2022/08/26 14:48:17 - 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: 183383598 GPU 0: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/cache/share/cuda-11.1 NVCC: Cuda compilation tools, release 11.1, V11.1.74 GCC: gcc (GCC) 5.4.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.5.4 MMEngine: 0.0.1 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: slurm Distributed training: True GPU number: 1 ------------------------------------------------------------ 2022/08/26 14:48:17 - mmengine - INFO - Config: 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='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='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), 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='ShortScaleAspectJitter', short_size=736, scale_divisor=1, ratio_range=(1.0, 1.0), aspect_ratio_range=(1.0, 1.0)), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) default_scope = 'mmocr' env_cfg = dict( cudnn_benchmark=True, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) randomness = dict(seed=None) default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=5), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=20, out_dir=''), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffer=dict(type='SyncBuffersHook'), visualization=dict( type='VisualizationHook', interval=1, enable=False, show=False, draw_gt=False, draw_pred=False)) log_level = 'INFO' log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True) load_from = None resume = True val_evaluator = dict( type='HmeanIOUMetric', pred_score_thrs=dict(start=0.3, stop=1, step=0.05)) test_evaluator = dict( type='HmeanIOUMetric', pred_score_thrs=dict(start=0.3, stop=1, step=0.05)) 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=0.001)) train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=600, val_interval=20) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [dict(type='PolyLR', power=0.9, end=600)] model = dict( type='PANet', 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), backbone=dict( type='mmdet.ResNet', depth=18, num_stages=4, stem_channels=128, deep_stem=True, out_indices=(0, 1, 2, 3), frozen_stages=-1, norm_eval=False, init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet18'), style='pytorch'), neck=dict(type='FPEM_FFM', in_channels=[64, 128, 256, 512]), det_head=dict( type='PANHead', in_channels=[128, 128, 128, 128], hidden_dim=128, out_channel=6, module_loss=dict( type='PANModuleLoss', loss_text=dict(type='MaskedSquareDiceLoss'), loss_kernel=dict(type='MaskedSquareDiceLoss')), postprocessor=dict(type='PANPostprocessor', text_repr_type='quad'))) file_client_args = dict(backend='disk') 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='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='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), 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='ShortScaleAspectJitter', short_size=736, scale_divisor=1, ratio_range=(1.0, 1.0), aspect_ratio_range=(1.0, 1.0)), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] train_dataloader = dict( batch_size=64, num_workers=8, persistent_workers=True, 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='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='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) val_dataloader = dict( batch_size=1, num_workers=4, persistent_workers=True, 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='ShortScaleAspectJitter', short_size=736, scale_divisor=1, ratio_range=(1.0, 1.0), aspect_ratio_range=(1.0, 1.0)), 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=4, persistent_workers=True, 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='ShortScaleAspectJitter', short_size=736, scale_divisor=1, ratio_range=(1.0, 1.0), aspect_ratio_range=(1.0, 1.0)), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) launcher = 'slurm' work_dir = './work_dirs/panet_resnet18_fpem-ffm_600e_icdar2015' Name of parameter - Initialization information backbone.stem.0.weight - torch.Size([64, 3, 3, 3]): The value is the same before and after calling `init_weights` of PANet backbone.stem.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of PANet backbone.stem.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of PANet backbone.stem.3.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of PANet backbone.stem.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of PANet backbone.stem.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of PANet backbone.stem.6.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of PANet backbone.stem.7.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet backbone.stem.7.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet backbone.layer1.0.conv1.weight - torch.Size([64, 128, 3, 3]): The value is the same before and after calling `init_weights` of PANet backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.downsample.0.weight - torch.Size([64, 128, 1, 1]): The value is the same before and after calling `init_weights` of PANet backbone.layer1.0.downsample.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of PANet backbone.layer1.0.downsample.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of PANet backbone.layer1.1.conv1.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.conv1.weight - torch.Size([128, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.downsample.0.weight - torch.Size([128, 64, 1, 1]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.downsample.1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.downsample.1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.conv1.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.conv1.weight - torch.Size([256, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.downsample.0.weight - torch.Size([256, 128, 1, 1]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.conv1.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.conv1.weight - torch.Size([512, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.conv1.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 neck.reduce_conv_c2.0.weight - torch.Size([128, 64, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.reduce_conv_c2.0.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.reduce_conv_c2.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.reduce_conv_c2.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.reduce_conv_c3.0.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.reduce_conv_c3.0.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.reduce_conv_c3.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.reduce_conv_c3.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.reduce_conv_c4.0.weight - torch.Size([128, 256, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.reduce_conv_c4.0.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.reduce_conv_c4.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.reduce_conv_c4.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.reduce_conv_c5.0.weight - torch.Size([128, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.reduce_conv_c5.0.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.reduce_conv_c5.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.reduce_conv_c5.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.up_add1.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add1.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add1.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add1.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.up_add1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.up_add2.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add2.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add2.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add2.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.up_add2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.up_add3.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add3.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add3.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add3.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.up_add3.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.up_add3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.down_add1.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add1.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add1.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add1.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.down_add1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.down_add2.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add2.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add2.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add2.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.down_add2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.down_add3.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add3.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add3.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add3.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.0.down_add3.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.0.down_add3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.up_add1.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add1.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add1.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add1.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.up_add1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.up_add2.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add2.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add2.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add2.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.up_add2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.up_add3.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add3.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add3.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add3.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.up_add3.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.up_add3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.down_add1.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add1.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add1.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add1.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.down_add1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.down_add2.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add2.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add2.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add2.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.down_add2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.down_add3.depthwise_conv.weight - torch.Size([128, 1, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add3.depthwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add3.pointwise_conv.weight - torch.Size([128, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add3.pointwise_conv.bias - torch.Size([128]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpems.1.down_add3.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet neck.fpems.1.down_add3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet det_head.conv1.weight - torch.Size([128, 512, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 det_head.conv1.bias - torch.Size([128]): NormalInit: mean=0, std=0.01, bias=0 det_head.bn1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet det_head.bn1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of PANet det_head.conv2.weight - torch.Size([6, 128, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 det_head.conv2.bias - torch.Size([6]): NormalInit: mean=0, std=0.01, bias=0 2022/08/26 14:49:04 - mmengine - INFO - Auto resumed from the latest checkpoint None. 2022/08/26 14:50:47 - mmengine - INFO - Epoch(train) [1][5/16] lr: 1.0000e-03 memory: 63444 data_time: 16.6629 loss_text: 0.5913 loss_kernel: 0.2291 loss_embedding: 0.3053 loss: 1.1257 time: 20.5084 2022/08/26 14:50:59 - mmengine - INFO - Epoch(train) [1][10/16] lr: 1.0000e-03 eta: 1 day, 6:29:17 time: 11.4450 data_time: 8.3948 memory: 63387 loss_text: 0.5832 loss_kernel: 0.2321 loss_embedding: 0.2847 loss: 1.1000 2022/08/26 14:51:10 - mmengine - INFO - Epoch(train) [1][15/16] lr: 1.0000e-03 eta: 1 day, 6:29:17 time: 2.2680 data_time: 0.0818 memory: 63387 loss_text: 0.5680 loss_kernel: 0.2308 loss_embedding: 0.2389 loss: 1.0377 2022/08/26 14:51:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:51:33 - mmengine - INFO - Epoch(train) [2][5/16] lr: 9.9850e-04 eta: 1 day, 6:29:17 time: 3.2309 data_time: 0.4891 memory: 63387 loss_text: 0.5727 loss_kernel: 0.2333 loss_embedding: 0.2023 loss: 1.0082 2022/08/26 14:51:45 - mmengine - INFO - Epoch(train) [2][10/16] lr: 9.9850e-04 eta: 14:34:10 time: 2.7989 data_time: 0.5352 memory: 63387 loss_text: 0.5729 loss_kernel: 0.2323 loss_embedding: 0.1859 loss: 0.9911 2022/08/26 14:51:57 - mmengine - INFO - Epoch(train) [2][15/16] lr: 9.9850e-04 eta: 14:34:10 time: 2.3231 data_time: 0.0857 memory: 63387 loss_text: 0.5571 loss_kernel: 0.2174 loss_embedding: 0.1721 loss: 0.9466 2022/08/26 14:51:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:52:14 - mmengine - INFO - Epoch(train) [3][5/16] lr: 9.9699e-04 eta: 14:34:10 time: 2.6726 data_time: 0.4795 memory: 63387 loss_text: 0.5587 loss_kernel: 0.2110 loss_embedding: 0.1535 loss: 0.9232 2022/08/26 14:52:26 - mmengine - INFO - Epoch(train) [3][10/16] lr: 9.9699e-04 eta: 10:41:01 time: 2.6570 data_time: 0.4966 memory: 63387 loss_text: 0.5632 loss_kernel: 0.2072 loss_embedding: 0.1452 loss: 0.9156 2022/08/26 14:52:37 - mmengine - INFO - Epoch(train) [3][15/16] lr: 9.9699e-04 eta: 10:41:01 time: 2.2205 data_time: 0.0750 memory: 63387 loss_text: 0.5545 loss_kernel: 0.1967 loss_embedding: 0.1363 loss: 0.8876 2022/08/26 14:52:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:52:55 - mmengine - INFO - Epoch(train) [4][5/16] lr: 9.9549e-04 eta: 10:41:01 time: 2.6774 data_time: 0.5515 memory: 63387 loss_text: 0.5410 loss_kernel: 0.1869 loss_embedding: 0.1340 loss: 0.8619 2022/08/26 14:53:06 - mmengine - INFO - Epoch(train) [4][10/16] lr: 9.9549e-04 eta: 8:59:38 time: 2.7801 data_time: 0.5721 memory: 63387 loss_text: 0.5352 loss_kernel: 0.1842 loss_embedding: 0.1297 loss: 0.8491 2022/08/26 14:53:18 - mmengine - INFO - Epoch(train) [4][15/16] lr: 9.9549e-04 eta: 8:59:38 time: 2.2683 data_time: 0.0777 memory: 63387 loss_text: 0.5346 loss_kernel: 0.1838 loss_embedding: 0.1180 loss: 0.8364 2022/08/26 14:53:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:53:35 - mmengine - INFO - Epoch(train) [5][5/16] lr: 9.9399e-04 eta: 8:59:38 time: 2.6217 data_time: 0.5071 memory: 63387 loss_text: 0.5365 loss_kernel: 0.1859 loss_embedding: 0.1029 loss: 0.8253 2022/08/26 14:53:47 - mmengine - INFO - Epoch(train) [5][10/16] lr: 9.9399e-04 eta: 8:01:13 time: 2.7489 data_time: 0.5533 memory: 63387 loss_text: 0.5216 loss_kernel: 0.1799 loss_embedding: 0.1040 loss: 0.8055 2022/08/26 14:53:58 - mmengine - INFO - Epoch(train) [5][15/16] lr: 9.9399e-04 eta: 8:01:13 time: 2.3299 data_time: 0.1252 memory: 63387 loss_text: 0.5075 loss_kernel: 0.1709 loss_embedding: 0.1173 loss: 0.7956 2022/08/26 14:54:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:54:15 - mmengine - INFO - Epoch(train) [6][5/16] lr: 9.9248e-04 eta: 8:01:13 time: 2.5396 data_time: 0.4818 memory: 63387 loss_text: 0.5053 loss_kernel: 0.1709 loss_embedding: 0.1141 loss: 0.7903 2022/08/26 14:54:27 - mmengine - INFO - Epoch(train) [6][10/16] lr: 9.9248e-04 eta: 7:22:21 time: 2.6881 data_time: 0.5131 memory: 63387 loss_text: 0.4981 loss_kernel: 0.1698 loss_embedding: 0.1079 loss: 0.7758 2022/08/26 14:54:38 - mmengine - INFO - Epoch(train) [6][15/16] lr: 9.9248e-04 eta: 7:22:21 time: 2.2783 data_time: 0.0836 memory: 63387 loss_text: 0.5039 loss_kernel: 0.1746 loss_embedding: 0.1028 loss: 0.7813 2022/08/26 14:54:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:54:54 - mmengine - INFO - Epoch(train) [7][5/16] lr: 9.9098e-04 eta: 7:22:21 time: 2.5512 data_time: 0.4570 memory: 63387 loss_text: 0.4806 loss_kernel: 0.1683 loss_embedding: 0.1004 loss: 0.7493 2022/08/26 14:55:06 - mmengine - INFO - Epoch(train) [7][10/16] lr: 9.9098e-04 eta: 6:54:12 time: 2.6300 data_time: 0.4875 memory: 63387 loss_text: 0.4735 loss_kernel: 0.1677 loss_embedding: 0.1009 loss: 0.7420 2022/08/26 14:55:17 - mmengine - INFO - Epoch(train) [7][15/16] lr: 9.9098e-04 eta: 6:54:12 time: 2.2347 data_time: 0.0826 memory: 63387 loss_text: 0.4748 loss_kernel: 0.1691 loss_embedding: 0.0985 loss: 0.7424 2022/08/26 14:55:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:55:34 - mmengine - INFO - Epoch(train) [8][5/16] lr: 9.8948e-04 eta: 6:54:12 time: 2.5311 data_time: 0.4791 memory: 63387 loss_text: 0.4747 loss_kernel: 0.1754 loss_embedding: 0.0955 loss: 0.7457 2022/08/26 14:55:46 - mmengine - INFO - Epoch(train) [8][10/16] lr: 9.8948e-04 eta: 6:34:27 time: 2.7160 data_time: 0.5242 memory: 63387 loss_text: 0.4670 loss_kernel: 0.1698 loss_embedding: 0.0894 loss: 0.7262 2022/08/26 14:55:57 - mmengine - INFO - Epoch(train) [8][15/16] lr: 9.8948e-04 eta: 6:34:27 time: 2.3589 data_time: 0.1084 memory: 63387 loss_text: 0.4411 loss_kernel: 0.1555 loss_embedding: 0.0916 loss: 0.6882 2022/08/26 14:55:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:56:14 - mmengine - INFO - Epoch(train) [9][5/16] lr: 9.8797e-04 eta: 6:34:27 time: 2.5732 data_time: 0.4906 memory: 63387 loss_text: 0.4547 loss_kernel: 0.1623 loss_embedding: 0.1008 loss: 0.7178 2022/08/26 14:56:26 - mmengine - INFO - Epoch(train) [9][10/16] lr: 9.8797e-04 eta: 6:19:06 time: 2.7113 data_time: 0.5023 memory: 63387 loss_text: 0.4461 loss_kernel: 0.1663 loss_embedding: 0.0887 loss: 0.7011 2022/08/26 14:56:37 - mmengine - INFO - Epoch(train) [9][15/16] lr: 9.8797e-04 eta: 6:19:06 time: 2.2885 data_time: 0.0771 memory: 63387 loss_text: 0.4333 loss_kernel: 0.1604 loss_embedding: 0.0774 loss: 0.6710 2022/08/26 14:56:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:56:54 - mmengine - INFO - Epoch(train) [10][5/16] lr: 9.8647e-04 eta: 6:19:06 time: 2.6048 data_time: 0.4761 memory: 63387 loss_text: 0.4100 loss_kernel: 0.1466 loss_embedding: 0.0829 loss: 0.6394 2022/08/26 14:57:06 - mmengine - INFO - Epoch(train) [10][10/16] lr: 9.8647e-04 eta: 6:06:41 time: 2.6943 data_time: 0.4994 memory: 63387 loss_text: 0.4100 loss_kernel: 0.1498 loss_embedding: 0.0911 loss: 0.6509 2022/08/26 14:57:17 - mmengine - INFO - Epoch(train) [10][15/16] lr: 9.8647e-04 eta: 6:06:41 time: 2.2541 data_time: 0.0773 memory: 63387 loss_text: 0.4189 loss_kernel: 0.1605 loss_embedding: 0.0917 loss: 0.6711 2022/08/26 14:57:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:57:34 - mmengine - INFO - Epoch(train) [11][5/16] lr: 9.8496e-04 eta: 6:06:41 time: 2.5561 data_time: 0.4789 memory: 63387 loss_text: 0.4362 loss_kernel: 0.1662 loss_embedding: 0.0850 loss: 0.6874 2022/08/26 14:57:46 - mmengine - INFO - Epoch(train) [11][10/16] lr: 9.8496e-04 eta: 5:56:45 time: 2.7195 data_time: 0.5095 memory: 63387 loss_text: 0.4328 loss_kernel: 0.1616 loss_embedding: 0.0845 loss: 0.6789 2022/08/26 14:57:57 - mmengine - INFO - Epoch(train) [11][15/16] lr: 9.8496e-04 eta: 5:56:45 time: 2.3188 data_time: 0.1015 memory: 63387 loss_text: 0.4165 loss_kernel: 0.1575 loss_embedding: 0.0878 loss: 0.6618 2022/08/26 14:57:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:58:14 - mmengine - INFO - Epoch(train) [12][5/16] lr: 9.8346e-04 eta: 5:56:45 time: 2.5816 data_time: 0.4536 memory: 63387 loss_text: 0.4229 loss_kernel: 0.1619 loss_embedding: 0.0821 loss: 0.6669 2022/08/26 14:58:26 - mmengine - INFO - Epoch(train) [12][10/16] lr: 9.8346e-04 eta: 5:48:04 time: 2.6746 data_time: 0.5068 memory: 63387 loss_text: 0.4176 loss_kernel: 0.1581 loss_embedding: 0.0746 loss: 0.6503 2022/08/26 14:58:38 - mmengine - INFO - Epoch(train) [12][15/16] lr: 9.8346e-04 eta: 5:48:04 time: 2.3626 data_time: 0.1401 memory: 63387 loss_text: 0.4032 loss_kernel: 0.1549 loss_embedding: 0.0782 loss: 0.6363 2022/08/26 14:58:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:58:55 - mmengine - INFO - Epoch(train) [13][5/16] lr: 9.8195e-04 eta: 5:48:04 time: 2.5533 data_time: 0.5012 memory: 63387 loss_text: 0.4260 loss_kernel: 0.1619 loss_embedding: 0.0792 loss: 0.6671 2022/08/26 14:59:06 - mmengine - INFO - Epoch(train) [13][10/16] lr: 9.8195e-04 eta: 5:40:54 time: 2.7014 data_time: 0.5014 memory: 63387 loss_text: 0.4371 loss_kernel: 0.1616 loss_embedding: 0.0705 loss: 0.6692 2022/08/26 14:59:19 - mmengine - INFO - Epoch(train) [13][15/16] lr: 9.8195e-04 eta: 5:40:54 time: 2.4128 data_time: 0.1219 memory: 63387 loss_text: 0.4118 loss_kernel: 0.1514 loss_embedding: 0.0762 loss: 0.6394 2022/08/26 14:59:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 14:59:36 - mmengine - INFO - Epoch(train) [14][5/16] lr: 9.8045e-04 eta: 5:40:54 time: 2.6549 data_time: 0.4782 memory: 63387 loss_text: 0.3798 loss_kernel: 0.1442 loss_embedding: 0.0790 loss: 0.6029 2022/08/26 14:59:48 - mmengine - INFO - Epoch(train) [14][10/16] lr: 9.8045e-04 eta: 5:34:54 time: 2.7270 data_time: 0.5055 memory: 63387 loss_text: 0.4016 loss_kernel: 0.1474 loss_embedding: 0.0767 loss: 0.6258 2022/08/26 15:00:00 - mmengine - INFO - Epoch(train) [14][15/16] lr: 9.8045e-04 eta: 5:34:54 time: 2.3866 data_time: 0.0966 memory: 63387 loss_text: 0.4018 loss_kernel: 0.1501 loss_embedding: 0.0808 loss: 0.6326 2022/08/26 15:00:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:00:16 - mmengine - INFO - Epoch(train) [15][5/16] lr: 9.7894e-04 eta: 5:34:54 time: 2.6434 data_time: 0.4905 memory: 63387 loss_text: 0.3785 loss_kernel: 0.1448 loss_embedding: 0.0797 loss: 0.6030 2022/08/26 15:00:28 - mmengine - INFO - Epoch(train) [15][10/16] lr: 9.7894e-04 eta: 5:29:29 time: 2.6995 data_time: 0.4928 memory: 63387 loss_text: 0.3882 loss_kernel: 0.1496 loss_embedding: 0.0735 loss: 0.6113 2022/08/26 15:00:40 - mmengine - INFO - Epoch(train) [15][15/16] lr: 9.7894e-04 eta: 5:29:29 time: 2.3256 data_time: 0.0791 memory: 63387 loss_text: 0.4054 loss_kernel: 0.1579 loss_embedding: 0.0653 loss: 0.6286 2022/08/26 15:00:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:00:56 - mmengine - INFO - Epoch(train) [16][5/16] lr: 9.7743e-04 eta: 5:29:29 time: 2.5397 data_time: 0.4564 memory: 63387 loss_text: 0.3777 loss_kernel: 0.1447 loss_embedding: 0.0641 loss: 0.5864 2022/08/26 15:01:08 - mmengine - INFO - Epoch(train) [16][10/16] lr: 9.7743e-04 eta: 5:24:47 time: 2.7148 data_time: 0.5293 memory: 63387 loss_text: 0.3935 loss_kernel: 0.1492 loss_embedding: 0.0723 loss: 0.6150 2022/08/26 15:01:20 - mmengine - INFO - Epoch(train) [16][15/16] lr: 9.7743e-04 eta: 5:24:47 time: 2.3981 data_time: 0.1188 memory: 63387 loss_text: 0.4112 loss_kernel: 0.1568 loss_embedding: 0.0729 loss: 0.6408 2022/08/26 15:01:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:01:37 - mmengine - INFO - Epoch(train) [17][5/16] lr: 9.7593e-04 eta: 5:24:47 time: 2.6493 data_time: 0.4814 memory: 63387 loss_text: 0.3787 loss_kernel: 0.1468 loss_embedding: 0.0705 loss: 0.5960 2022/08/26 15:01:49 - mmengine - INFO - Epoch(train) [17][10/16] lr: 9.7593e-04 eta: 5:20:38 time: 2.7183 data_time: 0.4957 memory: 63387 loss_text: 0.3815 loss_kernel: 0.1496 loss_embedding: 0.0720 loss: 0.6030 2022/08/26 15:02:00 - mmengine - INFO - Epoch(train) [17][15/16] lr: 9.7593e-04 eta: 5:20:38 time: 2.3193 data_time: 0.0906 memory: 63387 loss_text: 0.4113 loss_kernel: 0.1602 loss_embedding: 0.0686 loss: 0.6401 2022/08/26 15:02:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:02:17 - mmengine - INFO - Epoch(train) [18][5/16] lr: 9.7442e-04 eta: 5:20:38 time: 2.5599 data_time: 0.4864 memory: 63387 loss_text: 0.4037 loss_kernel: 0.1614 loss_embedding: 0.0665 loss: 0.6317 2022/08/26 15:02:29 - mmengine - INFO - Epoch(train) [18][10/16] lr: 9.7442e-04 eta: 5:16:56 time: 2.7269 data_time: 0.4985 memory: 63387 loss_text: 0.3825 loss_kernel: 0.1512 loss_embedding: 0.0713 loss: 0.6050 2022/08/26 15:02:41 - mmengine - INFO - Epoch(train) [18][15/16] lr: 9.7442e-04 eta: 5:16:56 time: 2.3790 data_time: 0.0850 memory: 63387 loss_text: 0.3755 loss_kernel: 0.1461 loss_embedding: 0.0713 loss: 0.5930 2022/08/26 15:02:42 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:02:58 - mmengine - INFO - Epoch(train) [19][5/16] lr: 9.7291e-04 eta: 5:16:56 time: 2.6529 data_time: 0.5062 memory: 63387 loss_text: 0.3822 loss_kernel: 0.1492 loss_embedding: 0.0693 loss: 0.6007 2022/08/26 15:03:09 - mmengine - INFO - Epoch(train) [19][10/16] lr: 9.7291e-04 eta: 5:13:32 time: 2.7162 data_time: 0.5318 memory: 63387 loss_text: 0.3599 loss_kernel: 0.1409 loss_embedding: 0.0730 loss: 0.5738 2022/08/26 15:03:20 - mmengine - INFO - Epoch(train) [19][15/16] lr: 9.7291e-04 eta: 5:13:32 time: 2.2511 data_time: 0.0837 memory: 63387 loss_text: 0.3768 loss_kernel: 0.1496 loss_embedding: 0.0679 loss: 0.5944 2022/08/26 15:03:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:03:36 - mmengine - INFO - Epoch(train) [20][5/16] lr: 9.7141e-04 eta: 5:13:32 time: 2.4976 data_time: 0.4644 memory: 63387 loss_text: 0.3680 loss_kernel: 0.1464 loss_embedding: 0.0675 loss: 0.5819 2022/08/26 15:03:48 - mmengine - INFO - Epoch(train) [20][10/16] lr: 9.7141e-04 eta: 5:10:02 time: 2.6338 data_time: 0.5031 memory: 63387 loss_text: 0.3518 loss_kernel: 0.1414 loss_embedding: 0.0664 loss: 0.5597 2022/08/26 15:03:59 - mmengine - INFO - Epoch(train) [20][15/16] lr: 9.7141e-04 eta: 5:10:02 time: 2.2729 data_time: 0.1160 memory: 63387 loss_text: 0.3597 loss_kernel: 0.1441 loss_embedding: 0.0658 loss: 0.5696 2022/08/26 15:04:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:04:01 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/26 15:04:55 - mmengine - INFO - Epoch(val) [20][5/500] eta: 5:10:02 time: 10.1545 data_time: 9.8504 memory: 39748 2022/08/26 15:04:55 - mmengine - INFO - Epoch(val) [20][10/500] eta: 0:41:34 time: 5.0915 data_time: 4.9289 memory: 661 2022/08/26 15:04:55 - mmengine - INFO - Epoch(val) [20][15/500] eta: 0:41:34 time: 0.0259 data_time: 0.0049 memory: 661 2022/08/26 15:04:55 - mmengine - INFO - Epoch(val) [20][20/500] eta: 0:00:11 time: 0.0237 data_time: 0.0022 memory: 661 2022/08/26 15:04:55 - mmengine - INFO - Epoch(val) [20][25/500] eta: 0:00:11 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 15:04:55 - mmengine - INFO - Epoch(val) [20][30/500] eta: 0:00:11 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 15:04:55 - mmengine - INFO - Epoch(val) [20][35/500] eta: 0:00:11 time: 0.0234 data_time: 0.0020 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][40/500] eta: 0:00:10 time: 0.0231 data_time: 0.0019 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][45/500] eta: 0:00:10 time: 0.0232 data_time: 0.0018 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][50/500] eta: 0:00:09 time: 0.0213 data_time: 0.0019 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][55/500] eta: 0:00:09 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][60/500] eta: 0:00:09 time: 0.0211 data_time: 0.0019 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][65/500] eta: 0:00:09 time: 0.0212 data_time: 0.0018 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][70/500] eta: 0:00:09 time: 0.0222 data_time: 0.0018 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][75/500] eta: 0:00:09 time: 0.0206 data_time: 0.0018 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][80/500] eta: 0:00:08 time: 0.0198 data_time: 0.0018 memory: 661 2022/08/26 15:04:56 - mmengine - INFO - Epoch(val) [20][85/500] eta: 0:00:08 time: 0.0193 data_time: 0.0019 memory: 661 2022/08/26 15:04:57 - mmengine - INFO - Epoch(val) [20][90/500] eta: 0:00:09 time: 0.0221 data_time: 0.0019 memory: 661 2022/08/26 15:04:57 - mmengine - INFO - Epoch(val) [20][95/500] eta: 0:00:09 time: 0.0237 data_time: 0.0020 memory: 661 2022/08/26 15:04:57 - mmengine - INFO - Epoch(val) [20][100/500] eta: 0:00:08 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 15:04:57 - mmengine - INFO - Epoch(val) [20][105/500] eta: 0:00:08 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 15:04:57 - mmengine - INFO - Epoch(val) [20][110/500] eta: 0:00:08 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 15:04:57 - mmengine - INFO - Epoch(val) [20][115/500] eta: 0:00:08 time: 0.0225 data_time: 0.0019 memory: 661 2022/08/26 15:04:57 - mmengine - INFO - Epoch(val) [20][120/500] eta: 0:00:08 time: 0.0230 data_time: 0.0020 memory: 661 2022/08/26 15:04:57 - mmengine - INFO - Epoch(val) [20][125/500] eta: 0:00:08 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 15:04:57 - mmengine - INFO - Epoch(val) [20][130/500] eta: 0:00:07 time: 0.0196 data_time: 0.0019 memory: 661 2022/08/26 15:04:58 - mmengine - INFO - Epoch(val) [20][135/500] eta: 0:00:07 time: 0.0196 data_time: 0.0017 memory: 661 2022/08/26 15:04:58 - mmengine - INFO - Epoch(val) [20][140/500] eta: 0:00:07 time: 0.0202 data_time: 0.0017 memory: 661 2022/08/26 15:04:58 - mmengine - INFO - Epoch(val) [20][145/500] eta: 0:00:07 time: 0.0209 data_time: 0.0017 memory: 661 2022/08/26 15:04:58 - mmengine - INFO - Epoch(val) [20][150/500] eta: 0:00:07 time: 0.0218 data_time: 0.0017 memory: 661 2022/08/26 15:04:58 - mmengine - INFO - Epoch(val) [20][155/500] eta: 0:00:07 time: 0.0228 data_time: 0.0017 memory: 661 2022/08/26 15:04:58 - mmengine - INFO - Epoch(val) [20][160/500] eta: 0:00:07 time: 0.0234 data_time: 0.0017 memory: 661 2022/08/26 15:04:58 - mmengine - INFO - Epoch(val) [20][165/500] eta: 0:00:07 time: 0.0225 data_time: 0.0018 memory: 661 2022/08/26 15:04:58 - mmengine - INFO - Epoch(val) [20][170/500] eta: 0:00:07 time: 0.0220 data_time: 0.0018 memory: 661 2022/08/26 15:04:58 - mmengine - INFO - Epoch(val) [20][175/500] eta: 0:00:07 time: 0.0215 data_time: 0.0019 memory: 661 2022/08/26 15:04:59 - mmengine - INFO - Epoch(val) [20][180/500] eta: 0:00:07 time: 0.0219 data_time: 0.0020 memory: 661 2022/08/26 15:04:59 - mmengine - INFO - Epoch(val) [20][185/500] eta: 0:00:07 time: 0.0233 data_time: 0.0019 memory: 661 2022/08/26 15:04:59 - mmengine - INFO - Epoch(val) [20][190/500] eta: 0:00:07 time: 0.0227 data_time: 0.0017 memory: 661 2022/08/26 15:04:59 - mmengine - INFO - Epoch(val) [20][195/500] eta: 0:00:07 time: 0.0219 data_time: 0.0018 memory: 661 2022/08/26 15:04:59 - mmengine - INFO - Epoch(val) [20][200/500] eta: 0:00:07 time: 0.0251 data_time: 0.0021 memory: 661 2022/08/26 15:04:59 - mmengine - INFO - Epoch(val) [20][205/500] eta: 0:00:07 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 15:04:59 - mmengine - INFO - Epoch(val) [20][210/500] eta: 0:00:05 time: 0.0202 data_time: 0.0021 memory: 661 2022/08/26 15:04:59 - mmengine - INFO - Epoch(val) [20][215/500] eta: 0:00:05 time: 0.0207 data_time: 0.0021 memory: 661 2022/08/26 15:04:59 - mmengine - INFO - Epoch(val) [20][220/500] eta: 0:00:06 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 15:05:00 - mmengine - INFO - Epoch(val) [20][225/500] eta: 0:00:06 time: 0.0231 data_time: 0.0020 memory: 661 2022/08/26 15:05:00 - mmengine - INFO - Epoch(val) [20][230/500] eta: 0:00:05 time: 0.0219 data_time: 0.0019 memory: 661 2022/08/26 15:05:00 - mmengine - INFO - Epoch(val) [20][235/500] eta: 0:00:05 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 15:05:00 - mmengine - INFO - Epoch(val) [20][240/500] eta: 0:00:05 time: 0.0230 data_time: 0.0019 memory: 661 2022/08/26 15:05:00 - mmengine - INFO - Epoch(val) [20][245/500] eta: 0:00:05 time: 0.0200 data_time: 0.0017 memory: 661 2022/08/26 15:05:00 - mmengine - INFO - Epoch(val) [20][250/500] eta: 0:00:05 time: 0.0206 data_time: 0.0017 memory: 661 2022/08/26 15:05:00 - mmengine - INFO - Epoch(val) [20][255/500] eta: 0:00:05 time: 0.0210 data_time: 0.0017 memory: 661 2022/08/26 15:05:00 - mmengine - INFO - Epoch(val) [20][260/500] eta: 0:00:04 time: 0.0199 data_time: 0.0018 memory: 661 2022/08/26 15:05:00 - mmengine - INFO - Epoch(val) [20][265/500] eta: 0:00:04 time: 0.0195 data_time: 0.0018 memory: 661 2022/08/26 15:05:01 - mmengine - INFO - Epoch(val) [20][270/500] eta: 0:00:04 time: 0.0204 data_time: 0.0017 memory: 661 2022/08/26 15:05:01 - mmengine - INFO - Epoch(val) [20][275/500] eta: 0:00:04 time: 0.0202 data_time: 0.0017 memory: 661 2022/08/26 15:05:01 - mmengine - INFO - Epoch(val) [20][280/500] eta: 0:00:04 time: 0.0210 data_time: 0.0019 memory: 661 2022/08/26 15:05:01 - mmengine - INFO - Epoch(val) [20][285/500] eta: 0:00:04 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 15:05:01 - mmengine - INFO - Epoch(val) [20][290/500] eta: 0:00:04 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 15:05:01 - mmengine - INFO - Epoch(val) [20][295/500] eta: 0:00:04 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 15:05:01 - mmengine - INFO - Epoch(val) [20][300/500] eta: 0:00:04 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 15:05:01 - mmengine - INFO - Epoch(val) [20][305/500] eta: 0:00:04 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 15:05:01 - mmengine - INFO - Epoch(val) [20][310/500] eta: 0:00:04 time: 0.0217 data_time: 0.0022 memory: 661 2022/08/26 15:05:02 - mmengine - INFO - Epoch(val) [20][315/500] eta: 0:00:04 time: 0.0243 data_time: 0.0023 memory: 661 2022/08/26 15:05:02 - mmengine - INFO - Epoch(val) [20][320/500] eta: 0:00:04 time: 0.0253 data_time: 0.0023 memory: 661 2022/08/26 15:05:02 - mmengine - INFO - Epoch(val) [20][325/500] eta: 0:00:04 time: 0.0294 data_time: 0.0022 memory: 661 2022/08/26 15:05:02 - mmengine - INFO - Epoch(val) [20][330/500] eta: 0:00:04 time: 0.0282 data_time: 0.0021 memory: 661 2022/08/26 15:05:02 - mmengine - INFO - Epoch(val) [20][335/500] eta: 0:00:04 time: 0.0210 data_time: 0.0023 memory: 661 2022/08/26 15:05:02 - mmengine - INFO - Epoch(val) [20][340/500] eta: 0:00:03 time: 0.0241 data_time: 0.0024 memory: 661 2022/08/26 15:05:02 - mmengine - INFO - Epoch(val) [20][345/500] eta: 0:00:03 time: 0.0247 data_time: 0.0023 memory: 661 2022/08/26 15:05:02 - mmengine - INFO - Epoch(val) [20][350/500] eta: 0:00:03 time: 0.0245 data_time: 0.0022 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][355/500] eta: 0:00:03 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][360/500] eta: 0:00:03 time: 0.0226 data_time: 0.0022 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][365/500] eta: 0:00:03 time: 0.0232 data_time: 0.0024 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][370/500] eta: 0:00:02 time: 0.0226 data_time: 0.0024 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][375/500] eta: 0:00:02 time: 0.0217 data_time: 0.0024 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][380/500] eta: 0:00:02 time: 0.0227 data_time: 0.0022 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][385/500] eta: 0:00:02 time: 0.0229 data_time: 0.0020 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][390/500] eta: 0:00:02 time: 0.0209 data_time: 0.0019 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][395/500] eta: 0:00:02 time: 0.0206 data_time: 0.0020 memory: 661 2022/08/26 15:05:03 - mmengine - INFO - Epoch(val) [20][400/500] eta: 0:00:02 time: 0.0209 data_time: 0.0020 memory: 661 2022/08/26 15:05:04 - mmengine - INFO - Epoch(val) [20][405/500] eta: 0:00:02 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 15:05:04 - mmengine - INFO - Epoch(val) [20][410/500] eta: 0:00:01 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 15:05:04 - mmengine - INFO - Epoch(val) [20][415/500] eta: 0:00:01 time: 0.0213 data_time: 0.0021 memory: 661 2022/08/26 15:05:04 - mmengine - INFO - Epoch(val) [20][420/500] eta: 0:00:01 time: 0.0201 data_time: 0.0021 memory: 661 2022/08/26 15:05:04 - mmengine - INFO - Epoch(val) [20][425/500] eta: 0:00:01 time: 0.0203 data_time: 0.0022 memory: 661 2022/08/26 15:05:04 - mmengine - INFO - Epoch(val) [20][430/500] eta: 0:00:01 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 15:05:04 - mmengine - INFO - Epoch(val) [20][435/500] eta: 0:00:01 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 15:05:04 - mmengine - INFO - Epoch(val) [20][440/500] eta: 0:00:01 time: 0.0227 data_time: 0.0020 memory: 661 2022/08/26 15:05:04 - mmengine - INFO - Epoch(val) [20][445/500] eta: 0:00:01 time: 0.0226 data_time: 0.0021 memory: 661 2022/08/26 15:05:05 - mmengine - INFO - Epoch(val) [20][450/500] eta: 0:00:01 time: 0.0233 data_time: 0.0020 memory: 661 2022/08/26 15:05:05 - mmengine - INFO - Epoch(val) [20][455/500] eta: 0:00:01 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 15:05:05 - mmengine - INFO - Epoch(val) [20][460/500] eta: 0:00:00 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 15:05:05 - mmengine - INFO - Epoch(val) [20][465/500] eta: 0:00:00 time: 0.0203 data_time: 0.0019 memory: 661 2022/08/26 15:05:05 - mmengine - INFO - Epoch(val) [20][470/500] eta: 0:00:00 time: 0.0197 data_time: 0.0018 memory: 661 2022/08/26 15:05:05 - mmengine - INFO - Epoch(val) [20][475/500] eta: 0:00:00 time: 0.0192 data_time: 0.0018 memory: 661 2022/08/26 15:05:05 - mmengine - INFO - Epoch(val) [20][480/500] eta: 0:00:00 time: 0.0199 data_time: 0.0018 memory: 661 2022/08/26 15:05:05 - mmengine - INFO - Epoch(val) [20][485/500] eta: 0:00:00 time: 0.0207 data_time: 0.0019 memory: 661 2022/08/26 15:05:05 - mmengine - INFO - Epoch(val) [20][490/500] eta: 0:00:00 time: 0.0232 data_time: 0.0018 memory: 661 2022/08/26 15:05:06 - mmengine - INFO - Epoch(val) [20][495/500] eta: 0:00:00 time: 0.0291 data_time: 0.0022 memory: 661 2022/08/26 15:05:06 - mmengine - INFO - Epoch(val) [20][500/500] eta: 0:00:00 time: 0.0268 data_time: 0.0026 memory: 661 2022/08/26 15:05:06 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.3794, precision: 0.4152, hmean: 0.3965 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.3794, precision: 0.4152, hmean: 0.3965 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.3794, precision: 0.4152, hmean: 0.3965 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.3794, precision: 0.4152, hmean: 0.3965 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.3794, precision: 0.4152, hmean: 0.3965 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.3794, precision: 0.4187, hmean: 0.3981 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.3789, precision: 0.4426, hmean: 0.4083 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.3755, precision: 0.4640, hmean: 0.4151 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.3698, precision: 0.4901, hmean: 0.4215 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.3616, precision: 0.5105, hmean: 0.4233 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3467, precision: 0.5349, hmean: 0.4207 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.3207, precision: 0.5620, hmean: 0.4083 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.2523, precision: 0.5822, hmean: 0.3520 2022/08/26 15:05:06 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.0515, precision: 0.5602, hmean: 0.0944 2022/08/26 15:05:06 - mmengine - INFO - Epoch(val) [20][500/500] icdar/precision: 0.5105 icdar/recall: 0.3616 icdar/hmean: 0.4233 2022/08/26 15:05:22 - mmengine - INFO - Epoch(train) [21][5/16] lr: 9.6990e-04 eta: 0:00:00 time: 2.6587 data_time: 0.5453 memory: 63381 loss_text: 0.3717 loss_kernel: 0.1458 loss_embedding: 0.0634 loss: 0.5809 2022/08/26 15:05:34 - mmengine - INFO - Epoch(train) [21][10/16] lr: 9.6990e-04 eta: 5:07:30 time: 2.7810 data_time: 0.5419 memory: 63381 loss_text: 0.3628 loss_kernel: 0.1438 loss_embedding: 0.0615 loss: 0.5681 2022/08/26 15:05:45 - mmengine - INFO - Epoch(train) [21][15/16] lr: 9.6990e-04 eta: 5:07:30 time: 2.3163 data_time: 0.0845 memory: 63381 loss_text: 0.3658 loss_kernel: 0.1485 loss_embedding: 0.0622 loss: 0.5765 2022/08/26 15:05:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:06:03 - mmengine - INFO - Epoch(train) [22][5/16] lr: 9.6839e-04 eta: 5:07:30 time: 2.6820 data_time: 0.5365 memory: 63381 loss_text: 0.3622 loss_kernel: 0.1471 loss_embedding: 0.0603 loss: 0.5695 2022/08/26 15:06:15 - mmengine - INFO - Epoch(train) [22][10/16] lr: 9.6839e-04 eta: 5:05:19 time: 2.8118 data_time: 0.5790 memory: 63381 loss_text: 0.3600 loss_kernel: 0.1456 loss_embedding: 0.0586 loss: 0.5642 2022/08/26 15:06:25 - mmengine - INFO - Epoch(train) [22][15/16] lr: 9.6839e-04 eta: 5:05:19 time: 2.2558 data_time: 0.1000 memory: 63381 loss_text: 0.3824 loss_kernel: 0.1516 loss_embedding: 0.0613 loss: 0.5953 2022/08/26 15:06:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:06:43 - mmengine - INFO - Epoch(train) [23][5/16] lr: 9.6688e-04 eta: 5:05:19 time: 2.5464 data_time: 0.4724 memory: 63381 loss_text: 0.3756 loss_kernel: 0.1487 loss_embedding: 0.0618 loss: 0.5861 2022/08/26 15:06:54 - mmengine - INFO - Epoch(train) [23][10/16] lr: 9.6688e-04 eta: 5:02:56 time: 2.7322 data_time: 0.5229 memory: 63381 loss_text: 0.3478 loss_kernel: 0.1440 loss_embedding: 0.0597 loss: 0.5515 2022/08/26 15:07:06 - mmengine - INFO - Epoch(train) [23][15/16] lr: 9.6688e-04 eta: 5:02:56 time: 2.3752 data_time: 0.1425 memory: 63381 loss_text: 0.3520 loss_kernel: 0.1400 loss_embedding: 0.0627 loss: 0.5546 2022/08/26 15:07:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:07:24 - mmengine - INFO - Epoch(train) [24][5/16] lr: 9.6538e-04 eta: 5:02:56 time: 2.6798 data_time: 0.5180 memory: 63381 loss_text: 0.3786 loss_kernel: 0.1504 loss_embedding: 0.0554 loss: 0.5844 2022/08/26 15:07:35 - mmengine - INFO - Epoch(train) [24][10/16] lr: 9.6538e-04 eta: 5:00:51 time: 2.7664 data_time: 0.5398 memory: 63381 loss_text: 0.3611 loss_kernel: 0.1471 loss_embedding: 0.0562 loss: 0.5644 2022/08/26 15:07:47 - mmengine - INFO - Epoch(train) [24][15/16] lr: 9.6538e-04 eta: 5:00:51 time: 2.2547 data_time: 0.0941 memory: 63381 loss_text: 0.3399 loss_kernel: 0.1387 loss_embedding: 0.0589 loss: 0.5375 2022/08/26 15:07:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:08:04 - mmengine - INFO - Epoch(train) [25][5/16] lr: 9.6387e-04 eta: 5:00:51 time: 2.5695 data_time: 0.5099 memory: 63381 loss_text: 0.3750 loss_kernel: 0.1500 loss_embedding: 0.0535 loss: 0.5785 2022/08/26 15:08:15 - mmengine - INFO - Epoch(train) [25][10/16] lr: 9.6387e-04 eta: 4:58:27 time: 2.6479 data_time: 0.5164 memory: 63381 loss_text: 0.3819 loss_kernel: 0.1568 loss_embedding: 0.0525 loss: 0.5913 2022/08/26 15:08:26 - mmengine - INFO - Epoch(train) [25][15/16] lr: 9.6387e-04 eta: 4:58:27 time: 2.2618 data_time: 0.0945 memory: 63381 loss_text: 0.3684 loss_kernel: 0.1503 loss_embedding: 0.0551 loss: 0.5738 2022/08/26 15:08:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:08:43 - mmengine - INFO - Epoch(train) [26][5/16] lr: 9.6236e-04 eta: 4:58:27 time: 2.5844 data_time: 0.4821 memory: 63381 loss_text: 0.3394 loss_kernel: 0.1391 loss_embedding: 0.0573 loss: 0.5359 2022/08/26 15:08:55 - mmengine - INFO - Epoch(train) [26][10/16] lr: 9.6236e-04 eta: 4:56:28 time: 2.7197 data_time: 0.5442 memory: 63381 loss_text: 0.3425 loss_kernel: 0.1385 loss_embedding: 0.0582 loss: 0.5392 2022/08/26 15:09:07 - mmengine - INFO - Epoch(train) [26][15/16] lr: 9.6236e-04 eta: 4:56:28 time: 2.3429 data_time: 0.1440 memory: 63381 loss_text: 0.3631 loss_kernel: 0.1478 loss_embedding: 0.0597 loss: 0.5707 2022/08/26 15:09:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:09:23 - mmengine - INFO - Epoch(train) [27][5/16] lr: 9.6085e-04 eta: 4:56:28 time: 2.5864 data_time: 0.4908 memory: 63381 loss_text: 0.3591 loss_kernel: 0.1504 loss_embedding: 0.0559 loss: 0.5654 2022/08/26 15:09:35 - mmengine - INFO - Epoch(train) [27][10/16] lr: 9.6085e-04 eta: 4:54:34 time: 2.7131 data_time: 0.5186 memory: 63381 loss_text: 0.3502 loss_kernel: 0.1477 loss_embedding: 0.0580 loss: 0.5558 2022/08/26 15:09:46 - mmengine - INFO - Epoch(train) [27][15/16] lr: 9.6085e-04 eta: 4:54:34 time: 2.2802 data_time: 0.0946 memory: 63381 loss_text: 0.3547 loss_kernel: 0.1466 loss_embedding: 0.0580 loss: 0.5594 2022/08/26 15:09:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:10:03 - mmengine - INFO - Epoch(train) [28][5/16] lr: 9.5934e-04 eta: 4:54:34 time: 2.5261 data_time: 0.4632 memory: 63381 loss_text: 0.3575 loss_kernel: 0.1441 loss_embedding: 0.0544 loss: 0.5561 2022/08/26 15:10:16 - mmengine - INFO - Epoch(train) [28][10/16] lr: 9.5934e-04 eta: 4:53:06 time: 2.8079 data_time: 0.5766 memory: 63381 loss_text: 0.3444 loss_kernel: 0.1422 loss_embedding: 0.0568 loss: 0.5435 2022/08/26 15:10:27 - mmengine - INFO - Epoch(train) [28][15/16] lr: 9.5934e-04 eta: 4:53:06 time: 2.4487 data_time: 0.1719 memory: 63381 loss_text: 0.3470 loss_kernel: 0.1428 loss_embedding: 0.0515 loss: 0.5413 2022/08/26 15:10:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:10:45 - mmengine - INFO - Epoch(train) [29][5/16] lr: 9.5783e-04 eta: 4:53:06 time: 2.6670 data_time: 0.5230 memory: 63381 loss_text: 0.3671 loss_kernel: 0.1509 loss_embedding: 0.0459 loss: 0.5639 2022/08/26 15:10:57 - mmengine - INFO - Epoch(train) [29][10/16] lr: 9.5783e-04 eta: 4:51:36 time: 2.7712 data_time: 0.5544 memory: 63381 loss_text: 0.3542 loss_kernel: 0.1473 loss_embedding: 0.0531 loss: 0.5546 2022/08/26 15:11:08 - mmengine - INFO - Epoch(train) [29][15/16] lr: 9.5783e-04 eta: 4:51:36 time: 2.3618 data_time: 0.1112 memory: 63381 loss_text: 0.3446 loss_kernel: 0.1428 loss_embedding: 0.0530 loss: 0.5404 2022/08/26 15:11:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:11:25 - mmengine - INFO - Epoch(train) [30][5/16] lr: 9.5632e-04 eta: 4:51:36 time: 2.5519 data_time: 0.4801 memory: 63381 loss_text: 0.3626 loss_kernel: 0.1477 loss_embedding: 0.0505 loss: 0.5608 2022/08/26 15:11:37 - mmengine - INFO - Epoch(train) [30][10/16] lr: 9.5632e-04 eta: 4:49:54 time: 2.6956 data_time: 0.5044 memory: 63381 loss_text: 0.3570 loss_kernel: 0.1473 loss_embedding: 0.0522 loss: 0.5564 2022/08/26 15:11:48 - mmengine - INFO - Epoch(train) [30][15/16] lr: 9.5632e-04 eta: 4:49:54 time: 2.3303 data_time: 0.1029 memory: 63381 loss_text: 0.3393 loss_kernel: 0.1402 loss_embedding: 0.0518 loss: 0.5312 2022/08/26 15:11:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:12:05 - mmengine - INFO - Epoch(train) [31][5/16] lr: 9.5481e-04 eta: 4:49:54 time: 2.5892 data_time: 0.4786 memory: 63381 loss_text: 0.3543 loss_kernel: 0.1381 loss_embedding: 0.0505 loss: 0.5428 2022/08/26 15:12:16 - mmengine - INFO - Epoch(train) [31][10/16] lr: 9.5481e-04 eta: 4:48:07 time: 2.6339 data_time: 0.4991 memory: 63381 loss_text: 0.3562 loss_kernel: 0.1460 loss_embedding: 0.0516 loss: 0.5537 2022/08/26 15:12:27 - mmengine - INFO - Epoch(train) [31][15/16] lr: 9.5481e-04 eta: 4:48:07 time: 2.2288 data_time: 0.0792 memory: 63381 loss_text: 0.3420 loss_kernel: 0.1470 loss_embedding: 0.0502 loss: 0.5391 2022/08/26 15:12:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:12:44 - mmengine - INFO - Epoch(train) [32][5/16] lr: 9.5330e-04 eta: 4:48:07 time: 2.5586 data_time: 0.4590 memory: 63381 loss_text: 0.3329 loss_kernel: 0.1433 loss_embedding: 0.0491 loss: 0.5253 2022/08/26 15:12:56 - mmengine - INFO - Epoch(train) [32][10/16] lr: 9.5330e-04 eta: 4:46:39 time: 2.7186 data_time: 0.5036 memory: 63381 loss_text: 0.3307 loss_kernel: 0.1428 loss_embedding: 0.0458 loss: 0.5192 2022/08/26 15:13:07 - mmengine - INFO - Epoch(train) [32][15/16] lr: 9.5330e-04 eta: 4:46:39 time: 2.3103 data_time: 0.1039 memory: 63381 loss_text: 0.3457 loss_kernel: 0.1445 loss_embedding: 0.0511 loss: 0.5413 2022/08/26 15:13:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:13:26 - mmengine - INFO - Epoch(train) [33][5/16] lr: 9.5179e-04 eta: 4:46:39 time: 2.7381 data_time: 0.5320 memory: 63381 loss_text: 0.3528 loss_kernel: 0.1412 loss_embedding: 0.0523 loss: 0.5462 2022/08/26 15:13:38 - mmengine - INFO - Epoch(train) [33][10/16] lr: 9.5179e-04 eta: 4:45:36 time: 2.8376 data_time: 0.5728 memory: 63381 loss_text: 0.3528 loss_kernel: 0.1437 loss_embedding: 0.0508 loss: 0.5472 2022/08/26 15:13:49 - mmengine - INFO - Epoch(train) [33][15/16] lr: 9.5179e-04 eta: 4:45:36 time: 2.2939 data_time: 0.0948 memory: 63381 loss_text: 0.3549 loss_kernel: 0.1491 loss_embedding: 0.0504 loss: 0.5544 2022/08/26 15:13:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:14:05 - mmengine - INFO - Epoch(train) [34][5/16] lr: 9.5028e-04 eta: 4:45:36 time: 2.4904 data_time: 0.4599 memory: 63381 loss_text: 0.3519 loss_kernel: 0.1430 loss_embedding: 0.0468 loss: 0.5417 2022/08/26 15:14:18 - mmengine - INFO - Epoch(train) [34][10/16] lr: 9.5028e-04 eta: 4:44:14 time: 2.7144 data_time: 0.5033 memory: 63381 loss_text: 0.3513 loss_kernel: 0.1423 loss_embedding: 0.0489 loss: 0.5425 2022/08/26 15:14:29 - mmengine - INFO - Epoch(train) [34][15/16] lr: 9.5028e-04 eta: 4:44:14 time: 2.3206 data_time: 0.1033 memory: 63381 loss_text: 0.3692 loss_kernel: 0.1533 loss_embedding: 0.0479 loss: 0.5704 2022/08/26 15:14:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:14:46 - mmengine - INFO - Epoch(train) [35][5/16] lr: 9.4877e-04 eta: 4:44:14 time: 2.6121 data_time: 0.5141 memory: 63381 loss_text: 0.3634 loss_kernel: 0.1531 loss_embedding: 0.0497 loss: 0.5661 2022/08/26 15:14:58 - mmengine - INFO - Epoch(train) [35][10/16] lr: 9.4877e-04 eta: 4:42:46 time: 2.6518 data_time: 0.5002 memory: 63381 loss_text: 0.3386 loss_kernel: 0.1418 loss_embedding: 0.0553 loss: 0.5356 2022/08/26 15:15:09 - mmengine - INFO - Epoch(train) [35][15/16] lr: 9.4877e-04 eta: 4:42:46 time: 2.2380 data_time: 0.0753 memory: 63381 loss_text: 0.3341 loss_kernel: 0.1410 loss_embedding: 0.0518 loss: 0.5269 2022/08/26 15:15:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:15:25 - mmengine - INFO - Epoch(train) [36][5/16] lr: 9.4726e-04 eta: 4:42:46 time: 2.5491 data_time: 0.4857 memory: 63381 loss_text: 0.3495 loss_kernel: 0.1471 loss_embedding: 0.0472 loss: 0.5437 2022/08/26 15:15:37 - mmengine - INFO - Epoch(train) [36][10/16] lr: 9.4726e-04 eta: 4:41:19 time: 2.6460 data_time: 0.4861 memory: 63381 loss_text: 0.3528 loss_kernel: 0.1495 loss_embedding: 0.0479 loss: 0.5503 2022/08/26 15:15:48 - mmengine - INFO - Epoch(train) [36][15/16] lr: 9.4726e-04 eta: 4:41:19 time: 2.2475 data_time: 0.0772 memory: 63381 loss_text: 0.3333 loss_kernel: 0.1392 loss_embedding: 0.0475 loss: 0.5200 2022/08/26 15:15:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:16:06 - mmengine - INFO - Epoch(train) [37][5/16] lr: 9.4574e-04 eta: 4:41:19 time: 2.6251 data_time: 0.4730 memory: 63381 loss_text: 0.3314 loss_kernel: 0.1383 loss_embedding: 0.0536 loss: 0.5233 2022/08/26 15:16:19 - mmengine - INFO - Epoch(train) [37][10/16] lr: 9.4574e-04 eta: 4:40:26 time: 2.8373 data_time: 0.5208 memory: 63381 loss_text: 0.3225 loss_kernel: 0.1344 loss_embedding: 0.0515 loss: 0.5084 2022/08/26 15:16:30 - mmengine - INFO - Epoch(train) [37][15/16] lr: 9.4574e-04 eta: 4:40:26 time: 2.4109 data_time: 0.1016 memory: 63381 loss_text: 0.3325 loss_kernel: 0.1372 loss_embedding: 0.0500 loss: 0.5197 2022/08/26 15:16:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:16:47 - mmengine - INFO - Epoch(train) [38][5/16] lr: 9.4423e-04 eta: 4:40:26 time: 2.6120 data_time: 0.5498 memory: 63381 loss_text: 0.3336 loss_kernel: 0.1391 loss_embedding: 0.0454 loss: 0.5182 2022/08/26 15:16:59 - mmengine - INFO - Epoch(train) [38][10/16] lr: 9.4423e-04 eta: 4:39:20 time: 2.7480 data_time: 0.5750 memory: 63381 loss_text: 0.3346 loss_kernel: 0.1440 loss_embedding: 0.0447 loss: 0.5233 2022/08/26 15:17:11 - mmengine - INFO - Epoch(train) [38][15/16] lr: 9.4423e-04 eta: 4:39:20 time: 2.3621 data_time: 0.0789 memory: 63381 loss_text: 0.3379 loss_kernel: 0.1467 loss_embedding: 0.0456 loss: 0.5302 2022/08/26 15:17:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:17:28 - mmengine - INFO - Epoch(train) [39][5/16] lr: 9.4272e-04 eta: 4:39:20 time: 2.6877 data_time: 0.5299 memory: 63381 loss_text: 0.3179 loss_kernel: 0.1324 loss_embedding: 0.0480 loss: 0.4984 2022/08/26 15:17:40 - mmengine - INFO - Epoch(train) [39][10/16] lr: 9.4272e-04 eta: 4:38:28 time: 2.8223 data_time: 0.5714 memory: 63381 loss_text: 0.3161 loss_kernel: 0.1325 loss_embedding: 0.0503 loss: 0.4989 2022/08/26 15:17:51 - mmengine - INFO - Epoch(train) [39][15/16] lr: 9.4272e-04 eta: 4:38:28 time: 2.3378 data_time: 0.0811 memory: 63381 loss_text: 0.3266 loss_kernel: 0.1374 loss_embedding: 0.0471 loss: 0.5111 2022/08/26 15:17:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:18:08 - mmengine - INFO - Epoch(train) [40][5/16] lr: 9.4121e-04 eta: 4:38:28 time: 2.5975 data_time: 0.4868 memory: 63381 loss_text: 0.2948 loss_kernel: 0.1271 loss_embedding: 0.0450 loss: 0.4669 2022/08/26 15:18:21 - mmengine - INFO - Epoch(train) [40][10/16] lr: 9.4121e-04 eta: 4:37:26 time: 2.7549 data_time: 0.5026 memory: 63381 loss_text: 0.3053 loss_kernel: 0.1314 loss_embedding: 0.0465 loss: 0.4832 2022/08/26 15:18:32 - mmengine - INFO - Epoch(train) [40][15/16] lr: 9.4121e-04 eta: 4:37:26 time: 2.3686 data_time: 0.0789 memory: 63381 loss_text: 0.3300 loss_kernel: 0.1382 loss_embedding: 0.0453 loss: 0.5135 2022/08/26 15:18:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:18:33 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/26 15:18:37 - mmengine - INFO - Epoch(val) [40][5/500] eta: 4:37:26 time: 0.0722 data_time: 0.0204 memory: 39748 2022/08/26 15:18:37 - mmengine - INFO - Epoch(val) [40][10/500] eta: 0:00:36 time: 0.0744 data_time: 0.0202 memory: 661 2022/08/26 15:18:37 - mmengine - INFO - Epoch(val) [40][15/500] eta: 0:00:36 time: 0.0236 data_time: 0.0020 memory: 661 2022/08/26 15:18:37 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:00:10 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 15:18:37 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:00:10 time: 0.0209 data_time: 0.0019 memory: 661 2022/08/26 15:18:38 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:00:10 time: 0.0230 data_time: 0.0020 memory: 661 2022/08/26 15:18:38 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:00:10 time: 0.0234 data_time: 0.0019 memory: 661 2022/08/26 15:18:38 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:00:11 time: 0.0240 data_time: 0.0018 memory: 661 2022/08/26 15:18:38 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:00:11 time: 0.0249 data_time: 0.0018 memory: 661 2022/08/26 15:18:38 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:00:09 time: 0.0222 data_time: 0.0017 memory: 661 2022/08/26 15:18:38 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:00:09 time: 0.0211 data_time: 0.0017 memory: 661 2022/08/26 15:18:38 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:00:09 time: 0.0212 data_time: 0.0021 memory: 661 2022/08/26 15:18:38 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:00:09 time: 0.0230 data_time: 0.0022 memory: 661 2022/08/26 15:18:38 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:00:10 time: 0.0236 data_time: 0.0021 memory: 661 2022/08/26 15:18:39 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:00:10 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 15:18:39 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:00:08 time: 0.0203 data_time: 0.0021 memory: 661 2022/08/26 15:18:39 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:00:08 time: 0.0197 data_time: 0.0022 memory: 661 2022/08/26 15:18:39 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:00:09 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 15:18:39 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:00:09 time: 0.0240 data_time: 0.0021 memory: 661 2022/08/26 15:18:39 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:00:08 time: 0.0220 data_time: 0.0022 memory: 661 2022/08/26 15:18:39 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:00:08 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 15:18:39 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:00:08 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 15:18:39 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:00:08 time: 0.0228 data_time: 0.0023 memory: 661 2022/08/26 15:18:40 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:08 time: 0.0236 data_time: 0.0024 memory: 661 2022/08/26 15:18:40 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:08 time: 0.0226 data_time: 0.0023 memory: 661 2022/08/26 15:18:40 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:00:08 time: 0.0220 data_time: 0.0023 memory: 661 2022/08/26 15:18:40 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:00:08 time: 0.0230 data_time: 0.0024 memory: 661 2022/08/26 15:18:40 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:08 time: 0.0239 data_time: 0.0026 memory: 661 2022/08/26 15:18:40 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:08 time: 0.0239 data_time: 0.0025 memory: 661 2022/08/26 15:18:40 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:00:08 time: 0.0246 data_time: 0.0023 memory: 661 2022/08/26 15:18:40 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:00:08 time: 0.0267 data_time: 0.0022 memory: 661 2022/08/26 15:18:41 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:00:09 time: 0.0272 data_time: 0.0021 memory: 661 2022/08/26 15:18:41 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:00:09 time: 0.0255 data_time: 0.0021 memory: 661 2022/08/26 15:18:41 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:00:07 time: 0.0242 data_time: 0.0021 memory: 661 2022/08/26 15:18:41 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:00:07 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 15:18:41 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:07 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 15:18:41 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:07 time: 0.0239 data_time: 0.0020 memory: 661 2022/08/26 15:18:41 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:00:07 time: 0.0240 data_time: 0.0020 memory: 661 2022/08/26 15:18:41 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:00:07 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 15:18:42 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:00:07 time: 0.0251 data_time: 0.0026 memory: 661 2022/08/26 15:18:42 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:00:07 time: 0.0250 data_time: 0.0025 memory: 661 2022/08/26 15:18:42 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:00:06 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 15:18:42 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:00:06 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 15:18:42 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:00:06 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 15:18:42 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:00:06 time: 0.0234 data_time: 0.0021 memory: 661 2022/08/26 15:18:42 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:00:05 time: 0.0222 data_time: 0.0022 memory: 661 2022/08/26 15:18:42 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:00:05 time: 0.0220 data_time: 0.0023 memory: 661 2022/08/26 15:18:42 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:05 time: 0.0230 data_time: 0.0021 memory: 661 2022/08/26 15:18:43 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:05 time: 0.0214 data_time: 0.0021 memory: 661 2022/08/26 15:18:43 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:05 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 15:18:43 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:05 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 15:18:43 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:00:04 time: 0.0207 data_time: 0.0021 memory: 661 2022/08/26 15:18:43 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:00:04 time: 0.0211 data_time: 0.0021 memory: 661 2022/08/26 15:18:43 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:00:05 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 15:18:43 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:00:05 time: 0.0211 data_time: 0.0022 memory: 661 2022/08/26 15:18:43 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:00:04 time: 0.0223 data_time: 0.0022 memory: 661 2022/08/26 15:18:43 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:00:04 time: 0.0223 data_time: 0.0022 memory: 661 2022/08/26 15:18:44 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:00:04 time: 0.0223 data_time: 0.0022 memory: 661 2022/08/26 15:18:44 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:00:04 time: 0.0230 data_time: 0.0023 memory: 661 2022/08/26 15:18:44 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:04 time: 0.0221 data_time: 0.0022 memory: 661 2022/08/26 15:18:44 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:04 time: 0.0222 data_time: 0.0021 memory: 661 2022/08/26 15:18:44 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:04 time: 0.0221 data_time: 0.0022 memory: 661 2022/08/26 15:18:44 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:04 time: 0.0240 data_time: 0.0022 memory: 661 2022/08/26 15:18:44 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:04 time: 0.0244 data_time: 0.0022 memory: 661 2022/08/26 15:18:44 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:04 time: 0.0303 data_time: 0.0022 memory: 661 2022/08/26 15:18:45 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:05 time: 0.0295 data_time: 0.0022 memory: 661 2022/08/26 15:18:45 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:05 time: 0.0206 data_time: 0.0022 memory: 661 2022/08/26 15:18:45 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:04 time: 0.0259 data_time: 0.0022 memory: 661 2022/08/26 15:18:45 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:04 time: 0.0269 data_time: 0.0022 memory: 661 2022/08/26 15:18:45 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:03 time: 0.0249 data_time: 0.0022 memory: 661 2022/08/26 15:18:45 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:03 time: 0.0242 data_time: 0.0022 memory: 661 2022/08/26 15:18:45 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:02 time: 0.0207 data_time: 0.0022 memory: 661 2022/08/26 15:18:45 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:02 time: 0.0214 data_time: 0.0022 memory: 661 2022/08/26 15:18:45 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:00:02 time: 0.0208 data_time: 0.0023 memory: 661 2022/08/26 15:18:46 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:00:02 time: 0.0204 data_time: 0.0023 memory: 661 2022/08/26 15:18:46 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:02 time: 0.0233 data_time: 0.0021 memory: 661 2022/08/26 15:18:46 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:02 time: 0.0243 data_time: 0.0021 memory: 661 2022/08/26 15:18:46 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:02 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 15:18:46 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:02 time: 0.0239 data_time: 0.0024 memory: 661 2022/08/26 15:18:46 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:02 time: 0.0243 data_time: 0.0025 memory: 661 2022/08/26 15:18:46 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:02 time: 0.0236 data_time: 0.0022 memory: 661 2022/08/26 15:18:46 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:02 time: 0.0239 data_time: 0.0022 memory: 661 2022/08/26 15:18:46 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:02 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 15:18:47 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:01 time: 0.0207 data_time: 0.0022 memory: 661 2022/08/26 15:18:47 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:01 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 15:18:47 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:01 time: 0.0225 data_time: 0.0020 memory: 661 2022/08/26 15:18:47 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:01 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 15:18:47 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:01 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 15:18:47 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:01 time: 0.0235 data_time: 0.0021 memory: 661 2022/08/26 15:18:47 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:01 time: 0.0247 data_time: 0.0021 memory: 661 2022/08/26 15:18:47 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:01 time: 0.0245 data_time: 0.0020 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:00 time: 0.0225 data_time: 0.0020 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:00 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:00 time: 0.0213 data_time: 0.0021 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:00 time: 0.0207 data_time: 0.0021 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:00 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:00 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0238 data_time: 0.0020 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0246 data_time: 0.0020 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 15:18:48 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.5883, precision: 0.5718, hmean: 0.5800 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.5883, precision: 0.5718, hmean: 0.5800 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.5883, precision: 0.5718, hmean: 0.5800 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.5883, precision: 0.5718, hmean: 0.5800 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.5883, precision: 0.5718, hmean: 0.5800 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.5883, precision: 0.5751, hmean: 0.5816 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.5879, precision: 0.5979, hmean: 0.5929 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.5850, precision: 0.6286, hmean: 0.6060 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.5792, precision: 0.6628, hmean: 0.6182 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.5696, precision: 0.6886, hmean: 0.6235 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.5571, precision: 0.7160, hmean: 0.6266 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.5277, precision: 0.7553, hmean: 0.6213 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.4444, precision: 0.8012, hmean: 0.5717 2022/08/26 15:18:48 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.1266, precision: 0.8680, hmean: 0.2210 2022/08/26 15:18:48 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.7160 icdar/recall: 0.5571 icdar/hmean: 0.6266 2022/08/26 15:19:05 - mmengine - INFO - Epoch(train) [41][5/16] lr: 9.3969e-04 eta: 0:00:00 time: 2.6179 data_time: 0.5175 memory: 63381 loss_text: 0.3458 loss_kernel: 0.1513 loss_embedding: 0.0416 loss: 0.5387 2022/08/26 15:19:17 - mmengine - INFO - Epoch(train) [41][10/16] lr: 9.3969e-04 eta: 4:36:38 time: 2.8337 data_time: 0.5628 memory: 63381 loss_text: 0.3302 loss_kernel: 0.1460 loss_embedding: 0.0406 loss: 0.5168 2022/08/26 15:19:28 - mmengine - INFO - Epoch(train) [41][15/16] lr: 9.3969e-04 eta: 4:36:38 time: 2.3620 data_time: 0.1169 memory: 63381 loss_text: 0.3227 loss_kernel: 0.1371 loss_embedding: 0.0440 loss: 0.5038 2022/08/26 15:19:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:19:46 - mmengine - INFO - Epoch(train) [42][5/16] lr: 9.3818e-04 eta: 4:36:38 time: 2.6525 data_time: 0.5152 memory: 63381 loss_text: 0.3125 loss_kernel: 0.1315 loss_embedding: 0.0445 loss: 0.4885 2022/08/26 15:19:57 - mmengine - INFO - Epoch(train) [42][10/16] lr: 9.3818e-04 eta: 4:35:34 time: 2.7114 data_time: 0.5264 memory: 63381 loss_text: 0.3143 loss_kernel: 0.1342 loss_embedding: 0.0415 loss: 0.4901 2022/08/26 15:20:08 - mmengine - INFO - Epoch(train) [42][15/16] lr: 9.3818e-04 eta: 4:35:34 time: 2.2191 data_time: 0.0737 memory: 63381 loss_text: 0.3316 loss_kernel: 0.1420 loss_embedding: 0.0411 loss: 0.5147 2022/08/26 15:20:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:20:25 - mmengine - INFO - Epoch(train) [43][5/16] lr: 9.3667e-04 eta: 4:35:34 time: 2.5752 data_time: 0.4801 memory: 63381 loss_text: 0.3375 loss_kernel: 0.1450 loss_embedding: 0.0402 loss: 0.5227 2022/08/26 15:20:37 - mmengine - INFO - Epoch(train) [43][10/16] lr: 9.3667e-04 eta: 4:34:37 time: 2.7499 data_time: 0.5245 memory: 63381 loss_text: 0.3207 loss_kernel: 0.1358 loss_embedding: 0.0403 loss: 0.4968 2022/08/26 15:20:48 - mmengine - INFO - Epoch(train) [43][15/16] lr: 9.3667e-04 eta: 4:34:37 time: 2.3076 data_time: 0.0889 memory: 63381 loss_text: 0.3231 loss_kernel: 0.1378 loss_embedding: 0.0443 loss: 0.5052 2022/08/26 15:20:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:21:05 - mmengine - INFO - Epoch(train) [44][5/16] lr: 9.3515e-04 eta: 4:34:37 time: 2.5799 data_time: 0.4694 memory: 63381 loss_text: 0.3342 loss_kernel: 0.1450 loss_embedding: 0.0406 loss: 0.5199 2022/08/26 15:21:17 - mmengine - INFO - Epoch(train) [44][10/16] lr: 9.3515e-04 eta: 4:33:30 time: 2.6629 data_time: 0.5191 memory: 63381 loss_text: 0.3165 loss_kernel: 0.1375 loss_embedding: 0.0386 loss: 0.4926 2022/08/26 15:21:28 - mmengine - INFO - Epoch(train) [44][15/16] lr: 9.3515e-04 eta: 4:33:30 time: 2.2593 data_time: 0.1085 memory: 63381 loss_text: 0.3012 loss_kernel: 0.1305 loss_embedding: 0.0408 loss: 0.4725 2022/08/26 15:21:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:21:46 - mmengine - INFO - Epoch(train) [45][5/16] lr: 9.3364e-04 eta: 4:33:30 time: 2.7222 data_time: 0.5269 memory: 63381 loss_text: 0.3033 loss_kernel: 0.1301 loss_embedding: 0.0415 loss: 0.4748 2022/08/26 15:21:57 - mmengine - INFO - Epoch(train) [45][10/16] lr: 9.3364e-04 eta: 4:32:36 time: 2.7525 data_time: 0.5274 memory: 63381 loss_text: 0.3190 loss_kernel: 0.1334 loss_embedding: 0.0420 loss: 0.4943 2022/08/26 15:22:08 - mmengine - INFO - Epoch(train) [45][15/16] lr: 9.3364e-04 eta: 4:32:36 time: 2.2256 data_time: 0.0793 memory: 63381 loss_text: 0.3237 loss_kernel: 0.1383 loss_embedding: 0.0415 loss: 0.5035 2022/08/26 15:22:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:22:26 - mmengine - INFO - Epoch(train) [46][5/16] lr: 9.3213e-04 eta: 4:32:36 time: 2.6119 data_time: 0.5002 memory: 63381 loss_text: 0.3164 loss_kernel: 0.1365 loss_embedding: 0.0405 loss: 0.4934 2022/08/26 15:22:37 - mmengine - INFO - Epoch(train) [46][10/16] lr: 9.3213e-04 eta: 4:31:38 time: 2.7149 data_time: 0.5083 memory: 63381 loss_text: 0.3192 loss_kernel: 0.1368 loss_embedding: 0.0358 loss: 0.4918 2022/08/26 15:22:48 - mmengine - INFO - Epoch(train) [46][15/16] lr: 9.3213e-04 eta: 4:31:38 time: 2.2286 data_time: 0.0737 memory: 63381 loss_text: 0.3272 loss_kernel: 0.1415 loss_embedding: 0.0361 loss: 0.5048 2022/08/26 15:22:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:23:06 - mmengine - INFO - Epoch(train) [47][5/16] lr: 9.3061e-04 eta: 4:31:38 time: 2.6127 data_time: 0.5305 memory: 63381 loss_text: 0.3192 loss_kernel: 0.1348 loss_embedding: 0.0408 loss: 0.4949 2022/08/26 15:23:17 - mmengine - INFO - Epoch(train) [47][10/16] lr: 9.3061e-04 eta: 4:30:48 time: 2.7678 data_time: 0.5631 memory: 63381 loss_text: 0.3167 loss_kernel: 0.1319 loss_embedding: 0.0365 loss: 0.4851 2022/08/26 15:23:28 - mmengine - INFO - Epoch(train) [47][15/16] lr: 9.3061e-04 eta: 4:30:48 time: 2.2315 data_time: 0.0811 memory: 63381 loss_text: 0.3191 loss_kernel: 0.1352 loss_embedding: 0.0382 loss: 0.4925 2022/08/26 15:23:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:23:46 - mmengine - INFO - Epoch(train) [48][5/16] lr: 9.2910e-04 eta: 4:30:48 time: 2.6202 data_time: 0.5426 memory: 63381 loss_text: 0.3091 loss_kernel: 0.1355 loss_embedding: 0.0389 loss: 0.4835 2022/08/26 15:23:58 - mmengine - INFO - Epoch(train) [48][10/16] lr: 9.2910e-04 eta: 4:30:03 time: 2.8020 data_time: 0.6089 memory: 63381 loss_text: 0.3026 loss_kernel: 0.1332 loss_embedding: 0.0357 loss: 0.4716 2022/08/26 15:24:09 - mmengine - INFO - Epoch(train) [48][15/16] lr: 9.2910e-04 eta: 4:30:03 time: 2.3030 data_time: 0.1120 memory: 63381 loss_text: 0.3051 loss_kernel: 0.1324 loss_embedding: 0.0383 loss: 0.4758 2022/08/26 15:24:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:24:27 - mmengine - INFO - Epoch(train) [49][5/16] lr: 9.2758e-04 eta: 4:30:03 time: 2.6757 data_time: 0.5220 memory: 63381 loss_text: 0.3009 loss_kernel: 0.1327 loss_embedding: 0.0423 loss: 0.4759 2022/08/26 15:24:38 - mmengine - INFO - Epoch(train) [49][10/16] lr: 9.2758e-04 eta: 4:29:17 time: 2.7826 data_time: 0.5698 memory: 63381 loss_text: 0.3060 loss_kernel: 0.1389 loss_embedding: 0.0397 loss: 0.4847 2022/08/26 15:24:50 - mmengine - INFO - Epoch(train) [49][15/16] lr: 9.2758e-04 eta: 4:29:17 time: 2.2825 data_time: 0.0887 memory: 63381 loss_text: 0.3064 loss_kernel: 0.1359 loss_embedding: 0.0336 loss: 0.4758 2022/08/26 15:24:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:25:07 - mmengine - INFO - Epoch(train) [50][5/16] lr: 9.2607e-04 eta: 4:29:17 time: 2.6429 data_time: 0.5218 memory: 63381 loss_text: 0.3074 loss_kernel: 0.1378 loss_embedding: 0.0345 loss: 0.4798 2022/08/26 15:25:19 - mmengine - INFO - Epoch(train) [50][10/16] lr: 9.2607e-04 eta: 4:28:27 time: 2.7470 data_time: 0.5876 memory: 63381 loss_text: 0.3014 loss_kernel: 0.1346 loss_embedding: 0.0351 loss: 0.4711 2022/08/26 15:25:30 - mmengine - INFO - Epoch(train) [50][15/16] lr: 9.2607e-04 eta: 4:28:27 time: 2.3010 data_time: 0.1144 memory: 63381 loss_text: 0.3079 loss_kernel: 0.1365 loss_embedding: 0.0342 loss: 0.4787 2022/08/26 15:25:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:25:47 - mmengine - INFO - Epoch(train) [51][5/16] lr: 9.2455e-04 eta: 4:28:27 time: 2.5027 data_time: 0.4705 memory: 63381 loss_text: 0.3134 loss_kernel: 0.1434 loss_embedding: 0.0335 loss: 0.4903 2022/08/26 15:25:59 - mmengine - INFO - Epoch(train) [51][10/16] lr: 9.2455e-04 eta: 4:27:35 time: 2.7148 data_time: 0.5079 memory: 63381 loss_text: 0.3023 loss_kernel: 0.1354 loss_embedding: 0.0352 loss: 0.4729 2022/08/26 15:26:10 - mmengine - INFO - Epoch(train) [51][15/16] lr: 9.2455e-04 eta: 4:27:35 time: 2.2844 data_time: 0.0861 memory: 63381 loss_text: 0.3074 loss_kernel: 0.1361 loss_embedding: 0.0360 loss: 0.4795 2022/08/26 15:26:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:26:27 - mmengine - INFO - Epoch(train) [52][5/16] lr: 9.2304e-04 eta: 4:27:35 time: 2.5763 data_time: 0.4805 memory: 63381 loss_text: 0.2867 loss_kernel: 0.1254 loss_embedding: 0.0363 loss: 0.4484 2022/08/26 15:26:39 - mmengine - INFO - Epoch(train) [52][10/16] lr: 9.2304e-04 eta: 4:26:43 time: 2.7029 data_time: 0.5035 memory: 63381 loss_text: 0.3011 loss_kernel: 0.1325 loss_embedding: 0.0372 loss: 0.4709 2022/08/26 15:26:50 - mmengine - INFO - Epoch(train) [52][15/16] lr: 9.2304e-04 eta: 4:26:43 time: 2.2846 data_time: 0.0799 memory: 63381 loss_text: 0.3015 loss_kernel: 0.1319 loss_embedding: 0.0373 loss: 0.4707 2022/08/26 15:26:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:27:07 - mmengine - INFO - Epoch(train) [53][5/16] lr: 9.2152e-04 eta: 4:26:43 time: 2.6359 data_time: 0.5138 memory: 63381 loss_text: 0.2850 loss_kernel: 0.1268 loss_embedding: 0.0411 loss: 0.4529 2022/08/26 15:27:19 - mmengine - INFO - Epoch(train) [53][10/16] lr: 9.2152e-04 eta: 4:25:54 time: 2.7367 data_time: 0.5402 memory: 63381 loss_text: 0.2961 loss_kernel: 0.1313 loss_embedding: 0.0404 loss: 0.4678 2022/08/26 15:27:30 - mmengine - INFO - Epoch(train) [53][15/16] lr: 9.2152e-04 eta: 4:25:54 time: 2.2665 data_time: 0.0843 memory: 63381 loss_text: 0.3018 loss_kernel: 0.1370 loss_embedding: 0.0370 loss: 0.4759 2022/08/26 15:27:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:27:48 - mmengine - INFO - Epoch(train) [54][5/16] lr: 9.2000e-04 eta: 4:25:54 time: 2.6220 data_time: 0.5012 memory: 63381 loss_text: 0.3049 loss_kernel: 0.1365 loss_embedding: 0.0331 loss: 0.4744 2022/08/26 15:28:00 - mmengine - INFO - Epoch(train) [54][10/16] lr: 9.2000e-04 eta: 4:25:09 time: 2.7589 data_time: 0.5292 memory: 63381 loss_text: 0.3172 loss_kernel: 0.1359 loss_embedding: 0.0334 loss: 0.4866 2022/08/26 15:28:11 - mmengine - INFO - Epoch(train) [54][15/16] lr: 9.2000e-04 eta: 4:25:09 time: 2.3292 data_time: 0.1017 memory: 63381 loss_text: 0.3175 loss_kernel: 0.1385 loss_embedding: 0.0354 loss: 0.4915 2022/08/26 15:28:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:28:28 - mmengine - INFO - Epoch(train) [55][5/16] lr: 9.1849e-04 eta: 4:25:09 time: 2.5902 data_time: 0.5001 memory: 63381 loss_text: 0.3004 loss_kernel: 0.1314 loss_embedding: 0.0329 loss: 0.4647 2022/08/26 15:28:40 - mmengine - INFO - Epoch(train) [55][10/16] lr: 9.1849e-04 eta: 4:24:24 time: 2.7456 data_time: 0.5230 memory: 63381 loss_text: 0.2853 loss_kernel: 0.1238 loss_embedding: 0.0367 loss: 0.4458 2022/08/26 15:28:52 - mmengine - INFO - Epoch(train) [55][15/16] lr: 9.1849e-04 eta: 4:24:24 time: 2.3478 data_time: 0.0858 memory: 63381 loss_text: 0.2880 loss_kernel: 0.1333 loss_embedding: 0.0340 loss: 0.4553 2022/08/26 15:28:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:29:09 - mmengine - INFO - Epoch(train) [56][5/16] lr: 9.1697e-04 eta: 4:24:24 time: 2.6146 data_time: 0.5125 memory: 63381 loss_text: 0.3017 loss_kernel: 0.1374 loss_embedding: 0.0309 loss: 0.4700 2022/08/26 15:29:21 - mmengine - INFO - Epoch(train) [56][10/16] lr: 9.1697e-04 eta: 4:23:39 time: 2.7512 data_time: 0.5349 memory: 63381 loss_text: 0.3133 loss_kernel: 0.1406 loss_embedding: 0.0319 loss: 0.4858 2022/08/26 15:29:32 - mmengine - INFO - Epoch(train) [56][15/16] lr: 9.1697e-04 eta: 4:23:39 time: 2.3666 data_time: 0.0872 memory: 63381 loss_text: 0.3008 loss_kernel: 0.1317 loss_embedding: 0.0355 loss: 0.4680 2022/08/26 15:29:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:29:49 - mmengine - INFO - Epoch(train) [57][5/16] lr: 9.1545e-04 eta: 4:23:39 time: 2.5940 data_time: 0.4614 memory: 63381 loss_text: 0.2848 loss_kernel: 0.1268 loss_embedding: 0.0349 loss: 0.4465 2022/08/26 15:30:01 - mmengine - INFO - Epoch(train) [57][10/16] lr: 9.1545e-04 eta: 4:22:51 time: 2.7065 data_time: 0.4851 memory: 63381 loss_text: 0.2811 loss_kernel: 0.1258 loss_embedding: 0.0339 loss: 0.4407 2022/08/26 15:30:13 - mmengine - INFO - Epoch(train) [57][15/16] lr: 9.1545e-04 eta: 4:22:51 time: 2.3674 data_time: 0.0946 memory: 63381 loss_text: 0.3139 loss_kernel: 0.1392 loss_embedding: 0.0334 loss: 0.4864 2022/08/26 15:30:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:30:30 - mmengine - INFO - Epoch(train) [58][5/16] lr: 9.1393e-04 eta: 4:22:51 time: 2.6174 data_time: 0.4924 memory: 63381 loss_text: 0.2884 loss_kernel: 0.1290 loss_embedding: 0.0324 loss: 0.4498 2022/08/26 15:30:42 - mmengine - INFO - Epoch(train) [58][10/16] lr: 9.1393e-04 eta: 4:22:09 time: 2.7671 data_time: 0.5313 memory: 63381 loss_text: 0.3008 loss_kernel: 0.1317 loss_embedding: 0.0333 loss: 0.4657 2022/08/26 15:30:54 - mmengine - INFO - Epoch(train) [58][15/16] lr: 9.1393e-04 eta: 4:22:09 time: 2.4332 data_time: 0.1058 memory: 63381 loss_text: 0.2909 loss_kernel: 0.1288 loss_embedding: 0.0328 loss: 0.4524 2022/08/26 15:30:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:31:11 - mmengine - INFO - Epoch(train) [59][5/16] lr: 9.1242e-04 eta: 4:22:09 time: 2.6577 data_time: 0.4710 memory: 63381 loss_text: 0.3011 loss_kernel: 0.1292 loss_embedding: 0.0327 loss: 0.4630 2022/08/26 15:31:22 - mmengine - INFO - Epoch(train) [59][10/16] lr: 9.1242e-04 eta: 4:21:19 time: 2.6744 data_time: 0.4860 memory: 63381 loss_text: 0.3012 loss_kernel: 0.1313 loss_embedding: 0.0352 loss: 0.4677 2022/08/26 15:31:34 - mmengine - INFO - Epoch(train) [59][15/16] lr: 9.1242e-04 eta: 4:21:19 time: 2.3134 data_time: 0.0962 memory: 63381 loss_text: 0.2865 loss_kernel: 0.1282 loss_embedding: 0.0350 loss: 0.4497 2022/08/26 15:31:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:31:50 - mmengine - INFO - Epoch(train) [60][5/16] lr: 9.1090e-04 eta: 4:21:19 time: 2.5721 data_time: 0.4410 memory: 63381 loss_text: 0.2870 loss_kernel: 0.1340 loss_embedding: 0.0364 loss: 0.4574 2022/08/26 15:32:02 - mmengine - INFO - Epoch(train) [60][10/16] lr: 9.1090e-04 eta: 4:20:29 time: 2.6558 data_time: 0.4830 memory: 63381 loss_text: 0.2975 loss_kernel: 0.1355 loss_embedding: 0.0369 loss: 0.4699 2022/08/26 15:32:13 - mmengine - INFO - Epoch(train) [60][15/16] lr: 9.1090e-04 eta: 4:20:29 time: 2.3019 data_time: 0.0922 memory: 63381 loss_text: 0.3073 loss_kernel: 0.1367 loss_embedding: 0.0353 loss: 0.4793 2022/08/26 15:32:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:32:15 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/26 15:32:18 - mmengine - INFO - Epoch(val) [60][5/500] eta: 4:20:29 time: 0.0539 data_time: 0.0163 memory: 39748 2022/08/26 15:32:18 - mmengine - INFO - Epoch(val) [60][10/500] eta: 0:00:27 time: 0.0564 data_time: 0.0163 memory: 661 2022/08/26 15:32:18 - mmengine - INFO - Epoch(val) [60][15/500] eta: 0:00:27 time: 0.0244 data_time: 0.0022 memory: 661 2022/08/26 15:32:19 - mmengine - INFO - Epoch(val) [60][20/500] eta: 0:00:11 time: 0.0237 data_time: 0.0022 memory: 661 2022/08/26 15:32:19 - mmengine - INFO - Epoch(val) [60][25/500] eta: 0:00:11 time: 0.0228 data_time: 0.0022 memory: 661 2022/08/26 15:32:19 - mmengine - INFO - Epoch(val) [60][30/500] eta: 0:00:11 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 15:32:19 - mmengine - INFO - Epoch(val) [60][35/500] eta: 0:00:11 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 15:32:19 - mmengine - INFO - Epoch(val) [60][40/500] eta: 0:00:11 time: 0.0246 data_time: 0.0020 memory: 661 2022/08/26 15:32:19 - mmengine - INFO - Epoch(val) [60][45/500] eta: 0:00:11 time: 0.0259 data_time: 0.0021 memory: 661 2022/08/26 15:32:19 - mmengine - INFO - Epoch(val) [60][50/500] eta: 0:00:10 time: 0.0234 data_time: 0.0021 memory: 661 2022/08/26 15:32:19 - mmengine - INFO - Epoch(val) [60][55/500] eta: 0:00:10 time: 0.0231 data_time: 0.0021 memory: 661 2022/08/26 15:32:20 - mmengine - INFO - Epoch(val) [60][60/500] eta: 0:00:09 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 15:32:20 - mmengine - INFO - Epoch(val) [60][65/500] eta: 0:00:09 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 15:32:20 - mmengine - INFO - Epoch(val) [60][70/500] eta: 0:00:10 time: 0.0240 data_time: 0.0021 memory: 661 2022/08/26 15:32:20 - mmengine - INFO - Epoch(val) [60][75/500] eta: 0:00:10 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 15:32:20 - mmengine - INFO - Epoch(val) [60][80/500] eta: 0:00:08 time: 0.0205 data_time: 0.0021 memory: 661 2022/08/26 15:32:20 - mmengine - INFO - Epoch(val) [60][85/500] eta: 0:00:08 time: 0.0198 data_time: 0.0021 memory: 661 2022/08/26 15:32:20 - mmengine - INFO - Epoch(val) [60][90/500] eta: 0:00:09 time: 0.0230 data_time: 0.0020 memory: 661 2022/08/26 15:32:20 - mmengine - INFO - Epoch(val) [60][95/500] eta: 0:00:09 time: 0.0249 data_time: 0.0022 memory: 661 2022/08/26 15:32:20 - mmengine - INFO - Epoch(val) [60][100/500] eta: 0:00:08 time: 0.0221 data_time: 0.0022 memory: 661 2022/08/26 15:32:21 - mmengine - INFO - Epoch(val) [60][105/500] eta: 0:00:08 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 15:32:21 - mmengine - INFO - Epoch(val) [60][110/500] eta: 0:00:08 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 15:32:21 - mmengine - INFO - Epoch(val) [60][115/500] eta: 0:00:08 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 15:32:21 - mmengine - INFO - Epoch(val) [60][120/500] eta: 0:00:09 time: 0.0247 data_time: 0.0023 memory: 661 2022/08/26 15:32:21 - mmengine - INFO - Epoch(val) [60][125/500] eta: 0:00:09 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 15:32:21 - mmengine - INFO - Epoch(val) [60][130/500] eta: 0:00:07 time: 0.0211 data_time: 0.0021 memory: 661 2022/08/26 15:32:21 - mmengine - INFO - Epoch(val) [60][135/500] eta: 0:00:07 time: 0.0216 data_time: 0.0023 memory: 661 2022/08/26 15:32:21 - mmengine - INFO - Epoch(val) [60][140/500] eta: 0:00:08 time: 0.0224 data_time: 0.0023 memory: 661 2022/08/26 15:32:21 - mmengine - INFO - Epoch(val) [60][145/500] eta: 0:00:08 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 15:32:22 - mmengine - INFO - Epoch(val) [60][150/500] eta: 0:00:08 time: 0.0231 data_time: 0.0022 memory: 661 2022/08/26 15:32:22 - mmengine - INFO - Epoch(val) [60][155/500] eta: 0:00:08 time: 0.0263 data_time: 0.0021 memory: 661 2022/08/26 15:32:22 - mmengine - INFO - Epoch(val) [60][160/500] eta: 0:00:09 time: 0.0267 data_time: 0.0020 memory: 661 2022/08/26 15:32:22 - mmengine - INFO - Epoch(val) [60][165/500] eta: 0:00:09 time: 0.0247 data_time: 0.0021 memory: 661 2022/08/26 15:32:22 - mmengine - INFO - Epoch(val) [60][170/500] eta: 0:00:08 time: 0.0253 data_time: 0.0020 memory: 661 2022/08/26 15:32:22 - mmengine - INFO - Epoch(val) [60][175/500] eta: 0:00:08 time: 0.0231 data_time: 0.0020 memory: 661 2022/08/26 15:32:22 - mmengine - INFO - Epoch(val) [60][180/500] eta: 0:00:06 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 15:32:22 - mmengine - INFO - Epoch(val) [60][185/500] eta: 0:00:06 time: 0.0238 data_time: 0.0020 memory: 661 2022/08/26 15:32:23 - mmengine - INFO - Epoch(val) [60][190/500] eta: 0:00:07 time: 0.0247 data_time: 0.0020 memory: 661 2022/08/26 15:32:23 - mmengine - INFO - Epoch(val) [60][195/500] eta: 0:00:07 time: 0.0226 data_time: 0.0021 memory: 661 2022/08/26 15:32:23 - mmengine - INFO - Epoch(val) [60][200/500] eta: 0:00:07 time: 0.0249 data_time: 0.0021 memory: 661 2022/08/26 15:32:23 - mmengine - INFO - Epoch(val) [60][205/500] eta: 0:00:07 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 15:32:23 - mmengine - INFO - Epoch(val) [60][210/500] eta: 0:00:06 time: 0.0209 data_time: 0.0022 memory: 661 2022/08/26 15:32:23 - mmengine - INFO - Epoch(val) [60][215/500] eta: 0:00:06 time: 0.0224 data_time: 0.0022 memory: 661 2022/08/26 15:32:23 - mmengine - INFO - Epoch(val) [60][220/500] eta: 0:00:06 time: 0.0231 data_time: 0.0022 memory: 661 2022/08/26 15:32:23 - mmengine - INFO - Epoch(val) [60][225/500] eta: 0:00:06 time: 0.0231 data_time: 0.0021 memory: 661 2022/08/26 15:32:23 - mmengine - INFO - Epoch(val) [60][230/500] eta: 0:00:05 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 15:32:24 - mmengine - INFO - Epoch(val) [60][235/500] eta: 0:00:05 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 15:32:24 - mmengine - INFO - Epoch(val) [60][240/500] eta: 0:00:06 time: 0.0235 data_time: 0.0020 memory: 661 2022/08/26 15:32:24 - mmengine - INFO - Epoch(val) [60][245/500] eta: 0:00:06 time: 0.0219 data_time: 0.0020 memory: 661 2022/08/26 15:32:24 - mmengine - INFO - Epoch(val) [60][250/500] eta: 0:00:05 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 15:32:24 - mmengine - INFO - Epoch(val) [60][255/500] eta: 0:00:05 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 15:32:24 - mmengine - INFO - Epoch(val) [60][260/500] eta: 0:00:04 time: 0.0205 data_time: 0.0020 memory: 661 2022/08/26 15:32:24 - mmengine - INFO - Epoch(val) [60][265/500] eta: 0:00:04 time: 0.0209 data_time: 0.0020 memory: 661 2022/08/26 15:32:24 - mmengine - INFO - Epoch(val) [60][270/500] eta: 0:00:04 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 15:32:24 - mmengine - INFO - Epoch(val) [60][275/500] eta: 0:00:04 time: 0.0210 data_time: 0.0020 memory: 661 2022/08/26 15:32:25 - mmengine - INFO - Epoch(val) [60][280/500] eta: 0:00:04 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 15:32:25 - mmengine - INFO - Epoch(val) [60][285/500] eta: 0:00:04 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 15:32:25 - mmengine - INFO - Epoch(val) [60][290/500] eta: 0:00:04 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 15:32:25 - mmengine - INFO - Epoch(val) [60][295/500] eta: 0:00:04 time: 0.0226 data_time: 0.0020 memory: 661 2022/08/26 15:32:25 - mmengine - INFO - Epoch(val) [60][300/500] eta: 0:00:04 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 15:32:25 - mmengine - INFO - Epoch(val) [60][305/500] eta: 0:00:04 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 15:32:25 - mmengine - INFO - Epoch(val) [60][310/500] eta: 0:00:04 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 15:32:25 - mmengine - INFO - Epoch(val) [60][315/500] eta: 0:00:04 time: 0.0243 data_time: 0.0020 memory: 661 2022/08/26 15:32:25 - mmengine - INFO - Epoch(val) [60][320/500] eta: 0:00:04 time: 0.0245 data_time: 0.0022 memory: 661 2022/08/26 15:32:26 - mmengine - INFO - Epoch(val) [60][325/500] eta: 0:00:04 time: 0.0308 data_time: 0.0022 memory: 661 2022/08/26 15:32:26 - mmengine - INFO - Epoch(val) [60][330/500] eta: 0:00:05 time: 0.0306 data_time: 0.0022 memory: 661 2022/08/26 15:32:26 - mmengine - INFO - Epoch(val) [60][335/500] eta: 0:00:05 time: 0.0210 data_time: 0.0022 memory: 661 2022/08/26 15:32:26 - mmengine - INFO - Epoch(val) [60][340/500] eta: 0:00:04 time: 0.0273 data_time: 0.0022 memory: 661 2022/08/26 15:32:26 - mmengine - INFO - Epoch(val) [60][345/500] eta: 0:00:04 time: 0.0280 data_time: 0.0023 memory: 661 2022/08/26 15:32:26 - mmengine - INFO - Epoch(val) [60][350/500] eta: 0:00:03 time: 0.0249 data_time: 0.0021 memory: 661 2022/08/26 15:32:26 - mmengine - INFO - Epoch(val) [60][355/500] eta: 0:00:03 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][360/500] eta: 0:00:03 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][365/500] eta: 0:00:03 time: 0.0220 data_time: 0.0022 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][370/500] eta: 0:00:02 time: 0.0204 data_time: 0.0021 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][375/500] eta: 0:00:02 time: 0.0193 data_time: 0.0020 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][380/500] eta: 0:00:02 time: 0.0222 data_time: 0.0020 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][385/500] eta: 0:00:02 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][390/500] eta: 0:00:02 time: 0.0222 data_time: 0.0019 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][395/500] eta: 0:00:02 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][400/500] eta: 0:00:02 time: 0.0209 data_time: 0.0020 memory: 661 2022/08/26 15:32:27 - mmengine - INFO - Epoch(val) [60][405/500] eta: 0:00:02 time: 0.0211 data_time: 0.0019 memory: 661 2022/08/26 15:32:28 - mmengine - INFO - Epoch(val) [60][410/500] eta: 0:00:02 time: 0.0225 data_time: 0.0019 memory: 661 2022/08/26 15:32:28 - mmengine - INFO - Epoch(val) [60][415/500] eta: 0:00:02 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 15:32:28 - mmengine - INFO - Epoch(val) [60][420/500] eta: 0:00:01 time: 0.0205 data_time: 0.0022 memory: 661 2022/08/26 15:32:28 - mmengine - INFO - Epoch(val) [60][425/500] eta: 0:00:01 time: 0.0219 data_time: 0.0023 memory: 661 2022/08/26 15:32:28 - mmengine - INFO - Epoch(val) [60][430/500] eta: 0:00:01 time: 0.0231 data_time: 0.0022 memory: 661 2022/08/26 15:32:28 - mmengine - INFO - Epoch(val) [60][435/500] eta: 0:00:01 time: 0.0230 data_time: 0.0023 memory: 661 2022/08/26 15:32:28 - mmengine - INFO - Epoch(val) [60][440/500] eta: 0:00:01 time: 0.0233 data_time: 0.0025 memory: 661 2022/08/26 15:32:28 - mmengine - INFO - Epoch(val) [60][445/500] eta: 0:00:01 time: 0.0243 data_time: 0.0025 memory: 661 2022/08/26 15:32:29 - mmengine - INFO - Epoch(val) [60][450/500] eta: 0:00:01 time: 0.0250 data_time: 0.0022 memory: 661 2022/08/26 15:32:29 - mmengine - INFO - Epoch(val) [60][455/500] eta: 0:00:01 time: 0.0252 data_time: 0.0022 memory: 661 2022/08/26 15:32:29 - mmengine - INFO - Epoch(val) [60][460/500] eta: 0:00:00 time: 0.0245 data_time: 0.0025 memory: 661 2022/08/26 15:32:29 - mmengine - INFO - Epoch(val) [60][465/500] eta: 0:00:00 time: 0.0230 data_time: 0.0025 memory: 661 2022/08/26 15:32:29 - mmengine - INFO - Epoch(val) [60][470/500] eta: 0:00:00 time: 0.0226 data_time: 0.0023 memory: 661 2022/08/26 15:32:29 - mmengine - INFO - Epoch(val) [60][475/500] eta: 0:00:00 time: 0.0220 data_time: 0.0023 memory: 661 2022/08/26 15:32:29 - mmengine - INFO - Epoch(val) [60][480/500] eta: 0:00:00 time: 0.0242 data_time: 0.0024 memory: 661 2022/08/26 15:32:29 - mmengine - INFO - Epoch(val) [60][485/500] eta: 0:00:00 time: 0.0251 data_time: 0.0024 memory: 661 2022/08/26 15:32:29 - mmengine - INFO - Epoch(val) [60][490/500] eta: 0:00:00 time: 0.0244 data_time: 0.0022 memory: 661 2022/08/26 15:32:30 - mmengine - INFO - Epoch(val) [60][495/500] eta: 0:00:00 time: 0.0260 data_time: 0.0022 memory: 661 2022/08/26 15:32:30 - mmengine - INFO - Epoch(val) [60][500/500] eta: 0:00:00 time: 0.0242 data_time: 0.0023 memory: 661 2022/08/26 15:32:30 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.6596, precision: 0.6043, hmean: 0.6308 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.6596, precision: 0.6043, hmean: 0.6308 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.6596, precision: 0.6043, hmean: 0.6308 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.6596, precision: 0.6043, hmean: 0.6308 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.6596, precision: 0.6043, hmean: 0.6308 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.6596, precision: 0.6070, hmean: 0.6322 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6596, precision: 0.6233, hmean: 0.6409 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.6591, precision: 0.6439, hmean: 0.6514 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6572, precision: 0.6691, hmean: 0.6631 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.6495, precision: 0.6911, hmean: 0.6696 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6389, precision: 0.7216, hmean: 0.6777 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.6245, precision: 0.7506, hmean: 0.6817 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.5715, precision: 0.7903, hmean: 0.6633 2022/08/26 15:32:30 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.2518, precision: 0.8775, hmean: 0.3913 2022/08/26 15:32:30 - mmengine - INFO - Epoch(val) [60][500/500] icdar/precision: 0.7506 icdar/recall: 0.6245 icdar/hmean: 0.6817 2022/08/26 15:32:46 - mmengine - INFO - Epoch(train) [61][5/16] lr: 9.0938e-04 eta: 0:00:00 time: 2.6688 data_time: 0.5396 memory: 63381 loss_text: 0.2803 loss_kernel: 0.1287 loss_embedding: 0.0315 loss: 0.4406 2022/08/26 15:32:57 - mmengine - INFO - Epoch(train) [61][10/16] lr: 9.0938e-04 eta: 4:19:41 time: 2.6852 data_time: 0.5600 memory: 63381 loss_text: 0.2872 loss_kernel: 0.1330 loss_embedding: 0.0321 loss: 0.4523 2022/08/26 15:33:08 - mmengine - INFO - Epoch(train) [61][15/16] lr: 9.0938e-04 eta: 4:19:41 time: 2.1587 data_time: 0.0717 memory: 63381 loss_text: 0.3089 loss_kernel: 0.1410 loss_embedding: 0.0296 loss: 0.4795 2022/08/26 15:33:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:33:24 - mmengine - INFO - Epoch(train) [62][5/16] lr: 9.0786e-04 eta: 4:19:41 time: 2.5180 data_time: 0.4844 memory: 63381 loss_text: 0.2983 loss_kernel: 0.1383 loss_embedding: 0.0309 loss: 0.4675 2022/08/26 15:33:35 - mmengine - INFO - Epoch(train) [62][10/16] lr: 9.0786e-04 eta: 4:18:49 time: 2.6230 data_time: 0.5277 memory: 63381 loss_text: 0.2871 loss_kernel: 0.1342 loss_embedding: 0.0324 loss: 0.4538 2022/08/26 15:33:47 - mmengine - INFO - Epoch(train) [62][15/16] lr: 9.0786e-04 eta: 4:18:49 time: 2.2406 data_time: 0.0890 memory: 63381 loss_text: 0.2808 loss_kernel: 0.1291 loss_embedding: 0.0318 loss: 0.4417 2022/08/26 15:33:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:34:04 - mmengine - INFO - Epoch(train) [63][5/16] lr: 9.0634e-04 eta: 4:18:49 time: 2.6267 data_time: 0.5198 memory: 63381 loss_text: 0.2722 loss_kernel: 0.1272 loss_embedding: 0.0355 loss: 0.4348 2022/08/26 15:34:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:34:15 - mmengine - INFO - Epoch(train) [63][10/16] lr: 9.0634e-04 eta: 4:18:06 time: 2.7231 data_time: 0.5759 memory: 63381 loss_text: 0.2737 loss_kernel: 0.1258 loss_embedding: 0.0312 loss: 0.4307 2022/08/26 15:34:26 - mmengine - INFO - Epoch(train) [63][15/16] lr: 9.0634e-04 eta: 4:18:06 time: 2.2132 data_time: 0.0946 memory: 63381 loss_text: 0.2951 loss_kernel: 0.1316 loss_embedding: 0.0297 loss: 0.4563 2022/08/26 15:34:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:34:43 - mmengine - INFO - Epoch(train) [64][5/16] lr: 9.0482e-04 eta: 4:18:06 time: 2.5221 data_time: 0.4812 memory: 63381 loss_text: 0.2968 loss_kernel: 0.1351 loss_embedding: 0.0305 loss: 0.4623 2022/08/26 15:34:54 - mmengine - INFO - Epoch(train) [64][10/16] lr: 9.0482e-04 eta: 4:17:17 time: 2.6339 data_time: 0.5216 memory: 63381 loss_text: 0.2867 loss_kernel: 0.1298 loss_embedding: 0.0318 loss: 0.4482 2022/08/26 15:35:05 - mmengine - INFO - Epoch(train) [64][15/16] lr: 9.0482e-04 eta: 4:17:17 time: 2.2069 data_time: 0.1073 memory: 63381 loss_text: 0.3039 loss_kernel: 0.1386 loss_embedding: 0.0309 loss: 0.4734 2022/08/26 15:35:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:35:21 - mmengine - INFO - Epoch(train) [65][5/16] lr: 9.0330e-04 eta: 4:17:17 time: 2.4799 data_time: 0.4543 memory: 63381 loss_text: 0.2927 loss_kernel: 0.1361 loss_embedding: 0.0295 loss: 0.4583 2022/08/26 15:35:32 - mmengine - INFO - Epoch(train) [65][10/16] lr: 9.0330e-04 eta: 4:16:22 time: 2.5658 data_time: 0.4838 memory: 63381 loss_text: 0.2911 loss_kernel: 0.1369 loss_embedding: 0.0302 loss: 0.4582 2022/08/26 15:35:43 - mmengine - INFO - Epoch(train) [65][15/16] lr: 9.0330e-04 eta: 4:16:22 time: 2.2168 data_time: 0.1086 memory: 63381 loss_text: 0.2981 loss_kernel: 0.1402 loss_embedding: 0.0327 loss: 0.4710 2022/08/26 15:35:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:36:00 - mmengine - INFO - Epoch(train) [66][5/16] lr: 9.0178e-04 eta: 4:16:22 time: 2.5364 data_time: 0.5081 memory: 63381 loss_text: 0.3021 loss_kernel: 0.1403 loss_embedding: 0.0322 loss: 0.4746 2022/08/26 15:36:11 - mmengine - INFO - Epoch(train) [66][10/16] lr: 9.0178e-04 eta: 4:15:35 time: 2.6487 data_time: 0.5374 memory: 63381 loss_text: 0.3078 loss_kernel: 0.1424 loss_embedding: 0.0322 loss: 0.4824 2022/08/26 15:36:22 - mmengine - INFO - Epoch(train) [66][15/16] lr: 9.0178e-04 eta: 4:15:35 time: 2.2279 data_time: 0.0987 memory: 63381 loss_text: 0.3091 loss_kernel: 0.1394 loss_embedding: 0.0308 loss: 0.4793 2022/08/26 15:36:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:36:39 - mmengine - INFO - Epoch(train) [67][5/16] lr: 9.0026e-04 eta: 4:15:35 time: 2.5659 data_time: 0.4835 memory: 63381 loss_text: 0.2989 loss_kernel: 0.1338 loss_embedding: 0.0314 loss: 0.4641 2022/08/26 15:36:50 - mmengine - INFO - Epoch(train) [67][10/16] lr: 9.0026e-04 eta: 4:14:50 time: 2.6656 data_time: 0.5036 memory: 63381 loss_text: 0.2828 loss_kernel: 0.1286 loss_embedding: 0.0315 loss: 0.4430 2022/08/26 15:37:02 - mmengine - INFO - Epoch(train) [67][15/16] lr: 9.0026e-04 eta: 4:14:50 time: 2.2920 data_time: 0.0973 memory: 63381 loss_text: 0.2937 loss_kernel: 0.1321 loss_embedding: 0.0332 loss: 0.4591 2022/08/26 15:37:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:37:18 - mmengine - INFO - Epoch(train) [68][5/16] lr: 8.9874e-04 eta: 4:14:50 time: 2.5083 data_time: 0.4571 memory: 63381 loss_text: 0.3005 loss_kernel: 0.1402 loss_embedding: 0.0316 loss: 0.4723 2022/08/26 15:37:30 - mmengine - INFO - Epoch(train) [68][10/16] lr: 8.9874e-04 eta: 4:14:06 time: 2.6681 data_time: 0.5190 memory: 63381 loss_text: 0.2814 loss_kernel: 0.1319 loss_embedding: 0.0303 loss: 0.4436 2022/08/26 15:37:41 - mmengine - INFO - Epoch(train) [68][15/16] lr: 8.9874e-04 eta: 4:14:06 time: 2.3074 data_time: 0.1206 memory: 63381 loss_text: 0.2911 loss_kernel: 0.1349 loss_embedding: 0.0305 loss: 0.4565 2022/08/26 15:37:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:37:57 - mmengine - INFO - Epoch(train) [69][5/16] lr: 8.9722e-04 eta: 4:14:06 time: 2.5098 data_time: 0.4587 memory: 63381 loss_text: 0.2810 loss_kernel: 0.1320 loss_embedding: 0.0333 loss: 0.4463 2022/08/26 15:38:09 - mmengine - INFO - Epoch(train) [69][10/16] lr: 8.9722e-04 eta: 4:13:17 time: 2.6020 data_time: 0.4934 memory: 63381 loss_text: 0.2788 loss_kernel: 0.1277 loss_embedding: 0.0333 loss: 0.4399 2022/08/26 15:38:19 - mmengine - INFO - Epoch(train) [69][15/16] lr: 8.9722e-04 eta: 4:13:17 time: 2.1923 data_time: 0.0978 memory: 63381 loss_text: 0.2880 loss_kernel: 0.1306 loss_embedding: 0.0322 loss: 0.4508 2022/08/26 15:38:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:38:36 - mmengine - INFO - Epoch(train) [70][5/16] lr: 8.9570e-04 eta: 4:13:17 time: 2.5103 data_time: 0.4649 memory: 63381 loss_text: 0.2647 loss_kernel: 0.1228 loss_embedding: 0.0331 loss: 0.4206 2022/08/26 15:38:47 - mmengine - INFO - Epoch(train) [70][10/16] lr: 8.9570e-04 eta: 4:12:31 time: 2.6362 data_time: 0.4947 memory: 63381 loss_text: 0.2936 loss_kernel: 0.1360 loss_embedding: 0.0293 loss: 0.4588 2022/08/26 15:38:58 - mmengine - INFO - Epoch(train) [70][15/16] lr: 8.9570e-04 eta: 4:12:31 time: 2.1662 data_time: 0.0733 memory: 63381 loss_text: 0.3089 loss_kernel: 0.1419 loss_embedding: 0.0303 loss: 0.4811 2022/08/26 15:38:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:39:15 - mmengine - INFO - Epoch(train) [71][5/16] lr: 8.9418e-04 eta: 4:12:31 time: 2.5630 data_time: 0.4894 memory: 63381 loss_text: 0.2975 loss_kernel: 0.1362 loss_embedding: 0.0332 loss: 0.4669 2022/08/26 15:39:26 - mmengine - INFO - Epoch(train) [71][10/16] lr: 8.9418e-04 eta: 4:11:51 time: 2.6971 data_time: 0.5240 memory: 63381 loss_text: 0.2999 loss_kernel: 0.1370 loss_embedding: 0.0286 loss: 0.4655 2022/08/26 15:39:37 - mmengine - INFO - Epoch(train) [71][15/16] lr: 8.9418e-04 eta: 4:11:51 time: 2.2539 data_time: 0.1292 memory: 63381 loss_text: 0.3000 loss_kernel: 0.1382 loss_embedding: 0.0246 loss: 0.4629 2022/08/26 15:39:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:39:54 - mmengine - INFO - Epoch(train) [72][5/16] lr: 8.9266e-04 eta: 4:11:51 time: 2.5071 data_time: 0.4753 memory: 63381 loss_text: 0.2809 loss_kernel: 0.1304 loss_embedding: 0.0284 loss: 0.4397 2022/08/26 15:40:05 - mmengine - INFO - Epoch(train) [72][10/16] lr: 8.9266e-04 eta: 4:11:07 time: 2.6451 data_time: 0.5243 memory: 63381 loss_text: 0.2625 loss_kernel: 0.1245 loss_embedding: 0.0318 loss: 0.4188 2022/08/26 15:40:18 - mmengine - INFO - Epoch(train) [72][15/16] lr: 8.9266e-04 eta: 4:11:07 time: 2.3403 data_time: 0.1190 memory: 63381 loss_text: 0.2600 loss_kernel: 0.1229 loss_embedding: 0.0306 loss: 0.4135 2022/08/26 15:40:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:40:34 - mmengine - INFO - Epoch(train) [73][5/16] lr: 8.9114e-04 eta: 4:11:07 time: 2.6490 data_time: 0.4892 memory: 63381 loss_text: 0.2838 loss_kernel: 0.1291 loss_embedding: 0.0281 loss: 0.4410 2022/08/26 15:40:45 - mmengine - INFO - Epoch(train) [73][10/16] lr: 8.9114e-04 eta: 4:10:22 time: 2.6255 data_time: 0.5123 memory: 63381 loss_text: 0.2984 loss_kernel: 0.1334 loss_embedding: 0.0301 loss: 0.4619 2022/08/26 15:40:56 - mmengine - INFO - Epoch(train) [73][15/16] lr: 8.9114e-04 eta: 4:10:22 time: 2.1829 data_time: 0.0786 memory: 63381 loss_text: 0.2826 loss_kernel: 0.1293 loss_embedding: 0.0297 loss: 0.4417 2022/08/26 15:40:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:41:13 - mmengine - INFO - Epoch(train) [74][5/16] lr: 8.8962e-04 eta: 4:10:22 time: 2.5698 data_time: 0.4766 memory: 63381 loss_text: 0.2767 loss_kernel: 0.1295 loss_embedding: 0.0317 loss: 0.4379 2022/08/26 15:41:25 - mmengine - INFO - Epoch(train) [74][10/16] lr: 8.8962e-04 eta: 4:09:42 time: 2.6961 data_time: 0.5412 memory: 63381 loss_text: 0.2891 loss_kernel: 0.1317 loss_embedding: 0.0297 loss: 0.4505 2022/08/26 15:41:35 - mmengine - INFO - Epoch(train) [74][15/16] lr: 8.8962e-04 eta: 4:09:42 time: 2.2407 data_time: 0.1185 memory: 63381 loss_text: 0.2816 loss_kernel: 0.1298 loss_embedding: 0.0282 loss: 0.4397 2022/08/26 15:41:37 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:41:51 - mmengine - INFO - Epoch(train) [75][5/16] lr: 8.8809e-04 eta: 4:09:42 time: 2.4627 data_time: 0.4596 memory: 63381 loss_text: 0.3044 loss_kernel: 0.1444 loss_embedding: 0.0312 loss: 0.4800 2022/08/26 15:42:03 - mmengine - INFO - Epoch(train) [75][10/16] lr: 8.8809e-04 eta: 4:08:56 time: 2.5887 data_time: 0.4991 memory: 63381 loss_text: 0.2911 loss_kernel: 0.1345 loss_embedding: 0.0304 loss: 0.4560 2022/08/26 15:42:14 - mmengine - INFO - Epoch(train) [75][15/16] lr: 8.8809e-04 eta: 4:08:56 time: 2.2250 data_time: 0.1068 memory: 63381 loss_text: 0.2886 loss_kernel: 0.1312 loss_embedding: 0.0327 loss: 0.4525 2022/08/26 