: 0.2316 loss_text: 0.1604 loss_kernel: 0.0713 2022/11/01 21:54:22 - mmengine - INFO - Epoch(train) [204][15/63] lr: 1.0000e-05 eta: 16:25:16 time: 1.0158 data_time: 0.0318 memory: 27783 loss: 0.1916 loss_text: 0.1319 loss_kernel: 0.0597 2022/11/01 21:54:26 - mmengine - INFO - Epoch(train) [204][20/63] lr: 1.0000e-05 eta: 16:24:25 time: 0.9666 data_time: 0.0175 memory: 27783 loss: 0.1579 loss_text: 0.1073 loss_kernel: 0.0506 2022/11/01 21:54:31 - mmengine - INFO - Epoch(train) [204][25/63] lr: 1.0000e-05 eta: 16:24:25 time: 0.9162 data_time: 0.0276 memory: 27783 loss: 0.1687 loss_text: 0.1149 loss_kernel: 0.0538 2022/11/01 21:54:35 - mmengine - INFO - Epoch(train) [204][30/63] lr: 1.0000e-05 eta: 16:23:33 time: 0.9104 data_time: 0.0175 memory: 27783 loss: 0.2176 loss_text: 0.1499 loss_kernel: 0.0677 2022/11/01 21:54:40 - mmengine - INFO - Epoch(train) [204][35/63] lr: 1.0000e-05 eta: 16:23:33 time: 0.9091 data_time: 0.0181 memory: 27783 loss: 0.2122 loss_text: 0.1452 loss_kernel: 0.0670 2022/11/01 21:54:44 - mmengine - INFO - Epoch(train) [204][40/63] lr: 1.0000e-05 eta: 16:22:40 time: 0.8923 data_time: 0.0179 memory: 27783 loss: 0.2384 loss_text: 0.1637 loss_kernel: 0.0747 2022/11/01 21:54:49 - mmengine - INFO - Epoch(train) [204][45/63] lr: 1.0000e-05 eta: 16:22:40 time: 0.9265 data_time: 0.0159 memory: 27783 loss: 0.2359 loss_text: 0.1634 loss_kernel: 0.0725 2022/11/01 21:54:54 - mmengine - INFO - Epoch(train) [204][50/63] lr: 1.0000e-05 eta: 16:21:49 time: 0.9429 data_time: 0.0253 memory: 27783 loss: 0.1782 loss_text: 0.1233 loss_kernel: 0.0549 2022/11/01 21:54:58 - mmengine - INFO - Epoch(train) [204][55/63] lr: 1.0000e-05 eta: 16:21:49 time: 0.9099 data_time: 0.0175 memory: 27783 loss: 0.1950 loss_text: 0.1345 loss_kernel: 0.0606 2022/11/01 21:55:03 - mmengine - INFO - Epoch(train) [204][60/63] lr: 1.0000e-05 eta: 16:20:58 time: 0.9131 data_time: 0.0150 memory: 27783 loss: 0.2106 loss_text: 0.1451 loss_kernel: 0.0655 2022/11/01 21:55:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:56:45 - mmengine - INFO - Epoch(train) [205][5/63] lr: 1.0000e-05 eta: 16:20:58 time: 10.3974 data_time: 9.5043 memory: 27783 loss: 0.1560 loss_text: 0.1066 loss_kernel: 0.0494 2022/11/01 21:56:50 - mmengine - INFO - Epoch(train) [205][10/63] lr: 1.0000e-05 eta: 16:22:50 time: 10.4417 data_time: 9.5170 memory: 27783 loss: 0.1636 loss_text: 0.1119 loss_kernel: 0.0517 2022/11/01 21:56:54 - mmengine - INFO - Epoch(train) [205][15/63] lr: 1.0000e-05 eta: 16:22:50 time: 0.9272 data_time: 0.0237 memory: 27783 loss: 0.1949 loss_text: 0.1341 loss_kernel: 0.0609 2022/11/01 21:56:59 - mmengine - INFO - Epoch(train) [205][20/63] lr: 1.0000e-05 eta: 16:21:58 time: 0.9250 data_time: 0.0183 memory: 27783 loss: 0.2318 loss_text: 0.1594 loss_kernel: 0.0723 2022/11/01 21:57:04 - mmengine - INFO - Epoch(train) [205][25/63] lr: 1.0000e-05 eta: 16:21:58 time: 0.9253 data_time: 0.0239 memory: 27783 loss: 0.2364 loss_text: 0.1631 loss_kernel: 0.0733 2022/11/01 21:57:09 - mmengine - INFO - Epoch(train) [205][30/63] lr: 1.0000e-05 eta: 16:21:08 time: 0.9708 data_time: 0.0203 memory: 27783 loss: 0.2366 loss_text: 0.1634 loss_kernel: 0.0732 2022/11/01 21:57:13 - mmengine - INFO - Epoch(train) [205][35/63] lr: 1.0000e-05 eta: 16:21:08 time: 0.9843 data_time: 0.0175 memory: 27783 loss: 0.2511 loss_text: 0.1737 loss_kernel: 0.0775 2022/11/01 21:57:18 - mmengine - INFO - Epoch(train) [205][40/63] lr: 1.0000e-05 eta: 16:20:17 time: 0.9320 data_time: 0.0179 memory: 27783 loss: 0.2241 loss_text: 0.1540 loss_kernel: 0.0702 2022/11/01 21:57:23 - mmengine - INFO - Epoch(train) [205][45/63] lr: 1.0000e-05 eta: 16:20:17 time: 0.9277 data_time: 0.0183 memory: 27783 loss: 0.1789 loss_text: 0.1220 loss_kernel: 0.0569 2022/11/01 21:57:27 - mmengine - INFO - Epoch(train) [205][50/63] lr: 1.0000e-05 eta: 16:19:25 time: 0.9157 data_time: 0.0243 memory: 27783 loss: 0.2104 loss_text: 0.1447 loss_kernel: 0.0658 2022/11/01 21:57:32 - mmengine - INFO - Epoch(train) [205][55/63] lr: 1.0000e-05 eta: 16:19:25 time: 0.8920 data_time: 0.0208 memory: 27783 loss: 0.2016 loss_text: 0.1381 loss_kernel: 0.0635 2022/11/01 21:57:36 - mmengine - INFO - Epoch(train) [205][60/63] lr: 1.0000e-05 eta: 16:18:33 time: 0.8878 data_time: 0.0152 memory: 27783 loss: 0.2104 loss_text: 0.1443 loss_kernel: 0.0661 2022/11/01 21:57:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 21:59:19 - mmengine - INFO - Epoch(train) [206][5/63] lr: 1.0000e-05 eta: 16:18:33 time: 10.4460 data_time: 9.4975 memory: 27783 loss: 0.1713 loss_text: 0.1176 loss_kernel: 0.0537 2022/11/01 21:59:24 - mmengine - INFO - Epoch(train) [206][10/63] lr: 1.0000e-05 eta: 16:20:26 time: 10.5188 data_time: 9.5064 memory: 27783 loss: 0.1675 loss_text: 0.1155 loss_kernel: 0.0521 2022/11/01 21:59:28 - mmengine - INFO - Epoch(train) [206][15/63] lr: 1.0000e-05 eta: 16:20:26 time: 0.9438 data_time: 0.0188 memory: 27783 loss: 0.1881 loss_text: 0.1288 loss_kernel: 0.0594 2022/11/01 21:59:33 - mmengine - INFO - Epoch(train) [206][20/63] lr: 1.0000e-05 eta: 16:19:35 time: 0.9322 data_time: 0.0179 memory: 27783 loss: 0.1982 loss_text: 0.1354 loss_kernel: 0.0628 2022/11/01 21:59:38 - mmengine - INFO - Epoch(train) [206][25/63] lr: 1.0000e-05 eta: 16:19:35 time: 0.9653 data_time: 0.0187 memory: 27783 loss: 0.2057 loss_text: 0.1403 loss_kernel: 0.0654 2022/11/01 21:59:43 - mmengine - INFO - Epoch(train) [206][30/63] lr: 1.0000e-05 eta: 16:18:45 time: 0.9874 data_time: 0.0174 memory: 27783 loss: 0.1975 loss_text: 0.1346 loss_kernel: 0.0629 2022/11/01 21:59:48 - mmengine - INFO - Epoch(train) [206][35/63] lr: 1.0000e-05 eta: 16:18:45 time: 0.9560 data_time: 0.0248 memory: 27783 loss: 0.1649 loss_text: 0.1133 loss_kernel: 0.0516 2022/11/01 21:59:52 - mmengine - INFO - Epoch(train) [206][40/63] lr: 1.0000e-05 eta: 16:17:53 time: 0.9197 data_time: 0.0155 memory: 27783 loss: 0.1722 loss_text: 0.1192 loss_kernel: 0.0530 2022/11/01 21:59:57 - mmengine - INFO - Epoch(train) [206][45/63] lr: 1.0000e-05 eta: 16:17:53 time: 0.9120 data_time: 0.0202 memory: 27783 loss: 0.2220 loss_text: 0.1534 loss_kernel: 0.0686 2022/11/01 22:00:01 - mmengine - INFO - Epoch(train) [206][50/63] lr: 1.0000e-05 eta: 16:17:02 time: 0.9140 data_time: 0.0294 memory: 27783 loss: 0.2414 loss_text: 0.1659 loss_kernel: 0.0756 2022/11/01 22:00:06 - mmengine - INFO - Epoch(train) [206][55/63] lr: 1.0000e-05 eta: 16:17:02 time: 0.8944 data_time: 0.0167 memory: 27783 loss: 0.2471 loss_text: 0.1695 loss_kernel: 0.0775 2022/11/01 22:00:10 - mmengine - INFO - Epoch(train) [206][60/63] lr: 1.0000e-05 eta: 16:16:10 time: 0.9066 data_time: 0.0139 memory: 27783 loss: 0.2132 loss_text: 0.1462 loss_kernel: 0.0670 2022/11/01 22:00:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:01:53 - mmengine - INFO - Epoch(train) [207][5/63] lr: 1.0000e-05 eta: 16:16:10 time: 10.3911 data_time: 9.4987 memory: 27783 loss: 0.2162 loss_text: 0.1488 loss_kernel: 0.0675 2022/11/01 22:01:57 - mmengine - INFO - Epoch(train) [207][10/63] lr: 1.0000e-05 eta: 16:18:00 time: 10.4073 data_time: 9.5092 memory: 27783 loss: 0.1999 loss_text: 0.1375 loss_kernel: 0.0624 2022/11/01 22:02:02 - mmengine - INFO - Epoch(train) [207][15/63] lr: 1.0000e-05 eta: 16:18:00 time: 0.9337 data_time: 0.0205 memory: 27783 loss: 0.2428 loss_text: 0.1679 loss_kernel: 0.0749 2022/11/01 22:02:06 - mmengine - INFO - Epoch(train) [207][20/63] lr: 1.0000e-05 eta: 16:17:09 time: 0.9261 data_time: 0.0189 memory: 27783 loss: 0.2624 loss_text: 0.1811 loss_kernel: 0.0813 2022/11/01 22:02:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:02:11 - mmengine - INFO - Epoch(train) [207][25/63] lr: 1.0000e-05 eta: 16:17:09 time: 0.9204 data_time: 0.0208 memory: 27783 loss: 0.2423 loss_text: 0.1665 loss_kernel: 0.0758 2022/11/01 22:02:16 - mmengine - INFO - Epoch(train) [207][30/63] lr: 1.0000e-05 eta: 16:16:18 time: 0.9440 data_time: 0.0241 memory: 27783 loss: 0.2328 loss_text: 0.1602 loss_kernel: 0.0725 2022/11/01 22:02:21 - mmengine - INFO - Epoch(train) [207][35/63] lr: 1.0000e-05 eta: 16:16:18 time: 0.9767 data_time: 0.0307 memory: 27783 loss: 0.2204 loss_text: 0.1509 loss_kernel: 0.0694 2022/11/01 22:02:25 - mmengine - INFO - Epoch(train) [207][40/63] lr: 1.0000e-05 eta: 16:15:28 time: 0.9547 data_time: 0.0228 memory: 27783 loss: 0.1878 loss_text: 0.1294 loss_kernel: 0.0584 2022/11/01 22:02:30 - mmengine - INFO - Epoch(train) [207][45/63] lr: 1.0000e-05 eta: 16:15:28 time: 0.9160 data_time: 0.0206 memory: 27783 loss: 0.2291 loss_text: 0.1590 loss_kernel: 0.0701 2022/11/01 22:02:34 - mmengine - INFO - Epoch(train) [207][50/63] lr: 1.0000e-05 eta: 16:14:36 time: 0.9063 data_time: 0.0218 memory: 27783 loss: 0.2897 loss_text: 0.2007 loss_kernel: 0.0890 2022/11/01 22:02:39 - mmengine - INFO - Epoch(train) [207][55/63] lr: 1.0000e-05 eta: 16:14:36 time: 0.9201 data_time: 0.0183 memory: 27783 loss: 0.2673 loss_text: 0.1852 loss_kernel: 0.0821 2022/11/01 22:02:44 - mmengine - INFO - Epoch(train) [207][60/63] lr: 1.0000e-05 eta: 16:13:46 time: 0.9457 data_time: 0.0185 memory: 27783 loss: 0.2164 loss_text: 0.1491 loss_kernel: 0.0673 2022/11/01 22:02:46 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:04:26 - mmengine - INFO - Epoch(train) [208][5/63] lr: 1.0000e-05 eta: 16:13:46 time: 10.3832 data_time: 9.5096 memory: 27783 loss: 0.1863 loss_text: 0.1282 loss_kernel: 0.0581 2022/11/01 22:04:31 - mmengine - INFO - Epoch(train) [208][10/63] lr: 1.0000e-05 eta: 16:15:36 time: 10.4913 data_time: 9.5276 memory: 27783 loss: 0.1823 loss_text: 0.1245 loss_kernel: 0.0577 2022/11/01 22:04:36 - mmengine - INFO - Epoch(train) [208][15/63] lr: 1.0000e-05 eta: 16:15:36 time: 0.9649 data_time: 0.0266 memory: 27783 loss: 0.1957 loss_text: 0.1336 loss_kernel: 0.0621 2022/11/01 22:04:40 - mmengine - INFO - Epoch(train) [208][20/63] lr: 1.0000e-05 eta: 16:14:45 time: 0.9014 data_time: 0.0186 memory: 27783 loss: 0.2008 loss_text: 0.1375 loss_kernel: 0.0632 2022/11/01 22:04:45 - mmengine - INFO - Epoch(train) [208][25/63] lr: 1.0000e-05 eta: 16:14:45 time: 0.9224 data_time: 0.0304 memory: 27783 loss: 0.1966 loss_text: 0.1346 loss_kernel: 0.0620 2022/11/01 22:04:49 - mmengine - INFO - Epoch(train) [208][30/63] lr: 1.0000e-05 eta: 16:13:54 time: 0.9096 data_time: 0.0215 memory: 27783 loss: 0.2025 loss_text: 0.1392 loss_kernel: 0.0633 2022/11/01 22:04:54 - mmengine - INFO - Epoch(train) [208][35/63] lr: 1.0000e-05 eta: 16:13:54 time: 0.9065 data_time: 0.0214 memory: 27783 loss: 0.2490 loss_text: 0.1737 loss_kernel: 0.0753 2022/11/01 22:04:59 - mmengine - INFO - Epoch(train) [208][40/63] lr: 1.0000e-05 eta: 16:13:02 time: 0.9091 data_time: 0.0176 memory: 27783 loss: 0.2323 loss_text: 0.1615 loss_kernel: 0.0709 2022/11/01 22:05:03 - mmengine - INFO - Epoch(train) [208][45/63] lr: 1.0000e-05 eta: 16:13:02 time: 0.9144 data_time: 0.0149 memory: 27783 loss: 0.1891 loss_text: 0.1295 loss_kernel: 0.0597 2022/11/01 22:05:09 - mmengine - INFO - Epoch(train) [208][50/63] lr: 1.0000e-05 eta: 16:12:14 time: 1.0271 data_time: 0.0277 memory: 27783 loss: 0.1599 loss_text: 0.1091 loss_kernel: 0.0508 2022/11/01 22:05:13 - mmengine - INFO - Epoch(train) [208][55/63] lr: 1.0000e-05 eta: 16:12:14 time: 1.0107 data_time: 0.0185 memory: 27783 loss: 0.1396 loss_text: 0.0958 loss_kernel: 0.0438 2022/11/01 22:05:18 - mmengine - INFO - Epoch(train) [208][60/63] lr: 1.0000e-05 eta: 16:11:23 time: 0.9193 data_time: 0.0142 memory: 27783 loss: 0.1690 loss_text: 0.1171 loss_kernel: 0.0519 2022/11/01 22:05:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:07:00 - mmengine - INFO - Epoch(train) [209][5/63] lr: 1.0000e-05 eta: 16:11:23 time: 10.3839 data_time: 9.4761 memory: 27783 loss: 0.2110 loss_text: 0.1454 loss_kernel: 0.0656 2022/11/01 22:07:05 - mmengine - INFO - Epoch(train) [209][10/63] lr: 1.0000e-05 eta: 16:13:11 time: 10.4426 data_time: 9.4967 memory: 27783 loss: 0.2413 loss_text: 0.1668 loss_kernel: 0.0745 2022/11/01 22:07:09 - mmengine - INFO - Epoch(train) [209][15/63] lr: 1.0000e-05 eta: 16:13:11 time: 0.9192 data_time: 0.0366 memory: 27783 loss: 0.2129 loss_text: 0.1465 loss_kernel: 0.0664 2022/11/01 22:07:14 - mmengine - INFO - Epoch(train) [209][20/63] lr: 1.0000e-05 eta: 16:12:20 time: 0.9067 data_time: 0.0239 memory: 27783 loss: 0.1891 loss_text: 0.1286 loss_kernel: 0.0605 2022/11/01 22:07:18 - mmengine - INFO - Epoch(train) [209][25/63] lr: 1.0000e-05 eta: 16:12:20 time: 0.9132 data_time: 0.0201 memory: 27783 loss: 0.2254 loss_text: 0.1560 loss_kernel: 0.0694 2022/11/01 22:07:23 - mmengine - INFO - Epoch(train) [209][30/63] lr: 1.0000e-05 eta: 16:11:29 time: 0.9187 data_time: 0.0244 memory: 27783 loss: 0.2131 loss_text: 0.1484 loss_kernel: 0.0648 2022/11/01 22:07:28 - mmengine - INFO - Epoch(train) [209][35/63] lr: 1.0000e-05 eta: 16:11:29 time: 0.9355 data_time: 0.0287 memory: 27783 loss: 0.2042 loss_text: 0.1411 loss_kernel: 0.0632 2022/11/01 22:07:32 - mmengine - INFO - Epoch(train) [209][40/63] lr: 1.0000e-05 eta: 16:10:39 time: 0.9421 data_time: 0.0209 memory: 27783 loss: 0.2197 loss_text: 0.1527 loss_kernel: 0.0671 2022/11/01 22:07:37 - mmengine - INFO - Epoch(train) [209][45/63] lr: 1.0000e-05 eta: 16:10:39 time: 0.9489 data_time: 0.0196 memory: 27783 loss: 0.1829 loss_text: 0.1269 loss_kernel: 0.0560 2022/11/01 22:07:42 - mmengine - INFO - Epoch(train) [209][50/63] lr: 1.0000e-05 eta: 16:09:48 time: 0.9294 data_time: 0.0207 memory: 27783 loss: 0.1931 loss_text: 0.1326 loss_kernel: 0.0605 2022/11/01 22:07:46 - mmengine - INFO - Epoch(train) [209][55/63] lr: 1.0000e-05 eta: 16:09:48 time: 0.8949 data_time: 0.0193 memory: 27783 loss: 0.2090 loss_text: 0.1437 loss_kernel: 0.0653 2022/11/01 22:07:51 - mmengine - INFO - Epoch(train) [209][60/63] lr: 1.0000e-05 eta: 16:08:57 time: 0.8938 data_time: 0.0172 memory: 27783 loss: 0.1869 loss_text: 0.1284 loss_kernel: 0.0585 2022/11/01 22:07:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:09:32 - mmengine - INFO - Epoch(train) [210][5/63] lr: 1.0000e-05 eta: 16:08:57 time: 10.3311 data_time: 9.4914 memory: 27783 loss: 0.2157 loss_text: 0.1488 loss_kernel: 0.0669 2022/11/01 22:09:37 - mmengine - INFO - Epoch(train) [210][10/63] lr: 1.0000e-05 eta: 16:10:44 time: 10.3913 data_time: 9.4990 memory: 27783 loss: 0.2305 loss_text: 0.1599 loss_kernel: 0.0705 2022/11/01 22:09:41 - mmengine - INFO - Epoch(train) [210][15/63] lr: 1.0000e-05 eta: 16:10:44 time: 0.9064 data_time: 0.0203 memory: 27783 loss: 0.2004 loss_text: 0.1383 loss_kernel: 0.0621 2022/11/01 22:09:47 - mmengine - INFO - Epoch(train) [210][20/63] lr: 1.0000e-05 eta: 16:09:55 time: 1.0361 data_time: 0.0247 memory: 27783 loss: 0.2074 loss_text: 0.1425 loss_kernel: 0.0650 2022/11/01 22:09:52 - mmengine - INFO - Epoch(train) [210][25/63] lr: 1.0000e-05 eta: 16:09:55 time: 1.0568 data_time: 0.0295 memory: 27783 loss: 0.2285 loss_text: 0.1567 loss_kernel: 0.0718 2022/11/01 22:09:57 - mmengine - INFO - Epoch(train) [210][30/63] lr: 1.0000e-05 eta: 16:09:05 time: 0.9442 data_time: 0.0204 memory: 27783 loss: 0.2200 loss_text: 0.1509 loss_kernel: 0.0692 2022/11/01 22:10:01 - mmengine - INFO - Epoch(train) [210][35/63] lr: 1.0000e-05 eta: 16:09:05 time: 0.9209 data_time: 0.0178 memory: 27783 loss: 0.2039 loss_text: 0.1400 loss_kernel: 0.0639 2022/11/01 22:10:06 - mmengine - INFO - Epoch(train) [210][40/63] lr: 1.0000e-05 eta: 16:08:14 time: 0.9180 data_time: 0.0170 memory: 27783 loss: 0.1983 loss_text: 0.1371 loss_kernel: 0.0612 2022/11/01 22:10:10 - mmengine - INFO - Epoch(train) [210][45/63] lr: 1.0000e-05 eta: 16:08:14 time: 0.9083 data_time: 0.0204 memory: 27783 loss: 0.2207 loss_text: 0.1527 loss_kernel: 0.0680 2022/11/01 22:10:15 - mmengine - INFO - Epoch(train) [210][50/63] lr: 1.0000e-05 eta: 16:07:24 time: 0.8969 data_time: 0.0213 memory: 27783 loss: 0.1998 loss_text: 0.1367 loss_kernel: 0.0631 2022/11/01 22:10:19 - mmengine - INFO - Epoch(train) [210][55/63] lr: 1.0000e-05 eta: 16:07:24 time: 0.8991 data_time: 0.0152 memory: 27783 loss: 0.1914 loss_text: 0.1313 loss_kernel: 0.0601 2022/11/01 22:10:24 - mmengine - INFO - Epoch(train) [210][60/63] lr: 1.0000e-05 eta: 16:06:33 time: 0.9205 data_time: 0.0202 memory: 27783 loss: 0.1967 loss_text: 0.1356 loss_kernel: 0.0612 2022/11/01 22:10:26 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:12:06 - mmengine - INFO - Epoch(train) [211][5/63] lr: 1.0000e-05 eta: 16:06:33 time: 10.3236 data_time: 9.4566 memory: 27783 loss: 0.2276 loss_text: 0.1571 loss_kernel: 0.0705 2022/11/01 22:12:10 - mmengine - INFO - Epoch(train) [211][10/63] lr: 1.0000e-05 eta: 16:08:18 time: 10.3670 data_time: 9.4600 memory: 27783 loss: 0.2009 loss_text: 0.1393 loss_kernel: 0.0616 2022/11/01 22:12:15 - mmengine - INFO - Epoch(train) [211][15/63] lr: 1.0000e-05 eta: 16:08:18 time: 0.9683 data_time: 0.0218 memory: 27783 loss: 0.2031 loss_text: 0.1418 loss_kernel: 0.0613 2022/11/01 22:12:20 - mmengine - INFO - Epoch(train) [211][20/63] lr: 1.0000e-05 eta: 16:07:28 time: 0.9761 data_time: 0.0317 memory: 27783 loss: 0.2284 loss_text: 0.1592 loss_kernel: 0.0693 2022/11/01 22:12:24 - mmengine - INFO - Epoch(train) [211][25/63] lr: 1.0000e-05 eta: 16:07:28 time: 0.9146 data_time: 0.0238 memory: 27783 loss: 0.2294 loss_text: 0.1582 loss_kernel: 0.0712 2022/11/01 22:12:29 - mmengine - INFO - Epoch(train) [211][30/63] lr: 1.0000e-05 eta: 16:06:38 time: 0.9343 data_time: 0.0186 memory: 27783 loss: 0.2081 loss_text: 0.1422 loss_kernel: 0.0659 2022/11/01 22:12:34 - mmengine - INFO - Epoch(train) [211][35/63] lr: 1.0000e-05 eta: 16:06:38 time: 0.9531 data_time: 0.0290 memory: 27783 loss: 0.2060 loss_text: 0.1403 loss_kernel: 0.0657 2022/11/01 22:12:38 - mmengine - INFO - Epoch(train) [211][40/63] lr: 1.0000e-05 eta: 16:05:48 time: 0.9137 data_time: 0.0178 memory: 27783 loss: 0.2052 loss_text: 0.1404 loss_kernel: 0.0648 2022/11/01 22:12:43 - mmengine - INFO - Epoch(train) [211][45/63] lr: 1.0000e-05 eta: 16:05:48 time: 0.9237 data_time: 0.0170 memory: 27783 loss: 0.1941 loss_text: 0.1330 loss_kernel: 0.0611 2022/11/01 22:12:48 - mmengine - INFO - Epoch(train) [211][50/63] lr: 1.0000e-05 eta: 16:04:58 time: 0.9191 data_time: 0.0223 memory: 27783 loss: 0.1839 loss_text: 0.1254 loss_kernel: 0.0585 2022/11/01 22:12:52 - mmengine - INFO - Epoch(train) [211][55/63] lr: 1.0000e-05 eta: 16:04:58 time: 0.9285 data_time: 0.0198 memory: 27783 loss: 0.2105 loss_text: 0.1450 loss_kernel: 0.0655 2022/11/01 22:12:57 - mmengine - INFO - Epoch(train) [211][60/63] lr: 1.0000e-05 eta: 16:04:08 time: 0.9666 data_time: 0.0225 memory: 27783 loss: 0.2368 loss_text: 0.1631 loss_kernel: 0.0737 2022/11/01 22:13:00 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:14:39 - mmengine - INFO - Epoch(train) [212][5/63] lr: 1.0000e-05 eta: 16:04:08 time: 10.3888 data_time: 9.4592 memory: 27783 loss: 0.2063 loss_text: 0.1410 loss_kernel: 0.0652 2022/11/01 22:14:44 - mmengine - INFO - Epoch(train) [212][10/63] lr: 1.0000e-05 eta: 16:05:53 time: 10.4277 data_time: 9.4558 memory: 27783 loss: 0.2171 loss_text: 0.1496 loss_kernel: 0.0675 2022/11/01 22:14:49 - mmengine - INFO - Epoch(train) [212][15/63] lr: 1.0000e-05 eta: 16:05:53 time: 0.9427 data_time: 0.0173 memory: 27783 loss: 0.2063 loss_text: 0.1416 loss_kernel: 0.0647 2022/11/01 22:14:54 - mmengine - INFO - Epoch(train) [212][20/63] lr: 1.0000e-05 eta: 16:05:04 time: 0.9542 data_time: 0.0308 memory: 27783 loss: 0.1695 loss_text: 0.1152 loss_kernel: 0.0543 2022/11/01 22:14:58 - mmengine - INFO - Epoch(train) [212][25/63] lr: 1.0000e-05 eta: 16:05:04 time: 0.9204 data_time: 0.0224 memory: 27783 loss: 0.1852 loss_text: 0.1265 loss_kernel: 0.0587 2022/11/01 22:15:02 - mmengine - INFO - Epoch(train) [212][30/63] lr: 1.0000e-05 eta: 16:04:13 time: 0.8931 data_time: 0.0161 memory: 27783 loss: 0.1922 loss_text: 0.1312 loss_kernel: 0.0610 2022/11/01 22:15:07 - mmengine - INFO - Epoch(train) [212][35/63] lr: 1.0000e-05 eta: 16:04:13 time: 0.9346 data_time: 0.0214 memory: 27783 loss: 0.2199 loss_text: 0.1509 loss_kernel: 0.0691 2022/11/01 22:15:12 - mmengine - INFO - Epoch(train) [212][40/63] lr: 1.0000e-05 eta: 16:03:23 time: 0.9207 data_time: 0.0173 memory: 27783 loss: 0.2636 loss_text: 0.1820 loss_kernel: 0.0816 2022/11/01 22:15:16 - mmengine - INFO - Epoch(train) [212][45/63] lr: 1.0000e-05 eta: 16:03:23 time: 0.9002 data_time: 0.0223 memory: 27783 loss: 0.2591 loss_text: 0.1798 loss_kernel: 0.0793 2022/11/01 22:15:21 - mmengine - INFO - Epoch(train) [212][50/63] lr: 1.0000e-05 eta: 16:02:33 time: 0.9400 data_time: 0.0186 memory: 27783 loss: 0.2082 loss_text: 0.1447 loss_kernel: 0.0635 2022/11/01 22:15:26 - mmengine - INFO - Epoch(train) [212][55/63] lr: 1.0000e-05 eta: 16:02:33 time: 0.9679 data_time: 0.0157 memory: 27783 loss: 0.1676 loss_text: 0.1149 loss_kernel: 0.0528 2022/11/01 22:15:30 - mmengine - INFO - Epoch(train) [212][60/63] lr: 1.0000e-05 eta: 16:01:43 time: 0.9415 data_time: 0.0208 memory: 27783 loss: 0.1581 loss_text: 0.1069 loss_kernel: 0.0512 2022/11/01 22:15:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:17:13 - mmengine - INFO - Epoch(train) [213][5/63] lr: 1.0000e-05 eta: 16:01:43 time: 10.4414 data_time: 9.4813 memory: 27783 loss: 0.1710 loss_text: 0.1157 loss_kernel: 0.0553 2022/11/01 22:17:18 - mmengine - INFO - Epoch(train) [213][10/63] lr: 1.0000e-05 eta: 16:03:28 time: 10.4947 data_time: 9.4838 memory: 27783 loss: 0.1902 loss_text: 0.1296 loss_kernel: 0.0605 2022/11/01 22:17:22 - mmengine - INFO - Epoch(train) [213][15/63] lr: 1.0000e-05 eta: 16:03:28 time: 0.9197 data_time: 0.0217 memory: 27783 loss: 0.1993 loss_text: 0.1363 loss_kernel: 0.0630 2022/11/01 22:17:27 - mmengine - INFO - Epoch(train) [213][20/63] lr: 1.0000e-05 eta: 16:02:38 time: 0.9027 data_time: 0.0175 memory: 27783 loss: 0.1839 loss_text: 0.1268 loss_kernel: 0.0571 2022/11/01 22:17:31 - mmengine - INFO - Epoch(train) [213][25/63] lr: 1.0000e-05 eta: 16:02:38 time: 0.9097 data_time: 0.0248 memory: 27783 loss: 0.1921 loss_text: 0.1329 loss_kernel: 0.0593 2022/11/01 22:17:36 - mmengine - INFO - Epoch(train) [213][30/63] lr: 1.0000e-05 eta: 16:01:48 time: 0.9156 data_time: 0.0223 memory: 27783 loss: 0.2052 loss_text: 0.1408 loss_kernel: 0.0645 2022/11/01 22:17:41 - mmengine - INFO - Epoch(train) [213][35/63] lr: 1.0000e-05 eta: 16:01:48 time: 0.9280 data_time: 0.0196 memory: 27783 loss: 0.1592 loss_text: 0.1095 loss_kernel: 0.0498 2022/11/01 22:17:46 - mmengine - INFO - Epoch(train) [213][40/63] lr: 1.0000e-05 eta: 16:00:59 time: 0.9881 data_time: 0.0213 memory: 27783 loss: 0.1730 loss_text: 0.1203 loss_kernel: 0.0527 2022/11/01 22:17:51 - mmengine - INFO - Epoch(train) [213][45/63] lr: 1.0000e-05 eta: 16:00:59 time: 0.9982 data_time: 0.0209 memory: 27783 loss: 0.2063 loss_text: 0.1433 loss_kernel: 0.0630 2022/11/01 22:17:55 - mmengine - INFO - Epoch(train) [213][50/63] lr: 1.0000e-05 eta: 16:00:10 time: 0.9332 data_time: 0.0228 memory: 27783 loss: 0.2176 loss_text: 0.1493 loss_kernel: 0.0683 2022/11/01 22:18:00 - mmengine - INFO - Epoch(train) [213][55/63] lr: 1.0000e-05 eta: 16:00:10 time: 0.9393 data_time: 0.0208 memory: 27783 loss: 0.1950 loss_text: 0.1328 loss_kernel: 0.0622 2022/11/01 22:18:04 - mmengine - INFO - Epoch(train) [213][60/63] lr: 1.0000e-05 eta: 15:59:20 time: 0.9199 data_time: 0.0159 memory: 27783 loss: 0.2239 loss_text: 0.1541 loss_kernel: 0.0698 2022/11/01 22:18:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:19:46 - mmengine - INFO - Epoch(train) [214][5/63] lr: 1.0000e-05 eta: 15:59:20 time: 10.2826 data_time: 9.4586 memory: 27783 loss: 0.2470 loss_text: 0.1683 loss_kernel: 0.0787 2022/11/01 22:19:50 - mmengine - INFO - Epoch(train) [214][10/63] lr: 1.0000e-05 eta: 16:01:01 time: 10.3518 data_time: 9.4578 memory: 27783 loss: 0.2001 loss_text: 0.1365 loss_kernel: 0.0636 2022/11/01 22:19:55 - mmengine - INFO - Epoch(train) [214][15/63] lr: 1.0000e-05 eta: 16:01:01 time: 0.9112 data_time: 0.0170 memory: 27783 loss: 0.1804 loss_text: 0.1235 loss_kernel: 0.0569 2022/11/01 22:19:59 - mmengine - INFO - Epoch(train) [214][20/63] lr: 1.0000e-05 eta: 16:00:11 time: 0.9151 data_time: 0.0259 memory: 27783 loss: 0.1946 loss_text: 0.1327 loss_kernel: 0.0619 2022/11/01 22:20:04 - mmengine - INFO - Epoch(train) [214][25/63] lr: 1.0000e-05 eta: 16:00:11 time: 0.9645 data_time: 0.0211 memory: 27783 loss: 0.1989 loss_text: 0.1363 loss_kernel: 0.0626 2022/11/01 22:20:09 - mmengine - INFO - Epoch(train) [214][30/63] lr: 1.0000e-05 eta: 15:59:23 time: 0.9753 data_time: 0.0184 memory: 27783 loss: 0.1717 loss_text: 0.1175 loss_kernel: 0.0542 2022/11/01 22:20:14 - mmengine - INFO - Epoch(train) [214][35/63] lr: 1.0000e-05 eta: 15:59:23 time: 0.9659 data_time: 0.0278 memory: 27783 loss: 0.1654 loss_text: 0.1132 loss_kernel: 0.0522 2022/11/01 22:20:19 - mmengine - INFO - Epoch(train) [214][40/63] lr: 1.0000e-05 eta: 15:58:33 time: 0.9486 data_time: 0.0202 memory: 27783 loss: 0.1842 loss_text: 0.1275 loss_kernel: 0.0566 2022/11/01 22:20:23 - mmengine - INFO - Epoch(train) [214][45/63] lr: 1.0000e-05 eta: 15:58:33 time: 0.9060 data_time: 0.0162 memory: 27783 loss: 0.2252 loss_text: 0.1558 loss_kernel: 0.0695 2022/11/01 22:20:28 - mmengine - INFO - Epoch(train) [214][50/63] lr: 1.0000e-05 eta: 15:57:44 time: 0.9296 data_time: 0.0204 memory: 27783 loss: 0.2190 loss_text: 0.1501 loss_kernel: 0.0689 2022/11/01 22:20:32 - mmengine - INFO - Epoch(train) [214][55/63] lr: 1.0000e-05 eta: 15:57:44 time: 0.9258 data_time: 0.0186 memory: 27783 loss: 0.2052 loss_text: 0.1408 loss_kernel: 0.0644 2022/11/01 22:20:37 - mmengine - INFO - Epoch(train) [214][60/63] lr: 1.0000e-05 eta: 15:56:54 time: 0.8988 data_time: 0.0211 memory: 27783 loss: 0.2041 loss_text: 0.1409 loss_kernel: 0.0632 2022/11/01 22:20:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:22:19 - mmengine - INFO - Epoch(train) [215][5/63] lr: 1.0000e-05 eta: 15:56:54 time: 10.3602 data_time: 9.4950 memory: 27783 loss: 0.2468 loss_text: 0.1706 loss_kernel: 0.0762 2022/11/01 22:22:23 - mmengine - INFO - Epoch(train) [215][10/63] lr: 1.0000e-05 eta: 15:58:35 time: 10.3804 data_time: 9.4948 memory: 27783 loss: 0.2288 loss_text: 0.1584 loss_kernel: 0.0704 2022/11/01 22:22:28 - mmengine - INFO - Epoch(train) [215][15/63] lr: 1.0000e-05 eta: 15:58:35 time: 0.9019 data_time: 0.0178 memory: 27783 loss: 0.2157 loss_text: 0.1502 loss_kernel: 0.0655 2022/11/01 22:22:32 - mmengine - INFO - Epoch(train) [215][20/63] lr: 1.0000e-05 eta: 15:57:45 time: 0.9079 data_time: 0.0174 memory: 27783 loss: 0.1905 loss_text: 0.1319 loss_kernel: 0.0586 2022/11/01 22:22:37 - mmengine - INFO - Epoch(train) [215][25/63] lr: 1.0000e-05 eta: 15:57:45 time: 0.9111 data_time: 0.0208 memory: 27783 loss: 0.2120 loss_text: 0.1463 loss_kernel: 0.0657 2022/11/01 22:22:42 - mmengine - INFO - Epoch(train) [215][30/63] lr: 1.0000e-05 eta: 15:56:55 time: 0.9100 data_time: 0.0247 memory: 27783 loss: 0.2147 loss_text: 0.1478 loss_kernel: 0.0669 2022/11/01 22:22:46 - mmengine - INFO - Epoch(train) [215][35/63] lr: 1.0000e-05 eta: 15:56:55 time: 0.9155 data_time: 0.0245 memory: 27783 loss: 0.1883 loss_text: 0.1292 loss_kernel: 0.0592 2022/11/01 22:22:51 - mmengine - INFO - Epoch(train) [215][40/63] lr: 1.0000e-05 eta: 15:56:06 time: 0.9168 data_time: 0.0202 memory: 27783 loss: 0.2161 loss_text: 0.1502 loss_kernel: 0.0659 2022/11/01 22:22:56 - mmengine - INFO - Epoch(train) [215][45/63] lr: 1.0000e-05 eta: 15:56:06 time: 0.9382 data_time: 0.0230 memory: 27783 loss: 0.2350 loss_text: 0.1633 loss_kernel: 0.0716 2022/11/01 22:23:01 - mmengine - INFO - Epoch(train) [215][50/63] lr: 1.0000e-05 eta: 15:55:18 time: 1.0107 data_time: 0.0228 memory: 27783 loss: 0.2178 loss_text: 0.1504 loss_kernel: 0.0674 2022/11/01 22:23:05 - mmengine - INFO - Epoch(train) [215][55/63] lr: 1.0000e-05 eta: 15:55:18 time: 0.9859 data_time: 0.0194 memory: 27783 loss: 0.2169 loss_text: 0.1492 loss_kernel: 0.0677 2022/11/01 22:23:10 - mmengine - INFO - Epoch(train) [215][60/63] lr: 1.0000e-05 eta: 15:54:28 time: 0.9227 data_time: 0.0191 memory: 27783 loss: 0.2342 loss_text: 0.1615 loss_kernel: 0.0726 2022/11/01 22:23:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:24:52 - mmengine - INFO - Epoch(train) [216][5/63] lr: 1.0000e-05 eta: 15:54:28 time: 10.3411 data_time: 9.4666 memory: 27783 loss: 0.1616 loss_text: 0.1102 loss_kernel: 0.0514 2022/11/01 22:24:57 - mmengine - INFO - Epoch(train) [216][10/63] lr: 1.0000e-05 eta: 15:56:09 time: 10.4044 data_time: 9.4752 memory: 27783 loss: 0.1769 loss_text: 0.1210 loss_kernel: 0.0559 2022/11/01 22:25:01 - mmengine - INFO - Epoch(train) [216][15/63] lr: 1.0000e-05 eta: 15:56:09 time: 0.9222 data_time: 0.0179 memory: 27783 loss: 0.1993 loss_text: 0.1362 loss_kernel: 0.0632 2022/11/01 22:25:06 - mmengine - INFO - Epoch(train) [216][20/63] lr: 1.0000e-05 eta: 15:55:19 time: 0.9160 data_time: 0.0188 memory: 27783 loss: 0.1955 loss_text: 0.1334 loss_kernel: 0.0621 2022/11/01 22:25:11 - mmengine - INFO - Epoch(train) [216][25/63] lr: 1.0000e-05 eta: 15:55:19 time: 0.9460 data_time: 0.0304 memory: 27783 loss: 0.1595 loss_text: 0.1092 loss_kernel: 0.0504 2022/11/01 22:25:15 - mmengine - INFO - Epoch(train) [216][30/63] lr: 1.0000e-05 eta: 15:54:30 time: 0.9333 data_time: 0.0176 memory: 27783 loss: 0.1997 loss_text: 0.1371 loss_kernel: 0.0626 2022/11/01 22:25:20 - mmengine - INFO - Epoch(train) [216][35/63] lr: 1.0000e-05 eta: 15:54:30 time: 0.9131 data_time: 0.0157 memory: 27783 loss: 0.2092 loss_text: 0.1435 loss_kernel: 0.0657 2022/11/01 22:25:24 - mmengine - INFO - Epoch(train) [216][40/63] lr: 1.0000e-05 eta: 15:53:40 time: 0.8976 data_time: 0.0177 memory: 27783 loss: 0.2054 loss_text: 0.1416 loss_kernel: 0.0639 2022/11/01 22:25:29 - mmengine - INFO - Epoch(train) [216][45/63] lr: 1.0000e-05 eta: 15:53:40 time: 0.9214 data_time: 0.0223 memory: 27783 loss: 0.2227 loss_text: 0.1530 loss_kernel: 0.0698 2022/11/01 22:25:33 - mmengine - INFO - Epoch(train) [216][50/63] lr: 1.0000e-05 eta: 15:52:51 time: 0.9401 data_time: 0.0331 memory: 27783 loss: 0.2044 loss_text: 0.1397 loss_kernel: 0.0647 2022/11/01 22:25:38 - mmengine - INFO - Epoch(train) [216][55/63] lr: 1.0000e-05 eta: 15:52:51 time: 0.9054 data_time: 0.0185 memory: 27783 loss: 0.1910 loss_text: 0.1319 loss_kernel: 0.0591 2022/11/01 22:25:43 - mmengine - INFO - Epoch(train) [216][60/63] lr: 1.0000e-05 eta: 15:52:02 time: 0.9105 data_time: 0.0152 memory: 27783 loss: 0.2068 loss_text: 0.1430 loss_kernel: 0.0638 2022/11/01 22:25:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:27:25 - mmengine - INFO - Epoch(train) [217][5/63] lr: 1.0000e-05 eta: 15:52:02 time: 10.3682 data_time: 9.4895 memory: 27783 loss: 0.1523 loss_text: 0.1039 loss_kernel: 0.0485 2022/11/01 22:27:29 - mmengine - INFO - Epoch(train) [217][10/63] lr: 1.0000e-05 eta: 15:53:42 time: 10.4237 data_time: 9.5046 memory: 27783 loss: 0.1702 loss_text: 0.1172 loss_kernel: 0.0530 2022/11/01 22:27:34 - mmengine - INFO - Epoch(train) [217][15/63] lr: 1.0000e-05 eta: 15:53:42 time: 0.9395 data_time: 0.0280 memory: 27783 loss: 0.2086 loss_text: 0.1432 loss_kernel: 0.0654 2022/11/01 22:27:39 - mmengine - INFO - Epoch(train) [217][20/63] lr: 1.0000e-05 eta: 15:52:53 time: 0.9307 data_time: 0.0237 memory: 27783 loss: 0.2059 loss_text: 0.1418 loss_kernel: 0.0641 2022/11/01 22:27:43 - mmengine - INFO - Epoch(train) [217][25/63] lr: 1.0000e-05 eta: 15:52:53 time: 0.9223 data_time: 0.0201 memory: 27783 loss: 0.1898 loss_text: 0.1316 loss_kernel: 0.0582 2022/11/01 22:27:48 - mmengine - INFO - Epoch(train) [217][30/63] lr: 1.0000e-05 eta: 15:52:03 time: 0.9048 data_time: 0.0161 memory: 27783 loss: 0.2151 loss_text: 0.1485 loss_kernel: 0.0666 2022/11/01 22:27:52 - mmengine - INFO - Epoch(train) [217][35/63] lr: 1.0000e-05 eta: 15:52:03 time: 0.8945 data_time: 0.0226 memory: 27783 loss: 0.2649 loss_text: 0.1838 loss_kernel: 0.0811 2022/11/01 22:27:57 - mmengine - INFO - Epoch(train) [217][40/63] lr: 1.0000e-05 eta: 15:51:14 time: 0.9236 data_time: 0.0230 memory: 27783 loss: 0.2323 loss_text: 0.1612 loss_kernel: 0.0711 2022/11/01 22:28:02 - mmengine - INFO - Epoch(train) [217][45/63] lr: 1.0000e-05 eta: 15:51:14 time: 0.9461 data_time: 0.0225 memory: 27783 loss: 0.2014 loss_text: 0.1391 loss_kernel: 0.0623 2022/11/01 22:28:06 - mmengine - INFO - Epoch(train) [217][50/63] lr: 1.0000e-05 eta: 15:50:25 time: 0.9431 data_time: 0.0206 memory: 27783 loss: 0.2147 loss_text: 0.1479 loss_kernel: 0.0667 2022/11/01 22:28:11 - mmengine - INFO - Epoch(train) [217][55/63] lr: 1.0000e-05 eta: 15:50:25 time: 0.9234 data_time: 0.0189 memory: 27783 loss: 0.2044 loss_text: 0.1405 loss_kernel: 0.0639 2022/11/01 22:28:15 - mmengine - INFO - Epoch(train) [217][60/63] lr: 1.0000e-05 eta: 15:49:36 time: 0.9034 data_time: 0.0202 memory: 27783 loss: 0.1846 loss_text: 0.1266 loss_kernel: 0.0580 2022/11/01 22:28:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:29:57 - mmengine - INFO - Epoch(train) [218][5/63] lr: 1.0000e-05 eta: 15:49:36 time: 10.3255 data_time: 9.4717 memory: 27783 loss: 0.1457 loss_text: 0.0998 loss_kernel: 0.0459 2022/11/01 22:30:02 - mmengine - INFO - Epoch(train) [218][10/63] lr: 1.0000e-05 eta: 15:51:14 time: 10.3648 data_time: 9.4739 memory: 27783 loss: 0.1869 loss_text: 0.1289 loss_kernel: 0.0580 2022/11/01 22:30:06 - mmengine - INFO - Epoch(train) [218][15/63] lr: 1.0000e-05 eta: 15:51:14 time: 0.9060 data_time: 0.0182 memory: 27783 loss: 0.2129 loss_text: 0.1469 loss_kernel: 0.0660 2022/11/01 22:30:11 - mmengine - INFO - Epoch(train) [218][20/63] lr: 1.0000e-05 eta: 15:50:24 time: 0.9079 data_time: 0.0232 memory: 27783 loss: 0.1819 loss_text: 0.1246 loss_kernel: 0.0573 2022/11/01 22:30:15 - mmengine - INFO - Epoch(train) [218][25/63] lr: 1.0000e-05 eta: 15:50:24 time: 0.9069 data_time: 0.0211 memory: 27783 loss: 0.1991 loss_text: 0.1358 loss_kernel: 0.0633 2022/11/01 22:30:20 - mmengine - INFO - Epoch(train) [218][30/63] lr: 1.0000e-05 eta: 15:49:36 time: 0.9394 data_time: 0.0201 memory: 27783 loss: 0.2482 loss_text: 0.1710 loss_kernel: 0.0772 2022/11/01 22:30:25 - mmengine - INFO - Epoch(train) [218][35/63] lr: 1.0000e-05 eta: 15:49:36 time: 1.0147 data_time: 0.0305 memory: 27783 loss: 0.2343 loss_text: 0.1612 loss_kernel: 0.0731 2022/11/01 22:30:30 - mmengine - INFO - Epoch(train) [218][40/63] lr: 1.0000e-05 eta: 15:48:48 time: 0.9935 data_time: 0.0238 memory: 27783 loss: 0.2150 loss_text: 0.1476 loss_kernel: 0.0674 2022/11/01 22:30:35 - mmengine - INFO - Epoch(train) [218][45/63] lr: 1.0000e-05 eta: 15:48:48 time: 0.9282 data_time: 0.0237 memory: 27783 loss: 0.2194 loss_text: 0.1506 loss_kernel: 0.0687 2022/11/01 22:30:39 - mmengine - INFO - Epoch(train) [218][50/63] lr: 1.0000e-05 eta: 15:47:59 time: 0.9205 data_time: 0.0248 memory: 27783 loss: 0.2131 loss_text: 0.1459 loss_kernel: 0.0672 2022/11/01 22:30:43 - mmengine - INFO - Epoch(train) [218][55/63] lr: 1.0000e-05 eta: 15:47:59 time: 0.8939 data_time: 0.0160 memory: 27783 loss: 0.2268 loss_text: 0.1562 loss_kernel: 0.0707 2022/11/01 22:30:48 - mmengine - INFO - Epoch(train) [218][60/63] lr: 1.0000e-05 eta: 15:47:10 time: 0.8943 data_time: 0.0167 memory: 27783 loss: 0.2065 loss_text: 0.1429 loss_kernel: 0.0636 2022/11/01 22:30:50 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:32:30 - mmengine - INFO - Epoch(train) [219][5/63] lr: 1.0000e-05 eta: 15:47:10 time: 10.3276 data_time: 9.4805 memory: 27783 loss: 0.2077 loss_text: 0.1434 loss_kernel: 0.0643 2022/11/01 22:32:34 - mmengine - INFO - Epoch(train) [219][10/63] lr: 1.0000e-05 eta: 15:48:46 time: 10.3527 data_time: 9.4835 memory: 27783 loss: 0.2183 loss_text: 0.1510 loss_kernel: 0.0673 2022/11/01 22:32:39 - mmengine - INFO - Epoch(train) [219][15/63] lr: 1.0000e-05 eta: 15:48:46 time: 0.9031 data_time: 0.0217 memory: 27783 loss: 0.1966 loss_text: 0.1359 loss_kernel: 0.0607 2022/11/01 22:32:44 - mmengine - INFO - Epoch(train) [219][20/63] lr: 1.0000e-05 eta: 15:47:58 time: 0.9518 data_time: 0.0244 memory: 27783 loss: 0.2008 loss_text: 0.1389 loss_kernel: 0.0619 2022/11/01 22:32:49 - mmengine - INFO - Epoch(train) [219][25/63] lr: 1.0000e-05 eta: 15:47:58 time: 0.9860 data_time: 0.0180 memory: 27783 loss: 0.2197 loss_text: 0.1511 loss_kernel: 0.0686 2022/11/01 22:32:53 - mmengine - INFO - Epoch(train) [219][30/63] lr: 1.0000e-05 eta: 15:47:10 time: 0.9688 data_time: 0.0182 memory: 27783 loss: 0.2194 loss_text: 0.1503 loss_kernel: 0.0691 2022/11/01 22:32:58 - mmengine - INFO - Epoch(train) [219][35/63] lr: 1.0000e-05 eta: 15:47:10 time: 0.9357 data_time: 0.0231 memory: 27783 loss: 0.2379 loss_text: 0.1631 loss_kernel: 0.0747 2022/11/01 22:33:02 - mmengine - INFO - Epoch(train) [219][40/63] lr: 1.0000e-05 eta: 15:46:21 time: 0.9145 data_time: 0.0161 memory: 27783 loss: 0.2257 loss_text: 0.1554 loss_kernel: 0.0703 2022/11/01 22:33:07 - mmengine - INFO - Epoch(train) [219][45/63] lr: 1.0000e-05 eta: 15:46:21 time: 0.9280 data_time: 0.0184 memory: 27783 loss: 0.2021 loss_text: 0.1406 loss_kernel: 0.0616 2022/11/01 22:33:12 - mmengine - INFO - Epoch(train) [219][50/63] lr: 1.0000e-05 eta: 15:45:33 time: 0.9410 data_time: 0.0258 memory: 27783 loss: 0.1666 loss_text: 0.1153 loss_kernel: 0.0514 2022/11/01 22:33:16 - mmengine - INFO - Epoch(train) [219][55/63] lr: 1.0000e-05 eta: 15:45:33 time: 0.9124 data_time: 0.0211 memory: 27783 loss: 0.1501 loss_text: 0.1026 loss_kernel: 0.0475 2022/11/01 22:33:21 - mmengine - INFO - Epoch(train) [219][60/63] lr: 1.0000e-05 eta: 15:44:44 time: 0.9443 data_time: 0.0225 memory: 27783 loss: 0.1963 loss_text: 0.1346 loss_kernel: 0.0617 2022/11/01 22:33:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:35:04 - mmengine - INFO - Epoch(train) [220][5/63] lr: 1.0000e-05 eta: 15:44:44 time: 10.4190 data_time: 9.5012 memory: 27783 loss: 0.2552 loss_text: 0.1753 loss_kernel: 0.0799 2022/11/01 22:35:08 - mmengine - INFO - Epoch(train) [220][10/63] lr: 1.0000e-05 eta: 15:46:23 time: 10.4881 data_time: 9.5051 memory: 27783 loss: 0.2006 loss_text: 0.1369 loss_kernel: 0.0637 2022/11/01 22:35:13 - mmengine - INFO - Epoch(train) [220][15/63] lr: 1.0000e-05 eta: 15:46:23 time: 0.9231 data_time: 0.0197 memory: 27783 loss: 0.1654 loss_text: 0.1121 loss_kernel: 0.0533 2022/11/01 22:35:18 - mmengine - INFO - Epoch(train) [220][20/63] lr: 1.0000e-05 eta: 15:45:34 time: 0.9332 data_time: 0.0193 memory: 27783 loss: 0.1828 loss_text: 0.1245 loss_kernel: 0.0583 2022/11/01 22:35:22 - mmengine - INFO - Epoch(train) [220][25/63] lr: 1.0000e-05 eta: 15:45:34 time: 0.9471 data_time: 0.0255 memory: 27783 loss: 0.1700 loss_text: 0.1162 loss_kernel: 0.0537 2022/11/01 22:35:27 - mmengine - INFO - Epoch(train) [220][30/63] lr: 1.0000e-05 eta: 15:44:46 time: 0.9418 data_time: 0.0202 memory: 27783 loss: 0.1650 loss_text: 0.1131 loss_kernel: 0.0519 2022/11/01 22:35:32 - mmengine - INFO - Epoch(train) [220][35/63] lr: 1.0000e-05 eta: 15:44:46 time: 0.9422 data_time: 0.0234 memory: 27783 loss: 0.2257 loss_text: 0.1558 loss_kernel: 0.0699 2022/11/01 22:35:37 - mmengine - INFO - Epoch(train) [220][40/63] lr: 1.0000e-05 eta: 15:43:57 time: 0.9351 data_time: 0.0192 memory: 27783 loss: 0.1992 loss_text: 0.1366 loss_kernel: 0.0627 2022/11/01 22:35:42 - mmengine - INFO - Epoch(train) [220][45/63] lr: 1.0000e-05 eta: 15:43:57 time: 0.9922 data_time: 0.0219 memory: 27783 loss: 0.1508 loss_text: 0.1021 loss_kernel: 0.0487 2022/11/01 22:35:46 - mmengine - INFO - Epoch(train) [220][50/63] lr: 1.0000e-05 eta: 15:43:09 time: 0.9696 data_time: 0.0261 memory: 27783 loss: 0.1660 loss_text: 0.1134 loss_kernel: 0.0526 2022/11/01 22:35:51 - mmengine - INFO - Epoch(train) [220][55/63] lr: 1.0000e-05 eta: 15:43:09 time: 0.8965 data_time: 0.0163 memory: 27783 loss: 0.1742 loss_text: 0.1190 loss_kernel: 0.0552 2022/11/01 22:35:55 - mmengine - INFO - Epoch(train) [220][60/63] lr: 1.0000e-05 eta: 15:42:21 time: 0.9163 data_time: 0.0193 memory: 27783 loss: 0.2008 loss_text: 0.1378 loss_kernel: 0.0630 2022/11/01 22:35:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:35:58 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/11/01 22:37:42 - mmengine - INFO - Epoch(train) [221][5/63] lr: 1.0000e-05 eta: 15:42:21 time: 10.3302 data_time: 9.4819 memory: 27783 loss: 0.1899 loss_text: 0.1299 loss_kernel: 0.0600 2022/11/01 22:37:47 - mmengine - INFO - Epoch(train) [221][10/63] lr: 1.0000e-05 eta: 15:43:57 time: 10.4114 data_time: 9.4883 memory: 27783 loss: 0.2032 loss_text: 0.1390 loss_kernel: 0.0643 2022/11/01 22:37:52 - mmengine - INFO - Epoch(train) [221][15/63] lr: 1.0000e-05 eta: 15:43:57 time: 0.9365 data_time: 0.0208 memory: 27783 loss: 0.1932 loss_text: 0.1313 loss_kernel: 0.0618 2022/11/01 22:37:56 - mmengine - INFO - Epoch(train) [221][20/63] lr: 1.0000e-05 eta: 15:43:08 time: 0.9088 data_time: 0.0228 memory: 27783 loss: 0.1853 loss_text: 0.1271 loss_kernel: 0.0582 2022/11/01 22:38:01 - mmengine - INFO - Epoch(train) [221][25/63] lr: 1.0000e-05 eta: 15:43:08 time: 0.9039 data_time: 0.0222 memory: 27783 loss: 0.1828 loss_text: 0.1272 loss_kernel: 0.0556 2022/11/01 22:38:05 - mmengine - INFO - Epoch(train) [221][30/63] lr: 1.0000e-05 eta: 15:42:20 time: 0.9213 data_time: 0.0170 memory: 27783 loss: 0.2068 loss_text: 0.1432 loss_kernel: 0.0636 2022/11/01 22:38:10 - mmengine - INFO - Epoch(train) [221][35/63] lr: 1.0000e-05 eta: 15:42:20 time: 0.9797 data_time: 0.0167 memory: 27783 loss: 0.2139 loss_text: 0.1466 loss_kernel: 0.0673 2022/11/01 22:38:15 - mmengine - INFO - Epoch(train) [221][40/63] lr: 1.0000e-05 eta: 15:41:32 time: 0.9542 data_time: 0.0170 memory: 27783 loss: 0.1717 loss_text: 0.1168 loss_kernel: 0.0548 2022/11/01 22:38:19 - mmengine - INFO - Epoch(train) [221][45/63] lr: 1.0000e-05 eta: 15:41:32 time: 0.8962 data_time: 0.0212 memory: 27783 loss: 0.1951 loss_text: 0.1342 loss_kernel: 0.0609 2022/11/01 22:38:24 - mmengine - INFO - Epoch(train) [221][50/63] lr: 1.0000e-05 eta: 15:40:43 time: 0.9009 data_time: 0.0226 memory: 27783 loss: 0.2363 loss_text: 0.1635 loss_kernel: 0.0728 2022/11/01 22:38:28 - mmengine - INFO - Epoch(train) [221][55/63] lr: 1.0000e-05 eta: 15:40:43 time: 0.9005 data_time: 0.0158 memory: 27783 loss: 0.2248 loss_text: 0.1544 loss_kernel: 0.0705 2022/11/01 22:38:33 - mmengine - INFO - Epoch(train) [221][60/63] lr: 1.0000e-05 eta: 15:39:54 time: 0.9086 data_time: 0.0180 memory: 27783 loss: 0.2127 loss_text: 0.1455 loss_kernel: 0.0672 2022/11/01 22:38:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:40:15 - mmengine - INFO - Epoch(train) [222][5/63] lr: 1.0000e-05 eta: 15:39:54 time: 10.3867 data_time: 9.5315 memory: 27783 loss: 0.2155 loss_text: 0.1491 loss_kernel: 0.0663 2022/11/01 22:40:20 - mmengine - INFO - Epoch(train) [222][10/63] lr: 1.0000e-05 eta: 15:41:30 time: 10.4295 data_time: 9.5358 memory: 27783 loss: 0.2374 loss_text: 0.1638 loss_kernel: 0.0736 2022/11/01 22:40:24 - mmengine - INFO - Epoch(train) [222][15/63] lr: 1.0000e-05 eta: 15:41:30 time: 0.9037 data_time: 0.0193 memory: 27783 loss: 0.1990 loss_text: 0.1364 loss_kernel: 0.0626 2022/11/01 22:40:29 - mmengine - INFO - Epoch(train) [222][20/63] lr: 1.0000e-05 eta: 15:40:41 time: 0.9179 data_time: 0.0261 memory: 27783 loss: 0.2082 loss_text: 0.1423 loss_kernel: 0.0658 2022/11/01 22:40:34 - mmengine - INFO - Epoch(train) [222][25/63] lr: 1.0000e-05 eta: 15:40:41 time: 0.9780 data_time: 0.0288 memory: 27783 loss: 0.2251 loss_text: 0.1534 loss_kernel: 0.0717 2022/11/01 22:40:38 - mmengine - INFO - Epoch(train) [222][30/63] lr: 1.0000e-05 eta: 15:39:53 time: 0.9578 data_time: 0.0170 memory: 27783 loss: 0.2130 loss_text: 0.1459 loss_kernel: 0.0670 2022/11/01 22:40:43 - mmengine - INFO - Epoch(train) [222][35/63] lr: 1.0000e-05 eta: 15:39:53 time: 0.9167 data_time: 0.0206 memory: 27783 loss: 0.2249 loss_text: 0.1547 loss_kernel: 0.0702 2022/11/01 22:40:48 - mmengine - INFO - Epoch(train) [222][40/63] lr: 1.0000e-05 eta: 15:39:05 time: 0.9199 data_time: 0.0190 memory: 27783 loss: 0.2074 loss_text: 0.1422 loss_kernel: 0.0652 2022/11/01 22:40:52 - mmengine - INFO - Epoch(train) [222][45/63] lr: 1.0000e-05 eta: 15:39:05 time: 0.9132 data_time: 0.0175 memory: 27783 loss: 0.1687 loss_text: 0.1153 loss_kernel: 0.0535 2022/11/01 22:40:57 - mmengine - INFO - Epoch(train) [222][50/63] lr: 1.0000e-05 eta: 15:38:17 time: 0.9118 data_time: 0.0227 memory: 27783 loss: 0.1619 loss_text: 0.1104 loss_kernel: 0.0515 2022/11/01 22:41:01 - mmengine - INFO - Epoch(train) [222][55/63] lr: 1.0000e-05 eta: 15:38:17 time: 0.9068 data_time: 0.0173 memory: 27783 loss: 0.1705 loss_text: 0.1161 loss_kernel: 0.0544 2022/11/01 22:41:06 - mmengine - INFO - Epoch(train) [222][60/63] lr: 1.0000e-05 eta: 15:37:28 time: 0.9072 data_time: 0.0193 memory: 27783 loss: 0.2559 loss_text: 0.1764 loss_kernel: 0.0795 2022/11/01 22:41:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:42:48 - mmengine - INFO - Epoch(train) [223][5/63] lr: 1.0000e-05 eta: 15:37:28 time: 10.3327 data_time: 9.4858 memory: 27783 loss: 0.2283 loss_text: 0.1573 loss_kernel: 0.0710 2022/11/01 22:42:52 - mmengine - INFO - Epoch(train) [223][10/63] lr: 1.0000e-05 eta: 15:39:02 time: 10.3973 data_time: 9.4953 memory: 27783 loss: 0.1729 loss_text: 0.1182 loss_kernel: 0.0547 2022/11/01 22:42:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:42:57 - mmengine - INFO - Epoch(train) [223][15/63] lr: 1.0000e-05 eta: 15:39:02 time: 0.9356 data_time: 0.0225 memory: 27783 loss: 0.2213 loss_text: 0.1511 loss_kernel: 0.0701 2022/11/01 22:43:02 - mmengine - INFO - Epoch(train) [223][20/63] lr: 1.0000e-05 eta: 15:38:16 time: 1.0173 data_time: 0.0243 memory: 27783 loss: 0.2265 loss_text: 0.1551 loss_kernel: 0.0714 2022/11/01 22:43:07 - mmengine - INFO - Epoch(train) [223][25/63] lr: 1.0000e-05 eta: 15:38:16 time: 1.0512 data_time: 0.0302 memory: 27783 loss: 0.2165 loss_text: 0.1485 loss_kernel: 0.0680 2022/11/01 22:43:12 - mmengine - INFO - Epoch(train) [223][30/63] lr: 1.0000e-05 eta: 15:37:28 time: 0.9502 data_time: 0.0175 memory: 27783 loss: 0.2083 loss_text: 0.1421 loss_kernel: 0.0662 2022/11/01 22:43:16 - mmengine - INFO - Epoch(train) [223][35/63] lr: 1.0000e-05 eta: 15:37:28 time: 0.9033 data_time: 0.0173 memory: 27783 loss: 0.1876 loss_text: 0.1271 loss_kernel: 0.0605 2022/11/01 22:43:21 - mmengine - INFO - Epoch(train) [223][40/63] lr: 1.0000e-05 eta: 15:36:40 time: 0.9093 data_time: 0.0191 memory: 27783 loss: 0.1905 loss_text: 0.1295 loss_kernel: 0.0611 2022/11/01 22:43:26 - mmengine - INFO - Epoch(train) [223][45/63] lr: 1.0000e-05 eta: 15:36:40 time: 0.9164 data_time: 0.0236 memory: 27783 loss: 0.2012 loss_text: 0.1373 loss_kernel: 0.0639 2022/11/01 22:43:30 - mmengine - INFO - Epoch(train) [223][50/63] lr: 1.0000e-05 eta: 15:35:51 time: 0.9052 data_time: 0.0321 memory: 27783 loss: 0.2211 loss_text: 0.1518 loss_kernel: 0.0692 2022/11/01 22:43:35 - mmengine - INFO - Epoch(train) [223][55/63] lr: 1.0000e-05 eta: 15:35:51 time: 0.8909 data_time: 0.0171 memory: 27783 loss: 0.2128 loss_text: 0.1467 loss_kernel: 0.0660 2022/11/01 22:43:40 - mmengine - INFO - Epoch(train) [223][60/63] lr: 1.0000e-05 eta: 15:35:04 time: 0.9459 data_time: 0.0136 memory: 27783 loss: 0.2076 loss_text: 0.1430 loss_kernel: 0.0646 2022/11/01 22:43:42 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:45:22 - mmengine - INFO - Epoch(train) [224][5/63] lr: 1.0000e-05 eta: 15:35:04 time: 10.5064 data_time: 9.5850 memory: 27783 loss: 0.2225 loss_text: 0.1526 loss_kernel: 0.0699 2022/11/01 22:45:28 - mmengine - INFO - Epoch(train) [224][10/63] lr: 1.0000e-05 eta: 15:36:40 time: 10.5741 data_time: 9.6339 memory: 27783 loss: 0.2094 loss_text: 0.1443 loss_kernel: 0.0651 2022/11/01 22:45:32 - mmengine - INFO - Epoch(train) [224][15/63] lr: 1.0000e-05 eta: 15:36:40 time: 0.9714 data_time: 0.0559 memory: 27783 loss: 0.1881 loss_text: 0.1287 loss_kernel: 0.0594 2022/11/01 22:45:37 - mmengine - INFO - Epoch(train) [224][20/63] lr: 1.0000e-05 eta: 15:35:51 time: 0.9050 data_time: 0.0182 memory: 27783 loss: 0.2426 loss_text: 0.1676 loss_kernel: 0.0750 2022/11/01 22:45:41 - mmengine - INFO - Epoch(train) [224][25/63] lr: 1.0000e-05 eta: 15:35:51 time: 0.9144 data_time: 0.0254 memory: 27783 loss: 0.2187 loss_text: 0.1515 loss_kernel: 0.0672 2022/11/01 22:45:46 - mmengine - INFO - Epoch(train) [224][30/63] lr: 1.0000e-05 eta: 15:35:03 time: 0.9049 data_time: 0.0168 memory: 27783 loss: 0.1924 loss_text: 0.1324 loss_kernel: 0.0600 2022/11/01 22:45:50 - mmengine - INFO - Epoch(train) [224][35/63] lr: 1.0000e-05 eta: 15:35:03 time: 0.8923 data_time: 0.0196 memory: 27783 loss: 0.2002 loss_text: 0.1384 loss_kernel: 0.0618 2022/11/01 22:45:55 - mmengine - INFO - Epoch(train) [224][40/63] lr: 1.0000e-05 eta: 15:34:15 time: 0.8972 data_time: 0.0182 memory: 27783 loss: 0.1797 loss_text: 0.1236 loss_kernel: 0.0560 2022/11/01 22:46:00 - mmengine - INFO - Epoch(train) [224][45/63] lr: 1.0000e-05 eta: 15:34:15 time: 0.9962 data_time: 0.0212 memory: 27783 loss: 0.1894 loss_text: 0.1298 loss_kernel: 0.0597 2022/11/01 22:46:05 - mmengine - INFO - Epoch(train) [224][50/63] lr: 1.0000e-05 eta: 15:33:29 time: 1.0227 data_time: 0.0317 memory: 27783 loss: 0.1834 loss_text: 0.1268 loss_kernel: 0.0566 2022/11/01 22:46:09 - mmengine - INFO - Epoch(train) [224][55/63] lr: 1.0000e-05 eta: 15:33:29 time: 0.9210 data_time: 0.0186 memory: 27783 loss: 0.1809 loss_text: 0.1255 loss_kernel: 0.0554 2022/11/01 22:46:14 - mmengine - INFO - Epoch(train) [224][60/63] lr: 1.0000e-05 eta: 15:32:40 time: 0.8997 data_time: 0.0146 memory: 27783 loss: 0.2039 loss_text: 0.1404 loss_kernel: 0.0635 2022/11/01 22:46:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:47:56 - mmengine - INFO - Epoch(train) [225][5/63] lr: 1.0000e-05 eta: 15:32:40 time: 10.3416 data_time: 9.4870 memory: 27783 loss: 0.2017 loss_text: 0.1386 loss_kernel: 0.0630 2022/11/01 22:48:00 - mmengine - INFO - Epoch(train) [225][10/63] lr: 1.0000e-05 eta: 15:34:13 time: 10.3989 data_time: 9.4990 memory: 27783 loss: 0.2108 loss_text: 0.1449 loss_kernel: 0.0659 2022/11/01 22:48:05 - mmengine - INFO - Epoch(train) [225][15/63] lr: 1.0000e-05 eta: 15:34:13 time: 0.9125 data_time: 0.0209 memory: 27783 loss: 0.2290 loss_text: 0.1579 loss_kernel: 0.0711 2022/11/01 22:48:10 - mmengine - INFO - Epoch(train) [225][20/63] lr: 1.0000e-05 eta: 15:33:25 time: 0.9696 data_time: 0.0212 memory: 27783 loss: 0.1990 loss_text: 0.1365 loss_kernel: 0.0625 2022/11/01 22:48:14 - mmengine - INFO - Epoch(train) [225][25/63] lr: 1.0000e-05 eta: 15:33:25 time: 0.9627 data_time: 0.0190 memory: 27783 loss: 0.1770 loss_text: 0.1211 loss_kernel: 0.0559 2022/11/01 22:48:19 - mmengine - INFO - Epoch(train) [225][30/63] lr: 1.0000e-05 eta: 15:32:38 time: 0.9181 data_time: 0.0188 memory: 27783 loss: 0.1732 loss_text: 0.1187 loss_kernel: 0.0545 2022/11/01 22:48:24 - mmengine - INFO - Epoch(train) [225][35/63] lr: 1.0000e-05 eta: 15:32:38 time: 0.9151 data_time: 0.0238 memory: 27783 loss: 0.1996 loss_text: 0.1363 loss_kernel: 0.0633 2022/11/01 22:48:28 - mmengine - INFO - Epoch(train) [225][40/63] lr: 1.0000e-05 eta: 15:31:49 time: 0.9043 data_time: 0.0153 memory: 27783 loss: 0.2126 loss_text: 0.1464 loss_kernel: 0.0662 2022/11/01 22:48:33 - mmengine - INFO - Epoch(train) [225][45/63] lr: 1.0000e-05 eta: 15:31:49 time: 0.9143 data_time: 0.0208 memory: 27783 loss: 0.1801 loss_text: 0.1236 loss_kernel: 0.0564 2022/11/01 22:48:37 - mmengine - INFO - Epoch(train) [225][50/63] lr: 1.0000e-05 eta: 15:31:02 time: 0.9200 data_time: 0.0246 memory: 27783 loss: 0.1795 loss_text: 0.1224 loss_kernel: 0.0571 2022/11/01 22:48:42 - mmengine - INFO - Epoch(train) [225][55/63] lr: 1.0000e-05 eta: 15:31:02 time: 0.9479 data_time: 0.0179 memory: 27783 loss: 0.1817 loss_text: 0.1242 loss_kernel: 0.0575 2022/11/01 22:48:47 - mmengine - INFO - Epoch(train) [225][60/63] lr: 1.0000e-05 eta: 15:30:14 time: 0.9245 