15:42:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:42:30 - mmengine - INFO - Epoch(train) [76][5/16] lr: 8.8657e-04 eta: 4:08:56 time: 2.4584 data_time: 0.4553 memory: 63381 loss_text: 0.2926 loss_kernel: 0.1340 loss_embedding: 0.0297 loss: 0.4563 2022/08/26 15:42:41 - mmengine - INFO - Epoch(train) [76][10/16] lr: 8.8657e-04 eta: 4:08:10 time: 2.5914 data_time: 0.4903 memory: 63381 loss_text: 0.2791 loss_kernel: 0.1298 loss_embedding: 0.0309 loss: 0.4398 2022/08/26 15:42:52 - mmengine - INFO - Epoch(train) [76][15/16] lr: 8.8657e-04 eta: 4:08:10 time: 2.2292 data_time: 0.0908 memory: 63381 loss_text: 0.2794 loss_kernel: 0.1287 loss_embedding: 0.0319 loss: 0.4399 2022/08/26 15:42:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:43:08 - mmengine - INFO - Epoch(train) [77][5/16] lr: 8.8505e-04 eta: 4:08:10 time: 2.5012 data_time: 0.4780 memory: 63381 loss_text: 0.2936 loss_kernel: 0.1345 loss_embedding: 0.0299 loss: 0.4580 2022/08/26 15:43:20 - mmengine - INFO - Epoch(train) [77][10/16] lr: 8.8505e-04 eta: 4:07:27 time: 2.6342 data_time: 0.4900 memory: 63381 loss_text: 0.3031 loss_kernel: 0.1417 loss_embedding: 0.0301 loss: 0.4749 2022/08/26 15:43:31 - mmengine - INFO - Epoch(train) [77][15/16] lr: 8.8505e-04 eta: 4:07:27 time: 2.2752 data_time: 0.0858 memory: 63381 loss_text: 0.2911 loss_kernel: 0.1339 loss_embedding: 0.0290 loss: 0.4541 2022/08/26 15:43:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:43:48 - mmengine - INFO - Epoch(train) [78][5/16] lr: 8.8353e-04 eta: 4:07:27 time: 2.5868 data_time: 0.4845 memory: 63381 loss_text: 0.2864 loss_kernel: 0.1338 loss_embedding: 0.0307 loss: 0.4510 2022/08/26 15:44:00 - mmengine - INFO - Epoch(train) [78][10/16] lr: 8.8353e-04 eta: 4:06:45 time: 2.6345 data_time: 0.5390 memory: 63381 loss_text: 0.2649 loss_kernel: 0.1262 loss_embedding: 0.0291 loss: 0.4202 2022/08/26 15:44:11 - mmengine - INFO - Epoch(train) [78][15/16] lr: 8.8353e-04 eta: 4:06:45 time: 2.2489 data_time: 0.1252 memory: 63381 loss_text: 0.2700 loss_kernel: 0.1282 loss_embedding: 0.0270 loss: 0.4252 2022/08/26 15:44:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:44:28 - mmengine - INFO - Epoch(train) [79][5/16] lr: 8.8200e-04 eta: 4:06:45 time: 2.5453 data_time: 0.4870 memory: 63381 loss_text: 0.2899 loss_kernel: 0.1347 loss_embedding: 0.0276 loss: 0.4522 2022/08/26 15:44:39 - mmengine - INFO - Epoch(train) [79][10/16] lr: 8.8200e-04 eta: 4:06:04 time: 2.6308 data_time: 0.4961 memory: 63381 loss_text: 0.2959 loss_kernel: 0.1385 loss_embedding: 0.0260 loss: 0.4604 2022/08/26 15:44:50 - mmengine - INFO - Epoch(train) [79][15/16] lr: 8.8200e-04 eta: 4:06:04 time: 2.2127 data_time: 0.0758 memory: 63381 loss_text: 0.3069 loss_kernel: 0.1432 loss_embedding: 0.0273 loss: 0.4774 2022/08/26 15:44:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:45:06 - mmengine - INFO - Epoch(train) [80][5/16] lr: 8.8048e-04 eta: 4:06:04 time: 2.5417 data_time: 0.4593 memory: 63381 loss_text: 0.2777 loss_kernel: 0.1250 loss_embedding: 0.0290 loss: 0.4317 2022/08/26 15:45:19 - mmengine - INFO - Epoch(train) [80][10/16] lr: 8.8048e-04 eta: 4:05:27 time: 2.6983 data_time: 0.5540 memory: 63381 loss_text: 0.2796 loss_kernel: 0.1268 loss_embedding: 0.0260 loss: 0.4324 2022/08/26 15:45:30 - mmengine - INFO - Epoch(train) [80][15/16] lr: 8.8048e-04 eta: 4:05:27 time: 2.3684 data_time: 0.1719 memory: 63381 loss_text: 0.2937 loss_kernel: 0.1350 loss_embedding: 0.0279 loss: 0.4566 2022/08/26 15:45:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:45:31 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/26 15:45:35 - mmengine - INFO - Epoch(val) [80][5/500] eta: 4:05:27 time: 0.0566 data_time: 0.0162 memory: 39748 2022/08/26 15:45:35 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:00:27 time: 0.0567 data_time: 0.0162 memory: 661 2022/08/26 15:45:35 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:00:27 time: 0.0212 data_time: 0.0019 memory: 661 2022/08/26 15:45:35 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:00:09 time: 0.0197 data_time: 0.0016 memory: 661 2022/08/26 15:45:35 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:00:09 time: 0.0192 data_time: 0.0016 memory: 661 2022/08/26 15:45:35 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:00:10 time: 0.0216 data_time: 0.0018 memory: 661 2022/08/26 15:45:35 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:00:10 time: 0.0218 data_time: 0.0017 memory: 661 2022/08/26 15:45:35 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:00:09 time: 0.0215 data_time: 0.0015 memory: 661 2022/08/26 15:45:36 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:00:09 time: 0.0226 data_time: 0.0015 memory: 661 2022/08/26 15:45:36 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:10 time: 0.0244 data_time: 0.0017 memory: 661 2022/08/26 15:45:36 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:10 time: 0.0235 data_time: 0.0019 memory: 661 2022/08/26 15:45:36 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:00:08 time: 0.0200 data_time: 0.0020 memory: 661 2022/08/26 15:45:36 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:00:08 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 15:45:36 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:00:09 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 15:45:36 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:00:09 time: 0.0208 data_time: 0.0021 memory: 661 2022/08/26 15:45:36 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:00:08 time: 0.0194 data_time: 0.0020 memory: 661 2022/08/26 15:45:36 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:00:08 time: 0.0190 data_time: 0.0021 memory: 661 2022/08/26 15:45:37 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:08 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 15:45:37 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:08 time: 0.0227 data_time: 0.0022 memory: 661 2022/08/26 15:45:37 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:00:08 time: 0.0214 data_time: 0.0021 memory: 661 2022/08/26 15:45:37 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:00:08 time: 0.0208 data_time: 0.0020 memory: 661 2022/08/26 15:45:37 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:00:08 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 15:45:37 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:00:08 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 15:45:37 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:08 time: 0.0229 data_time: 0.0024 memory: 661 2022/08/26 15:45:37 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:08 time: 0.0222 data_time: 0.0023 memory: 661 2022/08/26 15:45:37 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:00:08 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 15:45:38 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:00:08 time: 0.0226 data_time: 0.0022 memory: 661 2022/08/26 15:45:38 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:08 time: 0.0232 data_time: 0.0022 memory: 661 2022/08/26 15:45:38 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:08 time: 0.0240 data_time: 0.0023 memory: 661 2022/08/26 15:45:38 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:00:08 time: 0.0251 data_time: 0.0023 memory: 661 2022/08/26 15:45:38 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:00:08 time: 0.0271 data_time: 0.0022 memory: 661 2022/08/26 15:45:38 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:08 time: 0.0260 data_time: 0.0022 memory: 661 2022/08/26 15:45:38 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:08 time: 0.0246 data_time: 0.0023 memory: 661 2022/08/26 15:45:38 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:08 time: 0.0253 data_time: 0.0022 memory: 661 2022/08/26 15:45:39 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:08 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 15:45:39 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:07 time: 0.0223 data_time: 0.0022 memory: 661 2022/08/26 15:45:39 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:07 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 15:45:39 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:07 time: 0.0239 data_time: 0.0021 memory: 661 2022/08/26 15:45:39 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:07 time: 0.0227 data_time: 0.0022 memory: 661 2022/08/26 15:45:39 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:08 time: 0.0277 data_time: 0.0023 memory: 661 2022/08/26 15:45:39 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:08 time: 0.0280 data_time: 0.0024 memory: 661 2022/08/26 15:45:39 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:00:06 time: 0.0215 data_time: 0.0023 memory: 661 2022/08/26 15:45:39 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:00:06 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 15:45:40 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:00:06 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 15:45:40 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:00:06 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 15:45:40 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:05 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 15:45:40 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:05 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 15:45:40 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:05 time: 0.0226 data_time: 0.0020 memory: 661 2022/08/26 15:45:40 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:05 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 15:45:40 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:05 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 15:45:40 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:05 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 15:45:40 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:04 time: 0.0202 data_time: 0.0020 memory: 661 2022/08/26 15:45:41 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:04 time: 0.0205 data_time: 0.0021 memory: 661 2022/08/26 15:45:41 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:00:04 time: 0.0217 data_time: 0.0022 memory: 661 2022/08/26 15:45:41 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:00:04 time: 0.0216 data_time: 0.0023 memory: 661 2022/08/26 15:45:41 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:00:05 time: 0.0244 data_time: 0.0024 memory: 661 2022/08/26 15:45:41 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:00:05 time: 0.0261 data_time: 0.0027 memory: 661 2022/08/26 15:45:41 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:00:05 time: 0.0243 data_time: 0.0026 memory: 661 2022/08/26 15:45:41 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:00:05 time: 0.0250 data_time: 0.0031 memory: 661 2022/08/26 15:45:41 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:00:04 time: 0.0239 data_time: 0.0030 memory: 661 2022/08/26 15:45:41 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:00:04 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 15:45:42 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:00:04 time: 0.0212 data_time: 0.0023 memory: 661 2022/08/26 15:45:42 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:04 time: 0.0235 data_time: 0.0024 memory: 661 2022/08/26 15:45:42 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:00:04 time: 0.0240 data_time: 0.0023 memory: 661 2022/08/26 15:45:42 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:00:04 time: 0.0308 data_time: 0.0022 memory: 661 2022/08/26 15:45:42 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:00:05 time: 0.0311 data_time: 0.0022 memory: 661 2022/08/26 15:45:42 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:00:05 time: 0.0217 data_time: 0.0023 memory: 661 2022/08/26 15:45:42 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:03 time: 0.0248 data_time: 0.0024 memory: 661 2022/08/26 15:45:43 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:03 time: 0.0262 data_time: 0.0024 memory: 661 2022/08/26 15:45:43 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:03 time: 0.0254 data_time: 0.0022 memory: 661 2022/08/26 15:45:43 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:03 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 15:45:43 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:03 time: 0.0224 data_time: 0.0024 memory: 661 2022/08/26 15:45:43 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:03 time: 0.0229 data_time: 0.0024 memory: 661 2022/08/26 15:45:43 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:02 time: 0.0208 data_time: 0.0021 memory: 661 2022/08/26 15:45:43 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:02 time: 0.0201 data_time: 0.0021 memory: 661 2022/08/26 15:45:43 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:02 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 15:45:43 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:02 time: 0.0229 data_time: 0.0020 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:02 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:02 time: 0.0220 data_time: 0.0022 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:02 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:02 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:01 time: 0.0222 data_time: 0.0021 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:01 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:01 time: 0.0196 data_time: 0.0020 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:01 time: 0.0199 data_time: 0.0020 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:01 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 15:45:44 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:01 time: 0.0211 data_time: 0.0020 memory: 661 2022/08/26 15:45:45 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:01 time: 0.0213 data_time: 0.0020 memory: 661 2022/08/26 15:45:45 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:01 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 15:45:45 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:01 time: 0.0253 data_time: 0.0022 memory: 661 2022/08/26 15:45:45 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:01 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 15:45:45 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:00 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 15:45:45 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:00 time: 0.0210 data_time: 0.0022 memory: 661 2022/08/26 15:45:45 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:00 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 15:45:45 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:00 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 15:45:46 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:00 time: 0.0219 data_time: 0.0022 memory: 661 2022/08/26 15:45:46 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:00 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 15:45:46 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:00 time: 0.0233 data_time: 0.0021 memory: 661 2022/08/26 15:45:46 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:00 time: 0.0271 data_time: 0.0027 memory: 661 2022/08/26 15:45:46 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.0256 data_time: 0.0027 memory: 661 2022/08/26 15:45:46 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.5917, precision: 0.6801, hmean: 0.6329 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.5917, precision: 0.6801, hmean: 0.6329 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.5917, precision: 0.6801, hmean: 0.6329 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.5917, precision: 0.6801, hmean: 0.6329 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.5917, precision: 0.6801, hmean: 0.6329 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.5912, precision: 0.6818, hmean: 0.6333 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.5908, precision: 0.6952, hmean: 0.6387 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.5898, precision: 0.7143, hmean: 0.6461 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.5864, precision: 0.7364, hmean: 0.6529 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.5782, precision: 0.7558, hmean: 0.6552 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.5619, precision: 0.7790, hmean: 0.6529 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.5349, precision: 0.8104, hmean: 0.6444 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.4598, precision: 0.8459, hmean: 0.5958 2022/08/26 15:45:46 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.1406, precision: 0.8848, hmean: 0.2426 2022/08/26 15:45:46 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.7558 icdar/recall: 0.5782 icdar/hmean: 0.6552 2022/08/26 15:46:02 - mmengine - INFO - Epoch(train) [81][5/16] lr: 8.7895e-04 eta: 0:00:00 time: 2.6075 data_time: 0.4677 memory: 63381 loss_text: 0.2798 loss_kernel: 0.1316 loss_embedding: 0.0294 loss: 0.4408 2022/08/26 15:46:13 - mmengine - INFO - Epoch(train) [81][10/16] lr: 8.7895e-04 eta: 4:04:51 time: 2.7190 data_time: 0.4968 memory: 63381 loss_text: 0.2923 loss_kernel: 0.1391 loss_embedding: 0.0258 loss: 0.4572 2022/08/26 15:46:26 - mmengine - INFO - Epoch(train) [81][15/16] lr: 8.7895e-04 eta: 4:04:51 time: 2.3991 data_time: 0.1178 memory: 63381 loss_text: 0.2790 loss_kernel: 0.1319 loss_embedding: 0.0269 loss: 0.4378 2022/08/26 15:46:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:46:44 - mmengine - INFO - Epoch(train) [82][5/16] lr: 8.7743e-04 eta: 4:04:51 time: 2.7720 data_time: 0.5505 memory: 63381 loss_text: 0.2820 loss_kernel: 0.1355 loss_embedding: 0.0272 loss: 0.4447 2022/08/26 15:46:55 - mmengine - INFO - Epoch(train) [82][10/16] lr: 8.7743e-04 eta: 4:04:19 time: 2.7647 data_time: 0.5529 memory: 63381 loss_text: 0.2880 loss_kernel: 0.1351 loss_embedding: 0.0252 loss: 0.4483 2022/08/26 15:47:06 - mmengine - INFO - Epoch(train) [82][15/16] lr: 8.7743e-04 eta: 4:04:19 time: 2.2457 data_time: 0.0799 memory: 63381 loss_text: 0.2795 loss_kernel: 0.1249 loss_embedding: 0.0297 loss: 0.4341 2022/08/26 15:47:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:47:23 - mmengine - INFO - Epoch(train) [83][5/16] lr: 8.7591e-04 eta: 4:04:19 time: 2.5582 data_time: 0.4877 memory: 63381 loss_text: 0.2918 loss_kernel: 0.1345 loss_embedding: 0.0280 loss: 0.4543 2022/08/26 15:47:34 - mmengine - INFO - Epoch(train) [83][10/16] lr: 8.7591e-04 eta: 4:03:38 time: 2.6221 data_time: 0.5070 memory: 63381 loss_text: 0.2874 loss_kernel: 0.1367 loss_embedding: 0.0265 loss: 0.4506 2022/08/26 15:47:45 - mmengine - INFO - Epoch(train) [83][15/16] lr: 8.7591e-04 eta: 4:03:38 time: 2.2667 data_time: 0.0813 memory: 63381 loss_text: 0.2736 loss_kernel: 0.1277 loss_embedding: 0.0293 loss: 0.4306 2022/08/26 15:47:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:48:02 - mmengine - INFO - Epoch(train) [84][5/16] lr: 8.7438e-04 eta: 4:03:38 time: 2.5934 data_time: 0.4814 memory: 63381 loss_text: 0.2783 loss_kernel: 0.1300 loss_embedding: 0.0269 loss: 0.4351 2022/08/26 15:48:14 - mmengine - INFO - Epoch(train) [84][10/16] lr: 8.7438e-04 eta: 4:03:03 time: 2.7156 data_time: 0.5188 memory: 63381 loss_text: 0.2589 loss_kernel: 0.1213 loss_embedding: 0.0272 loss: 0.4073 2022/08/26 15:48:25 - mmengine - INFO - Epoch(train) [84][15/16] lr: 8.7438e-04 eta: 4:03:03 time: 2.3274 data_time: 0.0957 memory: 63381 loss_text: 0.2562 loss_kernel: 0.1198 loss_embedding: 0.0281 loss: 0.4041 2022/08/26 15:48:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:48:43 - mmengine - INFO - Epoch(train) [85][5/16] lr: 8.7286e-04 eta: 4:03:03 time: 2.6424 data_time: 0.5226 memory: 63381 loss_text: 0.2841 loss_kernel: 0.1300 loss_embedding: 0.0290 loss: 0.4431 2022/08/26 15:48:53 - mmengine - INFO - Epoch(train) [85][10/16] lr: 8.7286e-04 eta: 4:02:24 time: 2.6597 data_time: 0.5315 memory: 63381 loss_text: 0.2772 loss_kernel: 0.1287 loss_embedding: 0.0255 loss: 0.4313 2022/08/26 15:49:05 - mmengine - INFO - Epoch(train) [85][15/16] lr: 8.7286e-04 eta: 4:02:24 time: 2.2265 data_time: 0.0750 memory: 63381 loss_text: 0.2633 loss_kernel: 0.1242 loss_embedding: 0.0279 loss: 0.4154 2022/08/26 15:49:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:49:21 - mmengine - INFO - Epoch(train) [86][5/16] lr: 8.7133e-04 eta: 4:02:24 time: 2.5387 data_time: 0.4481 memory: 63381 loss_text: 0.2543 loss_kernel: 0.1200 loss_embedding: 0.0294 loss: 0.4036 2022/08/26 15:49:33 - mmengine - INFO - Epoch(train) [86][10/16] lr: 8.7133e-04 eta: 4:01:46 time: 2.6512 data_time: 0.4651 memory: 63381 loss_text: 0.2595 loss_kernel: 0.1229 loss_embedding: 0.0299 loss: 0.4123 2022/08/26 15:49:45 - mmengine - INFO - Epoch(train) [86][15/16] lr: 8.7133e-04 eta: 4:01:46 time: 2.3581 data_time: 0.0787 memory: 63381 loss_text: 0.2637 loss_kernel: 0.1276 loss_embedding: 0.0284 loss: 0.4197 2022/08/26 15:49:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:50:02 - mmengine - INFO - Epoch(train) [87][5/16] lr: 8.6980e-04 eta: 4:01:46 time: 2.6219 data_time: 0.4607 memory: 63381 loss_text: 0.2594 loss_kernel: 0.1278 loss_embedding: 0.0283 loss: 0.4155 2022/08/26 15:50:14 - mmengine - INFO - Epoch(train) [87][10/16] lr: 8.6980e-04 eta: 4:01:12 time: 2.7301 data_time: 0.5359 memory: 63381 loss_text: 0.2702 loss_kernel: 0.1310 loss_embedding: 0.0257 loss: 0.4270 2022/08/26 15:50:25 - mmengine - INFO - Epoch(train) [87][15/16] lr: 8.6980e-04 eta: 4:01:12 time: 2.3448 data_time: 0.1282 memory: 63381 loss_text: 0.2749 loss_kernel: 0.1305 loss_embedding: 0.0266 loss: 0.4320 2022/08/26 15:50:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:50:42 - mmengine - INFO - Epoch(train) [88][5/16] lr: 8.6828e-04 eta: 4:01:12 time: 2.6288 data_time: 0.4812 memory: 63381 loss_text: 0.2545 loss_kernel: 0.1221 loss_embedding: 0.0289 loss: 0.4055 2022/08/26 15:50:53 - mmengine - INFO - Epoch(train) [88][10/16] lr: 8.6828e-04 eta: 4:00:37 time: 2.6999 data_time: 0.5140 memory: 63381 loss_text: 0.2579 loss_kernel: 0.1268 loss_embedding: 0.0260 loss: 0.4108 2022/08/26 15:51:05 - mmengine - INFO - Epoch(train) [88][15/16] lr: 8.6828e-04 eta: 4:00:37 time: 2.3280 data_time: 0.0953 memory: 63381 loss_text: 0.2556 loss_kernel: 0.1254 loss_embedding: 0.0244 loss: 0.4054 2022/08/26 15:51:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:51:22 - mmengine - INFO - Epoch(train) [89][5/16] lr: 8.6675e-04 eta: 4:00:37 time: 2.6497 data_time: 0.4925 memory: 63381 loss_text: 0.2500 loss_kernel: 0.1168 loss_embedding: 0.0275 loss: 0.3943 2022/08/26 15:51:34 - mmengine - INFO - Epoch(train) [89][10/16] lr: 8.6675e-04 eta: 4:00:02 time: 2.7017 data_time: 0.5117 memory: 63381 loss_text: 0.2646 loss_kernel: 0.1236 loss_embedding: 0.0282 loss: 0.4164 2022/08/26 15:51:45 - mmengine - INFO - Epoch(train) [89][15/16] lr: 8.6675e-04 eta: 4:00:02 time: 2.2608 data_time: 0.0928 memory: 63381 loss_text: 0.2810 loss_kernel: 0.1326 loss_embedding: 0.0255 loss: 0.4390 2022/08/26 15:51:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:52:01 - mmengine - INFO - Epoch(train) [90][5/16] lr: 8.6522e-04 eta: 4:00:02 time: 2.5466 data_time: 0.4713 memory: 63381 loss_text: 0.2774 loss_kernel: 0.1313 loss_embedding: 0.0256 loss: 0.4343 2022/08/26 15:52:14 - mmengine - INFO - Epoch(train) [90][10/16] lr: 8.6522e-04 eta: 3:59:30 time: 2.7374 data_time: 0.5337 memory: 63381 loss_text: 0.2842 loss_kernel: 0.1334 loss_embedding: 0.0248 loss: 0.4424 2022/08/26 15:52:25 - mmengine - INFO - Epoch(train) [90][15/16] lr: 8.6522e-04 eta: 3:59:30 time: 2.4085 data_time: 0.1192 memory: 63381 loss_text: 0.2653 loss_kernel: 0.1244 loss_embedding: 0.0266 loss: 0.4163 2022/08/26 15:52:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:52:43 - mmengine - INFO - Epoch(train) [91][5/16] lr: 8.6370e-04 eta: 3:59:30 time: 2.6849 data_time: 0.5239 memory: 63381 loss_text: 0.2613 loss_kernel: 0.1220 loss_embedding: 0.0256 loss: 0.4088 2022/08/26 15:52:54 - mmengine - INFO - Epoch(train) [91][10/16] lr: 8.6370e-04 eta: 3:58:56 time: 2.7170 data_time: 0.5405 memory: 63381 loss_text: 0.2851 loss_kernel: 0.1318 loss_embedding: 0.0229 loss: 0.4397 2022/08/26 15:53:06 - mmengine - INFO - Epoch(train) [91][15/16] lr: 8.6370e-04 eta: 3:58:56 time: 2.3198 data_time: 0.0935 memory: 63381 loss_text: 0.2625 loss_kernel: 0.1246 loss_embedding: 0.0243 loss: 0.4114 2022/08/26 15:53:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:53:22 - mmengine - INFO - Epoch(train) [92][5/16] lr: 8.6217e-04 eta: 3:58:56 time: 2.5512 data_time: 0.4594 memory: 63381 loss_text: 0.2603 loss_kernel: 0.1287 loss_embedding: 0.0255 loss: 0.4145 2022/08/26 15:53:34 - mmengine - INFO - Epoch(train) [92][10/16] lr: 8.6217e-04 eta: 3:58:20 time: 2.6689 data_time: 0.4959 memory: 63381 loss_text: 0.2511 loss_kernel: 0.1259 loss_embedding: 0.0261 loss: 0.4032 2022/08/26 15:53:46 - mmengine - INFO - Epoch(train) [92][15/16] lr: 8.6217e-04 eta: 3:58:20 time: 2.3467 data_time: 0.0988 memory: 63381 loss_text: 0.2576 loss_kernel: 0.1265 loss_embedding: 0.0267 loss: 0.4108 2022/08/26 15:53:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:54:03 - mmengine - INFO - Epoch(train) [93][5/16] lr: 8.6064e-04 eta: 3:58:20 time: 2.6414 data_time: 0.5096 memory: 63381 loss_text: 0.2995 loss_kernel: 0.1425 loss_embedding: 0.0272 loss: 0.4692 2022/08/26 15:54:14 - mmengine - INFO - Epoch(train) [93][10/16] lr: 8.6064e-04 eta: 3:57:44 time: 2.6825 data_time: 0.5190 memory: 63381 loss_text: 0.2665 loss_kernel: 0.1267 loss_embedding: 0.0255 loss: 0.4187 2022/08/26 15:54:26 - mmengine - INFO - Epoch(train) [93][15/16] lr: 8.6064e-04 eta: 3:57:44 time: 2.2705 data_time: 0.0913 memory: 63381 loss_text: 0.2641 loss_kernel: 0.1290 loss_embedding: 0.0251 loss: 0.4181 2022/08/26 15:54:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:54:43 - mmengine - INFO - Epoch(train) [94][5/16] lr: 8.5912e-04 eta: 3:57:44 time: 2.5995 data_time: 0.5018 memory: 63381 loss_text: 0.2623 loss_kernel: 0.1245 loss_embedding: 0.0260 loss: 0.4128 2022/08/26 15:54:54 - mmengine - INFO - Epoch(train) [94][10/16] lr: 8.5912e-04 eta: 3:57:09 time: 2.6704 data_time: 0.5292 memory: 63381 loss_text: 0.2615 loss_kernel: 0.1208 loss_embedding: 0.0281 loss: 0.4104 2022/08/26 15:55:06 - mmengine - INFO - Epoch(train) [94][15/16] lr: 8.5912e-04 eta: 3:57:09 time: 2.3478 data_time: 0.1129 memory: 63381 loss_text: 0.2710 loss_kernel: 0.1276 loss_embedding: 0.0300 loss: 0.4286 2022/08/26 15:55:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:55:23 - mmengine - INFO - Epoch(train) [95][5/16] lr: 8.5759e-04 eta: 3:57:09 time: 2.7145 data_time: 0.5075 memory: 63381 loss_text: 0.2549 loss_kernel: 0.1236 loss_embedding: 0.0291 loss: 0.4076 2022/08/26 15:55:35 - mmengine - INFO - Epoch(train) [95][10/16] lr: 8.5759e-04 eta: 3:56:33 time: 2.6749 data_time: 0.5089 memory: 63381 loss_text: 0.2772 loss_kernel: 0.1327 loss_embedding: 0.0247 loss: 0.4346 2022/08/26 15:55:46 - mmengine - INFO - Epoch(train) [95][15/16] lr: 8.5759e-04 eta: 3:56:33 time: 2.2999 data_time: 0.0798 memory: 63381 loss_text: 0.2820 loss_kernel: 0.1334 loss_embedding: 0.0261 loss: 0.4415 2022/08/26 15:55:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:56:05 - mmengine - INFO - Epoch(train) [96][5/16] lr: 8.5606e-04 eta: 3:56:33 time: 2.8563 data_time: 0.5810 memory: 63381 loss_text: 0.2608 loss_kernel: 0.1248 loss_embedding: 0.0275 loss: 0.4131 2022/08/26 15:56:16 - mmengine - INFO - Epoch(train) [96][10/16] lr: 8.5606e-04 eta: 3:56:05 time: 2.8060 data_time: 0.5773 memory: 63381 loss_text: 0.2620 loss_kernel: 0.1268 loss_embedding: 0.0272 loss: 0.4159 2022/08/26 15:56:28 - mmengine - INFO - Epoch(train) [96][15/16] lr: 8.5606e-04 eta: 3:56:05 time: 2.2483 data_time: 0.0765 memory: 63381 loss_text: 0.2515 loss_kernel: 0.1204 loss_embedding: 0.0268 loss: 0.3988 2022/08/26 15:56:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:56:46 - mmengine - INFO - Epoch(train) [97][5/16] lr: 8.5453e-04 eta: 3:56:05 time: 2.7176 data_time: 0.5166 memory: 63381 loss_text: 0.2634 loss_kernel: 0.1225 loss_embedding: 0.0259 loss: 0.4118 2022/08/26 15:56:57 - mmengine - INFO - Epoch(train) [97][10/16] lr: 8.5453e-04 eta: 3:55:33 time: 2.7355 data_time: 0.5337 memory: 63381 loss_text: 0.2721 loss_kernel: 0.1267 loss_embedding: 0.0251 loss: 0.4239 2022/08/26 15:57:08 - mmengine - INFO - Epoch(train) [97][15/16] lr: 8.5453e-04 eta: 3:55:33 time: 2.2583 data_time: 0.0839 memory: 63381 loss_text: 0.2756 loss_kernel: 0.1287 loss_embedding: 0.0249 loss: 0.4292 2022/08/26 15:57:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:57:25 - mmengine - INFO - Epoch(train) [98][5/16] lr: 8.5300e-04 eta: 3:55:33 time: 2.6299 data_time: 0.4735 memory: 63381 loss_text: 0.2673 loss_kernel: 0.1252 loss_embedding: 0.0255 loss: 0.4180 2022/08/26 15:57:37 - mmengine - INFO - Epoch(train) [98][10/16] lr: 8.5300e-04 eta: 3:55:01 time: 2.7289 data_time: 0.5199 memory: 63381 loss_text: 0.2677 loss_kernel: 0.1263 loss_embedding: 0.0250 loss: 0.4190 2022/08/26 15:57:49 - mmengine - INFO - Epoch(train) [98][15/16] lr: 8.5300e-04 eta: 3:55:01 time: 2.3361 data_time: 0.1295 memory: 63381 loss_text: 0.2815 loss_kernel: 0.1368 loss_embedding: 0.0252 loss: 0.4435 2022/08/26 15:57:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:58:06 - mmengine - INFO - Epoch(train) [99][5/16] lr: 8.5147e-04 eta: 3:55:01 time: 2.6200 data_time: 0.5004 memory: 63381 loss_text: 0.2734 loss_kernel: 0.1334 loss_embedding: 0.0258 loss: 0.4327 2022/08/26 15:58:17 - mmengine - INFO - Epoch(train) [99][10/16] lr: 8.5147e-04 eta: 3:54:28 time: 2.7096 data_time: 0.5191 memory: 63381 loss_text: 0.2746 loss_kernel: 0.1324 loss_embedding: 0.0270 loss: 0.4341 2022/08/26 15:58:28 - mmengine - INFO - Epoch(train) [99][15/16] lr: 8.5147e-04 eta: 3:54:28 time: 2.2694 data_time: 0.0885 memory: 63381 loss_text: 0.2751 loss_kernel: 0.1292 loss_embedding: 0.0283 loss: 0.4325 2022/08/26 15:58:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:58:46 - mmengine - INFO - Epoch(train) [100][5/16] lr: 8.4994e-04 eta: 3:54:28 time: 2.6383 data_time: 0.4753 memory: 63381 loss_text: 0.2711 loss_kernel: 0.1305 loss_embedding: 0.0265 loss: 0.4281 2022/08/26 15:58:57 - mmengine - INFO - Epoch(train) [100][10/16] lr: 8.4994e-04 eta: 3:53:56 time: 2.7237 data_time: 0.5099 memory: 63381 loss_text: 0.2669 loss_kernel: 0.1295 loss_embedding: 0.0257 loss: 0.4220 2022/08/26 15:59:08 - mmengine - INFO - Epoch(train) [100][15/16] lr: 8.4994e-04 eta: 3:53:56 time: 2.2604 data_time: 0.0947 memory: 63381 loss_text: 0.2706 loss_kernel: 0.1289 loss_embedding: 0.0259 loss: 0.4254 2022/08/26 15:59:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 15:59:10 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/26 15:59:13 - mmengine - INFO - Epoch(val) [100][5/500] eta: 3:53:56 time: 0.0450 data_time: 0.0118 memory: 39748 2022/08/26 15:59:13 - mmengine - INFO - Epoch(val) [100][10/500] eta: 0:00:23 time: 0.0470 data_time: 0.0119 memory: 661 2022/08/26 15:59:14 - mmengine - INFO - Epoch(val) [100][15/500] eta: 0:00:23 time: 0.0251 data_time: 0.0023 memory: 661 2022/08/26 15:59:14 - mmengine - INFO - Epoch(val) [100][20/500] eta: 0:00:11 time: 0.0233 data_time: 0.0023 memory: 661 2022/08/26 15:59:14 - mmengine - INFO - Epoch(val) [100][25/500] eta: 0:00:11 time: 0.0219 data_time: 0.0022 memory: 661 2022/08/26 15:59:14 - mmengine - INFO - Epoch(val) [100][30/500] eta: 0:00:11 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 15:59:14 - mmengine - INFO - Epoch(val) [100][35/500] eta: 0:00:11 time: 0.0239 data_time: 0.0020 memory: 661 2022/08/26 15:59:14 - mmengine - INFO - Epoch(val) [100][40/500] eta: 0:00:11 time: 0.0244 data_time: 0.0020 memory: 661 2022/08/26 15:59:14 - mmengine - INFO - Epoch(val) [100][45/500] eta: 0:00:11 time: 0.0254 data_time: 0.0021 memory: 661 2022/08/26 15:59:14 - mmengine - INFO - Epoch(val) [100][50/500] eta: 0:00:10 time: 0.0231 data_time: 0.0022 memory: 661 2022/08/26 15:59:14 - mmengine - INFO - Epoch(val) [100][55/500] eta: 0:00:10 time: 0.0232 data_time: 0.0022 memory: 661 2022/08/26 15:59:15 - mmengine - INFO - Epoch(val) [100][60/500] eta: 0:00:10 time: 0.0230 data_time: 0.0024 memory: 661 2022/08/26 15:59:15 - mmengine - INFO - Epoch(val) [100][65/500] eta: 0:00:10 time: 0.0238 data_time: 0.0024 memory: 661 2022/08/26 15:59:15 - mmengine - INFO - Epoch(val) [100][70/500] eta: 0:00:11 time: 0.0263 data_time: 0.0023 memory: 661 2022/08/26 15:59:15 - mmengine - INFO - Epoch(val) [100][75/500] eta: 0:00:11 time: 0.0245 data_time: 0.0022 memory: 661 2022/08/26 15:59:15 - mmengine - INFO - Epoch(val) [100][80/500] eta: 0:00:08 time: 0.0214 data_time: 0.0023 memory: 661 2022/08/26 15:59:15 - mmengine - INFO - Epoch(val) [100][85/500] eta: 0:00:08 time: 0.0210 data_time: 0.0024 memory: 661 2022/08/26 15:59:15 - mmengine - INFO - Epoch(val) [100][90/500] eta: 0:00:10 time: 0.0261 data_time: 0.0026 memory: 661 2022/08/26 15:59:15 - mmengine - INFO - Epoch(val) [100][95/500] eta: 0:00:10 time: 0.0275 data_time: 0.0025 memory: 661 2022/08/26 15:59:16 - mmengine - INFO - Epoch(val) [100][100/500] eta: 0:00:09 time: 0.0228 data_time: 0.0022 memory: 661 2022/08/26 15:59:16 - mmengine - INFO - Epoch(val) [100][105/500] eta: 0:00:09 time: 0.0223 data_time: 0.0023 memory: 661 2022/08/26 15:59:16 - mmengine - INFO - Epoch(val) [100][110/500] eta: 0:00:09 time: 0.0235 data_time: 0.0025 memory: 661 2022/08/26 15:59:16 - mmengine - INFO - Epoch(val) [100][115/500] eta: 0:00:09 time: 0.0262 data_time: 0.0027 memory: 661 2022/08/26 15:59:16 - mmengine - INFO - Epoch(val) 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0:00:09 time: 0.0269 data_time: 0.0021 memory: 661 2022/08/26 15:59:17 - mmengine - INFO - Epoch(val) [100][165/500] eta: 0:00:09 time: 0.0247 data_time: 0.0021 memory: 661 2022/08/26 15:59:17 - mmengine - INFO - Epoch(val) [100][170/500] eta: 0:00:08 time: 0.0256 data_time: 0.0021 memory: 661 2022/08/26 15:59:17 - mmengine - INFO - Epoch(val) [100][175/500] eta: 0:00:08 time: 0.0233 data_time: 0.0022 memory: 661 2022/08/26 15:59:17 - mmengine - INFO - Epoch(val) [100][180/500] eta: 0:00:07 time: 0.0224 data_time: 0.0022 memory: 661 2022/08/26 15:59:18 - mmengine - INFO - Epoch(val) [100][185/500] eta: 0:00:07 time: 0.0244 data_time: 0.0021 memory: 661 2022/08/26 15:59:18 - mmengine - INFO - Epoch(val) [100][190/500] eta: 0:00:07 time: 0.0242 data_time: 0.0019 memory: 661 2022/08/26 15:59:18 - mmengine - INFO - Epoch(val) [100][195/500] eta: 0:00:07 time: 0.0225 data_time: 0.0022 memory: 661 2022/08/26 15:59:18 - mmengine - INFO - Epoch(val) [100][200/500] eta: 0:00:07 time: 0.0260 data_time: 0.0023 memory: 661 2022/08/26 15:59:18 - mmengine - INFO - Epoch(val) [100][205/500] eta: 0:00:07 time: 0.0250 data_time: 0.0019 memory: 661 2022/08/26 15:59:18 - mmengine - INFO - Epoch(val) [100][210/500] eta: 0:00:05 time: 0.0201 data_time: 0.0018 memory: 661 2022/08/26 15:59:18 - mmengine - INFO - Epoch(val) [100][215/500] eta: 0:00:05 time: 0.0213 data_time: 0.0017 memory: 661 2022/08/26 15:59:18 - mmengine - INFO - Epoch(val) [100][220/500] eta: 0:00:06 time: 0.0226 data_time: 0.0019 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][225/500] eta: 0:00:06 time: 0.0231 data_time: 0.0019 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][230/500] eta: 0:00:05 time: 0.0216 data_time: 0.0018 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][235/500] eta: 0:00:05 time: 0.0217 data_time: 0.0019 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][240/500] eta: 0:00:05 time: 0.0227 data_time: 0.0018 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][245/500] eta: 0:00:05 time: 0.0207 data_time: 0.0017 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][250/500] eta: 0:00:05 time: 0.0209 data_time: 0.0016 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][255/500] eta: 0:00:05 time: 0.0208 data_time: 0.0016 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][260/500] eta: 0:00:04 time: 0.0198 data_time: 0.0016 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][265/500] eta: 0:00:04 time: 0.0202 data_time: 0.0017 memory: 661 2022/08/26 15:59:19 - mmengine - INFO - Epoch(val) [100][270/500] eta: 0:00:04 time: 0.0207 data_time: 0.0017 memory: 661 2022/08/26 15:59:20 - mmengine - INFO - Epoch(val) [100][275/500] eta: 0:00:04 time: 0.0202 data_time: 0.0018 memory: 661 2022/08/26 15:59:20 - mmengine - INFO - Epoch(val) [100][280/500] eta: 0:00:04 time: 0.0216 data_time: 0.0018 memory: 661 2022/08/26 15:59:20 - mmengine - INFO - Epoch(val) [100][285/500] eta: 0:00:04 time: 0.0222 data_time: 0.0019 memory: 661 2022/08/26 15:59:20 - mmengine - INFO - Epoch(val) [100][290/500] eta: 0:00:04 time: 0.0226 data_time: 0.0020 memory: 661 2022/08/26 15:59:20 - mmengine - INFO - Epoch(val) [100][295/500] eta: 0:00:04 time: 0.0226 data_time: 0.0019 memory: 661 2022/08/26 15:59:20 - mmengine - INFO - Epoch(val) [100][300/500] eta: 0:00:04 time: 0.0208 data_time: 0.0018 memory: 661 2022/08/26 15:59:20 - mmengine - INFO - Epoch(val) [100][305/500] eta: 0:00:04 time: 0.0207 data_time: 0.0019 memory: 661 2022/08/26 15:59:20 - mmengine - INFO - Epoch(val) [100][310/500] eta: 0:00:03 time: 0.0205 data_time: 0.0018 memory: 661 2022/08/26 15:59:20 - mmengine - INFO - Epoch(val) [100][315/500] eta: 0:00:03 time: 0.0227 data_time: 0.0018 memory: 661 2022/08/26 15:59:21 - mmengine - INFO - Epoch(val) [100][320/500] eta: 0:00:04 time: 0.0223 data_time: 0.0018 memory: 661 2022/08/26 15:59:21 - mmengine - INFO - Epoch(val) [100][325/500] eta: 0:00:04 time: 0.0297 data_time: 0.0018 memory: 661 2022/08/26 15:59:21 - mmengine - INFO - Epoch(val) [100][330/500] eta: 0:00:05 time: 0.0299 data_time: 0.0018 memory: 661 2022/08/26 15:59:21 - mmengine - INFO - Epoch(val) [100][335/500] eta: 0:00:05 time: 0.0197 data_time: 0.0018 memory: 661 2022/08/26 15:59:21 - mmengine - INFO - Epoch(val) [100][340/500] eta: 0:00:03 time: 0.0235 data_time: 0.0019 memory: 661 2022/08/26 15:59:21 - mmengine - INFO - Epoch(val) [100][345/500] eta: 0:00:03 time: 0.0240 data_time: 0.0019 memory: 661 2022/08/26 15:59:21 - mmengine - INFO - Epoch(val) [100][350/500] eta: 0:00:03 time: 0.0233 data_time: 0.0019 memory: 661 2022/08/26 15:59:21 - mmengine - INFO - Epoch(val) [100][355/500] eta: 0:00:03 time: 0.0228 data_time: 0.0018 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][360/500] eta: 0:00:02 time: 0.0202 data_time: 0.0017 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][365/500] eta: 0:00:02 time: 0.0206 data_time: 0.0017 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][370/500] eta: 0:00:02 time: 0.0193 data_time: 0.0017 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][375/500] eta: 0:00:02 time: 0.0191 data_time: 0.0017 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][380/500] eta: 0:00:02 time: 0.0222 data_time: 0.0017 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][385/500] eta: 0:00:02 time: 0.0228 data_time: 0.0017 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][390/500] eta: 0:00:02 time: 0.0211 data_time: 0.0017 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][395/500] eta: 0:00:02 time: 0.0207 data_time: 0.0017 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][400/500] eta: 0:00:02 time: 0.0204 data_time: 0.0017 memory: 661 2022/08/26 15:59:22 - mmengine - INFO - Epoch(val) [100][405/500] eta: 0:00:02 time: 0.0211 data_time: 0.0018 memory: 661 2022/08/26 15:59:23 - mmengine - INFO - Epoch(val) [100][410/500] eta: 0:00:02 time: 0.0311 data_time: 0.0050 memory: 661 2022/08/26 15:59:23 - mmengine - INFO - Epoch(val) [100][415/500] eta: 0:00:02 time: 0.0309 data_time: 0.0050 memory: 661 2022/08/26 15:59:23 - mmengine - INFO - Epoch(val) [100][420/500] eta: 0:00:01 time: 0.0196 data_time: 0.0018 memory: 661 2022/08/26 15:59:23 - mmengine - INFO - Epoch(val) [100][425/500] eta: 0:00:01 time: 0.0195 data_time: 0.0017 memory: 661 2022/08/26 15:59:23 - mmengine - INFO - Epoch(val) [100][430/500] eta: 0:00:01 time: 0.0206 data_time: 0.0017 memory: 661 2022/08/26 15:59:23 - mmengine - INFO - Epoch(val) [100][435/500] eta: 0:00:01 time: 0.0201 data_time: 0.0016 memory: 661 2022/08/26 15:59:23 - mmengine - INFO - Epoch(val) [100][440/500] eta: 0:00:01 time: 0.0205 data_time: 0.0017 memory: 661 2022/08/26 15:59:23 - mmengine - INFO - Epoch(val) [100][445/500] eta: 0:00:01 time: 0.0221 data_time: 0.0017 memory: 661 2022/08/26 15:59:23 - mmengine - INFO - Epoch(val) [100][450/500] eta: 0:00:01 time: 0.0227 data_time: 0.0017 memory: 661 2022/08/26 15:59:24 - mmengine - INFO - Epoch(val) [100][455/500] eta: 0:00:01 time: 0.0236 data_time: 0.0020 memory: 661 2022/08/26 15:59:24 - mmengine - INFO - Epoch(val) [100][460/500] eta: 0:00:00 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 15:59:24 - mmengine - INFO - Epoch(val) [100][465/500] eta: 0:00:00 time: 0.0212 data_time: 0.0023 memory: 661 2022/08/26 15:59:24 - mmengine - INFO - Epoch(val) [100][470/500] eta: 0:00:00 time: 0.0214 data_time: 0.0023 memory: 661 2022/08/26 15:59:24 - mmengine - INFO - Epoch(val) [100][475/500] eta: 0:00:00 time: 0.0227 data_time: 0.0026 memory: 661 2022/08/26 15:59:24 - mmengine - INFO - Epoch(val) [100][480/500] eta: 0:00:00 time: 0.0238 data_time: 0.0026 memory: 661 2022/08/26 15:59:24 - mmengine - INFO - Epoch(val) [100][485/500] eta: 0:00:00 time: 0.0255 data_time: 0.0023 memory: 661 2022/08/26 15:59:24 - mmengine - INFO - Epoch(val) [100][490/500] eta: 0:00:00 time: 0.0265 data_time: 0.0025 memory: 661 2022/08/26 15:59:25 - mmengine - INFO - Epoch(val) [100][495/500] eta: 0:00:00 time: 0.0252 data_time: 0.0024 memory: 661 2022/08/26 15:59:25 - mmengine - INFO - Epoch(val) [100][500/500] eta: 0:00:00 time: 0.0229 data_time: 0.0022 memory: 661 2022/08/26 15:59:25 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.6919, precision: 0.7100, hmean: 0.7008 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.6919, precision: 0.7100, hmean: 0.7008 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.6919, precision: 0.7100, hmean: 0.7008 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.6919, precision: 0.7100, hmean: 0.7008 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.6919, precision: 0.7100, hmean: 0.7008 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.6919, precision: 0.7121, hmean: 0.7018 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6919, precision: 0.7225, hmean: 0.7068 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.6914, precision: 0.7383, hmean: 0.7141 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6890, precision: 0.7587, hmean: 0.7222 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.6866, precision: 0.7809, hmean: 0.7307 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6769, precision: 0.8062, hmean: 0.7359 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.6524, precision: 0.8354, hmean: 0.7326 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.5802, precision: 0.8732, hmean: 0.6971 2022/08/26 15:59:25 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.1473, precision: 0.9162, hmean: 0.2538 2022/08/26 15:59:25 - mmengine - INFO - Epoch(val) [100][500/500] icdar/precision: 0.8062 icdar/recall: 0.6769 icdar/hmean: 0.7359 2022/08/26 15:59:40 - mmengine - INFO - Epoch(train) [101][5/16] lr: 8.4841e-04 eta: 0:00:00 time: 2.5923 data_time: 0.4804 memory: 63381 loss_text: 0.2579 loss_kernel: 0.1259 loss_embedding: 0.0232 loss: 0.4070 2022/08/26 15:59:52 - mmengine - INFO - Epoch(train) [101][10/16] lr: 8.4841e-04 eta: 3:53:22 time: 2.6812 data_time: 0.5211 memory: 63381 loss_text: 0.2887 loss_kernel: 0.1384 loss_embedding: 0.0240 loss: 0.4511 2022/08/26 16:00:03 - mmengine - INFO - Epoch(train) [101][15/16] lr: 8.4841e-04 eta: 3:53:22 time: 2.3287 data_time: 0.1079 memory: 63381 loss_text: 0.2911 loss_kernel: 0.1365 loss_embedding: 0.0247 loss: 0.4522 2022/08/26 16:00:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:00:20 - mmengine - INFO - Epoch(train) [102][5/16] lr: 8.4688e-04 eta: 3:53:22 time: 2.5435 data_time: 0.4718 memory: 63381 loss_text: 0.2704 loss_kernel: 0.1261 loss_embedding: 0.0230 loss: 0.4196 2022/08/26 16:00:32 - mmengine - INFO - Epoch(train) [102][10/16] lr: 8.4688e-04 eta: 3:52:50 time: 2.7289 data_time: 0.5166 memory: 63381 loss_text: 0.2575 loss_kernel: 0.1241 loss_embedding: 0.0227 loss: 0.4044 2022/08/26 16:00:43 - mmengine - INFO - Epoch(train) [102][15/16] lr: 8.4688e-04 eta: 3:52:50 time: 2.3446 data_time: 0.1050 memory: 63381 loss_text: 0.2533 loss_kernel: 0.1261 loss_embedding: 0.0270 loss: 0.4064 2022/08/26 16:00:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:01:00 - mmengine - INFO - Epoch(train) [103][5/16] lr: 8.4535e-04 eta: 3:52:50 time: 2.6038 data_time: 0.4823 memory: 63381 loss_text: 0.2755 loss_kernel: 0.1343 loss_embedding: 0.0244 loss: 0.4342 2022/08/26 16:01:12 - mmengine - INFO - Epoch(train) [103][10/16] lr: 8.4535e-04 eta: 3:52:16 time: 2.6830 data_time: 0.5251 memory: 63381 loss_text: 0.2785 loss_kernel: 0.1356 loss_embedding: 0.0223 loss: 0.4364 2022/08/26 16:01:23 - mmengine - INFO - Epoch(train) [103][15/16] lr: 8.4535e-04 eta: 3:52:16 time: 2.2570 data_time: 0.1109 memory: 63381 loss_text: 0.2650 loss_kernel: 0.1297 loss_embedding: 0.0239 loss: 0.4186 2022/08/26 16:01:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:01:40 - mmengine - INFO - Epoch(train) [104][5/16] lr: 8.4382e-04 eta: 3:52:16 time: 2.5461 data_time: 0.4712 memory: 63381 loss_text: 0.2723 loss_kernel: 0.1350 loss_embedding: 0.0227 loss: 0.4299 2022/08/26 16:01:52 - mmengine - INFO - Epoch(train) [104][10/16] lr: 8.4382e-04 eta: 3:51:43 time: 2.6918 data_time: 0.4938 memory: 63381 loss_text: 0.2682 loss_kernel: 0.1310 loss_embedding: 0.0222 loss: 0.4214 2022/08/26 16:02:03 - mmengine - INFO - Epoch(train) [104][15/16] lr: 8.4382e-04 eta: 3:51:43 time: 2.3171 data_time: 0.0783 memory: 63381 loss_text: 0.2539 loss_kernel: 0.1231 loss_embedding: 0.0235 loss: 0.4006 2022/08/26 16:02:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:02:21 - mmengine - INFO - Epoch(train) [105][5/16] lr: 8.4229e-04 eta: 3:51:43 time: 2.6525 data_time: 0.4888 memory: 63381 loss_text: 0.2666 loss_kernel: 0.1279 loss_embedding: 0.0230 loss: 0.4175 2022/08/26 16:02:32 - mmengine - INFO - Epoch(train) [105][10/16] lr: 8.4229e-04 eta: 3:51:11 time: 2.7129 data_time: 0.5060 memory: 63381 loss_text: 0.2586 loss_kernel: 0.1229 loss_embedding: 0.0241 loss: 0.4056 2022/08/26 16:02:44 - mmengine - INFO - Epoch(train) [105][15/16] lr: 8.4229e-04 eta: 3:51:11 time: 2.2770 data_time: 0.0851 memory: 63381 loss_text: 0.2470 loss_kernel: 0.1171 loss_embedding: 0.0260 loss: 0.3901 2022/08/26 16:02:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:03:00 - mmengine - INFO - Epoch(train) [106][5/16] lr: 8.4076e-04 eta: 3:51:11 time: 2.5796 data_time: 0.4898 memory: 63381 loss_text: 0.2806 loss_kernel: 0.1303 loss_embedding: 0.0255 loss: 0.4363 2022/08/26 16:03:12 - mmengine - INFO - Epoch(train) [106][10/16] lr: 8.4076e-04 eta: 3:50:37 time: 2.6922 data_time: 0.5176 memory: 63381 loss_text: 0.2735 loss_kernel: 0.1309 loss_embedding: 0.0246 loss: 0.4290 2022/08/26 16:03:23 - mmengine - INFO - Epoch(train) [106][15/16] lr: 8.4076e-04 eta: 3:50:37 time: 2.2832 data_time: 0.0904 memory: 63381 loss_text: 0.2626 loss_kernel: 0.1289 loss_embedding: 0.0221 loss: 0.4136 2022/08/26 16:03:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:03:40 - mmengine - INFO - Epoch(train) [107][5/16] lr: 8.3922e-04 eta: 3:50:37 time: 2.5225 data_time: 0.4561 memory: 63381 loss_text: 0.2752 loss_kernel: 0.1341 loss_embedding: 0.0192 loss: 0.4284 2022/08/26 16:03:52 - mmengine - INFO - Epoch(train) [107][10/16] lr: 8.3922e-04 eta: 3:50:03 time: 2.6591 data_time: 0.4844 memory: 63381 loss_text: 0.2684 loss_kernel: 0.1295 loss_embedding: 0.0201 loss: 0.4179 2022/08/26 16:04:02 - mmengine - INFO - Epoch(train) [107][15/16] lr: 8.3922e-04 eta: 3:50:03 time: 2.2624 data_time: 0.1147 memory: 63381 loss_text: 0.2622 loss_kernel: 0.1289 loss_embedding: 0.0214 loss: 0.4125 2022/08/26 16:04:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:04:20 - mmengine - INFO - Epoch(train) [108][5/16] lr: 8.3769e-04 eta: 3:50:03 time: 2.5565 data_time: 0.4699 memory: 63381 loss_text: 0.2726 loss_kernel: 0.1331 loss_embedding: 0.0241 loss: 0.4298 2022/08/26 16:04:31 - mmengine - INFO - Epoch(train) [108][10/16] lr: 8.3769e-04 eta: 3:49:28 time: 2.6496 data_time: 0.4949 memory: 63381 loss_text: 0.2706 loss_kernel: 0.1355 loss_embedding: 0.0239 loss: 0.4299 2022/08/26 16:04:42 - mmengine - INFO - Epoch(train) [108][15/16] lr: 8.3769e-04 eta: 3:49:28 time: 2.2270 data_time: 0.0960 memory: 63381 loss_text: 0.2564 loss_kernel: 0.1296 loss_embedding: 0.0230 loss: 0.4090 2022/08/26 16:04:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:04:59 - mmengine - INFO - Epoch(train) [109][5/16] lr: 8.3616e-04 eta: 3:49:28 time: 2.5756 data_time: 0.5404 memory: 63381 loss_text: 0.2406 loss_kernel: 0.1189 loss_embedding: 0.0207 loss: 0.3802 2022/08/26 16:05:10 - mmengine - INFO - Epoch(train) [109][10/16] lr: 8.3616e-04 eta: 3:48:56 time: 2.7050 data_time: 0.5347 memory: 63381 loss_text: 0.2426 loss_kernel: 0.1205 loss_embedding: 0.0221 loss: 0.3852 2022/08/26 16:05:22 - mmengine - INFO - Epoch(train) [109][15/16] lr: 8.3616e-04 eta: 3:48:56 time: 2.2747 data_time: 0.0720 memory: 63381 loss_text: 0.2498 loss_kernel: 0.1213 loss_embedding: 0.0250 loss: 0.3961 2022/08/26 16:05:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:05:39 - mmengine - INFO - Epoch(train) [110][5/16] lr: 8.3463e-04 eta: 3:48:56 time: 2.6209 data_time: 0.4785 memory: 63381 loss_text: 0.2375 loss_kernel: 0.1133 loss_embedding: 0.0221 loss: 0.3729 2022/08/26 16:05:51 - mmengine - INFO - Epoch(train) [110][10/16] lr: 8.3463e-04 eta: 3:48:24 time: 2.7087 data_time: 0.5296 memory: 63381 loss_text: 0.2358 loss_kernel: 0.1158 loss_embedding: 0.0200 loss: 0.3716 2022/08/26 16:06:02 - mmengine - INFO - Epoch(train) [110][15/16] lr: 8.3463e-04 eta: 3:48:24 time: 2.3234 data_time: 0.1200 memory: 63381 loss_text: 0.2561 loss_kernel: 0.1252 loss_embedding: 0.0214 loss: 0.4027 2022/08/26 16:06:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:06:19 - mmengine - INFO - Epoch(train) [111][5/16] lr: 8.3309e-04 eta: 3:48:24 time: 2.6492 data_time: 0.5375 memory: 63381 loss_text: 0.2786 loss_kernel: 0.1352 loss_embedding: 0.0229 loss: 0.4366 2022/08/26 16:06:32 - mmengine - INFO - Epoch(train) [111][10/16] lr: 8.3309e-04 eta: 3:47:56 time: 2.7948 data_time: 0.6033 memory: 63381 loss_text: 0.2721 loss_kernel: 0.1302 loss_embedding: 0.0227 loss: 0.4251 2022/08/26 16:06:42 - mmengine - INFO - Epoch(train) [111][15/16] lr: 8.3309e-04 eta: 3:47:56 time: 2.2829 data_time: 0.1234 memory: 63381 loss_text: 0.2554 loss_kernel: 0.1234 loss_embedding: 0.0212 loss: 0.4000 2022/08/26 16:06:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:07:00 - mmengine - INFO - Epoch(train) [112][5/16] lr: 8.3156e-04 eta: 3:47:56 time: 2.6533 data_time: 0.5469 memory: 63381 loss_text: 0.2388 loss_kernel: 0.1204 loss_embedding: 0.0199 loss: 0.3790 2022/08/26 16:07:12 - mmengine - INFO - Epoch(train) [112][10/16] lr: 8.3156e-04 eta: 3:47:28 time: 2.7888 data_time: 0.5889 memory: 63381 loss_text: 0.2367 loss_kernel: 0.1194 loss_embedding: 0.0213 loss: 0.3774 2022/08/26 16:07:23 - mmengine - INFO - Epoch(train) [112][15/16] lr: 8.3156e-04 eta: 3:47:28 time: 2.2399 data_time: 0.0965 memory: 63381 loss_text: 0.2547 loss_kernel: 0.1289 loss_embedding: 0.0217 loss: 0.4053 2022/08/26 16:07:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:07:41 - mmengine - INFO - Epoch(train) [113][5/16] lr: 8.3003e-04 eta: 3:47:28 time: 2.6495 data_time: 0.6003 memory: 63381 loss_text: 0.2701 loss_kernel: 0.1365 loss_embedding: 0.0204 loss: 0.4270 2022/08/26 16:07:53 - mmengine - INFO - Epoch(train) [113][10/16] lr: 8.3003e-04 eta: 3:47:02 time: 2.8355 data_time: 0.6226 memory: 63381 loss_text: 0.2751 loss_kernel: 0.1357 loss_embedding: 0.0203 loss: 0.4312 2022/08/26 16:08:04 - mmengine - INFO - Epoch(train) [113][15/16] lr: 8.3003e-04 eta: 3:47:02 time: 2.2962 data_time: 0.0784 memory: 63381 loss_text: 0.2582 loss_kernel: 0.1274 loss_embedding: 0.0215 loss: 0.4071 2022/08/26 16:08:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:08:22 - mmengine - INFO - Epoch(train) [114][5/16] lr: 8.2849e-04 eta: 3:47:02 time: 2.6943 data_time: 0.5410 memory: 63381 loss_text: 0.2468 loss_kernel: 0.1257 loss_embedding: 0.0231 loss: 0.3955 2022/08/26 16:08:34 - mmengine - INFO - Epoch(train) [114][10/16] lr: 8.2849e-04 eta: 3:46:33 time: 2.7695 data_time: 0.5975 memory: 63381 loss_text: 0.2499 loss_kernel: 0.1255 loss_embedding: 0.0223 loss: 0.3977 2022/08/26 16:08:45 - mmengine - INFO - Epoch(train) [114][15/16] lr: 8.2849e-04 eta: 3:46:33 time: 2.2322 data_time: 0.0995 memory: 63381 loss_text: 0.2576 loss_kernel: 0.1276 loss_embedding: 0.0208 loss: 0.4059 2022/08/26 16:08:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:09:02 - mmengine - INFO - Epoch(train) [115][5/16] lr: 8.2696e-04 eta: 3:46:33 time: 2.6247 data_time: 0.5030 memory: 63381 loss_text: 0.2557 loss_kernel: 0.1249 loss_embedding: 0.0205 loss: 0.4011 2022/08/26 16:09:14 - mmengine - INFO - Epoch(train) [115][10/16] lr: 8.2696e-04 eta: 3:46:03 time: 2.7448 data_time: 0.5474 memory: 63381 loss_text: 0.2376 loss_kernel: 0.1163 loss_embedding: 0.0217 loss: 0.3756 2022/08/26 16:09:25 - mmengine - INFO - Epoch(train) [115][15/16] lr: 8.2696e-04 eta: 3:46:03 time: 2.2765 data_time: 0.0882 memory: 63381 loss_text: 0.2560 loss_kernel: 0.1257 loss_embedding: 0.0206 loss: 0.4023 2022/08/26 16:09:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:09:42 - mmengine - INFO - Epoch(train) [116][5/16] lr: 8.2542e-04 eta: 3:46:03 time: 2.5849 data_time: 0.4676 memory: 63381 loss_text: 0.2580 loss_kernel: 0.1277 loss_embedding: 0.0217 loss: 0.4074 2022/08/26 16:09:53 - mmengine - INFO - Epoch(train) [116][10/16] lr: 8.2542e-04 eta: 3:45:30 time: 2.6749 data_time: 0.5085 memory: 63381 loss_text: 0.2637 loss_kernel: 0.1294 loss_embedding: 0.0197 loss: 0.4128 2022/08/26 16:10:04 - mmengine - INFO - Epoch(train) [116][15/16] lr: 8.2542e-04 eta: 3:45:30 time: 2.2414 data_time: 0.0918 memory: 63381 loss_text: 0.2735 loss_kernel: 0.1352 loss_embedding: 0.0210 loss: 0.4297 2022/08/26 16:10:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:10:21 - mmengine - INFO - Epoch(train) [117][5/16] lr: 8.2389e-04 eta: 3:45:30 time: 2.5700 data_time: 0.4983 memory: 63381 loss_text: 0.2748 loss_kernel: 0.1364 loss_embedding: 0.0214 loss: 0.4326 2022/08/26 16:10:33 - mmengine - INFO - Epoch(train) [117][10/16] lr: 8.2389e-04 eta: 3:44:57 time: 2.6702 data_time: 0.5286 memory: 63381 loss_text: 0.2586 loss_kernel: 0.1274 loss_embedding: 0.0188 loss: 0.4048 2022/08/26 16:10:44 - mmengine - INFO - Epoch(train) [117][15/16] lr: 8.2389e-04 eta: 3:44:57 time: 2.2913 data_time: 0.0844 memory: 63381 loss_text: 0.2379 loss_kernel: 0.1175 loss_embedding: 0.0194 loss: 0.3747 2022/08/26 16:10:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:11:01 - mmengine - INFO - Epoch(train) [118][5/16] lr: 8.2235e-04 eta: 3:44:57 time: 2.5555 data_time: 0.4753 memory: 63381 loss_text: 0.2432 loss_kernel: 0.1226 loss_embedding: 0.0213 loss: 0.3871 2022/08/26 16:11:12 - mmengine - INFO - Epoch(train) [118][10/16] lr: 8.2235e-04 eta: 3:44:24 time: 2.6645 data_time: 0.4899 memory: 63381 loss_text: 0.2507 loss_kernel: 0.1247 loss_embedding: 0.0222 loss: 0.3977 2022/08/26 16:11:23 - mmengine - INFO - Epoch(train) [118][15/16] lr: 8.2235e-04 eta: 3:44:24 time: 2.2504 data_time: 0.0801 memory: 63381 loss_text: 0.2584 loss_kernel: 0.1288 loss_embedding: 0.0209 loss: 0.4082 2022/08/26 16:11:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:11:41 - mmengine - INFO - Epoch(train) [119][5/16] lr: 8.2082e-04 eta: 3:44:24 time: 2.5868 data_time: 0.4686 memory: 63381 loss_text: 0.2417 loss_kernel: 0.1239 loss_embedding: 0.0217 loss: 0.3873 2022/08/26 16:11:53 - mmengine - INFO - Epoch(train) [119][10/16] lr: 8.2082e-04 eta: 3:43:56 time: 2.8041 data_time: 0.5190 memory: 63381 loss_text: 0.2587 loss_kernel: 0.1313 loss_embedding: 0.0223 loss: 0.4123 2022/08/26 16:12:04 - mmengine - INFO - Epoch(train) [119][15/16] lr: 8.2082e-04 eta: 3:43:56 time: 2.3656 data_time: 0.1134 memory: 63381 loss_text: 0.2745 loss_kernel: 0.1363 loss_embedding: 0.0228 loss: 0.4336 2022/08/26 16:12:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:12:21 - mmengine - INFO - Epoch(train) [120][5/16] lr: 8.1928e-04 eta: 3:43:56 time: 2.5902 data_time: 0.5150 memory: 63381 loss_text: 0.2442 loss_kernel: 0.1215 loss_embedding: 0.0233 loss: 0.3889 2022/08/26 16:12:33 - mmengine - INFO - Epoch(train) [120][10/16] lr: 8.1928e-04 eta: 3:43:26 time: 2.7238 data_time: 0.5208 memory: 63381 loss_text: 0.2656 loss_kernel: 0.1277 loss_embedding: 0.0218 loss: 0.4151 2022/08/26 16:12:44 - mmengine - INFO - Epoch(train) [120][15/16] lr: 8.1928e-04 eta: 3:43:26 time: 2.2703 data_time: 0.0743 memory: 63381 loss_text: 0.2869 loss_kernel: 0.1372 loss_embedding: 0.0222 loss: 0.4463 2022/08/26 16:12:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:12:46 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/26 16:12:49 - mmengine - INFO - Epoch(val) [120][5/500] eta: 3:43:26 time: 0.0469 data_time: 0.0137 memory: 39748 2022/08/26 16:12:49 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:00:23 time: 0.0485 data_time: 0.0136 memory: 661 2022/08/26 16:12:49 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:00:23 time: 0.0239 data_time: 0.0022 memory: 661 2022/08/26 16:12:50 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:00:10 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 16:12:50 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:00:10 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 16:12:50 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:00:11 time: 0.0240 data_time: 0.0020 memory: 661 2022/08/26 16:12:50 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:00:11 time: 0.0241 data_time: 0.0020 memory: 661 2022/08/26 16:12:50 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:11 time: 0.0249 data_time: 0.0020 memory: 661 2022/08/26 16:12:50 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:11 time: 0.0260 data_time: 0.0022 memory: 661 2022/08/26 16:12:50 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:10 time: 0.0233 data_time: 0.0022 memory: 661 2022/08/26 16:12:50 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:10 time: 0.0234 data_time: 0.0021 memory: 661 2022/08/26 16:12:51 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:00:09 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 16:12:51 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:00:09 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 16:12:51 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:00:10 time: 0.0255 data_time: 0.0021 memory: 661 2022/08/26 16:12:51 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:00:10 time: 0.0233 data_time: 0.0024 memory: 661 2022/08/26 16:12:51 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:00:08 time: 0.0208 data_time: 0.0025 memory: 661 2022/08/26 16:12:51 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:00:08 time: 0.0197 data_time: 0.0022 memory: 661 2022/08/26 16:12:51 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:00:09 time: 0.0235 data_time: 0.0021 memory: 661 2022/08/26 16:12:51 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:00:09 time: 0.0248 data_time: 0.0020 memory: 661 2022/08/26 16:12:51 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:00:08 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 16:12:52 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:00:08 time: 0.0222 data_time: 0.0022 memory: 661 2022/08/26 16:12:52 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:00:08 time: 0.0222 data_time: 0.0023 memory: 661 2022/08/26 16:12:52 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:00:08 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 16:12:52 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:08 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 16:12:52 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:08 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 16:12:52 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:00:07 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 16:12:52 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:00:07 time: 0.0218 data_time: 0.0019 memory: 661 2022/08/26 16:12:52 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:07 time: 0.0221 data_time: 0.0019 memory: 661 2022/08/26 16:12:52 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:07 time: 0.0233 data_time: 0.0019 memory: 661 2022/08/26 16:12:53 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:08 time: 0.0235 data_time: 0.0019 memory: 661 2022/08/26 16:12:53 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:08 time: 0.0258 data_time: 0.0020 memory: 661 2022/08/26 16:12:53 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:08 time: 0.0262 data_time: 0.0019 memory: 661 2022/08/26 16:12:53 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:08 time: 0.0243 data_time: 0.0019 memory: 661 2022/08/26 16:12:53 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:08 time: 0.0249 data_time: 0.0018 memory: 661 2022/08/26 16:12:53 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:08 time: 0.0223 data_time: 0.0019 memory: 661 2022/08/26 16:12:53 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:06 time: 0.0213 data_time: 0.0019 memory: 661 2022/08/26 16:12:53 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:06 time: 0.0232 data_time: 0.0018 memory: 661 2022/08/26 16:12:54 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:07 time: 0.0235 data_time: 0.0018 memory: 661 2022/08/26 16:12:54 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:07 time: 0.0222 data_time: 0.0018 memory: 661 2022/08/26 16:12:54 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:00:07 time: 0.0251 data_time: 0.0019 memory: 661 2022/08/26 16:12:54 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:00:07 time: 0.0249 data_time: 0.0023 memory: 661 2022/08/26 16:12:54 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:00:05 time: 0.0205 data_time: 0.0024 memory: 661 2022/08/26 16:12:54 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:00:05 time: 0.0211 data_time: 0.0020 memory: 661 2022/08/26 16:12:54 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:06 time: 0.0226 data_time: 0.0020 memory: 661 2022/08/26 16:12:54 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:06 time: 0.0239 data_time: 0.0027 memory: 661 2022/08/26 16:12:54 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:05 time: 0.0219 data_time: 0.0026 memory: 661 2022/08/26 16:12:55 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:05 time: 0.0210 data_time: 0.0019 memory: 661 2022/08/26 16:12:55 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:05 time: 0.0225 data_time: 0.0018 memory: 661 2022/08/26 16:12:55 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:05 time: 0.0211 data_time: 0.0018 memory: 661 2022/08/26 16:12:55 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:05 time: 0.0217 data_time: 0.0018 memory: 661 2022/08/26 16:12:55 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:05 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 16:12:55 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:05 time: 0.0210 data_time: 0.0020 memory: 661 2022/08/26 16:12:55 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:05 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 16:12:55 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:04 time: 0.0211 data_time: 0.0020 memory: 661 2022/08/26 16:12:55 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:04 time: 0.0200 data_time: 0.0018 memory: 661 2022/08/26 16:12:56 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:04 time: 0.0216 data_time: 0.0018 memory: 661 2022/08/26 16:12:56 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:04 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 16:12:56 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:00:04 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 16:12:56 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:00:04 time: 0.0219 data_time: 0.0019 memory: 661 2022/08/26 16:12:56 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:04 time: 0.0207 data_time: 0.0018 memory: 661 2022/08/26 16:12:56 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:04 time: 0.0204 data_time: 0.0018 memory: 661 2022/08/26 16:12:56 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:03 time: 0.0208 data_time: 0.0019 memory: 661 2022/08/26 16:12:56 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:03 time: 0.0232 data_time: 0.0019 memory: 661 2022/08/26 16:12:56 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:04 time: 0.0231 data_time: 0.0020 memory: 661 2022/08/26 16:12:57 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:04 time: 0.0308 data_time: 0.0019 memory: 661 2022/08/26 16:12:57 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:05 time: 0.0308 data_time: 0.0019 memory: 661 2022/08/26 16:12:57 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:05 time: 0.0206 data_time: 0.0020 memory: 661 2022/08/26 16:12:57 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:04 time: 0.0250 data_time: 0.0021 memory: 661 2022/08/26 16:12:57 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:04 time: 0.0256 data_time: 0.0021 memory: 661 2022/08/26 16:12:57 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:03 time: 0.0250 data_time: 0.0019 memory: 661 2022/08/26 16:12:57 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:03 time: 0.0245 data_time: 0.0019 memory: 661 2022/08/26 16:12:57 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:03 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 16:12:57 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:03 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 16:12:58 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:02 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 16:12:58 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:02 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 16:12:58 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:03 time: 0.0255 data_time: 0.0022 memory: 661 2022/08/26 16:12:58 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:03 time: 0.0255 data_time: 0.0021 memory: 661 2022/08/26 16:12:58 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:02 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 16:12:58 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:02 time: 0.0242 data_time: 0.0023 memory: 661 2022/08/26 16:12:58 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:02 time: 0.0226 data_time: 0.0022 memory: 661 2022/08/26 16:12:58 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:02 time: 0.0230 data_time: 0.0022 memory: 661 2022/08/26 16:12:59 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:02 time: 0.0249 data_time: 0.0024 memory: 661 2022/08/26 16:12:59 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:02 time: 0.0254 data_time: 0.0032 memory: 661 2022/08/26 16:12:59 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:01 time: 0.0225 data_time: 0.0030 memory: 661 2022/08/26 16:12:59 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:01 time: 0.0224 data_time: 0.0027 memory: 661 2022/08/26 16:12:59 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:01 time: 0.0244 data_time: 0.0035 memory: 661 2022/08/26 16:12:59 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:01 time: 0.0233 data_time: 0.0030 memory: 661 2022/08/26 16:12:59 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:01 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 16:12:59 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:01 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 16:13:00 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:01 time: 0.0248 data_time: 0.0021 memory: 661 2022/08/26 16:13:00 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:01 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 16:13:00 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:00 time: 0.0239 data_time: 0.0023 memory: 661 2022/08/26 16:13:00 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:00 time: 0.0238 data_time: 0.0026 memory: 661 2022/08/26 16:13:00 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:00 time: 0.0229 data_time: 0.0024 memory: 661 2022/08/26 16:13:00 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:00 time: 0.0218 data_time: 0.0023 memory: 661 2022/08/26 16:13:00 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:00 time: 0.0227 data_time: 0.0023 memory: 661 2022/08/26 16:13:00 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:00 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 16:13:00 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:00 time: 0.0243 data_time: 0.0023 memory: 661 2022/08/26 16:13:01 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:00 time: 0.0249 data_time: 0.0021 memory: 661 2022/08/26 16:13:01 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 16:13:01 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7169, precision: 0.7034, hmean: 0.7101 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7169, precision: 0.7034, hmean: 0.7101 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7169, precision: 0.7034, hmean: 0.7101 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7169, precision: 0.7034, hmean: 0.7101 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7169, precision: 0.7034, hmean: 0.7101 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7169, precision: 0.7054, hmean: 0.7111 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7169, precision: 0.7148, hmean: 0.7159 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7164, precision: 0.7348, hmean: 0.7255 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7140, precision: 0.7486, hmean: 0.7309 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7097, precision: 0.7721, hmean: 0.7396 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7063, precision: 0.7896, hmean: 0.7456 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.6880, precision: 0.8161, hmean: 0.7466 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6278, precision: 0.8540, hmean: 0.7236 2022/08/26 16:13:01 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.1796, precision: 0.9233, hmean: 0.3007 2022/08/26 16:13:01 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.8161 icdar/recall: 0.6880 icdar/hmean: 0.7466 2022/08/26 16:13:16 - mmengine - INFO - Epoch(train) [121][5/16] lr: 8.1774e-04 eta: 0:00:00 time: 2.5981 data_time: 0.4686 memory: 63381 loss_text: 0.2743 loss_kernel: 0.1325 loss_embedding: 0.0219 loss: 0.4287 2022/08/26 16:13:28 - mmengine - INFO - Epoch(train) [121][10/16] lr: 8.1774e-04 eta: 3:42:54 time: 2.6884 data_time: 0.5080 memory: 63381 loss_text: 0.2744 loss_kernel: 0.1330 loss_embedding: 0.0203 loss: 0.4277 2022/08/26 16:13:39 - mmengine - INFO - Epoch(train) [121][15/16] lr: 8.1774e-04 eta: 3:42:54 time: 2.2550 data_time: 0.0827 memory: 63381 loss_text: 0.2496 loss_kernel: 0.1218 loss_embedding: 0.0211 loss: 0.3925 2022/08/26 16:13:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:13:57 - mmengine - INFO - Epoch(train) [122][5/16] lr: 8.1621e-04 eta: 3:42:54 time: 2.6601 data_time: 0.4940 memory: 63381 loss_text: 0.2488 loss_kernel: 0.1254 loss_embedding: 0.0226 loss: 0.3967 2022/08/26 16:14:08 - mmengine - INFO - Epoch(train) [122][10/16] lr: 8.1621e-04 eta: 3:42:24 time: 2.7427 data_time: 0.5227 memory: 63381 loss_text: 0.2591 loss_kernel: 0.1295 loss_embedding: 0.0213 loss: 0.4098 2022/08/26 16:14:19 - mmengine - INFO - Epoch(train) [122][15/16] lr: 8.1621e-04 eta: 3:42:24 time: 2.2505 data_time: 0.0919 memory: 63381 loss_text: 0.2516 loss_kernel: 0.1225 loss_embedding: 0.0236 loss: 0.3978 2022/08/26 16:14:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:14:37 - mmengine - INFO - Epoch(train) [123][5/16] lr: 8.1467e-04 eta: 3:42:24 time: 2.6526 data_time: 0.4799 memory: 63381 loss_text: 0.2475 loss_kernel: 0.1236 loss_embedding: 0.0216 loss: 0.3927 2022/08/26 16:14:48 - mmengine - INFO - Epoch(train) [123][10/16] lr: 8.1467e-04 eta: 3:41:53 time: 2.7215 data_time: 0.5022 memory: 63381 loss_text: 0.2656 loss_kernel: 0.1351 loss_embedding: 0.0191 loss: 0.4199 2022/08/26 16:14:59 - mmengine - INFO - Epoch(train) [123][15/16] lr: 8.1467e-04 eta: 3:41:53 time: 2.2721 data_time: 0.0809 memory: 63381 loss_text: 0.2509 loss_kernel: 0.1274 loss_embedding: 0.0208 loss: 0.3990 2022/08/26 16:15:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:15:17 - mmengine - INFO - Epoch(train) [124][5/16] lr: 8.1313e-04 eta: 3:41:53 time: 2.6809 data_time: 0.5500 memory: 63381 loss_text: 0.2384 loss_kernel: 0.1191 loss_embedding: 0.0207 loss: 0.3783 2022/08/26 16:15:29 - mmengine - INFO - Epoch(train) [124][10/16] lr: 8.1313e-04 eta: 3:41:25 time: 2.7738 data_time: 0.5893 memory: 63381 loss_text: 0.2471 loss_kernel: 0.1208 loss_embedding: 0.0202 loss: 0.3882 2022/08/26 16:15:40 - mmengine - INFO - Epoch(train) [124][15/16] lr: 8.1313e-04 eta: 3:41:25 time: 2.2657 data_time: 0.0929 memory: 63381 loss_text: 0.2425 loss_kernel: 0.1175 loss_embedding: 0.0211 loss: 0.3811 2022/08/26 16:15:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:15:57 - mmengine - INFO - Epoch(train) [125][5/16] lr: 8.1160e-04 eta: 3:41:25 time: 2.5701 data_time: 0.4650 memory: 63381 loss_text: 0.2487 loss_kernel: 0.1205 loss_embedding: 0.0221 loss: 0.3914 2022/08/26 16:16:08 - mmengine - INFO - Epoch(train) [125][10/16] lr: 8.1160e-04 eta: 3:40:53 time: 2.6892 data_time: 0.5208 memory: 63381 loss_text: 0.2509 loss_kernel: 0.1232 loss_embedding: 0.0220 loss: 0.3961 2022/08/26 16:16:20 - mmengine - INFO - Epoch(train) [125][15/16] lr: 8.1160e-04 eta: 3:40:53 time: 2.3027 data_time: 0.1014 memory: 63381 loss_text: 0.2500 loss_kernel: 0.1227 loss_embedding: 0.0235 loss: 0.3962 2022/08/26 16:16:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:16:37 - mmengine - INFO - Epoch(train) [126][5/16] lr: 8.1006e-04 eta: 3:40:53 time: 2.6237 data_time: 0.4710 memory: 63381 loss_text: 0.2577 loss_kernel: 0.1252 loss_embedding: 0.0231 loss: 0.4059 2022/08/26 16:16:49 - mmengine - INFO - Epoch(train) [126][10/16] lr: 8.1006e-04 eta: 3:40:24 time: 2.7538 data_time: 0.5531 memory: 63381 loss_text: 0.2578 loss_kernel: 0.1260 loss_embedding: 0.0218 loss: 0.4056 2022/08/26 16:17:00 - mmengine - INFO - Epoch(train) [126][15/16] lr: 8.1006e-04 eta: 3:40:24 time: 2.3339 data_time: 0.1380 memory: 63381 loss_text: 0.2529 loss_kernel: 0.1263 loss_embedding: 0.0222 loss: 0.4015 2022/08/26 16:17:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:17:17 - mmengine - INFO - Epoch(train) [127][5/16] lr: 8.0852e-04 eta: 3:40:24 time: 2.6334 data_time: 0.4946 memory: 63381 loss_text: 0.2297 loss_kernel: 0.1174 loss_embedding: 0.0244 loss: 0.3715 2022/08/26 16:17:28 - mmengine - INFO - Epoch(train) [127][10/16] lr: 8.0852e-04 eta: 3:39:53 time: 2.7146 data_time: 0.5289 memory: 63381 loss_text: 0.2556 loss_kernel: 0.1310 loss_embedding: 0.0214 loss: 0.4080 2022/08/26 16:17:39 - mmengine - INFO - Epoch(train) [127][15/16] lr: 8.0852e-04 eta: 3:39:53 time: 2.2267 data_time: 0.0789 memory: 63381 loss_text: 0.2660 loss_kernel: 0.1329 loss_embedding: 0.0193 loss: 0.4182 2022/08/26 16:17:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:17:57 - mmengine - INFO - Epoch(train) [128][5/16] lr: 8.0698e-04 eta: 3:39:53 time: 2.6509 data_time: 0.4920 memory: 63381 loss_text: 0.2476 loss_kernel: 0.1211 loss_embedding: 0.0193 loss: 0.3880 2022/08/26 16:18:08 - mmengine - INFO - Epoch(train) [128][10/16] lr: 8.0698e-04 eta: 3:39:23 time: 2.7114 data_time: 0.5065 memory: 63381 loss_text: 0.2475 loss_kernel: 0.1209 loss_embedding: 0.0198 loss: 0.3882 2022/08/26 16:18:20 - mmengine - INFO - Epoch(train) [128][15/16] lr: 8.0698e-04 eta: 3:39:23 time: 2.2727 data_time: 0.0812 memory: 63381 loss_text: 0.2283 loss_kernel: 0.1127 loss_embedding: 0.0191 loss: 0.3601 2022/08/26 16:18:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:18:37 - mmengine - INFO - Epoch(train) [129][5/16] lr: 8.0544e-04 eta: 3:39:23 time: 2.5890 data_time: 0.4687 memory: 63381 loss_text: 0.2493 loss_kernel: 0.1227 loss_embedding: 0.0199 loss: 0.3919 2022/08/26 16:18:48 - mmengine - INFO - Epoch(train) [129][10/16] lr: 8.0544e-04 eta: 3:38:51 time: 2.6913 data_time: 0.5306 memory: 63381 loss_text: 0.2495 loss_kernel: 0.1242 loss_embedding: 0.0235 loss: 0.3971 2022/08/26 16:19:00 - mmengine - INFO - Epoch(train) [129][15/16] lr: 8.0544e-04 eta: 3:38:51 time: 2.3124 data_time: 0.1675 memory: 63381 loss_text: 0.2432 loss_kernel: 0.1219 loss_embedding: 0.0210 loss: 0.3861 2022/08/26 16:19:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:19:17 - mmengine - INFO - Epoch(train) [130][5/16] lr: 8.0390e-04 eta: 3:38:51 time: 2.5880 data_time: 0.4865 memory: 63381 loss_text: 0.2594 loss_kernel: 0.1270 loss_embedding: 0.0200 loss: 0.4064 2022/08/26 16:19:28 - mmengine - INFO - Epoch(train) [130][10/16] lr: 8.0390e-04 eta: 3:38:19 time: 2.6692 data_time: 0.4936 memory: 63381 loss_text: 0.2543 loss_kernel: 0.1261 loss_embedding: 0.0201 loss: 0.4005 2022/08/26 16:19:40 - mmengine - INFO - Epoch(train) [130][15/16] lr: 8.0390e-04 eta: 3:38:19 time: 2.2848 data_time: 0.1189 memory: 63381 loss_text: 0.2500 loss_kernel: 0.1248 loss_embedding: 0.0214 loss: 0.3961 2022/08/26 16:19:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:19:57 - mmengine - INFO - Epoch(train) [131][5/16] lr: 8.0236e-04 eta: 3:38:19 time: 2.6679 data_time: 0.4969 memory: 63381 loss_text: 0.2540 loss_kernel: 0.1280 loss_embedding: 0.0213 loss: 0.4033 2022/08/26 16:20:08 - mmengine - INFO - Epoch(train) [131][10/16] lr: 8.0236e-04 eta: 3:37:48 time: 2.6908 data_time: 0.5142 memory: 63381 loss_text: 0.2521 loss_kernel: 0.1270 loss_embedding: 0.0203 loss: 0.3994 2022/08/26 16:20:20 - mmengine - INFO - Epoch(train) [131][15/16] lr: 8.0236e-04 eta: 3:37:48 time: 2.2917 data_time: 0.0955 memory: 63381 loss_text: 0.2328 loss_kernel: 0.1185 loss_embedding: 0.0201 loss: 0.3714 2022/08/26 16:20:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:20:37 - mmengine - INFO - Epoch(train) [132][5/16] lr: 8.0082e-04 eta: 3:37:48 time: 2.6762 data_time: 0.4868 memory: 63381 loss_text: 0.2331 loss_kernel: 0.1186 loss_embedding: 0.0232 loss: 0.3749 2022/08/26 16:20:48 - mmengine - INFO - Epoch(train) [132][10/16] lr: 8.0082e-04 eta: 3:37:16 time: 2.6732 data_time: 0.4927 memory: 63381 loss_text: 0.2372 loss_kernel: 0.1196 loss_embedding: 0.0216 loss: 0.3784 2022/08/26 16:21:00 - mmengine - INFO - Epoch(train) [132][15/16] lr: 8.0082e-04 eta: 3:37:16 time: 2.2477 data_time: 0.0825 memory: 63381 loss_text: 0.2382 loss_kernel: 0.1186 loss_embedding: 0.0210 loss: 0.3777 2022/08/26 16:21:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:21:17 - mmengine - INFO - Epoch(train) [133][5/16] lr: 7.9928e-04 eta: 3:37:16 time: 2.6357 data_time: 0.4971 memory: 63381 loss_text: 0.2340 loss_kernel: 0.1176 loss_embedding: 0.0205 loss: 0.3722 2022/08/26 16:21:29 - mmengine - INFO - Epoch(train) [133][10/16] lr: 7.9928e-04 eta: 3:36:47 time: 2.7374 data_time: 0.5414 memory: 63381 loss_text: 0.2519 loss_kernel: 0.1259 loss_embedding: 0.0211 loss: 0.3989 2022/08/26 16:21:40 - mmengine - INFO - Epoch(train) [133][15/16] lr: 7.9928e-04 eta: 3:36:47 time: 2.2850 data_time: 0.1149 memory: 63381 loss_text: 0.2628 loss_kernel: 0.1317 loss_embedding: 0.0204 loss: 0.4149 2022/08/26 16:21:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:21:58 - mmengine - INFO - Epoch(train) [134][5/16] lr: 7.9774e-04 eta: 3:36:47 time: 2.7403 data_time: 0.5391 memory: 63381 loss_text: 0.2539 loss_kernel: 0.1278 loss_embedding: 0.0191 loss: 0.4008 2022/08/26 16:22:09 - mmengine - INFO - Epoch(train) [134][10/16] lr: 7.9774e-04 eta: 3:36:19 time: 2.7846 data_time: 0.5526 memory: 63381 loss_text: 0.2416 loss_kernel: 0.1232 loss_embedding: 0.0185 loss: 0.3833 2022/08/26 16:22:21 - mmengine - INFO - Epoch(train) [134][15/16] lr: 7.9774e-04 eta: 3:36:19 time: 2.2520 data_time: 0.1002 memory: 63381 loss_text: 0.2458 loss_kernel: 0.1248 loss_embedding: 0.0203 loss: 0.3909 2022/08/26 16:22:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:22:38 - mmengine - INFO - Epoch(train) [135][5/16] lr: 7.9620e-04 eta: 3:36:19 time: 2.6538 data_time: 0.5082 memory: 63381 loss_text: 0.2479 loss_kernel: 0.1215 loss_embedding: 0.0208 loss: 0.3902 2022/08/26 16:22:49 - mmengine - INFO - Epoch(train) [135][10/16] lr: 7.9620e-04 eta: 3:35:49 time: 2.7255 data_time: 0.5194 memory: 63381 loss_text: 0.2479 loss_kernel: 0.1214 loss_embedding: 0.0214 loss: 0.3907 2022/08/26 16:23:01 - mmengine - INFO - Epoch(train) [135][15/16] lr: 7.9620e-04 eta: 3:35:49 time: 2.2753 data_time: 0.0828 memory: 63381 loss_text: 0.2496 loss_kernel: 0.1244 loss_embedding: 0.0206 loss: 0.3945 2022/08/26 16:23:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:23:19 - mmengine - INFO - Epoch(train) [136][5/16] lr: 7.9466e-04 eta: 3:35:49 time: 2.6831 data_time: 0.4887 memory: 63381 loss_text: 0.2385 loss_kernel: 0.1206 loss_embedding: 0.0176 loss: 0.3767 2022/08/26 16:23:30 - mmengine - INFO - Epoch(train) [136][10/16] lr: 7.9466e-04 eta: 3:35:20 time: 2.7510 data_time: 0.5314 memory: 63381 loss_text: 0.2419 loss_kernel: 0.1211 loss_embedding: 0.0194 loss: 0.3824 2022/08/26 16:23:42 - mmengine - INFO - Epoch(train) [136][15/16] lr: 7.9466e-04 eta: 3:35:20 time: 2.2900 data_time: 0.1101 memory: 63381 loss_text: 0.2485 loss_kernel: 0.1229 loss_embedding: 0.0231 loss: 0.3945 2022/08/26 16:23:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:23:59 - mmengine - INFO - Epoch(train) [137][5/16] lr: 7.9312e-04 eta: 3:35:20 time: 2.6350 data_time: 0.4903 memory: 63381 loss_text: 0.2509 loss_kernel: 0.1268 loss_embedding: 0.0214 loss: 0.3991 2022/08/26 16:24:10 - mmengine - INFO - Epoch(train) [137][10/16] lr: 7.9312e-04 eta: 3:34:49 time: 2.6667 data_time: 0.5024 memory: 63381 loss_text: 0.2490 loss_kernel: 0.1270 loss_embedding: 0.0201 loss: 0.3961 2022/08/26 16:24:22 - mmengine - INFO - Epoch(train) [137][15/16] lr: 7.9312e-04 eta: 3:34:49 time: 2.2964 data_time: 0.0885 memory: 63381 loss_text: 0.2268 loss_kernel: 0.1193 loss_embedding: 0.0189 loss: 0.3650 2022/08/26 16:24:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:24:39 - mmengine - INFO - Epoch(train) [138][5/16] lr: 7.9158e-04 eta: 3:34:49 time: 2.6694 data_time: 0.4758 memory: 63381 loss_text: 0.2430 loss_kernel: 0.1210 loss_embedding: 0.0182 loss: 0.3822 2022/08/26 16:24:51 - mmengine - INFO - Epoch(train) [138][10/16] lr: 7.9158e-04 eta: 3:34:21 time: 2.7818 data_time: 0.5215 memory: 63381 loss_text: 0.2502 loss_kernel: 0.1206 loss_embedding: 0.0209 loss: 0.3918 2022/08/26 16:25:02 - mmengine - INFO - Epoch(train) [138][15/16] lr: 7.9158e-04 eta: 3:34:21 time: 2.2976 data_time: 0.0988 memory: 63381 loss_text: 0.2400 loss_kernel: 0.1192 loss_embedding: 0.0199 loss: 0.3790 2022/08/26 16:25:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:25:19 - mmengine - INFO - Epoch(train) [139][5/16] lr: 7.9004e-04 eta: 3:34:21 time: 2.5889 data_time: 0.4968 memory: 63381 loss_text: 0.2267 loss_kernel: 0.1173 loss_embedding: 0.0191 loss: 0.3632 2022/08/26 16:25:31 - mmengine - INFO - Epoch(train) [139][10/16] lr: 7.9004e-04 eta: 3:33:52 time: 2.7427 data_time: 0.5500 memory: 63381 loss_text: 0.2219 loss_kernel: 0.1178 loss_embedding: 0.0201 loss: 0.3598 2022/08/26 16:25:42 - mmengine - INFO - Epoch(train) [139][15/16] lr: 7.9004e-04 eta: 3:33:52 time: 2.2975 data_time: 0.1060 memory: 63381 loss_text: 0.2474 loss_kernel: 0.1254 loss_embedding: 0.0188 loss: 0.3916 2022/08/26 16:25:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:25:59 - mmengine - INFO - Epoch(train) [140][5/16] lr: 7.8849e-04 eta: 3:33:52 time: 2.6184 data_time: 0.4883 memory: 63381 loss_text: 0.2488 loss_kernel: 0.1249 loss_embedding: 0.0206 loss: 0.3942 2022/08/26 16:26:11 - mmengine - INFO - Epoch(train) [140][10/16] lr: 7.8849e-04 eta: 3:33:22 time: 2.7153 data_time: 0.5210 memory: 63381 loss_text: 0.2528 loss_kernel: 0.1264 loss_embedding: 0.0218 loss: 0.4009 2022/08/26 16:26:22 - mmengine - INFO - Epoch(train) [140][15/16] lr: 7.8849e-04 eta: 3:33:22 time: 2.2671 data_time: 0.0964 memory: 63381 loss_text: 0.2556 loss_kernel: 0.1235 loss_embedding: 0.0208 loss: 0.3999 2022/08/26 16:26:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:26:24 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/26 16:26:27 - mmengine - INFO - Epoch(val) [140][5/500] eta: 3:33:22 time: 0.0433 data_time: 0.0099 memory: 39748 2022/08/26 16:26:27 - mmengine - INFO - Epoch(val) [140][10/500] eta: 0:00:22 time: 0.0452 data_time: 0.0098 memory: 661 2022/08/26 16:26:27 - mmengine - INFO - Epoch(val) [140][15/500] eta: 0:00:22 time: 0.0230 data_time: 0.0023 memory: 661 2022/08/26 16:26:27 - mmengine - INFO - Epoch(val) [140][20/500] eta: 0:00:10 time: 0.0218 data_time: 0.0024 memory: 661 2022/08/26 16:26:27 - mmengine - INFO - Epoch(val) [140][25/500] eta: 0:00:10 time: 0.0209 data_time: 0.0021 memory: 661 2022/08/26 16:26:27 - mmengine - INFO - Epoch(val) [140][30/500] eta: 0:00:10 time: 0.0229 data_time: 0.0020 memory: 661 2022/08/26 16:26:28 - mmengine - INFO - Epoch(val) [140][35/500] eta: 0:00:10 time: 0.0232 data_time: 0.0019 memory: 661 2022/08/26 16:26:28 - mmengine - INFO - Epoch(val) [140][40/500] eta: 0:00:11 time: 0.0249 data_time: 0.0020 memory: 661 2022/08/26 16:26:28 - mmengine - INFO - Epoch(val) [140][45/500] eta: 0:00:11 time: 0.0260 data_time: 0.0020 memory: 661 2022/08/26 16:26:28 - mmengine - INFO - Epoch(val) [140][50/500] eta: 0:00:10 time: 0.0235 data_time: 0.0021 memory: 661 2022/08/26 16:26:28 - mmengine - INFO - Epoch(val) [140][55/500] eta: 0:00:10 time: 0.0239 data_time: 0.0021 memory: 661 2022/08/26 16:26:28 - mmengine - INFO - Epoch(val) [140][60/500] eta: 0:00:09 time: 0.0226 data_time: 0.0021 memory: 661 2022/08/26 16:26:28 - mmengine - INFO - Epoch(val) [140][65/500] eta: 0:00:09 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 16:26:28 - mmengine - INFO - Epoch(val) [140][70/500] eta: 0:00:10 time: 0.0243 data_time: 0.0020 memory: 661 2022/08/26 16:26:29 - mmengine - INFO - Epoch(val) [140][75/500] eta: 0:00:10 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 16:26:29 - mmengine - INFO - Epoch(val) [140][80/500] eta: 0:00:08 time: 0.0198 data_time: 0.0020 memory: 661 2022/08/26 16:26:29 - mmengine - INFO - Epoch(val) [140][85/500] eta: 0:00:08 time: 0.0193 data_time: 0.0020 memory: 661 2022/08/26 16:26:29 - mmengine - INFO - Epoch(val) [140][90/500] eta: 0:00:09 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 16:26:29 - mmengine - INFO - Epoch(val) [140][95/500] eta: 0:00:09 time: 0.0238 data_time: 0.0020 memory: 661 2022/08/26 16:26:29 - mmengine - INFO - Epoch(val) [140][100/500] eta: 0:00:08 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 16:26:29 - mmengine - INFO - Epoch(val) [140][105/500] eta: 0:00:08 time: 0.0213 data_time: 0.0021 memory: 661 2022/08/26 16:26:29 - mmengine - INFO - Epoch(val) [140][110/500] eta: 0:00:08 time: 0.0214 data_time: 0.0022 memory: 661 2022/08/26 16:26:29 - mmengine - INFO - Epoch(val) [140][115/500] eta: 0:00:08 time: 0.0230 data_time: 0.0022 memory: 661 2022/08/26 16:26:30 - mmengine - INFO - Epoch(val) [140][120/500] eta: 0:00:09 time: 0.0242 data_time: 0.0022 memory: 661 2022/08/26 16:26:30 - mmengine - INFO - Epoch(val) [140][125/500] eta: 0:00:09 time: 0.0230 data_time: 0.0022 memory: 661 2022/08/26 16:26:30 - mmengine - INFO - Epoch(val) [140][130/500] eta: 0:00:08 time: 0.0238 data_time: 0.0022 memory: 661 2022/08/26 16:26:30 - mmengine - INFO - Epoch(val) [140][135/500] eta: 0:00:08 time: 0.0262 data_time: 0.0026 memory: 661 2022/08/26 16:26:30 - mmengine - INFO - Epoch(val) [140][140/500] eta: 0:00:08 time: 0.0245 data_time: 0.0025 memory: 661 2022/08/26 16:26:30 - mmengine - INFO - Epoch(val) [140][145/500] eta: 0:00:08 time: 0.0222 data_time: 0.0020 memory: 661 2022/08/26 16:26:30 - mmengine - INFO - Epoch(val) [140][150/500] eta: 0:00:08 time: 0.0231 data_time: 0.0021 memory: 661 2022/08/26 16:26:30 - mmengine - INFO - Epoch(val) [140][155/500] eta: 0:00:08 time: 0.0255 data_time: 0.0021 memory: 661 2022/08/26 16:26:30 - mmengine - INFO - Epoch(val) [140][160/500] eta: 0:00:08 time: 0.0253 data_time: 0.0021 memory: 661 2022/08/26 16:26:31 - mmengine - INFO - Epoch(val) [140][165/500] eta: 0:00:08 time: 0.0243 data_time: 0.0021 memory: 661 2022/08/26 16:26:31 - mmengine - INFO - Epoch(val) [140][170/500] eta: 0:00:08 time: 0.0249 data_time: 0.0021 memory: 661 2022/08/26 16:26:31 - mmengine - INFO - Epoch(val) [140][175/500] eta: 0:00:08 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 16:26:31 - mmengine - INFO - Epoch(val) [140][180/500] eta: 0:00:07 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 16:26:31 - mmengine - INFO - Epoch(val) [140][185/500] eta: 0:00:07 time: 0.0272 data_time: 0.0023 memory: 661 2022/08/26 16:26:31 - mmengine - INFO - Epoch(val) [140][190/500] eta: 0:00:08 time: 0.0270 data_time: 0.0022 memory: 661 2022/08/26 16:26:31 - mmengine - INFO - Epoch(val) [140][195/500] eta: 0:00:08 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 16:26:32 - mmengine - INFO - Epoch(val) [140][200/500] eta: 0:00:08 time: 0.0272 data_time: 0.0023 memory: 661 2022/08/26 16:26:32 - mmengine - INFO - Epoch(val) [140][205/500] eta: 0:00:08 time: 0.0273 data_time: 0.0024 memory: 661 2022/08/26 16:26:32 - mmengine - INFO - Epoch(val) [140][210/500] eta: 0:00:06 time: 0.0228 data_time: 0.0029 memory: 661 2022/08/26 16:26:32 - mmengine - INFO - Epoch(val) [140][215/500] eta: 0:00:06 time: 0.0234 data_time: 0.0027 memory: 661 2022/08/26 16:26:32 - mmengine - INFO - Epoch(val) [140][220/500] eta: 0:00:06 time: 0.0246 data_time: 0.0024 memory: 661 2022/08/26 16:26:32 - mmengine - INFO - Epoch(val) [140][225/500] eta: 0:00:06 time: 0.0249 data_time: 0.0024 memory: 661 2022/08/26 16:26:32 - mmengine - INFO - Epoch(val) [140][230/500] eta: 0:00:06 time: 0.0225 data_time: 0.0023 memory: 661 2022/08/26 16:26:32 - mmengine - INFO - Epoch(val) [140][235/500] eta: 0:00:06 time: 0.0233 data_time: 0.0023 memory: 661 2022/08/26 16:26:32 - mmengine - INFO - Epoch(val) [140][240/500] eta: 0:00:06 time: 0.0248 data_time: 0.0023 memory: 661 2022/08/26 16:26:33 - mmengine - INFO - Epoch(val) [140][245/500] eta: 0:00:06 time: 0.0231 data_time: 0.0024 memory: 661 2022/08/26 16:26:33 - mmengine - INFO - Epoch(val) [140][250/500] eta: 0:00:05 time: 0.0240 data_time: 0.0022 memory: 661 2022/08/26 16:26:33 - mmengine - INFO - Epoch(val) [140][255/500] eta: 0:00:05 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 16:26:33 - mmengine - INFO - Epoch(val) [140][260/500] eta: 0:00:05 time: 0.0221 data_time: 0.0022 memory: 661 2022/08/26 16:26:33 - mmengine - INFO - Epoch(val) [140][265/500] eta: 0:00:05 time: 0.0229 data_time: 0.0022 memory: 661 2022/08/26 16:26:33 - mmengine - INFO - Epoch(val) [140][270/500] eta: 0:00:05 time: 0.0236 data_time: 0.0021 memory: 661 2022/08/26 16:26:33 - mmengine - INFO - Epoch(val) [140][275/500] eta: 0:00:05 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 16:26:33 - mmengine - INFO - Epoch(val) [140][280/500] eta: 0:00:05 time: 0.0239 data_time: 0.0021 memory: 661 2022/08/26 16:26:34 - mmengine - INFO - Epoch(val) [140][285/500] eta: 0:00:05 time: 0.0238 data_time: 0.0020 memory: 661 2022/08/26 16:26:34 - mmengine - INFO - Epoch(val) [140][290/500] eta: 0:00:04 time: 0.0231 data_time: 0.0021 memory: 661 2022/08/26 16:26:34 - mmengine - INFO - Epoch(val) [140][295/500] eta: 0:00:04 time: 0.0240 data_time: 0.0022 memory: 661 2022/08/26 16:26:34 - mmengine - INFO - Epoch(val) [140][300/500] eta: 0:00:04 time: 0.0229 data_time: 0.0020 memory: 661 2022/08/26 16:26:34 - mmengine - INFO - Epoch(val) [140][305/500] eta: 0:00:04 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 16:26:34 - mmengine - INFO - Epoch(val) [140][310/500] eta: 0:00:04 time: 0.0227 data_time: 0.0022 memory: 661 2022/08/26 16:26:34 - mmengine - INFO - Epoch(val) [140][315/500] eta: 0:00:04 time: 0.0244 data_time: 0.0022 memory: 661 2022/08/26 16:26:34 - mmengine - INFO - Epoch(val) [140][320/500] eta: 0:00:04 time: 0.0242 data_time: 0.0022 memory: 661 2022/08/26 16:26:35 - mmengine - INFO - Epoch(val) [140][325/500] eta: 0:00:04 time: 0.0313 data_time: 0.0021 memory: 661 2022/08/26 16:26:35 - mmengine - INFO - Epoch(val) [140][330/500] eta: 0:00:05 time: 0.0311 data_time: 0.0021 memory: 661 2022/08/26 16:26:35 - mmengine - INFO - Epoch(val) [140][335/500] eta: 0:00:05 time: 0.0213 data_time: 0.0022 memory: 661 2022/08/26 16:26:35 - mmengine - INFO - Epoch(val) [140][340/500] eta: 0:00:04 time: 0.0278 data_time: 0.0023 memory: 661 2022/08/26 16:26:35 - mmengine - INFO - Epoch(val) [140][345/500] eta: 0:00:04 time: 0.0287 data_time: 0.0023 memory: 661 2022/08/26 16:26:35 - mmengine - INFO - Epoch(val) [140][350/500] eta: 0:00:06 time: 0.0412 data_time: 0.0039 memory: 661 2022/08/26 16:26:35 - mmengine - INFO - Epoch(val) [140][355/500] eta: 0:00:06 time: 0.0409 data_time: 0.0041 memory: 661 2022/08/26 16:26:36 - mmengine - INFO - Epoch(val) [140][360/500] eta: 0:00:03 time: 0.0224 data_time: 0.0023 memory: 661 2022/08/26 16:26:36 - mmengine - INFO - Epoch(val) [140][365/500] eta: 0:00:03 time: 0.0228 data_time: 0.0024 memory: 661 2022/08/26 16:26:36 - mmengine - INFO - Epoch(val) [140][370/500] eta: 0:00:02 time: 0.0216 data_time: 0.0024 memory: 661 2022/08/26 16:26:36 - mmengine - INFO - Epoch(val) [140][375/500] eta: 0:00:02 time: 0.0202 data_time: 0.0022 memory: 661 2022/08/26 16:26:36 - mmengine - INFO - Epoch(val) [140][380/500] eta: 0:00:02 time: 0.0226 data_time: 0.0020 memory: 661 2022/08/26 16:26:36 - mmengine - INFO - Epoch(val) [140][385/500] eta: 0:00:02 time: 0.0236 data_time: 0.0021 memory: 661 2022/08/26 16:26:36 - mmengine - INFO - Epoch(val) [140][390/500] eta: 0:00:02 time: 0.0224 data_time: 0.0022 memory: 661 2022/08/26 16:26:36 - mmengine - INFO - Epoch(val) [140][395/500] eta: 0:00:02 time: 0.0221 data_time: 0.0022 memory: 661 2022/08/26 16:26:36 - mmengine - INFO - Epoch(val) [140][400/500] eta: 0:00:02 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 16:26:37 - mmengine - INFO - Epoch(val) [140][405/500] eta: 0:00:02 time: 0.0223 data_time: 0.0022 memory: 661 2022/08/26 16:26:37 - mmengine - INFO - Epoch(val) [140][410/500] eta: 0:00:02 time: 0.0237 data_time: 0.0022 memory: 661 2022/08/26 16:26:37 - mmengine - INFO - Epoch(val) [140][415/500] eta: 0:00:02 time: 0.0233 data_time: 0.0022 memory: 661 2022/08/26 16:26:37 - mmengine - INFO - Epoch(val) [140][420/500] eta: 0:00:01 time: 0.0208 data_time: 0.0022 memory: 661 2022/08/26 16:26:37 - mmengine - INFO - Epoch(val) [140][425/500] eta: 0:00:01 time: 0.0213 data_time: 0.0022 memory: 661 2022/08/26 16:26:37 - mmengine - INFO - Epoch(val) [140][430/500] eta: 0:00:01 time: 0.0222 data_time: 0.0021 memory: 661 2022/08/26 16:26:37 - mmengine - INFO - Epoch(val) [140][435/500] eta: 0:00:01 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 16:26:37 - mmengine - INFO - Epoch(val) [140][440/500] eta: 0:00:01 time: 0.0213 data_time: 0.0020 memory: 661 2022/08/26 16:26:37 - mmengine - INFO - Epoch(val) [140][445/500] eta: 0:00:01 time: 0.0235 data_time: 0.0021 memory: 661 2022/08/26 16:26:38 - mmengine - INFO - Epoch(val) [140][450/500] eta: 0:00:01 time: 0.0242 data_time: 0.0021 memory: 661 2022/08/26 16:26:38 - mmengine - INFO - Epoch(val) [140][455/500] eta: 0:00:01 time: 0.0228 data_time: 0.0019 memory: 661 2022/08/26 16:26:38 - mmengine - INFO - Epoch(val) [140][460/500] eta: 0:00:00 time: 0.0208 data_time: 0.0020 memory: 661 2022/08/26 16:26:38 - mmengine - INFO - Epoch(val) [140][465/500] eta: 0:00:00 time: 0.0203 data_time: 0.0021 memory: 661 2022/08/26 16:26:38 - mmengine - INFO - Epoch(val) [140][470/500] eta: 0:00:00 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 16:26:38 - mmengine - INFO - Epoch(val) [140][475/500] eta: 0:00:00 time: 0.0206 data_time: 0.0021 memory: 661 2022/08/26 16:26:38 - mmengine - INFO - Epoch(val) [140][480/500] eta: 0:00:00 time: 0.0215 data_time: 0.0022 memory: 661 2022/08/26 16:26:38 - mmengine - INFO - Epoch(val) [140][485/500] eta: 0:00:00 time: 0.0222 data_time: 0.0022 memory: 661 2022/08/26 16:26:38 - mmengine - INFO - Epoch(val) [140][490/500] eta: 0:00:00 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 16:26:39 - mmengine - INFO - Epoch(val) [140][495/500] eta: 0:00:00 time: 0.0246 data_time: 0.0025 memory: 661 2022/08/26 16:26:39 - mmengine - INFO - Epoch(val) [140][500/500] eta: 0:00:00 time: 0.0226 data_time: 0.0024 memory: 661 2022/08/26 16:26:39 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7260, precision: 0.6883, hmean: 0.7067 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7260, precision: 0.6883, hmean: 0.7067 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7260, precision: 0.6883, hmean: 0.7067 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7260, precision: 0.6883, hmean: 0.7067 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7260, precision: 0.6883, hmean: 0.7067 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7260, precision: 0.6905, hmean: 0.7078 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7260, precision: 0.7037, hmean: 0.7147 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7251, precision: 0.7192, hmean: 0.7221 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7217, precision: 0.7410, hmean: 0.7312 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7179, precision: 0.7611, hmean: 0.7389 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7082, precision: 0.7854, hmean: 0.7448 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.6957, precision: 0.8118, hmean: 0.7493 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6481, precision: 0.8418, hmean: 0.7323 2022/08/26 16:26:39 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.2436, precision: 0.9084, hmean: 0.3842 2022/08/26 16:26:39 - mmengine - INFO - Epoch(val) [140][500/500] icdar/precision: 0.8118 icdar/recall: 0.6957 icdar/hmean: 0.7493 2022/08/26 16:26:54 - mmengine - INFO - Epoch(train) [141][5/16] lr: 7.8695e-04 eta: 0:00:00 time: 2.5503 data_time: 0.4574 memory: 63381 loss_text: 0.2413 loss_kernel: 0.1208 loss_embedding: 0.0202 loss: 0.3823 2022/08/26 16:27:06 - mmengine - INFO - Epoch(train) [141][10/16] lr: 7.8695e-04 eta: 3:32:52 time: 2.7117 data_time: 0.5135 memory: 63381 loss_text: 0.2444 loss_kernel: 0.1248 loss_embedding: 0.0204 loss: 0.3897 2022/08/26 16:27:17 - mmengine - INFO - Epoch(train) [141][15/16] lr: 7.8695e-04 eta: 3:32:52 time: 2.3300 data_time: 0.1129 memory: 63381 loss_text: 0.2507 loss_kernel: 0.1233 loss_embedding: 0.0190 loss: 0.3929 2022/08/26 16:27:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:27:34 - mmengine - INFO - Epoch(train) [142][5/16] lr: 7.8541e-04 eta: 3:32:52 time: 2.5662 data_time: 0.4639 memory: 63381 loss_text: 0.2442 loss_kernel: 0.1226 loss_embedding: 0.0203 loss: 0.3872 2022/08/26 16:27:46 - mmengine - INFO - Epoch(train) [142][10/16] lr: 7.8541e-04 eta: 3:32:22 time: 2.7205 data_time: 0.4971 memory: 63381 loss_text: 0.2301 loss_kernel: 0.1178 loss_embedding: 0.0204 loss: 0.3683 2022/08/26 16:27:57 - mmengine - INFO - Epoch(train) [142][15/16] lr: 7.8541e-04 eta: 3:32:22 time: 2.3516 data_time: 0.0884 memory: 63381 loss_text: 0.2420 loss_kernel: 0.1223 loss_embedding: 0.0177 loss: 0.3820 2022/08/26 16:27:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:28:15 - mmengine - INFO - Epoch(train) [143][5/16] lr: 7.8386e-04 eta: 3:32:22 time: 2.7042 data_time: 0.5448 memory: 63381 loss_text: 0.2407 loss_kernel: 0.1224 loss_embedding: 0.0187 loss: 0.3818 2022/08/26 16:28:27 - mmengine - INFO - Epoch(train) [143][10/16] lr: 7.8386e-04 eta: 3:31:53 time: 2.7579 data_time: 0.5400 memory: 63381 loss_text: 0.2365 loss_kernel: 0.1205 loss_embedding: 0.0197 loss: 0.3766 2022/08/26 16:28:38 - mmengine - INFO - Epoch(train) [143][15/16] lr: 7.8386e-04 eta: 3:31:53 time: 2.2978 data_time: 0.0869 memory: 63381 loss_text: 0.2354 loss_kernel: 0.1196 loss_embedding: 0.0178 loss: 0.3727 2022/08/26 16:28:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:28:56 - mmengine - INFO - Epoch(train) [144][5/16] lr: 7.8232e-04 eta: 3:31:53 time: 2.6274 data_time: 0.4873 memory: 63381 loss_text: 0.2352 loss_kernel: 0.1172 loss_embedding: 0.0191 loss: 0.3714 2022/08/26 16:29:07 - mmengine - INFO - Epoch(train) [144][10/16] lr: 7.8232e-04 eta: 3:31:25 time: 2.7736 data_time: 0.5382 memory: 63381 loss_text: 0.2419 loss_kernel: 0.1185 loss_embedding: 0.0205 loss: 0.3809 2022/08/26 16:29:19 - mmengine - INFO - Epoch(train) [144][15/16] lr: 7.8232e-04 eta: 3:31:25 time: 2.3554 data_time: 0.1252 memory: 63381 loss_text: 0.2473 loss_kernel: 0.1219 loss_embedding: 0.0199 loss: 0.3891 2022/08/26 16:29:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:29:38 - mmengine - INFO - Epoch(train) [145][5/16] lr: 7.8078e-04 eta: 3:31:25 time: 2.8565 data_time: 0.6461 memory: 63381 loss_text: 0.2558 loss_kernel: 0.1262 loss_embedding: 0.0198 loss: 0.4018 2022/08/26 16:29:49 - mmengine - INFO - Epoch(train) [145][10/16] lr: 7.8078e-04 eta: 3:31:01 time: 2.8777 data_time: 0.6731 memory: 63381 loss_text: 0.2562 loss_kernel: 0.1256 loss_embedding: 0.0188 loss: 0.4007 2022/08/26 16:30:00 - mmengine - INFO - Epoch(train) [145][15/16] lr: 7.8078e-04 eta: 3:31:01 time: 2.2065 data_time: 0.0993 memory: 63381 loss_text: 0.2692 loss_kernel: 0.1295 loss_embedding: 0.0208 loss: 0.4195 2022/08/26 16:30:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:30:19 - mmengine - INFO - Epoch(train) [146][5/16] lr: 7.7923e-04 eta: 3:31:01 time: 2.6906 data_time: 0.5660 memory: 63381 loss_text: 0.2658 loss_kernel: 0.1282 loss_embedding: 0.0204 loss: 0.4145 2022/08/26 16:30:30 - mmengine - INFO - Epoch(train) [146][10/16] lr: 7.7923e-04 eta: 3:30:34 time: 2.8183 data_time: 0.6111 memory: 63381 loss_text: 0.2618 loss_kernel: 0.1291 loss_embedding: 0.0203 loss: 0.4111 2022/08/26 16:30:42 - mmengine - INFO - Epoch(train) [146][15/16] lr: 7.7923e-04 eta: 3:30:34 time: 2.2845 data_time: 0.1027 memory: 63381 loss_text: 0.2576 loss_kernel: 0.1274 loss_embedding: 0.0199 loss: 0.4049 2022/08/26 16:30:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:31:00 - mmengine - INFO - Epoch(train) [147][5/16] lr: 7.7769e-04 eta: 3:30:34 time: 2.7669 data_time: 0.5609 memory: 63381 loss_text: 0.2456 loss_kernel: 0.1229 loss_embedding: 0.0185 loss: 0.3870 2022/08/26 16:31:11 - mmengine - INFO - Epoch(train) [147][10/16] lr: 7.7769e-04 eta: 3:30:07 time: 2.8182 data_time: 0.5899 memory: 63381 loss_text: 0.2406 loss_kernel: 0.1204 loss_embedding: 0.0181 loss: 0.3791 2022/08/26 16:31:22 - mmengine - INFO - Epoch(train) [147][15/16] lr: 7.7769e-04 eta: 3:30:07 time: 2.2238 data_time: 0.0843 memory: 63381 loss_text: 0.2537 loss_kernel: 0.1260 loss_embedding: 0.0188 loss: 0.3985 2022/08/26 16:31:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:31:40 - mmengine - INFO - Epoch(train) [148][5/16] lr: 7.7614e-04 eta: 3:30:07 time: 2.6319 data_time: 0.5442 memory: 63381 loss_text: 0.2725 loss_kernel: 0.1377 loss_embedding: 0.0176 loss: 0.4277 2022/08/26 16:31:52 - mmengine - INFO - Epoch(train) [148][10/16] lr: 7.7614e-04 eta: 3:29:40 time: 2.7853 data_time: 0.5847 memory: 63381 loss_text: 0.2661 loss_kernel: 0.1366 loss_embedding: 0.0171 loss: 0.4199 2022/08/26 16:32:03 - mmengine - INFO - Epoch(train) [148][15/16] lr: 7.7614e-04 eta: 3:29:40 time: 2.2666 data_time: 0.0918 memory: 63381 loss_text: 0.2476 loss_kernel: 0.1252 loss_embedding: 0.0173 loss: 0.3900 2022/08/26 16:32:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:32:20 - mmengine - INFO - Epoch(train) [149][5/16] lr: 7.7460e-04 eta: 3:29:40 time: 2.6193 data_time: 0.5050 memory: 63381 loss_text: 0.2348 loss_kernel: 0.1154 loss_embedding: 0.0178 loss: 0.3680 2022/08/26 16:32:32 - mmengine - INFO - Epoch(train) [149][10/16] lr: 7.7460e-04 eta: 3:29:11 time: 2.7591 data_time: 0.5483 memory: 63381 loss_text: 0.2415 loss_kernel: 0.1216 loss_embedding: 0.0184 loss: 0.3814 2022/08/26 16:32:43 - mmengine - INFO - Epoch(train) [149][15/16] lr: 7.7460e-04 eta: 3:29:11 time: 2.2564 data_time: 0.0949 memory: 63381 loss_text: 0.2382 loss_kernel: 0.1213 loss_embedding: 0.0189 loss: 0.3783 2022/08/26 16:32:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:33:00 - mmengine - INFO - Epoch(train) [150][5/16] lr: 7.7305e-04 eta: 3:29:11 time: 2.6232 data_time: 0.4871 memory: 63381 loss_text: 0.2240 loss_kernel: 0.1142 loss_embedding: 0.0201 loss: 0.3583 2022/08/26 16:33:12 - mmengine - INFO - Epoch(train) [150][10/16] lr: 7.7305e-04 eta: 3:28:42 time: 2.7282 data_time: 0.5267 memory: 63381 loss_text: 0.2458 loss_kernel: 0.1272 loss_embedding: 0.0187 loss: 0.3918 2022/08/26 16:33:23 - mmengine - INFO - Epoch(train) [150][15/16] lr: 7.7305e-04 eta: 3:28:42 time: 2.2421 data_time: 0.0938 memory: 63381 loss_text: 0.2506 loss_kernel: 0.1290 loss_embedding: 0.0180 loss: 0.3975 2022/08/26 16:33:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:33:40 - mmengine - INFO - Epoch(train) [151][5/16] lr: 7.7150e-04 eta: 3:28:42 time: 2.5609 data_time: 0.4479 memory: 63381 loss_text: 0.2239 loss_kernel: 0.1143 loss_embedding: 0.0195 loss: 0.3577 2022/08/26 16:33:52 - mmengine - INFO - Epoch(train) [151][10/16] lr: 7.7150e-04 eta: 3:28:14 time: 2.7814 data_time: 0.5570 memory: 63381 loss_text: 0.2318 loss_kernel: 0.1173 loss_embedding: 0.0202 loss: 0.3693 2022/08/26 16:34:03 - mmengine - INFO - Epoch(train) [151][15/16] lr: 7.7150e-04 eta: 3:28:14 time: 2.3244 data_time: 0.1641 memory: 63381 loss_text: 0.2483 loss_kernel: 0.1262 loss_embedding: 0.0207 loss: 0.3952 2022/08/26 16:34:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:34:20 - mmengine - INFO - Epoch(train) [152][5/16] lr: 7.6996e-04 eta: 3:28:14 time: 2.5440 data_time: 0.4712 memory: 63381 loss_text: 0.2565 loss_kernel: 0.1299 loss_embedding: 0.0195 loss: 0.4059 2022/08/26 16:34:31 - mmengine - INFO - Epoch(train) [152][10/16] lr: 7.6996e-04 eta: 3:27:43 time: 2.6750 data_time: 0.5016 memory: 63381 loss_text: 0.2394 loss_kernel: 0.1202 loss_embedding: 0.0182 loss: 0.3779 2022/08/26 16:34:43 - mmengine - INFO - Epoch(train) [152][15/16] lr: 7.6996e-04 eta: 3:27:43 time: 2.2722 data_time: 0.0959 memory: 63381 loss_text: 0.2383 loss_kernel: 0.1200 loss_embedding: 0.0171 loss: 0.3753 2022/08/26 16:34:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:35:00 - mmengine - INFO - Epoch(train) [153][5/16] lr: 7.6841e-04 eta: 3:27:43 time: 2.6036 data_time: 0.4760 memory: 63381 loss_text: 0.2522 loss_kernel: 0.1251 loss_embedding: 0.0178 loss: 0.3951 2022/08/26 16:35:11 - mmengine - INFO - Epoch(train) [153][10/16] lr: 7.6841e-04 eta: 3:27:14 time: 2.7210 data_time: 0.5365 memory: 63381 loss_text: 0.2524 loss_kernel: 0.1250 loss_embedding: 0.0194 loss: 0.3968 2022/08/26 16:35:23 - mmengine - INFO - Epoch(train) [153][15/16] lr: 7.6841e-04 eta: 3:27:14 time: 2.3294 data_time: 0.1219 memory: 63381 loss_text: 0.2403 loss_kernel: 0.1240 loss_embedding: 0.0190 loss: 0.3833 2022/08/26 16:35:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:35:41 - mmengine - INFO - Epoch(train) [154][5/16] lr: 7.6686e-04 eta: 3:27:14 time: 2.6763 data_time: 0.5163 memory: 63381 loss_text: 0.2438 loss_kernel: 0.1239 loss_embedding: 0.0183 loss: 0.3859 2022/08/26 16:35:52 - mmengine - INFO - Epoch(train) [154][10/16] lr: 7.6686e-04 eta: 3:26:46 time: 2.7801 data_time: 0.5532 memory: 63381 loss_text: 0.2396 loss_kernel: 0.1199 loss_embedding: 0.0204 loss: 0.3799 2022/08/26 16:36:04 - mmengine - INFO - Epoch(train) [154][15/16] lr: 7.6686e-04 eta: 3:26:46 time: 2.2839 data_time: 0.1031 memory: 63381 loss_text: 0.2519 loss_kernel: 0.1261 loss_embedding: 0.0209 loss: 0.3989 2022/08/26 16:36:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:36:21 - mmengine - INFO - Epoch(train) [155][5/16] lr: 7.6531e-04 eta: 3:26:46 time: 2.6291 data_time: 0.5011 memory: 63381 loss_text: 0.2389 loss_kernel: 0.1233 loss_embedding: 0.0199 loss: 0.3821 2022/08/26 16:36:32 - mmengine - INFO - Epoch(train) [155][10/16] lr: 7.6531e-04 eta: 3:26:16 time: 2.7140 data_time: 0.5241 memory: 63381 loss_text: 0.2427 loss_kernel: 0.1227 loss_embedding: 0.0187 loss: 0.3842 2022/08/26 16:36:43 - mmengine - INFO - Epoch(train) [155][15/16] lr: 7.6531e-04 eta: 3:26:16 time: 2.2668 data_time: 0.0859 memory: 63381 loss_text: 0.2430 loss_kernel: 0.1171 loss_embedding: 0.0195 loss: 0.3795 2022/08/26 16:36:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:37:01 - mmengine - INFO - Epoch(train) [156][5/16] lr: 7.6377e-04 eta: 3:26:16 time: 2.6684 data_time: 0.5245 memory: 63381 loss_text: 0.2352 loss_kernel: 0.1172 loss_embedding: 0.0190 loss: 0.3714 2022/08/26 16:37:14 - mmengine - INFO - Epoch(train) [156][10/16] lr: 7.6377e-04 eta: 3:25:51 time: 2.8772 data_time: 0.6112 memory: 63381 loss_text: 0.2404 loss_kernel: 0.1228 loss_embedding: 0.0161 loss: 0.3793 2022/08/26 16:37:25 - mmengine - INFO - Epoch(train) [156][15/16] lr: 7.6377e-04 eta: 3:25:51 time: 2.3131 data_time: 0.1317 memory: 63381 loss_text: 0.2411 loss_kernel: 0.1236 loss_embedding: 0.0163 loss: 0.3810 2022/08/26 16:37:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:37:42 - mmengine - INFO - Epoch(train) [157][5/16] lr: 7.6222e-04 eta: 3:25:51 time: 2.5866 data_time: 0.5047 memory: 63381 loss_text: 0.2374 loss_kernel: 0.1207 loss_embedding: 0.0188 loss: 0.3769 2022/08/26 16:37:54 - mmengine - INFO - Epoch(train) [157][10/16] lr: 7.6222e-04 eta: 3:25:22 time: 2.7350 data_time: 0.5330 memory: 63381 loss_text: 0.2254 loss_kernel: 0.1172 loss_embedding: 0.0192 loss: 0.3618 2022/08/26 16:38:04 - mmengine - INFO - Epoch(train) [157][15/16] lr: 7.6222e-04 eta: 3:25:22 time: 2.2653 data_time: 0.0869 memory: 63381 loss_text: 0.2208 loss_kernel: 0.1151 loss_embedding: 0.0205 loss: 0.3564 2022/08/26 16:38:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:38:22 - mmengine - INFO - Epoch(train) [158][5/16] lr: 7.6067e-04 eta: 3:25:22 time: 2.5669 data_time: 0.5075 memory: 63381 loss_text: 0.2382 loss_kernel: 0.1225 loss_embedding: 0.0172 loss: 0.3779 2022/08/26 16:38:33 - mmengine - INFO - Epoch(train) [158][10/16] lr: 7.6067e-04 eta: 3:24:52 time: 2.6868 data_time: 0.5385 memory: 63381 loss_text: 0.2551 loss_kernel: 0.1294 loss_embedding: 0.0161 loss: 0.4006 2022/08/26 16:38:44 - mmengine - INFO - Epoch(train) [158][15/16] lr: 7.6067e-04 eta: 3:24:52 time: 2.2368 data_time: 0.0972 memory: 63381 loss_text: 0.2372 loss_kernel: 0.1236 loss_embedding: 0.0164 loss: 0.3771 2022/08/26 16:38:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:39:01 - mmengine - INFO - Epoch(train) [159][5/16] lr: 7.5912e-04 eta: 3:24:52 time: 2.5617 data_time: 0.4772 memory: 63381 loss_text: 0.2394 loss_kernel: 0.1259 loss_embedding: 0.0174 loss: 0.3827 2022/08/26 16:39:14 - mmengine - INFO - Epoch(train) [159][10/16] lr: 7.5912e-04 eta: 3:24:24 time: 2.7904 data_time: 0.5351 memory: 63381 loss_text: 0.2524 loss_kernel: 0.1271 loss_embedding: 0.0165 loss: 0.3959 2022/08/26 16:39:25 - mmengine - INFO - Epoch(train) [159][15/16] lr: 7.5912e-04 eta: 3:24:24 time: 2.3897 data_time: 0.1410 memory: 63381 loss_text: 0.2526 loss_kernel: 0.1262 loss_embedding: 0.0149 loss: 0.3936 2022/08/26 16:39:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:39:42 - mmengine - INFO - Epoch(train) [160][5/16] lr: 7.5757e-04 eta: 3:24:24 time: 2.5910 data_time: 0.5282 memory: 63381 loss_text: 0.2329 loss_kernel: 0.1192 loss_embedding: 0.0169 loss: 0.3690 2022/08/26 16:39:55 - mmengine - INFO - Epoch(train) [160][10/16] lr: 7.5757e-04 eta: 3:23:58 time: 2.8275 data_time: 0.5660 memory: 63381 loss_text: 0.2187 loss_kernel: 0.1089 loss_embedding: 0.0176 loss: 0.3452 2022/08/26 16:40:06 - mmengine - INFO - Epoch(train) [160][15/16] lr: 7.5757e-04 eta: 3:23:58 time: 2.3338 data_time: 0.1039 memory: 63381 loss_text: 0.2310 loss_kernel: 0.1159 loss_embedding: 0.0186 loss: 0.3655 2022/08/26 16:40:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:40:07 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/26 16:40:11 - mmengine - INFO - Epoch(val) [160][5/500] eta: 3:23:58 time: 0.0555 data_time: 0.0150 memory: 39748 2022/08/26 16:40:11 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:00:28 time: 0.0577 data_time: 0.0155 memory: 661 2022/08/26 16:40:11 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:00:28 time: 0.0240 data_time: 0.0030 memory: 661 2022/08/26 16:40:11 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:00:10 time: 0.0223 data_time: 0.0024 memory: 661 2022/08/26 16:40:11 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:00:10 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 16:40:11 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:00:11 time: 0.0241 data_time: 0.0020 memory: 661 2022/08/26 16:40:12 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:00:11 time: 0.0246 data_time: 0.0020 memory: 661 2022/08/26 16:40:12 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:00:11 time: 0.0250 data_time: 0.0020 memory: 661 2022/08/26 16:40:12 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:00:11 time: 0.0256 data_time: 0.0020 memory: 661 2022/08/26 16:40:12 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:00:10 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 16:40:12 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:00:10 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 16:40:12 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:00:09 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 16:40:12 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:00:09 time: 0.0240 data_time: 0.0021 memory: 661 2022/08/26 16:40:12 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:00:10 time: 0.0253 data_time: 0.0020 memory: 661 2022/08/26 16:40:12 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:00:10 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 16:40:13 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:00:08 time: 0.0205 data_time: 0.0021 memory: 661 2022/08/26 16:40:13 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:00:08 time: 0.0201 data_time: 0.0021 memory: 661 2022/08/26 16:40:13 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:00:09 time: 0.0231 data_time: 0.0021 memory: 661 2022/08/26 16:40:13 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:00:09 time: 0.0248 data_time: 0.0020 memory: 661 2022/08/26 16:40:13 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:00:09 time: 0.0225 data_time: 0.0020 memory: 661 2022/08/26 16:40:13 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:00:09 time: 0.0218 data_time: 0.0019 memory: 661 2022/08/26 16:40:13 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:00:08 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 16:40:13 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:00:08 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 16:40:13 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:00:08 time: 0.0228 data_time: 0.0020 memory: 661 2022/08/26 16:40:14 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:00:08 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 16:40:14 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:00:08 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 16:40:14 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:00:08 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 16:40:14 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:00:07 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 16:40:14 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:00:07 time: 0.0223 data_time: 0.0019 memory: 661 2022/08/26 16:40:14 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:00:08 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 16:40:14 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:00:08 time: 0.0265 data_time: 0.0019 memory: 661 2022/08/26 16:40:14 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:00:08 time: 0.0259 data_time: 0.0019 memory: 661 2022/08/26 16:40:15 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:00:08 time: 0.0234 data_time: 0.0019 memory: 661 2022/08/26 16:40:15 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:00:07 time: 0.0242 data_time: 0.0018 memory: 661 2022/08/26 16:40:15 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:00:07 time: 0.0230 data_time: 0.0019 memory: 661 2022/08/26 16:40:15 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:07 time: 0.0228 data_time: 0.0019 memory: 661 2022/08/26 16:40:15 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:07 time: 0.0240 data_time: 0.0018 memory: 661 2022/08/26 16:40:15 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:00:07 time: 0.0241 data_time: 0.0018 memory: 661 2022/08/26 16:40:15 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:00:07 time: 0.0222 data_time: 0.0019 memory: 661 2022/08/26 16:40:15 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:00:07 time: 0.0258 data_time: 0.0020 memory: 661 2022/08/26 16:40:15 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:00:07 time: 0.0260 data_time: 0.0020 memory: 661 2022/08/26 16:40:16 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:00:06 time: 0.0211 data_time: 0.0020 memory: 661 2022/08/26 16:40:16 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:00:06 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 16:40:16 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:06 time: 0.0225 data_time: 0.0019 memory: 661 2022/08/26 16:40:16 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:06 time: 0.0232 data_time: 0.0018 memory: 661 2022/08/26 16:40:16 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:05 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 16:40:16 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:05 time: 0.0223 data_time: 0.0019 memory: 661 2022/08/26 16:40:16 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:06 time: 0.0251 data_time: 0.0021 memory: 661 2022/08/26 16:40:16 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:06 time: 0.0233 data_time: 0.0022 memory: 661 2022/08/26 16:40:17 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:05 time: 0.0239 data_time: 0.0024 memory: 661 2022/08/26 16:40:17 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:05 time: 0.0232 data_time: 0.0023 memory: 661 2022/08/26 16:40:17 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:04 time: 0.0207 data_time: 0.0019 memory: 661 2022/08/26 16:40:17 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:04 time: 0.0212 data_time: 0.0021 memory: 661 2022/08/26 16:40:17 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:05 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 16:40:17 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:05 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 16:40:17 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:00:05 time: 0.0240 data_time: 0.0023 memory: 661 2022/08/26 16:40:17 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:00:05 time: 0.0254 data_time: 0.0025 memory: 661 2022/08/26 16:40:17 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:05 time: 0.0252 data_time: 0.0025 memory: 661 2022/08/26 16:40:18 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:05 time: 0.0250 data_time: 0.0023 memory: 661 2022/08/26 16:40:18 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:00:05 time: 0.0262 data_time: 0.0029 memory: 661 2022/08/26 16:40:18 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:00:05 time: 0.0263 data_time: 0.0031 memory: 661 2022/08/26 16:40:18 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:04 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 16:40:18 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:04 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 16:40:18 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:04 time: 0.0235 data_time: 0.0021 memory: 661 2022/08/26 16:40:18 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:04 time: 0.0313 data_time: 0.0021 memory: 661 2022/08/26 16:40:18 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:00:05 time: 0.0337 data_time: 0.0022 memory: 661 2022/08/26 16:40:19 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:00:05 time: 0.0234 data_time: 0.0022 memory: 661 2022/08/26 16:40:19 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:00:04 time: 0.0259 data_time: 0.0021 memory: 661 2022/08/26 16:40:19 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:00:04 time: 0.0268 data_time: 0.0021 memory: 661 2022/08/26 16:40:19 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:03 time: 0.0257 data_time: 0.0021 memory: 661 2022/08/26 16:40:19 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:03 time: 0.0246 data_time: 0.0019 memory: 661 2022/08/26 16:40:19 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:02 time: 0.0209 data_time: 0.0019 memory: 661 2022/08/26 16:40:19 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:02 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 16:40:19 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:02 time: 0.0200 data_time: 0.0019 memory: 661 2022/08/26 16:40:20 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:02 time: 0.0199 data_time: 0.0023 memory: 661 2022/08/26 16:40:20 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:02 time: 0.0224 data_time: 0.0024 memory: 661 2022/08/26 16:40:20 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:02 time: 0.0227 data_time: 0.0020 memory: 661 2022/08/26 16:40:20 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:02 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 16:40:20 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:02 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 16:40:20 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:02 time: 0.0211 data_time: 0.0020 memory: 661 2022/08/26 16:40:20 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:02 time: 0.0211 data_time: 0.0020 memory: 661 2022/08/26 16:40:20 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:02 time: 0.0226 data_time: 0.0020 memory: 661 2022/08/26 16:40:20 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:02 time: 0.0225 data_time: 0.0020 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:01 time: 0.0201 data_time: 0.0019 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:01 time: 0.0202 data_time: 0.0020 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:01 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:01 time: 0.0212 data_time: 0.0019 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:01 time: 0.0213 data_time: 0.0019 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:01 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:01 time: 0.0252 data_time: 0.0022 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:01 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:00 time: 0.0208 data_time: 0.0021 memory: 661 2022/08/26 16:40:21 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:00 time: 0.0198 data_time: 0.0020 memory: 661 2022/08/26 16:40:22 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:00 time: 0.0205 data_time: 0.0020 memory: 661 2022/08/26 16:40:22 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:00 time: 0.0203 data_time: 0.0022 memory: 661 2022/08/26 16:40:22 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:00 time: 0.0214 data_time: 0.0023 memory: 661 2022/08/26 16:40:22 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:00 time: 0.0226 data_time: 0.0022 memory: 661 2022/08/26 16:40:22 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:00 time: 0.0240 data_time: 0.0020 memory: 661 2022/08/26 16:40:22 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:00 time: 0.0242 data_time: 0.0020 memory: 661 2022/08/26 16:40:22 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 16:40:22 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7159, precision: 0.7122, hmean: 0.7140 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7159, precision: 0.7122, hmean: 0.7140 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7159, precision: 0.7122, hmean: 0.7140 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7159, precision: 0.7122, hmean: 0.7140 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7159, precision: 0.7122, hmean: 0.7140 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7159, precision: 0.7122, hmean: 0.7140 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7155, precision: 0.7165, hmean: 0.7160 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7150, precision: 0.7294, hmean: 0.7221 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7140, precision: 0.7456, hmean: 0.7295 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7111, precision: 0.7594, hmean: 0.7345 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7063, precision: 0.7862, hmean: 0.7441 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.6919, precision: 0.8137, hmean: 0.7479 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6394, precision: 0.8507, hmean: 0.7301 2022/08/26 16:40:22 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.2248, precision: 0.9121, hmean: 0.3608 2022/08/26 16:40:22 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.8137 icdar/recall: 0.6919 icdar/hmean: 0.7479 2022/08/26 16:40:39 - mmengine - INFO - Epoch(train) [161][5/16] lr: 7.5602e-04 eta: 0:00:00 time: 2.7065 data_time: 0.5134 memory: 63381 loss_text: 0.2331 loss_kernel: 0.1171 loss_embedding: 0.0199 loss: 0.3701 2022/08/26 16:40:51 - mmengine - INFO - Epoch(train) [161][10/16] lr: 7.5602e-04 eta: 3:23:31 time: 2.8066 data_time: 0.5343 memory: 63381 loss_text: 0.2209 loss_kernel: 0.1107 loss_embedding: 0.0182 loss: 0.3497 2022/08/26 16:41:01 - mmengine - INFO - Epoch(train) [161][15/16] lr: 7.5602e-04 eta: 3:23:31 time: 2.2484 data_time: 0.0898 memory: 63381 loss_text: 0.2397 loss_kernel: 0.1192 loss_embedding: 0.0188 loss: 0.3776 2022/08/26 16:41:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:41:19 - mmengine - INFO - Epoch(train) [162][5/16] lr: 7.5447e-04 eta: 3:23:31 time: 2.5804 data_time: 0.4773 memory: 63381 loss_text: 0.2497 loss_kernel: 0.1235 loss_embedding: 0.0172 loss: 0.3905 2022/08/26 16:41:30 - mmengine - INFO - Epoch(train) [162][10/16] lr: 7.5447e-04 eta: 3:23:02 time: 2.7406 data_time: 0.5197 memory: 63381 loss_text: 0.2317 loss_kernel: 0.1178 loss_embedding: 0.0161 loss: 0.3656 2022/08/26 16:41:41 - mmengine - INFO - Epoch(train) [162][15/16] lr: 7.5447e-04 eta: 3:23:02 time: 2.2845 data_time: 0.0838 memory: 63381 loss_text: 0.2259 loss_kernel: 0.1183 loss_embedding: 0.0178 loss: 0.3620 2022/08/26 16:41:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:41:59 - mmengine - INFO - Epoch(train) [163][5/16] lr: 7.5292e-04 eta: 3:23:02 time: 2.6350 data_time: 0.4727 memory: 63381 loss_text: 0.2335 loss_kernel: 0.1239 loss_embedding: 0.0168 loss: 0.3742 2022/08/26 16:42:10 - mmengine - INFO - Epoch(train) [163][10/16] lr: 7.5292e-04 eta: 3:22:33 time: 2.7476 data_time: 0.5241 memory: 63381 loss_text: 0.2359 loss_kernel: 0.1230 loss_embedding: 0.0161 loss: 0.3750 2022/08/26 16:42:22 - mmengine - INFO - Epoch(train) [163][15/16] lr: 7.5292e-04 eta: 3:22:33 time: 2.2794 data_time: 0.0881 memory: 63381 loss_text: 0.2278 loss_kernel: 0.1188 loss_embedding: 0.0162 loss: 0.3627 2022/08/26 16:42:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:42:39 - mmengine - INFO - Epoch(train) [164][5/16] lr: 7.5137e-04 eta: 3:22:33 time: 2.6373 data_time: 0.4607 memory: 63381 loss_text: 0.2299 loss_kernel: 0.1157 loss_embedding: 0.0168 loss: 0.3625 2022/08/26 16:42:51 - mmengine - INFO - Epoch(train) [164][10/16] lr: 7.5137e-04 eta: 3:22:05 time: 2.7507 data_time: 0.5006 memory: 63381 loss_text: 0.2086 loss_kernel: 0.1058 loss_embedding: 0.0199 loss: 0.3344 2022/08/26 16:43:02 - mmengine - INFO - Epoch(train) [164][15/16] lr: 7.5137e-04 eta: 3:22:05 time: 2.3385 data_time: 0.1026 memory: 63381 loss_text: 0.2185 loss_kernel: 0.1130 loss_embedding: 0.0204 loss: 0.3519 2022/08/26 16:43:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:43:19 - mmengine - INFO - Epoch(train) [165][5/16] lr: 7.4982e-04 eta: 3:22:05 time: 2.5823 data_time: 0.4522 memory: 63381 loss_text: 0.2344 loss_kernel: 0.1217 loss_embedding: 0.0172 loss: 0.3732 2022/08/26 16:43:31 - mmengine - INFO - Epoch(train) [165][10/16] lr: 7.4982e-04 eta: 3:21:35 time: 2.7066 data_time: 0.5033 memory: 63381 loss_text: 0.2128 loss_kernel: 0.1110 loss_embedding: 0.0164 loss: 0.3402 2022/08/26 16:43:43 - mmengine - INFO - Epoch(train) [165][15/16] lr: 7.4982e-04 eta: 3:21:35 time: 2.3603 data_time: 0.1278 memory: 63381 loss_text: 0.2288 loss_kernel: 0.1177 loss_embedding: 0.0185 loss: 0.3650 2022/08/26 16:43:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:44:00 - mmengine - INFO - Epoch(train) [166][5/16] lr: 7.4827e-04 eta: 3:21:35 time: 2.6669 data_time: 0.4844 memory: 63381 loss_text: 0.2380 loss_kernel: 0.1255 loss_embedding: 0.0202 loss: 0.3837 2022/08/26 16:44:12 - mmengine - INFO - Epoch(train) [166][10/16] lr: 7.4827e-04 eta: 3:21:08 time: 2.7926 data_time: 0.5629 memory: 63381 loss_text: 0.2483 loss_kernel: 0.1283 loss_embedding: 0.0176 loss: 0.3942 2022/08/26 16:44:23 - mmengine - INFO - Epoch(train) [166][15/16] lr: 7.4827e-04 eta: 3:21:08 time: 2.3502 data_time: 0.1364 memory: 63381 loss_text: 0.2463 loss_kernel: 0.1264 loss_embedding: 0.0165 loss: 0.3892 2022/08/26 16:44:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:44:41 - mmengine - INFO - Epoch(train) [167][5/16] lr: 7.4672e-04 eta: 3:21:08 time: 2.6553 data_time: 0.5096 memory: 63381 loss_text: 0.2529 loss_kernel: 0.1319 loss_embedding: 0.0170 loss: 0.4018 2022/08/26 16:44:53 - mmengine - INFO - Epoch(train) [167][10/16] lr: 7.4672e-04 eta: 3:20:40 time: 2.7807 data_time: 0.5431 memory: 63381 loss_text: 0.2386 loss_kernel: 0.1237 loss_embedding: 0.0181 loss: 0.3804 2022/08/26 16:45:05 - mmengine - INFO - Epoch(train) [167][15/16] lr: 7.4672e-04 eta: 3:20:40 time: 2.3428 data_time: 0.0916 memory: 63381 loss_text: 0.2085 loss_kernel: 0.1085 loss_embedding: 0.0176 loss: 0.3346 2022/08/26 16:45:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:45:22 - mmengine - INFO - Epoch(train) [168][5/16] lr: 7.4516e-04 eta: 3:20:40 time: 2.7049 data_time: 0.4853 memory: 63381 loss_text: 0.2146 loss_kernel: 0.1115 loss_embedding: 0.0181 loss: 0.3441 2022/08/26 16:45:33 - mmengine - INFO - Epoch(train) [168][10/16] lr: 7.4516e-04 eta: 3:20:11 time: 2.7425 data_time: 0.5169 memory: 63381 loss_text: 0.2316 loss_kernel: 0.1231 loss_embedding: 0.0191 loss: 0.3738 2022/08/26 16:45:44 - mmengine - INFO - Epoch(train) [168][15/16] lr: 7.4516e-04 eta: 3:20:11 time: 2.2118 data_time: 0.0780 memory: 63381 loss_text: 0.2535 loss_kernel: 0.1326 loss_embedding: 0.0188 loss: 0.4049 2022/08/26 16:45:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:46:02 - mmengine - INFO - Epoch(train) [169][5/16] lr: 7.4361e-04 eta: 3:20:11 time: 2.6565 data_time: 0.5151 memory: 63381 loss_text: 0.2638 loss_kernel: 0.1321 loss_embedding: 0.0173 loss: 0.4132 2022/08/26 16:46:14 - mmengine - INFO - Epoch(train) [169][10/16] lr: 7.4361e-04 eta: 3:19:43 time: 2.7699 data_time: 0.5489 memory: 63381 loss_text: 0.2437 loss_kernel: 0.1214 loss_embedding: 0.0199 loss: 0.3850 2022/08/26 16:46:25 - mmengine - INFO - Epoch(train) [169][15/16] lr: 7.4361e-04 eta: 3:19:43 time: 2.2864 data_time: 0.0968 memory: 63381 loss_text: 0.2303 loss_kernel: 0.1179 loss_embedding: 0.0187 loss: 0.3670 2022/08/26 16:46:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:46:43 - mmengine - INFO - Epoch(train) [170][5/16] lr: 7.4206e-04 eta: 3:19:43 time: 2.6580 data_time: 0.4988 memory: 63381 loss_text: 0.2328 loss_kernel: 0.1210 loss_embedding: 0.0163 loss: 0.3700 2022/08/26 16:46:54 - mmengine - INFO - Epoch(train) [170][10/16] lr: 7.4206e-04 eta: 3:19:15 time: 2.7521 data_time: 0.5382 memory: 63381 loss_text: 0.2379 loss_kernel: 0.1218 loss_embedding: 0.0170 loss: 0.3767 2022/08/26 16:47:06 - mmengine - INFO - Epoch(train) [170][15/16] lr: 7.4206e-04 eta: 3:19:15 time: 2.3066 data_time: 0.0976 memory: 63381 loss_text: 0.2416 loss_kernel: 0.1207 loss_embedding: 0.0171 loss: 0.3794 2022/08/26 16:47:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:47:24 - mmengine - INFO - Epoch(train) [171][5/16] lr: 7.4050e-04 eta: 3:19:15 time: 2.6619 data_time: 0.5163 memory: 63381 loss_text: 0.2466 loss_kernel: 0.1209 loss_embedding: 0.0160 loss: 0.3835 2022/08/26 16:47:36 - mmengine - INFO - Epoch(train) [171][10/16] lr: 7.4050e-04 eta: 3:18:47 time: 2.7866 data_time: 0.5433 memory: 63381 loss_text: 0.2420 loss_kernel: 0.1217 loss_embedding: 0.0160 loss: 0.3796 2022/08/26 16:47:47 - mmengine - INFO - Epoch(train) [171][15/16] lr: 7.4050e-04 eta: 3:18:47 time: 2.3197 data_time: 0.1001 memory: 63381 loss_text: 0.2404 loss_kernel: 0.1224 loss_embedding: 0.0170 loss: 0.3799 2022/08/26 16:47:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:48:04 - mmengine - INFO - Epoch(train) [172][5/16] lr: 7.3895e-04 eta: 3:18:47 time: 2.5760 data_time: 0.4837 memory: 63381 loss_text: 0.2239 loss_kernel: 0.1130 loss_embedding: 0.0184 loss: 0.3553 2022/08/26 16:48:16 - mmengine - INFO - Epoch(train) [172][10/16] lr: 7.3895e-04 eta: 3:18:18 time: 2.7098 data_time: 0.5338 memory: 63381 loss_text: 0.2329 loss_kernel: 0.1161 loss_embedding: 0.0167 loss: 0.3657 2022/08/26 16:48:27 - mmengine - INFO - Epoch(train) [172][15/16] lr: 7.3895e-04 eta: 3:18:18 time: 2.3430 data_time: 0.1058 memory: 63381 loss_text: 0.2475 loss_kernel: 0.1238 loss_embedding: 0.0168 loss: 0.3882 2022/08/26 16:48:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:48:44 - mmengine - INFO - Epoch(train) [173][5/16] lr: 7.3740e-04 eta: 3:18:18 time: 2.6321 data_time: 0.4826 memory: 63381 loss_text: 0.2541 loss_kernel: 0.1274 loss_embedding: 0.0193 loss: 0.4008 2022/08/26 16:48:56 - mmengine - INFO - Epoch(train) [173][10/16] lr: 7.3740e-04 eta: 3:17:48 time: 2.7077 data_time: 0.5109 memory: 63381 loss_text: 0.2532 loss_kernel: 0.1265 loss_embedding: 0.0180 loss: 0.3976 2022/08/26 16:49:07 - mmengine - INFO - Epoch(train) [173][15/16] lr: 7.3740e-04 eta: 3:17:48 time: 2.2452 data_time: 0.0867 memory: 63381 loss_text: 0.2535 loss_kernel: 0.1254 loss_embedding: 0.0170 loss: 0.3960 2022/08/26 16:49:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:49:25 - mmengine - INFO - Epoch(train) [174][5/16] lr: 7.3584e-04 eta: 3:17:48 time: 2.6421 data_time: 0.5016 memory: 63381 loss_text: 0.2371 loss_kernel: 0.1173 loss_embedding: 0.0177 loss: 0.3722 2022/08/26 16:49:37 - mmengine - INFO - Epoch(train) [174][10/16] lr: 7.3584e-04 eta: 3:17:20 time: 2.7378 data_time: 0.5215 memory: 63381 loss_text: 0.2322 loss_kernel: 0.1175 loss_embedding: 0.0166 loss: 0.3664 2022/08/26 16:49:48 - mmengine - INFO - Epoch(train) [174][15/16] lr: 7.3584e-04 eta: 3:17:20 time: 2.2768 data_time: 0.0950 memory: 63381 loss_text: 0.2497 loss_kernel: 0.1244 loss_embedding: 0.0185 loss: 0.3926 2022/08/26 16:49:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:50:04 - mmengine - INFO - Epoch(train) [175][5/16] lr: 7.3429e-04 eta: 3:17:20 time: 2.5310 data_time: 0.4830 memory: 63381 loss_text: 0.2713 loss_kernel: 0.1347 loss_embedding: 0.0190 loss: 0.4249 2022/08/26 16:50:17 - mmengine - INFO - Epoch(train) [175][10/16] lr: 7.3429e-04 eta: 3:16:50 time: 2.6934 data_time: 0.5155 memory: 63381 loss_text: 0.2520 loss_kernel: 0.1259 loss_embedding: 0.0175 loss: 0.3953 2022/08/26 16:50:28 - mmengine - INFO - Epoch(train) [175][15/16] lr: 7.3429e-04 eta: 3:16:50 time: 2.3457 data_time: 0.0921 memory: 63381 loss_text: 0.2324 loss_kernel: 0.1179 loss_embedding: 0.0172 loss: 0.3674 2022/08/26 16:50:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:50:45 - mmengine - INFO - Epoch(train) [176][5/16] lr: 7.3273e-04 eta: 3:16:50 time: 2.5598 data_time: 0.4936 memory: 63381 loss_text: 0.2442 loss_kernel: 0.1251 loss_embedding: 0.0165 loss: 0.3858 2022/08/26 16:50:56 - mmengine - INFO - Epoch(train) [176][10/16] lr: 7.3273e-04 eta: 3:16:18 time: 2.6187 data_time: 0.5099 memory: 63381 loss_text: 0.2390 loss_kernel: 0.1218 loss_embedding: 0.0171 loss: 0.3779 2022/08/26 16:51:07 - mmengine - INFO - Epoch(train) [176][15/16] lr: 7.3273e-04 eta: 3:16:18 time: 2.2080 data_time: 0.0841 memory: 63381 loss_text: 0.2269 loss_kernel: 0.1160 loss_embedding: 0.0161 loss: 0.3589 2022/08/26 16:51:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:51:24 - mmengine - INFO - Epoch(train) [177][5/16] lr: 7.3118e-04 eta: 3:16:18 time: 2.5715 data_time: 0.4594 memory: 63381 loss_text: 0.2321 loss_kernel: 0.1143 loss_embedding: 0.0170 loss: 0.3634 2022/08/26 16:51:36 - mmengine - INFO - Epoch(train) [177][10/16] lr: 7.3118e-04 eta: 3:15:50 time: 2.7510 data_time: 0.5606 memory: 63381 loss_text: 0.2321 loss_kernel: 0.1188 loss_embedding: 0.0169 loss: 0.3677 2022/08/26 16:51:47 - mmengine - INFO - Epoch(train) [177][15/16] lr: 7.3118e-04 eta: 3:15:50 time: 2.2983 data_time: 0.1355 memory: 63381 loss_text: 0.2470 loss_kernel: 0.1292 loss_embedding: 0.0149 loss: 0.3910 2022/08/26 16:51:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:52:05 - mmengine - INFO - Epoch(train) [178][5/16] lr: 7.2962e-04 eta: 3:15:50 time: 2.6218 data_time: 0.4792 memory: 63381 loss_text: 0.2553 loss_kernel: 0.1295 loss_embedding: 0.0157 loss: 0.4006 2022/08/26 16:52:16 - mmengine - INFO - Epoch(train) [178][10/16] lr: 7.2962e-04 eta: 3:15:22 time: 2.7536 data_time: 0.5186 memory: 63381 loss_text: 0.2305 loss_kernel: 0.1168 loss_embedding: 0.0172 loss: 0.3645 2022/08/26 16:52:27 - mmengine - INFO - Epoch(train) [178][15/16] lr: 7.2962e-04 eta: 3:15:22 time: 2.2246 data_time: 0.0952 memory: 63381 loss_text: 0.2112 loss_kernel: 0.1093 loss_embedding: 0.0165 loss: 0.3370 2022/08/26 16:52:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:52:45 - mmengine - INFO - Epoch(train) [179][5/16] lr: 7.2806e-04 eta: 3:15:22 time: 2.6014 data_time: 0.4692 memory: 63381 loss_text: 0.2141 loss_kernel: 0.1143 loss_embedding: 0.0155 loss: 0.3438 2022/08/26 16:52:57 - mmengine - INFO - Epoch(train) [179][10/16] lr: 7.2806e-04 eta: 3:14:54 time: 2.7843 data_time: 0.5280 memory: 63381 loss_text: 0.2120 loss_kernel: 0.1114 loss_embedding: 0.0167 loss: 0.3401 2022/08/26 16:53:08 - mmengine - INFO - Epoch(train) [179][15/16] lr: 7.2806e-04 eta: 3:14:54 time: 2.3622 data_time: 0.1292 memory: 63381 loss_text: 0.2132 loss_kernel: 0.1097 loss_embedding: 0.0165 loss: 0.3394 2022/08/26 16:53:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:53:27 - mmengine - INFO - Epoch(train) [180][5/16] lr: 7.2651e-04 eta: 3:14:54 time: 2.7526 data_time: 0.5554 memory: 63381 loss_text: 0.2467 loss_kernel: 0.1236 loss_embedding: 0.0153 loss: 0.3855 2022/08/26 16:53:38 - mmengine - INFO - Epoch(train) [180][10/16] lr: 7.2651e-04 eta: 3:14:26 time: 2.7779 data_time: 0.5670 memory: 63381 loss_text: 0.2611 loss_kernel: 0.1297 loss_embedding: 0.0160 loss: 0.4067 2022/08/26 16:53:50 - mmengine - INFO - Epoch(train) [180][15/16] lr: 7.2651e-04 eta: 3:14:26 time: 2.3039 data_time: 0.0910 memory: 63381 loss_text: 0.2439 loss_kernel: 0.1231 loss_embedding: 0.0161 loss: 0.3831 2022/08/26 16:53:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:53:51 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/26 16:53:56 - mmengine - INFO - Epoch(val) [180][5/500] eta: 3:14:26 time: 0.0641 data_time: 0.0163 memory: 39748 2022/08/26 16:53:56 - mmengine - INFO - Epoch(val) [180][10/500] eta: 0:00:32 time: 0.0665 data_time: 0.0166 memory: 661 2022/08/26 16:53:56 - mmengine - INFO - Epoch(val) [180][15/500] eta: 0:00:32 time: 0.0242 data_time: 0.0023 memory: 661 2022/08/26 16:53:56 - mmengine - INFO - Epoch(val) [180][20/500] eta: 0:00:10 time: 0.0229 data_time: 0.0022 memory: 661 2022/08/26 16:53:56 - mmengine - INFO - Epoch(val) [180][25/500] eta: 0:00:10 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 16:53:57 - mmengine - INFO - Epoch(val) [180][30/500] eta: 0:00:11 time: 0.0242 data_time: 0.0020 memory: 661 2022/08/26 16:53:57 - mmengine - INFO - Epoch(val) [180][35/500] eta: 0:00:11 time: 0.0245 data_time: 0.0019 memory: 661 2022/08/26 16:53:57 - mmengine - INFO - Epoch(val) [180][40/500] eta: 0:00:11 time: 0.0252 data_time: 0.0019 memory: 661 2022/08/26 16:53:57 - mmengine - INFO - Epoch(val) [180][45/500] eta: 0:00:11 time: 0.0257 data_time: 0.0020 memory: 661 2022/08/26 16:53:57 - mmengine - INFO - Epoch(val) [180][50/500] eta: 0:00:10 time: 0.0228 data_time: 0.0020 memory: 661 2022/08/26 16:53:57 - mmengine - INFO - Epoch(val) [180][55/500] eta: 0:00:10 time: 0.0230 data_time: 0.0020 memory: 661 2022/08/26 16:53:57 - mmengine - INFO - Epoch(val) [180][60/500] eta: 0:00:09 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 16:53:57 - mmengine - INFO - Epoch(val) [180][65/500] eta: 0:00:09 time: 0.0241 data_time: 0.0020 memory: 661 2022/08/26 16:53:58 - mmengine - INFO - Epoch(val) [180][70/500] eta: 0:00:11 time: 0.0257 data_time: 0.0018 memory: 661 2022/08/26 16:53:58 - mmengine - INFO - Epoch(val) [180][75/500] eta: 0:00:11 time: 0.0226 data_time: 0.0019 memory: 661 2022/08/26 16:53:58 - mmengine - INFO - Epoch(val) [180][80/500] eta: 0:00:09 time: 0.0221 data_time: 0.0022 memory: 661 2022/08/26 16:53:58 - mmengine - INFO - Epoch(val) [180][85/500] eta: 0:00:09 time: 0.0219 data_time: 0.0025 memory: 661 2022/08/26 16:53:58 - mmengine - INFO - Epoch(val) [180][90/500] eta: 0:00:09 time: 0.0241 data_time: 0.0024 memory: 661 2022/08/26 16:53:58 - mmengine - INFO - Epoch(val) [180][95/500] eta: 0:00:09 time: 0.0257 data_time: 0.0022 memory: 661 2022/08/26 16:53:58 - mmengine - INFO - Epoch(val) [180][100/500] eta: 0:00:09 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 16:53:58 - mmengine - INFO - Epoch(val) [180][105/500] eta: 0:00:09 time: 0.0228 data_time: 0.0024 memory: 661 2022/08/26 16:53:58 - mmengine - INFO - Epoch(val) [180][110/500] eta: 0:00:08 time: 0.0225 data_time: 0.0023 memory: 661 2022/08/26 16:53:59 - mmengine - INFO - Epoch(val) [180][115/500] eta: 0:00:08 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 16:53:59 - mmengine - INFO - Epoch(val) [180][120/500] eta: 0:00:09 time: 0.0242 data_time: 0.0022 memory: 661 2022/08/26 16:53:59 - mmengine - INFO - Epoch(val) [180][125/500] eta: 0:00:09 time: 0.0228 data_time: 0.0023 memory: 661 2022/08/26 16:53:59 - mmengine - INFO - Epoch(val) [180][130/500] eta: 0:00:08 time: 0.0221 data_time: 0.0022 memory: 661 2022/08/26 16:53:59 - mmengine - INFO - Epoch(val) [180][135/500] eta: 0:00:08 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 16:53:59 - mmengine - INFO - Epoch(val) [180][140/500] eta: 0:00:08 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 16:53:59 - mmengine - INFO - Epoch(val) [180][145/500] eta: 0:00:08 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 16:53:59 - mmengine - INFO - Epoch(val) [180][150/500] eta: 0:00:08 time: 0.0239 data_time: 0.0021 memory: 661 2022/08/26 16:54:00 - mmengine - INFO - Epoch(val) [180][155/500] eta: 0:00:08 time: 0.0263 data_time: 0.0021 memory: 661 2022/08/26 16:54:00 - mmengine - INFO - Epoch(val) [180][160/500] eta: 0:00:08 time: 0.0262 data_time: 0.0021 memory: 661 2022/08/26 16:54:00 - mmengine - INFO - Epoch(val) [180][165/500] eta: 0:00:08 time: 0.0264 data_time: 0.0021 memory: 661 2022/08/26 16:54:00 - mmengine - INFO - Epoch(val) [180][170/500] eta: 0:00:09 time: 0.0275 data_time: 0.0021 memory: 661 2022/08/26 16:54:00 - mmengine - INFO - Epoch(val) [180][175/500] eta: 0:00:09 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 16:54:00 - mmengine - INFO - Epoch(val) [180][180/500] eta: 0:00:07 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 16:54:00 - mmengine - INFO - Epoch(val) [180][185/500] eta: 0:00:07 time: 0.0250 data_time: 0.0020 memory: 661 2022/08/26 16:54:00 - mmengine - INFO - Epoch(val) [180][190/500] eta: 0:00:07 time: 0.0254 data_time: 0.0021 memory: 661 2022/08/26 16:54:01 - mmengine - INFO - Epoch(val) [180][195/500] eta: 0:00:07 time: 0.0233 data_time: 0.0022 memory: 661 2022/08/26 16:54:01 - mmengine - INFO - Epoch(val) [180][200/500] eta: 0:00:08 time: 0.0273 data_time: 0.0022 memory: 661 2022/08/26 16:54:01 - mmengine - INFO - Epoch(val) [180][205/500] eta: 0:00:08 time: 0.0271 data_time: 0.0022 memory: 661 2022/08/26 16:54:01 - mmengine - INFO - Epoch(val) [180][210/500] eta: 0:00:06 time: 0.0217 data_time: 0.0023 memory: 661 2022/08/26 16:54:01 - mmengine - INFO - Epoch(val) [180][215/500] eta: 0:00:06 time: 0.0225 data_time: 0.0023 memory: 661 2022/08/26 16:54:01 - mmengine - INFO - Epoch(val) [180][220/500] eta: 0:00:06 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 16:54:01 - mmengine - INFO - Epoch(val) [180][225/500] eta: 0:00:06 time: 0.0245 data_time: 0.0024 memory: 661 2022/08/26 16:54:01 - mmengine - INFO - Epoch(val) [180][230/500] eta: 0:00:06 time: 0.0235 data_time: 0.0025 memory: 661 2022/08/26 16:54:02 - mmengine - INFO - Epoch(val) [180][235/500] eta: 0:00:06 time: 0.0229 data_time: 0.0024 memory: 661 2022/08/26 16:54:02 - mmengine - INFO - Epoch(val) [180][240/500] eta: 0:00:06 time: 0.0239 data_time: 0.0022 memory: 661 2022/08/26 16:54:02 - mmengine - INFO - Epoch(val) [180][245/500] eta: 0:00:06 time: 0.0223 data_time: 0.0022 memory: 661 2022/08/26 16:54:02 - mmengine - INFO - Epoch(val) [180][250/500] eta: 0:00:05 time: 0.0234 data_time: 0.0025 memory: 661 2022/08/26 16:54:02 - mmengine - INFO - Epoch(val) [180][255/500] eta: 0:00:05 time: 0.0230 data_time: 0.0023 memory: 661 2022/08/26 16:54:02 - mmengine - INFO - Epoch(val) [180][260/500] eta: 0:00:05 time: 0.0212 data_time: 0.0021 memory: 661 2022/08/26 16:54:02 - mmengine - INFO - Epoch(val) [180][265/500] eta: 0:00:05 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 16:54:02 - mmengine - INFO - Epoch(val) [180][270/500] eta: 0:00:05 time: 0.0222 data_time: 0.0022 memory: 661 2022/08/26 16:54:02 - mmengine - INFO - Epoch(val) [180][275/500] eta: 0:00:05 time: 0.0220 data_time: 0.0024 memory: 661 2022/08/26 16:54:03 - mmengine - INFO - Epoch(val) [180][280/500] eta: 0:00:05 time: 0.0236 data_time: 0.0024 memory: 661 2022/08/26 16:54:03 - mmengine - INFO - Epoch(val) [180][285/500] eta: 0:00:05 time: 0.0242 data_time: 0.0022 memory: 661 2022/08/26 16:54:03 - mmengine - INFO - Epoch(val) [180][290/500] eta: 0:00:05 time: 0.0246 data_time: 0.0022 memory: 661 2022/08/26 16:54:03 - mmengine - INFO - Epoch(val) [180][295/500] eta: 0:00:05 time: 0.0248 data_time: 0.0025 memory: 661 2022/08/26 16:54:03 - mmengine - INFO - Epoch(val) [180][300/500] eta: 0:00:04 time: 0.0249 data_time: 0.0025 memory: 661 2022/08/26 16:54:03 - mmengine - INFO - Epoch(val) [180][305/500] eta: 0:00:04 time: 0.0249 data_time: 0.0022 memory: 661 2022/08/26 16:54:03 - mmengine - INFO - Epoch(val) [180][310/500] eta: 0:00:04 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 16:54:03 - mmengine - INFO - Epoch(val) [180][315/500] eta: 0:00:04 time: 0.0235 data_time: 0.0020 memory: 661 2022/08/26 16:54:03 - mmengine - INFO - Epoch(val) [180][320/500] eta: 0:00:04 time: 0.0230 data_time: 0.0019 memory: 661 2022/08/26 16:54:04 - mmengine - INFO - Epoch(val) [180][325/500] eta: 0:00:04 time: 0.0314 data_time: 0.0020 memory: 661 2022/08/26 16:54:04 - mmengine - INFO - Epoch(val) [180][330/500] eta: 0:00:05 time: 0.0316 data_time: 0.0020 memory: 661 2022/08/26 16:54:04 - mmengine - INFO - Epoch(val) [180][335/500] eta: 0:00:05 time: 0.0208 data_time: 0.0020 memory: 661 2022/08/26 16:54:04 - mmengine - INFO - Epoch(val) [180][340/500] eta: 0:00:04 time: 0.0258 data_time: 0.0020 memory: 661 2022/08/26 16:54:04 - mmengine - INFO - Epoch(val) [180][345/500] eta: 0:00:04 time: 0.0266 data_time: 0.0021 memory: 661 2022/08/26 16:54:04 - mmengine - INFO - Epoch(val) [180][350/500] eta: 0:00:03 time: 0.0265 data_time: 0.0022 memory: 661 2022/08/26 16:54:04 - mmengine - INFO - Epoch(val) [180][355/500] eta: 0:00:03 time: 0.0260 data_time: 0.0022 memory: 661 2022/08/26 16:54:05 - mmengine - INFO - Epoch(val) [180][360/500] eta: 0:00:03 time: 0.0225 data_time: 0.0023 memory: 661 2022/08/26 16:54:05 - mmengine - INFO - Epoch(val) [180][365/500] eta: 0:00:03 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 16:54:05 - mmengine - INFO - Epoch(val) [180][370/500] eta: 0:00:02 time: 0.0213 data_time: 0.0022 memory: 661 2022/08/26 16:54:05 - mmengine - INFO - Epoch(val) [180][375/500] eta: 0:00:02 time: 0.0207 data_time: 0.0022 memory: 661 2022/08/26 16:54:05 - mmengine - INFO - Epoch(val) [180][380/500] eta: 0:00:02 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 16:54:05 - mmengine - INFO - Epoch(val) [180][385/500] eta: 0:00:02 time: 0.0247 data_time: 0.0021 memory: 661 2022/08/26 16:54:05 - mmengine - INFO - Epoch(val) [180][390/500] eta: 0:00:02 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 16:54:05 - mmengine - INFO - Epoch(val) [180][395/500] eta: 0:00:02 time: 0.0238 data_time: 0.0022 memory: 661 2022/08/26 16:54:05 - mmengine - INFO - Epoch(val) [180][400/500] eta: 0:00:02 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 16:54:06 - mmengine - INFO - Epoch(val) [180][405/500] eta: 0:00:02 time: 0.0234 data_time: 0.0021 memory: 661 2022/08/26 16:54:06 - mmengine - INFO - Epoch(val) [180][410/500] eta: 0:00:02 time: 0.0246 data_time: 0.0020 memory: 661 2022/08/26 16:54:06 - mmengine - INFO - Epoch(val) [180][415/500] eta: 0:00:02 time: 0.0236 data_time: 0.0020 memory: 661 2022/08/26 16:54:06 - mmengine - INFO - Epoch(val) [180][420/500] eta: 0:00:01 time: 0.0212 data_time: 0.0021 memory: 661 2022/08/26 16:54:06 - mmengine - INFO - Epoch(val) [180][425/500] eta: 0:00:01 time: 0.0217 data_time: 0.0022 memory: 661 2022/08/26 16:54:06 - mmengine - INFO - Epoch(val) [180][430/500] eta: 0:00:01 time: 0.0230 data_time: 0.0021 memory: 661 2022/08/26 16:54:06 - mmengine - INFO - Epoch(val) [180][435/500] eta: 0:00:01 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 16:54:06 - mmengine - INFO - Epoch(val) [180][440/500] eta: 0:00:01 time: 0.0226 data_time: 0.0021 memory: 661 2022/08/26 16:54:07 - mmengine - INFO - Epoch(val) [180][445/500] eta: 0:00:01 time: 0.0245 data_time: 0.0022 memory: 661 2022/08/26 16:54:07 - mmengine - INFO - Epoch(val) [180][450/500] eta: 0:00:01 time: 0.0280 data_time: 0.0026 memory: 661 2022/08/26 16:54:07 - mmengine - INFO - Epoch(val) [180][455/500] eta: 0:00:01 time: 0.0271 data_time: 0.0026 memory: 661 2022/08/26 16:54:07 - mmengine - INFO - Epoch(val) [180][460/500] eta: 0:00:00 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 16:54:07 - mmengine - INFO - Epoch(val) [180][465/500] eta: 0:00:00 time: 0.0207 data_time: 0.0021 memory: 661 2022/08/26 16:54:07 - mmengine - INFO - Epoch(val) [180][470/500] eta: 0:00:00 time: 0.0215 data_time: 0.0022 memory: 661 2022/08/26 16:54:07 - mmengine - INFO - Epoch(val) [180][475/500] eta: 0:00:00 time: 0.0209 data_time: 0.0022 memory: 661 2022/08/26 16:54:07 - mmengine - INFO - Epoch(val) [180][480/500] eta: 0:00:00 time: 0.0217 data_time: 0.0022 memory: 661 2022/08/26 16:54:07 - mmengine - INFO - Epoch(val) [180][485/500] eta: 0:00:00 time: 0.0225 data_time: 0.0022 memory: 661 2022/08/26 16:54:08 - mmengine - INFO - Epoch(val) [180][490/500] eta: 0:00:00 time: 0.0235 data_time: 0.0021 memory: 661 2022/08/26 16:54:08 - mmengine - INFO - Epoch(val) [180][495/500] eta: 0:00:00 time: 0.0248 data_time: 0.0021 memory: 661 2022/08/26 16:54:09 - mmengine - INFO - Epoch(val) [180][500/500] eta: 0:00:00 time: 0.1098 data_time: 0.0079 memory: 661 2022/08/26 16:54:09 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7342, precision: 0.6897, hmean: 0.7113 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7342, precision: 0.6897, hmean: 0.7113 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7342, precision: 0.6897, hmean: 0.7113 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7342, precision: 0.6897, hmean: 0.7113 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7342, precision: 0.6897, hmean: 0.7113 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7342, precision: 0.6900, hmean: 0.7115 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7342, precision: 0.6948, hmean: 0.7140 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7338, precision: 0.7059, hmean: 0.7195 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7328, precision: 0.7241, hmean: 0.7284 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7313, precision: 0.7428, hmean: 0.7370 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7265, precision: 0.7679, hmean: 0.7467 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7145, precision: 0.7983, hmean: 0.7541 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6639, precision: 0.8409, hmean: 0.7420 2022/08/26 16:54:09 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.2369, precision: 0.8945, hmean: 0.3746 2022/08/26 16:54:09 - mmengine - INFO - Epoch(val) [180][500/500] icdar/precision: 0.7983 icdar/recall: 0.7145 icdar/hmean: 0.7541 2022/08/26 16:54:25 - mmengine - INFO - Epoch(train) [181][5/16] lr: 7.2495e-04 eta: 0:00:00 time: 2.6273 data_time: 0.4925 memory: 63381 loss_text: 0.2138 loss_kernel: 0.1092 loss_embedding: 0.0142 loss: 0.3372 2022/08/26 16:54:37 - mmengine - INFO - Epoch(train) [181][10/16] lr: 7.2495e-04 eta: 3:13:58 time: 2.7583 data_time: 0.5013 memory: 63381 loss_text: 0.2208 loss_kernel: 0.1129 loss_embedding: 0.0144 loss: 0.3482 2022/08/26 16:54:49 - mmengine - INFO - Epoch(train) [181][15/16] lr: 7.2495e-04 eta: 3:13:58 time: 2.4203 data_time: 0.1279 memory: 63381 loss_text: 0.2356 loss_kernel: 0.1233 loss_embedding: 0.0151 loss: 0.3740 2022/08/26 16:54:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:55:06 - mmengine - INFO - Epoch(train) [182][5/16] lr: 7.2339e-04 eta: 3:13:58 time: 2.6779 data_time: 0.5262 memory: 63381 loss_text: 0.2304 loss_kernel: 0.1220 loss_embedding: 0.0167 loss: 0.3691 2022/08/26 16:55:18 - mmengine - INFO - Epoch(train) [182][10/16] lr: 7.2339e-04 eta: 3:13:29 time: 2.7188 data_time: 0.5063 memory: 63381 loss_text: 0.2403 loss_kernel: 0.1240 loss_embedding: 0.0154 loss: 0.3797 2022/08/26 16:55:29 - mmengine - INFO - Epoch(train) [182][15/16] lr: 7.2339e-04 eta: 3:13:29 time: 2.3532 data_time: 0.0915 memory: 63381 loss_text: 0.2493 loss_kernel: 0.1268 loss_embedding: 0.0126 loss: 0.3886 2022/08/26 16:55:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:55:46 - mmengine - INFO - Epoch(train) [183][5/16] lr: 7.2184e-04 eta: 3:13:29 time: 2.6207 data_time: 0.4781 memory: 63381 loss_text: 0.2454 loss_kernel: 0.1272 loss_embedding: 0.0132 loss: 0.3858 2022/08/26 16:55:58 - mmengine - INFO - Epoch(train) [183][10/16] lr: 7.2184e-04 eta: 3:13:00 time: 2.6916 data_time: 0.5302 memory: 63381 loss_text: 0.2316 loss_kernel: 0.1224 loss_embedding: 0.0141 loss: 0.3681 2022/08/26 16:56:10 - mmengine - INFO - Epoch(train) [183][15/16] lr: 7.2184e-04 eta: 3:13:00 time: 2.3549 data_time: 0.1036 memory: 63381 loss_text: 0.2249 loss_kernel: 0.1166 loss_embedding: 0.0158 loss: 0.3574 2022/08/26 16:56:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:56:27 - mmengine - INFO - Epoch(train) [184][5/16] lr: 7.2028e-04 eta: 3:13:00 time: 2.6491 data_time: 0.4891 memory: 63381 loss_text: 0.2267 loss_kernel: 0.1162 loss_embedding: 0.0154 loss: 0.3583 2022/08/26 16:56:39 - mmengine - INFO - Epoch(train) [184][10/16] lr: 7.2028e-04 eta: 3:12:31 time: 2.7507 data_time: 0.5108 memory: 63381 loss_text: 0.2327 loss_kernel: 0.1193 loss_embedding: 0.0161 loss: 0.3681 2022/08/26 16:56:50 - mmengine - INFO - Epoch(train) [184][15/16] lr: 7.2028e-04 eta: 3:12:31 time: 2.3549 data_time: 0.0771 memory: 63381 loss_text: 0.2464 loss_kernel: 0.1266 loss_embedding: 0.0176 loss: 0.3906 2022/08/26 16:56:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:57:07 - mmengine - INFO - Epoch(train) [185][5/16] lr: 7.1872e-04 eta: 3:12:31 time: 2.5789 data_time: 0.4689 memory: 63381 loss_text: 0.2371 loss_kernel: 0.1225 loss_embedding: 0.0172 loss: 0.3769 2022/08/26 16:57:20 - mmengine - INFO - Epoch(train) [185][10/16] lr: 7.1872e-04 eta: 3:12:03 time: 2.7702 data_time: 0.4956 memory: 63381 loss_text: 0.2297 loss_kernel: 0.1189 loss_embedding: 0.0169 loss: 0.3655 2022/08/26 16:57:31 - mmengine - INFO - Epoch(train) [185][15/16] lr: 7.1872e-04 eta: 3:12:03 time: 2.3944 data_time: 0.0798 memory: 63381 loss_text: 0.2411 loss_kernel: 0.1245 loss_embedding: 0.0165 loss: 0.3821 2022/08/26 16:57:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:57:48 - mmengine - INFO - Epoch(train) [186][5/16] lr: 7.1716e-04 eta: 3:12:03 time: 2.6047 data_time: 0.5006 memory: 63381 loss_text: 0.2347 loss_kernel: 0.1230 loss_embedding: 0.0174 loss: 0.3750 2022/08/26 16:58:00 - mmengine - INFO - Epoch(train) [186][10/16] lr: 7.1716e-04 eta: 3:11:36 time: 2.7781 data_time: 0.5570 memory: 63381 loss_text: 0.2233 loss_kernel: 0.1166 loss_embedding: 0.0138 loss: 0.3537 2022/08/26 16:58:12 - mmengine - INFO - Epoch(train) [186][15/16] lr: 7.1716e-04 eta: 3:11:36 time: 2.3557 data_time: 0.1011 memory: 63381 loss_text: 0.2344 loss_kernel: 0.1201 loss_embedding: 0.0131 loss: 0.3677 2022/08/26 16:58:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:58:29 - mmengine - INFO - Epoch(train) [187][5/16] lr: 7.1560e-04 eta: 3:11:36 time: 2.6088 data_time: 0.4962 memory: 63381 loss_text: 0.2385 loss_kernel: 0.1219 loss_embedding: 0.0153 loss: 0.3758 2022/08/26 16:58:41 - mmengine - INFO - Epoch(train) [187][10/16] lr: 7.1560e-04 eta: 3:11:09 time: 2.8004 data_time: 0.5644 memory: 63381 loss_text: 0.2293 loss_kernel: 0.1185 loss_embedding: 0.0171 loss: 0.3650 2022/08/26 16:58:52 - mmengine - INFO - Epoch(train) [187][15/16] lr: 7.1560e-04 eta: 3:11:09 time: 2.3650 data_time: 0.1244 memory: 63381 loss_text: 0.2274 loss_kernel: 0.1179 loss_embedding: 0.0177 loss: 0.3631 2022/08/26 16:58:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:59:10 - mmengine - INFO - Epoch(train) [188][5/16] lr: 7.1404e-04 eta: 3:11:09 time: 2.6128 data_time: 0.4811 memory: 63381 loss_text: 0.2326 loss_kernel: 0.1188 loss_embedding: 0.0166 loss: 0.3680 2022/08/26 16:59:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:59:21 - mmengine - INFO - Epoch(train) [188][10/16] lr: 7.1404e-04 eta: 3:10:39 time: 2.6994 data_time: 0.5113 memory: 63381 loss_text: 0.2407 loss_kernel: 0.1215 loss_embedding: 0.0148 loss: 0.3771 2022/08/26 16:59:33 - mmengine - INFO - Epoch(train) [188][15/16] lr: 7.1404e-04 eta: 3:10:39 time: 2.3052 data_time: 0.0971 memory: 63381 loss_text: 0.2424 loss_kernel: 0.1211 loss_embedding: 0.0150 loss: 0.3785 2022/08/26 16:59:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 16:59:50 - mmengine - INFO - Epoch(train) [189][5/16] lr: 7.1248e-04 eta: 3:10:39 time: 2.6492 data_time: 0.4829 memory: 63381 loss_text: 0.2324 loss_kernel: 0.1183 loss_embedding: 0.0171 loss: 0.3678 2022/08/26 17:00:01 - mmengine - INFO - Epoch(train) [189][10/16] lr: 7.1248e-04 eta: 3:10:09 time: 2.6816 data_time: 0.5148 memory: 63381 loss_text: 0.2292 loss_kernel: 0.1179 loss_embedding: 0.0151 loss: 0.3622 2022/08/26 17:00:12 - mmengine - INFO - Epoch(train) [189][15/16] lr: 7.1248e-04 eta: 3:10:09 time: 2.2876 data_time: 0.0967 memory: 63381 loss_text: 0.2372 loss_kernel: 0.1205 loss_embedding: 0.0150 loss: 0.3727 2022/08/26 17:00:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:00:29 - mmengine - INFO - Epoch(train) [190][5/16] lr: 7.1092e-04 eta: 3:10:09 time: 2.5824 data_time: 0.4805 memory: 63381 loss_text: 0.2400 loss_kernel: 0.1214 loss_embedding: 0.0165 loss: 0.3778 2022/08/26 17:00:41 - mmengine - INFO - Epoch(train) [190][10/16] lr: 7.1092e-04 eta: 3:09:40 time: 2.7036 data_time: 0.5355 memory: 63381 loss_text: 0.2346 loss_kernel: 0.1183 loss_embedding: 0.0172 loss: 0.3701 2022/08/26 17:00:53 - mmengine - INFO - Epoch(train) [190][15/16] lr: 7.1092e-04 eta: 3:09:40 time: 2.3606 data_time: 0.1041 memory: 63381 loss_text: 0.2347 loss_kernel: 0.1206 loss_embedding: 0.0163 loss: 0.3717 2022/08/26 17:00:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:01:10 - mmengine - INFO - Epoch(train) [191][5/16] lr: 7.0936e-04 eta: 3:09:40 time: 2.6693 data_time: 0.4651 memory: 63381 loss_text: 0.2297 loss_kernel: 0.1189 loss_embedding: 0.0172 loss: 0.3658 2022/08/26 17:01:21 - mmengine - INFO - Epoch(train) [191][10/16] lr: 7.0936e-04 eta: 3:09:11 time: 2.6858 data_time: 0.5071 memory: 63381 loss_text: 0.2376 loss_kernel: 0.1226 loss_embedding: 0.0163 loss: 0.3765 2022/08/26 17:01:32 - mmengine - INFO - Epoch(train) [191][15/16] lr: 7.0936e-04 eta: 3:09:11 time: 2.2535 data_time: 0.0893 memory: 63381 loss_text: 0.2415 loss_kernel: 0.1267 loss_embedding: 0.0149 loss: 0.3832 2022/08/26 17:01:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:01:50 - mmengine - INFO - Epoch(train) [192][5/16] lr: 7.0780e-04 eta: 3:09:11 time: 2.6555 data_time: 0.4791 memory: 63381 loss_text: 0.2294 loss_kernel: 0.1187 loss_embedding: 0.0151 loss: 0.3633 2022/08/26 17:02:02 - mmengine - INFO - Epoch(train) [192][10/16] lr: 7.0780e-04 eta: 3:08:43 time: 2.7674 data_time: 0.5128 memory: 63381 loss_text: 0.2248 loss_kernel: 0.1172 loss_embedding: 0.0150 loss: 0.3570 2022/08/26 17:02:13 - mmengine - INFO - Epoch(train) [192][15/16] lr: 7.0780e-04 eta: 3:08:43 time: 2.2954 data_time: 0.0866 memory: 63381 loss_text: 0.2535 loss_kernel: 0.1290 loss_embedding: 0.0164 loss: 0.3989 2022/08/26 17:02:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:02:30 - mmengine - INFO - Epoch(train) [193][5/16] lr: 7.0624e-04 eta: 3:08:43 time: 2.6038 data_time: 0.4835 memory: 63381 loss_text: 0.2681 loss_kernel: 0.1332 loss_embedding: 0.0177 loss: 0.4190 2022/08/26 17:02:41 - mmengine - INFO - Epoch(train) [193][10/16] lr: 7.0624e-04 eta: 3:08:13 time: 2.6638 data_time: 0.5254 memory: 63381 loss_text: 0.2516 loss_kernel: 0.1306 loss_embedding: 0.0168 loss: 0.3990 2022/08/26 17:02:53 - mmengine - INFO - Epoch(train) [193][15/16] lr: 7.0624e-04 eta: 3:08:13 time: 2.3240 data_time: 0.0942 memory: 63381 loss_text: 0.2226 loss_kernel: 0.1148 loss_embedding: 0.0148 loss: 0.3522 2022/08/26 17:02:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:03:11 - mmengine - INFO - Epoch(train) [194][5/16] lr: 7.0468e-04 eta: 3:08:13 time: 2.7040 data_time: 0.4720 memory: 63381 loss_text: 0.2137 loss_kernel: 0.1080 loss_embedding: 0.0151 loss: 0.3368 2022/08/26 17:03:22 - mmengine - INFO - Epoch(train) [194][10/16] lr: 7.0468e-04 eta: 3:07:45 time: 2.7609 data_time: 0.5284 memory: 63381 loss_text: 0.2241 loss_kernel: 0.1150 loss_embedding: 0.0172 loss: 0.3563 2022/08/26 17:03:34 - mmengine - INFO - Epoch(train) [194][15/16] lr: 7.0468e-04 eta: 3:07:45 time: 2.3289 data_time: 0.1000 memory: 63381 loss_text: 0.2371 loss_kernel: 0.1194 loss_embedding: 0.0166 loss: 0.3731 2022/08/26 17:03:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:03:52 - mmengine - INFO - Epoch(train) [195][5/16] lr: 7.0311e-04 eta: 3:07:45 time: 2.7721 data_time: 0.4862 memory: 63381 loss_text: 0.2381 loss_kernel: 0.1194 loss_embedding: 0.0166 loss: 0.3741 2022/08/26 17:04:03 - mmengine - INFO - Epoch(train) [195][10/16] lr: 7.0311e-04 eta: 3:07:17 time: 2.7889 data_time: 0.5181 memory: 63381 loss_text: 0.2267 loss_kernel: 0.1169 loss_embedding: 0.0165 loss: 0.3601 2022/08/26 17:04:15 - mmengine - INFO - Epoch(train) [195][15/16] lr: 7.0311e-04 eta: 3:07:17 time: 2.3242 data_time: 0.1270 memory: 63381 loss_text: 0.2381 loss_kernel: 0.1213 loss_embedding: 0.0147 loss: 0.3742 2022/08/26 17:04:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:04:33 - mmengine - INFO - Epoch(train) [196][5/16] lr: 7.0155e-04 eta: 3:07:17 time: 2.6840 data_time: 0.5398 memory: 63381 loss_text: 0.2332 loss_kernel: 0.1168 loss_embedding: 0.0152 loss: 0.3652 2022/08/26 17:04:45 - mmengine - INFO - Epoch(train) [196][10/16] lr: 7.0155e-04 eta: 3:06:51 time: 2.8380 data_time: 0.5780 memory: 63381 loss_text: 0.2083 loss_kernel: 0.1059 loss_embedding: 0.0167 loss: 0.3310 2022/08/26 17:04:56 - mmengine - INFO - Epoch(train) [196][15/16] lr: 7.0155e-04 eta: 3:06:51 time: 2.2875 data_time: 0.0949 memory: 63381 loss_text: 0.2229 loss_kernel: 0.1123 loss_embedding: 0.0160 loss: 0.3512 2022/08/26 17:04:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:05:15 - mmengine - INFO - Epoch(train) [197][5/16] lr: 6.9999e-04 eta: 3:06:51 time: 2.7003 data_time: 0.5454 memory: 63381 loss_text: 0.2442 loss_kernel: 0.1268 loss_embedding: 0.0144 loss: 0.3854 2022/08/26 17:05:26 - mmengine - INFO - Epoch(train) [197][10/16] lr: 6.9999e-04 eta: 3:06:25 time: 2.8427 data_time: 0.5869 memory: 63381 loss_text: 0.2389 loss_kernel: 0.1259 loss_embedding: 0.0150 loss: 0.3798 2022/08/26 17:05:37 - mmengine - INFO - Epoch(train) [197][15/16] lr: 6.9999e-04 eta: 3:06:25 time: 2.2605 data_time: 0.0838 memory: 63381 loss_text: 0.2245 loss_kernel: 0.1176 loss_embedding: 0.0163 loss: 0.3583 2022/08/26 17:05:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:05:55 - mmengine - INFO - Epoch(train) [198][5/16] lr: 6.9842e-04 eta: 3:06:25 time: 2.6179 data_time: 0.4780 memory: 63381 loss_text: 0.2381 loss_kernel: 0.1198 loss_embedding: 0.0149 loss: 0.3728 2022/08/26 17:06:06 - mmengine - INFO - Epoch(train) [198][10/16] lr: 6.9842e-04 eta: 3:05:57 time: 2.7519 data_time: 0.5003 memory: 63381 loss_text: 0.2308 loss_kernel: 0.1172 loss_embedding: 0.0153 loss: 0.3633 2022/08/26 17:06:17 - mmengine - INFO - Epoch(train) [198][15/16] lr: 6.9842e-04 eta: 3:05:57 time: 2.2634 data_time: 0.0822 memory: 63381 loss_text: 0.2276 loss_kernel: 0.1152 loss_embedding: 0.0160 loss: 0.3587 2022/08/26 17:06:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:06:35 - mmengine - INFO - Epoch(train) [199][5/16] lr: 6.9686e-04 eta: 3:05:57 time: 2.6335 data_time: 0.5038 memory: 63381 loss_text: 0.2462 loss_kernel: 0.1221 loss_embedding: 0.0155 loss: 0.3838 2022/08/26 17:06:47 - mmengine - INFO - Epoch(train) [199][10/16] lr: 6.9686e-04 eta: 3:05:28 time: 2.7491 data_time: 0.5433 memory: 63381 loss_text: 0.2370 loss_kernel: 0.1185 loss_embedding: 0.0145 loss: 0.3700 2022/08/26 17:06:58 - mmengine - INFO - Epoch(train) [199][15/16] lr: 6.9686e-04 eta: 3:05:28 time: 2.3155 data_time: 0.0965 memory: 63381 loss_text: 0.2350 loss_kernel: 0.1209 loss_embedding: 0.0151 loss: 0.3710 2022/08/26 17:07:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:07:16 - mmengine - INFO - Epoch(train) [200][5/16] lr: 6.9530e-04 eta: 3:05:28 time: 2.6395 data_time: 0.4878 memory: 63381 loss_text: 0.2559 loss_kernel: 0.1306 loss_embedding: 0.0152 loss: 0.4017 2022/08/26 17:07:27 - mmengine - INFO - Epoch(train) [200][10/16] lr: 6.9530e-04 eta: 3:04:59 time: 2.6930 data_time: 0.5170 memory: 63381 loss_text: 0.2387 loss_kernel: 0.1243 loss_embedding: 0.0141 loss: 0.3771 2022/08/26 17:07:39 - mmengine - INFO - Epoch(train) [200][15/16] lr: 6.9530e-04 eta: 3:04:59 time: 2.3043 data_time: 0.0853 memory: 63381 loss_text: 0.2124 loss_kernel: 0.1081 loss_embedding: 0.0128 loss: 0.3333 2022/08/26 17:07:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:07:40 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/26 17:07:44 - mmengine - INFO - Epoch(val) [200][5/500] eta: 3:04:59 time: 0.1440 data_time: 0.0232 memory: 39748 2022/08/26 17:07:44 - mmengine - INFO - Epoch(val) [200][10/500] eta: 0:00:28 time: 0.0585 data_time: 0.0176 memory: 661 2022/08/26 17:07:44 - mmengine - INFO - Epoch(val) [200][15/500] eta: 0:00:28 time: 0.0245 data_time: 0.0023 memory: 661 2022/08/26 17:07:44 - mmengine - INFO - Epoch(val) [200][20/500] eta: 0:00:12 time: 0.0251 data_time: 0.0024 memory: 661 2022/08/26 17:07:44 - mmengine - INFO - Epoch(val) [200][25/500] eta: 0:00:12 time: 0.0236 data_time: 0.0024 memory: 661 2022/08/26 17:07:45 - mmengine - INFO - Epoch(val) [200][30/500] eta: 0:00:12 time: 0.0271 data_time: 0.0024 memory: 661 2022/08/26 17:07:45 - mmengine - INFO - Epoch(val) [200][35/500] eta: 0:00:12 time: 0.0294 data_time: 0.0025 memory: 661 2022/08/26 17:07:45 - mmengine - INFO - Epoch(val) [200][40/500] eta: 0:00:12 time: 0.0279 data_time: 0.0023 memory: 661 2022/08/26 17:07:45 - mmengine - INFO - Epoch(val) [200][45/500] eta: 0:00:12 time: 0.0265 data_time: 0.0022 memory: 661 2022/08/26 17:07:45 - mmengine - INFO - Epoch(val) [200][50/500] eta: 0:00:10 time: 0.0239 data_time: 0.0023 memory: 661 2022/08/26 17:07:45 - mmengine - INFO - Epoch(val) [200][55/500] eta: 0:00:10 time: 0.0247 data_time: 0.0023 memory: 661 2022/08/26 17:07:45 - mmengine - INFO - Epoch(val) [200][60/500] eta: 0:00:10 time: 0.0234 data_time: 0.0023 memory: 661 2022/08/26 17:07:46 - mmengine - INFO - Epoch(val) [200][65/500] eta: 0:00:10 time: 0.0250 data_time: 0.0023 memory: 661 2022/08/26 17:07:46 - mmengine - INFO - Epoch(val) [200][70/500] eta: 0:00:11 time: 0.0261 data_time: 0.0022 memory: 661 2022/08/26 17:07:46 - mmengine - INFO - Epoch(val) [200][75/500] eta: 0:00:11 time: 0.0222 data_time: 0.0020 memory: 661 2022/08/26 17:07:46 - mmengine - INFO - Epoch(val) [200][80/500] eta: 0:00:08 time: 0.0201 data_time: 0.0021 memory: 661 2022/08/26 17:07:46 - mmengine - INFO - Epoch(val) [200][85/500] eta: 0:00:08 time: 0.0203 data_time: 0.0025 memory: 661 2022/08/26 17:07:46 - mmengine - INFO - Epoch(val) [200][90/500] eta: 0:00:11 time: 0.0275 data_time: 0.0025 memory: 661 2022/08/26 17:07:46 - mmengine - INFO - Epoch(val) [200][95/500] eta: 0:00:11 time: 0.0290 data_time: 0.0023 memory: 661 2022/08/26 17:07:46 - mmengine - INFO - Epoch(val) [200][100/500] eta: 0:00:09 time: 0.0227 data_time: 0.0020 memory: 661 2022/08/26 17:07:46 - mmengine - INFO - Epoch(val) [200][105/500] eta: 0:00:09 time: 0.0223 data_time: 0.0020 memory: 661 2022/08/26 17:07:47 - mmengine - INFO - Epoch(val) [200][110/500] eta: 0:00:08 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 17:07:47 - mmengine - INFO - Epoch(val) [200][115/500] eta: 0:00:08 time: 0.0223 data_time: 0.0020 memory: 661 2022/08/26 17:07:47 - mmengine - INFO - Epoch(val) [200][120/500] eta: 0:00:08 time: 0.0230 data_time: 0.0019 memory: 661 2022/08/26 17:07:47 - mmengine - INFO - Epoch(val) [200][125/500] eta: 0:00:08 time: 0.0217 data_time: 0.0019 memory: 661 2022/08/26 17:07:47 - mmengine - INFO - Epoch(val) [200][130/500] eta: 0:00:07 time: 0.0210 data_time: 0.0019 memory: 661 2022/08/26 17:07:47 - mmengine - INFO - Epoch(val) [200][135/500] eta: 0:00:07 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 17:07:47 - mmengine - INFO - Epoch(val) [200][140/500] eta: 0:00:08 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 17:07:47 - mmengine - INFO - Epoch(val) [200][145/500] eta: 0:00:08 time: 0.0244 data_time: 0.0019 memory: 661 2022/08/26 17:07:47 - mmengine - INFO - Epoch(val) [200][150/500] eta: 0:00:08 time: 0.0245 data_time: 0.0020 memory: 661 2022/08/26 17:07:48 - mmengine - INFO - Epoch(val) [200][155/500] eta: 0:00:08 time: 0.0259 data_time: 0.0019 memory: 661 2022/08/26 17:07:48 - mmengine - INFO - Epoch(val) [200][160/500] eta: 0:00:08 time: 0.0257 data_time: 0.0018 memory: 661 2022/08/26 17:07:48 - mmengine - INFO - Epoch(val) [200][165/500] eta: 0:00:08 time: 0.0232 data_time: 0.0018 memory: 661 2022/08/26 17:07:48 - mmengine - INFO - Epoch(val) [200][170/500] eta: 0:00:07 time: 0.0232 data_time: 0.0017 memory: 661 2022/08/26 17:07:48 - mmengine - INFO - Epoch(val) [200][175/500] eta: 0:00:07 time: 0.0210 data_time: 0.0018 memory: 661 2022/08/26 17:07:48 - mmengine - INFO - Epoch(val) [200][180/500] eta: 0:00:06 time: 0.0214 data_time: 0.0021 memory: 661 2022/08/26 17:07:48 - mmengine - INFO - Epoch(val) [200][185/500] eta: 0:00:06 time: 0.0240 data_time: 0.0022 memory: 661 2022/08/26 17:07:48 - mmengine - INFO - Epoch(val) [200][190/500] eta: 0:00:07 time: 0.0238 data_time: 0.0019 memory: 661 2022/08/26 17:07:49 - mmengine - INFO - Epoch(val) [200][195/500] eta: 0:00:07 time: 0.0215 data_time: 0.0019 memory: 661 2022/08/26 17:07:49 - mmengine - INFO - Epoch(val) [200][200/500] eta: 0:00:07 time: 0.0254 data_time: 0.0019 memory: 661 2022/08/26 17:07:49 - mmengine - INFO - Epoch(val) [200][205/500] eta: 0:00:07 time: 0.0255 data_time: 0.0019 memory: 661 2022/08/26 17:07:49 - mmengine - INFO - Epoch(val) [200][210/500] eta: 0:00:05 time: 0.0203 data_time: 0.0019 memory: 661 2022/08/26 17:07:49 - mmengine - INFO - Epoch(val) [200][215/500] eta: 0:00:05 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 17:07:49 - mmengine - INFO - Epoch(val) [200][220/500] eta: 0:00:07 time: 0.0256 data_time: 0.0020 memory: 661 2022/08/26 17:07:49 - mmengine - INFO - Epoch(val) [200][225/500] eta: 0:00:07 time: 0.0258 data_time: 0.0019 memory: 661 2022/08/26 17:07:49 - mmengine - INFO - Epoch(val) [200][230/500] eta: 0:00:05 time: 0.0215 data_time: 0.0019 memory: 661 2022/08/26 17:07:49 - mmengine - INFO - Epoch(val) [200][235/500] eta: 0:00:05 time: 0.0215 data_time: 0.0019 memory: 661 2022/08/26 17:07:50 - mmengine - INFO - Epoch(val) [200][240/500] eta: 0:00:06 time: 0.0232 data_time: 0.0024 memory: 661 2022/08/26 17:07:50 - mmengine - INFO - Epoch(val) [200][245/500] eta: 0:00:06 time: 0.0218 data_time: 0.0024 memory: 661 2022/08/26 17:07:50 - mmengine - INFO - Epoch(val) [200][250/500] eta: 0:00:05 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 17:07:50 - mmengine - INFO - Epoch(val) [200][255/500] eta: 0:00:05 time: 0.0213 data_time: 0.0019 memory: 661 2022/08/26 17:07:50 - mmengine - INFO - Epoch(val) [200][260/500] eta: 0:00:04 time: 0.0206 data_time: 0.0020 memory: 661 2022/08/26 17:07:50 - mmengine - INFO - Epoch(val) [200][265/500] eta: 0:00:04 time: 0.0212 data_time: 0.0022 memory: 661 2022/08/26 17:07:50 - mmengine - INFO - Epoch(val) [200][270/500] eta: 0:00:05 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 17:07:50 - mmengine - INFO - Epoch(val) [200][275/500] eta: 0:00:05 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 17:07:50 - mmengine - INFO - Epoch(val) [200][280/500] eta: 0:00:05 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 17:07:51 - mmengine - INFO - Epoch(val) [200][285/500] eta: 0:00:05 time: 0.0234 data_time: 0.0022 memory: 661 2022/08/26 17:07:51 - mmengine - INFO - Epoch(val) [200][290/500] eta: 0:00:04 time: 0.0236 data_time: 0.0022 memory: 661 2022/08/26 17:07:51 - mmengine - INFO - Epoch(val) [200][295/500] eta: 0:00:04 time: 0.0276 data_time: 0.0057 memory: 661 2022/08/26 17:07:51 - mmengine - INFO - Epoch(val) [200][300/500] eta: 0:00:05 time: 0.0254 data_time: 0.0055 memory: 661 2022/08/26 17:07:51 - mmengine - INFO - Epoch(val) [200][305/500] eta: 0:00:05 time: 0.0208 data_time: 0.0016 memory: 661 2022/08/26 17:07:51 - mmengine - INFO - Epoch(val) [200][310/500] eta: 0:00:03 time: 0.0206 data_time: 0.0017 memory: 661 2022/08/26 17:07:51 - mmengine - INFO - Epoch(val) [200][315/500] eta: 0:00:03 time: 0.0227 data_time: 0.0018 memory: 661 2022/08/26 17:07:51 - mmengine - INFO - Epoch(val) [200][320/500] eta: 0:00:04 time: 0.0226 data_time: 0.0018 memory: 661 2022/08/26 17:07:52 - mmengine - INFO - Epoch(val) [200][325/500] eta: 0:00:04 time: 0.0302 data_time: 0.0018 memory: 661 2022/08/26 17:07:52 - mmengine - INFO - Epoch(val) [200][330/500] eta: 0:00:05 time: 0.0305 data_time: 0.0020 memory: 661 2022/08/26 17:07:52 - mmengine - INFO - Epoch(val) [200][335/500] eta: 0:00:05 time: 0.0208 data_time: 0.0021 memory: 661 2022/08/26 17:07:52 - mmengine - INFO - Epoch(val) [200][340/500] eta: 0:00:04 time: 0.0251 data_time: 0.0019 memory: 661 2022/08/26 17:07:52 - mmengine - INFO - Epoch(val) [200][345/500] eta: 0:00:04 time: 0.0253 data_time: 0.0018 memory: 661 2022/08/26 17:07:52 - mmengine - INFO - Epoch(val) [200][350/500] eta: 0:00:03 time: 0.0255 data_time: 0.0018 memory: 661 2022/08/26 17:07:52 - mmengine - INFO - Epoch(val) [200][355/500] eta: 0:00:03 time: 0.0299 data_time: 0.0023 memory: 661 2022/08/26 17:07:52 - mmengine - INFO - Epoch(val) [200][360/500] eta: 0:00:03 time: 0.0266 data_time: 0.0026 memory: 661 2022/08/26 17:07:53 - mmengine - INFO - Epoch(val) [200][365/500] eta: 0:00:03 time: 0.0227 data_time: 0.0023 memory: 661 2022/08/26 17:07:53 - mmengine - INFO - Epoch(val) [200][370/500] eta: 0:00:02 time: 0.0209 data_time: 0.0023 memory: 661 2022/08/26 17:07:53 - mmengine - INFO - Epoch(val) [200][375/500] eta: 0:00:02 time: 0.0201 data_time: 0.0022 memory: 661 2022/08/26 17:07:53 - mmengine - INFO - Epoch(val) [200][380/500] eta: 0:00:02 time: 0.0234 data_time: 0.0022 memory: 661 2022/08/26 17:07:53 - mmengine - INFO - Epoch(val) [200][385/500] eta: 0:00:02 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 17:07:53 - mmengine - INFO - Epoch(val) [200][390/500] eta: 0:00:02 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 17:07:53 - mmengine - INFO - Epoch(val) [200][395/500] eta: 0:00:02 time: 0.0212 data_time: 0.0018 memory: 661 2022/08/26 17:07:53 - mmengine - INFO - Epoch(val) [200][400/500] eta: 0:00:02 time: 0.0206 data_time: 0.0017 memory: 661 2022/08/26 17:07:53 - mmengine - INFO - Epoch(val) [200][405/500] eta: 0:00:02 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 17:07:54 - mmengine - INFO - Epoch(val) [200][410/500] eta: 0:00:02 time: 0.0226 data_time: 0.0020 memory: 661 2022/08/26 17:07:54 - mmengine - INFO - Epoch(val) [200][415/500] eta: 0:00:02 time: 0.0225 data_time: 0.0018 memory: 661 2022/08/26 17:07:54 - mmengine - INFO - Epoch(val) [200][420/500] eta: 0:00:01 time: 0.0204 data_time: 0.0019 memory: 661 2022/08/26 17:07:54 - mmengine - INFO - Epoch(val) [200][425/500] eta: 0:00:01 time: 0.0195 data_time: 0.0019 memory: 661 2022/08/26 17:07:54 - mmengine - INFO - Epoch(val) [200][430/500] eta: 0:00:01 time: 0.0202 data_time: 0.0016 memory: 661 2022/08/26 17:07:54 - mmengine - INFO - Epoch(val) [200][435/500] eta: 0:00:01 time: 0.0196 data_time: 0.0015 memory: 661 2022/08/26 17:07:54 - mmengine - INFO - Epoch(val) [200][440/500] eta: 0:00:01 time: 0.0229 data_time: 0.0018 memory: 661 2022/08/26 17:07:54 - mmengine - INFO - Epoch(val) [200][445/500] eta: 0:00:01 time: 0.0271 data_time: 0.0022 memory: 661 2022/08/26 17:07:54 - mmengine - INFO - Epoch(val) [200][450/500] eta: 0:00:01 time: 0.0256 data_time: 0.0023 memory: 661 2022/08/26 17:07:55 - mmengine - INFO - Epoch(val) [200][455/500] eta: 0:00:01 time: 0.0234 data_time: 0.0021 memory: 661 2022/08/26 17:07:55 - mmengine - INFO - Epoch(val) [200][460/500] eta: 0:00:00 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 17:07:55 - mmengine - INFO - Epoch(val) [200][465/500] eta: 0:00:00 time: 0.0205 data_time: 0.0021 memory: 661 2022/08/26 17:07:55 - mmengine - INFO - Epoch(val) [200][470/500] eta: 0:00:00 time: 0.0211 data_time: 0.0022 memory: 661 2022/08/26 17:07:55 - mmengine - INFO - Epoch(val) [200][475/500] eta: 0:00:00 time: 0.0211 data_time: 0.0024 memory: 661 2022/08/26 17:07:55 - mmengine - INFO - Epoch(val) [200][480/500] eta: 0:00:00 time: 0.0219 data_time: 0.0025 memory: 661 2022/08/26 17:07:55 - mmengine - INFO - Epoch(val) [200][485/500] eta: 0:00:00 time: 0.0220 data_time: 0.0022 memory: 661 2022/08/26 17:07:55 - mmengine - INFO - Epoch(val) [200][490/500] eta: 0:00:00 time: 0.0226 data_time: 0.0021 memory: 661 2022/08/26 17:07:55 - mmengine - INFO - Epoch(val) [200][495/500] eta: 0:00:00 time: 0.0243 data_time: 0.0021 memory: 661 2022/08/26 17:07:56 - mmengine - INFO - Epoch(val) [200][500/500] eta: 0:00:00 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 17:07:56 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7410, precision: 0.7353, hmean: 0.7381 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7410, precision: 0.7353, hmean: 0.7381 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7410, precision: 0.7353, hmean: 0.7381 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7410, precision: 0.7353, hmean: 0.7381 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7410, precision: 0.7353, hmean: 0.7381 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7410, precision: 0.7357, hmean: 0.7383 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7410, precision: 0.7399, hmean: 0.7404 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7405, precision: 0.7491, hmean: 0.7448 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7405, precision: 0.7603, hmean: 0.7502 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7381, precision: 0.7762, hmean: 0.7567 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7333, precision: 0.7965, hmean: 0.7636 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7222, precision: 0.8228, hmean: 0.7692 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6779, precision: 0.8528, hmean: 0.7554 2022/08/26 17:07:56 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.2802, precision: 0.9122, hmean: 0.4287 2022/08/26 17:07:56 - mmengine - INFO - Epoch(val) [200][500/500] icdar/precision: 0.8228 icdar/recall: 0.7222 icdar/hmean: 0.7692 2022/08/26 17:08:12 - mmengine - INFO - Epoch(train) [201][5/16] lr: 6.9373e-04 eta: 0:00:00 time: 2.7477 data_time: 0.4833 memory: 63381 loss_text: 0.2234 loss_kernel: 0.1117 loss_embedding: 0.0143 loss: 0.3494 2022/08/26 17:08:23 - mmengine - INFO - Epoch(train) [201][10/16] lr: 6.9373e-04 eta: 3:04:31 time: 2.7585 data_time: 0.5183 memory: 63381 loss_text: 0.2414 loss_kernel: 0.1229 loss_embedding: 0.0135 loss: 0.3778 2022/08/26 17:08:35 - mmengine - INFO - Epoch(train) [201][15/16] lr: 6.9373e-04 eta: 3:04:31 time: 2.2883 data_time: 0.0928 memory: 63381 loss_text: 0.2380 loss_kernel: 0.1233 loss_embedding: 0.0140 loss: 0.3754 2022/08/26 17:08:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:08:52 - mmengine - INFO - Epoch(train) [202][5/16] lr: 6.9217e-04 eta: 3:04:31 time: 2.6479 data_time: 0.4839 memory: 63381 loss_text: 0.2434 loss_kernel: 0.1228 loss_embedding: 0.0149 loss: 0.3811 2022/08/26 17:09:03 - mmengine - INFO - Epoch(train) [202][10/16] lr: 6.9217e-04 eta: 3:04:02 time: 2.7259 data_time: 0.5199 memory: 63381 loss_text: 0.2437 loss_kernel: 0.1278 loss_embedding: 0.0142 loss: 0.3857 2022/08/26 17:09:15 - mmengine - INFO - Epoch(train) [202][15/16] lr: 6.9217e-04 eta: 3:04:02 time: 2.2749 data_time: 0.0796 memory: 63381 loss_text: 0.2218 loss_kernel: 0.1178 loss_embedding: 0.0150 loss: 0.3546 2022/08/26 17:09:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:09:32 - mmengine - INFO - Epoch(train) [203][5/16] lr: 6.9060e-04 eta: 3:04:02 time: 2.6480 data_time: 0.4893 memory: 63381 loss_text: 0.2207 loss_kernel: 0.1134 loss_embedding: 0.0143 loss: 0.3485 2022/08/26 17:09:43 - mmengine - INFO - Epoch(train) [203][10/16] lr: 6.9060e-04 eta: 3:03:33 time: 2.6806 data_time: 0.5181 memory: 63381 loss_text: 0.2347 loss_kernel: 0.1238 loss_embedding: 0.0131 loss: 0.3717 2022/08/26 17:09:55 - mmengine - INFO - Epoch(train) [203][15/16] lr: 6.9060e-04 eta: 3:03:33 time: 2.2795 data_time: 0.0809 memory: 63381 loss_text: 0.2297 loss_kernel: 0.1187 loss_embedding: 0.0134 loss: 0.3617 2022/08/26 17:09:56 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:10:12 - mmengine - INFO - Epoch(train) [204][5/16] lr: 6.8904e-04 eta: 3:03:33 time: 2.6805 data_time: 0.4839 memory: 63381 loss_text: 0.2256 loss_kernel: 0.1164 loss_embedding: 0.0140 loss: 0.3559 2022/08/26 17:10:23 - mmengine - INFO - Epoch(train) [204][10/16] lr: 6.8904e-04 eta: 3:03:04 time: 2.7126 data_time: 0.5191 memory: 63381 loss_text: 0.2274 loss_kernel: 0.1199 loss_embedding: 0.0138 loss: 0.3610 2022/08/26 17:10:35 - mmengine - INFO - Epoch(train) [204][15/16] lr: 6.8904e-04 eta: 3:03:04 time: 2.2411 data_time: 0.0793 memory: 63381 loss_text: 0.2321 loss_kernel: 0.1216 loss_embedding: 0.0147 loss: 0.3684 2022/08/26 17:10:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:10:52 - mmengine - INFO - Epoch(train) [205][5/16] lr: 6.8747e-04 eta: 3:03:04 time: 2.6263 data_time: 0.4523 memory: 63381 loss_text: 0.2263 loss_kernel: 0.1193 loss_embedding: 0.0158 loss: 0.3614 2022/08/26 17:11:04 - mmengine - INFO - Epoch(train) [205][10/16] lr: 6.8747e-04 eta: 3:02:36 time: 2.7611 data_time: 0.5341 memory: 63381 loss_text: 0.2387 loss_kernel: 0.1226 loss_embedding: 0.0138 loss: 0.3751 2022/08/26 17:11:16 - mmengine - INFO - Epoch(train) [205][15/16] lr: 6.8747e-04 eta: 3:02:36 time: 2.3846 data_time: 0.1370 memory: 63381 loss_text: 0.2377 loss_kernel: 0.1216 loss_embedding: 0.0147 loss: 0.3741 2022/08/26 17:11:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:11:33 - mmengine - INFO - Epoch(train) [206][5/16] lr: 6.8590e-04 eta: 3:02:36 time: 2.6598 data_time: 0.4768 memory: 63381 loss_text: 0.2397 loss_kernel: 0.1215 loss_embedding: 0.0174 loss: 0.3787 2022/08/26 17:11:45 - mmengine - INFO - Epoch(train) [206][10/16] lr: 6.8590e-04 eta: 3:02:08 time: 2.7713 data_time: 0.5250 memory: 63381 loss_text: 0.2282 loss_kernel: 0.1155 loss_embedding: 0.0155 loss: 0.3593 2022/08/26 17:11:56 - mmengine - INFO - Epoch(train) [206][15/16] lr: 6.8590e-04 eta: 3:02:08 time: 2.3440 data_time: 0.1074 memory: 63381 loss_text: 0.2143 loss_kernel: 0.1086 loss_embedding: 0.0151 loss: 0.3380 2022/08/26 17:11:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:12:13 - mmengine - INFO - Epoch(train) [207][5/16] lr: 6.8434e-04 eta: 3:02:08 time: 2.5869 data_time: 0.4616 memory: 63381 loss_text: 0.2143 loss_kernel: 0.1094 loss_embedding: 0.0148 loss: 0.3386 2022/08/26 17:12:25 - mmengine - INFO - Epoch(train) [207][10/16] lr: 6.8434e-04 eta: 3:01:40 time: 2.7297 data_time: 0.5169 memory: 63381 loss_text: 0.2180 loss_kernel: 0.1122 loss_embedding: 0.0147 loss: 0.3449 2022/08/26 17:12:37 - mmengine - INFO - Epoch(train) [207][15/16] lr: 6.8434e-04 eta: 3:01:40 time: 2.3797 data_time: 0.1118 memory: 63381 loss_text: 0.2159 loss_kernel: 0.1140 loss_embedding: 0.0150 loss: 0.3448 2022/08/26 17:12:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:12:54 - mmengine - INFO - Epoch(train) [208][5/16] lr: 6.8277e-04 eta: 3:01:40 time: 2.6481 data_time: 0.4563 memory: 63381 loss_text: 0.2345 loss_kernel: 0.1213 loss_embedding: 0.0159 loss: 0.3716 2022/08/26 17:13:06 - mmengine - INFO - Epoch(train) [208][10/16] lr: 6.8277e-04 eta: 3:01:11 time: 2.7337 data_time: 0.5481 memory: 63381 loss_text: 0.2483 loss_kernel: 0.1280 loss_embedding: 0.0144 loss: 0.3907 2022/08/26 17:13:17 - mmengine - INFO - Epoch(train) [208][15/16] lr: 6.8277e-04 eta: 3:01:11 time: 2.3386 data_time: 0.1556 memory: 63381 loss_text: 0.2413 loss_kernel: 0.1264 loss_embedding: 0.0140 loss: 0.3817 2022/08/26 17:13:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:13:34 - mmengine - INFO - Epoch(train) [209][5/16] lr: 6.8120e-04 eta: 3:01:11 time: 2.6307 data_time: 0.4714 memory: 63381 loss_text: 0.2181 loss_kernel: 0.1144 loss_embedding: 0.0157 loss: 0.3483 2022/08/26 17:13:46 - mmengine - INFO - Epoch(train) [209][10/16] lr: 6.8120e-04 eta: 3:00:43 time: 2.7359 data_time: 0.5171 memory: 63381 loss_text: 0.2193 loss_kernel: 0.1130 loss_embedding: 0.0171 loss: 0.3494 2022/08/26 17:13:57 - mmengine - INFO - Epoch(train) [209][15/16] lr: 6.8120e-04 eta: 3:00:43 time: 2.2750 data_time: 0.1176 memory: 63381 loss_text: 0.2296 loss_kernel: 0.1181 loss_embedding: 0.0153 loss: 0.3630 2022/08/26 17:13:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:14:15 - mmengine - INFO - Epoch(train) [210][5/16] lr: 6.7963e-04 eta: 3:00:43 time: 2.6332 data_time: 0.4880 memory: 63381 loss_text: 0.2075 loss_kernel: 0.1108 loss_embedding: 0.0128 loss: 0.3310 2022/08/26 17:14:26 - mmengine - INFO - Epoch(train) [210][10/16] lr: 6.7963e-04 eta: 3:00:15 time: 2.7730 data_time: 0.5228 memory: 63381 loss_text: 0.2156 loss_kernel: 0.1141 loss_embedding: 0.0142 loss: 0.3439 2022/08/26 17:14:39 - mmengine - INFO - Epoch(train) [210][15/16] lr: 6.7963e-04 eta: 3:00:15 time: 2.4121 data_time: 0.1010 memory: 63381 loss_text: 0.2322 loss_kernel: 0.1219 loss_embedding: 0.0142 loss: 0.3684 2022/08/26 17:14:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:14:56 - mmengine - INFO - Epoch(train) [211][5/16] lr: 6.7806e-04 eta: 3:00:15 time: 2.6891 data_time: 0.5159 memory: 63381 loss_text: 0.2328 loss_kernel: 0.1226 loss_embedding: 0.0127 loss: 0.3681 2022/08/26 17:15:07 - mmengine - INFO - Epoch(train) [211][10/16] lr: 6.7806e-04 eta: 2:59:47 time: 2.7056 data_time: 0.5437 memory: 63381 loss_text: 0.2329 loss_kernel: 0.1200 loss_embedding: 0.0129 loss: 0.3659 2022/08/26 17:15:19 - mmengine - INFO - Epoch(train) [211][15/16] lr: 6.7806e-04 eta: 2:59:47 time: 2.3398 data_time: 0.0962 memory: 63381 loss_text: 0.2372 loss_kernel: 0.1243 loss_embedding: 0.0135 loss: 0.3751 2022/08/26 17:15:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:15:36 - mmengine - INFO - Epoch(train) [212][5/16] lr: 6.7649e-04 eta: 2:59:47 time: 2.6676 data_time: 0.4865 memory: 63381 loss_text: 0.2319 loss_kernel: 0.1228 loss_embedding: 0.0139 loss: 0.3687 2022/08/26 17:15:48 - mmengine - INFO - Epoch(train) [212][10/16] lr: 6.7649e-04 eta: 2:59:18 time: 2.7226 data_time: 0.5241 memory: 63381 loss_text: 0.2308 loss_kernel: 0.1199 loss_embedding: 0.0147 loss: 0.3653 2022/08/26 17:15:59 - mmengine - INFO - Epoch(train) [212][15/16] lr: 6.7649e-04 eta: 2:59:18 time: 2.2430 data_time: 0.0882 memory: 63381 loss_text: 0.2180 loss_kernel: 0.1130 loss_embedding: 0.0141 loss: 0.3451 2022/08/26 17:16:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:16:17 - mmengine - INFO - Epoch(train) [213][5/16] lr: 6.7493e-04 eta: 2:59:18 time: 2.6464 data_time: 0.5218 memory: 63381 loss_text: 0.2217 loss_kernel: 0.1128 loss_embedding: 0.0135 loss: 0.3479 2022/08/26 17:16:28 - mmengine - INFO - Epoch(train) [213][10/16] lr: 6.7493e-04 eta: 2:58:50 time: 2.7570 data_time: 0.5645 memory: 63381 loss_text: 0.2208 loss_kernel: 0.1134 loss_embedding: 0.0133 loss: 0.3475 2022/08/26 17:16:39 - mmengine - INFO - Epoch(train) [213][15/16] lr: 6.7493e-04 eta: 2:58:50 time: 2.2321 data_time: 0.0837 memory: 63381 loss_text: 0.2235 loss_kernel: 0.1157 loss_embedding: 0.0128 loss: 0.3521 2022/08/26 17:16:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:16:57 - mmengine - INFO - Epoch(train) [214][5/16] lr: 6.7336e-04 eta: 2:58:50 time: 2.6247 data_time: 0.5369 memory: 63381 loss_text: 0.2407 loss_kernel: 0.1248 loss_embedding: 0.0120 loss: 0.3775 2022/08/26 17:17:09 - mmengine - INFO - Epoch(train) [214][10/16] lr: 6.7336e-04 eta: 2:58:22 time: 2.7508 data_time: 0.5675 memory: 63381 loss_text: 0.2210 loss_kernel: 0.1145 loss_embedding: 0.0148 loss: 0.3503 2022/08/26 17:17:20 - mmengine - INFO - Epoch(train) [214][15/16] lr: 6.7336e-04 eta: 2:58:22 time: 2.2796 data_time: 0.0747 memory: 63381 loss_text: 0.2174 loss_kernel: 0.1146 loss_embedding: 0.0165 loss: 0.3484 2022/08/26 17:17:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:17:38 - mmengine - INFO - Epoch(train) [215][5/16] lr: 6.7179e-04 eta: 2:58:22 time: 2.6826 data_time: 0.4929 memory: 63381 loss_text: 0.2305 loss_kernel: 0.1197 loss_embedding: 0.0150 loss: 0.3652 2022/08/26 17:17:50 - mmengine - INFO - Epoch(train) [215][10/16] lr: 6.7179e-04 eta: 2:57:55 time: 2.8019 data_time: 0.5384 memory: 63381 loss_text: 0.2267 loss_kernel: 0.1168 loss_embedding: 0.0146 loss: 0.3580 2022/08/26 17:18:02 - mmengine - INFO - Epoch(train) [215][15/16] lr: 6.7179e-04 eta: 2:57:55 time: 2.3893 data_time: 0.1285 memory: 63381 loss_text: 0.2181 loss_kernel: 0.1130 loss_embedding: 0.0167 loss: 0.3479 2022/08/26 17:18:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:18:19 - mmengine - INFO - Epoch(train) [216][5/16] lr: 6.7021e-04 eta: 2:57:55 time: 2.6301 data_time: 0.4769 memory: 63381 loss_text: 0.2207 loss_kernel: 0.1154 loss_embedding: 0.0156 loss: 0.3517 2022/08/26 17:18:31 - mmengine - INFO - Epoch(train) [216][10/16] lr: 6.7021e-04 eta: 2:57:27 time: 2.7395 data_time: 0.5369 memory: 63381 loss_text: 0.2276 loss_kernel: 0.1198 loss_embedding: 0.0135 loss: 0.3609 2022/08/26 17:18:43 - mmengine - INFO - Epoch(train) [216][15/16] lr: 6.7021e-04 eta: 2:57:27 time: 2.3701 data_time: 0.1171 memory: 63381 loss_text: 0.2253 loss_kernel: 0.1158 loss_embedding: 0.0140 loss: 0.3551 2022/08/26 17:18:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:19:00 - mmengine - INFO - Epoch(train) [217][5/16] lr: 6.6864e-04 eta: 2:57:27 time: 2.6717 data_time: 0.5093 memory: 63381 loss_text: 0.1974 loss_kernel: 0.1049 loss_embedding: 0.0149 loss: 0.3171 2022/08/26 17:19:12 - mmengine - INFO - Epoch(train) [217][10/16] lr: 6.6864e-04 eta: 2:56:58 time: 2.7254 data_time: 0.5206 memory: 63381 loss_text: 0.2169 loss_kernel: 0.1112 loss_embedding: 0.0147 loss: 0.3427 2022/08/26 17:19:23 - mmengine - INFO - Epoch(train) [217][15/16] lr: 6.6864e-04 eta: 2:56:58 time: 2.3268 data_time: 0.0842 memory: 63381 loss_text: 0.2310 loss_kernel: 0.1164 loss_embedding: 0.0159 loss: 0.3633 2022/08/26 17:19:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:19:40 - mmengine - INFO - Epoch(train) [218][5/16] lr: 6.6707e-04 eta: 2:56:58 time: 2.6056 data_time: 0.4984 memory: 63381 loss_text: 0.2288 loss_kernel: 0.1214 loss_embedding: 0.0134 loss: 0.3636 2022/08/26 17:19:53 - mmengine - INFO - Epoch(train) [218][10/16] lr: 6.6707e-04 eta: 2:56:31 time: 2.7855 data_time: 0.5608 memory: 63381 loss_text: 0.2309 loss_kernel: 0.1239 loss_embedding: 0.0134 loss: 0.3682 2022/08/26 17:20:04 - mmengine - INFO - Epoch(train) [218][15/16] lr: 6.6707e-04 eta: 2:56:31 time: 2.4159 data_time: 0.1102 memory: 63381 loss_text: 0.2049 loss_kernel: 0.1104 loss_embedding: 0.0145 loss: 0.3298 2022/08/26 17:20:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:20:21 - mmengine - INFO - Epoch(train) [219][5/16] lr: 6.6550e-04 eta: 2:56:31 time: 2.5969 data_time: 0.4665 memory: 63381 loss_text: 0.2186 loss_kernel: 0.1132 loss_embedding: 0.0136 loss: 0.3454 2022/08/26 17:20:33 - mmengine - INFO - Epoch(train) [219][10/16] lr: 6.6550e-04 eta: 2:56:02 time: 2.6961 data_time: 0.5080 memory: 63381 loss_text: 0.2331 loss_kernel: 0.1200 loss_embedding: 0.0134 loss: 0.3665 2022/08/26 17:20:44 - mmengine - INFO - Epoch(train) [219][15/16] lr: 6.6550e-04 eta: 2:56:02 time: 2.3407 data_time: 0.0897 memory: 63381 loss_text: 0.2347 loss_kernel: 0.1219 loss_embedding: 0.0123 loss: 0.3689 2022/08/26 17:20:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:21:01 - mmengine - INFO - Epoch(train) [220][5/16] lr: 6.6393e-04 eta: 2:56:02 time: 2.5858 data_time: 0.4597 memory: 63381 loss_text: 0.2108 loss_kernel: 0.1129 loss_embedding: 0.0154 loss: 0.3390 2022/08/26 17:21:13 - mmengine - INFO - Epoch(train) [220][10/16] lr: 6.6393e-04 eta: 2:55:33 time: 2.6900 data_time: 0.5136 memory: 63381 loss_text: 0.2110 loss_kernel: 0.1132 loss_embedding: 0.0148 loss: 0.3390 2022/08/26 17:21:24 - mmengine - INFO - Epoch(train) [220][15/16] lr: 6.6393e-04 eta: 2:55:33 time: 2.2846 data_time: 0.0964 memory: 63381 loss_text: 0.2158 loss_kernel: 0.1133 loss_embedding: 0.0138 loss: 0.3429 2022/08/26 17:21:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:21:25 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [220][5/500] eta: 2:55:33 time: 0.0533 data_time: 0.0114 memory: 39748 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [220][10/500] eta: 0:00:27 time: 0.0557 data_time: 0.0116 memory: 661 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [220][15/500] eta: 0:00:27 time: 0.0242 data_time: 0.0023 memory: 661 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [220][20/500] eta: 0:00:11 time: 0.0231 data_time: 0.0019 memory: 661 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [220][25/500] eta: 0:00:11 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [220][30/500] eta: 0:00:11 time: 0.0239 data_time: 0.0020 memory: 661 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [220][35/500] eta: 0:00:11 time: 0.0248 data_time: 0.0020 memory: 661 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [220][40/500] eta: 0:00:12 time: 0.0269 data_time: 0.0020 memory: 661 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [220][45/500] eta: 0:00:12 time: 0.0278 data_time: 0.0020 memory: 661 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [220][50/500] eta: 0:00:10 time: 0.0234 data_time: 0.0021 memory: 661 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [220][55/500] eta: 0:00:10 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [220][60/500] eta: 0:00:09 time: 0.0213 data_time: 0.0021 memory: 661 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [220][65/500] eta: 0:00:09 time: 0.0230 data_time: 0.0021 memory: 661 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [220][70/500] eta: 0:00:10 time: 0.0252 data_time: 0.0022 memory: 661 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [220][75/500] eta: 0:00:10 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [220][80/500] eta: 0:00:08 time: 0.0207 data_time: 0.0022 memory: 661 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [220][85/500] eta: 0:00:08 time: 0.0198 data_time: 0.0022 memory: 661 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [220][90/500] eta: 0:00:09 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [220][95/500] eta: 0:00:09 time: 0.0245 data_time: 0.0022 memory: 661 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [220][100/500] eta: 0:00:08 time: 0.0214 data_time: 0.0021 memory: 661 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [220][105/500] eta: 0:00:08 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [220][110/500] eta: 0:00:08 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [220][115/500] eta: 0:00:08 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [220][120/500] eta: 0:00:08 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [220][125/500] eta: 0:00:08 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [220][130/500] eta: 0:00:07 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [220][135/500] eta: 0:00:07 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [220][140/500] eta: 0:00:07 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [220][145/500] eta: 0:00:07 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [220][150/500] eta: 0:00:08 time: 0.0231 data_time: 0.0021 memory: 661 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [220][155/500] eta: 0:00:08 time: 0.0260 data_time: 0.0021 memory: 661 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [220][160/500] eta: 0:00:08 time: 0.0255 data_time: 0.0021 memory: 661 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [220][165/500] eta: 0:00:08 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [220][170/500] eta: 0:00:08 time: 0.0245 data_time: 0.0022 memory: 661 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [220][175/500] eta: 0:00:08 time: 0.0217 data_time: 0.0022 memory: 661 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [220][180/500] eta: 0:00:06 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [220][185/500] eta: 0:00:06 time: 0.0274 data_time: 0.0021 memory: 661 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [220][190/500] eta: 0:00:08 time: 0.0281 data_time: 0.0023 memory: 661 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [220][195/500] eta: 0:00:08 time: 0.0236 data_time: 0.0024 memory: 661 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [220][200/500] eta: 0:00:08 time: 0.0281 data_time: 0.0023 memory: 661 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [220][205/500] eta: 0:00:08 time: 0.0276 data_time: 0.0022 memory: 661 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [220][210/500] eta: 0:00:06 time: 0.0220 data_time: 0.0023 memory: 661 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [220][215/500] eta: 0:00:06 time: 0.0227 data_time: 0.0022 memory: 661 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [220][220/500] eta: 0:00:06 time: 0.0238 data_time: 0.0021 memory: 661 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [220][225/500] eta: 0:00:06 time: 0.0243 data_time: 0.0022 memory: 661 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [220][230/500] eta: 0:00:06 time: 0.0229 data_time: 0.0024 memory: 661 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [220][235/500] eta: 0:00:06 time: 0.0235 data_time: 0.0024 memory: 661 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [220][240/500] eta: 0:00:06 time: 0.0250 data_time: 0.0023 memory: 661 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [220][245/500] eta: 0:00:06 time: 0.0230 data_time: 0.0023 memory: 661 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [220][250/500] eta: 0:00:05 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [220][255/500] eta: 0:00:05 time: 0.0233 data_time: 0.0021 memory: 661 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [220][260/500] eta: 0:00:05 time: 0.0228 data_time: 0.0022 memory: 661 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [220][265/500] eta: 0:00:05 time: 0.0231 data_time: 0.0024 memory: 661 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [220][270/500] eta: 0:00:05 time: 0.0225 data_time: 0.0026 memory: 661 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) 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0:00:04 time: 0.0242 data_time: 0.0020 memory: 661 2022/08/26 17:21:36 - mmengine - INFO - Epoch(val) [220][320/500] eta: 0:00:04 time: 0.0235 data_time: 0.0020 memory: 661 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [220][325/500] eta: 0:00:04 time: 0.0320 data_time: 0.0021 memory: 661 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [220][330/500] eta: 0:00:05 time: 0.0320 data_time: 0.0022 memory: 661 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [220][335/500] eta: 0:00:05 time: 0.0212 data_time: 0.0022 memory: 661 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [220][340/500] eta: 0:00:04 time: 0.0251 data_time: 0.0021 memory: 661 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [220][345/500] eta: 0:00:04 time: 0.0256 data_time: 0.0021 memory: 661 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [220][350/500] eta: 0:00:03 time: 0.0259 data_time: 0.0020 memory: 661 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [220][355/500] eta: 0:00:03 time: 0.0252 data_time: 0.0021 memory: 661 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [220][360/500] eta: 0:00:02 time: 0.0213 data_time: 0.0021 memory: 661 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [220][365/500] eta: 0:00:02 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [220][370/500] eta: 0:00:02 time: 0.0204 data_time: 0.0021 memory: 661 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [220][375/500] eta: 0:00:02 time: 0.0203 data_time: 0.0022 memory: 661 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [220][380/500] eta: 0:00:02 time: 0.0234 data_time: 0.0021 memory: 661 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [220][385/500] eta: 0:00:02 time: 0.0238 data_time: 0.0021 memory: 661 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [220][390/500] eta: 0:00:02 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [220][395/500] eta: 0:00:02 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [220][400/500] eta: 0:00:02 time: 0.0210 data_time: 0.0019 memory: 661 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [220][405/500] eta: 0:00:02 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [220][410/500] eta: 0:00:02 time: 0.0227 data_time: 0.0020 memory: 661 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [220][415/500] eta: 0:00:02 time: 0.0227 data_time: 0.0020 memory: 661 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [220][420/500] eta: 0:00:01 time: 0.0233 data_time: 0.0047 memory: 661 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [220][425/500] eta: 0:00:01 time: 0.0331 data_time: 0.0139 memory: 661 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [220][430/500] eta: 0:00:02 time: 0.0316 data_time: 0.0112 memory: 661 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [220][435/500] eta: 0:00:02 time: 0.0213 data_time: 0.0019 memory: 661 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [220][440/500] eta: 0:00:01 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [220][445/500] eta: 0:00:01 time: 0.0245 data_time: 0.0023 memory: 661 2022/08/26 17:21:40 - mmengine - INFO - Epoch(val) [220][450/500] eta: 0:00:01 time: 0.0249 data_time: 0.0028 memory: 661 2022/08/26 17:21:40 - mmengine - INFO - Epoch(val) [220][455/500] eta: 0:00:01 time: 0.0246 data_time: 0.0026 memory: 661 2022/08/26 17:21:40 - mmengine - INFO - Epoch(val) [220][460/500] eta: 0:00:00 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 17:21:40 - mmengine - INFO - Epoch(val) [220][465/500] eta: 0:00:00 time: 0.0200 data_time: 0.0019 memory: 661 2022/08/26 17:21:40 - mmengine - INFO - Epoch(val) [220][470/500] eta: 0:00:00 time: 0.0205 data_time: 0.0019 memory: 661 2022/08/26 17:21:40 - mmengine - INFO - Epoch(val) [220][475/500] eta: 0:00:00 time: 0.0200 data_time: 0.0019 memory: 661 2022/08/26 17:21:40 - mmengine - INFO - Epoch(val) [220][480/500] eta: 0:00:00 time: 0.0209 data_time: 0.0019 memory: 661 2022/08/26 17:21:41 - mmengine - INFO - Epoch(val) [220][485/500] eta: 0:00:00 time: 0.1040 data_time: 0.0152 memory: 661 2022/08/26 17:21:41 - mmengine - INFO - Epoch(val) [220][490/500] eta: 0:00:01 time: 0.1064 data_time: 0.0165 memory: 661 2022/08/26 17:21:41 - mmengine - INFO - Epoch(val) [220][495/500] eta: 0:00:01 time: 0.0266 data_time: 0.0034 memory: 661 2022/08/26 17:21:41 - mmengine - INFO - Epoch(val) [220][500/500] eta: 0:00:00 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 17:21:42 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7381, precision: 0.7297, hmean: 0.7338 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7381, precision: 0.7297, hmean: 0.7338 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7381, precision: 0.7297, hmean: 0.7338 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7381, precision: 0.7297, hmean: 0.7338 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7381, precision: 0.7297, hmean: 0.7338 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7381, precision: 0.7303, hmean: 0.7342 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7381, precision: 0.7367, hmean: 0.7374 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7381, precision: 0.7463, hmean: 0.7422 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7366, precision: 0.7661, hmean: 0.7511 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7352, precision: 0.7859, hmean: 0.7597 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7299, precision: 0.8038, hmean: 0.7651 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7135, precision: 0.8316, hmean: 0.7681 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6697, precision: 0.8677, hmean: 0.7560 2022/08/26 17:21:42 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.2499, precision: 0.9170, hmean: 0.3927 2022/08/26 17:21:42 - mmengine - INFO - Epoch(val) [220][500/500] icdar/precision: 0.8316 icdar/recall: 0.7135 icdar/hmean: 0.7681 2022/08/26 17:21:57 - mmengine - INFO - Epoch(train) [221][5/16] lr: 6.6236e-04 eta: 0:00:00 time: 2.5721 data_time: 0.4825 memory: 63381 loss_text: 0.2220 loss_kernel: 0.1169 loss_embedding: 0.0144 loss: 0.3533 2022/08/26 17:22:09 - mmengine - INFO - Epoch(train) [221][10/16] lr: 6.6236e-04 eta: 2:55:05 time: 2.7517 data_time: 0.5018 memory: 63381 loss_text: 0.2001 loss_kernel: 0.1067 loss_embedding: 0.0140 loss: 0.3208 2022/08/26 17:22:20 - mmengine - INFO - Epoch(train) [221][15/16] lr: 6.6236e-04 eta: 2:55:05 time: 2.3126 data_time: 0.0749 memory: 63381 loss_text: 0.2126 loss_kernel: 0.1131 loss_embedding: 0.0137 loss: 0.3394 2022/08/26 17:22:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:22:38 - mmengine - INFO - Epoch(train) [222][5/16] lr: 6.6078e-04 eta: 2:55:05 time: 2.6428 data_time: 0.4689 memory: 63381 loss_text: 0.2158 loss_kernel: 0.1123 