data_time: 0.0165 memory: 27783 loss: 0.2131 loss_text: 0.1466 loss_kernel: 0.0665 2022/11/01 22:48:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:50:30 - mmengine - INFO - Epoch(train) [226][5/63] lr: 1.0000e-05 eta: 15:30:14 time: 10.4565 data_time: 9.5882 memory: 27783 loss: 0.1931 loss_text: 0.1333 loss_kernel: 0.0598 2022/11/01 22:50:34 - mmengine - INFO - Epoch(train) [226][10/63] lr: 1.0000e-05 eta: 15:31:48 time: 10.5253 data_time: 9.6090 memory: 27783 loss: 0.2393 loss_text: 0.1662 loss_kernel: 0.0731 2022/11/01 22:50:39 - mmengine - INFO - Epoch(train) [226][15/63] lr: 1.0000e-05 eta: 15:31:48 time: 0.9310 data_time: 0.0304 memory: 27783 loss: 0.2002 loss_text: 0.1376 loss_kernel: 0.0626 2022/11/01 22:50:44 - mmengine - INFO - Epoch(train) [226][20/63] lr: 1.0000e-05 eta: 15:31:00 time: 0.9278 data_time: 0.0181 memory: 27783 loss: 0.1890 loss_text: 0.1298 loss_kernel: 0.0592 2022/11/01 22:50:48 - mmengine - INFO - Epoch(train) [226][25/63] lr: 1.0000e-05 eta: 15:31:00 time: 0.9581 data_time: 0.0302 memory: 27783 loss: 0.2057 loss_text: 0.1423 loss_kernel: 0.0634 2022/11/01 22:50:53 - mmengine - INFO - Epoch(train) [226][30/63] lr: 1.0000e-05 eta: 15:30:12 time: 0.9275 data_time: 0.0195 memory: 27783 loss: 0.2234 loss_text: 0.1545 loss_kernel: 0.0689 2022/11/01 22:50:58 - mmengine - INFO - Epoch(train) [226][35/63] lr: 1.0000e-05 eta: 15:30:12 time: 0.9064 data_time: 0.0186 memory: 27783 loss: 0.2039 loss_text: 0.1397 loss_kernel: 0.0642 2022/11/01 22:51:02 - mmengine - INFO - Epoch(train) [226][40/63] lr: 1.0000e-05 eta: 15:29:25 time: 0.9183 data_time: 0.0202 memory: 27783 loss: 0.2150 loss_text: 0.1479 loss_kernel: 0.0671 2022/11/01 22:51:07 - mmengine - INFO - Epoch(train) [226][45/63] lr: 1.0000e-05 eta: 15:29:25 time: 0.9191 data_time: 0.0190 memory: 27783 loss: 0.2065 loss_text: 0.1423 loss_kernel: 0.0642 2022/11/01 22:51:11 - mmengine - INFO - Epoch(train) [226][50/63] lr: 1.0000e-05 eta: 15:28:37 time: 0.9314 data_time: 0.0286 memory: 27783 loss: 0.1779 loss_text: 0.1224 loss_kernel: 0.0555 2022/11/01 22:51:16 - mmengine - INFO - Epoch(train) [226][55/63] lr: 1.0000e-05 eta: 15:28:37 time: 0.9248 data_time: 0.0170 memory: 27783 loss: 0.1818 loss_text: 0.1250 loss_kernel: 0.0568 2022/11/01 22:51:21 - mmengine - INFO - Epoch(train) [226][60/63] lr: 1.0000e-05 eta: 15:27:50 time: 0.9214 data_time: 0.0160 memory: 27783 loss: 0.1892 loss_text: 0.1297 loss_kernel: 0.0595 2022/11/01 22:51:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:53:03 - mmengine - INFO - Epoch(train) [227][5/63] lr: 1.0000e-05 eta: 15:27:50 time: 10.4091 data_time: 9.4717 memory: 27783 loss: 0.1821 loss_text: 0.1243 loss_kernel: 0.0578 2022/11/01 22:53:08 - mmengine - INFO - Epoch(train) [227][10/63] lr: 1.0000e-05 eta: 15:29:21 time: 10.4459 data_time: 9.4878 memory: 27783 loss: 0.1582 loss_text: 0.1076 loss_kernel: 0.0505 2022/11/01 22:53:13 - mmengine - INFO - Epoch(train) [227][15/63] lr: 1.0000e-05 eta: 15:29:21 time: 0.9621 data_time: 0.0248 memory: 27783 loss: 0.1537 loss_text: 0.1039 loss_kernel: 0.0498 2022/11/01 22:53:17 - mmengine - INFO - Epoch(train) [227][20/63] lr: 1.0000e-05 eta: 15:28:34 time: 0.9432 data_time: 0.0161 memory: 27783 loss: 0.1717 loss_text: 0.1173 loss_kernel: 0.0545 2022/11/01 22:53:22 - mmengine - INFO - Epoch(train) [227][25/63] lr: 1.0000e-05 eta: 15:28:34 time: 0.9504 data_time: 0.0272 memory: 27783 loss: 0.1662 loss_text: 0.1134 loss_kernel: 0.0528 2022/11/01 22:53:27 - mmengine - INFO - Epoch(train) [227][30/63] lr: 1.0000e-05 eta: 15:27:47 time: 0.9443 data_time: 0.0203 memory: 27783 loss: 0.2125 loss_text: 0.1451 loss_kernel: 0.0674 2022/11/01 22:53:31 - mmengine - INFO - Epoch(train) [227][35/63] lr: 1.0000e-05 eta: 15:27:47 time: 0.9154 data_time: 0.0226 memory: 27783 loss: 0.2476 loss_text: 0.1703 loss_kernel: 0.0773 2022/11/01 22:53:36 - mmengine - INFO - Epoch(train) [227][40/63] lr: 1.0000e-05 eta: 15:26:59 time: 0.9328 data_time: 0.0223 memory: 27783 loss: 0.1913 loss_text: 0.1305 loss_kernel: 0.0608 2022/11/01 22:53:41 - mmengine - INFO - Epoch(train) [227][45/63] lr: 1.0000e-05 eta: 15:26:59 time: 0.9371 data_time: 0.0212 memory: 27783 loss: 0.1771 loss_text: 0.1203 loss_kernel: 0.0568 2022/11/01 22:53:45 - mmengine - INFO - Epoch(train) [227][50/63] lr: 1.0000e-05 eta: 15:26:12 time: 0.9101 data_time: 0.0332 memory: 27783 loss: 0.2249 loss_text: 0.1542 loss_kernel: 0.0707 2022/11/01 22:53:50 - mmengine - INFO - Epoch(train) [227][55/63] lr: 1.0000e-05 eta: 15:26:12 time: 0.9378 data_time: 0.0200 memory: 27783 loss: 0.2679 loss_text: 0.1842 loss_kernel: 0.0837 2022/11/01 22:53:54 - mmengine - INFO - Epoch(train) [227][60/63] lr: 1.0000e-05 eta: 15:25:25 time: 0.9400 data_time: 0.0147 memory: 27783 loss: 0.2860 loss_text: 0.1980 loss_kernel: 0.0881 2022/11/01 22:53:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:55:37 - mmengine - INFO - Epoch(train) [228][5/63] lr: 1.0000e-05 eta: 15:25:25 time: 10.4545 data_time: 9.5744 memory: 27783 loss: 0.1755 loss_text: 0.1214 loss_kernel: 0.0542 2022/11/01 22:55:42 - mmengine - INFO - Epoch(train) [228][10/63] lr: 1.0000e-05 eta: 15:26:57 time: 10.5586 data_time: 9.5913 memory: 27783 loss: 0.1787 loss_text: 0.1234 loss_kernel: 0.0553 2022/11/01 22:55:47 - mmengine - INFO - Epoch(train) [228][15/63] lr: 1.0000e-05 eta: 15:26:57 time: 0.9494 data_time: 0.0258 memory: 27783 loss: 0.1802 loss_text: 0.1242 loss_kernel: 0.0560 2022/11/01 22:55:52 - mmengine - INFO - Epoch(train) [228][20/63] lr: 1.0000e-05 eta: 15:26:09 time: 0.9048 data_time: 0.0197 memory: 27783 loss: 0.1997 loss_text: 0.1387 loss_kernel: 0.0610 2022/11/01 22:55:56 - mmengine - INFO - Epoch(train) [228][25/63] lr: 1.0000e-05 eta: 15:26:09 time: 0.9054 data_time: 0.0220 memory: 27783 loss: 0.1832 loss_text: 0.1261 loss_kernel: 0.0571 2022/11/01 22:56:00 - mmengine - INFO - Epoch(train) [228][30/63] lr: 1.0000e-05 eta: 15:25:21 time: 0.8784 data_time: 0.0158 memory: 27783 loss: 0.1883 loss_text: 0.1280 loss_kernel: 0.0603 2022/11/01 22:56:05 - mmengine - INFO - Epoch(train) [228][35/63] lr: 1.0000e-05 eta: 15:25:21 time: 0.8844 data_time: 0.0210 memory: 27783 loss: 0.2254 loss_text: 0.1544 loss_kernel: 0.0710 2022/11/01 22:56:09 - mmengine - INFO - Epoch(train) [228][40/63] lr: 1.0000e-05 eta: 15:24:34 time: 0.8981 data_time: 0.0195 memory: 27783 loss: 0.2088 loss_text: 0.1436 loss_kernel: 0.0652 2022/11/01 22:56:14 - mmengine - INFO - Epoch(train) [228][45/63] lr: 1.0000e-05 eta: 15:24:34 time: 0.9222 data_time: 0.0216 memory: 27783 loss: 0.2016 loss_text: 0.1387 loss_kernel: 0.0629 2022/11/01 22:56:19 - mmengine - INFO - Epoch(train) [228][50/63] lr: 1.0000e-05 eta: 15:23:47 time: 0.9728 data_time: 0.0304 memory: 27783 loss: 0.1892 loss_text: 0.1299 loss_kernel: 0.0593 2022/11/01 22:56:24 - mmengine - INFO - Epoch(train) [228][55/63] lr: 1.0000e-05 eta: 15:23:47 time: 0.9721 data_time: 0.0229 memory: 27783 loss: 0.2035 loss_text: 0.1402 loss_kernel: 0.0634 2022/11/01 22:56:28 - mmengine - INFO - Epoch(train) [228][60/63] lr: 1.0000e-05 eta: 15:23:00 time: 0.9311 data_time: 0.0180 memory: 27783 loss: 0.2039 loss_text: 0.1396 loss_kernel: 0.0642 2022/11/01 22:56:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 22:58:10 - mmengine - INFO - Epoch(train) [229][5/63] lr: 1.0000e-05 eta: 15:23:00 time: 10.3196 data_time: 9.4505 memory: 27783 loss: 0.1702 loss_text: 0.1159 loss_kernel: 0.0543 2022/11/01 22:58:14 - mmengine - INFO - Epoch(train) [229][10/63] lr: 1.0000e-05 eta: 15:24:28 time: 10.3604 data_time: 9.4582 memory: 27783 loss: 0.2088 loss_text: 0.1431 loss_kernel: 0.0657 2022/11/01 22:58:19 - mmengine - INFO - Epoch(train) [229][15/63] lr: 1.0000e-05 eta: 15:24:28 time: 0.9126 data_time: 0.0256 memory: 27783 loss: 0.1936 loss_text: 0.1320 loss_kernel: 0.0615 2022/11/01 22:58:24 - mmengine - INFO - Epoch(train) [229][20/63] lr: 1.0000e-05 eta: 15:23:41 time: 0.9347 data_time: 0.0293 memory: 27783 loss: 0.1843 loss_text: 0.1266 loss_kernel: 0.0577 2022/11/01 22:58:28 - mmengine - INFO - Epoch(train) [229][25/63] lr: 1.0000e-05 eta: 15:23:41 time: 0.9200 data_time: 0.0219 memory: 27783 loss: 0.2268 loss_text: 0.1569 loss_kernel: 0.0699 2022/11/01 22:58:33 - mmengine - INFO - Epoch(train) [229][30/63] lr: 1.0000e-05 eta: 15:22:54 time: 0.8980 data_time: 0.0187 memory: 27783 loss: 0.2433 loss_text: 0.1674 loss_kernel: 0.0759 2022/11/01 22:58:37 - mmengine - INFO - Epoch(train) [229][35/63] lr: 1.0000e-05 eta: 15:22:54 time: 0.9206 data_time: 0.0240 memory: 27783 loss: 0.2109 loss_text: 0.1445 loss_kernel: 0.0664 2022/11/01 22:58:42 - mmengine - INFO - Epoch(train) [229][40/63] lr: 1.0000e-05 eta: 15:22:07 time: 0.9563 data_time: 0.0186 memory: 27783 loss: 0.2009 loss_text: 0.1379 loss_kernel: 0.0630 2022/11/01 22:58:47 - mmengine - INFO - Epoch(train) [229][45/63] lr: 1.0000e-05 eta: 15:22:07 time: 0.9535 data_time: 0.0206 memory: 27783 loss: 0.2222 loss_text: 0.1527 loss_kernel: 0.0694 2022/11/01 22:58:51 - mmengine - INFO - Epoch(train) [229][50/63] lr: 1.0000e-05 eta: 15:21:20 time: 0.9091 data_time: 0.0182 memory: 27783 loss: 0.2004 loss_text: 0.1370 loss_kernel: 0.0634 2022/11/01 22:58:56 - mmengine - INFO - Epoch(train) [229][55/63] lr: 1.0000e-05 eta: 15:21:20 time: 0.9051 data_time: 0.0145 memory: 27783 loss: 0.2092 loss_text: 0.1433 loss_kernel: 0.0659 2022/11/01 22:59:01 - mmengine - INFO - Epoch(train) [229][60/63] lr: 1.0000e-05 eta: 15:20:33 time: 0.9532 data_time: 0.0207 memory: 27783 loss: 0.2155 loss_text: 0.1482 loss_kernel: 0.0673 2022/11/01 22:59:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:00:43 - mmengine - INFO - Epoch(train) [230][5/63] lr: 1.0000e-05 eta: 15:20:33 time: 10.4629 data_time: 9.5634 memory: 27783 loss: 0.1826 loss_text: 0.1244 loss_kernel: 0.0582 2022/11/01 23:00:48 - mmengine - INFO - Epoch(train) [230][10/63] lr: 1.0000e-05 eta: 15:22:03 time: 10.5062 data_time: 9.5772 memory: 27783 loss: 0.1776 loss_text: 0.1205 loss_kernel: 0.0572 2022/11/01 23:00:53 - mmengine - INFO - Epoch(train) [230][15/63] lr: 1.0000e-05 eta: 15:22:03 time: 1.0058 data_time: 0.0262 memory: 27783 loss: 0.1990 loss_text: 0.1366 loss_kernel: 0.0624 2022/11/01 23:00:58 - mmengine - INFO - Epoch(train) [230][20/63] lr: 1.0000e-05 eta: 15:21:17 time: 0.9927 data_time: 0.0196 memory: 27783 loss: 0.1829 loss_text: 0.1258 loss_kernel: 0.0570 2022/11/01 23:01:03 - mmengine - INFO - Epoch(train) [230][25/63] lr: 1.0000e-05 eta: 15:21:17 time: 0.9523 data_time: 0.0320 memory: 27783 loss: 0.1632 loss_text: 0.1114 loss_kernel: 0.0518 2022/11/01 23:01:07 - mmengine - INFO - Epoch(train) [230][30/63] lr: 1.0000e-05 eta: 15:20:30 time: 0.9248 data_time: 0.0194 memory: 27783 loss: 0.2011 loss_text: 0.1379 loss_kernel: 0.0632 2022/11/01 23:01:12 - mmengine - INFO - Epoch(train) [230][35/63] lr: 1.0000e-05 eta: 15:20:30 time: 0.9206 data_time: 0.0168 memory: 27783 loss: 0.1997 loss_text: 0.1365 loss_kernel: 0.0632 2022/11/01 23:01:17 - mmengine - INFO - Epoch(train) [230][40/63] lr: 1.0000e-05 eta: 15:19:43 time: 0.9107 data_time: 0.0182 memory: 27783 loss: 0.1965 loss_text: 0.1342 loss_kernel: 0.0623 2022/11/01 23:01:21 - mmengine - INFO - Epoch(train) [230][45/63] lr: 1.0000e-05 eta: 15:19:43 time: 0.9155 data_time: 0.0165 memory: 27783 loss: 0.2310 loss_text: 0.1595 loss_kernel: 0.0716 2022/11/01 23:01:26 - mmengine - INFO - Epoch(train) [230][50/63] lr: 1.0000e-05 eta: 15:18:56 time: 0.9411 data_time: 0.0263 memory: 27783 loss: 0.2731 loss_text: 0.1888 loss_kernel: 0.0843 2022/11/01 23:01:31 - mmengine - INFO - Epoch(train) [230][55/63] lr: 1.0000e-05 eta: 15:18:56 time: 0.9371 data_time: 0.0172 memory: 27783 loss: 0.2845 loss_text: 0.1956 loss_kernel: 0.0889 2022/11/01 23:01:36 - mmengine - INFO - Epoch(train) [230][60/63] lr: 1.0000e-05 eta: 15:18:10 time: 0.9535 data_time: 0.0318 memory: 27783 loss: 0.2275 loss_text: 0.1561 loss_kernel: 0.0714 2022/11/01 23:01:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:03:17 - mmengine - INFO - Epoch(train) [231][5/63] lr: 1.0000e-05 eta: 15:18:10 time: 10.3453 data_time: 9.4503 memory: 27783 loss: 0.1629 loss_text: 0.1107 loss_kernel: 0.0522 2022/11/01 23:03:22 - mmengine - INFO - Epoch(train) [231][10/63] lr: 1.0000e-05 eta: 15:19:37 time: 10.4007 data_time: 9.4607 memory: 27783 loss: 0.1986 loss_text: 0.1383 loss_kernel: 0.0602 2022/11/01 23:03:27 - mmengine - INFO - Epoch(train) [231][15/63] lr: 1.0000e-05 eta: 15:19:37 time: 0.9436 data_time: 0.0209 memory: 27783 loss: 0.2218 loss_text: 0.1549 loss_kernel: 0.0669 2022/11/01 23:03:31 - mmengine - INFO - Epoch(train) [231][20/63] lr: 1.0000e-05 eta: 15:18:50 time: 0.9272 data_time: 0.0209 memory: 27783 loss: 0.1881 loss_text: 0.1290 loss_kernel: 0.0590 2022/11/01 23:03:36 - mmengine - INFO - Epoch(train) [231][25/63] lr: 1.0000e-05 eta: 15:18:50 time: 0.9072 data_time: 0.0180 memory: 27783 loss: 0.1994 loss_text: 0.1366 loss_kernel: 0.0627 2022/11/01 23:03:41 - mmengine - INFO - Epoch(train) [231][30/63] lr: 1.0000e-05 eta: 15:18:04 time: 0.9599 data_time: 0.0197 memory: 27783 loss: 0.2389 loss_text: 0.1652 loss_kernel: 0.0737 2022/11/01 23:03:45 - mmengine - INFO - Epoch(train) [231][35/63] lr: 1.0000e-05 eta: 15:18:04 time: 0.9508 data_time: 0.0269 memory: 27783 loss: 0.2132 loss_text: 0.1479 loss_kernel: 0.0653 2022/11/01 23:03:50 - mmengine - INFO - Epoch(train) [231][40/63] lr: 1.0000e-05 eta: 15:17:17 time: 0.9035 data_time: 0.0166 memory: 27783 loss: 0.1873 loss_text: 0.1280 loss_kernel: 0.0593 2022/11/01 23:03:54 - mmengine - INFO - Epoch(train) [231][45/63] lr: 1.0000e-05 eta: 15:17:17 time: 0.9152 data_time: 0.0211 memory: 27783 loss: 0.1891 loss_text: 0.1287 loss_kernel: 0.0605 2022/11/01 23:03:59 - mmengine - INFO - Epoch(train) [231][50/63] lr: 1.0000e-05 eta: 15:16:31 time: 0.9425 data_time: 0.0307 memory: 27783 loss: 0.1578 loss_text: 0.1070 loss_kernel: 0.0509 2022/11/01 23:04:04 - mmengine - INFO - Epoch(train) [231][55/63] lr: 1.0000e-05 eta: 15:16:31 time: 0.9253 data_time: 0.0188 memory: 27783 loss: 0.1682 loss_text: 0.1152 loss_kernel: 0.0530 2022/11/01 23:04:08 - mmengine - INFO - Epoch(train) [231][60/63] lr: 1.0000e-05 eta: 15:15:43 time: 0.8876 data_time: 0.0145 memory: 27783 loss: 0.1993 loss_text: 0.1377 loss_kernel: 0.0616 2022/11/01 23:04:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:05:51 - mmengine - INFO - Epoch(train) [232][5/63] lr: 1.0000e-05 eta: 15:15:43 time: 10.4234 data_time: 9.5633 memory: 27783 loss: 0.2426 loss_text: 0.1668 loss_kernel: 0.0758 2022/11/01 23:05:56 - mmengine - INFO - Epoch(train) [232][10/63] lr: 1.0000e-05 eta: 15:17:12 time: 10.5354 data_time: 9.5798 memory: 27783 loss: 0.2132 loss_text: 0.1463 loss_kernel: 0.0669 2022/11/01 23:06:00 - mmengine - INFO - Epoch(train) [232][15/63] lr: 1.0000e-05 eta: 15:17:12 time: 0.9627 data_time: 0.0248 memory: 27783 loss: 0.1924 loss_text: 0.1317 loss_kernel: 0.0607 2022/11/01 23:06:05 - mmengine - INFO - Epoch(train) [232][20/63] lr: 1.0000e-05 eta: 15:16:25 time: 0.9353 data_time: 0.0205 memory: 27783 loss: 0.1924 loss_text: 0.1307 loss_kernel: 0.0617 2022/11/01 23:06:10 - mmengine - INFO - Epoch(train) [232][25/63] lr: 1.0000e-05 eta: 15:16:25 time: 0.9421 data_time: 0.0305 memory: 27783 loss: 0.1788 loss_text: 0.1211 loss_kernel: 0.0577 2022/11/01 23:06:14 - mmengine - INFO - Epoch(train) [232][30/63] lr: 1.0000e-05 eta: 15:15:38 time: 0.9111 data_time: 0.0194 memory: 27783 loss: 0.1956 loss_text: 0.1336 loss_kernel: 0.0619 2022/11/01 23:06:19 - mmengine - INFO - Epoch(train) [232][35/63] lr: 1.0000e-05 eta: 15:15:38 time: 0.9184 data_time: 0.0246 memory: 27783 loss: 0.2269 loss_text: 0.1561 loss_kernel: 0.0708 2022/11/01 23:06:24 - mmengine - INFO - Epoch(train) [232][40/63] lr: 1.0000e-05 eta: 15:14:52 time: 0.9606 data_time: 0.0245 memory: 27783 loss: 0.1954 loss_text: 0.1339 loss_kernel: 0.0615 2022/11/01 23:06:29 - mmengine - INFO - Epoch(train) [232][45/63] lr: 1.0000e-05 eta: 15:14:52 time: 0.9607 data_time: 0.0186 memory: 27783 loss: 0.1829 loss_text: 0.1256 loss_kernel: 0.0574 2022/11/01 23:06:34 - mmengine - INFO - Epoch(train) [232][50/63] lr: 1.0000e-05 eta: 15:14:06 time: 0.9654 data_time: 0.0282 memory: 27783 loss: 0.2479 loss_text: 0.1716 loss_kernel: 0.0762 2022/11/01 23:06:38 - mmengine - INFO - Epoch(train) [232][55/63] lr: 1.0000e-05 eta: 15:14:06 time: 0.9878 data_time: 0.0175 memory: 27783 loss: 0.2418 loss_text: 0.1665 loss_kernel: 0.0753 2022/11/01 23:06:43 - mmengine - INFO - Epoch(train) [232][60/63] lr: 1.0000e-05 eta: 15:13:20 time: 0.9624 data_time: 0.0152 memory: 27783 loss: 0.2080 loss_text: 0.1429 loss_kernel: 0.0651 2022/11/01 23:06:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:08:25 - mmengine - INFO - Epoch(train) [233][5/63] lr: 1.0000e-05 eta: 15:13:20 time: 10.3242 data_time: 9.4513 memory: 27783 loss: 0.2002 loss_text: 0.1369 loss_kernel: 0.0633 2022/11/01 23:08:29 - mmengine - INFO - Epoch(train) [233][10/63] lr: 1.0000e-05 eta: 15:14:45 time: 10.3745 data_time: 9.4675 memory: 27783 loss: 0.2320 loss_text: 0.1591 loss_kernel: 0.0729 2022/11/01 23:08:34 - mmengine - INFO - Epoch(train) [233][15/63] lr: 1.0000e-05 eta: 15:14:45 time: 0.9058 data_time: 0.0232 memory: 27783 loss: 0.2215 loss_text: 0.1518 loss_kernel: 0.0697 2022/11/01 23:08:38 - mmengine - INFO - Epoch(train) [233][20/63] lr: 1.0000e-05 eta: 15:13:59 time: 0.9061 data_time: 0.0247 memory: 27783 loss: 0.1827 loss_text: 0.1252 loss_kernel: 0.0575 2022/11/01 23:08:43 - mmengine - INFO - Epoch(train) [233][25/63] lr: 1.0000e-05 eta: 15:13:59 time: 0.9321 data_time: 0.0364 memory: 27783 loss: 0.1988 loss_text: 0.1368 loss_kernel: 0.0619 2022/11/01 23:08:48 - mmengine - INFO - Epoch(train) [233][30/63] lr: 1.0000e-05 eta: 15:13:12 time: 0.9324 data_time: 0.0200 memory: 27783 loss: 0.2031 loss_text: 0.1398 loss_kernel: 0.0632 2022/11/01 23:08:53 - mmengine - INFO - Epoch(train) [233][35/63] lr: 1.0000e-05 eta: 15:13:12 time: 0.9547 data_time: 0.0185 memory: 27783 loss: 0.1883 loss_text: 0.1304 loss_kernel: 0.0579 2022/11/01 23:08:57 - mmengine - INFO - Epoch(train) [233][40/63] lr: 1.0000e-05 eta: 15:12:27 time: 0.9833 data_time: 0.0212 memory: 27783 loss: 0.2212 loss_text: 0.1530 loss_kernel: 0.0683 2022/11/01 23:09:02 - mmengine - INFO - Epoch(train) [233][45/63] lr: 1.0000e-05 eta: 15:12:27 time: 0.9386 data_time: 0.0197 memory: 27783 loss: 0.2415 loss_text: 0.1663 loss_kernel: 0.0752 2022/11/01 23:09:07 - mmengine - INFO - Epoch(train) [233][50/63] lr: 1.0000e-05 eta: 15:11:40 time: 0.9119 data_time: 0.0259 memory: 27783 loss: 0.2098 loss_text: 0.1445 loss_kernel: 0.0653 2022/11/01 23:09:11 - mmengine - INFO - Epoch(train) [233][55/63] lr: 1.0000e-05 eta: 15:11:40 time: 0.9017 data_time: 0.0177 memory: 27783 loss: 0.2346 loss_text: 0.1611 loss_kernel: 0.0735 2022/11/01 23:09:15 - mmengine - INFO - Epoch(train) [233][60/63] lr: 1.0000e-05 eta: 15:10:53 time: 0.8829 data_time: 0.0157 memory: 27783 loss: 0.2621 loss_text: 0.1801 loss_kernel: 0.0820 2022/11/01 23:09:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:10:58 - mmengine - INFO - Epoch(train) [234][5/63] lr: 1.0000e-05 eta: 15:10:53 time: 10.3924 data_time: 9.5562 memory: 27783 loss: 0.2116 loss_text: 0.1444 loss_kernel: 0.0671 2022/11/01 23:11:02 - mmengine - INFO - Epoch(train) [234][10/63] lr: 1.0000e-05 eta: 15:12:19 time: 10.4530 data_time: 9.5675 memory: 27783 loss: 0.2289 loss_text: 0.1580 loss_kernel: 0.0709 2022/11/01 23:11:07 - mmengine - INFO - Epoch(train) [234][15/63] lr: 1.0000e-05 eta: 15:12:19 time: 0.9216 data_time: 0.0202 memory: 27783 loss: 0.2521 loss_text: 0.1740 loss_kernel: 0.0781 2022/11/01 23:11:11 - mmengine - INFO - Epoch(train) [234][20/63] lr: 1.0000e-05 eta: 15:11:32 time: 0.9226 data_time: 0.0191 memory: 27783 loss: 0.2014 loss_text: 0.1375 loss_kernel: 0.0639 2022/11/01 23:11:16 - mmengine - INFO - Epoch(train) [234][25/63] lr: 1.0000e-05 eta: 15:11:32 time: 0.9467 data_time: 0.0324 memory: 27783 loss: 0.1682 loss_text: 0.1154 loss_kernel: 0.0527 2022/11/01 23:11:21 - mmengine - INFO - Epoch(train) [234][30/63] lr: 1.0000e-05 eta: 15:10:47 time: 0.9746 data_time: 0.0202 memory: 27783 loss: 0.1986 loss_text: 0.1369 loss_kernel: 0.0617 2022/11/01 23:11:26 - mmengine - INFO - Epoch(train) [234][35/63] lr: 1.0000e-05 eta: 15:10:47 time: 0.9614 data_time: 0.0173 memory: 27783 loss: 0.1769 loss_text: 0.1209 loss_kernel: 0.0559 2022/11/01 23:11:30 - mmengine - INFO - Epoch(train) [234][40/63] lr: 1.0000e-05 eta: 15:10:00 time: 0.9148 data_time: 0.0190 memory: 27783 loss: 0.1672 loss_text: 0.1135 loss_kernel: 0.0537 2022/11/01 23:11:35 - mmengine - INFO - Epoch(train) [234][45/63] lr: 1.0000e-05 eta: 15:10:00 time: 0.9150 data_time: 0.0179 memory: 27783 loss: 0.2351 loss_text: 0.1629 loss_kernel: 0.0722 2022/11/01 23:11:40 - mmengine - INFO - Epoch(train) [234][50/63] lr: 1.0000e-05 eta: 15:09:14 time: 0.9518 data_time: 0.0270 memory: 27783 loss: 0.2381 loss_text: 0.1658 loss_kernel: 0.0722 2022/11/01 23:11:44 - mmengine - INFO - Epoch(train) [234][55/63] lr: 1.0000e-05 eta: 15:09:14 time: 0.9290 data_time: 0.0193 memory: 27783 loss: 0.2101 loss_text: 0.1442 loss_kernel: 0.0659 2022/11/01 23:11:49 - mmengine - INFO - Epoch(train) [234][60/63] lr: 1.0000e-05 eta: 15:08:28 time: 0.9425 data_time: 0.0151 memory: 27783 loss: 0.2038 loss_text: 0.1393 loss_kernel: 0.0646 2022/11/01 23:11:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:13:31 - mmengine - INFO - Epoch(train) [235][5/63] lr: 1.0000e-05 eta: 15:08:28 time: 10.3445 data_time: 9.4888 memory: 27783 loss: 0.2187 loss_text: 0.1503 loss_kernel: 0.0684 2022/11/01 23:13:36 - mmengine - INFO - Epoch(train) [235][10/63] lr: 1.0000e-05 eta: 15:09:53 time: 10.4312 data_time: 9.5004 memory: 27783 loss: 0.1394 loss_text: 0.0944 loss_kernel: 0.0450 2022/11/01 23:13:40 - mmengine - INFO - Epoch(train) [235][15/63] lr: 1.0000e-05 eta: 15:09:53 time: 0.9281 data_time: 0.0194 memory: 27783 loss: 0.1940 loss_text: 0.1336 loss_kernel: 0.0604 2022/11/01 23:13:45 - mmengine - INFO - Epoch(train) [235][20/63] lr: 1.0000e-05 eta: 15:09:06 time: 0.9055 data_time: 0.0150 memory: 27783 loss: 0.2303 loss_text: 0.1599 loss_kernel: 0.0704 2022/11/01 23:13:50 - mmengine - INFO - Epoch(train) [235][25/63] lr: 1.0000e-05 eta: 15:09:06 time: 0.9286 data_time: 0.0259 memory: 27783 loss: 0.2384 loss_text: 0.1649 loss_kernel: 0.0735 2022/11/01 23:13:54 - mmengine - INFO - Epoch(train) [235][30/63] lr: 1.0000e-05 eta: 15:08:20 time: 0.9410 data_time: 0.0191 memory: 27783 loss: 0.2559 loss_text: 0.1763 loss_kernel: 0.0796 2022/11/01 23:13:59 - mmengine - INFO - Epoch(train) [235][35/63] lr: 1.0000e-05 eta: 15:08:20 time: 0.9264 data_time: 0.0179 memory: 27783 loss: 0.2186 loss_text: 0.1495 loss_kernel: 0.0691 2022/11/01 23:14:04 - mmengine - INFO - Epoch(train) [235][40/63] lr: 1.0000e-05 eta: 15:07:34 time: 0.9199 data_time: 0.0194 memory: 27783 loss: 0.2018 loss_text: 0.1377 loss_kernel: 0.0641 2022/11/01 23:14:08 - mmengine - INFO - Epoch(train) [235][45/63] lr: 1.0000e-05 eta: 15:07:34 time: 0.9213 data_time: 0.0173 memory: 27783 loss: 0.2352 loss_text: 0.1621 loss_kernel: 0.0731 2022/11/01 23:14:13 - mmengine - INFO - Epoch(train) [235][50/63] lr: 1.0000e-05 eta: 15:06:48 time: 0.9153 data_time: 0.0246 memory: 27783 loss: 0.2218 loss_text: 0.1531 loss_kernel: 0.0686 2022/11/01 23:14:17 - mmengine - INFO - Epoch(train) [235][55/63] lr: 1.0000e-05 eta: 15:06:48 time: 0.9180 data_time: 0.0183 memory: 27783 loss: 0.1853 loss_text: 0.1272 loss_kernel: 0.0581 2022/11/01 23:14:22 - mmengine - INFO - Epoch(train) [235][60/63] lr: 1.0000e-05 eta: 15:06:02 time: 0.9237 data_time: 0.0143 memory: 27783 loss: 0.1820 loss_text: 0.1253 loss_kernel: 0.0567 2022/11/01 23:14:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:16:05 - mmengine - INFO - Epoch(train) [236][5/63] lr: 1.0000e-05 eta: 15:06:02 time: 10.4332 data_time: 9.5576 memory: 27783 loss: 0.1546 loss_text: 0.1053 loss_kernel: 0.0493 2022/11/01 23:16:09 - mmengine - INFO - Epoch(train) [236][10/63] lr: 1.0000e-05 eta: 15:07:26 time: 10.4842 data_time: 9.5742 memory: 27783 loss: 0.1774 loss_text: 0.1204 loss_kernel: 0.0569 2022/11/01 23:16:14 - mmengine - INFO - Epoch(train) [236][15/63] lr: 1.0000e-05 eta: 15:07:26 time: 0.9185 data_time: 0.0238 memory: 27783 loss: 0.1890 loss_text: 0.1284 loss_kernel: 0.0606 2022/11/01 23:16:18 - mmengine - INFO - Epoch(train) [236][20/63] lr: 1.0000e-05 eta: 15:06:40 time: 0.9139 data_time: 0.0185 memory: 27783 loss: 0.1838 loss_text: 0.1262 loss_kernel: 0.0576 2022/11/01 23:16:23 - mmengine - INFO - Epoch(train) [236][25/63] lr: 1.0000e-05 eta: 15:06:40 time: 0.9341 data_time: 0.0250 memory: 27783 loss: 0.1721 loss_text: 0.1190 loss_kernel: 0.0532 2022/11/01 23:16:28 - mmengine - INFO - Epoch(train) [236][30/63] lr: 1.0000e-05 eta: 15:05:54 time: 0.9458 data_time: 0.0177 memory: 27783 loss: 0.1877 loss_text: 0.1301 loss_kernel: 0.0577 2022/11/01 23:16:32 - mmengine - INFO - Epoch(train) [236][35/63] lr: 1.0000e-05 eta: 15:05:54 time: 0.9351 data_time: 0.0233 memory: 27783 loss: 0.1764 loss_text: 0.1211 loss_kernel: 0.0553 2022/11/01 23:16:37 - mmengine - INFO - Epoch(train) [236][40/63] lr: 1.0000e-05 eta: 15:05:08 time: 0.9138 data_time: 0.0202 memory: 27783 loss: 0.1680 loss_text: 0.1145 loss_kernel: 0.0535 2022/11/01 23:16:42 - mmengine - INFO - Epoch(train) [236][45/63] lr: 1.0000e-05 eta: 15:05:08 time: 0.9305 data_time: 0.0186 memory: 27783 loss: 0.1996 loss_text: 0.1374 loss_kernel: 0.0623 2022/11/01 23:16:46 - mmengine - INFO - Epoch(train) [236][50/63] lr: 1.0000e-05 eta: 15:04:22 time: 0.9232 data_time: 0.0268 memory: 27783 loss: 0.2177 loss_text: 0.1502 loss_kernel: 0.0675 2022/11/01 23:16:51 - mmengine - INFO - Epoch(train) [236][55/63] lr: 1.0000e-05 eta: 15:04:22 time: 0.8877 data_time: 0.0167 memory: 27783 loss: 0.2076 loss_text: 0.1425 loss_kernel: 0.0651 2022/11/01 23:16:55 - mmengine - INFO - Epoch(train) [236][60/63] lr: 1.0000e-05 eta: 15:03:35 time: 0.8795 data_time: 0.0137 memory: 27783 loss: 0.1931 loss_text: 0.1318 loss_kernel: 0.0613 2022/11/01 23:16:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:18:37 - mmengine - INFO - Epoch(train) [237][5/63] lr: 1.0000e-05 eta: 15:03:35 time: 10.3294 data_time: 9.4756 memory: 27783 loss: 0.1974 loss_text: 0.1345 loss_kernel: 0.0629 2022/11/01 23:18:41 - mmengine - INFO - Epoch(train) [237][10/63] lr: 1.0000e-05 eta: 15:04:57 time: 10.3839 data_time: 9.4801 memory: 27783 loss: 0.1825 loss_text: 0.1246 loss_kernel: 0.0579 2022/11/01 23:18:46 - mmengine - INFO - Epoch(train) [237][15/63] lr: 1.0000e-05 eta: 15:04:57 time: 0.9381 data_time: 0.0194 memory: 27783 loss: 0.1434 loss_text: 0.0975 loss_kernel: 0.0459 2022/11/01 23:18:51 - mmengine - INFO - Epoch(train) [237][20/63] lr: 1.0000e-05 eta: 15:04:12 time: 0.9361 data_time: 0.0233 memory: 27783 loss: 0.1513 loss_text: 0.1030 loss_kernel: 0.0483 2022/11/01 23:18:55 - mmengine - INFO - Epoch(train) [237][25/63] lr: 1.0000e-05 eta: 15:04:12 time: 0.9053 data_time: 0.0191 memory: 27783 loss: 0.1733 loss_text: 0.1189 loss_kernel: 0.0543 2022/11/01 23:19:00 - mmengine - INFO - Epoch(train) [237][30/63] lr: 1.0000e-05 eta: 15:03:25 time: 0.8908 data_time: 0.0154 memory: 27783 loss: 0.2302 loss_text: 0.1587 loss_kernel: 0.0714 2022/11/01 23:19:04 - mmengine - INFO - Epoch(train) [237][35/63] lr: 1.0000e-05 eta: 15:03:25 time: 0.9261 data_time: 0.0225 memory: 27783 loss: 0.2120 loss_text: 0.1451 loss_kernel: 0.0670 2022/11/01 23:19:09 - mmengine - INFO - Epoch(train) [237][40/63] lr: 1.0000e-05 eta: 15:02:40 time: 0.9307 data_time: 0.0230 memory: 27783 loss: 0.1740 loss_text: 0.1184 loss_kernel: 0.0556 2022/11/01 23:19:13 - mmengine - INFO - Epoch(train) [237][45/63] lr: 1.0000e-05 eta: 15:02:40 time: 0.9050 data_time: 0.0205 memory: 27783 loss: 0.1834 loss_text: 0.1271 loss_kernel: 0.0563 2022/11/01 23:19:18 - mmengine - INFO - Epoch(train) [237][50/63] lr: 1.0000e-05 eta: 15:01:54 time: 0.9293 data_time: 0.0230 memory: 27783 loss: 0.2095 loss_text: 0.1454 loss_kernel: 0.0641 2022/11/01 23:19:23 - mmengine - INFO - Epoch(train) [237][55/63] lr: 1.0000e-05 eta: 15:01:54 time: 0.9264 data_time: 0.0202 memory: 27783 loss: 0.2228 loss_text: 0.1528 loss_kernel: 0.0701 2022/11/01 23:19:27 - mmengine - INFO - Epoch(train) [237][60/63] lr: 1.0000e-05 eta: 15:01:08 time: 0.9034 data_time: 0.0196 memory: 27783 loss: 0.1956 loss_text: 0.1336 loss_kernel: 0.0620 2022/11/01 23:19:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:21:10 - mmengine - INFO - Epoch(train) [238][5/63] lr: 1.0000e-05 eta: 15:01:08 time: 10.3961 data_time: 9.5307 memory: 27783 loss: 0.2151 loss_text: 0.1473 loss_kernel: 0.0678 2022/11/01 23:21:14 - mmengine - INFO - Epoch(train) [238][10/63] lr: 1.0000e-05 eta: 15:02:30 time: 10.4545 data_time: 9.5401 memory: 27783 loss: 0.2196 loss_text: 0.1512 loss_kernel: 0.0685 2022/11/01 23:21:19 - mmengine - INFO - Epoch(train) [238][15/63] lr: 1.0000e-05 eta: 15:02:30 time: 0.9072 data_time: 0.0204 memory: 27783 loss: 0.1940 loss_text: 0.1330 loss_kernel: 0.0610 2022/11/01 23:21:23 - mmengine - INFO - Epoch(train) [238][20/63] lr: 1.0000e-05 eta: 15:01:44 time: 0.9121 data_time: 0.0170 memory: 27783 loss: 0.2305 loss_text: 0.1582 loss_kernel: 0.0723 2022/11/01 23:21:28 - mmengine - INFO - Epoch(train) [238][25/63] lr: 1.0000e-05 eta: 15:01:44 time: 0.9904 data_time: 0.0813 memory: 27783 loss: 0.2039 loss_text: 0.1397 loss_kernel: 0.0642 2022/11/01 23:21:33 - mmengine - INFO - Epoch(train) [238][30/63] lr: 1.0000e-05 eta: 15:00:59 time: 0.9915 data_time: 0.0701 memory: 27783 loss: 0.1907 loss_text: 0.1313 loss_kernel: 0.0594 2022/11/01 23:21:38 - mmengine - INFO - Epoch(train) [238][35/63] lr: 1.0000e-05 eta: 15:00:59 time: 0.9379 data_time: 0.0146 memory: 27783 loss: 0.2047 loss_text: 0.1412 loss_kernel: 0.0636 2022/11/01 23:21:42 - mmengine - INFO - Epoch(train) [238][40/63] lr: 1.0000e-05 eta: 15:00:14 time: 0.9157 data_time: 0.0184 memory: 27783 loss: 0.2091 loss_text: 0.1427 loss_kernel: 0.0665 2022/11/01 23:21:47 - mmengine - INFO - Epoch(train) [238][45/63] lr: 1.0000e-05 eta: 15:00:14 time: 0.9097 data_time: 0.0223 memory: 27783 loss: 0.2049 loss_text: 0.1395 loss_kernel: 0.0655 2022/11/01 23:21:51 - mmengine - INFO - Epoch(train) [238][50/63] lr: 1.0000e-05 eta: 14:59:28 time: 0.9133 data_time: 0.0274 memory: 27783 loss: 0.1755 loss_text: 0.1198 loss_kernel: 0.0557 2022/11/01 23:21:56 - mmengine - INFO - Epoch(train) [238][55/63] lr: 1.0000e-05 eta: 14:59:28 time: 0.8972 data_time: 0.0165 memory: 27783 loss: 0.1587 loss_text: 0.1083 loss_kernel: 0.0504 2022/11/01 23:22:01 - mmengine - INFO - Epoch(train) [238][60/63] lr: 1.0000e-05 eta: 14:58:42 time: 0.9125 data_time: 0.0172 memory: 27783 loss: 0.1598 loss_text: 0.1087 loss_kernel: 0.0511 2022/11/01 23:22:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:23:43 - mmengine - INFO - Epoch(train) [239][5/63] lr: 1.0000e-05 eta: 14:58:42 time: 10.3592 data_time: 9.5209 memory: 27783 loss: 0.2000 loss_text: 0.1366 loss_kernel: 0.0634 2022/11/01 23:23:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:23:47 - mmengine - INFO - Epoch(train) [239][10/63] lr: 1.0000e-05 eta: 15:00:03 time: 10.4254 data_time: 9.5339 memory: 27783 loss: 0.2184 loss_text: 0.1500 loss_kernel: 0.0684 2022/11/01 23:23:52 - mmengine - INFO - Epoch(train) [239][15/63] lr: 1.0000e-05 eta: 15:00:03 time: 0.9369 data_time: 0.0236 memory: 27783 loss: 0.1999 loss_text: 0.1375 loss_kernel: 0.0625 2022/11/01 23:23:57 - mmengine - INFO - Epoch(train) [239][20/63] lr: 1.0000e-05 eta: 14:59:18 time: 0.9833 data_time: 0.0190 memory: 27783 loss: 0.1936 loss_text: 0.1338 loss_kernel: 0.0598 2022/11/01 23:24:02 - mmengine - INFO - Epoch(train) [239][25/63] lr: 1.0000e-05 eta: 14:59:18 time: 0.9818 data_time: 0.0345 memory: 27783 loss: 0.2151 loss_text: 0.1489 loss_kernel: 0.0662 2022/11/01 23:24:06 - mmengine - INFO - Epoch(train) [239][30/63] lr: 1.0000e-05 eta: 14:58:33 time: 0.9227 data_time: 0.0214 memory: 27783 loss: 0.2225 loss_text: 0.1552 loss_kernel: 0.0673 2022/11/01 23:24:11 - mmengine - INFO - Epoch(train) [239][35/63] lr: 1.0000e-05 eta: 14:58:33 time: 0.9205 data_time: 0.0201 memory: 27783 loss: 0.1972 loss_text: 0.1375 loss_kernel: 0.0597 2022/11/01 23:24:16 - mmengine - INFO - Epoch(train) [239][40/63] lr: 1.0000e-05 eta: 14:57:47 time: 0.9198 data_time: 0.0212 memory: 27783 loss: 0.1967 loss_text: 0.1349 loss_kernel: 0.0618 2022/11/01 23:24:20 - mmengine - INFO - Epoch(train) [239][45/63] lr: 1.0000e-05 eta: 14:57:47 time: 0.9128 data_time: 0.0170 memory: 27783 loss: 0.2266 loss_text: 0.1556 loss_kernel: 0.0710 2022/11/01 23:24:25 - mmengine - INFO - Epoch(train) [239][50/63] lr: 1.0000e-05 eta: 14:57:02 time: 0.9409 data_time: 0.0278 memory: 27783 loss: 0.2290 loss_text: 0.1580 loss_kernel: 0.0710 2022/11/01 23:24:29 - mmengine - INFO - Epoch(train) [239][55/63] lr: 1.0000e-05 eta: 14:57:02 time: 0.9286 data_time: 0.0181 memory: 27783 loss: 0.2043 loss_text: 0.1403 loss_kernel: 0.0641 2022/11/01 23:24:34 - mmengine - INFO - Epoch(train) [239][60/63] lr: 1.0000e-05 eta: 14:56:16 time: 0.8866 data_time: 0.0148 memory: 27783 loss: 0.2187 loss_text: 0.1501 loss_kernel: 0.0686 2022/11/01 23:24:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:26:16 - mmengine - INFO - Epoch(train) [240][5/63] lr: 1.0000e-05 eta: 14:56:16 time: 10.3770 data_time: 9.5403 memory: 27783 loss: 0.2610 loss_text: 0.1812 loss_kernel: 0.0798 2022/11/01 23:26:21 - mmengine - INFO - Epoch(train) [240][10/63] lr: 1.0000e-05 eta: 14:57:37 time: 10.4720 data_time: 9.5566 memory: 27783 loss: 0.2160 loss_text: 0.1488 loss_kernel: 0.0672 2022/11/01 23:26:25 - mmengine - INFO - Epoch(train) [240][15/63] lr: 1.0000e-05 eta: 14:57:37 time: 0.9091 data_time: 0.0224 memory: 27783 loss: 0.2255 loss_text: 0.1546 loss_kernel: 0.0709 2022/11/01 23:26:30 - mmengine - INFO - Epoch(train) [240][20/63] lr: 1.0000e-05 eta: 14:56:51 time: 0.8963 data_time: 0.0194 memory: 27783 loss: 0.1987 loss_text: 0.1363 loss_kernel: 0.0624 2022/11/01 23:26:34 - mmengine - INFO - Epoch(train) [240][25/63] lr: 1.0000e-05 eta: 14:56:51 time: 0.9155 data_time: 0.0299 memory: 27783 loss: 0.1829 loss_text: 0.1249 loss_kernel: 0.0580 2022/11/01 23:26:39 - mmengine - INFO - Epoch(train) [240][30/63] lr: 1.0000e-05 eta: 14:56:05 time: 0.9187 data_time: 0.0188 memory: 27783 loss: 0.1683 loss_text: 0.1150 loss_kernel: 0.0533 2022/11/01 23:26:44 - mmengine - INFO - Epoch(train) [240][35/63] lr: 1.0000e-05 eta: 14:56:05 time: 0.9440 data_time: 0.0245 memory: 27783 loss: 0.1674 loss_text: 0.1152 loss_kernel: 0.0522 2022/11/01 23:26:49 - mmengine - INFO - Epoch(train) [240][40/63] lr: 1.0000e-05 eta: 14:55:21 time: 0.9928 data_time: 0.0231 memory: 27783 loss: 0.2144 loss_text: 0.1471 loss_kernel: 0.0673 2022/11/01 23:26:53 - mmengine - INFO - Epoch(train) [240][45/63] lr: 1.0000e-05 eta: 14:55:21 time: 0.9692 data_time: 0.0195 memory: 27783 loss: 0.1781 loss_text: 0.1203 loss_kernel: 0.0579 2022/11/01 23:26:58 - mmengine - INFO - Epoch(train) [240][50/63] lr: 1.0000e-05 eta: 14:54:35 time: 0.9068 data_time: 0.0284 memory: 27783 loss: 0.1931 loss_text: 0.1320 loss_kernel: 0.0611 2022/11/01 23:27:02 - mmengine - INFO - Epoch(train) [240][55/63] lr: 1.0000e-05 eta: 14:54:35 time: 0.8875 data_time: 0.0164 memory: 27783 loss: 0.2224 loss_text: 0.1536 loss_kernel: 0.0688 2022/11/01 23:27:07 - mmengine - INFO - Epoch(train) [240][60/63] lr: 1.0000e-05 eta: 14:53:50 time: 0.8871 data_time: 0.0151 memory: 27783 loss: 0.2187 loss_text: 0.1510 loss_kernel: 0.0677 2022/11/01 23:27:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:27:09 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/11/01 23:27:47 - mmengine - INFO - Epoch(val) [240][5/500] eta: 14:53:50 time: 3.2388 data_time: 3.1673 memory: 27783 2022/11/01 23:27:47 - mmengine - INFO - Epoch(val) [240][10/500] eta: 0:26:28 time: 3.2411 data_time: 3.1673 memory: 3208 2022/11/01 23:27:47 - mmengine - INFO - Epoch(val) [240][15/500] eta: 0:26:28 time: 0.0742 data_time: 0.0028 memory: 3208 2022/11/01 23:27:48 - mmengine - INFO - Epoch(val) [240][20/500] eta: 0:00:36 time: 0.0752 data_time: 0.0036 memory: 3208 2022/11/01 23:27:48 - mmengine - INFO - Epoch(val) [240][25/500] eta: 0:00:36 time: 0.0721 data_time: 0.0036 memory: 3208 2022/11/01 23:27:49 - mmengine - INFO - Epoch(val) [240][30/500] eta: 0:00:35 time: 0.0758 data_time: 0.0028 memory: 3208 2022/11/01 23:27:49 - mmengine - INFO - Epoch(val) [240][35/500] eta: 0:00:35 time: 0.0767 data_time: 0.0028 memory: 3208 2022/11/01 23:27:49 - mmengine - INFO - Epoch(val) [240][40/500] eta: 0:00:34 time: 0.0759 data_time: 0.0025 memory: 3208 2022/11/01 23:27:50 - mmengine - INFO - Epoch(val) [240][45/500] eta: 0:00:34 time: 0.0777 data_time: 0.0027 memory: 3208 2022/11/01 23:27:50 - mmengine - INFO - Epoch(val) [240][50/500] eta: 0:00:33 time: 0.0751 data_time: 0.0031 memory: 3208 2022/11/01 23:27:50 - mmengine - INFO - Epoch(val) [240][55/500] eta: 0:00:33 time: 0.0766 data_time: 0.0031 memory: 3208 2022/11/01 23:27:51 - mmengine - INFO - Epoch(val) [240][60/500] eta: 0:00:32 time: 0.0738 data_time: 0.0030 memory: 3208 2022/11/01 23:27:51 - mmengine - INFO - Epoch(val) [240][65/500] eta: 0:00:32 time: 0.0795 data_time: 0.0033 memory: 3208 2022/11/01 23:27:52 - mmengine - INFO - Epoch(val) [240][70/500] eta: 0:00:36 time: 0.0843 data_time: 0.0035 memory: 3208 2022/11/01 23:27:52 - mmengine - INFO - Epoch(val) [240][75/500] eta: 0:00:36 time: 0.0802 data_time: 0.0031 memory: 3208 2022/11/01 23:27:52 - mmengine - INFO - Epoch(val) [240][80/500] eta: 0:00:31 time: 0.0748 data_time: 0.0028 memory: 3208 2022/11/01 23:27:53 - mmengine - INFO - Epoch(val) [240][85/500] eta: 0:00:31 time: 0.0723 data_time: 0.0058 memory: 3208 2022/11/01 23:27:53 - mmengine - INFO - Epoch(val) [240][90/500] eta: 0:00:32 time: 0.0783 data_time: 0.0059 memory: 3208 2022/11/01 23:27:54 - mmengine - INFO - Epoch(val) [240][95/500] eta: 0:00:32 time: 0.0770 data_time: 0.0026 memory: 3208 2022/11/01 23:27:54 - mmengine - INFO - Epoch(val) [240][100/500] eta: 0:00:28 time: 0.0721 data_time: 0.0026 memory: 3208 2022/11/01 23:27:54 - mmengine - INFO - Epoch(val) [240][105/500] eta: 0:00:28 time: 0.0724 data_time: 0.0026 memory: 3208 2022/11/01 23:27:55 - mmengine - INFO - Epoch(val) [240][110/500] eta: 0:00:27 time: 0.0706 data_time: 0.0025 memory: 3208 2022/11/01 23:27:55 - mmengine - INFO - Epoch(val) [240][115/500] eta: 0:00:27 time: 0.0715 data_time: 0.0026 memory: 3208 2022/11/01 23:27:55 - mmengine - INFO - Epoch(val) [240][120/500] eta: 0:00:28 time: 0.0746 data_time: 0.0027 memory: 3208 2022/11/01 23:27:56 - mmengine - INFO - Epoch(val) [240][125/500] eta: 0:00:28 time: 0.0725 data_time: 0.0027 memory: 3208 2022/11/01 23:27:56 - mmengine - INFO - Epoch(val) [240][130/500] eta: 0:00:26 time: 0.0710 data_time: 0.0025 memory: 3208 2022/11/01 23:27:56 - mmengine - INFO - Epoch(val) [240][135/500] eta: 0:00:26 time: 0.0741 data_time: 0.0029 memory: 3208 2022/11/01 23:27:57 - mmengine - INFO - Epoch(val) [240][140/500] eta: 0:00:27 time: 0.0760 data_time: 0.0034 memory: 3208 2022/11/01 23:27:57 - mmengine - INFO - Epoch(val) [240][145/500] eta: 0:00:27 time: 0.0798 data_time: 0.0034 memory: 3208 2022/11/01 23:27:58 - mmengine - INFO - Epoch(val) [240][150/500] eta: 0:00:27 time: 0.0794 data_time: 0.0029 memory: 3208 2022/11/01 23:27:58 - mmengine - INFO - Epoch(val) [240][155/500] eta: 0:00:27 time: 0.0794 data_time: 0.0028 memory: 3208 2022/11/01 23:27:58 - mmengine - INFO - Epoch(val) [240][160/500] eta: 0:00:27 time: 0.0798 data_time: 0.0027 memory: 3208 2022/11/01 23:27:59 - mmengine - INFO - Epoch(val) [240][165/500] eta: 0:00:27 time: 0.0744 data_time: 0.0027 memory: 3208 2022/11/01 23:27:59 - mmengine - INFO - Epoch(val) [240][170/500] eta: 0:00:25 time: 0.0771 data_time: 0.0027 memory: 3208 2022/11/01 23:28:00 - mmengine - INFO - Epoch(val) [240][175/500] eta: 0:00:25 time: 0.0760 data_time: 0.0030 memory: 3208 2022/11/01 23:28:00 - mmengine - INFO - Epoch(val) [240][180/500] eta: 0:00:23 time: 0.0736 data_time: 0.0031 memory: 3208 2022/11/01 23:28:00 - mmengine - INFO - Epoch(val) [240][185/500] eta: 0:00:23 time: 0.0789 data_time: 0.0028 memory: 3208 2022/11/01 23:28:01 - mmengine - INFO - Epoch(val) [240][190/500] eta: 0:00:26 time: 0.0856 data_time: 0.0030 memory: 3208 2022/11/01 23:28:01 - mmengine - INFO - Epoch(val) [240][195/500] eta: 0:00:26 time: 0.0813 data_time: 0.0032 memory: 3208 2022/11/01 23:28:02 - mmengine - INFO - Epoch(val) [240][200/500] eta: 0:00:24 time: 0.0818 data_time: 0.0031 memory: 3208 2022/11/01 23:28:02 - mmengine - INFO - Epoch(val) [240][205/500] eta: 0:00:24 time: 0.0827 data_time: 0.0031 memory: 3208 2022/11/01 23:28:02 - mmengine - INFO - Epoch(val) [240][210/500] eta: 0:00:21 time: 0.0733 data_time: 0.0034 memory: 3208 2022/11/01 23:28:03 - mmengine - INFO - Epoch(val) [240][215/500] eta: 0:00:21 time: 0.0734 data_time: 0.0031 memory: 3208 2022/11/01 23:28:03 - mmengine - INFO - Epoch(val) [240][220/500] eta: 0:00:20 time: 0.0740 data_time: 0.0025 memory: 3208 2022/11/01 23:28:03 - mmengine - INFO - Epoch(val) [240][225/500] eta: 0:00:20 time: 0.0775 data_time: 0.0026 memory: 3208 2022/11/01 23:28:04 - mmengine - INFO - Epoch(val) [240][230/500] eta: 0:00:20 time: 0.0749 data_time: 0.0025 memory: 3208 2022/11/01 23:28:04 - mmengine - INFO - Epoch(val) [240][235/500] eta: 0:00:20 time: 0.0704 data_time: 0.0024 memory: 3208 2022/11/01 23:28:05 - mmengine - INFO - Epoch(val) [240][240/500] eta: 0:00:18 time: 0.0720 data_time: 0.0024 memory: 3208 2022/11/01 23:28:05 - mmengine - INFO - Epoch(val) [240][245/500] eta: 0:00:18 time: 0.0689 data_time: 0.0023 memory: 3208 2022/11/01 23:28:05 - mmengine - INFO - Epoch(val) [240][250/500] eta: 0:00:17 time: 0.0699 data_time: 0.0025 memory: 3208 2022/11/01 23:28:06 - mmengine - INFO - Epoch(val) [240][255/500] eta: 0:00:17 time: 0.0725 data_time: 0.0026 memory: 3208 2022/11/01 23:28:06 - mmengine - INFO - Epoch(val) [240][260/500] eta: 0:00:16 time: 0.0703 data_time: 0.0023 memory: 3208 2022/11/01 23:28:06 - mmengine - INFO - Epoch(val) [240][265/500] eta: 0:00:16 time: 0.0685 data_time: 0.0022 memory: 3208 2022/11/01 23:28:07 - mmengine - INFO - Epoch(val) [240][270/500] eta: 0:00:16 time: 0.0699 data_time: 0.0023 memory: 3208 2022/11/01 23:28:07 - mmengine - INFO - Epoch(val) [240][275/500] eta: 0:00:16 time: 0.0685 data_time: 0.0023 memory: 3208 2022/11/01 23:28:07 - mmengine - INFO - Epoch(val) [240][280/500] eta: 0:00:15 time: 0.0716 data_time: 0.0023 memory: 3208 2022/11/01 23:28:08 - mmengine - INFO - Epoch(val) [240][285/500] eta: 0:00:15 time: 0.0734 data_time: 0.0024 memory: 3208 2022/11/01 23:28:08 - mmengine - INFO - Epoch(val) [240][290/500] eta: 0:00:15 time: 0.0716 data_time: 0.0023 memory: 3208 2022/11/01 23:28:08 - mmengine - INFO - Epoch(val) [240][295/500] eta: 0:00:15 time: 0.0731 data_time: 0.0024 memory: 3208 2022/11/01 23:28:09 - mmengine - INFO - Epoch(val) [240][300/500] eta: 0:00:14 time: 0.0735 data_time: 0.0025 memory: 3208 2022/11/01 23:28:09 - mmengine - INFO - Epoch(val) [240][305/500] eta: 0:00:14 time: 0.0713 data_time: 0.0025 memory: 3208 2022/11/01 23:28:10 - mmengine - INFO - Epoch(val) [240][310/500] eta: 0:00:13 time: 0.0717 data_time: 0.0025 memory: 3208 2022/11/01 23:28:10 - mmengine - INFO - Epoch(val) [240][315/500] eta: 0:00:13 time: 0.0739 data_time: 0.0023 memory: 3208 2022/11/01 23:28:10 - mmengine - INFO - Epoch(val) [240][320/500] eta: 0:00:12 time: 0.0722 data_time: 0.0023 memory: 3208 2022/11/01 23:28:11 - mmengine - INFO - Epoch(val) [240][325/500] eta: 0:00:12 time: 0.0849 data_time: 0.0025 memory: 3208 2022/11/01 23:28:11 - mmengine - INFO - Epoch(val) [240][330/500] eta: 0:00:14 time: 0.0837 data_time: 0.0023 memory: 3208 2022/11/01 23:28:11 - mmengine - INFO - Epoch(val) [240][335/500] eta: 0:00:14 time: 0.0677 data_time: 0.0022 memory: 3208 2022/11/01 23:28:12 - mmengine - INFO - Epoch(val) [240][340/500] eta: 0:00:13 time: 0.0843 data_time: 0.0024 memory: 3208 2022/11/01 23:28:12 - mmengine - INFO - Epoch(val) [240][345/500] eta: 0:00:13 time: 0.0895 data_time: 0.0030 memory: 3208 2022/11/01 23:28:13 - mmengine - INFO - Epoch(val) [240][350/500] eta: 0:00:12 time: 0.0813 data_time: 0.0032 memory: 3208 2022/11/01 23:28:13 - mmengine - INFO - Epoch(val) [240][355/500] eta: 0:00:12 time: 0.0771 data_time: 0.0028 memory: 3208 2022/11/01 23:28:13 - mmengine - INFO - Epoch(val) [240][360/500] eta: 0:00:09 time: 0.0706 data_time: 0.0027 memory: 3208 2022/11/01 23:28:14 - mmengine - INFO - Epoch(val) [240][365/500] eta: 0:00:09 time: 0.0714 data_time: 0.0025 memory: 3208 2022/11/01 23:28:14 - mmengine - INFO - Epoch(val) [240][370/500] eta: 0:00:08 time: 0.0682 data_time: 0.0022 memory: 3208 2022/11/01 23:28:14 - mmengine - INFO - Epoch(val) [240][375/500] eta: 0:00:08 time: 0.0675 data_time: 0.0023 memory: 3208 2022/11/01 23:28:15 - mmengine - INFO - Epoch(val) [240][380/500] eta: 0:00:08 time: 0.0727 data_time: 0.0025 memory: 3208 2022/11/01 23:28:15 - mmengine - INFO - Epoch(val) [240][385/500] eta: 0:00:08 time: 0.0744 data_time: 0.0025 memory: 3208 2022/11/01 23:28:16 - mmengine - INFO - Epoch(val) [240][390/500] eta: 0:00:07 time: 0.0712 data_time: 0.0025 memory: 3208 2022/11/01 23:28:16 - mmengine - INFO - Epoch(val) [240][395/500] eta: 0:00:07 time: 0.0708 data_time: 0.0024 memory: 3208 2022/11/01 23:28:16 - mmengine - INFO - Epoch(val) [240][400/500] eta: 0:00:07 time: 0.0717 data_time: 0.0024 memory: 3208 2022/11/01 23:28:17 - mmengine - INFO - Epoch(val) [240][405/500] eta: 0:00:07 time: 0.0715 data_time: 0.0023 memory: 3208 2022/11/01 23:28:17 - mmengine - INFO - Epoch(val) [240][410/500] eta: 0:00:06 time: 0.0720 data_time: 0.0023 memory: 3208 2022/11/01 23:28:17 - mmengine - INFO - Epoch(val) [240][415/500] eta: 0:00:06 time: 0.0725 data_time: 0.0024 memory: 3208 2022/11/01 23:28:18 - mmengine - INFO - Epoch(val) [240][420/500] eta: 0:00:05 time: 0.0684 data_time: 0.0026 memory: 3208 2022/11/01 23:28:18 - mmengine - INFO - Epoch(val) [240][425/500] eta: 0:00:05 time: 0.0706 data_time: 0.0028 memory: 3208 2022/11/01 23:28:18 - mmengine - INFO - Epoch(val) [240][430/500] eta: 0:00:05 time: 0.0736 data_time: 0.0026 memory: 3208 2022/11/01 23:28:19 - mmengine - INFO - Epoch(val) [240][435/500] eta: 0:00:05 time: 0.0700 data_time: 0.0023 memory: 3208 2022/11/01 23:28:19 - mmengine - INFO - Epoch(val) [240][440/500] eta: 0:00:04 time: 0.0697 data_time: 0.0023 memory: 3208 2022/11/01 23:28:19 - mmengine - INFO - Epoch(val) [240][445/500] eta: 0:00:04 time: 0.0732 data_time: 0.0023 memory: 3208 2022/11/01 23:28:20 - mmengine - INFO - Epoch(val) [240][450/500] eta: 0:00:03 time: 0.0743 data_time: 0.0022 memory: 3208 2022/11/01 23:28:20 - mmengine - INFO - Epoch(val) [240][455/500] eta: 0:00:03 time: 0.0733 data_time: 0.0024 memory: 3208 2022/11/01 23:28:21 - mmengine - INFO - Epoch(val) [240][460/500] eta: 0:00:02 time: 0.0716 data_time: 0.0025 memory: 3208 2022/11/01 23:28:21 - mmengine - INFO - Epoch(val) [240][465/500] eta: 0:00:02 time: 0.0676 data_time: 0.0024 memory: 3208 2022/11/01 23:28:21 - mmengine - INFO - Epoch(val) [240][470/500] eta: 0:00:02 time: 0.0681 data_time: 0.0024 memory: 3208 2022/11/01 23:28:22 - mmengine - INFO - Epoch(val) [240][475/500] eta: 0:00:02 time: 0.0688 data_time: 0.0025 memory: 3208 2022/11/01 23:28:22 - mmengine - INFO - Epoch(val) [240][480/500] eta: 0:00:01 time: 0.0686 data_time: 0.0024 memory: 3208 2022/11/01 23:28:22 - mmengine - INFO - Epoch(val) [240][485/500] eta: 0:00:01 time: 0.0708 data_time: 0.0023 memory: 3208 2022/11/01 23:28:23 - mmengine - INFO - Epoch(val) [240][490/500] eta: 0:00:00 time: 0.0744 data_time: 0.0023 memory: 3208 2022/11/01 23:28:23 - mmengine - INFO - Epoch(val) [240][495/500] eta: 0:00:00 time: 0.0768 data_time: 0.0023 memory: 3208 2022/11/01 23:28:23 - mmengine - INFO - Epoch(val) [240][500/500] eta: 0:00:00 time: 0.0720 data_time: 0.0023 memory: 3208 2022/11/01 23:28:23 - mmengine - INFO - Evaluating hmean-iou... 2022/11/01 23:28:24 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8344, precision: 0.7088, hmean: 0.7665 2022/11/01 23:28:24 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8344, precision: 0.7088, hmean: 0.7665 2022/11/01 23:28:24 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8344, precision: 0.7088, hmean: 0.7665 2022/11/01 23:28:24 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8344, precision: 0.7535, hmean: 0.7919 2022/11/01 23:28:24 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8344, precision: 0.7975, hmean: 0.8155 2022/11/01 23:28:24 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8329, precision: 0.8345, hmean: 0.8337 2022/11/01 23:28:24 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.8146, precision: 0.8817, hmean: 0.8468 2022/11/01 23:28:24 - mmengine - INFO - Epoch(val) [240][500/500] icdar/precision: 0.8817 icdar/recall: 0.8146 icdar/hmean: 0.8468 2022/11/01 23:30:03 - mmengine - INFO - Epoch(train) [241][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 10.3236 data_time: 9.4613 memory: 27783 loss: 0.1496 loss_text: 0.1026 loss_kernel: 0.0470 2022/11/01 23:30:07 - mmengine - INFO - Epoch(train) [241][10/63] lr: 1.0000e-05 eta: 14:55:08 time: 10.3751 data_time: 9.4724 memory: 27783 loss: 0.1606 loss_text: 0.1096 loss_kernel: 0.0509 2022/11/01 23:30:12 - mmengine - INFO - Epoch(train) [241][15/63] lr: 1.0000e-05 eta: 14:55:08 time: 0.9677 data_time: 0.0221 memory: 27783 loss: 0.1701 loss_text: 0.1163 loss_kernel: 0.0538 2022/11/01 23:30:17 - mmengine - INFO - Epoch(train) [241][20/63] lr: 1.0000e-05 eta: 14:54:24 time: 0.9857 data_time: 0.0162 memory: 27783 loss: 0.1804 loss_text: 0.1234 loss_kernel: 0.0571 2022/11/01 23:30:22 - mmengine - INFO - Epoch(train) [241][25/63] lr: 1.0000e-05 eta: 14:54:24 time: 0.9336 data_time: 0.0245 memory: 27783 loss: 0.1975 loss_text: 0.1346 loss_kernel: 0.0629 2022/11/01 23:30:26 - mmengine - INFO - Epoch(train) [241][30/63] lr: 1.0000e-05 eta: 14:53:39 time: 0.9165 data_time: 0.0232 memory: 27783 loss: 0.2030 loss_text: 0.1386 loss_kernel: 0.0644 2022/11/01 23:30:32 - mmengine - INFO - Epoch(train) [241][35/63] lr: 1.0000e-05 eta: 14:53:39 time: 0.9871 data_time: 0.0195 memory: 27783 loss: 0.2014 loss_text: 0.1377 loss_kernel: 0.0637 2022/11/01 23:30:36 - mmengine - INFO - Epoch(train) [241][40/63] lr: 1.0000e-05 eta: 14:52:54 time: 0.9781 data_time: 0.0223 memory: 27783 loss: 0.2321 loss_text: 0.1595 loss_kernel: 0.0726 2022/11/01 23:30:41 - mmengine - INFO - Epoch(train) [241][45/63] lr: 1.0000e-05 eta: 14:52:54 time: 0.8961 data_time: 0.0239 memory: 27783 loss: 0.2589 loss_text: 0.1793 loss_kernel: 0.0796 2022/11/01 23:30:45 - mmengine - INFO - Epoch(train) [241][50/63] lr: 1.0000e-05 eta: 14:52:09 time: 0.9117 data_time: 0.0230 memory: 27783 loss: 0.2523 loss_text: 0.1737 loss_kernel: 0.0786 2022/11/01 23:30:50 - mmengine - INFO - Epoch(train) [241][55/63] lr: 1.0000e-05 eta: 14:52:09 time: 0.9546 data_time: 0.0167 memory: 27783 loss: 0.1786 loss_text: 0.1210 loss_kernel: 0.0576 2022/11/01 23:30:55 - mmengine - INFO - Epoch(train) [241][60/63] lr: 1.0000e-05 eta: 14:51:24 time: 0.9390 data_time: 0.0150 memory: 27783 loss: 0.1800 loss_text: 0.1219 loss_kernel: 0.0581 2022/11/01 23:30:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:32:36 - mmengine - INFO - Epoch(train) [242][5/63] lr: 1.0000e-05 eta: 14:51:24 time: 10.3247 data_time: 9.4888 memory: 27783 loss: 0.1904 loss_text: 0.1304 loss_kernel: 0.0600 2022/11/01 23:32:41 - mmengine - INFO - Epoch(train) [242][10/63] lr: 1.0000e-05 eta: 14:52:42 