loss_embedding: 0.0139 loss: 0.3419 2022/08/26 17:22:50 - mmengine - INFO - Epoch(train) [222][10/16] lr: 6.6078e-04 eta: 2:54:37 time: 2.7543 data_time: 0.5089 memory: 63381 loss_text: 0.2062 loss_kernel: 0.1060 loss_embedding: 0.0144 loss: 0.3266 2022/08/26 17:23:01 - mmengine - INFO - Epoch(train) [222][15/16] lr: 6.6078e-04 eta: 2:54:37 time: 2.3105 data_time: 0.0868 memory: 63381 loss_text: 0.2283 loss_kernel: 0.1165 loss_embedding: 0.0133 loss: 0.3581 2022/08/26 17:23:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:23:18 - mmengine - INFO - Epoch(train) [223][5/16] lr: 6.5921e-04 eta: 2:54:37 time: 2.6048 data_time: 0.4913 memory: 63381 loss_text: 0.2231 loss_kernel: 0.1127 loss_embedding: 0.0123 loss: 0.3481 2022/08/26 17:23:30 - mmengine - INFO - Epoch(train) [223][10/16] lr: 6.5921e-04 eta: 2:54:08 time: 2.7097 data_time: 0.5249 memory: 63381 loss_text: 0.2197 loss_kernel: 0.1148 loss_embedding: 0.0133 loss: 0.3478 2022/08/26 17:23:41 - mmengine - INFO - Epoch(train) [223][15/16] lr: 6.5921e-04 eta: 2:54:08 time: 2.2776 data_time: 0.1036 memory: 63381 loss_text: 0.2446 loss_kernel: 0.1266 loss_embedding: 0.0138 loss: 0.3850 2022/08/26 17:23:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:23:59 - mmengine - INFO - Epoch(train) [224][5/16] lr: 6.5764e-04 eta: 2:54:08 time: 2.6857 data_time: 0.5447 memory: 63381 loss_text: 0.2306 loss_kernel: 0.1175 loss_embedding: 0.0152 loss: 0.3633 2022/08/26 17:24:12 - mmengine - INFO - Epoch(train) [224][10/16] lr: 6.5764e-04 eta: 2:53:42 time: 2.8624 data_time: 0.5782 memory: 63381 loss_text: 0.2241 loss_kernel: 0.1171 loss_embedding: 0.0145 loss: 0.3557 2022/08/26 17:24:23 - mmengine - INFO - Epoch(train) [224][15/16] lr: 6.5764e-04 eta: 2:53:42 time: 2.3737 data_time: 0.0942 memory: 63381 loss_text: 0.2186 loss_kernel: 0.1125 loss_embedding: 0.0139 loss: 0.3450 2022/08/26 17:24:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:24:40 - mmengine - INFO - Epoch(train) [225][5/16] lr: 6.5606e-04 eta: 2:53:42 time: 2.6187 data_time: 0.4771 memory: 63381 loss_text: 0.2019 loss_kernel: 0.1039 loss_embedding: 0.0136 loss: 0.3193 2022/08/26 17:24:52 - mmengine - INFO - Epoch(train) [225][10/16] lr: 6.5606e-04 eta: 2:53:13 time: 2.7249 data_time: 0.5164 memory: 63381 loss_text: 0.2133 loss_kernel: 0.1127 loss_embedding: 0.0137 loss: 0.3397 2022/08/26 17:25:03 - mmengine - INFO - Epoch(train) [225][15/16] lr: 6.5606e-04 eta: 2:53:13 time: 2.2905 data_time: 0.0865 memory: 63381 loss_text: 0.2333 loss_kernel: 0.1234 loss_embedding: 0.0128 loss: 0.3694 2022/08/26 17:25:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:25:20 - mmengine - INFO - Epoch(train) [226][5/16] lr: 6.5449e-04 eta: 2:53:13 time: 2.5580 data_time: 0.4691 memory: 63381 loss_text: 0.2236 loss_kernel: 0.1199 loss_embedding: 0.0123 loss: 0.3558 2022/08/26 17:25:32 - mmengine - INFO - Epoch(train) [226][10/16] lr: 6.5449e-04 eta: 2:52:46 time: 2.7918 data_time: 0.5614 memory: 63381 loss_text: 0.2041 loss_kernel: 0.1081 loss_embedding: 0.0133 loss: 0.3255 2022/08/26 17:25:44 - mmengine - INFO - Epoch(train) [226][15/16] lr: 6.5449e-04 eta: 2:52:46 time: 2.4157 data_time: 0.1343 memory: 63381 loss_text: 0.2265 loss_kernel: 0.1166 loss_embedding: 0.0136 loss: 0.3567 2022/08/26 17:25:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:26:00 - mmengine - INFO - Epoch(train) [227][5/16] lr: 6.5291e-04 eta: 2:52:46 time: 2.5817 data_time: 0.4881 memory: 63381 loss_text: 0.2447 loss_kernel: 0.1272 loss_embedding: 0.0139 loss: 0.3859 2022/08/26 17:26:13 - mmengine - INFO - Epoch(train) [227][10/16] lr: 6.5291e-04 eta: 2:52:18 time: 2.7190 data_time: 0.5107 memory: 63381 loss_text: 0.2193 loss_kernel: 0.1168 loss_embedding: 0.0130 loss: 0.3491 2022/08/26 17:26:24 - mmengine - INFO - Epoch(train) [227][15/16] lr: 6.5291e-04 eta: 2:52:18 time: 2.3581 data_time: 0.0747 memory: 63381 loss_text: 0.2275 loss_kernel: 0.1223 loss_embedding: 0.0121 loss: 0.3619 2022/08/26 17:26:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:26:41 - mmengine - INFO - Epoch(train) [228][5/16] lr: 6.5134e-04 eta: 2:52:18 time: 2.6521 data_time: 0.4915 memory: 63381 loss_text: 0.2345 loss_kernel: 0.1241 loss_embedding: 0.0135 loss: 0.3721 2022/08/26 17:26:53 - mmengine - INFO - Epoch(train) [228][10/16] lr: 6.5134e-04 eta: 2:51:50 time: 2.7846 data_time: 0.5309 memory: 63381 loss_text: 0.2309 loss_kernel: 0.1211 loss_embedding: 0.0146 loss: 0.3666 2022/08/26 17:27:05 - mmengine - INFO - Epoch(train) [228][15/16] lr: 6.5134e-04 eta: 2:51:50 time: 2.3938 data_time: 0.0875 memory: 63381 loss_text: 0.2229 loss_kernel: 0.1167 loss_embedding: 0.0137 loss: 0.3533 2022/08/26 17:27:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:27:23 - mmengine - INFO - Epoch(train) [229][5/16] lr: 6.4976e-04 eta: 2:51:50 time: 2.7348 data_time: 0.4887 memory: 63381 loss_text: 0.2117 loss_kernel: 0.1114 loss_embedding: 0.0130 loss: 0.3360 2022/08/26 17:27:34 - mmengine - INFO - Epoch(train) [229][10/16] lr: 6.4976e-04 eta: 2:51:22 time: 2.7106 data_time: 0.5139 memory: 63381 loss_text: 0.2203 loss_kernel: 0.1163 loss_embedding: 0.0133 loss: 0.3499 2022/08/26 17:27:46 - mmengine - INFO - Epoch(train) [229][15/16] lr: 6.4976e-04 eta: 2:51:22 time: 2.2558 data_time: 0.0845 memory: 63381 loss_text: 0.2322 loss_kernel: 0.1202 loss_embedding: 0.0134 loss: 0.3658 2022/08/26 17:27:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:28:03 - mmengine - INFO - Epoch(train) [230][5/16] lr: 6.4818e-04 eta: 2:51:22 time: 2.6131 data_time: 0.4698 memory: 63381 loss_text: 0.2243 loss_kernel: 0.1135 loss_embedding: 0.0133 loss: 0.3510 2022/08/26 17:28:14 - mmengine - INFO - Epoch(train) [230][10/16] lr: 6.4818e-04 eta: 2:50:52 time: 2.6521 data_time: 0.5015 memory: 63381 loss_text: 0.2299 loss_kernel: 0.1198 loss_embedding: 0.0142 loss: 0.3639 2022/08/26 17:28:26 - mmengine - INFO - Epoch(train) [230][15/16] lr: 6.4818e-04 eta: 2:50:52 time: 2.2899 data_time: 0.0826 memory: 63381 loss_text: 0.2165 loss_kernel: 0.1125 loss_embedding: 0.0156 loss: 0.3446 2022/08/26 17:28:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:28:43 - mmengine - INFO - Epoch(train) [231][5/16] lr: 6.4661e-04 eta: 2:50:52 time: 2.6920 data_time: 0.4661 memory: 63381 loss_text: 0.2146 loss_kernel: 0.1129 loss_embedding: 0.0142 loss: 0.3417 2022/08/26 17:28:54 - mmengine - INFO - Epoch(train) [231][10/16] lr: 6.4661e-04 eta: 2:50:23 time: 2.6901 data_time: 0.5150 memory: 63381 loss_text: 0.2417 loss_kernel: 0.1274 loss_embedding: 0.0128 loss: 0.3819 2022/08/26 17:29:06 - mmengine - INFO - Epoch(train) [231][15/16] lr: 6.4661e-04 eta: 2:50:23 time: 2.3243 data_time: 0.1067 memory: 63381 loss_text: 0.2166 loss_kernel: 0.1150 loss_embedding: 0.0131 loss: 0.3448 2022/08/26 17:29:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:29:24 - mmengine - INFO - Epoch(train) [232][5/16] lr: 6.4503e-04 eta: 2:50:23 time: 2.7090 data_time: 0.4956 memory: 63381 loss_text: 0.2235 loss_kernel: 0.1162 loss_embedding: 0.0135 loss: 0.3532 2022/08/26 17:29:35 - mmengine - INFO - Epoch(train) [232][10/16] lr: 6.4503e-04 eta: 2:49:55 time: 2.7535 data_time: 0.5234 memory: 63381 loss_text: 0.2198 loss_kernel: 0.1170 loss_embedding: 0.0142 loss: 0.3509 2022/08/26 17:29:47 - mmengine - INFO - Epoch(train) [232][15/16] lr: 6.4503e-04 eta: 2:49:55 time: 2.2977 data_time: 0.0869 memory: 63381 loss_text: 0.2274 loss_kernel: 0.1191 loss_embedding: 0.0136 loss: 0.3601 2022/08/26 17:29:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:30:04 - mmengine - INFO - Epoch(train) [233][5/16] lr: 6.4345e-04 eta: 2:49:55 time: 2.6741 data_time: 0.4749 memory: 63381 loss_text: 0.2227 loss_kernel: 0.1169 loss_embedding: 0.0128 loss: 0.3524 2022/08/26 17:30:15 - mmengine - INFO - Epoch(train) [233][10/16] lr: 6.4345e-04 eta: 2:49:27 time: 2.7290 data_time: 0.5164 memory: 63381 loss_text: 0.2146 loss_kernel: 0.1138 loss_embedding: 0.0134 loss: 0.3419 2022/08/26 17:30:28 - mmengine - INFO - Epoch(train) [233][15/16] lr: 6.4345e-04 eta: 2:49:27 time: 2.3518 data_time: 0.0905 memory: 63381 loss_text: 0.2186 loss_kernel: 0.1145 loss_embedding: 0.0131 loss: 0.3462 2022/08/26 17:30:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:30:45 - mmengine - INFO - Epoch(train) [234][5/16] lr: 6.4187e-04 eta: 2:49:27 time: 2.6909 data_time: 0.4795 memory: 63381 loss_text: 0.2198 loss_kernel: 0.1157 loss_embedding: 0.0128 loss: 0.3483 2022/08/26 17:30:57 - mmengine - INFO - Epoch(train) [234][10/16] lr: 6.4187e-04 eta: 2:48:59 time: 2.7760 data_time: 0.5626 memory: 63381 loss_text: 0.2174 loss_kernel: 0.1156 loss_embedding: 0.0124 loss: 0.3454 2022/08/26 17:31:08 - mmengine - INFO - Epoch(train) [234][15/16] lr: 6.4187e-04 eta: 2:48:59 time: 2.3662 data_time: 0.1277 memory: 63381 loss_text: 0.2328 loss_kernel: 0.1223 loss_embedding: 0.0135 loss: 0.3686 2022/08/26 17:31:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:31:25 - mmengine - INFO - Epoch(train) [235][5/16] lr: 6.4029e-04 eta: 2:48:59 time: 2.6471 data_time: 0.4682 memory: 63381 loss_text: 0.2174 loss_kernel: 0.1164 loss_embedding: 0.0115 loss: 0.3453 2022/08/26 17:31:37 - mmengine - INFO - Epoch(train) [235][10/16] lr: 6.4029e-04 eta: 2:48:31 time: 2.7327 data_time: 0.5236 memory: 63381 loss_text: 0.2108 loss_kernel: 0.1135 loss_embedding: 0.0117 loss: 0.3360 2022/08/26 17:31:48 - mmengine - INFO - Epoch(train) [235][15/16] lr: 6.4029e-04 eta: 2:48:31 time: 2.2617 data_time: 0.0907 memory: 63381 loss_text: 0.2241 loss_kernel: 0.1176 loss_embedding: 0.0125 loss: 0.3541 2022/08/26 17:31:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:32:06 - mmengine - INFO - Epoch(train) [236][5/16] lr: 6.3871e-04 eta: 2:48:31 time: 2.6101 data_time: 0.4887 memory: 63381 loss_text: 0.2193 loss_kernel: 0.1144 loss_embedding: 0.0125 loss: 0.3462 2022/08/26 17:32:17 - mmengine - INFO - Epoch(train) [236][10/16] lr: 6.3871e-04 eta: 2:48:02 time: 2.6876 data_time: 0.5254 memory: 63381 loss_text: 0.2213 loss_kernel: 0.1165 loss_embedding: 0.0132 loss: 0.3511 2022/08/26 17:32:28 - mmengine - INFO - Epoch(train) [236][15/16] lr: 6.3871e-04 eta: 2:48:02 time: 2.2617 data_time: 0.1022 memory: 63381 loss_text: 0.2337 loss_kernel: 0.1228 loss_embedding: 0.0133 loss: 0.3698 2022/08/26 17:32:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:32:45 - mmengine - INFO - Epoch(train) [237][5/16] lr: 6.3714e-04 eta: 2:48:02 time: 2.6265 data_time: 0.4811 memory: 63381 loss_text: 0.2118 loss_kernel: 0.1093 loss_embedding: 0.0130 loss: 0.3341 2022/08/26 17:32:57 - mmengine - INFO - Epoch(train) [237][10/16] lr: 6.3714e-04 eta: 2:47:34 time: 2.7606 data_time: 0.5633 memory: 63381 loss_text: 0.2315 loss_kernel: 0.1205 loss_embedding: 0.0122 loss: 0.3643 2022/08/26 17:33:09 - mmengine - INFO - Epoch(train) [237][15/16] lr: 6.3714e-04 eta: 2:47:34 time: 2.3428 data_time: 0.1234 memory: 63381 loss_text: 0.2240 loss_kernel: 0.1211 loss_embedding: 0.0121 loss: 0.3572 2022/08/26 17:33:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:33:26 - mmengine - INFO - Epoch(train) [238][5/16] lr: 6.3556e-04 eta: 2:47:34 time: 2.6516 data_time: 0.4749 memory: 63381 loss_text: 0.2180 loss_kernel: 0.1155 loss_embedding: 0.0125 loss: 0.3459 2022/08/26 17:33:38 - mmengine - INFO - Epoch(train) [238][10/16] lr: 6.3556e-04 eta: 2:47:07 time: 2.7731 data_time: 0.5361 memory: 63381 loss_text: 0.2302 loss_kernel: 0.1226 loss_embedding: 0.0122 loss: 0.3649 2022/08/26 17:33:49 - mmengine - INFO - Epoch(train) [238][15/16] lr: 6.3556e-04 eta: 2:47:07 time: 2.3008 data_time: 0.1133 memory: 63381 loss_text: 0.2242 loss_kernel: 0.1197 loss_embedding: 0.0129 loss: 0.3568 2022/08/26 17:33:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:34:07 - mmengine - INFO - Epoch(train) [239][5/16] lr: 6.3398e-04 eta: 2:47:07 time: 2.6093 data_time: 0.4878 memory: 63381 loss_text: 0.2171 loss_kernel: 0.1133 loss_embedding: 0.0130 loss: 0.3434 2022/08/26 17:34:18 - mmengine - INFO - Epoch(train) [239][10/16] lr: 6.3398e-04 eta: 2:46:39 time: 2.7461 data_time: 0.5330 memory: 63381 loss_text: 0.2329 loss_kernel: 0.1213 loss_embedding: 0.0118 loss: 0.3659 2022/08/26 17:34:29 - mmengine - INFO - Epoch(train) [239][15/16] lr: 6.3398e-04 eta: 2:46:39 time: 2.2739 data_time: 0.0990 memory: 63381 loss_text: 0.2310 loss_kernel: 0.1226 loss_embedding: 0.0119 loss: 0.3656 2022/08/26 17:34:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:34:46 - mmengine - INFO - Epoch(train) [240][5/16] lr: 6.3239e-04 eta: 2:46:39 time: 2.5946 data_time: 0.4846 memory: 63381 loss_text: 0.2208 loss_kernel: 0.1184 loss_embedding: 0.0134 loss: 0.3527 2022/08/26 17:34:58 - mmengine - INFO - Epoch(train) [240][10/16] lr: 6.3239e-04 eta: 2:46:11 time: 2.7463 data_time: 0.5497 memory: 63381 loss_text: 0.2345 loss_kernel: 0.1250 loss_embedding: 0.0125 loss: 0.3720 2022/08/26 17:35:10 - mmengine - INFO - Epoch(train) [240][15/16] lr: 6.3239e-04 eta: 2:46:11 time: 2.3207 data_time: 0.1170 memory: 63381 loss_text: 0.2395 loss_kernel: 0.1262 loss_embedding: 0.0109 loss: 0.3767 2022/08/26 17:35:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:35:11 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/26 17:35:14 - mmengine - INFO - Epoch(val) [240][5/500] eta: 2:46:11 time: 0.0435 data_time: 0.0117 memory: 39748 2022/08/26 17:35:14 - mmengine - INFO - Epoch(val) [240][10/500] eta: 0:00:22 time: 0.0459 data_time: 0.0118 memory: 661 2022/08/26 17:35:14 - mmengine - INFO - Epoch(val) [240][15/500] eta: 0:00:22 time: 0.0246 data_time: 0.0029 memory: 661 2022/08/26 17:35:15 - mmengine - INFO - Epoch(val) [240][20/500] eta: 0:00:11 time: 0.0244 data_time: 0.0029 memory: 661 2022/08/26 17:35:15 - mmengine - INFO - Epoch(val) [240][25/500] eta: 0:00:11 time: 0.0228 data_time: 0.0022 memory: 661 2022/08/26 17:35:15 - mmengine - INFO - Epoch(val) [240][30/500] eta: 0:00:12 time: 0.0274 data_time: 0.0023 memory: 661 2022/08/26 17:35:15 - mmengine - INFO - Epoch(val) [240][35/500] eta: 0:00:12 time: 0.0275 data_time: 0.0023 memory: 661 2022/08/26 17:35:15 - mmengine - INFO - Epoch(val) [240][40/500] eta: 0:00:11 time: 0.0244 data_time: 0.0021 memory: 661 2022/08/26 17:35:15 - mmengine - INFO - Epoch(val) [240][45/500] eta: 0:00:11 time: 0.0251 data_time: 0.0021 memory: 661 2022/08/26 17:35:15 - mmengine - INFO - Epoch(val) [240][50/500] eta: 0:00:10 time: 0.0226 data_time: 0.0022 memory: 661 2022/08/26 17:35:15 - mmengine - INFO - Epoch(val) [240][55/500] eta: 0:00:10 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 17:35:16 - mmengine - INFO - Epoch(val) [240][60/500] eta: 0:00:09 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 17:35:16 - mmengine - INFO - Epoch(val) [240][65/500] eta: 0:00:09 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 17:35:16 - mmengine - INFO - Epoch(val) [240][70/500] eta: 0:00:10 time: 0.0237 data_time: 0.0022 memory: 661 2022/08/26 17:35:16 - mmengine - INFO - Epoch(val) [240][75/500] eta: 0:00:10 time: 0.0220 data_time: 0.0023 memory: 661 2022/08/26 17:35:16 - mmengine - INFO - Epoch(val) [240][80/500] eta: 0:00:08 time: 0.0208 data_time: 0.0024 memory: 661 2022/08/26 17:35:16 - mmengine - INFO - Epoch(val) [240][85/500] eta: 0:00:08 time: 0.0204 data_time: 0.0024 memory: 661 2022/08/26 17:35:16 - mmengine - INFO - Epoch(val) [240][90/500] eta: 0:00:09 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 17:35:16 - mmengine - INFO - Epoch(val) [240][95/500] eta: 0:00:09 time: 0.0246 data_time: 0.0021 memory: 661 2022/08/26 17:35:16 - mmengine - INFO - Epoch(val) [240][100/500] eta: 0:00:08 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 17:35:17 - mmengine - INFO - Epoch(val) [240][105/500] eta: 0:00:08 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 17:35:17 - mmengine - INFO - Epoch(val) [240][110/500] eta: 0:00:08 time: 0.0226 data_time: 0.0022 memory: 661 2022/08/26 17:35:17 - mmengine - INFO - Epoch(val) [240][115/500] eta: 0:00:08 time: 0.0233 data_time: 0.0023 memory: 661 2022/08/26 17:35:17 - mmengine - INFO - Epoch(val) [240][120/500] eta: 0:00:10 time: 0.0264 data_time: 0.0023 memory: 661 2022/08/26 17:35:17 - mmengine - INFO - Epoch(val) [240][125/500] eta: 0:00:10 time: 0.0255 data_time: 0.0022 memory: 661 2022/08/26 17:35:17 - mmengine - INFO - Epoch(val) [240][130/500] eta: 0:00:08 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 17:35:17 - mmengine - INFO - Epoch(val) [240][135/500] eta: 0:00:08 time: 0.0209 data_time: 0.0021 memory: 661 2022/08/26 17:35:17 - mmengine - INFO - Epoch(val) [240][140/500] eta: 0:00:07 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 17:35:17 - mmengine - INFO - Epoch(val) [240][145/500] eta: 0:00:07 time: 0.0225 data_time: 0.0022 memory: 661 2022/08/26 17:35:18 - mmengine - INFO - Epoch(val) [240][150/500] eta: 0:00:08 time: 0.0230 data_time: 0.0022 memory: 661 2022/08/26 17:35:18 - mmengine - INFO - Epoch(val) [240][155/500] eta: 0:00:08 time: 0.0259 data_time: 0.0022 memory: 661 2022/08/26 17:35:18 - mmengine - INFO - Epoch(val) [240][160/500] eta: 0:00:08 time: 0.0256 data_time: 0.0022 memory: 661 2022/08/26 17:35:18 - mmengine - INFO - Epoch(val) [240][165/500] eta: 0:00:08 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 17:35:18 - mmengine - INFO - Epoch(val) [240][170/500] eta: 0:00:07 time: 0.0239 data_time: 0.0021 memory: 661 2022/08/26 17:35:18 - mmengine - INFO - Epoch(val) [240][175/500] eta: 0:00:07 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 17:35:18 - mmengine - INFO - Epoch(val) [240][180/500] eta: 0:00:06 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 17:35:18 - mmengine - INFO - Epoch(val) [240][185/500] eta: 0:00:06 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 17:35:19 - mmengine - INFO - Epoch(val) [240][190/500] eta: 0:00:07 time: 0.0239 data_time: 0.0022 memory: 661 2022/08/26 17:35:19 - mmengine - INFO - Epoch(val) [240][195/500] eta: 0:00:07 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 17:35:19 - mmengine - INFO - Epoch(val) [240][200/500] eta: 0:00:07 time: 0.0257 data_time: 0.0021 memory: 661 2022/08/26 17:35:19 - mmengine - INFO - Epoch(val) [240][205/500] eta: 0:00:07 time: 0.0256 data_time: 0.0021 memory: 661 2022/08/26 17:35:19 - mmengine - INFO - Epoch(val) [240][210/500] eta: 0:00:05 time: 0.0205 data_time: 0.0021 memory: 661 2022/08/26 17:35:19 - mmengine - INFO - Epoch(val) [240][215/500] eta: 0:00:05 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 17:35:19 - mmengine - INFO - Epoch(val) [240][220/500] eta: 0:00:06 time: 0.0226 data_time: 0.0021 memory: 661 2022/08/26 17:35:19 - mmengine - INFO - Epoch(val) [240][225/500] eta: 0:00:06 time: 0.0226 data_time: 0.0021 memory: 661 2022/08/26 17:35:19 - mmengine - INFO - Epoch(val) [240][230/500] eta: 0:00:05 time: 0.0221 data_time: 0.0024 memory: 661 2022/08/26 17:35:20 - mmengine - INFO - Epoch(val) [240][235/500] eta: 0:00:05 time: 0.0231 data_time: 0.0024 memory: 661 2022/08/26 17:35:20 - mmengine - INFO - Epoch(val) [240][240/500] eta: 0:00:06 time: 0.0239 data_time: 0.0022 memory: 661 2022/08/26 17:35:20 - mmengine - INFO - Epoch(val) [240][245/500] eta: 0:00:06 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 17:35:20 - mmengine - INFO - Epoch(val) [240][250/500] eta: 0:00:05 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 17:35:20 - mmengine - INFO - Epoch(val) [240][255/500] eta: 0:00:05 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 17:35:20 - mmengine - INFO - Epoch(val) [240][260/500] eta: 0:00:05 time: 0.0212 data_time: 0.0021 memory: 661 2022/08/26 17:35:20 - mmengine - INFO - Epoch(val) [240][265/500] eta: 0:00:05 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 17:35:20 - mmengine - INFO - Epoch(val) [240][270/500] eta: 0:00:05 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 17:35:20 - mmengine - INFO - Epoch(val) [240][275/500] eta: 0:00:05 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 17:35:21 - mmengine - INFO - Epoch(val) [240][280/500] eta: 0:00:05 time: 0.0240 data_time: 0.0021 memory: 661 2022/08/26 17:35:21 - mmengine - INFO - Epoch(val) [240][285/500] eta: 0:00:05 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 17:35:21 - mmengine - INFO - Epoch(val) [240][290/500] eta: 0:00:05 time: 0.0255 data_time: 0.0023 memory: 661 2022/08/26 17:35:21 - mmengine - INFO - Epoch(val) [240][295/500] eta: 0:00:05 time: 0.0263 data_time: 0.0024 memory: 661 2022/08/26 17:35:21 - mmengine - INFO - Epoch(val) [240][300/500] eta: 0:00:04 time: 0.0226 data_time: 0.0022 memory: 661 2022/08/26 17:35:21 - mmengine - INFO - Epoch(val) [240][305/500] eta: 0:00:04 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 17:35:21 - mmengine - INFO - Epoch(val) [240][310/500] eta: 0:00:04 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 17:35:21 - mmengine - INFO - Epoch(val) [240][315/500] eta: 0:00:04 time: 0.0240 data_time: 0.0023 memory: 661 2022/08/26 17:35:22 - mmengine - INFO - Epoch(val) [240][320/500] eta: 0:00:04 time: 0.0238 data_time: 0.0023 memory: 661 2022/08/26 17:35:22 - mmengine - INFO - Epoch(val) [240][325/500] eta: 0:00:04 time: 0.0566 data_time: 0.0036 memory: 661 2022/08/26 17:35:22 - mmengine - INFO - Epoch(val) [240][330/500] eta: 0:00:09 time: 0.0582 data_time: 0.0048 memory: 661 2022/08/26 17:35:23 - mmengine - INFO - Epoch(val) [240][335/500] eta: 0:00:09 time: 0.0525 data_time: 0.0332 memory: 661 2022/08/26 17:35:23 - mmengine - INFO - Epoch(val) [240][340/500] eta: 0:00:08 time: 0.0546 data_time: 0.0320 memory: 661 2022/08/26 17:35:23 - mmengine - INFO - Epoch(val) [240][345/500] eta: 0:00:08 time: 0.0248 data_time: 0.0021 memory: 661 2022/08/26 17:35:23 - mmengine - INFO - Epoch(val) [240][350/500] eta: 0:00:03 time: 0.0240 data_time: 0.0020 memory: 661 2022/08/26 17:35:23 - mmengine - INFO - Epoch(val) [240][355/500] eta: 0:00:03 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 17:35:23 - mmengine - INFO - Epoch(val) [240][360/500] eta: 0:00:02 time: 0.0210 data_time: 0.0020 memory: 661 2022/08/26 17:35:23 - mmengine - INFO - Epoch(val) [240][365/500] eta: 0:00:02 time: 0.0210 data_time: 0.0019 memory: 661 2022/08/26 17:35:23 - mmengine - INFO - Epoch(val) [240][370/500] eta: 0:00:02 time: 0.0196 data_time: 0.0019 memory: 661 2022/08/26 17:35:23 - mmengine - INFO - Epoch(val) [240][375/500] eta: 0:00:02 time: 0.0190 data_time: 0.0019 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][380/500] eta: 0:00:02 time: 0.0211 data_time: 0.0018 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][385/500] eta: 0:00:02 time: 0.0217 data_time: 0.0018 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][390/500] eta: 0:00:02 time: 0.0205 data_time: 0.0018 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][395/500] eta: 0:00:02 time: 0.0204 data_time: 0.0018 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][400/500] eta: 0:00:02 time: 0.0201 data_time: 0.0018 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][405/500] eta: 0:00:02 time: 0.0208 data_time: 0.0021 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][410/500] eta: 0:00:02 time: 0.0231 data_time: 0.0022 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][415/500] eta: 0:00:02 time: 0.0238 data_time: 0.0023 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][420/500] eta: 0:00:01 time: 0.0216 data_time: 0.0024 memory: 661 2022/08/26 17:35:24 - mmengine - INFO - Epoch(val) [240][425/500] eta: 0:00:01 time: 0.0208 data_time: 0.0021 memory: 661 2022/08/26 17:35:25 - mmengine - INFO - Epoch(val) [240][430/500] eta: 0:00:01 time: 0.0214 data_time: 0.0018 memory: 661 2022/08/26 17:35:25 - mmengine - INFO - Epoch(val) [240][435/500] eta: 0:00:01 time: 0.0209 data_time: 0.0019 memory: 661 2022/08/26 17:35:25 - mmengine - INFO - Epoch(val) [240][440/500] eta: 0:00:01 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 17:35:25 - mmengine - INFO - Epoch(val) [240][445/500] eta: 0:00:01 time: 0.0236 data_time: 0.0019 memory: 661 2022/08/26 17:35:25 - mmengine - INFO - Epoch(val) [240][450/500] eta: 0:00:01 time: 0.0246 data_time: 0.0019 memory: 661 2022/08/26 17:35:25 - mmengine - INFO - Epoch(val) [240][455/500] eta: 0:00:01 time: 0.0235 data_time: 0.0019 memory: 661 2022/08/26 17:35:25 - mmengine - INFO - Epoch(val) [240][460/500] eta: 0:00:00 time: 0.0210 data_time: 0.0018 memory: 661 2022/08/26 17:35:25 - mmengine - INFO - Epoch(val) [240][465/500] eta: 0:00:00 time: 0.0204 data_time: 0.0019 memory: 661 2022/08/26 17:35:25 - mmengine - INFO - Epoch(val) [240][470/500] eta: 0:00:00 time: 0.0212 data_time: 0.0019 memory: 661 2022/08/26 17:35:26 - mmengine - INFO - Epoch(val) [240][475/500] eta: 0:00:00 time: 0.0204 data_time: 0.0020 memory: 661 2022/08/26 17:35:26 - mmengine - INFO - Epoch(val) [240][480/500] eta: 0:00:00 time: 0.0211 data_time: 0.0019 memory: 661 2022/08/26 17:35:26 - mmengine - INFO - Epoch(val) [240][485/500] eta: 0:00:00 time: 0.0217 data_time: 0.0018 memory: 661 2022/08/26 17:35:26 - mmengine - INFO - Epoch(val) [240][490/500] eta: 0:00:00 time: 0.0222 data_time: 0.0017 memory: 661 2022/08/26 17:35:26 - mmengine - INFO - Epoch(val) [240][495/500] eta: 0:00:00 time: 0.0230 data_time: 0.0017 memory: 661 2022/08/26 17:35:26 - mmengine - INFO - Epoch(val) [240][500/500] eta: 0:00:00 time: 0.0212 data_time: 0.0018 memory: 661 2022/08/26 17:35:26 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7309, precision: 0.7702, hmean: 0.7500 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7309, precision: 0.7702, hmean: 0.7500 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7309, precision: 0.7702, hmean: 0.7500 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7309, precision: 0.7702, hmean: 0.7500 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7309, precision: 0.7702, hmean: 0.7500 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7309, precision: 0.7706, hmean: 0.7502 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7309, precision: 0.7729, hmean: 0.7513 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7299, precision: 0.7802, hmean: 0.7542 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7299, precision: 0.7929, hmean: 0.7601 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7270, precision: 0.8058, hmean: 0.7644 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7203, precision: 0.8144, hmean: 0.7644 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7078, precision: 0.8362, hmean: 0.7666 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6610, precision: 0.8684, hmean: 0.7507 2022/08/26 17:35:26 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.2494, precision: 0.9120, hmean: 0.3917 2022/08/26 17:35:26 - mmengine - INFO - Epoch(val) [240][500/500] icdar/precision: 0.8362 icdar/recall: 0.7078 icdar/hmean: 0.7666 2022/08/26 17:35:42 - mmengine - INFO - Epoch(train) [241][5/16] lr: 6.3081e-04 eta: 0:00:00 time: 2.6486 data_time: 0.4914 memory: 63381 loss_text: 0.2247 loss_kernel: 0.1160 loss_embedding: 0.0121 loss: 0.3528 2022/08/26 17:35:54 - mmengine - INFO - Epoch(train) [241][10/16] lr: 6.3081e-04 eta: 2:45:43 time: 2.7621 data_time: 0.5491 memory: 63381 loss_text: 0.2283 loss_kernel: 0.1182 loss_embedding: 0.0129 loss: 0.3594 2022/08/26 17:36:05 - mmengine - INFO - Epoch(train) [241][15/16] lr: 6.3081e-04 eta: 2:45:43 time: 2.3148 data_time: 0.1191 memory: 63381 loss_text: 0.2235 loss_kernel: 0.1171 loss_embedding: 0.0121 loss: 0.3527 2022/08/26 17:36:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:36:22 - mmengine - INFO - Epoch(train) [242][5/16] lr: 6.2923e-04 eta: 2:45:43 time: 2.5686 data_time: 0.4741 memory: 63381 loss_text: 0.2305 loss_kernel: 0.1212 loss_embedding: 0.0109 loss: 0.3625 2022/08/26 17:36:34 - mmengine - INFO - Epoch(train) [242][10/16] lr: 6.2923e-04 eta: 2:45:14 time: 2.6873 data_time: 0.5236 memory: 63381 loss_text: 0.2183 loss_kernel: 0.1164 loss_embedding: 0.0125 loss: 0.3473 2022/08/26 17:36:45 - mmengine - INFO - Epoch(train) [242][15/16] lr: 6.2923e-04 eta: 2:45:14 time: 2.3040 data_time: 0.1032 memory: 63381 loss_text: 0.1956 loss_kernel: 0.1067 loss_embedding: 0.0123 loss: 0.3147 2022/08/26 17:36:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:37:02 - mmengine - INFO - Epoch(train) [243][5/16] lr: 6.2765e-04 eta: 2:45:14 time: 2.6258 data_time: 0.5081 memory: 63381 loss_text: 0.2138 loss_kernel: 0.1154 loss_embedding: 0.0111 loss: 0.3403 2022/08/26 17:37:14 - mmengine - INFO - Epoch(train) [243][10/16] lr: 6.2765e-04 eta: 2:44:46 time: 2.7418 data_time: 0.5229 memory: 63381 loss_text: 0.2209 loss_kernel: 0.1176 loss_embedding: 0.0117 loss: 0.3503 2022/08/26 17:37:26 - mmengine - INFO - Epoch(train) [243][15/16] lr: 6.2765e-04 eta: 2:44:46 time: 2.3615 data_time: 0.0919 memory: 63381 loss_text: 0.2143 loss_kernel: 0.1134 loss_embedding: 0.0132 loss: 0.3409 2022/08/26 17:37:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:37:45 - mmengine - INFO - Epoch(train) [244][5/16] lr: 6.2607e-04 eta: 2:44:46 time: 2.8734 data_time: 0.6055 memory: 63381 loss_text: 0.2059 loss_kernel: 0.1094 loss_embedding: 0.0124 loss: 0.3277 2022/08/26 17:37:57 - mmengine - INFO - Epoch(train) [244][10/16] lr: 6.2607e-04 eta: 2:44:21 time: 2.9264 data_time: 0.6565 memory: 63381 loss_text: 0.2000 loss_kernel: 0.1082 loss_embedding: 0.0127 loss: 0.3209 2022/08/26 17:38:08 - mmengine - INFO - Epoch(train) [244][15/16] lr: 6.2607e-04 eta: 2:44:21 time: 2.2588 data_time: 0.1133 memory: 63381 loss_text: 0.2215 loss_kernel: 0.1165 loss_embedding: 0.0128 loss: 0.3508 2022/08/26 17:38:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:38:28 - mmengine - INFO - Epoch(train) [245][5/16] lr: 6.2448e-04 eta: 2:44:21 time: 2.9101 data_time: 0.7677 memory: 63381 loss_text: 0.2241 loss_kernel: 0.1175 loss_embedding: 0.0156 loss: 0.3572 2022/08/26 17:38:39 - mmengine - INFO - Epoch(train) [245][10/16] lr: 6.2448e-04 eta: 2:43:56 time: 2.9483 data_time: 0.7630 memory: 63381 loss_text: 0.2214 loss_kernel: 0.1178 loss_embedding: 0.0157 loss: 0.3549 2022/08/26 17:38:51 - mmengine - INFO - Epoch(train) [245][15/16] lr: 6.2448e-04 eta: 2:43:56 time: 2.2602 data_time: 0.0525 memory: 63381 loss_text: 0.2177 loss_kernel: 0.1154 loss_embedding: 0.0127 loss: 0.3458 2022/08/26 17:38:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:39:08 - mmengine - INFO - Epoch(train) [246][5/16] lr: 6.2290e-04 eta: 2:43:56 time: 2.6905 data_time: 0.4717 memory: 63381 loss_text: 0.1921 loss_kernel: 0.1015 loss_embedding: 0.0125 loss: 0.3060 2022/08/26 17:39:19 - mmengine - INFO - Epoch(train) [246][10/16] lr: 6.2290e-04 eta: 2:43:28 time: 2.7229 data_time: 0.5019 memory: 63381 loss_text: 0.1980 loss_kernel: 0.1054 loss_embedding: 0.0132 loss: 0.3165 2022/08/26 17:39:31 - mmengine - INFO - Epoch(train) [246][15/16] lr: 6.2290e-04 eta: 2:43:28 time: 2.2696 data_time: 0.0835 memory: 63381 loss_text: 0.2324 loss_kernel: 0.1224 loss_embedding: 0.0116 loss: 0.3664 2022/08/26 17:39:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:39:47 - mmengine - INFO - Epoch(train) [247][5/16] lr: 6.2132e-04 eta: 2:43:28 time: 2.5794 data_time: 0.4689 memory: 63381 loss_text: 0.2161 loss_kernel: 0.1159 loss_embedding: 0.0114 loss: 0.3434 2022/08/26 17:39:59 - mmengine - INFO - Epoch(train) [247][10/16] lr: 6.2132e-04 eta: 2:42:58 time: 2.6526 data_time: 0.5068 memory: 63381 loss_text: 0.2159 loss_kernel: 0.1132 loss_embedding: 0.0111 loss: 0.3403 2022/08/26 17:40:10 - mmengine - INFO - Epoch(train) [247][15/16] lr: 6.2132e-04 eta: 2:42:58 time: 2.3055 data_time: 0.0945 memory: 63381 loss_text: 0.2269 loss_kernel: 0.1167 loss_embedding: 0.0116 loss: 0.3552 2022/08/26 17:40:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:40:28 - mmengine - INFO - Epoch(train) [248][5/16] lr: 6.1973e-04 eta: 2:42:58 time: 2.6477 data_time: 0.4678 memory: 63381 loss_text: 0.2253 loss_kernel: 0.1164 loss_embedding: 0.0126 loss: 0.3543 2022/08/26 17:40:39 - mmengine - INFO - Epoch(train) [248][10/16] lr: 6.1973e-04 eta: 2:42:30 time: 2.7191 data_time: 0.5328 memory: 63381 loss_text: 0.2241 loss_kernel: 0.1155 loss_embedding: 0.0117 loss: 0.3513 2022/08/26 17:40:50 - mmengine - INFO - Epoch(train) [248][15/16] lr: 6.1973e-04 eta: 2:42:30 time: 2.2433 data_time: 0.1142 memory: 63381 loss_text: 0.2234 loss_kernel: 0.1175 loss_embedding: 0.0128 loss: 0.3536 2022/08/26 17:40:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:41:07 - mmengine - INFO - Epoch(train) [249][5/16] lr: 6.1815e-04 eta: 2:42:30 time: 2.5535 data_time: 0.4601 memory: 63381 loss_text: 0.2247 loss_kernel: 0.1188 loss_embedding: 0.0126 loss: 0.3562 2022/08/26 17:41:18 - mmengine - INFO - Epoch(train) [249][10/16] lr: 6.1815e-04 eta: 2:42:01 time: 2.6930 data_time: 0.4931 memory: 63381 loss_text: 0.2351 loss_kernel: 0.1229 loss_embedding: 0.0111 loss: 0.3691 2022/08/26 17:41:30 - mmengine - INFO - Epoch(train) [249][15/16] lr: 6.1815e-04 eta: 2:42:01 time: 2.2841 data_time: 0.0929 memory: 63381 loss_text: 0.2106 loss_kernel: 0.1124 loss_embedding: 0.0146 loss: 0.3377 2022/08/26 17:41:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:41:47 - mmengine - INFO - Epoch(train) [250][5/16] lr: 6.1656e-04 eta: 2:42:01 time: 2.6155 data_time: 0.5101 memory: 63381 loss_text: 0.2067 loss_kernel: 0.1106 loss_embedding: 0.0140 loss: 0.3313 2022/08/26 17:41:59 - mmengine - INFO - Epoch(train) [250][10/16] lr: 6.1656e-04 eta: 2:41:34 time: 2.7684 data_time: 0.5865 memory: 63381 loss_text: 0.2179 loss_kernel: 0.1159 loss_embedding: 0.0117 loss: 0.3456 2022/08/26 17:42:10 - mmengine - INFO - Epoch(train) [250][15/16] lr: 6.1656e-04 eta: 2:41:34 time: 2.3271 data_time: 0.1350 memory: 63381 loss_text: 0.2354 loss_kernel: 0.1249 loss_embedding: 0.0122 loss: 0.3726 2022/08/26 17:42:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:42:27 - mmengine - INFO - Epoch(train) [251][5/16] lr: 6.1498e-04 eta: 2:41:34 time: 2.5827 data_time: 0.4763 memory: 63381 loss_text: 0.2376 loss_kernel: 0.1252 loss_embedding: 0.0120 loss: 0.3747 2022/08/26 17:42:39 - mmengine - INFO - Epoch(train) [251][10/16] lr: 6.1498e-04 eta: 2:41:05 time: 2.7203 data_time: 0.5122 memory: 63381 loss_text: 0.2307 loss_kernel: 0.1197 loss_embedding: 0.0111 loss: 0.3615 2022/08/26 17:42:50 - mmengine - INFO - Epoch(train) [251][15/16] lr: 6.1498e-04 eta: 2:41:05 time: 2.3028 data_time: 0.1064 memory: 63381 loss_text: 0.2301 loss_kernel: 0.1185 loss_embedding: 0.0117 loss: 0.3603 2022/08/26 17:42:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:43:07 - mmengine - INFO - Epoch(train) [252][5/16] lr: 6.1339e-04 eta: 2:41:05 time: 2.5559 data_time: 0.4825 memory: 63381 loss_text: 0.2214 loss_kernel: 0.1160 loss_embedding: 0.0138 loss: 0.3512 2022/08/26 17:43:19 - mmengine - INFO - Epoch(train) [252][10/16] lr: 6.1339e-04 eta: 2:40:37 time: 2.7263 data_time: 0.5274 memory: 63381 loss_text: 0.2032 loss_kernel: 0.1053 loss_embedding: 0.0146 loss: 0.3231 2022/08/26 17:43:30 - mmengine - INFO - Epoch(train) [252][15/16] lr: 6.1339e-04 eta: 2:40:37 time: 2.3728 data_time: 0.1369 memory: 63381 loss_text: 0.1927 loss_kernel: 0.1010 loss_embedding: 0.0133 loss: 0.3070 2022/08/26 17:43:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:43:47 - mmengine - INFO - Epoch(train) [253][5/16] lr: 6.1180e-04 eta: 2:40:37 time: 2.5873 data_time: 0.4869 memory: 63381 loss_text: 0.2148 loss_kernel: 0.1110 loss_embedding: 0.0127 loss: 0.3385 2022/08/26 17:43:59 - mmengine - INFO - Epoch(train) [253][10/16] lr: 6.1180e-04 eta: 2:40:08 time: 2.7074 data_time: 0.5392 memory: 63381 loss_text: 0.2164 loss_kernel: 0.1128 loss_embedding: 0.0122 loss: 0.3414 2022/08/26 17:44:10 - mmengine - INFO - Epoch(train) [253][15/16] lr: 6.1180e-04 eta: 2:40:08 time: 2.3288 data_time: 0.1273 memory: 63381 loss_text: 0.2062 loss_kernel: 0.1104 loss_embedding: 0.0114 loss: 0.3280 2022/08/26 17:44:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:44:28 - mmengine - INFO - Epoch(train) [254][5/16] lr: 6.1022e-04 eta: 2:40:08 time: 2.6773 data_time: 0.4953 memory: 63381 loss_text: 0.2014 loss_kernel: 0.1071 loss_embedding: 0.0121 loss: 0.3207 2022/08/26 17:44:39 - mmengine - INFO - Epoch(train) [254][10/16] lr: 6.1022e-04 eta: 2:39:41 time: 2.7490 data_time: 0.5297 memory: 63381 loss_text: 0.2204 loss_kernel: 0.1132 loss_embedding: 0.0131 loss: 0.3467 2022/08/26 17:44:51 - mmengine - INFO - Epoch(train) [254][15/16] lr: 6.1022e-04 eta: 2:39:41 time: 2.3013 data_time: 0.0936 memory: 63381 loss_text: 0.2403 loss_kernel: 0.1254 loss_embedding: 0.0118 loss: 0.3774 2022/08/26 17:44:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:45:08 - mmengine - INFO - Epoch(train) [255][5/16] lr: 6.0863e-04 eta: 2:39:41 time: 2.6676 data_time: 0.4818 memory: 63381 loss_text: 0.2258 loss_kernel: 0.1196 loss_embedding: 0.0112 loss: 0.3566 2022/08/26 17:45:19 - mmengine - INFO - Epoch(train) [255][10/16] lr: 6.0863e-04 eta: 2:39:12 time: 2.6797 data_time: 0.4949 memory: 63381 loss_text: 0.2086 loss_kernel: 0.1104 loss_embedding: 0.0127 loss: 0.3316 2022/08/26 17:45:31 - mmengine - INFO - Epoch(train) [255][15/16] lr: 6.0863e-04 eta: 2:39:12 time: 2.3047 data_time: 0.0916 memory: 63381 loss_text: 0.2032 loss_kernel: 0.1092 loss_embedding: 0.0140 loss: 0.3264 2022/08/26 17:45:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:45:48 - mmengine - INFO - Epoch(train) [256][5/16] lr: 6.0704e-04 eta: 2:39:12 time: 2.6640 data_time: 0.4662 memory: 63381 loss_text: 0.1982 loss_kernel: 0.1077 loss_embedding: 0.0150 loss: 0.3209 2022/08/26 17:46:00 - mmengine - INFO - Epoch(train) [256][10/16] lr: 6.0704e-04 eta: 2:38:44 time: 2.7265 data_time: 0.5327 memory: 63381 loss_text: 0.2136 loss_kernel: 0.1146 loss_embedding: 0.0147 loss: 0.3429 2022/08/26 17:46:11 - mmengine - INFO - Epoch(train) [256][15/16] lr: 6.0704e-04 eta: 2:38:44 time: 2.3006 data_time: 0.1144 memory: 63381 loss_text: 0.2318 loss_kernel: 0.1209 loss_embedding: 0.0134 loss: 0.3662 2022/08/26 17:46:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:46:29 - mmengine - INFO - Epoch(train) [257][5/16] lr: 6.0545e-04 eta: 2:38:44 time: 2.6501 data_time: 0.5041 memory: 63381 loss_text: 0.2112 loss_kernel: 0.1108 loss_embedding: 0.0148 loss: 0.3368 2022/08/26 17:46:40 - mmengine - INFO - Epoch(train) [257][10/16] lr: 6.0545e-04 eta: 2:38:15 time: 2.6983 data_time: 0.5274 memory: 63381 loss_text: 0.2247 loss_kernel: 0.1188 loss_embedding: 0.0141 loss: 0.3575 2022/08/26 17:46:51 - mmengine - INFO - Epoch(train) [257][15/16] lr: 6.0545e-04 eta: 2:38:15 time: 2.2785 data_time: 0.0890 memory: 63381 loss_text: 0.2369 loss_kernel: 0.1235 loss_embedding: 0.0127 loss: 0.3731 2022/08/26 17:46:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:47:09 - mmengine - INFO - Epoch(train) [258][5/16] lr: 6.0386e-04 eta: 2:38:15 time: 2.6476 data_time: 0.4823 memory: 63381 loss_text: 0.2106 loss_kernel: 0.1123 loss_embedding: 0.0129 loss: 0.3358 2022/08/26 17:47:20 - mmengine - INFO - Epoch(train) [258][10/16] lr: 6.0386e-04 eta: 2:37:47 time: 2.7405 data_time: 0.5241 memory: 63381 loss_text: 0.2059 loss_kernel: 0.1097 loss_embedding: 0.0144 loss: 0.3299 2022/08/26 17:47:32 - mmengine - INFO - Epoch(train) [258][15/16] lr: 6.0386e-04 eta: 2:37:47 time: 2.2743 data_time: 0.0906 memory: 63381 loss_text: 0.2066 loss_kernel: 0.1101 loss_embedding: 0.0135 loss: 0.3302 2022/08/26 17:47:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:47:49 - mmengine - INFO - Epoch(train) [259][5/16] lr: 6.0227e-04 eta: 2:37:47 time: 2.6354 data_time: 0.4821 memory: 63381 loss_text: 0.2049 loss_kernel: 0.1111 loss_embedding: 0.0129 loss: 0.3290 2022/08/26 17:48:01 - mmengine - INFO - Epoch(train) [259][10/16] lr: 6.0227e-04 eta: 2:37:19 time: 2.7488 data_time: 0.5515 memory: 63381 loss_text: 0.2008 loss_kernel: 0.1067 loss_embedding: 0.0129 loss: 0.3204 2022/08/26 17:48:13 - mmengine - INFO - Epoch(train) [259][15/16] lr: 6.0227e-04 eta: 2:37:19 time: 2.3440 data_time: 0.1346 memory: 63381 loss_text: 0.2036 loss_kernel: 0.1085 loss_embedding: 0.0124 loss: 0.3246 2022/08/26 17:48:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:48:30 - mmengine - INFO - Epoch(train) [260][5/16] lr: 6.0069e-04 eta: 2:37:19 time: 2.6264 data_time: 0.4837 memory: 63381 loss_text: 0.2139 loss_kernel: 0.1131 loss_embedding: 0.0130 loss: 0.3400 2022/08/26 17:48:41 - mmengine - INFO - Epoch(train) [260][10/16] lr: 6.0069e-04 eta: 2:36:51 time: 2.6926 data_time: 0.5166 memory: 63381 loss_text: 0.2206 loss_kernel: 0.1157 loss_embedding: 0.0117 loss: 0.3479 2022/08/26 17:48:53 - mmengine - INFO - Epoch(train) [260][15/16] lr: 6.0069e-04 eta: 2:36:51 time: 2.3517 data_time: 0.1017 memory: 63381 loss_text: 0.1912 loss_kernel: 0.1034 loss_embedding: 0.0127 loss: 0.3073 2022/08/26 17:48:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:48:55 - mmengine - INFO - Saving checkpoint at 260 epochs 2022/08/26 17:48:58 - mmengine - INFO - Epoch(val) [260][5/500] eta: 2:36:51 time: 0.0607 data_time: 0.0136 memory: 39748 2022/08/26 17:48:58 - mmengine - INFO - Epoch(val) [260][10/500] eta: 0:00:31 time: 0.0648 data_time: 0.0138 memory: 661 2022/08/26 17:48:58 - mmengine - INFO - Epoch(val) [260][15/500] eta: 0:00:31 time: 0.0255 data_time: 0.0021 memory: 661 2022/08/26 17:48:59 - mmengine - INFO - Epoch(val) [260][20/500] eta: 0:00:10 time: 0.0225 data_time: 0.0020 memory: 661 2022/08/26 17:48:59 - mmengine - INFO - Epoch(val) [260][25/500] eta: 0:00:10 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 17:48:59 - mmengine - INFO - Epoch(val) [260][30/500] eta: 0:00:11 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 17:48:59 - mmengine - INFO - Epoch(val) [260][35/500] eta: 0:00:11 time: 0.0238 data_time: 0.0019 memory: 661 2022/08/26 17:48:59 - mmengine - INFO - Epoch(val) [260][40/500] eta: 0:00:11 time: 0.0245 data_time: 0.0019 memory: 661 2022/08/26 17:48:59 - mmengine - INFO - Epoch(val) [260][45/500] eta: 0:00:11 time: 0.0253 data_time: 0.0020 memory: 661 2022/08/26 17:48:59 - mmengine - INFO - Epoch(val) [260][50/500] eta: 0:00:10 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 17:48:59 - mmengine - INFO - Epoch(val) [260][55/500] eta: 0:00:10 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 17:49:00 - mmengine - INFO - Epoch(val) [260][60/500] eta: 0:00:09 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 17:49:00 - mmengine - INFO - Epoch(val) [260][65/500] eta: 0:00:09 time: 0.0236 data_time: 0.0021 memory: 661 2022/08/26 17:49:00 - mmengine - INFO - Epoch(val) [260][70/500] eta: 0:00:11 time: 0.0268 data_time: 0.0022 memory: 661 2022/08/26 17:49:00 - mmengine - INFO - Epoch(val) [260][75/500] eta: 0:00:11 time: 0.0242 data_time: 0.0023 memory: 661 2022/08/26 17:49:00 - mmengine - INFO - Epoch(val) [260][80/500] eta: 0:00:08 time: 0.0210 data_time: 0.0022 memory: 661 2022/08/26 17:49:00 - mmengine - INFO - Epoch(val) [260][85/500] eta: 0:00:08 time: 0.0202 data_time: 0.0022 memory: 661 2022/08/26 17:49:00 - mmengine - INFO - Epoch(val) [260][90/500] eta: 0:00:09 time: 0.0242 data_time: 0.0022 memory: 661 2022/08/26 17:49:00 - mmengine - INFO - Epoch(val) [260][95/500] eta: 0:00:09 time: 0.0264 data_time: 0.0024 memory: 661 2022/08/26 17:49:00 - mmengine - INFO - Epoch(val) [260][100/500] eta: 0:00:09 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 17:49:01 - mmengine - INFO - Epoch(val) [260][105/500] eta: 0:00:09 time: 0.0225 data_time: 0.0020 memory: 661 2022/08/26 17:49:01 - mmengine - INFO - Epoch(val) [260][110/500] eta: 0:00:08 time: 0.0223 data_time: 0.0020 memory: 661 2022/08/26 17:49:01 - mmengine - INFO - Epoch(val) [260][115/500] eta: 0:00:08 time: 0.0231 data_time: 0.0021 memory: 661 2022/08/26 17:49:01 - mmengine - INFO - Epoch(val) [260][120/500] eta: 0:00:09 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 17:49:01 - mmengine - INFO - Epoch(val) [260][125/500] eta: 0:00:09 time: 0.0234 data_time: 0.0023 memory: 661 2022/08/26 17:49:01 - mmengine - INFO - Epoch(val) [260][130/500] eta: 0:00:08 time: 0.0231 data_time: 0.0024 memory: 661 2022/08/26 17:49:01 - mmengine - INFO - Epoch(val) [260][135/500] eta: 0:00:08 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 17:49:01 - mmengine - INFO - Epoch(val) [260][140/500] eta: 0:00:08 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 17:49:02 - mmengine - INFO - Epoch(val) [260][145/500] eta: 0:00:08 time: 0.0241 data_time: 0.0023 memory: 661 2022/08/26 17:49:02 - mmengine - INFO - Epoch(val) [260][150/500] eta: 0:00:08 time: 0.0247 data_time: 0.0022 memory: 661 2022/08/26 17:49:02 - mmengine - INFO - Epoch(val) [260][155/500] eta: 0:00:08 time: 0.0272 data_time: 0.0021 memory: 661 2022/08/26 17:49:02 - mmengine - INFO - Epoch(val) [260][160/500] eta: 0:00:09 time: 0.0271 data_time: 0.0022 memory: 661 2022/08/26 17:49:02 - mmengine - INFO - Epoch(val) [260][165/500] eta: 0:00:09 time: 0.0511 data_time: 0.0273 memory: 661 2022/08/26 17:49:02 - mmengine - INFO - Epoch(val) [260][170/500] eta: 0:00:16 time: 0.0513 data_time: 0.0269 memory: 661 2022/08/26 17:49:03 - mmengine - INFO - Epoch(val) [260][175/500] eta: 0:00:16 time: 0.0234 data_time: 0.0018 memory: 661 2022/08/26 17:49:03 - mmengine - INFO - Epoch(val) [260][180/500] eta: 0:00:07 time: 0.0234 data_time: 0.0022 memory: 661 2022/08/26 17:49:03 - mmengine - INFO - Epoch(val) [260][185/500] eta: 0:00:07 time: 0.0265 data_time: 0.0025 memory: 661 2022/08/26 17:49:03 - mmengine - INFO - Epoch(val) [260][190/500] eta: 0:00:08 time: 0.0267 data_time: 0.0025 memory: 661 2022/08/26 17:49:03 - mmengine - INFO - Epoch(val) [260][195/500] eta: 0:00:08 time: 0.0241 data_time: 0.0029 memory: 661 2022/08/26 17:49:03 - mmengine - INFO - Epoch(val) [260][200/500] eta: 0:00:08 time: 0.0279 data_time: 0.0028 memory: 661 2022/08/26 17:49:03 - mmengine - INFO - Epoch(val) [260][205/500] eta: 0:00:08 time: 0.0265 data_time: 0.0018 memory: 661 2022/08/26 17:49:03 - mmengine - INFO - Epoch(val) [260][210/500] eta: 0:00:05 time: 0.0206 data_time: 0.0020 memory: 661 2022/08/26 17:49:04 - mmengine - INFO - Epoch(val) [260][215/500] eta: 0:00:05 time: 0.0225 data_time: 0.0022 memory: 661 2022/08/26 17:49:04 - mmengine - INFO - Epoch(val) [260][220/500] eta: 0:00:06 time: 0.0238 data_time: 0.0021 memory: 661 2022/08/26 17:49:04 - mmengine - INFO - Epoch(val) [260][225/500] eta: 0:00:06 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 17:49:04 - mmengine - INFO - Epoch(val) [260][230/500] eta: 0:00:06 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 17:49:04 - mmengine - INFO - Epoch(val) [260][235/500] eta: 0:00:06 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 17:49:04 - mmengine - INFO - Epoch(val) [260][240/500] eta: 0:00:06 time: 0.0242 data_time: 0.0021 memory: 661 2022/08/26 17:49:04 - mmengine - INFO - Epoch(val) [260][245/500] eta: 0:00:06 time: 0.0229 data_time: 0.0022 memory: 661 2022/08/26 17:49:04 - mmengine - INFO - Epoch(val) [260][250/500] eta: 0:00:05 time: 0.0231 data_time: 0.0020 memory: 661 2022/08/26 17:49:04 - mmengine - INFO - Epoch(val) [260][255/500] eta: 0:00:05 time: 0.0226 data_time: 0.0019 memory: 661 2022/08/26 17:49:05 - mmengine - INFO - Epoch(val) [260][260/500] eta: 0:00:05 time: 0.0213 data_time: 0.0020 memory: 661 2022/08/26 17:49:05 - mmengine - INFO - Epoch(val) [260][265/500] eta: 0:00:05 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 17:49:05 - mmengine - INFO - Epoch(val) [260][270/500] eta: 0:00:05 time: 0.0219 data_time: 0.0019 memory: 661 2022/08/26 17:49:05 - mmengine - INFO - Epoch(val) [260][275/500] eta: 0:00:05 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 17:49:05 - mmengine - INFO - Epoch(val) [260][280/500] eta: 0:00:05 time: 0.0234 data_time: 0.0021 memory: 661 2022/08/26 17:49:05 - mmengine - INFO - Epoch(val) [260][285/500] eta: 0:00:05 time: 0.0237 data_time: 0.0020 memory: 661 2022/08/26 17:49:05 - mmengine - INFO - Epoch(val) [260][290/500] eta: 0:00:04 time: 0.0231 data_time: 0.0020 memory: 661 2022/08/26 17:49:05 - mmengine - INFO - Epoch(val) [260][295/500] eta: 0:00:04 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 17:49:05 - mmengine - INFO - Epoch(val) [260][300/500] eta: 0:00:04 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 17:49:06 - mmengine - INFO - Epoch(val) [260][305/500] eta: 0:00:04 time: 0.0213 data_time: 0.0019 memory: 661 2022/08/26 17:49:06 - mmengine - INFO - Epoch(val) [260][310/500] eta: 0:00:04 time: 0.0213 data_time: 0.0019 memory: 661 2022/08/26 17:49:06 - mmengine - INFO - Epoch(val) [260][315/500] eta: 0:00:04 time: 0.0238 data_time: 0.0019 memory: 661 2022/08/26 17:49:06 - mmengine - INFO - Epoch(val) [260][320/500] eta: 0:00:04 time: 0.0234 data_time: 0.0019 memory: 661 2022/08/26 17:49:06 - mmengine - INFO - Epoch(val) [260][325/500] eta: 0:00:04 time: 0.0309 data_time: 0.0020 memory: 661 2022/08/26 17:49:06 - mmengine - INFO - Epoch(val) [260][330/500] eta: 0:00:05 time: 0.0320 data_time: 0.0021 memory: 661 2022/08/26 17:49:06 - mmengine - INFO - Epoch(val) [260][335/500] eta: 0:00:05 time: 0.0233 data_time: 0.0023 memory: 661 2022/08/26 17:49:07 - mmengine - INFO - Epoch(val) [260][340/500] eta: 0:00:04 time: 0.0298 data_time: 0.0023 memory: 661 2022/08/26 17:49:07 - mmengine - INFO - Epoch(val) [260][345/500] eta: 0:00:04 time: 0.0296 data_time: 0.0022 memory: 661 2022/08/26 17:49:07 - mmengine - INFO - Epoch(val) [260][350/500] eta: 0:00:04 time: 0.0280 data_time: 0.0021 memory: 661 2022/08/26 17:49:07 - mmengine - INFO - Epoch(val) [260][355/500] eta: 0:00:04 time: 0.0273 data_time: 0.0021 memory: 661 2022/08/26 17:49:07 - mmengine - INFO - Epoch(val) [260][360/500] eta: 0:00:03 time: 0.0231 data_time: 0.0022 memory: 661 2022/08/26 17:49:07 - mmengine - INFO - Epoch(val) [260][365/500] eta: 0:00:03 time: 0.0233 data_time: 0.0022 memory: 661 2022/08/26 17:49:07 - mmengine - INFO - Epoch(val) [260][370/500] eta: 0:00:02 time: 0.0209 data_time: 0.0021 memory: 661 2022/08/26 17:49:07 - mmengine - INFO - Epoch(val) [260][375/500] eta: 0:00:02 time: 0.0204 data_time: 0.0021 memory: 661 2022/08/26 17:49:08 - mmengine - INFO - Epoch(val) [260][380/500] eta: 0:00:02 time: 0.0237 data_time: 0.0020 memory: 661 2022/08/26 17:49:08 - mmengine - INFO - Epoch(val) [260][385/500] eta: 0:00:02 time: 0.0244 data_time: 0.0019 memory: 661 2022/08/26 17:49:08 - mmengine - INFO - Epoch(val) [260][390/500] eta: 0:00:02 time: 0.0229 data_time: 0.0020 memory: 661 2022/08/26 17:49:08 - mmengine - INFO - Epoch(val) [260][395/500] eta: 0:00:02 time: 0.0227 data_time: 0.0020 memory: 661 2022/08/26 17:49:08 - mmengine - INFO - Epoch(val) [260][400/500] eta: 0:00:02 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 17:49:08 - mmengine - INFO - Epoch(val) [260][405/500] eta: 0:00:02 time: 0.0249 data_time: 0.0023 memory: 661 2022/08/26 17:49:08 - mmengine - INFO - Epoch(val) [260][410/500] eta: 0:00:02 time: 0.0272 data_time: 0.0023 memory: 661 2022/08/26 17:49:08 - mmengine - INFO - Epoch(val) [260][415/500] eta: 0:00:02 time: 0.0250 data_time: 0.0024 memory: 661 2022/08/26 17:49:08 - mmengine - INFO - Epoch(val) [260][420/500] eta: 0:00:01 time: 0.0219 data_time: 0.0027 memory: 661 2022/08/26 17:49:09 - mmengine - INFO - Epoch(val) [260][425/500] eta: 0:00:01 time: 0.0216 data_time: 0.0024 memory: 661 2022/08/26 17:49:09 - mmengine - INFO - Epoch(val) [260][430/500] eta: 0:00:01 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 17:49:09 - mmengine - INFO - Epoch(val) [260][435/500] eta: 0:00:01 time: 0.0269 data_time: 0.0020 memory: 661 2022/08/26 17:49:09 - mmengine - INFO - Epoch(val) [260][440/500] eta: 0:00:01 time: 0.0269 data_time: 0.0020 memory: 661 2022/08/26 17:49:09 - mmengine - INFO - Epoch(val) [260][445/500] eta: 0:00:01 time: 0.0237 data_time: 0.0020 memory: 661 2022/08/26 17:49:09 - mmengine - INFO - Epoch(val) [260][450/500] eta: 0:00:01 time: 0.0241 data_time: 0.0020 memory: 661 2022/08/26 17:49:09 - mmengine - INFO - Epoch(val) [260][455/500] eta: 0:00:01 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 17:49:09 - mmengine - INFO - Epoch(val) [260][460/500] eta: 0:00:00 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 17:49:10 - mmengine - INFO - Epoch(val) [260][465/500] eta: 0:00:00 time: 0.0206 data_time: 0.0021 memory: 661 2022/08/26 17:49:10 - mmengine - INFO - Epoch(val) [260][470/500] eta: 0:00:00 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 17:49:10 - mmengine - INFO - Epoch(val) [260][475/500] eta: 0:00:00 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 17:49:10 - mmengine - INFO - Epoch(val) [260][480/500] eta: 0:00:00 time: 0.0214 data_time: 0.0021 memory: 661 2022/08/26 17:49:10 - mmengine - INFO - Epoch(val) [260][485/500] eta: 0:00:00 time: 0.0228 data_time: 0.0022 memory: 661 2022/08/26 17:49:10 - mmengine - INFO - Epoch(val) [260][490/500] eta: 0:00:00 time: 0.0243 data_time: 0.0021 memory: 661 2022/08/26 17:49:10 - mmengine - INFO - Epoch(val) [260][495/500] eta: 0:00:00 time: 0.0262 data_time: 0.0021 memory: 661 2022/08/26 17:49:10 - mmengine - INFO - Epoch(val) [260][500/500] eta: 0:00:00 time: 0.0305 data_time: 0.0022 memory: 661 2022/08/26 17:49:10 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7675, precision: 0.6766, hmean: 0.7192 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7675, precision: 0.6766, hmean: 0.7192 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7675, precision: 0.6766, hmean: 0.7192 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7675, precision: 0.6766, hmean: 0.7192 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7675, precision: 0.6766, hmean: 0.7192 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7675, precision: 0.6769, hmean: 0.7193 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7675, precision: 0.6818, hmean: 0.7221 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7675, precision: 0.6897, hmean: 0.7265 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7670, precision: 0.7021, hmean: 0.7331 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7655, precision: 0.7217, hmean: 0.7430 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7617, precision: 0.7494, hmean: 0.7555 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7549, precision: 0.7747, hmean: 0.7647 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7294, precision: 0.8106, hmean: 0.7679 2022/08/26 17:49:11 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3789, precision: 0.8883, hmean: 0.5312 2022/08/26 17:49:11 - mmengine - INFO - Epoch(val) [260][500/500] icdar/precision: 0.8106 icdar/recall: 0.7294 icdar/hmean: 0.7679 2022/08/26 17:49:26 - mmengine - INFO - Epoch(train) [261][5/16] lr: 5.9909e-04 eta: 0:00:00 time: 2.5489 data_time: 0.4448 memory: 63381 loss_text: 0.2094 loss_kernel: 0.1105 loss_embedding: 0.0136 loss: 0.3335 2022/08/26 17:49:38 - mmengine - INFO - Epoch(train) [261][10/16] lr: 5.9909e-04 eta: 2:36:22 time: 2.6999 data_time: 0.5078 memory: 63381 loss_text: 0.2232 loss_kernel: 0.1161 loss_embedding: 0.0129 loss: 0.3522 2022/08/26 17:49:49 - mmengine - INFO - Epoch(train) [261][15/16] lr: 5.9909e-04 eta: 2:36:22 time: 2.3609 data_time: 0.1333 memory: 63381 loss_text: 0.2206 loss_kernel: 0.1172 loss_embedding: 0.0126 loss: 0.3504 2022/08/26 17:49:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:50:07 - mmengine - INFO - Epoch(train) [262][5/16] lr: 5.9750e-04 eta: 2:36:22 time: 2.6840 data_time: 0.5050 memory: 63381 loss_text: 0.2100 loss_kernel: 0.1131 loss_embedding: 0.0119 loss: 0.3351 2022/08/26 17:50:18 - mmengine - INFO - Epoch(train) [262][10/16] lr: 5.9750e-04 eta: 2:35:54 time: 2.7019 data_time: 0.5319 memory: 63381 loss_text: 0.2259 loss_kernel: 0.1177 loss_embedding: 0.0111 loss: 0.3547 2022/08/26 17:50:29 - mmengine - INFO - Epoch(train) [262][15/16] lr: 5.9750e-04 eta: 2:35:54 time: 2.2549 data_time: 0.0977 memory: 63381 loss_text: 0.2377 loss_kernel: 0.1228 loss_embedding: 0.0114 loss: 0.3719 2022/08/26 17:50:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:50:46 - mmengine - INFO - Epoch(train) [263][5/16] lr: 5.9591e-04 eta: 2:35:54 time: 2.5889 data_time: 0.4877 memory: 63381 loss_text: 0.2183 loss_kernel: 0.1170 loss_embedding: 0.0135 loss: 0.3488 2022/08/26 17:50:58 - mmengine - INFO - Epoch(train) [263][10/16] lr: 5.9591e-04 eta: 2:35:26 time: 2.7674 data_time: 0.5334 memory: 63381 loss_text: 0.1896 loss_kernel: 0.1056 loss_embedding: 0.0128 loss: 0.3080 2022/08/26 17:51:10 - mmengine - INFO - Epoch(train) [263][15/16] lr: 5.9591e-04 eta: 2:35:26 time: 2.3598 data_time: 0.1000 memory: 63381 loss_text: 0.1931 loss_kernel: 0.1059 loss_embedding: 0.0115 loss: 0.3105 2022/08/26 17:51:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:51:28 - mmengine - INFO - Epoch(train) [264][5/16] lr: 5.9432e-04 eta: 2:35:26 time: 2.7053 data_time: 0.5819 memory: 63381 loss_text: 0.2234 loss_kernel: 0.1189 loss_embedding: 0.0141 loss: 0.3564 2022/08/26 17:51:39 - mmengine - INFO - Epoch(train) [264][10/16] lr: 5.9432e-04 eta: 2:34:58 time: 2.7554 data_time: 0.6044 memory: 63381 loss_text: 0.2228 loss_kernel: 0.1194 loss_embedding: 0.0144 loss: 0.3567 2022/08/26 17:51:50 - mmengine - INFO - Epoch(train) [264][15/16] lr: 5.9432e-04 eta: 2:34:58 time: 2.2415 data_time: 0.0802 memory: 63381 loss_text: 0.2164 loss_kernel: 0.1149 loss_embedding: 0.0131 loss: 0.3444 2022/08/26 17:51:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:52:07 - mmengine - INFO - Epoch(train) [265][5/16] lr: 5.9273e-04 eta: 2:34:58 time: 2.5369 data_time: 0.4546 memory: 63381 loss_text: 0.2118 loss_kernel: 0.1099 loss_embedding: 0.0129 loss: 0.3346 2022/08/26 17:52:19 - mmengine - INFO - Epoch(train) [265][10/16] lr: 5.9273e-04 eta: 2:34:30 time: 2.6852 data_time: 0.5065 memory: 63381 loss_text: 0.1923 loss_kernel: 0.1011 loss_embedding: 0.0116 loss: 0.3050 2022/08/26 17:52:30 - mmengine - INFO - Epoch(train) [265][15/16] lr: 5.9273e-04 eta: 2:34:30 time: 2.3471 data_time: 0.0933 memory: 63381 loss_text: 0.1996 loss_kernel: 0.1071 loss_embedding: 0.0131 loss: 0.3197 2022/08/26 17:52:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:52:47 - mmengine - INFO - Epoch(train) [266][5/16] lr: 5.9114e-04 eta: 2:34:30 time: 2.6253 data_time: 0.4803 memory: 63381 loss_text: 0.2298 loss_kernel: 0.1205 loss_embedding: 0.0126 loss: 0.3629 2022/08/26 17:52:58 - mmengine - INFO - Epoch(train) [266][10/16] lr: 5.9114e-04 eta: 2:34:01 time: 2.6795 data_time: 0.5238 memory: 63381 loss_text: 0.2215 loss_kernel: 0.1136 loss_embedding: 0.0123 loss: 0.3474 2022/08/26 17:53:10 - mmengine - INFO - Epoch(train) [266][15/16] lr: 5.9114e-04 eta: 2:34:01 time: 2.3241 data_time: 0.1015 memory: 63381 loss_text: 0.2292 loss_kernel: 0.1172 loss_embedding: 0.0136 loss: 0.3601 2022/08/26 17:53:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:53:28 - mmengine - INFO - Epoch(train) [267][5/16] lr: 5.8954e-04 eta: 2:34:01 time: 2.7090 data_time: 0.5016 memory: 63381 loss_text: 0.2194 loss_kernel: 0.1147 loss_embedding: 0.0148 loss: 0.3489 2022/08/26 17:53:40 - mmengine - INFO - Epoch(train) [267][10/16] lr: 5.8954e-04 eta: 2:33:34 time: 2.8279 data_time: 0.5637 memory: 63381 loss_text: 0.2063 loss_kernel: 0.1112 loss_embedding: 0.0132 loss: 0.3307 2022/08/26 17:53:52 - mmengine - INFO - Epoch(train) [267][15/16] lr: 5.8954e-04 eta: 2:33:34 time: 2.3745 data_time: 0.1309 memory: 63381 loss_text: 0.2166 loss_kernel: 0.1146 loss_embedding: 0.0119 loss: 0.3431 2022/08/26 17:53:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:54:09 - mmengine - INFO - Epoch(train) [268][5/16] lr: 5.8795e-04 eta: 2:33:34 time: 2.7080 data_time: 0.5527 memory: 63381 loss_text: 0.2020 loss_kernel: 0.1063 loss_embedding: 0.0119 loss: 0.3202 2022/08/26 17:54:21 - mmengine - INFO - Epoch(train) [268][10/16] lr: 5.8795e-04 eta: 2:33:06 time: 2.7494 data_time: 0.5787 memory: 63381 loss_text: 0.2037 loss_kernel: 0.1083 loss_embedding: 0.0116 loss: 0.3236 2022/08/26 17:54:31 - mmengine - INFO - Epoch(train) [268][15/16] lr: 5.8795e-04 eta: 2:33:06 time: 2.2034 data_time: 0.0839 memory: 63381 loss_text: 0.2232 loss_kernel: 0.1156 loss_embedding: 0.0118 loss: 0.3507 2022/08/26 17:54:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:54:49 - mmengine - INFO - Epoch(train) [269][5/16] lr: 5.8636e-04 eta: 2:33:06 time: 2.5594 data_time: 0.4736 memory: 63381 loss_text: 0.2263 loss_kernel: 0.1182 loss_embedding: 0.0103 loss: 0.3547 2022/08/26 17:55:00 - mmengine - INFO - Epoch(train) [269][10/16] lr: 5.8636e-04 eta: 2:32:39 time: 2.7563 data_time: 0.5344 memory: 63381 loss_text: 0.2221 loss_kernel: 0.1213 loss_embedding: 0.0109 loss: 0.3543 2022/08/26 17:55:12 - mmengine - INFO - Epoch(train) [269][15/16] lr: 5.8636e-04 eta: 2:32:39 time: 2.3910 data_time: 0.1279 memory: 63381 loss_text: 0.2087 loss_kernel: 0.1142 loss_embedding: 0.0118 loss: 0.3347 2022/08/26 17:55:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:55:29 - mmengine - INFO - Epoch(train) [270][5/16] lr: 5.8476e-04 eta: 2:32:39 time: 2.6508 data_time: 0.5257 memory: 63381 loss_text: 0.2297 loss_kernel: 0.1231 loss_embedding: 0.0113 loss: 0.3642 2022/08/26 17:55:41 - mmengine - INFO - Epoch(train) [270][10/16] lr: 5.8476e-04 eta: 2:32:11 time: 2.7461 data_time: 0.5685 memory: 63381 loss_text: 0.2238 loss_kernel: 0.1180 loss_embedding: 0.0105 loss: 0.3524 2022/08/26 17:55:52 - mmengine - INFO - Epoch(train) [270][15/16] lr: 5.8476e-04 eta: 2:32:11 time: 2.2899 data_time: 0.1028 memory: 63381 loss_text: 0.2084 loss_kernel: 0.1087 loss_embedding: 0.0116 loss: 0.3287 2022/08/26 17:55:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:56:10 - mmengine - INFO - Epoch(train) [271][5/16] lr: 5.8317e-04 eta: 2:32:11 time: 2.6500 data_time: 0.4903 memory: 63381 loss_text: 0.2236 loss_kernel: 0.1149 loss_embedding: 0.0112 loss: 0.3496 2022/08/26 17:56:22 - mmengine - INFO - Epoch(train) [271][10/16] lr: 5.8317e-04 eta: 2:31:43 time: 2.7465 data_time: 0.5071 memory: 63381 loss_text: 0.2041 loss_kernel: 0.1072 loss_embedding: 0.0119 loss: 0.3232 2022/08/26 17:56:33 - mmengine - INFO - Epoch(train) [271][15/16] lr: 5.8317e-04 eta: 2:31:43 time: 2.2763 data_time: 0.0851 memory: 63381 loss_text: 0.1950 loss_kernel: 0.1050 loss_embedding: 0.0111 loss: 0.3112 2022/08/26 17:56:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:56:50 - mmengine - INFO - Epoch(train) [272][5/16] lr: 5.8157e-04 eta: 2:31:43 time: 2.5936 data_time: 0.4689 memory: 63381 loss_text: 0.1926 loss_kernel: 0.1045 loss_embedding: 0.0108 loss: 0.3079 2022/08/26 17:57:02 - mmengine - INFO - Epoch(train) [272][10/16] lr: 5.8157e-04 eta: 2:31:15 time: 2.7336 data_time: 0.5435 memory: 63381 loss_text: 0.2129 loss_kernel: 0.1153 loss_embedding: 0.0121 loss: 0.3403 2022/08/26 17:57:13 - mmengine - INFO - Epoch(train) [272][15/16] lr: 5.8157e-04 eta: 2:31:15 time: 2.2556 data_time: 0.1084 memory: 63381 loss_text: 0.2164 loss_kernel: 0.1174 loss_embedding: 0.0114 loss: 0.3452 2022/08/26 17:57:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:57:30 - mmengine - INFO - Epoch(train) [273][5/16] lr: 5.7997e-04 eta: 2:31:15 time: 2.5543 data_time: 0.5246 memory: 63381 loss_text: 0.2225 loss_kernel: 0.1182 loss_embedding: 0.0100 loss: 0.3507 2022/08/26 17:57:41 - mmengine - INFO - Epoch(train) [273][10/16] lr: 5.7997e-04 eta: 2:30:46 time: 2.6436 data_time: 0.5298 memory: 63381 loss_text: 0.2254 loss_kernel: 0.1173 loss_embedding: 0.0128 loss: 0.3556 2022/08/26 17:57:53 - mmengine - INFO - Epoch(train) [273][15/16] lr: 5.7997e-04 eta: 2:30:46 time: 2.3323 data_time: 0.0985 memory: 63381 loss_text: 0.2121 loss_kernel: 0.1094 loss_embedding: 0.0150 loss: 0.3365 2022/08/26 17:57:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:58:11 - mmengine - INFO - Epoch(train) [274][5/16] lr: 5.7838e-04 eta: 2:30:46 time: 2.7220 data_time: 0.5219 memory: 63381 loss_text: 0.1979 loss_kernel: 0.1044 loss_embedding: 0.0154 loss: 0.3177 2022/08/26 17:58:22 - mmengine - INFO - Epoch(train) [274][10/16] lr: 5.7838e-04 eta: 2:30:18 time: 2.7375 data_time: 0.5468 memory: 63381 loss_text: 0.2104 loss_kernel: 0.1128 loss_embedding: 0.0149 loss: 0.3381 2022/08/26 17:58:33 - mmengine - INFO - Epoch(train) [274][15/16] lr: 5.7838e-04 eta: 2:30:18 time: 2.2139 data_time: 0.0887 memory: 63381 loss_text: 0.2156 loss_kernel: 0.1162 loss_embedding: 0.0131 loss: 0.3449 2022/08/26 17:58:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:58:51 - mmengine - INFO - Epoch(train) [275][5/16] lr: 5.7678e-04 eta: 2:30:18 time: 2.6281 data_time: 0.4953 memory: 63381 loss_text: 0.2110 loss_kernel: 0.1113 loss_embedding: 0.0130 loss: 0.3354 2022/08/26 17:59:02 - mmengine - INFO - Epoch(train) [275][10/16] lr: 5.7678e-04 eta: 2:29:50 time: 2.7343 data_time: 0.5575 memory: 63381 loss_text: 0.2148 loss_kernel: 0.1117 loss_embedding: 0.0128 loss: 0.3393 2022/08/26 17:59:13 - mmengine - INFO - Epoch(train) [275][15/16] lr: 5.7678e-04 eta: 2:29:50 time: 2.2268 data_time: 0.1113 memory: 63381 loss_text: 0.2480 loss_kernel: 0.1274 loss_embedding: 0.0100 loss: 0.3854 2022/08/26 17:59:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 17:59:31 - mmengine - INFO - Epoch(train) [276][5/16] lr: 5.7518e-04 eta: 2:29:50 time: 2.6507 data_time: 0.5412 memory: 63381 loss_text: 0.2465 loss_kernel: 0.1261 loss_embedding: 0.0110 loss: 0.3836 2022/08/26 17:59:42 - mmengine - INFO - Epoch(train) [276][10/16] lr: 5.7518e-04 eta: 2:29:22 time: 2.7455 data_time: 0.5737 memory: 63381 loss_text: 0.2138 loss_kernel: 0.1109 loss_embedding: 0.0123 loss: 0.3370 2022/08/26 17:59:53 - mmengine - INFO - Epoch(train) [276][15/16] lr: 5.7518e-04 eta: 2:29:22 time: 2.2368 data_time: 0.0863 memory: 63381 loss_text: 0.1997 loss_kernel: 0.1085 loss_embedding: 0.0114 loss: 0.3196 2022/08/26 17:59:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:00:18 - mmengine - INFO - Epoch(train) [277][5/16] lr: 5.7359e-04 eta: 2:29:22 time: 3.3040 data_time: 0.5611 memory: 63381 loss_text: 0.1886 loss_kernel: 0.1006 loss_embedding: 0.0107 loss: 0.2999 2022/08/26 18:00:29 - mmengine - INFO - Epoch(train) [277][10/16] lr: 5.7359e-04 eta: 2:29:02 time: 3.3831 data_time: 0.5999 memory: 63381 loss_text: 0.1927 loss_kernel: 0.1014 loss_embedding: 0.0105 loss: 0.3046 2022/08/26 18:00:40 - mmengine - INFO - Epoch(train) [277][15/16] lr: 5.7359e-04 eta: 2:29:02 time: 2.2204 data_time: 0.0767 memory: 63381 loss_text: 0.2301 loss_kernel: 0.1211 loss_embedding: 0.0120 loss: 0.3632 2022/08/26 18:00:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:00:58 - mmengine - INFO - Epoch(train) [278][5/16] lr: 5.7199e-04 eta: 2:29:02 time: 2.7121 data_time: 0.5891 memory: 63381 loss_text: 0.2430 loss_kernel: 0.1261 loss_embedding: 0.0129 loss: 0.3819 2022/08/26 18:01:10 - mmengine - INFO - Epoch(train) [278][10/16] lr: 5.7199e-04 eta: 2:28:35 time: 2.8760 data_time: 0.6267 memory: 63381 loss_text: 0.2087 loss_kernel: 0.1100 loss_embedding: 0.0129 loss: 0.3316 2022/08/26 18:01:21 - mmengine - INFO - Epoch(train) [278][15/16] lr: 5.7199e-04 eta: 2:28:35 time: 2.3106 data_time: 0.0798 memory: 63381 loss_text: 0.2054 loss_kernel: 0.1099 loss_embedding: 0.0123 loss: 0.3276 2022/08/26 18:01:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:01:39 - mmengine - INFO - Epoch(train) [279][5/16] lr: 5.7039e-04 eta: 2:28:35 time: 2.7153 data_time: 0.5331 memory: 63381 loss_text: 0.1975 loss_kernel: 0.1062 loss_embedding: 0.0121 loss: 0.3159 2022/08/26 18:01:50 - mmengine - INFO - Epoch(train) [279][10/16] lr: 5.7039e-04 eta: 2:28:08 time: 2.7615 data_time: 0.5745 memory: 63381 loss_text: 0.1981 loss_kernel: 0.1078 loss_embedding: 0.0116 loss: 0.3175 2022/08/26 18:02:02 - mmengine - INFO - Epoch(train) [279][15/16] lr: 5.7039e-04 eta: 2:28:08 time: 2.2322 data_time: 0.0799 memory: 63381 loss_text: 0.2089 loss_kernel: 0.1117 loss_embedding: 0.0106 loss: 0.3311 2022/08/26 18:02:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:02:20 - mmengine - INFO - Epoch(train) [280][5/16] lr: 5.6879e-04 eta: 2:28:08 time: 2.7221 data_time: 0.5288 memory: 63381 loss_text: 0.2058 loss_kernel: 0.1081 loss_embedding: 0.0114 loss: 0.3253 2022/08/26 18:02:32 - mmengine - INFO - Epoch(train) [280][10/16] lr: 5.6879e-04 eta: 2:27:41 time: 2.8918 data_time: 0.6018 memory: 63381 loss_text: 0.2045 loss_kernel: 0.1066 loss_embedding: 0.0122 loss: 0.3233 2022/08/26 18:02:43 - mmengine - INFO - Epoch(train) [280][15/16] lr: 5.6879e-04 eta: 2:27:41 time: 2.3319 data_time: 0.1167 memory: 63381 loss_text: 0.2135 loss_kernel: 0.1097 loss_embedding: 0.0107 loss: 0.3338 2022/08/26 18:02:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:02:45 - mmengine - INFO - Saving checkpoint at 280 epochs 2022/08/26 18:02:48 - mmengine - INFO - Epoch(val) [280][5/500] eta: 2:27:41 time: 0.0555 data_time: 0.0149 memory: 39748 2022/08/26 18:02:48 - mmengine - INFO - Epoch(val) [280][10/500] eta: 0:00:24 time: 0.0496 data_time: 0.0145 memory: 661 2022/08/26 18:02:48 - mmengine - INFO - Epoch(val) [280][15/500] eta: 0:00:24 time: 0.0212 data_time: 0.0015 memory: 661 2022/08/26 18:02:48 - mmengine - INFO - Epoch(val) [280][20/500] eta: 0:00:09 time: 0.0203 data_time: 0.0019 memory: 661 2022/08/26 18:02:48 - mmengine - INFO - Epoch(val) [280][25/500] eta: 0:00:09 time: 0.0199 data_time: 0.0018 memory: 661 2022/08/26 18:02:48 - mmengine - INFO - Epoch(val) [280][30/500] eta: 0:00:10 time: 0.0220 data_time: 0.0016 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][35/500] eta: 0:00:10 time: 0.0222 data_time: 0.0016 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][40/500] eta: 0:00:10 time: 0.0222 data_time: 0.0016 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][45/500] eta: 0:00:10 time: 0.0235 data_time: 0.0017 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][50/500] eta: 0:00:09 time: 0.0217 data_time: 0.0018 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][55/500] eta: 0:00:09 time: 0.0220 data_time: 0.0018 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][60/500] eta: 0:00:09 time: 0.0209 data_time: 0.0017 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][65/500] eta: 0:00:09 time: 0.0215 data_time: 0.0016 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][70/500] eta: 0:00:09 time: 0.0227 data_time: 0.0016 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][75/500] eta: 0:00:09 time: 0.0206 data_time: 0.0016 memory: 661 2022/08/26 18:02:49 - mmengine - INFO - Epoch(val) [280][80/500] eta: 0:00:07 time: 0.0189 data_time: 0.0016 memory: 661 2022/08/26 18:02:50 - mmengine - INFO - Epoch(val) [280][85/500] eta: 0:00:07 time: 0.0181 data_time: 0.0016 memory: 661 2022/08/26 18:02:50 - mmengine - INFO - Epoch(val) [280][90/500] eta: 0:00:09 time: 0.0221 data_time: 0.0016 memory: 661 2022/08/26 18:02:50 - mmengine - INFO - Epoch(val) [280][95/500] eta: 0:00:09 time: 0.0234 data_time: 0.0016 memory: 661 2022/08/26 18:02:50 - mmengine - INFO - Epoch(val) [280][100/500] eta: 0:00:08 time: 0.0200 data_time: 0.0016 memory: 661 2022/08/26 18:02:50 - mmengine - INFO - Epoch(val) [280][105/500] eta: 0:00:08 time: 0.0201 data_time: 0.0018 memory: 661 2022/08/26 18:02:50 - mmengine - INFO - Epoch(val) [280][110/500] eta: 0:00:07 time: 0.0200 data_time: 0.0017 memory: 661 2022/08/26 18:02:50 - mmengine - INFO - Epoch(val) [280][115/500] eta: 0:00:07 time: 0.0209 data_time: 0.0020 memory: 661 2022/08/26 18:02:50 - mmengine - INFO - Epoch(val) [280][120/500] eta: 0:00:08 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 18:02:50 - mmengine - INFO - Epoch(val) [280][125/500] eta: 0:00:08 time: 0.0201 data_time: 0.0016 memory: 661 2022/08/26 18:02:51 - mmengine - INFO - Epoch(val) [280][130/500] eta: 0:00:07 time: 0.0198 data_time: 0.0017 memory: 661 2022/08/26 18:02:51 - mmengine - INFO - Epoch(val) [280][135/500] eta: 0:00:07 time: 0.0207 data_time: 0.0019 memory: 661 2022/08/26 18:02:51 - mmengine - INFO - Epoch(val) [280][140/500] eta: 0:00:07 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 18:02:51 - mmengine - INFO - Epoch(val) [280][145/500] eta: 0:00:07 time: 0.0234 data_time: 0.0020 memory: 661 2022/08/26 18:02:51 - mmengine - INFO - Epoch(val) [280][150/500] eta: 0:00:08 time: 0.0242 data_time: 0.0020 memory: 661 2022/08/26 18:02:51 - mmengine - INFO - Epoch(val) [280][155/500] eta: 0:00:08 time: 0.0267 data_time: 0.0020 memory: 661 2022/08/26 18:02:51 - mmengine - INFO - Epoch(val) [280][160/500] eta: 0:00:08 time: 0.0263 data_time: 0.0020 memory: 661 2022/08/26 18:02:51 - mmengine - INFO - Epoch(val) [280][165/500] eta: 0:00:08 time: 0.0240 data_time: 0.0021 memory: 661 2022/08/26 18:02:51 - mmengine - INFO - Epoch(val) [280][170/500] eta: 0:00:08 time: 0.0245 data_time: 0.0020 memory: 661 2022/08/26 18:02:52 - mmengine - INFO - Epoch(val) [280][175/500] eta: 0:00:08 time: 0.0225 data_time: 0.0020 memory: 661 2022/08/26 18:02:52 - mmengine - INFO - Epoch(val) [280][180/500] eta: 0:00:07 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 18:02:52 - mmengine - INFO - Epoch(val) [280][185/500] eta: 0:00:07 time: 0.0242 data_time: 0.0019 memory: 661 2022/08/26 18:02:52 - mmengine - INFO - Epoch(val) [280][190/500] eta: 0:00:07 time: 0.0246 data_time: 0.0019 memory: 661 2022/08/26 18:02:52 - mmengine - INFO - Epoch(val) [280][195/500] eta: 0:00:07 time: 0.0226 data_time: 0.0020 memory: 661 2022/08/26 18:02:52 - mmengine - INFO - Epoch(val) [280][200/500] eta: 0:00:07 time: 0.0266 data_time: 0.0020 memory: 661 2022/08/26 18:02:52 - mmengine - INFO - Epoch(val) [280][205/500] eta: 0:00:07 time: 0.0264 data_time: 0.0021 memory: 661 2022/08/26 18:02:52 - mmengine - INFO - Epoch(val) [280][210/500] eta: 0:00:06 time: 0.0208 data_time: 0.0020 memory: 661 2022/08/26 18:02:53 - mmengine - INFO - Epoch(val) [280][215/500] eta: 0:00:06 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 18:02:53 - mmengine - INFO - Epoch(val) [280][220/500] eta: 0:00:06 time: 0.0227 data_time: 0.0019 memory: 661 2022/08/26 18:02:53 - mmengine - INFO - Epoch(val) [280][225/500] eta: 0:00:06 time: 0.0236 data_time: 0.0019 memory: 661 2022/08/26 18:02:53 - mmengine - INFO - Epoch(val) [280][230/500] eta: 0:00:05 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 18:02:53 - mmengine - INFO - Epoch(val) [280][235/500] eta: 0:00:05 time: 0.0222 data_time: 0.0020 memory: 661 2022/08/26 18:02:53 - mmengine - INFO - Epoch(val) [280][240/500] eta: 0:00:06 time: 0.0237 data_time: 0.0019 memory: 661 2022/08/26 18:02:53 - mmengine - INFO - Epoch(val) [280][245/500] eta: 0:00:06 time: 0.0219 data_time: 0.0019 memory: 661 2022/08/26 18:02:53 - mmengine - INFO - Epoch(val) [280][250/500] eta: 0:00:05 time: 0.0228 data_time: 0.0019 memory: 661 2022/08/26 18:02:53 - mmengine - INFO - Epoch(val) [280][255/500] eta: 0:00:05 time: 0.0228 data_time: 0.0019 memory: 661 2022/08/26 18:02:54 - mmengine - INFO - Epoch(val) [280][260/500] eta: 0:00:05 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 18:02:54 - mmengine - INFO - Epoch(val) [280][265/500] eta: 0:00:05 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 18:02:54 - mmengine - INFO - Epoch(val) [280][270/500] eta: 0:00:05 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 18:02:54 - mmengine - INFO - Epoch(val) [280][275/500] eta: 0:00:05 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 18:02:54 - mmengine - INFO - Epoch(val) [280][280/500] eta: 0:00:05 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 18:02:54 - mmengine - INFO - Epoch(val) [280][285/500] eta: 0:00:05 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 18:02:54 - mmengine - INFO - Epoch(val) [280][290/500] eta: 0:00:04 time: 0.0233 data_time: 0.0021 memory: 661 2022/08/26 18:02:55 - mmengine - INFO - Epoch(val) [280][295/500] eta: 0:00:04 time: 0.0377 data_time: 0.0026 memory: 661 2022/08/26 18:02:55 - mmengine - INFO - Epoch(val) [280][300/500] eta: 0:00:07 time: 0.0364 data_time: 0.0027 memory: 661 2022/08/26 18:02:55 - mmengine - INFO - Epoch(val) [280][305/500] eta: 0:00:07 time: 0.0219 data_time: 0.0022 memory: 661 2022/08/26 18:02:55 - mmengine - INFO - Epoch(val) [280][310/500] eta: 0:00:04 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 18:02:55 - mmengine - INFO - Epoch(val) [280][315/500] eta: 0:00:04 time: 0.0232 data_time: 0.0019 memory: 661 2022/08/26 18:02:55 - mmengine - INFO - Epoch(val) [280][320/500] eta: 0:00:04 time: 0.0225 data_time: 0.0018 memory: 661 2022/08/26 18:02:55 - mmengine - INFO - Epoch(val) [280][325/500] eta: 0:00:04 time: 0.0291 data_time: 0.0018 memory: 661 2022/08/26 18:02:55 - mmengine - INFO - Epoch(val) [280][330/500] eta: 0:00:05 time: 0.0301 data_time: 0.0018 memory: 661 2022/08/26 18:02:55 - mmengine - INFO - Epoch(val) [280][335/500] eta: 0:00:05 time: 0.0209 data_time: 0.0018 memory: 661 2022/08/26 18:02:56 - mmengine - INFO - Epoch(val) [280][340/500] eta: 0:00:03 time: 0.0235 data_time: 0.0018 memory: 661 2022/08/26 18:02:56 - mmengine - INFO - Epoch(val) [280][345/500] eta: 0:00:03 time: 0.0244 data_time: 0.0021 memory: 661 2022/08/26 18:02:56 - mmengine - INFO - Epoch(val) [280][350/500] eta: 0:00:03 time: 0.0246 data_time: 0.0021 memory: 661 2022/08/26 18:02:56 - mmengine - INFO - Epoch(val) [280][355/500] eta: 0:00:03 time: 0.0239 data_time: 0.0019 memory: 661 2022/08/26 18:02:56 - mmengine - INFO - Epoch(val) [280][360/500] eta: 0:00:02 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 18:02:56 - mmengine - INFO - Epoch(val) [280][365/500] eta: 0:00:02 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 18:02:56 - mmengine - INFO - Epoch(val) [280][370/500] eta: 0:00:02 time: 0.0209 data_time: 0.0020 memory: 661 2022/08/26 18:02:56 - mmengine - INFO - Epoch(val) [280][375/500] eta: 0:00:02 time: 0.0202 data_time: 0.0020 memory: 661 2022/08/26 18:02:56 - mmengine - INFO - Epoch(val) [280][380/500] eta: 0:00:02 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 18:02:57 - mmengine - INFO - Epoch(val) [280][385/500] eta: 0:00:02 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 18:02:57 - mmengine - INFO - Epoch(val) [280][390/500] eta: 0:00:02 time: 0.0211 data_time: 0.0020 memory: 661 2022/08/26 18:02:57 - mmengine - INFO - Epoch(val) [280][395/500] eta: 0:00:02 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 18:02:57 - mmengine - INFO - Epoch(val) [280][400/500] eta: 0:00:02 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 18:02:57 - mmengine - INFO - Epoch(val) [280][405/500] eta: 0:00:02 time: 0.0220 data_time: 0.0019 memory: 661 2022/08/26 18:02:57 - mmengine - INFO - Epoch(val) [280][410/500] eta: 0:00:02 time: 0.0235 data_time: 0.0019 memory: 661 2022/08/26 18:02:57 - mmengine - INFO - Epoch(val) [280][415/500] eta: 0:00:02 time: 0.0226 data_time: 0.0019 memory: 661 2022/08/26 18:02:57 - mmengine - INFO - Epoch(val) [280][420/500] eta: 0:00:01 time: 0.0200 data_time: 0.0019 memory: 661 2022/08/26 18:02:57 - mmengine - INFO - Epoch(val) [280][425/500] eta: 0:00:01 time: 0.0200 data_time: 0.0020 memory: 661 2022/08/26 18:02:58 - mmengine - INFO - Epoch(val) [280][430/500] eta: 0:00:01 time: 0.0210 data_time: 0.0020 memory: 661 2022/08/26 18:02:58 - mmengine - INFO - Epoch(val) [280][435/500] eta: 0:00:01 time: 0.0205 data_time: 0.0019 memory: 661 2022/08/26 18:02:58 - mmengine - INFO - Epoch(val) [280][440/500] eta: 0:00:01 time: 0.0207 data_time: 0.0019 memory: 661 2022/08/26 18:02:58 - mmengine - INFO - Epoch(val) [280][445/500] eta: 0:00:01 time: 0.0223 data_time: 0.0019 memory: 661 2022/08/26 18:02:58 - mmengine - INFO - Epoch(val) [280][450/500] eta: 0:00:01 time: 0.0227 data_time: 0.0019 memory: 661 2022/08/26 18:02:58 - mmengine - INFO - Epoch(val) [280][455/500] eta: 0:00:01 time: 0.0224 data_time: 0.0019 memory: 661 2022/08/26 18:02:58 - mmengine - INFO - Epoch(val) [280][460/500] eta: 0:00:00 time: 0.0207 data_time: 0.0019 memory: 661 2022/08/26 18:02:58 - mmengine - INFO - Epoch(val) [280][465/500] eta: 0:00:00 time: 0.0195 data_time: 0.0019 memory: 661 2022/08/26 18:02:58 - mmengine - INFO - Epoch(val) [280][470/500] eta: 0:00:00 time: 0.0205 data_time: 0.0019 memory: 661 2022/08/26 18:02:59 - mmengine - INFO - Epoch(val) [280][475/500] eta: 0:00:00 time: 0.0268 data_time: 0.0019 memory: 661 2022/08/26 18:02:59 - mmengine - INFO - Epoch(val) [280][480/500] eta: 0:00:00 time: 0.0277 data_time: 0.0022 memory: 661 2022/08/26 18:02:59 - mmengine - INFO - Epoch(val) [280][485/500] eta: 0:00:00 time: 0.0219 data_time: 0.0022 memory: 661 2022/08/26 18:02:59 - mmengine - INFO - Epoch(val) [280][490/500] eta: 0:00:00 time: 0.0223 data_time: 0.0020 memory: 661 2022/08/26 18:02:59 - mmengine - INFO - Epoch(val) [280][495/500] eta: 0:00:00 time: 0.0234 data_time: 0.0022 memory: 661 2022/08/26 18:02:59 - mmengine - INFO - Epoch(val) [280][500/500] eta: 0:00:00 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 18:02:59 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7366, precision: 0.7559, hmean: 0.7462 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7366, precision: 0.7559, hmean: 0.7462 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7366, precision: 0.7559, hmean: 0.7462 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7366, precision: 0.7559, hmean: 0.7462 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7366, precision: 0.7559, hmean: 0.7462 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7366, precision: 0.7567, hmean: 0.7465 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7366, precision: 0.7635, hmean: 0.7498 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7366, precision: 0.7743, hmean: 0.7550 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7357, precision: 0.7852, hmean: 0.7596 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7328, precision: 0.7956, hmean: 0.7629 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7289, precision: 0.8135, hmean: 0.7689 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7150, precision: 0.8315, hmean: 0.7688 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6654, precision: 0.8627, hmean: 0.7513 2022/08/26 18:02:59 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.2619, precision: 0.9128, hmean: 0.4070 2022/08/26 18:02:59 - mmengine - INFO - Epoch(val) [280][500/500] icdar/precision: 0.8135 icdar/recall: 0.7289 icdar/hmean: 0.7689 2022/08/26 18:03:16 - mmengine - INFO - Epoch(train) [281][5/16] lr: 5.6719e-04 eta: 0:00:00 time: 2.6595 data_time: 0.5160 memory: 63381 loss_text: 0.2085 loss_kernel: 0.1111 loss_embedding: 0.0105 loss: 0.3301 2022/08/26 18:03:27 - mmengine - INFO - Epoch(train) [281][10/16] lr: 5.6719e-04 eta: 2:27:14 time: 2.7716 data_time: 0.5491 memory: 63381 loss_text: 0.1946 loss_kernel: 0.1055 loss_embedding: 0.0109 loss: 0.3110 2022/08/26 18:03:38 - mmengine - INFO - Epoch(train) [281][15/16] lr: 5.6719e-04 eta: 2:27:14 time: 2.2660 data_time: 0.0804 memory: 63381 loss_text: 0.2123 loss_kernel: 0.1128 loss_embedding: 0.0112 loss: 0.3363 2022/08/26 18:03:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:03:57 - mmengine - INFO - Epoch(train) [282][5/16] lr: 5.6559e-04 eta: 2:27:14 time: 2.7357 data_time: 0.5419 memory: 63381 loss_text: 0.2015 loss_kernel: 0.1067 loss_embedding: 0.0122 loss: 0.3204 2022/08/26 18:04:08 - mmengine - INFO - Epoch(train) [282][10/16] lr: 5.6559e-04 eta: 2:26:47 time: 2.8513 data_time: 0.5830 memory: 63381 loss_text: 0.2030 loss_kernel: 0.1059 loss_embedding: 0.0105 loss: 0.3194 2022/08/26 18:04:20 - mmengine - INFO - Epoch(train) [282][15/16] lr: 5.6559e-04 eta: 2:26:47 time: 2.2999 data_time: 0.0856 memory: 63381 loss_text: 0.2279 loss_kernel: 0.1214 loss_embedding: 0.0117 loss: 0.3611 2022/08/26 18:04:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:04:38 - mmengine - INFO - Epoch(train) [283][5/16] lr: 5.6399e-04 eta: 2:26:47 time: 2.7553 data_time: 0.5639 memory: 63381 loss_text: 0.2213 loss_kernel: 0.1200 loss_embedding: 0.0112 loss: 0.3525 2022/08/26 18:04:49 - mmengine - INFO - Epoch(train) [283][10/16] lr: 5.6399e-04 eta: 2:26:20 time: 2.7965 data_time: 0.5981 memory: 63381 loss_text: 0.2078 loss_kernel: 0.1107 loss_embedding: 0.0096 loss: 0.3281 2022/08/26 18:05:01 - mmengine - INFO - Epoch(train) [283][15/16] lr: 5.6399e-04 eta: 2:26:20 time: 2.2683 data_time: 0.0781 memory: 63381 loss_text: 0.2225 loss_kernel: 0.1178 loss_embedding: 0.0106 loss: 0.3509 2022/08/26 18:05:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:05:19 - mmengine - INFO - Epoch(train) [284][5/16] lr: 5.6239e-04 eta: 2:26:20 time: 2.7741 data_time: 0.5647 memory: 63381 loss_text: 0.2094 loss_kernel: 0.1124 loss_embedding: 0.0109 loss: 0.3327 2022/08/26 18:05:32 - mmengine - INFO - Epoch(train) [284][10/16] lr: 5.6239e-04 eta: 2:25:54 time: 2.9317 data_time: 0.6515 memory: 63381 loss_text: 0.2074 loss_kernel: 0.1104 loss_embedding: 0.0090 loss: 0.3267 2022/08/26 18:05:43 - mmengine - INFO - Epoch(train) [284][15/16] lr: 5.6239e-04 eta: 2:25:54 time: 2.3342 data_time: 0.1289 memory: 63381 loss_text: 0.1991 loss_kernel: 0.1067 loss_embedding: 0.0104 loss: 0.3163 2022/08/26 18:05:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:06:01 - mmengine - INFO - Epoch(train) [285][5/16] lr: 5.6078e-04 eta: 2:25:54 time: 2.6759 data_time: 0.5648 memory: 63381 loss_text: 0.1935 loss_kernel: 0.1045 loss_embedding: 0.0118 loss: 0.3098 2022/08/26 18:06:12 - mmengine - INFO - Epoch(train) [285][10/16] lr: 5.6078e-04 eta: 2:25:26 time: 2.7259 data_time: 0.5753 memory: 63381 loss_text: 0.1938 loss_kernel: 0.1055 loss_embedding: 0.0116 loss: 0.3109 2022/08/26 18:06:23 - mmengine - INFO - Epoch(train) [285][15/16] lr: 5.6078e-04 eta: 2:25:26 time: 2.2127 data_time: 0.0711 memory: 63381 loss_text: 0.2025 loss_kernel: 0.1077 loss_embedding: 0.0130 loss: 0.3232 2022/08/26 18:06:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:06:41 - mmengine - INFO - Epoch(train) [286][5/16] lr: 5.5918e-04 eta: 2:25:26 time: 2.6906 data_time: 0.5947 memory: 63381 loss_text: 0.2105 loss_kernel: 0.1110 loss_embedding: 0.0117 loss: 0.3331 2022/08/26 18:06:53 - mmengine - INFO - Epoch(train) [286][10/16] lr: 5.5918e-04 eta: 2:24:59 time: 2.8931 data_time: 0.6452 memory: 63381 loss_text: 0.2046 loss_kernel: 0.1083 loss_embedding: 0.0113 loss: 0.3242 2022/08/26 18:07:04 - mmengine - INFO - Epoch(train) [286][15/16] lr: 5.5918e-04 eta: 2:24:59 time: 2.2698 data_time: 0.0930 memory: 63381 loss_text: 0.1952 loss_kernel: 0.1054 loss_embedding: 0.0106 loss: 0.3111 2022/08/26 18:07:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:07:21 - mmengine - INFO - Epoch(train) [287][5/16] lr: 5.5758e-04 eta: 2:24:59 time: 2.6016 data_time: 0.5700 memory: 63381 loss_text: 0.2052 loss_kernel: 0.1132 loss_embedding: 0.0118 loss: 0.3302 2022/08/26 18:07:33 - mmengine - INFO - Epoch(train) [287][10/16] lr: 5.5758e-04 eta: 2:24:32 time: 2.7577 data_time: 0.6165 memory: 63381 loss_text: 0.2210 loss_kernel: 0.1174 loss_embedding: 0.0121 loss: 0.3506 2022/08/26 18:07:44 - mmengine - INFO - Epoch(train) [287][15/16] lr: 5.5758e-04 eta: 2:24:32 time: 2.2468 data_time: 0.1070 memory: 63381 loss_text: 0.2166 loss_kernel: 0.1105 loss_embedding: 0.0124 loss: 0.3395 2022/08/26 18:07:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:08:01 - mmengine - INFO - Epoch(train) [288][5/16] lr: 5.5597e-04 eta: 2:24:32 time: 2.6064 data_time: 0.5208 memory: 63381 loss_text: 0.1977 loss_kernel: 0.1049 loss_embedding: 0.0112 loss: 0.3138 2022/08/26 18:08:13 - mmengine - INFO - Epoch(train) [288][10/16] lr: 5.5597e-04 eta: 2:24:04 time: 2.7554 data_time: 0.5528 memory: 63381 loss_text: 0.1910 loss_kernel: 0.1030 loss_embedding: 0.0120 loss: 0.3061 2022/08/26 18:08:24 - mmengine - INFO - Epoch(train) [288][15/16] lr: 5.5597e-04 eta: 2:24:04 time: 2.2593 data_time: 0.0735 memory: 63381 loss_text: 0.2018 loss_kernel: 0.1076 loss_embedding: 0.0121 loss: 0.3215 2022/08/26 18:08:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:08:42 - mmengine - INFO - Epoch(train) [289][5/16] lr: 5.5437e-04 eta: 2:24:04 time: 2.6834 data_time: 0.5393 memory: 63381 loss_text: 0.2255 loss_kernel: 0.1186 loss_embedding: 0.0110 loss: 0.3551 2022/08/26 18:08:54 - mmengine - INFO - Epoch(train) [289][10/16] lr: 5.5437e-04 eta: 2:23:36 time: 2.7697 data_time: 0.5539 memory: 63381 loss_text: 0.1995 loss_kernel: 0.1064 loss_embedding: 0.0108 loss: 0.3167 2022/08/26 18:09:05 - mmengine - INFO - Epoch(train) [289][15/16] lr: 5.5437e-04 eta: 2:23:36 time: 2.2857 data_time: 0.0765 memory: 63381 loss_text: 0.1961 loss_kernel: 0.1054 loss_embedding: 0.0112 loss: 0.3128 2022/08/26 18:09:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:09:22 - mmengine - INFO - Epoch(train) [290][5/16] lr: 5.5277e-04 eta: 2:23:36 time: 2.5527 data_time: 0.4935 memory: 63381 loss_text: 0.2302 loss_kernel: 0.1223 loss_embedding: 0.0120 loss: 0.3646 2022/08/26 18:09:34 - mmengine - INFO - Epoch(train) [290][10/16] lr: 5.5277e-04 eta: 2:23:08 time: 2.7143 data_time: 0.5630 memory: 63381 loss_text: 0.2353 loss_kernel: 0.1252 loss_embedding: 0.0119 loss: 0.3724 2022/08/26 18:09:45 - mmengine - INFO - Epoch(train) [290][15/16] lr: 5.5277e-04 eta: 2:23:08 time: 2.3259 data_time: 0.1089 memory: 63381 loss_text: 0.2185 loss_kernel: 0.1181 loss_embedding: 0.0114 loss: 0.3479 2022/08/26 18:09:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:10:03 - mmengine - INFO - Epoch(train) [291][5/16] lr: 5.5116e-04 eta: 2:23:08 time: 2.6798 data_time: 0.5232 memory: 63381 loss_text: 0.2068 loss_kernel: 0.1114 loss_embedding: 0.0126 loss: 0.3308 2022/08/26 18:10:15 - mmengine - INFO - Epoch(train) [291][10/16] lr: 5.5116e-04 eta: 2:22:40 time: 2.7282 data_time: 0.5436 memory: 63381 loss_text: 0.2180 loss_kernel: 0.1176 loss_embedding: 0.0102 loss: 0.3459 2022/08/26 18:10:27 - mmengine - INFO - Epoch(train) [291][15/16] lr: 5.5116e-04 eta: 2:22:40 time: 2.3368 data_time: 0.0813 memory: 63381 loss_text: 0.2096 loss_kernel: 0.1126 loss_embedding: 0.0106 loss: 0.3328 2022/08/26 18:10:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:10:44 - mmengine - INFO - Epoch(train) [292][5/16] lr: 5.4956e-04 eta: 2:22:40 time: 2.6640 data_time: 0.5424 memory: 63381 loss_text: 0.1890 loss_kernel: 0.1025 loss_embedding: 0.0113 loss: 0.3028 2022/08/26 18:10:56 - mmengine - INFO - Epoch(train) [292][10/16] lr: 5.4956e-04 eta: 2:22:12 time: 2.7331 data_time: 0.5617 memory: 63381 loss_text: 0.2053 loss_kernel: 0.1100 loss_embedding: 0.0119 loss: 0.3272 2022/08/26 18:11:07 - mmengine - INFO - Epoch(train) [292][15/16] lr: 5.4956e-04 eta: 2:22:12 time: 2.2806 data_time: 0.0796 memory: 63381 loss_text: 0.2269 loss_kernel: 0.1208 loss_embedding: 0.0121 loss: 0.3597 2022/08/26 18:11:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:11:24 - mmengine - INFO - Epoch(train) [293][5/16] lr: 5.4795e-04 eta: 2:22:12 time: 2.5961 data_time: 0.4914 memory: 63381 loss_text: 0.2157 loss_kernel: 0.1175 loss_embedding: 0.0118 loss: 0.3450 2022/08/26 18:11:36 - mmengine - INFO - Epoch(train) [293][10/16] lr: 5.4795e-04 eta: 2:21:44 time: 2.7251 data_time: 0.5129 memory: 63381 loss_text: 0.2001 loss_kernel: 0.1108 loss_embedding: 0.0105 loss: 0.3213 2022/08/26 18:11:47 - mmengine - INFO - Epoch(train) [293][15/16] lr: 5.4795e-04 eta: 2:21:44 time: 2.3409 data_time: 0.0862 memory: 63381 loss_text: 0.2002 loss_kernel: 0.1093 loss_embedding: 0.0118 loss: 0.3212 2022/08/26 18:11:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:12:04 - mmengine - INFO - Epoch(train) [294][5/16] lr: 5.4634e-04 eta: 2:21:44 time: 2.5895 data_time: 0.4783 memory: 63381 loss_text: 0.2121 loss_kernel: 0.1135 loss_embedding: 0.0127 loss: 0.3383 2022/08/26 18:12:16 - mmengine - INFO - Epoch(train) [294][10/16] lr: 5.4634e-04 eta: 2:21:15 time: 2.6491 data_time: 0.4901 memory: 63381 loss_text: 0.1925 loss_kernel: 0.1044 loss_embedding: 0.0120 loss: 0.3089 2022/08/26 18:12:27 - mmengine - INFO - Epoch(train) [294][15/16] lr: 5.4634e-04 eta: 2:21:15 time: 2.3102 data_time: 0.0781 memory: 63381 loss_text: 0.1934 loss_kernel: 0.1048 loss_embedding: 0.0111 loss: 0.3094 2022/08/26 18:12:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:12:44 - mmengine - INFO - Epoch(train) [295][5/16] lr: 5.4474e-04 eta: 2:21:15 time: 2.5778 data_time: 0.4540 memory: 63381 loss_text: 0.1786 loss_kernel: 0.0985 loss_embedding: 0.0099 loss: 0.2870 2022/08/26 18:12:56 - mmengine - INFO - Epoch(train) [295][10/16] lr: 5.4474e-04 eta: 2:20:47 time: 2.7128 data_time: 0.5145 memory: 63381 loss_text: 0.1982 loss_kernel: 0.1063 loss_embedding: 0.0104 loss: 0.3149 2022/08/26 18:13:07 - mmengine - INFO - Epoch(train) [295][15/16] lr: 5.4474e-04 eta: 2:20:47 time: 2.3268 data_time: 0.1032 memory: 63381 loss_text: 0.2336 loss_kernel: 0.1232 loss_embedding: 0.0110 loss: 0.3677 2022/08/26 18:13:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:13:24 - mmengine - INFO - Epoch(train) [296][5/16] lr: 5.4313e-04 eta: 2:20:47 time: 2.5966 data_time: 0.4928 memory: 63381 loss_text: 0.2353 loss_kernel: 0.1272 loss_embedding: 0.0104 loss: 0.3729 2022/08/26 18:13:36 - mmengine - INFO - Epoch(train) [296][10/16] lr: 5.4313e-04 eta: 2:20:19 time: 2.7376 data_time: 0.5199 memory: 63381 loss_text: 0.2167 loss_kernel: 0.1165 loss_embedding: 0.0108 loss: 0.3439 2022/08/26 18:13:48 - mmengine - INFO - Epoch(train) [296][15/16] lr: 5.4313e-04 eta: 2:20:19 time: 2.4393 data_time: 0.1158 memory: 63381 loss_text: 0.1947 loss_kernel: 0.1043 loss_embedding: 0.0113 loss: 0.3103 2022/08/26 18:13:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:14:05 - mmengine - INFO - Epoch(train) [297][5/16] lr: 5.4152e-04 eta: 2:20:19 time: 2.6441 data_time: 0.4895 memory: 63381 loss_text: 0.1811 loss_kernel: 0.0987 loss_embedding: 0.0104 loss: 0.2902 2022/08/26 18:14:17 - mmengine - INFO - Epoch(train) [297][10/16] lr: 5.4152e-04 eta: 2:19:51 time: 2.7188 data_time: 0.5056 memory: 63381 loss_text: 0.2165 loss_kernel: 0.1150 loss_embedding: 0.0099 loss: 0.3415 2022/08/26 18:14:29 - mmengine - INFO - Epoch(train) [297][15/16] lr: 5.4152e-04 eta: 2:19:51 time: 2.3751 data_time: 0.0944 memory: 63381 loss_text: 0.2121 loss_kernel: 0.1140 loss_embedding: 0.0100 loss: 0.3361 2022/08/26 18:14:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:14:45 - mmengine - INFO - Epoch(train) [298][5/16] lr: 5.3991e-04 eta: 2:19:51 time: 2.5360 data_time: 0.4546 memory: 63381 loss_text: 0.2006 loss_kernel: 0.1072 loss_embedding: 0.0113 loss: 0.3191 2022/08/26 18:14:57 - mmengine - INFO - Epoch(train) [298][10/16] lr: 5.3991e-04 eta: 2:19:22 time: 2.6616 data_time: 0.4711 memory: 63381 loss_text: 0.1892 loss_kernel: 0.1013 loss_embedding: 0.0113 loss: 0.3019 2022/08/26 18:15:08 - mmengine - INFO - Epoch(train) [298][15/16] lr: 5.3991e-04 eta: 2:19:22 time: 2.3413 data_time: 0.0847 memory: 63381 loss_text: 0.2082 loss_kernel: 0.1101 loss_embedding: 0.0095 loss: 0.3277 2022/08/26 18:15:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:15:26 - mmengine - INFO - Epoch(train) [299][5/16] lr: 5.3830e-04 eta: 2:19:22 time: 2.6886 data_time: 0.5500 memory: 63381 loss_text: 0.2044 loss_kernel: 0.1068 loss_embedding: 0.0100 loss: 0.3213 2022/08/26 18:15:37 - mmengine - INFO - Epoch(train) [299][10/16] lr: 5.3830e-04 eta: 2:18:54 time: 2.7612 data_time: 0.5738 memory: 63381 loss_text: 0.2005 loss_kernel: 0.1047 loss_embedding: 0.0110 loss: 0.3162 2022/08/26 18:15:49 - mmengine - INFO - Epoch(train) [299][15/16] lr: 5.3830e-04 eta: 2:18:54 time: 2.2896 data_time: 0.0871 memory: 63381 loss_text: 0.2116 loss_kernel: 0.1093 loss_embedding: 0.0112 loss: 0.3321 2022/08/26 18:15:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:16:07 - mmengine - INFO - Epoch(train) [300][5/16] lr: 5.3669e-04 eta: 2:18:54 time: 2.7637 data_time: 0.5688 memory: 63381 loss_text: 0.2064 loss_kernel: 0.1072 loss_embedding: 0.0118 loss: 0.3254 2022/08/26 18:16:18 - mmengine - INFO - Epoch(train) [300][10/16] lr: 5.3669e-04 eta: 2:18:27 time: 2.8217 data_time: 0.6005 memory: 63381 loss_text: 0.2136 loss_kernel: 0.1128 loss_embedding: 0.0107 loss: 0.3371 2022/08/26 18:16:30 - mmengine - INFO - Epoch(train) [300][15/16] lr: 5.3669e-04 eta: 2:18:27 time: 2.2676 data_time: 0.0766 memory: 63381 loss_text: 0.2299 loss_kernel: 0.1215 loss_embedding: 0.0100 loss: 0.3614 2022/08/26 18:16:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:16:31 - mmengine - INFO - Saving checkpoint at 300 epochs 2022/08/26 18:16:35 - mmengine - INFO - Epoch(val) [300][5/500] eta: 2:18:27 time: 0.0467 data_time: 0.0137 memory: 39748 2022/08/26 18:16:35 - mmengine - INFO - Epoch(val) [300][10/500] eta: 0:00:24 time: 0.0490 data_time: 0.0135 memory: 661 2022/08/26 18:16:35 - mmengine - INFO - Epoch(val) [300][15/500] eta: 0:00:24 time: 0.0235 data_time: 0.0019 memory: 661 2022/08/26 18:16:35 - mmengine - INFO - Epoch(val) [300][20/500] eta: 0:00:10 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 18:16:35 - mmengine - INFO - Epoch(val) [300][25/500] eta: 0:00:10 time: 0.0205 data_time: 0.0019 memory: 661 2022/08/26 18:16:35 - mmengine - INFO - Epoch(val) [300][30/500] eta: 0:00:10 time: 0.0232 data_time: 0.0019 memory: 661 2022/08/26 18:16:36 - mmengine - INFO - Epoch(val) [300][35/500] eta: 0:00:10 time: 0.0236 data_time: 0.0021 memory: 661 2022/08/26 18:16:36 - mmengine - INFO - Epoch(val) [300][40/500] eta: 0:00:11 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 18:16:36 - mmengine - INFO - Epoch(val) [300][45/500] eta: 0:00:11 time: 0.0247 data_time: 0.0019 memory: 661 2022/08/26 18:16:36 - mmengine - INFO - Epoch(val) [300][50/500] eta: 0:00:09 time: 0.0218 data_time: 0.0019 memory: 661 2022/08/26 18:16:36 - mmengine - INFO - Epoch(val) [300][55/500] eta: 0:00:09 time: 0.0221 data_time: 0.0018 memory: 661 2022/08/26 18:16:36 - mmengine - INFO - Epoch(val) [300][60/500] eta: 0:00:09 time: 0.0210 data_time: 0.0018 memory: 661 2022/08/26 18:16:36 - mmengine - INFO - Epoch(val) [300][65/500] eta: 0:00:09 time: 0.0220 data_time: 0.0018 memory: 661 2022/08/26 18:16:36 - mmengine - INFO - Epoch(val) [300][70/500] eta: 0:00:10 time: 0.0233 data_time: 0.0018 memory: 661 2022/08/26 18:16:36 - mmengine - INFO - Epoch(val) [300][75/500] eta: 0:00:10 time: 0.0210 data_time: 0.0018 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][80/500] eta: 0:00:08 time: 0.0193 data_time: 0.0018 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][85/500] eta: 0:00:08 time: 0.0186 data_time: 0.0018 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][90/500] eta: 0:00:09 time: 0.0220 data_time: 0.0018 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][95/500] eta: 0:00:09 time: 0.0235 data_time: 0.0018 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][100/500] eta: 0:00:08 time: 0.0208 data_time: 0.0018 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][105/500] eta: 0:00:08 time: 0.0209 data_time: 0.0018 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][110/500] eta: 0:00:08 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][115/500] eta: 0:00:08 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][120/500] eta: 0:00:08 time: 0.0236 data_time: 0.0021 memory: 661 2022/08/26 18:16:37 - mmengine - INFO - Epoch(val) [300][125/500] eta: 0:00:08 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 18:16:38 - mmengine - INFO - Epoch(val) [300][130/500] eta: 0:00:07 time: 0.0211 data_time: 0.0019 memory: 661 2022/08/26 18:16:38 - mmengine - INFO - Epoch(val) [300][135/500] eta: 0:00:07 time: 0.0203 data_time: 0.0018 memory: 661 2022/08/26 18:16:38 - mmengine - INFO - Epoch(val) [300][140/500] eta: 0:00:07 time: 0.0205 data_time: 0.0018 memory: 661 2022/08/26 18:16:38 - mmengine - INFO - Epoch(val) [300][145/500] eta: 0:00:07 time: 0.0216 data_time: 0.0018 memory: 661 2022/08/26 18:16:38 - mmengine - INFO - Epoch(val) [300][150/500] eta: 0:00:07 time: 0.0222 data_time: 0.0019 memory: 661 2022/08/26 18:16:38 - mmengine - INFO - Epoch(val) [300][155/500] eta: 0:00:07 time: 0.0261 data_time: 0.0019 memory: 661 2022/08/26 18:16:38 - mmengine - INFO - Epoch(val) [300][160/500] eta: 0:00:08 time: 0.0264 data_time: 0.0020 memory: 661 2022/08/26 18:16:38 - mmengine - INFO - Epoch(val) [300][165/500] eta: 0:00:08 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 18:16:39 - mmengine - INFO - Epoch(val) [300][170/500] eta: 0:00:08 time: 0.0258 data_time: 0.0022 memory: 661 2022/08/26 18:16:39 - mmengine - INFO - Epoch(val) [300][175/500] eta: 0:00:08 time: 0.0237 data_time: 0.0023 memory: 661 2022/08/26 18:16:39 - mmengine - INFO - Epoch(val) [300][180/500] eta: 0:00:07 time: 0.0227 data_time: 0.0023 memory: 661 2022/08/26 18:16:39 - mmengine - INFO - Epoch(val) [300][185/500] eta: 0:00:07 time: 0.0240 data_time: 0.0021 memory: 661 2022/08/26 18:16:39 - mmengine - INFO - Epoch(val) [300][190/500] eta: 0:00:07 time: 0.0242 data_time: 0.0022 memory: 661 2022/08/26 18:16:39 - mmengine - INFO - Epoch(val) [300][195/500] eta: 0:00:07 time: 0.0223 data_time: 0.0023 memory: 661 2022/08/26 18:16:39 - mmengine - INFO - Epoch(val) [300][200/500] eta: 0:00:07 time: 0.0258 data_time: 0.0022 memory: 661 2022/08/26 18:16:39 - mmengine - INFO - Epoch(val) [300][205/500] eta: 0:00:07 time: 0.0256 data_time: 0.0021 memory: 661 2022/08/26 18:16:39 - mmengine - INFO - Epoch(val) [300][210/500] eta: 0:00:05 time: 0.0206 data_time: 0.0022 memory: 661 2022/08/26 18:16:40 - mmengine - INFO - Epoch(val) [300][215/500] eta: 0:00:05 time: 0.0212 data_time: 0.0022 memory: 661 2022/08/26 18:16:40 - mmengine - INFO - Epoch(val) [300][220/500] eta: 0:00:06 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 18:16:40 - mmengine - INFO - Epoch(val) [300][225/500] eta: 0:00:06 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 18:16:40 - mmengine - INFO - Epoch(val) [300][230/500] eta: 0:00:05 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 18:16:40 - mmengine - INFO - Epoch(val) [300][235/500] eta: 0:00:05 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 18:16:40 - mmengine - INFO - Epoch(val) [300][240/500] eta: 0:00:06 time: 0.0236 data_time: 0.0021 memory: 661 2022/08/26 18:16:40 - mmengine - INFO - Epoch(val) [300][245/500] eta: 0:00:06 time: 0.0220 data_time: 0.0022 memory: 661 2022/08/26 18:16:40 - mmengine - INFO - Epoch(val) [300][250/500] eta: 0:00:05 time: 0.0228 data_time: 0.0022 memory: 661 2022/08/26 18:16:40 - mmengine - INFO - Epoch(val) [300][255/500] eta: 0:00:05 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 18:16:41 - mmengine - INFO - Epoch(val) [300][260/500] eta: 0:00:05 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 18:16:41 - mmengine - INFO - Epoch(val) [300][265/500] eta: 0:00:05 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 18:16:41 - mmengine - INFO - Epoch(val) [300][270/500] eta: 0:00:05 time: 0.0223 data_time: 0.0027 memory: 661 2022/08/26 18:16:41 - mmengine - INFO - Epoch(val) [300][275/500] eta: 0:00:05 time: 0.0215 data_time: 0.0026 memory: 661 2022/08/26 18:16:41 - mmengine - INFO - Epoch(val) [300][280/500] eta: 0:00:05 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 18:16:41 - mmengine - INFO - Epoch(val) [300][285/500] eta: 0:00:05 time: 0.0232 data_time: 0.0022 memory: 661 2022/08/26 18:16:41 - mmengine - INFO - Epoch(val) [300][290/500] eta: 0:00:04 time: 0.0225 data_time: 0.0022 memory: 661 2022/08/26 18:16:41 - mmengine - INFO - Epoch(val) [300][295/500] eta: 0:00:04 time: 0.0230 data_time: 0.0022 memory: 661 2022/08/26 18:16:42 - mmengine - INFO - Epoch(val) [300][300/500] eta: 0:00:04 time: 0.0217 data_time: 0.0022 memory: 661 2022/08/26 18:16:42 - mmengine - INFO - Epoch(val) [300][305/500] eta: 0:00:04 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 18:16:42 - mmengine - INFO - Epoch(val) [300][310/500] eta: 0:00:04 time: 0.0219 data_time: 0.0022 memory: 661 2022/08/26 18:16:42 - mmengine - INFO - Epoch(val) [300][315/500] eta: 0:00:04 time: 0.0236 data_time: 0.0022 memory: 661 2022/08/26 18:16:42 - mmengine - INFO - Epoch(val) [300][320/500] eta: 0:00:04 time: 0.0232 data_time: 0.0022 memory: 661 2022/08/26 18:16:42 - mmengine - INFO - Epoch(val) [300][325/500] eta: 0:00:04 time: 0.0309 data_time: 0.0021 memory: 661 2022/08/26 18:16:42 - mmengine - INFO - Epoch(val) [300][330/500] eta: 0:00:05 time: 0.0309 data_time: 0.0021 memory: 661 2022/08/26 18:16:42 - mmengine - INFO - Epoch(val) [300][335/500] eta: 0:00:05 time: 0.0210 data_time: 0.0023 memory: 661 2022/08/26 18:16:43 - mmengine - INFO - Epoch(val) [300][340/500] eta: 0:00:03 time: 0.0240 data_time: 0.0023 memory: 661 2022/08/26 18:16:43 - mmengine - INFO - Epoch(val) [300][345/500] eta: 0:00:03 time: 0.0245 data_time: 0.0023 memory: 661 2022/08/26 18:16:43 - mmengine - INFO - Epoch(val) [300][350/500] eta: 0:00:03 time: 0.0251 data_time: 0.0022 memory: 661 2022/08/26 18:16:43 - mmengine - INFO - Epoch(val) [300][355/500] eta: 0:00:03 time: 0.0243 data_time: 0.0022 memory: 661 2022/08/26 18:16:43 - mmengine - INFO - Epoch(val) [300][360/500] eta: 0:00:03 time: 0.0220 data_time: 0.0022 memory: 661 2022/08/26 18:16:43 - mmengine - INFO - Epoch(val) [300][365/500] eta: 0:00:03 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 18:16:43 - mmengine - INFO - Epoch(val) [300][370/500] eta: 0:00:02 time: 0.0209 data_time: 0.0023 memory: 661 2022/08/26 18:16:43 - mmengine - INFO - Epoch(val) [300][375/500] eta: 0:00:02 time: 0.0203 data_time: 0.0022 memory: 661 2022/08/26 18:16:43 - mmengine - INFO - Epoch(val) [300][380/500] eta: 0:00:02 time: 0.0233 data_time: 0.0023 memory: 661 2022/08/26 18:16:44 - mmengine - INFO - Epoch(val) [300][385/500] eta: 0:00:02 time: 0.0236 data_time: 0.0021 memory: 661 2022/08/26 18:16:44 - mmengine - INFO - Epoch(val) [300][390/500] eta: 0:00:02 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 18:16:44 - mmengine - INFO - Epoch(val) [300][395/500] eta: 0:00:02 time: 0.0227 data_time: 0.0022 memory: 661 2022/08/26 18:16:44 - mmengine - INFO - Epoch(val) [300][400/500] eta: 0:00:02 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 18:16:44 - mmengine - INFO - Epoch(val) [300][405/500] eta: 0:00:02 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 18:16:44 - mmengine - INFO - Epoch(val) [300][410/500] eta: 0:00:02 time: 0.0229 data_time: 0.0020 memory: 661 2022/08/26 18:16:44 - mmengine - INFO - Epoch(val) [300][415/500] eta: 0:00:02 time: 0.0225 data_time: 0.0020 memory: 661 2022/08/26 18:16:44 - mmengine - INFO - Epoch(val) [300][420/500] eta: 0:00:01 time: 0.0204 data_time: 0.0020 memory: 661 2022/08/26 18:16:44 - mmengine - INFO - Epoch(val) [300][425/500] eta: 0:00:01 time: 0.0205 data_time: 0.0021 memory: 661 2022/08/26 18:16:45 - mmengine - INFO - Epoch(val) [300][430/500] eta: 0:00:01 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 18:16:45 - mmengine - INFO - Epoch(val) [300][435/500] eta: 0:00:01 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 18:16:45 - mmengine - INFO - Epoch(val) [300][440/500] eta: 0:00:01 time: 0.0223 data_time: 0.0022 memory: 661 2022/08/26 18:16:45 - mmengine - INFO - Epoch(val) [300][445/500] eta: 0:00:01 time: 0.0246 data_time: 0.0021 memory: 661 2022/08/26 18:16:45 - mmengine - INFO - Epoch(val) [300][450/500] eta: 0:00:01 time: 0.0249 data_time: 0.0020 memory: 661 2022/08/26 18:16:45 - mmengine - INFO - Epoch(val) [300][455/500] eta: 0:00:01 time: 0.0239 data_time: 0.0020 memory: 661 2022/08/26 18:16:45 - mmengine - INFO - Epoch(val) [300][460/500] eta: 0:00:00 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 18:16:45 - mmengine - INFO - Epoch(val) [300][465/500] eta: 0:00:00 time: 0.0208 data_time: 0.0022 memory: 661 2022/08/26 18:16:45 - mmengine - INFO - Epoch(val) [300][470/500] eta: 0:00:00 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 18:16:46 - mmengine - INFO - Epoch(val) [300][475/500] eta: 0:00:00 time: 0.0213 data_time: 0.0022 memory: 661 2022/08/26 18:16:46 - mmengine - INFO - Epoch(val) [300][480/500] eta: 0:00:02 time: 0.1010 data_time: 0.0062 memory: 661 2022/08/26 18:16:47 - mmengine - INFO - Epoch(val) [300][485/500] eta: 0:00:02 time: 0.1037 data_time: 0.0083 memory: 661 2022/08/26 18:16:47 - mmengine - INFO - Epoch(val) [300][490/500] eta: 0:00:00 time: 0.0254 data_time: 0.0044 memory: 661 2022/08/26 18:16:47 - mmengine - INFO - Epoch(val) [300][495/500] eta: 0:00:00 time: 0.0242 data_time: 0.0022 memory: 661 2022/08/26 18:16:47 - mmengine - INFO - Epoch(val) [300][500/500] eta: 0:00:00 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 18:16:47 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7309, precision: 0.7496, hmean: 0.7401 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7309, precision: 0.7496, hmean: 0.7401 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7309, precision: 0.7496, hmean: 0.7401 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7309, precision: 0.7496, hmean: 0.7401 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7309, precision: 0.7496, hmean: 0.7401 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7309, precision: 0.7515, hmean: 0.7410 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7304, precision: 0.7593, hmean: 0.7445 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7299, precision: 0.7684, hmean: 0.7486 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7275, precision: 0.7858, hmean: 0.7555 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7251, precision: 0.8011, hmean: 0.7612 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7174, precision: 0.8160, hmean: 0.7635 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7073, precision: 0.8337, hmean: 0.7653 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6697, precision: 0.8629, hmean: 0.7541 2022/08/26 18:16:47 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3009, precision: 0.9071, hmean: 0.4519 2022/08/26 18:16:47 - mmengine - INFO - Epoch(val) [300][500/500] icdar/precision: 0.8337 icdar/recall: 0.7073 icdar/hmean: 0.7653 2022/08/26 18:17:03 - mmengine - INFO - Epoch(train) [301][5/16] lr: 5.3508e-04 eta: 0:00:00 time: 2.6764 data_time: 0.5559 memory: 63381 loss_text: 0.2209 loss_kernel: 0.1163 loss_embedding: 0.0106 loss: 0.3478 2022/08/26 18:17:15 - mmengine - INFO - Epoch(train) [301][10/16] lr: 5.3508e-04 eta: 2:17:59 time: 2.7703 data_time: 0.5870 memory: 63381 loss_text: 0.2185 loss_kernel: 0.1158 loss_embedding: 0.0106 loss: 0.3449 2022/08/26 18:17:26 - mmengine - INFO - Epoch(train) [301][15/16] lr: 5.3508e-04 eta: 2:17:59 time: 2.2886 data_time: 0.0746 memory: 63381 loss_text: 0.2212 loss_kernel: 0.1177 loss_embedding: 0.0112 loss: 0.3502 2022/08/26 18:17:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:17:45 - mmengine - INFO - Epoch(train) [302][5/16] lr: 5.3347e-04 eta: 2:17:59 time: 2.7509 data_time: 0.5824 memory: 63381 loss_text: 0.2020 loss_kernel: 0.1078 loss_embedding: 0.0108 loss: 0.3206 2022/08/26 18:17:57 - mmengine - INFO - Epoch(train) [302][10/16] lr: 5.3347e-04 eta: 2:17:32 time: 2.8108 data_time: 0.6374 memory: 63381 loss_text: 0.2034 loss_kernel: 0.1081 loss_embedding: 0.0115 loss: 0.3229 2022/08/26 18:18:08 - mmengine - INFO - Epoch(train) [302][15/16] lr: 5.3347e-04 eta: 2:17:32 time: 2.3583 data_time: 0.1117 memory: 63381 loss_text: 0.1866 loss_kernel: 0.0981 loss_embedding: 0.0119 loss: 0.2966 2022/08/26 18:18:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:18:25 - mmengine - INFO - Epoch(train) [303][5/16] lr: 5.3186e-04 eta: 2:17:32 time: 2.6225 data_time: 0.5070 memory: 63381 loss_text: 0.1799 loss_kernel: 0.0964 loss_embedding: 0.0108 loss: 0.2871 2022/08/26 18:18:37 - mmengine - INFO - Epoch(train) [303][10/16] lr: 5.3186e-04 eta: 2:17:05 time: 2.7639 data_time: 0.5595 memory: 63381 loss_text: 0.1964 loss_kernel: 0.1074 loss_embedding: 0.0111 loss: 0.3149 2022/08/26 18:18:49 - mmengine - INFO - Epoch(train) [303][15/16] lr: 5.3186e-04 eta: 2:17:05 time: 2.3601 data_time: 0.0921 memory: 63381 loss_text: 0.2000 loss_kernel: 0.1091 loss_embedding: 0.0124 loss: 0.3216 2022/08/26 18:18:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:19:05 - mmengine - INFO - Epoch(train) [304][5/16] lr: 5.3025e-04 eta: 2:17:05 time: 2.5705 data_time: 0.4658 memory: 63381 loss_text: 0.2048 loss_kernel: 0.1106 loss_embedding: 0.0123 loss: 0.3277 2022/08/26 18:19:17 - mmengine - INFO - Epoch(train) [304][10/16] lr: 5.3025e-04 eta: 2:16:36 time: 2.6867 data_time: 0.5037 memory: 63381 loss_text: 0.1984 loss_kernel: 0.1075 loss_embedding: 0.0118 loss: 0.3177 2022/08/26 18:19:29 - mmengine - INFO - Epoch(train) [304][15/16] lr: 5.3025e-04 eta: 2:16:36 time: 2.3464 data_time: 0.0778 memory: 63381 loss_text: 0.1918 loss_kernel: 0.1032 loss_embedding: 0.0120 loss: 0.3070 2022/08/26 18:19:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:19:45 - mmengine - INFO - Epoch(train) [305][5/16] lr: 5.2863e-04 eta: 2:16:36 time: 2.5940 data_time: 0.4704 memory: 63381 loss_text: 0.2100 loss_kernel: 0.1118 loss_embedding: 0.0116 loss: 0.3334 2022/08/26 18:19:57 - mmengine - INFO - Epoch(train) [305][10/16] lr: 5.2863e-04 eta: 2:16:08 time: 2.6920 data_time: 0.5357 memory: 63381 loss_text: 0.2048 loss_kernel: 0.1086 loss_embedding: 0.0112 loss: 0.3246 2022/08/26 18:20:09 - mmengine - INFO - Epoch(train) [305][15/16] lr: 5.2863e-04 eta: 2:16:08 time: 2.3442 data_time: 0.1057 memory: 63381 loss_text: 0.1971 loss_kernel: 0.1055 loss_embedding: 0.0116 loss: 0.3142 2022/08/26 18:20:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:20:25 - mmengine - INFO - Epoch(train) [306][5/16] lr: 5.2702e-04 eta: 2:16:08 time: 2.5672 data_time: 0.4723 memory: 63381 loss_text: 0.2358 loss_kernel: 0.1252 loss_embedding: 0.0112 loss: 0.3722 2022/08/26 18:20:37 - mmengine - INFO - Epoch(train) [306][10/16] lr: 5.2702e-04 eta: 2:15:40 time: 2.7253 data_time: 0.5152 memory: 63381 loss_text: 0.2221 loss_kernel: 0.1166 loss_embedding: 0.0091 loss: 0.3478 2022/08/26 18:20:49 - mmengine - INFO - Epoch(train) [306][15/16] lr: 5.2702e-04 eta: 2:15:40 time: 2.3784 data_time: 0.0887 memory: 63381 loss_text: 0.2205 loss_kernel: 0.1159 loss_embedding: 0.0103 loss: 0.3468 2022/08/26 18:20:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:21:06 - mmengine - INFO - Epoch(train) [307][5/16] lr: 5.2541e-04 eta: 2:15:40 time: 2.6290 data_time: 0.5102 memory: 63381 loss_text: 0.2176 loss_kernel: 0.1150 loss_embedding: 0.0124 loss: 0.3450 2022/08/26 18:21:18 - mmengine - INFO - Epoch(train) [307][10/16] lr: 5.2541e-04 eta: 2:15:12 time: 2.7311 data_time: 0.5469 memory: 63381 loss_text: 0.2133 loss_kernel: 0.1144 loss_embedding: 0.0111 loss: 0.3387 2022/08/26 18:21:29 - mmengine - INFO - Epoch(train) [307][15/16] lr: 5.2541e-04 eta: 2:15:12 time: 2.3321 data_time: 0.1057 memory: 63381 loss_text: 0.2142 loss_kernel: 0.1163 loss_embedding: 0.0103 loss: 0.3408 2022/08/26 18:21:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:21:47 - mmengine - INFO - Epoch(train) [308][5/16] lr: 5.2379e-04 eta: 2:15:12 time: 2.6628 data_time: 0.5000 memory: 63381 loss_text: 0.2168 loss_kernel: 0.1169 loss_embedding: 0.0098 loss: 0.3435 2022/08/26 18:21:58 - mmengine - INFO - Epoch(train) [308][10/16] lr: 5.2379e-04 eta: 2:14:44 time: 2.7472 data_time: 0.5393 memory: 63381 loss_text: 0.2169 loss_kernel: 0.1167 loss_embedding: 0.0117 loss: 0.3453 2022/08/26 18:22:10 - mmengine - INFO - Epoch(train) [308][15/16] lr: 5.2379e-04 eta: 2:14:44 time: 2.3099 data_time: 0.1070 memory: 63381 loss_text: 0.2064 loss_kernel: 0.1088 loss_embedding: 0.0133 loss: 0.3285 2022/08/26 18:22:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:22:27 - mmengine - INFO - Epoch(train) [309][5/16] lr: 5.2218e-04 eta: 2:14:44 time: 2.6213 data_time: 0.5033 memory: 63381 loss_text: 0.2371 loss_kernel: 0.1211 loss_embedding: 0.0093 loss: 0.3675 2022/08/26 18:22:38 - mmengine - INFO - Epoch(train) [309][10/16] lr: 5.2218e-04 eta: 2:14:15 time: 2.6832 data_time: 0.5248 memory: 63381 loss_text: 0.2009 loss_kernel: 0.1069 loss_embedding: 0.0104 loss: 0.3182 2022/08/26 18:22:49 - mmengine - INFO - Epoch(train) [309][15/16] lr: 5.2218e-04 eta: 2:14:15 time: 2.2506 data_time: 0.0746 memory: 63381 loss_text: 0.1953 loss_kernel: 0.1073 loss_embedding: 0.0121 loss: 0.3147 2022/08/26 18:22:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:23:07 - mmengine - INFO - Epoch(train) [310][5/16] lr: 5.2056e-04 eta: 2:14:15 time: 2.6704 data_time: 0.5043 memory: 63381 loss_text: 0.2145 loss_kernel: 0.1171 loss_embedding: 0.0112 loss: 0.3427 2022/08/26 18:23:19 - mmengine - INFO - Epoch(train) [310][10/16] lr: 5.2056e-04 eta: 2:13:48 time: 2.7878 data_time: 0.5453 memory: 63381 loss_text: 0.2198 loss_kernel: 0.1177 loss_embedding: 0.0117 loss: 0.3492 2022/08/26 18:23:30 - mmengine - INFO - Epoch(train) [310][15/16] lr: 5.2056e-04 eta: 2:13:48 time: 2.2690 data_time: 0.0858 memory: 63381 loss_text: 0.2148 loss_kernel: 0.1146 loss_embedding: 0.0109 loss: 0.3403 2022/08/26 18:23:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:23:48 - mmengine - INFO - Epoch(train) [311][5/16] lr: 5.1895e-04 eta: 2:13:48 time: 2.7254 data_time: 0.5678 memory: 63381 loss_text: 0.2224 loss_kernel: 0.1185 loss_embedding: 0.0095 loss: 0.3504 2022/08/26 18:23:59 - mmengine - INFO - Epoch(train) [311][10/16] lr: 5.1895e-04 eta: 2:13:21 time: 2.8205 data_time: 0.6011 memory: 63381 loss_text: 0.2166 loss_kernel: 0.1169 loss_embedding: 0.0096 loss: 0.3432 2022/08/26 18:24:11 - mmengine - INFO - Epoch(train) [311][15/16] lr: 5.1895e-04 eta: 2:13:21 time: 2.3248 data_time: 0.0804 memory: 63381 loss_text: 0.1989 loss_kernel: 0.1091 loss_embedding: 0.0098 loss: 0.3178 2022/08/26 18:24:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:24:30 - mmengine - INFO - Epoch(train) [312][5/16] lr: 5.1733e-04 eta: 2:13:21 time: 2.8264 data_time: 0.6581 memory: 63381 loss_text: 0.1893 loss_kernel: 0.1064 loss_embedding: 0.0104 loss: 0.3061 2022/08/26 18:24:42 - mmengine - INFO - Epoch(train) [312][10/16] lr: 5.1733e-04 eta: 2:12:54 time: 2.8755 data_time: 0.6984 memory: 63381 loss_text: 0.2010 loss_kernel: 0.1099 loss_embedding: 0.0102 loss: 0.3211 2022/08/26 18:24:53 - mmengine - INFO - Epoch(train) [312][15/16] lr: 5.1733e-04 eta: 2:12:54 time: 2.3095 data_time: 0.0776 memory: 63381 loss_text: 0.1943 loss_kernel: 0.1053 loss_embedding: 0.0111 loss: 0.3107 2022/08/26 18:24:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:25:11 - mmengine - INFO - Epoch(train) [313][5/16] lr: 5.1571e-04 eta: 2:12:54 time: 2.7009 data_time: 0.5141 memory: 63381 loss_text: 0.1916 loss_kernel: 0.1046 loss_embedding: 0.0118 loss: 0.3080 2022/08/26 18:25:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:25:23 - mmengine - INFO - Epoch(train) [313][10/16] lr: 5.1571e-04 eta: 2:12:27 time: 2.8466 data_time: 0.6113 memory: 63381 loss_text: 0.1990 loss_kernel: 0.1078 loss_embedding: 0.0105 loss: 0.3172 2022/08/26 18:25:34 - mmengine - INFO - Epoch(train) [313][15/16] lr: 5.1571e-04 eta: 2:12:27 time: 2.3272 data_time: 0.1353 memory: 63381 loss_text: 0.1907 loss_kernel: 0.1034 loss_embedding: 0.0105 loss: 0.3047 2022/08/26 18:25:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:25:53 - mmengine - INFO - Epoch(train) [314][5/16] lr: 5.1410e-04 eta: 2:12:27 time: 2.7732 data_time: 0.5775 memory: 63381 loss_text: 0.2060 loss_kernel: 0.1110 loss_embedding: 0.0098 loss: 0.3268 2022/08/26 18:26:05 - mmengine - INFO - Epoch(train) [314][10/16] lr: 5.1410e-04 eta: 2:12:00 time: 2.8416 data_time: 0.6100 memory: 63381 loss_text: 0.2367 loss_kernel: 0.1242 loss_embedding: 0.0096 loss: 0.3706 2022/08/26 18:26:16 - mmengine - INFO - Epoch(train) [314][15/16] lr: 5.1410e-04 eta: 2:12:00 time: 2.3295 data_time: 0.0942 memory: 63381 loss_text: 0.2051 loss_kernel: 0.1089 loss_embedding: 0.0105 loss: 0.3245 2022/08/26 18:26:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:26:34 - mmengine - INFO - Epoch(train) [315][5/16] lr: 5.1248e-04 eta: 2:12:00 time: 2.7528 data_time: 0.5658 memory: 63381 loss_text: 0.1840 loss_kernel: 0.1003 loss_embedding: 0.0116 loss: 0.2958 2022/08/26 18:26:46 - mmengine - INFO - Epoch(train) [315][10/16] lr: 5.1248e-04 eta: 2:11:33 time: 2.7839 data_time: 0.6183 memory: 63381 loss_text: 0.1979 loss_kernel: 0.1066 loss_embedding: 0.0115 loss: 0.3159 2022/08/26 18:26:57 - mmengine - INFO - Epoch(train) [315][15/16] lr: 5.1248e-04 eta: 2:11:33 time: 2.2802 data_time: 0.0953 memory: 63381 loss_text: 0.2134 loss_kernel: 0.1132 loss_embedding: 0.0106 loss: 0.3372 2022/08/26 18:26:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:27:15 - mmengine - INFO - Epoch(train) [316][5/16] lr: 5.1086e-04 eta: 2:11:33 time: 2.6033 data_time: 0.5364 memory: 63381 loss_text: 0.2139 loss_kernel: 0.1124 loss_embedding: 0.0101 loss: 0.3363 2022/08/26 18:27:27 - mmengine - INFO - Epoch(train) [316][10/16] lr: 5.1086e-04 eta: 2:11:06 time: 2.8205 data_time: 0.5701 memory: 63381 loss_text: 0.1859 loss_kernel: 0.1019 loss_embedding: 0.0110 loss: 0.2988 2022/08/26 18:27:39 - mmengine - INFO - Epoch(train) [316][15/16] lr: 5.1086e-04 eta: 2:11:06 time: 2.4037 data_time: 0.0839 memory: 63381 loss_text: 0.1813 loss_kernel: 0.0991 loss_embedding: 0.0118 loss: 0.2922 2022/08/26 18:27:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:27:56 - mmengine - INFO - Epoch(train) [317][5/16] lr: 5.0924e-04 eta: 2:11:06 time: 2.7013 data_time: 0.5563 memory: 63381 loss_text: 0.2123 loss_kernel: 0.1127 loss_embedding: 0.0113 loss: 0.3362 2022/08/26 18:28:09 - mmengine - INFO - Epoch(train) [317][10/16] lr: 5.0924e-04 eta: 2:10:39 time: 2.8547 data_time: 0.6038 memory: 63381 loss_text: 0.1854 loss_kernel: 0.1001 loss_embedding: 0.0121 loss: 0.2976 2022/08/26 18:28:21 - mmengine - INFO - Epoch(train) [317][15/16] lr: 5.0924e-04 eta: 2:10:39 time: 2.4706 data_time: 0.1036 memory: 63381 loss_text: 0.1648 loss_kernel: 0.0926 loss_embedding: 0.0123 loss: 0.2697 2022/08/26 18:28:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:28:41 - mmengine - INFO - Epoch(train) [318][5/16] lr: 5.0762e-04 eta: 2:10:39 time: 2.9754 data_time: 0.6725 memory: 63381 loss_text: 0.2115 loss_kernel: 0.1136 loss_embedding: 0.0119 loss: 0.3370 2022/08/26 18:28:53 - mmengine - INFO - Epoch(train) [318][10/16] lr: 5.0762e-04 eta: 2:10:14 time: 3.0689 data_time: 0.7096 memory: 63381 loss_text: 0.1968 loss_kernel: 0.1071 loss_embedding: 0.0108 loss: 0.3147 2022/08/26 18:29:06 - mmengine - INFO - Epoch(train) [318][15/16] lr: 5.0762e-04 eta: 2:10:14 time: 2.4911 data_time: 0.0871 memory: 63381 loss_text: 0.1917 loss_kernel: 0.1071 loss_embedding: 0.0103 loss: 0.3091 2022/08/26 18:29:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:29:25 - mmengine - INFO - Epoch(train) [319][5/16] lr: 5.0600e-04 eta: 2:10:14 time: 2.8693 data_time: 0.5979 memory: 63381 loss_text: 0.2107 loss_kernel: 0.1127 loss_embedding: 0.0104 loss: 0.3339 2022/08/26 18:29:37 - mmengine - INFO - Epoch(train) [319][10/16] lr: 5.0600e-04 eta: 2:09:48 time: 2.9258 data_time: 0.6315 memory: 63381 loss_text: 0.2158 loss_kernel: 0.1138 loss_embedding: 0.0112 loss: 0.3408 2022/08/26 18:29:49 - mmengine - INFO - Epoch(train) [319][15/16] lr: 5.0600e-04 eta: 2:09:48 time: 2.4514 data_time: 0.0838 memory: 63381 loss_text: 0.2104 loss_kernel: 0.1098 loss_embedding: 0.0123 loss: 0.3325 2022/08/26 18:29:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:30:08 - mmengine - INFO - Epoch(train) [320][5/16] lr: 5.0438e-04 eta: 2:09:48 time: 2.8023 data_time: 0.5417 memory: 63381 loss_text: 0.2277 loss_kernel: 0.1190 loss_embedding: 0.0109 loss: 0.3575 2022/08/26 18:30:20 - mmengine - INFO - Epoch(train) [320][10/16] lr: 5.0438e-04 eta: 2:09:21 time: 2.8919 data_time: 0.5883 memory: 63381 loss_text: 0.2328 loss_kernel: 0.1210 loss_embedding: 0.0109 loss: 0.3647 2022/08/26 18:30:33 - mmengine - INFO - Epoch(train) [320][15/16] lr: 5.0438e-04 eta: 2:09:21 time: 2.4664 data_time: 0.0851 memory: 63381 loss_text: 0.2126 loss_kernel: 0.1138 loss_embedding: 0.0096 loss: 0.3360 2022/08/26 18:30:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:30:34 - mmengine - INFO - Saving checkpoint at 320 epochs 2022/08/26 18:30:38 - mmengine - INFO - Epoch(val) [320][5/500] eta: 2:09:21 time: 0.0677 data_time: 0.0151 memory: 39748 2022/08/26 18:30:38 - mmengine - INFO - Epoch(val) [320][10/500] eta: 0:00:38 time: 0.0787 data_time: 0.0154 memory: 661 2022/08/26 18:30:38 - mmengine - INFO - Epoch(val) [320][15/500] eta: 0:00:38 time: 0.0372 data_time: 0.0027 memory: 661 2022/08/26 18:30:39 - mmengine - INFO - Epoch(val) [320][20/500] eta: 0:00:19 time: 0.0412 data_time: 0.0026 memory: 661 2022/08/26 18:30:39 - mmengine - INFO - Epoch(val) [320][25/500] eta: 0:00:19 time: 0.0415 data_time: 0.0026 memory: 661 2022/08/26 18:30:39 - mmengine - INFO - Epoch(val) [320][30/500] eta: 0:00:20 time: 0.0434 data_time: 0.0026 memory: 661 2022/08/26 18:30:39 - mmengine - INFO - Epoch(val) [320][35/500] eta: 0:00:20 time: 0.0397 data_time: 0.0026 memory: 661 2022/08/26 18:30:39 - mmengine - INFO - Epoch(val) [320][40/500] eta: 0:00:17 time: 0.0387 data_time: 0.0026 memory: 661 2022/08/26 18:30:39 - mmengine - INFO - Epoch(val) [320][45/500] eta: 0:00:17 time: 0.0377 data_time: 0.0025 memory: 661 2022/08/26 18:30:40 - mmengine - INFO - Epoch(val) [320][50/500] eta: 0:00:11 time: 0.0254 data_time: 0.0022 memory: 661 2022/08/26 18:30:40 - mmengine - INFO - Epoch(val) [320][55/500] eta: 0:00:11 time: 0.0356 data_time: 0.0022 memory: 661 2022/08/26 18:30:40 - mmengine - INFO - Epoch(val) [320][60/500] eta: 0:00:14 time: 0.0330 data_time: 0.0022 memory: 661 2022/08/26 18:30:40 - mmengine - INFO - Epoch(val) [320][65/500] eta: 0:00:14 time: 0.0335 data_time: 0.0024 memory: 661 2022/08/26 18:30:40 - mmengine - INFO - Epoch(val) [320][70/500] eta: 0:00:15 time: 0.0355 data_time: 0.0023 memory: 661 2022/08/26 18:30:41 - mmengine - INFO - Epoch(val) [320][75/500] eta: 0:00:15 time: 0.0346 data_time: 0.0023 memory: 661 2022/08/26 18:30:41 - mmengine - INFO - Epoch(val) [320][80/500] eta: 0:00:17 time: 0.0423 data_time: 0.0025 memory: 661 2022/08/26 18:30:41 - mmengine - INFO - Epoch(val) [320][85/500] eta: 0:00:17 time: 0.0308 data_time: 0.0028 memory: 661 2022/08/26 18:30:41 - mmengine - INFO - Epoch(val) [320][90/500] eta: 0:00:09 time: 0.0243 data_time: 0.0024 memory: 661 2022/08/26 18:30:41 - mmengine - INFO - Epoch(val) [320][95/500] eta: 0:00:09 time: 0.0255 data_time: 0.0018 memory: 661 2022/08/26 18:30:41 - mmengine - INFO - Epoch(val) [320][100/500] eta: 0:00:08 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 18:30:41 - mmengine - INFO - Epoch(val) [320][105/500] eta: 0:00:08 time: 0.0222 data_time: 0.0020 memory: 661 2022/08/26 18:30:41 - mmengine - INFO - Epoch(val) [320][110/500] eta: 0:00:08 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 18:30:42 - mmengine - INFO - Epoch(val) [320][115/500] eta: 0:00:08 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 18:30:42 - mmengine - INFO - Epoch(val) [320][120/500] eta: 0:00:08 time: 0.0236 data_time: 0.0020 memory: 661 2022/08/26 18:30:42 - mmengine - INFO - Epoch(val) [320][125/500] eta: 0:00:08 time: 0.0222 data_time: 0.0020 memory: 661 2022/08/26 18:30:42 - mmengine - INFO - Epoch(val) [320][130/500] eta: 0:00:08 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 18:30:42 - mmengine - INFO - Epoch(val) [320][135/500] eta: 0:00:08 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 18:30:42 - mmengine - INFO - Epoch(val) [320][140/500] eta: 0:00:08 time: 0.0227 data_time: 0.0021 memory: 661 2022/08/26 18:30:42 - mmengine - INFO - Epoch(val) [320][145/500] eta: 0:00:08 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 18:30:42 - mmengine - INFO - Epoch(val) [320][150/500] eta: 0:00:08 time: 0.0242 data_time: 0.0021 memory: 661 2022/08/26 18:30:42 - mmengine - INFO - Epoch(val) [320][155/500] eta: 0:00:08 time: 0.0276 data_time: 0.0020 memory: 661 2022/08/26 18:30:43 - mmengine - INFO - Epoch(val) [320][160/500] eta: 0:00:09 time: 0.0271 data_time: 0.0019 memory: 661 2022/08/26 18:30:43 - mmengine - INFO - Epoch(val) [320][165/500] eta: 0:00:09 time: 0.0243 data_time: 0.0020 memory: 661 2022/08/26 18:30:43 - mmengine - INFO - Epoch(val) [320][170/500] eta: 0:00:08 time: 0.0256 data_time: 0.0020 memory: 661 2022/08/26 18:30:43 - mmengine - INFO - Epoch(val) [320][175/500] eta: 0:00:08 time: 0.0238 data_time: 0.0021 memory: 661 2022/08/26 18:30:43 - mmengine - INFO - Epoch(val) [320][180/500] eta: 0:00:10 time: 0.0336 data_time: 0.0024 memory: 661 2022/08/26 18:30:43 - mmengine - INFO - Epoch(val) [320][185/500] eta: 0:00:10 time: 0.0350 data_time: 0.0022 memory: 661 2022/08/26 18:30:44 - mmengine - INFO - Epoch(val) [320][190/500] eta: 0:00:10 time: 0.0338 data_time: 0.0022 memory: 661 2022/08/26 18:30:44 - mmengine - INFO - Epoch(val) [320][195/500] eta: 0:00:10 time: 0.0369 data_time: 0.0024 memory: 661 2022/08/26 18:30:44 - mmengine - INFO - Epoch(val) [320][200/500] eta: 0:00:11 time: 0.0393 data_time: 0.0023 memory: 661 2022/08/26 18:30:44 - mmengine - INFO - Epoch(val) [320][205/500] eta: 0:00:11 time: 0.0401 data_time: 0.0025 memory: 661 2022/08/26 18:30:44 - mmengine - INFO - Epoch(val) [320][210/500] eta: 0:00:10 time: 0.0373 data_time: 0.0027 memory: 661 2022/08/26 18:30:44 - mmengine - INFO - Epoch(val) [320][215/500] eta: 0:00:10 time: 0.0328 data_time: 0.0023 memory: 661 2022/08/26 18:30:45 - mmengine - INFO - Epoch(val) [320][220/500] eta: 0:00:08 time: 0.0298 data_time: 0.0020 memory: 661 2022/08/26 18:30:45 - mmengine - INFO - Epoch(val) [320][225/500] eta: 0:00:08 time: 0.0347 data_time: 0.0021 memory: 661 2022/08/26 18:30:45 - mmengine - INFO - Epoch(val) [320][230/500] eta: 0:00:10 time: 0.0379 data_time: 0.0024 memory: 661 2022/08/26 18:30:45 - mmengine - INFO - Epoch(val) [320][235/500] eta: 0:00:10 time: 0.0373 data_time: 0.0029 memory: 661 2022/08/26 18:30:45 - mmengine - INFO - Epoch(val) [320][240/500] eta: 0:00:07 time: 0.0274 data_time: 0.0026 memory: 661 2022/08/26 18:30:45 - mmengine - INFO - Epoch(val) [320][245/500] eta: 0:00:07 time: 0.0332 data_time: 0.0022 memory: 661 2022/08/26 18:30:46 - mmengine - INFO - Epoch(val) [320][250/500] eta: 0:00:08 time: 0.0343 data_time: 0.0023 memory: 661 2022/08/26 18:30:46 - mmengine - INFO - Epoch(val) [320][255/500] eta: 0:00:08 time: 0.0334 data_time: 0.0024 memory: 661 2022/08/26 18:30:46 - mmengine - INFO - Epoch(val) [320][260/500] eta: 0:00:10 time: 0.0422 data_time: 0.0027 memory: 661 2022/08/26 18:30:46 - mmengine - INFO - Epoch(val) [320][265/500] eta: 0:00:10 time: 0.0335 data_time: 0.0027 memory: 661 2022/08/26 18:30:46 - mmengine - INFO - Epoch(val) [320][270/500] eta: 0:00:05 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 18:30:46 - mmengine - INFO - Epoch(val) [320][275/500] eta: 0:00:05 time: 0.0215 data_time: 0.0019 memory: 661 2022/08/26 18:30:46 - mmengine - INFO - Epoch(val) [320][280/500] eta: 0:00:04 time: 0.0225 data_time: 0.0019 memory: 661 2022/08/26 18:30:47 - mmengine - INFO - Epoch(val) [320][285/500] eta: 0:00:04 time: 0.0225 data_time: 0.0019 memory: 661 2022/08/26 18:30:47 - mmengine - INFO - Epoch(val) [320][290/500] eta: 0:00:04 time: 0.0222 data_time: 0.0018 memory: 661 2022/08/26 18:30:47 - mmengine - INFO - Epoch(val) [320][295/500] eta: 0:00:04 time: 0.0226 data_time: 0.0019 memory: 661 2022/08/26 18:30:47 - mmengine - INFO - Epoch(val) [320][300/500] eta: 0:00:04 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 18:30:47 - mmengine - INFO - Epoch(val) [320][305/500] eta: 0:00:04 time: 0.0250 data_time: 0.0026 memory: 661 2022/08/26 18:30:47 - mmengine - INFO - Epoch(val) [320][310/500] eta: 0:00:04 time: 0.0252 data_time: 0.0027 memory: 661 2022/08/26 18:30:47 - mmengine - INFO - Epoch(val) [320][315/500] eta: 0:00:04 time: 0.0242 data_time: 0.0020 memory: 661 2022/08/26 18:30:47 - mmengine - INFO - Epoch(val) [320][320/500] eta: 0:00:04 time: 0.0242 data_time: 0.0023 memory: 661 2022/08/26 18:30:48 - mmengine - INFO - Epoch(val) [320][325/500] eta: 0:00:04 time: 0.0381 data_time: 0.0046 memory: 661 2022/08/26 18:30:48 - mmengine - INFO - Epoch(val) [320][330/500] eta: 0:00:07 time: 0.0452 data_time: 0.0067 memory: 661 2022/08/26 18:30:48 - mmengine - INFO - Epoch(val) [320][335/500] eta: 0:00:07 time: 0.0286 data_time: 0.0045 memory: 661 2022/08/26 18:30:48 - mmengine - INFO - Epoch(val) [320][340/500] eta: 0:00:04 time: 0.0261 data_time: 0.0020 memory: 661 2022/08/26 18:30:48 - mmengine - INFO - Epoch(val) [320][345/500] eta: 0:00:04 time: 0.0476 data_time: 0.0022 memory: 661 2022/08/26 18:30:49 - mmengine - INFO - Epoch(val) [320][350/500] eta: 0:00:08 time: 0.0571 data_time: 0.0026 memory: 661 2022/08/26 18:30:49 - mmengine - INFO - Epoch(val) [320][355/500] eta: 0:00:08 time: 0.0350 data_time: 0.0024 memory: 661 2022/08/26 18:30:49 - mmengine - INFO - Epoch(val) [320][360/500] eta: 0:00:02 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 18:30:49 - mmengine - INFO - Epoch(val) [320][365/500] eta: 0:00:02 time: 0.0273 data_time: 0.0038 memory: 661 2022/08/26 18:30:49 - mmengine - INFO - Epoch(val) [320][370/500] eta: 0:00:03 time: 0.0261 data_time: 0.0041 memory: 661 2022/08/26 18:30:49 - mmengine - INFO - Epoch(val) [320][375/500] eta: 0:00:03 time: 0.0341 data_time: 0.0026 memory: 661 2022/08/26 18:30:50 - mmengine - INFO - Epoch(val) [320][380/500] eta: 0:00:04 time: 0.0367 data_time: 0.0024 memory: 661 2022/08/26 18:30:50 - mmengine - INFO - Epoch(val) [320][385/500] eta: 0:00:04 time: 0.0345 data_time: 0.0023 memory: 661 2022/08/26 18:30:50 - mmengine - INFO - Epoch(val) [320][390/500] eta: 0:00:03 time: 0.0340 data_time: 0.0024 memory: 661 2022/08/26 18:30:50 - mmengine - INFO - Epoch(val) [320][395/500] eta: 0:00:03 time: 0.0284 data_time: 0.0023 memory: 661 2022/08/26 18:30:50 - mmengine - INFO - Epoch(val) [320][400/500] eta: 0:00:03 time: 0.0329 data_time: 0.0023 memory: 661 2022/08/26 18:30:50 - mmengine - INFO - Epoch(val) [320][405/500] eta: 0:00:03 time: 0.0398 data_time: 0.0024 memory: 661 2022/08/26 18:30:51 - mmengine - INFO - Epoch(val) [320][410/500] eta: 0:00:03 time: 0.0431 data_time: 0.0023 memory: 661 2022/08/26 18:30:51 - mmengine - INFO - Epoch(val) [320][415/500] eta: 0:00:03 time: 0.0377 data_time: 0.0024 memory: 661 2022/08/26 18:30:51 - mmengine - INFO - Epoch(val) [320][420/500] eta: 0:00:02 time: 0.0275 data_time: 0.0024 memory: 661 2022/08/26 18:30:51 - mmengine - INFO - Epoch(val) [320][425/500] eta: 0:00:02 time: 0.0230 data_time: 0.0022 memory: 661 2022/08/26 18:30:51 - mmengine - INFO - Epoch(val) [320][430/500] eta: 0:00:02 time: 0.0323 data_time: 0.0023 memory: 661 2022/08/26 18:30:51 - mmengine - INFO - Epoch(val) [320][435/500] eta: 0:00:02 time: 0.0297 data_time: 0.0023 memory: 661 2022/08/26 18:30:52 - mmengine - INFO - Epoch(val) [320][440/500] eta: 0:00:01 time: 0.0331 data_time: 0.0022 memory: 661 2022/08/26 18:30:52 - mmengine - INFO - Epoch(val) [320][445/500] eta: 0:00:01 time: 0.0380 data_time: 0.0023 memory: 661 2022/08/26 18:30:52 - mmengine - INFO - Epoch(val) [320][450/500] eta: 0:00:01 time: 0.0349 data_time: 0.0022 memory: 661 2022/08/26 18:30:52 - mmengine - INFO - Epoch(val) [320][455/500] eta: 0:00:01 time: 0.0339 data_time: 0.0023 memory: 661 2022/08/26 18:30:52 - mmengine - INFO - Epoch(val) [320][460/500] eta: 0:00:01 time: 0.0340 data_time: 0.0024 memory: 661 2022/08/26 18:30:52 - mmengine - INFO - Epoch(val) [320][465/500] eta: 0:00:01 time: 0.0310 data_time: 0.0024 memory: 661 2022/08/26 18:30:52 - mmengine - INFO - Epoch(val) [320][470/500] eta: 0:00:00 time: 0.0223 data_time: 0.0022 memory: 661 2022/08/26 18:30:53 - mmengine - INFO - Epoch(val) [320][475/500] eta: 0:00:00 time: 0.0214 data_time: 0.0022 memory: 661 2022/08/26 18:30:53 - mmengine - INFO - Epoch(val) [320][480/500] eta: 0:00:00 time: 0.0226 data_time: 0.0023 memory: 661 2022/08/26 18:30:53 - mmengine - INFO - Epoch(val) [320][485/500] eta: 0:00:00 time: 0.0236 data_time: 0.0022 memory: 661 2022/08/26 18:30:53 - mmengine - INFO - Epoch(val) [320][490/500] eta: 0:00:00 time: 0.0243 data_time: 0.0022 memory: 661 2022/08/26 18:30:53 - mmengine - INFO - Epoch(val) [320][495/500] eta: 0:00:00 time: 0.0255 data_time: 0.0022 memory: 661 2022/08/26 18:30:53 - mmengine - INFO - Epoch(val) [320][500/500] eta: 0:00:00 time: 0.0253 data_time: 0.0022 memory: 661 2022/08/26 18:30:53 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7559, precision: 0.7330, hmean: 0.7443 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7559, precision: 0.7330, hmean: 0.7443 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7559, precision: 0.7330, hmean: 0.7443 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7559, precision: 0.7330, hmean: 0.7443 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7559, precision: 0.7330, hmean: 0.7443 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7559, precision: 0.7333, hmean: 0.7444 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7559, precision: 0.7371, hmean: 0.7464 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7559, precision: 0.7458, hmean: 0.7508 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7554, precision: 0.7580, hmean: 0.7567 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7535, precision: 0.7668, hmean: 0.7601 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7501, precision: 0.7806, hmean: 0.7650 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7463, precision: 0.8044, hmean: 0.7742 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7097, precision: 0.8452, hmean: 0.7715 2022/08/26 18:30:53 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3664, precision: 0.8880, hmean: 0.5187 2022/08/26 18:30:53 - mmengine - INFO - Epoch(val) [320][500/500] icdar/precision: 0.8044 icdar/recall: 0.7463 icdar/hmean: 0.7742 2022/08/26 18:31:10 - mmengine - INFO - Epoch(train) [321][5/16] lr: 5.0276e-04 eta: 0:00:00 time: 2.7846 data_time: 0.4743 memory: 63381 loss_text: 0.1956 loss_kernel: 0.1067 loss_embedding: 0.0107 loss: 0.3130 2022/08/26 18:31:22 - mmengine - INFO - Epoch(train) [321][10/16] lr: 5.0276e-04 eta: 2:08:54 time: 2.8802 data_time: 0.5371 memory: 63381 loss_text: 0.2068 loss_kernel: 0.1134 loss_embedding: 0.0115 loss: 0.3317 2022/08/26 18:31:35 - mmengine - INFO - Epoch(train) [321][15/16] lr: 5.0276e-04 eta: 2:08:54 time: 2.5266 data_time: 0.1254 memory: 63381 loss_text: 0.2304 loss_kernel: 0.1232 loss_embedding: 0.0108 loss: 0.3644 2022/08/26 18:31:37 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:31:54 - mmengine - INFO - Epoch(train) [322][5/16] lr: 5.0114e-04 eta: 2:08:54 time: 2.8739 data_time: 0.5534 memory: 63381 loss_text: 0.2272 loss_kernel: 0.1201 loss_embedding: 0.0095 loss: 0.3567 2022/08/26 18:32:07 - mmengine - INFO - Epoch(train) [322][10/16] lr: 5.0114e-04 eta: 2:08:29 time: 2.9939 data_time: 0.6180 memory: 63381 loss_text: 0.2119 loss_kernel: 0.1129 loss_embedding: 0.0098 loss: 0.3346 2022/08/26 18:32:19 - mmengine - INFO - Epoch(train) [322][15/16] lr: 5.0114e-04 eta: 2:08:29 time: 2.5328 data_time: 0.1307 memory: 63381 loss_text: 0.2184 loss_kernel: 0.1161 loss_embedding: 0.0100 loss: 0.3445 2022/08/26 18:32:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:32:37 - mmengine - INFO - Epoch(train) [323][5/16] lr: 4.9951e-04 eta: 2:08:29 time: 2.7877 data_time: 0.4861 memory: 63381 loss_text: 0.2129 loss_kernel: 0.1158 loss_embedding: 0.0090 loss: 0.3377 2022/08/26 18:32:51 - mmengine - INFO - Epoch(train) [323][10/16] lr: 4.9951e-04 eta: 2:08:03 time: 2.9851 data_time: 0.5630 memory: 63381 loss_text: 0.2320 loss_kernel: 0.1240 loss_embedding: 0.0097 loss: 0.3657 2022/08/26 18:33:03 - mmengine - INFO - Epoch(train) [323][15/16] lr: 4.9951e-04 eta: 2:08:03 time: 2.5785 data_time: 0.1355 memory: 63381 loss_text: 0.2186 loss_kernel: 0.1196 loss_embedding: 0.0111 loss: 0.3493 2022/08/26 18:33:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:33:22 - mmengine - INFO - Epoch(train) [324][5/16] lr: 4.9789e-04 eta: 2:08:03 time: 2.9015 data_time: 0.5473 memory: 63381 loss_text: 0.2056 loss_kernel: 0.1126 loss_embedding: 0.0087 loss: 0.3269 2022/08/26 18:33:34 - mmengine - INFO - Epoch(train) [324][10/16] lr: 4.9789e-04 eta: 2:07:37 time: 2.9563 data_time: 0.5582 memory: 63381 loss_text: 0.2130 loss_kernel: 0.1149 loss_embedding: 0.0081 loss: 0.3360 2022/08/26 18:33:48 - mmengine - INFO - Epoch(train) [324][15/16] lr: 4.9789e-04 eta: 2:07:37 time: 2.5491 data_time: 0.0846 memory: 63381 loss_text: 0.2024 loss_kernel: 0.1102 loss_embedding: 0.0098 loss: 0.3224 2022/08/26 18:33:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:34:07 - mmengine - INFO - Epoch(train) [325][5/16] lr: 4.9627e-04 eta: 2:07:37 time: 2.9983 data_time: 0.5157 memory: 63381 loss_text: 0.1810 loss_kernel: 0.1008 loss_embedding: 0.0098 loss: 0.2916 2022/08/26 18:34:19 - mmengine - INFO - Epoch(train) [325][10/16] lr: 4.9627e-04 eta: 2:07:10 time: 2.9210 data_time: 0.5084 memory: 63381 loss_text: 0.1858 loss_kernel: 0.1015 loss_embedding: 0.0091 loss: 0.2964 2022/08/26 18:34:31 - mmengine - INFO - Epoch(train) [325][15/16] lr: 4.9627e-04 eta: 2:07:10 time: 2.4635 data_time: 0.0607 memory: 63381 loss_text: 0.2119 loss_kernel: 0.1134 loss_embedding: 0.0098 loss: 0.3352 2022/08/26 18:34:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:34:51 - mmengine - INFO - Epoch(train) [326][5/16] lr: 4.9464e-04 eta: 2:07:10 time: 3.0167 data_time: 0.5880 memory: 63381 loss_text: 0.2063 loss_kernel: 0.1110 loss_embedding: 0.0102 loss: 0.3275 2022/08/26 18:35:04 - mmengine - INFO - Epoch(train) [326][10/16] lr: 4.9464e-04 eta: 2:06:45 time: 3.0237 data_time: 0.6143 memory: 63381 loss_text: 0.1903 loss_kernel: 0.1021 loss_embedding: 0.0106 loss: 0.3029 2022/08/26 18:35:16 - mmengine - INFO - Epoch(train) [326][15/16] lr: 4.9464e-04 eta: 2:06:45 time: 2.4137 data_time: 0.0856 memory: 63381 loss_text: 0.2011 loss_kernel: 0.1085 loss_embedding: 0.0098 loss: 0.3195 2022/08/26 18:35:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:35:35 - mmengine - INFO - Epoch(train) [327][5/16] lr: 4.9302e-04 eta: 2:06:45 time: 2.8109 data_time: 0.5481 memory: 63381 loss_text: 0.2106 loss_kernel: 0.1133 loss_embedding: 0.0093 loss: 0.3332 2022/08/26 18:35:48 - mmengine - INFO - Epoch(train) [327][10/16] lr: 4.9302e-04 eta: 2:06:19 time: 3.0092 data_time: 0.5826 memory: 63381 loss_text: 0.2118 loss_kernel: 0.1119 loss_embedding: 0.0094 loss: 0.3331 2022/08/26 18:36:00 - mmengine - INFO - Epoch(train) [327][15/16] lr: 4.9302e-04 eta: 2:06:19 time: 2.5640 data_time: 0.1032 memory: 63381 loss_text: 0.2025 loss_kernel: 0.1076 loss_embedding: 0.0106 loss: 0.3207 2022/08/26 18:36:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:36:18 - mmengine - INFO - Epoch(train) [328][5/16] lr: 4.9139e-04 eta: 2:06:19 time: 2.8353 data_time: 0.5054 memory: 63381 loss_text: 0.2003 loss_kernel: 0.1070 loss_embedding: 0.0106 loss: 0.3179 2022/08/26 18:36:31 - mmengine - INFO - Epoch(train) [328][10/16] lr: 4.9139e-04 eta: 2:05:52 time: 2.9150 data_time: 0.5698 memory: 63381 loss_text: 0.2118 loss_kernel: 0.1135 loss_embedding: 0.0093 loss: 0.3346 2022/08/26 18:36:44 - mmengine - INFO - Epoch(train) [328][15/16] lr: 4.9139e-04 eta: 2:05:52 time: 2.5931 data_time: 0.1228 memory: 63381 loss_text: 0.2082 loss_kernel: 0.1127 loss_embedding: 0.0096 loss: 0.3304 2022/08/26 18:36:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:37:03 - mmengine - INFO - Epoch(train) [329][5/16] lr: 4.8977e-04 eta: 2:05:52 time: 2.9604 data_time: 0.5150 memory: 63381 loss_text: 0.2000 loss_kernel: 0.1072 loss_embedding: 0.0099 loss: 0.3171 2022/08/26 18:37:15 - mmengine - INFO - Epoch(train) [329][10/16] lr: 4.8977e-04 eta: 2:05:26 time: 2.9961 data_time: 0.5530 memory: 63381 loss_text: 0.2048 loss_kernel: 0.1089 loss_embedding: 0.0098 loss: 0.3235 2022/08/26 18:37:27 - mmengine - INFO - Epoch(train) [329][15/16] lr: 4.8977e-04 eta: 2:05:26 time: 2.4419 data_time: 0.1099 memory: 63381 loss_text: 0.2205 loss_kernel: 0.1160 loss_embedding: 0.0097 loss: 0.3462 2022/08/26 18:37:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:37:46 - mmengine - INFO - Epoch(train) [330][5/16] lr: 4.8814e-04 eta: 2:05:26 time: 2.8014 data_time: 0.5364 memory: 63381 loss_text: 0.2127 loss_kernel: 0.1152 loss_embedding: 0.0102 loss: 0.3380 2022/08/26 18:37:58 - mmengine - INFO - Epoch(train) [330][10/16] lr: 4.8814e-04 eta: 2:04:59 time: 2.8672 data_time: 0.5268 memory: 63381 loss_text: 0.1875 loss_kernel: 0.1020 loss_embedding: 0.0107 loss: 0.3003 2022/08/26 18:38:11 - mmengine - INFO - Epoch(train) [330][15/16] lr: 4.8814e-04 eta: 2:04:59 time: 2.5116 data_time: 0.0952 memory: 63381 loss_text: 0.1920 loss_kernel: 0.1014 loss_embedding: 0.0099 loss: 0.3033 2022/08/26 18:38:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:38:30 - mmengine - INFO - Epoch(train) [331][5/16] lr: 4.8651e-04 eta: 2:04:59 time: 2.9765 data_time: 0.5479 memory: 63381 loss_text: 0.2064 loss_kernel: 0.1096 loss_embedding: 0.0099 loss: 0.3259 2022/08/26 18:38:42 - mmengine - INFO - Epoch(train) [331][10/16] lr: 4.8651e-04 eta: 2:04:33 time: 2.9594 data_time: 0.5347 memory: 63381 loss_text: 0.2065 loss_kernel: 0.1092 loss_embedding: 0.0112 loss: 0.3268 2022/08/26 18:38:55 - mmengine - INFO - Epoch(train) [331][15/16] lr: 4.8651e-04 eta: 2:04:33 time: 2.4799 data_time: 0.1231 memory: 63381 loss_text: 0.2053 loss_kernel: 0.1090 loss_embedding: 0.0114 loss: 0.3256 2022/08/26 18:38:57 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:39:13 - mmengine - INFO - Epoch(train) [332][5/16] lr: 4.8488e-04 eta: 2:04:33 time: 2.9023 data_time: 0.5833 memory: 63381 loss_text: 0.1901 loss_kernel: 0.1043 loss_embedding: 0.0105 loss: 0.3050 2022/08/26 18:39:26 - mmengine - INFO - Epoch(train) [332][10/16] lr: 4.8488e-04 eta: 2:04:07 time: 2.9740 data_time: 0.5769 memory: 63381 loss_text: 0.1850 loss_kernel: 0.1024 loss_embedding: 0.0101 loss: 0.2975 2022/08/26 18:39:38 - mmengine - INFO - Epoch(train) [332][15/16] lr: 4.8488e-04 eta: 2:04:07 time: 2.4992 data_time: 0.0999 memory: 63381 loss_text: 0.1954 loss_kernel: 0.1036 loss_embedding: 0.0105 loss: 0.3095 2022/08/26 18:39:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:39:58 - mmengine - INFO - Epoch(train) [333][5/16] lr: 4.8325e-04 eta: 2:04:07 time: 2.8717 data_time: 0.5948 memory: 63381 loss_text: 0.2133 loss_kernel: 0.1129 loss_embedding: 0.0111 loss: 0.3372 2022/08/26 18:40:10 - mmengine - INFO - Epoch(train) [333][10/16] lr: 4.8325e-04 eta: 2:03:41 time: 3.0011 data_time: 0.6334 memory: 63381 loss_text: 0.1982 loss_kernel: 0.1055 loss_embedding: 0.0095 loss: 0.3132 2022/08/26 18:40:23 - mmengine - INFO - Epoch(train) [333][15/16] lr: 4.8325e-04 eta: 2:03:41 time: 2.5423 data_time: 0.0915 memory: 63381 loss_text: 0.1990 loss_kernel: 0.1051 loss_embedding: 0.0098 loss: 0.3140 2022/08/26 18:40:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:40:42 - mmengine - INFO - Epoch(train) [334][5/16] lr: 4.8163e-04 eta: 2:03:41 time: 2.8714 data_time: 0.5187 memory: 63381 loss_text: 0.2127 loss_kernel: 0.1123 loss_embedding: 0.0111 loss: 0.3360 2022/08/26 18:40:56 - mmengine - INFO - Epoch(train) [334][10/16] lr: 4.8163e-04 eta: 2:03:16 time: 3.0710 data_time: 0.6124 memory: 63381 loss_text: 0.2259 loss_kernel: 0.1201 loss_embedding: 0.0095 loss: 0.3555 2022/08/26 18:41:07 - mmengine - INFO - Epoch(train) [334][15/16] lr: 4.8163e-04 eta: 2:03:16 time: 2.5161 data_time: 0.1316 memory: 63381 loss_text: 0.1999 loss_kernel: 0.1098 loss_embedding: 0.0091 loss: 0.3188 2022/08/26 18:41:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:41:26 - mmengine - INFO - Epoch(train) [335][5/16] lr: 4.8000e-04 eta: 2:03:16 time: 2.7814 data_time: 0.5974 memory: 63381 loss_text: 0.1913 loss_kernel: 0.1024 loss_embedding: 0.0091 loss: 0.3028 2022/08/26 18:41:38 - mmengine - INFO - Epoch(train) [335][10/16] lr: 4.8000e-04 eta: 2:02:49 time: 2.9437 data_time: 0.6510 memory: 63381 loss_text: 0.2034 loss_kernel: 0.1094 loss_embedding: 0.0091 loss: 0.3219 2022/08/26 18:41:50 - mmengine - INFO - Epoch(train) [335][15/16] lr: 4.8000e-04 eta: 2:02:49 time: 2.4591 data_time: 0.1028 memory: 63381 loss_text: 0.2072 loss_kernel: 0.1122 loss_embedding: 0.0115 loss: 0.3310 2022/08/26 18:41:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:42:10 - mmengine - INFO - Epoch(train) [336][5/16] lr: 4.7836e-04 eta: 2:02:49 time: 2.9282 data_time: 0.5288 memory: 63381 loss_text: 0.1754 loss_kernel: 0.0977 loss_embedding: 0.0107 loss: 0.2838 2022/08/26 18:42:23 - mmengine - INFO - Epoch(train) [336][10/16] lr: 4.7836e-04 eta: 2:02:24 time: 3.0543 data_time: 0.5679 memory: 63381 loss_text: 0.1969 loss_kernel: 0.1063 loss_embedding: 0.0101 loss: 0.3134 2022/08/26 18:42:35 - mmengine - INFO - Epoch(train) [336][15/16] lr: 4.7836e-04 eta: 2:02:24 time: 2.4917 data_time: 0.0810 memory: 63381 loss_text: 0.2250 loss_kernel: 0.1195 loss_embedding: 0.0099 loss: 0.3544 2022/08/26 18:42:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:42:54 - mmengine - INFO - Epoch(train) [337][5/16] lr: 4.7673e-04 eta: 2:02:24 time: 2.9154 data_time: 0.5242 memory: 63381 loss_text: 0.1951 loss_kernel: 0.1043 loss_embedding: 0.0092 loss: 0.3086 2022/08/26 18:43:06 - mmengine - INFO - Epoch(train) [337][10/16] lr: 4.7673e-04 eta: 2:01:58 time: 2.9915 data_time: 0.5702 memory: 63381 loss_text: 0.1922 loss_kernel: 0.1017 loss_embedding: 0.0107 loss: 0.3045 2022/08/26 18:43:18 - mmengine - INFO - Epoch(train) [337][15/16] lr: 4.7673e-04 eta: 2:01:58 time: 2.4009 data_time: 0.0883 memory: 63381 loss_text: 0.1988 loss_kernel: 0.1076 loss_embedding: 0.0106 loss: 0.3170 2022/08/26 18:43:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:43:36 - mmengine - INFO - Epoch(train) [338][5/16] lr: 4.7510e-04 eta: 2:01:58 time: 2.7579 data_time: 0.4860 memory: 63381 loss_text: 0.2030 loss_kernel: 0.1111 loss_embedding: 0.0098 loss: 0.3239 2022/08/26 18:43:49 - mmengine - INFO - Epoch(train) [338][10/16] lr: 4.7510e-04 eta: 2:01:31 time: 2.8874 data_time: 0.5288 memory: 63381 loss_text: 0.2013 loss_kernel: 0.1083 loss_embedding: 0.0109 loss: 0.3205 2022/08/26 18:44:01 - mmengine - INFO - Epoch(train) [338][15/16] lr: 4.7510e-04 eta: 2:01:31 time: 2.4230 data_time: 0.0899 memory: 63381 loss_text: 0.1949 loss_kernel: 0.1037 loss_embedding: 0.0108 loss: 0.3094 2022/08/26 18:44:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:44:22 - mmengine - INFO - Epoch(train) [339][5/16] lr: 4.7347e-04 eta: 2:01:31 time: 3.1018 data_time: 0.5996 memory: 63381 loss_text: 0.2015 loss_kernel: 0.1068 loss_embedding: 0.0116 loss: 0.3199 2022/08/26 18:44:35 - mmengine - INFO - Epoch(train) [339][10/16] lr: 4.7347e-04 eta: 2:01:06 time: 3.1379 data_time: 0.6578 memory: 63381 loss_text: 0.2041 loss_kernel: 0.1093 loss_embedding: 0.0110 loss: 0.3244 2022/08/26 18:44:47 - mmengine - INFO - Epoch(train) [339][15/16] lr: 4.7347e-04 eta: 2:01:06 time: 2.5261 data_time: 0.1176 memory: 63381 loss_text: 0.2094 loss_kernel: 0.1107 loss_embedding: 0.0099 loss: 0.3300 2022/08/26 18:44:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:45:07 - mmengine - INFO - Epoch(train) [340][5/16] lr: 4.7184e-04 eta: 2:01:06 time: 2.9366 data_time: 0.6167 memory: 63381 loss_text: 0.2132 loss_kernel: 0.1114 loss_embedding: 0.0095 loss: 0.3340 2022/08/26 18:45:22 - mmengine - INFO - Epoch(train) [340][10/16] lr: 4.7184e-04 eta: 2:00:42 time: 3.3508 data_time: 0.6554 memory: 63381 loss_text: 0.1966 loss_kernel: 0.1047 loss_embedding: 0.0098 loss: 0.3111 2022/08/26 18:45:34 - mmengine - INFO - Epoch(train) [340][15/16] lr: 4.7184e-04 eta: 2:00:42 time: 2.7540 data_time: 0.1014 memory: 63381 loss_text: 0.1899 loss_kernel: 0.1039 loss_embedding: 0.0101 loss: 0.3040 2022/08/26 18:45:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:45:36 - mmengine - INFO - Saving checkpoint at 340 epochs 2022/08/26 18:45:39 - mmengine - INFO - Epoch(val) [340][5/500] eta: 2:00:42 time: 0.0572 data_time: 0.0148 memory: 39748 2022/08/26 18:45:39 - mmengine - INFO - Epoch(val) [340][10/500] eta: 0:00:28 time: 0.0574 data_time: 0.0148 memory: 661 2022/08/26 18:45:40 - mmengine - INFO - Epoch(val) [340][15/500] eta: 0:00:28 time: 0.0310 data_time: 0.0025 memory: 661 2022/08/26 18:45:40 - mmengine - INFO - Epoch(val) [340][20/500] eta: 0:00:15 time: 0.0327 data_time: 0.0024 memory: 661 2022/08/26 18:45:40 - mmengine - INFO - Epoch(val) [340][25/500] eta: 0:00:15 time: 0.0349 data_time: 0.0023 memory: 661 2022/08/26 18:45:40 - mmengine - INFO - Epoch(val) [340][30/500] eta: 0:00:19 time: 0.0407 data_time: 0.0023 memory: 661 2022/08/26 18:45:40 - mmengine - INFO - Epoch(val) [340][35/500] eta: 0:00:19 time: 0.0347 data_time: 0.0022 memory: 661 2022/08/26 18:45:40 - mmengine - INFO - Epoch(val) [340][40/500] eta: 0:00:14 time: 0.0314 data_time: 0.0022 memory: 661 2022/08/26 18:45:41 - mmengine - INFO - Epoch(val) [340][45/500] eta: 0:00:14 time: 0.0306 data_time: 0.0024 memory: 661 2022/08/26 18:45:41 - mmengine - INFO - Epoch(val) [340][50/500] eta: 0:00:11 time: 0.0256 data_time: 0.0024 memory: 661 2022/08/26 18:45:41 - mmengine - INFO - Epoch(val) [340][55/500] eta: 0:00:11 time: 0.0246 data_time: 0.0022 memory: 661 2022/08/26 18:45:41 - mmengine - INFO - Epoch(val) [340][60/500] eta: 0:00:10 time: 0.0229 data_time: 0.0020 memory: 661 2022/08/26 18:45:41 - mmengine - INFO - Epoch(val) [340][65/500] eta: 0:00:10 time: 0.0232 data_time: 0.0019 memory: 661 2022/08/26 18:45:41 - mmengine - INFO - Epoch(val) [340][70/500] eta: 0:00:10 time: 0.0247 data_time: 0.0018 memory: 661 2022/08/26 18:45:41 - mmengine - INFO - Epoch(val) [340][75/500] eta: 0:00:10 time: 0.0230 data_time: 0.0019 memory: 661 2022/08/26 18:45:41 - mmengine - INFO - Epoch(val) [340][80/500] eta: 0:00:09 time: 0.0216 data_time: 0.0025 memory: 661 2022/08/26 18:45:42 - mmengine - INFO - Epoch(val) [340][85/500] eta: 0:00:09 time: 0.0201 data_time: 0.0025 memory: 661 2022/08/26 18:45:42 - mmengine - INFO - Epoch(val) [340][90/500] eta: 0:00:10 time: 0.0254 data_time: 0.0018 memory: 661 2022/08/26 18:45:42 - mmengine - INFO - Epoch(val) [340][95/500] eta: 0:00:10 time: 0.0349 data_time: 0.0022 memory: 661 2022/08/26 18:45:42 - mmengine - INFO - Epoch(val) [340][100/500] eta: 0:00:14 time: 0.0352 data_time: 0.0024 memory: 661 2022/08/26 18:45:42 - mmengine - INFO - Epoch(val) [340][105/500] eta: 0:00:14 time: 0.0332 data_time: 0.0023 memory: 661 2022/08/26 18:45:42 - mmengine - INFO - Epoch(val) [340][110/500] eta: 0:00:10 time: 0.0275 data_time: 0.0022 memory: 661 2022/08/26 18:45:43 - mmengine - INFO - Epoch(val) [340][115/500] eta: 0:00:10 time: 0.0322 data_time: 0.0023 memory: 661 2022/08/26 18:45:43 - mmengine - INFO - Epoch(val) [340][120/500] eta: 0:00:16 time: 0.0431 data_time: 0.0024 memory: 661 2022/08/26 18:45:43 - mmengine - INFO - Epoch(val) [340][125/500] eta: 0:00:16 time: 0.0404 data_time: 0.0024 memory: 661 2022/08/26 18:45:43 - mmengine - INFO - Epoch(val) [340][130/500] eta: 0:00:15 time: 0.0407 data_time: 0.0024 memory: 661 2022/08/26 18:45:43 - mmengine - INFO - Epoch(val) [340][135/500] eta: 0:00:15 time: 0.0400 data_time: 0.0025 memory: 661 2022/08/26 18:45:44 - mmengine - INFO - Epoch(val) [340][140/500] eta: 0:00:13 time: 0.0362 data_time: 0.0025 memory: 661 2022/08/26 18:45:44 - mmengine - INFO - Epoch(val) [340][145/500] eta: 0:00:13 time: 0.0316 data_time: 0.0024 memory: 661 2022/08/26 18:45:44 - mmengine - INFO - Epoch(val) [340][150/500] eta: 0:00:11 time: 0.0336 data_time: 0.0023 memory: 661 2022/08/26 18:45:44 - mmengine - INFO - Epoch(val) [340][155/500] eta: 0:00:11 time: 0.0443 data_time: 0.0026 memory: 661 2022/08/26 18:45:44 - mmengine - INFO - Epoch(val) [340][160/500] eta: 0:00:12 time: 0.0382 data_time: 0.0023 memory: 661 2022/08/26 18:45:44 - mmengine - INFO - Epoch(val) [340][165/500] eta: 0:00:12 time: 0.0345 data_time: 0.0023 memory: 661 2022/08/26 18:45:45 - mmengine - INFO - Epoch(val) [340][170/500] eta: 0:00:10 time: 0.0331 data_time: 0.0022 memory: 661 2022/08/26 18:45:45 - mmengine - INFO - Epoch(val) [340][175/500] eta: 0:00:10 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 18:45:45 - mmengine - INFO - Epoch(val) [340][180/500] eta: 0:00:07 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 18:45:45 - mmengine - INFO - Epoch(val) [340][185/500] eta: 0:00:07 time: 0.0243 data_time: 0.0021 memory: 661 2022/08/26 18:45:45 - mmengine - INFO - Epoch(val) [340][190/500] eta: 0:00:07 time: 0.0246 data_time: 0.0022 memory: 661 2022/08/26 18:45:45 - mmengine - INFO - Epoch(val) [340][195/500] eta: 0:00:07 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 18:45:45 - mmengine - INFO - Epoch(val) [340][200/500] eta: 0:00:07 time: 0.0242 data_time: 0.0020 memory: 661 2022/08/26 18:45:45 - mmengine - INFO - Epoch(val) [340][205/500] eta: 0:00:07 time: 0.0244 data_time: 0.0021 memory: 661 2022/08/26 18:45:45 - mmengine - INFO - Epoch(val) [340][210/500] eta: 0:00:06 time: 0.0213 data_time: 0.0024 memory: 661 2022/08/26 18:45:46 - mmengine - INFO - Epoch(val) [340][215/500] eta: 0:00:06 time: 0.0228 data_time: 0.0027 memory: 661 2022/08/26 18:45:46 - mmengine - INFO - Epoch(val) [340][220/500] eta: 0:00:06 time: 0.0242 data_time: 0.0024 memory: 661 2022/08/26 18:45:46 - mmengine - INFO - Epoch(val) [340][225/500] eta: 0:00:06 time: 0.0266 data_time: 0.0025 memory: 661 2022/08/26 18:45:46 - mmengine - INFO - Epoch(val) [340][230/500] eta: 0:00:06 time: 0.0251 data_time: 0.0026 memory: 661 2022/08/26 18:45:46 - mmengine - INFO - Epoch(val) [340][235/500] eta: 0:00:06 time: 0.0236 data_time: 0.0025 memory: 661 2022/08/26 18:45:46 - mmengine - INFO - Epoch(val) [340][240/500] eta: 0:00:06 time: 0.0256 data_time: 0.0025 memory: 661 2022/08/26 18:45:46 - mmengine - INFO - Epoch(val) [340][245/500] eta: 0:00:06 time: 0.0238 data_time: 0.0024 memory: 661 2022/08/26 18:45:46 - mmengine - INFO - Epoch(val) [340][250/500] eta: 0:00:05 time: 0.0236 data_time: 0.0022 memory: 661 2022/08/26 18:45:47 - mmengine - INFO - Epoch(val) [340][255/500] eta: 0:00:05 time: 0.0244 data_time: 0.0021 memory: 661 2022/08/26 18:45:47 - mmengine - INFO - Epoch(val) [340][260/500] eta: 0:00:05 time: 0.0236 data_time: 0.0022 memory: 661 2022/08/26 18:45:47 - mmengine - INFO - Epoch(val) [340][265/500] eta: 0:00:05 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 18:45:47 - mmengine - INFO - Epoch(val) [340][270/500] eta: 0:00:05 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 18:45:47 - mmengine - INFO - Epoch(val) [340][275/500] eta: 0:00:05 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 18:45:47 - mmengine - INFO - Epoch(val) [340][280/500] eta: 0:00:07 time: 0.0337 data_time: 0.0026 memory: 661 2022/08/26 18:45:47 - mmengine - INFO - Epoch(val) [340][285/500] eta: 0:00:07 time: 0.0365 data_time: 0.0027 memory: 661 2022/08/26 18:45:48 - mmengine - INFO - Epoch(val) [340][290/500] eta: 0:00:07 time: 0.0346 data_time: 0.0025 memory: 661 2022/08/26 18:45:48 - mmengine - INFO - Epoch(val) [340][295/500] eta: 0:00:07 time: 0.0418 data_time: 0.0027 memory: 661 2022/08/26 18:45:48 - mmengine - INFO - Epoch(val) [340][300/500] eta: 0:00:06 time: 0.0329 data_time: 0.0025 memory: 661 2022/08/26 18:45:48 - mmengine - INFO - Epoch(val) [340][305/500] eta: 0:00:06 time: 0.0352 data_time: 0.0024 memory: 661 2022/08/26 18:45:48 - mmengine - INFO - Epoch(val) [340][310/500] eta: 0:00:07 time: 0.0402 data_time: 0.0024 memory: 661 2022/08/26 18:45:49 - mmengine - INFO - Epoch(val) [340][315/500] eta: 0:00:07 time: 0.0534 data_time: 0.0074 memory: 661 2022/08/26 18:45:49 - mmengine - INFO - Epoch(val) [340][320/500] eta: 0:00:10 time: 0.0587 data_time: 0.0078 memory: 661 2022/08/26 18:45:49 - mmengine - INFO - Epoch(val) [340][325/500] eta: 0:00:10 time: 0.0525 data_time: 0.0027 memory: 661 2022/08/26 18:45:49 - mmengine - INFO - Epoch(val) [340][330/500] eta: 0:00:08 time: 0.0517 data_time: 0.0025 memory: 661 2022/08/26 18:45:50 - mmengine - INFO - Epoch(val) [340][335/500] eta: 0:00:08 time: 0.0575 data_time: 0.0037 memory: 661 2022/08/26 18:45:50 - mmengine - INFO - Epoch(val) [340][340/500] eta: 0:00:09 time: 0.0603 data_time: 0.0038 memory: 661 2022/08/26 18:45:50 - mmengine - INFO - Epoch(val) [340][345/500] eta: 0:00:09 time: 0.0463 data_time: 0.0025 memory: 661 2022/08/26 18:45:50 - mmengine - INFO - Epoch(val) [340][350/500] eta: 0:00:05 time: 0.0382 data_time: 0.0032 memory: 661 2022/08/26 18:45:51 - mmengine - INFO - Epoch(val) [340][355/500] eta: 0:00:05 time: 0.0276 data_time: 0.0030 memory: 661 2022/08/26 18:45:51 - mmengine - INFO - Epoch(val) [340][360/500] eta: 0:00:07 time: 0.0560 data_time: 0.0129 memory: 661 2022/08/26 18:45:51 - mmengine - INFO - Epoch(val) [340][365/500] eta: 0:00:07 time: 0.0569 data_time: 0.0139 memory: 661 2022/08/26 18:45:51 - mmengine - INFO - Epoch(val) [340][370/500] eta: 0:00:02 time: 0.0216 data_time: 0.0030 memory: 661 2022/08/26 18:45:51 - mmengine - INFO - Epoch(val) [340][375/500] eta: 0:00:02 time: 0.0196 data_time: 0.0019 memory: 661 2022/08/26 18:45:51 - mmengine - INFO - Epoch(val) [340][380/500] eta: 0:00:02 time: 0.0229 data_time: 0.0025 memory: 661 2022/08/26 18:45:52 - mmengine - INFO - Epoch(val) [340][385/500] eta: 0:00:02 time: 0.0237 data_time: 0.0025 memory: 661 2022/08/26 18:45:52 - mmengine - INFO - Epoch(val) [340][390/500] eta: 0:00:02 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 18:45:52 - mmengine - INFO - Epoch(val) [340][395/500] eta: 0:00:02 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 18:45:52 - mmengine - INFO - Epoch(val) [340][400/500] eta: 0:00:02 time: 0.0216 data_time: 0.0020 memory: 661 2022/08/26 18:45:52 - mmengine - INFO - Epoch(val) [340][405/500] eta: 0:00:02 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 18:45:52 - mmengine - INFO - Epoch(val) [340][410/500] eta: 0:00:02 time: 0.0240 data_time: 0.0023 memory: 661 2022/08/26 18:45:52 - mmengine - INFO - Epoch(val) [340][415/500] eta: 0:00:02 time: 0.0281 data_time: 0.0022 memory: 661 2022/08/26 18:45:52 - mmengine - INFO - Epoch(val) [340][420/500] eta: 0:00:02 time: 0.0333 data_time: 0.0022 memory: 661 2022/08/26 18:45:53 - mmengine - INFO - Epoch(val) [340][425/500] eta: 0:00:02 time: 0.0306 data_time: 0.0025 memory: 661 2022/08/26 18:45:53 - mmengine - INFO - Epoch(val) [340][430/500] eta: 0:00:02 time: 0.0311 data_time: 0.0023 memory: 661 2022/08/26 18:45:53 - mmengine - INFO - Epoch(val) [340][435/500] eta: 0:00:02 time: 0.0333 data_time: 0.0021 memory: 661 2022/08/26 18:45:53 - mmengine - INFO - Epoch(val) [340][440/500] eta: 0:00:02 time: 0.0367 data_time: 0.0022 memory: 661 2022/08/26 18:45:53 - mmengine - INFO - Epoch(val) [340][445/500] eta: 0:00:02 time: 0.0436 data_time: 0.0023 memory: 661 2022/08/26 18:45:54 - mmengine - INFO - Epoch(val) [340][450/500] eta: 0:00:01 time: 0.0364 data_time: 0.0022 memory: 661 2022/08/26 18:45:54 - mmengine - INFO - Epoch(val) [340][455/500] eta: 0:00:01 time: 0.0359 data_time: 0.0027 memory: 661 2022/08/26 18:45:54 - mmengine - INFO - Epoch(val) [340][460/500] eta: 0:00:01 time: 0.0424 data_time: 0.0032 memory: 661 2022/08/26 18:45:54 - mmengine - INFO - Epoch(val) [340][465/500] eta: 0:00:01 time: 0.0344 data_time: 0.0025 memory: 661 2022/08/26 18:45:54 - mmengine - INFO - Epoch(val) [340][470/500] eta: 0:00:00 time: 0.0330 data_time: 0.0022 memory: 661 2022/08/26 18:45:54 - mmengine - INFO - Epoch(val) [340][475/500] eta: 0:00:00 time: 0.0320 data_time: 0.0023 memory: 661 2022/08/26 18:45:55 - mmengine - INFO - Epoch(val) [340][480/500] eta: 0:00:00 time: 0.0317 data_time: 0.0023 memory: 661 2022/08/26 18:45:55 - mmengine - INFO - Epoch(val) [340][485/500] eta: 0:00:00 time: 0.0399 data_time: 0.0024 memory: 661 2022/08/26 18:45:55 - mmengine - INFO - Epoch(val) [340][490/500] eta: 0:00:00 time: 0.0417 data_time: 0.0038 memory: 661 2022/08/26 18:45:55 - mmengine - INFO - Epoch(val) [340][495/500] eta: 0:00:00 time: 0.0351 data_time: 0.0036 memory: 661 2022/08/26 18:45:55 - mmengine - INFO - Epoch(val) [340][500/500] eta: 0:00:00 time: 0.0243 data_time: 0.0020 memory: 661 2022/08/26 18:45:55 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7530, precision: 0.7600, hmean: 0.7565 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7530, precision: 0.7600, hmean: 0.7565 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7530, precision: 0.7600, hmean: 0.7565 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7530, precision: 0.7600, hmean: 0.7565 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7530, precision: 0.7600, hmean: 0.7565 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7530, precision: 0.7603, hmean: 0.7567 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7530, precision: 0.7663, hmean: 0.7596 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7525, precision: 0.7768, hmean: 0.7645 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7520, precision: 0.7849, hmean: 0.7681 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7496, precision: 0.7972, hmean: 0.7727 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7453, precision: 0.8100, hmean: 0.7763 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7362, precision: 0.8274, hmean: 0.7791 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7015, precision: 0.8571, hmean: 0.7715 2022/08/26 18:45:55 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3678, precision: 0.9052, hmean: 0.5231 2022/08/26 18:45:55 - mmengine - INFO - Epoch(val) [340][500/500] icdar/precision: 0.8274 icdar/recall: 0.7362 icdar/hmean: 0.7791 2022/08/26 18:46:12 - mmengine - INFO - Epoch(train) [341][5/16] lr: 4.7020e-04 eta: 0:00:00 time: 2.7600 data_time: 0.5047 memory: 63381 loss_text: 0.2149 loss_kernel: 0.1145 loss_embedding: 0.0109 loss: 0.3404 2022/08/26 18:46:25 - mmengine - INFO - Epoch(train) [341][10/16] lr: 4.7020e-04 eta: 2:00:16 time: 2.9327 data_time: 0.5584 memory: 63381 loss_text: 0.2161 loss_kernel: 0.1131 loss_embedding: 0.0106 loss: 0.3398 2022/08/26 18:46:38 - mmengine - INFO - Epoch(train) [341][15/16] lr: 4.7020e-04 eta: 2:00:16 time: 2.5933 data_time: 0.0958 memory: 63381 loss_text: 0.2141 loss_kernel: 0.1125 loss_embedding: 0.0105 loss: 0.3371 2022/08/26 18:46:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:46:57 - mmengine - INFO - Epoch(train) [342][5/16] lr: 4.6857e-04 eta: 2:00:16 time: 2.9817 data_time: 0.5069 memory: 63381 loss_text: 0.2006 loss_kernel: 0.1067 loss_embedding: 0.0096 loss: 0.3169 2022/08/26 18:47:10 - mmengine - INFO - Epoch(train) [342][10/16] lr: 4.6857e-04 eta: 1:59:49 time: 2.9904 data_time: 0.5440 memory: 63381 loss_text: 0.1895 loss_kernel: 0.1011 loss_embedding: 0.0095 loss: 0.3001 2022/08/26 18:47:22 - mmengine - INFO - Epoch(train) [342][15/16] lr: 4.6857e-04 eta: 1:59:49 time: 2.5140 data_time: 0.0906 memory: 63381 loss_text: 0.2082 loss_kernel: 0.1095 loss_embedding: 0.0106 loss: 0.3283 2022/08/26 18:47:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:47:42 - mmengine - INFO - Epoch(train) [343][5/16] lr: 4.6693e-04 eta: 1:59:49 time: 2.9522 data_time: 0.5120 memory: 63381 loss_text: 0.2223 loss_kernel: 0.1206 loss_embedding: 0.0118 loss: 0.3547 2022/08/26 18:47:54 - mmengine - INFO - Epoch(train) [343][10/16] lr: 4.6693e-04 eta: 1:59:24 time: 3.0580 data_time: 0.5670 memory: 63381 loss_text: 0.2109 loss_kernel: 0.1151 loss_embedding: 0.0103 loss: 0.3363 2022/08/26 18:48:07 - mmengine - INFO - Epoch(train) [343][15/16] lr: 4.6693e-04 eta: 1:59:24 time: 2.5030 data_time: 0.1481 memory: 63381 loss_text: 0.2034 loss_kernel: 0.1091 loss_embedding: 0.0088 loss: 0.3213 2022/08/26 18:48:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:48:26 - mmengine - INFO - Epoch(train) [344][5/16] lr: 4.6530e-04 eta: 1:59:24 time: 2.8913 data_time: 0.5555 memory: 63381 loss_text: 0.1809 loss_kernel: 0.0988 loss_embedding: 0.0091 loss: 0.2888 2022/08/26 18:48:39 - mmengine - INFO - Epoch(train) [344][10/16] lr: 4.6530e-04 eta: 1:58:57 time: 2.9807 data_time: 0.5618 memory: 63381 loss_text: 0.1935 loss_kernel: 0.1034 loss_embedding: 0.0090 loss: 0.3059 2022/08/26 18:48:53 - mmengine - INFO - Epoch(train) [344][15/16] lr: 4.6530e-04 eta: 1:58:57 time: 2.7683 data_time: 0.1328 memory: 63381 loss_text: 0.1935 loss_kernel: 0.1030 loss_embedding: 0.0110 loss: 0.3075 2022/08/26 18:48:56 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:49:14 - mmengine - INFO - Epoch(train) [345][5/16] lr: 4.6366e-04 eta: 1:58:57 time: 3.1962 data_time: 0.6089 memory: 63381 loss_text: 0.1936 loss_kernel: 0.1013 loss_embedding: 0.0114 loss: 0.3063 2022/08/26 18:49:27 - mmengine - INFO - Epoch(train) [345][10/16] lr: 4.6366e-04 eta: 1:58:32 time: 3.0778 data_time: 0.6324 memory: 63381 loss_text: 0.1998 loss_kernel: 0.1055 loss_embedding: 0.0111 loss: 0.3163 2022/08/26 18:49:39 - mmengine - INFO - Epoch(train) [345][15/16] lr: 4.6366e-04 eta: 1:58:32 time: 2.5009 data_time: 0.1007 memory: 63381 loss_text: 0.2027 loss_kernel: 0.1116 loss_embedding: 0.0112 loss: 0.3254 2022/08/26 18:49:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:49:57 - mmengine - INFO - Epoch(train) [346][5/16] lr: 4.6203e-04 eta: 1:58:32 time: 2.7912 data_time: 0.5360 memory: 63381 loss_text: 0.2223 loss_kernel: 0.1202 loss_embedding: 0.0107 loss: 0.3532 2022/08/26 18:50:12 - mmengine - INFO - Epoch(train) [346][10/16] lr: 4.6203e-04 eta: 1:58:06 time: 3.1216 data_time: 0.6357 memory: 63381 loss_text: 0.2091 loss_kernel: 0.1130 loss_embedding: 0.0108 loss: 0.3329 2022/08/26 18:50:24 - mmengine - INFO - Epoch(train) [346][15/16] lr: 4.6203e-04 eta: 1:58:06 time: 2.7151 data_time: 0.1648 memory: 63381 loss_text: 0.1933 loss_kernel: 0.1050 loss_embedding: 0.0106 loss: 0.3089 2022/08/26 18:50:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:50:44 - mmengine - INFO - Epoch(train) [347][5/16] lr: 4.6039e-04 eta: 1:58:06 time: 2.9628 data_time: 0.5310 memory: 63381 loss_text: 0.1798 loss_kernel: 0.0991 loss_embedding: 0.0095 loss: 0.2884 2022/08/26 18:50:57 - mmengine - INFO - Epoch(train) [347][10/16] lr: 4.6039e-04 eta: 1:57:41 time: 3.0857 data_time: 0.6068 memory: 63381 loss_text: 0.1621 loss_kernel: 0.0907 loss_embedding: 0.0093 loss: 0.2621 2022/08/26 18:51:09 - mmengine - INFO - Epoch(train) [347][15/16] lr: 4.6039e-04 eta: 1:57:41 time: 2.5144 data_time: 0.1368 memory: 63381 loss_text: 0.1959 loss_kernel: 0.1057 loss_embedding: 0.0087 loss: 0.3103 2022/08/26 18:51:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:51:29 - mmengine - INFO - Epoch(train) [348][5/16] lr: 4.5875e-04 eta: 1:57:41 time: 2.9698 data_time: 0.6294 memory: 63381 loss_text: 0.2215 loss_kernel: 0.1184 loss_embedding: 0.0093 loss: 0.3492 2022/08/26 18:51:43 - mmengine - INFO - Epoch(train) [348][10/16] lr: 4.5875e-04 eta: 1:57:16 time: 3.1786 data_time: 0.6592 memory: 63381 loss_text: 0.2141 loss_kernel: 0.1159 loss_embedding: 0.0096 loss: 0.3397 2022/08/26 18:51:56 - mmengine - INFO - Epoch(train) [348][15/16] lr: 4.5875e-04 eta: 1:57:16 time: 2.6366 data_time: 0.1211 memory: 63381 loss_text: 0.2022 loss_kernel: 0.1100 loss_embedding: 0.0097 loss: 0.3219 2022/08/26 18:51:57 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:52:15 - mmengine - INFO - Epoch(train) [349][5/16] lr: 4.5711e-04 eta: 1:57:16 time: 2.9521 data_time: 0.5877 memory: 63381 loss_text: 0.2090 loss_kernel: 0.1096 loss_embedding: 0.0093 loss: 0.3278 2022/08/26 18:52:28 - mmengine - INFO - Epoch(train) [349][10/16] lr: 4.5711e-04 eta: 1:56:50 time: 3.1144 data_time: 0.5963 memory: 63381 loss_text: 0.2190 loss_kernel: 0.1158 loss_embedding: 0.0087 loss: 0.3435 2022/08/26 18:52:42 - mmengine - INFO - Epoch(train) [349][15/16] lr: 4.5711e-04 eta: 1:56:50 time: 2.6558 data_time: 0.1313 memory: 63381 loss_text: 0.2046 loss_kernel: 0.1112 loss_embedding: 0.0098 loss: 0.3255 2022/08/26 18:52:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:53:00 - mmengine - INFO - Epoch(train) [350][5/16] lr: 4.5547e-04 eta: 1:56:50 time: 2.8680 data_time: 0.5911 memory: 63381 loss_text: 0.1921 loss_kernel: 0.1043 loss_embedding: 0.0106 loss: 0.3071 2022/08/26 18:53:13 - mmengine - INFO - Epoch(train) [350][10/16] lr: 4.5547e-04 eta: 1:56:23 time: 2.9787 data_time: 0.5755 memory: 63381 loss_text: 0.2122 loss_kernel: 0.1125 loss_embedding: 0.0093 loss: 0.3341 2022/08/26 18:53:26 - mmengine - INFO - Epoch(train) [350][15/16] lr: 4.5547e-04 eta: 1:56:23 time: 2.6368 data_time: 0.0926 memory: 63381 loss_text: 0.2064 loss_kernel: 0.1100 loss_embedding: 0.0098 loss: 0.3262 2022/08/26 18:53:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:53:47 - mmengine - INFO - Epoch(train) [351][5/16] lr: 4.5383e-04 eta: 1:56:23 time: 3.1813 data_time: 0.5276 memory: 63381 loss_text: 0.1870 loss_kernel: 0.1011 loss_embedding: 0.0097 loss: 0.2979 2022/08/26 18:54:00 - mmengine - INFO - Epoch(train) [351][10/16] lr: 4.5383e-04 eta: 1:55:58 time: 3.2013 data_time: 0.5860 memory: 63381 loss_text: 0.2208 loss_kernel: 0.1163 loss_embedding: 0.0102 loss: 0.3473 2022/08/26 18:54:12 - mmengine - INFO - Epoch(train) [351][15/16] lr: 4.5383e-04 eta: 1:55:58 time: 2.5037 data_time: 0.1090 memory: 63381 loss_text: 0.2058 loss_kernel: 0.1110 loss_embedding: 0.0095 loss: 0.3262 2022/08/26 18:54:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:54:31 - mmengine - INFO - Epoch(train) [352][5/16] lr: 4.5219e-04 eta: 1:55:58 time: 2.8813 data_time: 0.4866 memory: 63381 loss_text: 0.1790 loss_kernel: 0.0982 loss_embedding: 0.0090 loss: 0.2862 2022/08/26 18:54:44 - mmengine - INFO - Epoch(train) [352][10/16] lr: 4.5219e-04 eta: 1:55:32 time: 3.0380 data_time: 0.5615 memory: 63381 loss_text: 0.1934 loss_kernel: 0.1048 loss_embedding: 0.0090 loss: 0.3073 2022/08/26 18:54:58 - mmengine - INFO - Epoch(train) [352][15/16] lr: 4.5219e-04 eta: 1:55:32 time: 2.6880 data_time: 0.1235 memory: 63381 loss_text: 0.1970 loss_kernel: 0.1091 loss_embedding: 0.0092 loss: 0.3153 2022/08/26 18:55:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:55:16 - mmengine - INFO - Epoch(train) [353][5/16] lr: 4.5055e-04 eta: 1:55:32 time: 2.9650 data_time: 0.5044 memory: 63381 loss_text: 0.2023 loss_kernel: 0.1106 loss_embedding: 0.0095 loss: 0.3224 2022/08/26 18:55:30 - mmengine - INFO - Epoch(train) [353][10/16] lr: 4.5055e-04 eta: 1:55:06 time: 2.9974 data_time: 0.5408 memory: 63381 loss_text: 0.2010 loss_kernel: 0.1076 loss_embedding: 0.0087 loss: 0.3173 2022/08/26 18:55:42 - mmengine - INFO - Epoch(train) [353][15/16] lr: 4.5055e-04 eta: 1:55:06 time: 2.5570 data_time: 0.0927 memory: 63381 loss_text: 0.1924 loss_kernel: 0.1044 loss_embedding: 0.0094 loss: 0.3062 2022/08/26 18:55:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:56:03 - mmengine - INFO - Epoch(train) [354][5/16] lr: 4.4891e-04 eta: 1:55:06 time: 3.1315 data_time: 0.6261 memory: 63381 loss_text: 0.2121 loss_kernel: 0.1152 loss_embedding: 0.0098 loss: 0.3371 2022/08/26 18:56:15 - mmengine - INFO - Epoch(train) [354][10/16] lr: 4.4891e-04 eta: 1:54:41 time: 3.1908 data_time: 0.6694 memory: 63381 loss_text: 0.2092 loss_kernel: 0.1119 loss_embedding: 0.0111 loss: 0.3321 2022/08/26 18:56:27 - mmengine - INFO - Epoch(train) [354][15/16] lr: 4.4891e-04 eta: 1:54:41 time: 2.3583 data_time: 0.0827 memory: 63381 loss_text: 0.1949 loss_kernel: 0.1059 loss_embedding: 0.0103 loss: 0.3111 2022/08/26 18:56:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:56:46 - mmengine - INFO - Epoch(train) [355][5/16] lr: 4.4727e-04 eta: 1:54:41 time: 2.8583 data_time: 0.5889 memory: 63381 loss_text: 0.2117 loss_kernel: 0.1146 loss_embedding: 0.0078 loss: 0.3341 2022/08/26 18:56:59 - mmengine - INFO - Epoch(train) [355][10/16] lr: 4.4727e-04 eta: 1:54:14 time: 3.0133 data_time: 0.6317 memory: 63381 loss_text: 0.2047 loss_kernel: 0.1126 loss_embedding: 0.0072 loss: 0.3245 2022/08/26 18:57:12 - mmengine - INFO - Epoch(train) [355][15/16] lr: 4.4727e-04 eta: 1:54:14 time: 2.6156 data_time: 0.1094 memory: 63381 loss_text: 0.2058 loss_kernel: 0.1121 loss_embedding: 0.0083 loss: 0.3262 2022/08/26 18:57:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:57:32 - mmengine - INFO - Epoch(train) [356][5/16] lr: 4.4562e-04 eta: 1:54:14 time: 2.9494 data_time: 0.5127 memory: 63381 loss_text: 0.1969 loss_kernel: 0.1062 loss_embedding: 0.0089 loss: 0.3120 2022/08/26 18:57:44 - mmengine - INFO - Epoch(train) [356][10/16] lr: 4.4562e-04 eta: 1:53:47 time: 2.9437 data_time: 0.5480 memory: 63381 loss_text: 0.1990 loss_kernel: 0.1052 loss_embedding: 0.0096 loss: 0.3137 2022/08/26 18:57:56 - mmengine - INFO - Epoch(train) [356][15/16] lr: 4.4562e-04 eta: 1:53:47 time: 2.4763 data_time: 0.1096 memory: 63381 loss_text: 0.1900 loss_kernel: 0.1018 loss_embedding: 0.0095 loss: 0.3013 2022/08/26 18:57:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:58:15 - mmengine - INFO - Epoch(train) [357][5/16] lr: 4.4398e-04 eta: 1:53:47 time: 2.8309 data_time: 0.5059 memory: 63381 loss_text: 0.1942 loss_kernel: 0.1055 loss_embedding: 0.0095 loss: 0.3092 2022/08/26 18:58:31 - mmengine - INFO - Epoch(train) [357][10/16] lr: 4.4398e-04 eta: 1:53:23 time: 3.2738 data_time: 0.5528 memory: 63381 loss_text: 0.2036 loss_kernel: 0.1076 loss_embedding: 0.0100 loss: 0.3212 2022/08/26 18:58:44 - mmengine - INFO - Epoch(train) [357][15/16] lr: 4.4398e-04 eta: 1:53:23 time: 2.9298 data_time: 0.1425 memory: 63381 loss_text: 0.2065 loss_kernel: 0.1094 loss_embedding: 0.0105 loss: 0.3263 2022/08/26 18:58:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:59:03 - mmengine - INFO - Epoch(train) [358][5/16] lr: 4.4233e-04 eta: 1:53:23 time: 2.9630 data_time: 0.5618 memory: 63381 loss_text: 0.2121 loss_kernel: 0.1113 loss_embedding: 0.0093 loss: 0.3327 2022/08/26 18:59:15 - mmengine - INFO - Epoch(train) [358][10/16] lr: 4.4233e-04 eta: 1:52:56 time: 2.9172 data_time: 0.5725 memory: 63381 loss_text: 0.2102 loss_kernel: 0.1143 loss_embedding: 0.0096 loss: 0.3341 2022/08/26 18:59:28 - mmengine - INFO - Epoch(train) [358][15/16] lr: 4.4233e-04 eta: 1:52:56 time: 2.4859 data_time: 0.1270 memory: 63381 loss_text: 0.1817 loss_kernel: 0.1029 loss_embedding: 0.0100 loss: 0.2946 2022/08/26 18:59:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 18:59:48 - mmengine - INFO - Epoch(train) [359][5/16] lr: 4.4069e-04 eta: 1:52:56 time: 3.0286 data_time: 0.6294 memory: 63381 loss_text: 0.2117 loss_kernel: 0.1133 loss_embedding: 0.0087 loss: 0.3336 2022/08/26 19:00:01 - mmengine - INFO - Epoch(train) [359][10/16] lr: 4.4069e-04 eta: 1:52:30 time: 3.1299 data_time: 0.6613 memory: 63381 loss_text: 0.2049 loss_kernel: 0.1087 loss_embedding: 0.0090 loss: 0.3227 2022/08/26 19:00:13 - mmengine - INFO - Epoch(train) [359][15/16] lr: 4.4069e-04 eta: 1:52:30 time: 2.5020 data_time: 0.1202 memory: 63381 loss_text: 0.2001 loss_kernel: 0.1055 loss_embedding: 0.0100 loss: 0.3156 2022/08/26 19:00:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:00:31 - mmengine - INFO - Epoch(train) [360][5/16] lr: 4.3904e-04 eta: 1:52:30 time: 2.7974 data_time: 0.4944 memory: 63381 loss_text: 0.2096 loss_kernel: 0.1085 loss_embedding: 0.0090 loss: 0.3271 2022/08/26 19:00:44 - mmengine - INFO - Epoch(train) [360][10/16] lr: 4.3904e-04 eta: 1:52:03 time: 2.9347 data_time: 0.5413 memory: 63381 loss_text: 0.2142 loss_kernel: 0.1133 loss_embedding: 0.0088 loss: 0.3363 2022/08/26 19:01:00 - mmengine - INFO - Epoch(train) [360][15/16] lr: 4.3904e-04 eta: 1:52:03 time: 2.8516 data_time: 0.1135 memory: 63381 loss_text: 0.2064 loss_kernel: 0.1136 loss_embedding: 0.0111 loss: 0.3311 2022/08/26 19:01:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:01:02 - mmengine - INFO - Saving checkpoint at 360 epochs 2022/08/26 19:01:06 - mmengine - INFO - Epoch(val) [360][5/500] eta: 1:52:03 time: 0.0518 data_time: 0.0120 memory: 39748 2022/08/26 19:01:06 - mmengine - INFO - Epoch(val) [360][10/500] eta: 0:00:25 time: 0.0530 data_time: 0.0118 memory: 661 2022/08/26 19:01:06 - mmengine - INFO - Epoch(val) [360][15/500] eta: 0:00:25 time: 0.0226 data_time: 0.0017 memory: 661 2022/08/26 19:01:06 - mmengine - INFO - Epoch(val) [360][20/500] eta: 0:00:10 time: 0.0218 data_time: 0.0019 memory: 661 2022/08/26 19:01:06 - mmengine - INFO - Epoch(val) [360][25/500] eta: 0:00:10 time: 0.0206 data_time: 0.0018 memory: 661 2022/08/26 19:01:06 - mmengine - INFO - Epoch(val) [360][30/500] eta: 0:00:10 time: 0.0221 data_time: 0.0017 memory: 661 2022/08/26 19:01:06 - mmengine - INFO - Epoch(val) [360][35/500] eta: 0:00:10 time: 0.0220 data_time: 0.0016 memory: 661 2022/08/26 19:01:06 - mmengine - INFO - Epoch(val) [360][40/500] eta: 0:00:10 time: 0.0226 data_time: 0.0016 memory: 661 2022/08/26 19:01:06 - mmengine - INFO - Epoch(val) [360][45/500] eta: 0:00:10 time: 0.0243 data_time: 0.0018 memory: 661 2022/08/26 19:01:07 - mmengine - INFO - Epoch(val) [360][50/500] eta: 0:00:10 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 19:01:07 - mmengine - INFO - Epoch(val) [360][55/500] eta: 0:00:10 time: 0.0236 data_time: 0.0020 memory: 661 2022/08/26 19:01:07 - mmengine - INFO - Epoch(val) [360][60/500] eta: 0:00:09 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 19:01:07 - mmengine - INFO - Epoch(val) [360][65/500] eta: 0:00:09 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 19:01:07 - mmengine - INFO - Epoch(val) [360][70/500] eta: 0:00:10 time: 0.0252 data_time: 0.0022 memory: 661 2022/08/26 19:01:07 - mmengine - INFO - Epoch(val) [360][75/500] eta: 0:00:10 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 19:01:07 - mmengine - INFO - Epoch(val) [360][80/500] eta: 0:00:08 time: 0.0204 data_time: 0.0019 memory: 661 2022/08/26 19:01:07 - mmengine - INFO - Epoch(val) [360][85/500] eta: 0:00:08 time: 0.0196 data_time: 0.0019 memory: 661 2022/08/26 19:01:07 - mmengine - INFO - Epoch(val) [360][90/500] eta: 0:00:09 time: 0.0223 data_time: 0.0019 memory: 661 2022/08/26 19:01:08 - mmengine - INFO - Epoch(val) [360][95/500] eta: 0:00:09 time: 0.0237 data_time: 0.0018 memory: 661 2022/08/26 19:01:08 - mmengine - INFO - Epoch(val) [360][100/500] eta: 0:00:08 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 19:01:08 - mmengine - INFO - Epoch(val) [360][105/500] eta: 0:00:08 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 19:01:08 - mmengine - INFO - Epoch(val) [360][110/500] eta: 0:00:08 time: 0.0212 data_time: 0.0019 memory: 661 2022/08/26 19:01:08 - mmengine - INFO - Epoch(val) [360][115/500] eta: 0:00:08 time: 0.0227 data_time: 0.0020 memory: 661 2022/08/26 19:01:08 - mmengine - INFO - Epoch(val) [360][120/500] eta: 0:00:08 time: 0.0234 data_time: 0.0020 memory: 661 2022/08/26 19:01:08 - mmengine - INFO - Epoch(val) [360][125/500] eta: 0:00:08 time: 0.0212 data_time: 0.0019 memory: 661 2022/08/26 19:01:08 - mmengine - INFO - Epoch(val) [360][130/500] eta: 0:00:07 time: 0.0208 data_time: 0.0018 memory: 661 2022/08/26 19:01:08 - mmengine - INFO - Epoch(val) [360][135/500] eta: 0:00:07 time: 0.0210 data_time: 0.0019 memory: 661 2022/08/26 19:01:09 - mmengine - INFO - Epoch(val) [360][140/500] eta: 0:00:07 time: 0.0213 data_time: 0.0019 memory: 661 2022/08/26 19:01:09 - mmengine - INFO - Epoch(val) [360][145/500] eta: 0:00:07 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 19:01:09 - mmengine - INFO - Epoch(val) [360][150/500] eta: 0:00:07 time: 0.0220 data_time: 0.0018 memory: 661 2022/08/26 19:01:09 - mmengine - INFO - Epoch(val) [360][155/500] eta: 0:00:07 time: 0.0258 data_time: 0.0019 memory: 661 2022/08/26 19:01:09 - mmengine - INFO - Epoch(val) [360][160/500] eta: 0:00:08 time: 0.0256 data_time: 0.0019 memory: 661 2022/08/26 19:01:09 - mmengine - INFO - Epoch(val) [360][165/500] eta: 0:00:08 time: 0.0229 data_time: 0.0019 memory: 661 2022/08/26 19:01:09 - mmengine - INFO - Epoch(val) [360][170/500] eta: 0:00:07 time: 0.0233 data_time: 0.0019 memory: 661 2022/08/26 19:01:09 - mmengine - INFO - Epoch(val) [360][175/500] eta: 0:00:07 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 19:01:09 - mmengine - INFO - Epoch(val) [360][180/500] eta: 0:00:06 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 19:01:10 - mmengine - INFO - Epoch(val) [360][185/500] eta: 0:00:06 time: 0.0245 data_time: 0.0019 memory: 661 2022/08/26 19:01:10 - mmengine - INFO - Epoch(val) [360][190/500] eta: 0:00:07 time: 0.0248 data_time: 0.0019 memory: 661 2022/08/26 19:01:10 - mmengine - INFO - Epoch(val) [360][195/500] eta: 0:00:07 time: 0.0221 data_time: 0.0018 memory: 661 2022/08/26 19:01:10 - mmengine - INFO - Epoch(val) [360][200/500] eta: 0:00:07 time: 0.0259 data_time: 0.0018 memory: 661 2022/08/26 19:01:10 - mmengine - INFO - Epoch(val) [360][205/500] eta: 0:00:07 time: 0.0371 data_time: 0.0034 memory: 661 2022/08/26 19:01:10 - mmengine - INFO - Epoch(val) [360][210/500] eta: 0:00:09 time: 0.0317 data_time: 0.0033 memory: 661 2022/08/26 19:01:10 - mmengine - INFO - Epoch(val) [360][215/500] eta: 0:00:09 time: 0.0212 data_time: 0.0017 memory: 661 2022/08/26 19:01:10 - mmengine - INFO - Epoch(val) [360][220/500] eta: 0:00:06 time: 0.0223 data_time: 0.0018 memory: 661 2022/08/26 19:01:11 - mmengine - INFO - Epoch(val) [360][225/500] eta: 0:00:06 time: 0.0339 data_time: 0.0021 memory: 661 2022/08/26 19:01:11 - mmengine - INFO - Epoch(val) [360][230/500] eta: 0:00:10 time: 0.0389 data_time: 0.0023 memory: 661 2022/08/26 19:01:11 - mmengine - INFO - Epoch(val) [360][235/500] eta: 0:00:10 time: 0.0349 data_time: 0.0026 memory: 661 2022/08/26 19:01:11 - mmengine - INFO - Epoch(val) [360][240/500] eta: 0:00:07 time: 0.0303 data_time: 0.0024 memory: 661 2022/08/26 19:01:11 - mmengine - INFO - Epoch(val) [360][245/500] eta: 0:00:07 time: 0.0331 data_time: 0.0021 memory: 661 2022/08/26 19:01:12 - mmengine - INFO - Epoch(val) [360][250/500] eta: 0:00:09 time: 0.0399 data_time: 0.0023 memory: 661 2022/08/26 19:01:12 - mmengine - INFO - Epoch(val) [360][255/500] eta: 0:00:09 time: 0.0345 data_time: 0.0024 memory: 661 2022/08/26 19:01:12 - mmengine - INFO - Epoch(val) [360][260/500] eta: 0:00:08 time: 0.0335 data_time: 0.0025 memory: 661 2022/08/26 19:01:12 - mmengine - INFO - Epoch(val) [360][265/500] eta: 0:00:08 time: 0.0318 data_time: 0.0021 memory: 661 2022/08/26 19:01:12 - mmengine - INFO - Epoch(val) [360][270/500] eta: 0:00:06 time: 0.0302 data_time: 0.0019 memory: 661 2022/08/26 19:01:12 - mmengine - INFO - Epoch(val) [360][275/500] eta: 0:00:06 time: 0.0320 data_time: 0.0020 memory: 661 2022/08/26 19:01:13 - mmengine - INFO - Epoch(val) [360][280/500] eta: 0:00:08 time: 0.0393 data_time: 0.0022 memory: 661 2022/08/26 19:01:13 - mmengine - INFO - Epoch(val) [360][285/500] eta: 0:00:08 time: 0.0408 data_time: 0.0021 memory: 661 2022/08/26 19:01:13 - mmengine - INFO - Epoch(val) [360][290/500] eta: 0:00:08 time: 0.0425 data_time: 0.0022 memory: 661 2022/08/26 19:01:13 - mmengine - INFO - Epoch(val) [360][295/500] eta: 0:00:08 time: 0.0353 data_time: 0.0021 memory: 661 2022/08/26 19:01:13 - mmengine - INFO - Epoch(val) [360][300/500] eta: 0:00:04 time: 0.0221 data_time: 0.0019 memory: 661 2022/08/26 19:01:13 - mmengine - INFO - Epoch(val) [360][305/500] eta: 0:00:04 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 19:01:13 - mmengine - INFO - Epoch(val) [360][310/500] eta: 0:00:04 time: 0.0226 data_time: 0.0020 memory: 661 2022/08/26 19:01:14 - mmengine - INFO - Epoch(val) [360][315/500] eta: 0:00:04 time: 0.0246 data_time: 0.0023 memory: 661 2022/08/26 19:01:14 - mmengine - INFO - Epoch(val) [360][320/500] eta: 0:00:04 time: 0.0244 data_time: 0.0024 memory: 661 2022/08/26 19:01:14 - mmengine - INFO - Epoch(val) [360][325/500] eta: 0:00:04 time: 0.0334 data_time: 0.0021 memory: 661 2022/08/26 19:01:14 - mmengine - INFO - Epoch(val) [360][330/500] eta: 0:00:05 time: 0.0339 data_time: 0.0019 memory: 661 2022/08/26 19:01:14 - mmengine - INFO - Epoch(val) [360][335/500] eta: 0:00:05 time: 0.0217 data_time: 0.0022 memory: 661 2022/08/26 19:01:14 - mmengine - INFO - Epoch(val) [360][340/500] eta: 0:00:04 time: 0.0256 data_time: 0.0024 memory: 661 2022/08/26 19:01:14 - mmengine - INFO - Epoch(val) [360][345/500] eta: 0:00:04 time: 0.0313 data_time: 0.0026 memory: 661 2022/08/26 19:01:15 - mmengine - INFO - Epoch(val) [360][350/500] eta: 0:00:05 time: 0.0377 data_time: 0.0026 memory: 661 2022/08/26 19:01:15 - mmengine - INFO - Epoch(val) [360][355/500] eta: 0:00:05 time: 0.0388 data_time: 0.0023 memory: 661 2022/08/26 19:01:15 - mmengine - INFO - Epoch(val) [360][360/500] eta: 0:00:04 time: 0.0344 data_time: 0.0028 memory: 661 2022/08/26 19:01:15 - mmengine - INFO - Epoch(val) [360][365/500] eta: 0:00:04 time: 0.0388 data_time: 0.0029 memory: 661 2022/08/26 19:01:15 - mmengine - INFO - Epoch(val) [360][370/500] eta: 0:00:04 time: 0.0374 data_time: 0.0022 memory: 661 2022/08/26 19:01:16 - mmengine - INFO - Epoch(val) [360][375/500] eta: 0:00:04 time: 0.0309 data_time: 0.0022 memory: 661 2022/08/26 19:01:16 - mmengine - INFO - Epoch(val) [360][380/500] eta: 0:00:03 time: 0.0297 data_time: 0.0024 memory: 661 2022/08/26 19:01:16 - mmengine - INFO - Epoch(val) [360][385/500] eta: 0:00:03 time: 0.0338 data_time: 0.0026 memory: 661 2022/08/26 19:01:16 - mmengine - INFO - Epoch(val) [360][390/500] eta: 0:00:03 time: 0.0305 data_time: 0.0025 memory: 661 2022/08/26 19:01:16 - mmengine - INFO - Epoch(val) [360][395/500] eta: 0:00:03 time: 0.0318 data_time: 0.0023 memory: 661 2022/08/26 19:01:16 - mmengine - INFO - Epoch(val) [360][400/500] eta: 0:00:03 time: 0.0330 data_time: 0.0023 memory: 661 2022/08/26 19:01:17 - mmengine - INFO - Epoch(val) [360][405/500] eta: 0:00:03 time: 0.0335 data_time: 0.0023 memory: 661 2022/08/26 19:01:17 - mmengine - INFO - Epoch(val) [360][410/500] eta: 0:00:03 time: 0.0344 data_time: 0.0029 memory: 661 2022/08/26 19:01:17 - mmengine - INFO - Epoch(val) [360][415/500] eta: 0:00:03 time: 0.0352 data_time: 0.0030 memory: 661 2022/08/26 19:01:17 - mmengine - INFO - Epoch(val) [360][420/500] eta: 0:00:02 time: 0.0317 data_time: 0.0024 memory: 661 2022/08/26 19:01:17 - mmengine - INFO - Epoch(val) [360][425/500] eta: 0:00:02 time: 0.0325 data_time: 0.0024 memory: 661 2022/08/26 19:01:17 - mmengine - INFO - Epoch(val) [360][430/500] eta: 0:00:02 time: 0.0403 data_time: 0.0025 memory: 661 2022/08/26 19:01:18 - mmengine - INFO - Epoch(val) [360][435/500] eta: 0:00:02 time: 0.0329 data_time: 0.0023 memory: 661 2022/08/26 19:01:18 - mmengine - INFO - Epoch(val) [360][440/500] eta: 0:00:01 time: 0.0268 data_time: 0.0024 memory: 661 2022/08/26 19:01:18 - mmengine - INFO - Epoch(val) [360][445/500] eta: 0:00:01 time: 0.0243 data_time: 0.0023 memory: 661 2022/08/26 19:01:18 - mmengine - INFO - Epoch(val) [360][450/500] eta: 0:00:01 time: 0.0256 data_time: 0.0024 memory: 661 2022/08/26 19:01:18 - mmengine - INFO - Epoch(val) [360][455/500] eta: 0:00:01 time: 0.0247 data_time: 0.0023 memory: 661 2022/08/26 19:01:18 - mmengine - INFO - Epoch(val) [360][460/500] eta: 0:00:00 time: 0.0213 data_time: 0.0018 memory: 661 2022/08/26 19:01:18 - mmengine - INFO - Epoch(val) [360][465/500] eta: 0:00:00 time: 0.0198 data_time: 0.0018 memory: 661 2022/08/26 19:01:18 - mmengine - INFO - Epoch(val) [360][470/500] eta: 0:00:00 time: 0.0206 data_time: 0.0017 memory: 661 2022/08/26 19:01:18 - mmengine - INFO - Epoch(val) [360][475/500] eta: 0:00:00 time: 0.0202 data_time: 0.0018 memory: 661 2022/08/26 19:01:19 - mmengine - INFO - Epoch(val) [360][480/500] eta: 0:00:00 time: 0.0209 data_time: 0.0019 memory: 661 2022/08/26 19:01:19 - mmengine - INFO - Epoch(val) [360][485/500] eta: 0:00:00 time: 0.0229 data_time: 0.0018 memory: 661 2022/08/26 19:01:19 - mmengine - INFO - Epoch(val) [360][490/500] eta: 0:00:00 time: 0.0235 data_time: 0.0018 memory: 661 2022/08/26 19:01:19 - mmengine - INFO - Epoch(val) [360][495/500] eta: 0:00:00 time: 0.0313 data_time: 0.0020 memory: 661 2022/08/26 19:01:19 - mmengine - INFO - Epoch(val) [360][500/500] eta: 0:00:00 time: 0.0331 data_time: 0.0024 memory: 661 2022/08/26 19:01:19 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7246, precision: 0.7517, hmean: 0.7379 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7246, precision: 0.7517, hmean: 0.7379 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7246, precision: 0.7517, hmean: 0.7379 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7246, precision: 0.7517, hmean: 0.7379 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7246, precision: 0.7517, hmean: 0.7379 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7246, precision: 0.7521, hmean: 0.7381 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7241, precision: 0.7546, hmean: 0.7391 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7241, precision: 0.7650, hmean: 0.7440 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7232, precision: 0.7758, hmean: 0.7486 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7227, precision: 0.7921, hmean: 0.7558 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7174, precision: 0.8054, hmean: 0.7588 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7078, precision: 0.8235, hmean: 0.7613 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6736, precision: 0.8484, hmean: 0.7509 2022/08/26 19:01:19 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3250, precision: 0.9146, hmean: 0.4796 2022/08/26 19:01:19 - mmengine - INFO - Epoch(val) [360][500/500] icdar/precision: 0.8235 icdar/recall: 0.7078 icdar/hmean: 0.7613 2022/08/26 19:01:37 - mmengine - INFO - Epoch(train) [361][5/16] lr: 4.3740e-04 eta: 0:00:00 time: 3.0350 data_time: 0.4996 memory: 63381 loss_text: 0.2177 loss_kernel: 0.1174 loss_embedding: 0.0117 loss: 0.3468 2022/08/26 19:01:49 - mmengine - INFO - Epoch(train) [361][10/16] lr: 4.3740e-04 eta: 1:51:36 time: 2.9625 data_time: 0.5364 memory: 63381 loss_text: 0.2236 loss_kernel: 0.1169 loss_embedding: 0.0100 loss: 0.3505 2022/08/26 19:02:04 - mmengine - INFO - Epoch(train) [361][15/16] lr: 4.3740e-04 eta: 1:51:36 time: 2.7259 data_time: 0.1160 memory: 63381 loss_text: 0.2157 loss_kernel: 0.1126 loss_embedding: 0.0091 loss: 0.3374 2022/08/26 19:02:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:02:23 - mmengine - INFO - Epoch(train) [362][5/16] lr: 4.3575e-04 eta: 1:51:36 time: 3.1413 data_time: 0.5595 memory: 63381 loss_text: 0.2045 loss_kernel: 0.1093 loss_embedding: 0.0085 loss: 0.3222 2022/08/26 19:02:36 - mmengine - INFO - Epoch(train) [362][10/16] lr: 4.3575e-04 eta: 1:51:09 time: 2.9667 data_time: 0.6109 memory: 63381 loss_text: 0.2005 loss_kernel: 0.1095 loss_embedding: 0.0082 loss: 0.3182 2022/08/26 19:02:48 - mmengine - INFO - Epoch(train) [362][15/16] lr: 4.3575e-04 eta: 1:51:09 time: 2.4343 data_time: 0.1387 memory: 63381 loss_text: 0.2068 loss_kernel: 0.1111 loss_embedding: 0.0100 loss: 0.3278 2022/08/26 19:02:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:03:07 - mmengine - INFO - Epoch(train) [363][5/16] lr: 4.3410e-04 eta: 1:51:09 time: 2.8868 data_time: 0.5669 memory: 63381 loss_text: 0.2059 loss_kernel: 0.1092 loss_embedding: 0.0109 loss: 0.3260 2022/08/26 19:03:22 - mmengine - INFO - Epoch(train) [363][10/16] lr: 4.3410e-04 eta: 1:50:44 time: 3.2404 data_time: 0.6272 memory: 63381 loss_text: 0.1990 loss_kernel: 0.1077 loss_embedding: 0.0100 loss: 0.3168 2022/08/26 19:03:34 - mmengine - INFO - Epoch(train) [363][15/16] lr: 4.3410e-04 eta: 1:50:44 time: 2.7675 data_time: 0.1322 memory: 63381 loss_text: 0.1862 loss_kernel: 0.1018 loss_embedding: 0.0098 loss: 0.2978 2022/08/26 19:03:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:03:53 - mmengine - INFO - Epoch(train) [364][5/16] lr: 4.3245e-04 eta: 1:50:44 time: 2.9174 data_time: 0.5342 memory: 63381 loss_text: 0.1972 loss_kernel: 0.1037 loss_embedding: 0.0103 loss: 0.3111 2022/08/26 19:04:05 - mmengine - INFO - Epoch(train) [364][10/16] lr: 4.3245e-04 eta: 1:50:17 time: 2.9205 data_time: 0.5748 memory: 63381 loss_text: 0.2029 loss_kernel: 0.1071 loss_embedding: 0.0095 loss: 0.3195 2022/08/26 19:04:18 - mmengine - INFO - Epoch(train) [364][15/16] lr: 4.3245e-04 eta: 1:50:17 time: 2.4780 data_time: 0.1180 memory: 63381 loss_text: 0.2106 loss_kernel: 0.1118 loss_embedding: 0.0087 loss: 0.3312 2022/08/26 19:04:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:04:39 - mmengine - INFO - Epoch(train) [365][5/16] lr: 4.3080e-04 eta: 1:50:17 time: 3.1315 data_time: 0.6393 memory: 63381 loss_text: 0.2077 loss_kernel: 0.1117 loss_embedding: 0.0074 loss: 0.3268 2022/08/26 19:04:52 - mmengine - INFO - Epoch(train) [365][10/16] lr: 4.3080e-04 eta: 1:49:52 time: 3.2471 data_time: 0.6725 memory: 63381 loss_text: 0.1987 loss_kernel: 0.1091 loss_embedding: 0.0081 loss: 0.3159 2022/08/26 19:05:04 - mmengine - INFO - Epoch(train) [365][15/16] lr: 4.3080e-04 eta: 1:49:52 time: 2.4959 data_time: 0.1198 memory: 63381 loss_text: 0.2058 loss_kernel: 0.1111 loss_embedding: 0.0090 loss: 0.3259 2022/08/26 19:05:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:05:23 - mmengine - INFO - Epoch(train) [366][5/16] lr: 4.2915e-04 eta: 1:49:52 time: 2.8740 data_time: 0.5179 memory: 63381 loss_text: 0.2124 loss_kernel: 0.1133 loss_embedding: 0.0083 loss: 0.3339 2022/08/26 19:05:37 - mmengine - INFO - Epoch(train) [366][10/16] lr: 4.2915e-04 eta: 1:49:26 time: 3.1515 data_time: 0.5551 memory: 63381 loss_text: 0.2120 loss_kernel: 0.1133 loss_embedding: 0.0084 loss: 0.3337 2022/08/26 19:05:51 - mmengine - INFO - Epoch(train) [366][15/16] lr: 4.2915e-04 eta: 1:49:26 time: 2.7175 data_time: 0.0968 memory: 63381 loss_text: 0.1993 loss_kernel: 0.1081 loss_embedding: 0.0084 loss: 0.3158 2022/08/26 19:05:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:06:10 - mmengine - INFO - Epoch(train) [367][5/16] lr: 4.2750e-04 eta: 1:49:26 time: 2.8976 data_time: 0.5291 memory: 63381 loss_text: 0.2005 loss_kernel: 0.1069 loss_embedding: 0.0082 loss: 0.3156 2022/08/26 19:06:22 - mmengine - INFO - Epoch(train) [367][10/16] lr: 4.2750e-04 eta: 1:48:59 time: 2.9649 data_time: 0.5836 memory: 63381 loss_text: 0.2178 loss_kernel: 0.1159 loss_embedding: 0.0091 loss: 0.3427 2022/08/26 19:06:35 - mmengine - INFO - Epoch(train) [367][15/16] lr: 4.2750e-04 eta: 1:48:59 time: 2.5668 data_time: 0.1170 memory: 63381 loss_text: 0.2049 loss_kernel: 0.1093 loss_embedding: 0.0090 loss: 0.3231 2022/08/26 19:06:37 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:06:55 - mmengine - INFO - Epoch(train) [368][5/16] lr: 4.2585e-04 eta: 1:48:59 time: 2.9258 data_time: 0.5215 memory: 63381 loss_text: 0.1925 loss_kernel: 0.1025 loss_embedding: 0.0090 loss: 0.3041 2022/08/26 19:07:07 - mmengine - INFO - Epoch(train) [368][10/16] lr: 4.2585e-04 eta: 1:48:33 time: 3.0481 data_time: 0.5536 memory: 63381 loss_text: 0.1941 loss_kernel: 0.1050 loss_embedding: 0.0103 loss: 0.3094 2022/08/26 19:07:20 - mmengine - INFO - Epoch(train) [368][15/16] lr: 4.2585e-04 eta: 1:48:33 time: 2.5201 data_time: 0.0995 memory: 63381 loss_text: 0.2120 loss_kernel: 0.1150 loss_embedding: 0.0107 loss: 0.3377 2022/08/26 19:07:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:07:38 - mmengine - INFO - Epoch(train) [369][5/16] lr: 4.2420e-04 eta: 1:48:33 time: 2.8354 data_time: 0.5194 memory: 63381 loss_text: 0.2336 loss_kernel: 0.1243 loss_embedding: 0.0093 loss: 0.3672 2022/08/26 19:07:51 - mmengine - INFO - Epoch(train) [369][10/16] lr: 4.2420e-04 eta: 1:48:05 time: 2.9452 data_time: 0.5710 memory: 63381 loss_text: 0.2175 loss_kernel: 0.1152 loss_embedding: 0.0093 loss: 0.3419 2022/08/26 19:08:03 - mmengine - INFO - Epoch(train) [369][15/16] lr: 4.2420e-04 eta: 1:48:05 time: 2.5486 data_time: 0.1161 memory: 63381 loss_text: 0.2112 loss_kernel: 0.1117 loss_embedding: 0.0113 loss: 0.3341 2022/08/26 19:08:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:08:22 - mmengine - INFO - Epoch(train) [370][5/16] lr: 4.2254e-04 eta: 1:48:05 time: 2.8372 data_time: 0.5280 memory: 63381 loss_text: 0.2167 loss_kernel: 0.1174 loss_embedding: 0.0105 loss: 0.3446 2022/08/26 19:08:34 - mmengine - INFO - Epoch(train) [370][10/16] lr: 4.2254e-04 eta: 1:47:38 time: 2.9427 data_time: 0.5429 memory: 63381 loss_text: 0.2272 loss_kernel: 0.1204 loss_embedding: 0.0115 loss: 0.3591 2022/08/26 19:08:47 - mmengine - INFO - Epoch(train) [370][15/16] lr: 4.2254e-04 eta: 1:47:38 time: 2.5159 data_time: 0.0901 memory: 63381 loss_text: 0.2039 loss_kernel: 0.1089 loss_embedding: 0.0099 loss: 0.3227 2022/08/26 19:08:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:09:06 - mmengine - INFO - Epoch(train) [371][5/16] lr: 4.2089e-04 eta: 1:47:38 time: 2.9068 data_time: 0.5039 memory: 63381 loss_text: 0.1952 loss_kernel: 0.1075 loss_embedding: 0.0086 loss: 0.3113 2022/08/26 19:09:21 - mmengine - INFO - Epoch(train) [371][10/16] lr: 4.2089e-04 eta: 1:47:13 time: 3.2213 data_time: 0.5740 memory: 63381 loss_text: 0.1989 loss_kernel: 0.1097 loss_embedding: 0.0093 loss: 0.3178 2022/08/26 19:09:33 - mmengine - INFO - Epoch(train) [371][15/16] lr: 4.2089e-04 eta: 1:47:13 time: 2.7237 data_time: 0.1422 memory: 63381 loss_text: 0.2054 loss_kernel: 0.1114 loss_embedding: 0.0090 loss: 0.3258 2022/08/26 19:09:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:09:53 - mmengine - INFO - Epoch(train) [372][5/16] lr: 4.1923e-04 eta: 1:47:13 time: 2.8860 data_time: 0.5411 memory: 63381 loss_text: 0.2055 loss_kernel: 0.1104 loss_embedding: 0.0094 loss: 0.3252 2022/08/26 19:10:05 - mmengine - INFO - Epoch(train) [372][10/16] lr: 4.1923e-04 eta: 1:46:46 time: 2.9568 data_time: 0.5471 memory: 63381 loss_text: 0.1866 loss_kernel: 0.1021 loss_embedding: 0.0092 loss: 0.2979 2022/08/26 19:10:18 - mmengine - INFO - Epoch(train) [372][15/16] lr: 4.1923e-04 eta: 1:46:46 time: 2.5504 data_time: 0.0972 memory: 63381 loss_text: 0.1887 loss_kernel: 0.1031 loss_embedding: 0.0084 loss: 0.3001 2022/08/26 19:10:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:10:37 - mmengine - INFO - Epoch(train) [373][5/16] lr: 4.1758e-04 eta: 1:46:46 time: 2.9435 data_time: 0.5398 memory: 63381 loss_text: 0.1877 loss_kernel: 0.1019 loss_embedding: 0.0099 loss: 0.2995 2022/08/26 19:10:50 - mmengine - INFO - Epoch(train) [373][10/16] lr: 4.1758e-04 eta: 1:46:19 time: 2.9595 data_time: 0.5604 memory: 63381 loss_text: 0.1866 loss_kernel: 0.1029 loss_embedding: 0.0099 loss: 0.2994 2022/08/26 19:11:03 - mmengine - INFO - Epoch(train) [373][15/16] lr: 4.1758e-04 eta: 1:46:19 time: 2.5964 data_time: 0.1706 memory: 63381 loss_text: 0.1984 loss_kernel: 0.1094 loss_embedding: 0.0083 loss: 0.3162 2022/08/26 19:11:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:11:21 - mmengine - INFO - Epoch(train) [374][5/16] lr: 4.1592e-04 eta: 1:46:19 time: 2.8758 data_time: 0.5545 memory: 63381 loss_text: 0.1902 loss_kernel: 0.1001 loss_embedding: 0.0083 loss: 0.2986 2022/08/26 19:11:35 - mmengine - INFO - Epoch(train) [374][10/16] lr: 4.1592e-04 eta: 1:45:52 time: 3.1196 data_time: 0.5768 memory: 63381 loss_text: 0.2016 loss_kernel: 0.1054 loss_embedding: 0.0088 loss: 0.3158 2022/08/26 19:11:48 - mmengine - INFO - Epoch(train) [374][15/16] lr: 4.1592e-04 eta: 1:45:52 time: 2.6551 data_time: 0.1488 memory: 63381 loss_text: 0.2020 loss_kernel: 0.1102 loss_embedding: 0.0081 loss: 0.3203 2022/08/26 19:11:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:12:07 - mmengine - INFO - Epoch(train) [375][5/16] lr: 4.1427e-04 eta: 1:45:52 time: 2.8639 data_time: 0.5101 memory: 63381 loss_text: 0.1923 loss_kernel: 0.1045 loss_embedding: 0.0088 loss: 0.3056 2022/08/26 19:12:19 - mmengine - INFO - Epoch(train) [375][10/16] lr: 4.1427e-04 eta: 1:45:25 time: 2.9527 data_time: 0.5217 memory: 63381 loss_text: 0.1794 loss_kernel: 0.0997 loss_embedding: 0.0095 loss: 0.2885 2022/08/26 19:12:32 - mmengine - INFO - Epoch(train) [375][15/16] lr: 4.1427e-04 eta: 1:45:25 time: 2.5295 data_time: 0.0885 memory: 63381 loss_text: 0.1960 loss_kernel: 0.1091 loss_embedding: 0.0091 loss: 0.3142 2022/08/26 19:12:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:12:52 - mmengine - INFO - Epoch(train) [376][5/16] lr: 4.1261e-04 eta: 1:45:25 time: 3.0120 data_time: 0.5493 memory: 63381 loss_text: 0.2112 loss_kernel: 0.1137 loss_embedding: 0.0098 loss: 0.3347 2022/08/26 19:13:04 - mmengine - INFO - Epoch(train) [376][10/16] lr: 4.1261e-04 eta: 1:44:58 time: 2.9612 data_time: 0.5943 memory: 63381 loss_text: 0.2223 loss_kernel: 0.1184 loss_embedding: 0.0093 loss: 0.3500 2022/08/26 19:13:16 - mmengine - INFO - Epoch(train) [376][15/16] lr: 4.1261e-04 eta: 1:44:58 time: 2.4298 data_time: 0.1208 memory: 63381 loss_text: 0.2082 loss_kernel: 0.1121 loss_embedding: 0.0095 loss: 0.3298 2022/08/26 19:13:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:13:35 - mmengine - INFO - Epoch(train) [377][5/16] lr: 4.1095e-04 eta: 1:44:58 time: 2.8704 data_time: 0.5728 memory: 63381 loss_text: 0.1925 loss_kernel: 0.1053 loss_embedding: 0.0097 loss: 0.3076 2022/08/26 19:13:49 - mmengine - INFO - Epoch(train) [377][10/16] lr: 4.1095e-04 eta: 1:44:32 time: 3.0728 data_time: 0.5509 memory: 63381 loss_text: 0.1908 loss_kernel: 0.1062 loss_embedding: 0.0103 loss: 0.3074 2022/08/26 19:14:01 - mmengine - INFO - Epoch(train) [377][15/16] lr: 4.1095e-04 eta: 1:44:32 time: 2.5650 data_time: 0.0964 memory: 63381 loss_text: 0.1886 loss_kernel: 0.1038 loss_embedding: 0.0094 loss: 0.3018 2022/08/26 19:14:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:14:20 - mmengine - INFO - Epoch(train) [378][5/16] lr: 4.0929e-04 eta: 1:44:32 time: 2.7920 data_time: 0.5116 memory: 63381 loss_text: 0.2029 loss_kernel: 0.1085 loss_embedding: 0.0092 loss: 0.3207 2022/08/26 19:14:32 - mmengine - INFO - Epoch(train) [378][10/16] lr: 4.0929e-04 eta: 1:44:04 time: 2.9264 data_time: 0.5364 memory: 63381 loss_text: 0.1943 loss_kernel: 0.1065 loss_embedding: 0.0088 loss: 0.3095 2022/08/26 19:14:45 - mmengine - INFO - Epoch(train) [378][15/16] lr: 4.0929e-04 eta: 1:44:04 time: 2.5058 data_time: 0.0888 memory: 63381 loss_text: 0.2089 loss_kernel: 0.1112 loss_embedding: 0.0091 loss: 0.3292 2022/08/26 19:14:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:15:05 - mmengine - INFO - Epoch(train) [379][5/16] lr: 4.0763e-04 eta: 1:44:04 time: 3.0196 data_time: 0.5087 memory: 63381 loss_text: 0.2014 loss_kernel: 0.1079 loss_embedding: 0.0096 loss: 0.3189 2022/08/26 19:15:18 - mmengine - INFO - Epoch(train) [379][10/16] lr: 4.0763e-04 eta: 1:43:38 time: 3.0839 data_time: 0.5653 memory: 63381 loss_text: 0.1956 loss_kernel: 0.1065 loss_embedding: 0.0092 loss: 0.3114 2022/08/26 19:15:29 - mmengine - INFO - Epoch(train) [379][15/16] lr: 4.0763e-04 eta: 1:43:38 time: 2.4402 data_time: 0.1089 memory: 63381 loss_text: 0.1918 loss_kernel: 0.1045 loss_embedding: 0.0097 loss: 0.3061 2022/08/26 19:15:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:15:48 - mmengine - INFO - Epoch(train) [380][5/16] lr: 4.0597e-04 eta: 1:43:38 time: 2.8317 data_time: 0.5735 memory: 63381 loss_text: 0.2031 loss_kernel: 0.1082 loss_embedding: 0.0094 loss: 0.3207 2022/08/26 19:16:03 - mmengine - INFO - Epoch(train) [380][10/16] lr: 4.0597e-04 eta: 1:43:12 time: 3.1830 data_time: 0.6166 memory: 63381 loss_text: 0.2143 loss_kernel: 0.1143 loss_embedding: 0.0111 loss: 0.3397 2022/08/26 19:16:15 - mmengine - INFO - Epoch(train) [380][15/16] lr: 4.0597e-04 eta: 1:43:12 time: 2.6927 data_time: 0.0988 memory: 63381 loss_text: 0.2106 loss_kernel: 0.1134 loss_embedding: 0.0106 loss: 0.3345 2022/08/26 19:16:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:16:17 - mmengine - INFO - Saving checkpoint at 380 epochs 2022/08/26 19:16:20 - mmengine - INFO - Epoch(val) [380][5/500] eta: 1:43:12 time: 0.0644 data_time: 0.0155 memory: 39748 2022/08/26 19:16:20 - mmengine - INFO - Epoch(val) [380][10/500] eta: 0:00:35 time: 0.0730 data_time: 0.0157 memory: 661 2022/08/26 19:16:20 - mmengine - INFO - Epoch(val) [380][15/500] eta: 0:00:35 time: 0.0377 data_time: 0.0025 memory: 661 2022/08/26 19:16:21 - mmengine - INFO - Epoch(val) [380][20/500] eta: 0:00:15 time: 0.0330 data_time: 0.0023 memory: 661 2022/08/26 19:16:21 - mmengine - INFO - Epoch(val) [380][25/500] eta: 0:00:15 time: 0.0375 data_time: 0.0026 memory: 661 2022/08/26 19:16:21 - mmengine - INFO - Epoch(val) [380][30/500] eta: 0:00:16 time: 0.0355 data_time: 0.0025 memory: 661 2022/08/26 19:16:21 - mmengine - INFO - Epoch(val) [380][35/500] eta: 0:00:16 time: 0.0314 data_time: 0.0023 memory: 661 2022/08/26 19:16:21 - mmengine - INFO - Epoch(val) [380][40/500] eta: 0:00:16 time: 0.0350 data_time: 0.0023 memory: 661 2022/08/26 19:16:21 - mmengine - INFO - Epoch(val) [380][45/500] eta: 0:00:16 time: 0.0314 data_time: 0.0021 memory: 661 2022/08/26 19:16:22 - mmengine - INFO - Epoch(val) [380][50/500] eta: 0:00:10 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 19:16:22 - mmengine - INFO - Epoch(val) [380][55/500] eta: 