time: 10.4148 data_time: 9.5222 memory: 27783 loss: 0.1750 loss_text: 0.1205 loss_kernel: 0.0545 2022/11/01 23:32:45 - mmengine - INFO - Epoch(train) [242][15/63] lr: 1.0000e-05 eta: 14:52:42 time: 0.9218 data_time: 0.0438 memory: 27783 loss: 0.2048 loss_text: 0.1406 loss_kernel: 0.0642 2022/11/01 23:32:50 - mmengine - INFO - Epoch(train) [242][20/63] lr: 1.0000e-05 eta: 14:51:57 time: 0.8999 data_time: 0.0229 memory: 27783 loss: 0.2386 loss_text: 0.1634 loss_kernel: 0.0752 2022/11/01 23:32:55 - mmengine - INFO - Epoch(train) [242][25/63] lr: 1.0000e-05 eta: 14:51:57 time: 0.9491 data_time: 0.0345 memory: 27783 loss: 0.2071 loss_text: 0.1418 loss_kernel: 0.0652 2022/11/01 23:32:59 - mmengine - INFO - Epoch(train) [242][30/63] lr: 1.0000e-05 eta: 14:51:12 time: 0.9332 data_time: 0.0220 memory: 27783 loss: 0.1847 loss_text: 0.1279 loss_kernel: 0.0568 2022/11/01 23:33:04 - mmengine - INFO - Epoch(train) [242][35/63] lr: 1.0000e-05 eta: 14:51:12 time: 0.8874 data_time: 0.0187 memory: 27783 loss: 0.2411 loss_text: 0.1669 loss_kernel: 0.0742 2022/11/01 23:33:08 - mmengine - INFO - Epoch(train) [242][40/63] lr: 1.0000e-05 eta: 14:50:26 time: 0.8789 data_time: 0.0179 memory: 27783 loss: 0.2419 loss_text: 0.1666 loss_kernel: 0.0753 2022/11/01 23:33:13 - mmengine - INFO - Epoch(train) [242][45/63] lr: 1.0000e-05 eta: 14:50:26 time: 0.8945 data_time: 0.0217 memory: 27783 loss: 0.1765 loss_text: 0.1205 loss_kernel: 0.0560 2022/11/01 23:33:17 - mmengine - INFO - Epoch(train) [242][50/63] lr: 1.0000e-05 eta: 14:49:41 time: 0.9099 data_time: 0.0314 memory: 27783 loss: 0.1940 loss_text: 0.1328 loss_kernel: 0.0612 2022/11/01 23:33:22 - mmengine - INFO - Epoch(train) [242][55/63] lr: 1.0000e-05 eta: 14:49:41 time: 0.8898 data_time: 0.0162 memory: 27783 loss: 0.2094 loss_text: 0.1430 loss_kernel: 0.0664 2022/11/01 23:33:26 - mmengine - INFO - Epoch(train) [242][60/63] lr: 1.0000e-05 eta: 14:48:55 time: 0.8752 data_time: 0.0132 memory: 27783 loss: 0.2133 loss_text: 0.1451 loss_kernel: 0.0682 2022/11/01 23:33:28 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:35:08 - mmengine - INFO - Epoch(train) [243][5/63] lr: 1.0000e-05 eta: 14:48:55 time: 10.3291 data_time: 9.5044 memory: 27783 loss: 0.2036 loss_text: 0.1404 loss_kernel: 0.0632 2022/11/01 23:35:12 - mmengine - INFO - Epoch(train) [243][10/63] lr: 1.0000e-05 eta: 14:50:13 time: 10.3970 data_time: 9.5150 memory: 27783 loss: 0.2071 loss_text: 0.1431 loss_kernel: 0.0640 2022/11/01 23:35:17 - mmengine - INFO - Epoch(train) [243][15/63] lr: 1.0000e-05 eta: 14:50:13 time: 0.9524 data_time: 0.0207 memory: 27783 loss: 0.2775 loss_text: 0.1922 loss_kernel: 0.0853 2022/11/01 23:35:22 - mmengine - INFO - Epoch(train) [243][20/63] lr: 1.0000e-05 eta: 14:49:29 time: 0.9927 data_time: 0.0242 memory: 27783 loss: 0.2667 loss_text: 0.1843 loss_kernel: 0.0824 2022/11/01 23:35:27 - mmengine - INFO - Epoch(train) [243][25/63] lr: 1.0000e-05 eta: 14:49:29 time: 0.9603 data_time: 0.0287 memory: 27783 loss: 0.1959 loss_text: 0.1351 loss_kernel: 0.0609 2022/11/01 23:35:32 - mmengine - INFO - Epoch(train) [243][30/63] lr: 1.0000e-05 eta: 14:48:44 time: 0.9426 data_time: 0.0167 memory: 27783 loss: 0.2296 loss_text: 0.1589 loss_kernel: 0.0708 2022/11/01 23:35:36 - mmengine - INFO - Epoch(train) [243][35/63] lr: 1.0000e-05 eta: 14:48:44 time: 0.9579 data_time: 0.0180 memory: 27783 loss: 0.2319 loss_text: 0.1595 loss_kernel: 0.0724 2022/11/01 23:35:41 - mmengine - INFO - Epoch(train) [243][40/63] lr: 1.0000e-05 eta: 14:47:59 time: 0.9312 data_time: 0.0286 memory: 27783 loss: 0.1936 loss_text: 0.1327 loss_kernel: 0.0609 2022/11/01 23:35:46 - mmengine - INFO - Epoch(train) [243][45/63] lr: 1.0000e-05 eta: 14:47:59 time: 0.9124 data_time: 0.0270 memory: 27783 loss: 0.1535 loss_text: 0.1044 loss_kernel: 0.0491 2022/11/01 23:35:50 - mmengine - INFO - Epoch(train) [243][50/63] lr: 1.0000e-05 eta: 14:47:14 time: 0.9292 data_time: 0.0143 memory: 27783 loss: 0.1423 loss_text: 0.0961 loss_kernel: 0.0462 2022/11/01 23:35:55 - mmengine - INFO - Epoch(train) [243][55/63] lr: 1.0000e-05 eta: 14:47:14 time: 0.9414 data_time: 0.0172 memory: 27783 loss: 0.1557 loss_text: 0.1052 loss_kernel: 0.0505 2022/11/01 23:36:00 - mmengine - INFO - Epoch(train) [243][60/63] lr: 1.0000e-05 eta: 14:46:30 time: 0.9850 data_time: 0.0200 memory: 27783 loss: 0.1879 loss_text: 0.1288 loss_kernel: 0.0590 2022/11/01 23:36:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:37:42 - mmengine - INFO - Epoch(train) [244][5/63] lr: 1.0000e-05 eta: 14:46:30 time: 10.3923 data_time: 9.4684 memory: 27783 loss: 0.1992 loss_text: 0.1369 loss_kernel: 0.0623 2022/11/01 23:37:47 - mmengine - INFO - Epoch(train) [244][10/63] lr: 1.0000e-05 eta: 14:47:47 time: 10.4104 data_time: 9.4736 memory: 27783 loss: 0.2254 loss_text: 0.1559 loss_kernel: 0.0695 2022/11/01 23:37:51 - mmengine - INFO - Epoch(train) [244][15/63] lr: 1.0000e-05 eta: 14:47:47 time: 0.9033 data_time: 0.0181 memory: 27783 loss: 0.2183 loss_text: 0.1510 loss_kernel: 0.0673 2022/11/01 23:37:56 - mmengine - INFO - Epoch(train) [244][20/63] lr: 1.0000e-05 eta: 14:47:02 time: 0.9193 data_time: 0.0191 memory: 27783 loss: 0.2110 loss_text: 0.1458 loss_kernel: 0.0653 2022/11/01 23:38:00 - mmengine - INFO - Epoch(train) [244][25/63] lr: 1.0000e-05 eta: 14:47:02 time: 0.9108 data_time: 0.0184 memory: 27783 loss: 0.2305 loss_text: 0.1586 loss_kernel: 0.0719 2022/11/01 23:38:05 - mmengine - INFO - Epoch(train) [244][30/63] lr: 1.0000e-05 eta: 14:46:17 time: 0.8839 data_time: 0.0172 memory: 27783 loss: 0.2272 loss_text: 0.1561 loss_kernel: 0.0712 2022/11/01 23:38:09 - mmengine - INFO - Epoch(train) [244][35/63] lr: 1.0000e-05 eta: 14:46:17 time: 0.8950 data_time: 0.0273 memory: 27783 loss: 0.2206 loss_text: 0.1508 loss_kernel: 0.0697 2022/11/01 23:38:14 - mmengine - INFO - Epoch(train) [244][40/63] lr: 1.0000e-05 eta: 14:45:33 time: 0.9733 data_time: 0.0175 memory: 27783 loss: 0.2164 loss_text: 0.1494 loss_kernel: 0.0670 2022/11/01 23:38:19 - mmengine - INFO - Epoch(train) [244][45/63] lr: 1.0000e-05 eta: 14:45:33 time: 0.9833 data_time: 0.0195 memory: 27783 loss: 0.1620 loss_text: 0.1120 loss_kernel: 0.0500 2022/11/01 23:38:24 - mmengine - INFO - Epoch(train) [244][50/63] lr: 1.0000e-05 eta: 14:44:48 time: 0.9482 data_time: 0.0294 memory: 27783 loss: 0.1699 loss_text: 0.1171 loss_kernel: 0.0528 2022/11/01 23:38:28 - mmengine - INFO - Epoch(train) [244][55/63] lr: 1.0000e-05 eta: 14:44:48 time: 0.9286 data_time: 0.0165 memory: 27783 loss: 0.1934 loss_text: 0.1344 loss_kernel: 0.0590 2022/11/01 23:38:33 - mmengine - INFO - Epoch(train) [244][60/63] lr: 1.0000e-05 eta: 14:44:03 time: 0.8893 data_time: 0.0127 memory: 27783 loss: 0.1913 loss_text: 0.1318 loss_kernel: 0.0595 2022/11/01 23:38:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:40:15 - mmengine - INFO - Epoch(train) [245][5/63] lr: 1.0000e-05 eta: 14:44:03 time: 10.4192 data_time: 9.5412 memory: 27783 loss: 0.1942 loss_text: 0.1330 loss_kernel: 0.0612 2022/11/01 23:40:20 - mmengine - INFO - Epoch(train) [245][10/63] lr: 1.0000e-05 eta: 14:45:20 time: 10.4472 data_time: 9.5446 memory: 27783 loss: 0.1674 loss_text: 0.1149 loss_kernel: 0.0525 2022/11/01 23:40:24 - mmengine - INFO - Epoch(train) [245][15/63] lr: 1.0000e-05 eta: 14:45:20 time: 0.8896 data_time: 0.0176 memory: 27783 loss: 0.2217 loss_text: 0.1529 loss_kernel: 0.0689 2022/11/01 23:40:29 - mmengine - INFO - Epoch(train) [245][20/63] lr: 1.0000e-05 eta: 14:44:35 time: 0.9299 data_time: 0.0262 memory: 27783 loss: 0.2186 loss_text: 0.1511 loss_kernel: 0.0675 2022/11/01 23:40:33 - mmengine - INFO - Epoch(train) [245][25/63] lr: 1.0000e-05 eta: 14:44:35 time: 0.9345 data_time: 0.0188 memory: 27783 loss: 0.1567 loss_text: 0.1080 loss_kernel: 0.0487 2022/11/01 23:40:38 - mmengine - INFO - Epoch(train) [245][30/63] lr: 1.0000e-05 eta: 14:43:51 time: 0.9348 data_time: 0.0212 memory: 27783 loss: 0.1897 loss_text: 0.1300 loss_kernel: 0.0597 2022/11/01 23:40:44 - mmengine - INFO - Epoch(train) [245][35/63] lr: 1.0000e-05 eta: 14:43:51 time: 1.0080 data_time: 0.0363 memory: 27783 loss: 0.2078 loss_text: 0.1423 loss_kernel: 0.0655 2022/11/01 23:40:48 - mmengine - INFO - Epoch(train) [245][40/63] lr: 1.0000e-05 eta: 14:43:07 time: 0.9875 data_time: 0.0224 memory: 27783 loss: 0.2398 loss_text: 0.1654 loss_kernel: 0.0744 2022/11/01 23:40:53 - mmengine - INFO - Epoch(train) [245][45/63] lr: 1.0000e-05 eta: 14:43:07 time: 0.9310 data_time: 0.0199 memory: 27783 loss: 0.2178 loss_text: 0.1494 loss_kernel: 0.0684 2022/11/01 23:40:57 - mmengine - INFO - Epoch(train) [245][50/63] lr: 1.0000e-05 eta: 14:42:22 time: 0.9265 data_time: 0.0203 memory: 27783 loss: 0.1675 loss_text: 0.1137 loss_kernel: 0.0538 2022/11/01 23:41:02 - mmengine - INFO - Epoch(train) [245][55/63] lr: 1.0000e-05 eta: 14:42:22 time: 0.9087 data_time: 0.0172 memory: 27783 loss: 0.1960 loss_text: 0.1349 loss_kernel: 0.0611 2022/11/01 23:41:07 - mmengine - INFO - Epoch(train) [245][60/63] lr: 1.0000e-05 eta: 14:41:38 time: 0.9128 data_time: 0.0247 memory: 27783 loss: 0.2004 loss_text: 0.1381 loss_kernel: 0.0623 2022/11/01 23:41:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:42:48 - mmengine - INFO - Epoch(train) [246][5/63] lr: 1.0000e-05 eta: 14:41:38 time: 10.3247 data_time: 9.4785 memory: 27783 loss: 0.1791 loss_text: 0.1223 loss_kernel: 0.0568 2022/11/01 23:42:52 - mmengine - INFO - Epoch(train) [246][10/63] lr: 1.0000e-05 eta: 14:42:52 time: 10.3601 data_time: 9.4747 memory: 27783 loss: 0.2016 loss_text: 0.1389 loss_kernel: 0.0627 2022/11/01 23:42:57 - mmengine - INFO - Epoch(train) [246][15/63] lr: 1.0000e-05 eta: 14:42:52 time: 0.9316 data_time: 0.0214 memory: 27783 loss: 0.1975 loss_text: 0.1365 loss_kernel: 0.0610 2022/11/01 23:43:02 - mmengine - INFO - Epoch(train) [246][20/63] lr: 1.0000e-05 eta: 14:42:08 time: 0.9467 data_time: 0.0292 memory: 27783 loss: 0.2032 loss_text: 0.1409 loss_kernel: 0.0622 2022/11/01 23:43:07 - mmengine - INFO - Epoch(train) [246][25/63] lr: 1.0000e-05 eta: 14:42:08 time: 0.9290 data_time: 0.0185 memory: 27783 loss: 0.2124 loss_text: 0.1469 loss_kernel: 0.0655 2022/11/01 23:43:11 - mmengine - INFO - Epoch(train) [246][30/63] lr: 1.0000e-05 eta: 14:41:24 time: 0.9382 data_time: 0.0162 memory: 27783 loss: 0.2190 loss_text: 0.1530 loss_kernel: 0.0660 2022/11/01 23:43:16 - mmengine - INFO - Epoch(train) [246][35/63] lr: 1.0000e-05 eta: 14:41:24 time: 0.9320 data_time: 0.0230 memory: 27783 loss: 0.2137 loss_text: 0.1490 loss_kernel: 0.0647 2022/11/01 23:43:20 - mmengine - INFO - Epoch(train) [246][40/63] lr: 1.0000e-05 eta: 14:40:39 time: 0.9138 data_time: 0.0163 memory: 27783 loss: 0.2086 loss_text: 0.1433 loss_kernel: 0.0653 2022/11/01 23:43:25 - mmengine - INFO - Epoch(train) [246][45/63] lr: 1.0000e-05 eta: 14:40:39 time: 0.9027 data_time: 0.0191 memory: 27783 loss: 0.1887 loss_text: 0.1291 loss_kernel: 0.0597 2022/11/01 23:43:30 - mmengine - INFO - Epoch(train) [246][50/63] lr: 1.0000e-05 eta: 14:39:55 time: 0.9189 data_time: 0.0242 memory: 27783 loss: 0.1814 loss_text: 0.1246 loss_kernel: 0.0568 2022/11/01 23:43:34 - mmengine - INFO - Epoch(train) [246][55/63] lr: 1.0000e-05 eta: 14:39:55 time: 0.9379 data_time: 0.0219 memory: 27783 loss: 0.2166 loss_text: 0.1496 loss_kernel: 0.0670 2022/11/01 23:43:39 - mmengine - INFO - Epoch(train) [246][60/63] lr: 1.0000e-05 eta: 14:39:10 time: 0.9244 data_time: 0.0206 memory: 27783 loss: 0.1863 loss_text: 0.1284 loss_kernel: 0.0579 2022/11/01 23:43:41 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:45:22 - mmengine - INFO - Epoch(train) [247][5/63] lr: 1.0000e-05 eta: 14:39:10 time: 10.4387 data_time: 9.5571 memory: 27783 loss: 0.2278 loss_text: 0.1575 loss_kernel: 0.0703 2022/11/01 23:45:26 - mmengine - INFO - Epoch(train) [247][10/63] lr: 1.0000e-05 eta: 14:40:26 time: 10.4847 data_time: 9.5594 memory: 27783 loss: 0.2098 loss_text: 0.1452 loss_kernel: 0.0646 2022/11/01 23:45:31 - mmengine - INFO - Epoch(train) [247][15/63] lr: 1.0000e-05 eta: 14:40:26 time: 0.9192 data_time: 0.0200 memory: 27783 loss: 0.2172 loss_text: 0.1496 loss_kernel: 0.0676 2022/11/01 23:45:35 - mmengine - INFO - Epoch(train) [247][20/63] lr: 1.0000e-05 eta: 14:39:41 time: 0.9248 data_time: 0.0251 memory: 27783 loss: 0.2250 loss_text: 0.1552 loss_kernel: 0.0698 2022/11/01 23:45:40 - mmengine - INFO - Epoch(train) [247][25/63] lr: 1.0000e-05 eta: 14:39:41 time: 0.9596 data_time: 0.0207 memory: 27783 loss: 0.2305 loss_text: 0.1602 loss_kernel: 0.0703 2022/11/01 23:45:45 - mmengine - INFO - Epoch(train) [247][30/63] lr: 1.0000e-05 eta: 14:38:58 time: 0.9549 data_time: 0.0189 memory: 27783 loss: 0.1953 loss_text: 0.1345 loss_kernel: 0.0609 2022/11/01 23:45:50 - mmengine - INFO - Epoch(train) [247][35/63] lr: 1.0000e-05 eta: 14:38:58 time: 0.9270 data_time: 0.0279 memory: 27783 loss: 0.1906 loss_text: 0.1297 loss_kernel: 0.0609 2022/11/01 23:45:54 - mmengine - INFO - Epoch(train) [247][40/63] lr: 1.0000e-05 eta: 14:38:13 time: 0.9179 data_time: 0.0181 memory: 27783 loss: 0.2154 loss_text: 0.1483 loss_kernel: 0.0670 2022/11/01 23:45:59 - mmengine - INFO - Epoch(train) [247][45/63] lr: 1.0000e-05 eta: 14:38:13 time: 0.9269 data_time: 0.0173 memory: 27783 loss: 0.1881 loss_text: 0.1299 loss_kernel: 0.0582 2022/11/01 23:46:04 - mmengine - INFO - Epoch(train) [247][50/63] lr: 1.0000e-05 eta: 14:37:29 time: 0.9325 data_time: 0.0209 memory: 27783 loss: 0.1946 loss_text: 0.1332 loss_kernel: 0.0614 2022/11/01 23:46:08 - mmengine - INFO - Epoch(train) [247][55/63] lr: 1.0000e-05 eta: 14:37:29 time: 0.9050 data_time: 0.0173 memory: 27783 loss: 0.2114 loss_text: 0.1445 loss_kernel: 0.0669 2022/11/01 23:46:13 - mmengine - INFO - Epoch(train) [247][60/63] lr: 1.0000e-05 eta: 14:36:44 time: 0.9029 data_time: 0.0201 memory: 27783 loss: 0.1991 loss_text: 0.1363 loss_kernel: 0.0628 2022/11/01 23:46:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:47:54 - mmengine - INFO - Epoch(train) [248][5/63] lr: 1.0000e-05 eta: 14:36:44 time: 10.3326 data_time: 9.4691 memory: 27783 loss: 0.1916 loss_text: 0.1312 loss_kernel: 0.0604 2022/11/01 23:47:59 - mmengine - INFO - Epoch(train) [248][10/63] lr: 1.0000e-05 eta: 14:37:57 time: 10.3547 data_time: 9.4746 memory: 27783 loss: 0.1791 loss_text: 0.1222 loss_kernel: 0.0570 2022/11/01 23:48:04 - mmengine - INFO - Epoch(train) [248][15/63] lr: 1.0000e-05 eta: 14:37:57 time: 0.9639 data_time: 0.0204 memory: 27783 loss: 0.2330 loss_text: 0.1596 loss_kernel: 0.0734 2022/11/01 23:48:08 - mmengine - INFO - Epoch(train) [248][20/63] lr: 1.0000e-05 eta: 14:37:14 time: 0.9646 data_time: 0.0201 memory: 27783 loss: 0.2564 loss_text: 0.1762 loss_kernel: 0.0802 2022/11/01 23:48:13 - mmengine - INFO - Epoch(train) [248][25/63] lr: 1.0000e-05 eta: 14:37:14 time: 0.9121 data_time: 0.0182 memory: 27783 loss: 0.2141 loss_text: 0.1470 loss_kernel: 0.0672 2022/11/01 23:48:17 - mmengine - INFO - Epoch(train) [248][30/63] lr: 1.0000e-05 eta: 14:36:29 time: 0.9044 data_time: 0.0182 memory: 27783 loss: 0.2219 loss_text: 0.1521 loss_kernel: 0.0698 2022/11/01 23:48:22 - mmengine - INFO - Epoch(train) [248][35/63] lr: 1.0000e-05 eta: 14:36:29 time: 0.9018 data_time: 0.0197 memory: 27783 loss: 0.2048 loss_text: 0.1406 loss_kernel: 0.0642 2022/11/01 23:48:27 - mmengine - INFO - Epoch(train) [248][40/63] lr: 1.0000e-05 eta: 14:35:45 time: 0.9084 data_time: 0.0165 memory: 27783 loss: 0.1858 loss_text: 0.1275 loss_kernel: 0.0583 2022/11/01 23:48:31 - mmengine - INFO - Epoch(train) [248][45/63] lr: 1.0000e-05 eta: 14:35:45 time: 0.9363 data_time: 0.0241 memory: 27783 loss: 0.2137 loss_text: 0.1474 loss_kernel: 0.0662 2022/11/01 23:48:36 - mmengine - INFO - Epoch(train) [248][50/63] lr: 1.0000e-05 eta: 14:35:01 time: 0.9290 data_time: 0.0230 memory: 27783 loss: 0.2153 loss_text: 0.1493 loss_kernel: 0.0660 2022/11/01 23:48:41 - mmengine - INFO - Epoch(train) [248][55/63] lr: 1.0000e-05 eta: 14:35:01 time: 0.9502 data_time: 0.0173 memory: 27783 loss: 0.1956 loss_text: 0.1348 loss_kernel: 0.0608 2022/11/01 23:48:45 - mmengine - INFO - Epoch(train) [248][60/63] lr: 1.0000e-05 eta: 14:34:17 time: 0.9581 data_time: 0.0191 memory: 27783 loss: 0.2251 loss_text: 0.1557 loss_kernel: 0.0694 2022/11/01 23:48:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:50:28 - mmengine - INFO - Epoch(train) [249][5/63] lr: 1.0000e-05 eta: 14:34:17 time: 10.4523 data_time: 9.5786 memory: 27783 loss: 0.2146 loss_text: 0.1469 loss_kernel: 0.0678 2022/11/01 23:50:33 - mmengine - INFO - Epoch(train) [249][10/63] lr: 1.0000e-05 eta: 14:35:32 time: 10.5223 data_time: 9.5836 memory: 27783 loss: 0.1591 loss_text: 0.1087 loss_kernel: 0.0504 2022/11/01 23:50:37 - mmengine - INFO - Epoch(train) [249][15/63] lr: 1.0000e-05 eta: 14:35:32 time: 0.9158 data_time: 0.0169 memory: 27783 loss: 0.1979 loss_text: 0.1363 loss_kernel: 0.0615 2022/11/01 23:50:42 - mmengine - INFO - Epoch(train) [249][20/63] lr: 1.0000e-05 eta: 14:34:47 time: 0.8911 data_time: 0.0193 memory: 27783 loss: 0.2116 loss_text: 0.1466 loss_kernel: 0.0649 2022/11/01 23:50:47 - mmengine - INFO - Epoch(train) [249][25/63] lr: 1.0000e-05 eta: 14:34:47 time: 0.9061 data_time: 0.0250 memory: 27783 loss: 0.2025 loss_text: 0.1393 loss_kernel: 0.0632 2022/11/01 23:50:51 - mmengine - INFO - Epoch(train) [249][30/63] lr: 1.0000e-05 eta: 14:34:03 time: 0.9280 data_time: 0.0205 memory: 27783 loss: 0.2107 loss_text: 0.1438 loss_kernel: 0.0670 2022/11/01 23:50:56 - mmengine - INFO - Epoch(train) [249][35/63] lr: 1.0000e-05 eta: 14:34:03 time: 0.9487 data_time: 0.0258 memory: 27783 loss: 0.2065 loss_text: 0.1419 loss_kernel: 0.0645 2022/11/01 23:51:01 - mmengine - INFO - Epoch(train) [249][40/63] lr: 1.0000e-05 eta: 14:33:19 time: 0.9588 data_time: 0.0209 memory: 27783 loss: 0.2181 loss_text: 0.1504 loss_kernel: 0.0677 2022/11/01 23:51:06 - mmengine - INFO - Epoch(train) [249][45/63] lr: 1.0000e-05 eta: 14:33:19 time: 0.9534 data_time: 0.0184 memory: 27783 loss: 0.1986 loss_text: 0.1373 loss_kernel: 0.0613 2022/11/01 23:51:10 - mmengine - INFO - Epoch(train) [249][50/63] lr: 1.0000e-05 eta: 14:32:35 time: 0.9142 data_time: 0.0248 memory: 27783 loss: 0.1852 loss_text: 0.1272 loss_kernel: 0.0580 2022/11/01 23:51:14 - mmengine - INFO - Epoch(train) [249][55/63] lr: 1.0000e-05 eta: 14:32:35 time: 0.8879 data_time: 0.0175 memory: 27783 loss: 0.1965 loss_text: 0.1337 loss_kernel: 0.0628 2022/11/01 23:51:19 - mmengine - INFO - Epoch(train) [249][60/63] lr: 1.0000e-05 eta: 14:31:51 time: 0.8971 data_time: 0.0178 memory: 27783 loss: 0.2433 loss_text: 0.1670 loss_kernel: 0.0764 2022/11/01 23:51:21 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:53:01 - mmengine - INFO - Epoch(train) [250][5/63] lr: 1.0000e-05 eta: 14:31:51 time: 10.3410 data_time: 9.4828 memory: 27783 loss: 0.2189 loss_text: 0.1501 loss_kernel: 0.0688 2022/11/01 23:53:05 - mmengine - INFO - Epoch(train) [250][10/63] lr: 1.0000e-05 eta: 14:33:03 time: 10.3771 data_time: 9.4856 memory: 27783 loss: 0.2147 loss_text: 0.1471 loss_kernel: 0.0676 2022/11/01 23:53:10 - mmengine - INFO - Epoch(train) [250][15/63] lr: 1.0000e-05 eta: 14:33:03 time: 0.9090 data_time: 0.0172 memory: 27783 loss: 0.2421 loss_text: 0.1663 loss_kernel: 0.0757 2022/11/01 23:53:14 - mmengine - INFO - Epoch(train) [250][20/63] lr: 1.0000e-05 eta: 14:32:19 time: 0.9143 data_time: 0.0209 memory: 27783 loss: 0.2199 loss_text: 0.1509 loss_kernel: 0.0690 2022/11/01 23:53:20 - mmengine - INFO - Epoch(train) [250][25/63] lr: 1.0000e-05 eta: 14:32:19 time: 1.0473 data_time: 0.0193 memory: 27783 loss: 0.1477 loss_text: 0.1016 loss_kernel: 0.0461 2022/11/01 23:53:25 - mmengine - INFO - Epoch(train) [250][30/63] lr: 1.0000e-05 eta: 14:31:37 time: 1.0528 data_time: 0.0219 memory: 27783 loss: 0.1974 loss_text: 0.1372 loss_kernel: 0.0602 2022/11/01 23:53:30 - mmengine - INFO - Epoch(train) [250][35/63] lr: 1.0000e-05 eta: 14:31:37 time: 0.9418 data_time: 0.0216 memory: 27783 loss: 0.2138 loss_text: 0.1472 loss_kernel: 0.0666 2022/11/01 23:53:34 - mmengine - INFO - Epoch(train) [250][40/63] lr: 1.0000e-05 eta: 14:30:53 time: 0.9458 data_time: 0.0184 memory: 27783 loss: 0.1702 loss_text: 0.1165 loss_kernel: 0.0537 2022/11/01 23:53:39 - mmengine - INFO - Epoch(train) [250][45/63] lr: 1.0000e-05 eta: 14:30:53 time: 0.9212 data_time: 0.0231 memory: 27783 loss: 0.1968 loss_text: 0.1352 loss_kernel: 0.0615 2022/11/01 23:53:43 - mmengine - INFO - Epoch(train) [250][50/63] lr: 1.0000e-05 eta: 14:30:09 time: 0.9100 data_time: 0.0199 memory: 27783 loss: 0.2172 loss_text: 0.1499 loss_kernel: 0.0674 2022/11/01 23:53:48 - mmengine - INFO - Epoch(train) [250][55/63] lr: 1.0000e-05 eta: 14:30:09 time: 0.8867 data_time: 0.0163 memory: 27783 loss: 0.1980 loss_text: 0.1368 loss_kernel: 0.0613 2022/11/01 23:53:52 - mmengine - INFO - Epoch(train) [250][60/63] lr: 1.0000e-05 eta: 14:29:24 time: 0.8811 data_time: 0.0160 memory: 27783 loss: 0.1767 loss_text: 0.1211 loss_kernel: 0.0556 2022/11/01 23:53:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:55:35 - mmengine - INFO - Epoch(train) [251][5/63] lr: 1.0000e-05 eta: 14:29:24 time: 10.4572 data_time: 9.5957 memory: 27783 loss: 0.1969 loss_text: 0.1346 loss_kernel: 0.0623 2022/11/01 23:55:40 - mmengine - INFO - Epoch(train) [251][10/63] lr: 1.0000e-05 eta: 14:30:38 time: 10.5384 data_time: 9.6200 memory: 27783 loss: 0.2002 loss_text: 0.1373 loss_kernel: 0.0629 2022/11/01 23:55:45 - mmengine - INFO - Epoch(train) [251][15/63] lr: 1.0000e-05 eta: 14:30:38 time: 0.9772 data_time: 0.0344 memory: 27783 loss: 0.2143 loss_text: 0.1467 loss_kernel: 0.0676 2022/11/01 23:55:50 - mmengine - INFO - Epoch(train) [251][20/63] lr: 1.0000e-05 eta: 14:29:55 time: 0.9670 data_time: 0.0227 memory: 27783 loss: 0.1816 loss_text: 0.1245 loss_kernel: 0.0571 2022/11/01 23:55:54 - mmengine - INFO - Epoch(train) [251][25/63] lr: 1.0000e-05 eta: 14:29:55 time: 0.9373 data_time: 0.0279 memory: 27783 loss: 0.1878 loss_text: 0.1296 loss_kernel: 0.0582 2022/11/01 23:55:59 - mmengine - INFO - Epoch(train) [251][30/63] lr: 1.0000e-05 eta: 14:29:11 time: 0.9093 data_time: 0.0176 memory: 27783 loss: 0.1990 loss_text: 0.1365 loss_kernel: 0.0625 2022/11/01 23:56:03 - mmengine - INFO - Epoch(train) [251][35/63] lr: 1.0000e-05 eta: 14:29:11 time: 0.9166 data_time: 0.0259 memory: 27783 loss: 0.1550 loss_text: 0.1051 loss_kernel: 0.0499 2022/11/01 23:56:08 - mmengine - INFO - Epoch(train) [251][40/63] lr: 1.0000e-05 eta: 14:28:27 time: 0.9099 data_time: 0.0197 memory: 27783 loss: 0.1681 loss_text: 0.1147 loss_kernel: 0.0533 2022/11/01 23:56:13 - mmengine - INFO - Epoch(train) [251][45/63] lr: 1.0000e-05 eta: 14:28:27 time: 0.9202 data_time: 0.0200 memory: 27783 loss: 0.2317 loss_text: 0.1594 loss_kernel: 0.0724 2022/11/01 23:56:18 - mmengine - INFO - Epoch(train) [251][50/63] lr: 1.0000e-05 eta: 14:27:44 time: 0.9711 data_time: 0.0362 memory: 27783 loss: 0.1986 loss_text: 0.1353 loss_kernel: 0.0632 2022/11/01 23:56:22 - mmengine - INFO - Epoch(train) [251][55/63] lr: 1.0000e-05 eta: 14:27:44 time: 0.9629 data_time: 0.0224 memory: 27783 loss: 0.1327 loss_text: 0.0889 loss_kernel: 0.0438 2022/11/01 23:56:27 - mmengine - INFO - Epoch(train) [251][60/63] lr: 1.0000e-05 eta: 14:27:00 time: 0.9185 data_time: 0.0144 memory: 27783 loss: 0.1751 loss_text: 0.1195 loss_kernel: 0.0556 2022/11/01 23:56:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/01 23:58:09 - mmengine - INFO - Epoch(train) [252][5/63] lr: 1.0000e-05 eta: 14:27:00 time: 10.3249 data_time: 9.4645 memory: 27783 loss: 0.2011 loss_text: 0.1379 loss_kernel: 0.0632 2022/11/01 23:58:14 - mmengine - INFO - Epoch(train) [252][10/63] lr: 1.0000e-05 eta: 14:28:11 time: 10.4373 data_time: 9.4827 memory: 27783 loss: 0.1744 loss_text: 0.1179 loss_kernel: 0.0564 2022/11/01 23:58:18 - mmengine - INFO - Epoch(train) [252][15/63] lr: 1.0000e-05 eta: 14:28:11 time: 0.9762 data_time: 0.0245 memory: 27783 loss: 0.1793 loss_text: 0.1222 loss_kernel: 0.0571 2022/11/01 23:58:23 - mmengine - INFO - Epoch(train) [252][20/63] lr: 1.0000e-05 eta: 14:27:27 time: 0.9248 data_time: 0.0182 memory: 27783 loss: 0.1848 loss_text: 0.1271 loss_kernel: 0.0577 2022/11/01 23:58:27 - mmengine - INFO - Epoch(train) [252][25/63] lr: 1.0000e-05 eta: 14:27:27 time: 0.9197 data_time: 0.0200 memory: 27783 loss: 0.2053 loss_text: 0.1407 loss_kernel: 0.0646 2022/11/01 23:58:32 - mmengine - INFO - Epoch(train) [252][30/63] lr: 1.0000e-05 eta: 14:26:44 time: 0.9309 data_time: 0.0188 memory: 27783 loss: 0.2131 loss_text: 0.1455 loss_kernel: 0.0676 2022/11/01 23:58:37 - mmengine - INFO - Epoch(train) [252][35/63] lr: 1.0000e-05 eta: 14:26:44 time: 0.9836 data_time: 0.0483 memory: 27783 loss: 0.2175 loss_text: 0.1491 loss_kernel: 0.0684 2022/11/01 23:58:42 - mmengine - INFO - Epoch(train) [252][40/63] lr: 1.0000e-05 eta: 14:26:01 time: 0.9710 data_time: 0.0376 memory: 27783 loss: 0.2171 loss_text: 0.1509 loss_kernel: 0.0662 2022/11/01 23:58:46 - mmengine - INFO - Epoch(train) [252][45/63] lr: 1.0000e-05 eta: 14:26:01 time: 0.9143 data_time: 0.0178 memory: 27783 loss: 0.2025 loss_text: 0.1404 loss_kernel: 0.0621 2022/11/01 23:58:51 - mmengine - INFO - Epoch(train) [252][50/63] lr: 1.0000e-05 eta: 14:25:17 time: 0.9387 data_time: 0.0280 memory: 27783 loss: 0.1898 loss_text: 0.1290 loss_kernel: 0.0608 2022/11/01 23:58:56 - mmengine - INFO - Epoch(train) [252][55/63] lr: 1.0000e-05 eta: 14:25:17 time: 0.9344 data_time: 0.0163 memory: 27783 loss: 0.2010 loss_text: 0.1368 loss_kernel: 0.0641 2022/11/01 23:59:00 - mmengine - INFO - Epoch(train) [252][60/63] lr: 1.0000e-05 eta: 14:24:34 time: 0.9083 data_time: 0.0143 memory: 27783 loss: 0.2070 loss_text: 0.1416 loss_kernel: 0.0653 2022/11/01 23:59:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:00:44 - mmengine - INFO - Epoch(train) [253][5/63] lr: 1.0000e-05 eta: 14:24:34 time: 10.4735 data_time: 9.6037 memory: 27783 loss: 0.2196 loss_text: 0.1505 loss_kernel: 0.0691 2022/11/02 00:00:48 - mmengine - INFO - Epoch(train) [253][10/63] lr: 1.0000e-05 eta: 14:25:46 time: 10.5563 data_time: 9.6215 memory: 27783 loss: 0.2116 loss_text: 0.1456 loss_kernel: 0.0660 2022/11/02 00:00:53 - mmengine - INFO - Epoch(train) [253][15/63] lr: 1.0000e-05 eta: 14:25:46 time: 0.9548 data_time: 0.0245 memory: 27783 loss: 0.2039 loss_text: 0.1394 loss_kernel: 0.0646 2022/11/02 00:00:58 - mmengine - INFO - Epoch(train) [253][20/63] lr: 1.0000e-05 eta: 14:25:03 time: 0.9428 data_time: 0.0184 memory: 27783 loss: 0.1610 loss_text: 0.1090 loss_kernel: 0.0521 2022/11/02 00:01:02 - mmengine - INFO - Epoch(train) [253][25/63] lr: 1.0000e-05 eta: 14:25:03 time: 0.9206 data_time: 0.0278 memory: 27783 loss: 0.1762 loss_text: 0.1209 loss_kernel: 0.0554 2022/11/02 00:01:07 - mmengine - INFO - Epoch(train) [253][30/63] lr: 1.0000e-05 eta: 14:24:19 time: 0.8973 data_time: 0.0188 memory: 27783 loss: 0.2140 loss_text: 0.1477 loss_kernel: 0.0663 2022/11/02 00:01:11 - mmengine - INFO - Epoch(train) [253][35/63] lr: 1.0000e-05 eta: 14:24:19 time: 0.8920 data_time: 0.0202 memory: 27783 loss: 0.2212 loss_text: 0.1523 loss_kernel: 0.0690 2022/11/02 00:01:16 - mmengine - INFO - Epoch(train) [253][40/63] lr: 1.0000e-05 eta: 14:23:35 time: 0.9055 data_time: 0.0192 memory: 27783 loss: 0.2307 loss_text: 0.1591 loss_kernel: 0.0717 2022/11/02 00:01:21 - mmengine - INFO - Epoch(train) [253][45/63] lr: 1.0000e-05 eta: 14:23:35 time: 0.9935 data_time: 0.0297 memory: 27783 loss: 0.2339 loss_text: 0.1622 loss_kernel: 0.0717 2022/11/02 00:01:26 - mmengine - INFO - Epoch(train) [253][50/63] lr: 1.0000e-05 eta: 14:22:52 time: 0.9931 data_time: 0.0393 memory: 27783 loss: 0.2126 loss_text: 0.1466 loss_kernel: 0.0660 2022/11/02 00:01:30 - mmengine - INFO - Epoch(train) [253][55/63] lr: 1.0000e-05 eta: 14:22:52 time: 0.9105 data_time: 0.0194 memory: 27783 loss: 0.1831 loss_text: 0.1242 loss_kernel: 0.0588 2022/11/02 00:01:35 - mmengine - INFO - Epoch(train) [253][60/63] lr: 1.0000e-05 eta: 14:22:09 time: 0.9099 data_time: 0.0177 memory: 27783 loss: 0.2011 loss_text: 0.1367 loss_kernel: 0.0644 2022/11/02 00:01:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:03:16 - mmengine - INFO - Epoch(train) [254][5/63] lr: 1.0000e-05 eta: 14:22:09 time: 10.3083 data_time: 9.4689 memory: 27783 loss: 0.2125 loss_text: 0.1443 loss_kernel: 0.0683 2022/11/02 00:03:21 - mmengine - INFO - Epoch(train) [254][10/63] lr: 1.0000e-05 eta: 14:23:18 time: 10.3702 data_time: 9.4831 memory: 27783 loss: 0.2198 loss_text: 0.1498 loss_kernel: 0.0700 2022/11/02 00:03:26 - mmengine - INFO - Epoch(train) [254][15/63] lr: 1.0000e-05 eta: 14:23:18 time: 0.9336 data_time: 0.0217 memory: 27783 loss: 0.2144 loss_text: 0.1482 loss_kernel: 0.0662 2022/11/02 00:03:31 - mmengine - INFO - Epoch(train) [254][20/63] lr: 1.0000e-05 eta: 14:22:35 time: 0.9740 data_time: 0.0183 memory: 27783 loss: 0.1840 loss_text: 0.1262 loss_kernel: 0.0577 2022/11/02 00:03:35 - mmengine - INFO - Epoch(train) [254][25/63] lr: 1.0000e-05 eta: 14:22:35 time: 0.9631 data_time: 0.0316 memory: 27783 loss: 0.1950 loss_text: 0.1332 loss_kernel: 0.0618 2022/11/02 00:03:40 - mmengine - INFO - Epoch(train) [254][30/63] lr: 1.0000e-05 eta: 14:21:52 time: 0.9393 data_time: 0.0230 memory: 27783 loss: 0.2538 loss_text: 0.1749 loss_kernel: 0.0789 2022/11/02 00:03:45 - mmengine - INFO - Epoch(train) [254][35/63] lr: 1.0000e-05 eta: 14:21:52 time: 0.9457 data_time: 0.0186 memory: 27783 loss: 0.2595 loss_text: 0.1790 loss_kernel: 0.0805 2022/11/02 00:03:49 - mmengine - INFO - Epoch(train) [254][40/63] lr: 1.0000e-05 eta: 14:21:08 time: 0.9163 data_time: 0.0205 memory: 27783 loss: 0.2280 loss_text: 0.1568 loss_kernel: 0.0712 2022/11/02 00:03:54 - mmengine - INFO - Epoch(train) [254][45/63] lr: 1.0000e-05 eta: 14:21:08 time: 0.9110 data_time: 0.0181 memory: 27783 loss: 0.2212 loss_text: 0.1533 loss_kernel: 0.0679 2022/11/02 00:03:58 - mmengine - INFO - Epoch(train) [254][50/63] lr: 1.0000e-05 eta: 14:20:25 time: 0.9083 data_time: 0.0253 memory: 27783 loss: 0.2164 loss_text: 0.1500 loss_kernel: 0.0664 2022/11/02 00:04:03 - mmengine - INFO - Epoch(train) [254][55/63] lr: 1.0000e-05 eta: 14:20:25 time: 0.8922 data_time: 0.0184 memory: 27783 loss: 0.1742 loss_text: 0.1190 loss_kernel: 0.0552 2022/11/02 00:04:08 - mmengine - INFO - Epoch(train) [254][60/63] lr: 1.0000e-05 eta: 14:19:41 time: 0.9197 data_time: 0.0145 memory: 27783 loss: 0.1522 loss_text: 0.1036 loss_kernel: 0.0486 2022/11/02 00:04:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:04:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:05:50 - mmengine - INFO - Epoch(train) [255][5/63] lr: 1.0000e-05 eta: 14:19:41 time: 10.4164 data_time: 9.5568 memory: 27783 loss: 0.1876 loss_text: 0.1283 loss_kernel: 0.0593 2022/11/02 00:05:55 - mmengine - INFO - Epoch(train) [255][10/63] lr: 1.0000e-05 eta: 14:20:52 time: 10.5375 data_time: 9.5714 memory: 27783 loss: 0.2001 loss_text: 0.1377 loss_kernel: 0.0624 2022/11/02 00:06:00 - mmengine - INFO - Epoch(train) [255][15/63] lr: 1.0000e-05 eta: 14:20:52 time: 1.0227 data_time: 0.0225 memory: 27783 loss: 0.2016 loss_text: 0.1398 loss_kernel: 0.0618 2022/11/02 00:06:05 - mmengine - INFO - Epoch(train) [255][20/63] lr: 1.0000e-05 eta: 14:20:09 time: 0.9554 data_time: 0.0179 memory: 27783 loss: 0.1790 loss_text: 0.1220 loss_kernel: 0.0570 2022/11/02 00:06:09 - mmengine - INFO - Epoch(train) [255][25/63] lr: 1.0000e-05 eta: 14:20:09 time: 0.9205 data_time: 0.0265 memory: 27783 loss: 0.1846 loss_text: 0.1255 loss_kernel: 0.0592 2022/11/02 00:06:14 - mmengine - INFO - Epoch(train) [255][30/63] lr: 1.0000e-05 eta: 14:19:25 time: 0.9030 data_time: 0.0174 memory: 27783 loss: 0.1983 loss_text: 0.1353 loss_kernel: 0.0630 2022/11/02 00:06:18 - mmengine - INFO - Epoch(train) [255][35/63] lr: 1.0000e-05 eta: 14:19:25 time: 0.9022 data_time: 0.0184 memory: 27783 loss: 0.2119 loss_text: 0.1449 loss_kernel: 0.0670 2022/11/02 00:06:23 - mmengine - INFO - Epoch(train) [255][40/63] lr: 1.0000e-05 eta: 14:18:42 time: 0.8995 data_time: 0.0174 memory: 27783 loss: 0.2212 loss_text: 0.1516 loss_kernel: 0.0696 2022/11/02 00:06:27 - mmengine - INFO - Epoch(train) [255][45/63] lr: 1.0000e-05 eta: 14:18:42 time: 0.9002 data_time: 0.0164 memory: 27783 loss: 0.2163 loss_text: 0.1478 loss_kernel: 0.0685 2022/11/02 00:06:32 - mmengine - INFO - Epoch(train) [255][50/63] lr: 1.0000e-05 eta: 14:17:59 time: 0.9338 data_time: 0.0292 memory: 27783 loss: 0.2017 loss_text: 0.1386 loss_kernel: 0.0631 2022/11/02 00:06:37 - mmengine - INFO - Epoch(train) [255][55/63] lr: 1.0000e-05 eta: 14:17:59 time: 1.0000 data_time: 0.0205 memory: 27783 loss: 0.2157 loss_text: 0.1495 loss_kernel: 0.0662 2022/11/02 00:06:42 - mmengine - INFO - Epoch(train) [255][60/63] lr: 1.0000e-05 eta: 14:17:16 time: 0.9916 data_time: 0.0200 memory: 27783 loss: 0.2483 loss_text: 0.1721 loss_kernel: 0.0762 2022/11/02 00:06:44 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:08:25 - mmengine - INFO - Epoch(train) [256][5/63] lr: 1.0000e-05 eta: 14:17:16 time: 10.4330 data_time: 9.4911 memory: 27783 loss: 0.1808 loss_text: 0.1234 loss_kernel: 0.0574 2022/11/02 00:08:29 - mmengine - INFO - Epoch(train) [256][10/63] lr: 1.0000e-05 eta: 14:18:26 time: 10.4993 data_time: 9.5073 memory: 27783 loss: 0.2022 loss_text: 0.1383 loss_kernel: 0.0639 2022/11/02 00:08:34 - mmengine - INFO - Epoch(train) [256][15/63] lr: 1.0000e-05 eta: 14:18:26 time: 0.9452 data_time: 0.0229 memory: 27783 loss: 0.1860 loss_text: 0.1266 loss_kernel: 0.0593 2022/11/02 00:08:39 - mmengine - INFO - Epoch(train) [256][20/63] lr: 1.0000e-05 eta: 14:17:43 time: 0.9179 data_time: 0.0178 memory: 27783 loss: 0.1815 loss_text: 0.1235 loss_kernel: 0.0581 2022/11/02 00:08:43 - mmengine - INFO - Epoch(train) [256][25/63] lr: 1.0000e-05 eta: 14:17:43 time: 0.9045 data_time: 0.0253 memory: 27783 loss: 0.1845 loss_text: 0.1251 loss_kernel: 0.0594 2022/11/02 00:08:48 - mmengine - INFO - Epoch(train) [256][30/63] lr: 1.0000e-05 eta: 14:16:59 time: 0.9110 data_time: 0.0167 memory: 27783 loss: 0.1826 loss_text: 0.1246 loss_kernel: 0.0580 2022/11/02 00:08:52 - mmengine - INFO - Epoch(train) [256][35/63] lr: 1.0000e-05 eta: 14:16:59 time: 0.9103 data_time: 0.0193 memory: 27783 loss: 0.1577 loss_text: 0.1078 loss_kernel: 0.0498 2022/11/02 00:08:57 - mmengine - INFO - Epoch(train) [256][40/63] lr: 1.0000e-05 eta: 14:16:16 time: 0.9288 data_time: 0.0186 memory: 27783 loss: 0.1931 loss_text: 0.1325 loss_kernel: 0.0606 2022/11/02 00:09:02 - mmengine - INFO - Epoch(train) [256][45/63] lr: 1.0000e-05 eta: 14:16:16 time: 0.9759 data_time: 0.0175 memory: 27783 loss: 0.2568 loss_text: 0.1772 loss_kernel: 0.0795 2022/11/02 00:09:06 - mmengine - INFO - Epoch(train) [256][50/63] lr: 1.0000e-05 eta: 14:15:33 time: 0.9361 data_time: 0.0244 memory: 27783 loss: 0.2912 loss_text: 0.2012 loss_kernel: 0.0900 2022/11/02 00:09:11 - mmengine - INFO - Epoch(train) [256][55/63] lr: 1.0000e-05 eta: 14:15:33 time: 0.8775 data_time: 0.0156 memory: 27783 loss: 0.2510 loss_text: 0.1723 loss_kernel: 0.0787 2022/11/02 00:09:15 - mmengine - INFO - Epoch(train) [256][60/63] lr: 1.0000e-05 eta: 14:14:50 time: 0.8898 data_time: 0.0162 memory: 27783 loss: 0.2091 loss_text: 0.1445 loss_kernel: 0.0646 2022/11/02 00:09:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:10:58 - mmengine - INFO - Epoch(train) [257][5/63] lr: 1.0000e-05 eta: 14:14:50 time: 10.4362 data_time: 9.5767 memory: 27783 loss: 0.1754 loss_text: 0.1197 loss_kernel: 0.0557 2022/11/02 00:11:03 - mmengine - INFO - Epoch(train) [257][10/63] lr: 1.0000e-05 eta: 14:15:58 time: 10.4805 data_time: 9.5882 memory: 27783 loss: 0.1778 loss_text: 0.1216 loss_kernel: 0.0562 2022/11/02 00:11:07 - mmengine - INFO - Epoch(train) [257][15/63] lr: 1.0000e-05 eta: 14:15:58 time: 0.9283 data_time: 0.0243 memory: 27783 loss: 0.1990 loss_text: 0.1358 loss_kernel: 0.0632 2022/11/02 00:11:12 - mmengine - INFO - Epoch(train) [257][20/63] lr: 1.0000e-05 eta: 14:15:15 time: 0.9342 data_time: 0.0240 memory: 27783 loss: 0.1930 loss_text: 0.1334 loss_kernel: 0.0595 2022/11/02 00:11:16 - mmengine - INFO - Epoch(train) [257][25/63] lr: 1.0000e-05 eta: 14:15:15 time: 0.9152 data_time: 0.0258 memory: 27783 loss: 0.1676 loss_text: 0.1158 loss_kernel: 0.0518 2022/11/02 00:11:21 - mmengine - INFO - Epoch(train) [257][30/63] lr: 1.0000e-05 eta: 14:14:32 time: 0.9008 data_time: 0.0159 memory: 27783 loss: 0.1757 loss_text: 0.1201 loss_kernel: 0.0556 2022/11/02 00:11:26 - mmengine - INFO - Epoch(train) [257][35/63] lr: 1.0000e-05 eta: 14:14:32 time: 0.9147 data_time: 0.0162 memory: 27783 loss: 0.2116 loss_text: 0.1449 loss_kernel: 0.0667 2022/11/02 00:11:30 - mmengine - INFO - Epoch(train) [257][40/63] lr: 1.0000e-05 eta: 14:13:49 time: 0.9259 data_time: 0.0172 memory: 27783 loss: 0.2139 loss_text: 0.1474 loss_kernel: 0.0666 2022/11/02 00:11:35 - mmengine - INFO - Epoch(train) [257][45/63] lr: 1.0000e-05 eta: 14:13:49 time: 0.9251 data_time: 0.0193 memory: 27783 loss: 0.1845 loss_text: 0.1269 loss_kernel: 0.0575 2022/11/02 00:11:39 - mmengine - INFO - Epoch(train) [257][50/63] lr: 1.0000e-05 eta: 14:13:06 time: 0.9257 data_time: 0.0251 memory: 27783 loss: 0.1933 loss_text: 0.1331 loss_kernel: 0.0602 2022/11/02 00:11:44 - mmengine - INFO - Epoch(train) [257][55/63] lr: 1.0000e-05 eta: 14:13:06 time: 0.9280 data_time: 0.0176 memory: 27783 loss: 0.1876 loss_text: 0.1302 loss_kernel: 0.0575 2022/11/02 00:11:49 - mmengine - INFO - Epoch(train) [257][60/63] lr: 1.0000e-05 eta: 14:12:23 time: 0.9455 data_time: 0.0201 memory: 27783 loss: 0.1784 loss_text: 0.1234 loss_kernel: 0.0550 2022/11/02 00:11:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:13:30 - mmengine - INFO - Epoch(train) [258][5/63] lr: 1.0000e-05 eta: 14:12:23 time: 10.3178 data_time: 9.4708 memory: 27783 loss: 0.1770 loss_text: 0.1204 loss_kernel: 0.0565 2022/11/02 00:13:35 - mmengine - INFO - Epoch(train) [258][10/63] lr: 1.0000e-05 eta: 14:13:30 time: 10.3600 data_time: 9.4740 memory: 27783 loss: 0.2103 loss_text: 0.1444 loss_kernel: 0.0659 2022/11/02 00:13:39 - mmengine - INFO - Epoch(train) [258][15/63] lr: 1.0000e-05 eta: 14:13:30 time: 0.8787 data_time: 0.0153 memory: 27783 loss: 0.2321 loss_text: 0.1601 loss_kernel: 0.0721 2022/11/02 00:13:44 - mmengine - INFO - Epoch(train) [258][20/63] lr: 1.0000e-05 eta: 14:12:47 time: 0.9102 data_time: 0.0193 memory: 27783 loss: 0.2131 loss_text: 0.1464 loss_kernel: 0.0667 2022/11/02 00:13:48 - mmengine - INFO - Epoch(train) [258][25/63] lr: 1.0000e-05 eta: 14:12:47 time: 0.9170 data_time: 0.0181 memory: 27783 loss: 0.1965 loss_text: 0.1347 loss_kernel: 0.0618 2022/11/02 00:13:53 - mmengine - INFO - Epoch(train) [258][30/63] lr: 1.0000e-05 eta: 14:12:03 time: 0.9115 data_time: 0.0152 memory: 27783 loss: 0.2216 loss_text: 0.1516 loss_kernel: 0.0700 2022/11/02 00:13:58 - mmengine - INFO - Epoch(train) [258][35/63] lr: 1.0000e-05 eta: 14:12:03 time: 0.9338 data_time: 0.0171 memory: 27783 loss: 0.2226 loss_text: 0.1523 loss_kernel: 0.0703 2022/11/02 00:14:03 - mmengine - INFO - Epoch(train) [258][40/63] lr: 1.0000e-05 eta: 14:11:21 time: 0.9571 data_time: 0.0202 memory: 27783 loss: 0.2060 loss_text: 0.1409 loss_kernel: 0.0651 2022/11/02 00:14:07 - mmengine - INFO - Epoch(train) [258][45/63] lr: 1.0000e-05 eta: 14:11:21 time: 0.9484 data_time: 0.0266 memory: 27783 loss: 0.1670 loss_text: 0.1136 loss_kernel: 0.0534 2022/11/02 00:14:12 - mmengine - INFO - Epoch(train) [258][50/63] lr: 1.0000e-05 eta: 14:10:38 time: 0.9009 data_time: 0.0201 memory: 27783 loss: 0.1459 loss_text: 0.0990 loss_kernel: 0.0469 2022/11/02 00:14:16 - mmengine - INFO - Epoch(train) [258][55/63] lr: 1.0000e-05 eta: 14:10:38 time: 0.8937 data_time: 0.0150 memory: 27783 loss: 0.1889 loss_text: 0.1294 loss_kernel: 0.0595 2022/11/02 00:14:21 - mmengine - INFO - Epoch(train) [258][60/63] lr: 1.0000e-05 eta: 14:09:55 time: 0.9212 data_time: 0.0227 memory: 27783 loss: 0.1836 loss_text: 0.1258 loss_kernel: 0.0578 2022/11/02 00:14:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:16:03 - mmengine - INFO - Epoch(train) [259][5/63] lr: 1.0000e-05 eta: 14:09:55 time: 10.3894 data_time: 9.5354 memory: 27783 loss: 0.2055 loss_text: 0.1409 loss_kernel: 0.0645 2022/11/02 00:16:08 - mmengine - INFO - Epoch(train) [259][10/63] lr: 1.0000e-05 eta: 14:11:02 time: 10.4478 data_time: 9.5487 memory: 27783 loss: 0.2326 loss_text: 0.1611 loss_kernel: 0.0715 2022/11/02 00:16:12 - mmengine - INFO - Epoch(train) [259][15/63] lr: 1.0000e-05 eta: 14:11:02 time: 0.9118 data_time: 0.0238 memory: 27783 loss: 0.2044 loss_text: 0.1408 loss_kernel: 0.0636 2022/11/02 00:16:17 - mmengine - INFO - Epoch(train) [259][20/63] lr: 1.0000e-05 eta: 14:10:19 time: 0.9179 data_time: 0.0182 memory: 27783 loss: 0.2309 loss_text: 0.1596 loss_kernel: 0.0713 2022/11/02 00:16:21 - mmengine - INFO - Epoch(train) [259][25/63] lr: 1.0000e-05 eta: 14:10:19 time: 0.9440 data_time: 0.0274 memory: 27783 loss: 0.2154 loss_text: 0.1489 loss_kernel: 0.0665 2022/11/02 00:16:26 - mmengine - INFO - Epoch(train) [259][30/63] lr: 1.0000e-05 eta: 14:09:36 time: 0.9370 data_time: 0.0179 memory: 27783 loss: 0.1637 loss_text: 0.1128 loss_kernel: 0.0508 2022/11/02 00:16:31 - mmengine - INFO - Epoch(train) [259][35/63] lr: 1.0000e-05 eta: 14:09:36 time: 0.9911 data_time: 0.0198 memory: 27783 loss: 0.1884 loss_text: 0.1299 loss_kernel: 0.0585 2022/11/02 00:16:36 - mmengine - INFO - Epoch(train) [259][40/63] lr: 1.0000e-05 eta: 14:08:54 time: 0.9719 data_time: 0.0214 memory: 27783 loss: 0.2166 loss_text: 0.1482 loss_kernel: 0.0684 2022/11/02 00:16:40 - mmengine - INFO - Epoch(train) [259][45/63] lr: 1.0000e-05 eta: 14:08:54 time: 0.9091 data_time: 0.0197 memory: 27783 loss: 0.2255 loss_text: 0.1543 loss_kernel: 0.0711 2022/11/02 00:16:45 - mmengine - INFO - Epoch(train) [259][50/63] lr: 1.0000e-05 eta: 14:08:12 time: 0.9401 data_time: 0.0295 memory: 27783 loss: 0.1838 loss_text: 0.1258 loss_kernel: 0.0580 2022/11/02 00:16:50 - mmengine - INFO - Epoch(train) [259][55/63] lr: 1.0000e-05 eta: 14:08:12 time: 0.9389 data_time: 0.0191 memory: 27783 loss: 0.1572 loss_text: 0.1072 loss_kernel: 0.0500 2022/11/02 00:16:55 - mmengine - INFO - Epoch(train) [259][60/63] lr: 1.0000e-05 eta: 14:07:30 time: 0.9723 data_time: 0.0157 memory: 27783 loss: 0.1989 loss_text: 0.1369 loss_kernel: 0.0620 2022/11/02 00:16:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:18:37 - mmengine - INFO - Epoch(train) [260][5/63] lr: 1.0000e-05 eta: 14:07:30 time: 10.4279 data_time: 9.5187 memory: 27783 loss: 0.2116 loss_text: 0.1461 loss_kernel: 0.0656 2022/11/02 00:18:42 - mmengine - INFO - Epoch(train) [260][10/63] lr: 1.0000e-05 eta: 14:08:36 time: 10.4618 data_time: 9.5350 memory: 27783 loss: 0.1967 loss_text: 0.1358 loss_kernel: 0.0609 2022/11/02 00:18:46 - mmengine - INFO - Epoch(train) [260][15/63] lr: 1.0000e-05 eta: 14:08:36 time: 0.9339 data_time: 0.0229 memory: 27783 loss: 0.1979 loss_text: 0.1360 loss_kernel: 0.0619 2022/11/02 00:18:51 - mmengine - INFO - Epoch(train) [260][20/63] lr: 1.0000e-05 eta: 14:07:53 time: 0.9111 data_time: 0.0169 memory: 27783 loss: 0.1919 loss_text: 0.1314 loss_kernel: 0.0605 2022/11/02 00:18:56 - mmengine - INFO - Epoch(train) [260][25/63] lr: 1.0000e-05 eta: 14:07:53 time: 0.9147 data_time: 0.0282 memory: 27783 loss: 0.2213 loss_text: 0.1525 loss_kernel: 0.0689 2022/11/02 00:19:00 - mmengine - INFO - Epoch(train) [260][30/63] lr: 1.0000e-05 eta: 14:07:10 time: 0.8904 data_time: 0.0187 memory: 27783 loss: 0.2430 loss_text: 0.1676 loss_kernel: 0.0755 2022/11/02 00:19:05 - mmengine - INFO - Epoch(train) [260][35/63] lr: 1.0000e-05 eta: 14:07:10 time: 0.9091 data_time: 0.0201 memory: 27783 loss: 0.1887 loss_text: 0.1297 loss_kernel: 0.0589 2022/11/02 00:19:09 - mmengine - INFO - Epoch(train) [260][40/63] lr: 1.0000e-05 eta: 14:06:27 time: 0.9205 data_time: 0.0203 memory: 27783 loss: 0.2152 loss_text: 0.1483 loss_kernel: 0.0669 2022/11/02 00:19:14 - mmengine - INFO - Epoch(train) [260][45/63] lr: 1.0000e-05 eta: 14:06:27 time: 0.9375 data_time: 0.0167 memory: 27783 loss: 0.2431 loss_text: 0.1670 loss_kernel: 0.0761 2022/11/02 00:19:19 - mmengine - INFO - Epoch(train) [260][50/63] lr: 1.0000e-05 eta: 14:05:45 time: 0.9559 data_time: 0.0281 memory: 27783 loss: 0.2195 loss_text: 0.1507 loss_kernel: 0.0688 2022/11/02 00:19:23 - mmengine - INFO - Epoch(train) [260][55/63] lr: 1.0000e-05 eta: 14:05:45 time: 0.9269 data_time: 0.0186 memory: 27783 loss: 0.2093 loss_text: 0.1428 loss_kernel: 0.0665 2022/11/02 00:19:28 - mmengine - INFO - Epoch(train) [260][60/63] lr: 1.0000e-05 eta: 14:05:03 time: 0.9234 data_time: 0.0145 memory: 27783 loss: 0.1793 loss_text: 0.1214 loss_kernel: 0.0579 2022/11/02 00:19:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:19:30 - mmengine - INFO - Saving checkpoint at 260 epochs 2022/11/02 00:21:15 - mmengine - INFO - Epoch(train) [261][5/63] lr: 1.0000e-05 eta: 14:05:03 time: 10.3673 data_time: 9.5219 memory: 27783 loss: 0.2240 loss_text: 0.1543 loss_kernel: 0.0697 2022/11/02 00:21:20 - mmengine - INFO - Epoch(train) [261][10/63] lr: 1.0000e-05 eta: 14:06:08 time: 10.4164 data_time: 9.5326 memory: 27783 loss: 0.2222 loss_text: 0.1531 loss_kernel: 0.0691 2022/11/02 00:21:25 - mmengine - INFO - Epoch(train) [261][15/63] lr: 1.0000e-05 eta: 14:06:08 time: 0.9212 data_time: 0.0237 memory: 27783 loss: 0.1773 loss_text: 0.1215 loss_kernel: 0.0558 2022/11/02 00:21:29 - mmengine - INFO - Epoch(train) [261][20/63] lr: 1.0000e-05 eta: 14:05:25 time: 0.9315 data_time: 0.0269 memory: 27783 loss: 0.1666 loss_text: 0.1147 loss_kernel: 0.0519 2022/11/02 00:21:34 - mmengine - INFO - Epoch(train) [261][25/63] lr: 1.0000e-05 eta: 14:05:25 time: 0.9448 data_time: 0.0276 memory: 27783 loss: 0.1641 loss_text: 0.1129 loss_kernel: 0.0513 2022/11/02 00:21:39 - mmengine - INFO - Epoch(train) [261][30/63] lr: 1.0000e-05 eta: 14:04:43 time: 0.9558 data_time: 0.0197 memory: 27783 loss: 0.1812 loss_text: 0.1237 loss_kernel: 0.0575 2022/11/02 00:21:44 - mmengine - INFO - Epoch(train) [261][35/63] lr: 1.0000e-05 eta: 14:04:43 time: 0.9628 data_time: 0.0220 memory: 27783 loss: 0.1977 loss_text: 0.1357 loss_kernel: 0.0620 2022/11/02 00:21:48 - mmengine - INFO - Epoch(train) [261][40/63] lr: 1.0000e-05 eta: 14:04:01 time: 0.9471 data_time: 0.0211 memory: 27783 loss: 0.1706 loss_text: 0.1171 loss_kernel: 0.0535 2022/11/02 00:21:53 - mmengine - INFO - Epoch(train) [261][45/63] lr: 1.0000e-05 eta: 14:04:01 time: 0.9195 data_time: 0.0221 memory: 27783 loss: 0.1641 loss_text: 0.1114 loss_kernel: 0.0528 2022/11/02 00:21:57 - mmengine - INFO - Epoch(train) [261][50/63] lr: 1.0000e-05 eta: 14:03:18 time: 0.8960 data_time: 0.0205 memory: 27783 loss: 0.1881 loss_text: 0.1275 loss_kernel: 0.0606 2022/11/02 00:22:02 - mmengine - INFO - Epoch(train) [261][55/63] lr: 1.0000e-05 eta: 14:03:18 time: 0.8833 data_time: 0.0167 memory: 27783 loss: 0.1847 loss_text: 0.1267 loss_kernel: 0.0580 2022/11/02 00:22:06 - mmengine - INFO - Epoch(train) [261][60/63] lr: 1.0000e-05 eta: 14:02:35 time: 0.8967 data_time: 0.0215 memory: 27783 loss: 0.1705 loss_text: 0.1173 loss_kernel: 0.0532 2022/11/02 00:22:08 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:23:48 - mmengine - INFO - Epoch(train) [262][5/63] lr: 1.0000e-05 eta: 14:02:35 time: 10.3875 data_time: 9.4672 memory: 27783 loss: 0.1638 loss_text: 0.1131 loss_kernel: 0.0507 2022/11/02 00:23:53 - mmengine - INFO - Epoch(train) [262][10/63] lr: 1.0000e-05 eta: 14:03:40 time: 10.4596 data_time: 9.4672 memory: 27783 loss: 0.1542 loss_text: 0.1067 loss_kernel: 0.0475 2022/11/02 00:23:58 - mmengine - INFO - Epoch(train) [262][15/63] lr: 1.0000e-05 eta: 14:03:40 time: 0.9181 data_time: 0.0157 memory: 27783 loss: 0.1752 loss_text: 0.1197 loss_kernel: 0.0555 2022/11/02 00:24:02 - mmengine - INFO - Epoch(train) [262][20/63] lr: 1.0000e-05 eta: 14:02:57 time: 0.9007 data_time: 0.0196 memory: 27783 loss: 0.1804 loss_text: 0.1241 loss_kernel: 0.0563 2022/11/02 00:24:07 - mmengine - INFO - Epoch(train) [262][25/63] lr: 1.0000e-05 eta: 14:02:57 time: 0.9219 data_time: 0.0203 memory: 27783 loss: 0.1459 loss_text: 0.0996 loss_kernel: 0.0463 2022/11/02 00:24:12 - mmengine - INFO - Epoch(train) [262][30/63] lr: 1.0000e-05 eta: 14:02:15 time: 0.9535 data_time: 0.0206 memory: 27783 loss: 0.1510 loss_text: 0.1028 loss_kernel: 0.0482 2022/11/02 00:24:16 - mmengine - INFO - Epoch(train) [262][35/63] lr: 1.0000e-05 eta: 14:02:15 time: 0.9371 data_time: 0.0238 memory: 27783 loss: 0.2334 loss_text: 0.1611 loss_kernel: 0.0723 2022/11/02 00:24:21 - mmengine - INFO - Epoch(train) [262][40/63] lr: 1.0000e-05 eta: 14:01:33 time: 0.9101 data_time: 0.0209 memory: 27783 loss: 0.2495 loss_text: 0.1726 loss_kernel: 0.0769 2022/11/02 00:24:25 - mmengine - INFO - Epoch(train) [262][45/63] lr: 1.0000e-05 eta: 14:01:33 time: 0.9182 data_time: 0.0257 memory: 27783 loss: 0.2327 loss_text: 0.1616 loss_kernel: 0.0711 2022/11/02 00:24:30 - mmengine - INFO - Epoch(train) [262][50/63] lr: 1.0000e-05 eta: 14:00:50 time: 0.9275 data_time: 0.0226 memory: 27783 loss: 0.2074 loss_text: 0.1432 loss_kernel: 0.0641 2022/11/02 00:24:35 - mmengine - INFO - Epoch(train) [262][55/63] lr: 1.0000e-05 eta: 14:00:50 time: 0.9176 data_time: 0.0144 memory: 27783 loss: 0.1777 loss_text: 0.1208 loss_kernel: 0.0570 2022/11/02 00:24:39 - mmengine - INFO - Epoch(train) [262][60/63] lr: 1.0000e-05 eta: 14:00:08 time: 0.9089 data_time: 0.0205 memory: 27783 loss: 0.1804 loss_text: 0.1235 loss_kernel: 0.0569 2022/11/02 00:24:41 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:26:21 - mmengine - INFO - Epoch(train) [263][5/63] lr: 1.0000e-05 eta: 14:00:08 time: 10.3817 data_time: 9.5456 memory: 27783 loss: 0.1870 loss_text: 0.1281 loss_kernel: 0.0589 2022/11/02 00:26:26 - mmengine - INFO - Epoch(train) [263][10/63] lr: 1.0000e-05 eta: 14:01:12 time: 10.4255 data_time: 9.5507 memory: 27783 loss: 0.2068 loss_text: 0.1435 loss_kernel: 0.0633 2022/11/02 00:26:30 - mmengine - INFO - Epoch(train) [263][15/63] lr: 1.0000e-05 eta: 14:01:12 time: 0.9082 data_time: 0.0229 memory: 27783 loss: 0.2287 loss_text: 0.1588 loss_kernel: 0.0699 2022/11/02 00:26:36 - mmengine - INFO - Epoch(train) [263][20/63] lr: 1.0000e-05 eta: 14:00:31 time: 1.0137 data_time: 0.0261 memory: 27783 loss: 0.2038 loss_text: 0.1400 loss_kernel: 0.0638 2022/11/02 00:26:40 - mmengine - INFO - Epoch(train) [263][25/63] lr: 1.0000e-05 eta: 14:00:31 time: 1.0148 data_time: 0.0270 memory: 27783 loss: 0.1895 loss_text: 0.1298 loss_kernel: 0.0597 2022/11/02 00:26:45 - mmengine - INFO - Epoch(train) [263][30/63] lr: 1.0000e-05 eta: 13:59:49 time: 0.9580 data_time: 0.0195 memory: 27783 loss: 0.2255 loss_text: 0.1557 loss_kernel: 0.0698 2022/11/02 00:26:50 - mmengine - INFO - Epoch(train) [263][35/63] lr: 1.0000e-05 eta: 13:59:49 time: 0.9730 data_time: 0.0251 memory: 27783 loss: 0.2138 loss_text: 0.1468 loss_kernel: 0.0670 2022/11/02 00:26:55 - mmengine - INFO - Epoch(train) [263][40/63] lr: 1.0000e-05 eta: 13:59:07 time: 0.9227 data_time: 0.0267 memory: 27783 loss: 0.2043 loss_text: 0.1398 loss_kernel: 0.0646 2022/11/02 00:26:59 - mmengine - INFO - Epoch(train) [263][45/63] lr: 1.0000e-05 eta: 13:59:07 time: 0.8915 data_time: 0.0176 memory: 27783 loss: 0.2180 loss_text: 0.1493 loss_kernel: 0.0687 2022/11/02 00:27:04 - mmengine - INFO - Epoch(train) [263][50/63] lr: 1.0000e-05 eta: 13:58:24 time: 0.9209 data_time: 0.0191 memory: 27783 loss: 0.1960 loss_text: 0.1336 loss_kernel: 0.0623 2022/11/02 00:27:08 - mmengine - INFO - Epoch(train) [263][55/63] lr: 1.0000e-05 eta: 13:58:24 time: 0.9294 data_time: 0.0187 memory: 27783 loss: 0.2125 loss_text: 0.1457 loss_kernel: 0.0668 2022/11/02 00:27:13 - mmengine - INFO - Epoch(train) [263][60/63] lr: 1.0000e-05 eta: 13:57:42 time: 0.9492 