0:00:10 time: 0.0248 data_time: 0.0021 memory: 661 2022/08/26 19:16:22 - mmengine - INFO - Epoch(val) [380][60/500] eta: 0:00:10 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 19:16:22 - mmengine - INFO - Epoch(val) [380][65/500] eta: 0:00:10 time: 0.0235 data_time: 0.0021 memory: 661 2022/08/26 19:16:22 - mmengine - INFO - Epoch(val) [380][70/500] eta: 0:00:10 time: 0.0249 data_time: 0.0019 memory: 661 2022/08/26 19:16:22 - mmengine - INFO - Epoch(val) [380][75/500] eta: 0:00:10 time: 0.0224 data_time: 0.0020 memory: 661 2022/08/26 19:16:22 - mmengine - INFO - Epoch(val) [380][80/500] eta: 0:00:08 time: 0.0204 data_time: 0.0022 memory: 661 2022/08/26 19:16:22 - mmengine - INFO - Epoch(val) [380][85/500] eta: 0:00:08 time: 0.0196 data_time: 0.0024 memory: 661 2022/08/26 19:16:23 - mmengine - INFO - Epoch(val) [380][90/500] eta: 0:00:09 time: 0.0239 data_time: 0.0022 memory: 661 2022/08/26 19:16:23 - mmengine - INFO - Epoch(val) [380][95/500] eta: 0:00:09 time: 0.0254 data_time: 0.0021 memory: 661 2022/08/26 19:16:23 - mmengine - INFO - Epoch(val) [380][100/500] eta: 0:00:08 time: 0.0219 data_time: 0.0020 memory: 661 2022/08/26 19:16:23 - mmengine - INFO - Epoch(val) [380][105/500] eta: 0:00:08 time: 0.0280 data_time: 0.0022 memory: 661 2022/08/26 19:16:23 - mmengine - INFO - Epoch(val) [380][110/500] eta: 0:00:12 time: 0.0321 data_time: 0.0023 memory: 661 2022/08/26 19:16:23 - mmengine - INFO - Epoch(val) [380][115/500] eta: 0:00:12 time: 0.0278 data_time: 0.0021 memory: 661 2022/08/26 19:16:23 - mmengine - INFO - Epoch(val) [380][120/500] eta: 0:00:12 time: 0.0330 data_time: 0.0025 memory: 661 2022/08/26 19:16:24 - mmengine - INFO - Epoch(val) [380][125/500] eta: 0:00:12 time: 0.0309 data_time: 0.0026 memory: 661 2022/08/26 19:16:24 - mmengine - INFO - Epoch(val) [380][130/500] eta: 0:00:10 time: 0.0280 data_time: 0.0021 memory: 661 2022/08/26 19:16:24 - mmengine - INFO - Epoch(val) [380][135/500] eta: 0:00:10 time: 0.0320 data_time: 0.0021 memory: 661 2022/08/26 19:16:24 - mmengine - INFO - Epoch(val) [380][140/500] eta: 0:00:09 time: 0.0266 data_time: 0.0020 memory: 661 2022/08/26 19:16:24 - mmengine - INFO - Epoch(val) [380][145/500] eta: 0:00:09 time: 0.0295 data_time: 0.0021 memory: 661 2022/08/26 19:16:24 - mmengine - INFO - Epoch(val) [380][150/500] eta: 0:00:12 time: 0.0346 data_time: 0.0023 memory: 661 2022/08/26 19:16:25 - mmengine - INFO - Epoch(val) [380][155/500] eta: 0:00:12 time: 0.0414 data_time: 0.0023 memory: 661 2022/08/26 19:16:25 - mmengine - INFO - Epoch(val) [380][160/500] eta: 0:00:15 time: 0.0447 data_time: 0.0022 memory: 661 2022/08/26 19:16:25 - mmengine - INFO - Epoch(val) [380][165/500] eta: 0:00:15 time: 0.0397 data_time: 0.0021 memory: 661 2022/08/26 19:16:25 - mmengine - INFO - Epoch(val) [380][170/500] eta: 0:00:11 time: 0.0363 data_time: 0.0021 memory: 661 2022/08/26 19:16:25 - mmengine - INFO - Epoch(val) [380][175/500] eta: 0:00:11 time: 0.0370 data_time: 0.0022 memory: 661 2022/08/26 19:16:25 - mmengine - INFO - Epoch(val) [380][180/500] eta: 0:00:11 time: 0.0369 data_time: 0.0023 memory: 661 2022/08/26 19:16:26 - mmengine - INFO - Epoch(val) [380][185/500] eta: 0:00:11 time: 0.0359 data_time: 0.0021 memory: 661 2022/08/26 19:16:26 - mmengine - INFO - Epoch(val) [380][190/500] eta: 0:00:09 time: 0.0316 data_time: 0.0020 memory: 661 2022/08/26 19:16:26 - mmengine - INFO - Epoch(val) [380][195/500] eta: 0:00:09 time: 0.0345 data_time: 0.0025 memory: 661 2022/08/26 19:16:26 - mmengine - INFO - Epoch(val) [380][200/500] eta: 0:00:11 time: 0.0393 data_time: 0.0026 memory: 661 2022/08/26 19:16:26 - mmengine - INFO - Epoch(val) [380][205/500] eta: 0:00:11 time: 0.0300 data_time: 0.0038 memory: 661 2022/08/26 19:16:26 - mmengine - INFO - Epoch(val) [380][210/500] eta: 0:00:06 time: 0.0240 data_time: 0.0038 memory: 661 2022/08/26 19:16:27 - mmengine - INFO - Epoch(val) [380][215/500] eta: 0:00:06 time: 0.0233 data_time: 0.0022 memory: 661 2022/08/26 19:16:27 - mmengine - INFO - Epoch(val) [380][220/500] eta: 0:00:06 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 19:16:27 - mmengine - INFO - Epoch(val) [380][225/500] eta: 0:00:06 time: 0.0251 data_time: 0.0024 memory: 661 2022/08/26 19:16:27 - mmengine - INFO - Epoch(val) [380][230/500] eta: 0:00:06 time: 0.0233 data_time: 0.0025 memory: 661 2022/08/26 19:16:27 - mmengine - INFO - Epoch(val) [380][235/500] eta: 0:00:06 time: 0.0234 data_time: 0.0023 memory: 661 2022/08/26 19:16:27 - mmengine - INFO - Epoch(val) [380][240/500] eta: 0:00:07 time: 0.0270 data_time: 0.0023 memory: 661 2022/08/26 19:16:27 - mmengine - INFO - Epoch(val) [380][245/500] eta: 0:00:07 time: 0.0254 data_time: 0.0024 memory: 661 2022/08/26 19:16:27 - mmengine - INFO - Epoch(val) [380][250/500] eta: 0:00:05 time: 0.0238 data_time: 0.0023 memory: 661 2022/08/26 19:16:28 - mmengine - INFO - Epoch(val) [380][255/500] eta: 0:00:05 time: 0.0239 data_time: 0.0022 memory: 661 2022/08/26 19:16:28 - mmengine - INFO - Epoch(val) [380][260/500] eta: 0:00:05 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 19:16:28 - mmengine - INFO - Epoch(val) [380][265/500] eta: 0:00:05 time: 0.0233 data_time: 0.0022 memory: 661 2022/08/26 19:16:28 - mmengine - INFO - Epoch(val) [380][270/500] eta: 0:00:05 time: 0.0253 data_time: 0.0022 memory: 661 2022/08/26 19:16:28 - mmengine - INFO - Epoch(val) [380][275/500] eta: 0:00:05 time: 0.0346 data_time: 0.0023 memory: 661 2022/08/26 19:16:28 - mmengine - INFO - Epoch(val) [380][280/500] eta: 0:00:07 time: 0.0340 data_time: 0.0024 memory: 661 2022/08/26 19:16:28 - mmengine - INFO - Epoch(val) [380][285/500] eta: 0:00:07 time: 0.0244 data_time: 0.0023 memory: 661 2022/08/26 19:16:28 - mmengine - INFO - Epoch(val) [380][290/500] eta: 0:00:05 time: 0.0239 data_time: 0.0022 memory: 661 2022/08/26 19:16:29 - mmengine - INFO - Epoch(val) [380][295/500] eta: 0:00:05 time: 0.0350 data_time: 0.0024 memory: 661 2022/08/26 19:16:29 - mmengine - INFO - Epoch(val) [380][300/500] eta: 0:00:08 time: 0.0440 data_time: 0.0026 memory: 661 2022/08/26 19:16:29 - mmengine - INFO - Epoch(val) [380][305/500] eta: 0:00:08 time: 0.0429 data_time: 0.0028 memory: 661 2022/08/26 19:16:29 - mmengine - INFO - Epoch(val) [380][310/500] eta: 0:00:06 time: 0.0367 data_time: 0.0027 memory: 661 2022/08/26 19:16:30 - mmengine - INFO - Epoch(val) [380][315/500] eta: 0:00:06 time: 0.0371 data_time: 0.0025 memory: 661 2022/08/26 19:16:30 - mmengine - INFO - Epoch(val) [380][320/500] eta: 0:00:07 time: 0.0439 data_time: 0.0026 memory: 661 2022/08/26 19:16:30 - mmengine - INFO - Epoch(val) [380][325/500] eta: 0:00:07 time: 0.0604 data_time: 0.0027 memory: 661 2022/08/26 19:16:30 - mmengine - INFO - Epoch(val) [380][330/500] eta: 0:00:10 time: 0.0603 data_time: 0.0026 memory: 661 2022/08/26 19:16:31 - mmengine - INFO - Epoch(val) [380][335/500] eta: 0:00:10 time: 0.0654 data_time: 0.0048 memory: 661 2022/08/26 19:16:31 - mmengine - INFO - Epoch(val) [380][340/500] eta: 0:00:09 time: 0.0607 data_time: 0.0049 memory: 661 2022/08/26 19:16:31 - mmengine - INFO - Epoch(val) [380][345/500] eta: 0:00:09 time: 0.0300 data_time: 0.0025 memory: 661 2022/08/26 19:16:31 - mmengine - INFO - Epoch(val) [380][350/500] eta: 0:00:03 time: 0.0265 data_time: 0.0023 memory: 661 2022/08/26 19:16:31 - mmengine - INFO - Epoch(val) [380][355/500] eta: 0:00:03 time: 0.0246 data_time: 0.0021 memory: 661 2022/08/26 19:16:32 - mmengine - INFO - Epoch(val) [380][360/500] eta: 0:00:08 time: 0.0599 data_time: 0.0099 memory: 661 2022/08/26 19:16:32 - mmengine - INFO - Epoch(val) [380][365/500] eta: 0:00:08 time: 0.0623 data_time: 0.0107 memory: 661 2022/08/26 19:16:32 - mmengine - INFO - Epoch(val) [380][370/500] eta: 0:00:03 time: 0.0289 data_time: 0.0029 memory: 661 2022/08/26 19:16:32 - mmengine - INFO - Epoch(val) [380][375/500] eta: 0:00:03 time: 0.0308 data_time: 0.0021 memory: 661 2022/08/26 19:16:32 - mmengine - INFO - Epoch(val) [380][380/500] eta: 0:00:04 time: 0.0345 data_time: 0.0021 memory: 661 2022/08/26 19:16:33 - mmengine - INFO - Epoch(val) [380][385/500] eta: 0:00:04 time: 0.0426 data_time: 0.0023 memory: 661 2022/08/26 19:16:33 - mmengine - INFO - Epoch(val) [380][390/500] eta: 0:00:04 time: 0.0368 data_time: 0.0025 memory: 661 2022/08/26 19:16:33 - mmengine - INFO - Epoch(val) [380][395/500] eta: 0:00:04 time: 0.0398 data_time: 0.0034 memory: 661 2022/08/26 19:16:33 - mmengine - INFO - Epoch(val) [380][400/500] eta: 0:00:03 time: 0.0366 data_time: 0.0033 memory: 661 2022/08/26 19:16:33 - mmengine - INFO - Epoch(val) [380][405/500] eta: 0:00:03 time: 0.0298 data_time: 0.0023 memory: 661 2022/08/26 19:16:34 - mmengine - INFO - Epoch(val) [380][410/500] eta: 0:00:03 time: 0.0347 data_time: 0.0022 memory: 661 2022/08/26 19:16:34 - mmengine - INFO - Epoch(val) [380][415/500] eta: 0:00:03 time: 0.0302 data_time: 0.0027 memory: 661 2022/08/26 19:16:34 - mmengine - INFO - Epoch(val) [380][420/500] eta: 0:00:02 time: 0.0322 data_time: 0.0029 memory: 661 2022/08/26 19:16:34 - mmengine - INFO - Epoch(val) [380][425/500] eta: 0:00:02 time: 0.0396 data_time: 0.0024 memory: 661 2022/08/26 19:16:34 - mmengine - INFO - Epoch(val) [380][430/500] eta: 0:00:02 time: 0.0334 data_time: 0.0023 memory: 661 2022/08/26 19:16:34 - mmengine - INFO - Epoch(val) [380][435/500] eta: 0:00:02 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 19:16:34 - mmengine - INFO - Epoch(val) [380][440/500] eta: 0:00:01 time: 0.0297 data_time: 0.0020 memory: 661 2022/08/26 19:16:35 - mmengine - INFO - Epoch(val) [380][445/500] eta: 0:00:01 time: 0.0415 data_time: 0.0024 memory: 661 2022/08/26 19:16:35 - mmengine - INFO - Epoch(val) [380][450/500] eta: 0:00:01 time: 0.0384 data_time: 0.0025 memory: 661 2022/08/26 19:16:35 - mmengine - INFO - Epoch(val) [380][455/500] eta: 0:00:01 time: 0.0344 data_time: 0.0023 memory: 661 2022/08/26 19:16:35 - mmengine - INFO - Epoch(val) [380][460/500] eta: 0:00:01 time: 0.0314 data_time: 0.0026 memory: 661 2022/08/26 19:16:35 - mmengine - INFO - Epoch(val) [380][465/500] eta: 0:00:01 time: 0.0240 data_time: 0.0023 memory: 661 2022/08/26 19:16:35 - mmengine - INFO - Epoch(val) [380][470/500] eta: 0:00:00 time: 0.0217 data_time: 0.0019 memory: 661 2022/08/26 19:16:36 - mmengine - INFO - Epoch(val) [380][475/500] eta: 0:00:00 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 19:16:36 - mmengine - INFO - Epoch(val) [380][480/500] eta: 0:00:00 time: 0.0228 data_time: 0.0023 memory: 661 2022/08/26 19:16:36 - mmengine - INFO - Epoch(val) [380][485/500] eta: 0:00:00 time: 0.0232 data_time: 0.0022 memory: 661 2022/08/26 19:16:36 - mmengine - INFO - Epoch(val) [380][490/500] eta: 0:00:00 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 19:16:36 - mmengine - INFO - Epoch(val) [380][495/500] eta: 0:00:00 time: 0.0244 data_time: 0.0021 memory: 661 2022/08/26 19:16:36 - mmengine - INFO - Epoch(val) [380][500/500] eta: 0:00:00 time: 0.0227 data_time: 0.0022 memory: 661 2022/08/26 19:16:36 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7564, precision: 0.7553, hmean: 0.7558 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7564, precision: 0.7553, hmean: 0.7558 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7564, precision: 0.7553, hmean: 0.7558 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7564, precision: 0.7553, hmean: 0.7558 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7564, precision: 0.7553, hmean: 0.7558 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7564, precision: 0.7557, hmean: 0.7560 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7564, precision: 0.7623, hmean: 0.7593 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7559, precision: 0.7711, hmean: 0.7634 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7549, precision: 0.7820, hmean: 0.7683 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7535, precision: 0.7924, hmean: 0.7725 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7477, precision: 0.8026, hmean: 0.7742 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7405, precision: 0.8216, hmean: 0.7789 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7005, precision: 0.8514, hmean: 0.7686 2022/08/26 19:16:36 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3909, precision: 0.8992, hmean: 0.5450 2022/08/26 19:16:36 - mmengine - INFO - Epoch(val) [380][500/500] icdar/precision: 0.8216 icdar/recall: 0.7405 icdar/hmean: 0.7789 2022/08/26 19:16:53 - mmengine - INFO - Epoch(train) [381][5/16] lr: 4.0431e-04 eta: 0:00:00 time: 2.8268 data_time: 0.5189 memory: 63381 loss_text: 0.1834 loss_kernel: 0.1006 loss_embedding: 0.0092 loss: 0.2933 2022/08/26 19:17:07 - mmengine - INFO - Epoch(train) [381][10/16] lr: 4.0431e-04 eta: 1:42:45 time: 3.0578 data_time: 0.5795 memory: 63381 loss_text: 0.1961 loss_kernel: 0.1054 loss_embedding: 0.0092 loss: 0.3107 2022/08/26 19:17:20 - mmengine - INFO - Epoch(train) [381][15/16] lr: 4.0431e-04 eta: 1:42:45 time: 2.6534 data_time: 0.1199 memory: 63381 loss_text: 0.2168 loss_kernel: 0.1152 loss_embedding: 0.0087 loss: 0.3407 2022/08/26 19:17:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:17:38 - mmengine - INFO - Epoch(train) [382][5/16] lr: 4.0265e-04 eta: 1:42:45 time: 2.8677 data_time: 0.5235 memory: 63381 loss_text: 0.2048 loss_kernel: 0.1115 loss_embedding: 0.0090 loss: 0.3253 2022/08/26 19:17:51 - mmengine - INFO - Epoch(train) [382][10/16] lr: 4.0265e-04 eta: 1:42:18 time: 2.9459 data_time: 0.5608 memory: 63381 loss_text: 0.1950 loss_kernel: 0.1077 loss_embedding: 0.0085 loss: 0.3112 2022/08/26 19:18:02 - mmengine - INFO - Epoch(train) [382][15/16] lr: 4.0265e-04 eta: 1:42:18 time: 2.3706 data_time: 0.0964 memory: 63381 loss_text: 0.2001 loss_kernel: 0.1102 loss_embedding: 0.0080 loss: 0.3183 2022/08/26 19:18:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:18:22 - mmengine - INFO - Epoch(train) [383][5/16] lr: 4.0099e-04 eta: 1:42:18 time: 2.9244 data_time: 0.5106 memory: 63381 loss_text: 0.1972 loss_kernel: 0.1067 loss_embedding: 0.0085 loss: 0.3124 2022/08/26 19:18:35 - mmengine - INFO - Epoch(train) [383][10/16] lr: 4.0099e-04 eta: 1:41:51 time: 3.0260 data_time: 0.5324 memory: 63381 loss_text: 0.2072 loss_kernel: 0.1099 loss_embedding: 0.0077 loss: 0.3248 2022/08/26 19:18:47 - mmengine - INFO - Epoch(train) [383][15/16] lr: 4.0099e-04 eta: 1:41:51 time: 2.4827 data_time: 0.0966 memory: 63381 loss_text: 0.2000 loss_kernel: 0.1063 loss_embedding: 0.0081 loss: 0.3144 2022/08/26 19:18:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:19:07 - mmengine - INFO - Epoch(train) [384][5/16] lr: 3.9932e-04 eta: 1:41:51 time: 2.9257 data_time: 0.5692 memory: 63381 loss_text: 0.2058 loss_kernel: 0.1085 loss_embedding: 0.0087 loss: 0.3230 2022/08/26 19:19:19 - mmengine - INFO - Epoch(train) [384][10/16] lr: 3.9932e-04 eta: 1:41:24 time: 3.0284 data_time: 0.5976 memory: 63381 loss_text: 0.2013 loss_kernel: 0.1051 loss_embedding: 0.0084 loss: 0.3148 2022/08/26 19:19:34 - mmengine - INFO - Epoch(train) [384][15/16] lr: 3.9932e-04 eta: 1:41:24 time: 2.6848 data_time: 0.0904 memory: 63381 loss_text: 0.1817 loss_kernel: 0.0967 loss_embedding: 0.0097 loss: 0.2881 2022/08/26 19:19:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:19:52 - mmengine - INFO - Epoch(train) [385][5/16] lr: 3.9766e-04 eta: 1:41:24 time: 3.0958 data_time: 0.5602 memory: 63381 loss_text: 0.1962 loss_kernel: 0.1062 loss_embedding: 0.0103 loss: 0.3128 2022/08/26 19:20:05 - mmengine - INFO - Epoch(train) [385][10/16] lr: 3.9766e-04 eta: 1:40:57 time: 2.9789 data_time: 0.6017 memory: 63381 loss_text: 0.2034 loss_kernel: 0.1107 loss_embedding: 0.0089 loss: 0.3230 2022/08/26 19:20:17 - mmengine - INFO - Epoch(train) [385][15/16] lr: 3.9766e-04 eta: 1:40:57 time: 2.5458 data_time: 0.0928 memory: 63381 loss_text: 0.1926 loss_kernel: 0.1030 loss_embedding: 0.0079 loss: 0.3035 2022/08/26 19:20:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:20:37 - mmengine - INFO - Epoch(train) [386][5/16] lr: 3.9599e-04 eta: 1:40:57 time: 2.9827 data_time: 0.5853 memory: 63381 loss_text: 0.1978 loss_kernel: 0.1068 loss_embedding: 0.0103 loss: 0.3150 2022/08/26 19:20:50 - mmengine - INFO - Epoch(train) [386][10/16] lr: 3.9599e-04 eta: 1:40:31 time: 3.1476 data_time: 0.6911 memory: 63381 loss_text: 0.2010 loss_kernel: 0.1111 loss_embedding: 0.0107 loss: 0.3228 2022/08/26 19:21:02 - mmengine - INFO - Epoch(train) [386][15/16] lr: 3.9599e-04 eta: 1:40:31 time: 2.5058 data_time: 0.1546 memory: 63381 loss_text: 0.2059 loss_kernel: 0.1119 loss_embedding: 0.0090 loss: 0.3268 2022/08/26 19:21:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:21:21 - mmengine - INFO - Epoch(train) [387][5/16] lr: 3.9433e-04 eta: 1:40:31 time: 2.7840 data_time: 0.4742 memory: 63381 loss_text: 0.2067 loss_kernel: 0.1107 loss_embedding: 0.0090 loss: 0.3264 2022/08/26 19:21:34 - mmengine - INFO - Epoch(train) [387][10/16] lr: 3.9433e-04 eta: 1:40:03 time: 2.9415 data_time: 0.5346 memory: 63381 loss_text: 0.2016 loss_kernel: 0.1088 loss_embedding: 0.0086 loss: 0.3190 2022/08/26 19:21:47 - mmengine - INFO - Epoch(train) [387][15/16] lr: 3.9433e-04 eta: 1:40:03 time: 2.5669 data_time: 0.1231 memory: 63381 loss_text: 0.1955 loss_kernel: 0.1059 loss_embedding: 0.0081 loss: 0.3096 2022/08/26 19:21:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:22:08 - mmengine - INFO - Epoch(train) [388][5/16] lr: 3.9266e-04 eta: 1:40:03 time: 3.1091 data_time: 0.7864 memory: 63381 loss_text: 0.2011 loss_kernel: 0.1094 loss_embedding: 0.0091 loss: 0.3197 2022/08/26 19:22:20 - mmengine - INFO - Epoch(train) [388][10/16] lr: 3.9266e-04 eta: 1:39:37 time: 3.1636 data_time: 0.8122 memory: 63381 loss_text: 0.1967 loss_kernel: 0.1066 loss_embedding: 0.0097 loss: 0.3130 2022/08/26 19:22:32 - mmengine - INFO - Epoch(train) [388][15/16] lr: 3.9266e-04 eta: 1:39:37 time: 2.4751 data_time: 0.0834 memory: 63381 loss_text: 0.1905 loss_kernel: 0.1032 loss_embedding: 0.0102 loss: 0.3039 2022/08/26 19:22:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:22:52 - mmengine - INFO - Epoch(train) [389][5/16] lr: 3.9099e-04 eta: 1:39:37 time: 2.9564 data_time: 0.5939 memory: 63381 loss_text: 0.1974 loss_kernel: 0.1052 loss_embedding: 0.0084 loss: 0.3110 2022/08/26 19:23:08 - mmengine - INFO - Epoch(train) [389][10/16] lr: 3.9099e-04 eta: 1:39:11 time: 3.2394 data_time: 0.6971 memory: 63381 loss_text: 0.1966 loss_kernel: 0.1048 loss_embedding: 0.0084 loss: 0.3098 2022/08/26 19:23:20 - mmengine - INFO - Epoch(train) [389][15/16] lr: 3.9099e-04 eta: 1:39:11 time: 2.7543 data_time: 0.1628 memory: 63381 loss_text: 0.1955 loss_kernel: 0.1067 loss_embedding: 0.0079 loss: 0.3101 2022/08/26 19:23:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:23:38 - mmengine - INFO - Epoch(train) [390][5/16] lr: 3.8933e-04 eta: 1:39:11 time: 2.8237 data_time: 0.4925 memory: 63381 loss_text: 0.2171 loss_kernel: 0.1177 loss_embedding: 0.0084 loss: 0.3431 2022/08/26 19:23:51 - mmengine - INFO - Epoch(train) [390][10/16] lr: 3.8933e-04 eta: 1:38:44 time: 2.9152 data_time: 0.5244 memory: 63381 loss_text: 0.1951 loss_kernel: 0.1072 loss_embedding: 0.0100 loss: 0.3122 2022/08/26 19:24:04 - mmengine - INFO - Epoch(train) [390][15/16] lr: 3.8933e-04 eta: 1:38:44 time: 2.5203 data_time: 0.0878 memory: 63381 loss_text: 0.1848 loss_kernel: 0.1028 loss_embedding: 0.0096 loss: 0.2971 2022/08/26 19:24:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:24:25 - mmengine - INFO - Epoch(train) [391][5/16] lr: 3.8766e-04 eta: 1:38:44 time: 3.1074 data_time: 0.4962 memory: 63381 loss_text: 0.1955 loss_kernel: 0.1053 loss_embedding: 0.0089 loss: 0.3096 2022/08/26 19:24:37 - mmengine - INFO - Epoch(train) [391][10/16] lr: 3.8766e-04 eta: 1:38:17 time: 3.1970 data_time: 0.5406 memory: 63381 loss_text: 0.2023 loss_kernel: 0.1076 loss_embedding: 0.0084 loss: 0.3183 2022/08/26 19:24:50 - mmengine - INFO - Epoch(train) [391][15/16] lr: 3.8766e-04 eta: 1:38:17 time: 2.5257 data_time: 0.0927 memory: 63381 loss_text: 0.2031 loss_kernel: 0.1103 loss_embedding: 0.0084 loss: 0.3218 2022/08/26 19:24:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:25:08 - mmengine - INFO - Epoch(train) [392][5/16] lr: 3.8599e-04 eta: 1:38:17 time: 2.8779 data_time: 0.5264 memory: 63381 loss_text: 0.1852 loss_kernel: 0.1013 loss_embedding: 0.0090 loss: 0.2954 2022/08/26 19:25:22 - mmengine - INFO - Epoch(train) [392][10/16] lr: 3.8599e-04 eta: 1:37:50 time: 3.0098 data_time: 0.5645 memory: 63381 loss_text: 0.1924 loss_kernel: 0.1053 loss_embedding: 0.0078 loss: 0.3055 2022/08/26 19:25:36 - mmengine - INFO - Epoch(train) [392][15/16] lr: 3.8599e-04 eta: 1:37:50 time: 2.7972 data_time: 0.1000 memory: 63381 loss_text: 0.1957 loss_kernel: 0.1065 loss_embedding: 0.0073 loss: 0.3095 2022/08/26 19:25:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:25:56 - mmengine - INFO - Epoch(train) [393][5/16] lr: 3.8432e-04 eta: 1:37:50 time: 3.0254 data_time: 0.5085 memory: 63381 loss_text: 0.2096 loss_kernel: 0.1127 loss_embedding: 0.0080 loss: 0.3303 2022/08/26 19:26:07 - mmengine - INFO - Epoch(train) [393][10/16] lr: 3.8432e-04 eta: 1:37:23 time: 2.9551 data_time: 0.5506 memory: 63381 loss_text: 0.1973 loss_kernel: 0.1091 loss_embedding: 0.0091 loss: 0.3155 2022/08/26 19:26:21 - mmengine - INFO - Epoch(train) [393][15/16] lr: 3.8432e-04 eta: 1:37:23 time: 2.5103 data_time: 0.1066 memory: 63381 loss_text: 0.1775 loss_kernel: 0.0979 loss_embedding: 0.0090 loss: 0.2844 2022/08/26 19:26:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:26:41 - mmengine - INFO - Epoch(train) [394][5/16] lr: 3.8265e-04 eta: 1:37:23 time: 3.0621 data_time: 0.5342 memory: 63381 loss_text: 0.1813 loss_kernel: 0.0998 loss_embedding: 0.0073 loss: 0.2884 2022/08/26 19:26:54 - mmengine - INFO - Epoch(train) [394][10/16] lr: 3.8265e-04 eta: 1:36:56 time: 3.1239 data_time: 0.5674 memory: 63381 loss_text: 0.1841 loss_kernel: 0.1016 loss_embedding: 0.0079 loss: 0.2937 2022/08/26 19:27:05 - mmengine - INFO - Epoch(train) [394][15/16] lr: 3.8265e-04 eta: 1:36:56 time: 2.4789 data_time: 0.1055 memory: 63381 loss_text: 0.1856 loss_kernel: 0.1019 loss_embedding: 0.0077 loss: 0.2952 2022/08/26 19:27:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:27:24 - mmengine - INFO - Epoch(train) [395][5/16] lr: 3.8097e-04 eta: 1:36:56 time: 2.7861 data_time: 0.5189 memory: 63381 loss_text: 0.2067 loss_kernel: 0.1091 loss_embedding: 0.0076 loss: 0.3234 2022/08/26 19:27:36 - mmengine - INFO - Epoch(train) [395][10/16] lr: 3.8097e-04 eta: 1:36:28 time: 2.8999 data_time: 0.5615 memory: 63381 loss_text: 0.2139 loss_kernel: 0.1140 loss_embedding: 0.0084 loss: 0.3362 2022/08/26 19:27:49 - mmengine - INFO - Epoch(train) [395][15/16] lr: 3.8097e-04 eta: 1:36:28 time: 2.5548 data_time: 0.0874 memory: 63381 loss_text: 0.1999 loss_kernel: 0.1104 loss_embedding: 0.0086 loss: 0.3189 2022/08/26 19:27:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:28:10 - mmengine - INFO - Epoch(train) [396][5/16] lr: 3.7930e-04 eta: 1:36:28 time: 3.0916 data_time: 0.6259 memory: 63381 loss_text: 0.1858 loss_kernel: 0.1009 loss_embedding: 0.0080 loss: 0.2947 2022/08/26 19:28:23 - mmengine - INFO - Epoch(train) [396][10/16] lr: 3.7930e-04 eta: 1:36:02 time: 3.1648 data_time: 0.6943 memory: 63381 loss_text: 0.1964 loss_kernel: 0.1059 loss_embedding: 0.0078 loss: 0.3100 2022/08/26 19:28:35 - mmengine - INFO - Epoch(train) [396][15/16] lr: 3.7930e-04 eta: 1:36:02 time: 2.5344 data_time: 0.1220 memory: 63381 loss_text: 0.2133 loss_kernel: 0.1165 loss_embedding: 0.0082 loss: 0.3381 2022/08/26 19:28:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:28:55 - mmengine - INFO - Epoch(train) [397][5/16] lr: 3.7763e-04 eta: 1:36:02 time: 2.9939 data_time: 0.5683 memory: 63381 loss_text: 0.2288 loss_kernel: 0.1238 loss_embedding: 0.0073 loss: 0.3600 2022/08/26 19:29:07 - mmengine - INFO - Epoch(train) [397][10/16] lr: 3.7763e-04 eta: 1:35:35 time: 3.0691 data_time: 0.6354 memory: 63381 loss_text: 0.2179 loss_kernel: 0.1181 loss_embedding: 0.0079 loss: 0.3440 2022/08/26 19:29:21 - mmengine - INFO - Epoch(train) [397][15/16] lr: 3.7763e-04 eta: 1:35:35 time: 2.5669 data_time: 0.1075 memory: 63381 loss_text: 0.2023 loss_kernel: 0.1088 loss_embedding: 0.0091 loss: 0.3202 2022/08/26 19:29:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:29:41 - mmengine - INFO - Epoch(train) [398][5/16] lr: 3.7595e-04 eta: 1:35:35 time: 3.1447 data_time: 0.6038 memory: 63381 loss_text: 0.1890 loss_kernel: 0.1020 loss_embedding: 0.0093 loss: 0.3003 2022/08/26 19:29:54 - mmengine - INFO - Epoch(train) [398][10/16] lr: 3.7595e-04 eta: 1:35:08 time: 3.0871 data_time: 0.6515 memory: 63381 loss_text: 0.1904 loss_kernel: 0.1057 loss_embedding: 0.0093 loss: 0.3054 2022/08/26 19:30:07 - mmengine - INFO - Epoch(train) [398][15/16] lr: 3.7595e-04 eta: 1:35:08 time: 2.6210 data_time: 0.0956 memory: 63381 loss_text: 0.1962 loss_kernel: 0.1081 loss_embedding: 0.0095 loss: 0.3138 2022/08/26 19:30:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:30:29 - mmengine - INFO - Epoch(train) [399][5/16] lr: 3.7428e-04 eta: 1:35:08 time: 3.3042 data_time: 0.5759 memory: 63381 loss_text: 0.1991 loss_kernel: 0.1085 loss_embedding: 0.0092 loss: 0.3168 2022/08/26 19:30:41 - mmengine - INFO - Epoch(train) [399][10/16] lr: 3.7428e-04 eta: 1:34:42 time: 3.2454 data_time: 0.6150 memory: 63381 loss_text: 0.1909 loss_kernel: 0.1032 loss_embedding: 0.0081 loss: 0.3022 2022/08/26 19:30:53 - mmengine - INFO - Epoch(train) [399][15/16] lr: 3.7428e-04 eta: 1:34:42 time: 2.3985 data_time: 0.0833 memory: 63381 loss_text: 0.1981 loss_kernel: 0.1067 loss_embedding: 0.0073 loss: 0.3121 2022/08/26 19:30:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:31:15 - mmengine - INFO - Epoch(train) [400][5/16] lr: 3.7260e-04 eta: 1:34:42 time: 3.1371 data_time: 0.6462 memory: 63381 loss_text: 0.2010 loss_kernel: 0.1109 loss_embedding: 0.0076 loss: 0.3195 2022/08/26 19:31:27 - mmengine - INFO - Epoch(train) [400][10/16] lr: 3.7260e-04 eta: 1:34:16 time: 3.2466 data_time: 0.6939 memory: 63381 loss_text: 0.1964 loss_kernel: 0.1078 loss_embedding: 0.0078 loss: 0.3121 2022/08/26 19:31:40 - mmengine - INFO - Epoch(train) [400][15/16] lr: 3.7260e-04 eta: 1:34:16 time: 2.4637 data_time: 0.0889 memory: 63381 loss_text: 0.1932 loss_kernel: 0.1058 loss_embedding: 0.0080 loss: 0.3070 2022/08/26 19:31:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:31:41 - mmengine - INFO - Saving checkpoint at 400 epochs 2022/08/26 19:31:44 - mmengine - INFO - Epoch(val) [400][5/500] eta: 1:34:16 time: 0.0435 data_time: 0.0123 memory: 39748 2022/08/26 19:31:45 - mmengine - INFO - Epoch(val) [400][10/500] eta: 0:00:21 time: 0.0442 data_time: 0.0120 memory: 661 2022/08/26 19:31:45 - mmengine - INFO - Epoch(val) [400][15/500] eta: 0:00:21 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 19:31:45 - mmengine - INFO - Epoch(val) [400][20/500] eta: 0:00:14 time: 0.0305 data_time: 0.0025 memory: 661 2022/08/26 19:31:45 - mmengine - INFO - Epoch(val) [400][25/500] eta: 0:00:14 time: 0.0329 data_time: 0.0022 memory: 661 2022/08/26 19:31:45 - mmengine - INFO - Epoch(val) [400][30/500] eta: 0:00:13 time: 0.0290 data_time: 0.0020 memory: 661 2022/08/26 19:31:45 - mmengine - INFO - Epoch(val) [400][35/500] eta: 0:00:13 time: 0.0345 data_time: 0.0022 memory: 661 2022/08/26 19:31:46 - mmengine - INFO - Epoch(val) [400][40/500] eta: 0:00:17 time: 0.0387 data_time: 0.0022 memory: 661 2022/08/26 19:31:46 - mmengine - INFO - Epoch(val) [400][45/500] eta: 0:00:17 time: 0.0355 data_time: 0.0022 memory: 661 2022/08/26 19:31:46 - mmengine - INFO - Epoch(val) [400][50/500] eta: 0:00:15 time: 0.0354 data_time: 0.0025 memory: 661 2022/08/26 19:31:46 - mmengine - INFO - Epoch(val) [400][55/500] eta: 0:00:15 time: 0.0408 data_time: 0.0025 memory: 661 2022/08/26 19:31:46 - mmengine - INFO - Epoch(val) [400][60/500] eta: 0:00:17 time: 0.0407 data_time: 0.0023 memory: 661 2022/08/26 19:31:46 - mmengine - INFO - Epoch(val) [400][65/500] eta: 0:00:17 time: 0.0365 data_time: 0.0022 memory: 661 2022/08/26 19:31:47 - mmengine - INFO - Epoch(val) [400][70/500] eta: 0:00:11 time: 0.0274 data_time: 0.0019 memory: 661 2022/08/26 19:31:47 - mmengine - INFO - Epoch(val) [400][75/500] eta: 0:00:11 time: 0.0307 data_time: 0.0020 memory: 661 2022/08/26 19:31:47 - mmengine - INFO - Epoch(val) [400][80/500] eta: 0:00:12 time: 0.0300 data_time: 0.0023 memory: 661 2022/08/26 19:31:47 - mmengine - INFO - Epoch(val) [400][85/500] eta: 0:00:12 time: 0.0287 data_time: 0.0023 memory: 661 2022/08/26 19:31:47 - mmengine - INFO - Epoch(val) [400][90/500] eta: 0:00:15 time: 0.0389 data_time: 0.0023 memory: 661 2022/08/26 19:31:47 - mmengine - INFO - Epoch(val) [400][95/500] eta: 0:00:15 time: 0.0369 data_time: 0.0024 memory: 661 2022/08/26 19:31:48 - mmengine - INFO - Epoch(val) [400][100/500] eta: 0:00:10 time: 0.0267 data_time: 0.0022 memory: 661 2022/08/26 19:31:48 - mmengine - INFO - Epoch(val) [400][105/500] eta: 0:00:10 time: 0.0317 data_time: 0.0022 memory: 661 2022/08/26 19:31:48 - mmengine - INFO - Epoch(val) [400][110/500] eta: 0:00:12 time: 0.0311 data_time: 0.0024 memory: 661 2022/08/26 19:31:48 - mmengine - INFO - Epoch(val) [400][115/500] eta: 0:00:12 time: 0.0219 data_time: 0.0020 memory: 661 2022/08/26 19:31:48 - mmengine - INFO - Epoch(val) [400][120/500] eta: 0:00:08 time: 0.0228 data_time: 0.0019 memory: 661 2022/08/26 19:31:48 - mmengine - INFO - Epoch(val) [400][125/500] eta: 0:00:08 time: 0.0212 data_time: 0.0018 memory: 661 2022/08/26 19:31:48 - mmengine - INFO - Epoch(val) [400][130/500] eta: 0:00:10 time: 0.0274 data_time: 0.0086 memory: 661 2022/08/26 19:31:48 - mmengine - INFO - Epoch(val) [400][135/500] eta: 0:00:10 time: 0.0269 data_time: 0.0082 memory: 661 2022/08/26 19:31:49 - mmengine - INFO - Epoch(val) [400][140/500] eta: 0:00:20 time: 0.0559 data_time: 0.0369 memory: 661 2022/08/26 19:31:49 - mmengine - INFO - Epoch(val) [400][145/500] eta: 0:00:20 time: 0.0569 data_time: 0.0369 memory: 661 2022/08/26 19:31:49 - mmengine - INFO - Epoch(val) [400][150/500] eta: 0:00:07 time: 0.0216 data_time: 0.0012 memory: 661 2022/08/26 19:31:49 - mmengine - INFO - Epoch(val) [400][155/500] eta: 0:00:07 time: 0.0258 data_time: 0.0016 memory: 661 2022/08/26 19:31:49 - mmengine - INFO - Epoch(val) [400][160/500] eta: 0:00:09 time: 0.0267 data_time: 0.0017 memory: 661 2022/08/26 19:31:50 - mmengine - INFO - Epoch(val) [400][165/500] eta: 0:00:09 time: 0.0251 data_time: 0.0018 memory: 661 2022/08/26 19:31:50 - mmengine - INFO - Epoch(val) [400][170/500] eta: 0:00:08 time: 0.0249 data_time: 0.0018 memory: 661 2022/08/26 19:31:50 - mmengine - INFO - Epoch(val) [400][175/500] eta: 0:00:08 time: 0.0214 data_time: 0.0018 memory: 661 2022/08/26 19:31:50 - mmengine - INFO - Epoch(val) [400][180/500] eta: 0:00:06 time: 0.0212 data_time: 0.0018 memory: 661 2022/08/26 19:31:50 - mmengine - INFO - Epoch(val) [400][185/500] eta: 0:00:06 time: 0.0238 data_time: 0.0018 memory: 661 2022/08/26 19:31:50 - mmengine - INFO - Epoch(val) [400][190/500] eta: 0:00:07 time: 0.0243 data_time: 0.0018 memory: 661 2022/08/26 19:31:50 - mmengine - INFO - Epoch(val) [400][195/500] eta: 0:00:07 time: 0.0229 data_time: 0.0018 memory: 661 2022/08/26 19:31:50 - mmengine - INFO - Epoch(val) [400][200/500] eta: 0:00:07 time: 0.0264 data_time: 0.0018 memory: 661 2022/08/26 19:31:50 - mmengine - INFO - Epoch(val) [400][205/500] eta: 0:00:07 time: 0.0279 data_time: 0.0019 memory: 661 2022/08/26 19:31:51 - mmengine - INFO - Epoch(val) [400][210/500] eta: 0:00:09 time: 0.0331 data_time: 0.0025 memory: 661 2022/08/26 19:31:51 - mmengine - INFO - Epoch(val) [400][215/500] eta: 0:00:09 time: 0.0312 data_time: 0.0024 memory: 661 2022/08/26 19:31:51 - mmengine - INFO - Epoch(val) [400][220/500] eta: 0:00:09 time: 0.0324 data_time: 0.0020 memory: 661 2022/08/26 19:31:51 - mmengine - INFO - Epoch(val) [400][225/500] eta: 0:00:09 time: 0.0348 data_time: 0.0020 memory: 661 2022/08/26 19:31:51 - mmengine - INFO - Epoch(val) [400][230/500] eta: 0:00:08 time: 0.0312 data_time: 0.0022 memory: 661 2022/08/26 19:31:51 - mmengine - INFO - Epoch(val) [400][235/500] eta: 0:00:08 time: 0.0343 data_time: 0.0023 memory: 661 2022/08/26 19:31:52 - mmengine - INFO - Epoch(val) [400][240/500] eta: 0:00:08 time: 0.0338 data_time: 0.0022 memory: 661 2022/08/26 19:31:52 - mmengine - INFO - Epoch(val) [400][245/500] eta: 0:00:08 time: 0.0326 data_time: 0.0020 memory: 661 2022/08/26 19:31:52 - mmengine - INFO - Epoch(val) [400][250/500] eta: 0:00:08 time: 0.0333 data_time: 0.0018 memory: 661 2022/08/26 19:31:52 - mmengine - INFO - Epoch(val) [400][255/500] eta: 0:00:08 time: 0.0299 data_time: 0.0018 memory: 661 2022/08/26 19:31:52 - mmengine - INFO - Epoch(val) [400][260/500] eta: 0:00:07 time: 0.0313 data_time: 0.0020 memory: 661 2022/08/26 19:31:52 - mmengine - INFO - Epoch(val) [400][265/500] eta: 0:00:07 time: 0.0361 data_time: 0.0021 memory: 661 2022/08/26 19:31:53 - mmengine - INFO - Epoch(val) [400][270/500] eta: 0:00:07 time: 0.0322 data_time: 0.0019 memory: 661 2022/08/26 19:31:53 - mmengine - INFO - Epoch(val) [400][275/500] eta: 0:00:07 time: 0.0315 data_time: 0.0019 memory: 661 2022/08/26 19:31:53 - mmengine - INFO - Epoch(val) [400][280/500] eta: 0:00:11 time: 0.0536 data_time: 0.0030 memory: 661 2022/08/26 19:31:53 - mmengine - INFO - Epoch(val) [400][285/500] eta: 0:00:11 time: 0.0477 data_time: 0.0030 memory: 661 2022/08/26 19:31:54 - mmengine - INFO - Epoch(val) [400][290/500] eta: 0:00:07 time: 0.0340 data_time: 0.0024 memory: 661 2022/08/26 19:31:54 - mmengine - INFO - Epoch(val) [400][295/500] eta: 0:00:07 time: 0.0346 data_time: 0.0023 memory: 661 2022/08/26 19:31:54 - mmengine - INFO - Epoch(val) [400][300/500] eta: 0:00:04 time: 0.0210 data_time: 0.0018 memory: 661 2022/08/26 19:31:54 - mmengine - INFO - Epoch(val) [400][305/500] eta: 0:00:04 time: 0.0207 data_time: 0.0018 memory: 661 2022/08/26 19:31:54 - mmengine - INFO - Epoch(val) [400][310/500] eta: 0:00:03 time: 0.0209 data_time: 0.0019 memory: 661 2022/08/26 19:31:54 - mmengine - INFO - Epoch(val) [400][315/500] eta: 0:00:03 time: 0.0238 data_time: 0.0019 memory: 661 2022/08/26 19:31:54 - mmengine - INFO - Epoch(val) [400][320/500] eta: 0:00:04 time: 0.0244 data_time: 0.0019 memory: 661 2022/08/26 19:31:54 - mmengine - INFO - Epoch(val) [400][325/500] eta: 0:00:04 time: 0.0310 data_time: 0.0018 memory: 661 2022/08/26 19:31:55 - mmengine - INFO - Epoch(val) [400][330/500] eta: 0:00:05 time: 0.0330 data_time: 0.0018 memory: 661 2022/08/26 19:31:55 - mmengine - INFO - Epoch(val) [400][335/500] eta: 0:00:05 time: 0.0422 data_time: 0.0030 memory: 661 2022/08/26 19:31:55 - mmengine - INFO - Epoch(val) [400][340/500] eta: 0:00:08 time: 0.0529 data_time: 0.0041 memory: 661 2022/08/26 19:31:55 - mmengine - INFO - Epoch(val) [400][345/500] eta: 0:00:08 time: 0.0390 data_time: 0.0029 memory: 661 2022/08/26 19:31:55 - mmengine - INFO - Epoch(val) [400][350/500] eta: 0:00:04 time: 0.0314 data_time: 0.0018 memory: 661 2022/08/26 19:31:56 - mmengine - INFO - Epoch(val) [400][355/500] eta: 0:00:04 time: 0.0335 data_time: 0.0021 memory: 661 2022/08/26 19:31:56 - mmengine - INFO - Epoch(val) [400][360/500] eta: 0:00:05 time: 0.0387 data_time: 0.0025 memory: 661 2022/08/26 19:31:56 - mmengine - INFO - Epoch(val) [400][365/500] eta: 0:00:05 time: 0.0326 data_time: 0.0023 memory: 661 2022/08/26 19:31:56 - mmengine - INFO - Epoch(val) [400][370/500] eta: 0:00:04 time: 0.0309 data_time: 0.0021 memory: 661 2022/08/26 19:31:56 - mmengine - INFO - Epoch(val) [400][375/500] eta: 0:00:04 time: 0.0307 data_time: 0.0024 memory: 661 2022/08/26 19:31:56 - mmengine - INFO - Epoch(val) [400][380/500] eta: 0:00:03 time: 0.0303 data_time: 0.0021 memory: 661 2022/08/26 19:31:56 - mmengine - INFO - Epoch(val) [400][385/500] eta: 0:00:03 time: 0.0332 data_time: 0.0017 memory: 661 2022/08/26 19:31:57 - mmengine - INFO - Epoch(val) [400][390/500] eta: 0:00:03 time: 0.0287 data_time: 0.0017 memory: 661 2022/08/26 19:31:57 - mmengine - INFO - Epoch(val) [400][395/500] eta: 0:00:03 time: 0.0351 data_time: 0.0019 memory: 661 2022/08/26 19:31:57 - mmengine - INFO - Epoch(val) [400][400/500] eta: 0:00:03 time: 0.0358 data_time: 0.0018 memory: 661 2022/08/26 19:31:57 - mmengine - INFO - Epoch(val) [400][405/500] eta: 0:00:03 time: 0.0373 data_time: 0.0020 memory: 661 2022/08/26 19:31:57 - mmengine - INFO - Epoch(val) [400][410/500] eta: 0:00:03 time: 0.0376 data_time: 0.0021 memory: 661 2022/08/26 19:31:58 - mmengine - INFO - Epoch(val) [400][415/500] eta: 0:00:03 time: 0.0379 data_time: 0.0020 memory: 661 2022/08/26 19:31:58 - mmengine - INFO - Epoch(val) [400][420/500] eta: 0:00:05 time: 0.0729 data_time: 0.0057 memory: 661 2022/08/26 19:31:58 - mmengine - INFO - Epoch(val) [400][425/500] eta: 0:00:05 time: 0.0650 data_time: 0.0083 memory: 661 2022/08/26 19:31:58 - mmengine - INFO - Epoch(val) [400][430/500] eta: 0:00:01 time: 0.0253 data_time: 0.0048 memory: 661 2022/08/26 19:31:58 - mmengine - INFO - Epoch(val) [400][435/500] eta: 0:00:01 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 19:31:59 - mmengine - INFO - Epoch(val) [400][440/500] eta: 0:00:01 time: 0.0231 data_time: 0.0021 memory: 661 2022/08/26 19:31:59 - mmengine - INFO - Epoch(val) [400][445/500] eta: 0:00:01 time: 0.0318 data_time: 0.0032 memory: 661 2022/08/26 19:31:59 - mmengine - INFO - Epoch(val) [400][450/500] eta: 0:00:01 time: 0.0319 data_time: 0.0034 memory: 661 2022/08/26 19:31:59 - mmengine - INFO - Epoch(val) [400][455/500] eta: 0:00:01 time: 0.0234 data_time: 0.0023 memory: 661 2022/08/26 19:31:59 - mmengine - INFO - Epoch(val) [400][460/500] eta: 0:00:00 time: 0.0215 data_time: 0.0022 memory: 661 2022/08/26 19:31:59 - mmengine - INFO - Epoch(val) [400][465/500] eta: 0:00:00 time: 0.0208 data_time: 0.0021 memory: 661 2022/08/26 19:31:59 - mmengine - INFO - Epoch(val) [400][470/500] eta: 0:00:00 time: 0.0262 data_time: 0.0021 memory: 661 2022/08/26 19:32:00 - mmengine - INFO - Epoch(val) [400][475/500] eta: 0:00:00 time: 0.0319 data_time: 0.0023 memory: 661 2022/08/26 19:32:00 - mmengine - INFO - Epoch(val) [400][480/500] eta: 0:00:00 time: 0.0278 data_time: 0.0023 memory: 661 2022/08/26 19:32:00 - mmengine - INFO - Epoch(val) [400][485/500] eta: 0:00:00 time: 0.0330 data_time: 0.0022 memory: 661 2022/08/26 19:32:00 - mmengine - INFO - Epoch(val) [400][490/500] eta: 0:00:00 time: 0.0393 data_time: 0.0024 memory: 661 2022/08/26 19:32:00 - mmengine - INFO - Epoch(val) [400][495/500] eta: 0:00:00 time: 0.0395 data_time: 0.0027 memory: 661 2022/08/26 19:32:00 - mmengine - INFO - Epoch(val) [400][500/500] eta: 0:00:00 time: 0.0315 data_time: 0.0024 memory: 661 2022/08/26 19:32:00 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7506, precision: 0.7605, hmean: 0.7555 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7506, precision: 0.7605, hmean: 0.7555 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7506, precision: 0.7605, hmean: 0.7555 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7506, precision: 0.7605, hmean: 0.7555 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7506, precision: 0.7605, hmean: 0.7555 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7506, precision: 0.7609, hmean: 0.7557 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7506, precision: 0.7642, hmean: 0.7573 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7506, precision: 0.7714, hmean: 0.7609 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7501, precision: 0.7790, hmean: 0.7643 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7482, precision: 0.7933, hmean: 0.7701 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7453, precision: 0.8088, hmean: 0.7757 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7366, precision: 0.8248, hmean: 0.7782 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7053, precision: 0.8483, hmean: 0.7702 2022/08/26 19:32:01 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3996, precision: 0.9041, hmean: 0.5543 2022/08/26 19:32:01 - mmengine - INFO - Epoch(val) [400][500/500] icdar/precision: 0.8248 icdar/recall: 0.7366 icdar/hmean: 0.7782 2022/08/26 19:32:18 - mmengine - INFO - Epoch(train) [401][5/16] lr: 3.7092e-04 eta: 0:00:00 time: 2.9146 data_time: 0.6142 memory: 63381 loss_text: 0.2034 loss_kernel: 0.1106 loss_embedding: 0.0084 loss: 0.3224 2022/08/26 19:32:32 - mmengine - INFO - Epoch(train) [401][10/16] lr: 3.7092e-04 eta: 1:33:50 time: 3.1731 data_time: 0.6751 memory: 63381 loss_text: 0.1894 loss_kernel: 0.1042 loss_embedding: 0.0083 loss: 0.3019 2022/08/26 19:32:45 - mmengine - INFO - Epoch(train) [401][15/16] lr: 3.7092e-04 eta: 1:33:50 time: 2.6710 data_time: 0.1068 memory: 63381 loss_text: 0.1896 loss_kernel: 0.1033 loss_embedding: 0.0083 loss: 0.3012 2022/08/26 19:32:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:33:05 - mmengine - INFO - Epoch(train) [402][5/16] lr: 3.6924e-04 eta: 1:33:50 time: 3.0573 data_time: 0.6331 memory: 63381 loss_text: 0.1925 loss_kernel: 0.1049 loss_embedding: 0.0078 loss: 0.3052 2022/08/26 19:33:18 - mmengine - INFO - Epoch(train) [402][10/16] lr: 3.6924e-04 eta: 1:33:23 time: 3.1015 data_time: 0.6767 memory: 63381 loss_text: 0.1967 loss_kernel: 0.1074 loss_embedding: 0.0086 loss: 0.3127 2022/08/26 19:33:31 - mmengine - INFO - Epoch(train) [402][15/16] lr: 3.6924e-04 eta: 1:33:23 time: 2.5016 data_time: 0.0846 memory: 63381 loss_text: 0.2039 loss_kernel: 0.1091 loss_embedding: 0.0087 loss: 0.3217 2022/08/26 19:33:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:33:51 - mmengine - INFO - Epoch(train) [403][5/16] lr: 3.6757e-04 eta: 1:33:23 time: 3.0598 data_time: 0.6468 memory: 63381 loss_text: 0.1852 loss_kernel: 0.0989 loss_embedding: 0.0083 loss: 0.2924 2022/08/26 19:34:03 - mmengine - INFO - Epoch(train) [403][10/16] lr: 3.6757e-04 eta: 1:32:56 time: 3.1178 data_time: 0.7064 memory: 63381 loss_text: 0.1926 loss_kernel: 0.1047 loss_embedding: 0.0076 loss: 0.3049 2022/08/26 19:34:16 - mmengine - INFO - Epoch(train) [403][15/16] lr: 3.6757e-04 eta: 1:32:56 time: 2.5230 data_time: 0.1071 memory: 63381 loss_text: 0.2163 loss_kernel: 0.1169 loss_embedding: 0.0089 loss: 0.3421 2022/08/26 19:34:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:34:35 - mmengine - INFO - Epoch(train) [404][5/16] lr: 3.6589e-04 eta: 1:32:56 time: 2.8619 data_time: 0.4906 memory: 63381 loss_text: 0.2195 loss_kernel: 0.1192 loss_embedding: 0.0086 loss: 0.3473 2022/08/26 19:34:48 - mmengine - INFO - Epoch(train) [404][10/16] lr: 3.6589e-04 eta: 1:32:29 time: 3.0074 data_time: 0.5588 memory: 63381 loss_text: 0.1906 loss_kernel: 0.1062 loss_embedding: 0.0080 loss: 0.3048 2022/08/26 19:35:01 - mmengine - INFO - Epoch(train) [404][15/16] lr: 3.6589e-04 eta: 1:32:29 time: 2.6000 data_time: 0.1137 memory: 63381 loss_text: 0.1857 loss_kernel: 0.1026 loss_embedding: 0.0078 loss: 0.2960 2022/08/26 19:35:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:35:19 - mmengine - INFO - Epoch(train) [405][5/16] lr: 3.6421e-04 eta: 1:32:29 time: 2.8420 data_time: 0.4988 memory: 63381 loss_text: 0.2107 loss_kernel: 0.1154 loss_embedding: 0.0079 loss: 0.3339 2022/08/26 19:35:31 - mmengine - INFO - Epoch(train) [405][10/16] lr: 3.6421e-04 eta: 1:32:01 time: 2.8930 data_time: 0.5516 memory: 63381 loss_text: 0.2310 loss_kernel: 0.1251 loss_embedding: 0.0069 loss: 0.3631 2022/08/26 19:35:44 - mmengine - INFO - Epoch(train) [405][15/16] lr: 3.6421e-04 eta: 1:32:01 time: 2.4453 data_time: 0.0986 memory: 63381 loss_text: 0.2225 loss_kernel: 0.1193 loss_embedding: 0.0072 loss: 0.3490 2022/08/26 19:35:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:36:05 - mmengine - INFO - Epoch(train) [406][5/16] lr: 3.6252e-04 eta: 1:32:01 time: 3.0884 data_time: 0.5956 memory: 63381 loss_text: 0.2027 loss_kernel: 0.1093 loss_embedding: 0.0077 loss: 0.3196 2022/08/26 19:36:18 - mmengine - INFO - Epoch(train) [406][10/16] lr: 3.6252e-04 eta: 1:31:35 time: 3.3001 data_time: 0.6462 memory: 63381 loss_text: 0.1924 loss_kernel: 0.1054 loss_embedding: 0.0093 loss: 0.3072 2022/08/26 19:36:31 - mmengine - INFO - Epoch(train) [406][15/16] lr: 3.6252e-04 eta: 1:31:35 time: 2.5891 data_time: 0.0962 memory: 63381 loss_text: 0.1963 loss_kernel: 0.1077 loss_embedding: 0.0082 loss: 0.3122 2022/08/26 19:36:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:36:50 - mmengine - INFO - Epoch(train) [407][5/16] lr: 3.6084e-04 eta: 1:31:35 time: 2.9156 data_time: 0.5279 memory: 63381 loss_text: 0.1861 loss_kernel: 0.1028 loss_embedding: 0.0080 loss: 0.2969 2022/08/26 19:37:03 - mmengine - INFO - Epoch(train) [407][10/16] lr: 3.6084e-04 eta: 1:31:07 time: 3.0130 data_time: 0.5936 memory: 63381 loss_text: 0.1828 loss_kernel: 0.0997 loss_embedding: 0.0077 loss: 0.2902 2022/08/26 19:37:17 - mmengine - INFO - Epoch(train) [407][15/16] lr: 3.6084e-04 eta: 1:31:07 time: 2.7227 data_time: 0.1103 memory: 63381 loss_text: 0.1952 loss_kernel: 0.1060 loss_embedding: 0.0077 loss: 0.3089 2022/08/26 19:37:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:37:37 - mmengine - INFO - Epoch(train) [408][5/16] lr: 3.5916e-04 eta: 1:31:07 time: 3.0758 data_time: 0.5162 memory: 63381 loss_text: 0.2042 loss_kernel: 0.1111 loss_embedding: 0.0086 loss: 0.3240 2022/08/26 19:37:50 - mmengine - INFO - Epoch(train) [408][10/16] lr: 3.5916e-04 eta: 1:30:40 time: 2.9850 data_time: 0.5777 memory: 63381 loss_text: 0.1952 loss_kernel: 0.1068 loss_embedding: 0.0089 loss: 0.3109 2022/08/26 19:38:03 - mmengine - INFO - Epoch(train) [408][15/16] lr: 3.5916e-04 eta: 1:30:40 time: 2.5774 data_time: 0.1264 memory: 63381 loss_text: 0.1846 loss_kernel: 0.1022 loss_embedding: 0.0083 loss: 0.2951 2022/08/26 19:38:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:38:21 - mmengine - INFO - Epoch(train) [409][5/16] lr: 3.5748e-04 eta: 1:30:40 time: 2.8485 data_time: 0.5473 memory: 63381 loss_text: 0.1945 loss_kernel: 0.1069 loss_embedding: 0.0097 loss: 0.3112 2022/08/26 19:38:36 - mmengine - INFO - Epoch(train) [409][10/16] lr: 3.5748e-04 eta: 1:30:13 time: 3.1548 data_time: 0.6293 memory: 63381 loss_text: 0.1774 loss_kernel: 0.0981 loss_embedding: 0.0104 loss: 0.2858 2022/08/26 19:38:49 - mmengine - INFO - Epoch(train) [409][15/16] lr: 3.5748e-04 eta: 1:30:13 time: 2.8135 data_time: 0.1497 memory: 63381 loss_text: 0.1829 loss_kernel: 0.1008 loss_embedding: 0.0082 loss: 0.2919 2022/08/26 19:38:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:39:07 - mmengine - INFO - Epoch(train) [410][5/16] lr: 3.5579e-04 eta: 1:30:13 time: 2.8181 data_time: 0.4993 memory: 63381 loss_text: 0.2013 loss_kernel: 0.1090 loss_embedding: 0.0081 loss: 0.3184 2022/08/26 19:39:20 - mmengine - INFO - Epoch(train) [410][10/16] lr: 3.5579e-04 eta: 1:29:45 time: 2.9142 data_time: 0.5639 memory: 63381 loss_text: 0.1913 loss_kernel: 0.1037 loss_embedding: 0.0085 loss: 0.3035 2022/08/26 19:39:32 - mmengine - INFO - Epoch(train) [410][15/16] lr: 3.5579e-04 eta: 1:29:45 time: 2.4783 data_time: 0.1025 memory: 63381 loss_text: 0.1736 loss_kernel: 0.0981 loss_embedding: 0.0078 loss: 0.2795 2022/08/26 19:39:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:39:51 - mmengine - INFO - Epoch(train) [411][5/16] lr: 3.5410e-04 eta: 1:29:45 time: 2.8848 data_time: 0.5463 memory: 63381 loss_text: 0.1735 loss_kernel: 0.0980 loss_embedding: 0.0078 loss: 0.2793 2022/08/26 19:40:05 - mmengine - INFO - Epoch(train) [411][10/16] lr: 3.5410e-04 eta: 1:29:18 time: 3.1057 data_time: 0.5844 memory: 63381 loss_text: 0.1751 loss_kernel: 0.0954 loss_embedding: 0.0091 loss: 0.2796 2022/08/26 19:40:17 - mmengine - INFO - Epoch(train) [411][15/16] lr: 3.5410e-04 eta: 1:29:18 time: 2.6753 data_time: 0.1225 memory: 63381 loss_text: 0.1686 loss_kernel: 0.0929 loss_embedding: 0.0095 loss: 0.2710 2022/08/26 19:40:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:40:37 - mmengine - INFO - Epoch(train) [412][5/16] lr: 3.5242e-04 eta: 1:29:18 time: 2.9265 data_time: 0.6446 memory: 63381 loss_text: 0.1787 loss_kernel: 0.0995 loss_embedding: 0.0096 loss: 0.2878 2022/08/26 19:40:49 - mmengine - INFO - Epoch(train) [412][10/16] lr: 3.5242e-04 eta: 1:28:51 time: 3.0648 data_time: 0.6839 memory: 63381 loss_text: 0.1916 loss_kernel: 0.1033 loss_embedding: 0.0095 loss: 0.3044 2022/08/26 19:41:03 - mmengine - INFO - Epoch(train) [412][15/16] lr: 3.5242e-04 eta: 1:28:51 time: 2.6148 data_time: 0.1067 memory: 63381 loss_text: 0.2023 loss_kernel: 0.1076 loss_embedding: 0.0093 loss: 0.3193 2022/08/26 19:41:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:41:22 - mmengine - INFO - Epoch(train) [413][5/16] lr: 3.5073e-04 eta: 1:28:51 time: 2.9849 data_time: 0.5623 memory: 63381 loss_text: 0.1949 loss_kernel: 0.1055 loss_embedding: 0.0104 loss: 0.3108 2022/08/26 19:41:35 - mmengine - INFO - Epoch(train) [413][10/16] lr: 3.5073e-04 eta: 1:28:23 time: 2.9845 data_time: 0.6159 memory: 63381 loss_text: 0.1901 loss_kernel: 0.1057 loss_embedding: 0.0100 loss: 0.3058 2022/08/26 19:41:47 - mmengine - INFO - Epoch(train) [413][15/16] lr: 3.5073e-04 eta: 1:28:23 time: 2.5385 data_time: 0.0912 memory: 63381 loss_text: 0.1839 loss_kernel: 0.1020 loss_embedding: 0.0094 loss: 0.2953 2022/08/26 19:41:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:42:08 - mmengine - INFO - Epoch(train) [414][5/16] lr: 3.4904e-04 eta: 1:28:23 time: 3.0518 data_time: 0.6706 memory: 63381 loss_text: 0.1933 loss_kernel: 0.1057 loss_embedding: 0.0081 loss: 0.3071 2022/08/26 19:42:21 - mmengine - INFO - Epoch(train) [414][10/16] lr: 3.4904e-04 eta: 1:27:56 time: 3.1533 data_time: 0.7399 memory: 63381 loss_text: 0.1978 loss_kernel: 0.1078 loss_embedding: 0.0087 loss: 0.3144 2022/08/26 19:42:33 - mmengine - INFO - Epoch(train) [414][15/16] lr: 3.4904e-04 eta: 1:27:56 time: 2.4627 data_time: 0.1182 memory: 63381 loss_text: 0.1983 loss_kernel: 0.1069 loss_embedding: 0.0085 loss: 0.3137 2022/08/26 19:42:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:42:52 - mmengine - INFO - Epoch(train) [415][5/16] lr: 3.4735e-04 eta: 1:27:56 time: 2.8952 data_time: 0.5140 memory: 63381 loss_text: 0.2001 loss_kernel: 0.1086 loss_embedding: 0.0076 loss: 0.3163 2022/08/26 19:43:05 - mmengine - INFO - Epoch(train) [415][10/16] lr: 3.4735e-04 eta: 1:27:29 time: 3.0334 data_time: 0.5597 memory: 63381 loss_text: 0.1815 loss_kernel: 0.1003 loss_embedding: 0.0082 loss: 0.2900 2022/08/26 19:43:18 - mmengine - INFO - Epoch(train) [415][15/16] lr: 3.4735e-04 eta: 1:27:29 time: 2.5856 data_time: 0.1494 memory: 63381 loss_text: 0.1738 loss_kernel: 0.0961 loss_embedding: 0.0083 loss: 0.2782 2022/08/26 19:43:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:43:39 - mmengine - INFO - Epoch(train) [416][5/16] lr: 3.4566e-04 eta: 1:27:29 time: 3.0442 data_time: 0.6050 memory: 63381 loss_text: 0.1763 loss_kernel: 0.0981 loss_embedding: 0.0086 loss: 0.2829 2022/08/26 19:43:51 - mmengine - INFO - Epoch(train) [416][10/16] lr: 3.4566e-04 eta: 1:27:02 time: 3.1543 data_time: 0.6386 memory: 63381 loss_text: 0.1920 loss_kernel: 0.1055 loss_embedding: 0.0090 loss: 0.3065 2022/08/26 19:44:04 - mmengine - INFO - Epoch(train) [416][15/16] lr: 3.4566e-04 eta: 1:27:02 time: 2.5318 data_time: 0.1229 memory: 63381 loss_text: 0.2068 loss_kernel: 0.1120 loss_embedding: 0.0088 loss: 0.3276 2022/08/26 19:44:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:44:22 - mmengine - INFO - Epoch(train) [417][5/16] lr: 3.4397e-04 eta: 1:27:02 time: 2.7697 data_time: 0.5274 memory: 63381 loss_text: 0.1886 loss_kernel: 0.1036 loss_embedding: 0.0087 loss: 0.3010 2022/08/26 19:44:36 - mmengine - INFO - Epoch(train) [417][10/16] lr: 3.4397e-04 eta: 1:26:35 time: 3.0750 data_time: 0.5407 memory: 63381 loss_text: 0.2062 loss_kernel: 0.1128 loss_embedding: 0.0079 loss: 0.3269 2022/08/26 19:44:49 - mmengine - INFO - Epoch(train) [417][15/16] lr: 3.4397e-04 eta: 1:26:35 time: 2.7289 data_time: 0.1368 memory: 63381 loss_text: 0.2035 loss_kernel: 0.1127 loss_embedding: 0.0091 loss: 0.3253 2022/08/26 19:44:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:45:09 - mmengine - INFO - Epoch(train) [418][5/16] lr: 3.4228e-04 eta: 1:26:35 time: 2.9479 data_time: 0.5474 memory: 63381 loss_text: 0.1797 loss_kernel: 0.0999 loss_embedding: 0.0105 loss: 0.2901 2022/08/26 19:45:21 - mmengine - INFO - Epoch(train) [418][10/16] lr: 3.4228e-04 eta: 1:26:07 time: 2.9975 data_time: 0.5644 memory: 63381 loss_text: 0.1745 loss_kernel: 0.0977 loss_embedding: 0.0086 loss: 0.2807 2022/08/26 19:45:33 - mmengine - INFO - Epoch(train) [418][15/16] lr: 3.4228e-04 eta: 1:26:07 time: 2.4496 data_time: 0.0811 memory: 63381 loss_text: 0.1887 loss_kernel: 0.1006 loss_embedding: 0.0069 loss: 0.2961 2022/08/26 19:45:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:45:54 - mmengine - INFO - Epoch(train) [419][5/16] lr: 3.4059e-04 eta: 1:26:07 time: 3.0669 data_time: 0.6705 memory: 63381 loss_text: 0.2052 loss_kernel: 0.1074 loss_embedding: 0.0069 loss: 0.3196 2022/08/26 19:46:07 - mmengine - INFO - Epoch(train) [419][10/16] lr: 3.4059e-04 eta: 1:25:41 time: 3.1953 data_time: 0.7075 memory: 63381 loss_text: 0.1976 loss_kernel: 0.1069 loss_embedding: 0.0076 loss: 0.3120 2022/08/26 19:46:20 - mmengine - INFO - Epoch(train) [419][15/16] lr: 3.4059e-04 eta: 1:25:41 time: 2.6156 data_time: 0.1106 memory: 63381 loss_text: 0.2163 loss_kernel: 0.1151 loss_embedding: 0.0081 loss: 0.3396 2022/08/26 19:46:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:46:39 - mmengine - INFO - Epoch(train) [420][5/16] lr: 3.3889e-04 eta: 1:25:41 time: 2.8943 data_time: 0.5247 memory: 63381 loss_text: 0.2046 loss_kernel: 0.1097 loss_embedding: 0.0074 loss: 0.3216 2022/08/26 19:46:51 - mmengine - INFO - Epoch(train) [420][10/16] lr: 3.3889e-04 eta: 1:25:13 time: 2.9959 data_time: 0.5524 memory: 63381 loss_text: 0.1869 loss_kernel: 0.1008 loss_embedding: 0.0078 loss: 0.2955 2022/08/26 19:47:05 - mmengine - INFO - Epoch(train) [420][15/16] lr: 3.3889e-04 eta: 1:25:13 time: 2.5958 data_time: 0.0880 memory: 63381 loss_text: 0.1918 loss_kernel: 0.1046 loss_embedding: 0.0078 loss: 0.3042 2022/08/26 19:47:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:47:06 - mmengine - INFO - Saving checkpoint at 420 epochs 2022/08/26 19:47:10 - mmengine - INFO - Epoch(val) [420][5/500] eta: 1:25:13 time: 0.0623 data_time: 0.0154 memory: 39748 2022/08/26 19:47:10 - mmengine - INFO - Epoch(val) [420][10/500] eta: 0:00:31 time: 0.0644 data_time: 0.0157 memory: 661 2022/08/26 19:47:11 - mmengine - INFO - Epoch(val) [420][15/500] eta: 0:00:31 time: 0.0229 data_time: 0.0024 memory: 661 2022/08/26 19:47:11 - mmengine - INFO - Epoch(val) [420][20/500] eta: 0:00:11 time: 0.0234 data_time: 0.0024 memory: 661 2022/08/26 19:47:11 - mmengine - INFO - Epoch(val) [420][25/500] eta: 0:00:11 time: 0.0232 data_time: 0.0024 memory: 661 2022/08/26 19:47:11 - mmengine - INFO - Epoch(val) [420][30/500] eta: 0:00:11 time: 0.0239 data_time: 0.0023 memory: 661 2022/08/26 19:47:11 - mmengine - INFO - Epoch(val) [420][35/500] eta: 0:00:11 time: 0.0244 data_time: 0.0023 memory: 661 2022/08/26 19:47:11 - mmengine - INFO - Epoch(val) [420][40/500] eta: 0:00:13 time: 0.0293 data_time: 0.0069 memory: 661 2022/08/26 19:47:11 - mmengine - INFO - Epoch(val) [420][45/500] eta: 0:00:13 time: 0.0291 data_time: 0.0063 memory: 661 2022/08/26 19:47:11 - mmengine - INFO - Epoch(val) [420][50/500] eta: 0:00:10 time: 0.0239 data_time: 0.0015 memory: 661 2022/08/26 19:47:12 - mmengine - INFO - Epoch(val) [420][55/500] eta: 0:00:10 time: 0.0255 data_time: 0.0022 memory: 661 2022/08/26 19:47:12 - mmengine - INFO - Epoch(val) [420][60/500] eta: 0:00:10 time: 0.0233 data_time: 0.0025 memory: 661 2022/08/26 19:47:12 - mmengine - INFO - Epoch(val) [420][65/500] eta: 0:00:10 time: 0.0245 data_time: 0.0025 memory: 661 2022/08/26 19:47:12 - mmengine - INFO - Epoch(val) [420][70/500] eta: 0:00:10 time: 0.0253 data_time: 0.0024 memory: 661 2022/08/26 19:47:12 - mmengine - INFO - Epoch(val) [420][75/500] eta: 0:00:10 time: 0.0220 data_time: 0.0022 memory: 661 2022/08/26 19:47:12 - mmengine - INFO - Epoch(val) [420][80/500] eta: 0:00:08 time: 0.0207 data_time: 0.0022 memory: 661 2022/08/26 19:47:12 - mmengine - INFO - Epoch(val) [420][85/500] eta: 0:00:08 time: 0.0202 data_time: 0.0022 memory: 661 2022/08/26 19:47:12 - mmengine - INFO - Epoch(val) [420][90/500] eta: 0:00:09 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 19:47:13 - mmengine - INFO - Epoch(val) [420][95/500] eta: 0:00:09 time: 0.0247 data_time: 0.0026 memory: 661 2022/08/26 19:47:13 - mmengine - INFO - Epoch(val) [420][100/500] eta: 0:00:08 time: 0.0220 data_time: 0.0025 memory: 661 2022/08/26 19:47:13 - mmengine - INFO - Epoch(val) [420][105/500] eta: 0:00:08 time: 0.0208 data_time: 0.0020 memory: 661 2022/08/26 19:47:13 - mmengine - INFO - Epoch(val) [420][110/500] eta: 0:00:07 time: 0.0203 data_time: 0.0019 memory: 661 2022/08/26 19:47:13 - mmengine - INFO - Epoch(val) [420][115/500] eta: 0:00:07 time: 0.0352 data_time: 0.0029 memory: 661 2022/08/26 19:47:13 - mmengine - INFO - Epoch(val) [420][120/500] eta: 0:00:13 time: 0.0360 data_time: 0.0028 memory: 661 2022/08/26 19:47:13 - mmengine - INFO - Epoch(val) [420][125/500] eta: 0:00:13 time: 0.0321 data_time: 0.0025 memory: 661 2022/08/26 19:47:14 - mmengine - INFO - Epoch(val) [420][130/500] eta: 0:00:13 time: 0.0354 data_time: 0.0029 memory: 661 2022/08/26 19:47:14 - mmengine - INFO - Epoch(val) [420][135/500] eta: 0:00:13 time: 0.0367 data_time: 0.0025 memory: 661 2022/08/26 19:47:14 - mmengine - INFO - Epoch(val) [420][140/500] eta: 0:00:13 time: 0.0361 data_time: 0.0024 memory: 661 2022/08/26 19:47:14 - mmengine - INFO - Epoch(val) [420][145/500] eta: 0:00:13 time: 0.0349 data_time: 0.0027 memory: 661 2022/08/26 19:47:14 - mmengine - INFO - Epoch(val) [420][150/500] eta: 0:00:15 time: 0.0451 data_time: 0.0034 memory: 661 2022/08/26 19:47:15 - mmengine - INFO - Epoch(val) [420][155/500] eta: 0:00:15 time: 0.0398 data_time: 0.0030 memory: 661 2022/08/26 19:47:15 - mmengine - INFO - Epoch(val) [420][160/500] eta: 0:00:13 time: 0.0389 data_time: 0.0025 memory: 661 2022/08/26 19:47:15 - mmengine - INFO - Epoch(val) [420][165/500] eta: 0:00:13 time: 0.0427 data_time: 0.0026 memory: 661 2022/08/26 19:47:15 - mmengine - INFO - Epoch(val) [420][170/500] eta: 0:00:11 time: 0.0355 data_time: 0.0026 memory: 661 2022/08/26 19:47:15 - mmengine - INFO - Epoch(val) [420][175/500] eta: 0:00:11 time: 0.0380 data_time: 0.0032 memory: 661 2022/08/26 19:47:15 - mmengine - INFO - Epoch(val) [420][180/500] eta: 0:00:11 time: 0.0356 data_time: 0.0036 memory: 661 2022/08/26 19:47:16 - mmengine - INFO - Epoch(val) [420][185/500] eta: 0:00:11 time: 0.0295 data_time: 0.0030 memory: 661 2022/08/26 19:47:16 - mmengine - INFO - Epoch(val) [420][190/500] eta: 0:00:10 time: 0.0350 data_time: 0.0028 memory: 661 2022/08/26 19:47:16 - mmengine - INFO - Epoch(val) [420][195/500] eta: 0:00:10 time: 0.0322 data_time: 0.0027 memory: 661 2022/08/26 19:47:16 - mmengine - INFO - Epoch(val) [420][200/500] eta: 0:00:10 time: 0.0350 data_time: 0.0028 memory: 661 2022/08/26 19:47:16 - mmengine - INFO - Epoch(val) [420][205/500] eta: 0:00:10 time: 0.0325 data_time: 0.0028 memory: 661 2022/08/26 19:47:16 - mmengine - INFO - Epoch(val) [420][210/500] eta: 0:00:06 time: 0.0218 data_time: 0.0024 memory: 661 2022/08/26 19:47:17 - mmengine - INFO - Epoch(val) [420][215/500] eta: 0:00:06 time: 0.0225 data_time: 0.0023 memory: 661 2022/08/26 19:47:17 - mmengine - INFO - Epoch(val) [420][220/500] eta: 0:00:07 time: 0.0284 data_time: 0.0022 memory: 661 2022/08/26 19:47:17 - mmengine - INFO - Epoch(val) [420][225/500] eta: 0:00:07 time: 0.0356 data_time: 0.0029 memory: 661 2022/08/26 19:47:17 - mmengine - INFO - Epoch(val) [420][230/500] eta: 0:00:07 time: 0.0293 data_time: 0.0029 memory: 661 2022/08/26 19:47:17 - mmengine - INFO - Epoch(val) [420][235/500] eta: 0:00:07 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 19:47:17 - mmengine - INFO - Epoch(val) [420][240/500] eta: 0:00:07 time: 0.0282 data_time: 0.0021 memory: 661 2022/08/26 19:47:17 - mmengine - INFO - Epoch(val) [420][245/500] eta: 0:00:07 time: 0.0331 data_time: 0.0024 memory: 661 2022/08/26 19:47:18 - mmengine - INFO - Epoch(val) [420][250/500] eta: 0:00:09 time: 0.0378 data_time: 0.0026 memory: 661 2022/08/26 19:47:18 - mmengine - INFO - Epoch(val) [420][255/500] eta: 0:00:09 time: 0.0331 data_time: 0.0025 memory: 661 2022/08/26 19:47:18 - mmengine - INFO - Epoch(val) [420][260/500] eta: 0:00:08 time: 0.0335 data_time: 0.0025 memory: 661 2022/08/26 19:47:18 - mmengine - INFO - Epoch(val) [420][265/500] eta: 0:00:08 time: 0.0332 data_time: 0.0025 memory: 661 2022/08/26 19:47:18 - mmengine - INFO - Epoch(val) [420][270/500] eta: 0:00:06 time: 0.0291 data_time: 0.0022 memory: 661 2022/08/26 19:47:18 - mmengine - INFO - Epoch(val) [420][275/500] eta: 0:00:06 time: 0.0319 data_time: 0.0022 memory: 661 2022/08/26 19:47:19 - mmengine - INFO - Epoch(val) [420][280/500] eta: 0:00:07 time: 0.0330 data_time: 0.0028 memory: 661 2022/08/26 19:47:19 - mmengine - INFO - Epoch(val) [420][285/500] eta: 0:00:07 time: 0.0332 data_time: 0.0028 memory: 661 2022/08/26 19:47:19 - mmengine - INFO - Epoch(val) [420][290/500] eta: 0:00:07 time: 0.0335 data_time: 0.0025 memory: 661 2022/08/26 19:47:19 - mmengine - INFO - Epoch(val) [420][295/500] eta: 0:00:07 time: 0.0326 data_time: 0.0024 memory: 661 2022/08/26 19:47:19 - mmengine - INFO - Epoch(val) [420][300/500] eta: 0:00:04 time: 0.0249 data_time: 0.0020 memory: 661 2022/08/26 19:47:19 - mmengine - INFO - Epoch(val) [420][305/500] eta: 0:00:04 time: 0.0209 data_time: 0.0020 memory: 661 2022/08/26 19:47:19 - mmengine - INFO - Epoch(val) [420][310/500] eta: 0:00:05 time: 0.0312 data_time: 0.0026 memory: 661 2022/08/26 19:47:20 - mmengine - INFO - Epoch(val) [420][315/500] eta: 0:00:05 time: 0.0377 data_time: 0.0027 memory: 661 2022/08/26 19:47:20 - mmengine - INFO - Epoch(val) [420][320/500] eta: 0:00:05 time: 0.0331 data_time: 0.0023 memory: 661 2022/08/26 19:47:20 - mmengine - INFO - Epoch(val) [420][325/500] eta: 0:00:05 time: 0.0416 data_time: 0.0024 memory: 661 2022/08/26 19:47:20 - mmengine - INFO - Epoch(val) [420][330/500] eta: 0:00:07 time: 0.0431 data_time: 0.0023 memory: 661 2022/08/26 19:47:21 - mmengine - INFO - Epoch(val) [420][335/500] eta: 0:00:07 time: 0.0536 data_time: 0.0039 memory: 661 2022/08/26 19:47:21 - mmengine - INFO - Epoch(val) [420][340/500] eta: 0:00:08 time: 0.0518 data_time: 0.0040 memory: 661 2022/08/26 19:47:21 - mmengine - INFO - Epoch(val) [420][345/500] eta: 0:00:08 time: 0.0270 data_time: 0.0022 memory: 661 2022/08/26 19:47:21 - mmengine - INFO - Epoch(val) [420][350/500] eta: 0:00:03 time: 0.0250 data_time: 0.0021 memory: 661 2022/08/26 19:47:21 - mmengine - INFO - Epoch(val) [420][355/500] eta: 0:00:03 time: 0.0287 data_time: 0.0023 memory: 661 2022/08/26 19:47:21 - mmengine - INFO - Epoch(val) [420][360/500] eta: 0:00:04 time: 0.0330 data_time: 0.0024 memory: 661 2022/08/26 19:47:22 - mmengine - INFO - Epoch(val) [420][365/500] eta: 0:00:04 time: 0.0348 data_time: 0.0024 memory: 661 2022/08/26 19:47:22 - mmengine - INFO - Epoch(val) [420][370/500] eta: 0:00:04 time: 0.0334 data_time: 0.0025 memory: 661 2022/08/26 19:47:22 - mmengine - INFO - Epoch(val) [420][375/500] eta: 0:00:04 time: 0.0276 data_time: 0.0026 memory: 661 2022/08/26 19:47:22 - mmengine - INFO - Epoch(val) [420][380/500] eta: 0:00:03 time: 0.0331 data_time: 0.0025 memory: 661 2022/08/26 19:47:22 - mmengine - INFO - Epoch(val) [420][385/500] eta: 0:00:03 time: 0.0337 data_time: 0.0024 memory: 661 2022/08/26 19:47:22 - mmengine - INFO - Epoch(val) [420][390/500] eta: 0:00:03 time: 0.0327 data_time: 0.0023 memory: 661 2022/08/26 19:47:22 - mmengine - INFO - Epoch(val) [420][395/500] eta: 0:00:03 time: 0.0335 data_time: 0.0023 memory: 661 2022/08/26 19:47:23 - mmengine - INFO - Epoch(val) [420][400/500] eta: 0:00:02 time: 0.0268 data_time: 0.0022 memory: 661 2022/08/26 19:47:23 - mmengine - INFO - Epoch(val) [420][405/500] eta: 0:00:02 time: 0.0322 data_time: 0.0023 memory: 661 2022/08/26 19:47:23 - mmengine - INFO - Epoch(val) [420][410/500] eta: 0:00:02 time: 0.0286 data_time: 0.0021 memory: 661 2022/08/26 19:47:23 - mmengine - INFO - Epoch(val) [420][415/500] eta: 0:00:02 time: 0.0335 data_time: 0.0026 memory: 661 2022/08/26 19:47:23 - mmengine - INFO - Epoch(val) [420][420/500] eta: 0:00:02 time: 0.0323 data_time: 0.0030 memory: 661 2022/08/26 19:47:23 - mmengine - INFO - Epoch(val) [420][425/500] eta: 0:00:02 time: 0.0268 data_time: 0.0024 memory: 661 2022/08/26 19:47:24 - mmengine - INFO - Epoch(val) [420][430/500] eta: 0:00:02 time: 0.0325 data_time: 0.0022 memory: 661 2022/08/26 19:47:24 - mmengine - INFO - Epoch(val) [420][435/500] eta: 0:00:02 time: 0.0374 data_time: 0.0027 memory: 661 2022/08/26 19:47:24 - mmengine - INFO - Epoch(val) [420][440/500] eta: 0:00:01 time: 0.0328 data_time: 0.0026 memory: 661 2022/08/26 19:47:24 - mmengine - INFO - Epoch(val) [420][445/500] eta: 0:00:01 time: 0.0322 data_time: 0.0020 memory: 661 2022/08/26 19:47:24 - mmengine - INFO - Epoch(val) [420][450/500] eta: 0:00:01 time: 0.0345 data_time: 0.0020 memory: 661 2022/08/26 19:47:25 - mmengine - INFO - Epoch(val) [420][455/500] eta: 0:00:01 time: 0.0894 data_time: 0.0076 memory: 661 2022/08/26 19:47:25 - mmengine - INFO - Epoch(val) [420][460/500] eta: 0:00:03 time: 0.0875 data_time: 0.0091 memory: 661 2022/08/26 19:47:25 - mmengine - INFO - Epoch(val) [420][465/500] eta: 0:00:03 time: 0.0224 data_time: 0.0036 memory: 661 2022/08/26 19:47:25 - mmengine - INFO - Epoch(val) [420][470/500] eta: 0:00:00 time: 0.0230 data_time: 0.0024 memory: 661 2022/08/26 19:47:25 - mmengine - INFO - Epoch(val) [420][475/500] eta: 0:00:00 time: 0.0279 data_time: 0.0022 memory: 661 2022/08/26 19:47:26 - mmengine - INFO - Epoch(val) [420][480/500] eta: 0:00:00 time: 0.0330 data_time: 0.0021 memory: 661 2022/08/26 19:47:26 - mmengine - INFO - Epoch(val) [420][485/500] eta: 0:00:00 time: 0.0274 data_time: 0.0021 memory: 661 2022/08/26 19:47:26 - mmengine - INFO - Epoch(val) [420][490/500] eta: 0:00:00 time: 0.0245 data_time: 0.0018 memory: 661 2022/08/26 19:47:26 - mmengine - INFO - Epoch(val) [420][495/500] eta: 0:00:00 time: 0.0353 data_time: 0.0022 memory: 661 2022/08/26 19:47:26 - mmengine - INFO - Epoch(val) [420][500/500] eta: 0:00:00 time: 0.0319 data_time: 0.0026 memory: 661 2022/08/26 19:47:26 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7087, precision: 0.7813, hmean: 0.7432 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7087, precision: 0.7813, hmean: 0.7432 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7087, precision: 0.7813, hmean: 0.7432 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7087, precision: 0.7813, hmean: 0.7432 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7087, precision: 0.7813, hmean: 0.7432 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7087, precision: 0.7813, hmean: 0.7432 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7087, precision: 0.7842, hmean: 0.7446 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7082, precision: 0.7913, hmean: 0.7475 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7078, precision: 0.8020, hmean: 0.7519 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7049, precision: 0.8106, hmean: 0.7541 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7005, precision: 0.8239, hmean: 0.7572 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.6899, precision: 0.8405, hmean: 0.7578 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6529, precision: 0.8642, hmean: 0.7438 2022/08/26 19:47:26 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3365, precision: 0.9125, hmean: 0.4917 2022/08/26 19:47:26 - mmengine - INFO - Epoch(val) [420][500/500] icdar/precision: 0.8405 icdar/recall: 0.6899 icdar/hmean: 0.7578 2022/08/26 19:47:43 - mmengine - INFO - Epoch(train) [421][5/16] lr: 3.3720e-04 eta: 0:00:00 time: 2.8921 data_time: 0.4966 memory: 63381 loss_text: 0.2008 loss_kernel: 0.1103 loss_embedding: 0.0073 loss: 0.3183 2022/08/26 19:47:57 - mmengine - INFO - Epoch(train) [421][10/16] lr: 3.3720e-04 eta: 1:24:46 time: 3.0707 data_time: 0.5465 memory: 63381 loss_text: 0.2081 loss_kernel: 0.1130 loss_embedding: 0.0085 loss: 0.3296 2022/08/26 19:48:12 - mmengine - INFO - Epoch(train) [421][15/16] lr: 3.3720e-04 eta: 1:24:46 time: 2.8035 data_time: 0.1458 memory: 63381 loss_text: 0.1922 loss_kernel: 0.1045 loss_embedding: 0.0087 loss: 0.3054 2022/08/26 19:48:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:48:31 - mmengine - INFO - Epoch(train) [422][5/16] lr: 3.3550e-04 eta: 1:24:46 time: 3.1362 data_time: 0.6565 memory: 63381 loss_text: 0.1950 loss_kernel: 0.1041 loss_embedding: 0.0093 loss: 0.3084 2022/08/26 19:48:45 - mmengine - INFO - Epoch(train) [422][10/16] lr: 3.3550e-04 eta: 1:24:18 time: 3.1455 data_time: 0.6998 memory: 63381 loss_text: 0.2042 loss_kernel: 0.1077 loss_embedding: 0.0093 loss: 0.3212 2022/08/26 19:48:57 - mmengine - INFO - Epoch(train) [422][15/16] lr: 3.3550e-04 eta: 1:24:18 time: 2.5901 data_time: 0.1163 memory: 63381 loss_text: 0.1880 loss_kernel: 0.1020 loss_embedding: 0.0075 loss: 0.2976 2022/08/26 19:48:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:49:18 - mmengine - INFO - Epoch(train) [423][5/16] lr: 3.3380e-04 eta: 1:24:18 time: 3.1327 data_time: 0.5530 memory: 63381 loss_text: 0.1918 loss_kernel: 0.1065 loss_embedding: 0.0075 loss: 0.3057 2022/08/26 19:49:31 - mmengine - INFO - Epoch(train) [423][10/16] lr: 3.3380e-04 eta: 1:23:52 time: 3.2564 data_time: 0.6254 memory: 63381 loss_text: 0.1834 loss_kernel: 0.1015 loss_embedding: 0.0081 loss: 0.2930 2022/08/26 19:49:44 - mmengine - INFO - Epoch(train) [423][15/16] lr: 3.3380e-04 eta: 1:23:52 time: 2.5720 data_time: 0.1311 memory: 63381 loss_text: 0.1688 loss_kernel: 0.0935 loss_embedding: 0.0088 loss: 0.2711 2022/08/26 19:49:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:50:03 - mmengine - INFO - Epoch(train) [424][5/16] lr: 3.3211e-04 eta: 1:23:52 time: 2.9117 data_time: 0.5354 memory: 63381 loss_text: 0.1848 loss_kernel: 0.1018 loss_embedding: 0.0073 loss: 0.2939 2022/08/26 19:50:17 - mmengine - INFO - Epoch(train) [424][10/16] lr: 3.3211e-04 eta: 1:23:24 time: 3.0593 data_time: 0.5705 memory: 63381 loss_text: 0.1891 loss_kernel: 0.1050 loss_embedding: 0.0072 loss: 0.3013 2022/08/26 19:50:31 - mmengine - INFO - Epoch(train) [424][15/16] lr: 3.3211e-04 eta: 1:23:24 time: 2.7667 data_time: 0.1111 memory: 63381 loss_text: 0.1829 loss_kernel: 0.1015 loss_embedding: 0.0083 loss: 0.2926 2022/08/26 19:50:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:50:49 - mmengine - INFO - Epoch(train) [425][5/16] lr: 3.3041e-04 eta: 1:23:24 time: 3.0258 data_time: 0.5066 memory: 63381 loss_text: 0.1865 loss_kernel: 0.1020 loss_embedding: 0.0078 loss: 0.2963 2022/08/26 19:51:02 - mmengine - INFO - Epoch(train) [425][10/16] lr: 3.3041e-04 eta: 1:22:57 time: 3.0086 data_time: 0.5548 memory: 63381 loss_text: 0.1996 loss_kernel: 0.1085 loss_embedding: 0.0078 loss: 0.3159 2022/08/26 19:51:15 - mmengine - INFO - Epoch(train) [425][15/16] lr: 3.3041e-04 eta: 1:22:57 time: 2.5435 data_time: 0.0959 memory: 63381 loss_text: 0.1928 loss_kernel: 0.1039 loss_embedding: 0.0080 loss: 0.3047 2022/08/26 19:51:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:51:34 - mmengine - INFO - Epoch(train) [426][5/16] lr: 3.2871e-04 eta: 1:22:57 time: 2.9558 data_time: 0.5479 memory: 63381 loss_text: 0.1901 loss_kernel: 0.1023 loss_embedding: 0.0078 loss: 0.3002 2022/08/26 19:51:48 - mmengine - INFO - Epoch(train) [426][10/16] lr: 3.2871e-04 eta: 1:22:30 time: 3.1200 data_time: 0.5834 memory: 63381 loss_text: 0.1978 loss_kernel: 0.1064 loss_embedding: 0.0081 loss: 0.3122 2022/08/26 19:52:01 - mmengine - INFO - Epoch(train) [426][15/16] lr: 3.2871e-04 eta: 1:22:30 time: 2.6491 data_time: 0.0948 memory: 63381 loss_text: 0.1887 loss_kernel: 0.1034 loss_embedding: 0.0084 loss: 0.3005 2022/08/26 19:52:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:52:20 - mmengine - INFO - Epoch(train) [427][5/16] lr: 3.2701e-04 eta: 1:22:30 time: 2.9297 data_time: 0.5156 memory: 63381 loss_text: 0.1749 loss_kernel: 0.0973 loss_embedding: 0.0082 loss: 0.2804 2022/08/26 19:52:32 - mmengine - INFO - Epoch(train) [427][10/16] lr: 3.2701e-04 eta: 1:22:02 time: 2.9685 data_time: 0.5384 memory: 63381 loss_text: 0.1841 loss_kernel: 0.1014 loss_embedding: 0.0082 loss: 0.2937 2022/08/26 19:52:46 - mmengine - INFO - Epoch(train) [427][15/16] lr: 3.2701e-04 eta: 1:22:02 time: 2.6213 data_time: 0.0859 memory: 63381 loss_text: 0.1906 loss_kernel: 0.1053 loss_embedding: 0.0079 loss: 0.3038 2022/08/26 19:52:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:53:05 - mmengine - INFO - Epoch(train) [428][5/16] lr: 3.2531e-04 eta: 1:22:02 time: 2.9738 data_time: 0.5251 memory: 63381 loss_text: 0.1913 loss_kernel: 0.1066 loss_embedding: 0.0071 loss: 0.3050 2022/08/26 19:53:18 - mmengine - INFO - Epoch(train) [428][10/16] lr: 3.2531e-04 eta: 1:21:34 time: 3.0573 data_time: 0.5850 memory: 63381 loss_text: 0.1866 loss_kernel: 0.1054 loss_embedding: 0.0076 loss: 0.2996 2022/08/26 19:53:31 - mmengine - INFO - Epoch(train) [428][15/16] lr: 3.2531e-04 eta: 1:21:34 time: 2.6455 data_time: 0.1169 memory: 63381 loss_text: 0.1831 loss_kernel: 0.1023 loss_embedding: 0.0079 loss: 0.2933 2022/08/26 19:53:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:53:51 - mmengine - INFO - Epoch(train) [429][5/16] lr: 3.2360e-04 eta: 1:21:34 time: 2.9961 data_time: 0.5457 memory: 63381 loss_text: 0.1911 loss_kernel: 0.1048 loss_embedding: 0.0078 loss: 0.3037 2022/08/26 19:54:05 - mmengine - INFO - Epoch(train) [429][10/16] lr: 3.2360e-04 eta: 1:21:07 time: 3.1893 data_time: 0.6100 memory: 63381 loss_text: 0.1794 loss_kernel: 0.0991 loss_embedding: 0.0076 loss: 0.2861 2022/08/26 19:54:16 - mmengine - INFO - Epoch(train) [429][15/16] lr: 3.2360e-04 eta: 1:21:07 time: 2.5404 data_time: 0.1022 memory: 63381 loss_text: 0.1699 loss_kernel: 0.0946 loss_embedding: 0.0082 loss: 0.2727 2022/08/26 19:54:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:54:37 - mmengine - INFO - Epoch(train) [430][5/16] lr: 3.2190e-04 eta: 1:21:07 time: 2.9518 data_time: 0.5258 memory: 63381 loss_text: 0.1681 loss_kernel: 0.0940 loss_embedding: 0.0084 loss: 0.2705 2022/08/26 19:54:49 - mmengine - INFO - Epoch(train) [430][10/16] lr: 3.2190e-04 eta: 1:20:40 time: 3.1069 data_time: 0.5738 memory: 63381 loss_text: 0.1723 loss_kernel: 0.0961 loss_embedding: 0.0096 loss: 0.2781 2022/08/26 19:55:03 - mmengine - INFO - Epoch(train) [430][15/16] lr: 3.2190e-04 eta: 1:20:40 time: 2.6346 data_time: 0.0933 memory: 63381 loss_text: 0.2109 loss_kernel: 0.1142 loss_embedding: 0.0088 loss: 0.3339 2022/08/26 19:55:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:55:23 - mmengine - INFO - Epoch(train) [431][5/16] lr: 3.2019e-04 eta: 1:20:40 time: 3.1420 data_time: 0.5403 memory: 63381 loss_text: 0.2299 loss_kernel: 0.1239 loss_embedding: 0.0081 loss: 0.3619 2022/08/26 19:55:35 - mmengine - INFO - Epoch(train) [431][10/16] lr: 3.2019e-04 eta: 1:20:12 time: 2.9846 data_time: 0.5527 memory: 63381 loss_text: 0.1829 loss_kernel: 0.0991 loss_embedding: 0.0080 loss: 0.2901 2022/08/26 19:55:48 - mmengine - INFO - Epoch(train) [431][15/16] lr: 3.2019e-04 eta: 1:20:12 time: 2.5270 data_time: 0.0845 memory: 63381 loss_text: 0.1752 loss_kernel: 0.0927 loss_embedding: 0.0091 loss: 0.2770 2022/08/26 19:55:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:56:07 - mmengine - INFO - Epoch(train) [432][5/16] lr: 3.1849e-04 eta: 1:20:12 time: 2.8469 data_time: 0.5437 memory: 63381 loss_text: 0.1958 loss_kernel: 0.1054 loss_embedding: 0.0076 loss: 0.3089 2022/08/26 19:56:22 - mmengine - INFO - Epoch(train) [432][10/16] lr: 3.1849e-04 eta: 1:19:45 time: 3.1877 data_time: 0.5912 memory: 63381 loss_text: 0.1953 loss_kernel: 0.1063 loss_embedding: 0.0081 loss: 0.3097 2022/08/26 19:56:33 - mmengine - INFO - Epoch(train) [432][15/16] lr: 3.1849e-04 eta: 1:19:45 time: 2.6306 data_time: 0.1011 memory: 63381 loss_text: 0.1837 loss_kernel: 0.1000 loss_embedding: 0.0084 loss: 0.2921 2022/08/26 19:56:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:56:52 - mmengine - INFO - Epoch(train) [433][5/16] lr: 3.1678e-04 eta: 1:19:45 time: 2.8033 data_time: 0.5271 memory: 63381 loss_text: 0.1839 loss_kernel: 0.1006 loss_embedding: 0.0076 loss: 0.2921 2022/08/26 19:57:05 - mmengine - INFO - Epoch(train) [433][10/16] lr: 3.1678e-04 eta: 1:19:17 time: 3.0239 data_time: 0.5918 memory: 63381 loss_text: 0.1759 loss_kernel: 0.0959 loss_embedding: 0.0085 loss: 0.2804 2022/08/26 19:57:17 - mmengine - INFO - Epoch(train) [433][15/16] lr: 3.1678e-04 eta: 1:19:17 time: 2.5252 data_time: 0.1027 memory: 63381 loss_text: 0.1859 loss_kernel: 0.1014 loss_embedding: 0.0090 loss: 0.2962 2022/08/26 19:57:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:57:39 - mmengine - INFO - Epoch(train) [434][5/16] lr: 3.1507e-04 eta: 1:19:17 time: 3.1200 data_time: 0.6429 memory: 63381 loss_text: 0.1955 loss_kernel: 0.1064 loss_embedding: 0.0087 loss: 0.3107 2022/08/26 19:57:51 - mmengine - INFO - Epoch(train) [434][10/16] lr: 3.1507e-04 eta: 1:18:50 time: 3.2177 data_time: 0.6915 memory: 63381 loss_text: 0.1746 loss_kernel: 0.0974 loss_embedding: 0.0081 loss: 0.2800 2022/08/26 19:58:04 - mmengine - INFO - Epoch(train) [434][15/16] lr: 3.1507e-04 eta: 1:18:50 time: 2.5450 data_time: 0.1095 memory: 63381 loss_text: 0.1793 loss_kernel: 0.0996 loss_embedding: 0.0068 loss: 0.2858 2022/08/26 19:58:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:58:23 - mmengine - INFO - Epoch(train) [435][5/16] lr: 3.1337e-04 eta: 1:18:50 time: 2.8927 data_time: 0.5217 memory: 63381 loss_text: 0.1710 loss_kernel: 0.0959 loss_embedding: 0.0069 loss: 0.2738 2022/08/26 19:58:36 - mmengine - INFO - Epoch(train) [435][10/16] lr: 3.1337e-04 eta: 1:18:22 time: 2.9512 data_time: 0.5490 memory: 63381 loss_text: 0.1693 loss_kernel: 0.0949 loss_embedding: 0.0083 loss: 0.2724 2022/08/26 19:58:51 - mmengine - INFO - Epoch(train) [435][15/16] lr: 3.1337e-04 eta: 1:18:22 time: 2.8134 data_time: 0.1215 memory: 63381 loss_text: 0.1667 loss_kernel: 0.0929 loss_embedding: 0.0083 loss: 0.2679 2022/08/26 19:58:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:59:10 - mmengine - INFO - Epoch(train) [436][5/16] lr: 3.1166e-04 eta: 1:18:22 time: 2.9891 data_time: 0.5133 memory: 63381 loss_text: 0.1904 loss_kernel: 0.1045 loss_embedding: 0.0088 loss: 0.3037 2022/08/26 19:59:23 - mmengine - INFO - Epoch(train) [436][10/16] lr: 3.1166e-04 eta: 1:17:54 time: 3.0312 data_time: 0.5777 memory: 63381 loss_text: 0.2044 loss_kernel: 0.1112 loss_embedding: 0.0085 loss: 0.3241 2022/08/26 19:59:35 - mmengine - INFO - Epoch(train) [436][15/16] lr: 3.1166e-04 eta: 1:17:54 time: 2.5156 data_time: 0.1226 memory: 63381 loss_text: 0.1982 loss_kernel: 0.1058 loss_embedding: 0.0078 loss: 0.3119 2022/08/26 19:59:37 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 19:59:55 - mmengine - INFO - Epoch(train) [437][5/16] lr: 3.0995e-04 eta: 1:17:54 time: 2.9998 data_time: 0.5169 memory: 63381 loss_text: 0.2006 loss_kernel: 0.1047 loss_embedding: 0.0072 loss: 0.3125 2022/08/26 20:00:09 - mmengine - INFO - Epoch(train) [437][10/16] lr: 3.0995e-04 eta: 1:17:27 time: 3.1611 data_time: 0.5842 memory: 63381 loss_text: 0.2049 loss_kernel: 0.1089 loss_embedding: 0.0077 loss: 0.3215 2022/08/26 20:00:21 - mmengine - INFO - Epoch(train) [437][15/16] lr: 3.0995e-04 eta: 1:17:27 time: 2.5404 data_time: 0.1323 memory: 63381 loss_text: 0.2042 loss_kernel: 0.1112 loss_embedding: 0.0079 loss: 0.3233 2022/08/26 20:00:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:00:39 - mmengine - INFO - Epoch(train) [438][5/16] lr: 3.0823e-04 eta: 1:17:27 time: 2.7464 data_time: 0.5030 memory: 63381 loss_text: 0.1792 loss_kernel: 0.1008 loss_embedding: 0.0098 loss: 0.2898 2022/08/26 20:00:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:00:51 - mmengine - INFO - Epoch(train) [438][10/16] lr: 3.0823e-04 eta: 1:16:59 time: 2.9051 data_time: 0.5669 memory: 63381 loss_text: 0.1745 loss_kernel: 0.0973 loss_embedding: 0.0094 loss: 0.2811 2022/08/26 20:01:05 - mmengine - INFO - Epoch(train) [438][15/16] lr: 3.0823e-04 eta: 1:16:59 time: 2.5577 data_time: 0.1109 memory: 63381 loss_text: 0.1927 loss_kernel: 0.1047 loss_embedding: 0.0084 loss: 0.3058 2022/08/26 20:01:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:01:25 - mmengine - INFO - Epoch(train) [439][5/16] lr: 3.0652e-04 eta: 1:16:59 time: 3.0601 data_time: 0.6285 memory: 63381 loss_text: 0.1811 loss_kernel: 0.1001 loss_embedding: 0.0085 loss: 0.2896 2022/08/26 20:01:38 - mmengine - INFO - Epoch(train) [439][10/16] lr: 3.0652e-04 eta: 1:16:32 time: 3.1541 data_time: 0.6831 memory: 63381 loss_text: 0.1882 loss_kernel: 0.1041 loss_embedding: 0.0093 loss: 0.3017 2022/08/26 20:01:51 - mmengine - INFO - Epoch(train) [439][15/16] lr: 3.0652e-04 eta: 1:16:32 time: 2.6339 data_time: 0.1212 memory: 63381 loss_text: 0.1945 loss_kernel: 0.1073 loss_embedding: 0.0087 loss: 0.3106 2022/08/26 20:01:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:02:11 - mmengine - INFO - Epoch(train) [440][5/16] lr: 3.0481e-04 eta: 1:16:32 time: 2.9778 data_time: 0.5403 memory: 63381 loss_text: 0.1944 loss_kernel: 0.1059 loss_embedding: 0.0078 loss: 0.3080 2022/08/26 20:02:25 - mmengine - INFO - Epoch(train) [440][10/16] lr: 3.0481e-04 eta: 1:16:04 time: 3.1915 data_time: 0.6040 memory: 63381 loss_text: 0.1992 loss_kernel: 0.1069 loss_embedding: 0.0076 loss: 0.3137 2022/08/26 20:02:38 - mmengine - INFO - Epoch(train) [440][15/16] lr: 3.0481e-04 eta: 1:16:04 time: 2.7178 data_time: 0.1047 memory: 63381 loss_text: 0.1877 loss_kernel: 0.1001 loss_embedding: 0.0079 loss: 0.2957 2022/08/26 20:02:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:02:39 - mmengine - INFO - Saving checkpoint at 440 epochs 2022/08/26 20:02:43 - mmengine - INFO - Epoch(val) [440][5/500] eta: 1:16:04 time: 0.0576 data_time: 0.0141 memory: 39748 2022/08/26 20:02:43 - mmengine - INFO - Epoch(val) [440][10/500] eta: 0:00:31 time: 0.0634 data_time: 0.0137 memory: 661 2022/08/26 20:02:43 - mmengine - INFO - Epoch(val) [440][15/500] eta: 0:00:31 time: 0.0322 data_time: 0.0020 memory: 661 2022/08/26 20:02:44 - mmengine - INFO - Epoch(val) [440][20/500] eta: 0:00:15 time: 0.0318 data_time: 0.0023 memory: 661 2022/08/26 20:02:44 - mmengine - INFO - Epoch(val) [440][25/500] eta: 0:00:15 time: 0.0372 data_time: 0.0024 memory: 661 2022/08/26 20:02:44 - mmengine - INFO - Epoch(val) [440][30/500] eta: 0:00:18 time: 0.0400 data_time: 0.0022 memory: 661 2022/08/26 20:02:44 - mmengine - INFO - Epoch(val) [440][35/500] eta: 0:00:18 time: 0.0351 data_time: 0.0023 memory: 661 2022/08/26 20:02:44 - mmengine - INFO - Epoch(val) [440][40/500] eta: 0:00:17 time: 0.0380 data_time: 0.0024 memory: 661 2022/08/26 20:02:45 - mmengine - INFO - Epoch(val) [440][45/500] eta: 0:00:17 time: 0.0437 data_time: 0.0023 memory: 661 2022/08/26 20:02:45 - mmengine - INFO - Epoch(val) [440][50/500] eta: 0:00:17 time: 0.0395 data_time: 0.0024 memory: 661 2022/08/26 20:02:45 - mmengine - INFO - Epoch(val) [440][55/500] eta: 0:00:17 time: 0.0383 data_time: 0.0025 memory: 661 2022/08/26 20:02:45 - mmengine - INFO - Epoch(val) [440][60/500] eta: 0:00:14 time: 0.0334 data_time: 0.0024 memory: 661 2022/08/26 20:02:45 - mmengine - INFO - Epoch(val) [440][65/500] eta: 0:00:14 time: 0.0337 data_time: 0.0021 memory: 661 2022/08/26 20:02:45 - mmengine - INFO - Epoch(val) [440][70/500] eta: 0:00:16 time: 0.0395 data_time: 0.0020 memory: 661 2022/08/26 20:02:46 - mmengine - INFO - Epoch(val) [440][75/500] eta: 0:00:16 time: 0.0323 data_time: 0.0022 memory: 661 2022/08/26 20:02:46 - mmengine - INFO - Epoch(val) [440][80/500] eta: 0:00:09 time: 0.0236 data_time: 0.0022 memory: 661 2022/08/26 20:02:46 - mmengine - INFO - Epoch(val) [440][85/500] eta: 0:00:09 time: 0.0206 data_time: 0.0024 memory: 661 2022/08/26 20:02:46 - mmengine - INFO - Epoch(val) [440][90/500] eta: 0:00:10 time: 0.0256 data_time: 0.0024 memory: 661 2022/08/26 20:02:46 - mmengine - INFO - Epoch(val) [440][95/500] eta: 0:00:10 time: 0.0273 data_time: 0.0024 memory: 661 2022/08/26 20:02:46 - mmengine - INFO - Epoch(val) [440][100/500] eta: 0:00:09 time: 0.0234 data_time: 0.0024 memory: 661 2022/08/26 20:02:46 - mmengine - INFO - Epoch(val) [440][105/500] eta: 0:00:09 time: 0.0223 data_time: 0.0022 memory: 661 2022/08/26 20:02:46 - mmengine - INFO - Epoch(val) [440][110/500] eta: 0:00:08 time: 0.0223 data_time: 0.0023 memory: 661 2022/08/26 20:02:47 - mmengine - INFO - Epoch(val) [440][115/500] eta: 0:00:08 time: 0.0228 data_time: 0.0022 memory: 661 2022/08/26 20:02:47 - mmengine - INFO - Epoch(val) [440][120/500] eta: 0:00:08 time: 0.0233 data_time: 0.0022 memory: 661 2022/08/26 20:02:47 - mmengine - INFO - Epoch(val) [440][125/500] eta: 0:00:08 time: 0.0226 data_time: 0.0021 memory: 661 2022/08/26 20:02:47 - mmengine - INFO - Epoch(val) [440][130/500] eta: 0:00:08 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 20:02:47 - mmengine - INFO - Epoch(val) [440][135/500] eta: 0:00:08 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 20:02:47 - mmengine - INFO - Epoch(val) [440][140/500] eta: 0:00:18 time: 0.0526 data_time: 0.0319 memory: 661 2022/08/26 20:02:48 - mmengine - INFO - Epoch(val) [440][145/500] eta: 0:00:18 time: 0.0602 data_time: 0.0314 memory: 661 2022/08/26 20:02:48 - mmengine - INFO - Epoch(val) [440][150/500] eta: 0:00:12 time: 0.0354 data_time: 0.0019 memory: 661 2022/08/26 20:02:48 - mmengine - INFO - Epoch(val) [440][155/500] eta: 0:00:12 time: 0.0409 data_time: 0.0024 memory: 661 2022/08/26 20:02:48 - mmengine - INFO - Epoch(val) [440][160/500] eta: 0:00:15 time: 0.0445 data_time: 0.0023 memory: 661 2022/08/26 20:02:48 - mmengine - INFO - Epoch(val) [440][165/500] eta: 0:00:15 time: 0.0424 data_time: 0.0024 memory: 661 2022/08/26 20:02:49 - mmengine - INFO - Epoch(val) [440][170/500] eta: 0:00:14 time: 0.0426 data_time: 0.0024 memory: 661 2022/08/26 20:02:49 - mmengine - INFO - Epoch(val) [440][175/500] eta: 0:00:14 time: 0.0363 data_time: 0.0025 memory: 661 2022/08/26 20:02:49 - mmengine - INFO - Epoch(val) [440][180/500] eta: 0:00:11 time: 0.0367 data_time: 0.0024 memory: 661 2022/08/26 20:02:49 - mmengine - INFO - Epoch(val) [440][185/500] eta: 0:00:11 time: 0.0410 data_time: 0.0023 memory: 661 2022/08/26 20:02:49 - mmengine - INFO - Epoch(val) [440][190/500] eta: 0:00:11 time: 0.0356 data_time: 0.0023 memory: 661 2022/08/26 20:02:50 - mmengine - INFO - Epoch(val) [440][195/500] eta: 0:00:11 time: 0.0366 data_time: 0.0025 memory: 661 2022/08/26 20:02:50 - mmengine - INFO - Epoch(val) [440][200/500] eta: 0:00:11 time: 0.0370 data_time: 0.0024 memory: 661 2022/08/26 20:02:50 - mmengine - INFO - Epoch(val) [440][205/500] eta: 0:00:11 time: 0.0364 data_time: 0.0024 memory: 661 2022/08/26 20:02:50 - mmengine - INFO - Epoch(val) [440][210/500] eta: 0:00:09 time: 0.0317 data_time: 0.0024 memory: 661 2022/08/26 20:02:50 - mmengine - INFO - Epoch(val) [440][215/500] eta: 0:00:09 time: 0.0226 data_time: 0.0022 memory: 661 2022/08/26 20:02:50 - mmengine - INFO - Epoch(val) [440][220/500] eta: 0:00:06 time: 0.0233 data_time: 0.0021 memory: 661 2022/08/26 20:02:50 - mmengine - INFO - Epoch(val) [440][225/500] eta: 0:00:06 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 20:02:50 - mmengine - INFO - Epoch(val) [440][230/500] eta: 0:00:05 time: 0.0211 data_time: 0.0020 memory: 661 2022/08/26 20:02:51 - mmengine - INFO - Epoch(val) [440][235/500] eta: 0:00:05 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 20:02:51 - mmengine - INFO - Epoch(val) 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0:00:07 time: 0.0327 data_time: 0.0024 memory: 661 2022/08/26 20:02:52 - mmengine - INFO - Epoch(val) [440][285/500] eta: 0:00:07 time: 0.0326 data_time: 0.0025 memory: 661 2022/08/26 20:02:52 - mmengine - INFO - Epoch(val) [440][290/500] eta: 0:00:06 time: 0.0329 data_time: 0.0025 memory: 661 2022/08/26 20:02:52 - mmengine - INFO - Epoch(val) [440][295/500] eta: 0:00:06 time: 0.0344 data_time: 0.0025 memory: 661 2022/08/26 20:02:52 - mmengine - INFO - Epoch(val) [440][300/500] eta: 0:00:06 time: 0.0336 data_time: 0.0024 memory: 661 2022/08/26 20:02:53 - mmengine - INFO - Epoch(val) [440][305/500] eta: 0:00:06 time: 0.0391 data_time: 0.0027 memory: 661 2022/08/26 20:02:53 - mmengine - INFO - Epoch(val) [440][310/500] eta: 0:00:06 time: 0.0331 data_time: 0.0027 memory: 661 2022/08/26 20:02:53 - mmengine - INFO - Epoch(val) [440][315/500] eta: 0:00:06 time: 0.0312 data_time: 0.0022 memory: 661 2022/08/26 20:02:53 - mmengine - INFO - Epoch(val) [440][320/500] eta: 0:00:06 time: 0.0352 data_time: 0.0025 memory: 661 2022/08/26 20:02:53 - mmengine - INFO - Epoch(val) [440][325/500] eta: 0:00:06 time: 0.0460 data_time: 0.0033 memory: 661 2022/08/26 20:02:54 - mmengine - INFO - Epoch(val) [440][330/500] eta: 0:00:08 time: 0.0484 data_time: 0.0034 memory: 661 2022/08/26 20:02:54 - mmengine - INFO - Epoch(val) [440][335/500] eta: 0:00:08 time: 0.0718 data_time: 0.0057 memory: 661 2022/08/26 20:02:54 - mmengine - INFO - Epoch(val) [440][340/500] eta: 0:00:12 time: 0.0762 data_time: 0.0059 memory: 661 2022/08/26 20:02:54 - mmengine - INFO - Epoch(val) [440][345/500] eta: 0:00:12 time: 0.0372 data_time: 0.0027 memory: 661 2022/08/26 20:02:55 - mmengine - INFO - Epoch(val) [440][350/500] eta: 0:00:06 time: 0.0440 data_time: 0.0162 memory: 661 2022/08/26 20:02:55 - mmengine - INFO - Epoch(val) [440][355/500] eta: 0:00:06 time: 0.0434 data_time: 0.0158 memory: 661 2022/08/26 20:02:55 - mmengine - INFO - Epoch(val) [440][360/500] eta: 0:00:03 time: 0.0218 data_time: 0.0016 memory: 661 2022/08/26 20:02:55 - mmengine - INFO - Epoch(val) [440][365/500] eta: 0:00:03 time: 0.0230 data_time: 0.0021 memory: 661 2022/08/26 20:02:55 - mmengine - INFO - Epoch(val) [440][370/500] eta: 0:00:02 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 20:02:55 - mmengine - INFO - Epoch(val) [440][375/500] eta: 0:00:02 time: 0.0205 data_time: 0.0021 memory: 661 2022/08/26 20:02:55 - mmengine - INFO - Epoch(val) [440][380/500] eta: 0:00:02 time: 0.0223 data_time: 0.0019 memory: 661 2022/08/26 20:02:56 - mmengine - INFO - Epoch(val) [440][385/500] eta: 0:00:02 time: 0.0224 data_time: 0.0019 memory: 661 2022/08/26 20:02:56 - mmengine - INFO - Epoch(val) [440][390/500] eta: 0:00:02 time: 0.0210 data_time: 0.0019 memory: 661 2022/08/26 20:02:56 - mmengine - INFO - Epoch(val) [440][395/500] eta: 0:00:02 time: 0.0214 data_time: 0.0022 memory: 661 2022/08/26 20:02:56 - mmengine - INFO - Epoch(val) [440][400/500] eta: 0:00:06 time: 0.0644 data_time: 0.0055 memory: 661 2022/08/26 20:02:56 - mmengine - INFO - Epoch(val) [440][405/500] eta: 0:00:06 time: 0.0689 data_time: 0.0066 memory: 661 2022/08/26 20:02:57 - mmengine - INFO - Epoch(val) [440][410/500] eta: 0:00:03 time: 0.0342 data_time: 0.0035 memory: 661 2022/08/26 20:02:57 - mmengine - INFO - Epoch(val) [440][415/500] eta: 0:00:03 time: 0.0306 data_time: 0.0021 memory: 661 2022/08/26 20:02:57 - mmengine - INFO - Epoch(val) [440][420/500] eta: 0:00:01 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 20:02:57 - mmengine - INFO - Epoch(val) [440][425/500] eta: 0:00:01 time: 0.0283 data_time: 0.0023 memory: 661 2022/08/26 20:02:57 - mmengine - INFO - Epoch(val) [440][430/500] eta: 0:00:02 time: 0.0325 data_time: 0.0024 memory: 661 2022/08/26 20:02:57 - mmengine - INFO - Epoch(val) [440][435/500] eta: 0:00:02 time: 0.0355 data_time: 0.0025 memory: 661 2022/08/26 20:02:58 - mmengine - INFO - Epoch(val) [440][440/500] eta: 0:00:01 time: 0.0324 data_time: 0.0025 memory: 661 2022/08/26 20:02:58 - mmengine - INFO - Epoch(val) [440][445/500] eta: 0:00:01 time: 0.0289 data_time: 0.0021 memory: 661 2022/08/26 20:02:58 - mmengine - INFO - Epoch(val) [440][450/500] eta: 0:00:01 time: 0.0376 data_time: 0.0021 memory: 661 2022/08/26 20:02:58 - mmengine - INFO - Epoch(val) [440][455/500] eta: 0:00:01 time: 0.0407 data_time: 0.0021 memory: 661 2022/08/26 20:02:58 - mmengine - INFO - Epoch(val) [440][460/500] eta: 0:00:01 time: 0.0421 data_time: 0.0026 memory: 661 2022/08/26 20:02:58 - mmengine - INFO - Epoch(val) [440][465/500] eta: 0:00:01 time: 0.0326 data_time: 0.0026 memory: 661 2022/08/26 20:02:59 - mmengine - INFO - Epoch(val) [440][470/500] eta: 0:00:00 time: 0.0323 data_time: 0.0024 memory: 661 2022/08/26 20:02:59 - mmengine - INFO - Epoch(val) [440][475/500] eta: 0:00:00 time: 0.0311 data_time: 0.0023 memory: 661 2022/08/26 20:02:59 - mmengine - INFO - Epoch(val) [440][480/500] eta: 0:00:00 time: 0.0322 data_time: 0.0022 memory: 661 2022/08/26 20:02:59 - mmengine - INFO - Epoch(val) [440][485/500] eta: 0:00:00 time: 0.0326 data_time: 0.0022 memory: 661 2022/08/26 20:02:59 - mmengine - INFO - Epoch(val) [440][490/500] eta: 0:00:00 time: 0.0305 data_time: 0.0022 memory: 661 2022/08/26 20:02:59 - mmengine - INFO - Epoch(val) [440][495/500] eta: 0:00:00 time: 0.0372 data_time: 0.0023 memory: 661 2022/08/26 20:03:00 - mmengine - INFO - Epoch(val) [440][500/500] eta: 0:00:00 time: 0.0350 data_time: 0.0024 memory: 661 2022/08/26 20:03:00 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7419, precision: 0.7744, hmean: 0.7578 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7419, precision: 0.7744, hmean: 0.7578 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7419, precision: 0.7744, hmean: 0.7578 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7419, precision: 0.7744, hmean: 0.7578 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7419, precision: 0.7744, hmean: 0.7578 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7419, precision: 0.7744, hmean: 0.7578 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7419, precision: 0.7779, hmean: 0.7595 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7415, precision: 0.7873, hmean: 0.7637 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7386, precision: 0.7973, hmean: 0.7668 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7357, precision: 0.8089, hmean: 0.7705 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7323, precision: 0.8244, hmean: 0.7756 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7222, precision: 0.8446, hmean: 0.7786 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6885, precision: 0.8778, hmean: 0.7717 2022/08/26 20:03:00 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3731, precision: 0.9118, hmean: 0.5296 2022/08/26 20:03:00 - mmengine - INFO - Epoch(val) [440][500/500] icdar/precision: 0.8446 icdar/recall: 0.7222 icdar/hmean: 0.7786 2022/08/26 20:03:17 - mmengine - INFO - Epoch(train) [441][5/16] lr: 3.0309e-04 eta: 0:00:00 time: 2.8949 data_time: 0.4868 memory: 63381 loss_text: 0.1944 loss_kernel: 0.1046 loss_embedding: 0.0083 loss: 0.3073 2022/08/26 20:03:30 - mmengine - INFO - Epoch(train) [441][10/16] lr: 3.0309e-04 eta: 1:15:37 time: 3.0556 data_time: 0.5474 memory: 63381 loss_text: 0.1847 loss_kernel: 0.1021 loss_embedding: 0.0084 loss: 0.2952 2022/08/26 20:03:45 - mmengine - INFO - Epoch(train) [441][15/16] lr: 3.0309e-04 eta: 1:15:37 time: 2.8093 data_time: 0.1204 memory: 63381 loss_text: 0.1738 loss_kernel: 0.0977 loss_embedding: 0.0094 loss: 0.2809 2022/08/26 20:03:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:04:04 - mmengine - INFO - Epoch(train) [442][5/16] lr: 3.0138e-04 eta: 1:15:37 time: 3.0956 data_time: 0.5698 memory: 63381 loss_text: 0.1889 loss_kernel: 0.1035 loss_embedding: 0.0088 loss: 0.3012 2022/08/26 20:04:17 - mmengine - INFO - Epoch(train) [442][10/16] lr: 3.0138e-04 eta: 1:15:09 time: 3.0298 data_time: 0.5979 memory: 63381 loss_text: 0.1832 loss_kernel: 0.1006 loss_embedding: 0.0077 loss: 0.2916 2022/08/26 20:04:29 - mmengine - INFO - Epoch(train) [442][15/16] lr: 3.0138e-04 eta: 1:15:09 time: 2.4798 data_time: 0.0948 memory: 63381 loss_text: 0.1915 loss_kernel: 0.1038 loss_embedding: 0.0068 loss: 0.3022 2022/08/26 20:04:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:04:48 - mmengine - INFO - Epoch(train) [443][5/16] lr: 2.9966e-04 eta: 1:15:09 time: 2.9042 data_time: 0.5199 memory: 63381 loss_text: 0.1955 loss_kernel: 0.1063 loss_embedding: 0.0080 loss: 0.3098 2022/08/26 20:05:02 - mmengine - INFO - Epoch(train) [443][10/16] lr: 2.9966e-04 eta: 1:14:41 time: 3.1255 data_time: 0.5966 memory: 63381 loss_text: 0.2035 loss_kernel: 0.1111 loss_embedding: 0.0086 loss: 0.3232 2022/08/26 20:05:14 - mmengine - INFO - Epoch(train) [443][15/16] lr: 2.9966e-04 eta: 1:14:41 time: 2.5266 data_time: 0.1262 memory: 63381 loss_text: 0.2059 loss_kernel: 0.1116 loss_embedding: 0.0081 loss: 0.3256 2022/08/26 20:05:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:05:34 - mmengine - INFO - Epoch(train) [444][5/16] lr: 2.9794e-04 eta: 1:14:41 time: 2.9278 data_time: 0.6169 memory: 63381 loss_text: 0.1848 loss_kernel: 0.1014 loss_embedding: 0.0076 loss: 0.2938 2022/08/26 20:05:46 - mmengine - INFO - Epoch(train) [444][10/16] lr: 2.9794e-04 eta: 1:14:14 time: 3.0881 data_time: 0.6571 memory: 63381 loss_text: 0.1814 loss_kernel: 0.0985 loss_embedding: 0.0081 loss: 0.2880 2022/08/26 20:05:59 - mmengine - INFO - Epoch(train) [444][15/16] lr: 2.9794e-04 eta: 1:14:14 time: 2.4985 data_time: 0.0846 memory: 63381 loss_text: 0.1941 loss_kernel: 0.1050 loss_embedding: 0.0078 loss: 0.3069 2022/08/26 20:06:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:06:18 - mmengine - INFO - Epoch(train) [445][5/16] lr: 2.9622e-04 eta: 1:14:14 time: 2.9216 data_time: 0.5617 memory: 63381 loss_text: 0.1930 loss_kernel: 0.1055 loss_embedding: 0.0063 loss: 0.3047 2022/08/26 20:06:30 - mmengine - INFO - Epoch(train) [445][10/16] lr: 2.9622e-04 eta: 1:13:46 time: 2.9922 data_time: 0.6007 memory: 63381 loss_text: 0.1800 loss_kernel: 0.0987 loss_embedding: 0.0079 loss: 0.2866 2022/08/26 20:06:43 - mmengine - INFO - Epoch(train) [445][15/16] lr: 2.9622e-04 eta: 1:13:46 time: 2.5146 data_time: 0.0867 memory: 63381 loss_text: 0.1830 loss_kernel: 0.1009 loss_embedding: 0.0075 loss: 0.2914 2022/08/26 20:06:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:07:02 - mmengine - INFO - Epoch(train) [446][5/16] lr: 2.9450e-04 eta: 1:13:46 time: 2.9041 data_time: 0.5157 memory: 63381 loss_text: 0.1849 loss_kernel: 0.1002 loss_embedding: 0.0080 loss: 0.2932 2022/08/26 20:07:16 - mmengine - INFO - Epoch(train) [446][10/16] lr: 2.9450e-04 eta: 1:13:18 time: 3.1567 data_time: 0.5555 memory: 63381 loss_text: 0.1955 loss_kernel: 0.1057 loss_embedding: 0.0091 loss: 0.3102 2022/08/26 20:07:29 - mmengine - INFO - Epoch(train) [446][15/16] lr: 2.9450e-04 eta: 1:13:18 time: 2.7370 data_time: 0.0873 memory: 63381 loss_text: 0.2139 loss_kernel: 0.1157 loss_embedding: 0.0083 loss: 0.3380 2022/08/26 20:07:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:07:50 - mmengine - INFO - Epoch(train) [447][5/16] lr: 2.9278e-04 eta: 1:13:18 time: 3.0501 data_time: 0.6913 memory: 63381 loss_text: 0.1898 loss_kernel: 0.1049 loss_embedding: 0.0069 loss: 0.3017 2022/08/26 20:08:02 - mmengine - INFO - Epoch(train) [447][10/16] lr: 2.9278e-04 eta: 1:12:51 time: 3.1022 data_time: 0.7321 memory: 63381 loss_text: 0.1800 loss_kernel: 0.0982 loss_embedding: 0.0081 loss: 0.2863 2022/08/26 20:08:14 - mmengine - INFO - Epoch(train) [447][15/16] lr: 2.9278e-04 eta: 1:12:51 time: 2.4117 data_time: 0.0835 memory: 63381 loss_text: 0.2118 loss_kernel: 0.1123 loss_embedding: 0.0087 loss: 0.3328 2022/08/26 20:08:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:08:34 - mmengine - INFO - Epoch(train) [448][5/16] lr: 2.9106e-04 eta: 1:12:51 time: 2.9423 data_time: 0.5502 memory: 63381 loss_text: 0.1963 loss_kernel: 0.1069 loss_embedding: 0.0089 loss: 0.3121 2022/08/26 20:08:47 - mmengine - INFO - Epoch(train) [448][10/16] lr: 2.9106e-04 eta: 1:12:23 time: 3.1329 data_time: 0.6305 memory: 63381 loss_text: 0.1720 loss_kernel: 0.0950 loss_embedding: 0.0076 loss: 0.2745 2022/08/26 20:08:59 - mmengine - INFO - Epoch(train) [448][15/16] lr: 2.9106e-04 eta: 1:12:23 time: 2.5698 data_time: 0.1276 memory: 63381 loss_text: 0.1830 loss_kernel: 0.1013 loss_embedding: 0.0064 loss: 0.2907 2022/08/26 20:09:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:09:18 - mmengine - INFO - Epoch(train) [449][5/16] lr: 2.8933e-04 eta: 1:12:23 time: 2.8643 data_time: 0.4938 memory: 63381 loss_text: 0.1811 loss_kernel: 0.0979 loss_embedding: 0.0069 loss: 0.2859 2022/08/26 20:09:32 - mmengine - INFO - Epoch(train) [449][10/16] lr: 2.8933e-04 eta: 1:11:55 time: 3.0700 data_time: 0.5688 memory: 63381 loss_text: 0.1790 loss_kernel: 0.0951 loss_embedding: 0.0081 loss: 0.2822 2022/08/26 20:09:44 - mmengine - INFO - Epoch(train) [449][15/16] lr: 2.8933e-04 eta: 1:11:55 time: 2.5760 data_time: 0.1312 memory: 63381 loss_text: 0.1809 loss_kernel: 0.0978 loss_embedding: 0.0075 loss: 0.2861 2022/08/26 20:09:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:10:03 - mmengine - INFO - Epoch(train) [450][5/16] lr: 2.8761e-04 eta: 1:11:55 time: 2.8349 data_time: 0.5377 memory: 63381 loss_text: 0.1772 loss_kernel: 0.0972 loss_embedding: 0.0077 loss: 0.2821 2022/08/26 20:10:16 - mmengine - INFO - Epoch(train) [450][10/16] lr: 2.8761e-04 eta: 1:11:27 time: 2.9866 data_time: 0.5979 memory: 63381 loss_text: 0.1763 loss_kernel: 0.0975 loss_embedding: 0.0072 loss: 0.2811 2022/08/26 20:10:27 - mmengine - INFO - Epoch(train) [450][15/16] lr: 2.8761e-04 eta: 1:11:27 time: 2.4541 data_time: 0.1221 memory: 63381 loss_text: 0.1990 loss_kernel: 0.1070 loss_embedding: 0.0065 loss: 0.3124 2022/08/26 20:10:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:10:50 - mmengine - INFO - Epoch(train) [451][5/16] lr: 2.8588e-04 eta: 1:11:27 time: 3.1595 data_time: 0.8688 memory: 63381 loss_text: 0.1864 loss_kernel: 0.1003 loss_embedding: 0.0068 loss: 0.2935 2022/08/26 20:11:02 - mmengine - INFO - Epoch(train) [451][10/16] lr: 2.8588e-04 eta: 1:11:00 time: 3.3005 data_time: 0.9257 memory: 63381 loss_text: 0.2069 loss_kernel: 0.1112 loss_embedding: 0.0073 loss: 0.3254 2022/08/26 20:11:14 - mmengine - INFO - Epoch(train) [451][15/16] lr: 2.8588e-04 eta: 1:11:00 time: 2.4064 data_time: 0.1073 memory: 63381 loss_text: 0.2204 loss_kernel: 0.1171 loss_embedding: 0.0076 loss: 0.3451 2022/08/26 20:11:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:11:32 - mmengine - INFO - Epoch(train) [452][5/16] lr: 2.8415e-04 eta: 1:11:00 time: 2.7183 data_time: 0.4851 memory: 63381 loss_text: 0.1879 loss_kernel: 0.1020 loss_embedding: 0.0078 loss: 0.2977 2022/08/26 20:11:44 - mmengine - INFO - Epoch(train) [452][10/16] lr: 2.8415e-04 eta: 1:10:32 time: 2.8353 data_time: 0.5624 memory: 63381 loss_text: 0.1701 loss_kernel: 0.0932 loss_embedding: 0.0077 loss: 0.2710 2022/08/26 20:11:58 - mmengine - INFO - Epoch(train) [452][15/16] lr: 2.8415e-04 eta: 1:10:32 time: 2.6575 data_time: 0.1390 memory: 63381 loss_text: 0.1781 loss_kernel: 0.0980 loss_embedding: 0.0085 loss: 0.2845 2022/08/26 20:12:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:12:18 - mmengine - INFO - Epoch(train) [453][5/16] lr: 2.8242e-04 eta: 1:10:32 time: 3.1233 data_time: 0.5947 memory: 63381 loss_text: 0.2006 loss_kernel: 0.1090 loss_embedding: 0.0073 loss: 0.3168 2022/08/26 20:12:31 - mmengine - INFO - Epoch(train) [453][10/16] lr: 2.8242e-04 eta: 1:10:04 time: 3.0581 data_time: 0.6122 memory: 63381 loss_text: 0.1920 loss_kernel: 0.1046 loss_embedding: 0.0072 loss: 0.3038 2022/08/26 20:12:43 - mmengine - INFO - Epoch(train) [453][15/16] lr: 2.8242e-04 eta: 1:10:04 time: 2.4064 data_time: 0.0879 memory: 63381 loss_text: 0.1936 loss_kernel: 0.1057 loss_embedding: 0.0067 loss: 0.3060 2022/08/26 20:12:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:13:02 - mmengine - INFO - Epoch(train) [454][5/16] lr: 2.8069e-04 eta: 1:10:04 time: 2.9221 data_time: 0.5465 memory: 63381 loss_text: 0.1804 loss_kernel: 0.0994 loss_embedding: 0.0079 loss: 0.2877 2022/08/26 20:13:15 - mmengine - INFO - Epoch(train) [454][10/16] lr: 2.8069e-04 