data_time: 0.0197 memory: 27783 loss: 0.2241 loss_text: 0.1542 loss_kernel: 0.0699 2022/11/02 00:27:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:28:55 - mmengine - INFO - Epoch(train) [264][5/63] lr: 1.0000e-05 eta: 13:57:42 time: 10.3371 data_time: 9.4754 memory: 27783 loss: 0.1824 loss_text: 0.1248 loss_kernel: 0.0576 2022/11/02 00:28:59 - mmengine - INFO - Epoch(train) [264][10/63] lr: 1.0000e-05 eta: 13:58:45 time: 10.3543 data_time: 9.4746 memory: 27783 loss: 0.1922 loss_text: 0.1319 loss_kernel: 0.0603 2022/11/02 00:29:04 - mmengine - INFO - Epoch(train) [264][15/63] lr: 1.0000e-05 eta: 13:58:45 time: 0.9140 data_time: 0.0206 memory: 27783 loss: 0.1519 loss_text: 0.1040 loss_kernel: 0.0479 2022/11/02 00:29:09 - mmengine - INFO - Epoch(train) [264][20/63] lr: 1.0000e-05 eta: 13:58:03 time: 0.9616 data_time: 0.0305 memory: 27783 loss: 0.1695 loss_text: 0.1164 loss_kernel: 0.0532 2022/11/02 00:29:14 - mmengine - INFO - Epoch(train) [264][25/63] lr: 1.0000e-05 eta: 13:58:03 time: 0.9522 data_time: 0.0205 memory: 27783 loss: 0.1910 loss_text: 0.1318 loss_kernel: 0.0592 2022/11/02 00:29:18 - mmengine - INFO - Epoch(train) [264][30/63] lr: 1.0000e-05 eta: 13:57:21 time: 0.9219 data_time: 0.0167 memory: 27783 loss: 0.2031 loss_text: 0.1395 loss_kernel: 0.0636 2022/11/02 00:29:23 - mmengine - INFO - Epoch(train) [264][35/63] lr: 1.0000e-05 eta: 13:57:21 time: 0.9577 data_time: 0.0239 memory: 27783 loss: 0.1740 loss_text: 0.1191 loss_kernel: 0.0549 2022/11/02 00:29:28 - mmengine - INFO - Epoch(train) [264][40/63] lr: 1.0000e-05 eta: 13:56:39 time: 0.9608 data_time: 0.0193 memory: 27783 loss: 0.1700 loss_text: 0.1166 loss_kernel: 0.0534 2022/11/02 00:29:32 - mmengine - INFO - Epoch(train) [264][45/63] lr: 1.0000e-05 eta: 13:56:39 time: 0.9048 data_time: 0.0184 memory: 27783 loss: 0.2141 loss_text: 0.1467 loss_kernel: 0.0675 2022/11/02 00:29:37 - mmengine - INFO - Epoch(train) [264][50/63] lr: 1.0000e-05 eta: 13:55:57 time: 0.8945 data_time: 0.0184 memory: 27783 loss: 0.1911 loss_text: 0.1307 loss_kernel: 0.0604 2022/11/02 00:29:41 - mmengine - INFO - Epoch(train) [264][55/63] lr: 1.0000e-05 eta: 13:55:57 time: 0.9034 data_time: 0.0187 memory: 27783 loss: 0.1574 loss_text: 0.1075 loss_kernel: 0.0499 2022/11/02 00:29:46 - mmengine - INFO - Epoch(train) [264][60/63] lr: 1.0000e-05 eta: 13:55:14 time: 0.9049 data_time: 0.0208 memory: 27783 loss: 0.2136 loss_text: 0.1473 loss_kernel: 0.0663 2022/11/02 00:29:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:31:28 - mmengine - INFO - Epoch(train) [265][5/63] lr: 1.0000e-05 eta: 13:55:14 time: 10.3900 data_time: 9.5450 memory: 27783 loss: 0.2099 loss_text: 0.1433 loss_kernel: 0.0666 2022/11/02 00:31:33 - mmengine - INFO - Epoch(train) [265][10/63] lr: 1.0000e-05 eta: 13:56:17 time: 10.4373 data_time: 9.5557 memory: 27783 loss: 0.1973 loss_text: 0.1347 loss_kernel: 0.0627 2022/11/02 00:31:37 - mmengine - INFO - Epoch(train) [265][15/63] lr: 1.0000e-05 eta: 13:56:17 time: 0.8988 data_time: 0.0213 memory: 27783 loss: 0.2112 loss_text: 0.1451 loss_kernel: 0.0661 2022/11/02 00:31:42 - mmengine - INFO - Epoch(train) [265][20/63] lr: 1.0000e-05 eta: 13:55:35 time: 0.9000 data_time: 0.0166 memory: 27783 loss: 0.2395 loss_text: 0.1638 loss_kernel: 0.0758 2022/11/02 00:31:46 - mmengine - INFO - Epoch(train) [265][25/63] lr: 1.0000e-05 eta: 13:55:35 time: 0.9204 data_time: 0.0268 memory: 27783 loss: 0.2046 loss_text: 0.1392 loss_kernel: 0.0654 2022/11/02 00:31:51 - mmengine - INFO - Epoch(train) [265][30/63] lr: 1.0000e-05 eta: 13:54:53 time: 0.9442 data_time: 0.0186 memory: 27783 loss: 0.1747 loss_text: 0.1187 loss_kernel: 0.0559 2022/11/02 00:31:56 - mmengine - INFO - Epoch(train) [265][35/63] lr: 1.0000e-05 eta: 13:54:53 time: 0.9601 data_time: 0.0213 memory: 27783 loss: 0.1875 loss_text: 0.1271 loss_kernel: 0.0604 2022/11/02 00:32:01 - mmengine - INFO - Epoch(train) [265][40/63] lr: 1.0000e-05 eta: 13:54:12 time: 1.0063 data_time: 0.0229 memory: 27783 loss: 0.2060 loss_text: 0.1406 loss_kernel: 0.0653 2022/11/02 00:32:06 - mmengine - INFO - Epoch(train) [265][45/63] lr: 1.0000e-05 eta: 13:54:12 time: 1.0061 data_time: 0.0218 memory: 27783 loss: 0.2057 loss_text: 0.1413 loss_kernel: 0.0644 2022/11/02 00:32:11 - mmengine - INFO - Epoch(train) [265][50/63] lr: 1.0000e-05 eta: 13:53:30 time: 0.9409 data_time: 0.0268 memory: 27783 loss: 0.2136 loss_text: 0.1469 loss_kernel: 0.0667 2022/11/02 00:32:15 - mmengine - INFO - Epoch(train) [265][55/63] lr: 1.0000e-05 eta: 13:53:30 time: 0.9002 data_time: 0.0150 memory: 27783 loss: 0.2378 loss_text: 0.1644 loss_kernel: 0.0734 2022/11/02 00:32:19 - mmengine - INFO - Epoch(train) [265][60/63] lr: 1.0000e-05 eta: 13:52:48 time: 0.8934 data_time: 0.0158 memory: 27783 loss: 0.1929 loss_text: 0.1333 loss_kernel: 0.0596 2022/11/02 00:32:22 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:34:02 - mmengine - INFO - Epoch(train) [266][5/63] lr: 1.0000e-05 eta: 13:52:48 time: 10.3851 data_time: 9.4732 memory: 27783 loss: 0.1740 loss_text: 0.1184 loss_kernel: 0.0556 2022/11/02 00:34:06 - mmengine - INFO - Epoch(train) [266][10/63] lr: 1.0000e-05 eta: 13:53:50 time: 10.4338 data_time: 9.4893 memory: 27783 loss: 0.1820 loss_text: 0.1240 loss_kernel: 0.0580 2022/11/02 00:34:11 - mmengine - INFO - Epoch(train) [266][15/63] lr: 1.0000e-05 eta: 13:53:50 time: 0.9161 data_time: 0.0228 memory: 27783 loss: 0.1804 loss_text: 0.1233 loss_kernel: 0.0571 2022/11/02 00:34:16 - mmengine - INFO - Epoch(train) [266][20/63] lr: 1.0000e-05 eta: 13:53:08 time: 0.9287 data_time: 0.0173 memory: 27783 loss: 0.1815 loss_text: 0.1250 loss_kernel: 0.0565 2022/11/02 00:34:21 - mmengine - INFO - Epoch(train) [266][25/63] lr: 1.0000e-05 eta: 13:53:08 time: 0.9922 data_time: 0.0282 memory: 27783 loss: 0.2040 loss_text: 0.1405 loss_kernel: 0.0635 2022/11/02 00:34:25 - mmengine - INFO - Epoch(train) [266][30/63] lr: 1.0000e-05 eta: 13:52:27 time: 0.9687 data_time: 0.0185 memory: 27783 loss: 0.1841 loss_text: 0.1255 loss_kernel: 0.0586 2022/11/02 00:34:30 - mmengine - INFO - Epoch(train) [266][35/63] lr: 1.0000e-05 eta: 13:52:27 time: 0.9080 data_time: 0.0200 memory: 27783 loss: 0.2012 loss_text: 0.1376 loss_kernel: 0.0636 2022/11/02 00:34:34 - mmengine - INFO - Epoch(train) [266][40/63] lr: 1.0000e-05 eta: 13:51:45 time: 0.9050 data_time: 0.0194 memory: 27783 loss: 0.2255 loss_text: 0.1549 loss_kernel: 0.0707 2022/11/02 00:34:39 - mmengine - INFO - Epoch(train) [266][45/63] lr: 1.0000e-05 eta: 13:51:45 time: 0.9163 data_time: 0.0169 memory: 27783 loss: 0.2102 loss_text: 0.1442 loss_kernel: 0.0660 2022/11/02 00:34:44 - mmengine - INFO - Epoch(train) [266][50/63] lr: 1.0000e-05 eta: 13:51:03 time: 0.9414 data_time: 0.0266 memory: 27783 loss: 0.2021 loss_text: 0.1390 loss_kernel: 0.0632 2022/11/02 00:34:48 - mmengine - INFO - Epoch(train) [266][55/63] lr: 1.0000e-05 eta: 13:51:03 time: 0.9091 data_time: 0.0173 memory: 27783 loss: 0.1985 loss_text: 0.1366 loss_kernel: 0.0618 2022/11/02 00:34:53 - mmengine - INFO - Epoch(train) [266][60/63] lr: 1.0000e-05 eta: 13:50:21 time: 0.8940 data_time: 0.0139 memory: 27783 loss: 0.1957 loss_text: 0.1350 loss_kernel: 0.0607 2022/11/02 00:34:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:36:36 - mmengine - INFO - Epoch(train) [267][5/63] lr: 1.0000e-05 eta: 13:50:21 time: 10.4833 data_time: 9.6030 memory: 27783 loss: 0.1451 loss_text: 0.1006 loss_kernel: 0.0445 2022/11/02 00:36:41 - mmengine - INFO - Epoch(train) [267][10/63] lr: 1.0000e-05 eta: 13:51:23 time: 10.5213 data_time: 9.6169 memory: 27783 loss: 0.1716 loss_text: 0.1177 loss_kernel: 0.0539 2022/11/02 00:36:45 - mmengine - INFO - Epoch(train) [267][15/63] lr: 1.0000e-05 eta: 13:51:23 time: 0.9570 data_time: 0.0227 memory: 27783 loss: 0.1956 loss_text: 0.1338 loss_kernel: 0.0618 2022/11/02 00:36:50 - mmengine - INFO - Epoch(train) [267][20/63] lr: 1.0000e-05 eta: 13:50:42 time: 0.9582 data_time: 0.0180 memory: 27783 loss: 0.1899 loss_text: 0.1297 loss_kernel: 0.0602 2022/11/02 00:36:55 - mmengine - INFO - Epoch(train) [267][25/63] lr: 1.0000e-05 eta: 13:50:42 time: 0.9110 data_time: 0.0178 memory: 27783 loss: 0.2299 loss_text: 0.1581 loss_kernel: 0.0718 2022/11/02 00:36:59 - mmengine - INFO - Epoch(train) [267][30/63] lr: 1.0000e-05 eta: 13:50:00 time: 0.9011 data_time: 0.0172 memory: 27783 loss: 0.2414 loss_text: 0.1661 loss_kernel: 0.0753 2022/11/02 00:37:04 - mmengine - INFO - Epoch(train) [267][35/63] lr: 1.0000e-05 eta: 13:50:00 time: 0.9313 data_time: 0.0262 memory: 27783 loss: 0.1795 loss_text: 0.1228 loss_kernel: 0.0567 2022/11/02 00:37:09 - mmengine - INFO - Epoch(train) [267][40/63] lr: 1.0000e-05 eta: 13:49:19 time: 0.9882 data_time: 0.0197 memory: 27783 loss: 0.1405 loss_text: 0.0956 loss_kernel: 0.0449 2022/11/02 00:37:14 - mmengine - INFO - Epoch(train) [267][45/63] lr: 1.0000e-05 eta: 13:49:19 time: 0.9834 data_time: 0.0179 memory: 27783 loss: 0.1689 loss_text: 0.1149 loss_kernel: 0.0540 2022/11/02 00:37:18 - mmengine - INFO - Epoch(train) [267][50/63] lr: 1.0000e-05 eta: 13:48:37 time: 0.9207 data_time: 0.0249 memory: 27783 loss: 0.2120 loss_text: 0.1447 loss_kernel: 0.0673 2022/11/02 00:37:23 - mmengine - INFO - Epoch(train) [267][55/63] lr: 1.0000e-05 eta: 13:48:37 time: 0.8885 data_time: 0.0154 memory: 27783 loss: 0.2357 loss_text: 0.1622 loss_kernel: 0.0735 2022/11/02 00:37:27 - mmengine - INFO - Epoch(train) [267][60/63] lr: 1.0000e-05 eta: 13:47:55 time: 0.8722 data_time: 0.0124 memory: 27783 loss: 0.2721 loss_text: 0.1884 loss_kernel: 0.0837 2022/11/02 00:37:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:39:09 - mmengine - INFO - Epoch(train) [268][5/63] lr: 1.0000e-05 eta: 13:47:55 time: 10.3582 data_time: 9.5183 memory: 27783 loss: 0.2296 loss_text: 0.1575 loss_kernel: 0.0721 2022/11/02 00:39:14 - mmengine - INFO - Epoch(train) [268][10/63] lr: 1.0000e-05 eta: 13:48:55 time: 10.4289 data_time: 9.5291 memory: 27783 loss: 0.1757 loss_text: 0.1191 loss_kernel: 0.0566 2022/11/02 00:39:18 - mmengine - INFO - Epoch(train) [268][15/63] lr: 1.0000e-05 eta: 13:48:55 time: 0.9139 data_time: 0.0260 memory: 27783 loss: 0.1898 loss_text: 0.1296 loss_kernel: 0.0602 2022/11/02 00:39:23 - mmengine - INFO - Epoch(train) [268][20/63] lr: 1.0000e-05 eta: 13:48:14 time: 0.9121 data_time: 0.0234 memory: 27783 loss: 0.2059 loss_text: 0.1413 loss_kernel: 0.0646 2022/11/02 00:39:28 - mmengine - INFO - Epoch(train) [268][25/63] lr: 1.0000e-05 eta: 13:48:14 time: 0.9902 data_time: 0.0237 memory: 27783 loss: 0.1797 loss_text: 0.1232 loss_kernel: 0.0565 2022/11/02 00:39:32 - mmengine - INFO - Epoch(train) [268][30/63] lr: 1.0000e-05 eta: 13:47:32 time: 0.9717 data_time: 0.0187 memory: 27783 loss: 0.2279 loss_text: 0.1570 loss_kernel: 0.0709 2022/11/02 00:39:37 - mmengine - INFO - Epoch(train) [268][35/63] lr: 1.0000e-05 eta: 13:47:32 time: 0.8970 data_time: 0.0178 memory: 27783 loss: 0.2402 loss_text: 0.1658 loss_kernel: 0.0744 2022/11/02 00:39:41 - mmengine - INFO - Epoch(train) [268][40/63] lr: 1.0000e-05 eta: 13:46:51 time: 0.9013 data_time: 0.0165 memory: 27783 loss: 0.1708 loss_text: 0.1171 loss_kernel: 0.0538 2022/11/02 00:39:46 - mmengine - INFO - Epoch(train) [268][45/63] lr: 1.0000e-05 eta: 13:46:51 time: 0.8978 data_time: 0.0160 memory: 27783 loss: 0.1976 loss_text: 0.1355 loss_kernel: 0.0621 2022/11/02 00:39:51 - mmengine - INFO - Epoch(train) [268][50/63] lr: 1.0000e-05 eta: 13:46:09 time: 0.9172 data_time: 0.0230 memory: 27783 loss: 0.2208 loss_text: 0.1520 loss_kernel: 0.0688 2022/11/02 00:39:55 - mmengine - INFO - Epoch(train) [268][55/63] lr: 1.0000e-05 eta: 13:46:09 time: 0.9229 data_time: 0.0249 memory: 27783 loss: 0.1986 loss_text: 0.1361 loss_kernel: 0.0625 2022/11/02 00:40:00 - mmengine - INFO - Epoch(train) [268][60/63] lr: 1.0000e-05 eta: 13:45:27 time: 0.9024 data_time: 0.0188 memory: 27783 loss: 0.2091 loss_text: 0.1430 loss_kernel: 0.0661 2022/11/02 00:40:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:41:41 - mmengine - INFO - Epoch(train) [269][5/63] lr: 1.0000e-05 eta: 13:45:27 time: 10.3264 data_time: 9.4618 memory: 27783 loss: 0.2341 loss_text: 0.1614 loss_kernel: 0.0727 2022/11/02 00:41:46 - mmengine - INFO - Epoch(train) [269][10/63] lr: 1.0000e-05 eta: 13:46:27 time: 10.3894 data_time: 9.4686 memory: 27783 loss: 0.2038 loss_text: 0.1402 loss_kernel: 0.0636 2022/11/02 00:41:51 - mmengine - INFO - Epoch(train) [269][15/63] lr: 1.0000e-05 eta: 13:46:27 time: 0.9546 data_time: 0.0225 memory: 27783 loss: 0.2183 loss_text: 0.1512 loss_kernel: 0.0670 2022/11/02 00:41:56 - mmengine - INFO - Epoch(train) [269][20/63] lr: 1.0000e-05 eta: 13:45:45 time: 0.9508 data_time: 0.0195 memory: 27783 loss: 0.2263 loss_text: 0.1573 loss_kernel: 0.0689 2022/11/02 00:42:00 - mmengine - INFO - Epoch(train) [269][25/63] lr: 1.0000e-05 eta: 13:45:45 time: 0.9392 data_time: 0.0272 memory: 27783 loss: 0.1919 loss_text: 0.1321 loss_kernel: 0.0598 2022/11/02 00:42:05 - mmengine - INFO - Epoch(train) [269][30/63] lr: 1.0000e-05 eta: 13:45:04 time: 0.9270 data_time: 0.0278 memory: 27783 loss: 0.1819 loss_text: 0.1239 loss_kernel: 0.0579 2022/11/02 00:42:09 - mmengine - INFO - Epoch(train) [269][35/63] lr: 1.0000e-05 eta: 13:45:04 time: 0.9188 data_time: 0.0229 memory: 27783 loss: 0.2150 loss_text: 0.1469 loss_kernel: 0.0681 2022/11/02 00:42:14 - mmengine - INFO - Epoch(train) [269][40/63] lr: 1.0000e-05 eta: 13:44:22 time: 0.9195 data_time: 0.0218 memory: 27783 loss: 0.1990 loss_text: 0.1366 loss_kernel: 0.0624 2022/11/02 00:42:19 - mmengine - INFO - Epoch(train) [269][45/63] lr: 1.0000e-05 eta: 13:44:22 time: 0.9196 data_time: 0.0194 memory: 27783 loss: 0.1739 loss_text: 0.1190 loss_kernel: 0.0548 2022/11/02 00:42:23 - mmengine - INFO - Epoch(train) [269][50/63] lr: 1.0000e-05 eta: 13:43:40 time: 0.9045 data_time: 0.0200 memory: 27783 loss: 0.2187 loss_text: 0.1504 loss_kernel: 0.0683 2022/11/02 00:42:27 - mmengine - INFO - Epoch(train) [269][55/63] lr: 1.0000e-05 eta: 13:43:40 time: 0.8777 data_time: 0.0166 memory: 27783 loss: 0.2496 loss_text: 0.1719 loss_kernel: 0.0777 2022/11/02 00:42:32 - mmengine - INFO - Epoch(train) [269][60/63] lr: 1.0000e-05 eta: 13:42:59 time: 0.8828 data_time: 0.0171 memory: 27783 loss: 0.1951 loss_text: 0.1328 loss_kernel: 0.0624 2022/11/02 00:42:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:44:13 - mmengine - INFO - Epoch(train) [270][5/63] lr: 1.0000e-05 eta: 13:42:59 time: 10.3194 data_time: 9.4553 memory: 27783 loss: 0.1959 loss_text: 0.1327 loss_kernel: 0.0632 2022/11/02 00:44:18 - mmengine - INFO - Epoch(train) [270][10/63] lr: 1.0000e-05 eta: 13:43:57 time: 10.3761 data_time: 9.4644 memory: 27783 loss: 0.2011 loss_text: 0.1370 loss_kernel: 0.0642 2022/11/02 00:44:23 - mmengine - INFO - Epoch(train) [270][15/63] lr: 1.0000e-05 eta: 13:43:57 time: 0.9335 data_time: 0.0202 memory: 27783 loss: 0.2028 loss_text: 0.1386 loss_kernel: 0.0643 2022/11/02 00:44:27 - mmengine - INFO - Epoch(train) [270][20/63] lr: 1.0000e-05 eta: 13:43:16 time: 0.9169 data_time: 0.0180 memory: 27783 loss: 0.1918 loss_text: 0.1317 loss_kernel: 0.0601 2022/11/02 00:44:32 - mmengine - INFO - Epoch(train) [270][25/63] lr: 1.0000e-05 eta: 13:43:16 time: 0.9380 data_time: 0.0202 memory: 27783 loss: 0.1904 loss_text: 0.1314 loss_kernel: 0.0590 2022/11/02 00:44:37 - mmengine - INFO - Epoch(train) [270][30/63] lr: 1.0000e-05 eta: 13:42:35 time: 0.9333 data_time: 0.0176 memory: 27783 loss: 0.2144 loss_text: 0.1489 loss_kernel: 0.0655 2022/11/02 00:44:41 - mmengine - INFO - Epoch(train) [270][35/63] lr: 1.0000e-05 eta: 13:42:35 time: 0.9063 data_time: 0.0259 memory: 27783 loss: 0.2413 loss_text: 0.1671 loss_kernel: 0.0742 2022/11/02 00:44:46 - mmengine - INFO - Epoch(train) [270][40/63] lr: 1.0000e-05 eta: 13:41:53 time: 0.9161 data_time: 0.0222 memory: 27783 loss: 0.2034 loss_text: 0.1406 loss_kernel: 0.0628 2022/11/02 00:44:51 - mmengine - INFO - Epoch(train) [270][45/63] lr: 1.0000e-05 eta: 13:41:53 time: 0.9339 data_time: 0.0238 memory: 27783 loss: 0.1868 loss_text: 0.1292 loss_kernel: 0.0576 2022/11/02 00:44:55 - mmengine - INFO - Epoch(train) [270][50/63] lr: 1.0000e-05 eta: 13:41:12 time: 0.9324 data_time: 0.0302 memory: 27783 loss: 0.1841 loss_text: 0.1253 loss_kernel: 0.0588 2022/11/02 00:44:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:45:00 - mmengine - INFO - Epoch(train) [270][55/63] lr: 1.0000e-05 eta: 13:41:12 time: 0.9028 data_time: 0.0204 memory: 27783 loss: 0.1913 loss_text: 0.1303 loss_kernel: 0.0611 2022/11/02 00:45:04 - mmengine - INFO - Epoch(train) [270][60/63] lr: 1.0000e-05 eta: 13:40:30 time: 0.9034 data_time: 0.0186 memory: 27783 loss: 0.2131 loss_text: 0.1466 loss_kernel: 0.0665 2022/11/02 00:45:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:46:46 - mmengine - INFO - Epoch(train) [271][5/63] lr: 1.0000e-05 eta: 13:40:30 time: 10.3340 data_time: 9.4694 memory: 27783 loss: 0.2006 loss_text: 0.1383 loss_kernel: 0.0623 2022/11/02 00:46:50 - mmengine - INFO - Epoch(train) [271][10/63] lr: 1.0000e-05 eta: 13:41:29 time: 10.3913 data_time: 9.4814 memory: 27783 loss: 0.1668 loss_text: 0.1142 loss_kernel: 0.0526 2022/11/02 00:46:55 - mmengine - INFO - Epoch(train) [271][15/63] lr: 1.0000e-05 eta: 13:41:29 time: 0.9071 data_time: 0.0219 memory: 27783 loss: 0.2048 loss_text: 0.1401 loss_kernel: 0.0647 2022/11/02 00:47:00 - mmengine - INFO - Epoch(train) [271][20/63] lr: 1.0000e-05 eta: 13:40:48 time: 0.9773 data_time: 0.0193 memory: 27783 loss: 0.2218 loss_text: 0.1520 loss_kernel: 0.0698 2022/11/02 00:47:05 - mmengine - INFO - Epoch(train) [271][25/63] lr: 1.0000e-05 eta: 13:40:48 time: 1.0142 data_time: 0.0197 memory: 27783 loss: 0.1762 loss_text: 0.1199 loss_kernel: 0.0563 2022/11/02 00:47:10 - mmengine - INFO - Epoch(train) [271][30/63] lr: 1.0000e-05 eta: 13:40:07 time: 0.9455 data_time: 0.0204 memory: 27783 loss: 0.2006 loss_text: 0.1368 loss_kernel: 0.0637 2022/11/02 00:47:14 - mmengine - INFO - Epoch(train) [271][35/63] lr: 1.0000e-05 eta: 13:40:07 time: 0.9166 data_time: 0.0286 memory: 27783 loss: 0.2406 loss_text: 0.1653 loss_kernel: 0.0753 2022/11/02 00:47:19 - mmengine - INFO - Epoch(train) [271][40/63] lr: 1.0000e-05 eta: 13:39:25 time: 0.9061 data_time: 0.0166 memory: 27783 loss: 0.2252 loss_text: 0.1547 loss_kernel: 0.0705 2022/11/02 00:47:23 - mmengine - INFO - Epoch(train) [271][45/63] lr: 1.0000e-05 eta: 13:39:25 time: 0.9120 data_time: 0.0173 memory: 27783 loss: 0.2354 loss_text: 0.1618 loss_kernel: 0.0735 2022/11/02 00:47:28 - mmengine - INFO - Epoch(train) [271][50/63] lr: 1.0000e-05 eta: 13:38:44 time: 0.9015 data_time: 0.0284 memory: 27783 loss: 0.2453 loss_text: 0.1692 loss_kernel: 0.0762 2022/11/02 00:47:32 - mmengine - INFO - Epoch(train) [271][55/63] lr: 1.0000e-05 eta: 13:38:44 time: 0.8914 data_time: 0.0166 memory: 27783 loss: 0.1948 loss_text: 0.1347 loss_kernel: 0.0601 2022/11/02 00:47:37 - mmengine - INFO - Epoch(train) [271][60/63] lr: 1.0000e-05 eta: 13:38:02 time: 0.8944 data_time: 0.0120 memory: 27783 loss: 0.1713 loss_text: 0.1184 loss_kernel: 0.0529 2022/11/02 00:47:39 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:49:18 - mmengine - INFO - Epoch(train) [272][5/63] lr: 1.0000e-05 eta: 13:38:02 time: 10.3023 data_time: 9.4462 memory: 27783 loss: 0.1748 loss_text: 0.1212 loss_kernel: 0.0536 2022/11/02 00:49:23 - mmengine - INFO - Epoch(train) [272][10/63] lr: 1.0000e-05 eta: 13:38:59 time: 10.3409 data_time: 9.4540 memory: 27783 loss: 0.2097 loss_text: 0.1457 loss_kernel: 0.0640 2022/11/02 00:49:27 - mmengine - INFO - Epoch(train) [272][15/63] lr: 1.0000e-05 eta: 13:38:59 time: 0.9104 data_time: 0.0228 memory: 27783 loss: 0.2039 loss_text: 0.1394 loss_kernel: 0.0646 2022/11/02 00:49:32 - mmengine - INFO - Epoch(train) [272][20/63] lr: 1.0000e-05 eta: 13:38:19 time: 0.9818 data_time: 0.0280 memory: 27783 loss: 0.1930 loss_text: 0.1318 loss_kernel: 0.0612 2022/11/02 00:49:37 - mmengine - INFO - Epoch(train) [272][25/63] lr: 1.0000e-05 eta: 13:38:19 time: 0.9665 data_time: 0.0260 memory: 27783 loss: 0.1780 loss_text: 0.1220 loss_kernel: 0.0560 2022/11/02 00:49:42 - mmengine - INFO - Epoch(train) [272][30/63] lr: 1.0000e-05 eta: 13:37:38 time: 0.9135 data_time: 0.0196 memory: 27783 loss: 0.1896 loss_text: 0.1307 loss_kernel: 0.0589 2022/11/02 00:49:46 - mmengine - INFO - Epoch(train) [272][35/63] lr: 1.0000e-05 eta: 13:37:38 time: 0.9119 data_time: 0.0177 memory: 27783 loss: 0.1901 loss_text: 0.1307 loss_kernel: 0.0594 2022/11/02 00:49:51 - mmengine - INFO - Epoch(train) [272][40/63] lr: 1.0000e-05 eta: 13:36:56 time: 0.9337 data_time: 0.0183 memory: 27783 loss: 0.2213 loss_text: 0.1521 loss_kernel: 0.0691 2022/11/02 00:49:55 - mmengine - INFO - Epoch(train) [272][45/63] lr: 1.0000e-05 eta: 13:36:56 time: 0.9457 data_time: 0.0231 memory: 27783 loss: 0.2424 loss_text: 0.1669 loss_kernel: 0.0755 2022/11/02 00:50:00 - mmengine - INFO - Epoch(train) [272][50/63] lr: 1.0000e-05 eta: 13:36:15 time: 0.9068 data_time: 0.0210 memory: 27783 loss: 0.2087 loss_text: 0.1438 loss_kernel: 0.0648 2022/11/02 00:50:05 - mmengine - INFO - Epoch(train) [272][55/63] lr: 1.0000e-05 eta: 13:36:15 time: 0.9506 data_time: 0.0178 memory: 27783 loss: 0.2157 loss_text: 0.1488 loss_kernel: 0.0669 2022/11/02 00:50:09 - mmengine - INFO - Epoch(train) [272][60/63] lr: 1.0000e-05 eta: 13:35:34 time: 0.9539 data_time: 0.0203 memory: 27783 loss: 0.1947 loss_text: 0.1329 loss_kernel: 0.0618 2022/11/02 00:50:12 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:51:51 - mmengine - INFO - Epoch(train) [273][5/63] lr: 1.0000e-05 eta: 13:35:34 time: 10.3497 data_time: 9.4629 memory: 27783 loss: 0.2075 loss_text: 0.1416 loss_kernel: 0.0659 2022/11/02 00:51:56 - mmengine - INFO - Epoch(train) [273][10/63] lr: 1.0000e-05 eta: 13:36:32 time: 10.4078 data_time: 9.4764 memory: 27783 loss: 0.1977 loss_text: 0.1352 loss_kernel: 0.0625 2022/11/02 00:52:01 - mmengine - INFO - Epoch(train) [273][15/63] lr: 1.0000e-05 eta: 13:36:32 time: 0.9368 data_time: 0.0244 memory: 27783 loss: 0.2032 loss_text: 0.1393 loss_kernel: 0.0638 2022/11/02 00:52:05 - mmengine - INFO - Epoch(train) [273][20/63] lr: 1.0000e-05 eta: 13:35:51 time: 0.9281 data_time: 0.0223 memory: 27783 loss: 0.1978 loss_text: 0.1350 loss_kernel: 0.0628 2022/11/02 00:52:11 - mmengine - INFO - Epoch(train) [273][25/63] lr: 1.0000e-05 eta: 13:35:51 time: 1.0143 data_time: 0.0324 memory: 27783 loss: 0.1982 loss_text: 0.1348 loss_kernel: 0.0635 2022/11/02 00:52:15 - mmengine - INFO - Epoch(train) [273][30/63] lr: 1.0000e-05 eta: 13:35:11 time: 1.0031 data_time: 0.0209 memory: 27783 loss: 0.2058 loss_text: 0.1408 loss_kernel: 0.0651 2022/11/02 00:52:20 - mmengine - INFO - Epoch(train) [273][35/63] lr: 1.0000e-05 eta: 13:35:11 time: 0.9125 data_time: 0.0165 memory: 27783 loss: 0.2003 loss_text: 0.1374 loss_kernel: 0.0629 2022/11/02 00:52:25 - mmengine - INFO - Epoch(train) [273][40/63] lr: 1.0000e-05 eta: 13:34:29 time: 0.9127 data_time: 0.0200 memory: 27783 loss: 0.1847 loss_text: 0.1263 loss_kernel: 0.0584 2022/11/02 00:52:29 - mmengine - INFO - Epoch(train) [273][45/63] lr: 1.0000e-05 eta: 13:34:29 time: 0.9339 data_time: 0.0262 memory: 27783 loss: 0.1631 loss_text: 0.1112 loss_kernel: 0.0518 2022/11/02 00:52:35 - mmengine - INFO - Epoch(train) [273][50/63] lr: 1.0000e-05 eta: 13:33:50 time: 1.0158 data_time: 0.0298 memory: 27783 loss: 0.1667 loss_text: 0.1133 loss_kernel: 0.0534 2022/11/02 00:52:39 - mmengine - INFO - Epoch(train) [273][55/63] lr: 1.0000e-05 eta: 13:33:50 time: 0.9815 data_time: 0.0179 memory: 27783 loss: 0.2339 loss_text: 0.1605 loss_kernel: 0.0735 2022/11/02 00:52:44 - mmengine - INFO - Epoch(train) [273][60/63] lr: 1.0000e-05 eta: 13:33:09 time: 0.9278 data_time: 0.0246 memory: 27783 loss: 0.2267 loss_text: 0.1562 loss_kernel: 0.0705 2022/11/02 00:52:47 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:54:26 - mmengine - INFO - Epoch(train) [274][5/63] lr: 1.0000e-05 eta: 13:33:09 time: 10.4172 data_time: 9.4732 memory: 27783 loss: 0.1961 loss_text: 0.1346 loss_kernel: 0.0615 2022/11/02 00:54:31 - mmengine - INFO - Epoch(train) [274][10/63] lr: 1.0000e-05 eta: 13:34:06 time: 10.4250 data_time: 9.4819 memory: 27783 loss: 0.1749 loss_text: 0.1205 loss_kernel: 0.0544 2022/11/02 00:54:36 - mmengine - INFO - Epoch(train) [274][15/63] lr: 1.0000e-05 eta: 13:34:06 time: 0.9456 data_time: 0.0202 memory: 27783 loss: 0.2042 loss_text: 0.1415 loss_kernel: 0.0628 2022/11/02 00:54:41 - mmengine - INFO - Epoch(train) [274][20/63] lr: 1.0000e-05 eta: 13:33:25 time: 0.9406 data_time: 0.0198 memory: 27783 loss: 0.1674 loss_text: 0.1153 loss_kernel: 0.0521 2022/11/02 00:54:45 - mmengine - INFO - Epoch(train) [274][25/63] lr: 1.0000e-05 eta: 13:33:25 time: 0.9341 data_time: 0.0226 memory: 27783 loss: 0.1438 loss_text: 0.0984 loss_kernel: 0.0455 2022/11/02 00:54:50 - mmengine - INFO - Epoch(train) [274][30/63] lr: 1.0000e-05 eta: 13:32:44 time: 0.9380 data_time: 0.0180 memory: 27783 loss: 0.1914 loss_text: 0.1315 loss_kernel: 0.0599 2022/11/02 00:54:55 - mmengine - INFO - Epoch(train) [274][35/63] lr: 1.0000e-05 eta: 13:32:44 time: 0.9570 data_time: 0.0240 memory: 27783 loss: 0.1896 loss_text: 0.1298 loss_kernel: 0.0598 2022/11/02 00:54:59 - mmengine - INFO - Epoch(train) [274][40/63] lr: 1.0000e-05 eta: 13:32:03 time: 0.9075 data_time: 0.0187 memory: 27783 loss: 0.2337 loss_text: 0.1602 loss_kernel: 0.0735 2022/11/02 00:55:04 - mmengine - INFO - Epoch(train) [274][45/63] lr: 1.0000e-05 eta: 13:32:03 time: 0.9098 data_time: 0.0201 memory: 27783 loss: 0.2401 loss_text: 0.1649 loss_kernel: 0.0752 2022/11/02 00:55:09 - mmengine - INFO - Epoch(train) [274][50/63] lr: 1.0000e-05 eta: 13:31:22 time: 0.9432 data_time: 0.0240 memory: 27783 loss: 0.2080 loss_text: 0.1437 loss_kernel: 0.0643 2022/11/02 00:55:13 - mmengine - INFO - Epoch(train) [274][55/63] lr: 1.0000e-05 eta: 13:31:22 time: 0.9269 data_time: 0.0173 memory: 27783 loss: 0.2027 loss_text: 0.1394 loss_kernel: 0.0634 2022/11/02 00:55:18 - mmengine - INFO - Epoch(train) [274][60/63] lr: 1.0000e-05 eta: 13:30:41 time: 0.9198 data_time: 0.0203 memory: 27783 loss: 0.2093 loss_text: 0.1431 loss_kernel: 0.0662 2022/11/02 00:55:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:56:59 - mmengine - INFO - Epoch(train) [275][5/63] lr: 1.0000e-05 eta: 13:30:41 time: 10.3287 data_time: 9.4724 memory: 27783 loss: 0.2007 loss_text: 0.1366 loss_kernel: 0.0641 2022/11/02 00:57:04 - mmengine - INFO - Epoch(train) [275][10/63] lr: 1.0000e-05 eta: 13:31:37 time: 10.3795 data_time: 9.4756 memory: 27783 loss: 0.1781 loss_text: 0.1204 loss_kernel: 0.0577 2022/11/02 00:57:08 - mmengine - INFO - Epoch(train) [275][15/63] lr: 1.0000e-05 eta: 13:31:37 time: 0.9292 data_time: 0.0243 memory: 27783 loss: 0.1582 loss_text: 0.1066 loss_kernel: 0.0515 2022/11/02 00:57:13 - mmengine - INFO - Epoch(train) [275][20/63] lr: 1.0000e-05 eta: 13:30:57 time: 0.9510 data_time: 0.0312 memory: 27783 loss: 0.1996 loss_text: 0.1360 loss_kernel: 0.0636 2022/11/02 00:57:18 - mmengine - INFO - Epoch(train) [275][25/63] lr: 1.0000e-05 eta: 13:30:57 time: 0.9365 data_time: 0.0222 memory: 27783 loss: 0.2044 loss_text: 0.1398 loss_kernel: 0.0646 2022/11/02 00:57:22 - mmengine - INFO - Epoch(train) [275][30/63] lr: 1.0000e-05 eta: 13:30:16 time: 0.9122 data_time: 0.0173 memory: 27783 loss: 0.2066 loss_text: 0.1422 loss_kernel: 0.0644 2022/11/02 00:57:27 - mmengine - INFO - Epoch(train) [275][35/63] lr: 1.0000e-05 eta: 13:30:16 time: 0.9364 data_time: 0.0321 memory: 27783 loss: 0.1987 loss_text: 0.1362 loss_kernel: 0.0625 2022/11/02 00:57:32 - mmengine - INFO - Epoch(train) [275][40/63] lr: 1.0000e-05 eta: 13:29:35 time: 0.9271 data_time: 0.0223 memory: 27783 loss: 0.1876 loss_text: 0.1285 loss_kernel: 0.0591 2022/11/02 00:57:36 - mmengine - INFO - Epoch(train) [275][45/63] lr: 1.0000e-05 eta: 13:29:35 time: 0.9240 data_time: 0.0187 memory: 27783 loss: 0.1980 loss_text: 0.1373 loss_kernel: 0.0607 2022/11/02 00:57:41 - mmengine - INFO - Epoch(train) [275][50/63] lr: 1.0000e-05 eta: 13:28:54 time: 0.9230 data_time: 0.0208 memory: 27783 loss: 0.1978 loss_text: 0.1369 loss_kernel: 0.0608 2022/11/02 00:57:45 - mmengine - INFO - Epoch(train) [275][55/63] lr: 1.0000e-05 eta: 13:28:54 time: 0.9029 data_time: 0.0160 memory: 27783 loss: 0.1981 loss_text: 0.1366 loss_kernel: 0.0615 2022/11/02 00:57:50 - mmengine - INFO - Epoch(train) [275][60/63] lr: 1.0000e-05 eta: 13:28:13 time: 0.8949 data_time: 0.0190 memory: 27783 loss: 0.2113 loss_text: 0.1453 loss_kernel: 0.0660 2022/11/02 00:57:52 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 00:59:31 - mmengine - INFO - Epoch(train) [276][5/63] lr: 1.0000e-05 eta: 13:28:13 time: 10.3188 data_time: 9.4778 memory: 27783 loss: 0.2008 loss_text: 0.1380 loss_kernel: 0.0628 2022/11/02 00:59:36 - mmengine - INFO - Epoch(train) [276][10/63] lr: 1.0000e-05 eta: 13:29:08 time: 10.3829 data_time: 9.4863 memory: 27783 loss: 0.2152 loss_text: 0.1474 loss_kernel: 0.0678 2022/11/02 00:59:41 - mmengine - INFO - Epoch(train) [276][15/63] lr: 1.0000e-05 eta: 13:29:08 time: 0.9604 data_time: 0.0223 memory: 27783 loss: 0.1932 loss_text: 0.1319 loss_kernel: 0.0614 2022/11/02 00:59:46 - mmengine - INFO - Epoch(train) [276][20/63] lr: 1.0000e-05 eta: 13:28:28 time: 0.9591 data_time: 0.0163 memory: 27783 loss: 0.2064 loss_text: 0.1413 loss_kernel: 0.0651 2022/11/02 00:59:50 - mmengine - INFO - Epoch(train) [276][25/63] lr: 1.0000e-05 eta: 13:28:28 time: 0.9093 data_time: 0.0250 memory: 27783 loss: 0.2447 loss_text: 0.1680 loss_kernel: 0.0766 2022/11/02 00:59:55 - mmengine - INFO - Epoch(train) [276][30/63] lr: 1.0000e-05 eta: 13:27:47 time: 0.8950 data_time: 0.0176 memory: 27783 loss: 0.2224 loss_text: 0.1529 loss_kernel: 0.0695 2022/11/02 00:59:59 - mmengine - INFO - Epoch(train) [276][35/63] lr: 1.0000e-05 eta: 13:27:47 time: 0.9134 data_time: 0.0193 memory: 27783 loss: 0.1788 loss_text: 0.1231 loss_kernel: 0.0557 2022/11/02 01:00:04 - mmengine - INFO - Epoch(train) [276][40/63] lr: 1.0000e-05 eta: 13:27:06 time: 0.9186 data_time: 0.0205 memory: 27783 loss: 0.1617 loss_text: 0.1107 loss_kernel: 0.0510 2022/11/02 01:00:08 - mmengine - INFO - Epoch(train) [276][45/63] lr: 1.0000e-05 eta: 13:27:06 time: 0.9152 data_time: 0.0200 memory: 27783 loss: 0.1612 loss_text: 0.1099 loss_kernel: 0.0513 2022/11/02 01:00:13 - mmengine - INFO - Epoch(train) [276][50/63] lr: 1.0000e-05 eta: 13:26:25 time: 0.9231 data_time: 0.0292 memory: 27783 loss: 0.2078 loss_text: 0.1423 loss_kernel: 0.0656 2022/11/02 01:00:18 - mmengine - INFO - Epoch(train) [276][55/63] lr: 1.0000e-05 eta: 13:26:25 time: 0.9648 data_time: 0.0189 memory: 27783 loss: 0.2018 loss_text: 0.1377 loss_kernel: 0.0641 2022/11/02 01:00:23 - mmengine - INFO - Epoch(train) [276][60/63] lr: 1.0000e-05 eta: 13:25:45 time: 0.9473 data_time: 0.0140 memory: 27783 loss: 0.1968 loss_text: 0.1345 loss_kernel: 0.0623 2022/11/02 01:00:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:02:04 - mmengine - INFO - Epoch(train) [277][5/63] lr: 1.0000e-05 eta: 13:25:45 time: 10.3186 data_time: 9.4518 memory: 27783 loss: 0.1801 loss_text: 0.1234 loss_kernel: 0.0567 2022/11/02 01:02:09 - mmengine - INFO - Epoch(train) [277][10/63] lr: 1.0000e-05 eta: 13:26:40 time: 10.3948 data_time: 9.4613 memory: 27783 loss: 0.2029 loss_text: 0.1392 loss_kernel: 0.0637 2022/11/02 01:02:14 - mmengine - INFO - Epoch(train) [277][15/63] lr: 1.0000e-05 eta: 13:26:40 time: 0.9487 data_time: 0.0216 memory: 27783 loss: 0.2230 loss_text: 0.1536 loss_kernel: 0.0694 2022/11/02 01:02:18 - mmengine - INFO - Epoch(train) [277][20/63] lr: 1.0000e-05 eta: 13:25:59 time: 0.9217 data_time: 0.0204 memory: 27783 loss: 0.2098 loss_text: 0.1442 loss_kernel: 0.0656 2022/11/02 01:02:22 - mmengine - INFO - Epoch(train) [277][25/63] lr: 1.0000e-05 eta: 13:25:59 time: 0.8923 data_time: 0.0186 memory: 27783 loss: 0.1861 loss_text: 0.1268 loss_kernel: 0.0592 2022/11/02 01:02:27 - mmengine - INFO - Epoch(train) [277][30/63] lr: 1.0000e-05 eta: 13:25:18 time: 0.8941 data_time: 0.0184 memory: 27783 loss: 0.1950 loss_text: 0.1328 loss_kernel: 0.0623 2022/11/02 01:02:32 - mmengine - INFO - Epoch(train) [277][35/63] lr: 1.0000e-05 eta: 13:25:18 time: 0.9388 data_time: 0.0234 memory: 27783 loss: 0.1877 loss_text: 0.1294 loss_kernel: 0.0584 2022/11/02 01:02:37 - mmengine - INFO - Epoch(train) [277][40/63] lr: 1.0000e-05 eta: 13:24:38 time: 0.9540 data_time: 0.0197 memory: 27783 loss: 0.1936 loss_text: 0.1347 loss_kernel: 0.0588 2022/11/02 01:02:41 - mmengine - INFO - Epoch(train) [277][45/63] lr: 1.0000e-05 eta: 13:24:38 time: 0.9369 data_time: 0.0201 memory: 27783 loss: 0.2079 loss_text: 0.1436 loss_kernel: 0.0644 2022/11/02 01:02:46 - mmengine - INFO - Epoch(train) [277][50/63] lr: 1.0000e-05 eta: 13:23:57 time: 0.9155 data_time: 0.0206 memory: 27783 loss: 0.2172 loss_text: 0.1498 loss_kernel: 0.0675 2022/11/02 01:02:50 - mmengine - INFO - Epoch(train) [277][55/63] lr: 1.0000e-05 eta: 13:23:57 time: 0.9056 data_time: 0.0209 memory: 27783 loss: 0.1932 loss_text: 0.1325 loss_kernel: 0.0607 2022/11/02 01:02:55 - mmengine - INFO - Epoch(train) [277][60/63] lr: 1.0000e-05 eta: 13:23:17 time: 0.9209 data_time: 0.0192 memory: 27783 loss: 0.1753 loss_text: 0.1201 loss_kernel: 0.0552 2022/11/02 01:02:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:04:37 - mmengine - INFO - Epoch(train) [278][5/63] lr: 1.0000e-05 eta: 13:23:17 time: 10.3274 data_time: 9.4756 memory: 27783 loss: 0.1805 loss_text: 0.1240 loss_kernel: 0.0565 2022/11/02 01:04:41 - mmengine - INFO - Epoch(train) [278][10/63] lr: 1.0000e-05 eta: 13:24:11 time: 10.3889 data_time: 9.4843 memory: 27783 loss: 0.1871 loss_text: 0.1284 loss_kernel: 0.0587 2022/11/02 01:04:46 - mmengine - INFO - Epoch(train) [278][15/63] lr: 1.0000e-05 eta: 13:24:11 time: 0.9085 data_time: 0.0205 memory: 27783 loss: 0.1843 loss_text: 0.1269 loss_kernel: 0.0575 2022/11/02 01:04:51 - mmengine - INFO - Epoch(train) [278][20/63] lr: 1.0000e-05 eta: 13:23:31 time: 0.9924 data_time: 0.0222 memory: 27783 loss: 0.1677 loss_text: 0.1151 loss_kernel: 0.0526 2022/11/02 01:04:56 - mmengine - INFO - Epoch(train) [278][25/63] lr: 1.0000e-05 eta: 13:23:31 time: 1.0012 data_time: 0.0286 memory: 27783 loss: 0.1753 loss_text: 0.1204 loss_kernel: 0.0548 2022/11/02 01:05:00 - mmengine - INFO - Epoch(train) [278][30/63] lr: 1.0000e-05 eta: 13:22:51 time: 0.9195 data_time: 0.0185 memory: 27783 loss: 0.1960 loss_text: 0.1351 loss_kernel: 0.0609 2022/11/02 01:05:05 - mmengine - INFO - Epoch(train) [278][35/63] lr: 1.0000e-05 eta: 13:22:51 time: 0.9466 data_time: 0.0204 memory: 27783 loss: 0.2016 loss_text: 0.1384 loss_kernel: 0.0632 2022/11/02 01:05:10 - mmengine - INFO - Epoch(train) [278][40/63] lr: 1.0000e-05 eta: 13:22:10 time: 0.9328 data_time: 0.0201 memory: 27783 loss: 0.2069 loss_text: 0.1423 loss_kernel: 0.0646 2022/11/02 01:05:14 - mmengine - INFO - Epoch(train) [278][45/63] lr: 1.0000e-05 eta: 13:22:10 time: 0.9324 data_time: 0.0212 memory: 27783 loss: 0.2351 loss_text: 0.1618 loss_kernel: 0.0734 2022/11/02 01:05:19 - mmengine - INFO - Epoch(train) [278][50/63] lr: 1.0000e-05 eta: 13:21:30 time: 0.9435 data_time: 0.0272 memory: 27783 loss: 0.2361 loss_text: 0.1618 loss_kernel: 0.0743 2022/11/02 01:05:24 - mmengine - INFO - Epoch(train) [278][55/63] lr: 1.0000e-05 eta: 13:21:30 time: 0.9159 data_time: 0.0190 memory: 27783 loss: 0.1987 loss_text: 0.1359 loss_kernel: 0.0628 2022/11/02 01:05:29 - mmengine - INFO - Epoch(train) [278][60/63] lr: 1.0000e-05 eta: 13:20:50 time: 0.9579 data_time: 0.0169 memory: 27783 loss: 0.1832 loss_text: 0.1260 loss_kernel: 0.0572 2022/11/02 01:05:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:07:10 - mmengine - INFO - Epoch(train) [279][5/63] lr: 1.0000e-05 eta: 13:20:50 time: 10.3469 data_time: 9.4722 memory: 27783 loss: 0.1619 loss_text: 0.1102 loss_kernel: 0.0517 2022/11/02 01:07:15 - mmengine - INFO - Epoch(train) [279][10/63] lr: 1.0000e-05 eta: 13:21:44 time: 10.4184 data_time: 9.4833 memory: 27783 loss: 0.2246 loss_text: 0.1554 loss_kernel: 0.0691 2022/11/02 01:07:20 - mmengine - INFO - Epoch(train) [279][15/63] lr: 1.0000e-05 eta: 13:21:44 time: 0.9318 data_time: 0.0218 memory: 27783 loss: 0.2411 loss_text: 0.1675 loss_kernel: 0.0735 2022/11/02 01:07:25 - mmengine - INFO - Epoch(train) [279][20/63] lr: 1.0000e-05 eta: 13:21:04 time: 0.9375 data_time: 0.0234 memory: 27783 loss: 0.2078 loss_text: 0.1443 loss_kernel: 0.0635 2022/11/02 01:07:29 - mmengine - INFO - Epoch(train) [279][25/63] lr: 1.0000e-05 eta: 13:21:04 time: 0.9438 data_time: 0.0303 memory: 27783 loss: 0.1810 loss_text: 0.1250 loss_kernel: 0.0560 2022/11/02 01:07:34 - mmengine - INFO - Epoch(train) [279][30/63] lr: 1.0000e-05 eta: 13:20:23 time: 0.9275 data_time: 0.0178 memory: 27783 loss: 0.1737 loss_text: 0.1183 loss_kernel: 0.0554 2022/11/02 01:07:39 - mmengine - INFO - Epoch(train) [279][35/63] lr: 1.0000e-05 eta: 13:20:23 time: 0.9396 data_time: 0.0193 memory: 27783 loss: 0.1738 loss_text: 0.1197 loss_kernel: 0.0541 2022/11/02 01:07:43 - mmengine - INFO - Epoch(train) [279][40/63] lr: 1.0000e-05 eta: 13:19:43 time: 0.9412 data_time: 0.0209 memory: 27783 loss: 0.1708 loss_text: 0.1185 loss_kernel: 0.0523 2022/11/02 01:07:48 - mmengine - INFO - Epoch(train) [279][45/63] lr: 1.0000e-05 eta: 13:19:43 time: 0.9453 data_time: 0.0214 memory: 27783 loss: 0.2375 loss_text: 0.1637 loss_kernel: 0.0738 2022/11/02 01:07:53 - mmengine - INFO - Epoch(train) [279][50/63] lr: 1.0000e-05 eta: 13:19:03 time: 0.9323 data_time: 0.0291 memory: 27783 loss: 0.2324 loss_text: 0.1595 loss_kernel: 0.0729 2022/11/02 01:07:57 - mmengine - INFO - Epoch(train) [279][55/63] lr: 1.0000e-05 eta: 13:19:03 time: 0.9013 data_time: 0.0179 memory: 27783 loss: 0.1826 loss_text: 0.1243 loss_kernel: 0.0583 2022/11/02 01:08:02 - mmengine - INFO - Epoch(train) [279][60/63] lr: 1.0000e-05 eta: 13:18:23 time: 0.9403 data_time: 0.0141 memory: 27783 loss: 0.1821 loss_text: 0.1247 loss_kernel: 0.0574 2022/11/02 01:08:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:09:44 - mmengine - INFO - Epoch(train) [280][5/63] lr: 1.0000e-05 eta: 13:18:23 time: 10.3757 data_time: 9.4474 memory: 27783 loss: 0.2023 loss_text: 0.1383 loss_kernel: 0.0640 2022/11/02 01:09:49 - mmengine - INFO - Epoch(train) [280][10/63] lr: 1.0000e-05 eta: 13:19:17 time: 10.4319 data_time: 9.4684 memory: 27783 loss: 0.1925 loss_text: 0.1325 loss_kernel: 0.0600 2022/11/02 01:09:54 - mmengine - INFO - Epoch(train) [280][15/63] lr: 1.0000e-05 eta: 13:19:17 time: 0.9803 data_time: 0.0277 memory: 27783 loss: 0.1838 loss_text: 0.1263 loss_kernel: 0.0576 2022/11/02 01:09:58 - mmengine - INFO - Epoch(train) [280][20/63] lr: 1.0000e-05 eta: 13:18:36 time: 0.9347 data_time: 0.0172 memory: 27783 loss: 0.2086 loss_text: 0.1432 loss_kernel: 0.0654 2022/11/02 01:10:03 - mmengine - INFO - Epoch(train) [280][25/63] lr: 1.0000e-05 eta: 13:18:36 time: 0.9368 data_time: 0.0317 memory: 27783 loss: 0.1906 loss_text: 0.1302 loss_kernel: 0.0604 2022/11/02 01:10:08 - mmengine - INFO - Epoch(train) [280][30/63] lr: 1.0000e-05 eta: 13:17:56 time: 0.9540 data_time: 0.0235 memory: 27783 loss: 0.1992 loss_text: 0.1365 loss_kernel: 0.0627 2022/11/02 01:10:13 - mmengine - INFO - Epoch(train) [280][35/63] lr: 1.0000e-05 eta: 13:17:56 time: 0.9516 data_time: 0.0198 memory: 27783 loss: 0.2233 loss_text: 0.1540 loss_kernel: 0.0692 2022/11/02 01:10:17 - mmengine - INFO - Epoch(train) [280][40/63] lr: 1.0000e-05 eta: 13:17:16 time: 0.9129 data_time: 0.0182 memory: 27783 loss: 0.2509 loss_text: 0.1741 loss_kernel: 0.0767 2022/11/02 01:10:22 - mmengine - INFO - Epoch(train) [280][45/63] lr: 1.0000e-05 eta: 13:17:16 time: 0.9001 data_time: 0.0155 memory: 27783 loss: 0.2486 loss_text: 0.1726 loss_kernel: 0.0760 2022/11/02 01:10:26 - mmengine - INFO - Epoch(train) [280][50/63] lr: 1.0000e-05 eta: 13:16:36 time: 0.9101 data_time: 0.0276 memory: 27783 loss: 0.2309 loss_text: 0.1604 loss_kernel: 0.0705 2022/11/02 01:10:31 - mmengine - INFO - Epoch(train) [280][55/63] lr: 1.0000e-05 eta: 13:16:36 time: 0.9167 data_time: 0.0208 memory: 27783 loss: 0.2321 loss_text: 0.1610 loss_kernel: 0.0711 2022/11/02 01:10:35 - mmengine - INFO - Epoch(train) [280][60/63] lr: 1.0000e-05 eta: 13:15:55 time: 0.9330 data_time: 0.0157 memory: 27783 loss: 0.2251 loss_text: 0.1554 loss_kernel: 0.0697 2022/11/02 01:10:38 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:10:38 - mmengine - INFO - Saving checkpoint at 280 epochs 2022/11/02 01:11:15 - mmengine - INFO - Epoch(val) [280][5/500] eta: 13:15:55 time: 3.2397 data_time: 3.1633 memory: 27783 2022/11/02 01:11:16 - mmengine - INFO - Epoch(val) [280][10/500] eta: 0:26:30 time: 3.2454 data_time: 3.1655 memory: 3208 2022/11/02 01:11:16 - mmengine - INFO - Epoch(val) [280][15/500] eta: 0:26:30 time: 0.0785 data_time: 0.0048 memory: 3208 2022/11/02 01:11:16 - mmengine - INFO - Epoch(val) [280][20/500] eta: 0:00:37 time: 0.0784 data_time: 0.0031 memory: 3208 2022/11/02 01:11:17 - mmengine - INFO - Epoch(val) [280][25/500] eta: 0:00:37 time: 0.0741 data_time: 0.0029 memory: 3208 2022/11/02 01:11:17 - mmengine - INFO - Epoch(val) [280][30/500] eta: 0:00:35 time: 0.0760 data_time: 0.0027 memory: 3208 2022/11/02 01:11:17 - mmengine - INFO - Epoch(val) [280][35/500] eta: 0:00:35 time: 0.0769 data_time: 0.0027 memory: 3208 2022/11/02 01:11:18 - mmengine - INFO - Epoch(val) [280][40/500] eta: 0:00:35 time: 0.0772 data_time: 0.0026 memory: 3208 2022/11/02 01:11:18 - mmengine - INFO - Epoch(val) [280][45/500] eta: 0:00:35 time: 0.0778 data_time: 0.0025 memory: 3208 2022/11/02 01:11:19 - mmengine - INFO - Epoch(val) [280][50/500] eta: 0:00:32 time: 0.0718 data_time: 0.0027 memory: 3208 2022/11/02 01:11:19 - mmengine - INFO - Epoch(val) [280][55/500] eta: 0:00:32 time: 0.0755 data_time: 0.0031 memory: 3208 2022/11/02 01:11:19 - mmengine - INFO - Epoch(val) [280][60/500] eta: 0:00:32 time: 0.0739 data_time: 0.0030 memory: 3208 2022/11/02 01:11:20 - mmengine - INFO - Epoch(val) [280][65/500] eta: 0:00:32 time: 0.0751 data_time: 0.0029 memory: 3208 2022/11/02 01:11:20 - mmengine - INFO - Epoch(val) [280][70/500] eta: 0:00:35 time: 0.0822 data_time: 0.0033 memory: 3208 2022/11/02 01:11:21 - mmengine - INFO - Epoch(val) [280][75/500] eta: 0:00:35 time: 0.0762 data_time: 0.0030 memory: 3208 2022/11/02 01:11:21 - mmengine - INFO - Epoch(val) [280][80/500] eta: 0:00:29 time: 0.0693 data_time: 0.0026 memory: 3208 2022/11/02 01:11:21 - mmengine - INFO - Epoch(val) [280][85/500] eta: 0:00:29 time: 0.0695 data_time: 0.0026 memory: 3208 2022/11/02 01:11:22 - mmengine - INFO - Epoch(val) [280][90/500] eta: 0:00:31 time: 0.0774 data_time: 0.0029 memory: 3208 2022/11/02 01:11:22 - mmengine - INFO - Epoch(val) [280][95/500] eta: 0:00:31 time: 0.0774 data_time: 0.0028 memory: 3208 2022/11/02 01:11:22 - mmengine - INFO - Epoch(val) [280][100/500] eta: 0:00:28 time: 0.0707 data_time: 0.0026 memory: 3208 2022/11/02 01:11:23 - mmengine - INFO - Epoch(val) [280][105/500] eta: 0:00:28 time: 0.0727 data_time: 0.0027 memory: 3208 2022/11/02 01:11:23 - mmengine - INFO - Epoch(val) [280][110/500] eta: 0:00:28 time: 0.0718 data_time: 0.0027 memory: 3208 2022/11/02 01:11:23 - mmengine - INFO - Epoch(val) [280][115/500] eta: 0:00:28 time: 0.0721 data_time: 0.0025 memory: 3208 2022/11/02 01:11:24 - mmengine - INFO - Epoch(val) [280][120/500] eta: 0:00:28 time: 0.0744 data_time: 0.0024 memory: 3208 2022/11/02 01:11:24 - mmengine - INFO - Epoch(val) [280][125/500] eta: 0:00:28 time: 0.0724 data_time: 0.0025 memory: 3208 2022/11/02 01:11:25 - mmengine - INFO - Epoch(val) [280][130/500] eta: 0:00:26 time: 0.0704 data_time: 0.0024 memory: 3208 2022/11/02 01:11:25 - mmengine - INFO - Epoch(val) [280][135/500] eta: 0:00:26 time: 0.0692 data_time: 0.0024 memory: 3208 2022/11/02 01:11:25 - mmengine - INFO - Epoch(val) [280][140/500] eta: 0:00:25 time: 0.0704 data_time: 0.0026 memory: 3208 2022/11/02 01:11:26 - mmengine - INFO - Epoch(val) [280][145/500] eta: 0:00:25 time: 0.0761 data_time: 0.0029 memory: 3208 2022/11/02 01:11:26 - mmengine - INFO - Epoch(val) [280][150/500] eta: 0:00:26 time: 0.0763 data_time: 0.0026 memory: 3208 2022/11/02 01:11:26 - mmengine - INFO - Epoch(val) [280][155/500] eta: 0:00:26 time: 0.0787 data_time: 0.0024 memory: 3208 2022/11/02 01:11:27 - mmengine - INFO - Epoch(val) [280][160/500] eta: 0:00:27 time: 0.0803 data_time: 0.0026 memory: 3208 2022/11/02 01:11:27 - mmengine - INFO - Epoch(val) [280][165/500] eta: 0:00:27 time: 0.0744 data_time: 0.0025 memory: 3208 2022/11/02 01:11:28 - mmengine - INFO - Epoch(val) [280][170/500] eta: 0:00:24 time: 0.0746 data_time: 0.0024 memory: 3208 2022/11/02 01:11:28 - mmengine - INFO - Epoch(val) [280][175/500] eta: 0:00:24 time: 0.0740 data_time: 0.0025 memory: 3208 2022/11/02 01:11:28 - mmengine - INFO - Epoch(val) [280][180/500] eta: 0:00:22 time: 0.0712 data_time: 0.0025 memory: 3208 2022/11/02 01:11:29 - mmengine - INFO - Epoch(val) [280][185/500] eta: 0:00:22 time: 0.0761 data_time: 0.0025 memory: 3208 2022/11/02 01:11:29 - mmengine - INFO - Epoch(val) [280][190/500] eta: 0:00:24 time: 0.0797 data_time: 0.0025 memory: 3208 2022/11/02 01:11:29 - mmengine - INFO - Epoch(val) [280][195/500] eta: 0:00:24 time: 0.0735 data_time: 0.0025 memory: 3208 2022/11/02 01:11:30 - mmengine - INFO - Epoch(val) [280][200/500] eta: 0:00:23 time: 0.0786 data_time: 0.0028 memory: 3208 2022/11/02 01:11:30 - mmengine - INFO - Epoch(val) [280][205/500] eta: 0:00:23 time: 0.0807 data_time: 0.0027 memory: 3208 2022/11/02 01:11:31 - mmengine - INFO - Epoch(val) [280][210/500] eta: 0:00:21 time: 0.0732 data_time: 0.0026 memory: 3208 2022/11/02 01:11:31 - mmengine - INFO - Epoch(val) [280][215/500] eta: 0:00:21 time: 0.0729 data_time: 0.0027 memory: 3208 2022/11/02 01:11:31 - mmengine - INFO - Epoch(val) [280][220/500] eta: 0:00:20 time: 0.0728 data_time: 0.0025 memory: 3208 2022/11/02 01:11:32 - mmengine - INFO - Epoch(val) [280][225/500] eta: 0:00:20 time: 0.0777 data_time: 0.0029 memory: 3208 2022/11/02 01:11:32 - mmengine - INFO - Epoch(val) [280][230/500] eta: 0:00:20 time: 0.0747 data_time: 0.0029 memory: 3208 2022/11/02 01:11:32 - mmengine - INFO - Epoch(val) [280][235/500] eta: 0:00:20 time: 0.0725 data_time: 0.0026 memory: 3208 2022/11/02 01:11:33 - mmengine - INFO - Epoch(val) [280][240/500] eta: 0:00:20 time: 0.0770 data_time: 0.0028 memory: 3208 2022/11/02 01:11:33 - mmengine - INFO - Epoch(val) [280][245/500] eta: 0:00:20 time: 0.0737 data_time: 0.0025 memory: 3208 2022/11/02 01:11:34 - mmengine - INFO - Epoch(val) [280][250/500] eta: 0:00:19 time: 0.0788 data_time: 0.0084 memory: 3208 2022/11/02 01:11:34 - mmengine - INFO - Epoch(val) [280][255/500] eta: 0:00:19 time: 0.0771 data_time: 0.0084 memory: 3208 2022/11/02 01:11:34 - mmengine - INFO - Epoch(val) [280][260/500] eta: 0:00:16 time: 0.0697 data_time: 0.0024 memory: 3208 2022/11/02 01:11:35 - mmengine - INFO - Epoch(val) [280][265/500] eta: 0:00:16 time: 0.0701 data_time: 0.0023 memory: 3208 2022/11/02 01:11:35 - mmengine - INFO - Epoch(val) [280][270/500] eta: 0:00:16 time: 0.0704 data_time: 0.0024 memory: 3208 2022/11/02 01:11:35 - mmengine - INFO - Epoch(val) [280][275/500] eta: 0:00:16 time: 0.0698 data_time: 0.0025 memory: 3208 2022/11/02 01:11:36 - mmengine - INFO - Epoch(val) [280][280/500] eta: 0:00:15 time: 0.0719 data_time: 0.0024 memory: 3208 2022/11/02 01:11:36 - mmengine - INFO - Epoch(val) [280][285/500] eta: 0:00:15 time: 0.0713 data_time: 0.0023 memory: 3208 2022/11/02 01:11:36 - mmengine - INFO - Epoch(val) [280][290/500] eta: 0:00:14 time: 0.0711 data_time: 0.0024 memory: 3208 2022/11/02 01:11:37 - mmengine - INFO - Epoch(val) [280][295/500] eta: 0:00:14 time: 0.0741 data_time: 0.0025 memory: 3208 2022/11/02 01:11:37 - mmengine - INFO - Epoch(val) [280][300/500] eta: 0:00:14 time: 0.0730 data_time: 0.0024 memory: 3208 2022/11/02 01:11:37 - mmengine - INFO - Epoch(val) [280][305/500] eta: 0:00:14 time: 0.0710 data_time: 0.0023 memory: 3208 2022/11/02 01:11:38 - mmengine - INFO - Epoch(val) [280][310/500] eta: 0:00:13 time: 0.0717 data_time: 0.0024 memory: 3208 2022/11/02 01:11:38 - mmengine - INFO - Epoch(val) [280][315/500] eta: 0:00:13 time: 0.0752 data_time: 0.0024 memory: 3208 2022/11/02 01:11:39 - mmengine - INFO - Epoch(val) [280][320/500] eta: 0:00:13 time: 0.0727 data_time: 0.0023 memory: 3208 2022/11/02 01:11:39 - mmengine - INFO - Epoch(val) [280][325/500] eta: 0:00:13 time: 0.0835 data_time: 0.0024 memory: 3208 2022/11/02 01:11:39 - mmengine - INFO - Epoch(val) [280][330/500] eta: 0:00:14 time: 0.0853 data_time: 0.0026 memory: 3208 2022/11/02 01:11:40 - mmengine - INFO - Epoch(val) [280][335/500] eta: 0:00:14 time: 0.0719 data_time: 0.0026 memory: 3208 2022/11/02 01:11:40 - mmengine - INFO - Epoch(val) [280][340/500] eta: 0:00:13 time: 0.0855 data_time: 0.0030 memory: 3208 2022/11/02 01:11:41 - mmengine - INFO - Epoch(val) [280][345/500] eta: 0:00:13 time: 0.0916 data_time: 0.0039 memory: 3208 2022/11/02 01:11:41 - mmengine - INFO - Epoch(val) [280][350/500] eta: 0:00:13 time: 0.0868 data_time: 0.0037 memory: 3208 2022/11/02 01:11:42 - mmengine - INFO - Epoch(val) [280][355/500] eta: 0:00:13 time: 0.0832 data_time: 0.0034 memory: 3208 2022/11/02 01:11:42 - mmengine - INFO - Epoch(val) [280][360/500] eta: 0:00:10 time: 0.0778 data_time: 0.0037 memory: 3208 2022/11/02 01:11:42 - mmengine - INFO - Epoch(val) [280][365/500] eta: 0:00:10 time: 0.0782 data_time: 0.0034 memory: 3208 2022/11/02 01:11:43 - mmengine - INFO - Epoch(val) [280][370/500] eta: 0:00:09 time: 0.0764 data_time: 0.0031 memory: 3208 2022/11/02 01:11:43 - mmengine - INFO - Epoch(val) [280][375/500] eta: 0:00:09 time: 0.0715 data_time: 0.0027 memory: 3208 2022/11/02 01:11:43 - mmengine - INFO - Epoch(val) [280][380/500] eta: 0:00:08 time: 0.0735 data_time: 0.0028 memory: 3208 2022/11/02 01:11:44 - mmengine - INFO - Epoch(val) [280][385/500] eta: 0:00:08 time: 0.0796 data_time: 0.0033 memory: 3208 2022/11/02 01:11:44 - mmengine - INFO - Epoch(val) [280][390/500] eta: 0:00:08 time: 0.0750 data_time: 0.0030 memory: 3208 2022/11/02 01:11:45 - mmengine - INFO - Epoch(val) [280][395/500] eta: 0:00:08 time: 0.0726 data_time: 0.0027 memory: 3208 2022/11/02 01:11:45 - mmengine - INFO - Epoch(val) [280][400/500] eta: 0:00:07 time: 0.0751 data_time: 0.0028 memory: 3208 2022/11/02 01:11:45 - mmengine - INFO - Epoch(val) [280][405/500] eta: 0:00:07 time: 0.0732 data_time: 0.0026 memory: 3208 2022/11/02 01:11:46 - mmengine - INFO - Epoch(val) [280][410/500] eta: 0:00:06 time: 0.0743 data_time: 0.0026 memory: 3208 2022/11/02 01:11:46 - mmengine - INFO - Epoch(val) [280][415/500] eta: 0:00:06 time: 0.0748 data_time: 0.0027 memory: 3208 2022/11/02 01:11:46 - mmengine - INFO - Epoch(val) [280][420/500] eta: 0:00:05 time: 0.0685 data_time: 0.0027 memory: 3208 2022/11/02 01:11:47 - mmengine - INFO - Epoch(val) [280][425/500] eta: 0:00:05 time: 0.0735 data_time: 0.0027 memory: 3208 2022/11/02 01:11:47 - mmengine - INFO - Epoch(val) [280][430/500] eta: 0:00:05 time: 0.0790 data_time: 0.0029 memory: 3208 2022/11/02 01:11:48 - mmengine - INFO - Epoch(val) [280][435/500] eta: 0:00:05 time: 0.0737 data_time: 0.0028 memory: 3208 2022/11/02 01:11:48 - mmengine - INFO - Epoch(val) [280][440/500] eta: 0:00:04 time: 0.0718 data_time: 0.0025 memory: 3208 2022/11/02 01:11:48 - mmengine - INFO - Epoch(val) [280][445/500] eta: 0:00:04 time: 0.0755 data_time: 0.0025 memory: 3208 2022/11/02 01:11:49 - mmengine - INFO - Epoch(val) [280][450/500] eta: 0:00:03 time: 0.0760 data_time: 0.0025 memory: 3208 2022/11/02 01:11:49 - mmengine - INFO - Epoch(val) [280][455/500] eta: 0:00:03 time: 0.0856 data_time: 0.0163 memory: 3208 2022/11/02 01:11:49 - mmengine - INFO - Epoch(val) [280][460/500] eta: 0:00:03 time: 0.0815 data_time: 0.0163 memory: 3208 2022/11/02 01:11:50 - mmengine - INFO - Epoch(val) [280][465/500] eta: 0:00:03 time: 0.0698 data_time: 0.0026 memory: 3208 2022/11/02 01:11:50 - mmengine - INFO - Epoch(val) [280][470/500] eta: 0:00:02 time: 0.0714 data_time: 0.0026 memory: 3208 2022/11/02 01:11:51 - mmengine - INFO - Epoch(val) [280][475/500] eta: 0:00:02 time: 0.0669 data_time: 0.0025 memory: 3208 2022/11/02 01:11:51 - mmengine - INFO - Epoch(val) [280][480/500] eta: 0:00:01 time: 0.0676 data_time: 0.0024 memory: 3208 2022/11/02 01:11:51 - mmengine - INFO - Epoch(val) [280][485/500] eta: 0:00:01 time: 0.0688 data_time: 0.0023 memory: 3208 2022/11/02 01:11:52 - mmengine - INFO - Epoch(val) [280][490/500] eta: 0:00:00 time: 0.0716 data_time: 0.0023 memory: 3208 2022/11/02 01:11:52 - mmengine - INFO - Epoch(val) [280][495/500] eta: 0:00:00 time: 0.0754 data_time: 0.0024 memory: 3208 2022/11/02 01:11:52 - mmengine - INFO - Epoch(val) [280][500/500] eta: 0:00:00 time: 0.0720 data_time: 0.0025 memory: 3208 2022/11/02 01:11:52 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 01:11:52 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8305, precision: 0.7193, hmean: 0.7709 2022/11/02 01:11:52 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8305, precision: 0.7193, hmean: 0.7709 2022/11/02 01:11:52 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8305, precision: 0.7193, hmean: 0.7709 2022/11/02 01:11:52 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8305, precision: 0.7582, hmean: 0.7927 2022/11/02 01:11:52 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8291, precision: 0.7976, hmean: 0.8130 2022/11/02 01:11:52 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8247, precision: 0.8348, hmean: 0.8297 2022/11/02 01:11:52 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.8036, precision: 0.8826, hmean: 0.8412 2022/11/02 01:11:52 - mmengine - INFO - Epoch(val) [280][500/500] icdar/precision: 0.8826 icdar/recall: 0.8036 icdar/hmean: 0.8412 2022/11/02 01:13:32 - mmengine - INFO - Epoch(train) [281][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 10.3323 data_time: 9.4775 memory: 27783 loss: 0.2009 loss_text: 0.1383 loss_kernel: 0.0626 2022/11/02 01:13:36 - mmengine - INFO - Epoch(train) [281][10/63] lr: 1.0000e-05 eta: 13:16:48 time: 10.3910 data_time: 9.4880 memory: 27783 loss: 0.1934 loss_text: 0.1334 loss_kernel: 0.0600 2022/11/02 01:13:41 - mmengine - INFO - Epoch(train) [281][15/63] lr: 1.0000e-05 eta: 13:16:48 time: 0.9072 data_time: 0.0196 memory: 27783 loss: 0.1929 loss_text: 0.1317 loss_kernel: 0.0613 2022/11/02 01:13:45 - mmengine - INFO - Epoch(train) [281][20/63] lr: 1.0000e-05 eta: 13:16:08 time: 0.8950 data_time: 0.0189 memory: 27783 loss: 0.2171 loss_text: 0.1482 loss_kernel: 0.0688 2022/11/02 01:13:50 - mmengine - INFO - Epoch(train) [281][25/63] lr: 1.0000e-05 eta: 13:16:08 time: 0.8877 data_time: 0.0239 memory: 27783 loss: 0.1932 loss_text: 0.1324 loss_kernel: 0.0608 2022/11/02 01:13:54 - mmengine - INFO - Epoch(train) [281][30/63] lr: 1.0000e-05 eta: 13:15:27 time: 0.8760 data_time: 0.0154 memory: 27783 loss: 0.1811 loss_text: 0.1241 loss_kernel: 0.0569 2022/11/02 01:13:59 - mmengine - INFO - Epoch(train) [281][35/63] lr: 1.0000e-05 eta: 13:15:27 time: 0.8841 data_time: 0.0190 memory: 27783 loss: 0.2088 loss_text: 0.1436 loss_kernel: 0.0652 2022/11/02 01:14:03 - mmengine - INFO - Epoch(train) [281][40/63] lr: 1.0000e-05 eta: 13:14:46 time: 0.8817 data_time: 0.0183 memory: 27783 loss: 0.2071 loss_text: 0.1425 loss_kernel: 0.0646 2022/11/02 01:14:07 - mmengine - INFO - Epoch(train) [281][45/63] lr: 1.0000e-05 eta: 13:14:46 time: 0.8953 data_time: 0.0200 memory: 27783 loss: 0.2248 loss_text: 0.1556 loss_kernel: 0.0692 2022/11/02 01:14:12 - mmengine - INFO - Epoch(train) [281][50/63] lr: 1.0000e-05 eta: 13:14:06 time: 0.9125 data_time: 0.0275 memory: 27783 loss: 0.2085 loss_text: 0.1439 loss_kernel: 0.0646 2022/11/02 01:14:16 - mmengine - INFO - Epoch(train) [281][55/63] lr: 1.0000e-05 eta: 13:14:06 time: 0.8822 data_time: 0.0169 memory: 27783 loss: 0.1588 loss_text: 0.1078 loss_kernel: 0.0510 2022/11/02 01:14:21 - mmengine - INFO - Epoch(train) [281][60/63] lr: 1.0000e-05 eta: 13:13:25 time: 0.8712 data_time: 0.0161 memory: 27783 loss: 0.1580 loss_text: 0.1074 loss_kernel: 0.0506 2022/11/02 01:14:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:16:02 - mmengine - INFO - Epoch(train) [282][5/63] lr: 1.0000e-05 eta: 13:13:25 time: 10.3328 data_time: 9.5067 memory: 27783 loss: 0.1930 loss_text: 0.1321 loss_kernel: 0.0609 2022/11/02 01:16:07 - mmengine - INFO - Epoch(train) [282][10/63] lr: 1.0000e-05 eta: 13:14:17 time: 10.3838 data_time: 9.5183 memory: 27783 loss: 0.1969 loss_text: 0.1358 loss_kernel: 0.0611 2022/11/02 01:16:11 - mmengine - INFO - Epoch(train) [282][15/63] lr: 1.0000e-05 eta: 13:14:17 time: 0.8756 data_time: 0.0202 memory: 27783 loss: 0.2022 loss_text: 0.1403 loss_kernel: 0.0619 2022/11/02 01:16:16 - mmengine - INFO - Epoch(train) [282][20/63] lr: 1.0000e-05 eta: 13:13:37 time: 0.8809 data_time: 0.0181 memory: 27783 loss: 0.1928 loss_text: 0.1326 loss_kernel: 0.0602 2022/11/02 01:16:20 - mmengine - INFO - Epoch(train) [282][25/63] lr: 1.0000e-05 eta: 13:13:37 time: 0.8938 data_time: 0.0242 memory: 27783 loss: 0.2069 loss_text: 0.1418 loss_kernel: 0.0651 2022/11/02 01:16:25 - mmengine - INFO - Epoch(train) [282][30/63] lr: 1.0000e-05 eta: 13:12:56 time: 0.9105 data_time: 0.0184 memory: 27783 loss: 0.2052 loss_text: 0.1408 loss_kernel: 0.0645 2022/11/02 01:16:29 - mmengine - INFO - Epoch(train) [282][35/63] lr: 1.0000e-05 eta: 13:12:56 time: 0.9226 data_time: 0.0308 memory: 27783 loss: 0.1846 loss_text: 0.1269 loss_kernel: 0.0577 2022/11/02 01:16:34 - mmengine - INFO - Epoch(train) [282][40/63] lr: 1.0000e-05 eta: 13:12:16 time: 0.8883 data_time: 0.0288 memory: 27783 loss: 0.1899 loss_text: 0.1304 loss_kernel: 0.0595 2022/11/02 01:16:38 - mmengine - INFO - Epoch(train) [282][45/63] lr: 1.0000e-05 eta: 13:12:16 time: 0.8732 data_time: 0.0191 memory: 27783 loss: 0.1837 loss_text: 0.1255 loss_kernel: 0.0582 2022/11/02 01:16:43 - mmengine - INFO - Epoch(train) [282][50/63] lr: 1.0000e-05 eta: 13:11:35 time: 0.8814 data_time: 0.0241 memory: 27783 loss: 0.1650 loss_text: 0.1124 loss_kernel: 0.0526 2022/11/02 01:16:47 - mmengine - INFO - Epoch(train) [282][55/63] lr: 1.0000e-05 eta: 13:11:35 time: 0.8809 data_time: 0.0171 memory: 27783 loss: 0.1695 loss_text: 0.1159 loss_kernel: 0.0536 2022/11/02 01:16:51 - mmengine - INFO - Epoch(train) [282][60/63] lr: 1.0000e-05 eta: 13:10:55 time: 0.8737 data_time: 0.0173 memory: 27783 loss: 0.1881 loss_text: 0.1291 loss_kernel: 0.0590 2022/11/02 01:16:53 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:18:33 - mmengine - INFO - Epoch(train) [283][5/63] lr: 1.0000e-05 eta: 13:10:55 time: 10.3168 data_time: 9.4606 memory: 27783 loss: 0.1647 loss_text: 0.1123 loss_kernel: 0.0524 2022/11/02 01:18:37 - mmengine - INFO - Epoch(train) [283][10/63] lr: 1.0000e-05 eta: 13:11:46 time: 10.3752 data_time: 9.4653 memory: 27783 loss: 0.1687 loss_text: 0.1158 loss_kernel: 0.0529 2022/11/02 01:18:42 - mmengine - INFO - Epoch(train) [283][15/63] lr: 1.0000e-05 eta: 13:11:46 time: 0.8963 data_time: 0.0237 memory: 27783 loss: 0.1925 loss_text: 0.1325 loss_kernel: 0.0600 2022/11/02 01:18:46 - mmengine - INFO - Epoch(train) [283][20/63] lr: 1.0000e-05 eta: 13:11:06 time: 0.9087 data_time: 0.0275 memory: 27783 loss: 0.2358 loss_text: 0.1629 loss_kernel: 0.0729 2022/11/02 01:18:51 - mmengine - INFO - Epoch(train) [283][25/63] lr: 1.0000e-05 eta: 13:11:06 time: 0.9012 data_time: 0.0219 memory: 27783 loss: 0.2058 loss_text: 0.1417 loss_kernel: 0.0642 2022/11/02 01:18:55 - mmengine - INFO - Epoch(train) [283][30/63] lr: 1.0000e-05 eta: 13:10:25 time: 0.8810 data_time: 0.0178 memory: 27783 loss: 0.1787 loss_text: 0.1223 loss_kernel: 0.0563 2022/11/02 01:19:00 - mmengine - INFO - Epoch(train) [283][35/63] lr: 1.0000e-05 eta: 13:10:25 time: 0.8868 data_time: 0.0174 memory: 27783 loss: 0.1867 loss_text: 0.1279 loss_kernel: 0.0589 2022/11/02 01:19:04 - mmengine - INFO - Epoch(train) [283][40/63] lr: 1.0000e-05 eta: 13:09:45 time: 0.8923 data_time: 0.0182 memory: 27783 loss: 0.1981 loss_text: 0.1362 loss_kernel: 0.0619 2022/11/02 01:19:09 - mmengine - INFO - Epoch(train) [283][45/63] lr: 1.0000e-05 eta: 13:09:45 time: 0.9123 data_time: 0.0223 memory: 27783 loss: 0.2179 loss_text: 0.1501 loss_kernel: 0.0677 2022/11/02 01:19:13 - mmengine - INFO - Epoch(train) [283][50/63] lr: 1.0000e-05 eta: 13:09:05 time: 0.9059 data_time: 0.0201 memory: 27783 loss: 0.2464 loss_text: 0.1703 loss_kernel: 0.0761 2022/11/02 01:19:18 - mmengine - INFO - Epoch(train) [283][55/63] lr: 1.0000e-05 eta: 13:09:05 time: 0.8768 data_time: 0.0196 memory: 27783 loss: 0.2487 loss_text: 0.1724 loss_kernel: 0.0764 2022/11/02 01:19:22 - mmengine - INFO - Epoch(train) [283][60/63] lr: 1.0000e-05 eta: 13:08:25 time: 0.8798 data_time: 0.0192 memory: 27783 loss: 0.1766 loss_text: 0.1220 loss_kernel: 0.0546 2022/11/02 01:19:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:21:04 - mmengine - INFO - Epoch(train) [284][5/63] lr: 1.0000e-05 eta: 13:08:25 time: 10.3341 data_time: 9.5186 memory: 27783 loss: 0.1752 loss_text: 0.1199 loss_kernel: 0.0553 2022/11/02 01:21:08 - mmengine - INFO - Epoch(train) [284][10/63] lr: 1.0000e-05 eta: 13:09:16 time: 10.3988 data_time: 9.5319 memory: 27783 loss: 0.1755 loss_text: 0.1196 loss_kernel: 0.0558 2022/11/02 01:21:13 - mmengine - INFO - Epoch(train) [284][15/63] lr: 1.0000e-05 eta: 13:09:16 time: 0.8820 data_time: 0.0239 memory: 27783 loss: 0.2057 loss_text: 0.1407 loss_kernel: 0.0651 2022/11/02 01:21:17 - mmengine - INFO - Epoch(train) [284][20/63] lr: 1.0000e-05 eta: 13:08:35 time: 0.8725 data_time: 0.0180 memory: 27783 loss: 0.2061 loss_text: 0.1408 loss_kernel: 0.0654 2022/11/02 01:21:21 - mmengine - INFO - Epoch(train) [284][25/63] lr: 1.0000e-05 eta: 13:08:35 time: 0.8903 data_time: 0.0284 memory: 27783 loss: 0.1855 loss_text: 0.1253 loss_kernel: 0.0602 2022/11/02 01:21:26 - mmengine - INFO - Epoch(train) [284][30/63] lr: 1.0000e-05 eta: 13:07:55 time: 0.9144 data_time: 0.0194 memory: 27783 loss: 0.1900 loss_text: 0.1287 loss_kernel: 0.0613 2022/11/02 01:21:31 - mmengine - INFO - Epoch(train) [284][35/63] lr: 1.0000e-05 eta: 13:07:55 time: 0.9284 data_time: 0.0198 memory: 27783 loss: 0.2070 loss_text: 0.1407 loss_kernel: 0.0663 2022/11/02 01:21:35 - mmengine - INFO - Epoch(train) [284][40/63] lr: 1.0000e-05 eta: 13:07:15 time: 0.9031 data_time: 0.0219 memory: 27783 loss: 0.2327 loss_text: 0.1590 loss_kernel: 0.0737 2022/11/02 01:21:40 - mmengine - INFO - Epoch(train) [284][45/63] lr: 1.0000e-05 eta: 13:07:15 time: 0.8809 data_time: 0.0202 memory: 27783 loss: 0.2482 loss_text: 0.1707 loss_kernel: 0.0776 2022/11/02 01:21:44 - mmengine - INFO - Epoch(train) [284][50/63] lr: 1.0000e-05 eta: 13:06:35 time: 0.8792 data_time: 0.0270 memory: 27783 loss: 0.2186 loss_text: 0.1494 loss_kernel: 0.0692 2022/11/02 01:21:48 - mmengine - INFO - Epoch(train) [284][55/63] lr: 1.0000e-05 eta: 13:06:35 time: 0.8740 data_time: 0.0178 memory: 27783 loss: 0.1808 loss_text: 0.1234 loss_kernel: 0.0574 2022/11/02 01:21:53 - mmengine - INFO - Epoch(train) [284][60/63] lr: 1.0000e-05 eta: 13:05:55 time: 0.8802 data_time: 0.0138 memory: 27783 loss: 0.1716 loss_text: 0.1173 loss_kernel: 0.0543 2022/11/02 01:21:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:23:34 - mmengine - INFO - Epoch(train) [285][5/63] lr: 1.0000e-05 eta: 13:05:55 time: 10.2950 data_time: 9.4625 memory: 27783 loss: 0.2252 loss_text: 0.1551 loss_kernel: 0.0701 2022/11/02 01:23:39 - mmengine - INFO - Epoch(train) [285][10/63] lr: 1.0000e-05 eta: 13:06:45 time: 10.3561 data_time: 9.4761 memory: 27783 loss: 0.2078 loss_text: 0.1423 loss_kernel: 0.0654 2022/11/02 01:23:43 - mmengine - INFO - Epoch(train) [285][15/63] lr: 1.0000e-05 eta: 13:06:45 time: 0.8892 data_time: 0.0214 memory: 27783 loss: 0.1704 loss_text: 0.1163 loss_kernel: 0.0541 2022/11/02 01:23:48 - mmengine - INFO - Epoch(train) [285][20/63] lr: 1.0000e-05 eta: 13:06:05 time: 0.9140 data_time: 0.0254 memory: 27783 loss: 0.1529 loss_text: 0.1038 loss_kernel: 0.0491 2022/11/02 01:23:52 - mmengine - INFO - Epoch(train) [285][25/63] lr: 1.0000e-05 eta: 13:06:05 time: 0.9288 data_time: 0.0382 memory: 27783 loss: 0.1835 loss_text: 0.1248 loss_kernel: 0.0588 2022/11/02 01:23:57 - mmengine - INFO - Epoch(train) [285][30/63] lr: 1.0000e-05 eta: 13:05:25 time: 0.8848 data_time: 0.0206 memory: 27783 loss: 0.2076 loss_text: 0.1418 loss_kernel: 0.0658 2022/11/02 01:24:01 - mmengine - INFO - Epoch(train) [285][35/63] lr: 1.0000e-05 eta: 13:05:25 time: 0.8728 data_time: 0.0165 memory: 27783 loss: 0.1817 loss_text: 0.1244 loss_kernel: 0.0573 2022/11/02 01:24:05 - mmengine - INFO - Epoch(train) [285][40/63] lr: 1.0000e-05 eta: 13:04:44 time: 0.8734 data_time: 0.0180 memory: 27783 loss: 0.2015 loss_text: 0.1386 loss_kernel: 0.0629 2022/11/02 01:24:10 - mmengine - INFO - Epoch(train) [285][45/63] lr: 1.0000e-05 eta: 13:04:44 time: 0.8760 data_time: 0.0187 memory: 27783 loss: 0.2277 loss_text: 0.1584 loss_kernel: 0.0694 2022/11/02 01:24:14 - mmengine - INFO - Epoch(train) [285][50/63] lr: 1.0000e-05 eta: 13:04:04 time: 0.8890 data_time: 0.0274 memory: 27783 loss: 0.2010 loss_text: 0.1394 loss_kernel: 0.0616 2022/11/02 01:24:18 - mmengine - INFO - Epoch(train) [285][55/63] lr: 1.0000e-05 eta: 13:04:04 time: 0.8736 data_time: 0.0180 memory: 27783 loss: 0.1731 loss_text: 0.1180 loss_kernel: 0.0551 2022/11/02 01:24:23 - mmengine - INFO - Epoch(train) [285][60/63] lr: 1.0000e-05 eta: 13:03:24 time: 0.8850 data_time: 0.0160 memory: 27783 loss: 0.2004 loss_text: 0.1378 loss_kernel: 0.0625 2022/11/02 01:24:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:26:05 - mmengine - INFO - Epoch(train) [286][5/63] lr: 1.0000e-05 eta: 13:03:24 time: 10.3839 data_time: 9.5419 memory: 27783 loss: 0.1932 loss_text: 0.1326 loss_kernel: 0.0606 2022/11/02 01:26:10 - mmengine - INFO - Epoch(train) [286][10/63] lr: 1.0000e-05 eta: 13:04:15 time: 10.4540 data_time: 9.5541 memory: 27783 loss: 0.1830 loss_text: 0.1255 loss_kernel: 0.0575 2022/11/02 01:26:14 - mmengine - INFO - Epoch(train) [286][15/63] lr: 1.0000e-05 eta: 13:04:15 time: 0.9188 data_time: 0.0213 memory: 27783 loss: 0.1741 loss_text: 0.1192 loss_kernel: 0.0549 2022/11/02 01:26:19 - mmengine - INFO - Epoch(train) [286][20/63] lr: 1.0000e-05 eta: 13:03:35 time: 0.9050 data_time: 0.0191 memory: 27783 loss: 0.1778 loss_text: 0.1215 loss_kernel: 0.0564 2022/11/02 01:26:23 - mmengine - INFO - Epoch(train) [286][25/63] lr: 1.0000e-05 eta: 13:03:35 time: 0.9037 data_time: 0.0279 memory: 27783 loss: 0.1746 loss_text: 0.1201 loss_kernel: 0.0545 2022/11/02 01:26:28 - mmengine - INFO - Epoch(train) [286][30/63] lr: 1.0000e-05 eta: 13:02:55 time: 0.8812 data_time: 0.0176 memory: 27783 loss: 0.1951 loss_text: 0.1342 loss_kernel: 0.0609 2022/11/02 01:26:32 - mmengine - INFO - Epoch(train) [286][35/63] lr: 1.0000e-05 eta: 13:02:55 time: 0.8762 data_time: 0.0171 memory: 27783 loss: 0.2163 loss_text: 0.1491 loss_kernel: 0.0672 2022/11/02 01:26:37 - mmengine - INFO - Epoch(train) [286][40/63] lr: 1.0000e-05 eta: 13:02:15 time: 0.8807 data_time: 0.0186 memory: 27783 loss: 0.2068 loss_text: 0.1415 loss_kernel: 0.0653 2022/11/02 01:26:41 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:26:41 - mmengine - INFO - Epoch(train) [286][45/63] lr: 1.0000e-05 eta: 13:02:15 time: 0.8892 data_time: 0.0200 memory: 27783 loss: 0.2264 loss_text: 0.1552 loss_kernel: 0.0712 2022/11/02 01:26:46 - mmengine - INFO - Epoch(train) [286][50/63] lr: 1.0000e-05 eta: 13:01:35 time: 0.9342 data_time: 0.0256 memory: 27783 loss: 0.2257 loss_text: 0.1560 loss_kernel: 0.0697 2022/11/02 01:26:50 - mmengine - INFO - Epoch(train) [286][55/63] lr: 1.0000e-05 eta: 13:01:35 time: 0.9293 data_time: 0.0172 memory: 27783 loss: 0.1924 loss_text: 0.1318 loss_kernel: 0.0606 2022/11/02 01:26:55 - mmengine - INFO - Epoch(train) [286][60/63] lr: 1.0000e-05 eta: 13:00:55 time: 0.8824 data_time: 0.0158 memory: 27783 loss: 0.1725 loss_text: 0.1171 loss_kernel: 0.0554 2022/11/02 01:26:57 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:28:36 - mmengine - INFO - Epoch(train) [287][5/63] lr: 1.0000e-05 eta: 13:00:55 time: 10.2982 data_time: 9.4668 memory: 27783 loss: 0.1815 loss_text: 0.1240 loss_kernel: 0.0575 2022/11/02 01:28:41 - mmengine - INFO - Epoch(train) [287][10/63] lr: 1.0000e-05 eta: 13:01:44 time: 10.3573 data_time: 9.4807 memory: 27783 loss: 0.1917 loss_text: 0.1317 loss_kernel: 0.0600 2022/11/02 01:28:45 - mmengine - INFO - Epoch(train) [287][15/63] lr: 1.0000e-05 eta: 13:01:44 time: 0.8788 data_time: 0.0218 memory: 27783 loss: 0.1887 loss_text: 0.1288 loss_kernel: 0.0599 2022/11/02 01:28:49 - mmengine - INFO - Epoch(train) [287][20/63] lr: 1.0000e-05 eta: 13:01:04 time: 0.8889 data_time: 0.0189 memory: 27783 loss: 0.1702 loss_text: 0.1158 loss_kernel: 0.0544 2022/11/02 01:28:54 - mmengine - INFO - Epoch(train) [287][25/63] lr: 1.0000e-05 eta: 13:01:04 time: 0.9082 data_time: 0.0294 memory: 27783 loss: 0.1751 loss_text: 0.1196 loss_kernel: 0.0555 2022/11/02 01:28:58 - mmengine - INFO - Epoch(train) [287][30/63] lr: 1.0000e-05 eta: 13:00:24 time: 0.8896 data_time: 0.0161 memory: 27783 loss: 0.1897 loss_text: 0.1293 loss_kernel: 0.0604 2022/11/02 01:29:03 - mmengine - INFO - Epoch(train) [287][35/63] lr: 1.0000e-05 eta: 13:00:24 time: 0.9022 data_time: 0.0172 memory: 27783 loss: 0.2019 loss_text: 0.1378 loss_kernel: 0.0640 2022/11/02 01:29:07 - mmengine - INFO - Epoch(train) [287][40/63] lr: 1.0000e-05 eta: 12:59:44 time: 0.9000 data_time: 0.0185 memory: 27783 loss: 0.2120 loss_text: 0.1455 loss_kernel: 0.0665 2022/11/02 01:29:12 - mmengine - INFO - Epoch(train) [287][45/63] lr: 1.0000e-05 eta: 12:59:44 time: 0.8822 data_time: 0.0194 memory: 27783 loss: 0.2281 loss_text: 0.1573 loss_kernel: 0.0709 2022/11/02 01:29:16 - mmengine - INFO - Epoch(train) [287][50/63] lr: 1.0000e-05 eta: 12:59:05 time: 0.8913 data_time: 0.0275 memory: 27783 loss: 0.2237 loss_text: 0.1548 loss_kernel: 0.0690 2022/11/02 01:29:21 - mmengine - INFO - Epoch(train) [287][55/63] lr: 1.0000e-05 eta: 12:59:05 time: 0.8887 data_time: 0.0167 memory: 27783 loss: 0.2000 loss_text: 0.1380 loss_kernel: 0.0620 2022/11/02 01:29:25 - mmengine - INFO - Epoch(train) [287][60/63] lr: 1.0000e-05 eta: 12:58:25 time: 0.8796 data_time: 0.0153 memory: 27783 loss: 0.1905 loss_text: 0.1307 loss_kernel: 0.0597 2022/11/02 01:29:27 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:31:07 - mmengine - INFO - Epoch(train) [288][5/63] lr: 1.0000e-05 eta: 12:58:25 time: 10.3924 data_time: 9.5560 memory: 27783 loss: 0.1855 loss_text: 0.1276 loss_kernel: 0.0579 2022/11/02 01:31:12 - mmengine - INFO - Epoch(train) [288][10/63] lr: 1.0000e-05 eta: 12:59:14 time: 10.4710 data_time: 9.5652 memory: 27783 loss: 0.2142 loss_text: 0.1469 loss_kernel: 0.0673 2022/11/02 01:31:17 - mmengine - INFO - Epoch(train) [288][15/63] lr: 1.0000e-05 eta: 12:59:14 time: 0.9168 data_time: 0.0233 memory: 27783 loss: 0.2069 loss_text: 0.1405 loss_kernel: 0.0664 2022/11/02 01:31:21 - mmengine - INFO - Epoch(train) [288][20/63] lr: 1.0000e-05 eta: 12:58:35 time: 0.8919 data_time: 0.0187 memory: 27783 loss: 0.2049 loss_text: 0.1390 loss_kernel: 0.0659 2022/11/02 01:31:25 - mmengine - INFO - Epoch(train) [288][25/63] lr: 1.0000e-05 eta: 12:58:35 time: 0.8864 data_time: 0.0225 memory: 27783 loss: 0.2381 loss_text: 0.1634 loss_kernel: 0.0746 2022/11/02 01:31:30 - mmengine - INFO - Epoch(train) [288][30/63] lr: 1.0000e-05 eta: 12:57:55 time: 0.8833 data_time: 0.0231 memory: 27783 loss: 0.2456 loss_text: 0.1698 loss_kernel: 0.0758 2022/11/02 01:31:34 - mmengine - INFO - Epoch(train) [288][35/63] lr: 1.0000e-05 eta: 12:57:55 time: 0.8885 data_time: 0.0191 memory: 27783 loss: 0.1838 loss_text: 0.1260 loss_kernel: 0.0577 2022/11/02 01:31:39 - mmengine - INFO - Epoch(train) [288][40/63] lr: 1.0000e-05 eta: 12:57:15 time: 0.8856 data_time: 0.0158 memory: 27783 loss: 0.1860 loss_text: 0.1278 loss_kernel: 0.0581 2022/11/02 01:31:43 - mmengine - INFO - Epoch(train) [288][45/63] lr: 1.0000e-05 eta: 12:57:15 time: 0.9066 data_time: 0.0232 memory: 27783 loss: 0.2292 loss_text: 0.1593 loss_kernel: 0.0700 2022/11/02 01:31:48 - mmengine - INFO - Epoch(train) [288][50/63] lr: 1.0000e-05 eta: 12:56:35 time: 0.9135 data_time: 0.0213 memory: 27783 loss: 0.1980 loss_text: 0.1365 loss_kernel: 0.0615 2022/11/02 01:31:52 - mmengine - INFO - Epoch(train) [288][55/63] lr: 1.0000e-05 eta: 12:56:35 time: 0.8956 data_time: 0.0220 memory: 27783 loss: 0.1984 loss_text: 0.1363 loss_kernel: 0.0622 2022/11/02 01:31:57 - mmengine - INFO - Epoch(train) [288][60/63] lr: 1.0000e-05 eta: 12:55:56 time: 0.8942 data_time: 0.0224 memory: 27783 loss: 0.1953 loss_text: 0.1342 loss_kernel: 0.0611 2022/11/02 01:31:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:33:38 - mmengine - INFO - Epoch(train) [289][5/63] lr: 1.0000e-05 eta: 12:55:56 time: 10.2886 data_time: 9.4589 memory: 27783 loss: 0.1799 loss_text: 0.1236 loss_kernel: 0.0563 2022/11/02 01:33:43 - mmengine - INFO - Epoch(train) [289][10/63] lr: 1.0000e-05 eta: 12:56:44 time: 10.3476 data_time: 9.4753 memory: 27783 loss: 0.2356 loss_text: 0.1622 loss_kernel: 0.0734 2022/11/02 01:33:47 - mmengine - INFO - Epoch(train) [289][15/63] lr: 1.0000e-05 eta: 12:56:44 time: 0.9062 data_time: 0.0273 memory: 27783 loss: 0.1821 loss_text: 0.1241 loss_kernel: 0.0580 2022/11/02 01:33:52 - mmengine - INFO - Epoch(train) [289][20/63] lr: 1.0000e-05 eta: 12:56:04 time: 0.8906 data_time: 0.0173 memory: 27783 loss: 0.1834 loss_text: 0.1251 loss_kernel: 0.0583 2022/11/02 01:33:56 - mmengine - INFO - Epoch(train) [289][25/63] lr: 1.0000e-05 eta: 12:56:04 time: 0.9139 data_time: 0.0240 memory: 27783 loss: 0.1777 loss_text: 0.1208 loss_kernel: 0.0569 2022/11/02 01:34:01 - mmengine - INFO - Epoch(train) [289][30/63] lr: 1.0000e-05 eta: 12:55:24 time: 0.9106 data_time: 0.0202 memory: 27783 loss: 0.1572 loss_text: 0.1063 loss_kernel: 0.0509 2022/11/02 01:34:05 - mmengine - INFO - Epoch(train) [289][35/63] lr: 1.0000e-05 eta: 12:55:24 time: 0.9146 data_time: 0.0257 memory: 27783 loss: 0.1917 loss_text: 0.1320 loss_kernel: 0.0598 2022/11/02 01:34:10 - mmengine - INFO - Epoch(train) [289][40/63] lr: 1.0000e-05 eta: 12:54:45 time: 0.9076 data_time: 0.0183 memory: 27783 loss: 0.2067 loss_text: 0.1423 loss_kernel: 0.0644 2022/11/02 01:34:14 - mmengine - INFO - Epoch(train) [289][45/63] lr: 1.0000e-05 eta: 12:54:45 time: 0.8964 data_time: 0.0196 memory: 27783 loss: 0.1978 loss_text: 0.1352 loss_kernel: 0.0626 2022/11/02 01:34:19 - mmengine - INFO - Epoch(train) [289][50/63] lr: 1.0000e-05 eta: 12:54:05 time: 0.8988 data_time: 0.0291 memory: 27783 loss: 0.2000 loss_text: 0.1369 loss_kernel: 0.0631 2022/11/02 01:34:23 - mmengine - INFO - Epoch(train) [289][55/63] lr: 1.0000e-05 eta: 12:54:05 time: 0.8719 data_time: 0.0156 memory: 27783 loss: 0.2120 loss_text: 0.1456 loss_kernel: 0.0665 2022/11/02 01:34:27 - mmengine - INFO - Epoch(train) [289][60/63] lr: 1.0000e-05 eta: 12:53:25 time: 0.8668 data_time: 0.0140 memory: 27783 loss: 0.2220 loss_text: 0.1531 loss_kernel: 0.0689 2022/11/02 01:34:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:36:10 - mmengine - INFO - Epoch(train) [290][5/63] lr: 1.0000e-05 eta: 12:53:25 time: 10.4220 data_time: 9.6027 memory: 27783 loss: 0.2209 loss_text: 0.1514 loss_kernel: 0.0694 2022/11/02 01:36:14 - mmengine - INFO - Epoch(train) [290][10/63] lr: 1.0000e-05 eta: 12:54:14 time: 10.4783 data_time: 9.6159 memory: 27783 loss: 0.2136 loss_text: 0.1465 loss_kernel: 0.0671 2022/11/02 01:36:19 - mmengine - INFO - Epoch(train) [290][15/63] lr: 1.0000e-05 eta: 12:54:14 time: 0.8773 data_time: 0.0224 memory: 27783 loss: 0.2188 loss_text: 0.1508 loss_kernel: 0.0680 2022/11/02 01:36:23 - mmengine - INFO - Epoch(train) [290][20/63] lr: 1.0000e-05 eta: 12:53:35 time: 0.8926 data_time: 0.0219 memory: 27783 loss: 0.2266 loss_text: 0.1564 loss_kernel: 0.0701 2022/11/02 01:36:28 - mmengine - INFO - Epoch(train) [290][25/63] lr: 1.0000e-05 eta: 12:53:35 time: 0.9129 data_time: 0.0226 memory: 27783 loss: 0.2075 loss_text: 0.1417 loss_kernel: 0.0658 2022/11/02 01:36:32 - mmengine - INFO - Epoch(train) [290][30/63] lr: 1.0000e-05 eta: 12:52:55 time: 0.8884 data_time: 0.0172 memory: 27783 loss: 0.2130 loss_text: 0.1477 loss_kernel: 0.0654 2022/11/02 01:36:37 - mmengine - INFO - Epoch(train) [290][35/63] lr: 1.0000e-05 eta: 12:52:55 time: 0.8833 data_time: 0.0237 memory: 27783 loss: 0.1868 loss_text: 0.1296 loss_kernel: 0.0572 2022/11/02 01:36:41 - mmengine - INFO - Epoch(train) [290][40/63] lr: 1.0000e-05 eta: 12:52:15 time: 0.8734 data_time: 0.0164 memory: 27783 loss: 0.1826 loss_text: 0.1251 loss_kernel: 0.0575 2022/11/02 01:36:46 - mmengine - INFO - Epoch(train) [290][45/63] lr: 1.0000e-05 eta: 12:52:15 time: 0.8789 data_time: 0.0167 memory: 27783 loss: 0.1966 loss_text: 0.1351 loss_kernel: 0.0615 2022/11/02 01:36:50 - mmengine - INFO - Epoch(train) [290][50/63] lr: 1.0000e-05 eta: 12:51:36 time: 0.8922 data_time: 0.0285 memory: 27783 loss: 0.2031 loss_text: 0.1396 loss_kernel: 0.0635 2022/11/02 01:36:54 - mmengine - INFO - Epoch(train) [290][55/63] lr: 1.0000e-05 eta: 12:51:36 time: 0.8664 data_time: 0.0174 memory: 27783 loss: 0.2253 loss_text: 0.1554 loss_kernel: 0.0699 2022/11/02 01:36:59 - mmengine - INFO - Epoch(train) [290][60/63] lr: 1.0000e-05 eta: 12:50:56 time: 0.8843 data_time: 0.0138 memory: 27783 loss: 0.2324 loss_text: 0.1599 loss_kernel: 0.0726 2022/11/02 01:37:01 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:38:40 - mmengine - INFO - Epoch(train) [291][5/63] lr: 1.0000e-05 eta: 12:50:56 time: 10.3188 data_time: 9.4641 memory: 27783 loss: 0.1734 loss_text: 0.1174 loss_kernel: 0.0559 2022/11/02 01:38:45 - mmengine - INFO - Epoch(train) [291][10/63] lr: 1.0000e-05 eta: 12:51:43 time: 10.3900 data_time: 9.4849 memory: 27783 loss: 0.1756 loss_text: 0.1204 loss_kernel: 0.0552 2022/11/02 01:38:49 - mmengine - INFO - Epoch(train) [291][15/63] lr: 1.0000e-05 eta: 12:51:43 time: 0.9130 data_time: 0.0267 memory: 27783 loss: 0.2279 loss_text: 0.1569 loss_kernel: 0.0710 2022/11/02 01:38:54 - mmengine - INFO - Epoch(train) [291][20/63] lr: 1.0000e-05 eta: 12:51:04 time: 0.8801 data_time: 0.0184 memory: 27783 loss: 0.2188 loss_text: 0.1503 loss_kernel: 0.0684 2022/11/02 01:38:58 - mmengine - INFO - Epoch(train) [291][25/63] lr: 1.0000e-05 eta: 12:51:04 time: 0.8858 data_time: 0.0238 memory: 27783 loss: 0.1751 loss_text: 0.1192 loss_kernel: 0.0560 2022/11/02 01:39:03 - mmengine - INFO - Epoch(train) [291][30/63] lr: 1.0000e-05 eta: 12:50:24 time: 0.8758 data_time: 0.0172 memory: 27783 loss: 0.1560 loss_text: 0.1055 loss_kernel: 0.0506 2022/11/02 01:39:07 - mmengine - INFO - Epoch(train) [291][35/63] lr: 1.0000e-05 eta: 12:50:24 time: 0.8785 data_time: 0.0230 memory: 27783 loss: 0.1988 loss_text: 0.1362 loss_kernel: 0.0626 2022/11/02 01:39:11 - mmengine - INFO - Epoch(train) [291][40/63] lr: 1.0000e-05 eta: 12:49:45 time: 0.8710 data_time: 0.0172 memory: 27783 loss: 0.2214 loss_text: 0.1524 loss_kernel: 0.0690 2022/11/02 01:39:16 - mmengine - INFO - Epoch(train) [291][45/63] lr: 1.0000e-05 eta: 12:49:45 time: 0.8731 data_time: 0.0165 memory: 27783 loss: 0.2230 loss_text: 0.1534 loss_kernel: 0.0696 2022/11/02 01:39:20 - mmengine - INFO - Epoch(train) [291][50/63] lr: 1.0000e-05 eta: 12:49:05 time: 0.9143 data_time: 0.0314 memory: 27783 loss: 0.2399 loss_text: 0.1650 loss_kernel: 0.0749 2022/11/02 01:39:25 - mmengine - INFO - Epoch(train) [291][55/63] lr: 1.0000e-05 eta: 12:49:05 time: 0.9154 data_time: 0.0226 memory: 27783 loss: 0.2015 loss_text: 0.1374 loss_kernel: 0.0641 2022/11/02 01:39:29 - mmengine - INFO - Epoch(train) [291][60/63] lr: 1.0000e-05 eta: 12:48:26 time: 0.8822 data_time: 0.0141 memory: 27783 loss: 0.1961 loss_text: 0.1338 loss_kernel: 0.0623 2022/11/02 01:39:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:41:12 - mmengine - INFO - Epoch(train) [292][5/63] lr: 1.0000e-05 eta: 12:48:26 time: 10.3830 data_time: 9.5613 memory: 27783 loss: 0.2136 loss_text: 0.1463 loss_kernel: 0.0673 2022/11/02 01:41:16 - mmengine - INFO - Epoch(train) [292][10/63] lr: 1.0000e-05 eta: 12:49:13 time: 10.4450 data_time: 9.5681 memory: 27783 loss: 0.1878 loss_text: 0.1285 loss_kernel: 0.0593 2022/11/02 01:41:20 - mmengine - INFO - Epoch(train) [292][15/63] lr: 1.0000e-05 eta: 12:49:13 time: 0.8851 data_time: 0.0202 memory: 27783 loss: 0.1844 loss_text: 0.1273 loss_kernel: 0.0571 2022/11/02 01:41:25 - mmengine - INFO - Epoch(train) [292][20/63] lr: 1.0000e-05 eta: 12:48:34 time: 0.8827 data_time: 0.0255 memory: 27783 loss: 0.2170 loss_text: 0.1499 loss_kernel: 0.0671 2022/11/02 01:41:29 - mmengine - INFO - Epoch(train) [292][25/63] lr: 1.0000e-05 eta: 12:48:34 time: 0.8853 data_time: 0.0235 memory: 27783 loss: 0.2032 loss_text: 0.1392 loss_kernel: 0.0640 2022/11/02 01:41:34 - mmengine - INFO - Epoch(train) [292][30/63] lr: 1.0000e-05 eta: 12:47:54 time: 0.8967 data_time: 0.0189 memory: 27783 loss: 0.1551 loss_text: 0.1052 loss_kernel: 0.0500 2022/11/02 01:41:38 - mmengine - INFO - Epoch(train) [292][35/63] lr: 1.0000e-05 eta: 12:47:54 time: 0.9135 data_time: 0.0251 memory: 27783 loss: 0.1632 loss_text: 0.1112 loss_kernel: 0.0520 2022/11/02 01:41:43 - mmengine - INFO - Epoch(train) [292][40/63] lr: 1.0000e-05 eta: 12:47:15 time: 0.9196 data_time: 0.0200 memory: 27783 loss: 0.1860 loss_text: 0.1272 loss_kernel: 0.0588 2022/11/02 01:41:47 - mmengine - INFO - Epoch(train) [292][45/63] lr: 1.0000e-05 eta: 12:47:15 time: 0.9094 data_time: 0.0188 memory: 27783 loss: 0.1917 loss_text: 0.1307 loss_kernel: 0.0609 2022/11/02 01:41:52 - mmengine - INFO - Epoch(train) [292][50/63] lr: 1.0000e-05 eta: 12:46:36 time: 0.8878 data_time: 0.0174 memory: 27783 loss: 0.1891 loss_text: 0.1294 loss_kernel: 0.0598 2022/11/02 01:41:56 - mmengine - INFO - Epoch(train) [292][55/63] lr: 1.0000e-05 eta: 12:46:36 time: 0.8692 data_time: 0.0149 memory: 27783 loss: 0.1911 loss_text: 0.1313 loss_kernel: 0.0598 2022/11/02 01:42:01 - mmengine - INFO - Epoch(train) [292][60/63] lr: 1.0000e-05 eta: 12:45:56 time: 0.8687 data_time: 0.0202 memory: 27783 loss: 0.1831 loss_text: 0.1250 loss_kernel: 0.0581 2022/11/02 01:42:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:43:42 - mmengine - INFO - Epoch(train) [293][5/63] lr: 1.0000e-05 eta: 12:45:56 time: 10.3440 data_time: 9.5195 memory: 27783 loss: 0.2043 loss_text: 0.1400 loss_kernel: 0.0643 2022/11/02 01:43:47 - mmengine - INFO - Epoch(train) [293][10/63] lr: 1.0000e-05 eta: 12:46:43 time: 10.3925 data_time: 9.5278 memory: 27783 loss: 0.1870 loss_text: 0.1282 loss_kernel: 0.0589 2022/11/02 01:43:51 - mmengine - INFO - Epoch(train) [293][15/63] lr: 1.0000e-05 eta: 12:46:43 time: 0.8857 data_time: 0.0223 memory: 27783 loss: 0.2222 loss_text: 0.1531 loss_kernel: 0.0691 2022/11/02 01:43:56 - mmengine - INFO - Epoch(train) [293][20/63] lr: 1.0000e-05 eta: 12:46:03 time: 0.8806 data_time: 0.0212 memory: 27783 loss: 0.1976 loss_text: 0.1349 loss_kernel: 0.0627 2022/11/02 01:44:00 - mmengine - INFO - Epoch(train) [293][25/63] lr: 1.0000e-05 eta: 12:46:03 time: 0.8776 data_time: 0.0225 memory: 27783 loss: 0.1824 loss_text: 0.1239 loss_kernel: 0.0585 2022/11/02 01:44:04 - mmengine - INFO - Epoch(train) [293][30/63] lr: 1.0000e-05 eta: 12:45:24 time: 0.8705 data_time: 0.0156 memory: 27783 loss: 0.2021 loss_text: 0.1390 loss_kernel: 0.0631 2022/11/02 01:44:09 - mmengine - INFO - Epoch(train) [293][35/63] lr: 1.0000e-05 eta: 12:45:24 time: 0.8700 data_time: 0.0166 memory: 27783 loss: 0.1873 loss_text: 0.1288 loss_kernel: 0.0585 2022/11/02 01:44:13 - mmengine - INFO - Epoch(train) [293][40/63] lr: 1.0000e-05 eta: 12:44:44 time: 0.8791 data_time: 0.0170 memory: 27783 loss: 0.1840 loss_text: 0.1260 loss_kernel: 0.0580 2022/11/02 01:44:18 - mmengine - INFO - Epoch(train) [293][45/63] lr: 1.0000e-05 eta: 12:44:44 time: 0.8927 data_time: 0.0188 memory: 27783 loss: 0.2265 loss_text: 0.1559 loss_kernel: 0.0706 2022/11/02 01:44:22 - mmengine - INFO - Epoch(train) [293][50/63] lr: 1.0000e-05 eta: 12:44:05 time: 0.8818 data_time: 0.0218 memory: 27783 loss: 0.2840 loss_text: 0.1959 loss_kernel: 0.0881 2022/11/02 01:44:26 - mmengine - INFO - Epoch(train) [293][55/63] lr: 1.0000e-05 eta: 12:44:05 time: 0.8692 data_time: 0.0180 memory: 27783 loss: 0.2081 loss_text: 0.1423 loss_kernel: 0.0658 2022/11/02 01:44:31 - mmengine - INFO - Epoch(train) [293][60/63] lr: 1.0000e-05 eta: 12:43:26 time: 0.8787 data_time: 0.0172 memory: 27783 loss: 0.1595 loss_text: 0.1078 loss_kernel: 0.0517 2022/11/02 01:44:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:46:13 - mmengine - INFO - Epoch(train) [294][5/63] lr: 1.0000e-05 eta: 12:43:26 time: 10.4121 data_time: 9.6021 memory: 27783 loss: 0.1720 loss_text: 0.1171 loss_kernel: 0.0549 2022/11/02 01:46:18 - mmengine - INFO - Epoch(train) [294][10/63] lr: 1.0000e-05 eta: 12:44:12 time: 10.4550 data_time: 9.6168 memory: 27783 loss: 0.1910 loss_text: 0.1307 loss_kernel: 0.0603 2022/11/02 01:46:22 - mmengine - INFO - Epoch(train) [294][15/63] lr: 1.0000e-05 eta: 12:44:12 time: 0.8605 data_time: 0.0228 memory: 27783 loss: 0.1973 loss_text: 0.1359 loss_kernel: 0.0614 2022/11/02 01:46:26 - mmengine - INFO - Epoch(train) [294][20/63] lr: 1.0000e-05 eta: 12:43:33 time: 0.8569 data_time: 0.0147 memory: 27783 loss: 0.2020 loss_text: 0.1397 loss_kernel: 0.0624 2022/11/02 01:46:31 - mmengine - INFO - Epoch(train) [294][25/63] lr: 1.0000e-05 eta: 12:43:33 time: 0.8698 data_time: 0.0242 memory: 27783 loss: 0.1883 loss_text: 0.1299 loss_kernel: 0.0584 2022/11/02 01:46:35 - mmengine - INFO - Epoch(train) [294][30/63] lr: 1.0000e-05 eta: 12:42:53 time: 0.8651 data_time: 0.0168 memory: 27783 loss: 0.1769 loss_text: 0.1219 loss_kernel: 0.0550 2022/11/02 01:46:39 - mmengine - INFO - Epoch(train) [294][35/63] lr: 1.0000e-05 eta: 12:42:53 time: 0.8602 data_time: 0.0179 memory: 27783 loss: 0.2003 loss_text: 0.1376 loss_kernel: 0.0627 2022/11/02 01:46:43 - mmengine - INFO - Epoch(train) [294][40/63] lr: 1.0000e-05 eta: 12:42:14 time: 0.8475 data_time: 0.0176 memory: 27783 loss: 0.2373 loss_text: 0.1647 loss_kernel: 0.0726 2022/11/02 01:46:48 - mmengine - INFO - Epoch(train) [294][45/63] lr: 1.0000e-05 eta: 12:42:14 time: 0.8480 data_time: 0.0163 memory: 27783 loss: 0.2722 loss_text: 0.1891 loss_kernel: 0.0830 2022/11/02 01:46:52 - mmengine - INFO - Epoch(train) [294][50/63] lr: 1.0000e-05 eta: 12:41:34 time: 0.8702 data_time: 0.0259 memory: 27783 loss: 0.2298 loss_text: 0.1579 loss_kernel: 0.0719 2022/11/02 01:46:56 - mmengine - INFO - Epoch(train) [294][55/63] lr: 1.0000e-05 eta: 12:41:34 time: 0.8608 data_time: 0.0166 memory: 27783 loss: 0.1656 loss_text: 0.1135 loss_kernel: 0.0520 2022/11/02 01:47:01 - mmengine - INFO - Epoch(train) [294][60/63] lr: 1.0000e-05 eta: 12:40:55 time: 0.8501 data_time: 0.0137 memory: 27783 loss: 0.1764 loss_text: 0.1210 loss_kernel: 0.0554 2022/11/02 01:47:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:48:42 - mmengine - INFO - Epoch(train) [295][5/63] lr: 1.0000e-05 eta: 12:40:55 time: 10.2620 data_time: 9.4654 memory: 27783 loss: 0.2058 loss_text: 0.1415 loss_kernel: 0.0644 2022/11/02 01:48:46 - mmengine - INFO - Epoch(train) [295][10/63] lr: 1.0000e-05 eta: 12:41:39 time: 10.3155 data_time: 9.4692 memory: 27783 loss: 0.1981 loss_text: 0.1358 loss_kernel: 0.0623 2022/11/02 01:48:50 - mmengine - INFO - Epoch(train) [295][15/63] lr: 1.0000e-05 eta: 12:41:39 time: 0.8716 data_time: 0.0199 memory: 27783 loss: 0.1977 loss_text: 0.1348 loss_kernel: 0.0628 2022/11/02 01:48:55 - mmengine - INFO - Epoch(train) [295][20/63] lr: 1.0000e-05 eta: 12:41:00 time: 0.8741 data_time: 0.0260 memory: 27783 loss: 0.2127 loss_text: 0.1461 loss_kernel: 0.0665 2022/11/02 01:48:59 - mmengine - INFO - Epoch(train) [295][25/63] lr: 1.0000e-05 eta: 12:41:00 time: 0.8676 data_time: 0.0207 memory: 27783 loss: 0.2309 loss_text: 0.1588 loss_kernel: 0.0720 2022/11/02 01:49:03 - mmengine - INFO - Epoch(train) [295][30/63] lr: 1.0000e-05 eta: 12:40:21 time: 0.8697 data_time: 0.0183 memory: 27783 loss: 0.1956 loss_text: 0.1337 loss_kernel: 0.0619 2022/11/02 01:49:08 - mmengine - INFO - Epoch(train) [295][35/63] lr: 1.0000e-05 eta: 12:40:21 time: 0.8773 data_time: 0.0214 memory: 27783 loss: 0.1831 loss_text: 0.1258 loss_kernel: 0.0573 2022/11/02 01:49:12 - mmengine - INFO - Epoch(train) [295][40/63] lr: 1.0000e-05 eta: 12:39:42 time: 0.8675 data_time: 0.0175 memory: 27783 loss: 0.2166 loss_text: 0.1489 loss_kernel: 0.0677 2022/11/02 01:49:16 - mmengine - INFO - Epoch(train) [295][45/63] lr: 1.0000e-05 eta: 12:39:42 time: 0.8730 data_time: 0.0180 memory: 27783 loss: 0.1941 loss_text: 0.1329 loss_kernel: 0.0611 2022/11/02 01:49:21 - mmengine - INFO - Epoch(train) [295][50/63] lr: 1.0000e-05 eta: 12:39:02 time: 0.8813 data_time: 0.0191 memory: 27783 loss: 0.1795 loss_text: 0.1227 loss_kernel: 0.0568 2022/11/02 01:49:25 - mmengine - INFO - Epoch(train) [295][55/63] lr: 1.0000e-05 eta: 12:39:02 time: 0.8634 data_time: 0.0162 memory: 27783 loss: 0.1832 loss_text: 0.1248 loss_kernel: 0.0585 2022/11/02 01:49:29 - mmengine - INFO - Epoch(train) [295][60/63] lr: 1.0000e-05 eta: 12:38:23 time: 0.8607 data_time: 0.0200 memory: 27783 loss: 0.1941 loss_text: 0.1325 loss_kernel: 0.0616 2022/11/02 01:49:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:51:13 - mmengine - INFO - Epoch(train) [296][5/63] lr: 1.0000e-05 eta: 12:38:23 time: 10.5244 data_time: 9.7156 memory: 27783 loss: 0.2112 loss_text: 0.1446 loss_kernel: 0.0666 2022/11/02 01:51:18 - mmengine - INFO - Epoch(train) [296][10/63] lr: 1.0000e-05 eta: 12:39:10 time: 10.5776 data_time: 9.7264 memory: 27783 loss: 0.1591 loss_text: 0.1080 loss_kernel: 0.0511 2022/11/02 01:51:22 - mmengine - INFO - Epoch(train) [296][15/63] lr: 1.0000e-05 eta: 12:39:10 time: 0.8804 data_time: 0.0217 memory: 27783 loss: 0.1438 loss_text: 0.0969 loss_kernel: 0.0468 2022/11/02 01:51:26 - mmengine - INFO - Epoch(train) [296][20/63] lr: 1.0000e-05 eta: 12:38:31 time: 0.8806 data_time: 0.0192 memory: 27783 loss: 0.1839 loss_text: 0.1254 loss_kernel: 0.0585 2022/11/02 01:51:31 - mmengine - INFO - Epoch(train) [296][25/63] lr: 1.0000e-05 eta: 12:38:31 time: 0.8914 data_time: 0.0263 memory: 27783 loss: 0.1989 loss_text: 0.1383 loss_kernel: 0.0606 2022/11/02 01:51:35 - mmengine - INFO - Epoch(train) [296][30/63] lr: 1.0000e-05 eta: 12:37:52 time: 0.8876 data_time: 0.0176 memory: 27783 loss: 0.1706 loss_text: 0.1183 loss_kernel: 0.0524 2022/11/02 01:51:40 - mmengine - INFO - Epoch(train) [296][35/63] lr: 1.0000e-05 eta: 12:37:52 time: 0.8946 data_time: 0.0288 memory: 27783 loss: 0.1921 loss_text: 0.1316 loss_kernel: 0.0604 2022/11/02 01:51:44 - mmengine - INFO - Epoch(train) [296][40/63] lr: 1.0000e-05 eta: 12:37:13 time: 0.8913 data_time: 0.0296 memory: 27783 loss: 0.1903 loss_text: 0.1301 loss_kernel: 0.0602 2022/11/02 01:51:49 - mmengine - INFO - Epoch(train) [296][45/63] lr: 1.0000e-05 eta: 12:37:13 time: 0.8813 data_time: 0.0208 memory: 27783 loss: 0.1552 loss_text: 0.1060 loss_kernel: 0.0491 2022/11/02 01:51:53 - mmengine - INFO - Epoch(train) [296][50/63] lr: 1.0000e-05 eta: 12:36:34 time: 0.8672 data_time: 0.0222 memory: 27783 loss: 0.2230 loss_text: 0.1537 loss_kernel: 0.0693 2022/11/02 01:51:57 - mmengine - INFO - Epoch(train) [296][55/63] lr: 1.0000e-05 eta: 12:36:34 time: 0.8595 data_time: 0.0162 memory: 27783 loss: 0.2485 loss_text: 0.1706 loss_kernel: 0.0779 2022/11/02 01:52:01 - mmengine - INFO - Epoch(train) [296][60/63] lr: 1.0000e-05 eta: 12:35:54 time: 0.8603 data_time: 0.0156 memory: 27783 loss: 0.2076 loss_text: 0.1423 loss_kernel: 0.0653 2022/11/02 01:52:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:53:44 - mmengine - INFO - Epoch(train) [297][5/63] lr: 1.0000e-05 eta: 12:35:54 time: 10.4343 data_time: 9.6204 memory: 27783 loss: 0.1737 loss_text: 0.1182 loss_kernel: 0.0556 2022/11/02 01:53:49 - mmengine - INFO - Epoch(train) [297][10/63] lr: 1.0000e-05 eta: 12:36:40 time: 10.4954 data_time: 9.6327 memory: 27783 loss: 0.2073 loss_text: 0.1415 loss_kernel: 0.0658 2022/11/02 01:53:53 - mmengine - INFO - Epoch(train) [297][15/63] lr: 1.0000e-05 eta: 12:36:40 time: 0.8765 data_time: 0.0209 memory: 27783 loss: 0.2056 loss_text: 0.1404 loss_kernel: 0.0651 2022/11/02 01:53:57 - mmengine - INFO - Epoch(train) [297][20/63] lr: 1.0000e-05 eta: 12:36:01 time: 0.8703 data_time: 0.0180 memory: 27783 loss: 0.1894 loss_text: 0.1286 loss_kernel: 0.0608 2022/11/02 01:54:02 - mmengine - INFO - Epoch(train) [297][25/63] lr: 1.0000e-05 eta: 12:36:01 time: 0.8663 data_time: 0.0178 memory: 27783 loss: 0.2146 loss_text: 0.1465 loss_kernel: 0.0681 2022/11/02 01:54:06 - mmengine - INFO - Epoch(train) [297][30/63] lr: 1.0000e-05 eta: 12:35:22 time: 0.8657 data_time: 0.0157 memory: 27783 loss: 0.2062 loss_text: 0.1419 loss_kernel: 0.0644 2022/11/02 01:54:10 - mmengine - INFO - Epoch(train) [297][35/63] lr: 1.0000e-05 eta: 12:35:22 time: 0.8728 data_time: 0.0254 memory: 27783 loss: 0.1882 loss_text: 0.1299 loss_kernel: 0.0583 2022/11/02 01:54:15 - mmengine - INFO - Epoch(train) [297][40/63] lr: 1.0000e-05 eta: 12:34:42 time: 0.8656 data_time: 0.0177 memory: 27783 loss: 0.1763 loss_text: 0.1211 loss_kernel: 0.0552 2022/11/02 01:54:19 - mmengine - INFO - Epoch(train) [297][45/63] lr: 1.0000e-05 eta: 12:34:42 time: 0.8732 data_time: 0.0179 memory: 27783 loss: 0.1915 loss_text: 0.1310 loss_kernel: 0.0605 2022/11/02 01:54:23 - mmengine - INFO - Epoch(train) [297][50/63] lr: 1.0000e-05 eta: 12:34:04 time: 0.8769 data_time: 0.0237 memory: 27783 loss: 0.1902 loss_text: 0.1298 loss_kernel: 0.0604 2022/11/02 01:54:28 - mmengine - INFO - Epoch(train) [297][55/63] lr: 1.0000e-05 eta: 12:34:04 time: 0.8632 data_time: 0.0158 memory: 27783 loss: 0.1827 loss_text: 0.1251 loss_kernel: 0.0576 2022/11/02 01:54:32 - mmengine - INFO - Epoch(train) [297][60/63] lr: 1.0000e-05 eta: 12:33:24 time: 0.8583 data_time: 0.0160 memory: 27783 loss: 0.2113 loss_text: 0.1446 loss_kernel: 0.0667 2022/11/02 01:54:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:56:14 - mmengine - INFO - Epoch(train) [298][5/63] lr: 1.0000e-05 eta: 12:33:24 time: 10.3913 data_time: 9.5758 memory: 27783 loss: 0.2077 loss_text: 0.1426 loss_kernel: 0.0652 2022/11/02 01:56:19 - mmengine - INFO - Epoch(train) [298][10/63] lr: 1.0000e-05 eta: 12:34:09 time: 10.4615 data_time: 9.5897 memory: 27783 loss: 0.1987 loss_text: 0.1370 loss_kernel: 0.0617 2022/11/02 01:56:23 - mmengine - INFO - Epoch(train) [298][15/63] lr: 1.0000e-05 eta: 12:34:09 time: 0.8825 data_time: 0.0234 memory: 27783 loss: 0.2096 loss_text: 0.1443 loss_kernel: 0.0654 2022/11/02 01:56:28 - mmengine - INFO - Epoch(train) [298][20/63] lr: 1.0000e-05 eta: 12:33:30 time: 0.8767 data_time: 0.0208 memory: 27783 loss: 0.2047 loss_text: 0.1400 loss_kernel: 0.0647 2022/11/02 01:56:32 - mmengine - INFO - Epoch(train) [298][25/63] lr: 1.0000e-05 eta: 12:33:30 time: 0.8815 data_time: 0.0272 memory: 27783 loss: 0.1809 loss_text: 0.1235 loss_kernel: 0.0575 2022/11/02 01:56:36 - mmengine - INFO - Epoch(train) [298][30/63] lr: 1.0000e-05 eta: 12:32:51 time: 0.8616 data_time: 0.0163 memory: 27783 loss: 0.1909 loss_text: 0.1310 loss_kernel: 0.0599 2022/11/02 01:56:41 - mmengine - INFO - Epoch(train) [298][35/63] lr: 1.0000e-05 eta: 12:32:51 time: 0.8588 data_time: 0.0179 memory: 27783 loss: 0.1982 loss_text: 0.1362 loss_kernel: 0.0621 2022/11/02 01:56:45 - mmengine - INFO - Epoch(train) [298][40/63] lr: 1.0000e-05 eta: 12:32:12 time: 0.8690 data_time: 0.0206 memory: 27783 loss: 0.1934 loss_text: 0.1329 loss_kernel: 0.0605 2022/11/02 01:56:50 - mmengine - INFO - Epoch(train) [298][45/63] lr: 1.0000e-05 eta: 12:32:12 time: 0.8926 data_time: 0.0193 memory: 27783 loss: 0.1629 loss_text: 0.1115 loss_kernel: 0.0515 2022/11/02 01:56:54 - mmengine - INFO - Epoch(train) [298][50/63] lr: 1.0000e-05 eta: 12:31:33 time: 0.8871 data_time: 0.0232 memory: 27783 loss: 0.1918 loss_text: 0.1311 loss_kernel: 0.0606 2022/11/02 01:56:58 - mmengine - INFO - Epoch(train) [298][55/63] lr: 1.0000e-05 eta: 12:31:33 time: 0.8535 data_time: 0.0168 memory: 27783 loss: 0.2606 loss_text: 0.1790 loss_kernel: 0.0816 2022/11/02 01:57:02 - mmengine - INFO - Epoch(train) [298][60/63] lr: 1.0000e-05 eta: 12:30:54 time: 0.8503 data_time: 0.0149 memory: 27783 loss: 0.2567 loss_text: 0.1765 loss_kernel: 0.0801 2022/11/02 01:57:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 01:58:43 - mmengine - INFO - Epoch(train) [299][5/63] lr: 1.0000e-05 eta: 12:30:54 time: 10.2690 data_time: 9.4565 memory: 27783 loss: 0.2141 loss_text: 0.1475 loss_kernel: 0.0666 2022/11/02 01:58:48 - mmengine - INFO - Epoch(train) [299][10/63] lr: 1.0000e-05 eta: 12:31:37 time: 10.3147 data_time: 9.4616 memory: 27783 loss: 0.2093 loss_text: 0.1442 loss_kernel: 0.0651 2022/11/02 01:58:52 - mmengine - INFO - Epoch(train) [299][15/63] lr: 1.0000e-05 eta: 12:31:37 time: 0.8604 data_time: 0.0173 memory: 27783 loss: 0.2278 loss_text: 0.1572 loss_kernel: 0.0706 2022/11/02 01:58:56 - mmengine - INFO - Epoch(train) [299][20/63] lr: 1.0000e-05 eta: 12:30:58 time: 0.8744 data_time: 0.0239 memory: 27783 loss: 0.1643 loss_text: 0.1122 loss_kernel: 0.0522 2022/11/02 01:59:01 - mmengine - INFO - Epoch(train) [299][25/63] lr: 1.0000e-05 eta: 12:30:58 time: 0.8842 data_time: 0.0228 memory: 27783 loss: 0.1512 loss_text: 0.1028 loss_kernel: 0.0484 2022/11/02 01:59:05 - mmengine - INFO - Epoch(train) [299][30/63] lr: 1.0000e-05 eta: 12:30:19 time: 0.8706 data_time: 0.0158 memory: 27783 loss: 0.1851 loss_text: 0.1259 loss_kernel: 0.0592 2022/11/02 01:59:10 - mmengine - INFO - Epoch(train) [299][35/63] lr: 1.0000e-05 eta: 12:30:19 time: 0.8739 data_time: 0.0221 memory: 27783 loss: 0.1840 loss_text: 0.1260 loss_kernel: 0.0580 2022/11/02 01:59:14 - mmengine - INFO - Epoch(train) [299][40/63] lr: 1.0000e-05 eta: 12:29:40 time: 0.8722 data_time: 0.0171 memory: 27783 loss: 0.2109 loss_text: 0.1458 loss_kernel: 0.0651 2022/11/02 01:59:18 - mmengine - INFO - Epoch(train) [299][45/63] lr: 1.0000e-05 eta: 12:29:40 time: 0.8548 data_time: 0.0188 memory: 27783 loss: 0.2571 loss_text: 0.1770 loss_kernel: 0.0801 2022/11/02 01:59:22 - mmengine - INFO - Epoch(train) [299][50/63] lr: 1.0000e-05 eta: 12:29:01 time: 0.8546 data_time: 0.0198 memory: 27783 loss: 0.2324 loss_text: 0.1588 loss_kernel: 0.0736 2022/11/02 01:59:27 - mmengine - INFO - Epoch(train) [299][55/63] lr: 1.0000e-05 eta: 12:29:01 time: 0.8688 data_time: 0.0164 memory: 27783 loss: 0.1497 loss_text: 0.1010 loss_kernel: 0.0488 2022/11/02 01:59:31 - mmengine - INFO - Epoch(train) [299][60/63] lr: 1.0000e-05 eta: 12:28:22 time: 0.8637 data_time: 0.0213 memory: 27783 loss: 0.1421 loss_text: 0.0976 loss_kernel: 0.0444 2022/11/02 01:59:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:01:13 - mmengine - INFO - Epoch(train) [300][5/63] lr: 1.0000e-05 eta: 12:28:22 time: 10.3581 data_time: 9.5558 memory: 27783 loss: 0.2144 loss_text: 0.1473 loss_kernel: 0.0671 2022/11/02 02:01:18 - mmengine - INFO - Epoch(train) [300][10/63] lr: 1.0000e-05 eta: 12:29:05 time: 10.4254 data_time: 9.5635 memory: 27783 loss: 0.1903 loss_text: 0.1303 loss_kernel: 0.0600 2022/11/02 02:01:22 - mmengine - INFO - Epoch(train) [300][15/63] lr: 1.0000e-05 eta: 12:29:05 time: 0.8817 data_time: 0.0250 memory: 27783 loss: 0.1860 loss_text: 0.1272 loss_kernel: 0.0588 2022/11/02 02:01:26 - mmengine - INFO - Epoch(train) [300][20/63] lr: 1.0000e-05 eta: 12:28:27 time: 0.8721 data_time: 0.0226 memory: 27783 loss: 0.2024 loss_text: 0.1392 loss_kernel: 0.0631 2022/11/02 02:01:31 - mmengine - INFO - Epoch(train) [300][25/63] lr: 1.0000e-05 eta: 12:28:27 time: 0.8665 data_time: 0.0199 memory: 27783 loss: 0.1808 loss_text: 0.1240 loss_kernel: 0.0568 2022/11/02 02:01:35 - mmengine - INFO - Epoch(train) [300][30/63] lr: 1.0000e-05 eta: 12:27:48 time: 0.8607 data_time: 0.0164 memory: 27783 loss: 0.2015 loss_text: 0.1376 loss_kernel: 0.0639 2022/11/02 02:01:39 - mmengine - INFO - Epoch(train) [300][35/63] lr: 1.0000e-05 eta: 12:27:48 time: 0.8763 data_time: 0.0212 memory: 27783 loss: 0.2242 loss_text: 0.1535 loss_kernel: 0.0706 2022/11/02 02:01:44 - mmengine - INFO - Epoch(train) [300][40/63] lr: 1.0000e-05 eta: 12:27:09 time: 0.8754 data_time: 0.0175 memory: 27783 loss: 0.1922 loss_text: 0.1311 loss_kernel: 0.0611 2022/11/02 02:01:48 - mmengine - INFO - Epoch(train) [300][45/63] lr: 1.0000e-05 eta: 12:27:09 time: 0.8557 data_time: 0.0170 memory: 27783 loss: 0.2106 loss_text: 0.1438 loss_kernel: 0.0669 2022/11/02 02:01:52 - mmengine - INFO - Epoch(train) [300][50/63] lr: 1.0000e-05 eta: 12:26:30 time: 0.8579 data_time: 0.0215 memory: 27783 loss: 0.2063 loss_text: 0.1409 loss_kernel: 0.0654 2022/11/02 02:01:57 - mmengine - INFO - Epoch(train) [300][55/63] lr: 1.0000e-05 eta: 12:26:30 time: 0.8621 data_time: 0.0155 memory: 27783 loss: 0.1610 loss_text: 0.1094 loss_kernel: 0.0516 2022/11/02 02:02:01 - mmengine - INFO - Epoch(train) [300][60/63] lr: 1.0000e-05 eta: 12:25:52 time: 0.8681 data_time: 0.0168 memory: 27783 loss: 0.1874 loss_text: 0.1287 loss_kernel: 0.0587 2022/11/02 02:02:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:02:03 - mmengine - INFO - Saving checkpoint at 300 epochs 2022/11/02 02:03:47 - mmengine - INFO - Epoch(train) [301][5/63] lr: 1.0000e-05 eta: 12:25:52 time: 10.2857 data_time: 9.4707 memory: 27783 loss: 0.1910 loss_text: 0.1319 loss_kernel: 0.0590 2022/11/02 02:03:52 - mmengine - INFO - Epoch(train) [301][10/63] lr: 1.0000e-05 eta: 12:26:33 time: 10.3464 data_time: 9.4838 memory: 27783 loss: 0.1700 loss_text: 0.1164 loss_kernel: 0.0536 2022/11/02 02:03:56 - mmengine - INFO - Epoch(train) [301][15/63] lr: 1.0000e-05 eta: 12:26:33 time: 0.8704 data_time: 0.0214 memory: 27783 loss: 0.1734 loss_text: 0.1186 loss_kernel: 0.0548 2022/11/02 02:04:00 - mmengine - INFO - Epoch(train) [301][20/63] lr: 1.0000e-05 eta: 12:25:55 time: 0.8564 data_time: 0.0180 memory: 27783 loss: 0.1730 loss_text: 0.1190 loss_kernel: 0.0541 2022/11/02 02:04:05 - mmengine - INFO - Epoch(train) [301][25/63] lr: 1.0000e-05 eta: 12:25:55 time: 0.8768 data_time: 0.0314 memory: 27783 loss: 0.2051 loss_text: 0.1415 loss_kernel: 0.0636 2022/11/02 02:04:09 - mmengine - INFO - Epoch(train) [301][30/63] lr: 1.0000e-05 eta: 12:25:16 time: 0.8866 data_time: 0.0195 memory: 27783 loss: 0.2037 loss_text: 0.1397 loss_kernel: 0.0639 2022/11/02 02:04:13 - mmengine - INFO - Epoch(train) [301][35/63] lr: 1.0000e-05 eta: 12:25:16 time: 0.8743 data_time: 0.0173 memory: 27783 loss: 0.2428 loss_text: 0.1668 loss_kernel: 0.0760 2022/11/02 02:04:18 - mmengine - INFO - Epoch(train) [301][40/63] lr: 1.0000e-05 eta: 12:24:37 time: 0.8536 data_time: 0.0181 memory: 27783 loss: 0.2643 loss_text: 0.1824 loss_kernel: 0.0819 2022/11/02 02:04:22 - mmengine - INFO - Epoch(train) [301][45/63] lr: 1.0000e-05 eta: 12:24:37 time: 0.8673 data_time: 0.0161 memory: 27783 loss: 0.1605 loss_text: 0.1096 loss_kernel: 0.0509 2022/11/02 02:04:27 - mmengine - INFO - Epoch(train) [301][50/63] lr: 1.0000e-05 eta: 12:23:59 time: 0.8801 data_time: 0.0272 memory: 27783 loss: 0.1467 loss_text: 0.0994 loss_kernel: 0.0473 2022/11/02 02:04:31 - mmengine - INFO - Epoch(train) [301][55/63] lr: 1.0000e-05 eta: 12:23:59 time: 0.8558 data_time: 0.0178 memory: 27783 loss: 0.2374 loss_text: 0.1641 loss_kernel: 0.0733 2022/11/02 02:04:35 - mmengine - INFO - Epoch(train) [301][60/63] lr: 1.0000e-05 eta: 12:23:20 