eta: 1:09:36 time: 3.1172 data_time: 0.6185 memory: 63381 loss_text: 0.1776 loss_kernel: 0.0980 loss_embedding: 0.0077 loss: 0.2832 2022/08/26 20:13:27 - mmengine - INFO - Epoch(train) [454][15/16] lr: 2.8069e-04 eta: 1:09:36 time: 2.5190 data_time: 0.1200 memory: 63381 loss_text: 0.1804 loss_kernel: 0.1006 loss_embedding: 0.0076 loss: 0.2886 2022/08/26 20:13:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:13:46 - mmengine - INFO - Epoch(train) [455][5/16] lr: 2.7896e-04 eta: 1:09:36 time: 2.8412 data_time: 0.5277 memory: 63381 loss_text: 0.1704 loss_kernel: 0.0963 loss_embedding: 0.0084 loss: 0.2751 2022/08/26 20:13:59 - mmengine - INFO - Epoch(train) [455][10/16] lr: 2.7896e-04 eta: 1:09:08 time: 2.9840 data_time: 0.5641 memory: 63381 loss_text: 0.1867 loss_kernel: 0.1029 loss_embedding: 0.0072 loss: 0.2968 2022/08/26 20:14:14 - mmengine - INFO - Epoch(train) [455][15/16] lr: 2.7896e-04 eta: 1:09:08 time: 2.7866 data_time: 0.0946 memory: 63381 loss_text: 0.1991 loss_kernel: 0.1090 loss_embedding: 0.0078 loss: 0.3159 2022/08/26 20:14:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:14:33 - mmengine - INFO - Epoch(train) [456][5/16] lr: 2.7723e-04 eta: 1:09:08 time: 3.1781 data_time: 0.5485 memory: 63381 loss_text: 0.2016 loss_kernel: 0.1113 loss_embedding: 0.0079 loss: 0.3208 2022/08/26 20:14:45 - mmengine - INFO - Epoch(train) [456][10/16] lr: 2.7723e-04 eta: 1:08:40 time: 2.9340 data_time: 0.5480 memory: 63381 loss_text: 0.1999 loss_kernel: 0.1097 loss_embedding: 0.0074 loss: 0.3169 2022/08/26 20:14:58 - mmengine - INFO - Epoch(train) [456][15/16] lr: 2.7723e-04 eta: 1:08:40 time: 2.4974 data_time: 0.0877 memory: 63381 loss_text: 0.1967 loss_kernel: 0.1072 loss_embedding: 0.0085 loss: 0.3124 2022/08/26 20:15:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:15:17 - mmengine - INFO - Epoch(train) [457][5/16] lr: 2.7550e-04 eta: 1:08:40 time: 2.8948 data_time: 0.5596 memory: 63381 loss_text: 0.1926 loss_kernel: 0.1043 loss_embedding: 0.0079 loss: 0.3049 2022/08/26 20:15:33 - mmengine - INFO - Epoch(train) [457][10/16] lr: 2.7550e-04 eta: 1:08:13 time: 3.2827 data_time: 0.5805 memory: 63381 loss_text: 0.2020 loss_kernel: 0.1093 loss_embedding: 0.0071 loss: 0.3184 2022/08/26 20:15:44 - mmengine - INFO - Epoch(train) [457][15/16] lr: 2.7550e-04 eta: 1:08:13 time: 2.7741 data_time: 0.1006 memory: 63381 loss_text: 0.1917 loss_kernel: 0.1052 loss_embedding: 0.0077 loss: 0.3046 2022/08/26 20:15:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:16:03 - mmengine - INFO - Epoch(train) [458][5/16] lr: 2.7376e-04 eta: 1:08:13 time: 2.8078 data_time: 0.5377 memory: 63381 loss_text: 0.1869 loss_kernel: 0.1021 loss_embedding: 0.0077 loss: 0.2967 2022/08/26 20:16:16 - mmengine - INFO - Epoch(train) [458][10/16] lr: 2.7376e-04 eta: 1:07:45 time: 3.0191 data_time: 0.5769 memory: 63381 loss_text: 0.1941 loss_kernel: 0.1046 loss_embedding: 0.0085 loss: 0.3073 2022/08/26 20:16:28 - mmengine - INFO - Epoch(train) [458][15/16] lr: 2.7376e-04 eta: 1:07:45 time: 2.5083 data_time: 0.0933 memory: 63381 loss_text: 0.1831 loss_kernel: 0.1001 loss_embedding: 0.0082 loss: 0.2914 2022/08/26 20:16:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:16:49 - mmengine - INFO - Epoch(train) [459][5/16] lr: 2.7203e-04 eta: 1:07:45 time: 3.0418 data_time: 0.6709 memory: 63381 loss_text: 0.1552 loss_kernel: 0.0879 loss_embedding: 0.0086 loss: 0.2518 2022/08/26 20:17:02 - mmengine - INFO - Epoch(train) [459][10/16] lr: 2.7203e-04 eta: 1:07:17 time: 3.1914 data_time: 0.7086 memory: 63381 loss_text: 0.1732 loss_kernel: 0.0962 loss_embedding: 0.0085 loss: 0.2779 2022/08/26 20:17:15 - mmengine - INFO - Epoch(train) [459][15/16] lr: 2.7203e-04 eta: 1:07:17 time: 2.5343 data_time: 0.0871 memory: 63381 loss_text: 0.2161 loss_kernel: 0.1161 loss_embedding: 0.0073 loss: 0.3395 2022/08/26 20:17:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:17:32 - mmengine - INFO - Epoch(train) [460][5/16] lr: 2.7029e-04 eta: 1:07:17 time: 2.7581 data_time: 0.4994 memory: 63381 loss_text: 0.2140 loss_kernel: 0.1153 loss_embedding: 0.0069 loss: 0.3362 2022/08/26 20:17:45 - mmengine - INFO - Epoch(train) [460][10/16] lr: 2.7029e-04 eta: 1:06:49 time: 2.8828 data_time: 0.5690 memory: 63381 loss_text: 0.1871 loss_kernel: 0.1040 loss_embedding: 0.0075 loss: 0.2986 2022/08/26 20:18:00 - mmengine - INFO - Epoch(train) [460][15/16] lr: 2.7029e-04 eta: 1:06:49 time: 2.7294 data_time: 0.1359 memory: 63381 loss_text: 0.1718 loss_kernel: 0.0979 loss_embedding: 0.0085 loss: 0.2782 2022/08/26 20:18:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:18:01 - mmengine - INFO - Saving checkpoint at 460 epochs 2022/08/26 20:18:05 - mmengine - INFO - Epoch(val) [460][5/500] eta: 1:06:49 time: 0.0707 data_time: 0.0167 memory: 39748 2022/08/26 20:18:05 - mmengine - INFO - Epoch(val) [460][10/500] eta: 0:00:32 time: 0.0656 data_time: 0.0163 memory: 661 2022/08/26 20:18:05 - mmengine - INFO - Epoch(val) [460][15/500] eta: 0:00:32 time: 0.0316 data_time: 0.0021 memory: 661 2022/08/26 20:18:05 - mmengine - INFO - Epoch(val) [460][20/500] eta: 0:00:15 time: 0.0332 data_time: 0.0024 memory: 661 2022/08/26 20:18:05 - mmengine - INFO - Epoch(val) [460][25/500] eta: 0:00:15 time: 0.0311 data_time: 0.0023 memory: 661 2022/08/26 20:18:06 - mmengine - INFO - Epoch(val) [460][30/500] eta: 0:00:16 time: 0.0347 data_time: 0.0023 memory: 661 2022/08/26 20:18:06 - mmengine - INFO - Epoch(val) [460][35/500] eta: 0:00:16 time: 0.0337 data_time: 0.0024 memory: 661 2022/08/26 20:18:06 - mmengine - INFO - Epoch(val) [460][40/500] eta: 0:00:15 time: 0.0345 data_time: 0.0023 memory: 661 2022/08/26 20:18:06 - mmengine - INFO - Epoch(val) [460][45/500] eta: 0:00:15 time: 0.0404 data_time: 0.0022 memory: 661 2022/08/26 20:18:06 - mmengine - INFO - Epoch(val) [460][50/500] eta: 0:00:16 time: 0.0370 data_time: 0.0023 memory: 661 2022/08/26 20:18:06 - mmengine - INFO - Epoch(val) [460][55/500] eta: 0:00:16 time: 0.0333 data_time: 0.0024 memory: 661 2022/08/26 20:18:07 - mmengine - INFO - Epoch(val) [460][60/500] eta: 0:00:13 time: 0.0307 data_time: 0.0022 memory: 661 2022/08/26 20:18:07 - mmengine - INFO - Epoch(val) [460][65/500] eta: 0:00:13 time: 0.0347 data_time: 0.0024 memory: 661 2022/08/26 20:18:07 - mmengine - INFO - Epoch(val) [460][70/500] eta: 0:00:17 time: 0.0409 data_time: 0.0024 memory: 661 2022/08/26 20:18:07 - mmengine - INFO - Epoch(val) [460][75/500] eta: 0:00:17 time: 0.0320 data_time: 0.0019 memory: 661 2022/08/26 20:18:07 - mmengine - INFO - Epoch(val) [460][80/500] eta: 0:00:09 time: 0.0221 data_time: 0.0017 memory: 661 2022/08/26 20:18:07 - mmengine - INFO - Epoch(val) [460][85/500] eta: 0:00:09 time: 0.0307 data_time: 0.0020 memory: 661 2022/08/26 20:18:08 - mmengine - INFO - Epoch(val) [460][90/500] eta: 0:00:14 time: 0.0346 data_time: 0.0021 memory: 661 2022/08/26 20:18:08 - mmengine - INFO - Epoch(val) [460][95/500] eta: 0:00:14 time: 0.0242 data_time: 0.0018 memory: 661 2022/08/26 20:18:08 - mmengine - INFO - Epoch(val) [460][100/500] eta: 0:00:08 time: 0.0212 data_time: 0.0018 memory: 661 2022/08/26 20:18:08 - mmengine - INFO - Epoch(val) [460][105/500] eta: 0:00:08 time: 0.0209 data_time: 0.0017 memory: 661 2022/08/26 20:18:08 - mmengine - INFO - Epoch(val) [460][110/500] eta: 0:00:08 time: 0.0207 data_time: 0.0018 memory: 661 2022/08/26 20:18:08 - mmengine - INFO - Epoch(val) [460][115/500] eta: 0:00:08 time: 0.0219 data_time: 0.0018 memory: 661 2022/08/26 20:18:08 - mmengine - INFO - Epoch(val) [460][120/500] eta: 0:00:08 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 20:18:08 - mmengine - INFO - Epoch(val) [460][125/500] eta: 0:00:08 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 20:18:08 - mmengine - INFO - Epoch(val) [460][130/500] eta: 0:00:08 time: 0.0217 data_time: 0.0018 memory: 661 2022/08/26 20:18:09 - mmengine - INFO - Epoch(val) [460][135/500] eta: 0:00:08 time: 0.0211 data_time: 0.0023 memory: 661 2022/08/26 20:18:09 - mmengine - INFO - Epoch(val) [460][140/500] eta: 0:00:07 time: 0.0214 data_time: 0.0023 memory: 661 2022/08/26 20:18:09 - mmengine - INFO - Epoch(val) [460][145/500] eta: 0:00:07 time: 0.0214 data_time: 0.0018 memory: 661 2022/08/26 20:18:09 - mmengine - INFO - Epoch(val) [460][150/500] eta: 0:00:07 time: 0.0223 data_time: 0.0018 memory: 661 2022/08/26 20:18:09 - mmengine - INFO - Epoch(val) [460][155/500] eta: 0:00:07 time: 0.0256 data_time: 0.0019 memory: 661 2022/08/26 20:18:09 - mmengine - INFO - Epoch(val) [460][160/500] eta: 0:00:08 time: 0.0252 data_time: 0.0019 memory: 661 2022/08/26 20:18:09 - mmengine - INFO - Epoch(val) [460][165/500] eta: 0:00:08 time: 0.0231 data_time: 0.0019 memory: 661 2022/08/26 20:18:09 - mmengine - INFO - Epoch(val) [460][170/500] eta: 0:00:07 time: 0.0232 data_time: 0.0019 memory: 661 2022/08/26 20:18:09 - mmengine - INFO - Epoch(val) [460][175/500] eta: 0:00:07 time: 0.0209 data_time: 0.0019 memory: 661 2022/08/26 20:18:10 - mmengine - INFO - Epoch(val) [460][180/500] eta: 0:00:10 time: 0.0318 data_time: 0.0021 memory: 661 2022/08/26 20:18:10 - mmengine - INFO - Epoch(val) [460][185/500] eta: 0:00:10 time: 0.0345 data_time: 0.0021 memory: 661 2022/08/26 20:18:10 - mmengine - INFO - Epoch(val) [460][190/500] eta: 0:00:08 time: 0.0265 data_time: 0.0020 memory: 661 2022/08/26 20:18:10 - mmengine - INFO - Epoch(val) [460][195/500] eta: 0:00:08 time: 0.0330 data_time: 0.0023 memory: 661 2022/08/26 20:18:10 - mmengine - INFO - Epoch(val) [460][200/500] eta: 0:00:12 time: 0.0400 data_time: 0.0023 memory: 661 2022/08/26 20:18:10 - mmengine - INFO - Epoch(val) [460][205/500] eta: 0:00:12 time: 0.0344 data_time: 0.0021 memory: 661 2022/08/26 20:18:11 - mmengine - INFO - Epoch(val) [460][210/500] eta: 0:00:10 time: 0.0352 data_time: 0.0021 memory: 661 2022/08/26 20:18:11 - mmengine - INFO - Epoch(val) [460][215/500] eta: 0:00:10 time: 0.0340 data_time: 0.0029 memory: 661 2022/08/26 20:18:11 - mmengine - INFO - Epoch(val) [460][220/500] eta: 0:00:09 time: 0.0336 data_time: 0.0029 memory: 661 2022/08/26 20:18:11 - mmengine - INFO - Epoch(val) [460][225/500] eta: 0:00:09 time: 0.0338 data_time: 0.0020 memory: 661 2022/08/26 20:18:11 - mmengine - INFO - Epoch(val) [460][230/500] eta: 0:00:08 time: 0.0320 data_time: 0.0022 memory: 661 2022/08/26 20:18:12 - mmengine - INFO - Epoch(val) [460][235/500] eta: 0:00:08 time: 0.0428 data_time: 0.0025 memory: 661 2022/08/26 20:18:12 - mmengine - INFO - Epoch(val) [460][240/500] eta: 0:00:10 time: 0.0394 data_time: 0.0024 memory: 661 2022/08/26 20:18:12 - mmengine - INFO - Epoch(val) [460][245/500] eta: 0:00:10 time: 0.0327 data_time: 0.0024 memory: 661 2022/08/26 20:18:12 - mmengine - INFO - Epoch(val) [460][250/500] eta: 0:00:09 time: 0.0380 data_time: 0.0023 memory: 661 2022/08/26 20:18:12 - mmengine - INFO - Epoch(val) [460][255/500] eta: 0:00:09 time: 0.0319 data_time: 0.0018 memory: 661 2022/08/26 20:18:12 - mmengine - INFO - Epoch(val) [460][260/500] eta: 0:00:07 time: 0.0311 data_time: 0.0021 memory: 661 2022/08/26 20:18:13 - mmengine - INFO - Epoch(val) [460][265/500] eta: 0:00:07 time: 0.0322 data_time: 0.0023 memory: 661 2022/08/26 20:18:13 - mmengine - INFO - Epoch(val) [460][270/500] eta: 0:00:05 time: 0.0230 data_time: 0.0019 memory: 661 2022/08/26 20:18:13 - mmengine - INFO - Epoch(val) 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0:00:04 time: 0.0230 data_time: 0.0019 memory: 661 2022/08/26 20:18:14 - mmengine - INFO - Epoch(val) [460][320/500] eta: 0:00:05 time: 0.0303 data_time: 0.0020 memory: 661 2022/08/26 20:18:14 - mmengine - INFO - Epoch(val) [460][325/500] eta: 0:00:05 time: 0.0448 data_time: 0.0023 memory: 661 2022/08/26 20:18:14 - mmengine - INFO - Epoch(val) [460][330/500] eta: 0:00:07 time: 0.0442 data_time: 0.0025 memory: 661 2022/08/26 20:18:15 - mmengine - INFO - Epoch(val) [460][335/500] eta: 0:00:07 time: 0.0377 data_time: 0.0025 memory: 661 2022/08/26 20:18:15 - mmengine - INFO - Epoch(val) [460][340/500] eta: 0:00:06 time: 0.0410 data_time: 0.0024 memory: 661 2022/08/26 20:18:15 - mmengine - INFO - Epoch(val) [460][345/500] eta: 0:00:06 time: 0.0413 data_time: 0.0026 memory: 661 2022/08/26 20:18:15 - mmengine - INFO - Epoch(val) [460][350/500] eta: 0:00:05 time: 0.0376 data_time: 0.0025 memory: 661 2022/08/26 20:18:15 - mmengine - INFO - Epoch(val) [460][355/500] eta: 0:00:05 time: 0.0376 data_time: 0.0023 memory: 661 2022/08/26 20:18:16 - mmengine - INFO - Epoch(val) [460][360/500] eta: 0:00:06 time: 0.0448 data_time: 0.0029 memory: 661 2022/08/26 20:18:16 - mmengine - INFO - Epoch(val) [460][365/500] eta: 0:00:06 time: 0.0593 data_time: 0.0170 memory: 661 2022/08/26 20:18:16 - mmengine - INFO - Epoch(val) [460][370/500] eta: 0:00:06 time: 0.0477 data_time: 0.0161 memory: 661 2022/08/26 20:18:16 - mmengine - INFO - Epoch(val) [460][375/500] eta: 0:00:06 time: 0.0318 data_time: 0.0023 memory: 661 2022/08/26 20:18:17 - mmengine - INFO - Epoch(val) [460][380/500] eta: 0:00:05 time: 0.0472 data_time: 0.0044 memory: 661 2022/08/26 20:18:17 - mmengine - INFO - Epoch(val) [460][385/500] eta: 0:00:05 time: 0.0385 data_time: 0.0041 memory: 661 2022/08/26 20:18:17 - mmengine - INFO - Epoch(val) [460][390/500] eta: 0:00:02 time: 0.0219 data_time: 0.0022 memory: 661 2022/08/26 20:18:17 - mmengine - INFO - Epoch(val) [460][395/500] eta: 0:00:02 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 20:18:17 - mmengine - INFO - Epoch(val) [460][400/500] eta: 0:00:02 time: 0.0211 data_time: 0.0020 memory: 661 2022/08/26 20:18:17 - mmengine - INFO - Epoch(val) [460][405/500] eta: 0:00:02 time: 0.0221 data_time: 0.0021 memory: 661 2022/08/26 20:18:17 - mmengine - INFO - Epoch(val) [460][410/500] eta: 0:00:02 time: 0.0231 data_time: 0.0019 memory: 661 2022/08/26 20:18:17 - mmengine - INFO - Epoch(val) [460][415/500] eta: 0:00:02 time: 0.0234 data_time: 0.0019 memory: 661 2022/08/26 20:18:18 - mmengine - INFO - Epoch(val) [460][420/500] eta: 0:00:03 time: 0.0474 data_time: 0.0025 memory: 661 2022/08/26 20:18:18 - mmengine - INFO - Epoch(val) [460][425/500] eta: 0:00:03 time: 0.0466 data_time: 0.0025 memory: 661 2022/08/26 20:18:18 - mmengine - INFO - Epoch(val) [460][430/500] eta: 0:00:01 time: 0.0212 data_time: 0.0019 memory: 661 2022/08/26 20:18:18 - mmengine - INFO - Epoch(val) [460][435/500] eta: 0:00:01 time: 0.0201 data_time: 0.0017 memory: 661 2022/08/26 20:18:18 - mmengine - INFO - Epoch(val) [460][440/500] eta: 0:00:01 time: 0.0219 data_time: 0.0020 memory: 661 2022/08/26 20:18:18 - mmengine - INFO - Epoch(val) [460][445/500] eta: 0:00:01 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 20:18:18 - mmengine - INFO - Epoch(val) [460][450/500] eta: 0:00:01 time: 0.0243 data_time: 0.0020 memory: 661 2022/08/26 20:18:18 - mmengine - INFO - Epoch(val) [460][455/500] eta: 0:00:01 time: 0.0228 data_time: 0.0019 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Epoch(val) [460][460/500] eta: 0:00:00 time: 0.0210 data_time: 0.0019 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Epoch(val) [460][465/500] eta: 0:00:00 time: 0.0204 data_time: 0.0020 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Epoch(val) [460][470/500] eta: 0:00:00 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Epoch(val) [460][475/500] eta: 0:00:00 time: 0.0215 data_time: 0.0022 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Epoch(val) [460][480/500] eta: 0:00:00 time: 0.0222 data_time: 0.0021 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Epoch(val) [460][485/500] eta: 0:00:00 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Epoch(val) [460][490/500] eta: 0:00:00 time: 0.0239 data_time: 0.0025 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Epoch(val) [460][495/500] eta: 0:00:00 time: 0.0247 data_time: 0.0026 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Epoch(val) [460][500/500] eta: 0:00:00 time: 0.0240 data_time: 0.0020 memory: 661 2022/08/26 20:18:19 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7386, precision: 0.7775, hmean: 0.7575 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7386, precision: 0.7775, hmean: 0.7575 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7386, precision: 0.7775, hmean: 0.7575 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7386, precision: 0.7775, hmean: 0.7575 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7386, precision: 0.7775, hmean: 0.7575 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7386, precision: 0.7775, hmean: 0.7575 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7386, precision: 0.7799, hmean: 0.7587 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7381, precision: 0.7858, hmean: 0.7612 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7371, precision: 0.7949, hmean: 0.7649 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7347, precision: 0.8049, hmean: 0.7682 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7333, precision: 0.8201, hmean: 0.7743 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7246, precision: 0.8338, hmean: 0.7754 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6972, precision: 0.8599, hmean: 0.7700 2022/08/26 20:18:20 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4285, precision: 0.8972, hmean: 0.5800 2022/08/26 20:18:20 - mmengine - INFO - Epoch(val) [460][500/500] icdar/precision: 0.8338 icdar/recall: 0.7246 icdar/hmean: 0.7754 2022/08/26 20:18:36 - mmengine - INFO - Epoch(train) [461][5/16] lr: 2.6855e-04 eta: 0:00:00 time: 2.9962 data_time: 0.5290 memory: 63381 loss_text: 0.1940 loss_kernel: 0.1057 loss_embedding: 0.0082 loss: 0.3079 2022/08/26 20:18:49 - mmengine - INFO - Epoch(train) [461][10/16] lr: 2.6855e-04 eta: 1:06:20 time: 2.9276 data_time: 0.5718 memory: 63381 loss_text: 0.1917 loss_kernel: 0.1023 loss_embedding: 0.0077 loss: 0.3017 2022/08/26 20:19:00 - mmengine - INFO - Epoch(train) [461][15/16] lr: 2.6855e-04 eta: 1:06:20 time: 2.3876 data_time: 0.1123 memory: 63381 loss_text: 0.1738 loss_kernel: 0.0969 loss_embedding: 0.0077 loss: 0.2783 2022/08/26 20:19:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:19:19 - mmengine - INFO - Epoch(train) [462][5/16] lr: 2.6681e-04 eta: 1:06:20 time: 2.7433 data_time: 0.6229 memory: 63381 loss_text: 0.1815 loss_kernel: 0.1003 loss_embedding: 0.0065 loss: 0.2883 2022/08/26 20:19:30 - mmengine - INFO - Epoch(train) [462][10/16] lr: 2.6681e-04 eta: 1:05:52 time: 2.8846 data_time: 0.6640 memory: 63381 loss_text: 0.1951 loss_kernel: 0.1062 loss_embedding: 0.0064 loss: 0.3077 2022/08/26 20:19:42 - mmengine - INFO - Epoch(train) [462][15/16] lr: 2.6681e-04 eta: 1:05:52 time: 2.3133 data_time: 0.0791 memory: 63381 loss_text: 0.1884 loss_kernel: 0.1040 loss_embedding: 0.0074 loss: 0.2998 2022/08/26 20:19:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:19:59 - mmengine - INFO - Epoch(train) [463][5/16] lr: 2.6507e-04 eta: 1:05:52 time: 2.6568 data_time: 0.4718 memory: 63381 loss_text: 0.1929 loss_kernel: 0.1053 loss_embedding: 0.0081 loss: 0.3063 2022/08/26 20:20:11 - mmengine - INFO - Epoch(train) [463][10/16] lr: 2.6507e-04 eta: 1:05:23 time: 2.7347 data_time: 0.5122 memory: 63381 loss_text: 0.2010 loss_kernel: 0.1080 loss_embedding: 0.0067 loss: 0.3157 2022/08/26 20:20:22 - mmengine - INFO - Epoch(train) [463][15/16] lr: 2.6507e-04 eta: 1:05:23 time: 2.3098 data_time: 0.0825 memory: 63381 loss_text: 0.1965 loss_kernel: 0.1031 loss_embedding: 0.0072 loss: 0.3069 2022/08/26 20:20:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:20:40 - mmengine - INFO - Epoch(train) [464][5/16] lr: 2.6333e-04 eta: 1:05:23 time: 2.7269 data_time: 0.5100 memory: 63381 loss_text: 0.1987 loss_kernel: 0.1062 loss_embedding: 0.0077 loss: 0.3125 2022/08/26 20:20:51 - mmengine - INFO - Epoch(train) [464][10/16] lr: 2.6333e-04 eta: 1:04:54 time: 2.7572 data_time: 0.5461 memory: 63381 loss_text: 0.1957 loss_kernel: 0.1062 loss_embedding: 0.0070 loss: 0.3090 2022/08/26 20:21:03 - mmengine - INFO - Epoch(train) [464][15/16] lr: 2.6333e-04 eta: 1:04:54 time: 2.2766 data_time: 0.0878 memory: 63381 loss_text: 0.1922 loss_kernel: 0.1058 loss_embedding: 0.0069 loss: 0.3048 2022/08/26 20:21:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:21:20 - mmengine - INFO - Epoch(train) [465][5/16] lr: 2.6159e-04 eta: 1:04:54 time: 2.6504 data_time: 0.4613 memory: 63381 loss_text: 0.2025 loss_kernel: 0.1110 loss_embedding: 0.0080 loss: 0.3214 2022/08/26 20:21:32 - mmengine - INFO - Epoch(train) [465][10/16] lr: 2.6159e-04 eta: 1:04:25 time: 2.7084 data_time: 0.4875 memory: 63381 loss_text: 0.1886 loss_kernel: 0.1032 loss_embedding: 0.0085 loss: 0.3003 2022/08/26 20:21:43 - mmengine - INFO - Epoch(train) [465][15/16] lr: 2.6159e-04 eta: 1:04:25 time: 2.2967 data_time: 0.1011 memory: 63381 loss_text: 0.1962 loss_kernel: 0.1058 loss_embedding: 0.0071 loss: 0.3092 2022/08/26 20:21:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:22:00 - mmengine - INFO - Epoch(train) [466][5/16] lr: 2.5984e-04 eta: 1:04:25 time: 2.6636 data_time: 0.4589 memory: 63381 loss_text: 0.1788 loss_kernel: 0.0992 loss_embedding: 0.0076 loss: 0.2855 2022/08/26 20:22:12 - mmengine - INFO - Epoch(train) [466][10/16] lr: 2.5984e-04 eta: 1:03:56 time: 2.7274 data_time: 0.5151 memory: 63381 loss_text: 0.1841 loss_kernel: 0.1037 loss_embedding: 0.0072 loss: 0.2950 2022/08/26 20:22:24 - mmengine - INFO - Epoch(train) [466][15/16] lr: 2.5984e-04 eta: 1:03:56 time: 2.3921 data_time: 0.1849 memory: 63381 loss_text: 0.1937 loss_kernel: 0.1081 loss_embedding: 0.0071 loss: 0.3089 2022/08/26 20:22:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:22:41 - mmengine - INFO - Epoch(train) [467][5/16] lr: 2.5810e-04 eta: 1:03:56 time: 2.6891 data_time: 0.5122 memory: 63381 loss_text: 0.1992 loss_kernel: 0.1089 loss_embedding: 0.0066 loss: 0.3147 2022/08/26 20:22:53 - mmengine - INFO - Epoch(train) [467][10/16] lr: 2.5810e-04 eta: 1:03:27 time: 2.7126 data_time: 0.4904 memory: 63381 loss_text: 0.2091 loss_kernel: 0.1131 loss_embedding: 0.0070 loss: 0.3292 2022/08/26 20:23:05 - mmengine - INFO - Epoch(train) [467][15/16] lr: 2.5810e-04 eta: 1:03:27 time: 2.3735 data_time: 0.1073 memory: 63381 loss_text: 0.1768 loss_kernel: 0.0971 loss_embedding: 0.0078 loss: 0.2816 2022/08/26 20:23:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:23:22 - mmengine - INFO - Epoch(train) [468][5/16] lr: 2.5635e-04 eta: 1:03:27 time: 2.6566 data_time: 0.4685 memory: 63381 loss_text: 0.1817 loss_kernel: 0.0994 loss_embedding: 0.0078 loss: 0.2889 2022/08/26 20:23:34 - mmengine - INFO - Epoch(train) [468][10/16] lr: 2.5635e-04 eta: 1:02:58 time: 2.7458 data_time: 0.5307 memory: 63381 loss_text: 0.1814 loss_kernel: 0.0994 loss_embedding: 0.0076 loss: 0.2884 2022/08/26 20:23:45 - mmengine - INFO - Epoch(train) [468][15/16] lr: 2.5635e-04 eta: 1:02:58 time: 2.3417 data_time: 0.1311 memory: 63381 loss_text: 0.1765 loss_kernel: 0.0982 loss_embedding: 0.0070 loss: 0.2817 2022/08/26 20:23:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:24:02 - mmengine - INFO - Epoch(train) [469][5/16] lr: 2.5460e-04 eta: 1:02:58 time: 2.5742 data_time: 0.4667 memory: 63381 loss_text: 0.1994 loss_kernel: 0.1086 loss_embedding: 0.0065 loss: 0.3144 2022/08/26 20:24:14 - mmengine - INFO - Epoch(train) [469][10/16] lr: 2.5460e-04 eta: 1:02:29 time: 2.7335 data_time: 0.5383 memory: 63381 loss_text: 0.1976 loss_kernel: 0.1058 loss_embedding: 0.0068 loss: 0.3102 2022/08/26 20:24:25 - mmengine - INFO - Epoch(train) [469][15/16] lr: 2.5460e-04 eta: 1:02:29 time: 2.3072 data_time: 0.1255 memory: 63381 loss_text: 0.1979 loss_kernel: 0.1070 loss_embedding: 0.0067 loss: 0.3115 2022/08/26 20:24:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:24:42 - mmengine - INFO - Epoch(train) [470][5/16] lr: 2.5285e-04 eta: 1:02:29 time: 2.6137 data_time: 0.4933 memory: 63381 loss_text: 0.1923 loss_kernel: 0.1044 loss_embedding: 0.0071 loss: 0.3038 2022/08/26 20:24:54 - mmengine - INFO - Epoch(train) [470][10/16] lr: 2.5285e-04 eta: 1:02:01 time: 2.7098 data_time: 0.5122 memory: 63381 loss_text: 0.1869 loss_kernel: 0.1032 loss_embedding: 0.0076 loss: 0.2977 2022/08/26 20:25:05 - mmengine - INFO - Epoch(train) [470][15/16] lr: 2.5285e-04 eta: 1:02:01 time: 2.2304 data_time: 0.0791 memory: 63381 loss_text: 0.1911 loss_kernel: 0.1058 loss_embedding: 0.0077 loss: 0.3046 2022/08/26 20:25:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:25:22 - mmengine - INFO - Epoch(train) [471][5/16] lr: 2.5110e-04 eta: 1:02:01 time: 2.5709 data_time: 0.4581 memory: 63381 loss_text: 0.2006 loss_kernel: 0.1078 loss_embedding: 0.0060 loss: 0.3144 2022/08/26 20:25:33 - mmengine - INFO - Epoch(train) [471][10/16] lr: 2.5110e-04 eta: 1:01:32 time: 2.6928 data_time: 0.5102 memory: 63381 loss_text: 0.1980 loss_kernel: 0.1068 loss_embedding: 0.0057 loss: 0.3104 2022/08/26 20:25:45 - mmengine - INFO - Epoch(train) [471][15/16] lr: 2.5110e-04 eta: 1:01:32 time: 2.3067 data_time: 0.1162 memory: 63381 loss_text: 0.1937 loss_kernel: 0.1071 loss_embedding: 0.0071 loss: 0.3079 2022/08/26 20:25:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:26:02 - mmengine - INFO - Epoch(train) [472][5/16] lr: 2.4935e-04 eta: 1:01:32 time: 2.6600 data_time: 0.4942 memory: 63381 loss_text: 0.1612 loss_kernel: 0.0914 loss_embedding: 0.0072 loss: 0.2598 2022/08/26 20:26:14 - mmengine - INFO - Epoch(train) [472][10/16] lr: 2.4935e-04 eta: 1:01:03 time: 2.7539 data_time: 0.5446 memory: 63381 loss_text: 0.1761 loss_kernel: 0.0986 loss_embedding: 0.0069 loss: 0.2816 2022/08/26 20:26:25 - mmengine - INFO - Epoch(train) [472][15/16] lr: 2.4935e-04 eta: 1:01:03 time: 2.3621 data_time: 0.1309 memory: 63381 loss_text: 0.1966 loss_kernel: 0.1085 loss_embedding: 0.0076 loss: 0.3126 2022/08/26 20:26:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:26:43 - mmengine - INFO - Epoch(train) [473][5/16] lr: 2.4759e-04 eta: 1:01:03 time: 2.6795 data_time: 0.5313 memory: 63381 loss_text: 0.2019 loss_kernel: 0.1111 loss_embedding: 0.0086 loss: 0.3216 2022/08/26 20:26:55 - mmengine - INFO - Epoch(train) [473][10/16] lr: 2.4759e-04 eta: 1:00:34 time: 2.7723 data_time: 0.5604 memory: 63381 loss_text: 0.1920 loss_kernel: 0.1061 loss_embedding: 0.0073 loss: 0.3054 2022/08/26 20:27:06 - mmengine - INFO - Epoch(train) [473][15/16] lr: 2.4759e-04 eta: 1:00:34 time: 2.2662 data_time: 0.0982 memory: 63381 loss_text: 0.1835 loss_kernel: 0.1018 loss_embedding: 0.0065 loss: 0.2918 2022/08/26 20:27:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:27:23 - mmengine - INFO - Epoch(train) [474][5/16] lr: 2.4584e-04 eta: 1:00:34 time: 2.6111 data_time: 0.5082 memory: 63381 loss_text: 0.1796 loss_kernel: 0.0985 loss_embedding: 0.0072 loss: 0.2853 2022/08/26 20:27:35 - mmengine - INFO - Epoch(train) [474][10/16] lr: 2.4584e-04 eta: 1:00:05 time: 2.7192 data_time: 0.5231 memory: 63381 loss_text: 0.1760 loss_kernel: 0.0965 loss_embedding: 0.0073 loss: 0.2798 2022/08/26 20:27:46 - mmengine - INFO - Epoch(train) [474][15/16] lr: 2.4584e-04 eta: 1:00:05 time: 2.3030 data_time: 0.0985 memory: 63381 loss_text: 0.1740 loss_kernel: 0.0965 loss_embedding: 0.0070 loss: 0.2775 2022/08/26 20:27:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:28:03 - mmengine - INFO - Epoch(train) [475][5/16] lr: 2.4408e-04 eta: 1:00:05 time: 2.6076 data_time: 0.4796 memory: 63381 loss_text: 0.2033 loss_kernel: 0.1106 loss_embedding: 0.0062 loss: 0.3200 2022/08/26 20:28:15 - mmengine - INFO - Epoch(train) [475][10/16] lr: 2.4408e-04 eta: 0:59:36 time: 2.7662 data_time: 0.5441 memory: 63381 loss_text: 0.2118 loss_kernel: 0.1146 loss_embedding: 0.0061 loss: 0.3325 2022/08/26 20:28:26 - mmengine - INFO - Epoch(train) [475][15/16] lr: 2.4408e-04 eta: 0:59:36 time: 2.3335 data_time: 0.1433 memory: 63381 loss_text: 0.2179 loss_kernel: 0.1175 loss_embedding: 0.0060 loss: 0.3414 2022/08/26 20:28:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:28:43 - mmengine - INFO - Epoch(train) [476][5/16] lr: 2.4232e-04 eta: 0:59:36 time: 2.5564 data_time: 0.4743 memory: 63381 loss_text: 0.2284 loss_kernel: 0.1227 loss_embedding: 0.0074 loss: 0.3584 2022/08/26 20:28:55 - mmengine - INFO - Epoch(train) [476][10/16] lr: 2.4232e-04 eta: 0:59:07 time: 2.6923 data_time: 0.5279 memory: 63381 loss_text: 0.2213 loss_kernel: 0.1200 loss_embedding: 0.0080 loss: 0.3493 2022/08/26 20:29:06 - mmengine - INFO - Epoch(train) [476][15/16] lr: 2.4232e-04 eta: 0:59:07 time: 2.3323 data_time: 0.1377 memory: 63381 loss_text: 0.2109 loss_kernel: 0.1141 loss_embedding: 0.0075 loss: 0.3325 2022/08/26 20:29:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:29:24 - mmengine - INFO - Epoch(train) [477][5/16] lr: 2.4056e-04 eta: 0:59:07 time: 2.6334 data_time: 0.5320 memory: 63381 loss_text: 0.2184 loss_kernel: 0.1177 loss_embedding: 0.0090 loss: 0.3451 2022/08/26 20:29:35 - mmengine - INFO - Epoch(train) [477][10/16] lr: 2.4056e-04 eta: 0:58:39 time: 2.7891 data_time: 0.5741 memory: 63381 loss_text: 0.1881 loss_kernel: 0.1034 loss_embedding: 0.0101 loss: 0.3017 2022/08/26 20:29:46 - mmengine - INFO - Epoch(train) [477][15/16] lr: 2.4056e-04 eta: 0:58:39 time: 2.2552 data_time: 0.0918 memory: 63381 loss_text: 0.1872 loss_kernel: 0.1039 loss_embedding: 0.0080 loss: 0.2991 2022/08/26 20:29:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:30:04 - mmengine - INFO - Epoch(train) [478][5/16] lr: 2.3880e-04 eta: 0:58:39 time: 2.6555 data_time: 0.5119 memory: 63381 loss_text: 0.1826 loss_kernel: 0.1016 loss_embedding: 0.0072 loss: 0.2913 2022/08/26 20:30:15 - mmengine - INFO - Epoch(train) [478][10/16] lr: 2.3880e-04 eta: 0:58:10 time: 2.7417 data_time: 0.5331 memory: 63381 loss_text: 0.1971 loss_kernel: 0.1078 loss_embedding: 0.0078 loss: 0.3126 2022/08/26 20:30:26 - mmengine - INFO - Epoch(train) [478][15/16] lr: 2.3880e-04 eta: 0:58:10 time: 2.1962 data_time: 0.0845 memory: 63381 loss_text: 0.1948 loss_kernel: 0.1067 loss_embedding: 0.0071 loss: 0.3086 2022/08/26 20:30:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:30:44 - mmengine - INFO - Epoch(train) [479][5/16] lr: 2.3704e-04 eta: 0:58:10 time: 2.5905 data_time: 0.5019 memory: 63381 loss_text: 0.1885 loss_kernel: 0.1024 loss_embedding: 0.0070 loss: 0.2979 2022/08/26 20:30:55 - mmengine - INFO - Epoch(train) [479][10/16] lr: 2.3704e-04 eta: 0:57:41 time: 2.7073 data_time: 0.5330 memory: 63381 loss_text: 0.1936 loss_kernel: 0.1057 loss_embedding: 0.0073 loss: 0.3066 2022/08/26 20:31:07 - mmengine - INFO - Epoch(train) [479][15/16] lr: 2.3704e-04 eta: 0:57:41 time: 2.3437 data_time: 0.1068 memory: 63381 loss_text: 0.1789 loss_kernel: 0.1002 loss_embedding: 0.0076 loss: 0.2867 2022/08/26 20:31:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:31:24 - mmengine - INFO - Epoch(train) [480][5/16] lr: 2.3528e-04 eta: 0:57:41 time: 2.6562 data_time: 0.4996 memory: 63381 loss_text: 0.1963 loss_kernel: 0.1067 loss_embedding: 0.0069 loss: 0.3099 2022/08/26 20:31:35 - mmengine - INFO - Epoch(train) [480][10/16] lr: 2.3528e-04 eta: 0:57:12 time: 2.6825 data_time: 0.5249 memory: 63381 loss_text: 0.1991 loss_kernel: 0.1086 loss_embedding: 0.0074 loss: 0.3151 2022/08/26 20:31:47 - mmengine - INFO - Epoch(train) [480][15/16] lr: 2.3528e-04 eta: 0:57:12 time: 2.2987 data_time: 0.0955 memory: 63381 loss_text: 0.1862 loss_kernel: 0.1021 loss_embedding: 0.0073 loss: 0.2956 2022/08/26 20:31:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:31:48 - mmengine - INFO - Saving checkpoint at 480 epochs 2022/08/26 20:31:52 - mmengine - INFO - Epoch(val) [480][5/500] eta: 0:57:12 time: 0.0577 data_time: 0.0133 memory: 39748 2022/08/26 20:31:52 - mmengine - INFO - Epoch(val) [480][10/500] eta: 0:00:28 time: 0.0577 data_time: 0.0138 memory: 661 2022/08/26 20:31:52 - mmengine - INFO - Epoch(val) [480][15/500] eta: 0:00:28 time: 0.0226 data_time: 0.0024 memory: 661 2022/08/26 20:31:52 - mmengine - INFO - Epoch(val) [480][20/500] eta: 0:00:10 time: 0.0212 data_time: 0.0021 memory: 661 2022/08/26 20:31:53 - mmengine - INFO - Epoch(val) [480][25/500] eta: 0:00:10 time: 0.0213 data_time: 0.0021 memory: 661 2022/08/26 20:31:53 - mmengine - INFO - Epoch(val) [480][30/500] eta: 0:00:11 time: 0.0239 data_time: 0.0021 memory: 661 2022/08/26 20:31:53 - mmengine - INFO - Epoch(val) [480][35/500] eta: 0:00:11 time: 0.0245 data_time: 0.0021 memory: 661 2022/08/26 20:31:53 - mmengine - INFO - Epoch(val) [480][40/500] eta: 0:00:11 time: 0.0248 data_time: 0.0021 memory: 661 2022/08/26 20:31:53 - mmengine - INFO - Epoch(val) [480][45/500] eta: 0:00:11 time: 0.0254 data_time: 0.0020 memory: 661 2022/08/26 20:31:53 - mmengine - INFO - Epoch(val) [480][50/500] eta: 0:00:10 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 20:31:53 - mmengine - INFO - Epoch(val) [480][55/500] eta: 0:00:10 time: 0.0240 data_time: 0.0021 memory: 661 2022/08/26 20:31:53 - mmengine - INFO - Epoch(val) [480][60/500] eta: 0:00:10 time: 0.0230 data_time: 0.0022 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][65/500] eta: 0:00:10 time: 0.0238 data_time: 0.0021 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][70/500] eta: 0:00:10 time: 0.0244 data_time: 0.0020 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][75/500] eta: 0:00:10 time: 0.0210 data_time: 0.0020 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][80/500] eta: 0:00:08 time: 0.0196 data_time: 0.0023 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][85/500] eta: 0:00:08 time: 0.0192 data_time: 0.0024 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][90/500] eta: 0:00:09 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][95/500] eta: 0:00:09 time: 0.0240 data_time: 0.0022 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][100/500] eta: 0:00:08 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][105/500] eta: 0:00:08 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 20:31:54 - mmengine - INFO - Epoch(val) [480][110/500] eta: 0:00:08 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 20:31:55 - mmengine - INFO - Epoch(val) [480][115/500] eta: 0:00:08 time: 0.0223 data_time: 0.0020 memory: 661 2022/08/26 20:31:55 - mmengine - INFO - Epoch(val) [480][120/500] eta: 0:00:08 time: 0.0230 data_time: 0.0020 memory: 661 2022/08/26 20:31:55 - mmengine - INFO - Epoch(val) [480][125/500] eta: 0:00:08 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 20:31:55 - mmengine - INFO - Epoch(val) [480][130/500] eta: 0:00:15 time: 0.0429 data_time: 0.0231 memory: 661 2022/08/26 20:31:55 - mmengine - INFO - Epoch(val) [480][135/500] eta: 0:00:15 time: 0.0426 data_time: 0.0227 memory: 661 2022/08/26 20:31:55 - mmengine - INFO - Epoch(val) [480][140/500] eta: 0:00:07 time: 0.0217 data_time: 0.0015 memory: 661 2022/08/26 20:31:55 - mmengine - INFO - Epoch(val) [480][145/500] eta: 0:00:07 time: 0.0233 data_time: 0.0021 memory: 661 2022/08/26 20:31:56 - mmengine - INFO - Epoch(val) [480][150/500] eta: 0:00:08 time: 0.0236 data_time: 0.0021 memory: 661 2022/08/26 20:31:56 - mmengine - INFO - Epoch(val) [480][155/500] eta: 0:00:08 time: 0.0262 data_time: 0.0021 memory: 661 2022/08/26 20:31:56 - mmengine - INFO - Epoch(val) [480][160/500] eta: 0:00:08 time: 0.0261 data_time: 0.0020 memory: 661 2022/08/26 20:31:56 - mmengine - INFO - Epoch(val) [480][165/500] eta: 0:00:08 time: 0.0237 data_time: 0.0020 memory: 661 2022/08/26 20:31:56 - mmengine - INFO - Epoch(val) [480][170/500] eta: 0:00:07 time: 0.0238 data_time: 0.0019 memory: 661 2022/08/26 20:31:56 - mmengine - INFO - Epoch(val) [480][175/500] eta: 0:00:07 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 20:31:56 - mmengine - INFO - Epoch(val) [480][180/500] eta: 0:00:06 time: 0.0213 data_time: 0.0019 memory: 661 2022/08/26 20:31:56 - mmengine - INFO - Epoch(val) [480][185/500] eta: 0:00:06 time: 0.0235 data_time: 0.0019 memory: 661 2022/08/26 20:31:57 - mmengine - INFO - Epoch(val) [480][190/500] eta: 0:00:07 time: 0.0246 data_time: 0.0019 memory: 661 2022/08/26 20:31:57 - mmengine - INFO - Epoch(val) [480][195/500] eta: 0:00:07 time: 0.0231 data_time: 0.0020 memory: 661 2022/08/26 20:31:57 - mmengine - INFO - Epoch(val) [480][200/500] eta: 0:00:08 time: 0.0275 data_time: 0.0022 memory: 661 2022/08/26 20:31:57 - mmengine - INFO - Epoch(val) [480][205/500] eta: 0:00:08 time: 0.0272 data_time: 0.0022 memory: 661 2022/08/26 20:31:57 - mmengine - INFO - Epoch(val) [480][210/500] eta: 0:00:06 time: 0.0210 data_time: 0.0021 memory: 661 2022/08/26 20:31:57 - mmengine - INFO - Epoch(val) [480][215/500] eta: 0:00:06 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 20:31:57 - mmengine - INFO - Epoch(val) [480][220/500] eta: 0:00:06 time: 0.0229 data_time: 0.0021 memory: 661 2022/08/26 20:31:57 - mmengine - INFO - Epoch(val) [480][225/500] eta: 0:00:06 time: 0.0229 data_time: 0.0020 memory: 661 2022/08/26 20:31:57 - mmengine - INFO - Epoch(val) [480][230/500] eta: 0:00:05 time: 0.0213 data_time: 0.0021 memory: 661 2022/08/26 20:31:58 - mmengine - INFO - Epoch(val) [480][235/500] eta: 0:00:05 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 20:31:58 - mmengine - INFO - Epoch(val) [480][240/500] eta: 0:00:06 time: 0.0235 data_time: 0.0020 memory: 661 2022/08/26 20:31:58 - mmengine - INFO - Epoch(val) [480][245/500] eta: 0:00:06 time: 0.0222 data_time: 0.0020 memory: 661 2022/08/26 20:31:58 - mmengine - INFO - Epoch(val) [480][250/500] eta: 0:00:05 time: 0.0223 data_time: 0.0019 memory: 661 2022/08/26 20:31:58 - mmengine - INFO - Epoch(val) [480][255/500] eta: 0:00:05 time: 0.0225 data_time: 0.0020 memory: 661 2022/08/26 20:31:58 - mmengine - INFO - Epoch(val) [480][260/500] eta: 0:00:05 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 20:31:58 - mmengine - INFO - Epoch(val) [480][265/500] eta: 0:00:05 time: 0.0219 data_time: 0.0022 memory: 661 2022/08/26 20:31:58 - mmengine - INFO - Epoch(val) [480][270/500] eta: 0:00:05 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 20:31:58 - mmengine - INFO - Epoch(val) [480][275/500] eta: 0:00:05 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 20:31:59 - mmengine - INFO - Epoch(val) [480][280/500] eta: 0:00:05 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 20:31:59 - mmengine - INFO - Epoch(val) [480][285/500] eta: 0:00:05 time: 0.0281 data_time: 0.0041 memory: 661 2022/08/26 20:31:59 - mmengine - INFO - Epoch(val) [480][290/500] eta: 0:00:05 time: 0.0275 data_time: 0.0040 memory: 661 2022/08/26 20:31:59 - mmengine - INFO - Epoch(val) [480][295/500] eta: 0:00:05 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 20:31:59 - mmengine - INFO - Epoch(val) [480][300/500] eta: 0:00:04 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 20:31:59 - mmengine - INFO - Epoch(val) [480][305/500] eta: 0:00:04 time: 0.0224 data_time: 0.0021 memory: 661 2022/08/26 20:31:59 - mmengine - INFO - Epoch(val) [480][310/500] eta: 0:00:04 time: 0.0232 data_time: 0.0025 memory: 661 2022/08/26 20:31:59 - mmengine - INFO - Epoch(val) [480][315/500] eta: 0:00:04 time: 0.0247 data_time: 0.0025 memory: 661 2022/08/26 20:32:00 - mmengine - INFO - Epoch(val) [480][320/500] eta: 0:00:04 time: 0.0239 data_time: 0.0022 memory: 661 2022/08/26 20:32:00 - mmengine - INFO - Epoch(val) [480][325/500] eta: 0:00:04 time: 0.0317 data_time: 0.0021 memory: 661 2022/08/26 20:32:00 - mmengine - INFO - Epoch(val) [480][330/500] eta: 0:00:05 time: 0.0314 data_time: 0.0020 memory: 661 2022/08/26 20:32:00 - mmengine - INFO - Epoch(val) [480][335/500] eta: 0:00:05 time: 0.0204 data_time: 0.0021 memory: 661 2022/08/26 20:32:00 - mmengine - INFO - Epoch(val) [480][340/500] eta: 0:00:04 time: 0.0250 data_time: 0.0020 memory: 661 2022/08/26 20:32:00 - mmengine - INFO - Epoch(val) [480][345/500] eta: 0:00:04 time: 0.0270 data_time: 0.0024 memory: 661 2022/08/26 20:32:00 - mmengine - INFO - Epoch(val) [480][350/500] eta: 0:00:03 time: 0.0263 data_time: 0.0025 memory: 661 2022/08/26 20:32:01 - mmengine - INFO - Epoch(val) [480][355/500] eta: 0:00:03 time: 0.0250 data_time: 0.0022 memory: 661 2022/08/26 20:32:01 - mmengine - INFO - Epoch(val) [480][360/500] eta: 0:00:03 time: 0.0216 data_time: 0.0022 memory: 661 2022/08/26 20:32:01 - mmengine - INFO - Epoch(val) [480][365/500] eta: 0:00:03 time: 0.0223 data_time: 0.0020 memory: 661 2022/08/26 20:32:01 - mmengine - INFO - Epoch(val) [480][370/500] eta: 0:00:02 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 20:32:01 - mmengine - INFO - Epoch(val) [480][375/500] eta: 0:00:02 time: 0.0211 data_time: 0.0022 memory: 661 2022/08/26 20:32:01 - mmengine - INFO - Epoch(val) [480][380/500] eta: 0:00:02 time: 0.0232 data_time: 0.0021 memory: 661 2022/08/26 20:32:01 - mmengine - INFO - Epoch(val) [480][385/500] eta: 0:00:02 time: 0.0234 data_time: 0.0020 memory: 661 2022/08/26 20:32:01 - mmengine - INFO - Epoch(val) [480][390/500] eta: 0:00:02 time: 0.0218 data_time: 0.0020 memory: 661 2022/08/26 20:32:01 - mmengine - INFO - Epoch(val) [480][395/500] eta: 0:00:02 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 20:32:02 - mmengine - INFO - Epoch(val) [480][400/500] eta: 0:00:02 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 20:32:02 - mmengine - INFO - Epoch(val) [480][405/500] eta: 0:00:02 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 20:32:02 - mmengine - INFO - Epoch(val) [480][410/500] eta: 0:00:02 time: 0.0232 data_time: 0.0019 memory: 661 2022/08/26 20:32:02 - mmengine - INFO - Epoch(val) [480][415/500] eta: 0:00:02 time: 0.0241 data_time: 0.0019 memory: 661 2022/08/26 20:32:02 - mmengine - INFO - Epoch(val) [480][420/500] eta: 0:00:01 time: 0.0216 data_time: 0.0021 memory: 661 2022/08/26 20:32:02 - mmengine - INFO - Epoch(val) [480][425/500] eta: 0:00:01 time: 0.0207 data_time: 0.0022 memory: 661 2022/08/26 20:32:02 - mmengine - INFO - Epoch(val) [480][430/500] eta: 0:00:01 time: 0.0219 data_time: 0.0020 memory: 661 2022/08/26 20:32:02 - mmengine - INFO - Epoch(val) [480][435/500] eta: 0:00:01 time: 0.0210 data_time: 0.0019 memory: 661 2022/08/26 20:32:02 - mmengine - INFO - Epoch(val) [480][440/500] eta: 0:00:01 time: 0.0301 data_time: 0.0023 memory: 661 2022/08/26 20:32:03 - mmengine - INFO - Epoch(val) [480][445/500] eta: 0:00:01 time: 0.0322 data_time: 0.0022 memory: 661 2022/08/26 20:32:03 - mmengine - INFO - Epoch(val) [480][450/500] eta: 0:00:01 time: 0.0242 data_time: 0.0019 memory: 661 2022/08/26 20:32:03 - mmengine - INFO - Epoch(val) [480][455/500] eta: 0:00:01 time: 0.0230 data_time: 0.0018 memory: 661 2022/08/26 20:32:03 - mmengine - INFO - Epoch(val) [480][460/500] eta: 0:00:00 time: 0.0208 data_time: 0.0019 memory: 661 2022/08/26 20:32:03 - mmengine - INFO - Epoch(val) [480][465/500] eta: 0:00:00 time: 0.0202 data_time: 0.0020 memory: 661 2022/08/26 20:32:03 - mmengine - INFO - Epoch(val) [480][470/500] eta: 0:00:00 time: 0.0206 data_time: 0.0019 memory: 661 2022/08/26 20:32:03 - mmengine - INFO - Epoch(val) [480][475/500] eta: 0:00:00 time: 0.0202 data_time: 0.0021 memory: 661 2022/08/26 20:32:03 - mmengine - INFO - Epoch(val) [480][480/500] eta: 0:00:00 time: 0.0213 data_time: 0.0022 memory: 661 2022/08/26 20:32:03 - mmengine - INFO - Epoch(val) [480][485/500] eta: 0:00:00 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 20:32:04 - mmengine - INFO - Epoch(val) [480][490/500] eta: 0:00:00 time: 0.0227 data_time: 0.0019 memory: 661 2022/08/26 20:32:04 - mmengine - INFO - Epoch(val) [480][495/500] eta: 0:00:00 time: 0.0237 data_time: 0.0020 memory: 661 2022/08/26 20:32:04 - mmengine - INFO - Epoch(val) [480][500/500] eta: 0:00:00 time: 0.0217 data_time: 0.0021 memory: 661 2022/08/26 20:32:04 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7492, precision: 0.7695, hmean: 0.7592 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7492, precision: 0.7695, hmean: 0.7592 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7492, precision: 0.7695, hmean: 0.7592 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7492, precision: 0.7695, hmean: 0.7592 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7492, precision: 0.7695, hmean: 0.7592 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7492, precision: 0.7699, hmean: 0.7594 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7492, precision: 0.7718, hmean: 0.7603 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7487, precision: 0.7794, hmean: 0.7638 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7487, precision: 0.7881, hmean: 0.7679 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7477, precision: 0.8013, hmean: 0.7736 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7439, precision: 0.8162, hmean: 0.7783 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7362, precision: 0.8314, hmean: 0.7809 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7029, precision: 0.8578, hmean: 0.7727 2022/08/26 20:32:04 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4333, precision: 0.8911, hmean: 0.5831 2022/08/26 20:32:04 - mmengine - INFO - Epoch(val) [480][500/500] icdar/precision: 0.8314 icdar/recall: 0.7362 icdar/hmean: 0.7809 2022/08/26 20:32:19 - mmengine - INFO - Epoch(train) [481][5/16] lr: 2.3351e-04 eta: 0:00:00 time: 2.6280 data_time: 0.4720 memory: 63381 loss_text: 0.1675 loss_kernel: 0.0951 loss_embedding: 0.0064 loss: 0.2691 2022/08/26 20:32:31 - mmengine - INFO - Epoch(train) [481][10/16] lr: 2.3351e-04 eta: 0:56:43 time: 2.7358 data_time: 0.5070 memory: 63381 loss_text: 0.1678 loss_kernel: 0.0946 loss_embedding: 0.0080 loss: 0.2704 2022/08/26 20:32:43 - mmengine - INFO - Epoch(train) [481][15/16] lr: 2.3351e-04 eta: 0:56:43 time: 2.3216 data_time: 0.1016 memory: 63381 loss_text: 0.1785 loss_kernel: 0.0977 loss_embedding: 0.0078 loss: 0.2840 2022/08/26 20:32:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:33:00 - mmengine - INFO - Epoch(train) [482][5/16] lr: 2.3174e-04 eta: 0:56:43 time: 2.6397 data_time: 0.5015 memory: 63381 loss_text: 0.1865 loss_kernel: 0.0996 loss_embedding: 0.0064 loss: 0.2925 2022/08/26 20:33:12 - mmengine - INFO - Epoch(train) [482][10/16] lr: 2.3174e-04 eta: 0:56:14 time: 2.7518 data_time: 0.5213 memory: 63381 loss_text: 0.1924 loss_kernel: 0.1044 loss_embedding: 0.0069 loss: 0.3037 2022/08/26 20:33:23 - mmengine - INFO - Epoch(train) [482][15/16] lr: 2.3174e-04 eta: 0:56:14 time: 2.2606 data_time: 0.0932 memory: 63381 loss_text: 0.1928 loss_kernel: 0.1055 loss_embedding: 0.0075 loss: 0.3059 2022/08/26 20:33:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:33:40 - mmengine - INFO - Epoch(train) [483][5/16] lr: 2.2998e-04 eta: 0:56:14 time: 2.6409 data_time: 0.5486 memory: 63381 loss_text: 0.1921 loss_kernel: 0.1045 loss_embedding: 0.0079 loss: 0.3045 2022/08/26 20:33:52 - mmengine - INFO - Epoch(train) [483][10/16] lr: 2.2998e-04 eta: 0:55:46 time: 2.7503 data_time: 0.5622 memory: 63381 loss_text: 0.1833 loss_kernel: 0.0994 loss_embedding: 0.0071 loss: 0.2898 2022/08/26 20:34:03 - mmengine - INFO - Epoch(train) [483][15/16] lr: 2.2998e-04 eta: 0:55:46 time: 2.2882 data_time: 0.0828 memory: 63381 loss_text: 0.1822 loss_kernel: 0.0991 loss_embedding: 0.0065 loss: 0.2877 2022/08/26 20:34:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:34:20 - mmengine - INFO - Epoch(train) [484][5/16] lr: 2.2821e-04 eta: 0:55:46 time: 2.6134 data_time: 0.4999 memory: 63381 loss_text: 0.2120 loss_kernel: 0.1152 loss_embedding: 0.0067 loss: 0.3338 2022/08/26 20:34:31 - mmengine - INFO - Epoch(train) [484][10/16] lr: 2.2821e-04 eta: 0:55:17 time: 2.6751 data_time: 0.5148 memory: 63381 loss_text: 0.2050 loss_kernel: 0.1125 loss_embedding: 0.0072 loss: 0.3247 2022/08/26 20:34:43 - mmengine - INFO - Epoch(train) [484][15/16] lr: 2.2821e-04 eta: 0:55:17 time: 2.2803 data_time: 0.0808 memory: 63381 loss_text: 0.1956 loss_kernel: 0.1064 loss_embedding: 0.0066 loss: 0.3086 2022/08/26 20:34:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:35:00 - mmengine - INFO - Epoch(train) [485][5/16] lr: 2.2644e-04 eta: 0:55:17 time: 2.6673 data_time: 0.5115 memory: 63381 loss_text: 0.2040 loss_kernel: 0.1098 loss_embedding: 0.0065 loss: 0.3203 2022/08/26 20:35:12 - mmengine - INFO - Epoch(train) [485][10/16] lr: 2.2644e-04 eta: 0:54:48 time: 2.7499 data_time: 0.5283 memory: 63381 loss_text: 0.2013 loss_kernel: 0.1112 loss_embedding: 0.0065 loss: 0.3191 2022/08/26 20:35:23 - mmengine - INFO - Epoch(train) [485][15/16] lr: 2.2644e-04 eta: 0:54:48 time: 2.3033 data_time: 0.1208 memory: 63381 loss_text: 0.1866 loss_kernel: 0.1027 loss_embedding: 0.0065 loss: 0.2957 2022/08/26 20:35:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:35:41 - mmengine - INFO - Epoch(train) [486][5/16] lr: 2.2466e-04 eta: 0:54:48 time: 2.6473 data_time: 0.5199 memory: 63381 loss_text: 0.1655 loss_kernel: 0.0919 loss_embedding: 0.0066 loss: 0.2639 2022/08/26 20:35:52 - mmengine - INFO - Epoch(train) [486][10/16] lr: 2.2466e-04 eta: 0:54:19 time: 2.6854 data_time: 0.5044 memory: 63381 loss_text: 0.1755 loss_kernel: 0.0961 loss_embedding: 0.0069 loss: 0.2784 2022/08/26 20:36:04 - mmengine - INFO - Epoch(train) [486][15/16] lr: 2.2466e-04 eta: 0:54:19 time: 2.3121 data_time: 0.0794 memory: 63381 loss_text: 0.1768 loss_kernel: 0.0978 loss_embedding: 0.0071 loss: 0.2818 2022/08/26 20:36:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:36:22 - mmengine - INFO - Epoch(train) [487][5/16] lr: 2.2289e-04 eta: 0:54:19 time: 2.7795 data_time: 0.5631 memory: 63381 loss_text: 0.1895 loss_kernel: 0.1052 loss_embedding: 0.0071 loss: 0.3018 2022/08/26 20:36:33 - mmengine - INFO - Epoch(train) [487][10/16] lr: 2.2289e-04 eta: 0:53:50 time: 2.7824 data_time: 0.5918 memory: 63381 loss_text: 0.1823 loss_kernel: 0.1021 loss_embedding: 0.0068 loss: 0.2912 2022/08/26 20:36:45 - mmengine - INFO - Epoch(train) [487][15/16] lr: 2.2289e-04 eta: 0:53:50 time: 2.2632 data_time: 0.0838 memory: 63381 loss_text: 0.1846 loss_kernel: 0.1019 loss_embedding: 0.0071 loss: 0.2935 2022/08/26 20:36:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:37:02 - mmengine - INFO - Epoch(train) [488][5/16] lr: 2.2111e-04 eta: 0:53:50 time: 2.7005 data_time: 0.5277 memory: 63381 loss_text: 0.1731 loss_kernel: 0.0948 loss_embedding: 0.0077 loss: 0.2755 2022/08/26 20:37:14 - mmengine - INFO - Epoch(train) [488][10/16] lr: 2.2111e-04 eta: 0:53:22 time: 2.7782 data_time: 0.5889 memory: 63381 loss_text: 0.1825 loss_kernel: 0.1001 loss_embedding: 0.0077 loss: 0.2904 2022/08/26 20:37:25 - mmengine - INFO - Epoch(train) [488][15/16] lr: 2.2111e-04 eta: 0:53:22 time: 2.2572 data_time: 0.1067 memory: 63381 loss_text: 0.1701 loss_kernel: 0.0943 loss_embedding: 0.0082 loss: 0.2726 2022/08/26 20:37:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:37:43 - mmengine - INFO - Epoch(train) [489][5/16] lr: 2.1933e-04 eta: 0:53:22 time: 2.6381 data_time: 0.5279 memory: 63381 loss_text: 0.1814 loss_kernel: 0.0995 loss_embedding: 0.0073 loss: 0.2882 2022/08/26 20:37:54 - mmengine - INFO - Epoch(train) [489][10/16] lr: 2.1933e-04 eta: 0:52:53 time: 2.7575 data_time: 0.5592 memory: 63381 loss_text: 0.1882 loss_kernel: 0.1036 loss_embedding: 0.0072 loss: 0.2990 2022/08/26 20:38:05 - mmengine - INFO - Epoch(train) [489][15/16] lr: 2.1933e-04 eta: 0:52:53 time: 2.2498 data_time: 0.0881 memory: 63381 loss_text: 0.1879 loss_kernel: 0.1020 loss_embedding: 0.0067 loss: 0.2966 2022/08/26 20:38:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:38:23 - mmengine - INFO - Epoch(train) [490][5/16] lr: 2.1756e-04 eta: 0:52:53 time: 2.5889 data_time: 0.5136 memory: 63381 loss_text: 0.1899 loss_kernel: 0.1041 loss_embedding: 0.0061 loss: 0.3001 2022/08/26 20:38:34 - mmengine - INFO - Epoch(train) [490][10/16] lr: 2.1756e-04 eta: 0:52:24 time: 2.7403 data_time: 0.5626 memory: 63381 loss_text: 0.1937 loss_kernel: 0.1077 loss_embedding: 0.0064 loss: 0.3078 2022/08/26 20:38:45 - mmengine - INFO - Epoch(train) [490][15/16] lr: 2.1756e-04 eta: 0:52:24 time: 2.2471 data_time: 0.0985 memory: 63381 loss_text: 0.1931 loss_kernel: 0.1061 loss_embedding: 0.0065 loss: 0.3057 2022/08/26 20:38:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:39:03 - mmengine - INFO - Epoch(train) [491][5/16] lr: 2.1577e-04 eta: 0:52:24 time: 2.6866 data_time: 0.5362 memory: 63381 loss_text: 0.1759 loss_kernel: 0.0962 loss_embedding: 0.0065 loss: 0.2786 2022/08/26 20:39:15 - mmengine - INFO - Epoch(train) [491][10/16] lr: 2.1577e-04 eta: 0:51:56 time: 2.8411 data_time: 0.5811 memory: 63381 loss_text: 0.1666 loss_kernel: 0.0933 loss_embedding: 0.0065 loss: 0.2664 2022/08/26 20:39:26 - mmengine - INFO - Epoch(train) [491][15/16] lr: 2.1577e-04 eta: 0:51:56 time: 2.2981 data_time: 0.0912 memory: 63381 loss_text: 0.1805 loss_kernel: 0.1000 loss_embedding: 0.0066 loss: 0.2871 2022/08/26 20:39:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:39:44 - mmengine - INFO - Epoch(train) [492][5/16] lr: 2.1399e-04 eta: 0:51:56 time: 2.6760 data_time: 0.5147 memory: 63381 loss_text: 0.1852 loss_kernel: 0.1006 loss_embedding: 0.0077 loss: 0.2935 2022/08/26 20:39:55 - mmengine - INFO - Epoch(train) [492][10/16] lr: 2.1399e-04 eta: 0:51:27 time: 2.7827 data_time: 0.5538 memory: 63381 loss_text: 0.1726 loss_kernel: 0.0942 loss_embedding: 0.0073 loss: 0.2740 2022/08/26 20:40:06 - mmengine - INFO - Epoch(train) [492][15/16] lr: 2.1399e-04 eta: 0:51:27 time: 2.2480 data_time: 0.0857 memory: 63381 loss_text: 0.1750 loss_kernel: 0.0964 loss_embedding: 0.0069 loss: 0.2782 2022/08/26 20:40:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:40:24 - mmengine - INFO - Epoch(train) [493][5/16] lr: 2.1221e-04 eta: 0:51:27 time: 2.6450 data_time: 0.5258 memory: 63381 loss_text: 0.1734 loss_kernel: 0.0965 loss_embedding: 0.0070 loss: 0.2769 2022/08/26 20:40:36 - mmengine - INFO - Epoch(train) [493][10/16] lr: 2.1221e-04 eta: 0:50:59 time: 2.8008 data_time: 0.5757 memory: 63381 loss_text: 0.1980 loss_kernel: 0.1090 loss_embedding: 0.0068 loss: 0.3138 2022/08/26 20:40:47 - mmengine - INFO - Epoch(train) [493][15/16] lr: 2.1221e-04 eta: 0:50:59 time: 2.2605 data_time: 0.1016 memory: 63381 loss_text: 0.2076 loss_kernel: 0.1112 loss_embedding: 0.0070 loss: 0.3258 2022/08/26 20:40:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:41:05 - mmengine - INFO - Epoch(train) [494][5/16] lr: 2.1042e-04 eta: 0:50:59 time: 2.6407 data_time: 0.5336 memory: 63381 loss_text: 0.1791 loss_kernel: 0.0982 loss_embedding: 0.0074 loss: 0.2847 2022/08/26 20:41:16 - mmengine - INFO - Epoch(train) [494][10/16] lr: 2.1042e-04 eta: 0:50:30 time: 2.7455 data_time: 0.5861 memory: 63381 loss_text: 0.2082 loss_kernel: 0.1139 loss_embedding: 0.0066 loss: 0.3287 2022/08/26 20:41:28 - mmengine - INFO - Epoch(train) [494][15/16] lr: 2.1042e-04 eta: 0:50:30 time: 2.3407 data_time: 0.1003 memory: 63381 loss_text: 0.1973 loss_kernel: 0.1085 loss_embedding: 0.0069 loss: 0.3126 2022/08/26 20:41:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:41:45 - mmengine - INFO - Epoch(train) [495][5/16] lr: 2.0863e-04 eta: 0:50:30 time: 2.7026 data_time: 0.5180 memory: 63381 loss_text: 0.1680 loss_kernel: 0.0932 loss_embedding: 0.0077 loss: 0.2690 2022/08/26 20:41:56 - mmengine - INFO - Epoch(train) [495][10/16] lr: 2.0863e-04 eta: 0:50:01 time: 2.7141 data_time: 0.5634 memory: 63381 loss_text: 0.1824 loss_kernel: 0.0998 loss_embedding: 0.0074 loss: 0.2896 2022/08/26 20:42:08 - mmengine - INFO - Epoch(train) [495][15/16] lr: 2.0863e-04 eta: 0:50:01 time: 2.2339 data_time: 0.0861 memory: 63381 loss_text: 0.1943 loss_kernel: 0.1055 loss_embedding: 0.0066 loss: 0.3064 2022/08/26 20:42:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:42:26 - mmengine - INFO - Epoch(train) [496][5/16] lr: 2.0685e-04 eta: 0:50:01 time: 2.7149 data_time: 0.5294 memory: 63381 loss_text: 0.1747 loss_kernel: 0.0958 loss_embedding: 0.0074 loss: 0.2779 2022/08/26 20:42:37 - mmengine - INFO - Epoch(train) [496][10/16] lr: 2.0685e-04 eta: 0:49:33 time: 2.8144 data_time: 0.5966 memory: 63381 loss_text: 0.1849 loss_kernel: 0.1017 loss_embedding: 0.0079 loss: 0.2945 2022/08/26 20:42:48 - mmengine - INFO - Epoch(train) [496][15/16] lr: 2.0685e-04 eta: 0:49:33 time: 2.2424 data_time: 0.1163 memory: 63381 loss_text: 0.1932 loss_kernel: 0.1068 loss_embedding: 0.0063 loss: 0.3062 2022/08/26 20:42:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:43:06 - mmengine - INFO - Epoch(train) [497][5/16] lr: 2.0505e-04 eta: 0:49:33 time: 2.6266 data_time: 0.5312 memory: 63381 loss_text: 0.1869 loss_kernel: 0.1035 loss_embedding: 0.0071 loss: 0.2974 2022/08/26 20:43:18 - mmengine - INFO - Epoch(train) [497][10/16] lr: 2.0505e-04 eta: 0:49:04 time: 2.8096 data_time: 0.5849 memory: 63381 loss_text: 0.1781 loss_kernel: 0.0983 loss_embedding: 0.0081 loss: 0.2845 2022/08/26 20:43:28 - mmengine - INFO - Epoch(train) [497][15/16] lr: 2.0505e-04 eta: 0:49:04 time: 2.2315 data_time: 0.0961 memory: 63381 loss_text: 0.2045 loss_kernel: 0.1113 loss_embedding: 0.0068 loss: 0.3226 2022/08/26 20:43:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:43:47 - mmengine - INFO - Epoch(train) [498][5/16] lr: 2.0326e-04 eta: 0:49:04 time: 2.6652 data_time: 0.5968 memory: 63381 loss_text: 0.2011 loss_kernel: 0.1085 loss_embedding: 0.0055 loss: 0.3151 2022/08/26 20:43:58 - mmengine - INFO - Epoch(train) [498][10/16] lr: 2.0326e-04 eta: 0:48:35 time: 2.8055 data_time: 0.6123 memory: 63381 loss_text: 0.1840 loss_kernel: 0.0994 loss_embedding: 0.0071 loss: 0.2905 2022/08/26 20:44:09 - mmengine - INFO - Epoch(train) [498][15/16] lr: 2.0326e-04 eta: 0:48:35 time: 2.2371 data_time: 0.0835 memory: 63381 loss_text: 0.1937 loss_kernel: 0.1049 loss_embedding: 0.0076 loss: 0.3062 2022/08/26 20:44:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:44:26 - mmengine - INFO - Epoch(train) [499][5/16] lr: 2.0147e-04 eta: 0:48:35 time: 2.5512 data_time: 0.5184 memory: 63381 loss_text: 0.2136 loss_kernel: 0.1162 loss_embedding: 0.0076 loss: 0.3374 2022/08/26 20:44:38 - mmengine - INFO - Epoch(train) [499][10/16] lr: 2.0147e-04 eta: 0:48:07 time: 2.7310 data_time: 0.5538 memory: 63381 loss_text: 0.1964 loss_kernel: 0.1094 loss_embedding: 0.0081 loss: 0.3139 2022/08/26 20:44:49 - mmengine - INFO - Epoch(train) [499][15/16] lr: 2.0147e-04 eta: 0:48:07 time: 2.2322 data_time: 0.0749 memory: 63381 loss_text: 0.1887 loss_kernel: 0.1039 loss_embedding: 0.0078 loss: 0.3003 2022/08/26 20:44:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:45:06 - mmengine - INFO - Epoch(train) [500][5/16] lr: 1.9967e-04 eta: 0:48:07 time: 2.5757 data_time: 0.5355 memory: 63381 loss_text: 0.1882 loss_kernel: 0.1029 loss_embedding: 0.0074 loss: 0.2985 2022/08/26 20:45:18 - mmengine - INFO - Epoch(train) [500][10/16] lr: 1.9967e-04 eta: 0:47:38 time: 2.7481 data_time: 0.5816 memory: 63381 loss_text: 0.1771 loss_kernel: 0.0982 loss_embedding: 0.0070 loss: 0.2823 2022/08/26 20:45:29 - mmengine - INFO - Epoch(train) [500][15/16] lr: 1.9967e-04 eta: 0:47:38 time: 2.2745 data_time: 0.0954 memory: 63381 loss_text: 0.1881 loss_kernel: 0.1033 loss_embedding: 0.0060 loss: 0.2975 2022/08/26 20:45:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:45:30 - mmengine - INFO - Saving checkpoint at 500 epochs 2022/08/26 20:45:34 - mmengine - INFO - Epoch(val) [500][5/500] eta: 0:47:38 time: 0.0518 data_time: 0.0137 memory: 39748 2022/08/26 20:45:34 - mmengine - INFO - Epoch(val) [500][10/500] eta: 0:00:25 time: 0.0530 data_time: 0.0135 memory: 661 2022/08/26 20:45:34 - mmengine - INFO - Epoch(val) [500][15/500] eta: 0:00:25 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 20:45:34 - mmengine - INFO - Epoch(val) [500][20/500] eta: 0:00:10 time: 0.0213 data_time: 0.0023 memory: 661 2022/08/26 20:45:34 - mmengine - INFO - Epoch(val) [500][25/500] eta: 0:00:10 time: 0.0211 data_time: 0.0021 memory: 661 2022/08/26 20:45:34 - mmengine - INFO - Epoch(val) [500][30/500] eta: 0:00:10 time: 0.0233 data_time: 0.0019 memory: 661 2022/08/26 20:45:34 - mmengine - INFO - Epoch(val) [500][35/500] eta: 0:00:10 time: 0.0239 data_time: 0.0020 memory: 661 2022/08/26 20:45:35 - mmengine - INFO - Epoch(val) [500][40/500] eta: 0:00:11 time: 0.0243 data_time: 0.0020 memory: 661 2022/08/26 20:45:35 - mmengine - INFO - Epoch(val) [500][45/500] eta: 0:00:11 time: 0.0246 data_time: 0.0020 memory: 661 2022/08/26 20:45:35 - mmengine - INFO - Epoch(val) [500][50/500] eta: 0:00:10 time: 0.0223 data_time: 0.0020 memory: 661 2022/08/26 20:45:35 - mmengine - INFO - Epoch(val) [500][55/500] eta: 0:00:10 time: 0.0230 data_time: 0.0020 memory: 661 2022/08/26 20:45:35 - mmengine - INFO - Epoch(val) [500][60/500] eta: 0:00:09 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 20:45:35 - mmengine - INFO - Epoch(val) [500][65/500] eta: 0:00:09 time: 0.0231 data_time: 0.0020 memory: 661 2022/08/26 20:45:35 - mmengine - INFO - Epoch(val) [500][70/500] eta: 0:00:10 time: 0.0247 data_time: 0.0019 memory: 661 2022/08/26 20:45:35 - mmengine - INFO - Epoch(val) [500][75/500] eta: 0:00:10 time: 0.0221 data_time: 0.0019 memory: 661 2022/08/26 20:45:35 - mmengine - INFO - Epoch(val) [500][80/500] eta: 0:00:08 time: 0.0200 data_time: 0.0021 memory: 661 2022/08/26 20:45:36 - mmengine - INFO - Epoch(val) [500][85/500] eta: 0:00:08 time: 0.0193 data_time: 0.0021 memory: 661 2022/08/26 20:45:36 - mmengine - INFO - Epoch(val) [500][90/500] eta: 0:00:09 time: 0.0225 data_time: 0.0019 memory: 661 2022/08/26 20:45:36 - mmengine - INFO - Epoch(val) [500][95/500] eta: 0:00:09 time: 0.0243 data_time: 0.0019 memory: 661 2022/08/26 20:45:36 - mmengine - INFO - Epoch(val) [500][100/500] eta: 0:00:08 time: 0.0216 data_time: 0.0019 memory: 661 2022/08/26 20:45:36 - mmengine - INFO - Epoch(val) [500][105/500] eta: 0:00:08 time: 0.0211 data_time: 0.0019 memory: 661 2022/08/26 20:45:36 - mmengine - INFO - Epoch(val) [500][110/500] eta: 0:00:08 time: 0.0209 data_time: 0.0019 memory: 661 2022/08/26 20:45:36 - mmengine - INFO - Epoch(val) [500][115/500] eta: 0:00:08 time: 0.0215 data_time: 0.0019 memory: 661 2022/08/26 20:45:36 - mmengine - INFO - Epoch(val) [500][120/500] eta: 0:00:08 time: 0.0224 data_time: 0.0019 memory: 661 2022/08/26 20:45:36 - mmengine - INFO - Epoch(val) [500][125/500] eta: 0:00:08 time: 0.0215 data_time: 0.0019 memory: 661 2022/08/26 20:45:37 - mmengine - INFO - Epoch(val) [500][130/500] eta: 0:00:07 time: 0.0208 data_time: 0.0018 memory: 661 2022/08/26 20:45:37 - mmengine - INFO - Epoch(val) [500][135/500] eta: 0:00:07 time: 0.0206 data_time: 0.0018 memory: 661 2022/08/26 20:45:37 - mmengine - INFO - Epoch(val) [500][140/500] eta: 0:00:07 time: 0.0209 data_time: 0.0017 memory: 661 2022/08/26 20:45:37 - mmengine - INFO - Epoch(val) [500][145/500] eta: 0:00:07 time: 0.0217 data_time: 0.0018 memory: 661 2022/08/26 20:45:37 - mmengine - INFO - Epoch(val) [500][150/500] eta: 0:00:07 time: 0.0220 data_time: 0.0018 memory: 661 2022/08/26 20:45:37 - mmengine - INFO - Epoch(val) [500][155/500] eta: 0:00:07 time: 0.0251 data_time: 0.0017 memory: 661 2022/08/26 20:45:37 - mmengine - INFO - Epoch(val) [500][160/500] eta: 0:00:08 time: 0.0248 data_time: 0.0016 memory: 661 2022/08/26 20:45:37 - mmengine - INFO - Epoch(val) [500][165/500] eta: 0:00:08 time: 0.0225 data_time: 0.0016 memory: 661 2022/08/26 20:45:37 - mmengine - INFO - Epoch(val) [500][170/500] eta: 0:00:07 time: 0.0230 data_time: 0.0017 memory: 661 2022/08/26 20:45:38 - mmengine - INFO - Epoch(val) [500][175/500] eta: 0:00:07 time: 0.0207 data_time: 0.0017 memory: 661 2022/08/26 20:45:38 - mmengine - INFO - Epoch(val) [500][180/500] eta: 0:00:06 time: 0.0207 data_time: 0.0018 memory: 661 2022/08/26 20:45:38 - mmengine - INFO - Epoch(val) [500][185/500] eta: 0:00:06 time: 0.0225 data_time: 0.0017 memory: 661 2022/08/26 20:45:38 - mmengine - INFO - Epoch(val) [500][190/500] eta: 0:00:06 time: 0.0223 data_time: 0.0015 memory: 661 2022/08/26 20:45:38 - mmengine - INFO - Epoch(val) [500][195/500] eta: 0:00:06 time: 0.0204 data_time: 0.0016 memory: 661 2022/08/26 20:45:38 - mmengine - INFO - Epoch(val) [500][200/500] eta: 0:00:07 time: 0.0235 data_time: 0.0017 memory: 661 2022/08/26 20:45:38 - mmengine - INFO - Epoch(val) [500][205/500] eta: 0:00:07 time: 0.0236 data_time: 0.0017 memory: 661 2022/08/26 20:45:38 - mmengine - INFO - Epoch(val) [500][210/500] eta: 0:00:05 time: 0.0193 data_time: 0.0017 memory: 661 2022/08/26 20:45:38 - mmengine - INFO - Epoch(val) [500][215/500] eta: 0:00:05 time: 0.0204 data_time: 0.0017 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][220/500] eta: 0:00:06 time: 0.0215 data_time: 0.0017 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][225/500] eta: 0:00:06 time: 0.0211 data_time: 0.0017 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][230/500] eta: 0:00:05 time: 0.0197 data_time: 0.0017 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][235/500] eta: 0:00:05 time: 0.0212 data_time: 0.0024 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][240/500] eta: 0:00:05 time: 0.0229 data_time: 0.0024 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][245/500] eta: 0:00:05 time: 0.0210 data_time: 0.0017 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][250/500] eta: 0:00:05 time: 0.0215 data_time: 0.0016 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][255/500] eta: 0:00:05 time: 0.0216 data_time: 0.0016 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][260/500] eta: 0:00:04 time: 0.0202 data_time: 0.0017 memory: 661 2022/08/26 20:45:39 - mmengine - INFO - Epoch(val) [500][265/500] eta: 0:00:04 time: 0.0204 data_time: 0.0017 memory: 661 2022/08/26 20:45:40 - mmengine - INFO - Epoch(val) [500][270/500] eta: 0:00:04 time: 0.0210 data_time: 0.0017 memory: 661 2022/08/26 20:45:40 - mmengine - INFO - Epoch(val) [500][275/500] eta: 0:00:04 time: 0.0204 data_time: 0.0016 memory: 661 2022/08/26 20:45:40 - mmengine - INFO - Epoch(val) [500][280/500] eta: 0:00:04 time: 0.0218 data_time: 0.0017 memory: 661 2022/08/26 20:45:40 - mmengine - INFO - Epoch(val) [500][285/500] eta: 0:00:04 time: 0.0219 data_time: 0.0018 memory: 661 2022/08/26 20:45:40 - mmengine - INFO - Epoch(val) [500][290/500] eta: 0:00:05 time: 0.0243 data_time: 0.0018 memory: 661 2022/08/26 20:45:40 - mmengine - INFO - Epoch(val) [500][295/500] eta: 0:00:05 time: 0.0251 data_time: 0.0018 memory: 661 2022/08/26 20:45:40 - mmengine - INFO - Epoch(val) [500][300/500] eta: 0:00:04 time: 0.0211 data_time: 0.0017 memory: 661 2022/08/26 20:45:40 - mmengine - INFO - Epoch(val) [500][305/500] eta: 0:00:04 time: 0.0209 data_time: 0.0018 memory: 661 2022/08/26 20:45:40 - mmengine - INFO - Epoch(val) [500][310/500] eta: 0:00:03 time: 0.0208 data_time: 0.0017 memory: 661 2022/08/26 20:45:41 - mmengine - INFO - Epoch(val) [500][315/500] eta: 0:00:03 time: 0.0227 data_time: 0.0017 memory: 661 2022/08/26 20:45:41 - mmengine - INFO - Epoch(val) [500][320/500] eta: 0:00:04 time: 0.0225 data_time: 0.0017 memory: 661 2022/08/26 20:45:41 - mmengine - INFO - Epoch(val) [500][325/500] eta: 0:00:04 time: 0.0300 data_time: 0.0016 memory: 661 2022/08/26 20:45:41 - mmengine - INFO - Epoch(val) [500][330/500] eta: 0:00:05 time: 0.0300 data_time: 0.0017 memory: 661 2022/08/26 20:45:41 - mmengine - INFO - Epoch(val) [500][335/500] eta: 0:00:05 time: 0.0211 data_time: 0.0019 memory: 661 2022/08/26 20:45:41 - mmengine - INFO - Epoch(val) [500][340/500] eta: 0:00:04 time: 0.0254 data_time: 0.0020 memory: 661 2022/08/26 20:45:41 - mmengine - INFO - Epoch(val) [500][345/500] eta: 0:00:04 time: 0.0327 data_time: 0.0019 memory: 661 2022/08/26 20:45:42 - mmengine - INFO - Epoch(val) [500][350/500] eta: 0:00:04 time: 0.0320 data_time: 0.0020 memory: 661 2022/08/26 20:45:42 - mmengine - INFO - Epoch(val) [500][355/500] eta: 0:00:04 time: 0.0240 data_time: 0.0020 memory: 661 2022/08/26 20:45:42 - mmengine - INFO - Epoch(val) [500][360/500] eta: 0:00:02 time: 0.0211 data_time: 0.0019 memory: 661 2022/08/26 20:45:42 - mmengine - INFO - Epoch(val) [500][365/500] eta: 0:00:02 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 20:45:42 - mmengine - INFO - Epoch(val) [500][370/500] eta: 0:00:02 time: 0.0201 data_time: 0.0019 memory: 661 2022/08/26 20:45:42 - mmengine - INFO - Epoch(val) [500][375/500] eta: 0:00:02 time: 0.0193 data_time: 0.0019 memory: 661 2022/08/26 20:45:42 - mmengine - INFO - Epoch(val) [500][380/500] eta: 0:00:02 time: 0.0221 data_time: 0.0018 memory: 661 2022/08/26 20:45:42 - mmengine - INFO - Epoch(val) [500][385/500] eta: 0:00:02 time: 0.0228 data_time: 0.0017 memory: 661 2022/08/26 20:45:42 - mmengine - INFO - Epoch(val) [500][390/500] eta: 0:00:02 time: 0.0214 data_time: 0.0019 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][395/500] eta: 0:00:02 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][400/500] eta: 0:00:02 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][405/500] eta: 0:00:02 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][410/500] eta: 0:00:02 time: 0.0238 data_time: 0.0026 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][415/500] eta: 0:00:02 time: 0.0238 data_time: 0.0024 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][420/500] eta: 0:00:01 time: 0.0202 data_time: 0.0020 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][425/500] eta: 0:00:01 time: 0.0191 data_time: 0.0018 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][430/500] eta: 0:00:01 time: 0.0202 data_time: 0.0016 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][435/500] eta: 0:00:01 time: 0.0198 data_time: 0.0016 memory: 661 2022/08/26 20:45:43 - mmengine - INFO - Epoch(val) [500][440/500] eta: 0:00:01 time: 0.0201 data_time: 0.0016 memory: 661 2022/08/26 20:45:44 - mmengine - INFO - Epoch(val) [500][445/500] eta: 0:00:01 time: 0.0219 data_time: 0.0016 memory: 661 2022/08/26 20:45:44 - mmengine - INFO - Epoch(val) [500][450/500] eta: 0:00:01 time: 0.0223 data_time: 0.0017 memory: 661 2022/08/26 20:45:44 - mmengine - INFO - Epoch(val) [500][455/500] eta: 0:00:01 time: 0.0212 data_time: 0.0017 memory: 661 2022/08/26 20:45:44 - mmengine - INFO - Epoch(val) [500][460/500] eta: 0:00:00 time: 0.0199 data_time: 0.0018 memory: 661 2022/08/26 20:45:44 - mmengine - INFO - Epoch(val) [500][465/500] eta: 0:00:00 time: 0.0197 data_time: 0.0019 memory: 661 2022/08/26 20:45:44 - mmengine - INFO - Epoch(val) [500][470/500] eta: 0:00:00 time: 0.0207 data_time: 0.0021 memory: 661 2022/08/26 20:45:44 - mmengine - INFO - Epoch(val) [500][475/500] eta: 0:00:00 time: 0.0205 data_time: 0.0022 memory: 661 2022/08/26 20:45:44 - mmengine - INFO - Epoch(val) [500][480/500] eta: 0:00:00 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 20:45:44 - mmengine - INFO - Epoch(val) [500][485/500] eta: 0:00:00 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 20:45:45 - mmengine - INFO - Epoch(val) [500][490/500] eta: 0:00:00 time: 0.0224 data_time: 0.0018 memory: 661 2022/08/26 20:45:45 - mmengine - INFO - Epoch(val) [500][495/500] eta: 0:00:00 time: 0.0229 data_time: 0.0018 memory: 661 2022/08/26 20:45:45 - mmengine - INFO - Epoch(val) [500][500/500] eta: 0:00:00 time: 0.0227 data_time: 0.0020 memory: 661 2022/08/26 20:45:45 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7371, precision: 0.7760, hmean: 0.7560 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7371, precision: 0.7760, hmean: 0.7560 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7371, precision: 0.7760, hmean: 0.7560 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7371, precision: 0.7760, hmean: 0.7560 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7371, precision: 0.7760, hmean: 0.7560 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7371, precision: 0.7760, hmean: 0.7560 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7371, precision: 0.7791, hmean: 0.7575 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7371, precision: 0.7835, hmean: 0.7596 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7366, precision: 0.7911, hmean: 0.7629 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7338, precision: 0.8013, hmean: 0.7660 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7304, precision: 0.8112, hmean: 0.7687 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7241, precision: 0.8323, hmean: 0.7745 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6986, precision: 0.8576, hmean: 0.7700 2022/08/26 20:45:45 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4343, precision: 0.8922, hmean: 0.5842 2022/08/26 20:45:45 - mmengine - INFO - Epoch(val) [500][500/500] icdar/precision: 0.8323 icdar/recall: 0.7241 icdar/hmean: 0.7745 2022/08/26 20:46:01 - mmengine - INFO - Epoch(train) [501][5/16] lr: 1.9787e-04 eta: 0:00:00 time: 2.5927 data_time: 0.5118 memory: 63381 loss_text: 0.2033 loss_kernel: 0.1115 loss_embedding: 0.0064 loss: 0.3212 2022/08/26 20:46:12 - mmengine - INFO - Epoch(train) [501][10/16] lr: 1.9787e-04 eta: 0:47:09 time: 2.7219 data_time: 0.5459 memory: 63381 loss_text: 0.1928 loss_kernel: 0.1076 loss_embedding: 0.0065 loss: 0.3069 2022/08/26 20:46:23 - mmengine - INFO - Epoch(train) [501][15/16] lr: 1.9787e-04 eta: 0:47:09 time: 2.2387 data_time: 0.0733 memory: 63381 loss_text: 0.1853 loss_kernel: 0.1037 loss_embedding: 0.0063 loss: 0.2953 2022/08/26 20:46:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:46:40 - mmengine - INFO - Epoch(train) [502][5/16] lr: 1.9607e-04 eta: 0:47:09 time: 2.5779 data_time: 0.5038 memory: 63381 loss_text: 0.1713 loss_kernel: 0.0980 loss_embedding: 0.0069 loss: 0.2763 2022/08/26 20:46:52 - mmengine - INFO - Epoch(train) [502][10/16] lr: 1.9607e-04 eta: 0:46:41 time: 2.7394 data_time: 0.5482 memory: 63381 loss_text: 0.1822 loss_kernel: 0.1029 loss_embedding: 0.0069 loss: 0.2919 2022/08/26 20:47:03 - mmengine - INFO - Epoch(train) [502][15/16] lr: 1.9607e-04 eta: 0:46:41 time: 2.2605 data_time: 0.0891 memory: 63381 loss_text: 0.2136 loss_kernel: 0.1152 loss_embedding: 0.0059 loss: 0.3347 2022/08/26 20:47:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:47:20 - mmengine - INFO - Epoch(train) [503][5/16] lr: 1.9427e-04 eta: 0:46:41 time: 2.5732 data_time: 0.5407 memory: 63381 loss_text: 0.2065 loss_kernel: 0.1109 loss_embedding: 0.0059 loss: 0.3233 2022/08/26 20:47:33 - mmengine - INFO - Epoch(train) [503][10/16] lr: 1.9427e-04 eta: 0:46:12 time: 2.8259 data_time: 0.5974 memory: 63381 loss_text: 0.1893 loss_kernel: 0.1021 loss_embedding: 0.0066 loss: 0.2980 2022/08/26 20:47:44 - mmengine - INFO - Epoch(train) [503][15/16] lr: 1.9427e-04 eta: 0:46:12 time: 2.4231 data_time: 0.1090 memory: 63381 loss_text: 0.1908 loss_kernel: 0.1041 loss_embedding: 0.0069 loss: 0.3018 2022/08/26 20:47:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:48:02 - mmengine - INFO - Epoch(train) [504][5/16] lr: 1.9247e-04 eta: 0:46:12 time: 2.6714 data_time: 0.5138 memory: 63381 loss_text: 0.1822 loss_kernel: 0.0996 loss_embedding: 0.0072 loss: 0.2890 2022/08/26 20:48:13 - mmengine - INFO - Epoch(train) [504][10/16] lr: 1.9247e-04 eta: 0:45:43 time: 2.7206 data_time: 0.5531 memory: 63381 loss_text: 0.1861 loss_kernel: 0.1002 loss_embedding: 0.0073 loss: 0.2936 2022/08/26 20:48:24 - mmengine - INFO - Epoch(train) [504][15/16] lr: 1.9247e-04 eta: 0:45:43 time: 2.1920 data_time: 0.0791 memory: 63381 loss_text: 0.2007 loss_kernel: 0.1082 loss_embedding: 0.0077 loss: 0.3166 2022/08/26 20:48:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:48:40 - mmengine - INFO - Epoch(train) [505][5/16] lr: 1.9066e-04 eta: 0:45:43 time: 2.5178 data_time: 0.5234 memory: 63381 loss_text: 0.2254 loss_kernel: 0.1205 loss_embedding: 0.0073 loss: 0.3533 2022/08/26 20:48:52 - mmengine - INFO - Epoch(train) [505][10/16] lr: 1.9066e-04 eta: 0:45:15 time: 2.7525 data_time: 0.5716 memory: 63381 loss_text: 0.1886 loss_kernel: 0.1051 loss_embedding: 0.0076 loss: 0.3013 2022/08/26 20:49:04 - mmengine - INFO - Epoch(train) [505][15/16] lr: 1.9066e-04 eta: 0:45:15 time: 2.3645 data_time: 0.0965 memory: 63381 loss_text: 0.1534 loss_kernel: 0.0892 loss_embedding: 0.0082 loss: 0.2509 2022/08/26 20:49:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:49:21 - mmengine - INFO - Epoch(train) [506][5/16] lr: 1.8886e-04 eta: 0:45:15 time: 2.5951 data_time: 0.5057 memory: 63381 loss_text: 0.1659 loss_kernel: 0.0937 loss_embedding: 0.0069 loss: 0.2664 2022/08/26 20:49:32 - mmengine - INFO - Epoch(train) [506][10/16] lr: 1.8886e-04 eta: 0:44:46 time: 2.7069 data_time: 0.5503 memory: 63381 loss_text: 0.1929 loss_kernel: 0.1072 loss_embedding: 0.0057 loss: 0.3057 2022/08/26 20:49:43 - mmengine - INFO - Epoch(train) [506][15/16] lr: 1.8886e-04 eta: 0:44:46 time: 2.2852 data_time: 0.0801 memory: 63381 loss_text: 0.1876 loss_kernel: 0.1041 loss_embedding: 0.0058 loss: 0.2976 2022/08/26 20:49:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:50:00 - mmengine - INFO - Epoch(train) [507][5/16] lr: 1.8705e-04 eta: 0:44:46 time: 2.5791 data_time: 0.4927 memory: 63381 loss_text: 0.1814 loss_kernel: 0.1012 loss_embedding: 0.0066 loss: 0.2893 2022/08/26 20:50:12 - mmengine - INFO - Epoch(train) [507][10/16] lr: 1.8705e-04 eta: 0:44:17 time: 2.7297 data_time: 0.5338 memory: 63381 loss_text: 0.1931 loss_kernel: 0.1057 loss_embedding: 0.0082 loss: 0.3069 2022/08/26 20:50:24 - mmengine - INFO - Epoch(train) [507][15/16] lr: 1.8705e-04 eta: 0:44:17 time: 2.3755 data_time: 0.0887 memory: 63381 loss_text: 0.1936 loss_kernel: 0.1047 loss_embedding: 0.0077 loss: 0.3060 2022/08/26 20:50:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:50:41 - mmengine - INFO - Epoch(train) [508][5/16] lr: 1.8524e-04 eta: 0:44:17 time: 2.6150 data_time: 0.4863 memory: 63381 loss_text: 0.2081 loss_kernel: 0.1134 loss_embedding: 0.0069 loss: 0.3284 2022/08/26 20:50:52 - mmengine - INFO - Epoch(train) [508][10/16] lr: 1.8524e-04 eta: 0:43:49 time: 2.6857 data_time: 0.5147 memory: 63381 loss_text: 0.1956 loss_kernel: 0.1068 loss_embedding: 0.0072 loss: 0.3096 2022/08/26 20:51:03 - mmengine - INFO - Epoch(train) [508][15/16] lr: 1.8524e-04 eta: 0:43:49 time: 2.2726 data_time: 0.0851 memory: 63381 loss_text: 0.1990 loss_kernel: 0.1076 loss_embedding: 0.0080 loss: 0.3145 2022/08/26 20:51:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:51:20 - mmengine - INFO - Epoch(train) [509][5/16] lr: 1.8342e-04 eta: 0:43:49 time: 2.5783 data_time: 0.5198 memory: 63381 loss_text: 0.2007 loss_kernel: 0.1093 loss_embedding: 0.0066 loss: 0.3166 2022/08/26 20:51:33 - mmengine - INFO - Epoch(train) [509][10/16] lr: 1.8342e-04 eta: 0:43:20 time: 2.7798 data_time: 0.5323 memory: 63381 loss_text: 0.1732 loss_kernel: 0.0963 loss_embedding: 0.0062 loss: 0.2757 2022/08/26 20:51:44 - mmengine - INFO - Epoch(train) [509][15/16] lr: 1.8342e-04 eta: 0:43:20 time: 2.4238 data_time: 0.1040 memory: 63381 loss_text: 0.1774 loss_kernel: 0.0972 loss_embedding: 0.0060 loss: 0.2806 2022/08/26 20:51:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:52:01 - mmengine - INFO - Epoch(train) [510][5/16] lr: 1.8161e-04 eta: 0:43:20 time: 2.5882 data_time: 0.4824 memory: 63381 loss_text: 0.1999 loss_kernel: 0.1076 loss_embedding: 0.0053 loss: 0.3128 2022/08/26 20:52:13 - mmengine - INFO - Epoch(train) [510][10/16] lr: 1.8161e-04 eta: 0:42:51 time: 2.6706 data_time: 0.5085 memory: 63381 loss_text: 0.1966 loss_kernel: 0.1058 loss_embedding: 0.0055 loss: 0.3079 2022/08/26 20:52:24 - mmengine - INFO - Epoch(train) [510][15/16] lr: 1.8161e-04 eta: 0:42:51 time: 2.3112 data_time: 0.0896 memory: 63381 loss_text: 0.1962 loss_kernel: 0.1058 loss_embedding: 0.0064 loss: 0.3084 2022/08/26 20:52:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:52:42 - mmengine - INFO - Epoch(train) [511][5/16] lr: 1.7979e-04 eta: 0:42:51 time: 2.6710 data_time: 0.4961 memory: 63381 loss_text: 0.2037 loss_kernel: 0.1105 loss_embedding: 0.0068 loss: 0.3211 2022/08/26 20:52:53 - mmengine - INFO - Epoch(train) [511][10/16] lr: 1.7979e-04 eta: 0:42:23 time: 2.7458 data_time: 0.5348 memory: 63381 loss_text: 0.2013 loss_kernel: 0.1080 loss_embedding: 0.0071 loss: 0.3164 2022/08/26 20:53:04 - mmengine - INFO - Epoch(train) [511][15/16] lr: 1.7979e-04 eta: 0:42:23 time: 2.2594 data_time: 0.1020 memory: 63381 loss_text: 0.1964 loss_kernel: 0.1064 loss_embedding: 0.0070 loss: 0.3097 2022/08/26 20:53:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:53:21 - mmengine - INFO - Epoch(train) [512][5/16] lr: 1.7797e-04 eta: 0:42:23 time: 2.6238 data_time: 0.5265 memory: 63381 loss_text: 0.1894 loss_kernel: 0.1039 loss_embedding: 0.0074 loss: 0.3007 2022/08/26 20:53:32 - mmengine - INFO - Epoch(train) [512][10/16] lr: 1.7797e-04 eta: 0:41:54 time: 2.6642 data_time: 0.5321 memory: 63381 loss_text: 0.1954 loss_kernel: 0.1070 loss_embedding: 0.0078 loss: 0.3101 2022/08/26 20:53:44 - mmengine - INFO - Epoch(train) [512][15/16] lr: 1.7797e-04 eta: 0:41:54 time: 2.2609 data_time: 0.0868 memory: 63381 loss_text: 0.1995 loss_kernel: 0.1101 loss_embedding: 0.0085 loss: 0.3180 2022/08/26 20:53:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:54:01 - mmengine - INFO - Epoch(train) [513][5/16] lr: 1.7615e-04 eta: 0:41:54 time: 2.6064 data_time: 0.4596 memory: 63381 loss_text: 0.1654 loss_kernel: 0.0936 loss_embedding: 0.0085 loss: 0.2675 2022/08/26 20:54:13 - mmengine - INFO - Epoch(train) [513][10/16] lr: 1.7615e-04 eta: 0:41:25 time: 2.7347 data_time: 0.5478 memory: 63381 loss_text: 0.1828 loss_kernel: 0.1013 loss_embedding: 0.0069 loss: 0.2911 2022/08/26 20:54:24 - mmengine - INFO - Epoch(train) [513][15/16] lr: 1.7615e-04 eta: 0:41:25 time: 2.3761 data_time: 0.1792 memory: 63381 loss_text: 0.2034 loss_kernel: 0.1106 loss_embedding: 0.0058 loss: 0.3199 2022/08/26 20:54:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:54:41 - mmengine - INFO - Epoch(train) [514][5/16] lr: 1.7433e-04 eta: 0:41:25 time: 2.5929 data_time: 0.4967 memory: 63381 loss_text: 0.1801 loss_kernel: 0.0998 loss_embedding: 0.0059 loss: 0.2858 2022/08/26 20:54:53 - mmengine - INFO - Epoch(train) [514][10/16] lr: 1.7433e-04 eta: 0:40:57 time: 2.7259 data_time: 0.5404 memory: 63381 loss_text: 0.1815 loss_kernel: 0.1003 loss_embedding: 0.0065 loss: 0.2882 2022/08/26 20:55:04 - mmengine - INFO - Epoch(train) [514][15/16] lr: 1.7433e-04 eta: 0:40:57 time: 2.3012 data_time: 0.1316 memory: 63381 loss_text: 0.1976 loss_kernel: 0.1070 loss_embedding: 0.0069 loss: 0.3114 2022/08/26 20:55:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:55:24 - mmengine - INFO - Epoch(train) [515][5/16] lr: 1.7250e-04 eta: 0:40:57 time: 2.7687 data_time: 0.5453 memory: 63381 loss_text: 0.1876 loss_kernel: 0.1029 loss_embedding: 0.0071 loss: 0.2977 2022/08/26 20:55:45 - mmengine - INFO - Epoch(train) [515][10/16] lr: 1.7250e-04 eta: 0:40:30 time: 3.8489 data_time: 0.6687 memory: 63381 loss_text: 0.1963 loss_kernel: 0.1064 loss_embedding: 0.0067 loss: 0.3094 2022/08/26 20:56:09 - mmengine - INFO - Epoch(train) [515][15/16] lr: 1.7250e-04 eta: 0:40:30 time: 4.4730 data_time: 0.2074 memory: 63381 loss_text: 0.2024 loss_kernel: 0.1096 loss_embedding: 0.0066 loss: 0.3185 2022/08/26 20:56:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:56:44 - mmengine - INFO - Epoch(train) [516][5/16] lr: 1.7067e-04 eta: 0:40:30 time: 4.9252 data_time: 0.9168 memory: 63381 loss_text: 0.1951 loss_kernel: 0.1063 loss_embedding: 0.0083 loss: 0.3096 2022/08/26 20:57:04 - mmengine - INFO - Epoch(train) [516][10/16] lr: 1.7067e-04 eta: 0:40:05 time: 5.0191 data_time: 0.9429 memory: 63381 loss_text: 0.1885 loss_kernel: 0.1029 loss_embedding: 0.0084 loss: 0.2998 2022/08/26 20:57:32 - mmengine - INFO - Epoch(train) [516][15/16] lr: 1.7067e-04 eta: 0:40:05 time: 4.8126 data_time: 0.2007 memory: 63381 loss_text: 0.1827 loss_kernel: 0.1013 loss_embedding: 0.0078 loss: 0.2918 2022/08/26 20:57:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:58:04 - mmengine - INFO - Epoch(train) [517][5/16] lr: 1.6884e-04 eta: 0:40:05 time: 5.2654 data_time: 0.8163 memory: 63381 loss_text: 0.1800 loss_kernel: 0.0997 loss_embedding: 0.0076 loss: 0.2873 2022/08/26 20:58:25 - mmengine - INFO - Epoch(train) [517][10/16] lr: 1.6884e-04 eta: 0:39:40 time: 4.9482 data_time: 0.8212 memory: 63381 loss_text: 0.1912 loss_kernel: 0.1063 loss_embedding: 0.0076 loss: 0.3051 2022/08/26 20:58:56 - mmengine - INFO - Epoch(train) [517][15/16] lr: 1.6884e-04 eta: 0:39:40 time: 5.2373 data_time: 0.1688 memory: 63381 loss_text: 0.1854 loss_kernel: 0.1047 loss_embedding: 0.0069 loss: 0.2970 2022/08/26 20:59:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 20:59:33 - mmengine - INFO - Epoch(train) [518][5/16] lr: 1.6701e-04 eta: 0:39:40 time: 5.9794 data_time: 0.8684 memory: 63381 loss_text: 0.1910 loss_kernel: 0.1052 loss_embedding: 0.0061 loss: 0.3023 2022/08/26 21:00:01 - mmengine - INFO - Epoch(train) [518][10/16] lr: 1.6701e-04 eta: 0:39:16 time: 5.7534 data_time: 0.9388 memory: 63381 loss_text: 0.1657 loss_kernel: 0.0926 loss_embedding: 0.0064 loss: 0.2648 2022/08/26 21:00:36 - mmengine - INFO - Epoch(train) [518][15/16] lr: 1.6701e-04 eta: 0:39:16 time: 6.3173 data_time: 0.3186 memory: 63381 loss_text: 0.1712 loss_kernel: 0.0938 loss_embedding: 0.0067 loss: 0.2717 2022/08/26 21:00:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:01:22 - mmengine - INFO - Epoch(train) [519][5/16] lr: 1.6518e-04 eta: 0:39:16 time: 7.0125 data_time: 0.8616 memory: 63381 loss_text: 0.2043 loss_kernel: 0.1109 loss_embedding: 0.0067 loss: 0.3219 2022/08/26 21:01:52 - mmengine - INFO - Epoch(train) [519][10/16] lr: 1.6518e-04 eta: 0:38:54 time: 7.2389 data_time: 0.9378 memory: 63381 loss_text: 0.1910 loss_kernel: 0.1045 loss_embedding: 0.0071 loss: 0.3026 2022/08/26 21:02:15 - mmengine - INFO - Epoch(train) [519][15/16] lr: 1.6518e-04 eta: 0:38:54 time: 5.3366 data_time: 0.2318 memory: 63381 loss_text: 0.1937 loss_kernel: 0.1052 loss_embedding: 0.0067 loss: 0.3056 2022/08/26 21:02:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:02:52 - mmengine - INFO - Epoch(train) [520][5/16] lr: 1.6334e-04 eta: 0:38:54 time: 5.2001 data_time: 0.8884 memory: 63381 loss_text: 0.2029 loss_kernel: 0.1108 loss_embedding: 0.0060 loss: 0.3197 2022/08/26 21:03:18 - mmengine - INFO - Epoch(train) [520][10/16] lr: 1.6334e-04 eta: 0:38:30 time: 5.8896 data_time: 0.9621 memory: 63381 loss_text: 0.1829 loss_kernel: 0.1007 loss_embedding: 0.0055 loss: 0.2891 2022/08/26 21:03:42 - mmengine - INFO - Epoch(train) [520][15/16] lr: 1.6334e-04 eta: 0:38:30 time: 5.0640 data_time: 0.2855 memory: 63381 loss_text: 0.1886 loss_kernel: 0.1012 loss_embedding: 0.0062 loss: 0.2960 2022/08/26 21:03:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:03:44 - mmengine - INFO - Saving checkpoint at 520 epochs 2022/08/26 21:03:50 - mmengine - INFO - Epoch(val) [520][5/500] eta: 0:38:30 time: 0.2527 data_time: 0.0773 memory: 39748 2022/08/26 21:03:51 - mmengine - INFO - Epoch(val) [520][10/500] eta: 0:02:04 time: 0.2536 data_time: 0.0775 memory: 661 2022/08/26 21:03:51 - mmengine - INFO - Epoch(val) [520][15/500] eta: 0:02:04 time: 0.0235 data_time: 0.0024 memory: 661 2022/08/26 21:03:51 - mmengine - INFO - Epoch(val) [520][20/500] eta: 0:00:12 time: 0.0262 data_time: 0.0043 memory: 661 2022/08/26 21:03:51 - mmengine - INFO - Epoch(val) [520][25/500] eta: 0:00:12 time: 0.0259 data_time: 0.0042 memory: 661 2022/08/26 21:03:51 - mmengine - INFO - Epoch(val) [520][30/500] eta: 0:00:11 time: 0.0243 data_time: 0.0021 memory: 661 2022/08/26 21:03:51 - mmengine - INFO - Epoch(val) [520][35/500] eta: 0:00:11 time: 0.0246 data_time: 0.0021 memory: 661 2022/08/26 21:03:51 - mmengine - INFO - Epoch(val) [520][40/500] eta: 0:00:11 time: 0.0251 data_time: 0.0021 memory: 661 2022/08/26 21:03:51 - mmengine - INFO - Epoch(val) [520][45/500] eta: 0:00:11 time: 0.0258 data_time: 0.0021 memory: 661 2022/08/26 21:03:52 - mmengine - INFO - Epoch(val) [520][50/500] eta: 0:00:10 time: 0.0240 data_time: 0.0024 memory: 661 2022/08/26 21:03:52 - mmengine - INFO - Epoch(val) [520][55/500] eta: 0:00:10 time: 0.0253 data_time: 0.0025 memory: 661 2022/08/26 21:03:52 - mmengine - INFO - Epoch(val) [520][60/500] eta: 0:00:10 time: 0.0236 data_time: 0.0022 memory: 661 2022/08/26 21:03:52 - mmengine - INFO - Epoch(val) [520][65/500] eta: 0:00:10 time: 0.0244 data_time: 0.0023 memory: 661 2022/08/26 21:03:52 - mmengine - INFO - Epoch(val) [520][70/500] eta: 0:00:11 time: 0.0262 data_time: 0.0023 memory: 661 2022/08/26 21:03:52 - mmengine - INFO - Epoch(val) [520][75/500] eta: 0:00:11 time: 0.0235 data_time: 0.0024 memory: 661 2022/08/26 21:03:52 - mmengine - INFO - Epoch(val) [520][80/500] eta: 0:00:09 time: 0.0215 data_time: 0.0025 memory: 661 2022/08/26 21:03:52 - mmengine - INFO - Epoch(val) [520][85/500] eta: 0:00:09 time: 0.0206 data_time: 0.0026 memory: 661 2022/08/26 21:03:53 - mmengine - INFO - Epoch(val) [520][90/500] eta: 0:00:09 time: 0.0239 data_time: 0.0026 memory: 661 2022/08/26 21:03:53 - mmengine - INFO - Epoch(val) [520][95/500] eta: 0:00:09 time: 0.0257 data_time: 0.0025 memory: 661 2022/08/26 21:03:53 - mmengine - INFO - Epoch(val) [520][100/500] eta: 0:00:09 time: 0.0233 data_time: 0.0024 memory: 661 2022/08/26 21:03:53 - mmengine - INFO - Epoch(val) [520][105/500] eta: 0:00:09 time: 0.0227 data_time: 0.0024 memory: 661 2022/08/26 21:03:53 - mmengine - INFO - Epoch(val) [520][110/500] eta: 0:00:11 time: 0.0285 data_time: 0.0085 memory: 661 2022/08/26 21:03:53 - mmengine - INFO - Epoch(val) [520][115/500] eta: 0:00:11 time: 0.0290 data_time: 0.0085 memory: 661 2022/08/26 21:03:53 - mmengine - INFO - Epoch(val) [520][120/500] eta: 0:00:08 time: 0.0234 data_time: 0.0026 memory: 661 2022/08/26 21:03:53 - mmengine - INFO - Epoch(val) [520][125/500] eta: 0:00:08 time: 0.0230 data_time: 0.0025 memory: 661 2022/08/26 21:03:54 - mmengine - INFO - Epoch(val) [520][130/500] eta: 0:00:08 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 21:03:54 - mmengine - INFO - Epoch(val) [520][135/500] eta: 0:00:08 time: 0.0224 data_time: 0.0024 memory: 661 2022/08/26 21:03:54 - mmengine - INFO - Epoch(val) [520][140/500] eta: 0:00:13 time: 0.0371 data_time: 0.0169 memory: 661 2022/08/26 21:03:54 - mmengine - INFO - Epoch(val) [520][145/500] eta: 0:00:13 time: 0.0372 data_time: 0.0163 memory: 661 2022/08/26 21:03:54 - mmengine - INFO - Epoch(val) [520][150/500] eta: 0:00:08 time: 0.0230 data_time: 0.0016 memory: 661 2022/08/26 21:03:54 - mmengine - INFO - Epoch(val) [520][155/500] eta: 0:00:08 time: 0.0275 data_time: 0.0021 memory: 661 2022/08/26 21:03:54 - mmengine - INFO - Epoch(val) [520][160/500] eta: 0:00:09 time: 0.0275 data_time: 0.0022 memory: 661 2022/08/26 21:03:55 - mmengine - INFO - Epoch(val) [520][165/500] eta: 0:00:09 time: 0.0251 data_time: 0.0024 memory: 661 2022/08/26 21:03:55 - mmengine - INFO - Epoch(val) [520][170/500] eta: 0:00:08 time: 0.0254 data_time: 0.0024 memory: 661 2022/08/26 21:03:55 - mmengine - INFO - Epoch(val) [520][175/500] eta: 0:00:08 time: 0.0228 data_time: 0.0023 memory: 661 2022/08/26 21:03:55 - mmengine - INFO - Epoch(val) [520][180/500] eta: 0:00:07 time: 0.0225 data_time: 0.0024 memory: 661 2022/08/26 21:03:55 - mmengine - INFO - Epoch(val) [520][185/500] eta: 0:00:07 time: 0.0247 data_time: 0.0023 memory: 661 2022/08/26 21:03:55 - mmengine - INFO - Epoch(val) [520][190/500] eta: 0:00:07 time: 0.0254 data_time: 0.0022 memory: 661 2022/08/26 21:03:55 - mmengine - INFO - Epoch(val) [520][195/500] eta: 0:00:07 time: 0.0233 data_time: 0.0023 memory: 661 2022/08/26 21:03:55 - mmengine - INFO - Epoch(val) [520][200/500] eta: 0:00:07 time: 0.0255 data_time: 0.0022 memory: 661 2022/08/26 21:03:56 - mmengine - INFO - Epoch(val) [520][205/500] eta: 0:00:07 time: 0.0251 data_time: 0.0021 memory: 661 2022/08/26 21:03:56 - mmengine - INFO - Epoch(val) [520][210/500] eta: 0:00:06 time: 0.0210 data_time: 0.0022 memory: 661 2022/08/26 21:03:56 - mmengine - INFO - Epoch(val) [520][215/500] eta: 0:00:06 time: 0.0220 data_time: 0.0022 memory: 661 2022/08/26 21:03:56 - mmengine - INFO - Epoch(val) [520][220/500] eta: 0:00:06 time: 0.0233 data_time: 0.0021 memory: 661 2022/08/26 21:03:56 - mmengine - INFO - Epoch(val) [520][225/500] eta: 0:00:06 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 21:03:56 - mmengine - INFO - Epoch(val) [520][230/500] eta: 0:00:07 time: 0.0264 data_time: 0.0062 memory: 661 2022/08/26 21:03:56 - mmengine - INFO - Epoch(val) [520][235/500] eta: 0:00:07 time: 0.0265 data_time: 0.0062 memory: 661 2022/08/26 21:03:56 - mmengine - INFO - Epoch(val) [520][240/500] eta: 0:00:06 time: 0.0248 data_time: 0.0024 memory: 661 2022/08/26 21:03:56 - mmengine - INFO - Epoch(val) [520][245/500] eta: 0:00:06 time: 0.0234 data_time: 0.0023 memory: 661 2022/08/26 21:03:57 - mmengine - INFO - Epoch(val) [520][250/500] eta: 0:00:06 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 21:03:57 - mmengine - INFO - Epoch(val) [520][255/500] eta: 0:00:06 time: 0.0269 data_time: 0.0027 memory: 661 2022/08/26 21:03:57 - mmengine - INFO - Epoch(val) [520][260/500] eta: 0:00:06 time: 0.0262 data_time: 0.0031 memory: 661 2022/08/26 21:03:57 - mmengine - INFO - Epoch(val) [520][265/500] eta: 0:00:06 time: 0.0243 data_time: 0.0027 memory: 661 2022/08/26 21:03:57 - mmengine - INFO - Epoch(val) [520][270/500] eta: 0:00:05 time: 0.0246 data_time: 0.0026 memory: 661 2022/08/26 21:03:57 - mmengine - INFO - Epoch(val) [520][275/500] eta: 0:00:05 time: 0.0241 data_time: 0.0025 memory: 661 2022/08/26 21:03:57 - mmengine - INFO - Epoch(val) [520][280/500] eta: 0:00:05 time: 0.0248 data_time: 0.0024 memory: 661 2022/08/26 21:03:57 - mmengine - INFO - Epoch(val) [520][285/500] eta: 0:00:05 time: 0.0243 data_time: 0.0024 memory: 661 2022/08/26 21:03:58 - mmengine - INFO - Epoch(val) [520][290/500] eta: 0:00:05 time: 0.0242 data_time: 0.0024 memory: 661 2022/08/26 21:03:58 - mmengine - INFO - Epoch(val) [520][295/500] eta: 0:00:05 time: 0.0252 data_time: 0.0024 memory: 661 2022/08/26 21:03:58 - mmengine - INFO - Epoch(val) [520][300/500] eta: 0:00:06 time: 0.0303 data_time: 0.0049 memory: 661 2022/08/26 21:03:58 - mmengine - INFO - Epoch(val) [520][305/500] eta: 0:00:06 time: 0.0298 data_time: 0.0049 memory: 661 2022/08/26 21:03:58 - mmengine - INFO - Epoch(val) [520][310/500] eta: 0:00:04 time: 0.0237 data_time: 0.0032 memory: 661 2022/08/26 21:03:58 - mmengine - INFO - Epoch(val) [520][315/500] eta: 0:00:04 time: 0.0440 data_time: 0.0058 memory: 661 2022/08/26 21:03:59 - mmengine - INFO - Epoch(val) [520][320/500] eta: 0:00:07 time: 0.0426 data_time: 0.0049 memory: 661 2022/08/26 21:04:00 - mmengine - INFO - Epoch(val) [520][325/500] eta: 0:00:07 time: 0.1295 data_time: 0.0868 memory: 661 2022/08/26 21:04:04 - mmengine - INFO - Epoch(val) [520][330/500] eta: 0:01:38 time: 0.5800 data_time: 0.1406 memory: 661 2022/08/26 21:04:05 - mmengine - INFO - Epoch(val) [520][335/500] eta: 0:01:38 time: 0.4830 data_time: 0.0660 memory: 661 2022/08/26 21:04:05 - mmengine - INFO - Epoch(val) [520][340/500] eta: 0:00:05 time: 0.0368 data_time: 0.0124 memory: 661 2022/08/26 21:04:05 - mmengine - INFO - Epoch(val) [520][345/500] eta: 0:00:05 time: 0.0265 data_time: 0.0025 memory: 661 2022/08/26 21:04:05 - mmengine - INFO - Epoch(val) [520][350/500] eta: 0:00:03 time: 0.0259 data_time: 0.0023 memory: 661 2022/08/26 21:04:05 - mmengine - INFO - Epoch(val) [520][355/500] eta: 0:00:03 time: 0.0251 data_time: 0.0022 memory: 661 2022/08/26 21:04:05 - mmengine - INFO - Epoch(val) [520][360/500] eta: 0:00:03 time: 0.0233 data_time: 0.0034 memory: 661 2022/08/26 21:04:05 - mmengine - INFO - Epoch(val) [520][365/500] eta: 0:00:03 time: 0.0240 data_time: 0.0034 memory: 661 2022/08/26 21:04:05 - mmengine - INFO - Epoch(val) [520][370/500] eta: 0:00:02 time: 0.0208 data_time: 0.0021 memory: 661 2022/08/26 21:04:06 - mmengine - INFO - Epoch(val) [520][375/500] eta: 0:00:02 time: 0.0198 data_time: 0.0021 memory: 661 2022/08/26 21:04:06 - mmengine - INFO - Epoch(val) [520][380/500] eta: 0:00:02 time: 0.0247 data_time: 0.0022 memory: 661 2022/08/26 21:04:06 - mmengine - INFO - Epoch(val) [520][385/500] eta: 0:00:02 time: 0.0257 data_time: 0.0021 memory: 661 2022/08/26 21:04:06 - mmengine - INFO - Epoch(val) [520][390/500] eta: 0:00:02 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 21:04:06 - mmengine - INFO - Epoch(val) [520][395/500] eta: 0:00:02 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 21:04:06 - mmengine - INFO - Epoch(val) [520][400/500] eta: 0:00:02 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 21:04:06 - mmengine - INFO - Epoch(val) [520][405/500] eta: 0:00:02 time: 0.0219 data_time: 0.0021 memory: 661 2022/08/26 21:04:06 - mmengine - INFO - Epoch(val) [520][410/500] eta: 0:00:02 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 21:04:07 - mmengine - INFO - Epoch(val) [520][415/500] eta: 0:00:02 time: 0.0239 data_time: 0.0021 memory: 661 2022/08/26 21:04:07 - mmengine - INFO - Epoch(val) [520][420/500] eta: 0:00:02 time: 0.0250 data_time: 0.0061 memory: 661 2022/08/26 21:04:07 - mmengine - INFO - Epoch(val) [520][425/500] eta: 0:00:02 time: 0.0252 data_time: 0.0063 memory: 661 2022/08/26 21:04:07 - mmengine - INFO - Epoch(val) [520][430/500] eta: 0:00:01 time: 0.0222 data_time: 0.0022 memory: 661 2022/08/26 21:04:07 - mmengine - INFO - Epoch(val) [520][435/500] eta: 0:00:01 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 21:04:07 - mmengine - INFO - Epoch(val) [520][440/500] eta: 0:00:01 time: 0.0224 data_time: 0.0022 memory: 661 2022/08/26 21:04:07 - mmengine - INFO - Epoch(val) [520][445/500] eta: 0:00:01 time: 0.0245 data_time: 0.0022 memory: 661 2022/08/26 21:04:07 - mmengine - INFO - Epoch(val) [520][450/500] eta: 0:00:01 time: 0.0246 data_time: 0.0021 memory: 661 2022/08/26 21:04:07 - mmengine - INFO - Epoch(val) [520][455/500] eta: 0:00:01 time: 0.0233 data_time: 0.0021 memory: 661 2022/08/26 21:04:08 - mmengine - INFO - Epoch(val) [520][460/500] eta: 0:00:00 time: 0.0215 data_time: 0.0021 memory: 661 2022/08/26 21:04:08 - mmengine - INFO - Epoch(val) [520][465/500] eta: 0:00:00 time: 0.0212 data_time: 0.0023 memory: 661 2022/08/26 21:04:08 - mmengine - INFO - Epoch(val) [520][470/500] eta: 0:00:00 time: 0.0220 data_time: 0.0024 memory: 661 2022/08/26 21:04:08 - mmengine - INFO - Epoch(val) [520][475/500] eta: 0:00:00 time: 0.0317 data_time: 0.0066 memory: 661 2022/08/26 21:04:08 - mmengine - INFO - Epoch(val) [520][480/500] eta: 0:00:00 time: 0.0323 data_time: 0.0066 memory: 661 2022/08/26 21:04:08 - mmengine - INFO - Epoch(val) [520][485/500] eta: 0:00:00 time: 0.0241 data_time: 0.0036 memory: 661 2022/08/26 21:04:08 - mmengine - INFO - Epoch(val) [520][490/500] eta: 0:00:00 time: 0.0251 data_time: 0.0033 memory: 661 2022/08/26 21:04:09 - mmengine - INFO - Epoch(val) [520][495/500] eta: 0:00:00 time: 0.0729 data_time: 0.0022 memory: 661 2022/08/26 21:04:09 - mmengine - INFO - Epoch(val) [520][500/500] eta: 0:00:00 time: 0.0850 data_time: 0.0164 memory: 661 2022/08/26 21:04:09 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7347, precision: 0.7822, hmean: 0.7577 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7347, precision: 0.7822, hmean: 0.7577 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7347, precision: 0.7822, hmean: 0.7577 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7347, precision: 0.7822, hmean: 0.7577 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7347, precision: 0.7822, hmean: 0.7577 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7347, precision: 0.7822, hmean: 0.7577 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7347, precision: 0.7842, hmean: 0.7586 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7338, precision: 0.7909, hmean: 0.7612 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7333, precision: 0.8003, hmean: 0.7653 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7328, precision: 0.8096, hmean: 0.7693 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7299, precision: 0.8239, hmean: 0.7741 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7222, precision: 0.8418, hmean: 0.7774 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6976, precision: 0.8677, hmean: 0.7734 2022/08/26 21:04:09 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4324, precision: 0.8935, hmean: 0.5827 2022/08/26 21:04:09 - mmengine - INFO - Epoch(val) [520][500/500] icdar/precision: 0.8418 icdar/recall: 0.7222 icdar/hmean: 0.7774 2022/08/26 21:04:35 - mmengine - INFO - Epoch(train) [521][5/16] lr: 1.6150e-04 eta: 0:00:00 time: 4.9254 data_time: 0.7529 memory: 63381 loss_text: 0.2029 loss_kernel: 0.1104 loss_embedding: 0.0084 loss: 0.3218 2022/08/26 21:05:02 - mmengine - INFO - Epoch(train) [521][10/16] lr: 1.6150e-04 eta: 0:38:05 time: 5.2042 data_time: 0.7536 memory: 63381 loss_text: 0.1821 loss_kernel: 0.1011 loss_embedding: 0.0080 loss: 0.2912 2022/08/26 21:05:30 - mmengine - INFO - Epoch(train) [521][15/16] lr: 1.6150e-04 eta: 0:38:05 time: 5.4893 data_time: 0.1710 memory: 63381 loss_text: 0.1825 loss_kernel: 0.1003 loss_embedding: 0.0059 loss: 0.2888 2022/08/26 21:05:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:06:11 - mmengine - INFO - Epoch(train) [522][5/16] lr: 1.5966e-04 eta: 0:38:05 time: 6.4304 data_time: 0.8316 memory: 63381 loss_text: 0.1758 loss_kernel: 0.0963 loss_embedding: 0.0063 loss: 0.2784 2022/08/26 21:06:38 - mmengine - INFO - Epoch(train) [522][10/16] lr: 1.5966e-04 eta: 0:37:42 time: 6.5057 data_time: 1.1142 memory: 63381 loss_text: 0.1830 loss_kernel: 0.0994 loss_embedding: 0.0066 loss: 0.2890 2022/08/26 21:06:58 - mmengine - INFO - Epoch(train) [522][15/16] lr: 1.5966e-04 eta: 0:37:42 time: 4.6860 data_time: 0.4275 memory: 63381 loss_text: 0.1924 loss_kernel: 0.1049 loss_embedding: 0.0063 loss: 0.3036 2022/08/26 21:07:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:07:31 - mmengine - INFO - Epoch(train) [523][5/16] lr: 1.5782e-04 eta: 0:37:42 time: 4.9949 data_time: 0.7090 memory: 63381 loss_text: 0.1909 loss_kernel: 0.1043 loss_embedding: 0.0070 loss: 0.3022 2022/08/26 21:07:52 - mmengine - INFO - Epoch(train) [523][10/16] lr: 1.5782e-04 eta: 0:37:15 time: 4.7239 data_time: 0.7965 memory: 63381 loss_text: 0.1668 loss_kernel: 0.0928 loss_embedding: 0.0074 loss: 0.2671 2022/08/26 21:08:17 - mmengine - INFO - Epoch(train) [523][15/16] lr: 1.5782e-04 eta: 0:37:15 time: 4.5652 data_time: 0.2805 memory: 63381 loss_text: 0.1647 loss_kernel: 0.0916 loss_embedding: 0.0069 loss: 0.2631 2022/08/26 21:08:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:08:48 - mmengine - INFO - Epoch(train) [524][5/16] lr: 1.5597e-04 eta: 0:37:15 time: 5.1358 data_time: 0.8590 memory: 63381 loss_text: 0.1906 loss_kernel: 0.1041 loss_embedding: 0.0073 loss: 0.3020 2022/08/26 21:09:25 - mmengine - INFO - Epoch(train) [524][10/16] lr: 1.5597e-04 eta: 0:36:52 time: 6.6164 data_time: 1.0711 memory: 63381 loss_text: 0.1827 loss_kernel: 0.1009 loss_embedding: 0.0073 loss: 0.2909 2022/08/26 21:09:51 - mmengine - INFO - Epoch(train) [524][15/16] lr: 1.5597e-04 eta: 0:36:52 time: 6.2189 data_time: 0.4174 memory: 63381 loss_text: 0.1720 loss_kernel: 0.0947 loss_embedding: 0.0062 loss: 0.2728 2022/08/26 21:09:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:10:23 - mmengine - INFO - Epoch(train) [525][5/16] lr: 1.5412e-04 eta: 0:36:52 time: 5.2959 data_time: 0.7882 memory: 63381 loss_text: 0.1813 loss_kernel: 0.0977 loss_embedding: 0.0072 loss: 0.2862 2022/08/26 21:10:50 - mmengine - INFO - Epoch(train) [525][10/16] lr: 1.5412e-04 eta: 0:36:27 time: 5.6713 data_time: 0.8870 memory: 63381 loss_text: 0.1776 loss_kernel: 0.0960 loss_embedding: 0.0075 loss: 0.2812 2022/08/26 21:11:16 - mmengine - INFO - Epoch(train) [525][15/16] lr: 1.5412e-04 eta: 0:36:27 time: 5.3084 data_time: 0.2350 memory: 63381 loss_text: 0.1792 loss_kernel: 0.0996 loss_embedding: 0.0067 loss: 0.2855 2022/08/26 21:11:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:12:00 - mmengine - INFO - Epoch(train) [526][5/16] lr: 1.5227e-04 eta: 0:36:27 time: 6.4945 data_time: 0.9435 memory: 63381 loss_text: 0.1995 loss_kernel: 0.1078 loss_embedding: 0.0061 loss: 0.3133 2022/08/26 21:12:25 - mmengine - INFO - Epoch(train) [526][10/16] lr: 1.5227e-04 eta: 0:36:03 time: 6.6708 data_time: 1.0637 memory: 63381 loss_text: 0.1858 loss_kernel: 0.1019 loss_embedding: 0.0059 loss: 0.2936 2022/08/26 21:12:55 - mmengine - INFO - Epoch(train) [526][15/16] lr: 1.5227e-04 eta: 0:36:03 time: 5.5187 data_time: 0.2846 memory: 63381 loss_text: 0.1917 loss_kernel: 0.1050 loss_embedding: 0.0056 loss: 0.3023 2022/08/26 21:13:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:13:36 - mmengine - INFO - Epoch(train) [527][5/16] lr: 1.5042e-04 eta: 0:36:03 time: 6.7901 data_time: 1.0728 memory: 63381 loss_text: 0.1898 loss_kernel: 0.1040 loss_embedding: 0.0067 loss: 0.3005 2022/08/26 21:13:59 - mmengine - INFO - Epoch(train) [527][10/16] lr: 1.5042e-04 eta: 0:35:38 time: 5.6604 data_time: 1.1195 memory: 63381 loss_text: 0.1702 loss_kernel: 0.0953 loss_embedding: 0.0070 loss: 0.2724 2022/08/26 21:14:31 - mmengine - INFO - Epoch(train) [527][15/16] lr: 1.5042e-04 eta: 0:35:38 time: 5.4498 data_time: 0.1846 memory: 63381 loss_text: 0.1807 loss_kernel: 0.0989 loss_embedding: 0.0060 loss: 0.2856 2022/08/26 21:14:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:15:07 - mmengine - INFO - Epoch(train) [528][5/16] lr: 1.4856e-04 eta: 0:35:38 time: 6.1379 data_time: 0.9307 memory: 63381 loss_text: 0.2135 loss_kernel: 0.1134 loss_embedding: 0.0059 loss: 0.3329 2022/08/26 21:15:27 - mmengine - INFO - Epoch(train) [528][10/16] lr: 1.4856e-04 eta: 0:35:12 time: 5.0366 data_time: 0.9444 memory: 63381 loss_text: 0.1967 loss_kernel: 0.1076 loss_embedding: 0.0064 loss: 0.3107 2022/08/26 21:15:57 - mmengine - INFO - Epoch(train) [528][15/16] lr: 1.4856e-04 eta: 0:35:12 time: 5.0318 data_time: 0.3023 memory: 63381 loss_text: 0.1920 loss_kernel: 0.1052 loss_embedding: 0.0068 loss: 0.3039 2022/08/26 21:15:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:16:57 - mmengine - INFO - Epoch(train) [529][5/16] lr: 1.4671e-04 eta: 0:35:12 time: 8.1690 data_time: 0.8964 memory: 63381 loss_text: 0.2103 loss_kernel: 0.1143 loss_embedding: 0.0073 loss: 0.3319 2022/08/26 21:17:28 - mmengine - INFO - Epoch(train) [529][10/16] lr: 1.4671e-04 eta: 0:34:50 time: 8.7798 data_time: 1.2093 memory: 63381 loss_text: 0.2094 loss_kernel: 0.1136 loss_embedding: 0.0077 loss: 0.3307 2022/08/26 21:17:51 - mmengine - INFO - Epoch(train) [529][15/16] lr: 1.4671e-04 eta: 0:34:50 time: 5.3072 data_time: 0.4899 memory: 63381 loss_text: 0.2028 loss_kernel: 0.1112 loss_embedding: 0.0069 loss: 0.3208 2022/08/26 21:17:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:18:22 - mmengine - INFO - Epoch(train) [530][5/16] lr: 1.4485e-04 eta: 0:34:50 time: 5.1977 data_time: 0.6960 memory: 63381 loss_text: 0.2029 loss_kernel: 0.1114 loss_embedding: 0.0063 loss: 0.3206 2022/08/26 21:18:41 - mmengine - INFO - Epoch(train) [530][10/16] lr: 1.4485e-04 eta: 0:34:24 time: 4.8642 data_time: 0.7740 memory: 63381 loss_text: 0.1896 loss_kernel: 0.1055 loss_embedding: 0.0067 loss: 0.3019 2022/08/26 21:19:10 - mmengine - INFO - Epoch(train) [530][15/16] lr: 1.4485e-04 eta: 0:34:24 time: 4.7641 data_time: 0.2972 memory: 63381 loss_text: 0.1648 loss_kernel: 0.0922 loss_embedding: 0.0068 loss: 0.2638 2022/08/26 21:19:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:19:45 - mmengine - INFO - Epoch(train) [531][5/16] lr: 1.4298e-04 eta: 0:34:24 time: 5.0367 data_time: 0.8090 memory: 63381 loss_text: 0.1829 loss_kernel: 0.0985 loss_embedding: 0.0074 loss: 0.2888 2022/08/26 21:20:04 - mmengine - INFO - Epoch(train) [531][10/16] lr: 1.4298e-04 eta: 0:33:57 time: 5.1083 data_time: 0.9032 memory: 63381 loss_text: 0.1860 loss_kernel: 0.1023 loss_embedding: 0.0070 loss: 0.2952 2022/08/26 21:20:29 - mmengine - INFO - Epoch(train) [531][15/16] lr: 1.4298e-04 eta: 0:33:57 time: 4.4117 data_time: 0.2693 memory: 63381 loss_text: 0.1975 loss_kernel: 0.1082 loss_embedding: 0.0057 loss: 0.3114 2022/08/26 21:20:37 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:21:09 - mmengine - INFO - Epoch(train) [532][5/16] lr: 1.4112e-04 eta: 0:33:57 time: 6.2518 data_time: 0.8817 memory: 63381 loss_text: 0.1856 loss_kernel: 0.1014 loss_embedding: 0.0056 loss: 0.2926 2022/08/26 21:21:26 - mmengine - INFO - Epoch(train) [532][10/16] lr: 1.4112e-04 eta: 0:33:30 time: 4.9437 data_time: 1.0635 memory: 63381 loss_text: 0.1911 loss_kernel: 0.1041 loss_embedding: 0.0064 loss: 0.3016 2022/08/26 21:21:51 - mmengine - INFO - Epoch(train) [532][15/16] lr: 1.4112e-04 eta: 0:33:30 time: 4.1045 data_time: 0.3289 memory: 63381 loss_text: 0.1882 loss_kernel: 0.1026 loss_embedding: 0.0066 loss: 0.2973 2022/08/26 21:21:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:22:21 - mmengine - INFO - Epoch(train) [533][5/16] lr: 1.3925e-04 eta: 0:33:30 time: 4.9150 data_time: 0.8079 memory: 63381 loss_text: 0.1922 loss_kernel: 0.1036 loss_embedding: 0.0078 loss: 0.3035 2022/08/26 21:22:52 - mmengine - INFO - Epoch(train) [533][10/16] lr: 1.3925e-04 eta: 0:33:05 time: 5.8472 data_time: 0.9127 memory: 63381 loss_text: 0.1937 loss_kernel: 0.1059 loss_embedding: 0.0073 loss: 0.3070 2022/08/26 21:23:16 - mmengine - INFO - Epoch(train) [533][15/16] lr: 1.3925e-04 eta: 0:33:05 time: 5.5000 data_time: 0.2927 memory: 63381 loss_text: 0.1873 loss_kernel: 0.1025 loss_embedding: 0.0066 loss: 0.2964 2022/08/26 21:23:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:23:55 - mmengine - INFO - Epoch(train) [534][5/16] lr: 1.3737e-04 eta: 0:33:05 time: 5.8092 data_time: 1.0250 memory: 63381 loss_text: 0.1933 loss_kernel: 0.1054 loss_embedding: 0.0061 loss: 0.3048 2022/08/26 21:24:24 - mmengine - INFO - Epoch(train) [534][10/16] lr: 1.3737e-04 eta: 0:32:40 time: 6.4890 data_time: 1.0765 memory: 63381 loss_text: 0.1979 loss_kernel: 0.1077 loss_embedding: 0.0068 loss: 0.3124 2022/08/26 21:24:36 - mmengine - INFO - Epoch(train) [534][15/16] lr: 1.3737e-04 eta: 0:32:40 time: 4.1825 data_time: 0.2375 memory: 63381 loss_text: 0.1675 loss_kernel: 0.0924 loss_embedding: 0.0074 loss: 0.2673 2022/08/26 21:24:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:24:56 - mmengine - INFO - Epoch(train) [535][5/16] lr: 1.3550e-04 eta: 0:32:40 time: 2.9207 data_time: 0.5800 memory: 63381 loss_text: 0.1845 loss_kernel: 0.1030 loss_embedding: 0.0058 loss: 0.2933 2022/08/26 21:25:10 - mmengine - INFO - Epoch(train) [535][10/16] lr: 1.3550e-04 eta: 0:32:10 time: 3.1930 data_time: 0.7145 memory: 63381 loss_text: 0.1878 loss_kernel: 0.1047 loss_embedding: 0.0060 loss: 0.2985 2022/08/26 21:25:23 - mmengine - INFO - Epoch(train) [535][15/16] lr: 1.3550e-04 eta: 0:32:10 time: 2.6895 data_time: 0.1896 memory: 63381 loss_text: 0.1762 loss_kernel: 0.0979 loss_embedding: 0.0063 loss: 0.2804 2022/08/26 21:25:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:25:45 - mmengine - INFO - Epoch(train) [536][5/16] lr: 1.3362e-04 eta: 0:32:10 time: 3.2217 data_time: 0.6259 memory: 63381 loss_text: 0.1569 loss_kernel: 0.0897 loss_embedding: 0.0071 loss: 0.2537 2022/08/26 21:25:58 - mmengine - INFO - Epoch(train) [536][10/16] lr: 1.3362e-04 eta: 0:31:41 time: 3.2259 data_time: 0.6755 memory: 63381 loss_text: 0.1764 loss_kernel: 0.0973 loss_embedding: 0.0066 loss: 0.2803 2022/08/26 21:26:14 - mmengine - INFO - Epoch(train) [536][15/16] lr: 1.3362e-04 eta: 0:31:41 time: 2.9648 data_time: 0.1164 memory: 63381 loss_text: 0.1888 loss_kernel: 0.1022 loss_embedding: 0.0068 loss: 0.2978 2022/08/26 21:26:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:26:35 - mmengine - INFO - Epoch(train) [537][5/16] lr: 1.3174e-04 eta: 0:31:41 time: 3.3654 data_time: 0.6423 memory: 63381 loss_text: 0.1904 loss_kernel: 0.1030 loss_embedding: 0.0070 loss: 0.3003 2022/08/26 21:26:47 - mmengine - INFO - Epoch(train) [537][10/16] lr: 1.3174e-04 eta: 0:31:12 time: 3.1267 data_time: 0.6824 memory: 63381 loss_text: 0.2110 loss_kernel: 0.1142 loss_embedding: 0.0071 loss: 0.3324 2022/08/26 21:27:00 - mmengine - INFO - Epoch(train) [537][15/16] lr: 1.3174e-04 eta: 0:31:12 time: 2.5441 data_time: 0.1045 memory: 63381 loss_text: 0.2177 loss_kernel: 0.1177 loss_embedding: 0.0070 loss: 0.3425 2022/08/26 21:27:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:27:23 - mmengine - INFO - Epoch(train) [538][5/16] lr: 1.2986e-04 eta: 0:31:12 time: 3.3870 data_time: 0.6896 memory: 63381 loss_text: 0.2043 loss_kernel: 0.1096 loss_embedding: 0.0057 loss: 0.3196 2022/08/26 21:27:44 - mmengine - INFO - Epoch(train) [538][10/16] lr: 1.2986e-04 eta: 0:30:44 time: 4.1396 data_time: 0.7433 memory: 63381 loss_text: 0.1841 loss_kernel: 0.1007 loss_embedding: 0.0061 loss: 0.2909 2022/08/26 21:28:13 - mmengine - INFO - Epoch(train) [538][15/16] lr: 1.2986e-04 eta: 0:30:44 time: 4.9512 data_time: 0.2412 memory: 63381 loss_text: 0.1565 loss_kernel: 0.0883 loss_embedding: 0.0064 loss: 0.2511 2022/08/26 21:28:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:28:44 - mmengine - INFO - Epoch(train) [539][5/16] lr: 1.2797e-04 eta: 0:30:44 time: 5.2416 data_time: 0.6748 memory: 63381 loss_text: 0.1522 loss_kernel: 0.0845 loss_embedding: 0.0064 loss: 0.2432 2022/08/26 21:29:18 - mmengine - INFO - Epoch(train) [539][10/16] lr: 1.2797e-04 eta: 0:30:18 time: 6.2529 data_time: 0.7505 memory: 63381 loss_text: 0.1665 loss_kernel: 0.0925 loss_embedding: 0.0069 loss: 0.2659 2022/08/26 21:29:39 - mmengine - INFO - Epoch(train) [539][15/16] lr: 1.2797e-04 eta: 0:30:18 time: 5.5128 data_time: 0.3116 memory: 63381 loss_text: 0.1816 loss_kernel: 0.0997 loss_embedding: 0.0064 loss: 0.2876 2022/08/26 21:29:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:30:25 - mmengine - INFO - Epoch(train) [540][5/16] lr: 1.2608e-04 eta: 0:30:18 time: 6.3377 data_time: 1.0839 memory: 63381 loss_text: 0.1681 loss_kernel: 0.0934 loss_embedding: 0.0061 loss: 0.2676 2022/08/26 21:30:42 - mmengine - INFO - Epoch(train) [540][10/16] lr: 1.2608e-04 eta: 0:29:51 time: 5.0919 data_time: 1.0111 memory: 63381 loss_text: 0.1782 loss_kernel: 0.0988 loss_embedding: 0.0060 loss: 0.2830 2022/08/26 21:31:21 - mmengine - INFO - Epoch(train) [540][15/16] lr: 1.2608e-04 eta: 0:29:51 time: 5.5438 data_time: 0.2383 memory: 63381 loss_text: 0.1864 loss_kernel: 0.1017 loss_embedding: 0.0065 loss: 0.2945 2022/08/26 21:31:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:31:26 - mmengine - INFO - Saving checkpoint at 540 epochs 2022/08/26 21:31:35 - mmengine - INFO - Epoch(val) [540][5/500] eta: 0:29:51 time: 0.1689 data_time: 0.0481 memory: 39748 2022/08/26 21:31:35 - mmengine - INFO - Epoch(val) [540][10/500] eta: 0:01:21 time: 0.1669 data_time: 0.0369 memory: 661 2022/08/26 21:31:35 - mmengine - INFO - Epoch(val) [540][15/500] eta: 0:01:21 time: 0.0347 data_time: 0.0052 memory: 661 2022/08/26 21:31:35 - mmengine - INFO - Epoch(val) [540][20/500] eta: 0:00:15 time: 0.0324 data_time: 0.0023 memory: 661 2022/08/26 21:31:35 - mmengine - INFO - Epoch(val) [540][25/500] eta: 0:00:15 time: 0.0311 data_time: 0.0022 memory: 661 2022/08/26 21:31:35 - mmengine - INFO - Epoch(val) [540][30/500] eta: 0:00:11 time: 0.0250 data_time: 0.0023 memory: 661 2022/08/26 21:31:36 - mmengine - INFO - Epoch(val) [540][35/500] eta: 0:00:11 time: 0.0259 data_time: 0.0024 memory: 661 2022/08/26 21:31:36 - mmengine - INFO - Epoch(val) [540][40/500] eta: 0:00:11 time: 0.0261 data_time: 0.0023 memory: 661 2022/08/26 21:31:36 - mmengine - INFO - Epoch(val) [540][45/500] eta: 0:00:11 time: 0.0263 data_time: 0.0023 memory: 661 2022/08/26 21:31:36 - mmengine - INFO - Epoch(val) [540][50/500] eta: 0:00:10 time: 0.0237 data_time: 0.0023 memory: 661 2022/08/26 21:31:36 - mmengine - INFO - Epoch(val) [540][55/500] eta: 0:00:10 time: 0.0245 data_time: 0.0021 memory: 661 2022/08/26 21:31:36 - mmengine - INFO - Epoch(val) [540][60/500] eta: 0:00:10 time: 0.0235 data_time: 0.0022 memory: 661 2022/08/26 21:31:36 - mmengine - INFO - Epoch(val) [540][65/500] eta: 0:00:10 time: 0.0386 data_time: 0.0024 memory: 661 2022/08/26 21:31:37 - mmengine - INFO - Epoch(val) [540][70/500] eta: 0:00:18 time: 0.0432 data_time: 0.0023 memory: 661 2022/08/26 21:31:37 - mmengine - INFO - Epoch(val) [540][75/500] eta: 0:00:18 time: 0.0264 data_time: 0.0022 memory: 661 2022/08/26 21:31:37 - mmengine - INFO - Epoch(val) [540][80/500] eta: 0:00:08 time: 0.0211 data_time: 0.0024 memory: 661 2022/08/26 21:31:37 - mmengine - INFO - Epoch(val) [540][85/500] eta: 0:00:08 time: 0.0204 data_time: 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2022/08/26 21:31:38 - mmengine - INFO - Epoch(val) [540][130/500] eta: 0:00:08 time: 0.0227 data_time: 0.0024 memory: 661 2022/08/26 21:31:38 - mmengine - INFO - Epoch(val) [540][135/500] eta: 0:00:08 time: 0.0225 data_time: 0.0023 memory: 661 2022/08/26 21:31:38 - mmengine - INFO - Epoch(val) [540][140/500] eta: 0:00:08 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 21:31:38 - mmengine - INFO - Epoch(val) [540][145/500] eta: 0:00:08 time: 0.0234 data_time: 0.0024 memory: 661 2022/08/26 21:31:38 - mmengine - INFO - Epoch(val) [540][150/500] eta: 0:00:08 time: 0.0237 data_time: 0.0024 memory: 661 2022/08/26 21:31:39 - mmengine - INFO - Epoch(val) [540][155/500] eta: 0:00:08 time: 0.0263 data_time: 0.0020 memory: 661 2022/08/26 21:31:39 - mmengine - INFO - Epoch(val) [540][160/500] eta: 0:00:08 time: 0.0255 data_time: 0.0018 memory: 661 2022/08/26 21:31:39 - mmengine - INFO - Epoch(val) [540][165/500] eta: 0:00:08 time: 0.0239 data_time: 0.0020 memory: 661 2022/08/26 21:31:39 - mmengine - INFO - Epoch(val) [540][170/500] eta: 0:00:08 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 21:31:39 - mmengine - INFO - Epoch(val) [540][175/500] eta: 0:00:08 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 21:31:39 - mmengine - INFO - Epoch(val) [540][180/500] eta: 0:00:07 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 21:31:39 - mmengine - INFO - Epoch(val) [540][185/500] eta: 0:00:07 time: 0.0244 data_time: 0.0021 memory: 661 2022/08/26 21:31:39 - mmengine - INFO - Epoch(val) [540][190/500] eta: 0:00:07 time: 0.0252 data_time: 0.0021 memory: 661 2022/08/26 21:31:40 - mmengine - INFO - Epoch(val) [540][195/500] eta: 0:00:07 time: 0.0239 data_time: 0.0023 memory: 661 2022/08/26 21:31:40 - mmengine - INFO - Epoch(val) [540][200/500] eta: 0:00:08 time: 0.0273 data_time: 0.0024 memory: 661 2022/08/26 21:31:40 - mmengine - INFO - Epoch(val) [540][205/500] eta: 0:00:08 time: 0.0271 data_time: 0.0023 memory: 661 2022/08/26 21:31:40 - mmengine - INFO - Epoch(val) [540][210/500] eta: 0:00:06 time: 0.0228 data_time: 0.0029 memory: 661 2022/08/26 21:31:40 - mmengine - INFO - Epoch(val) [540][215/500] eta: 0:00:06 time: 0.0236 data_time: 0.0030 memory: 661 2022/08/26 21:31:40 - mmengine - INFO - Epoch(val) [540][220/500] eta: 0:00:06 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 21:31:40 - mmengine - INFO - Epoch(val) [540][225/500] eta: 0:00:06 time: 0.0247 data_time: 0.0021 memory: 661 2022/08/26 21:31:40 - mmengine - INFO - Epoch(val) [540][230/500] eta: 0:00:06 time: 0.0228 data_time: 0.0023 memory: 661 2022/08/26 21:31:41 - mmengine - INFO - Epoch(val) [540][235/500] eta: 0:00:06 time: 0.0223 data_time: 0.0023 memory: 661 2022/08/26 21:31:41 - mmengine - INFO - Epoch(val) [540][240/500] eta: 0:00:06 time: 0.0243 data_time: 0.0022 memory: 661 2022/08/26 21:31:41 - mmengine - INFO - Epoch(val) [540][245/500] eta: 0:00:06 time: 0.0234 data_time: 0.0023 memory: 661 2022/08/26 21:31:41 - mmengine - INFO - Epoch(val) 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0:00:05 time: 0.0242 data_time: 0.0023 memory: 661 2022/08/26 21:31:42 - mmengine - INFO - Epoch(val) [540][295/500] eta: 0:00:05 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 21:31:42 - mmengine - INFO - Epoch(val) [540][300/500] eta: 0:00:04 time: 0.0236 data_time: 0.0022 memory: 661 2022/08/26 21:31:42 - mmengine - INFO - Epoch(val) [540][305/500] eta: 0:00:04 time: 0.0234 data_time: 0.0022 memory: 661 2022/08/26 21:31:42 - mmengine - INFO - Epoch(val) [540][310/500] eta: 0:00:04 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 21:31:43 - mmengine - INFO - Epoch(val) [540][315/500] eta: 0:00:04 time: 0.0253 data_time: 0.0024 memory: 661 2022/08/26 21:31:43 - mmengine - INFO - Epoch(val) [540][320/500] eta: 0:00:04 time: 0.0246 data_time: 0.0023 memory: 661 2022/08/26 21:31:43 - mmengine - INFO - Epoch(val) [540][325/500] eta: 0:00:04 time: 0.0334 data_time: 0.0022 memory: 661 2022/08/26 21:31:43 - mmengine - INFO - Epoch(val) [540][330/500] eta: 0:00:05 time: 0.0344 data_time: 0.0023 memory: 661 2022/08/26 21:31:43 - mmengine - INFO - Epoch(val) [540][335/500] eta: 0:00:05 time: 0.0228 data_time: 0.0026 memory: 661 2022/08/26 21:31:43 - mmengine - INFO - Epoch(val) [540][340/500] eta: 0:00:04 time: 0.0276 data_time: 0.0031 memory: 661 2022/08/26 21:31:43 - mmengine - INFO - Epoch(val) [540][345/500] eta: 0:00:04 time: 0.0380 data_time: 0.0049 memory: 661 2022/08/26 21:31:44 - mmengine - INFO - Epoch(val) [540][350/500] eta: 0:00:05 time: 0.0354 data_time: 0.0042 memory: 661 2022/08/26 21:31:49 - mmengine - INFO - Epoch(val) [540][355/500] eta: 0:00:05 time: 0.5172 data_time: 0.0050 memory: 661 2022/08/26 21:31:49 - mmengine - INFO - Epoch(val) [540][360/500] eta: 0:01:15 time: 0.5392 data_time: 0.0270 memory: 661 2022/08/26 21:31:49 - mmengine - INFO - Epoch(val) [540][365/500] eta: 0:01:15 time: 0.0499 data_time: 0.0242 memory: 661 2022/08/26 21:31:49 - mmengine - INFO - Epoch(val) [540][370/500] eta: 0:00:03 time: 0.0242 data_time: 0.0024 memory: 661 2022/08/26 21:31:49 - mmengine - INFO - Epoch(val) [540][375/500] eta: 0:00:03 time: 0.0224 data_time: 0.0038 memory: 661 2022/08/26 21:31:49 - mmengine - INFO - Epoch(val) [540][380/500] eta: 0:00:03 time: 0.0251 data_time: 0.0038 memory: 661 2022/08/26 21:31:50 - mmengine - INFO - Epoch(val) [540][385/500] eta: 0:00:03 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 21:31:50 - mmengine - INFO - Epoch(val) [540][390/500] eta: 0:00:02 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 21:31:50 - mmengine - INFO - Epoch(val) [540][395/500] eta: 0:00:02 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 21:31:50 - mmengine - INFO - Epoch(val) [540][400/500] eta: 0:00:02 time: 0.0277 data_time: 0.0070 memory: 661 2022/08/26 21:31:50 - mmengine - INFO - Epoch(val) [540][405/500] eta: 0:00:02 time: 0.0280 data_time: 0.0071 memory: 661 2022/08/26 21:31:50 - mmengine - INFO - Epoch(val) [540][410/500] eta: 0:00:02 time: 0.0245 data_time: 0.0022 memory: 661 2022/08/26 21:31:50 - mmengine - INFO - Epoch(val) [540][415/500] eta: 0:00:02 time: 0.0242 data_time: 0.0022 memory: 661 2022/08/26 21:31:50 - mmengine - INFO - Epoch(val) [540][420/500] eta: 0:00:01 time: 0.0217 data_time: 0.0022 memory: 661 2022/08/26 21:31:51 - mmengine - INFO - Epoch(val) [540][425/500] eta: 0:00:01 time: 0.0219 data_time: 0.0023 memory: 661 2022/08/26 21:31:51 - mmengine - INFO - Epoch(val) [540][430/500] eta: 0:00:01 time: 0.0235 data_time: 0.0023 memory: 661 2022/08/26 21:31:51 - mmengine - INFO - Epoch(val) [540][435/500] eta: 0:00:01 time: 0.0225 data_time: 0.0022 memory: 661 2022/08/26 21:31:51 - mmengine - INFO - Epoch(val) [540][440/500] eta: 0:00:01 time: 0.0228 data_time: 0.0023 memory: 661 2022/08/26 21:31:51 - mmengine - INFO - Epoch(val) [540][445/500] eta: 0:00:01 time: 0.0267 data_time: 0.0041 memory: 661 2022/08/26 21:31:51 - mmengine - INFO - Epoch(val) [540][450/500] eta: 0:00:01 time: 0.0264 data_time: 0.0039 memory: 661 2022/08/26 21:31:51 - mmengine - INFO - Epoch(val) [540][455/500] eta: 0:00:01 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 21:31:51 - mmengine - INFO - Epoch(val) [540][460/500] eta: 0:00:00 time: 0.0214 data_time: 0.0021 memory: 661 2022/08/26 21:31:52 - mmengine - INFO - Epoch(val) [540][465/500] eta: 0:00:00 time: 0.0212 data_time: 0.0022 memory: 661 2022/08/26 21:31:52 - mmengine - INFO - Epoch(val) [540][470/500] eta: 0:00:00 time: 0.0222 data_time: 0.0023 memory: 661 2022/08/26 21:31:52 - mmengine - INFO - Epoch(val) [540][475/500] eta: 0:00:00 time: 0.0221 data_time: 0.0025 memory: 661 2022/08/26 21:31:52 - mmengine - INFO - Epoch(val) [540][480/500] eta: 0:00:00 time: 0.0232 data_time: 0.0025 memory: 661 2022/08/26 21:31:52 - mmengine - INFO - Epoch(val) [540][485/500] eta: 0:00:00 time: 0.0237 data_time: 0.0024 memory: 661 2022/08/26 21:31:52 - mmengine - INFO - Epoch(val) [540][490/500] eta: 0:00:00 time: 0.0240 data_time: 0.0023 memory: 661 2022/08/26 21:31:52 - mmengine - INFO - Epoch(val) [540][495/500] eta: 0:00:00 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 21:31:52 - mmengine - INFO - Epoch(val) [540][500/500] eta: 0:00:00 time: 0.0229 data_time: 0.0023 memory: 661 2022/08/26 21:31:52 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7448, precision: 0.7778, hmean: 0.7609 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7448, precision: 0.7778, hmean: 0.7609 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7448, precision: 0.7778, hmean: 0.7609 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7448, precision: 0.7778, hmean: 0.7609 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7448, precision: 0.7778, hmean: 0.7609 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7448, precision: 0.7782, hmean: 0.7611 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7448, precision: 0.7790, hmean: 0.7615 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7448, precision: 0.7861, hmean: 0.7649 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7443, precision: 0.7928, hmean: 0.7678 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7424, precision: 0.8010, hmean: 0.7706 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7386, precision: 0.8129, hmean: 0.7740 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7323, precision: 0.8321, hmean: 0.7790 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7102, precision: 0.8551, hmean: 0.7759 2022/08/26 21:31:52 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4911, precision: 0.9003, hmean: 0.6355 2022/08/26 21:31:52 - mmengine - INFO - Epoch(val) [540][500/500] icdar/precision: 0.8321 icdar/recall: 0.7323 icdar/hmean: 0.7790 2022/08/26 21:32:20 - mmengine - INFO - Epoch(train) [541][5/16] lr: 1.2419e-04 eta: 0:00:00 time: 6.5161 data_time: 0.7844 memory: 63381 loss_text: 0.1720 loss_kernel: 0.0958 loss_embedding: 0.0065 loss: 0.2743 2022/08/26 21:32:43 - mmengine - INFO - Epoch(train) [541][10/16] lr: 1.2419e-04 eta: 0:29:23 time: 5.0214 data_time: 0.8039 memory: 63381 loss_text: 0.1798 loss_kernel: 0.1006 loss_embedding: 0.0062 loss: 0.2866 2022/08/26 21:33:05 - mmengine - INFO - Epoch(train) [541][15/16] lr: 1.2419e-04 eta: 0:29:23 time: 4.4845 data_time: 0.2684 memory: 63381 loss_text: 0.1782 loss_kernel: 0.0982 loss_embedding: 0.0059 loss: 0.2823 2022/08/26 21:33:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:33:46 - mmengine - INFO - Epoch(train) [542][5/16] lr: 1.2229e-04 eta: 0:29:23 time: 5.9247 data_time: 0.6728 memory: 63381 loss_text: 0.1599 loss_kernel: 0.0893 loss_embedding: 0.0063 loss: 0.2554 2022/08/26 21:34:14 - mmengine - INFO - Epoch(train) [542][10/16] lr: 1.2229e-04 eta: 0:28:57 time: 6.0100 data_time: 0.9022 memory: 63381 loss_text: 0.1604 loss_kernel: 0.0903 loss_embedding: 0.0063 loss: 0.2570 2022/08/26 21:34:39 - mmengine - INFO - Epoch(train) [542][15/16] lr: 1.2229e-04 eta: 0:28:57 time: 5.3037 data_time: 0.3672 memory: 63381 loss_text: 0.1871 loss_kernel: 0.1028 loss_embedding: 0.0068 loss: 0.2966 2022/08/26 21:34:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:35:27 - mmengine - INFO - Epoch(train) [543][5/16] lr: 1.2039e-04 eta: 0:28:57 time: 6.9690 data_time: 0.8139 memory: 63381 loss_text: 0.1942 loss_kernel: 0.1078 loss_embedding: 0.0072 loss: 0.3092 2022/08/26 21:35:57 - mmengine - INFO - Epoch(train) [543][10/16] lr: 1.2039e-04 eta: 0:28:32 time: 7.5338 data_time: 0.9205 memory: 63381 loss_text: 0.1844 loss_kernel: 0.1030 loss_embedding: 0.0064 loss: 0.2938 2022/08/26 21:36:21 - mmengine - INFO - Epoch(train) [543][15/16] lr: 1.2039e-04 eta: 0:28:32 time: 5.4113 data_time: 0.3794 memory: 63381 loss_text: 0.2021 loss_kernel: 0.1110 loss_embedding: 0.0057 loss: 0.3189 2022/08/26 21:36:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:37:11 - mmengine - INFO - Epoch(train) [544][5/16] lr: 1.1849e-04 eta: 0:28:32 time: 6.8474 data_time: 0.9285 memory: 63381 loss_text: 0.2013 loss_kernel: 0.1094 loss_embedding: 0.0058 loss: 0.3164 2022/08/26 21:37:37 - mmengine - INFO - Epoch(train) [544][10/16] lr: 1.1849e-04 eta: 0:28:06 time: 6.9761 data_time: 0.8632 memory: 63381 loss_text: 0.1855 loss_kernel: 0.1022 loss_embedding: 0.0057 loss: 0.2934 2022/08/26 21:38:12 - mmengine - INFO - Epoch(train) [544][15/16] lr: 1.1849e-04 eta: 0:28:06 time: 6.0390 data_time: 0.1882 memory: 63381 loss_text: 0.1800 loss_kernel: 0.1001 loss_embedding: 0.0060 loss: 0.2861 2022/08/26 21:38:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:38:54 - mmengine - INFO - Epoch(train) [545][5/16] lr: 1.1658e-04 eta: 0:28:06 time: 6.8019 data_time: 0.8516 memory: 63381 loss_text: 0.1891 loss_kernel: 0.1039 loss_embedding: 0.0059 loss: 0.2989 2022/08/26 21:39:26 - mmengine - INFO - Epoch(train) [545][10/16] lr: 1.1658e-04 eta: 0:27:40 time: 6.6088 data_time: 0.9814 memory: 63381 loss_text: 0.1838 loss_kernel: 0.1012 loss_embedding: 0.0056 loss: 0.2907 2022/08/26 21:39:50 - mmengine - INFO - Epoch(train) [545][15/16] lr: 1.1658e-04 eta: 0:27:40 time: 5.6630 data_time: 0.3620 memory: 63381 loss_text: 0.1813 loss_kernel: 0.0998 loss_embedding: 0.0061 loss: 0.2872 2022/08/26 21:39:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:40:26 - mmengine - INFO - Epoch(train) [546][5/16] lr: 1.1468e-04 eta: 0:27:40 time: 5.4461 data_time: 0.8408 memory: 63381 loss_text: 0.1778 loss_kernel: 0.0989 loss_embedding: 0.0062 loss: 0.2829 2022/08/26 21:40:45 - mmengine - INFO - Epoch(train) [546][10/16] lr: 1.1468e-04 eta: 0:27:12 time: 5.2056 data_time: 0.8099 memory: 63381 loss_text: 0.1809 loss_kernel: 0.1015 loss_embedding: 0.0054 loss: 0.2879 2022/08/26 21:41:09 - mmengine - INFO - Epoch(train) [546][15/16] lr: 1.1468e-04 eta: 0:27:12 time: 4.1886 data_time: 0.1247 memory: 63381 loss_text: 0.1745 loss_kernel: 0.0971 loss_embedding: 0.0057 loss: 0.2773 2022/08/26 21:41:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:41:43 - mmengine - INFO - Epoch(train) [547][5/16] lr: 1.1276e-04 eta: 0:27:12 time: 4.9647 data_time: 0.8652 memory: 63381 loss_text: 0.1896 loss_kernel: 0.1043 loss_embedding: 0.0075 loss: 0.3015 2022/08/26 21:42:04 - mmengine - INFO - Epoch(train) [547][10/16] lr: 1.1276e-04 eta: 0:26:44 time: 5.0800 data_time: 1.0833 memory: 63381 loss_text: 0.1938 loss_kernel: 0.1062 loss_embedding: 0.0079 loss: 0.3078 2022/08/26 21:42:31 - mmengine - INFO - Epoch(train) [547][15/16] lr: 1.1276e-04 eta: 0:26:44 time: 4.8687 data_time: 0.4318 memory: 63381 loss_text: 0.1733 loss_kernel: 0.0961 loss_embedding: 0.0075 loss: 0.2770 2022/08/26 21:42:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:43:15 - mmengine - INFO - Epoch(train) [548][5/16] lr: 1.1085e-04 eta: 0:26:44 time: 6.4812 data_time: 0.7788 memory: 63381 loss_text: 0.1650 loss_kernel: 0.0928 loss_embedding: 0.0067 loss: 0.2645 2022/08/26 21:43:35 - mmengine - INFO - Epoch(train) [548][10/16] lr: 1.1085e-04 eta: 0:26:17 time: 6.2577 data_time: 0.9260 memory: 63381 loss_text: 0.1829 loss_kernel: 0.1000 loss_embedding: 0.0074 loss: 0.2903 2022/08/26 21:44:09 - mmengine - INFO - Epoch(train) [548][15/16] lr: 1.1085e-04 eta: 0:26:17 time: 5.3502 data_time: 0.2448 memory: 63381 loss_text: 0.1848 loss_kernel: 0.1027 loss_embedding: 0.0070 loss: 0.2945 2022/08/26 21:44:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:44:47 - mmengine - INFO - Epoch(train) [549][5/16] lr: 1.0893e-04 eta: 0:26:17 time: 6.1725 data_time: 0.8264 memory: 63381 loss_text: 0.1611 loss_kernel: 0.0919 loss_embedding: 0.0060 loss: 0.2590 2022/08/26 21:45:10 - mmengine - INFO - Epoch(train) [549][10/16] lr: 1.0893e-04 eta: 0:25:49 time: 5.3988 data_time: 0.8328 memory: 63381 loss_text: 0.1672 loss_kernel: 0.0945 loss_embedding: 0.0061 loss: 0.2677 2022/08/26 21:45:31 - mmengine - INFO - Epoch(train) [549][15/16] lr: 1.0893e-04 eta: 0:25:49 time: 4.4129 data_time: 0.2359 memory: 63381 loss_text: 0.1911 loss_kernel: 0.1044 loss_embedding: 0.0060 loss: 0.3015 2022/08/26 21:45:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:46:13 - mmengine - INFO - Epoch(train) [550][5/16] lr: 1.0700e-04 eta: 0:25:49 time: 5.8815 data_time: 1.1120 memory: 63381 loss_text: 0.1857 loss_kernel: 0.0999 loss_embedding: 0.0080 loss: 0.2936 2022/08/26 21:46:42 - mmengine - INFO - Epoch(train) [550][10/16] lr: 1.0700e-04 eta: 0:25:23 time: 7.0017 data_time: 1.4024 memory: 63381 loss_text: 0.1890 loss_kernel: 0.1038 loss_embedding: 0.0078 loss: 0.3006 2022/08/26 21:47:07 - mmengine - INFO - Epoch(train) [550][15/16] lr: 1.0700e-04 eta: 0:25:23 time: 5.5387 data_time: 0.4094 memory: 63381 loss_text: 0.1938 loss_kernel: 0.1088 loss_embedding: 0.0064 loss: 0.3090 2022/08/26 21:47:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:47:54 - mmengine - INFO - Epoch(train) [551][5/16] lr: 1.0507e-04 eta: 0:25:23 time: 6.8164 data_time: 1.0056 memory: 63381 loss_text: 0.1568 loss_kernel: 0.0906 loss_embedding: 0.0075 loss: 0.2549 2022/08/26 21:48:22 - mmengine - INFO - Epoch(train) [551][10/16] lr: 1.0507e-04 eta: 0:24:56 time: 7.1996 data_time: 1.1264 memory: 63381 loss_text: 0.1738 loss_kernel: 0.0959 loss_embedding: 0.0066 loss: 0.2764 2022/08/26 21:48:52 - mmengine - INFO - Epoch(train) [551][15/16] lr: 1.0507e-04 eta: 0:24:56 time: 5.7959 data_time: 0.3099 memory: 63381 loss_text: 0.2093 loss_kernel: 0.1112 loss_embedding: 0.0073 loss: 0.3277 2022/08/26 21:48:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:49:33 - mmengine - INFO - Epoch(train) [552][5/16] lr: 1.0314e-04 eta: 0:24:56 time: 6.4758 data_time: 0.7858 memory: 63381 loss_text: 0.2149 loss_kernel: 0.1159 loss_embedding: 0.0074 loss: 0.3382 2022/08/26 21:50:04 - mmengine - INFO - Epoch(train) [552][10/16] lr: 1.0314e-04 eta: 0:24:29 time: 6.4894 data_time: 0.9371 memory: 63381 loss_text: 0.1949 loss_kernel: 0.1072 loss_embedding: 0.0060 loss: 0.3082 2022/08/26 21:50:42 - mmengine - INFO - Epoch(train) [552][15/16] lr: 1.0314e-04 eta: 0:24:29 time: 6.8161 data_time: 0.5426 memory: 63381 loss_text: 0.1836 loss_kernel: 0.1005 loss_embedding: 0.0053 loss: 0.2894 2022/08/26 21:50:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:51:19 - mmengine - INFO - Epoch(train) [553][5/16] lr: 1.0121e-04 eta: 0:24:29 time: 6.8842 data_time: 0.8175 memory: 63381 loss_text: 0.1880 loss_kernel: 0.1019 loss_embedding: 0.0063 loss: 0.2961 2022/08/26 21:51:44 - mmengine - INFO - Epoch(train) [553][10/16] lr: 1.0121e-04 eta: 0:24:01 time: 5.2497 data_time: 0.7984 memory: 63381 loss_text: 0.1876 loss_kernel: 0.1024 loss_embedding: 0.0076 loss: 0.2977 2022/08/26 21:52:08 - mmengine - INFO - Epoch(train) [553][15/16] lr: 1.0121e-04 eta: 0:24:01 time: 4.8753 data_time: 0.4082 memory: 63381 loss_text: 0.1825 loss_kernel: 0.1013 loss_embedding: 0.0077 loss: 0.2915 2022/08/26 21:52:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:52:59 - mmengine - INFO - Epoch(train) [554][5/16] lr: 9.9265e-05 eta: 0:24:01 time: 7.2195 data_time: 1.0525 memory: 63381 loss_text: 0.1608 loss_kernel: 0.0909 loss_embedding: 0.0064 loss: 0.2580 2022/08/26 21:53:15 - mmengine - INFO - Epoch(train) [554][10/16] lr: 9.9265e-05 eta: 0:23:32 time: 5.5194 data_time: 1.0182 memory: 63381 loss_text: 0.1787 loss_kernel: 0.1005 loss_embedding: 0.0062 loss: 0.2854 2022/08/26 21:53:41 - mmengine - INFO - Epoch(train) [554][15/16] lr: 9.9265e-05 eta: 0:23:32 time: 4.1214 data_time: 0.1831 memory: 63381 loss_text: 0.2031 loss_kernel: 0.1108 loss_embedding: 0.0067 loss: 0.3206 2022/08/26 21:53:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:54:22 - mmengine - INFO - Epoch(train) [555][5/16] lr: 9.7321e-05 eta: 0:23:32 time: 6.2974 data_time: 0.8791 memory: 63381 loss_text: 0.1894 loss_kernel: 0.1030 loss_embedding: 0.0060 loss: 0.2984 2022/08/26 21:54:45 - mmengine - INFO - Epoch(train) [555][10/16] lr: 9.7321e-05 eta: 0:23:04 time: 5.3421 data_time: 0.8893 memory: 63381 loss_text: 0.1941 loss_kernel: 0.1069 loss_embedding: 0.0069 loss: 0.3079 2022/08/26 21:55:12 - mmengine - INFO - Epoch(train) [555][15/16] lr: 9.7321e-05 eta: 0:23:04 time: 4.8842 data_time: 0.1701 memory: 63381 loss_text: 0.1928 loss_kernel: 0.1070 loss_embedding: 0.0073 loss: 0.3071 2022/08/26 21:55:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:55:48 - mmengine - INFO - Epoch(train) [556][5/16] lr: 9.5373e-05 eta: 0:23:04 time: 5.7046 data_time: 0.9091 memory: 63381 loss_text: 0.1757 loss_kernel: 0.0981 loss_embedding: 0.0075 loss: 0.2813 2022/08/26 21:56:13 - mmengine - INFO - Epoch(train) [556][10/16] lr: 9.5373e-05 eta: 0:22:35 time: 5.5684 data_time: 0.8702 memory: 63381 loss_text: 0.1981 loss_kernel: 0.1071 loss_embedding: 0.0061 loss: 0.3113 2022/08/26 21:56:35 - mmengine - INFO - Epoch(train) [556][15/16] lr: 9.5373e-05 eta: 0:22:35 time: 4.6503 data_time: 0.2411 memory: 63381 loss_text: 0.1928 loss_kernel: 0.1036 loss_embedding: 0.0053 loss: 0.3017 2022/08/26 21:56:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:57:07 - mmengine - INFO - Epoch(train) [557][5/16] lr: 9.3419e-05 eta: 0:22:35 time: 5.1659 data_time: 0.8874 memory: 63381 loss_text: 0.1673 loss_kernel: 0.0925 loss_embedding: 0.0066 loss: 0.2664 2022/08/26 21:57:35 - mmengine - INFO - Epoch(train) [557][10/16] lr: 9.3419e-05 eta: 0:22:07 time: 5.8945 data_time: 0.9610 memory: 63381 loss_text: 0.1868 loss_kernel: 0.1015 loss_embedding: 0.0064 loss: 0.2947 2022/08/26 21:57:55 - mmengine - INFO - Epoch(train) [557][15/16] lr: 9.3419e-05 eta: 0:22:07 time: 4.8275 data_time: 0.2276 memory: 63381 loss_text: 0.1954 loss_kernel: 0.1026 loss_embedding: 0.0059 loss: 0.3039 2022/08/26 21:57:57 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:58:15 - mmengine - INFO - Epoch(train) [558][5/16] lr: 9.1462e-05 eta: 0:22:07 time: 3.7002 data_time: 0.5473 memory: 63381 loss_text: 0.1714 loss_kernel: 0.0926 loss_embedding: 0.0072 loss: 0.2712 2022/08/26 21:58:30 - mmengine - INFO - Epoch(train) [558][10/16] lr: 9.1462e-05 eta: 0:21:36 time: 3.3142 data_time: 0.6029 memory: 63381 loss_text: 0.1639 loss_kernel: 0.0912 loss_embedding: 0.0066 loss: 0.2616 2022/08/26 21:58:43 - mmengine - INFO - Epoch(train) [558][15/16] lr: 9.1462e-05 eta: 0:21:36 time: 2.8508 data_time: 0.1527 memory: 63381 loss_text: 0.1799 loss_kernel: 0.0999 loss_embedding: 0.0058 loss: 0.2856 2022/08/26 21:58:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:59:04 - mmengine - INFO - Epoch(train) [559][5/16] lr: 8.9500e-05 eta: 0:21:36 time: 3.1491 data_time: 0.5954 memory: 63381 loss_text: 0.1679 loss_kernel: 0.0945 loss_embedding: 0.0059 loss: 0.2682 2022/08/26 21:59:18 - mmengine - INFO - Epoch(train) [559][10/16] lr: 8.9500e-05 eta: 0:21:06 time: 3.1869 data_time: 0.6958 memory: 63381 loss_text: 0.1741 loss_kernel: 0.0957 loss_embedding: 0.0054 loss: 0.2752 2022/08/26 21:59:31 - mmengine - INFO - Epoch(train) [559][15/16] lr: 8.9500e-05 eta: 0:21:06 time: 2.7072 data_time: 0.2219 memory: 63381 loss_text: 0.1935 loss_kernel: 0.1041 loss_embedding: 0.0058 loss: 0.3034 2022/08/26 21:59:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 21:59:53 - mmengine - INFO - Epoch(train) [560][5/16] lr: 8.7533e-05 eta: 0:21:06 time: 3.2643 data_time: 0.5824 memory: 63381 loss_text: 0.1916 loss_kernel: 0.1049 loss_embedding: 0.0062 loss: 0.3027 2022/08/26 22:00:05 - mmengine - INFO - Epoch(train) [560][10/16] lr: 8.7533e-05 eta: 0:20:35 time: 3.2521 data_time: 0.6102 memory: 63381 loss_text: 0.1765 loss_kernel: 0.0979 loss_embedding: 0.0059 loss: 0.2802 2022/08/26 22:00:18 - mmengine - INFO - Epoch(train) [560][15/16] lr: 8.7533e-05 eta: 0:20:35 time: 2.5286 data_time: 0.1092 memory: 63381 loss_text: 0.1705 loss_kernel: 0.0957 loss_embedding: 0.0059 loss: 0.2721 2022/08/26 22:00:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:00:20 - mmengine - INFO - Saving checkpoint at 560 epochs 2022/08/26 22:00:24 - mmengine - INFO - Epoch(val) [560][5/500] eta: 0:20:35 time: 0.0985 data_time: 0.0321 memory: 39748 2022/08/26 22:00:24 - mmengine - INFO - Epoch(val) [560][10/500] eta: 0:00:49 time: 0.1003 data_time: 0.0321 memory: 661 2022/08/26 22:00:24 - mmengine - INFO - Epoch(val) [560][15/500] eta: 0:00:49 time: 0.0234 data_time: 0.0024 memory: 661 2022/08/26 22:00:24 - mmengine - INFO - Epoch(val) [560][20/500] eta: 0:00:10 time: 0.0222 data_time: 0.0024 memory: 661 2022/08/26 22:00:24 - mmengine - INFO - Epoch(val) [560][25/500] eta: 0:00:10 time: 0.0220 data_time: 0.0023 memory: 661 2022/08/26 22:00:24 - mmengine - INFO - Epoch(val) [560][30/500] eta: 0:00:11 time: 0.0245 data_time: 0.0023 memory: 661 2022/08/26 22:00:25 - mmengine - INFO - Epoch(val) [560][35/500] eta: 0:00:11 time: 0.0248 data_time: 0.0022 memory: 661 2022/08/26 22:00:25 - mmengine - INFO - Epoch(val) [560][40/500] eta: 0:00:11 time: 0.0257 data_time: 0.0023 memory: 661 2022/08/26 22:00:25 - mmengine - INFO - Epoch(val) [560][45/500] eta: 0:00:11 time: 0.0267 data_time: 0.0024 memory: 661 2022/08/26 22:00:25 - mmengine - INFO - Epoch(val) [560][50/500] eta: 0:00:10 time: 0.0239 data_time: 0.0024 memory: 661 2022/08/26 22:00:25 - mmengine - INFO - Epoch(val) [560][55/500] eta: 0:00:10 time: 0.0239 data_time: 0.0021 memory: 661 2022/08/26 22:00:25 - mmengine - INFO - Epoch(val) [560][60/500] eta: 0:00:09 time: 0.0225 data_time: 0.0019 memory: 661 2022/08/26 22:00:25 - mmengine - INFO - Epoch(val) [560][65/500] eta: 0:00:09 time: 0.0242 data_time: 0.0021 memory: 661 2022/08/26 22:00:25 - mmengine - INFO - Epoch(val) [560][70/500] eta: 0:00:11 time: 0.0260 data_time: 0.0023 memory: 661 2022/08/26 22:00:26 - mmengine - INFO - Epoch(val) [560][75/500] eta: 0:00:11 time: 0.0230 data_time: 0.0023 memory: 661 2022/08/26 22:00:26 - mmengine - INFO - Epoch(val) 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time: 0.0246 data_time: 0.0022 memory: 661 2022/08/26 22:00:27 - mmengine - INFO - Epoch(val) [560][125/500] eta: 0:00:09 time: 0.0226 data_time: 0.0023 memory: 661 2022/08/26 22:00:27 - mmengine - INFO - Epoch(val) [560][130/500] eta: 0:00:08 time: 0.0223 data_time: 0.0023 memory: 661 2022/08/26 22:00:27 - mmengine - INFO - Epoch(val) [560][135/500] eta: 0:00:08 time: 0.0223 data_time: 0.0023 memory: 661 2022/08/26 22:00:27 - mmengine - INFO - Epoch(val) [560][140/500] eta: 0:00:08 time: 0.0234 data_time: 0.0024 memory: 661 2022/08/26 22:00:27 - mmengine - INFO - Epoch(val) [560][145/500] eta: 0:00:08 time: 0.0243 data_time: 0.0023 memory: 661 2022/08/26 22:00:27 - mmengine - INFO - Epoch(val) [560][150/500] eta: 0:00:08 time: 0.0241 data_time: 0.0023 memory: 661 2022/08/26 22:00:27 - mmengine - INFO - Epoch(val) [560][155/500] eta: 0:00:08 time: 0.0274 data_time: 0.0022 memory: 661 2022/08/26 22:00:28 - mmengine - INFO - Epoch(val) [560][160/500] eta: 0:00:09 time: 0.0270 data_time: 0.0021 memory: 661 2022/08/26 22:00:28 - mmengine - INFO - Epoch(val) [560][165/500] eta: 0:00:09 time: 0.0374 data_time: 0.0022 memory: 661 2022/08/26 22:00:28 - mmengine - INFO - Epoch(val) [560][170/500] eta: 0:00:12 time: 0.0381 data_time: 0.0024 memory: 661 2022/08/26 22:00:28 - mmengine - INFO - Epoch(val) [560][175/500] eta: 0:00:12 time: 0.0226 data_time: 0.0023 memory: 661 2022/08/26 22:00:28 - mmengine - INFO - Epoch(val) [560][180/500] eta: 0:00:07 time: 0.0220 data_time: 0.0021 memory: 661 2022/08/26 22:00:28 - mmengine - INFO - Epoch(val) [560][185/500] eta: 0:00:07 time: 0.0243 data_time: 0.0021 memory: 661 2022/08/26 22:00:28 - mmengine - INFO - Epoch(val) [560][190/500] eta: 0:00:07 time: 0.0251 data_time: 0.0022 memory: 661 2022/08/26 22:00:29 - mmengine - INFO - Epoch(val) [560][195/500] eta: 0:00:07 time: 0.0239 data_time: 0.0029 memory: 661 2022/08/26 22:00:29 - mmengine - INFO - Epoch(val) [560][200/500] eta: 0:00:08 time: 0.0268 data_time: 0.0028 memory: 661 2022/08/26 22:00:29 - mmengine - INFO - Epoch(val) [560][205/500] eta: 0:00:08 time: 0.0260 data_time: 0.0021 memory: 661 2022/08/26 22:00:29 - mmengine - INFO - Epoch(val) [560][210/500] eta: 0:00:06 time: 0.0219 data_time: 0.0023 memory: 661 2022/08/26 22:00:29 - mmengine - INFO - Epoch(val) [560][215/500] eta: 0:00:06 time: 0.0235 data_time: 0.0024 memory: 661 2022/08/26 22:00:29 - mmengine - INFO - Epoch(val) [560][220/500] eta: 0:00:06 time: 0.0244 data_time: 0.0024 memory: 661 2022/08/26 22:00:29 - mmengine - INFO - Epoch(val) [560][225/500] eta: 0:00:06 time: 0.0238 data_time: 0.0023 memory: 661 2022/08/26 22:00:29 - mmengine - INFO - Epoch(val) [560][230/500] eta: 0:00:05 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 22:00:30 - mmengine - INFO - Epoch(val) [560][235/500] eta: 0:00:05 time: 0.0219 data_time: 0.0023 memory: 661 2022/08/26 22:00:30 - mmengine - INFO - Epoch(val) [560][240/500] eta: 0:00:06 time: 0.0238 data_time: 0.0024 memory: 661 2022/08/26 22:00:30 - mmengine - INFO - Epoch(val) [560][245/500] eta: 0:00:06 time: 0.0219 data_time: 0.0020 memory: 661 2022/08/26 22:00:30 - mmengine - INFO - Epoch(val) [560][250/500] eta: 0:00:05 time: 0.0237 data_time: 0.0022 memory: 661 2022/08/26 22:00:30 - mmengine - INFO - Epoch(val) [560][255/500] eta: 0:00:05 time: 0.0241 data_time: 0.0022 memory: 661 2022/08/26 22:00:30 - mmengine - INFO - Epoch(val) [560][260/500] eta: 0:00:05 time: 0.0214 data_time: 0.0020 memory: 661 2022/08/26 22:00:30 - mmengine - INFO - Epoch(val) [560][265/500] eta: 0:00:05 time: 0.0212 data_time: 0.0020 memory: 661 2022/08/26 22:00:30 - mmengine - INFO - Epoch(val) [560][270/500] eta: 0:00:04 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 22:00:30 - mmengine - INFO - Epoch(val) [560][275/500] eta: 0:00:04 time: 0.0216 data_time: 0.0024 memory: 661 2022/08/26 22:00:31 - mmengine - INFO - Epoch(val) [560][280/500] eta: 0:00:05 time: 0.0229 data_time: 0.0024 memory: 661 2022/08/26 22:00:31 - mmengine - INFO - Epoch(val) [560][285/500] eta: 0:00:05 time: 0.0225 data_time: 0.0021 memory: 661 2022/08/26 22:00:31 - mmengine - INFO - Epoch(val) [560][290/500] eta: 0:00:04 time: 0.0232 data_time: 0.0022 memory: 661 2022/08/26 22:00:31 - mmengine - INFO - Epoch(val) [560][295/500] eta: 0:00:04 time: 0.0240 data_time: 0.0022 memory: 661 2022/08/26 22:00:31 - mmengine - INFO - Epoch(val) [560][300/500] eta: 0:00:04 time: 0.0222 data_time: 0.0021 memory: 661 2022/08/26 22:00:31 - mmengine - INFO - Epoch(val) [560][305/500] eta: 0:00:04 time: 0.0228 data_time: 0.0021 memory: 661 2022/08/26 22:00:31 - mmengine - INFO - Epoch(val) [560][310/500] eta: 0:00:04 time: 0.0228 data_time: 0.0022 memory: 661 2022/08/26 22:00:31 - mmengine - INFO - Epoch(val) [560][315/500] eta: 0:00:04 time: 0.0246 data_time: 0.0022 memory: 661 2022/08/26 22:00:31 - mmengine - INFO - Epoch(val) [560][320/500] eta: 0:00:04 time: 0.0245 data_time: 0.0025 memory: 661 2022/08/26 22:00:32 - mmengine - INFO - Epoch(val) [560][325/500] eta: 0:00:04 time: 0.0317 data_time: 0.0023 memory: 661 2022/08/26 22:00:32 - mmengine - INFO - Epoch(val) [560][330/500] eta: 0:00:05 time: 0.0311 data_time: 0.0020 memory: 661 2022/08/26 22:00:32 - mmengine - INFO - Epoch(val) [560][335/500] eta: 0:00:05 time: 0.0209 data_time: 0.0021 memory: 661 2022/08/26 22:00:32 - mmengine - INFO - Epoch(val) [560][340/500] eta: 0:00:04 time: 0.0251 data_time: 0.0021 memory: 661 2022/08/26 22:00:32 - mmengine - INFO - Epoch(val) [560][345/500] eta: 0:00:04 time: 0.0256 data_time: 0.0021 memory: 661 2022/08/26 22:00:32 - mmengine - INFO - Epoch(val) [560][350/500] eta: 0:00:03 time: 0.0244 data_time: 0.0020 memory: 661 2022/08/26 22:00:32 - mmengine - INFO - Epoch(val) [560][355/500] eta: 0:00:03 time: 0.0235 data_time: 0.0019 memory: 661 2022/08/26 22:00:32 - mmengine - INFO - Epoch(val) [560][360/500] eta: 0:00:02 time: 0.0206 data_time: 0.0019 memory: 661 2022/08/26 22:00:33 - mmengine - INFO - Epoch(val) [560][365/500] eta: 0:00:02 time: 0.0215 data_time: 0.0020 memory: 661 2022/08/26 22:00:33 - mmengine - INFO - Epoch(val) [560][370/500] eta: 0:00:02 time: 0.0205 data_time: 0.0020 memory: 661 2022/08/26 22:00:33 - mmengine - INFO - Epoch(val) [560][375/500] eta: 0:00:02 time: 0.0197 data_time: 0.0020 memory: 661 2022/08/26 22:00:33 - mmengine - INFO - Epoch(val) [560][380/500] eta: 0:00:02 time: 0.0221 data_time: 0.0020 memory: 661 2022/08/26 22:00:33 - mmengine - INFO - Epoch(val) [560][385/500] eta: 0:00:02 time: 0.0224 data_time: 0.0019 memory: 661 2022/08/26 22:00:33 - mmengine - INFO - Epoch(val) [560][390/500] eta: 0:00:02 time: 0.0223 data_time: 0.0023 memory: 661 2022/08/26 22:00:33 - mmengine - INFO - Epoch(val) [560][395/500] eta: 0:00:02 time: 0.0228 data_time: 0.0023 memory: 661 2022/08/26 22:00:33 - mmengine - INFO - Epoch(val) [560][400/500] eta: 0:00:02 time: 0.0209 data_time: 0.0021 memory: 661 2022/08/26 22:00:33 - mmengine - INFO - Epoch(val) [560][405/500] eta: 0:00:02 time: 0.0205 data_time: 0.0020 memory: 661 2022/08/26 22:00:34 - mmengine - INFO - Epoch(val) [560][410/500] eta: 0:00:02 time: 0.0239 data_time: 0.0040 memory: 661 2022/08/26 22:00:34 - mmengine - INFO - Epoch(val) [560][415/500] eta: 0:00:02 time: 0.0444 data_time: 0.0050 memory: 661 2022/08/26 22:00:34 - mmengine - INFO - Epoch(val) [560][420/500] eta: 0:00:03 time: 0.0404 data_time: 0.0030 memory: 661 2022/08/26 22:00:34 - mmengine - INFO - Epoch(val) [560][425/500] eta: 0:00:03 time: 0.0208 data_time: 0.0021 memory: 661 2022/08/26 22:00:34 - mmengine - INFO - Epoch(val) [560][430/500] eta: 0:00:01 time: 0.0278 data_time: 0.0020 memory: 661 2022/08/26 22:00:34 - mmengine - INFO - Epoch(val) [560][435/500] eta: 0:00:01 time: 0.0268 data_time: 0.0018 memory: 661 2022/08/26 22:00:34 - mmengine - INFO - Epoch(val) [560][440/500] eta: 0:00:01 time: 0.0217 data_time: 0.0020 memory: 661 2022/08/26 22:00:35 - mmengine - INFO - Epoch(val) [560][445/500] eta: 0:00:01 time: 0.0241 data_time: 0.0021 memory: 661 2022/08/26 22:00:35 - mmengine - INFO - Epoch(val) [560][450/500] eta: 0:00:04 time: 0.0897 data_time: 0.0023 memory: 661 2022/08/26 22:00:36 - mmengine - INFO - Epoch(val) [560][455/500] eta: 0:00:04 time: 0.1094 data_time: 0.0038 memory: 661 2022/08/26 22:00:36 - mmengine - INFO - Epoch(val) [560][460/500] eta: 0:00:03 time: 0.0781 data_time: 0.0153 memory: 661 2022/08/26 22:00:36 - mmengine - INFO - Epoch(val) [560][465/500] eta: 0:00:03 time: 0.0642 data_time: 0.0138 memory: 661 2022/08/26 22:00:36 - mmengine - INFO - Epoch(val) [560][470/500] eta: 0:00:00 time: 0.0284 data_time: 0.0021 memory: 661 2022/08/26 22:00:37 - mmengine - INFO - Epoch(val) [560][475/500] eta: 0:00:00 time: 0.0237 data_time: 0.0021 memory: 661 2022/08/26 22:00:37 - mmengine - INFO - Epoch(val) [560][480/500] eta: 0:00:00 time: 0.0259 data_time: 0.0025 memory: 661 2022/08/26 22:00:37 - mmengine - INFO - Epoch(val) [560][485/500] eta: 0:00:00 time: 0.0233 data_time: 0.0025 memory: 661 2022/08/26 22:00:37 - mmengine - INFO - Epoch(val) [560][490/500] eta: 0:00:00 time: 0.0231 data_time: 0.0021 memory: 661 2022/08/26 22:00:37 - mmengine - INFO - Epoch(val) [560][495/500] eta: 0:00:00 time: 0.0244 data_time: 0.0021 memory: 661 2022/08/26 22:00:37 - mmengine - INFO - Epoch(val) [560][500/500] eta: 0:00:00 time: 0.0230 data_time: 0.0022 memory: 661 2022/08/26 22:00:37 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7443, precision: 0.7804, hmean: 0.7620 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7443, precision: 0.7804, hmean: 0.7620 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7443, precision: 0.7804, hmean: 0.7620 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7443, precision: 0.7804, hmean: 0.7620 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7443, precision: 0.7804, hmean: 0.7620 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7443, precision: 0.7804, hmean: 0.7620 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7443, precision: 0.7828, hmean: 0.7631 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7443, precision: 0.7888, hmean: 0.7659 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7443, precision: 0.7998, hmean: 0.7711 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7429, precision: 0.8113, hmean: 0.7756 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7381, precision: 0.8193, hmean: 0.7766 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7304, precision: 0.8321, hmean: 0.7779 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7015, precision: 0.8586, hmean: 0.7721 2022/08/26 22:00:37 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4584, precision: 0.9049, hmean: 0.6085 2022/08/26 22:00:37 - mmengine - INFO - Epoch(val) [560][500/500] icdar/precision: 0.8321 icdar/recall: 0.7304 icdar/hmean: 0.7779 2022/08/26 22:01:09 - mmengine - INFO - Epoch(train) [561][5/16] lr: 8.5561e-05 eta: 0:00:00 time: 4.3113 data_time: 0.6523 memory: 63381 loss_text: 0.1742 loss_kernel: 0.0979 loss_embedding: 0.0069 loss: 0.2789 2022/08/26 22:01:26 - mmengine - INFO - Epoch(train) [561][10/16] lr: 8.5561e-05 eta: 0:20:06 time: 4.8878 data_time: 0.8436 memory: 63381 loss_text: 0.1956 loss_kernel: 0.1084 loss_embedding: 0.0065 loss: 0.3104 2022/08/26 22:01:51 - mmengine - INFO - Epoch(train) [561][15/16] lr: 8.5561e-05 eta: 0:20:06 time: 4.2539 data_time: 0.2697 memory: 63381 loss_text: 0.1992 loss_kernel: 0.1097 loss_embedding: 0.0061 loss: 0.3149 2022/08/26 22:01:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:02:37 - mmengine - INFO - Epoch(train) [562][5/16] lr: 8.3584e-05 eta: 0:20:06 time: 6.5368 data_time: 0.8883 memory: 63381 loss_text: 0.1812 loss_kernel: 0.0991 loss_embedding: 0.0071 loss: 0.2875 2022/08/26 22:03:01 - mmengine - INFO - Epoch(train) [562][10/16] lr: 8.3584e-05 eta: 0:19:38 time: 6.6948 data_time: 0.9847 memory: 63381 loss_text: 0.1717 loss_kernel: 0.0942 loss_embedding: 0.0068 loss: 0.2728 2022/08/26 22:03:23 - mmengine - INFO - Epoch(train) [562][15/16] lr: 8.3584e-05 eta: 0:19:38 time: 4.5706 data_time: 0.2713 memory: 63381 loss_text: 0.1800 loss_kernel: 0.0997 loss_embedding: 0.0069 loss: 0.2866 2022/08/26 22:03:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:03:52 - mmengine - INFO - Epoch(train) [563][5/16] lr: 8.1601e-05 eta: 0:19:38 time: 4.8659 data_time: 0.8183 memory: 63381 loss_text: 0.1690 loss_kernel: 0.0937 loss_embedding: 0.0073 loss: 0.2700 2022/08/26 22:04:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:04:12 - mmengine - INFO - Epoch(train) [563][10/16] lr: 8.1601e-05 eta: 0:19:08 time: 4.6978 data_time: 0.8704 memory: 63381 loss_text: 0.1779 loss_kernel: 0.0996 loss_embedding: 0.0064 loss: 0.2839 2022/08/26 22:04:33 - mmengine - INFO - Epoch(train) [563][15/16] lr: 8.1601e-05 eta: 0:19:08 time: 4.0555 data_time: 0.1626 memory: 63381 loss_text: 0.1880 loss_kernel: 0.1030 loss_embedding: 0.0059 loss: 0.2969 2022/08/26 22:04:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:05:02 - mmengine - INFO - Epoch(train) [564][5/16] lr: 7.9614e-05 eta: 0:19:08 time: 4.8139 data_time: 0.8439 memory: 63381 loss_text: 0.1760 loss_kernel: 0.0977 loss_embedding: 0.0063 loss: 0.2800 2022/08/26 22:05:22 - mmengine - INFO - Epoch(train) [564][10/16] lr: 7.9614e-05 eta: 0:18:39 time: 4.8021 data_time: 0.9209 memory: 63381 loss_text: 0.1666 loss_kernel: 0.0935 loss_embedding: 0.0062 loss: 0.2662 2022/08/26 22:05:50 - mmengine - INFO - Epoch(train) [564][15/16] lr: 7.9614e-05 eta: 0:18:39 time: 4.7728 data_time: 0.2620 memory: 63381 loss_text: 0.1867 loss_kernel: 0.1030 loss_embedding: 0.0059 loss: 0.2957 2022/08/26 22:05:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:06:23 - mmengine - INFO - Epoch(train) [565][5/16] lr: 7.7621e-05 eta: 0:18:39 time: 5.7063 data_time: 0.8579 memory: 63381 loss_text: 0.1947 loss_kernel: 0.1080 loss_embedding: 0.0062 loss: 0.3089 2022/08/26 22:06:46 - mmengine - INFO - Epoch(train) [565][10/16] lr: 7.7621e-05 eta: 0:18:09 time: 5.2664 data_time: 0.8086 memory: 63381 loss_text: 0.1858 loss_kernel: 0.1046 loss_embedding: 0.0055 loss: 0.2959 2022/08/26 22:07:11 - mmengine - INFO - Epoch(train) [565][15/16] lr: 7.7621e-05 eta: 0:18:09 time: 4.7561 data_time: 0.2056 memory: 63381 loss_text: 0.1746 loss_kernel: 0.0983 loss_embedding: 0.0059 loss: 0.2788 2022/08/26 22:07:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:07:48 - mmengine - INFO - Epoch(train) [566][5/16] lr: 7.5622e-05 eta: 0:18:09 time: 5.5335 data_time: 0.8585 memory: 63381 loss_text: 0.1838 loss_kernel: 0.0989 loss_embedding: 0.0065 loss: 0.2892 2022/08/26 22:08:11 - mmengine - INFO - Epoch(train) [566][10/16] lr: 7.5622e-05 eta: 0:17:40 time: 5.7073 data_time: 1.0011 memory: 63381 loss_text: 0.1942 loss_kernel: 0.1040 loss_embedding: 0.0069 loss: 0.3051 2022/08/26 22:08:36 - mmengine - INFO - Epoch(train) [566][15/16] lr: 7.5622e-05 eta: 0:17:40 time: 4.8146 data_time: 0.4644 memory: 63381 loss_text: 0.1896 loss_kernel: 0.1032 loss_embedding: 0.0075 loss: 0.3003 2022/08/26 22:08:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:09:17 - mmengine - INFO - Epoch(train) [567][5/16] lr: 7.3617e-05 eta: 0:17:40 time: 6.3124 data_time: 1.1016 memory: 63381 loss_text: 0.1722 loss_kernel: 0.0955 loss_embedding: 0.0066 loss: 0.2744 2022/08/26 22:09:41 - mmengine - INFO - Epoch(train) [567][10/16] lr: 7.3617e-05 eta: 0:17:11 time: 5.5479 data_time: 0.9975 memory: 63381 loss_text: 0.1812 loss_kernel: 0.1000 loss_embedding: 0.0065 loss: 0.2877 2022/08/26 22:10:04 - mmengine - INFO - Epoch(train) [567][15/16] lr: 7.3617e-05 eta: 0:17:11 time: 4.7079 data_time: 0.3076 memory: 63381 loss_text: 0.2109 loss_kernel: 0.1134 loss_embedding: 0.0062 loss: 0.3305 2022/08/26 22:10:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:10:36 - mmengine - INFO - Epoch(train) [568][5/16] lr: 7.1606e-05 eta: 0:17:11 time: 5.2196 data_time: 0.7679 memory: 63381 loss_text: 0.1969 loss_kernel: 0.1073 loss_embedding: 0.0059 loss: 0.3101 2022/08/26 22:11:06 - mmengine - INFO - Epoch(train) [568][10/16] lr: 7.1606e-05 eta: 0:16:41 time: 5.8602 data_time: 0.8048 memory: 63381 loss_text: 0.1636 loss_kernel: 0.0917 loss_embedding: 0.0059 loss: 0.2612 2022/08/26 22:11:29 - mmengine - INFO - Epoch(train) [568][15/16] lr: 7.1606e-05 eta: 0:16:41 time: 5.3230 data_time: 0.3766 memory: 63381 loss_text: 0.1713 loss_kernel: 0.0948 loss_embedding: 0.0059 loss: 0.2721 2022/08/26 22:11:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:12:06 - mmengine - INFO - Epoch(train) [569][5/16] lr: 6.9589e-05 eta: 0:16:41 time: 5.4218 data_time: 1.0019 memory: 63381 loss_text: 0.1813 loss_kernel: 0.1008 loss_embedding: 0.0064 loss: 0.2884 2022/08/26 22:12:34 - mmengine - INFO - Epoch(train) [569][10/16] lr: 6.9589e-05 eta: 0:16:12 time: 6.0120 data_time: 1.0182 memory: 63381 loss_text: 0.1827 loss_kernel: 0.1017 loss_embedding: 0.0067 loss: 0.2911 2022/08/26 22:13:01 - mmengine - INFO - Epoch(train) [569][15/16] lr: 6.9589e-05 eta: 0:16:12 time: 5.5718 data_time: 0.3050 memory: 63381 loss_text: 0.1764 loss_kernel: 0.0976 loss_embedding: 0.0065 loss: 0.2806 2022/08/26 22:13:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:13:40 - mmengine - INFO - Epoch(train) [570][5/16] lr: 6.7565e-05 eta: 0:16:12 time: 5.9791 data_time: 1.0480 memory: 63381 loss_text: 0.1779 loss_kernel: 0.0976 loss_embedding: 0.0073 loss: 0.2827 2022/08/26 22:13:56 - mmengine - INFO - Epoch(train) [570][10/16] lr: 6.7565e-05 eta: 0:15:42 time: 4.7123 data_time: 1.0176 memory: 63381 loss_text: 0.1935 loss_kernel: 0.1058 loss_embedding: 0.0067 loss: 0.3060 2022/08/26 22:14:27 - mmengine - INFO - Epoch(train) [570][15/16] lr: 6.7565e-05 eta: 0:15:42 time: 4.6344 data_time: 0.1856 memory: 63381 loss_text: 0.2016 loss_kernel: 0.1107 loss_embedding: 0.0060 loss: 0.3184 2022/08/26 22:14:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:15:01 - mmengine - INFO - Epoch(train) [571][5/16] lr: 6.5535e-05 eta: 0:15:42 time: 5.2578 data_time: 0.8997 memory: 63381 loss_text: 0.2116 loss_kernel: 0.1164 loss_embedding: 0.0062 loss: 0.3342 2022/08/26 22:15:18 - mmengine - INFO - Epoch(train) [571][10/16] lr: 6.5535e-05 eta: 0:15:12 time: 4.6123 data_time: 0.8799 memory: 63381 loss_text: 0.2061 loss_kernel: 0.1137 loss_embedding: 0.0061 loss: 0.3260 2022/08/26 22:15:46 - mmengine - INFO - Epoch(train) [571][15/16] lr: 6.5535e-05 eta: 0:15:12 time: 4.4345 data_time: 0.2067 memory: 63381 loss_text: 0.2022 loss_kernel: 0.1105 loss_embedding: 0.0061 loss: 0.3188 2022/08/26 22:15:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:16:15 - mmengine - INFO - Epoch(train) [572][5/16] lr: 6.3498e-05 eta: 0:15:12 time: 5.2357 data_time: 0.7274 memory: 63381 loss_text: 0.2047 loss_kernel: 0.1082 loss_embedding: 0.0055 loss: 0.3184 2022/08/26 22:16:42 - mmengine - INFO - Epoch(train) [572][10/16] lr: 6.3498e-05 eta: 0:14:42 time: 5.2208 data_time: 0.7969 memory: 63381 loss_text: 0.1837 loss_kernel: 0.1002 loss_embedding: 0.0058 loss: 0.2897 2022/08/26 22:17:12 - mmengine - INFO - Epoch(train) [572][15/16] lr: 6.3498e-05 eta: 0:14:42 time: 5.6252 data_time: 0.4457 memory: 63381 loss_text: 0.1893 loss_kernel: 0.1022 loss_embedding: 0.0065 loss: 0.2980 2022/08/26 22:17:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:17:58 - mmengine - INFO - Epoch(train) [573][5/16] lr: 6.1453e-05 eta: 0:14:42 time: 6.8904 data_time: 1.3006 memory: 63381 loss_text: 0.1900 loss_kernel: 0.1017 loss_embedding: 0.0063 loss: 0.2980 2022/08/26 22:18:17 - mmengine - INFO - Epoch(train) [573][10/16] lr: 6.1453e-05 eta: 0:14:12 time: 6.2867 data_time: 1.1332 memory: 63381 loss_text: 0.1579 loss_kernel: 0.0875 loss_embedding: 0.0063 loss: 0.2517 2022/08/26 22:18:40 - mmengine - INFO - Epoch(train) [573][15/16] lr: 6.1453e-05 eta: 0:14:12 time: 4.1428 data_time: 0.1806 memory: 63381 loss_text: 0.1652 loss_kernel: 0.0921 loss_embedding: 0.0060 loss: 0.2634 2022/08/26 22:18:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:19:19 - mmengine - INFO - Epoch(train) [574][5/16] lr: 5.9401e-05 eta: 0:14:12 time: 5.3263 data_time: 0.7524 memory: 63381 loss_text: 0.1726 loss_kernel: 0.0962 loss_embedding: 0.0056 loss: 0.2743 2022/08/26 22:19:36 - mmengine - INFO - Epoch(train) [574][10/16] lr: 5.9401e-05 eta: 0:13:42 time: 4.8467 data_time: 0.7850 memory: 63381 loss_text: 0.1752 loss_kernel: 0.0975 loss_embedding: 0.0064 loss: 0.2791 2022/08/26 22:20:03 - mmengine - INFO - Epoch(train) [574][15/16] lr: 5.9401e-05 eta: 0:13:42 time: 4.4132 data_time: 0.2087 memory: 63381 loss_text: 0.1991 loss_kernel: 0.1093 loss_embedding: 0.0061 loss: 0.3145 2022/08/26 22:20:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:20:36 - mmengine - INFO - Epoch(train) [575][5/16] lr: 5.7341e-05 eta: 0:13:42 time: 5.2001 data_time: 0.6887 memory: 63381 loss_text: 0.1887 loss_kernel: 0.1034 loss_embedding: 0.0058 loss: 0.2980 2022/08/26 22:21:00 - mmengine - INFO - Epoch(train) [575][10/16] lr: 5.7341e-05 eta: 0:13:11 time: 5.2280 data_time: 0.7331 memory: 63381 loss_text: 0.1632 loss_kernel: 0.0910 loss_embedding: 0.0063 loss: 0.2604 2022/08/26 22:21:22 - mmengine - INFO - Epoch(train) [575][15/16] lr: 5.7341e-05 eta: 0:13:11 time: 4.6123 data_time: 0.1890 memory: 63381 loss_text: 0.1761 loss_kernel: 0.0971 loss_embedding: 0.0063 loss: 0.2795 2022/08/26 22:21:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:22:05 - mmengine - INFO - Epoch(train) [576][5/16] lr: 5.5272e-05 eta: 0:13:11 time: 5.9252 data_time: 1.0957 memory: 63381 loss_text: 0.1924 loss_kernel: 0.1054 loss_embedding: 0.0062 loss: 0.3039 2022/08/26 22:22:30 - mmengine - INFO - Epoch(train) [576][10/16] lr: 5.5272e-05 eta: 0:12:42 time: 6.5326 data_time: 1.1465 memory: 63381 loss_text: 0.1776 loss_kernel: 0.0980 loss_embedding: 0.0062 loss: 0.2818 2022/08/26 22:22:56 - mmengine - INFO - Epoch(train) [576][15/16] lr: 5.5272e-05 eta: 0:12:42 time: 5.0743 data_time: 0.2280 memory: 63381 loss_text: 0.1706 loss_kernel: 0.0938 loss_embedding: 0.0059 loss: 0.2704 2022/08/26 22:22:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:23:30 - mmengine - INFO - Epoch(train) [577][5/16] lr: 5.3195e-05 eta: 0:12:42 time: 5.4382 data_time: 0.8622 memory: 63381 loss_text: 0.1945 loss_kernel: 0.1067 loss_embedding: 0.0054 loss: 0.3066 2022/08/26 22:23:52 - mmengine - INFO - Epoch(train) [577][10/16] lr: 5.3195e-05 eta: 0:12:11 time: 5.4432 data_time: 0.9401 memory: 63381 loss_text: 0.1852 loss_kernel: 0.1025 loss_embedding: 0.0055 loss: 0.2933 2022/08/26 22:24:16 - mmengine - INFO - Epoch(train) [577][15/16] lr: 5.3195e-05 eta: 0:12:11 time: 4.5156 data_time: 0.3912 memory: 63381 loss_text: 0.1739 loss_kernel: 0.0966 loss_embedding: 0.0070 loss: 0.2774 2022/08/26 22:24:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:25:03 - mmengine - INFO - Epoch(train) [578][5/16] lr: 5.1109e-05 eta: 0:12:11 time: 5.9520 data_time: 0.9563 memory: 63381 loss_text: 0.1760 loss_kernel: 0.0961 loss_embedding: 0.0072 loss: 0.2793 2022/08/26 22:25:37 - mmengine - INFO - Epoch(train) [578][10/16] lr: 5.1109e-05 eta: 0:11:41 time: 6.5644 data_time: 1.0837 memory: 63381 loss_text: 0.1815 loss_kernel: 0.0984 loss_embedding: 0.0065 loss: 0.2864 2022/08/26 22:26:07 - mmengine - INFO - Epoch(train) [578][15/16] lr: 5.1109e-05 eta: 0:11:41 time: 6.4714 data_time: 0.6127 memory: 63381 loss_text: 0.1890 loss_kernel: 0.1035 loss_embedding: 0.0062 loss: 0.2987 2022/08/26 22:26:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:26:47 - mmengine - INFO - Epoch(train) [579][5/16] lr: 4.9013e-05 eta: 0:11:41 time: 6.3061 data_time: 0.8595 memory: 63381 loss_text: 0.2008 loss_kernel: 0.1088 loss_embedding: 0.0054 loss: 0.3150 2022/08/26 22:27:21 - mmengine - INFO - Epoch(train) [579][10/16] lr: 4.9013e-05 eta: 0:11:11 time: 7.1353 data_time: 1.0167 memory: 63381 loss_text: 0.2033 loss_kernel: 0.1101 loss_embedding: 0.0056 loss: 0.3190 2022/08/26 22:27:46 - mmengine - INFO - Epoch(train) [579][15/16] lr: 4.9013e-05 eta: 0:11:11 time: 5.8761 data_time: 0.3952 memory: 63381 loss_text: 0.1858 loss_kernel: 0.1022 loss_embedding: 0.0059 loss: 0.2938 2022/08/26 22:27:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:28:19 - mmengine - INFO - Epoch(train) [580][5/16] lr: 4.6908e-05 eta: 0:11:11 time: 5.1425 data_time: 0.8626 memory: 63381 loss_text: 0.1697 loss_kernel: 0.0950 loss_embedding: 0.0053 loss: 0.2699 2022/08/26 22:28:54 - mmengine - INFO - Epoch(train) [580][10/16] lr: 4.6908e-05 eta: 0:10:41 time: 6.4704 data_time: 0.8992 memory: 63381 loss_text: 0.1829 loss_kernel: 0.1018 loss_embedding: 0.0052 loss: 0.2900 2022/08/26 22:29:05 - mmengine - INFO - Epoch(train) [580][15/16] lr: 4.6908e-05 eta: 0:10:41 time: 4.6250 data_time: 0.1646 memory: 63381 loss_text: 0.1824 loss_kernel: 0.1010 loss_embedding: 0.0059 loss: 0.2893 2022/08/26 22:29:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:29:07 - mmengine - INFO - Saving checkpoint at 580 epochs 2022/08/26 22:29:17 - mmengine - INFO - Epoch(val) [580][5/500] eta: 0:10:41 time: 0.2292 data_time: 0.0583 memory: 39748 2022/08/26 22:29:17 - mmengine - INFO - Epoch(val) [580][10/500] eta: 0:01:54 time: 0.2344 data_time: 0.0616 memory: 661 2022/08/26 22:29:17 - mmengine - INFO - Epoch(val) [580][15/500] eta: 0:01:54 time: 0.0272 data_time: 0.0057 memory: 661 2022/08/26 22:29:17 - mmengine - INFO - Epoch(val) [580][20/500] eta: 0:00:18 time: 0.0388 data_time: 0.0188 memory: 661 2022/08/26 22:29:17 - mmengine - INFO - Epoch(val) [580][25/500] eta: 0:00:18 time: 0.0468 data_time: 0.0263 memory: 661 2022/08/26 22:29:18 - mmengine - INFO - Epoch(val) [580][30/500] eta: 0:00:18 time: 0.0401 data_time: 0.0167 memory: 661 2022/08/26 22:29:18 - mmengine - INFO - Epoch(val) [580][35/500] eta: 0:00:18 time: 0.0377 data_time: 0.0149 memory: 661 2022/08/26 22:29:18 - mmengine - INFO - Epoch(val) [580][40/500] eta: 0:00:21 time: 0.0465 data_time: 0.0234 memory: 661 2022/08/26 22:29:18 - mmengine - INFO - Epoch(val) [580][45/500] eta: 0:00:21 time: 0.0460 data_time: 0.0216 memory: 661 2022/08/26 22:29:18 - mmengine - INFO - Epoch(val) [580][50/500] eta: 0:00:15 time: 0.0348 data_time: 0.0123 memory: 661 2022/08/26 22:29:19 - mmengine - INFO - Epoch(val) [580][55/500] eta: 0:00:15 time: 0.0363 data_time: 0.0130 memory: 661 2022/08/26 22:29:19 - mmengine - INFO - Epoch(val) [580][60/500] eta: 0:00:17 time: 0.0408 data_time: 0.0188 memory: 661 2022/08/26 22:29:19 - mmengine - INFO - Epoch(val) [580][65/500] eta: 0:00:17 time: 0.0422 data_time: 0.0190 memory: 661 2022/08/26 22:29:19 - mmengine - INFO - Epoch(val) [580][70/500] eta: 0:00:15 time: 0.0368 data_time: 0.0121 memory: 661 2022/08/26 22:29:19 - mmengine - INFO - Epoch(val) [580][75/500] eta: 0:00:15 time: 0.0362 data_time: 0.0141 memory: 661 2022/08/26 22:29:20 - mmengine - INFO - Epoch(val) [580][80/500] eta: 0:00:18 time: 0.0436 data_time: 0.0229 memory: 661 2022/08/26 22:29:20 - mmengine - INFO - Epoch(val) [580][85/500] eta: 0:00:18 time: 0.0448 data_time: 0.0236 memory: 661 2022/08/26 22:29:20 - mmengine - INFO - Epoch(val) [580][90/500] eta: 0:00:16 time: 0.0391 data_time: 0.0146 memory: 661 2022/08/26 22:29:20 - mmengine - INFO - Epoch(val) [580][95/500] eta: 0:00:16 time: 0.0379 data_time: 0.0126 memory: 661 2022/08/26 22:29:20 - mmengine - INFO - Epoch(val) [580][100/500] eta: 0:00:17 time: 0.0443 data_time: 0.0216 memory: 661 2022/08/26 22:29:21 - mmengine - INFO - Epoch(val) [580][105/500] eta: 0:00:17 time: 0.0434 data_time: 0.0210 memory: 661 2022/08/26 22:29:21 - mmengine - INFO - Epoch(val) [580][110/500] eta: 0:00:13 time: 0.0349 data_time: 0.0126 memory: 661 2022/08/26 22:29:21 - mmengine - INFO - Epoch(val) [580][115/500] eta: 0:00:13 time: 0.0337 data_time: 0.0112 memory: 661 2022/08/26 22:29:21 - mmengine - INFO - Epoch(val) [580][120/500] eta: 0:00:13 time: 0.0347 data_time: 0.0122 memory: 661 2022/08/26 22:29:21 - mmengine - INFO - Epoch(val) [580][125/500] eta: 0:00:13 time: 0.0335 data_time: 0.0124 memory: 661 2022/08/26 22:29:22 - mmengine - INFO - Epoch(val) [580][130/500] eta: 0:00:11 time: 0.0310 data_time: 0.0102 memory: 661 2022/08/26 22:29:22 - mmengine - INFO - Epoch(val) [580][135/500] eta: 0:00:11 time: 0.0300 data_time: 0.0092 memory: 661 2022/08/26 22:29:22 - mmengine - INFO - Epoch(val) [580][140/500] eta: 0:00:12 time: 0.0337 data_time: 0.0127 memory: 661 2022/08/26 22:29:22 - mmengine - INFO - Epoch(val) [580][145/500] eta: 0:00:12 time: 0.0347 data_time: 0.0100 memory: 661 2022/08/26 22:29:22 - mmengine - INFO - Epoch(val) [580][150/500] eta: 0:00:09 time: 0.0276 data_time: 0.0028 memory: 661 2022/08/26 22:29:22 - mmengine - INFO - Epoch(val) [580][155/500] eta: 0:00:09 time: 0.0304 data_time: 0.0049 memory: 661 2022/08/26 22:29:22 - mmengine - INFO - Epoch(val) [580][160/500] eta: 0:00:10 time: 0.0306 data_time: 0.0056 memory: 661 2022/08/26 22:29:23 - mmengine - INFO - Epoch(val) [580][165/500] eta: 0:00:10 time: 0.0283 data_time: 0.0058 memory: 661 2022/08/26 22:29:23 - mmengine - INFO - Epoch(val) [580][170/500] eta: 0:00:09 time: 0.0286 data_time: 0.0055 memory: 661 2022/08/26 22:29:23 - mmengine - INFO - Epoch(val) [580][175/500] eta: 0:00:09 time: 0.0261 data_time: 0.0058 memory: 661 2022/08/26 22:29:23 - mmengine - INFO - Epoch(val) [580][180/500] eta: 0:00:10 time: 0.0325 data_time: 0.0122 memory: 661 2022/08/26 22:29:23 - mmengine - INFO - Epoch(val) [580][185/500] eta: 0:00:10 time: 0.0359 data_time: 0.0129 memory: 661 2022/08/26 22:29:23 - mmengine - INFO - Epoch(val) [580][190/500] eta: 0:00:09 time: 0.0298 data_time: 0.0060 memory: 661 2022/08/26 22:29:23 - mmengine - INFO - Epoch(val) [580][195/500] eta: 0:00:09 time: 0.0278 data_time: 0.0066 memory: 661 2022/08/26 22:29:24 - mmengine - INFO - Epoch(val) [580][200/500] eta: 0:00:10 time: 0.0364 data_time: 0.0129 memory: 661 2022/08/26 22:29:24 - mmengine - INFO - Epoch(val) [580][205/500] eta: 0:00:10 time: 0.0317 data_time: 0.0085 memory: 661 2022/08/26 22:29:24 - mmengine - INFO - Epoch(val) [580][210/500] eta: 0:00:06 time: 0.0225 data_time: 0.0038 memory: 661 2022/08/26 22:29:24 - mmengine - INFO - Epoch(val) [580][215/500] eta: 0:00:06 time: 0.0279 data_time: 0.0065 memory: 661 2022/08/26 22:29:24 - mmengine - INFO - Epoch(val) [580][220/500] eta: 0:00:09 time: 0.0331 data_time: 0.0096 memory: 661 2022/08/26 22:29:24 - mmengine - INFO - Epoch(val) [580][225/500] eta: 0:00:09 time: 0.0331 data_time: 0.0106 memory: 661 2022/08/26 22:29:25 - mmengine - INFO - Epoch(val) [580][230/500] eta: 0:00:08 time: 0.0320 data_time: 0.0094 memory: 661 2022/08/26 22:29:25 - mmengine - INFO - Epoch(val) [580][235/500] eta: 0:00:08 time: 0.0314 data_time: 0.0065 memory: 661 2022/08/26 22:29:25 - mmengine - INFO - Epoch(val) [580][240/500] eta: 0:00:07 time: 0.0288 data_time: 0.0044 memory: 661 2022/08/26 22:29:26 - mmengine - INFO - Epoch(val) [580][245/500] eta: 0:00:07 time: 0.0827 data_time: 0.0556 memory: 661 2022/08/26 22:29:26 - mmengine - INFO - Epoch(val) [580][250/500] eta: 0:00:20 time: 0.0825 data_time: 0.0552 memory: 661 2022/08/26 22:29:26 - mmengine - INFO - Epoch(val) [580][255/500] eta: 0:00:20 time: 0.0275 data_time: 0.0034 memory: 661 2022/08/26 22:29:26 - mmengine - INFO - Epoch(val) [580][260/500] eta: 0:00:06 time: 0.0266 data_time: 0.0024 memory: 661 2022/08/26 22:29:26 - mmengine - INFO - Epoch(val) [580][265/500] eta: 0:00:06 time: 0.0258 data_time: 0.0043 memory: 661 2022/08/26 22:29:26 - mmengine - INFO - Epoch(val) [580][270/500] eta: 0:00:11 time: 0.0501 data_time: 0.0034 memory: 661 2022/08/26 22:29:28 - mmengine - INFO - Epoch(val) [580][275/500] eta: 0:00:11 time: 0.1910 data_time: 0.0257 memory: 661 2022/08/26 22:29:28 - mmengine - INFO - Epoch(val) [580][280/500] eta: 0:00:37 time: 0.1718 data_time: 0.0286 memory: 661 2022/08/26 22:29:28 - mmengine - INFO - Epoch(val) [580][285/500] eta: 0:00:37 time: 0.0310 data_time: 0.0051 memory: 661 2022/08/26 22:29:28 - mmengine - INFO - Epoch(val) [580][290/500] eta: 0:00:05 time: 0.0284 data_time: 0.0044 memory: 661 2022/08/26 22:29:29 - mmengine - INFO - Epoch(val) [580][295/500] eta: 0:00:05 time: 0.0303 data_time: 0.0076 memory: 661 2022/08/26 22:29:29 - mmengine - INFO - Epoch(val) [580][300/500] eta: 0:00:06 time: 0.0345 data_time: 0.0139 memory: 661 2022/08/26 22:29:29 - mmengine - INFO - Epoch(val) [580][305/500] eta: 0:00:06 time: 0.0343 data_time: 0.0140 memory: 661 2022/08/26 22:29:29 - mmengine - INFO - Epoch(val) [580][310/500] eta: 0:00:05 time: 0.0308 data_time: 0.0105 memory: 661 2022/08/26 22:29:29 - mmengine - INFO - Epoch(val) [580][315/500] eta: 0:00:05 time: 0.0341 data_time: 0.0121 memory: 661 2022/08/26 22:29:30 - mmengine - INFO - Epoch(val) [580][320/500] eta: 0:00:06 time: 0.0375 data_time: 0.0163 memory: 661 2022/08/26 22:29:30 - mmengine - INFO - Epoch(val) [580][325/500] eta: 0:00:06 time: 0.0426 data_time: 0.0138 memory: 661 2022/08/26 22:29:30 - mmengine - INFO - Epoch(val) [580][330/500] eta: 0:00:06 time: 0.0362 data_time: 0.0046 memory: 661 2022/08/26 22:29:30 - mmengine - INFO - Epoch(val) [580][335/500] eta: 0:00:06 time: 0.0364 data_time: 0.0024 memory: 661 2022/08/26 22:29:30 - mmengine - INFO - Epoch(val) [580][340/500] eta: 0:00:06 time: 0.0399 data_time: 0.0043 memory: 661 2022/08/26 22:29:30 - mmengine - INFO - Epoch(val) [580][345/500] eta: 0:00:06 time: 0.0327 data_time: 0.0086 memory: 661 2022/08/26 22:29:31 - mmengine - INFO - Epoch(val) [580][350/500] eta: 0:00:05 time: 0.0363 data_time: 0.0126 memory: 661 2022/08/26 22:29:31 - mmengine - INFO - Epoch(val) [580][355/500] eta: 0:00:05 time: 0.0331 data_time: 0.0100 memory: 661 2022/08/26 22:29:31 - mmengine - INFO - Epoch(val) [580][360/500] eta: 0:00:04 time: 0.0355 data_time: 0.0152 memory: 661 2022/08/26 22:29:31 - mmengine - INFO - Epoch(val) [580][365/500] eta: 0:00:04 time: 0.0402 data_time: 0.0191 memory: 661 2022/08/26 22:29:31 - mmengine - INFO - Epoch(val) [580][370/500] eta: 0:00:04 time: 0.0337 data_time: 0.0143 memory: 661 2022/08/26 22:29:31 - mmengine - INFO - Epoch(val) [580][375/500] eta: 0:00:04 time: 0.0322 data_time: 0.0141 memory: 661 2022/08/26 22:29:32 - mmengine - INFO - Epoch(val) [580][380/500] eta: 0:00:04 time: 0.0385 data_time: 0.0174 memory: 661 2022/08/26 22:29:32 - mmengine - INFO - Epoch(val) [580][385/500] eta: 0:00:04 time: 0.0387 data_time: 0.0166 memory: 661 2022/08/26 22:29:32 - mmengine - INFO - Epoch(val) [580][390/500] eta: 0:00:03 time: 0.0354 data_time: 0.0143 memory: 661 2022/08/26 22:29:32 - mmengine - INFO - Epoch(val) [580][395/500] eta: 0:00:03 time: 0.0371 data_time: 0.0149 memory: 661 2022/08/26 22:29:32 - mmengine - INFO - Epoch(val) [580][400/500] eta: 0:00:03 time: 0.0397 data_time: 0.0184 memory: 661 2022/08/26 22:29:33 - mmengine - INFO - Epoch(val) [580][405/500] eta: 0:00:03 time: 0.0388 data_time: 0.0182 memory: 661 2022/08/26 22:29:33 - mmengine - INFO - Epoch(val) [580][410/500] eta: 0:00:03 time: 0.0348 data_time: 0.0115 memory: 661 2022/08/26 22:29:33 - mmengine - INFO - Epoch(val) [580][415/500] eta: 0:00:03 time: 0.0333 data_time: 0.0101 memory: 661 2022/08/26 22:29:33 - mmengine - INFO - Epoch(val) [580][420/500] eta: 0:00:02 time: 0.0367 data_time: 0.0167 memory: 661 2022/08/26 22:29:33 - mmengine - INFO - Epoch(val) [580][425/500] eta: 0:00:02 time: 0.0367 data_time: 0.0172 memory: 661 2022/08/26 22:29:33 - mmengine - INFO - Epoch(val) [580][430/500] eta: 0:00:02 time: 0.0298 data_time: 0.0099 memory: 661 2022/08/26 22:29:34 - mmengine - INFO - Epoch(val) [580][435/500] eta: 0:00:02 time: 0.0283 data_time: 0.0083 memory: 661 2022/08/26 22:29:34 - mmengine - INFO - Epoch(val) [580][440/500] eta: 0:00:01 time: 0.0323 data_time: 0.0118 memory: 661 2022/08/26 22:29:34 - mmengine - INFO - Epoch(val) [580][445/500] eta: 0:00:01 time: 0.0331 data_time: 0.0109 memory: 661 2022/08/26 22:29:34 - mmengine - INFO - Epoch(val) [580][450/500] eta: 0:00:01 time: 0.0288 data_time: 0.0062 memory: 661 2022/08/26 22:29:34 - mmengine - INFO - Epoch(val) [580][455/500] eta: 0:00:01 time: 0.0284 data_time: 0.0071 memory: 661 2022/08/26 22:29:34 - mmengine - INFO - Epoch(val) [580][460/500] eta: 0:00:01 time: 0.0334 data_time: 0.0134 memory: 661 2022/08/26 22:29:35 - mmengine - INFO - Epoch(val) [580][465/500] eta: 0:00:01 time: 0.0337 data_time: 0.0143 memory: 661 2022/08/26 22:29:35 - mmengine - INFO - Epoch(val) [580][470/500] eta: 0:00:01 time: 0.0640 data_time: 0.0326 memory: 661 2022/08/26 22:29:35 - mmengine - INFO - Epoch(val) [580][475/500] eta: 0:00:01 time: 0.0588 data_time: 0.0284 memory: 661 2022/08/26 22:29:35 - mmengine - INFO - Epoch(val) [580][480/500] eta: 0:00:00 time: 0.0335 data_time: 0.0141 memory: 661 2022/08/26 22:29:36 - mmengine - INFO - Epoch(val) [580][485/500] eta: 0:00:00 time: 0.0421 data_time: 0.0206 memory: 661 2022/08/26 22:29:36 - mmengine - INFO - Epoch(val) [580][490/500] eta: 0:00:00 time: 0.0345 data_time: 0.0117 memory: 661 2022/08/26 22:29:36 - mmengine - INFO - Epoch(val) [580][495/500] eta: 0:00:00 time: 0.0361 data_time: 0.0093 memory: 661 2022/08/26 22:29:36 - mmengine - INFO - Epoch(val) [580][500/500] eta: 0:00:00 time: 0.0417 data_time: 0.0174 memory: 661 2022/08/26 22:29:36 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7458, precision: 0.7899, hmean: 0.7672 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7458, precision: 0.7899, hmean: 0.7672 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7458, precision: 0.7899, hmean: 0.7672 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7458, precision: 0.7899, hmean: 0.7672 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7458, precision: 0.7899, hmean: 0.7672 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7458, precision: 0.7899, hmean: 0.7672 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7458, precision: 0.7915, hmean: 0.7680 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7458, precision: 0.7976, hmean: 0.7708 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7453, precision: 0.8058, hmean: 0.7744 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7443, precision: 0.8145, hmean: 0.7779 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7419, precision: 0.8254, hmean: 0.7814 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7323, precision: 0.8455, hmean: 0.7848 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7039, precision: 0.8630, hmean: 0.7754 2022/08/26 22:29:36 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4766, precision: 0.9133, hmean: 0.6264 2022/08/26 22:29:36 - mmengine - INFO - Epoch(val) [580][500/500] icdar/precision: 0.8455 icdar/recall: 0.7323 icdar/hmean: 0.7848 2022/08/26 22:29:55 - mmengine - INFO - Epoch(train) [581][5/16] lr: 4.4791e-05 eta: 0:00:00 time: 2.9352 data_time: 0.5974 memory: 63381 loss_text: 0.1787 loss_kernel: 0.0985 loss_embedding: 0.0065 loss: 0.2836 2022/08/26 22:30:07 - mmengine - INFO - Epoch(train) [581][10/16] lr: 4.4791e-05 eta: 0:10:10 time: 3.0906 data_time: 0.6406 memory: 63381 loss_text: 0.1856 loss_kernel: 0.1010 loss_embedding: 0.0062 loss: 0.2928 2022/08/26 22:30:24 - mmengine - INFO - Epoch(train) [581][15/16] lr: 4.4791e-05 eta: 0:10:10 time: 2.8379 data_time: 0.0998 memory: 63381 loss_text: 0.2002 loss_kernel: 0.1080 loss_embedding: 0.0054 loss: 0.3135 2022/08/26 22:30:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:30:43 - mmengine - INFO - Epoch(train) [582][5/16] lr: 4.2664e-05 eta: 0:10:10 time: 3.2043 data_time: 0.6088 memory: 63381 loss_text: 0.1716 loss_kernel: 0.0954 loss_embedding: 0.0054 loss: 0.2725 2022/08/26 22:30:59 - mmengine - INFO - Epoch(train) [582][10/16] lr: 4.2664e-05 eta: 0:09:38 time: 3.3288 data_time: 0.7284 memory: 63381 loss_text: 0.1532 loss_kernel: 0.0854 loss_embedding: 0.0057 loss: 0.2444 2022/08/26 22:31:12 - mmengine - INFO - Epoch(train) [582][15/16] lr: 4.2664e-05 eta: 0:09:38 time: 2.8642 data_time: 0.2098 memory: 63381 loss_text: 0.1852 loss_kernel: 0.1007 loss_embedding: 0.0056 loss: 0.2914 2022/08/26 22:31:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:31:34 - mmengine - INFO - Epoch(train) [583][5/16] lr: 4.0525e-05 eta: 0:09:38 time: 3.2640 data_time: 0.6482 memory: 63381 loss_text: 0.1914 loss_kernel: 0.1051 loss_embedding: 0.0054 loss: 0.3019 2022/08/26 22:31:48 - mmengine - INFO - Epoch(train) [583][10/16] lr: 4.0525e-05 eta: 0:09:07 time: 3.2400 data_time: 0.6945 memory: 63381 loss_text: 0.1803 loss_kernel: 0.1003 loss_embedding: 0.0054 loss: 0.2860 2022/08/26 22:32:04 - mmengine - INFO - Epoch(train) [583][15/16] lr: 4.0525e-05 eta: 0:09:07 time: 2.9668 data_time: 0.1170 memory: 63381 loss_text: 0.1852 loss_kernel: 0.1015 loss_embedding: 0.0068 loss: 0.2935 2022/08/26 22:32:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:32:31 - mmengine - INFO - Epoch(train) [584][5/16] lr: 3.8373e-05 eta: 0:09:07 time: 3.9938 data_time: 0.6343 memory: 63381 loss_text: 0.1879 loss_kernel: 0.1028 loss_embedding: 0.0073 loss: 0.2980 2022/08/26 22:32:57 - mmengine - INFO - Epoch(train) [584][10/16] lr: 3.8373e-05 eta: 0:08:36 time: 5.1374 data_time: 0.7742 memory: 63381 loss_text: 0.1837 loss_kernel: 0.1008 loss_embedding: 0.0062 loss: 0.2907 2022/08/26 22:33:20 - mmengine - INFO - Epoch(train) [584][15/16] lr: 3.8373e-05 eta: 0:08:36 time: 4.8184 data_time: 0.2447 memory: 63381 loss_text: 0.1833 loss_kernel: 0.1021 loss_embedding: 0.0063 loss: 0.2918 2022/08/26 22:33:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:33:53 - mmengine - INFO - Epoch(train) [585][5/16] lr: 3.6207e-05 eta: 0:08:36 time: 5.3252 data_time: 0.7556 memory: 63381 loss_text: 0.1839 loss_kernel: 0.1024 loss_embedding: 0.0061 loss: 0.2924 2022/08/26 22:34:13 - mmengine - INFO - Epoch(train) [585][10/16] lr: 3.6207e-05 eta: 0:08:05 time: 5.0625 data_time: 0.9969 memory: 63381 loss_text: 0.1812 loss_kernel: 0.0993 loss_embedding: 0.0064 loss: 0.2870 2022/08/26 22:34:39 - mmengine - INFO - Epoch(train) [585][15/16] lr: 3.6207e-05 eta: 0:08:05 time: 4.6244 data_time: 0.4607 memory: 63381 loss_text: 0.1874 loss_kernel: 0.1023 loss_embedding: 0.0064 loss: 0.2962 2022/08/26 22:34:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:35:12 - mmengine - INFO - Epoch(train) [586][5/16] lr: 3.4028e-05 eta: 0:08:05 time: 5.4162 data_time: 0.7955 memory: 63381 loss_text: 0.1720 loss_kernel: 0.0955 loss_embedding: 0.0053 loss: 0.2728 2022/08/26 22:35:33 - mmengine - INFO - Epoch(train) [586][10/16] lr: 3.4028e-05 eta: 0:07:34 time: 4.9545 data_time: 0.8729 memory: 63381 loss_text: 0.1629 loss_kernel: 0.0924 loss_embedding: 0.0061 loss: 0.2614 2022/08/26 22:36:02 - mmengine - INFO - Epoch(train) [586][15/16] lr: 3.4028e-05 eta: 0:07:34 time: 5.0234 data_time: 0.2290 memory: 63381 loss_text: 0.1803 loss_kernel: 0.0998 loss_embedding: 0.0062 loss: 0.2863 2022/08/26 22:36:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:36:35 - mmengine - INFO - Epoch(train) [587][5/16] lr: 3.1832e-05 eta: 0:07:34 time: 5.5963 data_time: 0.7819 memory: 63381 loss_text: 0.1721 loss_kernel: 0.0940 loss_embedding: 0.0059 loss: 0.2721 2022/08/26 22:36:56 - mmengine - INFO - Epoch(train) [587][10/16] lr: 3.1832e-05 eta: 0:07:03 time: 5.0812 data_time: 0.7783 memory: 63381 loss_text: 0.1673 loss_kernel: 0.0907 loss_embedding: 0.0060 loss: 0.2640 2022/08/26 22:37:25 - mmengine - INFO - Epoch(train) [587][15/16] lr: 3.1832e-05 eta: 0:07:03 time: 5.0078 data_time: 0.2428 memory: 63381 loss_text: 0.1923 loss_kernel: 0.1046 loss_embedding: 0.0059 loss: 0.3028 2022/08/26 22:37:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:37:58 - mmengine - INFO - Epoch(train) [588][5/16] lr: 2.9620e-05 eta: 0:07:03 time: 5.4015 data_time: 1.0176 memory: 63381 loss_text: 0.2063 loss_kernel: 0.1122 loss_embedding: 0.0056 loss: 0.3241 2022/08/26 22:38:24 - mmengine - INFO - Epoch(train) [588][10/16] lr: 2.9620e-05 eta: 0:06:31 time: 5.6261 data_time: 1.0309 memory: 63381 loss_text: 0.2106 loss_kernel: 0.1129 loss_embedding: 0.0065 loss: 0.3300 2022/08/26 22:38:49 - mmengine - INFO - Epoch(train) [588][15/16] lr: 2.9620e-05 eta: 0:06:31 time: 5.0994 data_time: 0.2390 memory: 63381 loss_text: 0.2024 loss_kernel: 0.1097 loss_embedding: 0.0063 loss: 0.3185 2022/08/26 22:38:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:39:19 - mmengine - INFO - Epoch(train) [589][5/16] lr: 2.7389e-05 eta: 0:06:31 time: 5.0206 data_time: 0.7789 memory: 63381 loss_text: 0.1973 loss_kernel: 0.1080 loss_embedding: 0.0063 loss: 0.3116 2022/08/26 22:39:35 - mmengine - INFO - Epoch(train) [589][10/16] lr: 2.7389e-05 eta: 0:06:00 time: 4.4025 data_time: 0.7718 memory: 63381 loss_text: 0.1940 loss_kernel: 0.1060 loss_embedding: 0.0065 loss: 0.3065 2022/08/26 22:39:57 - mmengine - INFO - Epoch(train) [589][15/16] lr: 2.7389e-05 eta: 0:06:00 time: 3.8138 data_time: 0.1588 memory: 63381 loss_text: 0.1933 loss_kernel: 0.1044 loss_embedding: 0.0063 loss: 0.3040 2022/08/26 22:40:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:40:37 - mmengine - INFO - Epoch(train) [590][5/16] lr: 2.5137e-05 eta: 0:06:00 time: 5.5338 data_time: 0.7866 memory: 63381 loss_text: 0.1872 loss_kernel: 0.1006 loss_embedding: 0.0060 loss: 0.2939 2022/08/26 22:40:54 - mmengine - INFO - Epoch(train) [590][10/16] lr: 2.5137e-05 eta: 0:05:29 time: 5.3446 data_time: 0.8478 memory: 63381 loss_text: 0.1822 loss_kernel: 0.1009 loss_embedding: 0.0054 loss: 0.2884 2022/08/26 22:41:35 - mmengine - INFO - Epoch(train) [590][15/16] lr: 2.5137e-05 eta: 0:05:29 time: 5.8056 data_time: 0.2320 memory: 63381 loss_text: 0.1791 loss_kernel: 0.0995 loss_embedding: 0.0059 loss: 0.2845 2022/08/26 22:41:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:42:19 - mmengine - INFO - Epoch(train) [591][5/16] lr: 2.2863e-05 eta: 0:05:29 time: 7.5469 data_time: 1.0045 memory: 63381 loss_text: 0.1856 loss_kernel: 0.1023 loss_embedding: 0.0062 loss: 0.2941 2022/08/26 22:42:48 - mmengine - INFO - Epoch(train) [591][10/16] lr: 2.2863e-05 eta: 0:04:58 time: 6.7590 data_time: 1.0595 memory: 63381 loss_text: 0.1766 loss_kernel: 0.0977 loss_embedding: 0.0056 loss: 0.2799 2022/08/26 22:43:18 - mmengine - INFO - Epoch(train) [591][15/16] lr: 2.2863e-05 eta: 0:04:58 time: 5.8993 data_time: 0.2241 memory: 63381 loss_text: 0.1679 loss_kernel: 0.0939 loss_embedding: 0.0056 loss: 0.2674 2022/08/26 22:43:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:43:58 - mmengine - INFO - Epoch(train) [592][5/16] lr: 2.0563e-05 eta: 0:04:58 time: 6.7346 data_time: 0.8495 memory: 63381 loss_text: 0.1675 loss_kernel: 0.0944 loss_embedding: 0.0076 loss: 0.2696 2022/08/26 22:44:23 - mmengine - INFO - Epoch(train) [592][10/16] lr: 2.0563e-05 eta: 0:04:26 time: 6.1136 data_time: 0.9285 memory: 63381 loss_text: 0.1463 loss_kernel: 0.0842 loss_embedding: 0.0074 loss: 0.2380 2022/08/26 22:44:59 - mmengine - INFO - Epoch(train) [592][15/16] lr: 2.0563e-05 eta: 0:04:26 time: 6.0313 data_time: 0.3245 memory: 63381 loss_text: 0.1621 loss_kernel: 0.0913 loss_embedding: 0.0066 loss: 0.2600 2022/08/26 22:45:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:45:30 - mmengine - INFO - Epoch(train) [593][5/16] lr: 1.8235e-05 eta: 0:04:26 time: 5.5685 data_time: 0.7532 memory: 63381 loss_text: 0.1890 loss_kernel: 0.1046 loss_embedding: 0.0071 loss: 0.3007 2022/08/26 22:46:01 - mmengine - INFO - Epoch(train) [593][10/16] lr: 1.8235e-05 eta: 0:03:55 time: 5.7736 data_time: 0.8294 memory: 63381 loss_text: 0.1931 loss_kernel: 0.1054 loss_embedding: 0.0065 loss: 0.3051 2022/08/26 22:46:31 - mmengine - INFO - Epoch(train) [593][15/16] lr: 1.8235e-05 eta: 0:03:55 time: 6.0554 data_time: 0.4101 memory: 63381 loss_text: 0.1811 loss_kernel: 0.0995 loss_embedding: 0.0055 loss: 0.2861 2022/08/26 22:46:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:47:06 - mmengine - INFO - Epoch(train) [594][5/16] lr: 1.5873e-05 eta: 0:03:55 time: 5.8000 data_time: 0.6697 memory: 63381 loss_text: 0.1866 loss_kernel: 0.1017 loss_embedding: 0.0060 loss: 0.2943 2022/08/26 22:47:27 - mmengine - INFO - Epoch(train) [594][10/16] lr: 1.5873e-05 eta: 0:03:23 time: 5.4213 data_time: 0.7324 memory: 63381 loss_text: 0.1886 loss_kernel: 0.1007 loss_embedding: 0.0055 loss: 0.2948 2022/08/26 22:48:02 - mmengine - INFO - Epoch(train) [594][15/16] lr: 1.5873e-05 eta: 0:03:23 time: 5.6460 data_time: 0.3206 memory: 63381 loss_text: 0.1775 loss_kernel: 0.0970 loss_embedding: 0.0059 loss: 0.2804 2022/08/26 22:48:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:48:55 - mmengine - INFO - Epoch(train) [595][5/16] lr: 1.3471e-05 eta: 0:03:23 time: 7.9618 data_time: 1.0041 memory: 63381 loss_text: 0.1846 loss_kernel: 0.1029 loss_embedding: 0.0066 loss: 0.2942 2022/08/26 22:49:18 - mmengine - INFO - Epoch(train) [595][10/16] lr: 1.3471e-05 eta: 0:02:51 time: 7.2419 data_time: 1.0025 memory: 63381 loss_text: 0.1879 loss_kernel: 0.1035 loss_embedding: 0.0070 loss: 0.2984 2022/08/26 22:49:52 - mmengine - INFO - Epoch(train) [595][15/16] lr: 1.3471e-05 eta: 0:02:51 time: 5.7160 data_time: 0.3474 memory: 63381 loss_text: 0.1879 loss_kernel: 0.1034 loss_embedding: 0.0067 loss: 0.2980 2022/08/26 22:49:56 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:50:23 - mmengine - INFO - Epoch(train) [596][5/16] lr: 1.1020e-05 eta: 0:02:51 time: 5.8469 data_time: 0.7826 memory: 63381 loss_text: 0.1909 loss_kernel: 0.1054 loss_embedding: 0.0070 loss: 0.3033 2022/08/26 22:50:49 - mmengine - INFO - Epoch(train) [596][10/16] lr: 1.1020e-05 eta: 0:02:20 time: 5.3133 data_time: 0.8890 memory: 63381 loss_text: 0.1751 loss_kernel: 0.0977 loss_embedding: 0.0063 loss: 0.2790 2022/08/26 22:51:23 - mmengine - INFO - Epoch(train) [596][15/16] lr: 1.1020e-05 eta: 0:02:20 time: 5.9735 data_time: 0.4731 memory: 63381 loss_text: 0.1878 loss_kernel: 0.1021 loss_embedding: 0.0047 loss: 0.2947 2022/08/26 22:51:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:52:01 - mmengine - INFO - Epoch(train) [597][5/16] lr: 8.5060e-06 eta: 0:02:20 time: 5.9340 data_time: 0.9810 memory: 63381 loss_text: 0.1848 loss_kernel: 0.1020 loss_embedding: 0.0045 loss: 0.2914 2022/08/26 22:52:23 - mmengine - INFO - Epoch(train) [597][10/16] lr: 8.5060e-06 eta: 0:01:48 time: 5.4887 data_time: 0.8957 memory: 63381 loss_text: 0.1818 loss_kernel: 0.1012 loss_embedding: 0.0053 loss: 0.2883 2022/08/26 22:52:54 - mmengine - INFO - Epoch(train) [597][15/16] lr: 8.5060e-06 eta: 0:01:48 time: 5.2929 data_time: 0.3345 memory: 63381 loss_text: 0.1891 loss_kernel: 0.1043 loss_embedding: 0.0061 loss: 0.2995 2022/08/26 22:53:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:53:32 - mmengine - INFO - Epoch(train) [598][5/16] lr: 5.9053e-06 eta: 0:01:48 time: 5.7808 data_time: 0.9078 memory: 63381 loss_text: 0.1897 loss_kernel: 0.1046 loss_embedding: 0.0056 loss: 0.2999 2022/08/26 22:53:58 - mmengine - INFO - Epoch(train) [598][10/16] lr: 5.9053e-06 eta: 0:01:16 time: 5.8440 data_time: 0.9512 memory: 63381 loss_text: 0.1844 loss_kernel: 0.1022 loss_embedding: 0.0057 loss: 0.2923 2022/08/26 22:54:19 - mmengine - INFO - Epoch(train) [598][15/16] lr: 5.9053e-06 eta: 0:01:16 time: 4.6543 data_time: 0.1993 memory: 63381 loss_text: 0.1637 loss_kernel: 0.0912 loss_embedding: 0.0068 loss: 0.2616 2022/08/26 22:54:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:55:09 - mmengine - INFO - Epoch(train) [599][5/16] lr: 3.1646e-06 eta: 0:01:16 time: 6.7188 data_time: 0.9451 memory: 63381 loss_text: 0.1814 loss_kernel: 0.0997 loss_embedding: 0.0061 loss: 0.2872 2022/08/26 22:55:35 - mmengine - INFO - Epoch(train) [599][10/16] lr: 3.1646e-06 eta: 0:00:44 time: 7.3942 data_time: 1.2036 memory: 63381 loss_text: 0.1818 loss_kernel: 0.1003 loss_embedding: 0.0064 loss: 0.2885 2022/08/26 22:56:02 - mmengine - INFO - Epoch(train) [599][15/16] lr: 3.1646e-06 eta: 0:00:44 time: 5.3254 data_time: 0.5005 memory: 63381 loss_text: 0.1869 loss_kernel: 0.1039 loss_embedding: 0.0066 loss: 0.2974 2022/08/26 22:56:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:56:41 - mmengine - INFO - Epoch(train) [600][5/16] lr: 0.0000e+00 eta: 0:00:44 time: 5.8584 data_time: 0.9004 memory: 63381 loss_text: 0.1921 loss_kernel: 0.1075 loss_embedding: 0.0075 loss: 0.3072 2022/08/26 22:57:00 - mmengine - INFO - Epoch(train) [600][10/16] lr: 0.0000e+00 eta: 0:00:12 time: 5.4861 data_time: 0.8812 memory: 63381 loss_text: 0.1841 loss_kernel: 0.1040 loss_embedding: 0.0068 loss: 0.2949 2022/08/26 22:57:35 - mmengine - INFO - Epoch(train) [600][15/16] lr: 0.0000e+00 eta: 0:00:12 time: 5.4426 data_time: 0.2386 memory: 63381 loss_text: 0.1830 loss_kernel: 0.1029 loss_embedding: 0.0053 loss: 0.2912 2022/08/26 22:57:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817 2022/08/26 22:57:41 - mmengine - INFO - Saving checkpoint at 600 epochs 2022/08/26 22:57:47 - mmengine - INFO - Epoch(val) [600][5/500] eta: 0:00:12 time: 0.2499 data_time: 0.0878 memory: 39748 2022/08/26 22:57:47 - mmengine - INFO - Epoch(val) [600][10/500] eta: 0:01:57 time: 0.2398 data_time: 0.0761 memory: 661 2022/08/26 22:57:47 - mmengine - INFO - Epoch(val) [600][15/500] eta: 0:01:57 time: 0.0233 data_time: 0.0019 memory: 661 2022/08/26 22:57:47 - mmengine - INFO - Epoch(val) [600][20/500] eta: 0:00:10 time: 0.0223 data_time: 0.0021 memory: 661 2022/08/26 22:57:47 - mmengine - INFO - Epoch(val) [600][25/500] eta: 0:00:10 time: 0.0218 data_time: 0.0022 memory: 661 2022/08/26 22:57:47 - mmengine - INFO - Epoch(val) [600][30/500] eta: 0:00:14 time: 0.0315 data_time: 0.0023 memory: 661 2022/08/26 22:57:48 - mmengine - INFO - Epoch(val) [600][35/500] eta: 0:00:14 time: 0.0403 data_time: 0.0021 memory: 661 2022/08/26 22:57:48 - mmengine - INFO - Epoch(val) [600][40/500] eta: 0:00:15 time: 0.0337 data_time: 0.0020 memory: 661 2022/08/26 22:57:48 - mmengine - INFO - Epoch(val) [600][45/500] eta: 0:00:15 time: 0.0253 data_time: 0.0020 memory: 661 2022/08/26 22:57:48 - mmengine - INFO - Epoch(val) [600][50/500] eta: 0:00:10 time: 0.0232 data_time: 0.0020 memory: 661 2022/08/26 22:57:48 - mmengine - INFO - Epoch(val) [600][55/500] eta: 0:00:10 time: 0.0304 data_time: 0.0021 memory: 661 2022/08/26 22:57:48 - mmengine - INFO - Epoch(val) [600][60/500] eta: 0:00:12 time: 0.0293 data_time: 0.0022 memory: 661 2022/08/26 22:57:48 - mmengine - INFO - Epoch(val) [600][65/500] eta: 0:00:12 time: 0.0243 data_time: 0.0023 memory: 661 2022/08/26 22:57:49 - mmengine - INFO - Epoch(val) [600][70/500] eta: 0:00:11 time: 0.0265 data_time: 0.0025 memory: 661 2022/08/26 22:57:49 - mmengine - INFO - Epoch(val) [600][75/500] eta: 0:00:11 time: 0.0240 data_time: 0.0024 memory: 661 2022/08/26 22:57:49 - mmengine - INFO - Epoch(val) [600][80/500] eta: 0:00:09 time: 0.0230 data_time: 0.0028 memory: 661 2022/08/26 22:57:49 - mmengine - INFO - Epoch(val) [600][85/500] eta: 0:00:09 time: 0.0225 data_time: 0.0029 memory: 661 2022/08/26 22:57:49 - mmengine - INFO - Epoch(val) [600][90/500] eta: 0:00:12 time: 0.0317 data_time: 0.0030 memory: 661 2022/08/26 22:57:49 - mmengine - INFO - Epoch(val) [600][95/500] eta: 0:00:12 time: 0.0338 data_time: 0.0033 memory: 661 2022/08/26 22:57:49 - mmengine - INFO - Epoch(val) [600][100/500] eta: 0:00:09 time: 0.0247 data_time: 0.0032 memory: 661 2022/08/26 22:57:50 - mmengine - INFO - Epoch(val) [600][105/500] eta: 0:00:09 time: 0.0296 data_time: 0.0028 memory: 661 2022/08/26 22:57:50 - mmengine - INFO - Epoch(val) [600][110/500] eta: 0:00:11 time: 0.0294 data_time: 0.0025 memory: 661 2022/08/26 22:57:50 - mmengine - INFO - Epoch(val) [600][115/500] eta: 0:00:11 time: 0.0243 data_time: 0.0025 memory: 661 2022/08/26 22:57:50 - mmengine - INFO - Epoch(val) [600][120/500] eta: 0:00:09 time: 0.0249 data_time: 0.0025 memory: 661 2022/08/26 22:57:50 - mmengine - INFO - Epoch(val) [600][125/500] eta: 0:00:09 time: 0.0237 data_time: 0.0024 memory: 661 2022/08/26 22:57:50 - mmengine - INFO - Epoch(val) [600][130/500] eta: 0:00:08 time: 0.0231 data_time: 0.0024 memory: 661 2022/08/26 22:57:50 - mmengine - INFO - Epoch(val) [600][135/500] eta: 0:00:08 time: 0.0230 data_time: 0.0024 memory: 661 2022/08/26 22:57:50 - mmengine - INFO - Epoch(val) [600][140/500] eta: 0:00:08 time: 0.0235 data_time: 0.0023 memory: 661 2022/08/26 22:57:51 - mmengine - INFO - Epoch(val) [600][145/500] eta: 0:00:08 time: 0.0241 data_time: 0.0023 memory: 661 2022/08/26 22:57:51 - mmengine - INFO - Epoch(val) [600][150/500] eta: 0:00:08 time: 0.0244 data_time: 0.0024 memory: 661 2022/08/26 22:57:51 - mmengine - INFO - Epoch(val) [600][155/500] eta: 0:00:08 time: 0.0406 data_time: 0.0023 memory: 661 2022/08/26 22:57:51 - mmengine - INFO - Epoch(val) [600][160/500] eta: 0:00:13 time: 0.0403 data_time: 0.0022 memory: 661 2022/08/26 22:57:51 - mmengine - INFO - Epoch(val) [600][165/500] eta: 0:00:13 time: 0.0255 data_time: 0.0024 memory: 661 2022/08/26 22:57:51 - mmengine - INFO - Epoch(val) [600][170/500] eta: 0:00:08 time: 0.0258 data_time: 0.0023 memory: 661 2022/08/26 22:57:51 - mmengine - INFO - Epoch(val) [600][175/500] eta: 0:00:08 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 22:57:52 - mmengine - INFO - Epoch(val) [600][180/500] eta: 0:00:07 time: 0.0228 data_time: 0.0023 memory: 661 2022/08/26 22:57:52 - mmengine - INFO - Epoch(val) [600][185/500] eta: 0:00:07 time: 0.0248 data_time: 0.0021 memory: 661 2022/08/26 22:57:52 - mmengine - INFO - Epoch(val) [600][190/500] eta: 0:00:07 time: 0.0252 data_time: 0.0021 memory: 661 2022/08/26 22:57:52 - mmengine - INFO - Epoch(val) [600][195/500] eta: 0:00:07 time: 0.0233 data_time: 0.0024 memory: 661 2022/08/26 22:57:52 - mmengine - INFO - Epoch(val) [600][200/500] eta: 0:00:08 time: 0.0279 data_time: 0.0027 memory: 661 2022/08/26 22:57:52 - mmengine - INFO - Epoch(val) [600][205/500] eta: 0:00:08 time: 0.0301 data_time: 0.0034 memory: 661 2022/08/26 22:57:52 - mmengine - INFO - Epoch(val) [600][210/500] eta: 0:00:07 time: 0.0242 data_time: 0.0033 memory: 661 2022/08/26 22:57:52 - mmengine - INFO - Epoch(val) [600][215/500] eta: 0:00:07 time: 0.0228 data_time: 0.0024 memory: 661 2022/08/26 22:57:53 - mmengine - INFO - Epoch(val) [600][220/500] eta: 0:00:08 time: 0.0294 data_time: 0.0076 memory: 661 2022/08/26 22:57:53 - mmengine - INFO - Epoch(val) [600][225/500] eta: 0:00:08 time: 0.0294 data_time: 0.0076 memory: 661 2022/08/26 22:57:53 - mmengine - INFO - Epoch(val) [600][230/500] eta: 0:00:05 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 22:57:53 - mmengine - INFO - Epoch(val) [600][235/500] eta: 0:00:05 time: 0.0222 data_time: 0.0022 memory: 661 2022/08/26 22:57:53 - mmengine - INFO - Epoch(val) [600][240/500] eta: 0:00:06 time: 0.0248 data_time: 0.0023 memory: 661 2022/08/26 22:57:53 - mmengine - INFO - Epoch(val) [600][245/500] eta: 0:00:06 time: 0.0237 data_time: 0.0024 memory: 661 2022/08/26 22:57:53 - mmengine - INFO - Epoch(val) [600][250/500] eta: 0:00:06 time: 0.0246 data_time: 0.0025 memory: 661 2022/08/26 22:57:53 - mmengine - INFO - Epoch(val) [600][255/500] eta: 0:00:06 time: 0.0247 data_time: 0.0025 memory: 661 2022/08/26 22:57:54 - mmengine - INFO - Epoch(val) [600][260/500] eta: 0:00:05 time: 0.0230 data_time: 0.0025 memory: 661 2022/08/26 22:57:54 - mmengine - INFO - Epoch(val) [600][265/500] eta: 0:00:05 time: 0.0228 data_time: 0.0024 memory: 661 2022/08/26 22:57:54 - mmengine - INFO - Epoch(val) [600][270/500] eta: 0:00:05 time: 0.0227 data_time: 0.0023 memory: 661 2022/08/26 22:57:54 - mmengine - INFO - Epoch(val) [600][275/500] eta: 0:00:05 time: 0.0218 data_time: 0.0021 memory: 661 2022/08/26 22:57:54 - mmengine - INFO - Epoch(val) [600][280/500] eta: 0:00:05 time: 0.0237 data_time: 0.0020 memory: 661 2022/08/26 22:57:54 - mmengine - INFO - Epoch(val) [600][285/500] eta: 0:00:05 time: 0.0248 data_time: 0.0023 memory: 661 2022/08/26 22:57:54 - mmengine - INFO - Epoch(val) [600][290/500] eta: 0:00:05 time: 0.0251 data_time: 0.0026 memory: 661 2022/08/26 22:57:54 - mmengine - INFO - Epoch(val) [600][295/500] eta: 0:00:05 time: 0.0254 data_time: 0.0026 memory: 661 2022/08/26 22:57:55 - mmengine - INFO - Epoch(val) [600][300/500] eta: 0:00:04 time: 0.0231 data_time: 0.0024 memory: 661 2022/08/26 22:57:55 - mmengine - INFO - Epoch(val) [600][305/500] eta: 0:00:04 time: 0.0243 data_time: 0.0036 memory: 661 2022/08/26 22:57:55 - mmengine - INFO - Epoch(val) [600][310/500] eta: 0:00:04 time: 0.0247 data_time: 0.0035 memory: 661 2022/08/26 22:57:55 - mmengine - INFO - Epoch(val) [600][315/500] eta: 0:00:04 time: 0.0252 data_time: 0.0022 memory: 661 2022/08/26 22:57:55 - mmengine - INFO - Epoch(val) [600][320/500] eta: 0:00:04 time: 0.0243 data_time: 0.0023 memory: 661 2022/08/26 22:58:02 - mmengine - INFO - Epoch(val) [600][325/500] eta: 0:00:04 time: 0.6198 data_time: 0.0399 memory: 661 2022/08/26 22:58:02 - mmengine - INFO - Epoch(val) [600][330/500] eta: 0:01:55 time: 0.6783 data_time: 0.0928 memory: 661 2022/08/26 22:58:02 - mmengine - INFO - Epoch(val) [600][335/500] eta: 0:01:55 time: 0.0815 data_time: 0.0556 memory: 661 2022/08/26 22:58:02 - mmengine - INFO - Epoch(val) [600][340/500] eta: 0:00:04 time: 0.0276 data_time: 0.0027 memory: 661 2022/08/26 22:58:02 - mmengine - INFO - Epoch(val) [600][345/500] eta: 0:00:04 time: 0.0314 data_time: 0.0067 memory: 661 2022/08/26 22:58:02 - mmengine - INFO - Epoch(val) [600][350/500] eta: 0:00:05 time: 0.0346 data_time: 0.0078 memory: 661 2022/08/26 22:58:03 - mmengine - INFO - Epoch(val) [600][355/500] eta: 0:00:05 time: 0.0311 data_time: 0.0040 memory: 661 2022/08/26 22:58:03 - mmengine - INFO - Epoch(val) [600][360/500] eta: 0:00:03 time: 0.0254 data_time: 0.0029 memory: 661 2022/08/26 22:58:04 - mmengine - INFO - Epoch(val) [600][365/500] eta: 0:00:03 time: 0.1443 data_time: 0.1218 memory: 661 2022/08/26 22:58:04 - mmengine - INFO - Epoch(val) [600][370/500] eta: 0:00:18 time: 0.1418 data_time: 0.1212 memory: 661 2022/08/26 22:58:04 - mmengine - INFO - Epoch(val) [600][375/500] eta: 0:00:18 time: 0.0220 data_time: 0.0020 memory: 661 2022/08/26 22:58:04 - mmengine - INFO - Epoch(val) [600][380/500] eta: 0:00:03 time: 0.0261 data_time: 0.0032 memory: 661 2022/08/26 22:58:05 - mmengine - INFO - Epoch(val) [600][385/500] eta: 0:00:03 time: 0.0264 data_time: 0.0032 memory: 661 2022/08/26 22:58:05 - mmengine - INFO - Epoch(val) [600][390/500] eta: 0:00:02 time: 0.0239 data_time: 0.0025 memory: 661 2022/08/26 22:58:05 - mmengine - INFO - Epoch(val) [600][395/500] eta: 0:00:02 time: 0.0251 data_time: 0.0035 memory: 661 2022/08/26 22:58:05 - mmengine - INFO - Epoch(val) [600][400/500] eta: 0:00:02 time: 0.0241 data_time: 0.0034 memory: 661 2022/08/26 22:58:05 - mmengine - INFO - Epoch(val) [600][405/500] eta: 0:00:02 time: 0.0231 data_time: 0.0023 memory: 661 2022/08/26 22:58:05 - mmengine - INFO - Epoch(val) [600][410/500] eta: 0:00:02 time: 0.0248 data_time: 0.0023 memory: 661 2022/08/26 22:58:06 - mmengine - INFO - Epoch(val) [600][415/500] eta: 0:00:02 time: 0.0809 data_time: 0.0103 memory: 661 2022/08/26 22:58:06 - mmengine - INFO - Epoch(val) [600][420/500] eta: 0:00:06 time: 0.0782 data_time: 0.0103 memory: 661 2022/08/26 22:58:06 - mmengine - INFO - Epoch(val) [600][425/500] eta: 0:00:06 time: 0.0274 data_time: 0.0079 memory: 661 2022/08/26 22:58:06 - mmengine - INFO - Epoch(val) [600][430/500] eta: 0:00:02 time: 0.0348 data_time: 0.0135 memory: 661 2022/08/26 22:58:06 - mmengine - INFO - Epoch(val) [600][435/500] eta: 0:00:02 time: 0.0285 data_time: 0.0080 memory: 661 2022/08/26 22:58:07 - mmengine - INFO - Epoch(val) [600][440/500] eta: 0:00:01 time: 0.0231 data_time: 0.0022 memory: 661 2022/08/26 22:58:07 - mmengine - INFO - Epoch(val) [600][445/500] eta: 0:00:01 time: 0.0252 data_time: 0.0022 memory: 661 2022/08/26 22:58:07 - mmengine - INFO - Epoch(val) [600][450/500] eta: 0:00:01 time: 0.0254 data_time: 0.0022 memory: 661 2022/08/26 22:58:07 - mmengine - INFO - Epoch(val) [600][455/500] eta: 0:00:01 time: 0.0245 data_time: 0.0022 memory: 661 2022/08/26 22:58:07 - mmengine - INFO - Epoch(val) [600][460/500] eta: 0:00:00 time: 0.0228 data_time: 0.0025 memory: 661 2022/08/26 22:58:07 - mmengine - INFO - Epoch(val) [600][465/500] eta: 0:00:00 time: 0.0218 data_time: 0.0026 memory: 661 2022/08/26 22:58:07 - mmengine - INFO - Epoch(val) [600][470/500] eta: 0:00:00 time: 0.0223 data_time: 0.0024 memory: 661 2022/08/26 22:58:07 - mmengine - INFO - Epoch(val) [600][475/500] eta: 0:00:00 time: 0.0221 data_time: 0.0028 memory: 661 2022/08/26 22:58:07 - mmengine - INFO - Epoch(val) [600][480/500] eta: 0:00:00 time: 0.0226 data_time: 0.0028 memory: 661 2022/08/26 22:58:08 - mmengine - INFO - Epoch(val) [600][485/500] eta: 0:00:00 time: 0.0228 data_time: 0.0023 memory: 661 2022/08/26 22:58:08 - mmengine - INFO - Epoch(val) [600][490/500] eta: 0:00:00 time: 0.0239 data_time: 0.0024 memory: 661 2022/08/26 22:58:08 - mmengine - INFO - Epoch(val) [600][495/500] eta: 0:00:00 time: 0.0249 data_time: 0.0025 memory: 661 2022/08/26 22:58:08 - mmengine - INFO - Epoch(val) [600][500/500] eta: 0:00:00 time: 0.0380 data_time: 0.0027 memory: 661 2022/08/26 22:58:08 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7492, precision: 0.7886, hmean: 0.7684 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7492, precision: 0.7886, hmean: 0.7684 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7492, precision: 0.7886, hmean: 0.7684 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7492, precision: 0.7886, hmean: 0.7684 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7492, precision: 0.7886, hmean: 0.7684 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7492, precision: 0.7886, hmean: 0.7684 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7492, precision: 0.7907, hmean: 0.7693 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7492, precision: 0.7967, hmean: 0.7722 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7492, precision: 0.8050, hmean: 0.7761 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7468, precision: 0.8142, hmean: 0.7790 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7424, precision: 0.8242, hmean: 0.7812 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7347, precision: 0.8366, hmean: 0.7824 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7097, precision: 0.8590, hmean: 0.7772 2022/08/26 22:58:08 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4896, precision: 0.9097, hmean: 0.6366 2022/08/26 22:58:08 - mmengine - INFO - Epoch(val) [600][500/500] icdar/precision: 0.8366 icdar/recall: 0.7347 icdar/hmean: 0.7824