time: 0.8542 data_time: 0.0139 memory: 27783 loss: 0.2345 loss_text: 0.1621 loss_kernel: 0.0724 2022/11/02 02:04:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:06:17 - mmengine - INFO - Epoch(train) [302][5/63] lr: 1.0000e-05 eta: 12:23:20 time: 10.3631 data_time: 9.5439 memory: 27783 loss: 0.1379 loss_text: 0.0932 loss_kernel: 0.0447 2022/11/02 02:06:21 - mmengine - INFO - Epoch(train) [302][10/63] lr: 1.0000e-05 eta: 12:24:02 time: 10.4154 data_time: 9.5546 memory: 27783 loss: 0.1411 loss_text: 0.0957 loss_kernel: 0.0454 2022/11/02 02:06:26 - mmengine - INFO - Epoch(train) [302][15/63] lr: 1.0000e-05 eta: 12:24:02 time: 0.8621 data_time: 0.0198 memory: 27783 loss: 0.1692 loss_text: 0.1152 loss_kernel: 0.0540 2022/11/02 02:06:30 - mmengine - INFO - Epoch(train) [302][20/63] lr: 1.0000e-05 eta: 12:23:24 time: 0.8698 data_time: 0.0213 memory: 27783 loss: 0.1687 loss_text: 0.1138 loss_kernel: 0.0549 2022/11/02 02:06:35 - mmengine - INFO - Epoch(train) [302][25/63] lr: 1.0000e-05 eta: 12:23:24 time: 0.8848 data_time: 0.0277 memory: 27783 loss: 0.1525 loss_text: 0.1025 loss_kernel: 0.0500 2022/11/02 02:06:39 - mmengine - INFO - Epoch(train) [302][30/63] lr: 1.0000e-05 eta: 12:22:45 time: 0.8707 data_time: 0.0184 memory: 27783 loss: 0.1824 loss_text: 0.1248 loss_kernel: 0.0576 2022/11/02 02:06:43 - mmengine - INFO - Epoch(train) [302][35/63] lr: 1.0000e-05 eta: 12:22:45 time: 0.8804 data_time: 0.0179 memory: 27783 loss: 0.1589 loss_text: 0.1088 loss_kernel: 0.0501 2022/11/02 02:06:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:06:48 - mmengine - INFO - Epoch(train) [302][40/63] lr: 1.0000e-05 eta: 12:22:07 time: 0.8823 data_time: 0.0187 memory: 27783 loss: 0.1748 loss_text: 0.1198 loss_kernel: 0.0551 2022/11/02 02:06:52 - mmengine - INFO - Epoch(train) [302][45/63] lr: 1.0000e-05 eta: 12:22:07 time: 0.8591 data_time: 0.0177 memory: 27783 loss: 0.2618 loss_text: 0.1809 loss_kernel: 0.0809 2022/11/02 02:06:56 - mmengine - INFO - Epoch(train) [302][50/63] lr: 1.0000e-05 eta: 12:21:28 time: 0.8587 data_time: 0.0223 memory: 27783 loss: 0.2706 loss_text: 0.1870 loss_kernel: 0.0836 2022/11/02 02:07:01 - mmengine - INFO - Epoch(train) [302][55/63] lr: 1.0000e-05 eta: 12:21:28 time: 0.8572 data_time: 0.0160 memory: 27783 loss: 0.1946 loss_text: 0.1332 loss_kernel: 0.0614 2022/11/02 02:07:05 - mmengine - INFO - Epoch(train) [302][60/63] lr: 1.0000e-05 eta: 12:20:49 time: 0.8608 data_time: 0.0154 memory: 27783 loss: 0.1719 loss_text: 0.1181 loss_kernel: 0.0537 2022/11/02 02:07:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:08:46 - mmengine - INFO - Epoch(train) [303][5/63] lr: 1.0000e-05 eta: 12:20:49 time: 10.2747 data_time: 9.4628 memory: 27783 loss: 0.2215 loss_text: 0.1525 loss_kernel: 0.0690 2022/11/02 02:08:50 - mmengine - INFO - Epoch(train) [303][10/63] lr: 1.0000e-05 eta: 12:21:30 time: 10.3223 data_time: 9.4706 memory: 27783 loss: 0.2249 loss_text: 0.1542 loss_kernel: 0.0707 2022/11/02 02:08:55 - mmengine - INFO - Epoch(train) [303][15/63] lr: 1.0000e-05 eta: 12:21:30 time: 0.8601 data_time: 0.0194 memory: 27783 loss: 0.2305 loss_text: 0.1576 loss_kernel: 0.0729 2022/11/02 02:08:59 - mmengine - INFO - Epoch(train) [303][20/63] lr: 1.0000e-05 eta: 12:20:51 time: 0.8618 data_time: 0.0185 memory: 27783 loss: 0.2187 loss_text: 0.1492 loss_kernel: 0.0695 2022/11/02 02:09:03 - mmengine - INFO - Epoch(train) [303][25/63] lr: 1.0000e-05 eta: 12:20:51 time: 0.8727 data_time: 0.0217 memory: 27783 loss: 0.2014 loss_text: 0.1377 loss_kernel: 0.0637 2022/11/02 02:09:08 - mmengine - INFO - Epoch(train) [303][30/63] lr: 1.0000e-05 eta: 12:20:13 time: 0.8697 data_time: 0.0218 memory: 27783 loss: 0.2206 loss_text: 0.1515 loss_kernel: 0.0691 2022/11/02 02:09:12 - mmengine - INFO - Epoch(train) [303][35/63] lr: 1.0000e-05 eta: 12:20:13 time: 0.8710 data_time: 0.0247 memory: 27783 loss: 0.2399 loss_text: 0.1653 loss_kernel: 0.0746 2022/11/02 02:09:16 - mmengine - INFO - Epoch(train) [303][40/63] lr: 1.0000e-05 eta: 12:19:34 time: 0.8590 data_time: 0.0158 memory: 27783 loss: 0.2239 loss_text: 0.1541 loss_kernel: 0.0698 2022/11/02 02:09:21 - mmengine - INFO - Epoch(train) [303][45/63] lr: 1.0000e-05 eta: 12:19:34 time: 0.8602 data_time: 0.0164 memory: 27783 loss: 0.2172 loss_text: 0.1496 loss_kernel: 0.0677 2022/11/02 02:09:25 - mmengine - INFO - Epoch(train) [303][50/63] lr: 1.0000e-05 eta: 12:18:56 time: 0.8787 data_time: 0.0255 memory: 27783 loss: 0.2168 loss_text: 0.1492 loss_kernel: 0.0676 2022/11/02 02:09:29 - mmengine - INFO - Epoch(train) [303][55/63] lr: 1.0000e-05 eta: 12:18:56 time: 0.8630 data_time: 0.0179 memory: 27783 loss: 0.1904 loss_text: 0.1301 loss_kernel: 0.0603 2022/11/02 02:09:34 - mmengine - INFO - Epoch(train) [303][60/63] lr: 1.0000e-05 eta: 12:18:18 time: 0.8631 data_time: 0.0139 memory: 27783 loss: 0.1725 loss_text: 0.1174 loss_kernel: 0.0551 2022/11/02 02:09:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:11:15 - mmengine - INFO - Epoch(train) [304][5/63] lr: 1.0000e-05 eta: 12:18:18 time: 10.3368 data_time: 9.5253 memory: 27783 loss: 0.1739 loss_text: 0.1185 loss_kernel: 0.0553 2022/11/02 02:11:20 - mmengine - INFO - Epoch(train) [304][10/63] lr: 1.0000e-05 eta: 12:18:58 time: 10.3823 data_time: 9.5294 memory: 27783 loss: 0.1965 loss_text: 0.1348 loss_kernel: 0.0618 2022/11/02 02:11:24 - mmengine - INFO - Epoch(train) [304][15/63] lr: 1.0000e-05 eta: 12:18:58 time: 0.8696 data_time: 0.0209 memory: 27783 loss: 0.2101 loss_text: 0.1448 loss_kernel: 0.0653 2022/11/02 02:11:28 - mmengine - INFO - Epoch(train) [304][20/63] lr: 1.0000e-05 eta: 12:18:20 time: 0.8671 data_time: 0.0282 memory: 27783 loss: 0.2302 loss_text: 0.1586 loss_kernel: 0.0716 2022/11/02 02:11:33 - mmengine - INFO - Epoch(train) [304][25/63] lr: 1.0000e-05 eta: 12:18:20 time: 0.8725 data_time: 0.0392 memory: 27783 loss: 0.2314 loss_text: 0.1586 loss_kernel: 0.0728 2022/11/02 02:11:37 - mmengine - INFO - Epoch(train) [304][30/63] lr: 1.0000e-05 eta: 12:17:42 time: 0.8698 data_time: 0.0302 memory: 27783 loss: 0.2256 loss_text: 0.1538 loss_kernel: 0.0718 2022/11/02 02:11:42 - mmengine - INFO - Epoch(train) [304][35/63] lr: 1.0000e-05 eta: 12:17:42 time: 0.8624 data_time: 0.0161 memory: 27783 loss: 0.2132 loss_text: 0.1454 loss_kernel: 0.0678 2022/11/02 02:11:46 - mmengine - INFO - Epoch(train) [304][40/63] lr: 1.0000e-05 eta: 12:17:03 time: 0.8573 data_time: 0.0158 memory: 27783 loss: 0.2231 loss_text: 0.1531 loss_kernel: 0.0701 2022/11/02 02:11:50 - mmengine - INFO - Epoch(train) [304][45/63] lr: 1.0000e-05 eta: 12:17:03 time: 0.8678 data_time: 0.0207 memory: 27783 loss: 0.2022 loss_text: 0.1391 loss_kernel: 0.0632 2022/11/02 02:11:54 - mmengine - INFO - Epoch(train) [304][50/63] lr: 1.0000e-05 eta: 12:16:25 time: 0.8708 data_time: 0.0236 memory: 27783 loss: 0.1707 loss_text: 0.1170 loss_kernel: 0.0538 2022/11/02 02:11:59 - mmengine - INFO - Epoch(train) [304][55/63] lr: 1.0000e-05 eta: 12:16:25 time: 0.8561 data_time: 0.0187 memory: 27783 loss: 0.1813 loss_text: 0.1241 loss_kernel: 0.0572 2022/11/02 02:12:03 - mmengine - INFO - Epoch(train) [304][60/63] lr: 1.0000e-05 eta: 12:15:47 time: 0.8636 data_time: 0.0189 memory: 27783 loss: 0.1957 loss_text: 0.1350 loss_kernel: 0.0607 2022/11/02 02:12:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:13:44 - mmengine - INFO - Epoch(train) [305][5/63] lr: 1.0000e-05 eta: 12:15:47 time: 10.2475 data_time: 9.4464 memory: 27783 loss: 0.1911 loss_text: 0.1317 loss_kernel: 0.0594 2022/11/02 02:13:48 - mmengine - INFO - Epoch(train) [305][10/63] lr: 1.0000e-05 eta: 12:16:26 time: 10.3038 data_time: 9.4508 memory: 27783 loss: 0.1795 loss_text: 0.1223 loss_kernel: 0.0572 2022/11/02 02:13:53 - mmengine - INFO - Epoch(train) [305][15/63] lr: 1.0000e-05 eta: 12:16:26 time: 0.8649 data_time: 0.0194 memory: 27783 loss: 0.2226 loss_text: 0.1530 loss_kernel: 0.0697 2022/11/02 02:13:57 - mmengine - INFO - Epoch(train) [305][20/63] lr: 1.0000e-05 eta: 12:15:48 time: 0.8634 data_time: 0.0245 memory: 27783 loss: 0.2311 loss_text: 0.1584 loss_kernel: 0.0726 2022/11/02 02:14:01 - mmengine - INFO - Epoch(train) [305][25/63] lr: 1.0000e-05 eta: 12:15:48 time: 0.8703 data_time: 0.0239 memory: 27783 loss: 0.1949 loss_text: 0.1328 loss_kernel: 0.0622 2022/11/02 02:14:06 - mmengine - INFO - Epoch(train) [305][30/63] lr: 1.0000e-05 eta: 12:15:09 time: 0.8693 data_time: 0.0172 memory: 27783 loss: 0.1872 loss_text: 0.1282 loss_kernel: 0.0591 2022/11/02 02:14:10 - mmengine - INFO - Epoch(train) [305][35/63] lr: 1.0000e-05 eta: 12:15:09 time: 0.8735 data_time: 0.0215 memory: 27783 loss: 0.1774 loss_text: 0.1214 loss_kernel: 0.0560 2022/11/02 02:14:14 - mmengine - INFO - Epoch(train) [305][40/63] lr: 1.0000e-05 eta: 12:14:31 time: 0.8622 data_time: 0.0163 memory: 27783 loss: 0.1846 loss_text: 0.1280 loss_kernel: 0.0567 2022/11/02 02:14:19 - mmengine - INFO - Epoch(train) [305][45/63] lr: 1.0000e-05 eta: 12:14:31 time: 0.8708 data_time: 0.0195 memory: 27783 loss: 0.1811 loss_text: 0.1258 loss_kernel: 0.0552 2022/11/02 02:14:23 - mmengine - INFO - Epoch(train) [305][50/63] lr: 1.0000e-05 eta: 12:13:53 time: 0.8657 data_time: 0.0248 memory: 27783 loss: 0.2180 loss_text: 0.1508 loss_kernel: 0.0672 2022/11/02 02:14:27 - mmengine - INFO - Epoch(train) [305][55/63] lr: 1.0000e-05 eta: 12:13:53 time: 0.8581 data_time: 0.0171 memory: 27783 loss: 0.2004 loss_text: 0.1379 loss_kernel: 0.0624 2022/11/02 02:14:32 - mmengine - INFO - Epoch(train) [305][60/63] lr: 1.0000e-05 eta: 12:13:15 time: 0.8742 data_time: 0.0195 memory: 27783 loss: 0.1656 loss_text: 0.1137 loss_kernel: 0.0519 2022/11/02 02:14:34 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:16:14 - mmengine - INFO - Epoch(train) [306][5/63] lr: 1.0000e-05 eta: 12:13:15 time: 10.3478 data_time: 9.5396 memory: 27783 loss: 0.2310 loss_text: 0.1585 loss_kernel: 0.0725 2022/11/02 02:16:18 - mmengine - INFO - Epoch(train) [306][10/63] lr: 1.0000e-05 eta: 12:13:55 time: 10.4150 data_time: 9.5501 memory: 27783 loss: 0.1971 loss_text: 0.1352 loss_kernel: 0.0619 2022/11/02 02:16:22 - mmengine - INFO - Epoch(train) [306][15/63] lr: 1.0000e-05 eta: 12:13:55 time: 0.8813 data_time: 0.0258 memory: 27783 loss: 0.1874 loss_text: 0.1286 loss_kernel: 0.0588 2022/11/02 02:16:27 - mmengine - INFO - Epoch(train) [306][20/63] lr: 1.0000e-05 eta: 12:13:17 time: 0.8717 data_time: 0.0230 memory: 27783 loss: 0.1734 loss_text: 0.1183 loss_kernel: 0.0550 2022/11/02 02:16:31 - mmengine - INFO - Epoch(train) [306][25/63] lr: 1.0000e-05 eta: 12:13:17 time: 0.8701 data_time: 0.0198 memory: 27783 loss: 0.1606 loss_text: 0.1091 loss_kernel: 0.0514 2022/11/02 02:16:35 - mmengine - INFO - Epoch(train) [306][30/63] lr: 1.0000e-05 eta: 12:12:39 time: 0.8691 data_time: 0.0212 memory: 27783 loss: 0.1898 loss_text: 0.1299 loss_kernel: 0.0600 2022/11/02 02:16:40 - mmengine - INFO - Epoch(train) [306][35/63] lr: 1.0000e-05 eta: 12:12:39 time: 0.8919 data_time: 0.0302 memory: 27783 loss: 0.1640 loss_text: 0.1121 loss_kernel: 0.0519 2022/11/02 02:16:44 - mmengine - INFO - Epoch(train) [306][40/63] lr: 1.0000e-05 eta: 12:12:01 time: 0.8836 data_time: 0.0187 memory: 27783 loss: 0.1659 loss_text: 0.1134 loss_kernel: 0.0525 2022/11/02 02:16:49 - mmengine - INFO - Epoch(train) [306][45/63] lr: 1.0000e-05 eta: 12:12:01 time: 0.8703 data_time: 0.0163 memory: 27783 loss: 0.2083 loss_text: 0.1428 loss_kernel: 0.0655 2022/11/02 02:16:53 - mmengine - INFO - Epoch(train) [306][50/63] lr: 1.0000e-05 eta: 12:11:23 time: 0.8861 data_time: 0.0257 memory: 27783 loss: 0.2014 loss_text: 0.1369 loss_kernel: 0.0645 2022/11/02 02:16:57 - mmengine - INFO - Epoch(train) [306][55/63] lr: 1.0000e-05 eta: 12:11:23 time: 0.8669 data_time: 0.0182 memory: 27783 loss: 0.2120 loss_text: 0.1448 loss_kernel: 0.0672 2022/11/02 02:17:02 - mmengine - INFO - Epoch(train) [306][60/63] lr: 1.0000e-05 eta: 12:10:44 time: 0.8530 data_time: 0.0154 memory: 27783 loss: 0.2028 loss_text: 0.1393 loss_kernel: 0.0634 2022/11/02 02:17:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:18:43 - mmengine - INFO - Epoch(train) [307][5/63] lr: 1.0000e-05 eta: 12:10:44 time: 10.2938 data_time: 9.4722 memory: 27783 loss: 0.1597 loss_text: 0.1094 loss_kernel: 0.0503 2022/11/02 02:18:48 - mmengine - INFO - Epoch(train) [307][10/63] lr: 1.0000e-05 eta: 12:11:24 time: 10.3557 data_time: 9.4863 memory: 27783 loss: 0.1691 loss_text: 0.1161 loss_kernel: 0.0530 2022/11/02 02:18:52 - mmengine - INFO - Epoch(train) [307][15/63] lr: 1.0000e-05 eta: 12:11:24 time: 0.8665 data_time: 0.0222 memory: 27783 loss: 0.2209 loss_text: 0.1520 loss_kernel: 0.0689 2022/11/02 02:18:56 - mmengine - INFO - Epoch(train) [307][20/63] lr: 1.0000e-05 eta: 12:10:45 time: 0.8732 data_time: 0.0153 memory: 27783 loss: 0.2262 loss_text: 0.1549 loss_kernel: 0.0713 2022/11/02 02:19:01 - mmengine - INFO - Epoch(train) [307][25/63] lr: 1.0000e-05 eta: 12:10:45 time: 0.8950 data_time: 0.0267 memory: 27783 loss: 0.1887 loss_text: 0.1283 loss_kernel: 0.0604 2022/11/02 02:19:05 - mmengine - INFO - Epoch(train) [307][30/63] lr: 1.0000e-05 eta: 12:10:07 time: 0.8781 data_time: 0.0190 memory: 27783 loss: 0.1766 loss_text: 0.1202 loss_kernel: 0.0563 2022/11/02 02:19:09 - mmengine - INFO - Epoch(train) [307][35/63] lr: 1.0000e-05 eta: 12:10:07 time: 0.8749 data_time: 0.0172 memory: 27783 loss: 0.1783 loss_text: 0.1222 loss_kernel: 0.0561 2022/11/02 02:19:14 - mmengine - INFO - Epoch(train) [307][40/63] lr: 1.0000e-05 eta: 12:09:29 time: 0.8746 data_time: 0.0187 memory: 27783 loss: 0.1734 loss_text: 0.1186 loss_kernel: 0.0548 2022/11/02 02:19:18 - mmengine - INFO - Epoch(train) [307][45/63] lr: 1.0000e-05 eta: 12:09:29 time: 0.8789 data_time: 0.0189 memory: 27783 loss: 0.1504 loss_text: 0.1016 loss_kernel: 0.0488 2022/11/02 02:19:23 - mmengine - INFO - Epoch(train) [307][50/63] lr: 1.0000e-05 eta: 12:08:52 time: 0.8771 data_time: 0.0270 memory: 27783 loss: 0.1594 loss_text: 0.1082 loss_kernel: 0.0512 2022/11/02 02:19:27 - mmengine - INFO - Epoch(train) [307][55/63] lr: 1.0000e-05 eta: 12:08:52 time: 0.8642 data_time: 0.0185 memory: 27783 loss: 0.1745 loss_text: 0.1189 loss_kernel: 0.0557 2022/11/02 02:19:31 - mmengine - INFO - Epoch(train) [307][60/63] lr: 1.0000e-05 eta: 12:08:14 time: 0.8657 data_time: 0.0150 memory: 27783 loss: 0.1848 loss_text: 0.1260 loss_kernel: 0.0587 2022/11/02 02:19:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:21:13 - mmengine - INFO - Epoch(train) [308][5/63] lr: 1.0000e-05 eta: 12:08:14 time: 10.3776 data_time: 9.5640 memory: 27783 loss: 0.1789 loss_text: 0.1229 loss_kernel: 0.0560 2022/11/02 02:21:18 - mmengine - INFO - Epoch(train) [308][10/63] lr: 1.0000e-05 eta: 12:08:53 time: 10.4300 data_time: 9.5740 memory: 27783 loss: 0.2028 loss_text: 0.1402 loss_kernel: 0.0626 2022/11/02 02:21:22 - mmengine - INFO - Epoch(train) [308][15/63] lr: 1.0000e-05 eta: 12:08:53 time: 0.8731 data_time: 0.0199 memory: 27783 loss: 0.1796 loss_text: 0.1244 loss_kernel: 0.0551 2022/11/02 02:21:27 - mmengine - INFO - Epoch(train) [308][20/63] lr: 1.0000e-05 eta: 12:08:15 time: 0.8807 data_time: 0.0208 memory: 27783 loss: 0.1713 loss_text: 0.1173 loss_kernel: 0.0541 2022/11/02 02:21:31 - mmengine - INFO - Epoch(train) [308][25/63] lr: 1.0000e-05 eta: 12:08:15 time: 0.8890 data_time: 0.0211 memory: 27783 loss: 0.1713 loss_text: 0.1173 loss_kernel: 0.0540 2022/11/02 02:21:35 - mmengine - INFO - Epoch(train) [308][30/63] lr: 1.0000e-05 eta: 12:07:37 time: 0.8744 data_time: 0.0180 memory: 27783 loss: 0.1864 loss_text: 0.1277 loss_kernel: 0.0588 2022/11/02 02:21:40 - mmengine - INFO - Epoch(train) [308][35/63] lr: 1.0000e-05 eta: 12:07:37 time: 0.8764 data_time: 0.0273 memory: 27783 loss: 0.1873 loss_text: 0.1275 loss_kernel: 0.0599 2022/11/02 02:21:44 - mmengine - INFO - Epoch(train) [308][40/63] lr: 1.0000e-05 eta: 12:06:59 time: 0.8640 data_time: 0.0171 memory: 27783 loss: 0.1923 loss_text: 0.1307 loss_kernel: 0.0616 2022/11/02 02:21:48 - mmengine - INFO - Epoch(train) [308][45/63] lr: 1.0000e-05 eta: 12:06:59 time: 0.8632 data_time: 0.0176 memory: 27783 loss: 0.1944 loss_text: 0.1325 loss_kernel: 0.0619 2022/11/02 02:21:53 - mmengine - INFO - Epoch(train) [308][50/63] lr: 1.0000e-05 eta: 12:06:21 time: 0.8843 data_time: 0.0247 memory: 27783 loss: 0.1673 loss_text: 0.1143 loss_kernel: 0.0530 2022/11/02 02:21:57 - mmengine - INFO - Epoch(train) [308][55/63] lr: 1.0000e-05 eta: 12:06:21 time: 0.8683 data_time: 0.0169 memory: 27783 loss: 0.1743 loss_text: 0.1184 loss_kernel: 0.0560 2022/11/02 02:22:01 - mmengine - INFO - Epoch(train) [308][60/63] lr: 1.0000e-05 eta: 12:05:43 time: 0.8487 data_time: 0.0169 memory: 27783 loss: 0.1958 loss_text: 0.1338 loss_kernel: 0.0620 2022/11/02 02:22:04 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:23:43 - mmengine - INFO - Epoch(train) [309][5/63] lr: 1.0000e-05 eta: 12:05:43 time: 10.2730 data_time: 9.4696 memory: 27783 loss: 0.2127 loss_text: 0.1464 loss_kernel: 0.0663 2022/11/02 02:23:47 - mmengine - INFO - Epoch(train) [309][10/63] lr: 1.0000e-05 eta: 12:06:21 time: 10.3365 data_time: 9.4889 memory: 27783 loss: 0.2080 loss_text: 0.1425 loss_kernel: 0.0655 2022/11/02 02:23:51 - mmengine - INFO - Epoch(train) [309][15/63] lr: 1.0000e-05 eta: 12:06:21 time: 0.8752 data_time: 0.0276 memory: 27783 loss: 0.1686 loss_text: 0.1141 loss_kernel: 0.0545 2022/11/02 02:23:56 - mmengine - INFO - Epoch(train) [309][20/63] lr: 1.0000e-05 eta: 12:05:43 time: 0.8607 data_time: 0.0185 memory: 27783 loss: 0.1974 loss_text: 0.1350 loss_kernel: 0.0624 2022/11/02 02:24:00 - mmengine - INFO - Epoch(train) [309][25/63] lr: 1.0000e-05 eta: 12:05:43 time: 0.8640 data_time: 0.0269 memory: 27783 loss: 0.2195 loss_text: 0.1506 loss_kernel: 0.0689 2022/11/02 02:24:04 - mmengine - INFO - Epoch(train) [309][30/63] lr: 1.0000e-05 eta: 12:05:05 time: 0.8603 data_time: 0.0166 memory: 27783 loss: 0.1799 loss_text: 0.1227 loss_kernel: 0.0571 2022/11/02 02:24:09 - mmengine - INFO - Epoch(train) [309][35/63] lr: 1.0000e-05 eta: 12:05:05 time: 0.8679 data_time: 0.0211 memory: 27783 loss: 0.1574 loss_text: 0.1075 loss_kernel: 0.0499 2022/11/02 02:24:13 - mmengine - INFO - Epoch(train) [309][40/63] lr: 1.0000e-05 eta: 12:04:27 time: 0.8592 data_time: 0.0199 memory: 27783 loss: 0.1878 loss_text: 0.1282 loss_kernel: 0.0596 2022/11/02 02:24:17 - mmengine - INFO - Epoch(train) [309][45/63] lr: 1.0000e-05 eta: 12:04:27 time: 0.8567 data_time: 0.0176 memory: 27783 loss: 0.1986 loss_text: 0.1351 loss_kernel: 0.0635 2022/11/02 02:24:22 - mmengine - INFO - Epoch(train) [309][50/63] lr: 1.0000e-05 eta: 12:03:50 time: 0.8730 data_time: 0.0263 memory: 27783 loss: 0.2179 loss_text: 0.1487 loss_kernel: 0.0691 2022/11/02 02:24:26 - mmengine - INFO - Epoch(train) [309][55/63] lr: 1.0000e-05 eta: 12:03:50 time: 0.8547 data_time: 0.0164 memory: 27783 loss: 0.2136 loss_text: 0.1458 loss_kernel: 0.0677 2022/11/02 02:24:30 - mmengine - INFO - Epoch(train) [309][60/63] lr: 1.0000e-05 eta: 12:03:12 time: 0.8474 data_time: 0.0142 memory: 27783 loss: 0.2093 loss_text: 0.1434 loss_kernel: 0.0659 2022/11/02 02:24:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:26:12 - mmengine - INFO - Epoch(train) [310][5/63] lr: 1.0000e-05 eta: 12:03:12 time: 10.3601 data_time: 9.5518 memory: 27783 loss: 0.1998 loss_text: 0.1369 loss_kernel: 0.0628 2022/11/02 02:26:17 - mmengine - INFO - Epoch(train) [310][10/63] lr: 1.0000e-05 eta: 12:03:50 time: 10.4230 data_time: 9.5695 memory: 27783 loss: 0.2183 loss_text: 0.1499 loss_kernel: 0.0683 2022/11/02 02:26:21 - mmengine - INFO - Epoch(train) [310][15/63] lr: 1.0000e-05 eta: 12:03:50 time: 0.8769 data_time: 0.0243 memory: 27783 loss: 0.2097 loss_text: 0.1442 loss_kernel: 0.0655 2022/11/02 02:26:25 - mmengine - INFO - Epoch(train) [310][20/63] lr: 1.0000e-05 eta: 12:03:12 time: 0.8696 data_time: 0.0212 memory: 27783 loss: 0.1906 loss_text: 0.1310 loss_kernel: 0.0596 2022/11/02 02:26:30 - mmengine - INFO - Epoch(train) [310][25/63] lr: 1.0000e-05 eta: 12:03:12 time: 0.8837 data_time: 0.0311 memory: 27783 loss: 0.1980 loss_text: 0.1355 loss_kernel: 0.0625 2022/11/02 02:26:34 - mmengine - INFO - Epoch(train) [310][30/63] lr: 1.0000e-05 eta: 12:02:34 time: 0.8750 data_time: 0.0164 memory: 27783 loss: 0.2096 loss_text: 0.1436 loss_kernel: 0.0660 2022/11/02 02:26:38 - mmengine - INFO - Epoch(train) [310][35/63] lr: 1.0000e-05 eta: 12:02:34 time: 0.8766 data_time: 0.0185 memory: 27783 loss: 0.2061 loss_text: 0.1421 loss_kernel: 0.0641 2022/11/02 02:26:43 - mmengine - INFO - Epoch(train) [310][40/63] lr: 1.0000e-05 eta: 12:01:57 time: 0.8652 data_time: 0.0191 memory: 27783 loss: 0.1713 loss_text: 0.1172 loss_kernel: 0.0541 2022/11/02 02:26:47 - mmengine - INFO - Epoch(train) [310][45/63] lr: 1.0000e-05 eta: 12:01:57 time: 0.8548 data_time: 0.0159 memory: 27783 loss: 0.1546 loss_text: 0.1051 loss_kernel: 0.0496 2022/11/02 02:26:51 - mmengine - INFO - Epoch(train) [310][50/63] lr: 1.0000e-05 eta: 12:01:19 time: 0.8732 data_time: 0.0261 memory: 27783 loss: 0.2140 loss_text: 0.1467 loss_kernel: 0.0673 2022/11/02 02:26:56 - mmengine - INFO - Epoch(train) [310][55/63] lr: 1.0000e-05 eta: 12:01:19 time: 0.8615 data_time: 0.0172 memory: 27783 loss: 0.2434 loss_text: 0.1672 loss_kernel: 0.0763 2022/11/02 02:27:00 - mmengine - INFO - Epoch(train) [310][60/63] lr: 1.0000e-05 eta: 12:00:41 time: 0.8594 data_time: 0.0142 memory: 27783 loss: 0.2103 loss_text: 0.1446 loss_kernel: 0.0658 2022/11/02 02:27:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:28:42 - mmengine - INFO - Epoch(train) [311][5/63] lr: 1.0000e-05 eta: 12:00:41 time: 10.3137 data_time: 9.5011 memory: 27783 loss: 0.2346 loss_text: 0.1614 loss_kernel: 0.0733 2022/11/02 02:28:46 - mmengine - INFO - Epoch(train) [311][10/63] lr: 1.0000e-05 eta: 12:01:18 time: 10.3651 data_time: 9.5036 memory: 27783 loss: 0.2033 loss_text: 0.1386 loss_kernel: 0.0648 2022/11/02 02:28:50 - mmengine - INFO - Epoch(train) [311][15/63] lr: 1.0000e-05 eta: 12:01:18 time: 0.8815 data_time: 0.0179 memory: 27783 loss: 0.1437 loss_text: 0.0973 loss_kernel: 0.0464 2022/11/02 02:28:55 - mmengine - INFO - Epoch(train) [311][20/63] lr: 1.0000e-05 eta: 12:00:41 time: 0.8900 data_time: 0.0273 memory: 27783 loss: 0.1219 loss_text: 0.0823 loss_kernel: 0.0395 2022/11/02 02:28:59 - mmengine - INFO - Epoch(train) [311][25/63] lr: 1.0000e-05 eta: 12:00:41 time: 0.8757 data_time: 0.0195 memory: 27783 loss: 0.1396 loss_text: 0.0957 loss_kernel: 0.0439 2022/11/02 02:29:04 - mmengine - INFO - Epoch(train) [311][30/63] lr: 1.0000e-05 eta: 12:00:03 time: 0.8698 data_time: 0.0187 memory: 27783 loss: 0.1898 loss_text: 0.1314 loss_kernel: 0.0583 2022/11/02 02:29:08 - mmengine - INFO - Epoch(train) [311][35/63] lr: 1.0000e-05 eta: 12:00:03 time: 0.8891 data_time: 0.0207 memory: 27783 loss: 0.1709 loss_text: 0.1175 loss_kernel: 0.0535 2022/11/02 02:29:12 - mmengine - INFO - Epoch(train) [311][40/63] lr: 1.0000e-05 eta: 11:59:26 time: 0.8874 data_time: 0.0183 memory: 27783 loss: 0.1772 loss_text: 0.1215 loss_kernel: 0.0557 2022/11/02 02:29:17 - mmengine - INFO - Epoch(train) [311][45/63] lr: 1.0000e-05 eta: 11:59:26 time: 0.8833 data_time: 0.0274 memory: 27783 loss: 0.2072 loss_text: 0.1424 loss_kernel: 0.0649 2022/11/02 02:29:21 - mmengine - INFO - Epoch(train) [311][50/63] lr: 1.0000e-05 eta: 11:58:48 time: 0.8707 data_time: 0.0210 memory: 27783 loss: 0.2138 loss_text: 0.1469 loss_kernel: 0.0669 2022/11/02 02:29:25 - mmengine - INFO - Epoch(train) [311][55/63] lr: 1.0000e-05 eta: 11:58:48 time: 0.8621 data_time: 0.0162 memory: 27783 loss: 0.2401 loss_text: 0.1649 loss_kernel: 0.0752 2022/11/02 02:29:30 - mmengine - INFO - Epoch(train) [311][60/63] lr: 1.0000e-05 eta: 11:58:10 time: 0.8571 data_time: 0.0205 memory: 27783 loss: 0.2500 loss_text: 0.1715 loss_kernel: 0.0785 2022/11/02 02:29:32 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:31:12 - mmengine - INFO - Epoch(train) [312][5/63] lr: 1.0000e-05 eta: 11:58:10 time: 10.3834 data_time: 9.5887 memory: 27783 loss: 0.2743 loss_text: 0.1892 loss_kernel: 0.0850 2022/11/02 02:31:16 - mmengine - INFO - Epoch(train) [312][10/63] lr: 1.0000e-05 eta: 11:58:48 time: 10.4528 data_time: 9.5991 memory: 27783 loss: 0.1822 loss_text: 0.1242 loss_kernel: 0.0580 2022/11/02 02:31:21 - mmengine - INFO - Epoch(train) [312][15/63] lr: 1.0000e-05 eta: 11:58:48 time: 0.8764 data_time: 0.0219 memory: 27783 loss: 0.1868 loss_text: 0.1277 loss_kernel: 0.0590 2022/11/02 02:31:25 - mmengine - INFO - Epoch(train) [312][20/63] lr: 1.0000e-05 eta: 11:58:11 time: 0.8624 data_time: 0.0169 memory: 27783 loss: 0.1723 loss_text: 0.1181 loss_kernel: 0.0542 2022/11/02 02:31:29 - mmengine - INFO - Epoch(train) [312][25/63] lr: 1.0000e-05 eta: 11:58:11 time: 0.8606 data_time: 0.0243 memory: 27783 loss: 0.1603 loss_text: 0.1098 loss_kernel: 0.0506 2022/11/02 02:31:34 - mmengine - INFO - Epoch(train) [312][30/63] lr: 1.0000e-05 eta: 11:57:33 time: 0.8599 data_time: 0.0153 memory: 27783 loss: 0.1869 loss_text: 0.1277 loss_kernel: 0.0592 2022/11/02 02:31:38 - mmengine - INFO - Epoch(train) [312][35/63] lr: 1.0000e-05 eta: 11:57:33 time: 0.8732 data_time: 0.0163 memory: 27783 loss: 0.2012 loss_text: 0.1396 loss_kernel: 0.0616 2022/11/02 02:31:43 - mmengine - INFO - Epoch(train) [312][40/63] lr: 1.0000e-05 eta: 11:56:55 time: 0.8876 data_time: 0.0188 memory: 27783 loss: 0.1965 loss_text: 0.1372 loss_kernel: 0.0593 2022/11/02 02:31:47 - mmengine - INFO - Epoch(train) [312][45/63] lr: 1.0000e-05 eta: 11:56:55 time: 0.8779 data_time: 0.0193 memory: 27783 loss: 0.2002 loss_text: 0.1381 loss_kernel: 0.0622 2022/11/02 02:31:51 - mmengine - INFO - Epoch(train) [312][50/63] lr: 1.0000e-05 eta: 11:56:18 time: 0.8705 data_time: 0.0230 memory: 27783 loss: 0.2131 loss_text: 0.1460 loss_kernel: 0.0671 2022/11/02 02:31:56 - mmengine - INFO - Epoch(train) [312][55/63] lr: 1.0000e-05 eta: 11:56:18 time: 0.8632 data_time: 0.0166 memory: 27783 loss: 0.2216 loss_text: 0.1525 loss_kernel: 0.0691 2022/11/02 02:32:00 - mmengine - INFO - Epoch(train) [312][60/63] lr: 1.0000e-05 eta: 11:55:40 time: 0.8548 data_time: 0.0176 memory: 27783 loss: 0.2443 loss_text: 0.1691 loss_kernel: 0.0752 2022/11/02 02:32:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:33:41 - mmengine - INFO - Epoch(train) [313][5/63] lr: 1.0000e-05 eta: 11:55:40 time: 10.3034 data_time: 9.4895 memory: 27783 loss: 0.2020 loss_text: 0.1391 loss_kernel: 0.0629 2022/11/02 02:33:46 - mmengine - INFO - Epoch(train) [313][10/63] lr: 1.0000e-05 eta: 11:56:17 time: 10.3615 data_time: 9.5015 memory: 27783 loss: 0.1862 loss_text: 0.1276 loss_kernel: 0.0586 2022/11/02 02:33:50 - mmengine - INFO - Epoch(train) [313][15/63] lr: 1.0000e-05 eta: 11:56:17 time: 0.8724 data_time: 0.0216 memory: 27783 loss: 0.1795 loss_text: 0.1227 loss_kernel: 0.0568 2022/11/02 02:33:54 - mmengine - INFO - Epoch(train) [313][20/63] lr: 1.0000e-05 eta: 11:55:39 time: 0.8702 data_time: 0.0167 memory: 27783 loss: 0.1797 loss_text: 0.1238 loss_kernel: 0.0559 2022/11/02 02:33:59 - mmengine - INFO - Epoch(train) [313][25/63] lr: 1.0000e-05 eta: 11:55:39 time: 0.8780 data_time: 0.0266 memory: 27783 loss: 0.1839 loss_text: 0.1263 loss_kernel: 0.0576 2022/11/02 02:34:03 - mmengine - INFO - Epoch(train) [313][30/63] lr: 1.0000e-05 eta: 11:55:02 time: 0.8650 data_time: 0.0177 memory: 27783 loss: 0.2027 loss_text: 0.1388 loss_kernel: 0.0639 2022/11/02 02:34:07 - mmengine - INFO - Epoch(train) [313][35/63] lr: 1.0000e-05 eta: 11:55:02 time: 0.8547 data_time: 0.0165 memory: 27783 loss: 0.1976 loss_text: 0.1358 loss_kernel: 0.0619 2022/11/02 02:34:12 - mmengine - INFO - Epoch(train) [313][40/63] lr: 1.0000e-05 eta: 11:54:24 time: 0.8642 data_time: 0.0188 memory: 27783 loss: 0.1876 loss_text: 0.1283 loss_kernel: 0.0593 2022/11/02 02:34:16 - mmengine - INFO - Epoch(train) [313][45/63] lr: 1.0000e-05 eta: 11:54:24 time: 0.8726 data_time: 0.0183 memory: 27783 loss: 0.2020 loss_text: 0.1382 loss_kernel: 0.0638 2022/11/02 02:34:20 - mmengine - INFO - Epoch(train) [313][50/63] lr: 1.0000e-05 eta: 11:53:47 time: 0.8764 data_time: 0.0298 memory: 27783 loss: 0.1864 loss_text: 0.1271 loss_kernel: 0.0593 2022/11/02 02:34:25 - mmengine - INFO - Epoch(train) [313][55/63] lr: 1.0000e-05 eta: 11:53:47 time: 0.8625 data_time: 0.0196 memory: 27783 loss: 0.1777 loss_text: 0.1202 loss_kernel: 0.0574 2022/11/02 02:34:29 - mmengine - INFO - Epoch(train) [313][60/63] lr: 1.0000e-05 eta: 11:53:09 time: 0.8508 data_time: 0.0142 memory: 27783 loss: 0.2012 loss_text: 0.1369 loss_kernel: 0.0642 2022/11/02 02:34:31 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:36:13 - mmengine - INFO - Epoch(train) [314][5/63] lr: 1.0000e-05 eta: 11:53:09 time: 10.5334 data_time: 9.6835 memory: 27783 loss: 0.1576 loss_text: 0.1086 loss_kernel: 0.0491 2022/11/02 02:36:17 - mmengine - INFO - Epoch(train) [314][10/63] lr: 1.0000e-05 eta: 11:53:48 time: 10.6228 data_time: 9.6982 memory: 27783 loss: 0.1537 loss_text: 0.1051 loss_kernel: 0.0486 2022/11/02 02:36:22 - mmengine - INFO - Epoch(train) [314][15/63] lr: 1.0000e-05 eta: 11:53:48 time: 0.9349 data_time: 0.0212 memory: 27783 loss: 0.2223 loss_text: 0.1527 loss_kernel: 0.0695 2022/11/02 02:36:27 - mmengine - INFO - Epoch(train) [314][20/63] lr: 1.0000e-05 eta: 11:53:11 time: 0.9500 data_time: 0.0202 memory: 27783 loss: 0.2371 loss_text: 0.1631 loss_kernel: 0.0740 2022/11/02 02:36:32 - mmengine - INFO - Epoch(train) [314][25/63] lr: 1.0000e-05 eta: 11:53:11 time: 0.9657 data_time: 0.0309 memory: 27783 loss: 0.1896 loss_text: 0.1295 loss_kernel: 0.0600 2022/11/02 02:36:37 - mmengine - INFO - Epoch(train) [314][30/63] lr: 1.0000e-05 eta: 11:52:34 time: 0.9665 data_time: 0.0272 memory: 27783 loss: 0.2091 loss_text: 0.1430 loss_kernel: 0.0661 2022/11/02 02:36:41 - mmengine - INFO - Epoch(train) [314][35/63] lr: 1.0000e-05 eta: 11:52:34 time: 0.9597 data_time: 0.0269 memory: 27783 loss: 0.1910 loss_text: 0.1306 loss_kernel: 0.0604 2022/11/02 02:36:46 - mmengine - INFO - Epoch(train) [314][40/63] lr: 1.0000e-05 eta: 11:51:58 time: 0.9306 data_time: 0.0190 memory: 27783 loss: 0.1814 loss_text: 0.1248 loss_kernel: 0.0566 2022/11/02 02:36:50 - mmengine - INFO - Epoch(train) [314][45/63] lr: 1.0000e-05 eta: 11:51:58 time: 0.9075 data_time: 0.0177 memory: 27783 loss: 0.2380 loss_text: 0.1641 loss_kernel: 0.0739 2022/11/02 02:36:55 - mmengine - INFO - Epoch(train) [314][50/63] lr: 1.0000e-05 eta: 11:51:21 time: 0.9311 data_time: 0.0258 memory: 27783 loss: 0.2195 loss_text: 0.1521 loss_kernel: 0.0675 2022/11/02 02:37:00 - mmengine - INFO - Epoch(train) [314][55/63] lr: 1.0000e-05 eta: 11:51:21 time: 0.9496 data_time: 0.0190 memory: 27783 loss: 0.1975 loss_text: 0.1369 loss_kernel: 0.0606 2022/11/02 02:37:04 - mmengine - INFO - Epoch(train) [314][60/63] lr: 1.0000e-05 eta: 11:50:44 time: 0.9260 data_time: 0.0168 memory: 27783 loss: 0.1762 loss_text: 0.1207 loss_kernel: 0.0555 2022/11/02 02:37:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:38:47 - mmengine - INFO - Epoch(train) [315][5/63] lr: 1.0000e-05 eta: 11:50:44 time: 10.3865 data_time: 9.5228 memory: 27783 loss: 0.2036 loss_text: 0.1396 loss_kernel: 0.0640 2022/11/02 02:38:52 - mmengine - INFO - Epoch(train) [315][10/63] lr: 1.0000e-05 eta: 11:51:21 time: 10.4812 data_time: 9.5340 memory: 27783 loss: 0.2012 loss_text: 0.1387 loss_kernel: 0.0625 2022/11/02 02:38:56 - mmengine - INFO - Epoch(train) [315][15/63] lr: 1.0000e-05 eta: 11:51:21 time: 0.9043 data_time: 0.0200 memory: 27783 loss: 0.2156 loss_text: 0.1483 loss_kernel: 0.0672 2022/11/02 02:39:01 - mmengine - INFO - Epoch(train) [315][20/63] lr: 1.0000e-05 eta: 11:50:44 time: 0.9045 data_time: 0.0185 memory: 27783 loss: 0.1932 loss_text: 0.1323 loss_kernel: 0.0608 2022/11/02 02:39:05 - mmengine - INFO - Epoch(train) [315][25/63] lr: 1.0000e-05 eta: 11:50:44 time: 0.9564 data_time: 0.0262 memory: 27783 loss: 0.1626 loss_text: 0.1111 loss_kernel: 0.0515 2022/11/02 02:39:10 - mmengine - INFO - Epoch(train) [315][30/63] lr: 1.0000e-05 eta: 11:50:07 time: 0.9500 data_time: 0.0222 memory: 27783 loss: 0.1978 loss_text: 0.1358 loss_kernel: 0.0620 2022/11/02 02:39:15 - mmengine - INFO - Epoch(train) [315][35/63] lr: 1.0000e-05 eta: 11:50:07 time: 0.9537 data_time: 0.0244 memory: 27783 loss: 0.2083 loss_text: 0.1429 loss_kernel: 0.0654 2022/11/02 02:39:19 - mmengine - INFO - Epoch(train) [315][40/63] lr: 1.0000e-05 eta: 11:49:30 time: 0.9217 data_time: 0.0187 memory: 27783 loss: 0.2254 loss_text: 0.1549 loss_kernel: 0.0705 2022/11/02 02:39:24 - mmengine - INFO - Epoch(train) [315][45/63] lr: 1.0000e-05 eta: 11:49:30 time: 0.9408 data_time: 0.0191 memory: 27783 loss: 0.2378 loss_text: 0.1635 loss_kernel: 0.0743 2022/11/02 02:39:29 - mmengine - INFO - Epoch(train) [315][50/63] lr: 1.0000e-05 eta: 11:48:54 time: 0.9903 data_time: 0.0302 memory: 27783 loss: 0.2190 loss_text: 0.1510 loss_kernel: 0.0680 2022/11/02 02:39:34 - mmengine - INFO - Epoch(train) [315][55/63] lr: 1.0000e-05 eta: 11:48:54 time: 0.9690 data_time: 0.0228 memory: 27783 loss: 0.1926 loss_text: 0.1326 loss_kernel: 0.0600 2022/11/02 02:39:39 - mmengine - INFO - Epoch(train) [315][60/63] lr: 1.0000e-05 eta: 11:48:18 time: 0.9548 data_time: 0.0229 memory: 27783 loss: 0.2177 loss_text: 0.1501 loss_kernel: 0.0677 2022/11/02 02:39:41 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:41:21 - mmengine - INFO - Epoch(train) [316][5/63] lr: 1.0000e-05 eta: 11:48:18 time: 10.4404 data_time: 9.5716 memory: 27783 loss: 0.2123 loss_text: 0.1451 loss_kernel: 0.0672 2022/11/02 02:41:26 - mmengine - INFO - Epoch(train) [316][10/63] lr: 1.0000e-05 eta: 11:48:54 time: 10.5083 data_time: 9.5767 memory: 27783 loss: 0.1844 loss_text: 0.1256 loss_kernel: 0.0588 2022/11/02 02:41:31 - mmengine - INFO - Epoch(train) [316][15/63] lr: 1.0000e-05 eta: 11:48:54 time: 0.9656 data_time: 0.0264 memory: 27783 loss: 0.1944 loss_text: 0.1326 loss_kernel: 0.0618 2022/11/02 02:41:36 - mmengine - INFO - Epoch(train) [316][20/63] lr: 1.0000e-05 eta: 11:48:17 time: 0.9444 data_time: 0.0315 memory: 27783 loss: 0.2149 loss_text: 0.1478 loss_kernel: 0.0671 2022/11/02 02:41:40 - mmengine - INFO - Epoch(train) [316][25/63] lr: 1.0000e-05 eta: 11:48:17 time: 0.9318 data_time: 0.0201 memory: 27783 loss: 0.2103 loss_text: 0.1451 loss_kernel: 0.0652 2022/11/02 02:41:45 - mmengine - INFO - Epoch(train) [316][30/63] lr: 1.0000e-05 eta: 11:47:41 time: 0.9196 data_time: 0.0157 memory: 27783 loss: 0.2072 loss_text: 0.1416 loss_kernel: 0.0656 2022/11/02 02:41:50 - mmengine - INFO - Epoch(train) [316][35/63] lr: 1.0000e-05 eta: 11:47:41 time: 0.9301 data_time: 0.0286 memory: 27783 loss: 0.2086 loss_text: 0.1426 loss_kernel: 0.0660 2022/11/02 02:41:55 - mmengine - INFO - Epoch(train) [316][40/63] lr: 1.0000e-05 eta: 11:47:04 time: 0.9755 data_time: 0.0225 memory: 27783 loss: 0.2194 loss_text: 0.1514 loss_kernel: 0.0679 2022/11/02 02:42:00 - mmengine - INFO - Epoch(train) [316][45/63] lr: 1.0000e-05 eta: 11:47:04 time: 0.9855 data_time: 0.0224 memory: 27783 loss: 0.2145 loss_text: 0.1481 loss_kernel: 0.0664 2022/11/02 02:42:04 - mmengine - INFO - Epoch(train) [316][50/63] lr: 1.0000e-05 eta: 11:46:28 time: 0.9454 data_time: 0.0246 memory: 27783 loss: 0.1753 loss_text: 0.1196 loss_kernel: 0.0558 2022/11/02 02:42:09 - mmengine - INFO - Epoch(train) [316][55/63] lr: 1.0000e-05 eta: 11:46:28 time: 0.9266 data_time: 0.0194 memory: 27783 loss: 0.1349 loss_text: 0.0908 loss_kernel: 0.0441 2022/11/02 02:42:14 - mmengine - INFO - Epoch(train) [316][60/63] lr: 1.0000e-05 eta: 11:45:51 time: 0.9457 data_time: 0.0242 memory: 27783 loss: 0.1544 loss_text: 0.1052 loss_kernel: 0.0492 2022/11/02 02:42:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:43:56 - mmengine - INFO - Epoch(train) [317][5/63] lr: 1.0000e-05 eta: 11:45:51 time: 10.3923 data_time: 9.5129 memory: 27783 loss: 0.1433 loss_text: 0.0974 loss_kernel: 0.0459 2022/11/02 02:44:00 - mmengine - INFO - Epoch(train) [317][10/63] lr: 1.0000e-05 eta: 11:46:27 time: 10.4353 data_time: 9.5275 memory: 27783 loss: 0.1338 loss_text: 0.0901 loss_kernel: 0.0437 2022/11/02 02:44:05 - mmengine - INFO - Epoch(train) [317][15/63] lr: 1.0000e-05 eta: 11:46:27 time: 0.9331 data_time: 0.0291 memory: 27783 loss: 0.1381 loss_text: 0.0931 loss_kernel: 0.0450 2022/11/02 02:44:10 - mmengine - INFO - Epoch(train) [317][20/63] lr: 1.0000e-05 eta: 11:45:50 time: 0.9303 data_time: 0.0251 memory: 27783 loss: 0.1934 loss_text: 0.1340 loss_kernel: 0.0593 2022/11/02 02:44:14 - mmengine - INFO - Epoch(train) [317][25/63] lr: 1.0000e-05 eta: 11:45:50 time: 0.9156 data_time: 0.0256 memory: 27783 loss: 0.2380 loss_text: 0.1647 loss_kernel: 0.0733 2022/11/02 02:44:19 - mmengine - INFO - Epoch(train) [317][30/63] lr: 1.0000e-05 eta: 11:45:14 time: 0.9463 data_time: 0.0193 memory: 27783 loss: 0.2109 loss_text: 0.1443 loss_kernel: 0.0666 2022/11/02 02:44:24 - mmengine - INFO - Epoch(train) [317][35/63] lr: 1.0000e-05 eta: 11:45:14 time: 1.0303 data_time: 0.0291 memory: 27783 loss: 0.1897 loss_text: 0.1298 loss_kernel: 0.0599 2022/11/02 02:44:29 - mmengine - INFO - Epoch(train) [317][40/63] lr: 1.0000e-05 eta: 11:44:38 time: 0.9849 data_time: 0.0183 memory: 27783 loss: 0.1958 loss_text: 0.1337 loss_kernel: 0.0621 2022/11/02 02:44:34 - mmengine - INFO - Epoch(train) [317][45/63] lr: 1.0000e-05 eta: 11:44:38 time: 0.9918 data_time: 0.0239 memory: 27783 loss: 0.2073 loss_text: 0.1422 loss_kernel: 0.0651 2022/11/02 02:44:39 - mmengine - INFO - Epoch(train) [317][50/63] lr: 1.0000e-05 eta: 11:44:02 time: 1.0246 data_time: 0.0475 memory: 27783 loss: 0.2001 loss_text: 0.1380 loss_kernel: 0.0621 2022/11/02 02:44:44 - mmengine - INFO - Epoch(train) [317][55/63] lr: 1.0000e-05 eta: 11:44:02 time: 0.9677 data_time: 0.0317 memory: 27783 loss: 0.2045 loss_text: 0.1418 loss_kernel: 0.0627 2022/11/02 02:44:49 - mmengine - INFO - Epoch(train) [317][60/63] lr: 1.0000e-05 eta: 11:43:25 time: 0.9394 data_time: 0.0159 memory: 27783 loss: 0.2448 loss_text: 0.1696 loss_kernel: 0.0752 2022/11/02 02:44:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:46:32 - mmengine - INFO - Epoch(train) [318][5/63] lr: 1.0000e-05 eta: 11:43:25 time: 10.4735 data_time: 9.6113 memory: 27783 loss: 0.2318 loss_text: 0.1602 loss_kernel: 0.0716 2022/11/02 02:46:37 - mmengine - INFO - Epoch(train) [318][10/63] lr: 1.0000e-05 eta: 11:44:01 time: 10.5199 data_time: 9.6252 memory: 27783 loss: 0.2256 loss_text: 0.1549 loss_kernel: 0.0707 2022/11/02 02:46:41 - mmengine - INFO - Epoch(train) [318][15/63] lr: 1.0000e-05 eta: 11:44:01 time: 0.9421 data_time: 0.0268 memory: 27783 loss: 0.1688 loss_text: 0.1147 loss_kernel: 0.0542 2022/11/02 02:46:46 - mmengine - INFO - Epoch(train) [318][20/63] lr: 1.0000e-05 eta: 11:43:25 time: 0.9501 data_time: 0.0241 memory: 27783 loss: 0.1920 loss_text: 0.1315 loss_kernel: 0.0606 2022/11/02 02:46:51 - mmengine - INFO - Epoch(train) [318][25/63] lr: 1.0000e-05 eta: 11:43:25 time: 0.9692 data_time: 0.0318 memory: 27783 loss: 0.1944 loss_text: 0.1331 loss_kernel: 0.0613 2022/11/02 02:46:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:46:56 - mmengine - INFO - Epoch(train) [318][30/63] lr: 1.0000e-05 eta: 11:42:48 time: 0.9502 data_time: 0.0217 memory: 27783 loss: 0.1973 loss_text: 0.1353 loss_kernel: 0.0621 2022/11/02 02:47:00 - mmengine - INFO - Epoch(train) [318][35/63] lr: 1.0000e-05 eta: 11:42:48 time: 0.9148 data_time: 0.0194 memory: 27783 loss: 0.2225 loss_text: 0.1528 loss_kernel: 0.0697 2022/11/02 02:47:05 - mmengine - INFO - Epoch(train) [318][40/63] lr: 1.0000e-05 eta: 11:42:12 time: 0.9274 data_time: 0.0258 memory: 27783 loss: 0.1960 loss_text: 0.1336 loss_kernel: 0.0624 2022/11/02 02:47:10 - mmengine - INFO - Epoch(train) [318][45/63] lr: 1.0000e-05 eta: 11:42:12 time: 0.9953 data_time: 0.0336 memory: 27783 loss: 0.1635 loss_text: 0.1107 loss_kernel: 0.0528 2022/11/02 02:47:15 - mmengine - INFO - Epoch(train) [318][50/63] lr: 1.0000e-05 eta: 11:41:36 time: 0.9878 data_time: 0.0361 memory: 27783 loss: 0.1828 loss_text: 0.1251 loss_kernel: 0.0577 2022/11/02 02:47:19 - mmengine - INFO - Epoch(train) [318][55/63] lr: 1.0000e-05 eta: 11:41:36 time: 0.9360 data_time: 0.0266 memory: 27783 loss: 0.1847 loss_text: 0.1267 loss_kernel: 0.0579 2022/11/02 02:47:24 - mmengine - INFO - Epoch(train) [318][60/63] lr: 1.0000e-05 eta: 11:41:00 time: 0.9354 data_time: 0.0182 memory: 27783 loss: 0.1693 loss_text: 0.1160 loss_kernel: 0.0533 2022/11/02 02:47:26 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:49:06 - mmengine - INFO - Epoch(train) [319][5/63] lr: 1.0000e-05 eta: 11:41:00 time: 10.3727 data_time: 9.5038 memory: 27783 loss: 0.1811 loss_text: 0.1234 loss_kernel: 0.0577 2022/11/02 02:49:11 - mmengine - INFO - Epoch(train) [319][10/63] lr: 1.0000e-05 eta: 11:41:34 time: 10.4670 data_time: 9.5286 memory: 27783 loss: 0.1532 loss_text: 0.1048 loss_kernel: 0.0484 2022/11/02 02:49:16 - mmengine - INFO - Epoch(train) [319][15/63] lr: 1.0000e-05 eta: 11:41:34 time: 0.9421 data_time: 0.0342 memory: 27783 loss: 0.2252 loss_text: 0.1558 loss_kernel: 0.0694 2022/11/02 02:49:20 - mmengine - INFO - Epoch(train) [319][20/63] lr: 1.0000e-05 eta: 11:40:58 time: 0.9113 data_time: 0.0193 memory: 27783 loss: 0.2207 loss_text: 0.1524 loss_kernel: 0.0682 2022/11/02 02:49:26 - mmengine - INFO - Epoch(train) [319][25/63] lr: 1.0000e-05 eta: 11:40:58 time: 1.0005 data_time: 0.0384 memory: 27783 loss: 0.1652 loss_text: 0.1139 loss_kernel: 0.0513 2022/11/02 02:49:30 - mmengine - INFO - Epoch(train) [319][30/63] lr: 1.0000e-05 eta: 11:40:22 time: 0.9915 data_time: 0.0257 memory: 27783 loss: 0.2025 loss_text: 0.1392 loss_kernel: 0.0632 2022/11/02 02:49:35 - mmengine - INFO - Epoch(train) [319][35/63] lr: 1.0000e-05 eta: 11:40:22 time: 0.9286 data_time: 0.0184 memory: 27783 loss: 0.2038 loss_text: 0.1394 loss_kernel: 0.0643 2022/11/02 02:49:40 - mmengine - INFO - Epoch(train) [319][40/63] lr: 1.0000e-05 eta: 11:39:45 time: 0.9507 data_time: 0.0198 memory: 27783 loss: 0.2016 loss_text: 0.1391 loss_kernel: 0.0625 2022/11/02 02:49:44 - mmengine - INFO - Epoch(train) [319][45/63] lr: 1.0000e-05 eta: 11:39:45 time: 0.9494 data_time: 0.0209 memory: 27783 loss: 0.1693 loss_text: 0.1163 loss_kernel: 0.0530 2022/11/02 02:49:49 - mmengine - INFO - Epoch(train) [319][50/63] lr: 1.0000e-05 eta: 11:39:09 time: 0.9348 data_time: 0.0323 memory: 27783 loss: 0.1774 loss_text: 0.1211 loss_kernel: 0.0563 2022/11/02 02:49:53 - mmengine - INFO - Epoch(train) [319][55/63] lr: 1.0000e-05 eta: 11:39:09 time: 0.9037 data_time: 0.0193 memory: 27783 loss: 0.2292 loss_text: 0.1577 loss_kernel: 0.0715 2022/11/02 02:49:58 - mmengine - INFO - Epoch(train) [319][60/63] lr: 1.0000e-05 eta: 11:38:33 time: 0.8950 data_time: 0.0155 memory: 27783 loss: 0.2031 loss_text: 0.1394 loss_kernel: 0.0637 2022/11/02 02:50:00 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:51:40 - mmengine - INFO - Epoch(train) [320][5/63] lr: 1.0000e-05 eta: 11:38:33 time: 10.4049 data_time: 9.5555 memory: 27783 loss: 0.1991 loss_text: 0.1367 loss_kernel: 0.0624 2022/11/02 02:51:45 - mmengine - INFO - Epoch(train) [320][10/63] lr: 1.0000e-05 eta: 11:39:07 time: 10.4934 data_time: 9.5749 memory: 27783 loss: 0.2402 loss_text: 0.1653 loss_kernel: 0.0749 2022/11/02 02:51:50 - mmengine - INFO - Epoch(train) [320][15/63] lr: 1.0000e-05 eta: 11:39:07 time: 0.9441 data_time: 0.0286 memory: 27783 loss: 0.2211 loss_text: 0.1513 loss_kernel: 0.0698 2022/11/02 02:51:54 - mmengine - INFO - Epoch(train) [320][20/63] lr: 1.0000e-05 eta: 11:38:31 time: 0.9190 data_time: 0.0185 memory: 27783 loss: 0.1733 loss_text: 0.1184 loss_kernel: 0.0549 2022/11/02 02:51:59 - mmengine - INFO - Epoch(train) [320][25/63] lr: 1.0000e-05 eta: 11:38:31 time: 0.9391 data_time: 0.0332 memory: 27783 loss: 0.1713 loss_text: 0.1176 loss_kernel: 0.0538 2022/11/02 02:52:04 - mmengine - INFO - Epoch(train) [320][30/63] lr: 1.0000e-05 eta: 11:37:54 time: 0.9589 data_time: 0.0231 memory: 27783 loss: 0.1859 loss_text: 0.1275 loss_kernel: 0.0585 2022/11/02 02:52:09 - mmengine - INFO - Epoch(train) [320][35/63] lr: 1.0000e-05 eta: 11:37:54 time: 0.9748 data_time: 0.0147 memory: 27783 loss: 0.2015 loss_text: 0.1388 loss_kernel: 0.0626 2022/11/02 02:52:13 - mmengine - INFO - Epoch(train) [320][40/63] lr: 1.0000e-05 eta: 11:37:18 time: 0.9507 data_time: 0.0177 memory: 27783 loss: 0.2123 loss_text: 0.1458 loss_kernel: 0.0665 2022/11/02 02:52:18 - mmengine - INFO - Epoch(train) [320][45/63] lr: 1.0000e-05 eta: 11:37:18 time: 0.9495 data_time: 0.0206 memory: 27783 loss: 0.2182 loss_text: 0.1509 loss_kernel: 0.0673 2022/11/02 02:52:23 - mmengine - INFO - Epoch(train) [320][50/63] lr: 1.0000e-05 eta: 11:36:42 time: 0.9686 data_time: 0.0246 memory: 27783 loss: 0.2124 loss_text: 0.1477 loss_kernel: 0.0647 2022/11/02 02:52:28 - mmengine - INFO - Epoch(train) [320][55/63] lr: 1.0000e-05 eta: 11:36:42 time: 0.9784 data_time: 0.0206 memory: 27783 loss: 0.1924 loss_text: 0.1344 loss_kernel: 0.0580 2022/11/02 02:52:33 - mmengine - INFO - Epoch(train) [320][60/63] lr: 1.0000e-05 eta: 11:36:06 time: 0.9556 data_time: 0.0222 memory: 27783 loss: 0.2025 loss_text: 0.1410 loss_kernel: 0.0615 2022/11/02 02:52:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:52:35 - mmengine - INFO - Saving checkpoint at 320 epochs 2022/11/02 02:53:13 - mmengine - INFO - Epoch(val) [320][5/500] eta: 11:36:06 time: 3.2713 data_time: 3.1963 memory: 27783 2022/11/02 02:53:13 - mmengine - INFO - Epoch(val) [320][10/500] eta: 0:26:43 time: 3.2728 data_time: 3.1963 memory: 3208 2022/11/02 02:53:14 - mmengine - INFO - Epoch(val) [320][15/500] eta: 0:26:43 time: 0.0792 data_time: 0.0030 memory: 3208 2022/11/02 02:53:14 - mmengine - INFO - Epoch(val) [320][20/500] eta: 0:00:39 time: 0.0815 data_time: 0.0033 memory: 3208 2022/11/02 02:53:15 - mmengine - INFO - Epoch(val) [320][25/500] eta: 0:00:39 time: 0.0724 data_time: 0.0030 memory: 3208 2022/11/02 02:53:15 - mmengine - INFO - Epoch(val) [320][30/500] eta: 0:00:36 time: 0.0781 data_time: 0.0032 memory: 3208 2022/11/02 02:53:15 - mmengine - INFO - Epoch(val) [320][35/500] eta: 0:00:36 time: 0.0844 data_time: 0.0033 memory: 3208 2022/11/02 02:53:16 - mmengine - INFO - Epoch(val) [320][40/500] eta: 0:00:37 time: 0.0807 data_time: 0.0027 memory: 3208 2022/11/02 02:53:16 - mmengine - INFO - Epoch(val) [320][45/500] eta: 0:00:37 time: 0.0794 data_time: 0.0024 memory: 3208 2022/11/02 02:53:17 - mmengine - INFO - Epoch(val) [320][50/500] eta: 0:00:34 time: 0.0763 data_time: 0.0025 memory: 3208 2022/11/02 02:53:17 - mmengine - INFO - Epoch(val) [320][55/500] eta: 0:00:34 time: 0.0731 data_time: 0.0025 memory: 3208 2022/11/02 02:53:17 - mmengine - INFO - Epoch(val) [320][60/500] eta: 0:00:33 time: 0.0753 data_time: 0.0025 memory: 3208 2022/11/02 02:53:18 - mmengine - INFO - Epoch(val) [320][65/500] eta: 0:00:33 time: 0.0782 data_time: 0.0028 memory: 3208 2022/11/02 02:53:18 - mmengine - INFO - Epoch(val) [320][70/500] eta: 0:00:32 time: 0.0752 data_time: 0.0027 memory: 3208 2022/11/02 02:53:19 - mmengine - INFO - Epoch(val) [320][75/500] eta: 0:00:32 time: 0.0741 data_time: 0.0027 memory: 3208 2022/11/02 02:53:19 - mmengine - INFO - Epoch(val) [320][80/500] eta: 0:00:31 time: 0.0745 data_time: 0.0028 memory: 3208 2022/11/02 02:53:19 - mmengine - INFO - Epoch(val) [320][85/500] eta: 0:00:31 time: 0.0740 data_time: 0.0028 memory: 3208 2022/11/02 02:53:20 - mmengine - INFO - Epoch(val) [320][90/500] eta: 0:00:32 time: 0.0796 data_time: 0.0027 memory: 3208 2022/11/02 02:53:20 - mmengine - INFO - Epoch(val) [320][95/500] eta: 0:00:32 time: 0.0823 data_time: 0.0026 memory: 3208 2022/11/02 02:53:21 - mmengine - INFO - Epoch(val) [320][100/500] eta: 0:00:31 time: 0.0793 data_time: 0.0030 memory: 3208 2022/11/02 02:53:21 - mmengine - INFO - Epoch(val) [320][105/500] eta: 0:00:31 time: 0.0773 data_time: 0.0030 memory: 3208 2022/11/02 02:53:21 - mmengine - INFO - Epoch(val) [320][110/500] eta: 0:00:30 time: 0.0770 data_time: 0.0028 memory: 3208 2022/11/02 02:53:22 - mmengine - INFO - Epoch(val) [320][115/500] eta: 0:00:30 time: 0.0787 data_time: 0.0031 memory: 3208 2022/11/02 02:53:22 - mmengine - INFO - Epoch(val) [320][120/500] eta: 0:00:29 time: 0.0780 data_time: 0.0027 memory: 3208 2022/11/02 02:53:22 - mmengine - INFO - Epoch(val) [320][125/500] eta: 0:00:29 time: 0.0822 data_time: 0.0028 memory: 3208 2022/11/02 02:53:23 - mmengine - INFO - Epoch(val) [320][130/500] eta: 0:00:31 time: 0.0851 data_time: 0.0034 memory: 3208 2022/11/02 02:53:23 - mmengine - INFO - Epoch(val) [320][135/500] eta: 0:00:31 time: 0.0914 data_time: 0.0086 memory: 3208 2022/11/02 02:53:24 - mmengine - INFO - Epoch(val) [320][140/500] eta: 0:00:31 time: 0.0875 data_time: 0.0083 memory: 3208 2022/11/02 02:53:24 - mmengine - INFO - Epoch(val) [320][145/500] eta: 0:00:31 time: 0.0813 data_time: 0.0028 memory: 3208 2022/11/02 02:53:25 - mmengine - INFO - Epoch(val) [320][150/500] eta: 0:00:30 time: 0.0859 data_time: 0.0024 memory: 3208 2022/11/02 02:53:25 - mmengine - INFO - Epoch(val) [320][155/500] eta: 0:00:30 time: 0.0846 data_time: 0.0032 memory: 3208 2022/11/02 02:53:25 - mmengine - INFO - Epoch(val) [320][160/500] eta: 0:00:28 time: 0.0844 data_time: 0.0035 memory: 3208 2022/11/02 02:53:26 - mmengine - INFO - Epoch(val) [320][165/500] eta: 0:00:28 time: 0.0820 data_time: 0.0025 memory: 3208 2022/11/02 02:53:26 - mmengine - INFO - Epoch(val) [320][170/500] eta: 0:00:26 time: 0.0812 data_time: 0.0022 memory: 3208 2022/11/02 02:53:27 - mmengine - INFO - Epoch(val) [320][175/500] eta: 0:00:26 time: 0.0747 data_time: 0.0022 memory: 3208 2022/11/02 02:53:27 - mmengine - INFO - Epoch(val) [320][180/500] eta: 0:00:23 time: 0.0744 data_time: 0.0025 memory: 3208 2022/11/02 02:53:27 - mmengine - INFO - Epoch(val) [320][185/500] eta: 0:00:23 time: 0.0797 data_time: 0.0024 memory: 3208 2022/11/02 02:53:28 - mmengine - INFO - Epoch(val) [320][190/500] eta: 0:00:23 time: 0.0765 data_time: 0.0022 memory: 3208 2022/11/02 02:53:28 - mmengine - INFO - Epoch(val) [320][195/500] eta: 0:00:23 time: 0.0742 data_time: 0.0023 memory: 3208 2022/11/02 02:53:29 - mmengine - INFO - Epoch(val) [320][200/500] eta: 0:00:23 time: 0.0783 data_time: 0.0022 memory: 3208 2022/11/02 02:53:29 - mmengine - INFO - Epoch(val) [320][205/500] eta: 0:00:23 time: 0.0873 data_time: 0.0027 memory: 3208 2022/11/02 02:53:29 - mmengine - INFO - Epoch(val) [320][210/500] eta: 0:00:22 time: 0.0790 data_time: 0.0027 memory: 3208 2022/11/02 02:53:30 - mmengine - INFO - Epoch(val) [320][215/500] eta: 0:00:22 time: 0.0697 data_time: 0.0022 memory: 3208 2022/11/02 02:53:30 - mmengine - INFO - Epoch(val) [320][220/500] eta: 0:00:20 time: 0.0723 data_time: 0.0022 memory: 3208 2022/11/02 02:53:30 - mmengine - INFO - Epoch(val) [320][225/500] eta: 0:00:20 time: 0.0749 data_time: 0.0023 memory: 3208 2022/11/02 02:53:31 - mmengine - INFO - Epoch(val) [320][230/500] eta: 0:00:19 time: 0.0726 data_time: 0.0023 memory: 3208 2022/11/02 02:53:31 - mmengine - INFO - Epoch(val) [320][235/500] eta: 0:00:19 time: 0.0745 data_time: 0.0023 memory: 3208 2022/11/02 02:53:32 - mmengine - INFO - Epoch(val) [320][240/500] eta: 0:00:23 time: 0.0887 data_time: 0.0028 memory: 3208 2022/11/02 02:53:32 - mmengine - INFO - Epoch(val) [320][245/500] eta: 0:00:23 time: 0.0868 data_time: 0.0029 memory: 3208 2022/11/02 02:53:33 - mmengine - INFO - Epoch(val) [320][250/500] eta: 0:00:19 time: 0.0795 data_time: 0.0024 memory: 3208 2022/11/02 02:53:33 - mmengine - INFO - Epoch(val) [320][255/500] eta: 0:00:19 time: 0.0756 data_time: 0.0023 memory: 3208 2022/11/02 02:53:33 - mmengine - INFO - Epoch(val) [320][260/500] eta: 0:00:19 time: 0.0801 data_time: 0.0029 memory: 3208 2022/11/02 02:53:34 - mmengine - INFO - Epoch(val) [320][265/500] eta: 0:00:19 time: 0.0825 data_time: 0.0029 memory: 3208 2022/11/02 02:53:34 - mmengine - INFO - Epoch(val) [320][270/500] eta: 0:00:17 time: 0.0754 data_time: 0.0025 memory: 3208 2022/11/02 02:53:34 - mmengine - INFO - Epoch(val) [320][275/500] eta: 0:00:17 time: 0.0789 data_time: 0.0031 memory: 3208 2022/11/02 02:53:35 - mmengine - INFO - Epoch(val) [320][280/500] eta: 0:00:17 time: 0.0803 data_time: 0.0031 memory: 3208 2022/11/02 02:53:35 - mmengine - INFO - Epoch(val) [320][285/500] eta: 0:00:17 time: 0.0737 data_time: 0.0025 memory: 3208 2022/11/02 02:53:36 - mmengine - INFO - Epoch(val) [320][290/500] eta: 0:00:15 time: 0.0726 data_time: 0.0029 memory: 3208 2022/11/02 02:53:36 - mmengine - INFO - Epoch(val) [320][295/500] eta: 0:00:15 time: 0.0756 data_time: 0.0033 memory: 3208 2022/11/02 02:53:36 - mmengine - INFO - Epoch(val) [320][300/500] eta: 0:00:15 time: 0.0763 data_time: 0.0032 memory: 3208 2022/11/02 02:53:37 - mmengine - INFO - Epoch(val) [320][305/500] eta: 0:00:15 time: 0.0760 data_time: 0.0028 memory: 3208 2022/11/02 02:53:37 - mmengine - INFO - Epoch(val) [320][310/500] eta: 0:00:14 time: 0.0766 data_time: 0.0027 memory: 3208 2022/11/02 02:53:38 - mmengine - INFO - Epoch(val) [320][315/500] eta: 0:00:14 time: 0.0831 data_time: 0.0030 memory: 3208 2022/11/02 02:53:38 - mmengine - INFO - Epoch(val) [320][320/500] eta: 0:00:15 time: 0.0847 data_time: 0.0034 memory: 3208 2022/11/02 02:53:38 - mmengine - INFO - Epoch(val) [320][325/500] eta: 0:00:15 time: 0.0898 data_time: 0.0033 memory: 3208 2022/11/02 02:53:39 - mmengine - INFO - Epoch(val) [320][330/500] eta: 0:00:14 time: 0.0846 data_time: 0.0030 memory: 3208 2022/11/02 02:53:39 - mmengine - INFO - Epoch(val) [320][335/500] eta: 0:00:14 time: 0.0693 data_time: 0.0025 memory: 3208 2022/11/02 02:53:40 - mmengine - INFO - Epoch(val) [320][340/500] eta: 0:00:13 time: 0.0844 data_time: 0.0025 memory: 3208 2022/11/02 02:53:40 - mmengine - INFO - Epoch(val) [320][345/500] eta: 0:00:13 time: 0.0903 data_time: 0.0029 memory: 3208 2022/11/02 02:53:40 - mmengine - INFO - Epoch(val) [320][350/500] eta: 0:00:11 time: 0.0797 data_time: 0.0029 memory: 3208 2022/11/02 02:53:41 - mmengine - INFO - Epoch(val) [320][355/500] eta: 0:00:11 time: 0.0758 data_time: 0.0026 memory: 3208 2022/11/02 02:53:41 - mmengine - INFO - Epoch(val) [320][360/500] eta: 0:00:10 time: 0.0774 data_time: 0.0026 memory: 3208 2022/11/02 02:53:42 - mmengine - INFO - Epoch(val) [320][365/500] eta: 0:00:10 time: 0.0797 data_time: 0.0026 memory: 3208 2022/11/02 02:53:42 - mmengine - INFO - Epoch(val) [320][370/500] eta: 0:00:09 time: 0.0740 data_time: 0.0024 memory: 3208 2022/11/02 02:53:42 - mmengine - INFO - Epoch(val) [320][375/500] eta: 0:00:09 time: 0.0699 data_time: 0.0025 memory: 3208 2022/11/02 02:53:43 - mmengine - INFO - Epoch(val) [320][380/500] eta: 0:00:08 time: 0.0708 data_time: 0.0025 memory: 3208 2022/11/02 02:53:43 - mmengine - INFO - Epoch(val) [320][385/500] eta: 0:00:08 time: 0.0759 data_time: 0.0028 memory: 3208 2022/11/02 02:53:44 - mmengine - INFO - Epoch(val) [320][390/500] eta: 0:00:09 time: 0.0825 data_time: 0.0089 memory: 3208 2022/11/02 02:53:44 - mmengine - INFO - Epoch(val) [320][395/500] eta: 0:00:09 time: 0.0776 data_time: 0.0083 memory: 3208 2022/11/02 02:53:44 - mmengine - INFO - Epoch(val) [320][400/500] eta: 0:00:06 time: 0.0691 data_time: 0.0021 memory: 3208 2022/11/02 02:53:45 - mmengine - INFO - Epoch(val) [320][405/500] eta: 0:00:06 time: 0.0751 data_time: 0.0023 memory: 3208 2022/11/02 02:53:45 - mmengine - INFO - Epoch(val) [320][410/500] eta: 0:00:07 time: 0.0808 data_time: 0.0024 memory: 3208 2022/11/02 02:53:45 - mmengine - INFO - Epoch(val) [320][415/500] eta: 0:00:07 time: 0.0751 data_time: 0.0023 memory: 3208 2022/11/02 02:53:46 - mmengine - INFO - Epoch(val) [320][420/500] eta: 0:00:05 time: 0.0664 data_time: 0.0022 memory: 3208 2022/11/02 02:53:46 - mmengine - INFO - Epoch(val) [320][425/500] eta: 0:00:05 time: 0.0766 data_time: 0.0024 memory: 3208 2022/11/02 02:53:46 - mmengine - INFO - Epoch(val) [320][430/500] eta: 0:00:05 time: 0.0790 data_time: 0.0024 memory: 3208 2022/11/02 02:53:47 - mmengine - INFO - Epoch(val) [320][435/500] eta: 0:00:05 time: 0.0693 data_time: 0.0021 memory: 3208 2022/11/02 02:53:47 - mmengine - INFO - Epoch(val) [320][440/500] eta: 0:00:04 time: 0.0744 data_time: 0.0025 memory: 3208 2022/11/02 02:53:48 - mmengine - INFO - Epoch(val) [320][445/500] eta: 0:00:04 time: 0.0828 data_time: 0.0029 memory: 3208 2022/11/02 02:53:48 - mmengine - INFO - Epoch(val) [320][450/500] eta: 0:00:04 time: 0.0832 data_time: 0.0030 memory: 3208 2022/11/02 02:53:48 - mmengine - INFO - Epoch(val) [320][455/500] eta: 0:00:04 time: 0.0765 data_time: 0.0028 memory: 3208 2022/11/02 02:53:49 - mmengine - INFO - Epoch(val) [320][460/500] eta: 0:00:02 time: 0.0699 data_time: 0.0026 memory: 3208 2022/11/02 02:53:49 - mmengine - INFO - Epoch(val) [320][465/500] eta: 0:00:02 time: 0.0663 data_time: 0.0023 memory: 3208 2022/11/02 02:53:49 - mmengine - INFO - Epoch(val) [320][470/500] eta: 0:00:02 time: 0.0670 data_time: 0.0023 memory: 3208 2022/11/02 02:53:50 - mmengine - INFO - Epoch(val) [320][475/500] eta: 0:00:02 time: 0.0664 data_time: 0.0023 memory: 3208 2022/11/02 02:53:50 - mmengine - INFO - Epoch(val) [320][480/500] eta: 0:00:01 time: 0.0669 data_time: 0.0022 memory: 3208 2022/11/02 02:53:50 - mmengine - INFO - Epoch(val) [320][485/500] eta: 0:00:01 time: 0.0704 data_time: 0.0023 memory: 3208 2022/11/02 02:53:51 - mmengine - INFO - Epoch(val) [320][490/500] eta: 0:00:00 time: 0.0733 data_time: 0.0025 memory: 3208 2022/11/02 02:53:51 - mmengine - INFO - Epoch(val) [320][495/500] eta: 0:00:00 time: 0.0767 data_time: 0.0024 memory: 3208 2022/11/02 02:53:52 - mmengine - INFO - Epoch(val) [320][500/500] eta: 0:00:00 time: 0.0754 data_time: 0.0028 memory: 3208 2022/11/02 02:53:52 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 02:53:52 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8300, precision: 0.6957, hmean: 0.7570 2022/11/02 02:53:52 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8300, precision: 0.6957, hmean: 0.7570 2022/11/02 02:53:52 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8300, precision: 0.6957, hmean: 0.7570 2022/11/02 02:53:52 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8300, precision: 0.7358, hmean: 0.7801 2022/11/02 02:53:52 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8291, precision: 0.7885, hmean: 0.8083 2022/11/02 02:53:52 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8267, precision: 0.8323, hmean: 0.8295 2022/11/02 02:53:52 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.8098, precision: 0.8895, hmean: 0.8478 2022/11/02 02:53:52 - mmengine - INFO - Epoch(val) [320][500/500] icdar/precision: 0.8895 icdar/recall: 0.8098 icdar/hmean: 0.8478 2022/11/02 02:55:32 - mmengine - INFO - Epoch(train) [321][5/63] lr: 1.0000e-05 eta: 0:00:00 time: 10.4589 data_time: 9.5819 memory: 27783 loss: 0.1919 loss_text: 0.1314 loss_kernel: 0.0605 2022/11/02 02:55:37 - mmengine - INFO - Epoch(train) [321][10/63] lr: 1.0000e-05 eta: 11:36:41 time: 10.5187 data_time: 9.5847 memory: 27783 loss: 0.2067 loss_text: 0.1418 loss_kernel: 0.0650 2022/11/02 02:55:41 - mmengine - INFO - Epoch(train) [321][15/63] lr: 1.0000e-05 eta: 11:36:41 time: 0.9261 data_time: 0.0237 memory: 27783 loss: 0.2115 loss_text: 0.1455 loss_kernel: 0.0660 2022/11/02 02:55:46 - mmengine - INFO - Epoch(train) [321][20/63] lr: 1.0000e-05 eta: 11:36:04 time: 0.9334 data_time: 0.0352 memory: 27783 loss: 0.2138 loss_text: 0.1474 loss_kernel: 0.0665 2022/11/02 02:55:51 - mmengine - INFO - Epoch(train) [321][25/63] lr: 1.0000e-05 eta: 11:36:04 time: 0.9317 data_time: 0.0239 memory: 27783 loss: 0.1897 loss_text: 0.1300 loss_kernel: 0.0597 2022/11/02 02:55:55 - mmengine - INFO - Epoch(train) [321][30/63] lr: 1.0000e-05 eta: 11:35:28 time: 0.9247 data_time: 0.0192 memory: 27783 loss: 0.1869 loss_text: 0.1275 loss_kernel: 0.0595 2022/11/02 02:56:00 - mmengine - INFO - Epoch(train) [321][35/63] lr: 1.0000e-05 eta: 11:35:28 time: 0.9357 data_time: 0.0314 memory: 27783 loss: 0.1894 loss_text: 0.1288 loss_kernel: 0.0606 2022/11/02 02:56:05 - mmengine - INFO - Epoch(train) [321][40/63] lr: 1.0000e-05 eta: 11:34:52 time: 0.9257 data_time: 0.0187 memory: 27783 loss: 0.1942 loss_text: 0.1343 loss_kernel: 0.0599 2022/11/02 02:56:10 - mmengine - INFO - Epoch(train) [321][45/63] lr: 1.0000e-05 eta: 11:34:52 time: 0.9420 data_time: 0.0210 memory: 27783 loss: 0.2062 loss_text: 0.1437 loss_kernel: 0.0625 2022/11/02 02:56:14 - mmengine - INFO - Epoch(train) [321][50/63] lr: 1.0000e-05 eta: 11:34:16 time: 0.9306 data_time: 0.0228 memory: 27783 loss: 0.2054 loss_text: 0.1418 loss_kernel: 0.0637 2022/11/02 02:56:19 - mmengine - INFO - Epoch(train) [321][55/63] lr: 1.0000e-05 eta: 11:34:16 time: 0.8966 data_time: 0.0186 memory: 27783 loss: 0.2355 loss_text: 0.1621 loss_kernel: 0.0734 2022/11/02 02:56:23 - mmengine - INFO - Epoch(train) [321][60/63] lr: 1.0000e-05 eta: 11:33:39 time: 0.9047 data_time: 0.0237 memory: 27783 loss: 0.2320 loss_text: 0.1590 loss_kernel: 0.0730 2022/11/02 02:56:25 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 02:58:05 - mmengine - INFO - Epoch(train) [322][5/63] lr: 1.0000e-05 eta: 11:33:39 time: 10.3859 data_time: 9.5294 memory: 27783 loss: 0.2041 loss_text: 0.1395 loss_kernel: 0.0646 2022/11/02 02:58:10 - mmengine - INFO - Epoch(train) [322][10/63] lr: 1.0000e-05 eta: 11:34:12 time: 10.4400 data_time: 9.5351 memory: 27783 loss: 0.1704 loss_text: 0.1163 loss_kernel: 0.0542 2022/11/02 02:58:15 - mmengine - INFO - Epoch(train) [322][15/63] lr: 1.0000e-05 eta: 11:34:12 time: 0.9277 data_time: 0.0228 memory: 27783 loss: 0.1848 loss_text: 0.1268 loss_kernel: 0.0580 2022/11/02 02:58:19 - mmengine - INFO - Epoch(train) [322][20/63] lr: 1.0000e-05 eta: 11:33:36 time: 0.9485 data_time: 0.0240 memory: 27783 loss: 0.1809 loss_text: 0.1233 loss_kernel: 0.0576 2022/11/02 02:58:24 - mmengine - INFO - Epoch(train) [322][25/63] lr: 1.0000e-05 eta: 11:33:36 time: 0.9592 data_time: 0.0259 memory: 27783 loss: 0.2063 loss_text: 0.1404 loss_kernel: 0.0659 2022/11/02 02:58:29 - mmengine - INFO - Epoch(train) [322][30/63] lr: 1.0000e-05 eta: 11:33:00 time: 0.9449 data_time: 0.0170 memory: 27783 loss: 0.2328 loss_text: 0.1603 loss_kernel: 0.0725 2022/11/02 02:58:33 - mmengine - INFO - Epoch(train) [322][35/63] lr: 1.0000e-05 eta: 11:33:00 time: 0.9248 data_time: 0.0238 memory: 27783 loss: 0.2027 loss_text: 0.1395 loss_kernel: 0.0632 2022/11/02 02:58:38 - mmengine - INFO - Epoch(train) [322][40/63] lr: 1.0000e-05 eta: 11:32:24 time: 0.9064 data_time: 0.0201 memory: 27783 loss: 0.1893 loss_text: 0.1294 loss_kernel: 0.0599 2022/11/02 02:58:42 - mmengine - INFO - Epoch(train) [322][45/63] lr: 1.0000e-05 eta: 11:32:24 time: 0.9044 data_time: 0.0200 memory: 27783 loss: 0.2133 loss_text: 0.1463 loss_kernel: 0.0670 2022/11/02 02:58:47 - mmengine - INFO - Epoch(train) [322][50/63] lr: 1.0000e-05 eta: 11:31:48 time: 0.9183 data_time: 0.0307 memory: 27783 loss: 0.2060 loss_text: 0.1417 loss_kernel: 0.0643 2022/11/02 02:58:52 - mmengine - INFO - Epoch(train) [322][55/63] lr: 1.0000e-05 eta: 11:31:48 time: 0.9274 data_time: 0.0178 memory: 27783 loss: 0.2155 loss_text: 0.1485 loss_kernel: 0.0671 2022/11/02 02:58:56 - mmengine - INFO - Epoch(train) [322][60/63] lr: 1.0000e-05 eta: 11:31:11 time: 0.9358 data_time: 0.0175 memory: 27783 loss: 0.1892 loss_text: 0.1296 loss_kernel: 0.0596 2022/11/02 02:58:58 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:00:39 - mmengine - INFO - Epoch(train) [323][5/63] lr: 1.0000e-05 eta: 11:31:11 time: 10.4640 data_time: 9.5967 memory: 27783 loss: 0.1846 loss_text: 0.1279 loss_kernel: 0.0568 2022/11/02 03:00:44 - mmengine - INFO - Epoch(train) [323][10/63] lr: 1.0000e-05 eta: 11:31:45 time: 10.5312 data_time: 9.6025 memory: 27783 loss: 0.1909 loss_text: 0.1311 loss_kernel: 0.0598 2022/11/02 03:00:48 - mmengine - INFO - Epoch(train) [323][15/63] lr: 1.0000e-05 eta: 11:31:45 time: 0.8919 data_time: 0.0183 memory: 27783 loss: 0.2019 loss_text: 0.1384 loss_kernel: 0.0636 2022/11/02 03:00:53 - mmengine - INFO - Epoch(train) [323][20/63] lr: 1.0000e-05 eta: 11:31:09 time: 0.9230 data_time: 0.0293 memory: 27783 loss: 0.1725 loss_text: 0.1172 loss_kernel: 0.0552 2022/11/02 03:00:58 - mmengine - INFO - Epoch(train) [323][25/63] lr: 1.0000e-05 eta: 11:31:09 time: 0.9437 data_time: 0.0272 memory: 27783 loss: 0.1476 loss_text: 0.0999 loss_kernel: 0.0477 2022/11/02 03:01:02 - mmengine - INFO - Epoch(train) [323][30/63] lr: 1.0000e-05 eta: 11:30:32 time: 0.8805 data_time: 0.0178 memory: 27783 loss: 0.1719 loss_text: 0.1170 loss_kernel: 0.0549 2022/11/02 03:01:06 - mmengine - INFO - Epoch(train) [323][35/63] lr: 1.0000e-05 eta: 11:30:32 time: 0.8537 data_time: 0.0199 memory: 27783 loss: 0.2073 loss_text: 0.1414 loss_kernel: 0.0659 2022/11/02 03:01:11 - mmengine - INFO - Epoch(train) [323][40/63] lr: 1.0000e-05 eta: 11:29:56 time: 0.8710 data_time: 0.0183 memory: 27783 loss: 0.1622 loss_text: 0.1102 loss_kernel: 0.0520 2022/11/02 03:01:15 - mmengine - INFO - Epoch(train) [323][45/63] lr: 1.0000e-05 eta: 11:29:56 time: 0.8812 data_time: 0.0235 memory: 27783 loss: 0.1467 loss_text: 0.0993 loss_kernel: 0.0474 2022/11/02 03:01:19 - mmengine - INFO - Epoch(train) [323][50/63] lr: 1.0000e-05 eta: 11:29:19 time: 0.8685 data_time: 0.0198 memory: 27783 loss: 0.1957 loss_text: 0.1333 loss_kernel: 0.0624 2022/11/02 03:01:24 - mmengine - INFO - Epoch(train) [323][55/63] lr: 1.0000e-05 eta: 11:29:19 time: 0.9298 data_time: 0.0205 memory: 27783 loss: 0.2197 loss_text: 0.1516 loss_kernel: 0.0681 2022/11/02 03:01:30 - mmengine - INFO - Epoch(train) [323][60/63] lr: 1.0000e-05 eta: 11:28:44 time: 1.0573 data_time: 0.0286 memory: 27783 loss: 0.2268 loss_text: 0.1574 loss_kernel: 0.0695 2022/11/02 03:01:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:03:12 - mmengine - INFO - Epoch(train) [324][5/63] lr: 1.0000e-05 eta: 11:28:44 time: 10.4971 data_time: 9.5186 memory: 27783 loss: 0.1757 loss_text: 0.1204 loss_kernel: 0.0553 2022/11/02 03:03:17 - mmengine - INFO - Epoch(train) [324][10/63] lr: 1.0000e-05 eta: 11:29:17 time: 10.4524 data_time: 9.5212 memory: 27783 loss: 0.2016 loss_text: 0.1380 loss_kernel: 0.0636 2022/11/02 03:03:22 - mmengine - INFO - Epoch(train) [324][15/63] lr: 1.0000e-05 eta: 11:29:17 time: 0.9357 data_time: 0.0230 memory: 27783 loss: 0.2178 loss_text: 0.1498 loss_kernel: 0.0680 2022/11/02 03:03:27 - mmengine - INFO - Epoch(train) [324][20/63] lr: 1.0000e-05 eta: 11:28:41 time: 0.9342 data_time: 0.0196 memory: 27783 loss: 0.2314 loss_text: 0.1595 loss_kernel: 0.0719 2022/11/02 03:03:32 - mmengine - INFO - Epoch(train) [324][25/63] lr: 1.0000e-05 eta: 11:28:41 time: 0.9949 data_time: 0.0333 memory: 27783 loss: 0.2263 loss_text: 0.1554 loss_kernel: 0.0709 2022/11/02 03:03:36 - mmengine - INFO - Epoch(train) [324][30/63] lr: 1.0000e-05 eta: 11:28:05 time: 0.9609 data_time: 0.0252 memory: 27783 loss: 0.2118 loss_text: 0.1455 loss_kernel: 0.0662 2022/11/02 03:03:41 - mmengine - INFO - Epoch(train) [324][35/63] lr: 1.0000e-05 eta: 11:28:05 time: 0.9430 data_time: 0.0185 memory: 27783 loss: 0.1837 loss_text: 0.1256 loss_kernel: 0.0581 2022/11/02 03:03:46 - mmengine - INFO - Epoch(train) [324][40/63] lr: 1.0000e-05 eta: 11:27:29 time: 0.9664 data_time: 0.0246 memory: 27783 loss: 0.1716 loss_text: 0.1170 loss_kernel: 0.0546 2022/11/02 03:03:51 - mmengine - INFO - Epoch(train) [324][45/63] lr: 1.0000e-05 eta: 11:27:29 time: 0.9481 data_time: 0.0253 memory: 27783 loss: 0.1796 loss_text: 0.1226 loss_kernel: 0.0570 2022/11/02 03:03:56 - mmengine - INFO - Epoch(train) [324][50/63] lr: 1.0000e-05 eta: 11:26:54 time: 0.9865 data_time: 0.0296 memory: 27783 loss: 0.2135 loss_text: 0.1466 loss_kernel: 0.0669 2022/11/02 03:04:00 - mmengine - INFO - Epoch(train) [324][55/63] lr: 1.0000e-05 eta: 11:26:54 time: 0.9731 data_time: 0.0198 memory: 27783 loss: 0.2213 loss_text: 0.1520 loss_kernel: 0.0693 2022/11/02 03:04:05 - mmengine - INFO - Epoch(train) [324][60/63] lr: 1.0000e-05 eta: 11:26:18 time: 0.9442 data_time: 0.0174 memory: 27783 loss: 0.2009 loss_text: 0.1376 loss_kernel: 0.0634 2022/11/02 03:04:07 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:05:48 - mmengine - INFO - Epoch(train) [325][5/63] lr: 1.0000e-05 eta: 11:26:18 time: 10.4263 data_time: 9.5803 memory: 27783 loss: 0.2211 loss_text: 0.1526 loss_kernel: 0.0685 2022/11/02 03:05:53 - mmengine - INFO - Epoch(train) [325][10/63] lr: 1.0000e-05 eta: 11:26:50 time: 10.5254 data_time: 9.5941 memory: 27783 loss: 0.2255 loss_text: 0.1559 loss_kernel: 0.0696 2022/11/02 03:05:58 - mmengine - INFO - Epoch(train) [325][15/63] lr: 1.0000e-05 eta: 11:26:50 time: 0.9862 data_time: 0.0275 memory: 27783 loss: 0.2382 loss_text: 0.1642 loss_kernel: 0.0741 2022/11/02 03:06:03 - mmengine - INFO - Epoch(train) [325][20/63] lr: 1.0000e-05 eta: 11:26:15 time: 0.9781 data_time: 0.0280 memory: 27783 loss: 0.2275 loss_text: 0.1569 loss_kernel: 0.0706 2022/11/02 03:06:08 - mmengine - INFO - Epoch(train) [325][25/63] lr: 1.0000e-05 eta: 11:26:15 time: 1.0186 data_time: 0.0265 memory: 27783 loss: 0.1795 loss_text: 0.1229 loss_kernel: 0.0566 2022/11/02 03:06:13 - mmengine - INFO - Epoch(train) [325][30/63] lr: 1.0000e-05 eta: 11:25:40 time: 1.0119 data_time: 0.0207 memory: 27783 loss: 0.1726 loss_text: 0.1172 loss_kernel: 0.0554 2022/11/02 03:06:17 - mmengine - INFO - Epoch(train) [325][35/63] lr: 1.0000e-05 eta: 11:25:40 time: 0.9503 data_time: 0.0251 memory: 27783 loss: 0.1772 loss_text: 0.1208 loss_kernel: 0.0564 2022/11/02 03:06:22 - mmengine - INFO - Epoch(train) [325][40/63] lr: 1.0000e-05 eta: 11:25:04 time: 0.9753 data_time: 0.0203 memory: 27783 loss: 0.1873 loss_text: 0.1283 loss_kernel: 0.0590 2022/11/02 03:06:27 - mmengine - INFO - Epoch(train) [325][45/63] lr: 1.0000e-05 eta: 11:25:04 time: 0.9662 data_time: 0.0225 memory: 27783 loss: 0.2157 loss_text: 0.1481 loss_kernel: 0.0676 2022/11/02 03:06:32 - mmengine - INFO - Epoch(train) [325][50/63] lr: 1.0000e-05 eta: 11:24:28 time: 0.9154 data_time: 0.0239 memory: 27783 loss: 0.2349 loss_text: 0.1615 loss_kernel: 0.0734 2022/11/02 03:06:36 - mmengine - INFO - Epoch(train) [325][55/63] lr: 1.0000e-05 eta: 11:24:28 time: 0.9317 data_time: 0.0332 memory: 27783 loss: 0.2039 loss_text: 0.1394 loss_kernel: 0.0645 2022/11/02 03:06:41 - mmengine - INFO - Epoch(train) [325][60/63] lr: 1.0000e-05 eta: 11:23:52 time: 0.9238 data_time: 0.0389 memory: 27783 loss: 0.2013 loss_text: 0.1370 loss_kernel: 0.0644 2022/11/02 03:06:43 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:08:23 - mmengine - INFO - Epoch(train) [326][5/63] lr: 1.0000e-05 eta: 11:23:52 time: 10.4026 data_time: 9.5169 memory: 27783 loss: 0.1739 loss_text: 0.1183 loss_kernel: 0.0556 2022/11/02 03:08:28 - mmengine - INFO - Epoch(train) [326][10/63] lr: 1.0000e-05 eta: 11:24:24 time: 10.4438 data_time: 9.5244 memory: 27783 loss: 0.1644 loss_text: 0.1128 loss_kernel: 0.0516 2022/11/02 03:08:33 - mmengine - INFO - Epoch(train) [326][15/63] lr: 1.0000e-05 eta: 11:24:24 time: 0.9270 data_time: 0.0261 memory: 27783 loss: 0.2016 loss_text: 0.1386 loss_kernel: 0.0630 2022/11/02 03:08:37 - mmengine - INFO - Epoch(train) [326][20/63] lr: 1.0000e-05 eta: 11:23:48 time: 0.9460 data_time: 0.0324 memory: 27783 loss: 0.1840 loss_text: 0.1247 loss_kernel: 0.0592 2022/11/02 03:08:42 - mmengine - INFO - Epoch(train) [326][25/63] lr: 1.0000e-05 eta: 11:23:48 time: 0.9469 data_time: 0.0291 memory: 27783 loss: 0.1679 loss_text: 0.1123 loss_kernel: 0.0556 2022/11/02 03:08:46 - mmengine - INFO - Epoch(train) [326][30/63] lr: 1.0000e-05 eta: 11:23:12 time: 0.9142 data_time: 0.0191 memory: 27783 loss: 0.1766 loss_text: 0.1200 loss_kernel: 0.0566 2022/11/02 03:08:51 - mmengine - INFO - Epoch(train) [326][35/63] lr: 1.0000e-05 eta: 11:23:12 time: 0.9065 data_time: 0.0268 memory: 27783 loss: 0.2018 loss_text: 0.1398 loss_kernel: 0.0620 2022/11/02 03:08:56 - mmengine - INFO - Epoch(train) [326][40/63] lr: 1.0000e-05 eta: 11:22:36 time: 0.9150 data_time: 0.0191 memory: 27783 loss: 0.2208 loss_text: 0.1519 loss_kernel: 0.0689 2022/11/02 03:09:00 - mmengine - INFO - Epoch(train) [326][45/63] lr: 1.0000e-05 eta: 11:22:36 time: 0.9426 data_time: 0.0172 memory: 27783 loss: 0.2152 loss_text: 0.1477 loss_kernel: 0.0675 2022/11/02 03:09:05 - mmengine - INFO - Epoch(train) [326][50/63] lr: 1.0000e-05 eta: 11:22:00 time: 0.9678 data_time: 0.0237 memory: 27783 loss: 0.1803 loss_text: 0.1233 loss_kernel: 0.0569 2022/11/02 03:09:10 - mmengine - INFO - Epoch(train) [326][55/63] lr: 1.0000e-05 eta: 11:22:00 time: 0.9450 data_time: 0.0232 memory: 27783 loss: 0.1649 loss_text: 0.1123 loss_kernel: 0.0526 2022/11/02 03:09:15 - mmengine - INFO - Epoch(train) [326][60/63] lr: 1.0000e-05 eta: 11:21:25 time: 0.9742 data_time: 0.0246 memory: 27783 loss: 0.1636 loss_text: 0.1105 loss_kernel: 0.0531 2022/11/02 03:09:17 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:10:58 - mmengine - INFO - Epoch(train) [327][5/63] lr: 1.0000e-05 eta: 11:21:25 time: 10.4689 data_time: 9.5636 memory: 27783 loss: 0.2042 loss_text: 0.1395 loss_kernel: 0.0647 2022/11/02 03:11:02 - mmengine - INFO - Epoch(train) [327][10/63] lr: 1.0000e-05 eta: 11:21:56 time: 10.4807 data_time: 9.5742 memory: 27783 loss: 0.2001 loss_text: 0.1371 loss_kernel: 0.0631 2022/11/02 03:11:07 - mmengine - INFO - Epoch(train) [327][15/63] lr: 1.0000e-05 eta: 11:21:56 time: 0.9501 data_time: 0.0258 memory: 27783 loss: 0.2108 loss_text: 0.1447 loss_kernel: 0.0661 2022/11/02 03:11:12 - mmengine - INFO - Epoch(train) [327][20/63] lr: 1.0000e-05 eta: 11:21:21 time: 0.9712 data_time: 0.0249 memory: 27783 loss: 0.1967 loss_text: 0.1353 loss_kernel: 0.0615 2022/11/02 03:11:16 - mmengine - INFO - Epoch(train) [327][25/63] lr: 1.0000e-05 eta: 11:21:21 time: 0.9281 data_time: 0.0278 memory: 27783 loss: 0.1795 loss_text: 0.1232 loss_kernel: 0.0563 2022/11/02 03:11:21 - mmengine - INFO - Epoch(train) [327][30/63] lr: 1.0000e-05 eta: 11:20:45 time: 0.9086 data_time: 0.0192 memory: 27783 loss: 0.2103 loss_text: 0.1442 loss_kernel: 0.0661 2022/11/02 03:11:26 - mmengine - INFO - Epoch(train) [327][35/63] lr: 1.0000e-05 eta: 11:20:45 time: 0.9245 data_time: 0.0223 memory: 27783 loss: 0.2052 loss_text: 0.1402 loss_kernel: 0.0649 2022/11/02 03:11:30 - mmengine - INFO - Epoch(train) [327][40/63] lr: 1.0000e-05 eta: 11:20:09 time: 0.9262 data_time: 0.0208 memory: 27783 loss: 0.2166 loss_text: 0.1495 loss_kernel: 0.0671 2022/11/02 03:11:35 - mmengine - INFO - Epoch(train) [327][45/63] lr: 1.0000e-05 eta: 11:20:09 time: 0.9284 data_time: 0.0191 memory: 27783 loss: 0.1824 loss_text: 0.1253 loss_kernel: 0.0571 2022/11/02 03:11:39 - mmengine - INFO - Epoch(train) [327][50/63] lr: 1.0000e-05 eta: 11:19:33 time: 0.8982 data_time: 0.0249 memory: 27783 loss: 0.1838 loss_text: 0.1254 loss_kernel: 0.0583 2022/11/02 03:11:44 - mmengine - INFO - Epoch(train) [327][55/63] lr: 1.0000e-05 eta: 11:19:33 time: 0.9277 data_time: 0.0229 memory: 27783 loss: 0.2153 loss_text: 0.1479 loss_kernel: 0.0674 2022/11/02 03:11:49 - mmengine - INFO - Epoch(train) [327][60/63] lr: 1.0000e-05 eta: 11:18:58 time: 0.9815 data_time: 0.0262 memory: 27783 loss: 0.2151 loss_text: 0.1476 loss_kernel: 0.0675 2022/11/02 03:11:51 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:13:31 - mmengine - INFO - Epoch(train) [328][5/63] lr: 1.0000e-05 eta: 11:18:58 time: 10.4290 data_time: 9.5109 memory: 27783 loss: 0.2287 loss_text: 0.1573 loss_kernel: 0.0714 2022/11/02 03:13:36 - mmengine - INFO - Epoch(train) [328][10/63] lr: 1.0000e-05 eta: 11:19:29 time: 10.4456 data_time: 9.5147 memory: 27783 loss: 0.2229 loss_text: 0.1533 loss_kernel: 0.0695 2022/11/02 03:13:40 - mmengine - INFO - Epoch(train) [328][15/63] lr: 1.0000e-05 eta: 11:19:29 time: 0.8912 data_time: 0.0253 memory: 27783 loss: 0.2177 loss_text: 0.1495 loss_kernel: 0.0682 2022/11/02 03:13:45 - mmengine - INFO - Epoch(train) [328][20/63] lr: 1.0000e-05 eta: 11:18:52 time: 0.8599 data_time: 0.0225 memory: 27783 loss: 0.2214 loss_text: 0.1523 loss_kernel: 0.0691 2022/11/02 03:13:49 - mmengine - INFO - Epoch(train) [328][25/63] lr: 1.0000e-05 eta: 11:18:52 time: 0.8594 data_time: 0.0232 memory: 27783 loss: 0.2126 loss_text: 0.1461 loss_kernel: 0.0666 2022/11/02 03:13:53 - mmengine - INFO - Epoch(train) [328][30/63] lr: 1.0000e-05 eta: 11:18:16 time: 0.8462 data_time: 0.0167 memory: 27783 loss: 0.2026 loss_text: 0.1388 loss_kernel: 0.0637 2022/11/02 03:13:57 - mmengine - INFO - Epoch(train) [328][35/63] lr: 1.0000e-05 eta: 11:18:16 time: 0.8512 data_time: 0.0198 memory: 27783 loss: 0.1661 loss_text: 0.1136 loss_kernel: 0.0525 2022/11/02 03:14:02 - mmengine - INFO - Epoch(train) [328][40/63] lr: 1.0000e-05 eta: 11:17:40 time: 0.9263 data_time: 0.0184 memory: 27783 loss: 0.1525 loss_text: 0.1039 loss_kernel: 0.0486 2022/11/02 03:14:08 - mmengine - INFO - Epoch(train) [328][45/63] lr: 1.0000e-05 eta: 11:17:40 time: 1.0408 data_time: 0.0239 memory: 27783 loss: 0.2040 loss_text: 0.1399 loss_kernel: 0.0641 2022/11/02 03:14:13 - mmengine - INFO - Epoch(train) [328][50/63] lr: 1.0000e-05 eta: 11:17:06 time: 1.0705 data_time: 0.0309 memory: 27783 loss: 0.1976 loss_text: 0.1352 loss_kernel: 0.0624 2022/11/02 03:14:18 - mmengine - INFO - Epoch(train) [328][55/63] lr: 1.0000e-05 eta: 11:17:06 time: 1.0228 data_time: 0.0279 memory: 27783 loss: 0.1657 loss_text: 0.1127 loss_kernel: 0.0530 2022/11/02 03:14:23 - mmengine - INFO - Epoch(train) [328][60/63] lr: 1.0000e-05 eta: 11:16:30 time: 0.9897 data_time: 0.0248 memory: 27783 loss: 0.1897 loss_text: 0.1288 loss_kernel: 0.0610 2022/11/02 03:14:26 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:16:06 - mmengine - INFO - Epoch(train) [329][5/63] lr: 1.0000e-05 eta: 11:16:30 time: 10.5085 data_time: 9.5866 memory: 27783 loss: 0.1462 loss_text: 0.0985 loss_kernel: 0.0477 2022/11/02 03:16:11 - mmengine - INFO - Epoch(train) [329][10/63] lr: 1.0000e-05 eta: 11:17:01 time: 10.5208 data_time: 9.6024 memory: 27783 loss: 0.2099 loss_text: 0.1443 loss_kernel: 0.0656 2022/11/02 03:16:15 - mmengine - INFO - Epoch(train) [329][15/63] lr: 1.0000e-05 eta: 11:17:01 time: 0.9159 data_time: 0.0288 memory: 27783 loss: 0.2318 loss_text: 0.1603 loss_kernel: 0.0715 2022/11/02 03:16:20 - mmengine - INFO - Epoch(train) [329][20/63] lr: 1.0000e-05 eta: 11:16:25 time: 0.8849 data_time: 0.0226 memory: 27783 loss: 0.1677 loss_text: 0.1152 loss_kernel: 0.0524 2022/11/02 03:16:24 - mmengine - INFO - Epoch(train) [329][25/63] lr: 1.0000e-05 eta: 11:16:25 time: 0.9048 data_time: 0.0288 memory: 27783 loss: 0.1496 loss_text: 0.1020 loss_kernel: 0.0476 2022/11/02 03:16:29 - mmengine - INFO - Epoch(train) [329][30/63] lr: 1.0000e-05 eta: 11:15:50 time: 0.9174 data_time: 0.0208 memory: 27783 loss: 0.2008 loss_text: 0.1372 loss_kernel: 0.0636 2022/11/02 03:16:34 - mmengine - INFO - Epoch(train) [329][35/63] lr: 1.0000e-05 eta: 11:15:50 time: 0.9322 data_time: 0.0256 memory: 27783 loss: 0.2048 loss_text: 0.1402 loss_kernel: 0.0646 2022/11/02 03:16:38 - mmengine - INFO - Epoch(train) [329][40/63] lr: 1.0000e-05 eta: 11:15:14 time: 0.9273 data_time: 0.0190 memory: 27783 loss: 0.1995 loss_text: 0.1370 loss_kernel: 0.0625 2022/11/02 03:16:43 - mmengine - INFO - Epoch(train) [329][45/63] lr: 1.0000e-05 eta: 11:15:14 time: 0.9204 data_time: 0.0205 memory: 27783 loss: 0.2035 loss_text: 0.1412 loss_kernel: 0.0623 2022/11/02 03:16:48 - mmengine - INFO - Epoch(train) [329][50/63] lr: 1.0000e-05 eta: 11:14:38 time: 0.9182 data_time: 0.0334 memory: 27783 loss: 0.2197 loss_text: 0.1526 loss_kernel: 0.0671 2022/11/02 03:16:52 - mmengine - INFO - Epoch(train) [329][55/63] lr: 1.0000e-05 eta: 11:14:38 time: 0.9216 data_time: 0.0201 memory: 27783 loss: 0.2227 loss_text: 0.1540 loss_kernel: 0.0687 2022/11/02 03:16:57 - mmengine - INFO - Epoch(train) [329][60/63] lr: 1.0000e-05 eta: 11:14:03 time: 0.9449 data_time: 0.0151 memory: 27783 loss: 0.2239 loss_text: 0.1550 loss_kernel: 0.0689 2022/11/02 03:16:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:18:39 - mmengine - INFO - Epoch(train) [330][5/63] lr: 1.0000e-05 eta: 11:14:03 time: 10.3787 data_time: 9.5142 memory: 27783 loss: 0.2301 loss_text: 0.1588 loss_kernel: 0.0713 2022/11/02 03:18:44 - mmengine - INFO - Epoch(train) [330][10/63] lr: 1.0000e-05 eta: 11:14:33 time: 10.4606 data_time: 9.5299 memory: 27783 loss: 0.1626 loss_text: 0.1110 loss_kernel: 0.0516 2022/11/02 03:18:48 - mmengine - INFO - Epoch(train) [330][15/63] lr: 1.0000e-05 eta: 11:14:33 time: 0.9176 data_time: 0.0281 memory: 27783 loss: 0.1849 loss_text: 0.1269 loss_kernel: 0.0580 2022/11/02 03:18:53 - mmengine - INFO - Epoch(train) [330][20/63] lr: 1.0000e-05 eta: 11:13:57 time: 0.9091 data_time: 0.0255 memory: 27783 loss: 0.2215 loss_text: 0.1523 loss_kernel: 0.0692 2022/11/02 03:18:58 - mmengine - INFO - Epoch(train) [330][25/63] lr: 1.0000e-05 eta: 11:13:57 time: 0.9707 data_time: 0.0288 memory: 27783 loss: 0.1912 loss_text: 0.1305 loss_kernel: 0.0607 2022/11/02 03:19:03 - mmengine - INFO - Epoch(train) [330][30/63] lr: 1.0000e-05 eta: 11:13:22 time: 0.9792 data_time: 0.0202 memory: 27783 loss: 0.1927 loss_text: 0.1330 loss_kernel: 0.0597 2022/11/02 03:19:07 - mmengine - INFO - Epoch(train) [330][35/63] lr: 1.0000e-05 eta: 11:13:22 time: 0.9377 data_time: 0.0234 memory: 27783 loss: 0.1778 loss_text: 0.1218 loss_kernel: 0.0560 2022/11/02 03:19:12 - mmengine - INFO - Epoch(train) [330][40/63] lr: 1.0000e-05 eta: 11:12:46 time: 0.9215 data_time: 0.0229 memory: 27783 loss: 0.1774 loss_text: 0.1197 loss_kernel: 0.0577 2022/11/02 03:19:17 - mmengine - INFO - Epoch(train) [330][45/63] lr: 1.0000e-05 eta: 11:12:46 time: 0.9324 data_time: 0.0231 memory: 27783 loss: 0.1842 loss_text: 0.1261 loss_kernel: 0.0581 2022/11/02 03:19:22 - mmengine - INFO - Epoch(train) [330][50/63] lr: 1.0000e-05 eta: 11:12:11 time: 0.9404 data_time: 0.0289 memory: 27783 loss: 0.1942 loss_text: 0.1340 loss_kernel: 0.0602 2022/11/02 03:19:26 - mmengine - INFO - Epoch(train) [330][55/63] lr: 1.0000e-05 eta: 11:12:11 time: 0.9442 data_time: 0.0168 memory: 27783 loss: 0.2261 loss_text: 0.1558 loss_kernel: 0.0703 2022/11/02 03:19:31 - mmengine - INFO - Epoch(train) [330][60/63] lr: 1.0000e-05 eta: 11:11:35 time: 0.9242 data_time: 0.0157 memory: 27783 loss: 0.2231 loss_text: 0.1533 loss_kernel: 0.0699 2022/11/02 03:19:33 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:21:14 - mmengine - INFO - Epoch(train) [331][5/63] lr: 1.0000e-05 eta: 11:11:35 time: 10.5104 data_time: 9.6096 memory: 27783 loss: 0.1267 loss_text: 0.0844 loss_kernel: 0.0422 2022/11/02 03:21:19 - mmengine - INFO - Epoch(train) [331][10/63] lr: 1.0000e-05 eta: 11:12:06 time: 10.5447 data_time: 9.6250 memory: 27783 loss: 0.1739 loss_text: 0.1191 loss_kernel: 0.0548 2022/11/02 03:21:24 - mmengine - INFO - Epoch(train) [331][15/63] lr: 1.0000e-05 eta: 11:12:06 time: 0.9570 data_time: 0.0285 memory: 27783 loss: 0.2183 loss_text: 0.1510 loss_kernel: 0.0673 2022/11/02 03:21:28 - mmengine - INFO - Epoch(train) [331][20/63] lr: 1.0000e-05 eta: 11:11:30 time: 0.9548 data_time: 0.0236 memory: 27783 loss: 0.1906 loss_text: 0.1308 loss_kernel: 0.0598 2022/11/02 03:21:33 - mmengine - INFO - Epoch(train) [331][25/63] lr: 1.0000e-05 eta: 11:11:30 time: 0.9473 data_time: 0.0282 memory: 27783 loss: 0.1746 loss_text: 0.1195 loss_kernel: 0.0550 2022/11/02 03:21:38 - mmengine - INFO - Epoch(train) [331][30/63] lr: 1.0000e-05 eta: 11:10:55 time: 0.9711 data_time: 0.0190 memory: 27783 loss: 0.1751 loss_text: 0.1196 loss_kernel: 0.0555 2022/11/02 03:21:43 - mmengine - INFO - Epoch(train) [331][35/63] lr: 1.0000e-05 eta: 11:10:55 time: 0.9713 data_time: 0.0229 memory: 27783 loss: 0.1749 loss_text: 0.1190 loss_kernel: 0.0559 2022/11/02 03:21:48 - mmengine - INFO - Epoch(train) [331][40/63] lr: 1.0000e-05 eta: 11:10:20 time: 0.9448 data_time: 0.0261 memory: 27783 loss: 0.1650 loss_text: 0.1122 loss_kernel: 0.0528 2022/11/02 03:21:52 - mmengine - INFO - Epoch(train) [331][45/63] lr: 1.0000e-05 eta: 11:10:20 time: 0.9379 data_time: 0.0270 memory: 27783 loss: 0.1433 loss_text: 0.0976 loss_kernel: 0.0457 2022/11/02 03:21:57 - mmengine - INFO - Epoch(train) [331][50/63] lr: 1.0000e-05 eta: 11:09:45 time: 0.9386 data_time: 0.0276 memory: 27783 loss: 0.1629 loss_text: 0.1116 loss_kernel: 0.0513 2022/11/02 03:22:02 - mmengine - INFO - Epoch(train) [331][55/63] lr: 1.0000e-05 eta: 11:09:45 time: 0.9875 data_time: 0.0215 memory: 27783 loss: 0.1705 loss_text: 0.1158 loss_kernel: 0.0546 2022/11/02 03:22:07 - mmengine - INFO - Epoch(train) [331][60/63] lr: 1.0000e-05 eta: 11:09:10 time: 1.0070 data_time: 0.0222 memory: 27783 loss: 0.1810 loss_text: 0.1233 loss_kernel: 0.0577 2022/11/02 03:22:09 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:23:49 - mmengine - INFO - Epoch(train) [332][5/63] lr: 1.0000e-05 eta: 11:09:10 time: 10.3840 data_time: 9.4788 memory: 27783 loss: 0.2131 loss_text: 0.1465 loss_kernel: 0.0666 2022/11/02 03:23:54 - mmengine - INFO - Epoch(train) [332][10/63] lr: 1.0000e-05 eta: 11:09:39 time: 10.4224 data_time: 9.4908 memory: 27783 loss: 0.2073 loss_text: 0.1426 loss_kernel: 0.0647 2022/11/02 03:23:59 - mmengine - INFO - Epoch(train) [332][15/63] lr: 1.0000e-05 eta: 11:09:39 time: 0.9591 data_time: 0.0245 memory: 27783 loss: 0.1713 loss_text: 0.1175 loss_kernel: 0.0539 2022/11/02 03:24:03 - mmengine - INFO - Epoch(train) [332][20/63] lr: 1.0000e-05 eta: 11:09:03 time: 0.9406 data_time: 0.0238 memory: 27783 loss: 0.1879 loss_text: 0.1289 loss_kernel: 0.0590 2022/11/02 03:24:08 - mmengine - INFO - Epoch(train) [332][25/63] lr: 1.0000e-05 eta: 11:09:03 time: 0.9054 data_time: 0.0284 memory: 27783 loss: 0.2061 loss_text: 0.1412 loss_kernel: 0.0649 2022/11/02 03:24:12 - mmengine - INFO - Epoch(train) [332][30/63] lr: 1.0000e-05 eta: 11:08:28 time: 0.9274 data_time: 0.0185 memory: 27783 loss: 0.2340 loss_text: 0.1606 loss_kernel: 0.0734 2022/11/02 03:24:18 - mmengine - INFO - Epoch(train) [332][35/63] lr: 1.0000e-05 eta: 11:08:28 time: 0.9963 data_time: 0.0217 memory: 27783 loss: 0.2234 loss_text: 0.1532 loss_kernel: 0.0702 2022/11/02 03:24:22 - mmengine - INFO - Epoch(train) [332][40/63] lr: 1.0000e-05 eta: 11:07:53 time: 0.9947 data_time: 0.0207 memory: 27783 loss: 0.2003 loss_text: 0.1373 loss_kernel: 0.0630 2022/11/02 03:24:27 - mmengine - INFO - Epoch(train) [332][45/63] lr: 1.0000e-05 eta: 11:07:53 time: 0.9457 data_time: 0.0214 memory: 27783 loss: 0.2124 loss_text: 0.1458 loss_kernel: 0.0666 2022/11/02 03:24:32 - mmengine - INFO - Epoch(train) [332][50/63] lr: 1.0000e-05 eta: 11:07:18 time: 0.9371 data_time: 0.0250 memory: 27783 loss: 0.1822 loss_text: 0.1246 loss_kernel: 0.0576 2022/11/02 03:24:36 - mmengine - INFO - Epoch(train) [332][55/63] lr: 1.0000e-05 eta: 11:07:18 time: 0.9256 data_time: 0.0190 memory: 27783 loss: 0.1737 loss_text: 0.1185 loss_kernel: 0.0552 2022/11/02 03:24:41 - mmengine - INFO - Epoch(train) [332][60/63] lr: 1.0000e-05 eta: 11:06:42 time: 0.9116 data_time: 0.0193 memory: 27783 loss: 0.2263 loss_text: 0.1554 loss_kernel: 0.0709 2022/11/02 03:24:43 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:26:23 - mmengine - INFO - Epoch(train) [333][5/63] lr: 1.0000e-05 eta: 11:06:42 time: 10.3971 data_time: 9.5581 memory: 27783 loss: 0.2017 loss_text: 0.1386 loss_kernel: 0.0631 2022/11/02 03:26:27 - mmengine - INFO - Epoch(train) [333][10/63] lr: 1.0000e-05 eta: 11:07:10 time: 10.4012 data_time: 9.5673 memory: 27783 loss: 0.1954 loss_text: 0.1330 loss_kernel: 0.0624 2022/11/02 03:26:32 - mmengine - INFO - Epoch(train) [333][15/63] lr: 1.0000e-05 eta: 11:07:10 time: 0.9278 data_time: 0.0196 memory: 27783 loss: 0.2399 loss_text: 0.1645 loss_kernel: 0.0754 2022/11/02 03:26:38 - mmengine - INFO - Epoch(train) [333][20/63] lr: 1.0000e-05 eta: 11:06:36 time: 1.0714 data_time: 0.0208 memory: 27783 loss: 0.2199 loss_text: 0.1510 loss_kernel: 0.0690 2022/11/02 03:26:43 - mmengine - INFO - Epoch(train) [333][25/63] lr: 1.0000e-05 eta: 11:06:36 time: 1.1143 data_time: 0.0288 memory: 27783 loss: 0.1602 loss_text: 0.1088 loss_kernel: 0.0514 2022/11/02 03:26:48 - mmengine - INFO - Epoch(train) [333][30/63] lr: 1.0000e-05 eta: 11:06:02 time: 1.0360 data_time: 0.0205 memory: 27783 loss: 0.1855 loss_text: 0.1263 loss_kernel: 0.0593 2022/11/02 03:26:53 - mmengine - INFO - Epoch(train) [333][35/63] lr: 1.0000e-05 eta: 11:06:02 time: 1.0016 data_time: 0.0264 memory: 27783 loss: 0.2019 loss_text: 0.1384 loss_kernel: 0.0635 2022/11/02 03:26:58 - mmengine - INFO - Epoch(train) [333][40/63] lr: 1.0000e-05 eta: 11:05:27 time: 0.9789 data_time: 0.0227 memory: 27783 loss: 0.1672 loss_text: 0.1148 loss_kernel: 0.0524 2022/11/02 03:27:03 - mmengine - INFO - Epoch(train) [333][45/63] lr: 1.0000e-05 eta: 11:05:27 time: 0.9442 data_time: 0.0204 memory: 27783 loss: 0.2096 loss_text: 0.1451 loss_kernel: 0.0645 2022/11/02 03:27:08 - mmengine - INFO - Epoch(train) [333][50/63] lr: 1.0000e-05 eta: 11:04:52 time: 0.9466 data_time: 0.0311 memory: 27783 loss: 0.2710 loss_text: 0.1883 loss_kernel: 0.0828 2022/11/02 03:27:12 - mmengine - INFO - Epoch(train) [333][55/63] lr: 1.0000e-05 eta: 11:04:52 time: 0.9438 data_time: 0.0203 memory: 27783 loss: 0.2202 loss_text: 0.1523 loss_kernel: 0.0679 2022/11/02 03:27:17 - mmengine - INFO - Epoch(train) [333][60/63] lr: 1.0000e-05 eta: 11:04:17 time: 0.9492 data_time: 0.0169 memory: 27783 loss: 0.1696 loss_text: 0.1162 loss_kernel: 0.0534 2022/11/02 03:27:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:28:59 - mmengine - INFO - Epoch(train) [334][5/63] lr: 1.0000e-05 eta: 11:04:17 time: 10.3754 data_time: 9.4942 memory: 27783 loss: 0.1906 loss_text: 0.1303 loss_kernel: 0.0603 2022/11/02 03:29:04 - mmengine - INFO - Epoch(train) [334][10/63] lr: 1.0000e-05 eta: 11:04:45 time: 10.4236 data_time: 9.5063 memory: 27783 loss: 0.2137 loss_text: 0.1465 loss_kernel: 0.0672 2022/11/02 03:29:09 - mmengine - INFO - Epoch(train) [334][15/63] lr: 1.0000e-05 eta: 11:04:45 time: 0.9659 data_time: 0.0260 memory: 27783 loss: 0.2350 loss_text: 0.1618 loss_kernel: 0.0733 2022/11/02 03:29:14 - mmengine - INFO - Epoch(train) [334][20/63] lr: 1.0000e-05 eta: 11:04:10 time: 0.9703 data_time: 0.0207 memory: 27783 loss: 0.1817 loss_text: 0.1241 loss_kernel: 0.0576 2022/11/02 03:29:15 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:29:18 - mmengine - INFO - Epoch(train) [334][25/63] lr: 1.0000e-05 eta: 11:04:10 time: 0.9552 data_time: 0.0258 memory: 27783 loss: 0.1671 loss_text: 0.1141 loss_kernel: 0.0530 2022/11/02 03:29:23 - mmengine - INFO - Epoch(train) [334][30/63] lr: 1.0000e-05 eta: 11:03:35 time: 0.9902 data_time: 0.0281 memory: 27783 loss: 0.1864 loss_text: 0.1278 loss_kernel: 0.0586 2022/11/02 03:29:28 - mmengine - INFO - Epoch(train) [334][35/63] lr: 1.0000e-05 eta: 11:03:35 time: 1.0048 data_time: 0.0248 memory: 27783 loss: 0.2188 loss_text: 0.1503 loss_kernel: 0.0686 2022/11/02 03:29:33 - mmengine - INFO - Epoch(train) [334][40/63] lr: 1.0000e-05 eta: 11:03:00 time: 0.9933 data_time: 0.0276 memory: 27783 loss: 0.2192 loss_text: 0.1515 loss_kernel: 0.0677 2022/11/02 03:29:38 - mmengine - INFO - Epoch(train) [334][45/63] lr: 1.0000e-05 eta: 11:03:00 time: 0.9761 data_time: 0.0221 memory: 27783 loss: 0.1610 loss_text: 0.1108 loss_kernel: 0.0502 2022/11/02 03:29:43 - mmengine - INFO - Epoch(train) [334][50/63] lr: 1.0000e-05 eta: 11:02:25 time: 0.9584 data_time: 0.0177 memory: 27783 loss: 0.1495 loss_text: 0.1022 loss_kernel: 0.0473 2022/11/02 03:29:48 - mmengine - INFO - Epoch(train) [334][55/63] lr: 1.0000e-05 eta: 11:02:25 time: 0.9321 data_time: 0.0187 memory: 27783 loss: 0.1773 loss_text: 0.1224 loss_kernel: 0.0549 2022/11/02 03:29:53 - mmengine - INFO - Epoch(train) [334][60/63] lr: 1.0000e-05 eta: 11:01:50 time: 0.9527 data_time: 0.0201 memory: 27783 loss: 0.2251 loss_text: 0.1548 loss_kernel: 0.0702 2022/11/02 03:29:55 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:31:35 - mmengine - INFO - Epoch(train) [335][5/63] lr: 1.0000e-05 eta: 11:01:50 time: 10.4633 data_time: 9.5947 memory: 27783 loss: 0.1735 loss_text: 0.1191 loss_kernel: 0.0544 2022/11/02 03:31:40 - mmengine - INFO - Epoch(train) [335][10/63] lr: 1.0000e-05 eta: 11:02:19 time: 10.5273 data_time: 9.6056 memory: 27783 loss: 0.1738 loss_text: 0.1185 loss_kernel: 0.0553 2022/11/02 03:31:45 - mmengine - INFO - Epoch(train) [335][15/63] lr: 1.0000e-05 eta: 11:02:19 time: 0.9656 data_time: 0.0233 memory: 27783 loss: 0.1770 loss_text: 0.1211 loss_kernel: 0.0559 2022/11/02 03:31:50 - mmengine - INFO - Epoch(train) [335][20/63] lr: 1.0000e-05 eta: 11:01:44 time: 0.9729 data_time: 0.0226 memory: 27783 loss: 0.1798 loss_text: 0.1235 loss_kernel: 0.0562 2022/11/02 03:31:55 - mmengine - INFO - Epoch(train) [335][25/63] lr: 1.0000e-05 eta: 11:01:44 time: 0.9896 data_time: 0.0290 memory: 27783 loss: 0.1728 loss_text: 0.1192 loss_kernel: 0.0536 2022/11/02 03:32:00 - mmengine - INFO - Epoch(train) [335][30/63] lr: 1.0000e-05 eta: 11:01:09 time: 0.9560 data_time: 0.0178 memory: 27783 loss: 0.1826 loss_text: 0.1258 loss_kernel: 0.0568 2022/11/02 03:32:04 - mmengine - INFO - Epoch(train) [335][35/63] lr: 1.0000e-05 eta: 11:01:09 time: 0.9326 data_time: 0.0209 memory: 27783 loss: 0.1944 loss_text: 0.1337 loss_kernel: 0.0606 2022/11/02 03:32:09 - mmengine - INFO - Epoch(train) [335][40/63] lr: 1.0000e-05 eta: 11:00:34 time: 0.9450 data_time: 0.0179 memory: 27783 loss: 0.2003 loss_text: 0.1375 loss_kernel: 0.0627 2022/11/02 03:32:14 - mmengine - INFO - Epoch(train) [335][45/63] lr: 1.0000e-05 eta: 11:00:34 time: 0.9683 data_time: 0.0228 memory: 27783 loss: 0.2300 loss_text: 0.1589 loss_kernel: 0.0711 2022/11/02 03:32:19 - mmengine - INFO - Epoch(train) [335][50/63] lr: 1.0000e-05 eta: 10:59:59 time: 0.9852 data_time: 0.0309 memory: 27783 loss: 0.2210 loss_text: 0.1525 loss_kernel: 0.0685 2022/11/02 03:32:24 - mmengine - INFO - Epoch(train) [335][55/63] lr: 1.0000e-05 eta: 10:59:59 time: 0.9728 data_time: 0.0180 memory: 27783 loss: 0.1936 loss_text: 0.1324 loss_kernel: 0.0612 2022/11/02 03:32:28 - mmengine - INFO - Epoch(train) [335][60/63] lr: 1.0000e-05 eta: 10:59:24 time: 0.9158 data_time: 0.0175 memory: 27783 loss: 0.2037 loss_text: 0.1397 loss_kernel: 0.0639 2022/11/02 03:32:30 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:34:10 - mmengine - INFO - Epoch(train) [336][5/63] lr: 1.0000e-05 eta: 10:59:24 time: 10.3500 data_time: 9.5075 memory: 27783 loss: 0.2129 loss_text: 0.1464 loss_kernel: 0.0665 2022/11/02 03:34:15 - mmengine - INFO - Epoch(train) [336][10/63] lr: 1.0000e-05 eta: 10:59:51 time: 10.4111 data_time: 9.5228 memory: 27783 loss: 0.1860 loss_text: 0.1276 loss_kernel: 0.0584 2022/11/02 03:34:19 - mmengine - INFO - Epoch(train) [336][15/63] lr: 1.0000e-05 eta: 10:59:51 time: 0.9226 data_time: 0.0253 memory: 27783 loss: 0.1875 loss_text: 0.1284 loss_kernel: 0.0591 2022/11/02 03:34:24 - mmengine - INFO - Epoch(train) [336][20/63] lr: 1.0000e-05 eta: 10:59:16 time: 0.9355 data_time: 0.0184 memory: 27783 loss: 0.1993 loss_text: 0.1366 loss_kernel: 0.0627 2022/11/02 03:34:29 - mmengine - INFO - Epoch(train) [336][25/63] lr: 1.0000e-05 eta: 10:59:16 time: 0.9581 data_time: 0.0260 memory: 27783 loss: 0.1442 loss_text: 0.0972 loss_kernel: 0.0470 2022/11/02 03:34:33 - mmengine - INFO - Epoch(train) [336][30/63] lr: 1.0000e-05 eta: 10:58:41 time: 0.9214 data_time: 0.0178 memory: 27783 loss: 0.2183 loss_text: 0.1491 loss_kernel: 0.0692 2022/11/02 03:34:38 - mmengine - INFO - Epoch(train) [336][35/63] lr: 1.0000e-05 eta: 10:58:41 time: 0.9159 data_time: 0.0195 memory: 27783 loss: 0.2449 loss_text: 0.1683 loss_kernel: 0.0766 2022/11/02 03:34:43 - mmengine - INFO - Epoch(train) [336][40/63] lr: 1.0000e-05 eta: 10:58:06 time: 0.9598 data_time: 0.0218 memory: 27783 loss: 0.1613 loss_text: 0.1089 loss_kernel: 0.0524 2022/11/02 03:34:47 - mmengine - INFO - Epoch(train) [336][45/63] lr: 1.0000e-05 eta: 10:58:06 time: 0.9405 data_time: 0.0169 memory: 27783 loss: 0.1964 loss_text: 0.1345 loss_kernel: 0.0619 2022/11/02 03:34:52 - mmengine - INFO - Epoch(train) [336][50/63] lr: 1.0000e-05 eta: 10:57:31 time: 0.9253 data_time: 0.0229 memory: 27783 loss: 0.1972 loss_text: 0.1357 loss_kernel: 0.0615 2022/11/02 03:34:57 - mmengine - INFO - Epoch(train) [336][55/63] lr: 1.0000e-05 eta: 10:57:31 time: 0.9279 data_time: 0.0191 memory: 27783 loss: 0.1764 loss_text: 0.1205 loss_kernel: 0.0560 2022/11/02 03:35:01 - mmengine - INFO - Epoch(train) [336][60/63] lr: 1.0000e-05 eta: 10:56:56 time: 0.9241 data_time: 0.0154 memory: 27783 loss: 0.1915 loss_text: 0.1308 loss_kernel: 0.0607 2022/11/02 03:35:03 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:36:43 - mmengine - INFO - Epoch(train) [337][5/63] lr: 1.0000e-05 eta: 10:56:56 time: 10.3629 data_time: 9.4967 memory: 27783 loss: 0.1871 loss_text: 0.1279 loss_kernel: 0.0592 2022/11/02 03:36:48 - mmengine - INFO - Epoch(train) [337][10/63] lr: 1.0000e-05 eta: 10:57:23 time: 10.4046 data_time: 9.5071 memory: 27783 loss: 0.1789 loss_text: 0.1222 loss_kernel: 0.0567 2022/11/02 03:36:52 - mmengine - INFO - Epoch(train) [337][15/63] lr: 1.0000e-05 eta: 10:57:23 time: 0.9087 data_time: 0.0216 memory: 27783 loss: 0.2194 loss_text: 0.1502 loss_kernel: 0.0693 2022/11/02 03:36:57 - mmengine - INFO - Epoch(train) [337][20/63] lr: 1.0000e-05 eta: 10:56:48 time: 0.9481 data_time: 0.0178 memory: 27783 loss: 0.2445 loss_text: 0.1683 loss_kernel: 0.0762 2022/11/02 03:37:02 - mmengine - INFO - Epoch(train) [337][25/63] lr: 1.0000e-05 eta: 10:56:48 time: 0.9748 data_time: 0.0255 memory: 27783 loss: 0.1810 loss_text: 0.1241 loss_kernel: 0.0569 2022/11/02 03:37:06 - mmengine - INFO - Epoch(train) [337][30/63] lr: 1.0000e-05 eta: 10:56:13 time: 0.9302 data_time: 0.0190 memory: 27783 loss: 0.1893 loss_text: 0.1309 loss_kernel: 0.0584 2022/11/02 03:37:11 - mmengine - INFO - Epoch(train) [337][35/63] lr: 1.0000e-05 eta: 10:56:13 time: 0.9135 data_time: 0.0170 memory: 27783 loss: 0.2058 loss_text: 0.1421 loss_kernel: 0.0637 2022/11/02 03:37:16 - mmengine - INFO - Epoch(train) [337][40/63] lr: 1.0000e-05 eta: 10:55:38 time: 0.9226 data_time: 0.0239 memory: 27783 loss: 0.1790 loss_text: 0.1215 loss_kernel: 0.0575 2022/11/02 03:37:20 - mmengine - INFO - Epoch(train) [337][45/63] lr: 1.0000e-05 eta: 10:55:38 time: 0.9008 data_time: 0.0276 memory: 27783 loss: 0.2095 loss_text: 0.1446 loss_kernel: 0.0649 2022/11/02 03:37:25 - mmengine - INFO - Epoch(train) [337][50/63] lr: 1.0000e-05 eta: 10:55:03 time: 0.9166 data_time: 0.0260 memory: 27783 loss: 0.1990 loss_text: 0.1384 loss_kernel: 0.0606 2022/11/02 03:37:30 - mmengine - INFO - Epoch(train) [337][55/63] lr: 1.0000e-05 eta: 10:55:03 time: 0.9351 data_time: 0.0197 memory: 27783 loss: 0.1514 loss_text: 0.1037 loss_kernel: 0.0477 2022/11/02 03:37:34 - mmengine - INFO - Epoch(train) [337][60/63] lr: 1.0000e-05 eta: 10:54:28 time: 0.9486 data_time: 0.0206 memory: 27783 loss: 0.1963 loss_text: 0.1338 loss_kernel: 0.0625 2022/11/02 03:37:37 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:39:18 - mmengine - INFO - Epoch(train) [338][5/63] lr: 1.0000e-05 eta: 10:54:28 time: 10.5190 data_time: 9.5538 memory: 27783 loss: 0.2027 loss_text: 0.1386 loss_kernel: 0.0641 2022/11/02 03:39:23 - mmengine - INFO - Epoch(train) [338][10/63] lr: 1.0000e-05 eta: 10:54:56 time: 10.5889 data_time: 9.5680 memory: 27783 loss: 0.1546 loss_text: 0.1051 loss_kernel: 0.0495 2022/11/02 03:39:27 - mmengine - INFO - Epoch(train) [338][15/63] lr: 1.0000e-05 eta: 10:54:56 time: 0.9491 data_time: 0.0235 memory: 27783 loss: 0.1691 loss_text: 0.1150 loss_kernel: 0.0541 2022/11/02 03:39:32 - mmengine - INFO - Epoch(train) [338][20/63] lr: 1.0000e-05 eta: 10:54:21 time: 0.9487 data_time: 0.0157 memory: 27783 loss: 0.1944 loss_text: 0.1331 loss_kernel: 0.0613 2022/11/02 03:39:37 - mmengine - INFO - Epoch(train) [338][25/63] lr: 1.0000e-05 eta: 10:54:21 time: 0.9903 data_time: 0.0350 memory: 27783 loss: 0.2104 loss_text: 0.1448 loss_kernel: 0.0656 2022/11/02 03:39:42 - mmengine - INFO - Epoch(train) [338][30/63] lr: 1.0000e-05 eta: 10:53:46 time: 1.0238 data_time: 0.0271 memory: 27783 loss: 0.2143 loss_text: 0.1474 loss_kernel: 0.0669 2022/11/02 03:39:47 - mmengine - INFO - Epoch(train) [338][35/63] lr: 1.0000e-05 eta: 10:53:46 time: 0.9830 data_time: 0.0182 memory: 27783 loss: 0.2141 loss_text: 0.1469 loss_kernel: 0.0672 2022/11/02 03:39:52 - mmengine - INFO - Epoch(train) [338][40/63] lr: 1.0000e-05 eta: 10:53:11 time: 0.9210 data_time: 0.0224 memory: 27783 loss: 0.2086 loss_text: 0.1423 loss_kernel: 0.0663 2022/11/02 03:39:56 - mmengine - INFO - Epoch(train) [338][45/63] lr: 1.0000e-05 eta: 10:53:11 time: 0.9179 data_time: 0.0236 memory: 27783 loss: 0.1770 loss_text: 0.1199 loss_kernel: 0.0571 2022/11/02 03:40:01 - mmengine - INFO - Epoch(train) [338][50/63] lr: 1.0000e-05 eta: 10:52:37 time: 0.9442 data_time: 0.0293 memory: 27783 loss: 0.1791 loss_text: 0.1224 loss_kernel: 0.0567 2022/11/02 03:40:06 - mmengine - INFO - Epoch(train) [338][55/63] lr: 1.0000e-05 eta: 10:52:37 time: 0.9558 data_time: 0.0197 memory: 27783 loss: 0.2028 loss_text: 0.1396 loss_kernel: 0.0632 2022/11/02 03:40:11 - mmengine - INFO - Epoch(train) [338][60/63] lr: 1.0000e-05 eta: 10:52:02 time: 0.9528 data_time: 0.0175 memory: 27783 loss: 0.1878 loss_text: 0.1278 loss_kernel: 0.0600 2022/11/02 03:40:13 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:41:53 - mmengine - INFO - Epoch(train) [339][5/63] lr: 1.0000e-05 eta: 10:52:02 time: 10.3947 data_time: 9.4980 memory: 27783 loss: 0.1867 loss_text: 0.1295 loss_kernel: 0.0572 2022/11/02 03:41:57 - mmengine - INFO - Epoch(train) [339][10/63] lr: 1.0000e-05 eta: 10:52:28 time: 10.4181 data_time: 9.5007 memory: 27783 loss: 0.2037 loss_text: 0.1390 loss_kernel: 0.0647 2022/11/02 03:42:02 - mmengine - INFO - Epoch(train) [339][15/63] lr: 1.0000e-05 eta: 10:52:28 time: 0.9579 data_time: 0.0213 memory: 27783 loss: 0.2093 loss_text: 0.1433 loss_kernel: 0.0660 2022/11/02 03:42:07 - mmengine - INFO - Epoch(train) [339][20/63] lr: 1.0000e-05 eta: 10:51:53 time: 0.9775 data_time: 0.0310 memory: 27783 loss: 0.2339 loss_text: 0.1622 loss_kernel: 0.0717 2022/11/02 03:42:12 - mmengine - INFO - Epoch(train) [339][25/63] lr: 1.0000e-05 eta: 10:51:53 time: 0.9545 data_time: 0.0311 memory: 27783 loss: 0.2197 loss_text: 0.1519 loss_kernel: 0.0678 2022/11/02 03:42:17 - mmengine - INFO - Epoch(train) [339][30/63] lr: 1.0000e-05 eta: 10:51:19 time: 0.9592 data_time: 0.0271 memory: 27783 loss: 0.2205 loss_text: 0.1522 loss_kernel: 0.0683 2022/11/02 03:42:22 - mmengine - INFO - Epoch(train) [339][35/63] lr: 1.0000e-05 eta: 10:51:19 time: 0.9721 data_time: 0.0250 memory: 27783 loss: 0.1929 loss_text: 0.1327 loss_kernel: 0.0602 2022/11/02 03:42:26 - mmengine - INFO - Epoch(train) [339][40/63] lr: 1.0000e-05 eta: 10:50:44 time: 0.9543 data_time: 0.0186 memory: 27783 loss: 0.1628 loss_text: 0.1100 loss_kernel: 0.0528 2022/11/02 03:42:31 - mmengine - INFO - Epoch(train) [339][45/63] lr: 1.0000e-05 eta: 10:50:44 time: 0.9398 data_time: 0.0193 memory: 27783 loss: 0.1875 loss_text: 0.1272 loss_kernel: 0.0603 2022/11/02 03:42:36 - mmengine - INFO - Epoch(train) [339][50/63] lr: 1.0000e-05 eta: 10:50:10 time: 0.9503 data_time: 0.0229 memory: 27783 loss: 0.1757 loss_text: 0.1192 loss_kernel: 0.0566 2022/11/02 03:42:41 - mmengine - INFO - Epoch(train) [339][55/63] lr: 1.0000e-05 eta: 10:50:10 time: 0.9708 data_time: 0.0218 memory: 27783 loss: 0.1794 loss_text: 0.1222 loss_kernel: 0.0572 2022/11/02 03:42:45 - mmengine - INFO - Epoch(train) [339][60/63] lr: 1.0000e-05 eta: 10:49:35 time: 0.9717 data_time: 0.0275 memory: 27783 loss: 0.1964 loss_text: 0.1349 loss_kernel: 0.0615 2022/11/02 03:42:48 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:44:28 - mmengine - INFO - Epoch(train) [340][5/63] lr: 1.0000e-05 eta: 10:49:35 time: 10.3776 data_time: 9.5303 memory: 27783 loss: 0.2046 loss_text: 0.1411 loss_kernel: 0.0635 2022/11/02 03:44:33 - mmengine - INFO - Epoch(train) [340][10/63] lr: 1.0000e-05 eta: 10:50:01 time: 10.4745 data_time: 9.5456 memory: 27783 loss: 0.1780 loss_text: 0.1215 loss_kernel: 0.0565 2022/11/02 03:44:37 - mmengine - INFO - Epoch(train) [340][15/63] lr: 1.0000e-05 eta: 10:50:01 time: 0.9533 data_time: 0.0284 memory: 27783 loss: 0.2045 loss_text: 0.1405 loss_kernel: 0.0639 2022/11/02 03:44:42 - mmengine - INFO - Epoch(train) [340][20/63] lr: 1.0000e-05 eta: 10:49:26 time: 0.9570 data_time: 0.0213 memory: 27783 loss: 0.2434 loss_text: 0.1686 loss_kernel: 0.0748 2022/11/02 03:44:47 - mmengine - INFO - Epoch(train) [340][25/63] lr: 1.0000e-05 eta: 10:49:26 time: 0.9998 data_time: 0.0468 memory: 27783 loss: 0.1953 loss_text: 0.1343 loss_kernel: 0.0610 2022/11/02 03:44:52 - mmengine - INFO - Epoch(train) [340][30/63] lr: 1.0000e-05 eta: 10:48:52 time: 0.9592 data_time: 0.0322 memory: 27783 loss: 0.2202 loss_text: 0.1518 loss_kernel: 0.0685 2022/11/02 03:44:57 - mmengine - INFO - Epoch(train) [340][35/63] lr: 1.0000e-05 eta: 10:48:52 time: 0.9633 data_time: 0.0222 memory: 27783 loss: 0.2234 loss_text: 0.1535 loss_kernel: 0.0698 2022/11/02 03:45:01 - mmengine - INFO - Epoch(train) [340][40/63] lr: 1.0000e-05 eta: 10:48:17 time: 0.9655 data_time: 0.0228 memory: 27783 loss: 0.1984 loss_text: 0.1350 loss_kernel: 0.0634 2022/11/02 03:45:07 - mmengine - INFO - Epoch(train) [340][45/63] lr: 1.0000e-05 eta: 10:48:17 time: 0.9973 data_time: 0.0240 memory: 27783 loss: 0.2014 loss_text: 0.1371 loss_kernel: 0.0643 2022/11/02 03:45:11 - mmengine - INFO - Epoch(train) [340][50/63] lr: 1.0000e-05 eta: 10:47:43 time: 0.9919 data_time: 0.0358 memory: 27783 loss: 0.2061 loss_text: 0.1410 loss_kernel: 0.0651 2022/11/02 03:45:16 - mmengine - INFO - Epoch(train) [340][55/63] lr: 1.0000e-05 eta: 10:47:43 time: 0.9184 data_time: 0.0195 memory: 27783 loss: 0.1981 loss_text: 0.1378 loss_kernel: 0.0604 2022/11/02 03:45:21 - mmengine - INFO - Epoch(train) [340][60/63] lr: 1.0000e-05 eta: 10:47:08 time: 0.9241 data_time: 0.0142 memory: 27783 loss: 0.1836 loss_text: 0.1290 loss_kernel: 0.0546 2022/11/02 03:45:23 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:45:23 - mmengine - INFO - Saving checkpoint at 340 epochs 2022/11/02 03:47:08 - mmengine - INFO - Epoch(train) [341][5/63] lr: 1.0000e-05 eta: 10:47:08 time: 10.3567 data_time: 9.5025 memory: 27783 loss: 0.2080 loss_text: 0.1427 loss_kernel: 0.0654 2022/11/02 03:47:13 - mmengine - INFO - Epoch(train) [341][10/63] lr: 1.0000e-05 eta: 10:47:34 time: 10.4368 data_time: 9.5117 memory: 27783 loss: 0.1918 loss_text: 0.1314 loss_kernel: 0.0604 2022/11/02 03:47:17 - mmengine - INFO - Epoch(train) [341][15/63] lr: 1.0000e-05 eta: 10:47:34 time: 0.9561 data_time: 0.0222 memory: 27783 loss: 0.1579 loss_text: 0.1074 loss_kernel: 0.0505 2022/11/02 03:47:22 - mmengine - INFO - Epoch(train) [341][20/63] lr: 1.0000e-05 eta: 10:46:59 time: 0.9201 data_time: 0.0232 memory: 27783 loss: 0.2138 loss_text: 0.1475 loss_kernel: 0.0663 2022/11/02 03:47:27 - mmengine - INFO - Epoch(train) [341][25/63] lr: 1.0000e-05 eta: 10:46:59 time: 0.9776 data_time: 0.0280 memory: 27783 loss: 0.2168 loss_text: 0.1495 loss_kernel: 0.0673 2022/11/02 03:47:32 - mmengine - INFO - Epoch(train) [341][30/63] lr: 1.0000e-05 eta: 10:46:25 time: 1.0305 data_time: 0.0212 memory: 27783 loss: 0.1998 loss_text: 0.1370 loss_kernel: 0.0628 2022/11/02 03:47:37 - mmengine - INFO - Epoch(train) [341][35/63] lr: 1.0000e-05 eta: 10:46:25 time: 0.9989 data_time: 0.0214 memory: 27783 loss: 0.1830 loss_text: 0.1258 loss_kernel: 0.0572 2022/11/02 03:47:42 - mmengine - INFO - Epoch(train) [341][40/63] lr: 1.0000e-05 eta: 10:45:50 time: 0.9544 data_time: 0.0253 memory: 27783 loss: 0.1556 loss_text: 0.1056 loss_kernel: 0.0500 2022/11/02 03:47:46 - mmengine - INFO - Epoch(train) [341][45/63] lr: 1.0000e-05 eta: 10:45:50 time: 0.9133 data_time: 0.0210 memory: 27783 loss: 0.1766 loss_text: 0.1204 loss_kernel: 0.0562 2022/11/02 03:47:51 - mmengine - INFO - Epoch(train) [341][50/63] lr: 1.0000e-05 eta: 10:45:16 time: 0.9424 data_time: 0.0251 memory: 27783 loss: 0.1731 loss_text: 0.1190 loss_kernel: 0.0541 2022/11/02 03:47:56 - mmengine - INFO - Epoch(train) [341][55/63] lr: 1.0000e-05 eta: 10:45:16 time: 0.9606 data_time: 0.0223 memory: 27783 loss: 0.1593 loss_text: 0.1088 loss_kernel: 0.0505 2022/11/02 03:48:00 - mmengine - INFO - Epoch(train) [341][60/63] lr: 1.0000e-05 eta: 10:44:41 time: 0.9270 data_time: 0.0183 memory: 27783 loss: 0.1701 loss_text: 0.1155 loss_kernel: 0.0546 2022/11/02 03:48:02 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:49:42 - mmengine - INFO - Epoch(train) [342][5/63] lr: 1.0000e-05 eta: 10:44:41 time: 10.3593 data_time: 9.4989 memory: 27783 loss: 0.2156 loss_text: 0.1508 loss_kernel: 0.0648 2022/11/02 03:49:47 - mmengine - INFO - Epoch(train) [342][10/63] lr: 1.0000e-05 eta: 10:45:06 time: 10.4132 data_time: 9.5086 memory: 27783 loss: 0.1866 loss_text: 0.1279 loss_kernel: 0.0588 2022/11/02 03:49:51 - mmengine - INFO - Epoch(train) [342][15/63] lr: 1.0000e-05 eta: 10:45:06 time: 0.9047 data_time: 0.0253 memory: 27783 loss: 0.2030 loss_text: 0.1398 loss_kernel: 0.0632 2022/11/02 03:49:56 - mmengine - INFO - Epoch(train) [342][20/63] lr: 1.0000e-05 eta: 10:44:31 time: 0.9263 data_time: 0.0253 memory: 27783 loss: 0.2110 loss_text: 0.1461 loss_kernel: 0.0649 2022/11/02 03:50:01 - mmengine - INFO - Epoch(train) [342][25/63] lr: 1.0000e-05 eta: 10:44:31 time: 0.9436 data_time: 0.0313 memory: 27783 loss: 0.2036 loss_text: 0.1399 loss_kernel: 0.0637 2022/11/02 03:50:05 - mmengine - INFO - Epoch(train) [342][30/63] lr: 1.0000e-05 eta: 10:43:57 time: 0.9511 data_time: 0.0248 memory: 27783 loss: 0.2000 loss_text: 0.1378 loss_kernel: 0.0622 2022/11/02 03:50:10 - mmengine - INFO - Epoch(train) [342][35/63] lr: 1.0000e-05 eta: 10:43:57 time: 0.9321 data_time: 0.0197 memory: 27783 loss: 0.1798 loss_text: 0.1229 loss_kernel: 0.0569 2022/11/02 03:50:15 - mmengine - INFO - Epoch(train) [342][40/63] lr: 1.0000e-05 eta: 10:43:22 time: 0.9196 data_time: 0.0207 memory: 27783 loss: 0.1602 loss_text: 0.1085 loss_kernel: 0.0517 2022/11/02 03:50:19 - mmengine - INFO - Epoch(train) [342][45/63] lr: 1.0000e-05 eta: 10:43:22 time: 0.9479 data_time: 0.0193 memory: 27783 loss: 0.1982 loss_text: 0.1362 loss_kernel: 0.0620 2022/11/02 03:50:24 - mmengine - INFO - Epoch(train) [342][50/63] lr: 1.0000e-05 eta: 10:42:48 time: 0.9505 data_time: 0.0212 memory: 27783 loss: 0.2093 loss_text: 0.1444 loss_kernel: 0.0649 2022/11/02 03:50:29 - mmengine - INFO - Epoch(train) [342][55/63] lr: 1.0000e-05 eta: 10:42:48 time: 0.9614 data_time: 0.0211 memory: 27783 loss: 0.2039 loss_text: 0.1394 loss_kernel: 0.0645 2022/11/02 03:50:34 - mmengine - INFO - Epoch(train) [342][60/63] lr: 1.0000e-05 eta: 10:42:13 time: 0.9488 data_time: 0.0224 memory: 27783 loss: 0.2166 loss_text: 0.1475 loss_kernel: 0.0691 2022/11/02 03:50:36 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:52:16 - mmengine - INFO - Epoch(train) [343][5/63] lr: 1.0000e-05 eta: 10:42:13 time: 10.4112 data_time: 9.5311 memory: 27783 loss: 0.1842 loss_text: 0.1268 loss_kernel: 0.0574 2022/11/02 03:52:21 - mmengine - INFO - Epoch(train) [343][10/63] lr: 1.0000e-05 eta: 10:42:38 time: 10.4631 data_time: 9.5398 memory: 27783 loss: 0.1770 loss_text: 0.1207 loss_kernel: 0.0562 2022/11/02 03:52:25 - mmengine - INFO - Epoch(train) [343][15/63] lr: 1.0000e-05 eta: 10:42:38 time: 0.9501 data_time: 0.0221 memory: 27783 loss: 0.1918 loss_text: 0.1314 loss_kernel: 0.0604 2022/11/02 03:52:30 - mmengine - INFO - Epoch(train) [343][20/63] lr: 1.0000e-05 eta: 10:42:04 time: 0.9599 data_time: 0.0331 memory: 27783 loss: 0.2130 loss_text: 0.1481 loss_kernel: 0.0649 2022/11/02 03:52:35 - mmengine - INFO - Epoch(train) [343][25/63] lr: 1.0000e-05 eta: 10:42:04 time: 0.9534 data_time: 0.0384 memory: 27783 loss: 0.1950 loss_text: 0.1349 loss_kernel: 0.0602 2022/11/02 03:52:40 - mmengine - INFO - Epoch(train) [343][30/63] lr: 1.0000e-05 eta: 10:41:29 time: 0.9159 data_time: 0.0232 memory: 27783 loss: 0.2137 loss_text: 0.1464 loss_kernel: 0.0673 2022/11/02 03:52:44 - mmengine - INFO - Epoch(train) [343][35/63] lr: 1.0000e-05 eta: 10:41:29 time: 0.9251 data_time: 0.0295 memory: 27783 loss: 0.2371 loss_text: 0.1626 loss_kernel: 0.0745 2022/11/02 03:52:49 - mmengine - INFO - Epoch(train) [343][40/63] lr: 1.0000e-05 eta: 10:40:54 time: 0.9148 data_time: 0.0194 memory: 27783 loss: 0.2117 loss_text: 0.1441 loss_kernel: 0.0676 2022/11/02 03:52:53 - mmengine - INFO - Epoch(train) [343][45/63] lr: 1.0000e-05 eta: 10:40:54 time: 0.9153 data_time: 0.0194 memory: 27783 loss: 0.2194 loss_text: 0.1499 loss_kernel: 0.0695 2022/11/02 03:52:58 - mmengine - INFO - Epoch(train) [343][50/63] lr: 1.0000e-05 eta: 10:40:20 time: 0.9716 data_time: 0.0324 memory: 27783 loss: 0.2027 loss_text: 0.1389 loss_kernel: 0.0639 2022/11/02 03:53:03 - mmengine - INFO - Epoch(train) [343][55/63] lr: 1.0000e-05 eta: 10:40:20 time: 0.9897 data_time: 0.0245 memory: 27783 loss: 0.1869 loss_text: 0.1269 loss_kernel: 0.0601 2022/11/02 03:53:08 - mmengine - INFO - Epoch(train) [343][60/63] lr: 1.0000e-05 eta: 10:39:46 time: 0.9828 data_time: 0.0228 memory: 27783 loss: 0.2007 loss_text: 0.1363 loss_kernel: 0.0644 2022/11/02 03:53:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:54:50 - mmengine - INFO - Epoch(train) [344][5/63] lr: 1.0000e-05 eta: 10:39:46 time: 10.3888 data_time: 9.5130 memory: 27783 loss: 0.1928 loss_text: 0.1328 loss_kernel: 0.0601 2022/11/02 03:54:55 - mmengine - INFO - Epoch(train) [344][10/63] lr: 1.0000e-05 eta: 10:40:10 time: 10.4799 data_time: 9.5244 memory: 27783 loss: 0.1837 loss_text: 0.1273 loss_kernel: 0.0564 2022/11/02 03:55:00 - mmengine - INFO - Epoch(train) [344][15/63] lr: 1.0000e-05 eta: 10:40:10 time: 0.9759 data_time: 0.0243 memory: 27783 loss: 0.1903 loss_text: 0.1317 loss_kernel: 0.0586 2022/11/02 03:55:05 - mmengine - INFO - Epoch(train) [344][20/63] lr: 1.0000e-05 eta: 10:39:36 time: 0.9430 data_time: 0.0275 memory: 27783 loss: 0.1779 loss_text: 0.1219 loss_kernel: 0.0560 2022/11/02 03:55:09 - mmengine - INFO - Epoch(train) [344][25/63] lr: 1.0000e-05 eta: 10:39:36 time: 0.9279 data_time: 0.0242 memory: 27783 loss: 0.1570 loss_text: 0.1065 loss_kernel: 0.0504 2022/11/02 03:55:14 - mmengine - INFO - Epoch(train) [344][30/63] lr: 1.0000e-05 eta: 10:39:02 time: 0.9418 data_time: 0.0177 memory: 27783 loss: 0.1384 loss_text: 0.0928 loss_kernel: 0.0456 2022/11/02 03:55:19 - mmengine - INFO - Epoch(train) [344][35/63] lr: 1.0000e-05 eta: 10:39:02 time: 0.9472 data_time: 0.0277 memory: 27783 loss: 0.1754 loss_text: 0.1189 loss_kernel: 0.0565 2022/11/02 03:55:23 - mmengine - INFO - Epoch(train) [344][40/63] lr: 1.0000e-05 eta: 10:38:27 time: 0.9164 data_time: 0.0204 memory: 27783 loss: 0.2276 loss_text: 0.1566 loss_kernel: 0.0710 2022/11/02 03:55:29 - mmengine - INFO - Epoch(train) [344][45/63] lr: 1.0000e-05 eta: 10:38:27 time: 0.9733 data_time: 0.0219 memory: 27783 loss: 0.1968 loss_text: 0.1351 loss_kernel: 0.0616 2022/11/02 03:55:33 - mmengine - INFO - Epoch(train) [344][50/63] lr: 1.0000e-05 eta: 10:37:53 time: 0.9713 data_time: 0.0287 memory: 27783 loss: 0.1898 loss_text: 0.1307 loss_kernel: 0.0591 2022/11/02 03:55:38 - mmengine - INFO - Epoch(train) [344][55/63] lr: 1.0000e-05 eta: 10:37:53 time: 0.9284 data_time: 0.0186 memory: 27783 loss: 0.1953 loss_text: 0.1343 loss_kernel: 0.0610 2022/11/02 03:55:43 - mmengine - INFO - Epoch(train) [344][60/63] lr: 1.0000e-05 eta: 10:37:19 time: 0.9588 data_time: 0.0206 memory: 27783 loss: 0.2021 loss_text: 0.1386 loss_kernel: 0.0635 2022/11/02 03:55:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 03:57:25 - mmengine - INFO - Epoch(train) [345][5/63] lr: 1.0000e-05 eta: 10:37:19 time: 10.3965 data_time: 9.5439 memory: 27783 loss: 0.1682 loss_text: 0.1150 loss_kernel: 0.0532 2022/11/02 03:57:30 - mmengine - INFO - Epoch(train) [345][10/63] lr: 1.0000e-05 eta: 10:37:43 time: 10.4527 data_time: 9.5525 memory: 27783 loss: 0.1915 loss_text: 0.1323 loss_kernel: 0.0593 2022/11/02 03:57:34 - mmengine - INFO - Epoch(train) [345][15/63] lr: 1.0000e-05 eta: 10:37:43 time: 0.9283 data_time: 0.0230 memory: 27783 loss: 0.2182 loss_text: 0.1513 loss_kernel: 0.0668 2022/11/02 03:57:39 - mmengine - INFO - Epoch(train) [345][20/63] lr: 1.0000e-05 eta: 10:37:08 time: 0.9509 data_time: 0.0183 memory: 27783 loss: 0.1961 loss_text: 0.1344 loss_kernel: 0.0617 2022/11/02 03:57:44 - mmengine - INFO - Epoch(train) [345][25/63] lr: 1.0000e-05 eta: 10:37:08 time: 0.9556 data_time: 0.0259 memory: 27783 loss: 0.1890 loss_text: 0.1294 loss_kernel: 0.0596 2022/11/02 03:57:49 - mmengine - INFO - Epoch(train) [345][30/63] lr: 1.0000e-05 eta: 10:36:34 time: 0.9661 data_time: 0.0201 memory: 27783 loss: 0.2074 loss_text: 0.1431 loss_kernel: 0.0643 2022/11/02 03:57:54 - mmengine - INFO - Epoch(train) [345][35/63] lr: 1.0000e-05 eta: 10:36:34 time: 1.0234 data_time: 0.0252 memory: 27783 loss: 0.1807 loss_text: 0.1241 loss_kernel: 0.0566 2022/11/02 03:57:59 - mmengine - INFO - Epoch(train) [345][40/63] lr: 1.0000e-05 eta: 10:36:00 time: 1.0234 data_time: 0.0236 memory: 27783 loss: 0.2054 loss_text: 0.1407 loss_kernel: 0.0647 2022/11/02 03:58:04 - mmengine - INFO - Epoch(train) [345][45/63] lr: 1.0000e-05 eta: 10:36:00 time: 1.0027 data_time: 0.0181 memory: 27783 loss: 0.2128 loss_text: 0.1453 loss_kernel: 0.0675 2022/11/02 03:58:09 - mmengine - INFO - Epoch(train) [345][50/63] lr: 1.0000e-05 eta: 10:35:26 time: 0.9903 data_time: 0.0300 memory: 27783 loss: 0.1604 loss_text: 0.1096 loss_kernel: 0.0508 2022/11/02 03:58:13 - mmengine - INFO - Epoch(train) [345][55/63] lr: 1.0000e-05 eta: 10:35:26 time: 0.9384 data_time: 0.0216 memory: 27783 loss: 0.1916 loss_text: 0.1322 loss_kernel: 0.0594 2022/11/02 03:58:18 - mmengine - INFO - Epoch(train) [345][60/63] lr: 1.0000e-05 eta: 10:34:52 time: 0.9447 data_time: 0.0222 memory: 27783 loss: 0.2319 loss_text: 0.1593 loss_kernel: 0.0726 2022/11/02 03:58:20 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:00:00 - mmengine - INFO - Epoch(train) [346][5/63] lr: 1.0000e-05 eta: 10:34:52 time: 10.3666 data_time: 9.5086 memory: 27783 loss: 0.2202 loss_text: 0.1512 loss_kernel: 0.0690 2022/11/02 04:00:05 - mmengine - INFO - Epoch(train) [346][10/63] lr: 1.0000e-05 eta: 10:35:16 time: 10.4395 data_time: 9.5085 memory: 27783 loss: 0.1924 loss_text: 0.1318 loss_kernel: 0.0605 2022/11/02 04:00:10 - mmengine - INFO - Epoch(train) [346][15/63] lr: 1.0000e-05 eta: 10:35:16 time: 0.9814 data_time: 0.0189 memory: 27783 loss: 0.1721 loss_text: 0.1168 loss_kernel: 0.0553 2022/11/02 04:00:15 - mmengine - INFO - Epoch(train) [346][20/63] lr: 1.0000e-05 eta: 10:34:42 time: 0.9885 data_time: 0.0225 memory: 27783 loss: 0.1612 loss_text: 0.1085 loss_kernel: 0.0528 2022/11/02 04:00:20 - mmengine - INFO - Epoch(train) [346][25/63] lr: 1.0000e-05 eta: 10:34:42 time: 0.9627 data_time: 0.0218 memory: 27783 loss: 0.2129 loss_text: 0.1464 loss_kernel: 0.0665 2022/11/02 04:00:25 - mmengine - INFO - Epoch(train) [346][30/63] lr: 1.0000e-05 eta: 10:34:08 time: 0.9950 data_time: 0.0334 memory: 27783 loss: 0.2308 loss_text: 0.1605 loss_kernel: 0.0703 2022/11/02 04:00:30 - mmengine - INFO - Epoch(train) [346][35/63] lr: 1.0000e-05 eta: 10:34:08 time: 1.0244 data_time: 0.0316 memory: 27783 loss: 0.2073 loss_text: 0.1434 loss_kernel: 0.0638 2022/11/02 04:00:35 - mmengine - INFO - Epoch(train) [346][40/63] lr: 1.0000e-05 eta: 10:33:34 time: 0.9828 data_time: 0.0221 memory: 27783 loss: 0.1898 loss_text: 0.1296 loss_kernel: 0.0602 2022/11/02 04:00:39 - mmengine - INFO - Epoch(train) [346][45/63] lr: 1.0000e-05 eta: 10:33:34 time: 0.9311 data_time: 0.0368 memory: 27783 loss: 0.1793 loss_text: 0.1222 loss_kernel: 0.0572 2022/11/02 04:00:44 - mmengine - INFO - Epoch(train) [346][50/63] lr: 1.0000e-05 eta: 10:33:00 time: 0.9272 data_time: 0.0286 memory: 27783 loss: 0.1948 loss_text: 0.1336 loss_kernel: 0.0612 2022/11/02 04:00:49 - mmengine - INFO - Epoch(train) [346][55/63] lr: 1.0000e-05 eta: 10:33:00 time: 0.9502 data_time: 0.0198 memory: 27783 loss: 0.1830 loss_text: 0.1256 loss_kernel: 0.0574 2022/11/02 04:00:54 - mmengine - INFO - Epoch(train) [346][60/63] lr: 1.0000e-05 eta: 10:32:26 time: 0.9677 data_time: 0.0236 memory: 27783 loss: 0.1735 loss_text: 0.1182 loss_kernel: 0.0553 2022/11/02 04:00:56 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:02:35 - mmengine - INFO - Epoch(train) [347][5/63] lr: 1.0000e-05 eta: 10:32:26 time: 10.3642 data_time: 9.5330 memory: 27783 loss: 0.1657 loss_text: 0.1112 loss_kernel: 0.0545 2022/11/02 04:02:40 - mmengine - INFO - Epoch(train) [347][10/63] lr: 1.0000e-05 eta: 10:32:49 time: 10.4203 data_time: 9.5426 memory: 27783 loss: 0.1897 loss_text: 0.1291 loss_kernel: 0.0606 2022/11/02 04:02:45 - mmengine - INFO - Epoch(train) [347][15/63] lr: 1.0000e-05 eta: 10:32:49 time: 0.9193 data_time: 0.0231 memory: 27783 loss: 0.1808 loss_text: 0.1230 loss_kernel: 0.0578 2022/11/02 04:02:50 - mmengine - INFO - Epoch(train) [347][20/63] lr: 1.0000e-05 eta: 10:32:14 time: 0.9442 data_time: 0.0200 memory: 27783 loss: 0.1730 loss_text: 0.1175 loss_kernel: 0.0555 2022/11/02 04:02:55 - mmengine - INFO - Epoch(train) [347][25/63] lr: 1.0000e-05 eta: 10:32:14 time: 0.9912 data_time: 0.0322 memory: 27783 loss: 0.1639 loss_text: 0.1110 loss_kernel: 0.0529 2022/11/02 04:02:59 - mmengine - INFO - Epoch(train) [347][30/63] lr: 1.0000e-05 eta: 10:31:40 time: 0.9546 data_time: 0.0199 memory: 27783 loss: 0.1883 loss_text: 0.1287 loss_kernel: 0.0596 2022/11/02 04:03:04 - mmengine - INFO - Epoch(train) [347][35/63] lr: 1.0000e-05 eta: 10:31:40 time: 0.9494 data_time: 0.0209 memory: 27783 loss: 0.1994 loss_text: 0.1367 loss_kernel: 0.0627 2022/11/02 04:03:09 - mmengine - INFO - Epoch(train) [347][40/63] lr: 1.0000e-05 eta: 10:31:06 time: 0.9731 data_time: 0.0221 memory: 27783 loss: 0.2062 loss_text: 0.1417 loss_kernel: 0.0645 2022/11/02 04:03:13 - mmengine - INFO - Epoch(train) [347][45/63] lr: 1.0000e-05 eta: 10:31:06 time: 0.9387 data_time: 0.0195 memory: 27783 loss: 0.2027 loss_text: 0.1400 loss_kernel: 0.0627 2022/11/02 04:03:18 - mmengine - INFO - Epoch(train) [347][50/63] lr: 1.0000e-05 eta: 10:30:32 time: 0.9144 data_time: 0.0294 memory: 27783 loss: 0.1840 loss_text: 0.1266 loss_kernel: 0.0574 2022/11/02 04:03:23 - mmengine - INFO - Epoch(train) [347][55/63] lr: 1.0000e-05 eta: 10:30:32 time: 0.9165 data_time: 0.0176 memory: 27783 loss: 0.1969 loss_text: 0.1348 loss_kernel: 0.0621 2022/11/02 04:03:27 - mmengine - INFO - Epoch(train) [347][60/63] lr: 1.0000e-05 eta: 10:29:58 time: 0.9309 data_time: 0.0142 memory: 27783 loss: 0.2020 loss_text: 0.1379 loss_kernel: 0.0640 2022/11/02 04:03:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:05:10 - mmengine - INFO - Epoch(train) [348][5/63] lr: 1.0000e-05 eta: 10:29:58 time: 10.4536 data_time: 9.5860 memory: 27783 loss: 0.1892 loss_text: 0.1293 loss_kernel: 0.0599 2022/11/02 04:05:15 - mmengine - INFO - Epoch(train) [348][10/63] lr: 1.0000e-05 eta: 10:30:21 time: 10.5411 data_time: 9.6001 memory: 27783 loss: 0.1948 loss_text: 0.1330 loss_kernel: 0.0618 2022/11/02 04:05:20 - mmengine - INFO - Epoch(train) [348][15/63] lr: 1.0000e-05 eta: 10:30:21 time: 0.9694 data_time: 0.0422 memory: 27783 loss: 0.2144 loss_text: 0.1471 loss_kernel: 0.0673 2022/11/02 04:05:25 - mmengine - INFO - Epoch(train) [348][20/63] lr: 1.0000e-05 eta: 10:29:47 time: 0.9652 data_time: 0.0388 memory: 27783 loss: 0.2289 loss_text: 0.1571 loss_kernel: 0.0718 2022/11/02 04:05:29 - mmengine - INFO - Epoch(train) [348][25/63] lr: 1.0000e-05 eta: 10:29:47 time: 0.9501 data_time: 0.0254 memory: 27783 loss: 0.2093 loss_text: 0.1435 loss_kernel: 0.0658 2022/11/02 04:05:34 - mmengine - INFO - Epoch(train) [348][30/63] lr: 1.0000e-05 eta: 10:29:13 time: 0.9740 data_time: 0.0217 memory: 27783 loss: 0.2107 loss_text: 0.1443 loss_kernel: 0.0664 2022/11/02 04:05:39 - mmengine - INFO - Epoch(train) [348][35/63] lr: 1.0000e-05 eta: 10:29:13 time: 0.9803 data_time: 0.0275 memory: 27783 loss: 0.2007 loss_text: 0.1379 loss_kernel: 0.0628 2022/11/02 04:05:44 - mmengine - INFO - Epoch(train) [348][40/63] lr: 1.0000e-05 eta: 10:28:39 time: 0.9480 data_time: 0.0209 memory: 27783 loss: 0.1413 loss_text: 0.0965 loss_kernel: 0.0447 2022/11/02 04:05:49 - mmengine - INFO - Epoch(train) [348][45/63] lr: 1.0000e-05 eta: 10:28:39 time: 0.9893 data_time: 0.0326 memory: 27783 loss: 0.2006 loss_text: 0.1376 loss_kernel: 0.0630 2022/11/02 04:05:54 - mmengine - INFO - Epoch(train) [348][50/63] lr: 1.0000e-05 eta: 10:28:06 time: 1.0130 data_time: 0.0417 memory: 27783 loss: 0.2640 loss_text: 0.1820 loss_kernel: 0.0821 2022/11/02 04:05:59 - mmengine - INFO - Epoch(train) [348][55/63] lr: 1.0000e-05 eta: 10:28:06 time: 0.9660 data_time: 0.0197 memory: 27783 loss: 0.2302 loss_text: 0.1581 loss_kernel: 0.0721 2022/11/02 04:06:04 - mmengine - INFO - Epoch(train) [348][60/63] lr: 1.0000e-05 eta: 10:27:32 time: 0.9493 data_time: 0.0203 memory: 27783 loss: 0.1736 loss_text: 0.1189 loss_kernel: 0.0547 2022/11/02 04:06:06 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:07:46 - mmengine - INFO - Epoch(train) [349][5/63] lr: 1.0000e-05 eta: 10:27:32 time: 10.3926 data_time: 9.5071 memory: 27783 loss: 0.1804 loss_text: 0.1234 loss_kernel: 0.0570 2022/11/02 04:07:51 - mmengine - INFO - Epoch(train) [349][10/63] lr: 1.0000e-05 eta: 10:27:54 time: 10.4745 data_time: 9.5192 memory: 27783 loss: 0.1897 loss_text: 0.1296 loss_kernel: 0.0601 2022/11/02 04:07:55 - mmengine - INFO - Epoch(train) [349][15/63] lr: 1.0000e-05 eta: 10:27:54 time: 0.9619 data_time: 0.0257 memory: 27783 loss: 0.1989 loss_text: 0.1367 loss_kernel: 0.0622 2022/11/02 04:08:00 - mmengine - INFO - Epoch(train) [349][20/63] lr: 1.0000e-05 eta: 10:27:20 time: 0.9513 data_time: 0.0264 memory: 27783 loss: 0.2098 loss_text: 0.1440 loss_kernel: 0.0658 2022/11/02 04:08:05 - mmengine - INFO - Epoch(train) [349][25/63] lr: 1.0000e-05 eta: 10:27:20 time: 0.9553 data_time: 0.0326 memory: 27783 loss: 0.1894 loss_text: 0.1291 loss_kernel: 0.0604 2022/11/02 04:08:10 - mmengine - INFO - Epoch(train) [349][30/63] lr: 1.0000e-05 eta: 10:26:46 time: 0.9468 data_time: 0.0210 memory: 27783 loss: 0.2036 loss_text: 0.1404 loss_kernel: 0.0632 2022/11/02 04:08:14 - mmengine - INFO - Epoch(train) [349][35/63] lr: 1.0000e-05 eta: 10:26:46 time: 0.9461 data_time: 0.0216 memory: 27783 loss: 0.2210 loss_text: 0.1523 loss_kernel: 0.0687 2022/11/02 04:08:19 - mmengine - INFO - Epoch(train) [349][40/63] lr: 1.0000e-05 eta: 10:26:12 time: 0.9566 data_time: 0.0261 memory: 27783 loss: 0.2011 loss_text: 0.1373 loss_kernel: 0.0638 2022/11/02 04:08:24 - mmengine - INFO - Epoch(train) [349][45/63] lr: 1.0000e-05 eta: 10:26:12 time: 0.9517 data_time: 0.0256 memory: 27783 loss: 0.1786 loss_text: 0.1215 loss_kernel: 0.0571 2022/11/02 04:08:29 - mmengine - INFO - Epoch(train) [349][50/63] lr: 1.0000e-05 eta: 10:25:38 time: 0.9460 data_time: 0.0240 memory: 27783 loss: 0.1921 loss_text: 0.1311 loss_kernel: 0.0610 2022/11/02 04:08:34 - mmengine - INFO - Epoch(train) [349][55/63] lr: 1.0000e-05 eta: 10:25:38 time: 0.9759 data_time: 0.0208 memory: 27783 loss: 0.2066 loss_text: 0.1419 loss_kernel: 0.0647 2022/11/02 04:08:38 - mmengine - INFO - Epoch(train) [349][60/63] lr: 1.0000e-05 eta: 10:25:04 time: 0.9556 data_time: 0.0209 memory: 27783 loss: 0.2037 loss_text: 0.1398 loss_kernel: 0.0639 2022/11/02 04:08:41 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:10:21 - mmengine - INFO - Epoch(train) [350][5/63] lr: 1.0000e-05 eta: 10:25:04 time: 10.4533 data_time: 9.5725 memory: 27783 loss: 0.1300 loss_text: 0.0878 loss_kernel: 0.0422 2022/11/02 04:10:26 - mmengine - INFO - Epoch(train) [350][10/63] lr: 1.0000e-05 eta: 10:25:27 time: 10.5280 data_time: 9.5926 memory: 27783 loss: 0.1506 loss_text: 0.1025 loss_kernel: 0.0480 2022/11/02 04:10:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:10:31 - mmengine - INFO - Epoch(train) [350][15/63] lr: 1.0000e-05 eta: 10:25:27 time: 0.9788 data_time: 0.0292 memory: 27783 loss: 0.1694 loss_text: 0.1152 loss_kernel: 0.0542 2022/11/02 04:10:35 - mmengine - INFO - Epoch(train) [350][20/63] lr: 1.0000e-05 eta: 10:24:53 time: 0.9364 data_time: 0.0179 memory: 27783 loss: 0.1851 loss_text: 0.1264 loss_kernel: 0.0587 2022/11/02 04:10:41 - mmengine - INFO - Epoch(train) [350][25/63] lr: 1.0000e-05 eta: 10:24:53 time: 0.9718 data_time: 0.0334 memory: 27783 loss: 0.2058 loss_text: 0.1419 loss_kernel: 0.0639 2022/11/02 04:10:45 - mmengine - INFO - Epoch(train) [350][30/63] lr: 1.0000e-05 eta: 10:24:19 time: 0.9857 data_time: 0.0220 memory: 27783 loss: 0.1955 loss_text: 0.1347 loss_kernel: 0.0608 2022/11/02 04:10:50 - mmengine - INFO - Epoch(train) [350][35/63] lr: 1.0000e-05 eta: 10:24:19 time: 0.9776 data_time: 0.0239 memory: 27783 loss: 0.1996 loss_text: 0.1366 loss_kernel: 0.0630 2022/11/02 04:10:55 - mmengine - INFO - Epoch(train) [350][40/63] lr: 1.0000e-05 eta: 10:23:45 time: 0.9786 data_time: 0.0235 memory: 27783 loss: 0.2085 loss_text: 0.1436 loss_kernel: 0.0649 2022/11/02 04:11:00 - mmengine - INFO - Epoch(train) [350][45/63] lr: 1.0000e-05 eta: 10:23:45 time: 0.9449 data_time: 0.0153 memory: 27783 loss: 0.1861 loss_text: 0.1285 loss_kernel: 0.0576 2022/11/02 04:11:05 - mmengine - INFO - Epoch(train) [350][50/63] lr: 1.0000e-05 eta: 10:23:12 time: 0.9722 data_time: 0.0376 memory: 27783 loss: 0.1474 loss_text: 0.1005 loss_kernel: 0.0468 2022/11/02 04:11:09 - mmengine - INFO - Epoch(train) [350][55/63] lr: 1.0000e-05 eta: 10:23:12 time: 0.9449 data_time: 0.0299 memory: 27783 loss: 0.1952 loss_text: 0.1330 loss_kernel: 0.0622 2022/11/02 04:11:14 - mmengine - INFO - Epoch(train) [350][60/63] lr: 1.0000e-05 eta: 10:22:37 time: 0.9047 data_time: 0.0200 memory: 27783 loss: 0.2407 loss_text: 0.1650 loss_kernel: 0.0757 2022/11/02 04:11:16 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:12:56 - mmengine - INFO - Epoch(train) [351][5/63] lr: 1.0000e-05 eta: 10:22:37 time: 10.3961 data_time: 9.5097 memory: 27783 loss: 0.1857 loss_text: 0.1275 loss_kernel: 0.0583 2022/11/02 04:13:01 - mmengine - INFO - Epoch(train) [351][10/63] lr: 1.0000e-05 eta: 10:22:59 time: 10.4388 data_time: 9.5130 memory: 27783 loss: 0.1705 loss_text: 0.1168 loss_kernel: 0.0537 2022/11/02 04:13:05 - mmengine - INFO - Epoch(train) [351][15/63] lr: 1.0000e-05 eta: 10:22:59 time: 0.9192 data_time: 0.0240 memory: 27783 loss: 0.1741 loss_text: 0.1196 loss_kernel: 0.0545 2022/11/02 04:13:10 - mmengine - INFO - Epoch(train) [351][20/63] lr: 1.0000e-05 eta: 10:22:25 time: 0.9401 data_time: 0.0373 memory: 27783 loss: 0.1947 loss_text: 0.1335 loss_kernel: 0.0612 2022/11/02 04:13:15 - mmengine - INFO - Epoch(train) [351][25/63] lr: 1.0000e-05 eta: 10:22:25 time: 0.9490 data_time: 0.0265 memory: 27783 loss: 0.1957 loss_text: 0.1341 loss_kernel: 0.0616 2022/11/02 04:13:20 - mmengine - INFO - Epoch(train) [351][30/63] lr: 1.0000e-05 eta: 10:21:51 time: 0.9469 data_time: 0.0187 memory: 27783 loss: 0.1910 loss_text: 0.1307 loss_kernel: 0.0603 2022/11/02 04:13:24 - mmengine - INFO - Epoch(train) [351][35/63] lr: 1.0000e-05 eta: 10:21:51 time: 0.9461 data_time: 0.0262 memory: 27783 loss: 0.1906 loss_text: 0.1301 loss_kernel: 0.0605 2022/11/02 04:13:29 - mmengine - INFO - Epoch(train) [351][40/63] lr: 1.0000e-05 eta: 10:21:17 time: 0.9182 data_time: 0.0183 memory: 27783 loss: 0.1695 loss_text: 0.1150 loss_kernel: 0.0544 2022/11/02 04:13:34 - mmengine - INFO - Epoch(train) [351][45/63] lr: 1.0000e-05 eta: 10:21:17 time: 0.9270 data_time: 0.0204 memory: 27783 loss: 0.1880 loss_text: 0.1285 loss_kernel: 0.0596 2022/11/02 04:13:38 - mmengine - INFO - Epoch(train) [351][50/63] lr: 1.0000e-05 eta: 10:20:43 time: 0.9324 data_time: 0.0235 memory: 27783 loss: 0.1917 loss_text: 0.1320 loss_kernel: 0.0597 2022/11/02 04:13:43 - mmengine - INFO - Epoch(train) [351][55/63] lr: 1.0000e-05 eta: 10:20:43 time: 0.8996 data_time: 0.0207 memory: 27783 loss: 0.1848 loss_text: 0.1265 loss_kernel: 0.0583 2022/11/02 04:13:47 - mmengine - INFO - Epoch(train) [351][60/63] lr: 1.0000e-05 eta: 10:20:09 time: 0.9012 data_time: 0.0247 memory: 27783 loss: 0.2107 loss_text: 0.1449 loss_kernel: 0.0658 2022/11/02 04:13:49 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:15:30 - mmengine - INFO - Epoch(train) [352][5/63] lr: 1.0000e-05 eta: 10:20:09 time: 10.4658 data_time: 9.6021 memory: 27783 loss: 0.1646 loss_text: 0.1122 loss_kernel: 0.0525 2022/11/02 04:15:35 - mmengine - INFO - Epoch(train) [352][10/63] lr: 1.0000e-05 eta: 10:20:31 time: 10.5169 data_time: 9.6169 memory: 27783 loss: 0.1668 loss_text: 0.1137 loss_kernel: 0.0531 2022/11/02 04:15:39 - mmengine - INFO - Epoch(train) [352][15/63] lr: 1.0000e-05 eta: 10:20:31 time: 0.9042 data_time: 0.0305 memory: 27783 loss: 0.2022 loss_text: 0.1382 loss_kernel: 0.0640 2022/11/02 04:15:44 - mmengine - INFO - Epoch(train) [352][20/63] lr: 1.0000e-05 eta: 10:19:57 time: 0.9418 data_time: 0.0239 memory: 27783 loss: 0.2141 loss_text: 0.1463 loss_kernel: 0.0678 2022/11/02 04:15:49 - mmengine - INFO - Epoch(train) [352][25/63] lr: 1.0000e-05 eta: 10:19:57 time: 1.0230 data_time: 0.0345 memory: 27783 loss: 0.1878 loss_text: 0.1290 loss_kernel: 0.0588 2022/11/02 04:15:54 - mmengine - INFO - Epoch(train) [352][30/63] lr: 1.0000e-05 eta: 10:19:23 time: 0.9783 data_time: 0.0215 memory: 27783 loss: 0.1678 loss_text: 0.1149 loss_kernel: 0.0529 2022/11/02 04:15:59 - mmengine - INFO - Epoch(train) [352][35/63] lr: 1.0000e-05 eta: 10:19:23 time: 0.9242 data_time: 0.0161 memory: 27783 loss: 0.1684 loss_text: 0.1155 loss_kernel: 0.0529 2022/11/02 04:16:03 - mmengine - INFO - Epoch(train) [352][40/63] lr: 1.0000e-05 eta: 10:18:49 time: 0.9295 data_time: 0.0210 memory: 27783 loss: 0.1920 loss_text: 0.1323 loss_kernel: 0.0597 2022/11/02 04:16:08 - mmengine - INFO - Epoch(train) [352][45/63] lr: 1.0000e-05 eta: 10:18:49 time: 0.9415 data_time: 0.0208 memory: 27783 loss: 0.1632 loss_text: 0.1114 loss_kernel: 0.0518 2022/11/02 04:16:13 - mmengine - INFO - Epoch(train) [352][50/63] lr: 1.0000e-05 eta: 10:18:16 time: 0.9644 data_time: 0.0259 memory: 27783 loss: 0.1733 loss_text: 0.1183 loss_kernel: 0.0549 2022/11/02 04:16:18 - mmengine - INFO - Epoch(train) [352][55/63] lr: 1.0000e-05 eta: 10:18:16 time: 0.9562 data_time: 0.0213 memory: 27783 loss: 0.1979 loss_text: 0.1352 loss_kernel: 0.0627 2022/11/02 04:16:22 - mmengine - INFO - Epoch(train) [352][60/63] lr: 1.0000e-05 eta: 10:17:42 time: 0.9116 data_time: 0.0177 memory: 27783 loss: 0.1640 loss_text: 0.1117 loss_kernel: 0.0522 2022/11/02 04:16:24 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:18:04 - mmengine - INFO - Epoch(train) [353][5/63] lr: 1.0000e-05 eta: 10:17:42 time: 10.3723 data_time: 9.4968 memory: 27783 loss: 0.2001 loss_text: 0.1374 loss_kernel: 0.0627 2022/11/02 04:18:09 - mmengine - INFO - Epoch(train) [353][10/63] lr: 1.0000e-05 eta: 10:18:03 time: 10.4293 data_time: 9.5172 memory: 27783 loss: 0.2092 loss_text: 0.1436 loss_kernel: 0.0656 2022/11/02 04:18:13 - mmengine - INFO - Epoch(train) [353][15/63] lr: 1.0000e-05 eta: 10:18:03 time: 0.9294 data_time: 0.0320 memory: 27783 loss: 0.1848 loss_text: 0.1268 loss_kernel: 0.0580 2022/11/02 04:18:18 - mmengine - INFO - Epoch(train) [353][20/63] lr: 1.0000e-05 eta: 10:17:29 time: 0.9216 data_time: 0.0217 memory: 27783 loss: 0.1600 loss_text: 0.1090 loss_kernel: 0.0510 2022/11/02 04:18:23 - mmengine - INFO - Epoch(train) [353][25/63] lr: 1.0000e-05 eta: 10:17:29 time: 0.9747 data_time: 0.0263 memory: 27783 loss: 0.1931 loss_text: 0.1313 loss_kernel: 0.0618 2022/11/02 04:18:28 - mmengine - INFO - Epoch(train) [353][30/63] lr: 1.0000e-05 eta: 10:16:55 time: 1.0096 data_time: 0.0196 memory: 27783 loss: 0.2326 loss_text: 0.1595 loss_kernel: 0.0731 2022/11/02 04:18:33 - mmengine - INFO - Epoch(train) [353][35/63] lr: 1.0000e-05 eta: 10:16:55 time: 1.0069 data_time: 0.0184 memory: 27783 loss: 0.2053 loss_text: 0.1408 loss_kernel: 0.0645 2022/11/02 04:18:38 - mmengine - INFO - Epoch(train) [353][40/63] lr: 1.0000e-05 eta: 10:16:22 time: 0.9633 data_time: 0.0191 memory: 27783 loss: 0.1792 loss_text: 0.1234 loss_kernel: 0.0558 2022/11/02 04:18:43 - mmengine - INFO - Epoch(train) [353][45/63] lr: 1.0000e-05 eta: 10:16:22 time: 0.9385 data_time: 0.0228 memory: 27783 loss: 0.1863 loss_text: 0.1278 loss_kernel: 0.0585 2022/11/02 04:18:47 - mmengine - INFO - Epoch(train) [353][50/63] lr: 1.0000e-05 eta: 10:15:48 time: 0.9531 data_time: 0.0297 memory: 27783 loss: 0.1863 loss_text: 0.1270 loss_kernel: 0.0594 2022/11/02 04:18:52 - mmengine - INFO - Epoch(train) [353][55/63] lr: 1.0000e-05 eta: 10:15:48 time: 0.9236 data_time: 0.0195 memory: 27783 loss: 0.1488 loss_text: 0.1011 loss_kernel: 0.0477 2022/11/02 04:18:56 - mmengine - INFO - Epoch(train) [353][60/63] lr: 1.0000e-05 eta: 10:15:14 time: 0.9055 data_time: 0.0191 memory: 27783 loss: 0.1699 loss_text: 0.1166 loss_kernel: 0.0532 2022/11/02 04:18:59 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:20:39 - mmengine - INFO - Epoch(train) [354][5/63] lr: 1.0000e-05 eta: 10:15:14 time: 10.4407 data_time: 9.5940 memory: 27783 loss: 0.1743 loss_text: 0.1185 loss_kernel: 0.0558 2022/11/02 04:20:45 - mmengine - INFO - Epoch(train) [354][10/63] lr: 1.0000e-05 eta: 10:15:36 time: 10.5824 data_time: 9.6080 memory: 27783 loss: 0.1941 loss_text: 0.1326 loss_kernel: 0.0615 2022/11/02 04:20:50 - mmengine - INFO - Epoch(train) [354][15/63] lr: 1.0000e-05 eta: 10:15:36 time: 1.0468 data_time: 0.0270 memory: 27783 loss: 0.2071 loss_text: 0.1418 loss_kernel: 0.0653 2022/11/02 04:20:54 - mmengine - INFO - Epoch(train) [354][20/63] lr: 1.0000e-05 eta: 10:15:02 time: 0.9842 data_time: 0.0169 memory: 27783 loss: 0.2371 loss_text: 0.1632 loss_kernel: 0.0739 2022/11/02 04:20:59 - mmengine - INFO - Epoch(train) [354][25/63] lr: 1.0000e-05 eta: 10:15:02 time: 0.9554 data_time: 0.0272 memory: 27783 loss: 0.2436 loss_text: 0.1676 loss_kernel: 0.0760 2022/11/02 04:21:04 - mmengine - INFO - Epoch(train) [354][30/63] lr: 1.0000e-05 eta: 10:14:28 time: 0.9329 data_time: 0.0215 memory: 27783 loss: 0.2056 loss_text: 0.1401 loss_kernel: 0.0655 2022/11/02 04:21:09 - mmengine - INFO - Epoch(train) [354][35/63] lr: 1.0000e-05 eta: 10:14:28 time: 0.9617 data_time: 0.0230 memory: 27783 loss: 0.1922 loss_text: 0.1308 loss_kernel: 0.0614 2022/11/02 04:21:13 - mmengine - INFO - Epoch(train) [354][40/63] lr: 1.0000e-05 eta: 10:13:55 time: 0.9745 data_time: 0.0218 memory: 27783 loss: 0.1897 loss_text: 0.1292 loss_kernel: 0.0605 2022/11/02 04:21:18 - mmengine - INFO - Epoch(train) [354][45/63] lr: 1.0000e-05 eta: 10:13:55 time: 0.9616 data_time: 0.0206 memory: 27783 loss: 0.1920 loss_text: 0.1311 loss_kernel: 0.0609 2022/11/02 04:21:23 - mmengine - INFO - Epoch(train) [354][50/63] lr: 1.0000e-05 eta: 10:13:21 time: 0.9801 data_time: 0.0312 memory: 27783 loss: 0.1981 loss_text: 0.1359 loss_kernel: 0.0621 2022/11/02 04:21:28 - mmengine - INFO - Epoch(train) [354][55/63] lr: 1.0000e-05 eta: 10:13:21 time: 0.9700 data_time: 0.0225 memory: 27783 loss: 0.2015 loss_text: 0.1390 loss_kernel: 0.0625 2022/11/02 04:21:33 - mmengine - INFO - Epoch(train) [354][60/63] lr: 1.0000e-05 eta: 10:12:48 time: 0.9238 data_time: 0.0173 memory: 27783 loss: 0.1969 loss_text: 0.1352 loss_kernel: 0.0617 2022/11/02 04:21:35 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:23:14 - mmengine - INFO - Epoch(train) [355][5/63] lr: 1.0000e-05 eta: 10:12:48 time: 10.3571 data_time: 9.4882 memory: 27783 loss: 0.1805 loss_text: 0.1233 loss_kernel: 0.0572 2022/11/02 04:23:19 - mmengine - INFO - Epoch(train) [355][10/63] lr: 1.0000e-05 eta: 10:13:08 time: 10.4032 data_time: 9.4888 memory: 27783 loss: 0.1935 loss_text: 0.1317 loss_kernel: 0.0618 2022/11/02 04:23:24 - mmengine - INFO - Epoch(train) [355][15/63] lr: 1.0000e-05 eta: 10:13:08 time: 0.9352 data_time: 0.0233 memory: 27783 loss: 0.2064 loss_text: 0.1411 loss_kernel: 0.0654 2022/11/02 04:23:29 - mmengine - INFO - Epoch(train) [355][20/63] lr: 1.0000e-05 eta: 10:12:34 time: 0.9809 data_time: 0.0492 memory: 27783 loss: 0.1913 loss_text: 0.1313 loss_kernel: 0.0600 2022/11/02 04:23:33 - mmengine - INFO - Epoch(train) [355][25/63] lr: 1.0000e-05 eta: 10:12:34 time: 0.9636 data_time: 0.0403 memory: 27783 loss: 0.1508 loss_text: 0.1030 loss_kernel: 0.0478 2022/11/02 04:23:38 - mmengine - INFO - Epoch(train) [355][30/63] lr: 1.0000e-05 eta: 10:12:00 time: 0.9161 data_time: 0.0227 memory: 27783 loss: 0.1784 loss_text: 0.1214 loss_kernel: 0.0570 2022/11/02 04:23:43 - mmengine - INFO - Epoch(train) [355][35/63] lr: 1.0000e-05 eta: 10:12:00 time: 0.9051 data_time: 0.0279 memory: 27783 loss: 0.2045 loss_text: 0.1394 loss_kernel: 0.0650 2022/11/02 04:23:47 - mmengine - INFO - Epoch(train) [355][40/63] lr: 1.0000e-05 eta: 10:11:27 time: 0.9513 data_time: 0.0202 memory: 27783 loss: 0.1921 loss_text: 0.1312 loss_kernel: 0.0610 2022/11/02 04:23:53 - mmengine - INFO - Epoch(train) [355][45/63] lr: 1.0000e-05 eta: 10:11:27 time: 0.9989 data_time: 0.0283 memory: 27783 loss: 0.1874 loss_text: 0.1286 loss_kernel: 0.0588 2022/11/02 04:23:57 - mmengine - INFO - Epoch(train) [355][50/63] lr: 1.0000e-05 eta: 10:10:53 time: 0.9623 data_time: 0.0322 memory: 27783 loss: 0.1656 loss_text: 0.1132 loss_kernel: 0.0524 2022/11/02 04:24:02 - mmengine - INFO - Epoch(train) [355][55/63] lr: 1.0000e-05 eta: 10:10:53 time: 0.9323 data_time: 0.0239 memory: 27783 loss: 0.1753 loss_text: 0.1197 loss_kernel: 0.0556 2022/11/02 04:24:07 - mmengine - INFO - Epoch(train) [355][60/63] lr: 1.0000e-05 eta: 10:10:20 time: 0.9808 data_time: 0.0208 memory: 27783 loss: 0.1873 loss_text: 0.1284 loss_kernel: 0.0589 2022/11/02 04:24:10 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:25:50 - mmengine - INFO - Epoch(train) [356][5/63] lr: 1.0000e-05 eta: 10:10:20 time: 10.5013 data_time: 9.5860 memory: 27783 loss: 0.1787 loss_text: 0.1215 loss_kernel: 0.0572 2022/11/02 04:25:55 - mmengine - INFO - Epoch(train) [356][10/63] lr: 1.0000e-05 eta: 10:10:40 time: 10.4901 data_time: 9.5895 memory: 27783 loss: 0.1885 loss_text: 0.1276 loss_kernel: 0.0609 2022/11/02 04:25:59 - mmengine - INFO - Epoch(train) [356][15/63] lr: 1.0000e-05 eta: 10:10:40 time: 0.9093 data_time: 0.0215 memory: 27783 loss: 0.2021 loss_text: 0.1378 loss_kernel: 0.0643 2022/11/02 04:26:05 - mmengine - INFO - Epoch(train) [356][20/63] lr: 1.0000e-05 eta: 10:10:07 time: 1.0210 data_time: 0.0578 memory: 27783 loss: 0.1983 loss_text: 0.1368 loss_kernel: 0.0614 2022/11/02 04:26:09 - mmengine - INFO - Epoch(train) [356][25/63] lr: 1.0000e-05 eta: 10:10:07 time: 1.0386 data_time: 0.0572 memory: 27783 loss: 0.1783 loss_text: 0.1228 loss_kernel: 0.0556 2022/11/02 04:26:14 - mmengine - INFO - Epoch(train) [356][30/63] lr: 1.0000e-05 eta: 10:09:34 time: 0.9541 data_time: 0.0438 memory: 27783 loss: 0.1580 loss_text: 0.1077 loss_kernel: 0.0502 2022/11/02 04:26:19 - mmengine - INFO - Epoch(train) [356][35/63] lr: 1.0000e-05 eta: 10:09:34 time: 0.9821 data_time: 0.0503 memory: 27783 loss: 0.1893 loss_text: 0.1303 loss_kernel: 0.0591 2022/11/02 04:26:24 - mmengine - INFO - Epoch(train) [356][40/63] lr: 1.0000e-05 eta: 10:09:00 time: 0.9789 data_time: 0.0387 memory: 27783 loss: 0.2088 loss_text: 0.1436 loss_kernel: 0.0653 2022/11/02 04:26:29 - mmengine - INFO - Epoch(train) [356][45/63] lr: 1.0000e-05 eta: 10:09:00 time: 0.9398 data_time: 0.0359 memory: 27783 loss: 0.1805 loss_text: 0.1239 loss_kernel: 0.0566 2022/11/02 04:26:34 - mmengine - INFO - Epoch(train) [356][50/63] lr: 1.0000e-05 eta: 10:08:27 time: 0.9507 data_time: 0.0269 memory: 27783 loss: 0.1762 loss_text: 0.1208 loss_kernel: 0.0554 2022/11/02 04:26:38 - mmengine - INFO - Epoch(train) [356][55/63] lr: 1.0000e-05 eta: 10:08:27 time: 0.9457 data_time: 0.0231 memory: 27783 loss: 0.1889 loss_text: 0.1285 loss_kernel: 0.0604 2022/11/02 04:26:43 - mmengine - INFO - Epoch(train) [356][60/63] lr: 1.0000e-05 eta: 10:07:53 time: 0.9140 data_time: 0.0209 memory: 27783 loss: 0.2110 loss_text: 0.1443 loss_kernel: 0.0667 2022/11/02 04:26:45 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:28:25 - mmengine - INFO - Epoch(train) [357][5/63] lr: 1.0000e-05 eta: 10:07:53 time: 10.3992 data_time: 9.5392 memory: 27783 loss: 0.1897 loss_text: 0.1305 loss_kernel: 0.0592 2022/11/02 04:28:30 - mmengine - INFO - Epoch(train) [357][10/63] lr: 1.0000e-05 eta: 10:08:13 time: 10.4421 data_time: 9.5473 memory: 27783 loss: 0.1984 loss_text: 0.1364 loss_kernel: 0.0620 2022/11/02 04:28:34 - mmengine - INFO - Epoch(train) [357][15/63] lr: 1.0000e-05 eta: 10:08:13 time: 0.9391 data_time: 0.0212 memory: 27783 loss: 0.1779 loss_text: 0.1212 loss_kernel: 0.0567 2022/11/02 04:28:39 - mmengine - INFO - Epoch(train) [357][20/63] lr: 1.0000e-05 eta: 10:07:39 time: 0.9515 data_time: 0.0231 memory: 27783 loss: 0.1910 loss_text: 0.1307 loss_kernel: 0.0603 2022/11/02 04:28:44 - mmengine - INFO - Epoch(train) [357][25/63] lr: 1.0000e-05 eta: 10:07:39 time: 0.9501 data_time: 0.0223 memory: 27783 loss: 0.1988 loss_text: 0.1357 loss_kernel: 0.0631 2022/11/02 04:28:48 - mmengine - INFO - Epoch(train) [357][30/63] lr: 1.0000e-05 eta: 10:07:05 time: 0.9393 data_time: 0.0194 memory: 27783 loss: 0.2080 loss_text: 0.1428 loss_kernel: 0.0651 2022/11/02 04:28:53 - mmengine - INFO - Epoch(train) [357][35/63] lr: 1.0000e-05 eta: 10:07:05 time: 0.9474 data_time: 0.0280 memory: 27783 loss: 0.1932 loss_text: 0.1326 loss_kernel: 0.0607 2022/11/02 04:28:58 - mmengine - INFO - Epoch(train) [357][40/63] lr: 1.0000e-05 eta: 10:06:32 time: 0.9467 data_time: 0.0189 memory: 27783 loss: 0.2067 loss_text: 0.1423 loss_kernel: 0.0643 2022/11/02 04:29:03 - mmengine - INFO - Epoch(train) [357][45/63] lr: 1.0000e-05 eta: 10:06:32 time: 0.9505 data_time: 0.0248 memory: 27783 loss: 0.2002 loss_text: 0.1382 loss_kernel: 0.0620 2022/11/02 04:29:07 - mmengine - INFO - Epoch(train) [357][50/63] lr: 1.0000e-05 eta: 10:05:59 time: 0.9452 data_time: 0.0338 memory: 27783 loss: 0.1589 loss_text: 0.1079 loss_kernel: 0.0510 2022/11/02 04:29:12 - mmengine - INFO - Epoch(train) [357][55/63] lr: 1.0000e-05 eta: 10:05:59 time: 0.8748 data_time: 0.0166 memory: 27783 loss: 0.1651 loss_text: 0.1115 loss_kernel: 0.0535 2022/11/02 04:29:16 - mmengine - INFO - Epoch(train) [357][60/63] lr: 1.0000e-05 eta: 10:05:24 time: 0.8497 data_time: 0.0128 memory: 27783 loss: 0.2198 loss_text: 0.1503 loss_kernel: 0.0695 2022/11/02 04:29:18 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:30:59 - mmengine - INFO - Epoch(train) [358][5/63] lr: 1.0000e-05 eta: 10:05:24 time: 10.4570 data_time: 9.5924 memory: 27783 loss: 0.2059 loss_text: 0.1424 loss_kernel: 0.0636 2022/11/02 04:31:03 - mmengine - INFO - Epoch(train) [358][10/63] lr: 1.0000e-05 eta: 10:05:44 time: 10.5351 data_time: 9.5982 memory: 27783 loss: 0.2251 loss_text: 0.1543 loss_kernel: 0.0708 2022/11/02 04:31:08 - mmengine - INFO - Epoch(train) [358][15/63] lr: 1.0000e-05 eta: 10:05:44 time: 0.9292 data_time: 0.0179 memory: 27783 loss: 0.2428 loss_text: 0.1674 loss_kernel: 0.0753 2022/11/02 04:31:13 - mmengine - INFO - Epoch(train) [358][20/63] lr: 1.0000e-05 eta: 10:05:11 time: 0.9448 data_time: 0.0290 memory: 27783 loss: 0.2060 loss_text: 0.1410 loss_kernel: 0.0649 2022/11/02 04:31:18 - mmengine - INFO - Epoch(train) [358][25/63] lr: 1.0000e-05 eta: 10:05:11 time: 0.9351 data_time: 0.0247 memory: 27783 loss: 0.1806 loss_text: 0.1249 loss_kernel: 0.0557 2022/11/02 04:31:22 - mmengine - INFO - Epoch(train) [358][30/63] lr: 1.0000e-05 eta: 10:04:37 time: 0.9504 data_time: 0.0206 memory: 27783 loss: 0.1834 loss_text: 0.1273 loss_kernel: 0.0562 2022/11/02 04:31:28 - mmengine - INFO - Epoch(train) [358][35/63] lr: 1.0000e-05 eta: 10:04:37 time: 1.0091 data_time: 0.0312 memory: 27783 loss: 0.1800 loss_text: 0.1230 loss_kernel: 0.0570 2022/11/02 04:31:32 - mmengine - INFO - Epoch(train) [358][40/63] lr: 1.0000e-05 eta: 10:04:04 time: 0.9990 data_time: 0.0213 memory: 27783 loss: 0.1853 loss_text: 0.1266 loss_kernel: 0.0587 2022/11/02 04:31:37 - mmengine - INFO - Epoch(train) [358][45/63] lr: 1.0000e-05 eta: 10:04:04 time: 0.9556 data_time: 0.0190 memory: 27783 loss: 0.2081 loss_text: 0.1424 loss_kernel: 0.0657 2022/11/02 04:31:42 - mmengine - INFO - Epoch(train) [358][50/63] lr: 1.0000e-05 eta: 10:03:31 time: 0.9787 data_time: 0.0238 memory: 27783 loss: 0.1990 loss_text: 0.1363 loss_kernel: 0.0627 2022/11/02 04:31:47 - mmengine - INFO - Epoch(train) [358][55/63] lr: 1.0000e-05 eta: 10:03:31 time: 0.9666 data_time: 0.0183 memory: 27783 loss: 0.1939 loss_text: 0.1330 loss_kernel: 0.0609 2022/11/02 04:31:51 - mmengine - INFO - Epoch(train) [358][60/63] lr: 1.0000e-05 eta: 10:02:58 time: 0.9204 data_time: 0.0184 memory: 27783 loss: 0.2079 loss_text: 0.1427 loss_kernel: 0.0652 2022/11/02 04:31:54 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:33:34 - mmengine - INFO - Epoch(train) [359][5/63] lr: 1.0000e-05 eta: 10:02:58 time: 10.3918 data_time: 9.5230 memory: 27783 loss: 0.2045 loss_text: 0.1399 loss_kernel: 0.0646 2022/11/02 04:33:38 - mmengine - INFO - Epoch(train) [359][10/63] lr: 1.0000e-05 eta: 10:03:16 time: 10.4481 data_time: 9.5421 memory: 27783 loss: 0.2492 loss_text: 0.1710 loss_kernel: 0.0782 2022/11/02 04:33:43 - mmengine - INFO - Epoch(train) [359][15/63] lr: 1.0000e-05 eta: 10:03:16 time: 0.9623 data_time: 0.0307 memory: 27783 loss: 0.2164 loss_text: 0.1487 loss_kernel: 0.0676 2022/11/02 04:33:48 - mmengine - INFO - Epoch(train) [359][20/63] lr: 1.0000e-05 eta: 10:02:43 time: 0.9902 data_time: 0.0231 memory: 27783 loss: 0.1815 loss_text: 0.1244 loss_kernel: 0.0571 2022/11/02 04:33:53 - mmengine - INFO - Epoch(train) [359][25/63] lr: 1.0000e-05 eta: 10:02:43 time: 0.9643 data_time: 0.0300 memory: 27783 loss: 0.2098 loss_text: 0.1439 loss_kernel: 0.0659 2022/11/02 04:33:57 - mmengine - INFO - Epoch(train) [359][30/63] lr: 1.0000e-05 eta: 10:02:10 time: 0.9247 data_time: 0.0167 memory: 27783 loss: 0.2264 loss_text: 0.1558 loss_kernel: 0.0706 2022/11/02 04:34:02 - mmengine - INFO - Epoch(train) [359][35/63] lr: 1.0000e-05 eta: 10:02:10 time: 0.9231 data_time: 0.0171 memory: 27783 loss: 0.2041 loss_text: 0.1400 loss_kernel: 0.0640 2022/11/02 04:34:07 - mmengine - INFO - Epoch(train) [359][40/63] lr: 1.0000e-05 eta: 10:01:36 time: 0.9367 data_time: 0.0181 memory: 27783 loss: 0.2124 loss_text: 0.1453 loss_kernel: 0.0671 2022/11/02 04:34:12 - mmengine - INFO - Epoch(train) [359][45/63] lr: 1.0000e-05 eta: 10:01:36 time: 1.0056 data_time: 0.0179 memory: 27783 loss: 0.2039 loss_text: 0.1392 loss_kernel: 0.0647 2022/11/02 04:34:17 - mmengine - INFO - Epoch(train) [359][50/63] lr: 1.0000e-05 eta: 10:01:04 time: 1.0128 data_time: 0.0255 memory: 27783 loss: 0.1848 loss_text: 0.1258 loss_kernel: 0.0591 2022/11/02 04:34:22 - mmengine - INFO - Epoch(train) [359][55/63] lr: 1.0000e-05 eta: 10:01:04 time: 0.9391 data_time: 0.0177 memory: 27783 loss: 0.1843 loss_text: 0.1243 loss_kernel: 0.0599 2022/11/02 04:34:26 - mmengine - INFO - Epoch(train) [359][60/63] lr: 1.0000e-05 eta: 10:00:30 time: 0.9490 data_time: 0.0193 memory: 27783 loss: 0.1754 loss_text: 0.1185 loss_kernel: 0.0569 2022/11/02 04:34:29 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:36:09 - mmengine - INFO - Epoch(train) [360][5/63] lr: 1.0000e-05 eta: 10:00:30 time: 10.4515 data_time: 9.5944 memory: 27783 loss: 0.2107 loss_text: 0.1443 loss_kernel: 0.0664 2022/11/02 04:36:14 - mmengine - INFO - Epoch(train) [360][10/63] lr: 1.0000e-05 eta: 10:00:49 time: 10.5335 data_time: 9.6091 memory: 27783 loss: 0.2015 loss_text: 0.1368 loss_kernel: 0.0647 2022/11/02 04:36:19 - mmengine - INFO - Epoch(train) [360][15/63] lr: 1.0000e-05 eta: 10:00:49 time: 0.9800 data_time: 0.0247 memory: 27783 loss: 0.2403 loss_text: 0.1646 loss_kernel: 0.0756 2022/11/02 04:36:23 - mmengine - INFO - Epoch(train) [360][20/63] lr: 1.0000e-05 eta: 10:00:16 time: 0.9334 data_time: 0.0170 memory: 27783 loss: 0.2779 loss_text: 0.1916 loss_kernel: 0.0864 2022/11/02 04:36:28 - mmengine - INFO - Epoch(train) [360][25/63] lr: 1.0000e-05 eta: 10:00:16 time: 0.9169 data_time: 0.0219 memory: 27783 loss: 0.2170 loss_text: 0.1487 loss_kernel: 0.0683 2022/11/02 04:36:33 - mmengine - INFO - Epoch(train) [360][30/63] lr: 1.0000e-05 eta: 9:59:43 time: 0.9610 data_time: 0.0172 memory: 27783 loss: 0.1929 loss_text: 0.1322 loss_kernel: 0.0608 2022/11/02 04:36:38 - mmengine - INFO - Epoch(train) [360][35/63] lr: 1.0000e-05 eta: 9:59:43 time: 0.9733 data_time: 0.0242 memory: 27783 loss: 0.1716 loss_text: 0.1171 loss_kernel: 0.0544 2022/11/02 04:36:43 - mmengine - INFO - Epoch(train) [360][40/63] lr: 1.0000e-05 eta: 9:59:10 time: 0.9630 data_time: 0.0187 memory: 27783 loss: 0.1385 loss_text: 0.0933 loss_kernel: 0.0452 2022/11/02 04:36:48 - mmengine - INFO - Epoch(train) [360][45/63] lr: 1.0000e-05 eta: 9:59:10 time: 0.9877 data_time: 0.0234 memory: 27783 loss: 0.1570 loss_text: 0.1064 loss_kernel: 0.0506 2022/11/02 04:36:53 - mmengine - INFO - Epoch(train) [360][50/63] lr: 1.0000e-05 eta: 9:58:37 time: 0.9967 data_time: 0.0408 memory: 27783 loss: 0.1943 loss_text: 0.1338 loss_kernel: 0.0605 2022/11/02 04:36:57 - mmengine - INFO - Epoch(train) [360][55/63] lr: 1.0000e-05 eta: 9:58:37 time: 0.9520 data_time: 0.0242 memory: 27783 loss: 0.2080 loss_text: 0.1431 loss_kernel: 0.0649 2022/11/02 04:37:02 - mmengine - INFO - Epoch(train) [360][60/63] lr: 1.0000e-05 eta: 9:58:03 time: 0.9475 data_time: 0.0154 memory: 27783 loss: 0.2184 loss_text: 0.1495 loss_kernel: 0.0690 2022/11/02 04:37:05 - mmengine - INFO - Exp name: psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357 2022/11/02 04:37:05 - mmengine - INFO - Saving checkpoint at 360 epochs 2022/11/02 04:37:42 - mmengine - INFO - Epoch(val) [360][5/500] eta: 9:58:03 time: 3.2530 data_time: 3.1781 memory: 27783 2022/11/02 04:37:43 - mmengine - INFO - Epoch(val) [360][10/500] eta: 0:26:36 time: 3.2574 data_time: 3.1783 memory: 3208 2022/11/02 04:37:43 - mmengine - INFO - Epoch(val) [360][15/500] eta: 0:26:36 time: 0.0791 data_time: 0.0034 memory: 3208 2022/11/02 04:37:43 - mmengine - INFO - Epoch(val) [360][20/500] eta: 0:00:36 time: 0.0766 data_time: 0.0032 memory: 3208 2022/11/02 04:37:44 - mmengine - INFO - Epoch(val) [360][25/500] eta: 0:00:36 time: 0.0727 data_time: 0.0031 memory: 3208 2022/11/02 04:37:44 - mmengine - INFO - Epoch(val) [360][30/500] eta: 0:00:37 time: 0.0799 data_time: 0.0031 memory: 3208 2022/11/02 04:37:45 - mmengine - INFO - Epoch(val) [360][35/500] eta: 0:00:37 time: 0.0839 data_time: 0.0031 memory: 3208 2022/11/02 04:37:45 - mmengine - INFO - Epoch(val) [360][40/500] eta: 0:00:38 time: 0.0835 data_time: 0.0042 memory: 3208 2022/11/02 04:37:45 - mmengine - INFO - Epoch(val) [360][45/500] eta: 0:00:38 time: 0.0811 data_time: 0.0040 memory: 3208 2022/11/02 04:37:46 - mmengine - INFO - Epoch(val) [360][50/500] eta: 0:00:32 time: 0.0713 data_time: 0.0027 memory: 3208 2022/11/02 04:37:46 - mmengine - INFO - Epoch(val) [360][55/500] eta: 0:00:32 time: 0.0737 data_time: 0.0025 memory: 3208 2022/11/02 04:37:46 - mmengine - INFO - Epoch(val) [360][60/500] eta: 0:00:31 time: 0.0715 data_time: 0.0023 memory: 3208 2022/11/02 04:37:47 - mmengine - INFO - Epoch(val) [360][65/500] eta: 0:00:31 time: 0.0759 data_time: 0.0022 memory: 3208 2022/11/02 04:37